Causal Explanation

This paper brings together Thompson's naive action explanation with interventionist modeling of causal structure to show how they work together to produce causal models that go beyond current modeling capabilities, when applied to specifically selected systems. By deploying well-justified assumptions about rationalization, we can strengthen existing causal modeling techniques' inferential power in cases where we take ourselves to be modeling causal systems that also involve actions. The internal connection between means and end exhibited in naive action explanation has a modal (...) strength like that of distinctively mathematical explanation, rather than that of causal explanation. Because it is stronger than causation, it can be treated as if it were merely causal in a causal model without thereby overextending the justification it can provide for inferences. This chapter introduces and demonstrate the usage of the Rationalization condition in causal modeling, where it is apt for the system(s) being modeled, and to provide the basics for incorporating R variables into systems of variables and R arrows into DAGs. Use of the Rationalization condition supplements causal analysis with action analysis where it is apt. (shrink)

Explaining the behaviour of ecosystems is one of the key challenges for the biological sciences. Since 2000, new-mechanicism has been the main model to account for the nature of scientific explanation in biology. The universality of the new-mechanist view in biology has been however put into question due to the existence of explanations that account for some biological phenomena in terms of their mathematical properties (mathematical explanations). Supporters of mathematical explanation have argued that the explanation of the behaviour of ecosystems (...) is usually provided in terms of their mathematical properties, and not in mechanistic terms. They have intensively studied the explanation of the properties of ecosystems that behave following the rules of a non-random network. However, no attention has been devoted to the study of the nature of the explanation in those that form a random network. In this paper, we cover that gap by analysing the explanation of the stability behaviour of the microbiome recently elaborated by Coyte and colleagues, to determine whether it fits with the model of explanation suggested by the new-mechanist or by the defenders of mathematical explanation. Our analysis of this case study supports three theses: (1) that the explanation is not given solely in terms of mechanisms, as the new-mechanists understand the concept; (2) that the mathematical properties that describe the system play an essential explanatory role, but they do not exhaust the explanation; (3) that a non-previously identified appeal to the type of interactions that the entities in the network can exhibit, as well as their abundance, is also necessary for Coyte and colleagues’ account to be fully explanatory. From the combination of these three theses we argue for the necessity of an integrative pluralist view of the nature of behaviour explanation when this is given by appealing to the existence of a random network. (shrink)

While ideal interventions are acknowledged by many as valuable tools for the analysis of causation, recent discussions have shown that, since there are no ideal interventions on upper-level phenomena that non-reductively supervene on their underlying mechanisms, interventions cannot—contrary to a popular opinion—ground an informative analysis of constitution. This has led some to abandon the project of analyzing constitution in interventionist terms. By contrast, this paper defines the notion of a horizontally surgical intervention, and argues that, when combined with some innocuous (...) metaphysical principles about the relation between upper and lower levels of mechanisms, that notion delivers a sufficient condition for constitution. This, in turn, strengthens the case for an interventionist analysis of constitution. (shrink)

Several theories of causation reject causation of or by absences. They thereby clash with much of what we think and say about what causes what. This paper examines a way in which one kind of theory, causal dispositionalism, can be modified so as to accept absence causation, while still retaining a fundamental commitment of dispositionalism. The proposal adopts parts of a strategy described by David Lewis. The paper concludes with a brief discussion of the problem of the proliferation of causes.

This work addresses and resolved Kant's first antinomy, and brings metaphysics in line with advances in he science of big bang cosmology, introduces a new philosophical argument for the existence of a Supreme Being, and is presented in three versions, with the first version quoting Kant's most relevant remarks with regard to what he calls a science of metaphysics, and an abbreviated version without any quotes, as well as a one page abstract diagram of the argument.

In order to defend mental explanations dualists may appeal to dispositions (powers). By accepting a powers theory of causation, a dualist can more plausibly defend mental explanations that are given independently of physical explanations. Accepting a power-based theory still comes with a price. Absences and double preventers are not causes in a powers theory, and solutions based on them can only defend their explanatory relevance in mental explanations. There is still a chance that such mental explanations can be causal explanations, (...) though they do not refer to real causes. (shrink)

I argue that there is an important similarity between causation and grounding. In particular I argue that, just as there is a type of scientific explanation that appeals to causal mechanisms—causal-mechanical explanation—there is a type of metaphysical explanation that appeals to grounding mechanisms—grounding-mechanical explanation. The upshot is that the role that grounding mechanisms play in certain metaphysical explanations mirrors the role that causal mechanisms play in certain scientific explanations. In this light, it becomes clear that grounding-mechanical explanations make crucial contributions (...) to the evaluation of a variety of important philosophical theses, including priority monism and physicalism. (shrink)

This paper examines the adequacy of causal graph theory as a tool for modeling biological phenomena and formalizing biological explanations. I point out that the causal graph approach reaches it limits when it comes to modeling biological phenomena that involve complex spatial and structural relations. Using a case study from molecular biology, DNA-binding and -recognition of proteins, I argue that causal graph models fail to adequately represent and explain causal phenomena in this field. The inadequacy of these models is due (...) to their failure to include relevant spatial and structural information in a way that does not render the model non-explanatory, unmanageable, or inconsistent with basic assumptions of causal graph theory. (shrink)

, whereby some causes are deemed more important than others, are ubiquitous in historical studies. Drawing from influential recent work on causation, I develop a definition of causal-explanatory strength. This makes clear exactly which aspects of explanatory weighting are subjective and which objective. It also sheds new light on several traditional issues, showing for instance that: underlying causes need not be more important than proximate ones; several different causes can each be responsible for most of an effect; small causes need (...) not be less important than big ones; and non-additive interactive effects between causes present no particular difficulty. Key Words: causation • explanation • history • interaction • proximate • underlying. (shrink)

Some explanations are relatively abstract: they abstract away from the idiosyncratic or messy details of the case in hand. The received wisdom in philosophy is that this is a virtue for any explanation to possess. I argue that the apparent consensus on this point is illusory. When philosophers make this claim, they differ on which of four alternative varieties of abstractness they have in mind. What’s more, for each variety of abstractness there are several alternative reasons to think that the (...) variety of abstractness in question is a virtue. I identify the most promising reasons, and dismiss some others. The paper concludes by relating this discussion to the idea that explanations in biology, psychology and social science cannot be replaced by relatively micro explanations without loss of understanding. (shrink)

In this article, I weigh in on the debate between "Humeans" and "New Humeans" concerning David Hume's stance on the existence of causal connections in "the objects." According to New Humeans, Hume believes in causal connections; according to Humeans, he does not. -/- My argument against New Humeans is that it is too difficult to reconcile Hume's repeated claims that causal connections are inconceivable with any belief that they these inconceivable somethings still exist. Specifically, Hume either assumes or does not (...) assume that causal connections do or must exist. If he does not, then the New Hume is false. If he does, then it is only reasonable to expect him to do one of two things: (1) provide explicit and unambiguous statements to the effect that he still believes that causal connections do or must exist despite his belief that we cannot even conceive of them and/or (2) provide textual evidence that he subscribes to a reason for believing that causal connections do or must exist in the objects despite his belief that we cannot even conceive of them. I then argue that Hume never satisfies either (1) or (2). -/- My ultimate conclusion is not that the New Hume is false. On the contrary, in section IX, I will argue that the New Hume is still a viable possibility if we attribute a certain other position to Hume – what I will refer to as "Newtonian Empiricism." But I will also argue that this rather plausible interpretation of Hume is equally consistent with Hume's being an agnostic about causal connections and Hume's being a Humean about causal connections. Therefore while we have no good reason to subscribe to the New Hume (rather than Hume's being an agnostic or a Humean), we cannot conclusively rule out this interpretation. (shrink)

Assuming that events form a genuine ontological category, shall we say that a good inventory of the world ought to include “negative” events—failures, omissions, things that didn’t happen—along with positive ones? I argue that we shouldn’t. Talk of non-occurring events is like talk of non-existing objects and should not be taken at face value. We often speak as though there were such things, but deep down we want our words to be interpreted in such a way as to avoid serious (...) ontological commitment. (shrink)

In «Mancanze, omissioni, e descrizioni negative»,55 Achille Varzi esplora le conseguenze di una forma comune di ragionamento causale, quella in cui citiamo mancanze od omissioni nel fornire una spiegazione delle cause degli eventi. Tale forma appare di comune uso nei contesti normativi del diritto, nelle spiegazioni tipiche delle scienze sociali e, più in generale, nel ragionamento ordinario. Ciò che accomuna questi casi è l’idea intuitiva secondo cui le cause possono anche consistere in eventi negativi. L’intuizione non è però metafisicamente innocua, (...) poiché per affermare che una spiegazione come "C’è stata un’esplosione perché Gianni non ha spento il gas" sia una buona spiegazione, occorre assumere che gli eventi negativi come “il non aver spento il gas da parte di Gianni” esistano al pari di eventi come l’esplosione e dal momento che, solo se sono entrambi eventi, può tra questi sussistere una relazione casuale. Dovremmo pertanto concludere che (1) è perfettamente intellegibile e rispecchia le nostre pratiche linguistiche. Spesso parliamo assumendo che ci siano cose che le persone non fanno: il gas che Gianni non ha spento, la passeggiata che non abbiamo fatto, il treno che non è arrivato, ecc. La sensatezza di questi usi esige pertanto il dover riconoscere una certa legittimità al vocabolario delle omissioni e delle descrizioni negative. Varzi sostiene che questo modo di parlare solleva tuttavia degli scrupoli ontologici,56 poiché non è possibile assumersi alcun serio impegno ontologico nei confronti di eventi negativi, ancor meno quando le nostre asserzioni richiedono di quantificare su eventi “inesistenti”. Una strategia per ovviare a questo scrupolo è sostenere che queste pratiche linguistiche sono analoghe a quelle in cui parliamo di oggetti “inesistenti”, ossia di oggetti che è come se ci fossero, ma che riconosciamo esistere soltanto in un contesto finzionale. Dunque l’analogia con gli oggetti finzionali può rendere in qualche modo espliciti i vincoli ontologici, giustificando quegli usi linguistici. Sebbene questo argomento abbia la sua plausibilità, Varzi nota che «ad un esame più attento, gli eventi non accaduti si rivelano ben più resistenti al rasoio di Occam di quanto l’analogia con gli oggetti non esistenti suggerisca » poiché il nostro linguaggio causale ci induce spesso a ritenere che «il riferimento o la quantificazione nei confronti di eventi non accaduti sia da intendersi in senso stretto e letterale»,57 in contrasto con quanto suggerisce l’analogia con gli oggetti finzionali. La difficoltà nasce dall’argomento per cui, se la causazione è una relazione tra eventi, occorre prendere sul serio l’idea che gli eventi negativi siano negativi stricto sensu. La tesi di Varzi è che questa tesi sia una contraddizione genuina e che l’unico modo di risolverla sia di rinunciare all’idea che gli eventi negativi esistano in un qualsiasi senso. In questo articolo intendo analizzare un aspetto di questa forma di parsimonia ontologica. Il mio intento è di valutare le conseguenze della tesi di Varzi dal punto di vista della spiegazione causale in contesti controfattuali e nei casi di omissione del diritto. (shrink)

In previous work I have argued that talk about negative events should not be taken at face value: typically, what we are inclined to think of as a negative event (John’s failure to go jogging) is just an ordinary, positive event (his going to the movie instead); it is a positive event under a negative description. Here I consider more closely the difficulties that arise in those cases where no positive event seems available to do the job, as with putative (...) cases of causation by omission. In particular, I elaborate on Helen Beebee’s idea that not all causal explanations are reports of causation. When we mention John’s failure to turn off the gas as an explanans of why there was an explosion, we do not say what caused the explosion. We do not mention any of the relevant causes. We just remark that one sort of event that was supposed to occur, and whose occurrence would have prevented the explosion, did not in fact occur. (shrink)

In (Gebharter 2014) I suggested a framework for modeling the hierarchical organization of mechanisms. In this short addendum I want to highlight some connections of my approach to the statistics and machine learning literature and some of its limitations not mentioned in the paper.

As is well known, Einstein was dissatisfied with the foundation of quantum theory and sought to find a basis for it that would have satisfied his need for a causal explanation. In this paper this abandoned idea is investigated. It is found that it is mathematically not dead at all. More in particular: a quantum mechanical U(1) gauge invariant Dirac equation can be derived from Einstein's gravity field equations. We ask ourselves what it means for physics, the history of physics (...) and for the actual discussion on foundations. (shrink)

Identifying the necessary and sufficient conditions for individuating and classifying diseases is a matter of great importance in the fields of law, ethics, epidemiology, and of course, medicine. In this paper, I first propose a means of achieving this goal, ensuring that no two distinct disease-types could correctly be ascribed to the same disease-token. I then posit a metaphysical ontology of diseases—that is, I give an account of what a disease is. This is essential to providing the most effective means (...) of interfering with disease processes. Following existing work in the philosophy of medicine and epidemiology (primarily Christopher Boorse; Caroline Whitbeck; Alexander Broadbent), philosophy of biology (Joseph LaPorte; D.L. Hull), conditional analyses of causation (J.L. Mackie; David Lewis), and recent literature on dispositional essentialism (Stephen Mumford and Rani Anjum; Alexander Bird), I endorse a dispositional conception of disease. Following discussion of various conceptions of disease-identity, their relations to the clinical and pathological effects of the diseases in question, and how diseases are treated, I conclude (i) that diseases should be individuated by their causes, and (ii) that diseases are causal processes best seen as simultaneously acting sequences of mutually manifesting dispositions. (shrink)

I focus on token, deterministic causal claims as they feature in causal explanations. Adequately handling absences is difficult for most causal theories, including theories of causal explanation. Yet so is adequately handling cases of late preemption. The best account of absence-causal claims as they appear in causal explanations is Jonathan Schaffer's quaternary, contrastive account. Yet Schaffer's account cannot handle preemption. The account that best handles late preemption is James Woodward's interventionist account. Yet Woodward's account is inadequate when it comes to (...) absences. I propose an account that handles both absences and preemption by transposing Schaffer's account into an interventionist framework. (shrink)

Modeling mechanisms is central to the biological sciences – for purposes of explanation, prediction, extrapolation, and manipulation. A closer look at the philosophical literature reveals that mechanisms are predominantly modeled in a purely qualitative way. That is, mechanistic models are conceived of as representing how certain entities and activities are spatially and temporally organized so that they bring about the behavior of the mechanism in question. Although this adequately characterizes how mechanisms are represented in biology textbooks, contemporary biological research practice (...) shows the need for quantitative, probabilistic models of mechanisms, too. In this paper we argue that the formal framework of causal graph theory is well-suited to provide us with models of biological mechanisms that incorporate quantitative and probabilistic information. On the ba-sis of an example from contemporary biological practice, namely feedback regulation of fatty acid biosynthesis in Brassica napus, we show that causal graph theoretical models can account for feedback as well as for the multi-level character of mechanisms. However, we do not claim that causal graph theoretical representations of mechanisms are advantageous in all respects and should replace common qualitative models. Rather, we endorse the more balanced view that causal graph theoretical models of mechanisms are useful for some purposes, while being insufficient for others. (shrink)

I argue that we should give up the fight to rescue causal theories of action from fundamental challenges such as the problem of deviant causal chains; and that we should rather pursue an account of action based on the basic intuition that control identifies agency. In Section 1 I introduce causalism about action explanation. In Section 2 I present an alternative, Frankfurt’s idea of guidance. In Section 3 I argue that the problem of deviant causal chains challenges causalism in two (...) important respects: first, it emphasizes that causalism fails to do justice to our basic intuition that control is necessary for agency. Second, it provides countless counterexamples to causalism, which many recent firemen have failed to extinguish – as I argue in some detail. Finally, in Section 4 I argue, contra Al Mele, that control does not require the attribution of psychological states as causes. (shrink)

When is a cause of a cause of an effect also a cause of that effect? The right answer is either Sometimes or Always . In favour of Always , transitivity is considered by some to be necessary for distinguishing causes from redundant non-causal events. Moreover transitivity may be motivated by an interest in an unselective notion of causation, untroubled by principles of invidious discrimination. And causal relations appear to add up like transitive relations, so that the obtaining of the (...) overarching relation is not independent of the obtaining of the intermediaries. On the other hand, in favour of Sometimes , often we seem not to treat events that are very spatiotemporally remote from an effect as its causes, even when connected to the effect in question by a chain of counterfactual or chance-raising dependence. Moreover cases of double prevention provide counterexamples to causal transitivity even over short chains. According to the argument of this paper, causation is non-transitive. Transitizing causation provides no viable account of causal redundancy. An unselective approach to causation may motivate resisting the distance counterexamples to transitivity, but it does not help with double prevention, and even makes it more intractable. The strongest point in favour of transitivity is the adding up of causal relations, and this is the point that extant non-transitizing analyses have not adequately addressed. I propose a necessary condition on causation that explains the adding up phenomenon. In doing so it also provides a unifying explanation of distance and double prevention counterexamples to transitivity. (shrink)

In this article I seek to say what it is for something to count as a neglected disease. I argue that neglect should be defined in terms of efforts at prevention, mitigation and cure, and not solely in terms of research dollars per disability-adjusted life-year. I further argue that the trend towards multifactorialism and risk factor thinking in modern epidemiology has lent credibility to the erroneous view that the primary problem with neglected diseases is a lack of research. A more (...) restrictive contrastive model of disease is endorsed as better suited to the definition of neglected disease. (shrink)

Graham Oppy has argued that possible explanation entails explanation in order to object to Richard Gale and Alexander Pruss’s new cosmological argument that it does not improve upon familiar cosmological arguments. Gale and Pruss as well as Pruss individually have granted Oppy’s inference from possible explanation to explanation and argue that this inference provides a reason to believe that the strong principle of sufficient reason is true. In this article, I shall undermine Oppy’s objection to the new cosmological argument by (...) arguing that it is logically possible that some truths are merely possibly explained. (shrink)

Church and Fitch have argued that from the verificationationist thesis “for every proposition, if this proposition is true, then it is possible to know it” we can derive that for every truth there is someone who knows that truth. Moreover, Humberstone has shown that from the latter proposition we can derive that someone knows every truth, hence that there is an omniscient being. In his article “Omnificence”, John Bigelow adapted these arguments in order to argue that from the assumption "every (...) contingent proposition is such that if it is true something brought it about that it is true" we can derive that there is an omnificent being: a being that brings it about that every true contingent proposition is true. In my reply to his article, I show that Bigelow’s argument is flawed because there is some formal property that the knowledge operator has but that the bringing about operator lacks. This is the property of distributing over conjunctions. I explain why what brings it about that some conjunctive proposition is true need not bring it about that its conjuncts are true. (shrink)