Why flip a coin 10 times at once?
Ten flips is the perfect mini-experiment. It is small enough to wrap your head around — you can read the whole sequence at a glance — yet large enough to show the first quirk of probability: a fair coin will not usually land exactly 5 heads and 5 tails. The most common single outcome is indeed an even split, but roughly one batch in four ends up 6–4, and about one in ten finishes 7–3 or wider.
Whether you are settling a best-of-ten with a friend, picking between ten options, or running a first probability exercise, this page flips all ten coins the instant you press the button and gives you the full sequence plus summary statistics.
What the results show
After each run you get the heads and tails counts, a percentage bar, and the complete flip-by-flip sequence rendered as colored markers so you can spot streaks and runs. Ten flips routinely contain a streak of three or four identical results — that is not bias, it is just what randomness looks like in small samples.
Your recent batches are also saved locally, so you can run the experiment a few times and compare how much the split wanders between 4–6, 5–5 and 6–4 from batch to batch.
A gentle introduction to the law of large numbers
Ten flips is where the law of large numbers starts to flex: one batch can easily end 7–3, but average many batches together and the combined total drifts stubbornly toward 50/50. If your ten-flip result surprises you, try the 100 or 1000-flip pages and watch the percentage tighten toward half as the sample grows.
This progression — wide variance at 10, moderate at 100, tight at 1000 — is one of the cleanest ways to build an intuition for how probability actually behaves, which is why teachers keep coin flipping in the curriculum century after century.