Ioan Muntean – Thinning the jungle of “unconceived alternatives.” Stanford’s antirealism meets expected unifications and avoidable inconsistencies

Thinning the jungle of “unconceived alternatives.” Stanford’s antirealism meets expected unifications and avoidable inconsistencies

Ioan Muntean

 

Romanian Journal of Analytic Philosophy, 2022, Vol XVI, Issue 2, pp. 83-118, DOI: https://doi.org/10.62229/rrfaxvi-2/5

Published: 6 June, 2025  Download Pdf

Cite as: Muntean, Ioan: Thinning the jungle of “unconceived alternatives.” Stanford’s antirealism meets expected unifications and avoidable inconsistencies. In: Romanian Journal of Analytic Philosophy, vol. 16, iss. 2, pp. 83-118 , 2025, ISSN: 1843-9969.

Abstract: K. Stanford (2006, 2009) has offered an antirealist argument (the “problem of unconceived alternatives”, PUA) based on the argument that scientists are not able to grasp alternatives to a current scientific theory T. According to PUA, the mere existence of some epistemically inaccessible alternatives (T’, T”, …) weakens our trust in T and shakes the foundations of mainstream scientific realism. The realist may entertain the inkling that inter-theoretical relations (both existing and expected or ‘hoped-for’) play a role in accepting or rejecting PUA. The most celebrated intertheoretical relations, such as consilience, reduction, realization, emergence, equivalence, or approximation—whether prospective, expected, or realized—bear relevance to the conceivability of their alternatives. This paper presents an ‘eliminative inference’ based on an ‘unification posit’ that weakens the PUA. We employ first a minimal model of inter-theoretical unification couched in terms of the ‘term identification’ of the theoretical terms of two initially different theories, T1 and T2. Then we rethink unification as an ‘ideological identification’ where predicates in different theories are identified. Finally, we can envision a more sophisticated unification as entailment relations among T1 and T2 and their empirical grounds. In all these cases, we propose scenarios of inconceivability based on a minimal consistency requirement run against the “syntactic view” of scientific theories. The upshot of this mechanism is that some alternatives to T1, which remain unconceived within the conceptual and ideological space of T1, can be eliminated because they are inconsistent with empirical constraints on T2. The overall space of ‘serious’ alternatives to both theories is ‘thinned.’ Consistency is a requirement that conditions inter-theoretical relations, mainly when the overlapping evidence supports theories. This argument illustrates in what sense PUA is lessened when scientists or scientific communities operate based on theoretical posits.

Keywords: unconceived alternatives, K. Stanford, antirealism, conceptual space, B. Van Fraassen, P. Gärdenfors

Bibliography

Bangu, S. (2017). Scientific Explanation and Understanding: Unificationism Reconsidered. European Journal for Philosophy of Science, 7(1), 103–126. https://doi.org/10.1007/s13194-016-0148-y
Benferhat, S., Dubois, D., & Prade, H. (1997). Some Syntactic Approaches to the Handling of Inconsistent Knowledge Bases: A Comparative Study Part 1: The Flat Case. Studia Logica, 58(1), 17–45. https://doi.org/10.1023/A:1004987830832
Bhakthavatsalam, S., & Kidd, I. J. (2019). Science, Realism, and Unconceived Alternatives: Introduction to the Special Issue on Unconceived Alternatives. Synthese, 196(10), 3911–3913. https://doi.org/10.1007/s11229-019-02353-z
Blanchard, T. (2018). Bayesianism and Explanatory Unification: A Compatibilist Account. Philosophy of Science, 85(4), 682–703. https://doi.org/10.1086/699157
Bueno, O. (2015). Belief Systems and Partial Spaces. Foundations of Science, 21(1), 225–236. https://doi.org/10.1007/s10699-015-9416-0
Carnap, R. (1995/1966). An Introduction to the Philosophy of Science. Dover Publications.
Cartwright, N. (1999). The Dappled World: A Study of the Boundaries of Science. Cambridge University Press.
Chakravartty, A. (2008). What You Don’t Know Can’t Hurt You: Realism and the Unconceived. Philosophical Studies, 137(1), 149–158. https://doi.org/10.1007/s11098-007-9173-1
Da Costa, N. C., & French, S. (2003). Science and Partial Truth: A Unitary Approach to Models and Scientific Reasoning. Oxford University Press.
Dellsén, F. (2019). Should Scientific Realists Embrace Theoretical Conservatism? Studies in History and Philosophy of Science Part A 76 (August): 30–38. https://doi.org/10.1016/j.shpsa.2018.09.005
Devitt, M. (2011). Are Unconceived Alternatives a Problem for Scientific Realism? Journal for General Philosophy of Science, 42(2), 285–293. https://doi.org/10.1007/s10838-011-9166-9
Dupré, J. (1993). The Disorder of Things: Metaphysical Foundations of the Disunity of Science. Harvard University Press.
Forber, P. (2007). Forever Beyond Our Grasp?: Review of P. Kyle Stanford (2006), Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives. Biology & Philosophy, 23(1), 135–141. https://doi.org/10.1007/s10539-007-9074-x
Friedman, M. (1974). Explanation and Scientific Understanding. Journal of Philosophy, 71(17), 5–19.
Friedman, M. (2001). Dynamics of Reason. Center for the Study of Language.
Gardenfors, P. (1990). Induction, Conceptual Spaces, and AI. Philosophy of Science, 57(1), 78–95.
Gärdenfors, P. (2000). Conceptual Spaces the Geometry of Thought. A Bradford Book. MIT Press.
Gärdenfors, P. (2014). The Geometry of Meaning: Semantics Based on Conceptual Spaces. The MIT Press. https://doi.org/10.7551/mitpress/9629.001.0001
Glashow, S. L. (1980). Towards a Unified Theory: Threads in a Tapestry. Reviews of Modern Physics, 52(3), 539. https://doi.org/10.1103/RevModPhys.52.539
Godfrey-Smith, P. (2007). Recurrent Transient Underdetermination and the Glass Half Full. Philosophical Studies, 137(1), 141–148. https://doi.org/10.1007/s11098-007-9172-2
Halvorson, H. (2013). The Semantic View, If Plausible, Is Syntactic. Philosophy of Science, 80(3), 475–478. https://doi.org/10.1086/671077
Hartmann, S. (2001). Effective Field Theories, Reductionism and Scientific Explanation. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 32(2), 267–304. https://doi.org/10.1016/S1355-2198(01)00005-3
Hempel, C. (1966). Philosophy of Natural Science (1st ed.). Pearson.
Kafatos, F. C., & Eisner, T. (2004). Unification in the Century of Biology. Science. New York, N. Y.), 303(5662), 1257.
Kao, M. (2019). Unification Beyond Justification: A Strategy for Theory Development. Synthese, 196(8), 3263–3278. https://doi.org/10.1007/s11229-017-1515-8
Kitcher, P. (1981). Explanatory Unification. Philosophy of Science, 48, 507–531.
Kitcher, P. (1995). The Advancement of Science: Science Without Legend, Objectivity Without Illusions. Oxford University Press.
Kitcher, P. (1999). Unification as a Regulative Ideal. Perspectives on Science, 7, 337–348.
Kukla, A. (2010). A. Kukla’s Review of “Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives”, by P. Kyle Stanford. Mind, 119(473), 243–246.
Lutz, S. (2014). What’s Right with a Syntactic Approach to Theories and Models? Erkenntnis, 79(S8), 1475–1492. https://doi.org/10.1007/s10670-013-9578-5
Lutz, S. (2017). What Was the Syntax-Semantics Debate in the Philosophy of Science About? Philosophy and Phenomenological Research, 95(2), 319–352. https://www.jstor.org/stable/48578792
Magnus, P. D. (2006). What’s New about the New Induction? Synthese, 148(2), 295–301. https://doi.org/10.2307/20118691
Massimi, M. (2021). Realism, Perspectivism, and Disagreement in Science. Synthese, 198(S25), 6115–6141. https://doi.org/10.1007/s11229-019-02500-6
Maudlin, T. (1996). On the Unification of Physics. Journal of Philosophy, 93(3), 129–144.
Mizrahi, M. (2022). Theoretical Virtues in Scientific Practice: An Empirical Study. British Journal for the Philosophy of Science, 73(4), 879–902. https://doi.org/10.1086/714790
Morrison, M. (2000). Unifying Scientific Theories: Physical Concepts and Mathematical Structures. Cambridge University Press.
Patrick, K. (2018). Unity As An Epistemic Virtue. Erkenntnis, 83(5), 983–1002. https://doi.org/10.1007/s10670-017-9923-1
Plutynski, A. (2005). Explanatory Unification and the Early Synthesis. The British Journal for the Philosophy of Science, 56(3), 595–609. http://bjps.oxfordjournals.org/cgi/content/abstract/56/3/595
Psillos, S. (1999). Scientific Realism: How Science Tracks Truth. Routledge.
Quine, W. V. (1951). Ontology and Ideology. Philosophical Studies, 2(1), 11–15. https://doi.org/10.1007/BF02198233
Quine, W. V., & Ullian, J. S. (2007). Ţesătura Opiniilor. (Romanian edition of Web of Belief) (M. Dumitru, Trans.). Paralela 45.
Radick, G. (2022). Disputed Inheritance: The Battle over Mendel and the Future of Biology. The University of Chicago Press.
Roche, W., & Sober, E. (2017). Explanation = Unification? A New Criticism of Friedman’s Theory and a Reply to an Old One. Philosophy of Science, 84(3), 391–413. https://doi.org/10.1086/692140
Rowbottom, D. P. (2019). Extending the Argument from Unconceived Alternatives: Observations, Models, Predictions, Explanations, Methods, Instruments, Experiments, and Values. Synthese, 196(10), 3947–3959. https://doi.org/10.1007/s11229-016-1132-y
Ruhmkorff, S. (2019). Unconceived Alternatives and the Cathedral Problem. Synthese, 196(10), 3933–3945. https://doi.org/10.1007/s11229-015-0947-2
Saatsi, J. (2019). Historical Inductions, Old and New. Synthese, 196(10), 3979–3993. https://doi.org/10.1007/s11229-015-0855-5
Saatsi, J., Psillos, S., Winther, R. G., & Stanford, P. K. (2009). Grasping At Realist Straws. Metascience, 18(3), 355–390. https://doi.org/10.1007/s11016-009-9299-1
Schindler, S. (2018). Theoretical Virtues in Science: Uncovering Reality Through Theory. Cambridge University Press. https://doi.org/10.1017/9781108381352
Schindler, S. (2022). Theoretical Virtues: Do Scientists Think What Philosophers Think They Ought to Think? Philosophy of Science, 89(3), 542–564. https://doi.org/10.1017/psa.2021.40
Schupbach, J. N. (2005). On a Bayesian Analysis of the Virtue of Unification. Philosophy of Science, 72(4), 594–607.
Sklar, L. (1981). Do Unborn Hypotheses Have Rights? Pacific Philosophical Quarterly Anc Personalist (The) Los Angeles. Cal., 62(1), 17–29. http://cat.inist.fr/?aModele=afficheN&cpsidt=12557219
Sklar, L. (2000). Theory and Truth: Philosophical Critique Within Foundational Science. Oxford University Press.
Smocovitis, V. B. (1992). Unifying Biology: The Evolutionary Synthesis and Evolutionary Biology. Journal of the History of Biology, 25(1), 1–65. http://www.jstor.org/stable/4331201
Stanford, P. K. (2006). Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives. New York.
Stanford, P. K. (2009). Scientific Realism, the Atomic Theory, and the Catch-All Hypothesis: Can We Test Fundamental Theories Against All Serious Alternatives? Br J Philos Sci, 60(2), 253–269. https://doi.org/10.1093/bjps/axp003
Stanford, P. K. (2015a). Catastrophism, Uniformitarianism, and a Scientific Realism Debate That Makes a Difference. Philosophy of Science, 82(5), 867. https://doi.org/10.1086/683325
Stanford, P. K. (2015b). Unconceived Alternatives and Conservatism in Science: The Impact of Professionalization, Peer-Review, and Big Science. Synthese, 196, 3915–3932. https://doi.org/10.1007/s11229-015-0856-4
Stanford, P. K. (2021). Realism. Oxford University Press. https://doi.org/10.1093/oso/9780190946814.003.0010
Van Fraassen, B. C. (2008). Scientific Representation: Paradoxes of Perspective. Clarendon Press; Oxford University Press.
Vickers, P. (2013). A Confrontation of Convergent Realism. Philosophy of Science, 80(2), 189–211. https://doi.org/10.1086/670297
Votsis, I. (2007). J. Votsis’s Review of “Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives” by K. Stanford. International Studies in the Philosophy of Science, 21(1), 103–106.
Zamora Bonilla, J. P. (2019). Realism Versus Anti-Realism: Philosophical Problem or Scientific Concern? Synthese, 196(10), 3961–3977. https://doi.org/10.1007/s11229-015-0988-6
Zenker, F., & Gärdenfors, P. (Eds.). (2015). Applications of Conceptual Spaces The Case for Geometric Knowledge Representation. Sp.

Bibliography