Keywords
card shuffling; poker; Texas Hold'em; applied probability
Document Type
Original Research Article
Abstract
This work demonstrates that the card shuffling procedure commonly performed in casino poker rooms is insufficient for randomizing a deck of cards. We explore this in the context of Texas Hold’em, which has established itself as the most popular form of poker worldwide over the past few decades. We show the degree to which the resulting distribution of the orderings of all 52 cards in the deck after shuffling is not uniform. Rather, any given card may be substantially more (or less) likely to show up as an important card in the subsequent hand. Additionally, we find that the shuffling procedure does not sufficiently separate cards from their starting point; that is, cards are more likely to stay close together after shuffling than they should by chance. Thus, in this work, we demonstrate that Texas Hold’em players can gain an advantage over their opponents by recognizing these deficiencies in the shuffling procedure.
Funding Sources
none
Competing Interests
none
Recommended Citation
Merz, D. W., & Chi, P. B. (2022). Knowing When to Fold'em: A Monte Carlo Exploration of Card Shuffling and How Poker Players Can Gain an Advantage. UNLV Gaming Research & Review Journal, 26(1). Retrieved from https://digitalscholarship.unlv.edu/grrj/vol26/iss1/7COinS