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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.
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She said: "When you play someone as strong as [Torchwood's] Gwen Cooper, someone so recognisable, it's quite difficult to come away from that or for other people to see you do anything differently.
A simple demonstration of the use of a probability matrix to select from two candidate colours. In this case, both colours contribute equally to the initial input colour. The normalised threshold matrix value at for a given pixel is compared against the cumulative probability of each candidate.