Hi, Committee rosters: Total: 4738 % Male: 75.3 % Female: 4.8 % Unknown: 19.9
The above is interesting e.g. Is that % drop just chance or an example of unconscious bias or something else like time commitment required? If it's not obvious this data over the previous represents 2219 people who have signed ICLAs but have never for one reason or another never become a committer. Committer vs PMC breakdown may also be interesting. Chairs: Total: 213 % Male: 78.9 % Female: 6.1 % Unknown: 15.0 And again slightly different percentages. What perhaps more striking is the unknown % being reduced, from 25% to 20% (and to 15%), that seem indicative of something.The gender guesser I’m using [1] has a database of 40,000 names and includes multiple nationalities but it could be favouring some sort of names over others and as could we. Looking further into the unknown names may give some insights. If anyone has any better insights into this, or can suggest what to look for, please speak up. Thanks, Justin 1. https://pypi.org/project/gender-guesser/
