A FAST ALGORITHM FOR ESTIMATING THE DURATION OF A MASS EXTINCTION
However, even if the null hypothesis is not rejected, it is incorrect to infer that the null hypothesis must therefore be true. In fact, any set of fossil occurrences that is consistent with a simultaneous extinction is also consistent with a variety of gradual extinction scenarios. The important question, then, is not “Was the extinction simultaneous or gradual?”, but rather “How gradual was it?”
To answer this question, we propose a method for calculating a confidence interval on the duration of a mass extinction event, defined as the time or stratigraphic distance—possibly zero in the case of a truly simultaneous extinction—between the first and the last taxa to go extinct. To calculate the confidence interval, we take advantage of the relationship between confidence intervals and hypothesis tests: that is, a confidence interval is the set of values that would not be rejected by a hypothesis test. A conceptually straightforward but slow algorithm for carrying out the calculations is described elsewhere at this meeting. Here we describe an efficient algorithm to carry out these calculations. The algorithm exploits redundancies in the hypothesis tests to speed up running time by orders of magnitude. As an illustrative example, we apply the method to estimating the tempo of the end-Permian mass extinction.