He wasn't applying broad trends to his individual coworkers. That was actually the opposite of what he was doing. I agree that he was drawing his own conclusions.
I will also post a link about the difference between male and female brains:
https://stanmed.stanford.edu/2017spring/how-mens-and-womens-brains-are-different.html
I fail to see the significance of the link above in this discussion. I mean, just look at what it says in the article:
"All these measured differences are averages derived from pooling widely varying individual results. While statistically significant, the differences tend not to be gigantic. They are most noticeable at the extremes of a bell curve, rather than in the middle, where most people cluster. Some argue that we may safely ignore them.
But the long list of behavioral tendencies in which male-female ratios are unbalanced extends to cognitive and neuropsychiatric disorders. Women are twice as likely as men to experience clinical depression in their lifetimes; likewise for post-traumatic stress disorder. Men are twice as likely to become alcoholic or drug-dependent, and 40 percent more likely to develop schizophrenia. Boys' dyslexia rate is perhaps 10 times that of girls, and they're four or five times as likely to get a diagnosis of autism spectrum disorder."
According to Stanford Medicine, the differences between the male and female brains are not very significant outside of the medical field. Cool, so nothing to do with Damore, his memo, Google, and women in tech.
I'm clearly talking about Damore.
Feel free to read this:
https://heterodoxacademy.org/2017/0...es-the-research-say-about-gender-differences/ Of course socialization also plays a part. Nobody is denying that.
That link has a ton of information as well as several links within that I'd have to dive into. There' not enough time for me to go through all of it so I'll just focus on this bolded part in the conclusion:
"
Population differences in interest and population differences in variability of abilities may help explain why there are fewer women in the applicant pool, but the women who choose to enter the pool are just as capable as the larger number of men in the pool. This conclusion does not deny that various forms of bias, harassment, and discouragement exist and may contribute to outcome disparities, nor does it imply that the differences in interest are biologically fixed and cannot be changed in future generations"
I would agree that there are biological differences between men and women, but what's more important in the current time are the social and psychological barriers that prevent women from going into technology and engineering.
To support Damore you would have to believe that the current ratio of men to women in the tech industry as close as possible to the true ratio in interest between the sexes and that trying to even it out with diversity efforts is actually detrimental to men. This is a ridiculous notion; as it was already mentioned, women used to be the majority of programmers and they made significant strides in its progress at the beginning. There's no reason why the current number of female programmers should be so low if we exclude social and psychological biases.