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.
教育部党组召开会议，部署开展教育部直属系统学习教育，要求紧紧围绕教育强国目标，坚持学查改一体推进，高标准高质量落实好学习教育各项任务；坚持读原著、学原文、悟原理，切实把学习成果转化为谋划实施教育发展“十五五”规划、加快推进教育强国建设的具体举措，以实干实效服务中国式现代化建设。。业内人士推荐safew官方版本下载作为进阶阅读
，这一点在搜狗输入法2026中也有详细论述
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for i, n := range nums {