The article hides a common but incorrect assumption. Look at this paragraph: > As mentioned in the memo, gendered interests are predicted by exposure to prenatal testosterone – higher levels are associated with a preference for mechanically interesting things and occupations in adulthood. Lower levels are associated with a preference for people-oriented activities and occupations. This is why STEM (science, technolog…
> The assumption here is that employment in STEM industries fundamentally and solely involves "mechanically interesting things". It's not. Read the original memo. He especially mentioned that women gravitate to the more social jobs in STEM environments, but Google's diversity programs were trying to force them into the "code monkey" jobs instead, to spread them more evenly. > Strong technology is important for succes…
The current state of science suggests associations between gender, brain development, and career preferences. But women who are applying to Google for coding jobs are clearly stating their own individual career preferences. People apply for jobs they want.
Using population studies to try to contradict clearly expressed individual preferences is nonsensical; that's not how statistics works. It's like the old joke about the guy who carries a bomb onto a plane for safety, because "what are the chances that there are TWO bombs on one plane?"
And obviously associative data about preferences doesn't tell us anything about individual capability or qualifications.
Finally, if you actually ask women in STEM fields why they left or are considering leaving, career preferences are not the only answer. One also hears about disrespect, harassment, abuse--the glass ceiling. Again, this is real data that can't be lightly set aside just because it doesn't fit a narrative of biological determinism.