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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 ...
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]
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.
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.
Houses turned into 'highly toxic debris' Wildfire evacuees returning to their homes in increasing numbers around Los Angeles are being warned to take special care in cleaning up toxic ash and debris.
Failure mode and effects analysis (FMEA) is a safety analysis method first developed for systems engineering which examines potential failures in products or processes. It may be used to evaluate risk management priorities for mitigating known threat-vulnerabilities.
Danish officials are reportedly open to the idea of meeting with U.S. President-elect Donald Trump to discuss the future of Greenland.
Causal layered analysis (CLA) is a theory and method that seeks to integrate empiricist, interpretive, critical, and action learning modes of research. In this method, forecasts, the meanings individuals give to these forecasts, the critical assumptions used, the narratives these are based on, and the actions and interventions that result are ...