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What Do We Mean by “True” in Scientific Realism?

  • Robert W. P. LukEmail author
Article
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Abstract

A crucial aspect of scientific realism is what do we mean by true. In Luk’s theory and model of scientific study, a theory can be believed to be “true” but a model is only accurate. Therefore, what do we mean by a “true” theory in scientific realism? Here, we focus on exploring the notion of truth by some thought experiments and we come up with the idea that truth is related to what we mean by the same. This has repercussion to the repeatability of the experiments and the predictive power of scientific knowledge. Apart from sameness, we also found that truth is related to the granularity of the observation, the limit of detection, the distinguishability of the objects in theory, the simultaneous measurements of objects/processes, the consistencies of the theory and the one-to-one correspondence between terms/events and objects/processes, respectively. While there is no guarantee that we can arrive at the final “true” theory, we have a process/procedure with more and more experiments together with our own ingenuity, to direct us towards such a “true” theory. For quantum mechanics, since a particle is also regarded as a wave, quantum mechanics cannot be considered as a true theory based on the correspondence theory of truth. Failing this, truth may be defined by the coherence theory of truth which is similar to the coherence of beliefs. However, quantum mechanics may not be believed to be a true theory based on the coherence theory of truth because wave properties and particle properties may contradict. Further research is needed to address this problem if we want to regard quantum mechanics as a “true” theory.

Keywords

Truth Pessimistic induction No miracle argument Scientific realism 

Notes

References

  1. Chakravartty, A. (2001). The semantic or model-theoretic view of theories and scientific realism. Synthese, 127(3), 325–345.Google Scholar
  2. Eddington, A. S. (1928). The nature of the physical world (p. 201). Cambridge: MacMillan.Google Scholar
  3. Hoyningen-Huene, P. (2018). Are there good arguments against scientific realism? In A. Christian, D. Hommen, N. Retzlaff, & G. Schurz (Eds.), Philosophy of science: Between the natural sciences, the social sciences and the humanities (pp. 3–22). Cham: Springer International Publishing AG.Google Scholar
  4. Kosso, P. (2000). Quantum mechanics and realism. Foundations of Science, 5(1), 47–60.Google Scholar
  5. Laudan, L. (1981). A confutation of convergent realism. Philosophy of Science, 48(1), 19–49.Google Scholar
  6. Luk, R. W. P. (2010). Understanding scientific study via process modeling. Foundations of Science, 15(1), 49–78.Google Scholar
  7. Luk, R. W. P. (2017). A theory of scientific study. Foundations of Science, 22(1), 11–38.Google Scholar
  8. Luk, R. W. P. (2018a). On the implications and extensions of Luk’s theory and model of scientific study. Foundations of Science, 23(1), 103–118.Google Scholar
  9. Luk, R. W. P. (2018b). To explain or to predict: Which one is mandatory? Foundations of Science, 23(2), 411–414.Google Scholar
  10. Luk, R. W. P. (2019). Why is Bayesian confirmation theory rarely practiced? Science & Philosophy, 7(1), 3–20.Google Scholar
  11. Norris, C. (2000). Quantum nonlocality and the challenge to scientific realism. Foundations of Science, 5(1), 3–45.Google Scholar
  12. Ozawa, M. (1988). Measurement breaking the standard quantum limit for free-mass position. Physical Review Letters, 60(5), 385–388.Google Scholar
  13. Park, S. (2017). Why should we be pessimistic about antirealists and pessimists? Foundations of Science, 22(3), 613–625.Google Scholar
  14. Putnam, H. (1975). Mathematics, matter and method. Cambridge: Cambridge University Press.Google Scholar
  15. Rabinowitz, M. (2013). Challenges to Bohr’s wave–particle complementarity principle. International Journal of Theoretical Physics, 52(2), 668–678.Google Scholar
  16. Rainville, S., Thompson, J. K., Myers, E. G., Brown, J. M., Dewey, M. S., Kessler, E. G., Jr., et al. (2005). A direct test of E = mc2. Nature, 438(22), 1096–1097.Google Scholar
  17. Russo, F. (2006). Salmon and Van Fraassen on the existence of unobservable entities: A matter of interpretation of probability. Foundations of Science, 11(3), 221–247.Google Scholar
  18. Sankey, H. (2017). Realism, progress and the historical turn. Foundations of Science, 22(1), 201–204.Google Scholar
  19. Valdesolo, P. (2013). Scientists find one source of prayer’s power. Mind (Scientific American). Retrieved June 16, 2019 from https://www.scientificamerican.com/article/scientists-find-one-sourceof-prayers-power/.
  20. Van Fraassen, B. (1980). The scientific image. Oxford: Clarendon Press.Google Scholar
  21. Weston, T. (1987). Approximate truth. Journal of Philosophical Logic, 16(2), 203–227.Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of ComputingThe Hong Kong Polytechnic UniversityHung Hom, KowloonHong Kong

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