← Methodology

Confidence Drift

What It Measures

Confidence Drift tracks the 7-day trend in average event confidence scores for a crisis. When confidence is rising, it means the pipeline is extracting better-sourced, more precisely geolocated, more corroborated events. When it is falling, either the quality of available information is deteriorating or the underlying events are becoming harder to verify — which itself is a signal worth noting.

How It Is Calculated

Each event in the POLYCRISIS database carries a composite confidence score (0–1) derived from four factors: source quality (wire service vs. blog), geolocation precision (city-level vs. country-level), corroboration (number of independent sources), and recency relative to the event. The system computes a daily mean confidence for each crisis, then fits a linear regression over the most recent 7 days. The slope of that regression, normalised by the mean confidence, is the Confidence Drift score.

Interpreting High and Low Values

Positive drift (above +0.1): Coverage is becoming more authoritative. This is normal following an initial breaking-news phase as wire services catch up with rumours. It can also indicate that previously covert activities are becoming visible.

Negative drift (below −0.1): Authoritative sources are becoming scarcer. This warrants investigation: is it an access blackout (journalists expelled, communications cut), or a genuine reduction in significant activity? Negative drift combined with high Escalation Probability suggests the former.

Data Sources and Update Frequency

Derived directly from the confidence column of the POLYCRISIS events table. Updated daily.

Other Indicators

Escalation Probability Event Intensity Signal Velocity Actor Concentration Market Contagion Narrative Contagion Anomaly Index
Methodology · Risk Index · Events

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