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Inferred Void Score

The Inferred Score: Bayesian Posterior Inference Over Void Dimensions from Behavioral Observables

Opacity3/3███
Responsiveness2/3██░
Coupling2/3██░
Void Index9/12Phase IV (commercial-cert)
Péclet NumberPe=5.1Phase IV

The Inferred Score: Bayesian Posterior Inference Over Void Dimensions from Behavioral Observables

Paper 46 — Inferred Void Score · v1.0 · February 2026

Introduces a Bayesian inference framework for recovering void dimension scores (O, R, α) from platform behavioral observables — click traces, content diversity, session-length distributions — without requiring human rater panels. The Eckert Manifold provides the energy landscape; Gibbs sampling navigates it. The result is a continuous posterior over (O, R, α) that makes the void framework operational as an automated monitoring product and provides the theoretical basis for the EU Scorer API.

Platform Scores — Bayesian Void Scoring Methodology

Void index across 5 platforms, scored on the three-dimension framework (0–12).

Platform Score Void Load
Academic (open priors, pre-reg) 2/12
Regulatory advisory 5/12
Commercial certification 9/12
Goodhart-mode (gameable) 11/12
Open-spec constraint pole 1/12

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Complete methodology, empirical data, falsifiable predictions, and kill conditions.

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Paper 46 · v1.0 · February 2026 · CC-BY 4.0 · 10.5281/zenodo.18740174