Cancer progression follows the drift cascade: D1 checkpoint escape, D2 immune evasion, D3 metastatic cascade.
Cancer isn't random. It follows a sequence — and the sequence is predictable.
A healthy cell operates under constraint: transparent DNA repair, invariant checkpoint genes (p53, Rb), independent immune surveillance. Cancer disables these in order. First, a mutation escapes the checkpoint — the cell hides its damage (opacity). Then, the tumor adapts to immune pressure — it learns to evade T-cells in real time (responsiveness). Finally, metastasis — the tumor hijacks the body's blood supply and colonizes distant organs (coupling captured).
That sequence — D1 checkpoint escape, D2 immune evasion, D3 metastatic cascade — is the same drift cascade the framework measures in AI systems, gambling platforms, and cryptocurrency markets. The biology confirms the physics. A glioblastoma scores 9/9 on the void index. Hodgkin lymphoma scores 3/9. The five-year survival rate correlates with the score at ρ = 0.84, p = 0.002.
The immune system is the constraint architecture. When it works, the body stays healthy. When the tumor disables it — opacity, responsiveness, coupling — the cascade runs exactly as the math predicts.
The five-year survival rate correlates with void index score at ρ = 0.84, p = 0.002. The immune system is the constraint. Cancer is what happens when it fails.
Academic title: The Cancer Void: Tumor Progression as D1→D2→D3 Cascade and the Fantasia Bound in Molecular Immunology
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.18737180
Part of the Void Framework — 170 papers, 0/26 kill conditions fired, mean ρ = 0.958.