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5) In other words, statistics in not an IN SAMPLE description (this is called an "anecdote") but a representation of OUT OF SAMPLE properties (those that hold outside your sample set).
6) What we just saw with @HEtanShah retweeted by the "highly cited" medical statistician David Spiegelhalter @d_spiegel is the justification of this tweet.https://twitter.com/nntaleb/status/942367860709609472 …
7) The saddest was when I saw Brian Greene @bgreene making the mistake, then not understanding the error. The problem: because of packages, pple use statistics mechanistically so they either forget or don't know that "significance" is central in discussing/ comparing variables.
8) A more advanced discussion about "empiricism" with fat-tailed distributions.https://www.youtube.com/watch?v=0iw9oqnhVKQ …
The problem with the Royal Society stamp (granted by a nonstatistician) is that it is used as an excuse by charlatan @conradhackett as backup against arguments for rigor.https://twitter.com/conradhackett/status/944035942200958977 …
it is important we protect the sanctity of probability and not let it be pillaged by such nonsense.
don't worry about terrorism because most people die of heart disease.
we shouldn't really worry.
and millions of people mow their lawn and play golf and die and die too.
you two @HetanShah @d_spiegel are either struggling to understand your own professed specialty areas of knowledge or acting malfeasantly as public academics.
You'd benefit from clarifying your objection more. Those you criticise may see it as criticism for "stating an empirical fact" - so they ignore it. Seems like you're not disputing the fact itself; it's problematic because of inferences & policy debates that may naively be drawn.
Nassim excluding you and your crew, the world is one big retweet!
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