> there is a tinge of implicit buy-in of gender stereotyping in her writing She emphasized that you can't predict an individual from population characteristics

> there is a tinge of implicit buy-in of gender stereotyping in her writing She emphasized that you can't predict an individual from population characteristics many times. But if you're concerned about overall diversity and not just if a particular individual has access, then you must concern yourself, at least somewhat, with population characteristics. Sterotyping is a sin if you use it for discrimination, it's humanitarian when you use it -- for example-- to save people from breast and prostate cancer. > it basically boiled down to "we learn differently", and i just find that woefully inadequate It may not take much of a difference in averages in the gendered sub-populations to make a big difference in tech's gender balance if you make the assumption that tech is selecting for people several standard deviations away from the norm.