Jesus Christ this thing is off the charts. The author has gathered a whole bunch of “Sexist assumptions” (at least they admit to them being assumptions) with no explanation of where they got these assumptions from (their arse). In no way did Damore say or imply any of that stuff. The author has completely misinterpreted the whole thing because they don’t understand that he was talking about distributions, not any female specifically, and because of that has conjured up a whole bunch of other allegations of sexism they think he would probably think, because he’s a sexist (according to them).
No wonder why this thing is so controversial, particularly to the far left, because of articles like this which spread misinformation and hate. Absolutely unreal.
Where Gender (, Race, Sexual Orientation, etc.) bias is suspected, especially when it comes to non-face-to-face interactions, anonymise the names.
So for example with GitHub, make everyone use an Alias than their real name and see what happens.
For example with Google, get the recruiters to go over resumes with names like “applicant #12345”.
Damore’s memo seems to think that it’s not the perceptions of females which is the issue, but the predisposition of females and males to have certain personality traits, and by extension those personality traits over a broad population make them more likely to choose jobs which are more suited to those personality traits (if they did and up with those personality traits that are more common).
Examples: More women have a lot of compassion in their personality than men, so that might make them want to be nurses. More men want to do anything get to the top than women, so that might make them want to be CEOs.
It doesn’t mean that men can’t be good nurses nor can women be good CEOs. It doesn’t mean that there aren’t men who want to be nurses and women who want to be CEOs. It’s just general predispositions over a large distribution of people.
It’s not inherently sexist, it’s just that he is coming from the perspective of STEM/Google. The same problems he describes would happen if it was a Hospital who were specifically favouring male applicants to be hired as nurses to balance out the gender ratio (rather than addressing ways to make the job more appealing to their personality so that the pool of good male applicants would be higher and they wouldn’t have to apply any favouritism).
His suggestion is to make the jobs more appealing to the demographic like offering better work/life balance (part time compared to full time+overtime), try reducing stress, allow coders to work in pairs than alone so that there is more social interaction.