Intuitively, it’s not too difficult to understand why this is the case. Remember that error-diffusion works in response to the relationship between the input value and the quantised value. In other words, the colour palette is already factored in during the dithering process. On the other hand, ordered dithering is completely agnostic to the colour palette being used. Images are perturbed the same way every time, regardless of the given palette.
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A pair like Cyrillic ԁ (U+0501) and Latin d scores 0.781 mean SSIM across 18 fonts. That sounds moderate. But it is pixel-identical (SSIM 1.000) in eight of those fonts: Arial, Menlo, Cochin, Tahoma, Charter, Georgia, Baskerville, and Verdana. An attacker needs only one font to succeed. The exploitable risk is the max, not the mean.