Gerald Doppelt claims that Deployment Realism cannot withstand the antirealist objections based on the “pessimistic meta-induction” and Laudan’s historical counterexamples. Moreover it is incomplete, as it purports to explain the predictive success of theories, but overlooks the necessity to explain also their explanatory success. Accordingly, he proposes a new version of realism, presented as the best explanation of both predictive and explanatory success, and committed only to the truth of best current theories, not of the discarded ones. Elsewhere I criticized (...) his new brand of realism. Here instead I argue that Doppelt has not shown that Deployment Realism cannot solve the problems raised by the history of science, explaining explanatory success does not add much to explaining novel predictive success, and Doppelt is right that truth is not a sufficient explanans, but for different reasons, and this does not refute Deployment Realism, but helps to detail it better. In a more explicit formulation, the realist IBE concludes not only to the truth of theories, but also to the reliability of scientists and scientific method, the order and simplicity of nature, and the approximate truth of background theories. (shrink)

In contemporary philosophy of science, the no-miracles argument and the pessimistic induction are regarded as the strongest arguments for and against scientific realism, respectively. In this paper, I construct a new argument for scientific realism which I call the anti-induction for scientific realism. It holds that, since past theories were false, present theories are true. I provide an example from the history of science to show that anti-inductions sometimes work in science. The anti-induction for scientific realism has several advantages over (...) the no-miracles argument as a positive argument for scientific realism. (shrink)

Scientific realists argue that present theories are more successful than past theories, so present theories will not be superseded by alternatives, even though past theories were superseded by alternatives. Alai (2016) objects that although present theories are more successful than past theories, they will be replaced by future theories, just as past theories were replaced by present theories. He contends, however, that past theories were partly true, and that present theories are largely true. I argue that Alai’s discrimination between past (...) and present theories is subject to his own criticism against realists’ discriminations between past and present theories, and also subject to other criticisms that philosophers have raised against scientific realism and pessimism. (shrink)

Evolutionary theory coheres with its neighboring theories, such as the theory of plate tectonics, molecular biology, electromagnetic theory, and the germ theory of disease. These neighboring theories were previously unconceived, but they were later conceived, and then they cohered with evolutionary theory. Since evolutionary theory has been strengthened by its several neighboring theories that were previously unconceived, it will be strengthened by infinitely many hitherto unconceived neighboring theories. This argument for evolutionary theory echoes the problem of unconceived alternatives. Ironically, however, (...) the former recommends that we take the realist attitude toward evolutionary theory, while the latter recommends that we take the antirealist attitude toward it. (shrink)

Lyons (2016, 2017, 2018) formulates Laudan’s (1981) historical objection to scientific realism as a modus tollens. I present a better formulation of Laudan’s objection, and then argue that Lyons’s formulation is supererogatory. Lyons rejects scientific realism (Putnam, 1975) on the grounds that some successful past theories were (completely) false. I reply that scientific realism is not the categorical hypothesis that all successful scientific theories are (approximately) true, but rather the statistical hypothesis that most successful scientific theories are (approximately) true. Lyons (...) rejects selectivism (Kitcher, 1993; Psillos, 1999) on the grounds that some working assumptions were (completely) false in the history of science. I reply that selectivists would say not that all working assumptions are (approximately) true, but rather that most working assumptions are (approximately) true. (shrink)

L.A. Paul has recently defended the methodology of metaphysics on the grounds that it is continuous with the sciences. She claims that both scientists and metaphysicians use inference to the best explanation to choose between competing theories, and that the success of science vindicates the use of IBE in metaphysics. Specifically, the success of science shows that the theoretical virtues are truth-conducive. I challenge Paul’s claims on two grounds. First, I argue that, at least in biology, scientists adhere to the (...) vera causa ideal, which allows the theoretical virtues to play a much more limited role in scientific reasoning than Paul requires for metaphysical reasoning. The success of biology thus does not vindicate the methodology of metaphysics. Second, I argue that, at least in many cases, the successful reliance on the theoretical virtues in scientific contexts shows only that the theoretical virtues are truth-conducive within those local contexts, and not that they are truth-conducive generally. The upshots are that Paul’s defense of the methodology of metaphysics fails, and that any attempt to rescue her defense must pay more careful attention to what precisely is vindicated by successful science. (shrink)

As a discipline of its own, the philosophy of science can be traced back to the founding of its academic journals, some of which go back to the first half of the twentieth century. While the discipline has been the object of many historical studies, notably focusing on specific schools or major figures of the field, little work has focused on the journals themselves. Here, we investigate contemporary philosophy of science by means of computational text-mining approaches: we apply topic-modeling algorithms (...) to eight major philosophy of science journals, from the 1930s up until 2017. Based on the full-text content of some 15,897 articles, we identified 25 research themes and 8 thematic clusters that show how the research agenda of the philosophy of science has changed in its content over the course of the last eight decades, up to the philosophy of science we now know. We also show how each one of the journals contributed in its own way to this thematic evolution. (shrink)

In this essay, I critically evaluate the approaches to explaining the success of science in Kuhn and the works of inference-to-the-best-explanation scientific realists. Kuhn ’s challenge to realists, who invoke the truth of theories to explain their success, is two-fold. His paradigm-account of success confronts realists with the problem of theory change, and the historical fact of successful theories later rejected as false. Secondly, Kuhn ’s account of the success of science has no need to bring truth into the explanation. (...) In turn, I argue that weakness in Kuhn and the prevailing forms of scientific realism motivate a better account of realism which I characterize as ‘best current theory realism’ and defend against the pessimistic meta-induction and the problem of theory-change. This realism argues that the best explanation of the success of current and past scientific theories only requires the simple claim that our best current theories are true. Kuhn ’s account can explain how normal science succeeds but cannot account for why its problem solutions work where they do and why they fail for other puzzles. (shrink)

According to selective, retentive, scientific realism, past empirical success may be explained only by the parts of past theories that are responsible of their successful predictions being approximately true, and thus theoretically retained, or approximated, by the parts of posterior theories responsible of the same successful predictions. In this article, we present as case study the transit from Ptolemy’s to Kepler’s astronomy, and their successful predictions for Mars’ orbit. We present an account of Ptolemy’s successful prediction of Mars’ orbit from (...) Kepler’s perspective, and scrutinize whether the theoretical elements responsible for Ptolemy’s empirical success are approximately retained in Kepler. In order to give to the realist the best chances, we try different strategies. We conclude that all fail and thereby this case constitutes a prima facie strong anomaly for selective retentive realism. Structural realists may call preservation of structure to the rescue, but the existing notions of structure do not work. In absence of a new notion that works, the burden of the proof lies on the realist side. (shrink)

The no-miracles argument is the main inference-to-the-best-explanation kind of argument for scientific realism, and the pessimistic induction is considered a main, if not the main, challenge for a NMA-based scientific realism. Doppelt advocates a new kind of inference-to-the-best-explanation supported scientific realism that he labels Best Theory Realism. If successful in replacing standard selective realism as the best version of scientific realism, BTR would be particularly good since it is not committed to the partial truth of past theories and thereby it (...) is immune to the antirealist strategy of finding cases of past, predictively successful theories with predictively essential components not retained by later theories. The goal of this paper is to raise doubts about Doppelt’s attempt and argue that, other benefits of his proposal notwithstanding, it fails. In section 1 I summarize the main tenets of standard, retentive selective realism relevant for the present discussion. In section 2 I show that Doppelt’s main arguments against retentive selective realism do not work. In section 3, I argue that the way BTR faces the challenge posed by the historical record that motivates PI is unsatisfactory and puts Doppelt into a fatal trilemma: either he is committed to two claims that are untenable together; or endorses an extremely implausible form of present-science chauvinism; or unjustifiably discriminates explanation against prediction in historical record. The conclusion is that BTR falls short of substituting standard retentive selective realism as the most plausible realist position, and that thereby the cases of past successful theories with predictively essential parts not retained by posterior theories are still a real problem for a plausible realist position. (shrink)

Ważnym elementem współczesnej dyskusji pomiędzy realizmem i antyrealizmem naukowym jest próba nadania realistycznej interpretacji historycznemu faktowi zmiany teorii w nauce. Fakt ten według L. Laudana podważa nie tylko najważniejszy argument na rzecz realizmu naukowego, ale i najważniejsze tezy tego stanowiska. Argumentem kwestionowanym przez Laudana jest twierdzenie H. Putnama, że ogromny sukces nauki w przewidywaniu zjawisk i rozwijaniu nowych technologii świadczy przynajmniej o aproksymacyjnej prawdziwości teorii naukowych. Laudan wykazuje jednak fakty z historii nauki, gdy odnoszące sukces teorie okazywały się z biegiem (...) czasu fałszywe. Powiązany z tym argument przeciwko realizmowi, zwany pesymistyczną indukcją (PI), głosi, iż skoro przeszłe teorie, które odniosły sukces, okazywały się fałszywe z perspektywy nowszych, to także obecne odnoszące sukces teorie mogą okazać się w przyszłości fałszywe. Podważa to tezę odnośnie związku sukcesu teorii z jej aproksymacyjną prawdziwością. Ważnym wyzwaniem dla realizmu naukowego staje się zatem uzgodnienie jego tez z faktem zmiany teorii w nauce. Najbardziej znaczących rozwiązań tego problemu dostarcza realizm strukturalny zaproponowany przez J. Worralla i semirealizm A. Chakrawarttiego. Oba stanowiska przyjmują tę samą strategię obrony realizmu, zwaną divide et impera, uznającą, że nie całe teorie, lecz tylko ich fragmenty bezpośrednio związane z sukcesem spełniają tezy realizmu. Realizm naukowy w tych sformułowaniach zostaje w znacznym stopniu ograniczony i osłabiony. Celem artykułu jest przedstawienie tych rozwiązań i pokazanie z jednej strony realistycznych odpowiedzi na argument PI, jakich dostarczają te stanowiska, z drugiej ograniczeń, jakie z nich wynikają dla realizmu naukowego. Osłabiona wersja realizmu, jaką one proponują, również nie jest wolna od istotnych trudności, na jakie musi odpowiedzieć zarówno realizm strukturalny, jak i semirealizm. Identyfikacja tych trudności może stanowić wskazówkę dla dalszego rozwoju stanowiska realistycznego. (shrink)

This dissertation is about human knowledge of reality. In particular, it argues that scientific knowledge is bounded by historically available instruments and theories; nevertheless, the use of several independent instruments and theories can provide access to the persistent potentialities of reality. The replicability of scientific observations and experiments allows us to obtain explorable evidence of robust entities and properties. The dissertation includes seven chapters. It also studies three cases – namely, Higgs bosons and hypothetical Ϝ-particles (section 2.4), the Ptolemaic and (...) Kepler model of the planets (section 6.7), and the special theory of relativity (chapter 7). -/- Chapter 1 is the introduction of the dissertation. Chapter 2 clarifies the notion of the real on the basis of two concepts: persistence and resistance. These concepts enable me to explain my ontological belief in the real potentialities of human-independent things and the implications of this view for the perceptual and epistemological levels of discussion. On the basis of the concept of “overlapping perspectives”, chapter 3 argues that entity realism and perspectivism are complementary. That is, an entity that manifests itself through several experimental/observational methods is something real, but our knowledge of its nature is perspectival. Critically studying the recent views of entity realism, chapter 4 extends the discussion of entity realism and provides a criterion for the reality of property tokens. Chapter 5, in contrast, develops the perspectival aspects of my view on the basis of the phenomenological-hermeneutical approaches to the philosophy of science. This chapter also elaborates my view of empirical evidence, as briefly expressed in sections 2.5 and 4.5. Chapter 6 concerns diachronic theoretical perspectives. It first explains my view of progress, according to which current perspectives are broader than past ones. Second, it argues that the successful explanations and predictions of abandoned theories can be accounted for from our currently acceptable perspectives. The case study of Ptolemaic astronomy supports the argument of this chapter. Chapter 7 serves as the conclusion of the dissertation by applying the central themes of the previous chapters to the case study of special relativity theory. I interpret frame-dependent properties, such as length and time duration, and the constancy of the speed of light according to realist perspectivism. (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)