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As much as I like lovely exercises like this, we need to stop saying that the choropleth map is "misleading". It can be misleading *if you don't know how to read it for the purpose it was created for*—to show who won were, nothing else. The problem isn't the map, but its improper interpretation.

Karim Douieb@karimdouieb.bsky.social

🇺🇸🗳️ With the 2026 midterms two weeks away, I felt this election deserved a better map. 🧵

I lean toward greater designer responsibility rather than reader. Choropleth maps are designed for areal unit sizes approx constant wrt thematic attribute. Where that relation breaks down, we get noise. Where geographic size systematically relates to interest (urban-rural) we get problematic bias.

Related analogy: Mercator projected map of world countries could be argued is "a map of which country is where, nothing else", but we know the systematic bias in area-attribute relation is a problem. Most accept a better alternative is to reproject the map rather than require reader to undo bias.

Except that Mercator's isn't intended to be a locator map. It's a navigational tool, and it succeeds at that because it makes rhumb lines straight. Another story is people's misinterpretation and misuse of Mercator's for purposes it wasn't designed for. So that analogy strengthens my original point

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