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> the author said women are less suited to being good engineers... Where was that stated?

DAMORE: "I'm simply stating that the distribution of preferences and abilities of men and women differ in part due to biological causes and that these differences may explain why we don’t see equal representation of women in tech and leadership."

EDIT: also https://youtu.be/TN1vEfqHGro?t=30m13s




And I think it's important to point out here that this argument is probably wrong. It is one of the many examples where Damore cites research, but puts his own spin on it. One of the researchers Danmore cited is David P Schmitt. Here [0] David states:

"But it is not clear to me how such sex differences are relevant to the Google workplace. And even if sex differences in negative emotionality were relevant to occupational performance (e.g., not being able to handle stressful assignments), the size of these negative emotion sex differences is not very large (typically, ranging between “small” to “moderate” in statistical effect size terminology; accounting for less than 10% of the variance). So, using someone’s biological sex to essentialize an entire group of people’s personality would be like operating with an axe. Not precise enough to do much good, probably will cause a lot of harm. Moreover, men are more emotional than women in certain ways, too. Sex differences in emotion depend on the type of emotion, how it is measured, where it is expressed, when it is expressed, and lots of other contextual factors."

A lot of the science that Danmore cites is correct. But he goes beyond what the science says in his memo. He misinterprets it to prove his point. This is my main problem with the memo, and why someone may call it sexist.

[0] http://quillette.com/2017/08/07/google-memo-four-scientists-...


So he's wrong. People in google should have worked that out, made a point of pointing it out to others, and got on with their work. Instead they freaked out, leaked to the media, and got this guy fired.


For real. Being wrong and having data to back it up, is a pretty honest mistake. We don't need a witch hunt over it.


Fact: women and men have varying distributions in abilities and traits - due to biology

Fact: women and men aren't distributed equally in tech and leadership.

And your conclusion is that anyone who presents these facts and says that maybe one causes the other means that women are "less suited" for engineering?

There is no logical basis for this. He didn't say what you are attributing to him.




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