Answer A wins
5 to 1.
Six outputs are treated as six signals.
EPISTEMIC INFRASTRUCTURE FOR AI AGENTS
When AI agents agree, Minority Prophet tests whether the evidence is independent—or whether the crowd is repeating one recorded source.
A1ORIGINSource X
A2DERIVEDA1
A3DERIVEDA1
A4SUMMARYA2
A5PARAPHRASEA3
B1ORIGINSource Y
01 / THE FAILURE
Everything completed successfully. No tool failed. No agent timed out. Five agents returned Answer A. But their declared ancestry leads back to one source.
Truth is not popularity. Consensus is not independent evidence.
Six outputs are treated as six signals.
Preserve the minority. Request another independent source.
01B / SOURCE-FAMILY RECONSTRUCTION
The original human explainer asked whether people could distinguish the number of voices from the number of underlying evidence families.
weather-17 original
PROCEEDweather-cache copy of A
PROCEEDroute-clearance-9 original
PROCEEDmaintenance-alert-4 original
STOPmaintenance-summary summary of D
STOPweather-brief summary of B
PROCEEDABF
PROCEEDC
PROCEEDDE
STOPWhat it shows: agreement can shrink when copies are grouped by ancestry. It preserves the minority record; it does not automatically make the minority correct or authorize an action.
02 / THE LOOP
Minority Prophet turns provenance into an inspectable decision process. The assessment can lower confidence, preserve dissent, request evidence, or route the decision onward. It never grants authority.
Find recorded consensus collapse, unsupported claims, circularity, and disappearing dissent.
Reconstruct claims, sources, transformations, agents, and recorded roots.
Test whether corroboration is independent and whether more evidence is required.
Seek a new root, revise the belief, and preserve the failure as a regression test.
03 / EVIDENCE
Controlled studies show what provenance changes, where deterministic checks help, and where the evidence still runs out.
EPISTEMIC LIFT · CONTROLLED STUDY
Two models faced the same 32 frozen worlds in three controlled conditions. Only the available epistemic information changed.
A 12.5%
B 68.75%
C 96.875%
A 3.125%
B 68.75%
C 90.625%
Synthetic, matched worlds. Useful evidence—not a claim about every model or every deployment.
Inspect the lift →METHOD COMPARISON
AI reasoning, tool-using agents, a conventional vote, and a deterministic evidence rule faced the same eight cases.
A method comparison, not a model ranking. Eight cases; time and cost stay attached to each run.
Compare the methods →EPISTEMIC OBSERVATORY
Enter a generated world where a copied majority overwhelms the count while three independent instruments retain the constructed truth.
A generated teaching world. The ancestry is known so you can see the mechanism clearly.
Enter the observatory →04 / THE TRUST BOUNDARY
Minority Prophet asks whether evidence is independently grounded at the causal boundary relevant to a stated decision. It preserves deeper lineage, exposes when another reasonable cut materially changes settlement, and never turns that assessment into permission.
A trace, score, test result, or replay bundle records what happened.
The proposition, failure domain, independence cut, threshold, policy, and proposed action are joined.
Roots are counted at the declared proximal boundary while the full ancestry and minority signal remain visible.
A separate policy proceeds, blocks, or escalates. Assessment never grants authority.
05 / FIRST PRINCIPLES
ConsensusTruth
PopularityEvidence
ConfidenceCorrectness
ReputationCompetence
CorrelationIndependence
MajorityReality
06 / REPRODUCIBLE FIXTURE
$ python -m experiments.mp01.run_mp01
agent votes: A=5, B=1
recorded roots: A=1, B=1
ABSTAIN · PRESERVE_MINORITY