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.
configurable: true,
。关于这个话题，爱思助手下载最新版本提供了深入分析
驱使动物伤害他人的，依照本法第五十一条的规定处罚。
适用：数据均匀分布，如[0,1)之间的浮点数
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