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Here’s a brain teaser for you: Imagine we’ve got a room full of people. We’re trying to figure if any two people in the room have the same birthday. For us to reach a fifty-percent probability that there are two people in the room with the exact same birthday, how many people need to be in the room? I told you this was a brain teaser, so suffice to say that the answer -- to how many people need to be in a room for there to be a fifty-percent probability that two people have the exact same birthday -- is not what you would intuitively expect. The “birthday problem” tells a lot about how we fail to see hidden complexity For the sake of this puzzle, let’s assume there are no twins, no leap year birthdays, and there are no seasonal variations. No spike in birthdays nine months after Christmas or some big snowstorm. Most people start with a rough calculation like this: There’s 365 days in a year, so for there to be two people in the room with the same birthday, take 365, divide it by two -- you’ve got about 180,