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.
数据作为新型生产要素，已快速融入生产、分配、流通、消费和社会服务管理等各环节。在各类应用场景中，数据通过协同优化、复用增效和融合创新，持续释放其资源价值，为生产方式、生活方式和社会治理方式带来了全方位变革。
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16:06, 27 февраля 2026Силовые структуры
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