YouTube2Text

Whistleblower Christopher Wylie on Steve Bannon's role in Cambridge Analytica — Transcript

by Washington Post Live · 1,251 words · 180 segments · language en · Watch on YouTube

Full transcript

  1. 0:00then on the video screen behind us they
  2. 0:02showed Steve Fannin the former yeah
  3. 0:06head of Breitbart news the former White
  4. 0:08House official the former head of
  5. 0:09President Trump's campaign I gather you
  6. 0:13knew Steve Madden in his Cambridge
  7. 0:16analytic incarnation yes vice president
  8. 0:18yeah you were a relatively senior
  9. 0:20official in that company
  10. 0:22tell me about Steve Maddens role in
  11. 0:25Cambridge analytic and what it did and
  12. 0:27to what extent he knew about the things
  13. 0:28that was doing including the collection
  14. 0:30of Facebook data well he he knew about
  15. 0:33everything that was going on in the
  16. 0:34company because everything had to be
  17. 0:37authorized by him you know it was it was
  18. 0:39it was it was him and Rebecca Mercer
  19. 0:42together who approved how money was
  20. 0:45spent what projects could be what what
  21. 0:48projects were focused on what they
  22. 0:49weren't and also he was one of the
  23. 0:51people who after you have to remember
  24. 0:53like when when I joined SCL this was
  25. 0:56before even you know Alexander Nix met
  26. 0:58Steve ban and this is you know Cambridge
  27. 1:01analytical wasn't even you know a
  28. 1:02glimmer and I'm you know our eyes yet um
  29. 1:05you know we were we weren't doing alt
  30. 1:08right research we weren't doing all
  31. 1:11right projects that all came when Steve
  32. 1:13Bannon took over so Cambridge analytic
  33. 1:16became Cambridge analytic abhi cuz of
  34. 1:18Steve Bannon he even picked the name
  35. 1:20like every it was his it very much was
  36. 1:23his vision of a company and what he
  37. 1:25wanted to do because when he the the
  38. 1:27problem for for Steve was that you know
  39. 1:30with with with with Breitbart it wasn't
  40. 1:33expanding into the the mainstream in a
  41. 1:37way that he wanted and when you think
  42. 1:39about a culture war you need an arsenal
  43. 1:43of weapons to fight a culture war and so
  44. 1:45the the the notion of using a a foreign
  45. 1:49military contractor that specializes in
  46. 1:52information operations and it's like a
  47. 1:54logical warfare for the military really
  48. 1:56appealed to him because he could then
  49. 1:57use that company and the big old
  50. 1:59informational weapons let me just
  51. 2:02clarify this for a second so there was
  52. 2:04an underlying company s CL group yeah
  53. 2:06based in London yeah that did would use
  54. 2:08psychological operations or the military
  55. 2:11including for the Department of Defense
  56. 2:12here including our own
  57. 2:13US government yeah British government
  58. 2:15and out of that is born Cambridge
  59. 2:17analytic ah when Rebecca Mercer and her
  60. 2:19father invest yeah millions of dollars
  61. 2:21Cambridge analytical becomes essentially
  62. 2:23an American brand of the SEL yeah it it
  63. 2:26it acquired the intellectual property of
  64. 2:28SC I'll put that into a new company in
  65. 2:32America called Cambridge analytic then
  66. 2:33license back the same IP it's a SC l and
  67. 2:36then had an agreement where all all
  68. 2:39contracts had to then go to SC l so
  69. 2:43they're like Cambridge analytic I didn't
  70. 2:44have any staff right Cambridge
  71. 2:46analytical was a concept it was a brand
  72. 2:48it was an American thing so that's you
  73. 2:51know because it would look optically bad
  74. 2:54you know this is one of the things that
  75. 2:55I later learned is that they were
  76. 2:57concerned that the optics of using a
  77. 2:59foreign military contractor in American
  78. 3:01elections would not play well what were
  79. 3:05they thinking so but it was it was an
  80. 3:09idea that was based had an office in
  81. 3:11Manhattan am i right right yeah I mean
  82. 3:13they they eventually set up an office
  83. 3:16incorporated in Delaware yeah and the
  84. 3:18Vice President was C Bannon and the
  85. 3:20president was Rebecca Mercer and the
  86. 3:23most important financial backer was Bob
  87. 3:25Mercer
  88. 3:25so this sovereign is certainly like a
  89. 3:27substantial American footprint in the
  90. 3:29end but all of the work was being done
  91. 3:31where in in London so the the the bulk
  92. 3:37of the you know there was almost no
  93. 3:39Americans working in the in the company
  94. 3:41because it wasn't Minh the IP got
  95. 3:45acquired we weren't working in the
  96. 3:47United States and you know the the
  97. 3:51problem is and they were warned you know
  98. 3:53repeatedly that by lawyers by Rudy
  99. 3:57Giuliani's law firm sent a memo to Steve
  100. 4:00Bannon saying hey you know you can't
  101. 4:03have foreign agents operating in an
  102. 4:05election that you can't do that and they
  103. 4:08completely disregarded that and just
  104. 4:10kept in kappa go away i remember having
  105. 4:12conversations with them going you you
  106. 4:15need to create an american team to be
  107. 4:17compliant so if you were in london and
  108. 4:19they're in new york or watch where ever
  109. 4:21how are you interacting with steve
  110. 4:22madden well he would he would come he
  111. 4:24would come so he would come
  112. 4:26to London all the time because he was
  113. 4:29also setting up Breitbart UK so he had a
  114. 4:32lot of projects on the go in in in
  115. 4:35London and and so he would be there
  116. 4:39frequently but you know conference calls
  117. 4:41and whatnot what was he like it's funny
  118. 4:45because there's two I remember two
  119. 4:48different the Benin's so one when it was
  120. 4:50before he took over and I actually quite
  121. 4:52enjoyed talking to him because one of
  122. 4:54the first conversations that I had with
  123. 4:55him was on like the intersectional
  124. 4:58nature of identity because he was quite
  125. 5:00interested in that and you know one of
  126. 5:04the things he taught he was really
  127. 5:05interested in culture and he you know
  128. 5:08because the Breitbart doctoring is that
  129. 5:11politics flows from culture it's
  130. 5:13downstream from culture so if you want
  131. 5:14to change politics you have to change
  132. 5:16culture and one of the things that I
  133. 5:18said is like well but you can't define
  134. 5:20what culture is you haven't told me what
  135. 5:22culture is and until you define it you
  136. 5:24can't measure it and if you can't
  137. 5:25measure it you don't know what you're
  138. 5:26doing you're just stabbing in the dark
  139. 5:27and so one of the things that I said is
  140. 5:29I said well if you look at the words and
  141. 5:32language that we use to describe
  142. 5:34different cultures and the words and
  143. 5:38language that we use to describe
  144. 5:39ourselves if people often they're the
  145. 5:40same adjectives right so if you just
  146. 5:43indulge in some stereotyping for a
  147. 5:44second what are Italians like maybe
  148. 5:47they're more passionate maybe they're
  149. 5:48more neurotic they're louder if what our
  150. 5:50Germans like they're sorry if I'm like
  151. 5:52offending people you know there there
  152. 5:55might be more organized more dutiful and
  153. 5:58and when you look at that from a data
  154. 6:01scientist perspective actually what
  155. 6:03you're probably describing is just a
  156. 6:04curve and you're describing that there's
  157. 6:07the where the mean is on this curve is
  158. 6:09is slightly higher or lower on certain
  159. 6:13on certain traits or certain
  160. 6:15characteristics of people and so the
  161. 6:18building blocks of culture maybe our
  162. 6:20people and their personalities and that
  163. 6:23in the aggregate that is what what
  164. 6:25creates culture that it is a
  165. 6:29an aggregation of our commonly shared
  166. 6:32characteristics and so if you wanted to
  167. 6:36measure culture and you want to change
  168. 6:39culture you first would need to measure
  169. 6:40people and once you create a measurement
  170. 6:43of people that corresponds to culture
  171. 6:45when you want to move this curve one way
  172. 6:48or the other you can literally create a
  173. 6:50list of people you know that you need to
  174. 6:52move that that one standard deviation
  175. 6:55out and then that becomes your target
  176. 6:57universe and so he found that really
  177. 7:00interesting he also likes the idea that
  178. 7:03we were working on military projects and
  179. 7:05and he was the one that convinced Bob to
  180. 7:08to buy into it

About this transcript

This page contains the full transcript of Whistleblower Christopher Wylie on Steve Bannon's role in Cambridge Analytica by Washington Post Live, generated from the public captions YouTube serves with the video. The transcript has 1,251 words across 180 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.