Real estate is information asymmetry at the largest purchase of your life. Prop tech hasn't fixed that.
The pattern is in the substrate. Once you see it, you see it everywhere.
The seller knows the house's history. The algorithm knows the neighborhood's comparable sales. The buyer knows what they want. The listing is the only place these meet — and it's the seller's document. This paper maps the void architecture of real property information.
The void framework gives this a number. It gives every system a number. The number predicts what happens next.
Real estate is information asymmetry at the largest purchase of your life. Prop tech hasn't fixed that.
Academic title: The Listing Lock: Void Architecture in Real Estate and PropTech Platforms
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.18718987
Part of the Void Framework — 170 papers, 0/26 kill conditions fired, mean ρ = 0.958.