In Bed With The Right - August 13, 2025


Episode 89: IQ Fetishism with Quinn Slobodian

Episode 88 -- Project 1933, Part V: July 1 - July 31 Episode 91 -- The Mailbag Episode, Part 1

Episode Stats


Length

49 minutes

Words per minute

165.24

Word count

8,148

Sentence count

331

Harmful content

Toxicity

7

sentences flagged

Hate speech

20

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
00:00:00.000 Hello, I'm Adrienne Dobb.
00:00:08.720 And I'm Moira Dodigan.
00:00:10.040 And whether we like it or not, we're in bid with the right.
00:00:13.960 So, Adrienne, today we have a very special guest.
00:00:18.000 One of these people who I'm a little shocked agreed to join us.
00:00:22.840 Quinn Slobodian is here.
00:00:24.820 Quinn has a new book called Hayek's Bastards that caught my eye, particularly for his one chapter called Neurocasts, which he is here to talk to us about, exploring the neoliberal right wing's use of IQ and race science to further their economic vision.
00:00:46.040 Quinn, thank you so much for being with us.
00:00:47.560 It's my pleasure.
00:00:48.140 So there's one theory of the Trump era that, you know, Trump is accelerating, but is also sort of the product of a kind of like epistemic collapse.
00:00:58.200 This notion that the right wing elites and the sort of populist masses that they are harnessing have this broad based hostility to authorities of knowledge, right, towards professors, towards doctors, towards public health representatives.
00:01:17.600 And you see this kind of thing like in Clarence Thomas's concurrence in Scrimetti, right, which is basically an attack on a medical authority.
00:01:25.940 You see it in more or less anything that RFK does at the Department of Health and Human Services.
00:01:32.260 And there's this notion that, you know, there is a new right-wing populist distrust of expertise and deferral to like the impulses and preferences of the people, the common man, right?
00:01:45.720 It's easy to view this trend as a kind of reemergence of superstition and a distrust of empiricism.
00:01:54.780 And Quinn, in your book, one of the things you argued, I thought, really compellingly was that this is kind of a misapprehension of what's going on with thinkers on the right wing regarding both their notions of like the people and also their relationship to epistemic authority.
00:02:10.280 And one of the things that you say is that we are now experiencing the culmination of this history in which conservative economists turn to nature and to their own sort of distinct sources of science and empirical authority in the wake of the Cold War to make the case for their worldview.
00:02:26.680 Yeah, absolutely. No, I'm a big proponent of the idea that there's science on one side and then just, I don't know, ignorant opposition to expertise on the other is a really bad framing.
00:02:36.760 And for someone like RFK, actually, in particular, right? I mean, he is the master of, like, do your own research and part of this worldview that there's actually buried data out there that has been suppressed and needs to be brought to light and that they are the ones who are actually the most faithful to science.
00:02:52.640 And they're holding that against the, you know, the woke distortions of the elites who are just bending the truth to reproduce their own power.
00:03:00.940 So there definitely is this storyline about the appropriation of a language of science by the insurgent far right.
00:03:12.140 And as I tell in the book, this becomes one of the territories where two groups of people who seem quite different from each other end up hanging out, mobilizing, allying.
00:03:23.640 And those two groups are people who are mostly interested in questions of ethnic purity and national purity.
00:03:30.940 what we call like an ethno-nationalist right. And those people who are mostly interested in
00:03:35.820 questions of economic freedom, what you would normally call libertarians or neoliberals.
00:03:41.500 And so that book is really about why it was that in the wake of the Cold War and in the 1990s,
00:03:46.840 those two groups found shared ground on a revived science of human nature that grounded natural
00:03:55.180 hierarchies in something that they thought was like beyond the reach of the social movements
00:04:00.420 and the progressives that had long bedeviled them.
00:04:04.040 I was so excited by this story you tell
00:04:06.080 because I think you really touch on a few of our
00:04:09.340 like in bed with the right bugaboos, right?
00:04:11.420 So this is a story that casts a new light for me
00:04:15.360 on sort of, you know, birth rate anxieties
00:04:18.140 that we're going through right now
00:04:19.680 in a lot of popular media.
00:04:21.280 It made me think differently
00:04:23.220 about the sort of like superiority complexes
00:04:25.760 inherent in a lot of the masculinities of Silicon Valley,
00:04:29.520 What we refer to in our little world as like the creep masculinity.
00:04:33.600 And then it also made me think really differently, particularly in this one chapter that we're going to be talking about today, about the quasi-mythical status of IQ in the right-wing imagination.
00:04:43.600 So I particularly wanted you to tell us about how like IQ testing, race science, and this like ethos of positive eugenics and sort of skepticism of, you know, social democratic welfare programs.
00:04:59.520 have been feeding into an economic theory of what you call neurocasts, right? These people
00:05:06.580 who are esteemed to be biologically suited for certain kinds of work and certain kinds of
00:05:11.800 compensation. Yeah, I mean, people would probably be most familiar with the bell curve from 1994
00:05:18.340 as something that seems to have, in recent history, revived discussion of IQ racism and
00:05:25.340 became a really important touchstone for the far right up to the present and mainstreamed again
00:05:30.940 the idea that these IQ tests were somehow meaningful ways of measuring people's worth
00:05:38.240 in the economy and ultimately their worth as citizens. But the thing that I lay out in the
00:05:44.000 book is an earlier prehistory of the IQ fixation, which doesn't short circuit all the way back to
00:05:50.680 Lewis Terman, although there will be some Stanford racists in between, I promise you,
00:05:55.100 so don't worry. It doesn't go all the way back to the stuff that Malcolm Harris has recently
00:05:59.940 excavated. And the recent book, Predatory Data, has also done a nice job on this.
00:06:05.860 But there's this one book called The Geography of Intellect, which I found really fascinating,
00:06:10.520 written by Stéphane Paussigny, who was a Viennese political scientist who ended up as a long-time
00:06:16.780 fellow at the Hoover Institution at Stanford, and someone else named Nathaniel Weil, who was a
00:06:23.320 really fascinating character who was, among other things, part of the Alger Hiss trial, which helped
00:06:28.460 to denounce Alger Hiss, a former communist, who then became a hard-right conservative and
00:06:35.260 specifically an IQ fanatic racialist. And they wrote this book, The Geography of Intellect,
00:06:41.940 which is really a foreshadowing of the bell curve, comes out in the early 1960s, has a bell curve
00:06:48.100 somewhere on its cover, and basically says that in this time of decolonization and excitement
00:06:55.180 about foreign aid development, maybe the upending of the normal imperial world order, that none of
00:07:02.120 that was ever actually going to happen because the distribution of wealth around the world was
00:07:07.800 just downstream from the distribution of cognitive ability. So, whites were smart. That's why they 0.96
00:07:14.580 were rich. That's why their civilizations had succeeded, and brown and black people were not, 1.00
00:07:19.940 and therefore, they were mired permanently in the state that they found themselves in circa 1962, 1.00
00:07:26.160 and they would stay ever thus. So, it was a very deliberate kind of counter-revolutionary
00:07:32.380 deployment of IQ science. It sounds like the book is claiming the impossibility of decolonization
00:07:38.900 in exactly the same way that the bell curve in 94 will try to biologically, quote-unquote, prove
00:07:43.860 the impossibility of multiculturalism, right? Exactly. So that's not a coincidence, right?
00:07:48.840 One of the arguments of the book or the observations of the book is that these
00:07:52.260 appeals to supposed hard science arise at times when there's some need to repress or push back
00:07:59.400 into the bottle what they see as forces that threaten existing hierarchies, especially around
00:08:06.280 race and gender. So that was round one, thwart decolonization with appeals to IQ. And indeed,
00:08:15.380 then the bell curve in 1994 was the same thing, trying to deal the death blow to post-1960s,
00:08:22.520 post-great society demands for some kind of equality and outcomes, especially educational
00:08:28.440 outcomes, which of course had been, you know, very large scale, lots of resources, lots
00:08:34.260 of thought, lots of time and effort put in from the 1960s to the 90s to try to make things
00:08:41.500 turn out somewhat more similarly for richer, poorer, black, more black and more white communities.
00:08:47.980 And there had been very disappointing outcomes. 0.97
00:08:50.540 So it was very reassuring for a lot of people for the bell curve to come along and say,
00:08:54.480 oh, don't keep trying.
00:08:55.920 This is the answer.
00:08:56.680 It's been here all along.
00:08:57.680 This thing is written into the DNA, it's written into the genes, and these meliorist efforts are always doomed to fail.
00:09:06.520 Right. There's something like almost kind of comforting in it for like the frustrated egalitarian, right?
00:09:12.780 Like it's not that we have collectively failed morally or in terms of our imagination or in terms of our investment.
00:09:19.940 It is that like this is a naturally preordained hierarchy that we bear no responsibility for.
00:09:27.680 Yeah. And I would say in many ways, we're kind of still in that era, right? That deferral of blame to endowments that are beyond the reach of social policy sort of feels like the defeatist era of treatment of educational inequality that kind of reigns to this day.
00:09:46.100 The other thing that strikes me as interesting about IQ is that you're kind of outlining why it was structurally so important for people's worldview, but it also becomes really, really interesting in their own biographies, right?
00:09:58.880 And I'm thinking here about like how 19th century race science and sort of phrenology and physiognomy were often sort of practiced inside the home and on yourself.
00:10:07.080 And I'm just thinking like, I feel like there's two kinds of people in the world, the kinds of people who know their IQ and people who have never, ever had any interest in like finding out any of that stuff.
00:10:16.100 Like the way it sinks its claws into the individual biography and really becomes sort of the way someone makes sense of their own rise or not rise, their own career or the career they didn't end up having.
00:10:29.120 Can you talk a little bit about that?
00:10:30.700 Like the way it is this way of thinking about populations at this extremely large level and the scientificity such as it is, is all about vast numbers.
00:10:39.760 But then when someone starts with it, it's like, oh, this is about you.
00:10:43.420 You need this to be true right now.
00:10:45.260 Yeah. No, I mean, that was clearly true for Weil, who was very active in the Mensa Society. It won't surprise you to find out.
00:10:52.920 Wow. 0.99
00:10:53.060 Who was very worried about the falling standards in the Mensa Society and the existence suddenly of too many women in it, among other things. 0.98
00:11:00.800 And it was very true for Charles Murray and Richard Herrnstein, too.
00:11:04.580 So, they were both from more humble backgrounds.
00:11:09.020 So, Hernstein grew up pretty poor from a Hungarian immigrant family in Brooklyn, and Charles Murray grew up in Ohio. I believe his father was like a whirlpool repairman or something like that.
00:11:20.060 And then had both, of course, made their way to Harvard through their own hard work and their own efforts and their own IQ. And it galled them, especially. And they talked a lot about that to see people who had been given a free pass to come in and get the things that they had rightly deserved because of their natural endowments.
00:11:40.820 And Murray, doing the conservative thing, of course, flipped it around and said, it's not only bad for me to see, you know, a black kid on campus in Harvard Yard in the 1990s, but it's actually especially hard for the black kid because he now knows and is burdened with this fact that others look at him as illegitimate in his presence on the campus.
00:12:00.540 So we need to restore, you know, erect that sense of individual certainty for everyone, not just for ourselves, although it's transparently just an expression of their own experience, for sure.
00:12:13.100 And discomfort, yeah.
00:12:14.160 A point now made repeatedly by Clarence Thomas, basically, whenever he has the opportunity.
00:12:18.740 That's right.
00:12:19.140 Completely.
00:12:19.380 So I'm interested in this blip of 1963 with the publication of The Geography of Intellect, because like how euphemistic is that versus how avowed is it in its scientific investment in white supremacy?
00:12:35.380 Because, you know, one narrative I had about race science that I think you've done somewhere to debunk, but I think it's a common one, is that Darwin's theories were taken up as a means to justify various inequalities, right?
00:12:51.620 Be it global imperialism or, like, race and gender hierarchies within Western countries.
00:12:58.000 And that, like, in the late 19th and basically the first half of the 20th century, this leads to a big craze for eugenics that creates all kinds of sundry intellectual dishonesty and moral catastrophe in the form of things like, you know, sterilization campaigns. 0.67
00:13:14.920 But then I also thought that the embrace of the Third Reich had sort of put the brakes on that, right?
00:13:21.400 And the horrors of the Holocaust, the affiliation of race science with the Nazis had done a lot to sort of push this line of inquiry out of respectability, even among, you know, conservative thinkers, right? 0.52
00:13:39.260 Yeah. 0.84
00:13:39.400 This is a telling in which race science has made a more recent comeback, right?
00:13:43.300 But in your book, you narrate how it was sort of like, not even exactly peripheral, but like being cultivated in quieter ways in these think tanks.
00:13:55.600 Do you want to like tell us a little bit of that like history of how race science survived after the Nazis?
00:14:01.460 Yeah, so I think for the most part, the story that you had as an assumption is correct, that there was this counterattack by Franz Boas and his students, basically, Ruth Benedict, Margaret Mead, Sarah Neal Thurston, and the rise of cultural anthropology did put paid to the idea of essential physiological differences mapping onto a hierarchy of traits in some identifiable way.
00:14:26.620 So, from the 1950s, really up to the 90s, it was really the high point of the idea that, as we were probably all taught in college, race is a social construct. It doesn't actually mean anything. It's invented by the powerful to justify and legitimize their own power.
00:14:44.000 And the whole point of studying race and racism is to poke holes in it and undermine it and show it to be ideology and mythology, you know, history made into nature.
00:14:54.540 However, in the shadows through that whole period, there was a kind of twilight version of race science and physical anthropology that continued to exist, sometimes in pretty shady and disreputable places.
00:15:10.680 I give some of the background of that. Something called the Pioneer Fund in particular funded something called Mankind Quarterly, which did not have a huge subscription base, but had a very devoted one.
00:15:23.080 And among the people who were very devoted to it were indeed some of the people connected to the main libertarian or free market think tanks of the 1950s and 60s.
00:15:33.180 So the Intercollegiate Studies Institute, a big Mankind Quarterly fan.
00:15:38.400 The Institute for Humane Studies, this is where we get close to the Stanford races of when it was still in Menlo Park before it moved to George Mason University, was a kind of hub for trying to keep alive the idea of physical anthropology and racial difference as a way to counter what they saw as the socialistic civil rights movement.
00:16:02.060 William Shockley, another denizen of the Valley, who famously was proposing that he would offer cash prizes or rewards to Black men to sterilize themselves, was someone who was in touch with the people at Institute for Humane Studies.
00:16:17.880 So there was this race science community that continued to exist, sometimes overlapping with occultish neo-Nazi kind of circles.
00:16:27.520 But at the same time, there was also more mainstream physical anthropology.
00:16:32.420 So the kind of people who would study the bones of early man, so to speak, and Neolithic remains were part more of the genealogy that had been marginalized by Franz Boas and company.
00:16:45.720 And they have had a major resurgence, obviously, since the 1990s.
00:16:49.620 And that's one of the things I talk about in the book, too, is the context for why IQ and race science starts to come back into public discussion in the 1990s or become more like Zalon Fee, which Germans say, like ready for the salon, is because of things like the Human Genome Project, which restored the idea of population differences being something one can, you know, put your finger on.
00:17:14.180 And the idea that there was a gene for this and a gene for that, again, something we probably remember from our childhood or teenage years since, you know, discredited.
00:17:23.320 But the 90s were a real time when, as Rogers Brubaker and other people have talked about, race kind of got taken away from the humanities and given back to the scientists.
00:17:33.940 And this idea that race was something that was real and that not only people on the right might be interested in that, the people on the left who are worried about things like the vulnerability of populations to things like sickle cell anemia or other kinds of disorders that are disproportionately represented in certain marginalized groups, then it might be good to actually to pay attention to self-identification of race.
00:17:58.940 So the 90s are a real hinge moment where, you know, by now in the era of like consumer DNA tests and 23andMe, it's completely normal for people just to say like, oh, yeah, no, I'm like 2.5% Ashkenazi Jewish.
00:18:13.380 That's so strange. 0.50
00:18:14.000 35% Mongol, Asian, and my mother's kind of a bit proud about the fact that she has the
00:18:20.060 highest possible Neanderthal DNA that you can have, because that's become now something that
00:18:24.880 Stephanos Garolanos, in his new book about the invention of prehistory, has a great section about
00:18:30.800 how the far right in Europe has reclaimed the Neanderthal as a kind of proto-white population.
00:18:37.620 Maybe you should talk to him about that. So there's a way that that kind of science
00:18:43.120 continued. But I think it's also worth mentioning, only because I've been razzed by this a bit,
00:18:48.060 that's a polite way of putting it, but by some people who've been critical of the book,
00:18:52.140 for saying that I made the IQ idea seem entirely the property of the right.
00:18:58.060 So educational psychologists, including many on the left, have often deployed intelligence testing
00:19:04.720 not to reinforce the idea that there's a natural hierarchy, but actually to try to carry out the
00:19:12.020 very equalizing policies that the right is often opposed to. So there's a kind of irony or paradox
00:19:19.440 at the heart of the book in a way, which is that eugenics, which has long been associated with
00:19:24.740 interventionism and like statism of various kinds and often being carried out by people
00:19:30.540 on the left in the early 20th century, actually, becomes more the property of the libertarian
00:19:36.820 right? And the question is actually not easy to answer, which is like, how do you do libertarian
00:19:42.500 eugenics, right? Because normally it would mean like the state needs to do something.
00:19:48.420 But libertarian eugenics, especially in the mind of someone like Charles Murray,
00:19:53.060 comes down to immigration policy. That's the simple answer is, you know, you do last,
00:19:58.660 you let communities take care of themselves and let people get weeded out by social darwinist
00:20:02.860 trends and then you create a new filter for who gets in based on your you know thumbnail back of
00:20:09.920 the envelope idea of racial competence and endowments well it's an interesting thing too
00:20:15.020 that like as you say there are uses of iq that kind of measure the individual and for instance
00:20:20.820 show variability over time etc etc what's really fascinating is that the libertarian iq fixation
00:20:26.840 is all about groups is it true in general that like a lot of this is about like this idea that
00:20:32.600 Not just that IQ measures something, but also that IQ can be aggregated, where I'm always struck by the idea that, like, you then get, like, claims that a certain country has, like, an average IQ of 80.
00:20:44.480 And I'm like, given the description of what that would look like, how they would ever land an airplane seems really difficult.
00:20:51.140 So, like, this cannot possibly be correct.
00:20:53.520 Yeah.
00:20:53.740 It would really strongly suggest that people don't know how to take the test, which then pulls down the number, right?
00:20:59.280 But it's really interesting that they can conceive of themselves as hyper-individual, but people they don't like sort of become lumped together in these massive racial or ethnic groups.
00:21:09.520 Yeah. Yeah. Now, the group difference idea is what then makes it possible to be used as a form of policy creation, right? If you can say, we can choose from the potential immigrant groups based on this and we'll more or less be right, even if we might lose some people on the left-hand side of the tail of the curve, then on average, we will be more right than wrong.
00:21:33.060 So, yeah, the fixation on group differences is definitely, you know, you can't be taken out of its context of affirmative action, opposition, civil rights, backlash.
00:21:43.660 But I think that the other interesting thing, though, about the fixation with IQ, and this is where the book, I think, kind of tees up but doesn't quite take the shot about Silicon Valley libertarianism and the way that this has now become such a fixation for the kind of techno-authoritarian right in your guys' part of the country, is that the latest interest for Silicon Valley people is actually genetic interventions, right?
00:22:13.380 So the idea of gene editing, the idea of prenatal embryo selection for IVF, all really kind of advances in assistive reproductive technologies by which now you can customize, ideally, the child that you're going to have.
00:22:29.900 And this is something where this is someone named Steve Su, HSU, who has a company called, I think, Genomic Choice or Genomic Sequence, which is right in the milieu with people like Balaji Srinivasan and Effective Altruists and so on.
00:22:47.000 So there's an interesting kind of two-step where first you say, you know, intelligence is hardwired and it can't be changed.
00:22:54.440 But you only say that to say that, but a very small elite of us who have access to cutting-edge technologies, however, can also intervene in those hardwired sort of circuitries.
00:23:05.220 So for listeners who are not familiar with Shockley, right, he was a longtime denizen of Silicon Valley, came there in the late 50s, famous for Shockley's semiconductor.
00:23:15.920 and for kind of accidentally creating Silicon Valley
00:23:19.900 by being terrible to his underlings,
00:23:21.660 who then all left and founded first a different company,
00:23:24.780 Fairchild Semiconductors,
00:23:26.020 and then spun out Intel, AMD, and many, many others,
00:23:29.640 but who later then taught at Stanford
00:23:32.040 and was, yeah, a avowed eugenicist,
00:23:35.120 as Malcolm Harris shows in his book, Palo Alto.
00:23:37.780 Won a Nobel Prize.
00:23:39.080 Yeah, prior to that, one should say. 0.96
00:23:41.020 The Nobel Committee did not look at his eugenics.
00:23:44.940 like cool so like it's this stuff has been around for a long long time but i i really think i my
00:23:51.840 read on today's tech moguls and iq and eugenics really is that it for them comes out of this
00:23:58.440 original kind of stressor which is that they were a bunch of white boys who loved computers in a
00:24:04.860 generation full of white boys who loved computers and who gravitated towards any story that would
00:24:11.880 tell them that they were special and i think this particular thing like we're all slaves to our
00:24:16.100 genes except you if you give me money is like absolute catnip for these people because it's
00:24:21.180 saying there are these eternal biological laws which which explain why you rose to the top you
00:24:26.840 didn't get lucky you in fact rose to the top on the merits of your dna or whatever but you can
00:24:33.680 also hack it right the same way peter teal thinks he can hack mimetic desire yeah they're so smart
00:24:39.080 you can actually even fix the immutable.
00:24:41.280 Yeah, exactly.
00:24:42.220 It's immutable for everyone else,
00:24:43.740 but it doesn't apply to you.
00:24:45.380 It's like, if you designed heroin specifically
00:24:48.460 for people with too much money
00:24:51.040 between Atherton and Daily City,
00:24:53.660 you couldn't do a better job. 1.00
00:24:55.740 They're going to fucking love this shit. 1.00
00:24:57.660 Well, one of my favorite little side factoids 1.00
00:25:00.340 is that Curtis Yarvin was the product of this IQ fixation world.
00:25:04.840 CTY.
00:25:05.600 Right, yeah, Center for Talented Youth.
00:25:07.540 And I still think this is a book that needs to be written, like, the history of the gifted child idea from the 90s.
00:25:14.620 It was so huge.
00:25:16.040 I don't know if you guys' kids are school age yet, but it's, like, basically gone now.
00:25:19.740 Actually, the gifted child idea is absent.
00:25:23.360 I mean, there's a lot of attention to kids with special needs, which is great.
00:25:28.080 And somehow the educational philosophy has moved on from the idea that it's a good idea to, like, you know, pluck out children in public school and make them feel special.
00:25:36.640 But I think that produced a childhood experience for a lot of people of the kind you're exactly describing, which has never left them and has left that sense of being specially endowed.
00:25:48.020 But I wanted to just add one more thing, which is I did very early when I was researching this stuff, I did an event at Harvard with Stuart Schrader, who I'd written about Charles Murray's experience as a Peace Corps worker with, and Adam Van Arsdale, who is actually a biological anthropologist.
00:26:05.320 So he knew this story from that side.
00:26:08.020 And a woman who was a white elderly African-American woman professor at Boston College, whose name is escaping me right now, but she was an educational psychologist.
00:26:17.820 And so we were assuming that we would all talk from our own disciplines.
00:26:20.560 And then she would say, like, yeah, this IQ, what a bad idea.
00:26:23.080 We need more resources, da-da.
00:26:25.120 And she was like, oh, no, we use IQ all the time.
00:26:27.140 She's very much like a progressive.
00:26:29.320 She's like, yeah, what we do is we racially weight it.
00:26:32.520 So, we do IQ tests, and then we also do a second questionnaire, which is intended to measure your degree of racialization. So, to what extent were you made to understand yourself as Black, in particular, was the example that she was using?
00:26:50.300 And then we adjust because we know that the experience of racialization in the U.S. is equivalent to a certain loss of IQ.
00:27:00.080 This is how she said they utilize it in their discipline because of what you can assume are lost access to certain kinds of resources, forms of teaching, blah, blah, blah. 0.58
00:27:09.560 So rather than just undermine or deconstruct IQ, they took it and then tried to deploy it for their own purposes.
00:27:16.560 right in the spirit of quantification and educational testing and all that stuff so
00:27:21.940 she said if you want to know who is keeping the myth of IQ alive or the idea of IQ alive it's not
00:27:28.360 people on the right it's ETS it's educational testing services oh yeah because that spirit
00:27:34.240 of quantification is really what makes people so data hungry and that's also what makes them
00:27:39.600 want to know like what's the average IQ of like Gabon so I can then like correlate that with
00:27:44.980 GDP and have some bad quantitative results about the relationship between intelligence and economic
00:27:52.780 development. And one of the things that really shocked me was to find Richard Lynn, who's one
00:27:58.320 of these especially hardcore race scientists that I talk about in the book, at some point created
00:28:03.380 this bad compendium of IQ for the world. And it was on that website, Our World in Data. So you 0.87
00:28:10.960 could access the data set there or look at a color-coded map of the world according to levels
00:28:17.100 of IQ. And I was like, why in the world is this man's shoddy understanding of the world being
00:28:24.180 given this status? I'm interested in part of the story of the rise of IQ racism on the economic
00:28:33.340 right seems to be a little bit about people abandoning the willingness to entertain other
00:28:39.580 causes, right? Like, you know, we talked earlier a little bit about how IQ sort of has the ability
00:28:50.300 to distill this kind of ill-defined set of phenomena and characteristics of human beings
00:28:58.500 into like one number, right, that can be measured and it's quantified and it's up or it's down.
00:29:04.520 And then there's also sort of this similarly simplifying tendency in a lot of like the evolution of the thinkers of people like Charles Murray, who like begin their careers with like maybe more broadly encompassing theories of intelligence or of behavior.
00:29:25.220 and sort of as they go on become more and more committed to this like group level
00:29:32.380 inheritability of a definite trade.
00:29:35.660 Yeah, I know his case for sure, right?
00:29:37.280 I mean, I actually thought that was quite interesting to see how he basically became it
00:29:40.920 started out as a behaviorist and just thought it was all about incentives and pleasure and
00:29:45.740 pain and people do things because they get away with them and are rewarded and so on.
00:29:49.840 And he was really specific about that not being racially subdivided or coded in any way, and that this is simply universal human nature.
00:29:57.600 So that was the kind of analogy of humans to animals of B.F. Skinner variety that didn't try to create a kind of a cod ordinal ranking of how people react to this or that.
00:30:10.680 And he did well with that theory as well, which was used to argue against welfare programs, especially for single mothers in the 1980s.
00:30:19.320 and indeed into Clinton's welfare reform, as Melinda Cooper writes about so well.
00:30:25.720 But then when he found the IQ idea, you know, it was really off to the racism.
00:30:30.900 That's actually still crazy because I don't know if any of you have ever held the bell curve in
00:30:34.880 your hand, but it's like an 800-page book. It's a very long book, very strange as a bestseller.
00:30:41.220 I suppose it was kind of its version of Piketty's like an equality capital in the 21st century
00:30:48.300 in that it was, you know, rarely read, but often bought.
00:30:51.480 I guess that's something we all aspire to as trade authors at the end.
00:30:56.540 But I think it also tapped into something that we haven't mentioned yet,
00:31:01.640 which is the rise of the focus on the information economy.
00:31:05.800 And that's actually a parallel with the Geography of Intellect book, too,
00:31:11.420 because the term, the knowledge economy, was coined in the early 1960s
00:31:16.520 by Fritz Machloop, a Viennese economist who is part of the Mont Pelerin Society and so
00:31:21.060 on, to say that, you know, as economies develop, you move away from manufacturing and industry
00:31:26.500 and new kind of cognitive skills are required, not just, you know, working on the assembly
00:31:32.400 line, but handling, I guess, complex problems of paperwork and things like that.
00:31:37.660 And in the 1990s, there was a big burst of attention to knowledge workers and symbolic
00:31:44.420 analysts and the idea that this was the future of the American economy was mind work and mediated
00:31:51.420 by screens. So, they were well-timed there too, not just in the final nail in the coffin of a
00:31:57.720 great society. Meliorism, not just as a way to kind of excuse the mass incarceration of the
00:32:05.000 decade as being simply, you know, the warehousing of people at the wrong end of the bell curve,
00:32:10.120 But also to say, you know, we're moving into an era where intelligence, in other words, sort of brainpower rather than body power or brawn, will be the average endowment that the employees in the brave new American economy will need to be deploying.
00:32:28.880 So that is really then a direct line to, you know, like coding camps in Appalachia and these ideas of not much has changed in that regard. 0.89
00:32:38.620 And the kind of the move, I can't be racist because I'm saying I may be white, but I say East Asians are even more superior or something like that. It's like that comes straight out of the knowledge economy stuff. 0.97
00:32:49.340 Yeah. And that was very much part of the geopolitical competition of the 90s too, right? This insecurity about Japan outpacing the United States and then 10 years later, 15 years later, China. That was also one of the reasons to orient yourself to IQ.
00:33:05.140 And from what I hear in China, there's a real fascination with IQ as well, and the idea of G as some sort of measurable general intelligence, not just as a kind of self-congratulatory narrative, because in that science, East Asians do indeed regularly come out on top along with Ashkenazi Jews, but also because it's seen as a way to kind of reprogram 21st century economy through allocation of educational funding and things like that.
00:33:33.320 How did the, like, turn towards a knowledge economy and a sense of, you know, okay, we're going to need differently qualified workers with, like, different cognitive capacities and perhaps we can find those workers in different racial groups?
00:33:49.380 Like, how did this thinking about the new economy interact with the explosion of, you know, the fields of genomics and neuroscience in the 80s and 90s?
00:34:00.120 Because it seems like, you know, the tools to measure this thing you think you need are emerging very rapidly right alongside the articulation of the need itself.
00:34:08.240 Yeah, I mean, I think that it wasn't, and we still actually aren't in a place where people thought that they could draw direct conclusions from certain DNA sequences and then certain intellectual endowments or assets.
00:34:22.280 I mean, the interesting thing is to read someone like Nick Bostrom in his book, Super Intelligence, from 2014, that was a very, very big deal in Silicon Valley.
00:34:33.540 In a way, it's what leads to the creation of open AI by Sam Altman and Elon Musk and others, because it was one of the first ones to raise this fear of the runaway AI.
00:34:45.120 the famous example of the paperclip maximizer comes from Nick Bostrom, and that's usually
00:34:51.240 what he's associated with, as well as the simulation theory. But the other thing he's
00:34:55.460 talking about, actually, for a good half of that book is new forms of biological intervention that
00:35:01.180 can be used to increase human intelligence. The book is set up as like, okay, we need to increase
00:35:06.960 human intelligence. Intelligence is the only factor that really separates us from the animals,
00:35:10.960 And so it's the variable we need to home in on.
00:35:14.680 How much can we do with our, like, meat computers, like with our bodies?
00:35:19.300 Okay, and then he spends 75 pages laying out ways of doing biological enhancement, which rely on something that doesn't exist yet, which is like being able to figure out, like, a gene for smartness or finding a correlation between the kind of people who tend to test high on IQ tests and the kind of DNA that they tend to have.
00:35:38.700 But then the back end of the book is, OK, humans are useless. This has all got to go online. We have to do this with supercomputers and neural nets and so on. But the interesting thing that he observes kind of in passing in that book is how quickly certain kinds of assisted reproductive technologies had become available and then had become normal very, very quickly.
00:36:01.920 Right. So the classic example, and this is writing with my friend Ben Tarnoff, a book about Elon Musk right now. And part of the reason I was reading it was because of this fact pointed out by Vivian Wilson herself that she had been sex selected as an embryo for implantation.
00:36:21.360 And that that was, as she thought, pretty horrible because she felt like it treated her like sex like a commodity that, you know, felt like for her father was then like he didn't get what he asked for because he got a girl and he wanted a boy.
00:36:35.920 But it turns out that the ability to do sex selection for embryos was made available almost the same year that she was born.
00:36:45.360 And the kind of things like prenatal screening, which had been non-existent 10 years before, are now almost 100% of people do those things.
00:36:53.980 So I think that what you're describing, the kind of rise of genetic and genomic knowledge and how it intersects with the knowledge work, still remains kind of in a speculative space.
00:37:05.120 Like, it's not that yet that we've heard from, you know, David Sachs, as AI and cryptos are, that he's also going to be intervening in kind of like genetic selection for high IQ babies.
00:37:19.480 But, you know, we're only in year one of the four-year Trump term, so, yeah.
00:37:23.700 No, I mean more as a way of thinking, as a way of thinking about how human traits and behaviors and characteristics were imagined as being biologically embedded, right?
00:37:35.800 This seems like a zeitgeist towards a kind of biological determinism emerging in the early 1990s, like right ahead of Murray's book, right?
00:37:47.460 Yeah, well, the interesting thing is that race in the bell curve is frequently described as being genetic or, you know, the whole crux of the argument is that more of our intelligence is genetically determined than is usually accepted.
00:38:04.500 So it doesn't say it all is. It still gives a lot of space for, you know, nutrition and education and so on, early childhood interventions, but that it's just more than, I think it's 60% or something is the number that they use.
00:38:17.460 But their idea of race, and then they say, and those are, there are large and stubborn
00:38:22.800 differences between racial groups, but their idea of race is not actually genetic, even
00:38:27.580 though they use the word genetic.
00:38:28.560 It's totally based on self-identification on tests and on censuses.
00:38:32.720 So there is no population genetics at work, actually, in the bell curve.
00:38:39.020 It's all just sort of implied.
00:38:41.600 When you get to the more recent Charles Murray stuff, then he's now leaning on the more recent developments in the field.
00:38:50.940 So the examples that he gives is that we will have something like a genetic credit score or genetic audit that he believes will be necessary for all job applications, university applications.
00:39:04.460 and selection for those kind of things will no longer be subjective or based on how well you
00:39:10.600 wrote your college entry exam or essay, how many good anecdotes you roll out, but just the sheer
00:39:15.940 numbers of your likelihood to succeed based on this genetic audit. The other idea that's quite
00:39:21.960 exciting for people like that is the idea of epigenetics and the idea that you can, through
00:39:28.340 these interventions also then produce inheritable adaptations in the genome. So to be honest,
00:39:36.080 I'm actually, we've been talking about this as kind of a niche interest amongst, you know,
00:39:40.020 the hyperactive EC class and posters and stuff, but I'm almost waiting for it to become a larger
00:39:46.980 mass phenomenon. I mean, I do think that the time is ripe for, as we saw with RFK,
00:39:53.580 like this sort of counter science becoming something that really mobilized people.
00:40:00.320 And so it wouldn't surprise me if they're especially maybe even amongst, you know,
00:40:05.520 parents of the upper middle class who are really keen on having their children succeed in tightening job markets,
00:40:12.160 that this kind of boutique services and a kind of worldview based around intelligence and genetics
00:40:18.540 is something that, you know, I would bet on
00:40:22.220 if I had a betting market for future ideologies,
00:40:25.660 which maybe we do have.
00:40:26.680 I just don't know about.
00:40:27.340 All those former gifted kids from the 90s
00:40:30.200 who are now parents trying to consume the same product
00:40:33.860 that was sold to their parents.
00:40:35.840 I have to say, it strikes me as so interesting
00:40:38.140 that you were mentioning 23andMe.
00:40:40.800 That's obviously done a lot to kind of, as you say,
00:40:43.900 reintroduce genetics and genomics as a way of thinking about yourself
00:40:49.420 into pretty broad swaths of American discourse.
00:40:53.300 My understanding of that is it's ultimately just statistical analysis.
00:40:58.120 They look at your self-identification and then write back
00:41:01.560 what other people with those genes said their heritage was.
00:41:05.860 The reason I bring that up is because that's ultimately what an LLM is, isn't it?
00:41:09.460 We look at probabilistic language performance like,
00:41:12.680 oh, it's talking to me.
00:41:14.480 It's like, well, no, it's not.
00:41:15.520 It is producing a very realistic simulation of it.
00:41:18.640 And this is the same thing for genomics.
00:41:20.880 And it does seem to me really interesting
00:41:22.180 that there is something here about,
00:41:24.520 as you say, an upper middle class and up elite
00:41:27.280 kind of naturalizing the kind of probabilistic outcomes
00:41:31.960 that come with an increasingly unequal society, right?
00:41:35.560 And to kind of slap a genetic label on that.
00:41:38.480 And I think you're right that like,
00:41:40.200 if you think of it that way,
00:41:41.380 it's impossible to imagine that this stays the preoccupation of a bunch of freaks in Silicon
00:41:47.200 Valley and a bunch of VCs on Twitter this is the fear of falling except you know with a double
00:41:53.280 helix yeah no no but you're right that it is ultimately just probabilistic it's not that
00:42:00.200 you know you send in that DNA sample and they actually sequence out your DNA all they do is
00:42:05.320 sort of say okay well how is this similar to other people's who have also sent in their spit
00:42:10.680 or they're snot or whatever.
00:42:12.180 The interesting thing, though, about 23andMe, actually,
00:42:14.600 is it's basically gone bankrupt, right?
00:42:16.880 It turns out that the thing that people assumed
00:42:20.360 would be infinitely lucrative,
00:42:22.240 which is the code of human life
00:42:24.280 and people's, the essence of their being and identity,
00:42:29.720 doesn't itself produce a marketable object
00:42:33.820 except for other people's curiosity.
00:42:37.040 And then when the market has been saturated
00:42:38.560 and everyone either has a family member who they can get that information from or has done it
00:42:43.280 themselves, then it dries up. It's not actually like a tradable or infinitely like an accumulation
00:42:49.400 model in and of itself, which that gives the lie to a lot of the 90s discourse about genetics,
00:42:55.700 which was like, we are opening up here. There was a kind of belief that it was like a new frontier
00:43:02.280 of endless kind of primitive accumulation. And like the body would now be a place where you
00:43:06.620 could just endlessly kind of churn out new markets and things.
00:43:11.140 But no, it turns out that, you know, it has a kind of beautiful kind of non-commodified
00:43:17.000 quality to it.
00:43:18.980 Yeah.
00:43:19.340 Best thing that happens is that there's a knock on the door and the FBI is like, you
00:43:22.340 know, there's a serial killer in your family and we're going to find him.
00:43:24.720 Like, ah, brother.
00:43:26.500 Yeah. 0.95
00:43:26.900 Also, you're part Armenian.
00:43:29.780 Not as Neanderthal as your mom always told you. 0.56
00:43:31.880 Yeah, exactly.
00:43:32.420 Yeah.
00:43:32.700 Exactly.
00:43:33.420 You're not 117th Neanderthal and also the highway strangler from the 70s as your uncle.
00:43:41.220 Was there never a podcast of like bad news from 23andMe?
00:43:46.020 Because it always struck me as like the best idea. 0.99
00:43:49.100 You know, I feel like with 23andMe, the only two options are either like, you know, that is not your real father or yeah, you're mostly Irish. 0.98
00:43:58.900 You know, it's like either like life alteringly disturbing or kind of entirely banal, which, yeah, I can see what you're saying, Quinn, about the kind of low ceiling of the actual information on offer. 0.90
00:44:11.820 But that gets at something, I mean, I'm sorry, I always bring this back to 19th century phrenology and physiognomy.
00:44:18.940 There's something interesting about that mode of explanation, but it's above all, there's something interesting about it as a mode of questioning.
00:44:25.320 There's a kind of person and a kind of milieu that really seems to depend on being able to ask questions about itself in this biologistic way.
00:44:35.860 And sort of to justify and locate itself in the social fabric by means of these kinds of questions.
00:44:43.440 So it's really much more about cultural habits, isn't it?
00:44:45.920 And I think it's as that that I fully agree with you.
00:44:48.820 It's going to trickle down to very, I think we're going to get two kinds of people.
00:44:51.820 People who under no circumstances have any interest in this and people for whom, you know, like having gone to CTY in the 90s is like the one thing they'll mention.
00:45:02.360 I went to high school with a kid who went to CTY and he would not shut up about it.
00:45:06.180 It was my first year in the United States. 0.99
00:45:07.940 What the fuck is this thing and why won't this guy shut up about it? 0.99
00:45:10.500 What is CTY? 1.00
00:45:11.540 Your first word in English.
00:45:12.740 Yeah, Pierre Rosenvallon actually has a really interesting couple pages in his book, A Society of Equals, about phrenology being a specifically American fascination.
00:45:23.580 He said it's not a coincidence that it was America where this became popular.
00:45:28.520 And his argument is a bit counterintuitive, but interesting, because the whole argument of the book is basically like America was a much more equal society than France or Germany or the UK of the time.
00:45:38.580 And so to appeal to like the bumps of the head was a way to actually like give some structure to what otherwise could seem like almost random, like who gets to succeed and who doesn't. If you could say like, no, no, no, it's grounded in my head shape, which is a window to the soul, then you could make sense of what could seem like the chaotic ups and downs of actually quite a wide open economic system.
00:46:05.060 Yeah, I mean, it's really noticeable that a lot of Silicon Valley today is shaped by the kids of the professional managerial class whose main experience was massification, right?
00:46:17.340 That like the middle class was swelling and the idea like I must be different from others and equality and sameness basically as something offensive, something scary, something threatening is clearly part of their very basic psychic structure.
00:46:33.160 And the idea that, like, something needs to tell you that within that ambit, there are, for those who know how to look, salient and important differences is extremely important and is culturally important.
00:46:45.360 Yeah. And even though it's kind of a tired callback at this point, you know, the Michael Young book, The Rise of the Meritocracy, is still so much fun to look back at. And there's a reason why I kind of lean on it in the beginning and the end of that chapter we're talking about. Because among other things, there's a computer called Pamela, which has an IQ of 100 that everyone is measured against, which is just a wonderful detail.
00:47:09.140 But then the way that the system is brought down is a revolution of women on May Day who reject the idea that there should be a kind of scientific version of natural order determined by intelligence that says who's in power and who's not.
00:47:25.720 And that really can't help but think about Silicon Valley and the sort of the fear of the revolting worker that is at the heart of something like the new Alexander Karp book, The Technological Republic, or Marc Andreessen's fear about the woke, you know, Skittles-haired, some term I heard recently mentioned, Skittles-haired, like Twitter employees, you know, daring to speak back to their bosses.
00:47:50.580 I mean, it's really just reenacting, like, the final scene of the rise of the meritocracy.
00:47:55.640 So, it makes sense why they feel like, no, like, reinstate Pamela, you know, keep the workers and the women down and make sure that IQ remains like the yardstick of who is in power.
00:48:08.120 Quince Labodian, thank you so much for joining us.
00:48:11.180 Really, really grateful for your time that you came to us standing in your closet and made this happen.
00:48:18.120 Quite warm.
00:48:18.580 Yeah, no, I know that it's brutal on the East Coast.
00:48:22.400 I have to go there in a couple of weeks and I'm like kind of not looking forward to it.
00:48:26.180 We've had a moment of respite, but tomorrow, yeah, the hammer comes back down.
00:48:30.300 I hope you get a popsicle and a nap, you know?
00:48:34.600 In Bed With The Right is made possible by hundreds of listeners who support us via Patreon.com.
00:48:39.180 Our episodes are produced and edited by Mark Yoshizumi and Katie Lau.
00:48:42.680 Our title music is by Katie Lau.
00:48:48.580 Thank you.