Wordle: A Microcosm of Life. Luck, Skill, Cheating, Loyalty, and Influence!
James P. Dilger

TL;DR
This paper analyzes Wordle gameplay data to reveal insights into player behavior, including cheating, loyalty to starting words, and influence from external clues, using quantitative methods and Information Theory.
Contribution
It provides the first quantitative analysis of Wordle player behavior, uncovering patterns of cheating, loyalty, and external influence through data compilation and analysis.
Findings
0.2-0.5% of players solve in one attempt, indicating widespread cheating.
Many players stick to favorite starting words despite non-repetition rules.
A sudden shift in starting words suggests external influence on players.
Abstract
Wordle is a popular, online word game offered by the New York Times (nytimes.com). Currently there are some 2 million players of the English version worldwide. Players have 6 attempts to guess the daily word (target word) and after each attempt, the player receives color-coded information about the correctness and position of each letter in the guess. After either a successful completion of the puzzle or the final unsuccessful attempt, software can assess the player's luck and skill using Information Theory and can display data for the first, second, ..., sixth guesses of a random sample of all players. Recently, I discovered that the latter data is presented in a format that can easily be copied and pasted into a spreadsheet. I compiled data on Wordle players' first guesses from May 2023 - August 2023 and inferred some interesting information about Wordle players. A) Every day, about…
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Taxonomy
TopicsMachine Learning and Data Classification · Advanced Bandit Algorithms Research · Electricity Theft Detection Techniques
MethodsAttentive Walk-Aggregating Graph Neural Network
