No slight to anyone pursuing this strategy, but I also felt like using the shorter list for ranking candidate words was cheating. On the other hand, my solver e

No slight to anyone pursuing this strategy, but I also felt like using the shorter list for ranking candidate words was cheating. On the other hand, my solver ends up making silly suggestions that might be appropriate for early on in the game, but not for late guesses. I've tried to think of what might be a good way of approximating a human's own sense of which words are viable Wordle answers. One thing I attempted was using a word frequency table to help bias the algorithm away from less common words. The funny thing is that some words rank low in word frequency but are otherwise count as "common knowledge". For example, "tapir" was a Wordle solution a few weeks ago, but it ranked lower than some obvious non-answers like "grovy". It could be that the frequency table I was using was weird, but I can believe that there are well-known words that aren't used that often. Maybe I could come up with a better corpus (e.g. only use the NYT or some other newspaper) to use as the basis for a custom frequency table. Seems like a lot of work!