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Eyeballing it, it looks about 2/3 the size of the female effect, and maybe? The study has no hypothesis for why both sexes have fewer requests approved when their gender is known, without which it seems kind of hard to speculate about the significance of the phenomenon for one gender in particular.For example, suppose that the reason revealing gender decreases acceptance rates is because corporate contributors tend to use their (gendered) real names and non-corporate contributors tend to use handles like 133T_HAXX0R.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.Another day, another study purporting to find that Tech Is Sexist.Since it’s showing up here, you probably already guessed how this is going to end.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.

This is a little harder than it sounds – people on Git Hub use nicks that don’t always give gender cues – but the researchers wrote a program to automatically link contributor emails to Google Plus pages so they could figure out users’ genders.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.Eyeballing the graph, it looks like being a woman gives you about a 1% advantage.I don’t see any discussion of this result, even though it’s half the study, and as far as I can tell the more statistically significant half.

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