I've found the root cause of the problem in @what3words and can now demonstrate it.
Let's pick a square in a UK urban area.
///could.find.tollshttps://what3words.com/could.fines.tolls …
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...word combinations nearby. Our system’s design leads to benefits for day-to-day communication vs coordinates or many of the hierarchical alphanumeric codes which group similar results nearby by design. We have good feedback from our partners and users supporting this view.(3/4)
You can read more context on how what3words works with similar 3 word addresses here: https://what3words.medium.com/how-does-what3words-handle-similar-combinations-of-words-d480c94483c7 … (4/4)
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Fantastic reply that completely avoids addressing the issues raised. Excellent work everyone
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I accept that you fundamentally can't fix this because you engineered yourselves into a corner, but you should at least acknowledge and document the problems
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I think your odds there are wrong by several orders of magnitude.https://twitter.com/cybergibbons/status/1387679325122711553 …
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Great job completely ignoring everything and repeating the same shit again….pic.twitter.com/svoKtWwzxk
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I like his dressing gown.
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Why does this feel like a weird generic sales pitch
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