Informativity Institute · Press release archive

MQ evidence audit separates derivations, comparisons, and predictions

The current record rejects a single global significance number for results with different assumptions and shared inputs.

· Recorded source-audit snapshot · Retrospective release

CHICAGO — A Measurement Quantization evidence audit distinguishes theoretical derivations, internal consistency checks, retrospective comparisons and prospective predictions. The classification identifies what each result can establish and where multiple results share calibration or observational information. It is the research program’s own evidence classification, not a new experiment or an independent certification of the framework.

Several MQ results use common physical constants, cosmological normalization or overlapping galaxy data. Repeated agreement across outputs that share those foundations does not automatically supply independent evidence. Figure 1 summarizes the distinction between consistency, external comparison and the boundary on combining results.

Internal consistencyRelated outputs can test algebraic closure while retaining the same calibration
External comparisonA new target tests a prediction, subject to its source, timing and uncertainty model
Combined-evidence limitShared inputs and reused observations prevent a simple global MQ significance
Figure 1. Different evidentiary roles, not a numerical scoring scale. No global probability follows from counting equations, comparisons or successful analyses.

A target can be external to a derivation without every comparison being statistically independent. The audit classifies a CMB temperature calculation using a CMB-informed age as cross-scale closure. It treats the two frame-resolved Hubble comparisons as sharing the same scalar, age normalization and mapping structure. Neither example supplies two independent confirmations merely because it has multiple outputs.

Galaxy tests make the distinction tangible. A stellar-mass substitution can expose source sensitivity while reusing the same SPARC velocities. A separate LITTLE THINGS population provides a different target population, yet still uses the same MQ law and upstream normalization. The 99 high-quality SPARC galaxies are a subset of the 175-galaxy catalog, not a second independent survey.

Statistics also answer different questions. A speed residual, a goodness-of-fit probability, a likelihood ratio and an information criterion cannot be used as interchangeable scores. In the gravitational-constant comparison, testing a fixed MQ mode gap against exact zero is different from fitting an arbitrary nonzero gap. Agreement with the fixed value does not uniquely identify its physical cause.

Timing remains part of the evidence. MQ’s numerical gravitational realizations predate the 2026 NIST result, while assigning the particular free-deflection and electrostatic-servo modes to those realizations was retrospective. An earlier broad statement and a later apparatus-specific interpretation must retain their separate dates and scope.

The audit does not assign a universal probability or discovery significance to the combined MQ portfolio. A defensible synthesis would require explicit hypotheses, a joint treatment of dependencies and uncertainty, and a record of which choices were made before target inspection. Posterior odds would additionally require stated priors and alternatives.

The companion Brief provides the classification table, a shared-input diagram, numerical galaxy examples and a worked fixed-target likelihood comparison. It also identifies prospective tests that must not be counted as completed confirmations.

MQ EVIDENCE AUDIT · JOURNALIST BRIEF

Evidence categories, shared-input dependencies, statistical definitions, worked comparisons and the distinction between a prospective test and a completed result.

Read the full technical Brief →

Research sources

Galactic MQ research preprint, Appendix E: evidentiary classification · J. A. Geiger · Current manuscript source. Completed-source milestone September 8, 2026, with later revisions; journal publication of this version is not established.

Predictions and test status · Gravitational-constant statistical comparison · American Statistical Association interpretation guidance. The statistical guidance is general methodology, not an assessment or endorsement of MQ.

Archive date and research status

September 27, 2026 identifies the archive’s recorded source-audit snapshot. It is not an established discovery, first-announcement or journal-publication date. This release and its Brief were prepared or revised October 26, 2026. The audit organizes existing theory and comparisons; no new experiment, survey replication or portfolio-wide likelihood is reported.

About the Informativity Institute

The Informativity Institute presents the Measurement Quantization research program and its publications. MQ investigates the relationship between discrete count structure and physical measurement. Individual results should be assessed through their stated assumptions, sources and observational tests.

Media contact

Hoyt Hudson · Informativity Institute
HoytHudson@informativity.org
Media contact page · Research publications

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