This paper argues that the traditional Arrow-Pratt measures of risk aversion are generally too weak for making comparisons between risky situations. A new stronger ordering is proposed, and it is applied to some canonical problems in insurance and finance, for which the Arrow-Pratt measures give ambiguous results.