Earlier quoted context omitted.
The point of using words is that it should be more reliable when roundtripping via voice or memory. I think it's much easier for people to remember 'reader giraffe suppose advance' than WF24+VMR
w3w fails at this, because it uses words that sound similar (recede reseed, innocence innocents, and many others: https://cybergibbons.com/security-2/why-what3words-is-not-su... ). Good luck playing spelling bee of "clairvoyants" in emergency. Some words may also be difficult to pronounce/hear/spell by non-native speakers. Unlike regular sentences, there's no context to disambiguate.
Even for my attempt at the problem, I did various experiments on the word list, but an ideal attempt would check for similarity across common accents, etc and I certainly wasn't able to do that.
Having said that, I think it's a valid and realistic goal for good word encoder systems to aim for good roundtripability via voice or memory.