Speaker 1: Welcome to stuff you should know from house stuff works
Speaker 1: dot com. Punky chucking, punky chucking, punky chucking. That's right, chuck.
Speaker 1: He and welcome to the podcast. I'm Josh Clark. Clearly,
Speaker 1: Chuck Bryant's here, and uh, let's talk about punkin Chunking.
Speaker 1: I guess you just kind of forced our hand, Chuck. Yes,
Speaker 1: the Road to Punkin Chunking and punkin Chunking. So that's on.
Speaker 1: That's on Science Channel a p m. Eastern Time on
Speaker 1: Thanksgiving night. Yeah, you can see some pumpkins get chunk punkins,
Speaker 1: get chunks punkins. Yeah, okay again Science Channel. The Road
Speaker 1: to punkin Chunkin starts at eight pm Eastern Time. Punkin
Speaker 1: chunk In Itself starts at nine Thanksgiving night. Yes, Science
Speaker 1: Channel on with the show. Yeah, chuck, Um, have you
Speaker 1: ever belonged to a population? No, man, I'm like, I'm
Speaker 1: totally independent. Screw population. You're like that guy who lives
Speaker 1: in the commune, right right, Yeah, Well the joke's on him,
Speaker 1: because a commune constitutes a population. Um, this sounds kind
Speaker 1: of boring, and you would think it is how population works.
Speaker 1: It actually started to pick up. Actually didn't know what
Speaker 1: it was even gonna be. When I saw how population works,
Speaker 1: I was like, what you know, it's awesome. This was
Speaker 1: my idea, this article was. I pinched it. Why didn't
Speaker 1: they let you write it? I don't know, jerks, I know,
Speaker 1: but the grabst did a good job with it. Oh yeah,
Speaker 1: the grabs is always good. Yeah, class, that's ed grab Ainowsky.
Speaker 1: By the way, right, So, UM, human beings marriage, human
Speaker 1: beings tend to um congregate. Yes, we segregate. Interestingly, that
Speaker 1: is an excellent You just blew my mind. Good lord chuck. Um. Well,
Speaker 1: let's get back to what I was saying. Unless you
Speaker 1: want to go on a segregation we'll get on that later. Um,
Speaker 1: humans congregate and segregate. But let's talk about congregation and that.
Speaker 1: UM most of the time, I would say, our early
Speaker 1: early ancestors, uh, and probably even other species congregate because
Speaker 1: there's safety and numbers and it helps like with farming,
Speaker 1: collecting water and food power numbers. But even before farming,
Speaker 1: um h hunter gatherers lived in bands. I think thirty
Speaker 1: was about tops. They figured out somewhere along the way
Speaker 1: that groups of thirty or groups of more than thirty,
Speaker 1: they're tending to be a lot more hostility and UM
Speaker 1: in a group problems. Have you ever tried to kill
Speaker 1: a mass it on by yourself? That's another good point too.
Speaker 1: There's cooperation masted on. Um. There's um. If if let's say,
Speaker 1: if you are farming and your crop fails, well you're
Speaker 1: not standing there like, well I'm in trouble. You can say, hey, neighbor, um,
Speaker 1: I'll totally give you favors of some variety if you
Speaker 1: will let me have some of your grain. Right, I'll
Speaker 1: give you a chicken. Let's say, sure, you can trade. Yeah,
Speaker 1: there's a lot of reasons people live together. So it's
Speaker 1: my theory that pepe will aggregate together naturally. Yes, And
Speaker 1: then there are people out there who get their jollies
Speaker 1: by studying these groups of people. They're called demographer demographers.
Speaker 1: So we have populations natural or otherwise. And let's say
Speaker 1: a natural population, uh today are people who live in
Speaker 1: a certain state Georgians. That's where we are, So that
Speaker 1: you have natural populations, and demographers study um right um,
Speaker 1: and they look at things like say, how many people
Speaker 1: in this natural population are Republicans or Democrat, or how
Speaker 1: many are Caucasian, or how many have um, how many
Speaker 1: live below the poverty line. All kinds of things you
Speaker 1: can study right by looking at a population and are
Speaker 1: are is this? Are these groups segregated like you brought up?
Speaker 1: You know, like if you study, uh, where different races
Speaker 1: are living? Are they living mingling? If so, then that's
Speaker 1: probably a fairly harmonious place hopefully. If not, why are
Speaker 1: they living apart? How do we fix this? Because it's
Speaker 1: probably a problem. Who knows, but yes, so demographers study
Speaker 1: populations natural or otherwise. Right. The problem is is you
Speaker 1: very few people have the ability to hover over the
Speaker 1: earth and use super binocular vision to study populations by side.
Speaker 1: Very few people. Yeah, like three or four I think tops.
Speaker 1: Uh so does that count as a statistic I think so? Okay, Richard,
Speaker 1: um so measuring populations after you can talk about how
Speaker 1: do we actually determine this kind of thing? Yeah, that
Speaker 1: was my sec That was that was a good segue.
Speaker 1: There's a kind of way, josh one is um by
Speaker 1: counting them literally counting them like it's counting every single person, right,
Speaker 1: and that is called complete enumeration. Yeah. Remember we talked
Speaker 1: about that poor guy who was killed or possibly kill
Speaker 1: himself in Kentucky. The census taker. Right, Oh, I didn't
Speaker 1: know that suicide was a possibility. There. I got a
Speaker 1: cryptic email from somebody never followed up on that said
Speaker 1: that he identified himself as a doctor and I think
Speaker 1: said that he was part of the group that was
Speaker 1: the medical examination team and said that they suspected, strongly
Speaker 1: suspected suicide. My problem with it is is how do
Speaker 1: you bind yourself in duct tape? How do you bind
Speaker 1: your own risks and duct tape? Okay, um, So my
Speaker 1: point is, wow, he threw me off of that one.
Speaker 1: My point is that he was called an enumerator, yes,
Speaker 1: literally counter, and that's the people who worked for the
Speaker 1: census whenever they had their their drive and they count
Speaker 1: and that's one way to determine it. Well, let's talk
Speaker 1: about the census. It's gone on every ten years since, right,
Speaker 1: And the reason they do it every ten years because
Speaker 1: it's a real pain in the asked to count every
Speaker 1: person in America. Yeah, the real reason they do it
Speaker 1: so they can Well there's a lot of reasons, but
Speaker 1: that is the reason why anyone's ever conducted a sense. Yeah. Well,
Speaker 1: plus they they determine the number of House representatives for
Speaker 1: your state based on population. Stuff like that. Oh yeah,
Speaker 1: there's that too. But you know, come on, Texas, did
Speaker 1: you know that um that that the census information is
Speaker 1: kept is kept secret for seventy two years? Yeah, aside
Speaker 1: from the numbers, I believe the public cannot see that
Speaker 1: information for seventy two years. Right, what do I seventy two?
Speaker 1: That's odd? It is odd. I wonder if that was
Speaker 1: the average lifespan at the time or something. Dude, that's
Speaker 1: got to be it. I'll bet you're right. Okay. The
Speaker 1: other way, Josh, is to uh do something called sampling,
Speaker 1: and that is when um statticians use a mathematical formula
Speaker 1: to determine the minimum number of people that must be counted,
Speaker 1: and then they multiply that out and basically end up
Speaker 1: getting a full population. And sometimes I did, I don't
Speaker 1: know this. That's even more accurate than an actual head count.
Speaker 1: You see that margin of error, it's like plus or
Speaker 1: minus for sent Yeah, you gotta have a margin of
Speaker 1: error there whenever you're sampling, right, because you're not actually
Speaker 1: going around asking every single person in America are you
Speaker 1: left handed? To determine how many people are left handed?
Speaker 1: But let's say you have a population of a thousand,
Speaker 1: and some statisticians been like, you need a hundred do it,
Speaker 1: but do your egghead voice. Yeah, you need a hundred
Speaker 1: and fifty people. The hundred and fifty people and that
Speaker 1: are left handed, and you can just multiply that out
Speaker 1: to determine that there are, in fact how many people,
Speaker 1: let's say, ten percent of the population of the population. Right,
Speaker 1: but your sample as perfect. Your sample has to be
Speaker 1: a random sample to be an effective sample. Yeah, and
Speaker 1: you know how they used to do that, Uh huh.
Speaker 1: Used to just pick it out of the phone book. Oh,
Speaker 1: I know and call people I know. And that makes
Speaker 1: sense to a certain extent. No, well, back then it
Speaker 1: made a little more sense. I would think it made
Speaker 1: it made less sense, especially if you're talking like nineteen
Speaker 1: fifty years. Well, it depends on what year. I'd say,
Speaker 1: in the night, teen eighties, it was probably a good way.
Speaker 1: But now there are cell phones. People in college probably
Speaker 1: don't have a phone. Poor people who don't have phones
Speaker 1: at all, people who don't have phone. Sure, so that's
Speaker 1: not a very good way. Because what about freight train
Speaker 1: writers of America? What's that they don't have phones? Yeah,
Speaker 1: good point. Yeah, they're not allowed. I don't think they
Speaker 1: want them. So sampling is a little harder than it seems. Yeah, right,
Speaker 1: especially coming up with a random population SANDOM sample of
Speaker 1: the population. Um. But okay, so so far we've talked
Speaker 1: about people and where they live. There's other ways to
Speaker 1: define a population. There's other attributes that people have that
Speaker 1: we use to lump into population. It's not just a
Speaker 1: geography when people think, um, populations, it's not just a
Speaker 1: city population or state. Yes, what an age? You have
Speaker 1: a population of age or continent, a demographic? What else? Location?
Speaker 1: Of course, socio economic Well population, let's talk about age.
Speaker 1: Why would you even want to know age? Who cares?
Speaker 1: People are old, people are young? Whatever? Right, Well, there's
Speaker 1: a lot of factors like, um, take the baby boom
Speaker 1: for instance, after World War Two, all these babies were born,
Speaker 1: so there was a bulge in the population, and I'd
Speaker 1: just like saying the word bulge. You got to do
Speaker 1: the air quote a quote. So, um, what that will
Speaker 1: show them then is wow, we got a bulge here.
Speaker 1: So that means probably in to sixty years, there's gonna
Speaker 1: be some serious buying power. Let's start borrowing as much
Speaker 1: money as we can right now. But it also means
Speaker 1: in seventy plus years that they they may be a
Speaker 1: medical burden and a burden on social security. So let's
Speaker 1: start borrowing as much money as we can right now,
Speaker 1: same same result there. I like that, and we'll get
Speaker 1: to bulges again in a little bit. But let's move on.
Speaker 1: Like you said, socioeconomic data, right, yeah, what what? Why
Speaker 1: would they want to do this job? This one I found.
Speaker 1: I find this the most interesting of all data. You
Speaker 1: can look at a bunch of people who are maybe
Speaker 1: related geographically, right, um, but other than that, aren't related
Speaker 1: in any other way. Uh, and all of them suddenly
Speaker 1: have this horrible cancer and they're just so happens to
Speaker 1: be some manufacturer or thereby what did you say, high
Speaker 1: tension wires, which has been proven I think to not
Speaker 1: actually have any effect on people, not in my buddy.
Speaker 1: Um so uh, Now, all of a sudden, you have
Speaker 1: this information thanks to your demographer friend who went and
Speaker 1: collected it, and um, you can say, okay, paint factory,
Speaker 1: you guys better start giving away some free paint, yeah,
Speaker 1: or we're gonna sue you. Race. That's a little little
Speaker 1: more hinky because technically there is no such thing as
Speaker 1: any difference in different races. I remember watching MTV years
Speaker 1: and years and years ago, and um, the VJ was
Speaker 1: interviewing the Beastie Boys and he was like, Mike D,
Speaker 1: I hear you're dating a black girl. You know, what's
Speaker 1: it like dating somebody from a different race? Which is
Speaker 1: just an asinine question to begin with, But I remember
Speaker 1: Mike D going there's only one race, the human race,
Speaker 1: And I was like, huh so that that was clearly
Speaker 1: before he was down with the Ione or no, that
Speaker 1: was ad Rock. Sorry, yeah, ad Rocks down with the
Speaker 1: IONI Yeah they're divorced though, so he's not down with
Speaker 1: her anymore, poor Ione. Uh So, Yeah, race is a
Speaker 1: little hinky, but you can't actually determine some um useful
Speaker 1: things when you study populations of race because of like,
Speaker 1: you know, it's important for people to be involved in
Speaker 1: their culture. Yeah, and and to hang onto that for sure.
Speaker 1: I guess racial profiling again. I don't know if I
Speaker 1: should say again or not, but it's such a hot
Speaker 1: button issue that yeah, I don't know. We need to
Speaker 1: talk about it collectively. That's my answer for everything. Everybody
Speaker 1: needs to get together and decide what we want to do. Okay, well,
Speaker 1: the other thing with race so is if there's a
Speaker 1: medical problem that's specific to that race, that can help
Speaker 1: out that exactly. Josh alright, So, Chuck, We've got all
Speaker 1: these different factors, attributes, variables. We've used the word demographer
Speaker 1: several times. Um, so we know that people study populations.
Speaker 1: One of the reasons why we study populations is to
Speaker 1: see how big it's getting. And I gotta tell you, buddy,
Speaker 1: the human population is kind of exploded on this planet
Speaker 1: in the last several thousand years. Yeah, but you know
Speaker 1: what they were reading these stats. There were a lot
Speaker 1: more people here way back when than I thought. Yeah. Again,
Speaker 1: favorite book of all time, Um, Charles C. Man. Yes,
Speaker 1: he basically points out that there is probably a hundred
Speaker 1: million people on the North American or on the in
Speaker 1: the America's uh in that's awesome, Yeah, which is a
Speaker 1: fifth of the world population is way more than anyone thought.
Speaker 1: And the reason why is because Columbus shows up. Smallpox
Speaker 1: just ravages both continents, and by the time the European
Speaker 1: settlers start coming for real, Uh, the places decimated. It
Speaker 1: seems like there's nobody there. Right. Well, he had the
Speaker 1: whole genocide. Two things you ever know about that Columbus
Speaker 1: I hear um his men used to like sharpen their
Speaker 1: knives on like the skulls of live um live natives. Well,
Speaker 1: there's the because genocide we talked about later on Um
Speaker 1: in the article. But there's uh speculation that Columbus may
Speaker 1: have been responsible for like the worst mass genocide in
Speaker 1: human history by completely wiping out the Tano Taino Indian people.
Speaker 1: And that was in Hispanielo, which is modern day I
Speaker 1: think Haiti and Dominican Republic. And they some people say
Speaker 1: there were only like five thousand of them, and some
Speaker 1: people say there as many as fifteen million at the
Speaker 1: time that were decimated to about two thousand. Decimated through
Speaker 1: violence or through disease. Yeah, well through violence, because Columbus
Speaker 1: came over, set up a camp in Hispaniola for about
Speaker 1: forty people, and then left, came back on trip number
Speaker 1: two and found that the Indian tribe there had killed
Speaker 1: all those people. So he went on to kill crazy
Speaker 1: rampage basically and completely wiped out the population. And they're
Speaker 1: saying it may have been like double the size of
Speaker 1: the Holocaust. So Happy Columbus Day, everybody, seriously, but we
Speaker 1: do mention that because genocide is is a way that
Speaker 1: a population can change rapidly. Well, let's talk about population growth. Yes,
Speaker 1: all right, so I guess about ten thousand BC, they
Speaker 1: estimate that there's between one and ten million humans. So
Speaker 1: we're starting to slowly grow because by one thousand BC
Speaker 1: there's fifty million, and then by six hundred CE UM
Speaker 1: we're at two mill And see that's a lot more
Speaker 1: than I thought. Yeah there would be at the time. Yeah,
Speaker 1: I think there was about five hundred million in the
Speaker 1: mid fifteenth century, so um, let's go. But let's say
Speaker 1: there's a five million in the mid fifteenth century. The
Speaker 1: twentieth century, the industrial revolutions happened, there's been great leaps
Speaker 1: in science and UM medicine. That's when populations really grow
Speaker 1: is during those big booms. Yeah, because it lends itself
Speaker 1: to fertility, higher and fertility and UM longer lifespans, good
Speaker 1: times breed kids. So the twentieth century hits were at
Speaker 1: one point five billion people and then this century the
Speaker 1: population of the world has quadruple. Yeah, and with like
Speaker 1: six billions. I know that that's it sounded like there
Speaker 1: should have been a drum roll there, but there was
Speaker 1: by that Jerry mnd have put one in there, our producer, Jerry,
Speaker 1: we'll find out later. Uh, And Josh, you are projecting.
Speaker 1: The U. S CSUS Bureau projects that by there will
Speaker 1: be ten billion people. Right. So the reason for this
Speaker 1: is what we call the malthusisant growth model. Mouth. This
Speaker 1: was a eighteenth century clergyman, Thomas huh he uh he actually,
Speaker 1: I guess inadvertently became one of the great economic theorists,
Speaker 1: and he figured out that population grows exponentially. Right, So
Speaker 1: if you have one million people and they have enough kids,
Speaker 1: double the population. But the next generation you have four
Speaker 1: million people. So in one full generation you've gone from
Speaker 1: one million to four million people. Right. Yeah, that's that's big,
Speaker 1: especially when the planet is finite in size and we
Speaker 1: don't have the ability to go colonize other planets yet. Right.
Speaker 1: But it's not necessarily that incremental and steady because of
Speaker 1: what we talked about, which are bulges or spikes and
Speaker 1: bottlenecks like genocide. Right. Yeah, so it doesn't always grow steadily.
Speaker 1: And actually, Chuck, if you heard of the replacement right now,
Speaker 1: the replacement rate is it's how many kids a woman
Speaker 1: has to have to have a high uh statistical probability
Speaker 1: of having a daughter, so that she in essence replaces herself.
Speaker 1: And right now it's two point three three is the
Speaker 1: replacement rate worldwide, And the point of it is to
Speaker 1: trend towards zero population growth. Right, So for every woman
Speaker 1: who dies, she has a daughter that can reproduce and
Speaker 1: and continue on and continue on and continue on. So
Speaker 1: you have overall as many people dying as they're being born.
Speaker 1: So there's no strain, right, and there's also no um dearth. Well,
Speaker 1: it's equilibrium that remot. Reading this reminded me of when
Speaker 1: we did our Big Econ audio book. It's kind of
Speaker 1: population kind of wants to seek equilibrium. I think, like, uh,
Speaker 1: just like economics does and now, and it doesn't always
Speaker 1: happen uh organically, I should say, it probably rarely happens organically. Well,
Speaker 1: let's think about um, like you said, the baby boom,
Speaker 1: post war success in in Europe and um, the US
Speaker 1: and Canada, I guess led to um a huge boom
Speaker 1: in the population. Nobody went to war to grow the population.
Speaker 1: It was just an indirect effect. So all of a
Speaker 1: sudden we had a population spike that created a bulge
Speaker 1: bulge if you will, things can go the other way
Speaker 1: to which is a bottleneck. Right. Yeah, and that's well
Speaker 1: we and I've got If I see genocide one more time,
Speaker 1: we should do a podcast in genocide. I wonder if
Speaker 1: there's a drinking game where every time I say genocide, genocide,
Speaker 1: drink um. Famine, disease. Uh, something called the plague I
Speaker 1: think wiped out like half the world population at one point,
Speaker 1: or half the population of Europe. They suspect that UM
Speaker 1: in uh the fifth century. That would be a c e.
Speaker 1: The plague of Justinian may have killed as many as
Speaker 1: half the world's population, a hundred million people. Unbelievable. Can
Speaker 1: you imagine walking around on at that time, like, holy crap,
Speaker 1: the entire half the world is dead, just died in
Speaker 1: the last couple of years. It's crazy. On the Black
Speaker 1: Death killed twenty to thirty million Europeans. So so plagues
Speaker 1: can happen. There's also UM. I was talking to an
Speaker 1: evolutionary geneticist this is my way UM recently, and he
Speaker 1: was talking about study he authored where they found two
Speaker 1: evolutionary bottlenecks, one coming out of Africa. Uh. They suggested
Speaker 1: a fifty thousand years ago, and another one that happened
Speaker 1: along the bearing Land Bridge, right, And he wasn't saying
Speaker 1: like all of a sudden a bunch of people died,
Speaker 1: but um, these bottlenecks turned up because big groups of
Speaker 1: people separating in smaller groups of people, which is which
Speaker 1: accounts for a loss of genetic diversity. So you have
Speaker 1: the founders effect. Because, as he put it, if you
Speaker 1: take um, if you go into a town and grabbed
Speaker 1: the first fifteen people you meet and say, let's go
Speaker 1: found a new town, that new town isn't to have
Speaker 1: a representative sample of all the surnames in that town.
Speaker 1: If you do that enough times, some surnames are going
Speaker 1: to be lost because people didn't reproduce or whatever. The
Speaker 1: same thing happens with jeans in genetic diversity. Look at you,
Speaker 1: good stuff? Thanks? Uh. Can I mention this place in
Speaker 1: Hong Kong, Yeah, we're talking about well we should mention.
Speaker 1: Population density is the number of humans per unit area
Speaker 1: whatever unit you you know, you choose to call it,
Speaker 1: And the highest ever is believed to have been a
Speaker 1: place called Kowloon Walled City in Hong Kong, and at
Speaker 1: one point evidently there were fifty thousand people in a
Speaker 1: mega block, which is five hundred by six fifty feet.
Speaker 1: Fifty thousand people stuffed in there, and apparently it was
Speaker 1: a lawless district. The grabster. She kidding me. People could
Speaker 1: conceivably get along. Yeah, hands across America style. Did you
Speaker 1: know that um in Athens when Widespread Panic played that
Speaker 1: free show, there was an estimated hundred some people. They're
Speaker 1: not one fight really, Yeah, that's because they were all
Speaker 1: on dope. The dope. I wasn't there. Were you there? Yeah?
Speaker 1: I never got into them, although I did hang out
Speaker 1: with that guy, the bass player day schools. Yeah, I
Speaker 1: hung out with him a couple of times, just through friends. Anyway. Uh,
Speaker 1: that that park is no, I'm sorry. It is now
Speaker 1: a park where the walled city used to be. Yeah,
Speaker 1: which is the opposite of the highest population. Ironically, it's
Speaker 1: just the park maybe the highest population of grass. But
Speaker 1: that's it. So what do we got here, Josh? We
Speaker 1: got um population control. It's something that we've referenced before
Speaker 1: with our China One Child policy. Yeah, and we talked
Speaker 1: about why you would want to control the population. A
Speaker 1: huge group of people put a strain on resources. When
Speaker 1: resources go away, you have resource conflicts like in darfour
Speaker 1: again genocide. Right. Um. There's all sorts of problems that
Speaker 1: come from too many people coming or living in one
Speaker 1: place because of the strain that puts on resources and
Speaker 1: resource allocation. Right. Um. And yet you can control the
Speaker 1: population e g. You know, state mandated reproduction um, China, right,
Speaker 1: and that actually works as as China shows. Um, although
Speaker 1: much to the detriment of some people, thank you Chuck
Speaker 1: for that look and not everyone thinks um, some people
Speaker 1: think we should add more people though, well, yeah, there's Japan.
Speaker 1: In other countries, there's a problem of population declients. So
Speaker 1: we talked about the strain um people put on an
Speaker 1: area that's in capacity, which we've talked about before, and
Speaker 1: that's also from Malthus, right that eventually human population is
Speaker 1: going to outstrip advances in technology or our resources and
Speaker 1: we're screwed. Right Um. On the other side is shrinking,
Speaker 1: population shrinking, And what's the problem with that, Well, you
Speaker 1: don't want the population to shrink too much because you, uh,
Speaker 1: you need those hands to go to work and to
Speaker 1: to contribute to the economy and to grow the grain
Speaker 1: and sow the flower and all that good stuff. And
Speaker 1: apparently in Russia, Japan and Australia they all have like
Speaker 1: little incentive programs to make little babies. Sure, how about that?
Speaker 1: Which is the way to go? Remember John Fuller's famous quote, um,
Speaker 1: when he was pitching an article about that program in Russia,
Speaker 1: and he's talking about poutin giving away a TV. Oh, yeah,
Speaker 1: that's right, that's really funny. Yeah, um and the baby
Speaker 1: get a TV. I think you had to be there
Speaker 1: and check the reason why. Uh, some of these places
Speaker 1: are seeing a population shrink and or have to, I
Speaker 1: guess give incentives to reproduce. Uh. Started in about nineteen
Speaker 1: sixty birth control. That's so crazy that it had an
Speaker 1: effect that much of an effect that pronounced of an effect. Yeah,
Speaker 1: well it would seem like it would though, I guess
Speaker 1: so because it's called birth control. Sure you know before
Speaker 1: that it was called have as many babies as you
Speaker 1: possibly can. It was called no control alright, So clearly
Speaker 1: there's a lot of reasons to study people. Yeah, it's
Speaker 1: I thought it would be. There's a lot of stuff
Speaker 1: to study to h you can find out whether or
Speaker 1: not we're going to kill the planet or whether um,
Speaker 1: people need to stop using contraceptives, or whether you know
Speaker 1: what your chances are of putin giving you a free TV. Uh.
Speaker 1: It's all in there. It's all demographers know everything, all
Speaker 1: there for the taking. So when you're a frenzy friendly
Speaker 1: enumerator comes knocking on your door, don't chase them off
Speaker 1: your land with your dog or a gun. Let him in,
Speaker 1: give him some lemonade, maybe some cookies. Yeah, we'll check
Speaker 1: their lambing at first, but oh yeah, before you let
Speaker 1: them in. Ceo Ah, Chuck could go in. And if
Speaker 1: you want to know more about population, you can read
Speaker 1: Grabanowski's great article on the site. Just type in population
Speaker 1: in the handy search bart how stuff works dot com,
Speaker 1: which of course leads us to listener mail. Josh, I'm
Speaker 1: just gonna call this your turn at listener mail because
Speaker 1: I think you have to know we'll talk about Yeah.
Speaker 1: I just I don't necessarily have too much listener mail
Speaker 1: per se um. But I just wanted to give a
Speaker 1: shout out to a couple of fellow Toledo wins. One
Speaker 1: who's a longtime resident, one who's a recent transplant. Christopher
Speaker 1: is holding the fort down in Toledo for me, keeping
Speaker 1: it real, he has uh officially lobbied, um, the congresswoman
Speaker 1: from Toledo to get me the key to the city.
Speaker 1: How awesome with it? Yeah, so Marcy kept her. If
Speaker 1: you're listening, I would like, if you get to the city,
Speaker 1: we gotta go for a ceremony and I at least
Speaker 1: want to get like a key chain to the city. Okay,
Speaker 1: and you can have the key. We'll see what we
Speaker 1: can do. Um. So yeah, Christopher has officially petitioner. He's
Speaker 1: he suggested that I'm the third most famous Toledo in
Speaker 1: of all time after Jamie Farr, Jamie Farr, Danny Thomas,
Speaker 1: the Great Entertainer, and then me. And I was like,
Speaker 1: I think you're for getting Katie Holmes because she's from Toledo.
Speaker 1: And he's like, no, you got her bek Kate Cruz.
Speaker 1: You know, is it Kate Cruise now? So anyway, thanks
Speaker 1: a lot for the effort, Christopher, even if it doesn't
Speaker 1: come to fruition. If it does, you will get a
Speaker 1: firm handshake and a free Friendlies Sunday of your choosing
Speaker 1: for me. Friend. Yeah, we'll be going to Friendlies if
Speaker 1: we go to Toledo. Sure. Uh. And then I also
Speaker 1: want to say hi to Colin, who is a recent transplant,
Speaker 1: as I said, Um from Colorado, I believe, who moves
Speaker 1: from Colorado to Toledo. He moved to Toledo to attend
Speaker 1: Bowling Green State University. Joe falcons my brother went there,
Speaker 1: and uh, Colin did so in an eight eight Dodge Colt. Right,
Speaker 1: that's having a couple of problems. One of the rear
Speaker 1: struts are completely detached and the axle is holding on
Speaker 1: by a tread, he says, Um. And the mechanics didn't
Speaker 1: want him to leave when he took it in for service,
Speaker 1: so they're like, you're going to die in this thing, um.
Speaker 1: And the other problem is it has ants, he says.
Speaker 1: I've never heard of a car having ants. I had
Speaker 1: an incident car once. Really, you can't get rid of
Speaker 1: them when they well, that's probably when you were living
Speaker 1: in the car, which was probably always parked on the
Speaker 1: ant hill. This is actually prior to that, when I
Speaker 1: lived in the car. Um. But yeah, no, it's a
Speaker 1: it's a it's a real problem. And Collin's basically just
Speaker 1: put the bullet and said, well, I have ants in
Speaker 1: my car now. He loves his ad eight Dutch Colt,
Speaker 1: he said he loves Salito. He's enjoying. He went to
Speaker 1: Tony Paco's as I suggested. I gotta try that one day.
Speaker 1: I also told him to go to Rusty's Jazz Cafe.
Speaker 1: So it's as authentic as it comes. Awesome. Um So,
Speaker 1: hey Christopher, Hey Colling, you guys enjoy yourselves, Be safe
Speaker 1: and toledown for the winner, Go mud Hens and h
Speaker 1: Thanks for writing in. And if you want to say
Speaker 1: hi to me or Chuck or both of us Chuckers
Speaker 1: or Jerry, you're right, Chucker's Jerry chuck Er, I I
Speaker 1: mean Chucker me chuck in me. Um. You can put
Speaker 1: that in an email to stuff podcast at how stuff
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