1 00:00:01,920 --> 00:00:06,440 Speaker 1: Welcome to brain Stuff production of I Heart Radio. Hi 2 00:00:06,559 --> 00:00:09,399 Speaker 1: brain Stuff, I'm Lauren Vogelbaum, and this episode is another 3 00:00:09,400 --> 00:00:13,160 Speaker 1: classic from our erstwhile host, Christian Sager. This one breaks 4 00:00:13,200 --> 00:00:16,079 Speaker 1: down the conundrum of the birthday paradox, which isn't a 5 00:00:16,079 --> 00:00:19,400 Speaker 1: true paradox, but rather a thought experiment in probability theory 6 00:00:19,800 --> 00:00:22,880 Speaker 1: and a good way of demonstrating exactly how bad we 7 00:00:23,040 --> 00:00:28,240 Speaker 1: humans are at probability math off the top of our heads. Hey, 8 00:00:28,280 --> 00:00:31,520 Speaker 1: brain Stuff, it's Christian Sager and today's question is what 9 00:00:31,760 --> 00:00:35,440 Speaker 1: is going on with the birthday paradox. You've probably heard 10 00:00:35,479 --> 00:00:38,320 Speaker 1: this one before, the idea that if there are twenty 11 00:00:38,360 --> 00:00:41,360 Speaker 1: people in a room, there's a fifty fifty chance that 12 00:00:41,479 --> 00:00:44,479 Speaker 1: two of them will have the same birthday. So how 13 00:00:44,520 --> 00:00:47,880 Speaker 1: can this be? Well, it really is called the birthday paradox, 14 00:00:48,000 --> 00:00:51,519 Speaker 1: and it turns out it's useful in several different areas, 15 00:00:51,760 --> 00:00:56,440 Speaker 1: for example, in cartography and hashing algorithms. You can try 16 00:00:56,480 --> 00:01:00,120 Speaker 1: it yourself the next time you're at a gathering of people. Know, 17 00:01:00,440 --> 00:01:03,520 Speaker 1: just ask everyone for their birthday. I mean, don't be 18 00:01:03,560 --> 00:01:06,720 Speaker 1: creepy about it. Play cool, say you know something like 19 00:01:06,760 --> 00:01:09,720 Speaker 1: I'm trying to prove this for science or whatever, and 20 00:01:09,840 --> 00:01:13,000 Speaker 1: it's likely that two people in this group will have 21 00:01:13,080 --> 00:01:16,240 Speaker 1: the same birthday, not around the same time, they will 22 00:01:16,280 --> 00:01:20,200 Speaker 1: have the exact same day. And this really surprises people. 23 00:01:20,560 --> 00:01:23,880 Speaker 1: So the reason isn't so surprising. It's because we're used 24 00:01:23,880 --> 00:01:29,200 Speaker 1: to comparing our particular birthdays with some other individuals particular birthday. So, 25 00:01:29,280 --> 00:01:32,240 Speaker 1: for example, you meet somebody randomly and you ask her 26 00:01:32,280 --> 00:01:34,760 Speaker 1: what her birthday is, the chance of the two of 27 00:01:34,800 --> 00:01:38,160 Speaker 1: you having the same birthday is only one out of 28 00:01:38,160 --> 00:01:42,080 Speaker 1: three hundred and sixty five, or four point to seven percent. 29 00:01:42,600 --> 00:01:46,440 Speaker 1: In other words, the probability of any two individuals having 30 00:01:46,440 --> 00:01:50,360 Speaker 1: the same birthday is low. Even if you asked twenty 31 00:01:50,400 --> 00:01:54,320 Speaker 1: individual people, the probability is still low, it's less than 32 00:01:54,440 --> 00:01:58,000 Speaker 1: five percent. It's natural that we feel like it's very 33 00:01:58,120 --> 00:02:00,640 Speaker 1: rare to meet anybody who has the same aimed birthday 34 00:02:00,680 --> 00:02:03,080 Speaker 1: as our own. But when you put twenty people in 35 00:02:03,080 --> 00:02:06,160 Speaker 1: a room, however, the thing that changes is the fact 36 00:02:06,200 --> 00:02:09,760 Speaker 1: that each of these twenty people is now asking each 37 00:02:09,800 --> 00:02:15,040 Speaker 1: of the other nineteen people about their birthday simultaneously. Each 38 00:02:15,080 --> 00:02:18,320 Speaker 1: individual person only has a small chance, less than a 39 00:02:18,360 --> 00:02:21,799 Speaker 1: five percent chance of success, but everyone's trying it at 40 00:02:21,800 --> 00:02:26,520 Speaker 1: the same time, and that increases the probability dramatically. So 41 00:02:26,560 --> 00:02:28,640 Speaker 1: the next time you're with a group of twenty or 42 00:02:28,680 --> 00:02:31,400 Speaker 1: thirty people, why not give it a try. You might 43 00:02:31,480 --> 00:02:38,280 Speaker 1: be surprised. Today's episode was written by Ben Bolan and 44 00:02:38,320 --> 00:02:41,040 Speaker 1: produced by Tyler Clang. Brain Stuff is production of I 45 00:02:41,080 --> 00:02:43,320 Speaker 1: Heart Radios has to Works. For more andes and lots 46 00:02:43,320 --> 00:02:46,080 Speaker 1: of other mathmagical topics, visit our home planet has toff 47 00:02:46,080 --> 00:02:48,959 Speaker 1: works dot com. Plus for more podcasts for heart Radio, 48 00:02:49,080 --> 00:02:51,600 Speaker 1: visit the iHeart Radio app, Apple Podcasts, or wherever you 49 00:02:51,639 --> 00:02:52,799 Speaker 1: listen to your favorite shows.