The Statistical Crisis in Science and How to Move Forward by Professor Andrew Gelman

Andrew Gelman, Higgins Professor of Statistics, Professor of Political Science, and Director of the Applied Statistics Center at Columbia University, delivers a University Lecture on the statistical crisis in science and how to move forward. Using examples ranging from elections to birthdays to policy analysis, Professor Gelman discusses ways in which statistical methods have failed, leading to a replication crisis in much of science, as well as directions for improvements through statistical methods that make use of more information.
Inaugurated in 1971 and sponsored by the Offices of the President and Provost, the University Lecture is a semiannual address given by an outstanding member of the Columbia University faculty, celebrating his or her work and academic achievements. The Lecture provides a forum for in-depth exploration on a topic of the speaker’s choice.

[@rangjungyeshe]

Love AG's definition of a statistician at 6:57: "As a statistician, I'm not an expert on X, for any X that I happen to study".

[@SrikantGadicherla]

Lecture starts @ 5:35

[@lexparsimoniae2107]

What a brilliant mind!

[@naftalibendavid]

Rationality. We need more of it.

[@dino_rider7758]

Wonderful talk

[@rangjungyeshe]

The Statistical Crisis in Science bit starts at 24:34

[@doug_sponsler]

“The most important aspect of a statistical analysis is not what it does with the data but what data it uses. The important part of a big model is that it's big enough to allow you to put the data in.” 42:18

[@uwiringiyumukizajean6844]

this is best

[@lt4376]

24:34 problem with statistics in fields ending in ‘ology’

[@balqeessahar2947]

❤️🥹

[@CupOfSweetTea]

The problem: we are doing science, not stats. They are the exact opposite of each other.

[@willboudreau1187]

I'm sorry, I tried, but it's WAY TOO DISTRACTING to watch him go through his physical T.ourettes stuff

[@ancientapparition1638]

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