Solving Rule-Consequentialism's Acceptance Rate Problem

Abstract

Recent formulations of rule-consequentialism (RC) have attempted to select the ideal moral code based on realistic assumptions of imperfect acceptance. But this introduces further problems. What assumptions about acceptance would be realistic? And what criterion should we use to identify the ideal code? The solutions suggested in the recent literature – Fixed Rate RC, Variable Rate RC, Optimum Rate RC and Maximizing Expectation Rate RC – all calculate a code's value using formulas that stipulate some uniform rate(s) of acceptance. After pointing out a number of difficulties with these approaches, I introduce a formulation of RC on which non-uniform acceptance rates are calculated rather than stipulated. In addition to making more realistic assumptions about acceptance rates, Calculated Rates RC has several other advantages: it gives equal consideration to both acceptance and compliance rates and it brings RC more in line with our intuitive ways of thinking about rules and their consequences.