WEBVTT - Short Stuff: Birthday Paradox

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<v Speaker 1>Hey, and welcome to the Short Stuff. I'm Josh, and

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<v Speaker 1>there's Chuck. Jerry's hanging out and Dave is here in

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<v Speaker 1>spirit as always and this is short stuff. And Chuck,

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<v Speaker 1>I have a question for you about this one. Why

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<v Speaker 1>would you do this to us? Why it gets this math? Yes,

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<v Speaker 1>it's not just math. It's famously incomprehensible math. I'm going

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<v Speaker 1>to talk about it and explain it, so thank you

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<v Speaker 1>for that. Yeah, I will say that uh Lori L.

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<v Speaker 1>Dove from house stuff works dot com did a pretty

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<v Speaker 1>good job of of explaining it, I think. Um, but

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<v Speaker 1>I picked this because let me tell you a little

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<v Speaker 1>story real quick, since it's short stuff. Flashback to um

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<v Speaker 1>seven and a half years ago. Okay, allow me when

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<v Speaker 1>uh Emily and I were waiting on our daughter to

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<v Speaker 1>be born. We were adopting her and just she was

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<v Speaker 1>late and late and late, and I was like, jeez,

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<v Speaker 1>when is this kid going to come out? And finally

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<v Speaker 1>when she was born, I was like, oh, I'm curious

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<v Speaker 1>what celebrities she shares a birthday with. And you know,

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<v Speaker 1>I had a lot in my mind at the time,

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<v Speaker 1>so I wasn't thinking if it I knew anyone personally

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<v Speaker 1>and I went to Celebrity Birthdays dot com or whatever

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<v Speaker 1>the website is, and I saw your face, and two

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<v Speaker 1>things happen. Three things happen. Uh. The first thing that

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<v Speaker 1>happened was you gotta be kidding me seriously. The second

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<v Speaker 1>thing that happened was, oh, that's actually really great because

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<v Speaker 1>I'll never forget Josh's birthday like my whole life, and

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<v Speaker 1>it's kind of cool that you guys share a birthday.

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<v Speaker 1>And then the third thing was what is Josh doing

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<v Speaker 1>on Celebrity Birthdays dot com? And why am I not

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<v Speaker 1>on it? Well, my friend, I have an update for

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<v Speaker 1>you because you told that story not too long ago

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<v Speaker 1>and it got me into action. So I used whatever

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<v Speaker 1>cloud I might have at Famous Birthdays dot com and

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<v Speaker 1>um dominated you to be on the site as well.

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<v Speaker 1>So hopefully I'm hoping that they will listen and then

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<v Speaker 1>get you up there on before your birthday. So that

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<v Speaker 1>could be even more embarrassing and more egg on my

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<v Speaker 1>face if they go, no, you deserve it. I even said,

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<v Speaker 1>I was like, he's at least as famous as I am.

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<v Speaker 1>If I'm from there, he should be on there too,

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<v Speaker 1>So it just seems right, you know. So you guys

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<v Speaker 1>share birthday, which is very cool and awesome and fun,

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<v Speaker 1>and I just think it's lovely. Now. Even though it's

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<v Speaker 1>initially like what because you don't want to, like I

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<v Speaker 1>don't know something about sharing birthdays, some people can get

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<v Speaker 1>a little selfish, be like I want my birthday to myself.

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<v Speaker 1>But what we're talking about is sharing birthdays. And what

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<v Speaker 1>are the odds of sharing birthdays with someone? You would

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<v Speaker 1>think it would be one in three d and sixty Yeah,

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<v Speaker 1>And actually I think if you, um put two people

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<v Speaker 1>in a room together, that is the odd although I'm

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<v Speaker 1>sure I'm wrong about it right out of the gate. No,

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<v Speaker 1>I am wrong. I was. There's a one in three

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<v Speaker 1>hundred and sixty four chance if you put two people

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<v Speaker 1>in a room together. The thing is, um, if you

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<v Speaker 1>start putting more people in the room together, the chances

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<v Speaker 1>don't increase linearly. It's not if you put three people

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<v Speaker 1>in the room. It's not like there's a three in

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<v Speaker 1>three hundred and sixty four chance. Man, math, It's not

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<v Speaker 1>like it just increases linearly, like one after the other

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<v Speaker 1>after the other. It starts to increase exponentially, and what

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<v Speaker 1>you end up with is what's called the birthday paradox,

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<v Speaker 1>which if you say that to anyone who knows anything

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<v Speaker 1>about math, they will laugh at you and say, it's

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<v Speaker 1>not actually a paradox. It's just that most people don't

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<v Speaker 1>understand it. We really call it the birthday problem. Yeah,

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<v Speaker 1>because here's the thing. And the more you read about this,

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<v Speaker 1>and the more mathematicians you talk to, they all kind

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<v Speaker 1>of very like they kind of pat you on the

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<v Speaker 1>head and laugh a little bit and say, oh, you

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<v Speaker 1>norms are not very good at calculating things exponentially correct

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<v Speaker 1>like we are. We are very good at it because

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<v Speaker 1>we have studied it and trained to do so. But

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<v Speaker 1>you people, just your little p brains just don't think

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<v Speaker 1>that way, and so you do very rudimentary math that

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<v Speaker 1>is completely wrong when it comes to figuring out like

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<v Speaker 1>the odds of sharing or odds of a lot of things,

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<v Speaker 1>but the odds of sharing your birthday, right and there.

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<v Speaker 1>It's true. They don't have to say it, but it

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<v Speaker 1>is true. It is true. I say, we take a

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<v Speaker 1>break and then we come back and explain what the

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<v Speaker 1>heck is going on here? How about that? Let's do it, okay, Chuck,

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<v Speaker 1>So we should set up the birthday problem or birthday

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<v Speaker 1>paradox to you and me, The question is this, how

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<v Speaker 1>large is a group of people, random people where every

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<v Speaker 1>day of the year, excluding leap years, has an equal

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<v Speaker 1>chance of, um being somebody's birthday, and there are no twins,

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<v Speaker 1>it's all individual people. How many people do you have

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<v Speaker 1>to get in the group before two of them will

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<v Speaker 1>share a birthday? That's right? Wow, did you do that

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<v Speaker 1>off of off of your dome? Know that that's the answer.

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<v Speaker 1>The larger the group you have, the greater the odds

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<v Speaker 1>are obviously, um. So it Yeah, it's an exponential math problem,

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<v Speaker 1>and our brains don't generally think that way. So what

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<v Speaker 1>you have to do is you have to look at

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<v Speaker 1>the number of people in a room. Let's say you

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<v Speaker 1>got your twenty three people, and if you're comparing just

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<v Speaker 1>yourself to the under other twenty two people in the room,

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<v Speaker 1>then you're just gonna end up with those twenty two comparisons.

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<v Speaker 1>But when you're talking about exponential math, you can't just

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<v Speaker 1>look at the one person in that room. You have

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<v Speaker 1>to compare that probability for all the people in the room.

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<v Speaker 1>So the first person would say, all right, I have

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<v Speaker 1>those twenty two comparisons. Then the next person would step

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<v Speaker 1>up and do the comparison, but there would be one

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<v Speaker 1>less because they've already been compared to the one first person.

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<v Speaker 1>And so on and so on until you get to

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<v Speaker 1>the last person. Yeah. Our syllopsism uh misguides us in

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<v Speaker 1>this case because we fail to think about all the

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<v Speaker 1>other people who connect with other people. Right. So I've

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<v Speaker 1>seen a couple of ways to do this. One way

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<v Speaker 1>is to say, um that if you have twenty three

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<v Speaker 1>people in a in a room, Um, you have twenty

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<v Speaker 1>three people times twenty two um possible pairings. Divide that

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<v Speaker 1>number by two, and what you end up with is

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<v Speaker 1>two and fifty three. Okay, that's a really simple easy

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<v Speaker 1>way that Ted Ed taught me to do it. But

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<v Speaker 1>you have to get to the number. Let me put

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<v Speaker 1>it in a different way, Chuck. For that formula, Let's

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<v Speaker 1>say you have five people. Five people have UM twenty

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<v Speaker 1>possible pairings, right, Okay, because if you if you connect

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<v Speaker 1>each person one time, you're gonna come up with twenty

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<v Speaker 1>possible pairings. But half of those are redundant. Right, So

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<v Speaker 1>connecting A to B in person B two A is

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<v Speaker 1>the same thing. That's why you divide that number by two, right,

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<v Speaker 1>so you got five times four equals twenty divided by two,

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<v Speaker 1>which means you have ten genuinely possible pairings in total.

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<v Speaker 1>Another way to do it, to get to the number

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<v Speaker 1>is you take that one the first comparison, three hundred

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<v Speaker 1>and sixty four to three hundred and sixty five divided

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<v Speaker 1>by three sixty five, and then for the next person,

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<v Speaker 1>three hundred sixty three divided by three sixty five, and

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<v Speaker 1>the next person three sixty two, and so on and

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<v Speaker 1>so forth. And if you do that for twenty three

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<v Speaker 1>different people and you take each to the products of

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<v Speaker 1>those equations, all those little little tiny percentages, and multiply them,

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<v Speaker 1>what you come up with is forty nine point eight

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<v Speaker 1>three percent, which means that what you've just done is

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<v Speaker 1>show that there is a forty nine point three percent

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<v Speaker 1>that they're not going to have a birthday. And then

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<v Speaker 1>you just figure out the inverse of that, and you

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<v Speaker 1>come up with a fifty point seventeen percent chance with

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<v Speaker 1>twenty three people that um two of them are going

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<v Speaker 1>to share the same birthday. And again it's because you're

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<v Speaker 1>not coming up with twenty three comparisons, there's two hundred

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<v Speaker 1>and fifty three comparisons, and of just three hundred and

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<v Speaker 1>sixty five days in a year. That's right, I guess.

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<v Speaker 1>The last part of because there's sort of the third

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<v Speaker 1>way to do it, which I kind of started but

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<v Speaker 1>didn't even really finish, is you know, you make those

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<v Speaker 1>twenty two comparisons that first person does, and then the

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<v Speaker 1>next person makes twenty one comparisons, next person makes nineteen

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<v Speaker 1>again because they've already made those other comparisons, and all

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<v Speaker 1>you do is add those numbers all up, you know,

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<v Speaker 1>so on on so on, and adding those together will

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<v Speaker 1>eventually lead to those two hundred and fifty three comparisons

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<v Speaker 1>or combinations of comparisons. Rather, so there's something that escapes me.

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<v Speaker 1>We just generally explained it well. Although I'm sure there's

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<v Speaker 1>some people out there cringing, laughing, crying, who who know

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<v Speaker 1>about this kind of stuff. They're like, this is just

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<v Speaker 1>the saddest thing I've ever heard. We generally explained it.

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<v Speaker 1>I still don't understand how two hundred and fifty three

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<v Speaker 1>comparisons for a possible pool of three hundred and sixty

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<v Speaker 1>five dates leads to a fifty percent chance for three people.

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<v Speaker 1>It doesn't make sense. I'm just airing a grievance really

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<v Speaker 1>more than anything, I don't understand it at all. Um.

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<v Speaker 1>The upshot of it, though, is that, um, when you

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<v Speaker 1>get to seventy people, the pairings have grown so exponentially that, um,

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<v Speaker 1>there's a ninet greater than a ninety nine percent chance

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<v Speaker 1>that there will be a pair of people that share

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<v Speaker 1>a birthday. Again, though we're talking about more than two thousand,

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<v Speaker 1>um comparisons for three hundred and sixty five days. Why

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<v Speaker 1>is that not like five percent chance that there's going

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<v Speaker 1>to be two people that have the same birthday? Yeah,

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<v Speaker 1>I don't know. Uh. With another kind of cool thing

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<v Speaker 1>that was um that Laurie from the House Stuff Works

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<v Speaker 1>article included, which is just another kind of fun example

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<v Speaker 1>of how exponential growth works is and this is I think, um,

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<v Speaker 1>I think she might have interviewed a mathematician. Yeah, his

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<v Speaker 1>name is Frost. Oh yeah, he was laughing at you

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<v Speaker 1>and me the whole time and he doesn't even know us. Yeah,

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<v Speaker 1>he's the one that was like, yeah, you guys just

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<v Speaker 1>aren't very good at this. Uh. Is if you're like,

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<v Speaker 1>if you think of it in terms of money, and

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<v Speaker 1>the example that he used is, um, if you're going

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<v Speaker 1>to be offered a one penny on the first day,

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<v Speaker 1>then two pennies on the second, three pennies on the third,

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<v Speaker 1>and then so on so on for thirty days. It

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<v Speaker 1>might not seem like much money, but at the end

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<v Speaker 1>of the thirtieth day, that is ten point seven million dollars. Right.

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<v Speaker 1>Millionaires who are good at math love to do that

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<v Speaker 1>to people because they turned down this good deal, and

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<v Speaker 1>then they explained to them how it was a great

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<v Speaker 1>deal and they're so dumb. That's how the robber barons

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<v Speaker 1>hoodwinked the generation of people. That's right. Uh, can we

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<v Speaker 1>please end this torment? Yeah, I'm done, Okay, Choice stuff

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<v Speaker 1>is out. Stuff you Should Know is a production of

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