QM,
For the record, my algorithm(s) wins on the word 'rhythm' but with only 1 wrong guess to spare (6 used and 7 is default). I did indicate that you could pre-process a dictionary to optimize your algorithm. In my case, I know that with my 'simple' solution, I lose on 2254 of the 60K words tested.

These 2254 words then become what I believe you are considering biased and are the very ones I am hoping people come up with a solution for. If I use an alternate algorithm against just these words, I can win 787 but still lose 1467. As JavaFan pointed out elsewhere in that thread, for certain words - guessing is all you can do. I have absolutely no problem if you can figure out this word is biased early on and use an alternate algorithm for it. My issue is that the algorithm that works better on these biased words doesn't work great on normal words.

In short, the answer is yes if you can figure out how.

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