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Gender bias in open source: Pull request acceptance of women versus men (www.researchgate.net)

submitted 5 months ago by [email protected] to c/[email protected]

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Our results show that women's contributions tend to be accepted more often than men's [when their gender is hidden]. However, when a woman's gender is identifiable, they are rejected more often. Our results suggest that although women on GitHub may be more competent overall, bias against them exists nonetheless.

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[–] [email protected] 18 points 5 months ago

Thanks for grabbing the chart.

My Stats 101 alarm bells go off whenever I see a graph that does not start with 0 on the Y axis. It makes the differences look bigger than they are.

The 'outsiders, gendered' which is the headline stat, shows a 1% difference between women and men. When their gender is unknown there is a 3% difference in the other direction (I'm just eyeballing the graph here as they did not provide their underlying data, lol wtf ). So, overall, the sexism effect seems to be about 4%.

That's a bit crap but does not blow my hair back. I was expecting more, considering what we know about gender pay gaps, etc.