He said public inquiries like the Covid one needed to become more efficient and less adversarial.
In addition to being cleaner for the environment, he said it could be "cheaper to get rid of that waste through an anaerobic digestion plant" than other methods.
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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.