 In following this procedure, chemists do more than simply falsify: they add confirmatory power to the mechanisms that haven’t been eliminated. Indeed, in discussing similar issues, biochemist John Platt (1964) argued that good scientific inference is strong inference, whereby the goal in an experiment is to eliminate one or more hypotheses. Several contemporary philosophers have endorsed the role of eliminative induction in science (e.g., Bird 2010, Dorling 1995, Kitcher 1993, Norton 1995). It is easy to see how it can be modeled in Bayesian and other quantitative frameworks for confirmation. Specifically, as particular candidate reaction mechanisms are eliminated, the probability that one of the remaining mechanisms is correct goes up (see Earman 1992 for details).