We all know the feeling; TV stations seem to be showing the same episodes of your favorite show over and over again. While the conspiracy-theorist in me would love to believe this is true, there’s actually a very good reason for this.
Remember when you were in school, and despite the apparent unlikelihood (after all, there are quite a few days in a year), two of your classmates had their birthdays on the very same date? Actually, this isn’t unlikely at all; in a group of 23 or more people there is a 50% chance that at least two of their birthdays will coincide. For 57 or more people the chance is 99%! This is commonly known as “the birthday paradox”, although it’s not really a paradox at all.
The same principle applies to TV show episodes, and since most series have a lot less than 365 episodes, the probabilities are actually even higher. We’ll do the calculations for a few well-known shows, but first let’s see how it works.
Let E be the set of episodes for a given show. We denote the number of episodes by |E| (read: “the size of E”). Now, for a given number of seen episodes to all be different, they must be pairwise distinct. Let’s calculate the probability pE(n) that n randomly chosen episodes of E are pairwise distinct.

This calculation can be understood as the probability of choosing an unseen episode n consecutive time. The probability of seeing the same episode twice when watching n episodes of E is then given by 1-pE(n). Let’s study this for a few well-known TV shows.
For Friends, which has 236 episodes, the number of episodes required for a 50% chance of a repeat is 19, and watching 46 episodes gives a 99% chance. For House, currently at 162 episodes, these numbers are 16 and 38 episodes respectively. For America’s longest running sitcom The Simpsons, currently at 492 episodes, watching 27 episodes gives a 50% of a repeat sneaking in; and watching 67 episodes brings this up to 99%!
So the next time you tune in to your favorite syndicated TV show and are disappointed that you’ve already seen the episode, you can feel comforted that it’s not the network’s fault — it’s just math.
Extra credit: The birthday paradox can also be applied to why your iPod shuffle apparently keeps choosing the same songs to play. Although, that choice also seems to be influenced by the law that any random choice within a playlist will pick the worst song in the list.