The Mixed Solution to the Number Problem

Author: Peterson, Martin

Source: Journal of Moral Philosophy, Volume 6, Number 2, 2009 , pp. 166-177(12)

Publisher: BRILL

Buy & download fulltext article:

OR

Price: $35.00 plus tax (Refund Policy)

Abstract:

You must either save a group of m people or a group of n people. If there are no morally relevant differences among the people, which group should you save? This problem is known as the number problem. The 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. This 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

Document Type: Research article

DOI: http://dx.doi.org/10.1163/174552409X402331

Publication date: 2009-03-01

Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page