Probability Basics

Probability measures how likely something is on a scale from 0 (impossible) to 1 (certain). A handful of rules covers most everyday questions — and explains some famous surprises.

The basic idea

P(event) = favorable outcomes ÷ total outcomes

This works when every outcome is equally likely. A fair die has six equally likely faces, so P(rolling a 4) = 1/6 ≈ 0.167, or about 16.7%. Probabilities can be written as fractions, decimals or percentages.

Combining events

not A: P(not A) = 1 − P(A)

A and B (independent): P(A) × P(B)

A or B: P(A) + P(B) − P(A and B)

Draw one card from a standard 52-card deck

  1. P(heart) = 13/52 = 1/4
  2. P(king) = 4/52 = 1/13
  3. P(king of hearts) = 1/52
  4. P(heart or king) = 13/52 + 4/52 − 1/52 = 16/52

P(heart or king) = 4/13 ≈ 30.8%. The king of hearts is subtracted once so it is not counted twice.

“At least one” — use the complement

Questions about “at least one” are easiest from the other side: work out the chance of none, then subtract from 1.

At least one six in four rolls of a die

  1. P(no six in one roll) = 5/6
  2. P(no six in four rolls) = (5/6)⁴ ≈ 0.482
  3. P(at least one six) = 1 − 0.482

≈ 51.8% — slightly better than even.

The birthday problem

How many people do you need in a room for a better than even chance that two share a birthday? Most people guess far more; the answer is just 23. The chance that no two of k people share a birthday is (365/365) × (364/365) × … × ((365 − k + 1)/365); subtracting from 1 gives the table below (ignoring 29 February and assuming birthdays are spread evenly).

The birthday problem
PeopleChance two share a birthday
52.7%
1011.7%
2041.1%
2350.7%
3070.6%
4089.1%
5097%
7099.9%

It feels surprising because there are many possible pairs: 23 people form 253 pairs, and any one of them can match.

Probability vs odds

Odds compare favorable to unfavorable outcomes. A probability of 1/6 is odds of 1 : 5 — one way for it to happen, five ways for it not to. Convert odds a : b to a probability with a ÷ (a + b).

Common mistakes

  • Thinking past results change independent events. After five heads in a row, a fair coin still has a 1/2 chance of heads on the next toss. Coins and dice have no memory.
  • Adding probabilities that overlap. “A or B” needs the overlap subtracted, or the total can exceed 1.
  • Multiplying probabilities that are not independent. Drawing two aces without replacement is 4/52 × 3/51, not 4/52 × 4/52.
  • Confusing small probabilities with impossibility. An event with a 1-in-1,000 chance per attempt becomes likely over thousands of attempts.