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

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

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

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Speaker 1: production of I Heart Radio. Hello, welcome back to the show.

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Speaker 1: My name is Matt, my name is Noel. They called

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Speaker 1: me Ben. We're joined as always with our super producer

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Speaker 1: Paul Mission controlled decades. Most importantly, you are you, You

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

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Speaker 1: you to know. We're diving back into the livestock industry.

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Speaker 1: So that's either that's either a disclaimer to anyone eating

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Speaker 1: right now, or it's an invitation to turn it up

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Speaker 1: while you're cooking whatever you're cooking in your kitchen. Uh.

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Speaker 1: In our previous episode, we explored the gargangel sometimes hidden

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Speaker 1: economy behind meat in general, and we noted just how

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Speaker 1: much influence the livestock industry has upon so many other industries.

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Speaker 1: And Matt, you pointed out the transit is a huge

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Speaker 1: piece of this, you know, which a lot of people

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Speaker 1: don't think about. Yeah, most definitely, the animals have to

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Speaker 1: get there somehow a lot of times, if you know,

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Speaker 1: depending on the facility, and then they the product has

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Speaker 1: to get other places as well, and and sometimes it's

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Speaker 1: across oceans, which is crazy to think about, right right,

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Speaker 1: the days of cowboys hurting cattle by foot and by

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Speaker 1: hoof across the American West are are kind of long

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Speaker 1: gone and romanticized. It's one of those things we always

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Speaker 1: talk about, like how technology moves things forward, and how

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Speaker 1: refrigeration and just like ice is probably one of the

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Speaker 1: most meaningful technologies quote unquote of our you know species

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Speaker 1: in many ways. It allows us to do so many

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Speaker 1: things like ship meat without spoiling across oceans. And I

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Speaker 1: like that ice example there no because uh there, there's

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Speaker 1: a wonderful parable, a real story about refrigeration and ice,

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Speaker 1: and I think it can come into play in this episode.

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Speaker 1: But the the short and dirty of it is, I

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Speaker 1: believe we may have mentioned this in the past on

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Speaker 1: Stuff they want you to know. When refrigeration companies came out,

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Speaker 1: they were entering an industry and ice industry that already existed,

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Speaker 1: and the ice industry of the time did not create ice.

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Speaker 1: They traveled up to I think the ones in New

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Speaker 1: York traveled up to Canada and they would cut out

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Speaker 1: blocks of ice and they would cover it with Hay

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Speaker 1: and then they would haul ass down to New York

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Speaker 1: where they would sell the ice. So the refrigeration guys

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Speaker 1: show up, they're the they're the new kids on the block,

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Speaker 1: new fridge on the block, whatever you wanna call it,

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Speaker 1: new kids on the ice block. We can go a

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Speaker 1: lot of different ways with us and those. And when

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Speaker 1: the refrigeration guys showed up, the industry that existed that

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Speaker 1: was based entirely on UH cutting and hauling ice did

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Speaker 1: not see them as allies or did not see them

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Speaker 1: as an opportunity. Instead, they sought to shut that industry down.

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Speaker 1: They invested in faster trucks, in different types of hey,

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Speaker 1: different tires, because they did not see or we're not

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Speaker 1: ready to see the future for what it was. And

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Speaker 1: this this kind of you can call it a couple

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Speaker 1: of different things. Path dependence is one UM where and

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Speaker 1: we're so comfortable with the status quo of process or

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Speaker 1: a technology that um we are hesitant companies, individuals, groups, governments,

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Speaker 1: we are hesitant to embrace the new stuff because it

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Speaker 1: may upend the status quo. So shout out to those

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Speaker 1: ice trackers. Nelson laugh. So it is a crazy thing

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Speaker 1: to think about, especially if you boil it down to

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Speaker 1: an individual or to an individual level. So we're talking

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Speaker 1: about innovation, especially in technology, when something new comes along,

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Speaker 1: and then really you're talking about money the costs associated

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Speaker 1: with retrofitting or replacing existing technology. So if you're talking

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Speaker 1: about a single farmer and a new technology comes along

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Speaker 1: that is, you know, not only more efficient, but it's

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Speaker 1: safer for an animal or something like that, you're talking

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Speaker 1: about an individual person that then probably has to get

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Speaker 1: a major loan or work out something with whoever is

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Speaker 1: distributing the stuff to then retrofit or change everything otherwise

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Speaker 1: get get left behind well and not to mention, probably

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Speaker 1: lose you know, a large portion of of time and

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Speaker 1: money doing that process to where you have to move

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Speaker 1: all of your livestock out or something. I mean, it's

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Speaker 1: just you can till you can see why there's that

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Speaker 1: pushback against innovation and has been historically totally Yeah, and

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Speaker 1: I love the farmers example there too, because one of

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Speaker 1: the one of the big ways of these changes happen

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Speaker 1: tend to be in the developed world government subsidies, which

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Speaker 1: there are their own very sticky bag of badgers. But

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Speaker 1: what we're god, we're doing a great job setting this up.

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Speaker 1: I hope the rest of the episode is this good.

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Speaker 1: I don't want to chance us, so knock on wood. Uh.

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Speaker 1: Yet these points are all these points are all valid,

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Speaker 1: and there aren't really clear answers. That's the dilemma. There

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Speaker 1: are also bad actors at play, people who don't mind uh,

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Speaker 1: skirting the rules, cutting corners, or breaking the law to

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Speaker 1: maintain their position in a certain economic hierarchy. That's I

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Speaker 1: know that sounds like a lot of gobbledegook, but it's true.

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Speaker 1: In our last episode, we we explored this in a

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Speaker 1: in a number of examples. It's a question that people

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Speaker 1: don't ask themselves very often in the West, why is

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Speaker 1: meat so cheap? Like, would you consider all of the care,

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Speaker 1: the skill, uh, the resources that are fired to raise cattle,

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Speaker 1: raised chickens, raise pigs. Then it's weird that you can

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Speaker 1: just go somewhere and and get a pretty nice steak

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Speaker 1: without breaking the bank. Uh. This this is this is

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Speaker 1: an effect of the way the industry is set up.

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Speaker 1: And again, as we said in our previous episode, none

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Speaker 1: of this is a ding on farmers. None of this

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Speaker 1: is ading on the people who work in these industries.

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Speaker 1: And there is a very solid argument to be made

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Speaker 1: that modern a big piece of modern civilization, as we

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Speaker 1: understand it cannot survive without this industry. We cannot just

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Speaker 1: shut off the switch will leave millions out of work.

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Speaker 1: Um well, there will spell economic disaster in a number

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Speaker 1: of areas. But why are we even talking about that?

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Speaker 1: We check out that first episode. In today's episode, we're

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Speaker 1: examining another aspect of the livestock industry, and it's one

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Speaker 1: that remains highly divisive in the modern day. Several of

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Speaker 1: our fellow listeners wrote to us about this after episode one,

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Speaker 1: and here's here's what we're focusing on the animals themselves

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Speaker 1: is here are the facts. I guarantee this is true.

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Speaker 1: This is so weird and Twilight Zone, believe it or not,

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Speaker 1: there are people in the developed world who have never

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Speaker 1: seen a cow in person. I've never seen a pig,

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Speaker 1: maybe never seen a chicken. Those are three of the

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Speaker 1: largest meat sources around. People eat millions of cows and

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Speaker 1: chickens and pigs, but can you imagine never actually seen

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Speaker 1: one except TV? Oh yeah, I mean that's sort of

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Speaker 1: the whole point of the meat packing industry is to

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Speaker 1: create that divide between people's food the actual living version

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Speaker 1: of it and then eating it, because you know, there's

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Speaker 1: a lot of violence and kind of gnarly stuff that

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Speaker 1: goes into killing your own raising and killing your own

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Speaker 1: food that a lot of regular old American kind of

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Speaker 1: middle class folks probably couldn't stomach. Yeah, it's true. Um.

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Speaker 1: Another thing to point out here is that many of us,

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Speaker 1: especially in our generation, have this fondness of animals that

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Speaker 1: have been uh, that that have been portrayed in in

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Speaker 1: these big movies. I'm thinking, I mean, it's not necessarily

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Speaker 1: factory from maybe Babe is a really good example web,

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Speaker 1: but where where uh an animal is humanized to such

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Speaker 1: an extent, you know, and and given a name and

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Speaker 1: can talk and and we feel the emotions there with them,

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Speaker 1: that we've developed a connection, the different kind of connection

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Speaker 1: to animals that are that we eat and absolutely imaginary

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Speaker 1: and idealized connection that would argue, right, you can't. You

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Speaker 1: can befriends um cows, and you can befriend pigs. People.

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Speaker 1: You know, if you've worked with chickens before and you're

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Speaker 1: on the audience today, let us know your take on chickens.

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Speaker 1: I remember in well, in a different lifetime, in a

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Speaker 1: rural area. There was this there was this one chicken

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Speaker 1: in this place. I was a living that was like

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Speaker 1: known as the bad chicken. Everybody in this um community

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Speaker 1: like new there was this chicken that was just a toll.

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Speaker 1: And that's the only time I've heard of a chicken personality.

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Speaker 1: But I don't know every chicken. I was once chased

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Speaker 1: by a chicken. Uh. Didn't care for it one bit.

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Speaker 1: It was that like a yurt. You ever stayed at

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Speaker 1: a yurt? Yeah, there was a a yurt. There was

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Speaker 1: a resident chicken and it chased me and my girlfriend

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Speaker 1: at the time had to shoot it away with a

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Speaker 1: broomstick because, as you guys know, I'm a little anti

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Speaker 1: bird and it was freaking me out. Uh. And chickens

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Speaker 1: are so aggressive when they come at you like that.

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Speaker 1: They're like the way geese kind of come at you.

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Speaker 1: But um, it's true. I mean there is sort of

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Speaker 1: you know, I know people that have raised their own

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Speaker 1: chickens that have their own goats that you know, and

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Speaker 1: the goats that they're not raising them to slaughter them.

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Speaker 1: They're raising them to graze and to maybe give milk

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Speaker 1: or something like that. And oftentimes the chickens are just

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Speaker 1: raised to give eggs. And I actually found out that

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Speaker 1: if you hatch a male chicken, not only you don't

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Speaker 1: want it in the henhouse, because then the eggs will

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Speaker 1: be fertilized and you'll just get more baby chickens as

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Speaker 1: opposed to eggs. They're total polls, like you're saying, Ben,

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Speaker 1: and you often there's a there's a like a service

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Speaker 1: of some kind that where you take your male chicken

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Speaker 1: and you donate it to this service and then they

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Speaker 1: fight those chickens. That's maybe that's the dark side of

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Speaker 1: of of chicken male chicken donations. I would just say

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Speaker 1: kind of similar to that. And I don't want to

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Speaker 1: stick on this too long, but I do have a

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Speaker 1: very good friend of mine that has several chickens and

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Speaker 1: his daughters have named the chickens, and they do seem

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Speaker 1: to have different personalities and they do. I don't, I don't.

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Speaker 1: I I'd like to hear from everybody listening just what

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Speaker 1: their experience is there, because because they seem cool to me,

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Speaker 1: I don't know, yeah, less uh far being for us

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Speaker 1: Tom a lying chicken unfairly, Um, they're not. They're not

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Speaker 1: as intelligent as Corvid's but a few few birds are

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Speaker 1: So you're right, those guys we see. We see these

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Speaker 1: depictions in film and documentaries. You might the last time

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Speaker 1: you saw a cattle might have been a brief clip

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Speaker 1: and then local news on on some with some anchor

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Speaker 1: taking note of an aspect of the economy. We encounter

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Speaker 1: the remains of these animals easily every day. We see

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Speaker 1: them in a local grocery store, we see them in

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Speaker 1: a fast food chain or in a restaurant. And in

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Speaker 1: the US, this disassociation between the thing you eat, the

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Speaker 1: thing that ends up on your plate, and a living

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Speaker 1: thing goes even further. I mean, think about it. You

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Speaker 1: will in many of the garden variety of grocery stores

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Speaker 1: you will not only see a fairly limited type of meat, right,

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Speaker 1: but you'll also see limited parts of those types thighs, breasts, chops, ribs,

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Speaker 1: ground up flesh. You might see tongue, You might see liver,

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Speaker 1: but um, you probably won't see eyes unless you go

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Speaker 1: to the cool places. Well, even tongue and and and

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Speaker 1: and liver sometimes, I mean liver is more common. I

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Speaker 1: think it's like a regular chain grocery store. But tongue

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Speaker 1: that's more of a specialty thing or something you might

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Speaker 1: see it like a carnis aurea or something like that,

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Speaker 1: or like just yeah, that's where I go. Actually, I

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Speaker 1: go Buford Highway North across de mund the Buford Highways

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Speaker 1: farmer market too. That's amazing. Get their get their pre

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Speaker 1: marinated poyo or like whatever else they do. They do

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Speaker 1: all they do it all up themselves. And they also

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Speaker 1: make fresh tortillas. They're highly recommend if anyone's ever passing through.

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Speaker 1: But like you know, even like we're talking about the

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Speaker 1: food prep, we're all I think into cooking. Um, I

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Speaker 1: might eat a tongue taco, but I don't know that

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Speaker 1: I would buy a tongue and slice it up myself

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Speaker 1: for preparation to make something that's a bridge too far

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Speaker 1: from me personally. Well, yeah, because that's some of that stuff.

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Speaker 1: It culturally is off limits, right, Yes, we don't. It's

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Speaker 1: it's fascinating because without a real concrete set of laws

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Speaker 1: and consequences in the US and Canada and many other

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Speaker 1: parts of the world, uh, cultures seem to have generated

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Speaker 1: their own. So I would call them soft taboos. Right,

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Speaker 1: No one's no one's going to arrest you freating something

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Speaker 1: they think is weird, but it's just like not done

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Speaker 1: in polite society. Uh. These taboos dictate which animals can

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Speaker 1: be eaten, which parts can be eaten, or considered you know,

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Speaker 1: normal food. So you know, we said it's uncommon to

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Speaker 1: see eyes on a menu. You might also be weirded

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Speaker 1: out if you go to your local diner or your

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Speaker 1: local hangout restaurant and they say, hey, we have a

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Speaker 1: special on foxes. Just we're out of chicken wings, so

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Speaker 1: it's it's just fox legs, or yeah, dude, seriously or brain.

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Speaker 1: Brain is a fairly common thing in some places, but

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Speaker 1: it's hard to imagine it being in many places. You know,

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Speaker 1: it's funny, you can you're absolutely right, then you can

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Speaker 1: get yeah, there's like brain fre forget the name, but

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Speaker 1: there are definitely exactly preons that can exist in brain.

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Speaker 1: But I grew up my my grandpa, who was like

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Speaker 1: an old North Carolina tobacco merchant, you know, that was

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Speaker 1: what how he made a living when he was a

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Speaker 1: young man. Um, his favorite breakfast was something called brains

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Speaker 1: and eggs, and I ate it blindly and thought it

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Speaker 1: was delicious, and only years later, separated from it, I

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Speaker 1: thought it was a little weird, but I definitely you

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Speaker 1: could buy it at the grocery store, and also liver pudding.

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Speaker 1: Ben you and I on the road trip we did

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Speaker 1: with with car stuff back in the day. Um, they

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Speaker 1: call it scrapple in certain parts of the Midwest, I believe,

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Speaker 1: or the Northwest. Uh. And it's literally kind of a

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Speaker 1: pure aid like fried patash substance made of liver, also

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Speaker 1: as pan rabbit, but mush of pork scraps. But but

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Speaker 1: you're right, brain eyes, things of this nature in some

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Speaker 1: some places, like um, one of my favorite restaurants shout out.

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Speaker 1: I don't know if they listen to the show, but St.

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Speaker 1: John in London, the guy Fergus Henderson made his name

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Speaker 1: in the culinary world by taking all that stuff that

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Speaker 1: people would usually eat pancreas awful sweetbreads and so on,

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Speaker 1: and elevating it and selling it as h hote cuisine.

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Speaker 1: But that's kind of unusual and that worked. That amazed

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Speaker 1: people because it was an unusual thing, because a lot

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Speaker 1: of people in the United Kingdom were now eating things

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Speaker 1: that they ordinarily would not have considered consumables. Like Another

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Speaker 1: example of a soft cultural taboo here in the US

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Speaker 1: is that Uh, certain animals would never be considered food.

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Speaker 1: Perish the thought. And you have offended me if you suggest,

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Speaker 1: uh that we should eat dogs or certain birds even

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Speaker 1: you know what I mean, um in cats I would

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Speaker 1: add to that list too. And we've talked about this

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Speaker 1: casually on the show. But it's an interesting line. It's

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Speaker 1: an interesting division where it's like, to your point, Matt,

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Speaker 1: you know, we sort of anthropomorphize these pigs through like

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Speaker 1: movies and animated things are like you know, deer in

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Speaker 1: Bambi or rabbit, Like rabbits okay to eat, but dogs

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Speaker 1: not okay to eat. You both are kept as pets

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Speaker 1: and both are considered cute. So, like, the line is

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Speaker 1: interesting and confusing to me. I'm not saying we should

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Speaker 1: go eat horse or whatever, but um, I know that

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Speaker 1: in certain Asian countries that's totally fine. So the taboos

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Speaker 1: of these things it eludes me a little bit, and

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Speaker 1: it seems like a little bit of a double stand.

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Speaker 1: I'm interested to see what you guys think about them.

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Speaker 1: I don't know. I think maybe you just looked at

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Speaker 1: different parts of the world historically, and you know what

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Speaker 1: what are considered, what what animals are, what foods are

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Speaker 1: considered taboo. A lot of it can can have historical

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Speaker 1: religious relevance as to why you don't eat something like,

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Speaker 1: let's a uh, if you're if you live in a

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Speaker 1: country that has a large number of people who identify

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Speaker 1: as Muslim or follow you know, Islam, there, you're not

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Speaker 1: gonna be eating pork. Um what what are what are

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Speaker 1: some of the other examples of that. India, very large

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Speaker 1: percent of population practices Hinduism, So cows are considered sacred

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Speaker 1: rather than livestock. What's interesting about those two examples in

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Speaker 1: those those cultures, Uh, the animals are left kind of

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Speaker 1: alone for very different reasons. In one the animal, the cow,

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Speaker 1: is considered sacred in a way, and in the other one,

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Speaker 1: the big is just considered unclean and gross and it's

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Speaker 1: a wrong to even mess with them totally. And and

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Speaker 1: and to to your original point about looking elsewhere in

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Speaker 1: the country to for for these kind of taboos. In Iceland,

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Speaker 1: a traditional dish is boiled sheep's head and you eat

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Speaker 1: the whole thing, the ears, the eyes, the lips, the

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Speaker 1: you know, all of that stuff. And then in this

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Speaker 1: article from the Salt from npr UM, someone asked the

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Speaker 1: individual describing this well, where's the brain, to which they

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Speaker 1: were looked at with a gasp kind of light horror,

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Speaker 1: like we would never eat the brain, but the eyeballs

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Speaker 1: and the lips and the face totally fine. I don't

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Speaker 1: want to keep us off topic too long because a

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Speaker 1: long time listeners, as you know, the three of us

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Speaker 1: can sit around and talk about food forever because we

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Speaker 1: love it. Sorry about it, No, no, no, I'm sorry.

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Speaker 1: There's there's one. I'm sorry it advanced because there's one

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Speaker 1: other thing I have to shout out. I'm fascinated by it.

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Speaker 1: It's the Iranian sheep head soup and it's the it's

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Speaker 1: the sheep's head with the brain, just in case you're

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Speaker 1: gonna Arsenal and Trotter's and it's there there the shops

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Speaker 1: set up that only served this soup, and they're only

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Speaker 1: open from like three am to seven am or something.

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Speaker 1: It's on my bucket list for Terran and as not

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Speaker 1: that you do with today's show, unless you want to

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Speaker 1: send us some examples of collie bods here, send us

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Speaker 1: examples of um regional foods in your neck of the

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Speaker 1: global woods that you think other people might be surprised by.

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Speaker 1: No judgment, because again these rules are not constant, they change,

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Speaker 1: you know what I mean, horsemeat is popular in some

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Speaker 1: parts of Europe and it's considered taboo in many parts

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Speaker 1: of the US. So we can explain part of this

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Speaker 1: weird what is or is not livestock phenomenon through a

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Speaker 1: cultural lens. But then we also have to, you know,

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Speaker 1: note that there are people who object to the consumption

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Speaker 1: of certain animals. Might be a pest catarian no mammals

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Speaker 1: for you, but fish or fine, or they object to

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Speaker 1: the consumption of all animals. And there are other factors

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Speaker 1: at play here aside from cultural factors. And you know,

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Speaker 1: we have to look at where these folks are coming from,

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Speaker 1: because people don't usually do stuff without some sort of

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Speaker 1: internal logic. So one their health concerns. You're you know,

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Speaker 1: you're in your mid fifties. You've lived a satiating, gluttonous life,

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Speaker 1: and your doctor says, look bad. You have to either

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Speaker 1: break up with bacon or break up with the idea

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Speaker 1: that you're going to live to be eighty years old,

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Speaker 1: and then boom, you know, And and part of the

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Speaker 1: same coin, there is a younger person who has learned

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Speaker 1: about the most recent you know, nutritional facts or something

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Speaker 1: in school or by a friend or something, and then

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Speaker 1: they're choosing not to do that, right, but for the

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Speaker 1: same reasons, for health reasons. The next one, Ben, I

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Speaker 1: would say, is really the heart of what this episode

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Speaker 1: is any emotional revulsion to the whole processor, or to

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Speaker 1: one part of the process, or just to the thought

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Speaker 1: at all of eating an animal. Right, Yeah, I mean no, fully, Matt.

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Speaker 1: There are people who watched Babe at a young age,

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Speaker 1: and probably decades later, I think I could never eat pork.

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Speaker 1: I loved Babe. I have the Blue Ray. What kind

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Speaker 1: of person would I be? I watched the Pig in

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Speaker 1: the City director's commentary once a year. You know. Yeah,

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Speaker 1: well in this you know, and I guess you could

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Speaker 1: categorize that in two ways, revulsion at the thought of

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Speaker 1: eating the animal, but then the other one, which we're

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Speaker 1: gonna give you a little caveat here, a lot of

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Speaker 1: what we're gonna talk about following this moment in the episode.

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Speaker 1: There's gonna be cruelty to animals in here. There's gonna

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Speaker 1: be in humane conditions we're gonna discuss. There's gonna be

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Speaker 1: a lot of things that's gonna be unpleasant unsettling. So

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Speaker 1: if you don't like that stuff, or you know it's

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Speaker 1: gonna trigg you trigger you for some reason, go ahead

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Speaker 1: and pause here. The other reason is people object to

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Speaker 1: the cruelty that or the pain that could be involved

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Speaker 1: in the process in a factory, farm or some other

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Speaker 1: setting setting where animals are raised specifically for food. Yeah,

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Speaker 1: you're right, because research proves that some of these animals

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Speaker 1: can indeed experience emotional states similar to the emotional states

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Speaker 1: of a human being, like if you have a if

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Speaker 1: you have a dog, then you know that your dog

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Speaker 1: has moods, tread, elections of personality. Cattle and pigs are

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Speaker 1: the are the same way. They can experience things like grief, joy, pain,

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Speaker 1: and so on. Of course, we don't want to anthropomorphize.

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Speaker 1: These are not humans, right um, but they are still mammals.

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Speaker 1: So the structure of their brain is similar, which means

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Speaker 1: that the traffic patterns, if you want to think of

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Speaker 1: neural activity that way, are in a way similar. I

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Speaker 1: propos as we pause for a word from our sponsor,

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Speaker 1: I wonder who it's going to be this time, and

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Speaker 1: there will be, and then we'll be back to examine this.

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Speaker 1: And I know, just briefly to add what Matt just said.

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Speaker 1: We know that sometimes people get uh put off by

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Speaker 1: these kind of examinations because they might feel like it's preachy,

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Speaker 1: or it might feel like we're telling you to do things.

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Speaker 1: But as you know, that is not the job of

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Speaker 1: this show and has never been the mission of this show.

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Speaker 1: We want to want to bring you the facts and

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Speaker 1: then some frightening speculation right at the end. So so

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Speaker 1: we'll be right back. We're back. So that last point

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Speaker 1: we left on the idea that some people object to

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Speaker 1: the consumption of meat because they they do not feel

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Speaker 1: comfortable or perhaps they don't feel ethical when they've imagined

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Speaker 1: that they are some way they're in some way contributing

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Speaker 1: to the unnecessary pain of another living thinking thing as

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Speaker 1: a controversial stance, because look, we've got on one side

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Speaker 1: of the argument. People have chosen to minimize as much

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Speaker 1: as possible their participation what they see as animal cruelty um,

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Speaker 1: and they may, in addition to abstaining from summer all

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Speaker 1: types of meat, they may also refuse to wear clothing

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Speaker 1: from animal products. They may also say, look, dairy, I'm

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Speaker 1: just I'm not into it either, and dairy is weird.

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Speaker 1: I get it. Cheese is awesome. But if you explained

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Speaker 1: to another species what milk is, the fact that we're

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Speaker 1: down with it, it would be kind of weird that

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Speaker 1: it'd be weird. It would be a weird moment in

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Speaker 1: extraterrestrial relations. I do feel weird giving it to my son.

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Speaker 1: Every morning he wants milk. I give him milk, and

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Speaker 1: I just think about it. I get the container and

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Speaker 1: I just go, Okay, think of the calcium he's that

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Speaker 1: kid is, by the way, folks growing at a breakneck pace.

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Speaker 1: You got to feed the engine there. But but there's

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Speaker 1: you know, there's another side. So that's like what let's

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Speaker 1: call that one extreme, one extreme end of the spectrum.

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Speaker 1: On the other side of that spectrum, there are individuals

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Speaker 1: and organizations who are saying, you know, yeah, this system,

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Speaker 1: if you want to think of it as a system,

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Speaker 1: it may not be perfect, but it works. And some

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Speaker 1: of these changes they want to do, although it might

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Speaker 1: make you feel good as a person wants these changes,

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Speaker 1: they're just not economically feasible. We can't instantly do this

427
00:25:42,200 --> 00:25:47,000
Speaker 1: and without wrecking the entire house of cards. And then,

428
00:25:47,240 --> 00:25:50,280
Speaker 1: you know, typically people on that end of the spectrum

429
00:25:50,359 --> 00:25:53,200
Speaker 1: would say, we can roll some of these changes out

430
00:25:53,359 --> 00:26:00,359
Speaker 1: slowly over given time span. But in general this I

431
00:26:00,520 --> 00:26:02,680
Speaker 1: love to hear what you guys think about this. In general,

432
00:26:02,920 --> 00:26:08,439
Speaker 1: we find that if you remove every fact, every financial

433
00:26:08,600 --> 00:26:12,639
Speaker 1: economic factor, and you ask people, you know, what do

434
00:26:12,680 --> 00:26:16,720
Speaker 1: you think about the lives these animals, then people seem

435
00:26:16,800 --> 00:26:19,959
Speaker 1: on board with improving them in numbers that surprised me,

436
00:26:20,000 --> 00:26:23,320
Speaker 1: although I did pull from what very biased study just

437
00:26:23,359 --> 00:26:26,440
Speaker 1: to be completely transparent from the A s p c.

438
00:26:26,600 --> 00:26:31,919
Speaker 1: A Yes, oh yeah, let's let's go through. Let's go

439
00:26:32,000 --> 00:26:35,119
Speaker 1: through what it found. First of all, the vast majority

440
00:26:35,720 --> 00:26:39,440
Speaker 1: of Americans are in fact concerned with the whole industry

441
00:26:39,480 --> 00:26:43,600
Speaker 1: of industrial animal agriculture. This idea of animal cruelty is

442
00:26:43,680 --> 00:26:47,360
Speaker 1: top of mind there um. People want to make sure

443
00:26:47,400 --> 00:26:52,080
Speaker 1: that animals are treated humanely. Also workers safety, and of

444
00:26:52,119 --> 00:26:56,159
Speaker 1: course another biggie being public health also came up as

445
00:26:56,200 --> 00:27:00,000
Speaker 1: top concerns. Farmers who are surveyed who participated in the

446
00:27:00,000 --> 00:27:03,760
Speaker 1: survey seemed on board as well, um, with eight five

447
00:27:04,320 --> 00:27:08,080
Speaker 1: of farmers and their families supporting a complete ban on

448
00:27:08,320 --> 00:27:13,159
Speaker 1: new industrial animal agriculture facilities, which is almost twice the

449
00:27:13,240 --> 00:27:16,040
Speaker 1: level of support that was expressed by the public. Which

450
00:27:16,080 --> 00:27:19,520
Speaker 1: is fascinating but also makes sensense. They're so close to it,

451
00:27:19,520 --> 00:27:21,120
Speaker 1: and those things you mentioned at the top of the show,

452
00:27:21,160 --> 00:27:24,280
Speaker 1: ben about how this can affect their livelihood and the

453
00:27:24,320 --> 00:27:26,639
Speaker 1: idea of more competition, that's certainly a part of it

454
00:27:26,680 --> 00:27:31,600
Speaker 1: as well. UM of respondents believe that the government should

455
00:27:31,840 --> 00:27:38,480
Speaker 1: mandate slower slaughter speeds to protect workers, animals, or public health.

456
00:27:38,600 --> 00:27:40,000
Speaker 1: This one's a little confusing to me. I think we

457
00:27:40,040 --> 00:27:43,680
Speaker 1: should unpack this. They're not talking about slow motion killing

458
00:27:43,720 --> 00:27:46,440
Speaker 1: the That's okay, just making sure because I think that

459
00:27:46,440 --> 00:27:49,040
Speaker 1: would be the opposite of that. Yeah, let's just torture

460
00:27:49,080 --> 00:27:52,680
Speaker 1: the animals to death. That would be more humane. UM

461
00:27:52,800 --> 00:27:55,640
Speaker 1: explained if you if you don't mind, well, I'm this

462
00:27:55,720 --> 00:27:59,760
Speaker 1: is just me spitballing, but I'm imagining that's killing fewer

463
00:28:00,040 --> 00:28:03,960
Speaker 1: number animals on a let's say daily or weekly basis

464
00:28:04,119 --> 00:28:06,920
Speaker 1: or you know, hourly basis, just depending on the time

465
00:28:06,920 --> 00:28:09,679
Speaker 1: frames that they're speaking about. There, that makes sense. That

466
00:28:09,760 --> 00:28:13,480
Speaker 1: makes sense, UM. And then or two thirds of the

467
00:28:13,520 --> 00:28:17,639
Speaker 1: public that participated report that they believe poor worker protection

468
00:28:18,040 --> 00:28:23,720
Speaker 1: and harsh working conditions UM will increase people's inhumane treatment

469
00:28:24,040 --> 00:28:27,120
Speaker 1: of farm animals, which also makes sense. Because if you're

470
00:28:27,280 --> 00:28:29,879
Speaker 1: under the gun or you feel like you're welfare is

471
00:28:29,880 --> 00:28:33,080
Speaker 1: not being looked after, Uh, you're not going to be

472
00:28:33,119 --> 00:28:35,920
Speaker 1: as careful and you're going to just try to get

473
00:28:35,960 --> 00:28:38,720
Speaker 1: the job done as quickly as possible so you can

474
00:28:38,760 --> 00:28:43,880
Speaker 1: move on. Um. Then more than half believed that this

475
00:28:44,120 --> 00:28:49,600
Speaker 1: mistreatment also increases health risks to the public. Ding Ding

476
00:28:49,680 --> 00:28:52,800
Speaker 1: Ding there it is so uh, it just real quick.

477
00:28:52,800 --> 00:28:57,120
Speaker 1: The he nailed it on slaughter speeds. The what they're

478
00:28:57,120 --> 00:28:59,440
Speaker 1: talking about is what would also be described as a

479
00:28:59,520 --> 00:29:03,000
Speaker 1: lying speed. It's how much how much volume are we

480
00:29:03,040 --> 00:29:08,000
Speaker 1: doing per you know, per processing day. And the concern

481
00:29:08,080 --> 00:29:11,000
Speaker 1: there is a little bit, i would say, less on

482
00:29:11,040 --> 00:29:16,880
Speaker 1: the individual animal and more so on the the opportunities

483
00:29:17,000 --> 00:29:20,360
Speaker 1: it raises for things to go wrong because these a

484
00:29:20,360 --> 00:29:25,040
Speaker 1: lot of these slaughter lines, especially the large industrial scale.

485
00:29:25,600 --> 00:29:28,480
Speaker 1: It's like if you've seen somebody's speed running a video

486
00:29:28,520 --> 00:29:32,239
Speaker 1: game on Twitch. It's there's not a pause, you know,

487
00:29:32,480 --> 00:29:35,280
Speaker 1: it's just a shift. There's just a shift change and

488
00:29:35,880 --> 00:29:38,920
Speaker 1: horrifying if you actually watch it at that speed. Oh

489
00:29:39,000 --> 00:29:41,480
Speaker 1: yeah yeah yeah. And of course we should know a

490
00:29:41,680 --> 00:29:46,080
Speaker 1: s p c A is far from a neutral source. Still, again,

491
00:29:46,120 --> 00:29:50,960
Speaker 1: there appears to be wide support with with the statistics

492
00:29:51,080 --> 00:29:53,000
Speaker 1: you you just brought in snow. There seems to be

493
00:29:53,000 --> 00:29:56,720
Speaker 1: wide support in the public in general to say like, hey,

494
00:29:56,800 --> 00:29:59,479
Speaker 1: if it's no skin off my back, you know, if

495
00:29:59,480 --> 00:30:02,200
Speaker 1: it's no bay get off my burger, then yeah, I

496
00:30:02,280 --> 00:30:05,440
Speaker 1: don't want to torture animals. It's pretty basically, it's not

497
00:30:05,520 --> 00:30:08,160
Speaker 1: a controversial stance. Now, correct me if I'm wrong. Then,

498
00:30:08,240 --> 00:30:12,959
Speaker 1: But are our slaughter houses still, um manually killing cattle

499
00:30:13,120 --> 00:30:15,600
Speaker 1: with those bolt guns that we are so fond of,

500
00:30:15,800 --> 00:30:19,600
Speaker 1: especially when they're used as like murder weapons by sociopaths

501
00:30:19,640 --> 00:30:23,080
Speaker 1: in uh in movies. Um it's you know, they're like

502
00:30:23,080 --> 00:30:25,880
Speaker 1: an air powered bolt gun that shoots out a large

503
00:30:25,920 --> 00:30:29,640
Speaker 1: projectile through the cow's brain, instantly killing it and then

504
00:30:29,640 --> 00:30:32,320
Speaker 1: pulling it back. It depends, It depends on where you

505
00:30:32,320 --> 00:30:36,480
Speaker 1: are right and which factory, and again that technological advancement,

506
00:30:36,520 --> 00:30:39,760
Speaker 1: like where are you on the line or the timeline

507
00:30:39,800 --> 00:30:42,800
Speaker 1: of advancing Because that part of the of the slaughterhouse

508
00:30:42,880 --> 00:30:45,920
Speaker 1: is called the killing floor, which I've always found that

509
00:30:45,960 --> 00:30:48,640
Speaker 1: to be a very eerie name. And I imagine if

510
00:30:48,680 --> 00:30:52,440
Speaker 1: you're moving through a lot of cattle, um, that killing

511
00:30:52,440 --> 00:30:57,200
Speaker 1: floor could be absolutely soaked in blood. Pretty quickly, And

512
00:30:57,200 --> 00:30:59,280
Speaker 1: I wonder if that's something where that could cause like

513
00:30:59,720 --> 00:31:03,480
Speaker 1: fall all hazards or ways of you know, perhaps being

514
00:31:03,520 --> 00:31:06,520
Speaker 1: injured by some of these high powered equipped machines. You know,

515
00:31:06,560 --> 00:31:08,560
Speaker 1: I don't know, Like I'm wondering, like, how does the

516
00:31:08,640 --> 00:31:13,800
Speaker 1: volume increase the danger to the employees. Yeah, yeah, you're

517
00:31:13,800 --> 00:31:16,280
Speaker 1: absolutely right. Well, you're we're talking about there with the

518
00:31:16,360 --> 00:31:23,200
Speaker 1: bolt or with anton sugar is the is the mechanical

519
00:31:23,600 --> 00:31:27,840
Speaker 1: method you're studying the animal. So there there are a

520
00:31:27,920 --> 00:31:30,800
Speaker 1: number of other methods that have been used, and as

521
00:31:30,840 --> 00:31:33,320
Speaker 1: you said, Matt, it does vary from place to place.

522
00:31:33,400 --> 00:31:36,600
Speaker 1: A lot of places, a lot of countries have laws

523
00:31:36,680 --> 00:31:42,320
Speaker 1: that ostensibly determine how how an animals should be slaughtered

524
00:31:42,400 --> 00:31:46,920
Speaker 1: or processed. And those laws are i would say, primarily

525
00:31:47,040 --> 00:31:50,800
Speaker 1: centered on health concerns for humans. It's a very important thing.

526
00:31:51,280 --> 00:31:53,600
Speaker 1: And of course, you know, this is a concept that

527
00:31:53,800 --> 00:31:58,120
Speaker 1: is not new. It's not something that modern civilization came

528
00:31:58,200 --> 00:32:04,960
Speaker 1: up with. Ancient religio have very specific rules about which

529
00:32:05,000 --> 00:32:07,520
Speaker 1: animals can be consumed and how and how they should

530
00:32:07,560 --> 00:32:10,720
Speaker 1: be slaughtered. And if you look back at those rules

531
00:32:10,800 --> 00:32:14,280
Speaker 1: through the modern lens, then you see that they're actually

532
00:32:14,560 --> 00:32:18,800
Speaker 1: their plans for good hygiene, to prevent the spread of disease. Yeah,

533
00:32:18,840 --> 00:32:22,600
Speaker 1: and that's it's it's so fascinating. That's what it's been about.

534
00:32:22,640 --> 00:32:25,280
Speaker 1: Even some of the ancient rules that you could find

535
00:32:25,280 --> 00:32:28,680
Speaker 1: in the Bible about certain things to wear or eat,

536
00:32:28,800 --> 00:32:34,160
Speaker 1: it was, in a way, in many cases a health situation.

537
00:32:35,160 --> 00:32:38,760
Speaker 1: It's very strange. I always wanted to read to read that,

538
00:32:39,360 --> 00:32:41,840
Speaker 1: to read some of those texts into modern parlance, just

539
00:32:41,920 --> 00:32:50,360
Speaker 1: like rewritten to say avoiding trickin nosis verse one. It's

540
00:32:50,360 --> 00:32:55,200
Speaker 1: like the best just Leviticus is now, that is fascinating.

541
00:32:55,320 --> 00:32:58,000
Speaker 1: I didn't realize that the bolt gun just stunned the

542
00:32:58,040 --> 00:33:00,200
Speaker 1: animal because you see it used, you know, and in

543
00:33:00,360 --> 00:33:04,000
Speaker 1: movies as an instant kill me. But it is, You're right.

544
00:33:04,040 --> 00:33:06,680
Speaker 1: It just goes into their forehead and typically stuns them

545
00:33:06,680 --> 00:33:10,480
Speaker 1: after one hit, very rarely after two, and then they're

546
00:33:10,560 --> 00:33:13,040
Speaker 1: hung upside down and their throats are slashed and they're

547
00:33:13,040 --> 00:33:17,720
Speaker 1: bled out, and then processing commences from there. May also

548
00:33:17,760 --> 00:33:22,120
Speaker 1: be electrically shocked. You know. That is still a stunning move.

549
00:33:22,800 --> 00:33:26,960
Speaker 1: But here's our question, what exactly goes on behind the scenes.

550
00:33:27,480 --> 00:33:31,000
Speaker 1: What are these animals lives like and what does that

551
00:33:31,040 --> 00:33:37,200
Speaker 1: mean for human beings spoiler, whether or not you consider

552
00:33:37,240 --> 00:33:40,240
Speaker 1: yourself a meat eat or whether or not you care

553
00:33:40,280 --> 00:33:43,600
Speaker 1: in general? How does this affect you. Here's where it

554
00:33:43,640 --> 00:33:47,960
Speaker 1: gets crazy. Let's do the gross part first. Let's focus

555
00:33:48,200 --> 00:33:51,840
Speaker 1: on a factory farm. Let's focus on accow. As a

556
00:33:51,880 --> 00:33:53,800
Speaker 1: matter of fact, do you guys want to style on

557
00:33:53,840 --> 00:33:55,840
Speaker 1: it a little? Do we want to give this cow

558
00:33:55,880 --> 00:34:01,920
Speaker 1: a name? Myrtle? Myrtle? Okay, so Myrtle the cow? Uh?

559
00:34:02,080 --> 00:34:06,800
Speaker 1: Myrtle the cow is born in old school like think

560
00:34:06,800 --> 00:34:10,440
Speaker 1: of pastoral scenes from your favorite hit works of historical fiction.

561
00:34:10,520 --> 00:34:15,920
Speaker 1: In old school farms, cow can roam free and and

562
00:34:16,080 --> 00:34:18,840
Speaker 1: have a normal lifespan of about twenty five years or

563
00:34:18,880 --> 00:34:22,200
Speaker 1: so if it's not slaughtered for food h if nothing

564
00:34:22,239 --> 00:34:26,840
Speaker 1: goes wrong. Cattle raised for beef. Let's say Myrtle is

565
00:34:26,920 --> 00:34:29,799
Speaker 1: raised for beef. In this situation, she is one of

566
00:34:29,840 --> 00:34:34,160
Speaker 1: about forty one million cows raised this way in the US,

567
00:34:34,200 --> 00:34:37,680
Speaker 1: so she has pretty good odds of spending her first

568
00:34:37,760 --> 00:34:42,120
Speaker 1: year on the range, walking around in the field, eating grass,

569
00:34:42,640 --> 00:34:46,800
Speaker 1: moving it's stuff, playing because cows played. And then after

570
00:34:46,840 --> 00:34:51,000
Speaker 1: that year, Myrtle and her cohort are shipped to something

571
00:34:51,120 --> 00:34:56,880
Speaker 1: called a concentrated animal feeding operation or cafoa, the oldfo.

572
00:34:57,440 --> 00:34:59,520
Speaker 1: This is what you'll you'll hear referred to as a

573
00:34:59,560 --> 00:35:01,480
Speaker 1: stock or a lot of times if you ever hear

574
00:35:01,600 --> 00:35:06,759
Speaker 1: that word feed lot sometimes um. And you know, by

575
00:35:06,760 --> 00:35:08,799
Speaker 1: the way, it does make a difference if myrtle is

576
00:35:08,840 --> 00:35:12,920
Speaker 1: male or female, because many times the female is going

577
00:35:12,960 --> 00:35:18,840
Speaker 1: to be dealing dealing with a whole different set of issues.

578
00:35:19,360 --> 00:35:21,360
Speaker 1: If it's a male, we'll talk about that too. But

579
00:35:22,120 --> 00:35:26,000
Speaker 1: the biggest problem at these places is overcrowding. Many times,

580
00:35:26,040 --> 00:35:30,319
Speaker 1: not always, but at many factory farm operations, overcrowding is

581
00:35:30,320 --> 00:35:34,440
Speaker 1: the worst thing because things become an unsanitary very quickly

582
00:35:34,640 --> 00:35:39,759
Speaker 1: for the cattle and UM a lot of times. To

583
00:35:39,760 --> 00:35:43,160
Speaker 1: save money, depending on the operation, different kinds of feed

584
00:35:43,200 --> 00:35:46,560
Speaker 1: will be used. Corn has been a big issue. I

585
00:35:46,600 --> 00:35:49,080
Speaker 1: think we've talked about that on an episode before when

586
00:35:49,120 --> 00:35:53,799
Speaker 1: we were talking about the various uses of corn. But yeah, yeah,

587
00:35:53,920 --> 00:35:56,760
Speaker 1: I know we made a video about it at some point.

588
00:35:57,120 --> 00:36:00,239
Speaker 1: Cords and everything, Cords is everything. Before they show the

589
00:36:00,239 --> 00:36:03,000
Speaker 1: podcast down, you have to know, if you travel to

590
00:36:03,040 --> 00:36:05,960
Speaker 1: the US, UH and you're not from here, you will

591
00:36:06,000 --> 00:36:11,239
Speaker 1: be amazed by how many ingredient list various products have

592
00:36:11,440 --> 00:36:15,160
Speaker 1: somehow have corn in the mix corners everywhere. It's like, um,

593
00:36:15,200 --> 00:36:19,040
Speaker 1: it's like the Kevin Bacon of the cast of of

594
00:36:19,120 --> 00:36:22,120
Speaker 1: an ingredient list anyway. Yeah, and it's not even the

595
00:36:22,160 --> 00:36:24,239
Speaker 1: good kind. It's not those sweet kernels that you can

596
00:36:24,280 --> 00:36:27,120
Speaker 1: get in the can, you know, those delicious ones are

597
00:36:27,160 --> 00:36:30,000
Speaker 1: that are in the what is it? The creamed corn? Oh? Man?

598
00:36:30,040 --> 00:36:33,319
Speaker 1: When I was a kid, creamed corn? You were a

599
00:36:33,320 --> 00:36:36,000
Speaker 1: cream corn kid. I was a cream corn kid because

600
00:36:36,000 --> 00:36:37,800
Speaker 1: you can make so many things out of it, especially

601
00:36:37,800 --> 00:36:41,759
Speaker 1: if you were baking with it. A good stuff. Okay, Uh,

602
00:36:41,840 --> 00:36:46,439
Speaker 1: where what am I talking about? The miserable the feed? Yeah,

603
00:36:46,480 --> 00:36:49,359
Speaker 1: all of these things combined together can can make a

604
00:36:49,360 --> 00:36:54,000
Speaker 1: pretty miserable existence for an individual animal. And then you

605
00:36:54,000 --> 00:36:56,879
Speaker 1: take all of that misery together in one big place

606
00:36:57,040 --> 00:37:03,400
Speaker 1: in these stockyards. Yikes, guys, Is is it true that um,

607
00:37:03,520 --> 00:37:07,560
Speaker 1: some more sickly cows that perhaps die before they get

608
00:37:07,560 --> 00:37:11,440
Speaker 1: to the feed law are destroyed and ground up and

609
00:37:11,640 --> 00:37:14,640
Speaker 1: made into feed that can be fed to other cows.

610
00:37:14,680 --> 00:37:18,400
Speaker 1: Isn't that supposedly where mad cow disease came from? This practice?

611
00:37:18,560 --> 00:37:23,960
Speaker 1: Or is that just stuff? Yeah? It gets it gets rough, man,

612
00:37:24,080 --> 00:37:26,480
Speaker 1: because you know a lot of these animals are living

613
00:37:26,640 --> 00:37:31,600
Speaker 1: a very challenging life. And we can introduce this concept now,

614
00:37:32,640 --> 00:37:35,239
Speaker 1: you know how you'll see like U s D A

615
00:37:35,280 --> 00:37:38,239
Speaker 1: Grade A prime or U s D A blah blah

616
00:37:38,280 --> 00:37:41,560
Speaker 1: blah when you're in the grocery store. The far end

617
00:37:41,600 --> 00:37:45,759
Speaker 1: of that is what's called four D meat, meat from

618
00:37:45,800 --> 00:37:50,840
Speaker 1: animals that are dead or they're disabled upon their arrival

619
00:37:51,000 --> 00:37:54,880
Speaker 1: at the slaughterhouse and they end up you might see

620
00:37:54,960 --> 00:37:58,320
Speaker 1: their their bodies. They're considered not fit for human consumption,

621
00:37:58,360 --> 00:38:01,720
Speaker 1: but they they end up pet food right or they're

622
00:38:01,760 --> 00:38:06,200
Speaker 1: rendered or they're used to feed animals and zoos and

623
00:38:06,239 --> 00:38:09,279
Speaker 1: things like that. For sure. And and after doing a

624
00:38:09,280 --> 00:38:13,320
Speaker 1: little more research, um, it does appear that the mad

625
00:38:13,400 --> 00:38:18,759
Speaker 1: cow disease or bovine UH sponge off form and sepalopathy

626
00:38:19,239 --> 00:38:24,360
Speaker 1: or BSc it involved the feeding of cattle parts to

627
00:38:24,800 --> 00:38:29,680
Speaker 1: cattle and it did lead to some restrictions on which

628
00:38:29,840 --> 00:38:33,279
Speaker 1: parts of cattle can be fed back to cattle. But

629
00:38:33,400 --> 00:38:38,080
Speaker 1: there is still some of that happening, um, things like hoofs,

630
00:38:38,120 --> 00:38:43,320
Speaker 1: ground up bone and other you know, remnant parts from

631
00:38:43,360 --> 00:38:45,520
Speaker 1: you know, because they don't want to waste anything. But yeah,

632
00:38:45,560 --> 00:38:48,160
Speaker 1: that is a thing, and that's pretty serving. That's a

633
00:38:48,160 --> 00:38:51,880
Speaker 1: good idea. Let's let's force the herbivores to consume themselves.

634
00:38:51,920 --> 00:38:54,840
Speaker 1: That's great. Not only is it cannibalism, it's not something

635
00:38:54,880 --> 00:39:00,239
Speaker 1: they would ever eat in the wild. It's yeah, well case,

636
00:39:00,320 --> 00:39:04,239
Speaker 1: let's okay. So back to myrtle. Myrtle is a beef cow.

637
00:39:04,640 --> 00:39:08,879
Speaker 1: There there are two things happen. If myrtle is whether

638
00:39:08,960 --> 00:39:12,120
Speaker 1: or not myrtle is male or female, she's going to

639
00:39:12,200 --> 00:39:14,680
Speaker 1: get an I D tag popped in her ear. That

640
00:39:14,719 --> 00:39:18,400
Speaker 1: makes sense. Everybody's seen that. If she's mailed, then her

641
00:39:18,440 --> 00:39:21,279
Speaker 1: testicles will be removed, her horns will be gouged out.

642
00:39:21,400 --> 00:39:26,800
Speaker 1: This occurs without anesthesia. It's a cost cutting measure. And

643
00:39:26,840 --> 00:39:30,160
Speaker 1: like you said, Matt, the the main problem here is

644
00:39:30,200 --> 00:39:34,680
Speaker 1: the intensely crowded conditions. This is a perfect storm for

645
00:39:34,800 --> 00:39:39,680
Speaker 1: bacteria and infections, and to combat that, cows are injected

646
00:39:39,800 --> 00:39:44,080
Speaker 1: with heavy doses of antibiotics as well as hormones. The

647
00:39:44,239 --> 00:39:47,840
Speaker 1: entire goal of these injections is to keep the animals

648
00:39:47,920 --> 00:39:52,600
Speaker 1: relatively healthy and to ensure that they can survive up

649
00:39:52,760 --> 00:39:56,600
Speaker 1: until the time of their slaughter. This is going to

650
00:39:56,680 --> 00:39:59,840
Speaker 1: be important later. Just remember that part. I think you

651
00:40:00,000 --> 00:40:01,839
Speaker 1: know if you heard episode one, you you know where

652
00:40:01,840 --> 00:40:05,239
Speaker 1: we're going. So now to to the slaughter house. Not

653
00:40:05,360 --> 00:40:07,719
Speaker 1: the eminem sponsored hip hop group, which I think is

654
00:40:07,760 --> 00:40:11,120
Speaker 1: pretty good. Uh, the actual slaughter house where the cattle

655
00:40:11,160 --> 00:40:15,200
Speaker 1: meet their end. So after leaving that feed lot or

656
00:40:15,520 --> 00:40:19,600
Speaker 1: stockyard or or or cafoe, the cattle are then shipped

657
00:40:19,600 --> 00:40:23,640
Speaker 1: to the slaughter houses. Um and technically only the animals

658
00:40:23,680 --> 00:40:27,440
Speaker 1: that are able to walk to their own slaughter are

659
00:40:27,480 --> 00:40:31,160
Speaker 1: in fact slaughtered. UM Cattle that are too weak or

660
00:40:31,200 --> 00:40:34,279
Speaker 1: who aren't able to get up our youthanized so they

661
00:40:34,280 --> 00:40:39,120
Speaker 1: do not reach the food production process. UM. That could

662
00:40:39,120 --> 00:40:41,600
Speaker 1: be for various reasons because they're too they're not they're

663
00:40:41,600 --> 00:40:45,080
Speaker 1: not beefy enough to make beef, or they could be sickly.

664
00:40:45,560 --> 00:40:47,520
Speaker 1: There's there's you know, they don't want to introduce that

665
00:40:47,760 --> 00:40:52,160
Speaker 1: into the food supply chain. However, each animal, this is

666
00:40:52,200 --> 00:40:55,520
Speaker 1: something that you know, we we think about the business

667
00:40:55,560 --> 00:41:00,719
Speaker 1: of this. Each individual animal represents money, represents a dollar

668
00:41:00,760 --> 00:41:07,640
Speaker 1: amount of financial investment to various people stakeholders along the

669
00:41:08,080 --> 00:41:12,319
Speaker 1: supply chain. UM. So these animals may be prodded to

670
00:41:12,400 --> 00:41:17,320
Speaker 1: stand upright and forced to stagger into the slaughterhouse despite

671
00:41:17,360 --> 00:41:20,759
Speaker 1: not being fit for consumption, and if they can't make it,

672
00:41:21,160 --> 00:41:25,400
Speaker 1: they may be just left for dead. That's myrtle's life

673
00:41:25,600 --> 00:41:28,760
Speaker 1: as a cow raised for beef. But let's say myrtle

674
00:41:28,840 --> 00:41:31,719
Speaker 1: is a cow raised for dairy. What's like there, Well,

675
00:41:31,880 --> 00:41:34,919
Speaker 1: she will be kept in indoor facilities. She'll be fed

676
00:41:34,960 --> 00:41:38,440
Speaker 1: and watered. She will not go outside to graze. Uh.

677
00:41:38,480 --> 00:41:42,880
Speaker 1: There is a mechanical process used to remove her urine feces. UH.

678
00:41:43,040 --> 00:41:46,240
Speaker 1: The milk from her utters is removed by machines hooked

679
00:41:46,239 --> 00:41:49,680
Speaker 1: to the utters. Of course, her tail will be docked

680
00:41:50,160 --> 00:41:54,120
Speaker 1: so that it's easier for dairy workers to hook up

681
00:41:54,160 --> 00:41:58,440
Speaker 1: the machines. UH. And this this surgery is also without

682
00:41:58,440 --> 00:42:01,920
Speaker 1: the use of anesthesia. Unstudies show that it does. It

683
00:42:02,000 --> 00:42:05,319
Speaker 1: does induce lasting chronic pain. Just to run through the

684
00:42:05,400 --> 00:42:08,720
Speaker 1: last one, the last possible, one of the last possibilities veal.

685
00:42:09,000 --> 00:42:14,360
Speaker 1: Let's say myrtle is a particularly unlucky male calf myrtle.

686
00:42:14,480 --> 00:42:18,680
Speaker 1: The male myrtle will be taken from the mother, either

687
00:42:18,719 --> 00:42:21,120
Speaker 1: at birth or within the first twenty four hours or so,

688
00:42:21,840 --> 00:42:24,440
Speaker 1: placed in what's called a veal crate. Veal create is

689
00:42:24,480 --> 00:42:28,359
Speaker 1: about two inches wide about fifty eight inches long. UH.

690
00:42:28,400 --> 00:42:32,480
Speaker 1: They will spend their entire lives there, uh, chained up

691
00:42:32,480 --> 00:42:34,640
Speaker 1: in the crate because the whole thing about veal is

692
00:42:34,680 --> 00:42:37,680
Speaker 1: restricting movement of the animal, right, because it makes them

693
00:42:37,680 --> 00:42:41,440
Speaker 1: more tender, right, that's correct, and kept in near total

694
00:42:41,520 --> 00:42:45,680
Speaker 1: darkness and then slaughtered approximately eighteen to twenty weeks. It

695
00:42:45,760 --> 00:42:49,799
Speaker 1: reminds me of the scene in American Gods where you

696
00:42:49,840 --> 00:42:54,719
Speaker 1: see a child raised in darkness with no interaction and

697
00:42:54,719 --> 00:42:59,000
Speaker 1: then eventually when they are brought forth, they are killed

698
00:42:59,040 --> 00:43:01,839
Speaker 1: in a sacrifice. And that shows coming back. Actually, I've

699
00:43:01,880 --> 00:43:04,239
Speaker 1: been seeing promos for it. It It got picked up by

700
00:43:04,280 --> 00:43:06,680
Speaker 1: another network, I think it was on Stars, and then

701
00:43:06,760 --> 00:43:09,399
Speaker 1: got canceled, and now it appears to be back. I

702
00:43:09,440 --> 00:43:11,200
Speaker 1: can't recall which network it's on, but I was glad

703
00:43:11,200 --> 00:43:12,759
Speaker 1: to see that because I thought that was very well done.

704
00:43:12,960 --> 00:43:15,960
Speaker 1: Obviously big fans of the book as well. Um, so,

705
00:43:16,080 --> 00:43:18,120
Speaker 1: what what does all this mean? What does all this

706
00:43:18,200 --> 00:43:22,480
Speaker 1: amount to in terms of how one should view the

707
00:43:22,480 --> 00:43:25,839
Speaker 1: food production process? Is it safe? Is it humane? Like?

708
00:43:25,920 --> 00:43:29,239
Speaker 1: What where does this leave us? Will tell you after

709
00:43:29,280 --> 00:43:39,160
Speaker 1: a word from our sponsor, we're back. We're back, and

710
00:43:39,239 --> 00:43:41,319
Speaker 1: you know, we don't want to be sanctimonious, we don't

711
00:43:41,320 --> 00:43:44,880
Speaker 1: want to be preachy because Honestly, that doesn't That doesn't

712
00:43:44,960 --> 00:43:49,239
Speaker 1: change stuff in my opinion, the facts of this. Obviously,

713
00:43:49,360 --> 00:43:52,160
Speaker 1: this is not the kind of life myrtle or any

714
00:43:52,239 --> 00:43:57,319
Speaker 1: animal would choose, unless it was a particularly disturbed cow. Uh.

715
00:43:57,560 --> 00:43:59,120
Speaker 1: If it had the choice, it would be like, no,

716
00:43:59,280 --> 00:44:00,680
Speaker 1: I don't I don't want to do this. I want

717
00:44:00,719 --> 00:44:02,479
Speaker 1: to be in the veil crate and get your weird

718
00:44:02,560 --> 00:44:06,239
Speaker 1: machine away from my uditors. And obviously, given the opportunity,

719
00:44:06,680 --> 00:44:12,239
Speaker 1: most individual humans would rather avoid causing unnecessary pain, not

720
00:44:12,360 --> 00:44:15,640
Speaker 1: just the cows, but like other living things. We're not

721
00:44:15,840 --> 00:44:19,400
Speaker 1: a species that in general just gets off on walking

722
00:44:19,440 --> 00:44:23,000
Speaker 1: by and like kicking puppies or something. You know, we

723
00:44:23,160 --> 00:44:26,520
Speaker 1: think we'd like We think highly of ourselves in that regard,

724
00:44:27,000 --> 00:44:30,359
Speaker 1: and when we are given the opportunity, we like to

725
00:44:30,400 --> 00:44:34,080
Speaker 1: think that we're people who would just rather not needlessly

726
00:44:34,200 --> 00:44:39,520
Speaker 1: injured someone else. But again, we are talking about people's livelihoods.

727
00:44:39,520 --> 00:44:43,000
Speaker 1: There are people listening right now who know that a

728
00:44:43,239 --> 00:44:48,480
Speaker 1: huge part of the economy depends on the livestock industry.

729
00:44:48,640 --> 00:44:53,000
Speaker 1: And yeah, it's incredibly tempting to get sanctimonious about the

730
00:44:53,160 --> 00:44:57,719
Speaker 1: unsafe and cruel practices of factory for me, while ignoring

731
00:44:58,120 --> 00:45:03,200
Speaker 1: the fact that million and people need these jobs. Uh.

732
00:45:03,239 --> 00:45:06,200
Speaker 1: But at some point it also becomes impossible for us

733
00:45:06,239 --> 00:45:09,640
Speaker 1: to ignore the knock on or the fallout effects that

734
00:45:09,760 --> 00:45:13,319
Speaker 1: these practices can have, not just on animals, but on

735
00:45:13,480 --> 00:45:15,960
Speaker 1: humans at the other end of the supply chain. Even

736
00:45:16,160 --> 00:45:19,960
Speaker 1: if you do not eat meat, this affects you. I mean,

737
00:45:20,000 --> 00:45:22,520
Speaker 1: I guess first we can talk about the animals, right,

738
00:45:22,560 --> 00:45:25,600
Speaker 1: how how are they feeling? I think no one asked

739
00:45:25,640 --> 00:45:28,839
Speaker 1: them if they wanted to do this. Yeah, that's very true.

740
00:45:28,840 --> 00:45:33,839
Speaker 1: Well for the animal, it's terrible, Uh since since we know,

741
00:45:34,040 --> 00:45:38,880
Speaker 1: as we talked about before, they can experience some emotional states,

742
00:45:38,880 --> 00:45:42,480
Speaker 1: some cognitive states that humans can that you can, uh

743
00:45:42,760 --> 00:45:45,920
Speaker 1: than going through any all of this process is going

744
00:45:45,960 --> 00:45:50,120
Speaker 1: to be horrifying, even if it's the only thing you know, right,

745
00:45:50,200 --> 00:45:54,759
Speaker 1: even if we're just in that cattle situation with one

746
00:45:54,800 --> 00:45:58,200
Speaker 1: of these little veal calves. The only thing you've ever

747
00:45:58,239 --> 00:46:00,560
Speaker 1: known is you're you're born, you're put in to this thing.

748
00:46:00,640 --> 00:46:03,560
Speaker 1: This is all you know. But you are never you

749
00:46:03,640 --> 00:46:07,000
Speaker 1: never experience a lot of the things that you could

750
00:46:07,000 --> 00:46:13,800
Speaker 1: potentially experience as a cow. I mean, it's it's pretty horrifying.

751
00:46:14,200 --> 00:46:15,840
Speaker 1: And again, all you have to do is put yourself

752
00:46:15,840 --> 00:46:18,280
Speaker 1: in that situation for a moment, or just think about

753
00:46:18,280 --> 00:46:20,319
Speaker 1: it for a second if it was you doing it,

754
00:46:20,520 --> 00:46:22,759
Speaker 1: what would it be like? And you can tell just

755
00:46:22,840 --> 00:46:26,040
Speaker 1: how bad this really could be? And is The other

756
00:46:26,120 --> 00:46:29,640
Speaker 1: thing is if you are a cow, especially the veal one,

757
00:46:29,800 --> 00:46:33,200
Speaker 1: you you don't understand what the government policies are for

758
00:46:33,239 --> 00:46:35,920
Speaker 1: your local you know state where you just happen to

759
00:46:35,960 --> 00:46:39,279
Speaker 1: be born, or you know the county where you're in,

760
00:46:39,520 --> 00:46:43,080
Speaker 1: or even the country that you're in. It doesn't understand

761
00:46:43,120 --> 00:46:46,759
Speaker 1: the profit motive of whatever big factory farm in which

762
00:46:46,800 --> 00:46:50,360
Speaker 1: you find yourself. It doesn't understand a great number of things,

763
00:46:51,280 --> 00:46:54,520
Speaker 1: and it can't and it's just stuck in that situation.

764
00:46:54,920 --> 00:46:59,719
Speaker 1: It's true. And this I think this is pretty obvious.

765
00:47:00,000 --> 00:47:03,520
Speaker 1: I don't. I don't think anybody is functioning under an

766
00:47:03,560 --> 00:47:07,040
Speaker 1: illusion otherwise. But one piece of this that a lot

767
00:47:07,080 --> 00:47:15,160
Speaker 1: of people have missed one aspect where these cost cutting methods,

768
00:47:16,280 --> 00:47:20,360
Speaker 1: where these um this endless race to become more efficient

769
00:47:20,440 --> 00:47:24,360
Speaker 1: at lower price points, there is one huge point where

770
00:47:24,520 --> 00:47:28,400
Speaker 1: this this can end up costing us as a species

771
00:47:28,760 --> 00:47:31,840
Speaker 1: a great deal. This is where the rubber or the

772
00:47:31,880 --> 00:47:35,480
Speaker 1: hooves I guess hit the road. Uh, there is danger

773
00:47:35,560 --> 00:47:37,920
Speaker 1: to the public. We touched on this briefly in our

774
00:47:37,920 --> 00:47:41,160
Speaker 1: previous episode, but let's dive deeper because a lot of

775
00:47:41,160 --> 00:47:44,400
Speaker 1: people are listening asking us, well, okay, alright, hie, I

776
00:47:44,440 --> 00:47:47,839
Speaker 1: get it. Livestock industry is not perfect. What is at

777
00:47:47,880 --> 00:47:51,480
Speaker 1: How on earth is the livestock industry, of all things,

778
00:47:51,719 --> 00:47:54,400
Speaker 1: a public health risk? I mean, come on, guys, that's

779
00:47:54,880 --> 00:47:57,960
Speaker 1: that's kind of wild. We'll show you. I also would

780
00:47:57,960 --> 00:48:03,920
Speaker 1: have accepted where the trotters meet the track, uh, where

781
00:48:03,920 --> 00:48:07,239
Speaker 1: the tails meet the turnpipe? Indeed. Yeah, So let's take

782
00:48:07,280 --> 00:48:09,719
Speaker 1: it from a public health perspective, from none other than

783
00:48:09,840 --> 00:48:15,000
Speaker 1: Atlanta's own Centers for Disease Control. More than two million illnesses,

784
00:48:15,040 --> 00:48:18,399
Speaker 1: they say, and an estimated twenty three thousand deaths each

785
00:48:18,480 --> 00:48:23,080
Speaker 1: year are the result of antibiotic resistance. Um, we've talked

786
00:48:23,080 --> 00:48:26,720
Speaker 1: about something like these ideas of superbugs, and that largely

787
00:48:26,760 --> 00:48:31,000
Speaker 1: stems from the overuse of antibiotics on our food that

788
00:48:31,080 --> 00:48:34,280
Speaker 1: we eat. Antibiotic resistance in animals occurs when they consume

789
00:48:34,400 --> 00:48:38,799
Speaker 1: too many antibiotics and develop drug resistant bacteria in their

790
00:48:38,840 --> 00:48:42,839
Speaker 1: stomachs that are then or can be passed on from

791
00:48:42,920 --> 00:48:48,040
Speaker 1: animals to humans. Under a handful of conditions. The biggest

792
00:48:48,040 --> 00:48:50,880
Speaker 1: one is is if you don't eat meat at a

793
00:48:50,960 --> 00:48:54,040
Speaker 1: proper temperature, if it hasn't been cooked fully enough, then

794
00:48:54,200 --> 00:48:57,680
Speaker 1: the thermometer. Folks, get a meat thermometer. Don't eyeball it,

795
00:48:58,120 --> 00:49:01,279
Speaker 1: don't leave anything up to chance, meet the mother, get

796
00:49:01,320 --> 00:49:03,880
Speaker 1: a remote control one. Totally. It's a good it's a

797
00:49:03,880 --> 00:49:06,040
Speaker 1: good opportunity to get a gadget. Who doesn't love a

798
00:49:06,040 --> 00:49:10,840
Speaker 1: good gadget? And this, Yeah, this all comes the public

799
00:49:10,840 --> 00:49:14,719
Speaker 1: health risk, all comes down to drugs. This factor you

800
00:49:14,800 --> 00:49:18,239
Speaker 1: could talk about. You could talk about deforestation as well.

801
00:49:18,320 --> 00:49:21,399
Speaker 1: Maybe that's something for another episode, because that's about much

802
00:49:21,440 --> 00:49:25,280
Speaker 1: more than the livestock industry and the effects on climate

803
00:49:25,960 --> 00:49:31,520
Speaker 1: climate change. Yeah, no, you're right. And uh, in more

804
00:49:31,560 --> 00:49:35,400
Speaker 1: than a hundred and thirty one thousand tons of antibiotics

805
00:49:35,480 --> 00:49:38,400
Speaker 1: were used on food animals. Food animals is just the

806
00:49:38,480 --> 00:49:41,239
Speaker 1: vague description for stuff that is raised to be eaten

807
00:49:41,800 --> 00:49:46,440
Speaker 1: by This will rise to more than an estimated two

808
00:49:46,520 --> 00:49:51,320
Speaker 1: hundred thousand tons a year. Uh. The stuff we're talking about.

809
00:49:51,480 --> 00:49:59,919
Speaker 1: These antibiotics, to be specific, are like tetracyclings, uh tie listen, bassetration,

810
00:50:00,000 --> 00:50:04,680
Speaker 1: and ethromyacin. Just just to give you the specifics. There

811
00:50:04,920 --> 00:50:07,080
Speaker 1: there's a lot of back and forth with government approval

812
00:50:07,120 --> 00:50:10,960
Speaker 1: of these things in different countries. Um, the EU and

813
00:50:11,080 --> 00:50:15,400
Speaker 1: the US are forever in uh in an argument about

814
00:50:15,520 --> 00:50:20,839
Speaker 1: importing food created in the US because of these antibiotic

815
00:50:20,880 --> 00:50:26,400
Speaker 1: and hormone injection practices. What happens, what happens, You're You're exposed.

816
00:50:26,719 --> 00:50:31,120
Speaker 1: The whole time that myrtle is living out a miserable existence,

817
00:50:31,840 --> 00:50:37,680
Speaker 1: she is also home to a new kind of bacterial life.

818
00:50:38,320 --> 00:50:42,280
Speaker 1: It is not vulnerable to the same antibiotics that killed

819
00:50:42,280 --> 00:50:46,960
Speaker 1: its predecessors. It spreads, it grows, and just like myrtle,

820
00:50:47,040 --> 00:50:49,640
Speaker 1: it doesn't really see the larger picture. It's not aware

821
00:50:49,640 --> 00:50:54,560
Speaker 1: of NGO's it. I guess it may be is aware

822
00:50:54,760 --> 00:51:01,560
Speaker 1: of antibiotics because it's successfully whips their asses. But it

823
00:51:01,719 --> 00:51:05,960
Speaker 1: carries on it's merry little way, and once it reaches

824
00:51:06,400 --> 00:51:10,240
Speaker 1: human beings through you know, improperly cooked meat, through contamination

825
00:51:10,320 --> 00:51:14,520
Speaker 1: of feces, something like that, people can acquire this. And

826
00:51:14,600 --> 00:51:18,480
Speaker 1: once people acquire this stuff, just like COVID nineteen right,

827
00:51:19,360 --> 00:51:24,000
Speaker 1: once people acquire this stuff, then um, well, the anachronistic

828
00:51:24,000 --> 00:51:26,680
Speaker 1: phrase would be it's Katie bar the door because this

829
00:51:26,719 --> 00:51:30,160
Speaker 1: stuff can spread so quickly, and you don't have to

830
00:51:30,160 --> 00:51:34,520
Speaker 1: eat meat therefore to be infected. In In fact, same year,

831
00:51:34,560 --> 00:51:37,400
Speaker 1: we pulled some of the Souther info from researchers showed

832
00:51:37,680 --> 00:51:43,040
Speaker 1: that you could be thirty more likely to get specific

833
00:51:43,080 --> 00:51:46,520
Speaker 1: bacterial infections just by living your pig farms or living

834
00:51:46,560 --> 00:51:49,759
Speaker 1: your crops that were fertilized with pig manure. You have

835
00:51:49,920 --> 00:51:55,600
Speaker 1: thirty percent higher likelihood of becoming infected with Staphylococcus arius bacteria,

836
00:51:55,960 --> 00:52:01,000
Speaker 1: which is resistant to some antibodies. And we are in

837
00:52:01,040 --> 00:52:05,200
Speaker 1: no way prepared by for this. Bye the bye we are.

838
00:52:05,840 --> 00:52:10,080
Speaker 1: We are not ready, man, that's right. And uh Aisha Farruki,

839
00:52:10,239 --> 00:52:15,719
Speaker 1: who is a infectious disease specialist UM says that humanity

840
00:52:15,800 --> 00:52:18,319
Speaker 1: just isn't prepared for what might be down the road.

841
00:52:18,360 --> 00:52:22,120
Speaker 1: Oh wait, humanity is not prepared for a pandemic situation.

842
00:52:22,200 --> 00:52:25,360
Speaker 1: That's surprising. Um. Yeah, And she says this. We have

843
00:52:25,520 --> 00:52:29,960
Speaker 1: very few new antibiotics being introduced and manufactured when compared

844
00:52:30,080 --> 00:52:34,759
Speaker 1: to the emergence of resistant bacteria or germs. UM. She

845
00:52:34,800 --> 00:52:37,120
Speaker 1: goes on to say, if this situation is not well

846
00:52:37,160 --> 00:52:41,480
Speaker 1: controlled now, we may lose this battle between germs and antibiotics,

847
00:52:41,680 --> 00:52:44,799
Speaker 1: which could lead us to a crisis situation where we

848
00:52:44,880 --> 00:52:49,560
Speaker 1: may not have any antibiotics left to combat resisted bacteria. Uh.

849
00:52:49,640 --> 00:52:51,640
Speaker 1: And it's a little different. But like, for example, with

850
00:52:51,719 --> 00:52:55,320
Speaker 1: the current COVID nineteen situation, we have this vaccine now,

851
00:52:55,600 --> 00:52:57,760
Speaker 1: but we now know that there is a new strain

852
00:52:57,840 --> 00:53:00,160
Speaker 1: of it that could be more resistant to the act

853
00:53:00,239 --> 00:53:02,680
Speaker 1: the vaccine that they've been working you know, long and

854
00:53:02,760 --> 00:53:05,719
Speaker 1: hard to create for the one that we knew about.

855
00:53:05,760 --> 00:53:07,759
Speaker 1: So this isn't exactly the same as mutating. I mean

856
00:53:07,760 --> 00:53:09,760
Speaker 1: it is, I guess ben right, Like it is becoming

857
00:53:10,000 --> 00:53:13,440
Speaker 1: resistant to antibiotics similar to mutating. Or is it literally

858
00:53:13,480 --> 00:53:19,680
Speaker 1: just kind of developing a a tolerance to the drugs

859
00:53:19,719 --> 00:53:22,680
Speaker 1: that could actually you know, eradicate it. Yeah, that that

860
00:53:22,719 --> 00:53:28,040
Speaker 1: would be a mutation gaining resistance to something like that. Yeah,

861
00:53:28,080 --> 00:53:32,279
Speaker 1: we're this is this is definitely worst case, like it's

862
00:53:32,320 --> 00:53:35,880
Speaker 1: worst case scenario, but it's something that we can see

863
00:53:35,960 --> 00:53:39,000
Speaker 1: happening if we continue down the route. Yeah. Yeah, yeah,

864
00:53:39,120 --> 00:53:42,440
Speaker 1: well said it's it's worst it's a worst case scenario.

865
00:53:43,080 --> 00:53:46,440
Speaker 1: But we're in like a store that sells the worst cases,

866
00:53:47,200 --> 00:53:50,960
Speaker 1: you know, yes, the worst cases, the worst case. That's

867
00:53:50,960 --> 00:53:55,600
Speaker 1: like the as scene on TV store just like suitcases

868
00:53:55,640 --> 00:54:00,160
Speaker 1: with no handles. Once a pandemic, another one is start

869
00:54:00,680 --> 00:54:04,360
Speaker 1: and then Gamma rabelast you're talking about the sharper image.

870
00:54:04,400 --> 00:54:07,280
Speaker 1: Excuse me, that's what you're doing over there? We go, Yeah,

871
00:54:07,320 --> 00:54:13,680
Speaker 1: so you're right, we are not ready, um, and there's

872
00:54:13,719 --> 00:54:17,480
Speaker 1: not a clear answer as how we can effectively prepare

873
00:54:17,520 --> 00:54:20,319
Speaker 1: for this stuff. It's spooky and it's you know, I'll

874
00:54:20,320 --> 00:54:22,239
Speaker 1: be honest with you, it's more than a little bit

875
00:54:22,680 --> 00:54:26,399
Speaker 1: disappointing and depressing, Like what this is how the world ends?

876
00:54:26,440 --> 00:54:29,400
Speaker 1: Not with a bang but with a cowbug? Spare me,

877
00:54:29,520 --> 00:54:31,960
Speaker 1: where are the explosions? Where the like there was the

878
00:54:32,000 --> 00:54:36,759
Speaker 1: Book of Revelations stuff we were promised that that is coming.

879
00:54:36,840 --> 00:54:40,440
Speaker 1: And guys, what do you think about the way you know,

880
00:54:40,719 --> 00:54:44,759
Speaker 1: this coronavirus pandemic and the politicization of it has sort

881
00:54:44,760 --> 00:54:50,600
Speaker 1: of reduced um faith, I guess in experts like the

882
00:54:50,640 --> 00:54:54,160
Speaker 1: c d C, in experts like you know, Dr Fauci

883
00:54:54,280 --> 00:54:56,640
Speaker 1: or whatever, who have been saying one thing all along,

884
00:54:56,880 --> 00:54:59,880
Speaker 1: and because it's been politicized, I think there's a polarization

885
00:55:00,320 --> 00:55:02,440
Speaker 1: against science and now it's like going to take the

886
00:55:02,480 --> 00:55:06,360
Speaker 1: CDC sometime to kind of claw back that credibility. Is

887
00:55:06,400 --> 00:55:08,680
Speaker 1: that setting us back even further to help us prevent

888
00:55:08,760 --> 00:55:13,319
Speaker 1: something like this. Political acumen and scientific talent are two

889
00:55:13,520 --> 00:55:16,120
Speaker 1: very different skill sets. That's I think that's one of

890
00:55:16,120 --> 00:55:19,600
Speaker 1: the big issues you can have. You can have the

891
00:55:19,680 --> 00:55:21,640
Speaker 1: up to date research, you can have the facts, but

892
00:55:21,680 --> 00:55:23,960
Speaker 1: if you do not, if you do not know how

893
00:55:24,000 --> 00:55:28,600
Speaker 1: to communicate it effectively, then you are shouting into the void.

894
00:55:28,880 --> 00:55:31,200
Speaker 1: That's I mean, that's just the reality that's not ading

895
00:55:31,239 --> 00:55:33,759
Speaker 1: on the politicians or on the scientists, but the s

896
00:55:34,080 --> 00:55:37,480
Speaker 1: the science is there. Um, I could see, I could

897
00:55:37,520 --> 00:55:40,120
Speaker 1: see some polarization, I could see it being more difficult,

898
00:55:40,200 --> 00:55:45,600
Speaker 1: but I would also say a superbug that emerged this way,

899
00:55:46,000 --> 00:55:48,959
Speaker 1: the first thing that would happen would be a very

900
00:55:48,960 --> 00:55:52,520
Speaker 1: intense game of hot pandemic potato, where just like we

901
00:55:52,560 --> 00:55:57,239
Speaker 1: saw with where and other actors and countries and individuals

902
00:55:57,360 --> 00:56:01,360
Speaker 1: are trying to assign blame on someone who is not them.

903
00:56:01,400 --> 00:56:03,920
Speaker 1: That's that's a very brutal it's short way to explain it,

904
00:56:04,200 --> 00:56:07,600
Speaker 1: but that is immediately what would happen. Uh. And you

905
00:56:07,640 --> 00:56:12,960
Speaker 1: know this, if it came from a large corporation of

906
00:56:13,000 --> 00:56:16,000
Speaker 1: some sort that's active in the livestock industry and we

907
00:56:16,080 --> 00:56:18,600
Speaker 1: talked about some of the biggest ones in our previous episode.

908
00:56:19,040 --> 00:56:21,920
Speaker 1: Then they would they would have to take accountability that

909
00:56:21,960 --> 00:56:24,279
Speaker 1: would be forced by the by the government of a

910
00:56:24,320 --> 00:56:26,880
Speaker 1: given country to do so, but it wouldn't solve the

911
00:56:26,920 --> 00:56:30,960
Speaker 1: problem at all. Lake. Right now, it might sound like

912
00:56:31,000 --> 00:56:34,840
Speaker 1: we're making um, we're making a big deal about some

913
00:56:34,920 --> 00:56:38,560
Speaker 1: old beans here. But you might say, hey, we'll sure, guys.

914
00:56:38,600 --> 00:56:41,959
Speaker 1: The potential is troubling. But this is all still hypothetical.

915
00:56:42,120 --> 00:56:46,840
Speaker 1: So the hold your horses, pump your brakes. Uh. However,

916
00:56:46,960 --> 00:56:52,160
Speaker 1: the answer is no, this is not hypothetical. This has happened.

917
00:56:52,480 --> 00:56:54,680
Speaker 1: This is happening now as you listen to this. I

918
00:56:54,680 --> 00:56:57,600
Speaker 1: don't know why I'm smiling like this. I think it's

919
00:56:57,640 --> 00:57:01,960
Speaker 1: it's it's a reaction to to the very bad news. Uh.

920
00:57:02,080 --> 00:57:07,120
Speaker 1: Twenty nineteen saw a rise in superbug hotspots directly associated

921
00:57:07,120 --> 00:57:12,799
Speaker 1: with farms. No circumstantial maybe or you know, statistical likelihood

922
00:57:13,200 --> 00:57:16,400
Speaker 1: dithering arguments about it. It is a direct one to

923
00:57:16,440 --> 00:57:21,240
Speaker 1: one connection with farms. Uh. The researchers for the various

924
00:57:21,280 --> 00:57:26,080
Speaker 1: studies indicating this, Uh, they do have uh some skin

925
00:57:26,120 --> 00:57:28,080
Speaker 1: in the game. They got some bacon in the pan

926
00:57:28,200 --> 00:57:32,320
Speaker 1: here because their argument is ultimately that this can be

927
00:57:32,360 --> 00:57:36,000
Speaker 1: traced back to what they call over consumption of meat.

928
00:57:36,680 --> 00:57:39,080
Speaker 1: And you know, we're very in this country, we're very

929
00:57:39,160 --> 00:57:41,720
Speaker 1: Ron Swanson about it, like we'll tell you when it's

930
00:57:41,840 --> 00:57:46,080
Speaker 1: enough bacon. Yeah, well, and and and and Back in

931
00:57:46,120 --> 00:57:48,560
Speaker 1: the day, I mean, meat was a treat. It was

932
00:57:48,600 --> 00:57:51,360
Speaker 1: something you'd have, like, you know, as like a special

933
00:57:51,360 --> 00:57:54,400
Speaker 1: occasion kind of thing. And because of factory farming, we've

934
00:57:54,440 --> 00:57:56,800
Speaker 1: sort of like stripped it of that kind of special

935
00:57:57,160 --> 00:58:00,200
Speaker 1: occasion feel, and people eat it for every meat ill.

936
00:58:00,560 --> 00:58:03,439
Speaker 1: And you know, whether you believe in the science behind

937
00:58:03,480 --> 00:58:05,560
Speaker 1: it or not, I think we can all probably agree

938
00:58:06,000 --> 00:58:08,880
Speaker 1: that eating red meat for every meal is probably not

939
00:58:08,920 --> 00:58:11,680
Speaker 1: the best thing for our bodies and and our diets

940
00:58:11,720 --> 00:58:14,840
Speaker 1: as human beings. Right, It's true. Think of the so

941
00:58:14,920 --> 00:58:18,640
Speaker 1: called blue spots, uh, those are that's a handful of

942
00:58:18,680 --> 00:58:23,360
Speaker 1: areas in the world wherein people tend to live to

943
00:58:23,720 --> 00:58:27,920
Speaker 1: and past a hundred years old at like a shocking

944
00:58:27,920 --> 00:58:31,600
Speaker 1: degree in comparison to adjacent regions. There are a number

945
00:58:31,640 --> 00:58:33,640
Speaker 1: of factors that are traced to this, and one of

946
00:58:33,680 --> 00:58:36,360
Speaker 1: them is their diet. Their diet does appear to be

947
00:58:37,400 --> 00:58:42,080
Speaker 1: less based on on meat in general. Red meat, especially

948
00:58:42,600 --> 00:58:44,520
Speaker 1: so it's so it's a health concern. I don't think

949
00:58:44,520 --> 00:58:46,720
Speaker 1: that's being preachy. That's a that's a health concern. But

950
00:58:46,760 --> 00:58:48,920
Speaker 1: if you if you look at what's happening with the

951
00:58:48,920 --> 00:58:52,400
Speaker 1: global economy and you look at how it changes individual

952
00:58:52,440 --> 00:58:57,080
Speaker 1: consumption habits, then you see in parts of the developing world, uh,

953
00:58:57,280 --> 00:59:01,680
Speaker 1: people who are doing better financially than perhaps their parents did,

954
00:59:02,360 --> 00:59:05,880
Speaker 1: or than perhaps they did earlier in life. They are

955
00:59:06,280 --> 00:59:09,240
Speaker 1: eating meat more often. Like you said, Nol, we're talking

956
00:59:09,240 --> 00:59:13,800
Speaker 1: about northeast India, northeast China, uh, the Red River Delta

957
00:59:13,920 --> 00:59:17,400
Speaker 1: in Vietnam. Those are hot spots for superbugs on the

958
00:59:17,440 --> 00:59:20,680
Speaker 1: Asian continent. And then there are places like Mexico and

959
00:59:20,760 --> 00:59:24,280
Speaker 1: Johannesburg that are also affected. This is hitting This is

960
00:59:24,320 --> 00:59:27,320
Speaker 1: hitting everybody because everybody's kind of doing the same thing.

961
00:59:27,880 --> 00:59:29,760
Speaker 1: Everybody's een that meat and they're trying to make more

962
00:59:29,760 --> 00:59:32,360
Speaker 1: of it as fast as the cannon, as cheaply as possible.

963
00:59:33,040 --> 00:59:37,920
Speaker 1: And should we just tell them the real real consequence

964
00:59:37,960 --> 00:59:41,640
Speaker 1: has been all right, let's get started here. There's a

965
00:59:41,680 --> 00:59:44,600
Speaker 1: study in science came out and not that long ago,

966
00:59:45,360 --> 00:59:48,320
Speaker 1: and I was looking at global trends and anti microbial

967
00:59:48,400 --> 00:59:53,560
Speaker 1: resistance in animals within low and middle income countries. And

968
00:59:53,760 --> 00:59:57,560
Speaker 1: my god, this is something we've mentioned on this show before,

969
00:59:58,080 --> 01:00:03,080
Speaker 1: but this number is stagg ring. It is estimated that

970
01:00:03,160 --> 01:00:08,800
Speaker 1: around seventy three of all anti microbials that are sold

971
01:00:08,800 --> 01:00:11,840
Speaker 1: on Earth, that are used on this planet are not

972
01:00:11,960 --> 01:00:15,360
Speaker 1: for humans when a human gets sick or something and

973
01:00:15,440 --> 01:00:18,439
Speaker 1: needs to get healed because we have this magic thing

974
01:00:18,640 --> 01:00:24,680
Speaker 1: called an an anti microbial and antibiotic uh see are

975
01:00:24,760 --> 01:00:29,320
Speaker 1: used on animals for food seventy three percent worldwide. And

976
01:00:29,360 --> 01:00:32,160
Speaker 1: we just talked about how that practice right there, of

977
01:00:32,360 --> 01:00:36,080
Speaker 1: using the antibiotics on animals rather than you know, a

978
01:00:36,240 --> 01:00:41,479
Speaker 1: human who has gotten sick is the problem. It's not good. No, no,

979
01:00:41,760 --> 01:00:46,080
Speaker 1: it is double plus un good, as Orwell would say,

980
01:00:46,120 --> 01:00:51,280
Speaker 1: beyond the potentially serious consequences for public health, this reliance

981
01:00:51,600 --> 01:00:57,160
Speaker 1: on antibiotics to meet the demand, or for meat too,

982
01:00:57,880 --> 01:01:02,240
Speaker 1: to meet the meat demand anyway, sorry homonyms, whatever you

983
01:01:02,320 --> 01:01:06,400
Speaker 1: got you gotta meet out that meet demand. Yeah, the

984
01:01:06,640 --> 01:01:11,840
Speaker 1: acute moment where you see that hamburger. The problem is

985
01:01:11,920 --> 01:01:16,400
Speaker 1: this is also a threat quite likely to the sustainability

986
01:01:16,440 --> 01:01:21,200
Speaker 1: of the livestock industry. This could wreck the ship uh in.

987
01:01:21,360 --> 01:01:24,640
Speaker 1: That would mean that it is a danger to the

988
01:01:24,760 --> 01:01:28,120
Speaker 1: livelihood of farmers around the world and people associated with

989
01:01:28,120 --> 01:01:32,880
Speaker 1: this industry. The scientists in these studies UM do leave

990
01:01:33,840 --> 01:01:35,720
Speaker 1: a little bit of light at the end of the

991
01:01:35,720 --> 01:01:39,760
Speaker 1: slaughterhouse tunnel by saying there's a window of opportunity to

992
01:01:40,120 --> 01:01:42,960
Speaker 1: nip this in the bud to prevent the rise of

993
01:01:43,480 --> 01:01:49,760
Speaker 1: very real, potentially unstoppable superbugs. UH. The stakes are high,

994
01:01:50,240 --> 01:01:55,360
Speaker 1: uh UK former Chief Medical Officer Sally Davies said that

995
01:01:56,240 --> 01:01:59,680
Speaker 1: this is one of the greatest threats the modern world faces.

996
01:02:00,600 --> 01:02:03,480
Speaker 1: And the thing is, even though scientists, even though even

997
01:02:03,480 --> 01:02:06,560
Speaker 1: though people are largely on the same page about this,

998
01:02:07,920 --> 01:02:12,520
Speaker 1: they're not really agreeing on how to approach it, how

999
01:02:12,560 --> 01:02:15,640
Speaker 1: to fix it, because there's a global problem. Uh. These

1000
01:02:16,480 --> 01:02:20,560
Speaker 1: diseases will not recognize rule of law. They don't have

1001
01:02:20,600 --> 01:02:24,280
Speaker 1: a passport, they don't care about customs, So one country's

1002
01:02:24,360 --> 01:02:27,000
Speaker 1: law is alone. No matter what they are, they don't

1003
01:02:27,040 --> 01:02:29,880
Speaker 1: really fix this. You can legislate all you want in

1004
01:02:29,920 --> 01:02:32,280
Speaker 1: the US, but that's not going to change the fact

1005
01:02:32,360 --> 01:02:34,720
Speaker 1: that China and India are home to more than half

1006
01:02:34,760 --> 01:02:37,280
Speaker 1: the world's pigs and chickens, and therefore it's up to

1007
01:02:37,400 --> 01:02:41,520
Speaker 1: those governments and those companies to try to try their

1008
01:02:41,520 --> 01:02:45,240
Speaker 1: own solution to the problem. So at this point, at

1009
01:02:45,280 --> 01:02:47,320
Speaker 1: the end of the episode, we gotta we gotta talk

1010
01:02:47,320 --> 01:02:49,959
Speaker 1: what are what are the solutions. There's a good case

1011
01:02:50,040 --> 01:02:53,280
Speaker 1: that the secret of the life stock industry is that

1012
01:02:53,320 --> 01:02:56,040
Speaker 1: it may be paving the way for a superbug. That's

1013
01:02:56,160 --> 01:02:59,880
Speaker 1: that's the one sentence takeaway. But the solutions, I don't know, man,

1014
01:03:00,280 --> 01:03:02,760
Speaker 1: there they seem pretty piecemeal. You would have to have

1015
01:03:02,800 --> 01:03:05,240
Speaker 1: a lot of coordination. And it's almost a big brother

1016
01:03:05,360 --> 01:03:08,439
Speaker 1: situation to address this. Oh yeah, and and we didn't

1017
01:03:08,440 --> 01:03:10,080
Speaker 1: even get to it in this episode. And I'm going

1018
01:03:10,120 --> 01:03:12,640
Speaker 1: to propose that we do another follow up to this,

1019
01:03:12,760 --> 01:03:16,440
Speaker 1: not necessarily secrets of the livestock industry, but about animal

1020
01:03:16,440 --> 01:03:20,680
Speaker 1: activism and the varying groups that are trying to do

1021
01:03:20,800 --> 01:03:25,040
Speaker 1: something of varying sizes. Uh And some have been around

1022
01:03:25,080 --> 01:03:28,160
Speaker 1: for a long time somewhere just now forming and they're

1023
01:03:28,160 --> 01:03:31,680
Speaker 1: taking like different steps. One that I really want to

1024
01:03:31,720 --> 01:03:33,560
Speaker 1: focus on, and I'd love to put out a call

1025
01:03:33,640 --> 01:03:36,720
Speaker 1: to anyone who who's listening to this, if you if

1026
01:03:36,720 --> 01:03:39,600
Speaker 1: you're familiar with d x E, it's a group called

1027
01:03:39,680 --> 01:03:42,080
Speaker 1: d XC. Have been reading a lot about them, doing

1028
01:03:42,120 --> 01:03:44,680
Speaker 1: a lot of research on that particular group and the

1029
01:03:44,760 --> 01:03:48,400
Speaker 1: actions that they take um and it is it is

1030
01:03:48,480 --> 01:03:54,440
Speaker 1: interesting to see how uh the varying levels of extremity

1031
01:03:54,560 --> 01:03:57,400
Speaker 1: or the extremes that people are willing to go to

1032
01:03:57,800 --> 01:04:01,280
Speaker 1: to try and prevent this happening, because it can be

1033
01:04:01,320 --> 01:04:04,040
Speaker 1: at the individual level. Right, just decided to stop eating meat,

1034
01:04:04,160 --> 01:04:07,040
Speaker 1: But how the heck does that one individual change the

1035
01:04:07,080 --> 01:04:11,120
Speaker 1: system unless you get billions of people to decide that right,

1036
01:04:11,200 --> 01:04:14,360
Speaker 1: And how do you make it worth worth their time? Also?

1037
01:04:14,600 --> 01:04:19,040
Speaker 1: Is it is it ethical as a governing body or

1038
01:04:19,160 --> 01:04:21,720
Speaker 1: a ruler of some sort and authority? Is it ethical

1039
01:04:22,000 --> 01:04:24,960
Speaker 1: to tell people what they can and cannot eat and

1040
01:04:25,000 --> 01:04:28,760
Speaker 1: how much they can consume? Remember how New York went

1041
01:04:29,040 --> 01:04:33,080
Speaker 1: nuts when there was that there was that regulation to

1042
01:04:33,200 --> 01:04:37,680
Speaker 1: like reduce the maximum size of the soda sodas or

1043
01:04:37,760 --> 01:04:40,600
Speaker 1: something with some sugary drink. People went wild. People who

1044
01:04:40,600 --> 01:04:43,040
Speaker 1: would never even drink that stuff, We're like, don't tread

1045
01:04:43,080 --> 01:04:47,520
Speaker 1: on me, how dare you? And and imagine that problem

1046
01:04:47,560 --> 01:04:53,560
Speaker 1: on a macro worldwide level. There there's also so calling

1047
01:04:53,640 --> 01:04:55,680
Speaker 1: for people to eat less meat. That's one of the

1048
01:04:55,680 --> 01:04:59,200
Speaker 1: main things the studies propose, but they also propose other

1049
01:04:59,240 --> 01:05:01,400
Speaker 1: things like what if we put a hard cap on

1050
01:05:01,440 --> 01:05:05,520
Speaker 1: the amount of antibiotics that can be used in some way, right,

1051
01:05:05,520 --> 01:05:07,880
Speaker 1: we make some kind of metric for that well, and

1052
01:05:07,920 --> 01:05:11,400
Speaker 1: it is becoming popular in a lot of places if

1053
01:05:11,480 --> 01:05:14,680
Speaker 1: you have the an amount of wealth to support it,

1054
01:05:14,840 --> 01:05:16,960
Speaker 1: to support farms that don't use a lot of the

1055
01:05:16,960 --> 01:05:20,680
Speaker 1: practices that we've outlined in this episode today that you know,

1056
01:05:20,880 --> 01:05:25,600
Speaker 1: do allow cattle to just graze and rome and aren't

1057
01:05:25,640 --> 01:05:28,280
Speaker 1: hooked up to you know, in the ways we've discussed here,

1058
01:05:28,640 --> 01:05:32,440
Speaker 1: same thing with chickens and pigs, and that's becoming a

1059
01:05:32,440 --> 01:05:35,040
Speaker 1: popular thing, but you have to have a certain level

1060
01:05:35,080 --> 01:05:39,439
Speaker 1: of wealth in order to support that lifestyle. And then

1061
01:05:40,200 --> 01:05:44,920
Speaker 1: there are still also serious questions about you know, intentions aside,

1062
01:05:44,960 --> 01:05:47,440
Speaker 1: how much of an impact is that making and how

1063
01:05:47,520 --> 01:05:52,200
Speaker 1: legit are the claims from those producers. Uh, yeah, it's true.

1064
01:05:52,240 --> 01:05:56,080
Speaker 1: I mean they're they're cows in Japan and give that

1065
01:05:56,240 --> 01:05:58,600
Speaker 1: beer and they get massages. Their life is kind of

1066
01:05:58,640 --> 01:06:02,080
Speaker 1: dope until they get killed. But but you're right there,

1067
01:06:02,280 --> 01:06:04,919
Speaker 1: there's not there's not a single thing there. There are

1068
01:06:04,960 --> 01:06:10,000
Speaker 1: a number of financial incentives proposed or carrot and stick

1069
01:06:10,200 --> 01:06:12,960
Speaker 1: kind of things where they say, okay, why don't we

1070
01:06:13,000 --> 01:06:15,720
Speaker 1: just have higher taxes on animal products, just like in

1071
01:06:15,760 --> 01:06:18,320
Speaker 1: the last episode where we said how much meat cost

1072
01:06:18,360 --> 01:06:25,200
Speaker 1: and we found some really weird calculations. Would that disincentivize people? Maybe? Uh?

1073
01:06:25,280 --> 01:06:27,840
Speaker 1: But then there's something a little more insidious, something that's

1074
01:06:27,840 --> 01:06:31,040
Speaker 1: something a little you know, doctor evil, the pinky to

1075
01:06:31,080 --> 01:06:34,520
Speaker 1: the mouth about it. What if we hide the costs

1076
01:06:34,520 --> 01:06:37,120
Speaker 1: in the supply chain even deeper and we tax the

1077
01:06:37,160 --> 01:06:42,320
Speaker 1: antibiotics stinks for the farmers. Well, then you'd have way

1078
01:06:42,360 --> 01:06:47,640
Speaker 1: more cows and much more distress and sick Right, that's all.

1079
01:06:47,640 --> 01:06:49,959
Speaker 1: That's all you'd get out of that. There'd be fewer

1080
01:06:50,000 --> 01:06:54,520
Speaker 1: antibiotics used by factory farms. Yeah, you know, that's a

1081
01:06:54,560 --> 01:06:56,760
Speaker 1: good point. We don't know how that would go because

1082
01:06:56,920 --> 01:06:59,680
Speaker 1: that hasn't been put into action. It's all a matter

1083
01:06:59,760 --> 01:07:03,080
Speaker 1: of erie. But these will these strategies work. What do

1084
01:07:03,120 --> 01:07:06,880
Speaker 1: you guys think, I mean, should people institute things? Because

1085
01:07:06,960 --> 01:07:11,439
Speaker 1: make no mistake, like this is this is not right now.

1086
01:07:11,480 --> 01:07:13,840
Speaker 1: This is not a what if situation? This is a

1087
01:07:13,840 --> 01:07:16,160
Speaker 1: when is it going down? Situation? Yeah, I mean it's

1088
01:07:16,160 --> 01:07:17,480
Speaker 1: one that's one of these things where it's like, you know,

1089
01:07:17,520 --> 01:07:19,840
Speaker 1: people want what they want, and what people want is

1090
01:07:20,040 --> 01:07:23,919
Speaker 1: lots of meat unfortunately, and until the demand goes down,

1091
01:07:23,960 --> 01:07:27,040
Speaker 1: it's gonna be a hard sell to say you have

1092
01:07:27,160 --> 01:07:30,640
Speaker 1: to change your habits for the greater good, because in

1093
01:07:30,680 --> 01:07:33,280
Speaker 1: America in particular, people don't really go for that very often.

1094
01:07:33,440 --> 01:07:36,160
Speaker 1: And how is the first questions like, well, why am

1095
01:07:36,560 --> 01:07:40,120
Speaker 1: I taking the hit if I don't see any anybody

1096
01:07:40,120 --> 01:07:41,920
Speaker 1: else doing it? You know what it means? So it

1097
01:07:41,920 --> 01:07:45,120
Speaker 1: would have to be a worldwide adoption. Do we need

1098
01:07:45,360 --> 01:07:48,160
Speaker 1: for people who want this stuff to happen? Do we

1099
01:07:48,240 --> 01:07:52,080
Speaker 1: need to have like a modern Edward Bernese waging a

1100
01:07:52,160 --> 01:07:54,840
Speaker 1: campaign to change the hearts and the minds of the

1101
01:07:54,880 --> 01:07:57,439
Speaker 1: meat eating public. Should also point out, by the way,

1102
01:07:57,440 --> 01:08:02,840
Speaker 1: folks that um, Michigan troll, Matt Nolan, myself are omnivores,

1103
01:08:03,200 --> 01:08:06,280
Speaker 1: so we're eating meat to We're we're aware of this,

1104
01:08:06,360 --> 01:08:09,920
Speaker 1: but we're also aware that there there does appear to

1105
01:08:09,960 --> 01:08:14,040
Speaker 1: be some kind of ticking clock toward the potential for

1106
01:08:14,120 --> 01:08:17,519
Speaker 1: something disastrous. Um. You know, we can't predict when that

1107
01:08:17,520 --> 01:08:20,439
Speaker 1: would occur, we can't predict the level of impact it

1108
01:08:20,479 --> 01:08:27,720
Speaker 1: would make. But it's not looking good, so we we will. Yeah, yeah,

1109
01:08:28,479 --> 01:08:30,760
Speaker 1: my wife just texted me and said, what do you

1110
01:08:30,800 --> 01:08:35,920
Speaker 1: want from grindhouse burger nice. UM, I don't think it

1111
01:08:35,960 --> 01:08:41,040
Speaker 1: want anything right now from there? Well, also, you know,

1112
01:08:41,200 --> 01:08:44,879
Speaker 1: arguably carpet dium. I remember we talked about the collapse

1113
01:08:44,960 --> 01:08:51,120
Speaker 1: of the maritime ecology, her ecosystems and uh ocean acidification.

1114
01:08:52,040 --> 01:08:53,880
Speaker 1: I had a real what they call in the South

1115
01:08:53,920 --> 01:08:56,720
Speaker 1: that come to Jesus moment with myself. There was a

1116
01:08:56,760 --> 01:08:59,679
Speaker 1: horrible person about it, and I was like, well, if

1117
01:09:00,200 --> 01:09:03,479
Speaker 1: the next generations of human beings are not going to

1118
01:09:03,600 --> 01:09:08,280
Speaker 1: be able to eat some of these fish, it's like

1119
01:09:08,400 --> 01:09:12,080
Speaker 1: maybe I don't know, it's it's terrible, but that's I mean,

1120
01:09:12,439 --> 01:09:14,760
Speaker 1: it's kind of a curb your enthusiasm moment, but it's

1121
01:09:14,760 --> 01:09:17,479
Speaker 1: something that we're all going through on a daily basis.

1122
01:09:17,920 --> 01:09:21,040
Speaker 1: We want to know your thoughts. Should there be some

1123
01:09:21,160 --> 01:09:28,960
Speaker 1: authority given the power to mandate certain changes? Uh? I

1124
01:09:29,000 --> 01:09:32,719
Speaker 1: think that's kind of dangerous personally because where does power stopped.

1125
01:09:32,840 --> 01:09:36,799
Speaker 1: The answer is it usually doesn't. UM. But then also

1126
01:09:38,080 --> 01:09:42,679
Speaker 1: is this are people being alarmist about this? Um? If

1127
01:09:42,720 --> 01:09:45,680
Speaker 1: you were to propose solutions, what would those solutions be?

1128
01:09:45,880 --> 01:09:47,479
Speaker 1: We want to hear from you. We try to make

1129
01:09:47,479 --> 01:09:50,120
Speaker 1: it easy to find us, and I agree with you.

1130
01:09:50,160 --> 01:09:52,720
Speaker 1: Matt I think there's uh, there's more to be said

1131
01:09:52,720 --> 01:09:54,880
Speaker 1: about this in the future. Yeah, we will do that,

1132
01:09:55,000 --> 01:09:58,879
Speaker 1: So hey, contact us. We are conspiracy Stuff on Twitter

1133
01:09:59,040 --> 01:10:03,160
Speaker 1: and Facebook. On Instagram, we are Conspiracy Stuff Show. We

1134
01:10:03,240 --> 01:10:06,599
Speaker 1: also have individual instagrams. I'm in the same mind today,

1135
01:10:07,080 --> 01:10:12,280
Speaker 1: Matt underscore Frederick. Nope, Matt Frederick underscore. I heart. That's it.

1136
01:10:12,800 --> 01:10:15,880
Speaker 1: The underscores in there somewhere. He's such to figure out where.

1137
01:10:15,880 --> 01:10:18,960
Speaker 1: It's like a puzzle box. Good luck. You type it out.

1138
01:10:19,120 --> 01:10:22,960
Speaker 1: You have to type out under underscore exactly. Um. You

1139
01:10:23,000 --> 01:10:25,519
Speaker 1: can find me on Instagram exclusively where I am at

1140
01:10:25,520 --> 01:10:29,160
Speaker 1: how now Noel Brown, Ben's all over the internet. Uh man,

1141
01:10:29,560 --> 01:10:32,400
Speaker 1: yeah for now. Uh. You feel free to reach out

1142
01:10:32,400 --> 01:10:34,759
Speaker 1: to me directly at them Bowling hs W on Twitter.

1143
01:10:35,479 --> 01:10:39,560
Speaker 1: You can also reach me at Ben Bowling on Instagram.

1144
01:10:40,160 --> 01:10:42,080
Speaker 1: Just let me know what's a your my topics for

1145
01:10:42,160 --> 01:10:46,519
Speaker 1: upcoming shows? Uh memes? Fine? Yeah, just we We always

1146
01:10:46,560 --> 01:10:48,200
Speaker 1: love to hear from you. You're the most important part

1147
01:10:48,200 --> 01:10:51,000
Speaker 1: of the show. Hey, Dan, If you're still listening the show,

1148
01:10:51,240 --> 01:10:54,120
Speaker 1: or Kesha or anybody else, If you have clubhouse and

1149
01:10:54,120 --> 01:10:56,000
Speaker 1: you're one of the cool people that's already in there,

1150
01:10:56,600 --> 01:10:59,439
Speaker 1: hit us up. We're interested in exploring it. Oh you

1151
01:10:59,479 --> 01:11:04,880
Speaker 1: can find me clubhouse. Tom so jealous, you know, I'm

1152
01:11:04,920 --> 01:11:07,120
Speaker 1: gonna say, look, I know we're running along. Paul's gonna

1153
01:11:07,160 --> 01:11:09,240
Speaker 1: kill us here. But I'm on the fence with it

1154
01:11:09,360 --> 01:11:11,600
Speaker 1: right now. I don't know whether it is going to

1155
01:11:11,680 --> 01:11:13,320
Speaker 1: be a flash in the pan, whether it's going to

1156
01:11:13,400 --> 01:11:15,880
Speaker 1: be a very popular good thing, or whether it's going

1157
01:11:15,920 --> 01:11:19,760
Speaker 1: to be a very bad thing. Because there you can

1158
01:11:19,800 --> 01:11:22,760
Speaker 1: do a live hangout, right m hm. So like we

1159
01:11:22,840 --> 01:11:24,600
Speaker 1: could ostensibly do a stuff they don't want you to

1160
01:11:24,680 --> 01:11:28,320
Speaker 1: know thing of some sort on it. Yes, yes we could.

1161
01:11:28,400 --> 01:11:34,280
Speaker 1: We'll invite the show. Ben, Uh yeah, let us let

1162
01:11:34,320 --> 01:11:36,000
Speaker 1: us know what you think about that too. I'm a

1163
01:11:36,000 --> 01:11:40,880
Speaker 1: little bit I feel like I'm overthinking it. But there's

1164
01:11:41,400 --> 01:11:44,400
Speaker 1: how how do you moderate hate speech? How do you

1165
01:11:44,439 --> 01:11:48,680
Speaker 1: moderate extremism on an ephemeral audio app? We have to

1166
01:11:48,720 --> 01:11:50,680
Speaker 1: do good times with the with the people who are

1167
01:11:50,720 --> 01:11:54,080
Speaker 1: being nice, and the other ones we ignore. There we go.

1168
01:11:54,720 --> 01:11:57,559
Speaker 1: If you don't care for social media, you can give

1169
01:11:57,600 --> 01:11:59,639
Speaker 1: us a phone call directly. We're one eight three three

1170
01:11:59,760 --> 01:12:02,880
Speaker 1: as t d W y t K. You have three minutes.

1171
01:12:02,960 --> 01:12:06,120
Speaker 1: Those are your minutes. Tell us what's on your mind?

1172
01:12:06,200 --> 01:12:10,080
Speaker 1: Recommend topic you think your fellow listeners will enjoy. Let

1173
01:12:10,120 --> 01:12:11,720
Speaker 1: us know if we can use your name and or

1174
01:12:11,840 --> 01:12:15,400
Speaker 1: voice on air and be worn folks, or just don't

1175
01:12:15,439 --> 01:12:18,720
Speaker 1: be worn. Be aware that there's a possibility you might

1176
01:12:18,760 --> 01:12:21,000
Speaker 1: get a call back from one of us or the

1177
01:12:21,080 --> 01:12:25,120
Speaker 1: creamed corn kid himself. I was saving that this whole time.

1178
01:12:26,600 --> 01:12:30,920
Speaker 1: Oh is that okay? Yeah, cream corn is coming for you.

1179
01:12:31,000 --> 01:12:34,000
Speaker 1: Watch Out reminds me of that scene in Twin Peaks

1180
01:12:34,040 --> 01:12:37,679
Speaker 1: Firewalk with Me where like the little guy talking about

1181
01:12:37,720 --> 01:12:39,880
Speaker 1: cream corn, and there's a scene in the movie where

1182
01:12:39,880 --> 01:12:43,080
Speaker 1: there is a creepy little kid in a mask next

1183
01:12:43,120 --> 01:12:45,559
Speaker 1: to the cream involving cream court. I don't remember, but

1184
01:12:45,600 --> 01:12:47,240
Speaker 1: I think of him as the cream corn kid and

1185
01:12:47,280 --> 01:12:48,639
Speaker 1: I will never be able to get that image out

1186
01:12:48,640 --> 01:12:51,200
Speaker 1: of my head. But uh, yeah, cream corn is good.

1187
01:12:51,439 --> 01:12:53,519
Speaker 1: I I stand by it. Um. If you don't want

1188
01:12:53,520 --> 01:12:54,559
Speaker 1: to do any of that stuff, you want to get

1189
01:12:54,560 --> 01:12:56,000
Speaker 1: in touch with us the old fashioned way, why not

1190
01:12:56,120 --> 01:12:59,440
Speaker 1: just send us a good old email. We are conspiracy

1191
01:12:59,560 --> 01:13:20,760
Speaker 1: at our heart radio dot com. Stuff they don't want

1192
01:13:20,800 --> 01:13:23,160
Speaker 1: you to know. Is a production of I Heart Radio.

1193
01:13:23,479 --> 01:13:25,720
Speaker 1: For more podcasts from my heart Radio, visit the I

1194
01:13:25,800 --> 01:13:28,720
Speaker 1: Heart Radio app. Apple podcasts, or wherever you listen to

1195
01:13:28,720 --> 01:13:29,519
Speaker 1: your favorite shows.