WEBVTT - Short Stuff: Dunbar's Number

0:00:04.240 --> 0:00:06.520
<v Speaker 1>Hey, and welcome to the Short Stuff. Chuck's on a roll.

0:00:06.600 --> 0:00:09.480
<v Speaker 1>Let's get it up. Jerry's here too, Let's go it's

0:00:09.480 --> 0:00:10.280
<v Speaker 1>short stuff.

0:00:10.880 --> 0:00:14.120
<v Speaker 2>And speaking of Jerry, does this not start with a

0:00:14.160 --> 0:00:15.600
<v Speaker 2>Seinfeld ref?

0:00:15.800 --> 0:00:19.919
<v Speaker 1>Yeah, the Boyfriend episode part one.

0:00:19.360 --> 0:00:21.520
<v Speaker 2>I don't remember that one, walk me through it.

0:00:21.720 --> 0:00:24.000
<v Speaker 1>I don't remember the episode either, but I definitely remember

0:00:24.000 --> 0:00:26.680
<v Speaker 1>this part. So they're talking about meeting new friends in

0:00:26.720 --> 0:00:30.800
<v Speaker 1>your thirties and how it's just basically impossible to do that.

0:00:30.920 --> 0:00:33.680
<v Speaker 1>I think Jerry says, whatever group you've got is the

0:00:33.680 --> 0:00:36.440
<v Speaker 1>one you're going with. You're not interviewing, you're not looking

0:00:36.479 --> 0:00:39.880
<v Speaker 1>at any new people, not interested in seeing any applications.

0:00:41.200 --> 0:00:44.680
<v Speaker 1>And it's such a truism, like, as you get older,

0:00:45.080 --> 0:00:48.080
<v Speaker 1>the chances of you making new friends or especially adding

0:00:48.120 --> 0:00:54.000
<v Speaker 1>to your group, especially pre social media, was really low.

0:00:54.240 --> 0:00:57.520
<v Speaker 1>The chances were relatively low, especially compared to how you

0:00:57.560 --> 0:01:01.080
<v Speaker 1>were as a kid. And it's not just necessarily because

0:01:01.080 --> 0:01:05.160
<v Speaker 1>you lose interest in it. You potentially max out your

0:01:05.200 --> 0:01:08.760
<v Speaker 1>friends by a certain age, say your thirties, And the

0:01:08.840 --> 0:01:11.120
<v Speaker 1>idea that we can even max out the number of

0:01:11.200 --> 0:01:15.080
<v Speaker 1>friends we have suggests that there's like some sort of

0:01:15.720 --> 0:01:20.880
<v Speaker 1>cognitive load that having friends puts on us and that

0:01:21.040 --> 0:01:23.880
<v Speaker 1>we can only do so much, so we are limited

0:01:23.880 --> 0:01:25.759
<v Speaker 1>to a certain amount of friends.

0:01:26.160 --> 0:01:29.039
<v Speaker 2>Well, my friend, I would agree that in most cases

0:01:29.080 --> 0:01:32.640
<v Speaker 2>that's true. But it's funny that I fly in the

0:01:32.640 --> 0:01:36.240
<v Speaker 2>face of this because I have met a lot of

0:01:36.280 --> 0:01:40.480
<v Speaker 2>friends since my thirties and in my forties even Wow,

0:01:41.040 --> 0:01:42.759
<v Speaker 2>But a lot of it is because of this job.

0:01:45.840 --> 0:01:48.320
<v Speaker 2>And you know me, I'm kind of a friend collector anyway. Sure,

0:01:50.320 --> 0:01:52.200
<v Speaker 2>And I just I don't know, I was just thinking

0:01:52.240 --> 0:01:54.920
<v Speaker 2>about it because of this stuff you sent me that, Like,

0:01:55.200 --> 0:01:57.480
<v Speaker 2>I've met a lot of really really good friends. You know,

0:01:57.520 --> 0:02:00.560
<v Speaker 2>I've got my my my crew from way way back,

0:02:00.600 --> 0:02:03.440
<v Speaker 2>from like high school and even college. But I've made

0:02:03.480 --> 0:02:07.160
<v Speaker 2>a bunch of new friends and some are really close,

0:02:07.320 --> 0:02:09.480
<v Speaker 2>but some are just sort of professional colleagues that I

0:02:09.520 --> 0:02:14.760
<v Speaker 2>consider friends. But it's interesting and I've really enjoyed meeting

0:02:14.840 --> 0:02:16.680
<v Speaker 2>new people in my thirties and forties.

0:02:16.760 --> 0:02:19.960
<v Speaker 1>That's awesome. Well, if this whole episode didn't make me

0:02:20.000 --> 0:02:22.639
<v Speaker 1>feel like a loser before, it definitely does now.

0:02:23.200 --> 0:02:25.079
<v Speaker 2>Well, I mean, you and I are different. You're you're

0:02:25.680 --> 0:02:31.320
<v Speaker 2>more likely to keep your your tribe small. True, and

0:02:31.360 --> 0:02:32.840
<v Speaker 2>there's nothing wrong with that either.

0:02:33.040 --> 0:02:34.760
<v Speaker 1>Well, it is how I put it.

0:02:35.200 --> 0:02:37.360
<v Speaker 3>Yeah, but there's no right way to be.

0:02:37.600 --> 0:02:39.720
<v Speaker 1>I know, I'm just teasing, of course, but.

0:02:39.680 --> 0:02:42.000
<v Speaker 2>I mean that's sort of the yin and yang of

0:02:42.080 --> 0:02:44.280
<v Speaker 2>us and why we work I think as partners.

0:02:44.560 --> 0:02:47.000
<v Speaker 1>So let me ask you this, then, Chuck, would you

0:02:47.080 --> 0:02:49.679
<v Speaker 1>say that your number of friends people you would call

0:02:49.760 --> 0:02:53.040
<v Speaker 1>friends to one degree or another, exceeds that one hundred

0:02:53.040 --> 0:02:53.600
<v Speaker 1>and fifty.

0:02:54.120 --> 0:02:55.800
<v Speaker 3>Well, no, that's a lot of friends.

0:02:56.040 --> 0:02:58.360
<v Speaker 1>It is a lot of friends. And the reason that

0:02:58.360 --> 0:03:00.680
<v Speaker 1>that numbers even out there is because of a British

0:03:00.680 --> 0:03:06.400
<v Speaker 1>anthropologist I believe from Oxford named Robin Dunbar, who I'm

0:03:06.400 --> 0:03:08.840
<v Speaker 1>just going to say it became obsessed with the idea

0:03:09.520 --> 0:03:14.760
<v Speaker 1>that there was a magic number, a limited number of friends,

0:03:15.440 --> 0:03:18.520
<v Speaker 1>which is, okay, that's something in and of itself, but

0:03:18.639 --> 0:03:21.920
<v Speaker 1>that you could actually predict the number of friends a

0:03:22.000 --> 0:03:26.360
<v Speaker 1>species would have based on the size of their neocortex.

0:03:26.400 --> 0:03:32.480
<v Speaker 2>Right, that there was a ratio between your neocortex and

0:03:32.880 --> 0:03:35.000
<v Speaker 2>the amount of people that you could It's almost like

0:03:35.040 --> 0:03:38.120
<v Speaker 2>the amount of people you can manage before it starts

0:03:38.160 --> 0:03:42.440
<v Speaker 2>falling apart. And he studied, he studied this. He didn't

0:03:42.440 --> 0:03:45.640
<v Speaker 2>just come up with a number. He studied primates at first,

0:03:46.480 --> 0:03:49.880
<v Speaker 2>and you know, kind of at least in that world

0:03:49.880 --> 0:03:52.480
<v Speaker 2>found it to be true, and basically said, the size

0:03:52.480 --> 0:03:56.760
<v Speaker 2>of your neo cortex relative to your body size, and

0:03:56.800 --> 0:03:58.880
<v Speaker 2>that's the part of the brain that handles language right

0:03:59.280 --> 0:04:00.440
<v Speaker 2>in cognition mm hmm.

0:04:01.280 --> 0:04:05.280
<v Speaker 1>And also like just managing people and interacting with people,

0:04:05.320 --> 0:04:06.720
<v Speaker 1>it starts there, which is.

0:04:06.640 --> 0:04:07.720
<v Speaker 3>How it figures in here.

0:04:08.600 --> 0:04:14.200
<v Speaker 2>But that ratio basically will limit how complex of a

0:04:14.280 --> 0:04:16.600
<v Speaker 2>cohort group that you can be a part of.

0:04:17.000 --> 0:04:20.560
<v Speaker 1>Right, And so he took these primate studies that he conducted,

0:04:21.240 --> 0:04:26.159
<v Speaker 1>doing fMRIs of neocortices of primates and then looking at

0:04:26.240 --> 0:04:28.679
<v Speaker 1>the size of their social groups, and then said, okay,

0:04:28.839 --> 0:04:31.880
<v Speaker 1>let's apply this to humans. Humans are social animals, we're primates.

0:04:33.160 --> 0:04:36.200
<v Speaker 1>Let's measure the size of the human average size of

0:04:36.200 --> 0:04:41.960
<v Speaker 1>the neocortext and a human and just guess, like or

0:04:41.960 --> 0:04:45.320
<v Speaker 1>I guess, extrapolate based on our findings, how big the

0:04:45.400 --> 0:04:48.560
<v Speaker 1>average human social network would be. And he did that,

0:04:48.640 --> 0:04:50.720
<v Speaker 1>and he came up with one hundred and fifty. And

0:04:50.760 --> 0:04:54.440
<v Speaker 1>then he set about finding things that proved it right.

0:04:54.640 --> 0:04:57.640
<v Speaker 2>But first he took a commercial break, and we'll be

0:04:57.720 --> 0:05:30.119
<v Speaker 2>right back to talk about what he discovered, all right,

0:05:30.160 --> 0:05:33.679
<v Speaker 2>so he landed on one fifty, and he it wasn't

0:05:33.760 --> 0:05:37.520
<v Speaker 2>just like friends. He looked at you know, working groups

0:05:37.560 --> 0:05:44.400
<v Speaker 2>and factories and military squadrons and you know, ancient villages

0:05:44.440 --> 0:05:47.200
<v Speaker 2>in England and Christmas card lists, all kinds of things,

0:05:47.960 --> 0:05:51.520
<v Speaker 2>and he found that one fifty sort of stuck in.

0:05:51.720 --> 0:05:54.960
<v Speaker 2>Anything above that it would either you know, people would

0:05:54.960 --> 0:05:56.839
<v Speaker 2>turn on each other and you know the case of

0:05:56.920 --> 0:06:00.320
<v Speaker 2>like many many years ago, or it would just come

0:06:00.360 --> 0:06:03.760
<v Speaker 2>to unwieldy to manage and splinter off into smaller groups.

0:06:04.080 --> 0:06:07.000
<v Speaker 1>Yeah, your Christmas card list goes over one fifty, all

0:06:07.040 --> 0:06:09.080
<v Speaker 1>the people on are going to turn against each other.

0:06:09.360 --> 0:06:09.720
<v Speaker 3>Uh huh.

0:06:10.760 --> 0:06:16.000
<v Speaker 1>So he also said that even more fascinatingly, beyond the

0:06:16.080 --> 0:06:19.720
<v Speaker 1>number one fifty, that's just one of several numbers that

0:06:19.760 --> 0:06:23.560
<v Speaker 1>pop up and mind bogglingly, they're all factors of five.

0:06:24.200 --> 0:06:24.640
<v Speaker 3>Yeah.

0:06:24.680 --> 0:06:28.120
<v Speaker 1>In fact, in fact, oh it seems super hinky. In fact,

0:06:28.120 --> 0:06:31.760
<v Speaker 1>he said, you have five the closest people, the people

0:06:31.800 --> 0:06:36.000
<v Speaker 1>you consider your loved ones, usually number five. After that,

0:06:36.080 --> 0:06:41.720
<v Speaker 1>you've got fifteen good friends, fifty friends, one hundred and

0:06:41.760 --> 0:06:48.560
<v Speaker 1>fifty meaningful contactskay, five hundred acquaintances, fifteen hundred people you

0:06:48.600 --> 0:06:52.680
<v Speaker 1>can recognize. No and then he said also like this

0:06:52.800 --> 0:06:56.400
<v Speaker 1>is not these aren't like static lists, Like depending on

0:06:56.520 --> 0:07:00.520
<v Speaker 1>how frequently you interact with these people, somebody from your

0:07:00.960 --> 0:07:04.640
<v Speaker 1>recognized group can end up becoming one of your good

0:07:04.640 --> 0:07:06.719
<v Speaker 1>friends if you see them enough and you hit it

0:07:06.760 --> 0:07:09.520
<v Speaker 1>off and you connect, so you know, they're not locked

0:07:09.560 --> 0:07:12.560
<v Speaker 1>in any list, and you know your loved ones can

0:07:12.600 --> 0:07:14.760
<v Speaker 1>turn on you and end up with its just people

0:07:14.800 --> 0:07:17.560
<v Speaker 1>you can recognize. Who knows it depends on how your

0:07:17.600 --> 0:07:18.120
<v Speaker 1>life goes.

0:07:18.760 --> 0:07:23.000
<v Speaker 2>Yeah, and obviously it's a you know, it's in an arrange.

0:07:23.040 --> 0:07:27.920
<v Speaker 2>If you're an extrovert, you might have more you know, acquaintances.

0:07:27.960 --> 0:07:32.040
<v Speaker 2>At least I think they found that women have a

0:07:32.160 --> 0:07:35.600
<v Speaker 2>smaller number of I guess what would be considered good

0:07:35.600 --> 0:07:40.440
<v Speaker 2>friends than men do. Yeah. And it's interesting though that

0:07:40.680 --> 0:07:43.600
<v Speaker 2>some organizations and you got, you know, some of this

0:07:43.600 --> 0:07:46.440
<v Speaker 2>stuff from this was an article on the BBC.

0:07:46.080 --> 0:07:49.560
<v Speaker 1>BBC Courts Biology Letters, a few others good stuff.

0:07:49.600 --> 0:07:52.400
<v Speaker 2>But some organizations have sort of adhere to this, like

0:07:52.400 --> 0:07:55.560
<v Speaker 2>they buy into it, like the Swedish Tax Authority. Apparently

0:07:56.440 --> 0:07:58.640
<v Speaker 2>with their offices they don't have more than one hundred

0:07:58.640 --> 0:08:01.520
<v Speaker 2>and fifty people in any like particular location.

0:08:01.360 --> 0:08:03.600
<v Speaker 1>Which is hilarious I saw it pointed out in one

0:08:03.600 --> 0:08:06.080
<v Speaker 1>of our sources. I don't remember which one they said.

0:08:06.240 --> 0:08:08.920
<v Speaker 1>I guess the Swedish tax authority is just presuming that

0:08:09.000 --> 0:08:12.400
<v Speaker 1>its employees don't have friends or loved ones outside of work,

0:08:12.960 --> 0:08:15.720
<v Speaker 1>because that totally undermines their entire pursuit. There.

0:08:16.440 --> 0:08:19.440
<v Speaker 2>Oh, interesting, you know, I see what you mean. Yeah, yeah,

0:08:19.480 --> 0:08:22.520
<v Speaker 2>And some people say this is all bunk anyway. Some

0:08:22.560 --> 0:08:24.880
<v Speaker 2>people say it's completely bunk, and then some people say

0:08:25.080 --> 0:08:26.920
<v Speaker 2>there's something to that. But I just don't know about

0:08:26.960 --> 0:08:28.440
<v Speaker 2>that one fifty number, right.

0:08:28.560 --> 0:08:32.040
<v Speaker 1>So people have studied this and performed their own their

0:08:32.080 --> 0:08:35.360
<v Speaker 1>own studies and have tried to reproduce Dunbar studies and

0:08:35.400 --> 0:08:38.120
<v Speaker 1>have come up with different numbers. But they can come

0:08:38.200 --> 0:08:40.280
<v Speaker 1>up with a number. It's just some of them are

0:08:40.280 --> 0:08:42.959
<v Speaker 1>like two hundred and ninety. I saw one of them

0:08:42.960 --> 0:08:45.720
<v Speaker 1>came up with six hundred and eleven. But the thing is,

0:08:46.200 --> 0:08:51.840
<v Speaker 1>Dunbar was convinced that it was a regression line where

0:08:52.200 --> 0:08:55.920
<v Speaker 1>there was a there was a The data forms basically

0:08:55.920 --> 0:08:59.360
<v Speaker 1>a bell curve where the average is the highest point

0:08:59.440 --> 0:09:02.400
<v Speaker 1>and then the outliers are the smallest. And what a

0:09:02.440 --> 0:09:05.880
<v Speaker 1>bunch of other studies have found is that it's probably

0:09:05.920 --> 0:09:08.800
<v Speaker 1>actually what's called it power law, which is a huge

0:09:08.840 --> 0:09:12.360
<v Speaker 1>steep curve that starts really high and then comes down

0:09:12.400 --> 0:09:15.480
<v Speaker 1>and then evens out toward the bottom. And power laws

0:09:15.520 --> 0:09:20.080
<v Speaker 1>happen when some people really skew the numbers upward. But

0:09:20.120 --> 0:09:23.520
<v Speaker 1>then most people have far far fewer, say, contacts than

0:09:23.559 --> 0:09:26.320
<v Speaker 1>those people who are the actual outliers, So rather than

0:09:26.360 --> 0:09:29.600
<v Speaker 1>the outliers being the fewest, the outliers have the most.

0:09:30.440 --> 0:09:31.360
<v Speaker 3>And yeah, that.

0:09:31.360 --> 0:09:34.120
<v Speaker 1>Changes a lot of stuff, so much so that I

0:09:34.160 --> 0:09:37.680
<v Speaker 1>saw there's a one study that found that the ninety

0:09:37.679 --> 0:09:42.400
<v Speaker 1>five percent confidence interval had a range of between four

0:09:42.559 --> 0:09:45.840
<v Speaker 1>and five hundred and twenty contacts that the average person had,

0:09:47.080 --> 0:09:49.640
<v Speaker 1>so they kind of thiderrate out the window. Yeah, exactly.

0:09:50.320 --> 0:09:52.920
<v Speaker 2>Wow, that's interesting. And of course, with the advent of

0:09:53.000 --> 0:09:57.559
<v Speaker 2>social media in more recent years, depending on what how

0:09:57.600 --> 0:10:01.040
<v Speaker 2>old you are, you might you know, some people our

0:10:01.120 --> 0:10:04.520
<v Speaker 2>age might not consider those people friends, even though they

0:10:04.559 --> 0:10:06.880
<v Speaker 2>may be like Facebook friends, even though neither one of

0:10:06.960 --> 0:10:07.800
<v Speaker 2>us are on Facebook, you know.

0:10:07.800 --> 0:10:08.280
<v Speaker 3>What I'm saying.

0:10:09.840 --> 0:10:13.000
<v Speaker 2>Whereas I think a younger generation might say like, oh no,

0:10:13.120 --> 0:10:17.280
<v Speaker 2>those are my friends and my gaming network that I

0:10:17.320 --> 0:10:19.400
<v Speaker 2>play like, these people are my friends. We never met

0:10:19.480 --> 0:10:24.240
<v Speaker 2>or anything. So the idea of what friendship is means

0:10:24.280 --> 0:10:26.440
<v Speaker 2>different things to different people, and a lot of times

0:10:26.800 --> 0:10:29.000
<v Speaker 2>depending on how old you are, what generation you're in.

0:10:29.120 --> 0:10:33.000
<v Speaker 1>Right, And then Dunbar was saying that even still he

0:10:33.160 --> 0:10:36.800
<v Speaker 1>sees the same things hold on the online world as well.

0:10:37.800 --> 0:10:40.480
<v Speaker 1>In that BBC article, he puts it that it's like

0:10:40.600 --> 0:10:43.000
<v Speaker 1>the same design features of the human mind that are

0:10:43.040 --> 0:10:46.320
<v Speaker 1>imposing constraints on the number of individuals like in the

0:10:46.360 --> 0:10:51.079
<v Speaker 1>real world also do so in the gaming world as well. Yeah,

0:10:51.120 --> 0:10:54.080
<v Speaker 1>you know, which is pretty interesting. And then you also

0:10:54.240 --> 0:10:56.000
<v Speaker 1>chuck us to wrap it up. You might be sitting

0:10:56.040 --> 0:10:58.520
<v Speaker 1>there like this is all fascinating, but it just feels

0:10:58.559 --> 0:11:01.880
<v Speaker 1>like navel gazing to me. Why does any of this matter? Right, Well,

0:11:01.920 --> 0:11:05.240
<v Speaker 1>if you're like a demographer or an economist, coming up

0:11:05.280 --> 0:11:11.240
<v Speaker 1>with a way to reliably predict group size starting at

0:11:11.240 --> 0:11:15.400
<v Speaker 1>the individual level, would let you count huge groups like

0:11:15.480 --> 0:11:18.240
<v Speaker 1>really accurately, would let you count groups that are hard

0:11:18.320 --> 0:11:21.079
<v Speaker 1>to count, like victims of crimes who don't come forward,

0:11:21.640 --> 0:11:26.800
<v Speaker 1>the homeless. There's a lot of people whose entire field

0:11:26.840 --> 0:11:29.800
<v Speaker 1>would be revolutionized by being able to look at the

0:11:29.840 --> 0:11:34.440
<v Speaker 1>size of a cortex and predict the number of people

0:11:34.559 --> 0:11:37.760
<v Speaker 1>that person is friends with, but it just doesn't seem

0:11:37.840 --> 0:11:40.760
<v Speaker 1>to be fully holding up. It holds up enough that

0:11:40.800 --> 0:11:44.360
<v Speaker 1>the Dunbar Dunbar's number has stuck around this long, but

0:11:44.400 --> 0:11:48.199
<v Speaker 1>it's it's not just proving reliable in case after case.

0:11:48.800 --> 0:11:50.839
<v Speaker 2>Yeah, you know, I kind of went down this rabbit

0:11:50.880 --> 0:11:54.520
<v Speaker 2>hole interestingly recently because when I went to LA for

0:11:54.640 --> 0:11:55.199
<v Speaker 2>spring break?

0:11:55.280 --> 0:11:56.480
<v Speaker 1>Did you make more friends there?

0:11:57.000 --> 0:11:57.160
<v Speaker 3>No?

0:11:57.200 --> 0:12:02.520
<v Speaker 2>I didn't make any friends that week, maybe, but I

0:12:02.600 --> 0:12:04.800
<v Speaker 2>was I wanted to throw I rented this house up

0:12:04.840 --> 0:12:07.200
<v Speaker 2>in the Hollywood Hills with the pool, and I was like, hey,

0:12:07.400 --> 0:12:09.200
<v Speaker 2>you know, I get to go back to LA and

0:12:09.400 --> 0:12:12.840
<v Speaker 2>live like a hot shot for a week, and I

0:12:12.920 --> 0:12:15.320
<v Speaker 2>wanted to throw a party, like a pool party, because

0:12:15.320 --> 0:12:16.720
<v Speaker 2>I have a lot of friends out there with kids,

0:12:16.720 --> 0:12:19.240
<v Speaker 2>and so I've made a list and that went. I

0:12:19.280 --> 0:12:21.400
<v Speaker 2>went down that rabbit hole of making a list of

0:12:21.400 --> 0:12:24.120
<v Speaker 2>my LA friends and I'm looking at it now and

0:12:24.160 --> 0:12:27.120
<v Speaker 2>it was like, you know, a list of friends. And

0:12:27.160 --> 0:12:32.360
<v Speaker 2>then I even made a second list of fringe.

0:12:31.360 --> 0:12:32.880
<v Speaker 3>So like people I consider my friends.

0:12:32.800 --> 0:12:36.280
<v Speaker 2>Like Joe Randazzo and Janet Varney and her partner Brand

0:12:36.280 --> 0:12:39.360
<v Speaker 2>and like people that I'm like tight with, Like I

0:12:39.400 --> 0:12:42.680
<v Speaker 2>consider those people people like if they needed something, I

0:12:42.679 --> 0:12:44.920
<v Speaker 2>would be there for them, no matter what kind of

0:12:44.920 --> 0:12:49.199
<v Speaker 2>friends a friend. And then the fringe was everything from

0:12:49.400 --> 0:12:52.000
<v Speaker 2>professional colleagues that I've met here and there over the years,

0:12:53.360 --> 0:12:56.000
<v Speaker 2>all the way down to like I had this personal

0:12:56.040 --> 0:12:59.000
<v Speaker 2>movie crush once and we really hit it off that day, right,

0:12:59.520 --> 0:13:01.840
<v Speaker 2>but he didn't keep in touch at all. But I

0:13:01.960 --> 0:13:04.240
<v Speaker 2>just invited everyone. I just threw a really cast a

0:13:04.280 --> 0:13:05.839
<v Speaker 2>wide net and like a.

0:13:05.800 --> 0:13:06.600
<v Speaker 3>Lot of people came.

0:13:06.640 --> 0:13:08.800
<v Speaker 2>That really surprised me, And it was kind of fun

0:13:08.840 --> 0:13:11.360
<v Speaker 2>and cool to have all these different people from thirty

0:13:11.440 --> 0:13:13.680
<v Speaker 2>years of my life, because some people went way back

0:13:13.720 --> 0:13:16.680
<v Speaker 2>with me from Atlanta that live out there. Yeah, and

0:13:16.720 --> 0:13:18.959
<v Speaker 2>it was just kind of interesting to look at this

0:13:19.080 --> 0:13:22.439
<v Speaker 2>list of people and now how it relates to this episode.

0:13:22.720 --> 0:13:25.000
<v Speaker 1>So you had new friends and old friends mingling together.

0:13:25.040 --> 0:13:25.600
<v Speaker 1>How did it go?

0:13:26.200 --> 0:13:28.840
<v Speaker 2>It was great people that like a lot of the

0:13:28.960 --> 0:13:31.079
<v Speaker 2>very little crossovers, so a lot of people didn't most

0:13:31.120 --> 0:13:34.040
<v Speaker 2>people didn't know one another and just getting to know

0:13:34.080 --> 0:13:36.280
<v Speaker 2>each other, and it was like, it was fun, It

0:13:36.360 --> 0:13:36.920
<v Speaker 2>was really neat.

0:13:37.160 --> 0:13:39.480
<v Speaker 1>I could see putting your old friends and new friends

0:13:39.480 --> 0:13:43.360
<v Speaker 1>together as a relatively low risk exercise because friends of

0:13:43.440 --> 0:13:45.560
<v Speaker 1>Chucks aren't going to not get along with other friends

0:13:45.600 --> 0:13:47.520
<v Speaker 1>of Chucks. You know, it was all good folks.

0:13:47.559 --> 0:13:50.600
<v Speaker 2>And you know what, big congratulations our buddy Josh Beerman.

0:13:50.679 --> 0:13:54.160
<v Speaker 2>You remember Josh. Yeah, he came and I didn't expect

0:13:54.240 --> 0:13:56.080
<v Speaker 2>him to come. And he walks in with a brand

0:13:56.120 --> 0:13:56.640
<v Speaker 2>new baby.

0:13:57.080 --> 0:13:58.280
<v Speaker 1>Oh wow was it his?

0:13:58.840 --> 0:13:59.600
<v Speaker 3>Yeah?

0:13:59.440 --> 0:14:01.800
<v Speaker 2>Okay, talk about a fun way to enter a party.

0:14:01.840 --> 0:14:03.240
<v Speaker 2>I was like, oh my god, you get You've got

0:14:03.240 --> 0:14:05.840
<v Speaker 2>this great, great new baby. And it was kind of

0:14:05.840 --> 0:14:07.480
<v Speaker 2>a fun reveal, very nice.

0:14:08.440 --> 0:14:11.040
<v Speaker 1>He had a cape that that made me reveal even better.

0:14:11.080 --> 0:14:14.720
<v Speaker 1>He's like, I've got a baby. Holy cow. Uh well,

0:14:14.760 --> 0:14:16.319
<v Speaker 1>I guess that's it for short stuff, right.

0:14:16.880 --> 0:14:18.720
<v Speaker 3>I think that means we're out right yes.

0:14:21.160 --> 0:14:21.200
<v Speaker 1>You.

0:14:22.040 --> 0:14:24.920
<v Speaker 3>Stuff you should Know is a production of iHeartRadio. For

0:14:25.000 --> 0:14:29.160
<v Speaker 3>more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts,

0:14:29.280 --> 0:14:31.120
<v Speaker 3>or wherever you listen to your favorite shows.