
How can I get better at Wordle?
The daily guessing game where you guess a random five-letter word in six tries (or less) has taken the world by storm.
It is of course, perfectly possible to cheat at Wordle. The JavaScript code for the game, with the complete word list, can be viewed in the Chrome browser by hitting F12. But if you don’t want to stoop that low, you can use a branch of computer science called information theory to maximise your chance of a correct guess.
To explain how this works, let’s look at a simpler game. In 20 Questions, you can ask up to 20 yes/no questions to try and guess an object or person. Since you only have 20 guesses, you need to maximise the amount of information you get from each guess. If you are guessing a person, you could ask ‘Are they a 19th Century Russian author?’ and if the answer is ‘yes’ you will have gained a very useful clue. But if the answer is ‘no’ then it hasn’t narrowed the field much.
A much better question would be ‘Are they female?’, because whether the answer is yes or no, you have roughly halved the number of possibilities left. A question that divides the possibilities into equal-sized groups contains more information than one where the groups are very uneven.
In Wordle, words that contain lots of common letters contain more information. Even if the letter isn’t in the word, it is more useful to know that the word does not contain E or S, than to be told that it doesn’t have a Q.
The YouTube channel 3blue1brown wrote some Python code to search through all the valid five-letter words and found that SALET contains the most information for the starting guess. Since this is not one of the possible answers though, you may prefer to lead with CRATE, which is nearly as good and offers the extra hope of a lucky win on the first try.
Read more:
- What’s the best way to win at rock-paper-scissors?
- How can I get better at arguments?
- Are talents genetic or learnt?
- What happens in our brain when we learn languages?
Asked by: Harriet Matthews
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Authors

Luis trained as a zoologist, but now works as a science and technology educator. In his spare time he builds 3D-printed robots, in the hope that he will be spared when the revolution inevitably comes.
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