• Zagorath
    link
    fedilink
    English
    296 days 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

    • @[email protected]
      link
      fedilink
      English
      19
      edit-2
      6 days ago

      THATS THE JOKE

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

      • Zagorath
        link
        fedilink
        English
        146 days 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.

        • @[email protected]
          link
          fedilink
          English
          13
          edit-2
          6 days 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

          • @[email protected]
            link
            fedilink
            English
            66 days ago

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

          • @[email protected]
            link
            fedilink
            English
            26 days ago

            Don’t even need to bring probability into this. Death is certain, and correlation requires variance.

        • FundMECFS
          link
          fedilink
          English
          66 days 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.

    • @RedditRefugee69
      link
      English
      106 days ago

      This is why you never check the comments on a joke you initially thought was funny.

    • snooggums
      link
      fedilink
      English
      36 days 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.