Exponential change-time distributions require logarithmically expanding bins for equal trial counts.

Evidence

Since change times were distributed continuously but with an exponential distribution, the set of change times was binned with approximately exponentially increasing bin size (in order to achieve comparable numbers of trials in each bin). To control for inattentive subjects, we set a 35 % threshold for the total false alarm rate. Two subjects were discarded according to this criterion leaving a total of 10 subjects for the data analysis, with false alarm rates around 25 %. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3311

Categorization

• QUESTION: Why use an exponential distribution of change times rather than uniform? Presumably to weight early changes more heavily, but the rationale is implied not stated.