How this calculator works
- Step 1BothP(A) × P(B)Multiply when both must happen.
- Step 2EitherP(A) + P(B) − bothAdd, then remove the overlap counted twice.
- Step 3Repeated tries1 − (1 − p)ⁿOne minus the chance of missing every time.
Independent events do not affect each other: a coin toss tells you nothing about a die roll. Their chances combine by these simple rules.
Worked example: a coin and a die
- Both
P(A) × P(B)- Either
P(A) + P(B) − P(A) × P(B)
- Both1/2 × 1/6 = 1/128.33%
- Either1/2 + 1/6 − 1/12 = 7/1258.33%
- Neither1/2 × 5/6 = 5/1241.67%
- Heads at least once in 101 − (1/2)¹⁰99.90%
Two dice both showing a six is rarer: 2.78%, or 1 in 36.
A 1% chance, many times
A 1-in-100 chance tried 100 times is not certain: it happens at least once only about 63% of the time.
Assumptions and limits
- IndependentOne event does not change the other’s chance.
- Same chance each tryEvery try of A has the same probability.
- PercentagesEnter 1 in 6 as 16.67%.
- Not dependent eventsDrawing cards without replacing them needs other rules.
Related probability tools
Combining two events is the simplest probability. Counting outcomes and repeated trials have their own tools.
To count arrangements and selections, use the permutation and combination calculator. For a fixed number of tries, the binomial distribution calculator gives exact chances, and the dice roller shows every total’s odds.
Common mistakes
Mistake: Adding chances for “either”.
Instead: Subtract the overlap: 50% + 50% is 75%, not 100%.
Mistake: Multiplying chances of dependent events.
Instead: Use the chance of B given A.
Mistake: Expecting n tries at 1/n to be certain.
Instead: It is about 63% for large n.
Checking the method
A separate script re-works every golden value from the truth table and a binomial sum, in exact fractions.
Read how we test our calculators, or browse more maths calculators.