The British Journal for the Philosophy of Science · 2000 · 99 citations · 15 references
Public HealthEconomicsCausal InferenceNature Of ScienceProbability TheoryCausal Effect EstimationPropensity ModelingCausal LawsPropensity InterpretationTheoretical Justification Of CausalityValidity Of Causal Claims
The propensity interpretation of probability was introduced by Popper ([1957]), but has subsequently been developed in different ways by quite a number of philosophers of science. This paper does not attempt a complete survey, but discusses a number of different versions of the theory, thereby giving some idea of the varieties of propensity. Propensity theories are classified into (i) long-run and (ii) single-case. The paper argues for a long-run version of the propensity theory, but this is contrasted with two single-case propensity theories, one due to Miller and the later Popper, and the other to Fetzer. The three approaches are compared by examining how they deal with a key problem for the propensity approach, namely the relationship between propensity and causality and Humphreys' paradox.
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Scientific reasoning: the Bayesian approach
Choice Reviews Online · 1990 · 1.3K citations
Probability, Statistics and Truth.
E. N., Richard von Mises · The Journal of Philosophy · 1939 · 642 citations