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I work in a hard science and, while it may not look as egregious as p-hacking, my field is riddled with misapplication of statistics and problems that generally
by kiliantics 8y ago
I work in a hard science and, while it may not look as egregious as p-hacking, my field is riddled with misapplication of statistics and problems that generally follow the trend of your parent comment.
- khitan 8y agoFrom my background in the chemical sciences, p-hacking and significance testing in general simply are not relevant. It's not that people aren't necessarily sloppy or disingenuous, I mean literally that statistical testing is hardly ever done by anyone in any form even in most contemporary practice and is virtually nonexistent historically in my field and those adjacent to it. That's slowly starting to change as individual fields transition towards big data-y approaches, but 'p-hacking' as a phenomenon is something I would associate as an idiosyncrasy primarily of biomedicine and the social sciences; I do not think it has generalized explanatory power.