Statistics & Probability
The Birthday Paradox: Why Coincidences Are Less Rare Than We Think
🎂 Everyone's Birthday: A Simple Dilemma

Imagine you're at a party with about ten people. If someone asked you what the probability is that two people among you share the same birthday, you'd probably think it's very low. After all, there are 365 days in a year (let's ignore leap years for a moment for simplicity), and only 10 people. The chances seem slim, right?
Well, your intuition would be deceiving you. This is the heart of the birthday paradox: the idea that the probability of an apparently rare coincidence is, in reality, much higher than we expect.
👥 How Many People Do You Really Need?

The paradox gets its name from this very scenario: in a group of just 23 people, the probability that at least two of them share the same birthday is greater than 50%. Yes, you read that correctly: more than half the time, in a group of just 23 people, we will find a pair celebrating on the same day! If the group increases to 50 people, the probability becomes 97%. In a group of 70 people, it's almost a certainty.
Why is our intuition so wrong? The reason is that our mind tends to focus on a specific aspect of the problem, while probability takes into account all possibilities.
🤔 The Trick of "Not Having" the Same Birthday
To understand the paradox, it's easier to calculate the probability of its opposite: that is, that no one has a birthday on the same day. If we can find this probability, it will be sufficient to subtract it from 1 (which represents certainty, or 100%) to get the probability that at least two people share a birthday.
Let's think about it for a moment.
- The first person can have a birthday on any of the 365 days.
- The second person, in order not to share a birthday with the first, must celebrate it on one of the remaining 364 days. The probability is .
- The third person, in order not to share birthdays with the first two, must celebrate it on one of the remaining 363 days. The probability is .
This process continues for all the people in the group. The probability that no one shares a birthday is the product of all these fractions:
where is the number of people in the group.
Now, the probability that at least two people share a birthday is:
By calculating these numbers, one quickly discovers how surprisingly the probability grows even with few individuals.
🎰 Coincidences and Games: The Independence of Events
The birthday paradox teaches us a fundamental lesson about probability: coincidences are not always as extraordinary as they seem. This concept is also crucial when we talk about random and independent events, such as lottery draws in gambling.
Every single draw, whether of lottery numbers or cards in a well-shuffled deck, is an independent event. This means that the outcome of one draw has no memory or influence on the outcome of the next draw. Even if a number has not been drawn for a long time (lagging number), its probability of being drawn in the next play remains exactly the same. There is no "turn" for lagging numbers, nor a preference for those recently drawn.
Thinking that there is a higher probability that a number "must" come out because it hasn't appeared for a long time, or that a pattern will repeat, is a common error known as the gambler's fallacy. The birthday paradox shows us how events that seem "improbable" or "coincidences" are actually a natural consequence of the laws of probability when the number of combinations or interactions increases.
💡 Our Brain and Probabilities
The reason the birthday paradox surprises us is related to how our brain is accustomed to processing probabilities. We are very good at understanding simple probabilities, but we struggle when the number of possible interactions increases rapidly. In the case of birthdays, we are not looking for a specific person to have the same birthday as another specific person; we are looking for any pair of people who share a birthday, and this exponentially increases the possibilities.
This does not mean that truly extraordinary coincidences do not exist, but it invites us to look with different eyes at those that often leave us speechless. The world is full of numbers and possibilities, and sometimes, what seems like an anomaly is simply a manifestation of the laws of probability in action.
Draws are independent random events. Historical statistical analysis does not influence future results. Gambling can cause pathological addiction. Play responsibly. Gambling is forbidden to minors under 18. Source: adm.gov.it.
Le performance passate non garantiscono risultati futuri · EV negativo per definizione · 18+ · adm.gov.it
