ok i get these comments ON THE REGULAR and here is an angry tweet thread about why they are wrong and should feel bad 1. ppl are always like, 'but selection bias tho.' Do you know what selection bias is, how it works, and why it's bad?https://twitter.com/_giovannimattei/status/1437462754949017604 …
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But this is the thing that bothers me - people don't realize that proposing a selection bias is proposing another theory for the results, and that depending on the type of question asked, this theory they're proposing is often extremely unlikely.
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It's like ppl just register that I'm asking through twitter, know that my twitter account doesn't have a good sampling of the population, and then assume this means that selection bias is a good theory for any sort of twitter poll finding. No! This isn't how it works!
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And I'm NOT saying that my childhood abuse/bdsm poll is conclusive, there's a lot of possible explanations for it and I'd want to replicate this in a better, more careful and detailed survey to check on other causes. But yelling 'selection bias' just makes me wanna punch you
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the way it's delivered to me is often a bad, lazy critique that doesnt understand how bias works or how it impacts things we check for. If you tell me *how* it might be selection bias then im happy to engage: what is your theory for the selection pressures on my respondents?
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If you're like 'hey aella, i think this might be mostly just due to selection bias because you have a high following in this one BDSM recovery from childhood abuse forum that you didn't know about", I'd be like whoah, that's a great point I had no idea
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Or there is an actual effect that correlates bdsm and *describing your childhood as abusive*. You're glossing over that when there is like, 1.6 times more chance of the BDSM respondents saying yes to abusive childhood, not a hard to explain difference at all under this frame.
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yes i did also think about thishttps://twitter.com/Aella_Girl/status/1437462875489062921 …
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This is so dumb, you could literally extend this argument to handwave away any effects of selection bias because "well, how likely does it 𝑠𝑒𝑒𝑚 that the sample I chose 𝑗𝑢𝑠𝑡 𝑠𝑜 ℎ𝑎𝑝𝑝𝑒𝑛𝑒𝑑 to cause a sampling bias that matches exactly the results I got?"
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no you cant use it to handwave away other effects of selection bias, if this were true you should predict that i 'never' think an effect is due to selection bias in my results, whereas I do sometimes think results are due to selection bias
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