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Flip a coin 100 times

See how close to 50/50 you actually get. Run 100 coin flips instantly, analyze the heads/tails split, longest streak, and expected deviation. Perfect for probability class or satisfying your curiosity.

Heads
·
Tails
Press Space or Enter
Streak analysis
Longest heads streak:
Longest tails streak:
Session totals
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What does 100 coin flips tell you?

One hundred flips is where probability starts to feel real. With just 10 flips, a 7-heads result seems surprising — but with 100 flips, the Law of Large Numbers kicks in and your results reliably converge toward 50/50. Mathematically, the standard deviation of a 100-flip run is exactly 5, which means roughly two-thirds of all runs will land between 45 and 55 heads. Running this tool a few times lets you observe this distribution firsthand. If you pool 30 students' results in a classroom, the combined percentage will be remarkably close to 50% — a live demonstration of the central limit theorem without a single formula.

How to read the streak analysis

After each run, the streak panel shows the longest consecutive heads run and the longest consecutive tails run. Most people expect long streaks to be rare — but in 100 fair flips, a streak of 7 or more appears in roughly 80% of all runs. A streak of 6 appears in about 96% of runs. Our brains are wired to see patterns in randomness and flag them as suspicious, but long streaks are a mathematical certainty in large enough samples. The streak note tells you whether your run's longest streak is typical or on the shorter side, so you can calibrate your intuition.

Expected deviation: how far off 50/50 is normal?

With 100 flips, the expected deviation from 50 heads follows a binomial distribution with standard deviation σ = √(100 × 0.5 × 0.5) = 5. That means: getting 45–55 heads is within 1 standard deviation (68% of runs), getting 40–60 heads is within 2 standard deviations (95% of runs), and getting outside 40–60 heads — say, 37 heads or 64 heads — happens only about 5% of the time and would be considered statistically notable. The summary line after each run tells you whether your result was "very close," "within normal range," or a "notable deviation."

Classroom uses

Statistics teachers use this tool for several core lessons. For a Law of Large Numbers demo, have each student run 3–5 trials and record their heads counts — then aggregate the class totals and watch the percentage converge toward 50. For a Gambler's Fallacy lesson, have students predict the next flip after a long streak, then reveal that each flip is always exactly 50/50 regardless of history. For a standard deviation lesson, collect all students' heads counts and plot them — you'll get a nearly perfect bell curve centered on 50 with spread of about 5, without any simulation software required.

Frequently asked questions

How close to 50/50 should 100 coin flips be?
With 100 fair coin flips, the standard deviation is about 5. Getting between 45 and 55 heads is the "normal" range — roughly 68% of all 100-flip runs land there. Getting exactly 50 heads happens about 8% of the time. Results outside the 40–60 range occur about 5% of the time and are statistically notable but not impossible.
What is the longest streak you can expect in 100 flips?
In 100 fair coin flips, a streak of 7 or more (all heads or all tails) is expected roughly 80% of the time. A streak of 6 appears in about 96% of runs. This surprises most people — our brains tend to see long streaks as suspicious, but they are completely normal in random sequences of this length.
What does the Law of Large Numbers mean for coin flips?
The Law of Large Numbers states that as you increase the number of trials, the observed proportion converges toward the true probability. With 10 flips you might see 30% heads; with 100 flips you're much more likely to be near 50%; with 10,000 flips you'll be very close to exactly 50%. This tool's session stats panel shows cumulative results across runs, letting you watch convergence in real time.
Is this coin flip truly random?
This tool uses JavaScript's Math.random(), which is a pseudo-random number generator seeded by your browser's entropy source. It is not cryptographically secure, but it is more than sufficient for probability demonstrations, statistics homework, and classroom exercises. Each flip is an independent 50/50 event with no memory of previous results.
How do I flip a coin fewer times?
For 10 flips at once with a coin-by-coin grid, try our Flip a Coin 10 Times tool. For a single interactive flip with running history and stats, use the Coin Flip tool. All tools are free and require no sign-up.

Who uses this tool

Statistics students
See the Law of Large Numbers in action — run multiple trials and watch the cumulative heads percentage converge toward 50% as your sample size grows.
Teachers
Quick classroom probability demo that needs no install and works on a projector. Pool student results in a shared spreadsheet to build a live bell curve in minutes.
Researchers
Fast random sampling baseline for checking intuition about binary distributions before running more complex simulations or analyzes.
Curious minds
Settle the question of how fair a coin really is — and find out whether a streak of 8 in a row is genuinely rare or just Tuesday in probability land.