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critiques i get from ppl who don't know stats: "Selection bias! Internet surveys aren't 'studies'! Just Aella's Audience!" from ppl who do know stats: "You should try [different new statistical method] instead, would account for [obscure math thing I need to go learn now]"
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The results are interesting and fun. But most readers make inferences about the broader population which makes selection bias is an issue. Saying it's only "Aella's audience" helps but doesn't solve it: it's some subset who choose to answer for diverse and unknown reasons.
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this would piss me off less if I saw the same critiques directed as much towards the majority of published, peer reviewed academic research that comes from surveys, which have *way* less representative samples than I do. The discrepancy in critique makes me think I'm targeted.
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And also, to clarify, the biggest survey I'm working on (500k people) is only around 5% my audience; the rest is from people who took the survey through tiktok and probably have never heard my name before.
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How much do you know about your audience? As I’m sure you’re aware academic studies often go out of their way to characterise study populations, so they can do fancy stats things. Do you have more info than “follows aella”?
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Yes! I both have been studying my own audience for many years (to the degree I am very good at predicting how to split questions in twitter polls for closer to 50-50 results), and I also include really comprehensive demographic questions in many of my surveys.
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If it makes you feel better, I get this critique from reviewers in almost every paper I write using survey data. And I use a similar response: it is what it is -- still interesting and even useful even if it may not be entirely representative.
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One concrete thing you can do that helps (but won't fully satisfy critics) is to compare respondents to non-respondents on observables like gender, age, etc. that you may be able to obtain from other sources. The other thing is not to sweat it too much - surveys are fun.
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my guess is: most people are unaware how much we depend on surveys, and how much goes into designing one well / interpreting results meaningfully so maybe not targeted, you just have the misfortune of being their first time grappling with the idea of surveys as research