扫描身份证，查询参保信息，打印参保证明……在河北三河市政务服务燕郊中心，市民王先生用了不到1分钟，就在自助服务终端机上打印好北京参保证明。
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.
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