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  2. Superforecaster - Wikipedia

    en.wikipedia.org/wiki/Superforecaster

    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 ...

  3. Superforecasting: The Art and Science of Prediction - Wikipedia

    en.wikipedia.org/wiki/Superforecasting:_The_Art...

    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]

  4. The Good Judgment Project - Wikipedia

    en.wikipedia.org/wiki/The_Good_Judgment_Project

    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.

  5. When Might AI Outsmart Us? It Depends Who You Ask - AOL

    www.aol.com/might-ai-outsmart-us-depends...

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  6. Philip E. Tetlock - Wikipedia

    en.wikipedia.org/wiki/Philip_E._Tetlock

    Overall, their superforecasters gave a median estimate of 9.05 percent for a catastrophe from whatever source by 2100 while the median according to the experts was 20 percent, with 95 percent confidence intervals of [6.13, 10.25] and [15.44, 27.60] percent for superforecasters and experts, respectively.

  7. Brier score - Wikipedia

    en.wikipedia.org/wiki/Brier_score

    Although the above formulation is the most widely used, the original definition by Brier [1] is applicable to multi-category forecasts as well as it remains a proper scoring rule, while the binary form (as used in the examples above) is only proper for binary events. For binary forecasts, the original formulation of Brier's "probability score ...

  8. What makes the Santa Ana winds so destructive? - AOL

    www.aol.com/makes-santa-ana-winds-destructive...

    The Santa Ana winds form in a western area of the country known as the Great Basin, which includes Nevada and part of Utah. The basin sits at a higher elevation than Southern California.

  9. Futures techniques - Wikipedia

    en.wikipedia.org/wiki/Futures_techniques

    This form of simple trend extrapolation helps to direct attention towards the forces, which can change the projected pattern. A more elaborated curve that uses times series analysis can often reveal surprising historical and current data patterns. The qualitative trend analysis is one of the most demanding and creative methods in Futures Studies.