Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-23T22:38:37.595Z Has data issue: false hasContentIssue false

Epistemic Values and the Argument from Inductive Risk

Published online by Cambridge University Press:  01 January 2022

Abstract

Critics of the ideal of value-free science often assume that they must reject the distinction between epistemic and nonepistemic values. I argue that this assumption is mistaken and that the distinction can be used to clarify and defend the argument from inductive risk, which challenges the value-free ideal. I develop the idea that the characteristic feature of epistemic values is that they promote, either intrinsically or extrinsically, the attainment of truths. This proposal is shown to answer common objections to the distinction and provide a principled basis for separating legitimate from illegitimate influences of nonepistemic values in scientific inference.

Type
Research Article
Copyright
Copyright © The Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

I would like to thank Kyle Whyte and three anonymous referees for helpful comments on earlier drafts of this paper.

References

Anderson, Elizabeth (1993), Value in Ethics and Economics. Cambridge, MA: Harvard University Press.Google Scholar
Blackburn, Simon, and Simmons, Keith, eds. (1999), Truth. Oxford: Oxford University Press.Google Scholar
Braithwaite, R. B. (1953), Scientific Explanation. New York: Harper & Row.Google Scholar
Churchman, C. West (1956), “Statistics, Pragmatics, Induction”, Statistics, Pragmatics, Induction 15:249268.Google Scholar
Cranor, Carl (1993), Regulating Toxic Substances. Oxford: Oxford University Press.CrossRefGoogle Scholar
Cranor, Carl (2006), Toxic Torts. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Dorne, J. L. C. M., and Renwick, A. G. (2005), “The Refinement of Uncertainty/Safety Factors in Risk Assessment by the Incorporation of Data on Toxicokinetic Variability in Humans”, The Refinement of Uncertainty/Safety Factors in Risk Assessment by the Incorporation of Data on Toxicokinetic Variability in Humans 86:2026.Google ScholarPubMed
Douglas, Heather (2000), “Risk and Values in Science”, Risk and Values in Science 67:559579.Google Scholar
Douglas, Heather (2007), “Rejecting the Ideal of Value-Free Science”, in Kincaid et al. 2007, 120139.Google Scholar
Douglas, Heather (2009), Science, Policy and the Value-Free Ideal. Pittsburgh: University of Pittsburgh Press.CrossRefGoogle Scholar
Dourson, Michael, and Stara, Jerry (1983), “Regulatory History and Experimental Support of Uncertainty (Safety) Factors”, Regulatory History and Experimental Support of Uncertainty (Safety) Factors 3:224238.Google ScholarPubMed
Forster, Malcolm, and Sober, Elliott (1994), “How to Tell When Simpler, More Unified, or Less Ad Hoc Theories Will Provide More Accurate Predictions”, How to Tell When Simpler, More Unified, or Less Ad Hoc Theories Will Provide More Accurate Predictions 45:135.Google Scholar
Goldman, Alvin (1999), Knowledge in a Social World. Oxford: Clarendon.CrossRefGoogle Scholar
Harsanyi, John (1985), “Acceptance of Empirical Statements: A Bayesian Theory without Cognitive Utilities”, Acceptance of Empirical Statements: A Bayesian Theory without Cognitive Utilities 18:130.Google Scholar
Hempel, Carl (1965), “Science and Human Values”, in Aspects of Scientific Explanation and Other Essays in the Philosophy of Science. New York: Free Press, 8196.Google Scholar
Jeffrey, Richard (1956), “Valuation and Acceptance of Scientific Hypotheses”, Valuation and Acceptance of Scientific Hypotheses 23:237246.Google Scholar
Kelly, Kevin (2007a), “A New Solution to the Puzzle of Simplicity”, A New Solution to the Puzzle of Simplicity 74:561573.Google Scholar
Kelly, Kevin (2007b), “Ockham's Razor, Empirical Complexity, and Truth Finding Efficiency”, Ockham's Razor, Empirical Complexity, and Truth Finding Efficiency 383:270289.Google Scholar
Kincaid, Harold, Dupré, John, and Wylie, Alison, eds. (2007), Value-Free Science? Oxford: Oxford University Press.CrossRefGoogle Scholar
Kuhn, Thomas (1977), “Objectivity, Value Judgment, and Theory Choice”, in The Essential Tension. Chicago: University of Chicago Press, 320339.CrossRefGoogle Scholar
Lacey, Hugh (1999), Is Science Value Free? London: Routledge.Google Scholar
Laudan, Larry (2004), “The Epistemic, the Cognitive, and the Social”, in Machamer and Wolters 2004, 1423.Google Scholar
Lehman, A. J., and Fitzhugh, O. G. (1953), “100-fold Margin of Safety”, 100-fold Margin of Safety 18 (1): 3335..Google Scholar
Lemons, John, Shrader-Frechette, Kristin, and Cranor, Carl (1997), “The Precautionary Principle: Scientific Uncertainty and Type I and Type II Errors”, The Precautionary Principle: Scientific Uncertainty and Type I and Type II Errors 2:207236.Google Scholar
Levi, Isaac (1960), “Must the Scientist Make Value Judgments?”, Must the Scientist Make Value Judgments? 57:345357.Google Scholar
Levi, Isaac (1962), “On the Seriousness of Mistakes”, On the Seriousness of Mistakes 29:4765.Google Scholar
Levi, Isaac (1967), Gambling with Truth. London: Routledge & Kegan Paul.Google Scholar
Longino, Helen (1990), Science as Social Knowledge. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Longino, Helen (1996), “Cognitive and Non-cognitive Values in Science: Rethinking the Dichotomy”, in Nelson, L. Hankinson and Nelson, J. (eds.), Feminism, Science, and the Philosophy of Science. Dordrecht: Kluwer, 3958.CrossRefGoogle Scholar
Longino, Helen (2002), The Fate of Knowledge. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Machamer, Peter, and Douglas, Heather (1999), “Cognitive and Social Values”, Cognitive and Social Values 8:4554.Google Scholar
Machamer, Peter, and Ozbeck, Lisa (2004), “The Social and the Epistemic”, in Machamer and Wolters 2004, 7889.Google Scholar
Machamer, Peter, and Wolters, Gereon, eds. (2004), Science, Values and Objectivity. Pittsburgh: University of Pittsburgh Press.CrossRefGoogle Scholar
Maher, Patrick (1993), Betting on Theories. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
McGarrity, Thomas, and Wagner, Wendy (2008), Bending Science: How Special Interests Corrupt Public Health Research. Cambridge, MA: Harvard University Press.Google Scholar
McMullin, Ernan (1982), “Values in Science”, in Asquith, Peter D. and Nickles, Thomas (eds.), PSA 1982: Proceedings of the 1982 Biennial Meeting of the Philosophy of Science Association, Vol. 1. East Lansing, MI: Philosophy of Science Association, 328.Google Scholar
Nielson, Gunnar, and Øvreb⊘, Steinar (2008), “Background, Approaches and Recent Trends for Setting Health-Based Occupation Exposure Limits: A Minireview”, Background, Approaches and Recent Trends for Setting Health-Based Occupation Exposure Limits: A Minireview 51:253269.Google Scholar
Peterson, Michael (2007), “Should the Precautionary Principle Guide Our Actions or Our Beliefs?”, Should the Precautionary Principle Guide Our Actions or Our Beliefs? 33:510.Google ScholarPubMed
Popper, Karl (1963), Conjectures and Refutations. New York: Routledge & Kegan Paul.Google Scholar
Popper, Karl (1966), The Open Society and Its Enemies. vol. 2. Princeton, NJ: Princeton University Press.Google Scholar
Rooney, Phyllis (1992), “On Values in Science: Is the Epistemic/Non-epistemic Distinction Useful”, in Hull, David, Forbes, Micky, and Okruhlik, Kathleen (eds.), PSA 1992: Proceedings of the 1992 Biennial Meeting of the Philosophy of Science Association, Vol. 2. East Lansing, MI: Philosophy of Science Association, 1322.Google Scholar
Rudner, Richard (1953), “The Scientist qua Scientist Makes Value Judgments”, The Scientist qua Scientist Makes Value Judgments 20:16.Google Scholar
Shrader-Frechette, Kristin (1991), Risk and Rationality. Berkeley: University of California Press.CrossRefGoogle Scholar
Solomon, Miriam (2001), Social Empiricism. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Walton, K., Dorne, J. L. C. M., and Renwick, A. G. (2004), “Species-Specific Uncertainty Factors for Compounds Eliminated Primarily through Renal Excretion in Humans”, Species-Specific Uncertainty Factors for Compounds Eliminated Primarily through Renal Excretion in Humans 42:261274.Google ScholarPubMed