Selection bias is when you get misleading effects or conclusions or whatever due to how you selected the ppl you're asking about. As in, if you're measuring how nice ppl are and then ask ppl to volunteer for your study, you'll only be measuring ppl nice enough to volunteer.
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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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End of conversation
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I think that selection bias in a Twitter poll is inevitable and almost tautological. People today seek solace in the apparent intelligence that comes with pointing out the obvious.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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