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Critiques from ppl who are v familiar with stats are typically actionable - they're recommending I go learn a new method or technique, trying to explain why it's the appropriate move here. Critiques from n00bs are always like "give up and stop trying, you're fundamentally flawed"
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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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I like your questionnaires. But aren't you afraid of what happens if let's say a politician with millions of followers retweets the survey? Isn't that an influence that's difficult to keep track off?
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Both critiques are valuable in their own way, though a lot of it is just people wanting to be dismissive of you. Probably the most helpful tool for you if you really want to head-off the first group would be using something like the CASP checklist as you write about your findings
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my main prob w your stuff is that almost all of your results indicate conditioning on a collider bc you’re trying to do causal analysis to suggest correlations in random non-causal phenomena. anyway i love survey methodology and internet quizzes so what can i say i’m stuck here
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