The false positives at the bottom
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。业内人士推荐WPS官方版本下载作为进阶阅读
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.，更多细节参见旺商聊官方下载
What does Neet stand for and how many are there in the UK?