Abstract
The Problem of Old Evidence (POE) states that Bayesian confirmation theory cannot explain why a theory H can be confirmed by a piece of evidence E already known. Different dimensions of POE have been highlighted. Here, I consider the dynamic and static dimension. In the former, we want to explain how the discovery that H accounts for E confirms H. In the latter, we want to understand why E is and will be a reason to prefer H over its competitors. The aim of the paper is twofold. Firstly, I stress that two recent solutions to the dynamic dimension, recently proposed by Eva and Hartmann, can be read in terms of Inference to the Best Explanation (IBE). On this base, I gauge the weaknesses and strengths of the two models. Namely, I show that the two authors endorse a particular IBE’s formulation, and that it is still unsure if it is the one descriptively used. Moreover, I contend that, while one condition of their first model is not expression of this formulation, the only condition of their second model is. Secondly, I focus on the static dimension of POE which, now, has to be expressed in IBE terms. To solve it, I rely on the counterfactual approach, and on a version of IBE in which explanatory considerations help to evaluate the terms in Bayes’ theorem. However, it turns out that the problems of the counterfactual approach recur even when it is used to solve the static POE in IBE terms.
Similar content being viewed by others
Notes
Eells refers to hypotheses or, equivalently, theories, by using the capital letter T and not H. However, for consistency, I replaced T with H.
The first problematic case is also considered by Glymour (1980, p. 89), who, however, does not provide any example. Moreover, Glymour (1980, pp. 87–91) makes other arguments in favour of the claim that it is problematic to have particular degrees of belief in E, or in H given E, had our degrees of belief in E been less than 1.
For the proof, see Eva and Hartmann (2020), footnote n. 4, p. 491.
To expand on the distinction between these two senses of confirmation, see Hartmann and Sprenger 2019, variation 1.
I say that t is a high value because in E&H Idea, it is said that H receives strong confirmation.
Lipton (2001, p. 106) explains why each of these virtues is an explanatory virtue by saying, respectively: “better explanations explain more types of phenomena, explain them with greater precision, provide more information about underlying mechanisms, unify apparently disparate phenomena, or simplify our overall picture of the world”.
References
Brush, S. G. (1989). Prediction and theory evaluation: The case of light bending. Science, 246(4934), 1124–1129. https://doi.org/10.1126/science.246.4934.1124
Crelinsten, J. (2006). Einstein’s jury: The race to test relativity. Princeton University Press.
Douven, I. (2017). Abduction. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy (2017th ed.). Stanford University. https://plato.stanford.edu/archives/sum2017/entries/abduction/
Earman, J. (1992). Bayes or bust? A critical examination of Bayesian confirmation theory. MIT Press.
Eells, E. (1985). Problems of old evidence. Pacific Philosophical Quarterly, 66(3–4), 283–302. https://doi.org/10.1111/j.1468-0114.1985.tb00254.x
Eells, E. (1990). Bayesian problems of old evidence. In C. W. Savage (Ed.), Scientific Theories (pp. 205–223). University of Minnesota Press.
Eva, B., & Hartmann, S. (2020). On the origins of old evidence. Australasian Journal of Philosophy, 98(3), 481–494. https://doi.org/10.1080/00048402.2019.1658210
Garber, D. (1983). Old evidence and logical omniscience in Bayesian confirmation theory. In J. Earman (Ed.), Testing Scientific Theories (pp. 99–132). University of Minnesota Press.
Glymour, C. N. (1980). Theory and evidence. Princeton University Press.
Hartmann, S., & Fitelson, B. (2015). A new Garber-style solution to the problem of old evidence. Philosophy of Science, 82(4), 712–717. https://doi.org/10.1086/682916
Hartmann, S., & Sprenger, J. (2019). Bayesian philosophy of science: Variations on a theme by the Reverend Thomas Bayes. Oxford University Press.
Howson, C. (1984). Bayesianism and support by novel facts. The British Journal for the Philosophy of Science, 35(3), 245–251. https://doi.org/10.1093/bjps/35.3.245
Howson, C. (1985). Some recent objections to the Bayesian theory of support. The British Journal for the Philosophy of Science, 36(3), 305–309. https://doi.org/10.1093/bjps/36.3.305
Howson, C. (1991). The ‘old evidence’ problem. The British Journal for the Philosophy of Science, 42(4), 547–555. https://doi.org/10.1093/bjps/42.4.547
Jeffrey, R. C. (1983). Bayesianism with a human face. In J. Earman (Ed.), Testing Scientific Theories (pp. 133–156). University of Minnesota Press.
Kuipers, T. A. F. (2000). From Instrumentalism to Constructive Realism (p. 2000). Kluwer.
Lipton, P. (1993). VI* - Is the best good enough? Proceedings of the Aristotelian Society, 93(1), 89–104. https://doi.org/10.1093/aristotelian/93.1.89
Lipton, P. (2001). Is explanation a guide to inference? A reply to Wesley C. Salmon. In G. Hon & S. S. Rakover (Eds.), explanation (pp. 93–120). USA: Kluwer Academic.
Lipton, P. (2004). Inference to the best explanation (2nd ed.). Routledge.
McMullin, E. (1996). Epistemic virtue and theory appraisal. In I. Douven & L. Horsten (Eds.), Realism in the sciences (pp. 13–34). Leuven University Press.
Musgrave, A. (1988). The ultimate argument for scientific realism. In R. Nola (Ed.), Relativism and realism in science (pp. 229–252). Kluwer.
Niiniluoto, I. (1983). Novel facts and Bayesianism. The British Journal for the Philosophy of Science, 34(4), 375–379. https://doi.org/10.1093/bjps/34.4.375
Niiniluoto, I. (1998). Verisimilitude: The third period. The British Journal for the Philosophy of Science, 49(1), 1–29. https://doi.org/10.1093/bjps/49.1.1
Okasha, S. (2000). Van Fraassen’s critique of inference to the best explanation. Studies in History and Philosophy of Science, 31(4), 691–710. https://doi.org/10.1016/S0039-3681(00)00016-9
Salmon, W. C. (2001). Explanation and confirmation: A Bayesian critique of inference to the best explanation. In G. Hon & S. S. Rakover (Eds.), Explanation (pp. 61–91). Kluwer Academic.
Schurz, G. (2008). Patterns of abduction. Synthese, 164(2), 201–234. https://doi.org/10.1007/s11229-007-9223-4
Teller, P. (1973). Conditionalization and observation. Synthese, 26(2), 218–258. https://doi.org/10.1007/BF00873264
Thagard, P. (1978). The Best Explanation: Criteria for Theory Choice. Journal of Philosophy., 75, 76–92. https://doi.org/10.2307/2025686
van Fraassen, B. C. (1989). Laws and symmetry. Oxford University Press.
Acknowledgements
I would like to thank my Ph.D supervisor, Jan Sprenger, and my supervisor during the period abroad, Stephan Hartmann, for the numerous, helpful, and insightful discussions about the subject of this paper.
Funding
This work was carried out during the author’s Ph.D program. However, the paper was first submitted to the journal while the author was receiving the scholarship funded by Compagnia di San Paolo, whereas the revisions of the paper were made after the scholarship ended.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author has no financial or non-financial interests to disclose.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article belongs to the Topical Collection: Selected papers from the biennial conference in Turin
Guest Editors: A.C. Love, C. Marchionni, M. Redei, J. Williamson
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Sagrafena, C. The old evidence problem and the inference to the best explanation. Euro Jnl Phil Sci 13, 2 (2023). https://doi.org/10.1007/s13194-022-00507-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s13194-022-00507-4