Nor did they inhabit most of Asia or any of Australia, and yet Asians typically score higher on IQ tests than Europeans. Although this stuff is always interesting, it’s important not to read too much into it. From your cite:
Not “the best candidate”, but " on of the best candidates".
On the other hand, last spring one study group indicated that Normal variants of Microcephalin and ASPM do not account for brain size variability, (even noting in the article that brain size began to shrink in about the same time frame as the apparent introduction/mutation of MCPH1 and ASPM).
They were also a bit vague on distribution. The European/Neandertal meeting occurred after the primary human migration toward Asia was well under way, (although migration and return across similar latitudes might allow for more inter-group dispersion), so the smaller frequency among Africans is simply noted when excluding them from the analysis with no actual explanation provided.
They found people who had never heard of the traditional concepts of “race”, gave them no information other than the genomes, and they came up with a genome-based division that corresponds closely to the traditional concept?
If so, Murray is correct.
If not, Murray is being intellectually dishonest.
Except “social construct” ≠ “imaginary”. The reason we say that race is a social construct is not because we don’t think there is any genetic basis, but that there are other overriding factors that are not genetic. We call Halle Berry “Black”, but she almost certainly derives more from European than from African ancestry. We call Europeans “White” and Indians (from India) “Asian” even though Indians are closer genetically to Europeans than they are to Chinese. Some Indians are darker skinned than most American Blacks, but we don’t call them “Black” and, if anything, we’d have to call them White.
In speaking of race in the US, we usually mean Blacks and Whites, and we act as if there is a strict dichotomy-- you’re either White or Black. But that is far from what the genetic data would tell us. The main problem with “race” is that for it to have any real meaning, genetically, we’d have to define dozens of races that correspond to genetically similar ethnic groups around the globe, and even then there would be dozens of ways of slicing and dicing that data resulting in mnay different racial schemes. There isn’t any place where you can draw a line and say people on that side of the line are of race A and those on the other are race B, except in a completely arbitrary manner.
Except that there now is something coherent about the concept of race because it can be used as an accurate predictor of drug interactions and it’s becoming possible to make drugs “tailored” to different races. This is all relatively recent research so it’s understandable that Lewontin didn’t know about this but now that this research is out there, what Murray is trying to say is that the continual claim that “race is a social construct” is empirically false.
Murray goes into this in his article and claims that if this were the case, then blacks would score low on the less g loaded parts of the test and higher on the highly g loaded parts as these are meant to be more of a measure of inherent intelligence. However, his claim is that the exact opposite is true:
Murray also claims that brain size adjusted for body size is positively correlated with IQ (r = 0.4) and that blacks do have measurable smaller brains. This is a much weaker line of argument as it doesn’t follow that these two are cross correlated but the possibility exists no matter how much like bad phrenology it sounds.
Murray claims that cohort studies (ie: those studying blacks and whites in similar Socioeconomic Status) in America still reveal a systematic black/white difference.
Murray specifically addresses this:
You are attacking a straw man and one he specifically refutes at the very beginning of the article.
Murray specifically addresses the Flynn effect argument:
My understanding is yes, they gave this data to a computer with no concept of race and asked it to find clusters in the data. The clusters found corresponded well to self-reported race.
You are correct - I was going mostly from memory. If I recall correctly, Chris Tucker had the strongest case (compared to the others from the program) of his ancestors likely coming from a population originating somewhere in Angola.
You are right - I think for Gates there were several geographical regions within Africa that were likely candidates. I believe the one that had the strongest link (although not conclusive) was in Northern Africa near the Mediterranean. Again, going from memory, so I could be wrong…
Really? I have seen no evidence of that.
There was the recent (couple years back) approval by the CDC to conduct medicine trials on a particular medicine (BiDil) for black men in the U.S. based on one interpretation of the results of an earlier trial that showed more improvement among black males than white males. That sounds pretty impressive. Of course, when the test populations were re-evaluated for separate conditions that ignored race, they actually found a better corerelation for improvements when it was based on prior medical history, age, current levels of wealth/poverty, and general health. Apparently, it is simply true that in the U.S., aging black males with heart problems have a lifestyle (diet and exercise) and access to medical care that is generally closer to the conditions that are helped by that medicine.
Politics has driven subsequent tests to be targeted to aging black males, but there has been no evidence to establish that “race” has been the primary factor in the medicine’s effectiveness.
Is there some other “race-based” drug that has gotten into the news?
(It is also possible that BiDil will, indeed, eventually prove to be more efficacious, in general among blacks in the U.S. However, before we jump to a claim of “race,” we need to demonstrate that it also works better on blacks in Brazil (who were generally imported from different regions in Africa) as well as blacks in Senegal, Tanzania, Ethiopia, South Africa, Mozambique, Congo, etc. In other words, establishing that a drug works well on the particular population of people who were primarily taken from the West Coast of Africa, then mixed with large percentages of Europeans and indigenous Americans may mean that that new population has developed certain characteristics that respond to a particular drug without making any statement about some rather larger group of people whom we arbitrarily shoehorn into a category labeled “race.”)
From The NYT article
Ahh! I confused two studies.
A 2001 study showed that enalapril was less beneficial to black patients than to white patients. It was that study that was re-evaluated without the race factor and demonstrated that a better correlation was found when checked by age, lifestyle, and availability to medical care than to race.
BiDil was never even tested on anyone but black heart patients. It is a combination of a pair of generic drugs that could not get FDA approval as a "new’ drug until the manufacturer pushed it as a drug for “black” patients and embarked on new trials to show that it would not harm blacks. When the trials came back showing that it had some efficacy (as it clearly would, it being already in use as separate drugs), the company was given the approval to market it as a “black” medicine.
So, do we have any actual “race specific” drugs of which I am not aware? Or do we simply have reporters printing hype from pharmaceutical companies looking for new markets?
First off, Shalmanese, putting forth a correlation of .4, in that brain size vs IQ sentence, as proving anything is, um, kind of weak. I do this stuff all the time as a kind of investment hobby, trying to find stuff that correlates and stuff that has a negative correlation, and if I don’t find an r-squared of about .6 or higher one way or the other, I just throw it out, since it probably won’t make me any money in a reliable way.
A few things that may be wrong, also, although it’s a bit unclear:
1 - R is not r-squared (unless by r you actually mean r-squared): that is, r is the correlation coefficient, r2 is the coefficient of determination: you can directly use r2 to say what percent of the dependent variable is predicted by the independent variable. Thus, in your example, .4 squared comes to .16, or 16% of the variation being explained, if what you cite is just r, in which case it’s not just weak phrenology, it’s weak statistics.
2 - If you have two independent variables, r2 will tend to be higher just by chance. You’d need to get adjusted r2 values, in that case. I’m assuming his sample size was large, in which case there really wouldn’t be much of a difference. Still, it’s suspicious that, if you’re interpreting correctly, he’s using r instead of r2 and - if he does have two independent variables in there - instead of adjusted r2. Sounds more like propaganda than it does any real attempt at gaining knowledge, if that’s the case.
3 - Finally, of course, there’s the old correlation not equal causation. I don’t know if nutrition bears on brain size, but if it does, that could explain that positive correlation, and it would be a far more logical explanation. And so on. Murray is making a claim that within a species with not a lot of genetic variation there is something going on genetically that determines that two subgroups of that species will have a genetically-determined variation that makes one less intelligent than the other. He needs to get some actual genetics to back him up. For such a strong claim, statistics, especially really weak correlations between different surface variations of different members of the species, is a sorry argument to make.
You only do statistics of this kind to establish that there’s an area that needs further investigation as to the cause of the correlation. I don’t know if scientists spend a lot of time looking for why two things have r2’s of .16, not being one, but I’d be surprised if they do. Admittedly, I use stats for entirely different pursuits, but it really doesn’t strike me as something worth tracking down, off the top of my head. I could be wrong.
(This of course also goes to Flying Dutchman’s thing about the allele affecting brain size. Even if everything he cites turns out to be true, we have a gene variation affecting a variation in brain size that has at best a weak correlation to IQ, and no one’s proved that that correlation means anything at all, yet, as far as I know.)
As for that quote you used against my Sowell quote, Sowell was directly addressing that quote from Murray you used. So, I guess we could go round and round that same quote, or just agree to disagree.
i never said anything about the allele affecting brain size. The gene does though, and we all have it.
I just wanted to point out to you that your reliance on African genetic diversity precluding a missing intelligence genetic variant is not well founded.
No, in fact it is well founded. At best your allele has a weak relationship to intelligence. The case that the Neandertals may have interbred with homo sapiens in the distant past is unproven so far, and the first analysis of nuclear DNA shows no apparent link, and that Neandertals may actually be more closely related to chimps than to human beings, which is as I expected, since my first thought was “if there was interbreeding, then Europeans would actually have comparable genetic diversity to Africans”.
But they don’t. Your exercise is best characterized as grasping at straws.
Yes. A lot depends upon what you intend to do with sorting people into races. If it is to give extra effort to strengthening any weaknesses discovered by additional training in those areas, fine. If you intend to use the differences as a way of discrimination or channeling people into subsidiary roles then I have problems with the idea.
Here is one of the meta-analyses cited which provides a correlation of 0.33. Another meta-analysis provides 0.40 but it’s hard to link to. A chi-squared test gives a p value of 0.003 that such a correlation could arise by chance. The general consensus, AFAIK, 0.3 - 0.5 counts as a “medium” strength relationship. Not exactly bulletproof evidence but not something you can just casually discard either.
The article goes into a whole lot more detail. That the correlation is greater for adults than children may suggest that upbringing could be a causative factor for both.
The Sowell quote was addressing the original Bell Curve arguments. The Muray quote seems to be directly addressing the Sowell quote and those like it.
If you’re right that .3 - .5 is considered medium (a 26% proportional rise/fall in the dependent is considered strong? Wow.), then their finding of .33 is on the very low end of that range. Their uncorrected number is .29, which falls below it.
From the text and the tables, it looks like they’re using r. The square of .33 is .1089, so they’re saying that 10.89% of intelligence can be “explained” by brain size. To me, that’s very low, but obviously I’m measuring on a different scale than these people.
Pantom, you are absolutely missing my point. The only reason I mentioned the scientists speculating on the connection with neanderthals is because they are wondering how a genetic variant of a gene known to have an effect on brain size that is almost universal outside of Africa is somewhat rarer in Africa and arose after homo sapiens left Africa. The fact is there is a brain related genetic variant that arose outside the African genetic pool. ** Your claim that the greater African genetic diversity would make it not so has been proven absolutely untrue.** Whether or not microcephalin actually affects IQ or not is completely irrelevant to a rebuttal of your assertion.
I will concede your point, with a large stipulation:
I think, if I read you right, you’re saying that I said it would be impossible for some brain-related gene to arise outside of Africa, or some intelligence-related gene. If you go back and look at the final paragraph of my first post, it said the chances of Africans not having a gene that other homo sapiens elsewhere had were lower given their greater genetic diversity. Chances, not anything absolute. Or, to put it very simply, the higher the genetic diversity, the lower the likelihood some population is going to be missing some gene some other population has.
Combine that with the already low genetic diversity of the human race in general, and what you have is a situation where the claim that some yet-undiscovered gene that controls intelligence is present in the population outside Africa but absent in the population inside Africa becomes, if not extraordinary, certainly something that needs to be proven with a greater reliability than can be gotten with statistical studies.
On the face of it, this is absurd. The gene for blond hair is present in people outside of Africa yet not present for people in Africa.
Oh please. Yes, some things that are adaptive outside of Africa are going to be there, like blond hair, fat for Eskimo, and so on. This gene that Flying Dutchman is citing may be something like that, for all I know.
Intelligence, however, is a core human trait, like language or an opposable thumb.
Wait! Europeans have thumbs that are more opposable than Africans!
Sounds pretty absurd, doesn’t it?