Testing Probabilistic Causality
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Probabilistic causality is related to the value of λ, the parameter of the predictive probability function elaborated by Gini, Johnson, and Carnap. Thus it is impossible to make estimates within Suppes’s theory of probabilistic causality. This causality can only be checked using tests of significance. Two examples of this are given. Some considerations about the corroboration of a probability law conclude the paper.
KeywordsMonozygotic Twin Prima Facie Probabilistic Causality Twin Brother Maximum Entropy Distribution
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