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2017/08/08: James Damore and his Google Memo on Diversity (complete) — Transcript

by Jordan B Peterson · 8,327 words · 1,273 segments · language en · Watch on YouTube

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  1. 0:01hello so some of you may have heard
  2. 0:05about the leaked Google memo that has
  3. 0:09been circulating virally around the
  4. 0:11internet for the last couple of days
  5. 0:13that was written by James deore who was
  6. 0:16fired for it last night and uh a
  7. 0:20colleague of his reached out to me and
  8. 0:22put us together and so I'm going to talk
  9. 0:24to James today about exactly what
  10. 0:26happened and why and perhaps what should
  11. 0:29be done about it so
  12. 0:34uh so that's what we're going to do and
  13. 0:37the interview I had with him which
  14. 0:38finished at about 3:00 on Tuesday August
  15. 0:428th follows immediately after this
  16. 0:46introduction hi everybody I'm speaking
  17. 0:49today with James
  18. 0:52deore and an unidentified Google
  19. 0:55employee who wishes to remain anonymous
  20. 0:59um for reasons that I think are obvious
  21. 1:02and James last week put his hand in a
  22. 1:06blender by circulating an internal memo
  23. 1:09that I would say has become somewhat
  24. 1:11Infamous so James let's start with let's
  25. 1:14start with a bit of discussion about you
  26. 1:16tell us who you are about your
  27. 1:18background and about what you were doing
  28. 1:20at
  29. 1:20Google I yes so I I was actually just
  30. 1:26you know I really interested in science
  31. 1:28and psychology and stuff Stu and then I
  32. 1:32really liked puzzles and that's how I
  33. 1:33got into Google actually I did one of
  34. 1:35their coding competitions they just
  35. 1:37recruited me out of that and so at
  36. 1:40Google I was mostly working on search
  37. 1:44and image and video search in
  38. 1:46particular and so what's tell us about
  39. 1:48your educational background a
  40. 1:51bit uh yes so I just did a random
  41. 1:56science and math and undergrad and I
  42. 1:59ended up with a I didn't really know
  43. 2:00what I was going to do so I I started
  44. 2:03doing research at MIT and then uh I went
  45. 2:07to uh systems biology at Harvard I
  46. 2:11initially wanted to work with Martin NOC
  47. 2:13he's really great in
  48. 2:15evolution and Game Theory but uh then I
  49. 2:18started working on other
  50. 2:20things so tell us a bit about systems
  51. 2:23biology what what is that exactly what
  52. 2:24kind of research were you doing at
  53. 2:27MIT I yes so systems biology has many
  54. 2:31different meanings but it's generally
  55. 2:34just mathematical
  56. 2:37biology and uh I guess seeing biological
  57. 2:41systems as a whole rather than just
  58. 2:43individual
  59. 2:44molecules and so I I like looking at
  60. 2:47populations and so my interest in
  61. 2:51evolution so why did that make you a
  62. 2:54viable candidate at Google do you
  63. 2:58think uh I think just saw a smart guy
  64. 3:01that could
  65. 3:03code fair enough now you've been there
  66. 3:06three years is that correct but also as
  67. 3:07an intern before that yeah so about four
  68. 3:10years total and so how would you say
  69. 3:13you've performed as an employee at
  70. 3:14Google have people been happy with you
  71. 3:16or have you been in trouble or no Ian I
  72. 3:20got promoted twice my last review was uh
  73. 3:23the highest possible superb which is the
  74. 3:26top few
  75. 3:27percentile so I definitely wasn't based
  76. 3:30on performance that they fired me and
  77. 3:33have you enjoyed working at Google has
  78. 3:35it been a good
  79. 3:36experience yeah I mean I love Google
  80. 3:39that's the horrible part like I've
  81. 3:41always been the biggest Google Fanboy
  82. 3:45all like I've never had an iPhone I've
  83. 3:48always tried to convince my friends to
  84. 3:49use Android and all these different
  85. 3:51things
  86. 3:53and yeah I mean this just puts a sour
  87. 3:57taste in my mouth okay so so you've got
  88. 3:59a good educational background you were
  89. 4:01interested in things that Google would
  90. 4:02be interested in you're good coder
  91. 4:05you've worked with them for a number of
  92. 4:06years and done an excellent job and
  93. 4:08you're pretty Pro Google that's
  94. 4:10basically the background yeah okay now
  95. 4:13last week you wrote a memo which has
  96. 4:16attracted a tremendous amount of
  97. 4:18attention and in that memo you you made
  98. 4:21a number of claims and the claims were
  99. 4:24and please correct me if I've got this
  100. 4:26if I'm not summarizing this properly you
  101. 4:28were attempting to to describe reasons
  102. 4:31why there might why a lack of gender
  103. 4:35parity might exist within Google for
  104. 4:37example and within engineering more
  105. 4:39broadly but also in occupations more
  106. 4:41broadly and you um you laid out a very
  107. 4:45elaborated document and I reviewed it
  108. 4:47and as far as I can tell your opinions
  109. 4:51are well supported by the relevant
  110. 4:54psychological science and I think what
  111. 4:55I'll do in the description of this video
  112. 4:58when I link it is
  113. 5:00putting the references so that people
  114. 5:02can decide for themselves I want to put
  115. 5:03up a web page about gender differences
  116. 5:05in general but I'll try to hit the
  117. 5:06highlights for this particular document
  118. 5:10so why did you do
  119. 5:13this uh yeah so about a month and a half
  120. 5:17ago I went to one of our diversity
  121. 5:20Summits all of it unrecorded and super
  122. 5:24secret and they told me a lot of things
  123. 5:27that I thought just we're not right okay
  124. 5:31what do you mean unrecorded in super
  125. 5:33secret well I mean they were telling us
  126. 5:36about a lot of these potentially illegal
  127. 5:39practices that they've been doing to try
  128. 5:42to increase
  129. 5:43diversity and what kind of
  130. 5:47practices uh well basically treating
  131. 5:49people differently based on what their
  132. 5:52race or gender
  133. 5:54racism yeah
  134. 5:56basically I see and so and it was Ultra
  135. 5:59secret and unrecorded in what
  136. 6:02Manner uh yeah so I mean most meetings
  137. 6:05at Google are recorded anyone Google can
  138. 6:08watch it we're trying to be really open
  139. 6:10about everything except for this you
  140. 6:13they don't want any paper trail for any
  141. 6:15of these things okay
  142. 6:18why because I think it's illegal and I
  143. 6:22mean as some of the internal polls
  144. 6:24showed there were a large percent of
  145. 6:26people that agreed with me on the
  146. 6:28document and so if everyone got to see
  147. 6:31this stuff then you know they would
  148. 6:35really bring up some criticism yeah well
  149. 6:38a large number of people in Google and a
  150. 6:40very large number of well-informed
  151. 6:42biological scientists we might also add
  152. 6:45so I mean I was quite I was quite um
  153. 6:47struck by your document given that you
  154. 6:51know it would have been a decent
  155. 6:52document for a well-informed
  156. 6:53psychologist research psychologist to
  157. 6:56write but you're somewhat of an outsider
  158. 6:58but you've got the you got the
  159. 7:00highlights accurate as far as I'm
  160. 7:02concerned so okay so you went to this
  161. 7:04diversity meeting and you weren't happy
  162. 7:07with the sorts of things that you were
  163. 7:08being told and with the practices is is
  164. 7:11that both correct yeah and what were you
  165. 7:13being
  166. 7:15told uh well so
  167. 7:18that I there's a lot of ways in which
  168. 7:21they pressure people to increase the
  169. 7:24diversity of their team and you know
  170. 7:27there's no way to do that besides
  171. 7:29actually choosing someone based on their
  172. 7:31race or gender right what do they mean
  173. 7:34by diversity
  174. 7:36precisely uh I me more women or
  175. 7:41underrepresented racial
  176. 7:44minorities no can I jump in yeah um I I
  177. 7:48would hesitate to say that that's 100%
  178. 7:51true across 100% of right so the
  179. 7:55organization that I'm in I have not
  180. 7:57personally seen anything that I would
  181. 7:59team cross the line um you know I
  182. 8:02personally believe that there are a good
  183. 8:04amount of synergies to be found if you
  184. 8:06can combine you know slightly different
  185. 8:10ideologies um into a room and that is
  186. 8:13the the thesis that some groups are
  187. 8:15working towards um obviously there's
  188. 8:18going to be a distribution of how people
  189. 8:21follow the rules um and you know it's
  190. 8:24unfortunate to hear that it's you know
  191. 8:28it could be that some people fall to the
  192. 8:30wrong side of that distribution but um
  193. 8:32that certainly wouldn't it would not
  194. 8:34apply to everybody well it certainly
  195. 8:36also it certainly also distressing to
  196. 8:38hear that there is acceptance of the
  197. 8:40idea that diversity can be mapped onto
  198. 8:44race and gender especially with regards
  199. 8:45to Performance because there's no
  200. 8:47evidence for that whatsoever so okay so
  201. 8:50you went to this meeting and then you
  202. 8:52you decided to write this document and
  203. 8:54um how long had you been working on it
  204. 8:57before you released it uh yes so I was
  205. 9:01doing it like throughout my free time I
  206. 9:05and I just wanted to clarify my thoughts
  207. 9:07on this and I really just wanted to be
  208. 9:08proven wrong because you know if what I
  209. 9:11was saying was right then something bad
  210. 9:12is happening and so yeah about a month
  211. 9:16ago I submitted to feedback to that
  212. 9:19program and you know I saw that people
  213. 9:21looked at it but no one actually said
  214. 9:23anything and what sort of feedback did
  215. 9:25you
  216. 9:27submit uh I mean I basically said what I
  217. 9:29said in the in the document and then I
  218. 9:31linked to the document
  219. 9:33itself and so I actually published this
  220. 9:36about a month
  221. 9:37ago and it was only after it got viral
  222. 9:41and then leaked to the news that Google
  223. 9:45started carrying okay so how did it go
  224. 9:47viral and and do you know and how was it
  225. 9:50leaked uh yeah
  226. 9:52so I there was a group at Google called
  227. 9:55Skeptics and so I was like okay maybe
  228. 9:58they'll be able to prove me wrong in
  229. 10:00some way like they're skeptical about
  230. 10:02things right I don't know I was naive I
  231. 10:05guess and so I sent them a message like
  232. 10:08okay what do you think about this is
  233. 10:10Google in some sort of echo chamber or
  234. 10:12am I in an echo
  235. 10:14chamber
  236. 10:16and you know then it just exploded after
  237. 10:19that and you know our
  238. 10:22internal yeah it was just spread
  239. 10:24throughout all of Google do you and do
  240. 10:27you know was it the was it was it the
  241. 10:29Skeptics group that started to spread it
  242. 10:32around yeah and then there were a lot of
  243. 10:35upper management that uh you know
  244. 10:39specifically called it out and started
  245. 10:41saying how harmful it is and how it's
  246. 10:44unacceptable this sort of viewpoint is
  247. 10:46not allowed at Google yeah what sort of
  248. 10:49viewpoint exactly the idea that there
  249. 10:52are differences between men and women
  250. 10:53that actually might play a role in in in
  251. 10:56in in the in the in the corporate world
  252. 10:59that that's an opinion that's not
  253. 11:01acceptable yeah it seems
  254. 11:04so well I mean you know understandably
  255. 11:07it is this these issues are tricky
  256. 11:10morally and politically but the thing
  257. 11:12that was disturbing to me about watching
  258. 11:15the response to you is that as far as I
  259. 11:17can tell there isn't anything that you
  260. 11:18said in that paper first of all that is
  261. 11:20in fact biased in a manner that should
  262. 11:23open you up to the sorts of charges that
  263. 11:25have been opened up against you or that
  264. 11:27violates the scientific liter as it
  265. 11:29currently stands so both of those are
  266. 11:33rather
  267. 11:34distressing yeah and there's a lot of
  268. 11:37misrepresentation by upper management
  269. 11:40just to silence me I think yes and why
  270. 11:43is that do you think like why why is it
  271. 11:45that Google couldn't have actually do
  272. 11:47you think that Google couldn't have come
  273. 11:48out and had an intelligent discussion
  274. 11:50about this instead of well first of all
  275. 11:52releasing like Dan I read Danielle
  276. 11:54Brown's response to you which I thought
  277. 11:56was absolutely appalling ill-informed
  278. 11:58and paing and then they fired you which
  279. 12:01seems to be like a really bad PR move
  280. 12:03but more importantly doesn't actually
  281. 12:05deal with the issues at hand you know
  282. 12:07they're basically saying something like
  283. 12:10well what was their rationale for firing
  284. 12:12you exactly what was the excuse that was
  285. 12:14given so the official excuse was that I
  286. 12:17was perpetuating gender stereotypes that
  287. 12:19you were perpetuating gender
  288. 12:22stereotypes yeah and did they say
  289. 12:24anything else about your performance or
  290. 12:26about anything else that you had done no
  291. 12:29it was that was the only reason and who
  292. 12:32who who fired you
  293. 12:34technically it was my HR representative
  294. 12:39and my
  295. 12:40director okay and do you and do do you
  296. 12:44have any idea on Whose orders they were
  297. 12:46acting or if this was something that
  298. 12:48they conjured up themselves or I I'm
  299. 12:51sure it probably went from higher up
  300. 12:53than
  301. 12:54that because I this is a huge PR move so
  302. 13:00they would need approval from right hup
  303. 13:02right and I think the CEO the CEO
  304. 13:05actually made some comments about the
  305. 13:06issue today which I'll probably cut into
  306. 13:09this video as we as I edit it so yeah
  307. 13:13okay all right so the first question is
  308. 13:17how are you
  309. 13:19doing I'm doing okay I there's a lot of
  310. 13:22messages that I'm trying to sort through
  311. 13:24and just trying to figure out what I
  312. 13:27should do now but
  313. 13:30yeah you've been given some interesting
  314. 13:31job offers as far as I can
  315. 13:34tell yeah I've gotten a surprising
  316. 13:36amount as a part yeah yeah well I
  317. 13:39suspect in fact I'm virtually certain
  318. 13:41that you have a majority Viewpoint it's
  319. 13:44just that the people who hold the
  320. 13:45alternative perspective which are the
  321. 13:48radical social constructionist types who
  322. 13:50insist that everything is a consequence
  323. 13:52of socialization they're a little bit
  324. 13:54more organized politically but they're
  325. 13:56clearly wrong scientifically they're
  326. 13:57wrong factually they're wrong ethically
  327. 14:00for that matter so so you you probably
  328. 14:04have more support than you think and
  329. 14:05it'll be very interesting to see how
  330. 14:06that turns out so so what do you think
  331. 14:10about having written this or I mean now
  332. 14:13your life is going to be turned upside
  333. 14:14down and for quite a while I suspect I
  334. 14:16mean so you put yourself out on the line
  335. 14:18doing this so what do you think about
  336. 14:24that
  337. 14:26I it definitely sucks but
  338. 14:30I mean at least I was proven right you
  339. 14:33know when what do you mean by proven
  340. 14:34right well just that the whole uh
  341. 14:40culture just tries to silence any
  342. 14:42dissenting
  343. 14:44View and that we really need
  344. 14:48some more objective way of looking at
  345. 14:50these things yeah well I felt the same
  346. 14:53way when the University of Toronto
  347. 14:55decided to you
  348. 14:57know attempt to shut me down down after
  349. 14:59I made my videos I thought well that
  350. 15:01just proves my point yeah cuz I mean I
  351. 15:03made the videos saying well I don't like
  352. 15:05the climate that's developing it it's
  353. 15:07making it very difficult to have
  354. 15:08conversations about certain things and
  355. 15:10your example is even more egregious I
  356. 15:13think because you know I at least
  357. 15:16objected to a piece of legislation that
  358. 15:19in principle would have been of benefit
  359. 15:21to an identifiable group let's say the
  360. 15:23transgender group I don't believe it is
  361. 15:25of any benefit to them but you could
  362. 15:26make a case that it was but you all you
  363. 15:29did as far as I can tell is review the
  364. 15:31modern personality literature and the
  365. 15:34literature on individual differences
  366. 15:36relating to men and women and and other
  367. 15:38groups and there's actually not very
  368. 15:40much opinion in your piece at all so
  369. 15:43what that means is that it is not
  370. 15:46possible to actually have a discussion
  371. 15:48about the scientific literature on these
  372. 15:51issues without putting yourself at risk
  373. 15:53and that's a hell of a thing for an
  374. 15:54engineer because I mean engineer isn't
  375. 15:58re rely on
  376. 15:59the facts as far as I can tell and one
  377. 16:02of the things I like about engineers is
  378. 16:03that they tend to stick fairly closely
  379. 16:05to the facts they're not a very
  380. 16:07political
  381. 16:08group you know generally speaking
  382. 16:10they're much more
  383. 16:14practical yeah I I don't know how they
  384. 16:17can expect to silence so many engineers
  385. 16:20and intelligent people and just deny
  386. 16:24science like this yeah well the question
  387. 16:27too is what are your supporters within
  388. 16:29Google going to do because you know I
  389. 16:31would say you're a great warning
  390. 16:34man
  391. 16:36because you you showed what happened to
  392. 16:38you showed exactly what happens if you
  393. 16:41have
  394. 16:43enough I don't know what you'd call it
  395. 16:46curiosity and courage I
  396. 16:49suppose but but mostly curiosity to lay
  397. 16:52out what you think for discussion I mean
  398. 16:55even when you opened this conversation
  399. 16:57you said that you know you weren't
  400. 17:00jumping up and down and insisting you
  401. 17:02were right you were trying to lay out
  402. 17:03what you understood from doing a fair
  403. 17:05bit of reading and and and make the case
  404. 17:08that the these facts the facts about the
  405. 17:12differences between men and women and
  406. 17:13employment choice and and payment and
  407. 17:15all that aren't being discussed and
  408. 17:17they're not being discussed I mean we
  409. 17:19know for example and I'll put this
  410. 17:20citation in the in the description it's
  411. 17:23been very difficult for the the swedes
  412. 17:26for example to flatten out the gender
  413. 17:29distribution for engineers in Sweden and
  414. 17:31in and in and in the Scandinavian
  415. 17:33countries in general despite their
  416. 17:36Advanced social engineering let's call
  417. 17:38it and they also can't get male nurses
  418. 17:40you know I think it's four out of five
  419. 17:42nurses in Scandinavia if I remember
  420. 17:44correctly are female and the reverse
  421. 17:47number are are Engineers are male and
  422. 17:52you know that seems to be associated
  423. 17:54with this quite
  424. 17:56well-founded um scientific observation
  425. 17:59that women tilt towards interest in
  426. 18:02people and Men tilt towards interest in
  427. 18:04things and that that's associated with
  428. 18:07testosterone exposure in utero this is
  429. 18:09solid science you know and it isn't
  430. 18:11anybody beating an ideological drum
  431. 18:13because most of the people I would say
  432. 18:15that most of the people who are
  433. 18:16publishing this would have been even
  434. 18:19happier had it turned out the other way
  435. 18:22you know the findings actually run
  436. 18:24contrary to their biases because
  437. 18:26Academia is generally full of people
  438. 18:28whose bias is our laugh and now and then
  439. 18:31you know scientific findings emerge to
  440. 18:34dispute um an ideological proposition
  441. 18:37that was certainly the case with the
  442. 18:39role of biology versus society in in
  443. 18:41establishing gender differences so the
  444. 18:43science is very credible it doesn't mean
  445. 18:45it's completely Beyond dispute but
  446. 18:49that's not the point either because your
  447. 18:50survey was actually pretty decent survey
  448. 18:52of the current state of affairs with
  449. 18:54regards to individual differences that
  450. 18:56doesn't mean it's right so
  451. 19:00okay so what what are your what are your
  452. 19:02what does your family think about all
  453. 19:05this yeah they definitely support me but
  454. 19:09they they don't really know what I
  455. 19:10should do from here they they don't want
  456. 19:12me to you know just go to a ton of news
  457. 19:15corporations and do all these interviews
  458. 19:17and stuff and because they just want to
  459. 19:19twist whatever I say towards their
  460. 19:21agenda too it's it's not really clear
  461. 19:24what I should be doing yeah well there's
  462. 19:26certainly no shortage of people that
  463. 19:28want to talk talk to you I mean I've
  464. 19:29been contacted by four or five
  465. 19:31journalists who would like to speak with
  466. 19:33you um we can talk about that afterwards
  467. 19:36I can let you know who they are but um
  468. 19:39yeah well you've got a you've got a
  469. 19:42conundrum on your hands you know I mean
  470. 19:45you're you're a you're a very
  471. 19:48straightforward person and you're
  472. 19:51obviously not grinding any acts at least
  473. 19:54not in any obvious way so my suspicions
  474. 19:56are that talking to the right people
  475. 19:59could be of substantial use to you but I
  476. 20:01guess it also depends on what it is that
  477. 20:04you want I mean and that's something we
  478. 20:06could talk about now you've
  479. 20:08you've you've rattled up the cages of a
  480. 20:11fair number of people and a fairly large
  481. 20:14organization interestingly enough just
  482. 20:16on the heels of Google and YouTube's
  483. 20:18announcement about their new free speech
  484. 20:19restrictions on on YouTube you know and
  485. 20:22and their incorporation of NOS into that
  486. 20:25censorship process so it's been quite a
  487. 20:27week for Google I would say
  488. 20:29so you've opened up this can of
  489. 20:32worms what is it so imagine if you're
  490. 20:35looking six months down the road saying
  491. 20:38things happened that were good because
  492. 20:40of what you did what is it that you
  493. 20:42would like to have
  494. 20:45happen uh at the very least I want
  495. 20:48because I I do still care about Google I
  496. 20:50want some conversation to be had and for
  497. 20:55the ideologues to not just have their
  498. 20:57way
  499. 21:00but yeah I I still don't have a Clear
  500. 21:03Vision on how
  501. 21:04exactly this will happen yeah well how
  502. 21:08how this can spread farther than just
  503. 21:10Google well I mean you'd spread it
  504. 21:13farther than just Google that's for sure
  505. 21:15you know um I mean I would say my
  506. 21:17experience is with the Press is that the
  507. 21:21first thing that happens that will
  508. 21:23happen is that you'll get jumped on by
  509. 21:26people who call you the sorts of
  510. 21:29epithets that would be appropriate if
  511. 21:31you were a bad guy and you should just
  512. 21:33shut up and go
  513. 21:35away okay that's already happened but I
  514. 21:37think you're going to get through that
  515. 21:39real quick because I went through your
  516. 21:42um your writings which are not a screed
  517. 21:44by the way and are certainly not an
  518. 21:46anti- diversity screed I went through
  519. 21:48your writings and and I can't see
  520. 21:50anything there that identifies you as
  521. 21:52the sort of person that can be easily
  522. 21:54and permanently tarred with a hateful
  523. 21:56epithet but you know it's log iCal for
  524. 22:00the public let's say including the media
  525. 22:02to jump on someone like you when they
  526. 22:04blow a whistle because the first thing
  527. 22:07that you might presume if someone's
  528. 22:09causing trouble is that there's
  529. 22:10something wrong with them and so then
  530. 22:12you have to sort of beat them a while
  531. 22:14with the idea that there's something
  532. 22:16wrong with them to see what happens and
  533. 22:18so the first thing is you have to
  534. 22:20withstand that but there don't seem to
  535. 22:21be any smoking pistols in your
  536. 22:23background so for example you were an
  537. 22:26ideal Google employee well that prot you
  538. 22:28a lot and and you don't have a history
  539. 22:31of this of any sort of troublemaking and
  540. 22:33you have a solid educational background
  541. 22:35and you're clearly a reasonable person
  542. 22:37and so the first thing is is just to
  543. 22:39steal yourself to get through
  544. 22:42that and then what will happen I think
  545. 22:45if you do talk to Media organizations
  546. 22:48and especially if you talk to them the
  547. 22:50way that you're talking to me which is
  548. 22:51extraordinarily calm and composed then
  549. 22:54you're going to reveal yourself even
  550. 22:56more as a reasonable person and the
  551. 22:59Press overall will start to shift behind
  552. 23:02you and I think the reason for that is
  553. 23:04one thing you got to remember about the
  554. 23:06Press is that when push comes to shove
  555. 23:09they're actually rather in favor of free
  556. 23:11speech yeah given that without it they
  557. 23:14would be
  558. 23:16dead so I don't think like I don't think
  559. 23:19that you have to worry about being
  560. 23:23exploited and Twisted by media sources I
  561. 23:27actually think that it might be to your
  562. 23:30advantage to talk to people you know you
  563. 23:32can figure out who those people are but
  564. 23:36you're just
  565. 23:37not the kind of person that can be
  566. 23:40easily transformed into a villain and
  567. 23:42the more that you can demonstrate that
  568. 23:44the better it might be you know for for
  569. 23:47the cause that you're engaged in but
  570. 23:49also for
  571. 23:51yourself
  572. 23:53yeah so what so like how are you feeling
  573. 23:56about this emotionally
  574. 23:59you must be in a bit of a State of Shock
  575. 24:00I would
  576. 24:01think yeah it's been a stressful week
  577. 24:05for
  578. 24:07sure uh
  579. 24:10but I I'm not feeling too negative about
  580. 24:14it yet I it hasn't fully hit me I don't
  581. 24:16think yeah well it won't because God
  582. 24:19only knows what's going to happen to you
  583. 24:20over the next few weeks right it's going
  584. 24:21to be a real roller
  585. 24:23coaster and you know you know the other
  586. 24:25thing that you might consider is that
  587. 24:27it's possible that this will turn out
  588. 24:29extraordinarily positive for you you
  589. 24:31know there's going to be it's going to
  590. 24:33be a rough ride but um to the degree
  591. 24:36that you are accurate in your
  592. 24:38observations then you know it's not that
  593. 24:40easy to it's not that easy for the
  594. 24:43opponents of Truth to have a battle with
  595. 24:45truth it's not easy to have a battle
  596. 24:48with reality you know you tend to
  597. 24:50lose so can I just go over some of the
  598. 24:53things that you said so that we can
  599. 24:55discuss yes sir okay so I'm gonna take a
  600. 24:57look here
  601. 24:59so you started with a pretty
  602. 25:01good solid statement I would say
  603. 25:05Google's political bias has equated the
  604. 25:07freedom from offense with psychological
  605. 25:09safety but shaming into silence is the
  606. 25:12antithesis of psychological safety well
  607. 25:14that seems even more relevant now in
  608. 25:16your situation the silencing has created
  609. 25:18an ideological Echo chamber where some
  610. 25:20ideas are too sacred to be honestly
  611. 25:22discussed well we can check that one off
  612. 25:25too right firing certainly seems to
  613. 25:27indicate that that was the case the lack
  614. 25:29of disc discussion Fosters the most
  615. 25:31extreme and authoritarian elements of
  616. 25:33this ideology some of the extreme the
  617. 25:36extreme is all disparities in
  618. 25:37representation are due to oppression
  619. 25:39that's a good one right that's a
  620. 25:41univariant hypothesis it's very very
  621. 25:44simple-minded and then the authoritarian
  622. 25:46element you defined as the idea we
  623. 25:49should discriminate to correct for this
  624. 25:51oppression great and then you make a
  625. 25:53claim difference and distributions of
  626. 25:55traits between men and women May imp
  627. 25:58heart explain why we don't have 50%
  628. 26:01representation of women in teeken
  629. 26:03leadership discrimination to reach equal
  630. 26:06representation is unfair divisive and
  631. 26:08bad for business okay so that's your
  632. 26:10thesis and then you go along and try to
  633. 26:14uh justify it so the first thing you do
  634. 26:16is talk about left-wing versus
  635. 26:19right-wing biases and I should point out
  636. 26:21that you don't concentrate on the left
  637. 26:24biases or on the right biases you're
  638. 26:26completely evenhanded with regards to
  639. 26:28laying out the pros and cons so the left
  640. 26:31is compassion for the weak disparities
  641. 26:33are due to injustices humans are
  642. 26:35inherently Cooperative change is good SL
  643. 26:38unstable open and idealistic fair enough
  644. 26:42man you're dead on with regards to the
  645. 26:44relevant psychological literature where
  646. 26:46we see that political correctness is
  647. 26:48motivated by agreeableness and that
  648. 26:50liberalism is fundamentally predicted by
  649. 26:53openness and the right biases respect
  650. 26:56for authority disparities are natural
  651. 26:58just humans are inherently competitive
  652. 27:00change is dangerous stable that would be
  653. 27:03high conscientiousness and low openness
  654. 27:05and they're closed rather than open and
  655. 27:07pragmatic rather than idealist yeah well
  656. 27:09I don't think any reasonable person
  657. 27:11could read that column and say that you
  658. 27:12were coming down hard on the side of
  659. 27:14either part of the political Spectrum
  660. 27:18yeah Dr Peterson can I jump in with a
  661. 27:20question um it appears from my
  662. 27:23interactions with many people that they
  663. 27:27are rejecting words that were not
  664. 27:30written onto the paper and would you be
  665. 27:33able to elaborate on the schemas that
  666. 27:36people develop and how they classify
  667. 27:39information um in their minds um because
  668. 27:41this is very much how stereotypes form I
  669. 27:44would think um is by kind of just
  670. 27:46grouping a bunch of disperate but semi-
  671. 27:49related people or things together and
  672. 27:51then projecting an idea that may or may
  673. 27:53not pertain to that yeah well it's a
  674. 27:55it's a low resolution thought is is I
  675. 27:58mean what what's happened to James is
  676. 28:00that he you know he he he put up his
  677. 28:03hand and said wait a second I don't
  678. 28:04agree with the diversity ideology and he
  679. 28:07was immediately classified essentially
  680. 28:10as a misogynist and bigot and that's the
  681. 28:13simplest thing to do right because
  682. 28:15misogynists and
  683. 28:17bigots will hold viewpoints that are
  684. 28:20anti-female and racist and so it's a lot
  685. 28:24easier just to paint someone with a
  686. 28:26broad brush especially especially if
  687. 28:28they're violating the tenants of your
  688. 28:30implicit um temperament let's say than
  689. 28:33it is to dive into the details where
  690. 28:37real thought occurs and I think one of
  691. 28:39the sins that James committed was that
  692. 28:42he actually dared to make this about
  693. 28:44details rather than about vague hand
  694. 28:47waving ideology that's very annoying to
  695. 28:49people who don't want to think because
  696. 28:52in order to analyze his claims you'd
  697. 28:54have to go through well let's say 20 or
  698. 28:5630 scientific papers and actually
  699. 28:58understand what they mean and that's
  700. 29:00very annoying especially if you're
  701. 29:02pursuing a given agenda so okay so then
  702. 29:06you say neither side is 100% correct and
  703. 29:09both viewpoints are necessary for a
  704. 29:11functioning Society or in this case
  705. 29:13company yeah well I think the data is
  706. 29:15solid there too I mean our research has
  707. 29:17indicated that open people who are
  708. 29:19primarily liberals start companies and
  709. 29:22the more closed people the conservatives
  710. 29:24the traditionalists are good at running
  711. 29:26them they're better at being managers
  712. 29:28and administrators and that's associated
  713. 29:30with high conscientiousness so you've
  714. 29:32got it right there a company too far to
  715. 29:34the right may be too slow to react over
  716. 29:36Hier hierarchical and untrusted and a
  717. 29:39company too far to the left will be will
  718. 29:42over diversify its interests overly
  719. 29:45trust its employees and competitors and
  720. 29:48change perhaps too rapidly yeah great
  721. 29:50fine perfect nicely balanced as far as I
  722. 29:52can tell only facts and reasons Can Shed
  723. 29:54light on these biases but when it comes
  724. 29:56to diversity and inclusion Google left
  725. 29:58by us has created a politically correct
  726. 30:00monoculture that maintains its holds by
  727. 30:02shaming descenders into silence well
  728. 30:05that certainly seems to be the case yeah
  729. 30:08okay this silence removes any checks
  730. 30:09against encroaching extremist and
  731. 30:11authoritarian policies all right at
  732. 30:14Google we're regularly told that
  733. 30:16implicit unconscious and explicit biases
  734. 30:18are holding women back in Tech and
  735. 30:20Leadership of course men and women
  736. 30:22experience bias Tech and the workplace
  737. 30:24differently and we should be cognizant
  738. 30:26of that but it's far from the whole
  739. 30:27story on average men and women
  740. 30:29biologically differ in many ways these
  741. 30:31aren't just socially constructed because
  742. 30:32they're Universal across cultures clear
  743. 30:35biological causes links to prenatal
  744. 30:37testosterone biological males castrated
  745. 30:40at Birth and raised as females often
  746. 30:41still identify and act like males DL
  747. 30:44traits are highly heritable and they're
  748. 30:46exactly what we would predict from an
  749. 30:47evolutionary psychology perspective note
  750. 30:49I'm not saying that all men differ from
  751. 30:51women in the following ways or that
  752. 30:53these differences are just and then you
  753. 30:55put in a nice chart indicating that the
  754. 30:58amount of overlap between men and women
  755. 31:00per trait is greater than the amount of
  756. 31:03difference right and so you state that
  757. 31:05directly that that's that's perfect
  758. 31:07that's a very good way of of Defending
  759. 31:09Your thesis and also of not overstating
  760. 31:12the case then you do a nice job of of
  761. 31:16also graphically indicating what happens
  762. 31:18if the distribution is ignored and
  763. 31:20people are just treated as if they're
  764. 31:21unipolar representatives of a given
  765. 31:24Group which is kind of what the D what
  766. 31:26the people who are predicating
  767. 31:28the push for diversity on gender and
  768. 31:30race are assuming right yeah which is
  769. 31:33imp which is really so funny because
  770. 31:35it's really a biologically essentialist
  771. 31:37argument much much greater than than
  772. 31:40than the argument that you're making
  773. 31:41which is that men and women and the
  774. 31:45members of different races are so
  775. 31:47different that in order for a full
  776. 31:50diversity of viewpoint to be achieved
  777. 31:52you have to pull in people by race and
  778. 31:55gender which which which implicitly
  779. 31:57States that the differences are so great
  780. 32:00that the distributions don't
  781. 32:02overlap yeah right you couldn't make a
  782. 32:04more racist and misogynous statement
  783. 32:07than that and and it's also technically
  784. 32:10wrong because men and women are more
  785. 32:11alike than they are different maybe if
  786. 32:13you summed up all the differences you
  787. 32:15could absolutely differentiate between
  788. 32:17them you know in in all likelihood you
  789. 32:19could but some of those differences are
  790. 32:21clearly irrelevant to the workplace yeah
  791. 32:23okay then you go through the personality
  792. 32:25difference literature and you're you're
  793. 32:28exactly right on that I see that the CEO
  794. 32:31took you to task for using the word
  795. 32:34neuroticism however that is the
  796. 32:36technical term in the personality
  797. 32:37literature and there are historical
  798. 32:38reasons for that a better word might be
  799. 32:41negative emotion but it's clearly the
  800. 32:43case that women are higher in negative
  801. 32:45emotion than men and that means that
  802. 32:47they are on average less tolerant of
  803. 32:50uncertainty and stress they suffer more
  804. 32:51psychologically for for the equivalent
  805. 32:54levels of of uncertainty and stress and
  806. 32:56that is also why why cross-culturally
  807. 32:59women have more depressive disorders and
  808. 33:01anxiety disorders and the research on
  809. 33:03that is Rock Solid Rock Solid men have
  810. 33:06their own problems right they're more
  811. 33:07likely to be antisocial they're much
  812. 33:09more likely to be imprisoned they're
  813. 33:11more likely to have learning
  814. 33:12disabilities so it's stating that there
  815. 33:15are differences in the rates of certain
  816. 33:17kinds of psychopathologies doesn't put
  817. 33:19any either gender into a position of
  818. 33:21relative
  819. 33:22inferiority so and then you quote re
  820. 33:27Arch that suggest that greater Nation
  821. 33:29level gender equality leads to
  822. 33:31psychological dissimilarity
  823. 33:33dissimilarity in men and women's
  824. 33:34personality traits absolutely that's
  825. 33:36what the Scandinavian studies indicate
  826. 33:38there's been a number of them and
  827. 33:40they're very large studies so you got
  828. 33:42that right what what this what the
  829. 33:44researchers demonstrated was that
  830. 33:47as
  831. 33:48comp
  832. 33:50as um countries move to flatten out the
  833. 33:54socioeconomic playing field and remove
  834. 33:57discrimination
  835. 33:58the differences between men and women or
  836. 34:00many of the differences between and
  837. 34:01women maximize instead of minimizing and
  838. 34:05in Scandinavia you really see
  839. 34:07maximization of the difference in men
  840. 34:09and women with regards to interest in
  841. 34:10people versus interest in things a major
  842. 34:13a major issue men's higher drive for
  843. 34:16status yeah well we know that women are
  844. 34:19hypergamous and that they choose men on
  845. 34:20the basis of their socioeconomic status
  846. 34:23right well documented cross-culturally
  847. 34:25and also just rational because
  848. 34:28uh women have to make themselves
  849. 34:30dependent when they are pregnant and
  850. 34:32when they have infants and it makes
  851. 34:33perfect sense for them to seek out the
  852. 34:35most competent person they can manage
  853. 34:38the most competent and generous person
  854. 34:40they can manage in order to help them
  855. 34:42bear the burden so so not no no dispute
  856. 34:46there at least no you're not um
  857. 34:52diverting from the central tenants of
  858. 34:54evolutionary psychology and biology
  859. 34:57people will dispute those findings but
  860. 35:00you're not Conjuring this out of thin
  861. 35:02air there's a nice solid scientific
  862. 35:04literature behind
  863. 35:06you so and you know it's it's also very
  864. 35:09interesting to look at the US Labor
  865. 35:13stats on gender differences in
  866. 35:15occupations you know because it's so
  867. 35:17funny to watch the radical feminists
  868. 35:19only go after the high status
  869. 35:20occupations it's like 100% of brick
  870. 35:23layers are
  871. 35:24men we don't hear that being being
  872. 35:28complained about and of course men
  873. 35:29occupy most of the outside jobs they
  874. 35:31move more and they do more of the
  875. 35:33dangerous jobs as well um so so these
  876. 35:37are all factors that are are relevant
  877. 35:39but completely undiscussed as far as I
  878. 35:43can tell by the sort of ideological
  879. 35:44types that have been going after you so
  880. 35:48women are on average more Cooperative
  881. 35:50yeah especially with members of their
  882. 35:52ingroup whether they're more Cooperative
  883. 35:55with members of their outg group is a
  884. 35:56different story right because agreeable
  885. 35:58people are in-group oriented and and
  886. 36:01very hard on outgroup members which I
  887. 36:03think is partly why the PC types are so
  888. 36:05hard on their enemies because you know
  889. 36:07they regard them as predators predators
  890. 36:10on infants essentially something like
  891. 36:12that women on average are more prone to
  892. 36:14anxiety yes that's
  893. 36:17true uh women on average look for more
  894. 36:19work life balance that seems to be the
  895. 36:22case I don't know if the literature on
  896. 36:24that is as tight you know but um it's
  897. 36:27certainly case that law firms for
  898. 36:29example have a hell of a time keeping
  899. 36:31their women in in in Partnership
  900. 36:33positions because most of them don't
  901. 36:35want to work the 60 hour work weeks 60
  902. 36:37to 80 hour work weeks that are necessary
  903. 36:39to performance at that extremely high
  904. 36:43level so Dr Peterson for for anybody who
  905. 36:46might be new listening in um you
  906. 36:48mentioned that a lot of women might not
  907. 36:50be um you know interested in working
  908. 36:54those you know 60 to 80 hour work weeks
  909. 36:56do you think it would make sense to
  910. 36:57stand upon that just a little bit I know
  911. 36:59you talk through hypergamy um but you've
  912. 37:02also mentioned the thing about why would
  913. 37:03anybody want to do that no matter what
  914. 37:06their gender is we got to get the
  915. 37:08mystery right here the mystery isn't why
  916. 37:11there are a bunch of people who are low
  917. 37:13status because almost everyone's low
  918. 37:16status comparatively speaking right men
  919. 37:18and women alike it's a small P minority
  920. 37:21of people who are high status on any
  921. 37:23Dimension and they tend to be hypers
  922. 37:25successful and they tend to be men so
  923. 37:27you see this in in in scientific
  924. 37:29publishing for example so the median
  925. 37:32Professor male publishes as much as the
  926. 37:35median Professor female but the vast
  927. 37:38majority of the high publishing people
  928. 37:40are males and that seems to be because
  929. 37:43there are a small percentage of males
  930. 37:45who are very status seeking very focused
  931. 37:47very energetic and and very much prone
  932. 37:49to put their career first and part of
  933. 37:52the theory for why that is is that some
  934. 37:55men are that that that the the U
  935. 38:00evolutionary and sexual tradeoff for men
  936. 38:03with regards to high status is much
  937. 38:05higher than it is for women so there's
  938. 38:07good documentation and I can find these
  939. 38:08references too that the number of sexual
  940. 38:12partners or opportunities that a man has
  941. 38:14in the previous year tightly associated
  942. 38:16with his socioeconomic status whereas
  943. 38:19the number of Partners or opportunities
  944. 38:21for partnering that a woman has is
  945. 38:23negatively correlated with her status
  946. 38:26and that might be partly because High
  947. 38:27status women who are looking for either
  948. 38:30even higher status men price themselves
  949. 38:32out of the mating market and there's
  950. 38:34actually pretty good documentation of
  951. 38:36that as well so so you're fine you're
  952. 38:39fine with all of
  953. 38:42that the harm of Google bu Google's
  954. 38:45biases to achieve a more equal gender
  955. 38:47and race representation Google has
  956. 38:49created several discriminatory proes
  957. 38:52programs mentoring in classes only for
  958. 38:54people with a certain gender or race a
  959. 38:56high priority Q INSP special treatment
  960. 38:58for diversity candidates hiring practice
  961. 39:00which can effectively lower the bar for
  962. 39:02diversity candidates by decreasing the
  963. 39:04false negative rate yeah that's a big
  964. 39:06problem you either have standards or you
  965. 39:08don't the problem is is that if the
  966. 39:11standards produce a non-e Equitable
  967. 39:13outcome then what happens is people
  968. 39:14criticize the standards and that would
  969. 39:17be fine if if the standards bore no
  970. 39:19relationship to the
  971. 39:21job but the problem is is that if you
  972. 39:24have your hiring practices set up
  973. 39:25halfway intelligently and and it's never
  974. 39:28perfect you're actually hiring for
  975. 39:30attributes that would make uh job
  976. 39:32Effectiveness much more
  977. 39:34likely yeah so how did you come across
  978. 39:38all this
  979. 39:39information uh part of it was through
  980. 39:41that diversity
  981. 39:43Summit and just looking through all the
  982. 39:46stuff that we have online or through our
  983. 39:49internal
  984. 39:50sites yeah so you've been doing a fair
  985. 39:52bit of literature review yeah yeah
  986. 39:58these practices are based on false
  987. 40:00assumptions generated by our biases and
  988. 40:02can actually increase race and gender
  989. 40:04tensions yeah well the whole unconscious
  990. 40:06bias thing is a great example of that is
  991. 40:08like first of all those tests the
  992. 40:10implicit association test are nowhere
  993. 40:13near reliable or valid enough so nowhere
  994. 40:16near the quality necessary to diagnose
  995. 40:18anyone as having a unconscious bias
  996. 40:23second second the data relating those
  997. 40:27so-called unconscious biases to actual
  998. 40:29behavior is weak third there's no
  999. 40:32evidence whatsoever that anti-
  1000. 40:34unconscious bias training programs have
  1001. 40:36any positive effect whatsoever and some
  1002. 40:38that they have negative effect part
  1003. 40:41because people don't like to be called
  1004. 40:42racists yeah and marched off to Force
  1005. 40:45re-education training so suggestions
  1006. 40:48demoralized diversity yeah that would be
  1007. 40:51good and start to Define it more
  1008. 40:53appropriately right yeah and and to to
  1009. 40:55start having a real conversation what
  1010. 40:57proper hiring practices should be which
  1011. 40:59should be objective standards
  1012. 41:01universally applied without bias because
  1013. 41:05that's the best we can do that's still
  1014. 41:07going to introduce some non-equal
  1015. 41:09outcomes but of course hiring practices
  1016. 41:10are designed to do that for example
  1017. 41:13they're clearly designed to reward more
  1018. 41:14intelligent people given that IQ is
  1019. 41:17highly
  1020. 41:19heritable that's actually a real problem
  1021. 41:22yeah definitely and we definitely set up
  1022. 41:24hiring practices to reward conscientious
  1023. 41:26people
  1024. 41:28so and what
  1025. 41:30are and what about propensity to
  1026. 41:33negative emotion it seems to me that
  1027. 41:35screening for stress tolerance is a
  1028. 41:37reasonable thing to do in high stress
  1029. 41:38jobs unless you want to put the person
  1030. 41:40in a position where they're likely to
  1031. 41:42collapse to be miserable I don't see any
  1032. 41:45utility in that Dr Peterson I had a
  1033. 41:48question actually relating to that um
  1034. 41:51from an employment standpoint is there
  1035. 41:53an
  1036. 41:54Optimum um sensitivity to stress that
  1037. 41:57you've seen from the most economically
  1038. 42:00productive employees by that I mean I
  1039. 42:02feel like there's a middle ground
  1040. 42:04between people who are laidback versus
  1041. 42:07people who are um probably um
  1042. 42:12overstimulated by um external factors
  1043. 42:15that make them self-conscious and these
  1044. 42:17people I think at least at the lower mid
  1045. 42:19levels of many companies actually have a
  1046. 42:21little bit more anxiety that powers
  1047. 42:23their Ascension through the dominance
  1048. 42:25hierarchy yeah well it's a trick issue
  1049. 42:27because you're probably the sort of
  1050. 42:30negative emotion that might be useful in
  1051. 42:33motivating you is probably more
  1052. 42:34associated with conscientiousness than
  1053. 42:36with neuroticism like neuroticism seems
  1054. 42:39to be linked pretty tightly to anxiety
  1055. 42:41and emotional pain frustration
  1056. 42:43disappointment grief those all sort of
  1057. 42:45fit into that those categories whereas
  1058. 42:48the negative emotion perhaps that's
  1059. 42:50associated with conscientiousness and
  1060. 42:52and industriousness in particular seems
  1061. 42:53to be more something like self-contempt
  1062. 42:56and disgust and so conscientious people
  1063. 42:59are made uncomfortable by their lack of
  1064. 43:03productive effort but that doesn't seem
  1065. 43:06to be associated with trait neuroticism
  1066. 43:08it's a different
  1067. 43:10thing so that's partly why it's so
  1068. 43:12necessary to get the psychometrics right
  1069. 43:14right and to get the to get the
  1070. 43:15measurement right so the best hiring the
  1071. 43:18best hiring screeners are like a Big
  1072. 43:20Five personality test roughly speaking
  1073. 43:23especially uh weighted towards
  1074. 43:25conscientiousness and for complex Lex
  1075. 43:27jobs a general cognitive ability test
  1076. 43:30although there's some question about the
  1077. 43:32legality of those in the current
  1078. 43:34political situation
  1079. 43:37so all alienating conservatives is both
  1080. 43:40non-inclusive and generally bad business
  1081. 43:42because conservatives tend to be higher
  1082. 43:43in conscientiousness which is required
  1083. 43:45for much of the drudgery and maintenance
  1084. 43:46work characteristic of a mature company
  1085. 43:49yes
  1086. 43:50absolutely
  1087. 43:53so now here's what you suggest confront
  1088. 43:57Google's biases well you've done that
  1089. 43:59we've seen how that went I would start
  1090. 44:01by breaking down Google's scores by
  1091. 44:03political orientation and personality to
  1092. 44:05give a fuller picture into how our
  1093. 44:07biases are affecting our culture that's
  1094. 44:09a fine idea stop restricting programs
  1095. 44:12and classes to certain genders or races
  1096. 44:14yes well obviously have an open and
  1097. 44:17honest discussion about the costs and
  1098. 44:19benefits of our diversity programs well
  1099. 44:21I guess that's what we're trying to do
  1100. 44:23right now discriminating just to
  1101. 44:25increase the representation of women in
  1102. 44:27Tech is as misguided and biased as
  1103. 44:29mandating increases for women's
  1104. 44:31representation in homeless work rated
  1105. 44:33and violent deaths prisons and school
  1106. 44:35dropouts yes it's the same thing and
  1107. 44:39it's the same issue as the brick layer
  1108. 44:41issue as well and what are you going to
  1109. 44:42do you're going to chase the nurses out
  1110. 44:44of the women out of Nursing and medicine
  1111. 44:46and psychology and social work and and
  1112. 44:49University undergraduate programs where
  1113. 44:51they're radically over represented so
  1114. 44:53what about Jews you going to get rid of
  1115. 44:55them too because they're over
  1116. 44:57represented in most complex occupations
  1117. 44:59and Asians as well so or you only you're
  1118. 45:03only going to do this in very limited
  1119. 45:05circumstance you're going to figure out
  1120. 45:06some way to put a limit on that are you
  1121. 45:08seems very
  1122. 45:10unlikely I almost wonder what the ADL is
  1123. 45:13you know will be thinking six six months
  1124. 45:16from now or 12 months from now given the
  1125. 45:19high number of you know at least in the
  1126. 45:20United States um ashkanazi je in
  1127. 45:23leadership positions at companies that
  1128. 45:25are ADV advocating for less of
  1129. 45:27themselves or less people who are in the
  1130. 45:29bucket that they're in yeah well as long
  1131. 45:31as the discussion centers on the over
  1132. 45:33representation of white men people seem
  1133. 45:35to have no problem but you start to
  1134. 45:38break that down a little bit and because
  1135. 45:41uh Jewish white men are particularly
  1136. 45:43over represented is why they going to
  1137. 45:44make an issue out of that really we're
  1138. 45:46going to do that so and Asians are
  1139. 45:50already having a harder time getting
  1140. 45:51into universities so that's well
  1141. 45:54documented so and that that's a terrible
  1142. 45:57thing partly because of the cost to the
  1143. 45:58individuals involved but also the cost
  1144. 46:01to society because it means that we're
  1145. 46:02not taking the people who are most
  1146. 46:04competent and allowing them to expand
  1147. 46:06their education to the greatest degree
  1148. 46:09possible and because there aren't that
  1149. 46:11like smart competent people are actually
  1150. 46:13rather rare and it's to society's
  1151. 46:15advantage to exploit the hell out of
  1152. 46:16them and you know pay them well for that
  1153. 46:19but it's not like they're of no benefit
  1154. 46:22and everyone knows that when they try to
  1155. 46:23hire someone competent deemphasize
  1156. 46:26empathy yes empathy is a
  1157. 46:30good um ethic for small family units and
  1158. 46:34a terrible ethic to run a company by it
  1159. 46:37looks like conscientiousness is the
  1160. 46:39right ethic to run a company by and I
  1161. 46:41think conscientiousness we don't have
  1162. 46:42good animal models for conscientiousness
  1163. 46:44hey but I think conscientiousness
  1164. 46:46probably evolved so that human beings
  1165. 46:48could could operate in groups that were
  1166. 46:51larger than just kin sized you know
  1167. 46:54because Equity makes sense at a kin
  1168. 46:56level every mother wants her children to
  1169. 46:59have a good outcome in life and wants
  1170. 47:00resources distributed equally between
  1171. 47:03them so it's not like it's something
  1172. 47:05that doesn't have a
  1173. 47:06niche micro prioritize intention our
  1174. 47:10focus on microaggressions Etc and other
  1175. 47:12unintentional transgressions increases
  1176. 47:14our sensitivity you do a nice job of
  1177. 47:16criticizing that I read darl Wing Sue's
  1178. 47:19book on microaggression it's an
  1179. 47:20appalling it's an appalling load of trip
  1180. 47:23to put it Burly and I believe Scott
  1181. 47:25lilenfeld who's a very good psychologist
  1182. 47:27has recently published a paper um
  1183. 47:30shredding the the construct validity of
  1184. 47:32the concept of microaggression so it's a
  1185. 47:35non-valid construct right from the
  1186. 47:37bottom up it's purely ideological in
  1187. 47:39nature and it's also one of those
  1188. 47:40constructs that allows anyone who's
  1189. 47:42offended to to weaponize their weaponize
  1190. 47:46discourse around it so yeah reconsider
  1191. 47:49making unconscious training bias
  1192. 47:51training mandatory for promotion
  1193. 47:52committees yeah that should be
  1194. 47:54reconsidered it should be stopped
  1195. 47:56there's no no scientific basis
  1196. 47:58whatsoever for proceeding with that
  1197. 48:01operation
  1198. 48:03so great well you know it's a pretty
  1199. 48:06straightforward document as far as I'm
  1200. 48:08concerned and I've gone through it with
  1201. 48:10a fairly fine tooth comb as a behavioral
  1202. 48:13scientist and I would like to State for
  1203. 48:15the record that I believe that what you
  1204. 48:17said in there if not accurate was at
  1205. 48:20least representative of the current
  1206. 48:22state of art among well-trained
  1207. 48:25psychometrically um
  1208. 48:27uh informed psychologists who are
  1209. 48:30experts in the field of individual
  1210. 48:31difference so
  1211. 48:35congratulations too bad you have to pay
  1212. 48:37such a price for
  1213. 48:40it all right well thank you very much
  1214. 48:44for the conversation ah one other
  1215. 48:46question why did you agree to talk to
  1216. 48:49me I I'm a huge fan so and I know that
  1217. 48:54you went through
  1218. 48:55similar any uence on on this I mean
  1219. 48:59you're going to pay a actually I'm not
  1220. 49:02sorry I'd like to say I was sorry but
  1221. 49:05I'm not I'm actually really
  1222. 49:07pleased I I do think that you're going
  1223. 49:09to be pay a big price for this but that
  1224. 49:11the net consequence will be very
  1225. 49:13positive and I'm I I think you did an
  1226. 49:16excellent job on this document I think
  1227. 49:18you were very careful I think the fact
  1228. 49:20that you're being labeled with epithets
  1229. 49:23and that you were fired is absolutely
  1230. 49:25reprehensible
  1231. 49:27you know it's clear to me that you're
  1232. 49:29just trying to figure out what the
  1233. 49:31hell's going on and that you know you're
  1234. 49:34not you're not any of the things that
  1235. 49:36people would like to think you are so
  1236. 49:38that they don't have to bloody well
  1237. 49:40think about what it is that you said and
  1238. 49:41did so like congratulations to you man
  1239. 49:44courageous people are rare and you put
  1240. 49:46yourself on the line and I've really
  1241. 49:47learned that in the last year so I would
  1242. 49:51say Keep Your Head Up assume that this
  1243. 49:53is going to work out it I wouldn't hide
  1244. 49:55from the Press
  1245. 49:57because I think the Press is actually
  1246. 49:59you're the right kind of person for the
  1247. 50:02press to be a something for you to use
  1248. 50:06you know you're well spoken you're quiet
  1249. 50:09you're you're you're convincing you're
  1250. 50:11rational um you're obviously at least
  1251. 50:15you come across as a decent guy very
  1252. 50:17very rapidly um there's no reason I
  1253. 50:21would say there's no reason not to let
  1254. 50:23people see who you are because I think
  1255. 50:25that would improve your credibility and
  1256. 50:28make your message even more powerful so
  1257. 50:30you think about that I mean you're you
  1258. 50:32are have every right to defend your
  1259. 50:34privacy you know but and and that's fine
  1260. 50:38but I don't think that you have any
  1261. 50:40reason to be afraid of the press I would
  1262. 50:42say a couple of things when you're
  1263. 50:44talking to the
  1264. 50:45Press don't
  1265. 50:48apologize don't tell people what you're
  1266. 50:50not don't tell them that you're not aot
  1267. 50:53and that you're not a misogynist that's
  1268. 50:55a technical error um and stick to your
  1269. 50:57damn guns you know as as as quietly and
  1270. 51:02forthrightly as you can and man you're
  1271. 51:04going to come out on top of this because
  1272. 51:06you're you're on the side of the right
  1273. 51:08as far as I'm concerned

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