In the collection Counterintuitive facts

Why a well-shuffled deck is almost certainly a first

A 52-card deck has about 8×10^67 possible orders, far more than all shuffles in history, so a properly randomized order has almost certainly never occurred before.

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A close-up photo of a hand with a wristwatch touching a stack of playing cards with patterned backs, placed on a green tablecloth with a leaf pattern.
A hand rests on a stack of playing cards on a green patterned tablecloth. Image: tookapic on Pixabay, CC0, via Wikimedia Commons. Chosen automatically; not checked by a person.
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The short answer

The number of ways to order 52 cards is so large that the total number of shuffles ever performed is a tiny fraction of it. If a shuffle is truly random, the chance that its result matches any earlier shuffle in history is vanishingly small. The claim holds for well-shuffled decks, not for every shuffle. [1] [2]

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Counting the orderings

Any of 52 cards can go first, then 51 remain for the second position, then 50, and so on. Multiplying these choices gives 52 factorial, written 52!. As [math.hmc.edu](https://math.hmc.edu/funfacts/making-history-by-card-shuffling/) notes, this is larger than 8 x 10^67. [mathsy.io](https://www.mathsy.io/articles/deck-of-cards-shuffles/) gives the more precise figure of about 8.07 x 10^67, a number with 68 digits. [1] [2]

[Scientific American](https://www.scientificamerican.com/article/how-the-math-of-shuffling-cards-almost-brought-down-an-online-poker-empire/) puts the scale in physical terms: it is more than a quadrillion times the number of atoms on Earth. [3]

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Why repeats are so unlikely

The HMC fun fact offers a time comparison: someone shuffling once per second since the universe began, believed to be about 14 billion years ago, would not have made more than 10^18 shuffles. That is a minuscule share of 52!. [1]

Scientific American stresses that 1/52! only gives the odds of hitting one specific order. The real question is whether any two shuffles ever match, a collision problem like the birthday paradox. Its calculation for eight billion people each shuffling once gives a chance of a match that differs from zero only around the 47th decimal place of a percent. With each person shuffling 100 decks, it is still below 8 x 10^-43 percent. It also considers all people who have ever lived, estimated at about 117 billion, and reaches the same conclusion. [3]

Mathsy.io makes a deliberately generous estimate of 10^20 shuffles in history and gets a repeat probability of roughly 6 x 10^-29. [2]

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The catch: the shuffle must be random

All of this assumes a genuinely random shuffle. Not every shuffle involves randomness, and a single random riffle does not make every order equally likely. HMC says one riffle can still produce nearly 2^52 configurations, about 4.5 x 10^15, and that after seven random riffles nearly every configuration is about equally likely. Mathsy.io cites Bayer and Diaconis for the seven-riffle result and warns that new decks all start in the same factory order, so two lazy single riffles could plausibly match. [1] [2] [4]

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Sources

  1. Making History by Card Shuffling – Math Fun Facts (math.hmc.edu) Found by source search. Not checked by a person.
  2. Why no one has ever shuffled a deck of cards the same way ... (mathsy.io) Found by source search. Not checked by a person.
  3. How the Math of Shuffling Cards Almost Brought Down an Online Poker Empire | Scientific American (scientificamerican.com) Found by source search. Not checked by a person.
  4. The Math of Card Shuffling (fredhohman.com) Found by source search. Not checked by a person.

Questions to follow next

  • Why do seven riffle shuffles randomize a deck?
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  • How does the birthday paradox work?
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  • How big is 52! compared with other huge numbers?
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