
Chosen by shared topics, the entries that hold them, and the people who recommended both.
How the science of cause and effect moved past 'correlation is not causation'.
Recommended by: Bill Gates, Keith Rabois, Naval Ravikant
What each econometric technique is for, what it assumes and what goes wrong.
Recommended by: Nassim Nicholas Taleb
How biased samples, chosen averages and cut-off chart axes make numbers mislead.
Recommended by: Bill Gates, Mohnish Pabrai, Morgan Housel and 6 others
A practical guide to causal inference: regression, instruments, differences.
Statistics without the maths, for reading claims: averages, correlation, regression.
Recommended by: Keith Rabois
Freedman on regression's assumptions and the causal claims it cannot support
Recommended by: Nassim Nicholas Taleb
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