Show HN: Base24 binary-to-text encoding for humans

Re:Show HN: Base24 binary-to-text encoding for humans by excitedleigh on Wednesday February 26, 2020 @10:50PM (#22430270)

Another interesting solution to this problem is that used by plus codes [1]:

> The characters that are used in Open Location Codes were chosen by computing all possible 20 character combinations from 0-9A-Z and scoring them on how well they spell 10,000 words from over 30 languages. This was to avoid, as far as possible, Open Location Codes being generated that included recognisable words. The selected 20 character set is made up of "23456789CFGHJMPQRVWX". [2]

[1]: https://plus.codes [2]: https://github.com/google/open-location-code/blob/master/doc...

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Re:Show HN: Base24 binary-to-text encoding for humans by cortesoft on Wednesday February 26, 2020 @10:58PM (#22430307)

Does not help with the ambiguous character problem at all, though

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Re:Show HN: Base24 binary-to-text encoding for humans by IAmEveryone on Thursday February 27, 2020 @12:03AM (#22430661)

No I,1,0, or O in their alphabet, though. So they did probably consider the problem at some point. Or got lucky.

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