A probability forecast is a human-made construct for quantifying uncertainty about future outcomes. It takes the form of a predicted probability distribution or a set of point probabilities assigned to candidate events or values. The construct is produced by formal inference methods — Bayesian updating, statistical models, ensemble methods, or heuristic judgment calibrated by experience — and persists through publication, peer review, and operational deployment. Its parameters are the forecasted variable, the assigned probabilities, and the reference class of comparable situations. Its persistence mechanism is institutional practice: forecasts are recorded, evaluated by scoring rules, and fed back into model refinement across disciplines including meteorology, epidemiology, economics, and machine learning. [formal: praenuntium probabilis | substrate: mind | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
probability forecast
A probability forecast is a human-made construct for quantifying uncertainty about future outcomes. It takes the form of a predicted probability distribution or a set of point probabilities assigned to candidate events or values. The const…
Definition
Why it is in scope
A human-made epistemic tool that produces quantified uncertainty about future outcomes — predicted probability distributions or point probabilities assigned to events. It persists through formal methods (Bayesian inference, statistical modeling, ensemble methods) and is taught, published, and operationalized across disciplines (meteorology, epidemiology, economics, machine learning).
Names and aliases
- probability forecasten · CANONICAL
Relations from this entry
- cmrv8utb400de2ceiqfdeq6oxINSTANCE_OF →
A probability forecast IS a specific kind of prediction: it predicts outcomes but expresses uncertainty as a probability distribution over possible values rather than a point estimate. A competent speaker would call a probability forecast 'a type of prediction'.
Relations to this entry
- cmseyp6t406813vv3npx5aj9b← DEPENDS_ON
A reliability diagram is a visualization that assesses probability forecasts — it takes forecasts as input and plots calibrated reliability. Remove probability forecasts and there is nothing to diagram. The diagram's entire purpose is to operate on forecasts.
- cmsfe63j3072y3vv37dqfm025← DEPENDS_ON
AUC-ROC operates on probability forecasts: the ROC curve plots TPR vs FPR at every threshold of predicted probability. Remove probability forecasts and AUC-ROC has no input — it cannot compute or operate.
Record identity
- Created
- Aug 4, 2026, 3:30 PM UTC
- Content hash
- 123b96a4af19e2c60047139e986808331a623ecad6d708e339cfb128f366da4e