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Defending Scientific Realism Without Relying on Inference to the Best Explanation

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Abstract

Explanationist strategies for defending epistemological scientific realism (ESR) make heavy use of a particular version of inference to the best explanation known as the no-miracle argument. I consider ESR to be a genuinely philosophical—non-naturalistic—thesis which contends that there are strong arguments to believe in some non-observational claims made by scientific theories that are partially observationally correct. In this paper, I examine the grounds of the strength of these arguments from what I call a contemplative perspective which focuses on the end products, i.e. theories, of the scientific activity as opposed to the pragmatist view which considers science to be primarily an activity. I briefly rehearse the main difficulties of the no-miracle argument and of inference to the best explanation in general. I argue that a convincing defence of ESR should be based on the empirically ascertained reality of causal connections between theoretical entities which possess properties that are in principle observable (OP properties) and the results of measurements or observations. The knowledge of those causal connections may well deliver an—even the best—explanation of the appearances. But belief in the existence of some unobservable entities is mainly justified by their empirically attested causal role, not on their possible explanatory function.

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Notes

  1. See also Ghins (2002).

  2. Following van Fraassen, I distinguish appearances, measurements and data from phenomena. The latter are directly observable, whereas appearances are what phenomena “look like in given measurement or observation set-ups” (van Fraassen 2008, p. 284).

  3. “(…) the theory is empirically adequate if it has some model such that all appearances are isomorphic to empirical substructures of that model” (van Fraassen 1980, p. 64). In the model-theoretic approach, a theory is empirically adequate if all appearances fit in some submodel of the theory or, in syntactic language, if all its predictive statements about measurement results are true. For van Fraassen, theories are in the first place classes of models (which occupy “centre stage”). But they also contain statements. In this paper, theories will be mainly viewed as sets of statements. Such point of view will not impair the examination of the arguments in favour of scientific realism.

  4. It is useful to distinguish between theories that have been partially falsified, such as classical mechanics and optics (which are still taught, and rightly so) and theories that have been discarded such as Ptolemaic astronomy and Pristley’s chemical theory.

  5. “Θεωρια” in ancient Greek means “vision” or “contemplation”.

  6. Fields are entities, but not objects in the usual sense.

  7. Some naturalistic evolutionary theories of knowledge attempt to argue in favour of such harmony, but they remain highly controversial.

  8. Satisfactory explanations might be true or false. My notion of satisfaction differs from Liptons’s loveliness. For him, the loveliest explanation would be the one that provides the most understanding, if true (Lipton 2004, p. 59). I wish to sharply separate satisfaction from truth. A false explanation could remain the most satisfactory and provide the most understanding even if proven false.

  9. For a detailed discussion of Putnam’s argument, see Ghins (2002). For a rejoinder, see Alai (2012).

  10. For a discussion of various versions of the NMA see Ghins (2002).

  11. See van Fraassen (1980, pp. 19–20). I revisited this example in Ghins (2017, p. 126).

  12. I assume throughout this paper that real properties are instantiated by real entities.

  13. Ghins (1992).

  14. Newton’s second law is causal since it contains a time derivative, which refers to effect, while the forces refer to causes (Blondeau and Ghins 2012).

  15. Ghins (2017, p. 123).

  16. More on this in Ghins (2017).

  17. van Fraassen (2008, p. 100ff).

  18. See Ghins (2017) and Psillos (2011, 2014).

  19. Again, it could be objected that electromagnetic fields etc. are not directly observable. This is true, but the presence of such fields can be detected by means of everyday experiences with, for example, magnets. For detailed discussion of Thomson’s experiments, see Nola (2008).

  20. Ghins (2018).

  21. Significantly Lipton concedes that the NMA isn’t a cogent application of IBE, even though he maintains that IBE “can be used to provide some arguments for adopting a realist (…) stance toward scientific theories” (Lipton 2004, p. 209).

References

  • Alai M (2012) Levin and Ghins on the no-miracle argument and naturalism. Eur J Philos Sci 2:85–110

    Article  Google Scholar 

  • Blondeau J, Ghins M (2012) Is there an intrinsic criterion for causal lawlike statements? Int Stud Philos Sci 26:381–401

    Article  Google Scholar 

  • Boyd R (1981) Scientific realism and naturalistic epistemology. In: Asquith PD, Nickles T (eds) PSA 1980, vol 2. Philosophy of Science Association, East Lansing, pp 613–662

  • Braithwaite RB (1953) Scientific explanation. Cambridge University Press, Cambridge

    Google Scholar 

  • Douven I (2017) Abduction. In: Zalta E (ed) The stanford encyclopedia of philosophy. https://plato.stanford.edu/archives/sum2017/entries/abduction/

  • Ghins M (1992) Scientific realism and invariance. In: Proceedings of the third SOFIA conference on epistemology, Campinas, July 1990. Philosophical issues, vol 2, rationality in epistemology. Ridgeview, California, pp 249–262

  • Ghins M (2002) Putnam’s no-miracle argument: a critique. In: Clarke S, Lyons T (eds) Recent themes in the philosophy of science: scientific realism and commonsense, Australasian studies in history and philosophy of science, vol 17. Kluwer, Dordrecht, pp 121–138

    Chapter  Google Scholar 

  • Ghins M (2017) Selective scientific realism: representation, objectivity and truth. In: Agazzi E (ed) Varieties of scientific realism: objectivity and truth in science. Springer, Berlin, pp 109–131

    Chapter  Google Scholar 

  • Ghins M (2018) Mechanistic explanation: an extension and a defence. In: Falkenburg B, Schiemann G (eds) Mechanistic explanations, computability and complex systems. Proceedings of the international academy of science conference. Dortmund, Oct 2016. Springer, Berlin (in press)

  • Levin M (1984) What kind of explanation is truth? In: Leplin J (ed) Scientific realism. University of California Press, Berkeley, pp 124–139

    Google Scholar 

  • Lipton P (2004) Inference to the best explanation, 2nd edn. 1st edition 1991. Routledge, London

  • Mill JS (1911) A system of logic: raciocinative and inductive. Longmans, Green and Co., London

    Google Scholar 

  • Musgrave A (2017) Strict empiricism versus explanation in science. In: Agazzi E (ed) Varieties of scientific sealism: objectivity and truth in science. Springer, Berlin, pp 71–93

  • Nola R (2008) The optimistic meta-induction and ontological continuity: the case of the electron. In: Soler L, Sankey H, Hoyningen-Huene P (eds) Rethinking scientific change and theory comparison: stabilities, ruptures, incommensurabilities. Springer, Berlin, pp 159–202

    Chapter  Google Scholar 

  • Psillos S (1999) Scientific realism. How science tracks truth. Routledge, London

    Google Scholar 

  • Psillos S (2011) Moving molecules above the scientific horizon: on Perrin’s case for realism. J Gen Philos Sci 42:339–363

    Article  Google Scholar 

  • Psillos S (2014) The view from within and the view from above: looking at van Fraassen’s Perrin. In: Gonzalez W (ed) Bas van Fraassen’s approach to representation and models in science. Synthese Library, Springer, Berlin, pp 143–166

    Chapter  Google Scholar 

  • Putnam H (1978) Meaning and the moral sciences. Routledge, London

    Google Scholar 

  • Sankey H (2008) Scientific realism and the rationality of science. Ashgate, Aldershot

    Google Scholar 

  • van Fraassen B (1980) The scientific image. Clarendon Press, Oxford

    Book  Google Scholar 

  • van Fraassen B (1989) Laws and symmetry. Clarendon Press, Oxford

    Book  Google Scholar 

  • van Fraassen B (2002) The empirical stance. Yale University Press, New Haven

    Google Scholar 

  • van Fraassen B (2005) Wouldn’t it be lovely? Explanation and scientific realism. In: Review symposium for Lipton, inference to the best explanation, 2nd edn. Metascience 14: 344–352

  • van Fraassen B (2008) Scientific representation. Paradoxes of perspective. Clarendon Press, Oxford

    Book  Google Scholar 

  • van Fraassen B (2017) Misdirection and misconception in the scientific realism debates. In: Agazzi E (ed) Varieties of scientific realism: objectivity and truth in science. Springer, Berlin, pp 95–108

    Chapter  Google Scholar 

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Ghins, M. Defending Scientific Realism Without Relying on Inference to the Best Explanation. Axiomathes 27, 635–651 (2017). https://doi.org/10.1007/s10516-017-9356-0

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