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.
Source: Computational Materials Science, Volume 267，详情可参考safew官方版本下载
▲ 图源：9To5Google。关于这个话题，搜狗输入法下载提供了深入分析
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杜耀豪在广州新造附近住了六周，在新造空间主理人许冰煌、研究员潘越、实习生付思睿与志愿者陈润庭的陪伴下，于2025年11、12月踏上了寻亲之旅。