The chapter explores methods for identifying skilled forecasters in crowd prediction, classifying skill correlates, and analyzing their effectiveness in improving aggregate forecasting accuracy.
adly, Manifold does not produce particularly good predictions. In last year’s ACX contest, it performed worse than simply averaging predictions from the same number of people who took part in each market. Their calibration, while good by human standards, has a clear systematic bias towards predicting things will happen when they don’t (Yes bias).... See more