 For example, consider the use of quality-adjusted life years (QALYs) to assess the prospective benefits of health care interventions. The standard method of “quality adjustment” involves (i) assigning a value of 1 to each life-year one can reasonably expect to save through a given intervention, and (ii) discounting each life-year that would be lived by a person with a disability by some coefficient (between 0 and 1) which is thought to reflect the badness of living with the disability in question. These coefficients are typically arrived at by asking people how many years of life with the disability people would be willing to exchange for each year of life without the disability. For example, suppose survey data indicate that people would trade 8 years of life with blindness for 4 years of life with sight. The method of quality-adjustment would assign a QALY of 0.5 to each year of life lived with blindness. The upshot is that saving nondisabled life-years provides more “bang for your buck” in the QALY model, and as such is to be preferred to saving disabled life-years.