queers at the centre of computing technologies from the start
Influence of Alan Turing, Bletchley codebreakers, for one of many examples
industries with exceptions to demographic statistics - how being transfem in tech is common but being transmasc in tech is often a financial/visible diversity/etc loss, corporate diversity initiatives unsuited to actually increasing diversity in general but also specifically ‘women in STEM’ type initiatives further marginalise both transmascs and transfems, leaves no room for gnc/fluid/non-binary people who can’t/won’t conform to the decision-makers’ model of womanhood

industries with exceptions to demographic statistics

eg how being transfem in tech is actually common but being transmasc in tech is often a financial/visible diversity/etc loss, corporate diversity initiatives unsuited to actually increasing diversity in general but also specifically ‘women in STEM’ type initiatives further marginalise transmascs and non-binary people of all flavours
eg in my experience
men in nursing
men in childcare
men in nurseries