Prediction versus Accommodation
Updated 2026-09-10
INTRODUCTION
English translation pending.
CORE DEFINITION
Predictivism holds that when evaluating scientific theories, predicted evidence confirms a theory more strongly than evidence accommodated after the fact. Early literature defines prediction as an empirical consequence of a theory that was unverified at the time of its construction, and accommodation as an empirical consequence already known when the theory was built. The debate concerns whether this temporal difference carries real epistemic weight.
SCAFFOLDING EFFECT
Reduce cognitive load
- Theory evaluation: prefer theories that predicted their evidence before it was verified, and stay alert to post hoc parameter tuning that merely accommodates the data. - Evidence grading: assign the same evidence different confirmatory weight depending on whether it was already known when the theory was proposed.
Anchor fast decisions
Accommodation allows researchers to adjust a theory to fit the data, so its success carries a whiff of fabrication and cannot show the theory is true; prediction removes this room for tuning. In a Bayesian framework the difference lies in likelihood: if the theory were false, its probability of hitting known data is far higher than its probability of hitting unknown data.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- plato.stanford.eduhttps://plato.stanford.edu/entries/prediction-accommodation/verified
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