Flip a Coin
Flip a coin right here and get an honest result — this free online coin flip lands on Heads or Tails, runs 1, 10 or 100 tosses at a time and keeps a running tally of heads, tails and your current streak. Nothing is uploaded and no sign-up is needed.
Pick the number of flips, then press Flip coin.
What is a coin flip?
A coin flip is the simplest way to make a fair choice between two options: you toss a coin, let it land, and read which face is up — heads or tails. What makes it useful is the probability underneath. A fair coin has two equally likely outcomes, so the chance of heads is 50% and the chance of tails is 50%, written 0.5 each or simply 50/50. That is the whole model: a coin flip is a two-outcome random trial where both outcomes carry equal weight.
Just as important is independence. Every flip stands alone. The coin has no memory, so if you toss five heads in a row the next flip is still 50/50 — the earlier results do not push the coin toward tails to "even things out". Independence is what lets you multiply probabilities across flips, which is why the chance of ten heads in a row is 0.510, or 1 in 1,024.
People use a coin flip to settle a call, break a tie, choose who goes first or run a quick two-way draw. This page tosses in your browser with a cryptographic random source and keeps a tally of heads, tails and the current streak.
How to use
- Leave the flip count on 1 flip for a single toss, or pick 10 or 100 to run a batch at once.
- Choose an animation speed — Normal for a full 900 ms spin, or Fast if you are flipping repeatedly.
- Press Flip coin. The coin spins, lands on Heads or Tails, and the result appears in large text above the tally.
- Read the running tally: heads, tails, total flips this session and the current streak ("current streak: 3 heads").
- Press Reset tally to start a fresh session, or use the copy icon to copy the tally as text.
Example
Suppose you flip a fair coin 100 times. The expected result is 50 heads and 50 tails, because each flip has a 0.5 chance of heads: 100 × 0.5 = 50. The standard deviation is √(100 × 0.25) = 5, so a typical run lands within 5 of the average — anywhere from 45 to 55 heads, which happens about 72.9% of the time. Stretch that to ±2 standard deviations (40 to 60 heads) and the coverage rises to about 96.5%.
The surprise is how rarely you hit the expected value exactly. The probability of landing exactly 50 heads in 100 flips is only about 8.0% — roughly 1 chance in 12.6. So most of the time a perfectly fair coin still lands slightly either side of 50/50, which is exactly why small samples look streaky. At 10 flips the deviation is about 1.6 around 5 heads, so 6 and 4 is entirely ordinary; at 1,000 flips it is about 15.8 around 500, which is why big samples look far more balanced.
Who is this for?
- Teachers and students demonstrating probability: run 10 flips and watch the results scatter, then run 100 or 1,000 and see the ratio settle toward 50/50 — a live illustration of the law of large numbers.
- Sports fans settling a call: simulate a kickoff coin toss, decide who bats first, or settle a bet between two friends with a toss both people can watch.
- Decision-makers breaking a tie: when two options are genuinely equal, a coin flip removes the deadlock and one round of 1, 10 or 100 flips settles it in seconds.
- Anyone running a fair draw or raffle: assign two entrants to heads and tails, flip in front of the group, and the tally gives everyone a visible record of the outcome.
Coin flip odds at a glance
These figures come straight from the 50/50 model: expected heads and tails are both n × 0.5, and the standard deviation is √(n × 0.25), the spread you should expect around that average.
| Flips (n) | Expected heads | Expected tails | Standard deviation | Typical range (±1 sd) |
|---|---|---|---|---|
| 10 | 5 | 5 | 1.6 | about 3 to 7 heads |
| 100 | 50 | 50 | 5.0 | 45 to 55 heads |
| 1,000 | 500 | 500 | 15.8 | 484 to 516 heads |
Read it this way: the average stays at half the flips, but the absolute spread widens as the sample grows (1.6 → 5.0 → 15.8) while the spread as a percentage of the sample narrows (16% → 5% → 1.6%). That is why 100 flips can look lopsided and 1,000 flips almost never do.
Common use cases
- Settling an argument: two people, two sides of the coin, one toss — nobody can claim the result was chosen on purpose.
- Games and tabletop: heads or tails for turn order, a first player, or a random binary outcome inside a game.
- Classroom experiments: have every student run 10 flips, pool the results, and compare the class histogram with the expected 50/50 split.
- Best-of-three tie-breaks: use 10 or 100 flips as a batch to produce an odd-sized set of results and break a stubborn tie.
- Quick draws at events: assign heads to one entrant and tails to another, then toss in front of the group for a visible, fair pick.
Pro tips
- True randomness is hard — even for coins. A physical coin is not perfectly fair: because of the way it wobbles, it is slightly more likely (roughly 51%) to land on the side that started facing up. A random algorithm removes that bias, which is why a digital toss is often the fairer option.
- Streaks look wrong but are normal. Five heads in a row has a 1 in 32 chance (about 3.1%) per five-flip sequence, so you will see it often. Ten in a row is 1 in 1,024, and twenty in a row is 1 in 1,048,576 — rare, but guaranteed to happen eventually if you flip long enough.
- A coin flip is not a memory. Past results never change the next toss. After four tails in a row the chance of tails is still exactly 50%, because the flips are independent.
- Judge a run by the spread, not the exact total. At 100 flips, anything between 45 and 55 heads is about one standard deviation out and happens roughly 73% of the time — so a 55/45 split is not evidence of a biased coin.
FAQ
Is a coin flip really 50/50?
A fair coin has two equally likely outcomes, so each side has a probability of 0.5 — one in two, which people write as 50/50. Real physical coins are very slightly biased: a flipped coin is a touch more likely to land on the side that started facing up, around 51% in controlled studies. For everyday decisions that is negligible, and this tool avoids the bias entirely because it draws from a cryptographic random source where each side is equally likely.
What are the odds of 10 heads in a row?
One in 1,024, which is about 0.098%. Because flips are independent you multiply the chance each time: 0.5 x 0.5 ten times, or 0.5^10 = 1/1,024. Rare, but far from impossible — the same 1 in 1,024 applies to any specific ten-flip sequence you name in advance.
What are the odds of 5 heads in a row?
One in 32, about 3.1%. That is 0.5^5 = 1/32, so five heads in a row turns up roughly once every 32 five-flip sequences. Streaks like this look wrong to people but they are completely normal in random data.
Can I flip multiple coins at once?
Yes. Use the number-of-flips control to choose 1, 10 or 100 flips. A single flip animates the coin and lands on Heads or Tails; a batch run tosses every coin in the set at once and reports the heads/tails split, adding it to the running tally.
Is this random or pseudo-random?
The flip uses your browser cryptographic random generator (crypto.getRandomValues) whenever it is available, which draws from an operating-system entropy source. If that API is missing, the tool falls back to Math.random(). Either way the result is not sent anywhere — the flip happens in your browser.
Does it work offline?
Yes. Once the page has loaded, the coin flip runs entirely in your browser with no network requests, so it keeps working with no internet connection at all.
Is this coin flip free?
Yes. It is free, needs no sign-up or login, and there is no limit on how many flips you can make. Nothing you do on the page is uploaded.
Does the tally save if I close the tab?
The running tally of heads, tails and total flips is stored in your browser session storage for the current tab, so it survives a page refresh. Closing the tab clears it; press the copy button if you want to keep a record of a session.
Why does the result look wrong? I got 7 heads in 10 flips
Random sequences clump. The standard deviation for 10 flips is about 1.6, so 7 heads out of 10 is about one standard deviation above the average of 5 — normal, not a broken tool. At 100 flips the standard deviation is 5, so landing between 45 and 55 heads happens about 73% of the time.
What is the difference between a coin flip and a coin toss?
None. Coin flip, coin toss, heads or tails and flipping a coin all describe the same two-outcome random choice, and the words are used interchangeably.
Can I use this coin flip for a raffle or a fair draw?
Yes. For a two-way draw a single flip gives each side an equal chance, and both players can watch the coin land. For a draw with more than two entries, run 100 flips as a batch to see the random spread, or use a random number generator to pick a wider range fairly.
Does a coin have memory? Does a tails follow heads?
No — each flip is independent. After five heads the next flip is still 50/50 for heads. The coin does not balance out past results; long-run averages move toward 50% only because thousands of new flips are added, never because the coin remembers.
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