May 11, 2009
The Intelligence of Between-Group Differences
James Watson, co-discoverer of the double helix and winner of the Nobel Prize, may be the most important figure in the history of science alive today. However, a series of statements attributed to him in a 2007 issue of The Sunday Times left the pedestal on which he stands irreversibly tarnished. At the heart of these quotations is the implication that people of African descent are, on average, less intelligent than people of other ancestral origins. Watson did not explicitly deny having made the statements in a written response to the Times article, though he did note that from his “point of view, there is no scientific basis for such a belief.”
Below these alleged comments, the article’s author, Charlotte Hunt-Grubbe, quotes from the following passage in Watson’s recently published autobiography: “A priori,” Watson writes, “there is no firm reason to anticipate that the intellectual capacities of peoples geographically separated in their evolution should prove to have evolved identically. Our wanting to reserve equal powers of reason as some universal heritage of humanity will not be enough to make it so.” Hunt-Grubbe does not draw a distinction between Watson’s alleged verbal statements, which unambiguously imply that people of African descent are intellectually deficient, and this written excerpt. However, a distinction does exist, and it is an important one to emphasize – for on the latter point, Watson is correct: the claim that racial or ethnic groups may differ in mean intelligence cannot be dismissed a priori, and to insist that it can lends credence to its proponents. Instead, it is a debate that must be resolved empirically, if it is to be resolved at all.
I cannot think of any practical benefit that would arise from the knowledge, if it were true, that groups differ in average intelligence as a result of genes. Few would argue that such differences justify differential treatment or unequal allotment of resources. Still, given many persist in believing that a genetic basis for group differences in intelligence exists, it is worth noting why it is probably false.
A flaw in the methodology
The controversy over between-group differences in genetic correlates of intelligence stems from the finding that IQ is highly heritable. One way that this has been determined is by comparing the likeness of monozygotic twins raised apart to that of monozygotic twins raised together. If intelligence is mediated entirely by environmental factors, then twins raised together should score the same or similarly on IQ tests, while twins raised apart should score no more similarly than two people chosen at random. On the other hand, if intelligence were mediated entirely by genes, then we would expect siblings from both sets of twins to score exactly the same on IQ tests. So, by comparing the average likeness of IQ for twins from each group, we can derive an estimate of the heritability of intelligence. Using this methodology, the Minnesota Study of Twins Reared Apart estimates that approximately 70% of the variance in IQ can be attributed to genes. Or, in other words, the similarity in IQ for twins reared apart is almost as high as for twins reared together, thus discounting the influence of environmental factors on general intelligence.
However, while this evidence for the heritability of intelligence may explain IQ differences among individuals, it may not account for differences in mean IQ among racial or ethnic groups (such as those reported in Hernstein and Murray’s The Bell Curve, published in 1994). One reason to doubt that these between-group differences are the result of genetic influences comes from the work of Eric Turkheimer, a psychologist at the University of Virginia.
Turkheimer’s research addresses a major assumption underlying twin methodologies – that the differences in environment for twins raised apart are representative of real-world environmental disparities. While experiments like the Minnesota Study attempt to procure subjects from significantly different socio-economic backgrounds, this difference is often between adequate environments and enriched ones, since impoverished caretakers are generally not invited to adopt and the destitute rarely spend their free time volunteering to benefit psychology.
So, Turkheimer set out to investigate what happens when children raised in impoverished environments are incorporated into the data. As hypothesized, the heritability of IQ did not vary linearly with respect to socioeconomic status. While for subjects being raised in adequate and enriched environments, IQ did appear to be more strongly influenced by genes than by environment, the effect was flipped for subjects being raised in impoverished circumstances. In fact, in 2003, Turkheimer and colleagues wrote that for “impoverished families, 60% of the variance in IQ is accounted for by the shared environment, and the contribution of genes is almost zero.” This finding presents a serious challenge to the claim that between-group differences in intelligence are mediated by genetic factors since the groups being compared often differ sharply in the percentage of people who are impoverished.
The Flynn Effect
Another reason to doubt that between-group differences in average intelligence reflect genetic disparities concerns the discovery of surprisingly large IQ gains within nations across generations – a phenomenon known as the “Flynn Effect”. In a watershed 1987 study, James Flynn presents evidence for massive IQ gains (ranging from 5 to 25 points) over a single generation in 14 countries. Interestingly, Flynn notes, “The magnitude of these score differences matches the size of all major between-group differences in the literature, whether these refer to races, classes or nations.” Since Flynn is comparing groups with (roughly) the same genes, it must be possible for distinct but cotemporaneous groups to differ markedly in IQ without there being a corresponding genetic disparity.
Still, Flynn admits, the size of these effects is perplexing. How can the environment account for such enormous differences in IQ across groups, if it’s responsible for only 30% of the variance across individuals? Poverty alone cannot explain it. So, Flynn and the economist William T. Dickens concluded, intelligence must not be simply the sum of a person’s genetic and environmental inputs. Instead, these components must interact and multiply.
Consider the analogy to basketball skills. As Flynn and Dickens point out, there are genetic factors that might make you better at basketball – being tall, slim, and well-coordinated, to name a few. There are also environmental factors that affect this ability – like growing up with a basketball hoop, owning comfortable sneakers or having a good relationship with your high school coach. But it would be absurd to suggest that these factors are unrelated. After all, your parents might purchase a basketball hoop upon noticing that you are above average in height, you may spring for nicer sneakers if you play a lot of sports, and your coach is almost sure to like you if you’re an asset to the team. In other words, what began as a slight genetic advantage can multiply through interactions with the environment.
This presents a confound for the twin methodology, since, Flynn and Dickens write, “To the extent that environmental quality is matched with genetic endowment, there will be a tendency for identical twins to resemble one another…whether they are raised together or separated at birth.” Thus, certain traits may be under less genetic control than the twin studies suggest.
But also consider how this kind of multiplier effect might occur on the group level. Suppose you live in a society where no one has a basketball hoop in their front yard, comfortable sneakers are hard to come by, and there is no high school basketball team. Now, none of your genetic advantages get multiplied, and everyone is exponentially worse at basketball. If you doubt that these differences would have a significant impact on basketball skills, just consider the state of play in the United States prior to 1945 or the performance of the Angolan national team at the 2008 Olympics. In this way, even small environmental differences can have enormous effects.
The Harlem Miracle
Last week, in a column titled, “The Harlem Miracle,” David Brooks detailed the outstanding success of Promise Academy, a charter middle school in New York City. “In Math,” Brooks reports, the school “eliminated the achievement gap between its black students and the city average for white students.” I do not mention this to demonstrate that it is possible to close the achievement gap between groups by altering the environment. After all, achievement is not the same as general intelligence (which IQ tests purport to measure), and it might be possible to close the achievement gap even if between-group differences were mediated by genes.
Instead, I mention it to emphasize the importance of environmental influences on intelligence more generally. The concept of IQ and the fact of its genetic underpinnings seem to suggest a deep further fact about intelligence – an intimate and indelible relation between your g-factor and who you are, actually. But, as I have begun to illustrate here, this conception is flawed. At most, IQ is a useful predictor of one’s cognitive potential, and this predictor becomes meaningless in the absence of necessary environmental input. As the Flynn-Dickens model suggests, even small environmental deficiencies may have massive effects. Fortunately, the consequences of positive alterations may be just as great.
Posted by Olivia Scheck at 12:25 AM | Permalink






















Comments
1. Race as a biological-genetic reality?
Before one can examine whether there are race group differences in intelligence (IQ, 'g'), it is necessary to ascertain whether there is a biological-genetic reality to race. If there is a biological-genetic reality to race, then there is a basis for attributing group differences to race. However, it does not, by itself, prove that observed differences in measured IQ have a biological-genetic bass. Otherwise, observed group differences on any factor under study cannot be described as race group differences. The reasons for the group disparities must be found in other explanations.
The concept of race, as we usually understand it and use it, is a socio-political convention that has no basis in biological-genetic reality. It is a concept of classification that has utility for social, geographical, and political purposes. Here is a quote from a paper, "Confusions About Human Races", by R. C. Lewontin:
"The every-day socially defined geographical races do identify groups of populations that are somewhat more closely similar to each other genetically. Most important from the standpoint of the biological meaning of these racial categories, however, most human genetic variation does not show such "race" clustering." -R.C. Lewontin is Alexander Agassiz Professor Emeritus of Zoology at Harvard University. He has written a number of books and articles on evolution and human variation, including Biology as Ideology: The Doctrine of DNA and The Triple Helix: Gene, Organism, and Environment.
Most of human genetic variation of all kinds, 85 percent, is observed in the immense differences among individuals. Most of those differences are found within local national and linguistic groups. As for the remaining 15 percent, it is split between differences between local national and linguistic groups (French vs Ukrainians), and the socio-political groupings. On top of this is the imprecision of categorizing people into the 'classical' race groups. Keep in mind that we are talking about all types of variation, not just IQ. Lewontin has argued, with plenty of data, that race is only skin deep.
2. Other data.
Stephen Hsu, professor of physics at the University of Oregon, disagrees with Lewontin. He argues that there is some basis in genetics to think of the 'classical' geographic groups as representing genetic clusters. I haven't examined his data, yet, but I wonder about the strength of his findings, and the unique variances beyond individual differences, and local national groupings (French vs Ukrainians). If true, to small or large effect, it is still an empirical question as to whether differences in measured IQ reflect differences based in inherited factors.
There are data, at this point, to demonstrate that working with DNA information alone, identifiable clusters of people will arise that won't look like the 'classical' race groupings. You will find members of a genetic cluster that will not appear, on the surface, to have much in common. Likewise, people that appear, on the surface to be similar, may be members of completely different DNA clusters. We should see more data in the coming few years to clarify whether this holds true, and to what extent.
3. Individual differences versus group differences
Here I am repeating the points made by Olivia Scheck's article. We have to distinguish between individual differences and group differences, especially when it comes to IQ. There is more than ample evidence to support a genetic component to differences among individuals on measured IQ. There are probably a number of factors that make up measured IQ, and there are probably a number of genes that contribute to these differences.
The problem arises when evidence of a genetic basis for individual differences is used to support claims of a genetic basis for group differences. This fundamental mistake is manifest even today and after decades of debate. To most people, the argument seems plausible, if not downright obvious. The erroneous logic goes like this: Since genes influence IQ differences among individuals, and groups are made up of individuals, then group differences on IQ must also have a genetic foundation. Nothing could be farther from the truth in logic or research.
The only way we could observe genetically based group differences of any kind, is if a group was able to breed in isolation, or relative isolation, for a long period of time. There is some evidence that Jews among the Ashkenazim, may have a higher IQ than other groups. If there is a genetic basis to this difference, it would have to be based on breeding in isolation (from members of other groups). This is a plausible explanation, though I am not familiar with the data. The West African peoples who became forced chattel in the Atlantic slave trade since the fifteenth century CE were hardly breeding in isolation, before or since.
4. What is Intelligence?
Intelligence, IQ, 'g', native ability, and the like are variations on the same concept. Please note that I use the word, "concept". IQ is not a thing, or part of the brain, or essence of humanity, or whatever. It is a label for a collection of behaviors. These behaviors have some amount of consensus among those who attempt to measure it and study it. This concept is extraordinary in that it is correlated to so many other behaviors and aspects of human functioning. It is multifaceted, principally having two major components (verbal and numerical) and many subcomponents. It has been extremely useful for practical decision-making, like selection for school, training, or employment. However, not all examples of utility are necessarily ethical or fair. True, there is no such THING as IQ. But what we measure of the CONCEPT of IQ remains a fascinating tool for understanding behavior and mental life in animals and humans.
Posted by: Norman Costa | May 11, 2009 5:20:57 PM
A quite necessary and astute review of the data, and its subsequent interpretations. I think it gets to the real bottom of the issue, which is that intelligence (or whatever qualifier-laden thing or things IQ is purportedly reflecting) is best described as a tool, like any other useful thing. That is, a tool is inert by itself, it has no “intrinsic value”, its value is only created through its application, through its performance of work, through it ability to serve a purpose. As with any other adaptive product of evolution, minus its ability to interact with the environment for which it evolved (or with our actual tools, the environment or application for which it was designed) the adaptation has no value. It was maintained by the forces of selection in order to serve a certain purpose, or if it is novel, potentially serve a purpose given the right environment. But if there is no substrate for it to act upon, it cannot perform any job better or worse, and thus cannot have value, negative or positive (however, following the need for efficiency given a limited set of resources, most non-useful attributes are eventually dropped, and thus can be seen as having negative value). As well, if a tool cannot act upon an appropriate environment it cannot become more refined and more useful towards its job or goal over time. This describes the multiplier effect to which you refer. That is, this is how all tools become better at what they do, through a feedback loop of action and its rewards; refinement, adaptation, evolution, whatever.
Though, what remains most dispiriting is our continued insistence upon using race or ethnicity as a scientific classification, or at best, referring to them when we know better. Richard Lewontin and Stephen J. Gould were adamant about this abuse for many years, especially after “The Bell Curve”. That their refusal to play reductionist with historically arbitrary and contingent classifications of human populations has not been heeded well enough is a shame all of us should bear.
Posted by: mentalelevation | May 11, 2009 6:30:25 PM
mentalelevation,
Thank you for your compliment. I agree with your second paragraph. I don't agree that thinking about IQ as a 'tool' is helpful, though. IQ is an ability or capacity that develops. A tool is something that humans create and/or shape and that has utility. A better example of a mental or cognitive tool would be logic. Most people don't realize it but logic is an invention. The human brain is not, by nature, a syllogism processor. The human brain is more associative than it is logical.
So I think it's better to think of IQ as a set of related abilities or capacities that enable us to act upon this world. This brings us back to the issue of group differences in this related set of abilities and capacities. Even if we called it a tool, we still have to deal with group differences in the effective use of the tool.
I'm with you, Gould, and Lewontin that we need to stop using the old and misleading use of the term race and its groupings, at least as far as science and research are concerned. As a socio-political matter in the U.S., I don't think it's going to go away, nor do I think it should - not anytime soon. It is a basis for measuring social progress, identity, and legal remedy.
Posted by: Norman Costa | May 11, 2009 8:51:23 PM
"Though, what remains most dispiriting is our continued insistence upon using race or ethnicity as a scientific classification, or at best, referring to them when we know better."
But it brings so much pleasure to so many people...
Posted by: Steven Augustine | May 13, 2009 5:19:20 AM
I don't agree that thinking about IQ as a 'tool' is helpful, though. IQ is an ability or capacity that develops. A tool is something that humans create and/or shape and that has utility.
IQ is a test score, and except in extraordinary circumstances no more defines a persons potential than a persons SAT. The test *is* a tool. What it could possibly divine, if administered at an early age, is how well the individual's education has been progressing.
Posted by: Carlos | May 13, 2009 9:08:26 AM
"There is some evidence that Jews among the Ashkenazim, may have a higher IQ than other groups. If there is a genetic basis to this difference, it would have to be based on breeding in isolation (from members of other groups)"
While this may be true, it is also true that Ashkenazim Jews pay for their relatively small gene pool be being more susceptible to a variety of illnesses, such as Crohn's disease and others. It is probably beneficial to marry and have children with someone from another race as it is likely to produce children with stronger immune systems.
Posted by: J. Hawkins | May 13, 2009 9:55:55 AM
Carlos, I will rephrase:
I don't agree that thinking about an individual's intelligence as a 'tool' is helpful, though. Intelligence, as a concept, represents a broad set of abilities or capacities that develops, and is influenced by genes, experience, and the interaction of the two. A tool is something that humans create and/or shape and that has utility. A better example of a mental or cognitive tool would be logic. Most people don't realize it but logic is an invention. The human brain is not, by nature, a syllogism processor. The human brain is more associative than it is logical.
The IQ test is a tool. However, your observation, "What it could possibly divine, if administered at an early age, is how well the individual's education has been progressing", is too limiting. There are three classes of determiners of measured intelligence of individuals: genes, experience (education is one), and the interaction of the two.
Equating an IQ score to an SAT score is misleading. The content of an SAT test reflects, explicitly and intentionally, achievement. The content of achievement, by definition, reflects outcomes from experiences. SAT scores do a very good job at predicting grade point average at the end of freshman year of college. After that, SAT scores decline, precipitously, in predictive utility. It is a matter of decades of research, that measured intelligence predicts more outcomes in more contexts than any other single measure of ability or achievement.
J. Hawkins,
I agree. Increasing diversity in a gene pool is highly adaptive for survival. Breeding in isolation has its benefits and, sometimes, serious risks.
Posted by: Norman Costa | May 13, 2009 12:38:13 PM
Well then let me rephrase as well
What it could possibly divine, if administered at an early age, is how well the individual's education & experience has been aligning him with the concepts and use of logic tested for in the SB.
measured intelligence predicts more outcomes in more contexts than any other single measure of ability or achievement.
Have there been any studies correcting the outcomes for the advantages of birth discussed on that earlier It's Better to Have Rich Parents Than to be Educated, in the US post?
Posted by: Carlos | May 13, 2009 2:33:14 PM
Rich peoples got higher IQs
So if wealthy parents predicts IQ, and both rich parents and IQ predict outcomes, which is the determining factor? Any studies that cut a signal out of that noise?
Posted by: Carlos | May 13, 2009 2:40:43 PM
Carlos,
I went back to read the post, “It's Better to Have Rich Parents Than to be Educated”. You ask, “Have there been any studies correcting the outcomes for the advantages of BIRTH [my emphasis]....?”, as discussed in the post. The article that is referenced is not really a nature vs. nurture argument. The areas of discussion and analysis are all nurture. BIRTH, in the discussion, has nothing to do with nature, that is, it doesn't deal with genetic influences. Different people are BIRTHed into different environments. Some of those environments are more positively disposed to higher education or income or both.
I read your link “Rich people got higher IQs.” [You may want to change the link to: http://www.nytimes.com/2009/04/16/opinion/16kristof.html?_r=1]. It's a New York Times Op-Ed piece by Nicholas D. Kristof. He's reporting on a book, “Intelligence and How to Get It,” by Richard Nisbett, a professor of psychology at the University of Michigan. Kristof 's conclusions come down to these two: 1. “If intelligence were deeply encoded in our genes, that would lead to the depressing conclusion that neither schooling nor antipoverty programs can accomplish much.”; 2. “Yet while this view of I.Q. as overwhelmingly inherited has been widely held, the evidence is growing that it is, at a practical level, profoundly wrong.”
I am not familiar with Nisbett's book. As someone who has been in and out of research on the area over a 40 year career, I can can address Kristof's article. Kristof makes the fundamental mistake, described in my first comment on this page, of discussing genetics and group differences in the light of genetics and individual differences. Except, he does it in reverse. His argument is that since poor people (a group) can show improvement in measured IQ as a result of experience, then the research supporting a genetic basis for [individual differences in] IQ is called into question. Kristof does not appreciate the distinction between genes and individual differences in measured intelligence versus genes and group differences in measured intelligence.
It is good news that experience can influence individual performance on measured intelligence, and, concomitantly, improve derivative benefits. Nisbett's work, as described by Kristof, demonstrates what I've stated earlier. Measured intelligence assesses a multitude of related abilities that are influenced by 1. a multitude of genetic factors, 2. a multitude of experiences, and 3. a multitude of interactions between genes and experiences.
This gets us to your excellent questions that cuts to the heart of the matter: “So if wealthy parents predicts IQ, and both rich parents and IQ predict outcomes, which is the determining factor? Any studies that cut a signal out of that noise?” Yes. The twin studies, with all the variations and criticisms, are still very strong in supporting a genetic basis for individual differences in measured intelligence. There is a lot of debate as to the size of the genetic effect, but there is enough evidence that it is sizable. My view is that it could be 40 to 50 percent of the variance. I do not accept that it would be over 70 percent. So there is a lot of room to parse out the variance (signal versus noise) for experience and interactions. Like the size of the signal to noise ratio for genetic causes, the sizes of the signal to noise ratios for experience and interactions will not find a consensus any time soon. There are still three slices to the measured intelligence pie. The size of the slices will be debated for a long time.
Posted by: Norman Costa | May 13, 2009 5:37:40 PM
CORRECTION TO MY LAST TWO PARAGRAPHS, ABOVE. SORRY.
It is good news that experience can influence individual performance AND group performance on measured intelligence, and, concomitantly, improve derivative benefits. Nisbett's work, as described by Kristof, demonstrates what I've stated earlier. Measured intelligence of individuals assesses a multitude of related abilities that are influenced by 1. a multitude of genetic factors, 2. a multitude of experiences, and 3. a multitude of interactions between genes and experiences.
This gets us to your excellent questions that cuts to the heart of the matter: “So if wealthy parents predicts IQ, and both rich parents and IQ predict outcomes, which is the determining factor? Any studies that cut a signal out of that noise?” Yes, but we have to continue making a distinction between individual differences and group differences. The twin studies, with all the variations and criticisms, are still very strong in supporting a genetic basis for individual differences in measured intelligence. There is a lot of debate as to the size of the genetic effect, but there is enough evidence that it is sizable. My view is that it could be 40 to 50 percent of the variance. I do not accept that it would be over 70 percent. So there is a lot of room to parse out the variance (signal versus noise) for experience and interactions. Like the size of the signal to noise ratio for genetic causes, the sizes of the signal to noise ratios for experience and interactions will not find a consensus any time soon. There are still three slices to the measured intelligence pie. The size of the slices will be debated for a long time.
Now let's talk about group differences. It's a separate pie. How many slices are there in the group differences pie? If the groups are the social-political groups that we call race-ethnic groups, we have to question the biological-genetic reality of these classifications. In that case, the gene slice might be nonexistent, or very small. The experience slice might be so large as to present an undivided pie. Like the individual differences pie, the size of the slices will be debated for a long time.
Posted by: Norman Costa | May 13, 2009 5:44:13 PM
"In fact, in 2003, Turkheimer and colleagues wrote that for “impoverished families, 60% of the variance in IQ is accounted for by the shared environment, and the contribution of genes is almost zero.” This finding presents a serious challenge to the claim that between-group differences in intelligence are mediated by genetic factors since the groups being compared often differ sharply in the percentage of people who are impoverished."
1 - The study included only young children and does not make any attempt to extrapolate that all other findings of significant increases in h^2 by age 17 are in any way invalid. The effects of the shared environment vanish at around age 12.
2 - Turkheimer began his paper by recognizing that the heritability of cognitive ability in childhood is well established.
3 - Turkheimer made no attempt whatsoever to determine what components of SES he was measuring. There are three obvious items to consider: macro environmental, micro environmental, and genetic. All work to date indicates that the first of these can be found in children, but that it is absent in late adolescents; by late adolescence, all of the environmental component is of the second type; and that genetic intelligence is the largest determinant of SES.
4 - Turkheimer says that the effect he observed was related to the homes in which the children were raised. This is interesting, since it relates to the adoption studies which show that after childhood there is no adult IQ correlation between biologically unrelated children who were reared together in the same home.
5 - Turkheimer discusses in some detail that SES is not strictly an environmental variable, since it is known to be (statistically) caused by the intelligence of the parents. He points out that the models he used "cannot determine which aspect of SES is responsible for the interactions" observed.
As for the reason the shared environmental component vanishes there are a number of possible reasons that are not yet sufficiently investigated to establish proof of causation. One is Thompson's finding that the cerebral cortex thickens and then thins over childhood and follows thickness trajectories that are different for different IQ levels. The process is more extended in bright children. This trajectory is established at a very early age. A recent replication of the study was done by Karama, et. al.
Posted by: M Stein | Nov 22, 2009 11:12:59 PM
"So if wealthy parents predicts IQ, and both rich parents and IQ predict outcomes, which is the determining factor? Any studies that cut a signal out of that noise?”
'Hernstein's Syllogism: Genetic and shared environmental influences on IQ, education, and income.'
Rowe, David C.; Vesterdal, Wendy J.; Rodgers, Joseph L. .
(1994) Intelligence. 26, (4), 405-423.
Also Charles Murray addresses this here.
http://www.aei.org/docLib/20040302_book443.pdf
And more recently:
"The results indicate that SES factors do not predict children differences in scholastic achievement, whereas children's intelligence tests' scores predict their scholastic differences. These results underscore personal intelligence as a genuine predictor of individual differences in scholastic achievement."
Intelligence predicts scholastic achievement irrespective of SES factors: Evidence from Brazil'
Roberto Coloma, , and Carmen E. Flores-Mendozab
Intelligence, Volume 35, Issue 3, May-June 2007, Pages 243-251
Posted by: M Stein | Nov 22, 2009 11:17:47 PM
"Most of human genetic variation of all kinds, 85 percent, is observed in the immense differences among individuals."
This is known Lewontin's Fallacy: that because most genes may be found in all human groups, the groups don't differ at all. But patterns of correlation among genes do differ between groups, and different clusters of correlated genes correspond well to the major races labeled by common sense.
Cambridge geneticist AWF Edwards wrote a paper in 2003 explaining the problem.
More recent studies show individuals can easily be identified in terms of traditional racial categories.
See this paper by Dr. Hua Tang entitled: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies:
"Numerous recent studies using a variety of genetic markers have shown that, for example, individuals sampled worldwide fall into clusters that roughly correspond to continental lines, as well as to the commonly used self-identifying racial groups: Africans, European/West Asians, East Asians, Pacific Islanders, and Native Americans (Bowcock et al. 1994; Calafell et al. 1998; Rosenberg et al. 2002)...
Subjects identified themselves as belonging to one of four major racial/ethnic groups (white, African American, East Asian, and Hispanic) and were recruited from 15 different geographic locales within the United States and Taiwan. Genetic cluster analysis of the microsatellite markers produced four major clusters, which showed near-perfect correspondence with the four self-reported race/ethnicity categories."
As you note, Steve Hsu has blogged about various studies.
"Represent each individual human by their DNA sequence. When aggregated, they cluster into readily identifiable groups. This has been known for 40 years now, although the technology and methods of analysis continue to improve. Below are results from 1966, 1978 and 2008."
http://infoproc.blogspot.com/2009/06/genetic-clustering-40-years-of-progress.html
"Technical comment: this depends on the number of loci or markers used. As the number gets large the distance between clusters becomes much larger than the individual cluster radius. For continental clusters, if hundreds or thousands of markers are used the intercluster distance dominates the intracluster size. Further technical comment: you may have read the misleading statistic, spread by the intellectually dishonest Lewontin, that 85% percent of all human genetic variation occurs within groups and only 15% between groups. The statistic is true, but what is often falsely claimed is that this breakup of variances (larger within group than between group) prevents any meaningful genetic classification of populations. This false conclusion neglects the correlations in the genetic data that are revealed in a cluster analysis. See here for a simple example which shows that there can be dramatic group differences in phenotypes even if every version of every gene is found in two groups -- as long as the frequency or probability distributions are distinct. Sadly, understanding this point requires just enough mathematical ability that it has eluded all but a small number of experts.)"
http://infoproc.blogspot.com/2008/01/no-scientific-basis-for-race.html
Posted by: M Stein | Nov 22, 2009 11:25:37 PM
"If you doubt that these differences would have a significant impact on basketball skills, just consider the state of play in the United States prior to 1945 or the performance of the Angolan national team at the 2008 Olympics. In this way, even small environmental differences can have enormous effects."
Note that Wicherts (2004) found that the Flynn effect was qualitatively different to group differences.
Posted by: M Stein | Nov 22, 2009 11:30:52 PM
***85 percent, is observed in the immense differences among individuals. Most of those differences are found within local national and linguistic groups. As for the remaining 15 percent, it is split between differences between local national and linguistic groups (French vs Ukrainians), and the socio-political groupings. ***
This is what's known as Lewontin's Fallacy: that because most genes may be found in all human groups, the groups don't differ at all.
But patterns of correlation among genes do differ between groups, and different clusters of correlated genes correspond well to the major races labeled by common sense. For instance, see this paper
Dr. Hua Tang entitled: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies:
"Numerous recent studies using a variety of genetic markers have shown that, for example, individuals sampled worldwide fall into clusters that roughly correspond to continental lines, as well as to the commonly used self-identifying racial groups: Africans, European/West Asians, East Asians, Pacific Islanders, and Native Americans (Bowcock et al. 1994; Calafell et al. 1998; Rosenberg et al. 2002)...
Subjects identified themselves as belonging to one of four major racial/ethnic groups (white, African American, East Asian, and Hispanic) and were recruited from 15 different geographic locales within the United States and Taiwan. Genetic cluster analysis of the microsatellite markers produced four major clusters, which showed near-perfect correspondence with the four self-reported race/ethnicity categories."
Posted by: M Stein | Nov 22, 2009 11:35:14 PM
***So if wealthy parents predicts IQ, and both rich parents and IQ predict outcomes, which is the determining factor? Any studies that cut a signal out of that noise?***
David C Rowe looked at this:
" biometric genetic model was fit that estimated the shared environmental and genetic variance components of IQ, years of education, and hourly income. The total heritabilities were 0.64 for IQ, 0.68 for education, and 0.42 for income. Heritabilities due to a common genetic factor were 0.35 for IQ, 0.52 for education, and 0.12 for income. Environmental influences due to a common shared environmental factor were 0.23 for IQ, 0.18 for education, and 0.08 for income. The model predicted a correlation of 0.63 between IQ and education and 0.34 between IQ and income. Sixty-eight percent of the former and 59% of the latter was genetically mediated; the remainder was mediated by common shared environment. These findings suggest that social inequality in the United States has its origin in both genetically-based traits and in different environmental backgrounds."
Herrnstein's syllogism: genetic and shared environmental influences on IQ, education, and income
Intelligence
Volume 26, Issue 4, November 1998, Pages 405-423
More recently:
"The variables of interest are analyzed considering three independent samples of participants comprising a total of 641 children. The participants belonged to a Brazilian School characterized by broad and representative ranges in intelligence, scholastic achievement, and SES factors. The results indicate that SES factors do not predict children differences in scholastic achievement, whereas children's intelligence tests' scores predict their scholastic differences. These results underscore personal intelligence as a genuine predictor of individual differences in scholastic achievement."
'Intelligence predicts scholastic achievement irrespective of SES factors: Evidence from Brazil'
Intelligence
Volume 35, Issue 3, May-June 2007, Pages 243-251
Posted by: M Stein | Nov 22, 2009 11:39:03 PM
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