Skip to main content

Causes as Deviations from the Normal: Recent Advances in the Philosophy of Causation

  • Chapter
  • First Online:
Perspectives on Causation

Part of the book series: Jerusalem Studies in Philosophy and History of Science ((JSPS))

  • 436 Accesses

Abstract

There have recently been a number of important advances in the philosophy of causation, which impact our understanding of both the nature of causation and of causal reasoning. Two stand out in particular: First, a large body of work on the way that normative factors can influence causal judgement casts doubt on the intuitive idea that causation is a purely natural relation, independent of human interests and values. Second, the so-called ‘causal modelling framework’—developed by computer scientists and statisticians as a formalism for discovering causal relations—has turned out to be a powerful and extremely fruitful method for representing causal systems. It has also been incorporated into the philosophy of causation as the basis of James Woodward’s influential interventionist (or manipulability) theory (Woodward 2003). The aim of this paper is to provide an introduction to these recent developments, to show how they are related, and to comment on their relevance to linguistics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    For an overview of existing theories of causation from two linguists’ perspective, see Copley & Wolff (2015).

  2. 2.

    For classic expositions of the process theory, see Salmon (1994) and Dowe (2000).

  3. 3.

    For the counterfactual theory, see Lewis (1986) and the papers in Collins et al. (2004). For examples of the probabilistic theory, see Eells (1991) and Salmon (1993).

  4. 4.

    For example Hall (2007a), Halpern & Pearl (2005), Hitchcock (2007a), McGrath (2005) and Menzies (2004, 2007, 2009).

  5. 5.

    These studies have been carried out in the fields of experimental philosophy and cognitive psychology. For example, see Alicke et al. (2011), Hitchcock & Knobe (2009), Knobe (2010), and Systma et al. (2012).

  6. 6.

    The phrase ‘Casper’s failure to water my plant’ refers to an omission—that is, the non-occurrence of an event, rather than the occurrence of an event. One of the advantages of the counterfactual approach to causation is that it allows that omissions can be causes, as does natural language (think of negligence, for example).

  7. 7.

    Hitchcock & Knobe frame their argument using the causal modelling framework, and their talk of ‘intervening’ is naturally associated with the formal notion of an intervention that has been developed within this framework and the associated interventionist theory. However, this is to some extent misleading: by ‘suitable targets of intervention’, they just mean those events that make sense for us to try to manipulate.

  8. 8.

    See for example Hitchcock (2007b) and Woodward (2011).

  9. 9.

    See Pearl (2000) and Spirtes et al. (2000).

  10. 10.

    For Woodward’s detailed characterisation of the notion of an intervention, see (2003, 98–99).

  11. 11.

    Notice that ‘intervention’ is itself a causal notion. This entails that interventionism is a non-reductive theory of causation—that is, it doesn’t attempt to reduce causal facts to facts about some non-causal phenomenon. Since Woodward doesn’t intend to provide a metaphysics of causation (see Sect. 14.5), this doesn’t create a problem.

  12. 12.

    This is not to say that causes and effects are not (generally) connected by a physical process, but just that according to interventionism, the existence of a particular kind of physical process is neither necessary nor sufficient for the existence of a causal relationship.

  13. 13.

    Causal models are further connected to (iii) in that each model encodes a set of counterfactuals. For example, we have seen that Fig. 14.1 asserts that there is a possible intervention on the amount of rainfall (R) that makes a difference to the river level (RL). This entails that there is a true counterfactual with the following form: if it were to rain x amount (rather than x′ amount), the river level would be y (rather than y′).

  14. 14.

    See also Hitchcock (2007a) and Hall (2007a). Note that the interventionist theory can also be used to give an account of the other kinds of causal claims listed in Table 14.1. See Statham (2017).

  15. 15.

    The default values are the values that the variable normally takes (i.e. those that it takes in the normal course of evolution).

  16. 16.

    Adapted from Menzies (2009, 360).

  17. 17.

    Menzies expresses his account more formally as follows:

    A value of a variable X makes a difference to the value of another variable Y in a default causal model if and only if plugging in the default values of the variables in the structural equations yields X = x and Y = y and there exist actual values x′ ≠  x and y′ ≠  y such that the result of replacing the equation for X with X = x′ yields Y = y′ (2007, 208, italics in the original).

  18. 18.

    Perhaps over a particular period of time: the average rainfall for June, say.

  19. 19.

    The philosophers’ term ‘causal claim’ is ambiguous between an actual piece of causal discourse—that is, a causal locution—and an abstract causal statement, independent of any actual utterance. In this section I have disambiguated by referring to the former as a causal locution, and only the latter as a causal claim.

  20. 20.

    Philosophers of causation working within the counterfactual (Lewis 1986; Collins et al. 2004), agency (Menzies & Price 1993), regularity (Paul & Hall 2013), and process theories (Salmon 1994; Dowe 2000) all take themselves to be doing metaphysics.

  21. 21.

    Woodward himself describes his project as ‘semantic or interpretive’ (2003, 38).

  22. 22.

    For a defence of the claim that interventionism should be seen a methodological project, see Woodward (2014, 2015). Roughly, he argues that the methodological questions he wants to answer are largely independent of metaphysical considerations, and that interventionism is consistent with a range of different positions in the metaphysics of causation (2008, 194), between which he has no interest in adjudicating.

  23. 23.

    See for example Hitchcock (2007a) and Woodward (2016).

  24. 24.

    The notion of ‘event’ that is used in the philosophy of causation is generally accepted to include states of affairs.

  25. 25.

    For a good introduction to this problem, see Hall (2007b).

  26. 26.

    There are, however, non-metaphysical restrictions on the choice of variables. See Hitchcock (2007a, 520–503).

  27. 27.

    In the paper cited above, Woodward considers the interrelated notions of stability, level of description, and specificity, which are used to distinguish different (kinds of) causal relationships.

  28. 28.

    Others, for example Hall (2004) and Hitchcock (2007b,c), have also argued that there are important distinctions between different causal concepts.

  29. 29.

    Much recent work in the cognitive psychology of causal inference also assumes that causal inference requires that we are able to represent a network of directed relations between variables. For an overview, see Lagnado (2011).

  30. 30.

    Copley & Wolff discuss this issue; see (2015).

References

  • Alicke, M. D., Rose, D., & Bloom, D. (2011). Causation, norm violation, and culpable control. Journal of Philosophy, 108, 670–696.

    Article  Google Scholar 

  • Collins, J., Hall, N., & Paul, L. A. (Eds.) (2004). Causation and counterfactuals. Cambridge: MIT Press.

    Google Scholar 

  • Copley, B., & Wolff, P. (2015). Theories of causation should inform linguistic theory and vice versa. In B. Copley & F. Martin (Eds.), Causation in grammatical structures (pp. 11–57). Oxford: Oxford University Press.

    Google Scholar 

  • Dowe, P. (2000). Physical causation. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Eells, E. (1991). Probabilistic causality. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Hall, N. (2004). Two concepts of causation. In J. Collins, N. Hall, & L. A. Paul (Eds.), Causation and counterfactuals (pp. 225–276). Cambridge: MIT Press.

    Google Scholar 

  • Hall, N. (2007a). Structural equations and causation. Philosophical Studies, 132, 109–136.

    Article  Google Scholar 

  • Hall, N. (2007b). Causation. In F. Jackson & M. Smith (Eds.), The Oxford handbook of contemporary philosophy (pp. 507–533). Oxford: Oxford University Press.

    Google Scholar 

  • Halpern, J. Y., & Pearl, J. (2005). Causes and explanations: A structural-model approach. Part 1: Causes. British Journal for the Philosophy of Science, 56: 843–887.

    Article  Google Scholar 

  • Hart, H. L. A., & Honoré, T. (1959). Causation in the law. Oxford: Clarendon Press.

    Google Scholar 

  • Hitchcock, C. (2007a). Prevention, preemption, and the principle of sufficient reason. Philosophical Review, 116, 495–532.

    Article  Google Scholar 

  • Hitchcock, C. (2007b). Three concepts of causation. Philosophy Compass, 2, 508–516.

    Article  Google Scholar 

  • Hitchcock, C. (2007c). On the importance of causal taxonomy. In A. Gopnik & L. Schulz (Eds.), Causal learning: Psychology, philosophy, and computation (pp. 101–114). Oxford: Oxford University Press.

    Chapter  Google Scholar 

  • Hitchcock, C., & Knobe, J. (2009). Cause and norm. Journal of Philosophy, 106, 587–612.

    Article  Google Scholar 

  • Knobe, J. (2010). Person as scientist, person as moralist. Behavioral and Brain Sciences, 33, 315–329.

    Article  Google Scholar 

  • Lagnado, D. (2011). Causal thinking. In P. M. Illari, F. Russo, & J. Williamson (Eds.), Causality in the sciences (pp. 129–149). Oxford: Oxford University Press.

    Chapter  Google Scholar 

  • Lewis, D. (1986). Causation. In Philosophical papers (Vol. 2, pp. 159–213). Oxford: Oxford University Press.

    Google Scholar 

  • McGrath, S. (2005). Causation by omission: A dilemma. Philosophical Studies, 123, 125–148.

    Article  Google Scholar 

  • Menzies, P. (2004). Difference-making in context. In J. Collins, N. Hall, & L. A. Paul (Eds.), Causation and counterfactuals (pp. 139–180). Cambridge: MIT Press.

    Google Scholar 

  • Menzies, P. (2007). Causation in context. In H. Price & R. Corry (Eds.), Causation, physics, and the constitution of reality (pp. 191–223). Oxford: Clarendon Press.

    Google Scholar 

  • Menzies, P. (2009). Platitudes and counterexamples. In H. Beebee, C. Hitchcock, & P. Menzies (Eds.), The Oxford handbook of causation (pp. 341–367). Oxford: Oxford University Press.

    Google Scholar 

  • Menzies, P., & Price, H. (1993). Causation as a secondary quality. British Journal for the Philosophy of Science, 44, 187–203.

    Article  Google Scholar 

  • Paul, L. A., & Hall, N. (2013). Causation: A user’s guide. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Pearl, J. (2000). Causality: Models, reasoning, and inference. Cambridge: Cambridge University Press.

    Google Scholar 

  • Salmon, W. C. (1993). Probabilistic causality. In E. Sosa & M. Tooley (Eds.), Causation (pp. 137–153). Oxford: Oxford University Press.

    Google Scholar 

  • Salmon, W. C. (1994). Causation without counterfactuals. Philosophy of Science, 61, 297–312.

    Article  Google Scholar 

  • Spirtes, P., Glymour, C., & Scheines, R. (2000). Causation, prediction, and search. Cambridge: MIT Press.

    Google Scholar 

  • Statham, G. (2017). Contrastive causal claims: A case study. British Journal for the Philosophy of Science, 68, 663–688.

    Article  Google Scholar 

  • Systma, J., Livengood, J., & Rose, D. (2012). Two types of typicality: Rethinking the role of statistical typicality in ordinary causal attributions. Studies in History and Philosophy of Science Part C, 43, 814–820.

    Article  Google Scholar 

  • Woodward, J. (2003). Making things happen: A theory of causal explanation. Oxford: Oxford University Press.

    Google Scholar 

  • Woodward, J. (2008). Response to Strevens. Philosophy and Phenomenological Research, 77, 193–212.

    Article  Google Scholar 

  • Woodward, J. (2010). Causation in biology: Stability, specificity, and the choice of levels of explanation. Biology and Philosophy, 25, 287–318.

    Article  Google Scholar 

  • Woodward, J. (2011). Psychological studies of causal and counterfactual reasoning. In C. Hoerl, T. McCormack, & S. R. Beck (Eds.), Understanding counterfactuals, understanding causation (pp. 16–53). Oxford: Oxford University Press.

    Google Scholar 

  • Woodward, J. (2014). A functional account of causation. Philosophy of Science, 81, 691–713.

    Article  Google Scholar 

  • Woodward, J. (2015). Methodology, ontology, and interventionism. Synthese, 192, 3577–3599.

    Article  Google Scholar 

  • Woodward, J. (2016). The problem of variable choice. Synthese, 193, 1047–1072.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Statham, G. (2020). Causes as Deviations from the Normal: Recent Advances in the Philosophy of Causation. In: Bar-Asher Siegal, E., Boneh, N. (eds) Perspectives on Causation. Jerusalem Studies in Philosophy and History of Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34308-8_14

Download citation

Publish with us

Policies and ethics