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.
// 易错点6：忘记将当前元素入栈，导致前面的元素无法匹配到当前值
，推荐阅读im钱包官方下载获取更多信息
After their youngest child started school last September, he set up a consultancy that he works on during school hours.，推荐阅读一键获取谷歌浏览器下载获取更多信息
# Score all pairs (~65s, 235,625 comparisons)
Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00578-w