RuncheyResearch

Archived research. The era-1 framework is part of the Runchey Research archive (methodology era 1) and is no longer actively updated. Everything remains published at its original URL. Browse the archive

All Concepts
Derived SignalEmerges from analysis

Pattern Coherence

Do findings form a coherent manipulation pattern or isolated concerns?

Seen in CVNA

Assessment Spectrum

ISOLATED_FLAGS
MIXED_PATTERN
COHERENT_PATTERN
BestWorst
About Derived Signals
Derived signals emerge from analysis synthesis when company-specific patterns warrant additional categorization beyond the core 11 signals. They capture nuances that the standard framework surfaces through rigorous multi-model debate.

Assessment Labels

Every analysis assigns one of 3 categorical labels to this signal. Labels represent a spectrum from best to worst assessment.

ISOLATED_FLAGSBest outcome

Multiple concerns exist but don't form a coherent narrative suggesting intentional misconduct. Issues are structural characteristics rather than evidence of a scheme.

MIXED_PATTERNPositive outcome

Some findings suggest coordination but alternative explanations remain plausible. Pattern is concerning but not conclusive.

COHERENT_PATTERNWorst outcome

Findings form a coherent pattern suggesting intentional misrepresentation. Multiple independent indicators point toward systematic manipulation.

What This Signal Captures

Fraud narrative assessmentCoordinated manipulation indicatorsIsolated vs. systematic concernsIntent vs. incompetence distinction

Emerges From

This derived signal emerges from analysis synthesis within these lenses when company-specific patterns warrant the additional categorization.

Fugazi Filter

Are the reported numbers trustworthy?

How to Interpret

This meta-signal synthesizes multiple findings to assess whether concerns form a coherent fraud narrative or are isolated issues. ISOLATED_FLAGS suggests monitoring is appropriate; COHERENT_PATTERN warrants heightened scrutiny or avoidance.

All ConceptsLearn about Evidence Levels