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.
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
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前大埔區議員姚鈞豪曾在社交媒體發文，批評政府問卷未提及不同安置方案的詳情，認為內容誤導，不贊成以此來收集意見。