Probability Calculator

Combine two independent event probabilities: and, or, neither.

%
%
Both A and B
At least one (A or B)
Neither
Exactly one
Not A

Assumes A and B are independent. For events that affect each other, these formulas do not apply directly.

Combining independent chances

When two events are independent, their combined probabilities follow a few clean rules. Multiplying gives the chance of both; a little care with overlap gives the chance of either.

BothP(A) × P(B)
At least oneP(A) + P(B) − P(A)×P(B)
Neither(1 − P(A)) × (1 − P(B))

The key word is independent: each event must leave the other’s odds unchanged. Drawing cards without replacing them, for instance, breaks that assumption and needs conditional probability instead.

Worked example

With two independent 50% events, both happening is 25% (0.5 × 0.5), at least one is 75%, neither is 25%, and exactly one is 50%.

Intuition that helps

Probabilities of "both" shrink fast — two coin flips landing heads is already only one in four. "At least one", by contrast, climbs quickly as you add events, which is why rare mishaps become likely over many tries.

Quick checks

  • Both ≤ either input. Combining can only lower the joint chance.
  • At least one ≥ either input. More ways to succeed.
  • Neither + at least one = 100%. A handy sanity test.

Frequently asked questions

What does "independent" mean here?
That one event happening does not change the odds of the other — like two separate coin flips. The formulas shown assume independence; for linked events they do not apply directly.
Why isn’t "A or B" just the two added together?
Because adding them double-counts the case where both occur. The "or" probability subtracts that overlap: P(A) + P(B) − P(A and B).
How do I enter the probabilities?
As percentages from 0 to 100. A one-in-six dice roll is about 16.67%; a coin flip is 50%.
What is "exactly one"?
The chance that one event happens but not both — useful when you want strictly one success, not two. It equals "at least one" minus "both".