This is indeed in their abstract, but it's misleading. Take a look at page 15 of the preprint. Their data shows that gendered profiles have lower acceptance rat

This is indeed in their abstract, but it's misleading. Take a look at page 15 of the preprint. Their data shows that gendered profiles have lower acceptance rates for both genders; that is, pull requests from a gender-neutral profile are more likely to be accepted regardless of the gender of the person behind it. This paper gives the impression that the authors started out hoping to find evidence of discrimination in the form of a lower pull acceptance rate for women than men, they found the opposite, and then they data mined until they could find something they could use to argue there's an anti-woman bias.