Does it work with a database of word triples to locations, or is it a list of words, and an algo to convert between word triples and locations? I would think t

Does it work with a database of word triples to locations, or is it a list of words, and an algo to convert between word triples and locations? I would think the latter would be much smaller to keep on one's phone. the surface area of the earth divided by 9 square meters is around 57 trillion (source: wolfram|alpha ) , so for word triples, you would only need around 4000 words stored in the phone. But, that wouldn't have the redundancy (any of the 3 words wrong would get the wrong result), so if you have any two of the words be enough to encode the result (so, getting 1 word wrong would result in the area you mean, and maybe two other areas you didn't mean), then you need uh, about 8 million words? I'm not sure english has that many words. oh wait maybe its only on land. That would uh, actually only help a little... Ok I don't understand their claim that it is redundant, but I'm pretty sure they don't /need/ to make it use a central lookup table when you can just convert coords into lists of words. IDK if they have their algo being open though. If they don't I guess I should make an open clone of it, because not having it be open is dumb. A standard to refer to a location should be open if it is to be useful.