i feel like im going paranoid/insane cause i cant tell if ppl critiquing my research are doing it cause they don't like me or cause there's actually issues. it's a really inconvenient thing to get paranoid about because it conflates learning and growth with ppl trying to hurt me!
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there's *definitely* ppl picking my stuff apart motivated by idk, stuff not directly related to my research, probably something like 'hostility towards aella is trendy' or 'aella is a sex worker and uncredentialed' or 'aella isnt metaphorically wearing a lab coat'
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but often when someone makes a critique, i don't know enough about the critique to tell if they have nefarious motivations, and it's really high cost (going to learn deeply about the topic) in order to tease them apart. i have to decide if i trust them based on other cues.
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They’re critiquing it because there’s social capital in the stats/data science world associated with tearing down (or at least doubting) others’ work.
Getting a statistician to say “hmm, that looks maybe okay” is a glowing endorsement.
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Compounded by your lack of credentials (stupid reason) and that they don’t like you (another stupid reason)
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If possible do a beta test with people you trust, so you have a sense for the landscape of potential issues and can spot legitimate criticisms more easily
Or… just skip the public comment part entirely if you can get enough trusted feedback
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Researchers do and should point out flaws in others research. I would suggest reaching out to some researchers in your field of interest to collaborate in designing some studies. You have the reach, they can help design study.
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I’m also bad at this, interpreting the worst intentioned dunks as earnest feedback for me to learn from. Now when I’m unsure I’ll just ask someone I trust and usually they can tell me which is which. Probably language models are decent at this too, so could ask chatgpt?
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