WEBVTT - STDWYTK: Cheesepiracy!

0:00:00.240 --> 0:00:04.680
<v Speaker 1>From UFOs to psychic powers and government conspiracies. History is

0:00:04.760 --> 0:00:09.080
<v Speaker 1>riddled with unexplained events. You can turn back now or

0:00:09.200 --> 0:00:12.079
<v Speaker 1>learn the stuff they don't want you to know. A

0:00:12.200 --> 0:00:25.439
<v Speaker 1>production of I Heart Radio. Hello, and welcome back to

0:00:25.480 --> 0:00:27.720
<v Speaker 1>the show. My name is Matt, my name is Nol.

0:00:28.240 --> 0:00:31.120
<v Speaker 1>They called me Ben. We're joined as always with our

0:00:31.200 --> 0:00:36.000
<v Speaker 1>super producer Paul Mission Controlled deconds. Most importantly, you are you,

0:00:36.000 --> 0:00:39.200
<v Speaker 1>You are here, and that makes this the stuff they

0:00:39.320 --> 0:00:42.599
<v Speaker 1>don't want you to know. This is a follow up

0:00:42.800 --> 0:00:47.520
<v Speaker 1>from an earlier Listener Male segment where our fellow conspiracy

0:00:47.560 --> 0:00:52.640
<v Speaker 1>realist Ryan hipped us to a strange story about cheese

0:00:52.840 --> 0:00:56.040
<v Speaker 1>in the United States. We talked a little bit about

0:00:56.040 --> 0:00:58.880
<v Speaker 1>our favorite cheese commercials. I mean, some of that is

0:00:59.080 --> 0:01:02.680
<v Speaker 1>clearly a genre now. You know, it's sometimes called although

0:01:02.720 --> 0:01:05.520
<v Speaker 1>I hate the name food porn. Uh, we all know

0:01:05.600 --> 0:01:08.959
<v Speaker 1>what we're talking about. The slow motion clips of like

0:01:09.120 --> 0:01:11.520
<v Speaker 1>um no, you had a good example of a mozzarella

0:01:11.600 --> 0:01:15.479
<v Speaker 1>stick that's a classic being pulled. And then we had

0:01:15.600 --> 0:01:19.160
<v Speaker 1>you know, Taco bell Que, Sadilla's Casa Lupas, which play

0:01:19.200 --> 0:01:22.920
<v Speaker 1>a big role here and uh, this this kind of

0:01:22.920 --> 0:01:26.559
<v Speaker 1>commercial is almost a troupe nowadays. And in fact, there

0:01:26.600 --> 0:01:31.800
<v Speaker 1>are trendy restaurants of plenty in this country dedicated entirely

0:01:31.880 --> 0:01:34.800
<v Speaker 1>to one sort of cheesy food or another. Like, have

0:01:34.959 --> 0:01:37.800
<v Speaker 1>you guys ever been to a macaroni and cheese restaurant

0:01:37.880 --> 0:01:40.880
<v Speaker 1>or a place that only sells grilled cheese sandwiches. It's

0:01:40.959 --> 0:01:43.520
<v Speaker 1>very New York. Yeah, there's a place I went to.

0:01:43.600 --> 0:01:46.520
<v Speaker 1>I think it was in Oakland. It was called Homework

0:01:46.959 --> 0:01:49.480
<v Speaker 1>or something like that. I was meant to evoke feelings

0:01:49.520 --> 0:01:51.880
<v Speaker 1>of like childhood and like lunch room stuff, but it

0:01:51.920 --> 0:01:56.800
<v Speaker 1>was these bespoke kind of personal pan like little um,

0:01:56.840 --> 0:01:59.160
<v Speaker 1>you know, those dishes that are meant to be put

0:01:59.160 --> 0:02:01.680
<v Speaker 1>in the oven, kind of like bakeware or whatever, like

0:02:01.760 --> 0:02:04.920
<v Speaker 1>little Dutch oven kind of guys, with baccaroni and cheese

0:02:04.960 --> 0:02:07.560
<v Speaker 1>of all different flavors and varieties. And it was obviously

0:02:07.680 --> 0:02:10.200
<v Speaker 1>very overpriced for mac and cheese, but it was delicious. Um.

0:02:10.200 --> 0:02:11.920
<v Speaker 1>What about fawn Do you guys have been to a

0:02:11.960 --> 0:02:16.400
<v Speaker 1>fawn do restaurant? There's a chain here in Atlanta. I

0:02:16.440 --> 0:02:18.840
<v Speaker 1>think it's called the Melting Pot or something like that.

0:02:20.040 --> 0:02:22.919
<v Speaker 1>For me, it was all about the pirate ship. Oh,

0:02:23.040 --> 0:02:27.520
<v Speaker 1>Dante is down the hatch. You're Dante's guy, Yeah it

0:02:27.600 --> 0:02:33.840
<v Speaker 1>was so good. Uh yeah, we yea grilled cheese food trucks.

0:02:34.080 --> 0:02:36.920
<v Speaker 1>Do not sleep on those in Atlanta. There are a

0:02:36.960 --> 0:02:41.520
<v Speaker 1>ton of them, uh, grilled cheese food trucks. Guys. Oh

0:02:42.080 --> 0:02:46.000
<v Speaker 1>so we're we're both cheesy and fans of cheese. So

0:02:46.120 --> 0:02:48.680
<v Speaker 1>if you do not like this is the weirdest trigger

0:02:48.720 --> 0:02:51.280
<v Speaker 1>warning we've ever done. If you do not like puns,

0:02:51.680 --> 0:02:54.359
<v Speaker 1>this is not the episode for you, and you should

0:02:54.360 --> 0:02:58.840
<v Speaker 1>just go to the next episode. But but the thing is,

0:02:59.240 --> 0:03:00.960
<v Speaker 1>you know, a long time listens, you know, I have

0:03:01.000 --> 0:03:04.399
<v Speaker 1>a personal obsession with Casa Dilla's. They're basic, They're kind

0:03:04.400 --> 0:03:07.920
<v Speaker 1>of a grilled cheese, I would argue. Um. And in fact, folks,

0:03:07.960 --> 0:03:10.079
<v Speaker 1>all of us here at this stuff, they don't want

0:03:10.120 --> 0:03:13.440
<v Speaker 1>you to know. Team we all love cheese and we

0:03:13.480 --> 0:03:16.720
<v Speaker 1>all love talking about food, and we wanted to make

0:03:16.720 --> 0:03:19.560
<v Speaker 1>sure that was an accurate statement. So right before we

0:03:19.600 --> 0:03:22.320
<v Speaker 1>went to air, I went ahead and pained our super

0:03:22.400 --> 0:03:26.800
<v Speaker 1>producer code named Doc Holiday, and said, Matt and I

0:03:26.919 --> 0:03:29.799
<v Speaker 1>worked on how to write this question. Said, hey, Doc,

0:03:29.880 --> 0:03:32.720
<v Speaker 1>this is a work question. Do you like cheese? If so,

0:03:32.919 --> 0:03:37.360
<v Speaker 1>what kind? Doc says, I love cheese, but I don't

0:03:37.400 --> 0:03:39.640
<v Speaker 1>eat it as much as I would. And she kind

0:03:39.640 --> 0:03:42.680
<v Speaker 1>of alluded to, you know, health concerns, but she says,

0:03:43.440 --> 0:03:46.040
<v Speaker 1>I am literally the eating shredded cheese out of the

0:03:46.040 --> 0:03:49.360
<v Speaker 1>bag person. So we're gonna hit her with same we're

0:03:49.360 --> 0:03:53.560
<v Speaker 1>reading this on air, sorry, doc So. And you know

0:03:53.720 --> 0:03:57.720
<v Speaker 1>Paul michion Control look Horse, one of the one of

0:03:57.760 --> 0:04:02.200
<v Speaker 1>the prime uh champ beans of apple Bees loves cheese.

0:04:03.000 --> 0:04:05.120
<v Speaker 1>Matt Old, do you guys have a favorite cheese or

0:04:05.400 --> 0:04:07.640
<v Speaker 1>or you are? Yes? Old cheese kind of kind of

0:04:07.680 --> 0:04:10.200
<v Speaker 1>crewe Yeah, I mean, I guess all cheeses aren't really

0:04:10.240 --> 0:04:12.640
<v Speaker 1>created equal. I'll tell you what I think does get

0:04:12.680 --> 0:04:14.640
<v Speaker 1>slept on a little bit is just good old fashioned

0:04:14.720 --> 0:04:18.680
<v Speaker 1>American cheese product, you know, not even properly. It's like

0:04:18.800 --> 0:04:20.960
<v Speaker 1>I wouldn't like I like it on I'll tell you

0:04:20.960 --> 0:04:23.919
<v Speaker 1>what I like it on melted, because it melts beautifully

0:04:24.160 --> 0:04:28.760
<v Speaker 1>on like breakfast biscuit, like an egg and a sausage

0:04:28.800 --> 0:04:31.320
<v Speaker 1>on a biscuit, and you to slap that cheese product on.

0:04:31.360 --> 0:04:33.960
<v Speaker 1>We're gonna get into this um and it just melts

0:04:34.000 --> 0:04:35.880
<v Speaker 1>beautifully and it's its own thing and a lot of

0:04:35.920 --> 0:04:38.839
<v Speaker 1>like kind of cool breakfast divy type joints do that too.

0:04:38.839 --> 0:04:42.279
<v Speaker 1>But I am I like a I like a funky cheese,

0:04:42.680 --> 0:04:45.119
<v Speaker 1>you know, like a little bit of a foot smell

0:04:45.320 --> 0:04:52.080
<v Speaker 1>to cheese. Well, I don't like you ever had a raclette.

0:04:52.240 --> 0:04:54.280
<v Speaker 1>Raclette as a one. It's like a Swiss one that

0:04:54.320 --> 0:04:56.719
<v Speaker 1>also has its own kind of fondue situation where you

0:04:57.080 --> 0:04:59.840
<v Speaker 1>melted over meats and stuff on this special little grill

0:05:00.240 --> 0:05:01.840
<v Speaker 1>that's and you drink a lot of vodka with it,

0:05:01.880 --> 0:05:06.880
<v Speaker 1>which is a bonus. Man, that sounds good for my money, Yeah,

0:05:06.920 --> 0:05:10.719
<v Speaker 1>for my money. It's you combine let's say, a pecan

0:05:10.880 --> 0:05:15.159
<v Speaker 1>slash pecan with some kind of dried fruit and a

0:05:15.200 --> 0:05:19.360
<v Speaker 1>goat cheese. Mix those together with anything else. You're good

0:05:19.400 --> 0:05:24.640
<v Speaker 1>to go. Oh yeah, baby, yeah right. I'm I'm pretty

0:05:24.760 --> 0:05:29.480
<v Speaker 1>uh as you guys know, I am pretty non discriminatory

0:05:29.560 --> 0:05:33.520
<v Speaker 1>when it comes to food in general. Uh. Doc says

0:05:33.600 --> 0:05:38.279
<v Speaker 1>that her favorites are gorgonzola, blue cheese, and gouda. Uh

0:05:38.360 --> 0:05:42.200
<v Speaker 1>And when we were talking about this, you probably have

0:05:42.360 --> 0:05:46.520
<v Speaker 1>your own favorite cheese, conspiracy realist, just statistically, but we're

0:05:46.560 --> 0:05:52.120
<v Speaker 1>talking about this, we're talking about a national phenomenon. Cheese

0:05:52.160 --> 0:05:55.720
<v Speaker 1>is almost a staple. Lights. Cheese is a staple nowadays

0:05:55.800 --> 0:05:57.760
<v Speaker 1>in the US, and it can be weird if you

0:05:57.800 --> 0:06:02.000
<v Speaker 1>travel to other countries where cheese is not really a thing. Uh.

0:06:02.040 --> 0:06:05.039
<v Speaker 1>And you know you wouldn't see it very often in

0:06:05.080 --> 0:06:08.720
<v Speaker 1>a in your normal grocery store or market. You probably

0:06:08.760 --> 0:06:11.200
<v Speaker 1>only run into it if you went to like up

0:06:11.240 --> 0:06:15.280
<v Speaker 1>pizza restaurant or something of that nature. But in different

0:06:15.320 --> 0:06:18.400
<v Speaker 1>parts of the world that are historically not on board

0:06:18.440 --> 0:06:22.560
<v Speaker 1>with cheese, uh, it is still like a growing industry.

0:06:22.760 --> 0:06:28.480
<v Speaker 1>So here are the facts. Before we get into the conspiracy. Folks,

0:06:28.560 --> 0:06:32.560
<v Speaker 1>you have to realize cheese is, as the younger humans

0:06:32.560 --> 0:06:35.760
<v Speaker 1>would say, popular a f in the US unless you

0:06:35.800 --> 0:06:39.400
<v Speaker 1>are lactose intolerant, unless you're vegan or have some other

0:06:39.560 --> 0:06:44.479
<v Speaker 1>dietary restriction. Odds are you have consumed some cheese recently.

0:06:45.520 --> 0:06:49.039
<v Speaker 1>This wasn't always the case. We'll get to it. Um.

0:06:49.240 --> 0:06:54.040
<v Speaker 1>We are adventurous cheese eaters. But if you're the average American,

0:06:54.560 --> 0:06:56.520
<v Speaker 1>you know one of your favorite cheeses, or the one

0:06:56.560 --> 0:07:00.560
<v Speaker 1>you consume most often, is gonna be cheddar. And there

0:07:00.560 --> 0:07:03.040
<v Speaker 1>are health concerns that come into cheese consumption. But I

0:07:03.440 --> 0:07:06.359
<v Speaker 1>suggest we put those two as to the side for

0:07:06.400 --> 0:07:09.400
<v Speaker 1>a moment. Uh, to the side of our cheese plate,

0:07:09.640 --> 0:07:14.520
<v Speaker 1>and look at just the straight consumption, because this is

0:07:15.160 --> 0:07:19.920
<v Speaker 1>for cheesemakers. Uh, this sounds like a resounding success story.

0:07:20.440 --> 0:07:23.120
<v Speaker 1>So if you start back in the mid nineteen seventies,

0:07:23.200 --> 0:07:27.120
<v Speaker 1>let's say nineteen seventy five, you're an average American. Look

0:07:27.120 --> 0:07:30.080
<v Speaker 1>at you, so are we. We are all average Americans.

0:07:30.560 --> 0:07:35.520
<v Speaker 1>We consumed around fourteen pounds of cheese. That's in a year.

0:07:36.280 --> 0:07:38.640
<v Speaker 1>So in a year's time, you would eat fourteen pounds

0:07:38.640 --> 0:07:40.960
<v Speaker 1>of cheese. Now, if you went to a deli right now,

0:07:41.000 --> 0:07:43.360
<v Speaker 1>wherever you are, and you said, give me a pound

0:07:43.400 --> 0:07:48.600
<v Speaker 1>of cheese, that seems like a lot right now, those

0:07:49.720 --> 0:07:54.120
<v Speaker 1>it does. I think you typically order your cheese and

0:07:54.160 --> 0:07:56.680
<v Speaker 1>maybe a quarter pounds, right. I think a quarter pound

0:07:56.680 --> 0:07:59.040
<v Speaker 1>of cheese is respectable. And if you've got a family,

0:07:59.080 --> 0:08:00.760
<v Speaker 1>it's half a pound or pound. That's just the way

0:08:00.800 --> 0:08:08.160
<v Speaker 1>you gotta go. I am a family, family of one.

0:08:09.320 --> 0:08:12.920
<v Speaker 1>Look that's my this is my experience. So perhaps I'm wrong,

0:08:13.240 --> 0:08:17.520
<v Speaker 1>but you know, just imagine fourteen pounds. That seems like

0:08:17.520 --> 0:08:20.120
<v Speaker 1>a lot already. It in my opinion, maybe that's wrong,

0:08:20.400 --> 0:08:23.760
<v Speaker 1>but it's not. It's not as much as it has

0:08:23.800 --> 0:08:28.480
<v Speaker 1>grown to. Yeah, you're right, Matt, it's skyrocketed as of

0:08:29.120 --> 0:08:31.440
<v Speaker 1>nineteen and this is a number that continued to rise

0:08:31.560 --> 0:08:35.480
<v Speaker 1>during the pandemic. But as of the average US consumer

0:08:35.880 --> 0:08:41.720
<v Speaker 1>was eating around forty four zero point four pounds of

0:08:41.800 --> 0:08:47.000
<v Speaker 1>cheese per year. Yeah, yeah, and uh that's just the

0:08:47.040 --> 0:08:53.080
<v Speaker 1>tip of the cheeseburg or we're keeping it. For the

0:08:53.120 --> 0:08:57.439
<v Speaker 1>past ten years, US per capita consumption of cheese has

0:08:58.520 --> 0:09:03.360
<v Speaker 1>risen even more, uh over five pounds um from that point.

0:09:03.920 --> 0:09:06.680
<v Speaker 1>And as this began to happen, we had other dairy

0:09:06.720 --> 0:09:10.120
<v Speaker 1>categories that had largely remained unchanged or were flat or

0:09:10.160 --> 0:09:13.960
<v Speaker 1>had even fallen UM. Things like consumption of fluid milk

0:09:14.160 --> 0:09:17.319
<v Speaker 1>had plummeted from two forty seven pounds per person in

0:09:17.320 --> 0:09:22.920
<v Speaker 1>the N two hundred and forty six pounds, Which makes sense.

0:09:23.200 --> 0:09:25.840
<v Speaker 1>I mean, like we've talked about, I think on the

0:09:25.840 --> 0:09:29.120
<v Speaker 1>the cheese segment on the listener mail. You know, there

0:09:29.120 --> 0:09:31.520
<v Speaker 1>were all these amazing ad campaigns, you know, to get

0:09:31.559 --> 0:09:34.080
<v Speaker 1>milk back up milk drinking about how it's good for

0:09:34.120 --> 0:09:36.679
<v Speaker 1>your bones and calcium and and got milk and all

0:09:36.720 --> 0:09:39.360
<v Speaker 1>of that. Uh. Now, I think most people think of

0:09:39.400 --> 0:09:42.760
<v Speaker 1>milk as an ingredient rather than a beverage. Unto itself

0:09:42.760 --> 0:09:44.959
<v Speaker 1>like something you add to a smoothie or using making

0:09:44.960 --> 0:09:47.960
<v Speaker 1>a cake. But it doesn't seem very in vogue to

0:09:48.120 --> 0:09:52.480
<v Speaker 1>just drink milk as a refreshing beverage, unless unless you're

0:09:52.800 --> 0:09:55.840
<v Speaker 1>a kid. Uh, you know, a lot of parents still

0:09:55.960 --> 0:09:59.160
<v Speaker 1>give their children milk. Like in the waters, I give

0:09:59.200 --> 0:10:03.000
<v Speaker 1>my son milk cow's milk, um and we have, we

0:10:03.040 --> 0:10:06.000
<v Speaker 1>have for a long time. But the the ability to

0:10:06.440 --> 0:10:10.960
<v Speaker 1>this always so interesting. The ability to digest lactose in

0:10:11.120 --> 0:10:15.480
<v Speaker 1>adulthood is a relatively recent mutation in part of the

0:10:15.559 --> 0:10:19.479
<v Speaker 1>human species, and it's far from uniform. Uh. So sometimes

0:10:20.320 --> 0:10:25.439
<v Speaker 1>it's funny because if you if you watch television or film, uh,

0:10:25.480 --> 0:10:30.199
<v Speaker 1>you'll see the consumption of drinking milk is almost always

0:10:30.280 --> 0:10:33.240
<v Speaker 1>a statement. Now it's not the only time you'd see

0:10:33.240 --> 0:10:37.640
<v Speaker 1>it as like a quote unquote normal everyday thing. Is

0:10:37.679 --> 0:10:40.720
<v Speaker 1>if it's an indicator of time and place, so like

0:10:40.840 --> 0:10:43.319
<v Speaker 1>our story takes place in the nineteen fifties or something,

0:10:43.840 --> 0:10:48.600
<v Speaker 1>or if it's one of those tremendously irritating breakfast scenes

0:10:48.800 --> 0:10:51.240
<v Speaker 1>where there's this huge you know that, like there's this

0:10:51.360 --> 0:10:53.600
<v Speaker 1>huge spread and they got juice and they got water,

0:10:53.640 --> 0:10:55.559
<v Speaker 1>and they got coffee and they got milk, and then

0:10:55.559 --> 0:10:58.480
<v Speaker 1>the guy, like the patriarch or the kid there or

0:10:58.679 --> 0:11:02.040
<v Speaker 1>whomever's running through the house and they're they're like getting

0:11:02.080 --> 0:11:04.480
<v Speaker 1>calls and they look at this and they like take

0:11:04.520 --> 0:11:06.600
<v Speaker 1>half a bite of toast, and they're like, all right,

0:11:06.640 --> 0:11:10.480
<v Speaker 1>love you, honey, gotta go, And no one mentions you monster.

0:11:10.960 --> 0:11:14.600
<v Speaker 1>I did all this work. I made you this continental

0:11:14.640 --> 0:11:17.880
<v Speaker 1>breakfast type situation. You didn't need all that, but I

0:11:17.880 --> 0:11:19.520
<v Speaker 1>did it for you because I love you. You couldn't

0:11:19.520 --> 0:11:21.560
<v Speaker 1>even bother yourself to eat more than a bite of toast.

0:11:21.880 --> 0:11:27.360
<v Speaker 1>I want a divorce. That's that's where that goes. But no,

0:11:27.760 --> 0:11:32.080
<v Speaker 1>it's true. Milk is not nearly as popular as it

0:11:32.160 --> 0:11:34.480
<v Speaker 1>used to be. I like chocolate milk. I think that's

0:11:34.480 --> 0:11:36.800
<v Speaker 1>still probably flies off the shells pretty well, but it's

0:11:36.800 --> 0:11:39.360
<v Speaker 1>something you put in your coffee. Now. I think I

0:11:39.440 --> 0:11:41.959
<v Speaker 1>got a sideways story for you guys, real quick about

0:11:42.200 --> 0:11:46.040
<v Speaker 1>you know, the urban legend or the rumor about chocolate milk, right,

0:11:46.559 --> 0:11:49.800
<v Speaker 1>the bad milk. Yeah, that it's the milk with the

0:11:49.840 --> 0:11:55.160
<v Speaker 1>clots in it, with the blood clots, chocolate everything. For me, well,

0:11:55.200 --> 0:11:57.160
<v Speaker 1>back in the back in the day, that may have

0:11:57.200 --> 0:11:59.880
<v Speaker 1>been more true than it is today. You're probably safe

0:12:00.040 --> 0:12:05.240
<v Speaker 1>thanks to federal health standards, So please enjoy your chocolate milk. Also,

0:12:05.280 --> 0:12:08.120
<v Speaker 1>try you who if you haven't yet. It's a good

0:12:08.400 --> 0:12:11.360
<v Speaker 1>it's a good you who is to chocolate milk? What

0:12:11.520 --> 0:12:14.520
<v Speaker 1>those cheese slices are to cheese? You? Who is a

0:12:14.640 --> 0:12:19.600
<v Speaker 1>chocolate drink product? Right? There's any real milk or chocolate

0:12:19.640 --> 0:12:23.920
<v Speaker 1>in that beverage like a powder. But but yeah, we're

0:12:24.440 --> 0:12:28.000
<v Speaker 1>we're inundated with cheese in the US. It's officially a

0:12:28.080 --> 0:12:32.800
<v Speaker 1>cheesy country and a cheesy people. How did we get here? Well,

0:12:32.840 --> 0:12:38.160
<v Speaker 1>there are some easy, kind of fun answers. First, the

0:12:38.360 --> 0:12:41.720
<v Speaker 1>popularity of cheese owes a ton to the rise of pizza,

0:12:41.840 --> 0:12:44.120
<v Speaker 1>and I, for one, I'm grateful for the rise of pizza.

0:12:44.440 --> 0:12:46.760
<v Speaker 1>I know it's maybe not the same as the legit

0:12:46.840 --> 0:12:49.520
<v Speaker 1>pizza con I know it's absolutely not the same as

0:12:49.600 --> 0:12:54.640
<v Speaker 1>legit pizza created in Italy. But because of pizza alone,

0:12:54.800 --> 0:12:58.040
<v Speaker 1>mozzarella went from being kind of this obscure thing you'd

0:12:58.040 --> 0:13:01.480
<v Speaker 1>see it a fancy cheese place to one of the

0:13:01.520 --> 0:13:05.000
<v Speaker 1>most popular varieties of cheese in the country. Like around

0:13:05.400 --> 0:13:08.400
<v Speaker 1>like cheddar status, which is Cheddar is like the Kanye

0:13:08.480 --> 0:13:10.480
<v Speaker 1>West of cheese In the state. And was that an

0:13:10.480 --> 0:13:15.040
<v Speaker 1>accidental pun the rise of pizza? No, wait, yes, yes

0:13:15.080 --> 0:13:17.600
<v Speaker 1>it was. I didn't think about just checking that, checking

0:13:17.640 --> 0:13:19.160
<v Speaker 1>one of those off the list. If anyone wants to

0:13:19.160 --> 0:13:21.640
<v Speaker 1>make a drinking game out of this, yes, we all

0:13:21.679 --> 0:13:25.000
<v Speaker 1>are not accidental or not. We have a list of uh,

0:13:25.080 --> 0:13:27.360
<v Speaker 1>I think we all have. We've got a mental list

0:13:27.400 --> 0:13:29.480
<v Speaker 1>of puns. So again, this is gonna be pun heavy.

0:13:29.520 --> 0:13:33.840
<v Speaker 1>We've done some pretty serious, kind of dark episodes that

0:13:33.880 --> 0:13:37.080
<v Speaker 1>were we think very important, so we wanted to take

0:13:37.120 --> 0:13:39.440
<v Speaker 1>We're recorded on a Friday, folks. We wanted to do

0:13:39.559 --> 0:13:45.600
<v Speaker 1>something that was not immensely depressing. So well, you're right.

0:13:45.840 --> 0:13:48.400
<v Speaker 1>Just to get to the concept that cheese owes pizza

0:13:48.520 --> 0:13:51.600
<v Speaker 1>a lot of gratitude, at least as an industry, as

0:13:51.640 --> 0:13:55.800
<v Speaker 1>a food thing. Uh, really think about think about the

0:13:55.880 --> 0:14:00.400
<v Speaker 1>local pizza chain that maybe you grew up with. Then

0:14:00.480 --> 0:14:04.240
<v Speaker 1>also think about the big ones, the Dominoes, the pizza

0:14:04.320 --> 0:14:07.600
<v Speaker 1>huts eventually the Papa John's and the Goodfellas and the

0:14:07.640 --> 0:14:10.640
<v Speaker 1>ccs and all these other ones. When when you all

0:14:10.679 --> 0:14:13.520
<v Speaker 1>of a sudden, you had companies that could just deliver

0:14:13.679 --> 0:14:16.960
<v Speaker 1>you food, which wasn't a big thing in a lot

0:14:17.000 --> 0:14:20.240
<v Speaker 1>of places, and for a lot of companies, delivering food

0:14:20.320 --> 0:14:23.440
<v Speaker 1>was not a big thing, but it kind of changed

0:14:23.480 --> 0:14:27.880
<v Speaker 1>the game and how Americans got food and the other thing.

0:14:28.040 --> 0:14:31.800
<v Speaker 1>Just to really remember here, these aren't Italian companies bringing

0:14:32.040 --> 0:14:35.400
<v Speaker 1>you know, Italian pizza that's done correctly in the Italian way.

0:14:35.680 --> 0:14:40.680
<v Speaker 1>These are American companies that are creating food products with

0:14:40.800 --> 0:14:45.600
<v Speaker 1>relatively cheap ingredients where they can make a ton of

0:14:45.640 --> 0:14:48.520
<v Speaker 1>money on Uh So it's just a it's a very

0:14:48.560 --> 0:14:51.480
<v Speaker 1>different it's a very different thing. Um, we don't have

0:14:51.520 --> 0:14:53.200
<v Speaker 1>to get all into pizza that. We can leave that

0:14:53.280 --> 0:14:58.880
<v Speaker 1>to the saver folks, but uh yeah, definitely shout out

0:14:59.560 --> 0:15:01.560
<v Speaker 1>what it's telling we see all the time. Right, it's

0:15:01.600 --> 0:15:04.920
<v Speaker 1>like bastardization and sort of like um, I don't know,

0:15:05.400 --> 0:15:08.480
<v Speaker 1>co opting of like culture and turning it into this

0:15:08.560 --> 0:15:11.200
<v Speaker 1>sort of like product that can be mass marketed. And

0:15:11.240 --> 0:15:14.520
<v Speaker 1>I think, uh, these chain pizza restaurants are exactly that.

0:15:14.600 --> 0:15:17.280
<v Speaker 1>Because you go to like a Antiko's really awesome pizza

0:15:17.320 --> 0:15:19.840
<v Speaker 1>joint here in Atlanta, are anywhere you know that your

0:15:20.800 --> 0:15:22.880
<v Speaker 1>name your pizza joint of choice that is like a

0:15:22.920 --> 0:15:26.960
<v Speaker 1>little more traditional, you know, it's not covered in shredded cheese.

0:15:27.360 --> 0:15:30.640
<v Speaker 1>It has like a slice of like buffalo mozzarella, like

0:15:30.680 --> 0:15:33.200
<v Speaker 1>a little circle doll up on the top, and that's

0:15:33.200 --> 0:15:36.320
<v Speaker 1>what you get. And it's delicious and it's very delicate

0:15:36.360 --> 0:15:38.360
<v Speaker 1>and light h and it's not you don't get that

0:15:38.480 --> 0:15:41.120
<v Speaker 1>massive cheese pull. You get like one. But you know again,

0:15:41.360 --> 0:15:43.920
<v Speaker 1>they've got bags and bags and pounds and thousands and

0:15:43.920 --> 0:15:46.240
<v Speaker 1>thousands of tons of this stuff that they're trying to ship,

0:15:46.280 --> 0:15:48.360
<v Speaker 1>they're trying to sell, and it's like, uh, it is

0:15:48.400 --> 0:15:52.640
<v Speaker 1>a conspiracy between big pizza and big cheese. Well, let's

0:15:52.720 --> 0:15:55.720
<v Speaker 1>let's step back a second before we use the C word. So,

0:15:56.200 --> 0:15:59.680
<v Speaker 1>uh well, let's keep painting the picture, right. Did did

0:16:00.000 --> 0:16:02.720
<v Speaker 1>someone who went on the found Dominoes and Pizza Hut

0:16:02.800 --> 0:16:05.840
<v Speaker 1>go to Italy and say, look at this anything you

0:16:05.880 --> 0:16:10.160
<v Speaker 1>can do, I can do feeda or was this just

0:16:10.200 --> 0:16:15.560
<v Speaker 1>a natural outgrowth of changing trends and taste in the

0:16:15.560 --> 0:16:19.960
<v Speaker 1>American public? Did it happen as marketers would put it, organically?

0:16:20.440 --> 0:16:22.840
<v Speaker 1>We know that part of the that We know that

0:16:22.880 --> 0:16:29.120
<v Speaker 1>pizza has also given a lot of heft to shredded cheese,

0:16:29.120 --> 0:16:35.000
<v Speaker 1>in particular, about six billion dollars of the natural cheese

0:16:35.080 --> 0:16:42.200
<v Speaker 1>categories shredded cheese and uh, this the natural cheese category. Overall,

0:16:42.760 --> 0:16:44.960
<v Speaker 1>there is a little less than eighteen billion. We're talking

0:16:45.000 --> 0:16:50.920
<v Speaker 1>a lot of money here. During the coronavirus pandemic, Kraft Hinds,

0:16:50.960 --> 0:16:53.760
<v Speaker 1>which is a giant in the food industry, said it

0:16:53.840 --> 0:16:57.840
<v Speaker 1>saw an unprecedented double digit growth in this sale of

0:16:57.880 --> 0:17:01.320
<v Speaker 1>those craft singles, which is in the rest of the

0:17:01.320 --> 0:17:04.200
<v Speaker 1>world people would probably call that American cheese. It's those

0:17:04.240 --> 0:17:08.199
<v Speaker 1>processed yellow cheese slices we're talking about. But pizza and

0:17:08.240 --> 0:17:14.399
<v Speaker 1>a pandemic and organic taste cannot entirely explain America's weird

0:17:14.480 --> 0:17:19.320
<v Speaker 1>relationship with cheese. When we look into the dawn of

0:17:19.440 --> 0:17:24.439
<v Speaker 1>the American Age of cheesiness, we were surprised to find

0:17:24.800 --> 0:17:29.280
<v Speaker 1>there is literally a conspiracy of foot not a conspiracy theory,

0:17:29.600 --> 0:17:32.840
<v Speaker 1>not something that happened in the past. It is going

0:17:33.040 --> 0:17:37.080
<v Speaker 1>odd today. As as we pointed out, there really is

0:17:37.160 --> 0:17:41.359
<v Speaker 1>a thing called big cheese. And they're after you. What

0:17:41.440 --> 0:17:43.600
<v Speaker 1>are we talking about. We'll tell you after a word

0:17:43.680 --> 0:17:53.640
<v Speaker 1>from our sponsors. Here's where it gets crazy. So we've

0:17:53.680 --> 0:17:58.400
<v Speaker 1>all heard of government cheese, right, We'll get to that.

0:17:58.800 --> 0:18:02.640
<v Speaker 1>And if you, if you were in eighties or nineties, kid,

0:18:02.760 --> 0:18:05.600
<v Speaker 1>you would doubtlessly heard of this stuff, even if you

0:18:05.640 --> 0:18:09.840
<v Speaker 1>never saw it in person. But when we're talking about cheese,

0:18:10.480 --> 0:18:14.160
<v Speaker 1>really talking about milk, right, because you can't have cheat, well,

0:18:14.200 --> 0:18:16.959
<v Speaker 1>you can't have good cheese without milk, that's right. So

0:18:17.040 --> 0:18:19.520
<v Speaker 1>let's that's that's wind the clock back to the good

0:18:19.560 --> 0:18:22.480
<v Speaker 1>old nineteen eighties, the late eighties on the cusp of

0:18:22.520 --> 0:18:24.679
<v Speaker 1>the nineties, that that gray period where it sort of

0:18:24.680 --> 0:18:27.200
<v Speaker 1>still feels like the one era, but things are starting

0:18:27.200 --> 0:18:30.480
<v Speaker 1>to change a little bit. Night seven the mediaan dairy

0:18:30.480 --> 0:18:34.600
<v Speaker 1>farm had eighty cows or fewer. Uh. Today that number

0:18:34.800 --> 0:18:39.440
<v Speaker 1>is closer to nine hundred. So economies of scale drive

0:18:39.520 --> 0:18:43.520
<v Speaker 1>costs down and bolster output. Right. So on top of that,

0:18:43.560 --> 0:18:46.639
<v Speaker 1>you've got the average cow producing more milk than ever before,

0:18:47.040 --> 0:18:50.800
<v Speaker 1>and that is because of better breeding practices. They've kind

0:18:50.800 --> 0:18:52.399
<v Speaker 1>of figured it out and honed it down to a

0:18:52.480 --> 0:18:55.680
<v Speaker 1>science to get the most output for their buck. Uh.

0:18:55.720 --> 0:18:59.000
<v Speaker 1>And there are also those like heinous machines that you've

0:18:59.000 --> 0:19:02.280
<v Speaker 1>seen in like some of the factory production of milk.

0:19:02.600 --> 0:19:05.399
<v Speaker 1>I like the phrase heinous machines. That sounds like a

0:19:05.440 --> 0:19:08.320
<v Speaker 1>good album named I agree, but I think we all

0:19:08.359 --> 0:19:11.000
<v Speaker 1>know we're talking about those kind of like dystopian sci

0:19:11.040 --> 0:19:16.000
<v Speaker 1>fi milk suction cup tube machines that we're talking about, Matt. Yeah,

0:19:16.119 --> 0:19:18.760
<v Speaker 1>and some of them are completely fine. I mean, well,

0:19:18.800 --> 0:19:22.080
<v Speaker 1>who's who's to say people would argue that fact, but um,

0:19:22.960 --> 0:19:27.119
<v Speaker 1>many are less impactful on the cows than others. U

0:19:27.320 --> 0:19:32.080
<v Speaker 1>some I would use the term heinus. So yeah, anyway,

0:19:32.160 --> 0:19:36.840
<v Speaker 1>at the very least, it doesn't seem pleasant for the animal, right, Yeah, absolutely,

0:19:37.000 --> 0:19:41.959
<v Speaker 1>But as we know in our previous work on livestock conspiracies,

0:19:42.000 --> 0:19:46.480
<v Speaker 1>the feeling of the animal being used doesn't often come

0:19:46.480 --> 0:19:49.760
<v Speaker 1>into play. And there's also we should also, by the way,

0:19:49.880 --> 0:19:53.560
<v Speaker 1>folks do a an episode in the future on chicken farms,

0:19:53.800 --> 0:19:57.879
<v Speaker 1>just chicken, chicken, the chicken industry, poultry industry in particular.

0:19:58.280 --> 0:20:02.160
<v Speaker 1>It's bad, bad, I learn some weird stuff. But wait,

0:20:02.200 --> 0:20:05.280
<v Speaker 1>this is our light episode. We're keeping it light. Sorry, sorry, guys,

0:20:06.040 --> 0:20:08.000
<v Speaker 1>We're back to it. So you know what it is,

0:20:08.640 --> 0:20:10.800
<v Speaker 1>even at the cost I mean, and it's hard to

0:20:10.880 --> 0:20:14.919
<v Speaker 1>even talk about, but at the cost of the experience

0:20:14.960 --> 0:20:20.359
<v Speaker 1>of the cow. The whole point of all of that production,

0:20:21.000 --> 0:20:24.320
<v Speaker 1>it's to get more food for humans that need food.

0:20:24.600 --> 0:20:29.960
<v Speaker 1>In theory. In theory, yes, because it's responding to a market. Right,

0:20:30.400 --> 0:20:33.800
<v Speaker 1>there's a need for this milk, so we must produce

0:20:33.880 --> 0:20:37.000
<v Speaker 1>more of it. How do we do that more efficiently? Well,

0:20:37.160 --> 0:20:39.800
<v Speaker 1>this is how So I just put that out there.

0:20:39.960 --> 0:20:42.680
<v Speaker 1>Yeah there is a logic, Yeah, there is a logic.

0:20:42.720 --> 0:20:46.120
<v Speaker 1>The farmers weren't sitting around saying, how can we make

0:20:46.200 --> 0:20:51.400
<v Speaker 1>things worse? People don't usually think that way. And you know, often,

0:20:51.800 --> 0:20:55.600
<v Speaker 1>especially in smaller farms, they have a very human connection

0:20:55.960 --> 0:20:58.280
<v Speaker 1>with their livestock, you know, and they and they want

0:20:58.880 --> 0:21:01.280
<v Speaker 1>they want these cow us to live good lives and

0:21:01.320 --> 0:21:04.600
<v Speaker 1>be happy. Because if the cow is in a good

0:21:04.640 --> 0:21:07.199
<v Speaker 1>mental state, because it is a higher order mammal, if

0:21:07.240 --> 0:21:09.679
<v Speaker 1>it's in a good mental state, then that's going to

0:21:09.720 --> 0:21:13.280
<v Speaker 1>affect its diet, it's nutrition, and therefore the milk it produces.

0:21:13.960 --> 0:21:17.000
<v Speaker 1>We have to acknowledge at this point the dairy industry,

0:21:17.280 --> 0:21:22.240
<v Speaker 1>and we're talking about uh, several years or decades so ago,

0:21:22.840 --> 0:21:27.560
<v Speaker 1>they were not just producing milk for a domestic consumer,

0:21:27.600 --> 0:21:30.240
<v Speaker 1>they were producing it for other countries. And then a

0:21:30.400 --> 0:21:35.040
<v Speaker 1>crash hit China's economy slowed down. This drove the global

0:21:35.080 --> 0:21:38.480
<v Speaker 1>demand from milk down. At the same time, the EU

0:21:39.040 --> 0:21:42.960
<v Speaker 1>said they had had these domestic caps on how much

0:21:43.080 --> 0:21:47.400
<v Speaker 1>milk a European or EU farmer could produce, and they

0:21:47.480 --> 0:21:49.840
<v Speaker 1>remove those caps, so all of a sudden, the EU

0:21:50.000 --> 0:21:52.240
<v Speaker 1>is making a bunch of milk, which means they need

0:21:52.320 --> 0:21:56.640
<v Speaker 1>less from the US. Russia slapped sanctions on foeign cheese

0:21:56.720 --> 0:22:00.240
<v Speaker 1>because they were mad about some Western sanctions, and then

0:22:00.440 --> 0:22:04.000
<v Speaker 1>the US dollar was stronger, and that meant that American

0:22:04.080 --> 0:22:08.280
<v Speaker 1>dairy farmers had to sell milk at a more expensive

0:22:08.359 --> 0:22:12.760
<v Speaker 1>rate internationally. And these factors combined into this like bubbly

0:22:12.880 --> 0:22:16.399
<v Speaker 1>caso dip of problems. There was a massive ongoing cheese glut.

0:22:16.400 --> 0:22:19.320
<v Speaker 1>There was not a tortilla chip of a solution. Insight,

0:22:20.359 --> 0:22:23.400
<v Speaker 1>This did not occur in a vacuum at all historically,

0:22:23.720 --> 0:22:26.359
<v Speaker 1>because if you look back, you'll see that the US

0:22:26.480 --> 0:22:31.960
<v Speaker 1>government has a very long history of supporting dairy farmers

0:22:32.280 --> 0:22:39.399
<v Speaker 1>when prices collapse, through through subsidies, through marketing campaigns, through

0:22:39.600 --> 0:22:43.000
<v Speaker 1>government cheese. Uh, maybe we we should talk a little

0:22:43.000 --> 0:22:45.480
<v Speaker 1>bit about government cheese, I think before we continue, what

0:22:45.480 --> 0:22:47.600
<v Speaker 1>do you guys say? I think we should because I,

0:22:47.760 --> 0:22:49.880
<v Speaker 1>for the longest time sort of thought it was a joke,

0:22:50.560 --> 0:22:54.720
<v Speaker 1>um that it was sort of a euphemism for, you know,

0:22:54.880 --> 0:22:57.439
<v Speaker 1>welfare in some way. But it turns out it's a

0:22:57.480 --> 0:23:01.040
<v Speaker 1>real thing. It's an actual cheese product that the government

0:23:01.080 --> 0:23:06.000
<v Speaker 1>would distribute to low income individuals UH and families UM

0:23:06.000 --> 0:23:09.280
<v Speaker 1>in place of money or as a supplement to their

0:23:10.000 --> 0:23:15.000
<v Speaker 1>you know nutrition. Right. Yeah, it's processed cheese. It's been

0:23:15.040 --> 0:23:18.400
<v Speaker 1>around since the World Wars. It was used in military

0:23:18.480 --> 0:23:21.600
<v Speaker 1>consitions during World War Two. It's been in schools since

0:23:21.640 --> 0:23:24.959
<v Speaker 1>the nineteen fifties. So if you went to a public

0:23:25.000 --> 0:23:27.480
<v Speaker 1>school in the US, you probably at some point did

0:23:27.480 --> 0:23:32.000
<v Speaker 1>eat government cheese. It got a it became politically charged

0:23:32.040 --> 0:23:36.719
<v Speaker 1>because it was associated with welfare beneficiaries, people who received

0:23:36.760 --> 0:23:40.400
<v Speaker 1>food stamps or SNAP, people who are elderly and got

0:23:40.440 --> 0:23:44.560
<v Speaker 1>Social Security checks, and then people who visited food banks.

0:23:44.600 --> 0:23:49.959
<v Speaker 1>But there's absolutely nothing shameful about that. And and you know,

0:23:50.359 --> 0:23:53.680
<v Speaker 1>odds are outside of schools. We've got plenty of people

0:23:53.720 --> 0:23:57.360
<v Speaker 1>in our audience today who have at some point been

0:23:57.440 --> 0:24:00.840
<v Speaker 1>on government assistance. And not to a box too much,

0:24:01.200 --> 0:24:03.359
<v Speaker 1>but yeah, you should not feel bad about it. That

0:24:03.560 --> 0:24:06.399
<v Speaker 1>is what that assistance is there for. Every time you

0:24:06.480 --> 0:24:09.360
<v Speaker 1>buy something and Uncle Sam takes a little it takes

0:24:09.400 --> 0:24:12.040
<v Speaker 1>a little vig from you at the cash register. It's

0:24:12.080 --> 0:24:14.879
<v Speaker 1>supposed to go back to you in some way. Yeah,

0:24:15.000 --> 0:24:18.119
<v Speaker 1>I'm not gonna lie. I was myself when I was

0:24:18.160 --> 0:24:21.520
<v Speaker 1>a young new parent, um, you know, kind of getting

0:24:21.560 --> 0:24:24.560
<v Speaker 1>started in my career. Even before really I was there

0:24:24.600 --> 0:24:26.800
<v Speaker 1>was a period where we were living with my my

0:24:26.880 --> 0:24:30.560
<v Speaker 1>mom um when my daughter was born, and we got

0:24:30.560 --> 0:24:32.639
<v Speaker 1>a little bit of government assistance for a brief period

0:24:32.640 --> 0:24:35.040
<v Speaker 1>of time when we lived in Athens, Georgia. It was

0:24:35.040 --> 0:24:37.400
<v Speaker 1>actually kind of great because they had a system where

0:24:37.720 --> 0:24:40.320
<v Speaker 1>you could use those SNAP benefits to shop at the

0:24:40.320 --> 0:24:43.720
<v Speaker 1>local farmers market and you would get to to one

0:24:44.400 --> 0:24:48.720
<v Speaker 1>um value for your Snap dollars. So that was actually

0:24:48.720 --> 0:24:51.720
<v Speaker 1>a really progressive, great way of doing it, I thought,

0:24:51.880 --> 0:24:55.880
<v Speaker 1>And it would also support local farmers and that's that's

0:24:55.920 --> 0:24:59.520
<v Speaker 1>part of that's part of what this uh, that's part

0:24:59.520 --> 0:25:05.280
<v Speaker 1>of the good intention behind programs like this. The cheese, though,

0:25:05.520 --> 0:25:09.520
<v Speaker 1>where did all this government cheese come from? That's the question.

0:25:09.640 --> 0:25:12.959
<v Speaker 1>That's where we we see some wrinkles in the story

0:25:13.440 --> 0:25:17.840
<v Speaker 1>because it really was the motivation to get people who

0:25:18.040 --> 0:25:21.200
<v Speaker 1>needed food more food, or was there something else behind

0:25:21.560 --> 0:25:26.920
<v Speaker 1>that move? Exactly, Matt, Exactly. So the cheese often came

0:25:27.040 --> 0:25:31.600
<v Speaker 1>from food surpluses that were stockpiled by the government as

0:25:31.720 --> 0:25:36.680
<v Speaker 1>part of these this huge subsidies system. Butter was also

0:25:36.760 --> 0:25:39.640
<v Speaker 1>stockpiled and then it was given under the same program.

0:25:39.680 --> 0:25:41.359
<v Speaker 1>But you don't hear a lot of people talking about

0:25:41.400 --> 0:25:45.600
<v Speaker 1>government butter doesn't. Yeah, it doesn't sound as good exactly.

0:25:46.040 --> 0:25:50.760
<v Speaker 1>So while this program it's not nefarious, it also isn't

0:25:50.800 --> 0:25:54.800
<v Speaker 1>fully altruistic. Uncle Sam is killing two birds with one

0:25:54.800 --> 0:25:58.040
<v Speaker 1>wheel of parmesan. Here. Yes, they are feeding the hungry,

0:25:58.040 --> 0:26:03.960
<v Speaker 1>but they're also supporting a massive, sometimes faltering dairy industry

0:26:04.000 --> 0:26:07.280
<v Speaker 1>by guaranteeing farmers will be able to sell their products

0:26:07.680 --> 0:26:13.439
<v Speaker 1>even if the actual demand does not exist. This is

0:26:13.480 --> 0:26:16.840
<v Speaker 1>exactly what Matt was talking about earlier when we kept

0:26:16.880 --> 0:26:20.320
<v Speaker 1>saying in theory to each other, because in theory is

0:26:20.359 --> 0:26:24.040
<v Speaker 1>not the same thing as in practice. Gentlemen, it is

0:26:24.119 --> 0:26:27.600
<v Speaker 1>time for us to share with our fellow conspiracy realists

0:26:27.800 --> 0:26:32.000
<v Speaker 1>the story of the Illuminati of cheese, which is a

0:26:32.160 --> 0:26:34.480
<v Speaker 1>real thing. Like, can we say that one more time

0:26:34.480 --> 0:26:36.720
<v Speaker 1>and Paul maybe give us a like a whatever is

0:26:36.760 --> 0:26:45.560
<v Speaker 1>a cheesy, sinister sound effect, the Illuminati of cheese perfect.

0:26:46.480 --> 0:26:49.760
<v Speaker 1>I thought you meant literal cheese sound effect, but well,

0:26:49.920 --> 0:26:53.520
<v Speaker 1>we'll see what Paul comes up with magic Man, what

0:26:53.560 --> 0:26:59.720
<v Speaker 1>are you talking about? We already know where Yeah, we

0:27:00.119 --> 0:27:04.040
<v Speaker 1>we paused the recording and brainstormed about this for twenty minutes. Right. So,

0:27:04.960 --> 0:27:10.240
<v Speaker 1>as we said, American consumption of cheese has skyrocketed. But

0:27:10.400 --> 0:27:14.680
<v Speaker 1>even that skyrocketing consumption, which was not organic, by the way,

0:27:14.840 --> 0:27:18.800
<v Speaker 1>has not been enough to meet demand because we are

0:27:18.800 --> 0:27:22.879
<v Speaker 1>grappling with a system that has been in place since

0:27:22.960 --> 0:27:26.400
<v Speaker 1>the nineteen thirties, since the Great Depression, when the federal

0:27:26.440 --> 0:27:31.720
<v Speaker 1>government bailed out America's dairy industry with all these subsidies,

0:27:31.960 --> 0:27:34.800
<v Speaker 1>and many people who are not in in the dairy

0:27:34.840 --> 0:27:38.680
<v Speaker 1>industry themselves are not aware of this, but those subsidies

0:27:38.760 --> 0:27:42.960
<v Speaker 1>are in effect today, and part of the knock on

0:27:43.520 --> 0:27:47.719
<v Speaker 1>consequence of this is that Uncle Sam is underwritten this

0:27:47.840 --> 0:27:53.320
<v Speaker 1>gigantic surplus of milk in the dairy industry that far

0:27:53.760 --> 0:28:01.480
<v Speaker 1>far exceeds the appetites of Americans like we even even

0:28:01.600 --> 0:28:06.040
<v Speaker 1>the cheesiest cheese lover in this country, like the number

0:28:06.080 --> 0:28:11.439
<v Speaker 1>one cheese eater person. Uh, if everybody was like that person,

0:28:11.640 --> 0:28:14.800
<v Speaker 1>we still would not be able to buy all the

0:28:14.840 --> 0:28:17.719
<v Speaker 1>milk and all the cheese that was being produced. And

0:28:17.840 --> 0:28:22.080
<v Speaker 1>when when the US government realized that there was this

0:28:22.240 --> 0:28:31.000
<v Speaker 1>huge surplus. They found themselves in a difficult political situation. Uh,

0:28:31.200 --> 0:28:34.520
<v Speaker 1>they knew that it would be and it's something we

0:28:34.600 --> 0:28:37.399
<v Speaker 1>talked about and passed off air. But you know, during

0:28:37.400 --> 0:28:40.840
<v Speaker 1>this time, post World War two, things like that. Uh,

0:28:41.080 --> 0:28:44.640
<v Speaker 1>they knew that they had two choices. They could remove

0:28:44.720 --> 0:28:48.680
<v Speaker 1>the subsidies, which would lead to over time a reduction

0:28:48.920 --> 0:28:52.160
<v Speaker 1>and the surplus of production, or they could find a

0:28:52.200 --> 0:28:55.600
<v Speaker 1>way to buy this to create a market that did

0:28:55.600 --> 0:29:02.840
<v Speaker 1>not exist at this level. And rural vote, the farmer vote,

0:29:03.160 --> 0:29:07.240
<v Speaker 1>was very, very important. So so imagine you're you're, you know,

0:29:07.280 --> 0:29:09.800
<v Speaker 1>a presidential administration. Are you going to go to these

0:29:09.800 --> 0:29:12.960
<v Speaker 1>people who voted for you and then pull the financial

0:29:13.040 --> 0:29:15.080
<v Speaker 1>rug out from under them? Yes? And I want to

0:29:15.080 --> 0:29:17.560
<v Speaker 1>give you a quick quote from a professor of agricultural

0:29:17.600 --> 0:29:21.920
<v Speaker 1>economics at Cornell University. This quote comes from a video

0:29:22.320 --> 0:29:25.640
<v Speaker 1>created by CNBC. You can check it out on YouTube,

0:29:25.680 --> 0:29:30.000
<v Speaker 1>I believe right now, maybe on CNBC, But this quote

0:29:30.040 --> 0:29:32.360
<v Speaker 1>is dealing with exactly that Ben. He says that at

0:29:32.400 --> 0:29:36.360
<v Speaker 1>this time in the nineteen thirties, when these subsidies first arrive, quote,

0:29:36.480 --> 0:29:40.760
<v Speaker 1>rural America presented over half of the population of Americans

0:29:41.280 --> 0:29:46.400
<v Speaker 1>and farmers presented over half of rural America. So there

0:29:46.480 --> 0:29:49.560
<v Speaker 1>was this sense that as a politician, as the government,

0:29:49.600 --> 0:29:52.520
<v Speaker 1>if you are helping out farmers, you are helping out

0:29:52.600 --> 0:29:57.200
<v Speaker 1>a lot of citizens slash, as you said, been voters. Yeah,

0:29:57.240 --> 0:30:00.520
<v Speaker 1>that's the thing that's and this happens a lot in

0:30:00.920 --> 0:30:04.720
<v Speaker 1>the kind of political system that the US has, Right,

0:30:04.840 --> 0:30:10.160
<v Speaker 1>you have, Uh sometimes they're vilified as being special interests, right,

0:30:10.200 --> 0:30:14.280
<v Speaker 1>but you have these voters and these businesses or these

0:30:14.280 --> 0:30:18.040
<v Speaker 1>institutions who have a very specific set of things they

0:30:18.080 --> 0:30:23.280
<v Speaker 1>want to see in place. And at times these forces

0:30:23.400 --> 0:30:27.800
<v Speaker 1>can be relatively a political you know, the name brand

0:30:27.880 --> 0:30:32.600
<v Speaker 1>of the political party doesn't matter as much as their actions.

0:30:32.680 --> 0:30:35.480
<v Speaker 1>So you know, if there's a third party called them

0:30:36.080 --> 0:30:42.080
<v Speaker 1>provolone rangers, Uh, it just gets worse, It gets worse.

0:30:42.520 --> 0:30:45.680
<v Speaker 1>Did Uh If if you have that, you know, this

0:30:45.840 --> 0:30:50.640
<v Speaker 1>other party and there their policies are, you know, not

0:30:50.720 --> 0:30:53.040
<v Speaker 1>too extreme, but one of their big things is they

0:30:53.040 --> 0:30:56.920
<v Speaker 1>support a subsidy that supports your industry, then you're probably

0:30:56.920 --> 0:30:58.600
<v Speaker 1>going to vote for them, you know what I mean,

0:30:58.680 --> 0:31:03.560
<v Speaker 1>or at least donate to their cause. So that's what happened. Uh,

0:31:03.840 --> 0:31:07.720
<v Speaker 1>the US made the decision to and you know, I

0:31:07.760 --> 0:31:09.520
<v Speaker 1>think a lot of historians agree it was the right

0:31:09.560 --> 0:31:12.840
<v Speaker 1>decision to enact these subsidies for the dairy industry and

0:31:12.880 --> 0:31:16.160
<v Speaker 1>other parts of US business during the Great Depression. But

0:31:16.320 --> 0:31:19.920
<v Speaker 1>once you open that door, it can be political suicide

0:31:20.120 --> 0:31:24.160
<v Speaker 1>to close it, to step it back, And so they continued,

0:31:24.760 --> 0:31:29.920
<v Speaker 1>they continued subsidizing this industry. And now in recent years,

0:31:29.960 --> 0:31:34.320
<v Speaker 1>the US dairy surplus has reached a record high, and

0:31:34.400 --> 0:31:37.320
<v Speaker 1>it's it's been going this way for a while. Uh.

0:31:37.440 --> 0:31:40.320
<v Speaker 1>The U s d A quickly realized as a result

0:31:40.400 --> 0:31:44.239
<v Speaker 1>of these subsidies, they they could not figure out what

0:31:44.320 --> 0:31:46.520
<v Speaker 1>to do with all the milk, and so the band

0:31:46.560 --> 0:31:51.360
<v Speaker 1>aid solution was, I don't know, make it cheese last

0:31:51.440 --> 0:31:54.160
<v Speaker 1>longer than milk, and that's what they did. And so

0:31:54.400 --> 0:31:57.440
<v Speaker 1>in recent years, we have, as we mentioned our listener

0:31:57.480 --> 0:32:01.880
<v Speaker 1>mail segment, UH with Ryan, we have as a country

0:32:02.040 --> 0:32:06.920
<v Speaker 1>generated a surplus of one point for billion with a

0:32:07.000 --> 0:32:11.440
<v Speaker 1>b pounds of cheese. And you'll see all these breathless

0:32:11.560 --> 0:32:15.320
<v Speaker 1>reports like go on YouTube and just google cheese surplus.

0:32:15.600 --> 0:32:18.800
<v Speaker 1>Colbert's got a great spot on it. Your you know,

0:32:18.880 --> 0:32:20.959
<v Speaker 1>your local news might have done a story on it

0:32:21.000 --> 0:32:24.240
<v Speaker 1>a few years ago. But you'll see these these breathless

0:32:24.280 --> 0:32:29.160
<v Speaker 1>comparisons because we as Americans love weird measurements. One of

0:32:29.200 --> 0:32:33.120
<v Speaker 1>the ones who found was one point four billion pounds

0:32:33.160 --> 0:32:37.640
<v Speaker 1>of cheese. That's enough to wrap around the US capital. Uh.

0:32:37.880 --> 0:32:40.640
<v Speaker 1>Nobody's saying we should consume it all. Luckily you can

0:32:40.720 --> 0:32:46.320
<v Speaker 1>store cheese. But even if the nation tried to eat

0:32:46.440 --> 0:32:50.520
<v Speaker 1>all of this cheese, it's less and less likely that

0:32:50.560 --> 0:32:54.240
<v Speaker 1>we could do it because that surplus is still building

0:32:54.560 --> 0:32:58.760
<v Speaker 1>despite the fact that people are consuming more cheese. Uh,

0:32:58.840 --> 0:33:03.800
<v Speaker 1>there were side effects that uh would break havoc on

0:33:03.800 --> 0:33:07.160
<v Speaker 1>all of us. No, it's to say that's the thing though.

0:33:07.160 --> 0:33:09.720
<v Speaker 1>It's like not not to get soapbox or anything, but

0:33:09.800 --> 0:33:12.320
<v Speaker 1>like you know, with the healthcare crisis that we have

0:33:12.400 --> 0:33:15.040
<v Speaker 1>in this country, and then you start to see that

0:33:15.200 --> 0:33:18.400
<v Speaker 1>all of this consumer culture that leads to poor health

0:33:18.880 --> 0:33:21.720
<v Speaker 1>uh and and and that this lack of preventative medicine

0:33:22.000 --> 0:33:25.760
<v Speaker 1>everything's about curing when you're already like super sick and

0:33:25.800 --> 0:33:28.160
<v Speaker 1>on your lound death's door. A lot of it is

0:33:28.200 --> 0:33:32.040
<v Speaker 1>like literally the fault of the government in the first place.

0:33:32.120 --> 0:33:34.280
<v Speaker 1>This whole cheese glut thing. When you really start to

0:33:34.360 --> 0:33:36.760
<v Speaker 1>drill down into it, right like like I mean, I

0:33:36.760 --> 0:33:39.360
<v Speaker 1>think we can think of probably a better like for

0:33:39.400 --> 0:33:44.640
<v Speaker 1>the for the individuals subsidized food product like granola or something,

0:33:44.680 --> 0:33:46.680
<v Speaker 1>you know, I mean, what about the grain farmers only

0:33:46.680 --> 0:33:48.600
<v Speaker 1>need help to But it's crazy, you guys. I just

0:33:48.640 --> 0:33:50.960
<v Speaker 1>sent a link in the chat um. I was just

0:33:51.000 --> 0:33:54.239
<v Speaker 1>googling government cheese and an eBay listing came up for

0:33:54.360 --> 0:33:58.040
<v Speaker 1>a cardboard packaging box. It's like vintage. It's like like

0:33:58.080 --> 0:34:01.960
<v Speaker 1>sixty dollars on eBay. Uh, and it says pasteurized process

0:34:02.080 --> 0:34:07.160
<v Speaker 1>American cheese donated by US Department of Agriculture for food

0:34:07.240 --> 0:34:11.440
<v Speaker 1>help programs, not to be sold or exchanged. It just

0:34:11.480 --> 0:34:14.480
<v Speaker 1>says it all there, and it's like, there's that's it's

0:34:14.640 --> 0:34:18.080
<v Speaker 1>literally helping the government. It's not helping the people that

0:34:18.160 --> 0:34:21.560
<v Speaker 1>need you know, better food. Well, it's like helping them

0:34:21.640 --> 0:34:27.560
<v Speaker 1>is is kind of a side effects. It's cyclical together, right, Yeah,

0:34:27.640 --> 0:34:30.640
<v Speaker 1>But there's there's nothing wrong with multitasking, you know. And

0:34:30.680 --> 0:34:34.080
<v Speaker 1>if you're not hurting anybody and you're satisfying two things

0:34:34.120 --> 0:34:36.920
<v Speaker 1>at once, it's it's understandable, but aren't you They are

0:34:37.000 --> 0:34:40.360
<v Speaker 1>hurting people because she's clogs your arteries if you're eating

0:34:40.400 --> 0:34:43.120
<v Speaker 1>it like for every meal, and it and it leads

0:34:43.160 --> 0:34:46.000
<v Speaker 1>to this, like I think obesity at pepademic that we

0:34:46.080 --> 0:34:48.680
<v Speaker 1>have and like you know, heart heart disease, one of

0:34:48.719 --> 0:34:51.160
<v Speaker 1>the unhealthiest countries in the world. And I would argue

0:34:51.200 --> 0:34:54.600
<v Speaker 1>that the government is culpable in that. And on two

0:34:54.640 --> 0:34:58.520
<v Speaker 1>separate occasions in t sixteen, first in August and then

0:34:58.520 --> 0:35:03.040
<v Speaker 1>on October uh the FEDS announced they were gonna quote

0:35:03.040 --> 0:35:06.320
<v Speaker 1>bail out dairy farmers. They were gonna purchase twenty million

0:35:06.360 --> 0:35:11.040
<v Speaker 1>dollars more worth of surplus dairy products a kh cheese

0:35:11.239 --> 0:35:14.160
<v Speaker 1>to distribute in food pantries and some milk as well.

0:35:14.960 --> 0:35:18.160
<v Speaker 1>As this is occurring, by the way, as this surplus

0:35:18.320 --> 0:35:22.719
<v Speaker 1>is increasing, there's a global drop in demand for dairy.

0:35:22.880 --> 0:35:26.439
<v Speaker 1>Plus there's that technology we mentioned that's making cows give

0:35:26.560 --> 0:35:31.800
<v Speaker 1>more milk, which results in the lowest milk prices since

0:35:31.840 --> 0:35:35.600
<v Speaker 1>the Great Recession, not depression, but Great Recession ended in

0:35:35.640 --> 0:35:38.680
<v Speaker 1>two thousand and nine. This is something we alluded to

0:35:38.840 --> 0:35:44.920
<v Speaker 1>in our listener mail segment. Farmers were literally pouring gallons

0:35:44.960 --> 0:35:48.600
<v Speaker 1>and gallons and gallons of unsold milk into holes in

0:35:48.640 --> 0:35:51.960
<v Speaker 1>the ground. Fifty million gallons. That's according to the U

0:35:52.040 --> 0:35:56.480
<v Speaker 1>s DA itself in in August letter Uh, the National

0:35:56.560 --> 0:36:00.520
<v Speaker 1>Milk Producers Federation asked the U. S d A for

0:36:00.600 --> 0:36:04.960
<v Speaker 1>a bailout of a hundred and fifty million dollars. This

0:36:05.080 --> 0:36:09.040
<v Speaker 1>was an ongoing, continual issue. It just kind of like

0:36:09.200 --> 0:36:13.280
<v Speaker 1>would reach a crisis point, maybe go down one step

0:36:13.320 --> 0:36:15.400
<v Speaker 1>and then go up two steps, down one step. It

0:36:15.520 --> 0:36:19.320
<v Speaker 1>was an incremental increase and this led to the creation

0:36:19.400 --> 0:36:24.480
<v Speaker 1>of something with a somewhat innocuous Dame Dairy Management Incorporated.

0:36:24.480 --> 0:36:27.239
<v Speaker 1>Their website is super wholesome. As wholesome as a kid

0:36:27.239 --> 0:36:29.520
<v Speaker 1>in the nineteen fifties drinking a glass of milk. Can

0:36:29.560 --> 0:36:31.080
<v Speaker 1>I just say, there's got to be a better way

0:36:31.120 --> 0:36:33.680
<v Speaker 1>to dispose of fifty million gallons of milk and pouring

0:36:33.680 --> 0:36:35.560
<v Speaker 1>it into a hole in the ground that's gonna be

0:36:35.600 --> 0:36:41.520
<v Speaker 1>the smelliest hole ever. I can't imagine. I can't imagine

0:36:40.840 --> 0:36:49.560
<v Speaker 1>that's going to be this So, yes, we're keeping it.

0:36:50.200 --> 0:36:53.440
<v Speaker 1>So this is it's I mean, it's true because milk

0:36:53.560 --> 0:36:55.960
<v Speaker 1>doesn't have a very long shelf life, you know what

0:36:56.000 --> 0:37:00.759
<v Speaker 1>I mean? And you could say, why don't we distribute

0:37:00.800 --> 0:37:03.960
<v Speaker 1>this as part of an international aid or charity thing? Um,

0:37:04.280 --> 0:37:07.840
<v Speaker 1>But if you've listened to our previous episodes on farming

0:37:08.000 --> 0:37:11.360
<v Speaker 1>in the US and across the world. You know, farmers

0:37:11.360 --> 0:37:16.239
<v Speaker 1>are often put in a very risky situation with a

0:37:16.239 --> 0:37:19.920
<v Speaker 1>lot of forces that are beyond their control. So it

0:37:20.080 --> 0:37:22.920
<v Speaker 1>is understandable, as strange as it sounds, that they might

0:37:22.960 --> 0:37:27.600
<v Speaker 1>be in a situation where it is literally less expensive

0:37:27.840 --> 0:37:30.239
<v Speaker 1>for them to get rid of the milk than it

0:37:30.360 --> 0:37:32.880
<v Speaker 1>is to try to transport it somewhere and pay for

0:37:32.880 --> 0:37:36.280
<v Speaker 1>the gas and pay for the storage. And Dairy Management, Inc.

0:37:36.800 --> 0:37:40.239
<v Speaker 1>Was set to was set to try to solve this

0:37:41.360 --> 0:37:44.520
<v Speaker 1>the They were created by something called the National Dairy

0:37:44.560 --> 0:37:48.279
<v Speaker 1>Promotion Board in the mid nineties. Here's what they do.

0:37:48.360 --> 0:37:51.200
<v Speaker 1>Their job is to act as an umbrella company for

0:37:51.320 --> 0:37:58.160
<v Speaker 1>state and local programs promoting the dairy industry. In blunt terms, folks,

0:37:58.640 --> 0:38:04.959
<v Speaker 1>this organization was the quasi governmental organization was explicitly created

0:38:05.160 --> 0:38:10.040
<v Speaker 1>to push as much milk, cheese, butter, and yogurt as

0:38:10.120 --> 0:38:15.600
<v Speaker 1>possible into products and into people, both in the US

0:38:15.920 --> 0:38:19.319
<v Speaker 1>and in other countries. They're the hidden hand behind what

0:38:19.400 --> 0:38:23.760
<v Speaker 1>appears to be rising cheese consumption. They're the group behind

0:38:23.920 --> 0:38:27.680
<v Speaker 1>Got Milk. That campaign we mentioned. Everybody remembers Got Milk

0:38:27.800 --> 0:38:32.440
<v Speaker 1>there were Uh. It started with like some normal you know, models,

0:38:32.800 --> 0:38:36.840
<v Speaker 1>commercial lactors, and then it escalated to like celebrities and

0:38:36.880 --> 0:38:39.680
<v Speaker 1>everybody would have a little little milk mustache, right, and

0:38:39.719 --> 0:38:42.000
<v Speaker 1>then what they're called, yes sir, that we saw in

0:38:42.040 --> 0:38:46.279
<v Speaker 1>subway stations, you saw them in billboards as television commercials.

0:38:46.320 --> 0:38:48.200
<v Speaker 1>It was absolutely ubiquitous. I mean, it's the kind of

0:38:48.239 --> 0:38:51.279
<v Speaker 1>campaign that clearly a lot, a lot, a lot of

0:38:51.320 --> 0:38:55.040
<v Speaker 1>money and marketing resources went into. Yeah, it's it was.

0:38:55.600 --> 0:38:59.880
<v Speaker 1>It was direct to your eyes and ears advertising, that's

0:39:00.040 --> 0:39:02.319
<v Speaker 1>what they did. And it was an era defining too.

0:39:02.400 --> 0:39:04.680
<v Speaker 1>We think of it and it like almost defines like

0:39:04.760 --> 0:39:07.160
<v Speaker 1>that period in history in our minds. It's like a

0:39:07.200 --> 0:39:10.800
<v Speaker 1>nostalgia thing at this point, right, Yeah, in a weird

0:39:10.840 --> 0:39:17.040
<v Speaker 1>way their their mind lobbyists for on the individual level

0:39:17.880 --> 0:39:20.839
<v Speaker 1>of people sitting there watching television you know which which

0:39:20.920 --> 0:39:25.840
<v Speaker 1>was television shows? Man think about as especially kids watching

0:39:25.880 --> 0:39:28.040
<v Speaker 1>TV shows with all of those like us, I think

0:39:28.080 --> 0:39:30.640
<v Speaker 1>our generation, I mean it is the nineties, we got

0:39:30.719 --> 0:39:34.200
<v Speaker 1>hit hard with the got Milk campaign with a lot

0:39:34.239 --> 0:39:40.000
<v Speaker 1>of the promotion of dairy products and we it and

0:39:40.080 --> 0:39:43.680
<v Speaker 1>it formed a lot in in our minds. We're gonna

0:39:43.760 --> 0:39:46.160
<v Speaker 1>tell you a lot of these other things that you're

0:39:46.200 --> 0:39:48.879
<v Speaker 1>going to remember, probably from your childhood and growing up,

0:39:49.680 --> 0:39:53.160
<v Speaker 1>that that this company was behind I'm gonna pause it

0:39:53.239 --> 0:39:59.879
<v Speaker 1>again here. I believe wholeheartedly that the Ninja Turtles Tell

0:40:00.000 --> 0:40:04.120
<v Speaker 1>Division show that I watched as a child had some

0:40:04.239 --> 0:40:08.680
<v Speaker 1>kind of behind the scenes interaction with this group to

0:40:08.760 --> 0:40:12.000
<v Speaker 1>get me to like and want pizza all the time.

0:40:12.400 --> 0:40:14.920
<v Speaker 1>I think I think they're behind it. I can't prove it.

0:40:15.520 --> 0:40:18.560
<v Speaker 1>I think you're right. And this goes to This also

0:40:18.640 --> 0:40:21.840
<v Speaker 1>goes to Ryan's original question about the origin of the

0:40:21.920 --> 0:40:26.520
<v Speaker 1>cheese powder used in mac and Cheese. Uh want a pause.

0:40:26.640 --> 0:40:29.080
<v Speaker 1>We've got some of our fellow listeners who are who

0:40:29.120 --> 0:40:31.279
<v Speaker 1>are gonna You're gonna meet at the end of the

0:40:31.320 --> 0:40:34.080
<v Speaker 1>episode on Twitter with their cheese punts of their own.

0:40:34.520 --> 0:40:37.520
<v Speaker 1>But I wanted to point out this excellent tweet we

0:40:37.560 --> 0:40:41.320
<v Speaker 1>got from someone who lived in Wisconsin. Uh, this is Steph,

0:40:41.560 --> 0:40:44.080
<v Speaker 1>and Steph, you said, one of my favorite things while

0:40:44.120 --> 0:40:47.000
<v Speaker 1>living in Wisconsin were the billboards that were just black

0:40:47.040 --> 0:40:50.640
<v Speaker 1>text on a yellow field that said cheese, no other

0:40:50.680 --> 0:40:53.799
<v Speaker 1>info needed. They knew why you were there. And that's

0:40:53.840 --> 0:40:56.680
<v Speaker 1>like that. Whenever you see those really vague this is

0:40:56.680 --> 0:41:00.520
<v Speaker 1>an important point. Whenever you see those really vague prommercials

0:41:00.880 --> 0:41:03.920
<v Speaker 1>that are not about a specific brand name or product.

0:41:04.360 --> 0:41:07.760
<v Speaker 1>They're just about a kind of thing, right Like got

0:41:07.840 --> 0:41:11.239
<v Speaker 1>milk is never saying, you know, go like, it's not

0:41:11.400 --> 0:41:19.800
<v Speaker 1>Greenfield pastures milk. It's just the idea of freaking milk. Exactly, yes, exactly.

0:41:19.840 --> 0:41:22.560
<v Speaker 1>If that's what's for dinner, it's what's for dinner. I

0:41:22.600 --> 0:41:25.080
<v Speaker 1>love those kind of commercials, you know, I want to

0:41:25.080 --> 0:41:28.880
<v Speaker 1>see more of them where um. You know, sometimes they're wholesome,

0:41:28.920 --> 0:41:32.200
<v Speaker 1>they're thing. They're like literacy movements. They're like read books.

0:41:32.760 --> 0:41:37.000
<v Speaker 1>We don't care which one. Uh so we see we

0:41:37.080 --> 0:41:38.880
<v Speaker 1>see this, and what they're What d m I is

0:41:39.000 --> 0:41:42.160
<v Speaker 1>doing at this time in the in their early days

0:41:42.600 --> 0:41:45.319
<v Speaker 1>is um, like you said, Matt, they're doing direct to

0:41:45.560 --> 0:41:51.160
<v Speaker 1>consumer advertising. They're they're playing there. They are playing literal

0:41:51.239 --> 0:41:55.280
<v Speaker 1>burnet style mind games. They want you to be thinking

0:41:55.320 --> 0:41:58.040
<v Speaker 1>about milk. That wants you to be thinking about cheese

0:41:58.080 --> 0:42:02.080
<v Speaker 1>and yogurt when you're in the grocery store. Dream about it,

0:42:02.520 --> 0:42:06.040
<v Speaker 1>dream about it. I really want some cheese right now.

0:42:06.880 --> 0:42:11.560
<v Speaker 1>The dairy rainbow. So I don't know why dairy rainbow

0:42:11.640 --> 0:42:15.880
<v Speaker 1>makes me uncomfortable, but yeah, so something happened though in

0:42:15.960 --> 0:42:20.919
<v Speaker 1>the late nine, people in this country began eating out

0:42:21.000 --> 0:42:23.200
<v Speaker 1>more often. They were going to restaurants and stuff. They

0:42:23.200 --> 0:42:27.240
<v Speaker 1>weren't cooking as often at home. So d M I

0:42:27.280 --> 0:42:31.320
<v Speaker 1>did what Corporate America calls a pivot, and they started

0:42:31.480 --> 0:42:36.480
<v Speaker 1>working with companies that sold food to people in fast

0:42:36.480 --> 0:42:40.000
<v Speaker 1>food joints, in restaurants and what is it called approachable

0:42:40.040 --> 0:42:44.360
<v Speaker 1>fine dining? You know in in uh in the hallowed halls,

0:42:44.600 --> 0:42:46.920
<v Speaker 1>the Chilies, and the t g I f s throughout

0:42:46.920 --> 0:42:51.200
<v Speaker 1>the nation. But what about what about them quick them

0:42:51.239 --> 0:42:54.399
<v Speaker 1>quick food places? What do you call them? The fast

0:42:54.440 --> 0:43:00.319
<v Speaker 1>food joints? Yeah, yeah, yeah, Pizza Hut, Taco Bell. We

0:43:00.520 --> 0:43:05.120
<v Speaker 1>kid you not. They have been infiltrating. How weird is

0:43:05.160 --> 0:43:09.279
<v Speaker 1>that they have been infiltrated by t M I. Uh Like,

0:43:09.960 --> 0:43:13.120
<v Speaker 1>think about this. If you're nineties kid, you know, and

0:43:13.239 --> 0:43:17.440
<v Speaker 1>you you enjoyed book It, you enjoyed that personal pan pizza,

0:43:18.160 --> 0:43:22.399
<v Speaker 1>you probably you probably have this memory, yeah duds off

0:43:22.440 --> 0:43:29.160
<v Speaker 1>to crust pizza in Yeah, and specifically from maybe you

0:43:29.160 --> 0:43:32.120
<v Speaker 1>don't even remember eating it necessarily, but you certainly remember

0:43:32.239 --> 0:43:35.280
<v Speaker 1>seeing that cheese pull when and then the whole notion

0:43:35.320 --> 0:43:39.200
<v Speaker 1>of eating your pizza backwards. That was the whole impetus

0:43:39.239 --> 0:43:42.359
<v Speaker 1>behind us, and a little old guy, uh we might

0:43:42.400 --> 0:43:45.440
<v Speaker 1>have heard of named Donald Trump appeared in some of

0:43:45.440 --> 0:43:48.440
<v Speaker 1>those ads, um eating his pizza backwards and making it

0:43:48.440 --> 0:43:51.000
<v Speaker 1>sound like, you know, I'm Donald Trump, and I'm obviously

0:43:51.040 --> 0:43:53.719
<v Speaker 1>a smart guy, and I eat my pizza backwards because

0:43:53.760 --> 0:43:57.920
<v Speaker 1>that's just what you do, idiots. I think they cut

0:43:57.920 --> 0:44:02.200
<v Speaker 1>the part where he said it. That would have been funny,

0:44:02.239 --> 0:44:05.160
<v Speaker 1>That would have been edgy for nineties kid. But I

0:44:05.200 --> 0:44:09.680
<v Speaker 1>think you're right. Eating pizza backwards was already this new, exciting, weird,

0:44:09.840 --> 0:44:15.000
<v Speaker 1>cool thing. Uh. And by the end of the year,

0:44:16.000 --> 0:44:21.040
<v Speaker 1>this initiative had increased Pizza Hut sales by three million,

0:44:21.400 --> 0:44:23.960
<v Speaker 1>which sounds like a lot of money, but really it's

0:44:24.000 --> 0:44:28.120
<v Speaker 1>it's about a seven percent improvement over the previous year.

0:44:28.480 --> 0:44:32.279
<v Speaker 1>But still, think about all that extra cheese that went

0:44:32.360 --> 0:44:35.120
<v Speaker 1>in each one of those pizza pies. And if you

0:44:35.160 --> 0:44:38.239
<v Speaker 1>think about if you've got a stuffed crust pizza with

0:44:38.440 --> 0:44:42.120
<v Speaker 1>extra cheese, good god, d M. I is just killing

0:44:42.160 --> 0:44:45.280
<v Speaker 1>it here. Yeah, they're killing it, and they're killing you

0:44:46.120 --> 0:44:50.600
<v Speaker 1>slowly from the inside out. Greater good. If you eat

0:44:50.640 --> 0:44:54.280
<v Speaker 1>too much stuffed crust, eventually you become the stuffed crust yourself.

0:44:54.680 --> 0:44:57.200
<v Speaker 1>That's that's the problem. But you know, this reminds me.

0:44:57.320 --> 0:45:00.279
<v Speaker 1>I was trying to find while we're researching this um

0:45:00.440 --> 0:45:03.520
<v Speaker 1>between our listener mail and this episode, I was trying

0:45:03.560 --> 0:45:08.000
<v Speaker 1>to find this tweet that I loved from a while back.

0:45:08.320 --> 0:45:10.920
<v Speaker 1>It was someone I didn't know very well, but they

0:45:10.960 --> 0:45:14.799
<v Speaker 1>posted this this kind of explicit So Paul, please beat me. Uh.

0:45:14.960 --> 0:45:18.799
<v Speaker 1>Someone said, I was on a marketing call years ago

0:45:19.320 --> 0:45:23.319
<v Speaker 1>with Pete, with marketing people at Pizza Hut, and this

0:45:23.400 --> 0:45:27.960
<v Speaker 1>one guy said, we do it with what stuffed crust pizza.

0:45:28.200 --> 0:45:30.600
<v Speaker 1>No one asked us about that, We just did it.

0:45:30.880 --> 0:45:33.680
<v Speaker 1>And then the tweet ended. I think about that guy

0:45:33.719 --> 0:45:37.920
<v Speaker 1>a lot, and I love I love that idea that

0:45:38.080 --> 0:45:41.520
<v Speaker 1>someone is so gangster about stuffed crust. But now it

0:45:41.600 --> 0:45:44.200
<v Speaker 1>makes a little bit more sense because they had help

0:45:44.360 --> 0:45:48.279
<v Speaker 1>from the illuminati of cheese. They're not the only example. Uh,

0:45:48.400 --> 0:45:51.359
<v Speaker 1>Taco Bell is a huge example. Remember at the top,

0:45:51.440 --> 0:45:53.160
<v Speaker 1>we said the case a Loupa is going to come

0:45:53.160 --> 0:45:56.920
<v Speaker 1>into play in two thousand and twelve, a d M

0:45:56.960 --> 0:46:01.520
<v Speaker 1>I operative, we could call them that food scientists. It

0:46:01.640 --> 0:46:04.319
<v Speaker 1>was probably a fantastic person. We haven't spoken with her

0:46:04.360 --> 0:46:09.480
<v Speaker 1>directly named Lisa McClintock started working with the Taco Bell

0:46:09.800 --> 0:46:14.600
<v Speaker 1>product development team. Pause here for a second, Taco Bell fans,

0:46:15.880 --> 0:46:18.120
<v Speaker 1>does that not sound kind of like a dream job?

0:46:19.280 --> 0:46:22.640
<v Speaker 1>Like you go home from work and you're stressed out

0:46:22.719 --> 0:46:26.439
<v Speaker 1>and and your roommates or your partner, your friends are

0:46:26.480 --> 0:46:29.080
<v Speaker 1>are saying, oh, hey, what's got you down, and you're

0:46:29.080 --> 0:46:32.800
<v Speaker 1>like kicking rocks and you're like, they're just not They're

0:46:32.840 --> 0:46:37.160
<v Speaker 1>just not listening. With the burrito design, Okay, you don't

0:46:37.200 --> 0:46:40.640
<v Speaker 1>want leakage and I don't. I don't, And you're like, yeah,

0:46:40.680 --> 0:46:43.959
<v Speaker 1>you're like Samantha, they don't get my vision. Think about

0:46:44.000 --> 0:46:46.520
<v Speaker 1>the beauty. I mean, we've talked about it before, about

0:46:46.560 --> 0:46:48.440
<v Speaker 1>the beauty of Taco Bell and pizza. At some of

0:46:48.440 --> 0:46:51.279
<v Speaker 1>these other places, you've got a limited number of ingredients,

0:46:52.160 --> 0:46:56.440
<v Speaker 1>but anything you can do to create a new product

0:46:56.640 --> 0:47:01.440
<v Speaker 1>out of those ingredients can bring in millions and millions

0:47:01.440 --> 0:47:04.399
<v Speaker 1>of dollars. And that's like Mexican food, or at least

0:47:04.400 --> 0:47:07.799
<v Speaker 1>Americanized Mexican food in general, right, where like everything on

0:47:07.840 --> 0:47:10.000
<v Speaker 1>the menu is kind of a different combination of like

0:47:10.080 --> 0:47:13.200
<v Speaker 1>five or six ingredients. Taco Bell takes it to the extreme,

0:47:13.640 --> 0:47:16.879
<v Speaker 1>and you know, injects massive marketing dollars into it. Ben,

0:47:16.920 --> 0:47:23.120
<v Speaker 1>you were talking about what the case Uh what, there's

0:47:23.160 --> 0:47:26.919
<v Speaker 1>also the case Arito. Let's not forget about the case rito.

0:47:27.080 --> 0:47:30.160
<v Speaker 1>And when you look at it on the Taco Bell website, Um,

0:47:30.440 --> 0:47:34.600
<v Speaker 1>the cheese pouring forth from it is clearly that powdered

0:47:34.719 --> 0:47:38.520
<v Speaker 1>yellow stuff. Like there's not an ounce of actual cheese

0:47:38.680 --> 0:47:41.640
<v Speaker 1>in this. I'm I'm conjecturing it's just it's this the

0:47:41.640 --> 0:47:45.680
<v Speaker 1>wrong color. It's like this kind of weird beige yellow, pale,

0:47:45.840 --> 0:47:48.200
<v Speaker 1>odd color. When you see it pulling apart in this

0:47:48.320 --> 0:47:52.040
<v Speaker 1>perfectly symmetrical image. Uh, it also has just an insane

0:47:52.040 --> 0:47:56.440
<v Speaker 1>amount of saturated fat um and just more you know,

0:47:57.040 --> 0:47:59.680
<v Speaker 1>sodium than anyone should probably consume in a day. Um.

0:47:59.719 --> 0:48:03.439
<v Speaker 1>But it's absolutely true, Ben, it's genius marketing paired with

0:48:04.000 --> 0:48:07.040
<v Speaker 1>this actual conspiracy in this idea, we gotta move some

0:48:07.160 --> 0:48:13.160
<v Speaker 1>cheese units. Yeah. So Lisa McClintock started working with the

0:48:13.280 --> 0:48:18.040
<v Speaker 1>senior manager for product Development, Steve Gomez over Taco Bell,

0:48:18.360 --> 0:48:21.000
<v Speaker 1>and they said, we need to develop a new kind

0:48:21.080 --> 0:48:25.280
<v Speaker 1>of cheese, a new cheese filling, a new kind of cheese,

0:48:25.719 --> 0:48:28.560
<v Speaker 1>a new kind of cheese. You say, here at the

0:48:28.640 --> 0:48:33.080
<v Speaker 1>Taco Bell so, uh yeah, I'm at the food science lab,

0:48:33.160 --> 0:48:36.080
<v Speaker 1>I'm at the Taco Bell, I'm at the combination food

0:48:36.120 --> 0:48:39.839
<v Speaker 1>science and Taco Bell. There there's stretching and so they

0:48:39.880 --> 0:48:43.759
<v Speaker 1>want to make a stretchy cheese that that pulls like

0:48:43.880 --> 0:48:46.719
<v Speaker 1>taffy when it's heated. They want to figure out how

0:48:46.719 --> 0:48:49.719
<v Speaker 1>to mass produce it, and they want to invent some

0:48:49.800 --> 0:48:54.960
<v Speaker 1>proprietary machinery to make this. And the proprietary machinery is

0:48:55.400 --> 0:49:00.080
<v Speaker 1>really interesting, really clever. Point. So this the result of

0:49:00.160 --> 0:49:04.640
<v Speaker 1>this experimentation is something called the case Lupa, and I

0:49:04.680 --> 0:49:07.320
<v Speaker 1>think the case of Rito is clearly part of this too.

0:49:07.760 --> 0:49:10.440
<v Speaker 1>The case a Loupa, as you mentioned earlier, has five

0:49:10.480 --> 0:49:15.080
<v Speaker 1>times as much cheese as a basic crunchy taco. Taco

0:49:15.160 --> 0:49:18.080
<v Speaker 1>Bell had to buy four point seven million pounds of

0:49:18.160 --> 0:49:22.080
<v Speaker 1>cheese just too produce the shells. So that puts the

0:49:22.160 --> 0:49:27.000
<v Speaker 1>dent in that one point three billion pounds surplus. It's

0:49:27.000 --> 0:49:30.279
<v Speaker 1>weird if you read, if you read interviews with people

0:49:30.360 --> 0:49:33.120
<v Speaker 1>who are in Taco Bell management at the time, then

0:49:33.160 --> 0:49:35.600
<v Speaker 1>they will say, you know, for the longest time, we

0:49:35.680 --> 0:49:39.840
<v Speaker 1>thought cheese, sour cream stuff like that was kind of

0:49:39.880 --> 0:49:43.640
<v Speaker 1>more of a garnish or an add on to our products,

0:49:43.680 --> 0:49:46.360
<v Speaker 1>but now it's one of the main things beef and cheese,

0:49:46.680 --> 0:49:51.000
<v Speaker 1>So cheese use at Taco Bell since they partnered with

0:49:51.120 --> 0:49:56.960
<v Speaker 1>DMA it's increased by over twenty and that's that's why

0:49:57.200 --> 0:50:01.640
<v Speaker 1>d m I gets this strange, somewhat half sinister, half

0:50:01.719 --> 0:50:07.520
<v Speaker 1>hilarious nickname, the Illuminati of Cheese. We're gonna pause for

0:50:07.640 --> 0:50:13.880
<v Speaker 1>word from our sponsors. I'm wondering. I'm wondering too, and

0:50:14.080 --> 0:50:19.040
<v Speaker 1>we'll be back. We'll be back to explore some more

0:50:19.239 --> 0:50:25.960
<v Speaker 1>of unintended consequences of this again active ongoing conspiracy. Do

0:50:26.000 --> 0:50:29.879
<v Speaker 1>you guys think the Bacon Illuminati worked with Wendy's when

0:50:29.880 --> 0:50:32.239
<v Speaker 1>they came up with a bacon eater? D m I

0:50:32.320 --> 0:50:42.160
<v Speaker 1>definitely did. And we're back. Here's the thing. There's there's

0:50:42.239 --> 0:50:47.000
<v Speaker 1>no if and or but about it. D m I

0:50:47.120 --> 0:50:50.680
<v Speaker 1>will tell you and you speak with him that their

0:50:50.800 --> 0:50:57.200
<v Speaker 1>work has helped slow America's declining desire for dairy And

0:50:57.760 --> 0:51:02.040
<v Speaker 1>it's true that she demand for cheese is going like this,

0:51:02.360 --> 0:51:05.399
<v Speaker 1>and demand for milk is going like this. Uh so

0:51:06.920 --> 0:51:13.239
<v Speaker 1>do that do that for the non visual yes? So?

0:51:13.640 --> 0:51:16.760
<v Speaker 1>Uh if you look at a grid in your head, uh,

0:51:17.320 --> 0:51:21.640
<v Speaker 1>demand for cheese is starting at the lower left corner

0:51:21.800 --> 0:51:23.680
<v Speaker 1>and it's going all the way to the top right.

0:51:24.360 --> 0:51:27.839
<v Speaker 1>Demand for milk is starting sort of midway up your

0:51:28.040 --> 0:51:33.280
<v Speaker 1>y axis, and it's going down into the right beautiful networks. Okay,

0:51:33.400 --> 0:51:37.920
<v Speaker 1>So demand for milk has gone from thirty five pounds

0:51:37.960 --> 0:51:43.040
<v Speaker 1>per person in nine seventy five to fifteen pounds today.

0:51:43.239 --> 0:51:47.640
<v Speaker 1>So they've they've it's reversed. Like what was it? No,

0:51:47.840 --> 0:51:53.440
<v Speaker 1>I think, as you said, um, demand for uh, cheese

0:51:53.640 --> 0:51:57.040
<v Speaker 1>was what fourteen something? Oh yeah, that's right. In n

0:51:58.280 --> 0:52:02.400
<v Speaker 1>Americans were consuming fourteen pound of cheese. Then in like

0:52:02.640 --> 0:52:05.279
<v Speaker 1>essentially the modern day, it's around forty five pounds of

0:52:05.320 --> 0:52:09.960
<v Speaker 1>cheese per person per year. Milk has decreased a ton, right, Yeah,

0:52:09.960 --> 0:52:12.960
<v Speaker 1>I think it was a two close to fifty pounds

0:52:12.960 --> 0:52:17.839
<v Speaker 1>per person in nineteen and uh in um more like

0:52:17.920 --> 0:52:22.359
<v Speaker 1>one s So a significant decrease. And this is effective

0:52:22.480 --> 0:52:27.440
<v Speaker 1>for the a lot of the stakeholders, not counting the consumers.

0:52:27.920 --> 0:52:32.080
<v Speaker 1>Texas A and M economists did a cost benefit analysis

0:52:32.120 --> 0:52:35.600
<v Speaker 1>and in two thousand twelve they found that for every

0:52:35.640 --> 0:52:40.319
<v Speaker 1>single dollar a dairy producer invests in d M I UH,

0:52:40.360 --> 0:52:44.720
<v Speaker 1>they get two dollars and fourteen cents worth of return

0:52:44.840 --> 0:52:48.600
<v Speaker 1>for milk, four dollars twenty six cents worth of return

0:52:48.640 --> 0:52:52.760
<v Speaker 1>for cheese, and nine dollars in sixty three cents return

0:52:52.920 --> 0:52:56.920
<v Speaker 1>for butter. So yeah, so investing in d m I,

0:52:56.920 --> 0:52:59.200
<v Speaker 1>if you're if you're a dairy person, this is this

0:52:59.360 --> 0:53:05.440
<v Speaker 1>really helped. But of course, as we said, d m

0:53:05.520 --> 0:53:09.640
<v Speaker 1>I has, by nature of its mission its endeavor. They

0:53:09.640 --> 0:53:14.280
<v Speaker 1>have promoted lots of saturated fat, lots of cholesterol. Eating

0:53:14.400 --> 0:53:19.880
<v Speaker 1>cheese can add up. And for a federal agency that

0:53:20.080 --> 0:53:25.800
<v Speaker 1>is dedicated to improving overall nutrition and giving dietary guidance,

0:53:26.320 --> 0:53:31.000
<v Speaker 1>these partnerships can seem kind of like a contradiction, right,

0:53:31.239 --> 0:53:34.640
<v Speaker 1>Oh yeah, absolutely, And experts out there who talk about

0:53:34.680 --> 0:53:38.480
<v Speaker 1>this would completely agree with you. Ben. Uh. There's there's

0:53:38.520 --> 0:53:43.919
<v Speaker 1>a food oppression expert named Andrea Freeman who believes that

0:53:45.360 --> 0:53:48.360
<v Speaker 1>you know this, This group d m e s efforts

0:53:48.440 --> 0:53:53.479
<v Speaker 1>quote impose health costs on Americans generally, but disproportionately harm

0:53:53.600 --> 0:53:57.360
<v Speaker 1>low income African Americans and Latinos who live in urban

0:53:57.440 --> 0:54:03.120
<v Speaker 1>centers dominated by fast food restaurants. And we've just described

0:54:03.480 --> 0:54:09.200
<v Speaker 1>how these two giant, well now one giant chains that

0:54:09.239 --> 0:54:12.160
<v Speaker 1>we at least all went to when we were younger,

0:54:12.400 --> 0:54:16.239
<v Speaker 1>Like my family still eats at some of these restaurants. Um,

0:54:16.280 --> 0:54:18.840
<v Speaker 1>in these fast food chains, you can see where d

0:54:19.000 --> 0:54:23.040
<v Speaker 1>m I had large impacts at least on those brands

0:54:23.080 --> 0:54:27.200
<v Speaker 1>slash companies. And you can definitely see that. You can

0:54:27.239 --> 0:54:30.680
<v Speaker 1>see the evidence of what what Andrew Freeman is saying

0:54:30.680 --> 0:54:33.080
<v Speaker 1>here just in what we described with Pizza Hut and

0:54:33.120 --> 0:54:36.759
<v Speaker 1>Taco Bell. You can really see it. Yeah. And you know,

0:54:36.880 --> 0:54:41.239
<v Speaker 1>also farmers themselves aren't entirely on board with d m I,

0:54:42.200 --> 0:54:46.200
<v Speaker 1>because some will argue this primarily helps out the big guys,

0:54:46.280 --> 0:54:48.920
<v Speaker 1>the big dairy players, and not the family farms or

0:54:48.960 --> 0:54:52.239
<v Speaker 1>the smaller outfits. And that's a that's a valid criticism.

0:54:52.320 --> 0:54:54.960
<v Speaker 1>We see that happening with other parts of what is

0:54:55.000 --> 0:54:59.680
<v Speaker 1>called agribusiness on a high level. But either way, it

0:54:59.680 --> 0:55:04.040
<v Speaker 1>app yours. The cheesy Illuminati is real and is set

0:55:04.360 --> 0:55:08.080
<v Speaker 1>to stay. At this point, we want to pass the

0:55:08.160 --> 0:55:10.320
<v Speaker 1>torch to you folks who want to get a sense

0:55:10.400 --> 0:55:14.239
<v Speaker 1>of what you think, because there there there's a web

0:55:14.280 --> 0:55:17.840
<v Speaker 1>of connections. Here is this number one. A good idea

0:55:18.360 --> 0:55:20.799
<v Speaker 1>is this um. You know, some of us may argue

0:55:20.840 --> 0:55:23.919
<v Speaker 1>it's too much government intervention. Some of us may say

0:55:24.000 --> 0:55:27.000
<v Speaker 1>it's too dishonest for the public. Other people may say,

0:55:27.080 --> 0:55:33.120
<v Speaker 1>well it is overall, it's more beneficial that it is damaging.

0:55:33.760 --> 0:55:35.839
<v Speaker 1>We want to we want to hear from you. And

0:55:35.920 --> 0:55:39.160
<v Speaker 1>because we purposely wanted this to be to be a

0:55:39.920 --> 0:55:44.440
<v Speaker 1>lighter episode, and we promised some puns. Uh, we went

0:55:44.760 --> 0:55:50.000
<v Speaker 1>on Twitter uh and asked people if they would if

0:55:50.040 --> 0:55:52.399
<v Speaker 1>they would like to help us out with some puns.

0:55:52.440 --> 0:55:55.319
<v Speaker 1>So the tweet I put out, which is terrible, was

0:55:55.920 --> 0:55:58.520
<v Speaker 1>about to record this cheese episode. If you'd like to

0:55:58.520 --> 0:56:00.040
<v Speaker 1>be a part of the show, hit us up in

0:56:00.080 --> 0:56:02.480
<v Speaker 1>your favorite cheese puns in the next hour or so.

0:56:02.960 --> 0:56:08.440
<v Speaker 1>Dot dot dot This will be a guda one. Oh man, God,

0:56:08.480 --> 0:56:11.920
<v Speaker 1>I hate it. I hate Why do we do this? Anyway?

0:56:12.080 --> 0:56:16.840
<v Speaker 1>Here's here are some responses from your fellow listeners. Vaults

0:56:16.920 --> 0:56:19.239
<v Speaker 1>of x Talk, who we all know and love here

0:56:19.280 --> 0:56:25.600
<v Speaker 1>on the show, says, e damn, it has an eat um.

0:56:25.680 --> 0:56:27.600
<v Speaker 1>I'm assuming I can't think of any that would be

0:56:27.600 --> 0:56:32.920
<v Speaker 1>good enough for you eating cheese. No, that's not what

0:56:32.960 --> 0:56:41.200
<v Speaker 1>I meant to say. Eat Um. Is that a cheese ye? Yes? Um?

0:56:41.239 --> 0:56:44.879
<v Speaker 1>But then Vaults Vaults follows up with and now I'm

0:56:44.880 --> 0:56:48.240
<v Speaker 1>getting a pop up ad hot cheese singles in your area.

0:56:48.680 --> 0:56:52.880
<v Speaker 1>Thanks guys, that's great um our own O world, close

0:56:52.960 --> 0:56:55.600
<v Speaker 1>friends and colleague that you've heard on our show before.

0:56:56.000 --> 0:56:59.200
<v Speaker 1>Annie Reese Uh, one of the co creators and co

0:56:59.360 --> 0:57:07.680
<v Speaker 1>host the Amazing Saver podcast, says, unbreathlievable. You're too big

0:57:07.680 --> 0:57:10.520
<v Speaker 1>of a cheese to ask for my pun expertise. Now,

0:57:10.960 --> 0:57:15.319
<v Speaker 1>you munster spelled how I want to think? Yeah, cheese puns,

0:57:15.360 --> 0:57:19.240
<v Speaker 1>you monster, you relieve you're mildly cheddar than us. I

0:57:19.520 --> 0:57:24.960
<v Speaker 1>camembart being so fed up. That's funny because there were

0:57:25.000 --> 0:57:28.280
<v Speaker 1>some crossovers there between those two. Yeah, and then what

0:57:28.400 --> 0:57:31.000
<v Speaker 1>our buddy Nick Takowsky did a good one. I'd step up,

0:57:31.000 --> 0:57:34.160
<v Speaker 1>but I got the blues pretty bad this week. B

0:57:34.480 --> 0:57:39.080
<v Speaker 1>l e U s y and good friend of the show,

0:57:39.200 --> 0:57:42.080
<v Speaker 1>the one and only Mike Johns, who recently had a birthday.

0:57:42.160 --> 0:57:45.400
<v Speaker 1>Mike is a colleague of ours, a fantastic writer, musician,

0:57:45.520 --> 0:57:50.320
<v Speaker 1>producer here in Atlanta. Uh. He says something encouraging. He says,

0:57:50.360 --> 0:57:53.240
<v Speaker 1>you've got some pretty sharp followers. You chedd to get

0:57:53.320 --> 0:57:57.160
<v Speaker 1>some good suggestions here. I've got half a rind to

0:57:57.360 --> 0:58:00.000
<v Speaker 1>suggest a few, but I don't want to wedge myself

0:58:00.080 --> 0:58:05.240
<v Speaker 1>into the conversation. Wow, okay, here we go. Um, let's see,

0:58:05.240 --> 0:58:10.040
<v Speaker 1>he kept going by the way. Yeah, could we This

0:58:10.080 --> 0:58:14.200
<v Speaker 1>is one from at grape Whanger. That's a great twitter

0:58:14.280 --> 0:58:21.600
<v Speaker 1>named vigil um. Could we not craft less cheesy puns? Craft? No,

0:58:21.840 --> 0:58:28.840
<v Speaker 1>we can't wangerh Wow? Can we kind of jump to

0:58:28.920 --> 0:58:33.280
<v Speaker 1>Andy really quickly? Andy? He said, Ben, I believe you

0:58:33.320 --> 0:58:35.720
<v Speaker 1>have enough puns for us all but fed us safe

0:58:35.760 --> 0:58:39.360
<v Speaker 1>and sorry, here's a joke. What hotel do cheese lovers

0:58:39.400 --> 0:58:46.680
<v Speaker 1>stay in? The Stilton? Wonderful? My Stilton Honors Club can't

0:58:46.680 --> 0:58:51.640
<v Speaker 1>wait for that? And then uh, Steph, who we mentioned earlier,

0:58:51.680 --> 0:58:54.160
<v Speaker 1>says I'd make a joke about American cheese, but it

0:58:54.200 --> 0:58:59.479
<v Speaker 1>wouldn't age well. Shots fired, Shots fired. You can find

0:58:59.560 --> 0:59:01.600
<v Speaker 1>you can find more of these puns. We'd love to

0:59:01.680 --> 0:59:06.480
<v Speaker 1>hear your your favorite cheese puns or your least favorite

0:59:06.800 --> 0:59:09.680
<v Speaker 1>if you hate puns and ignored our warning and sat

0:59:09.720 --> 0:59:14.280
<v Speaker 1>through this episode. And equally importantly, we'd like to hear, um,

0:59:14.360 --> 0:59:17.000
<v Speaker 1>what what you think about these kind of things. They're

0:59:17.040 --> 0:59:20.240
<v Speaker 1>part of what's known as check off programs. We mentioned

0:59:20.240 --> 0:59:24.120
<v Speaker 1>this earlier. The idea is that it is so important

0:59:24.200 --> 0:59:27.920
<v Speaker 1>to have your own domestic sources of food that you

0:59:28.080 --> 0:59:30.240
<v Speaker 1>will you know, you'll go out of your way to

0:59:30.320 --> 0:59:33.840
<v Speaker 1>support them more than you may some other businesses. Oh

0:59:33.880 --> 0:59:41.440
<v Speaker 1>and uh, Jenna V. Says sweet dreams are made of cheese. Cheese.

0:59:42.400 --> 0:59:49.960
<v Speaker 1>Oh am, I to breathe. We gotta get out of

0:59:50.000 --> 0:59:53.960
<v Speaker 1>this the Paul. I can feel Paul growing so uh

0:59:54.080 --> 0:59:56.440
<v Speaker 1>so let us know your thoughts. We can't wait to

0:59:56.440 --> 0:59:58.520
<v Speaker 1>hear from you. We try to be easy to find online.

0:59:58.560 --> 1:00:00.120
<v Speaker 1>That's right. You can find us on the end your

1:00:00.120 --> 1:00:03.720
<v Speaker 1>net where you can also find that vintage government cheese

1:00:03.720 --> 1:00:06.440
<v Speaker 1>box that I mentioned. The listing is still live on

1:00:06.560 --> 1:00:08.760
<v Speaker 1>eBay if you're if you're down for that, um, just

1:00:08.800 --> 1:00:11.360
<v Speaker 1>search for vintage Government cheese box on eBay. I think

1:00:11.400 --> 1:00:13.680
<v Speaker 1>the bid is up to around sixty bucks. But if

1:00:13.680 --> 1:00:16.480
<v Speaker 1>you're looking for us, you can find us on Instagram

1:00:16.960 --> 1:00:19.800
<v Speaker 1>or we are conspiracy stuff show Twitter and Facebook or

1:00:19.840 --> 1:00:22.480
<v Speaker 1>were conspiracy stuff. You can also give us a telephone call.

1:00:22.680 --> 1:00:24.640
<v Speaker 1>We are one eight three three s T d W

1:00:24.880 --> 1:00:28.240
<v Speaker 1>y t K. Hit him with it, Matt, Yeah, hit

1:00:28.320 --> 1:00:33.000
<v Speaker 1>him with the rules. I was gonna hey, is there

1:00:33.000 --> 1:00:39.000
<v Speaker 1>a hey? Is there a cheese that rhymes with hey? Yes?

1:00:39.080 --> 1:00:41.240
<v Speaker 1>When you call, please tell us the name you would

1:00:41.240 --> 1:00:43.120
<v Speaker 1>like for us to refer to you as, doesn't have

1:00:43.160 --> 1:00:44.720
<v Speaker 1>to be your real name, could be a code name

1:00:44.800 --> 1:00:48.320
<v Speaker 1>like Doc Holiday or Mission Control. Super cool. Then let

1:00:48.360 --> 1:00:50.520
<v Speaker 1>us know if we can use your message on air.

1:00:50.960 --> 1:00:54.480
<v Speaker 1>That's very helpful for us. Thank you, lawyers say cheers.

1:00:55.400 --> 1:00:58.600
<v Speaker 1>Then leave your message. Please only call once per subject,

1:00:58.720 --> 1:01:01.400
<v Speaker 1>that would be very helpful as well. And if you've

1:01:01.440 --> 1:01:03.840
<v Speaker 1>got a message you want to say personally to us,

1:01:03.840 --> 1:01:05.840
<v Speaker 1>please put it right in the end. There you've got

1:01:05.880 --> 1:01:10.920
<v Speaker 1>a quick update. This justin. Uh, code named dot Holiday

1:01:11.120 --> 1:01:15.400
<v Speaker 1>adds that have our tie and grew yer are are

1:01:15.640 --> 1:01:18.440
<v Speaker 1>very high on our list. And I just I promised

1:01:18.440 --> 1:01:22.200
<v Speaker 1>her we would mention that, Oh that's important. It's important stuff.

1:01:22.520 --> 1:01:24.840
<v Speaker 1>And you call us tell us your favorite cheese is

1:01:24.880 --> 1:01:27.560
<v Speaker 1>what you know about the cheese spiracy going on here?

1:01:27.840 --> 1:01:35.120
<v Speaker 1>Whenever you're front, that's perfect, that's right, oh man. And uh,

1:01:35.480 --> 1:01:37.560
<v Speaker 1>if you don't want to do that stuff, you don't

1:01:37.600 --> 1:01:38.760
<v Speaker 1>want to leave us a message, you don't want to

1:01:38.760 --> 1:01:40.680
<v Speaker 1>find us on the internet, definitely check out the YouTube

1:01:40.760 --> 1:01:44.760
<v Speaker 1>channel conspiracy stuff over there. And if you have something

1:01:44.800 --> 1:01:46.760
<v Speaker 1>to tell us and you want to send links or

1:01:46.800 --> 1:01:48.880
<v Speaker 1>you wanna, you know, really write a lot of stuff out.

1:01:49.160 --> 1:01:52.440
<v Speaker 1>Please use our good old fashioned email address. We are

1:01:52.880 --> 1:01:57.080
<v Speaker 1>conspirat cheese at i heeart radio dot com, conspiracy at

1:01:57.120 --> 1:02:18.400
<v Speaker 1>iHeart radio dot com. Yeah, stuff they don't want you

1:02:18.440 --> 1:02:21.080
<v Speaker 1>to know. Is a production of I heart Radio. For

1:02:21.120 --> 1:02:23.520
<v Speaker 1>more podcasts from my heart Radio, visit the i heart

1:02:23.600 --> 1:02:26.360
<v Speaker 1>Radio app, Apple Podcasts, or wherever you listen to your

1:02:26.360 --> 1:02:27.040
<v Speaker 1>favorite shows.