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Anyone who has been on Twitter in recent weeks is probably intimately familiar with the grids of Wordle solutions clogging up everyone’s timelines. But those tweets give more information than it would seem. Collecting and analyzing data from millions of these Wordle result tweets can give us some interesting insights into aggregate play patterns and the relative difficulty of daily Wordle puzzles.
The Wordle Stats Twitter account has done a lot of the heavy lifting here. Since January 7, the bot account has used the Twitter API to sort through the public timeline for every tweet formatted as a Wordle result, tracking the total number of players and how many guesses each player needed to complete the puzzle. That account shared its underlying data with Ars to power a deeper analysis of daily play patterns.
#Wordle 242 2022-02-16
289,721 results found on Twitter.
10,740 hard mode players.1: 1%
2: ? 4%
3: ????? 20%
4: ??????? 31%
5: ?????? 26%
6: ??? 15%
X: ? 3%#Wordle242— Wordle Stats (@WordleStats) February 17, 2022
This isn’t a perfectly random sample of Wordle players, of course—it’s limited to the group of players who use Twitter and choose to share their results publicly. The vast majority of what The New York Times said were millions of daily players at the end of January are not reflected here.
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