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"Eugenics was never about passive best-estimate prediction but rather about interventions." Aubrey Clayton excavates the troubling correlation between the birth of statistical methods and the history of eugenics. lareviewofbooks.org/article/the-co…

Think of all the ways correlation is ruling our world: the discussion of technology and young people; algos' decisions to target content & ads; polling... It is a means of trapping people into categories to manage them: social eugenics.

I know nothing of this research, but I think the idea that a trial with n=2 can never be meaningful is a product of frequentist-statistical brain poisoning. Many important experiments have had small n. To quote Oppenheimer: "Now I am become death, the destroyer of worlds (n=1)."

Yes, it's true (except for the way in which it's false).

Think I'll take to the sky for a bit. See you up there? bsky.app/profile/aubrey…

On Reddit's statistics forum, the most common question is "What test should I use?" My answer, from 2011, is "There is only one test" allendowney.blogspot.com/2011/05/there-…

The interrelated histories of the eugenics movement and statistics, particularly as they overlap in the concept of correlation, should caution us against being taken in by the seeming neutrality of mathematical formulae. Los Angeles Review of Books lareviewofbooks.org/article/the-co…

Then there are some who, upon learning that frequentist statistics is entangled with the eugenics movement, will find it a huge point in its favor.

I got one of my favorite emails this morning: "The analysis of the Monty Hall problem in your book is wrong !" Well, my friend, your brain is in for a long ride -- let's get started...

Messier relationships, you say? I hope the Eagle Nebula finally gets together with Ptolemy's Cluster

A fascinating example of statistical brain poisoning. What would it mean for a die to be "unbiased" and how could you ever tell? Unbiased dice, fair coins, etc., are like isosceles right triangles. Useful to think about in theory but never encountered in the real world.

Statistics in the 21st century youtu.be/hFh2fseiZPI

Next Tuesday (9/17) at 4pm ET I'll be joining an online panel hosted by the University of Virginia on the subjects of statistics, AI, and society. Naturally I'll use my time to talk about how racist Karl Pearson was. Registration is open now! karshinstitute.virginia.edu/events/co-opti…

My personal belief is you should just have basic human decency to not to talk to people this way, especially if you’re a public figure with 1M+ followers and the person you’re yelling at is a grad student with ~400 followers

Stats people love to talk about how ML/AI is "just stats" and yet don't like to chat about the co-development of early statistics with the eugenics movement. Trust me, AI is not the first time mathematics was used for questionable ends.

Deep learning algorithms are revolutionizing weather forecasting. Learn more about it as Photay reads "How to Predict Extreme Weather" by Aubrey Clayton in a new Nautilus Narration. YouTube: bit.ly/3CiJeIk Spotify: bit.ly/3NXPecb