Consider a set of $23$ unrelated people. Because each 23 pair of people shares the same birthday with probability $1/365$, and there are $\binom{23}2 = 253$ pairs, why isn’t the probability that at least two people have the same birthday equal to $253/365$?
2026-02-23 14:39:56.1771857596
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Birthday Problem: Why isn't the probability 253/365
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explanation for prob 1/365 we consider one pair (a,b) of people...the sample space for a particular pair has 365*365 elements...and out of those the elemnts which have same birthday dates will be 365...so thats how the prob is 1/365....
and considering that prob for one pair is 1/365 and there are total 253 pair then there will be 253/365...is wrong beacause they are not mutually exclusive....
according to me the correct answer can be like this.. prob atleast one two people have same bdy=prob(2peoplesame)+prob(3people same)+....prob(23 people same)
=1/365+1/(365)^2 + 1/(365)^3+...1/(365)^22 =1/364(approx)
Let $A$ be the event that some two people have the same birthday. For $i < j$, let $A_{i,j}$ be the event that persons $i$ and $j$ have the same birthday. Then, $\text{Pr}(A_{i,j}) = \frac{1}{365}$, and your calculation is essentially that $$ \sum_{1 \le i <j \le 23} \text{Pr}(A_{i,j}) = \sum_{i,j} \frac{1}{365} = \frac{\binom{23}{2} }{365} = \frac{253}{365}. $$ But unfortunately, $\text{Pr}(A) \ne \sum_{1 \le i <j \le 23} \text{Pr}(A_{i,j})$, because even though $A = \bigcup_{i,j} A_{i,j}$, the events $A_{i,j}$ are NOT disjoint: it could be that multiple pairs of people have the same birthday.
On the other hand, the total number of pairs sharing a birthday is $1$ birthday for each $A_{i,j}$ that occurs; therefore the expected number of pairs sharing a birthday is exactly what you have calculated: $\sum_{1 \le i <j \le 23} \text{Pr}(A_{i,j}) = \frac{253}{365}$.