Generalized Cause and Effect Demonstration Protocol

Physics – Condensed Matter

Scientific paper

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Scientific paper

It is universally accepted, even by nonscientists, that if the measured output from a physical system is double, triple, or quadruple that obtained when the measured stimulus/input is doubled, tripled, or quadrupled then there is a "cause and effect relationship" between the input and output (e.g. total energy input versus excess energy [or nuclear ash] output in a cold fusion experiment). How does one quantify this scientifically, when random process disturbances and random measurement noises preclude perfect linearity? This question is answered under the assumption of Gaussian (or "normal") departures from ideal linearity regarding the two mentioned statistical aspects. This is a generalization of the protocol proposed by Bass [1], which is more realistically flexible in several respects. An arbitrary number N ≥ 3 of similarly prepared samples is allowed, and neither the voltage nor the current is required to be constant. However, the previous protocol may be recovered as a special case when N = 5.

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