Blind survey shows that female code farmers are better than male code farmers

In the world of programmers , The imbalance between men and women is particularly serious . The programmer community Stack Overflow Last year a project involved 2.6 A gender survey of 10000 programmers shows that , Only 5.8% It's women. , The proportion of men is as high as 92.1%( notes ： Options also include reluctance to disclose ). Silicon Valley technology companies 2014 The public data of shows , The proportion of female employees in Google is about 17%,Facebook about 15%, According to the QZ reports , A group of computer scientists discovered , Female programmers posted on GitHub Open source software on is more popular than male programmers .

GitHub It's a possession 1200 An open source software community of million users , Developers can initiate software projects , You can also write code for software projects initiated by others , When developers contribute code to others , The code will be submitted to the originator , The originator will determine whether the submitted code is useful , And then make “ adopt ”,“ Not through ” The judgment of the .

The researchers wrote in the survey report ,“ Before starting the investigation , We assume that the female programmer sends out ’ Pull request Pull Request’ The acceptance rate of is lower than that of male programmers , This is not the case . In this study , Scholars from the computer science departments of Caltech State University and North Carolina State University investigated the code hosting websites through 300 Research on 10000 code submissions , The research team found that the pass rate of the code written by my sister was 78.6%, And the code written by the man lost 4 percentage , Only 74.6%, The premise found above is ： The project sponsor does not know the gender of the author , If the project sponsor knows in advance that the code author is a woman , The passing rate dropped to 62.5%.

The report concluded that , If you put aside the gender factor , Female programmers are more recognized than male programmers , And this is a common phenomenon across many development languages ; But after adding gender characteristics , Their jobs are more likely to be rejected . let me put it another way , There is a gender bias in the world of code .

although GitHub Users do not need to indicate gender , But some registered users' avatars still show gender ; and , From their email correspondence Google＋ Account number can also identify gender . In order to study the influence of gender factors on code acceptance , The researchers identified 142 Gender of 10000 users . Those who can't tell gender GitHub Users were not included in the survey , Because there is a huge difference in the absolute number of male and female programmers , therefore GitHub Male and female programmers on “ Pull request ” There is also a significant gap in the number , But the researchers say , Male and female programmers “ Pull request ” The acceptance rate was statistically significant .

look , It is gender itself that restricts the career development of female programmers , Not their programming skills .