Journal of Moral Philosophy 6 (2):166-177 (2009)

Authors
Martin Peterson
Texas A&M University
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? is problem is known as the number problem. 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 . 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
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DOI 10.1163/174552409X402331
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References found in this work BETA

Kamm on Fairness. [REVIEW]John Broome - 1998 - Philosophy and Phenomenological Research 58 (4):955.
Aggregation and Numbers.Iawo Hirose - 2004 - Utilitas 16 (1):62-79.

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Citations of this work BETA

Some Versions of the Number Problem Have No Solution.Martin Peterson - 2010 - Ethical Theory and Moral Practice 13 (4):439-451.
Saving Lives: For the Best Outcome?Xueshi Wang - forthcoming - Philosophia:1-15.

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