Making Sense - Sam Harris - April 23, 2017


#73 — Forbidden Knowledge


Episode Stats

Length

50 minutes

Words per Minute

153.5804

Word Count

7,809

Sentence Count

262

Misogynist Sentences

2

Hate Speech Sentences

7


Summary

Charles Murray is a political scientist and an author. He is most famous for having co-authored the controversial book, The Bell Curve, along with the late Richard Hernstein. This book looks at the growing role that intelligence plays in modern societies, and the authors worry about a kind of cognitive partitioning of our society into separate classes. It's a theme that he has returned to in his other work, and in a more recent book, Coming Apart, which we also discuss. And yet, just last month, Murray was shouted down by a mob at Middlebury College, a mob that actually turned violent and sent the faculty member who was chaperoning him to the hospital. What happened? And why is this happening on college campuses? In this episode of the Making Sense Podcast by Sam Harris, we take a deep dive into what happened, and what happened to him, in response to the recent attacks on his speech at the University of California-Berkeley, and why he deserves to be taken to task for being a fascist, white supremacist, eugenicist, Nazi, and egotistical ideologue, and a homophobe, no matter what you think of his views on race and intelligence. Sam explains why this is a problem, and how it s a symptom of an anti-free speech hysteria that s spreading across American universities and colleges across the country, and on social media, and across the political spectrum. And why we should all pay attention to it, because it s not just about IQ, it s about race and wealth, but about race, and its role in modernity and culture. and culture and its relation to race and identity in modern society it s role in the 21st century the role of race and culture, and as a form of identity in our society in the modern world in a world that s history, and the role in shaping our society, in order to be a better world a better, better, smarter, better and better, and better better, more more . not just better, but more, more, and more, , and more, better , better, better and , less, more , more . in etc, less so much, , more and so on and so much more , etc


Transcript

00:00:00.000 Welcome to the Making Sense Podcast.
00:00:08.820 This is Sam Harris.
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00:00:46.540 Okay, strap in.
00:00:50.240 Charles Murray is a political scientist and an author.
00:00:53.260 He is most famous for having co-authored the book The Bell Curve, along with the late
00:00:59.800 Richard Hernstein.
00:01:01.680 Now, to say that this book was controversial is really beyond an understatement.
00:01:07.640 It is probably fair to say this is the most controversial book in the last 50 years.
00:01:13.880 Now, the book looks at the growing role that intelligence plays in modern societies, and
00:01:20.160 the authors worry about a kind of cognitive partitioning of our society into separate classes.
00:01:25.980 I mean, there was a time when being a few standard deviations above the mean in intelligence didn't
00:01:31.320 get you very much when you're just plowing the field alongside your neighbors.
00:01:36.620 But now you can start a software company or a hedge fund.
00:01:40.680 Okay, and this leads to astonishing levels of wealth inequality and cultural isolation.
00:01:45.500 This is a theme that Murray has returned to in his other work, and in a more recent book,
00:01:50.760 Coming Apart, which we also discuss.
00:01:54.420 Now, unfortunately for Murray, what we have here is a set of nested taboos.
00:02:02.100 Human intelligence itself is a taboo topic.
00:02:05.480 People don't want to hear that intelligence is a real thing, and that some people have more
00:02:09.180 of it than others.
00:02:09.940 They don't want to hear that IQ tests really measure it.
00:02:13.580 They don't want to hear that differences in IQ matter, because they're highly predictive
00:02:19.320 of differential success in life, and not just for things like educational attainment and
00:02:24.640 wealth, but for things like out-of-wedlock birth and mortality.
00:02:29.440 People don't want to hear that a person's intelligence is in large measure due to his or her genes, and that
00:02:35.200 there seems to be very little we can do environmentally to increase a person's intelligence.
00:02:39.940 Even in childhood.
00:02:41.800 It's not that the environment doesn't matter, but genes appear to be 50 to 80 percent of
00:02:46.880 the story.
00:02:48.200 People don't want to hear this, and they certainly don't want to hear that average IQ differs
00:02:53.580 across races and ethnic groups.
00:02:57.180 Now, for better or worse, these are all facts.
00:03:01.380 In fact, there is almost nothing in psychological science for which there is more evidence than
00:03:09.080 these claims.
00:03:10.320 About IQ, about the validity of testing for it, about its importance in the real world,
00:03:18.160 about its heritability, and about its differential expression in different populations.
00:03:23.520 Again, this is what a dispassionate look at decades of research suggests.
00:03:31.480 Unfortunately, the controversy over the bell curve did not result from legitimate good-faith
00:03:37.820 criticisms of its major claims.
00:03:39.860 Rather, it was the product of a politically correct moral panic that totally engulfed Murray's
00:03:47.060 career, and has yet to release him.
00:03:50.520 His co-author, Richard Hernstein, died just before the book was published.
00:03:54.200 So Murray weathered the storm alone.
00:03:57.140 And it rages to this day.
00:03:59.780 The book was published over 20 years ago.
00:04:01.460 And yet, just last month, Murray was shouted down by a mob at Middlebury College.
00:04:07.760 A mob that actually turned violent, and sent the faculty member who was chaperoning him
00:04:12.480 to the hospital.
00:04:14.120 And it's that most recent attack, which is part of an anti-free speech hysteria that is
00:04:19.980 spreading on college campuses, that caused me to finally pay attention.
00:04:24.460 I should say that some researchers just performed a rather delightful experiment, which I just wrote
00:04:29.900 about in the New York Times, they took the text of Murray's speech, the speech he attempted
00:04:34.900 to give at Middlebury, and sent it to 70 or so professors to have them rate it for political
00:04:41.440 content on a scale of 1 to 9, liberal to conservative, with 5 being precisely in the middle.
00:04:47.500 And the professors weren't told who the speaker was.
00:04:50.560 And it got a rating of 5.05.
00:04:53.920 Okay, right down the middle.
00:04:55.040 When they sent it to another group of professors, telling them the speaker was Murray, the rating
00:05:01.140 shifted a little, but not by much.
00:05:03.380 The speech was now rated 5.77, just right of center.
00:05:08.360 The man is not Heinrich Himmler.
00:05:11.740 But because I had assumed, as many of you probably have, who heard about the bell curve
00:05:17.700 controversy, that when seemingly respectable people are calling someone a Nazi, and a fascist,
00:05:26.600 and a white supremacist, and a eugenicist, well then there must be something wrong with
00:05:32.400 him, right?
00:05:33.220 He must be getting what he deserves on some level.
00:05:36.740 But what I found when I began reading Murray's work was a deeply rational and careful scholar
00:05:43.400 who was quite obviously motivated by an ethical concern about inequality in our society.
00:05:49.840 This is not a person who was in favor of discrimination.
00:05:53.960 Whatever the difference in average IQ is across groups, you know nothing about a person's
00:05:59.600 intelligence on the basis of his or her skin color.
00:06:02.540 That is just a fact.
00:06:04.080 There is much more variance among individuals in any racial group than there is between groups.
00:06:10.260 So, besides being unethical and politically imprudent, it is totally irrational to treat
00:06:17.720 people as anything other than individuals.
00:06:20.540 Murray and Herrnstein were absolutely clear about this in the bell curve.
00:06:25.420 So, what happened to Murray, as far as I can tell, has had nothing to do with errors of
00:06:32.040 scholarship, of which undoubtedly there must be some, or for the way he's conducted himself
00:06:38.080 since, or for his personal motives for discussing these topics in the first place.
00:06:43.420 Rather, his scapegoating has been entirely the result of his having merely discussed differences
00:06:49.480 in human intelligence at all.
00:06:51.660 Now, it's certainly true that the definitions of both intelligence and race are open for debate,
00:06:58.160 to some degree.
00:06:59.380 And there can be cultural influences in the concepts we use that we don't totally understand.
00:07:04.580 But the efforts to invalidate the very notions of general intelligence and race have been
00:07:10.580 wholly unconvincing, from a psychometric and biological point of view, and are obviously
00:07:16.620 motivated by a political discomfort in talking about these things.
00:07:20.800 And I understand and share that discomfort, but any fair reading of Murray would acknowledge
00:07:26.140 that he understands and shares it too.
00:07:28.420 And one rarely encounters a fair reading of Murray.
00:07:33.260 Whenever you see discussions of the bell curve, you can be sure that their authors felt themselves
00:07:38.720 under immense pressure to dismiss it.
00:07:42.040 And they wind up ignoring much of what Murray and Herrnstein actually wrote.
00:07:46.760 And they argue in very sloppy ways against the concept of general intelligence.
00:07:52.380 And this sloppiness still has the effect of being defamatory.
00:07:56.680 And I'll give you a sense of how insidious these attacks upon a person's reputation become.
00:08:03.260 There are all the consequences that Murray knows about, obviously.
00:08:06.860 The death threats, the hecklers, the disinvitations from speaking events.
00:08:12.480 But then there are the things he can never know about.
00:08:15.620 For instance, a couple of years ago, I was invited to write an essay for an academic journal.
00:08:20.400 And I saw that one of the other contributors was Charles Murray.
00:08:26.140 And at that point, I hadn't read his work.
00:08:28.700 And I only knew about him, or thought I knew about him, by reputation.
00:08:34.340 And my first thought was, why do I need to be in a journal alongside Charles Murray?
00:08:40.840 I just had Ben Affleck call me a racist on television for my criticism of Islam.
00:08:45.860 I was dealing with that blowback.
00:08:48.660 And the last thing I needed, I thought, was to be publicly associated with Charles Murray.
00:08:55.840 Now, Murray can have no idea how many times people have shunned him in that way.
00:09:01.220 Nor do I have any idea how much that's happened to me for the lies that have been spread about my work.
00:09:05.900 Now, I'm sure there are many things that Murray and I disagree about that we did not explore in this podcast.
00:09:13.440 He's far more convinced about the social benefits of religion than I am, for instance.
00:09:18.520 But I had another agenda.
00:09:21.060 At one point, I think I likened our conversation to visiting a nuclear power plant after an accident to assess the damage.
00:09:27.340 And it did feel like this.
00:09:28.800 Honestly, it felt like the intellectual equivalent of going into Fukushima with a Geiger counter to see just how hot things are.
00:09:37.980 Not something I was ever planning to do.
00:09:40.380 And I do remain skeptical about the wisdom of looking for cross-cultural or interracial differences in things like intelligence.
00:09:48.100 I'm not sure what it gets you, apart from a lot of pain.
00:09:51.000 So, many of the topics I discussed in the podcast with Murray are not topics I would ordinarily think about or recommend that you think about.
00:09:59.160 But the purpose of the podcast was to set the record straight.
00:10:03.160 Because I find the dishonesty and hypocrisy and moral cowardice of Murray's critics shocking.
00:10:11.240 And the fact that I was taken in by this defamation of him and effectively became part of a silent mob that was just watching what amounted to a modern witch-burning, that was intolerable to me.
00:10:26.520 So, it is with real pleasure and some trepidation that I bring you a very controversial conversation on points about which there is virtually no scientific controversy.
00:10:41.240 And it's with a man who could not have been a more genial and well-spoken guest.
00:10:47.280 Meet Charles Murray.
00:10:53.760 I am here with Charles Murray.
00:10:55.640 Charles, thanks for coming on the podcast.
00:10:58.000 It's my pleasure.
00:10:59.160 So, I first heard of you, as many people did, when you published your book, The Bell Curve, in 1994, I believe.
00:11:06.980 And this is along with your co-author, Richard Hernstein.
00:11:10.060 And this was, without question, one of the most controversial books in living memory.
00:11:16.760 It focused on IQ and the differences in mean IQ between groups of people.
00:11:22.060 And it was just treated like, let's say, radioactive communication.
00:11:26.460 And like most people who first heard of you at that point, I didn't actually read the book.
00:11:32.120 And I just assumed that where there was smoke, certainly that much smoke, there had to be at least some fire.
00:11:39.860 And I just assumed that you had said something in those pages that was so intellectually or morally indefensible that that explained the backlash against you.
00:11:51.760 And this is a backlash that continues to this day.
00:11:54.080 And we'll talk about that.
00:11:55.220 But I've since, in the intervening years, ventured into my own controversial areas as a speaker and writer and experienced many hysterical attacks against me and my work.
00:12:07.600 And so I started thinking about your case a little, again, without ever having read you.
00:12:12.560 And I began to suspect that you were one of the canaries in the coal mine that I never recognized as such.
00:12:18.940 And seeing your recent treatment at Middlebury, which many of our listeners will have heard about, where you were prevented from speaking and your host was physically attacked.
00:12:28.860 I now believe that you are perhaps the intellectual who was treated most unfairly in my lifetime.
00:12:37.580 And it's just an amazing thing to be so slow to realize that.
00:12:43.720 And at first, I'd just like to apologize to you for having been so lazy and having been taken in to the degree that I was by the rumors and lies that have surrounded your work for the last 20 years.
00:12:55.940 And so I just want to thank you doubly for coming on the podcast to talk about these things.
00:13:00.680 Well, that's very kind of you to say, but I'm curious.
00:13:02.460 Have you looked at the bell curve?
00:13:04.600 Yes, yes.
00:13:05.420 So now I'm deep into your work.
00:13:08.040 So I know what you wrote there, and I know what I think about it, and I'm eager to talk about it.
00:13:13.720 I need you.
00:13:14.940 There's an aphorism from Nietzsche that I think will apply to this conversation, or at least I fear it will apply.
00:13:21.440 And it's something like, when you force someone to change his opinion about you, he holds the effort this requires very much against you.
00:13:29.820 And I think many of our listeners will be ill-disposed to change their opinion about you and your work.
00:13:36.880 But I'm determined to ram past that resistance insofar as that's possible.
00:13:41.440 Well, could I just make a request of your listeners who really do resist that?
00:13:47.080 I don't ask you to read the whole book, The Bell Curve, but it's not that much money on Kindle.
00:13:52.500 And there's got to be somewhere on the Internet.
00:13:54.780 There's got to be chunks of the text.
00:13:57.780 Just read a few pages of the thing.
00:13:59.820 This is not a hysterical—this is not an Ann Coulter book.
00:14:04.820 It's not a Milo book.
00:14:07.540 It's—of all the charges about the book that drive me nuts the most, I think perhaps it was Stephen Jay Gould, who probably a lot of your listeners are too young to remember, but who wrote the review of it in The New Yorker.
00:14:21.600 And Gould himself was the author of a book called The Mismeasure of Man, which many people see as the canonical refutation of IQ as being an important concept.
00:14:31.960 But anyway, in the review, Gould was referring to the regression equations.
00:14:36.580 Well, as it happened with the division of work, I did all the regression analyses.
00:14:40.620 And I was reading the review, and Gould made a little parenthetical remark, I bet they only did them once.
00:14:48.900 And I threw the book against the wall.
00:14:50.260 I literally—my wife was in the room, and I took it, and I just threw it.
00:14:55.140 Because thinking of the hundreds of hours that I spent on that, and not only that, when we had all of the analyses done—
00:15:02.380 I'm afraid, Sam, a lot of this podcast is going to sound very self-referential and pompous.
00:15:08.560 I don't know how to get around it.
00:15:10.100 But this is the truth.
00:15:11.260 When we got done with all of those analyses, I went back, and I recreated them from scratch.
00:15:17.760 I mean, recreating the variables again, doing the whole thing, and so that I could just get rid of any dangers of a screw-up.
00:15:29.380 I had to make the identical screw-up twice, in other words, for there still to be a mistake.
00:15:33.160 Anyway, the book, I would argue, all you need to do is read in it for a while, and you will realize the things you have heard about are simply wrong.
00:15:42.560 Yeah, well, I want to get to the most controversial points you make in the book, and what you actually say about them,
00:15:48.740 and what kind of public policy recommendations you make on their basis,
00:15:52.120 is because it is the opposite of a white supremacist, neo-Nazi book, and you have been called both of those things.
00:16:02.020 Yeah.
00:16:02.340 So let's get into it.
00:16:03.280 What was your basic thesis in The Bell Curve?
00:16:06.480 The thesis of The Bell Curve actually is very similar to the thesis of Coming Apart, which hardly anybody noticed.
00:16:13.120 And that is, at the time we did it, we were saying we are looking at a future which is being shaped by the radically increased value of IQ in the marketplace over the last century,
00:16:28.440 and has also been affected by the increasing effectiveness of the higher educational system in getting intellectual talent wherever it resides and pulling it into elite universities.
00:16:39.900 And the combination of these two things is creating a cognitive elite that is increasingly powerful, increasingly affluent, has its own culture,
00:16:49.380 and is increasingly isolated from and ignorant of the rest of society.
00:16:54.760 That essentially was the, well, that's the thesis of that book.
00:16:59.300 That's the reason the subtitle is Intelligence and Class Structure in American Life.
00:17:03.660 And as I said, Coming Apart, the first few chapters have large chunks of The Bell Curve imported into it,
00:17:12.340 because in Coming Apart, I was essentially saying it's no longer something that we're in danger of.
00:17:18.340 It's something that has happened.
00:17:20.160 So that was the thesis.
00:17:21.700 And we spend the first eight chapters, well, no, first we spend three or four chapters talking about the nature of the cognitive elite and how it came about.
00:17:33.920 Then we take eight chapters, and we have the relationship of IQ to a variety of social outcomes, unemployment, poverty, educational attainments, crime.
00:17:47.840 And the relative roles of IQ and the basic socioeconomic variables in explaining the dependent variable.
00:17:58.340 And for doing that, Dick, Herrnstein, and I restricted ourselves to a sample of non-Latino whites.
00:18:05.900 And the reason we did that was we said, we know that the whole issue of IQ and race is very heated, and we're going to simplify things.
00:18:19.780 We are saying this relationship of IQ to important social and economic outcomes exists in a population of non-Latino whites.
00:18:28.100 And then after that, we can go to the issue of, well, does it apply to the nation as a whole?
00:18:35.800 And that's the point at which we got into race.
00:18:39.440 Right. So the most controversial area of the book is in your discussion around the mean difference across races in population IQ.
00:18:52.520 Right.
00:18:52.900 Well, it's important to point out here that even the topic of IQ, the topic of intelligence, is taboo.
00:19:00.340 I mean, people get uncomfortable in hearing that intelligence is something that even differs among people.
00:19:08.420 Then when you add the fact that this difference is heritable and that it matters over the course of a person's life,
00:19:15.680 that already is something that makes people very uncomfortable.
00:19:18.960 And I mean, already you seem to be opening the door to eugenics and other scary ethical and political ways of thinking.
00:19:29.600 And then when you add to that the fact that there are detectable differences in mean IQ between races,
00:19:39.440 then just everything goes completely haywire for people.
00:19:42.900 So I want to move through these concepts and claims somewhat systematically.
00:19:48.240 But I guess before we do that, is there anything that has happened in the intervening years,
00:19:53.560 either in your own research or in the research generally,
00:19:56.800 that has changed the picture significantly from when you wrote The Bell Curve?
00:20:02.080 Have any of your important claims changed?
00:20:04.600 There have been many of our claims have had a lot of additional stuff.
00:20:11.940 For example, take something like G, the general factor of intelligence.
00:20:16.400 Right, which is what IQ tests measure.
00:20:18.860 Exactly.
00:20:19.720 And this is something which, going back to Stephen Jay Gould again,
00:20:24.120 he said, no, it all depends on how you do the factor analysis.
00:20:27.040 You can either make G appear in your analysis or go away.
00:20:30.860 It's a statistical artifact.
00:20:31.880 Well, even at the time we wrote, in 1994,
00:20:37.240 an awful lot of the things that Steve Gould claimed back in 1980-81,
00:20:43.980 I mean, they were just, no psychometricians took them seriously.
00:20:47.840 The work that had been done on it was very solid.
00:20:51.280 The reality of G was already understood.
00:20:53.500 But since then, it turns out that there are a whole variety of aspects of brain functioning,
00:21:02.780 the quantity of gray matter versus white matter,
00:21:05.720 all sorts of things which they're linked specifically to G,
00:21:11.100 not just IQ scores in general,
00:21:13.860 but they are most tightly linked to this general factor for intelligence.
00:21:17.540 So if you had to say one thing that has had just an awful lot of additional verification
00:21:24.600 and elaboration, it's the reality of G.
00:21:28.520 And of course, Sam, we are also within a matter of years,
00:21:34.320 I don't think that many years,
00:21:37.140 before we will understand the functioning of intelligence down at the level of alleles
00:21:41.400 and single nucleotide polymorphisms.
00:21:44.940 We are already making a lot of progress on that.
00:21:48.420 As of, to give you an idea of how fast the progress is,
00:21:52.260 in 2013, I was doing a paper,
00:21:55.780 and so I set out to see,
00:21:57.460 are there any SNPs, single nucleotide polymorphisms?
00:22:01.540 They're the sites in the genome that can take more than one form,
00:22:05.460 and they account for all of human variation.
00:22:07.200 And I said, well, have the geneticists found any of these
00:22:10.680 that have a direct relationship to social behavior or mental functioning or whatever?
00:22:16.300 And I came up with, I think, seven or eight.
00:22:19.040 And I looked again a year and a half ago,
00:22:22.240 and it was in the low dozens,
00:22:24.020 and now it's in the hundreds.
00:22:26.100 And in a few years, it's going to be in the thousands.
00:22:29.500 And so we will understand IQ,
00:22:33.600 general intelligence,
00:22:34.580 genetically, I think.
00:22:37.920 Most of the picture will have been filled in by 2025.
00:22:41.180 There'll still be blanks,
00:22:42.560 but we'll know basically what's going on.
00:22:45.660 And just to finish up the other,
00:22:47.260 was there anything that I changed my mind on
00:22:49.200 after the Bell Curve came out?
00:22:52.580 And the answer is no.
00:22:56.320 There's been some interesting tidbits
00:22:58.960 that I've been fascinated by.
00:23:01.300 But the science in the Bell Curve
00:23:03.720 was extremely conservative.
00:23:06.760 I don't mean that politically.
00:23:08.000 Dick and I, I mean, we weren't stupid.
00:23:10.700 We knew that we were dealing with a complicated
00:23:13.160 and controversial topic.
00:23:15.440 And so we stuck very close to the scientific mainstream
00:23:19.940 so that after the book caused such a furor,
00:23:24.160 and this is easy enough for your listeners
00:23:26.160 to Google for themselves,
00:23:28.580 but they can just Google
00:23:30.180 knowns and unknowns IQ,
00:23:33.720 and that'll pop up.
00:23:35.280 The American Psychological Association
00:23:37.760 established a task force
00:23:39.300 in the year after the Bell Curve.
00:23:40.940 And the task force consisted of 11
00:23:44.120 of the most eminent experts
00:23:47.520 in cognitive functioning in the country,
00:23:49.520 including people of various ideological perspectives.
00:23:52.840 Because believe me,
00:23:54.660 well, if you've been in academia,
00:23:56.720 you know there's as much ideology
00:23:58.820 within each discipline as there is in politics.
00:24:02.700 But anyway, the task force came up
00:24:05.500 with a set of knowns and unknowns,
00:24:07.980 and it tracked just about perfectly
00:24:12.080 with the statements in the Bell Curve.
00:24:15.420 So it wasn't the Dick and I were brilliant.
00:24:20.740 It's the Dick and I were very, very cautious.
00:24:23.640 So no, nothing has been overturned
00:24:25.440 since the Bell Curve came out.
00:24:26.440 And there's been nothing overturned
00:24:29.120 in the area of racial difference in mean IQ?
00:24:33.520 Oh, before I answer that question,
00:24:35.100 I just thought of the sweetest vindication
00:24:38.400 of the Bell Curve,
00:24:40.140 so I better mention that.
00:24:41.560 There was a whole cottage industry of books
00:24:43.700 in the year after the Bell Curve came out
00:24:47.320 attacking the book.
00:24:49.700 This is the pseudoscience,
00:24:51.440 and these guys don't know what they're doing.
00:24:53.740 And one of the main themes in this
00:24:55.560 was that when we controlled
00:24:57.780 for socioeconomic status,
00:25:00.160 and then pointed out that in many cases,
00:25:02.120 the role of IQ was far greater
00:25:05.780 than the role of socioeconomic status,
00:25:08.100 that Dick and I had not simply,
00:25:09.840 we hadn't put enough independent variables
00:25:12.660 into the equation.
00:25:13.820 So we had occupation,
00:25:16.740 we had income,
00:25:18.600 and we had educational attainment,
00:25:20.620 which to tell you the truth,
00:25:22.160 are basically the three components
00:25:24.100 that social sciences had been satisfied with
00:25:26.780 in measuring socioeconomic status
00:25:28.740 until the Bell Curve came along,
00:25:30.280 but we hadn't put in enough.
00:25:31.960 So they were throwing in everything
00:25:33.220 but the kitchen sink,
00:25:34.500 a lot of which were things
00:25:36.880 that were very closely related
00:25:38.560 to parental IQ.
00:25:39.940 So a lot of the criticisms
00:25:41.180 of the Bell Curve said,
00:25:42.780 oh, if we add, let's say,
00:25:44.340 the number of books in the house,
00:25:46.660 then you can cut down a little bit
00:25:48.140 on the role of IQ.
00:25:49.780 Well, now, what do you suppose
00:25:51.880 the relationship of number of books
00:25:54.180 in the house is to parental IQ?
00:25:57.620 And so on and so forth.
00:25:58.820 Anyway, the sweet, sweet vindication
00:26:01.060 was when Christopher Winship at Harvard
00:26:07.340 and I'm blocking on the other guy's name.
00:26:10.980 I'm sorry.
00:26:11.900 Anyway, they did an analysis
00:26:13.580 that Dick and I should have thought of
00:26:16.000 because our major database
00:26:17.800 was the National Longitudinal Survey of Youth.
00:26:21.320 And this is on me, by the way,
00:26:22.660 because I was taking the lead
00:26:24.080 on the quantitative analyses.
00:26:25.280 I knew that there were siblings
00:26:27.520 in the NLSY database,
00:26:30.520 but it didn't cross my mind
00:26:32.440 to do a fixed effects analysis
00:26:34.900 where, in effect,
00:26:36.120 you were analyzing the outcomes for siblings.
00:26:39.280 And if you do that,
00:26:40.600 you can control for everything
00:26:42.220 in the shared home environment,
00:26:44.880 just about everything.
00:26:45.800 So you can do much more
00:26:46.980 than add in one or two more
00:26:49.000 independent variables.
00:26:49.860 It's a really elegant control.
00:26:53.100 And the analysis was done
00:26:56.160 and the authors were not happy about it.
00:27:01.480 But listen, I don't want to diss them
00:27:04.420 because they were honest.
00:27:06.300 And they did point out that, in fact,
00:27:08.820 that when you use the sibling analysis,
00:27:11.180 that the independent rule of IQ
00:27:12.580 that Dick and I claimed
00:27:13.640 was not attenuated more than fractionally.
00:27:16.800 And, in fact, they said explicitly
00:27:18.940 they were surprised
00:27:19.880 that it had not been.
00:27:21.700 And, in effect,
00:27:22.800 all of our analyses
00:27:23.840 about the independent effect
00:27:26.520 of IQ on social outcomes
00:27:28.040 had a very powerful vindication.
00:27:30.720 So I had to get that in.
00:27:32.140 All right, now you asked
00:27:33.160 about racial differences.
00:27:35.540 Well, Dick and I
00:27:36.680 considered the possibility
00:27:38.280 of just leaving race out.
00:27:41.780 And we decided that
00:27:43.260 it was just the elephant in the corner
00:27:44.560 and we couldn't do it.
00:27:46.060 But we also could not
00:27:47.660 talk about
00:27:49.700 the national implications
00:27:51.960 of our analysis
00:27:53.120 of whites only
00:27:54.160 unless we grappled
00:27:55.960 with the questions
00:27:57.000 does an IQ test
00:27:59.660 or an SAT test
00:28:01.080 or any of these others
00:28:02.260 measure the same thing
00:28:04.120 in blacks
00:28:04.620 that it does in whites?
00:28:06.240 Is it as predictably valid?
00:28:09.080 Is it contaminated
00:28:10.400 by cultural bias?
00:28:11.640 Is it contaminated
00:28:12.960 by a lack of motivation
00:28:16.220 or a stereotype threat
00:28:18.380 is something that came up
00:28:19.340 after the bell curve
00:28:20.160 but now people would say
00:28:21.200 stereotype threat
00:28:22.520 is at work?
00:28:23.440 We had to deal with that.
00:28:24.880 We had to present
00:28:26.260 the story of
00:28:28.140 IQ tests
00:28:29.820 as applied
00:28:30.320 to African Americans
00:28:31.440 and other minorities
00:28:32.480 and make the case
00:28:34.360 that actually
00:28:35.640 the tests measure
00:28:36.460 the same thing
00:28:37.120 in various populations.
00:28:39.700 So we set out
00:28:40.360 to do so.
00:28:41.400 And we tried
00:28:42.140 to work into
00:28:42.860 the topic
00:28:43.620 sequentially.
00:28:46.320 The first
00:28:47.280 simplest thing
00:28:48.420 being
00:28:48.840 are the test scores
00:28:50.240 different
00:28:50.700 for whatever reasons?
00:28:52.880 And the answers
00:28:53.580 for that
00:28:54.200 are yes.
00:28:55.740 They are
00:28:56.680 for blacks and whites
00:28:57.860 there's about
00:28:58.860 a standard deviation
00:29:00.500 as the usual
00:29:01.460 size of the difference.
00:29:03.880 I'm assuming
00:29:04.460 by the way
00:29:05.140 that an awful lot
00:29:06.120 of your listeners
00:29:07.380 are statistically
00:29:08.820 literate
00:29:09.720 and they know
00:29:10.460 roughly what
00:29:11.080 I mean by a lot
00:29:12.680 of these terms
00:29:13.320 but just to
00:29:14.600 put it in
00:29:16.580 more traditional
00:29:18.240 terms
00:29:18.660 if you are one
00:29:19.940 standard deviation
00:29:21.000 below the mean
00:29:22.020 that means
00:29:23.400 you're at the
00:29:23.840 16th percentile.
00:29:25.220 If you're one
00:29:26.180 standard deviation
00:29:26.940 above the mean
00:29:27.840 you're at the
00:29:28.460 84th percentile.
00:29:29.960 That'll give you
00:29:31.020 a sense of
00:29:31.600 what a standard deviation
00:29:32.560 is.
00:29:33.260 IQ is normed
00:29:34.500 so that
00:29:35.040 the average
00:29:36.100 in the whole
00:29:37.380 population
00:29:38.000 is always
00:29:39.320 100
00:29:40.140 or as close
00:29:40.740 to 100
00:29:41.160 as possible
00:29:42.160 although
00:29:42.860 we'll get into
00:29:43.620 this IQs
00:29:44.440 have been
00:29:44.760 those scores
00:29:45.500 have been
00:29:45.860 creeping up
00:29:46.700 decade by decade
00:29:48.040 for reasons
00:29:49.140 that are not
00:29:49.740 totally understood.
00:29:51.020 So what you're
00:29:51.320 talking about
00:29:51.900 is if the
00:29:53.180 average
00:29:53.680 standard deviation
00:29:54.580 of 15.
00:29:55.500 So what we're
00:29:55.920 talking about
00:29:56.520 if the average
00:29:57.620 for white America
00:29:59.500 was 100
00:30:01.040 at the time
00:30:01.700 you wrote
00:30:02.020 that book
00:30:02.560 the average
00:30:03.680 for black America
00:30:05.200 was 85 IQ.
00:30:07.420 Right.
00:30:07.600 Right.
00:30:08.000 Now obviously
00:30:09.040 different tests
00:30:09.700 give different
00:30:10.160 results
00:30:10.680 and as time
00:30:11.980 goes on
00:30:12.380 this afternoon
00:30:12.820 we can get
00:30:13.640 into
00:30:14.040 has the gap
00:30:14.780 been converging
00:30:15.660 and things
00:30:16.960 like that
00:30:17.540 but one
00:30:18.260 standard deviation
00:30:19.040 for a considerable
00:30:20.820 period of time
00:30:21.620 has been a good
00:30:22.540 benchmark
00:30:23.040 for the size
00:30:23.860 of it.
00:30:24.480 By the way
00:30:25.180 there is also
00:30:26.080 a difference
00:30:26.820 between
00:30:27.480 whites
00:30:29.300 and East Asians.
00:30:31.300 It's harder
00:30:32.180 to pin that one
00:30:32.980 down for a variety
00:30:33.980 of technical
00:30:34.480 reasons.
00:30:35.260 Among others
00:30:35.760 until recently
00:30:36.840 we didn't have
00:30:37.520 really good
00:30:38.260 representative
00:30:38.760 samples of
00:30:39.700 Chinese living
00:30:41.000 in mainland
00:30:41.440 China
00:30:41.860 but it's
00:30:42.920 probably three
00:30:43.380 or four
00:30:43.680 points
00:30:44.080 and that's
00:30:46.140 kind of a
00:30:46.760 soft number
00:30:47.600 but clearer
00:30:49.100 statement about
00:30:49.900 differences with
00:30:50.920 whites and East
00:30:51.920 Asians is
00:30:52.540 that East Asians
00:30:53.940 have elevated
00:30:54.680 visual spatial IQ.
00:30:55.820 and with Latinos
00:30:58.180 which of course
00:30:59.000 is not a
00:30:59.680 racial group
00:31:00.560 but it's an
00:31:01.160 ethnic group
00:31:01.820 that's all
00:31:02.920 over the lot
00:31:03.580 but there
00:31:05.240 you're looking
00:31:05.760 at that
00:31:06.700 on the order
00:31:07.200 of the low
00:31:07.580 90s
00:31:08.120 as a mean
00:31:09.200 for those
00:31:09.780 in the United
00:31:10.560 States.
00:31:11.280 So first
00:31:11.640 we do simply
00:31:12.640 the numbers
00:31:13.140 on the
00:31:14.440 differences
00:31:14.800 exist.
00:31:15.880 I think I should
00:31:16.440 clarify a few
00:31:16.980 things.
00:31:17.320 So the disparity
00:31:18.100 with East Asians
00:31:18.900 is in the
00:31:19.900 favor of the
00:31:20.520 East Asians
00:31:21.060 now.
00:31:21.560 So they're
00:31:22.060 higher in
00:31:22.860 visual spatial
00:31:23.560 reasoning.
00:31:25.300 So I feel
00:31:26.180 like I should
00:31:26.560 give a little
00:31:27.280 context here
00:31:28.180 just for the
00:31:28.820 on the
00:31:29.660 general
00:31:30.060 concept of
00:31:31.500 IQ
00:31:31.840 and
00:31:32.840 what it
00:31:34.140 purports to
00:31:34.680 measure
00:31:34.980 general
00:31:35.460 intelligence.
00:31:35.980 There is
00:31:36.920 just this
00:31:37.400 fact which
00:31:38.180 is now
00:31:38.860 among the
00:31:39.400 most well
00:31:39.880 attested
00:31:40.300 facts in
00:31:41.340 psychology
00:31:42.560 that a
00:31:44.420 person's
00:31:44.920 ability to
00:31:45.620 reason
00:31:46.080 logically
00:31:46.680 and
00:31:46.960 mathematically
00:31:47.480 and
00:31:48.340 visual
00:31:48.780 spatially
00:31:49.460 and along
00:31:50.620 with their
00:31:51.260 semantic
00:31:51.900 knowledge of
00:31:52.840 the world
00:31:53.240 or the size
00:31:53.760 of their
00:31:53.980 vocabularies
00:31:54.700 for instance
00:31:55.120 all of
00:31:56.000 these
00:31:56.280 abilities
00:31:56.760 are highly
00:31:58.260 correlated
00:31:58.900 and it's
00:32:00.800 this correlation
00:32:01.640 that has been
00:32:02.640 dubbed
00:32:03.080 general
00:32:04.000 intelligence
00:32:04.620 or G
00:32:05.180 and this
00:32:06.140 is what
00:32:06.420 IQ tests
00:32:07.200 measure.
00:32:07.700 So the
00:32:07.820 IQ tests
00:32:08.220 have separate
00:32:08.780 parts that
00:32:09.340 interrogate
00:32:10.160 these separate
00:32:10.680 abilities
00:32:11.080 separately
00:32:11.540 but a
00:32:12.560 person's
00:32:12.980 ability
00:32:13.420 in all
00:32:14.420 of these
00:32:14.700 areas
00:32:15.100 is highly
00:32:15.620 correlated
00:32:16.140 and
00:32:16.740 one thing
00:32:18.160 that's
00:32:18.320 important
00:32:18.680 to point
00:32:19.320 out
00:32:19.480 is that
00:32:19.780 things
00:32:20.840 didn't have
00:32:21.300 to be
00:32:21.560 this way
00:32:22.000 in fact
00:32:22.420 it's
00:32:22.920 intuitively
00:32:23.380 plausible
00:32:24.260 that
00:32:24.840 if a
00:32:25.760 person
00:32:26.080 is going
00:32:26.420 to be
00:32:26.660 really
00:32:27.020 good
00:32:27.240 at
00:32:27.420 math
00:32:27.880 say
00:32:28.480 that
00:32:29.440 this
00:32:29.740 ability
00:32:30.180 could
00:32:30.460 come
00:32:30.680 at the
00:32:30.940 cost
00:32:31.560 of his
00:32:32.380 being
00:32:32.640 good
00:32:32.860 at
00:32:32.980 language
00:32:33.460 or vice
00:32:34.300 versa
00:32:34.620 but
00:32:35.540 that's
00:32:36.160 generally
00:32:36.520 not the
00:32:36.920 case
00:32:37.200 I mean
00:32:37.460 there's
00:32:37.960 just a
00:32:38.380 very
00:32:39.200 strong
00:32:39.640 case
00:32:39.960 to be
00:32:40.260 made
00:32:40.600 for
00:32:41.700 this
00:32:42.660 factor
00:32:43.160 of
00:32:43.460 general
00:32:43.800 intelligence
00:32:44.440 that's
00:32:44.980 actually
00:32:45.560 how it
00:32:45.940 got
00:32:46.100 started
00:32:46.500 was
00:32:47.160 Charles
00:32:47.660 Spearman
00:32:48.040 back
00:32:49.020 in the
00:32:49.240 beginning
00:32:49.460 of the
00:32:49.740 20th
00:32:50.100 century
00:32:50.500 brilliant
00:32:52.200 psychologist
00:32:52.920 he noticed
00:32:55.180 that it
00:32:55.560 didn't make
00:32:55.860 any difference
00:32:56.200 what the
00:32:56.680 test was
00:32:57.140 for
00:32:57.540 whether
00:32:58.340 it was
00:32:58.660 for
00:32:59.020 British
00:32:59.980 history
00:33:00.440 or
00:33:01.040 algebra
00:33:01.960 or
00:33:02.640 how to
00:33:03.460 fix
00:33:03.660 a car
00:33:04.120 or
00:33:04.580 anything
00:33:05.240 no matter
00:33:05.640 what
00:33:05.920 the test
00:33:06.600 was
00:33:07.080 as long
00:33:07.580 as it
00:33:07.900 tapped
00:33:08.440 into
00:33:08.820 something
00:33:09.300 in the
00:33:09.560 brain
00:33:09.900 the test
00:33:11.120 score
00:33:11.320 seemed
00:33:11.580 to be
00:33:11.800 correlated
00:33:12.240 that was
00:33:12.780 his first
00:33:13.200 insight
00:33:13.640 and his
00:33:14.840 second
00:33:15.200 insight
00:33:15.760 was
00:33:16.320 that
00:33:16.580 the
00:33:16.760 magnitudes
00:33:17.300 of the
00:33:17.540 correlation
00:33:18.000 varied
00:33:18.440 by
00:33:18.680 tests
00:33:19.220 and
00:33:20.420 then
00:33:20.860 even
00:33:21.400 before
00:33:21.780 he
00:33:21.980 invented
00:33:22.320 factor
00:33:22.760 analysis
00:33:23.220 he
00:33:24.120 would
00:33:24.580 look
00:33:24.840 at
00:33:24.960 the
00:33:25.080 pattern
00:33:25.400 of
00:33:25.560 correlation
00:33:26.020 and
00:33:26.240 say
00:33:26.360 you know
00:33:26.580 what
00:33:26.820 these
00:33:28.140 tests
00:33:28.400 seem
00:33:28.540 to be
00:33:28.760 clustering
00:33:29.200 on
00:33:29.500 something
00:33:29.900 and
00:33:30.260 then
00:33:30.520 statistically
00:33:31.080 he
00:33:31.300 invented
00:33:31.620 a way
00:33:32.240 of
00:33:32.460 capturing
00:33:33.200 that
00:33:33.460 so
00:33:33.840 it's
00:33:34.460 that
00:33:34.620 correlation
00:33:35.260 but
00:33:36.140 Sam
00:33:36.400 other
00:33:36.660 people
00:33:36.920 are
00:33:37.080 saying
00:33:37.300 to
00:33:37.420 themselves
00:33:37.760 right
00:33:38.080 now
00:33:38.360 wait
00:33:38.920 a minute
00:33:39.220 and
00:33:39.760 by the
00:33:40.140 way
00:33:40.260 I
00:33:40.360 could
00:33:40.480 say
00:33:40.640 this
00:33:40.820 about
00:33:41.020 myself
00:33:41.440 my
00:33:42.280 verbal
00:33:42.580 skills
00:33:42.920 are
00:33:43.100 way
00:33:43.260 better
00:33:43.440 than
00:33:43.640 my
00:33:43.860 math
00:33:44.100 skills
00:33:44.440 or
00:33:45.440 vice
00:33:45.700 versa
00:33:45.940 and
00:33:47.420 that's
00:33:47.760 that's
00:33:48.100 true
00:33:48.320 but
00:33:49.260 think
00:33:49.860 of it
00:33:50.080 in terms
00:33:50.640 since
00:33:51.020 most
00:33:51.520 of
00:33:51.780 your
00:33:52.080 listeners
00:33:52.860 have
00:33:53.280 taken
00:33:53.920 SAT
00:33:54.440 or
00:33:54.980 other
00:33:55.420 kinds
00:33:55.700 of
00:33:55.840 tests
00:33:56.160 think
00:33:57.020 in terms
00:33:57.440 of the
00:33:57.760 comparative
00:33:58.200 score
00:33:58.660 on the
00:33:58.980 SAT
00:33:59.460 verbal
00:34:00.400 versus
00:34:01.140 the
00:34:01.400 SAT
00:34:01.760 math
00:34:02.240 and
00:34:03.060 I
00:34:03.180 bet
00:34:03.600 you
00:34:04.720 yes
00:34:05.180 there
00:34:05.400 may
00:34:05.560 very
00:34:05.820 well
00:34:06.080 have
00:34:06.260 been
00:34:06.460 a
00:34:06.760 substantial
00:34:07.240 difference
00:34:07.660 between
00:34:07.940 your
00:34:08.100 two
00:34:08.260 scores
00:34:08.660 there
00:34:09.080 was
00:34:09.340 between
00:34:09.740 mine
00:34:10.060 but
00:34:11.320 it's
00:34:11.620 not
00:34:11.900 that
00:34:12.140 you
00:34:12.320 were
00:34:12.460 below
00:34:12.740 average
00:34:13.240 in
00:34:13.420 one
00:34:13.700 and
00:34:13.820 above
00:34:14.080 average
00:34:14.460 in
00:34:14.620 the
00:34:14.740 other
00:34:14.960 you
00:34:15.680 were
00:34:15.820 above
00:34:16.060 average
00:34:16.340 in
00:34:16.500 both
00:34:16.820 you
00:34:17.000 were
00:34:17.120 just
00:34:17.300 more
00:34:17.580 above
00:34:17.840 average
00:34:18.200 in
00:34:18.380 the
00:34:18.500 other
00:34:18.700 and
00:34:19.540 the
00:34:20.060 same
00:34:20.260 thing
00:34:20.460 would
00:34:20.560 be
00:34:20.680 true
00:34:20.860 if
00:34:21.000 you
00:34:21.060 were
00:34:21.140 below
00:34:21.360 average
00:34:21.700 usually
00:34:22.060 there
00:34:22.960 are
00:34:23.360 always
00:34:23.960 exceptions
00:34:24.500 I
00:34:25.500 have
00:34:25.760 a
00:34:25.880 close
00:34:26.140 relative
00:34:26.920 who
00:34:27.400 is
00:34:28.460 way
00:34:28.840 up
00:34:29.000 at
00:34:29.100 the
00:34:29.220 tippy
00:34:29.440 top
00:34:30.040 on
00:34:30.260 verbal
00:34:30.580 and
00:34:31.100 is
00:34:31.320 way
00:34:31.580 below
00:34:31.840 average
00:34:32.340 on
00:34:32.700 math
00:34:33.520 but
00:34:34.400 that's
00:34:34.980 unusual
00:34:35.580 enough
00:34:36.080 that
00:34:36.420 the
00:34:36.800 psychologist
00:34:38.200 who
00:34:38.520 tested
00:34:38.860 him
00:34:39.220 said
00:34:39.900 that
00:34:40.080 in
00:34:40.200 30
00:34:40.440 years
00:34:40.800 of
00:34:41.060 testing
00:34:41.440 people
00:34:41.820 he'd
00:34:41.980 never
00:34:42.160 seen
00:34:42.380 that
00:34:42.560 before
00:34:42.900 by
00:34:43.560 and
00:34:43.760 large
00:34:44.200 you
00:34:45.080 have
00:34:45.540 the
00:34:45.780 kinds
00:34:46.020 of
00:34:46.120 correlations
00:34:46.620 you're
00:34:46.780 talking
00:34:47.060 about
00:34:47.320 it's
00:34:47.540 very
00:34:48.040 well
00:34:48.300 established
00:34:48.820 yeah
00:34:49.340 and
00:34:49.500 there
00:34:49.760 are
00:34:49.860 a few
00:34:50.100 other
00:34:50.500 wrinkles
00:34:50.800 here
00:34:51.100 so
00:34:51.400 there's
00:34:51.680 people
00:34:51.980 can
00:34:52.180 be
00:34:52.380 dyslexic
00:34:53.200 and
00:34:53.620 be
00:34:54.080 very
00:34:54.520 high
00:34:55.180 in
00:34:55.320 intelligence
00:34:55.760 but
00:34:56.040 the
00:34:56.420 dyslexia
00:34:57.420 impedes
00:34:58.020 their
00:34:58.200 academic
00:34:58.600 performance
00:34:59.120 and
00:34:59.580 there
00:34:59.700 are
00:35:02.700 ability
00:35:03.380 intellectually
00:35:04.480 like
00:35:04.860 creativity
00:35:05.440 and
00:35:06.300 ambition
00:35:07.320 and
00:35:08.020 there's
00:35:08.760 other
00:35:09.320 things
00:35:09.600 going
00:35:09.820 on
00:35:10.060 that
00:35:10.220 explain
00:35:10.900 a
00:35:11.180 person's
00:35:12.160 success
00:35:12.920 academically
00:35:14.120 or
00:35:14.480 occupationally
00:35:15.320 oh
00:35:16.040 let me
00:35:16.320 throw in
00:35:17.120 my very
00:35:17.640 favorite
00:35:18.080 analogy
00:35:18.640 about
00:35:18.940 the role
00:35:19.320 of
00:35:19.480 IQ
00:35:19.760 in
00:35:20.100 success
00:35:20.580 comes
00:35:21.540 from
00:35:21.760 Steven
00:35:22.160 Goldberg
00:35:22.720 who's
00:35:23.000 a
00:35:23.100 professor
00:35:23.440 of
00:35:23.660 sociology
00:35:24.280 at
00:35:24.720 I
00:35:25.520 think
00:35:25.660 City
00:35:25.900 College
00:35:26.180 of
00:35:26.360 New
00:35:26.500 York
00:35:26.860 it's
00:35:28.140 great
00:35:29.180 he says
00:35:29.640 the role
00:35:30.240 of IQ
00:35:30.880 in
00:35:31.940 explaining
00:35:32.360 success
00:35:33.100 is
00:35:34.080 IQ
00:35:35.120 has
00:35:35.400 the
00:35:35.540 same
00:35:35.720 role
00:35:35.980 as
00:35:36.160 weight
00:35:36.480 does
00:35:36.940 for
00:35:37.240 offensive
00:35:37.720 linemen
00:35:38.200 in the
00:35:38.480 NFL
00:35:38.800 he said
00:35:39.560 if you
00:35:39.960 take
00:35:40.380 the
00:35:40.660 starting
00:35:41.040 linemen
00:35:41.520 in the
00:35:41.920 NFL
00:35:42.220 and you
00:35:42.980 correlate
00:35:43.420 their
00:35:43.740 productivity
00:35:44.280 with their
00:35:44.980 weight
00:35:45.340 the correlation
00:35:46.060 is going to be
00:35:46.480 basically
00:35:46.800 zero
00:35:47.240 because the
00:35:48.320 heaviest
00:35:48.680 linemen
00:35:49.140 are not
00:35:49.900 the best
00:35:50.500 linemen
00:35:50.860 but you
00:35:51.640 have to
00:35:51.920 be 300
00:35:52.340 pounds
00:35:52.720 to get
00:35:53.040 the job
00:35:53.480 and
00:35:54.320 that's
00:35:55.000 the way
00:35:55.880 with IQ
00:35:56.520 motivation
00:35:58.460 what they
00:35:58.980 now call
00:35:59.440 grit
00:35:59.860 and a
00:36:01.300 variety
00:36:01.600 of other
00:36:02.020 things
00:36:02.340 are
00:36:02.700 decisively
00:36:03.660 important
00:36:04.280 but if
00:36:05.480 you
00:36:05.660 if you're
00:36:06.000 going to be
00:36:06.360 a theoretical
00:36:06.900 physicist
00:36:07.440 you have to
00:36:08.160 weigh 300
00:36:08.600 pounds
00:36:08.940 to begin
00:36:09.280 with
00:36:09.780 and then
00:36:10.440 among
00:36:10.980 theoretical
00:36:11.440 physicists
00:36:11.960 those other
00:36:13.020 qualities
00:36:13.480 will be
00:36:14.180 really
00:36:14.520 really
00:36:14.740 important
00:36:15.120 in determining
00:36:15.700 how good
00:36:16.080 you are
00:36:16.420 right
00:36:17.120 so
00:36:17.900 and the
00:36:18.320 other
00:36:18.500 piece
00:36:18.940 we should
00:36:19.200 put
00:36:19.380 in here
00:36:19.820 is that
00:36:20.800 it's
00:36:21.700 also
00:36:22.140 one
00:36:22.620 of the
00:36:22.860 most
00:36:23.220 robust
00:36:24.080 findings
00:36:24.580 in
00:36:25.060 psychology
00:36:25.860 at the
00:36:26.300 moment
00:36:26.540 or I
00:36:27.240 should
00:36:27.420 say
00:36:27.740 behavioral
00:36:28.240 genetics
00:36:28.680 really
00:36:29.100 that
00:36:30.120 IQ
00:36:30.620 is
00:36:31.000 highly
00:36:31.480 heritable
00:36:31.960 it's
00:36:32.580 somewhere
00:36:32.900 in the
00:36:33.240 range
00:36:33.620 of
00:36:33.860 50
00:36:34.200 to
00:36:34.340 80
00:36:34.520 percent
00:36:34.860 depending
00:36:35.160 on
00:36:35.340 how
00:36:35.500 old
00:36:35.740 a
00:36:35.860 person
00:36:36.100 is
00:36:36.280 it
00:36:36.380 actually
00:36:36.620 seems
00:36:37.360 to
00:36:37.500 become
00:36:37.740 more
00:36:38.140 heritable
00:36:38.620 the older
00:36:39.700 we get
00:36:40.580 which is
00:36:41.120 strange
00:36:42.040 there's
00:36:42.400 this
00:36:42.560 concept
00:36:43.360 of
00:36:43.640 genetic
00:36:44.000 amplification
00:36:44.880 where
00:36:45.240 the
00:36:45.960 boundary
00:36:46.280 between
00:36:46.820 genetic
00:36:47.720 difference
00:36:48.280 and
00:36:48.460 environmental
00:36:48.920 difference
00:36:49.340 is kind
00:36:49.760 of hard
00:36:50.020 to draw
00:36:50.460 because
00:36:50.720 you can
00:36:50.960 think
00:36:51.380 of the
00:36:51.580 fact
00:36:51.800 that
00:36:52.060 genetic
00:36:52.800 tendencies
00:36:53.540 early
00:36:54.280 in life
00:36:54.860 can lead
00:36:55.980 to
00:36:56.200 changes
00:36:56.800 in
00:36:57.260 environment
00:36:57.780 so
00:36:58.020 when we
00:36:58.440 think
00:36:58.580 about
00:36:58.760 environment
00:36:59.140 we tend
00:36:59.460 to
00:36:59.560 think
00:36:59.700 about
00:36:59.960 the
00:37:00.480 environment
00:37:00.860 that
00:37:01.040 gets
00:37:01.180 imposed
00:37:01.640 on
00:37:02.180 a
00:37:02.340 child
00:37:02.760 by
00:37:03.040 the
00:37:03.220 parents
00:37:03.620 or
00:37:03.780 by
00:37:03.960 society
00:37:04.520 but
00:37:05.260 you
00:37:05.380 also
00:37:05.620 have
00:37:05.780 to
00:37:05.880 think
00:37:06.000 about
00:37:06.180 the
00:37:06.340 things
00:37:06.820 children
00:37:07.820 choose
00:37:08.380 to do
00:37:08.680 with
00:37:08.820 their
00:37:12.040 become
00:37:12.260 obsessed
00:37:13.140 with
00:37:13.340 computers
00:37:13.800 and
00:37:14.140 then
00:37:14.380 go
00:37:14.580 get
00:37:14.760 a
00:37:14.880 job
00:37:15.120 at
00:37:15.280 Google
00:37:15.600 well
00:37:15.900 then
00:37:16.080 your
00:37:16.480 environment
00:37:17.660 has been
00:37:18.160 shaped
00:37:18.620 by
00:37:19.100 what
00:37:19.980 you
00:37:20.160 have
00:37:20.360 paid
00:37:20.620 attention
00:37:21.000 to
00:37:21.340 and
00:37:21.580 what
00:37:21.760 you
00:37:21.860 have
00:37:22.000 paid
00:37:22.140 attention
00:37:22.500 to
00:37:22.780 and
00:37:22.940 your
00:37:23.080 aptitude
00:37:23.600 the
00:37:23.900 underlying
00:37:24.260 aptitudes
00:37:24.720 that
00:37:24.920 caused
00:37:25.280 you
00:37:25.420 to
00:37:25.540 do
00:37:25.700 that
00:37:26.020 were
00:37:26.840 to
00:37:27.620 a
00:37:27.840 very
00:37:28.200 significant
00:37:28.580 degree
00:37:28.960 it
00:37:29.120 seems
00:37:29.380 at
00:37:29.580 least
00:37:29.900 50%
00:37:30.820 dictated
00:37:31.860 by
00:37:32.340 the
00:37:32.720 genes
00:37:33.020 you
00:37:33.180 inherited
00:37:33.520 from
00:37:33.740 your
00:37:33.860 parents
00:37:34.180 yeah
00:37:34.660 all of
00:37:35.280 that
00:37:35.460 is
00:37:35.640 true
00:37:35.980 and
00:37:36.880 it
00:37:37.680 is
00:37:42.040 there
00:37:42.660 are
00:37:43.620 enough
00:37:44.000 really
00:37:44.360 good
00:37:44.820 twin
00:37:45.100 studies
00:37:45.660 and
00:37:46.580 by
00:37:46.720 that
00:37:46.900 I
00:37:47.020 don't
00:37:47.160 mean
00:37:47.440 twins
00:37:47.920 raised
00:37:48.260 apart
00:37:48.580 I'm
00:37:48.800 talking
00:37:49.080 about
00:37:49.320 the
00:37:49.460 classic
00:37:49.780 twin
00:37:50.040 studies
00:37:50.420 where
00:37:50.900 you're
00:37:51.040 comparing
00:37:51.380 identical
00:37:51.860 twins
00:37:52.240 with
00:37:52.580 paternal
00:37:53.560 twins
00:37:53.880 which
00:37:54.180 allows
00:37:55.000 for
00:37:55.320 some
00:37:55.500 very
00:37:55.880 useful
00:37:56.820 and
00:37:57.080 powerful
00:37:57.600 disentangling
00:37:58.940 of
00:37:59.120 environment
00:37:59.540 and
00:37:59.760 genes
00:38:00.100 so
00:38:01.040 are
00:38:01.460 there
00:38:01.660 gene
00:38:02.440 environment
00:38:02.960 interactions
00:38:03.620 where
00:38:04.100 to
00:38:04.540 some
00:38:04.740 degree
00:38:04.980 a
00:38:05.160 child
00:38:05.440 creates
00:38:05.980 his
00:38:06.460 or
00:38:06.580 her
00:38:06.740 own
00:38:06.920 environment
00:38:07.460 that
00:38:07.840 in
00:38:08.020 turn
00:38:08.280 reinforces
00:38:10.360 the
00:38:10.640 genetic
00:38:10.960 material
00:38:11.420 absolutely
00:38:11.940 does
00:38:13.020 that
00:38:13.460 mean
00:38:14.700 that
00:38:15.120 if
00:38:15.360 only
00:38:15.740 you
00:38:16.080 can
00:38:16.420 jack
00:38:16.780 up
00:38:17.080 artificially
00:38:18.180 the
00:38:18.380 environment
00:38:18.920 you're
00:38:19.580 going
00:38:19.740 to
00:38:19.820 make
00:38:19.980 much
00:38:20.180 difference
00:38:20.620 in
00:38:20.800 a
00:38:20.920 child's
00:38:21.240 IQ
00:38:21.520 and
00:38:22.120 the
00:38:22.220 answer
00:38:22.440 to
00:38:22.600 that
00:38:22.820 is
00:38:23.700 not
00:38:24.480 long
00:38:24.820 term
00:38:25.060 you
00:38:25.840 can
00:38:26.000 get
00:38:26.140 some
00:38:26.340 short
00:38:26.640 term
00:38:26.900 effects
00:38:27.420 but
00:38:28.460 the
00:38:28.820 fade
00:38:29.140 problem
00:38:29.500 of
00:38:29.680 fade
00:38:29.860 out
00:38:30.140 is
00:38:30.620 universal
00:38:31.480 yeah
00:38:32.500 so
00:38:32.640 that's
00:38:32.860 also
00:38:33.160 another
00:38:33.640 wrinkle
00:38:34.100 here
00:38:34.320 which
00:38:34.560 is
00:38:34.880 I
00:38:35.820 think
00:38:36.040 adds
00:38:36.640 to
00:38:36.840 people's
00:38:37.780 concern
00:38:38.720 about
00:38:39.300 talking
00:38:40.080 about
00:38:40.320 this
00:38:40.500 whole
00:38:40.700 area
00:38:41.040 this
00:38:41.260 lack
00:38:42.080 of
00:38:42.480 anything
00:38:43.240 obvious
00:38:43.900 to do
00:38:44.900 about
00:38:45.560 remedying
00:38:46.680 any
00:38:47.120 inequalities
00:38:47.780 we
00:38:48.280 find
00:38:49.340 here
00:38:49.660 that's
00:38:50.500 I think
00:38:51.240 a major
00:38:51.740 source
00:38:52.340 of
00:38:52.960 angst
00:38:53.500 and
00:38:54.120 it's
00:38:54.620 kind of
00:38:56.020 a preamble
00:38:56.640 to something
00:38:57.080 I'll be coming
00:38:57.840 back to
00:38:58.380 there
00:38:59.220 there
00:38:59.240 there is
00:38:59.500 this
00:38:59.740 notion
00:39:00.220 that
00:39:00.720 if
00:39:01.020 traits
00:39:01.680 are
00:39:01.900 genetically
00:39:02.440 determined
00:39:03.240 that's
00:39:04.860 bad
00:39:06.600 and
00:39:07.140 if
00:39:07.440 traits
00:39:07.860 are
00:39:08.040 environmentally
00:39:08.620 determined
00:39:09.140 that's
00:39:09.920 good
00:39:10.320 because
00:39:10.680 we
00:39:10.940 can
00:39:11.100 do
00:39:11.360 something
00:39:11.700 about
00:39:12.040 them
00:39:12.200 if
00:39:12.360 they're
00:39:12.500 environmental
00:39:12.940 and
00:39:13.840 if
00:39:13.980 there
00:39:14.120 is
00:39:14.260 one
00:39:14.560 lesson
00:39:14.920 that
00:39:15.080 we
00:39:15.200 have
00:39:15.360 learned
00:39:15.780 from
00:39:16.160 the
00:39:16.780 last
00:39:17.000 70
00:39:17.320 years
00:39:17.540 of
00:39:17.700 social
00:39:17.960 policy
00:39:18.460 it
00:39:18.820 is
00:39:19.140 that
00:39:19.320 changing
00:39:19.700 environments
00:39:20.340 in
00:39:20.900 ways
00:39:21.240 that
00:39:21.440 produce
00:39:21.780 measurable
00:39:22.200 results
00:39:22.780 is
00:39:23.280 really
00:39:23.860 really
00:39:24.580 hard
00:39:25.080 and
00:39:25.640 we
00:39:25.800 actually
00:39:26.700 don't
00:39:26.980 know
00:39:27.120 how
00:39:27.260 to
00:39:27.380 do
00:39:27.520 it
00:39:27.620 no
00:39:27.760 matter
00:39:27.920 how
00:39:28.120 much
00:39:28.300 money
00:39:28.480 we
00:39:28.640 spend
00:39:28.920 right
00:39:29.620 we should
00:39:30.120 also
00:39:30.260 another
00:39:30.660 background
00:39:31.060 point
00:39:31.320 here
00:39:31.460 is
00:39:31.560 that
00:39:31.740 virtually
00:39:32.560 everything
00:39:33.520 important
00:39:34.820 psychologically
00:39:36.000 most things
00:39:37.020 that interest
00:39:37.520 us
00:39:37.860 psychologically
00:39:38.540 about
00:39:38.900 people
00:39:39.280 these
00:39:39.880 traits
00:39:40.140 are also
00:39:40.620 highly
00:39:41.180 heritable
00:39:41.680 this
00:39:41.940 includes
00:39:42.680 like
00:39:43.180 the
00:39:43.320 big
00:39:43.500 five
00:39:43.880 personality
00:39:44.520 traits
00:39:44.980 extroversion
00:39:45.800 agreeableness
00:39:47.120 conscientiousness
00:39:48.420 neuroticism
00:39:49.280 and openness
00:39:50.120 I mean
00:39:50.420 these are
00:39:51.220 a person's
00:39:52.340 personality
00:39:53.080 is also
00:39:54.580 at this
00:39:55.320 point
00:39:55.520 about 50%
00:39:56.360 ascribed
00:39:56.940 to
00:39:57.460 genetic
00:39:58.160 inheritance
00:39:58.620 and the
00:39:59.520 rest
00:39:59.740 to
00:39:59.860 environment
00:40:00.280 right
00:40:01.180 but
00:40:01.620 here
00:40:02.120 we get
00:40:02.480 the
00:40:02.660 wrinkle
00:40:03.040 we could
00:40:05.060 talk
00:40:05.360 forever
00:40:06.080 but
00:40:06.300 anyway
00:40:06.540 I'll
00:40:06.720 just
00:40:06.860 throw
00:40:07.040 this
00:40:07.260 in
00:40:07.500 that
00:40:08.500 there
00:40:08.740 is
00:40:08.880 the
00:40:09.040 shared
00:40:09.240 environment
00:40:09.740 and
00:40:10.020 there
00:40:10.140 is
00:40:10.240 the
00:40:10.380 non
00:40:10.600 shared
00:40:10.800 environment
00:40:11.300 and
00:40:11.720 that's
00:40:11.960 one
00:40:12.100 of
00:40:12.180 the
00:40:12.280 things
00:40:12.480 that
00:40:12.640 twin
00:40:12.840 studies
00:40:13.240 has
00:40:13.460 elucidated
00:40:14.100 and
00:40:15.140 it's
00:40:15.640 the
00:40:15.800 non
00:40:16.200 shared
00:40:16.520 environment
00:40:17.140 that
00:40:18.260 takes
00:40:19.720 up
00:40:20.120 almost
00:40:21.420 all of
00:40:21.860 that
00:40:22.020 50%
00:40:22.880 of
00:40:23.300 personality
00:40:23.780 characteristics
00:40:24.540 that is
00:40:24.980 not
00:40:25.180 explained
00:40:25.600 by
00:40:26.160 genes
00:40:26.580 non
00:40:27.400 shared
00:40:27.620 environment
00:40:28.160 can be
00:40:28.480 all
00:40:28.680 sorts
00:40:28.940 of
00:40:29.080 things
00:40:29.440 it
00:40:29.960 can
00:40:30.240 be
00:40:30.580 you
00:40:31.280 had
00:40:31.460 different
00:40:31.740 teachers
00:40:32.120 in
00:40:32.360 schools
00:40:32.800 you ran
00:40:33.240 with
00:40:33.380 different
00:40:33.660 peer
00:40:33.920 groups
00:40:34.280 it
00:40:34.660 can
00:40:34.800 also
00:40:35.080 be
00:40:35.280 that
00:40:35.480 the
00:40:35.720 parents
00:40:36.140 treat
00:40:36.580 children
00:40:37.040 differently
00:40:37.460 so
00:40:37.780 the
00:40:38.620 warmth
00:40:39.080 of
00:40:39.420 maternal
00:40:39.900 warmth
00:40:40.460 that
00:40:40.680 a
00:40:40.840 mother
00:40:41.040 shows
00:40:41.400 toward
00:40:41.680 one
00:40:41.980 twin
00:40:42.300 can
00:40:43.480 and
00:40:44.120 sometimes
00:40:44.620 is
00:40:44.960 much
00:40:45.220 different
00:40:45.560 than
00:40:45.780 the
00:40:45.920 warmth
00:40:46.220 shown
00:40:46.580 to
00:40:47.040 another
00:40:47.300 so
00:40:47.940 but
00:40:48.620 the
00:40:48.780 thing
00:40:48.940 about
00:40:49.160 the
00:40:49.340 non
00:40:49.580 shared
00:40:49.760 environment
00:40:50.160 is
00:40:50.440 it's
00:40:50.680 not
00:40:50.940 susceptible
00:40:51.520 to
00:40:51.900 systematic
00:40:52.440 manipulation
00:40:53.120 it's
00:40:54.100 it's
00:40:54.660 it's
00:40:54.960 this
00:40:55.160 it's
00:40:55.540 idiosyncratic
00:40:56.380 it's
00:40:57.320 non
00:40:57.600 systematic
00:40:58.200 that
00:40:59.440 there
00:40:59.700 are
00:40:59.960 no
00:41:00.280 obvious
00:41:00.860 ways
00:41:01.300 that
00:41:01.520 you
00:41:01.660 can
00:41:01.860 deal
00:41:02.240 with
00:41:02.480 the
00:41:02.620 non
00:41:02.860 shared
00:41:03.100 environment
00:41:03.620 in
00:41:04.240 the
00:41:04.360 way
00:41:04.540 that
00:41:04.700 you
00:41:04.800 could
00:41:04.940 say
00:41:05.140 oh
00:41:05.540 we
00:41:05.700 can
00:41:05.820 improve
00:41:06.120 the
00:41:06.300 schools
00:41:06.720 we
00:41:07.260 can
00:41:07.420 teach
00:41:07.680 better
00:41:08.000 parenting
00:41:08.380 practices
00:41:08.940 we
00:41:09.660 can
00:41:10.100 provide
00:41:11.100 more
00:41:11.540 money
00:41:12.040 for
00:41:12.440 whatever
00:41:13.540 you
00:41:13.780 want
00:41:13.960 to
00:41:14.040 provide
00:41:14.340 money
00:41:14.600 for
00:41:14.960 that
00:41:15.520 those
00:41:15.760 are
00:41:16.280 all
00:41:16.600 fall
00:41:16.920 into
00:41:17.100 the
00:41:17.240 category
00:41:17.740 of
00:41:18.220 manipulating
00:41:18.640 the
00:41:18.900 shared
00:41:19.120 environment
00:41:19.580 and
00:41:20.500 when
00:41:20.640 it
00:41:20.760 comes
00:41:20.980 to
00:41:21.140 personality
00:41:21.700 as
00:41:22.400 you
00:41:22.540 just
00:41:22.740 indicated
00:41:23.220 it's
00:41:24.340 50-50
00:41:25.020 but
00:41:25.640 almost
00:41:25.920 all of
00:41:26.240 that
00:41:26.360 50
00:41:26.640 is
00:41:26.800 non
00:41:27.020 shared
00:41:27.320 yeah
00:41:27.900 which
00:41:28.280 seems
00:41:28.600 to
00:41:28.820 leave
00:41:29.080 parents
00:41:29.660 impressively
00:41:30.700 off
00:41:30.980 the
00:41:31.160 hook
00:41:31.420 for
00:41:31.740 the
00:41:31.960 how
00:41:32.460 their
00:41:32.680 kids
00:41:32.900 turn
00:41:33.200 out
00:41:33.440 although
00:41:34.280 it
00:41:34.480 is
00:41:34.640 true
00:41:35.220 that
00:41:35.500 parents
00:41:36.000 and
00:41:36.260 I'm
00:41:36.520 a
00:41:36.720 father
00:41:37.020 of
00:41:37.240 four
00:41:37.520 we
00:41:38.320 resist
00:41:38.860 that
00:41:39.280 yeah
00:41:39.700 and
00:41:40.080 and
00:41:40.380 with
00:41:40.600 the
00:41:40.760 non
00:41:40.980 shared
00:41:41.180 environment
00:41:41.700 and
00:41:42.240 the
00:41:42.680 small
00:41:43.140 role
00:41:43.480 left
00:41:43.780 for
00:41:44.000 parenting
00:41:44.340 I
00:41:46.160 will
00:41:47.100 say it
00:41:47.760 flat out
00:41:48.320 I read
00:41:49.040 that
00:41:49.340 research
00:41:49.860 with
00:41:50.340 the
00:41:50.720 most
00:41:51.100 skeptical
00:41:51.620 possible
00:41:52.380 eye
00:41:53.260 I was
00:41:54.120 looking
00:41:54.540 for holes
00:41:55.320 in it
00:41:55.980 assiduously
00:41:57.900 this
00:41:58.720 is
00:41:59.160 Judith
00:41:59.760 Rich
00:42:00.160 Harris
00:42:00.480 right
00:42:00.800 Judith
00:42:01.040 Harris
00:42:01.520 wrote
00:42:02.200 a book
00:42:02.440 on this
00:42:02.700 topic
00:42:02.960 didn't
00:42:03.180 you
00:42:03.380 Judith
00:42:03.700 Harris
00:42:03.960 yes
00:42:04.720 and
00:42:05.300 that
00:42:05.440 was
00:42:05.540 back
00:42:05.760 in the
00:42:05.960 1990s
00:42:06.720 and
00:42:07.660 talk
00:42:08.020 about
00:42:08.500 well
00:42:10.180 look
00:42:11.120 you said
00:42:11.920 that you
00:42:12.200 heard about
00:42:12.580 the bell
00:42:12.900 curve
00:42:13.200 and didn't
00:42:13.540 read it
00:42:13.800 for a long
00:42:14.120 time
00:42:14.420 I heard
00:42:15.800 about her
00:42:16.220 book
00:42:16.480 and I
00:42:16.820 didn't
00:42:17.000 read it
00:42:17.340 for a long
00:42:17.840 time
00:42:18.200 funny how
00:42:19.080 that
00:42:19.220 happened
00:42:19.440 I didn't
00:42:19.800 I didn't
00:42:20.260 want to
00:42:20.560 believe
00:42:20.840 it
00:42:21.120 and she
00:42:21.760 was
00:42:21.980 the book
00:42:22.480 was very
00:42:22.960 sound
00:42:23.380 it was
00:42:23.740 very
00:42:24.100 rigorously
00:42:24.700 done
00:42:25.100 and
00:42:26.000 at this
00:42:27.320 point
00:42:27.680 I don't
00:42:28.340 know of
00:42:28.820 anybody
00:42:29.380 who's
00:42:29.640 familiar
00:42:29.920 with the
00:42:30.280 literature
00:42:30.640 who thinks
00:42:31.680 there's
00:42:31.980 that much
00:42:32.560 of a role
00:42:33.060 left
00:42:33.520 of the
00:42:34.180 kind
00:42:34.460 that parents
00:42:35.020 thought
00:42:35.420 they had
00:42:36.000 in shaping
00:42:37.160 their children
00:42:37.740 right well
00:42:39.000 I'm not
00:42:39.780 gonna stop
00:42:40.420 trying I
00:42:40.980 think
00:42:41.220 it's
00:42:41.640 it's a very
00:42:43.040 hard illusion
00:42:43.600 to cut
00:42:44.020 through
00:42:44.220 as I read
00:42:45.520 Harry Potter
00:42:46.080 tonight to
00:42:46.620 my my
00:42:47.260 eldest daughter
00:42:47.920 you know
00:42:48.480 you know
00:42:48.880 that but
00:42:49.280 but I
00:42:49.700 think that
00:42:50.120 it's good
00:42:50.760 to reflect
00:42:52.580 on that
00:42:53.140 reading
00:42:54.440 Harry Potter
00:42:55.340 to your
00:42:55.860 eldest daughter
00:42:56.520 is a
00:42:57.200 good
00:42:57.500 in itself
00:42:58.460 yeah
00:42:59.080 and the
00:42:59.760 fact that
00:43:00.140 she behaves
00:43:00.600 differently
00:43:00.980 20 years
00:43:01.540 from now
00:43:01.860 is not
00:43:02.100 the point
00:43:02.480 no
00:43:02.780 exactly
00:43:03.240 it is
00:43:04.360 an intrinsic
00:43:04.840 good
00:43:05.220 and it's
00:43:06.160 for my
00:43:06.500 own pleasure
00:43:07.020 that I do
00:43:08.020 it largely
00:43:08.460 at this
00:43:08.800 point
00:43:09.020 again
00:43:09.720 I'm
00:43:10.360 painfully
00:43:11.260 aware
00:43:11.620 and I
00:43:11.940 think our
00:43:12.180 listeners
00:43:12.480 will be
00:43:12.980 that
00:43:13.240 we are
00:43:14.420 proceeding
00:43:15.120 along a
00:43:16.540 razor's
00:43:16.980 edge
00:43:17.180 in this
00:43:17.460 conversation
00:43:18.020 and that
00:43:19.200 my attempt
00:43:20.080 to have
00:43:20.560 it
00:43:20.740 defensively
00:43:22.140 is all
00:43:23.540 too obvious
00:43:24.120 I want
00:43:24.740 given your
00:43:25.560 experience
00:43:26.200 and given
00:43:27.140 just how
00:43:28.160 combustible
00:43:28.900 these issues
00:43:29.600 are I just
00:43:30.020 want to make
00:43:30.360 sure we're
00:43:31.340 putting the
00:43:32.500 relevant pieces
00:43:33.220 in play
00:43:34.440 when our
00:43:35.480 listeners need
00:43:36.260 to receive
00:43:36.740 them
00:43:37.000 that's the
00:43:37.460 one thing
00:43:38.000 that it
00:43:38.820 just occurred
00:43:39.180 to me
00:43:39.420 people should
00:43:39.960 also understand
00:43:40.660 is that
00:43:41.100 in addition
00:43:41.980 to the
00:43:42.260 fact that
00:43:42.600 IQ doesn't
00:43:43.280 explain
00:43:43.640 everything
00:43:44.100 about a
00:43:44.540 person's
00:43:44.980 success
00:43:45.260 in life
00:43:45.760 and their
00:43:46.180 intellectual
00:43:47.020 abilities
00:43:47.740 the fact
00:43:48.900 that a
00:43:49.380 trait is
00:43:50.020 genetically
00:43:50.580 transmitted
00:43:51.320 in
00:43:52.480 individuals
00:43:52.960 does not
00:43:54.320 mean
00:43:54.960 that
00:43:56.220 all the
00:43:56.960 differences
00:43:57.360 between
00:43:58.000 groups
00:43:58.580 or really
00:43:58.900 even
00:43:59.180 any of
00:43:59.580 the
00:43:59.680 differences
00:43:59.980 between
00:44:00.400 groups
00:44:00.740 in
00:44:00.900 that
00:44:01.080 trait
00:44:01.380 are
00:44:02.040 also
00:44:02.500 genetic
00:44:02.980 in
00:44:03.340 origin
00:44:03.760 right
00:44:04.020 so
00:44:04.140 this
00:44:04.320 critically
00:44:04.980 important
00:44:05.400 point
00:44:06.500 yeah
00:44:06.820 so the
00:44:07.140 jury can
00:44:07.940 still be
00:44:08.300 out on
00:44:08.640 this
00:44:08.820 topic
00:44:09.140 and we'll
00:44:09.680 talk
00:44:09.900 about
00:44:10.080 that
00:44:10.240 but
00:44:10.440 to
00:44:10.960 give
00:44:11.100 a
00:44:11.260 clear
00:44:11.620 example
00:44:12.020 so
00:44:12.220 if
00:44:12.300 you
00:44:12.400 have
00:44:12.540 a
00:44:12.700 population
00:44:13.260 of
00:44:13.460 people
00:44:13.800 that
00:44:14.780 is
00:44:14.900 being
00:44:15.120 systematically
00:44:15.860 malnourished
00:44:16.800 now
00:44:17.760 they might
00:44:18.260 have
00:44:18.600 genes
00:44:19.140 to be
00:44:19.840 as tall
00:44:20.440 as the
00:44:20.920 Dutch
00:44:21.260 but
00:44:21.640 they
00:44:21.800 won't
00:44:22.080 be
00:44:22.320 because
00:44:22.780 they're
00:44:23.260 not
00:44:23.440 getting
00:44:23.780 enough
00:44:24.600 nourishment
00:44:25.120 and
00:44:26.220 in the
00:44:26.840 case
00:44:27.120 that
00:44:27.340 they
00:44:27.660 don't
00:44:28.340 become
00:44:28.600 as tall
00:44:28.980 as the
00:44:29.320 Dutch
00:44:29.640 it will
00:44:30.480 be
00:44:30.660 entirely
00:44:31.200 due
00:44:31.600 to
00:44:31.780 their
00:44:31.940 environment
00:44:32.380 and yet
00:44:32.960 we know
00:44:33.720 that height
00:44:34.260 is among
00:44:34.780 the most
00:44:35.140 heritable
00:44:35.500 things
00:44:36.080 we've
00:44:36.460 got
00:44:36.700 it's
00:44:36.900 also
00:44:37.100 like
00:44:37.360 60
00:44:37.680 to
00:44:37.800 80
00:44:37.980 percent
00:44:38.320 predicted
00:44:38.680 by
00:44:38.880 a
00:44:39.000 person's
00:44:39.320 genes
00:44:39.560 right
00:44:40.400 the
00:44:41.080 comparison
00:44:41.740 we use
00:44:42.240 in the
00:44:42.460 book
00:44:42.760 which
00:44:43.760 actually
00:44:44.280 was drawn
00:44:45.180 from
00:44:45.500 Richard
00:44:45.760 Lewontin
00:44:46.220 the
00:44:46.560 geneticist
00:44:47.520 is that
00:44:48.660 if you
00:44:49.160 take a
00:44:49.660 handful
00:44:50.520 of
00:44:51.020 genetically
00:44:51.800 identical
00:44:52.560 seed
00:44:52.980 corn
00:44:53.320 and divide
00:44:54.380 it into
00:44:54.680 two
00:44:54.880 parts
00:44:55.300 and plant
00:44:55.860 one of
00:44:56.480 those
00:44:56.780 parts
00:44:57.520 in Iowa
00:44:58.020 and the
00:44:58.740 other part
00:44:59.120 in the
00:44:59.380 Mojave
00:44:59.720 desert
00:45:00.060 you're
00:45:00.980 going to
00:45:01.160 get
00:45:01.340 way
00:45:01.880 different
00:45:02.280 results
00:45:02.940 has nothing
00:45:04.580 whatsoever
00:45:05.000 to do
00:45:05.400 with
00:45:05.700 the
00:45:06.180 genetic
00:45:06.480 content
00:45:06.940 of
00:45:07.200 the
00:45:07.380 corn
00:45:07.600 right
00:45:08.180 right
00:45:08.940 a more
00:45:10.420 general
00:45:10.740 way
00:45:10.980 to
00:45:11.220 talk
00:45:11.820 about
00:45:12.000 this
00:45:12.200 is
00:45:12.380 when
00:45:12.900 genes
00:45:13.240 are
00:45:13.380 identical
00:45:13.840 any
00:45:14.380 differences
00:45:14.860 you see
00:45:15.440 have to
00:45:15.960 be due
00:45:16.300 to
00:45:16.440 environment
00:45:16.920 and when
00:45:17.400 environment
00:45:18.080 is identical
00:45:18.820 any
00:45:19.120 differences
00:45:19.460 you see
00:45:19.840 have to
00:45:20.200 be due
00:45:20.440 to
00:45:20.580 genes
00:45:20.880 yeah
00:45:21.620 that
00:45:22.880 mean
00:45:23.000 that
00:45:23.200 going
00:45:24.060 through
00:45:24.240 my
00:45:24.420 head
00:45:24.620 are
00:45:24.720 things
00:45:24.920 like
00:45:25.080 measurement
00:45:25.420 error
00:45:25.760 and
00:45:25.920 this
00:45:26.060 and
00:45:26.200 that
00:45:26.280 and
00:45:26.340 the
00:45:26.420 other
00:45:26.540 thing
00:45:26.780 but
00:45:27.020 your
00:45:27.460 basic
00:45:27.780 point
00:45:28.020 is
00:45:28.160 correct
00:45:28.420 right
00:45:28.700 so
00:45:30.120 and there
00:45:31.980 are many
00:45:32.500 other
00:45:32.720 things
00:45:33.080 that
00:45:33.340 IQ
00:45:33.840 is
00:45:34.200 correlated
00:45:34.640 with
00:45:35.020 high IQ
00:45:36.740 is
00:45:36.960 correlated
00:45:37.240 with
00:45:37.480 things
00:45:37.660 like
00:45:37.820 liberal
00:45:38.120 values
00:45:38.860 and
00:45:39.560 things
00:45:40.560 like
00:45:40.700 being
00:45:40.840 less
00:45:41.340 racist
00:45:41.780 and
00:45:42.200 less
00:45:42.460 authoritarian
00:45:43.060 and
00:45:43.480 less
00:45:43.760 sexist
00:45:44.480 even
00:45:45.200 less
00:45:45.440 religious
00:45:45.940 in
00:45:46.260 particular
00:45:47.020 less
00:45:47.340 fundamentalist
00:45:48.080 in
00:45:48.240 your
00:45:48.560 religiosity
00:45:49.180 now
00:45:50.120 that's
00:45:50.340 not
00:45:50.460 to
00:45:50.600 say
00:45:50.740 that
00:45:50.900 there
00:45:51.000 are
00:45:51.080 not
00:45:51.240 exceptions
00:45:51.680 to
00:45:51.980 every
00:45:52.440 trend
00:45:52.800 we
00:45:52.960 would
00:45:53.100 talk
00:45:53.320 about
00:45:53.520 so
00:45:53.640 I'm
00:45:53.760 sure
00:45:53.920 you
00:45:54.080 can
00:45:54.220 find
00:45:54.560 a
00:45:54.760 racist
00:45:55.260 sexist
00:45:56.160 Bible
00:45:56.980 thumping
00:45:57.320 genius
00:45:57.720 somewhere
00:45:58.120 but
00:45:59.000 there
00:45:59.360 won't
00:45:59.540 be
00:45:59.680 as
00:45:59.800 many
00:46:00.000 of
00:46:00.160 these
00:46:00.300 people
00:46:00.580 and
00:46:01.860 the
00:46:03.260 link
00:46:03.540 between
00:46:03.880 IQ
00:46:04.180 and
00:46:04.520 traits
00:46:05.020 like
00:46:05.200 that
00:46:05.400 are
00:46:05.760 also
00:46:06.300 strong
00:46:06.860 but
00:46:07.080 stronger
00:46:07.900 for
00:46:08.180 some
00:46:08.360 others
00:46:08.640 but
00:46:09.520 again
00:46:09.740 there's
00:46:10.720 this
00:46:10.900 one
00:46:11.600 piece
00:46:12.060 which
00:46:12.340 is
00:46:12.740 IQ
00:46:13.680 itself
00:46:14.500 having
00:46:14.820 nothing
00:46:15.100 to do
00:46:15.400 with
00:46:15.560 race
00:46:16.020 has
00:46:16.700 been
00:46:17.100 a
00:46:17.940 somewhat
00:46:18.220 taboo
00:46:18.720 topic
00:46:19.280 particularly
00:46:19.940 on the
00:46:20.420 left
00:46:20.820 politically
00:46:21.700 but
00:46:21.980 what's
00:46:22.200 interesting
00:46:22.460 is that
00:46:22.720 it
00:46:22.960 wasn't
00:46:23.220 always
00:46:23.480 the
00:46:23.660 case
00:46:23.880 because
00:46:24.240 the
00:46:24.940 left
00:46:25.220 used
00:46:25.460 to
00:46:25.600 be
00:46:26.080 kind
00:46:27.220 of
00:46:27.380 boosterish
00:46:28.100 about
00:46:28.520 IQ
00:46:28.880 testing
00:46:29.320 because
00:46:29.620 it
00:46:29.820 seemed
00:46:30.080 to
00:46:30.280 promise
00:46:30.680 a
00:46:30.900 direct
00:46:31.260 road
00:46:31.640 to
00:46:31.860 meritocracy
00:46:32.500 it
00:46:32.680 would
00:46:32.780 get
00:46:33.020 us
00:46:33.200 out
00:46:33.580 of
00:46:33.780 these
00:46:34.160 class
00:46:34.680 differences
00:46:35.240 and
00:46:35.920 people
00:46:36.160 could
00:46:36.320 just
00:46:36.500 be
00:46:36.720 judged
00:46:37.140 on
00:46:37.300 their
00:46:37.400 own
00:46:37.560 merits
00:46:37.920 that
00:46:38.520 that's
00:46:38.580 that's
00:46:38.600 why
00:46:38.680 the
00:46:38.820 SAT
00:46:39.140 was
00:46:39.400 invented
00:46:39.740 the
00:46:40.220 SAT
00:46:40.660 was
00:46:41.440 going
00:46:42.640 to
00:46:42.940 be
00:46:43.340 and
00:46:43.620 in
00:46:43.760 fact
00:46:44.200 it
00:46:44.940 did
00:46:45.280 serve
00:46:45.540 this
00:46:45.760 function
00:46:46.160 it
00:46:46.960 would
00:46:47.140 be
00:46:47.360 a
00:46:47.540 way
00:46:47.860 for
00:46:48.260 kids
00:46:48.760 who
00:46:49.020 did
00:46:49.200 not
00:46:49.400 go
00:46:49.580 to
00:46:49.720 Groton
00:46:50.040 and
00:46:50.420 Exeter
00:46:51.100 and
00:46:51.280 the
00:46:51.380 rest
00:46:51.580 of
00:46:51.720 it
00:46:51.860 to
00:46:52.620 get
00:46:54.140 a
00:46:55.420 chance
00:46:55.640 to show
00:46:56.020 how
00:46:56.380 smart
00:46:57.080 they
00:46:57.260 were
00:46:57.500 and
00:46:58.220 they
00:46:58.420 could
00:46:58.560 be
00:46:58.700 brought
00:46:58.920 into
00:46:59.100 the
00:46:59.260 colleges
00:46:59.660 and
00:47:00.220 Harvard
00:47:00.660 in
00:47:01.060 particular
00:47:01.560 and
00:47:02.060 its
00:47:02.360 Conant
00:47:03.360 its
00:47:03.660 president
00:47:04.040 back
00:47:04.380 in
00:47:04.580 the
00:47:05.080 1940s
00:47:06.060 were
00:47:06.260 very
00:47:06.520 hot
00:47:06.860 on
00:47:07.200 using
00:47:07.540 tests
00:47:07.900 for
00:47:08.060 precisely
00:47:08.380 that
00:47:08.620 purpose
00:47:08.900 and
00:47:09.460 by
00:47:09.680 the
00:47:09.780 way
00:47:10.040 I
00:47:11.620 went
00:47:11.780 to
00:47:11.900 Harvard
00:47:12.160 in
00:47:12.780 1961
00:47:13.760 which
00:47:14.740 pretty
00:47:14.940 well
00:47:15.160 dates
00:47:15.400 me
00:47:15.800 from
00:47:16.320 Newton
00:47:17.200 Iowa
00:47:17.540 and
00:47:18.840 I
00:47:19.400 was
00:47:20.020 absolutely
00:47:20.540 convinced
00:47:20.960 that I
00:47:21.280 got in
00:47:21.680 because
00:47:21.940 I
00:47:22.160 was
00:47:22.320 able
00:47:22.540 to
00:47:22.660 take
00:47:22.800 an
00:47:22.900 SAT
00:47:23.180 score
00:47:23.600 and
00:47:23.740 get
00:47:23.860 a
00:47:23.960 good
00:47:24.080 score
00:47:24.380 even
00:47:24.600 though
00:47:24.760 I
00:47:24.900 went
00:47:25.060 to
00:47:25.180 a
00:47:25.580 mediocre
00:47:25.920 public
00:47:26.320 school
00:47:26.700 sorry
00:47:27.340 about
00:47:27.600 that
00:47:27.820 Newton
00:47:28.040 high
00:47:28.220 school
00:47:28.400 and
00:47:29.920 in
00:47:30.940 that
00:47:31.220 sense
00:47:31.660 the
00:47:32.740 enthusiasm
00:47:33.340 for
00:47:33.860 IQ
00:47:35.080 appropriate
00:47:35.520 insofar
00:47:36.740 as
00:47:37.040 it's
00:47:37.340 a
00:47:37.520 good
00:47:37.760 way
00:47:38.060 to
00:47:38.320 identify
00:47:39.200 intellectual
00:47:39.760 talent
00:47:40.160 but
00:47:40.760 at
00:47:40.880 this
00:47:41.060 point
00:47:41.320 Sam
00:47:41.620 it's
00:47:41.880 almost
00:47:42.300 as
00:47:42.600 if
00:47:42.920 we
00:47:44.100 are
00:47:44.420 in
00:47:44.640 the
00:47:44.820 opposite
00:47:45.220 position
00:47:45.800 of
00:47:46.080 conventional
00:47:46.620 wisdom
00:47:47.200 versus
00:47:47.640 elite
00:47:48.080 wisdom
00:47:48.500 that
00:47:49.340 we
00:47:49.520 were
00:47:49.880 say
00:47:50.240 when
00:47:50.460 Columbus
00:47:50.900 was
00:47:51.300 going
00:47:51.640 to
00:47:51.740 sail
00:47:51.920 to
00:47:52.180 America
00:47:52.860 when
00:47:53.100 Columbus
00:47:53.700 was
00:47:53.900 going
00:47:54.040 to
00:47:54.140 sail
00:47:54.320 to
00:47:54.540 America
00:47:54.980 it
00:47:55.580 is
00:47:55.800 true
00:47:56.060 that
00:47:56.300 an
00:47:56.460 awful
00:47:56.680 lot
00:47:56.920 of
00:47:57.040 the
00:47:57.160 ordinary
00:47:57.460 people
00:47:57.880 still
00:47:58.220 thought
00:47:58.520 that
00:47:58.700 the
00:47:58.860 earth
00:47:59.000 was
00:47:59.180 flat
00:47:59.500 but
00:48:00.500 among
00:48:00.900 the
00:48:01.100 elites
00:48:01.460 it
00:48:01.640 was
00:48:01.820 understood
00:48:02.300 that
00:48:02.560 the
00:48:02.740 earth
00:48:02.940 is
00:48:03.180 round
00:48:04.220 well
00:48:05.580 now
00:48:06.140 it
00:48:06.580 is
00:48:07.080 ordinary
00:48:08.120 people
00:48:08.760 are
00:48:10.260 perfectly
00:48:10.580 comfortable
00:48:11.020 with the
00:48:11.320 idea
00:48:11.720 that
00:48:12.100 some
00:48:12.280 people
00:48:12.500 are
00:48:12.640 smarter
00:48:12.900 than
00:48:13.120 others
00:48:13.480 they're
00:48:14.440 perfectly
00:48:14.720 comfortable
00:48:15.240 that
00:48:15.580 what
00:48:16.340 we call
00:48:17.260 smart
00:48:17.780 gets you
00:48:19.100 kinds of
00:48:19.520 jobs
00:48:19.860 you can't
00:48:20.320 get
00:48:20.480 otherwise
00:48:20.820 all that
00:48:21.320 kind of
00:48:21.560 stuff
00:48:21.860 it's
00:48:22.660 the
00:48:22.820 elites
00:48:23.320 who
00:48:23.520 are
00:48:23.660 under
00:48:23.880 the
00:48:24.060 impression
00:48:24.540 that
00:48:25.160 oh
00:48:25.460 IQ
00:48:25.840 tests
00:48:26.300 only
00:48:26.600 measure
00:48:27.100 what
00:48:27.520 IQ
00:48:27.860 tests
00:48:28.240 measure
00:48:28.660 and
00:48:29.160 nobody
00:48:29.460 really
00:48:29.760 is
00:48:29.960 able
00:48:30.140 to
00:48:30.300 define
00:48:30.680 intelligence
00:48:31.340 and
00:48:31.860 this
00:48:32.180 and
00:48:32.400 that
00:48:32.620 they're
00:48:33.000 culturally
00:48:33.640 biased
00:48:34.160 on and
00:48:35.020 on and
00:48:35.320 on and
00:48:35.600 on
00:48:35.900 and all
00:48:36.920 of these
00:48:37.300 things
00:48:37.620 are the
00:48:37.960 equivalent
00:48:38.360 of saying
00:48:38.820 the earth
00:48:39.160 is flat
00:48:39.680 these are
00:48:40.860 not
00:48:41.300 opinions
00:48:42.320 that you
00:48:42.940 can hold
00:48:43.740 in
00:48:44.200 in contest
00:48:45.380 with the
00:48:46.140 scientific
00:48:46.540 literature
00:48:47.100 any more
00:48:48.240 than you
00:48:48.900 can be
00:48:50.160 an
00:48:50.340 Aristotelian
00:48:51.140 physicist
00:48:51.780 in
00:48:52.480 contradistinction
00:48:53.220 to a
00:48:53.580 Newtonian
00:48:53.960 physicist
00:48:54.400 this
00:48:55.100 stuff
00:48:55.540 is
00:48:55.780 not
00:48:56.120 subject
00:48:56.680 to
00:48:57.420 debate
00:48:57.680 anymore
00:48:58.120 but
00:48:58.680 the
00:48:58.880 elite
00:48:59.740 wisdom
00:49:00.200 now
00:49:00.620 in
00:49:01.020 colleges
00:49:01.400 is
00:49:01.940 a lot
00:49:02.780 of
00:49:02.860 your
00:49:02.980 listeners
00:49:03.360 are
00:49:04.440 saying
00:49:05.140 what
00:49:05.380 I'm
00:49:05.700 saying
00:49:06.060 is
00:49:06.320 pseudoscience
00:49:07.120 it's
00:49:08.000 very
00:49:08.180 frustrating
00:49:08.720 yeah
00:49:08.980 you just
00:49:09.280 referenced
00:49:09.660 two
00:49:09.880 things
00:49:10.180 which
00:49:10.380 I
00:49:10.600 think
00:49:10.800 are
00:49:10.920 widely
00:49:11.320 believed
00:49:11.920 which
00:49:12.800 are
00:49:13.140 certainly
00:49:13.880 known
00:49:14.240 to be
00:49:14.560 false
00:49:14.920 and
00:49:15.120 were
00:49:15.440 known
00:49:15.680 to be
00:49:15.940 false
00:49:16.220 at the
00:49:16.460 time
00:49:16.720 you
00:49:16.860 wrote
00:49:17.020 your
00:49:17.180 book
00:49:17.420 again
00:49:17.660 more
00:49:17.860 than
00:49:18.000 20
00:49:18.340 years
00:49:18.560 ago
00:49:18.780 and
00:49:19.480 the
00:49:19.640 first
00:49:20.060 claim
00:49:20.280 is
00:49:20.400 that
00:49:20.640 IQ
00:49:24.400 tests
00:49:25.160 yeah
00:49:25.660 that
00:49:26.280 is
00:49:26.560 a
00:49:27.260 shibboleth
00:49:28.040 that
00:49:28.220 is
00:49:28.460 rattling
00:49:29.360 around
00:49:29.640 the
00:49:29.780 brains
00:49:30.100 of
00:49:30.400 certainly
00:49:30.840 many
00:49:31.140 of
00:49:31.280 our
00:49:31.400 listeners
00:49:31.720 no
00:49:32.620 one
00:49:32.920 in
00:49:33.380 touch
00:49:33.600 with
00:49:33.740 the
00:49:33.880 literature
00:49:34.180 has
00:49:34.520 thought
00:49:34.820 that
00:49:35.200 was
00:49:35.480 true
00:49:35.860 for
00:49:36.360 a
00:49:37.140 generation
00:49:37.640 and
00:49:38.640 then
00:49:38.740 there's
00:49:38.880 the
00:49:39.000 idea
00:49:39.380 that
00:49:39.900 these
00:49:40.780 tests
00:49:41.220 are
00:49:41.780 well
00:49:42.780 known
00:49:43.200 to be
00:49:43.780 culturally
00:49:44.560 biased
00:49:45.200 so
00:49:45.500 that
00:49:45.760 you
00:49:46.020 just
00:49:46.240 cannot
00:49:46.520 get
00:49:46.980 valid
00:49:47.400 data
00:49:47.740 on
00:49:47.960 certain
00:49:48.200 groups
00:49:48.520 and
00:49:48.720 this
00:49:49.240 is
00:49:49.500 something
00:49:49.920 we've
00:49:50.140 never
00:49:50.300 been
00:49:50.460 able
00:49:50.620 to
00:49:50.760 overcome
00:49:51.280 that
00:49:52.160 also
00:49:52.520 is
00:49:53.160 not
00:49:54.400 opinion
00:49:54.860 of
00:49:55.360 psychometricians
00:49:56.800 anywhere
00:49:57.500 is that
00:49:57.900 correct
00:49:58.480 yeah
00:49:58.860 and let's
00:49:59.540 let me
00:49:59.940 describe a little bit
00:50:01.100 why we know
00:50:01.920 those two things
00:50:02.780 in terms of
00:50:04.220 why we know
00:50:04.960 that IQ tests
00:50:05.900 measure something
00:50:06.980 not the ability
00:50:07.840 to take IQ tests
00:50:08.920 it's a matter
00:50:09.940 if you'd like to
00:50:11.880 continue listening
00:50:12.480 to this conversation
00:50:13.340 you'll need to
00:50:14.320 subscribe at
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