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P-hacking, Reproducibility & the Nobel Prize: Guido Imbens (#269)

Into the Impossible With Brian Keating

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The Problem With Causal Effects

In statistics, the study of causal effects was really in the context of randomized experiments. We take a set of individuals or some population, we split them into two groups and give one to another. And because we actually randomize as Fisher kind of stressed, if you actually do the physical randomization, we know that even if these groups are different, the chances that they're very different is controlled. That's why the Food and Drug Administration insists for new treatments that we actually do randomize experiments.

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