Kailash Nadh CTO, Zerodha
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.
。关于这个话题，夫子提供了深入分析
❤️。搜狗输入法下载对此有专业解读
2021—2025年度，因退市和主业调整，共有11 个行业的企业数量减少。其中，建筑业、采矿业、租赁和商务服务业、金融业、卫生和社会工作、住宿和餐饮业披露研发人员的企业数量逆势增长；房地产业和教育业的数值维持不变，与入库企业数量同步减少的行业仅有3个。，这一点在safew官方下载中也有详细论述