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I think the biggest mistake he makes is about magnitude of those effects and the specific outcomes.

We don't really know how much of a difference those biological differences make. There is a lot of research that show women (on AVERAGE) are more people oriented. But the percentage and distribution of women vs men that are thing vs people oriented isn't well settled. We have some data on outlooks in adults but that is obviously _not_ pre-culture.

When looking at [research on the matter](http://emilkirkegaard.dk/en/wp-content/uploads/Men-and-thing...):

  Therefore, from the inter-individual perspective,the 
  individuals who pursue STEM careers are more likely to 
  be male than female. For example, assuming that 
  individuals within the highest 25% of a population 
  interest distribution are likely to make occupational 
  choices consistent with an interest type, the number of 
  women entering the engineering occupation, then, is only 
  19.5% of the number of men entering the field. This 
  percentage is very similar to the actual female–male 
  ratio of individuals employed in engineering. In science 
  and mathematics interest distributions, the female–male 
  ratios in the upper 25% asymptote are 0.60 and 0.64, 
  respectively. However, the actual female–male ratio of 
  individuals employed in the field of physical sciences 
  is only about 0.40 and, in mathematics, it is about 
  0.45. This discrepancy between interest data and real 
  employment composition indicates that there may be 
  reasons other than sex differences in interests that can 
  account for gender disparity in science and mathematics.
Considering Google pulls a lot from the Science and Mathematics fields (Dalmore is one such individual), I would expect Google's 83% male to 17% female engineering composition is somewhat skewed by sexism.
Wikipedia is not a scientific source, nor is it (at all) an unbiased source.
All due respect, wikipedia cites only published scientific articles. You're of course free to edit it if you think it has an anti-left bias...