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.
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.
Do you think that they don’t have your whole medical history? Like if they’re looking for a Y-chromosome associated cancer they’ll just pull up my surgical and prescription history and see “oh yeah that’s related” or they’ll order a karyotyping to ensure they’re correct because XY-AFAB people and XX-AMAB people aren’t *that^ rare of an intersex condition, especially as chimerism is downright common.
However what’s much more common is hormonally associated phenomena that aren’t extremely well known to be such. The most famous example is that after not very long on hormones trans people’s heart attack symptoms change to our hormonal sex’s. For a long time it was so rarely known amongst emergency room professionals that trans people were more likely to die of a heart attack.
But beyond this, that’s medical professionals and it’s a complicated discussion that’s currently happening in both the medical and trans communities by those who are affected most by it and those who are experts on these topics. What was clearly meant by this post was not that, but rather that people should feel 100% certain as to what is between the legs of every acquaintance and stranger they meet and that the government needs to know what each and every individual’s birth sex is.
So adjust the data. That’s what science is. It’s always changing as we learn more about ourselves and our universe. Look, I’m really sorry that statistical conclusions drawn from inaccurate data aren’t helpful, but that’s true whether trans people exist or not.
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Hey, I’ve got a novel idea. Stay out of other people’s pants. Ez PZ.
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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.
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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!
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.
Do you think that they don’t have your whole medical history? Like if they’re looking for a Y-chromosome associated cancer they’ll just pull up my surgical and prescription history and see “oh yeah that’s related” or they’ll order a karyotyping to ensure they’re correct because XY-AFAB people and XX-AMAB people aren’t *that^ rare of an intersex condition, especially as chimerism is downright common.
However what’s much more common is hormonally associated phenomena that aren’t extremely well known to be such. The most famous example is that after not very long on hormones trans people’s heart attack symptoms change to our hormonal sex’s. For a long time it was so rarely known amongst emergency room professionals that trans people were more likely to die of a heart attack.
But beyond this, that’s medical professionals and it’s a complicated discussion that’s currently happening in both the medical and trans communities by those who are affected most by it and those who are experts on these topics. What was clearly meant by this post was not that, but rather that people should feel 100% certain as to what is between the legs of every acquaintance and stranger they meet and that the government needs to know what each and every individual’s birth sex is.
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So adjust the data. That’s what science is. It’s always changing as we learn more about ourselves and our universe. Look, I’m really sorry that statistical conclusions drawn from inaccurate data aren’t helpful, but that’s true whether trans people exist or not.