HughRistik comments on What is missing from rationality? - Less Wrong

19 [deleted] 27 April 2010 12:32PM

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Comment author: mattnewport 30 April 2010 04:35:42PM 4 points [-]

Yes, the world is a complex place. Yes, any finding in the social sciences may not show what it purports to show due to biases and flaws in the methodology. We can do better here than simply ignoring all evidence on the basis that it might be wrong however. Remember that 'belief' in some idea is not a binary thing, 0 and 1 are not probabilities, all beliefs are open to future revision in either direction in light of new evidence. A rationalist should be trying to refine their degree of belief by asking questions and doing further research.

Greater variance in male performance is both a widely observed phenomenon in many domains and something that you would expect to see given the differing selection pressures on males and females. It need not be an emotionally laden observation since it is not inherently implying that either gender is 'better' than the other in some way, it is merely an observed regularity of our world.

So if you dispute the evidence for greater variance in male performance generally and in intelligence measures specifically please address your criticisms to specifics. What specifically are the biases in standard IQ tests or measures of income that you have an understanding of and how do they act to produce misleading results? What other data (experimental is preferable but anecdotal is admissible for consideration) do you have to offer on this issue? This is a perfect example of a question we can collectively apply our rationality to in order to improve the accuracy of our probability estimates.

Or don't. Just say 'I don't believe any of this evidence should influence my beliefs because the world is complex and evidence can be wrong' if you choose. But do not pretend that that is either a noble or rational stance to take on an issue.

Comment author: HughRistik 30 April 2010 06:13:51PM 2 points [-]

See the Deary study of practically the entire population of Scottish 11 year-olds, which found greater male variability. The introduction of the study also discusses the history of the greater male variability hypothesis, and some of the evidence for it.

There is a cross-cultural study which found that males have higher variance in most populations, but females do in others. (Of course, this doesn't necessarily mean that the difference is "cultural," though it could.) I will try to dig it up. Even so, greater male variability is a robust finding.

Comment author: byrnema 30 April 2010 06:50:09PM 1 point [-]

This is the bit that I think is important when discussing results about intelligence:

We use the term general intelligence to mean the ability to use combinations of preexisting knowledge and abstract reasoning to solve any of a variety of problems designed to assess the extent to which individuals can benefit from instruction or the amount of instruction necessary to attain a given level of competence.

However, I'm not saying you need to include this information in your comment because you already made the context specific: the Deary study. So a person can dig deeper and find these details if they want to.

Even so, greater male variability is a robust finding.

Just to say, you didn't actually support this. Unless it is supported in the Dreary study?

Comment author: HughRistik 30 April 2010 07:02:09PM 0 points [-]

Just to say, you didn't actually support this. Unless it is supported in the Dreary study?

It's supported at least by the combination of the Deary study, and the cross-cultural study I mentioned that I'll have to look up when I get home. I believe the author was Feingold. Good question, though.

Comment author: byrnema 30 April 2010 07:09:37PM 0 points [-]

Oh, I see I parsed your sentence wrong anyway. I thought there were some unidentified number of studies that showed women had greater variability.

Comment author: HughRistik 30 April 2010 07:23:53PM 1 point [-]

My bad... The Feingold study is a meta-analyses of studies, some that find greater male variability, and some that find greater female variability in various dimensions.