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Superforecasters represented the cream of the crop of the Good Judgment Project forecasters. And they’ve proven themselves time and time again since turning professional in 2015. Below, we present data about their track record in both absolute and relative terms.
“Team Good Judgment, led by Philip Tetlock and Barbara Mellers of the University of Pennsylvania, beat the control group by more than 50%. This is the largest improvement in judgmental forecasting accuracy observed in the literature.”Steven Rieber, Program Manager, IARPA
An analysis of Good Judgment Project forecasts by UC-Irvine decision scientist Mark Steyvers found that Superforecasters anticipated events 400 days in advance as accurately as regular forecasters could see those events 150 days ahead.
Forecasting questions posed to the Superforecasters that have "resolved"
Average percentage of days on which our forecasts placed the highest probability on the "correct" outcome
Percent of forecasts on which Superforecasters beat hybrid human + machine teams
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