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- Howard Sankey (2006). Why is It Rational to Believe Scientific Theories Are True? In Colin Cheyne & John Worrall (eds.), Rationality and Reality: Conversations with Alan Musgrave. Springer.Alan Musgrave is one of the foremost contemporary defenders of scientific realism. He is also one of the leading exponents of Karl Popper’s critical rationalist philosophy. In this paper, my main focus will be on Musgrave’s realism. However, I will emphasize epistemological aspects of realism. This will lead me to address aspects of his critical rationalism as well.
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The thesis of underdetermination of theory by evidence has led to an opposition between realism and relationism in philosophy of science. Various forms of the thesis are examined, and it is concluded that it is true in at least a weak form that brings realism into doubt. Realists therefore need, among other things, a theory of degrees of confirmation to support rational theory choice. Recent such theories due to Glymour and Friedman are examined, and it is argued that their criterion of "unification" for good theories is better formulated in Bayesian terms. Bayesian confirmation does, however, have consequences that tell against realism. It is concluded that the prospects are dim for scientific realism as usually understood.
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This paper outlines a defense of scientific realism against the pessimistic meta-induction which appeals to the phenomenon of the exponential growth of science. Here, scientific realism is defined as the view that our current successful scientific theories are mostly approximately true, and pessimistic meta-induction is the argument that projects the occurrence of past refutations of successful theories to the present concluding that many or most current successful scientific theories are false. The defense starts with the observation that at least 80% of all scientific work ever done has been done since 1950, proceeds with the claim that practically all of our most successful theories were entirely stable during that period of time, and concludes that the projection of refutations of successful theories to the present is unsound. In addition to this defense, the paper offers a framework through which scientific realism can be compared with two types of anti-realism. The framework is also of help to examine the relationships between these three positions and the three main arguments offered respectively in their support (No-miracle argument, pessimistic meta-induction, underdetermination).
Scientific realism is the view that our best scientific theories give approximately true descriptions of both observable and unobservable aspects of a mind-independent world. Debates between realists and their critics are at the very heart of the philosophy of science. Anjan Chakravartty traces the contemporary evolution of realism by examining the most promising recent strategies adopted by its proponents in response to the forceful challenges of antirealist sceptics, resulting in a positive proposal for scientific realism today. He examines the core principles of the realist position, and sheds light on topics including the varieties of metaphysical commitment required, and the nature of the conflict between realism and its empiricist rivals. By illuminating the connections between realist interpretations of scientific knowledge and the metaphysical foundations supporting them, his book offers a compelling vision of how realism can provide an internally consistent and coherent account of scientific knowledge.
Folk psychological realism is the view that folk psychology is true and that people really do have propositional attitudes, whereas anti-realism is the view that folk psychology is false and people really do not have propositional attitudes. We argue that anti-realism is not worthy of acceptance and that realism is eminently worthy of acceptance. However, it is plainly epistemically possible to favor either of two forms of folk realism: scientific or non-scientific. We argue that non-scientific realism, while perhaps unpopular among philosophers of mind, is a distinct form of realism from scientific realism, and that it is not yet knowable whether scientific or non-scientific realism is true. We also outline how adopting realism, but remaining neutral between scientific and non-scientific realism, offers fresh insights into such topics as instrumentalism, supervenience, the language of thought hypothesis, and elimin-ativism.
It is often thought that questions of reference are crucial in assessing scientific realism, construed as the view that successful theories are at least approximately true descriptions of the unobservable; realism is justified only if terms in empirically successful theories generally refer to genuinely existing entities or properties. In this paper this view is questioned. First, it is argued that there are good reasons to think that questions of realism are largely decided by convention and carry no epistemic significance. An alternative conception of realism is then proposed, which focuses on the Ramsey sentences of scientific theories, constructed in the manner of David Lewis's 'How to define theoretical terms'. It is argued that because the Ramsey sentence of a theory preserves the epistemically significant part of the theory's content without generating commitments to any particular conclusions about reference, the realism issue is better addressed by asking whether Ramsey sentences of theories, rather than the theories themselves, are approximately true.
This paper describes the position of scientific realism and presents the basic lines of argument for the position. Simply put, scientific realism is the view that the aim of science is knowledge of the truth about observable and unobservable aspects of a mind-independent, objective reality. Scientific realism is supported by several distinct lines of argument. It derives from a non-anthropocentric conception of our place in the natural world, and it is grounded in the epistemology and metaphysics of common sense. Further, the success of science entitles us to infer both the approximate truth of mature scientific theories and the truth-conduciveness of the methods of science.
The paper considers the two main challenges to scientific realism, stemming from confirmation holism and the underdetermination thesis as well as from semantic holism and the incommensurability thesis. Against the first challenge, it is argued that there are other criteria besides agreement with experience that enable a rational evaluation of competing theories. Against the second challenge, it is argued that at most a thesis of local incommensurability can be defended that is compatible with a minimal version of scientific realism, namely conjectural realism. However, in order to establish a fully-fledged scientific realism, one has to refute the local incommensurability thesis as well, showing how a comparison is possible on the level of the proper concepts of the theories in question. The paper examines the prospects for such a comparison, distinguishing three cases.
Take the following version of scientific realism: we have good reason to believe that (some of the) current scientific theories tell us something specific about the underlying, i.e. unobservable, structures of the world, for instance that there are electrons with a certain electric charge, or that there are viruses that cause certain diseases. Popper, the rationalist, would not have adhered to the proposed formulation of scientific realism in terms of the rationality of existential beliefs concerning unobservables. Popper did not believe in belief. According to Van Fraassen, the empiricist, one may yet have a rational existential belief concerning unobservables, given a liberal notion of rationality of belief. In this paper I will investigate to what extent a reassessment of both Popper's rejection of the rationality of belief and Van Fraassen's reformulation of the rationality of belief, points towards a new and pragmatist dissolution of the 'problem of scientific realism'.
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Scientific realism is the view that the aim of science is to produce true or approximately true theories about nature. It is a view which not only is shared by many philosophers but also by scientists themselves. Regarding Kuhn’s rejection of scientific progress, Steven Weinberg once declared: “All this is wormwood to scientists like myself, who think the task of science is to bring us closer and closer to objective truth.” But such a realist view on scientific theories is not without problems. The paper discusses some arguments for and against the ontological commitments that scientific theories may entail. The upshot is that scientific realism according to which the semantic content of theories should be understood literally is not sustainable. Instead, it is argued that only realism with respect to entities can be reasonably and practically maintained. Finally, the paper discusses structural realism which presents itself as a modern alternative to scientific realism which may meet both the optimistic no-miracle argument and the pessimistic meta-induction argument. My conclusion is that such a position is neither attractive nor defendable.
Scientific realism is the position that the aim of science is to advance on truth and increase knowledge about observable and unobservable aspects of the mind-independent world which we inhabit. This book articulates and defends that position. In presenting a clear formulation and addressing the major arguments for scientific realism Sankey appeals to philosophers beyond the community of, typically Anglo-American, analytic philosophers of science to appreciate and understand the doctrine. The book emphasizes the epistemological aspects of scientific realism and contains an original solution to the problem of induction that rests on an appeal to the principle of uniformity of nature.
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