
Why do we slip on ice?
- 4 steps
- 1 h 6 min
- 7 simulations
Journey · Probability
Dice, coins and predictable randomness

Photo: Riho Kroll / Unsplash
When you toss a coin in the air, nobody can say whether it will land heads or tails. But toss the same coin a thousand times, and almost everyone knows that heads will come up very close to half the time. Individual events can't be predicted, yet the total is remarkably regular. That is one of the most surprising ideas in maths.
This journey first teaches you to count the possible outcomes, and then to turn that count into a probability. After that you'll see why experiments get closer to the theory in the long run: the law of large numbers. There's also a very common trap in thinking: if a coin has come up heads five times in a row, is the next toss more likely to be tails? The answer surprises a lot of people.
Finally, you'll put experimental and theoretical probability side by side. You'll be able to tell where what we call "luck" is genuinely uncertain and where it is surprisingly regular.
We suggest going in order; each step builds on the one before. You can try every lesson’s simulation without an account.
Step 115 min
Before you can measure luck, you have to count everything that could happen, leaving nothing out.
Step 220 min
The outcomes you've counted turn into a number: what exactly is the probability of an event?
Step 316 min
A single throw is a surprise, but over thousands of throws the result gets close to the theory. See why.
Step 414 min
If it has come up heads five times, is tails next? Confront the most stubborn fallacy our minds fall for.
Step 520 min
Compare what you see in an experiment with what you calculate, and learn when the difference is meaningful.


