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.
晚上11点多，他才回来。一进门，他就笑嘻嘻地说今天很开心。他说大家都见到了，几个兄弟轮着敬酒。有人说“这么多年第一次凑齐”，有人说“以后多走动”。，详情可参考safew官方版本下载
，这一点在搜狗输入法2026中也有详细论述
（一）使用虚假身份信息、营业执照，冒用他人身份信息、营业执照、电话号码、邮箱，或者使用物联网卡等办理互联网服务的；
"AI answers and search features can now cite Reddit more often which reinforces discovery and traffic at the margin."。heLLoword翻译官方下载对此有专业解读