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.
To demonstrate this concretely, I built apkbuild，这一点在im钱包官方下载中也有详细论述
“二三十岁的人会把ChatGPT当作人生导师之类的东西来用，老年人则会用ChatGPT来代替谷歌。”。雷电模拟器官方版本下载对此有专业解读
2500 Annual Plan – $990/year