Predicting at Near-Certainty: Difference between revisions

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<!-- ====================================== Article Banners ====================================== -->Predictions of absolute certainty and near-certainty exhibit some noteworthy philosophical properties. However, in practice such predictions should rarely if ever result in outcomes worse than badly-injured brier scores for the predictor who makes them, should they be proven incorrect.
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<!-- ====================================== Article Banners ====================================== -->Predictions of absolute certainty and near-certainty exhibit some noteworthy philosophical properties. However, in practice such predictions should rarely if ever result in outcomes worse than badly-injured brier scores for the predictor who makes them, should they be proven incorrect.
 
== Absolute Predictions in Absolute Reality ==
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== Absolute Predictions in Forecasting Tournaments ==
 
Practical Forecasting can afford to be a little more forgiving. All forecasts are stored imprecisely in one way or another. If a forecasting platform providesrestricts you to whole number inputs between 0% and 100% inclusive (as, validfor inputsexample, [[Good Judgement Open]] does), it's probably best to think of them as rounding your probability to the nearest whole percentage. In other words, you aren't claiming that there's no evidence that would convince you otherwise (contra above), but that your confidence is within half a percent of absolute. It isn't hard to envision forecasts for which this should be true (e.g. will the sun rise tomorrow?).
 
== References ==