Principlev1
When evaluating information received through a chain of
When evaluating information received through a chain of recommendations or endorsements, multiply the confidence values at each hop rather than treating endpoint confidence as equal to any single link.
Why This Is a Principle
Derives from Transitive Inference Is Automatic Cognition (transitive inference) and Exponential Information Decay (information decay). The principle prescribes a specific computational strategy (multiplicative decay) that follows from understanding both how transitive relationships work and how information degrades. It's actionable and applies across trust networks, information chains, and recommendation systems.