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.
Ранее стало известно, что Белгород вновь подвергся атаке со стороны Вооруженных сил Украины. Удар по российскому региону мог быть нанесен ракетами HIMARS, которые произведены в США.，这一点在旺商聊官方下载中也有详细论述
。关于这个话题，搜狗输入法下载提供了深入分析
🚀 第一步：准备 Node.js 环境，这一点在同城约会中也有详细论述
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"I am able to say categorically that there is safe care. There is good care, I have seen examples of it. But, I have also seen way too many examples of poor care.