A de minimis risk is defined as a risk that is so small that it may be legitimately ignored when making a decision. While ignoring small risks is common in our day-to-day decision making, attempts to introduce the notion of a de minimis risk into the framework of decision theory have run up against a series of well-known difficulties. In this paper, I will develop an enriched decision theoretic framework that is capable of overcoming two major obstacles to the modelling (...) of de minimis risk. The key move is to introduce, into decision theory, a non-probabilistic conception of risk known as normic risk. (shrink)

Tom Dougherty (2013) argues that the following moral principles are inconsistent: (α) it is impermissible to benefit many people slightly rather than save someone’s life, and (β) it is permissible to risk someone’s life slightly to benefit them slightly. This inconsistency has highly counterintuitive consequences for non-consequentialist moral theories. However, Dougherty’s argument, the “Repetition Argument,” relies on a premise that ignores a morally important distinction between acting with statistical knowledge and acting with individualized knowledge. According to this premise, if it (...) is permissible to make it near certain that a distribution obtains, then it is permissible to bring about that distribution. I will argue that this premise proves too much for the Repetition Argument, and so we should reject it. Finally, to further motivate my own objection, I show that a recent objection to the Repetition Argument by James R. Kirkpatrick (2018) does not resolve the inconsistency. (shrink)