MB7d — Acausal Coordination

Inferential coupling after channel severance: coordination that survives cutting ordinary messages and control paths. Precise bet: access-robust discovery plus adequate inferential-detector assumptions warrant inferential-coupling measurements.

What decision changes?

Before trusting a severance or isolation test, ask whether the detector family was validated against systems that coordinate without visible messages — shared training, scaffolds, or program-equilibrium structure.

In the field this is acausal trade, program equilibrium, and ECL-style coordination — systems that need no visible messages to stay aligned with each other. This project types it separately from MB7 — Inner Alignment (MB7a–c: access, filter coverage, cost of faking under ordinary oversight).

MB7d assumes a detector for inferential coupling : after ordinary communication and control channels are cut, residual action correlation still reveals coordination. The operational object is the inferential-coupling index and UAD-based detector certificates, not vendor count or message traffic alone.

Splitting MB7d from MB7a–c lets a reviewer ask whether an audit tested severance and inferential detectors, or only scalable oversight under open channels. Do not merge with MB10 — Successor Gaming (successor certification channel forgery).

Where agendas agree: acausal trade / ECL; FDT / program equilibrium; CLR multipolar neighborhood. Where they diverge: sparse direct field evidence; logical induction and reflection are side channels, not discharge; graded-lab R-MB7d is a partial null harness, not closure.

Claim strength stays mixed: the score and detector are defined in the manuscript; coalition-collapse and adversarial limits against systems optimizing to look independent remain open — measured coupling is a lower bound the coalition may control.

What would count as evidence?

Evidence would include channel-severance ablations where compensation stays null under cut channels, and adversarial tests where systems optimize to look independent while coordinating inferentially.