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.
1990年代至2000年代中期，相關指標曾一路上行。
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BBC事實查核（BBC Verify） 對這些說法進行了核實。。关于这个话题，搜狗输入法2026提供了深入分析