I’ve discussed this before but given that I now have better data on the old SAT, I thought I’d revisit it.

Because the SAT has generally only been given to the college bound elite, nobody really knows how well it correlates with IQ in the general U.S. population.

But because it’s generally assumed that roughly 100% of Americans capable of scoring very high on the SAT actually take the SAT, I decided that the best way to estimate the SAT’s correlation with IQ among all American young adults is to find a subset of Americans selected for extremely high SAT scores and then see how they score on official IQ tests.

Because people selected for high SAT scores will regress to the U.S. mean on IQ in direct proportion with the correlation between the SAT and IQ in the full U.S. population (if all Americans young adults took the test), I use the degree to which they regress as an estimate for said correlation (assuming a bivariate normal distribution).

Perhaps the single best study was referred to me by a commenter named Andrew.  In this study, data was taken from the older more difficult SAT, and participants took the full-original WAIS.  In this study, six samples of  seniors from  the extremely prestigious Dartmouth (the 12th most selective university in America) averaged 1357 on the SAT just before 1974. Based on my latest research, an SAT score of 1357 if all American 17-year-olds circa 1974  had taken the SAT, the mean score would have been 770 (SD = 223) which means 1357 would have equated to an IQ of 139 (U.S. norms); 138 (U.S. white norms).

Assuming these students are typical of high SAT Americans, it is interesting to ask how much they regress to the mean on various subtests of the WAIS.

Averaging all six samples together, and then adjusting for the yearly Flynn effect from the 1950s through the 1970s (see page 240 of Are We Getting Smarter?) since the WAIS was normed circa 1953.5 but the students were tested circa 1971.5, then converting subtest scaled scores to IQ equivalents, in both U.S. norms and U.S. white norms (the 1953.5 norming of the WAIS included only whites), we get the following:

Conclusion

The degree of regression from the SAT to the WAIS in an extreme sample suggests a 0.59 correlation between the two tests in the general U.S. population.

The SAT seems to be a reasonable proxy for verbal IQ (an implied correlation of 0.67) but only a moderate proxy for performance IQ (an implied correlation of 0.41). There are generations of visually brilliant people who did not get into a good college thanks to the SAT, but nonetheless may have earned high incomes as artists, tradesmen, fashion designers and film makers.

Not surprisingly, the SAT correlated best with the Information and Vocabulary subtests (implied correlations of 0.73 and 0.66 respectively) since these are direct measures of facts taught in school.

The real question is how well does the SAT correlate with g (the general factor of IQ tests)

Arthur Jensen argued that the correlation between two tests is a product of their factor loadings, so if the WAIS correlates 0.9 with g, and correlates 0.59 with the SAT, then the SAT should correlate 0.59/0.9 = 0.66 with g.

However since the SAT and WAIS share other factors besides just g (i.e. verbal), then 0.66 might overestimate the g loading.

On the other hand some would argue that deducing the regression slope from only high ability people might underestimate the correlation between the SAT and WAIS (ceiling bumping, Spearman’s Law of Diminishing Returns), and correcting WAIS scores for the Flynn effect might be overcorrections particularly at the high end.

Perhaps both factors cancel out, leaving 0.66 as a good estimate of the SAT’s g loading in the general U.S. population.

Is the SAT an IQ test?

If one defines an IQ test as any psychometric test with a high g loading in a general national or global population, and if one defines a high g loading as 0.7+, I’d say the SAT is a borderline IQ test.

For years he towered as the Lion of the Blogosphere.  So much so that he named himself the Lion of the Blogosphere.  Despite his prole upbringing in Staten Island, 800 years of selective breeding for high Ashkenazi intelligence in Europe had given him a genius IQ of 145 and the Ivy League degree to go with it.  Thousands of readers flocked to his blog for keen insights and shrewd logic.

But not even 800 years of extreme natural selection could have prepared him for the genius gestating in his own comment section.  He was kind enough to promote my blog, but not even he could have imagined that not only would I match him in audience, but rank twice as high!

Today I rank as the 666,397th most popular web site on the planet.

While Lion ranks as the 1,356,401th most popular

Not since Oprah overtook Donahue in the talk show ratings 32 years ago have we seen such a stunning upset.  In a desperate attempt to stay relevant in a ferociously competitive market, Lion has been reduced to sensational headlines like “I support child sex dolls”

Reminds me of when Donahue donned a dress and interviewed male strippers in a desperate attempt to compete with Oprah.

Nothing worked, because to quote Oprah “the difference between Donahue and me, is ME!”

The difference between Lion and me, is ME!

[please place all off-topic comments in the most recent open-thread.  They will not be published here]

Despite conservative claims that blacks benefit from affirmative action, a recent meta-analysis of 56,000 job applications found that whites are still getting 24%  more callbacks than Hispanics, and an incredible 36% more than blacks!

This despite the fact that the resumes were identical, except for race.

Northwestern professor Lincoln Quillian explained:

The vast majority of studies used names to do so – “Lakisha” and “Jamal” versus “Emily” or “Brandon” would be the kind of names that signal race and ethnicity. They found out that Emily and Brandon get significantly more callbacks for job interviews than Lakisha and Jamal do.
A few studies do put on an HBCU [historically black college or university] or some kind of mention of them in the Black Students Association or something like that as a kind of additional signal of race or ethnicity. Some studies used in-person applications by trained tester pairs of white and black applicants. In these studies, race or ethnicity was indicated by appearance.

My only quibble with the research is that names like Lakisha not only sound black, but also ghetto, so how do they know if this is race discrimination per se, or just class discrimination?

Perhaps the studies using in-person applicants are better.

But it’s hard to believe anti-black job discrimination could be so pervasive when other research shows that controlling for IQ, the black-white wage gap closes and blacks are more likely to land high IQ jobs.

Source: The Bell Curve by R. Herrnstein and C. Murray

Source: The Bell Curve by R. Herrnstein and C. Murraya caption

On the other hand, if IQ tests are also unfairly discriminating against blacks to some degree,  then the paradox is resolved because blacks will typically be smarter than their test scores suggest, in which case controlling for IQ ≠ controlling for intelligence.

But one problem with this argument is Herrnstein and Murray argued that IQ tests are not biased against blacks because if they were, blacks would overperform their scores, which they apparently do not:

For job performance, the most thorough analysis is provided by the Hartigan Report, assessing the relationship between the General Aptitude Test Battery (GATB) and job performance measures. Out of seventy-two studies that were assembled for review, the white intercept was higher than the black intercept in sixty of them – that is, the GATB overpredicted black performance in sixty out of the seventy-two studies. Of the twenty studies in which the intercepts were statistically significantly different (at the .01 level), the white intercept was greater than the black intercept in all twenty cases.

Please place all off-topic comments in this thread.  They will not be posted in the main article.

So we’re all very sad to hear about the tragic death of Anthony Bourdain

On a brighter note, this week Oprah officially became a historical figure with her own massive museum exhibit.

As the first multibillionaire descendent of black slaves, and someone who completely dominated U.S. culture for decades, the exhibit seems overdue.  Back in 1986, the idea of a black woman having the #1 talk show in America was groundbreaking, and it’s amazing to see how racism dropped dramatically during her reign from 1986-2011 (hat-tip to Afro for finding the chart):

In other news, the trailer for the new Halloween movie is out.  Can’t wait to see this.  Love the fact that it actually looks like Fall in the Midwest (not like in the original which was filmed in Pasadena, California) and love the fact that Myers has been in a mental hospital in the 40 years since the original film ended.

I wonder if it would have been possible to administer him an IQ test (a non-verbal one since he doesn’t talk or read, but perhaps he could point to right answers or manipulate blocks-though his motor movements are slow as hell). The closet scene and the end of the trailer is freaky.

Finally, a fascinating discussion between Joe Rogan and Roseanne:

It’s well known that chimps and bonobos have much larger overall genitalia size than humans, but most people think this is only because of their colossal testicular size (triple that of humans).

Source

However it seems that chimps also have longer penises than non-African humans, and bonobos have much longer penises than all human races!

According to an article in Psychology Today, bonobos have an erect penis length of 6.8 inches, followed by chimps at 5.8 inches.

Source unknown

By contrast, human racial data found by commenter Afrosapiens shows peoples of African ancestry averaging an erect penis size of 5.81 inches, followed by whites at 5.71 inches, and East Asians at 5.08 inches (though it’s worth noting that human penis size data is notoriously unreliable)

So even before adjusting for their much smaller heights, our closest ape relatives have far bigger male genitalia than most humans do, both in testicle size and in penis length. Though humans have thicker penises.

Sex is such a dominant part of human life that it’s fascinating to think that our closest ape relatives (with triple our testicle size) experience triple our sex drive.  Despite having an average IQ of only 14, they probably wouldn’t trade places with humans because it would mean giving up a sex life so intense and extreme, us humans can’t even imagine it.

The following chart (created by some scientist(s) led by David Reich) shows the genetic divergence between hominin samples as a fraction of the human-chimp difference.  So for example, all the human groups have just over a 0.12 genetic divergence with Neanderthals, meaning that the genetic difference between humans and Neanderthals is only 12% as great as the genetic difference between humans and Chimps (source: supplement of Genetic history of an archaic hominin group from Denisova Cave in Siberia.)

The purpose of the chart is to estimate how long ago the different populations diverged from a common ancestor.  So since the fossil record tells us that Neanderthals and chimps diverged about 6.5 million years, then humans and Neanderthals should have diverged roughly 0.8 million years ago (12% of 6.5 million) assuming genetic divergence maps to chronological divergence in a linear way:

The above numbers make no sense to me (how could the Han and the French have separated 404 kya when the ancestors of both didn’t even leave Africa until 50 kya?).

Nonetheless, it seems to me that if you can estimate chronological divergence from genetic divergence, why not cognitive divergence?

Since I know that chimps and people of European ancestry differ by about 86 IQ points, then we can estimate how much each of these populations should differ in IQ from whites based on their genetic divergence as a percentage of the white-chimp divergence.

Using the French as the representatives for white people, we see from table S6.2 that the genetic gaps between whites and Han, Papuan, San, Yoruba, Neanderthals, and Denisovans  are 0.0622, 0.0660, 0.0907, 0.0812, 0.1218, and 0.1255 respectively.

Multiplying these fractions by the 86 point IQ gap between Chimps and European ancestry people, we get the following expected IQ gaps:

Han-white IQ gap: 5 points

Papuan-white IQ gap: 6 points

San-white IQ gap:  8 points

Yoruba-white IQ gap: 7 points

Neanderthal-white IQ gap: 10 points

Denisovan-white IQ gap: 11 points

These estimated IQ gaps are much smaller than the actual IQ gaps in most cases, suggesting that IQ tests are measuring a lot of non-genetic factors.

The second point is that the expected IQ gaps between white and non-white humans is not that much smaller than the expected IQ gap between whites and Neanderthals.  From a genetic perspective, Neanderthals could be just another human race, only slightly more divergent than the San, however from a morphological perspective, they’re clearly not human.

Since whites by definition have an average IQ of 100, and if we make the huge assumption that all non-white groups with the exception of Han have lower genetic IQs than whites, we get the following the figures:

Han average IQ 105
Whites average IQ 100
Papuans average IQ 94
Yoruba average IQ 93
San average IQ 92
Neanderthals average IQ 90
Denisovans average IQ 89

From these numbers we might conclude that it takes a genetic IQ of at least the mid 90s to independently invent agriculture (since everyone below that level failed to do so) and a genetic IQ of at least the high 90s to independently create civilization (since only Caucasoids and Mongoloids are credited with having done that).