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Structural equations and causation

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Abstract

Structural equations have become increasingly popular in recent years as tools for understanding causation. But standard structural equations approaches to causation face deep problems. The most philosophically interesting of these consists in their failure to incorporate a distinction between default states of an object or system, and deviations therefrom. Exploring this problem, and how to fix it, helps to illuminate the central role this distinction plays in our causal thinking.

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Notes

  1. For an example of a similar approach that—in my view, at least—lacks the needed controls, see Yablo (2004).

  2. For representative treatments of causation along these lines, see Pearl (2000), Hitchcock (2001), and Halpern and Pearl (2005).

  3. I learned this useful terminology from Chris Hitchcock, whose own work on structural equations approaches clearly recognizes the importance of the default/deviant distinction. See also Maudlin (2004) for a very different approach that relies centrally on this distinction.

  4. With, of course, the usual understanding that the dependence is “non-backtracking”: it’s not that if D had not fired, that would have been because C did not fire, hence E would have fired all the same. Lewis (1979) gives what has come to be viewed as the standard treatment of non-backtracking conditionals. I think the influence this article has had is highly unfortunate, because its approach is badly confused. See the extended version, Sect. 4.

  5. A small technical nicety: equations must take the most “efficient” form—we can’t, for example, make B here depend on C by rewriting the second equation as \({{\bf B} \Leftarrow {\bf A + C - C.}}\) More exactly, we can say that a variable Y in the equation for X is irrelevant iff, for each way of specifying the values of the other variables in the equation, there is a value v such that the equation guarantees that X = v, regardless of the value of Y. What we require is that no structural equation contain any irrelevant variables.

  6. The problem indicated here for accommodating backwards causation is not at all peculiar to the structural equations approach, but affects any counterfactual analysis. See Arntzenius and Maudlin (2005) for relevant details.

  7. Halpern and Pearl’s extra condition is strictly weaker than (ii), allowing that the C-E process could have been altered by these external contingencies, so long as the alterations were in a specific sense irrelevant.

  8. The extended version looks at structural equations treatments of late preemption, as well—too long a discussion to include here. But I cannot resist observing that there is an astonishing gap—a chasm, a Grand Canyon—between the claims that partisans of structural equations make on behalf of these treatments, on one hand, and the fallacy-ridden reality, on the other.

  9. In Hall (2000), I labored mightily to have the contrary intuition, in order to preserve the transitivity of causation. I now think that was probably a mistake.

  10. Halpern and Pearl (2005) think otherwise, offering a rather tortured defense of the claim that other acceptable models for switches will yield the result that the switching event is not (relative to those models) a cause of the target effect. See the extended version for discussion.

  11. Thus I am distancing myself somewhat from the view expressed in Hall (2004c), though largely to avoid needless complication.

  12. For a rare—and strained—disagreement, see Lewis (2004).

  13. How might the dynamics distinguish one state as a ‘nothing happening’ state? Perhaps this way: there might be a unique state such that, if every cell has that state at some time, then given the dynamics, every cell must continue to have that state, thereafter. The idea is that the characteristic dynamical behavior of a state of the world that qualifies as a state in which nothing is happening, anywhere, is to persist unchanged. Note that in Conway’s game of “Life”, the ‘empty’ cell state has this feature, but the ‘filled’ state doesn’t.

  14. That’s generally true of threat-cancelers: since the presence of the threat is typically extrinsic to any reasonable candidate for a sequence of causes connecting the threat-canceler to the effect, Intrinsicness will rule that they are not causes, at least of the sort that thesis aims to characterize.

  15. Exactly the same state? No. See the extended version for discussion of this qualification, and the reasons for it.

  16. What makes them so easy is in part that the default state—namely, non-firing—for a neuron is so clear and unambiguous, in part that this choice of default state is fixed, independently of its setting or history, and in part that there are so few deviations to keep track of. Remove any of these simplifying conditions, and the account inevitably becomes more complicated.

  17. Not in a simple way: it’s not that we will judge C to be a cause of E iff there is a process connecting C to E. Cases of switching show that such a connection does not suffice for causation; cases of threat-canceling show that such connection is not necessary for causation.

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Hall, N. Structural equations and causation. Philos Stud 132, 109–136 (2007). https://doi.org/10.1007/s11098-006-9057-9

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