Abstract
In this chapter, I consider three theories of evidence, namely, hypothetico-deductivism, Carl Hempel’s “satisfaction” theory, and Deborah Mayo’s “error-statistical” theory. These theories are considered together because they share the characteristic that hypotheses themselves do not have probabilities (in contrast to those that do, i.e., p(h) = r; 0 ≤ r ≤ 1, which are considered in Chap. 3). I discuss hypothetico-deductivism mainly using Karl Popper’s approach to this theory. I attempt to explicate these theories in sufficient detail so that in later chapters I will be able to argue that they do not satisfactorily explain confirmation in clinical medical science, and that the “weight of evidence” account does this more satisfactorily. I also include some objections to these theories that have been offered by others.
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Notes
- 1.
This book originally appeared in German in 1934. The first English translation was in 1959 with the title The Logic of Scientific Discovery (London: Hutchinson, 1959).
- 2.
In a note, Popper cites several sources for this quotation, which I do not repeat here.
- 3.
For the conclusion form “almost certainly, or probably, a is not G,” see Toulmin (1958, 139).
- 4.
Hempel (1960, 441) notes that he has slightly modified the phrasing of Cooley’s example to more closely fit the pattern of the other examples.
- 5.
Hempel cites several references from Rudolf Carnap for this quotation, which I do not repeat here.
- 6.
- 7.
The tea tasting example is usually attributed to R.A. Fisher (1947). As Mayo notes, she has slightly modified Fisher’s presentation.
References
Achinstein, Peter. 2005. Four mistaken theses about evidence, and how to correct them. In Scientific evidence. Philosophical theories and applications, ed. Peter Achinstein, 35–50. Baltimore: Johns Hopkins University Press.
Butts, Robert E. 1995. Hypothetico-deductive method. In The Cambridge dictionary of philosophy, ed. Robert Audi, 352–353. Cambridge: Cambridge University Press.
Christensen, David. 1983. Glymour on evidential relevance. Philosophy of Science 50: 471–481.
———. 1990. The irrelevance of bootstrapping. Philosophy of Science 57: 644–662.
Cooley, J.C. 1959. On Mr. Toulmin’s revolution in logic. The Journal of Philosophy 56: 297–319.
Earman, John. 1992. Bayes or bust? A critical examination of Bayesian confirmation theory. Cambridge: MIT Press.
Feynman, Richard. 1967. The character of physical law. Cambridge: MIT Press.
Fisher, Ronald A. 1947. The design of experiments. 4th ed. Edinburgh: Oliver and Boyd.
Fuertes-de la Haba, Abelardo, José O. Curet, Ivan Pelegrina, and Ishver Bangdiwala. 1971. Thrombophlebitis among oral and nonoral contraceptive users. Obstetrics and Gynecology 38: 259–263.
Glymour, Clark. 1980. Theory and evidence. Princeton: Princeton University Press.
Goodman, Nelson. 1983. Fact, fiction, and forecast. 4th ed. Cambridge: Harvard University Press.
Hempel, Carl G. 1945a. Studies in the logic of confirmation (I). Mind 54: 1–26. Reprinted, with some changes, in Hempel 1965, 3–51.
———. 1945b. Studies in the logic of confirmation (II). Mind 54: 97–121. Reprinted, with some changes, in Hempel 1965, 3–51.
———. 1960. Inductive inconsistencies. Synthese 12: 439–469. Reprinted, with some changes, in Hempel 1965, 53–79.
———. 1965. Aspects of scientific explanation and other essays in the philosophy of science. New York: The Free Press.
Hon, Giora. 2003. The idols of experiment: Transcending the “etc. list”. In The philosophy of scientific experimentation, ed. Hans Radder, 174–197. Pittsburgh: University of Pittsburgh Press.
Howson, Colin, and Peter Urbach. 2006. Scientific reasoning. The Bayesian approach. 3rd ed. Chicago: Open Court.
Mayo, Deborah G. 1996. Error and the growth of experimental knowledge. Chicago: University of Chicago Press.
Popper, Karl. 1992. The logic of scientific discovery. New York: Routledge.
Toulmin, Stephen E. 1958. The uses of argument. Cambridge: Cambridge University Press.
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Pinkston, J.A. (2020). Theories of Confirmation in Which Hypotheses Do Not Have Probabilities. In: Evidence and Hypothesis in Clinical Medical Science. Synthese Library, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-030-44270-5_2
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