Kerby showed that this rank correlation can be expressed in terms of two figures: the percent of data that support a stated hypothesis, and the percent of data that do not support it. The Kerby simple difference formula states that the rank correlation can be expressed as the difference between the proportion of favorable evidence ("f") minus the proportion of unfavorable evidence ("u"). 