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.
"We have a quern stone for grinding flour for bread. We've got pottery and glass for eating and drinking" says Dr Andy Seaman.
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술의 위기, 범인은 넷플릭스와 위고비? [딥다이브]。关于这个话题，51吃瓜提供了深入分析
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