Journal of Moral Philosophy 6 (2009) 166–177 © Koninklijke Brill NV, Leiden, 2009 DOI 10.1163/174552409X402331 brill.nl/jmp JOURNAL OF MORAL PHILOSOPHY Th e Mixed Solution to the Number Problem Martin Peterson Division of Philosophy, Royal Institute of Technology, Teknikringen 78, 100 44 Stockholm, Sweden firstname.lastname@example.org Abstract You must either save a group of m people or a group of n people. If there are no morally relevant diﬀ erences among the people, which group should you save? Th is problem is known as the number problem. Th e recent discussion has focussed on three proposals: (i) Save the greatest number of people, (ii) Toss a fair coin, or (iii) Set up a weighted lottery, in which the probability of saving m people is m / m + n , and the probability of saving n people is n / m + n . Th is contribution examines a fourth alternative, the mixed solution, according to which both fairness and the total number of people saved count. It is shown that the mixed solution can be defended without assuming the possibility of interpersonal comparisons of value. Keywords aggregation; consequentialism; fairness; number problem 1. Introduction Suppose you face a choice between
Journal of Moral Philosophy – Brill
Published: Jan 1, 2009
Keywords: AGGREGATION; CONSEQUENTIALISM; FAIRNESS; NUMBER PROBLEM
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