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.
The Shark vs. Roomba debate is old news. Here's how both robot vacuum brands got dethroned.
，更多细节参见快连下载安装
有没有想过，一张你亲手设计的「画」，可以被放在无数人的客厅、书房、卧室，伴随着音乐每天被看见、被触摸、被爱不释手？
这就是当下中国一些富人所起的表率，开创害礼坏俗的先例而不自知。