This is indeed in their abstract, but it&#x27;s misleading. Take a look at page 15 of the preprint. Their data shows that gendered profiles have lower acceptance rates for <i>both</i> 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.<p>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&#x27;s an anti-woman bias.