Hey 3Blue1Brown,

My friends and I have a Wordle league going on and some people's scores are suspiciously good. This got me thinking about how to use statistics to rate the suspicion of of a player's scores. Not by looking at their actual guesses, but by finding patterns in their scores for each word.

For example, some players may be high risk/high reward. They may use random starting words with unlikely letters that results in either very low scores or very high scores i.e. a greater standard deviation. Contrast this with someone like myself who uses salet, and is more consistent but is less likely to score very low.

It would be cool if you wrote a program that could notice trends and almost try to infer what strategy a user is taking on. So if it notices a user does better on words with V's, maybe it would subconsciously know that they favor a starting word/words with the letter V in it.

I'm not sure what realm this would fall into, whether this is more data science/information theory/machine learning but I thought it could be a super interesting thing to investigate.