WEBVTT - The Viral Milk That Helped Set Off America's Protein Boom

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>Hello and welcome to another episode of the Odd Lots podcast.

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<v Speaker 2>I'm Tracy Allowhite.

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<v Speaker 3>And I'm Jill.

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<v Speaker 2>Why isnt thal Joe? You're a Jim person? Aren't you

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<v Speaker 2>notice I did not say Jim Burrow.

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<v Speaker 3>Yeah that's right. Let's say thank you. Aspirationally, I do

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<v Speaker 3>go to the gym regularly. I don't go to the

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<v Speaker 3>gym regular enough to see a difference. I think because

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<v Speaker 3>I'm at the stage of life for like every day

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<v Speaker 3>I'm getting a little bit closer to death, and so

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<v Speaker 3>I'm like holding serve. I'm like sort of holding at

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<v Speaker 3>the same So like I no progress, but maybe I'm

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<v Speaker 3>not regressing.

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<v Speaker 2>But yes, I still think if you go to the

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<v Speaker 2>gym regularly, you're a Jim person. Okay, Yeah, that's impressive.

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<v Speaker 3>I'm gonna have less shame about it.

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<v Speaker 2>Okay, here's my question. Have you noticed the drinking habits

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<v Speaker 2>of some of your fellow Jim people. Have you noticed

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<v Speaker 2>anyone walking around with bottles of milk?

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<v Speaker 3>I have? I mean I still see more people with

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<v Speaker 3>like the energy drinks milk, but yeah, I've definitely seen it.

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<v Speaker 2>You know.

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<v Speaker 3>I think, like back in the day. You know, you

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<v Speaker 3>had these guys. I think some of them still do

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<v Speaker 3>with actual like people who try to drink a gallon

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<v Speaker 3>of milk in a day. There's that famous guy. He

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<v Speaker 3>has a book called Starting Strength. He's like a cult

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<v Speaker 3>guru within the Barbelle world. Whose name I'm blanking on.

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<v Speaker 3>I think he's a big like drink a bunch of

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<v Speaker 3>milk guy.

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<v Speaker 2>If you're serious about it, you got to mix raw

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<v Speaker 2>eggs in with the milk. That's what I say.

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<v Speaker 1>You do.

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<v Speaker 3>Have you done that? No?

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<v Speaker 2>I haven't, although I did when I triple fractured my

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<v Speaker 2>foot when I was in Hong Kong, and I did

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<v Speaker 2>have a doctor who advised me to drink a lot

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<v Speaker 2>of milk to build up the calcium and heal the foot. Anyway,

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<v Speaker 2>we're getting slightly off topic.

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<v Speaker 3>Yeah, Okay.

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<v Speaker 2>One of the milk brands that you see a lot

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<v Speaker 2>in gyms is something called fair Life.

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<v Speaker 3>Yeah, I've seen it, and I actually literally like had

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<v Speaker 3>never thought about what it is or but yes, I

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<v Speaker 3>had seen this brand.

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<v Speaker 2>Okay, so I don't know that much about it, but

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<v Speaker 2>I first got kind of interested in the company reading

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<v Speaker 2>Austin Ferrick's book Barrens. There's a whole chapter in there

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<v Speaker 2>about dairy barns and it's about fair Oaks, which turned

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<v Speaker 2>into fair Life. All I know about fair Life is

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<v Speaker 2>that Coke bought them. They had a big distribution deal

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<v Speaker 2>with Coke, and we know how important distribution is in

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<v Speaker 2>the beverage industry from our previous conversations on Celsius and

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<v Speaker 2>things like that. And it's turned into this phenomenon where

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<v Speaker 2>fair Life is this milk that's I guess supposed to

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<v Speaker 2>be healthier. It has more protein, it has less lactose

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<v Speaker 2>or no lactose I can't remember, which means you can

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<v Speaker 2>keep it in your fridge for like one hundred days,

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<v Speaker 2>which is actually I find that useful. So we should

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<v Speaker 2>talk about it because it's also kind of kicked off

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<v Speaker 2>this whole protein crazy.

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<v Speaker 3>Protein only got protein everywhere I know, I don't get it. Like, yes,

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<v Speaker 3>Starbucks they have these you can get this protein drinks.

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<v Speaker 3>I haven't tried them yet. I you know, when did

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<v Speaker 3>it become a crime to just eat normally? I get

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<v Speaker 3>I ate some eat and I ate some veggies and

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<v Speaker 3>occasionally eat some carbs and stuff like that and whatever.

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<v Speaker 3>But yeah, over time, it's like different macro nutrients trend, right,

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<v Speaker 3>So there was a while it's like good fats, right,

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<v Speaker 3>people are really into fats for a while, and then

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<v Speaker 3>it's like, oh, you need fermented stuff, so you know,

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<v Speaker 3>they's more for your gut health. But we're in like

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<v Speaker 3>a we're certainly in a protein bowl market right now.

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<v Speaker 3>People really want more protein because reasons.

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<v Speaker 2>Yeah, And what's interesting again about fair Life is it's

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<v Speaker 2>making a lot of money that's feeding into Coke bottom line.

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<v Speaker 2>Share price has gone up quite a bit, and it's

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<v Speaker 2>also at odds with basically everything else that's happening in

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<v Speaker 2>the dairy industry, where you know, prices tend to be

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<v Speaker 2>pretty low and have been kind of stuck in a

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<v Speaker 2>downward spiral for a long time. Profit margins are very

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<v Speaker 2>very thin, so this is an outlier.

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<v Speaker 3>People are assuming less traditional dairy. I think a lot,

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<v Speaker 3>you know, at least I don't know how big is

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<v Speaker 3>it it is, but some of the quote alternative milks,

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<v Speaker 3>the almond milks of the world, the cashew milk, so

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<v Speaker 3>he milk's probably taking some yeah, plain old regular dairy.

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<v Speaker 3>No I ever talked on, by the way, number two milk.

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<v Speaker 3>I feel like everyone's either skim or fat. These days

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<v Speaker 3>because more of the sort of like polarization of society

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<v Speaker 3>that no one likes nice middle ground milk anymore. So

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<v Speaker 3>now apparently they want super high protein milk too.

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<v Speaker 2>All right, So we have the perfect guest, yes to

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<v Speaker 2>discuss fair Life and the dairy industry in general. We're

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<v Speaker 2>going to be speaking with Corey Geiger. He is the

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<v Speaker 2>lead dairy economist with Cobank, which is a very big

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<v Speaker 2>lender to the industry, so really the perfect person to

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<v Speaker 2>speak to.

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<v Speaker 3>Corey.

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<v Speaker 2>Thank you so much for coming on.

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<v Speaker 4>All thoughts, Well, I'm glad to be here Tracy and Joel.

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<v Speaker 2>So I'm going to start with the basic question what

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<v Speaker 2>differentiates fair life from traditional milk.

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<v Speaker 4>I think there's two big parts to this, protein and portability.

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<v Speaker 4>The portability is it's ultra pasteurized and uses aseptic packaging,

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<v Speaker 4>so that means it you can actually ship it without refrigeration.

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<v Speaker 4>And when you think about the dairy industry, the dairy

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<v Speaker 4>industry is the largest refrigerated food chain in the world. Really,

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<v Speaker 4>you think, as soon as we milk a cow and

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<v Speaker 4>we cool the milk, it's cooled in the truck to

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<v Speaker 4>the processing plant, and then traditional dairy products are refrigerated

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<v Speaker 4>all the way to the grocery store at a convenience store.

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<v Speaker 4>But the fair Life story and products like it now

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<v Speaker 4>are when you go to that aseptic packaging and altar

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<v Speaker 4>filtration until you open that bottle, it's got a lot

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<v Speaker 4>longer shelf life. Of course, once it's opened, you're at

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<v Speaker 4>the fourteen day clock starts ticking.

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<v Speaker 3>This technology that allows you to store milk for a

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<v Speaker 3>long time without refrigeration. Is this something that's been understood

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<v Speaker 3>for a long time and now there's suddenly a demand

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<v Speaker 3>for this milk or is the technology relatively recent? And

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<v Speaker 3>then the industry is like, oh, we can because of

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<v Speaker 3>this technology, we can market and get people excited about

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<v Speaker 3>a new product that can take advantage of these capabilities.

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<v Speaker 4>Well, fair Life first came on the scene in twenty fourteen,

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<v Speaker 4>so it's been with us about a decade. But one

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<v Speaker 4>of the things that the team at fair Life had

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<v Speaker 4>to really perfect was this high temperature, short time pasturization,

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<v Speaker 4>so you're heating the milk up quick and then cooling

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<v Speaker 4>it quick. One of the things I like sharing is

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<v Speaker 4>that milk is nature's most perfect beverage. You talked about

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<v Speaker 4>it being a health beverage. If it's nature's most perfect beverage,

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<v Speaker 4>that also means it's a great place to grow bacteria.

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<v Speaker 4>So pasteurization. You know, over one hundred years ago, the

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<v Speaker 4>Pasteurized Milk Ordinance came about, and that set a national

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<v Speaker 4>standard so that a Wisconsin farmer could sell milk in

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<v Speaker 4>the Chicago market, or an upstate New York farmer could

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<v Speaker 4>sell milk into the New York City under the same

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<v Speaker 4>rules and standards. But going to this ultra the HTST

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<v Speaker 4>the high temperature short time pasteurization, Originally you kind of

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<v Speaker 4>got a burnt milk taste. So if you're a consumer

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<v Speaker 4>and you're tasting it, you're like, eh, it didn't hit

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<v Speaker 4>the mark. But now they perfected that process and you

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<v Speaker 4>really get the flavor that you've come to expect from

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<v Speaker 4>a dairy milk.

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<v Speaker 2>You mentioned having to sell into markets, and I'm not

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<v Speaker 2>quite sure why, but I was reading a book about

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<v Speaker 2>small scale farming from the nineteen fifties last night and

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<v Speaker 2>it was talking about if you're a small scale farmer

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<v Speaker 2>and you want to get into dairy, you have some options.

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<v Speaker 2>One option is you sell into a local market that's

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<v Speaker 2>very close to you, because you know you can't refrigerate

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<v Speaker 2>the milk for that long, or you sell to like

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<v Speaker 2>a cheese factory or something like that, and you can

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<v Speaker 2>go a little bit further, sell maybe more in bulk

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<v Speaker 2>that sort of thing. How big a deal was fair

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<v Speaker 2>Life's distribution deal with Coke in its success, This idea

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<v Speaker 2>that now you have a bed that can be shipped

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<v Speaker 2>over very very long distances, long timelines, and you have

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<v Speaker 2>Coke distributing it.

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<v Speaker 4>I think it was huge when you really look at it.

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<v Speaker 4>If you look at the founders of the concept of

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<v Speaker 4>what became fair Life. Originally they were experimenting Mike and

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<v Speaker 4>Sue McCloskey with a product that they eventually called athletes

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<v Speaker 4>Milk Honey, and so they were looking at finding a

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<v Speaker 4>health beverage for consumers in that market. So there's one

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<v Speaker 4>thing to be innovative. Then it's distribution. And one of

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<v Speaker 4>the for me, I grew up on a sixth generation

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<v Speaker 4>Wisconsin dairy farmer, one of the obstacles always for milk

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<v Speaker 4>has been portability. You know, it's you have to have

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<v Speaker 4>this elaborate transportation system to move it. And I'm talking

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<v Speaker 4>beverage milk here, and that really overcame the situation with

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<v Speaker 4>what Fair Life has done with aseptic packaging and the

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<v Speaker 4>HSUT process to hype pastorization. It was game changing.

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<v Speaker 3>I think this is old news, but it used to

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<v Speaker 3>be the case that milk prices what's the deal they

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<v Speaker 3>were like set based on your distance from Oak Claire,

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<v Speaker 3>Wisconsin or something like that, because there was this premise like, oh,

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<v Speaker 3>we want milk very far away, and you sell to

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<v Speaker 3>your local market. And explained it that went away or something.

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<v Speaker 3>But why was Oa Claire, Wisconsin this sort of central

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<v Speaker 3>hub for a while of the index for pricing milk.

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<v Speaker 4>Explain that, yes, there's a number of reasons for it. Actually,

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<v Speaker 4>we'll start with a little dairy history. Up until about ten,

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<v Speaker 4>New York was the largest milk producing state in the

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<v Speaker 4>United States. Then that became Wisconsin, and obviously now America's

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<v Speaker 4>dairy Land is on the license plates Wisconsin. Actually, in

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<v Speaker 4>the eighteen late eighteen hundreds, a gentleman who became governor

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<v Speaker 4>of the state, William Dempster Hoartz, secured the first refrigerated

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<v Speaker 4>real car to ship Wisconsin to New York City in

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<v Speaker 4>the eighteen seventies, and today Wisconsin exports about ninety percent

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<v Speaker 4>of their milk production via cheese, and that export could

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<v Speaker 4>be the other forty nine states and certainly now around

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<v Speaker 4>the world. But because of all the cheese made in

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<v Speaker 4>Wisconsin and Minnesota, Well Claire was that kind of center

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<v Speaker 4>point between Wisconsin and Minnesota to establish a base price

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<v Speaker 4>for milk. That went away here in about two thousand

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<v Speaker 4>and we have a different system, but milk is still

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<v Speaker 4>highly regulated under Federal Milk Marketing Orders, which is really

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<v Speaker 4>what establishes milk prices.

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<v Speaker 3>Could you just real quickly explain one of these words.

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<v Speaker 3>What does that mean? Like it's regular because the prices

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<v Speaker 3>do fluctuate, So what does that mean that it's still

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<v Speaker 3>highly regulated?

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<v Speaker 4>Yeah, highly regulated means that Federal Milk Marketing Orders. There's

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<v Speaker 4>four classes of milk. Class one would be beverage milk.

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<v Speaker 4>That would be the traditional milk that you drink. And

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<v Speaker 4>when you come back to the Fair Life story and

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<v Speaker 4>you discussed that milk fluid milk sales have been flat,

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<v Speaker 4>but products like Fair Life and Core Power in those

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<v Speaker 4>are actually a mixture of fluid milk. In Class two,

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<v Speaker 4>products which traditionally have been scupable products like yogurt, ice

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<v Speaker 4>cream would be in there. Sour cream would be in there,

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<v Speaker 4>and then Class three I liked sharing little miss Tuffett

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<v Speaker 4>sat on her muffet eating her curds in waste of

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<v Speaker 4>Class three is cheese, curds and whey, and then Class

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<v Speaker 4>four products are butter and powder, and butt powder would

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<v Speaker 4>be non fat dry milk. But each of these classes

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<v Speaker 4>has different pricing mechanisms, and today beverage milk is priced

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<v Speaker 4>on the higher of Class three or class four. It

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<v Speaker 4>gets complicated, and that's why I call their very regulated.

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<v Speaker 4>But these orders came about in nineteen thirty seven. It

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<v Speaker 4>was an act of Congress and it was to ensure

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<v Speaker 4>the orderly marketing milk and ensure fluid milk in markets

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<v Speaker 4>that don't have a lot of dairy coves.

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<v Speaker 2>So one thing I learned from reading my old farming

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<v Speaker 2>book is that there are a lot of levers that

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<v Speaker 2>you can pull if you're again this is for small

0:12:14.760 --> 0:12:17.040
<v Speaker 2>scale farming, but there are levers you can pull to

0:12:17.080 --> 0:12:19.520
<v Speaker 2>boost profits. So maybe you're not going to make that

0:12:19.600 --> 0:12:22.920
<v Speaker 2>much from milk itself, but you know, you can sell

0:12:22.960 --> 0:12:27.040
<v Speaker 2>the calves for veal, or once the dairy production starts

0:12:27.080 --> 0:12:29.840
<v Speaker 2>going down with your cows, you can sell those, or

0:12:29.960 --> 0:12:32.960
<v Speaker 2>you can sell manure for fertilizer and things like that,

0:12:33.080 --> 0:12:35.360
<v Speaker 2>all these different levers. Can you talk a little bit

0:12:35.400 --> 0:12:38.640
<v Speaker 2>more about the actual business model of a dairy farm

0:12:38.800 --> 0:12:42.520
<v Speaker 2>and where money comes from nowadays, because I imagine it's

0:12:42.640 --> 0:12:43.480
<v Speaker 2>changed quite a bit.

0:12:45.040 --> 0:12:48.719
<v Speaker 4>This is a dynamic space and from over. We'll talk

0:12:48.760 --> 0:12:51.800
<v Speaker 4>about the dairy farm in a second. But dairy right

0:12:51.840 --> 0:12:55.480
<v Speaker 4>now has eleven billion dollars of new plant investment in

0:12:55.520 --> 0:12:59.360
<v Speaker 4>the United States, and it's a number of categories, so

0:12:59.400 --> 0:13:01.520
<v Speaker 4>there's a lot of energy taking place in a lot

0:13:01.520 --> 0:13:04.440
<v Speaker 4>of investment. This is historic investment. When you get to

0:13:04.480 --> 0:13:07.760
<v Speaker 4>the dairy farm. Obviously, if you're a milking cows, your

0:13:07.840 --> 0:13:11.360
<v Speaker 4>number one revenue source is milk. I would say up

0:13:11.400 --> 0:13:14.760
<v Speaker 4>until five years ago, ninety percent of your income came

0:13:14.800 --> 0:13:17.080
<v Speaker 4>from milk, unless you were selling a lot of crops.

0:13:17.080 --> 0:13:19.679
<v Speaker 4>But one of the dynamic things that have changed, and

0:13:19.720 --> 0:13:23.000
<v Speaker 4>it's in the news a lot right now, is beef prices,

0:13:23.720 --> 0:13:27.400
<v Speaker 4>and every cow has a second career as a beef animal.

0:13:28.120 --> 0:13:32.520
<v Speaker 4>About five years ago, well I considered the dairy cow

0:13:32.559 --> 0:13:35.360
<v Speaker 4>the most researched animal on planet Earth. We know more

0:13:35.400 --> 0:13:37.920
<v Speaker 4>about her. We have over one hundred and twenty three

0:13:38.000 --> 0:13:40.320
<v Speaker 4>million records on her over the last one hundred years.

0:13:40.760 --> 0:13:44.600
<v Speaker 4>In two thousand and eight, the science of genomics came

0:13:44.640 --> 0:13:47.760
<v Speaker 4>into the industry. I was actually the first one to

0:13:47.760 --> 0:13:49.880
<v Speaker 4>write a public article about it. But what you do

0:13:50.040 --> 0:13:53.400
<v Speaker 4>is you take a DNA sample from the cow, you

0:13:53.480 --> 0:13:55.880
<v Speaker 4>run her profile, and you can compare it to all

0:13:55.920 --> 0:13:59.000
<v Speaker 4>this phenotypic data that one hundred and twenty three million

0:13:59.000 --> 0:14:04.400
<v Speaker 4>records about seventy percent accuracy, we can predict what that

0:14:04.520 --> 0:14:07.800
<v Speaker 4>baby calf will do as a cow, and that has

0:14:07.960 --> 0:14:12.160
<v Speaker 4>changed a lot of things in dairy. We are improving

0:14:12.200 --> 0:14:16.920
<v Speaker 4>butterfat and protein levels at paces we've never seen before.

0:14:16.960 --> 0:14:21.120
<v Speaker 4>And these days one out of four heifer calves, baby

0:14:21.240 --> 0:14:24.880
<v Speaker 4>calves that will eventually become cows, have a genomic test

0:14:24.960 --> 0:14:29.560
<v Speaker 4>run on them, and that has really changed things. Then

0:14:29.680 --> 0:14:33.520
<v Speaker 4>as that took place, gender sorted seamen came into the industry,

0:14:33.640 --> 0:14:37.280
<v Speaker 4>so we can they use lasers. They can sort out

0:14:37.280 --> 0:14:40.320
<v Speaker 4>the y chromosomes which make a bull calf, and with

0:14:40.400 --> 0:14:43.600
<v Speaker 4>about ninety to ninety five percent accuracy, produce a product

0:14:43.600 --> 0:14:48.360
<v Speaker 4>that makes dairy heffercalves. So dairy farmers are planning their replacements.

0:14:49.000 --> 0:14:52.520
<v Speaker 4>They're using science to predict the ones and that opened

0:14:52.520 --> 0:14:57.040
<v Speaker 4>a whole new door to use what we call beef breeds,

0:14:57.080 --> 0:15:02.960
<v Speaker 4>think angus, limousine, charlat that we breed those, we'd use

0:15:03.080 --> 0:15:07.760
<v Speaker 4>artificial insemination. The original AI and agriculture had artificial intelligence

0:15:08.120 --> 0:15:12.760
<v Speaker 4>to inseminate the cows, and dairy farmers are making more

0:15:12.800 --> 0:15:16.160
<v Speaker 4>money on that these days. So about five years ago,

0:15:16.840 --> 0:15:20.600
<v Speaker 4>back to Tracy's original question, a dairy farmer was making

0:15:20.640 --> 0:15:23.600
<v Speaker 4>about one dollar per hundred weight per hundred pounds of

0:15:23.600 --> 0:15:27.480
<v Speaker 4>milk equivalent from beef sales, and say a dairy farmer's

0:15:27.520 --> 0:15:30.000
<v Speaker 4>making eighteen to twenty, So it wasn't eighteen to twenty

0:15:30.000 --> 0:15:32.200
<v Speaker 4>dollars per hundred weight for milk. It wasn't a big deal.

0:15:32.640 --> 0:15:35.160
<v Speaker 4>But today that number has gone to four four fifty.

0:15:35.320 --> 0:15:39.360
<v Speaker 4>So we're generating a baby black heighted calf. An angus

0:15:39.400 --> 0:15:42.720
<v Speaker 4>calf that's destined for a feed lot eventually is selling

0:15:42.760 --> 0:15:46.000
<v Speaker 4>between twelve and eighteen hundred dollars right now, and so

0:15:46.040 --> 0:15:49.560
<v Speaker 4>it's a big revenue stream doesn't no matter what size

0:15:49.600 --> 0:16:04.800
<v Speaker 4>your farmers, everybody can play.

0:16:07.000 --> 0:16:10.680
<v Speaker 3>So when you're talking about improving sort of butterfat and

0:16:10.840 --> 0:16:14.080
<v Speaker 3>so forth, what is going is it selective breeding? That

0:16:14.240 --> 0:16:16.680
<v Speaker 3>just means that you're more likely to get a baby

0:16:16.760 --> 0:16:20.800
<v Speaker 3>cow that has high levels of whatever you're looking for, like, what.

0:16:20.800 --> 0:16:22.000
<v Speaker 2>Is better production rate?

0:16:22.120 --> 0:16:25.280
<v Speaker 3>Yeah, what is the source of I guess higher yields.

0:16:25.560 --> 0:16:28.880
<v Speaker 4>So I'm past president of Holstein Association USA, which is

0:16:28.920 --> 0:16:32.080
<v Speaker 4>the largest dairy breed organization in the world, and that

0:16:32.160 --> 0:16:35.440
<v Speaker 4>source is a bundle of metrics. We study a lot

0:16:35.480 --> 0:16:39.040
<v Speaker 4>of traits. Certainly the big two would be butterfat, well

0:16:39.080 --> 0:16:41.800
<v Speaker 4>big three would be butter fat, protein, and milk, but

0:16:42.080 --> 0:16:45.280
<v Speaker 4>we are also looking at mass titus, resistance or that

0:16:45.360 --> 0:16:48.040
<v Speaker 4>you know, the ability to combat and infection. In the

0:16:48.080 --> 0:16:51.560
<v Speaker 4>other we're looking for longevity, which as a trait we

0:16:51.600 --> 0:16:54.840
<v Speaker 4>call productive life, or even daughter pregnancy rate, which is

0:16:54.840 --> 0:16:58.800
<v Speaker 4>a fertility metric. So that's this bundle of better yields

0:16:58.840 --> 0:17:03.320
<v Speaker 4>from the cow and reduce costs from the standpoint of

0:17:03.560 --> 0:17:07.360
<v Speaker 4>healthcare and those kind of things. And right now, if

0:17:07.400 --> 0:17:10.240
<v Speaker 4>you use the best group of Holstein bulls or even

0:17:10.320 --> 0:17:14.320
<v Speaker 4>Jersey bulls on the next generation, each year, we're improving

0:17:14.520 --> 0:17:18.600
<v Speaker 4>genetics one hundred dollars per year. Prior to genomics that

0:17:18.680 --> 0:17:22.399
<v Speaker 4>number was like thirteen dollars. So this is like significant

0:17:23.080 --> 0:17:28.639
<v Speaker 4>improvement and using natural science and really doing a better job.

0:17:29.320 --> 0:17:34.440
<v Speaker 2>Sorry, I started laughing at the mastitis reference because it's hilarious.

0:17:34.840 --> 0:17:35.560
<v Speaker 2>It's hilarious.

0:17:35.680 --> 0:17:35.760
<v Speaker 1>No.

0:17:35.960 --> 0:17:39.520
<v Speaker 2>One of the old timey solutions for this in that

0:17:39.600 --> 0:17:43.439
<v Speaker 2>old book was using a bicycle pump to inflate the

0:17:43.480 --> 0:17:47.040
<v Speaker 2>cows utters. Huh, So I'm guessing people don't do that

0:17:47.160 --> 0:17:48.040
<v Speaker 2>so much anymore.

0:17:48.600 --> 0:17:52.040
<v Speaker 4>That is true, we do not do that any Okay.

0:17:52.280 --> 0:17:55.840
<v Speaker 2>What about you know you're talking about income that dairy

0:17:55.880 --> 0:17:59.360
<v Speaker 2>farms can generate. What's going on with the actual input

0:17:59.440 --> 0:18:03.639
<v Speaker 2>prices because it takes a lot, again from reading this book,

0:18:03.920 --> 0:18:06.240
<v Speaker 2>takes a lot of feed, a lot of hay, a

0:18:06.240 --> 0:18:10.160
<v Speaker 2>lot of grains to actually get these cows producing milk

0:18:10.280 --> 0:18:12.320
<v Speaker 2>and also up to size if you're going to sell

0:18:12.359 --> 0:18:12.920
<v Speaker 2>them for beef.

0:18:13.480 --> 0:18:16.600
<v Speaker 4>So the biggest costs on a dairy farm are feed

0:18:16.640 --> 0:18:20.000
<v Speaker 4>and labor. My wife's family was actually the first to

0:18:20.080 --> 0:18:22.760
<v Speaker 4>put robots in twenty five years ago in the United

0:18:22.760 --> 0:18:25.680
<v Speaker 4>States start milking their cow. So some farmers are using

0:18:25.760 --> 0:18:30.119
<v Speaker 4>robot technology, but that's not exactly mainstream at this point.

0:18:30.280 --> 0:18:34.040
<v Speaker 4>But look at the near term prices for feed soybean

0:18:34.240 --> 0:18:37.720
<v Speaker 4>and corn grain, certainly in LFELFA are some of the

0:18:37.720 --> 0:18:41.880
<v Speaker 4>core constituents. Those prices are down now that's a good

0:18:41.880 --> 0:18:44.200
<v Speaker 4>thing if you're a livestock producer, not a great thing

0:18:44.320 --> 0:18:47.760
<v Speaker 4>if you're a row crop farmer. The other thing, these days,

0:18:48.040 --> 0:18:51.720
<v Speaker 4>thirty seven percent of the US corn crop actually goes

0:18:51.760 --> 0:18:56.960
<v Speaker 4>to biofuels ethanol, so there's byproduct feeds there as well

0:18:57.000 --> 0:19:01.720
<v Speaker 4>as in the soybean space. We're making biodiesel and one

0:19:01.760 --> 0:19:04.359
<v Speaker 4>of the by products of that is soybean meals. So

0:19:04.400 --> 0:19:08.160
<v Speaker 4>the cow is a great recycler. In fact, that four

0:19:08.240 --> 0:19:11.160
<v Speaker 4>stomachs of the cow allow her to eat a lot

0:19:11.200 --> 0:19:14.000
<v Speaker 4>of by product feeds. And I've traveled I think I've

0:19:14.000 --> 0:19:16.320
<v Speaker 4>been to forty eight states covering the dairy industry.

0:19:16.560 --> 0:19:16.720
<v Speaker 2>You know.

0:19:16.760 --> 0:19:20.600
<v Speaker 4>I've seen tomatoes and carrots that didn't make human grade

0:19:20.920 --> 0:19:23.119
<v Speaker 4>food in California get fed to cows. I've been in

0:19:23.119 --> 0:19:27.119
<v Speaker 4>Ohio where reject jelly from smuckers has been fed to cows.

0:19:27.160 --> 0:19:30.639
<v Speaker 4>I've been to Canada where a farmer plows out driveway

0:19:30.800 --> 0:19:34.200
<v Speaker 4>next door of the plant that makes biscuits for McDonald's

0:19:34.200 --> 0:19:37.000
<v Speaker 4>and the reject biscuits go into what is a total

0:19:37.040 --> 0:19:40.000
<v Speaker 4>mixed ration a TMR, So it's a big food blender

0:19:40.480 --> 0:19:42.760
<v Speaker 4>mixes up all the food and the cows get a

0:19:43.080 --> 0:19:45.959
<v Speaker 4>blended diet. So it's kind of a remarkable story.

0:19:46.520 --> 0:19:49.840
<v Speaker 2>Honestly, a cow fed on McDonald's biscuit sounds pretty good.

0:19:49.880 --> 0:19:52.440
<v Speaker 3>So great. It sounds like a cow is just an

0:19:52.440 --> 0:19:57.560
<v Speaker 3>amazing machine. All of these discarded food products go in

0:19:58.200 --> 0:20:00.640
<v Speaker 3>that people that there are no other use because most

0:20:00.640 --> 0:20:02.880
<v Speaker 3>of us don't have four stomachs. And then every year

0:20:02.960 --> 0:20:05.520
<v Speaker 3>the cows get better at production, or you get better

0:20:05.760 --> 0:20:09.959
<v Speaker 3>at producing higher producing cows. Sounds like a great business.

0:20:10.400 --> 0:20:15.239
<v Speaker 4>It is remarkable. And that's why. Even though milk is

0:20:15.320 --> 0:20:18.959
<v Speaker 4>a product that is very consistent, every farm is different

0:20:19.000 --> 0:20:21.400
<v Speaker 4>and however they approach it. You know, there's very there's

0:20:21.400 --> 0:20:24.240
<v Speaker 4>similarities to it, but there's a lot of regional differences

0:20:24.240 --> 0:20:24.720
<v Speaker 4>as well.

0:20:25.119 --> 0:20:29.879
<v Speaker 2>Wait, okay, so cows might be amazing machines. Amazing machines.

0:20:29.960 --> 0:20:30.920
<v Speaker 3>Yeah, good machines.

0:20:31.000 --> 0:20:32.720
<v Speaker 2>Thank you. I had to get at least one pun

0:20:32.800 --> 0:20:38.480
<v Speaker 2>in there. But the dairy industry, we hear, has been challenged, right,

0:20:38.560 --> 0:20:41.000
<v Speaker 2>So consumption has been going down. I think I read

0:20:41.040 --> 0:20:44.080
<v Speaker 2>somewhere it's down forty percent in the US since nineteen

0:20:44.160 --> 0:20:49.960
<v Speaker 2>seventy five something like that. Profit margins are still pretty compressed.

0:20:50.440 --> 0:20:53.439
<v Speaker 2>Prices seem to be on basically it's a race to

0:20:53.520 --> 0:20:55.320
<v Speaker 2>the bottom, and so you've kind of seen a lot

0:20:55.359 --> 0:20:59.480
<v Speaker 2>of consolidation of the smaller farms into these big dairy conglomerates.

0:20:59.560 --> 0:21:00.879
<v Speaker 2>Is that this story there?

0:21:01.520 --> 0:21:04.560
<v Speaker 4>Well, I want to back up first though. Dairy consumption

0:21:04.720 --> 0:21:07.359
<v Speaker 4>is actually at the highest level it's been in forty years,

0:21:07.400 --> 0:21:10.040
<v Speaker 4>and we measure that. We have some really good USDA

0:21:10.160 --> 0:21:13.560
<v Speaker 4>data on that. But if you look at your term,

0:21:13.720 --> 0:21:16.080
<v Speaker 4>you know, we started out talking about fair Life, that's

0:21:16.800 --> 0:21:20.440
<v Speaker 4>Coca Cola's newest one billion dollar brand. If you look

0:21:20.480 --> 0:21:24.760
<v Speaker 4>at yogurt year over a year, it's up almost ten percent.

0:21:24.880 --> 0:21:27.600
<v Speaker 4>One of the big stories in the yogurt category is

0:21:28.520 --> 0:21:32.360
<v Speaker 4>certainly Shabani and I would have half of the sales

0:21:32.359 --> 0:21:35.320
<v Speaker 4>of yogurt these days are Greek yogurt, which are high

0:21:35.320 --> 0:21:39.440
<v Speaker 4>protein yogurt. Another category that's been exploding. It's we made

0:21:39.600 --> 0:21:43.600
<v Speaker 4>Grandma's cottage cheese hip again, and cottage cheese is up.

0:21:43.600 --> 0:21:46.200
<v Speaker 3>The cottage cheese is great. I always thought it always

0:21:46.240 --> 0:21:48.520
<v Speaker 3>feels like it should have a moment more like Greek yogurt,

0:21:48.560 --> 0:21:50.280
<v Speaker 3>and it's like, oh, this is cottage cheese is year?

0:21:50.400 --> 0:21:51.480
<v Speaker 3>Is it finally happening?

0:21:52.040 --> 0:21:54.960
<v Speaker 4>It is? And people can't make it fast enough. I

0:21:55.040 --> 0:22:00.000
<v Speaker 4>was actually talking to a dairy processor at Wisconsin Cheesemakers

0:22:00.520 --> 0:22:03.520
<v Speaker 4>just last week when it comes to yogurt, and one

0:22:03.560 --> 0:22:07.600
<v Speaker 4>of his customers said, can you get me more? And

0:22:07.640 --> 0:22:09.640
<v Speaker 4>he goes, well, not until next year, and he goes, well,

0:22:09.680 --> 0:22:12.560
<v Speaker 4>just send me whatever you can. It's those products are

0:22:12.680 --> 0:22:15.879
<v Speaker 4>very tight right now. And then cheese consumption is at

0:22:15.880 --> 0:22:19.439
<v Speaker 4>an all time high, actually at forty pounds per person

0:22:19.720 --> 0:22:22.439
<v Speaker 4>per year per capita. So those are some big growth areas.

0:22:22.640 --> 0:22:25.639
<v Speaker 4>What you're probably seeing Tracy, though, is the story on

0:22:25.720 --> 0:22:29.280
<v Speaker 4>fluid milk. In the nineteen seventies, the average American drank

0:22:29.440 --> 0:22:33.159
<v Speaker 4>thirty gallons a year, and now we're probably closer to

0:22:33.240 --> 0:22:37.760
<v Speaker 4>nineteen gallons. One of the things for fluid milk is

0:22:37.840 --> 0:22:42.479
<v Speaker 4>it's hitch to dry breakfast cereal compliments to one another,

0:22:42.920 --> 0:22:45.600
<v Speaker 4>and in fact, one third of all fluid milk it's

0:22:45.680 --> 0:22:48.560
<v Speaker 4>consumed on dry breakfast cereal, and that category has not

0:22:48.720 --> 0:22:51.680
<v Speaker 4>been going well. But then you flip over to these

0:22:52.000 --> 0:22:55.639
<v Speaker 4>the core power, which is really a high protein milkshake,

0:22:56.240 --> 0:22:59.719
<v Speaker 4>and that is not actually tracked in the fluid beverage

0:22:59.760 --> 0:23:05.040
<v Speaker 4>cat it's considered a different product. We have seen consolidation

0:23:05.160 --> 0:23:08.440
<v Speaker 4>in the dairy industry. There's fewer dairy farms each year.

0:23:08.480 --> 0:23:11.199
<v Speaker 4>But the interesting thing is I graduated college in nineteen

0:23:11.280 --> 0:23:15.040
<v Speaker 4>ninety five. While dairy farm numbers are down, the number

0:23:15.080 --> 0:23:19.760
<v Speaker 4>of dairy cows are the same, essentially about nine nine

0:23:19.800 --> 0:23:23.560
<v Speaker 4>point three million, but milk production from those cows is

0:23:23.640 --> 0:23:26.240
<v Speaker 4>up forty five percent during that time. It just speaks

0:23:26.280 --> 0:23:31.000
<v Speaker 4>to the efficiency of the dairy cow and what things

0:23:31.040 --> 0:23:33.720
<v Speaker 4>are taking place on a dairy farm.

0:23:33.720 --> 0:23:38.000
<v Speaker 3>My intuition is correct that within the liquid milks category,

0:23:38.359 --> 0:23:41.679
<v Speaker 3>we've sort of everything in society has become so polarized,

0:23:41.680 --> 0:23:45.400
<v Speaker 3>and everyone loves extremes, and we see it in politics,

0:23:45.440 --> 0:23:48.040
<v Speaker 3>we see it everywhere. This is well known people. No

0:23:48.080 --> 0:23:51.760
<v Speaker 3>one likes the middle ground anymore. Within the liquid milk category,

0:23:52.200 --> 0:23:55.040
<v Speaker 3>has everyone sort of has gone to the extreme ends.

0:23:55.119 --> 0:23:57.679
<v Speaker 3>They want the high fat milk or the skim leaving

0:23:57.720 --> 0:23:59.840
<v Speaker 3>that good old two percent milk the missing middle.

0:24:01.160 --> 0:24:05.240
<v Speaker 4>That's a very interesting question, Joe. What's taking place in

0:24:05.320 --> 0:24:09.720
<v Speaker 4>fluid milk? I three big trends protein so products like

0:24:09.760 --> 0:24:12.880
<v Speaker 4>fair Life. Another one is lactose free. A new milk

0:24:12.920 --> 0:24:15.919
<v Speaker 4>plant going up today will have membrane technology and to

0:24:15.960 --> 0:24:20.280
<v Speaker 4>do reverse osmosis. And about everybody on the new milks

0:24:20.280 --> 0:24:22.960
<v Speaker 4>are pulling out lactose. And you've got to remember about

0:24:22.960 --> 0:24:27.080
<v Speaker 4>one third of Americans are probably lactose and tolerant, about

0:24:27.080 --> 0:24:29.240
<v Speaker 4>one hundred and twenty million. So let's make a product

0:24:29.240 --> 0:24:33.800
<v Speaker 4>that they can enjoy. And then in the traditional milk categories,

0:24:33.800 --> 0:24:36.760
<v Speaker 4>you're absolutely right, whole milk is about the only one

0:24:36.880 --> 0:24:40.280
<v Speaker 4>that's growing right now, skim, which is basically fat free,

0:24:40.520 --> 0:24:43.320
<v Speaker 4>and the other percentages are down. You know, the dietary

0:24:43.359 --> 0:24:48.080
<v Speaker 4>guidelines for Americans that USDA and FDA do every five

0:24:48.200 --> 0:24:52.280
<v Speaker 4>years haven't really changed their guidance on fat. But there's

0:24:52.320 --> 0:24:55.040
<v Speaker 4>a lot of research out there that said the fats

0:24:55.480 --> 0:24:59.920
<v Speaker 4>saturated fats found in dairy and animal protein like beef

0:25:00.080 --> 0:25:03.640
<v Speaker 4>and pork and poultry, fish too, seafood, are actually good

0:25:03.720 --> 0:25:05.879
<v Speaker 4>for you. And so so there are people already voting

0:25:05.920 --> 0:25:07.840
<v Speaker 4>with their pocketbooks this category.

0:25:08.359 --> 0:25:11.639
<v Speaker 2>One thing we learned from previous episodes on I Guess

0:25:11.800 --> 0:25:14.760
<v Speaker 2>Trendy Drinks of the Moment is the importance of shelf

0:25:14.840 --> 0:25:17.280
<v Speaker 2>placement in grocery stores. And I have to admit, when

0:25:17.320 --> 0:25:20.040
<v Speaker 2>I'm buying milk at a grocery store, I basically just

0:25:20.080 --> 0:25:24.000
<v Speaker 2>buy what's at eye level. I do buy whole milk though, Yeah,

0:25:24.040 --> 0:25:29.480
<v Speaker 2>that's the preference. But how important is placement for a

0:25:29.520 --> 0:25:33.400
<v Speaker 2>product like milk, which generally would be considered a staple

0:25:33.640 --> 0:25:36.879
<v Speaker 2>and perhaps doesn't have as much brand loyalty as some

0:25:36.960 --> 0:25:37.920
<v Speaker 2>other things.

0:25:38.520 --> 0:25:41.520
<v Speaker 4>Yeah, well, there's a reason in the grocery aisle. If

0:25:41.560 --> 0:25:43.480
<v Speaker 4>you look at if you walk through your grocery island

0:25:43.520 --> 0:25:47.520
<v Speaker 4>next time after listening to this podcast, dairy is often

0:25:47.560 --> 0:25:50.280
<v Speaker 4>in the back of the store because dairy is in

0:25:50.560 --> 0:25:54.199
<v Speaker 4>like over ninety five percent of households, so it's a

0:25:54.440 --> 0:25:59.280
<v Speaker 4>routinely purchased product, and that's part of the placement situation. Now.

0:25:59.280 --> 0:26:01.520
<v Speaker 4>About five years years ago, a lot of the plant

0:26:01.600 --> 0:26:05.360
<v Speaker 4>based beverages were making inroads, and those sales are actually

0:26:05.400 --> 0:26:09.760
<v Speaker 4>down now. People consumers, in my intuition, are looking for

0:26:09.840 --> 0:26:13.000
<v Speaker 4>clean labels and they want to see ingredients that they

0:26:13.000 --> 0:26:15.919
<v Speaker 4>can understand, and I think that's been part of the

0:26:16.000 --> 0:26:19.040
<v Speaker 4>changing tide in a dairy space as well. And it's

0:26:19.040 --> 0:26:21.520
<v Speaker 4>interesting when you look at it and you think about

0:26:22.040 --> 0:26:25.160
<v Speaker 4>we're just past a ten year anniversary now of Coca

0:26:25.200 --> 0:26:29.240
<v Speaker 4>Cola and Select Milk and Fair Life Partnership. Now there's

0:26:29.280 --> 0:26:32.320
<v Speaker 4>others that are looking into that space, you know, PepsiCo

0:26:32.520 --> 0:26:35.520
<v Speaker 4>has announced that they're going to have their Propel water

0:26:35.600 --> 0:26:37.479
<v Speaker 4>brand is going to have a clear protein in it

0:26:37.760 --> 0:26:41.880
<v Speaker 4>that has twenty grams of protein. And they're also reformulating

0:26:41.880 --> 0:26:44.440
<v Speaker 4>their muscle milk and they're going to have dairy based

0:26:44.480 --> 0:26:47.720
<v Speaker 4>protein in that category as well. I think when you

0:26:47.760 --> 0:26:52.800
<v Speaker 4>go to places like Costco or Walmart, dairy is just

0:26:52.880 --> 0:26:56.280
<v Speaker 4>not found in the dairy aisle anymore. It's shelf stable.

0:26:56.320 --> 0:26:58.400
<v Speaker 4>It could be in the health food section, it could

0:26:58.440 --> 0:27:01.920
<v Speaker 4>be in you know, all nutrition sections and those kind

0:27:01.960 --> 0:27:06.040
<v Speaker 4>of things. And so it's expanding beyond its traditional role

0:27:06.160 --> 0:27:11.160
<v Speaker 4>because of these high protein beverages. And also if you're

0:27:11.200 --> 0:27:13.679
<v Speaker 4>looking for calcium, some of these products are you know,

0:27:13.760 --> 0:27:15.880
<v Speaker 4>and one serving can get you fifty percent of that

0:27:16.000 --> 0:27:16.440
<v Speaker 4>as well.

0:27:32.320 --> 0:27:36.640
<v Speaker 3>The way these trends change when it comes to macro nutrients,

0:27:36.680 --> 0:27:38.840
<v Speaker 3>you know, someone I saw a tweet or something and

0:27:38.840 --> 0:27:40.920
<v Speaker 3>there's like a fiber is going to be the new protein.

0:27:41.000 --> 0:27:42.720
<v Speaker 3>That's going to be the big thing everyone wants.

0:27:42.760 --> 0:27:46.199
<v Speaker 2>We should encourage fiber. We should probably we're useful than

0:27:46.440 --> 0:27:48.800
<v Speaker 2>I mean, Americans consume a lot of protein already. I

0:27:48.800 --> 0:27:49.880
<v Speaker 2>don't know why we need more.

0:27:50.280 --> 0:27:53.880
<v Speaker 3>Apparently we need more, But does the industry, Like how

0:27:53.920 --> 0:27:56.960
<v Speaker 3>long does it take the industry to say, you know what,

0:27:57.080 --> 0:27:59.880
<v Speaker 3>this is a durable trend We're actually going to invest

0:28:00.240 --> 0:28:03.720
<v Speaker 3>in the processing space for this, because there's got to

0:28:03.760 --> 0:28:08.080
<v Speaker 3>be some risk. Consumers are very fickle Internet health influencers.

0:28:08.119 --> 0:28:10.800
<v Speaker 3>They may be onto something else by next year, like no,

0:28:10.880 --> 0:28:13.720
<v Speaker 3>you got to get whatever, you go back to low fat,

0:28:13.760 --> 0:28:17.280
<v Speaker 3>that's the new hot thing, etc. How do producers think

0:28:17.320 --> 0:28:22.440
<v Speaker 3>about their capital allocation budget when it comes to playing

0:28:22.480 --> 0:28:24.520
<v Speaker 3>on new trends within consumption.

0:28:25.080 --> 0:28:30.359
<v Speaker 4>Well that's a large and big question. Yeah, and you

0:28:30.440 --> 0:28:32.600
<v Speaker 4>really look at the long term trends and where things

0:28:32.640 --> 0:28:35.119
<v Speaker 4>are going. Tracy's absolutely right. If you read some of

0:28:35.160 --> 0:28:38.000
<v Speaker 4>the research. Fiber probably will be the next follow up

0:28:38.040 --> 0:28:40.840
<v Speaker 4>the protein. I hear people talking about how do I

0:28:40.880 --> 0:28:43.040
<v Speaker 4>put a protein drink out there with fiber in it

0:28:43.360 --> 0:28:46.640
<v Speaker 4>and bundle the two together. You know, when I was

0:28:47.160 --> 0:28:49.400
<v Speaker 4>going to grade school, there was a cheese out there

0:28:49.400 --> 0:28:52.800
<v Speaker 4>called Mazzarella in the late mid nineteen seventies that was

0:28:52.840 --> 0:28:56.600
<v Speaker 4>only at a couple pounds per capita consumption, and now

0:28:56.680 --> 0:29:02.280
<v Speaker 4>it's the most consumed cheese, largely because of its relationship

0:29:02.320 --> 0:29:06.440
<v Speaker 4>with pizza. So these mega trends can reshape categories. You

0:29:06.440 --> 0:29:09.080
<v Speaker 4>know in the nineteen well, let's back up even a

0:29:09.120 --> 0:29:12.320
<v Speaker 4>little further. There was in the nineteen sixties there was

0:29:12.360 --> 0:29:16.120
<v Speaker 4>an organization called the Wisconsin Feeder Pig Cooperative. And how

0:29:16.160 --> 0:29:18.360
<v Speaker 4>in the heck would that be formed in Wisconsin when

0:29:18.360 --> 0:29:21.720
<v Speaker 4>I was the largest hog state. But what was happening?

0:29:22.000 --> 0:29:25.560
<v Speaker 4>We didn't have the technology going back to kurds and

0:29:25.560 --> 0:29:28.400
<v Speaker 4>Way making cheese and why we could make cheese, but

0:29:28.600 --> 0:29:32.520
<v Speaker 4>the byproduct was way, and in Way was protein, the

0:29:32.560 --> 0:29:36.960
<v Speaker 4>most complete amino acid known humanity. But cheesemakers were just

0:29:36.960 --> 0:29:39.000
<v Speaker 4>set in a farmer's home with it do something. Some

0:29:39.040 --> 0:29:41.280
<v Speaker 4>would spread it on fields, some would feed it the

0:29:41.320 --> 0:29:44.000
<v Speaker 4>baby pigs. Well, we learned the baby pigs would grow

0:29:44.040 --> 0:29:47.520
<v Speaker 4>so fast, so that Wisconsin Feeder Pig co Op started

0:29:47.960 --> 0:29:50.360
<v Speaker 4>shipping two to three million feeder pigs that I want

0:29:50.400 --> 0:29:52.920
<v Speaker 4>to be finished with porn and soybeans. Well, now we

0:29:52.960 --> 0:29:58.000
<v Speaker 4>can use these big dryers just using drying and harvest

0:29:58.040 --> 0:30:01.360
<v Speaker 4>that way in a lot cheese plants, not a lot.

0:30:01.680 --> 0:30:03.880
<v Speaker 4>All the new cheese plants are really going in with

0:30:03.960 --> 0:30:06.479
<v Speaker 4>a business model not only to make cheese, but to

0:30:06.560 --> 0:30:10.520
<v Speaker 4>capture the way weigh. Protein isolates are selling roughly at

0:30:10.520 --> 0:30:13.400
<v Speaker 4>ten dollars a pound, which is record high. And so

0:30:13.480 --> 0:30:16.280
<v Speaker 4>these business models that are taking place and the research

0:30:16.360 --> 0:30:19.400
<v Speaker 4>to build these eleven billion dollars A new plant investment

0:30:19.960 --> 0:30:22.920
<v Speaker 4>is really how do we make more out of milk?

0:30:23.440 --> 0:30:27.720
<v Speaker 4>I think you know collagens and colostrum, and now a

0:30:27.800 --> 0:30:30.280
<v Speaker 4>new one is lacto fare in, which is one of

0:30:30.280 --> 0:30:34.440
<v Speaker 4>the milk components that really helps reduce inflammation. There's some

0:30:34.480 --> 0:30:37.600
<v Speaker 4>research out there, you know, depending on the number you see,

0:30:37.840 --> 0:30:40.959
<v Speaker 4>there may be five thousand there, maybe six three hundred

0:30:41.000 --> 0:30:44.480
<v Speaker 4>somewhere in their unique molecules and milk. And we are

0:30:44.720 --> 0:30:48.080
<v Speaker 4>just beginning to research that, learning what parts we can

0:30:48.120 --> 0:30:52.040
<v Speaker 4>pull apart and help humans. And there's going to be

0:30:52.080 --> 0:30:54.480
<v Speaker 4>more and more in that space here in the coming years.

0:30:54.600 --> 0:30:58.200
<v Speaker 4>And that's all part of that investment strategy. What's going

0:30:58.240 --> 0:31:00.880
<v Speaker 4>to take place in the plant years away from some

0:31:01.000 --> 0:31:01.200
<v Speaker 4>of that.

0:31:01.320 --> 0:31:04.360
<v Speaker 2>But so, one thing I know about farmers is they're

0:31:04.360 --> 0:31:08.120
<v Speaker 2>always complaining about something and no judgment there. I'm always

0:31:08.120 --> 0:31:10.719
<v Speaker 2>complaining about something too. Joe can attest to this, But

0:31:11.080 --> 0:31:14.200
<v Speaker 2>what are the current complaints that you're hearing the most

0:31:14.200 --> 0:31:15.320
<v Speaker 2>from dairy farms.

0:31:15.760 --> 0:31:19.080
<v Speaker 4>Well, right now, near term, ninety percent of milk in

0:31:19.080 --> 0:31:22.720
<v Speaker 4>the United States is priced on multiple component pricing. Dairy

0:31:22.720 --> 0:31:26.120
<v Speaker 4>farmers would see an mcpiece, so the ninety percent of

0:31:26.120 --> 0:31:29.840
<v Speaker 4>that pricing is butterfat and protein. Well, if you look

0:31:29.840 --> 0:31:33.560
<v Speaker 4>at protein and butterfat is two nascars on the racetrack.

0:31:33.600 --> 0:31:37.480
<v Speaker 4>From two thousand to two thousand and fourteen, the protein

0:31:37.720 --> 0:31:42.160
<v Speaker 4>nascar always won, and then as consumers started demanding more fat,

0:31:42.200 --> 0:31:45.680
<v Speaker 4>and remember the flavor is in the fat, butterfat won

0:31:45.840 --> 0:31:48.760
<v Speaker 4>eight of the last ten years. But right now we've

0:31:48.800 --> 0:31:52.520
<v Speaker 4>made so much butterfat that butter prices are down, not

0:31:52.560 --> 0:31:55.160
<v Speaker 4>only in the US but worldwide. So that's changed the

0:31:55.200 --> 0:31:57.240
<v Speaker 4>milk checks. So that would be if you went to

0:31:57.280 --> 0:31:59.920
<v Speaker 4>a dairy meeting right now to be like, that's what's

0:32:00.240 --> 0:32:02.960
<v Speaker 4>milk prices down here in the last sixty days. That's

0:32:03.000 --> 0:32:06.800
<v Speaker 4>one issue that is near on top of mind. The

0:32:06.920 --> 0:32:10.400
<v Speaker 4>other thing would be labor. Of course, it takes a

0:32:10.440 --> 0:32:14.720
<v Speaker 4>lot of people to run a dairy farm, and the

0:32:14.840 --> 0:32:18.560
<v Speaker 4>US dairy industry and a lot of farmers Americans don't

0:32:18.680 --> 0:32:21.400
<v Speaker 4>like doing dirty jobs when it comes down to it.

0:32:22.240 --> 0:32:25.640
<v Speaker 4>On weekends, I work on our family farm. But these

0:32:25.720 --> 0:32:28.840
<v Speaker 4>are still just like building homes. This is very hands

0:32:28.880 --> 0:32:32.200
<v Speaker 4>on process here and that would be another issue that

0:32:32.360 --> 0:32:35.800
<v Speaker 4>would be top of mind dairy farmers, and you'll always

0:32:35.840 --> 0:32:38.800
<v Speaker 4>get a good conversation on the weather. Farmers in general.

0:32:38.840 --> 0:32:41.320
<v Speaker 4>Are we always beholding to Mother Nature?

0:32:42.440 --> 0:32:46.200
<v Speaker 3>It's interesting you didn't say trade, but partly like I

0:32:46.240 --> 0:32:51.680
<v Speaker 3>get the impression that there's always a million little lawsuits

0:32:51.720 --> 0:32:55.280
<v Speaker 3>going on between Wisconsin farmers and their friends on the

0:32:55.320 --> 0:32:58.520
<v Speaker 3>other side of the border about some rules of origin

0:32:58.720 --> 0:33:01.320
<v Speaker 3>and they're not buying enough this. It seems like this

0:33:01.400 --> 0:33:04.680
<v Speaker 3>is one of those things that transcends every administration. They

0:33:04.720 --> 0:33:06.720
<v Speaker 3>try to hammer it out, but they're always like sort

0:33:06.760 --> 0:33:09.440
<v Speaker 3>of arguing over details. You're not fulfilling that as you're

0:33:09.440 --> 0:33:11.560
<v Speaker 3>supposed to let in this mini galllenge. You didn't what

0:33:11.640 --> 0:33:17.080
<v Speaker 3>are the core persistent issues that American dairy farmers feel

0:33:17.240 --> 0:33:21.520
<v Speaker 3>is unfair or unideal about I guess our dairy trading

0:33:21.600 --> 0:33:22.680
<v Speaker 3>relationship with Canada.

0:33:23.800 --> 0:33:26.120
<v Speaker 4>Joe. That's a great point, and I should have put

0:33:26.120 --> 0:33:29.080
<v Speaker 4>it in my list. Trade is top of mind. In

0:33:29.200 --> 0:33:33.719
<v Speaker 4>nineteen ninety five, the US was essentially a non player

0:33:33.840 --> 0:33:37.760
<v Speaker 4>in the global dairy exports, and that's the year that

0:33:37.880 --> 0:33:41.000
<v Speaker 4>NAFTA came about. Actually, NAFTA came about nineteen ninety four,

0:33:41.400 --> 0:33:44.440
<v Speaker 4>and then nineteen ninety five the US Dairy Export Council

0:33:44.640 --> 0:33:48.200
<v Speaker 4>was formed. And these days about seventeen percent of the

0:33:48.240 --> 0:33:52.080
<v Speaker 4>US milk supply, or one out of seven tankers of milk,

0:33:52.080 --> 0:33:55.719
<v Speaker 4>are actually exported as either dairy products or ingredients around

0:33:55.720 --> 0:33:59.760
<v Speaker 4>the world, so it's very important to dairy. We're actually

0:33:59.800 --> 0:34:03.840
<v Speaker 4>having a strong export year, but largely because US dairy

0:34:03.840 --> 0:34:08.879
<v Speaker 4>products and ingredients were lower than the other two major competitors.

0:34:08.880 --> 0:34:12.400
<v Speaker 4>So the EU the twenty seven countries of the European Union,

0:34:12.480 --> 0:34:16.480
<v Speaker 4>are the world's largest dairy exporters. They roughly export twenty

0:34:16.520 --> 0:34:19.360
<v Speaker 4>percent of their milk production. Then the small and mighty

0:34:19.480 --> 0:34:22.879
<v Speaker 4>nation of New Zealand is the number two export They

0:34:22.880 --> 0:34:26.719
<v Speaker 4>have five million cows and five million people, roughly in

0:34:26.719 --> 0:34:29.600
<v Speaker 4>the size of Minnesota and Wisconsin, so one third of

0:34:29.600 --> 0:34:33.080
<v Speaker 4>their gross domestic product comes from dairy. If you read

0:34:33.080 --> 0:34:36.560
<v Speaker 4>Auckland paper, you would hear dairy at least weekly. And

0:34:36.600 --> 0:34:41.359
<v Speaker 4>then comes to US. The US is number one export

0:34:41.520 --> 0:34:44.680
<v Speaker 4>customer is our friends south of the border in Mexico.

0:34:44.840 --> 0:34:48.040
<v Speaker 4>So the US is about a nine billion dollar export

0:34:48.120 --> 0:34:52.000
<v Speaker 4>market on dairy. Mexico is at about two billion of that.

0:34:52.520 --> 0:34:57.840
<v Speaker 4>Now Canada is a discussion to itself. Canada's milk supply

0:34:58.440 --> 0:35:02.000
<v Speaker 4>is largely governed by quota system, so dairy farmers up

0:35:02.040 --> 0:35:05.560
<v Speaker 4>there purchased the right to sell milk, and in fact,

0:35:06.160 --> 0:35:09.839
<v Speaker 4>on a Canadian dairy farm, the quota is worth more

0:35:09.880 --> 0:35:12.319
<v Speaker 4>than everything else. It's worth more than the cow's it's

0:35:12.360 --> 0:35:14.200
<v Speaker 4>worth more than the land, it's worth more in the

0:35:14.239 --> 0:35:16.960
<v Speaker 4>equipment to make that work. You can have a lot

0:35:17.000 --> 0:35:19.480
<v Speaker 4>of imports come in, so there are some things that

0:35:19.520 --> 0:35:22.239
<v Speaker 4>we send north to the border, butter being one of them.

0:35:22.600 --> 0:35:25.560
<v Speaker 4>But when you hear the headlines right now, of course

0:35:25.840 --> 0:35:27.920
<v Speaker 4>there are other things that were agreed upon in the

0:35:27.920 --> 0:35:31.920
<v Speaker 4>trade agreement the last time, the US Mexico Canada trade agreement.

0:35:32.239 --> 0:35:35.080
<v Speaker 4>In one of those largely centers on protein.

0:35:35.200 --> 0:35:40.680
<v Speaker 2>Surprisingly, that's interesting. So if you look into your crystal

0:35:40.680 --> 0:35:44.239
<v Speaker 2>ball for the future in the next ten years, look

0:35:44.280 --> 0:35:47.200
<v Speaker 2>at the dairy industry, what's going to be most important

0:35:47.239 --> 0:35:50.840
<v Speaker 2>in terms of the success of a dairy farm or profitability?

0:35:50.880 --> 0:35:55.640
<v Speaker 2>Is it technology? Is it scale and consolidation, is it

0:35:55.719 --> 0:36:00.640
<v Speaker 2>perhaps branding and specialization or efficiencies in a way you're

0:36:00.760 --> 0:36:05.799
<v Speaker 2>breaking down milk into all these various products, or all

0:36:05.840 --> 0:36:06.360
<v Speaker 2>of the above.

0:36:07.320 --> 0:36:09.399
<v Speaker 4>I think that's a two part question. Because you got

0:36:09.440 --> 0:36:11.759
<v Speaker 4>the dairy farmers or dairy producers, and then you have

0:36:11.840 --> 0:36:14.879
<v Speaker 4>the dairy processors. We're going to have to use more

0:36:14.880 --> 0:36:17.640
<v Speaker 4>and more technology on the dairy farms. I think, coming

0:36:17.680 --> 0:36:21.360
<v Speaker 4>back to the cow, when dairy farmers invest in genetics,

0:36:21.800 --> 0:36:25.000
<v Speaker 4>those genetics are additive and they're so important and if

0:36:25.000 --> 0:36:28.640
<v Speaker 4>this protein booms continues, genetics is one of the only

0:36:28.680 --> 0:36:30.360
<v Speaker 4>ways to improve it. We don't have a lot of

0:36:30.600 --> 0:36:34.520
<v Speaker 4>feeding practices in the toolbox in that regard, certainly AI

0:36:34.680 --> 0:36:37.600
<v Speaker 4>and technology and I'm going to say artificial intelligence here

0:36:37.640 --> 0:36:41.120
<v Speaker 4>for the farmers out there, listening will be very crucial

0:36:41.160 --> 0:36:44.120
<v Speaker 4>into this, and we're going to have to use more

0:36:44.160 --> 0:36:47.840
<v Speaker 4>technology and find ways to use robotic technology. We're already

0:36:47.920 --> 0:36:50.560
<v Speaker 4>doing some of that and rotary milking parlors. So a

0:36:50.680 --> 0:36:52.719
<v Speaker 4>rotary parlor would be like a merry go round that

0:36:52.760 --> 0:36:55.719
<v Speaker 4>the cows go on. But when we do milking preparation

0:36:55.880 --> 0:36:58.719
<v Speaker 4>right now, some robots are putting on teat dip or

0:36:58.760 --> 0:37:02.280
<v Speaker 4>a sanitizer before we milk that cow, which is important.

0:37:02.480 --> 0:37:05.600
<v Speaker 4>So those are some areas the space, and a lot

0:37:05.600 --> 0:37:09.280
<v Speaker 4>of dairy farmers are also crop farmers, especially growing corn

0:37:09.400 --> 0:37:14.080
<v Speaker 4>silage where alfalfa would be two big staples, and you know,

0:37:14.120 --> 0:37:17.480
<v Speaker 4>the whole space on farm equipment would be another area.

0:37:17.760 --> 0:37:20.480
<v Speaker 4>When it comes to the processing plants. You know, some

0:37:20.520 --> 0:37:23.080
<v Speaker 4>of these new and modern processing plants have a lot

0:37:23.120 --> 0:37:26.319
<v Speaker 4>of stainless steel and those costs are going up. But

0:37:26.400 --> 0:37:31.279
<v Speaker 4>it's that investment in technology, investment in it. You know,

0:37:31.600 --> 0:37:34.279
<v Speaker 4>all this ultra filtered milk that we've been talking about too.

0:37:34.760 --> 0:37:36.560
<v Speaker 4>You know, I was just in a plant. There's almost

0:37:36.760 --> 0:37:40.399
<v Speaker 4>nine thousand filters in there. It's very it's a very

0:37:40.600 --> 0:37:44.000
<v Speaker 4>clean and good process, but it takes a lot of investment.

0:37:44.640 --> 0:37:47.680
<v Speaker 3>It's materials heavy, materials heavy environment.

0:37:48.040 --> 0:37:48.879
<v Speaker 4>Yes, it is.

0:37:49.280 --> 0:37:51.880
<v Speaker 2>All right, Corey. Thank you so much for coming on

0:37:51.920 --> 0:37:53.479
<v Speaker 2>all thoughts that we're going to have to leave it there.

0:37:53.520 --> 0:37:56.120
<v Speaker 2>But that was so much fun. Love talking about milk clicking.

0:37:56.200 --> 0:37:58.520
<v Speaker 3>Yeah, that was fantastic. I learned a bunch of stuff.

0:37:58.560 --> 0:37:59.560
<v Speaker 4>Thank you, Joe and Tracy.

0:38:00.080 --> 0:38:02.600
<v Speaker 2>I will say after that conversation, I'm not I'm not

0:38:02.719 --> 0:38:05.840
<v Speaker 2>craving liquid milk, but I'm craving I'm craving cheese.

0:38:05.960 --> 0:38:09.080
<v Speaker 3>Yeah, I'm craving cheese right now. And butter like a

0:38:09.160 --> 0:38:11.319
<v Speaker 3>nice piece I want a piece of bread, would just

0:38:11.320 --> 0:38:14.160
<v Speaker 3>like go crazy with the butter, butter and salt. Yeah,

0:38:14.200 --> 0:38:14.960
<v Speaker 3>butter and salt.

0:38:15.080 --> 0:38:17.320
<v Speaker 2>I love that it's lunchtime.

0:38:17.560 --> 0:38:19.040
<v Speaker 3>Yeah, I know, we have a yeah, right.

0:38:31.360 --> 0:38:33.440
<v Speaker 2>I really did learn a lot conversation.

0:38:33.719 --> 0:38:36.880
<v Speaker 3>No, that was really helpful. This is one of those markets,

0:38:36.920 --> 0:38:40.960
<v Speaker 3>like many egg markets, I think, where there's clearly a

0:38:40.960 --> 0:38:46.360
<v Speaker 3>heavy market component and clearly a heavy regulatory component as well,

0:38:46.840 --> 0:38:48.560
<v Speaker 3>and so I think those are some of the hardest

0:38:48.600 --> 0:38:50.960
<v Speaker 3>for me to wrap my head around. I didn't realize,

0:38:50.960 --> 0:38:53.520
<v Speaker 3>for example, that in Canada that you buy the right

0:38:53.600 --> 0:38:56.120
<v Speaker 3>to sell dairy, and so that just that right to

0:38:56.160 --> 0:38:59.000
<v Speaker 3>sell into the market becomes a very valuable asset in

0:38:59.080 --> 0:39:01.360
<v Speaker 3>its own right. I thought that was a great conversation.

0:39:01.520 --> 0:39:04.920
<v Speaker 3>I'm also fascinated by the fact that maybe it's just

0:39:05.000 --> 0:39:07.040
<v Speaker 3>day one in terms of learning about all of the

0:39:07.160 --> 0:39:11.680
<v Speaker 3>useful molecules in that can be separated out and have

0:39:11.800 --> 0:39:14.160
<v Speaker 3>some He mentioned a few that I had never heard of.

0:39:14.520 --> 0:39:17.279
<v Speaker 3>But the idea that there's just more science there to

0:39:17.320 --> 0:39:19.480
<v Speaker 3>be done on learning what is milk or what is

0:39:19.520 --> 0:39:21.520
<v Speaker 3>in it that could be a value A lot of

0:39:21.520 --> 0:39:22.520
<v Speaker 3>interesting stuff there.

0:39:22.440 --> 0:39:25.439
<v Speaker 2>No the efficiencies and the values you can ring out

0:39:25.480 --> 0:39:28.920
<v Speaker 2>of a single product. The cow kind of amazing.

0:39:29.160 --> 0:39:29.560
<v Speaker 3>Yeah.

0:39:29.600 --> 0:39:32.640
<v Speaker 2>So yeah, again, I'm going to go back to that

0:39:32.719 --> 0:39:34.759
<v Speaker 2>book just because it's fresh in my mind. But one

0:39:34.800 --> 0:39:36.399
<v Speaker 2>of the things that was saying is if you feed

0:39:36.400 --> 0:39:39.920
<v Speaker 2>the cow is a bunch of corn, then they spit

0:39:39.960 --> 0:39:43.600
<v Speaker 2>out corn kernels in their manure. Oh and you can

0:39:43.640 --> 0:39:48.120
<v Speaker 2>apparently actually feed pigs on the half eaten corn kernels.

0:39:48.200 --> 0:39:50.000
<v Speaker 3>That's truly discussion in the manure.

0:39:49.719 --> 0:39:51.640
<v Speaker 2>I know. But it's efficient, Joe.

0:39:52.280 --> 0:39:55.800
<v Speaker 3>It's interesting. I think, what do you call it? Mixed something,

0:39:55.880 --> 0:39:57.480
<v Speaker 3>something that you could just like, oh, we're going to

0:39:57.560 --> 0:39:59.560
<v Speaker 3>have some old biscuits and we're going to put some

0:39:59.600 --> 0:40:02.840
<v Speaker 3>tomatoes together, and it doesn't matter. The cow's stomach is

0:40:02.880 --> 0:40:04.640
<v Speaker 3>going to be able to digest it like that is

0:40:04.680 --> 0:40:07.520
<v Speaker 3>a really incredible machine, and it is a good reminder

0:40:07.560 --> 0:40:11.400
<v Speaker 3>of how extraordinary nature and biology are from efficiency standpoint.

0:40:11.520 --> 0:40:15.080
<v Speaker 3>That if you wanted to build a machine that could

0:40:15.160 --> 0:40:19.240
<v Speaker 3>separate do the equivalent of four different stomachs, et cetera,

0:40:19.440 --> 0:40:23.440
<v Speaker 3>it would be such an extraordinarily costly machine. And nature

0:40:23.520 --> 0:40:26.440
<v Speaker 3>has solved this for us via hundreds of millions of

0:40:26.520 --> 0:40:30.360
<v Speaker 3>years of evolution. It's just a very fascinating thing to

0:40:30.600 --> 0:40:33.440
<v Speaker 3>think about some of these how efficient these processes have

0:40:33.520 --> 0:40:35.960
<v Speaker 3>gotten and then what scientists can do when they learn

0:40:36.000 --> 0:40:36.879
<v Speaker 3>more about how they work.

0:40:37.200 --> 0:40:40.040
<v Speaker 2>The cows are efficient themselves. I'm still amazed at some

0:40:40.080 --> 0:40:42.960
<v Speaker 2>of the labor inputs that go into this. So, you know,

0:40:43.680 --> 0:40:46.600
<v Speaker 2>cows producing milk have to produce calves, so you have

0:40:46.680 --> 0:40:50.520
<v Speaker 2>to inseminate them. You have to take the calves away

0:40:50.880 --> 0:40:54.240
<v Speaker 2>from the cows so that the cows will produce milk

0:40:54.320 --> 0:40:56.359
<v Speaker 2>that you can sell. And then you have to teach

0:40:56.400 --> 0:40:59.759
<v Speaker 2>the cows to like drink from either a bucket or

0:40:59.800 --> 0:41:03.480
<v Speaker 2>an artificial utter or whatever. There's a lot you have

0:41:03.520 --> 0:41:03.799
<v Speaker 2>to do.

0:41:03.920 --> 0:41:06.680
<v Speaker 3>I'm not sure. I may have mentioned it once or twice.

0:41:06.719 --> 0:41:09.440
<v Speaker 3>When I was growing up in the Midwest, my grandmother,

0:41:09.760 --> 0:41:13.040
<v Speaker 3>her husband was a dairy and fruit farmer in the

0:41:13.080 --> 0:41:16.279
<v Speaker 3>middle of Michigan, and he was very big in the

0:41:16.320 --> 0:41:19.520
<v Speaker 3>local sort of dairy board or whatever it was, et cetera.

0:41:19.880 --> 0:41:21.800
<v Speaker 3>And when I was younger, I thought that was so boring,

0:41:21.920 --> 0:41:23.960
<v Speaker 3>And now I'm like, it's so many I wish you

0:41:24.040 --> 0:41:26.000
<v Speaker 3>were still around. Yeah, I wish I have so many.

0:41:26.120 --> 0:41:28.200
<v Speaker 3>Quite like, if I hear around these days, it'd be

0:41:28.200 --> 0:41:30.040
<v Speaker 3>one of those things where I would like visit him

0:41:30.040 --> 0:41:31.920
<v Speaker 3>and I would like ask him two hours of questions

0:41:31.920 --> 0:41:34.200
<v Speaker 3>about the dairy. You have him on odd Lots like

0:41:34.239 --> 0:41:36.440
<v Speaker 3>one of those people who will answer any of my questions.

0:41:36.560 --> 0:41:38.399
<v Speaker 3>She would have. He was a very patient, good guy.

0:41:38.760 --> 0:41:41.160
<v Speaker 3>And I always feel like, man, I wish a little

0:41:41.160 --> 0:41:44.360
<v Speaker 3>bit older whatever, because that would have been a very

0:41:44.400 --> 0:41:45.000
<v Speaker 3>good resource.

0:41:45.120 --> 0:41:47.400
<v Speaker 2>Yeah. I feel the same way. My granddad was a

0:41:47.480 --> 0:41:51.399
<v Speaker 2>cattle rancher in Texas, and he died before I got

0:41:51.400 --> 0:41:53.279
<v Speaker 2>a chance to ask him all these questions. All I

0:41:53.320 --> 0:41:56.840
<v Speaker 2>remember from his cow industry is that he used to

0:41:56.960 --> 0:41:58.880
<v Speaker 2>name some of the cows after me and my cousin,

0:41:59.000 --> 0:42:02.479
<v Speaker 2>yeah them, and he'd tell us like, Tracy number three

0:42:02.719 --> 0:42:04.799
<v Speaker 2>is no longer with us, So there we go.

0:42:04.920 --> 0:42:05.759
<v Speaker 3>That's fun, all right.

0:42:05.800 --> 0:42:06.520
<v Speaker 2>Shall we leave it there?

0:42:06.560 --> 0:42:07.279
<v Speaker 3>Let's leave it there.

0:42:07.520 --> 0:42:09.840
<v Speaker 2>This has been another episode of the odd Bots podcast.

0:42:10.000 --> 0:42:12.640
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy.

0:42:12.360 --> 0:42:15.080
<v Speaker 3>Alloway and I'm Jill Wisenthal. You can follow me at

0:42:15.160 --> 0:42:18.960
<v Speaker 3>the Stalwart. Follow our producers Carbon Rodriguez at Carmen armand

0:42:19.040 --> 0:42:21.960
<v Speaker 3>dash O Bennett at Dashbot and kill Brooks at Kilbrooks.

0:42:22.200 --> 0:42:24.800
<v Speaker 3>From our Oddlows content, go to Bloomberg dot com slash

0:42:24.800 --> 0:42:27.040
<v Speaker 3>odd Lots, where the daily newsletter and all of our

0:42:27.080 --> 0:42:29.520
<v Speaker 3>episodes and you can chat about all of these topics

0:42:29.560 --> 0:42:33.520
<v Speaker 3>twenty four seven in our discord discord dot gg slash

0:42:33.520 --> 0:42:34.359
<v Speaker 3>odd lots.

0:42:34.320 --> 0:42:36.560
<v Speaker 2>And if you enjoy adlots, If you like it when

0:42:36.600 --> 0:42:39.560
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0:42:43.120 --> 0:42:45.879
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