• Sibbo
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    2 days ago

    P-hacking is the academically problematic practice of attempting to come up with a question for which the data offers a significant p-value (probability value), as opposed to correct scientific analysis in which a question is formulated clearly and then answered with data.

    It took a while to parse this comic, but with the explanation it’s probably much easier to understand for anyone who doesn’t know what P-hacking is.

    • Agent641@lemmy.world
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      2 days ago

      Reduce the sample size by increasing qualifying parameters until you find a dataset that matches your hypothesis in such a way that the research grant will be approved.

      • psycotica0@lemmy.ca
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        2 days ago

        Sometimes even worse, which is to collect a raft of data testing one hypothesis, and then realize it all came up empty, and so go looking for any data you can form a new hypothesis from that matches the data you already have.

    • Grail@multiverse.soulism.net
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      2 days ago

      One thing you can use p-hacking for is that if you want to prove vaccines are bad, give a bunch of kids vaccines and measure 20 different vital indicators. Then theorise that the vital indicator which got worse was caused by the vaccines.

    • Windex007@lemmy.world
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      2 days ago

      Thanks for that. I’d never heard the term before.

      It sounds a little subjective though? Are there features that can be used to quantity how “P-Hacky” something is?

      I feel like a sports state of “a team tends to lose if thier top scoring player in the first quarter is injured before the end of the first half” has a lot of specific weirdness, but my intuition drives that this specifically could be a very legitimate observation.

      How do you draw the line?