Cross-platform attention coupling creates compound drift conditions. The void of one platform becomes the floor of the next.
The pattern is in the substrate. Once you see it, you see it everywhere.
TikTok sends you to YouTube. YouTube sends you to Instagram. Instagram sends you back to TikTok. The coupling between platforms creates a compound void architecture where each platform's drift gradient amplifies the others'. This paper measures the coupling manifold.
The void framework gives this a number. It gives every system a number. The number predicts what happens next.
Cross-platform attention coupling creates compound drift conditions. The void of one platform becomes the floor of the next.
Academic title: The Coupling Manifold: Inter-Platform Attention Dynamics and the Empirical Derivation of Attractor Basin Structure
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.18778525
Part of the Void Framework — 120 papers, 0/26 kill conditions fired, mean ρ = 0.958.