doodleflip
A silver coin caught in mid-air above an open hand, slightly blurred as it turns, against a soft plain background
AI-generated image, not a photograph of a real person or place.

WHAT THE RESEARCH SAYS

Fair between heads,
not quite random.

A coin toss is physics, not magic.

Mathematicians showed that a flipped coin remembers how it started, very slightly. A team of researchers then flipped coins 350,757 times to check. The result: heads and tails are even, but the starting side wins about 50.8% of the time.

50.8% same side up

Check a flip

THE SHORT ANSWER

Even odds,
with a small memory.

How fair a toss is depends on how it is done.
Flipped and caught is close to fair. Spun on a table is not.

THE PHYSICS

A wobbling coin

Diaconis, Holmes and Montgomery showed that real flips precess, so a coin spends slightly longer with its starting face up. They put the same-side chance at about 51%.

See the numbers

THE TEST

350,757 flips

Bartoš and 49 colleagues found coins landed the same side up 50.8% of the time, while heads and tails came up equally often.

Check a flip

SPINNING

Spun coins drift

Pennies spun on their edge by Berkeley students showed a pronounced proportion of tails; some came up heads fewer than 10% of the time.

Why spinning differs
A coin spinning on its edge on a wooden table top, slightly blurred by motion
AI-generated image, not a photograph of a real person or place.

FOUR WAYS TO TRY IT

Make it fairer,
or test it.

You can see these effects with a coin and some patience. A small bias needs a lot of flips to show up.

  1. Hide the start side

    If nobody sees which side starts up, the same-side edge cannot favour anyone, and heads and tails are even.

  2. Flip high and catch

    The physics behind the 51% figure assumes a vigorous flip caught in the hand without bouncing.

  3. Do not spin to decide

    Spinning on a table is much less fair than flipping, depending on the coin's edge and balance.

  4. Count in the thousands

    Berkeley's David Aldous reckoned that with 40,000 tosses a 0.8% bias would quite likely show up clearly. A few dozen flips will not show it.

TWO NUMBERS WORTH KNOWING

Tiny bias,
huge sample.

One figure from the biggest coin-flipping study,
one on the rarest outcome of all.

50.8%

Flips landing the way they started

Across 350,757 flips, the probability of a same-side outcome was 0.508, with a 95% credible interval of 0.506 to 0.509. The bias shrank as people flipped more coins, perhaps as practice made flips less wobbly.

SAME SIDE · BARTOŠ ET AL.

1 in 6,000

Chance a US nickel lands on its edge

Using theory and experiment, Murray and Teare concluded a US nickel lands on its edge about once in 6,000 tosses, as cited by Diaconis, Holmes and Montgomery.

ON ITS EDGE · MURRAY AND TEARE

Earlier large hand-counted studies include Kerrich's 10,000 flips, Pearson's 24,000 and Lock's 30,000. Kerrich's coins bounced on a table, so the precession analysis does not apply to them.

A QUICK FLIP CHECK

How fair is
your toss?

Pick a way of tossing a coin. The bar shows how far the research suggests it can drift from a fair 50:50.

Flip check

Choose a toss
Flipped and caught, start side unknown50:50

With the starting side random, the 350,757 flips came up heads 50.0% of the time. Heads and tails are effectively even.

Flipped and caught, start side seen≈ 50.8% same side

If you know which side started up, bet on it: coins landed that way 50.8% of the time, with real variation between people.

Flipped and left to bouncePossibly less fair

Diaconis and colleagues suggest a coin that bounces may spin on its edge a little, so a toss landing on the floor may be less fair than one caught.

Spun on its edge on a tableCan be far off

Spun coins can show huge variations from 50:50, depending on the edge shape and centre of gravity. Spun pennies leaned heavily to tails.

Tossed flat without turning overAlways same side

A coin that rises spinning flat like a pizza never turns over. Diaconis and colleagues call it a 'total cheat coin'.

Sources: Diaconis, Holmes and Montgomery, Dynamical bias in the coin toss, SIAM Review 49(2), 2007; Bartoš et al., Fair coins tend to land on the same side they started (arXiv 2310.04153).

Based on Diaconis, Holmes and Montgomery (SIAM Review, 2007) and Bartoš and colleagues (350,757 flips).

A hand with a coin balanced on a bent thumb, ready to flip it, over a wooden table
AI-generated image, not a photograph of a real person or place.

WHY SPINNING DIFFERS

Flipped is physics,
spun is the edge.

With a coin-tossing machine, Diaconis and colleagues made a coin started heads up land heads up every time. Real hands vary the launch enough to make outcomes close to random, but the tilt of the spin axis leaves a small memory.

A coin spun on its edge is different: the result depends on the exact shape of the edge and the centre of gravity. Weighted coins made no difference when flipped and caught, but tended to land heavy side up when spun.

Questions

Questions people ask

Is a coin toss 50/50?

Between heads and tails, yes: 350,757 real flips came up heads 50.0% of the time. But a flipped coin lands on the side it started on about 50.8% of the time.

Why would a coin favour the side it started on?

Real flips do not spin neatly end over end. The axis tilts and precesses, so the coin spends slightly more of its flight with the starting face up, as Diaconis, Holmes and Montgomery showed.

Does everyone's flip have the same bias?

No. Bartoš and colleagues found considerable variation between people, and the bias got smaller as people flipped more coins.

Is spinning a coin fairer than flipping it?

No. Diaconis and colleagues say spun coins can show huge variations from 50:50. Berkeley students spinning pennies got a pronounced share of tails.

Can a coin land on its edge?

Rarely. Murray and Teare estimated a US nickel lands on its edge about 1 in 6,000 tosses. Harvard researchers Yong and Mahadevan showed the chance depends on the coin's thickness compared with its width.

Sources

  1. Bartoš et al., Fair coins tend to land on the same side they started: Evidence from 350,757 flips (arXiv 2310.04153)
  2. Diaconis, Holmes and Montgomery, Dynamical bias in the coin toss, SIAM Review 49(2), 2007 (PDF, UC Berkeley)
  3. David Aldous, UC Berkeley: 40,000 coin tosses yield ambiguous evidence for dynamical bias
  4. Yong and Mahadevan (Harvard), Probability and dynamics in the toss of a non-bouncing thick coin (arXiv 1008.4559)

Updated

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