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    > Read the link cited with that sentence and you might understand it
    better. It is saying that gender issues which affect men are not taken
    seriously and are discarded.

I wonder what gender issue Damore found himself facing. Homelessness? Murder? And when he raised those issues he was labeled a misogynist? That doesn't seem to fit.

It's hard to accept that there is nuance in the memo, because it's only found in broad sentences like this one:

    > Differences in distributions of traits between men and women may in part
    explain why we don't have 50% representation of women in tech and
    leadership.

There's nothing wrong with this sentence. The trouble is that he never concretely addresses reasons for the gender gap other than innate traits. There is some nuance in his memo, but there isn't enough.

What about all these documented biases? Surely these are affecting womens' careers too:

* Men get better assignments. https://hbr.org/2013/09/women-in-the-workplace-a-research-ro...

* People assume mothers to be inherently less competent and less committed than fathers. https://hbr.org/2013/09/women-in-the-workplace-a-research-ro...

* Women negotiate as often as men, but face pushback when they do. https://womenintheworkplace.com/

* Women get less access to senior leaders. https://womenintheworkplace.com/

* Women ask for feedback as often as men, but are less likely to receive it. https://womenintheworkplace.com/

* Women get less useful feedback than men. https://hbr.org/2016/04/research-vague-feedback-is-holding-w...

* Women get criticized more than men. http://fortune.com/2014/08/26/performance-review-gender-bias...

* Women are more frequently characterized as “too agressive”. https://www.wsj.com/articles/gender-bias-at-work-turns-up-in...

* Women leaders face higher standards and lower rewards than men leaders. http://www.catalyst.org/knowledge/double-bind

* Women leaders are perceived as competent or liked, but rarely both. http://www.catalyst.org/knowledge/double-bind

* Women’s code is accepted more often than men’s, but only if gender is hidden. http://www.bbc.com/news/technology-35559439

Sure, he says that innate traits are only part of the cause. But the rest of his essay implies they are the primary cause.

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> For the rest of this document, I’ll concentrate on the extreme stance that all differences in outcome are due to differential treatment and the authoritarian element that’s required to actually discriminate to create equal representation.

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.

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.