top | item 46937396 (no title) kingkawn | 21 days ago Or overestimate? discuss order hn newest tfirst|21 days 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. MichaelDickens|21 days 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? load replies (2) kingkawn|21 days ago “Still probably” is classic statistical science
tfirst|21 days 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. MichaelDickens|21 days 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? load replies (2) kingkawn|21 days ago “Still probably” is classic statistical science
MichaelDickens|21 days 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? load replies (2)
tfirst|21 days ago
However, the estimates are still probably overestimated. Confounding, p-hacking, publication bias, all move us towards larger estimates.
MichaelDickens|21 days ago
kingkawn|21 days ago