So the one percent of people who are trans are going to fuck up medical statistics? That’s your pathetic excuse for these comments? The most generous one can possibly be with you here is to say that’s a huge stretch. It’s certainly a weird thing to focus on.
I’m saying they should be accurately recorded so they can be accounted for. If you can’t see how this is a big deal, I can’t help you.
I honestly don’t care what you identify as. Be a fucking apache attack helicopter. I don’t give a shit. I want people to be able data from specific birthd and have them be able to accurately correlate the data. I don’t want the data to be fucked up because someone decided that they are a different gender.
People lying on surveys and to doctors about a million other things has impacted medical data 37648383773838273738% more than this ever possibly could. I suppose you’re trying to do something about those people right? Hmm weird how that never once occurred to you. It’s almost like you’re looking for a justification for spreading subtle hatred.
For not caring about what somebody identifies as you sure seem to care quite a bit. Your reasoning seems to be a bit obtuse. It sounds like concern trolling more than anything.
Ironic that you’re defending a transphobe from that lemmy instance.
Yes, they are a transphobe. I read a dozen of their comments before making that conclusion. They are hiding behind a lie, it doesn’t fool me. I suspect you’re seeing what you want to see because you too are obsessed with strangers birth genitals
I’d argue it simply makes them a bad data scientist. Biology cares not for the categories we create to explain it, and the purpose of categorization is to make sense of what’s already in the world, not to prescribe how it should be. Exceptions exist everywhere, not just in trans people. If your modeling of the data is inaccurate because you only have a binary categorization of sex, that categorization is to blame, not the people who the data represents.
So ultimately, in medical studies, perhaps it’s important to note how you categorized your subjects’ sex, how that relates to the mechanisms of what you’re studying, and perhaps studying trans people’s data further can provide more insights e.g. how hormones affect a condition. Science and data is reliant on the narratives we use to inspect and describe it, and the less of our societal baggage we impose on that process, the better.
So the one percent of people who are trans are going to fuck up medical statistics? That’s your pathetic excuse for these comments? The most generous one can possibly be with you here is to say that’s a huge stretch. It’s certainly a weird thing to focus on.
I’m saying they should be accurately recorded so they can be accounted for. If you can’t see how this is a big deal, I can’t help you.
I honestly don’t care what you identify as. Be a fucking apache attack helicopter. I don’t give a shit. I want people to be able data from specific birthd and have them be able to accurately correlate the data. I don’t want the data to be fucked up because someone decided that they are a different gender.
People lying on surveys and to doctors about a million other things has impacted medical data 37648383773838273738% more than this ever possibly could. I suppose you’re trying to do something about those people right? Hmm weird how that never once occurred to you. It’s almost like you’re looking for a justification for spreading subtle hatred.
For not caring about what somebody identifies as you sure seem to care quite a bit. Your reasoning seems to be a bit obtuse. It sounds like concern trolling more than anything.
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Removed by mod
Ironic that you’re defending a transphobe from that lemmy instance.
Yes, they are a transphobe. I read a dozen of their comments before making that conclusion. They are hiding behind a lie, it doesn’t fool me. I suspect you’re seeing what you want to see because you too are obsessed with strangers birth genitals
Not anymore they’re not.
Did they get the ban hammer? ❤️
Big time!
Thanks for all you do!
De nada
I’d argue it simply makes them a bad data scientist. Biology cares not for the categories we create to explain it, and the purpose of categorization is to make sense of what’s already in the world, not to prescribe how it should be. Exceptions exist everywhere, not just in trans people. If your modeling of the data is inaccurate because you only have a binary categorization of sex, that categorization is to blame, not the people who the data represents.
So ultimately, in medical studies, perhaps it’s important to note how you categorized your subjects’ sex, how that relates to the mechanisms of what you’re studying, and perhaps studying trans people’s data further can provide more insights e.g. how hormones affect a condition. Science and data is reliant on the narratives we use to inspect and describe it, and the less of our societal baggage we impose on that process, the better.