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Philip Eyrikson Tetlock [3] (born March 2, 1954) is a Canadian-American political psychologist and writer, and is currently the Annenberg University Professor at the University of Pennsylvania, where he is cross-appointed at the Wharton School and the School of Arts and Sciences. He was elected a Member of the American Philosophical Society in ...
The Good Judgment Project (GJP) is an organization dedicated to "harnessing the wisdom of the crowd to forecast world events". It was co-created by Philip E. Tetlock (author of Superforecasting and Expert Political Judgment), decision scientist Barbara Mellers, and Don Moore, all professors at the University of Pennsylvania. [1] [2] [3]
The Economist reports that superforecasters are clever (with a good mental attitude), but not necessarily geniuses. It reports on the treasure trove of data coming from The Good Judgment Project, showing that accurately selected amateur forecasters (and the confidence they had in their forecasts) were often more accurately tuned than experts. [1]
A superforecaster is a person who makes forecasts that can be shown by statistical means to have been consistently more accurate than the general public or experts. . Superforecasters sometimes use modern analytical and statistical methodologies to augment estimates of base rates of events; research finds that such forecasters are typically more accurate than experts in the field who do not ...
In a non-statistical sense, the term "prediction" is often used to refer to an informed guess or opinion.. A prediction of this kind might be informed by a predicting person's abductive reasoning, inductive reasoning, deductive reasoning, and experience; and may be useful—if the predicting person is a knowledgeable person in the field.
First edition (publ. Princeton University Press) Expert Political Judgment: How Good Is It? How Can We Know? is a 2005 book by Philip E. Tetlock.The book mentions how experts are often no better at making predictions than most other people, and how when they are wrong, they are rarely held accountable.
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