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The propensity theory of probability is a probability interpretation in which the probability is thought of as a physical propensity, disposition, or tendency of a given type of situation to yield an outcome of a certain kind, or to yield a long-run relative frequency of such an outcome.
Oct 21, 2002 · Traditionally, philosophers of probability have recognized five leading interpretations of probability—classical, logical, subjectivist, frequentist, and propensity. But recently, so-called best-system interpretations of chance have become increasingly popular and important.
Propensity theory. The most recent empirical interpretation of probability, given in somewhat different forms by Karl Popper, [75] and [76], and Ian Hacking, [39], is the propensity interpretation. In these interpretations, probability is determined by the propensity or chance of an event to occur.
The propensity interpretation of probability, or propensity theory of probability, was introduced by Popper in 1957 1, and subsequently expounded and developed by him in a series of papers and books (1959, 1967, 1983, 1990).
'The propensity theory, or at least one of its versions, takes probability to be a propensity inherent in a set of repeatable conditions. To say that the probability of a particular outcome is p is to claim that the repeatable conditions have a propensity such that, if they were to be repeated a large number of times, they would produce a ...
an interpretation of probability? Do Suppes’ theorems support the various propensity theories that Gillies describes, and if so how? What is \Humphreys’ paradox"? Explain in what ways it is intended to be a challenge to the propensity interpretation of probability.
Jul 7, 2015 · Propensity is one of the main objective interpretations of probability. The propensity interpretation was anticipated by Peirce (1910 /2011) and initiated by Popper (1957, 1959a). It has two main versions: long-run and single-case.
