I suspect rather strongly that premodern people, too, experienced the physical world more acutely than I do, simply because my brain has been stewing in dopamine-spiking stimuli for four decades now, rarely pausing to touch the proverbial grass. Don’t get me wrong: I like the outdoors a lot. But my waking existence is spent mostly indoors in highly artificial spaces, whereas humans have typically spent the vast majority of their time outdoors in nature. Consider my ancestors, who, as best I can tell, were primarily illiterate peasants and smallhold farmers. They spent a significant proportion of their waking hours literally touching grass.
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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.