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.
How could they work?
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The environment charity welcomed Waitrose's announcement. Kerry Lyne, its Good Fish Guide manager, said: "To keep favourites like mackerel on the menu, we need support right across the supply chain with fishing kept within sustainable limits."，更多细节参见谷歌浏览器【最新下载地址】
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arr.push(p.val); // 存储节点值而非节点本身，简化后续操作