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  • This should be automatic now in any statistical analysis given ubiquity of coding agents.
  • Where did he get the attractivess distribution, from the paper??
  • You were just one click away from finding out:

    "Figure 2. Using a sample of 2,972 respondents from the National Longitudinal Study of Adolescent Health, each of whom had been rated on a five-point scale of attractiveness […]"

  • This technique is very useful to gain intuition for a given sample size. Just run a few simulations with uncorrelated data and then you can get a sense of how extreme the estimators can be.
  • An article named “This is how we do modern frequentist statistics” is an excerpt from a book called “Bayesian workflows”

    Where is the article explaining that?

    Anyway, great article, thanks for sharing.

  • From your description, I thought “wait, is this going to be Andrew Gelman?”

    It is.

    (For context: https://youtu.be/ZmbrsbYwRWw )

  • Wait a bayesian advocate using a frequentist approach and not having a fight over which branch is supreme. What's happening with the world. I guess all stats united against AI.