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May 9th, 2019
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  1. 1
  2. 00:00:28,988 --> 00:00:34,911
  3. Worldwide, we're looking at
  4. approximately 315 million
  5. people with diabetes.
  6.  
  7. 2
  8. 00:00:34,953 --> 00:00:38,915
  9. There's no question
  10. that we're in the midst
  11. of a diabetes epidemic.
  12.  
  13. 3
  14. 00:00:38,957 --> 00:00:42,376
  15. Right now, one in three
  16. Medicare dollars
  17.  
  18. 4
  19. 00:00:42,418 --> 00:00:45,463
  20. is spent in the care
  21. of people with diabetes.
  22.  
  23. 5
  24. 00:00:45,504 --> 00:00:51,385
  25. One in ten total
  26. health care dollars is spent
  27. on people with diabetes.
  28.  
  29. 6
  30. 00:00:51,427 --> 00:00:54,555
  31. There's no question that
  32. this is a major problem.
  33.  
  34. 7
  35. 00:00:54,597 --> 00:00:59,310
  36. [Kip] What in particular
  37. is the correlation
  38. for diet and diabetes?
  39.  
  40. 8
  41. 00:00:59,351 --> 00:01:01,061
  42. I'm not gonna get into that.
  43.  
  44. 9
  45. 00:01:01,103 --> 00:01:02,480
  46. - Into diet?
  47. - No.
  48.  
  49. 10
  50. 00:01:03,188 --> 00:01:05,065
  51. [Latin music playing]
  52.  
  53. 11
  54. 00:01:24,752 --> 00:01:26,671
  55. My name's Kip.
  56.  
  57. 12
  58. 00:01:26,712 --> 00:01:28,941
  59. I'm a filmmaker from San
  60. Francisco, and I have a
  61. confession to make.
  62.  
  63. 13
  64. 00:01:28,965 --> 00:01:30,925
  65. I'm a recovering hypochondriac.
  66.  
  67. 14
  68. 00:01:30,967 --> 00:01:33,803
  69. Like so many of us,
  70. I have a family history
  71. of diabetes,
  72.  
  73. 15
  74. 00:01:33,845 --> 00:01:35,638
  75. heart disease and cancer.
  76.  
  77. 16
  78. 00:01:35,680 --> 00:01:39,600
  79. My dad had his first heart
  80. bypass at 49, his second
  81. at age 50.
  82.  
  83. 17
  84. 00:01:39,642 --> 00:01:42,227
  85. My grandpa died young from
  86. diabetes complications,
  87.  
  88. 18
  89. 00:01:42,269 --> 00:01:45,564
  90. and both my other grandpa
  91. and grandma died of cancer.
  92.  
  93. 19
  94. 00:01:45,606 --> 00:01:48,693
  95. I was always paranoid
  96. that I would also get
  97. one of these diseases.
  98.  
  99. 20
  100. 00:01:48,734 --> 00:01:52,363
  101. Like any good hypochondriac,
  102. WebMD's symptoms checker
  103. was essentially
  104.  
  105. 21
  106. 00:01:52,404 --> 00:01:54,198
  107. my browser's home page.
  108.  
  109. 22
  110. 00:01:54,239 --> 00:01:57,451
  111. Even in my teens
  112. I took Metamucil every day
  113. and a daily aspirin.
  114.  
  115. 23
  116. 00:01:57,493 --> 00:01:59,662
  117. I read all the latest
  118. self-diagnosis books,
  119.  
  120. 24
  121. 00:01:59,704 --> 00:02:02,289
  122. I ate every multivitamin
  123. I could get my hands on,
  124.  
  125. 25
  126. 00:02:02,331 --> 00:02:04,750
  127. and I was obsessed with
  128. bodily functions.
  129.  
  130. 26
  131. 00:02:04,792 --> 00:02:06,878
  132. I followed all the large
  133. health organizations'
  134.  
  135. 27
  136. 00:02:06,919 --> 00:02:08,963
  137. recommendations for
  138. preventing disease.
  139.  
  140. 28
  141. 00:02:09,005 --> 00:02:13,051
  142. I exercise regularly,
  143. don't smoke, don't drink soda,
  144. get enough sleep,
  145.  
  146. 29
  147. 00:02:13,092 --> 00:02:17,346
  148. reduce stress and grew up
  149. eating what I thought was
  150. a healthy diet until...
  151.  
  152. 30
  153. 00:02:17,388 --> 00:02:19,574
  154. -[tires screeching]
  155. -The World Health
  156. Organization this morning
  157.  
  158. 31
  159. 00:02:19,598 --> 00:02:23,853
  160. has classified processed
  161. meat such as bacon
  162. and sausage as carcinogenic,
  163.  
  164. 32
  165. 00:02:23,895 --> 00:02:27,314
  166. directly involved in
  167. causing cancer in humans.
  168.  
  169. 33
  170. 00:02:27,356 --> 00:02:31,360
  171. [male anchor] Processed meat
  172. is clearly linked to
  173. an increase in cancer.
  174.  
  175. 34
  176. 00:02:31,402 --> 00:02:35,698
  177. Hotdogs or, bacon could
  178. be just as dangerous
  179. as smoking cigarettes.
  180.  
  181. 35
  182. 00:02:35,740 --> 00:02:37,759
  183. [Kip] The World
  184. Health Organization
  185. had looked at over
  186.  
  187. 36
  188. 00:02:37,783 --> 00:02:40,619
  189. 800 studies from
  190. ten different countries,
  191.  
  192. 37
  193. 00:02:40,661 --> 00:02:44,373
  194. finding a direct link to
  195. consuming processed meat
  196. and cancer.
  197.  
  198. 38
  199. 00:02:44,415 --> 00:02:46,500
  200. Just one serving
  201. of deli meats daily
  202.  
  203. 39
  204. 00:02:46,542 --> 00:02:50,796
  205. increases your risks of
  206. colorectal cancer by 18%.
  207.  
  208. 40
  209. 00:02:50,838 --> 00:02:54,050
  210. I had no idea
  211. that what we ate
  212. affected cancer rates.
  213.  
  214. 41
  215. 00:02:54,092 --> 00:02:57,720
  216. But I never felt like I had
  217. eaten a lot of processed meats
  218. until I realized that
  219.  
  220. 42
  221. 00:02:57,762 --> 00:03:00,806
  222. processed meat includes
  223. hotdogs, bacon, sausage,
  224.  
  225. 43
  226. 00:03:00,848 --> 00:03:04,102
  227. salami, ham, pepperoni,
  228. cold cuts and deli slices,
  229.  
  230. 44
  231. 00:03:04,143 --> 00:03:06,311
  232. basically everything
  233. I grew up eating.
  234.  
  235. 45
  236. 00:03:06,353 --> 00:03:09,023
  237. The World Health Organization
  238. classifies processed meat
  239.  
  240. 46
  241. 00:03:09,065 --> 00:03:11,275
  242. as a Group One carcinogen,
  243.  
  244. 47
  245. 00:03:11,316 --> 00:03:15,863
  246. the same group as cigarettes,
  247. asbestos and plutonium,
  248.  
  249. 48
  250. 00:03:15,905 --> 00:03:19,033
  251. and classifies red meat
  252. as a Group Two carcinogen.
  253.  
  254. 49
  255. 00:03:19,075 --> 00:03:23,662
  256. Was this like I had
  257. essentially been smoking
  258. my entire childhood?
  259.  
  260. 50
  261. 00:03:23,704 --> 00:03:26,124
  262. If processed meats are labeled
  263. the same as cigarettes,
  264.  
  265. 51
  266. 00:03:26,165 --> 00:03:29,919
  267. how is it even legal for
  268. kids to be eating this way?
  269.  
  270. 52
  271. 00:03:29,961 --> 00:03:31,670
  272. I thought this
  273. was new information,
  274.  
  275. 53
  276. 00:03:31,712 --> 00:03:35,841
  277. but, many of these studies
  278. have been around for 50 years.
  279.  
  280. 54
  281. 00:03:35,883 --> 00:03:38,427
  282. I couldn't believe I'd
  283. been eating processed meats
  284.  
  285. 55
  286. 00:03:38,469 --> 00:03:43,766
  287. virtually my entire life and
  288. was just now finding out
  289. how dangerous they are.
  290.  
  291. 56
  292. 00:03:43,808 --> 00:03:47,061
  293. Why hadn't I been
  294. hearing about it from
  295. the American Cancer Society,
  296.  
  297. 57
  298. 00:03:47,103 --> 00:03:49,438
  299. the largest cancer group
  300. in the nation?
  301.  
  302. 58
  303. 00:03:49,480 --> 00:03:51,816
  304. When I went on their website,
  305. I was shocked to see that
  306.  
  307. 59
  308. 00:03:51,857 --> 00:03:54,568
  309. none of this information
  310. was featured on
  311. their home page.
  312.  
  313. 60
  314. 00:03:54,610 --> 00:03:57,989
  315. But, even more shocking,
  316. on their Eat Healthy page,
  317.  
  318. 61
  319. 00:03:58,030 --> 00:04:01,742
  320. they actually encouraged
  321. eating Group One
  322. carcinogenic foods
  323.  
  324. 62
  325. 00:04:01,784 --> 00:04:03,869
  326. like processed turkey
  327. and canned meats.
  328.  
  329. 63
  330. 00:04:03,911 --> 00:04:06,122
  331. This is after the World
  332. Health Organization
  333.  
  334. 64
  335. 00:04:06,164 --> 00:04:10,876
  336. reviewed over 800 studies
  337. definitively linking
  338. processed meat to cancer.
  339.  
  340. 65
  341. 00:04:10,918 --> 00:04:14,254
  342. [man] Thanks for calling your
  343. American Cancer Society.
  344. My name is Sam,
  345.  
  346. 66
  347. 00:04:14,296 --> 00:04:16,841
  348. I'm a cancer information
  349. specialist. How may I
  350. help you today?
  351.  
  352. 67
  353. 00:04:16,882 --> 00:04:18,968
  354. Yeah, I was calling
  355. because I was wondering why
  356.  
  357. 68
  358. 00:04:19,010 --> 00:04:23,222
  359. you all recommend people
  360. to eat processed meat
  361. on your website,
  362.  
  363. 69
  364. 00:04:23,263 --> 00:04:28,019
  365. which the World Health
  366. Organization has classified
  367. as a Group One carcinogen?
  368.  
  369. 70
  370. 00:04:28,060 --> 00:04:33,065
  371. Which is the same class as
  372. tobacco smoking, asbestos
  373. and plutonium.
  374.  
  375. 71
  376. 00:04:34,316 --> 00:04:36,194
  377. This would be like
  378. a lung organization
  379.  
  380. 72
  381. 00:04:36,235 --> 00:04:40,531
  382. having a How to Roll
  383. Your Own Cigarette section
  384. on their website.
  385.  
  386. 73
  387. 00:04:40,572 --> 00:04:42,616
  388. It's kinda the same thing.
  389.  
  390. 74
  391. 00:04:42,658 --> 00:04:46,078
  392. [Sam] Well,
  393. let me just place you
  394. on a brief hold because...
  395.  
  396. 75
  397. 00:04:46,120 --> 00:04:50,208
  398. [Kip] He wasn't able to
  399. answer my questions and said
  400. someone would get back with me.
  401.  
  402. 76
  403. 00:04:50,249 --> 00:04:51,959
  404. I had always been concerned
  405. about cancer
  406.  
  407. 77
  408. 00:04:52,001 --> 00:04:55,379
  409. because both my grandma
  410. and grandpa died of cancer.
  411.  
  412. 78
  413. 00:04:55,420 --> 00:04:58,399
  414. I wondered if things would've
  415. been different had they
  416. known the link between diet
  417.  
  418. 79
  419. 00:04:58,423 --> 00:05:00,425
  420. and this terrible disease.
  421.  
  422. 80
  423. 00:05:00,467 --> 00:05:03,554
  424. In the US,
  425. one out of every four deaths
  426. is from cancer.
  427.  
  428. 81
  429. 00:05:05,264 --> 00:05:06,891
  430. Oh, sweet!
  431.  
  432. 82
  433. 00:05:06,932 --> 00:05:09,293
  434. American Cancer Society rep
  435. confirmed an interview
  436. this week.
  437.  
  438. 83
  439. 00:05:11,645 --> 00:05:14,982
  440. So, we just went in for the
  441. interview with the American
  442. Cancer Society rep,
  443.  
  444. 84
  445. 00:05:15,024 --> 00:05:18,402
  446. and the security guard said
  447. there's no interview scheduled.
  448.  
  449. 85
  450. 00:05:18,443 --> 00:05:21,280
  451. So, I went into my phone
  452. and it turns out last night,
  453.  
  454. 86
  455. 00:05:21,321 --> 00:05:23,217
  456. after I told her that the
  457. interview's gonna be about
  458.  
  459. 87
  460. 00:05:23,241 --> 00:05:26,077
  461. the correlation between
  462. diet and cancer,
  463.  
  464. 88
  465. 00:05:26,118 --> 00:05:30,539
  466. she said she could no
  467. longer do the interview.
  468.  
  469. 89
  470. 00:05:30,581 --> 00:05:33,000
  471. [Kip] After repeated emails
  472. asking why she was declining
  473.  
  474. 90
  475. 00:05:33,042 --> 00:05:36,295
  476. my interview to simply
  477. talk about diet and cancer,
  478.  
  479. 91
  480. 00:05:36,336 --> 00:05:39,257
  481. she stopped
  482. responding altogether.
  483.  
  484. 92
  485. 00:05:39,298 --> 00:05:44,262
  486. Why would an American Cancer
  487. Society rep not want to
  488. talk about this?
  489.  
  490. 93
  491. 00:05:44,303 --> 00:05:46,555
  492. I was, however,
  493. able to connect
  494. with a growing movement
  495.  
  496. 94
  497. 00:05:46,597 --> 00:05:48,557
  498. of doctors who are willing
  499. to talk about the link
  500.  
  501. 95
  502. 00:05:48,599 --> 00:05:50,976
  503. between the standard
  504. American diet and disease.
  505.  
  506. 96
  507. 00:05:51,018 --> 00:05:52,853
  508. And it goes beyond just cancer.
  509.  
  510. 97
  511. 00:05:52,895 --> 00:05:56,857
  512. I took my old trusty van
  513. Super Blue once again
  514. out on the road.
  515.  
  516. 98
  517. 00:05:56,899 --> 00:05:59,318
  518. 2/3 of adults are now
  519. overweight or, obese.
  520.  
  521. 99
  522. 00:05:59,359 --> 00:06:02,280
  523. And we have
  524. an epidemic cascade
  525. of debilitating disease
  526.  
  527. 100
  528. 00:06:02,321 --> 00:06:03,906
  529. that's overcoming the country.
  530.  
  531. 101
  532. 00:06:03,948 --> 00:06:07,492
  533. There's no way we can sustain
  534. the current style of care
  535.  
  536. 102
  537. 00:06:07,534 --> 00:06:11,789
  538. with the epidemic that
  539. we're creating with our
  540. diet and lifestyle choices.
  541.  
  542. 103
  543. 00:06:11,830 --> 00:06:15,667
  544. The diabetes, the arthritis,
  545. the heart disease,
  546. the dementia,
  547.  
  548. 104
  549. 00:06:15,709 --> 00:06:20,089
  550. the obesity,
  551. the cancers are affecting
  552. about 70% of deaths.
  553.  
  554. 105
  555. 00:06:20,131 --> 00:06:24,051
  556. All the data is that those
  557. 70% of deaths and morbidity
  558.  
  559. 106
  560. 00:06:24,093 --> 00:06:26,511
  561. are largely lifestyle
  562. related and preventable.
  563.  
  564. 107
  565. 00:06:26,553 --> 00:06:30,224
  566. Most kids by age ten in the US
  567.  
  568. 108
  569. 00:06:30,266 --> 00:06:32,226
  570. already have fatty streaks
  571. in their arteries,
  572.  
  573. 109
  574. 00:06:32,268 --> 00:06:36,230
  575. the first stage of
  576. atherosclerosis leading to
  577. heart attacks, strokes.
  578.  
  579. 110
  580. 00:06:36,272 --> 00:06:40,109
  581. Here in American medicine,
  582. we operate from
  583. the disease model.
  584.  
  585. 111
  586. 00:06:40,151 --> 00:06:42,945
  587. We are in the business
  588. of treating sick people,
  589.  
  590. 112
  591. 00:06:42,987 --> 00:06:46,949
  592. we are not in the business
  593. of trying to prevent people
  594. from becoming sick.
  595.  
  596. 113
  597. 00:06:46,991 --> 00:06:48,867
  598. When you look at
  599. chronic disease risk,
  600.  
  601. 114
  602. 00:06:48,909 --> 00:06:51,120
  603. all the things that we
  604. walk around worrying about.
  605.  
  606. 115
  607. 00:06:51,162 --> 00:06:55,749
  608. Actually, dietary choices
  609. trump smoking when it
  610. comes to those risks.
  611.  
  612. 116
  613. 00:06:55,791 --> 00:06:58,710
  614. If I could deliver
  615. one message
  616. to the researchers
  617.  
  618. 117
  619. 00:06:58,752 --> 00:07:03,257
  620. who are looking for
  621. the cause of diabetes, and
  622. the cause of clogged arteries
  623.  
  624. 118
  625. 00:07:03,299 --> 00:07:06,302
  626. and the cause
  627. of high blood pressure
  628. and the cause of obesity,
  629.  
  630. 119
  631. 00:07:06,344 --> 00:07:08,762
  632. I would tell them the
  633. answers in three words:
  634.  
  635. 120
  636. 00:07:08,804 --> 00:07:09,930
  637. It's the food!
  638.  
  639. 121
  640. 00:07:09,972 --> 00:07:12,308
  641. It's what
  642. the Americans are eating.
  643.  
  644. 122
  645. 00:07:12,350 --> 00:07:15,144
  646. [Kip] Today, with 2/3 of
  647. Americans being overweight,
  648.  
  649. 123
  650. 00:07:15,186 --> 00:07:17,437
  651. clearly there's a food issue.
  652.  
  653. 124
  654. 00:07:17,479 --> 00:07:22,693
  655. In the next 25 years,
  656. one out of every three
  657. Americans will have diabetes.
  658.  
  659. 125
  660. 00:07:22,734 --> 00:07:26,488
  661. My name's Michael Abdalla.
  662. I'm from Atlanta, Georgia.
  663.  
  664. 126
  665. 00:07:26,530 --> 00:07:31,035
  666. And unfortunately, I was
  667. diagnosed about 10 years
  668. ago with diabetes.
  669.  
  670. 127
  671. 00:07:31,076 --> 00:07:34,496
  672. And eight years ago
  673. I had two stents put in.
  674.  
  675. 128
  676. 00:07:34,538 --> 00:07:37,375
  677. I don't know where to go,
  678. I don't know what to do,
  679. you are just like
  680.  
  681. 129
  682. 00:07:37,416 --> 00:07:39,459
  683. out of options
  684. and you don't
  685. know what to do.
  686.  
  687. 130
  688. 00:07:39,501 --> 00:07:41,628
  689. You're taking medicines.
  690. You listen to this doctor.
  691.  
  692. 131
  693. 00:07:41,670 --> 00:07:43,964
  694. And the cardiologist
  695. says take this.
  696.  
  697. 132
  698. 00:07:44,006 --> 00:07:47,218
  699. And the endocrinologist
  700. says take that.
  701.  
  702. 133
  703. 00:07:47,259 --> 00:07:49,428
  704. And your general practitioner
  705. doctor says...
  706.  
  707. 134
  708. 00:07:49,469 --> 00:07:51,138
  709. You don't know
  710. what's going on here.
  711.  
  712. 135
  713. 00:07:51,180 --> 00:07:56,810
  714. It's a real challenging thing
  715. and it is something that
  716.  
  717. 136
  718. 00:07:56,852 --> 00:07:59,688
  719. you don't wanna get.
  720. You just don't wanna get it.
  721.  
  722. 137
  723. 00:07:59,730 --> 00:08:02,149
  724. [Kip] Government and media
  725. almost exclusively blame
  726.  
  727. 138
  728. 00:08:02,191 --> 00:08:05,777
  729. lack of exercise
  730. and sugary foods
  731. as a cause of diabetes.
  732.  
  733. 139
  734. 00:08:05,819 --> 00:08:09,489
  735. But, I wanted to talk with
  736. an actual expert on the role
  737. of diet and diabetes.
  738.  
  739. 140
  740. 00:08:09,531 --> 00:08:12,284
  741. I went to speak
  742. with premier physician,
  743. diabetes expert
  744.  
  745. 141
  746. 00:08:12,326 --> 00:08:14,412
  747. and researcher,
  748. Dr. Neal Barnard.
  749.  
  750. 142
  751. 00:08:14,453 --> 00:08:17,373
  752. [Kip] What role does sugar
  753. play in causing diabetes?
  754.  
  755. 143
  756. 00:08:18,207 --> 00:08:19,458
  757. Driving me crazy.
  758.  
  759. 144
  760. 00:08:19,499 --> 00:08:22,586
  761. Diabetes is not and never
  762. was caused be eating
  763.  
  764. 145
  765. 00:08:22,627 --> 00:08:26,048
  766. a high carbohydrate diet,
  767. and it's not caused
  768. by eating sugar.
  769.  
  770. 146
  771. 00:08:26,090 --> 00:08:28,342
  772. The cause of diabetes is a diet
  773.  
  774. 147
  775. 00:08:28,384 --> 00:08:30,677
  776. that builds up the amount
  777. of fat into the blood.
  778.  
  779. 148
  780. 00:08:30,719 --> 00:08:33,931
  781. I'm talking about
  782. a typical meat-based,
  783. animal-based diet.
  784.  
  785. 149
  786. 00:08:33,972 --> 00:08:36,267
  787. You can look into the muscle
  788. cells of the human body,
  789.  
  790. 150
  791. 00:08:36,308 --> 00:08:39,186
  792. and you find that
  793. they're building up
  794. tiny particles of fat
  795.  
  796. 151
  797. 00:08:39,228 --> 00:08:41,272
  798. that's causing
  799. insulin resistance.
  800.  
  801. 152
  802. 00:08:41,313 --> 00:08:44,442
  803. What that means is,
  804. the sugar that is
  805. naturally from the foods
  806.  
  807. 153
  808. 00:08:44,483 --> 00:08:47,527
  809. that you're eating
  810. can't get into the cells
  811. where it belongs.
  812.  
  813. 154
  814. 00:08:47,569 --> 00:08:50,030
  815. It builds up in the blood,
  816. and that's diabetes.
  817.  
  818. 155
  819. 00:08:50,072 --> 00:08:52,950
  820. [Kip] I have never heard
  821. that meat was associated
  822. with causing diabetes.
  823.  
  824. 156
  825. 00:08:52,991 --> 00:08:55,744
  826. We had always been told
  827. that sugar or obesity
  828. caused it.
  829.  
  830. 157
  831. 00:08:55,786 --> 00:08:57,537
  832. Renowned weight loss
  833. bariatric surgeon
  834.  
  835. 158
  836. 00:08:57,579 --> 00:08:59,331
  837. Dr. Garth Davis,
  838. though, agreed.
  839.  
  840. 159
  841. 00:08:59,373 --> 00:09:01,309
  842. Everyone thinks that
  843. you get diabetic
  844. because of carbs.
  845.  
  846. 160
  847. 00:09:01,333 --> 00:09:04,669
  848. They did a huge study in that
  849. EPIC study 500,000 people,
  850.  
  851. 161
  852. 00:09:04,711 --> 00:09:07,465
  853. carbs consumption
  854. was inversely related
  855. with diabetes.
  856.  
  857. 162
  858. 00:09:07,506 --> 00:09:11,385
  859. In other words, the
  860. more carbs someone ate,
  861. the less diabetes they had.
  862.  
  863. 163
  864. 00:09:11,427 --> 00:09:13,304
  865. But, meat was
  866. strongly correlated.
  867.  
  868. 164
  869. 00:09:13,345 --> 00:09:16,640
  870. Get that aha moment.
  871. The starch is, the carbs
  872. are good for you.
  873.  
  874. 165
  875. 00:09:16,681 --> 00:09:18,183
  876. They're not bad for you.
  877.  
  878. 166
  879. 00:09:18,225 --> 00:09:21,645
  880. This idea that
  881. carbs make you fat
  882. is utterly ridiculous.
  883.  
  884. 167
  885. 00:09:21,686 --> 00:09:24,523
  886. Carbs cannot make you fat
  887. in and of themselves.
  888.  
  889. 168
  890. 00:09:24,606 --> 00:09:27,234
  891. We have storage in our muscles
  892.  
  893. 169
  894. 00:09:27,276 --> 00:09:29,153
  895. and in our liver for
  896. carbs called glycogen.
  897.  
  898. 170
  899. 00:09:29,194 --> 00:09:32,114
  900. So, when we eat carbs,
  901. we either store it
  902. or we burn it.
  903.  
  904. 171
  905. 00:09:32,156 --> 00:09:34,533
  906. Now eat fat, that goes
  907. straight to your fat.
  908.  
  909. 172
  910. 00:09:34,574 --> 00:09:37,411
  911. Your body can't turn
  912. those carbs into fat
  913.  
  914. 173
  915. 00:09:37,453 --> 00:09:39,704
  916. unless you're really
  917. overdoing the calories.
  918.  
  919. 174
  920. 00:09:39,746 --> 00:09:41,290
  921. And obesity,
  922. it's a death sentence.
  923.  
  924. 175
  925. 00:09:41,332 --> 00:09:43,417
  926. You're at much higher
  927. risk of getting cancer,
  928.  
  929. 176
  930. 00:09:43,459 --> 00:09:45,627
  931. you're almost certainly
  932. gonna get diabetes.
  933.  
  934. 177
  935. 00:09:45,669 --> 00:09:47,296
  936. No one wants the fat shame,
  937.  
  938. 178
  939. 00:09:47,338 --> 00:09:48,982
  940. and we all want
  941. everybody to be
  942. comfortable with our bodies,
  943.  
  944. 179
  945. 00:09:49,006 --> 00:09:50,733
  946. but, this movement to be
  947. comfortable with our bodies
  948.  
  949. 180
  950. 00:09:50,757 --> 00:09:52,510
  951. has made us comfortable
  952. with being sick.
  953.  
  954. 181
  955. 00:09:52,551 --> 00:09:53,885
  956. And that's a huge problem.
  957.  
  958. 182
  959. 00:09:53,927 --> 00:09:56,054
  960. I go into the hospital
  961. and I look around me,
  962.  
  963. 183
  964. 00:09:56,096 --> 00:09:58,349
  965. people on dialysis,
  966. all these sick people.
  967.  
  968. 184
  969. 00:09:58,390 --> 00:10:01,352
  970. And just about every
  971. disease in there is because
  972. of what people are eating.
  973.  
  974. 185
  975. 00:10:01,393 --> 00:10:04,813
  976. Here's the thing.
  977. If I eat a sugary cookie,
  978.  
  979. 186
  980. 00:10:04,855 --> 00:10:07,274
  981. the sugar lures you in
  982. like the Trojan horse,
  983.  
  984. 187
  985. 00:10:07,316 --> 00:10:11,362
  986. but waiting inside that
  987. cookie is a huge load of
  988. butter or, shortening.
  989.  
  990. 188
  991. 00:10:11,403 --> 00:10:12,863
  992. And that's what fattens you up.
  993.  
  994. 189
  995. 00:10:12,904 --> 00:10:14,466
  996. And that's the part that
  997. leads to the diabetes,
  998.  
  999. 190
  1000. 00:10:14,490 --> 00:10:16,783
  1001. it's the fatty foods,
  1002. not really so much the sugar.
  1003.  
  1004. 191
  1005. 00:10:16,825 --> 00:10:19,346
  1006. [Davis] It's not that
  1007. sugar's good for you.
  1008. There's no nutrients in it.
  1009.  
  1010. 192
  1011. 00:10:19,370 --> 00:10:21,038
  1012. It's excess calories.
  1013.  
  1014. 193
  1015. 00:10:21,079 --> 00:10:23,541
  1016. But, when you eat sugar,
  1017. you don't get inflammation
  1018. right away.
  1019.  
  1020. 194
  1021. 00:10:23,582 --> 00:10:26,793
  1022. When you eat sugar,
  1023. you're not getting plaques
  1024. forming in your vessels.
  1025.  
  1026. 195
  1027. 00:10:26,835 --> 00:10:28,628
  1028. When you're eating sugar,
  1029.  
  1030. 196
  1031. 00:10:28,670 --> 00:10:32,674
  1032. your body's gonna store
  1033. most of it as glycogen
  1034. or burn it as calories.
  1035.  
  1036. 197
  1037. 00:10:32,716 --> 00:10:38,222
  1038. And so this focus on sugar
  1039. has taken all the focus
  1040. off meat, dairy,
  1041.  
  1042. 198
  1043. 00:10:38,263 --> 00:10:40,516
  1044. eggs, pork, turkey, chicken.
  1045.  
  1046. 199
  1047. 00:10:40,558 --> 00:10:44,478
  1048. People need to understand.
  1049. If they're child gets diabetes,
  1050.  
  1051. 200
  1052. 00:10:44,520 --> 00:10:47,689
  1053. you've just taken 19
  1054. years off their lifespan.
  1055.  
  1056. 201
  1057. 00:10:47,731 --> 00:10:49,858
  1058. We're talking life and death.
  1059.  
  1060. 202
  1061. 00:10:49,900 --> 00:10:51,485
  1062. [Kip] I realized
  1063. there was so much more
  1064.  
  1065. 203
  1066. 00:10:51,527 --> 00:10:53,737
  1067. about diet and disease
  1068. that I hadn't ever learned.
  1069.  
  1070. 204
  1071. 00:10:53,778 --> 00:10:57,032
  1072. It felt as if
  1073. this information had
  1074. been practically withheld.
  1075.  
  1076. 205
  1077. 00:10:57,074 --> 00:11:01,495
  1078. Processed meat causes cancer.
  1079. Sugar doesn't cause diabetes.
  1080.  
  1081. 206
  1082. 00:11:01,537 --> 00:11:03,598
  1083. I had doubt about the claims
  1084. these doctors were making,
  1085.  
  1086. 207
  1087. 00:11:03,622 --> 00:11:05,665
  1088. so I did some searching
  1089. on my own.
  1090.  
  1091. 208
  1092. 00:11:05,707 --> 00:11:07,959
  1093. Harvard researchers looked
  1094. at nine prospective studies
  1095.  
  1096. 209
  1097. 00:11:08,001 --> 00:11:10,588
  1098. finding that just
  1099. one serving of
  1100. processed meat per day
  1101.  
  1102. 210
  1103. 00:11:10,629 --> 00:11:14,674
  1104. increased risk of developing
  1105. diabetes by 51 percent.
  1106.  
  1107. 211
  1108. 00:11:14,716 --> 00:11:18,887
  1109. The link between eating
  1110. meat and developing
  1111. diabetes became undeniable.
  1112.  
  1113. 212
  1114. 00:11:18,929 --> 00:11:21,890
  1115. But, when I went
  1116. on a leading diabetes
  1117. organization's website,
  1118.  
  1119. 213
  1120. 00:11:21,932 --> 00:11:23,767
  1121. the American Diabetes
  1122. Association,
  1123.  
  1124. 214
  1125. 00:11:23,808 --> 00:11:26,853
  1126. not only did they not
  1127. have this information
  1128. front and center,
  1129.  
  1130. 215
  1131. 00:11:26,895 --> 00:11:30,441
  1132. they were featuring recipes
  1133. for red and processed meat.
  1134.  
  1135. 216
  1136. 00:11:30,482 --> 00:11:35,237
  1137. And on their recipes for
  1138. healthy living, they had
  1139. bacon-wrapped shrimp.
  1140.  
  1141. 217
  1142. 00:11:35,279 --> 00:11:37,072
  1143. What the health?
  1144.  
  1145. 218
  1146. 00:11:37,114 --> 00:11:39,408
  1147. All right, sent an email to
  1148. American Diabetes Association,
  1149.  
  1150. 219
  1151. 00:11:39,450 --> 00:11:41,410
  1152. see if they'll get back to us.
  1153.  
  1154. 220
  1155. 00:11:41,452 --> 00:11:45,456
  1156. As destructive as diabetes
  1157. is, it pales in comparison
  1158. to heart disease.
  1159.  
  1160. 221
  1161. 00:11:45,497 --> 00:11:49,960
  1162. Over 17 million people die
  1163. every year from
  1164. cardiovascular disease.
  1165.  
  1166. 222
  1167. 00:11:50,001 --> 00:11:52,754
  1168. It is the leading cause
  1169. of death around the world.
  1170.  
  1171. 223
  1172. 00:11:52,796 --> 00:11:56,925
  1173. Nearly one out of
  1174. every three people
  1175. will die from this disease.
  1176.  
  1177. 224
  1178. 00:11:56,967 --> 00:11:59,719
  1179. The amount of people who die
  1180. from cardiovascular disease
  1181.  
  1182. 225
  1183. 00:11:59,761 --> 00:12:02,847
  1184. is the equivalent of
  1185. four jumbo jets crashing
  1186.  
  1187. 226
  1188. 00:12:02,889 --> 00:12:07,519
  1189. every single hour,
  1190. every single day,
  1191. every single year.
  1192.  
  1193. 227
  1194. 00:12:11,815 --> 00:12:15,235
  1195. My name's Amy Resnic,
  1196. and I'm from
  1197. Swampscott, Massachusetts,
  1198.  
  1199. 228
  1200. 00:12:15,277 --> 00:12:17,070
  1201. a little bit north of Boston.
  1202.  
  1203. 229
  1204. 00:12:17,112 --> 00:12:20,824
  1205. And I recently went to
  1206. my doctor for asthma
  1207.  
  1208. 230
  1209. 00:12:20,865 --> 00:12:23,118
  1210. because I had a very
  1211. hard time breathing.
  1212.  
  1213. 231
  1214. 00:12:23,160 --> 00:12:26,121
  1215. And while there,
  1216. she did some blood work.
  1217.  
  1218. 232
  1219. 00:12:26,163 --> 00:12:31,669
  1220. And one of the tests
  1221. was C-reactive protein,
  1222.  
  1223. 233
  1224. 00:12:31,710 --> 00:12:34,963
  1225. there was a scale
  1226. of one to three,
  1227.  
  1228. 234
  1229. 00:12:35,005 --> 00:12:37,174
  1230. one being low for cardiac event,
  1231.  
  1232. 235
  1233. 00:12:37,215 --> 00:12:39,259
  1234. three being high
  1235. for cardiac event.
  1236.  
  1237. 236
  1238. 00:12:39,301 --> 00:12:42,304
  1239. And my number was 10.82.
  1240.  
  1241. 237
  1242. 00:12:42,346 --> 00:12:43,639
  1243. What does that mean?
  1244.  
  1245. 238
  1246. 00:12:43,681 --> 00:12:46,141
  1247. That means I am on the
  1248. road for heart attack.
  1249.  
  1250. 239
  1251. 00:12:46,183 --> 00:12:49,728
  1252. And she said probably
  1253. within the next 30 days.
  1254.  
  1255. 240
  1256. 00:12:49,769 --> 00:12:51,271
  1257. - 30 days?
  1258. - 30 days.
  1259.  
  1260. 241
  1261. 00:12:51,313 --> 00:12:53,231
  1262. If I'm going
  1263. the way I was going.
  1264.  
  1265. 242
  1266. 00:12:53,273 --> 00:12:57,736
  1267. I take this for
  1268. my heart arrhythmia.
  1269.  
  1270. 243
  1271. 00:12:57,777 --> 00:12:59,530
  1272. I take this for pain.
  1273.  
  1274. 244
  1275. 00:13:00,531 --> 00:13:02,658
  1276. Oxycodone for pain.
  1277.  
  1278. 245
  1279. 00:13:02,700 --> 00:13:05,827
  1280. And lorazepam for stress.
  1281.  
  1282. 246
  1283. 00:13:05,869 --> 00:13:08,706
  1284. Cyclobenzaprine for
  1285. a muscle relaxer.
  1286.  
  1287. 247
  1288. 00:13:08,747 --> 00:13:11,416
  1289. Also take Topamax and Prozac.
  1290.  
  1291. 248
  1292. 00:13:11,458 --> 00:13:15,045
  1293. And I also use
  1294. a CPAP machine
  1295. to help me breathe.
  1296.  
  1297. 249
  1298. 00:13:15,086 --> 00:13:19,174
  1299. And my asthma has been
  1300. so bad this past year.
  1301.  
  1302. 250
  1303. 00:13:19,216 --> 00:13:23,053
  1304. I use it during the day
  1305. as well to get some air.
  1306.  
  1307. 251
  1308. 00:13:23,094 --> 00:13:25,805
  1309. I am tired when I wake up,
  1310.  
  1311. 252
  1312. 00:13:25,847 --> 00:13:29,017
  1313. I'm tired during the day.
  1314. I take a nap, I'm still tired.
  1315.  
  1316. 253
  1317. 00:13:29,059 --> 00:13:31,603
  1318. I can't breathe.
  1319.  
  1320. 254
  1321. 00:13:31,645 --> 00:13:37,275
  1322. And I know I need to make
  1323. a change for my health.
  1324.  
  1325. 255
  1326. 00:13:37,317 --> 00:13:40,404
  1327. Or, else I'm not gonna
  1328. be here for my family.
  1329.  
  1330. 256
  1331. 00:13:41,572 --> 00:13:42,822
  1332. When we speak of heart disease,
  1333.  
  1334. 257
  1335. 00:13:42,864 --> 00:13:45,743
  1336. I would say the role of
  1337. alcohol is pretty small.
  1338.  
  1339. 258
  1340. 00:13:45,784 --> 00:13:49,954
  1341. The role of sugar
  1342. is very small, too.
  1343. Smoking is big,
  1344.  
  1345. 259
  1346. 00:13:49,996 --> 00:13:53,208
  1347. but, the good news is
  1348. that most people have quit
  1349. or never did smoke.
  1350.  
  1351. 260
  1352. 00:13:53,250 --> 00:13:57,128
  1353. The problem with animal-based
  1354. diet, its contribution to
  1355. heart disease is huge,
  1356.  
  1357. 261
  1358. 00:13:57,170 --> 00:13:58,422
  1359. and it is pervasive.
  1360.  
  1361. 262
  1362. 00:13:58,463 --> 00:14:00,257
  1363. All this expensive imaging,
  1364.  
  1365. 263
  1366. 00:14:01,800 --> 00:14:06,722
  1367. procedures, bypasses,
  1368. medication.
  1369.  
  1370. 264
  1371. 00:14:06,764 --> 00:14:10,850
  1372. None of which has one
  1373. solitary single thing to do
  1374.  
  1375. 265
  1376. 00:14:11,893 --> 00:14:13,437
  1377. with the causation
  1378. of the illness,
  1379.  
  1380. 266
  1381. 00:14:13,478 --> 00:14:15,397
  1382. so you dive a completely benign,
  1383.  
  1384. 267
  1385. 00:14:15,439 --> 00:14:18,567
  1386. food borne illness
  1387. that never had
  1388. its causation treated.
  1389.  
  1390. 268
  1391. 00:14:18,609 --> 00:14:22,195
  1392. When we eat these kind of
  1393. dead meat bacteria toxins,
  1394.  
  1395. 269
  1396. 00:14:22,237 --> 00:14:25,574
  1397. within minutes, you get
  1398. this burst of inflammation
  1399.  
  1400. 270
  1401. 00:14:25,616 --> 00:14:28,619
  1402. within your system,
  1403. such that you basically
  1404. paralyze your arteries,
  1405.  
  1406. 271
  1407. 00:14:28,660 --> 00:14:32,997
  1408. you get this stiffening of
  1409. the arteries, their inability
  1410. to relax normally in half.
  1411.  
  1412. 272
  1413. 00:14:33,039 --> 00:14:37,001
  1414. So, it's not like decades down
  1415. the road eating unhealthy
  1416. there'll be some damage.
  1417.  
  1418. 273
  1419. 00:14:37,043 --> 00:14:39,045
  1420. No, we're talking damage
  1421. right then and there,
  1422.  
  1423. 274
  1424. 00:14:39,087 --> 00:14:41,005
  1425. within minutes of it
  1426. going into our mouth.
  1427.  
  1428. 275
  1429. 00:14:41,047 --> 00:14:45,051
  1430. Many people are given
  1431. the diagnosis of
  1432.  
  1433. 276
  1434. 00:14:45,093 --> 00:14:48,012
  1435. Alzheimer's disease,
  1436. when it's not true
  1437. Alzheimer's at all.
  1438.  
  1439. 277
  1440. 00:14:48,054 --> 00:14:50,599
  1441. The vast majority of
  1442. people suffer dementia
  1443.  
  1444. 278
  1445. 00:14:50,641 --> 00:14:53,685
  1446. due to their
  1447. tiny blood vessels
  1448. in their brain clogging up
  1449.  
  1450. 279
  1451. 00:14:53,727 --> 00:14:57,355
  1452. and their nerve cells
  1453. being shortchanged of
  1454. oxygenated blood.
  1455.  
  1456. 280
  1457. 00:14:57,397 --> 00:14:59,858
  1458. And guess where that blood
  1459. vessel dementia comes from,
  1460.  
  1461. 281
  1462. 00:14:59,899 --> 00:15:01,777
  1463. those little tiny
  1464. arteries are clogging up
  1465.  
  1466. 282
  1467. 00:15:01,819 --> 00:15:04,404
  1468. from that steady
  1469. stream of bad
  1470. cholesterol, et cetera.
  1471.  
  1472. 283
  1473. 00:15:04,446 --> 00:15:06,156
  1474. It's really quite clear.
  1475.  
  1476. 284
  1477. 00:15:06,197 --> 00:15:07,616
  1478. Both from
  1479. the standpoint of cancer
  1480.  
  1481. 285
  1482. 00:15:07,658 --> 00:15:09,493
  1483. and the standpoint of
  1484. cardiovascular disease
  1485.  
  1486. 286
  1487. 00:15:09,534 --> 00:15:12,412
  1488. that animal protein
  1489. plays an enormous role.
  1490.  
  1491. 287
  1492. 00:15:12,454 --> 00:15:14,832
  1493. [Kip]
  1494. Is chicken better?
  1495.  
  1496. 288
  1497. 00:15:14,873 --> 00:15:17,125
  1498. It's a question of whether
  1499. you wanna be shot or, hung.
  1500.  
  1501. 289
  1502. 00:15:17,167 --> 00:15:21,421
  1503. The flesh food that I would
  1504. eliminate from the American
  1505. diet would be poultry,
  1506.  
  1507. 290
  1508. 00:15:21,463 --> 00:15:23,298
  1509. would be turkey and chicken.
  1510.  
  1511. 291
  1512. 00:15:23,340 --> 00:15:26,134
  1513. A brilliant advertising
  1514. campaign has convinced people
  1515.  
  1516. 292
  1517. 00:15:26,176 --> 00:15:28,136
  1518. that oh, it's white meat,
  1519. it's healthier.
  1520.  
  1521. 293
  1522. 00:15:28,178 --> 00:15:30,972
  1523. The leading source of Sodium,
  1524.  
  1525. 294
  1526. 00:15:31,014 --> 00:15:34,225
  1527. in the American diet
  1528. for adults is chicken.
  1529.  
  1530. 295
  1531. 00:15:34,267 --> 00:15:37,937
  1532. It can be labeled all natural
  1533. chicken but, be injected
  1534. with salt water.
  1535.  
  1536. 296
  1537. 00:15:37,979 --> 00:15:39,731
  1538. I think up to
  1539. 800 milligrams of sodium.
  1540.  
  1541. 297
  1542. 00:15:39,773 --> 00:15:42,442
  1543. Heterocyclic amines are
  1544. clear-cut carcinogens,
  1545.  
  1546. 298
  1547. 00:15:42,484 --> 00:15:46,655
  1548. and they can form in any
  1549. kind of meat as it's heated,
  1550. as it's cooked.
  1551.  
  1552. 299
  1553. 00:15:46,697 --> 00:15:49,700
  1554. But, by far, the
  1555. biggest source is chicken.
  1556.  
  1557. 300
  1558. 00:15:49,741 --> 00:15:53,871
  1559. We sent researchers
  1560. into fast food
  1561. and family restaurants.
  1562.  
  1563. 301
  1564. 00:15:53,912 --> 00:15:56,998
  1565. Not only were
  1566. there carcinogens in
  1567. every single restaurant,
  1568.  
  1569. 302
  1570. 00:15:57,040 --> 00:16:00,502
  1571. but, we found them in every
  1572. single chicken sample
  1573. that we took.
  1574.  
  1575. 303
  1576. 00:16:00,544 --> 00:16:04,088
  1577. If somebody brings their
  1578. family in, and they're
  1579. buying a bucket of chicken,
  1580.  
  1581. 304
  1582. 00:16:04,130 --> 00:16:06,090
  1583. nobody tells them that
  1584. there are carcinogens.
  1585.  
  1586. 305
  1587. 00:16:06,132 --> 00:16:08,593
  1588. If you're selling
  1589. carcinogens to people,
  1590.  
  1591. 306
  1592. 00:16:08,635 --> 00:16:10,637
  1593. you've gotta warn them
  1594. that they're in there.
  1595.  
  1596. 307
  1597. 00:16:10,679 --> 00:16:12,740
  1598. [Kip] But the American Cancer
  1599. Society encourages people
  1600.  
  1601. 308
  1602. 00:16:12,764 --> 00:16:15,308
  1603. to switch from red
  1604. and processed meat
  1605. to chicken.
  1606.  
  1607. 309
  1608. 00:16:15,350 --> 00:16:16,935
  1609. Why would the American
  1610. Cancer Society
  1611.  
  1612. 310
  1613. 00:16:16,976 --> 00:16:19,437
  1614. tell people to switch from
  1615. eating one carcinogenic food
  1616.  
  1617. 311
  1618. 00:16:19,479 --> 00:16:21,940
  1619. to another when a Harvard
  1620. University study showed
  1621.  
  1622. 312
  1623. 00:16:22,023 --> 00:16:24,776
  1624. that men with prostate
  1625. cancer who eat large
  1626. amounts of chicken,
  1627.  
  1628. 313
  1629. 00:16:24,818 --> 00:16:28,029
  1630. increase their risk
  1631. of the disease
  1632. progressing four times.
  1633.  
  1634. 314
  1635. 00:16:28,071 --> 00:16:30,281
  1636. The number one dietary
  1637. source in America
  1638.  
  1639. 315
  1640. 00:16:30,323 --> 00:16:33,034
  1641. of cholesterol is chicken
  1642. because of the
  1643. volume of chicken.
  1644.  
  1645. 316
  1646. 00:16:33,076 --> 00:16:36,037
  1647. Chicken's become
  1648. grilled chicken
  1649. and organic chicken.
  1650.  
  1651. 317
  1652. 00:16:36,079 --> 00:16:37,789
  1653. It's machismo.
  1654.  
  1655. 318
  1656. 00:16:37,831 --> 00:16:41,459
  1657. But it has nearly as
  1658. much cholesterol per gram
  1659. as red beef.
  1660.  
  1661. 319
  1662. 00:16:41,501 --> 00:16:43,879
  1663. So, just on sheer volume,
  1664. it's the number one source.
  1665.  
  1666. 320
  1667. 00:16:43,921 --> 00:16:45,547
  1668. You got eggs being close behind.
  1669.  
  1670. 321
  1671. 00:16:45,589 --> 00:16:47,274
  1672. [Kip] I never really
  1673. thought about eggs much.
  1674.  
  1675. 322
  1676. 00:16:47,298 --> 00:16:50,301
  1677. I just thought of them
  1678. as a standard part
  1679. of a healthy diet.
  1680.  
  1681. 323
  1682. 00:16:50,343 --> 00:16:53,764
  1683. But, then I found a study
  1684. suggesting that eating just
  1685. one egg a day
  1686.  
  1687. 324
  1688. 00:16:53,805 --> 00:16:58,059
  1689. can be as bad as smoking
  1690. five cigarettes per day
  1691. for life expectancy.
  1692.  
  1693. 325
  1694. 00:16:58,101 --> 00:17:02,021
  1695. Yolk of a hen's egg is
  1696. the most concentrated glom
  1697.  
  1698. 326
  1699. 00:17:02,063 --> 00:17:04,232
  1700. of saturated fat
  1701. and cholesterol.
  1702.  
  1703. 327
  1704. 00:17:04,274 --> 00:17:08,445
  1705. It is made to run
  1706. a baby chicken for 21 days
  1707. with no outside energy.
  1708.  
  1709. 328
  1710. 00:17:08,486 --> 00:17:10,447
  1711. It is pure fat and cholesterol.
  1712.  
  1713. 329
  1714. 00:17:10,488 --> 00:17:14,367
  1715. And when we put that
  1716. into our bloodstream,
  1717. it coats our red blood cells.
  1718.  
  1719. 330
  1720. 00:17:14,409 --> 00:17:18,162
  1721. Our blood gets thicker and
  1722. more viscous. It changes
  1723. our hormone levels.
  1724.  
  1725. 331
  1726. 00:17:18,204 --> 00:17:19,915
  1727. It raises
  1728. our cholesterol levels.
  1729.  
  1730. 332
  1731. 00:17:19,957 --> 00:17:22,751
  1732. There's nothing healthy
  1733. about eating
  1734. the yolk of the egg.
  1735.  
  1736. 333
  1737. 00:17:22,793 --> 00:17:26,421
  1738. [Kip] But I thought
  1739. cholesterol and saturated fat
  1740. wasn't an issue anymore.
  1741.  
  1742. 334
  1743. 00:17:26,463 --> 00:17:28,673
  1744. All these saturated fat
  1745. studies that have come out,
  1746.  
  1747. 335
  1748. 00:17:28,715 --> 00:17:32,010
  1749. trying to vindicate
  1750. saturated fat is a campaign
  1751. by the dairy industry,
  1752.  
  1753. 336
  1754. 00:17:32,051 --> 00:17:35,597
  1755. wherein the number one
  1756. source of saturated fat
  1757. is dairy, it's not meat.
  1758.  
  1759. 337
  1760. 00:17:35,639 --> 00:17:38,475
  1761. 2008,
  1762. the global dairy industry
  1763. got together at a meeting
  1764.  
  1765. 338
  1766. 00:17:38,516 --> 00:17:40,727
  1767. and explicitly
  1768. read their agenda,
  1769.  
  1770. 339
  1771. 00:17:40,769 --> 00:17:43,981
  1772. was to neutralize the
  1773. negative impact of milk fat
  1774.  
  1775. 340
  1776. 00:17:44,022 --> 00:17:46,775
  1777. by regulators and medical
  1778. professionals unquote,
  1779.  
  1780. 341
  1781. 00:17:46,817 --> 00:17:48,735
  1782. so what do they do,
  1783. they funded studies.
  1784.  
  1785. 342
  1786. 00:17:48,777 --> 00:17:51,780
  1787. [Kip] The main study
  1788. that started the whole
  1789. saturated fat media craze
  1790.  
  1791. 343
  1792. 00:17:51,822 --> 00:17:54,407
  1793. was funded by
  1794. the National Dairy Council.
  1795.  
  1796. 344
  1797. 00:17:54,449 --> 00:17:56,159
  1798. The egg industry
  1799. similarly funds studies
  1800.  
  1801. 345
  1802. 00:17:56,200 --> 00:17:58,787
  1803. that confuse consumers
  1804. by making claims
  1805. that eggs don't
  1806.  
  1807. 346
  1808. 00:17:58,829 --> 00:18:02,958
  1809. negatively affect heart
  1810. function. That is, only
  1811. when compared to eating
  1812.  
  1813. 347
  1814. 00:18:03,000 --> 00:18:05,126
  1815. a McDonald's Sausage McMuffin?
  1816.  
  1817. 348
  1818. 00:18:05,168 --> 00:18:06,520
  1819. So, what they're really
  1820. saying is that
  1821.  
  1822. 349
  1823. 00:18:06,544 --> 00:18:09,547
  1824. eating eggs is just as
  1825. bad as eating a McMuffin.
  1826.  
  1827. 350
  1828. 00:18:09,589 --> 00:18:11,090
  1829. When you eat foods,
  1830.  
  1831. 351
  1832. 00:18:11,132 --> 00:18:13,885
  1833. like a beef or, steak or,
  1834. a processed meat, a hotdog,
  1835.  
  1836. 352
  1837. 00:18:13,927 --> 00:18:15,804
  1838. you're not just
  1839. getting saturated fat.
  1840.  
  1841. 353
  1842. 00:18:15,846 --> 00:18:19,140
  1843. You're also getting other
  1844. additional toxins that
  1845. are in that food.
  1846.  
  1847. 354
  1848. 00:18:19,182 --> 00:18:20,642
  1849. There's heme iron, carcinogens,
  1850.  
  1851. 355
  1852. 00:18:20,684 --> 00:18:23,937
  1853. processing chemicals,
  1854. this all a lot
  1855. more complicated
  1856.  
  1857. 356
  1858. 00:18:23,979 --> 00:18:25,605
  1859. than just looking
  1860. at saturated fat.
  1861.  
  1862. 357
  1863. 00:18:25,647 --> 00:18:29,818
  1864. The strategy is not on making
  1865. their products any safer.
  1866.  
  1867. 358
  1868. 00:18:29,860 --> 00:18:34,447
  1869. The strategy is to just
  1870. try to confuse the public,
  1871. to introduce doubt.
  1872.  
  1873. 359
  1874. 00:18:34,489 --> 00:18:38,451
  1875. There's a famous tobacco
  1876. industry memo. It's called
  1877. doubt is our product.
  1878.  
  1879. 360
  1880. 00:18:38,493 --> 00:18:40,370
  1881. That's all they had to do.
  1882.  
  1883. 361
  1884. 00:18:40,411 --> 00:18:43,874
  1885. They didn't have to
  1886. convince Americans that
  1887. smoking was healthy.
  1888.  
  1889. 362
  1890. 00:18:43,915 --> 00:18:47,377
  1891. They just had
  1892. to introduce doubt.
  1893. Then they would win.
  1894.  
  1895. 363
  1896. 00:18:47,418 --> 00:18:49,253
  1897. If there's just
  1898. enough controversy,
  1899.  
  1900. 364
  1901. 00:18:49,295 --> 00:18:51,565
  1902. people kind of throw up
  1903. their hands, "I don't know
  1904. what to eat."
  1905.  
  1906. 365
  1907. 00:18:51,589 --> 00:18:54,634
  1908. Confusion is their game.
  1909.  
  1910. 366
  1911. 00:18:54,676 --> 00:18:58,096
  1912. I really don't think people
  1913. thought what they ate
  1914. led to heart disease.
  1915.  
  1916. 367
  1917. 00:18:58,137 --> 00:19:00,098
  1918. They think,
  1919. "Oh, it's genetic,
  1920. my parents had it."
  1921.  
  1922. 368
  1923. 00:19:00,139 --> 00:19:03,309
  1924. I don't think people really
  1925. think that what they ate
  1926. led to diabetes,
  1927.  
  1928. 369
  1929. 00:19:03,351 --> 00:19:05,478
  1930. I think,
  1931. "Oh, my parents had it,
  1932. I was gonna get it,"
  1933.  
  1934. 370
  1935. 00:19:05,520 --> 00:19:07,480
  1936. and certainly cancer,
  1937. they don't think that way.
  1938.  
  1939. 371
  1940. 00:19:07,522 --> 00:19:10,483
  1941. People have bad lifestyles
  1942. that they've inherited.
  1943.  
  1944. 372
  1945. 00:19:10,525 --> 00:19:12,628
  1946. Environmentally, they've
  1947. been exposed to a certain way
  1948.  
  1949. 373
  1950. 00:19:12,652 --> 00:19:14,863
  1951. of eating and living
  1952. that they've carried on
  1953.  
  1954. 374
  1955. 00:19:14,905 --> 00:19:16,948
  1956. into their adulthood,
  1957. passed onto their children,
  1958.  
  1959. 375
  1960. 00:19:16,990 --> 00:19:20,911
  1961. that is why they go on to
  1962. develop the same diseases
  1963.  
  1964. 376
  1965. 00:19:20,952 --> 00:19:23,580
  1966. that their parents and
  1967. grandparents may have had
  1968. before them.
  1969.  
  1970. 377
  1971. 00:19:23,621 --> 00:19:25,373
  1972. But it is not inevitable.
  1973.  
  1974. 378
  1975. 00:19:25,415 --> 00:19:27,458
  1976. Even if you have
  1977. a genetic predisposition,
  1978.  
  1979. 379
  1980. 00:19:27,500 --> 00:19:29,669
  1981. doesn't mean it's going
  1982. to necessarily manifest.
  1983.  
  1984. 380
  1985. 00:19:29,711 --> 00:19:31,629
  1986. And what determines
  1987. whether it manifests or not
  1988.  
  1989. 381
  1990. 00:19:31,671 --> 00:19:34,674
  1991. may be those epigenetic
  1992. variables, the things
  1993. that you can control.
  1994.  
  1995. 382
  1996. 00:19:34,716 --> 00:19:37,844
  1997. The environmental factors,
  1998. the dietary factors,
  1999. the lifestyle factors.
  2000.  
  2001. 383
  2002. 00:19:37,886 --> 00:19:40,764
  2003. So, we can actually change
  2004. the expression of genes,
  2005.  
  2006. 384
  2007. 00:19:40,805 --> 00:19:43,100
  2008. tumor suppressing genes,
  2009. tumor activating genes
  2010.  
  2011. 385
  2012. 00:19:43,141 --> 00:19:46,103
  2013. by what we eat, what
  2014. we put into our bodies.
  2015.  
  2016. 386
  2017. 00:19:46,144 --> 00:19:50,481
  2018. So, even if you've been
  2019. dealt a bad genetic deck,
  2020.  
  2021. 387
  2022. 00:19:50,523 --> 00:19:53,401
  2023. you can still
  2024. reshuffle it with diet.
  2025.  
  2026. 388
  2027. 00:19:53,443 --> 00:19:56,130
  2028. [Kip] I had always thought
  2029. that I would develop
  2030. heart disease at a young age
  2031.  
  2032. 389
  2033. 00:19:56,154 --> 00:19:58,573
  2034. because both my dad and
  2035. grandpa had heart attacks.
  2036.  
  2037. 390
  2038. 00:19:58,615 --> 00:20:00,283
  2039. I was taught
  2040. that they were genetic.
  2041.  
  2042. 391
  2043. 00:20:00,324 --> 00:20:02,660
  2044. But the heart attacks probably
  2045. had less to do with genes
  2046.  
  2047. 392
  2048. 00:20:02,702 --> 00:20:04,913
  2049. and more to do with
  2050. our diets high in meat.
  2051.  
  2052. 393
  2053. 00:20:04,955 --> 00:20:07,498
  2054. That's why when I went on the
  2055. American Heart Association's
  2056.  
  2057. 394
  2058. 00:20:07,540 --> 00:20:09,333
  2059. Heart-Healthy Recipes page,
  2060.  
  2061. 395
  2062. 00:20:09,375 --> 00:20:13,755
  2063. I could not believe
  2064. they had an entire section
  2065. on beef recipes?
  2066.  
  2067. 396
  2068. 00:20:13,797 --> 00:20:15,715
  2069. This was just like the
  2070. American Cancer Society
  2071.  
  2072. 397
  2073. 00:20:15,757 --> 00:20:18,969
  2074. encouraging eating
  2075. Group One carcinogens
  2076. on their site.
  2077.  
  2078. 398
  2079. 00:20:19,010 --> 00:20:22,931
  2080. Meat loaf, pork loin, steak
  2081.  
  2082. 399
  2083. 00:20:22,973 --> 00:20:25,516
  2084. on your recipe list,
  2085. are you kidding me?
  2086.  
  2087. 400
  2088. 00:20:25,558 --> 00:20:28,227
  2089. It's like this menu
  2090. is trying to give
  2091. people heart attacks.
  2092.  
  2093. 401
  2094. 00:20:28,269 --> 00:20:31,064
  2095. On your website, we noticed
  2096. Heart-Healthy Recipes
  2097.  
  2098. 402
  2099. 00:20:31,106 --> 00:20:34,818
  2100. and we were kind of
  2101. bewildered by why
  2102.  
  2103. 403
  2104. 00:20:34,859 --> 00:20:39,864
  2105. there was a bunch of
  2106. recipes on, a whole section
  2107. on beef, beef recipes.
  2108.  
  2109. 404
  2110. 00:20:39,906 --> 00:20:41,950
  2111. And there was also
  2112. a section on egg recipes
  2113.  
  2114. 405
  2115. 00:20:41,992 --> 00:20:46,412
  2116. when there's such a strong link
  2117. between beef, red meat
  2118. and heart disease.
  2119.  
  2120. 406
  2121. 00:20:49,166 --> 00:20:52,251
  2122. I honestly don't know
  2123. 'cause I don't do that,
  2124. I guess.
  2125.  
  2126. 407
  2127. 00:20:52,293 --> 00:20:54,129
  2128. That's not what what I do.
  2129.  
  2130. 408
  2131. 00:20:54,171 --> 00:20:57,340
  2132. Another organization rep
  2133. that wasn't able
  2134. to answer my questions.
  2135.  
  2136. 409
  2137. 00:20:57,381 --> 00:21:00,135
  2138. But, he said that
  2139. he'd have someone
  2140. get in touch shortly.
  2141.  
  2142. 410
  2143. 00:21:00,177 --> 00:21:02,345
  2144. I was, however, able to
  2145. talk to the president
  2146.  
  2147. 411
  2148. 00:21:02,386 --> 00:21:05,932
  2149. of the American
  2150. College of Cardiology,
  2151. Dr. Kim Williams.
  2152.  
  2153. 412
  2154. 00:21:05,974 --> 00:21:08,267
  2155. So, the American
  2156. College of Cardiology
  2157.  
  2158. 413
  2159. 00:21:08,309 --> 00:21:12,022
  2160. is a 47,000-member
  2161. and growing organization
  2162.  
  2163. 414
  2164. 00:21:12,063 --> 00:21:15,066
  2165. with a dedicated mission
  2166. to reduce heart disease
  2167.  
  2168. 415
  2169. 00:21:15,108 --> 00:21:16,860
  2170. and to improve patients' lives.
  2171.  
  2172. 416
  2173. 00:21:16,901 --> 00:21:20,530
  2174. And if you look
  2175. at the incidents
  2176. of hypertension and diabetes
  2177.  
  2178. 417
  2179. 00:21:20,571 --> 00:21:25,451
  2180. and mortality in men,
  2181. they actually get reduced
  2182. as you go higher
  2183.  
  2184. 418
  2185. 00:21:25,493 --> 00:21:28,579
  2186. and higher in terms
  2187. of how much you
  2188. restrict animal products.
  2189.  
  2190. 419
  2191. 00:21:28,621 --> 00:21:29,873
  2192. What about fish?
  2193.  
  2194. 420
  2195. 00:21:29,914 --> 00:21:31,624
  2196. So, fish is a little different.
  2197.  
  2198. 421
  2199. 00:21:31,666 --> 00:21:36,713
  2200. You've got the four worries,
  2201. which is PCBs, mercury,
  2202.  
  2203. 422
  2204. 00:21:38,048 --> 00:21:41,009
  2205. saturated fat and cholesterol.
  2206.  
  2207. 423
  2208. 00:21:41,051 --> 00:21:43,887
  2209. And the cholesterol
  2210. is all over the place.
  2211.  
  2212. 424
  2213. 00:21:43,928 --> 00:21:45,763
  2214. You can have tuna in water
  2215.  
  2216. 425
  2217. 00:21:45,805 --> 00:21:49,267
  2218. that'll be almost less
  2219. than a glass of milk,
  2220.  
  2221. 426
  2222. 00:21:49,308 --> 00:21:51,769
  2223. to salmon or, tilapia
  2224.  
  2225. 427
  2226. 00:21:51,811 --> 00:21:53,730
  2227. which is higher
  2228. than a pork chop.
  2229.  
  2230. 428
  2231. 00:21:53,771 --> 00:21:55,732
  2232. [Goldhamer] If you look
  2233. objectively at fish,
  2234.  
  2235. 429
  2236. 00:21:55,773 --> 00:21:59,027
  2237. what you find is
  2238. they've become, essentially,
  2239. mercury sponges.
  2240.  
  2241. 430
  2242. 00:21:59,069 --> 00:22:01,005
  2243. And that's why in many
  2244. parts of the country
  2245. they warn you,
  2246.  
  2247. 431
  2248. 00:22:01,029 --> 00:22:03,656
  2249. don't have more
  2250. than so many of
  2251. these fish a week
  2252.  
  2253. 432
  2254. 00:22:03,698 --> 00:22:05,700
  2255. because getting too much
  2256. mercury can kill you.
  2257.  
  2258. 433
  2259. 00:22:05,742 --> 00:22:08,912
  2260. Fish are eaten by bigger fish
  2261. who are eaten by bigger fish,
  2262.  
  2263. 434
  2264. 00:22:08,953 --> 00:22:13,041
  2265. and these pesticides or,
  2266. herbicides bioaccumulate
  2267. in the fish flesh
  2268.  
  2269. 435
  2270. 00:22:13,083 --> 00:22:16,836
  2271. and these big fish, including
  2272. the salmon, which people
  2273. think is the healthiest fish,
  2274.  
  2275. 436
  2276. 00:22:16,878 --> 00:22:19,547
  2277. truth is, the amount of
  2278. pesticides and herbicides
  2279.  
  2280. 437
  2281. 00:22:19,589 --> 00:22:23,093
  2282. in the flesh of these fish
  2283. are shocking,
  2284. and they have estrogenic
  2285.  
  2286. 438
  2287. 00:22:23,134 --> 00:22:25,469
  2288. and cancer-promoting
  2289. properties in them.
  2290.  
  2291. 439
  2292. 00:22:25,511 --> 00:22:28,514
  2293. They'll say, "Well,
  2294. but, don't sardines
  2295. have less concentration
  2296.  
  2297. 440
  2298. 00:22:28,556 --> 00:22:31,434
  2299. of toxic waste products
  2300. than other ones?"
  2301.  
  2302. 441
  2303. 00:22:31,475 --> 00:22:34,645
  2304. Something being less toxic
  2305. doesn't make it healthy,
  2306.  
  2307. 442
  2308. 00:22:34,687 --> 00:22:36,439
  2309. it just makes it less toxic.
  2310.  
  2311. 443
  2312. 00:22:36,480 --> 00:22:39,525
  2313. Farmed fish is
  2314. by no means healthier.
  2315.  
  2316. 444
  2317. 00:22:39,567 --> 00:22:42,653
  2318. All the antibiotics that
  2319. these animals have to be fed.
  2320.  
  2321. 445
  2322. 00:22:42,695 --> 00:22:44,281
  2323. Similar to chickens and turkeys
  2324.  
  2325. 446
  2326. 00:22:44,322 --> 00:22:46,783
  2327. kept in confinement,
  2328. these fish get infections.
  2329.  
  2330. 447
  2331. 00:22:46,824 --> 00:22:49,327
  2332. They get fungal infections,
  2333. they get bacterial infections,
  2334.  
  2335. 448
  2336. 00:22:49,368 --> 00:22:51,579
  2337. you've got to feed them
  2338. anti-fungals, antibiotics,
  2339.  
  2340. 449
  2341. 00:22:51,621 --> 00:22:55,125
  2342. and these substances accumulate
  2343. in the fish flesh as well.
  2344.  
  2345. 450
  2346. 00:22:55,166 --> 00:22:57,228
  2347. [Kip] I always knew
  2348. that pollution was
  2349. bad for our health,
  2350.  
  2351. 451
  2352. 00:22:57,252 --> 00:23:00,463
  2353. but I had never thought
  2354. about the environmental
  2355. pollutants affecting food.
  2356.  
  2357. 452
  2358. 00:23:00,504 --> 00:23:03,716
  2359. [Ewall] Dioxins being
  2360. the most toxic, man-made
  2361. chemicals known to science
  2362.  
  2363. 453
  2364. 00:23:03,758 --> 00:23:05,218
  2365. cause all sorts of things.
  2366.  
  2367. 454
  2368. 00:23:05,260 --> 00:23:07,971
  2369. They cause endometriosis,
  2370. they cause cancers,
  2371.  
  2372. 455
  2373. 00:23:08,012 --> 00:23:10,348
  2374. they cause endocrine
  2375. disruption problems.
  2376.  
  2377. 456
  2378. 00:23:10,389 --> 00:23:12,642
  2379. But, most of your exposure,
  2380. 93 percent of it,
  2381.  
  2382. 457
  2383. 00:23:12,683 --> 00:23:14,602
  2384. comes from eating meat
  2385. and dairy products
  2386.  
  2387. 458
  2388. 00:23:14,644 --> 00:23:17,021
  2389. because it climbs up
  2390. in the food chain
  2391. so effectively.
  2392.  
  2393. 459
  2394. 00:23:17,063 --> 00:23:19,232
  2395. So, you can
  2396. get exposed to them
  2397. by living near these
  2398.  
  2399. 460
  2400. 00:23:19,274 --> 00:23:22,693
  2401. incinerators and breathing it,
  2402. but, it will take you 14 years
  2403.  
  2404. 461
  2405. 00:23:22,735 --> 00:23:24,988
  2406. to breathe in as much
  2407. Dioxin as a cow will
  2408.  
  2409. 462
  2410. 00:23:25,029 --> 00:23:27,448
  2411. ingest by eating
  2412. the grass in one day.
  2413.  
  2414. 463
  2415. 00:23:27,490 --> 00:23:30,327
  2416. And that Dioxin will
  2417. accumulate in its fat,
  2418.  
  2419. 464
  2420. 00:23:30,368 --> 00:23:34,372
  2421. which includes the milk
  2422. and the meat and anyone
  2423. eating meat or dairy products
  2424.  
  2425. 465
  2426. 00:23:34,413 --> 00:23:36,333
  2427. is gonna get
  2428. that dose of Dioxin.
  2429.  
  2430. 466
  2431. 00:23:36,374 --> 00:23:38,542
  2432. So, it climbs up
  2433. the food chain
  2434. in every step.
  2435.  
  2436. 467
  2437. 00:23:38,584 --> 00:23:42,463
  2438. Men have no way
  2439. in their bodies
  2440. to get rid of dioxins,
  2441.  
  2442. 468
  2443. 00:23:42,505 --> 00:23:44,090
  2444. but, women have two ways.
  2445.  
  2446. 469
  2447. 00:23:44,132 --> 00:23:46,050
  2448. They're both involving
  2449. having a baby.
  2450.  
  2451. 470
  2452. 00:23:46,092 --> 00:23:49,595
  2453. One is that dioxin crosses
  2454. the placenta into
  2455. the growing infant
  2456.  
  2457. 471
  2458. 00:23:49,637 --> 00:23:52,431
  2459. and the other is that
  2460. it comes out from
  2461. the breast milk.
  2462.  
  2463. 472
  2464. 00:23:52,473 --> 00:23:55,852
  2465. So, if you have a meat
  2466. and dairy-consuming mother
  2467. breastfeeding that infant,
  2468.  
  2469. 473
  2470. 00:23:55,893 --> 00:23:58,813
  2471. then the highest
  2472. impacts of toxic exposure
  2473.  
  2474. 474
  2475. 00:23:58,855 --> 00:24:01,065
  2476. like mercury and dioxins
  2477. will go to that infant.
  2478.  
  2479. 475
  2480. 00:24:01,107 --> 00:24:04,402
  2481. Pregnant women are told,
  2482. "Certain types of fish
  2483. should be avoided,"
  2484.  
  2485. 476
  2486. 00:24:04,443 --> 00:24:07,280
  2487. but, what about all these
  2488. other animal products
  2489.  
  2490. 477
  2491. 00:24:07,322 --> 00:24:10,950
  2492. which are introducing,
  2493. imagine as
  2494. the fetus is developing,
  2495.  
  2496. 478
  2497. 00:24:10,992 --> 00:24:14,245
  2498. introducing these very
  2499. harmful toxins which,
  2500.  
  2501. 479
  2502. 00:24:14,287 --> 00:24:16,956
  2503. create reproductive
  2504. abnormalities,
  2505.  
  2506. 480
  2507. 00:24:16,998 --> 00:24:19,542
  2508. develop mental problems
  2509. and hormonal issues
  2510.  
  2511. 481
  2512. 00:24:19,583 --> 00:24:23,087
  2513. right as the child is
  2514. developing, the most critical
  2515. stage of development.
  2516.  
  2517. 482
  2518. 00:24:23,129 --> 00:24:25,548
  2519. It does make you worry
  2520. when people say,
  2521.  
  2522. 483
  2523. 00:24:25,589 --> 00:24:27,943
  2524. "Don't you wanna
  2525. have a little bit of milk
  2526. because you're pregnant?
  2527.  
  2528. 484
  2529. 00:24:27,967 --> 00:24:29,653
  2530. "Don't you wanna have some
  2531. fish 'cause your pregnant?"
  2532.  
  2533. 485
  2534. 00:24:29,677 --> 00:24:31,905
  2535. Who do you think is
  2536. gonna get the chemicals
  2537. that are in that?
  2538.  
  2539. 486
  2540. 00:24:31,929 --> 00:24:33,723
  2541. [Snyder] All these
  2542. environmental toxins
  2543.  
  2544. 487
  2545. 00:24:33,764 --> 00:24:36,351
  2546. and toxins from the feed
  2547. that they're being fed
  2548.  
  2549. 488
  2550. 00:24:36,393 --> 00:24:40,438
  2551. accumulate in their tissues
  2552. and are released
  2553. into the mother
  2554.  
  2555. 489
  2556. 00:24:40,479 --> 00:24:42,148
  2557. and unfortunately, to the child
  2558.  
  2559. 490
  2560. 00:24:42,190 --> 00:24:44,901
  2561. when you eat these products
  2562. when you're pregnant.
  2563.  
  2564. 491
  2565. 00:24:44,942 --> 00:24:50,740
  2566. So, this includes antibiotics,
  2567. hormones, steroids
  2568. in animal feed.
  2569.  
  2570. 492
  2571. 00:24:50,781 --> 00:24:54,869
  2572. Commercial animals are
  2573. largely fed GMO corn and soy
  2574.  
  2575. 493
  2576. 00:24:54,911 --> 00:24:57,538
  2577. which are very laden
  2578. in pesticides.
  2579.  
  2580. 494
  2581. 00:24:57,580 --> 00:24:59,749
  2582. PCBs have been
  2583. banned since the 70s,
  2584.  
  2585. 495
  2586. 00:24:59,790 --> 00:25:03,336
  2587. but, they persist in
  2588. the environment, dioxins.
  2589.  
  2590. 496
  2591. 00:25:03,378 --> 00:25:06,130
  2592. All of these compounds
  2593. can create hormonal,
  2594.  
  2595. 497
  2596. 00:25:06,172 --> 00:25:09,675
  2597. reproductive, developmental
  2598. damage as well.
  2599.  
  2600. 498
  2601. 00:25:09,717 --> 00:25:12,887
  2602. Eating organic beef,
  2603. poultry, pork
  2604.  
  2605. 499
  2606. 00:25:12,929 --> 00:25:15,432
  2607. or fish will not help
  2608. you avoid contaminants
  2609.  
  2610. 500
  2611. 00:25:15,473 --> 00:25:18,726
  2612. like mercury, like dioxins,
  2613. like strontium-90
  2614.  
  2615. 501
  2616. 00:25:18,768 --> 00:25:21,020
  2617. because they fall out over
  2618. all sorts of farm fields
  2619.  
  2620. 502
  2621. 00:25:21,062 --> 00:25:24,232
  2622. and water bodies, and then
  2623. they don't skip over the
  2624. organic fields.
  2625.  
  2626. 503
  2627. 00:25:24,274 --> 00:25:26,692
  2628. And so really,
  2629. the contaminants
  2630. are coming in
  2631.  
  2632. 504
  2633. 00:25:26,734 --> 00:25:29,112
  2634. regardless of how these
  2635. animals are raised.
  2636.  
  2637. 505
  2638. 00:25:29,153 --> 00:25:30,447
  2639. [Kip] I had
  2640. always been concerned
  2641.  
  2642. 506
  2643. 00:25:30,488 --> 00:25:32,407
  2644. about the possible
  2645. health impacts of GMOs
  2646.  
  2647. 507
  2648. 00:25:32,449 --> 00:25:34,509
  2649. but, then found out that most
  2650. of the world's GMO crops
  2651.  
  2652. 508
  2653. 00:25:34,533 --> 00:25:36,327
  2654. are actually
  2655. consumed by livestock,
  2656.  
  2657. 509
  2658. 00:25:36,369 --> 00:25:38,871
  2659. with dairy cows consuming
  2660. the most per animal.
  2661.  
  2662. 510
  2663. 00:25:38,913 --> 00:25:43,000
  2664. This fact, with everything I
  2665. learned about bioaccumulation
  2666. made dairy terrifying.
  2667.  
  2668. 511
  2669. 00:25:43,042 --> 00:25:46,087
  2670. Especially considering
  2671. how much cheese
  2672. I ate in my life.
  2673.  
  2674. 512
  2675. 00:25:46,129 --> 00:25:48,923
  2676. [Goldhamer]
  2677. Cheese is an amazing product
  2678. when you think about it.
  2679.  
  2680. 513
  2681. 00:25:48,965 --> 00:25:54,178
  2682. It's probably one
  2683. of the single best foods
  2684. in compromising health
  2685.  
  2686. 514
  2687. 00:25:54,220 --> 00:25:55,822
  2688. that you're gonna
  2689. actually feed to people.
  2690.  
  2691. 515
  2692. 00:25:55,846 --> 00:25:58,015
  2693. Think about it, you've
  2694. got an animal product.
  2695.  
  2696. 516
  2697. 00:25:58,057 --> 00:26:01,478
  2698. So, you've got all the issues
  2699. of biological concentration.
  2700.  
  2701. 517
  2702. 00:26:01,519 --> 00:26:04,439
  2703. You have a highly processed
  2704. food product,
  2705.  
  2706. 518
  2707. 00:26:04,481 --> 00:26:07,150
  2708. and not only does it
  2709. have naturally
  2710. a lot saturated fat,
  2711.  
  2712. 519
  2713. 00:26:07,191 --> 00:26:08,901
  2714. but, you put
  2715. a lot of salt into it.
  2716.  
  2717. 520
  2718. 00:26:08,943 --> 00:26:12,489
  2719. There's a strong link
  2720. between dairy foods
  2721. and autoimmune diseases.
  2722.  
  2723. 521
  2724. 00:26:12,530 --> 00:26:17,494
  2725. And so that can show
  2726. itself up as excessive
  2727. production of mucus
  2728.  
  2729. 522
  2730. 00:26:17,535 --> 00:26:19,996
  2731. and exacerbation
  2732. of asthma in kids
  2733. who are prone to that
  2734.  
  2735. 523
  2736. 00:26:20,037 --> 00:26:22,790
  2737. and even adults,
  2738. and also, there's an
  2739. association between
  2740.  
  2741. 524
  2742. 00:26:22,832 --> 00:26:26,794
  2743. dairy foods
  2744. and multiple sclerosis
  2745. and type one diabetes,
  2746.  
  2747. 525
  2748. 00:26:26,836 --> 00:26:30,923
  2749. which is an autoimmune
  2750. disease, and other
  2751. rheumatologic problems.
  2752.  
  2753. 526
  2754. 00:26:30,965 --> 00:26:34,635
  2755. Cow's milk is
  2756. baby calf growth fluid.
  2757.  
  2758. 527
  2759. 00:26:34,677 --> 00:26:36,554
  2760. That's what the stuff is.
  2761.  
  2762. 528
  2763. 00:26:36,595 --> 00:26:39,015
  2764. There's absolutely no child
  2765. or human on Earth
  2766.  
  2767. 529
  2768. 00:26:39,056 --> 00:26:40,891
  2769. who actually needs
  2770. the milk of a cow
  2771.  
  2772. 530
  2773. 00:26:40,933 --> 00:26:43,894
  2774. any more than
  2775. they need the milk
  2776. of a giraffe or, a mouse.
  2777.  
  2778. 531
  2779. 00:26:43,936 --> 00:26:46,981
  2780. Most people in the world
  2781. are lactose intolerant.
  2782.  
  2783. 532
  2784. 00:26:47,023 --> 00:26:48,649
  2785. That's the normal
  2786. state of affairs.
  2787.  
  2788. 533
  2789. 00:26:48,691 --> 00:26:52,278
  2790. Why would your body create
  2791. this enzyme, just lactose
  2792.  
  2793. 534
  2794. 00:26:52,320 --> 00:26:55,448
  2795. after weaning, after infancy,
  2796. it doesn't make any sense.
  2797.  
  2798. 535
  2799. 00:26:55,490 --> 00:26:58,826
  2800. 73% of African Americans
  2801. are lactose intolerant.
  2802.  
  2803. 536
  2804. 00:26:58,868 --> 00:27:01,078
  2805. 95% of Asians,
  2806.  
  2807. 537
  2808. 00:27:01,120 --> 00:27:03,914
  2809. roughly 70% of Native Americans,
  2810.  
  2811. 538
  2812. 00:27:03,956 --> 00:27:07,626
  2813. and about 53%
  2814. of Hispanic Americans
  2815. are lactose intolerant.
  2816.  
  2817. 539
  2818. 00:27:07,668 --> 00:27:11,005
  2819. Our government
  2820. is encouraging
  2821. Americans of color
  2822.  
  2823. 540
  2824. 00:27:11,047 --> 00:27:14,050
  2825. to eat foods that it knows
  2826. is going to make them ill.
  2827.  
  2828. 541
  2829. 00:27:14,091 --> 00:27:15,676
  2830. Ultimately,
  2831. what that boils down to
  2832.  
  2833. 542
  2834. 00:27:15,718 --> 00:27:17,779
  2835. is the government
  2836. is telling me
  2837. as an African American
  2838.  
  2839. 543
  2840. 00:27:17,803 --> 00:27:20,264
  2841. to eat food that's
  2842. gonna make me ill
  2843. for no health benefit
  2844.  
  2845. 544
  2846. 00:27:20,306 --> 00:27:22,892
  2847. so that it will
  2848. benefit dairy farmers.
  2849.  
  2850. 545
  2851. 00:27:22,933 --> 00:27:24,894
  2852. That's a form of
  2853. institutionalized racism.
  2854.  
  2855. 546
  2856. 00:27:24,935 --> 00:27:27,897
  2857. Yeah, milk is a risky
  2858. food for human consumption.
  2859.  
  2860. 547
  2861. 00:27:27,938 --> 00:27:31,275
  2862. As a pediatrician,
  2863. I see on a daily basis
  2864.  
  2865. 548
  2866. 00:27:31,317 --> 00:27:34,862
  2867. children suffering from
  2868. conditions that are linked
  2869.  
  2870. 549
  2871. 00:27:34,904 --> 00:27:37,031
  2872. or associated to
  2873. dairy consumption
  2874.  
  2875. 550
  2876. 00:27:37,073 --> 00:27:41,827
  2877. such as eczema, acne,
  2878. constipation, acid reflux,
  2879.  
  2880. 551
  2881. 00:27:41,869 --> 00:27:43,746
  2882. iron deficiency, anemia.
  2883.  
  2884. 552
  2885. 00:27:43,787 --> 00:27:45,789
  2886. Cow's milk protein is
  2887. the most allergenic food.
  2888.  
  2889. 553
  2890. 00:27:45,831 --> 00:27:47,917
  2891. People think, "Well, no,
  2892. I want hormone-free,
  2893.  
  2894. 554
  2895. 00:27:47,958 --> 00:27:50,336
  2896. not injected with
  2897. bovine growth hormone."
  2898.  
  2899. 555
  2900. 00:27:50,378 --> 00:27:53,756
  2901. But milk is this hormonal fluid,
  2902.  
  2903. 556
  2904. 00:27:53,797 --> 00:27:56,008
  2905. so it's just packed
  2906. with sex hormones
  2907.  
  2908. 557
  2909. 00:27:56,050 --> 00:27:59,262
  2910. and natural sex steroid
  2911. hormones like estrogen,
  2912. progesterone, in fact,
  2913.  
  2914. 558
  2915. 00:27:59,303 --> 00:28:02,890
  2916. doesn't matter if it's
  2917. conventional milk, doesn't
  2918. matter if it's organic milk.
  2919.  
  2920. 559
  2921. 00:28:02,932 --> 00:28:05,309
  2922. Milk without hormones,
  2923. that's an oxymoron.
  2924.  
  2925. 560
  2926. 00:28:05,351 --> 00:28:08,605
  2927. Organic dairy has just
  2928. as much saturated fat
  2929.  
  2930. 561
  2931. 00:28:08,646 --> 00:28:12,691
  2932. and cholesterol and
  2933. galactose, all the things
  2934. that you don't want,
  2935.  
  2936. 562
  2937. 00:28:12,733 --> 00:28:14,151
  2938. as conventional dairy.
  2939.  
  2940. 563
  2941. 00:28:14,193 --> 00:28:15,612
  2942. Dairy products, in general,
  2943.  
  2944. 564
  2945. 00:28:15,653 --> 00:28:18,072
  2946. have a lot of other
  2947. products associated with it,
  2948.  
  2949. 565
  2950. 00:28:18,114 --> 00:28:20,116
  2951. not the least of which is pus.
  2952.  
  2953. 566
  2954. 00:28:20,157 --> 00:28:21,867
  2955. They actually have laws limiting
  2956.  
  2957. 567
  2958. 00:28:21,909 --> 00:28:24,454
  2959. how much pus you can
  2960. actually have in the milk
  2961. and still sell it,
  2962.  
  2963. 568
  2964. 00:28:24,495 --> 00:28:27,748
  2965. I believe it's like
  2966. 750,000 pus cells per CC.
  2967.  
  2968. 569
  2969. 00:28:27,790 --> 00:28:30,627
  2970. Because you wouldn't want
  2971. too much pus and then
  2972. it'd be like pure pus,
  2973.  
  2974. 570
  2975. 00:28:30,668 --> 00:28:31,669
  2976. people might object.
  2977.  
  2978. 571
  2979. 00:28:31,710 --> 00:28:33,087
  2980. In fact,
  2981. you could think of cheese
  2982.  
  2983. 572
  2984. 00:28:33,129 --> 00:28:36,006
  2985. as kind of coagulated
  2986. cow pus, if you would.
  2987.  
  2988. 573
  2989. 00:28:36,048 --> 00:28:38,926
  2990. [Kip] But, I was always told
  2991. that we need milk
  2992. for strong bones.
  2993.  
  2994. 574
  2995. 00:28:38,968 --> 00:28:42,472
  2996. I'm Jane Chapman,
  2997. and not too long ago,
  2998.  
  2999. 575
  3000. 00:28:42,513 --> 00:28:45,683
  3001. I finally got some x-rays
  3002. of the hips and back,
  3003.  
  3004. 576
  3005. 00:28:45,724 --> 00:28:50,354
  3006. severe bilateral
  3007. osteoarthritis of the hips.
  3008.  
  3009. 577
  3010. 00:28:50,396 --> 00:28:53,483
  3011. And actually, I'm scheduled
  3012. for two hip replacements.
  3013.  
  3014. 578
  3015. 00:28:53,524 --> 00:28:55,151
  3016. That's bone on bone.
  3017.  
  3018. 579
  3019. 00:28:55,192 --> 00:28:57,778
  3020. It's the grinding of the joints.
  3021.  
  3022. 580
  3023. 00:28:57,820 --> 00:29:00,197
  3024. My stability is scary.
  3025.  
  3026. 581
  3027. 00:29:00,239 --> 00:29:03,451
  3028. I hold on to the walls
  3029. when I'm at home.
  3030.  
  3031. 582
  3032. 00:29:03,493 --> 00:29:05,453
  3033. I've been told to use a walker.
  3034.  
  3035. 583
  3036. 00:29:05,495 --> 00:29:07,288
  3037. I'm only 61.
  3038.  
  3039. 584
  3040. 00:29:07,330 --> 00:29:10,374
  3041. This is not how you're
  3042. supposed to live when
  3043. you're this old.
  3044.  
  3045. 585
  3046. 00:29:10,416 --> 00:29:13,794
  3047. I have a really hard time
  3048. believing that
  3049.  
  3050. 586
  3051. 00:29:15,754 --> 00:29:17,548
  3052. that's all that's left.
  3053.  
  3054. 587
  3055. 00:29:17,590 --> 00:29:20,301
  3056. Researchers have studied
  3057. bone development in kids
  3058.  
  3059. 588
  3060. 00:29:20,343 --> 00:29:22,928
  3061. and whether they get
  3062. stress fractures
  3063. and that kind of thing.
  3064.  
  3065. 589
  3066. 00:29:22,970 --> 00:29:25,389
  3067. And the kids who
  3068. drink the most milk
  3069. have zero protection.
  3070.  
  3071. 590
  3072. 00:29:25,431 --> 00:29:27,600
  3073. Milk does not
  3074. build strong bones.
  3075.  
  3076. 591
  3077. 00:29:27,642 --> 00:29:30,978
  3078. Harvard researchers
  3079. have looked at a large group
  3080. of older women,
  3081.  
  3082. 592
  3083. 00:29:31,020 --> 00:29:32,480
  3084. over an 18-year period,
  3085.  
  3086. 593
  3087. 00:29:32,522 --> 00:29:35,692
  3088. the milk drinkers had zero
  3089. protection from fractures.
  3090.  
  3091. 594
  3092. 00:29:35,733 --> 00:29:38,986
  3093. So, this old notion
  3094. that somehow milk is
  3095. gonna build strong bones
  3096.  
  3097. 595
  3098. 00:29:39,028 --> 00:29:41,531
  3099. or protect your bones
  3100. later in life, it's a myth.
  3101.  
  3102. 596
  3103. 00:29:41,572 --> 00:29:45,159
  3104. People that drink milk
  3105. have higher rates
  3106. of hip fractures,
  3107.  
  3108. 597
  3109. 00:29:45,201 --> 00:29:48,705
  3110. have more cancer
  3111. and live shorter lives.
  3112.  
  3113. 598
  3114. 00:29:48,746 --> 00:29:50,182
  3115. [Kip] Turns out that
  3116. countries with the highest
  3117.  
  3118. 599
  3119. 00:29:50,206 --> 00:29:52,291
  3120. dairy consumption also
  3121. have the highest rates
  3122.  
  3123. 600
  3124. 00:29:52,333 --> 00:29:56,295
  3125. of osteoporosis, so clearly,
  3126. drinking more milk
  3127. doesn't protect your bones.
  3128.  
  3129. 601
  3130. 00:29:56,337 --> 00:29:58,589
  3131. Doing more research,
  3132. I found that dairy was linked
  3133.  
  3134. 602
  3135. 00:29:58,631 --> 00:30:01,175
  3136. to many different types of
  3137. cancer as well.
  3138.  
  3139. 603
  3140. 00:30:01,217 --> 00:30:04,554
  3141. Just like many of us,
  3142. I thought that the majority
  3143. of cancer was due to genes,
  3144.  
  3145. 604
  3146. 00:30:04,595 --> 00:30:08,516
  3147. but, only five to 10% of
  3148. cancer is actually genetic.
  3149.  
  3150. 605
  3151. 00:30:08,558 --> 00:30:12,395
  3152. Any cancer is caused
  3153. by DNA mutation,
  3154. but, that's not enough.
  3155.  
  3156. 606
  3157. 00:30:12,436 --> 00:30:16,357
  3158. So, that can cause that first
  3159. cancer cell, but, one cancer
  3160. cell never killed anyone.
  3161.  
  3162. 607
  3163. 00:30:16,399 --> 00:30:18,192
  3164. Two cancer cells
  3165. never killed anyone.
  3166.  
  3167. 608
  3168. 00:30:18,234 --> 00:30:20,861
  3169. But, a billion cancer cells,
  3170. now we're running
  3171. into problems.
  3172.  
  3173. 609
  3174. 00:30:20,903 --> 00:30:23,072
  3175. So, we need to reduce the
  3176. growth factors in our body,
  3177.  
  3178. 610
  3179. 00:30:23,113 --> 00:30:25,658
  3180. like IGF-1, insulin-like
  3181. growth factor one,
  3182.  
  3183. 611
  3184. 00:30:25,700 --> 00:30:29,579
  3185. it's this cancer-promoting
  3186. growth hormone involved
  3187. in every stage of cancer cell
  3188.  
  3189. 612
  3190. 00:30:29,620 --> 00:30:32,540
  3191. growth and spread
  3192. and metastases.
  3193.  
  3194. 613
  3195. 00:30:32,582 --> 00:30:36,001
  3196. Any animal protein boosts
  3197. the level of IGF-1.
  3198.  
  3199. 614
  3200. 00:30:36,043 --> 00:30:37,878
  3201. Dairy products
  3202. increases your risk for
  3203.  
  3204. 615
  3205. 00:30:37,920 --> 00:30:41,424
  3206. various forms of cancer,
  3207. especially those related
  3208. to your hormones.
  3209.  
  3210. 616
  3211. 00:30:41,465 --> 00:30:44,134
  3212. So, breast cancer,
  3213. prostate cancer,
  3214. ovarian cancer.
  3215.  
  3216. 617
  3217. 00:30:44,176 --> 00:30:47,346
  3218. So, this is not a product
  3219. even in its most pure state
  3220.  
  3221. 618
  3222. 00:30:47,388 --> 00:30:49,973
  3223. you wanna be consuming because
  3224. it does come with risk.
  3225.  
  3226. 619
  3227. 00:30:50,015 --> 00:30:51,826
  3228. [Kip] I found out that dairy
  3229. can increase a man's chance
  3230.  
  3231. 620
  3232. 00:30:51,850 --> 00:30:54,687
  3233. of getting prostate cancer
  3234. by 34%.
  3235.  
  3236. 621
  3237. 00:30:54,729 --> 00:30:58,274
  3238. And for women who've had
  3239. breast cancer, just one
  3240. serving of whole dairy a day
  3241.  
  3242. 622
  3243. 00:30:58,315 --> 00:31:01,444
  3244. can increase their chance of
  3245. dying from the disease 49%
  3246.  
  3247. 623
  3248. 00:31:01,485 --> 00:31:04,614
  3249. and dying from anything 64%.
  3250.  
  3251. 624
  3252. 00:31:04,655 --> 00:31:07,199
  3253. Why weren't breast cancer
  3254. sites like Susan G. Komen
  3255.  
  3256. 625
  3257. 00:31:07,241 --> 00:31:08,867
  3258. warning everyone about this?
  3259.  
  3260. 626
  3261. 00:31:10,661 --> 00:31:12,288
  3262. [woman]
  3263. Thanks for calling
  3264. Susan G. Komen,
  3265.  
  3266. 627
  3267. 00:31:12,329 --> 00:31:14,582
  3268. this is Jocelyn,
  3269. how may I help you?
  3270.  
  3271. 628
  3272. 00:31:14,624 --> 00:31:16,041
  3273. Yes, so we're wondering why
  3274.  
  3275. 629
  3276. 00:31:16,083 --> 00:31:17,603
  3277. you don't have a huge
  3278. warning about the dangers
  3279.  
  3280. 630
  3281. 00:31:17,627 --> 00:31:19,128
  3282. of consuming dairy
  3283. on your website
  3284.  
  3285. 631
  3286. 00:31:19,169 --> 00:31:21,505
  3287. when there's a direct
  3288. link to breast cancer.
  3289.  
  3290. 632
  3291. 00:31:21,547 --> 00:31:22,899
  3292. There was a study
  3293. published in the Journal
  3294.  
  3295. 633
  3296. 00:31:22,923 --> 00:31:25,050
  3297. of the National Cancer
  3298. Institute that found out
  3299.  
  3300. 634
  3301. 00:31:25,092 --> 00:31:27,886
  3302. women consuming dairy
  3303. who has had breast cancer
  3304.  
  3305. 635
  3306. 00:31:27,928 --> 00:31:31,390
  3307. increases their risk of
  3308. dying of breast cancer 49%.
  3309.  
  3310. 636
  3311. 00:31:31,432 --> 00:31:33,768
  3312. I was wondering why it's
  3313. not on your website.
  3314.  
  3315. 637
  3316. 00:31:35,936 --> 00:31:37,790
  3317. [woman] We cannot answer
  3318. these types of questions.
  3319.  
  3320. 638
  3321. 00:31:37,814 --> 00:31:40,399
  3322. [Kip] Once again, another
  3323. health organization rep saying
  3324.  
  3325. 639
  3326. 00:31:40,441 --> 00:31:42,610
  3327. someone else would have
  3328. to answer my question.
  3329.  
  3330. 640
  3331. 00:31:42,652 --> 00:31:44,194
  3332. Rather than risk
  3333. being stood up again,
  3334.  
  3335. 641
  3336. 00:31:44,236 --> 00:31:46,823
  3337. I went straight to the
  3338. local Susan G. Komen chapter
  3339.  
  3340. 642
  3341. 00:31:46,864 --> 00:31:49,074
  3342. to see if they would answer
  3343. my questions.
  3344.  
  3345. 643
  3346. 00:31:54,037 --> 00:31:57,708
  3347. They didn't want to answer
  3348. my questions in person either
  3349. and told us to stop filming
  3350.  
  3351. 644
  3352. 00:31:57,750 --> 00:32:01,712
  3353. but, promised they would
  3354. connect me to the
  3355. national office directly.
  3356.  
  3357. 645
  3358. 00:32:04,173 --> 00:32:06,049
  3359. Susan G. Komen's
  3360. pink ribbon campaign
  3361.  
  3362. 646
  3363. 00:32:06,091 --> 00:32:08,927
  3364. had done a lot to raise
  3365. awareness for breast cancer.
  3366.  
  3367. 647
  3368. 00:32:08,969 --> 00:32:11,472
  3369. Although, it was confusing
  3370. to see pink ribbons
  3371.  
  3372. 648
  3373. 00:32:11,514 --> 00:32:13,557
  3374. on dairy yogurt containers.
  3375.  
  3376. 649
  3377. 00:32:13,599 --> 00:32:16,018
  3378. Breast cancer can be prevented
  3379.  
  3380. 650
  3381. 00:32:16,059 --> 00:32:18,395
  3382. with a healthy diet and
  3383. lifestyle, but, we're not.
  3384.  
  3385. 651
  3386. 00:32:18,437 --> 00:32:21,774
  3387. We're talking
  3388. about pink ribbons
  3389. and putting all the money
  3390.  
  3391. 652
  3392. 00:32:21,816 --> 00:32:23,526
  3393. into research for the cure.
  3394.  
  3395. 653
  3396. 00:32:23,567 --> 00:32:27,488
  3397. I, for one, know that
  3398. I would want my daughter,
  3399. my mother, me,
  3400.  
  3401. 654
  3402. 00:32:27,530 --> 00:32:29,782
  3403. I want to focus on not
  3404. getting to that point.
  3405.  
  3406. 655
  3407. 00:32:29,824 --> 00:32:33,494
  3408. And that's where I would
  3409. like to see more
  3410. energy and effort put.
  3411.  
  3412. 656
  3413. 00:32:33,536 --> 00:32:35,371
  3414. [Kip] I had been
  3415. a hardcore cheese-aholic
  3416.  
  3417. 657
  3418. 00:32:35,412 --> 00:32:37,874
  3419. virtually my entire life,
  3420. despite the risks.
  3421.  
  3422. 658
  3423. 00:32:37,915 --> 00:32:40,710
  3424. But, like so many others,
  3425. I seem to have been
  3426. addicted to it.
  3427.  
  3428. 659
  3429. 00:32:40,751 --> 00:32:46,298
  3430. It turns out that the casein
  3431. protein, that's the main
  3432. protein in dairy products,
  3433.  
  3434. 660
  3435. 00:32:46,340 --> 00:32:49,259
  3436. and particularly in cheese,
  3437. it breaks apart
  3438. in the human digestion
  3439.  
  3440. 661
  3441. 00:32:49,301 --> 00:32:52,179
  3442. to create what are called
  3443. casopmorphins.
  3444.  
  3445. 662
  3446. 00:32:52,221 --> 00:32:56,517
  3447. Casein-derived,
  3448. morphine-like compounds
  3449. that go to the brain
  3450.  
  3451. 663
  3452. 00:32:56,559 --> 00:33:00,813
  3453. and they attach to
  3454. the very same receptor
  3455. that heroin attaches to.
  3456.  
  3457. 664
  3458. 00:33:00,855 --> 00:33:02,815
  3459. Don't get me wrong,
  3460. they're not as strong
  3461. as that,
  3462.  
  3463. 665
  3464. 00:33:02,857 --> 00:33:04,441
  3465. but, they are strong enough
  3466.  
  3467. 666
  3468. 00:33:04,483 --> 00:33:07,361
  3469. to make you come back
  3470. again and again and again
  3471.  
  3472. 667
  3473. 00:33:07,403 --> 00:33:09,123
  3474. despite the fact that
  3475. you're gaining weight,
  3476.  
  3477. 668
  3478. 00:33:09,154 --> 00:33:11,407
  3479. you're more unhealthy
  3480. than you've ever been,
  3481.  
  3482. 669
  3483. 00:33:11,448 --> 00:33:13,325
  3484. but, that cheese
  3485. just calls out to people.
  3486.  
  3487. 670
  3488. 00:33:13,367 --> 00:33:17,705
  3489. Casomorphin may play
  3490. a role in SIDS, in sudden
  3491. infant death syndrome,
  3492.  
  3493. 671
  3494. 00:33:17,747 --> 00:33:21,417
  3495. may play a role in autism.
  3496. This is one of the reasons why
  3497.  
  3498. 672
  3499. 00:33:21,458 --> 00:33:25,337
  3500. we don't want infants
  3501. drinking milk from cows.
  3502.  
  3503. 673
  3504. 00:33:25,379 --> 00:33:28,925
  3505. [Kip] Human breast milk
  3506. has 2.7 grams
  3507. of casein per liter,
  3508.  
  3509. 674
  3510. 00:33:28,966 --> 00:33:32,177
  3511. compared to 26 grams per
  3512. liter for cow's milk.
  3513.  
  3514. 675
  3515. 00:33:32,219 --> 00:33:36,348
  3516. That's practically
  3517. 10 times more.
  3518. No wonder it's so addictive.
  3519.  
  3520. 676
  3521. 00:33:36,390 --> 00:33:38,034
  3522. This talk about addiction
  3523. made me think about
  3524.  
  3525. 677
  3526. 00:33:38,058 --> 00:33:40,143
  3527. all the drugs animals are fed.
  3528.  
  3529. 678
  3530. 00:33:40,185 --> 00:33:42,646
  3531. I went to the headquarters
  3532. of the Center for Food Safety,
  3533.  
  3534. 679
  3535. 00:33:42,688 --> 00:33:45,942
  3536. the nation's leading
  3537. FDA government
  3538. watchdog group
  3539.  
  3540. 680
  3541. 00:33:45,983 --> 00:33:48,861
  3542. to see how concerned
  3543. we need to be
  3544. about drugs in our food.
  3545.  
  3546. 681
  3547. 00:33:48,903 --> 00:33:52,782
  3548. So, that we know of, there are
  3549. at least 450 different drugs
  3550.  
  3551. 682
  3552. 00:33:52,823 --> 00:33:55,952
  3553. that are administered
  3554. to animals, either alone
  3555. or, in combination.
  3556.  
  3557. 683
  3558. 00:33:55,993 --> 00:33:59,246
  3559. These drugs
  3560. are given to animals
  3561. for a variety of reasons,
  3562.  
  3563. 684
  3564. 00:33:59,288 --> 00:34:03,333
  3565. very, very few of which
  3566. are actually beneficial
  3567. to consumer health.
  3568.  
  3569. 685
  3570. 00:34:03,375 --> 00:34:07,838
  3571. We've got drug companies that
  3572. work real hard to make sure
  3573.  
  3574. 686
  3575. 00:34:07,880 --> 00:34:09,882
  3576. they can sell lots of drugs
  3577.  
  3578. 687
  3579. 00:34:09,924 --> 00:34:12,009
  3580. to people raising cows,
  3581. pigs, and chickens.
  3582.  
  3583. 688
  3584. 00:34:12,050 --> 00:34:16,263
  3585. The pharmaceutical industry
  3586. sells 80% of all
  3587. the antibiotics that it makes
  3588.  
  3589. 689
  3590. 00:34:16,305 --> 00:34:18,682
  3591. in the United States
  3592. to animal agriculture.
  3593.  
  3594. 690
  3595. 00:34:18,724 --> 00:34:20,434
  3596. Antibiotic residues
  3597. are found in the meat,
  3598.  
  3599. 691
  3600. 00:34:20,476 --> 00:34:22,603
  3601. other antimicrobials
  3602. are found in meat.
  3603.  
  3604. 692
  3605. 00:34:22,645 --> 00:34:26,023
  3606. There has been ractopamine
  3607. found in meat, there has been
  3608. hormones found in meat,
  3609.  
  3610. 693
  3611. 00:34:26,064 --> 00:34:28,442
  3612. so right there,
  3613. you're talking about
  3614. four different drugs
  3615.  
  3616. 694
  3617. 00:34:28,484 --> 00:34:30,945
  3618. that could be in
  3619. the same piece of meat.
  3620.  
  3621. 695
  3622. 00:34:30,987 --> 00:34:32,947
  3623. The pharmaceutical company
  3624. is supposed to show
  3625.  
  3626. 696
  3627. 00:34:32,989 --> 00:34:35,198
  3628. the safety of animal drugs.
  3629.  
  3630. 697
  3631. 00:34:35,240 --> 00:34:38,219
  3632. They're not really testing
  3633. to see what the impacts of
  3634. these drugs are on humans.
  3635.  
  3636. 698
  3637. 00:34:38,243 --> 00:34:39,721
  3638. They're really looking
  3639. to see what the impacts
  3640.  
  3641. 699
  3642. 00:34:39,745 --> 00:34:41,288
  3643. of these drugs are on animals.
  3644.  
  3645. 700
  3646. 00:34:41,330 --> 00:34:45,292
  3647. When we try to get information
  3648. on some of the health studies
  3649.  
  3650. 701
  3651. 00:34:45,334 --> 00:34:48,337
  3652. and the environmental studies
  3653. from federal agencies,
  3654.  
  3655. 702
  3656. 00:34:48,378 --> 00:34:52,967
  3657. we get back page after page
  3658. of blacked out information
  3659.  
  3660. 703
  3661. 00:34:53,009 --> 00:34:57,513
  3662. because the company claimed
  3663. confidential business
  3664. information.
  3665.  
  3666. 704
  3667. 00:34:57,554 --> 00:35:02,810
  3668. Consumers have no idea
  3669. what is in the products
  3670. that they consume.
  3671.  
  3672. 705
  3673. 00:35:02,852 --> 00:35:07,356
  3674. So, how sick something
  3675. makes me and how bad
  3676. it pollutes the environment
  3677.  
  3678. 706
  3679. 00:35:07,397 --> 00:35:09,483
  3680. is a secret for a company.
  3681.  
  3682. 707
  3683. 00:35:09,525 --> 00:35:12,778
  3684. In the animal agriculture
  3685. industry, as in the
  3686. tobacco industry,
  3687.  
  3688. 708
  3689. 00:35:12,820 --> 00:35:15,572
  3690. these companies really
  3691. have a vested interest
  3692.  
  3693. 709
  3694. 00:35:15,614 --> 00:35:17,616
  3695. in making sure that
  3696. the public doesn't have
  3697.  
  3698. 710
  3699. 00:35:17,658 --> 00:35:19,284
  3700. information about their effects
  3701.  
  3702. 711
  3703. 00:35:19,326 --> 00:35:22,663
  3704. and what risks are really
  3705. posed to consuming them.
  3706.  
  3707. 712
  3708. 00:35:22,705 --> 00:35:26,542
  3709. You have this system
  3710. where animals are living
  3711. in their own waste,
  3712.  
  3713. 713
  3714. 00:35:26,583 --> 00:35:30,087
  3715. they're living next to
  3716. animals that are sick or,
  3717. even dead,
  3718.  
  3719. 714
  3720. 00:35:30,128 --> 00:35:32,006
  3721. and they're stuck in
  3722. cages with these animals,
  3723.  
  3724. 715
  3725. 00:35:32,048 --> 00:35:35,926
  3726. that bacteria tends to
  3727. spread, that the pathogens
  3728. that are being created
  3729.  
  3730. 716
  3731. 00:35:35,968 --> 00:35:39,388
  3732. in these filthy
  3733. conditions are breeding
  3734. resistance to antibiotics
  3735.  
  3736. 717
  3737. 00:35:39,429 --> 00:35:41,431
  3738. and the public are
  3739. becoming exposed to those.
  3740.  
  3741. 718
  3742. 00:35:41,473 --> 00:35:43,100
  3743. We already have people dying.
  3744.  
  3745. 719
  3746. 00:35:43,141 --> 00:35:46,520
  3747. From salmonella and other
  3748. things that you eat,
  3749.  
  3750. 720
  3751. 00:35:46,562 --> 00:35:50,816
  3752. we have about
  3753. 3,000 people die every year
  3754. in the United States.
  3755.  
  3756. 721
  3757. 00:35:50,858 --> 00:35:53,903
  3758. That's more than the
  3759. number of people that were
  3760.  
  3761. 722
  3762. 00:35:53,944 --> 00:35:57,489
  3763. killed in 9/11 in the
  3764. Twin Towers in New York.
  3765.  
  3766. 723
  3767. 00:35:57,531 --> 00:35:59,950
  3768. If we had some terrorist
  3769. organization killing
  3770.  
  3771. 724
  3772. 00:35:59,992 --> 00:36:03,161
  3773. 3,000 people a year,
  3774. we would be all over it.
  3775.  
  3776. 725
  3777. 00:36:03,203 --> 00:36:07,332
  3778. The antibiotic-resistant
  3779. bacteria deaths that we have
  3780.  
  3781. 726
  3782. 00:36:07,374 --> 00:36:11,128
  3783. on top of that, you get
  3784. 20,000 people dying a year.
  3785.  
  3786. 727
  3787. 00:36:11,169 --> 00:36:15,799
  3788. That's seven 9/11s every year.
  3789.  
  3790. 728
  3791. 00:36:15,841 --> 00:36:17,467
  3792. Can you imagine?
  3793.  
  3794. 729
  3795. 00:36:17,509 --> 00:36:20,220
  3796. If that many people
  3797. were being killed
  3798.  
  3799. 730
  3800. 00:36:20,262 --> 00:36:22,056
  3801. by some terrorist group
  3802. in the United States
  3803.  
  3804. 731
  3805. 00:36:22,098 --> 00:36:23,682
  3806. every year, we would find them!
  3807.  
  3808. 732
  3809. 00:36:23,724 --> 00:36:25,726
  3810. You know,
  3811. the World Health Organization
  3812.  
  3813. 733
  3814. 00:36:25,768 --> 00:36:28,604
  3815. has said we're nearing
  3816. a post-antibiotic era
  3817. in medicine.
  3818.  
  3819. 734
  3820. 00:36:28,645 --> 00:36:31,857
  3821. You'll be at risk
  3822. in minor surgeries
  3823. o have a fatal infection.
  3824.  
  3825. 735
  3826. 00:36:31,899 --> 00:36:34,693
  3827. You'll be at risk going to
  3828. the dentist if you have
  3829. a tooth extracted.
  3830.  
  3831. 736
  3832. 00:36:34,735 --> 00:36:38,280
  3833. Or, it'll be like civil war
  3834. medicine. You get an infection
  3835. in your leg,
  3836.  
  3837. 737
  3838. 00:36:38,321 --> 00:36:39,448
  3839. and you cut your leg off.
  3840.  
  3841. 738
  3842. 00:36:39,489 --> 00:36:41,825
  3843. So, you have this
  3844. very dangerous situation.
  3845.  
  3846. 739
  3847. 00:36:41,867 --> 00:36:43,953
  3848. By crowding these animals in,
  3849.  
  3850. 740
  3851. 00:36:43,994 --> 00:36:47,372
  3852. they become a perfect
  3853. engine for generating
  3854.  
  3855. 741
  3856. 00:36:47,414 --> 00:36:50,292
  3857. a new flu virus that can
  3858. come out into the community.
  3859.  
  3860. 742
  3861. 00:36:50,333 --> 00:36:53,462
  3862. If you lived near
  3863. a swine spray field,
  3864.  
  3865. 743
  3866. 00:36:53,503 --> 00:36:57,257
  3867. not even the CAFO but
  3868. the waste disposal field,
  3869.  
  3870. 744
  3871. 00:36:57,299 --> 00:37:01,344
  3872. you are three times
  3873. more likely to have
  3874. a MRSA infection.
  3875.  
  3876. 745
  3877. 00:37:01,386 --> 00:37:06,183
  3878. You can't see how that impacts
  3879. the average person's life
  3880.  
  3881. 746
  3882. 00:37:06,224 --> 00:37:10,020
  3883. in Duplin County,
  3884. North Carolina and not be
  3885. a little upset about it.
  3886.  
  3887. 747
  3888. 00:37:12,064 --> 00:37:15,609
  3889. From an
  3890. environmental standpoint,
  3891. from a community standpoint,
  3892.  
  3893. 748
  3894. 00:37:15,651 --> 00:37:19,071
  3895. from all other aspects,
  3896. North Carolina, we're in
  3897. a state of emergency.
  3898.  
  3899. 749
  3900. 00:37:19,113 --> 00:37:23,659
  3901. We've already had bouts
  3902. of swine flu, or H1N1,
  3903. as they prefer to refer to it.
  3904.  
  3905. 750
  3906. 00:37:23,700 --> 00:37:26,120
  3907. That particular swine flu
  3908. incident was
  3909.  
  3910. 751
  3911. 00:37:26,162 --> 00:37:29,414
  3912. originated on a farm
  3913. here in North Carolina.
  3914.  
  3915. 752
  3916. 00:37:29,456 --> 00:37:31,792
  3917. There's approximately
  3918. the same number of hogs
  3919.  
  3920. 753
  3921. 00:37:31,834 --> 00:37:33,669
  3922. in North Carolina
  3923. as there are people.
  3924.  
  3925. 754
  3926. 00:37:33,710 --> 00:37:38,007
  3927. Between eight to 10 times
  3928. the amount of feces is
  3929. produced by a hog,
  3930.  
  3931. 755
  3932. 00:37:38,048 --> 00:37:41,218
  3933. an adult hog as compared
  3934. to an adult human.
  3935.  
  3936. 756
  3937. 00:37:41,259 --> 00:37:42,928
  3938. [Kip] 10 million pigs
  3939. in North Carolina
  3940.  
  3941. 757
  3942. 00:37:42,970 --> 00:37:46,182
  3943. produce the waste equal to
  3944. a hundred million humans.
  3945.  
  3946. 758
  3947. 00:37:46,223 --> 00:37:49,476
  3948. This is the equivalent of the
  3949. entire US Eastern Seaboard
  3950.  
  3951. 759
  3952. 00:37:49,518 --> 00:37:51,728
  3953. flushing their toilets
  3954. into North Carolina.
  3955.  
  3956. 760
  3957. 00:37:51,770 --> 00:37:53,313
  3958. But, there is
  3959. no waste treatment.
  3960.  
  3961. 761
  3962. 00:37:53,355 --> 00:37:55,524
  3963. The pigs' waste falls
  3964. through slats in the floors
  3965.  
  3966. 762
  3967. 00:37:55,565 --> 00:37:59,277
  3968. of the sheds they are forced
  3969. to live in, it is then
  3970. pumped into giant waste pits,
  3971.  
  3972. 763
  3973. 00:37:59,319 --> 00:38:03,532
  3974. which leech into rivers and
  3975. streams and is pumped out
  3976. unfiltered onto fields,
  3977.  
  3978. 764
  3979. 00:38:03,573 --> 00:38:07,619
  3980. further polluting
  3981. the environment
  3982. and neighboring health.
  3983.  
  3984. 765
  3985. 00:38:07,661 --> 00:38:09,830
  3986. When you go back and
  3987. you look at where these
  3988.  
  3989. 766
  3990. 00:38:09,872 --> 00:38:13,709
  3991. hog facilities are located,
  3992. there's a disproportionate
  3993. number of them
  3994.  
  3995. 767
  3996. 00:38:13,750 --> 00:38:16,628
  3997. that are located near
  3998. communities of color.
  3999.  
  4000. 768
  4001. 00:38:16,670 --> 00:38:17,838
  4002. Low-income communities.
  4003.  
  4004. 769
  4005. 00:38:17,880 --> 00:38:21,258
  4006. It is definitely a human
  4007. rights issue.
  4008.  
  4009. 770
  4010. 00:38:21,299 --> 00:38:25,721
  4011. My sister, she have asthma,
  4012. you know. Her brother,
  4013. he have asthma.
  4014.  
  4015. 771
  4016. 00:38:26,388 --> 00:38:28,224
  4017. He's three.
  4018.  
  4019. 772
  4020. 00:38:28,265 --> 00:38:29,892
  4021. And we don't know
  4022. what she might have.
  4023.  
  4024. 773
  4025. 00:38:31,185 --> 00:38:34,104
  4026. I have asthma, I have sinus,
  4027.  
  4028. 774
  4029. 00:38:34,146 --> 00:38:37,107
  4030. I have sarcoidosis,
  4031. that's of the bacteria,
  4032.  
  4033. 775
  4034. 00:38:37,149 --> 00:38:40,402
  4035. and I have a pacemaker,
  4036. which is sick sinus syndrome.
  4037.  
  4038. 776
  4039. 00:38:40,443 --> 00:38:43,906
  4040. But, you know, mostly
  4041. everybody in this neighborhood
  4042.  
  4043. 777
  4044. 00:38:43,947 --> 00:38:46,324
  4045. got asthma or, either cancer.
  4046.  
  4047. 778
  4048. 00:38:46,366 --> 00:38:50,579
  4049. My neighbor there
  4050. died from cancer
  4051. probably just last year.
  4052.  
  4053. 779
  4054. 00:38:50,620 --> 00:38:52,372
  4055. My nephew down the street,
  4056. he's got cancer,
  4057.  
  4058. 780
  4059. 00:38:52,414 --> 00:38:55,042
  4060. he's in terminal cancer,
  4061. stage four.
  4062.  
  4063. 781
  4064. 00:38:55,084 --> 00:38:57,335
  4065. Not a smoker, not a drinker.
  4066.  
  4067. 782
  4068. 00:38:57,377 --> 00:39:00,505
  4069. And it's not in his lungs,
  4070. it's in his lymph nodes.
  4071.  
  4072. 783
  4073. 00:39:00,547 --> 00:39:03,717
  4074. Now see if you live here
  4075. and saw the way they do,
  4076.  
  4077. 784
  4078. 00:39:03,759 --> 00:39:05,468
  4079. we don't eat no pork.
  4080.  
  4081. 785
  4082. 00:39:05,510 --> 00:39:08,430
  4083. Well, I don't eat bacon because
  4084. I know where it come from.
  4085.  
  4086. 786
  4087. 00:39:08,471 --> 00:39:11,267
  4088. When they die,
  4089. they go into a box,
  4090.  
  4091. 787
  4092. 00:39:11,308 --> 00:39:15,395
  4093. and they decompose because
  4094. they swell from the heat.
  4095.  
  4096. 788
  4097. 00:39:15,437 --> 00:39:18,023
  4098. A truck come and pick 'em up,
  4099.  
  4100. 789
  4101. 00:39:18,065 --> 00:39:20,817
  4102. take 'em to the processing
  4103. plant in Rose Hill,
  4104.  
  4105. 790
  4106. 00:39:20,859 --> 00:39:25,697
  4107. ground 'em up into feed,
  4108. and feed it back to the hogs.
  4109.  
  4110. 791
  4111. 00:39:25,739 --> 00:39:27,199
  4112. If I come out this door,
  4113.  
  4114. 792
  4115. 00:39:27,241 --> 00:39:28,885
  4116. if he's spraying there,
  4117. it's gonna come in my face.
  4118.  
  4119. 793
  4120. 00:39:28,909 --> 00:39:30,452
  4121. It hits you right in the face.
  4122.  
  4123. 794
  4124. 00:39:30,493 --> 00:39:32,346
  4125. Smell like something that you
  4126. have never smelled before.
  4127.  
  4128. 795
  4129. 00:39:32,370 --> 00:39:34,831
  4130. Smell worse than a dead body.
  4131.  
  4132. 796
  4133. 00:39:34,873 --> 00:39:36,917
  4134. That's the family graveyard.
  4135.  
  4136. 797
  4137. 00:39:36,959 --> 00:39:41,171
  4138. And I have
  4139. my grandmother out there,
  4140. my sisters, my brothers.
  4141.  
  4142. 798
  4143. 00:39:41,213 --> 00:39:43,715
  4144. When we go to a funeral,
  4145. he use the spray.
  4146.  
  4147. 799
  4148. 00:39:43,757 --> 00:39:45,759
  4149. - During the funeral?
  4150. - During the funeral, yes.
  4151.  
  4152. 800
  4153. 00:39:45,801 --> 00:39:49,596
  4154. During the funeral.
  4155. Yeah, they spray.
  4156.  
  4157. 801
  4158. 00:39:49,638 --> 00:39:52,641
  4159. And when the people come,
  4160. everybody be
  4161. closing their nose up
  4162.  
  4163. 802
  4164. 00:39:52,682 --> 00:39:53,934
  4165. saying how it stink.
  4166.  
  4167. 803
  4168. 00:39:53,976 --> 00:39:56,979
  4169. They can want a cookout
  4170. on Sunday, he'll spray.
  4171.  
  4172. 804
  4173. 00:39:57,020 --> 00:39:58,480
  4174. Do you think he does it on
  4175. purpose?
  4176.  
  4177. 805
  4178. 00:39:58,521 --> 00:39:59,982
  4179. I think so.
  4180.  
  4181. 806
  4182. 00:40:00,023 --> 00:40:03,568
  4183. 'Cause he just sprays Sunday.
  4184. He always sprays Sunday.
  4185.  
  4186. 807
  4187. 00:40:03,610 --> 00:40:07,364
  4188. And in most of these area,
  4189. hog houses and turkey house,
  4190.  
  4191. 808
  4192. 00:40:07,405 --> 00:40:10,867
  4193. it's in a black area
  4194. or the Hispanic area.
  4195.  
  4196. 809
  4197. 00:40:10,909 --> 00:40:12,410
  4198. It's either or.
  4199.  
  4200. 810
  4201. 00:40:12,452 --> 00:40:14,496
  4202. Do you think it's
  4203. also a civil rights issue?
  4204.  
  4205. 811
  4206. 00:40:14,537 --> 00:40:17,040
  4207. Yes, yes, I do.
  4208.  
  4209. 812
  4210. 00:40:17,082 --> 00:40:18,208
  4211. Yes, I do.
  4212.  
  4213. 813
  4214. 00:40:24,714 --> 00:40:28,344
  4215. There have been times
  4216. in the past that I have
  4217.  
  4218. 814
  4219. 00:40:28,385 --> 00:40:31,805
  4220. gotten ready on a Sunday
  4221. and gotten ready
  4222. to go to church
  4223.  
  4224. 815
  4225. 00:40:31,847 --> 00:40:34,641
  4226. and come out
  4227. and the smell was so strong
  4228.  
  4229. 816
  4230. 00:40:34,683 --> 00:40:37,686
  4231. that I had to go back
  4232. and regroup because
  4233.  
  4234. 817
  4235. 00:40:37,727 --> 00:40:41,064
  4236. it had got in my clothes,
  4237. and I just couldn't
  4238. go to church
  4239.  
  4240. 818
  4241. 00:40:41,106 --> 00:40:43,608
  4242. smelling like hogs, you know,
  4243. I just couldn't do it,
  4244.  
  4245. 819
  4246. 00:40:43,650 --> 00:40:47,112
  4247. so I don't think
  4248. the government cares.
  4249.  
  4250. 820
  4251. 00:40:47,154 --> 00:40:49,323
  4252. They care more about
  4253.  
  4254. 821
  4255. 00:40:49,365 --> 00:40:53,327
  4256. corporations than they
  4257. do peoples, individuals.
  4258.  
  4259. 822
  4260. 00:40:53,369 --> 00:40:55,495
  4261. They're gonna put
  4262. more chickens in this state.
  4263.  
  4264. 823
  4265. 00:40:55,537 --> 00:40:57,497
  4266. This is the feces and
  4267. urine capital of the world
  4268.  
  4269. 824
  4270. 00:40:57,539 --> 00:41:00,083
  4271. right here in North Carolina,
  4272. my state.
  4273.  
  4274. 825
  4275. 00:41:00,125 --> 00:41:02,669
  4276. Look, there's a
  4277. blue-line stream right here
  4278.  
  4279. 826
  4280. 00:41:02,711 --> 00:41:05,648
  4281. comes right across into my
  4282. property almost and the
  4283. Contentnea Creek right there.
  4284.  
  4285. 827
  4286. 00:41:05,672 --> 00:41:10,052
  4287. I've seen that blue-line
  4288. stream now filled with feces
  4289. and urine from that hog pen,
  4290.  
  4291. 828
  4292. 00:41:10,093 --> 00:41:12,262
  4293. and they can say,
  4294. "Well, we feed the world."
  4295.  
  4296. 829
  4297. 00:41:12,304 --> 00:41:15,200
  4298. They're not interested in
  4299. feeding the world, they're
  4300. interested in making money.
  4301.  
  4302. 830
  4303. 00:41:15,224 --> 00:41:18,310
  4304. You take the money
  4305. away from them,
  4306. they'll let the folks starve.
  4307.  
  4308. 831
  4309. 00:41:18,352 --> 00:41:21,122
  4310. 'Cause if you want to feed the
  4311. world, you can feed the world
  4312. with more corn,
  4313.  
  4314. 832
  4315. 00:41:21,146 --> 00:41:23,648
  4316. using corn and wheat
  4317. and stuff like that
  4318. than you can meat.
  4319.  
  4320. 833
  4321. 00:41:23,690 --> 00:41:25,359
  4322. Meat is a luxury item.
  4323.  
  4324. 834
  4325. 00:41:25,401 --> 00:41:29,571
  4326. When we are doing things
  4327. that hurt other people,
  4328. we are wrong.
  4329.  
  4330. 835
  4331. 00:41:29,612 --> 00:41:32,949
  4332. But, a lot of good people
  4333. will sit there and eat bacon
  4334.  
  4335. 836
  4336. 00:41:32,991 --> 00:41:37,329
  4337. knowing that it's
  4338. causing someone else
  4339. to be very unhappy.
  4340.  
  4341. 837
  4342. 00:41:40,165 --> 00:41:41,875
  4343. [Kip] I woke up
  4344. the next morning to find
  4345.  
  4346. 838
  4347. 00:41:41,917 --> 00:41:44,461
  4348. the Burnt River
  4349. had experienced
  4350. another massive fish kill
  4351.  
  4352. 839
  4353. 00:41:44,502 --> 00:41:47,172
  4354. from the pollution running
  4355. off hog farms.
  4356.  
  4357. 840
  4358. 00:41:47,214 --> 00:41:50,426
  4359. Tens of thousands of fish
  4360. were washing up on shore.
  4361.  
  4362. 841
  4363. 00:41:51,593 --> 00:41:53,095
  4364. All this talk about health,
  4365.  
  4366. 842
  4367. 00:41:53,136 --> 00:41:56,056
  4368. I realized that I was only
  4369. focused on personal health.
  4370.  
  4371. 843
  4372. 00:41:56,098 --> 00:41:58,558
  4373. But, health started to
  4374. mean so much more to me.
  4375.  
  4376. 844
  4377. 00:41:58,600 --> 00:42:01,311
  4378. It was about health of my
  4379. family and our communities.
  4380.  
  4381. 845
  4382. 00:42:01,353 --> 00:42:02,771
  4383. I couldn't under good conscience
  4384.  
  4385. 846
  4386. 00:42:02,812 --> 00:42:05,065
  4387. support an industry that
  4388. I knew was harming others.
  4389.  
  4390. 847
  4391. 00:42:07,567 --> 00:42:09,236
  4392. Pollution from
  4393. animal agriculture
  4394.  
  4395. 848
  4396. 00:42:09,278 --> 00:42:11,654
  4397. isn't just an issue in
  4398. North Carolina, though.
  4399.  
  4400. 849
  4401. 00:42:11,696 --> 00:42:14,366
  4402. Raising animals for food
  4403. produces more greenhouse gases
  4404.  
  4405. 850
  4406. 00:42:14,408 --> 00:42:16,826
  4407. than the entire
  4408. transportation sector.
  4409.  
  4410. 851
  4411. 00:42:16,868 --> 00:42:18,995
  4412. It is a leading cause of
  4413. rainforest destruction,
  4414.  
  4415. 852
  4416. 00:42:19,037 --> 00:42:23,083
  4417. species extinction,
  4418. ocean dead zones
  4419. and freshwater consumption.
  4420.  
  4421. 853
  4422. 00:42:28,630 --> 00:42:32,342
  4423. American Diabetes Association
  4424. actually finally got back,
  4425.  
  4426. 854
  4427. 00:42:32,384 --> 00:42:35,637
  4428. and they agreed to an interview.
  4429.  
  4430. 855
  4431. 00:42:35,678 --> 00:42:38,432
  4432. Preparing for the American
  4433. Diabetes Association interview,
  4434.  
  4435. 856
  4436. 00:42:38,474 --> 00:42:41,810
  4437. I took a look at their
  4438. diabetes diet meal
  4439. plan recommendations,
  4440.  
  4441. 857
  4442. 00:42:41,851 --> 00:42:46,189
  4443. and they were loaded
  4444. with foods associated
  4445. with causing diabetes.
  4446.  
  4447. 858
  4448. 00:42:46,231 --> 00:42:48,608
  4449. How could they expect
  4450. people not to get diabetes
  4451.  
  4452. 859
  4453. 00:42:48,650 --> 00:42:51,611
  4454. if this was the food
  4455. they were recommending?
  4456.  
  4457. 860
  4458. 00:42:51,653 --> 00:42:54,406
  4459. And then, I saw multiple
  4460. peer-reviewed studies
  4461.  
  4462. 861
  4463. 00:42:54,448 --> 00:42:56,658
  4464. published on the National
  4465. Institute of Health website
  4466.  
  4467. 862
  4468. 00:42:56,699 --> 00:42:58,618
  4469. showing that a low-fat
  4470. plant-based diet
  4471.  
  4472. 863
  4473. 00:42:58,660 --> 00:43:00,870
  4474. was more than twice as
  4475. powerful at controlling
  4476.  
  4477. 864
  4478. 00:43:00,912 --> 00:43:03,039
  4479. and even reversing diabetes
  4480.  
  4481. 865
  4482. 00:43:03,081 --> 00:43:05,875
  4483. than the ADA recommended diet
  4484. that included meat and dairy.
  4485.  
  4486. 866
  4487. 00:43:07,419 --> 00:43:11,631
  4488. The mission of the American
  4489. Diabetes Association is
  4490.  
  4491. 867
  4492. 00:43:11,673 --> 00:43:17,679
  4493. to identify a prevention
  4494. and a cure for diabetes.
  4495.  
  4496. 868
  4497. 00:43:17,720 --> 00:43:21,266
  4498. But, in the meantime,
  4499. to improve
  4500. the lives of all people
  4501.  
  4502. 869
  4503. 00:43:21,308 --> 00:43:23,560
  4504. who are affected by diabetes.
  4505.  
  4506. 870
  4507. 00:43:23,601 --> 00:43:28,231
  4508. And what's the best way
  4509. to prevent this?
  4510.  
  4511. 871
  4512. 00:43:28,273 --> 00:43:31,485
  4513. For type two diabetes,
  4514. it's unclear.
  4515.  
  4516. 872
  4517. 00:43:31,527 --> 00:43:35,531
  4518. We can't prevent type two
  4519. diabetes in everybody.
  4520.  
  4521. 873
  4522. 00:43:35,572 --> 00:43:39,909
  4523. We were doing research,
  4524. we came across a lot
  4525. of studies that said
  4526.  
  4527. 874
  4528. 00:43:39,951 --> 00:43:44,039
  4529. that you actually could
  4530. potentially cure
  4531.  
  4532. 875
  4533. 00:43:44,080 --> 00:43:47,959
  4534. or reverse diabetes with
  4535. a purely plant-based diet.
  4536.  
  4537. 876
  4538. 00:43:48,001 --> 00:43:53,006
  4539. I don't believe there's
  4540. sufficient evidence to
  4541. demonstrate that.
  4542.  
  4543. 877
  4544. 00:43:53,048 --> 00:43:57,010
  4545. How does it compare to the
  4546. ADA diet that you recommend?
  4547.  
  4548. 878
  4549. 00:43:57,052 --> 00:44:01,515
  4550. We don't recommend
  4551. a specific diet,
  4552. we recommend healthy eating.
  4553.  
  4554. 879
  4555. 00:44:01,557 --> 00:44:02,849
  4556. The one that's on the website.
  4557.  
  4558. 880
  4559. 00:44:02,891 --> 00:44:04,642
  4560. We recommend healthy eating.
  4561.  
  4562. 881
  4563. 00:44:05,101 --> 00:44:06,311
  4564. There is...
  4565.  
  4566. 882
  4567. 00:44:06,353 --> 00:44:10,773
  4568. Do you have a whole
  4569. list of exact day-to-day,
  4570.  
  4571. 883
  4572. 00:44:10,815 --> 00:44:12,442
  4573. the meal plan,
  4574. the whole meal plan?
  4575.  
  4576. 884
  4577. 00:44:12,484 --> 00:44:15,653
  4578. All they are are selections
  4579. of foods to consider.
  4580.  
  4581. 885
  4582. 00:44:15,695 --> 00:44:17,947
  4583. We do not have a diabetes diet.
  4584.  
  4585. 886
  4586. 00:44:17,989 --> 00:44:20,409
  4587. But, with that, selections
  4588. that you consider,
  4589.  
  4590. 887
  4591. 00:44:20,450 --> 00:44:25,080
  4592. that plan compared to
  4593. an all plant-based plan.
  4594.  
  4595. 888
  4596. 00:44:25,121 --> 00:44:27,207
  4597. No one's done that study.
  4598.  
  4599. 889
  4600. 00:44:27,249 --> 00:44:29,418
  4601. We found, actually,
  4602. some studies.
  4603.  
  4604. 890
  4605. 00:44:29,459 --> 00:44:34,797
  4606. A 74-week study found
  4607. that low-fat vegan diet
  4608. versus the ADA plan,
  4609.  
  4610. 891
  4611. 00:44:34,839 --> 00:44:35,882
  4612. in type two diabetes...
  4613.  
  4614. 892
  4615. 00:44:35,924 --> 00:44:37,300
  4616. I think we're done here.
  4617.  
  4618. 893
  4619. 00:44:37,342 --> 00:44:40,011
  4620. I'm not gonna get into
  4621. an argument about...
  4622.  
  4623. 894
  4624. 00:44:40,053 --> 00:44:43,390
  4625. Oh, no, I just wanted
  4626. the studies of,
  4627.  
  4628. 895
  4629. 00:44:43,432 --> 00:44:46,893
  4630. if this is true or,
  4631. if it shows that.
  4632.  
  4633. 896
  4634. 00:44:46,935 --> 00:44:48,770
  4635. Any diet works.
  4636.  
  4637. 897
  4638. 00:44:50,522 --> 00:44:54,568
  4639. Any diet works
  4640. if people follow it.
  4641.  
  4642. 898
  4643. 00:44:54,610 --> 00:44:58,113
  4644. But, if it's a diet
  4645. that's not the proper diet,
  4646.  
  4647. 899
  4648. 00:44:58,154 --> 00:45:00,616
  4649. like if anyone follows a diet
  4650. that they eat McDonald's...
  4651.  
  4652. 900
  4653. 00:45:00,657 --> 00:45:03,493
  4654. I can't tell you
  4655. what a proper diet is.
  4656.  
  4657. 901
  4658. 00:45:03,535 --> 00:45:06,538
  4659. I can tell you
  4660. what an improper diet is.
  4661.  
  4662. 902
  4663. 00:45:06,580 --> 00:45:10,917
  4664. So, then we can talk
  4665. about the good diets.
  4666. I'm not sure why...
  4667.  
  4668. 903
  4669. 00:45:10,959 --> 00:45:12,461
  4670. I'm not gonna get into that.
  4671.  
  4672. 904
  4673. 00:45:12,502 --> 00:45:14,129
  4674. - Into diet?
  4675. - No.
  4676.  
  4677. 905
  4678. 00:45:14,170 --> 00:45:15,505
  4679. Why not?
  4680.  
  4681. 906
  4682. 00:45:15,547 --> 00:45:17,340
  4683. If that's where you
  4684. want to go with this,
  4685.  
  4686. 907
  4687. 00:45:17,382 --> 00:45:19,759
  4688. I'm sorry,
  4689. I'm not the person that
  4690. you should be talking to.
  4691.  
  4692. 908
  4693. 00:45:19,801 --> 00:45:21,386
  4694. And why is that, though?
  4695.  
  4696. 909
  4697. 00:45:21,428 --> 00:45:23,639
  4698. If that's what you want to
  4699. get into, I'm not the person
  4700.  
  4701. 910
  4702. 00:45:23,680 --> 00:45:25,348
  4703. - you need to be talking to.
  4704. - Into diet?
  4705.  
  4706. 911
  4707. 00:45:25,390 --> 00:45:27,350
  4708. Who do we talk to about diet?
  4709.  
  4710. 912
  4711. 00:45:27,392 --> 00:45:29,352
  4712. You can talk to
  4713. anybody you want.
  4714.  
  4715. 913
  4716. 00:45:29,394 --> 00:45:31,664
  4717. But, that's
  4718. interesting, though,
  4719. why not recommend a diet...
  4720.  
  4721. 914
  4722. 00:45:31,688 --> 00:45:33,440
  4723. Because the data don't
  4724. exist to support it.
  4725.  
  4726. 915
  4727. 00:45:33,482 --> 00:45:36,943
  4728. But, if we see data
  4729. that we looked up,
  4730.  
  4731. 916
  4732. 00:45:36,985 --> 00:45:40,447
  4733. that supports it with
  4734. the NIH, in Europe,
  4735.  
  4736. 917
  4737. 00:45:40,489 --> 00:45:45,494
  4738. the European Association
  4739. of... We're done.
  4740.  
  4741. 918
  4742. 00:45:45,535 --> 00:45:47,430
  4743. We're done. I'm sorry,
  4744. I'm not gonna get into
  4745. that argument with you.
  4746.  
  4747. 919
  4748. 00:45:47,454 --> 00:45:48,746
  4749. No, I'm just wondering,
  4750. but, I...
  4751.  
  4752. 920
  4753. 00:45:48,788 --> 00:45:50,624
  4754. I'm not gonna get into
  4755. the argument with you.
  4756.  
  4757. 921
  4758. 00:45:50,666 --> 00:45:52,167
  4759. Why is it in argument?
  4760.  
  4761. 922
  4762. 00:45:52,208 --> 00:45:55,545
  4763. It's just to talking about
  4764. in European study of diabetes
  4765.  
  4766. 923
  4767. 00:45:55,587 --> 00:45:59,048
  4768. and other places that have
  4769. studies, why...
  4770.  
  4771. 924
  4772. 00:45:59,090 --> 00:46:00,425
  4773. There are lots of studies...
  4774.  
  4775. 925
  4776. 00:46:00,467 --> 00:46:01,735
  4777. Why is it even
  4778. an argument, I guess?
  4779.  
  4780. 926
  4781. 00:46:01,759 --> 00:46:05,305
  4782. There are lots of
  4783. studies in the literature.
  4784.  
  4785. 927
  4786. 00:46:05,347 --> 00:46:11,561
  4787. Many of which have
  4788. never been replicated
  4789. or frankly, are wrong.
  4790.  
  4791. 928
  4792. 00:46:11,603 --> 00:46:14,606
  4793. That's why we do
  4794. peer review, okay?
  4795.  
  4796. 929
  4797. 00:46:14,648 --> 00:46:17,651
  4798. The European Association
  4799. of Study of Diabetes
  4800.  
  4801. 930
  4802. 00:46:17,693 --> 00:46:19,402
  4803. has been peer-reviewed
  4804. or, the...
  4805.  
  4806. 931
  4807. 00:46:19,444 --> 00:46:21,988
  4808. I don't know what study
  4809. you're referring to,
  4810.  
  4811. 932
  4812. 00:46:22,030 --> 00:46:24,324
  4813. and in the absence of being
  4814. able to see that study,
  4815.  
  4816. 933
  4817. 00:46:24,366 --> 00:46:25,617
  4818. I'm not gonna comment.
  4819.  
  4820. 934
  4821. 00:46:25,659 --> 00:46:26,909
  4822. I could show it to you.
  4823.  
  4824. 935
  4825. 00:46:26,951 --> 00:46:28,704
  4826. I'm sorry, I don't
  4827. have the time for that.
  4828.  
  4829. 936
  4830. 00:46:28,745 --> 00:46:32,290
  4831. I just don't understand
  4832. why it's an argument,
  4833. though, or, okay.
  4834.  
  4835. 937
  4836. 00:46:40,173 --> 00:46:41,883
  4837. That was interesting.
  4838.  
  4839. 938
  4840. 00:46:41,924 --> 00:46:45,345
  4841. What he wanted to talk about
  4842. was people living longer
  4843. with diabetes,
  4844.  
  4845. 939
  4846. 00:46:45,387 --> 00:46:48,931
  4847. but, once you mention
  4848. eliminating diabetes
  4849. or, prevention,
  4850.  
  4851. 940
  4852. 00:46:48,973 --> 00:46:51,059
  4853. oh, now you crossed the line.
  4854.  
  4855. 941
  4856. 00:46:51,100 --> 00:46:53,061
  4857. Prevention and cure... Whoa.
  4858.  
  4859. 942
  4860. 00:46:53,102 --> 00:46:55,897
  4861. Let's not go there.
  4862.  
  4863. 943
  4864. 00:46:55,938 --> 00:46:58,900
  4865. [Kip] Not only did Dr. Ratner,
  4866. the chief medical officer
  4867.  
  4868. 944
  4869. 00:46:58,941 --> 00:47:02,571
  4870. of the American Diabetes
  4871. Association not want to
  4872. talk about diet,
  4873.  
  4874. 945
  4875. 00:47:02,612 --> 00:47:04,740
  4876. but, the fact that he had
  4877. such an emotional reaction
  4878.  
  4879. 946
  4880. 00:47:04,781 --> 00:47:07,659
  4881. to my question made it feel
  4882. I was digging into something
  4883.  
  4884. 947
  4885. 00:47:07,701 --> 00:47:09,745
  4886. that he didn't want uncovered.
  4887.  
  4888. 948
  4889. 00:47:09,786 --> 00:47:13,540
  4890. I had always thought
  4891. there was no prevention
  4892. for type one diabetes.
  4893.  
  4894. 949
  4895. 00:47:13,582 --> 00:47:15,584
  4896. But, then,
  4897. I did research and came across
  4898.  
  4899. 950
  4900. 00:47:15,625 --> 00:47:17,669
  4901. countless studies
  4902. referencing the link between
  4903.  
  4904. 951
  4905. 00:47:17,711 --> 00:47:21,297
  4906. exposure to dairy at a young
  4907. age and type one diabetes.
  4908.  
  4909. 952
  4910. 00:47:21,339 --> 00:47:23,675
  4911. [McDougall] This is a food
  4912. made for baby cows.
  4913.  
  4914. 953
  4915. 00:47:23,717 --> 00:47:25,719
  4916. Cow milk protein gets
  4917. into the bloodstream,
  4918.  
  4919. 954
  4920. 00:47:25,761 --> 00:47:27,905
  4921. and the body says, "Hey, this
  4922. isn't supposed to be in
  4923. the bloodstream."
  4924.  
  4925. 955
  4926. 00:47:27,929 --> 00:47:29,847
  4927. It makes antibodies to
  4928. the cow milk protein
  4929.  
  4930. 956
  4931. 00:47:29,889 --> 00:47:33,851
  4932. which then attack the pancreas
  4933. and destroy the pancreas.
  4934.  
  4935. 957
  4936. 00:47:33,893 --> 00:47:37,397
  4937. [Kip] How is this possible
  4938. that ADA wouldn't have this
  4939. forefront on their website?
  4940.  
  4941. 958
  4942. 00:47:37,439 --> 00:47:39,608
  4943. Why wouldn't they be warning
  4944. all parents about this
  4945.  
  4946. 959
  4947. 00:47:39,649 --> 00:47:41,651
  4948. even if there were
  4949. only a slight chance?
  4950.  
  4951. 960
  4952. 00:47:41,693 --> 00:47:43,236
  4953. Why were they
  4954. recommending people
  4955.  
  4956. 961
  4957. 00:47:43,278 --> 00:47:46,239
  4958. to actually eat these
  4959. foods linked to diabetes?
  4960.  
  4961. 962
  4962. 00:47:46,281 --> 00:47:48,324
  4963. It seemed all of the
  4964. large health organizations
  4965.  
  4966. 963
  4967. 00:47:48,366 --> 00:47:50,285
  4968. were encouraging people
  4969. to eat the very foods
  4970.  
  4971. 964
  4972. 00:47:50,326 --> 00:47:53,538
  4973. linked to the diseases
  4974. they're supposed to be
  4975. fighting against.
  4976.  
  4977. 965
  4978. 00:47:53,580 --> 00:47:55,832
  4979. American Heart Association
  4980. promoting beef,
  4981.  
  4982. 966
  4983. 00:47:55,873 --> 00:47:58,543
  4984. American Cancer Society
  4985. promoting processed meat,
  4986.  
  4987. 967
  4988. 00:47:58,585 --> 00:48:00,253
  4989. pink ribbons on dairy products,
  4990.  
  4991. 968
  4992. 00:48:00,295 --> 00:48:04,382
  4993. and bacon-wrapped shrimp on
  4994. American Diabetes Association.
  4995.  
  4996. 969
  4997. 00:48:04,424 --> 00:48:07,552
  4998. And then, it all came together.
  4999.  
  5000. 970
  5001. 00:48:07,594 --> 00:48:08,594
  5002. What if...
  5003.  
  5004. 971
  5005. 00:48:13,224 --> 00:48:14,643
  5006. And there it was.
  5007.  
  5008. 972
  5009. 00:48:14,684 --> 00:48:16,621
  5010. The American Diabetes
  5011. Association was taking money
  5012.  
  5013. 973
  5014. 00:48:16,645 --> 00:48:19,648
  5015. from Dannon, one of the
  5016. world's largest dairy
  5017. yogurt producers.
  5018.  
  5019. 974
  5020. 00:48:19,689 --> 00:48:21,858
  5021. Kraft Foods, makers of
  5022. Velveeta processed cheese,
  5023.  
  5024. 975
  5025. 00:48:21,941 --> 00:48:24,778
  5026. Oscar Meyer processed
  5027. meats, Lunchables
  5028. processed kids' meals,
  5029.  
  5030. 976
  5031. 00:48:24,820 --> 00:48:27,947
  5032. and Bumble Bee Foods,
  5033. makers of processed
  5034. canned meats.
  5035.  
  5036. 977
  5037. 00:48:31,827 --> 00:48:33,787
  5038. American Cancer Society
  5039. was taking money
  5040.  
  5041. 978
  5042. 00:48:33,829 --> 00:48:36,331
  5043. from Tyson, one of the
  5044. world's largest meat producers
  5045.  
  5046. 979
  5047. 00:48:36,372 --> 00:48:40,502
  5048. and Yum! Brand, owner of
  5049. Pizza Hut, KFC and Taco Bell.
  5050.  
  5051. 980
  5052. 00:48:40,543 --> 00:48:43,296
  5053. Susan G. Komen,
  5054. who was supposed to be
  5055. fighting breast cancer,
  5056.  
  5057. 981
  5058. 00:48:43,338 --> 00:48:45,507
  5059. was corporate
  5060. partnering with KFC,
  5061.  
  5062. 982
  5063. 00:48:45,548 --> 00:48:49,260
  5064. Dietz Watson processed
  5065. meats and Yoplait yogurt.
  5066.  
  5067. 983
  5068. 00:48:49,302 --> 00:48:53,139
  5069. And the American Heart
  5070. Association was probably
  5071. the most disturbing of all,
  5072.  
  5073. 984
  5074. 00:48:53,181 --> 00:48:55,057
  5075. taking hundreds
  5076. of thousands of dollars
  5077.  
  5078. 985
  5079. 00:48:55,099 --> 00:48:58,144
  5080. from the beef industry,
  5081. poultry and dairy producers
  5082.  
  5083. 986
  5084. 00:48:58,186 --> 00:49:02,231
  5085. and millions from fast
  5086. food and processed food
  5087. manufacturers.
  5088.  
  5089. 987
  5090. 00:49:04,150 --> 00:49:06,444
  5091. Every single one
  5092. of these organizations
  5093.  
  5094. 988
  5095. 00:49:06,486 --> 00:49:09,113
  5096. was taking money from
  5097. meat and dairy companies
  5098.  
  5099. 989
  5100. 00:49:09,155 --> 00:49:12,116
  5101. that are associated with
  5102. the causes of these diseases.
  5103.  
  5104. 990
  5105. 00:49:12,158 --> 00:49:14,076
  5106. This would be like the
  5107. American Lung Association
  5108.  
  5109. 991
  5110. 00:49:14,118 --> 00:49:17,038
  5111. taking money from
  5112. the tobacco industry.
  5113.  
  5114. 992
  5115. 00:49:17,079 --> 00:49:19,957
  5116. I was sick of
  5117. not getting answers.
  5118.  
  5119. 993
  5120. 00:49:19,999 --> 00:49:23,002
  5121. So, I went to the headquarters
  5122. of these organizations myself.
  5123.  
  5124. 994
  5125. 00:49:23,044 --> 00:49:24,838
  5126. We have to speak
  5127. to someone in person.
  5128.  
  5129. 995
  5130. 00:49:24,880 --> 00:49:27,799
  5131. There's millions of people
  5132. dying from the foods
  5133.  
  5134. 996
  5135. 00:49:27,841 --> 00:49:30,343
  5136. that they are recommending
  5137. people to eat.
  5138.  
  5139. 997
  5140. 00:49:30,385 --> 00:49:35,181
  5141. I wanted to find out why
  5142. Susan G. Komen had accepted
  5143. $35 million from Yoplait,
  5144.  
  5145. 998
  5146. 00:49:35,223 --> 00:49:37,034
  5147. when their products can
  5148. increase a woman's chance
  5149.  
  5150. 999
  5151. 00:49:37,058 --> 00:49:39,853
  5152. of dying from breast cancer 49%,
  5153.  
  5154. 1000
  5155. 00:49:39,895 --> 00:49:42,146
  5156. and ask American Cancer
  5157. Society if taking money
  5158.  
  5159. 1001
  5160. 00:49:42,188 --> 00:49:46,067
  5161. from KFC and Tyson
  5162. was a reason
  5163. they promote eating meat.
  5164.  
  5165. 1002
  5166. 00:49:46,108 --> 00:49:50,613
  5167. But, every one of these
  5168. organizations declined to
  5169. be interviewed.
  5170.  
  5171. 1003
  5172. 00:49:50,655 --> 00:49:53,157
  5173. What's really sad is
  5174. that we cannot trust
  5175.  
  5176. 1004
  5177. 00:49:53,199 --> 00:49:56,578
  5178. information from these
  5179. leading health organizations
  5180.  
  5181. 1005
  5182. 00:49:56,619 --> 00:50:00,122
  5183. like the American Heart
  5184. Association, the American
  5185. Diabetes Association
  5186.  
  5187. 1006
  5188. 00:50:00,164 --> 00:50:03,877
  5189. because they are taking money
  5190. from the very industries
  5191.  
  5192. 1007
  5193. 00:50:03,919 --> 00:50:07,923
  5194. who are causing the problems
  5195. that they're supposed to be
  5196. helping to prevent.
  5197.  
  5198. 1008
  5199. 00:50:07,964 --> 00:50:11,760
  5200. So, that makes the truth
  5201. something that
  5202.  
  5203. 1009
  5204. 00:50:11,801 --> 00:50:14,554
  5205. you are not gonna be hearing,
  5206. as far as nutrition goes,
  5207.  
  5208. 1010
  5209. 00:50:14,596 --> 00:50:16,138
  5210. from these organizations.
  5211.  
  5212. 1011
  5213. 00:50:16,180 --> 00:50:17,783
  5214. Well, that would be the
  5215. end of their funding,
  5216.  
  5217. 1012
  5218. 00:50:17,807 --> 00:50:20,393
  5219. that would be the end
  5220. of their jobs,
  5221. there would be lawsuits
  5222.  
  5223. 1013
  5224. 00:50:20,435 --> 00:50:23,312
  5225. that would bring
  5226. the entire catastrophe
  5227. down upon their heads,
  5228.  
  5229. 1014
  5230. 00:50:23,354 --> 00:50:25,481
  5231. and they would essentially
  5232. disappear as organizations.
  5233.  
  5234. 1015
  5235. 00:50:25,523 --> 00:50:28,944
  5236. This one time I got invited
  5237. to a charity fundraiser
  5238.  
  5239. 1016
  5240. 00:50:28,985 --> 00:50:31,153
  5241. for the American Diabetes
  5242. Association.
  5243.  
  5244. 1017
  5245. 00:50:31,195 --> 00:50:35,867
  5246. I showed up, and they had
  5247. a whole buffet, and it was
  5248. all just animal products.
  5249.  
  5250. 1018
  5251. 00:50:35,909 --> 00:50:39,662
  5252. I remember like a big
  5253. thing of barbecue chicken.
  5254.  
  5255. 1019
  5256. 00:50:39,704 --> 00:50:43,040
  5257. And I was like, I stormed out.
  5258. I said like,
  5259.  
  5260. 1020
  5261. 00:50:44,250 --> 00:50:47,128
  5262. serving chicken
  5263. at a diabetes event
  5264.  
  5265. 1021
  5266. 00:50:47,169 --> 00:50:49,422
  5267. is like serving alcohol
  5268. at an AA meeting.
  5269.  
  5270. 1022
  5271. 00:50:49,464 --> 00:50:52,634
  5272. It doesn't make sense.
  5273.  
  5274. 1023
  5275. 00:50:52,675 --> 00:50:56,053
  5276. [Kip] We had scheduled
  5277. to film an interview
  5278. with a prominent surgeon.
  5279.  
  5280. 1024
  5281. 00:50:56,095 --> 00:50:57,931
  5282. But, before we could get
  5283. inside the building,
  5284.  
  5285. 1025
  5286. 00:50:57,973 --> 00:51:01,142
  5287. the hospital's media
  5288. relations manager stopped us.
  5289.  
  5290. 1026
  5291. 00:51:01,183 --> 00:51:04,479
  5292. Actually I understand that
  5293. Dr... said that you could film
  5294. here today,
  5295.  
  5296. 1027
  5297. 00:51:04,520 --> 00:51:07,690
  5298. but, unfortunately, that's
  5299. not gonna be able to happen.
  5300.  
  5301. 1028
  5302. 00:51:07,732 --> 00:51:10,944
  5303. I know that he advocates for
  5304. patients changing their diets,
  5305.  
  5306. 1029
  5307. 00:51:10,986 --> 00:51:13,529
  5308. but, the hospital makes
  5309. money off these surgeries,
  5310.  
  5311. 1030
  5312. 00:51:13,571 --> 00:51:15,615
  5313. and the reality is,
  5314. he does, too.
  5315.  
  5316. 1031
  5317. 00:51:15,657 --> 00:51:19,118
  5318. So, we can't do
  5319. anything that's gonna
  5320. negatively impact the hospital,
  5321.  
  5322. 1032
  5323. 00:51:19,160 --> 00:51:21,830
  5324. so unfortunately,
  5325. you're not gonna be
  5326. able to film here today.
  5327.  
  5328. 1033
  5329. 00:51:21,871 --> 00:51:23,539
  5330. He said that we could, though.
  5331.  
  5332. 1034
  5333. 00:51:23,581 --> 00:51:25,667
  5334. [Kip] I was sickened
  5335. by how open she was
  5336.  
  5337. 1035
  5338. 00:51:25,708 --> 00:51:30,379
  5339. about the hospital being
  5340. more interested in profits
  5341. than people's health.
  5342.  
  5343. 1036
  5344. 00:51:30,421 --> 00:51:33,299
  5345. But, it wasn't
  5346. just this hospital
  5347. or these organizations.
  5348.  
  5349. 1037
  5350. 00:51:33,341 --> 00:51:36,052
  5351. Even the US government
  5352. is involved, too.
  5353.  
  5354. 1038
  5355. 00:51:36,093 --> 00:51:38,387
  5356. Every five years, the US
  5357. Department of Agriculture
  5358.  
  5359. 1039
  5360. 00:51:38,429 --> 00:51:40,682
  5361. creates dietary guidelines
  5362. for Americans.
  5363.  
  5364. 1040
  5365. 00:51:40,723 --> 00:51:43,643
  5366. The committee who writes
  5367. these guidelines has been
  5368. made up of individuals
  5369.  
  5370. 1041
  5371. 00:51:43,685 --> 00:51:46,479
  5372. who have received money from
  5373. McDonald's, the National
  5374. Dairy Council,
  5375.  
  5376. 1042
  5377. 00:51:46,521 --> 00:51:48,773
  5378. the American Meat Institute,
  5379. the National Dairy Board,
  5380.  
  5381. 1043
  5382. 00:51:48,815 --> 00:51:51,985
  5383. the National Livestock and
  5384. Meat Board, the American
  5385. Egg Board, Dannon,
  5386.  
  5387. 1044
  5388. 00:51:52,027 --> 00:51:55,864
  5389. candy and sugar companies,
  5390. Coca Cola and Anheuser,
  5391. just to name a few.
  5392.  
  5393. 1045
  5394. 00:51:55,905 --> 00:51:58,407
  5395. Which means we are getting
  5396. our dietary recommendations
  5397.  
  5398. 1046
  5399. 00:51:58,449 --> 00:52:00,409
  5400. from the very industries
  5401. that are killing us.
  5402.  
  5403. 1047
  5404. 00:52:00,451 --> 00:52:04,914
  5405. And when they,
  5406. the USDA, makes a pyramid
  5407. or a Power Plate
  5408.  
  5409. 1048
  5410. 00:52:04,956 --> 00:52:07,000
  5411. every five years for
  5412. the American public,
  5413.  
  5414. 1049
  5415. 00:52:07,042 --> 00:52:09,293
  5416. they're gonna guarantee
  5417. that on that plate
  5418.  
  5419. 1050
  5420. 00:52:09,335 --> 00:52:12,088
  5421. are gonna be foods,
  5422. which when consumed,
  5423.  
  5424. 1051
  5425. 00:52:12,129 --> 00:52:16,092
  5426. will result in millions
  5427. of Americans perishing.
  5428.  
  5429. 1052
  5430. 00:52:16,133 --> 00:52:19,512
  5431. The USDA, which is
  5432. supposed to be protecting us,
  5433. has two missions.
  5434.  
  5435. 1053
  5436. 00:52:19,554 --> 00:52:23,140
  5437. It's supposed to protect us,
  5438. and it's supposed to
  5439. protect the producer.
  5440.  
  5441. 1054
  5442. 00:52:23,182 --> 00:52:25,852
  5443. And guess what, when those
  5444. two come head to head,
  5445.  
  5446. 1055
  5447. 00:52:25,894 --> 00:52:27,687
  5448. they usually choose
  5449. the producer.
  5450.  
  5451. 1056
  5452. 00:52:27,729 --> 00:52:30,189
  5453. [Kip] In internal documents
  5454. uncovered by Dr. Greger,
  5455.  
  5456. 1057
  5457. 00:52:30,231 --> 00:52:32,942
  5458. the USDA admitted that eggs
  5459. cannot legally be called
  5460.  
  5461. 1058
  5462. 00:52:32,984 --> 00:52:35,152
  5463. nutritious, low fat,
  5464. part of a balanced diet,
  5465.  
  5466. 1059
  5467. 00:52:35,194 --> 00:52:39,407
  5468. low calorie, healthful,
  5469. healthy, can't say it's
  5470. good for you or, even safe.
  5471.  
  5472. 1060
  5473. 00:52:39,448 --> 00:52:40,909
  5474. Yet they still
  5475. promote these products
  5476.  
  5477. 1061
  5478. 00:52:40,950 --> 00:52:43,953
  5479. to the American people through
  5480. federal checkoff programs.
  5481.  
  5482. 1062
  5483. 00:52:43,995 --> 00:52:45,538
  5484. If you ask somebody
  5485. if they have heard
  5486.  
  5487. 1063
  5488. 00:52:45,580 --> 00:52:47,749
  5489. of a checkoff program,
  5490. the odds are they haven't,
  5491.  
  5492. 1064
  5493. 00:52:47,790 --> 00:52:51,836
  5494. although daily, they
  5495. are seeing the messaging
  5496. that these programs produce.
  5497.  
  5498. 1065
  5499. 00:52:51,878 --> 00:52:53,880
  5500. So, checkoff programs
  5501. are responsible
  5502.  
  5503. 1066
  5504. 00:52:53,922 --> 00:52:57,092
  5505. for the messages that we
  5506. see on TV, on the Internet,
  5507.  
  5508. 1067
  5509. 00:52:57,133 --> 00:52:59,510
  5510. on buzz billboards and
  5511. magazines that say things like,
  5512.  
  5513. 1068
  5514. 00:52:59,552 --> 00:53:02,680
  5515. "Milk, it does a body good,"
  5516. or "milk life.
  5517.  
  5518. 1069
  5519. 00:53:02,722 --> 00:53:05,892
  5520. Beef, it's what's for dinner.
  5521. Pork, be inspired.
  5522.  
  5523. 1070
  5524. 00:53:05,934 --> 00:53:07,602
  5525. The incredible edible egg."
  5526.  
  5527. 1071
  5528. 00:53:07,643 --> 00:53:11,606
  5529. The dairy checkoff
  5530. program gave $12 million
  5531.  
  5532. 1072
  5533. 00:53:11,647 --> 00:53:15,234
  5534. to Domino's to just market
  5535. cheese-heavy product.
  5536.  
  5537. 1073
  5538. 00:53:15,276 --> 00:53:17,112
  5539. And this is the USDA,
  5540. this is the government.
  5541.  
  5542. 1074
  5543. 00:53:17,153 --> 00:53:19,864
  5544. If you've seen those ads
  5545. for the Pizza Hut pizza,
  5546.  
  5547. 1075
  5548. 00:53:19,906 --> 00:53:22,700
  5549. the stuffed crust
  5550. or a pound of cheese.
  5551.  
  5552. 1076
  5553. 00:53:22,742 --> 00:53:26,328
  5554. Those are all government
  5555. advertising schemes
  5556. for the industry.
  5557.  
  5558. 1077
  5559. 00:53:26,370 --> 00:53:31,084
  5560. How can we put more cheese
  5561. on beef? How can we put
  5562. more milk in a coffee?
  5563.  
  5564. 1078
  5565. 00:53:31,126 --> 00:53:34,003
  5566. Things like that
  5567. to just drive consumption
  5568.  
  5569. 1079
  5570. 00:53:34,045 --> 00:53:37,339
  5571. of these just unbelievably
  5572. unhealthful products.
  5573.  
  5574. 1080
  5575. 00:53:37,381 --> 00:53:41,677
  5576. So, McDonald's, for instance,
  5577. has six people staffed
  5578. full-time,
  5579.  
  5580. 1081
  5581. 00:53:41,719 --> 00:53:43,387
  5582. according to records we found,
  5583.  
  5584. 1082
  5585. 00:53:43,429 --> 00:53:46,975
  5586. whose salaries are paid for
  5587. by this government program
  5588.  
  5589. 1083
  5590. 00:53:47,016 --> 00:53:50,061
  5591. but, funded by the producers
  5592. who are regulated by it.
  5593.  
  5594. 1084
  5595. 00:53:50,103 --> 00:53:52,855
  5596. And these six people sit there
  5597. at McDonald's headquarters
  5598.  
  5599. 1085
  5600. 00:53:52,897 --> 00:53:54,941
  5601. and just come up with ideas.
  5602.  
  5603. 1086
  5604. 00:53:56,192 --> 00:54:00,071
  5605. Triple cheese decker
  5606. McCheese muffin
  5607.  
  5608. 1087
  5609. 00:54:00,113 --> 00:54:03,158
  5610. stuffed bacon cheese slider?
  5611.  
  5612. 1088
  5613. 00:54:05,576 --> 00:54:06,911
  5614. With extra cheese?
  5615.  
  5616. 1089
  5617. 00:54:06,953 --> 00:54:08,204
  5618. - Nice!
  5619. - Yes!
  5620.  
  5621. 1090
  5622. 00:54:08,245 --> 00:54:10,832
  5623. You don't think of it
  5624. on a day-to-day basis
  5625.  
  5626. 1091
  5627. 00:54:10,873 --> 00:54:12,625
  5628. that these are
  5629. government programs.
  5630.  
  5631. 1092
  5632. 00:54:12,667 --> 00:54:15,252
  5633. The Wendy's Bacon
  5634. Double Cheeseburger.
  5635.  
  5636. 1093
  5637. 00:54:16,045 --> 00:54:17,922
  5638. Government program.
  5639.  
  5640. 1094
  5641. 00:54:17,964 --> 00:54:19,882
  5642. The steak fajita
  5643. at Dunkin' Donuts.
  5644.  
  5645. 1095
  5646. 00:54:20,633 --> 00:54:22,593
  5647. Government program.
  5648.  
  5649. 1096
  5650. 00:54:22,635 --> 00:54:26,555
  5651. You would just never think
  5652. that this just pure garbage
  5653. from a food standpoint,
  5654.  
  5655. 1097
  5656. 00:54:26,597 --> 00:54:29,475
  5657. is coming from
  5658. a federally-funded program.
  5659.  
  5660. 1098
  5661. 00:54:29,517 --> 00:54:33,312
  5662. That's one of the things
  5663. that makes checkoffs
  5664. so incredibly creepy,
  5665.  
  5666. 1099
  5667. 00:54:33,354 --> 00:54:37,483
  5668. is that it is our government
  5669. telling us eat more beef,
  5670. drink more milk,
  5671.  
  5672. 1100
  5673. 00:54:37,525 --> 00:54:39,902
  5674. eat more cheese, eat more pork.
  5675.  
  5676. 1101
  5677. 00:54:39,944 --> 00:54:42,155
  5678. One of the very effective
  5679. ways that the dairy industry
  5680.  
  5681. 1102
  5682. 00:54:42,197 --> 00:54:46,408
  5683. promotes its products
  5684. is to reach children
  5685.  
  5686. 1103
  5687. 00:54:46,450 --> 00:54:48,494
  5688. because kids are impressionable,
  5689.  
  5690. 1104
  5691. 00:54:48,536 --> 00:54:50,872
  5692. they're gonna be consumers
  5693. for their entire lives,
  5694.  
  5695. 1105
  5696. 00:54:50,913 --> 00:54:52,915
  5697. and you might as well get
  5698. 'em while they're young.
  5699.  
  5700. 1106
  5701. 00:54:52,957 --> 00:54:57,962
  5702. So, dairy spends at least $50
  5703. million promoting its products
  5704. in public schools
  5705.  
  5706. 1107
  5707. 00:54:58,004 --> 00:55:00,589
  5708. throughout the country
  5709. with posters,
  5710.  
  5711. 1108
  5712. 00:55:00,631 --> 00:55:02,967
  5713. with people with milk mustaches
  5714.  
  5715. 1109
  5716. 00:55:03,009 --> 00:55:05,803
  5717. and messages like "Milk,
  5718. it does the body good,"
  5719.  
  5720. 1110
  5721. 00:55:05,845 --> 00:55:07,555
  5722. or "milk life."
  5723.  
  5724. 1111
  5725. 00:55:07,596 --> 00:55:09,932
  5726. Targeting young people,
  5727. like the tobacco industry
  5728.  
  5729. 1112
  5730. 00:55:09,974 --> 00:55:14,270
  5731. had to keep replacing their
  5732. customers who were dying
  5733. with new customers.
  5734.  
  5735. 1113
  5736. 00:55:14,311 --> 00:55:16,939
  5737. Meat industry knows they
  5738. have to target young people.
  5739.  
  5740. 1114
  5741. 00:55:16,981 --> 00:55:18,858
  5742. That's why we have these
  5743. foods in schools
  5744.  
  5745. 1115
  5746. 00:55:18,900 --> 00:55:21,110
  5747. and marketing messages at
  5748. a younger and younger age
  5749.  
  5750. 1116
  5751. 00:55:21,152 --> 00:55:24,321
  5752. for kids to get hooked on
  5753. all the wrong kinds of foods.
  5754.  
  5755. 1117
  5756. 00:55:24,363 --> 00:55:26,115
  5757. So, there's
  5758. all kinds of parallels.
  5759.  
  5760. 1118
  5761. 00:55:26,157 --> 00:55:29,285
  5762. School districts
  5763. where processed meats
  5764. are all over the place,
  5765.  
  5766. 1119
  5767. 00:55:29,326 --> 00:55:33,748
  5768. maybe it's gonna be bacon on
  5769. the menu, sausage, hotdogs
  5770. or pepperoni pizza.
  5771.  
  5772. 1120
  5773. 00:55:33,789 --> 00:55:35,374
  5774. Any of those things
  5775. are processed meats,
  5776.  
  5777. 1121
  5778. 00:55:35,416 --> 00:55:37,668
  5779. and those are pretty much
  5780. the worst of the worst
  5781.  
  5782. 1122
  5783. 00:55:37,710 --> 00:55:39,837
  5784. with a direct link
  5785. to colon cancer.
  5786.  
  5787. 1123
  5788. 00:55:39,879 --> 00:55:44,092
  5789. And yet you have every day in
  5790. the schools meal items with
  5791. processed meats.
  5792.  
  5793. 1124
  5794. 00:55:44,133 --> 00:55:46,094
  5795. [Kip] If the surgeon
  5796. general puts warning labels
  5797.  
  5798. 1125
  5799. 00:55:46,135 --> 00:55:48,179
  5800. on tobacco because of
  5801. their cancer risk,
  5802.  
  5803. 1126
  5804. 00:55:48,221 --> 00:55:52,391
  5805. why aren't the same
  5806. warning labels on meat?
  5807.  
  5808. 1127
  5809. 00:55:52,433 --> 00:55:57,521
  5810. Based on the publicly available
  5811. data, we know they spend at
  5812. least $557 million
  5813.  
  5814. 1128
  5815. 00:55:57,563 --> 00:55:59,857
  5816. promoting their goods
  5817. through checkoff programs.
  5818.  
  5819. 1129
  5820. 00:55:59,899 --> 00:56:04,153
  5821. We know that they spend
  5822. at least $138 million
  5823. lobbying Congress.
  5824.  
  5825. 1130
  5826. 00:56:04,195 --> 00:56:06,530
  5827. We expect that they spend
  5828. a good deal more than that
  5829.  
  5830. 1131
  5831. 00:56:06,572 --> 00:56:09,284
  5832. in figures that simply
  5833. aren't publicly disclosed.
  5834.  
  5835. 1132
  5836. 00:56:09,325 --> 00:56:11,327
  5837. [Kip] The industry's
  5838. lobbying power is so strong
  5839.  
  5840. 1133
  5841. 00:56:11,368 --> 00:56:13,471
  5842. that they can create laws
  5843. and push through legislation
  5844.  
  5845. 1134
  5846. 00:56:13,495 --> 00:56:15,998
  5847. that doesn't benefit
  5848. Americans in any way,
  5849.  
  5850. 1135
  5851. 00:56:16,040 --> 00:56:18,667
  5852. such as ag-gag laws that
  5853. criminalize whistle-blowing
  5854.  
  5855. 1136
  5856. 00:56:18,709 --> 00:56:21,045
  5857. or photographing abuses
  5858. by this industry.
  5859.  
  5860. 1137
  5861. 00:56:21,087 --> 00:56:23,339
  5862. Activists in the US can
  5863. be charged as terrorists
  5864.  
  5865. 1138
  5866. 00:56:23,380 --> 00:56:26,383
  5867. for disrupting
  5868. the profits of any business
  5869. that uses animals,
  5870.  
  5871. 1139
  5872. 00:56:26,425 --> 00:56:30,805
  5873. under the Animal Enterprise
  5874. Terrorism Act, to the
  5875. even more ridiculous ones like
  5876.  
  5877. 1140
  5878. 00:56:30,846 --> 00:56:33,141
  5879. cheeseburger laws.
  5880.  
  5881. 1141
  5882. 00:56:33,182 --> 00:56:36,560
  5883. A cheeseburger law
  5884. is a law that says
  5885. a plaintiff cannot recover
  5886.  
  5887. 1142
  5888. 00:56:36,602 --> 00:56:39,355
  5889. against a manufacturer,
  5890. distributor or, retailer,
  5891.  
  5892. 1143
  5893. 00:56:39,396 --> 00:56:42,775
  5894. on the theory that the food
  5895. made the plaintiff obese
  5896.  
  5897. 1144
  5898. 00:56:42,817 --> 00:56:45,778
  5899. or caused
  5900. an obesity related disease.
  5901.  
  5902. 1145
  5903. 00:56:45,820 --> 00:56:48,697
  5904. Cheeseburger laws
  5905. are a direct response
  5906.  
  5907. 1146
  5908. 00:56:48,739 --> 00:56:51,909
  5909. to a problem that the
  5910. tobacco industry has had.
  5911.  
  5912. 1147
  5913. 00:56:51,951 --> 00:56:56,497
  5914. Big Tobacco has paid
  5915. $400 billion to state
  5916. Medicaid programs.
  5917.  
  5918. 1148
  5919. 00:56:56,538 --> 00:56:58,707
  5920. Cheeseburger laws
  5921. proponents say,
  5922.  
  5923. 1149
  5924. 00:56:58,749 --> 00:57:00,835
  5925. "We don't want to see the
  5926. same kind of thing happen
  5927.  
  5928. 1150
  5929. 00:57:00,876 --> 00:57:02,461
  5930. "to the meat
  5931. and dairy industries."
  5932.  
  5933. 1151
  5934. 00:57:02,503 --> 00:57:05,089
  5935. The fact that these laws are
  5936. based on a model template
  5937.  
  5938. 1152
  5939. 00:57:05,131 --> 00:57:07,466
  5940. called a Commonsense
  5941. Consumption Act
  5942.  
  5943. 1153
  5944. 00:57:07,508 --> 00:57:10,345
  5945. is actually ironic because
  5946. what they're saying is
  5947.  
  5948. 1154
  5949. 00:57:10,386 --> 00:57:12,471
  5950. you, the consumer, should
  5951. have the common sense
  5952.  
  5953. 1155
  5954. 00:57:12,513 --> 00:57:15,308
  5955. to know that
  5956. our food is bad for you.
  5957.  
  5958. 1156
  5959. 00:57:15,350 --> 00:57:18,936
  5960. I've often typified the
  5961. meat industry to people who
  5962.  
  5963. 1157
  5964. 00:57:18,978 --> 00:57:21,647
  5965. maybe don't understand
  5966. its power and reach,
  5967.  
  5968. 1158
  5969. 00:57:21,689 --> 00:57:25,901
  5970. as it's got all the money of
  5971. Big Tobacco and Big Pharma,
  5972.  
  5973. 1159
  5974. 00:57:25,943 --> 00:57:29,530
  5975. and it has the personality of
  5976. the National Rifle Association.
  5977.  
  5978. 1160
  5979. 00:57:29,571 --> 00:57:34,994
  5980. So, any little thing
  5981. that comes up, man,
  5982. they beat it to death.
  5983.  
  5984. 1161
  5985. 00:57:35,036 --> 00:57:37,079
  5986. [Kip] Robert Martin
  5987. wasn't exaggerating.
  5988.  
  5989. 1162
  5990. 00:57:37,121 --> 00:57:39,248
  5991. When the profits of the egg
  5992. industry were threatened
  5993.  
  5994. 1163
  5995. 00:57:39,290 --> 00:57:41,750
  5996. by egg alternative company
  5997. Hampton Creek Foods,
  5998.  
  5999. 1164
  6000. 00:57:41,792 --> 00:57:45,921
  6001. extremely disturbing emails
  6002. were uncovered by Ryan
  6003. Shapiro and Jeffrey Light.
  6004.  
  6005. 1165
  6006. 00:57:45,963 --> 00:57:49,050
  6007. We uncovered
  6008. documents demonstrating
  6009. the American Egg Board
  6010.  
  6011. 1166
  6012. 00:57:49,091 --> 00:57:52,845
  6013. considers Hampton Creek, quote
  6014. "a crisis and major threat
  6015.  
  6016. 1167
  6017. 00:57:52,887 --> 00:57:55,014
  6018. "to the future of the
  6019. American egg industry."
  6020.  
  6021. 1168
  6022. 00:57:55,056 --> 00:57:57,183
  6023. The American Egg Board
  6024. considers a successful
  6025.  
  6026. 1169
  6027. 00:57:57,225 --> 00:57:59,852
  6028. egg replacer company
  6029. to be such a threat
  6030.  
  6031. 1170
  6032. 00:57:59,894 --> 00:58:02,688
  6033. that they joke on their
  6034. government email addresses
  6035.  
  6036. 1171
  6037. 00:58:02,730 --> 00:58:05,024
  6038. about murdering the CEO.
  6039.  
  6040. 1172
  6041. 00:58:05,066 --> 00:58:08,361
  6042. [Kip] In internal government
  6043. emails with the heads of
  6044. the egg industry,
  6045.  
  6046. 1173
  6047. 00:58:08,403 --> 00:58:13,366
  6048. they suggest having the
  6049. CEO of Hampton Creek,
  6050. Josh Tetrick, murdered,
  6051.  
  6052. 1174
  6053. 00:58:13,408 --> 00:58:17,494
  6054. including a menacing email
  6055. from executive director
  6056. of the American Egg Board.
  6057.  
  6058. 1175
  6059. 00:58:23,042 --> 00:58:25,420
  6060. The meat producers
  6061. don't have to pay for
  6062.  
  6063. 1176
  6064. 00:58:25,461 --> 00:58:28,881
  6065. the heart disease or
  6066. the environmental destruction
  6067.  
  6068. 1177
  6069. 00:58:28,923 --> 00:58:33,135
  6070. or any of the other
  6071. externalities, as economists
  6072. call them,
  6073.  
  6074. 1178
  6075. 00:58:33,177 --> 00:58:35,763
  6076. that their products cause.
  6077.  
  6078. 1179
  6079. 00:58:35,804 --> 00:58:38,433
  6080. Then there's a whole
  6081. pharmaceutical aspect of it
  6082.  
  6083. 1180
  6084. 00:58:38,474 --> 00:58:41,185
  6085. and the fact that
  6086. there's a very strong
  6087. pharmaceutical industry
  6088.  
  6089. 1181
  6090. 00:58:41,227 --> 00:58:45,022
  6091. and lobby that has
  6092. a huge stake in
  6093. preserving the status quo.
  6094.  
  6095. 1182
  6096. 00:58:45,064 --> 00:58:46,482
  6097. These chronic diseases,
  6098.  
  6099. 1183
  6100. 00:58:46,523 --> 00:58:49,277
  6101. these are the cash cows of
  6102. the pharmaceutical industry.
  6103.  
  6104. 1184
  6105. 00:58:49,318 --> 00:58:53,572
  6106. We have a $5 billion stent
  6107. industry. Do they ever want
  6108. to see that go away?
  6109.  
  6110. 1185
  6111. 00:58:53,614 --> 00:58:56,492
  6112. We've got a $35 billion
  6113. statin drug industry.
  6114.  
  6115. 1186
  6116. 00:58:56,533 --> 00:58:58,119
  6117. Do they ever want
  6118. to see that go away?
  6119.  
  6120. 1187
  6121. 00:58:58,160 --> 00:58:59,954
  6122. I'm talking about the
  6123. pharmaceutical industry
  6124.  
  6125. 1188
  6126. 00:58:59,995 --> 00:59:02,790
  6127. effectively controls
  6128. what doctors are told.
  6129.  
  6130. 1189
  6131. 00:59:02,831 --> 00:59:05,167
  6132. Most research isn't
  6133. put into prevention.
  6134.  
  6135. 1190
  6136. 00:59:05,209 --> 00:59:08,212
  6137. It's put into the medication
  6138. that we might use
  6139.  
  6140. 1191
  6141. 00:59:08,254 --> 00:59:10,298
  6142. for that particular disease.
  6143.  
  6144. 1192
  6145. 00:59:10,339 --> 00:59:13,968
  6146. I'm on two different
  6147. high blood pressure medicines.
  6148.  
  6149. 1193
  6150. 00:59:14,009 --> 00:59:16,512
  6151. Six asthma type medicines.
  6152.  
  6153. 1194
  6154. 00:59:16,553 --> 00:59:19,848
  6155. Even after four years of shots.
  6156.  
  6157. 1195
  6158. 00:59:19,890 --> 00:59:21,892
  6159. And another medicine
  6160. to help take care
  6161.  
  6162. 1196
  6163. 00:59:21,934 --> 00:59:24,686
  6164. of side effects from some
  6165. of those medicines.
  6166.  
  6167. 1197
  6168. 00:59:24,728 --> 00:59:28,483
  6169. I'm on high level
  6170. anti-depressants.
  6171.  
  6172. 1198
  6173. 00:59:28,524 --> 00:59:32,487
  6174. A couple of different pain meds
  6175. for my back and hips.
  6176.  
  6177. 1199
  6178. 00:59:32,528 --> 00:59:34,947
  6179. I'm taking about 16 drugs.
  6180.  
  6181. 1200
  6182. 00:59:34,989 --> 00:59:37,699
  6183. Not counting the insulin
  6184. in the morning.
  6185.  
  6186. 1201
  6187. 00:59:37,741 --> 00:59:42,497
  6188. I take insulin in the morning,
  6189. insulin at night, 32-34 units,
  6190.  
  6191. 1202
  6192. 00:59:43,414 --> 00:59:44,999
  6193. of insulin.
  6194.  
  6195. 1203
  6196. 00:59:45,040 --> 00:59:47,001
  6197. Lantus to be exact.
  6198.  
  6199. 1204
  6200. 00:59:47,042 --> 00:59:50,254
  6201. Some of these meds
  6202. are for diabetes.
  6203.  
  6204. 1205
  6205. 00:59:50,296 --> 00:59:51,797
  6206. This is for peeing.
  6207.  
  6208. 1206
  6209. 00:59:51,839 --> 00:59:54,342
  6210. I have to use this
  6211. for my prostrate.
  6212.  
  6213. 1207
  6214. 00:59:54,383 --> 00:59:56,802
  6215. And then I have to
  6216. use this for the heart.
  6217.  
  6218. 1208
  6219. 00:59:56,844 --> 00:59:59,680
  6220. And I have to use this
  6221. for blood pressure.
  6222.  
  6223. 1209
  6224. 00:59:59,721 --> 01:00:03,642
  6225. And it's just on and on and on.
  6226.  
  6227. 1210
  6228. 01:00:03,684 --> 01:00:06,521
  6229. The doctors are telling me
  6230. this is what I gotta do
  6231. for my whole life.
  6232.  
  6233. 1211
  6234. 01:00:06,562 --> 01:00:10,525
  6235. And it's frustrating
  6236. and very stressful.
  6237.  
  6238. 1212
  6239. 01:00:10,566 --> 01:00:13,902
  6240. And I don't know how long
  6241. my liver is gonna last
  6242. taking all this stuff.
  6243.  
  6244. 1213
  6245. 01:00:13,944 --> 01:00:17,239
  6246. Under conventional medical
  6247. treatment, whether it be for
  6248. autoimmune disease
  6249.  
  6250. 1214
  6251. 01:00:17,281 --> 01:00:20,617
  6252. or even conditions like high
  6253. blood pressure or, diabetes,
  6254.  
  6255. 1215
  6256. 01:00:20,659 --> 01:00:23,204
  6257. you're told that
  6258. you have to take drugs.
  6259.  
  6260. 1216
  6261. 01:00:23,245 --> 01:00:25,789
  6262. And not just for a week
  6263. or a month or, a year,
  6264.  
  6265. 1217
  6266. 01:00:25,831 --> 01:00:28,543
  6267. you're told you have
  6268. to take drugs forever.
  6269.  
  6270. 1218
  6271. 01:00:28,584 --> 01:00:31,837
  6272. You're guaranteed that if you
  6273. follow your doctor's advice,
  6274.  
  6275. 1219
  6276. 01:00:31,879 --> 01:00:33,255
  6277. you'll be sick forever.
  6278.  
  6279. 1220
  6280. 01:00:33,297 --> 01:00:35,216
  6281. You'll never get well.
  6282.  
  6283. 1221
  6284. 01:00:35,257 --> 01:00:37,009
  6285. That's the guarantee.
  6286.  
  6287. 1222
  6288. 01:00:37,051 --> 01:00:40,971
  6289. Because the strategies are
  6290. all about manipulating
  6291. the symptoms,
  6292.  
  6293. 1223
  6294. 01:00:41,013 --> 01:00:42,723
  6295. not dealing with
  6296. the underlying cause.
  6297.  
  6298. 1224
  6299. 01:00:42,764 --> 01:00:45,351
  6300. You come in
  6301. with that diagnosis,
  6302. you get a bunch of pills
  6303.  
  6304. 1225
  6305. 01:00:45,393 --> 01:00:47,686
  6306. that have nothing to do
  6307. with the disease causation.
  6308.  
  6309. 1226
  6310. 01:00:47,728 --> 01:00:51,566
  6311. Or you get these procedures
  6312. that have nothing to do
  6313. with disease causation.
  6314.  
  6315. 1227
  6316. 01:00:51,607 --> 01:00:54,068
  6317. It's a deception to say
  6318. this pill will help you
  6319.  
  6320. 1228
  6321. 01:00:54,109 --> 01:00:57,613
  6322. unclog your arteries, this one
  6323. will save you from a stroke,
  6324. no, it doesn't.
  6325.  
  6326. 1229
  6327. 01:00:57,654 --> 01:00:59,656
  6328. The people who take
  6329. the statins, et cetera,
  6330.  
  6331. 1230
  6332. 01:00:59,698 --> 01:01:02,410
  6333. they still get
  6334. their heart attacks,
  6335. they still get their strokes.
  6336.  
  6337. 1231
  6338. 01:01:02,451 --> 01:01:05,621
  6339. This does not reverse disease.
  6340. This does not make
  6341. plaque smaller.
  6342.  
  6343. 1232
  6344. 01:01:05,662 --> 01:01:08,707
  6345. This is a front
  6346. of massive proportions.
  6347.  
  6348. 1233
  6349. 01:01:08,749 --> 01:01:12,628
  6350. [Kip] In the US, treating
  6351. chronic disease, such as heart
  6352. disease, cancer and diabetes
  6353.  
  6354. 1234
  6355. 01:01:12,669 --> 01:01:16,298
  6356. is a $1.5 trillion industry.
  6357.  
  6358. 1235
  6359. 01:01:16,340 --> 01:01:21,011
  6360. That's the GDP equivalent
  6361. of the 10th richest country
  6362. in the world.
  6363.  
  6364. 1236
  6365. 01:01:21,053 --> 01:01:24,181
  6366. I went back and dug
  6367. deeper into the health
  6368. organizations' funding,
  6369.  
  6370. 1237
  6371. 01:01:24,223 --> 01:01:26,058
  6372. and there it was again.
  6373.  
  6374. 1238
  6375. 01:01:26,100 --> 01:01:28,519
  6376. These organizations were
  6377. accepting millions of dollars
  6378.  
  6379. 1239
  6380. 01:01:28,561 --> 01:01:31,772
  6381. from pharmaceutical
  6382. companies that are making
  6383. billions of dollars
  6384.  
  6385. 1240
  6386. 01:01:31,813 --> 01:01:36,277
  6387. from the very same diseases
  6388. these health groups are
  6389. supposedly trying to end.
  6390.  
  6391. 1241
  6392. 01:01:36,318 --> 01:01:38,487
  6393. It seemed like a major
  6394. conflict of interest,
  6395.  
  6396. 1242
  6397. 01:01:38,529 --> 01:01:41,616
  6398. unless ending these diseases
  6399. isn't really the goal.
  6400.  
  6401. 1243
  6402. 01:01:41,657 --> 01:01:43,576
  6403. The pharmaceutical
  6404. industry spends more money
  6405.  
  6406. 1244
  6407. 01:01:43,618 --> 01:01:46,036
  6408. on lobbying than any
  6409. other single industry.
  6410.  
  6411. 1245
  6412. 01:01:46,078 --> 01:01:47,455
  6413. Just like animal agriculture,
  6414.  
  6415. 1246
  6416. 01:01:47,496 --> 01:01:49,182
  6417. they are so powerful,
  6418. they write their own laws
  6419.  
  6420. 1247
  6421. 01:01:49,206 --> 01:01:52,293
  6422. that have had activists
  6423. imprisoned to silence them.
  6424.  
  6425. 1248
  6426. 01:01:52,334 --> 01:01:54,962
  6427. The government's in bed
  6428. with anyone that gives
  6429. them the most money,
  6430.  
  6431. 1249
  6432. 01:01:55,003 --> 01:01:58,882
  6433. which is the pharmaceutical
  6434. industry, which is
  6435. the animal ag industries,
  6436.  
  6437. 1250
  6438. 01:01:58,924 --> 01:02:00,842
  6439. they are pumping the
  6440. government full of money
  6441.  
  6442. 1251
  6443. 01:02:00,884 --> 01:02:03,614
  6444. and resources, and in return,
  6445. the government's giving
  6446. them want they want.
  6447.  
  6448. 1252
  6449. 01:02:03,638 --> 01:02:07,182
  6450. Subsidies, imprisoning
  6451. activists that go against them,
  6452.  
  6453. 1253
  6454. 01:02:07,224 --> 01:02:09,602
  6455. and I think it's quite
  6456. telling that these industries
  6457.  
  6458. 1254
  6459. 01:02:09,644 --> 01:02:13,021
  6460. are working so hard
  6461. and spending so much money
  6462.  
  6463. 1255
  6464. 01:02:13,063 --> 01:02:15,899
  6465. to criminalize people for
  6466. simply taking a picture,
  6467.  
  6468. 1256
  6469. 01:02:15,941 --> 01:02:18,777
  6470. for simply recording
  6471. what's going on
  6472. inside these facilities
  6473.  
  6474. 1257
  6475. 01:02:18,819 --> 01:02:20,862
  6476. and making it
  6477. known to the public.
  6478.  
  6479. 1258
  6480. 01:02:20,904 --> 01:02:23,240
  6481. They're behind walls,
  6482. they're underground.
  6483.  
  6484. 1259
  6485. 01:02:23,282 --> 01:02:26,201
  6486. They're in these secret
  6487. facilities that no one
  6488. knows about,
  6489.  
  6490. 1260
  6491. 01:02:26,243 --> 01:02:28,496
  6492. but if they did, they would
  6493. be shocked and outraged.
  6494.  
  6495. 1261
  6496. 01:02:28,537 --> 01:02:31,582
  6497. And I think people would
  6498. not want to think that their
  6499.  
  6500. 1262
  6501. 01:02:31,624 --> 01:02:34,293
  6502. pharmaceuticals,
  6503. that their food are coming
  6504. from these places.
  6505.  
  6506. 1263
  6507. 01:02:34,335 --> 01:02:37,672
  6508. And that's why I think it's
  6509. such, the ag-gag laws
  6510. are what they are
  6511.  
  6512. 1264
  6513. 01:02:37,713 --> 01:02:41,049
  6514. is because they are
  6515. trying to silence people
  6516. into not speaking out
  6517.  
  6518. 1265
  6519. 01:02:41,091 --> 01:02:42,843
  6520. and not showing the truth.
  6521.  
  6522. 1266
  6523. 01:02:42,884 --> 01:02:44,970
  6524. [Kip] I finally realized
  6525. how deep the collusion
  6526.  
  6527. 1267
  6528. 01:02:45,012 --> 01:02:47,306
  6529. truly is between government
  6530. and these industries.
  6531.  
  6532. 1268
  6533. 01:02:47,348 --> 01:02:49,558
  6534. And how dangerous
  6535. it could be to expose them.
  6536.  
  6537. 1269
  6538. 01:02:49,600 --> 01:02:52,936
  6539. These concerns intensified
  6540. after meeting the USDA
  6541. whistle-blowerrrr
  6542.  
  6543. 1270
  6544. 01:02:52,978 --> 01:02:55,690
  6545. who revealed mad cow disease
  6546. in the US meat supply.
  6547.  
  6548. 1271
  6549. 01:02:55,731 --> 01:02:57,858
  6550. USDA operates like the military.
  6551.  
  6552. 1272
  6553. 01:02:57,899 --> 01:02:59,818
  6554. So, when I got on TV
  6555. and that right away,
  6556.  
  6557. 1273
  6558. 01:02:59,860 --> 01:03:03,322
  6559. USDA sent out memos to
  6560. all the veterinarians
  6561. and food inspectors,
  6562.  
  6563. 1274
  6564. 01:03:03,364 --> 01:03:07,535
  6565. "If anybody from the media
  6566. ever contacts you,
  6567. do not talk to them.
  6568.  
  6569. 1275
  6570. 01:03:07,576 --> 01:03:10,996
  6571. Refer 'em to Washington DC,
  6572. and we will talk to them."
  6573.  
  6574. 1276
  6575. 01:03:11,038 --> 01:03:13,081
  6576. So, right away,
  6577. it shut up everybody.
  6578.  
  6579. 1277
  6580. 01:03:13,123 --> 01:03:16,084
  6581. American public should be
  6582. very concerned about this.
  6583.  
  6584. 1278
  6585. 01:03:16,126 --> 01:03:18,086
  6586. What's going on with USDA?
  6587.  
  6588. 1279
  6589. 01:03:18,128 --> 01:03:19,630
  6590. Here in the United States,
  6591.  
  6592. 1280
  6593. 01:03:19,672 --> 01:03:22,966
  6594. we have at least four
  6595. cases of mad cow disease,
  6596.  
  6597. 1281
  6598. 01:03:23,008 --> 01:03:25,069
  6599. but, I'm almost positive
  6600. there's more cases than that,
  6601.  
  6602. 1282
  6603. 01:03:25,093 --> 01:03:26,655
  6604. but, the government isn't
  6605. looking for it.
  6606.  
  6607. 1283
  6608. 01:03:26,679 --> 01:03:28,156
  6609. What you're saying
  6610. is that there could be
  6611.  
  6612. 1284
  6613. 01:03:28,180 --> 01:03:30,391
  6614. already mad cow's disease
  6615. in humans.
  6616.  
  6617. 1285
  6618. 01:03:30,432 --> 01:03:32,809
  6619. Right, and I think a lot
  6620. of it was misdiagnosed.
  6621.  
  6622. 1286
  6623. 01:03:32,851 --> 01:03:34,811
  6624. With the Alzheimer's
  6625. or dementia,
  6626.  
  6627. 1287
  6628. 01:03:34,853 --> 01:03:37,189
  6629. it takes several years
  6630. you see the progression,
  6631.  
  6632. 1288
  6633. 01:03:37,231 --> 01:03:39,525
  6634. but, to make it easier, these
  6635. doctors just sign off on it
  6636.  
  6637. 1289
  6638. 01:03:39,567 --> 01:03:41,318
  6639. as dementia or, Alzheimer's
  6640.  
  6641. 1290
  6642. 01:03:41,360 --> 01:03:43,278
  6643. without actually taking
  6644. a biopsy of the brain
  6645.  
  6646. 1291
  6647. 01:03:43,320 --> 01:03:46,741
  6648. to see if it's that or is it
  6649. actually a prion disease
  6650.  
  6651. 1292
  6652. 01:03:46,782 --> 01:03:49,744
  6653. like Creutzfeldt-Jacob
  6654. disease or, mad cow disease.
  6655.  
  6656. 1293
  6657. 01:03:49,785 --> 01:03:52,246
  6658. Do you think
  6659. it's safe to eat meat?
  6660.  
  6661. 1294
  6662. 01:03:52,287 --> 01:03:54,707
  6663. I personally don't
  6664. think it's safe to eat it
  6665.  
  6666. 1295
  6667. 01:03:54,749 --> 01:03:57,918
  6668. because of the fact how the
  6669. line speeds are increasing
  6670.  
  6671. 1296
  6672. 01:03:57,959 --> 01:04:00,879
  6673. and also our inspectors are
  6674. not well trained enough.
  6675.  
  6676. 1297
  6677. 01:04:00,921 --> 01:04:05,008
  6678. At the present time, the line
  6679. speed now is going about
  6680. 220 cows an hour.
  6681.  
  6682. 1298
  6683. 01:04:05,050 --> 01:04:08,429
  6684. That gives you about,
  6685. somewheres around four
  6686. cows per minute.
  6687.  
  6688. 1299
  6689. 01:04:08,470 --> 01:04:11,139
  6690. So, that's 15 seconds per cow.
  6691.  
  6692. 1300
  6693. 01:04:11,181 --> 01:04:12,600
  6694. These dangerous slaughter speeds
  6695.  
  6696. 1301
  6697. 01:04:12,641 --> 01:04:15,561
  6698. means that animal waste
  6699. ends up everywhere.
  6700.  
  6701. 1302
  6702. 01:04:15,603 --> 01:04:19,690
  6703. Testing shows 88% of pork
  6704. chops are contaminated
  6705. with fecal bacteria.
  6706.  
  6707. 1303
  6708. 01:04:19,732 --> 01:04:23,318
  6709. 90% of ground beef and 95%
  6710. of chicken breast sampled
  6711.  
  6712. 1304
  6713. 01:04:23,360 --> 01:04:25,654
  6714. contained animal waste bacteria.
  6715.  
  6716. 1305
  6717. 01:04:25,696 --> 01:04:28,699
  6718. There is nothing clean
  6719. about eating this way.
  6720.  
  6721. 1306
  6722. 01:04:28,741 --> 01:04:32,536
  6723. But, it just isn't waste,
  6724. it's also
  6725. pus-filled infections.
  6726.  
  6727. 1307
  6728. 01:04:32,578 --> 01:04:33,829
  6729. You could see there's a bump
  6730.  
  6731. 1308
  6732. 01:04:33,870 --> 01:04:37,207
  6733. or some kind of abscess
  6734. underneath the hide.
  6735.  
  6736. 1309
  6737. 01:04:37,249 --> 01:04:39,585
  6738. Most of the time when
  6739. the hide's pulled off,
  6740.  
  6741. 1310
  6742. 01:04:39,627 --> 01:04:44,339
  6743. either that will open up the
  6744. abscess and the the pus will
  6745. come out,
  6746.  
  6747. 1311
  6748. 01:04:44,381 --> 01:04:47,342
  6749. or if it's deep-seated,
  6750. when the inspectors
  6751. are doing their work
  6752.  
  6753. 1312
  6754. 01:04:47,384 --> 01:04:49,762
  6755. or the company employees,
  6756. they might stick their knife
  6757.  
  6758. 1313
  6759. 01:04:49,804 --> 01:04:54,057
  6760. into an abscess, and it
  6761. explodes all over the place.
  6762.  
  6763. 1314
  6764. 01:04:54,099 --> 01:04:57,478
  6765. [Kip] I had heard enough.
  6766. I was utterly disgusted
  6767. by the corruption,
  6768.  
  6769. 1315
  6770. 01:04:57,519 --> 01:05:01,106
  6771. the greed, the disease
  6772. and the abuse I was
  6773. learning about.
  6774.  
  6775. 1316
  6776. 01:05:01,148 --> 01:05:04,860
  6777. The very animals
  6778. we were killing were
  6779. killing us and the planet.
  6780.  
  6781. 1317
  6782. 01:05:04,901 --> 01:05:08,489
  6783. But, so many people eat meat
  6784. and dairy every day of
  6785. their lives.
  6786.  
  6787. 1318
  6788. 01:05:08,530 --> 01:05:11,074
  6789. And we are so concerned
  6790. about getting enough protein.
  6791.  
  6792. 1319
  6793. 01:05:11,116 --> 01:05:13,952
  6794. [Kip] Do we have to eat meat
  6795. to get complete protein?
  6796.  
  6797. 1320
  6798. 01:05:13,994 --> 01:05:16,204
  6799. Oh, my God, oh my God.
  6800.  
  6801. 1321
  6802. 01:05:16,246 --> 01:05:18,749
  6803. You want me to jump off this
  6804. building, don't you now?
  6805.  
  6806. 1322
  6807. 01:05:18,791 --> 01:05:23,462
  6808. Well first of all,
  6809. all protein is made by plants.
  6810.  
  6811. 1323
  6812. 01:05:23,504 --> 01:05:25,213
  6813. I'll state that again
  6814. for the record.
  6815.  
  6816. 1324
  6817. 01:05:25,255 --> 01:05:29,009
  6818. All protein is initially
  6819. made by plants, all of it.
  6820.  
  6821. 1325
  6822. 01:05:29,050 --> 01:05:32,554
  6823. And it is not necessary
  6824. to eat animal tissue
  6825.  
  6826. 1326
  6827. 01:05:32,596 --> 01:05:34,348
  6828. in order to get protein.
  6829.  
  6830. 1327
  6831. 01:05:34,389 --> 01:05:39,269
  6832. Only plants have the ability
  6833. to actually take nitrogen
  6834. from the air,
  6835.  
  6836. 1328
  6837. 01:05:39,311 --> 01:05:41,229
  6838. break those molecules apart
  6839.  
  6840. 1329
  6841. 01:05:41,271 --> 01:05:45,150
  6842. and incorporate that nitrogen
  6843. into amino acids and
  6844. then make protein.
  6845.  
  6846. 1330
  6847. 01:05:45,192 --> 01:05:49,029
  6848. Any protein you get from an
  6849. animal is simply recycled
  6850. plant protein.
  6851.  
  6852. 1331
  6853. 01:05:49,070 --> 01:05:52,324
  6854. If you ate a diet that
  6855. was calorically adequate
  6856.  
  6857. 1332
  6858. 01:05:52,366 --> 01:05:55,369
  6859. and even things like brown rice
  6860. and broccoli and you got
  6861. enough of it,
  6862.  
  6863. 1333
  6864. 01:05:55,410 --> 01:05:58,079
  6865. you'd get enough,
  6866. both quantity
  6867. and quality of protein.
  6868.  
  6869. 1334
  6870. 01:05:58,121 --> 01:05:59,832
  6871. 2,000 calories of
  6872. brown rice and broccoli
  6873.  
  6874. 1335
  6875. 01:05:59,874 --> 01:06:02,167
  6876. is gonna be about 80
  6877. grams of protein a day,
  6878.  
  6879. 1336
  6880. 01:06:02,209 --> 01:06:04,920
  6881. including the essential
  6882. amino acids that you need
  6883.  
  6884. 1337
  6885. 01:06:04,961 --> 01:06:06,672
  6886. in order to maintain
  6887. optimum health.
  6888.  
  6889. 1338
  6890. 01:06:06,714 --> 01:06:11,009
  6891. Greens are loaded with protein.
  6892. Beans are loaded with protein.
  6893.  
  6894. 1339
  6895. 01:06:11,051 --> 01:06:13,011
  6896. Vegetables are loaded
  6897. with protein.
  6898.  
  6899. 1340
  6900. 01:06:13,053 --> 01:06:16,097
  6901. You really want to get
  6902. your protein from plants
  6903.  
  6904. 1341
  6905. 01:06:16,139 --> 01:06:20,853
  6906. because plant proteins
  6907. have a much more beneficial
  6908. effect on our physiology.
  6909.  
  6910. 1342
  6911. 01:06:20,895 --> 01:06:22,437
  6912. The funny thing about protein is
  6913.  
  6914. 1343
  6915. 01:06:22,479 --> 01:06:25,440
  6916. most Americans get about
  6917. twice the amount they need.
  6918.  
  6919. 1344
  6920. 01:06:25,482 --> 01:06:28,777
  6921. Most Americans get
  6922. less than half the amount
  6923. of fiber they need.
  6924.  
  6925. 1345
  6926. 01:06:28,819 --> 01:06:31,238
  6927. But, the conversation tends
  6928. to always be about protein,
  6929.  
  6930. 1346
  6931. 01:06:31,279 --> 01:06:34,199
  6932. so in my mind, it's just this
  6933. magical marketing campaign
  6934.  
  6935. 1347
  6936. 01:06:34,241 --> 01:06:36,493
  6937. that protein has taken
  6938. on over the decades.
  6939.  
  6940. 1348
  6941. 01:06:36,535 --> 01:06:38,412
  6942. The question is not
  6943. where to get your protein,
  6944.  
  6945. 1349
  6946. 01:06:38,453 --> 01:06:40,121
  6947. it's where do you
  6948. get your fiber?
  6949.  
  6950. 1350
  6951. 01:06:40,163 --> 01:06:43,542
  6952. I have never
  6953. in my professional career
  6954. seen a protein deficiency.
  6955.  
  6956. 1351
  6957. 01:06:43,584 --> 01:06:46,879
  6958. I have never seen someone
  6959. come in eating normal
  6960. amounts of calories
  6961.  
  6962. 1352
  6963. 01:06:46,921 --> 01:06:49,381
  6964. and they're protein deficient.
  6965. You just don't see that.
  6966.  
  6967. 1353
  6968. 01:06:49,423 --> 01:06:53,343
  6969. So, human milk has the
  6970. lowest protein content ever
  6971.  
  6972. 1354
  6973. 01:06:53,385 --> 01:06:55,429
  6974. in any species ever tested.
  6975.  
  6976. 1355
  6977. 01:06:55,470 --> 01:06:59,892
  6978. That's the fluid that's
  6979. been designed by evolution
  6980. over millions of years.
  6981.  
  6982. 1356
  6983. 01:06:59,934 --> 01:07:03,896
  6984. And that's just
  6985. like the perfect food
  6986. for human babies.
  6987.  
  6988. 1357
  6989. 01:07:03,938 --> 01:07:06,648
  6990. Perfect food,
  6991. lowest protein content,
  6992.  
  6993. 1358
  6994. 01:07:06,690 --> 01:07:10,110
  6995. any other mammal,
  6996. and so gives a sense of
  6997. kinda protein requirements...
  6998.  
  6999. 1359
  7000. 01:07:10,151 --> 01:07:12,571
  7001. - It's lower than...
  7002. - Anything, so look...
  7003.  
  7004. 1360
  7005. 01:07:12,613 --> 01:07:15,574
  7006. - Lower protein than even...
  7007. - Than rat milk, ape milk.
  7008.  
  7009. 1361
  7010. 01:07:15,616 --> 01:07:18,869
  7011. -Really?
  7012. -Donkey milk, any milk
  7013. that's ever been tested.
  7014.  
  7015. 1362
  7016. 01:07:18,911 --> 01:07:22,330
  7017. And you hear this a lot
  7018. in body builders who are
  7019. like, "Well, I need
  7020.  
  7021. 1363
  7022. 01:07:22,372 --> 01:07:25,960
  7023. chicken, or, I need
  7024. fish to be strong,
  7025. to build muscle tissue."
  7026.  
  7027. 1364
  7028. 01:07:26,835 --> 01:07:28,378
  7029. That is utter nonsense.
  7030.  
  7031. 1365
  7032. 01:07:28,420 --> 01:07:31,506
  7033. The largest, strongest
  7034. terrestrial animals
  7035. on the planet
  7036.  
  7037. 1366
  7038. 01:07:31,548 --> 01:07:33,383
  7039. are all herbivores.
  7040.  
  7041. 1367
  7042. 01:07:33,425 --> 01:07:36,261
  7043. The biggest, strongest
  7044. animals are all herbivores.
  7045.  
  7046. 1368
  7047. 01:07:36,303 --> 01:07:38,764
  7048. When we bring in people
  7049. and they're on meaty diets
  7050.  
  7051. 1369
  7052. 01:07:38,806 --> 01:07:40,408
  7053. and we transition them
  7054. to a plant-based diet,
  7055.  
  7056. 1370
  7057. 01:07:40,432 --> 01:07:42,058
  7058. we always track
  7059. what they're eating.
  7060.  
  7061. 1371
  7062. 01:07:42,100 --> 01:07:44,227
  7063. Their vitamin intake goes up.
  7064.  
  7065. 1372
  7066. 01:07:44,269 --> 01:07:47,272
  7067. Their nutrition overall goes
  7068. up, dramatically better.
  7069.  
  7070. 1373
  7071. 01:07:47,314 --> 01:07:49,817
  7072. And these same people
  7073. might worry in advance,
  7074.  
  7075. 1374
  7076. 01:07:49,858 --> 01:07:52,486
  7077. "Will I get the nutrition
  7078. that I need on
  7079. a plant-based diet?"
  7080.  
  7081. 1375
  7082. 01:07:52,527 --> 01:07:54,547
  7083. The fact is,
  7084. you're not getting
  7085. the nutrition you need
  7086.  
  7087. 1376
  7088. 01:07:54,571 --> 01:07:56,490
  7089. on a meat-based diet,
  7090.  
  7091. 1377
  7092. 01:07:56,531 --> 01:07:59,093
  7093. and you're gonna get
  7094. dramatically better nutrition
  7095. on a plant-based diet.
  7096.  
  7097. 1378
  7098. 01:07:59,117 --> 01:08:04,414
  7099. For an average-sized guy
  7100. like myself, I need about
  7101. 56 grams of protein a day.
  7102.  
  7103. 1379
  7104. 01:08:04,456 --> 01:08:07,876
  7105. That's optimum,
  7106. probably I really need
  7107. 30 to 40 grams a day.
  7108.  
  7109. 1380
  7110. 01:08:07,918 --> 01:08:09,711
  7111. Diets that are really
  7112. high in these protein
  7113.  
  7114. 1381
  7115. 01:08:09,753 --> 01:08:13,173
  7116. create diabetes,
  7117. create heart disease,
  7118. create cancer,
  7119.  
  7120. 1382
  7121. 01:08:13,214 --> 01:08:16,134
  7122. create the diseases
  7123. that I'm treating
  7124. on a daily basis.
  7125.  
  7126. 1383
  7127. 01:08:16,176 --> 01:08:19,554
  7128. [Kip] But, this is the opposite
  7129. of what all the high-protein
  7130. diet fads say.
  7131.  
  7132. 1384
  7133. 01:08:19,596 --> 01:08:23,183
  7134. The food you eat
  7135. determines the bacteria
  7136. that live in your gut.
  7137.  
  7138. 1385
  7139. 01:08:23,224 --> 01:08:25,185
  7140. While you eat animal flesh
  7141. every day,
  7142.  
  7143. 1386
  7144. 01:08:25,226 --> 01:08:29,397
  7145. you are summoning up
  7146. bacteria that eat carnitine.
  7147.  
  7148. 1387
  7149. 01:08:29,439 --> 01:08:32,317
  7150. And those bacteria will
  7151. turn that carnitine
  7152.  
  7153. 1388
  7154. 01:08:32,359 --> 01:08:35,070
  7155. into a molecule
  7156. called trimethylamine.
  7157.  
  7158. 1389
  7159. 01:08:35,111 --> 01:08:38,573
  7160. Your liver then turns that
  7161. into trimethylamine oxide.
  7162.  
  7163. 1390
  7164. 01:08:38,615 --> 01:08:40,158
  7165. That's a molecule from hell.
  7166.  
  7167. 1391
  7168. 01:08:40,200 --> 01:08:43,328
  7169. That molecule
  7170. drives cholesterol
  7171. into the artery walls.
  7172.  
  7173. 1392
  7174. 01:08:43,370 --> 01:08:46,164
  7175. And the people who will
  7176. consume this flesh-based diet
  7177.  
  7178. 1393
  7179. 01:08:46,206 --> 01:08:48,416
  7180. are contributing
  7181. to plaque building up,
  7182.  
  7183. 1394
  7184. 01:08:48,458 --> 01:08:51,211
  7185. they may lose weight on
  7186. this diet and that's good,
  7187.  
  7188. 1395
  7189. 01:08:51,252 --> 01:08:54,464
  7190. but, what's happening inside
  7191. your arteries, Paleo friends?
  7192.  
  7193. 1396
  7194. 01:08:54,506 --> 01:08:56,591
  7195. What's happening is that
  7196. plaque is building up,
  7197.  
  7198. 1397
  7199. 01:08:56,633 --> 01:08:59,344
  7200. and these are the folks who
  7201. drop dead at the gym at 39.
  7202.  
  7203. 1398
  7204. 01:08:59,386 --> 01:09:01,763
  7205. Boy, he was lean
  7206. and he looked really good,
  7207.  
  7208. 1399
  7209. 01:09:01,805 --> 01:09:05,684
  7210. but, where is that cholesterol
  7211. going? It's going into your
  7212. artery walls.
  7213.  
  7214. 1400
  7215. 01:09:05,726 --> 01:09:10,022
  7216. So, I believe these Paleo
  7217. folks are setting them-self
  7218. up for an epidemic
  7219.  
  7220. 1401
  7221. 01:09:10,064 --> 01:09:14,651
  7222. of clogged arteries,
  7223. colon cancers,
  7224. autoimmune diseases.
  7225.  
  7226. 1402
  7227. 01:09:14,693 --> 01:09:18,196
  7228. This is not a healthy diet.
  7229. We are not carnivorous apes.
  7230.  
  7231. 1403
  7232. 01:09:18,238 --> 01:09:20,365
  7233. Humans' closest
  7234. living relatives are chimps
  7235.  
  7236. 1404
  7237. 01:09:20,407 --> 01:09:22,910
  7238. who get 97 percent of
  7239. their calories from plants
  7240.  
  7241. 1405
  7242. 01:09:22,951 --> 01:09:25,495
  7243. and the remaining three percent
  7244. mostly from insects.
  7245.  
  7246. 1406
  7247. 01:09:25,537 --> 01:09:27,789
  7248. Comparing the anatomy of
  7249. true omnivores like bears
  7250.  
  7251. 1407
  7252. 01:09:27,831 --> 01:09:30,709
  7253. who eat both meat and plants
  7254. to frugivores like primates
  7255.  
  7256. 1408
  7257. 01:09:30,751 --> 01:09:34,337
  7258. who eat almost exclusively
  7259. plants, the differences
  7260. are pretty clear.
  7261.  
  7262. 1409
  7263. 01:09:34,379 --> 01:09:36,715
  7264. Frugivore teeth have flat
  7265. molars for chewing plants,
  7266.  
  7267. 1410
  7268. 01:09:36,757 --> 01:09:40,135
  7269. where omnivore teeth
  7270. are serrated for stabbing
  7271. and tearing flesh.
  7272.  
  7273. 1411
  7274. 01:09:40,176 --> 01:09:43,263
  7275. Frugivore jaws can
  7276. move forward and back
  7277. and side to side,
  7278.  
  7279. 1412
  7280. 01:09:43,304 --> 01:09:45,515
  7281. omnivore jaws cannot.
  7282.  
  7283. 1413
  7284. 01:09:45,557 --> 01:09:48,828
  7285. Omnivores have much stronger
  7286. stomach acid for digesting
  7287. meat compared to less acidic
  7288.  
  7289. 1414
  7290. 01:09:48,852 --> 01:09:50,771
  7291. stomach acid of frugivores.
  7292.  
  7293. 1415
  7294. 01:09:50,812 --> 01:09:52,522
  7295. The intestines of frugivores
  7296. is nine times
  7297.  
  7298. 1416
  7299. 01:09:52,564 --> 01:09:55,442
  7300. their body length compared
  7301. to three times for omnivores.
  7302.  
  7303. 1417
  7304. 01:09:55,483 --> 01:09:57,277
  7305. This is because meat
  7306. will putrefy in the gut
  7307.  
  7308. 1418
  7309. 01:09:57,318 --> 01:09:59,154
  7310. unless it is
  7311. moved through quickly.
  7312.  
  7313. 1419
  7314. 01:09:59,195 --> 01:10:01,115
  7315. If humans were
  7316. indeed true omnivores,
  7317.  
  7318. 1420
  7319. 01:10:01,156 --> 01:10:04,785
  7320. we would need to change
  7321. our physiology and
  7322. appearance quite a lot.
  7323.  
  7324. 1421
  7325. 01:10:04,826 --> 01:10:07,662
  7326. But, we fit every
  7327. requirement of a frugivore.
  7328.  
  7329. 1422
  7330. 01:10:07,704 --> 01:10:11,458
  7331. We may behave like omnivores,
  7332. but, anatomically,
  7333. we're frugivores.
  7334.  
  7335. 1423
  7336. 01:10:11,499 --> 01:10:15,587
  7337. Human beings, unlike
  7338. bears and raccoons
  7339. and to some extent, dogs,
  7340.  
  7341. 1424
  7342. 01:10:15,629 --> 01:10:19,174
  7343. don't have that mixed
  7344. anatomy and physiology
  7345.  
  7346. 1425
  7347. 01:10:19,215 --> 01:10:23,219
  7348. that you see in the true
  7349. omnivores, and thus,
  7350. we are not true omnivores.
  7351.  
  7352. 1426
  7353. 01:10:23,261 --> 01:10:26,974
  7354. In humans, the canines
  7355. have become really small
  7356.  
  7357. 1427
  7358. 01:10:27,015 --> 01:10:31,061
  7359. and rounded
  7360. and actually function
  7361. like accessory incisors.
  7362.  
  7363. 1428
  7364. 01:10:31,103 --> 01:10:33,313
  7365. They're utterly useless
  7366. for ripping and tearing
  7367.  
  7368. 1429
  7369. 01:10:33,354 --> 01:10:35,190
  7370. anything other than an envelope.
  7371.  
  7372. 1430
  7373. 01:10:35,231 --> 01:10:38,819
  7374. So, the idea that the mere
  7375. presence of the canine
  7376.  
  7377. 1431
  7378. 01:10:38,860 --> 01:10:41,571
  7379. somehow means
  7380. that we're supposed
  7381. to eat meat is silly.
  7382.  
  7383. 1432
  7384. 01:10:41,613 --> 01:10:42,864
  7385. [Kip] He was right.
  7386.  
  7387. 1433
  7388. 01:10:42,906 --> 01:10:44,383
  7389. I always thought my canines
  7390. were for meat,
  7391.  
  7392. 1434
  7393. 01:10:44,407 --> 01:10:46,743
  7394. but, what kind of animal could
  7395. actually kill and eat raw
  7396.  
  7397. 1435
  7398. 01:10:46,785 --> 01:10:48,536
  7399. with these tiny teeth?
  7400.  
  7401. 1436
  7402. 01:10:48,578 --> 01:10:50,538
  7403. The thought alone
  7404. was disgusting.
  7405.  
  7406. 1437
  7407. 01:10:50,580 --> 01:10:53,125
  7408. I mean, everybody loves
  7409. a smoothie made with fruit
  7410.  
  7411. 1438
  7412. 01:10:53,167 --> 01:10:55,043
  7413. and even some vegetables.
  7414.  
  7415. 1439
  7416. 01:10:55,085 --> 01:10:59,380
  7417. But, if you think about
  7418. putting a fish or a piece
  7419. of beef in a blender
  7420.  
  7421. 1440
  7422. 01:10:59,422 --> 01:11:04,052
  7423. and grinding it up,
  7424. the thought is
  7425. absolutely repulsive.
  7426.  
  7427. 1441
  7428. 01:11:04,094 --> 01:11:05,655
  7429. [Kip] All these diseases
  7430. I had learned about
  7431.  
  7432. 1442
  7433. 01:11:05,679 --> 01:11:08,306
  7434. were from eating a diet our
  7435. body wasn't designed for.
  7436.  
  7437. 1443
  7438. 01:11:08,348 --> 01:11:09,993
  7439. What would happen if we
  7440. started eating a diet
  7441.  
  7442. 1444
  7443. 01:11:10,017 --> 01:11:12,268
  7444. our body actually was
  7445. designed for?
  7446.  
  7447. 1445
  7448. 01:11:12,310 --> 01:11:16,439
  7449. The data is crystal clear,
  7450. that you can stop and
  7451. reverse heart disease
  7452.  
  7453. 1446
  7454. 01:11:16,481 --> 01:11:18,150
  7455. with plant-based diets,
  7456.  
  7457. 1447
  7458. 01:11:18,192 --> 01:11:20,986
  7459. scientifically shown,
  7460. I've seen it
  7461. in my own patients.
  7462.  
  7463. 1448
  7464. 01:11:21,028 --> 01:11:23,321
  7465. People who adopt low
  7466. fat plant-based diets
  7467.  
  7468. 1449
  7469. 01:11:23,363 --> 01:11:25,699
  7470. can actually reverse
  7471. their heart disease,
  7472.  
  7473. 1450
  7474. 01:11:25,740 --> 01:11:27,993
  7475. and that literally means
  7476. watching the plaque
  7477.  
  7478. 1451
  7479. 01:11:28,035 --> 01:11:30,662
  7480. start to go away,
  7481. something they didn't
  7482. think could happen.
  7483.  
  7484. 1452
  7485. 01:11:30,704 --> 01:11:31,997
  7486. My experience with patients is
  7487.  
  7488. 1453
  7489. 01:11:32,039 --> 01:11:33,957
  7490. and the studies show
  7491. that when people adopt
  7492.  
  7493. 1454
  7494. 01:11:33,999 --> 01:11:36,126
  7495. a fully plant-based diet,
  7496. their cholesterol levels
  7497.  
  7498. 1455
  7499. 01:11:36,168 --> 01:11:37,711
  7500. plummet within a few days.
  7501.  
  7502. 1456
  7503. 01:11:37,752 --> 01:11:39,355
  7504. And if you do blood test
  7505. in a couple of weeks,
  7506.  
  7507. 1457
  7508. 01:11:39,379 --> 01:11:41,256
  7509. you'll see dramatic
  7510. improvements.
  7511.  
  7512. 1458
  7513. 01:11:41,297 --> 01:11:43,133
  7514. Yes, your numbers
  7515. are gonna look great
  7516.  
  7517. 1459
  7518. 01:11:43,175 --> 01:11:46,136
  7519. within a week or, two,
  7520. your cholesterol can come
  7521. crashing down, in fact,
  7522.  
  7523. 1460
  7524. 01:11:46,178 --> 01:11:48,304
  7525. if you're on medications,
  7526. your doctor may have to
  7527.  
  7528. 1461
  7529. 01:11:48,346 --> 01:11:51,492
  7530. pull off your blood pressure
  7531. medications so your blood
  7532. pressure don't drop too low.
  7533.  
  7534. 1462
  7535. 01:11:51,516 --> 01:11:52,851
  7536. Because it can work too good,
  7537.  
  7538. 1463
  7539. 01:11:52,893 --> 01:11:55,896
  7540. like the side effect is
  7541. not having to take drugs.
  7542.  
  7543. 1464
  7544. 01:11:55,937 --> 01:11:57,581
  7545. [Kip] In a groundbreaking
  7546. study published by
  7547.  
  7548. 1465
  7549. 01:11:57,605 --> 01:12:00,025
  7550. Dr. Esselstyn following
  7551. patients suffering from
  7552.  
  7553. 1466
  7554. 01:12:00,067 --> 01:12:04,529
  7555. cardiovascular disease,
  7556. 99.4% were able to avoid
  7557.  
  7558. 1467
  7559. 01:12:04,571 --> 01:12:07,199
  7560. major cardiac events
  7561. by going plant-based.
  7562.  
  7563. 1468
  7564. 01:12:07,241 --> 01:12:10,869
  7565. 'Cause it's not just heart
  7566. disease. It's hypertension,
  7567. it's diabetes,
  7568.  
  7569. 1469
  7570. 01:12:10,911 --> 01:12:13,329
  7571. it's strokes,
  7572. it's heart attacks,
  7573.  
  7574. 1470
  7575. 01:12:13,371 --> 01:12:15,249
  7576. it's several of
  7577. the autoimmune diseases,
  7578.  
  7579. 1471
  7580. 01:12:15,290 --> 01:12:19,211
  7581. lupus, asthma,
  7582. GERD, osteoporosis,
  7583.  
  7584. 1472
  7585. 01:12:19,253 --> 01:12:22,047
  7586. there's a multitude of diseases.
  7587.  
  7588. 1473
  7589. 01:12:22,089 --> 01:12:25,092
  7590. Even rheumatoid arthritis,
  7591. it can be so dramatic
  7592.  
  7593. 1474
  7594. 01:12:25,133 --> 01:12:26,801
  7595. when you see these poor souls
  7596.  
  7597. 1475
  7598. 01:12:26,843 --> 01:12:29,304
  7599. just absolutely crippled
  7600. with rheumatoid arthritis
  7601.  
  7602. 1476
  7603. 01:12:29,345 --> 01:12:33,100
  7604. go plant-based, and then they
  7605. come off their medication.
  7606.  
  7607. 1477
  7608. 01:12:33,141 --> 01:12:35,018
  7609. I wanted to follow
  7610. up with Jane Chapman
  7611.  
  7612. 1478
  7613. 01:12:35,060 --> 01:12:37,562
  7614. who had been suffering
  7615. from severe osteoarthritis,
  7616.  
  7617. 1479
  7618. 01:12:37,604 --> 01:12:39,647
  7619. and I could not believe
  7620. what I saw
  7621.  
  7622. 1480
  7623. 01:12:39,689 --> 01:12:42,817
  7624. after only a few weeks
  7625. of fasting
  7626. and changing her diet.
  7627.  
  7628. 1481
  7629. 01:12:42,859 --> 01:12:46,529
  7630. Those are so amazing
  7631. to see you like this
  7632. only a few weeks later.
  7633.  
  7634. 1482
  7635. 01:12:46,571 --> 01:12:48,240
  7636. I know!
  7637.  
  7638. 1483
  7639. 01:12:48,282 --> 01:12:50,200
  7640. From going from the walker,
  7641.  
  7642. 1484
  7643. 01:12:50,242 --> 01:12:53,411
  7644. needing wheelchair
  7645. assistance at the airport
  7646.  
  7647. 1485
  7648. 01:12:53,453 --> 01:12:59,876
  7649. to strolling down the street,
  7650. enjoying the fresh air,
  7651. the sunshine.
  7652.  
  7653. 1486
  7654. 01:12:59,918 --> 01:13:04,089
  7655. Two weeks, it's all it took,
  7656. two weeks to get off
  7657. all the meds
  7658.  
  7659. 1487
  7660. 01:13:04,131 --> 01:13:07,259
  7661. and start to
  7662. feel the inflammation
  7663.  
  7664. 1488
  7665. 01:13:07,301 --> 01:13:09,761
  7666. just kind of
  7667. drain out of the body
  7668.  
  7669. 1489
  7670. 01:13:09,803 --> 01:13:12,931
  7671. where the movement
  7672. was much easier.
  7673.  
  7674. 1490
  7675. 01:13:12,973 --> 01:13:16,684
  7676. Just a lot of healing
  7677. occurred very rapidly
  7678.  
  7679. 1491
  7680. 01:13:16,726 --> 01:13:19,146
  7681. just by doing the right
  7682. things for your body.
  7683.  
  7684. 1492
  7685. 01:13:19,187 --> 01:13:22,316
  7686. When you're treating
  7687. diseases with drugs,
  7688.  
  7689. 1493
  7690. 01:13:22,357 --> 01:13:24,335
  7691. you know there's one drug
  7692. you take for cholesterol,
  7693.  
  7694. 1494
  7695. 01:13:24,359 --> 01:13:26,987
  7696. a different class of drugs you
  7697. take for high blood pressure,
  7698.  
  7699. 1495
  7700. 01:13:27,028 --> 01:13:29,530
  7701. different class of drugs
  7702. you take for diabetes,
  7703.  
  7704. 1496
  7705. 01:13:29,572 --> 01:13:33,076
  7706. but, with diet,
  7707. a plant-based diet
  7708. affects all these diseases.
  7709.  
  7710. 1497
  7711. 01:13:33,118 --> 01:13:35,370
  7712. One diet to kinda rule them all.
  7713.  
  7714. 1498
  7715. 01:13:35,411 --> 01:13:38,165
  7716. [Kip] The impacts
  7717. of eating this way
  7718. go far beyond ourselves.
  7719.  
  7720. 1499
  7721. 01:13:38,206 --> 01:13:39,958
  7722. By getting rid of heart
  7723. disease alone,
  7724.  
  7725. 1500
  7726. 01:13:40,000 --> 01:13:43,086
  7727. we would save up to $48
  7728. trillion in the USA,
  7729.  
  7730. 1501
  7731. 01:13:43,128 --> 01:13:45,630
  7732. three times the US GDP.
  7733.  
  7734. 1502
  7735. 01:13:45,672 --> 01:13:47,632
  7736. Conditions like
  7737. high blood pressure,
  7738.  
  7739. 1503
  7740. 01:13:47,674 --> 01:13:50,844
  7741. you don't have to take the
  7742. drugs the rest of your life
  7743. and be sick forever.
  7744.  
  7745. 1504
  7746. 01:13:50,885 --> 01:13:52,553
  7747. What you can do
  7748. is live in such a way
  7749.  
  7750. 1505
  7751. 01:13:52,595 --> 01:13:54,848
  7752. that it gives the body
  7753. a chance to heal itself.
  7754.  
  7755. 1506
  7756. 01:13:54,889 --> 01:13:58,393
  7757. We took 174
  7758. consecutive patients
  7759. with high blood pressure.
  7760.  
  7761. 1507
  7762. 01:13:58,434 --> 01:14:01,271
  7763. And 174 people
  7764. were able to lower
  7765. their blood pressure
  7766.  
  7767. 1508
  7768. 01:14:01,313 --> 01:14:03,398
  7769. enough to eliminate
  7770. the need for medication.
  7771.  
  7772. 1509
  7773. 01:14:03,439 --> 01:14:06,151
  7774. For inflammatory bowel
  7775. disease like Crohn's,
  7776.  
  7777. 1510
  7778. 01:14:06,193 --> 01:14:09,696
  7779. the best remission rates
  7780. ever achieved through
  7781. plant-based diet.
  7782.  
  7783. 1511
  7784. 01:14:09,737 --> 01:14:13,574
  7785. MS, multiple sclerosis,
  7786. the best results ever achieved
  7787.  
  7788. 1512
  7789. 01:14:13,616 --> 01:14:15,327
  7790. compared to
  7791. any medical, surgical,
  7792.  
  7793. 1513
  7794. 01:14:15,369 --> 01:14:17,745
  7795. any kind of intervention
  7796. was a plant-based diet.
  7797.  
  7798. 1514
  7799. 01:14:17,787 --> 01:14:20,498
  7800. You can see that with
  7801. every sequential reduction
  7802.  
  7803. 1515
  7804. 01:14:20,540 --> 01:14:22,792
  7805. in animal products,
  7806. people live longer,
  7807.  
  7808. 1516
  7809. 01:14:22,834 --> 01:14:26,254
  7810. they have less heart disease,
  7811. they have less cancer,
  7812. they have less diabetes.
  7813.  
  7814. 1517
  7815. 01:14:26,296 --> 01:14:29,132
  7816. You can actually take human
  7817. cancer cells, put them in
  7818. a petri dish,
  7819.  
  7820. 1518
  7821. 01:14:29,174 --> 01:14:31,385
  7822. and you can drip the blood
  7823. of those eating vegan,
  7824.  
  7825. 1519
  7826. 01:14:31,426 --> 01:14:34,679
  7827. get about 72% suppression in
  7828.  
  7829. 1520
  7830. 01:14:34,721 --> 01:14:36,931
  7831. human prostate cancer
  7832. cell growth in vitro,
  7833.  
  7834. 1521
  7835. 01:14:36,973 --> 01:14:39,893
  7836. they wanted to try this again
  7837. with women and breast cancer,
  7838.  
  7839. 1522
  7840. 01:14:39,934 --> 01:14:41,537
  7841. so they said, "Let's see what
  7842. a plant-based diet can do."
  7843.  
  7844. 1523
  7845. 01:14:41,561 --> 01:14:44,314
  7846. After just two weeks,
  7847. their bodies cleaned up.
  7848.  
  7849. 1524
  7850. 01:14:44,356 --> 01:14:46,482
  7851. You dropped their blood
  7852. on the same carpet
  7853.  
  7854. 1525
  7855. 01:14:46,524 --> 01:14:49,527
  7856. of cancer cells, you can
  7857. clear off the whole plate.
  7858.  
  7859. 1526
  7860. 01:14:49,569 --> 01:14:52,697
  7861. This is just after just two
  7862. weeks eating healthy, which
  7863. raises the question,
  7864.  
  7865. 1527
  7866. 01:14:52,739 --> 01:14:54,459
  7867. what kind of blood do
  7868. we want in our bodies?
  7869.  
  7870. 1528
  7871. 01:14:54,490 --> 01:14:57,994
  7872. My background
  7873. is in industrial
  7874. and systems engineering.
  7875.  
  7876. 1529
  7877. 01:14:58,036 --> 01:15:02,498
  7878. And that was my career
  7879. path for a long time until
  7880.  
  7881. 1530
  7882. 01:15:02,540 --> 01:15:04,500
  7883. I got thyroid cancer,
  7884.  
  7885. 1531
  7886. 01:15:04,542 --> 01:15:07,628
  7887. and everything
  7888. changed from there.
  7889.  
  7890. 1532
  7891. 01:15:07,670 --> 01:15:13,301
  7892. I decided that I wanted
  7893. to try alternative methods
  7894. and treatments
  7895.  
  7896. 1533
  7897. 01:15:13,343 --> 01:15:16,804
  7898. rather than have surgery
  7899. and have my thyroid removed,
  7900.  
  7901. 1534
  7902. 01:15:16,846 --> 01:15:19,433
  7903. which meant I'd be
  7904. on medication forever,
  7905. and I didn't want that.
  7906.  
  7907. 1535
  7908. 01:15:19,474 --> 01:15:22,560
  7909. I just started reading
  7910. on how a plant-based diet
  7911.  
  7912. 1536
  7913. 01:15:22,602 --> 01:15:26,106
  7914. can heal the body and it has
  7915. worked for so many people.
  7916.  
  7917. 1537
  7918. 01:15:26,147 --> 01:15:31,694
  7919. So, I immediately just switched
  7920. to a completely whole food
  7921. plant-based diet.
  7922.  
  7923. 1538
  7924. 01:15:31,736 --> 01:15:35,365
  7925. After a year, the cancer
  7926. was completely gone.
  7927.  
  7928. 1539
  7929. 01:15:35,407 --> 01:15:38,285
  7930. And my thyroid had
  7931. shrunk to normal size.
  7932.  
  7933. 1540
  7934. 01:15:38,326 --> 01:15:40,912
  7935. And I was completely
  7936. free of that.
  7937.  
  7938. 1541
  7939. 01:15:40,954 --> 01:15:42,872
  7940. [Kip]
  7941. This was tough to believe.
  7942.  
  7943. 1542
  7944. 01:15:42,914 --> 01:15:45,435
  7945. Couldn't this all just be
  7946. from eating healthier,
  7947. though, like no sugar?
  7948.  
  7949. 1543
  7950. 01:15:45,459 --> 01:15:48,253
  7951. Turns out Dr. Walter Kempner
  7952. from Duke University
  7953.  
  7954. 1544
  7955. 01:15:48,295 --> 01:15:51,089
  7956. back in the 1940s was
  7957. reversing some of our
  7958.  
  7959. 1545
  7960. 01:15:51,131 --> 01:15:53,383
  7961. worst killer diseases
  7962. with diet alone.
  7963.  
  7964. 1546
  7965. 01:15:53,425 --> 01:15:56,428
  7966. And the diet he was using
  7967. was not only strictly
  7968. plant-based
  7969.  
  7970. 1547
  7971. 01:15:56,470 --> 01:16:00,348
  7972. but, it was made up
  7973. of white rice, fruit
  7974. and table sugar.
  7975.  
  7976. 1548
  7977. 01:16:00,390 --> 01:16:04,560
  7978. And he was reversing diabetes,
  7979. he was reversing malignant
  7980. hypertension,
  7981.  
  7982. 1549
  7983. 01:16:04,602 --> 01:16:07,772
  7984. reversing heart disease,
  7985. the diabetic complications,
  7986.  
  7987. 1550
  7988. 01:16:07,814 --> 01:16:09,941
  7989. reversing diabetic blindness.
  7990.  
  7991. 1551
  7992. 01:16:09,983 --> 01:16:13,403
  7993. So, these people basically
  7994. had death sentences,
  7995. went to him,
  7996.  
  7997. 1552
  7998. 01:16:13,445 --> 01:16:15,447
  7999. and were given basically sugar.
  8000.  
  8001. 1553
  8002. 01:16:15,489 --> 01:16:20,076
  8003. You know, this horrible diet,
  8004. but, it was strictly
  8005. plant-based.
  8006.  
  8007. 1554
  8008. 01:16:20,118 --> 01:16:22,954
  8009. [Kip] If this information had
  8010. been around since the 1940s,
  8011.  
  8012. 1555
  8013. 01:16:22,996 --> 01:16:24,747
  8014. why don't all doctors know this?
  8015.  
  8016. 1556
  8017. 01:16:24,789 --> 01:16:28,335
  8018. We're not taught
  8019. about the power of food
  8020. in medical school.
  8021.  
  8022. 1557
  8023. 01:16:28,376 --> 01:16:30,545
  8024. No one is taught that
  8025.  
  8026. 1558
  8027. 01:16:30,586 --> 01:16:33,298
  8028. the changes that
  8029. we make with our diet
  8030.  
  8031. 1559
  8032. 01:16:33,340 --> 01:16:36,009
  8033. are probably the single most
  8034. powerful thing we can do
  8035.  
  8036. 1560
  8037. 01:16:36,050 --> 01:16:37,427
  8038. to determine our destiny.
  8039.  
  8040. 1561
  8041. 01:16:37,469 --> 01:16:38,970
  8042. It trumps our genetics.
  8043.  
  8044. 1562
  8045. 01:16:39,012 --> 01:16:40,847
  8046. Why isn't your doctor
  8047. telling this?
  8048.  
  8049. 1563
  8050. 01:16:40,888 --> 01:16:43,224
  8051. Odds are your doctor
  8052. never learned any of this.
  8053.  
  8054. 1564
  8055. 01:16:43,266 --> 01:16:46,894
  8056. In fact, there's even a bill
  8057. introduced just mandating
  8058. physicians get seven hours
  8059.  
  8060. 1565
  8061. 01:16:46,936 --> 01:16:50,857
  8062. nutrition training every
  8063. couple of years, just to
  8064. kinda stay on top of it.
  8065.  
  8066. 1566
  8067. 01:16:50,898 --> 01:16:53,318
  8068. And who came out against that?
  8069.  
  8070. 1567
  8071. 01:16:53,360 --> 01:16:55,028
  8072. The California
  8073. Medical Association.
  8074.  
  8075. 1568
  8076. 01:16:55,069 --> 01:16:57,071
  8077. Even the family physicians,
  8078. the surgeons,
  8079.  
  8080. 1569
  8081. 01:16:57,113 --> 01:17:00,492
  8082. all the mainstream medical
  8083. groups came out opposed.
  8084.  
  8085. 1570
  8086. 01:17:00,534 --> 01:17:02,452
  8087. It's seven hours.
  8088. That's a lot.
  8089.  
  8090. 1571
  8091. 01:17:02,494 --> 01:17:04,745
  8092. Even if it's over
  8093. one four-year period.
  8094.  
  8095. 1572
  8096. 01:17:04,787 --> 01:17:09,000
  8097. So, they're not just kinda
  8098. neutral, but, they're actually
  8099. actively opposing
  8100.  
  8101. 1573
  8102. 01:17:09,042 --> 01:17:10,502
  8103. nutrition education.
  8104.  
  8105. 1574
  8106. 01:17:10,544 --> 01:17:12,646
  8107. Ironically, when patients
  8108. come to doctors with questions,
  8109.  
  8110. 1575
  8111. 01:17:12,670 --> 01:17:15,215
  8112. they assume that
  8113. the doctor knows
  8114. something about nutrition
  8115.  
  8116. 1576
  8117. 01:17:15,256 --> 01:17:16,757
  8118. and so it's kind of
  8119. a double whammy
  8120.  
  8121. 1577
  8122. 01:17:16,799 --> 01:17:19,010
  8123. that doctors haven't been
  8124. taught much about nutrition.
  8125.  
  8126. 1578
  8127. 01:17:19,052 --> 01:17:21,012
  8128. [Kip] Why don't we hear
  8129. about this from dietitians
  8130.  
  8131. 1579
  8132. 01:17:21,054 --> 01:17:23,014
  8133. when nutrition is their
  8134. entire specialty?
  8135.  
  8136. 1580
  8137. 01:17:23,056 --> 01:17:25,641
  8138. Turns out the
  8139. American Nutrition
  8140. and Dietetics Association
  8141.  
  8142. 1581
  8143. 01:17:25,683 --> 01:17:29,103
  8144. puts out nutrition fact
  8145. sheets written by the
  8146. industries themselves.
  8147.  
  8148. 1582
  8149. 01:17:29,145 --> 01:17:33,733
  8150. The industries pay $20,000
  8151. per fact sheet and explicitly
  8152. take part in writing them.
  8153.  
  8154. 1583
  8155. 01:17:33,774 --> 01:17:35,985
  8156. So, you can learn about
  8157. eggs from the egg industry.
  8158.  
  8159. 1584
  8160. 01:17:36,027 --> 01:17:38,405
  8161. You can learn about lamb
  8162. from the lamb industry.
  8163.  
  8164. 1585
  8165. 01:17:38,446 --> 01:17:39,840
  8166. This would be like
  8167. learning about the benefits
  8168.  
  8169. 1586
  8170. 01:17:39,864 --> 01:17:42,033
  8171. of smoking from
  8172. the tobacco industry.
  8173.  
  8174. 1587
  8175. 01:17:42,075 --> 01:17:45,745
  8176. When people are eating meat,
  8177. I think of it
  8178. as a bit like smoking.
  8179.  
  8180. 1588
  8181. 01:17:45,786 --> 01:17:47,539
  8182. It's sort of Russian roulette.
  8183.  
  8184. 1589
  8185. 01:17:47,581 --> 01:17:51,209
  8186. You may not get diabetes,
  8187. but your chances
  8188. of getting diabetes,
  8189.  
  8190. 1590
  8191. 01:17:51,251 --> 01:17:53,253
  8192. about one in three.
  8193.  
  8194. 1591
  8195. 01:17:53,294 --> 01:17:55,606
  8196. You may not get cancer, but,
  8197. your chances, if you're a man,
  8198. about one in two.
  8199.  
  8200. 1592
  8201. 01:17:55,630 --> 01:17:56,964
  8202. A woman, one in three.
  8203.  
  8204. 1593
  8205. 01:17:57,006 --> 01:17:59,050
  8206. Your chances of
  8207. gaining weight,
  8208. two out of three.
  8209.  
  8210. 1594
  8211. 01:17:59,092 --> 01:18:01,010
  8212. It's not all diet,
  8213. but, most of it is.
  8214.  
  8215. 1595
  8216. 01:18:01,052 --> 01:18:03,096
  8217. The best thing that you
  8218. can do to make sure that
  8219.  
  8220. 1596
  8221. 01:18:03,137 --> 01:18:06,224
  8222. you empty all those
  8223. bullets out of the chamber
  8224.  
  8225. 1597
  8226. 01:18:06,266 --> 01:18:08,059
  8227. and not taking a risk
  8228. with your health
  8229.  
  8230. 1598
  8231. 01:18:08,101 --> 01:18:12,230
  8232. is to get the animal
  8233. products out of your diet
  8234. and eat healthy foods.
  8235.  
  8236. 1599
  8237. 01:18:12,272 --> 01:18:15,191
  8238. I came to TrueNorth to
  8239. help me with my asthma
  8240.  
  8241. 1600
  8242. 01:18:15,233 --> 01:18:17,527
  8243. and to lose a little
  8244. weight, and it's amazing
  8245.  
  8246. 1601
  8247. 01:18:17,569 --> 01:18:20,238
  8248. just in two weeks
  8249. of changing my diet,
  8250.  
  8251. 1602
  8252. 01:18:20,280 --> 01:18:23,408
  8253. don't have to take
  8254. any asthma medication,
  8255.  
  8256. 1603
  8257. 01:18:23,450 --> 01:18:27,287
  8258. no antidepressants,
  8259. no pain medication,
  8260.  
  8261. 1604
  8262. 01:18:27,328 --> 01:18:29,997
  8263. no heart medication, nothing.
  8264.  
  8265. 1605
  8266. 01:18:30,039 --> 01:18:31,791
  8267. No medications at all.
  8268.  
  8269. 1606
  8270. 01:18:31,832 --> 01:18:34,794
  8271. And it's really,
  8272. it's just incredible.
  8273.  
  8274. 1607
  8275. 01:18:34,835 --> 01:18:40,341
  8276. I was taking oxy and Advil,
  8277. and I was taking 800
  8278. milligrams of Motrin
  8279.  
  8280. 1608
  8281. 01:18:40,383 --> 01:18:42,802
  8282. three times a day
  8283. just to get through the day
  8284.  
  8285. 1609
  8286. 01:18:42,843 --> 01:18:44,638
  8287. because I was in so much pain.
  8288.  
  8289. 1610
  8290. 01:18:44,679 --> 01:18:46,431
  8291. - And now, nothing.
  8292. - Wow.
  8293.  
  8294. 1611
  8295. 01:18:46,473 --> 01:18:48,099
  8296. - Nothing at all.
  8297. - Two weeks.
  8298.  
  8299. 1612
  8300. 01:18:48,141 --> 01:18:50,184
  8301. Two weeks, 14 days.
  8302.  
  8303. 1613
  8304. 01:18:50,226 --> 01:18:52,353
  8305. All that medication,
  8306. you're completely off.
  8307.  
  8308. 1614
  8309. 01:18:52,395 --> 01:18:53,813
  8310. Completely off everything.
  8311.  
  8312. 1615
  8313. 01:18:53,854 --> 01:18:56,566
  8314. It's just been so
  8315. frustrating to me because
  8316.  
  8317. 1616
  8318. 01:18:56,608 --> 01:18:59,569
  8319. I went to so many
  8320. different doctors for help,
  8321.  
  8322. 1617
  8323. 01:18:59,611 --> 01:19:04,157
  8324. and I tried so many
  8325. different medications to
  8326. help me with my asthma
  8327.  
  8328. 1618
  8329. 01:19:04,198 --> 01:19:06,159
  8330. and nothing helped, and
  8331. I was stuck on the couch
  8332.  
  8333. 1619
  8334. 01:19:06,200 --> 01:19:09,870
  8335. for the last 10 months
  8336. unable to breathe,
  8337.  
  8338. 1620
  8339. 01:19:09,912 --> 01:19:14,501
  8340. and now in two weeks' time,
  8341. 14 days,
  8342.  
  8343. 1621
  8344. 01:19:14,542 --> 01:19:16,085
  8345. I'm off my medication.
  8346.  
  8347. 1622
  8348. 01:19:16,127 --> 01:19:19,797
  8349. And I can breathe
  8350. and I feel good,
  8351. and I can walk.
  8352.  
  8353. 1623
  8354. 01:19:19,839 --> 01:19:21,882
  8355. My life has changed
  8356. and it only took
  8357.  
  8358. 1624
  8359. 01:19:21,924 --> 01:19:25,219
  8360. two weeks of whole
  8361. plant-based diet.
  8362.  
  8363. 1625
  8364. 01:19:25,261 --> 01:19:27,138
  8365. - That's incredible.
  8366. - Yeah.
  8367.  
  8368. 1626
  8369. 01:19:27,972 --> 01:19:29,641
  8370. That is incredible.
  8371.  
  8372. 1627
  8373. 01:19:29,683 --> 01:19:31,100
  8374. It really is.
  8375.  
  8376. 1628
  8377. 01:19:31,142 --> 01:19:32,810
  8378. - That's amazing.
  8379. - It really is.
  8380.  
  8381. 1629
  8382. 01:19:32,852 --> 01:19:39,233
  8383. I feel so blessed and so good
  8384. and just so happy
  8385. to be doing this
  8386.  
  8387. 1630
  8388. 01:19:39,275 --> 01:19:41,528
  8389. and I'm hoping that
  8390. I can be a role model
  8391.  
  8392. 1631
  8393. 01:19:41,569 --> 01:19:45,657
  8394. for other people
  8395. and not be pushy about it.
  8396.  
  8397. 1632
  8398. 01:19:45,699 --> 01:19:48,660
  8399. Because everyone's gonna
  8400. do it in their own time.
  8401.  
  8402. 1633
  8403. 01:19:48,702 --> 01:19:51,120
  8404. But, thank God my time is now.
  8405.  
  8406. 1634
  8407. 01:19:54,165 --> 01:19:55,416
  8408. That's pretty cool.
  8409.  
  8410. 1635
  8411. 01:19:55,458 --> 01:19:56,834
  8412. Thanks.
  8413.  
  8414. 1636
  8415. 01:19:56,876 --> 01:19:59,587
  8416. Thanks!
  8417.  
  8418. 1637
  8419. 01:19:59,629 --> 01:20:03,466
  8420. [Kip] As powerful as Amy's
  8421. story was, I knew for some,
  8422. eating a hundred percent
  8423.  
  8424. 1638
  8425. 01:20:03,508 --> 01:20:05,760
  8426. plant-based would
  8427. still seem extreme.
  8428.  
  8429. 1639
  8430. 01:20:05,801 --> 01:20:10,431
  8431. I think there's the sense
  8432. that everything's okay
  8433. in moderation.
  8434.  
  8435. 1640
  8436. 01:20:10,473 --> 01:20:15,102
  8437. Right? But we haven't seen
  8438. that moderation works.
  8439.  
  8440. 1641
  8441. 01:20:15,144 --> 01:20:19,315
  8442. There really isn't a study
  8443. that shows that by eating
  8444. meat and eggs in moderation
  8445.  
  8446. 1642
  8447. 01:20:19,357 --> 01:20:22,235
  8448. you can actually turn
  8449. your heart disease around
  8450. and get better.
  8451.  
  8452. 1643
  8453. 01:20:22,276 --> 01:20:25,530
  8454. But, I know people
  8455. who have given up meat
  8456. and they felt sick.
  8457.  
  8458. 1644
  8459. 01:20:25,572 --> 01:20:27,907
  8460. Yeah, it's unlikely
  8461. that anybody's symptoms
  8462.  
  8463. 1645
  8464. 01:20:27,948 --> 01:20:30,744
  8465. are caused by dead
  8466. decaying flesh deficiency.
  8467.  
  8468. 1646
  8469. 01:20:30,785 --> 01:20:33,621
  8470. The lack of highly processed
  8471. animal food products
  8472.  
  8473. 1647
  8474. 01:20:33,663 --> 01:20:35,582
  8475. in the diet is not gonna be
  8476.  
  8477. 1648
  8478. 01:20:35,623 --> 01:20:38,251
  8479. associated with the causal
  8480. factor by why they're sick.
  8481.  
  8482. 1649
  8483. 01:20:38,292 --> 01:20:40,229
  8484. There is gonna be a reason
  8485. why they're not feeling well,
  8486.  
  8487. 1650
  8488. 01:20:40,253 --> 01:20:42,213
  8489. but, that's not gonna be
  8490. one of them.
  8491.  
  8492. 1651
  8493. 01:20:42,255 --> 01:20:44,191
  8494. So, I've had people go vegan,
  8495. and they come back to me and
  8496. they're like,
  8497.  
  8498. 1652
  8499. 01:20:44,215 --> 01:20:47,510
  8500. "I'm hypothyroid and my doctor
  8501. says I'm hypothyroid because
  8502.  
  8503. 1653
  8504. 01:20:47,552 --> 01:20:51,305
  8505. "plant-based diet
  8506. makes you hypothyroid."
  8507.  
  8508. 1654
  8509. 01:20:51,347 --> 01:20:54,975
  8510. I'm like, so what does your
  8511. doctor tell all his meat eaters
  8512. that are hypothyroid?
  8513.  
  8514. 1655
  8515. 01:20:55,017 --> 01:20:59,230
  8516. What's in animal flesh
  8517. or dairy that you can't
  8518. get in plant-based?
  8519.  
  8520. 1656
  8521. 01:20:59,272 --> 01:21:01,065
  8522. Cholesterol.
  8523.  
  8524. 1657
  8525. 01:21:01,107 --> 01:21:03,359
  8526. Heterocyclic amines.
  8527.  
  8528. 1658
  8529. 01:21:03,401 --> 01:21:05,570
  8530. E. coli, you know,
  8531. if you think about it,
  8532.  
  8533. 1659
  8534. 01:21:05,612 --> 01:21:08,864
  8535. there is nothing in an
  8536. animal-based diet
  8537.  
  8538. 1660
  8539. 01:21:08,906 --> 01:21:11,743
  8540. that you can't get
  8541. in a healthier form
  8542. somewhere else.
  8543.  
  8544. 1661
  8545. 01:21:11,785 --> 01:21:14,287
  8546. The only other vitamin
  8547. is vitamin B12.
  8548.  
  8549. 1662
  8550. 01:21:14,328 --> 01:21:16,664
  8551. It's not made by plants,
  8552. not made by animals either,
  8553.  
  8554. 1663
  8555. 01:21:16,706 --> 01:21:18,958
  8556. made by little microbes
  8557. that blanket the Earth.
  8558.  
  8559. 1664
  8560. 01:21:18,999 --> 01:21:21,628
  8561. So, because of the way we
  8562. live in our sanitized world,
  8563.  
  8564. 1665
  8565. 01:21:21,669 --> 01:21:24,422
  8566. unless you're eating
  8567. bacteria-contaminated foods,
  8568.  
  8569. 1666
  8570. 01:21:24,464 --> 01:21:26,549
  8571. we need to get a source
  8572. of B12 from somewhere,
  8573.  
  8574. 1667
  8575. 01:21:26,591 --> 01:21:29,510
  8576. and so the healthiest,
  8577. cheapest, safest source
  8578.  
  8579. 1668
  8580. 01:21:29,552 --> 01:21:33,055
  8581. is to get a vitamin B12
  8582. fortified food
  8583. or vitamin B12 supplement,
  8584.  
  8585. 1669
  8586. 01:21:33,097 --> 01:21:35,308
  8587. not to get it
  8588. from meat and dairy.
  8589.  
  8590. 1670
  8591. 01:21:35,349 --> 01:21:39,312
  8592. [Kip] What about people who say
  8593. they have to eat meat for their
  8594. blood type or, their genes?
  8595.  
  8596. 1671
  8597. 01:21:39,353 --> 01:21:42,565
  8598. It's just like I need
  8599. meat because I'm a Capricorn
  8600.  
  8601. 1672
  8602. 01:21:42,607 --> 01:21:45,168
  8603. or I need meat 'cause I have
  8604. an A plus blood,
  8605. it's like what do you say?
  8606.  
  8607. 1673
  8608. 01:21:45,192 --> 01:21:49,196
  8609. No one has to eat meat.
  8610. There's no vitamin,
  8611. mineral, nutrient
  8612.  
  8613. 1674
  8614. 01:21:49,238 --> 01:21:52,908
  8615. that you can't get from
  8616. non-animal sources.
  8617.  
  8618. 1675
  8619. 01:21:52,950 --> 01:21:56,203
  8620. Valentine's Day,
  8621. I decided to go vegan
  8622.  
  8623. 1676
  8624. 01:21:56,245 --> 01:21:59,999
  8625. and give up all meat, which
  8626. was never in my thoughts
  8627.  
  8628. 1677
  8629. 01:22:00,040 --> 01:22:01,751
  8630. in a while million years,
  8631.  
  8632. 1678
  8633. 01:22:01,793 --> 01:22:05,171
  8634. but I've heard so much success
  8635. from people that are vegan.
  8636.  
  8637. 1679
  8638. 01:22:05,212 --> 01:22:07,923
  8639. And so I gave up all
  8640. animal product whatsoever,
  8641.  
  8642. 1680
  8643. 01:22:07,965 --> 01:22:10,677
  8644. I've lost 29 pounds,
  8645.  
  8646. 1681
  8647. 01:22:10,718 --> 01:22:13,513
  8648. I've been able to
  8649. cut my meds in half,
  8650.  
  8651. 1682
  8652. 01:22:13,554 --> 01:22:15,807
  8653. I've been able
  8654. to cut my insulin in half,
  8655.  
  8656. 1683
  8657. 01:22:15,849 --> 01:22:18,893
  8658. and now I'm going
  8659. for the moon, I'm going
  8660. to go cut it all out.
  8661.  
  8662. 1684
  8663. 01:22:18,934 --> 01:22:22,438
  8664. In the last six weeks,
  8665. we've just had
  8666. three grandchildren.
  8667.  
  8668. 1685
  8669. 01:22:22,480 --> 01:22:24,315
  8670. And my ugly face
  8671. is going to be around
  8672.  
  8673. 1686
  8674. 01:22:24,357 --> 01:22:27,985
  8675. to see 'em graduate from
  8676. high school and college.
  8677. I'm gonna be here.
  8678.  
  8679. 1687
  8680. 01:22:28,027 --> 01:22:31,781
  8681. My mission is to
  8682. let everybody know
  8683. you do not have to suffer
  8684.  
  8685. 1688
  8686. 01:22:31,823 --> 01:22:34,408
  8687. from diabetes and cancer
  8688. and heart disease
  8689.  
  8690. 1689
  8691. 01:22:34,450 --> 01:22:36,243
  8692. because someone
  8693. in your family had it
  8694.  
  8695. 1690
  8696. 01:22:36,285 --> 01:22:39,205
  8697. or because the doctors
  8698. are telling you this is
  8699. what's gonna happen.
  8700.  
  8701. 1691
  8702. 01:22:39,246 --> 01:22:41,499
  8703. You can take charge
  8704. of your health
  8705.  
  8706. 1692
  8707. 01:22:41,541 --> 01:22:44,669
  8708. and have a positive
  8709. outcome just like I did.
  8710.  
  8711. 1693
  8712. 01:22:44,711 --> 01:22:47,714
  8713. The reason I'm so
  8714. committed to this is
  8715.  
  8716. 1694
  8717. 01:22:47,755 --> 01:22:52,510
  8718. my grandmother had diabetes,
  8719. and I didn't know
  8720. what I know now
  8721.  
  8722. 1695
  8723. 01:22:52,552 --> 01:22:54,512
  8724. about healing the body.
  8725.  
  8726. 1696
  8727. 01:22:54,554 --> 01:22:56,138
  8728. And if I did, I feel like
  8729.  
  8730. 1697
  8731. 01:22:56,180 --> 01:22:58,808
  8732. she could've lived at
  8733. least a few years longer.
  8734.  
  8735. 1698
  8736. 01:22:58,850 --> 01:23:00,852
  8737. And so it's in her honor
  8738.  
  8739. 1699
  8740. 01:23:02,562 --> 01:23:04,188
  8741. that I do what I do.
  8742.  
  8743. 1700
  8744. 01:23:04,230 --> 01:23:06,106
  8745. If I could save someone
  8746. else's grandmother,
  8747.  
  8748. 1701
  8749. 01:23:06,148 --> 01:23:09,151
  8750. aunt, uncle, father from that.
  8751.  
  8752. 1702
  8753. 01:23:15,074 --> 01:23:19,328
  8754. So, I'm excited about getting
  8755. the message out there.
  8756.  
  8757. 1703
  8758. 01:23:19,370 --> 01:23:22,248
  8759. [Kip] There's a common belief
  8760. that eating
  8761. plant-based is expensive.
  8762.  
  8763. 1704
  8764. 01:23:22,289 --> 01:23:26,753
  8765. Not at all.
  8766. It can be done in
  8767. a very inexpensive way
  8768.  
  8769. 1705
  8770. 01:23:26,794 --> 01:23:30,924
  8771. where you buy foods that
  8772. are in season and you
  8773. shop in the bulk bins
  8774.  
  8775. 1706
  8776. 01:23:30,965 --> 01:23:32,675
  8777. and that saves a lot of money.
  8778.  
  8779. 1707
  8780. 01:23:32,717 --> 01:23:36,011
  8781. You can eliminate
  8782. a lot of your expenses
  8783.  
  8784. 1708
  8785. 01:23:36,053 --> 01:23:39,348
  8786. on your grocery bill by
  8787. not buying meat and dairy
  8788.  
  8789. 1709
  8790. 01:23:39,390 --> 01:23:41,225
  8791. because those things
  8792. are expensive.
  8793.  
  8794. 1710
  8795. 01:23:41,267 --> 01:23:46,522
  8796. Our meal plan for
  8797. our family of four is $25
  8798. per person in the family.
  8799.  
  8800. 1711
  8801. 01:23:46,564 --> 01:23:48,691
  8802. 20.64 is your total.
  8803.  
  8804. 1712
  8805. 01:23:48,733 --> 01:23:50,526
  8806. [Kip] 20.64? Whoa.
  8807.  
  8808. 1713
  8809. 01:23:50,568 --> 01:23:53,320
  8810. That's for an
  8811. entire week of food.
  8812.  
  8813. 1714
  8814. 01:23:53,362 --> 01:23:55,090
  8815. [Kip] An exploding
  8816. movement of elite athletes
  8817.  
  8818. 1715
  8819. 01:23:55,114 --> 01:23:57,324
  8820. are utilizing vegan
  8821. diets to heal injuries,
  8822.  
  8823. 1716
  8824. 01:23:57,366 --> 01:24:00,453
  8825. speed recovery times and
  8826. enhance their performance.
  8827.  
  8828. 1717
  8829. 01:24:00,494 --> 01:24:05,291
  8830. Before I was vegan, I was
  8831. only bench pressing 315
  8832. like five times.
  8833.  
  8834. 1718
  8835. 01:24:05,332 --> 01:24:08,377
  8836. Then, after going vegan,
  8837. I was doing 400.
  8838.  
  8839. 1719
  8840. 01:24:08,419 --> 01:24:12,131
  8841. 425, 465, and I was
  8842. like, oh my God,
  8843.  
  8844. 1720
  8845. 01:24:12,172 --> 01:24:14,425
  8846. this is amazing, I'm vegan
  8847. and I'm bench pressing
  8848.  
  8849. 1721
  8850. 01:24:14,467 --> 01:24:17,094
  8851. 465 pounds, this is ridiculous.
  8852.  
  8853. 1722
  8854. 01:24:17,136 --> 01:24:20,055
  8855. And as soon as
  8856. I went vegan, tendinitis
  8857. started disappearing.
  8858.  
  8859. 1723
  8860. 01:24:20,097 --> 01:24:22,182
  8861. My strength in my right
  8862. arm started coming back.
  8863.  
  8864. 1724
  8865. 01:24:22,224 --> 01:24:24,101
  8866. High blood pressure
  8867. was going down.
  8868.  
  8869. 1725
  8870. 01:24:24,143 --> 01:24:28,773
  8871. You can't be strong
  8872. and be dying on the inside,
  8873. that's not strong.
  8874.  
  8875. 1726
  8876. 01:24:28,815 --> 01:24:30,900
  8877. That's weak.
  8878. That's really weak.
  8879.  
  8880. 1727
  8881. 01:24:30,942 --> 01:24:32,753
  8882. Because yeah, you look big
  8883. and strong on the outside,
  8884.  
  8885. 1728
  8886. 01:24:32,777 --> 01:24:36,363
  8887. yeah, big man, no,
  8888. but, your heart's
  8889. crying for help,
  8890.  
  8891. 1729
  8892. 01:24:36,405 --> 01:24:38,532
  8893. on the inside you're dying.
  8894.  
  8895. 1730
  8896. 01:24:38,574 --> 01:24:41,995
  8897. I'm a professional parkour
  8898. athlete, a two-time world
  8899. free running champion,
  8900.  
  8901. 1731
  8902. 01:24:42,036 --> 01:24:43,555
  8903. and more recently
  8904. I got into Ninja Warrior
  8905.  
  8906. 1732
  8907. 01:24:43,579 --> 01:24:45,665
  8908. where I'm captain of
  8909. Team Europe as we won
  8910.  
  8911. 1733
  8912. 01:24:45,706 --> 01:24:47,416
  8913. USA versus the world.
  8914.  
  8915. 1734
  8916. 01:24:47,458 --> 01:24:50,044
  8917. For something
  8918. like Ninja Warrior
  8919. and parkour, specifically,
  8920.  
  8921. 1735
  8922. 01:24:50,085 --> 01:24:53,213
  8923. you really need to have
  8924. a good strength to body
  8925. weight ratio,
  8926.  
  8927. 1736
  8928. 01:24:53,255 --> 01:24:55,108
  8929. so I was carrying mass
  8930. that I really didn't need.
  8931.  
  8932. 1737
  8933. 01:24:55,132 --> 01:24:57,468
  8934. And when I went vegan,
  8935. I lost 15, 20 pounds.
  8936.  
  8937. 1738
  8938. 01:24:57,510 --> 01:25:00,596
  8939. I was more agile, I was more
  8940. efficient and more
  8941. stamina in my body.
  8942.  
  8943. 1739
  8944. 01:25:00,638 --> 01:25:02,491
  8945. Just that extra bit of pop
  8946. that I didn't have before,
  8947.  
  8948. 1740
  8949. 01:25:02,515 --> 01:25:04,350
  8950. it just gave me
  8951. that extra strength.
  8952.  
  8953. 1741
  8954. 01:25:04,391 --> 01:25:06,811
  8955. This is a vibrant way to live.
  8956.  
  8957. 1742
  8958. 01:25:06,853 --> 01:25:09,605
  8959. It can enhance you
  8960. as an athlete, for me,
  8961.  
  8962. 1743
  8963. 01:25:09,647 --> 01:25:11,500
  8964. a hundred percent better
  8965. athlete than I was before,
  8966.  
  8967. 1744
  8968. 01:25:11,524 --> 01:25:13,943
  8969. it's unlocked a whole new
  8970. chapter of my training.
  8971.  
  8972. 1745
  8973. 01:25:13,985 --> 01:25:15,587
  8974. The science is there,
  8975. the health is there,
  8976.  
  8977. 1746
  8978. 01:25:15,611 --> 01:25:17,255
  8979. the athletes are there proving
  8980. that you don't need to eat
  8981.  
  8982. 1747
  8983. 01:25:17,279 --> 01:25:19,573
  8984. dead animals to be strong,
  8985. to be healthy.
  8986.  
  8987. 1748
  8988. 01:25:19,615 --> 01:25:22,409
  8989. I started working out
  8990. when I was 47 years old.
  8991.  
  8992. 1749
  8993. 01:25:22,451 --> 01:25:26,080
  8994. All the muscles you see,
  8995. I gained as a vegan.
  8996.  
  8997. 1750
  8998. 01:25:26,121 --> 01:25:30,668
  8999. I gained 15 pounds of muscles
  9000. on my body, eating all
  9001. plant-based and vegan foods.
  9002.  
  9003. 1751
  9004. 01:25:30,710 --> 01:25:34,922
  9005. All the aches and pains
  9006. in my body,
  9007. it just went away.
  9008.  
  9009. 1752
  9010. 01:25:34,964 --> 01:25:37,967
  9011. Because I'm not ingesting
  9012. so many inflaming foods,
  9013.  
  9014. 1753
  9015. 01:25:38,009 --> 01:25:39,927
  9016. the acidic foods
  9017. that animal products are.
  9018.  
  9019. 1754
  9020. 01:25:39,969 --> 01:25:44,431
  9021. Gorillas, rhinos and elephants,
  9022. they all get their
  9023. muscles and strength
  9024.  
  9025. 1755
  9026. 01:25:44,473 --> 01:25:47,518
  9027. from eating plants.
  9028. That's what I do.
  9029.  
  9030. 1756
  9031. 01:25:47,560 --> 01:25:50,396
  9032. [Blanco] I travel all around
  9033. the world for my surfing,
  9034.  
  9035. 1757
  9036. 01:25:50,437 --> 01:25:53,273
  9037. and I've always been
  9038. able to eat vegan.
  9039.  
  9040. 1758
  9041. 01:25:53,315 --> 01:25:56,736
  9042. I feel like
  9043. if you want something
  9044. you can make it happen.
  9045.  
  9046. 1759
  9047. 01:25:56,777 --> 01:26:00,489
  9048. I just don't make any excuses.
  9049. I would never not be vegan
  9050. now that I know
  9051.  
  9052. 1760
  9053. 01:26:00,531 --> 01:26:03,743
  9054. all the benefits
  9055. and now that I know
  9056. how it feels to be vegan.
  9057.  
  9058. 1761
  9059. 01:26:03,784 --> 01:26:08,205
  9060. Every aspect of my life
  9061. has been improved
  9062. by adopting this lifestyle.
  9063.  
  9064. 1762
  9065. 01:26:08,247 --> 01:26:10,875
  9066. I feel better, I perform
  9067. better athletically,
  9068.  
  9069. 1763
  9070. 01:26:10,917 --> 01:26:13,878
  9071. I sleep better, my energy
  9072. with my kids is better,
  9073.  
  9074. 1764
  9075. 01:26:13,920 --> 01:26:15,462
  9076. my focus at work is better.
  9077.  
  9078. 1765
  9079. 01:26:15,504 --> 01:26:17,548
  9080. Everything is better,
  9081. my skin cleared up.
  9082.  
  9083. 1766
  9084. 01:26:17,590 --> 01:26:20,843
  9085. I've kept myself trim for
  9086. nine years now doing this.
  9087.  
  9088. 1767
  9089. 01:26:20,885 --> 01:26:23,679
  9090. All I can tell you
  9091. is that I felt
  9092.  
  9093. 1768
  9094. 01:26:23,721 --> 01:26:27,100
  9095. and I continue to feel better
  9096. than I ever felt before.
  9097.  
  9098. 1769
  9099. 01:26:27,141 --> 01:26:29,769
  9100. My friend Jason Lester and
  9101. I were the first people
  9102.  
  9103. 1770
  9104. 01:26:29,810 --> 01:26:32,813
  9105. to do this challenge
  9106. called Epic Five,
  9107.  
  9108. 1771
  9109. 01:26:32,855 --> 01:26:34,899
  9110. which entailed
  9111. doing five Ironmans
  9112.  
  9113. 1772
  9114. 01:26:34,941 --> 01:26:37,317
  9115. on five Hawaiian islands
  9116. in under a week.
  9117.  
  9118. 1773
  9119. 01:26:37,359 --> 01:26:41,906
  9120. An Ironman is a 2.4 mile swim
  9121. followed by a 112 mile bike
  9122.  
  9123. 1774
  9124. 01:26:41,948 --> 01:26:45,325
  9125. and then running a marathon
  9126. 26.2 miles after that,
  9127.  
  9128. 1775
  9129. 01:26:45,367 --> 01:26:46,869
  9130. so we did five of those in a row
  9131.  
  9132. 1776
  9133. 01:26:46,911 --> 01:26:50,247
  9134. on five different islands
  9135. in a little under a week.
  9136.  
  9137. 1777
  9138. 01:26:50,289 --> 01:26:51,707
  9139. Did you almost die?
  9140.  
  9141. 1778
  9142. 01:26:51,749 --> 01:26:53,542
  9143. No. We didn't die.
  9144.  
  9145. 1779
  9146. 01:26:53,584 --> 01:26:56,184
  9147. So, I guess the famous
  9148. question, where'd you get
  9149. your protein, man?
  9150.  
  9151. 1780
  9152. 01:26:57,588 --> 01:27:00,133
  9153. From plants!
  9154.  
  9155. 1781
  9156. 01:27:00,174 --> 01:27:02,193
  9157. [Kip] Like so many people,
  9158. I was looking for excuses
  9159.  
  9160. 1782
  9161. 01:27:02,217 --> 01:27:03,677
  9162. not to change my diet.
  9163.  
  9164. 1783
  9165. 01:27:03,719 --> 01:27:06,388
  9166. But, once I finally did,
  9167. I felt liberated.
  9168.  
  9169. 1784
  9170. 01:27:06,430 --> 01:27:07,848
  9171. Within days,
  9172. I could feel the blood
  9173.  
  9174. 1785
  9175. 01:27:07,890 --> 01:27:10,184
  9176. running through my veins
  9177. with a new vitality.
  9178.  
  9179. 1786
  9180. 01:27:10,225 --> 01:27:14,396
  9181. Within weeks, I felt
  9182. a transformation throughout
  9183. my entire body and mind.
  9184.  
  9185. 1787
  9186. 01:27:14,438 --> 01:27:17,441
  9187. Not only could I survive
  9188. on a purely plant-based
  9189. vegan diet,
  9190.  
  9191. 1788
  9192. 01:27:17,483 --> 01:27:20,360
  9193. I could thrive.
  9194. I felt amazing.
  9195.  
  9196. 1789
  9197. 01:27:20,402 --> 01:27:22,905
  9198. I competed in my first
  9199. marathon in six years,
  9200.  
  9201. 1790
  9202. 01:27:22,947 --> 01:27:26,659
  9203. training half the amount
  9204. and beat my personal record
  9205. by 23 minutes.
  9206.  
  9207. 1791
  9208. 01:27:26,700 --> 01:27:30,079
  9209. Less than a month later,
  9210. I did my first full Ironman.
  9211.  
  9212. 1792
  9213. 01:27:30,121 --> 01:27:32,039
  9214. Although I could possibly
  9215. get away with eating
  9216.  
  9217. 1793
  9218. 01:27:32,081 --> 01:27:34,017
  9219. a little bit of meat and
  9220. dairy without ill effects
  9221.  
  9222. 1794
  9223. 01:27:34,041 --> 01:27:37,044
  9224. to my personal health,
  9225. I could no longer
  9226. willingly support
  9227.  
  9228. 1795
  9229. 01:27:37,086 --> 01:27:39,254
  9230. an industry I knew was
  9231. causing so much suffering
  9232.  
  9233. 1796
  9234. 01:27:39,296 --> 01:27:42,675
  9235. to communities, families
  9236. and all life on the planet.
  9237.  
  9238. 1797
  9239. 01:27:42,716 --> 01:27:45,970
  9240. A whole new world opened up.
  9241. I felt whole again.
  9242.  
  9243. 1798
  9244. 01:27:46,012 --> 01:27:48,722
  9245. Connected to a greater sense
  9246. of what true health is.
  9247.  
  9248. 1799
  9249. 01:27:48,764 --> 01:27:54,394
  9250. And where true health
  9251. doesn't end with me,
  9252. but begins with us.
  9253.  
  9254. 1800
  9255. 01:27:54,436 --> 01:27:59,566
  9256. If people adopted
  9257. a plant-based diet,
  9258. the changes we would see
  9259.  
  9260. 1801
  9261. 01:27:59,608 --> 01:28:03,988
  9262. in our individual health,
  9263. in our national
  9264. health situation
  9265.  
  9266. 1802
  9267. 01:28:04,030 --> 01:28:07,282
  9268. and in this physical,
  9269. environmental world
  9270. we live in,
  9271.  
  9272. 1803
  9273. 01:28:07,324 --> 01:28:09,326
  9274. would be so profound.
  9275.  
  9276. 1804
  9277. 01:28:09,368 --> 01:28:12,163
  9278. Today, you can say,
  9279.  
  9280. 1805
  9281. 01:28:12,205 --> 01:28:13,914
  9282. I'm not gonna
  9283. eat that stuff anymore.
  9284.  
  9285. 1806
  9286. 01:28:13,956 --> 01:28:17,292
  9287. It's the one thing that I
  9288. can do myself personally
  9289.  
  9290. 1807
  9291. 01:28:17,334 --> 01:28:18,836
  9292. to make a difference.
  9293.  
  9294. 1808
  9295. 01:28:18,878 --> 01:28:21,421
  9296. It will give you
  9297. a greater sense of
  9298. well-being and happiness
  9299.  
  9300. 1809
  9301. 01:28:21,463 --> 01:28:24,508
  9302. when you know that
  9303. one, you're not
  9304. destroying your health
  9305.  
  9306. 1810
  9307. 01:28:24,550 --> 01:28:27,469
  9308. every time you
  9309. sit down and eat,
  9310. you're not promoting cruelty,
  9311.  
  9312. 1811
  9313. 01:28:27,511 --> 01:28:29,513
  9314. and you're not
  9315. damaging the Earth.
  9316.  
  9317. 1812
  9318. 01:28:29,555 --> 01:28:32,599
  9319. I don't want my gains
  9320. to be at the detriment of
  9321. the planet of other things.
  9322.  
  9323. 1813
  9324. 01:28:32,641 --> 01:28:34,476
  9325. And yet I'm not weaker,
  9326. I'm stronger.
  9327.  
  9328. 1814
  9329. 01:28:34,518 --> 01:28:36,038
  9330. That's the beauty of it,
  9331. when you're altruistic,
  9332.  
  9333. 1815
  9334. 01:28:36,062 --> 01:28:37,831
  9335. when you make choices for
  9336. the greater good of others,
  9337.  
  9338. 1816
  9339. 01:28:37,855 --> 01:28:40,566
  9340. it's comes around
  9341. benefits me as well.
  9342. It benefits us all.
  9343.  
  9344. 1817
  9345. 01:28:40,607 --> 01:28:44,403
  9346. Studies show that
  9347. we can not only survive
  9348. but we can thrive.
  9349.  
  9350. 1818
  9351. 01:28:44,444 --> 01:28:48,407
  9352. I just feel this is
  9353. a great way to live,
  9354. not harming other beings.
  9355.  
  9356. 1819
  9357. 01:28:48,448 --> 01:28:51,035
  9358. When you can be
  9359. healthy and happier.
  9360.  
  9361. 1820
  9362. 01:28:51,077 --> 01:28:53,704
  9363. I love it!
  9364. It's a great life.
  9365.  
  9366. 1821
  9367. 01:28:53,746 --> 01:28:57,124
  9368. I never thought that I could
  9369. feel this good at this age.
  9370.  
  9371. 1822
  9372. 01:28:57,166 --> 01:28:59,501
  9373. And I just want everybody
  9374. to feel this way.
  9375.  
  9376. 1823
  9377. 01:28:59,543 --> 01:29:02,046
  9378. I feel like a 20-year-old,
  9379. I'm almost 50.
  9380.  
  9381. 1824
  9382. 01:29:02,088 --> 01:29:05,716
  9383. Nothing tastes as good
  9384. as healthy feels, basically.
  9385.  
  9386. 1825
  9387. 01:29:05,758 --> 01:29:08,219
  9388. And so the choices that
  9389. we make every single day,
  9390.  
  9391. 1826
  9392. 01:29:08,261 --> 01:29:10,637
  9393. day in and day out
  9394. around our food
  9395.  
  9396. 1827
  9397. 01:29:10,679 --> 01:29:14,892
  9398. has the capacity
  9399. to bring us true health
  9400. and optimal wellness.
  9401.  
  9402. 1828
  9403. 01:29:14,934 --> 01:29:17,270
  9404. Not just individually,
  9405. but collectively
  9406.  
  9407. 1829
  9408. 01:29:17,311 --> 01:29:19,897
  9409. as a species and for our planet.
  9410.  
  9411. 1830
  9412. 01:29:19,939 --> 01:29:21,815
  9413. We're not gonna live forever.
  9414.  
  9415. 1831
  9416. 01:29:21,857 --> 01:29:24,526
  9417. But while we are alive,
  9418. we can live well.
  9419.  
  9420. 1832
  9421. 01:29:24,568 --> 01:29:26,946
  9422. And for me, as a doctor,
  9423. that's what I wanna see.
  9424.  
  9425. 1833
  9426. 01:29:26,987 --> 01:29:29,240
  9427. Where there's a will,
  9428. there is a way.
  9429.  
  9430. 1834
  9431. 01:29:30,616 --> 01:29:31,951
  9432. And I believe that.
  9433.  
  9434. 1835
  9435. 01:29:32,910 --> 01:29:35,037
  9436. [Latin music playing]
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