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Scientists Found A Wordle Strategy That Wins 99% Of The Time!

Wordle game grid with green yellow and grey squares representing Binghamton University research using Shannon entropy information theory to develop a strategy that solves Wordle 99 percent of the time

Researchers at Binghamton University in New York have developed a mathematical strategy for solving Wordle that succeeds 99 percent of the time, beating the conventional approach by nearly 10 percentage points and outperforming virtually every human player who has ever stared at a row of grey squares and quietly panicked. The research, published just as Wordle celebrates its fifth anniversary, was led by Assistant Professor Congyu Wu and a team of graduate students who applied a concept from information theory called Shannon entropy, a mathematical measure of uncertainty originally developed to describe how efficiently information can be transmitted across a channel. Rather than guessing words that seem likely to be the answer, the method identifies the guess that will eliminate the largest number of possible remaining words, regardless of whether that guess is itself a likely solution. The key insight, as doctoral student Donald Stephens explained, is that the best guess does not have to be the most likely answer: it simply has to be the most informative one.

In computer simulations run against the full Wordle word list, the entropy-based strategy solved 99 percent of puzzles within the six-guess limit, compared to roughly 90 percent for a conventional approach that prioritizes words containing the most commonly used English letters. The strategy can sometimes look counterintuitive or even random to a human observer, because it will occasionally recommend a word that seems unlikely to be the answer simply because that word's specific combination of letters will slash the remaining possibilities faster than any more obvious choice would. To use the method while actually playing, a player would need to run a separate program alongside the game, enter the color-coded feedback after each guess, and receive the mathematically optimal next word as a recommendation. What began as a class assignment in which Professor Wu challenged students to demonstrate how information theory applied to a real-world problem eventually became a published scientific paper, which Wu said is an excellent example of how a static mathematical measurement can be transformed into a dynamic tool for doing something better, and of how a classroom exercise can end up contributing something genuinely useful to the world.

Source:https://www.sciencedaily.com/releases/2026/06/260619020508.htm

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