3 ms·

Or overestimate?

• tfirst 8mo ago
  Holding all else equal, noisier estimates bias us towards the null. This is attenuation bias. However, the estimates are still probably overestimated. Confounding, p-hacking, publication bias, all move us towards larger estimates.
  • kingkawn 8mo ago
    “Still probably” is classic statistical science
  • MichaelDickens 8mo ago
    I would think that, by default, noise would not have a bias? Adding noise doesn't change the mean, it just increases the variance, right?
    • namibj 8mo ago
      It pushes confidence bounds closer to the null hypothesis.
    • tfirst 8mo ago
      The Wikipedia page on this is not bad: https://en.wikipedia.org/wiki/Regression_dilution https://en.wikipedia.org/wiki/Regression_dilution