Man, I really don't want to be a Damore apologist, but-
"that women were innately less qualified"
He never said that, though. If you have to grossly misrepresent his argument like that, you've demonstrated that you have no good faith retort and have lost the argument at the outset.
His paper was about on the average traits. That if you've split humans into various subsets -- for instance ethnicity, sex, age, etc -- each group has average and percentile traits on a variety of axes, whether it's aptitudes or intelligence spread (e.g. the variability hypothesis), musculature, long distance running, etc. These traits have negligible applicability to any individual person or subset, but if you're selecting from the whole set for exceptional extremes, you likely will get a set that doesn't demographically represent the whole.
NBA/NFL/NHL/MLB players. Nobel prize winners. Top mathematicians. Long distance runners. And so on.
Damore's mistake was that a) there was no value in publishing this, b) he is on the spectrum and didn't realize how dangerous this absolute statement of fact was.
You say that he had bad science, but then you link to a piece that says that it's "politically naive, and at worst dangerous". Which is precisely the sort of tired "but it isn't socially acceptable" sort of response that is just boorish and unproductive.
I get why Google fired him. They pretty much had to (though I would argue that he could have contested it as punishing his handicap). But for all his folly, when people have to misrepresent what he said, or do the "it's bad science because I don't like it"....meh.
The problem with the averages argument is not that it’s wrong but that the established biological causes have been for basic low-level things like grip strength but not for higher level cognitive behaviour, especially at the level of software engineering at Google which combines a number of different advanced skills – and there’s a fair variation in the mix of skills equally successful people use, too. Running is a much simpler, highly physical skill which was highly relevant to our evolutionary history whereas being a senior engineer involves a mix of cognitive skills developed over a longer time in a highly social environment, and there just isn’t high-quality data linking those skills to innate biological traits at the level needed to explain the current outcomes.
Complex behavior is very hard to link to underlying biology because our brains are incredibly plastic and actual researchers spend a lot of time looking for ways to tease out the complex interplay between genes and training. I used to support some neuroscience labs which studied things like this but the researchers were careful to note the difference in confidence between the effects they measured and the attempts to identify the underlying biology (e.g. maybe undergrad men could track more moving objects than women, but if monkeys didn’t show an effect you might want to check things like how many hours they spent playing ball sports or video games). Everyone was generally of the opinion that there were innate differences, but that they couldn’t be anywhere near the magnitude we see with athletic performance because too many well-crafted studies have been done to miss something big.
When you’re looking at those bell curves, it’s important to remember that even if you ignore the questions about the methodology for things like personality traits the overlap is tighter than shown, and contrary to one of his foundational claims, there’s enough cultural variation to suggest that the effect is not biological in origin. The first piece I linked discusses at some length how he was thrown off by the Wikipedia summary of a meta-analysis paper on personality traits which found very limited effects, with one analysis within the margin of error. That pattern continues for the few claims he makes in enough detail to assess: inconclusive data, mistakes cribbed from intermediary sources, or failing to link a very low level behaviour to success at a company like Google.
That last part is really important to think about with all of the evo-psych stories which claim our social dynamics of today are based on our evolutionary history without considering just how different the skills we use to work in offices developing software are from a hunter-gatherer lifestyle – anyone at Google is working with more people than was common in most of our evolutionary history!
Hey, just wanted to say thanks for this comment. This is a substantive rebuttal that doesn't make any claims of what he said that are untrue, and I pretty much consider it also a response to my sibling comment in reply to you. I also agree with pretty much everything you said here.
"that women were innately less qualified"
He never said that, though. If you have to grossly misrepresent his argument like that, you've demonstrated that you have no good faith retort and have lost the argument at the outset.
His paper was about on the average traits. That if you've split humans into various subsets -- for instance ethnicity, sex, age, etc -- each group has average and percentile traits on a variety of axes, whether it's aptitudes or intelligence spread (e.g. the variability hypothesis), musculature, long distance running, etc. These traits have negligible applicability to any individual person or subset, but if you're selecting from the whole set for exceptional extremes, you likely will get a set that doesn't demographically represent the whole.
NBA/NFL/NHL/MLB players. Nobel prize winners. Top mathematicians. Long distance runners. And so on.
Damore's mistake was that a) there was no value in publishing this, b) he is on the spectrum and didn't realize how dangerous this absolute statement of fact was.
You say that he had bad science, but then you link to a piece that says that it's "politically naive, and at worst dangerous". Which is precisely the sort of tired "but it isn't socially acceptable" sort of response that is just boorish and unproductive.
I get why Google fired him. They pretty much had to (though I would argue that he could have contested it as punishing his handicap). But for all his folly, when people have to misrepresent what he said, or do the "it's bad science because I don't like it"....meh.