I have treated intelligence many times; for example:

Positive Rights and Cosmic Justice: Part IV
Race and Reason: The Achievement Gap — Causes and Implications
“Wading” into Race, Culture, and IQ
The Harmful Myth of Inherent Equality
Bigger, Stronger, and Faster — But Not Quicker?
The IQ of Nations
Some Notes about Psychology and Intelligence
“Science” vs. Science: The Case of Evolution, Race, and Intelligence
More about Intelligence
Not-So-Random Thoughts (XXI), fifth item
Intelligence and Intuition
Intelligence, Personality, Politics, and Happiness
Intelligence As a Dirty Word

These posts include and link to an abundance of supporting material. The additional material given below consists of quotations from the cited sources. The quotations (and sources) are consistent with and confirm several points made in the earlier posts:

  • Intelligence has a strong genetic component; it is heritable.
  • Race is a real manifestation of genetic differences among sub-groups of human beings. Those subgroups are not only racial but also ethnic in character.
  • Intelligence therefore varies by race and ethnicity, though it is influenced by environment.
  • Specifically, intelligence varies in the following way: There are highly intelligent persons of all races and ethnicities, but the proportion of highly intelligent persons is highest among Ashkenazi Jews, followed in order by East Asians, Northern Europeans, Hispanics (of European/Amerindian descent), and sub-Saharan Africans — and the American descendants of each group.
  • Males are disproportionately represented among highly intelligent persons, relative to females. Males have greater quantitative skills (including spatio-temporal aptitude) relative to females; whereas, females have greater verbal skills than males.
  • Intelligence is positively correlated with attractiveness, health, and longevity.
  • The Flynn effect (rising IQ) is a transitory environmental effect brought about by environment (e.g., better nutrition) and practice (e.g., learning and application of technical skills). The Woodley effect is (probably) a long-term dysgenic effect among people whose survival and reproduction depends more on technology (devised by a relatively small portion of the populace) than on the ability to cope with environmental threats (i.e., intelligence).


Researchers of group differences have pointed out until they are blue in the face that believing in equal rights is not contingent on believing all people are born with the same abilities and that merely by discussing the causes of group differences in mean IQ they are not intending to question the moral basis for sexual or racial equality. You can believe that there are between-group IQ differences – you can even believe that these differences are 80% heritable – and still remain committed to equal rights….

But anti-hereditarians seem to have extraordinary difficulty grasping this point – it is as if they want their opponents to be making this false inference even though, by imagining this sin, they are unconsciously committing it themselves. If you argue that any research into group differences is ‘dangerous’ because it threatens to undermine the basis for equal rights, you are implicitly accepting the twisted logic of the racist’s argument, namely, that if people aren’t equal in their capabilities, then we would be justified in denying some groups their civil rights. It is this inference that is racist, not any claim about group differences, whether true or not, and it is not one that most intelligence researchers are guilty of. No doubt some hereditarians are racists, but then the beliefs of some cultural determinists are pretty toxic too, such as Joseph Stalin, Chairman Mao and Pol Pot.

Source: Toby Young, “Liberal Creationism“,
, January-February 2018

Where are we now, in the continuing story of the genetics of intelligence? Usually, one goes to a meta-analysis to discern the pattern of results.

A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence. W. D. Hill, R. E. Marioni, O. Maghzian, S. J. Ritchie, S. P. Hagenaars, A. M. McIntosh, C. R. Gale, G. Davies & I. J. Deary….

Seven novel biological systems associated with intelligence differences were found.

1 Neurogenesis, the process by which neurons are generated from neural stem cells.
2 Genes expressed in the synapse, consistent with previous studies showing a role for synaptic plasticity.
3 Regulation of nervous system development.
4 Neuron projection
5 Neuron differentiation
6 Central nervous system neuron differentiation.
7 Oligodendrocyte differentiation.

In addition to these novel results, the finding that regulation of cell development (gene-set size = 808 genes, P-value 9.71 × 10−7) is enriched for intelligence was replicated.

In summary, if further proof were needed that these bits of the genetic code were associated with brainpower, the list homes in on everything likely to be required for a fast-thinking powerful biological system.

They canter to a conclusion:

We found 187 independent associations for intelligence in our GWAS, and highlighted the role of 538 genes being involved in intelligence, a substantial advance on the 18 loci previously reported.

Source: James Thompson, “More Genes for Intelligence: A Pattern Emerges“,
The Unz Review
, March 16, 2018

For the first time, scientists have discovered that smart people have bigger brain cells than their peers.

As well as being bulkier, the cells are better connected to their neighbours, allowing them to process more information at a faster rate….

The study is the first to ever show that the  physical size and structure of brain cells is related to a person’s intelligence levels.

Christof Koch at the Allen Institute for Brain Science in Seattle told New Scientist:  ‘We’ve known there is some link between brain size and intelligence. The team confirm this and take it down to individual neurons.”

Source: Joe Pinkstone, “Secret to Intelligence? New Link between Brain Cell Size and IQ May Help Scientists Find a Way to Enhance Human Intellect“,
, May 2, 2018

I`ve accumulated recent data on the average scores by race for five exams: the GRE for grad school, the LSAT for law school, the MCAT for medical school, the GMAT for business school, and the DAT for dental school.

To make all the numbers comprehensible, I`ve converted them to show where the mean for each race would fall in percentile terms relative to the distribution of scores among non—Hispanic white Americans….

Thus, for example, on the Graduate Management Admission Test (GMAT), the gatekeeper for the M.B.A. degree, the mean score for whites falls, by definition, at the 50th percentile of the white distribution of scores. The mean score for black test—takers would rank at the 13th percentile among whites. Asians average a little better than the typical white, scoring at the 55th percentile….

If we look at how many people of each group take the test, we can understand the variations in average score a little better.

Thus, for example, whites, who in 2007 made up 61.5 percent of the 20—24—year—old cohort, took 68.7 percent of the GMATs. Blacks took the GMAT at a per capita rate just under half (49 percent) of the white rate. Asians are more than twice (205 percent) as likely as whites to sit the GMAT. Mexicans are only a fifth (18 per cent) as likely.

Source: Steve Sailer, “Graduate School Admissions, Race, and the White Status Game“,
, April 6, 2009

[R]ace IS a social construct. But race does exist. Saying something is a “social construct” can be true and still yet not be really meaningful.

Think of it, the periodic table of chemical elements is a social construct. Do chemical elements then not exist? Or, much more relevant – in fact, exactly like race – Linnaean taxonomy is a social construct. Do kingdoms, classes, species not exist? Race is merely an extension of this.

In reality, genetic analysis can separate human populations into distinct groups. This works at the level of continental groups or even ethnic groups within a continent (or even groups within an ethnicity). At times the progression is smooth, with each group gradually giving way to the next, and at other times, the transition is abrupt….

[F]or those that accept that genetic analysis can indeed separate humanity into distinct populations, they then claim that “race” doesn’t exist because human variation is “clinial”, that is, continuous. Across continents, neighboring groups don’t separate into sharply distinct races but slowly give way to from one group to the next, so they claim. Because of this, the claim is that different racial groups don’t exist….

[T]o say that a “smooth” clinial progression of human differences renders the individual groups non-existent is equivalent to looking at [the visible color spectrum] … and concluding that each individual color does not exist because they smoothly blend into one another. That’s clearly patently ridiculous. Even if the distribution of human groups is continuous (and it often is), that wouldn’t render each group along the distribution non-existent – nor would it render the differences between each group insignificant. That would be tantamount to saying yellow is equivalent to orange.

[Further] the claim that the distribution of human populations is always clinial is not even true. Razib Khan once addressed this….

[Regarding the claim that intelligence and behavioral traits can’t be in any way inherited, because no one has found a “gene for intelligence” or for any behavioral trait]:  This is one of those things that’s not even wrong. It is a red herring, and reflects a fundamental misunderstanding of genetics and what the genes do. Firstly, the genome is not like a shopping list, where there is a 1-to-1 correspondence between each “gene” and some physiological feature. Rather, the genes are like a recipe, and it is only through the complex interaction of all the genes do physical (and hence behavioral) traits emerge….

[I]t is not necessary to know which genetic variants lead to variation in a trait to know that trait variation is affected by genetic variation. That’s like saying that you need to know the names of all the people who work in a factory to know that the people there produce widgets.

As we’ve seen, behavioral genetic methods confirm the very high heritability of intelligence and behavioral traits. “Classic” behavioral genetic methods, such as twin and adoption studies, were enough to establish this by themselves….

[Regarding the claim that non-whites score low on IQ tests because the tests are culturally biased]: No. Indeed, not all non-Whites score below “Whites” (as we’ve see above, hardly a monolithic category itself). East Asians, specifically those from China, Korea, and Japan, tend to outscore Northern Europeans on IQ tests, scoring in the 105 or so range, on average. Ashkenazi Jews also are found to outscore non-Jewish Whites, the former possessing an average IQ around 112. In the case of Blacks (that is, specifically, those of West African descent), they tend to do the best on culture-“loaded” IQ tests, and do significantly worse on more “culture-free” tests like the Raven’s Progressive Matrices (which use test questions like the one seen here). “Fresh off the boat” East Asian immigrants to the West don’t seem to have a problem with either IQ tests or eventual real-world performance….

[Regarding the claim that poverty and/or discrimination are the causes of racial gaps intelligence]: Partly true, mostly false. An adverse environment, especially when we’re talking severe poverty – of the type you find in sub-Saharan Africa today – likely does have a deleterious effect on IQ. Hence, average IQ in sub-Saharan Africa is likely quite a bit lower than it would be under optimum conditions. However, we can’t reduce all racial IQ differences to environmental deprivation.

For one, racial gaps in IQ and achievement persist even in developed countries. Interventions, like Head Start, meant to ameliorate any educational deficits do nothing for the gap, as a comprehensive study by the U.S. government showed. As well, while income is correlated with IQ and educational attainment for all races, the relationship between childhood SES and IQ is different for different racial groups….

[O]n the SAT (which is simply another IQ test), the poorest Whites collectively outscored the wealthiest Blacks. As well, as we see, Blacks whose parents have graduate degrees are matched by Whites whose parents are only high school grads.

Even more interestingly, the group IQ and achievement hierarchy visible in the U.S. is found all over the world. All across the world, Blacks, for example – as a group –  generally do poorly versus Europeans. East Asians and Ashkenazi Jews collectively do well all around the world, better than Northern Europeans do. Across the globe and across very different societies and different economic systems, you see roughly the same pattern you do in the United States. One could attempt to piece together some “cultural” explanation for any particular society, but how to explain this global consistency, then? This is true with populations who have been in these respective countries for many generations, as is the case in Brazil, for instance.

Source: JayMan, “JayMan’s Race, Inheritance, and IQ FAQ (F.R.B.)“,
JayMan’s Blog
, May 4, 2015
(This writer’s style is crude and sometimes ungrammatical, but I have included
this excerpt because the writer has a good command of the
relevant research and has summarized it well.)

Davide Piffer is a 34 year-old Italian anthropologist with a Master’s degree from England’s prestigious Durham University. He has an IQ of over 132. Piffer is currently studying for his PhD at Israel’s Ben Gurion University.

Piffer has written an analysis of a Genome Wide Association Study (GWAS). Putting it in lay terms, his “forbidden paper” explores the correlation between the percentage of people in a country who carry several dozen genetic variants that are significantly associated with very high educational attainment—based on this GWAS— and average national IQ.

National IQs are robust because they correlate very strongly, at about 0.8, with other national measures of cognitive ability, such as international assessment tests. (Intelligence: A Unifying Construct for the Social Sciences, by Richard Lynn and Tatu Vanhanen,  2012) Very high educational attainment is overwhelmingly a function of high IQ.

Piffer found that the correlation between the prevalence of the polygenic score (the average frequency of several genetic variants) in nations and national IQ was 0.9. This, of course, essentially proves that race differences in intelligence are overwhelmingly genetic.

Now, obviously, Piffer needs to get this in a high impact journal: because he deserves to, for his own career advancement, and also so that it can’t be fallaciously dismissed via an appeal to snobbery—not an insignificant factor in academic life.

And this is where the problems have arisen.

In late 2014, Piffer submitted his paper on this subject to the leading journal Intelligence. One would have assumed there’d be no problem, considering that the journal has published numerous articles on race differences in IQ and has even been condemned by SJWs for doing so [Racism is creeping back into mainstream science – we have to stop it, by Angela Saini, The Guardian, January 24, 2018]. But the editor, Doug Detterman, rejected the paper citing the reviews he received.  In fact, only one of two reviewers recommended rejection; the other was extremely positive. Nevertheless, the decision letter read as if both reviews were negative.

In 2015, Piffer re-submitted the paper to Intelligence. He had successfully dealt with all the criticisms, and the paper should have been accepted for publication.

However, in 2016 Detterman stepped down as head of ISIR and was replaced by Richard Haier. With new reviewers and a new editor, it was rejected out of hand.

Piffer doesn’t give up easily, that’s for sure. Tiring of Intelligence, he improved the paper once more, in light of the critical reviews, and sent it to Frontiers in Psychology, another highly-respected journal. It passed the review process after three rounds, with reviewers recommending publication. However, Piffer tells me, “the editor, after sitting on the reviews for three weeks, decided to reject it, overturning the reviewers’ recommendation.”

Piffer adds: “This decision was kind of unprecedented and especially weird for a journal like Frontiers, whose philosophy is based on transparent review and less editorial power.”

Despairing of getting it in anywhere worthwhile, Piffer posted the “forbidden paper” on a pre-print archive [Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?, January 27, 2017]. Still, it’s already been cited by a serious researcher in the field.  [Geographic centrality as an explanation for regional differences in intelligence. by Edward Miller, Mankind Quarterly, Spring 2018]

More recently, Piffer self-published another paper, this time on Rpubs, using data from the latest GWAS carried out on 1.1 million people [Correlation between PGS and environmental variables, ]. It confirms his earlier findings, extending them to 52 populations from all over the globe and showing what he calls “fascinating correlations with latitude and polygenic scores of other traits.”

The top place is occupied by East Asians, followed by Europeans and equatorial people further down. “Geographic or genetic distances don’t explain these findings,” stresses Piffer, “as Austronesians (e.g. Papuans and Melanesians) have scores comparable to Africans, despite being genetically more different from African than are Europeans.”

Similarly, Piffer observes that Native Americans score lower than Europeans, despite being genetically closer to East Asians. This suggests that, after the East Asian-Amerindian split, there were later selective pressures for cognitive abilities among Eurasians.

Nobody can fault the sample size. The latest GWAS boasts an army of 1.1 million people and 2400 genetic variants. Piffer has created a plot with scores for the populations from the Human Genome Diversity Project:


Piffer is now working on getting this into a good journal. He says: “It’s to be hoped that the next editor will have enough intellectual honesty to let my findings see the light of mainstream science.”

Let’s summarize: it has now been effectively proven that racial IQ differences in intelligence are fundamentally genetic. The only counter-argument from our SJW friends is an appeal to authority: “Why hasn’t it been published in a top peer-reviewed journal, then?”

The answer: editors are so frightened of SJWs that they daren’t publish it.

But that won’t suppress results like it used to. Brave academics can simply self-publish their results until an equally brave journal editor can be found.

Postscript: Absurdly, recent developments suggest it is acceptable to note that there is a genetic explanation of the higher incidence of  prostate cancer among some populations e.g, West Africans than in others.

Just not for educational attainment.

Source: Lance Welton, “‘This Will Not Stand’:
Academic Establishment Suppresses Italian Anthropologist’s Proof
That Race IQ Differences Are Genetic — For Now
“,, May 5, 2018

If one accepts the theory that modern humans first evolved in Africa and began colonizing the rest of the world 50,000 to 60,000 years ago, it is obvious that there has been enormous evolutionary change since that time. Zulus and Danes presumably had a common ancestor about the time humans left Africa, but are now so different from each other that standard taxonomies might well classify them as separate species….

People consciously direct the evolution of plants and animals, but [Gregory Cochran and Henry Harpending, writing in The 10,000 Year Explosion,] point out that the process is no different from the rigors of natural selection — just quicker. Much as the race deniers hate to admit it, humans in different environments evolved in sharply different directions. As the authors conclude, “We expect that differences between human ethnic groups are qualitatively similar to those between dog breeds.”

What, however, caused human evolution suddenly to speed up ten to twelve thousand years ago? For Professors Cochran and Harpending, the short answer is “agriculture.” It did so in two ways: by sharply increasing the number of people and by radically changing the environment in which they lived.

More humans meant more children, and therefore more mutations. Most babies are born with about 100 mutations, all but one or two of which are in DNA that does not seem to do anything and therefore have no effect. Those that make a difference are usually harmful or neutral but it is the occasional helpful mutation that drives evolution. Sixty thousand years ago, before the expansion out of Africa, there were perhaps only about 250,000 humans. By the Bronze Age, 3,000 years ago, there were 60 million, so a mutation that would have taken 100,000 years to occur could appear in just 400 years. Evolution was painfully slow among Paleolithic proto-humans because beneficial mutations show up so rarely in tiny populations.

Large populations are therefore a reservoir of new mutations and their size hardly slows down the propagation of good genes. According to the authors, a genetic leg up is like the flu, and can sweep through a population of 100 million in only twice the time it takes to go through a population of just 10,000.

Agriculture also brought perhaps the most dramatic change in the biological and social environment our species has ever experienced. Farming meant that for the first time in their existence Homo sapiens stayed in one place, and could therefore own more things than they could carry with them. They could become wealthier than their neighbors, and had to guard possessions against theft. Farmers could produce more food than their families needed, and this gave rise to commerce, division of labor, artisans, and non-productive elites. This social environment was completely new.

Of particular significance from an evolutionary point of view were the change of diet, domestication of animals, and population densities….

Professors Cochran and Harpending point out that some groups took up farming long before others, and that this explains a lot. Australian aborigines never farmed, and the American Indians of Illinois and Ohio started farming only 1,000 years ago. Both groups never drank alcohol before the white man showed up, and are highly susceptible to alcoholism. Fetal alcohol syndrome is about 30 times more common in these groups than in whites.

Aborigines and American Indians suffer in other ways from only recently having adopted a farming diet. Type 2 diabetes is related to a sensitivity to carbohydrates and a metabolic tendency to obesity. It is four times more prevalent among Aborigines and 2.5 times more prevalent among Navajos than among whites.

Sub-Saharan Africa was also late to take up agriculture — 7,500 years after it arose in the Middle East — and this helps explain why intelligence differences alone do not explain differences in black and white behavior. When the two groups are matched for IQ, blacks are still more likely to be criminal, shiftless, or have illegitimate children. This is probably due in part to the persistence of the smash-and-grab mentality that suits hunters but is gradually bred out of farmers….

The brain has evolved differently among different groups just as have skin color, body type, and facial features. The authors write that there are recent variants of genes that affect synapse formation, axon growth, formation of the layers of the cerebral cortex, and brain growth. “Again, most of these new variants are regional,” they add. “Human evolution is madly galloping off in all directions.”

Sometimes, even what appear to be racial similarities are actually differences that merely resemble each other. The authors point out, for example, that although both Asians and Caucasians have much lighter skins than ancestral Africans, the genetic mechanisms that shut down melanin production are different in the two races. In both Asia and Europe it was useful to let in more sunlight for vitamin D synthesis, but evolution found different ways to do it….

The 10,000 Year Explosion has a long chapter that proposes an explanation for how Ashkenazi Jews became the smartest people in the world. Trading and money-lending were high-IQ jobs, and in 1,000 years, or about 40 generations, European Jews appear to have increased their average IQs by about 12 points.

Jewish intelligence seems to be genetically associated with such diseases as Tay-Sachs, Gaucher’s, and familiar dysautonomia, which are up to 100 times more common among Jews than European gentiles. People with one copy of these genes appear to have an IQ advantage whereas two copies cause the disease. Professors Cochran and Harpending write that over time, advantageous mutations with such dangerous side effects are usually replaced by more benign mutations. The persistence of these odd mutations in Jews suggests they are recent.

One highly speculative but stimulating chapter considers the possibility that Neanderthals might have made crucial genetic contributions to Homo sapiens. There is no doubt that something important happened 30 to 40 thousand years ago. New tools, improved weapons, art, sculpture, and more efficient use of fire made big changes in what was still a Stone Age existence. These changes took place only in Eurasia — nowhere else — and Professors Cochran and Harpending are convinced they would not have come about without some important genetic change.

As it happens, this Stone Age flowering took place during the 10,000 years or so during which modern man and Neanderthals competed against each other in the same territory. Neanderthals are gone and we are not, so it is safe to assume Homo sapiens were superior — perhaps in intelligence, language, or resistance to disease. However, the authors believe there must have been genetic mixing with Neanderthals, and explain that even if just a few Neanderthal genes were useful to modern man, they would have spread through populations while the useless ones were eliminated. “It is highly likely that out of some 20,000 genes, at least a few of theirs [Neanderthal’s] were worth having,” they write. The authors concede that the genetic evidence is inconclusive — Neanderthal DNA is hard to come by — but they cite cases of “introgression,” in which wild species have acquired useful mutations from other populations.

Source: Thomas Jackson, “Science Refutes Orthodoxy — Again“,
American Renaissance, May 2009 (a review of The 10,000 Year Explosion)

Source: James Thompson, “World IQ: Latest Update“,
The Unz Review, May 15, 2018

[W]hat influence does intelligence measured at age 11 have on longevity? The good news is that a standard-deviation increase in IQ score is associated with a 24% decrease in mortality risk. So, at IQ 115 lifespan is 24% longer than average*. This is good news, together with the 60% increase in wages above the average level from an OECD study.

On the wages front, the effect of intelligence had already been shown by Charles Murray in his well-known 1998 “Income inequality and IQ” in which he compared the earnings of one child in a family with that of another sibling, showing that the effect of intelligence was powerful at creating later life differences even between siblings brought up within the same family environment.

Iveson and colleagues have extended the within-family method by linking children in their 1947 national sample to younger siblings in a “Six day” sample, such that they had families tested at the same age with the same Moray House intelligence tests, and longevity measured up to November 2015…..

Here are the results of the contrast between the living and the dead.

Lifespan and IQ
These are scary figures, and worth showing to friends who doubt that IQ has any practical meaning.

Source: James Thompson, “Vita Brevis, Dignitatis Inutilis“,
The Unz Revew, August 30, 2017

Digit Span must be one of the simplest tests ever devised. The examiner says a short string of digits at the rate of one digit a second in a monotone voice, and then the examinee repeats them. The examiner then tries a string which is one digit longer, and continues in this fashion with longer and longer strings of digits until the examinee fails both trials at that particular length. That determines the number of digits forwards.

Then the examiner explains that he will say a string of digits and the examinee has to repeat them backwards, that is, in reverse order. For example, 3 – 7 is to be said back to the examiner as 7 –3. This continues until the examinee fails two trials at a particular length which determines the number of digits backwards.

The test is not only bereft of intellectual content, but is also low on cultural content. Once you have learnt digit names you are ready to do the test. I assume that forwards and backwards are concepts understood by all cultures worthy of the name.

If any group defined in genetic or cultural terms has a particular difficulty with digits backwards this is a strong indicator that they have difficulty with tasks as they get more intellectually demanding. The higher the g loading the more they should differ from brighter groups.

Hence the great interest in the most recent scores, to see if they conform to the usual pattern described by Jensen in the G factor (p. 405, referring to work he did in 1975 with Figueroa, ref on p 614). Over at Human Varieties, Dalliard has tried to replicate those results using data from CNLSY (these are the children of the female participants in NLSY79). Incidentally, this is a great follow-up survey: “My Mummy did your tests before I was born”. Gradually we are getting to understand the transmission of intelligence through the generations.

Dalliard says: “That the black-white gap on forward digits is substantially smaller than on backwards digits is a robust finding confirmed in this new analysis. This poses a challenge to the argument that racial differences in exposure to the kinds of information that are needed in cognitive tests cause the black-white test score gap. The informational demands of the digit span tests are minimal, as only the knowledge of numbers from 1 to 9 is required. Forward digits is a simple memory test assessing the ability to store information and immediately recall it. The informational demands of backwards digits are the same as those of forward digits, but the requirement that the digits be repeated in the reverse order means that it is not simply a memory test but one that also requires mental transformation or manipulation of the information presented.”

Source: James Thompson, “Digit Span: The Modest Little Bombshell“,
The Unz Review
, March 4, 2014

You may recall that I wrote with great enthusiasm about the wonders of digit span, describing it as a modest bombshell. It is a true measure: every additional digit you can remember is of equal unit size to the next, a scaled score with a true zero. Few psychometric measures have that property (a ratio scale level of measurement in SS Steven’s terms), so the results are particularly informative about real abilities, not just abilities in relation to the rubber ruler of normative samples. If there are any differences, including group differences, on such a basic test, then it is likely they are real.

Then last November Gilles Gignac dropped another bombshell. He found that if you looked at total digit span scores since 1923 there was not a glimmer of improvement in this very basic ability. This cast enormous doubt on the Flynn effect being a real effect, rather than an artefact of re-standardisation procedures. Gignac noted that digits forwards and backwards were in opposite directions, but not significantly so.

[Michael A.] Woodley tells me that Gignac’s “substantial and impressive body of normative data on historical means of various measures of digit span covering the period from 1923 to 2008” reveals a hidden finding: the not-very-g-loaded digits forwards scores have gone up and the g-loaded digits backwards scores have gone down. This suggests that the fluffy forwards repetition task has benefitted from secular environmental gains, while the harder reversal task reveals the inner rotting core of a dysgenic society….

Woodley has proposed a co-occurrence model: losses in national IQ brought about by the higher fertility of the less intelligent exist at the same time as IQ gains brought about by more favourable social environments.

Source: James Thompson, “Digit Span Bombshell“,
The Unz Review
, April 3, 2015

Woodley argues that general ability is falling because of dysgenic effects, but also becoming more specialized, which he calls the Co-Occurrence model. Should it be called “Duller but specialized”?

How do these theories fare in the light of a massive new meta-analysis?…

The paper [Peera Wongupparaj et al., “The Flynn Effect for Verbal and Visuospatial Short-Term and Working Memory: A Cross-Temporal Meta-Analysis“, Intelligence, September 2017] is massive in scope, has more study samples than previous publications on this topic, is extremely large with circa 140,000 subjects and is also a massive confirmation of Woodley’s reworking of Gignac’s data, on a far larger scale. It seems that over the last 43 years we have become able to repeat a bit more but manipulate a bit less. We can echo more, and analyze less….

The authors add that the increase on the less g loaded forwards conditions suggests environmental causes including practice effects, while the decrease on the more g loaded backwards conditions suggests dysgenic effects, probably the reduced fertility of brighter persons, but perhaps also an effect of ageing populations….

So, Woodley’s “co-occurrence” model gets a strong confirmation.

Source: James Thompson, “Working Memory Bombshell“,
The Unz Review
, August 13, 2017

In a previous post, I show, using an American sample from the National Longitudinal Study of Adolescent Health, that physically more attractive people are more intelligent. As I explain in a subsequent post, the association between physical attractiveness and intelligence may be due to one of two reasons. Genetic quality may be a common cause for both (such that genetically healthier people are simultaneously more beautiful and more intelligent). Alternatively, the association may result from a cross-trait assortative mating, where more intelligent and higher status men of greater resources marry more beautiful women. Because both intelligence and physical attractiveness are highly heritable, their children will be simultaneously more beautiful and more intelligent. Regardless of the reason for the association, the new evidence suggests that the association between physical attractiveness and general intelligence may be much stronger than we previously thought….

The halo-effect explanation for the association between physical attractiveness and intelligence, however, runs into three different problems. First, it presumes that the judgment of physical attractiveness is arbitrary and subjective. As I explain in an earlier post, however, beauty is not in the eye of the beholder; it is an objective, quantifiable trait of someone like height or weight. Second, as I note in the previous post, the association between beauty and intelligence has been found in the American Add Health sample, where physical attractiveness of the respondents is assessed by the interviewer who is unaware of their intelligence.

Most importantly, however, the halo-effect explanation simply leads to another question: Where does the teachers’ belief that more intelligent students are more attractive come from? The notion that more intelligent individuals are physically more attractive is a stereotype, and, just like all other stereotypes, it is empirically true, as both the American and British data show. Teachers (and everyone else in society) believe that more intelligent individuals are physically more attractive because they are.

Source: Satoshi Kanazawa, “Beautiful People Really Are More Intelligent“,
Psychology Today
, December 12, 2010

In this first whole population birth cohort study linking childhood intelligence test scores to cause of death, in a follow-up spanning age 11-79, we found inverse associations for all major causes of death, including coronary heart disease, stroke, cancer, respiratory disease, digestive disease, external causes of death, and dementia. For specific cancer types the results were heterogeneous, with only smoking related cancers showing an association with childhood ability. In general, the effect sizes were similar for women and men (albeit marginally greater for women), with the exception of death by suicide, which had an inverse association with childhood ability in men but not women. In a representative subsample with additional background data, there was evidence that childhood socioeconomic status and physical status indicators had no more than a modest confounding impact on the observed associations.

Source: Jan J. Deary et al., “Childhood Intelligence in Relation to Major Causes of Death in 68 Year Follow-Up: Prospective Population Study“,
British Medical Journal
, June 28, 2017

Sex differences are in the news. A male Google employee reviewed some of the literature on the topic in the context of his workplace practices, and got sacked. A book questioning the role of testosterone in sex differences, and more generally the veracity of innate biological sex differences, got the Royal Society Science Book prize, though it was not reviewed by Royal Society Fellows expert in that area of knowledge. More generally, there are frequent news items about the lack of women in STEM subjects, in technology jobs and in corporate boardrooms, and these discussions often blame a glass ceiling of misogyny impeding women’s progress. Meanwhile, with rather less publicity, Prof Richard Lynn has revisited his 1994 paper in the light of recent research, and invited critics to take his finding apart….

Prof Lynn begins with the following observation:

It is a paradox that males have a larger average brain size than females, that brain size is positively associated with intelligence, and yet numerous experts have asserted that there is no sex difference in intelligence. This paper presents the developmental theory of sex differences in intelligence as a solution to this problem. This states that boys and girls have about the same IQ up to the age of 15 years but from the age of 16 the average IQ of males becomes higher than that of females with an advantage increasing to approximately 4 IQ points in adulthood.

Source: James Thompson, “Men 4 Points Ahead?“, The Unz Review, October 5, 2017
(see also Toby Young, “Why Can’t a Woman Be More Like a Man?“,
, May 24, 2018)

Which way do the fair sex incline: to matters verbal or mathematical? Verbal, it would seem, and all the more so as you go up the ability spectrum.

The authors [of the study summarized in the post] highlight the following findings:

Sex differences in math-verbal ability tilt in the right tail were examined across 35 years. Sample included >2 million gifted adolescents across multiple measures in the U.S. and India. Ability tilt favored males for math > verbal and females for verbal > math. Sex differences in ability tilt remained fairly stable over time and replicated across measures….

[S]kipping a thousand words, here is the pictorial summary, which shows that sex differences increase as ability tilt increases:

sex diff violin plot of tilt Wai

To my eye, starting from the bottom for all students, these violin plots show the following: women are almost perfectly balanced between verbal and mathematical ability, but men incline towards being better at maths than at verbal tasks. Men are more likely to calculate….

At the higher intellectual level of the top 1 in a 100 of the population [middle part of the graphic] both men and women incline more to mathematical thinking, but men predominate more.

At the eminent level of the top 1 in 10,000 of the population [top part of the graphic], men outnumber women by about 2.5.

Source: James Thompson, “Tilting at Sex Differences“,
The Unz Review
, March 2, 2018