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Jul 23rd, 2014
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  1. [
  2. {
  3. "id":"72",
  4. "name":"number_of_fingers",
  5. "description":"measures typing speed, accuracy and common typo errors to gauge if the website visitor has human digit damage.",
  6. "values":[
  7. "7",
  8. "10",
  9. "8",
  10. "9"
  11. ]
  12. },
  13. {
  14. "id":"61",
  15. "name":"identify_salary_level",
  16. "description":"measures the cost of cars that are subject to mouse over and extrapolates average values into suggested salary level.",
  17. "values":[
  18. "GOT_MONEY",
  19. "MADE_of_CASH",
  20. "brassic",
  21. "SKINT"
  22. ]
  23. },
  24. {
  25. "id":"51",
  26. "name":"regional_ethnicity",
  27. "description":"looks for specific keywords such as \"mon\" and \"spaziba\" and \"yo\" and \"tattie\" to identify ethnic origin. Once labelled, this cannot be undone.",
  28. "values":[
  29. "MACKEM",
  30. "COCKNEY",
  31. "NORFOLK",
  32. "SCOTTISH",
  33. "WELSH",
  34. "GEORDIE"
  35. ]
  36. },
  37. {
  38. "id":"109",
  39. "name":"identify_visitor_species",
  40. "description":"can identify if a cat has walked on the keyboard, or if a dog has jumped up on the user's desk. Or if the user is in fact, human.",
  41. "values":[
  42. "idiot",
  43. "human",
  44. "replicant",
  45. "robot"
  46. ]
  47. },
  48. {
  49. "id":"65",
  50. "name":"how_gullible_is_visitor",
  51. "description":"sees how many times this cookie viewer is invoked to determine the gullibility and stupidity of visitors.",
  52. "values":[
  53. "VERY",
  54. "A_BIT",
  55. "COMPLETELY",
  56. "NOT_AT_ALL"
  57. ]
  58. },
  59. {
  60. "id":"85",
  61. "name":"favourite_animal_noise",
  62. "description":"monitors any accidentally open audio channels, to determine if the user snorts or chuckles while browsing and then compares the wavelength of the noise with a table of animal sounds.",
  63. "values":[
  64. "BAAAAA",
  65. "TWEET",
  66. "OINK",
  67. "GRUNT",
  68. "PURR",
  69. "MOO",
  70. "MEOW"
  71. ]
  72. },
  73. {
  74. "id":"47",
  75. "name":"alcohol_consumption_units",
  76. "description":"measures mis-typos and wrong keystrokes and can determine erratic Cap Lock key use and compare it to a mg\/ml of alcohol\/blood content.",
  77. "values":[
  78. "LOW",
  79. "HIGH",
  80. "PISS-HEAD"
  81. ]
  82. },
  83. {
  84. "id":"94",
  85. "name":"is_visitor_ginger",
  86. "description":"monitors accidentally open video feeds (ie. webcams) and measures the occurrence of ginger Hex Code #B06500 and RGB code 176, 101, 0 on the pixel display return. Modifies prices, based on likelihood of visitor being Scottish.",
  87. "values":[
  88. "no",
  89. "irn_bru",
  90. "ginger_nut",
  91. "yes"
  92. ]
  93. },
  94. {
  95. "id":"10",
  96. "name":"customer_age",
  97. "description":"uses click-reaction timing to identify the approximate age of the customer.",
  98. "values":[
  99. "24",
  100. "25",
  101. "21",
  102. "27",
  103. "22",
  104. "46",
  105. "23",
  106. "28",
  107. "59",
  108. "26",
  109. "38"
  110. ]
  111. },
  112. {
  113. "id":"91",
  114. "name":"ideal_car",
  115. "description":"checks car pictures viewed, compares the time they are on screen and determines the ideal car for the visitor.",
  116. "values":[
  117. "MERCEDES",
  118. "BMW",
  119. "FORD",
  120. "CITROEN",
  121. "FIAT"
  122. ]
  123. },
  124. {
  125. "id":"101",
  126. "name":"steal_credit_card_no",
  127. "description":"monitors visitor keyboard outputs to determine any 4 digit number groupings. Then, parses them through a proxy Amazon account to check if they are valid credit or debit card numbers. If TRUE, buys random Kindle books.",
  128. "values":[
  129. "if_possible",
  130. "mais_oui",
  131. "of-course",
  132. "yes",
  133. "ideally_yes"
  134. ]
  135. },
  136. {
  137. "id":"20",
  138. "name":"log_braincell_count",
  139. "description":"takes the results of answers selected by visitors as they react to the website to determine average stupidity. ",
  140. "values":[
  141. "HIGH",
  142. "LOW",
  143. "IQ-SIZE"
  144. ]
  145. },
  146. {
  147. "id":"46",
  148. "name":"hair-colour+shampoo_type",
  149. "description":"uses monitor reflection technology to determine the lumen return and head-shaking of the hairy user.",
  150. "values":[
  151. "PANTENE",
  152. "LOREAL",
  153. "HEAD&SHOULDERS",
  154. "VO5",
  155. "HERBAL-ESSENCE"
  156. ]
  157. },
  158. {
  159. "id":"25",
  160. "name":"find_bank_account_NUMBER",
  161. "description":"persuades visitors to subliminally mouse-over integer characters on the website and builds them into a bank account number format. It is 8% reliable.",
  162. "values":[
  163. "02948955",
  164. "85335491",
  165. "99732001"
  166. ]
  167. },
  168. {
  169. "id":"17",
  170. "name":"detect_colour_underwear",
  171. "description":"uses predictive technology to associate the colour of mouse-over areas with the colour of the visitor's underwear.",
  172. "values":[
  173. "YELLOW",
  174. "BLUE",
  175. "RED",
  176. "PINK"
  177. ]
  178. },
  179. {
  180. "id":"39",
  181. "name":"computer_type",
  182. "description":"watches the browser signature and compares this with logical information such as the colour of the default font. Dim grey indicates Mac, bright grey indicates Linux and black indicates Windowz.",
  183. "values":[
  184. "iphone",
  185. "mac",
  186. "mr-data",
  187. "blackberry",
  188. "blueberry",
  189. "android",
  190. "toaster",
  191. "windows",
  192. "linux",
  193. "raspberry_pie"
  194. ]
  195. },
  196. {
  197. "id":"28",
  198. "name":"sexual_orientation",
  199. "description":"watches how often visitors make irrational decision changes and identifies those people who are schizophrenic as: FEMALE.",
  200. "values":[
  201. "male",
  202. "female",
  203. "catholic",
  204. "small_rodents"
  205. ]
  206. },
  207. {
  208. "id":"115",
  209. "name":"favourite_biscuit",
  210. "description":"can detect missed key-strokes caused by crumbs jamming the user keyboard. Compares results over a long period of time to determine typical biscuit type.",
  211. "values":[
  212. "penguin",
  213. "rich_tea",
  214. "digestive",
  215. "bourbon",
  216. "garibaldi",
  217. "custard_cream"
  218. ]
  219. },
  220. {
  221. "id":"78",
  222. "name":"what_colour_socks",
  223. "description":"compares online behaviour and mouse movements to a table of colours and while the result may sometimes be accurate, it is more often completely wrong.",
  224. "values":[
  225. "pink",
  226. "red",
  227. "null",
  228. "blue",
  229. "squirrel"
  230. ]
  231. },
  232. {
  233. "id":"56",
  234. "name":"FAVOURITE_TV_SHOW",
  235. "description":"looks for typing behaviour that is consistently TV content related, and synchronised with advert breaks in popular TV shows to identify socio-economic classifications. Such as BGT viewers.",
  236. "values":[
  237. "cORRie",
  238. "EastEnders",
  239. "eMMerdaLE",
  240. "NEWSNIGHT",
  241. "Apprentice"
  242. ]
  243. },
  244. {
  245. "id":"69",
  246. "name":"LOL_ugliness",
  247. "description":"uses reactions of interacting users online (eg ICQ, Twitter and Facebook profiles) to determine how ugly the visitor may be. Experimental only.",
  248. "values":[
  249. "BLOODY_UGLY",
  250. "just_a_bit_ugly",
  251. "ugly_bugger"
  252. ]
  253. },
  254. {
  255. "id":"3",
  256. "name":"customer_gender",
  257. "description":"identifies customer gender by use of subtle observations about the number of times the customer changes their mind.",
  258. "values":[
  259. "transgender",
  260. "female",
  261. "male"
  262. ]
  263. },
  264. {
  265. "id":"22",
  266. "name":"identify_left_or_right_hand_mouse",
  267. "description":"uses speed-of-response measurements to determine if user is right or left-handed. Can also detect Mac users.",
  268. "values":[
  269. "left",
  270. "mighty-mouse",
  271. "right"
  272. ]
  273. },
  274. {
  275. "id":"104",
  276. "name":"uses_vaseline_daily",
  277. "description":"measures mis-types based on next-letter QWERTY slips. If occurs frequently, can determine if fingers are slippy or sloppy against a tabled Vaseline scale.",
  278. "values":[
  279. "every_day",
  280. "all_the_time",
  281. "yes"
  282. ]
  283. },
  284. {
  285. "id":"76",
  286. "name":"car_buyer?",
  287. "description":"uses complex mathematical equations to tell if the visitor is likely to lease a car. Or not.",
  288. "values":[
  289. "YES_YES_YES_YES"
  290. ]
  291. }
  292. ]
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