If we expect a drink to contain sugar, we enjoy it more, even if it actually contains just artificial sweeteners. Conversely, when people were expecting an artificially sweetened drink but were sneakily given a sugary one, they enjoyed the sugary drink less.

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Browser font fallback determines the threat. When a page specifies font-family: Arial, Helvetica, sans-serif and a string contains Cyrillic а, the browser checks Arial’s glyph tables, finds Cyrillic coverage, and renders it using Arial’s Cyrillic glyphs — which are pixel-identical to the Latin ones. The CSS font stack you ship determines which column of the danger rate table applies to your users. Arial at 40.8% is a different risk profile from Didot at 19.2%.

Important remark: if you’re new to Modular Software Design, I really encourage you to first read the appendix on fundamentals: 8. Appendix - Introduction to Modular Design.

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