## Dictionary of Arguments | |||

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Conditional probability: probability of an event if another event is given. _____________ Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||

Author | Item | Summary | Meta data |
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I 33 Conditional Probability/Cartwright: is the measure of efficiency. I 34 Conditional Probability/Harper/Gibbard/Cartwright: can be deceiving. - E.g. it is indeed the case that the owners of the insurance policy live longer, but it would be a poor strategy, to buy one in order to get a longer life. Solution/Cartwright: counterfactual conditionals - It's not about how many live longer, but the probability that a person lives longer if they buy one. - Problem: testing probability for counterfactual conditionals -> Kripke/((s) because we invent the possible worlds) - apparent conditional probability: is not a measure with linked causes. I 36 Conditional probability: elimination of causal laws. - Instead: association, common occurrence. I 42 Partial Conditional Probability/Cartwright: Important argument: it holds all and only the causal factors fixed. _____________ Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. The note [Author1]Vs[Author2] or [Author]Vs[term] is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Car I N. Cartwright How the laws of physics lie Oxford New York 1983 CartwrightR I R. Cartwright A Neglected Theory of Truth. Philosophical Essays, Cambridge/MA pp. 71-93 InTheories of Truth, Paul Horwich, Aldershot 1994 CartwrightR II R. Cartwright Ontology and the theory of meaning Chicago 1954 |

> Counter arguments against **Cartwright**

> Counter arguments in relation to **Conditional Probability**

Ed. Martin Schulz, access date 2019-05-22