This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
2026年1月，美國16歲及以上人口的就業比例為59.8%，略低於2025年1月拜登離任時的60.1%。
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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
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