但上大學前，她因為上節目評論政治人物遭網路攻擊，讓她上大學後變得保守，不再公開發表意見。「我會害怕，怕我不認識的人湧進我的臉書攻擊我，而我要陷入解釋的混戰裡，很累。」
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.
，详情可参考Line官方版本下载
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