Why data sleuths are archiving the Jeffrey Epstein files: ‘We want to provide some clarity’
Summary
A data scientist in Denmark named Tommy Carstensen has created a large, detailed online archive of files related to Jeffrey Epstein’s case, including documents, images, and financial records. This effort came after the US Department of Justice missed a deadline to release these files, and other journalists and researchers are also using tools like facial recognition to organize and analyze the materials.Key Facts
- The US Department of Justice missed a December 2025 deadline to release Epstein-related unclassified files.
- Tommy Carstensen runs an extensive archive of Epstein case materials, spending up to 50 hours a week on it.
- The archive includes interactive graphics, court records, audio/video transcripts, and facial recognition tools.
- A new searchable facial recognition database was created by Decoherence Media to identify people in Epstein’s images.
- The facial recognition uses Amazon’s Rekognition software and follows strict accuracy rules to avoid mistakes.
- The technology is less reliable for non-white faces, so matches were carefully double-checked manually and with other models.
- The Epstein network features many notable individuals and clear social circles, making facial recognition more effective.
- Appearing in the Epstein files does not mean a person did anything wrong.
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