Allocating confirmation with derivational robustness
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Robustness may increase the degree to which the robust result is indirectly confirmed if it is shown to depend on confirmed rather than disconfirmed assumptions. Although increasing the weight with which existing evidence indirectly confirms it in such a case, robustness may also be irrelevant for confirmation, or may even disconfirm. Whether or not it confirms depends on the available data and on what other results have already been established.
KeywordsRobustness Indirect confirmation Climate models Diagrams
This research was financially supported by the Academy of Finland. Thanks for Till Grüne-Yanoff, Jaakko Kuorikoski, Chiara Lisciandra, Uskali Mäki, Caterina Marchionni, Jani Raerinne and Jacob Stegenga for their comments on various versions of this paper. I also wish to thank Jouni Räisänen for directing me to some relevant climate modelling literature, and Jonah Schupbach for the Sherlock Holmes quote. Finally I want to thank an anonymous reviewer for exceptionally useful comments on the manuscript at the final stages. The usual disclaimers apply.
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Conflicts of interest
There are no potential conflicts of interest concerning this paper. Humans or animals were not used in the research and thus there was no need to ask for anybody’s consent.
- Flato, G., & Marotzke, J. (2013). Evaluation of climate models. In J. Bartholy, R. Vautard, & T. Yasunari (Eds.), Climate change 2013: The physical science basis. Working Group I contribution to the IPCC Fifth Assessment Report (AR5) (pp. 1–205). Cambridge: Cambridge University Press.Google Scholar
- Garber, D. (1983). Old evidence and logical omniscience in bayesian confirmation theory. In J. Earman (Ed.), Testing scientific theories. Minnesota: Minnesota University Press.Google Scholar
- Hegerl, G. C., et al. (2007). Understanding and attributing climate change. In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, & H. L. Miller (Eds.), Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the intergovernmental panel on climate change (pp. 663–745). Cambridge and New York: Cambridge University Press.Google Scholar
- Lehtinen, A. (2015). Derivational robustness and indirect confirmation. University of Helsinki (manuscript).Google Scholar
- Randall, D. A., et al. (2007). Climate models and their evaluation. In S. Solomon, et al. (Eds.), Climate change 2007: The physical science basis (pp. 589–662). Cambridge and New York: Cambridge University Press.Google Scholar
- Schurz, G. (1991). Relevant deduction. Erkenntnis, 35, 391–437.Google Scholar
- Wimsatt, W. C. (1981). Robustness, reliability and overdetermination. In M. B. Brewer & B. E. Collins (Eds.), Scientific inquiry and the social sciences (pp. 124–163). San Francisco: Jossey-Bass.Google Scholar