In recent decades, the analysis of causal relations has become a topic of central importance in analytic philosophy. More recently, dispositional properties have also become objects of intense study. Both of these phenomena appear to be intimately related to counterfactual conditionals and other modal phenomena such as objective chance, but little work has been done to directly relate them. Dispositions and Causes contains ten essays by scholars working in both metaphysics and in philosophy of science, examining the relation between dispositional and causal concepts.
Particular issues discussed include the possibility of reducing dispositions to causes, and vice versa; the possibility of a nominalist theory of causal powers; the attempt to reduce all metaphysical necessity to dispositional properties; the relationship between dispositions, causes, and laws of nature; the role of causal capacities in explaining the success of scientific inquiry; the grounding of dispositions and causes in objective chances; and the type of causal power required for free agency.
The introductory chapter contains a detailed overview of recent work in the area, providing a helpful entry to the literature for non-specialists.

It is a commonplace that scientific inquiry makes extensive use of probabilities, many of which seem to be objective chances, describing features of reality that are independent of our minds. Such chances appear to have a number of paradoxical or puzzling features: they appear to be mind-independent facts, but they are intimately connected with rational psychology; they display a temporal asymmetry, but they are supposed to be grounded in physical laws that are time-symmetric; and chances are used to explain and predict frequencies of events, although they cannot be reduced to those frequencies. This book offers an accessible and non-technical introduction to these and other puzzles. Toby Handfield engages with traditional metaphysics and philosophy of science, drawing upon recent work in the foundations of quantum mechanics and thermodynamics to provide a novel account of objective probability that is empirically informed without requiring specialist scientific knowledge.