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METHODOLOGY

How Forecast.travel builds trust.

Every score has a source. Every source has a date. Every uncertainty has a label.

01 · DATA SOURCES

Safety scoresUS State DeptGov advisoryWeekly40%
Safety scoresUK FCDOGov advisoryWeekly30%
Safety scoresOSACNGO/GovMonthly20%
Health dataCDCGovernmentWeekly100%
WeatherOpen-MeteoLive API6-hourly100%
Crowd dataHistoricalSeasonal modelAnnual100%
Budget dataTraveler reportsUser generatedOngoing80%

02 · CONFIDENCE METHODOLOGY

Certainty must be earned.

HIGH (>85%): Multiple consistent, recently updated sources. N > 100.

MEDIUM (60–85%): Partial data, conflict, or data older than 90 days.

LOW (<60%): Limited sources, old data, or active conflict.

Confidence: 54% — limited recent data CALCULATED

03 · SOURCE CLASSIFICATIONS

LIVE DATAReal-time API feed. Verified and source-attributed.

CALCULATEDComposite score derived deterministically from inputs.

SEASONALHistorical pattern from prior years.

AI PREDICTIONGenerated by a model. Treat as guidance.

USER GENERATEDSubmitted by travelers. Upload date verified only.

04 · WHAT WE DON’T DO

✗ No affiliate or commission relationships

✗ No paid placements or sponsored destination content

✗ No incentivized or fake reviews

✗ No fabricated confidence scores

✗ We never pick the optimistic source to resolve a conflict

05 · CONTRADICTIONS

When sources conflict, both are shown. You decide.

LIVE DATA Government advisory: normal precautions nationally.

USER GENERATED Traveler reports: increased petty theft in one district.