Scientific antirealists run the argument from underconsideration against scientific realism. I argue that the argument from underconsideration backfires on antirealists’ positive philosophical theories, such as the contextual theory of explanation (van Fraassen, 1980), the English model of rationality (van Fraassen, 1989), the evolutionary explanation of the success of science (Wray, 2008; 2012), and explanatory idealism (Khalifa, 2013). Antirealists strengthen the argument from underconsideration with the pessimistic induction against current scientific theories. In response, I construct a pessimistic induction (...) against antirealists that since antirealists generated problematic philosophical theories in the past, they must be generating problematic philosophical theories now. (shrink)

There are nine antirealist explanations of the success of science in the literature. I raise difficulties against all of them except the latest one, and then construct a pessimistic induction that the latest one will turn out to be problematic because its eight forerunners turned out to be problematic. This pessimistic induction is on a par with the traditional pessimistic induction that successful present scientific theories will be revealed to be false because successful past scientific theories were revealed (...) to be false. (shrink)

Van Fraassen (1980) claims that successful theories exist today because successful theories survive and unsuccessful ones die. Wray (2007, 2010) appeals to Stanford’s new pessimistic induction (2006), arguing that van Fraassen’s selectionist explanation is better than the realist explanation that successful theories exist because they are approximately true. I argue that if the pessimistic induction is correct, then the evolutionary explanation is neither true nor empirically adequate, and that realism is better than selectionism because realism explains more phenomena in science (...) than selectionism. (shrink)

Scientific realists believe both what a scientific theory says about observables and unobservables. In contrast, scientific antirealists believe what a scientific theory says about observables, but not about unobservables. I argue that scientific realism is a more useful doctrine than scientific antirealism in science classrooms. If science teachers are antirealists, they are caught in Moore’s paradox when they help their students grasp the content of a scientific theory, and when they explain a (...) phenomenon in terms of a scientific theory. Teachers ask questions to their students to check whether they have grasped the content of a scientific theory. If the students are antirealists, they are also caught in Moore’s paradox when they respond positively to their teachers’ questions, and when they explain a phenomenon in terms of a scientific theory. Finally, neither teachers nor students can understand phenomena in terms of scientific theories, if they are antirealists. (shrink)

If scientists embrace scientific realism, they can use a scientific theory to explain and predict observables and unobservables. If, however, they embrace scientific antirealism, they cannot use a scientific theory to explain observables and unobservables, and cannot use a scientific theory to predict unobservables. Given that explanation and prediction are means to make scientific progress, scientists can make more scientific progress, if they embrace scientific realism than if they embrace scientific (...) antirealism. (shrink)

Van Fraassen contends that there is no argument that rationally compels us to disbelieve a successful theory, T. I object that this contention places upon him the burden of showing that scientific antirealists’ favorite arguments, such as the pessimistic induction, do not rationally compel us to disbelieve T. Van Fraassen uses the English view of rationality to rationally disbelieve T. I argue that realists can use it to rationally believe T, despite scientific antirealists’ favorite arguments against T.

The current state of philosophy of science is characterized by stasis in the struggle between realism and antirealism. In recent years, a number of authors have come out with a program of scientific perspectivism that claims to sublate this great collision and gain the status of a new epistemological paradigm: “perspectivism, or, better, perspectival realism, is one of the newest attempts to find a middle ground between scientific realism and antirealism” [1. P. 2]. Important milestones of (...) the perspective movement were the works of Ronald Giere, Francois Recanati, Bas van Fraassen, Michela Massimi, and others. The thesis of the article is that perspectivism has not yet realized its claims to autonomy, although it has become an important new arena for discussions between realists and antirealists who try to appropriate perspectivist concepts and arguments. The “middle ground,” when thought out consistently and thoroughly, turns out to lie not “between,” but either in the territory of realism or in the territory of antirealism, depending on the presumptions of the author of a particular perspectivist conception. This is demonstrated by the analysis of the conceptions of Giere, Massimi, and Recanati. Giere’s perspectivism is based on the metaphor of color vision, and for him only some (secondary) qualities of real objects turn out to be perspectival, i.e., subject-dependent. Massimi’s perspectivism attempts, on the basis of a visual arts metaphor, to combine the phenomenon of the plurality of scientific theories (“perspectival disagreement” about what an object is) with the general realist attitude of science (agreement about that there is an object). Recanati’s perspectivism syncretizes realism about ordinary objects and relativism about other things. The first two versions of perspectivism rely on a perceptual metaphor: perspective is conditioned by the perceptual constitution of the observer, that is, it arises at the mental or cognitive level. Recanati’s version attempts to derive perspective from contextuality, that is, it is semantic. However, it does not show exactly how perceptual categories are superimposed on theories or how scientific concepts reveal their perspectival character. The isomorphism of perception and theoretical thinking, sensibility and understanding, remains undemonstrated. On the one hand, perspectivist efforts are motivated by an important concern to account for antirealist critique (lack of access to the “view from nowhere,” factual and semantic underdetermination, difficulties with the idea of approaching the truth, the historicity of knowledge, the activeness of the constructing subject, etc.) while preserving the scientific commitment to universality, validity, and truthfulness. On the other hand, the ontological question remains fundamental and unavoidable, and perspectivism (yet?) fails to circumvent it. As we see, all three versions of perspectivism considered in this article turn out to be varieties of realism: Giere and Massimi recognize this explicitly, while Recanati de facto assumes a quite respectable and conservative position of selective realism with respect to ordinary objects. (shrink)

In this article, I make a novel argument for scientific antirealism. My argument is as follows: (1) the best human chess players would lose to the best computer chess programs; (2) if the best human chess players would lose to the best computer chess programs, then there is good reason to think that the best human chess players do not understand how to make winning moves; (3) if there is good reason to think that the best human chess (...) players do not understand how to make winning moves, then there is good reason to think that the best human theories about unobservables are wrong; therefore, (4) there is good reason to think that the best human theories about unobservables are wrong. The article is divided into three sections. In the first, I outline the backdrop for my argument. In the second, I explain my argument. In the third, I consider some objections. (shrink)

The pessimistic induction over scientific theories holds that present theories will be overthrown as were past theories. The pessimistic induction over scientists holds that present scientists cannot conceive of future theories just as past scientists could not conceive of present theories. The pessimistic induction over realists :4321–4330, 2013) holds that present realists are wrong about present theories just as past realists were wrong about past theories. The pessimistic induction over antirealist theories :3–21, 2014) holds that the latest antirealist explanation (...) of the success of science :891–901, 2003) has hidden problems just as its eight predecessors did. In this paper, I criticize the pessimistic inductions over scientific theories, scientists, and realists, introduce a pessimistic induction over antirealist theories, and then construct two new pessimistic inductions. One is a pessimistic induction over antirealists according to which the author of the latest antirealist proposal cannot see hidden problems with his proposal just as his antirealist predecessors could not see hidden problems with their proposals. The other is the pessimistic induction over pessimists according to which since past pessimists have been wrong about their present scientific theories from the early twentieth century to the early twenty-first century, future pessimists will also be wrong about their present scientific theories from the early twenty-first century to the early twenty-second century. (shrink)

The wider the gap between rivaling positions, the more there can be debates between rivaling interlocutors. The gap between the respective formulations of scientific realism and antirealism that invoke the Prussian conception of rationality is wider than the gap between the respective formulations of scientific realism and antirealism that invoke the English conception of rationality. Therefore, scientific realists and antirealists should choose the former over the latter as the framework of their debate.

This paper distinguishes three concepts of "race": bio-genomic cluster/race, biological race, and social race. We map out realism, antirealism, and conventionalism about each of these, in three important historical episodes: Frank Livingstone and Theodosius Dobzhansky in 1962, A.W.F. Edwards' 2003 response to Lewontin (1972), and contemporary discourse. Semantics is especially crucial to the first episode, while normativity is central to the second. Upon inspection, each episode also reveals a variety of commitments to the metaphysics of race. We conclude by (...) interrogating the relevance of these scientific discussions for political positions and a post-racial future. (shrink)

This paper focuses on the discipline of history, its methods, subject, and output. A brief overview of contemporary analytic philosophy of history is provided, followed by critical discussion of historical realism. It is argued that the insistence on the idea that historians inquire into the real past and that they refer to the actual past entities, events, or agents is widely open to sceptical objections. The concept of an abstract historical chronicle of past events which are explained or retold by (...) historians is identified as misleading. The idea of historical antirealism is then introduced. It is argued that in the centre of historian’s attention are present phenomena that are identified as historical evidence and require historical explanation. Historical explanation consists of constituting an historical past—a fictional model that accounts for present data. The identification process of historical evidence and the discursive nature of historical enterprise are analysed and accompanied by several concrete examples. According to historical antirealism, historians are not interested in the real past, but in the present empirical data. In their pursuit of historical knowledge, they produce fictional models—an historical past. Lastly, several common caveats against historical antirealism are addressed. The historical antirealism is presented as a viable fictionalist account of the historical inquiry that is capable of avoiding sceptical attacks on historical method and it is argued that antirealism allows history to retain its worth as a distinctive kind of scientific discipline. (shrink)

This book provides philosophers of science with new theoretical resources for making their own contributions to the scientific realism debate. Readers will encounter old and new arguments for and against scientific realism. They will also be given useful tips for how to provide influential formulations of scientific realism and antirealism. Finally, they will see how scientific realism relates to scientific progress, scientific understanding, mathematical realism, and scientific practice.

We report the results of a study that investigated the views of researchers working in seven scientific disciplines and in history and philosophy of science in regard to four hypothesized dimensions of scientific realism. Among other things, we found that natural scientists tended to express more strongly realist views than social scientists, that history and philosophy of science scholars tended to express more antirealist views than natural scientists, that van Fraassen’s characterization of scientific realism failed to cluster (...) with more standard characterizations, and that those who endorsed the pessimistic induction were no more or less likely to endorse antirealism. (shrink)

Our best social scientific theories try to tell us something about the social world. But is talk of a “social world” a metaphor that we ought not take too seriously? In particular, do the denizens of the social world—cultural values like the Protestant work ethic, firms like ExxonMobil, norms like standards of dress and behavior, institutions like the legal system, teams like FC Barcelona, conventions like marriages—exist? The question is not merely academic. Social scientists use these different social entities (...) to explain social phenomena such as the rise of capitalism, the decline in oil prices, or the effect of unions on the sports labor market. But how could these explanations possibly work if social entities don’t exist? (shrink)

Decades of debate about scientific realism notwithstanding, we find ourselves bemused by what different philosophers appear to think it is, exactly. Does it require any sort of belief in relation to scientific theories and, if so, what sort? Is it rather typified by a certain understanding of the rationality of such beliefs? In the following dialogue we explore these questions in hopes of clarifying some convictions about what scientific realism is, and what it could or should be. (...) En route, we encounter some profoundly divergent conceptions of the nature of science and of philosophy. (shrink)

Scientific antirealism, the view that successful theories are empirically adequate, is untenable in light of the problem of unobserved anomalies that since past scientists could not observe the anomalies that caused the replacement of past theories with present theories, present scientists also cannot observe the anomalies that will cause the replacement of present theories with future theories. There are several moves that antirealists would be tempted to make to get around the problem of unobserved anomalies. All of them, (...) however, are problematic. (shrink)

Scientific progress is a hot topic in the philosophy of science. However, as yet we lack a comprehensive philosophical examination of scientific progress. First, the recent debate pays too much attention to the epistemic approach and the semantic approach. Shan’s new functional approach and Dellsén’s noetic approach are still insufficiently assessed. Second, there is little in-depth analysis of the progress in the history of the sciences. Third, many related philosophical issues are still to be explored. For example, what (...) are the implications of scientific progress for the scientific realism/antirealism debate? Is the incommensurability thesis a challenge to scientific progress? What role does aesthetic values play in scientific progress? Does idealisation impede scientific progress? This book fills this gap. It offers a new assessment of the four main approaches to scientific progress (Part I). It also features eight historical case studies to investigate the notion of progress in different disciplines: physics, chemistry, evolutionary biology, seismology, psychology, sociology, economics, and medicine respectively (Part II). It discusses some issues related to scientific progress: scientific realism, incommensurability, values in science, idealisation, scientific speculation, interdisciplinarity, and scientific perspectivalism (Part III). (shrink)

I will first discuss a peculiarity of the realism-antirealism debate. Some authors defending antirealist positions in a philosophical discussion seem to be inconsistent with what they do when treating scientific subjects. In the latter situation, they behave as realists. This tension can be dissolved by distinguishing different discourses belonging to different levels of philosophical radicality. Depending on the respective level, certain presuppositions are either granted or questioned. I will then turn to a discussion of the miracle argument by (...) discussing a simple example of curve fitting. In the example, multiple use-novel predictions are possible without indicating the truth of the fitting curve. Because this situation has similarities with real scientific cases, it sheds serious doubt upon the miracle argument. Next, I discuss the strategy of selective realism, especially its additional crucial component, the continuity argument. The continuity of some X in a series of theories, with X being responsible for the theories’ use-novel predictions, is taken to be a reliable indicator for the reality of X. However, the continuity of X could as well be due to the similarity of the theories in the series with an empirically very successful theory embodying X, without X being real. Thus, the two main arguments for scientific realism show severe weaknesses. (shrink)

Nickles (2017) advocates scientific antirealism by appealing to the pessimistic induction over scientific theories, the illusion hypothesis (Quoidbach, Gilbert, and Wilson, 2013), and Darwin’s evolutionary theory. He rejects Putnam’s (1975: 73) no-miracles argument on the grounds that it uses inference to the best explanation. I object that both the illusion hypothesis and evolutionary theory clash with the pessimistic induction and with his negative attitude towards inference to the best explanation. I also argue that Nickles’s positive philosophical theories (...) are subject to Park’s (2017a) pessimistic induction over antirealists. (shrink)

In this paper we explore Ronald N. Giere’s contributions to the scientific realism debate. After outlining some of his general views on the philosophy of science, we locate his contributions within the traditional scientific realism debate. We argue that Giere’s scientific perspectivism is best seen as a form of carte blanche realism, that is: a view according to which science is a practice aiming at truth, and can warrantably claim to have attained it, to a certain degree; (...) however, it does not place our confidence invariably in some specific feature of scientific representations. (shrink)

A scientific theory is successful, according to Stanford (2000), because it is suficiently observationally similar to its corresponding true theory. The Ptolemaic theory, for example, is successful because it is sufficiently similar to the Copernican theory at the observational level. The suggestion meets the scientific realists' request to explain the success of science without committing to the (approximate) truth of successful scientific theories. I argue that Stanford's proposal has a conceptual flaw. A conceptually sound explanation, I claim, (...) respects the ontological order between properties. A dependent property is to be explained in terms of its underlying property, not the other way around. The applicability of this point goes well beyond the realm of the debate between scientific realists and antirealists. Any philosophers should keep the point in mind when they attempt to give an explanation of a property in their field whatever it may be. (shrink)

Scientific realism is a thesis about the success of science. Most traditionally: science has been so successful at prediction and guiding action because its best theories are true (or approximately true or increasing in their degree of truth). If science is in the business of doing its best to generate true theories, then we should turn to those theories for explanatory knowledge, predictions, and guidance of our actions and decisions. Views that are popular in contemporary philosophy of science about (...) scientific modeling and the centrality of idealization create several challenges for this traditional form of scientific realism. Yet the basic idea behind scientific realism that science has been and will continue to be epistemically successful is deeply appealing. This chapter explores the challenges posed by idealization and scientific modeling to motivate a scientific realism fully divorced from the idea that science is in the business of generating true theories. On the resulting view, the objects of scientific knowledge are causal patterns, so this knowledge only ever provides partial, simplified accounts of a complex reality. This variety of selective realism better accommodates the nature of our present-day scientific successes and offers an interpretation of scientific progress that resists the antirealist’s pessimism. (shrink)

In this paper, I outline a reductio against Stanford’s “New Induction” on the History of Science, which is an inductive argument against scientific realism that is based on what Stanford (2006) calls “the Problem of Unconceived Alternatives” (PUA). From the supposition that Stanford’s New Induction on the History of Science is cogent, and the parallel New Induction on the History of Philosophy (Mizrahi 2014), it follows that scientific antirealism is not worthy of belief. I also show that (...) denying a key premise in the reductio only forces antirealists who endorse Stanford’s New Induction on the History of Science into a dilemma: either antirealism falls under the axe of Stanford’s New Induction on the History of Science or it falls under the axe of the New Induction on the History of Philosophy. (shrink)

The No-Miracle Argument (NMA) is one of the main argumentation frameworks of scientific realism. Many rebuttals have been offered by antirealists around NMA, the important of which are the Pessimistic Meta-induction (PMI), the Circular Argument, and the Underdetermination of Theory by Evidence. This essay attempts to defend NMA and scientific realism by refuting these three major refutations.

In the Principles of Philosophy, Descartes explains several observable phenomena showing that they are caused by special arrangements of unobservable microparticles. Despite these microparticles being unobservable, many passages suggest that he was very confident that these explanations were correct. In other passages, however, Descartes points out that these explanations merely hold the status of “suppositions” or “conjectures” that could be wrong. My main goal in this chapter is to clarify this apparent conflict. I argue first that for Descartes it was (...) indeed possible to have knowledge of unobservable particles and structures, and that the possibility of natural explanations being wrong should be understood as these explanations not being absolutely certain, but only morally certain. I use the debate in contemporary philosophy of science between scientific realism and antirealism as a framework to understand how Cartesian explanations work. Especifically, I argue that Cartesian explanations rely on what Ernan McMullin calls retroduction, which is a mode of inference that justifies beliefs in concrete unobservable entities and processes, based on considerations such as simplicity, coherence, etc. This kind of justification is of common use among scientific realists. Thus, another goal of this chapter is to highlight the relevance of Descartes’ ideas about explanation in the contemporary debate on scientific realism. (shrink)

A formulational debate is a debate over whether certain definitions of scientific realism and antirealism are useful or useless. By contrast, an epistemological debate is a debate over whether we have sufficient evidence for scientific realism and antirealism defined in a certain manner. I argue that Hilary Putnam’s definitions of scientific realism and antirealism are more useful than Bas van Fraassen’s definitions of scientific realism and constructive empiricism because Putnam’s definitions can generate both (...) formulational and epistemological debates, whereas van Fraassen’s can generate only formulational debates. (shrink)

In this paper, I respond to Sterpetti’s attempt to defend Kyle P. Stanford’s Problem of Unconceived Alternatives and his New Induction over the History of Science from my reductio argument outlined in Mizrahi :59–68, 2016a). I discuss what I take to be the ways in which Sterpetti has misconstrued my argument against Stanford’s NIS, in particular, that it is a reductio, not a dilemma, as Sterpetti erroneously thinks. I argue that antirealists who endorse Stanford’s NIS still face an absurd consequence (...) of this argument, namely, that they should not believe their own brand of scientific antirealism. (shrink)

Scientific realists and antirealists believe that a successful scientific theory is true and merely empirically adequate, respectively. In contrast, epistemic reciprocalists believe that realists’ positive theories are true, and that antirealists’ positive theories are merely empirically adequate, treating their target agents as their target agents treat other epistemic agents. Antirealists cannot convince reciprocalists that their positive theories are true, no matter how confident they might be that they are true. In addition, reciprocalists criticize antirealists’ positive theories exactly in (...) the way that antirealists criticize their epistemic colleagues’ theories. Reciprocalism is a better epistemic policy than realism and antirealism in the epistemic battleground in which we strive to be epistemically safe vis-à-vis our epistemic colleagues’ theories and strive to convince our epistemic colleagues that our theories are true. (shrink)

This paper proposes to carve out a new position in the scientific realism/antirealism debate and argue that it captures some of the most important realist and some of the most important antirealist considerations. The view, briefly stated, is that there is always a fact of the matter about whether the singular statements science gives us are literally true, but there is no fact of the matter about whether the non-singular statements science gives us are literally true. I call (...) this view singularist semirealism. Singularist semirealism sides with scientific realism with regards to singular statements but it is an antirealist view with regards to non-singular statements. In this sense, singularist semirealism could be considered to be ‘the best of both worlds’. 1 Introduction2 Truth and Correctness3 Property-Tokens and Property-Types4 Singularist Semirealism5 Encouragement from Actual Scientific Practice6 Some Potentially Worrying Consequences of Singularist Semirealism7 Some Promising Consequences of Singularist Semirealism8 Conclusion: Theory Change. (shrink)

This paper defends an approach to modeling and models in science that is against model fictionalism of a recent stripe (the “new fictionalism” that takes models to be abstract entities that are analogous to works of fiction). It further argues that there is a version of fictionalism on models to which my approach is neutral and which only makes sense if one adopts a special sort of antirealism (e.g. constructive empiricism). Otherwise, my approach strongly suggests that one stays away (...) from fictionalism and embraces realism directly. (shrink)

I provide a critical review of Moti Mizrahi's The Relativity of Theory, expounding on the book's strengths and then providing an extended argument that Mizrahi mischaracterizes the epistemic attitude of concern to antirealism about science as well as the practical stakes involved in adopting the antirealist position.

In this article, through a critical examination of K. Brad Wray's version of the argument from underconsideration against scientific realism, I articulate a modest version of scientific realism. This modest realist position, which I call ‘relative realism’, preserves the scientific realist's optimism about science's ability to get closer to the truth while, at the same time, taking on board the antirealist's premise that theory evaluation is comparative, and thus that there are no good reasons to think that (...) science's best theories are close to the truth. (shrink)

The article investigates the intuition that both scientific realism and scientific antirealism are turning into degenerating research programs. The evolution of realism in reaction to pessimistic (meta)induction has certainly led to its increased sophistication as it has given rise to various versions of selective realism. However, many current discussions seem either too focused on semantic niceties or are turning into endless quarrels over case-study refutations of particular forms of realism. The point of finding a better understanding of (...) the relations of scientific knowledge to the world seems to get lost in the process. Magnus, Callender, and Saatsi are among those who see the problem. Although drawing on different observations, they agree that the source of the problem is the wholesale approach according to which it is possible to resolve the realism debate in one move, by finding a single universal method of interpreting any scientific theory. Instead, they call for a more modest approach, based on case-by-case analyses. Particularly promising is Saatsi's idea of exemplar realism, according to which realism should be an attitude motivating detailed case studies rather than a specific account of science in general. (shrink)

In this paper we show that the coherence measures of Olsson (J Philos 94:246–272, 2002), Shogenji (Log Anal 59:338–345, 1999), and Fitelson (Log Anal 63:194–199, 2003) satisfy the two most important adequacy requirements for the purpose of assessing theories. Following Hempel (Synthese 12:439–469, 1960), Levi (Gambling with truth, New York, A. A. Knopf, 1967), and recently Huber (Synthese 161:89–118, 2008) we require, as minimal or necessary conditions, that adequate assessment functions favor true theories over false theories and true and informative (...) theories over true but uninformative theories. We then demonstrate that the coherence measures of Olsson, Shogenji, and Fitelson satisfy these minimal conditions if we confront the hypotheses with a separating sequence of observational statements. In the concluding remarks we set out the philosophical relevance, and limitations, of the formal results. Inter alia, we discuss the problematic implications of our precondition that competing hypotheses must be confronted with a separating sequence of observational statements, which also leads us to discuss theory assessment in the context of scientific antirealism. (shrink)

Lyons’s (2003, 2018) axiological realism holds that science pursues true theories. I object that despite its name, it is a variant of scientific antirealism, and is susceptible to all the problems with scientific antirealism. Lyons (2003, 2018) also advances a variant of surrealism as an alternative to the realist explanation for success. I object that it does not give rise to understanding because it is an ad hoc explanans and because it gives a conditional explanation. Lyons (...) might use axiological realism to account for the success of a theory. I object that some alternative axiological explanations are better than the axiological realist explanation, and that the axiological realist explanation is teleological. Finally, I argue that Putnam’s realist position is more elegant than Lyons’s. (shrink)

Logical empiricism is commonly seen as a counter-position to scientific realism. In the present paper it is shown that there indeed existed a realist faction within the logical empiricist movement. In particular, I shall point out that at least four types of realistic arguments can be distinguished within this faction: Reichenbach’s ‘probabilistic argument,’ Feigl’s ‘pragmatic argument,’ Hempel’s ‘indispensability argument,’ and Kaila’s ‘invariantist argument.’ All these variations of arguments are intended to prevent the logical empiricist agenda from the shortcomings of (...) radical positivism, instrumentalism, and other forms of scientific antirealism. On the whole, it will be seen that logical empiricism and scientific realism are essentially compatible with each other. Especially Kaila’s invariantist approach to science (and nature) comes quite close to what nowadays is discussed under the label ‘structural realism.’ This, in turn, necessitates a fundamental reevaluation of Kaila’s role in the logical empiricist movement in particular and in twentieth-century philosophy of science in general. (shrink)

Upholders of fictionalism about scientific models have not yet successfully explained how scientists can learn about the real world by making comparisons between models and the real phenomena they stand for. In this paper I develop an account of model-world comparisons in terms of what I take to be the best antirealist analyses of comparative claims that emerge from the current debate on fiction.

According to the antirealist argument known as the pessimistic induction, the history of science is a graveyard of dead scientific theories and abandoned theoretical posits. Support for this pessimistic picture of the history of science usually comes from a few case histories, such as the demise of the phlogiston theory and the abandonment of caloric as the substance of heat. In this article, I wish to take a new approach to examining the ‘history of science as a graveyard of (...) theories’ picture. Using JSTOR Data for Research and Springer Exemplar, I present new lines of evidence that are at odds with this pessimistic picture of the history of science. When rigorously tested against the historical record of science, I submit, the pessimistic picture of the history of science as a graveyard of dead theories and abandoned posits may turn out to be no more than a philosophers’ myth. (shrink)

In this article, I argue that arguments from the history of science against scientific realism, like the arguments advanced by P. Kyle Stanford and Peter Vickers, are fallacious. The so-called Old Induction, like Vickers's, and New Induction, like Stanford's, are both guilty of confirmation bias—specifically, of cherry-picking evidence that allegedly challenges scientific realism while ignoring evidence to the contrary. I also show that the historical episodes that Stanford adduces in support of his New Induction are indeterminate between a (...) pessimistic and an optimistic interpretation. For these reasons, these arguments are fallacious, and thus do not pose a serious challenge to scientific realism. (shrink)

ABSTRACTThis essay offers a reconfiguration of the possibility‐space of positions regarding the metaphysics and epistemology associated with historical knowledge. A tradition within analytic philosophy from Danto to Dummett attempts to answer questions about the reality of the past on the basis of two shared assumptions. The first takes individual statements as the relevant unit of semantic and philosophical analysis. The second presumes that variants of realism and antirealism about the past exhaust the metaphysical options . This essay argues that (...) both of these assumptions should be rejected. It develops as an alternative an irrealist account of history, a view based in part on work by Leon Goldstein and Ian Hacking. On an irrealist view, historical claims ought to be treated as subject to the same conditions and caveats that apply to any theory of empirical or scientific knowledge. Irrealism argues for pasts as made and not found. The argument emphasizes the priority of classification over perception in the order of understanding and so verification. Because nothing a priori anchors practices of classification, no sense can be attached to claims that some single structure must or does determine what events take place in human history. Irrealism denies to realism the very intelligibility of any imagined view from nowhere, that is, a determinately configured past subsisting sub specie aeternitatis. A plurality of pasts exists because constituting a past always depends to some degree on socially mediated negotiations of a fit between descriptions and experience. (shrink)

Scientific realism says of our best scientific theories that (1) most of their important posits exist and (2) most of their central claims are approximately true. Antirealists sometimes offer the pessimistic induction in reply: since (1) and (2) are false about past successful theories, they are probably false about our own best theories too. The contemporary debate about this argument has turned (and become stuck) on the question, Do the central terms of successful scientific theories refer? For (...) example, Larry Laudan offers a list of successful theories that employed central terms that failed to refer, and Philip Kitcher replies with a view about reference in which the central terms of such theories did sometimes refer. This article attempts to break this stalemate by proposing a direct version of the pessimistic induction, one that makes no explicit appeal to a substantive notion or theory of reference. While it is premature to say that this argument succeeds in showing that realism is probably false, the direct pessimistic induction is not subject to any kind of reference-based objection that might cripple a weaker, indirect version of the argument. Any attempt to trounce the direct pessimistic induction with a theory of reference fails. (shrink)

Conventional scientific realism is just the doctrine that our theoretical terms refer. Conventional antirealism denies, for various reasons, theoretical reference and takes theory to give us only information about the word of the perceptual where reference, it would appear, is secure. But reference fails for the perceptual every bit as much for the perceptual as for the theoretical, and for the same reason: the world is too complicated for us to succeed in attaching specific referents to our terms. (...) That would appear to leave us with a kind of latter day, representational idealism: All we have are representations. I argue that our representations tell us about an independent world without securing reference by showing that the world is very like the way it is represented in a range of different, often complementary modeling schemes. Though never exact, these representations are of something extra-representational because they present the world modally as going beyond what is represented explicitly. (shrink)

A new trend in the philosophical literature on scientific explanation is that of starting from a case that has been somehow identified as an explanation and then proceed to bringing to light its characteristic features and to constructing an account for the type of explanation it exemplifies. A type of this approach to thinking about explanation – the piecemeal approach, as I will call it – is used, among others, by Lange (2013) and Pincock (2015) in the context of (...) their treatment of the problem of mathematical explanations of physical phenomena. This problem is of central importance in two different recent philosophical disputes: the dispute about the existence on non-causal scientific explanations and the dispute between realists and antirealists in the philosophy of mathematics. My aim in this paper is twofold. I will first argue that Lange (2013) and Pincock (2015) fail to make a significant contribution to these disputes. They fail to contribute to the dispute in the philosophy of mathematics because, in this context, their approach can be seen as question begging. They also fail to contribute to the dispute in the general philosophy of science because, as I will argue, there are important problems with the cases discussed by Lange and Pincock. I will then argue that the source of the problems with these two papers has to do with the fact that the piecemeal approach used to account for mathematical explanation is problematic. (shrink)

P. Kyle Stanford formulated his New Induction over the History of Science in order to show that underdetermination of scientific theories by evidence is a genuine problem of scientific theorizing about the world and a one that all scientific realists should take seriously. His argument uses historical record to show that because successful theories of the past were typically, in the light of the then available evidence, underdetermined by theories which we could not at the time conceive, (...) we should expect that our best contemporary theories are also undetermined by some yet unconceived alternatives. The aim of this article is to show that the threat of New Induction is ultimately no different than the threat of classical Pessimistic Induction in the way that to give a successful response to the later on behalf of scientific realism is, at the same time, to give a successful response to the former. I point out to some recent realistic responses to Pessimistic Induction to show that there are now viable realist positions, which allow one to embrace Pessimistic Induction as to whole theories and still remain realistic about certain parts of our theoretical knowledge of the unobservable. I argue that since historical record gives us inductive rationale for expecting that certain parts of our best theories will be preserved in future theories, we can also rationally expect that those parts are not underdetermined by yet unconceived future alternatives, and hence New Induction poses no threat to some new forms of scientific realism. (shrink)

I offer an explicit account of the underdetermination thesis as well as of the many challenges it poses to scientific realism; a way to answer to these challenges is explored and outlined, by shifting attention to the content of theories. I argue that, even if we have solid grounds (as I contend we do) to support that some varieties of the underdetermination thesis are true, scientific realism can still offer an adequate picture of the aims and achievements of (...) science. (shrink)

The scientific successes of the last 400 years strongly suggest a picture on which our scientific theories exhibit a layered structure of dependence and determination. Economics is dependent on and determined by psychology; psychology in its turn is, plausibly, dependent on and determined by biology; and so it goes. It is tempting to explain this layered structure of dependence and determination among our theories by appeal to a corresponding layered structure of dependence and determination among the entities putatively (...) treated by those theories. In this paper, I argue that we can resist this temptation: we can explain the sense in which, e.g., the biological truths are dependent on and determined by chemical truths without appealing to properly biological or chemical entities. This opens the door to a view on which, though there are more truths than just the purely physical truths, there are no entities, states, or properties other than the purely physical entities, states, and properties. I argue that some familiar strategies to explicate the idea of a layered structure of theories by appeal to reduction, ground, and truthmaking encounter difficulties. I then show how these difficulties point the way to a more satisfactory treatment which appeals to something very close to the notion of ground. Finally, I show how this treatment provides a theoretical setting in which we might fruitfully frame debates about which entities there really are. (shrink)

Realism and surrealism claim, respectively, that a scientific theory is successful because it is true, and because the world operates as if it is true. Lyons :891–901, 2003) criticizes realism and argues that surrealism is superior to realism. I reply that Lyons’s criticisms against realism fail. I also attempt to establish the following two claims: Realism and surrealism lead to a useful prescription and a useless prescription, respectively, on how to make an unsuccessful theory successful. Realism and surrealism give (...) the credit for the success of a theory to an appropriate factor and to an inappropriate factor, respectively. Finally, I point out that surrealism is vulnerable to my pessimistic induction :3–21, 2014a) against antirealism. (shrink)