1 00:00:02,040 --> 00:00:07,200 Speaker 1: Welcome to brain Stuff from How Stuff Works. Hey, brain Stuff, 2 00:00:07,200 --> 00:00:10,520 Speaker 1: it's Christian saga and today's question is what is going 3 00:00:10,640 --> 00:00:14,520 Speaker 1: on with the birthday paradox. You've probably heard this one before, 4 00:00:14,840 --> 00:00:17,799 Speaker 1: the idea that if there are twenty people in a room, 5 00:00:17,840 --> 00:00:20,960 Speaker 1: there's a fifty fifty chance that two of them will 6 00:00:21,000 --> 00:00:23,920 Speaker 1: have the same birthday. So how can this be? Well, 7 00:00:24,040 --> 00:00:27,080 Speaker 1: it really is called the birthday paradox, and it turns 8 00:00:27,120 --> 00:00:31,000 Speaker 1: out it's useful in several different areas, for example, in 9 00:00:31,080 --> 00:00:35,519 Speaker 1: cartography and hashing algorithms. You can try it yourself the 10 00:00:35,560 --> 00:00:38,519 Speaker 1: next time you're at a gathering of people, you know, 11 00:00:38,800 --> 00:00:41,919 Speaker 1: just ask everyone for their birthday. I mean, don't be 12 00:00:41,960 --> 00:00:45,120 Speaker 1: creepy about it, play cool, say you know, something like 13 00:00:45,159 --> 00:00:48,120 Speaker 1: I'm trying to prove this for science or whatever. And 14 00:00:48,240 --> 00:00:51,360 Speaker 1: it's likely that two people in this group will have 15 00:00:51,479 --> 00:00:54,640 Speaker 1: the same birthday, not around the same time, they will 16 00:00:54,680 --> 00:00:58,600 Speaker 1: have the exact same day. And this really surprises people. 17 00:00:58,960 --> 00:01:02,280 Speaker 1: So the reason isn't so surprising. It's because we're used 18 00:01:02,280 --> 00:01:07,600 Speaker 1: to comparing our particular birthdays with some other individuals particular birthday. So, 19 00:01:07,680 --> 00:01:10,560 Speaker 1: for example, you meet somebody randomly and you ask her 20 00:01:10,680 --> 00:01:13,120 Speaker 1: what her birthday is, the chance of the two of 21 00:01:13,200 --> 00:01:16,560 Speaker 1: you having the same birthday is only one out of 22 00:01:16,560 --> 00:01:20,480 Speaker 1: three hundred and sixty five, or four point to seven percent. 23 00:01:21,000 --> 00:01:24,840 Speaker 1: In other words, the probability of any two individuals having 24 00:01:24,840 --> 00:01:28,760 Speaker 1: the same birthday is low. Even if you asked twenty 25 00:01:28,800 --> 00:01:32,720 Speaker 1: individual people, the probability is still low. It's less than 26 00:01:32,800 --> 00:01:36,400 Speaker 1: five percent. It's natural that we feel like it's very 27 00:01:36,520 --> 00:01:39,160 Speaker 1: rare to meet anybody who has the same birthday as 28 00:01:39,200 --> 00:01:42,400 Speaker 1: our own. But when you put twenty people in a room, however, 29 00:01:42,720 --> 00:01:45,160 Speaker 1: the thing that changes is the fact that each of 30 00:01:45,160 --> 00:01:48,680 Speaker 1: these twenty people is now asking each of the other 31 00:01:48,920 --> 00:01:55,080 Speaker 1: nineteen people about their birthday simultaneously. Each individual person only 32 00:01:55,160 --> 00:01:57,640 Speaker 1: has a small chance, less than a five percent chance 33 00:01:57,680 --> 00:02:01,480 Speaker 1: of success, but everyone's trying at the same time, and 34 00:02:01,640 --> 00:02:05,760 Speaker 1: that increases the probability dramatically. So the next time you're 35 00:02:05,800 --> 00:02:08,360 Speaker 1: with a group of twenty or thirty people, why not 36 00:02:08,440 --> 00:02:16,840 Speaker 1: give it a try. You might be surprised. Check out 37 00:02:16,880 --> 00:02:19,040 Speaker 1: the Brainsuff channel on YouTube, and for more on this 38 00:02:19,160 --> 00:02:35,720 Speaker 1: and thousands of other topics, visit how stuff works dot com.