Birthday Problem Calculator

Explore the famous probability puzzle: how many people need to be in a room for two to share a birthday? The answer might surprise you!

Birthday Problem Calculator
Adjust the number of people to see the probability of at least two people sharing a birthday.
Range: 2-100
Probability of at least two people sharing a birthday:
50.7%

Interpretation

With 23 people in a room, there's a 50.7% chance that at least two people share the same birthday. This is often surprising, as our intuition suggests we would need many more people for a shared birthday to be likely.

What is the Birthday Problem?

The birthday problem, also known as the birthday paradox, asks about the probability that, in a set of randomly chosen people, at least two will share a birthday. The paradox is that this probability reaches 50% with just 23 people, and 99.9% with just 70 people - far fewer than most people intuitively expect.

The Mathematics Behind the Birthday Problem

The birthday problem is solved by calculating the probability of the complementary event: no two people sharing a birthday. For n people, we multiply the probabilities of each person having a different birthday from all previous people:

P(no shared birthdays) = 365/365 × 364/365 × 363/365 × ... × (365-n+1)/365

Then, the probability of at least one shared birthday is:

P(at least one shared birthday) = 1 - P(no shared birthdays)

Interesting Facts About the Birthday Problem

  • With just 23 people, the probability of a shared birthday is about 50%
  • With 50 people, the probability increases to about 97%
  • With 70 people, the probability is over 99.9%
  • The calculation assumes birthdays are evenly distributed throughout the year (which isn't exactly true in reality)
  • This problem has applications in cryptography and computer security

Real-World Applications

The birthday problem has practical applications beyond being a fun probability puzzle:

  • Cryptography: The "birthday attack" in cryptography uses this principle to find collisions in hash functions
  • Database Design: Understanding collision probabilities helps in designing efficient hash tables
  • Social Networks: Analyzing the likelihood of connections or similarities in large groups
  • Party Planning: Understanding the likelihood of shared birthdays at events

Birthday Problem FAQ

Why is it called a paradox?

It's called a paradox because the result is counterintuitive. Most people guess that you would need many more people (closer to 183, which is about half of 365) for a 50% chance of a shared birthday.

Does the calculation account for leap years?

The standard calculation assumes 365 possible birthdays, ignoring February 29. A more precise calculation would use 366 days and adjust for the probability of being born on February 29.