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ExplorationsBeating is not a ranking, and adding a second throw can reorder it

Three Dice, Each Beaten by the Next

Conjecturedprobabilitydicetournamentscurious

Three six-sided dice are thrown against each other and the higher face wins. Die A has faces 2, 2, 4, 4, 9, 9, die B has 1, 1, 6, 6, 8, 8 and die C has 3, 3, 5, 5, 7, 7. Counting all 36 pairings, A beats B 20 to 16, B beats C 20 to 16, and C beats A 20 to 16, so there is no best die. Throw each die twice and add the faces, and the order changes: A no longer beats B.

Interactive laboratory

Current view: Who beats whom

See the three results at once, as arrows that can close into a loop.

Who beats whom · one throw each36 pairings
20 : 16wins : losses20 : 16wins : losses20 : 16wins : lossesA2 2 4 4 9 9B1 1 6 6 8 8C3 3 5 5 7 7

A beats B, B beats C and C beats A. Every die loses to one of the others, so there is no best die.

The three comparisons as a table
Each pair of dice over all 36 pairings, one throw each
PairFirst winsSecond winsTiedResult
A against B20160A beats B
B against C20160B beats C
C against A20160C beats A
a die
a circle named A, B or C, with its six faces printed beside it
an arrow
points from the die that wins more pairings to the die it beats; the number pair is its wins and losses
a plain line
two dice that win as many pairings as they lose, so neither beats the other

Each circle is a die, with its six faces printed beside it. An arrow runs from the die that wins more pairings to the die it beats, labelled with the winner’s wins and losses. A plain dashed line joins two dice that win as often as they lose. If the arrows chase each other round the triangle, no die is best.

At one throw each: A beats B, B beats C and C beats A. Every die loses to one of the others, so there is no best die.

A against B
20:16
B against C
20:16
C against A
20:16
How this page is laid out

Make a prediction

pairings

Change the assumption

What this assumes
Beating works like being bigger: whichever die wins one throw each keeps winning when both sides add a second throw.
What breaks it
The opening dice. A beats B with one throw each, and with two throws each, added, B beats A. The loop that closed at one throw is gone too, replaced by the order B, then C, then A.
Where it holds

Dice that are just numbers, with one face value on each, where adding the same second throw to both sides can never change which is bigger.

The three dice

Die Aaverage face 5
Die Baverage face 5
Die Caverage face 5

Faces are whole numbers from 1 to 12. The order of the faces on a die does not change how it plays.

How many throws

Each side throws its die once and the higher face wins: 36 pairings.

Pair in the grid

Chooses which two dice the grid view lays out.

The census

Faces run from 1 to

Uses the range above and the number of throws chosen above.

Cases worth seeing

Try this

Read off the average face of each die in the editor. What do the three averages say about the idea that one die wins because it is bigger?

1/3

What is going on

Each explanation begins with a worked example and follows the same operation through intuition, formal statements and proofs. Later sections distinguish what is established from questions that remain open, so you can follow the level of detail useful to you.

Worked by handDie A against die B with one throw each: the 36 pairings counted face by face, grouped by the face of A.
  1. a 2 on A, which appears twicebeats the two 1s; loses to 6, 6, 8, 84 wins, 8 lossesEach 2 beats 2 faces of B and loses to 4, and A has two 2s, so 2 × 2 wins and 2 × 4 losses.
  2. a 4 on A, which appears twicebeats the two 1s; loses to 6, 6, 8, 84 wins, 8 lossesThe same count as the 2: a 4 is still below every 6 and 8 and above every 1.
  3. a 9 on A, which appears twicebeats all six faces of B12 wins, 0 lossesB has no face above 8, so each 9 wins all 6 of its pairings, and A has two 9s.
  4. the three kinds of face on A4 + 4 + 12 wins out of 3620 wins, 16 lossesThe losses are 8 + 8 + 0. Every pairing has been counted once, so 20 of 36 is the exact count, and A has beaten B.
The laboratory does this for every pair at once. The grid view is this working drawn as 36 squares, one for each pairing, and the arrow between A and B in the first view is the count at the bottom of the plate.
Nothing in the count is hidden or approximate, and the same count run on B against C and on C against A gives 20 to 16 each time. A beats B, B beats C and C beats A, with all three averages equal to 5.
01

What you are seeing

Three dice, three arrows, and no best die

Three six-sided dice are laid out as circles, each with its six faces printed beside it. Two dice are compared by throwing both and seeing which shows the higher face. Rather than throwing them, the laboratory counts: it takes every face of one die against every face of the other, 36 pairings in all, and records who wins each.

An arrow runs from the die that wins more of its pairings to the die it beats, and carries the two counts. On the opening dice the arrows run A to B, B to C and C to A, round the triangle. No die is at the top. Whichever one you pick, another die beats it.

02

Why it starts to make sense

Each die is strong against a different set of pairings

The tempting explanation is that beating means being bigger, so a chain of beating must climb. It cannot climb round in a circle. That explanation is fine for numbers. It is wrong for dice, because a die is not one number but six, and two dice are compared by laying their six faces against each other.

Look at the totals view. The three dice have the same average face, 5, so none of them is bigger on average. What differs is the shape. A has two very high faces, two middling and two low. B has two very low faces and four high ones. C is spread evenly through the middle. When A meets B, the question is which faces of A line up above which faces of B, and when B meets C it is a different set of pairings entirely. Nothing makes the first set of pairings predict the second.

03

The key idea

Comparing distributions is not comparing numbers

A ranking needs one number for each thing ranked. Put the things in order by their number, and anything above is above everything below. A comparison that only ever looks at two things at a time, and decides by counting, does not hand out numbers. It hands out a verdict for each pair, and nothing forces three such verdicts to agree with an order.

The dice make this concrete. The win rate of A against B is a fact about the pair, not about A. Change B and A's rate against it changes, and a die that looks strong against one opponent can look weak against the next. The loop is what that independence looks like when it is drawn as arrows.

The second throw makes the same point from another side. Adding two throws turns each die into a new die with 36 equally likely faces, and the new dice are compared the same way. Which arrow points where was never a property of the original six faces alone, and here it reorders: A stops beating B.

04

Formal statement

What it means for one die to beat another

For two dice and with faces and , count the pairings in which wins and in which it loses:

Pairings with are ties and count for neither side. Say that beats when , which with six faces each means winning more than half of the decided pairings. With two throws each, replace the faces by the 36 possible sums of two faces of the same die, so there are pairings.

Three dice , , are when beats , beats and beats , or when all three results run the other way round. Then no die beats both of the others, so no die can be placed first in any order that respects the results.

05

Proof

That such a set exists needs only an example

To show that "beats" need not be it is enough to give one set of dice and count. Here is the count for the opening dice with one throw each. The plate above has A against B: A wins pairings and loses .

For B against C, the two 1s of B lose to every face of C, which is 12 losses. The two 6s of B beat C's 3, 3, 5, 5 and lose to its 7, 7, giving 8 wins and 4 losses. The two 8s beat all of C, 12 wins. Total: wins and losses.

For C against A, the two 3s of C beat A's 2, 2 and lose to 4, 4, 9, 9, giving 4 wins and 8 losses. The two 5s beat 2, 2, 4, 4 and lose to 9, 9, giving 8 wins and 4 losses. The two 7s do the same, 8 wins and 4 losses. Total: wins and losses.

So A beats B, B beats C and C beats A, each 20 to 16, and no die is best. That is a of existence, and it uses only these 108 pairings.

With two throws each the space is larger, 1,296 pairings for each pair of dice, and the page does not argue it by hand. It counts all of them exactly: A wins 592 and loses 704 against B, B wins 624 and loses 608 against C with 64 tied, and C wins 624 and loses 608 against A with 64 tied. Only the result for A against B changes direction, and the loop becomes the order B, C, A. That is an exhaustive check of those dice at that number of throws. It is not a claim about three throws or about other dice.

06

Limits and further questions

What this does not say about dice in general

Everything above is about three particular dice, and the loop is not typical of dice. Ask the census: among all the dice that can be made from the faces 1 to 6, most sets of three have a strict order (about 91 percent with one throw each), about 8 percent contain a pair that wins as often as it loses, and are about a quarter of one percent. The census is exact for those dice and no others. It says nothing about dice with more sides, other faces, or a fixed total of faces.

There is real mathematics on how common are when the dice get large. Conrey, Gabbard, Grant, Liu and Morrison studied random dice with a computer in 2016 and conjectured that, as the number of sides grows, ties become rare and about a quarter of random triples are intransitive. Later work, including a Polymath project, has settled versions of this for particular models of random dice. This page cites that work and does not reproduce or test it, and its small, fixed-size census should not be read as evidence about the .

The famous set is Efron's four dice, not the three here, and the two-throw behaviour of one set says nothing about another. Whether throwing more than twice keeps rearranging the order, and for which dice, is not something this page claims to know.

Read this next to The Coin Bet You Can Always Beat. It is the same "no best choice" idea with a coin in place of dice. Two players each bet on a pattern of three flips, and one coin is flipped until a bet turns up. Whatever the first player bets, the second can answer with a pattern that wins at least 2 games in 3, and four of the eight patterns beat each other round a ring, as A, B and C do here.

What is actually established

Every statement on this page, with its status, its exact scope, and the date that status was last checked.

Proved

There is a set of three six-sided dice in which each beats the next: with faces 2, 2, 4, 4, 9, 9 for A, 1, 1, 6, 6, 8, 8 for B and 3, 3, 5, 5, 7, 7 for C, A beats B, B beats C and C beats A, each by 20 pairings to 16 of 36.

Scope
These three dice, one throw each, with “beats” meaning winning more of the 36 pairings than it loses. It shows that “beats” need not be transitive; it says nothing about how common such sets are.
Why
A proof by example. The three counts are small enough to do by hand, as the plate above does for A against B, and the laboratory recounts all three pairs over every pairing. The idea of nontransitive dice is old and is credited in the literature to Bradley Efron; the set on this page is not Efron’s.
Status checked
Sources
Mathematical Games column on nontransitive dice citation unresolved; Efron’s Dice citation unresolved
Exhaustively checked

With two throws each, added, the opening dice have no loop: B beats A by 704 pairings to 592, B beats C by 624 to 608 with 64 tied, and C beats A by 624 to 608 with 64 tied, so the order is B, then C, then A.

Scope
These three dice only, two throws each added, with all 1,296 ordered pairs of totals counted for each pair of dice. Only the result for A against B changes direction; the other two keep the direction they had with one throw.
Why
Every pairing is counted with integer arithmetic, once through a table of distinct totals and once by an independent nested loop in the unit tests. The count is a statement about these dice and this number of throws. It does not say what happens with three or more throws.
Computation (exact)
All 1,296 ordered pairs of two-throw totals for each of the three pairs of dice, counted exactly; the same counts recomputed by nested loops over every tuple of faces. Algorithm intransitive-dice-v1.
Status checked
Exhaustively checked

Among the 462 dice whose faces come from 1 to 6, 40,666 of the 16,328,620 sets of three different dice form a cycle with one throw each (about 0.25 percent), and 9,550 do with two throws each added.

Scope
Dice are counted once per set of six faces (the order of the faces on a die is ignored), every set of three different dice is classified, and a cycle means each die beats exactly one other with no tied pair. It says nothing about dice with other face ranges, more sides, or a fixed total of faces.
Why
The census compares every pair of the 462 dice once and then classifies every triple from those results. The counts are pinned in the unit tests against a separate prototype, and the smaller ranges are rechecked there by comparing every triple directly. The cycle share is small here and is not an estimate of the limit discussed in the literature.
Computation (exact)
Every die with faces from 1 to 6 (462 dice) and every set of three different dice (16,328,620), classified by exact pairing counts; ranges 1 to 3 through 1 to 6 are available in the laboratory. Algorithm intransitive-dice-census-v1.
Status checked
Conjectured

As dice get more sides, a random set of three is intransitive with probability about one quarter, and ties become rare.

Scope
Conjectured by Conrey, Gabbard, Grant, Liu and Morrison (2016) from computer experiments on random n-sided dice. Versions of it have since been proved in the literature for particular random models of dice, so the model matters, and this page does not say which statement is proved for which. Its own census concerns six-sided dice only and does not test the limit.
Why
The page cites this result and does not prove or sample it. The census above is exact but for dice of a fixed small size, where the cycle share is a fraction of a percent, so it should not be read as evidence for or against the quarter.
Status checked

Sources

Review notes show which bibliographic details Mathomaly has checked and which remain unresolved. Checking a publication record does not independently verify its proof.

  1. Brian Conrey, James Gabbard, Katie Grant, Andrew Liu, Kent Morrison, Intransitive Dice, Mathematics Magazine, volume 89, issue 2, 2016. Link

    Studies how common intransitive sets are among random n-sided dice, with computer experiments and conjectures about ties and about the share of intransitive triples. Cited for those conjectures, which this page does not test: its census covers six-sided dice with faces from 1 to 6 at most.

    Citation details remain unresolved after review by Mathomaly.

    Bibliographic review:

    AI-assisted bibliographic audit. Evidence type: unresolved.

    A web search returned the title, authors, journal, volume, issue and page range 133-143, but the article text was not opened and the DOI was not resolved. Publication details remain unresolved.

  2. D. H. J. Polymath, The probability that a random triple of dice is transitive, arXiv:2211.16156, 2022. Link

    A later Polymath paper on random dice, cited as an example of work that has settled versions of the Conrey et al. conjectures for particular random models. This page proves none of it and does not say which model each statement belongs to.

    Citation details remain unresolved after review by Mathomaly.

    Bibliographic review:

    AI-assisted bibliographic audit. Evidence type: unresolved.

    Search results listed the arXiv identifier and title and a later journal publication in Combinatorial Theory; the paper itself was not read and the journal details are unconfirmed. The year shown is the arXiv posting year.

  3. Martin Gardner, Mathematical Games column on nontransitive dice, Scientific American, December 1970, 1970.

    The column that brought Bradley Efron’s nontransitive dice to a wide audience. Cited for the history of the idea; the dice on this page are a different set, chosen so that every count can be checked by hand.

    Citation details remain unresolved after review by Mathomaly.

    Bibliographic review:

    AI-assisted bibliographic audit. Evidence type: unresolved.

    The issue and the exact column title were not inspected. The date and subject are taken from the commissioning brief, and the MathWorld entry on Efron’s dice was not opened either.

  4. Efron’s Dice, Wolfram MathWorld. Link

    A reference entry on the best known set of four nontransitive dice. Cited for background.

    Citation details remain unresolved after review by Mathomaly.

    Bibliographic review:

    AI-assisted bibliographic audit. Evidence type: unresolved.

    The address is as given in the commissioning brief; the page was not opened during the audit, so its contents are unconfirmed.

Connected by how they work, not by sharing a topic label.