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.
people aged 50+ with a severely weakened immune system
，这一点在同城约会中也有详细论述
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The blue noise or ‘void-and-cluster’ dither pattern avoids directional artefacts while retaining the optimal qualities of the Bayer pattern. The Bayer matrix can in fact be derived from the void-and-cluster generation algorithm itself[8].