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Suppes's Criticism of the Propensity Interpretation of Probability and Quantum Mechanics

In P. A. Schlipp (ed.), The Philosophy of Karl Popper (Book Ii). Open Court. pp. 1125-1139 (1974)

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  1. Physical probabilities.Peter Milne - 1987 - Synthese 73 (2):329 - 359.
    A conception of probability as an irreducible feature of the physical world is outlined. Propensity analyses of probability are examined and rejected as both formally and conceptually inadequate. It is argued that probability is a non-dispositional property of trial-types; probabilities are attributed to outcomes as event-types. Brier's Rule in an objectivist guise is used to forge a connection between physical and subjective probabilities. In the light of this connection there are grounds for supposing physical probability to obey some standard set (...)
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  • Should Popper’s View of Rationality Be Used for Promoting Teacher Knowledge?Stephanie Chitpin - 2013 - Educational Philosophy and Theory 45 (8):833-844.
    Popper’s theory of learning is sometimes met with incredulity because Popper claims that there is no transference of knowledge or knowledge elements from outside the individual, neither from the physical environment nor from others. Instead, he claims that we can improve our present theories by discovering their inadequacies.The intent of this article is not to persuade educators to adopt Popper’s approach uncritically to build their professional knowledge. Rather, it presents a discussion on the need for teachers to adopt a critical (...)
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  • The Tendency Theory of Causation.Daniel von Wachter - manuscript
    A theory of causation with ‘tendencies’ as causal con- nections is proposed. Not, however, as ‘necessary connec- tions’: causes are not sufficient, they do not necessitate their effects. The theory is not an analysis of the concept of causation, but a description of what is the case in typical cases of causation. Therefore it does not strictly contradict any analysis of the concept of causation, not even reduct- ive ones. It would even be supported by a counterfactual or a probabilistic (...)
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