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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.
Both the UN's top climate science body, the Intergovernmental Panel on Climate Change (IPCC), and the International Energy Agency (IEA), have said that, in addition to deep and rapid emissions cuts, technologies to capture and remove carbon are important tools to help limit global warming.
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