The void framework applied to Phase Void.
The pattern is in the substrate. Once you see it, you see it everywhere.
Desert locusts (Schistocerca gregaria) exist in two discrete behavioral phases: solitary (Pe<1, low O/R/C) and gregarious (Pe>4, O=3/R=3/C=3). The phase transition is triggered by crowding-induced serotonin release — a neurochemical signal opaque to the individual. This is the fi
The void framework gives this a number. It gives every system a number. The number predicts what happens next.
The void framework applied to Phase Void.
Academic title: The Phase Void — Locust Swarm Transition as In Vivo Pe Boundary Crossing
Move the sliders. Watch the system change state. Pe > 1 means drift wins.
The correlation coefficient. The sample size. The p-value. The math doesn't care about the domain.
Paste any text — AI output, ad copy, a policy document. The scorer runs the same algorithm the framework uses.
Three variables. One ratio. Predicts drift across every domain where the conditions co-occur.
Pe = (O × R) / α
Where O is opacity (how hidden the mechanism is), R is reactivity (how strongly the system responds to you), and α is your independence (how free you are to disengage).
When Pe < 1: diffusion dominates. You can navigate freely. The system is coherent.
When Pe > 1: drift dominates. The system pulls you in a direction. Your agency is reduced.
When Pe >> V* (≈ 3): irreversible cascade. D1 → D2 → D3. The system has captured you.
The framework identifies this pattern in every domain where O, R, and α co-occur. It specifies 26 falsification conditions. 0 of 26 have fired.
Full derivation: 10.5281/zenodo.18839579
Part of the Void Framework — 145 papers, 0/26 kill conditions fired, mean ρ = 0.958.