# The Kruskal Count

Chapter
Part of the Studies in Choice and Welfare book series (WELFARE)

The Kruskal Count is a card trick invented by Martin D. Kruskal (who is well known for his work on solitons) which is described in Fulves and Gardner (1975) and Gardner (1978, 1988). In this card trick a magician “guesses” one card in a deck of cards which is determined by a subject using a special counting procedure that we call Kruskal's counting procedure. The magician has a strategy which with high probability will identify the correct card, explained below.

Kruskal's counting procedure goes as follows. The subject shuffles a deck of cards as many times as he likes. He mentally chooses a (secret) number between one and ten. The subject turns the cards of the deck face up one at a time, slowly, and places them in a pile. As he turns up each card he decreases his secret number by one and he continues to count this way till he reaches zero. The card just turned up at the point when the count reaches zero is called the first key card and its value is called the first key number. Here the value of an Ace is one, face cards are assigned the value five, and all other cards take their numerical value. The subject now starts the count over, using the first key number to determine where to stop the count at the second key card. He continues in this fashion, obtaining successive key cards until the deck is exhausted. The last key card encountered, which we call the tapped card, is the card to be “guessed” by the magician.

## Keywords

Markov Chain Failure Probability Success Probability Coupling Method Geometric Distribution
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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## Authors and Affiliations

• Jeffrey C. Lagarias
• 1
• Eric Rains
• 2
Email author
• Robert J. Vanderbei
• 3
1. 1.Department of MathematicsUniversity of MichiganAnnArborUSA
2. 2.Department of MathematicsCalifornia Institute of TechnologyPasadenaUSA
3. 3.Department of Operations Research and Financial EngineeringPrinceton UniversityPrincetonUSA