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The study does not provide enough information to determine whether this is statistically significant.Eyeballing it it looks like it might be, just barely. The study describes its main finding as being that women have fewer requests approved when their gender is known.
The study is Gender Bias In Open Source: Pull Request Acceptance Of Women Vs. It’s a pretty neat idea: “pull requests” are discrete units of contribution to an open source project which are either accepted or rejected by the community, so just check which ones are submitted by men vs.There is a similar drop for men, but the effect is not as strong.” In other words, they conclude there is gender bias among outsiders because obvious-women do worse than gender-anonymized-women.They admit that obvious-men also do worse than gender-anonymized men, but they ignore this effect because it’s smaller.That makes their better performance extra impressive.So the big question is whether this changes based on obviousness of gender.And suppose that the best people of all genders go to work at corporations, but a bigger percent of men go there than women.
Then being non-gendered would be a higher sign of quality in a man than in a woman.
Among outsiders, women do the same as/better than men when gender is hidden, and the same as/worse than men when gender is revealed.
I can’t be more specific than this because the study doesn’t give numbers and I’m trying to eyeball confidence intervals on graphs.
Because Git Hub is big and their study is automated, they manage to get a really nice sample size – about 2.5 million pull requests by men and 150,000 by women. ) requests accepted than men for all of the top ten programming languages.
They check some possible confounders – whether women make smaller changes (easier to get accepted) or whether their changes are more likely to serve an immediate project need (again, easier to get accepted) and in fact find the opposite – women’s changes are larger and less likely to serve project needs.
women and whether one gender gets a higher acceptance rate than the other.