In philosophy of science, strong inference is a model of scientific inquiry that emphasizes the need for alternative hypotheses, rather than a single hypothesis to avoid confirmation bias.
The term "strong inference" was coined by John R. Platt, a biophysicist at the University of Chicago. Platt notes that some fields, such as molecular biology and high-energy physics, seem to adhere strongly to strong inference, with very beneficial results for the rate of progress in those fields.
The problem with single hypotheses, confirmation bias, was aptly described by Thomas Chrowder Chamberlin in 1897:
The temptation to misinterpret results that contradict the desired hypothesis is probably irresistible.
Despite the admonitions of Platt, reviewers of grant-applications often require "A Hypothesis" as part of the proposal (note the singular). Peer-review of research can help avoid the mistakes of single-hypotheses, but only so long as the reviewers are not in the thrall of the same hypothesis. If there is a shared enthrallment among the reviewers in a commonly believed hypothesis, then innovation becomes difficult because alternative hypotheses are not seriously considered, and sometimes not even permitted.
The method, very similar to the scientific method, is described as:
A number of limitations of strong inference have been identified.
The limitations of Strong-Inference can be corrected by having two preceding phases:
These phases create the critical seed observation(s) upon which one can base alternative hypotheses.