Statistical Modeling, Causal Inference, and Social Science
Reflections on Lakatos’s “Proofs and Refutations”
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University
Thursday, February 11, 2021
Reflections on Lakatos’s “Proofs and Refutations” — Andrew Gelman
Statistical Modeling, Causal Inference, and Social Science
Reflections on Lakatos’s “Proofs and Refutations”
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University
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3 comments:
Great post, Tom! Keep this coming!
“Lakatos’s later work was in the philosophy of science, where his synthesis of the ideas of Karl Popper and Thomas Kuhn led to a sophisticated falsificationist model of scientific practice”
This is funny ... what he is trying to get to is discrimination but he somehow thinks he has to go thru synthesis to get there...
#Artist
“I learned the proper order of mathematical reasoning: first the problem, then the theorem, then the proof, with the definition at the very end.”
Should be: “I learned the proper order of mathematical reasoning: first the problem, then the hypothesis....”
The guy is not discriminating between a Thesis (theorem) and a Hypothesis...
Liberal Art methodology leaves the student under developed in ability to discriminate... over development in ability to synthesize...
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