• Zagorath
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    283 months ago

    I like the meme, but I don’t think it actually works. The implication here is that there’s a correlation between confusing correlation with causation and dying. But there isn’t such a correlation. You are statistically equally likely to die either way

    • @credo@lemmy.world
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      3 months ago

      THATS THE JOKE

      I see the confusion now. It’s evident in the thread below. Carry on.

      • Zagorath
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        143 months ago

        No, it’s not. The joke is that there is a correlation, but that actually correlation doesn’t mean causation. But here we have a situation where there is neither correlation nor causation.

        The problem is that the joke suggests that correlation is when A -> B (or at least it appears as such). Implication (in formal logic) is not the same as correlation.

        • @credo@lemmy.world
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          3 months ago

          Sorry to get mathematical…

          P(A∣B)=P(A) iff

          P(B∣A)=P(B) iff

          P(A∩B)=P(A)P(B)

          ->𝐴 and 𝐵 are uncorrelated or independent.

          There is no correlation with events with probability 1

          • @tetris11@lemmy.ml
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            63 months ago

            isn’t that just Bayesian apologist propaganda?
            *jumps in an unlabelled Frequentist van* “Floor it!”

        • FundMECFS
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          63 months ago

          Yup.

          If the rate of dying is 100% for all humans.

          Then the rate of dying for both humans who confuse correlation and causation and those who don’t is 100%. Hence there is no correlation between the confusion and dying. So no one is confusing correlation or causation, because neither are present.

    • snooggums
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      33 months ago

      You are statistically equally likely to die either way

      That just adds an additional layer to the joke without undermining the intended punchline about people confusing the two.