Rough AI truth score
75/100
The reported mechanisms—flag hopping, opaque ownership, weak port control, labor coercion, and IUU fishing—are real and well corroborated. Vivid cases should not be converted into unsupported prevalence estimates for all vessels, fleets, or jurisdictions.
Based on three central claims · medium-high confidence
International registries, corporate opacity, jurisdictional distance, and limited inspection create documented enforcement vulnerabilities. Flag performance varies, and coastal, port, market, and labor-state controls can still constrain abuse.
ILO reviews, inspections, survivor accounts, and prosecutions document coercion, debt, confinement, violence, and abusive conditions. Hidden populations and inconsistent definitions prevent a precise global prevalence estimate.
Satellite data, inspections, catch documentation, and enforcement cases reveal persistent IUU mechanisms. Unobserved activity and disputed methods make global tonnage estimates uncertain.
What this number means. It is an AI-generated first-pass judgment of three central factual or causal claims—not a rating, exhaustive fact-check, or human peer review. Claim credits are 100% for supported, 75% for mostly supported, 50% for mixed, and 25% for weak, then averaged and rounded. Lower confidence means the score should move more as better evidence arrives.
Method three-central-claims/0.1.0 · checked 2026-09-01 · 3/3 selected claims assessed · method and source audit