> Distinguishes "healthy" food from "unhealthy" food > Implies wisdom and right to micromanage others' choices on that basishttps://twitter.com/bswud/status/814854786952658952 …
Anti-authoritarian, bleeding-heart Stirnerite,
. Banned in Sweden. SubGenius, Zhuangist, white-hat troll. Defrocked mathematician. Brain problems.
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St. Rev ☯️ 🏴 😻 Retweeted Ben Southwood
> Distinguishes "healthy" food from "unhealthy" food > Implies wisdom and right to micromanage others' choices on that basishttps://twitter.com/bswud/status/814854786952658952 …
St. Rev ☯️ 🏴 😻 added,
OK, I skimmed the paper. The p-values appear to have been rolled with percentile dice. There's a p-value of 0.99 in one place!pic.twitter.com/59I3dgro8v
very tortured reading of the paper... Point is that it's unlikely income *causes* dietary decisions. Genes/culture more likely
of course there are some high p-values that's a whole table! They don't want you to draw from the high p results...
Green Jellybean Effect. If you naively generate 20 p-values on 20 different tests, odds are good you'll get one < 0.05.
that's a point in general, but what are they supposed to do in this case? Censor cells in their table? Merely reporting all data
routine to report p values for non-central hypotheses. Look at any econometric paper!
your point proves too much: implies that every inter-relationship should be significant!!
I'm an algebraist, not a statistician, but I know there are ways to do multiple hypothesis significance tests.
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