Skip to main content

The Ultimate Argument Against Convergent Realism and Structural Realism: The Impasse Objection

  • Conference paper
  • First Online:
EPSA11 Perspectives and Foundational Problems in Philosophy of Science

Part of the book series: The European Philosophy of Science Association Proceedings ((EPSP,volume 2))

Abstract

The target of the impasse objection is any kind of scientific realism that bases its plausibility on the stable presence of some X in a sequence of theories. For instance, if X is a set of theoretical entities that remains stable even over some scientific revolutions, this may be taken as support for convergent scientific realism about entities. Likewise, if X is a similarly stable set of structures of theories, this may be taken as support for (convergent) structural realism. The impasse objection states that the conceded stability of X could also be due to the existence of an empirically extremely successful though ontologically significantly false theory. In this case, the inference from the stability of X to the probable reality of X would become invalid. The paper closes with a discussion of several counter-objections to the impasse objection.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    There is another type of SR that Holger Lyre has dubbed the “French-Ladyman-type” approach to SR, contrasting it with the “Worrall-type” approach discussed above (Lyre 2010). The French-Ladyman approach applies SR directly to concrete physical theories instead of defending it at length by general arguments at a very abstract level.

  2. 2.

    This is a situation that also occurs in the sciences. For instance, in the mid 1970s there was a variety of apparently different two-dimensional lattice models that agreed in their predictions of certain crucial thermodynamic properties. Therefore, these predictions appeared to be model independent and thus especially trustworthy. However, at a conference in 1977, the Australian physicist Rodney J. Baxter presented a model that showed that most of the current models were special cases of his own more general model (see Baxter 1977). Consequently, the confidence in the model-independency of the predictions due to their production by apparently different models immediately collapsed.

References

  • Baxter, R. J. (1977). Soluble models on the triangular and other lattices. In D. Cabib, C. G. Kuper, & I. Riess (Eds.), Annals of the Israel Physical Society. Statistical physics, statphys 13, Proceedings of the 13th IUPAP conference held 24–30 August, 1977 at the Technion Israel Institute of Technology (Vol. 2, pp. 37–47). Bristol: Hilger.

    Google Scholar 

  • Carrier, M. (1991). What is wrong with the miracle argument? Studies in the History and Philosophy of Science, 22, 23–36.

    Article  Google Scholar 

  • Earman, J. (1992). Bayes or Bust? A critical examination of Bayesian confirmation theory. Cambridge, MA: MIT Press.

    Google Scholar 

  • Frost-Arnold, G. (2010). The no-miracles argument for realism: Inference to an unacceptable explanation. Philosophy of Science, 77(1), 35–58.

    Article  Google Scholar 

  • Hoyningen-Huene, P. (2011). Reconsidering the miracle argument on the supposition of transient underdetermination. Synthese, 180(2), 173–187.

    Article  Google Scholar 

  • Ladyman, J. (2009). Structural realism. In Edwin N. Zalta (Ed.), Stanford encyclopedia of philosophy. http://plato.stanford.edu/entries/structural-realism/

  • Leplin, J. (1997). A novel defense of scientific realism. Oxford: Oxford University Press.

    Google Scholar 

  • Lyre, H. (2004). Holism and structuralism in U(1) gauge theory. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 35(4), 643–670.

    Google Scholar 

  • Lyre, H. (2010). Humean perspectives on structural realism. In F. Stadler (Ed.), The present situation in the philosophy of science (pp. 381–397). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Musgrave, A. (1988). The ultimate argument for scientific realism. In R. Nola (Ed.), Relativism and realism in science. Dordrecht: Kluwer.

    Google Scholar 

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

    Google Scholar 

  • Psillos, S. (2006). Thinking about the ultimate argument for realism. In C. Cheyne & J. Worrall (Eds.), Rationality and reality: Conversations with Alan Musgrave (pp. 133–156). Berlin: Springer.

    Chapter  Google Scholar 

  • Sankey, H. (2004). Scientific realism: An elaboration and a defence. In M. Carrier, J. Roggenhofer, G. Küppers, & P. Blanchard (Eds.), Knowledge and the world: Challenges beyond the science wars (pp. 55–80). Berlin: Springer.

    Chapter  Google Scholar 

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

    Book  Google Scholar 

  • Votsis, I. (2011). Structural realism: Continuity and its limits. In P. Bokulich & A. Bokulich (Eds.), Scientific structuralism (pp. 105–117). Dordrecht: Springer. Available at http://philsci-archive.pitt.edu/5233/1/VotsisStructuralRealismContinuityanditsLimits.pdf

  • Worrall, J. (1985). Scientific discovery and theory-confirmation. In J. C. Pitt (Ed.), Change and progress in modern science (pp. 301–332). Dordrecht: Reidel.

    Chapter  Google Scholar 

  • Worrall, J. (1989). Fresnel, Poisson, and the white spot: The role of successful predictions in the acceptance of scientific theories. In D. Gooding, T. Pinch, & S. Schaffer (Eds.), The use of experiment. Studies in the Natural Sciences (pp. 135–157). Cambridge: Cambridge University Press.

    Google Scholar 

  • Worrall, J. (1996 [1989]). Structural realism: The best of both worlds? In D. Papineau (Ed.), The Philosophy of science (pp. 139–165) (originally in Dialectica, 143, 199–124 (1989)). Oxford: Oxford University Press.

    Google Scholar 

Download references

Acknowledgements

I wish to especially thank Thomas Reydon for inspiring remarks on an earlier draft of this paper, but also Claus Beisbart, Matteo Collodel, Nils Hoppe, Simon Lohse, Holger Lyre, Eric Oberheim and an anonymous referee for insightful and constructive comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul Hoyningen-Huene .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Hoyningen-Huene, P. (2013). The Ultimate Argument Against Convergent Realism and Structural Realism: The Impasse Objection. In: Karakostas, V., Dieks, D. (eds) EPSA11 Perspectives and Foundational Problems in Philosophy of Science. The European Philosophy of Science Association Proceedings, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-01306-0_11

Download citation

Publish with us

Policies and ethics