agreement between independent descriptions of the same thing

in the cybergraph, consistency means: when two neurons link the same particle, their signals either reinforce each other (increasing cyberank) or contradict (diluting focus across competing claims). the tri-kernel resolves every contradiction into a single collective focus distribution — no ambiguity survives convergence

why consistency is inevitable

three forces make inconsistency unsustainable:

costly signal: every cyberlink costs focus. maintaining a false claim burns finite resources against a graph that will eventually down-rank it. truth is cheap to maintain, lies are expensive

bayesian truth serum: rewards predictions that match the crowd's private distribution. neurons who report honestly earn karma, neurons who distort lose it. honesty is the dominant strategy

contraction mapping: the tri-kernel is a proven contraction (κ < 1). regardless of initial state, the graph converges to a unique fixed point π*. inconsistent signals get absorbed into the equilibrium — they shift it slightly but cannot prevent convergence

the result: consistency across the cybergraph is a nash equilibrium maintained by game theory, computed by mathematics, and enforced by economics

see consensus for the process that produces consistency. see collective focus theorem for the convergence proof

Local Graph