, 6 tweets, 3 min read Read on Twitter
Let me give the most concentrated lecture about statistics/Data Science.

Statistics is about avoiding the mistake below. The rest is (more or less complicated) footnotes.
Here I explain. It's not that correlation is not causation, but that correlation is not correlation

3) My problem is with charlatans such as @michaelshermer with their promotion of "empirical evidence" in the name of "science" --not aware of spurious correlations, exactly the opposite of statistical inference. They argue from "facts" based on above spuriousness.
4) @HarryDCrane is making evidence a better place. LEARN FROM HIM. Remember that there is no scientific "evidence" w/o statistical significance.

Meanwhile, I am focusing on the Fat Tails aspect as it mushrooms the problem of naive & pseudo-empiricism.

5) BS Busting by probability people seems to have become a specialty. We now have an army!

6) But the grand doyen of Statistical BS Busting is the great @spyrosmakrid who started in the 1980s! He is the M in the M-competitions.
He was 10y early figuring out the scam w/hypertension treatment.

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