One thing to keep in mind in all such cases is the edge cases are indeed tough, worthy of debate, but the principal offense is clear.
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This is exactly that situation in which a preprint can only strengthen your argument and demonstrate to others you came up with it.
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IMHO this is one of the rarest ways people scoop. Needs so much data and experimental overlap for them to steal your method of idea.
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Ah, def a field difference: in astro this is probably more common b/c there’s a lot of methodological overlap even for v diff sci results
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I addressed this in a side thread. Solved by preprints in many cases. That's certainly in part observational data vs exp data, like you say.
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I'm for example working on an big open observational dataset, I suppose I can say doing ML in polsci (not my field), and I'm completely
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silent on what I'm doing exactly because it's not written up fully yet. Once it's a preprint with a website etc etc i.e. the project is done
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then I'll discuss freely outside lab.
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