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This measures percentage, not absolute numbers. The percentage dropped because loads of men joined tech when tech became lucrative. Before that it was a niche f
by backpropaganda 9y ago
This measures percentage, not absolute numbers. The percentage dropped because loads of men joined tech when tech became lucrative. Before that it was a niche field.
- jasonwatkinspdx 9y agoLast I checked women like making money too. Likewise, while software becoming lucrative is a global trend, the intense drop in womens involvement is not at all the same globally. And again, I'm pointing out that the author advanced biological and evolutionary psychology as mechanisms for explaining away this, despite them operating on time scales that make this impossible.
- backpropaganda 9y ago> Last I checked women like making money too. Not as much as men. See a study [1] and Steven Pinker's slide [2], and many more studies. It's a well established scientific consensus. > despite them operating on time scales that make this impossible. The author isn't claiming that men evolved within 100 years, but simply that men have in thousands of years evolved to have skills more suitable for programming by a small margin. When considering the 99%tile, this small difference becomes quite big. According to [3], you find 4-10 times more men in the top 1% bracket than women in certain skills. [1]: https://is.muni.cz/el/1423/jaro2011/SPP457/um/23632422/Hakim_2006.pdf https://is.muni.cz/el/1423/jaro2011/SPP457/um/23632422/Hakim... [2]: https://www.edge.org/3rd_culture/debate05/images/pinker.slides/pages/pinker_Page_24.htm https://www.edge.org/3rd_culture/debate05/images/pinker.slid... [3]: https://www.psychologytoday.com/files/attachments/56143/sex-differences-in-the-right-tail-cognitive-abilities.pdf https://www.psychologytoday.com/files/attachments/56143/sex-...