“The largest data gap in history, affecting half the population” - An excellent @romanmars interview with @CCriadoPerez on gender bias and gendered assumptions in data and design @Data2X @NormaAltshuler #genderdatahttps://overcast.fm/+DBwG_uk
-
To my ears and eyes, the discussion is abt both gender & sex. eg, the opening anecdote in the interview abt commuting patterns relates to gender roles & norms; a subsequent point abt testing drugs has to do with biological sex. Thx for pointing out the value of clarity on this.
The interview slips annoying between gender and sex, but it is clear that the issue that 
'Gendered roles' but sex-disagregated data (i.e the invisible people themselves are women = female people, not 'people who identify as women') Which has become an oddly controversial thing to say & many orgs are now confused & collecting data based on 'gender identity' not sex