There are many objections to statistical discrimination in general and racial profiling in particular. One objection appeals to the idea that people have a right to be treated as individuals. Statistical discrimination violates this right because, presumably, it involves treating people simply on the basis of statistical facts about groups to which they belong while ignoring non-statistical evidence about them. While there is something to this objection—there are objectionable ways of treating others that seem aptly described as failing to treat (...) them as individuals—it needs to be articulated carefully. First, most people accept that many forms of statistical discrimination are morally unproblematic, let alone morally justified all things considered. Second, even treating people on the basis of putative non-statistical evidence relies on generalizations. Once we construe treating someone as an individual in a way that respects this fact, it becomes apparent: (1) that statistical discrimination is compatible with treating people as individuals, and (2) that one may fail to treat people as individuals even without engaging in statistical discrimination. Finally, there are situations involving the expression of messages of inclusion where we think it is good, morally speaking, that we are not treated as individuals. (shrink)

I defend the thesis that legal standards of proof are reducible to thresholds of probability. Many reject this thesis because it appears to permit finding defendants liable solely on the basis of statistical evidence. To the contrary, I argue – by combining Thomson's (1986) causal analysis of legal evidence with formal methods of causal inference – that legal standards of proof can be reduced to probabilities, but that deriving these probabilities involves more than just statistics.

Journal of Political Philosophy, EarlyView.

I will discuss the relationship between two different accounts of remedial duty ascriptions. According to one account, the beneficiary account, individuals who benefit innocently from injustices ought to bear remedial responsibilities towards the victims of these injustices. According to another account, the causal account, individuals who caused injustices ought to bear remedial duties towards the victim. In this paper, I examine the relation between the principles central to these accounts: the Beneficiary Pays Principle and the well-established principle of Strict Liability (...) in law. I argue that both principles display a strong yet unexplored similarity as they make certain kinds of causal connection sufficient for incurring liability. Because of this similarity, I suggest that insights into the Beneficiary Pays Principle can be gained from exploring its relation with Strict Liability. In particular, I examine two new positive arguments that could be adapted to support of the Beneficiary Pays Principle: the Minimising Injustice Argument and the Normative Connection Argument. However, I’ll show that only one of those arguments, namely the Normative Connection Argument, can truly support the Beneficiary Pays Principle. I conclude that, if you endorse the Normative Connection Argument for Strict Liability, you have at least a strong prima facie reason to endorse the parallel argument for the Beneficiary Pays Principle. (shrink)