Spoiler alert: there is no happy ending here. Often a blog post or article will talk about some inspiration gained from outside of testing which was applied successfully to the author's testing and yielded useful results. Those are great posts to read ... but this isn't one of them. This one starts with inspiration from outside of testing followed by research, discussion, criticism and thought experiment but ultimately no application. The yield here is the documentation of all of that. Hopefully it's useful and still a good read. What was the inspiration? I've long had the notion - sadly dormant and largely sidelined - that I'd like to look into the use of statistics in testing. (One of my earliest posts here was on entropy .) As testers we talk a lot about such things as the scientific method and about data, about running experiments, about crafting experiments such that they generate usable and valuable data, about making decisions on where to test next ...