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.
(and seem to get mixed up with its use of LUCIFER/DSD-1/DES for communications).
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04、从“它经济”到“我经济”在不确定的生活中，宠物给人类提供了一种稀缺的关系稳定性；对宠物好，其实也是在治愈那个长期承受压力、缺乏情绪出口的自己。因此，如今的宠物消费，更多是在给“我”的情绪价值买单。
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