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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. You can turn back now or

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Speaker 1: learn the stuff they don't want you to know. A

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Speaker 1: production of I Heart Radios How Stuff Works. Hello, welcome

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Speaker 1: back to the show. My name is Matt, my name

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Speaker 1: is they call me Ben. We are joined as always

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Speaker 1: with our super producer Paul Mission controlled decond Most importantly,

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Speaker 1: you are you. You are here, and that makes this

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Speaker 1: stuff they don't want you to know. Let's begin today's

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Speaker 1: episode a little bit differently. We received an email. We

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Speaker 1: receive a lot of emails. Some of the best suggestions

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Speaker 1: for show topics come from our favorite part of the show,

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Speaker 1: your fellow listeners. This email comes to us from a

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Speaker 1: guy will call Jonathan B because that is his name.

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Speaker 1: Jonathan B. Says, good evening, gentlemen. I have two ideas

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Speaker 1: that I have genuine questions about, and it would honestly

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Speaker 1: like an open minded answer to I feel you guys

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Speaker 1: give a fair perspective and I'd like to hear your

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Speaker 1: thoughts on these matters. And Jonathan's email goes on for

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Speaker 1: a while, but he had one point that we wanted

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Speaker 1: to investigate today. In this episode, and it is the

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Speaker 1: U S citizenship question on the U S Census. Jonathan's

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Speaker 1: questions are why is this uh scene as offensive and

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Speaker 1: wrong to ask? And what about those who believe the

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Speaker 1: questions should be on there? How were their voices heard?

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Speaker 1: You know, these are pretty good questions, right. I think

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Speaker 1: a lot of people who have been paying attention from

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Speaker 1: two thousand eighteen two thousand nineteen, as we gear up

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Speaker 1: to the census, have heard at least about this debate,

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Speaker 1: and it brings us to some basic questions for everybody listening. Uh,

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Speaker 1: We're mainly going to be focusing on the United States today. However,

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Speaker 1: if you live in any country in the world, their

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Speaker 1: thoughts are there something like a census in your neck

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Speaker 1: of the global woods? Like you guys participated in the

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Speaker 1: last census, which was here, right? Yeah, I guess so.

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Speaker 1: I love I love that I needed to provide how

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Speaker 1: many people, including babies live at my current residents. I

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Speaker 1: think I did that. Was it like mandatory? Are I

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Speaker 1: gonna get in trouble? So? Like not doing your taxes? Wait,

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Speaker 1: you didn't do your census. I don't know. Like no

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Speaker 1: one came to me, no one brought me. When was

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Speaker 1: I supposed to like find it myself. I think you

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Speaker 1: get something in the mail. Okay, I guess I'm not

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Speaker 1: a good citizen. Was that? Was that? From the jump? Well,

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Speaker 1: it's it's tough because it's it's a matter of hurting

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Speaker 1: so many cats where a species where legitimately more than

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Speaker 1: twelve people can't seem to get along, right. That's why

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Speaker 1: we cut juries off at twelve. And now we're asking million,

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Speaker 1: hundreds of millions of people to answer questions, and we're

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Speaker 1: trying to get all our ducks in the roads. It's

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Speaker 1: a herculean, impossible task. And the census is a pretty

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Speaker 1: unique experience right here in the States. We've been pretty

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Speaker 1: pro census since all the way back in seventeen nine

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Speaker 1: at first census. UH. The census is mandated by the Constitution.

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Speaker 1: It was instituted by George Washington, and UH Ever, since

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Speaker 1: that point, our country has conducted one of these things

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Speaker 1: every ten years, every decade. As a matter of fact,

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Speaker 1: as we record today's episode, it is twenty and Uncle

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Speaker 1: Sam is once again gearing up for the census. However,

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Speaker 1: this time around, UH, it's it's become a little bit different.

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Speaker 1: As you could tell from Jonathan's earlier email. The census

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Speaker 1: has become a hotbed of controversy, and at least more

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Speaker 1: so than in the past. Actually, and it's become the

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Speaker 1: subject of no small amount of criticism as well as,

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Speaker 1: of course conspiratorial allegations. But to look at them, controversy

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Speaker 1: about the citizenship question on a census, we have to

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Speaker 1: start at the beginning. What the heck is a census? Actually, well,

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Speaker 1: here are the facts. Before we hit the facts. Well,

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Speaker 1: maybe this is a fact. It makes sense that the

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Speaker 1: census is having a really rough time. It's just going

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Speaker 1: through changes right now. It makes sensus. It makes sense

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Speaker 1: us because it's twenty three. It's number twenty three, it's

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Speaker 1: turning twenty three. It's like early twenties. You know. Really,

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Speaker 1: it can rent a car, No, not quite five. It

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Speaker 1: can't be president yet. Yeah, but you know it's it's

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Speaker 1: learning a lot about itself, I would say. And we're

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Speaker 1: and it really is interesting this episode. I'm really happy

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Speaker 1: that we're doing this. Just want to put that out there.

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Speaker 1: This is the kind of thing it is tough to

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Speaker 1: talk about. As was said by our you know, our

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Speaker 1: listener who who wrote to us there, we're gonna we're

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Speaker 1: gonna talk about some things that make us and you

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Speaker 1: and everyone in the world a little uncomfortable, but it's important. Well,

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Speaker 1: we didn't make you a little uncomfortable, we wouldn't be

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Speaker 1: doing our job right. A little just a little uncomfortable.

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Speaker 1: There you go. So let's let's get to the fact.

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Speaker 1: Just do it. Uh. The concept of a census is

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Speaker 1: in fact ancient. At least nine separate cynthuses UH censuses

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Speaker 1: Yeah are mentioned in the Bible. Historians don't quite agree

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Speaker 1: on when the first North American sensus occurred. Some argue

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Speaker 1: that the first one it was in fifteen seventy six,

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Speaker 1: two hundred years before America gained independence from the British UH.

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Speaker 1: Spanish King Philip the Second, who wanted information on some

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Speaker 1: of his colonies and what taxes they paid reasonable UH,

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Speaker 1: sent American Indians through what is now Mexico with a

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Speaker 1: list of one hundred questions. Slightly less reasonable. The Indians

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Speaker 1: spoke no Spanish, of course, so they recorded the answers

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Speaker 1: in hieroglyphics and made maps the same exact way. Very

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Speaker 1: interesting process us here. Others claim it occurred in Canada,

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Speaker 1: then known as New France, was connected by Jean talon On,

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Speaker 1: behalf of the French king. Talon apparently himself went door

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Speaker 1: to door during the winter of sixteen sixty five through

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Speaker 1: sixty six and counted three thousand, two hundred and fifteen

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Speaker 1: people of European descent. There's an important point here because

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Speaker 1: you'll notice when we talk about the disagreement over the

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Speaker 1: first census in North America, both of those possible predecessors

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Speaker 1: to the U S Census are also European in nature.

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Speaker 1: So it's quite possible say that the population of Cohokia

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Speaker 1: or something had their own version of a census, or

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Speaker 1: one of the empires in Mesoamerica. These are the ones

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Speaker 1: we know about because we have documentation. Can I jump

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Speaker 1: back to the Bible really fastly? I feel like we

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Speaker 1: just hit it, and then when I because we're about

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Speaker 1: to talk about why in the United States of the

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Speaker 1: census exists and what it's about. Right, the reasoning behind

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Speaker 1: having one in the Bible, at least, it appears from

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Speaker 1: a lot of the verses and the stories in which

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Speaker 1: those verses are contained, that the census was used to

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Speaker 1: keep track of certain populations, right, I mean all populations,

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Speaker 1: but very specifically certain tribes of Israelites are in there,

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Speaker 1: and it's the way it's spoken about in those verses.

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Speaker 1: It seems like attempting to make sure that those numbers

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Speaker 1: don't get too high or the or at times make

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Speaker 1: sure those numbers are rising, or make sure that those

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Speaker 1: people are located in the right region or not moving

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Speaker 1: into a neighborhood where they're not desired. Yeah, it's it's weird.

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Speaker 1: And also, did you, I know you like Mitchell and

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Speaker 1: Webb the Mitchell Web. Look, do you remember that sketch

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Speaker 1: about the Good Samaritan? Yes, I yes, I do. It's

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Speaker 1: so ridiculous. We see a little bit of the prevalent

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Speaker 1: uh and uh widespread discrimination racism in the Bible, just

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Speaker 1: based on on that sketch, which was written by atheists.

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Speaker 1: But it is still pretty hilarious. But yeah, I just

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Speaker 1: want to put that up there before we jump into

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Speaker 1: in the US, how uh, well, at least on paper

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Speaker 1: or in you know, um in actionable terms. The reasoning

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Speaker 1: behind the census, for sure. Yet, make no mistake the

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Speaker 1: first census in the US, as innocuous as it may

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Speaker 1: seem now, the first census was entirely meant to figure

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Speaker 1: out how many dudes were eligible to join the army.

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Speaker 1: How many people can we put on the ground with

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Speaker 1: guns in the trenches. How many people can we send

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Speaker 1: to die? Well, yeah, and where they are within the territory,

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Speaker 1: so like, how many men can be deployed from this area?

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Speaker 1: Right right? And this was a big project. Six and

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Speaker 1: fifty U s. Marshals took eighteen months to figure this out.

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Speaker 1: And they were flying by the seat of their pants

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Speaker 1: or their horses were running by the seat of their

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Speaker 1: hooves because they had They were literally taking guys quill

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Speaker 1: pens and whatever scrap of paper they could find. That

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Speaker 1: was the process, and going house to house and being

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Speaker 1: and asking, uh, asking like six questions, which we're all

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Speaker 1: did not age well. They aged like milk has read.

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Speaker 1: It would say, from questions like how many people in

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Speaker 1: your household are white freemen under over sixteen? How many

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Speaker 1: are white freemen in general? How many are white free women? Okay,

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Speaker 1: how many your free people? And then how many your slaves?

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Speaker 1: It was like that kind of stuff. No household income question,

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Speaker 1: no um, none of the more nuanced questions that exist today.

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Speaker 1: This whole project took more than a year, eighteen months.

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Speaker 1: It cost forty five thousand dollars. That's about one point

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Speaker 1: to five so one point to six million in today's cash,

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Speaker 1: And that sounds expensive until you compare it with the

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Speaker 1: cents is the one happening this year net month? In fact,

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Speaker 1: it is projected to cost fifteen point six billion dollars. Yeah, yeah,

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Speaker 1: it works out to a little bit less than a

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Speaker 1: hundred dollars per household. That's insane, is it? I mean

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Speaker 1: I don't I don't want to poopoo on the census

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Speaker 1: party anything, but is it really that valuable? Are there

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Speaker 1: not better ways to do it? To like do Nielsen's

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Speaker 1: like the way you do for television eating Nils are horrible,

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Speaker 1: I know, but it's at least you don't have to

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Speaker 1: go door to door. I mean you can get like

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Speaker 1: is it does it have to be like really precise?

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Speaker 1: Like when are we using this information for you're talking

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Speaker 1: about sample size of like as in Nielsen? I mean,

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Speaker 1: how do you blanket everything? Right? If you're because we're

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Speaker 1: talking about a little bit later maybe, but if right now,

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Speaker 1: if you're going to propose to do it electronically, you'd

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Speaker 1: have to guarantee that at least one person from each

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Speaker 1: household has access to the internet, a machine that can

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Speaker 1: access that in or that UH has the understanding, like

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Speaker 1: the full understanding of who all lives in that house,

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Speaker 1: you know, the income, the all the questions that are

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Speaker 1: included in the census. Um. I mean, it's obviously going

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Speaker 1: to go there, and it's gonna have to go there

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Speaker 1: at some point, I think, But right now, if you

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Speaker 1: try to do that, you would get a sample size.

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Speaker 1: It's a good point, man, It's it's also a good

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Speaker 1: point that the technology is outdated. There is in theory

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Speaker 1: and opportunity to get a better answer, But it sounds

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Speaker 1: like the I want to address the first question you

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Speaker 1: asked their knowl which is is this worth it? That's it.

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Speaker 1: That's a great question. The answer is yes, but maybe

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Speaker 1: not in the way people think. So. Now the census

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Speaker 1: is less concerned with figuring out who they can take

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Speaker 1: from a house and put on a battlefield and more

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Speaker 1: concerned with political power in the In the United States,

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Speaker 1: the main purpose of the census is to figure out

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Speaker 1: how many seats each state receives in the U s

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Speaker 1: House of Representatives. Since nineteen eleven, there have been four

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Speaker 1: hundred and thirty five seats in the House. Each state

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Speaker 1: gets at least one. Even if you're really small state

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Speaker 1: like Delaware in terms of population, you get one. But wait,

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Speaker 1: you might be saying, aren't there big differences between how

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Speaker 1: many representatives are in each state? And isn't that a

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Speaker 1: little screwy? Yes, you're correct on both both counts films.

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Speaker 1: Yes there's a big difference, and yes it is screwy.

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Speaker 1: Because these extra representational seats are apportioned by population or

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Speaker 1: assigned by population, the most populous states get the most seats.

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Speaker 1: That's why you have a huge state like California with

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Speaker 1: fifty three seats in the House representatives. And then you know,

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Speaker 1: like Delaware, Sorry not picking on you, Delaware, Alaska, and

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Speaker 1: South Dakota only have one representative. That's the legal purpose,

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Speaker 1: and that's where a lot of the conspiracy actually hinges today,

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Speaker 1: and the Constitution describing the census just listed as a

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Speaker 1: quote enumeration of inhabitants. But it's evolved into something else

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Speaker 1: along the way as our our methodologies and our metrics

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Speaker 1: get more and more sophisticated. Now this gives us a

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Speaker 1: window into the habits of people living in the United States. Uh,

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Speaker 1: and it tells us a whole lot about them. That's right.

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Speaker 1: I mean it does do kind of the same thing

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Speaker 1: in theory that the Nielsen pole does, um, in terms

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Speaker 1: of getting a demographic snapshot, right, it's a little bit

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Speaker 1: more of a looking for trends kind of situation. Right,

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Speaker 1: So we might be trying to see where the population

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Speaker 1: is growing, where it's declining, are people moving, how many

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Speaker 1: people live in the big cities, how many children are

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Speaker 1: there in average households. And then there's some controversial ones

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Speaker 1: that potentially are a little bit of a divisive how

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Speaker 1: these these might be used, um, what is the racial

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Speaker 1: and ethnic breakdown of particular regions and overall and all

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Speaker 1: this is important for a few reasons. It's great for

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Speaker 1: quiz shows like Jeopardy. Uh, these stats are handy and

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Speaker 1: and what the podcast industry a few years ago used

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Speaker 1: to call snack of bill Go ahead and cringe with

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Speaker 1: us to that one. Uh. Second reason it's important is

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Speaker 1: that federal and state governments heavily rely on census data

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Speaker 1: to budget for social welfare programs. Isn't it crazy to

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Speaker 1: get an update every ten years? Every ten years, sorry

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Speaker 1: for ten years, We're gonna use these statistics. We'll get

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Speaker 1: back to you, right, we'll get some updates here and there.

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Speaker 1: So if you're born the year after the census, you're

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Speaker 1: just got out in the wild for a decade. But

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Speaker 1: this is this is important too, because I want to

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Speaker 1: hit on that term. For some reason, the term social

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Speaker 1: and the term welfare have both become uh seen as

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Speaker 1: like bad words, right sure, but social welfare is part

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Speaker 1: of the duty of a state in one degree or another.

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Speaker 1: Some states in the past have have approached it differently,

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Speaker 1: like theocracies awards certain rights to people who follow the

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Speaker 1: state religion while punishing others. Uh. There have been more

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Speaker 1: nationalistic states, you know that only grant certain rights to

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Speaker 1: certain ethnicities. But if you look at every state, every

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Speaker 1: state in history, they have some form of what we

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Speaker 1: would call social welfare. It's sort of like if you

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Speaker 1: are in a country club, think of a country like

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Speaker 1: a country club. You paid dues in a set schedule.

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Speaker 1: Those are your taxes, and in return for that you

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Speaker 1: get certain things like protection from say another country club

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Speaker 1: that for some reason as an army or you know

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Speaker 1: what I mean, Or you get to use the golf course,

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Speaker 1: stuff like that. There there are perks to being a

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Speaker 1: member of it. Right, It's a club you a dues.

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Speaker 1: So it's mostly so you can get into darkened room

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Speaker 1: with other people of your social strata they're in a

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Speaker 1: different industry maybe, and steeple your fingers. Right. So it

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Speaker 1: is true that cities and private industry alike they use

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Speaker 1: these figures to do things like planning hospital expansions where

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Speaker 1: we've seen a lot of kids being born, let's put

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Speaker 1: some money into like you know, New York is exploding,

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Speaker 1: we need more maternity wards or something like that. And

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Speaker 1: that's just an example we're making up. But that pretty

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Speaker 1: much tracks where do we need to prepare for new

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Speaker 1: housing developments, Where do we need to build more schools? Yeah,

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Speaker 1: and that's a huge deal, and it has nothing to

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Speaker 1: do in this way. It has nothing to do with

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Speaker 1: performance necessarily, of like how a school is doing, how

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Speaker 1: a group of teachers are doing, or students are doing

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Speaker 1: on standized testing. That's a whole other thing. In this case,

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Speaker 1: it's just how many people are in this area and

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Speaker 1: how many schools are there? Butts and seats, right, that's it.

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Speaker 1: And this is a huge amount of hash. So we

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Speaker 1: said we named a pretty crazy number for the cost

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Speaker 1: of the census in it's gonna be over fifteen billion,

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Speaker 1: or as you said, old but a billion dollars. Yeah,

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Speaker 1: how how could that be worth it? Well, yeah, we

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Speaker 1: have to consider it's it's investing almost sixteen billion dollars

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Speaker 1: to figure out what to do with the more than

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Speaker 1: six hundred and seventy five billion dollars that federal and

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Speaker 1: state governments put towards public service and infrastructure. So this

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Speaker 1: data is crucial. It is so profoundly important. And that's

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Speaker 1: why everybody who lives in the US right now, everybody

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Speaker 1: who lives here, regardless of your immigration status, regardless of

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Speaker 1: your citizenship status, everyone is technically required by law not

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Speaker 1: only to fill out the census form, but to not

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Speaker 1: lie on it. Basically, I must have done it. I

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Speaker 1: must have just blanked it out because it was such

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Speaker 1: a benign activity. Yeah, I should have looked at it

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Speaker 1: as like doing my you know, social duty though, like

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Speaker 1: in the same way that you know, jury duty. Right,

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Speaker 1: But was a weird year. It just kind of happened

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Speaker 1: and then it was over, and I don't remember much

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Speaker 1: of it, honestly. Well, you would distinctly remember both of

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Speaker 1: you doing the census. It was did someone come to

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Speaker 1: your door? Did you get something in the mail. What

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Speaker 1: was the process like for you guys it was mail

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Speaker 1: or for me? Okay, well, I I remember because I

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Speaker 1: have I have certain there's no gotcha answers on the

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Speaker 1: census or there weren't um so that might be part

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Speaker 1: of why you don't remember it. But I remember any

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Speaker 1: government form like that because there are answers. There are

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Speaker 1: things I have to like legally put in that are

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Speaker 1: different enough that I remember when I write them down,

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Speaker 1: just because just because it's you know, it's one of

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Speaker 1: those things where you have to like check other and

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Speaker 1: then like you have to explain yourself. Have those These days,

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Speaker 1: I fill out things by hands, so and frequently that

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Speaker 1: alone would be like a memory jogger, you know. I

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Speaker 1: just have to say, remember, we are, you know, ostensibly

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Speaker 1: three white males, you know, mostly in this room, who

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Speaker 1: are like doing okay financially and all these things. Like

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Speaker 1: it's a different experience for us than it is for

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Speaker 1: a lot of other people. Sure, right, I mean, just

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Speaker 1: making sure to put out there just if you're talking

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Speaker 1: about my wife who's Cuban, it becomes a very strange

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Speaker 1: thing and what you're talking about having to kind of

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Speaker 1: clarify some things you know that there aren't. It's not

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Speaker 1: just a standard market box. And it's always a weird

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Speaker 1: it's always a weird feeling when you get a form

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Speaker 1: from a government or a large institution that says, explain yourself,

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Speaker 1: what's your whole deal? Are you? Are you? Are you white?

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Speaker 1: Are you Latin X? What kind which you know? What

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Speaker 1: I mean? Like those questions, Uh, those questions can seem

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Speaker 1: really off putting, especially this stuff about race or ethnicity,

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Speaker 1: you know, and there are a lot of people who

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Speaker 1: would legally put other especially you know, in the like

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Speaker 1: we have to consider now in many more people have

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Speaker 1: DNA test results. There are many more people who would

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Speaker 1: have normally checked just one one thing. You know, it's

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Speaker 1: going to be so interesting. And then they and now

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Speaker 1: they're like, well, I am definitely not just one thing,

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Speaker 1: because race is such a social construct to begin with.

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Speaker 1: So that's great, as like as the census approaches, so wow,

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Speaker 1: this is this is the thing though, this is the law.

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Speaker 1: Everybody who lives here, regardless of whether or not you

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Speaker 1: have your citizenship, you're supposed to fill this out. The

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Speaker 1: idea being that this this is a team effort, and

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Speaker 1: this helps us figure out where to put our where

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Speaker 1: best to put our collective dudes that we've been paying

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Speaker 1: all the time, aside from hospitals, aside from schools and

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Speaker 1: all that other stuff. There is a sinister side to

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Speaker 1: the census, but we'll get to that in a moment. First,

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Speaker 1: let's look at the census today. After a quick word

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Speaker 1: from our sponsor, and we're back. So the census today

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Speaker 1: this year, at least, it's already started. If you were

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Speaker 1: worried about the census for one reason or another, put

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Speaker 1: your worries in present tense, because it's happening now. On

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Speaker 1: January one, the U. S Census Bureau started counting populations,

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Speaker 1: and they actually started in the remote wilderness of Alaska,

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Speaker 1: specifically a rural Alaskan village called Tuksuk Bay or t

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Speaker 1: o k s o o Ka Bay. And this won't

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Speaker 1: hit the majority of Americans until mid March next month.

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Speaker 1: That's when households across the nation, including yours if you

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Speaker 1: live here, quite possibly, we'll start receiving invitations to complete

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Speaker 1: the census. You can respond a couple of different ways.

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Speaker 1: You can respond online, you can respond in the mail.

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Speaker 1: Uh they want to give you multiple avenues to let

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Speaker 1: them know who you are and what your deal is, right, Yeah,

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Speaker 1: it really is a fun season that we're in. You guys,

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Speaker 1: we get to fill out the Census and then immediately,

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Speaker 1: if you haven't yet, scrambled to get your taxes filed.

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Speaker 1: Oh yeah, that's right. I uh. You know what I

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Speaker 1: wish they would do on the Census is make it

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Speaker 1: just I know this sounds irresponsible. Make it just a

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Speaker 1: little more fun. Have some randomly distributed wild card questions,

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Speaker 1: like hypothetical like if you were an animal, what animal

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Speaker 1: would you be? You know, an VS section or a

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Speaker 1: mad lib right right? Yeah? And then maybe because it's

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Speaker 1: the Census, don't let people just right in the animal.

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Speaker 1: Just have them a choice of like seven animals that

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Speaker 1: have that are not particularly popular choices. You know, if

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Speaker 1: if the next Batman movie could contain any villain, what

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Speaker 1: would it be? And why allender Man? That would be

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Speaker 1: appropriate for the census in tax season? Count do you

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Speaker 1: guys remember are you familiar with DC comics calendar Man? Yeah,

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Speaker 1: there's a real calendar man. I look about. He has

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Speaker 1: no superpowers. He like an accountant by day. Like, no,

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Speaker 1: he has a costume that's just calendars. What's a superpower

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Speaker 1: can like he doesn't. He knows exactly what happened every

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Speaker 1: day of every year at any moment. He's an inventor.

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Speaker 1: He's a calendar themed inventor. So many DC villains have

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Speaker 1: no powers, They just have weird costumes and then they

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Speaker 1: have a thing they love. Like I was so surprised

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Speaker 1: that Captain Boomerang made it into Suicide Squad. Yeah, dude,

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Speaker 1: his whole thing is that he is he is a

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Speaker 1: Bogan stereotype. You know what a bogan is. It's an Australian.

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Speaker 1: I forget the redneck. Yeah, chav that that that that

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Speaker 1: has nothing to do with the census. Uh, Captain Bomber

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Speaker 1: And let us know your your weirdest DC villain. Let

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Speaker 1: us know who you think would be in a Batman movie.

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Speaker 1: And let us know what you think about the idea

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Speaker 1: of some mad libs or some hypothetical some fun questions

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Speaker 1: on the Census. What happens next? So we're at mid March.

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Speaker 1: People are starting to get the letters and now the

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Speaker 1: Census Bureau has to deal with one of the biggest

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Speaker 1: problems they will deal with in the course of their investigation,

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Speaker 1: which is finding people who have slipped through the system

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Speaker 1: or live on the edges of it. So that's why

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Speaker 1: they'll spend three days projected March thirty April first attempting

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Speaker 1: to count the number of people who are currently experiencing homelessness.

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Speaker 1: Only three days. Isn't that crazy? Only three days? The

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Speaker 1: number of people involved must be staggering. So they'll go

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Speaker 1: to shelters, They'll go to soup kitchens, mobile food vans,

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Speaker 1: they'll go to places on the streets. You know, every

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Speaker 1: city or town does have a place where you see

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Speaker 1: people who have to sleep rough. They tend to congregate there,

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Speaker 1: maybe for shelter or something. I wonder if they employ

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Speaker 1: any kind of social services assistance. I mean, I know

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Speaker 1: a lot of those organizations are so strapped for you know,

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Speaker 1: um resources already. I kind of think not. But I

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Speaker 1: also do think that just your average census worker going

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Speaker 1: into situations like that, that could be some potential for

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Speaker 1: some you know, tricky situations, I would think, right, Like, imagine,

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Speaker 1: imagine you are a census worker. You're a college student

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Speaker 1: who just found a cool temporary job, and you're in

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Speaker 1: l A. Uh and you're not You're not from l

428
00:25:45,680 --> 00:25:48,400
Speaker 1: A for some reason, You're you're unfamiliar with the territory

429
00:25:48,600 --> 00:25:50,679
Speaker 1: and you have to go to skid row, you know

430
00:25:50,720 --> 00:25:53,159
Speaker 1: what I mean, You probably want someone who has on

431
00:25:53,240 --> 00:25:55,800
Speaker 1: the ground experience and familiarity. I think that's a very

432
00:25:55,800 --> 00:26:00,320
Speaker 1: good point. Or just approaching a rural home somewhere in

433
00:26:00,680 --> 00:26:03,720
Speaker 1: Iowa or something, you know, or in Georgia. You know,

434
00:26:03,760 --> 00:26:07,680
Speaker 1: Georgia has a lot of separatist groups. The Sovereign State

435
00:26:07,720 --> 00:26:12,280
Speaker 1: of the Sovereign Nation of Georgia is one of my favorites.

436
00:26:12,320 --> 00:26:14,040
Speaker 1: That you know what they got in trouble for. Actually,

437
00:26:14,040 --> 00:26:15,720
Speaker 1: out of all their stuff, they got in trouble for

438
00:26:15,760 --> 00:26:21,000
Speaker 1: printing their own license plates and their own ideas. Yeah, oh, man,

439
00:26:21,280 --> 00:26:25,240
Speaker 1: but but but really, you know, walking onto someone's property

440
00:26:25,280 --> 00:26:29,280
Speaker 1: where there are laws in states that say you can

441
00:26:29,440 --> 00:26:34,240
Speaker 1: fire a weapon at someone and your property. Um, it's yeah,

442
00:26:34,280 --> 00:26:38,160
Speaker 1: that's a terrifying thought. Sticking a dog on you, for instance,

443
00:26:38,240 --> 00:26:41,280
Speaker 1: or maybe even accidentally. I had a you know, I

444
00:26:41,320 --> 00:26:44,040
Speaker 1: had an old associate who took a job in two

445
00:26:44,119 --> 00:26:46,480
Speaker 1: thousand ten working for the Census because he liked the

446
00:26:46,480 --> 00:26:49,760
Speaker 1: hourly pay and he had some war stories. Man, he

447
00:26:49,760 --> 00:26:52,760
Speaker 1: had to he had to drive out into the Boonies

448
00:26:53,000 --> 00:26:56,400
Speaker 1: and met a few people who were convinced that the

449
00:26:56,440 --> 00:27:01,080
Speaker 1: Census was a sign of the end times. Government over

450
00:27:01,119 --> 00:27:04,080
Speaker 1: each that there were things in the Book of Revelations

451
00:27:04,280 --> 00:27:06,640
Speaker 1: and their version of the Bible that we're tracking with

452
00:27:06,680 --> 00:27:10,480
Speaker 1: what was happening now, specifically with the census, and how

453
00:27:10,920 --> 00:27:13,439
Speaker 1: social Security numbers are, the number of the beasts and

454
00:27:13,520 --> 00:27:16,800
Speaker 1: things like that. You know bar codes, man, exactly, Yeah,

455
00:27:16,840 --> 00:27:21,800
Speaker 1: like the UPC thing. So so here we go. These

456
00:27:21,920 --> 00:27:25,320
Speaker 1: these people are trying their best, and then people working

457
00:27:25,359 --> 00:27:32,200
Speaker 1: for the Census Bureau are not. They are not participating

458
00:27:32,280 --> 00:27:35,480
Speaker 1: in some sort of vast, overarching conspiracy, or at least

459
00:27:35,520 --> 00:27:39,200
Speaker 1: not consciously. The person at your door right right, It's

460
00:27:39,280 --> 00:27:42,840
Speaker 1: it's just like if you have a problem with, um,

461
00:27:42,840 --> 00:27:44,960
Speaker 1: what's the most hated company in the world right now

462
00:27:45,240 --> 00:27:47,320
Speaker 1: or in the U S. It's Comcast, right every year,

463
00:27:49,920 --> 00:27:53,440
Speaker 1: survey show every every year Comcast has been the number

464
00:27:53,440 --> 00:27:56,200
Speaker 1: one most hated company. It's so funny, is it. I

465
00:27:56,200 --> 00:27:59,480
Speaker 1: think it's because the customer service or just like perceptions

466
00:27:59,520 --> 00:28:02,359
Speaker 1: of greed. No, it's customer service. I've never had a

467
00:28:02,400 --> 00:28:07,560
Speaker 1: problem with Comcasts. I would agree with you, I think

468
00:28:07,760 --> 00:28:11,080
Speaker 1: ninety five percent of the time. But it is one

469
00:28:11,080 --> 00:28:14,040
Speaker 1: of the only companies where I've had a terrible experience

470
00:28:14,119 --> 00:28:15,679
Speaker 1: one time. There's even a thing. I'm not to be

471
00:28:15,720 --> 00:28:18,240
Speaker 1: like a Comcast apologist, but like my my internet went

472
00:28:18,240 --> 00:28:19,680
Speaker 1: down the other day. There's even a thing where you

473
00:28:19,720 --> 00:28:21,880
Speaker 1: can look for outages in your area and actually use

474
00:28:21,960 --> 00:28:24,880
Speaker 1: your phone to restart your modem and it fixed it instantly.

475
00:28:25,040 --> 00:28:28,480
Speaker 1: So I'm as far as I'm concerned, Comcast is a okay. Yeah,

476
00:28:28,560 --> 00:28:31,560
Speaker 1: well they did change their name to Exfinity because the

477
00:28:31,600 --> 00:28:34,600
Speaker 1: heat got to remember that after they after they I

478
00:28:34,920 --> 00:28:38,440
Speaker 1: can't remember which year it was that set them over

479
00:28:38,480 --> 00:28:41,080
Speaker 1: the threshold, but they won worst Company in the US

480
00:28:41,280 --> 00:28:44,320
Speaker 1: like after some amount of years. So maybe it's just

481
00:28:44,360 --> 00:28:46,480
Speaker 1: that when people have problems with them, they're very bad.

482
00:28:46,920 --> 00:28:50,840
Speaker 1: But yeah, So the reason I bring up Comcast is,

483
00:28:51,000 --> 00:28:53,040
Speaker 1: you know, even if you have a problem with your

484
00:28:53,160 --> 00:28:57,680
Speaker 1: telecom company, you have to be a human being or

485
00:28:57,760 --> 00:29:01,240
Speaker 1: an impersonate one for a minute and realize that the

486
00:29:01,320 --> 00:29:04,920
Speaker 1: person you're talking to on the phone has nothing to

487
00:29:05,000 --> 00:29:08,960
Speaker 1: do with your problem. You know, they're being paid there

488
00:29:09,400 --> 00:29:12,440
Speaker 1: to keep the people who are causing your problem from

489
00:29:12,480 --> 00:29:15,440
Speaker 1: having to deal with you directly. That's what they are.

490
00:29:15,920 --> 00:29:21,480
Speaker 1: Their infantry being thrown into the front lines. So I

491
00:29:21,480 --> 00:29:23,920
Speaker 1: feel like there's some kind of thing matching up there

492
00:29:23,960 --> 00:29:29,360
Speaker 1: with the census and allocating how many fighters there are. Gosh,

493
00:29:28,400 --> 00:29:34,280
Speaker 1: you know, well that's a look. I'm not saying anything

494
00:29:34,320 --> 00:29:37,480
Speaker 1: about my personal opinion, Comcast. I'm just saying the results

495
00:29:37,520 --> 00:29:41,680
Speaker 1: of what of what has happened. Right, So it's true,

496
00:29:41,720 --> 00:29:44,640
Speaker 1: you have to be human. The people asking these questions

497
00:29:44,680 --> 00:29:46,520
Speaker 1: are not out to get you. They don't want to

498
00:29:46,560 --> 00:29:51,400
Speaker 1: ruin your life. By April one, April Fool's Day, us

499
00:29:51,640 --> 00:29:55,640
Speaker 1: the census days observed nationwide. How crazy is that? Yeah,

500
00:29:56,280 --> 00:30:00,280
Speaker 1: on April Fool's Day is when the census is observed. Well, this,

501
00:30:00,280 --> 00:30:02,960
Speaker 1: this is the This is like the milestone date where

502
00:30:03,000 --> 00:30:06,240
Speaker 1: every home should have received an invitation to participate in

503
00:30:06,280 --> 00:30:10,120
Speaker 1: the census, and like every census before it, to the

504
00:30:10,120 --> 00:30:13,080
Speaker 1: points we made earlier, the census is not going to

505
00:30:13,200 --> 00:30:15,680
Speaker 1: be perfect. You know, man, when you call it an invitation,

506
00:30:15,800 --> 00:30:18,480
Speaker 1: it does sound a little more fun. It's like getting

507
00:30:18,520 --> 00:30:22,280
Speaker 1: invited to a party or something. The senses invitation makes

508
00:30:22,280 --> 00:30:24,880
Speaker 1: you feel special. Uh yeah, no, it's true. And this

509
00:30:24,920 --> 00:30:27,960
Speaker 1: one in particular has got some uh some kind of

510
00:30:28,000 --> 00:30:32,480
Speaker 1: sticky sticky wickets wrapped up in it. Then then it's true.

511
00:30:33,560 --> 00:30:37,800
Speaker 1: We know already going in that like every other census,

512
00:30:37,840 --> 00:30:40,160
Speaker 1: not everyone is going to be counted for one reason

513
00:30:40,280 --> 00:30:43,600
Speaker 1: or another. In the US, there's a very large population

514
00:30:43,600 --> 00:30:46,160
Speaker 1: in people who live pretty much off the grid. You know,

515
00:30:46,440 --> 00:30:50,480
Speaker 1: folks who go from uh and just pulling examples here,

516
00:30:50,520 --> 00:30:52,960
Speaker 1: I'm not stereotyping win but like folks who go from

517
00:30:53,000 --> 00:30:57,560
Speaker 1: one rainbow gathering to another, or one burning man kind

518
00:30:57,560 --> 00:31:00,400
Speaker 1: of event to another, and and live be in a

519
00:31:00,480 --> 00:31:05,400
Speaker 1: vehicle or live in a campsite there, probably they have

520
00:31:05,480 --> 00:31:07,920
Speaker 1: a very high chance being missed by the census. Someone

521
00:31:07,920 --> 00:31:10,640
Speaker 1: who's living in a hotel for an extended period of time,

522
00:31:10,680 --> 00:31:13,959
Speaker 1: we're moving around in hotels. I don't know if you've

523
00:31:14,000 --> 00:31:15,760
Speaker 1: ever been to a fish concert, but there's a lot

524
00:31:15,760 --> 00:31:18,960
Speaker 1: of people that go to those, so many of those

525
00:31:18,960 --> 00:31:21,080
Speaker 1: have not been counted. A ton of people could just

526
00:31:21,120 --> 00:31:24,760
Speaker 1: be at fish concerts perpetually while the census arrives at

527
00:31:24,760 --> 00:31:28,520
Speaker 1: their place of residents wherever. Maybe here's my here's my

528
00:31:28,600 --> 00:31:34,080
Speaker 1: pitch for a for a new Netflix mini series. It's

529
00:31:34,080 --> 00:31:38,200
Speaker 1: it's the crack team of Census Bureau specialists who have

530
00:31:38,280 --> 00:31:43,400
Speaker 1: to find those people at fish concerts, tracking tracking them down,

531
00:31:43,480 --> 00:31:46,320
Speaker 1: following fish trying to get the census questions. Yeah, we'll

532
00:31:46,320 --> 00:31:48,560
Speaker 1: do it kind of like the wire with his gritting

533
00:31:48,720 --> 00:31:51,360
Speaker 1: noir thing and will but we'll invent our own slang

534
00:31:51,480 --> 00:31:55,440
Speaker 1: for it. So it's like, you know, people like you.

535
00:31:55,440 --> 00:31:57,720
Speaker 1: You have to be a NATS squad if you're either

536
00:31:58,600 --> 00:32:03,320
Speaker 1: a problematic brill veteran or you've been busted down in

537
00:32:03,360 --> 00:32:06,360
Speaker 1: the organization because of some slight and they're like, oh,

538
00:32:06,400 --> 00:32:09,160
Speaker 1: we're gonna send you off to count fish heads. That's

539
00:32:09,200 --> 00:32:14,080
Speaker 1: really great. Idris elba is running the office, They're cool, Yeah,

540
00:32:14,120 --> 00:32:19,000
Speaker 1: I can let him keep the British accent for some reason. Oh,

541
00:32:19,200 --> 00:32:22,960
Speaker 1: then it becomes really sinister that it's like it's somehow

542
00:32:23,040 --> 00:32:27,000
Speaker 1: great Britain infiltrating and trying to gather intel, like you're

543
00:32:27,000 --> 00:32:29,400
Speaker 1: always a step ahead, man. I love that. And then

544
00:32:29,440 --> 00:32:34,160
Speaker 1: we could have what was that uh monarchical couple who

545
00:32:34,200 --> 00:32:40,600
Speaker 1: moved uh Megan Mark arc Yeah and the Prince one

546
00:32:40,640 --> 00:32:44,280
Speaker 1: of those guys, Yeah, yeah, Harry or William got a

547
00:32:45,240 --> 00:32:48,520
Speaker 1: I got I think it was Harry. Yeah. Maybe they

548
00:32:48,520 --> 00:32:51,840
Speaker 1: could have a cameo. You know, we could we could

549
00:32:51,840 --> 00:32:53,720
Speaker 1: go a couple of different directions. It's like a door

550
00:32:53,760 --> 00:32:56,800
Speaker 1: opens at some point and uh Idris Elba it's like

551
00:32:57,000 --> 00:33:00,720
Speaker 1: what and and it's the Prince and he's like, do

552
00:33:00,760 --> 00:33:07,000
Speaker 1: you have the data? We need to know how many

553
00:33:07,120 --> 00:33:12,920
Speaker 1: free white males? And then he says, your Highness, your

554
00:33:12,960 --> 00:33:17,080
Speaker 1: prince Ness, Uh, we don't use those questions anymore. Oh

555
00:33:17,120 --> 00:33:19,160
Speaker 1: my gosh. It all goes back to Brexit. They're trying

556
00:33:19,200 --> 00:33:22,240
Speaker 1: to gather as many people of British descent back to

557
00:33:22,320 --> 00:33:26,640
Speaker 1: the island. It's Brexit. But but yeah, I mean jokes aside.

558
00:33:26,680 --> 00:33:29,480
Speaker 1: The census does sound like a great idea, not for nothing.

559
00:33:29,800 --> 00:33:35,280
Speaker 1: Have thousands of other civilizations and states used this in

560
00:33:35,320 --> 00:33:40,760
Speaker 1: the past. It makes sense, But like you said earlier, guys,

561
00:33:40,880 --> 00:33:44,760
Speaker 1: it's becoming increasingly controversial. As a matter of fact, people

562
00:33:44,840 --> 00:33:48,000
Speaker 1: on both sides of the political divide in this country

563
00:33:48,240 --> 00:33:53,280
Speaker 1: allege there is something rotten about the entire thing, especially

564
00:33:53,360 --> 00:33:57,400
Speaker 1: this year. Why we'll tell you after a word from

565
00:33:57,440 --> 00:34:09,840
Speaker 1: our sponsor, here's where it gets crazy. So the census

566
00:34:09,880 --> 00:34:14,040
Speaker 1: has been um the subject of not one but several

567
00:34:14,080 --> 00:34:17,640
Speaker 1: conspiracies over over its time in the United States, but

568
00:34:18,760 --> 00:34:22,239
Speaker 1: in particular UM has really been a doozy. It's seen

569
00:34:22,320 --> 00:34:27,120
Speaker 1: the rise of a new phenomenon competing allegations. So here

570
00:34:27,160 --> 00:34:31,640
Speaker 1: here's what it boils down to. Much of these allegations

571
00:34:31,719 --> 00:34:36,440
Speaker 1: hinge on the so called citizenship question, which is just

572
00:34:36,480 --> 00:34:38,879
Speaker 1: what it sounds like, as simple as that. It's are

573
00:34:38,960 --> 00:34:43,640
Speaker 1: you a citizen of the United States? Yeah, which seems

574
00:34:43,640 --> 00:34:46,360
Speaker 1: on his face like such an easy question. Yes, or

575
00:34:46,440 --> 00:34:48,320
Speaker 1: you know, but it's there's a lot wrapped up in

576
00:34:48,360 --> 00:34:50,719
Speaker 1: that question. There's a lot of nuance there, certainly is,

577
00:34:50,840 --> 00:34:53,200
Speaker 1: especially when you take into account current events over the

578
00:34:53,239 --> 00:34:56,840
Speaker 1: past well, let's say, five six years. Sure, you know,

579
00:34:56,960 --> 00:35:00,520
Speaker 1: for a lot of people who maybe we're uh just

580
00:35:00,600 --> 00:35:04,640
Speaker 1: born in this country, had citizenship because the wate citizenship

581
00:35:04,719 --> 00:35:06,800
Speaker 1: works in the US is not the way it works

582
00:35:06,840 --> 00:35:10,680
Speaker 1: everywhere in the world. You if you are born on

583
00:35:10,800 --> 00:35:15,839
Speaker 1: this soil in this country, then you are automatically a citizen, uh,

584
00:35:15,960 --> 00:35:20,880
Speaker 1: no other concerns. Right in some other countries, that is

585
00:35:20,920 --> 00:35:24,719
Speaker 1: not the case at all. So in the US, for

586
00:35:24,800 --> 00:35:27,600
Speaker 1: many people, it seems like yeah, okay, fine, yeah, I'm

587
00:35:27,640 --> 00:35:29,520
Speaker 1: a citizen. I mean, don't ask me to tell you

588
00:35:29,520 --> 00:35:32,399
Speaker 1: where my Social Security card is because who keeps track

589
00:35:32,440 --> 00:35:35,600
Speaker 1: of that thing? But but yeah, yeah, yeah, I'm I'm here.

590
00:35:35,760 --> 00:35:38,360
Speaker 1: But for many other people, you know, we have We

591
00:35:38,400 --> 00:35:40,480
Speaker 1: have a lot of students, right, We have a lot

592
00:35:40,480 --> 00:35:42,640
Speaker 1: of people who are in the course of getting their

593
00:35:42,680 --> 00:35:47,120
Speaker 1: citizenship right and are definitely here as legal residents. We

594
00:35:47,200 --> 00:35:50,320
Speaker 1: also have a lot of people who were maybe brought

595
00:35:50,440 --> 00:35:52,839
Speaker 1: over into this country at a young age when they

596
00:35:52,840 --> 00:35:56,040
Speaker 1: had did not have the ability to consent, but this

597
00:35:56,120 --> 00:35:58,560
Speaker 1: is the only home they've ever known. So even if

598
00:35:58,600 --> 00:36:03,120
Speaker 1: they're not, uh technically a citizen, they are very much

599
00:36:03,120 --> 00:36:06,680
Speaker 1: a resident. Where are they supposed to go? You know

600
00:36:06,680 --> 00:36:10,400
Speaker 1: what I mean? And it's difficult to differentiate if you

601
00:36:10,600 --> 00:36:13,480
Speaker 1: if you looked if you took one person who was

602
00:36:13,520 --> 00:36:16,920
Speaker 1: brought to the United States when they were let's say

603
00:36:16,960 --> 00:36:21,040
Speaker 1: two years old, one year old, and then somebody who

604
00:36:21,239 --> 00:36:23,040
Speaker 1: was born in the United States, if you look at

605
00:36:23,080 --> 00:36:25,360
Speaker 1: those two people and just sit them in a room together,

606
00:36:26,000 --> 00:36:28,719
Speaker 1: I have a feeling it would be very, very difficult

607
00:36:28,800 --> 00:36:32,640
Speaker 1: to figure out which which person was born in the

608
00:36:32,719 --> 00:36:35,759
Speaker 1: United States unless you directly ask them. Yeah, that's the thing.

609
00:36:35,880 --> 00:36:39,680
Speaker 1: So much of what buys people historically are going to

610
00:36:39,800 --> 00:36:42,600
Speaker 1: be things like family ties. Not that I mean maybe

611
00:36:42,680 --> 00:36:46,080
Speaker 1: the sitcom, but also just the actual family ties of

612
00:36:46,280 --> 00:36:50,480
Speaker 1: blood and sort of relationship or religion and things like that.

613
00:36:51,280 --> 00:36:54,920
Speaker 1: What is The one of the bold things about the

614
00:36:55,040 --> 00:37:00,920
Speaker 1: United States as a geopolitical proposition is this this concept

615
00:37:00,960 --> 00:37:06,880
Speaker 1: of people being able to say we're American. We're very different,

616
00:37:06,920 --> 00:37:10,080
Speaker 1: but we're united by this one thing. And it's interesting

617
00:37:10,120 --> 00:37:13,480
Speaker 1: because we can see that evolved throughout history. It used

618
00:37:13,480 --> 00:37:18,120
Speaker 1: to be called instead of the United States, uh, the

619
00:37:18,120 --> 00:37:21,600
Speaker 1: these United States. It used to be more plural, and

620
00:37:21,640 --> 00:37:24,400
Speaker 1: people would be much more likely to describe themselves as,

621
00:37:24,480 --> 00:37:28,040
Speaker 1: say a Virginian or a Floridian than they would to

622
00:37:28,280 --> 00:37:32,600
Speaker 1: say that they were an American. Right, And so this

623
00:37:32,600 --> 00:37:35,920
Speaker 1: this concept of an idea means that people are bound

624
00:37:36,000 --> 00:37:39,880
Speaker 1: by culture. Now, so to your example of taking you know,

625
00:37:40,040 --> 00:37:43,160
Speaker 1: person named person be same down and talking with them,

626
00:37:43,320 --> 00:37:47,319
Speaker 1: you know, they probably they probably are very much aware

627
00:37:47,360 --> 00:37:49,600
Speaker 1: of the same things. They probably like a lot of

628
00:37:49,640 --> 00:37:53,160
Speaker 1: the same stuff, and they definitely participate in the collective

629
00:37:53,200 --> 00:37:56,600
Speaker 1: memory of big events, right, Like they're aware of the

630
00:37:56,640 --> 00:37:59,120
Speaker 1: moon landing even if they don't think it happened, or

631
00:37:59,160 --> 00:38:03,279
Speaker 1: they're aware of you know, nine eleven, or who won

632
00:38:03,320 --> 00:38:08,279
Speaker 1: the Super Bowl last year? You know what I mean. Absolutely,

633
00:38:08,640 --> 00:38:13,040
Speaker 1: So let's get to like why why the the political

634
00:38:13,080 --> 00:38:16,080
Speaker 1: left and right are having such a hard time and

635
00:38:16,120 --> 00:38:19,319
Speaker 1: squabbling over all this stuff. Yeah, Okay, So in the

636
00:38:19,360 --> 00:38:23,399
Speaker 1: months leading up to this year, the census year, politicians

637
00:38:23,400 --> 00:38:27,160
Speaker 1: on both left and the right, we're fighting over the

638
00:38:27,239 --> 00:38:33,120
Speaker 1: concept of adding any question pertaining the citizenship because remember,

639
00:38:33,200 --> 00:38:36,560
Speaker 1: you know, all that all that's legally required when the

640
00:38:36,600 --> 00:38:39,760
Speaker 1: census is that all people living in the country answer

641
00:38:40,000 --> 00:38:43,560
Speaker 1: to it, even if they aren't citizens. Your citizenship should

642
00:38:43,560 --> 00:38:48,520
Speaker 1: not affect you when it comes to the census also, right,

643
00:38:48,640 --> 00:38:51,520
Speaker 1: Like you could be a non citizen but also be

644
00:38:51,600 --> 00:38:56,279
Speaker 1: working under a visa temporary worker reviews or something like that,

645
00:38:56,640 --> 00:38:58,360
Speaker 1: and then you would have to answer no. It's a

646
00:38:58,520 --> 00:39:04,200
Speaker 1: very vague question that without given the proper uh context,

647
00:39:04,440 --> 00:39:08,920
Speaker 1: could be very misleading and perhaps used in a divisive manner.

648
00:39:09,200 --> 00:39:12,400
Speaker 1: I guess so, yeah, because what if you accidentally answer

649
00:39:12,480 --> 00:39:15,479
Speaker 1: and accurately dependent We know what framing is a huge

650
00:39:15,520 --> 00:39:17,759
Speaker 1: part of how questions are answered. But we also know

651
00:39:17,880 --> 00:39:20,800
Speaker 1: this country has a lot of silly requirements in general.

652
00:39:21,160 --> 00:39:24,040
Speaker 1: Like consider the fact that as far as the I R.

653
00:39:24,160 --> 00:39:27,800
Speaker 1: S Is concerned, it doesn't matter if you sell illegal drugs,

654
00:39:28,280 --> 00:39:32,440
Speaker 1: You're just supposed to report it on your taxes. Is

655
00:39:32,560 --> 00:39:35,840
Speaker 1: that weird? It's very weird, And they're like, look, guys.

656
00:39:36,800 --> 00:39:40,200
Speaker 1: It's just it's the banality of bureaucracy, right, the idea

657
00:39:40,280 --> 00:39:44,480
Speaker 1: that that one department of the federal government would say, look, man,

658
00:39:46,640 --> 00:39:49,920
Speaker 1: move all the hair when you want. We're the accountant people,

659
00:39:50,080 --> 00:39:52,680
Speaker 1: just tell us, tell us what the profit is because

660
00:39:52,719 --> 00:39:56,399
Speaker 1: we want thirty to it. Yeah. No, you're right, and

661
00:39:56,440 --> 00:39:58,400
Speaker 1: you know, hopefully the I R. S doesn't come around

662
00:39:58,400 --> 00:40:01,960
Speaker 1: and say, Mr Decan that this is an awful lot

663
00:40:02,040 --> 00:40:05,960
Speaker 1: of one hundred dollar Venmo charges or what is what

664
00:40:06,000 --> 00:40:11,480
Speaker 1: are you doing with this applebee It is Applebee's. I

665
00:40:11,520 --> 00:40:14,880
Speaker 1: knew it. It's all Applebee's gift cards specifically, that is

666
00:40:15,200 --> 00:40:18,920
Speaker 1: Paul's life is just literally run by Applebee's. I have

667
00:40:19,040 --> 00:40:21,120
Speaker 1: to I know we're to do in an episode. I'm

668
00:40:21,160 --> 00:40:24,960
Speaker 1: so sorry. In honor of Paul Deck and my wife

669
00:40:24,960 --> 00:40:27,680
Speaker 1: and son and I tried to go to an Applebee's

670
00:40:27,680 --> 00:40:29,719
Speaker 1: where we thought there was one, and we did. We

671
00:40:29,760 --> 00:40:32,399
Speaker 1: made the mistake of not checking Google Maps or anything.

672
00:40:32,400 --> 00:40:34,239
Speaker 1: We were like, Okay, we're gonna go to this particular

673
00:40:34,280 --> 00:40:36,960
Speaker 1: area that's kind of close to where we are. It

674
00:40:37,000 --> 00:40:40,399
Speaker 1: turned out it was a Chilie's and we we had

675
00:40:40,440 --> 00:40:42,520
Speaker 1: to eat at the Chili's. You guys, I gotta tell

676
00:40:42,520 --> 00:40:44,640
Speaker 1: you that, man, I was picturing and even sadder result

677
00:40:44,640 --> 00:40:47,440
Speaker 1: because I actually prefer Chili's over Applebee's. I'm gonna put

678
00:40:47,440 --> 00:40:49,799
Speaker 1: that out there. Paul's giving me the stink guy. But

679
00:40:50,160 --> 00:40:54,080
Speaker 1: what if it had been like an abandoned, sad, derelict

680
00:40:54,160 --> 00:40:59,400
Speaker 1: Applebee's with tumbleweeds rolling through, just littered with chicken wing

681
00:40:59,480 --> 00:41:03,840
Speaker 1: bones and skeletons of small children. I mean that would

682
00:41:03,840 --> 00:41:07,760
Speaker 1: be I mean great. Yeah, I'd probably just start rolling

683
00:41:07,800 --> 00:41:11,000
Speaker 1: and like when I say that, I mean camera rolling

684
00:41:11,040 --> 00:41:19,719
Speaker 1: around children. Uh, you mean turning on the camera. Yeah, sure, no,

685
00:41:19,800 --> 00:41:21,640
Speaker 1: it would be cool. You're neer have been explorer, you'd

686
00:41:21,640 --> 00:41:23,920
Speaker 1: be into that. Yeah, man, I mean candy flipping in

687
00:41:24,000 --> 00:41:27,879
Speaker 1: and Applebee's has always been a dream of mine. Um no, no,

688
00:41:27,920 --> 00:41:30,520
Speaker 1: but no. But seriously, we turned out it was an

689
00:41:30,520 --> 00:41:37,440
Speaker 1: Applebee's and it got turned it. Uh yeah, see shifting

690
00:41:38,200 --> 00:41:42,839
Speaker 1: demographics right and trends. There you go. So maybe Applebee's

691
00:41:42,880 --> 00:41:46,799
Speaker 1: are proliferating somewhere else. Oh man, Well we fulfilled our

692
00:41:46,840 --> 00:41:51,919
Speaker 1: Applebee's mentioned. Thanks again to Corporate for sponsoring the show

693
00:41:52,040 --> 00:41:57,560
Speaker 1: and Global Illumination Unlimited, of course, the only, the only

694
00:41:58,440 --> 00:42:02,440
Speaker 1: force with the power and the pull to make endless

695
00:42:02,480 --> 00:42:05,680
Speaker 1: apps affordable for the common man. Not so true. And

696
00:42:05,800 --> 00:42:10,600
Speaker 1: kids eat free like way more than you'd think so.

697
00:42:10,280 --> 00:42:14,359
Speaker 1: Uh So, yes, the census. It is weird because ostensibly

698
00:42:14,400 --> 00:42:18,000
Speaker 1: this seems like a We can understand how people might

699
00:42:18,000 --> 00:42:20,200
Speaker 1: think this would be a small thing to fight over,

700
00:42:20,280 --> 00:42:22,719
Speaker 1: but the link can also understand why people might think

701
00:42:22,800 --> 00:42:26,200
Speaker 1: it's a uh, there's something else at play when for

702
00:42:26,280 --> 00:42:30,600
Speaker 1: the individual it could be dire. There could be dire exactly,

703
00:42:30,719 --> 00:42:36,920
Speaker 1: And there is a ton of misinformation and disinformation floating

704
00:42:37,040 --> 00:42:40,879
Speaker 1: around this issue in general. Here's the gist, the lay

705
00:42:40,880 --> 00:42:45,319
Speaker 1: of the land. Uh. The forces on what we would

706
00:42:45,320 --> 00:42:50,200
Speaker 1: call the political right of the US want generally want

707
00:42:50,239 --> 00:42:54,280
Speaker 1: a citizenship question, and the forces on the political left

708
00:42:54,600 --> 00:42:58,200
Speaker 1: generally don't. Uh. This went all the way to the

709
00:42:58,239 --> 00:43:02,719
Speaker 1: Supreme Court. The Supreme Court agreed. I don't know if

710
00:43:02,719 --> 00:43:04,560
Speaker 1: you'd say they agreed with the left or the right.

711
00:43:04,640 --> 00:43:08,279
Speaker 1: They agreed with the Constitution, and they ruled against the

712
00:43:08,320 --> 00:43:13,719
Speaker 1: citizenship question in June of At the time, the presidential

713
00:43:13,760 --> 00:43:17,040
Speaker 1: administration balked at this ruling and sought to keep it

714
00:43:17,080 --> 00:43:19,239
Speaker 1: in Uh. They were kicking around the idea of doing

715
00:43:19,239 --> 00:43:24,200
Speaker 1: an executive order for this, but ultimately did not. Here's

716
00:43:24,360 --> 00:43:28,799
Speaker 1: here's the idea. The political left say that this is

717
00:43:28,920 --> 00:43:33,239
Speaker 1: a cynical, illicit move by the political right and that

718
00:43:33,320 --> 00:43:34,920
Speaker 1: it's not on the up and up. They say the

719
00:43:34,920 --> 00:43:37,040
Speaker 1: whole reason this is happening is because of the right

720
00:43:37,160 --> 00:43:40,960
Speaker 1: is conspiring to gain more congressional power. We have a

721
00:43:41,040 --> 00:43:44,120
Speaker 1: quote from Reuter's that breaks it down pretty well. States

722
00:43:44,160 --> 00:43:47,520
Speaker 1: with high numbers of immigrants and Latino residents, led by

723
00:43:47,600 --> 00:43:51,480
Speaker 1: New York State, sued to block the citizenship question. They

724
00:43:51,480 --> 00:43:54,560
Speaker 1: said it would cause an undercount of their populations and

725
00:43:54,640 --> 00:43:58,399
Speaker 1: disproportionately hurt their regions by costing them U s House

726
00:43:58,440 --> 00:44:02,240
Speaker 1: of representative seats and millions of dollars in federal funding.

727
00:44:02,560 --> 00:44:06,719
Speaker 1: Immigrant advocacy groups said the government's plan aimed to discriminate

728
00:44:06,800 --> 00:44:10,120
Speaker 1: against non white immigrants. So we'll dig into that in

729
00:44:10,160 --> 00:44:13,920
Speaker 1: a second. Let's go to the other side of the argument.

730
00:44:14,040 --> 00:44:18,680
Speaker 1: This comes from US Commerce Secretary Wilburt Ross, and then

731
00:44:18,800 --> 00:44:22,720
Speaker 1: it goes something like this. Wilbert Ross argues that reinstating

732
00:44:22,719 --> 00:44:27,759
Speaker 1: a citizenship question, which had existed on smaller questionnaires sent

733
00:44:27,840 --> 00:44:31,400
Speaker 1: two smaller subsets of the population in the past, would

734
00:44:31,440 --> 00:44:35,640
Speaker 1: produce better data on enforcement of the Federal Voting Rights

735
00:44:35,640 --> 00:44:40,960
Speaker 1: Act protecting the electoral power of minorities. So on that side,

736
00:44:41,200 --> 00:44:47,200
Speaker 1: they're saying, this will give a better understanding of the

737
00:44:47,560 --> 00:44:50,080
Speaker 1: of the population of the US, and this will allow

738
00:44:50,239 --> 00:44:52,320
Speaker 1: us to do a better job with the Federal Voting

739
00:44:52,400 --> 00:44:56,200
Speaker 1: Rights Act. And then Ross also has what I would

740
00:44:56,239 --> 00:44:59,960
Speaker 1: say is a fairly weak argument, which is every everybody

741
00:45:00,120 --> 00:45:02,240
Speaker 1: else is doing an argument and says, you know, plenty

742
00:45:02,280 --> 00:45:05,600
Speaker 1: of other countries asked this question on their census, which

743
00:45:05,680 --> 00:45:09,280
Speaker 1: is true, but it doesn't it doesn't necess The problem

744
00:45:09,320 --> 00:45:12,360
Speaker 1: is it doesn't necessitate. What one country does does not

745
00:45:12,520 --> 00:45:15,200
Speaker 1: mandate the actions of another country. It's like when your

746
00:45:15,239 --> 00:45:17,520
Speaker 1: mom Aliyes, asked you just because your friends put a

747
00:45:17,560 --> 00:45:22,200
Speaker 1: citizenship question on their census, are you gonna do it too? Well,

748
00:45:22,239 --> 00:45:26,040
Speaker 1: it is an interesting point there, and and it's causing

749
00:45:26,080 --> 00:45:29,880
Speaker 1: me a bit of a I'm having an issue with

750
00:45:29,960 --> 00:45:32,279
Speaker 1: this internally as we're talking about I can see what

751
00:45:32,320 --> 00:45:34,800
Speaker 1: you're saying, where you get what you're getting anything, well,

752
00:45:34,840 --> 00:45:38,360
Speaker 1: just where depending on where you're you're lying on what

753
00:45:38,440 --> 00:45:41,239
Speaker 1: you're arguing. It does feel like if you did have

754
00:45:41,360 --> 00:45:45,359
Speaker 1: better data on the voters and people who are being

755
00:45:45,400 --> 00:45:50,480
Speaker 1: affected by voter suppression, then you could help to fix

756
00:45:50,520 --> 00:45:57,080
Speaker 1: that problem, but you could also identify people to suppress votes, um, simultaneously.

757
00:45:57,160 --> 00:45:59,920
Speaker 1: It's that weird thing of by observing you're going to

758
00:46:00,120 --> 00:46:03,280
Speaker 1: change the whole thing, like by taking the census alone.

759
00:46:03,440 --> 00:46:08,040
Speaker 1: It's also it's it's technology, it's dual purpose technology. It's

760
00:46:08,080 --> 00:46:10,400
Speaker 1: it's a question of trust and good faith. You know,

761
00:46:10,440 --> 00:46:15,040
Speaker 1: you're building the same kind of center fuges you use

762
00:46:15,200 --> 00:46:19,120
Speaker 1: to create nuclear power, can create nuclear weapons. Let's be real, though,

763
00:46:19,160 --> 00:46:24,680
Speaker 1: I mean, the backlash and the controversial reality controversiality of

764
00:46:24,680 --> 00:46:29,439
Speaker 1: this is largely because of the state of politics right now.

765
00:46:29,680 --> 00:46:34,880
Speaker 1: It seems divisive because people are interpreting it as a direct,

766
00:46:35,520 --> 00:46:39,560
Speaker 1: uh I think request from our current president who has

767
00:46:39,680 --> 00:46:42,720
Speaker 1: made some slight, pretty divisive statements about how he feels

768
00:46:42,719 --> 00:46:45,840
Speaker 1: about immigration and how he feels, you know, the quality

769
00:46:45,880 --> 00:46:49,839
Speaker 1: of human that he considers to be, uh coming over

770
00:46:49,880 --> 00:46:53,480
Speaker 1: to our country. Right. Yeah, I mean, not no judgment

771
00:46:53,480 --> 00:46:55,480
Speaker 1: either way. I'm just saying he has made these comments,

772
00:46:55,560 --> 00:46:57,439
Speaker 1: and I think a lot of people on the left,

773
00:46:57,520 --> 00:47:00,759
Speaker 1: especially are associating this question with le figure out how

774
00:47:00,800 --> 00:47:05,160
Speaker 1: to root out illegals. Absolutely, I mean, that's that's absolutely

775
00:47:05,160 --> 00:47:08,759
Speaker 1: one of the concerns right, because we know that the

776
00:47:09,080 --> 00:47:12,680
Speaker 1: immigration policies have been a hot button topic for this

777
00:47:12,760 --> 00:47:18,560
Speaker 1: administration since day one. Now want to point out that

778
00:47:18,600 --> 00:47:23,400
Speaker 1: there were people who didn't agree with Secretary Ross uh.

779
00:47:23,680 --> 00:47:25,840
Speaker 1: One group that did not agree with him was the

780
00:47:25,840 --> 00:47:30,120
Speaker 1: actual Census Bureau UH. They found that a question about

781
00:47:30,200 --> 00:47:34,320
Speaker 1: citizenship would lead to less accurate rather than more accurate reporting,

782
00:47:34,680 --> 00:47:38,040
Speaker 1: because their estimates found that something like six point five

783
00:47:38,360 --> 00:47:41,400
Speaker 1: million people would not respond to the census if they

784
00:47:41,480 --> 00:47:44,719
Speaker 1: knew this question was on there, massively skewing data for

785
00:47:44,760 --> 00:47:47,920
Speaker 1: the same reason, because they're thinking, given the activity of

786
00:47:48,520 --> 00:47:53,160
Speaker 1: ICE and other law enforcement agencies, am I just raising

787
00:47:53,200 --> 00:47:56,759
Speaker 1: my hand to say, discriminate against me or kicked me

788
00:47:56,800 --> 00:47:59,800
Speaker 1: out of the country, or you know, like what happens

789
00:47:59,840 --> 00:48:03,200
Speaker 1: if few what happens if you're here on a student visa,

790
00:48:03,440 --> 00:48:06,200
Speaker 1: which is completely above the board and legal by all

791
00:48:06,239 --> 00:48:09,360
Speaker 1: the laws in the land, and you say, Okay, I

792
00:48:09,480 --> 00:48:12,480
Speaker 1: am not a citizen, I'm a student here on a visa.

793
00:48:12,840 --> 00:48:16,680
Speaker 1: I'm studying neuroscience or sports medicine or art history or

794
00:48:16,719 --> 00:48:20,360
Speaker 1: something like that, right, or computer engineering, whatever your and

795
00:48:20,400 --> 00:48:26,560
Speaker 1: then later shortly thereafter, the administration changes some law which

796
00:48:26,600 --> 00:48:32,000
Speaker 1: means your student visa is null and void, and you

797
00:48:32,160 --> 00:48:35,120
Speaker 1: were planning to be here to finish school, but now

798
00:48:35,120 --> 00:48:37,400
Speaker 1: you're being deported, you know what I mean. That's like,

799
00:48:37,440 --> 00:48:40,560
Speaker 1: that's completely hypothetical. There are a lot of ifs involved.

800
00:48:40,640 --> 00:48:43,520
Speaker 1: There a lot of ifs thence but you can understand

801
00:48:43,520 --> 00:48:46,279
Speaker 1: where people are coming from. The Other thing here I'm

802
00:48:46,320 --> 00:48:49,839
Speaker 1: still going down a mildly conspiratorial route, is that let's

803
00:48:49,840 --> 00:48:53,440
Speaker 1: say you did have something like six point five million

804
00:48:53,520 --> 00:48:58,720
Speaker 1: people not responding to the census because of the citizenship question.

805
00:48:59,200 --> 00:49:01,480
Speaker 1: If you did get it on there, you could just

806
00:49:01,560 --> 00:49:05,759
Speaker 1: take that six point five million people or households, you know,

807
00:49:05,840 --> 00:49:08,120
Speaker 1: because you would know the address where the census was

808
00:49:08,160 --> 00:49:10,400
Speaker 1: sent to, and you knew you would know that it

809
00:49:10,440 --> 00:49:14,799
Speaker 1: was not responded to. You could use that as identifying

810
00:49:14,920 --> 00:49:19,799
Speaker 1: potentially either you know, people who are extaining in protests

811
00:49:19,960 --> 00:49:24,120
Speaker 1: or people who are actually perhaps have an issue. That's right,

812
00:49:24,320 --> 00:49:25,920
Speaker 1: And I mean, you know, if you think about, like

813
00:49:26,040 --> 00:49:29,279
Speaker 1: we talked about the sort of antiquated nature of the

814
00:49:29,440 --> 00:49:31,720
Speaker 1: let's not even call it technology. It's basically just human

815
00:49:32,200 --> 00:49:35,239
Speaker 1: beings and paper and the mail. It'spparently. I mean, you know,

816
00:49:35,280 --> 00:49:37,400
Speaker 1: there's obviously a web portal that you could use to register.

817
00:49:37,520 --> 00:49:40,840
Speaker 1: But it's such blunt instrument technology it doesn't seem like

818
00:49:40,840 --> 00:49:44,600
Speaker 1: it's very precision targeted that you know, you could be

819
00:49:44,640 --> 00:49:48,000
Speaker 1: hard to glean that much specifics about what you're talking about,

820
00:49:48,239 --> 00:49:51,520
Speaker 1: but I guess you could. You could turn the screw

821
00:49:51,560 --> 00:49:53,560
Speaker 1: a little bit and and uh you know, and and

822
00:49:53,560 --> 00:49:58,120
Speaker 1: and consider targeting people who did not uh participate and

823
00:49:58,120 --> 00:50:01,920
Speaker 1: and say oh instantly that means they're here illegally. And

824
00:50:01,960 --> 00:50:04,280
Speaker 1: then we can send ICE to their door saying Homeland

825
00:50:04,320 --> 00:50:06,880
Speaker 1: Security and ICE need to always have a bigger budget

826
00:50:06,880 --> 00:50:10,320
Speaker 1: the next year. Right, Well, every that's the thing. Every

827
00:50:10,360 --> 00:50:15,439
Speaker 1: government organization needs a bigger budget every year. I think

828
00:50:15,440 --> 00:50:18,080
Speaker 1: we've talked about this in the past, right, just to

829
00:50:18,160 --> 00:50:21,840
Speaker 1: reiterate the weird thing about at least the US government

830
00:50:21,840 --> 00:50:26,479
Speaker 1: and the way budgets work. So regardless of budget cuts,

831
00:50:26,560 --> 00:50:30,640
Speaker 1: what you're whatever group you're naming, uh, most US departments

832
00:50:30,680 --> 00:50:33,640
Speaker 1: from what we understand, have to spend the entirety of

833
00:50:33,640 --> 00:50:36,240
Speaker 1: their budget by the end of the fiscal year because

834
00:50:36,280 --> 00:50:40,000
Speaker 1: if they don't, then their budget gets cut, uh cut

835
00:50:40,040 --> 00:50:43,120
Speaker 1: to like take the gap away for the next year.

836
00:50:43,480 --> 00:50:45,400
Speaker 1: Can't roll it over like roll over minutes on a

837
00:50:45,560 --> 00:50:47,799
Speaker 1: c N T no, no, you can't roll. It's the

838
00:50:47,800 --> 00:50:49,359
Speaker 1: whole point. If you didn't need that much money, you're

839
00:50:49,360 --> 00:50:51,719
Speaker 1: not gonna get it next year. It's tough world. If

840
00:50:51,760 --> 00:50:54,200
Speaker 1: you needed more money and you had to spend every

841
00:50:54,200 --> 00:50:56,480
Speaker 1: single time you had and we really could have used

842
00:50:56,520 --> 00:51:01,719
Speaker 1: another two twenty million, two billion. Okay, I'm gonna I'm

843
00:51:01,719 --> 00:51:03,640
Speaker 1: gonna tell you guys a secret. I don't know if

844
00:51:03,640 --> 00:51:05,560
Speaker 1: I ever mentioned this on there. This is this is

845
00:51:05,560 --> 00:51:08,200
Speaker 1: an open secret. This is not anything that's going to

846
00:51:08,280 --> 00:51:11,200
Speaker 1: get anybody black bagger killed. This is just kind of

847
00:51:11,280 --> 00:51:15,359
Speaker 1: Joseph Heller Kurt Vonnegut level hilarious. Public schools are are

848
00:51:15,719 --> 00:51:21,759
Speaker 1: ultimately getting destroyed on purpose by private industry officerry. But no, no,

849
00:51:21,920 --> 00:51:25,040
Speaker 1: there is a day, a single day in the year

850
00:51:26,200 --> 00:51:35,600
Speaker 1: uh where people in the military industry clamor to spend

851
00:51:35,760 --> 00:51:39,480
Speaker 1: the last of the budget there in charge of And

852
00:51:39,680 --> 00:51:46,600
Speaker 1: the day ends on mid at like midnight Pacific coast time.

853
00:51:47,480 --> 00:51:52,120
Speaker 1: And so this day is this day is famous in

854
00:51:52,160 --> 00:51:54,279
Speaker 1: the industry. It make a mistake, It very much is

855
00:51:54,280 --> 00:51:59,040
Speaker 1: an industry day is famous in the industry such that people,

856
00:51:59,239 --> 00:52:04,319
Speaker 1: very important, high level people will just put aside a

857
00:52:04,320 --> 00:52:08,120
Speaker 1: few hours when it gets around like ten PM because

858
00:52:08,160 --> 00:52:10,759
Speaker 1: they know they're gonna get calls and there, and it's

859
00:52:10,760 --> 00:52:13,040
Speaker 1: gonna be from their peers, and they see how they

860
00:52:13,040 --> 00:52:15,400
Speaker 1: can move the money around because no one wants to

861
00:52:15,440 --> 00:52:19,120
Speaker 1: get caught out. It's like a weird game of musical chairs,

862
00:52:19,920 --> 00:52:23,600
Speaker 1: you know what I mean, very expensive game of musical chairs,

863
00:52:23,719 --> 00:52:27,239
Speaker 1: or a cake walk with a billion dollar cake. Very

864
00:52:27,280 --> 00:52:31,680
Speaker 1: expensive chairs for sure. Yeah, so let's go back to this.

865
00:52:31,719 --> 00:52:34,480
Speaker 1: So we already know that the financial situation is a

866
00:52:34,560 --> 00:52:39,160
Speaker 1: little bit absurd. But back to the Supreme Court, we

867
00:52:39,239 --> 00:52:43,799
Speaker 1: know that these this idea, the Census Bureau essentially says

868
00:52:43,840 --> 00:52:46,960
Speaker 1: this could mean six point five million people go missing

869
00:52:47,200 --> 00:52:51,320
Speaker 1: from the census. The courts also disagree with Ross's reasoning.

870
00:52:52,239 --> 00:52:56,239
Speaker 1: Interestingly enough, for anybody who finds themselves being overly partisan.

871
00:52:57,400 --> 00:53:01,000
Speaker 1: This was a ruling by Chief Justice John Robert, who

872
00:53:01,280 --> 00:53:04,200
Speaker 1: himself is a conservative judge. He's he's not going to

873
00:53:04,320 --> 00:53:08,160
Speaker 1: be overly biased, at least not ostensibly so, just because

874
00:53:08,160 --> 00:53:11,960
Speaker 1: an idea is coming from the conservative side, he ruled

875
00:53:12,000 --> 00:53:16,680
Speaker 1: against this citizenship question for liberal judges joined him. Justice

876
00:53:16,719 --> 00:53:20,040
Speaker 1: has joined him. And then he also noted, this is

877
00:53:20,080 --> 00:53:23,719
Speaker 1: interesting in there in there, uh, in their decision, they

878
00:53:23,760 --> 00:53:26,600
Speaker 1: know you know what's weird, Wilbur is that you have

879
00:53:26,719 --> 00:53:31,960
Speaker 1: seemed determined to specifically add the citizenship question, like that

880
00:53:32,000 --> 00:53:34,920
Speaker 1: has been your main thing since your first day at

881
00:53:34,920 --> 00:53:38,920
Speaker 1: the Commerce Department. Implication being don't you have other stuff

882
00:53:38,960 --> 00:53:41,799
Speaker 1: to do? Why is it just this one issue? Right?

883
00:53:41,960 --> 00:53:44,839
Speaker 1: So it's common for maybe a local politician to run

884
00:53:44,840 --> 00:53:47,600
Speaker 1: on one issue, let's fix the pothole on Fourth Street,

885
00:53:47,920 --> 00:53:51,080
Speaker 1: But it's not common for a secretary of an entire

886
00:53:51,480 --> 00:53:53,319
Speaker 1: or it shouldn't be common for a secretary of an

887
00:53:53,400 --> 00:53:57,080
Speaker 1: entire department to do this too biopically focus on this

888
00:53:57,120 --> 00:54:01,160
Speaker 1: one thing. And that's when that's when a guy, Uh,

889
00:54:01,239 --> 00:54:04,720
Speaker 1: that's when a guy named Thomas Hofeller or Huffler comes

890
00:54:04,719 --> 00:54:08,279
Speaker 1: into play. He died. He was a Republican strategist and

891
00:54:08,360 --> 00:54:14,919
Speaker 1: redistricting expert, a jerry manderer extraordinaire, and he was one

892
00:54:15,080 --> 00:54:19,799
Speaker 1: of the biggest cheerleaders of adding the citizenship question to

893
00:54:20,000 --> 00:54:23,520
Speaker 1: the census. Uh. He was instrumental in it, even way

894
00:54:23,560 --> 00:54:27,040
Speaker 1: back in ten where he did a study and concluded

895
00:54:27,320 --> 00:54:30,480
Speaker 1: that this would adding this question would be quote and

896
00:54:30,480 --> 00:54:34,799
Speaker 1: we're quoting him, We're not We're not spending this. This

897
00:54:34,880 --> 00:54:38,359
Speaker 1: is what this man said. He said we need assistantship

898
00:54:38,480 --> 00:54:42,160
Speaker 1: question because it would be quote advantageous to Republicans and

899
00:54:42,200 --> 00:54:48,240
Speaker 1: non Hispanic whites in redrawing electoral districts based on census data.

900
00:54:48,680 --> 00:54:51,680
Speaker 1: So it appears that at least in one case, what

901
00:54:51,800 --> 00:54:54,040
Speaker 1: the political left was saying when they said it was

902
00:54:54,080 --> 00:54:57,960
Speaker 1: a grab for power and also representatives, it appears backed

903
00:54:58,000 --> 00:55:02,040
Speaker 1: up by at least one guy, the guy who was

904
00:55:02,160 --> 00:55:07,360
Speaker 1: in charge of so many plans for district for district design.

905
00:55:08,280 --> 00:55:12,879
Speaker 1: The current administration dismissed this as a conspiracy theory, and

906
00:55:13,000 --> 00:55:16,520
Speaker 1: the court, we should note, while shooting down the citizenship question,

907
00:55:16,920 --> 00:55:20,840
Speaker 1: they did not address the idea of the ultimate argument

908
00:55:20,880 --> 00:55:24,080
Speaker 1: is minimizing the influence of non white residents or voters

909
00:55:24,440 --> 00:55:31,080
Speaker 1: or maximizing of the the white residents. Right, That's that's

910
00:55:31,120 --> 00:55:33,320
Speaker 1: that's the argument. And it got cloudy because there was

911
00:55:33,360 --> 00:55:37,000
Speaker 1: a ton of misinformation. There were radio pundits who were

912
00:55:37,120 --> 00:55:43,879
Speaker 1: alleging that the preceding presidential administration, the Obama administration, had

913
00:55:43,960 --> 00:55:48,000
Speaker 1: removed the question from the census in two thousand and ten.

914
00:55:48,920 --> 00:55:53,080
Speaker 1: That's at best misleading, right, But we but but why

915
00:55:53,120 --> 00:55:56,560
Speaker 1: why was it such a big news item for this census?

916
00:55:56,600 --> 00:56:00,080
Speaker 1: But not then if it was removed as well, Like,

917
00:56:00,080 --> 00:56:02,080
Speaker 1: how do we even find out about a question before

918
00:56:02,080 --> 00:56:04,239
Speaker 1: it comes out if someone doesn't kind of want you

919
00:56:04,280 --> 00:56:06,400
Speaker 1: to know about it, right, Because there's a lot of

920
00:56:06,400 --> 00:56:08,680
Speaker 1: people want it to be on there, and there's a

921
00:56:08,680 --> 00:56:11,279
Speaker 1: lot of people who don't want it to be on there. Uh,

922
00:56:11,320 --> 00:56:15,160
Speaker 1: and they're they're both alleging that the other party is

923
00:56:15,239 --> 00:56:19,960
Speaker 1: conspiring to do stuff. So it's strange because again, to

924
00:56:20,000 --> 00:56:25,160
Speaker 1: be clear, there have been citizenship questions before. I think

925
00:56:25,239 --> 00:56:30,400
Speaker 1: from eight through nineteen fifty according to the Census Bureau,

926
00:56:30,480 --> 00:56:35,640
Speaker 1: there were questions or forms that ask citizenship information. And

927
00:56:35,640 --> 00:56:40,160
Speaker 1: then there are other forms that are not the quote

928
00:56:40,239 --> 00:56:43,520
Speaker 1: unquote big sensus, but they're smaller versions of it, and

929
00:56:43,560 --> 00:56:46,640
Speaker 1: they've asked questions too. But this thing hasn't really been

930
00:56:46,680 --> 00:56:52,880
Speaker 1: around for for a long time at this point. Uh,

931
00:56:52,920 --> 00:56:56,880
Speaker 1: the Trump administration has decided not to defe not to

932
00:56:56,960 --> 00:57:01,000
Speaker 1: fight the decision any further. The sense this question has

933
00:57:01,000 --> 00:57:06,600
Speaker 1: been confirmed, it's officially removed, but social media would have

934
00:57:06,640 --> 00:57:10,120
Speaker 1: you believed differently. You will see a ton of things

935
00:57:10,120 --> 00:57:12,759
Speaker 1: coming from what seems to be both sides saying that

936
00:57:12,800 --> 00:57:17,160
Speaker 1: the citizenship question is still on the census. That is

937
00:57:17,280 --> 00:57:21,880
Speaker 1: just not true. It's not true, is it? Is it

938
00:57:22,080 --> 00:57:26,920
Speaker 1: the age of weaponized information? I would argue yes, it's

939
00:57:26,960 --> 00:57:30,240
Speaker 1: also you know, a clear lack of critical thinking. But

940
00:57:30,560 --> 00:57:33,040
Speaker 1: we have people like timils and the Associate director for

941
00:57:33,120 --> 00:57:39,120
Speaker 1: Field Operations at the Census Bureau, on record multiple times saying, yeah,

942
00:57:39,120 --> 00:57:43,800
Speaker 1: it's it's not happening. Stop stop freaking out, guys. He

943
00:57:43,840 --> 00:57:47,960
Speaker 1: didn't say, stop freaking out, it's not happening. Yeah, exactly. UM.

944
00:57:48,040 --> 00:57:50,840
Speaker 1: If you if you are skeptical of what we're saying here,

945
00:57:51,080 --> 00:57:53,640
Speaker 1: you know that because you've read it on social media,

946
00:57:53,760 --> 00:57:56,120
Speaker 1: you think, oh, the scent the question is either definitely

947
00:57:56,160 --> 00:57:59,240
Speaker 1: going to be there or whatever social post you happen

948
00:57:59,280 --> 00:58:02,400
Speaker 1: to see, you can always go to Census c E

949
00:58:02,560 --> 00:58:05,680
Speaker 1: N s U S dot gov. Through there you can

950
00:58:05,720 --> 00:58:11,200
Speaker 1: find essentially what what is a sample census survey for

951
00:58:11,360 --> 00:58:12,880
Speaker 1: this is going to come to your door if it

952
00:58:12,920 --> 00:58:16,080
Speaker 1: hasn't already, if you're in Alaska, um, or whenever you're

953
00:58:16,120 --> 00:58:18,160
Speaker 1: hearing this perhaps has come to your door already, but

954
00:58:18,240 --> 00:58:21,440
Speaker 1: you could you can go online and find what it's

955
00:58:21,440 --> 00:58:25,520
Speaker 1: going to look like. Yeah. Yeah, And you know one

956
00:58:25,560 --> 00:58:30,720
Speaker 1: thing is for sure, citizenship question aside this decade census

957
00:58:30,840 --> 00:58:32,920
Speaker 1: is going to have a huge number of problems. We

958
00:58:33,080 --> 00:58:38,240
Speaker 1: barely talked about the apocalyptic conspiracy right, uh here, just

959
00:58:38,320 --> 00:58:40,920
Speaker 1: a few other things. Politicians are very worried that the

960
00:58:40,960 --> 00:58:45,000
Speaker 1: Bureau is under prepared and very worried that the technology

961
00:58:45,040 --> 00:58:48,440
Speaker 1: being implemented won't work. And after you see the way

962
00:58:48,480 --> 00:58:55,440
Speaker 1: that different electronic voting systems and strategies have have gone

963
00:58:55,480 --> 00:58:58,400
Speaker 1: to put over the years, when you see all the

964
00:58:58,440 --> 00:59:01,720
Speaker 1: problems that happen with things like having an app for

965
00:59:01,800 --> 00:59:05,000
Speaker 1: a primary and so on. Yeah, yeah, it's pretty easy

966
00:59:05,040 --> 00:59:07,640
Speaker 1: to understand why there would be a lot of people

967
00:59:07,760 --> 00:59:12,120
Speaker 1: saying this is this is a recipe for disaster. Are

968
00:59:12,120 --> 00:59:14,520
Speaker 1: we gonna do one on the caucus tobac us? That

969
00:59:14,520 --> 00:59:16,480
Speaker 1: would be a lot of fun. Yeah, I wonder how

970
00:59:16,480 --> 00:59:19,560
Speaker 1: it's gonna shake out. You know, it's crazy, honestly, what's happening?

971
00:59:19,560 --> 00:59:24,760
Speaker 1: I haven't heard anything. Well, they are deciding South Carolina

972
00:59:25,360 --> 00:59:31,200
Speaker 1: based on oiled up arm wrestling. Yeah, WHOA, I really

973
00:59:31,240 --> 00:59:34,080
Speaker 1: need to check my news app more often it was

974
00:59:34,160 --> 00:59:36,880
Speaker 1: it was Joe snake bite, Biden's idea. He goes by

975
00:59:36,880 --> 00:59:39,280
Speaker 1: snake bite, Which Doe do you use the one that

976
00:59:39,320 --> 00:59:42,160
Speaker 1: the Clinton Foundation designed? Because that's that's the one, you

977
00:59:42,200 --> 00:59:46,920
Speaker 1: should be using the Clinton Foundation News as Appeah? Is

978
00:59:46,920 --> 00:59:50,439
Speaker 1: it really? No? I don't know. Did I make this up? Wasn't?

979
00:59:50,480 --> 00:59:53,360
Speaker 1: Wasn't there there was a connection with the Clinton's and

980
00:59:53,400 --> 00:59:57,040
Speaker 1: the app that. Yeah, I I used the Clinton Foundation

981
00:59:57,080 --> 01:00:00,920
Speaker 1: email server. Uh yeah, that's a all I miss. You

982
01:00:00,920 --> 01:00:03,640
Speaker 1: know what I missed with a self destruct button built up?

983
01:00:03,960 --> 01:00:07,280
Speaker 1: I miss? Uh my primary news source for U S

984
01:00:07,360 --> 01:00:09,680
Speaker 1: news what used to always be called a suite when

985
01:00:09,680 --> 01:00:12,080
Speaker 1: they were still open. They were just so much more

986
01:00:12,600 --> 01:00:14,840
Speaker 1: well informed than I was. You know, you would just

987
01:00:14,880 --> 01:00:17,439
Speaker 1: call a random, sweetish person. They would break stuff down.

988
01:00:17,440 --> 01:00:19,840
Speaker 1: They're also good at saying it very gently, you know,

989
01:00:19,920 --> 01:00:22,720
Speaker 1: in a way that doesn't like get your stress levels

990
01:00:22,760 --> 01:00:25,880
Speaker 1: up right. Yeah, I mean it's like, yeah, wow, I

991
01:00:25,960 --> 01:00:29,920
Speaker 1: just heard about all these natural disasters that are happening

992
01:00:30,320 --> 01:00:33,439
Speaker 1: in our country. Dear sweetish stranger, could you tell me more?

993
01:00:33,840 --> 01:00:36,200
Speaker 1: And they, you know, they gently said, they're like you

994
01:00:36,280 --> 01:00:40,040
Speaker 1: also see you know, hey, hey, what we're talking about this?

995
01:00:40,360 --> 01:00:44,720
Speaker 1: Can we briefly just mentioned something that some people have

996
01:00:44,840 --> 01:00:46,880
Speaker 1: written to us, and we've seen some reviews on the

997
01:00:46,920 --> 01:00:51,640
Speaker 1: old Apple podcasts app about what was it, uh political

998
01:00:51,920 --> 01:00:54,680
Speaker 1: ads showing up in this show? Oh yeah, we did

999
01:00:54,680 --> 01:00:56,600
Speaker 1: not have a say in that. When we found out

1000
01:00:56,640 --> 01:01:00,439
Speaker 1: about those, we went and got them pulled post haste. Uh,

1001
01:01:00,480 --> 01:01:03,760
Speaker 1: this this show is not this show is not a

1002
01:01:03,800 --> 01:01:09,000
Speaker 1: show for political advertisements. We we think stupidity tends to

1003
01:01:09,040 --> 01:01:14,720
Speaker 1: be distributed unfortunately. But as as we also know, tis

1004
01:01:14,800 --> 01:01:18,439
Speaker 1: the season and a certain a certain former New York

1005
01:01:18,600 --> 01:01:22,560
Speaker 1: mayor has really been pumping some some pony bones into

1006
01:01:22,600 --> 01:01:25,840
Speaker 1: the old ad machine. And you may have heard one

1007
01:01:25,920 --> 01:01:27,919
Speaker 1: or two from him by accident, but we we've taken

1008
01:01:27,960 --> 01:01:29,760
Speaker 1: care of that. And we you know, to to our

1009
01:01:29,880 --> 01:01:33,720
Speaker 1: our boss's credits are our company's credits. We are almost

1010
01:01:33,720 --> 01:01:37,080
Speaker 1: always able to vet those. These just kind of snuck through. Um,

1011
01:01:37,120 --> 01:01:40,120
Speaker 1: it was no one's fault. In particular, it's Bloombird's fault.

1012
01:01:40,200 --> 01:01:43,280
Speaker 1: I'll say that. Yeah, that wasn't gonna name names, but

1013
01:01:43,920 --> 01:01:46,840
Speaker 1: that's all on the table. So I I don't under Okay,

1014
01:01:46,920 --> 01:01:49,520
Speaker 1: I don't understand no coming in hot because we just

1015
01:01:49,600 --> 01:01:52,160
Speaker 1: learned about this, and Paul, please just give us the second.

1016
01:01:52,400 --> 01:01:55,160
Speaker 1: I do not you all my time. I don't. I

1017
01:01:55,720 --> 01:01:58,440
Speaker 1: don't understand. How would you spend that much money on

1018
01:01:58,520 --> 01:02:01,320
Speaker 1: these ads when you have no ends being president? Like

1019
01:02:01,400 --> 01:02:04,400
Speaker 1: statistically there's not a model where it works out unless

1020
01:02:05,640 --> 01:02:10,680
Speaker 1: multiple other candidates, including the person who's currently in office,

1021
01:02:10,840 --> 01:02:16,360
Speaker 1: all somehow die. That's the only way for a cabinet position.

1022
01:02:16,400 --> 01:02:18,600
Speaker 1: Maybe b Yeah, we talked to off Air. I said,

1023
01:02:18,640 --> 01:02:21,160
Speaker 1: you know, the only calculus that makes sense is if

1024
01:02:21,200 --> 01:02:24,080
Speaker 1: he's able to do a backroom sale of any votes

1025
01:02:24,120 --> 01:02:27,400
Speaker 1: he gets to broker that as a trade off for

1026
01:02:27,560 --> 01:02:32,160
Speaker 1: a cabinet position of some sort of votes. I don't understand.

1027
01:02:32,440 --> 01:02:35,720
Speaker 1: So like if you so, if he grew, for instance,

1028
01:02:35,880 --> 01:02:40,480
Speaker 1: of voting population people who were pro Bloomberg voters, and

1029
01:02:40,520 --> 01:02:43,920
Speaker 1: then he you know, he definitely didn't have a shot

1030
01:02:44,040 --> 01:02:47,120
Speaker 1: at getting a dem nomination or didn't run as an

1031
01:02:47,160 --> 01:02:50,120
Speaker 1: independent or anything something, and then he said, I'm going

1032
01:02:50,200 --> 01:02:52,040
Speaker 1: to you know, I'm gonna throw all my votes to

1033
01:02:52,160 --> 01:02:56,479
Speaker 1: you know, insert here, the Richard Simmons Harvey Keitel fran

1034
01:02:56,600 --> 01:03:00,560
Speaker 1: Dresser who has a new show. By the way, Rand Dresser.

1035
01:03:03,240 --> 01:03:06,040
Speaker 1: I've carried it torch for the longest time for the Nanny.

1036
01:03:06,320 --> 01:03:08,920
Speaker 1: You know, rewatched it did not age well, did not

1037
01:03:09,040 --> 01:03:12,440
Speaker 1: age well. I can only imagine, but but you know,

1038
01:03:12,520 --> 01:03:14,640
Speaker 1: then he would say, then Bloomberg would say, hey, I've

1039
01:03:14,680 --> 01:03:17,800
Speaker 1: got you know, celebrity endorsements like friend Dresser, I've got

1040
01:03:17,840 --> 01:03:20,600
Speaker 1: you know, like three or five percent of the vote

1041
01:03:20,720 --> 01:03:22,840
Speaker 1: or ten percent of the vote or whatever. I'll throw

1042
01:03:22,880 --> 01:03:26,040
Speaker 1: them to you if you make me secretary of bloom

1043
01:03:26,040 --> 01:03:29,360
Speaker 1: Burgery or whatever. But again, throw them, you mean, just

1044
01:03:29,560 --> 01:03:33,960
Speaker 1: endorse this candidates, right, but then also take his massive

1045
01:03:34,000 --> 01:03:38,280
Speaker 1: war chest from his campaign and maybe start donating it.

1046
01:03:39,160 --> 01:03:43,040
Speaker 1: You know, the email, the email listen you've generated in

1047
01:03:43,080 --> 01:03:46,680
Speaker 1: the phone numbers, all it's just all it's all monetize herble.

1048
01:03:46,720 --> 01:03:48,680
Speaker 1: You just send it all out there, you know. I

1049
01:03:48,760 --> 01:03:53,439
Speaker 1: just really quickly, um selfishly, and for no reason other

1050
01:03:53,520 --> 01:03:57,840
Speaker 1: than for my own delight, I very much want Bernie

1051
01:03:57,840 --> 01:04:01,720
Speaker 1: Sanders to become the next president United States because I

1052
01:04:01,760 --> 01:04:04,000
Speaker 1: want to watch SNL. I knew you were going to

1053
01:04:06,440 --> 01:04:08,880
Speaker 1: for the for the foreseeable future in the next four

1054
01:04:08,960 --> 01:04:12,200
Speaker 1: years or however long it is, um with Larry David

1055
01:04:12,520 --> 01:04:14,640
Speaker 1: just on the screen all the time. So because it's

1056
01:04:14,680 --> 01:04:17,720
Speaker 1: like a whole New Curb season, which is out right, Yeah,

1057
01:04:17,760 --> 01:04:20,280
Speaker 1: you think he'd carry that torch the way that that

1058
01:04:20,640 --> 01:04:24,120
Speaker 1: Alec Baldwin has. Yeah, yeah, it's it's it's probably a

1059
01:04:24,160 --> 01:04:27,800
Speaker 1: contractual thing to also, you know, they are actually related.

1060
01:04:27,920 --> 01:04:30,960
Speaker 1: They are cousins. That's right. I didn't know I found that.

1061
01:04:31,200 --> 01:04:33,680
Speaker 1: I didn't believe it either, but it's cousins. Just didn't

1062
01:04:34,000 --> 01:04:37,600
Speaker 1: like yeah, yeah, oh you're blowing my mind right now. Well,

1063
01:04:37,960 --> 01:04:41,600
Speaker 1: I mean that great impression didn't come out of nowhere. Man.

1064
01:04:43,040 --> 01:04:46,680
Speaker 1: But this so this we're putting a light spin at

1065
01:04:46,680 --> 01:04:49,520
Speaker 1: the end because this is a serious issue. You know,

1066
01:04:49,640 --> 01:04:52,320
Speaker 1: we we tend to be pretty mindful when we report

1067
01:04:52,400 --> 01:04:56,080
Speaker 1: on things that are ongoing. This is beyond ongoing. This

1068
01:04:56,120 --> 01:05:00,520
Speaker 1: hasn't happened yet. Really, this is happening next month. Uh,

1069
01:05:00,560 --> 01:05:04,600
Speaker 1: the we can confirm officially that the Census Bureau says

1070
01:05:04,640 --> 01:05:09,439
Speaker 1: there will not be a citizenship question on the census. Uh.

1071
01:05:09,520 --> 01:05:13,080
Speaker 1: Your social media of choice and this is just my opinion,

1072
01:05:13,240 --> 01:05:16,960
Speaker 1: needs to do a much better job of fact checking

1073
01:05:17,440 --> 01:05:20,000
Speaker 1: and uh and stopping some of this kind of copy

1074
01:05:20,080 --> 01:05:25,920
Speaker 1: pasta that proliferates because it's misinforming people. And the only

1075
01:05:26,000 --> 01:05:30,360
Speaker 1: way that a crazy experiment like the United States works,

1076
01:05:30,480 --> 01:05:34,440
Speaker 1: and sorry, my patriotism is showing here is when the

1077
01:05:34,640 --> 01:05:39,440
Speaker 1: people are informed. And in a world of information warfare,

1078
01:05:39,800 --> 01:05:42,560
Speaker 1: which make no mistake, is in full swing and has

1079
01:05:42,600 --> 01:05:46,680
Speaker 1: been then one of the most powerful resources of any

1080
01:05:46,720 --> 01:05:50,280
Speaker 1: republic is being crippled. And one of the most powerful

1081
01:05:50,280 --> 01:05:55,080
Speaker 1: resources of any republic historically has been an informed public.

1082
01:05:56,360 --> 01:06:00,080
Speaker 1: And how long will we have that? I just I

1083
01:06:00,080 --> 01:06:01,800
Speaker 1: didn't want to add anything to that. That was awesome.

1084
01:06:02,040 --> 01:06:03,440
Speaker 1: I don't know. I mean, I mean, it's not a

1085
01:06:03,520 --> 01:06:07,160
Speaker 1: rhetorical question. How long somebody in Vegas is taking bets

1086
01:06:07,200 --> 01:06:09,800
Speaker 1: on this right now? I guarantee it were do right,

1087
01:06:10,000 --> 01:06:12,320
Speaker 1: I mean, just historically we're do No. Yeah, we're in

1088
01:06:12,360 --> 01:06:16,240
Speaker 1: that two year mark. Yeah. Oh man, oh gosh, we're

1089
01:06:16,280 --> 01:06:22,720
Speaker 1: past it, right, yep, yep, We're overdue. Oh well, so

1090
01:06:22,960 --> 01:06:26,840
Speaker 1: before it all burns down, we would like to hear

1091
01:06:26,960 --> 01:06:29,479
Speaker 1: from you. We want to know your take. We spent

1092
01:06:29,600 --> 01:06:32,640
Speaker 1: a lot of time on the citizenship question, but we

1093
01:06:32,680 --> 01:06:36,280
Speaker 1: also want to hear your favorite census conspiracies and maybe

1094
01:06:36,320 --> 01:06:40,520
Speaker 1: not even necessarily in this country, but or in this time,

1095
01:06:40,560 --> 01:06:43,400
Speaker 1: but in other times than in other parts of the world.

1096
01:06:43,720 --> 01:06:45,480
Speaker 1: Let us know. You can find us on Facebook and

1097
01:06:45,640 --> 01:06:47,760
Speaker 1: find us on Instagram. You can find us on Twitter.

1098
01:06:47,840 --> 01:06:51,160
Speaker 1: We love to recommend our Facebook group page. Here's where

1099
01:06:51,160 --> 01:06:53,560
Speaker 1: it gets crazy. You can also find us as individual

1100
01:06:53,720 --> 01:06:56,760
Speaker 1: human people of the Internet. I am at how now

1101
01:06:56,880 --> 01:07:01,640
Speaker 1: Noel Brown exclusively on Instagram. Yeah, I Matt Frederick Underscore

1102
01:07:01,680 --> 01:07:05,479
Speaker 1: I Heart and you can find me on Instagram where

1103
01:07:05,480 --> 01:07:08,920
Speaker 1: I'm at ben Bowling. You can see some of my

1104
01:07:09,120 --> 01:07:13,600
Speaker 1: latest misadventures in other countries. I got successfully in and

1105
01:07:13,600 --> 01:07:17,600
Speaker 1: out of Japan again. That was that was somewhat unexpected

1106
01:07:17,640 --> 01:07:20,080
Speaker 1: but cool. You remember when we said we couldn't tell

1107
01:07:20,080 --> 01:07:23,040
Speaker 1: you about We're been Oh yeah, yeah, well it's on Instagram.

1108
01:07:23,080 --> 01:07:24,760
Speaker 1: If you want to find an appen bully as it

1109
01:07:24,760 --> 01:07:26,240
Speaker 1: does it on your grid. I thought it was only

1110
01:07:26,240 --> 01:07:28,640
Speaker 1: on your story it is. Yeah. Yeah, it was fitted

1111
01:07:28,760 --> 01:07:31,760
Speaker 1: up my first on stage appearance in Japan, which was

1112
01:07:31,840 --> 01:07:35,600
Speaker 1: not on a jumbo tron. I was on stage. Wait no,

1113
01:07:35,680 --> 01:07:38,479
Speaker 1: but I saw a video though, Yeah yeah, yeah, yeah, yeah.

1114
01:07:38,480 --> 01:07:40,280
Speaker 1: I was on the video and then I was on

1115
01:07:40,320 --> 01:07:42,560
Speaker 1: the You were actually on stage? Was this whole thing?

1116
01:07:42,640 --> 01:07:46,840
Speaker 1: This was that pearl Land the San Rio Paradise Amusement Park. Yeah,

1117
01:07:46,840 --> 01:07:48,840
Speaker 1: it's a long story. It's if if you've ever been

1118
01:07:48,840 --> 01:07:51,840
Speaker 1: to Rock City and thought, you know this, whoever made

1119
01:07:51,840 --> 01:07:55,160
Speaker 1: this needed to do more acid than Samualo. Pearl Land

1120
01:07:55,240 --> 01:07:58,680
Speaker 1: is for you. Wait, I'm were you chosen like out

1121
01:07:58,720 --> 01:08:02,480
Speaker 1: of the audience or you have a history of that. Yeah. Wow,

1122
01:08:02,560 --> 01:08:06,160
Speaker 1: well it's it's a story for another day. You're also

1123
01:08:06,200 --> 01:08:09,640
Speaker 1: a quintessentially American looking dude. I'm just gonna point that out. Yeah,

1124
01:08:09,680 --> 01:08:12,240
Speaker 1: there's that, you know. I think that had a fact

1125
01:08:12,800 --> 01:08:16,400
Speaker 1: that part to play. Uh. You can also if you

1126
01:08:16,840 --> 01:08:19,160
Speaker 1: don't like the social means for one reason or another,

1127
01:08:19,200 --> 01:08:21,920
Speaker 1: you can also call us worth. Let's be honest and

1128
01:08:22,080 --> 01:08:26,800
Speaker 1: call Matt directly directly to which. By the way, by

1129
01:08:26,840 --> 01:08:30,200
Speaker 1: the way, man, how many times do you nol and

1130
01:08:30,200 --> 01:08:33,920
Speaker 1: I have to volunteer to be on the voicemail ring.

1131
01:08:34,400 --> 01:08:40,639
Speaker 1: I sent it to you guys, and yeah, I'll send

1132
01:08:40,640 --> 01:08:43,920
Speaker 1: it again. Already done your pet. Okay, I'll dig back

1133
01:08:43,960 --> 01:08:47,400
Speaker 1: and find it. Because you shouldn't be you should not

1134
01:08:47,760 --> 01:08:52,080
Speaker 1: be shouldering that cross alone. It's all good. I we

1135
01:08:52,400 --> 01:08:55,479
Speaker 1: okay putting this out there, Nolan, I, while you were

1136
01:08:55,479 --> 01:08:59,200
Speaker 1: in Japan did a listener voicemail episode. I only went

1137
01:08:59,280 --> 01:09:03,160
Speaker 1: through about fifty sixty voicemails to get the batch that

1138
01:09:03,240 --> 01:09:06,040
Speaker 1: we ended up using. That that's still kind of a lot. Well,

1139
01:09:06,040 --> 01:09:09,200
Speaker 1: and we didn't use all of them. Um, we certainly

1140
01:09:09,240 --> 01:09:11,240
Speaker 1: didn't use all fifty. We we boiled down to like

1141
01:09:11,280 --> 01:09:15,639
Speaker 1: ten maybe. Um in that time that day until right

1142
01:09:15,640 --> 01:09:23,000
Speaker 1: now we've received another forty voicemails, So I'm like, uh,

1143
01:09:23,200 --> 01:09:25,880
Speaker 1: then I wanted to say too, And we typically do

1144
01:09:25,960 --> 01:09:28,920
Speaker 1: these when someone's out of town or something, but we

1145
01:09:28,960 --> 01:09:30,920
Speaker 1: had a really good time doing it and if and

1146
01:09:30,960 --> 01:09:33,519
Speaker 1: found that it was a pretty great organic way to

1147
01:09:33,600 --> 01:09:36,040
Speaker 1: just like talk about a bunch of different stuff. And

1148
01:09:36,200 --> 01:09:38,160
Speaker 1: I personally had a had a blast doing and I

1149
01:09:38,200 --> 01:09:40,080
Speaker 1: think I would put forth maybe we should do them

1150
01:09:40,080 --> 01:09:41,880
Speaker 1: a little more often, make them more more regular, to

1151
01:09:42,160 --> 01:09:44,719
Speaker 1: cut into that backlock, because there's a lot of goods. Actually,

1152
01:09:44,720 --> 01:09:47,080
Speaker 1: I mean, I'm on the research side because I think

1153
01:09:47,120 --> 01:09:49,639
Speaker 1: that I think that it's good to have some more

1154
01:09:49,680 --> 01:09:51,800
Speaker 1: substantive stuff. But I see what you're saying about the

1155
01:09:51,800 --> 01:09:55,479
Speaker 1: listener mail and I'm totally down. Yeah, yeah, I would

1156
01:09:55,520 --> 01:09:58,639
Speaker 1: love to do more, just because everyone who was calling

1157
01:09:58,640 --> 01:10:01,519
Speaker 1: in just has wonderful, really interesting things to say. So

1158
01:10:01,800 --> 01:10:04,679
Speaker 1: uh yeah, let's do that. Our number is one, eight

1159
01:10:04,880 --> 01:10:09,320
Speaker 1: three three st d W y t K. Give us

1160
01:10:09,320 --> 01:10:11,280
Speaker 1: a call three minutes. You got You can leave more

1161
01:10:11,280 --> 01:10:14,360
Speaker 1: than one if you wish, or you know, just leave

1162
01:10:14,439 --> 01:10:16,719
Speaker 1: one nice and short one. Those are the best because

1163
01:10:16,760 --> 01:10:19,120
Speaker 1: they work really well in an episode for us. All

1164
01:10:19,200 --> 01:10:21,080
Speaker 1: right here here we go. If you don't want to

1165
01:10:21,080 --> 01:10:22,599
Speaker 1: do that stuff, you can always send us a good

1166
01:10:22,600 --> 01:10:45,080
Speaker 1: old fashioned email. We are conspiracy at iHeart radio dot com.

1167
01:10:45,200 --> 01:10:47,040
Speaker 1: Stuff they Don't Want you to Know is a production

1168
01:10:47,040 --> 01:10:49,799
Speaker 1: of I heart Radio's How Stuff Works. For more podcasts

1169
01:10:49,840 --> 01:10:52,080
Speaker 1: from my heart Radio, visit the i heart radio app,

1170
01:10:52,160 --> 01:10:55,000
Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows.