
Freedman on regression's assumptions and the causal claims it cannot support
Chosen by shared topics, the entries that hold them, and the people who recommended both.
What each econometric technique is for, what it assumes and what goes wrong.
Recommended by: Nassim Nicholas Taleb
A mathematical theory of causation for statistics, AI, economics and science.
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
How the science of cause and effect moved past 'correlation is not causation'.
Recommended by: Bill Gates, Keith Rabois, Naval Ravikant
Topics