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Joined 6 months ago
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Cake day: March 30th, 2024

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  • That’s interesting. Last year I visited an exhibition in Windischeschenbach / Germany where they drilled a hole that is more than 9000 meters deep to analyze the layers of the soil. There they said that they also penetrated several water basins while drilling that were completely isolated for billions of years. Still they didn’t find a single biologist willing to analyze these water samples. The reason that was given to me was that the liquid may contain completely unknown and highly dangerous bacteria, viruses etc.

    Permafrost to me is quite similar to these underground water basins in terms of isolation over a long period of time. So that’s what I based my original claim on.

    But I’m neither an expert in geology nor biology, so I can’t judge the potential risk.




  • 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.




  • Anyone found the specific numbers of acceptance rate with in comparison to no knowledge of the gender?

    On researchgate I only found the abstract and a chart that doesn’t indicate exactly which numbers are shown.

    edit:

    Interesting for me is that not only women but also men had significantly lower accepance rates once their gender was disclosed. So either we as humans have a really strange bias here or non binary coders are the only ones trusted.

    edit²:

    I’m not sure if I like the method of disclosing people’s gender here. Gendered profiles had their full name as their user name and/or a photography as their profile picture that indicates a gender.

    So it’s not only a gendered VS. non-gendered but also a anonymous VS. indentified individual comparison.

    And apparantly we trust people more if we know more about their skills (insiders rank way higher than outsiders) and less about the person behind (pseudonym VS. name/photography).