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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Exactly, it's clear the hypothesis being tested in the question. It's very likely that people who match the hypothesis will be motivated to answer.
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Yes, true! I also often test this explicitly by asking questions together, and then also separate (at different times) to see if total % clusters are different.
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the difference in % answers when i do the spot checks in other polls is usually much smaller than 15%, so I assume it's unlikely that this one (out of all the other loaded ones I've done) is subject to this 'identity effect' or whatever. But if i replicated with a study id
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