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aggregating the judgments of an equal number of people who know lots about lots of different things is most effective because the collective pool of information becomes much bigger.
Philip E. Tetlock, Dan Gardner • Superforecasting: The Art and Science of Prediction
Foxes beat hedgehogs on both calibration and resolution.
Philip E. Tetlock, Dan Gardner • Superforecasting: The Art and Science of Prediction
David Brooks • How the Ivy League Broke America
the more famous an expert was, the less accurate he was.
Philip E. Tetlock, Dan Gardner • Superforecasting: The Art and Science of Prediction
In Tetlock’s analysis, the foxes—attuned to a wide range of potential sources, willing to admit uncertainty, not devoted to an overarching theory—turned out to be significantly better at predicting future events than the more single-minded experts. The foxes were full spectrum; the hedgehogs were narrowband.
Steven Johnson • Farsighted: How We Make the Decisions That Matter the Most
“Where wisdom once was, quantification will now be.
Philip E. Tetlock, Dan Gardner • Superforecasting: The Art and Science of Prediction
For superforecasters, beliefs are hypotheses to be tested, not treasures to be guarded. It
Philip E. Tetlock, Dan Gardner • Superforecasting: The Art and Science of Prediction
Foxes, Tetlock found, are considerably better at forecasting than hedgehogs.
Nate Silver • The Signal and the Noise: Why So Many Predictions Fail-but Some Don't
“Who experts were—professional background, status, and so on—made scarcely an iota of difference,” Tetlock concludes. “Nor did what experts thought—whether they were liberals or conservatives, realists or institutionalists, optimists or pessimists.” But “[h]ow experts thought—their style of reasoning—did matter.” The critical variable turned out to
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