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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With what3words we’ve taken something that many people would consider inherently complex and not relevant to them (GPS coordinates) and made it accessible and something people use, want to use, and benefit from. (1/4)
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We deliberately try to shuffle similar word combinations far apart to help avoid mistakes as one of several design features we balance (another being to place more complex words in the sea). The trade-offs we make mean there are some instances where you may find similar... (2/4)
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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)
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Imagine all the senior leaders huddling together in a room for days and they come up with this disastrous response. Not at all facing into magnitude of the problem beautifully laid out by cybergibbons at all nor all the reports from emergency services teams sent to wrong places.
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Also fyi GPS coordinates aren't complicated at all, it's literally a sequence of numbers
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Don’t wheel out the generic marketing fluff response out when someone has done a detailed in-depth analysis of your flawed algorithm. It reinforces the impression that w3w is incompetent.
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