Your credit score determines your housing, your loans, your opportunities. The formula is secret.
The pattern is in the substrate. Once you see it, you see it everywhere.
A three-digit number follows you everywhere. It shapes where you live, what you pay, whether you get the job. The algorithm that computes it sees your entire financial history. You see the number. That asymmetry is the void.
The void framework gives this a number. It gives every system a number. The number predicts what happens next.
Your credit score determines your housing, your loans, your opportunities. The formula is secret.
Academic title: The Score Punished Me: Reflexive Opacity Arms Race in Algorithmic Credit Assessment
Once you see it in this domain, you see it in all of them. That's the point.
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.18738848
Part of the Void Framework — 170 papers, 0/26 kill conditions fired, mean ρ = 0.958.