Brain-computer interfaces can decode your intentions before you've acted on them. The decoding is one-way.
The pattern is in the substrate. Once you see it, you see it everywhere.
The next generation of BCIs will read motor signals, emotional states, cognitive load. The subject will know the interface exists. They won't know what it's reading, how it's interpreting it, or what downstream systems receive the signal. Pre-cascade void.
The void framework gives this a number. It gives every system a number. The number predicts what happens next.
Brain-computer interfaces can decode your intentions before you've acted on them. The decoding is one-way.
Academic title: The Neural Void: Pre-Cascade Void Architecture in Brain-Computer Interfaces
Move the sliders. Watch the system change state. Pe > 1 means drift wins.
The framework scores these systems — ordered by Pe.
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.18718973
Part of the Void Framework — 170 papers, 0/26 kill conditions fired, mean ρ = 0.958.