Computing Consequences
Computing Consequences constitutes the second phase of Richard Feynman’s three-step scientific method, acting as the essential logical bridge between the formulation of a hypothesis and the comparison of results with nature. In this stage, the scientist translates a qualitative theoretical guess into precise, quantitative predictions through rigorous mathematical and logical deduction. This process ensures that the proposed theory is not merely a narrative but a coherent framework capable of generating specific, testable outcomes.
The primary function of this step is to determine what observable phenomena should occur if the initial hypothesis is correct. By applying established physical laws and mathematical formalisms to the new assumption, researchers derive explicit consequences that can be measured or observed. This translation from abstract concept to concrete prediction is critical, as it defines the criteria by which the theory will eventually be validated or falsified.
Without this computational phase, a scientific hypothesis remains untestable and lacks predictive power. It forces the theorist to confront the internal consistency of their ideas and to identify the specific experimental conditions required for verification. Consequently, this step distinguishes scientific inquiry from mere speculation by demanding that every theoretical claim be accompanied by a clear, calculable path to empirical confirmation.