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- Larry Shapiro, Toward a New Theory of Causation.In this paper today, I would like to offer a new analysis of causation and of causal claims. It is an unorthodox one, as you will see, but I suspect that in the not too distant future it will be seen as intuitively, perhaps even trivially, true. I hardly need defend the urgency of my project. Ever since Hume, philosophers have wondered whether there are causes. This is a desperate situation. With no causes, it's hard to see how brushing my teeth is likely to prevent tooth decay. Indeed, it would not be unreasonable to read Hume as an advocate of rotten teeth, which might explain the sad state that many British mouths find themselves in today. The attentive listener will have noted that I said Hume's advocacy of rotten teeth might explain the abysmal state of British oral hygiene. Of course, if Hume is right about causation then nothing explains anything, and that explains why I have been tentative in my claim. The account I would like to propose is this. The claim ‘x causes y’ is to be understood in the following way: ‘x makes y happen’. That is, to say that x is the cause of y is just to say that x makes y happen. Or, to put it more succinctly, if x is the cause of y, then x makes y happen. This is no doubt a startling claim, and one in need of further clarification and defense. To begin, I should like to contrast my analysis with another that might, on its surface, appear similar. Suppose one were to claim that 'x is the cause of y' means that x brings y about. But ‘bringing about’ is hardly an informative verbal clause, and does little ampliative work. This way of putting it lacks the opaque transparency that we’ve come to expect of philosophical analyses of causation. Now this new account is not necessarily inconsistent with other, more traditional analyses, such as Lewis and Hausman's analyses of causation in terms of counterfactuals or Eells' probabilistic theory of causation. Consider first counterfactual analyses of causation. These are efforts to account for the meaning of causal dependencies..
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One part of the true theory of actual causation is a set of conditions responsible for eliminating all of the non-causes of an effect that can be discerned at the level of counterfactual structure. I defend a proposal for this part of the theory.
The starting point in the development of probabilistic analyses of token causation has usually been the naïve intuition that, in some relevant sense, a cause raises the probability of its effect. But there are well-known examples both of non-probability-raising causation and of probability-raising non-causation. Sophisticated extant probabilistic analyses treat many such cases correctly, but only at the cost of excluding the possibilities of direct non-probability-raising causation, failures of causal transitivity, action-at-a-distance, prevention, and causation by absence and omission. I show that an examination of the structure of these problem cases suggests a different treatment, one which avoids the costs of extant probabilistic analyses.
Does A cause B simply if A prevents what would have prevented B? Such a case is known as double prevention: where we have the prevention of a prevention. One theory of causation is that A causes B when B counterfactually depends on A and, as there is such a dependence, proponents of the view must rule that double prevention is causation.<br><br>However, if double prevention is causation, it means that causation can be an extrinsic matter, that the cause and effect need not be connected by a continuous chain of events, that there can be causation by absence, and that there can be causation at a distance. All of these implications jar with strong intuitions we have about the nature of causation. There is, on the other hand, a theory of causation based on an ontology of real dispositions, where causation involves the passing around of powers. This theory in contrast entails that double prevention is not causation and, on this issue, it can claim a victory over the counterfactual dependence account.
Counterfactual analyses of causation can provide elegant analyses of many cases of causation. However, they fail to give intuitively correct analyses of cases involving a commonplace variety of late preemptive causation. I argue that a small emendation can solve the problem.
It is widely supposed that David Hume invented and espoused the "regularity" theory of causation, holding that causal relations are nothing but a matter of one type of thing being regularly followed by another. It is also widely supposed that he was not only right about this, but that it was one of his greatest contributions to philosophy. Strawson here argues that the regularity theory of causation is indefensible, and that Hume never adopted it in any case. Strawson maintains that Hume did not claim that causation in the natural world is just a matter of regular succession, that such a dogmatic metaphysical claim about the nature of reality would have been utterly contrary to his fundamental philosophical principles, and that he rightly took it for granted that there was more to causation than regularity of succession, claiming only that regularity of succession was all that we could ever know of causation.
If we seek to analyse causation in terms of counterfactual conditionals then we must assume that there is a class of counterfactuals whose members (i) are all and only those we need to support our judgements of causation, (ii) have truth-conditions specifiable without any irreducible appeal to causation. I argue that (i) and (ii) are unlikely to be met by any counterfactual analysis of causation. I demonstrate this by isolating a class of counterfactuals called non-projective counterfactuals, or NP-counterfactuals, and indicate how counterfactual analyses of causation must appeal to them to account for the correct causal judgements we make. I show that the truth-conditions of NP-counterfactuals are specifiable only by irreducible appeal to causation. A dilemma then holds: if counterfactual analyses of causation eschew appeal to NP-counterfactuals they are empirically inadequate, but if they appeal to NP-counterfactuals they are circular and thus conceptually inadequate.
Larry Wright and others have advanced causal accounts of functional explanation, designed to alleviate fears about the legitimacy of such explanations. These analyses take functional explanations to describe second order causal relations. These second order relations are conceptually puzzling. I present an account of second order causation from within the framework of Eells' probabilistic theory of causation; the account makes use of the population-relativity of causation that is built into this theory.
The basic idea of counterfactual theories of causation is that the meaning of causal claims can be explained in terms of counterfactual conditionals of the form “If A had not occurred, C would not have occurred”. While counterfactual analyses have been given of type-causal concepts, most counterfactual analyses have focused on singular causal or token-causal claims of the form “event c caused event e”. Analyses of token-causation have become popular in the last thirty years, especially since the development in the 1970's of possible world semantics for counterfactuals. The best known counterfactual analysis of causation is David Lewis's (1973b) theory. However, intense discussion over thirty years has cast doubt on the adequacy of any simple analysis of singular causation in terms of counterfactuals. Recent years have seen a proliferation of different refinements of the basic idea to achieve a closer match with commonsense judgements about causation.
In this paper I wish to argue that counterfactual analyses of causation are inadequate. I believe the counterfactuals that are involved in counterfactual analyses of causation are often false, and thus the theories do not provide an adequate account of causation. This is demonstrated by the presentation of a counterexample to the counterfactual analyses of causation. I then present a unified theory of causation that is based upon probability and counterfactuals. This theory accounts for both deterministic and indeterministic causation, and is not subject to many of the traditional problems facing theories of causation.
Last year, as some of you may recall, I took it upon my chairly shoulders to solve the problem of causation, where this problem can be stated this way: What is causation? According to the analysis I offered, C is a cause of E if and only if C makes E happen. I am happy to report that, in the year since delivering this account of causation, no objections have arisen. The critics have been silenced. Indeed, my colleague Dan Hausman, the Herbert Simon Professor of Philosophy, reports that he is no longer satisfied with the view he expressed in his recent book on causation, and I have no doubt that his change of mind is due in no small part to my seminal contribution to this subject. If you would permit me a joke, I think I “made happen” a change in Dan’s mind. I should also mention that we are now fortunate to have amongst us Carolina Sartorio, whose own analysis of causation, arrived at independently (she claims), seems but a stylistic variant of my own. Where I see causes as things that make things happen, she sees them as things that make a difference. I think, but can’t be certain, that our analyses come to the same thing. Perhaps if she hadn’t muddied the waters with all those numbered propositions and ‘ifs’ and ‘thens’ we could settle the matter.
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