Toby Handfield

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. This collection contains ten essays by scholars working in both metaphysics and in philosophy of science, examining the relation between dispositional and causal concepts.

ABSTRACT The rise of social media has correlated with an increase in political polarization, which many perceive as a threat to public discourse and democratic governance. This paper presents a framework, drawing on social epistemology and the economic theory of public goods, to explain how social media can contribute to polarization, making us collectively poorer, even while it provides a preferable media experience for individual consumers. Collective knowledge and consensus is best served by having richly connected networks that are epistemically integrated: individuals with diverse levels of expertise should be relatively well connected to each other. In epistemically segregated networks, by contrast, we have reason to predict collective epistemic failures. Expert knowledge will be isolated from the majority, leading average opinion to be less informed than is socially optimal, and entrenching disagreements. Because social media enables users to very easily adopt homophilous network connections – connections to those with similar opinions, education levels, and social backgrounds – it is likely to have increased epistemic segregation compared to older media platforms. The paper explains the theoretical foundations of these predictions, and sketches regulatory measures – such as taxes – that might be employed to preserve the public good of a well integrated social media network.

This chapter argues that, because humanitarian intervention typically involves the military of one state attempting to overthrow another state ’s government, it gives rise to different moral questions from simple cases of interpersonal defensive violence. State sovereignty not only protects institutions within a society that contribute to the satisfaction of individuals’ interests and that cannot be easily restored once overthrown; it also plays a role in the constitution of those interests, which cannot be assumed to be invariant across different forms of social life. As a result, humanitarian intervention will frequently give rise to incommensurability between the pre-intervention and post-intervention states of affairs. The reasons against violating sovereignty, together with reasons for conservativism in action that arise in circumstances of incommensurable value, mean that the threshold for the moral permissibility of humanitarian intervention is high. The chapter concludes by outlining how humanitarian intervention might be internationalized, making it easier to justify

We present a probabilistic extension to active path analyses of token causation. The extension uses the generalized notion of intervention presented in : we allow an intervention to set any probability distribution over the intervention variables, not just a single value. The resulting account can handle a wide range of examples. We do not claim the account is complete --- only that it fills an obvious gap in previous active-path approaches. It still succumbs to recent counterexamples by Hiddleston, because it does not explicitly consider causal processes. We claim three benefits: a detailed comparison of three active-path approaches, a probabilistic extension for each, and an algorithmic formulation.

Should the norms of honor cultures be classified as a variety of morality? In this paper, we address this question by considering various empirical bases on which norms can be taxonomically organised. This question is of interest both as an exercise in philosophy of social science, and for its potential implications in meta-ethical debates. Using recent data from anthropology and evolutionary game theory, we argue that the most productive classification emphasizes the strategic role that moral norms play in generating assurance and stabilizing cooperation. Because honor norms have a similar functional role, this account entails honor norms are indeed a variety of moral norm. We also propose an explanation of why honor norms occur in a relatively unified, phenotypically distinctive cluster, thereby explaining why it is tempting to regard them as taxonomically distinct.

We present a theory of honor violence as a form of costly signaling. Two types of honor violence are identified: revenge and purification. Both types are amenable to a signaling analysis whereby the violent behavior is a signal that can be used by out-groups to draw inferences about the nature of the signaling group, thereby helping to solve perennial problems of social cooperation: deterrence and assurance. The analysis shows that apparently gratuitous acts of violence can be part of a system of norms that are Pareto superior to alternatives without such signals. For societies that lack mechanisms of governance to deter aggression or to enforce contracts, norms of honor can be a rational means of achieving these functions. The theory also suggests that cultures can become trapped in inefficient equilibria owing to path-dependent phenomena. In other words, costly signals of honor may continue to be sent even when they are no longer providing useful information.

This paper examines and contrasts two closely related evolutionary explanations in human behaviour: signalling theory, and the theory of Credibility Enhancing Displays. Both have been proposed to explain costly, dangerous, or otherwise ‘extravagant’ social behaviours, especially in the context of religious belief and practice, and each have spawned significant lines of empirical research. However, the relationship between these two theoretical frameworks is unclear, and research which engages both of them is largely absent. In this paper we seek to address this gap at the theoretical level, examining the core differences between the two approaches and prospects and conditions for future empirical testing. We clarify the dynamical and mechanistic bases of signalling and CREDs as explanatory models and contrast the previous uses to which they have been put in the human sciences. Because of idiosyncrasies regarding those uses, several commonly supposed differences and comparative advantages are actually misleading and not in fact generalisable. We also show that signalling and CREDs theories as explanatory models are not interchangeable, because of deep structural differences. As we illustrate, the proposed causal networks of each theory are distinct, with important differences in the endogeneity of various phenomena within each model and their explanatory targets. As a result, they can be seen as complementary rather than in competition. We conclude by surveying the current state of the literature and identifying the differential predictions which could underpin more comprehensive empirical comparison in future research.