The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Causal Laws and Effective Strategies
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There are at least two kinds of laws of nature: laws of association and causal laws.1 Laws of association are the faimilar laws with which philosophers usually deal. These laws tell how often two qualities or quantities are co-associated. They may be either deterministic-the association is universal-or probabilistic. equations of physics are a good example: whenever the force on a classical particle of mass m is f the acceleration isf/m. Laws of association may be time indexed, as in the probabilistic laws of Mendelian genetics, but apart from the asymmetries imposed by time indexing, these laws are causally neutral. They tell how often two qualities co-occur; but they provide no account of what makes things happen. Causal laws, by contrast, have the word cause-or some causal surrogate, right in them. Smoking causes lung cancer; perspiration attracts wood ticks; or,-for an example from physics, force causes change in motion: to quote Einstein and Infeld ([5]: 9), The action of an external force changes the velocity... such a force either increases or decreases the velocity according to whether it acts in the direction of motion or in the opposite direction. Bertrand Russell [9] argued that laws of association are all the laws there are, and that causal principles cannot be derived from the causally symmetric laws of association. I shall here argue in support of Russell's second claim, but against the first. Causal principles cannot be reduced to laws of association; but they cannot be done away with. argument in support of causal laws relies on some facts about strategies. They are illustrated in a letter which I recently received from TIAA-CREF, a company which provides insurance for college teachers. letter begins:
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Cites
Aspects of Scientific Explanation.
Resnik, M. D., & Hempel, C. G. (1966) · Philosophy and Phenomenological Research · doi:10.2307/2106169 · Cited by 3,319
The interpretation of interaction in contingency tables
Simpson, E. H. (1951) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1951.tb00088.x · Cited by 2,301 · cited 1×
“This example depends on a fact about probabilities known as Simpson's paradox (Simpson [11]), or sometimes as the Cohen-Nagel-Simpson paradox, for it is presented as an exercise in Morris Cohen's and Ernest Nagel's text, An Introduction to Logic and Scientific Method [4].”
MethodBickel, P. J., Hammel, E. A., & O'Connell, J. W. (1975) · Science · doi:10.1126/science.187.4175.398 · Cited by 659
The Continuum of Inductive Methods.
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Statistical Explanation vs. Statistical Inference
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Cited by
Making Things Happen: A Theory of Causal Explanation
Woodward, J. (2004) · doi:10.1093/0195155270.001.0001 · Cited by 1,302
Simpson's paradox in psychological science: a practical guide
Kievit, R. A., Frankenhuis, W. E., Waldorp, L. J., & Borsboom, D. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00513 · Cited by 542
Key Concepts in Model Selection: Performance and Generalizability
Forster, M. R. (2000) · Journal of Mathematical Psychology · doi:10.1006/jmps.1999.1284 · Cited by 384
Independence, Invariance and the Causal Markov Condition
Hausman, D. M., & Woodward, J. (1999) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/50.4.521 · Cited by 375
Wilson, A. (2018) · Noûs · doi:10.1111/nous.12190 · Cited by 267
Metadata
- Authors
- Cartwright, N.
- Venue
- Noûs
- Publisher
- JSTOR
- Published
- 1979-11
- Volume
- 13
- Issue
- 4
- Pages
- 419
- ISSN
- 0029-4624 (ISSN-L)
- OpenAlex
- W1963745475
- Cited by
- 531
- References
- 7
- FWCI
- 10.73
- Type
- journal article
- Language
- en
- Open access
- green
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