Analysis and uncertainty

Analytical output should help a reviewer understand why something may deserve attention. It must not turn an anomaly into an accusation.

Explain the components

A significant analytical result should preserve the individual observations and derived signals that contributed to it. An unexplained number is not enough.

The public contract requires output to show:

• the relevant source and observation references;
• the analytical component and version;
• the reasons contributing to the result;
• known limitations and missing information;
• uncertainty or confidence where meaningful;
• the fact that human review is required.

Context changes meaning

An unusual value is meaningful only relative to suitable context. A price, phrase, image, timing pattern, or relationship cannot carry the same meaning across every category, region, period, or source.

No single signal establishes guilt, criminality, identity, intent, or harm. Multiple signals can justify closer review, but they do not convert a hypothesis into a fact.

Controlled learning

The system must not train automatically on its own predictions. Machine output can become reviewed training material only through a controlled process with attributable human labels and traceable dataset provenance.