rvilj
https://nyctographa.substack.com/p/the-plural-of-octopus-20-...
See the example used in the twitter thread I linked:
> Imagine driving a car, reaching a hill and pumping the gas as you begin to go up so that your speed is constant. The correlation between pressing on the gas and the speed of the car is zero but they're obviously causally related, it's that the agent is optimizing speed!
> Probably the shortest true statement that can be made about causality and correlation is "Empirically observed covariation is a necessary but not sufficient condition for causality."
Correlation isn't necessary for causation, so ironically the supposed mutilation used to fit on a PP slide - "Correlation is not causation" - is actually far more correct.
The same mistake is also made in Kahneman, Sibony and Sunstein's new book [1].
[1] https://twitter.com/economeager/status/1395791301627596806