2017/08/08: James Damore and his Google Memo on Diversity (complete) — Transcript
Full transcript
- 0:01hello so some of you may have heard
- 0:05about the leaked Google memo that has
- 0:09been circulating virally around the
- 0:11internet for the last couple of days
- 0:13that was written by James deore who was
- 0:16fired for it last night and uh a
- 0:20colleague of his reached out to me and
- 0:22put us together and so I'm going to talk
- 0:24to James today about exactly what
- 0:26happened and why and perhaps what should
- 0:29be done about it so
- 0:34uh so that's what we're going to do and
- 0:37the interview I had with him which
- 0:38finished at about 3:00 on Tuesday August
- 0:428th follows immediately after this
- 0:46introduction hi everybody I'm speaking
- 0:49today with James
- 0:52deore and an unidentified Google
- 0:55employee who wishes to remain anonymous
- 0:59um for reasons that I think are obvious
- 1:02and James last week put his hand in a
- 1:06blender by circulating an internal memo
- 1:09that I would say has become somewhat
- 1:11Infamous so James let's start with let's
- 1:14start with a bit of discussion about you
- 1:16tell us who you are about your
- 1:18background and about what you were doing
- 1:20at
- 1:20Google I yes so I I was actually just
- 1:26you know I really interested in science
- 1:28and psychology and stuff Stu and then I
- 1:32really liked puzzles and that's how I
- 1:33got into Google actually I did one of
- 1:35their coding competitions they just
- 1:37recruited me out of that and so at
- 1:40Google I was mostly working on search
- 1:44and image and video search in
- 1:46particular and so what's tell us about
- 1:48your educational background a
- 1:51bit uh yes so I just did a random
- 1:56science and math and undergrad and I
- 1:59ended up with a I didn't really know
- 2:00what I was going to do so I I started
- 2:03doing research at MIT and then uh I went
- 2:07to uh systems biology at Harvard I
- 2:11initially wanted to work with Martin NOC
- 2:13he's really great in
- 2:15evolution and Game Theory but uh then I
- 2:18started working on other
- 2:20things so tell us a bit about systems
- 2:23biology what what is that exactly what
- 2:24kind of research were you doing at
- 2:27MIT I yes so systems biology has many
- 2:31different meanings but it's generally
- 2:34just mathematical
- 2:37biology and uh I guess seeing biological
- 2:41systems as a whole rather than just
- 2:43individual
- 2:44molecules and so I I like looking at
- 2:47populations and so my interest in
- 2:51evolution so why did that make you a
- 2:54viable candidate at Google do you
- 2:58think uh I think just saw a smart guy
- 3:01that could
- 3:03code fair enough now you've been there
- 3:06three years is that correct but also as
- 3:07an intern before that yeah so about four
- 3:10years total and so how would you say
- 3:13you've performed as an employee at
- 3:14Google have people been happy with you
- 3:16or have you been in trouble or no Ian I
- 3:20got promoted twice my last review was uh
- 3:23the highest possible superb which is the
- 3:26top few
- 3:27percentile so I definitely wasn't based
- 3:30on performance that they fired me and
- 3:33have you enjoyed working at Google has
- 3:35it been a good
- 3:36experience yeah I mean I love Google
- 3:39that's the horrible part like I've
- 3:41always been the biggest Google Fanboy
- 3:45all like I've never had an iPhone I've
- 3:48always tried to convince my friends to
- 3:49use Android and all these different
- 3:51things
- 3:53and yeah I mean this just puts a sour
- 3:57taste in my mouth okay so so you've got
- 3:59a good educational background you were
- 4:01interested in things that Google would
- 4:02be interested in you're good coder
- 4:05you've worked with them for a number of
- 4:06years and done an excellent job and
- 4:08you're pretty Pro Google that's
- 4:10basically the background yeah okay now
- 4:13last week you wrote a memo which has
- 4:16attracted a tremendous amount of
- 4:18attention and in that memo you you made
- 4:21a number of claims and the claims were
- 4:24and please correct me if I've got this
- 4:26if I'm not summarizing this properly you
- 4:28were attempting to to describe reasons
- 4:31why there might why a lack of gender
- 4:35parity might exist within Google for
- 4:37example and within engineering more
- 4:39broadly but also in occupations more
- 4:41broadly and you um you laid out a very
- 4:45elaborated document and I reviewed it
- 4:47and as far as I can tell your opinions
- 4:51are well supported by the relevant
- 4:54psychological science and I think what
- 4:55I'll do in the description of this video
- 4:58when I link it is
- 5:00putting the references so that people
- 5:02can decide for themselves I want to put
- 5:03up a web page about gender differences
- 5:05in general but I'll try to hit the
- 5:06highlights for this particular document
- 5:10so why did you do
- 5:13this uh yeah so about a month and a half
- 5:17ago I went to one of our diversity
- 5:20Summits all of it unrecorded and super
- 5:24secret and they told me a lot of things
- 5:27that I thought just we're not right okay
- 5:31what do you mean unrecorded in super
- 5:33secret well I mean they were telling us
- 5:36about a lot of these potentially illegal
- 5:39practices that they've been doing to try
- 5:42to increase
- 5:43diversity and what kind of
- 5:47practices uh well basically treating
- 5:49people differently based on what their
- 5:52race or gender
- 5:54racism yeah
- 5:56basically I see and so and it was Ultra
- 5:59secret and unrecorded in what
- 6:02Manner uh yeah so I mean most meetings
- 6:05at Google are recorded anyone Google can
- 6:08watch it we're trying to be really open
- 6:10about everything except for this you
- 6:13they don't want any paper trail for any
- 6:15of these things okay
- 6:18why because I think it's illegal and I
- 6:22mean as some of the internal polls
- 6:24showed there were a large percent of
- 6:26people that agreed with me on the
- 6:28document and so if everyone got to see
- 6:31this stuff then you know they would
- 6:35really bring up some criticism yeah well
- 6:38a large number of people in Google and a
- 6:40very large number of well-informed
- 6:42biological scientists we might also add
- 6:45so I mean I was quite I was quite um
- 6:47struck by your document given that you
- 6:51know it would have been a decent
- 6:52document for a well-informed
- 6:53psychologist research psychologist to
- 6:56write but you're somewhat of an outsider
- 6:58but you've got the you got the
- 7:00highlights accurate as far as I'm
- 7:02concerned so okay so you went to this
- 7:04diversity meeting and you weren't happy
- 7:07with the sorts of things that you were
- 7:08being told and with the practices is is
- 7:11that both correct yeah and what were you
- 7:13being
- 7:15told uh well so
- 7:18that I there's a lot of ways in which
- 7:21they pressure people to increase the
- 7:24diversity of their team and you know
- 7:27there's no way to do that besides
- 7:29actually choosing someone based on their
- 7:31race or gender right what do they mean
- 7:34by diversity
- 7:36precisely uh I me more women or
- 7:41underrepresented racial
- 7:44minorities no can I jump in yeah um I I
- 7:48would hesitate to say that that's 100%
- 7:51true across 100% of right so the
- 7:55organization that I'm in I have not
- 7:57personally seen anything that I would
- 7:59team cross the line um you know I
- 8:02personally believe that there are a good
- 8:04amount of synergies to be found if you
- 8:06can combine you know slightly different
- 8:10ideologies um into a room and that is
- 8:13the the thesis that some groups are
- 8:15working towards um obviously there's
- 8:18going to be a distribution of how people
- 8:21follow the rules um and you know it's
- 8:24unfortunate to hear that it's you know
- 8:28it could be that some people fall to the
- 8:30wrong side of that distribution but um
- 8:32that certainly wouldn't it would not
- 8:34apply to everybody well it certainly
- 8:36also it certainly also distressing to
- 8:38hear that there is acceptance of the
- 8:40idea that diversity can be mapped onto
- 8:44race and gender especially with regards
- 8:45to Performance because there's no
- 8:47evidence for that whatsoever so okay so
- 8:50you went to this meeting and then you
- 8:52you decided to write this document and
- 8:54um how long had you been working on it
- 8:57before you released it uh yes so I was
- 9:01doing it like throughout my free time I
- 9:05and I just wanted to clarify my thoughts
- 9:07on this and I really just wanted to be
- 9:08proven wrong because you know if what I
- 9:11was saying was right then something bad
- 9:12is happening and so yeah about a month
- 9:16ago I submitted to feedback to that
- 9:19program and you know I saw that people
- 9:21looked at it but no one actually said
- 9:23anything and what sort of feedback did
- 9:25you
- 9:27submit uh I mean I basically said what I
- 9:29said in the in the document and then I
- 9:31linked to the document
- 9:33itself and so I actually published this
- 9:36about a month
- 9:37ago and it was only after it got viral
- 9:41and then leaked to the news that Google
- 9:45started carrying okay so how did it go
- 9:47viral and and do you know and how was it
- 9:50leaked uh yeah
- 9:52so I there was a group at Google called
- 9:55Skeptics and so I was like okay maybe
- 9:58they'll be able to prove me wrong in
- 10:00some way like they're skeptical about
- 10:02things right I don't know I was naive I
- 10:05guess and so I sent them a message like
- 10:08okay what do you think about this is
- 10:10Google in some sort of echo chamber or
- 10:12am I in an echo
- 10:14chamber
- 10:16and you know then it just exploded after
- 10:19that and you know our
- 10:22internal yeah it was just spread
- 10:24throughout all of Google do you and do
- 10:27you know was it the was it was it the
- 10:29Skeptics group that started to spread it
- 10:32around yeah and then there were a lot of
- 10:35upper management that uh you know
- 10:39specifically called it out and started
- 10:41saying how harmful it is and how it's
- 10:44unacceptable this sort of viewpoint is
- 10:46not allowed at Google yeah what sort of
- 10:49viewpoint exactly the idea that there
- 10:52are differences between men and women
- 10:53that actually might play a role in in in
- 10:56in in the in the in the corporate world
- 10:59that that's an opinion that's not
- 11:01acceptable yeah it seems
- 11:04so well I mean you know understandably
- 11:07it is this these issues are tricky
- 11:10morally and politically but the thing
- 11:12that was disturbing to me about watching
- 11:15the response to you is that as far as I
- 11:17can tell there isn't anything that you
- 11:18said in that paper first of all that is
- 11:20in fact biased in a manner that should
- 11:23open you up to the sorts of charges that
- 11:25have been opened up against you or that
- 11:27violates the scientific liter as it
- 11:29currently stands so both of those are
- 11:33rather
- 11:34distressing yeah and there's a lot of
- 11:37misrepresentation by upper management
- 11:40just to silence me I think yes and why
- 11:43is that do you think like why why is it
- 11:45that Google couldn't have actually do
- 11:47you think that Google couldn't have come
- 11:48out and had an intelligent discussion
- 11:50about this instead of well first of all
- 11:52releasing like Dan I read Danielle
- 11:54Brown's response to you which I thought
- 11:56was absolutely appalling ill-informed
- 11:58and paing and then they fired you which
- 12:01seems to be like a really bad PR move
- 12:03but more importantly doesn't actually
- 12:05deal with the issues at hand you know
- 12:07they're basically saying something like
- 12:10well what was their rationale for firing
- 12:12you exactly what was the excuse that was
- 12:14given so the official excuse was that I
- 12:17was perpetuating gender stereotypes that
- 12:19you were perpetuating gender
- 12:22stereotypes yeah and did they say
- 12:24anything else about your performance or
- 12:26about anything else that you had done no
- 12:29it was that was the only reason and who
- 12:32who who fired you
- 12:34technically it was my HR representative
- 12:39and my
- 12:40director okay and do you and do do you
- 12:44have any idea on Whose orders they were
- 12:46acting or if this was something that
- 12:48they conjured up themselves or I I'm
- 12:51sure it probably went from higher up
- 12:53than
- 12:54that because I this is a huge PR move so
- 13:00they would need approval from right hup
- 13:02right and I think the CEO the CEO
- 13:05actually made some comments about the
- 13:06issue today which I'll probably cut into
- 13:09this video as we as I edit it so yeah
- 13:13okay all right so the first question is
- 13:17how are you
- 13:19doing I'm doing okay I there's a lot of
- 13:22messages that I'm trying to sort through
- 13:24and just trying to figure out what I
- 13:27should do now but
- 13:30yeah you've been given some interesting
- 13:31job offers as far as I can
- 13:34tell yeah I've gotten a surprising
- 13:36amount as a part yeah yeah well I
- 13:39suspect in fact I'm virtually certain
- 13:41that you have a majority Viewpoint it's
- 13:44just that the people who hold the
- 13:45alternative perspective which are the
- 13:48radical social constructionist types who
- 13:50insist that everything is a consequence
- 13:52of socialization they're a little bit
- 13:54more organized politically but they're
- 13:56clearly wrong scientifically they're
- 13:57wrong factually they're wrong ethically
- 14:00for that matter so so you you probably
- 14:04have more support than you think and
- 14:05it'll be very interesting to see how
- 14:06that turns out so so what do you think
- 14:10about having written this or I mean now
- 14:13your life is going to be turned upside
- 14:14down and for quite a while I suspect I
- 14:16mean so you put yourself out on the line
- 14:18doing this so what do you think about
- 14:24that
- 14:26I it definitely sucks but
- 14:30I mean at least I was proven right you
- 14:33know when what do you mean by proven
- 14:34right well just that the whole uh
- 14:40culture just tries to silence any
- 14:42dissenting
- 14:44View and that we really need
- 14:48some more objective way of looking at
- 14:50these things yeah well I felt the same
- 14:53way when the University of Toronto
- 14:55decided to you
- 14:57know attempt to shut me down down after
- 14:59I made my videos I thought well that
- 15:01just proves my point yeah cuz I mean I
- 15:03made the videos saying well I don't like
- 15:05the climate that's developing it it's
- 15:07making it very difficult to have
- 15:08conversations about certain things and
- 15:10your example is even more egregious I
- 15:13think because you know I at least
- 15:16objected to a piece of legislation that
- 15:19in principle would have been of benefit
- 15:21to an identifiable group let's say the
- 15:23transgender group I don't believe it is
- 15:25of any benefit to them but you could
- 15:26make a case that it was but you all you
- 15:29did as far as I can tell is review the
- 15:31modern personality literature and the
- 15:34literature on individual differences
- 15:36relating to men and women and and other
- 15:38groups and there's actually not very
- 15:40much opinion in your piece at all so
- 15:43what that means is that it is not
- 15:46possible to actually have a discussion
- 15:48about the scientific literature on these
- 15:51issues without putting yourself at risk
- 15:53and that's a hell of a thing for an
- 15:54engineer because I mean engineer isn't
- 15:58re rely on
- 15:59the facts as far as I can tell and one
- 16:02of the things I like about engineers is
- 16:03that they tend to stick fairly closely
- 16:05to the facts they're not a very
- 16:07political
- 16:08group you know generally speaking
- 16:10they're much more
- 16:14practical yeah I I don't know how they
- 16:17can expect to silence so many engineers
- 16:20and intelligent people and just deny
- 16:24science like this yeah well the question
- 16:27too is what are your supporters within
- 16:29Google going to do because you know I
- 16:31would say you're a great warning
- 16:34man
- 16:36because you you showed what happened to
- 16:38you showed exactly what happens if you
- 16:41have
- 16:43enough I don't know what you'd call it
- 16:46curiosity and courage I
- 16:49suppose but but mostly curiosity to lay
- 16:52out what you think for discussion I mean
- 16:55even when you opened this conversation
- 16:57you said that you know you weren't
- 17:00jumping up and down and insisting you
- 17:02were right you were trying to lay out
- 17:03what you understood from doing a fair
- 17:05bit of reading and and and make the case
- 17:08that the these facts the facts about the
- 17:12differences between men and women and
- 17:13employment choice and and payment and
- 17:15all that aren't being discussed and
- 17:17they're not being discussed I mean we
- 17:19know for example and I'll put this
- 17:20citation in the in the description it's
- 17:23been very difficult for the the swedes
- 17:26for example to flatten out the gender
- 17:29distribution for engineers in Sweden and
- 17:31in and in and in the Scandinavian
- 17:33countries in general despite their
- 17:36Advanced social engineering let's call
- 17:38it and they also can't get male nurses
- 17:40you know I think it's four out of five
- 17:42nurses in Scandinavia if I remember
- 17:44correctly are female and the reverse
- 17:47number are are Engineers are male and
- 17:52you know that seems to be associated
- 17:54with this quite
- 17:56well-founded um scientific observation
- 17:59that women tilt towards interest in
- 18:02people and Men tilt towards interest in
- 18:04things and that that's associated with
- 18:07testosterone exposure in utero this is
- 18:09solid science you know and it isn't
- 18:11anybody beating an ideological drum
- 18:13because most of the people I would say
- 18:15that most of the people who are
- 18:16publishing this would have been even
- 18:19happier had it turned out the other way
- 18:22you know the findings actually run
- 18:24contrary to their biases because
- 18:26Academia is generally full of people
- 18:28whose bias is our laugh and now and then
- 18:31you know scientific findings emerge to
- 18:34dispute um an ideological proposition
- 18:37that was certainly the case with the
- 18:39role of biology versus society in in
- 18:41establishing gender differences so the
- 18:43science is very credible it doesn't mean
- 18:45it's completely Beyond dispute but
- 18:49that's not the point either because your
- 18:50survey was actually pretty decent survey
- 18:52of the current state of affairs with
- 18:54regards to individual differences that
- 18:56doesn't mean it's right so
- 19:00okay so what what are your what are your
- 19:02what does your family think about all
- 19:05this yeah they definitely support me but
- 19:09they they don't really know what I
- 19:10should do from here they they don't want
- 19:12me to you know just go to a ton of news
- 19:15corporations and do all these interviews
- 19:17and stuff and because they just want to
- 19:19twist whatever I say towards their
- 19:21agenda too it's it's not really clear
- 19:24what I should be doing yeah well there's
- 19:26certainly no shortage of people that
- 19:28want to talk talk to you I mean I've
- 19:29been contacted by four or five
- 19:31journalists who would like to speak with
- 19:33you um we can talk about that afterwards
- 19:36I can let you know who they are but um
- 19:39yeah well you've got a you've got a
- 19:42conundrum on your hands you know I mean
- 19:45you're you're a you're a very
- 19:48straightforward person and you're
- 19:51obviously not grinding any acts at least
- 19:54not in any obvious way so my suspicions
- 19:56are that talking to the right people
- 19:59could be of substantial use to you but I
- 20:01guess it also depends on what it is that
- 20:04you want I mean and that's something we
- 20:06could talk about now you've
- 20:08you've you've rattled up the cages of a
- 20:11fair number of people and a fairly large
- 20:14organization interestingly enough just
- 20:16on the heels of Google and YouTube's
- 20:18announcement about their new free speech
- 20:19restrictions on on YouTube you know and
- 20:22and their incorporation of NOS into that
- 20:25censorship process so it's been quite a
- 20:27week for Google I would say
- 20:29so you've opened up this can of
- 20:32worms what is it so imagine if you're
- 20:35looking six months down the road saying
- 20:38things happened that were good because
- 20:40of what you did what is it that you
- 20:42would like to have
- 20:45happen uh at the very least I want
- 20:48because I I do still care about Google I
- 20:50want some conversation to be had and for
- 20:55the ideologues to not just have their
- 20:57way
- 21:00but yeah I I still don't have a Clear
- 21:03Vision on how
- 21:04exactly this will happen yeah well how
- 21:08how this can spread farther than just
- 21:10Google well I mean you'd spread it
- 21:13farther than just Google that's for sure
- 21:15you know um I mean I would say my
- 21:17experience is with the Press is that the
- 21:21first thing that happens that will
- 21:23happen is that you'll get jumped on by
- 21:26people who call you the sorts of
- 21:29epithets that would be appropriate if
- 21:31you were a bad guy and you should just
- 21:33shut up and go
- 21:35away okay that's already happened but I
- 21:37think you're going to get through that
- 21:39real quick because I went through your
- 21:42um your writings which are not a screed
- 21:44by the way and are certainly not an
- 21:46anti- diversity screed I went through
- 21:48your writings and and I can't see
- 21:50anything there that identifies you as
- 21:52the sort of person that can be easily
- 21:54and permanently tarred with a hateful
- 21:56epithet but you know it's log iCal for
- 22:00the public let's say including the media
- 22:02to jump on someone like you when they
- 22:04blow a whistle because the first thing
- 22:07that you might presume if someone's
- 22:09causing trouble is that there's
- 22:10something wrong with them and so then
- 22:12you have to sort of beat them a while
- 22:14with the idea that there's something
- 22:16wrong with them to see what happens and
- 22:18so the first thing is you have to
- 22:20withstand that but there don't seem to
- 22:21be any smoking pistols in your
- 22:23background so for example you were an
- 22:26ideal Google employee well that prot you
- 22:28a lot and and you don't have a history
- 22:31of this of any sort of troublemaking and
- 22:33you have a solid educational background
- 22:35and you're clearly a reasonable person
- 22:37and so the first thing is is just to
- 22:39steal yourself to get through
- 22:42that and then what will happen I think
- 22:45if you do talk to Media organizations
- 22:48and especially if you talk to them the
- 22:50way that you're talking to me which is
- 22:51extraordinarily calm and composed then
- 22:54you're going to reveal yourself even
- 22:56more as a reasonable person and the
- 22:59Press overall will start to shift behind
- 23:02you and I think the reason for that is
- 23:04one thing you got to remember about the
- 23:06Press is that when push comes to shove
- 23:09they're actually rather in favor of free
- 23:11speech yeah given that without it they
- 23:14would be
- 23:16dead so I don't think like I don't think
- 23:19that you have to worry about being
- 23:23exploited and Twisted by media sources I
- 23:27actually think that it might be to your
- 23:30advantage to talk to people you know you
- 23:32can figure out who those people are but
- 23:36you're just
- 23:37not the kind of person that can be
- 23:40easily transformed into a villain and
- 23:42the more that you can demonstrate that
- 23:44the better it might be you know for for
- 23:47the cause that you're engaged in but
- 23:49also for
- 23:51yourself
- 23:53yeah so what so like how are you feeling
- 23:56about this emotionally
- 23:59you must be in a bit of a State of Shock
- 24:00I would
- 24:01think yeah it's been a stressful week
- 24:05for
- 24:07sure uh
- 24:10but I I'm not feeling too negative about
- 24:14it yet I it hasn't fully hit me I don't
- 24:16think yeah well it won't because God
- 24:19only knows what's going to happen to you
- 24:20over the next few weeks right it's going
- 24:21to be a real roller
- 24:23coaster and you know you know the other
- 24:25thing that you might consider is that
- 24:27it's possible that this will turn out
- 24:29extraordinarily positive for you you
- 24:31know there's going to be it's going to
- 24:33be a rough ride but um to the degree
- 24:36that you are accurate in your
- 24:38observations then you know it's not that
- 24:40easy to it's not that easy for the
- 24:43opponents of Truth to have a battle with
- 24:45truth it's not easy to have a battle
- 24:48with reality you know you tend to
- 24:50lose so can I just go over some of the
- 24:53things that you said so that we can
- 24:55discuss yes sir okay so I'm gonna take a
- 24:57look here
- 24:59so you started with a pretty
- 25:01good solid statement I would say
- 25:05Google's political bias has equated the
- 25:07freedom from offense with psychological
- 25:09safety but shaming into silence is the
- 25:12antithesis of psychological safety well
- 25:14that seems even more relevant now in
- 25:16your situation the silencing has created
- 25:18an ideological Echo chamber where some
- 25:20ideas are too sacred to be honestly
- 25:22discussed well we can check that one off
- 25:25too right firing certainly seems to
- 25:27indicate that that was the case the lack
- 25:29of disc discussion Fosters the most
- 25:31extreme and authoritarian elements of
- 25:33this ideology some of the extreme the
- 25:36extreme is all disparities in
- 25:37representation are due to oppression
- 25:39that's a good one right that's a
- 25:41univariant hypothesis it's very very
- 25:44simple-minded and then the authoritarian
- 25:46element you defined as the idea we
- 25:49should discriminate to correct for this
- 25:51oppression great and then you make a
- 25:53claim difference and distributions of
- 25:55traits between men and women May imp
- 25:58heart explain why we don't have 50%
- 26:01representation of women in teeken
- 26:03leadership discrimination to reach equal
- 26:06representation is unfair divisive and
- 26:08bad for business okay so that's your
- 26:10thesis and then you go along and try to
- 26:14uh justify it so the first thing you do
- 26:16is talk about left-wing versus
- 26:19right-wing biases and I should point out
- 26:21that you don't concentrate on the left
- 26:24biases or on the right biases you're
- 26:26completely evenhanded with regards to
- 26:28laying out the pros and cons so the left
- 26:31is compassion for the weak disparities
- 26:33are due to injustices humans are
- 26:35inherently Cooperative change is good SL
- 26:38unstable open and idealistic fair enough
- 26:42man you're dead on with regards to the
- 26:44relevant psychological literature where
- 26:46we see that political correctness is
- 26:48motivated by agreeableness and that
- 26:50liberalism is fundamentally predicted by
- 26:53openness and the right biases respect
- 26:56for authority disparities are natural
- 26:58just humans are inherently competitive
- 27:00change is dangerous stable that would be
- 27:03high conscientiousness and low openness
- 27:05and they're closed rather than open and
- 27:07pragmatic rather than idealist yeah well
- 27:09I don't think any reasonable person
- 27:11could read that column and say that you
- 27:12were coming down hard on the side of
- 27:14either part of the political Spectrum
- 27:18yeah Dr Peterson can I jump in with a
- 27:20question um it appears from my
- 27:23interactions with many people that they
- 27:27are rejecting words that were not
- 27:30written onto the paper and would you be
- 27:33able to elaborate on the schemas that
- 27:36people develop and how they classify
- 27:39information um in their minds um because
- 27:41this is very much how stereotypes form I
- 27:44would think um is by kind of just
- 27:46grouping a bunch of disperate but semi-
- 27:49related people or things together and
- 27:51then projecting an idea that may or may
- 27:53not pertain to that yeah well it's a
- 27:55it's a low resolution thought is is I
- 27:58mean what what's happened to James is
- 28:00that he you know he he he put up his
- 28:03hand and said wait a second I don't
- 28:04agree with the diversity ideology and he
- 28:07was immediately classified essentially
- 28:10as a misogynist and bigot and that's the
- 28:13simplest thing to do right because
- 28:15misogynists and
- 28:17bigots will hold viewpoints that are
- 28:20anti-female and racist and so it's a lot
- 28:24easier just to paint someone with a
- 28:26broad brush especially especially if
- 28:28they're violating the tenants of your
- 28:30implicit um temperament let's say than
- 28:33it is to dive into the details where
- 28:37real thought occurs and I think one of
- 28:39the sins that James committed was that
- 28:42he actually dared to make this about
- 28:44details rather than about vague hand
- 28:47waving ideology that's very annoying to
- 28:49people who don't want to think because
- 28:52in order to analyze his claims you'd
- 28:54have to go through well let's say 20 or
- 28:5630 scientific papers and actually
- 28:58understand what they mean and that's
- 29:00very annoying especially if you're
- 29:02pursuing a given agenda so okay so then
- 29:06you say neither side is 100% correct and
- 29:09both viewpoints are necessary for a
- 29:11functioning Society or in this case
- 29:13company yeah well I think the data is
- 29:15solid there too I mean our research has
- 29:17indicated that open people who are
- 29:19primarily liberals start companies and
- 29:22the more closed people the conservatives
- 29:24the traditionalists are good at running
- 29:26them they're better at being managers
- 29:28and administrators and that's associated
- 29:30with high conscientiousness so you've
- 29:32got it right there a company too far to
- 29:34the right may be too slow to react over
- 29:36Hier hierarchical and untrusted and a
- 29:39company too far to the left will be will
- 29:42over diversify its interests overly
- 29:45trust its employees and competitors and
- 29:48change perhaps too rapidly yeah great
- 29:50fine perfect nicely balanced as far as I
- 29:52can tell only facts and reasons Can Shed
- 29:54light on these biases but when it comes
- 29:56to diversity and inclusion Google left
- 29:58by us has created a politically correct
- 30:00monoculture that maintains its holds by
- 30:02shaming descenders into silence well
- 30:05that certainly seems to be the case yeah
- 30:08okay this silence removes any checks
- 30:09against encroaching extremist and
- 30:11authoritarian policies all right at
- 30:14Google we're regularly told that
- 30:16implicit unconscious and explicit biases
- 30:18are holding women back in Tech and
- 30:20Leadership of course men and women
- 30:22experience bias Tech and the workplace
- 30:24differently and we should be cognizant
- 30:26of that but it's far from the whole
- 30:27story on average men and women
- 30:29biologically differ in many ways these
- 30:31aren't just socially constructed because
- 30:32they're Universal across cultures clear
- 30:35biological causes links to prenatal
- 30:37testosterone biological males castrated
- 30:40at Birth and raised as females often
- 30:41still identify and act like males DL
- 30:44traits are highly heritable and they're
- 30:46exactly what we would predict from an
- 30:47evolutionary psychology perspective note
- 30:49I'm not saying that all men differ from
- 30:51women in the following ways or that
- 30:53these differences are just and then you
- 30:55put in a nice chart indicating that the
- 30:58amount of overlap between men and women
- 31:00per trait is greater than the amount of
- 31:03difference right and so you state that
- 31:05directly that that's that's perfect
- 31:07that's a very good way of of Defending
- 31:09Your thesis and also of not overstating
- 31:12the case then you do a nice job of of
- 31:16also graphically indicating what happens
- 31:18if the distribution is ignored and
- 31:20people are just treated as if they're
- 31:21unipolar representatives of a given
- 31:24Group which is kind of what the D what
- 31:26the people who are predicating
- 31:28the push for diversity on gender and
- 31:30race are assuming right yeah which is
- 31:33imp which is really so funny because
- 31:35it's really a biologically essentialist
- 31:37argument much much greater than than
- 31:40than the argument that you're making
- 31:41which is that men and women and the
- 31:45members of different races are so
- 31:47different that in order for a full
- 31:50diversity of viewpoint to be achieved
- 31:52you have to pull in people by race and
- 31:55gender which which which implicitly
- 31:57States that the differences are so great
- 32:00that the distributions don't
- 32:02overlap yeah right you couldn't make a
- 32:04more racist and misogynous statement
- 32:07than that and and it's also technically
- 32:10wrong because men and women are more
- 32:11alike than they are different maybe if
- 32:13you summed up all the differences you
- 32:15could absolutely differentiate between
- 32:17them you know in in all likelihood you
- 32:19could but some of those differences are
- 32:21clearly irrelevant to the workplace yeah
- 32:23okay then you go through the personality
- 32:25difference literature and you're you're
- 32:28exactly right on that I see that the CEO
- 32:31took you to task for using the word
- 32:34neuroticism however that is the
- 32:36technical term in the personality
- 32:37literature and there are historical
- 32:38reasons for that a better word might be
- 32:41negative emotion but it's clearly the
- 32:43case that women are higher in negative
- 32:45emotion than men and that means that
- 32:47they are on average less tolerant of
- 32:50uncertainty and stress they suffer more
- 32:51psychologically for for the equivalent
- 32:54levels of of uncertainty and stress and
- 32:56that is also why why cross-culturally
- 32:59women have more depressive disorders and
- 33:01anxiety disorders and the research on
- 33:03that is Rock Solid Rock Solid men have
- 33:06their own problems right they're more
- 33:07likely to be antisocial they're much
- 33:09more likely to be imprisoned they're
- 33:11more likely to have learning
- 33:12disabilities so it's stating that there
- 33:15are differences in the rates of certain
- 33:17kinds of psychopathologies doesn't put
- 33:19any either gender into a position of
- 33:21relative
- 33:22inferiority so and then you quote re
- 33:27Arch that suggest that greater Nation
- 33:29level gender equality leads to
- 33:31psychological dissimilarity
- 33:33dissimilarity in men and women's
- 33:34personality traits absolutely that's
- 33:36what the Scandinavian studies indicate
- 33:38there's been a number of them and
- 33:40they're very large studies so you got
- 33:42that right what what this what the
- 33:44researchers demonstrated was that
- 33:47as
- 33:48comp
- 33:50as um countries move to flatten out the
- 33:54socioeconomic playing field and remove
- 33:57discrimination
- 33:58the differences between men and women or
- 34:00many of the differences between and
- 34:01women maximize instead of minimizing and
- 34:05in Scandinavia you really see
- 34:07maximization of the difference in men
- 34:09and women with regards to interest in
- 34:10people versus interest in things a major
- 34:13a major issue men's higher drive for
- 34:16status yeah well we know that women are
- 34:19hypergamous and that they choose men on
- 34:20the basis of their socioeconomic status
- 34:23right well documented cross-culturally
- 34:25and also just rational because
- 34:28uh women have to make themselves
- 34:30dependent when they are pregnant and
- 34:32when they have infants and it makes
- 34:33perfect sense for them to seek out the
- 34:35most competent person they can manage
- 34:38the most competent and generous person
- 34:40they can manage in order to help them
- 34:42bear the burden so so not no no dispute
- 34:46there at least no you're not um
- 34:52diverting from the central tenants of
- 34:54evolutionary psychology and biology
- 34:57people will dispute those findings but
- 35:00you're not Conjuring this out of thin
- 35:02air there's a nice solid scientific
- 35:04literature behind
- 35:06you so and you know it's it's also very
- 35:09interesting to look at the US Labor
- 35:13stats on gender differences in
- 35:15occupations you know because it's so
- 35:17funny to watch the radical feminists
- 35:19only go after the high status
- 35:20occupations it's like 100% of brick
- 35:23layers are
- 35:24men we don't hear that being being
- 35:28complained about and of course men
- 35:29occupy most of the outside jobs they
- 35:31move more and they do more of the
- 35:33dangerous jobs as well um so so these
- 35:37are all factors that are are relevant
- 35:39but completely undiscussed as far as I
- 35:43can tell by the sort of ideological
- 35:44types that have been going after you so
- 35:48women are on average more Cooperative
- 35:50yeah especially with members of their
- 35:52ingroup whether they're more Cooperative
- 35:55with members of their outg group is a
- 35:56different story right because agreeable
- 35:58people are in-group oriented and and
- 36:01very hard on outgroup members which I
- 36:03think is partly why the PC types are so
- 36:05hard on their enemies because you know
- 36:07they regard them as predators predators
- 36:10on infants essentially something like
- 36:12that women on average are more prone to
- 36:14anxiety yes that's
- 36:17true uh women on average look for more
- 36:19work life balance that seems to be the
- 36:22case I don't know if the literature on
- 36:24that is as tight you know but um it's
- 36:27certainly case that law firms for
- 36:29example have a hell of a time keeping
- 36:31their women in in in Partnership
- 36:33positions because most of them don't
- 36:35want to work the 60 hour work weeks 60
- 36:37to 80 hour work weeks that are necessary
- 36:39to performance at that extremely high
- 36:43level so Dr Peterson for for anybody who
- 36:46might be new listening in um you
- 36:48mentioned that a lot of women might not
- 36:50be um you know interested in working
- 36:54those you know 60 to 80 hour work weeks
- 36:56do you think it would make sense to
- 36:57stand upon that just a little bit I know
- 36:59you talk through hypergamy um but you've
- 37:02also mentioned the thing about why would
- 37:03anybody want to do that no matter what
- 37:06their gender is we got to get the
- 37:08mystery right here the mystery isn't why
- 37:11there are a bunch of people who are low
- 37:13status because almost everyone's low
- 37:16status comparatively speaking right men
- 37:18and women alike it's a small P minority
- 37:21of people who are high status on any
- 37:23Dimension and they tend to be hypers
- 37:25successful and they tend to be men so
- 37:27you see this in in in scientific
- 37:29publishing for example so the median
- 37:32Professor male publishes as much as the
- 37:35median Professor female but the vast
- 37:38majority of the high publishing people
- 37:40are males and that seems to be because
- 37:43there are a small percentage of males
- 37:45who are very status seeking very focused
- 37:47very energetic and and very much prone
- 37:49to put their career first and part of
- 37:52the theory for why that is is that some
- 37:55men are that that that the the U
- 38:00evolutionary and sexual tradeoff for men
- 38:03with regards to high status is much
- 38:05higher than it is for women so there's
- 38:07good documentation and I can find these
- 38:08references too that the number of sexual
- 38:12partners or opportunities that a man has
- 38:14in the previous year tightly associated
- 38:16with his socioeconomic status whereas
- 38:19the number of Partners or opportunities
- 38:21for partnering that a woman has is
- 38:23negatively correlated with her status
- 38:26and that might be partly because High
- 38:27status women who are looking for either
- 38:30even higher status men price themselves
- 38:32out of the mating market and there's
- 38:34actually pretty good documentation of
- 38:36that as well so so you're fine you're
- 38:39fine with all of
- 38:42that the harm of Google bu Google's
- 38:45biases to achieve a more equal gender
- 38:47and race representation Google has
- 38:49created several discriminatory proes
- 38:52programs mentoring in classes only for
- 38:54people with a certain gender or race a
- 38:56high priority Q INSP special treatment
- 38:58for diversity candidates hiring practice
- 39:00which can effectively lower the bar for
- 39:02diversity candidates by decreasing the
- 39:04false negative rate yeah that's a big
- 39:06problem you either have standards or you
- 39:08don't the problem is is that if the
- 39:11standards produce a non-e Equitable
- 39:13outcome then what happens is people
- 39:14criticize the standards and that would
- 39:17be fine if if the standards bore no
- 39:19relationship to the
- 39:21job but the problem is is that if you
- 39:24have your hiring practices set up
- 39:25halfway intelligently and and it's never
- 39:28perfect you're actually hiring for
- 39:30attributes that would make uh job
- 39:32Effectiveness much more
- 39:34likely yeah so how did you come across
- 39:38all this
- 39:39information uh part of it was through
- 39:41that diversity
- 39:43Summit and just looking through all the
- 39:46stuff that we have online or through our
- 39:49internal
- 39:50sites yeah so you've been doing a fair
- 39:52bit of literature review yeah yeah
- 39:58these practices are based on false
- 40:00assumptions generated by our biases and
- 40:02can actually increase race and gender
- 40:04tensions yeah well the whole unconscious
- 40:06bias thing is a great example of that is
- 40:08like first of all those tests the
- 40:10implicit association test are nowhere
- 40:13near reliable or valid enough so nowhere
- 40:16near the quality necessary to diagnose
- 40:18anyone as having a unconscious bias
- 40:23second second the data relating those
- 40:27so-called unconscious biases to actual
- 40:29behavior is weak third there's no
- 40:32evidence whatsoever that anti-
- 40:34unconscious bias training programs have
- 40:36any positive effect whatsoever and some
- 40:38that they have negative effect part
- 40:41because people don't like to be called
- 40:42racists yeah and marched off to Force
- 40:45re-education training so suggestions
- 40:48demoralized diversity yeah that would be
- 40:51good and start to Define it more
- 40:53appropriately right yeah and and to to
- 40:55start having a real conversation what
- 40:57proper hiring practices should be which
- 40:59should be objective standards
- 41:01universally applied without bias because
- 41:05that's the best we can do that's still
- 41:07going to introduce some non-equal
- 41:09outcomes but of course hiring practices
- 41:10are designed to do that for example
- 41:13they're clearly designed to reward more
- 41:14intelligent people given that IQ is
- 41:17highly
- 41:19heritable that's actually a real problem
- 41:22yeah definitely and we definitely set up
- 41:24hiring practices to reward conscientious
- 41:26people
- 41:28so and what
- 41:30are and what about propensity to
- 41:33negative emotion it seems to me that
- 41:35screening for stress tolerance is a
- 41:37reasonable thing to do in high stress
- 41:38jobs unless you want to put the person
- 41:40in a position where they're likely to
- 41:42collapse to be miserable I don't see any
- 41:45utility in that Dr Peterson I had a
- 41:48question actually relating to that um
- 41:51from an employment standpoint is there
- 41:53an
- 41:54Optimum um sensitivity to stress that
- 41:57you've seen from the most economically
- 42:00productive employees by that I mean I
- 42:02feel like there's a middle ground
- 42:04between people who are laidback versus
- 42:07people who are um probably um
- 42:12overstimulated by um external factors
- 42:15that make them self-conscious and these
- 42:17people I think at least at the lower mid
- 42:19levels of many companies actually have a
- 42:21little bit more anxiety that powers
- 42:23their Ascension through the dominance
- 42:25hierarchy yeah well it's a trick issue
- 42:27because you're probably the sort of
- 42:30negative emotion that might be useful in
- 42:33motivating you is probably more
- 42:34associated with conscientiousness than
- 42:36with neuroticism like neuroticism seems
- 42:39to be linked pretty tightly to anxiety
- 42:41and emotional pain frustration
- 42:43disappointment grief those all sort of
- 42:45fit into that those categories whereas
- 42:48the negative emotion perhaps that's
- 42:50associated with conscientiousness and
- 42:52and industriousness in particular seems
- 42:53to be more something like self-contempt
- 42:56and disgust and so conscientious people
- 42:59are made uncomfortable by their lack of
- 43:03productive effort but that doesn't seem
- 43:06to be associated with trait neuroticism
- 43:08it's a different
- 43:10thing so that's partly why it's so
- 43:12necessary to get the psychometrics right
- 43:14right and to get the to get the
- 43:15measurement right so the best hiring the
- 43:18best hiring screeners are like a Big
- 43:20Five personality test roughly speaking
- 43:23especially uh weighted towards
- 43:25conscientiousness and for complex Lex
- 43:27jobs a general cognitive ability test
- 43:30although there's some question about the
- 43:32legality of those in the current
- 43:34political situation
- 43:37so all alienating conservatives is both
- 43:40non-inclusive and generally bad business
- 43:42because conservatives tend to be higher
- 43:43in conscientiousness which is required
- 43:45for much of the drudgery and maintenance
- 43:46work characteristic of a mature company
- 43:49yes
- 43:50absolutely
- 43:53so now here's what you suggest confront
- 43:57Google's biases well you've done that
- 43:59we've seen how that went I would start
- 44:01by breaking down Google's scores by
- 44:03political orientation and personality to
- 44:05give a fuller picture into how our
- 44:07biases are affecting our culture that's
- 44:09a fine idea stop restricting programs
- 44:12and classes to certain genders or races
- 44:14yes well obviously have an open and
- 44:17honest discussion about the costs and
- 44:19benefits of our diversity programs well
- 44:21I guess that's what we're trying to do
- 44:23right now discriminating just to
- 44:25increase the representation of women in
- 44:27Tech is as misguided and biased as
- 44:29mandating increases for women's
- 44:31representation in homeless work rated
- 44:33and violent deaths prisons and school
- 44:35dropouts yes it's the same thing and
- 44:39it's the same issue as the brick layer
- 44:41issue as well and what are you going to
- 44:42do you're going to chase the nurses out
- 44:44of the women out of Nursing and medicine
- 44:46and psychology and social work and and
- 44:49University undergraduate programs where
- 44:51they're radically over represented so
- 44:53what about Jews you going to get rid of
- 44:55them too because they're over
- 44:57represented in most complex occupations
- 44:59and Asians as well so or you only you're
- 45:03only going to do this in very limited
- 45:05circumstance you're going to figure out
- 45:06some way to put a limit on that are you
- 45:08seems very
- 45:10unlikely I almost wonder what the ADL is
- 45:13you know will be thinking six six months
- 45:16from now or 12 months from now given the
- 45:19high number of you know at least in the
- 45:20United States um ashkanazi je in
- 45:23leadership positions at companies that
- 45:25are ADV advocating for less of
- 45:27themselves or less people who are in the
- 45:29bucket that they're in yeah well as long
- 45:31as the discussion centers on the over
- 45:33representation of white men people seem
- 45:35to have no problem but you start to
- 45:38break that down a little bit and because
- 45:41uh Jewish white men are particularly
- 45:43over represented is why they going to
- 45:44make an issue out of that really we're
- 45:46going to do that so and Asians are
- 45:50already having a harder time getting
- 45:51into universities so that's well
- 45:54documented so and that that's a terrible
- 45:57thing partly because of the cost to the
- 45:58individuals involved but also the cost
- 46:01to society because it means that we're
- 46:02not taking the people who are most
- 46:04competent and allowing them to expand
- 46:06their education to the greatest degree
- 46:09possible and because there aren't that
- 46:11like smart competent people are actually
- 46:13rather rare and it's to society's
- 46:15advantage to exploit the hell out of
- 46:16them and you know pay them well for that
- 46:19but it's not like they're of no benefit
- 46:22and everyone knows that when they try to
- 46:23hire someone competent deemphasize
- 46:26empathy yes empathy is a
- 46:30good um ethic for small family units and
- 46:34a terrible ethic to run a company by it
- 46:37looks like conscientiousness is the
- 46:39right ethic to run a company by and I
- 46:41think conscientiousness we don't have
- 46:42good animal models for conscientiousness
- 46:44hey but I think conscientiousness
- 46:46probably evolved so that human beings
- 46:48could could operate in groups that were
- 46:51larger than just kin sized you know
- 46:54because Equity makes sense at a kin
- 46:56level every mother wants her children to
- 46:59have a good outcome in life and wants
- 47:00resources distributed equally between
- 47:03them so it's not like it's something
- 47:05that doesn't have a
- 47:06niche micro prioritize intention our
- 47:10focus on microaggressions Etc and other
- 47:12unintentional transgressions increases
- 47:14our sensitivity you do a nice job of
- 47:16criticizing that I read darl Wing Sue's
- 47:19book on microaggression it's an
- 47:20appalling it's an appalling load of trip
- 47:23to put it Burly and I believe Scott
- 47:25lilenfeld who's a very good psychologist
- 47:27has recently published a paper um
- 47:30shredding the the construct validity of
- 47:32the concept of microaggression so it's a
- 47:35non-valid construct right from the
- 47:37bottom up it's purely ideological in
- 47:39nature and it's also one of those
- 47:40constructs that allows anyone who's
- 47:42offended to to weaponize their weaponize
- 47:46discourse around it so yeah reconsider
- 47:49making unconscious training bias
- 47:51training mandatory for promotion
- 47:52committees yeah that should be
- 47:54reconsidered it should be stopped
- 47:56there's no no scientific basis
- 47:58whatsoever for proceeding with that
- 48:01operation
- 48:03so great well you know it's a pretty
- 48:06straightforward document as far as I'm
- 48:08concerned and I've gone through it with
- 48:10a fairly fine tooth comb as a behavioral
- 48:13scientist and I would like to State for
- 48:15the record that I believe that what you
- 48:17said in there if not accurate was at
- 48:20least representative of the current
- 48:22state of art among well-trained
- 48:25psychometrically um
- 48:27uh informed psychologists who are
- 48:30experts in the field of individual
- 48:31difference so
- 48:35congratulations too bad you have to pay
- 48:37such a price for
- 48:40it all right well thank you very much
- 48:44for the conversation ah one other
- 48:46question why did you agree to talk to
- 48:49me I I'm a huge fan so and I know that
- 48:54you went through
- 48:55similar any uence on on this I mean
- 48:59you're going to pay a actually I'm not
- 49:02sorry I'd like to say I was sorry but
- 49:05I'm not I'm actually really
- 49:07pleased I I do think that you're going
- 49:09to be pay a big price for this but that
- 49:11the net consequence will be very
- 49:13positive and I'm I I think you did an
- 49:16excellent job on this document I think
- 49:18you were very careful I think the fact
- 49:20that you're being labeled with epithets
- 49:23and that you were fired is absolutely
- 49:25reprehensible
- 49:27you know it's clear to me that you're
- 49:29just trying to figure out what the
- 49:31hell's going on and that you know you're
- 49:34not you're not any of the things that
- 49:36people would like to think you are so
- 49:38that they don't have to bloody well
- 49:40think about what it is that you said and
- 49:41did so like congratulations to you man
- 49:44courageous people are rare and you put
- 49:46yourself on the line and I've really
- 49:47learned that in the last year so I would
- 49:51say Keep Your Head Up assume that this
- 49:53is going to work out it I wouldn't hide
- 49:55from the Press
- 49:57because I think the Press is actually
- 49:59you're the right kind of person for the
- 50:02press to be a something for you to use
- 50:06you know you're well spoken you're quiet
- 50:09you're you're you're convincing you're
- 50:11rational um you're obviously at least
- 50:15you come across as a decent guy very
- 50:17very rapidly um there's no reason I
- 50:21would say there's no reason not to let
- 50:23people see who you are because I think
- 50:25that would improve your credibility and
- 50:28make your message even more powerful so
- 50:30you think about that I mean you're you
- 50:32are have every right to defend your
- 50:34privacy you know but and and that's fine
- 50:38but I don't think that you have any
- 50:40reason to be afraid of the press I would
- 50:42say a couple of things when you're
- 50:44talking to the
- 50:45Press don't
- 50:48apologize don't tell people what you're
- 50:50not don't tell them that you're not aot
- 50:53and that you're not a misogynist that's
- 50:55a technical error um and stick to your
- 50:57damn guns you know as as as quietly and
- 51:02forthrightly as you can and man you're
- 51:04going to come out on top of this because
- 51:06you're you're on the side of the right
- 51:08as far as I'm concerned
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This page contains the full transcript of 2017/08/08: James Damore and his Google Memo on Diversity (complete) by Jordan B Peterson, generated from the public captions YouTube serves with the video. The transcript has 8,327 words across 1,273 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.
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