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The study differentiates between male and female only and purely based on physical features such as eye brows, mustache etc.
I agree you can’t see one’s gender but I would say for the study this can be ignored. If you want to measure a bias (‘women code better/worse than men’), it only matters what people believe to see. So if a person looks rather male than female for a majority of GitHub users, it can be counted as male in the statistics. Even if they have the opposite sex, are non-binary or indentify as something else, it shouldn’t impact one’s bias.
I’m not on your instance and I don’t know the link but I 100% agree to your sentiment. I think if we want Lemmy to grow and instances to flourish, we have to also federate the financial burden of hosting it. The admins already spend a lot of their free time on maintenance and content moderation, so those who can afford it should at least throw in some small donations. :)