(Free and Open Source Software) developers revealed that 95% of respondents identified as male. http://opensourcesurvey.org/2017 “[W]omen’s pull requests tend to be accepted more often than men’s, yet women’s acceptance rates are higher only when they are not identifiable as women. [...P]lausible explanations include the presence of gender bias in open source, survivorship and self-selection bias, and women being held to higher performance standards.” Emphasis added. https://peerj.com/articles/cs-111/