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from my escort survey, self-reported age and estimated monthly earnings. sample size kinda small, each bin is n=~40
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Since I have a tremor disorder and not enough characters to explain on Twitter, here’s an article that easily explains you don’t just do a survey on social media and call it a day.:
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well, while i agree with you in theory, i think i have a few issues with you saying all this. (1) the bins have an n=40, but according to the survey the overall n=283. second, SWer N is difficult to determine so an appropriate SWer n is also then difficult to determine 1/?
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there are important methodological issues happening here (e.g., selection bias and undercoverage), but imo the author isn’t claiming causality or generalizability (tho i could be wrong); rather it seems like they’re explaining associations which is different than causality 2/?
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but a lot of these problems could be solved with a more robust demographics section to calculate appropriate weights. but again, the author seems more concerned with something like “there is a trend for SWers on twitter” rather than “this is a causal factor in outcomes”
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you're not, though? you're acting like i'm making claims far beyond what i actually am. i'm sharing results from a survey i did, i'm not saying this is perfectly representative of all escorts. also i did estimate of total escort # here
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