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Speaker 1: Fellow conspiracy realist. We are returning to you with an

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Speaker 1: episode that we discussed a bit off air back in

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Speaker 1: twenty twenty. As we all recall, there was a bit

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Speaker 1: of a hubbub, a hulla baloo, a kerfuffle of sorts

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Speaker 1: regarding the concept of US citizenship and the concept of

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Speaker 1: a crazy but important thing the country does called the census.

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Speaker 2: Y'all did when you took like civics, I guess is

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Speaker 2: what they're typically calling in school. Did they ever call

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Speaker 2: it citizenship for you? That was what it was called

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Speaker 2: in my upbringing, in my schooling. I thought that was interesting,

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Speaker 2: What do you mean class? The class was called citizenship

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Speaker 2: instead of like civics or Yeah, it was just called

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Speaker 2: citizenship mm hmmm, which is a little bit politically loaded

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Speaker 2: if you think about it, right.

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Speaker 3: It's interesting.

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Speaker 1: This was Augusta, Georgia. Yeah, it was Augusta, Georgia.

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Speaker 2: Yeah, at a Magnet school. It did do a lot

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Speaker 2: of their own curriculum that was maybe a little bit

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Speaker 2: different than what the state required. But I don't know

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Speaker 2: that I've ever heard of anywhere else that called those

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Speaker 2: types of classes citizenship that you're usually just like government

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Speaker 2: or civics it'd be fascinating to learn who was on

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Speaker 2: the school board at the time.

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Speaker 1: Now you took that class. We know that the census

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Speaker 1: is all right, so every so often, the United States,

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Speaker 1: at least used to be it would put a great

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Speaker 1: deal of effort into figuring out the demographics of every

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Speaker 1: person in the country.

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Speaker 2: Kind of the Nielsen's ratings system of America, like quite

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Speaker 2: civil population because it's imperfect.

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Speaker 1: Yeah, and a good gig if you can get it

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Speaker 1: as temporary employment. This became a measure of controversy back

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Speaker 1: in twenty twenty when we were exploring concerns about like

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Speaker 1: valid questions a lot of people in the country had

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Speaker 1: about whether or not agreeing to participate in these censes

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Speaker 1: would have implications for your legal status down the road.

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Speaker 1: And to be clear, Matt Noel and yours truly are

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Speaker 1: not profits. We're not prognosticators. We did not know what

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Speaker 1: was on the way.

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Speaker 4: Oh, we had no idea. And just as a fun

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Speaker 4: bit of trivia, this episode came out during lockdown for

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Speaker 4: COVID nineteen, so this was like lockdown for COVID nineteen

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Speaker 4: is March twenty twenty. This came out on March fourth,

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Speaker 4: twenty twenty.

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Speaker 1: Yeah, yeah, yeah, we all remember. I think that moment

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Speaker 1: walking through the ghost of our office in Ponce de Leyon,

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Speaker 1: and I vividly remember seeing so many people's calendars that

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Speaker 1: were left on March nineteenth, which is when the storm

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Speaker 1: really began to hit. But we always have a census

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Speaker 1: coming up in the US, and I got to ask you, guys,

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Speaker 1: do you participate in the census stuff? Are you dodging

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Speaker 1: those door knocks? What's going on?

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Speaker 2: I think now I'm more into it. I certainly in

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Speaker 2: the past was probably just lazy and maybe just threw

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Speaker 2: it away. But I think it's a good thing to

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Speaker 2: be a part of.

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Speaker 4: I have no idea how I would have answered that

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Speaker 4: in March twenty twenty, and I want to find out.

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Speaker 5: So let's jump in from UFOs to psychic powers and

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Speaker 5: government conspiracies. History is riddled with unexplained events. You can

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Speaker 5: turn back now or learn this stuff they don't want

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Speaker 5: you to know. A production of iHeart Radios How Stuff Works.

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Speaker 4: Hello, Welcome back to the show. My name is Matt,

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Speaker 4: my name is not.

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

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Speaker 1: our super producer Paul Mission Control decond. Most importantly, you

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Speaker 1: are here, and that makes this stuff they don't want

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Speaker 1: you to know. Let's begin today's episode a little bit differently.

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Speaker 1: We received an email. We receive a lot of email.

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Speaker 1: Some of the best suggestions for show topics come from

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Speaker 1: our favorite part of the show, your fellow listeners. This

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Speaker 1: email comes to us from a guy we'll call Jonathan

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Speaker 1: Be because that is his name. Jonathan Bee says, good evening, gentlemen.

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Speaker 1: I have two ideas that I have genuine questions about,

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Speaker 1: and it would honestly like an open minded answer to

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Speaker 1: I feel you guys give a fair perspective and I'd

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Speaker 1: like to hear your thoughts on these matters. And Jonathan's

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Speaker 1: email goes on for a while, but he had one

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Speaker 1: point that we wanted to investigate today in this episode,

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Speaker 1: and it is the US citizenship question on the US Census.

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Speaker 1: Nathan's questions are why is this 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: question 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've been paying attention from twenty

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Speaker 1: eighteen twenty nineteen, as we gear up to the Census,

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Speaker 1: have heard at least about this debate, and it brings

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Speaker 1: us to some basic questions for everybody listening. We're mainly

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Speaker 1: 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, there

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Speaker 1: thoughts are there's 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 twenty ten here, right.

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Speaker 3: Yeah, I guess so.

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Speaker 4: I love that I needed to provide how many people,

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Speaker 4: including babies live at my current residence.

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Speaker 2: I think I did that? Was it like mandatory? Am

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Speaker 2: I going to get in trouble?

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Speaker 1: So?

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Speaker 3: Like not doing your taxes?

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Speaker 4: Wait, you didn't do your census?

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Speaker 2: I don't know, Like no one came to me, No

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Speaker 2: one brought me one. Was I supposed to like find

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Speaker 2: it myself?

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Speaker 1: I think you get something in the mail.

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Speaker 3: Okay, I guess I'm not a good citizen.

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Speaker 1: That was that from the jump? Well, it's it's tough

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Speaker 1: because it's a matter of hurting so many cats, where

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Speaker 1: a species where legitimately more than twelve people can't seem

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Speaker 1: to get along, right, That's why we cut juries off

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Speaker 1: at twelve. And now we're asking millions, hundreds of millions

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Speaker 1: of people to answer questions, and we're trying to get

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Speaker 1: all our ducks in a row. It's a herculean impossible task.

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Speaker 1: And the census is a pretty unique experience. Right here

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Speaker 1: in the States. We've been pretty pro census since all

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Speaker 1: the way back in seventeen ninety that first census. The

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Speaker 1: census is mandated by the Constitution. It was instituted by

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Speaker 1: George Washington, and ever since that point, our country has

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Speaker 1: conducted one of these things every ten years, every decade.

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Speaker 1: As a matter of fact, as we record today's episode,

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Speaker 1: it is twenty twenty and Uncle Sam is once again

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Speaker 1: gearing up for the census. However, this time around it's

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Speaker 1: become a little bit different. As you could tell from

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Speaker 1: Jonathan's earlier email, the census has become a hotbed of controversy,

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Speaker 1: and at least more so than in the past actually,

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Speaker 1: and it's become the subject of no small amount of

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Speaker 1: criticism as well as of course conspiratorial allegations. But to

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Speaker 1: look at the controversy about the citizenship question on a census,

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Speaker 1: we have to start at the beginning. What the heck

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Speaker 1: is a census? Actually, Well, here are the facts.

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Speaker 4: Before we hit the facts. Well, maybe this is a fact.

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Speaker 4: It makes sense that the census is having a really

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Speaker 4: rough time. It's just going through changes right now.

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Speaker 1: It makes census.

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Speaker 4: It makes census because it's twenty three. It's twenty three,

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Speaker 4: it's turning twenty three. It's like early twenties, you know, really,

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Speaker 4: I mean it can.

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Speaker 3: Rent a car now or no, not quite five, right,

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Speaker 3: it can't be president yet.

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Speaker 4: Yeah, but you know, it's it's learning a lot about itself.

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Speaker 4: I would say, yeah, and we're in it really is

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Speaker 4: interesting this episode. I'm really happy that we're doing this.

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Speaker 4: I just want to put that out there. This is

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Speaker 4: the kind of thing it is tough to talk about.

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Speaker 4: As was said by our you know, our listener who

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Speaker 4: wrote to us, there, we're gonna we're gonna talk about

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Speaker 4: some things that make us and you and everyone in

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Speaker 4: the world a little uncomfortable. But it's important.

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Speaker 3: Well we didn't make you a little uncomfortable, we wouldn't

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Speaker 3: be doing our job right A little just a little uncomfortable.

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Speaker 4: There you go. So let's let's get to the fact.

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Speaker 4: Just do it.

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Speaker 5: Uh.

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Speaker 2: The concept of a census is in fact ancient. At

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Speaker 2: least nine separate censuses UH censuses as it says, yeah,

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Speaker 2: are mentioned in the Bible. Historians don't quite agree on

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Speaker 2: when the first North America and census occurred. Some argue

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Speaker 2: that the first one was in fifteen seventy six, two

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Speaker 2: hundred years before America gained independence from the British Spanish

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Speaker 2: king Philip is Icond, who wanted information on some of

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Speaker 2: his colonies and what taxes they paid. Reasonable sent American

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Speaker 2: Indians through what is now Mexico with a list of

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Speaker 2: one hundred questions. Slightly less reasonable. The Indians spoke no Spanish,

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Speaker 2: of course, so they recorded the answers in hieroglyphs and

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Speaker 2: made maps the same exact way. Very interesting process here.

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Speaker 2: Others claim it occurred in Canada, then known as New France,

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Speaker 2: was conducted by Jean tellann On, behalf of the French King.

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Speaker 2: Tellan apparently himself went door to door during the winter

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Speaker 2: of sixteen sixty five through sixty six and counted three

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Speaker 2: two hundred and fifteen people of European descent.

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Speaker 1: There's an important point here because you'll notice when we

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Speaker 1: talk about the disagreement over the first census in North America,

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Speaker 1: both of those possible predecessors to the US census are

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Speaker 1: also European in nature, so it's quite possible say that

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Speaker 1: the population of Cohoka or something had their own version

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Speaker 1: of a census, or one of the empires in Mesoamerica.

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Speaker 1: These are the ones we know about because we have documentation.

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Speaker 4: Can I jump back to the Bible? Really fascinating? I

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Speaker 4: feel like we just hit it. And then because we're

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Speaker 4: about to talk about why in the United States the

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Speaker 4: census exists and what it's about, right, the reasoning behind

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Speaker 4: having one in the Bible, at least, it appears from

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Speaker 4: a lot of the verses and the stories in which

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Speaker 4: those verses are contained, that the census was used to

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Speaker 4: keep track of certain populations, right, I mean all populations,

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Speaker 4: but very specifically, certain tribes of Israelites are in there.

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Speaker 4: And it's the way it's spoken about in those verses.

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Speaker 4: It seems like attempting to make sure that those numbers

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Speaker 4: don't get too high, or or at times make sure

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Speaker 4: those numbers are rising.

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Speaker 1: Or make sure that those people are located in the

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Speaker 1: right region or not moving into a neighborhood where they're

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Speaker 1: not desired. Yeah, it's it's weird. And also, did you

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Speaker 1: I know you like Mitchell and Webb the Mitchell Web. Look,

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Speaker 1: do you remember that sketch about this the Good Samaritan?

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Speaker 4: Oh, yes, yes I do.

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Speaker 1: It's so ridiculous. We see a little bit of the

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

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

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Speaker 1: is still pretty hilarious.

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Speaker 4: But yeah, I just want to put that off there

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Speaker 4: before we jump into in the US, how well, at

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Speaker 4: least on paper or in you know, in actionable terms.

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Speaker 4: The reasoning behind the census, for sure.

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Speaker 1: Yet, make no mistake the first census in the US,

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Speaker 1: as innocuous as it may seem now, the first Census

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Speaker 1: was entirely meant to figure out how many dudes were

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Speaker 1: eligible to join the army. How many people can we

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Speaker 1: put on the ground with guns in the trenches, how

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Speaker 1: many people can we send to die?

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Speaker 4: Well, yeah, and where they are within the territory, so like,

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Speaker 4: how many men could be deployed from this area right right?

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Speaker 1: And this was a big project. Six hundred and fifty

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Speaker 1: US marshals took eighteen months to figure this out. And

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

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

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Speaker 1: because they had. They were literally taking you, guys, quill

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

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

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Speaker 1: asking like six questions which were all did not age well.

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Speaker 1: They aged like milk, as Reddit would say, from questions

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Speaker 1: like how many people in your household are white freemen

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Speaker 1: under over sixteen? How many are white freemen in general?

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Speaker 1: How many are white free women? Okay, your free people?

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Speaker 1: And then how many are slaves? It was like that

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Speaker 1: kind of stuff y, no household income question, No, none

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Speaker 1: of the more nuanced questions that exist today. This whole

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Speaker 1: project took more than a year, eighteen months. It costs

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

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Speaker 1: so one point twenty six million in today's cash. And

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Speaker 1: it sounds expensive until you compare it with the twenty

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Speaker 1: twenty census, the one happening this year next month. In fact,

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

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Speaker 1: Oh yeah, yeah, bubba ba billion, uh huh ba ba

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Speaker 1: ba ba billion. It works out to a little bit

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Speaker 1: less than one hundred dollars per household.

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Speaker 3: That's insane, I mean, I don't know.

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Speaker 2: I don't want to poopoo on the census party or anything,

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Speaker 2: but is it really that valuable?

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Speaker 3: Are there not better ways to do it? To like

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Speaker 3: do Nielsen's like the way you do for television ratings.

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Speaker 1: Nielsen's are a horrible man, I know, but it's lazy.

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Speaker 1: You don't have to go door to door.

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Speaker 3: I mean you could get to like is it does

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Speaker 3: it have to be like really precise? Like what will

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Speaker 3: be using this information for?

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Speaker 4: You're talking about sample size, like as in Nielsen versus

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Speaker 4: the entire thing? Yeah, I mean, how do you blanket everything?

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Speaker 1: Right?

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Speaker 4: If you're because we're talking about a little bit later maybe,

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Speaker 4: but if right now, if you're going to propose to

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Speaker 4: do it electronically, you'd have to guarantee that at least

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Speaker 4: one person from each household has access to the internet.

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Speaker 4: A machine that can access that Internet has the understanding,

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Speaker 4: like the full understanding of who all lives in that house,

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Speaker 4: you know, the income, the all the questions that are

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Speaker 4: included in the census. I mean, it's obviously going to

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Speaker 4: go there, and it's going to have to go there

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Speaker 4: at some point, I think, But right now, if you

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Speaker 4: tried to do that, you would get a sample size.

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Speaker 3: That's true. It's a good point, man.

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Speaker 1: It's it's also a good point that the technology is outdated.

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Speaker 1: There is, in theory an opportunity to get a better answer.

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Speaker 1: But it sounds like the I want to address the

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Speaker 1: first question you asked there, noel, which is is this

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Speaker 1: worth it? That's a great question. The answer is yes,

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

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Speaker 1: the census is less concerned with figuring out who they

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Speaker 1: can take from a house and put on a battlefield

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Speaker 1: and more concerned with political power. 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 US House

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

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

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Speaker 1: at least one, Even if you're a 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, folks.

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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 list it as

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Speaker 1: a quote enumeration of inhabitants, but it's evolved into something

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Speaker 1: else along the way as 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,

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Speaker 1: and it tells us a whole lot about them.

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Speaker 3: That's right.

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Speaker 2: I mean, it does do kind of the same thing

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Speaker 2: in theory that a Nielsen pole does in terms of

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Speaker 2: getting a demographic snapshot.

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Speaker 3: Right.

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Speaker 2: It's a little bit more of a looking for trends

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Speaker 2: kind of situation. Right, So we might be trying to

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Speaker 2: see where the population is growing whereas declining, are people moving,

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Speaker 2: how many people live in the big cities, how many

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Speaker 2: children are there in average households. And then there's some

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Speaker 2: controversial ones that potentially are a little bit of a

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Speaker 2: divisive how these might be used, what is the racial

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Speaker 2: and ethnic breakdown in particular regions? And overall and all

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Speaker 2: this is important for a few reasons.

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Speaker 1: Right, It's great for quiz shows like Jeopardy. These stats

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Speaker 1: are handy and what the podcast industry a few years

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Speaker 1: ago used to call snackable. Go ahead and cringe with

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Speaker 1: us to that. One second reason it's important is that

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

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Speaker 1: budget for social welfare programs.

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Speaker 4: Isn't it crazy to get an update every ten year?

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Speaker 1: Every ten years, sorry.

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Speaker 4: For ten years, we're going to use these statistics.

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Speaker 1: We'll get back to you, right.

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Speaker 4: Yeah, 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

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

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

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

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Speaker 1: term welfare have both become seen as like bad words. Right, sure,

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Speaker 1: but social welfare is part of the duty of a

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Speaker 1: state in one degree or another. Some states in the

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Speaker 1: past have approached it differently, like theocracies award certain rights

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Speaker 1: to people who follow the state religion while punishing others.

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Speaker 1: There have been more nationalistic states, you know that only

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Speaker 1: grant certain rights to certain ethnicities. But if you look

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Speaker 1: at every state, every state in history, they have some

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Speaker 1: form of what we would call social welfare. It's sort

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

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Speaker 1: of a country like a country club. Yes, you paid

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Speaker 1: dues and a set schedule. Those are your taxes, and

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Speaker 1: in return for that, you get certain things like protection

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Speaker 1: from say another country club that for some reason has

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Speaker 1: an army, or you know what I mean, Or you

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Speaker 1: get to use the golf course, stuff like that.

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Speaker 4: Yeah, there are perks to being a member of it.

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Speaker 1: Right, it's a club. You pay dues, so.

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Speaker 4: It's mostly so you can get into a darkened room

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Speaker 4: with other people of your social strata. They're in a

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Speaker 4: different industry maybe.

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Speaker 1: And steeple your fingers right. Yes, So it is true

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Speaker 1: that cities and private industry alike, they use these figures

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Speaker 1: to do things like planning hospital expansions. Where we've seen

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Speaker 1: a lot of kids being born, let's put some money

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Speaker 1: into like you know, New York is exploding, we need

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Speaker 1: more maternity wards or something like that. That and that's

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

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Speaker 1: tracks where do we need to prepare for new housing developments?

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Speaker 1: Where do we need to build more schools?

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Speaker 4: Yeah, and that's a huge deal. And it has nothing

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Speaker 4: to do in this way. It has nothing to do

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Speaker 4: with performance necessarily, of like how a school is doing,

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Speaker 4: how a group of teachers are doing, or students are

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Speaker 4: doing on standardized testing. That's a whole other thing. In

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Speaker 4: this case, it's just how many people are in this

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Speaker 4: area and how many schools are there?

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Speaker 1: Butts and seats, right, that's it. And this is a

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Speaker 1: huge amount of cash. So we said we named a

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Speaker 1: pretty crazy number for the cost of the census in

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Speaker 1: twenty twenty. It's going to be over fifteen billion or

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Speaker 1: as you said, no, but a billion dollars.

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Speaker 4: Yeah, how could that be worth it?

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Speaker 1: Well, yeah, we have to consider it's investing almost sixteen

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Speaker 1: billion dollars to figure out what to do with the

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Speaker 1: more than six hundred and seventy five billion dollars that

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Speaker 1: federal and state government and put toward public service and infrastructure.

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Speaker 1: So this data is crucial. It is so profoundly important.

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Speaker 1: And that's why everybody who lives in the US right now,

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

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Speaker 1: of your citizenship status, everyone is technically required by law

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

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Speaker 1: not lie on it. Basically, I must have done it.

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Speaker 3: I must have just blanked it out because it was

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Speaker 3: such a benign activity.

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Speaker 1: Yeah.

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Speaker 2: I should have looked at it as like doing my

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Speaker 2: you know, social duty though, like in the same way

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Speaker 2: that you know Jerry duty.

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Speaker 4: Right, But twenty ten was a weird year. It just

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Speaker 4: kind of happened and then it was over, and I

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Speaker 4: don't remember much of it, honestly.

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Speaker 2: Well, you distinctly remember both of you doing the census.

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Speaker 2: Was did you someone come to your door, she gets

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Speaker 2: something in the mail? What was the process like for

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Speaker 2: you guys?

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Speaker 4: It was a mailer for me?

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Speaker 1: Okay, Well, I remember because I have I have certain

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Speaker 1: there's no gotcha answers on the census, or there weren't,

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Speaker 1: so that might be part of why you don't remember it.

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Speaker 1: But I remember any government form like that because there

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Speaker 1: are answers. There are things I have to like legally

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Speaker 1: put in that are different enough that I remember when

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Speaker 1: I write them down, just because just because it's you know,

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Speaker 1: it's one of those things where you have to like

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Speaker 1: check other and then like you have to explain yourself.

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Speaker 4: Dude.

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Speaker 3: I have those these days.

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Speaker 2: I fill out things by hand, so and frequently that

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Speaker 2: alone would be like a memory jogger.

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Speaker 4: You know. I just have to say, remember, we are

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Speaker 4: you know, ostensibly three white males, you know, mostly in

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Speaker 4: this room, who are like doing okay financially and all

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Speaker 4: these things. Like it's a different experience for us than

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Speaker 4: it is for a lot of other people. Sure right, Yeah,

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Speaker 4: I mean just making sure put out there just if

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Speaker 4: you're talking about my wife who's Cuban, it becomes a

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Speaker 4: very strange thing and what you're talking about having to

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Speaker 4: kind of clarify some things, you know that yeah, there,

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Speaker 4: it's not just a standard mark a box.

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Speaker 1: And it's always a weird it's always a weird feeling

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Speaker 1: when you get a form from a government or a

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Speaker 1: large institution that says, explain yourself, Yeah, wait, what's your

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Speaker 1: whole deal? Are you? Are you? Are you white? Are

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Speaker 1: you Latin X? What kind would you know? What I mean?

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Speaker 1: Like those questions, uh, those questions can seem really off putting,

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Speaker 1: especially the stuff about race or ethnicity, you know, and

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Speaker 1: there are a lot of people who would legally put

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Speaker 1: other especially you know, in the day, Like we have

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Speaker 1: to consider now in twenty twenty, 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.

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Speaker 4: Oh, it's gonna be so interesting.

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Speaker 1: And then they and now they're like, well, I am

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Speaker 1: definitely not just one thing, because race is such a

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Speaker 1: social construct to begin with.

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Speaker 4: So oh, that's great, Ben, I haven't thought about that

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Speaker 4: as like as the census approaches, so wow, this.

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Speaker 1: Is the thing though, this is the law everybody who

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Speaker 1: lives here, regardless of whether or not you have your citizenship,

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Speaker 1: you're supposed to fill this out. The idea being that

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Speaker 1: this is a team effort and this helps us figure

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Speaker 1: out where to put our collect where best to put

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Speaker 1: our collective dues that we've been paying all the time,

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Speaker 1: aside from hospitals, aside from schools and all that other stuff.

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Speaker 1: There is a sinister side to the census, but we'll

439
00:24:40,320 --> 00:24:43,919
Speaker 1: get to that in a moment. First, let's look at

440
00:24:43,960 --> 00:24:47,320
Speaker 1: the census today. After a quick word from our sponsor,

441
00:24:54,680 --> 00:24:57,879
Speaker 1: and we're back. So the census today this year, at

442
00:24:57,920 --> 00:25:02,359
Speaker 1: least twenty twenty, it's already started. If you were worried

443
00:25:02,400 --> 00:25:05,200
Speaker 1: about the Census for one reason or another, put your

444
00:25:05,200 --> 00:25:08,560
Speaker 1: worries in present tense, because it's happening now. On January

445
00:25:08,560 --> 00:25:12,879
Speaker 1: twenty first, the US Census Bureaus started counting populations, and

446
00:25:12,920 --> 00:25:18,640
Speaker 1: they actually started in the remote wilderness of Alaska, specifically

447
00:25:18,720 --> 00:25:24,920
Speaker 1: a rural Alaskan village called Tuksuk Bay or Toksok Bay.

448
00:25:25,560 --> 00:25:29,600
Speaker 1: And this won't hit the majority of Americans until mid

449
00:25:29,800 --> 00:25:34,640
Speaker 1: March twenty twenty. Next month, that's when households across the nation,

450
00:25:34,920 --> 00:25:38,200
Speaker 1: including yours if you live here, quite possibly, we'll start

451
00:25:38,200 --> 00:25:42,720
Speaker 1: receiving invitations to complete the census. You can respond a

452
00:25:42,760 --> 00:25:46,920
Speaker 1: couple of different ways. You can respond online, you can

453
00:25:47,040 --> 00:25:51,600
Speaker 1: respond in the mail. They want to give you multiple

454
00:25:51,680 --> 00:25:56,240
Speaker 1: avenues to let them know who you are and what

455
00:25:56,280 --> 00:25:56,879
Speaker 1: your deal is.

456
00:25:57,240 --> 00:25:59,840
Speaker 4: Yeah, it really is a fun season that we're in.

457
00:26:00,119 --> 00:26:02,359
Speaker 4: You guys, We get to fill out the census and

458
00:26:02,400 --> 00:26:05,240
Speaker 4: then immediately, if you haven't yet, scrambled to get your

459
00:26:05,280 --> 00:26:06,200
Speaker 4: taxes filed.

460
00:26:06,480 --> 00:26:09,399
Speaker 1: Oh yeah, that's right. I uh, you know what I

461
00:26:09,400 --> 00:26:11,399
Speaker 1: wish they would do on the census is make it

462
00:26:11,480 --> 00:26:14,240
Speaker 1: just I know this sounds irresponsible. Make it just a

463
00:26:14,240 --> 00:26:18,040
Speaker 1: little more fun. Have some randomly distributed wild card questions,

464
00:26:18,080 --> 00:26:22,000
Speaker 1: like hypothetical like if you were an animal, what animal

465
00:26:22,040 --> 00:26:22,520
Speaker 1: would you be?

466
00:26:23,080 --> 00:26:25,640
Speaker 3: You know, an intervi a section or a mad lib

467
00:26:26,000 --> 00:26:26,520
Speaker 3: right right?

468
00:26:26,600 --> 00:26:29,800
Speaker 1: Yeah? And then maybe because it's the census, don't let

469
00:26:29,880 --> 00:26:31,920
Speaker 1: people just ride in the animal. Just give them a

470
00:26:32,040 --> 00:26:37,560
Speaker 1: choice of like seven animals that are not particularly popular choices.

471
00:26:37,640 --> 00:26:41,639
Speaker 4: You know, if the next Batman movie could contain any villain,

472
00:26:42,040 --> 00:26:43,320
Speaker 4: what would it be and why?

473
00:26:43,480 --> 00:26:46,520
Speaker 1: Calendar man? That would be appropriate for the census and

474
00:26:46,640 --> 00:26:49,600
Speaker 1: tax season? God, calend Do you guys remember are you

475
00:26:49,640 --> 00:26:54,200
Speaker 1: familiar with DC comics calendar Man? Yeah, there's a real

476
00:26:54,240 --> 00:26:56,720
Speaker 1: calendar man. Look aboup. He has no superpowers, see like.

477
00:26:56,680 --> 00:26:57,680
Speaker 3: An accountant by day?

478
00:26:57,920 --> 00:27:01,240
Speaker 1: Like, No, he has a costume, it's just calendars.

479
00:27:01,520 --> 00:27:02,600
Speaker 3: What's a super power can he?

480
00:27:02,680 --> 00:27:02,760
Speaker 4: Like?

481
00:27:02,800 --> 00:27:04,280
Speaker 3: He doesn't have manipulate time?

482
00:27:04,680 --> 00:27:08,040
Speaker 4: No, he knows exactly what happened every day of every

483
00:27:08,119 --> 00:27:09,280
Speaker 4: year at any moment.

484
00:27:09,440 --> 00:27:13,760
Speaker 1: He's an inventor. He's a calendar themed inventor. So many

485
00:27:13,840 --> 00:27:17,320
Speaker 1: DC villains have no powers. They just have weird costumes

486
00:27:17,760 --> 00:27:19,600
Speaker 1: and then they have a thing They love like. I

487
00:27:19,680 --> 00:27:24,399
Speaker 1: was so surprised that Captain Boomerang made it into suicide squad. Dude,

488
00:27:24,440 --> 00:27:26,240
Speaker 1: his whole thing is that he is he is a

489
00:27:26,400 --> 00:27:28,600
Speaker 1: bogan stereotype. You know what a bogan is.

490
00:27:28,840 --> 00:27:30,600
Speaker 4: It's an Australian. I forget the.

491
00:27:30,680 --> 00:27:35,480
Speaker 1: Redneck yes exactly, yeah, or a chav that that that has

492
00:27:35,600 --> 00:27:38,720
Speaker 1: nothing to do with the census. Uh, Captain Boomery, let

493
00:27:38,800 --> 00:27:41,480
Speaker 1: us know your your weirdest DC villain. Let us know

494
00:27:41,520 --> 00:27:43,679
Speaker 1: who you think would be in a Batman movie. And

495
00:27:43,760 --> 00:27:45,359
Speaker 1: let us know what you think about the idea of

496
00:27:45,400 --> 00:27:48,600
Speaker 1: some mad libs or some hypothetical some fun questions on

497
00:27:48,680 --> 00:27:53,240
Speaker 1: the Census. What happens next? So we're at mid March,

498
00:27:53,440 --> 00:27:57,600
Speaker 1: people are starting to get the letters, and now the

499
00:27:57,640 --> 00:27:59,800
Speaker 1: Census Bureau has to deal with one of the biggest

500
00:27:59,840 --> 00:28:02,640
Speaker 1: problems they will deal with in the course of their investigation,

501
00:28:03,240 --> 00:28:07,600
Speaker 1: which is finding people who have slipped through the system

502
00:28:07,720 --> 00:28:10,560
Speaker 1: or live on the edges of it. So that's why

503
00:28:11,400 --> 00:28:18,560
Speaker 1: they'll spend three days projected March thirtieth April first attempting

504
00:28:18,600 --> 00:28:22,960
Speaker 1: to count the number of people who are currently experiencing homelessness.

505
00:28:23,280 --> 00:28:27,000
Speaker 1: Only three days. Isn't that crazy? Only three days?

506
00:28:27,320 --> 00:28:27,520
Speaker 3: Yeah?

507
00:28:27,520 --> 00:28:30,000
Speaker 4: The number of people involved must be staggering.

508
00:28:30,520 --> 00:28:33,600
Speaker 1: So they'll go to shelters, They'll go to soup kitchens,

509
00:28:33,720 --> 00:28:36,879
Speaker 1: mobile food vans, they'll go to places on the streets.

510
00:28:36,960 --> 00:28:39,400
Speaker 1: You know, every city or town does have a place

511
00:28:39,400 --> 00:28:41,960
Speaker 1: where you see people who have to sleep rough. They

512
00:28:42,000 --> 00:28:44,440
Speaker 1: tend to congregate there, maybe for shelter or something.

513
00:28:44,520 --> 00:28:47,560
Speaker 2: I wonder if they employ any kind of social services assistance.

514
00:28:47,560 --> 00:28:49,479
Speaker 2: I mean, I know a lot of those organizations are

515
00:28:49,520 --> 00:28:52,800
Speaker 2: so strapped for you know, resources already.

516
00:28:53,000 --> 00:28:53,840
Speaker 3: I kind of think not.

517
00:28:54,240 --> 00:28:57,520
Speaker 2: But I also do think that just your average census

518
00:28:57,520 --> 00:29:00,360
Speaker 2: worker going into situations like that, that could be some

519
00:29:00,400 --> 00:29:04,240
Speaker 2: potential for some you know, tricky situations, I would.

520
00:29:04,040 --> 00:29:10,000
Speaker 1: Think, right, Like, imagine, imagine you are a census worker.

521
00:29:10,640 --> 00:29:13,680
Speaker 1: You're a college student who just found a cool temporary job,

522
00:29:14,040 --> 00:29:17,760
Speaker 1: and you're in LA and you're not from LA for

523
00:29:17,760 --> 00:29:20,400
Speaker 1: some reason, you're you're unfamiliar with the territory, and you

524
00:29:20,480 --> 00:29:22,320
Speaker 1: have to go to skid row, right, you know what

525
00:29:22,400 --> 00:29:24,880
Speaker 1: I mean, you probably want someone who has on the

526
00:29:24,880 --> 00:29:27,840
Speaker 1: ground experience and familiarity. I think that's a very good point.

527
00:29:28,240 --> 00:29:33,719
Speaker 4: Or just approaching a rural home somewhere in Iowa or something,

528
00:29:33,880 --> 00:29:34,280
Speaker 4: you know.

529
00:29:34,360 --> 00:29:36,400
Speaker 1: Or in Georgia. You know, Georgia has a lot of

530
00:29:36,440 --> 00:29:42,080
Speaker 1: separatist groups. The sovereign state of the Sovereign Nation of

531
00:29:42,120 --> 00:29:44,240
Speaker 1: Georgia is one of my favorites. So you know what

532
00:29:44,240 --> 00:29:46,440
Speaker 1: they got in trouble for, actually, out of all their stuff,

533
00:29:46,440 --> 00:29:48,800
Speaker 1: they got in trouble for printing their own license plates

534
00:29:49,080 --> 00:29:50,320
Speaker 1: and their own IDs.

535
00:29:50,760 --> 00:29:55,240
Speaker 4: Yeah. Oh, man, but but but really, you know, walking

536
00:29:55,280 --> 00:29:59,480
Speaker 4: on to someone's property where there are laws in states

537
00:29:59,560 --> 00:30:02,400
Speaker 4: that say you can fire a weapon at someone and

538
00:30:02,920 --> 00:30:07,240
Speaker 4: your property. It's yeah, that's a terrifying thought.

539
00:30:07,400 --> 00:30:10,080
Speaker 1: Sticking a dog on you, Yeah, for instance.

540
00:30:09,800 --> 00:30:10,920
Speaker 4: Or maybe even accidentally.

541
00:30:11,440 --> 00:30:14,240
Speaker 1: I had a you know, I had an old associate

542
00:30:14,520 --> 00:30:16,960
Speaker 1: who took a job in twenty ten working for the

543
00:30:17,000 --> 00:30:19,920
Speaker 1: census because he liked the hourly pay and he had

544
00:30:19,920 --> 00:30:20,920
Speaker 1: some war stories.

545
00:30:20,960 --> 00:30:21,160
Speaker 4: Man.

546
00:30:21,240 --> 00:30:25,240
Speaker 1: He had to drive out into the Boonies and met

547
00:30:25,280 --> 00:30:29,000
Speaker 1: a few people who were convinced that the census was

548
00:30:29,520 --> 00:30:33,760
Speaker 1: a sign of the end times government overreach, that there

549
00:30:33,760 --> 00:30:36,760
Speaker 1: were things in the Book of Revelations in their version

550
00:30:36,800 --> 00:30:39,160
Speaker 1: of the Bible that we're tracking with what was happening now,

551
00:30:39,520 --> 00:30:43,880
Speaker 1: specifically with the census, and how social security numbers are,

552
00:30:43,920 --> 00:30:46,080
Speaker 1: the number of the beasts, and things like that you know,

553
00:30:46,280 --> 00:30:52,480
Speaker 1: barcodes Man exactly. Yeah, like the UPC thing. So so

554
00:30:52,680 --> 00:30:55,960
Speaker 1: here we go. These people are trying their best, and

555
00:30:56,000 --> 00:31:01,200
Speaker 1: then people working for the Census Bureau are not. They

556
00:31:01,320 --> 00:31:06,560
Speaker 1: are not participating in some sort of vast, overarching conspiracy,

557
00:31:06,640 --> 00:31:07,880
Speaker 1: or at least not consciously.

558
00:31:08,120 --> 00:31:10,320
Speaker 4: Yeah, the person at your door right right.

559
00:31:10,560 --> 00:31:14,640
Speaker 1: It's just like, if you have a problem with what's

560
00:31:14,680 --> 00:31:16,880
Speaker 1: the most hated company in the world right now or

561
00:31:16,920 --> 00:31:20,360
Speaker 1: in the US, it's Comcast, right every year, really is

562
00:31:20,520 --> 00:31:25,000
Speaker 1: a survey show. Every year Comcast has been the number

563
00:31:25,000 --> 00:31:27,000
Speaker 1: one most hated company.

564
00:31:27,040 --> 00:31:27,680
Speaker 4: It's so funny, is it.

565
00:31:27,720 --> 00:31:31,040
Speaker 2: You think it's the customer service or just like perceptions

566
00:31:31,080 --> 00:31:31,520
Speaker 2: of greed.

567
00:31:31,880 --> 00:31:32,960
Speaker 4: No, it's customer search.

568
00:31:33,160 --> 00:31:35,480
Speaker 3: I've never had a problem with Comcasts.

569
00:31:35,680 --> 00:31:40,880
Speaker 4: I would agree with you, I think ninety five percent

570
00:31:40,880 --> 00:31:43,040
Speaker 4: of the time. But it is one of the only

571
00:31:43,080 --> 00:31:46,000
Speaker 4: companies where I've had a terrible experience one time.

572
00:31:46,040 --> 00:31:47,480
Speaker 2: There's even a thing, not not to be like a

573
00:31:47,480 --> 00:31:50,320
Speaker 2: Comcast apologist, but like my internet went down the other day,

574
00:31:50,360 --> 00:31:52,120
Speaker 2: there's even a thing where you can look for outages

575
00:31:52,120 --> 00:31:54,600
Speaker 2: in your area and actually use your phone to restart

576
00:31:54,640 --> 00:31:57,440
Speaker 2: your modem and it fixed it instantly. So as far

577
00:31:57,440 --> 00:31:59,280
Speaker 2: as I'm concerning Comcast is a okay.

578
00:31:59,560 --> 00:32:03,000
Speaker 1: Yeah, well they did change their name to Exfinity because

579
00:32:03,040 --> 00:32:04,120
Speaker 1: the heat got too dead.

580
00:32:04,280 --> 00:32:07,640
Speaker 6: Remember that they after they I can't remember which year

581
00:32:07,680 --> 00:32:10,920
Speaker 6: it was that set them over the threshold, but they

582
00:32:10,960 --> 00:32:14,960
Speaker 6: won worst Company in the US like after some amount

583
00:32:14,960 --> 00:32:15,280
Speaker 6: of years.

584
00:32:15,280 --> 00:32:17,320
Speaker 1: So maybe it's just that when people have problems with them,

585
00:32:17,320 --> 00:32:21,440
Speaker 1: they're very bad. But yeah, So the reason I bring

586
00:32:21,520 --> 00:32:23,680
Speaker 1: up Comcast is, you know, even if you have a

587
00:32:23,760 --> 00:32:27,800
Speaker 1: problem with your telecom company, you have to be a

588
00:32:27,920 --> 00:32:31,960
Speaker 1: human being or an impersonate one for a minute and

589
00:32:32,120 --> 00:32:34,720
Speaker 1: realize that the person you're talking to on the phone

590
00:32:35,480 --> 00:32:38,920
Speaker 1: has nothing to do with your problem exactly. You know,

591
00:32:39,080 --> 00:32:42,440
Speaker 1: they're being paid there to keep the people who are

592
00:32:42,480 --> 00:32:45,520
Speaker 1: causing your problem from having to deal with you directly.

593
00:32:46,040 --> 00:32:50,640
Speaker 1: That's what they are. They're infantry being thrown into the

594
00:32:50,680 --> 00:32:51,320
Speaker 1: front lines.

595
00:32:52,840 --> 00:32:55,000
Speaker 4: So I feel like there's some kind of thing matching

596
00:32:55,120 --> 00:32:58,520
Speaker 4: up there with the census and allocating how many fighters

597
00:32:58,560 --> 00:32:58,960
Speaker 4: there are.

598
00:32:59,320 --> 00:33:02,560
Speaker 1: Oh gosh, yeah, I know. Well that's a.

599
00:33:04,600 --> 00:33:04,880
Speaker 4: Look.

600
00:33:04,920 --> 00:33:07,440
Speaker 1: I'm not saying anything about my personal opinion of Comcast.

601
00:33:07,520 --> 00:33:11,840
Speaker 1: I'm just saying the results of of what has happened, right. Yeah,

602
00:33:11,920 --> 00:33:15,200
Speaker 1: So it's true you have to be human. The people

603
00:33:15,240 --> 00:33:17,640
Speaker 1: asking these questions are not out to get you. They

604
00:33:17,640 --> 00:33:21,640
Speaker 1: don't want to ruin your life. By April first, April

605
00:33:21,640 --> 00:33:25,440
Speaker 1: Fool's Day, the census day, is observed nationwide.

606
00:33:25,760 --> 00:33:28,960
Speaker 4: How crazy is that? Yeah, on April Fool's Day is

607
00:33:28,960 --> 00:33:30,400
Speaker 4: when the census is observed.

608
00:33:31,120 --> 00:33:34,280
Speaker 1: Well, this is the This is like the milestone date

609
00:33:34,280 --> 00:33:37,680
Speaker 1: where every home should have received an invitation to participate

610
00:33:37,720 --> 00:33:41,560
Speaker 1: in the census. And like every census before it, to

611
00:33:41,600 --> 00:33:44,280
Speaker 1: the points we made earlier, the twenty twenty census is

612
00:33:44,320 --> 00:33:45,360
Speaker 1: not going to be perfect.

613
00:33:45,640 --> 00:33:47,479
Speaker 2: You know, Ben, when you call it an invitation, it

614
00:33:47,480 --> 00:33:50,480
Speaker 2: does sound a little more fun. It's like getting invited

615
00:33:50,480 --> 00:33:53,920
Speaker 2: to a party or something. The census invitation makes you

616
00:33:53,960 --> 00:33:56,760
Speaker 2: feel special. Yeah, no, it's true. And this one in

617
00:33:56,800 --> 00:33:59,600
Speaker 2: particular has got some kind.

618
00:33:59,440 --> 00:34:04,040
Speaker 3: Of sticky, sticky wickets wrapped up in it. Then it's true.

619
00:34:05,120 --> 00:34:09,280
Speaker 1: We know already going in that like every other census,

620
00:34:09,440 --> 00:34:12,280
Speaker 1: not everyone's going to be counted for one reason or another.

621
00:34:12,400 --> 00:34:15,560
Speaker 1: In the US, there's a very large population in people

622
00:34:15,600 --> 00:34:18,280
Speaker 1: who live pretty much off the grid, you know, folks

623
00:34:18,320 --> 00:34:22,200
Speaker 1: who go from and I'm just pulling examples here, I'm

624
00:34:22,239 --> 00:34:24,719
Speaker 1: not stereotyping win but like folks who go from one

625
00:34:24,800 --> 00:34:29,239
Speaker 1: rainbow gathering to another, or one burning Man kind of

626
00:34:29,239 --> 00:34:33,400
Speaker 1: event to another, and live maybe in a vehicle, yeah,

627
00:34:33,520 --> 00:34:37,120
Speaker 1: or live in a campsite. They're probably they have a

628
00:34:37,200 --> 00:34:39,240
Speaker 1: very high chance of being missed by the census.

629
00:34:39,239 --> 00:34:41,840
Speaker 4: Someone who's living in a hotel for an extended period

630
00:34:41,840 --> 00:34:44,600
Speaker 4: of time. We're moving around in hotels.

631
00:34:45,000 --> 00:34:46,680
Speaker 3: I don't know if you've ever been to a fish concert,

632
00:34:46,760 --> 00:34:48,399
Speaker 3: but there's a lot of people that go to those,

633
00:34:48,520 --> 00:34:51,920
Speaker 3: So assuming many of those have not been counted.

634
00:34:51,640 --> 00:34:54,160
Speaker 4: A ton of people could just be at fish concerts

635
00:34:54,200 --> 00:34:57,720
Speaker 4: perpetually while the census arrives at their place of residence wherever.

636
00:34:57,840 --> 00:35:02,759
Speaker 1: Maybe here's my here's my pitch for a for a

637
00:35:02,840 --> 00:35:07,440
Speaker 1: new Netflix mini series. It's it's the crack team of

638
00:35:07,640 --> 00:35:11,759
Speaker 1: Census Bureau specialists who have to find those people at

639
00:35:11,760 --> 00:35:13,120
Speaker 1: fish concerts.

640
00:35:14,239 --> 00:35:17,280
Speaker 4: Tracking them down following fish trying to get the census questions.

641
00:35:17,360 --> 00:35:19,520
Speaker 1: Yeah, we'll do it kind of like the wire with

642
00:35:19,600 --> 00:35:22,319
Speaker 1: this gritty noir thing and we'll but we'll invent our

643
00:35:22,360 --> 00:35:23,359
Speaker 1: own slang for it.

644
00:35:23,480 --> 00:35:24,160
Speaker 4: Oh that's great.

645
00:35:24,200 --> 00:35:27,520
Speaker 1: So it's like, you know, people like you have to

646
00:35:27,520 --> 00:35:32,320
Speaker 1: be in n squad if you're either a problematic brilliant veteran,

647
00:35:32,960 --> 00:35:36,319
Speaker 1: or you've been busted down in the organization because of

648
00:35:36,360 --> 00:35:38,960
Speaker 1: some slight and they're like, oh, we're gonna send you

649
00:35:39,000 --> 00:35:40,200
Speaker 1: off to count fishheads.

650
00:35:40,480 --> 00:35:44,319
Speaker 4: That's really great. Iris Elba is running the office there.

651
00:35:45,160 --> 00:35:47,240
Speaker 1: Cool, Yeah, I can let them keep the British accent

652
00:35:47,280 --> 00:35:48,240
Speaker 1: too for some reason.

653
00:35:50,400 --> 00:35:54,120
Speaker 4: Oh, then it becomes really sinister. Then it's like it's

654
00:35:54,120 --> 00:35:58,440
Speaker 4: somehow great Britain infiltrating and trying to gather intel, like.

655
00:35:58,400 --> 00:35:59,960
Speaker 3: You're always a step ahead, mat I love that.

656
00:36:00,719 --> 00:36:05,440
Speaker 1: And then we could have what was that monarchical couple

657
00:36:05,560 --> 00:36:08,720
Speaker 1: who moved Megan mark Arkle?

658
00:36:08,800 --> 00:36:13,080
Speaker 4: Yeah, and the Prince one of those guys.

659
00:36:13,280 --> 00:36:16,799
Speaker 1: Yeah, yeah, Harry or William got a fifty to fifty chance.

660
00:36:16,800 --> 00:36:19,919
Speaker 1: I get the I think it was Harry. Yeah. Maybe

661
00:36:19,960 --> 00:36:22,800
Speaker 1: they could have a cameo, you know, we could. We

662
00:36:23,160 --> 00:36:24,600
Speaker 1: could go a couple of different directions.

663
00:36:24,640 --> 00:36:28,080
Speaker 4: It's like a door opens at some point and Idrisilva

664
00:36:28,239 --> 00:36:32,359
Speaker 4: is like what and it's the Prince and he's like, do.

665
00:36:32,320 --> 00:36:35,680
Speaker 3: You have the data?

666
00:36:36,640 --> 00:36:42,120
Speaker 1: We need to know how many free white males are sixteen? Okay,

667
00:36:42,160 --> 00:36:46,319
Speaker 1: and then he says, your Highness, your Princeness, we don't

668
00:36:46,400 --> 00:36:47,960
Speaker 1: use those questions anymore.

669
00:36:48,440 --> 00:36:50,520
Speaker 4: Oh my gosh, and all goes back to Brexit. They're

670
00:36:50,520 --> 00:36:53,680
Speaker 4: trying to gather as many people of British descent back

671
00:36:53,760 --> 00:36:54,400
Speaker 4: to the island.

672
00:36:54,560 --> 00:36:58,319
Speaker 1: It's Brexit. But but yeah, I mean jokes aside. The

673
00:36:58,360 --> 00:37:01,080
Speaker 1: census does sound like a great idea, not for nothing.

674
00:37:01,400 --> 00:37:06,880
Speaker 1: Have thousands of other civilizations and states used this in

675
00:37:06,920 --> 00:37:12,400
Speaker 1: the past. It makes sense. But like you said earlier, guys,

676
00:37:12,440 --> 00:37:16,320
Speaker 1: it's becoming increasingly controversial. As a matter of fact, people

677
00:37:16,400 --> 00:37:19,600
Speaker 1: on both sides of the political divide in this country

678
00:37:19,840 --> 00:37:24,799
Speaker 1: allege there is something rotten about the entire thing, especially

679
00:37:24,960 --> 00:37:29,719
Speaker 1: this year. Why we'll tell you afterword from our sponsor.

680
00:37:37,360 --> 00:37:39,239
Speaker 1: Here's where it gets crazy.

681
00:37:40,080 --> 00:37:44,759
Speaker 2: So the census has been the subject of not one,

682
00:37:44,960 --> 00:37:48,800
Speaker 2: but several conspiracies over its time in the United States,

683
00:37:49,120 --> 00:37:51,760
Speaker 2: but twenty twenty in particular.

684
00:37:51,840 --> 00:37:53,440
Speaker 3: Has really been a doozy.

685
00:37:53,440 --> 00:37:58,200
Speaker 2: It's seen the rise of a new phenomenon competing allegations.

686
00:37:58,239 --> 00:38:02,480
Speaker 2: So here's what it boils down to. Much of these

687
00:38:02,520 --> 00:38:07,880
Speaker 2: allegations hinge on the so called citizenship question, which is

688
00:38:07,960 --> 00:38:08,680
Speaker 2: just what it sounds like.

689
00:38:08,840 --> 00:38:11,720
Speaker 3: It's as simple as that. It's are you a citizen

690
00:38:11,960 --> 00:38:12,840
Speaker 3: of the United States?

691
00:38:13,360 --> 00:38:17,440
Speaker 2: Yeah, which seems on its face, like such an easy question.

692
00:38:17,600 --> 00:38:19,920
Speaker 3: Yes, no, but it's there's a lot wrapped up in

693
00:38:19,920 --> 00:38:21,680
Speaker 3: that question. There's a lot of nuance.

694
00:38:21,360 --> 00:38:24,160
Speaker 4: There, certainly is, especially when you take into account current

695
00:38:24,200 --> 00:38:27,280
Speaker 4: events over the past well, let's say five six years.

696
00:38:27,560 --> 00:38:30,600
Speaker 1: Sure, you know, for a lot of people who maybe

697
00:38:30,640 --> 00:38:35,160
Speaker 1: were just born in this country had citizenship, because the

698
00:38:35,160 --> 00:38:37,920
Speaker 1: way citizenship works in the US is not the way

699
00:38:37,960 --> 00:38:40,879
Speaker 1: it works everywhere in the world, correct, right, you, if

700
00:38:40,920 --> 00:38:44,919
Speaker 1: you are born on this soil in this country, then

701
00:38:44,960 --> 00:38:50,239
Speaker 1: you are automatically a citizen, no other concerns. Right. In

702
00:38:50,640 --> 00:38:53,960
Speaker 1: some other countries, that is not the case at all.

703
00:38:55,040 --> 00:38:59,040
Speaker 1: So in the US, for many people, it seems like yeah, okay, fine, yeah,

704
00:38:59,040 --> 00:39:01,000
Speaker 1: I'm a citizen. I mean, don't ask me to tell

705
00:39:01,000 --> 00:39:03,720
Speaker 1: you where my Social Security card is because who keeps

706
00:39:03,760 --> 00:39:07,160
Speaker 1: track of that thing? But yeah, yeah, yeah, I'm here.

707
00:39:07,320 --> 00:39:10,200
Speaker 1: But for many other people, you know, we have a

708
00:39:10,200 --> 00:39:12,520
Speaker 1: lot of students, right, we have a lot of people

709
00:39:12,520 --> 00:39:15,399
Speaker 1: who are in the course of getting their citizenship right

710
00:39:15,680 --> 00:39:19,120
Speaker 1: and are definitely here as legal residents. We also have

711
00:39:19,160 --> 00:39:22,680
Speaker 1: a lot of people who were maybe brought over into

712
00:39:22,719 --> 00:39:25,359
Speaker 1: this country to young age when they did not have

713
00:39:25,400 --> 00:39:28,560
Speaker 1: the ability to consent. But this is the only home

714
00:39:28,600 --> 00:39:33,480
Speaker 1: they've ever known. So even if they're not technically a citizen,

715
00:39:33,800 --> 00:39:37,640
Speaker 1: they are very much a resident. Where are they supposed

716
00:39:37,640 --> 00:39:38,600
Speaker 1: to go? You know what I mean?

717
00:39:38,840 --> 00:39:43,239
Speaker 4: Yeah, And it's difficult to differentiate. If you looked if

718
00:39:43,280 --> 00:39:46,080
Speaker 4: you took one person who was brought to the United

719
00:39:46,120 --> 00:39:49,600
Speaker 4: States when they were let's say two years old, one

720
00:39:49,640 --> 00:39:53,400
Speaker 4: year old, and then somebody who was born in the

721
00:39:53,480 --> 00:39:55,560
Speaker 4: United States, if you'd look at those two people and

722
00:39:55,640 --> 00:39:58,120
Speaker 4: just sit them in a room together, I have a

723
00:39:58,160 --> 00:40:01,680
Speaker 4: feeling it would be very, very difficul to figure out

724
00:40:02,480 --> 00:40:05,400
Speaker 4: which person was born in the United States unless you

725
00:40:05,480 --> 00:40:06,359
Speaker 4: directly ask them.

726
00:40:06,600 --> 00:40:10,080
Speaker 1: Yeah, that's the thing. So much of what binds people

727
00:40:10,320 --> 00:40:13,440
Speaker 1: historically are going to be things like family ties, not

728
00:40:13,480 --> 00:40:15,680
Speaker 1: that I mean maybe this sycom, but also just the

729
00:40:15,719 --> 00:40:21,240
Speaker 1: actual family ties of blood and sure relationship or religion

730
00:40:21,280 --> 00:40:25,560
Speaker 1: and things like that. What is one of the bold

731
00:40:25,640 --> 00:40:31,120
Speaker 1: things about the United States as a geopolitical proposition is

732
00:40:30,880 --> 00:40:37,480
Speaker 1: this concept of people being able to say we're American, US.

733
00:40:37,600 --> 00:40:40,359
Speaker 1: We're very different, but we're united by this one thing.

734
00:40:40,800 --> 00:40:44,400
Speaker 1: And it's interesting because we can see that evolved throughout history.

735
00:40:44,640 --> 00:40:48,879
Speaker 1: It used to be called instead of the United States,

736
00:40:49,280 --> 00:40:53,160
Speaker 1: these United States. It used to be more plural, and

737
00:40:53,200 --> 00:40:56,000
Speaker 1: people would be much more likely to describe themselves as

738
00:40:56,040 --> 00:40:59,600
Speaker 1: say a Virginian or a Floridian than they would to

739
00:40:59,800 --> 00:41:04,160
Speaker 1: say they were an American. Right, Yeah, and so this,

740
00:41:04,160 --> 00:41:07,440
Speaker 1: this concept of an idea means that people are bound

741
00:41:07,560 --> 00:41:11,440
Speaker 1: by culture. Now, so to your example of taking you know,

742
00:41:11,600 --> 00:41:14,680
Speaker 1: person name, person B, sing down and talking with them,

743
00:41:14,880 --> 00:41:18,600
Speaker 1: you know, they probably they they probably are very much

744
00:41:18,640 --> 00:41:21,040
Speaker 1: aware of the same things. They probably like a lot

745
00:41:21,080 --> 00:41:24,160
Speaker 1: of the same stuff, and they definitely participate in the

746
00:41:24,200 --> 00:41:28,080
Speaker 1: collective memory of big events, right, Like they're aware of

747
00:41:28,080 --> 00:41:30,480
Speaker 1: the moon landing even if they don't think it happened,

748
00:41:30,600 --> 00:41:33,960
Speaker 1: or they're aware of you know, nine to eleven, or

749
00:41:34,360 --> 00:41:36,759
Speaker 1: who won the Super Bowl last year? You know what

750
00:41:36,800 --> 00:41:37,120
Speaker 1: I mean?

751
00:41:37,200 --> 00:41:43,640
Speaker 4: Absolutely absolutely. So let's get to like why why the

752
00:41:44,160 --> 00:41:47,479
Speaker 4: political left and right are having such a hard time

753
00:41:47,520 --> 00:41:49,120
Speaker 4: and squabbling over all this stuff?

754
00:41:49,280 --> 00:41:52,359
Speaker 1: Yeah, okay, So in the months leading up to this year,

755
00:41:52,840 --> 00:41:56,160
Speaker 1: the census year, politicians I'm both left and the right

756
00:41:56,239 --> 00:42:01,960
Speaker 1: were fighting over the concept of adding any question pertaining

757
00:42:02,040 --> 00:42:06,520
Speaker 1: to citizenship because remember, you know, all that all that's

758
00:42:06,640 --> 00:42:10,040
Speaker 1: legally required when the census is that all people living

759
00:42:10,080 --> 00:42:13,640
Speaker 1: in the country answer to it, even if they aren't citizens,

760
00:42:13,760 --> 00:42:18,440
Speaker 1: your citizenship should not affect you when it comes to

761
00:42:18,520 --> 00:42:19,120
Speaker 1: the census.

762
00:42:19,400 --> 00:42:22,680
Speaker 2: Also, right, Like you could be a non citizen but

763
00:42:22,719 --> 00:42:26,880
Speaker 2: also be working under a visa or a temporary worker

764
00:42:26,880 --> 00:42:28,960
Speaker 2: a visa or something like that, and then you would

765
00:42:28,960 --> 00:42:32,799
Speaker 2: have to answer no. It's a very vague question that

766
00:42:32,840 --> 00:42:37,839
Speaker 2: without giving the proper context, could be very misleading and

767
00:42:38,280 --> 00:42:40,480
Speaker 2: perhaps used in a divisive manner.

768
00:42:40,800 --> 00:42:44,000
Speaker 1: I guess so, yeah, because what if you accidentally answer

769
00:42:44,040 --> 00:42:47,040
Speaker 1: inaccurately depending on we know what Framing is a huge

770
00:42:47,080 --> 00:42:49,319
Speaker 1: part of how questions are answered. But we also know

771
00:42:49,400 --> 00:42:52,360
Speaker 1: this country has a lot of silly requirements in general.

772
00:42:52,760 --> 00:42:55,560
Speaker 1: Like consider the fact that, as far as the I r.

773
00:42:55,680 --> 00:42:59,400
Speaker 1: S Is concerned, it doesn't matter if you sell illegal drugs,

774
00:43:00,160 --> 00:43:02,120
Speaker 1: just supposed to report it on your taxes.

775
00:43:03,640 --> 00:43:05,840
Speaker 4: Which is that weird? Yeah, it's very weird.

776
00:43:05,960 --> 00:43:11,120
Speaker 1: They're like, look, guys, it's just it's the banality of bureaucracy, right,

777
00:43:11,200 --> 00:43:14,480
Speaker 1: The idea that that one department of the federal government

778
00:43:14,480 --> 00:43:19,760
Speaker 1: would say, look, man, move all the heroin you want.

779
00:43:19,960 --> 00:43:23,239
Speaker 1: We're the accountant people, just tell us, tell us what

780
00:43:23,360 --> 00:43:25,800
Speaker 1: the profit is, because we want thirty to forty percent

781
00:43:25,840 --> 00:43:26,040
Speaker 1: of it.

782
00:43:26,400 --> 00:43:29,200
Speaker 4: Yeah. No, you're right, and you know, hopefully the IRS

783
00:43:29,280 --> 00:43:32,880
Speaker 4: doesn't come around and say, mister Decan, this is an

784
00:43:32,920 --> 00:43:36,279
Speaker 4: awful lot of one hundred dollars venmo charges or what

785
00:43:36,760 --> 00:43:38,960
Speaker 4: is ho what are you doing with this.

786
00:43:41,320 --> 00:43:41,960
Speaker 1: Applebee's.

787
00:43:42,120 --> 00:43:43,480
Speaker 4: It is Applebee's. I knew it.

788
00:43:43,480 --> 00:43:45,000
Speaker 3: It's all Appleby's gift cards.

789
00:43:45,000 --> 00:43:49,120
Speaker 2: Specifically, that is, Paul's life is just literally run by

790
00:43:49,160 --> 00:43:50,040
Speaker 2: Applebee's gut card.

791
00:43:50,320 --> 00:43:52,520
Speaker 4: I have to I know where to do an episode.

792
00:43:52,520 --> 00:43:55,720
Speaker 4: I'm so sorry listening what's up? In honor of Paul Decan,

793
00:43:55,920 --> 00:43:58,600
Speaker 4: My wife and son and I tried to go to

794
00:43:58,600 --> 00:44:01,160
Speaker 4: an Applebee's where we thought there was one, and we did.

795
00:44:01,200 --> 00:44:03,959
Speaker 4: We made the mistake of not checking Google Maps or anything.

796
00:44:03,960 --> 00:44:05,800
Speaker 4: We were like, Okay, we're gonna go to this particular

797
00:44:05,840 --> 00:44:08,520
Speaker 4: area that's kind of close to where we are. It

798
00:44:08,560 --> 00:44:12,040
Speaker 4: turned out it was a chilies and we had to

799
00:44:12,080 --> 00:44:12,960
Speaker 4: eat at the chilies.

800
00:44:13,040 --> 00:44:14,680
Speaker 2: You guys, I gotta tell you the man I was

801
00:44:14,719 --> 00:44:17,760
Speaker 2: picturing an even sadder result because I actually preferred chilies

802
00:44:17,760 --> 00:44:18,480
Speaker 2: over Applebee's.

803
00:44:18,480 --> 00:44:20,719
Speaker 3: I'm gonna put that out there. Paul's giving me the

804
00:44:20,760 --> 00:44:21,239
Speaker 3: stink guy.

805
00:44:21,280 --> 00:44:24,960
Speaker 2: But what if it had been like an abandoned, sad,

806
00:44:25,080 --> 00:44:29,680
Speaker 2: derelict Applebee's with tumble weeds rolling through just littered with

807
00:44:29,840 --> 00:44:34,280
Speaker 2: chicken wing bones and skeletons of small children.

808
00:44:34,360 --> 00:44:38,080
Speaker 4: I mean that would be I mean great, dope. I

809
00:44:38,080 --> 00:44:40,840
Speaker 4: would probably just start rolling And like when I say that,

810
00:44:40,880 --> 00:44:42,000
Speaker 4: I mean a camera.

811
00:44:42,320 --> 00:44:47,640
Speaker 6: Rolling around children bones, You mean turn on a camera.

812
00:44:50,160 --> 00:44:52,960
Speaker 1: Yeah, sure, no, it'd be cool. You're an urban explorer,

813
00:44:53,000 --> 00:44:53,719
Speaker 1: you'd be into that.

814
00:44:53,880 --> 00:44:56,239
Speaker 4: Yeah, man, I mean candy flipping at an Applebee's has

815
00:44:56,239 --> 00:44:59,840
Speaker 4: always been a dream of mine. No, no, but no,

816
00:45:00,000 --> 00:45:03,880
Speaker 4: but seriously, we turned out it wasn't Applebee's and it

817
00:45:03,920 --> 00:45:04,960
Speaker 4: got turned it had.

818
00:45:06,040 --> 00:45:11,720
Speaker 1: Uh yes, see shifting demographics right and trends.

819
00:45:11,920 --> 00:45:12,439
Speaker 4: There you go.

820
00:45:12,800 --> 00:45:16,440
Speaker 1: So maybe Applebee's are proliferating somewhere else.

821
00:45:16,960 --> 00:45:21,160
Speaker 4: Oh man, well we fulfilled our Applebee's mentioned. Thanks again

822
00:45:21,280 --> 00:45:23,680
Speaker 4: to Corporate for sponsoring the show.

823
00:45:23,600 --> 00:45:29,120
Speaker 1: And Global Illumination Unlimited, of course, the only, the only

824
00:45:30,040 --> 00:45:34,000
Speaker 1: force with the power and the pull to make endless

825
00:45:34,080 --> 00:45:37,120
Speaker 1: apps affordable for the common man. So true.

826
00:45:37,200 --> 00:45:39,840
Speaker 4: And kids eat free like way more than you'd think.

827
00:45:41,000 --> 00:45:45,920
Speaker 1: So so yes, the census. It is weird because ostensibly

828
00:45:45,960 --> 00:45:49,759
Speaker 1: this seems like we can understand how people might think

829
00:45:49,800 --> 00:45:51,920
Speaker 1: this would be a small thing to fight over. But

830
00:45:51,920 --> 00:45:54,560
Speaker 1: then we can also understand why people might think it's

831
00:45:54,600 --> 00:45:57,799
Speaker 1: a there's something else at play well, and for.

832
00:45:57,840 --> 00:46:01,080
Speaker 4: The individual it could be dying. There could be dire.

833
00:46:01,160 --> 00:46:06,319
Speaker 1: Right exactly, And there is a ton of misinformation and

834
00:46:06,400 --> 00:46:12,080
Speaker 1: disinformation floating around this issue in general. Here's the gist,

835
00:46:12,120 --> 00:46:16,600
Speaker 1: the lay of the land. The forces on what we

836
00:46:16,640 --> 00:46:21,759
Speaker 1: would call the political right of the US generally want

837
00:46:21,800 --> 00:46:25,840
Speaker 1: a citizenship question, and the forces on the political left

838
00:46:26,200 --> 00:46:30,600
Speaker 1: generally don't. This went all the way to the Supreme Court.

839
00:46:31,120 --> 00:46:34,640
Speaker 1: The Supreme Court agreed. I don't know if you'd say

840
00:46:34,640 --> 00:46:36,720
Speaker 1: they agreed with the left or the right. They agreed

841
00:46:36,760 --> 00:46:41,040
Speaker 1: with the Constitution and they ruled against the citizenship question

842
00:46:41,120 --> 00:46:45,279
Speaker 1: in June of twenty nineteen. At the time, the presidential

843
00:46:45,320 --> 00:46:48,799
Speaker 1: administration balked at this ruling and sought to keep it in.

844
00:46:49,239 --> 00:46:51,520
Speaker 1: They were kicking around the idea of doing an executive

845
00:46:51,640 --> 00:46:56,720
Speaker 1: order for this, but ultimately did not. Here's the idea.

846
00:46:57,360 --> 00:47:01,920
Speaker 1: The political left say that this is a cynical, ilicit

847
00:47:02,040 --> 00:47:05,440
Speaker 1: move by the political right and that it's not on

848
00:47:05,520 --> 00:47:07,160
Speaker 1: the up and up. They say, the whole reason this

849
00:47:07,239 --> 00:47:10,160
Speaker 1: is happening is because the right is conspiring to gain

850
00:47:10,320 --> 00:47:13,960
Speaker 1: more congressional power. We have a quote from Reuter's that

851
00:47:13,960 --> 00:47:15,120
Speaker 1: breaks it down pretty well.

852
00:47:15,320 --> 00:47:18,919
Speaker 4: States with high numbers of immigrant and Latino residents, led

853
00:47:18,960 --> 00:47:22,560
Speaker 4: by New York State, sued to block the citizenship question.

854
00:47:22,920 --> 00:47:25,960
Speaker 4: They said it would cause an undercount of their populations

855
00:47:26,000 --> 00:47:29,959
Speaker 4: and disproportionately hurt their regions by costing them US House

856
00:47:30,000 --> 00:47:33,800
Speaker 4: of Representative seats and millions of dollars in federal funding.

857
00:47:34,120 --> 00:47:38,279
Speaker 4: Immigrant advocacy groups said the government's plan aimed to discriminate

858
00:47:38,400 --> 00:47:40,200
Speaker 4: against non white immigrants.

859
00:47:40,640 --> 00:47:43,520
Speaker 1: So we'll dig into that in a second. Let's go

860
00:47:43,640 --> 00:47:46,880
Speaker 1: to the other side of the argument. This comes from

861
00:47:47,160 --> 00:47:51,359
Speaker 1: US Commerce Secretary Wilbur Ross, and it goes something like this.

862
00:47:52,000 --> 00:47:56,279
Speaker 1: Wilbert Ross argues that reinstating a citizenship question, which had

863
00:47:56,400 --> 00:48:00,799
Speaker 1: existed on smaller questionnaires sent to smaller subsets of the

864
00:48:00,840 --> 00:48:05,520
Speaker 1: population in the past, would produce better data on enforcement

865
00:48:05,600 --> 00:48:09,960
Speaker 1: of the Federal Voting Rights Act protecting the electoral power

866
00:48:10,040 --> 00:48:14,280
Speaker 1: of minorities. So on that side, they're saying, this will

867
00:48:14,560 --> 00:48:20,120
Speaker 1: give a better understanding of the of the population of

868
00:48:20,120 --> 00:48:22,400
Speaker 1: the US, and this will allow us to do a

869
00:48:22,400 --> 00:48:25,120
Speaker 1: better job with the Federal Voting Rights Act. And then

870
00:48:25,960 --> 00:48:28,560
Speaker 1: Ross also has what I would say is a fairly

871
00:48:28,600 --> 00:48:32,239
Speaker 1: weak argument, which is every that everybody else is doing

872
00:48:32,280 --> 00:48:34,560
Speaker 1: an argument and says, you know, plenty of other countries

873
00:48:34,600 --> 00:48:38,160
Speaker 1: ask this question on their census, which is true, but

874
00:48:38,280 --> 00:48:42,120
Speaker 1: it doesn't it doesn't necessity. The problem is it doesn't necessitate.

875
00:48:42,560 --> 00:48:45,319
Speaker 1: What one country does does not mandate the actions of

876
00:48:45,360 --> 00:48:46,200
Speaker 1: another country.

877
00:48:46,200 --> 00:48:48,120
Speaker 2: It's like when your mom always asked you, just because

878
00:48:48,160 --> 00:48:51,879
Speaker 2: your friends put a citizenship question on their census, are

879
00:48:51,880 --> 00:48:52,839
Speaker 2: you going to do it too?

880
00:48:53,600 --> 00:48:53,759
Speaker 1: Well.

881
00:48:53,800 --> 00:48:57,759
Speaker 4: It is an interesting point there, and it's causing me

882
00:48:57,840 --> 00:49:02,239
Speaker 4: a bit of a having an issue with this internally.

883
00:49:02,280 --> 00:49:04,279
Speaker 2: As we're talking about I could see what you're saying

884
00:49:04,600 --> 00:49:05,520
Speaker 2: and get what you're getting at.

885
00:49:05,560 --> 00:49:09,760
Speaker 4: I think, well, just where depending on where you're lying

886
00:49:09,760 --> 00:49:12,200
Speaker 4: and what you're arguing. It does feel like if you

887
00:49:12,320 --> 00:49:16,560
Speaker 4: did have better data on the voters and people who

888
00:49:16,600 --> 00:49:21,240
Speaker 4: are being affected by voter suppression, then you could help

889
00:49:21,560 --> 00:49:24,760
Speaker 4: to fix that problem, but you could also identify people

890
00:49:25,120 --> 00:49:29,839
Speaker 4: to suppress votes simultaneously. It's that weird thing of by

891
00:49:29,920 --> 00:49:33,560
Speaker 4: observing right, you're going to change the whole thing by

892
00:49:33,600 --> 00:49:34,960
Speaker 4: taking the census alone.

893
00:49:35,000 --> 00:49:39,920
Speaker 1: It's also it's technology. It's dual purpose technology. It's a

894
00:49:40,000 --> 00:49:42,640
Speaker 1: question of trust and good faith. You know you're building

895
00:49:43,160 --> 00:49:47,960
Speaker 1: the same kind of centrifuges you use to create nuclear

896
00:49:48,040 --> 00:49:49,720
Speaker 1: power can create nuclear weapons.

897
00:49:49,880 --> 00:49:52,480
Speaker 2: Let's be real, though, I mean, the backlash and the

898
00:49:53,440 --> 00:49:58,520
Speaker 2: controversial reality controversiality of this is largely because of the

899
00:49:58,560 --> 00:50:04,160
Speaker 2: state of politics right now. It seems divisive because people

900
00:50:04,239 --> 00:50:09,160
Speaker 2: are interpreting it as a direct, I think request from

901
00:50:09,239 --> 00:50:13,480
Speaker 2: our current president, who has made some pretty divisive statements

902
00:50:13,520 --> 00:50:16,280
Speaker 2: about how he feels about immigration and how he feels,

903
00:50:16,400 --> 00:50:19,319
Speaker 2: you know, the quality of human that he considers to

904
00:50:19,400 --> 00:50:22,240
Speaker 2: be coming over to our country.

905
00:50:22,600 --> 00:50:25,399
Speaker 3: Right. Yeah, I'm no judgment either way.

906
00:50:25,400 --> 00:50:27,319
Speaker 2: I'm just saying he has made these comments, and I

907
00:50:27,360 --> 00:50:29,640
Speaker 2: think a lot of people on the left especially are

908
00:50:29,680 --> 00:50:32,759
Speaker 2: associating this question with let's figure out how to root

909
00:50:32,800 --> 00:50:34,239
Speaker 2: out illegals.

910
00:50:34,440 --> 00:50:37,960
Speaker 1: Absolutely, I mean that's absolutely one of the concerns, right

911
00:50:38,600 --> 00:50:42,680
Speaker 1: because we know that the immigration policies have been a

912
00:50:42,760 --> 00:50:47,680
Speaker 1: hot button topic for this administration since day one. Now

913
00:50:47,880 --> 00:50:51,840
Speaker 1: want to point out that there were people who didn't

914
00:50:52,080 --> 00:50:56,600
Speaker 1: agree with Secretary Ross. One group that did not agree

915
00:50:56,600 --> 00:51:00,680
Speaker 1: with him was the actual Census Bureau. They found that

916
00:51:00,840 --> 00:51:04,399
Speaker 1: a question about citizenship would lead to less accurate rather

917
00:51:04,480 --> 00:51:08,240
Speaker 1: the more accurate reporting, because their estimates found that something

918
00:51:08,360 --> 00:51:12,000
Speaker 1: like six point five million people would not respond to

919
00:51:12,040 --> 00:51:14,399
Speaker 1: the census if they knew this question was on there,

920
00:51:14,760 --> 00:51:18,120
Speaker 1: massively skewing data for the same reason because they're thinking,

921
00:51:18,440 --> 00:51:22,480
Speaker 1: given the activity of ICE and other law enforcement agencies,

922
00:51:23,400 --> 00:51:27,360
Speaker 1: am I just raising my hand to say, discriminate against

923
00:51:27,360 --> 00:51:30,600
Speaker 1: me or kick me out of the country, or you know,

924
00:51:30,680 --> 00:51:33,440
Speaker 1: like what happens? What happens if you're here on a

925
00:51:33,480 --> 00:51:37,120
Speaker 1: student visa, which is completely above the board and legal

926
00:51:37,400 --> 00:51:40,640
Speaker 1: by all the laws in the land, and you say, okay,

927
00:51:40,840 --> 00:51:43,520
Speaker 1: I am not a citizen, I'm a student here on

928
00:51:43,560 --> 00:51:47,600
Speaker 1: a visa. I'm studying neuroscience or sports medicine or art

929
00:51:47,640 --> 00:51:51,160
Speaker 1: history or something like that, right, or computer engineering, whatever

930
00:51:51,160 --> 00:51:57,040
Speaker 1: you and then later shortly thereafter, the administration changes some

931
00:51:57,320 --> 00:52:01,200
Speaker 1: law which means your student visa is null and void,

932
00:52:01,840 --> 00:52:05,960
Speaker 1: and you were planning to be here to finish school,

933
00:52:06,280 --> 00:52:08,279
Speaker 1: but now you're being deported, you know what I mean?

934
00:52:08,520 --> 00:52:11,040
Speaker 1: That's like, that's completely hypothetical. There are a lot of

935
00:52:11,080 --> 00:52:13,840
Speaker 1: ifs involved there. There's a lot of ifs then, but

936
00:52:14,320 --> 00:52:16,200
Speaker 1: you can understand where people are coming from.

937
00:52:16,680 --> 00:52:19,320
Speaker 4: The other thing here, I'm still going down a mildly

938
00:52:19,360 --> 00:52:23,560
Speaker 4: conspiratorial route. Is that Let's say you did have something

939
00:52:23,600 --> 00:52:26,799
Speaker 4: like six point five million people not responding to the

940
00:52:26,880 --> 00:52:31,359
Speaker 4: census because of the citizen ship question. If you did

941
00:52:31,400 --> 00:52:33,919
Speaker 4: get it on there, you could just take that six

942
00:52:33,960 --> 00:52:37,719
Speaker 4: point five million people or households, you know, because you

943
00:52:37,719 --> 00:52:40,080
Speaker 4: would know the address where the census was sent to

944
00:52:40,480 --> 00:52:42,359
Speaker 4: and you knew you would know that it was not

945
00:52:42,440 --> 00:52:48,040
Speaker 4: responded to. You could use that as identifying potentially either

946
00:52:48,760 --> 00:52:52,040
Speaker 4: you know, people who are staining in protest, sure, people

947
00:52:52,120 --> 00:52:55,200
Speaker 4: who are actually perhaps have an issue.

948
00:52:55,239 --> 00:52:57,320
Speaker 2: That's right, And I mean, you know, if you think about,

949
00:52:57,360 --> 00:53:00,719
Speaker 2: like we talked about, the sort of antiquate nature of

950
00:53:00,760 --> 00:53:02,880
Speaker 2: the let's not even call it technology. It's basically just

951
00:53:03,000 --> 00:53:06,640
Speaker 2: human beings and paper and the mail. It's barely I mean,

952
00:53:06,680 --> 00:53:08,279
Speaker 2: you know, there's obviously a web portal that you could

953
00:53:08,360 --> 00:53:11,759
Speaker 2: use to register, but it's such blunt instruments technology. It

954
00:53:11,760 --> 00:53:15,000
Speaker 2: doesn't seem like it's very precision targeted that you know,

955
00:53:15,719 --> 00:53:18,640
Speaker 2: you could be hard to glean that much specifics about

956
00:53:18,640 --> 00:53:21,400
Speaker 2: what you're talking about, but I guess you could. You

957
00:53:21,480 --> 00:53:24,840
Speaker 2: could to turn the screw a little bit and you know,

958
00:53:24,880 --> 00:53:30,880
Speaker 2: and and consider targeting people who did not participate and say, oh, instantly,

959
00:53:30,960 --> 00:53:34,000
Speaker 2: that means that they're here illegally, and then we can

960
00:53:34,040 --> 00:53:34,919
Speaker 2: send ICE to their.

961
00:53:34,840 --> 00:53:37,560
Speaker 4: Door to say, Homeland Security and ICE need to always

962
00:53:37,600 --> 00:53:39,000
Speaker 4: have a bigger budget the next year.

963
00:53:39,640 --> 00:53:43,680
Speaker 1: Right, Well, every that's the thing. Every government organization needs

964
00:53:43,719 --> 00:53:47,760
Speaker 1: a bigger budget every year. I think we've talked about

965
00:53:47,760 --> 00:53:50,920
Speaker 1: this in the past, right, just to reiterate the weird

966
00:53:50,960 --> 00:53:53,759
Speaker 1: thing about at least the US government and the way

967
00:53:53,800 --> 00:53:58,480
Speaker 1: budgets work. So regardless of budget cuts or where you're

968
00:53:58,760 --> 00:54:03,280
Speaker 1: whatever group you're naming, most US departments, from what we understand,

969
00:54:03,760 --> 00:54:06,200
Speaker 1: have to spend the entirety of their budget by the

970
00:54:06,280 --> 00:54:08,759
Speaker 1: end of the fiscal year because if they don't, then

971
00:54:08,800 --> 00:54:13,560
Speaker 1: their budget gets cut cut to like take the gap

972
00:54:13,600 --> 00:54:14,680
Speaker 1: away for the next year.

973
00:54:15,040 --> 00:54:17,160
Speaker 3: You can't roll it over like rollover minutes on AC

974
00:54:17,280 --> 00:54:17,440
Speaker 3: and C.

975
00:54:18,000 --> 00:54:18,960
Speaker 1: No, No, you can't.

976
00:54:18,960 --> 00:54:20,320
Speaker 4: Really, it's the whole point. If you didn't need that

977
00:54:20,400 --> 00:54:22,239
Speaker 4: much money, you're not gonna get it next year. If

978
00:54:22,280 --> 00:54:24,799
Speaker 4: you tough world, if you needed more money and you

979
00:54:24,880 --> 00:54:26,920
Speaker 4: had to spend every single time you had and we

980
00:54:27,000 --> 00:54:32,240
Speaker 4: really could have used another to twenty million, two billion.

981
00:54:32,320 --> 00:54:34,640
Speaker 1: Okay, I'm gonna I'm gonna tell you guys a secret.

982
00:54:34,680 --> 00:54:36,279
Speaker 1: I don't know if I ever mentioned this on there,

983
00:54:36,440 --> 00:54:38,680
Speaker 1: This is. This is an open secret. This is not

984
00:54:38,840 --> 00:54:42,080
Speaker 1: anything that's going to get anybody black bagger killed. This

985
00:54:42,160 --> 00:54:45,440
Speaker 1: is just kind of Joseph Heller Kurt Vonnegut level hilarious.

986
00:54:45,520 --> 00:54:49,319
Speaker 4: Public schools are are ultimately getting destroyed on purpose by

987
00:54:49,400 --> 00:54:50,120
Speaker 4: private industry.

988
00:54:50,200 --> 00:54:53,279
Speaker 1: Mom. Sorry, oh say mean that's true, Okay, but no, no, no.

989
00:54:53,480 --> 00:54:56,600
Speaker 1: There is a day, a single day in the year

990
00:54:58,719 --> 00:55:07,440
Speaker 1: where people in the military industry clamor to spend the

991
00:55:07,560 --> 00:55:11,360
Speaker 1: last of the budget they're in charge of. And the

992
00:55:11,480 --> 00:55:19,239
Speaker 1: day ends on at like midnight Pacific coast time, and

993
00:55:19,360 --> 00:55:24,320
Speaker 1: so this day is this day is famous in the industry.

994
00:55:24,360 --> 00:55:26,440
Speaker 1: It make no mistake, it very much is an industry.

995
00:55:26,640 --> 00:55:31,600
Speaker 1: Stay is famous in the industry such that people, very important,

996
00:55:31,719 --> 00:55:36,600
Speaker 1: high level people will just put aside a few hours

997
00:55:37,239 --> 00:55:39,920
Speaker 1: when it gets around like ten pm because they know

998
00:55:39,960 --> 00:55:42,680
Speaker 1: they're going to get calls and it's going to be

999
00:55:42,719 --> 00:55:45,000
Speaker 1: from their peers, and they see how they can move

1000
00:55:45,040 --> 00:55:47,600
Speaker 1: the money around because no one wants to get caught out.

1001
00:55:47,640 --> 00:55:50,680
Speaker 1: It's like a weird game of musical chairs.

1002
00:55:51,080 --> 00:55:53,960
Speaker 2: Yeah, you know what I mean, very expensive game of

1003
00:55:54,120 --> 00:55:58,000
Speaker 2: musical chairs, or a cake walk with a billion dollar cake.

1004
00:55:58,560 --> 00:56:03,080
Speaker 1: Very expensive chairs for sure. Yeah, So let's go back

1005
00:56:03,120 --> 00:56:06,040
Speaker 1: to this. So we already know that the financial situation's

1006
00:56:06,040 --> 00:56:10,280
Speaker 1: a little bit absurd. But back to the Supreme Court,

1007
00:56:10,600 --> 00:56:15,080
Speaker 1: we know that these this idea, the Census Bureau essentially

1008
00:56:15,120 --> 00:56:18,040
Speaker 1: says this could mean six point five million people go

1009
00:56:18,239 --> 00:56:22,920
Speaker 1: missing from the census. The courts also disagree with Ross's reasoning.

1010
00:56:23,840 --> 00:56:27,800
Speaker 1: Interestingly enough, for anybody who finds themselves being overly partisan,

1011
00:56:28,960 --> 00:56:32,440
Speaker 1: this was a ruling by Chief Justice John Roberts, who

1012
00:56:32,840 --> 00:56:36,000
Speaker 1: himself is a conservative judge. He's not going to be

1013
00:56:36,120 --> 00:56:39,879
Speaker 1: overly biased, at least not ostensibly so, just because an

1014
00:56:39,880 --> 00:56:44,000
Speaker 1: idea is coming from the conservative side. He ruled against

1015
00:56:44,000 --> 00:56:48,400
Speaker 1: this citizenship question, for liberal judges joined him. Justice has

1016
00:56:48,440 --> 00:56:52,120
Speaker 1: joined him. And then he also noted this is interesting

1017
00:56:52,239 --> 00:56:57,120
Speaker 1: in their decision. They know, you know what's weird, Wilbur,

1018
00:56:57,560 --> 00:57:01,400
Speaker 1: is that you have seemed determined to specifically add the

1019
00:57:01,440 --> 00:57:05,440
Speaker 1: citizenship question, like that has been your main thing since

1020
00:57:05,560 --> 00:57:09,480
Speaker 1: your first day at the Commerce Department. Implication being don't

1021
00:57:09,520 --> 00:57:11,640
Speaker 1: you have other stuff to do? Why is it just

1022
00:57:11,719 --> 00:57:15,040
Speaker 1: this one issue? Right? So it's common for maybe a

1023
00:57:15,080 --> 00:57:17,760
Speaker 1: local politician to run on one issue, let's fix the

1024
00:57:17,800 --> 00:57:21,080
Speaker 1: pothole on Fourth Street. But it's not common for a

1025
00:57:21,200 --> 00:57:24,120
Speaker 1: secretary of an entire or it shouldn't be common for

1026
00:57:24,160 --> 00:57:27,200
Speaker 1: a secretary of an entire department to do this, to

1027
00:57:27,320 --> 00:57:31,560
Speaker 1: biopically focus on this one thing. And that's when that's

1028
00:57:31,600 --> 00:57:35,000
Speaker 1: when a guy, that's when a guy named Thomas Hoefeller

1029
00:57:35,200 --> 00:57:38,400
Speaker 1: or Hoffler comes into play. He died in twenty eighteen.

1030
00:57:38,440 --> 00:57:42,240
Speaker 1: He was a Republican strategist and redistricting expert, a jerry

1031
00:57:42,360 --> 00:57:48,960
Speaker 1: manderer extraordinaire, and he was one of the biggest cheerleaders

1032
00:57:49,000 --> 00:57:53,160
Speaker 1: of adding the citizenship question to the census. He was

1033
00:57:53,200 --> 00:57:56,520
Speaker 1: instrumental in it even way back in twenty fifteen where

1034
00:57:56,520 --> 00:58:00,080
Speaker 1: he did a study and concluded that this would add

1035
00:58:00,200 --> 00:58:05,240
Speaker 1: this question would be quote and we're quoting him. We're

1036
00:58:05,320 --> 00:58:08,760
Speaker 1: not spending this. This is what this man said. He said,

1037
00:58:08,920 --> 00:58:11,640
Speaker 1: we need a citizenship question because it would be quote

1038
00:58:11,840 --> 00:58:17,360
Speaker 1: advantageous to Republicans and non Hispanic whites in redrawing electoral

1039
00:58:17,520 --> 00:58:21,840
Speaker 1: districts based on census data. So it appears that at

1040
00:58:21,920 --> 00:58:24,920
Speaker 1: least in one case, what the political left was saying

1041
00:58:24,960 --> 00:58:26,760
Speaker 1: when they said it was a grab for power and

1042
00:58:26,800 --> 00:58:30,120
Speaker 1: the House of Representatives, it appears backed up by at

1043
00:58:30,200 --> 00:58:34,800
Speaker 1: least one guy. The guy who was in charge of

1044
00:58:34,880 --> 00:58:40,400
Speaker 1: so many plans for dict for district design. The current

1045
00:58:40,440 --> 00:58:45,120
Speaker 1: administration dismissed this as a conspiracy theory, and the court,

1046
00:58:45,200 --> 00:58:48,680
Speaker 1: we should note while shooting down the citizenship question, they

1047
00:58:48,760 --> 00:58:52,520
Speaker 1: did not address the idea of the ultimate argument is

1048
00:58:52,600 --> 00:58:56,080
Speaker 1: minimizing the influence of non white residents or voters.

1049
00:58:56,000 --> 00:59:00,880
Speaker 4: Or maximizing of the white residents.

1050
00:59:01,000 --> 00:59:04,760
Speaker 1: Right, that's the argument. And it got cloudy because there

1051
00:59:04,840 --> 00:59:08,320
Speaker 1: was a ton of misinformation. There were radio pundits who

1052
00:59:08,360 --> 00:59:14,840
Speaker 1: were alleging that the preceding presidential administration, the Obama administration,

1053
00:59:15,240 --> 00:59:19,560
Speaker 1: had removed the question from the census in twenty ten.

1054
00:59:20,440 --> 00:59:25,080
Speaker 1: That's at best misleading, right, Wait, but why was this.

1055
00:59:25,160 --> 00:59:28,440
Speaker 2: Such a big news item for this census but not

1056
00:59:28,560 --> 00:59:31,840
Speaker 2: then if it was removed as well? Like, how do

1057
00:59:31,840 --> 00:59:33,960
Speaker 2: we even find out about a question before it comes

1058
00:59:34,040 --> 00:59:36,680
Speaker 2: out if someone doesn't kind of want you to know about.

1059
00:59:36,400 --> 00:59:38,840
Speaker 1: It, right, Because there's a lot of people want it

1060
00:59:38,880 --> 00:59:40,680
Speaker 1: to be on there, and there's a lot of people

1061
00:59:40,720 --> 00:59:43,800
Speaker 1: who don't want it to be on there, and they're

1062
00:59:43,960 --> 00:59:48,520
Speaker 1: both alleging that the other party is conspiring to do stuff.

1063
00:59:49,680 --> 00:59:53,000
Speaker 1: So it's strange because again, to be clear, there have

1064
00:59:53,120 --> 00:59:59,200
Speaker 1: been citizenship questions before I think from eighteen ninety through

1065
00:59:59,280 --> 01:00:03,880
Speaker 1: nineteen fifty, according to the Census Bureau, there were questions

1066
01:00:04,200 --> 01:00:07,680
Speaker 1: or forms that ask citizenship information. And then there are

1067
01:00:07,720 --> 01:00:12,960
Speaker 1: other forms that are not the quote unquote big Census,

1068
01:00:12,960 --> 01:00:16,520
Speaker 1: but they're smaller versions of it, and they've asked questions too.

1069
01:00:16,600 --> 01:00:20,840
Speaker 1: But this thing hasn't really been around for a long time.

1070
01:00:21,600 --> 01:00:27,560
Speaker 1: At this point, the Trump administration has decided not to

1071
01:00:28,160 --> 01:00:32,080
Speaker 1: not to fight the decision any further. The census question

1072
01:00:32,360 --> 01:00:38,040
Speaker 1: has been confirmed, it's officially removed, but social media would

1073
01:00:38,040 --> 01:00:41,160
Speaker 1: have you believed differently. You'll see a ton of things

1074
01:00:41,720 --> 01:00:44,320
Speaker 1: coming from what seems to be both sides saying that

1075
01:00:44,400 --> 01:00:48,680
Speaker 1: the citizenship question is still on the census. That is

1076
01:00:48,960 --> 01:00:54,280
Speaker 1: just not true. It's not true. Is it the age

1077
01:00:54,280 --> 01:00:59,360
Speaker 1: of weaponized information? I would argue yes, it's also you know,

1078
01:01:00,040 --> 01:01:02,760
Speaker 1: a clear lack of critical thinking. But we have people

1079
01:01:02,800 --> 01:01:05,680
Speaker 1: like Tim Olson, the Associate director for Field Operations at

1080
01:01:05,680 --> 01:01:10,840
Speaker 1: the Census Bureau, on record multiple times saying, yeah, it's

1081
01:01:11,280 --> 01:01:15,760
Speaker 1: not happening, stop stop freaking out, guys. He didn't say

1082
01:01:15,760 --> 01:01:17,560
Speaker 1: stop freaking out. No, it's not happening.

1083
01:01:17,840 --> 01:01:21,640
Speaker 4: Yeah, exactly. If you if you are skeptical of what

1084
01:01:21,680 --> 01:01:24,440
Speaker 4: we're saying here. You know that because you've read it

1085
01:01:24,480 --> 01:01:26,960
Speaker 4: on social media, you think, oh, the sense the question

1086
01:01:27,040 --> 01:01:30,160
Speaker 4: is either definitely going to be there or whatever social

1087
01:01:30,200 --> 01:01:32,480
Speaker 4: post you happen to see. You can always go to

1088
01:01:32,880 --> 01:01:36,480
Speaker 4: Census ce N s U S dot gov. Through there

1089
01:01:36,680 --> 01:01:41,800
Speaker 4: you can find essentially what is a sample census survey

1090
01:01:42,920 --> 01:01:45,040
Speaker 4: that's going to come to your door if it hasn't already,

1091
01:01:45,080 --> 01:01:48,520
Speaker 4: if you're in Alaska or whenever you're hearing this, perhaps

1092
01:01:48,520 --> 01:01:50,320
Speaker 4: has come to your door already, but you could you

1093
01:01:50,360 --> 01:01:53,760
Speaker 4: can go online and find what it's going to look like.

1094
01:01:54,880 --> 01:01:57,959
Speaker 1: Yeah, yeah, and you know, one thing is for sure,

1095
01:01:59,040 --> 01:02:02,800
Speaker 1: citizenship question shin aside, this decade census is going to

1096
01:02:02,800 --> 01:02:05,600
Speaker 1: have a huge number of problems. We barely talked about

1097
01:02:05,640 --> 01:02:09,840
Speaker 1: the apocalyptic conspiracy. Oh I know, right here are just

1098
01:02:09,880 --> 01:02:12,480
Speaker 1: a few other things. Politicians are very worried that the

1099
01:02:12,520 --> 01:02:16,800
Speaker 1: bureau is underprepared and very worried that the technology being

1100
01:02:16,880 --> 01:02:20,200
Speaker 1: implemented won't work. And after you see the way that

1101
01:02:20,680 --> 01:02:27,600
Speaker 1: different electronic voting systems and strategies have gone to put

1102
01:02:27,800 --> 01:02:30,640
Speaker 1: over the years, when you see all the problems that

1103
01:02:30,680 --> 01:02:34,120
Speaker 1: happen with things like having an app for a primary

1104
01:02:34,200 --> 01:02:38,040
Speaker 1: and so on, Yeah, It's pretty easy to understand why

1105
01:02:38,080 --> 01:02:40,880
Speaker 1: there would be a lot of people saying this is

1106
01:02:41,680 --> 01:02:42,960
Speaker 1: a recipe for disaster.

1107
01:02:43,560 --> 01:02:45,520
Speaker 3: Are we going to do one on the Caucus de Bacas?

1108
01:02:46,040 --> 01:02:46,959
Speaker 3: That would be a lot of fun.

1109
01:02:47,400 --> 01:02:48,960
Speaker 1: Yeah. I wonder how it's going to shake out.

1110
01:02:49,040 --> 01:02:52,640
Speaker 4: You know, it's crazy. Honestly, what's happening? I haven't heard anything.

1111
01:02:52,800 --> 01:02:58,760
Speaker 1: Well, they are deciding South Carolina based on oiled up

1112
01:02:58,880 --> 01:03:01,880
Speaker 1: arm wrestling. Yeah, whoa?

1113
01:03:02,200 --> 01:03:04,400
Speaker 4: You really need to check my news app?

1114
01:03:04,480 --> 01:03:07,880
Speaker 1: More often it was it was Joe snake bite, Biden's idea.

1115
01:03:07,960 --> 01:03:10,120
Speaker 1: He goes by snake bite.

1116
01:03:10,240 --> 01:03:12,520
Speaker 2: Do you use the one that the Clinton Foundation designed,

1117
01:03:12,560 --> 01:03:14,680
Speaker 2: because that's that's the one you should be using.

1118
01:03:14,520 --> 01:03:18,960
Speaker 4: The Clinton Foundation news? Is it really?

1119
01:03:19,160 --> 01:03:22,280
Speaker 3: No? I don't know. Did I make this up? Wasn't

1120
01:03:22,280 --> 01:03:25,080
Speaker 3: there there was a connection with the Clinton's and the

1121
01:03:25,120 --> 01:03:25,680
Speaker 3: app that.

1122
01:03:27,120 --> 01:03:31,360
Speaker 4: I used, the Clinton Foundation email server? Yeah, that's an

1123
01:03:31,400 --> 01:03:31,919
Speaker 4: email app.

1124
01:03:32,000 --> 01:03:32,320
Speaker 1: I miss?

1125
01:03:32,400 --> 01:03:33,919
Speaker 3: You know what I missed some one with a self

1126
01:03:33,960 --> 01:03:34,959
Speaker 3: destruct button built?

1127
01:03:35,520 --> 01:03:39,200
Speaker 1: I miss? Uh. My primary news source for US News

1128
01:03:39,480 --> 01:03:41,520
Speaker 1: used to always be called a Swede when they were

1129
01:03:41,560 --> 01:03:44,920
Speaker 1: still open. They were just so much more well informed

1130
01:03:44,920 --> 01:03:47,080
Speaker 1: than I was. You know, you would just call a random,

1131
01:03:47,120 --> 01:03:48,920
Speaker 1: sweetish person. They would break stuff down.

1132
01:03:49,000 --> 01:03:51,400
Speaker 2: They're also good at saying it very gently, you know,

1133
01:03:51,480 --> 01:03:54,280
Speaker 2: in a way that doesn't like get your stress levels

1134
01:03:54,360 --> 01:03:54,720
Speaker 2: up right.

1135
01:03:54,920 --> 01:03:57,440
Speaker 1: M hmm, Yeah, I mean it's like, yeah, wow, I

1136
01:03:57,560 --> 01:04:01,480
Speaker 1: just heard about all these natural disasters that are happening

1137
01:04:01,880 --> 01:04:05,080
Speaker 1: in our country. Dear sweetish stranger, could you tell me more?

1138
01:04:05,400 --> 01:04:06,960
Speaker 1: And they, you know, they gently said, they were like,

1139
01:04:07,680 --> 01:04:08,600
Speaker 1: you also see.

1140
01:04:08,480 --> 01:04:11,600
Speaker 4: Thee Hey, hey, what we're talking about this?

1141
01:04:11,680 --> 01:04:11,919
Speaker 1: Yeah?

1142
01:04:11,920 --> 01:04:16,360
Speaker 4: Can we briefly just mention something that some people have

1143
01:04:16,400 --> 01:04:18,480
Speaker 4: written to us, and we've seen some reviews on the

1144
01:04:18,520 --> 01:04:23,920
Speaker 4: old Apple podcasts app about what was it political ads

1145
01:04:24,080 --> 01:04:25,320
Speaker 4: showing up in this show?

1146
01:04:25,520 --> 01:04:27,160
Speaker 1: Oh yeah, we did not have a say and that

1147
01:04:27,240 --> 01:04:29,480
Speaker 1: when we found out about those, we went and got

1148
01:04:29,480 --> 01:04:30,840
Speaker 1: them pulled post haste.

1149
01:04:30,960 --> 01:04:32,560
Speaker 4: Yes, we did this.

1150
01:04:32,560 --> 01:04:35,600
Speaker 1: This show is not This show is not a show

1151
01:04:35,760 --> 01:04:43,600
Speaker 1: for political advertisements. We think stupidity tends to be distributed unfortunately.

1152
01:04:43,920 --> 01:04:47,919
Speaker 2: Yeah, but as we also not, tis the season and

1153
01:04:47,400 --> 01:04:52,080
Speaker 2: a certain former New York mayor has really been pumping

1154
01:04:52,160 --> 01:04:56,400
Speaker 2: some some pony bones into the old ad machine, and

1155
01:04:56,520 --> 01:04:58,680
Speaker 2: you may have heard one or two from him by accident,

1156
01:04:58,760 --> 01:05:00,440
Speaker 2: but we we've taken care of that, and we, you know,

1157
01:05:00,680 --> 01:05:04,440
Speaker 2: to our boss's credits or our company's credits. We are

1158
01:05:04,880 --> 01:05:07,640
Speaker 2: almost always able to vet those. These just kind of

1159
01:05:07,640 --> 01:05:09,600
Speaker 2: snuck through. It was no one's fault.

1160
01:05:09,600 --> 01:05:12,320
Speaker 1: In particular, it's Bloomberg's fault. I'll say that.

1161
01:05:12,440 --> 01:05:14,800
Speaker 3: Well that's true. Yeah, that wasn't gonna name names, but

1162
01:05:15,480 --> 01:05:16,440
Speaker 3: it's all on the table.

1163
01:05:16,840 --> 01:05:19,960
Speaker 1: So I don't under Okay, I don't understand. Now I'm

1164
01:05:19,960 --> 01:05:22,280
Speaker 1: coming in hot because we just learned about this, and Paul,

1165
01:05:22,360 --> 01:05:24,720
Speaker 1: please just give us the second. I do not yield

1166
01:05:24,760 --> 01:05:25,160
Speaker 1: my time.

1167
01:05:25,720 --> 01:05:26,200
Speaker 3: I don't.

1168
01:05:26,760 --> 01:05:29,680
Speaker 1: I don't understand. How would you spend that much money

1169
01:05:29,920 --> 01:05:33,680
Speaker 1: on these ads when you have no chance being president? Like, statistically,

1170
01:05:33,760 --> 01:05:37,920
Speaker 1: there's not a model where it works out unless multiple

1171
01:05:38,480 --> 01:05:42,680
Speaker 1: other candidates, including the person who's currently in office, all

1172
01:05:42,800 --> 01:05:47,920
Speaker 1: somehow die. That's the only way for a cabinet position.

1173
01:05:48,000 --> 01:05:48,439
Speaker 3: Maybe better?

1174
01:05:48,480 --> 01:05:50,360
Speaker 1: Yeah, yeah, we talked off air. I said, you know,

1175
01:05:50,520 --> 01:05:53,200
Speaker 1: the only calculus that makes sense is if he's able

1176
01:05:53,240 --> 01:05:56,160
Speaker 1: to do a backroom sale of any votes he gets

1177
01:05:56,600 --> 01:05:59,680
Speaker 1: to broker that as a trade off for a cabinet

1178
01:05:59,680 --> 01:06:01,360
Speaker 1: position of some sort.

1179
01:06:01,160 --> 01:06:03,760
Speaker 3: Wait of votes. I don't understand.

1180
01:06:04,000 --> 01:06:07,240
Speaker 1: So like if you so, if he grew, for instance,

1181
01:06:07,400 --> 01:06:11,560
Speaker 1: a voting population and people who were pro Bloomberg voters.

1182
01:06:11,840 --> 01:06:15,120
Speaker 1: And then he you know, he definitely didn't have a

1183
01:06:15,160 --> 01:06:18,560
Speaker 1: shot at getting a DEM nomination or didn't run as

1184
01:06:18,560 --> 01:06:20,360
Speaker 1: an independent or anything.

1185
01:06:20,400 --> 01:06:20,840
Speaker 4: And then he.

1186
01:06:20,840 --> 01:06:23,040
Speaker 1: Said, I'm going to you know, I'm gonna throw all

1187
01:06:23,120 --> 01:06:26,680
Speaker 1: my votes to you know, insert here, the Richard Simmons,

1188
01:06:26,680 --> 01:06:31,120
Speaker 1: Harvey Kaitel, Fran Drescher who has a new show by

1189
01:06:31,160 --> 01:06:35,920
Speaker 1: the way, Frank Dresser. Uh huh, I've carried it towards

1190
01:06:36,160 --> 01:06:38,680
Speaker 1: for the longest time for the Nanny you know, rewatched

1191
01:06:38,720 --> 01:06:41,240
Speaker 1: it did not age well, did not age well.

1192
01:06:41,280 --> 01:06:42,160
Speaker 3: I can only imagine.

1193
01:06:42,360 --> 01:06:45,440
Speaker 1: But but you know, then he would say, then Bloomberg

1194
01:06:45,440 --> 01:06:48,120
Speaker 1: would say, hey, I've got you know, celebrity endorsements like

1195
01:06:48,200 --> 01:06:51,280
Speaker 1: Fran Dresher. I've got you know, like three or five

1196
01:06:51,320 --> 01:06:53,360
Speaker 1: percent of the vote or ten percent of the vote

1197
01:06:53,400 --> 01:06:55,760
Speaker 1: or whatever. I'll throw them to you if you make

1198
01:06:55,840 --> 01:06:58,720
Speaker 1: me secretary of Bloombergery or whatever.

1199
01:06:59,000 --> 01:07:02,640
Speaker 3: But again throw you mean, just endorse this candidate.

1200
01:07:02,800 --> 01:07:06,360
Speaker 1: Right, but then also take his massive war chest from

1201
01:07:06,400 --> 01:07:09,360
Speaker 1: his campaign and maybe start donating.

1202
01:07:09,480 --> 01:07:14,040
Speaker 4: Got it, you know, the email the email listen you've

1203
01:07:14,080 --> 01:07:17,200
Speaker 4: generated in the phone numbers on it's just all it's

1204
01:07:17,280 --> 01:07:19,880
Speaker 4: all monetizable. You just send it all out there. You know,

1205
01:07:20,160 --> 01:07:25,000
Speaker 4: I just really quickly, selfishly, and for no reason other

1206
01:07:25,080 --> 01:07:29,360
Speaker 4: than for my own delight, I very much want Bernie

1207
01:07:29,440 --> 01:07:32,400
Speaker 4: Sanders to become the next president of the United States

1208
01:07:32,440 --> 01:07:34,520
Speaker 4: because I want to watch SNL.

1209
01:07:34,680 --> 01:07:35,760
Speaker 1: I knew you were going to.

1210
01:07:38,000 --> 01:07:40,439
Speaker 4: For the for the foreseeable future in the next four

1211
01:07:40,520 --> 01:07:44,240
Speaker 4: years or however long it is with Larry David just

1212
01:07:44,280 --> 01:07:46,320
Speaker 4: on the screen all the time. So because it's like

1213
01:07:46,320 --> 01:07:48,600
Speaker 4: a whole New Curb season, which is out right.

1214
01:07:48,840 --> 01:07:50,960
Speaker 2: Yeah, yeah, you think he'd carry that torch the way

1215
01:07:51,000 --> 01:07:53,080
Speaker 2: that that Alec Baldwin has.

1216
01:07:53,600 --> 01:07:57,400
Speaker 1: Yeah, yeah, it's it's it's probably a contractual thing too. Also,

1217
01:07:57,880 --> 01:08:01,240
Speaker 1: you know they are actually related. They are.

1218
01:08:01,480 --> 01:08:02,400
Speaker 7: I didn't know I found that out.

1219
01:08:02,800 --> 01:08:05,000
Speaker 1: I didn't, but it's JR. Cousins.

1220
01:08:06,480 --> 01:08:07,000
Speaker 3: Yeah.

1221
01:08:07,040 --> 01:08:08,600
Speaker 4: Oh, you're blowing my mind right now.

1222
01:08:08,800 --> 01:08:13,160
Speaker 1: Well, I mean, that great impression didn't come out of nowhere, man.

1223
01:08:14,600 --> 01:08:18,240
Speaker 1: But this so this we're putting a light spent at

1224
01:08:18,240 --> 01:08:21,080
Speaker 1: the end because this is a serious issue. You know,

1225
01:08:21,200 --> 01:08:23,880
Speaker 1: we we tend to be pretty mindful when we report

1226
01:08:23,920 --> 01:08:27,640
Speaker 1: on things that are ongoing. This is beyond ongoing. This

1227
01:08:27,720 --> 01:08:32,080
Speaker 1: hasn't happened yet. Really, this is happening next month. Uh,

1228
01:08:32,120 --> 01:08:36,160
Speaker 1: the we can confirm officially that the Census Bureau says

1229
01:08:36,200 --> 01:08:41,040
Speaker 1: there will not be a citizenship question on the census. Uh.

1230
01:08:41,080 --> 01:08:44,160
Speaker 1: Your social media of choice. And this is just my

1231
01:08:44,200 --> 01:08:47,960
Speaker 1: opinion needs to do a much better job of fact

1232
01:08:48,120 --> 01:08:51,240
Speaker 1: checking and uh and stopping some of this kind of

1233
01:08:51,240 --> 01:08:57,120
Speaker 1: copy pasta that proliferates because it's misinforming people. And the

1234
01:08:57,160 --> 01:09:01,960
Speaker 1: only way that a crazy experiment like the United States works,

1235
01:09:02,040 --> 01:09:06,040
Speaker 1: and sorry, my patriotism is showing here is when the

1236
01:09:06,200 --> 01:09:10,920
Speaker 1: people are informed. And in a world of information warfare,

1237
01:09:11,400 --> 01:09:14,400
Speaker 1: which make no mistake, is in full swing and has been,

1238
01:09:14,920 --> 01:09:18,800
Speaker 1: then one of the most powerful resources of any republic

1239
01:09:19,360 --> 01:09:22,440
Speaker 1: is being crippled. And one of the most powerful resources

1240
01:09:22,479 --> 01:09:28,080
Speaker 1: of any republic historically has been an informed public. And

1241
01:09:28,439 --> 01:09:29,599
Speaker 1: how long will we have that?

1242
01:09:31,280 --> 01:09:33,360
Speaker 4: I didn't want to add anything to that. That was awesome.

1243
01:09:33,640 --> 01:09:36,000
Speaker 1: I don't know. I mean, it's not a rhetorical question.

1244
01:09:36,160 --> 01:09:38,960
Speaker 1: How long somebody in Vegas has taken bets on this?

1245
01:09:39,080 --> 01:09:40,479
Speaker 1: Right now? I guarantee it.

1246
01:09:40,640 --> 01:09:43,160
Speaker 4: We're due, right, I mean, just historically we're due.

1247
01:09:43,160 --> 01:09:45,719
Speaker 1: Oh yeah, we're in that two hundred deer mark. Yeah.

1248
01:09:45,840 --> 01:09:48,240
Speaker 1: Oh man, oh gosh, we're past it.

1249
01:09:48,439 --> 01:09:48,679
Speaker 3: Yeah.

1250
01:09:48,800 --> 01:09:50,240
Speaker 4: Nineteen seventy six right.

1251
01:09:50,120 --> 01:09:52,920
Speaker 1: Yep, yep, we're overdue.

1252
01:09:53,160 --> 01:09:55,320
Speaker 3: Oh well, so before.

1253
01:09:55,080 --> 01:09:58,880
Speaker 1: It all burns down, we would like to hear from you.

1254
01:09:58,960 --> 01:10:01,640
Speaker 1: We want to know yours. We spent a lot of

1255
01:10:01,680 --> 01:10:04,800
Speaker 1: time on the citizenship question, but we also want to

1256
01:10:04,800 --> 01:10:09,160
Speaker 1: hear your favorite census conspiracies. Maybe not even necessarily in

1257
01:10:09,479 --> 01:10:12,760
Speaker 1: this country, but or in this time, but in other

1258
01:10:12,800 --> 01:10:14,960
Speaker 1: times and in other parts of the world.

1259
01:10:15,280 --> 01:10:15,720
Speaker 3: Let us know.

1260
01:10:15,800 --> 01:10:17,559
Speaker 1: You can find us on Facebook. You can find us

1261
01:10:17,600 --> 01:10:19,760
Speaker 1: on Instagram. You can find us on Twitter. We love

1262
01:10:19,800 --> 01:10:23,519
Speaker 1: to recommend our Facebook group page. Here's where it gets crazy.

1263
01:10:23,680 --> 01:10:26,439
Speaker 2: You can also find us as individual human people of

1264
01:10:26,479 --> 01:10:29,439
Speaker 2: the Internet. I am at how Now Noel Brown exclusively

1265
01:10:29,520 --> 01:10:30,160
Speaker 2: on Instagram.

1266
01:10:31,120 --> 01:10:35,439
Speaker 4: Yeah, I am at Frederick Underscore, iHeart and you can

1267
01:10:35,479 --> 01:10:38,320
Speaker 4: find me on Instagram where I am at Ben Bollen.

1268
01:10:38,560 --> 01:10:43,400
Speaker 1: You can see some of my latest misadventures in other countries.

1269
01:10:43,560 --> 01:10:46,240
Speaker 1: I got successfully in and out of Japan again.

1270
01:10:46,360 --> 01:10:46,640
Speaker 4: That was.

1271
01:10:48,120 --> 01:10:49,599
Speaker 1: Someone unexpected but cool.

1272
01:10:50,040 --> 01:10:51,680
Speaker 4: Can you remember when we said we couldn't tell you

1273
01:10:51,680 --> 01:10:52,280
Speaker 4: about where it ben?

1274
01:10:52,400 --> 01:10:55,000
Speaker 1: Oh? Yeah, yeah, Well it's on Instagram if you want

1275
01:10:55,000 --> 01:10:56,360
Speaker 1: to find it at Ben bullying as.

1276
01:10:56,240 --> 01:10:57,600
Speaker 3: It does, and on your grid. I thought it was

1277
01:10:57,600 --> 01:10:58,320
Speaker 3: only on your story.

1278
01:10:58,479 --> 01:11:01,280
Speaker 1: It is, Yeah, yeah. It was my up, my first

1279
01:11:01,320 --> 01:11:04,000
Speaker 1: on stage appearance in Japan, which was not on a

1280
01:11:04,120 --> 01:11:06,559
Speaker 1: jumbo tron. I was on stage.

1281
01:11:06,720 --> 01:11:09,080
Speaker 3: Wait no, but I saw a video though, Yeah yeah.

1282
01:11:09,000 --> 01:11:11,400
Speaker 1: Yeah, yeah, yeah. I was on the video and then

1283
01:11:11,439 --> 01:11:13,439
Speaker 1: I was on the you were actually on stage. There

1284
01:11:13,479 --> 01:11:14,120
Speaker 1: was this whole thing.

1285
01:11:14,200 --> 01:11:18,080
Speaker 2: This was that Pearland the Sanrio Paradise Amusement Park.

1286
01:11:18,200 --> 01:11:20,200
Speaker 1: Yeah, it's a long story. It's if if you've ever

1287
01:11:20,240 --> 01:11:23,120
Speaker 1: been to Rock City and thought, you know this, whoever

1288
01:11:23,160 --> 01:11:26,360
Speaker 1: made this needed to do more acid than Semo, pearl

1289
01:11:26,479 --> 01:11:27,200
Speaker 1: Land is for you.

1290
01:11:27,400 --> 01:11:31,439
Speaker 4: Hey wait, I'm were you chosen like out of the audience.

1291
01:11:31,400 --> 01:11:33,960
Speaker 1: Or were you have a history of that? Yeah? Wow,

1292
01:11:34,160 --> 01:11:37,280
Speaker 1: well it's it's a story for another day.

1293
01:11:37,320 --> 01:11:40,360
Speaker 3: You're also a quintessentially American looking dude. I'm just gonna

1294
01:11:40,400 --> 01:11:40,960
Speaker 3: point that out.

1295
01:11:41,040 --> 01:11:43,439
Speaker 1: Yeah, there's that, you know. I think that had a

1296
01:11:43,520 --> 01:11:47,880
Speaker 1: fact that part to play. You can also if you

1297
01:11:48,439 --> 01:11:50,719
Speaker 1: don't like the social medis for one reason or another,

1298
01:11:50,760 --> 01:11:53,519
Speaker 1: you can also call us, or let's be honest, you

1299
01:11:53,520 --> 01:11:57,120
Speaker 1: can call Matt directly directly to which By the way,

1300
01:11:58,200 --> 01:12:01,599
Speaker 1: by the way, man, how many time time do nol

1301
01:12:01,680 --> 01:12:05,679
Speaker 1: and I have to volunteer to be on the voicemail ring.

1302
01:12:05,960 --> 01:12:08,000
Speaker 4: I send it to you guys. Se you all the

1303
01:12:08,080 --> 01:12:12,559
Speaker 4: log in, Yeah, I'll send it again.

1304
01:12:12,560 --> 01:12:14,200
Speaker 3: No, no, we're already done your piece, Matt.

1305
01:12:14,240 --> 01:12:16,720
Speaker 1: No, No, okay, I'll dig back and find it. Because you

1306
01:12:16,760 --> 01:12:21,599
Speaker 1: shouldn't be you should not be shouldering that cross alone.

1307
01:12:21,840 --> 01:12:25,719
Speaker 4: It's all good. I we okay putting this out there.

1308
01:12:26,000 --> 01:12:28,599
Speaker 4: Nolan and I while you were in Japan, did a

1309
01:12:28,640 --> 01:12:32,759
Speaker 4: listener voicemail episode. I only went through about fifty sixty

1310
01:12:32,920 --> 01:12:36,080
Speaker 4: voicemails to get the batch that we ended up using.

1311
01:12:36,160 --> 01:12:37,400
Speaker 3: Matt, that's still kind of a lot.

1312
01:12:37,520 --> 01:12:40,800
Speaker 4: Well, and we didn't use all of them. We certainly

1313
01:12:40,840 --> 01:12:43,080
Speaker 4: didn't use all fifty. We boiled down to like ten

1314
01:12:43,160 --> 01:12:48,400
Speaker 4: maybe in that time that day until right now, we've

1315
01:12:48,560 --> 01:12:51,040
Speaker 4: received another forty voicemails.

1316
01:12:51,120 --> 01:12:55,840
Speaker 2: So wow, I'm like, uh man, I wanted to say

1317
01:12:55,880 --> 01:12:59,120
Speaker 2: to it, and we typically do these when someone's out

1318
01:12:59,120 --> 01:13:01,160
Speaker 2: of town or something. But we had a really good

1319
01:13:01,160 --> 01:13:03,840
Speaker 2: time doing it and and found that it was a

1320
01:13:03,840 --> 01:13:06,000
Speaker 2: pretty great organic way to just like talk about a

1321
01:13:06,000 --> 01:13:09,000
Speaker 2: bunch of different stuff. And I personally had had a

1322
01:13:09,000 --> 01:13:10,880
Speaker 2: blast doing it, and I think I would put forth

1323
01:13:10,920 --> 01:13:12,479
Speaker 2: maybe we should do them a little more often, make

1324
01:13:12,479 --> 01:13:14,639
Speaker 2: them a little more regular to cut into that backlog,

1325
01:13:14,680 --> 01:13:15,639
Speaker 2: because there's a lot of good.

1326
01:13:15,880 --> 01:13:18,360
Speaker 1: Actually, I mean I'm on the research side because I

1327
01:13:18,400 --> 01:13:21,000
Speaker 1: think that I think that it's good to have some

1328
01:13:21,080 --> 01:13:23,280
Speaker 1: more substance stuff. But I see what you're saying about

1329
01:13:23,280 --> 01:13:25,280
Speaker 1: the listener mail, and I'm totally doubt.

1330
01:13:25,360 --> 01:13:28,280
Speaker 4: Yeah, yeah, I would love to do more, just because

1331
01:13:29,200 --> 01:13:31,880
Speaker 4: everyone who is calling in just has wonderful, really interesting

1332
01:13:31,920 --> 01:13:35,320
Speaker 4: things to say. Yeah, yeah, let's do that. Our number

1333
01:13:35,400 --> 01:13:40,920
Speaker 4: is one eight three three std WYTK. Give us a

1334
01:13:40,920 --> 01:13:43,000
Speaker 4: call three minutes. You got You can leave more than

1335
01:13:43,000 --> 01:13:46,240
Speaker 4: one if you wish, or you know, just leave one

1336
01:13:46,520 --> 01:13:48,400
Speaker 4: nice and short one. Those are the best because they

1337
01:13:48,520 --> 01:13:51,200
Speaker 4: work really well in an episode for us. All right, here,

1338
01:13:51,720 --> 01:13:53,120
Speaker 4: here we go. If you don't want to do that stuff,

1339
01:13:53,120 --> 01:13:55,160
Speaker 4: you can always send us a good old fashioned email.

1340
01:13:55,320 --> 01:14:16,559
Speaker 7: We are conspiracy at iHeartRadio dot com.

1341
01:14:16,760 --> 01:14:18,559
Speaker 4: Stuff they Don't Want you to Know is a production

1342
01:14:18,640 --> 01:14:22,200
Speaker 4: of iHeartRadio's How Stuff Works. For more podcasts from iHeartRadio,

1343
01:14:22,360 --> 01:14:25,679
Speaker 4: visit the iHeartRadio app, Apple Podcasts, or wherever you listen

1344
01:14:25,680 --> 01:14:30,800
Speaker 4: to your favorite shows.