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.
（十一）泄露办理治安案件过程中的工作秘密或者其他依法应当保密的信息的；
Последние новости。搜狗输入法2026是该领域的重要参考
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Владислав Уткин。关于这个话题，搜狗输入法2026提供了深入分析
无论你是不是一位创作者，只要你怀揣着对于工作、学习乃至人生的疑问，我相信都能从这些分享者的箴言和思考中，获得一点启迪。