scholarly journals El contenido empírico del realismo científico

Author(s):  
Valeriano Iranzo

RESUMENUna forma común de entender el realismo científico (RC) en las últimas décadas ha sido plantearlo como una inferencia explicativa: RC es la mejor explicación del éxito predictivo-instrumental de la ciencia. Algunos de sus partidarios mantienen, además que es una hipótesis empíricamente constrastable. Intentaré argumentar, que, entendido así, RC no es empíricamente contrastable. En primer lugar, aunque el éxito predictivo-instrumental initerrumpido de una teoría T es una consecuencia observacional de la verdad de T, este hecho no hecho no constituye una evidencia empírica diferente del propio "explanandum". En segundo lugar, elaorar un registro histórico del éxito -no sólo empírico, sino teórico- obtenido mediante la postulación de entidades por consideraciones explicativas, confirmaría como mucho, y eso suponiendo que fuera posible, una cocincidencia entre una metodología determinada y unos resultados, pero no daría cuenta del vínculo explicativo entre éxito predictivo instrumental por un lado, y verdad y existencia, por otro. Por consiguiente, RC no es una hipótesis empírica en un sentido genuino; a fortiori, tampoco es una hipótesis científica. Esta conclusión, no obstante, no cierra el camino a un realismo científico de carácter local.PALABRAS CLAVEREALISMO CIENTÍFICO, OBSERVACIÓN, TEORÍA, INFERENCIA A LA MEJOR EXPLICACIÓNABSTRACTA common way of understanding scientific realism (SR) during the latest decades says that SR is the best explanation of the predictive success enjoyed by scientific theories. Some os this advocates claim, aslo, that SR is an empirically testable hypothesis. I will try to argue that, as an explanation of predictive sucess, SR is not empirically testable. Firstly, even though the uninterrupted preditive success of T is an observational consequence of T´s truth, this fact is not a kind of evidence distinguishable from the very explanandum. Secondly, a historical record of success obtained by postulating theoretical emities would confirm, at most, a correlation between some methodological norms and some particular results. But confirming such correlation is not the same as vindicating an explanotory link between truth and existence (the explanans), and predictive success (the explanandum). In sum, SR is not a genuine empirical hypothesis; a fortiori, it is neither a scientific hypothesis. Anyway, this conclusion does not forbid some kind of "local" scientific realism.KEYWORDSSCIENTIFIC REALISM, OBSERVATION, THEORY, INFERENCE TO THE BEST EXPLANATION

Author(s):  
P. Kyle Stanford

Most commonly, the scientific realism debate is seen as dividing those who do and do not think that the striking empirical and practical successes of at least our best scientific theories indicate with high probability that those theories are ‘approximately true’. But I want to suggest that this characterization of the debate has far outlived its usefulness. Not only does it obscure the central differences between two profoundly different types of contemporary scientific realist, but even more importantly it serves to disguise the most substantial points of actual disagreement between these two kinds of realists and those who instead think the historical record of scientific inquiry itself reveals that such realism is untenable in either form.


Author(s):  
Curtis Forbes

The debate over scientific realism, simply put, is a debate over what we can and should believe about reality once we've critically assessed all the available arguments and empirical evidence. Thinking earnestly about the merits of scientific realism as a philosophical thesis requires navigating contentious historiographical issues, being familiar with the technical details of various scientific theories, and addressing disparate philosophical problems spanning aesthetics, metaphysics, epistemology, and beyond. This issue of Spontaneous Generations: A Journal for the History and Philosophy of Science aims to make participating in the scientific realism debate easier for both newcomers and veterans, collecting over twenty invited and peer-reviewed papers under the title "The Future of the Scientific Realism Debate: Contemporary Issues Concerning Scientific Realism."


2016 ◽  
Vol 24 (1) ◽  
pp. 72-81 ◽  
Author(s):  
Seungbae Park

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.


Author(s):  
Evelyn Fernandes Erickson

A recent logical anti-exceptionalist trend proposes that logical theories are revisable in the same manner as scientific theories, either on grounds of the method of theory selection or on what counts as evidence for this revision. Given this approximation of logic and science, the present essay analyzes the commitments of both these varieties and argues that, as it currently stands, this kind of anti-exceptionalism is committed to scientific realism, that is, to realism about some unobservable entities evoked in logical theories. The essay argues that anti-exceptionalism cannot be separated into metaphysical and epistemological varieties, and proposed rather to label anti-exceptionalists views either broadly in terms of theory revision, or narrowly in terms of logic’s affinity with science.


2021 ◽  
pp. 70-98
Author(s):  
Stathis Psillos

This chapter looks into the transition from the Cartesian natural philosophy to the Newtonian one, and then to the Einsteinian science, making the following key point: though the shift from Descartes’s theory to Newton’s amounted to a wholesale rejection of Descartes’s theory, in the second shift, a great deal was retained; Newton’s theory of universal gravitation gave rise to a research program that informed and constrained Einstein’s theory. Newton’s theory was a lot more supported by the evidence than Descartes’s and this made it imperative for the successor theory to accommodate within it as much as possible of Newton’s theory: evidence for Newton’s theory became evidence for Einstein’s. This double case study motivates a rebranding of the “divide et impera” strategy against the pessimistic induction introduced in the book Scientific Realism, which shifts attention from the (crude) evidence of the history of science to the (refined) history of evidence for scientific theories.


Author(s):  
David Wallace

This chapter briefly discusses central key topics in the philosophy of science that the remainder of the book draws upon. It begins by considering the scientific method. ‘Induction’—the idea that we construct scientific theories just by generalizing from observations—is a very poor match to real science. ‘Falsification’—Popper’s idea that we create a theory, test against observation, and discard it if it fails the test—is much more realistic, but still too simple: data only falsifies data given auxiliary assumptions that can themselves be doubted. The issues are illustrated through an example from modern astrophysics: dark matter. The chapter then explores how we can resolve issues of underdetermination, where two theories give the same predictions. Finally, it introduces ‘scientific realism’, the view that our best theories tell us things about the world that go beyond what is directly observable.


Author(s):  
Arthur Fine

Traditionally, scientific realism asserts that the objects of scientific knowledge exist independently of the minds or acts of scientists and that scientific theories are true of that objective (mind-independent) world. The reference to knowledge points to the dual character of scientific realism. On the one hand it is a metaphysical (specifically, an ontological) doctrine, claiming the independent existence of certain entities. On the other hand it is an epistemological doctrine asserting that we can know what individuals exist and that we can find out the truth of the theories or laws that govern them. Opposed to scientific realism (hereafter just ‘realism’) are a variety of antirealisms, including phenomenalism and empiricism. Recently two others, instrumentalism and constructivism, have posed special challenges to realism. Instrumentalism regards the objects of knowledge pragmatically, as tools for various human purposes, and so takes reliability (or empirical adequacy) rather than truth as scientifically central. A version of this, fictionalism, contests the existence of many of the objects favoured by the realist and regards them as merely expedient means to useful ends. Constructivism maintains that scientific knowledge is socially constituted, that ‘facts’ are made by us. Thus it challenges the objectivity of knowledge, as the realist understands objectivity, and the independent existence that realism is after. Conventionalism, holding that the truths of science ultimately rest on man-made conventions, is allied to constructivism. Realism and antirealism propose competing interpretations of science as a whole. They even differ over what requires explanation, with realism demanding that more be explained and antirealism less.


Philosophy ◽  
2017 ◽  
Vol 92 (3) ◽  
pp. 351-367 ◽  
Author(s):  
Suki Finn

AbstractScientific realism holds that the terms in our scientific theories refer and that we should believe in their existence. This presupposes a certain understanding of quantification, namely that it is ontologically committing, which I challenge in this paper. I argue that the ontological loading of the quantifiers is smuggled in through restricting the domains of quantification, without which it is clear to see that quantifiers are ontologically neutral. Once we remove domain restrictions, domains of quantification can include non-existent things, as they do in scientific theorizing. Scientific realism would therefore require redefining without presupposing a view of ontologically committing quantification.


2019 ◽  
Vol 17 (4) ◽  
pp. 214-220
Author(s):  
Nikita V. Golovko

Selective skepticism in relation to fundamental scientific theories and criticism of the inference to the best explanation as an eliminative approach to substantiate hypotheses, enable K. Stanford to interpret and combine in his own way the classical arguments against the scientific realism – the arguments of the pessimistic meta-induction and that of the underdetermination of theory by data. Despite the fact that his justification of the instrumentalist interpretation of scientific knowledge is just another version of the argument «from error», K. Stanford’s book should be recommended to a scientific realism could be. Reflection on the book: Stanford K. Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives. Oxford University Press, 2006.


Author(s):  
Heikki Patomäki

This chapter addresses scientific realism. After the heyday of empiricism in the interwar period and its immediate aftermath, many critical reactions to empiricism seemed to suggest scientific realism. It was widely agreed that scientific theories make references to things that cannot be directly observed (or at least seen), and thus emerged the issue of the status of non-observables. As scientific realism became increasingly dominant, new philosophical stances such as Bas C. van Fraassen’s constructive empiricism were often defined in opposition to it. Van Fraassen understands scientific realism as a claim that science aims to give us, in its theories, a literally true story of what the world is like; and acceptance of a scientific theory involves the belief that it is true. More in line with established forms of scientific realism, Ilkka Niiniluoto talks about verisimilitude, or truth-likeness. This concept is supposed to avoid the consequences of claiming to have access to the truth itself. The chapter then considers how the social sciences seem to pose difficulties for scientific realism.


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