Home / Learn / Physics / Radioactive decay diceTool #L35 (formerly #1071)

Radioactive decay dice: throw hundreds of dice, remove the sixes, and watch a half-life appear; compare with N = N₀ e^(−λt)

Model radioactive decay with dice or coins: throw them all, remove every six, and repeat. A half-life appears from pure chance. Compare your counts with N = N₀ e^(−λt), and see why big samples follow the curve and small ones wobble.

Keep it one tap away for everyday use.

Bookmark Radioactive decay dice?

Press Ctrl + D now. Your browser opens its own bookmark box, where you choose the name and folder.

  1. Throw
  2. Remove
  3. Half-life
  4. Check
Nothing is uploadedWorks offline once open

Throw the dice

Number left after each throw

Try this

  • Throw until about half the dice are gone. Then count how many more throws halve it again: about the same number.
  • Start again with 50 dice, then with 1,000. Small groups wobble around the curve; big groups follow it closely.
  • Switch to coins: the half-life is exactly one throw. With 20-sided dice it is about 13.5 throws.
  • Watch any one die: you cannot tell when it will go. Only the group behaves predictably, just like real nuclei.

A teaching model: a die has no memory, just as a nucleus has no age, so the same share goes at every throw. Real samples hold billions of billions of nuclei, so their curves are perfectly smooth.

Check yourself

What it does

An unstable nucleus can decay at any moment, and nothing about its past tells you when. Each one is like a die: at every throw it has the same chance of showing a six. This page gives you hundreds of dice. Each throw, every die that shows a six is removed (it has “decayed”). The number left falls by about one sixth each time, so it halves again and again at a steady rate: a half-life appears out of pure chance. The page plots your counts against the smooth law N = N₀ e^(−λt), measures the half-life from your own throws, and lets you change the number of dice and the chance of removal (coins, ordinary dice, 10-sided and 20-sided dice).

It follows the school topic Class 12 Physics, Nuclei (radioactivity, the law of radioactive decay, decay constant, half-life and mean life). Next, binding energy explains why some nuclei are unstable, decay calculator works with real half-lives, decay chain simulator follows one nucleus decaying into the next, and counting statistics helper handles the randomness of real counts.

How to use it

  1. Choose how many dice to start with (50 to 1,000) and what removes a die (a coin’s heads, a die’s six, and so on).
  2. Press Throw once, or Keep throwing to throw every half second (press Stop to pause).
  3. The grid shows the dice: still in play, just removed, and gone. The graph shows the count after each throw (dots) and the smooth curve.
  4. Read the half-life from your throws (when half had gone) next to the expected half-life ln 2 / λ.
  5. Start again to try another run; the result is a little different every time.

Worked example

With 600 ordinary dice, each die has p = 1/6 chance of being removed per throw. The decay constant is λ = −ln(1 − 1/6) = 0.1823 per throw (close to p itself), so the half-life is t½ = 0.6931 / 0.1823 = 3.802 throws. After 4 throws you expect 600 × e^(−0.1823 × 4) = 289.4 dice left; a real run gives a number near that, often within about 12 either way. After 8 throws (about two half-lives) you expect 139.5, roughly a quarter.

With coins (p = 1/2), λ = ln 2 and the half-life is exactly one throw. With 20-sided dice (p = 1/20) it is 13.51 throws.

Check yourself

Five questions, fresh each time: the number left after a few half-lives, the half-life from a decay constant, the fraction left after a time, a coin-throw question, and whether you can predict which die goes next. Nothing is saved.

Tips

  • Dice have no memory: a die that has survived ten throws is no more likely to go next time. Nuclei are the same, which is why the curve is exponential.
  • The smaller the group, the bigger the wobble around the curve. Real samples hold so many nuclei that their counts follow the curve almost exactly.
  • The mean life (average time a die lasts) is 1/λ, about 5.5 throws for a die: longer than the half-life.

FAQ

Why is λ not exactly 1/6? The throws are separate steps. The exact link is (1 − p) = e^(−λ), so λ = −ln(1 − p) = 0.1823; for small p it is very close to p.

Is decay really random? Yes. Quantum physics says there is no hidden clock in a nucleus; only the probability per second is fixed.

Is this from NCERT? No. It is an independent study aid that follows the same school topics, with its own pictures and numbers.

Where the numbers come from

  • Radioactive decay law N = N₀ e^(−λt), half-life t½ = ln 2 / λ, and the dice model of decay (each die is removed with chance p per throw, so λ = −ln(1 − p)): standard physics.
  • Checked against an independent Python calculation and against the average of 400 simulated runs, written for the tests.

Standard scientific values, such as constants, atomic weights and melting points, are facts found in every textbook; we name where ours were checked. If you are an author or publisher and want a value, a credit or a table changed or removed, tell us and we will act quickly.

Last updated 2026-11-09.

Change log for Radioactive decay dice

  1. Add #1071 Radioactive decay dice Details on GitHub

Every change to fibub

Related tools

Decay calculator #T99 Activity of F-18, Tc-99m, I-131, C-14, P-32 and 28 more nuclides (or any half-life) at any date and time, a printable decay table, when it falls to a given activity, carrier-free specific and molar activity, and the labelled fraction of your sample. Bq, MBq, GBq, µCi, mCi and Ci. Decay chain simulator #T680 Follow a radioactive parent and up to seven daughters through time with the Bateman equations: activity of every member at any time, when each daughter peaks, whether the chain reaches secular or transient equilibrium and how long that takes. Branching, any starting activities, and a chart and CSV of the ingrowth. Counting statistics helper #T685 For Geiger, scintillation and gamma counting: subtract the background with the right uncertainty, decide whether anything was detected (Currie's decision threshold L_C and detection limit L_D), get the activity and minimum detectable activity, exact Poisson limits, dead-time corrections for both detector models, and the best split of counting time. Binding energy #L34 See the binding energy per nucleon curve rise steeply, peak near iron and fall slowly. Work out the mass defect and binding energy of real nuclei, break the liquid drop formula into its terms, and see fission of uranium and fusion of hydrogen as moves up the curve. Microbe growth simulator #L99 Watch microbes double every few minutes in warm food, then cool them in a fridge, salt them like a pickle, sugar them like jam or boil them. Yeast puffs up dough and curd bacteria sour milk. A teaching model with made-up numbers. Probability spinner designer #L163 Design a spinner with up to six coloured sectors, read each probability as angle ÷ 360°, then spin once or a thousand times and watch the share of landings settle near the theory. At Class 12 level give each sector points and find the expected score.