Probability of At Least One Success
Enter your known values, leave one input blank, and solves for the missing one. Try different units for next level excitement!
Learning zone
"At least one" is the complement of "none at all", and "none at all" is a simple product: all n attempts must fail, which happens with probability (1 − p)^n. At least one six in four rolls of a die is 1 − (5/6)⁴ = 1 − 625/1296 ≈ 0.518, a favourable bet. The Chevalier de Méré made money on exactly that wager, then reasoned that 24 throws of two dice should be equally good since 24/36 matches 4/6 — but 1 − (35/36)²⁴ ≈ 0.491, just under even, and his losses prompted the 1654 Pascal–Fermat correspondence that founded the subject.
Enter p as a decimal from 0 to 1, or switch the unit to %. Solving for n answers the planning question: to reach a 99% chance of at least one success when each attempt works 10% of the time, n = ln(0.01)/ln(0.9) ≈ 43.7, so 44 attempts. The trap is adding probabilities instead — ten 10% attempts do not give 100%, they give 1 − 0.9¹⁰ ≈ 0.651. Note the useful rule of thumb that n = 1/p attempts lands near 1 − e⁻¹ ≈ 63%, never certainty.
- = Probability of at least one success
- = Probability of success per attempt
- = Number of attempts
- Probability of at least one success — Binomial Distribution Mean, Expected Trials Until First Success
- Probability of success per attempt — Binomial Distribution Mean, Expected Trials Until First Success
- Number of attempts — Classical Probability, Binomial Distribution Mean