Despite its potential implications for the objectivity of scientific knowledge, the claim that “scientific instruments are perspectival” has received little critical attention. I show that this claim is best understood as highlighting the dependence of instruments on different perspectives. When closely analyzed, instead of constituting a novel epistemic challenge, this dependence can be exploited to mount novel strategies for resolving two old epistemic problems: conceptual relativism and theory-ladeness. The novel content of this article consists in articulating and developing these strategies (...) by introducing two fine-grained notions of perspectives as the key units of analysis: “broad perspectives” and “narrow perspectives.”. (shrink)

The terms “perspectivism” and “perspectivalism” have been the focus of an intense philosophical discussion with important repercussions for the debate about the role of mechanisms in scientific explanations. However, leading exponents of the new mechanistic philosophy have conceded more than was necessary to the radically subjectivistic perspectivalism, and fell into the opposite error, by retaining not negligible residues of objectivistic views about mechanisms. In order to remove this vacillation between the subjective-cultural and the objective-natural sides of mechanisms, we shall raise (...) the question about theory-ladenness over again and interpret it in its connection with the technical–experimental nature of scientific knowledge, as affirming the perspectival character of scientific knowledge: It is because of the character at once theory-laden and practice-laden, i.e. technique-laden, of our putting questions to nature that empirical reality must be investigated from particular perspectives: nature can be known scientifically only from a potentially infinite number of perspectives or theoretical points of view, concretely exemplified by mechanisms or experimental ‘machines’ that allow specific access to specific aspects of sensible reality. (shrink)

Abstract: The aim of this paper is to analyse and criticize the argument of the experimenters' regress proposed by Harry Collins in 1985. In order to do that, I begin with an introduction to the experiments that aimed to detect gravity waves performed by Joseph Weber during 1970, then I analyse and discuss both forms of the argument: the epistemological and the ontological. Finally, after giving an outline of a theory of experimental reproduction and an explication of the concept of (...) replication, I propose two ways of avoiding the experimenters' regress. (shrink)

There are a variety of topics in the philosophy of science that need to be rethought, in varying degrees, after one pays careful attention to the ways in which computer simulations are used in the sciences. There are a number of conceptual issues internal to the practice of computer simulation that can benefit from the attention of philosophers. This essay surveys some of the recent literature on simulation from the perspective of the philosophy of science and argues that philosophers have (...) a lot to learn by paying closer attention to the practice of simulation. (shrink)

This article seeks rapprochement between the sociology of knowledge and philosophy of science by attempting to capture the best social constructionist insights within a strongly realistic philosophy of science. Key to doing so are separating the grounds for the individual scientist coming to know that P from those grounds for socially credentialing the claim that P within the relevant scientific subcommunity and showing how truth considerations can enter into the analysis of knowledge without interfering with social constructionist treatments of credentialing (...) claims. A detailed epistemology and associated account of the social credentialing of knowledge claims are presented. Close attention is paid to the epistemological and social aspects of the nature and role of observation reports, the interpretation of data, simplifications, idealizations, and approximations, and the nature of replication. The article contains a National Aeronautics and Space Administration remote-sensing case study and a detailed analysis of replication in the 1881–1933 Michelson-Morley-Miller interferometer ether studies. (shrink)

Thought experiments are one among the oldest and effectively employed tools of scientific reasoning. Hacking (Philos Sci 2:302–308, 1992) argues that thought experiments in contrast to real experiments do not have a life of their own. In this paper, I attempt to show that contrary to Hacking’s contentions, thought experiments do have a life of their own. The paper is divided into three main sections. In the first section, I review the reasons that Hacking sets out for believing in the (...) life of experiments. Second section discusses Hacking’s characterization of thought experiments. The section also reviews his arguments for denying a life to thought experiments. In the third section, I argue for a life of thought experiments. In this section, I discuss the historical evolution of the EPR thought experiment and Galileo’s Free Falling Bodies in detail to show the untenability of Hacking’s arguments. The third section is followed by a conclusion that thought experiments do have a life of their own. (shrink)

Scientists and philosophers generally agree that the replication of experiments is a key ingredient of good and successful scientific practice. “One-offs“ are not significant; experiments must be replicable to be considered valid and important. But the term “replication“ has been used in a number of ways, and it is therefore quite difficult to appraise the meaning and significance of replications. I consider how history may help - and has helped - with this task. I propose that: 1) Studies of past (...) scientific episodes in historical context and of recent philosophical contributions to the discussion are heuristic tools for exploring and clarifying the meaning of that concept. 2) The analysis of the development of the methodological imperative of replication sheds light on the significance scientists have attached to it, thereby contributing further to the clarification of the concept. 3) The analysis of the history of philosophical thought about methods and scientific methodology helps understand why philosophers have not paid much attention to the analysis of the concept of replication. (shrink)

In recent years there has been a revival of the debate about the relation between history and philosophy of science. This article seeks to contribute to the discussion by approaching the issue from a new angle. To rethink the relation between the two domains of study, I apply an important insight about scientific practice to the practice of integrating the history and philosophy of science: the insight that the scientific paper does not give a faithful account of the actual research (...) pursued in the laboratory or in the field. Arguably, the scholarly article about science is also not a transparent window to the activity of producing such an article. But if it is not, we need to redirect our attention. If we want to understand the nature and merits of integrating the history and philosophy of science, we need to examine both the actual activity of integrating and the scholarly paper produced by it. To consider what one can learn from such an inquiry, I reflect on my own activity of studying scientific justification through the combination of historical and philosophical analysis. Probing a concrete historical episode, micro-anatomical research on the retina in the 19th century, I pursue two related questions, the first-order question, 'What exactly is scientific justification in the given case?' and the meta-question, 'How do I go about analysing justificatory practices?' I then characterise the nature of my analysis and consider what can be learned from the study of the practice of integrating the history and philosophy of science. (shrink)

Ever since Hilary Putnam claimed that a realist philosophy is “the only philosophy that doesn’t make the success of science a miracle,” explanations for the success of science have proliferated in the philosophical literature (Putnam 1975, p. 73). Realists argue that the success of science, as exhibited by our ability to accurately predict and explain a wide range of phenomena, indicates that our theories have identified some of the underlying causal structures of the world (e.g., Boyd 1985, Ellis 1985, McMullin (...) 1984, Salmon 1984). Nonrealists counter that success cannot provide a warrant for belief in the truth of scientific theories because there have been successful theories in the past that are now believed to be false (Laudan 1981b). Instead, they offer a naturalized account whereby our theories are designed to be successful predictors and only those which fulfill this goal survive (Laudan 1987, van Fraassen, 1980). (shrink)

: Bayesians and error statisticians have relied heavily upon examples from physics in developing their accounts of scientific inference. The present essay demonstrates it is possible to analyze H.B.D. Kettlewell's classic study of natural selection from Deborah Mayo's error statistical point of view (Mayo 1996). A comparison with a previous analysis of this episode from a Bayesian perspective (Rudge 1998) reveals that the error statistical account makes better sense of investigations such as Kettlewell's because it clarifies how core elements in (...) the design of experiments are used to minimize erroneous inferences rather than dwelling on whether the strategies used are reasonable. (shrink)

: Most work done in philosophy of experiment has focused on experiments taken from the domain of physics. The present essay tests whether Allan Franklin's (1984, 1986, 1989, 1990) philosophy of experiment developed in the context of high energy physics can be extended to include examples from evolutionary biology, such as H. B. D. Kettlewell's (1955, 1956, 1958) famous studies of industrial melanism in the peppered moth, Biston betularia. The analysis demonstrates that many of the techniques used by evolutionary biologists (...) exemplify the strategies Franklin lists, and identifies an additional strategy that can likewise be justified by appeal to Bayes's Theorem. (shrink)

Allan Franklin has identified a number of strategies that scientists use to build confidence in experimental results. This paper shows that Franklin's strategies have direct analogues in the context of computer simulation and then suggests that one of his strategies—the so-called 'Sherlock Holmes' strategy—deserves a privileged place within the epistemologies of experiment and simulation. In particular, it is argued that while the successful application of even several of Franklin's other strategies (or their analogues in simulation) may not be sufficient for (...) justified belief in results, the successful application of a slightly elaborated version of the Sherlock Holmes strategy is sufficient. (shrink)

ABSTRACTExperimentation is traditionally considered a privileged means of confirmation. However, why and how experiments form a better confirmatory source relative to other strategies is unclear, and recent discussions have identified experiments with various modeling strategies on the one hand, and with ‘natural’ experiments on the other hand. We argue that experiments aiming to test theories are best understood as controlled investigations of specimens. ‘Control’ involves repeated, fine-grained causal manipulation of focal properties. This capacity generates rich knowledge of the object investigated. (...) ‘Specimenhood’ involves possessing relevant properties given the investigative target and the hypothesis in question. Specimens are thus representative members of a class of systems, to which a hypothesis refers. It is in virtue of both control and specimenhood that experiments provide powerful confirmatory evidence. This explains the distinctive power of experiments: although modelers exert extensive control, they do not exert this control over specimens; although natural experiments utilize specimens, control is diminished. (shrink)

In 1905 two different microbes were proposed to fill the vacant role of etiologic agent for syphilis, one, the Cytorrhyctes luis, by John Siegel, the other, Spirochaeta pallida, by Fritz Schaudinn. After gathering and reviewing the evidence the majority of medical scientists decided in favor of Schaudinn’s candidate. In a previous issue Jean Lindenmann challenged Ludwik Fleck’s suggestion that under suitable social conditions Siegel’s candidate could just as well have won acceptance by the scientific community . To refute this counterfactual (...) thesis, Lindenmann presented an asymmetric account of the dispute over the etiology of syphilis. He adopted the view of the proponents that Schaudinn’s spirochete had already been there in syphilitic lesions for centuries, only awaiting the discovery of an appropriate staining technique to be revealed. Here a more symmetric analysis of the episode will be attempted, paying serious attention to the arguments put forward by the spirochete’s opponents, who expatiated on the many possibilities of inadvertently creating artifacts through microscopic preparation and staining. The symmetric account that is presented in this rejoinder thus aims to trace the simultaneous construction of facts and artifacts. It will not, however, resurrect Fleck’s counterfactual thesis. (shrink)

The last two decades have seen a rising interest in (a) the notion of a scientific phenomenon as distinct from theories and data, and (b) the intricacies of experimentally producing and stabilizing phenomena. This paper develops an analysis of the stabilization of phenomena that integrates two aspects that have largely been treated separately in the literature: one concerns the skills required for empirical work; the other concerns the strategies by which claims about phenomena are validated. I argue that in order (...) to make sense of the process of stabilization, we need to distinguish between two types of phenomena: phenomena as patterns in the data ( surface regularities ) and phenomena as underlying (or hidden ) regularities. I show that the epistemic relationships that data bear to each of these types of phenomena are different: Data patterns are instantiated by individual data, whereas underlying regularities are indicated by individual data, insofar as they instantiate a data pattern. Drawing on an example from memory research, I argue that neither of these two kinds of phenomenon can be stabilized in isolation. I conclude that what is stabilized when phenomena are stabilized is the fit between surface regularities and hidden regularities. (shrink)

In this article, I explore the value of philosophy of science for history of science. I start by introducing a distinction between two ways of integrating history and philosophy of science: historical philosophy of science and philosophical history of science. I then offer a critical discussion of Imre Lakatos’s project to bring philosophy of science to bear on historical interpretation. I point out certain flaws in Lakatos’s project, which I consider indicative of what went wrong with PHS in the past. (...) Finally, I put forward my own attempt to bring out the historiographical potential of philosophy of science. Starting from Norwood Russell Hanson’s insight that historical studies of science involve metascientific concepts, I argue that philosophical reflection on those concepts can be historiographically fruitful. I focus on four issues and discuss their significance and utility for historiographical practice. (shrink)

In this chapter I investigate the prospects of integrated history and philosophy of science, by examining how philosophical issues raised by “hidden entities”, entities that are not accessible to unmediated observation, can enrich the historical investigation of their careers. Conversely, I suggest that the history of those entities has important lessons to teach to the philosophy of science. Hidden entities have played a crucial role in the development of the natural sciences. Despite their centrality to past scientific practice, however, several (...) of them (e.g., phlogiston, caloric, and the ether) turned out to be fictitious. For this reason, they have figured prominently in recent debates on scientific realism. The issues I explore in this paper are entangled with those debates. I argue that our understanding of hidden entities and their role in experimental practice can be enhanced by adopting an integrated historical-cum-philosophical approach. On the one hand, philosophical reflection on the reality of those entities has a lot to gain by examining historically how they were ntroduced and investigated. On the other hand, the historical reconstruction of the careers of those entities may profit from philosophical reflection on their existence. (shrink)

The past quarter century has seen an enormous growth of interest among scholars of science and technology in both particular experimental episodes and the process of experimentation. Among the most influential accounts have been those developed by Allan Franklin (1986, 1990), Deborah Mayo (1996) and Peter Galison (1987), each of which was developed primarily with reference to examples drawn from the history of physics. One useful way to access the generality of an account of experiment is to see how it (...) fares with reference to examples drawn from disciplines far removed from the context within which it was developed. In previous essays I examined and compared the adequacy of Franklin and Mayo’s views on experiment with reference to an episode drawn from the history of evolutionary biology, H.B.D. Kettlewell's classic studies of the phenomenon of industrial melanism (Rudge 1998, 2001). The present essay reanalyzes Kettlewell’s work once more, this time as a test of Peter Galison’s provocative account of experimentation in the sciences. Kettlewell’s investigations can indeed be interpreted within Galison’s perspective, but this appears to reflect the vagueness of many key distinctions Galison makes more than any special insights his views provide on the nature of experimentation in evolutionary biology. (shrink)

Eliminative reasoning is a method that has been employed in many significant episodes in the history of science. It has also been advocated by some philosophers as an important means for justifying well-established scientific theories. Arguments for how eliminative reasoning is able to do so, however, have generally relied on a too narrow conception of evidence, and have therefore tended to lapse into merely heuristic or pragmatic justifications for their conclusions. This paper shows how a broader conception of evidence not (...) only can supply the needed justification but also illuminates the methodological significance of eliminative reasoning in a variety of contexts. (shrink)

The operational perspective here defended permits a reflexive-transcendental point of view that sharply distinguishes the two concepts, while, at the same time, maintaining the connection between them. On the one hand, simply imagining that the experimental apparatus, counterfactually anticipated in a thought experiment, has really been constructed is sufficient to erase any difference between thought and real experiments. On the other hand, this very ‘imagining’, this capacity of the mind to assume every real entity as a possible entity, underpins the (...) difference in principle – a properly transcendental difference – between thought and real experiments. This difference, however, implies the intimate association between experiment and thought experiment: All thought experiments must be thought of as translatable into real ones, and all real experiments as realisations of thought ones. What thought experiments have over and above real experiments is the mere fact that they exist in a purely hypothetical sphere; what real have over and above thought experiments is the mere fact that they overstep the sphere of the possible, in the experiment’s real execution. (shrink)

The operational perspective here defended permits a reflexive-transcendental point of view that sharply distinguishes the two concepts, while, at the same time, maintaining the connection between them. On the one hand, simply imagining that the experimental apparatus, counterfactually anticipated in a thought experiment, has really been constructed is sufficient to erase any difference between thought and real experiments. On the other hand, this very ‘imagining’, this capacity of the mind to assume every real entity as a possible entity, underpins the (...) difference in principle – a properly transcendental difference – between thought and real experiments. This difference, however, implies the intimate association between experiment and thought experiment: All thought experiments must be thought of as translatable into real ones, and all real experiments as realisations of thought ones. What thought experiments have over and above real experiments is the mere fact that they exist in a purely hypothetical sphere; what real have over and above thought experiments is the mere fact that they overstep the sphere of the possible, in the experiment’s real execution. (shrink)