An antirealist explanation of the success of science

Philosophy of Science 67 (2):266-284 (2000)
I develop an account of predictive similarity that allows even Antirealists who accept a correspondence conception of truth to answer the Realist demand (recently given sophisticated reformulations by Musgrave and Leplin) to explain the success of particular scientific theories by appeal to some intrinsic feature of those theories (notwithstanding the failure of past efforts by van Fraassen, Fine, and Laudan). I conclude by arguing that we have no reason to find truth a better (i.e., more plausible) explanation of a theory's success than predictive similarity, even of its success in making novel predictions
Keywords No keywords specified (fix it)
Categories (categorize this paper)
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
Download options
PhilPapers Archive

Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 14,850
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Citations of this work BETA
Moti Mizrahi (2012). Why the Ultimate Argument for Scientific Realism Ultimately Fails. Studies in History and Philosophy of Science Part A 43 (1):132-138.

View all 8 citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

123 ( #14,843 of 1,707,790 )

Recent downloads (6 months)

15 ( #47,831 of 1,707,790 )

How can I increase my downloads?

My notes
Sign in to use this feature

Start a new thread
There  are no threads in this forum
Nothing in this forum yet.