Pull Requests Are Accepted At About The Same Rate, Regardless of Gender (techinasia.com)
An anonymous reader writes:
Remember that story about how women "get pull requests accepted more (except when you know they're women)." The study actually showed that men also had their code accepted more often when their gender wasn't known, according to Tech In Asia -- and more importantly, the lower acceptance rates (for both men and women) applied mostly to code submitters from outside the GitHub community. "Among insiders, there's no evidence of discrimination against women. In fact, the reverse is true: women who are on the inside and whose genders are easy to discern get more of their code approved, and to a statistically significant degree."
Eight months after the story ran, the BBC finally re-wrote their original headline ("Women write better code, study suggests") and added the crucial detail that acceptance rates for women fell "if they were not regulars on the service and were identified by their gender."
Eight months after the story ran, the BBC finally re-wrote their original headline ("Women write better code, study suggests") and added the crucial detail that acceptance rates for women fell "if they were not regulars on the service and were identified by their gender."
Since both men and women have their code accepted at higher rates when you know their gender, I wonder if there is a relationship between knowing more about a person and accepting their code. Does knowing someone better mean you are more accepting of their work? If Beth is a working mother of 5 and you know this, does that knowledge make you more or less likely to approve of her code opposed to only knowing that someone made a merge request?
This is a huge misunderstanding of discrimination:
"no evidence of discrimination against women. In fact, the reverse is true: women who are on the inside and whose genders are easy to discern get more of their code approved, and to a statistically significant degree"
It is still unjust to give them preferential treatment. This is a common misconception from the early days of chivalry: putting a woman on a pedestal just because she is a woman is still discriminating against her.
If there were no discrimination at all, there would be no gender bias. The fact that the author does not understand this is an example of ... wait for it ... institutional gender discrimination.