Is there anything you know entirely off your own bat? Your knowledge depends pervasively on the word of others. Knowledge of events before you were born or outside your immediate neighborhood are the obvious cases, but your epistemic dependence on testimony goes far deeper that this. Mundane beliefs ââ¬â such as that the earth is round or that you think with your brain ââ¬â almost invariably depend on testimony, and even quite personal facts ââ¬â such as your birthday or the (...) identity of your biological parents ââ¬â can only be known with the help of others. Science is no refuge from the ubiquity of testimony. At least most of the theories that a scientist accepts, she accepts because of what others say. The same goes for almost all the data, since she didn't perform those experiments herself. Even in those experiments she did perform, she relied on testimony hand over fist: just think of all those labels on the chemicals. Even her personal observations may have depended on testimony, if observation is theory-laden, since those theories with which it is laden.. (shrink)
We are addicted to explanation, constantly asking and answering why-questions. But what does an explanation give us? I will consider some of the possible goods, intrinsic and instrumental, that explanations provide. The name for the intrinsic good of explanation is `understanding', but what is this? In the first part of this paper I will canvass various conceptions of understanding, according to which explanations provide reasons for belief, make familiar, unify, show to be necessary, or give causes. Three general features of (...) explanation will serve as tests of these varied conceptions. These features are: a) the distinction between knowing that a phenomena occurs and understanding why it does; b) the possibility of giving explanations that are not themselves explained; c) the possibility of explaining a phenomenon in cases where the phenomenon itself provides an essential part of the reason for believing that the explanation is correct. There are many other aspects of our explanatory practices that a good account of explanation and understanding should capture, but these simple tests provide surprisingly effective diagnostic tools for the evaluation of broad conceptions of the nature of understanding. It will turn out that the causal conception of understanding does particularly well on the tests, though of course it too faces various difficulties. The balance of this essay focuses on the causal conception. After addressing some of the difficulties it faces, I will ask.. (shrink)
To admit at a cocktail party that one does philosophy of science is a good way to end the conversation. Many people have only the haziest idea what philosophers do and many people think that philosophy and science have nothing to do with each other. So I will begin with some general remarks about the philosophy of science, before turning to the great Cambridge tradition in the subject. Finally, because the only way properly to appreciate philosophy is to worry a (...) philosophical problem for oneself, I will present a puzzle about the way scientists test their theories. (shrink)
In their important book, Causation in the Law, H. L. A. Hart and Tony Honore argue that causation in the law is based on causation outside the law, that the causal principles the courts rely on to determine legal responsibility are based on distinctions exercised in ordinary causal judgments. A distinction that particularly concerns them is one that divides factors that are necessary or sine qua non for an effect into those that count as causes for purposes of legal responsibility (...) and those that do not. Hart and Honore claim that this distinction is often one of fact rather than of legal policy, and that the factual basis is to be found in the ordinary distinction we draw between causes and 'mere conditions'. If this claim is correct, we may hope to illuminate the legal distinction by articulating the principles behind the ordinary one. This is a challenging task since, as in the case of most cognitive skills, we are far better at making particular judgments than we are at stating the general principles that underlie them. Hart and Honore devote the first part of their book to this difficult task. We have, then, two large projects. One is to articulate our ordinary notion of causation, especially the distinction between cause and mere condition. This is the project of constructing an 'ordinary model'. The other is to argue for what we may call the 'shared concept claim', the claim that the concept of legal cause is based on the ordinary notion of causation, that 'causal judgments, though the law may have to systematize them, are not specifically legal. They appeal to a notion which is part of everyday life' (1985, p. lv; all references to follow are from this edition). This essay will focus on Hart and Honore's ordinary model, rather than on their shared concept claim. In my judgment, Hart and Honore's case for some version of the shared concept claim is strong, so they are right to maintain that a better understanding of our ordinary notion of.. (shrink)
Bas van Fraassen wants to be an empiricist, but he is deeply dissatisfied with traditional versions of empiricism. So he is developing a new approach: epistemological voluntarism. Let me be blunt. Van Fraassen is an outstanding philosopher, and his new epistemology is important. But The Empirical Stance is a difficult book, because voluntarism is a difficult position to articulate. In what follows I attempt to clarify the situation a little, or at least to explain why it resists clarification.
The stimulating programme of The Dappled World is metaphysics in the service of methodology. To say that the world is dappled is to say that the laws of nature only apply to certain regions. A central argument for this claim is epistemic. Although the laws, especially laws of physics, are typically thought of as universal, in fact we have only managed to construct precise quantitative models for a very limited range of cases, most of which lie within the artificially simplified (...) environment of the laboratory. We lack models for many real-word situations not because we haven’t tried to build them, but because we have tried and failed. This failure is compatible with the existence of a complete set of physical laws, perhaps never to be known, which governs all regions; but the evidence of our history of failures points the other way, to a dappled world. (shrink)
Karl Popper attempted to give an account of scientific research as the rational pursuit of the truth about nature without any appeal to what he took to be the fictitious notion of non-demonstrative or inductive support. Deductive inference can be seen to be inference enough for science, he claimed, once we appreciate the power of data to refute theory. Many of the standard objections to Popper's account purport to show that his deductivism actually entails a radical scepticism about the possibility (...) of scientific knowledge. Some of these objections appear unanswerable in the context of the traditional analysis of knowledge as justified true belief; but this is neither a conception of knowledge that Popper himself accepted nor one that is currently in fashion. Reliabilism, the view that knowledge is a true belief generated by a reliable method, is now a popular replacement for the traditional analysis and one that is closer to Popper's own conception of knowledge. My aim in this essay is to consider in brief compass the prospects of a reliabilist reading of Popper's account of science. Such a reading makes it possible to turn some of the standard objections helps to show which of Popper's views should be accepted and which rejected. (shrink)
The attitudes of scientists towards the philosophy of science is mixed and includes considerable indifference and some hostility. This may be due in part to unrealistic expectation and to misunderstanding. Philosophy is unlikely directly to improve scientific practices, but scientists may find the attempt to explain how science works and what it achieves of considerable interest nevertheless. The present state of the philosophy of science is illustrated by recent work on the ‘truth hypothesis’, according to which, science is generating increasingly (...) accurate representations of a mind-independent and largely unobservable world. According to Karl Popper, although truth is the aim of science, it is impossible to justify the truth hypothesis. According to Thomas Kuhn, the truth hypothesis is false, because scientists can only describe a world that is partially constituted by their own theories and hence not mind-independent. The failure of past scientific theories has been used to argue against the truth hypothesis; the success of the best current theories has been used to argue for it. Neither argument is sound. (shrink)
This essay focuses on the cognitive tension between science and religion, in particular on the contradictions between some of the claims of current science and some of the claims in religious texts. My aim is to suggest how some work in the philosophy of science may help to manage this tension. Thus I will attempt to apply some work in the philosophy of science to the philosophy of religion, following the traditional gambit of trying to stretch the little one does (...) understand to cover what one does not understand. My own views on science and religion are hardly views from nowhere. My scientific perspective is that of a hopeful realist. Scientific realism is the view that science, though fallible through and through, is in the truth business, attempting to find out about a world independent of ourselves, and it is the view that business is, on the whole, going pretty well. My religious perspective is that of a progressive Jew. The problem I am worrying in this essay is my own problem. I take my other philosophical problems seriously too, but for the me the question of the relationship between science and religion has a personal edge I do not feel in my other philosophical obsessions with the likes of the problems of induction or the content of ceteris paribus laws. My reply to a charge of self-indulgence would be that my cognitive predicament is, I believe, widely shared. (shrink)
This paper considers how we decide whether to believe what we are told. Inference to the Best Explanation, a popular general account of non-demonstrative reasoning, is applied to this task. The core idea of this application is that we believe what we are told when the truth of what we are told would figure in the best explanation of the fact that we were told it. We believe the fact uttered when it is part of the best explanation of the (...) fact of utterance. Having provided some articulation of this account of testimonial inference, the paper goes on to consider whether the account is informative and whether it is plausible. (shrink)
Peter Lipton (2007). Accepting Contradictions. In Bradley John Monton (ed.), Images of Empiricism: Essays on Science and Stances, with a Reply From Bas C. Van Fraassen. Oxford University Press.
There is a natural objection to the epistemic coherence of Bas van Fraassen’s use of a distinction between the observable and unobservable in his constructive empiricism, an objection that has been raised with particular clarity by Alan Musgrave. We outline Musgrave’s objection, and then consider how one might interpret and evaluate van Fraassen’s response. According to the constructive empiricist, observability for us is measured with respect to the epistemic limits of human beings qua measuring devices, limitations ‘which will be described (...) in detail in the final physics and biology’ (van Fraassen 1980: 17). In order for the constructive empiricist to determine what counts as observable, he will have to appeal to our best scientific theories of light, human physiology, and so forth. To put the same point in a slightly more abstract way, in order to draw a distinction between observable and unobservable entities, the constructive empiricist needs to use his best scientific theory of observability – call it T* – to tell him the identity of the observable entities. This raises an interesting difficulty. Constructive empiricism is the view that ‘science aims to give us theories that are empirically adequate; and acceptance of a theory involves as belief only that it is empirically adequate’ (van Fraassen 1980:12). When he accepts a theory, the constructive empiricist only believes the statements of his scientific theories that are about observable entities. Thus, in order to know which statements of a scientific theory to believe, the constructive empiricist needs to know which statements of that theory are about observable entities. In particular then, the constructive empiricist only believes the statements of his theory of observability T* that are about observable entities. Therefore, in order to know which statements of T* he can believe, the constructive empiricist needs to know which statements of T* are about observable entities. However, it is T* that tells the constructive empiricist what counts as an observable entity: the constructive empiricist therefore needs to use T* to tell him which statements of T* he can believe. The fact that the distinction drawn by T* must also apply to itself is not an immediate cause for alarm.. (shrink)
It was David Hume’s great sceptical argument about non-demonstrative reasoning—the problem of induction—that hooked me on philosophy. I am still wriggling, but in the present essay I will not consider how the Humean challenge to justify our inductive practices might be met; rather, I ask why we had to wait until Hume for the challenge to be raised. The question is a natural one to ask, given the intense interest in scepticism before Hume for as far back as we can (...) see in the history of philosophy, and given that Hume’s sceptical argument is so simple and so fundamental. It is not so easy to answer. I am no historian of philosophy, and given the pull that the problem of induction exerts on my own philosophical thinking, I know there is a considerable risk that the historical speculations I consider here will turn out to be worthlessly anachronistic. But I hope not. (shrink)
We are discovering more and more about the human genotypes and about the connections between genotype and behaviour. Do these advances in genetic information threaten our free will? This paper offers a philosopher’s perspective on the question.
How do we go about weighing evidence, testing hypotheses, and making inferences? The model of "inference to the best explanation" (IBE) -- that we infer the hypothesis that would, if correct, provide the best explanation of the available evidence--offers a compelling account of inferences both in science and in ordinary life. Widely cited by epistemologists and philosophers of science, IBE has nonetheless remained little more than a slogan. Now this influential work has been thoroughly revised and updated, and features a (...) new introduction and two new chapters. Inference to the Best Explanation is an unrivaled exposition of a theory of particular interest in the fields both of epistemology and the philosophy of science. (shrink)
Earlier in this volume, Wesley Salmon has given a characteristically clear and trenchant critique of the account of non-demonstrative reasoning known by the slogan `Inference to the Best Explanation'. As a long-time fan of the idea that explanatory considerations are a guide to inference, I was delighted by the suggestion that Wes and I might work together on a discussion of the issues. In the event, this project has exceeded my high expectations, for in addition to the intellectual gain that (...) comes from the careful study of his essay, I have benefited enormously from the stream of illuminating emails and faxes that Wes has sent me during our collaboration. Doing philosophy together has been an education and a pleasure. Salmon's essay would place Inference to the Best Explanation beyond the pale of acceptable philosophical accounts of inference. According to Salmon, Inference to the Best Explanation has serious internal difficulties and compares very unfavourably with Bayesian approaches to these matters. My aim in the following remarks is irenic. I hope to show that a number of the claimed difficulties either are not really difficulties or are avoidable. In some cases, the avoidance will require a mild reinterpretation of the account that lies behind the slogan `Inference to the Best Explanation'; in others, it will require admitting limits to the scope of the account. For I accept at the outset that Inference to the Best Explanation cannot possibly be the whole story about the assessment of scientific hypotheses. For me, the interesting idea is simply that we sometimes decide how likely a hypothesis is to be correct in part by considering how good an explanation it would provide, if it were correct. This is the idea of explanatory considerations providing a guide to inference, and this is the idea that I will here promote. (shrink)
At a New York cocktail party shortly after the war, a young and insecure physics postgraduate was heard to blurt out to a woman he had met there: ‘I just want to know what Truth is!’ This was Thomas Kuhn and what he meant was that specific truths such as those of physics mattered less to him than acquiring metaphysical knowledge of the nature of truth. Soon afterwards, he gave up physics, but rather than take up philosophy directly, he approached (...) it by way of the history of science. The work that followed, especially The Structure of Scientific Revolutions , published in 1962 and now with sales of well over a million copies, makes his the most important contribution to the history and philosophy of science of the twentieth century. (shrink)
From a reliabilist point of view, our inferential practices make us into instruments for determining the truth value of hypotheses where, like all instruments, reliability is a central virtue. I apply this perspective to second-order inductions, the inductive assessments of inductive practices. Such assessments are extremely common, for example whenever we test the reliability of our instruments or our informants. Nevertheless, the inductive assessment of induction has had a bad name ever since David Hume maintained that any attempt to justify (...) induction by means of an inductive argument must beg the question. I will consider how the inductive justification of induction fares from the reliabilist point of view. I will also consider two other wellknown arguments that can be construed as inductive assessments of induction. One is the miracle argument, according to which the truth of scientific theories should be inferred as the best explanation of their predictive success; the other is the disaster argument, according to which we should infer that all present and future theories are false on the grounds that all past theories have been found to be false. (shrink)
Most laws are ceteris paribus (cp) laws: they say not that all Fs are G but only that All Fs are G all else being equal. Most philosophical accounts of laws, however, have focused on strict laws. This paper considers how some of the standard philosophical problems about laws change when we switch attention from strict to cp laws and what special problems these laws raise. It is argued that some cp laws do not simply reflect the complexity of the (...) world and the limitations of our minds. Correctly interpreted, they reveal the simplicity that underlies the complexity, a simplicity that it is without our cognitive powers to grasp. (shrink)
Several of the essays in this collection discuss the `binding problem', the problem of explaining in neurophysiological terms how it is that we see the various perceptual qualities of a physical object, such as its shape, colour, location and motion, as features of a single object. The perceived object seems to us a unitary thing, but its sensory properties are diverse and turn out to be processed in different areas of the brain. How then does the brain manage the integration? (...) Readers of the essays in this collection may find themselves suffering from an analogous binding problem about the study of consciousness, though this problem is conceptual rather than perceptual, and here the difficulty is to achieve the integration rather than to understand how an effortless integration is achieved. Consciousness is the ideal topic for inter-disciplinary investigation. It is a central concern of such diverse disciplines as neurophysiology, evolutionary biology, psychology, cognitive science, philosophy and theology, among others, yet none of these disciplines has come close to providing full answers to the central questions that consciousness raises. Inter-disciplinary investigation seems an obvious way forward, but it generates the conceptual binding problem that this collection displays. The standard of the essays is very high, but it is extraordinarily difficult to integrate their content into anything like a single picture. We are all apparently talking about the same phenomenon, the conscious awareness of the world that each of us enjoys first-hand, but it is quite unclear how to see the very different things we say about this phenomenon as part of a single picture, or even as parts of different but compatible pictures. Having raised the binding problem for the inter-disciplinary study of consciousness, I hasten to say that I will not attempt even a partial substantive solution here: that is left as an exercise for the readers of this book. (shrink)
Is it ever rational to believe that a scientific theory is even approximately true? The evidence, however extensive, will not entail the theory it supports: the grounds for belief always remain inductive. Consequently, the realist who holds that there can be rational grounds for belief remains hostage to wholesale Humean scepticism about induction. The Humean argument has yet to be conclusively turned, but that project is not my present concern. Instead, I propose to consider intermediate forms of scepticism which attempt (...) to show that, even if we grant scientists considerable inductive powers, rational belief in theory remains impossible. I will argue that some of these intermediate forms of scepticism are unstable, leading either back to radical Humean doubt or towards a moderate realism. I will focus especially on the argument from `underconsideration'. This argument has two premises. The ranking premise states that the testing of theories yields only a comparative warrant. Scientists can rank the competing theories they have generated with respect to likelihood of truth. The premise grants that this process is known to be highly reliable, so that the more probable theory is always ranked ahead of a less probable competitor and the truth, if it is among the theories generated, is likely to be ranked first, but the warrant remains comparative. In short, testing enables scientists to say which of the competing theories they have generated is likeliest to be correct, but does not itself reveal how likely the likeliest theory is. The second premise of the argument, the no-privilege premise, states that scientists have no reason to suppose that the process by which they generate theories for testing makes it likely that a true theory will be among those generated. It always remains possible that the truth lies rather among those theories nobody has considered, and there is no way of judging how likely this is. The conclusion of the argument is that, while the best of the.... (shrink)
An effect is typically explained by citing a cause, but not any cause will do. The oxygen and the spark were both causes of the fire, but normally only the spark explains it. What then distinguishes explanatory from unexplanatory causes? One might attempt to characterise this distinction in terms of intrinsic features of the causes. For example, some causes are changes while others are standing conditions, and one might claim that only the changes explain. Both the spark and the oxygen (...) are causes of the fire, but only the spark is a change, and perhaps this is the reason only the spark explains. On the other hand, one might attempt to characterise the distinction between explanatory and unexplanatory causes in terms of the relation between cause and effect. For example, only some causes are sufficient for their effects, and perhaps only sufficient causes explain. There is, however, an elementary feature of the distinction between explanatory and unexplanatory causes that neither an intrinsic nor a relational approach are well-suited to capture. This is the so-called `interest-relativity' of explanation: the very same cause may be explanatory for one person but not for another. When there is a famine in India, an Indian peasant may explain this by citing the drought, while a member of the World Health Organization may instead cite the failure of the Indian government to stock adequate reserves of food (Hart and Honore, 1985, pp. (shrink)
Alan Garfinkel (1981) and Bas van Fraassen (1980), among others, have proposed a contrastive theory of explanation, according to which the proper form of an explanatory why-question is not simply "Why P?" but "Why P rather than Q?". Dennis Temple (1988) has argued in this journal that the contrastive explanandum "P rather than Q" is equivalent to the conjunction, "P and not-Q". I show that the contrast is not equivalent to the conjunction, nor to other plausible noncontrastive candidates. I then (...) consider David Lewis's (1986) proposal for the way contrasts determine an explanatory cause, which does not require recasting the contrastive explanandum. Lewis's proposal is found to be unacceptable, but it suggests an improvement that shows contrastive explanations to employ a mechanism of "causal triangulation", similar to Mill's method of difference. (shrink)
Abstract Evidence that supports a theory may be available to the scientist who constructs the theory and used as a guide to that construction, or it may only be discovered in the course of testing the theory. The central claim of this essay is that information about whether the evidence was accommodated or predicted affects the rational degree of confidence one ought to have in the theory. Only when the evidence is accommodated is there some reason to believe that the (...) theoretical system was ?fudged? to fit the evidence in a way that weakens support. This weakening is an objective matter, but not one that can be conclusively determined by examining the contents of the theory and its logical relationship to the evidence. Consequently, there is less reason to believe a theory on the basis of that evidence when it is known that the evidence was accommodated than there would be if it was known instead that the same evidence had been predicted. (shrink)
This paper considers a central objection to evolutionary epistemology. The objection is that biological and epistemic development are not analogous, since while biological variation is blind, epistemic variation is not. The generation of hypotheses, unlike the generation of genotypes, is not random. We argue that this objection is misguided and show how the central analogy of evolutionary epistemology can be preserved. The core of our reply is that much epistemic variation is indeed directed by heuristics, but these heuristics are analogous (...) to biological preadaptations which account for the evolution of complex organs. We also argue that many of these heuristics or epistemic preadaptations are not innate but were themselves generatedby a process of blind variation and selective retention. (shrink)
