Media Framing vs. Ground Realities: Diagnostic Methodology
When large-scale social unrest or policy crises emerge, news reporting and political commentary frequently employ displacement framing—the practice of attributing complex domestic administrative bottlenecks to high-salience external or ideological themes. This tool calculates the mathematical and categorical divergence between a rhetorical claim and the documented demands of participants on the ground.
How is the Discrepancy Index calculated?
The Discrepancy Index measures the mathematical distance between the asserted causal vector (e.g., claiming a student strike is caused by immigration) and the weighted vector of documented primary evidence (e.g., official teacher vacancy rates, union communiques, and student manifestos). When 0% of primary evidence connects to the asserted cause, the discrepancy approaches 100%.
Case Study: French High School Protests
In late 2024 and 2025, tens of thousands of French lycée students organized nationwide school blockades. While political commentators internationally framed the unrest through the lens of national immigration crises, official reporting from the French Ministry of National Education, teacher unions (FSU-SNES), and student organizations (USL) documented that the protests were triggered by teacher shortages, class size inflation, and unfilled teaching positions in suburban institutions.
Privacy & Data Handling
All evidence points, weightings, and discrepancy scoring run 100% locally in your browser. No user-entered text or custom evidence lists are uploaded to remote servers. Exported dossiers are assembled in client-side memory using standard Blob primitives.