1 00:00:03,120 --> 00:00:18,760 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:20,360 --> 00:00:23,599 Speaker 2: Hello and welcome to another episode of the All Thoughts Podcast. 3 00:00:23,680 --> 00:00:26,520 Speaker 2: I'm Tracy Alloway and I'm Joe. Wasn't thal Joe? You 4 00:00:26,520 --> 00:00:27,680 Speaker 2: know what I'm excited about. 5 00:00:29,200 --> 00:00:31,240 Speaker 3: This could go anywhere, so I'm not gonna guess, just 6 00:00:31,280 --> 00:00:31,560 Speaker 3: tell me. 7 00:00:32,000 --> 00:00:35,279 Speaker 2: So we're recording this on March nineteenth. It is the 8 00:00:35,320 --> 00:00:38,519 Speaker 2: first official day of spring. Oh, and that means that 9 00:00:38,720 --> 00:00:41,880 Speaker 2: soon it will be berry time, specifically strawberries. 10 00:00:42,680 --> 00:00:45,559 Speaker 3: I think many parents are talking about these days. But 11 00:00:45,800 --> 00:00:48,680 Speaker 3: the berry budget that parents. 12 00:00:48,720 --> 00:00:51,159 Speaker 2: When you said that, I was like smart, people are 13 00:00:51,200 --> 00:00:53,240 Speaker 2: talking about strawberry. 14 00:00:52,640 --> 00:00:55,920 Speaker 3: Oh, seriously, Like many this is like a persistent gripe 15 00:00:56,040 --> 00:00:58,840 Speaker 3: among parents, like how much we have to pay for 16 00:00:59,000 --> 00:01:05,520 Speaker 3: our kids freshberry habit. Strawberries, blueberries, blackberries, raspberries. They're really 17 00:01:05,520 --> 00:01:07,440 Speaker 3: expensive and kids just devour them. 18 00:01:07,680 --> 00:01:10,560 Speaker 2: And kids these days are spoiled. When I was growing up, 19 00:01:10,680 --> 00:01:12,679 Speaker 2: I had fruit roll ups, which I don't even think 20 00:01:12,720 --> 00:01:16,039 Speaker 2: you could classify as a fruit product. And all these 21 00:01:16,080 --> 00:01:18,800 Speaker 2: kids have organic, freshly grown blueberries. 22 00:01:19,600 --> 00:01:20,000 Speaker 4: Crazy. 23 00:01:20,120 --> 00:01:21,520 Speaker 3: So when I was a kid, like, yeah, we had 24 00:01:21,560 --> 00:01:24,760 Speaker 3: like apples and in this summer we had stone fruits, 25 00:01:24,760 --> 00:01:27,480 Speaker 3: you know, peaches and stuff and then like grapefruit, and 26 00:01:27,520 --> 00:01:28,000 Speaker 3: that was it. 27 00:01:28,520 --> 00:01:32,000 Speaker 2: So where do you buy your strawberries from or other berries? 28 00:01:32,360 --> 00:01:35,040 Speaker 3: Actually, before I answer that question, I want to say 29 00:01:35,040 --> 00:01:38,480 Speaker 3: one other thing about my childhood no that I may 30 00:01:38,520 --> 00:01:42,600 Speaker 3: be relevant to this conversation, which is that my grandmother 31 00:01:43,160 --> 00:01:48,080 Speaker 3: in Michigan, her husband, her second husband, she lived when 32 00:01:48,120 --> 00:01:50,840 Speaker 3: I was growing up on a farm in Elegant, Michigan. 33 00:01:50,920 --> 00:01:53,320 Speaker 3: It had dairy, it had cows and stuff, but I 34 00:01:53,400 --> 00:01:57,480 Speaker 3: also had like all these orchards and stuff. They're peaches 35 00:01:57,680 --> 00:02:01,080 Speaker 3: and cherries and apple and it was just like wonderful 36 00:02:01,080 --> 00:02:02,560 Speaker 3: and we had a great time as kids, and we'd 37 00:02:02,560 --> 00:02:04,160 Speaker 3: gone to the orchard, so I did actually have a 38 00:02:04,200 --> 00:02:06,160 Speaker 3: lot of fresh fruit. And I haven't been there in 39 00:02:06,200 --> 00:02:09,480 Speaker 3: many years. But my understanding, I believe that farm is 40 00:02:09,520 --> 00:02:13,440 Speaker 3: gone and now it's just entirely like soy or some brand, 41 00:02:13,520 --> 00:02:15,920 Speaker 3: like all of those orchards are gone and it's just 42 00:02:15,960 --> 00:02:18,840 Speaker 3: like one sort of like efficient unicrop farm these days. 43 00:02:19,040 --> 00:02:23,920 Speaker 2: It's a microcosm of America's agricultural evolution. All right, Wait, 44 00:02:23,960 --> 00:02:25,919 Speaker 2: but you didn't answer the question where do you get 45 00:02:25,960 --> 00:02:28,160 Speaker 2: your strawberries and blueberries and things from? 46 00:02:28,760 --> 00:02:32,799 Speaker 3: I don't know, probably Trader Joe's usually I think, I 47 00:02:32,840 --> 00:02:35,320 Speaker 3: don't know, Maybe I don't know, Yeah, probably usual, probably 48 00:02:35,360 --> 00:02:36,240 Speaker 3: usually Trader Joe's. 49 00:02:36,280 --> 00:02:37,400 Speaker 2: Can you remember the brand? 50 00:02:38,400 --> 00:02:41,079 Speaker 3: It's that one. I don't remember the name, but it's 51 00:02:41,120 --> 00:02:42,200 Speaker 3: that one very brand. 52 00:02:42,360 --> 00:02:45,600 Speaker 2: It's almost one hundred percent certain to be DRIs Calls. 53 00:02:45,720 --> 00:02:49,679 Speaker 3: Yeah, that's right, and I specifically associate them with strawberries. 54 00:02:49,720 --> 00:02:52,600 Speaker 2: But yes, so I think if you go into almost 55 00:02:52,639 --> 00:02:55,799 Speaker 2: any grocery store in America, you are likely to find 56 00:02:56,000 --> 00:02:59,480 Speaker 2: DRIs Skulls berries of one sort or another. And the 57 00:02:59,600 --> 00:03:02,919 Speaker 2: crazy thing about Driscolls is, for me, they're pretty much 58 00:03:02,960 --> 00:03:06,720 Speaker 2: synonymous with berries. I think berries, you think Driscolls. There's 59 00:03:06,720 --> 00:03:10,000 Speaker 2: a brand there. However, they don't actually grow any of 60 00:03:10,000 --> 00:03:10,760 Speaker 2: their own berries. 61 00:03:11,360 --> 00:03:13,640 Speaker 3: I did not know that. That's really interesting, and it 62 00:03:13,760 --> 00:03:17,000 Speaker 3: really is weird that there's like a brand that's the 63 00:03:17,040 --> 00:03:19,760 Speaker 3: berry brand. You say that, and it hadn't really clicked 64 00:03:19,760 --> 00:03:22,079 Speaker 3: to me that there is like the berry company in America. 65 00:03:22,120 --> 00:03:24,400 Speaker 3: But yeah, there's the berry company in America's Driscolls. 66 00:03:24,760 --> 00:03:28,200 Speaker 2: All right, So, as excited as I am about berries 67 00:03:28,560 --> 00:03:32,560 Speaker 2: this year, and in the interests of equalizing corporate America, 68 00:03:32,600 --> 00:03:35,640 Speaker 2: I am growing my own berries supply in Connecticut. So 69 00:03:35,760 --> 00:03:39,920 Speaker 2: I will achieve berries interests. That's right, But I think 70 00:03:39,920 --> 00:03:43,920 Speaker 2: it's sort of emblematic of a few themes that have 71 00:03:44,040 --> 00:03:46,440 Speaker 2: come up on the show in one way or another. 72 00:03:46,760 --> 00:03:51,720 Speaker 2: Number one is the decisions that have gone into creating 73 00:03:51,880 --> 00:03:55,760 Speaker 2: America's agricultural landscape as it exists today. So you just 74 00:03:55,880 --> 00:03:59,640 Speaker 2: mentioned the farm in Michigan, Your old family farm used 75 00:03:59,640 --> 00:04:02,120 Speaker 2: to have fruit orchard, used to grow a variety of 76 00:04:02,160 --> 00:04:06,480 Speaker 2: different things, and now grows a single unicrop, probably soy 77 00:04:06,720 --> 00:04:10,080 Speaker 2: or something like that. We've spoken about this at various 78 00:04:10,080 --> 00:04:13,360 Speaker 2: times on the podcast, so it keeps coming up. The 79 00:04:13,480 --> 00:04:18,320 Speaker 2: other big theme has to be antitrust and the concentration 80 00:04:18,640 --> 00:04:21,760 Speaker 2: of power in a few specific areas. So how did 81 00:04:21,800 --> 00:04:26,920 Speaker 2: it come to be that Driscolls dominates the berry market? 82 00:04:27,160 --> 00:04:28,480 Speaker 2: We have to ask these questions. 83 00:04:28,880 --> 00:04:30,880 Speaker 3: I can't wait to find out the answer because I 84 00:04:30,920 --> 00:04:33,680 Speaker 3: really like up. Like I said, up until you sort 85 00:04:33,680 --> 00:04:36,839 Speaker 3: of said that, it just had never occurred to me that, oh, yeah, 86 00:04:36,839 --> 00:04:39,719 Speaker 3: there's just this one company that I associate with berries. 87 00:04:40,000 --> 00:04:42,839 Speaker 2: You will never be able to escape Driscolls ever. Again. 88 00:04:43,000 --> 00:04:45,080 Speaker 2: It will be in your mind every time you see 89 00:04:45,080 --> 00:04:47,240 Speaker 2: a little plastic package of blueberries. 90 00:04:47,279 --> 00:04:49,039 Speaker 3: Every time we go to the grocery, store and my 91 00:04:49,120 --> 00:04:50,919 Speaker 3: kids want twenty dollars worth a freshberries. 92 00:04:51,000 --> 00:04:53,120 Speaker 2: Actually, I should just say we do, in fact have 93 00:04:53,160 --> 00:04:56,080 Speaker 2: the perfect guests to discuss all this today, and after 94 00:04:56,279 --> 00:05:00,560 Speaker 2: reading their book, I have come away with a completely 95 00:05:00,839 --> 00:05:05,360 Speaker 2: different idea of agriculture that I cannot unsee in many ways. 96 00:05:05,680 --> 00:05:07,800 Speaker 2: And it's kind of depressing because I do walk into 97 00:05:07,800 --> 00:05:10,520 Speaker 2: grocery stores now and I start muttering to myself about 98 00:05:10,560 --> 00:05:14,080 Speaker 2: the illusion of choice and dairy Chekhov's and things like that. 99 00:05:14,200 --> 00:05:16,200 Speaker 2: So I'm going to try to make everyone else more 100 00:05:16,279 --> 00:05:18,359 Speaker 2: like me. You can't escape it. We're going to be 101 00:05:18,360 --> 00:05:21,200 Speaker 2: speaking with Austin Frerick. He's the author of a new 102 00:05:21,200 --> 00:05:24,479 Speaker 2: book it's coming out this month, Barns Money, Power and 103 00:05:24,520 --> 00:05:27,680 Speaker 2: the Corruption of America's food industry. He's also an all 104 00:05:27,760 --> 00:05:31,960 Speaker 2: round agricultural and antitrust expert and a fellow of the 105 00:05:31,960 --> 00:05:35,800 Speaker 2: Thurman Arnold Project over at Yale University. So, Austin, thank 106 00:05:35,839 --> 00:05:37,640 Speaker 2: you so much for coming on all thoughts. 107 00:05:37,360 --> 00:05:38,919 Speaker 4: Thank you for having me on. This is such a 108 00:05:38,960 --> 00:05:41,200 Speaker 4: professional hunter. My husband and I are big fans. We've 109 00:05:41,200 --> 00:05:43,000 Speaker 4: been big fans since September episode. 110 00:05:43,160 --> 00:05:46,000 Speaker 2: Oh, thank you. I appreciate that. Let me just say, 111 00:05:46,080 --> 00:05:48,760 Speaker 2: to begin with now you've been so positive, I'm just 112 00:05:48,800 --> 00:05:52,799 Speaker 2: going to reiterate what a depressing read this was. Why 113 00:05:52,800 --> 00:05:55,040 Speaker 2: did you decide to write a book on this topic? 114 00:05:55,400 --> 00:05:57,719 Speaker 4: Honestly, this whole book started in a bar conversation in 115 00:05:57,720 --> 00:06:00,880 Speaker 4: De Moine, Iowa. It was twenty eighteen, and it was 116 00:06:00,920 --> 00:06:03,120 Speaker 4: a big governor's race in the state of Iowa. And 117 00:06:03,360 --> 00:06:06,440 Speaker 4: Iowa doesn't have campaign contributional limits for state level races, 118 00:06:06,839 --> 00:06:09,920 Speaker 4: and this political operative over a cheap draft Beers was 119 00:06:09,960 --> 00:06:13,039 Speaker 4: telling me how this hog farmer donate is the largest 120 00:06:13,080 --> 00:06:15,680 Speaker 4: donor in Iowa, donated three hundred thousand dollars to the 121 00:06:15,720 --> 00:06:18,600 Speaker 4: governor's reelection campaign. And he was also telling me how 122 00:06:18,600 --> 00:06:20,719 Speaker 4: they have a private jet. They fly back and forth 123 00:06:20,760 --> 00:06:24,640 Speaker 4: between the only gated community in suburban Des Moines to Naples, Florida, 124 00:06:24,839 --> 00:06:27,080 Speaker 4: and supposedly on this jet where their words and pigs fly, 125 00:06:28,240 --> 00:06:30,120 Speaker 4: which to me, in my head part of it was, oh, 126 00:06:30,120 --> 00:06:32,760 Speaker 4: this is good copy. But also this is such a 127 00:06:32,760 --> 00:06:35,000 Speaker 4: powerful symbol of what happened to Iowa. What is going 128 00:06:35,040 --> 00:06:37,240 Speaker 4: on when the most politically powerful person in the state 129 00:06:37,360 --> 00:06:39,800 Speaker 4: is hog Baron. So I originally wrote an article for 130 00:06:39,920 --> 00:06:43,080 Speaker 4: Vox with my buddy Charlie and then after we published 131 00:06:43,080 --> 00:06:45,719 Speaker 4: the articles telling this bigger story of how did power 132 00:06:45,720 --> 00:06:49,680 Speaker 4: consolidate in the hog industry in my lifetime, I realized, oh, 133 00:06:49,680 --> 00:06:51,640 Speaker 4: this story can be repeated through the food system. This 134 00:06:51,720 --> 00:06:55,480 Speaker 4: isn't unique to hogs. And then also this Robert Baron framework, 135 00:06:55,520 --> 00:06:57,720 Speaker 4: to me, is a fun narrative device to tell these bigger, 136 00:06:57,960 --> 00:06:59,160 Speaker 4: structural type stories. 137 00:07:00,080 --> 00:07:02,479 Speaker 3: So I mentioned in the intro that I had this 138 00:07:02,640 --> 00:07:07,160 Speaker 3: idyllic childhood of like running through the farm that my 139 00:07:07,160 --> 00:07:11,640 Speaker 3: grandmother was living on and picking cherries and eating them 140 00:07:11,720 --> 00:07:14,640 Speaker 3: right off the tree. And there were tart cherries and 141 00:07:14,760 --> 00:07:18,560 Speaker 3: red cherries and the golden ones that are multicolored that 142 00:07:18,640 --> 00:07:22,000 Speaker 3: were my favorite. And now that farm is gone and 143 00:07:22,040 --> 00:07:24,080 Speaker 3: it's just probably like one crop as far as the 144 00:07:24,080 --> 00:07:26,720 Speaker 3: eye could see. I take it that it was not 145 00:07:26,880 --> 00:07:29,320 Speaker 3: just my grandmother's farm. No, I mean, this is the 146 00:07:29,360 --> 00:07:31,760 Speaker 3: story of the American agricultural system. And what's to me 147 00:07:31,800 --> 00:07:33,480 Speaker 3: the whole time, what I was thinking in my head 148 00:07:33,480 --> 00:07:35,360 Speaker 3: when you're telling that story was I kept thinking of 149 00:07:35,400 --> 00:07:38,640 Speaker 3: a retirement portfolio. M your grandma had a diversified portfolio, 150 00:07:38,760 --> 00:07:41,360 Speaker 3: different crops going on at once. And what happens now 151 00:07:41,400 --> 00:07:43,600 Speaker 3: is the system's incredibly fragile because most farms are only 152 00:07:43,640 --> 00:07:46,080 Speaker 3: one or two crops. Can I just say something, Tracy 153 00:07:46,320 --> 00:07:51,720 Speaker 3: is a personal regret. So my grandmother's husband, Jack, farmer Jack, 154 00:07:52,040 --> 00:07:55,200 Speaker 3: if you were alive today, I would be so excited 155 00:07:55,320 --> 00:07:57,400 Speaker 3: to talk to him, and I just think about, you know, 156 00:07:57,440 --> 00:08:00,600 Speaker 3: ask him a million questions about like how does dairy work? 157 00:08:00,680 --> 00:08:03,240 Speaker 3: And how do you get an agreement to get your 158 00:08:03,560 --> 00:08:05,160 Speaker 3: He also made cider, how do you get your sight 159 00:08:05,240 --> 00:08:07,520 Speaker 3: or on the shelves. It makes me very sad that, 160 00:08:07,600 --> 00:08:10,800 Speaker 3: like when I was, you know, eleven, I didn't know 161 00:08:10,880 --> 00:08:12,520 Speaker 3: that I would be interested in all these topics. I 162 00:08:12,640 --> 00:08:13,600 Speaker 3: never really talked to him about. 163 00:08:13,760 --> 00:08:17,160 Speaker 2: This is a very good reminder listeners to ask your 164 00:08:17,200 --> 00:08:19,840 Speaker 2: relatives all the information that you want to hear about 165 00:08:19,920 --> 00:08:23,560 Speaker 2: before it's too late. My aunt was quite senior at Countrywide, 166 00:08:24,240 --> 00:08:27,280 Speaker 2: and she always promised to give me the inside scoop 167 00:08:27,360 --> 00:08:29,440 Speaker 2: on what was going on pre two thousand and eight, 168 00:08:29,520 --> 00:08:33,520 Speaker 2: and then she very sadly died early on of cancer. 169 00:08:33,640 --> 00:08:37,440 Speaker 2: So yes, okay, we all have those regrets. Back to agriculture, 170 00:08:37,640 --> 00:08:42,880 Speaker 2: that was a slight diversion. How concentrated is the US 171 00:08:42,960 --> 00:08:46,000 Speaker 2: agricultural or food product landscape? 172 00:08:46,080 --> 00:08:46,240 Speaker 1: Oh? 173 00:08:46,400 --> 00:08:48,719 Speaker 4: To me it's one of the most concentrated spaces. It's 174 00:08:48,720 --> 00:08:50,720 Speaker 4: a combination of a few things. I mean, you can't 175 00:08:50,720 --> 00:08:52,240 Speaker 4: look at a hog market the same way with like 176 00:08:52,240 --> 00:08:53,920 Speaker 4: a search engine, because you're not going to take a 177 00:08:53,920 --> 00:08:55,880 Speaker 4: hog from Iowa and go butcher in North Carolina because 178 00:08:55,880 --> 00:08:58,600 Speaker 4: of shipping cost. But you also have this whole dynamic 179 00:08:58,640 --> 00:09:01,120 Speaker 4: of delusion of choice, like you mentioned earlier. I mentioned 180 00:09:01,160 --> 00:09:02,839 Speaker 4: this briefly in my book, But there's like a peanut 181 00:09:02,880 --> 00:09:07,200 Speaker 4: butter monopoly. Essentially one company has like roughly a fifty 182 00:09:07,360 --> 00:09:10,120 Speaker 4: to sixty percent market share. But first of all, most 183 00:09:10,120 --> 00:09:12,720 Speaker 4: consumers don't see that because they own different price points, 184 00:09:12,760 --> 00:09:14,880 Speaker 4: because that rich consumer wants to think they're getting different 185 00:09:14,880 --> 00:09:17,440 Speaker 4: peanut butter than the low income consumer. But on top 186 00:09:17,440 --> 00:09:19,440 Speaker 4: of it, they tended to most store brands and you 187 00:09:19,520 --> 00:09:21,280 Speaker 4: only find that out usually through recalls. 188 00:09:22,600 --> 00:09:27,760 Speaker 3: So yes, okay, there's a highly concentrated food supply in America, 189 00:09:27,800 --> 00:09:30,920 Speaker 3: and many aspects of the food industry in America are 190 00:09:31,160 --> 00:09:34,840 Speaker 3: highly concentrated with a few dominant companies. And we'll get 191 00:09:34,840 --> 00:09:37,280 Speaker 3: into like what some of these companies are and the 192 00:09:37,320 --> 00:09:40,600 Speaker 3: distribution and the growing or the slaughtering, whether we're talking 193 00:09:40,600 --> 00:09:44,319 Speaker 3: about meat on the other hand, outside of the inflation 194 00:09:44,480 --> 00:09:46,800 Speaker 3: that's hit a lot of categories in the world over 195 00:09:46,840 --> 00:09:49,600 Speaker 3: the last few years, we also live in a world 196 00:09:49,679 --> 00:09:52,800 Speaker 3: of caloric abundance, and that seems pretty good and in 197 00:09:52,840 --> 00:09:55,680 Speaker 3: the grand scheme of history, like meat is very cheap, 198 00:09:55,679 --> 00:09:58,079 Speaker 3: and many people can afford burgers, and many people can 199 00:09:58,120 --> 00:10:02,959 Speaker 3: afford steak, and many people can afford fresh berries, which 200 00:10:03,160 --> 00:10:05,840 Speaker 3: really we never had as a kid at all, or 201 00:10:05,920 --> 00:10:08,360 Speaker 3: very rarely, like I don't remember my parents even, you know, 202 00:10:08,520 --> 00:10:11,200 Speaker 3: buying berries. So could you make an argument It certainly 203 00:10:11,200 --> 00:10:13,640 Speaker 3: seems to me like maybe there are some cost and 204 00:10:13,640 --> 00:10:15,840 Speaker 3: concentration of power issues, but we're in an era of 205 00:10:15,840 --> 00:10:16,679 Speaker 3: food abundance. 206 00:10:17,320 --> 00:10:20,240 Speaker 4: So just a few things on that. The first is, actually, 207 00:10:20,280 --> 00:10:24,480 Speaker 4: per capita, Americans spend more food than Italians, so we 208 00:10:24,520 --> 00:10:26,719 Speaker 4: actually we pain more and more for our food. This 209 00:10:26,760 --> 00:10:29,640 Speaker 4: is even before the inflation stuffy according to USDA data. 210 00:10:30,240 --> 00:10:32,319 Speaker 4: But that's also come at the expensive workers. I mean, 211 00:10:32,360 --> 00:10:35,360 Speaker 4: that is like the hidden undercurrent. Sure of you can 212 00:10:35,360 --> 00:10:37,320 Speaker 4: get cheap berries year around, because you have twelve year 213 00:10:37,320 --> 00:10:39,920 Speaker 4: olds picking berries for other twelve year olds in developing countries. 214 00:10:39,960 --> 00:10:43,640 Speaker 4: I mean, there's been reporting how basically any produce that's 215 00:10:43,720 --> 00:10:46,280 Speaker 4: labor intensive with these trade agreements in America has moved 216 00:10:46,320 --> 00:10:49,080 Speaker 4: offshore and kind of like a T shirt, it's so 217 00:10:49,160 --> 00:10:51,600 Speaker 4: hard for journalists, especially the state of American media, to 218 00:10:51,679 --> 00:10:54,760 Speaker 4: go investigate that the plant these farms are basically modern 219 00:10:54,840 --> 00:10:58,079 Speaker 4: day plantations. And I would also last point on that 220 00:10:58,200 --> 00:11:01,880 Speaker 4: is the obesity crisis in America. That undercurrent is We've 221 00:11:01,880 --> 00:11:04,280 Speaker 4: never in the history of mankind had the lower classes 222 00:11:04,320 --> 00:11:07,280 Speaker 4: be the overweight classes. And that to me is because 223 00:11:07,320 --> 00:11:09,280 Speaker 4: the way the food system is designed, and I really 224 00:11:09,280 --> 00:11:11,200 Speaker 4: get at this, my grain baron is you have to 225 00:11:11,200 --> 00:11:14,080 Speaker 4: have money to beat healthy in America now because the 226 00:11:14,080 --> 00:11:16,839 Speaker 4: food system picks favorites right now will be heavily subsidized 227 00:11:17,080 --> 00:11:17,840 Speaker 4: processed foods. 228 00:11:18,320 --> 00:11:20,679 Speaker 2: Yeah, I can't remember. You actually had a stat in 229 00:11:20,720 --> 00:11:23,360 Speaker 2: your book specifically about this, and it was the price 230 00:11:23,640 --> 00:11:26,920 Speaker 2: of fresh fruits and vegetables has gone up a certain 231 00:11:26,960 --> 00:11:30,560 Speaker 2: amount since I think it was from nineteen eighty, whereas 232 00:11:30,840 --> 00:11:34,720 Speaker 2: the price of processed foods has gone down quite a lot. 233 00:11:34,840 --> 00:11:37,240 Speaker 4: So each baron's really built around an idea. And to me, 234 00:11:37,360 --> 00:11:39,920 Speaker 4: my grain baron, which is Cargill, is about the farm bill. 235 00:11:40,360 --> 00:11:42,600 Speaker 4: And to me, what I realize is, oh, this whole 236 00:11:42,600 --> 00:11:45,600 Speaker 4: structure is designed to overproduce grains at the expense of 237 00:11:45,600 --> 00:11:48,880 Speaker 4: everything else, and so in the constants it's crowding out everything. 238 00:11:48,960 --> 00:11:51,640 Speaker 4: So like your family farm is, it's cheaper for people 239 00:11:51,640 --> 00:11:54,200 Speaker 4: to plow up the orchards and put in corn than 240 00:11:54,240 --> 00:11:55,360 Speaker 4: it does actually grow produce. 241 00:11:55,640 --> 00:11:57,640 Speaker 3: What do you walk us through this specific You hear 242 00:11:57,679 --> 00:12:00,840 Speaker 3: people vilify the farm bill a lot. What do you 243 00:12:00,880 --> 00:12:03,360 Speaker 3: walker through some of the specifics of like what are 244 00:12:03,480 --> 00:12:06,480 Speaker 3: the sort of policy underpinnings of the farm bill and 245 00:12:06,520 --> 00:12:06,920 Speaker 3: what it does? 246 00:12:07,000 --> 00:12:09,480 Speaker 4: Oh man, Joe, this honestly, this reminds me of the 247 00:12:09,520 --> 00:12:12,640 Speaker 4: tax code. The farm bill has all these interlocking parts. Okay, 248 00:12:12,679 --> 00:12:14,520 Speaker 4: that took me a while. They really get my head around. 249 00:12:14,880 --> 00:12:16,640 Speaker 4: So to start off with, the farm bill comes from 250 00:12:16,679 --> 00:12:18,720 Speaker 4: the New Deal, and that's from the dust bowl. These 251 00:12:18,760 --> 00:12:23,160 Speaker 4: markets are over supplied and you had massive environmental damage 252 00:12:23,160 --> 00:12:26,520 Speaker 4: because of people are pushing their land, engaging really destructive practices. 253 00:12:26,880 --> 00:12:30,080 Speaker 4: So this New Deal farmwork was really centered in supply management, 254 00:12:30,160 --> 00:12:33,240 Speaker 4: is what they call it. Sure, you can get subsidies, 255 00:12:33,320 --> 00:12:35,880 Speaker 4: but you have to take land out of production. Most 256 00:12:35,920 --> 00:12:38,880 Speaker 4: famously created all these reserves, grain reserves, cheese reserves, what 257 00:12:38,920 --> 00:12:40,599 Speaker 4: have you. The government is trying to figure out the 258 00:12:40,600 --> 00:12:44,280 Speaker 4: sweet spot for agriculture for production. What you slowly see happen, 259 00:12:44,440 --> 00:12:47,320 Speaker 4: especially in the nineteen a's on is that framework kind 260 00:12:47,360 --> 00:12:51,760 Speaker 4: of collapses to you're heavily subsidizing overproducing things. And it's 261 00:12:51,840 --> 00:12:53,480 Speaker 4: kind of done three different ways. Think of it like 262 00:12:53,480 --> 00:12:56,720 Speaker 4: a three legged stool. It's crop insurance, which like sixty 263 00:12:56,760 --> 00:12:59,000 Speaker 4: percent of the premiums on crop insurance is subsidized by 264 00:12:59,000 --> 00:13:02,240 Speaker 4: the government. You have the commodity programs, which it used 265 00:13:02,240 --> 00:13:04,040 Speaker 4: to be to get a check like a subsidy check. 266 00:13:04,240 --> 00:13:06,079 Speaker 4: Now it's kind of done through like a loan forgiveness. 267 00:13:06,400 --> 00:13:09,120 Speaker 4: And then you also have the conservation programs. To me, 268 00:13:09,240 --> 00:13:10,880 Speaker 4: like the grains are the big ones here, and then 269 00:13:10,880 --> 00:13:12,880 Speaker 4: also like the caps have been raised, and also like 270 00:13:12,920 --> 00:13:14,800 Speaker 4: even in crop insurance there's no cap and how much 271 00:13:14,800 --> 00:13:17,240 Speaker 4: crop insurance you can get. So it's really pushing you 272 00:13:17,320 --> 00:13:18,959 Speaker 4: to do this kind of model up production. 273 00:13:19,559 --> 00:13:22,680 Speaker 2: So talk about how that model of production, in those 274 00:13:22,720 --> 00:13:25,800 Speaker 2: decisions that were made through things like the Farm Bill, 275 00:13:26,240 --> 00:13:30,640 Speaker 2: how that led to dominance in particular in the grain industry. 276 00:13:30,679 --> 00:13:32,880 Speaker 2: And I think your example in the book was Cargil. 277 00:13:33,000 --> 00:13:36,760 Speaker 4: Yeah, Cargil to me is a fascinating company. I did 278 00:13:36,800 --> 00:13:39,240 Speaker 4: not originally include this when I started mapping out this book. 279 00:13:39,720 --> 00:13:41,880 Speaker 4: It's the largest private company in America. They're bigger than 280 00:13:41,920 --> 00:13:42,560 Speaker 4: the Koch brothers. 281 00:13:42,640 --> 00:13:43,240 Speaker 2: It's amazing. 282 00:13:43,520 --> 00:13:45,280 Speaker 4: Yeah, they do, like a think in my I think 283 00:13:45,280 --> 00:13:48,160 Speaker 4: I one fourth of the world's grade trade. They're the 284 00:13:48,160 --> 00:13:50,200 Speaker 4: middleman though, like I compare them my book to the 285 00:13:50,240 --> 00:13:52,960 Speaker 4: closest thing we have in modern to modern day standard oil. 286 00:13:53,600 --> 00:13:55,520 Speaker 4: But even at the end of that chapter, to me, 287 00:13:55,520 --> 00:13:57,800 Speaker 4: they're more like the nineteenth century British Empire because the 288 00:13:57,840 --> 00:14:01,280 Speaker 4: sun never sets on the grain Empire. So the original 289 00:14:01,320 --> 00:14:03,400 Speaker 4: farm Bill actually to pay for it was a tax 290 00:14:03,440 --> 00:14:06,280 Speaker 4: on processors companies like Cargill. So the family hated the 291 00:14:06,280 --> 00:14:08,600 Speaker 4: original farm Bill. They fought it. They didn't like FDR 292 00:14:09,200 --> 00:14:11,319 Speaker 4: because what the farm bill is doing the original one 293 00:14:11,360 --> 00:14:14,600 Speaker 4: is limiting production. To me, it's politically brilliant to study 294 00:14:15,120 --> 00:14:17,800 Speaker 4: because they use middleman. They don't usually engage in their 295 00:14:17,840 --> 00:14:20,480 Speaker 4: political lobbying straight up. They give money to other groups 296 00:14:20,480 --> 00:14:23,280 Speaker 4: to do their bidding. But you kind of uncovering the 297 00:14:23,320 --> 00:14:26,520 Speaker 4: research is, Oh, they want to remove this because they 298 00:14:26,560 --> 00:14:28,120 Speaker 4: just want to keep They just want tons of grain. 299 00:14:28,600 --> 00:14:31,480 Speaker 4: And so what Cargill does has been doing slowly is 300 00:14:32,000 --> 00:14:35,200 Speaker 4: buying up different parts of the supply chain, so you 301 00:14:35,200 --> 00:14:37,040 Speaker 4: know they'll do like animal feed was a big part 302 00:14:37,080 --> 00:14:39,440 Speaker 4: of Cargil, and then they got into meatpacking and then 303 00:14:39,520 --> 00:14:41,720 Speaker 4: now that's just kind of their logic. 304 00:14:42,720 --> 00:14:46,560 Speaker 2: So how does that actually feed into the antitrust discussion 305 00:14:46,800 --> 00:14:51,120 Speaker 2: Because on the one hand, if a huge company like 306 00:14:51,360 --> 00:14:55,640 Speaker 2: Cargill is buying up other businesses, you would expect regulators 307 00:14:55,680 --> 00:14:57,560 Speaker 2: to be looking at that. But on the other hand, 308 00:14:57,560 --> 00:15:01,040 Speaker 2: if Cargil is saying, well, we're not necessarily getting more 309 00:15:01,160 --> 00:15:05,160 Speaker 2: grain producers, we're getting something that's adjacent to producing grain. 310 00:15:05,200 --> 00:15:08,440 Speaker 2: We're doing grain transportation or storage or something like that, 311 00:15:08,720 --> 00:15:11,960 Speaker 2: and there are synergies involved, and the American consumer is 312 00:15:12,000 --> 00:15:15,640 Speaker 2: going to benefit through lower prices. How do those conversations 313 00:15:15,720 --> 00:15:16,840 Speaker 2: or debates play out. 314 00:15:17,080 --> 00:15:19,840 Speaker 4: Yeah, So, I mean I start with two fundamental notions 315 00:15:19,920 --> 00:15:23,320 Speaker 4: of no company buys another company for pro competitive reasons. 316 00:15:23,480 --> 00:15:25,640 Speaker 4: The goal of a corporate executive, and it's such a 317 00:15:25,640 --> 00:15:28,200 Speaker 4: simple thing that I realized a few years ago, is monopoly. 318 00:15:28,960 --> 00:15:32,160 Speaker 4: So you have that fundamental tension in markets where markets 319 00:15:32,240 --> 00:15:35,160 Speaker 4: competitive markets are roofless, it's hard. Your goal is monopoly. 320 00:15:35,200 --> 00:15:37,920 Speaker 4: So you're trying to get to a monopoly status. And 321 00:15:38,000 --> 00:15:40,120 Speaker 4: so what you see with Cargill is they made a 322 00:15:40,160 --> 00:15:42,880 Speaker 4: lot of these purchases thirty forty years ago before the 323 00:15:42,960 --> 00:15:45,120 Speaker 4: Robert Bork anti trust framework took hold, that WO had 324 00:15:45,160 --> 00:15:47,440 Speaker 4: not probably been approved. I can't remember off tom I head, 325 00:15:47,440 --> 00:15:49,320 Speaker 4: but there's quite a few. I mentioned the book of 326 00:15:49,760 --> 00:15:51,080 Speaker 4: large Acquisitions they made. 327 00:15:51,440 --> 00:15:54,120 Speaker 2: You mentioned the magic word just then, which is Robert 328 00:15:54,200 --> 00:15:58,720 Speaker 2: Bork and full disclosure. I had not realized what a 329 00:15:58,960 --> 00:16:02,480 Speaker 2: influential figure Bork was in the world of anti trust. 330 00:16:02,600 --> 00:16:06,440 Speaker 2: And I find it so interesting reading that chapter to 331 00:16:06,600 --> 00:16:11,200 Speaker 2: compare and contrast the sort of Bork interpretation of anti 332 00:16:11,240 --> 00:16:15,880 Speaker 2: trust versus what we think about today. And I'm trying 333 00:16:15,880 --> 00:16:19,200 Speaker 2: to do this without mentioning hipster antitrust, but there is 334 00:16:19,320 --> 00:16:21,880 Speaker 2: more of a I guess, a throwback today to the 335 00:16:21,920 --> 00:16:26,480 Speaker 2: idea of, well, is this particular corporate action good for 336 00:16:26,800 --> 00:16:30,960 Speaker 2: Americans in the sense of labor, not just prices? Whereas 337 00:16:31,000 --> 00:16:36,480 Speaker 2: Bork basically argued that regulators and the courts should ignore 338 00:16:36,640 --> 00:16:41,480 Speaker 2: harm to workers and focus purely on consumer prices. So 339 00:16:41,560 --> 00:16:47,440 Speaker 2: the consumer welfare standard, which seems kind of nuts in retrospect. 340 00:16:47,360 --> 00:16:50,080 Speaker 4: Yeah, I mean, what's so funny about that? Is number 341 00:16:50,080 --> 00:16:53,280 Speaker 4: one kind of the undercurrent of this era are so 342 00:16:53,400 --> 00:16:55,400 Speaker 4: much of the language it's designed to keep people out. 343 00:16:55,480 --> 00:16:58,400 Speaker 4: These words don't really mean anything. So consumer Welfare Standard 344 00:16:58,840 --> 00:17:01,560 Speaker 4: has like thirty different ductions by different people. Those words 345 00:17:01,600 --> 00:17:05,320 Speaker 4: are really hollow, but they sound smart. Two, it tries 346 00:17:05,320 --> 00:17:07,600 Speaker 4: to reduce this stuff to simple math equations when really 347 00:17:07,640 --> 00:17:09,640 Speaker 4: like this is about power and who has it. These 348 00:17:09,640 --> 00:17:12,199 Speaker 4: are moral questions that we're trying to mask with pseudo science. 349 00:17:12,760 --> 00:17:15,439 Speaker 4: And for me personally, it was a coffee I had 350 00:17:15,440 --> 00:17:17,880 Speaker 4: with Commissioner con back in twenty fifteen that really got 351 00:17:17,920 --> 00:17:20,159 Speaker 4: me going on this. I was at the time a 352 00:17:20,200 --> 00:17:22,600 Speaker 4: Treasury tax economist and I had written a paper on 353 00:17:22,640 --> 00:17:25,280 Speaker 4: the growth of super rents, which is just like econ 354 00:17:25,359 --> 00:17:28,680 Speaker 4: speak for monopoly level of profits into tax code. And 355 00:17:28,720 --> 00:17:30,199 Speaker 4: I was like, huh, what's going on here? Why am 356 00:17:30,200 --> 00:17:32,440 Speaker 4: I seeing a lot in agriculture, you know, anyone should 357 00:17:32,440 --> 00:17:35,440 Speaker 4: able to make pop our chips. And read an article 358 00:17:35,480 --> 00:17:37,800 Speaker 4: she wrote in like twenty twelve on like chicken monopolies. 359 00:17:38,000 --> 00:17:42,359 Speaker 4: She was a journalist before she became a lawyer, and 360 00:17:42,520 --> 00:17:44,200 Speaker 4: I was like, oh, this really explains what I see 361 00:17:44,240 --> 00:17:46,399 Speaker 4: going on. Back in Iowa met with her and she 362 00:17:46,920 --> 00:17:48,480 Speaker 4: kind of is the one who showed me, oh, there's 363 00:17:48,520 --> 00:17:51,800 Speaker 4: this whole There's been this fierce intellectual debate in America 364 00:17:51,840 --> 00:17:54,639 Speaker 4: over how we conceptualize power and kind of tell me 365 00:17:54,680 --> 00:17:57,840 Speaker 4: that Bork history, And to me is, I mean, there's 366 00:17:57,880 --> 00:17:59,359 Speaker 4: a lot of talk on big tech, but to me, 367 00:17:59,760 --> 00:18:04,480 Speaker 4: the my book is really to like overlay that framework 368 00:18:04,520 --> 00:18:06,359 Speaker 4: to agriculture in the food system. 369 00:18:07,200 --> 00:18:12,199 Speaker 3: So I take your point about, Okay, a handful of 370 00:18:12,400 --> 00:18:15,920 Speaker 3: extremely powerful companies have like come to have this dominant 371 00:18:15,920 --> 00:18:19,680 Speaker 3: position within the agricultural system. On the other hand, it 372 00:18:19,800 --> 00:18:24,240 Speaker 3: seems like this is a partly and you're applied, not 373 00:18:24,440 --> 00:18:27,280 Speaker 3: unique to agriculture, which is just that we have seen 374 00:18:27,320 --> 00:18:29,960 Speaker 3: the rise across many industries of like you know, megga 375 00:18:30,520 --> 00:18:33,360 Speaker 3: behemoth global we used to call them like in the nineties, 376 00:18:33,359 --> 00:18:38,240 Speaker 3: like multinational corporations. They're also like economies of scale are 377 00:18:38,440 --> 00:18:41,600 Speaker 3: a real thing. I believe, you know, like how much 378 00:18:41,640 --> 00:18:44,400 Speaker 3: of this is like a policy decision versus a sort 379 00:18:44,400 --> 00:18:48,320 Speaker 3: of more like natural evolution of how many businesses have 380 00:18:48,560 --> 00:18:52,439 Speaker 3: evolved of like companies figuring out scale and efficiencies. And 381 00:18:52,480 --> 00:18:56,359 Speaker 3: I have to imagine that setting aside policy that whether 382 00:18:56,400 --> 00:19:00,360 Speaker 3: we're talking about slaughtering hogs or whether we're talking about 383 00:19:00,600 --> 00:19:04,080 Speaker 3: growing corn that you could save money and selled it 384 00:19:04,080 --> 00:19:06,199 Speaker 3: at a cheaper price if you're a big company that 385 00:19:06,240 --> 00:19:07,800 Speaker 3: has access to a lot of capacity. 386 00:19:08,080 --> 00:19:10,040 Speaker 4: To me, it's a combination of both. I mean, the 387 00:19:10,119 --> 00:19:11,800 Speaker 4: undercurrent of this book too is a lot of these 388 00:19:11,840 --> 00:19:15,200 Speaker 4: companies got big not through organic growth, but through acquisitions 389 00:19:15,600 --> 00:19:17,720 Speaker 4: that probably would not have been approved before. To me, 390 00:19:17,760 --> 00:19:20,560 Speaker 4: the undercurrent two of this book is the whole negative 391 00:19:20,560 --> 00:19:23,760 Speaker 4: externalities of this market power is just I mean, I 392 00:19:23,760 --> 00:19:26,480 Speaker 4: think to me, as an Iowan, how I fell a 393 00:19:26,520 --> 00:19:28,840 Speaker 4: part in my lifetime. It's the best farmland in the world. 394 00:19:28,920 --> 00:19:31,399 Speaker 4: It should be the Italy of North America. Yet Iowa 395 00:19:31,400 --> 00:19:34,400 Speaker 4: was now is basically an extraction colony. Like sixty seventy 396 00:19:34,440 --> 00:19:36,000 Speaker 4: percent of the waterways highway you can't go into. 397 00:19:36,440 --> 00:19:40,880 Speaker 2: This is because the hog runoff. To put it politely, Yeah, 398 00:19:41,040 --> 00:19:43,639 Speaker 2: so Iowa has about twenty five million hawks. 399 00:19:44,680 --> 00:19:47,200 Speaker 4: Hog defecates like three times more than a human being. 400 00:19:47,680 --> 00:19:50,119 Speaker 4: So we're talking about the manure of the population of 401 00:19:50,160 --> 00:19:53,679 Speaker 4: seventy five million people. Like Texas and California combined, that 402 00:19:53,720 --> 00:19:56,000 Speaker 4: regulatory system because of my hog Baron's capture of the 403 00:19:56,040 --> 00:19:58,600 Speaker 4: state government has been gutted. Keep in mind eye. I 404 00:19:58,680 --> 00:20:02,159 Speaker 4: was also number one in chicken eggs. A lot of cattle. 405 00:20:02,200 --> 00:20:03,879 Speaker 4: Like all this other maneuvers, they have too much maneuver 406 00:20:03,920 --> 00:20:06,359 Speaker 4: for the environment. On top of it, you have this 407 00:20:06,920 --> 00:20:08,600 Speaker 4: animals used to get their feet on land. You know, 408 00:20:08,600 --> 00:20:12,640 Speaker 4: cows walk around, eat grass. They would fertilize their own feed. Now, 409 00:20:12,680 --> 00:20:15,680 Speaker 4: because we basically stuffed most animals into these metal sheds, 410 00:20:16,040 --> 00:20:17,440 Speaker 4: we have to use a lot of fossil fuelds to 411 00:20:17,480 --> 00:20:20,520 Speaker 4: grow their feed. So you also have all that chemicals 412 00:20:20,640 --> 00:20:23,960 Speaker 4: entering the water supply system too. And to add another 413 00:20:24,040 --> 00:20:26,360 Speaker 4: layer to it is most farmland in Iowa's not owned 414 00:20:26,359 --> 00:20:29,240 Speaker 4: by iwands anymore. Grammar Grapa dye kids moved to California. 415 00:20:29,280 --> 00:20:31,119 Speaker 4: They put it into a trust. They rent out the 416 00:20:31,160 --> 00:20:33,000 Speaker 4: land and you can always clock it when you're driving 417 00:20:33,119 --> 00:20:35,199 Speaker 4: because they farm right up to the creek. So all 418 00:20:35,240 --> 00:20:38,359 Speaker 4: those chemicals go right into the creek, including the manure. 419 00:20:38,400 --> 00:20:40,360 Speaker 4: So what they do with these lagoons is they drain them. 420 00:20:40,400 --> 00:20:43,640 Speaker 4: That they put these massive manure lagoons next to the buildings. 421 00:20:44,040 --> 00:20:45,880 Speaker 4: Every few months, they drained the manure and they put 422 00:20:45,880 --> 00:20:47,920 Speaker 4: it into the soil and they'll do in the winter, 423 00:20:47,960 --> 00:20:49,760 Speaker 4: which is just awful. It's kind of illegal, but no 424 00:20:49,760 --> 00:20:51,960 Speaker 4: one enforces that roll in Iowa. So you'll just see 425 00:20:51,960 --> 00:20:55,200 Speaker 4: snow fields covered in snow with manure on it, and 426 00:20:55,280 --> 00:20:57,000 Speaker 4: then just as you know, as the snow melts, it 427 00:20:57,119 --> 00:20:58,600 Speaker 4: just go straight into the water system. 428 00:20:58,960 --> 00:21:04,120 Speaker 3: What were this civic Iowa regulatory changes? If the story 429 00:21:04,200 --> 00:21:08,000 Speaker 3: is okay, domess local political power, what were the actual 430 00:21:08,040 --> 00:21:10,240 Speaker 3: regulatory changes that enabled this? 431 00:21:10,640 --> 00:21:13,240 Speaker 4: The big one was the stripping of local control. This 432 00:21:13,359 --> 00:21:16,000 Speaker 4: was back in nineteen ninety six. Secretary of Vilsack Biden, 433 00:21:16,040 --> 00:21:18,960 Speaker 4: Secretary of Agriculture, actually voted in favor of this when 434 00:21:18,960 --> 00:21:21,840 Speaker 4: he was a state senator. This whole thing too. I mean, 435 00:21:21,920 --> 00:21:24,119 Speaker 4: you got an open revolt in Iowa. I mean, this 436 00:21:24,240 --> 00:21:27,520 Speaker 4: wasn't just efficiency took hold. It was people are fighting 437 00:21:27,560 --> 00:21:28,120 Speaker 4: tooth and nail. 438 00:21:28,200 --> 00:21:30,600 Speaker 2: I mean, and no one wants to live next to 439 00:21:30,640 --> 00:21:31,560 Speaker 2: a manure lagoon. 440 00:21:31,720 --> 00:21:34,000 Speaker 4: That is like, it smells awful. I mean I can 441 00:21:34,000 --> 00:21:35,720 Speaker 4: barely smell. When you get near one of these things, 442 00:21:35,760 --> 00:21:38,639 Speaker 4: it's awful, and your home value collapses. Ten percent of 443 00:21:38,640 --> 00:21:40,919 Speaker 4: these pigs and these facilities die, so next to everyone 444 00:21:41,040 --> 00:21:43,359 Speaker 4: is a big dumpster fall bloated dead pig bodies. So 445 00:21:43,400 --> 00:21:45,879 Speaker 4: you vultures but on top of it, just from a 446 00:21:45,920 --> 00:21:49,280 Speaker 4: regulatory standpoint, if you treat pig manure like human manure, 447 00:21:49,720 --> 00:21:52,359 Speaker 4: this model collapses. It's not efficient. It's efficient if you 448 00:21:52,400 --> 00:21:55,679 Speaker 4: ignore all the negative externalities on top of it's just cruel. 449 00:21:55,720 --> 00:21:57,760 Speaker 4: I mean, I'm not That's the other thing too, is 450 00:21:57,840 --> 00:22:00,480 Speaker 4: like pigs are very social creatures, are smart, and you're 451 00:22:00,520 --> 00:22:04,000 Speaker 4: putting two thousand of them into these metal sheds. And 452 00:22:04,080 --> 00:22:05,720 Speaker 4: even the I with the open secret is if you 453 00:22:05,760 --> 00:22:08,600 Speaker 4: build it below twenty five hundred pigs, so they'll say 454 00:22:08,600 --> 00:22:12,080 Speaker 4: it's four hundred ninety nine, it's a different regulatory structure. 455 00:22:12,359 --> 00:22:14,400 Speaker 4: But the open secret is they put four thousand in them. 456 00:22:14,760 --> 00:22:16,399 Speaker 4: No one's checking this. 457 00:22:16,640 --> 00:22:19,040 Speaker 2: Yeah, I mean this was one of the incredibly sad 458 00:22:19,480 --> 00:22:25,160 Speaker 2: themes running through your entire book. Joe doesn't care about animals. Joe, 459 00:22:25,200 --> 00:22:25,800 Speaker 2: if I had. 460 00:22:25,640 --> 00:22:28,919 Speaker 3: To thought of the thought of four thousand pigs in 461 00:22:28,960 --> 00:22:32,520 Speaker 3: a metal cage that's designed for twenty five hundred pigs 462 00:22:32,560 --> 00:22:33,159 Speaker 3: disturbs me. 463 00:22:33,280 --> 00:22:35,200 Speaker 2: Let me put that on that never see the light 464 00:22:35,240 --> 00:22:38,840 Speaker 2: of day. Yes, Joe's worst personality flaw, if I had 465 00:22:38,840 --> 00:22:40,920 Speaker 2: to choose one, is that when I when I show 466 00:22:41,000 --> 00:22:44,280 Speaker 2: him a picture of acute animal, he doesn't care at all. 467 00:22:44,280 --> 00:22:44,760 Speaker 4: Good for me. 468 00:22:44,880 --> 00:22:47,359 Speaker 2: That's actually a that's a compliment show. That's the worst 469 00:22:47,400 --> 00:22:50,919 Speaker 2: thing I can think. Okay, So there is that incredibly 470 00:22:50,960 --> 00:22:54,040 Speaker 2: sad aspect running throughout the book. There's also you know, 471 00:22:54,119 --> 00:22:56,840 Speaker 2: you mentioned the manure problem. One of the things I 472 00:22:56,880 --> 00:22:59,000 Speaker 2: was really interested to read in the book is that 473 00:22:59,160 --> 00:23:03,439 Speaker 2: often these big companies are rewarded for coming up with 474 00:23:03,560 --> 00:23:07,960 Speaker 2: solutions to problems that they essentially create. And I can't 475 00:23:08,000 --> 00:23:11,240 Speaker 2: remember the specific name of the cow one. 476 00:23:11,119 --> 00:23:12,919 Speaker 4: I want to Farros Farms and fair Life. 477 00:23:13,080 --> 00:23:15,760 Speaker 2: Yes, yes, can you talk a little bit about that, 478 00:23:15,880 --> 00:23:19,440 Speaker 2: like how companies are basically, you know, rewarded for doing this. 479 00:23:19,720 --> 00:23:24,240 Speaker 4: Oh, that's such a it's almost it's so comical, it's 480 00:23:24,240 --> 00:23:27,800 Speaker 4: so bad. So the big thing, any agricultures, like our 481 00:23:27,800 --> 00:23:31,680 Speaker 4: second largest contributor to climate change, and especially with beef 482 00:23:31,680 --> 00:23:34,719 Speaker 4: and dairy are driving it along with the fossil fuels 483 00:23:34,800 --> 00:23:38,840 Speaker 4: used in food grain production. So dairy, this is getting 484 00:23:38,840 --> 00:23:40,439 Speaker 4: in the weeds. But you know, normally used to be 485 00:23:40,480 --> 00:23:43,480 Speaker 4: pastured family dairy farmers. You know they have sixty seventy cows. 486 00:23:44,080 --> 00:23:46,240 Speaker 4: The cow defecates and you know, creates the fertilizer for 487 00:23:46,280 --> 00:23:48,240 Speaker 4: its feet when you put them into a metal shed, 488 00:23:48,400 --> 00:23:52,359 Speaker 4: they pull the manure. Well, when that manure breaks down 489 00:23:52,800 --> 00:23:55,639 Speaker 4: in a pooled environment, it creates methane gas that's not 490 00:23:55,720 --> 00:23:58,840 Speaker 4: produced when it's on land, and so you have all 491 00:23:58,840 --> 00:24:02,520 Speaker 4: this additional, you know, climate change contributing gas being produced 492 00:24:02,520 --> 00:24:03,639 Speaker 4: in this production model. 493 00:24:03,760 --> 00:24:07,000 Speaker 2: So if the cows are in a field somewhere pooping 494 00:24:07,080 --> 00:24:10,679 Speaker 2: the normal way, that manure would end up on grass 495 00:24:10,680 --> 00:24:13,080 Speaker 2: and it would break down and there wouldn't be a 496 00:24:13,080 --> 00:24:15,760 Speaker 2: lot of methane generated just from that process. 497 00:24:15,440 --> 00:24:17,160 Speaker 4: Can go okay. So not only so when you put 498 00:24:17,200 --> 00:24:19,800 Speaker 4: them inside you create this methane, this additional methane. You're 499 00:24:19,800 --> 00:24:22,359 Speaker 4: also using philesip fuels to grow their feet inside. So 500 00:24:22,400 --> 00:24:24,600 Speaker 4: what the industry is trying to do is create some 501 00:24:24,680 --> 00:24:28,040 Speaker 4: these manure biogesters are called. You basically pool the manure 502 00:24:28,280 --> 00:24:30,320 Speaker 4: and you try to capture the gas coming the methane 503 00:24:30,320 --> 00:24:33,960 Speaker 4: gas coming off it. It takes an immense amount of subsidy, 504 00:24:34,600 --> 00:24:37,000 Speaker 4: and that is USDA is big one of the big 505 00:24:37,040 --> 00:24:40,200 Speaker 4: there're big solutions to climate change right now, is spending 506 00:24:40,240 --> 00:24:42,320 Speaker 4: a ton of money on this. The problem with that 507 00:24:42,440 --> 00:24:46,000 Speaker 4: is you're incentivizing a really destructive model. The dairy industry 508 00:24:46,040 --> 00:24:47,840 Speaker 4: is fascinating to me. It's one of the most complex 509 00:24:47,840 --> 00:24:50,160 Speaker 4: commodities in my opinion. The joke in the dairy world 510 00:24:50,280 --> 00:24:52,320 Speaker 4: is only five people understand that the dairy system, and 511 00:24:52,320 --> 00:24:55,240 Speaker 4: four of them are dead, but are Milk consumption is 512 00:24:55,280 --> 00:24:58,119 Speaker 4: going down, but our dairy consumptions going up because we're 513 00:24:58,119 --> 00:25:01,040 Speaker 4: eating more cheese and ice cream. Those aren't healthy things, 514 00:25:01,280 --> 00:25:03,240 Speaker 4: and we're producing more. And we're also doing in regions 515 00:25:03,240 --> 00:25:07,080 Speaker 4: that environmentally cannot sustain it, the Texas Panhandle in New Mexico. 516 00:25:07,200 --> 00:25:10,600 Speaker 4: Like my favorite little cocktail chatter is that Mexico Dairy 517 00:25:10,640 --> 00:25:13,840 Speaker 4: does three times more dairy than Vermont. And so you 518 00:25:14,000 --> 00:25:18,840 Speaker 4: have this system, this is being sold as a solution 519 00:25:19,119 --> 00:25:21,640 Speaker 4: to a problem it created itself that didn't exist before. 520 00:25:22,320 --> 00:25:25,600 Speaker 4: And that to me is like, I mean, they're trying 521 00:25:25,600 --> 00:25:26,680 Speaker 4: to put ethyl on the airplanes. 522 00:25:26,720 --> 00:25:26,920 Speaker 2: Now. 523 00:25:27,040 --> 00:25:29,359 Speaker 4: I thought that the conversation ethanol's over. But that's a 524 00:25:29,440 --> 00:25:32,560 Speaker 4: sort of the modern agricultural system is we have all 525 00:25:32,680 --> 00:25:37,520 Speaker 4: this money sloshing around, kind of corrupting an honest conversation. 526 00:25:53,560 --> 00:25:56,800 Speaker 3: In your life and maybe even within the span of 527 00:25:56,880 --> 00:25:59,359 Speaker 3: time that you've got interested in this specific subject that 528 00:25:59,480 --> 00:26:03,200 Speaker 3: wrote the book, have you sensed a change in the 529 00:26:03,240 --> 00:26:06,359 Speaker 3: politics of food because I feel like when I was 530 00:26:06,400 --> 00:26:11,560 Speaker 3: a kid, that being anti factory farming as it was called, 531 00:26:11,760 --> 00:26:16,720 Speaker 3: animal welfare, multinational corporations, many of these things I would 532 00:26:16,720 --> 00:26:21,399 Speaker 3: have primarily associated with liberals or the left. And I 533 00:26:21,480 --> 00:26:25,080 Speaker 3: get the impression that these days that actually, like the 534 00:26:25,160 --> 00:26:28,199 Speaker 3: sort of debasing of the food system, the poisoning of 535 00:26:28,280 --> 00:26:32,760 Speaker 3: the food system, et cetera, is actually migrating a little bit, 536 00:26:32,800 --> 00:26:35,119 Speaker 3: and that you see more of this talk on the right. 537 00:26:35,240 --> 00:26:37,679 Speaker 3: There's even something you've written about, which is that I 538 00:26:37,680 --> 00:26:41,040 Speaker 3: think it was in like the nineteen ninety six primary, 539 00:26:41,119 --> 00:26:43,840 Speaker 3: Pat Buchanan making a lot of hay, so to speak, 540 00:26:44,400 --> 00:26:48,480 Speaker 3: by talking about thank you, not intentional changes in hog production, 541 00:26:48,600 --> 00:26:51,520 Speaker 3: but that the dominant strain among mainstream Republicans was like 542 00:26:51,520 --> 00:26:53,800 Speaker 3: pretty like safely on the side of the big business. 543 00:26:53,800 --> 00:26:56,000 Speaker 3: Can you talk a little bit about that political evolution? 544 00:26:56,359 --> 00:26:57,800 Speaker 4: Yeah, I mean that to me is like one of 545 00:26:57,800 --> 00:27:01,040 Speaker 4: the most hopeful things about this the food system right 546 00:27:01,080 --> 00:27:04,199 Speaker 4: now is the chance for a bipartisan reform movement. I 547 00:27:04,240 --> 00:27:06,040 Speaker 4: mean a lot of the ideas in the book started 548 00:27:06,040 --> 00:27:08,080 Speaker 4: in articles I wrote in An American Conservative. I mean 549 00:27:08,080 --> 00:27:10,919 Speaker 4: that I was very intentional on that, but I mean 550 00:27:10,960 --> 00:27:13,160 Speaker 4: I think a few things are contributing to that. Number One. 551 00:27:13,320 --> 00:27:15,080 Speaker 4: I feel like when most Americans go abroad now, one 552 00:27:15,080 --> 00:27:16,439 Speaker 4: of the first things you always hear from them is 553 00:27:16,560 --> 00:27:17,919 Speaker 4: food is better and cheaper abroad. 554 00:27:18,080 --> 00:27:22,240 Speaker 3: And I lost while I was traveling on Italian post 555 00:27:23,119 --> 00:27:24,080 Speaker 3: that Yeah, yeah, that. 556 00:27:24,160 --> 00:27:26,960 Speaker 4: And then also like the undercurrent two for a lot 557 00:27:27,000 --> 00:27:29,680 Speaker 4: of these parents, I mean, especially in meat packing, they're 558 00:27:29,680 --> 00:27:34,399 Speaker 4: not American companies the meat industry, these are state backed monopolies. 559 00:27:34,440 --> 00:27:36,840 Speaker 4: I mean, they're they're intentional development strategies of like in 560 00:27:36,880 --> 00:27:40,240 Speaker 4: the beef packing, my sladering Baron is a JBS. First 561 00:27:40,240 --> 00:27:42,960 Speaker 4: of all, they became a monopoly through bribery. They admitted 562 00:27:42,960 --> 00:27:44,640 Speaker 4: to it, and the fact that we let them keep 563 00:27:44,640 --> 00:27:47,520 Speaker 4: their monopoly status is kind of incredible. But that was 564 00:27:47,520 --> 00:27:50,000 Speaker 4: an intentional development strategy by the country of Brazil to 565 00:27:50,119 --> 00:27:54,400 Speaker 4: have a dominant player. And so that's why, I mean, 566 00:27:54,560 --> 00:27:56,480 Speaker 4: the beef farmers right now have just been an uproar 567 00:27:56,520 --> 00:27:58,680 Speaker 4: the last few years because I mean, they're if I 568 00:27:58,720 --> 00:28:00,680 Speaker 4: could include one graph of my book would be on 569 00:28:00,960 --> 00:28:02,480 Speaker 4: what you're paying in the store for beef and what 570 00:28:02,560 --> 00:28:04,720 Speaker 4: ranchers are getting. It is diverged so much. 571 00:28:04,920 --> 00:28:07,399 Speaker 2: The margins basically yes. 572 00:28:07,240 --> 00:28:10,000 Speaker 4: Say more on the So basically the family farm has 573 00:28:10,080 --> 00:28:12,520 Speaker 4: died in dairy and hog production, beef is the last 574 00:28:12,520 --> 00:28:16,720 Speaker 4: one standing. And you have you know, these animals are huge, 575 00:28:16,720 --> 00:28:18,920 Speaker 4: you can't ship them far. So even though you know 576 00:28:19,040 --> 00:28:21,280 Speaker 4: three companies might have let's say eighty percent market sure 577 00:28:21,320 --> 00:28:23,159 Speaker 4: when you're in Montana, you really don'tly only have one 578 00:28:23,240 --> 00:28:25,560 Speaker 4: or two packers. And so what they're trying to do 579 00:28:25,640 --> 00:28:28,199 Speaker 4: right now, besides only having one or two options, is 580 00:28:28,200 --> 00:28:30,359 Speaker 4: they're trying to kill the spot market, which in my 581 00:28:30,400 --> 00:28:33,679 Speaker 4: head I compared to eBay. They want production contracts, and 582 00:28:33,760 --> 00:28:37,440 Speaker 4: so you're having this combination of the US cattle herd 583 00:28:37,520 --> 00:28:39,320 Speaker 4: is at the lows since nineteen fifties, and part of 584 00:28:39,320 --> 00:28:42,240 Speaker 4: that's because of the drought and the Great Plains. But also, 585 00:28:42,720 --> 00:28:45,600 Speaker 4: and this is where I think is super fascinating is 586 00:28:45,800 --> 00:28:49,800 Speaker 4: GPS has it has production, it's slaughterers animals and all 587 00:28:49,840 --> 00:28:53,680 Speaker 4: the beef production regions of the world Australia, Brazil and America, 588 00:28:54,320 --> 00:28:56,320 Speaker 4: and so it just kind of shuffles based on currencies 589 00:28:56,640 --> 00:28:59,720 Speaker 4: that beef you're seen in the store, So farmers are 590 00:29:00,440 --> 00:29:02,120 Speaker 4: they just don't have a lot of buying power right now. 591 00:29:02,920 --> 00:29:04,560 Speaker 4: The other thing too, with beef is they haven't quite 592 00:29:04,560 --> 00:29:06,640 Speaker 4: figured out the industrial production model with it. 593 00:29:06,640 --> 00:29:12,520 Speaker 2: They're starting to industrial production model of beef. Sounds delicious, No, 594 00:29:12,520 --> 00:29:16,320 Speaker 2: no dystopian, thank you too. So there are a number 595 00:29:16,320 --> 00:29:20,640 Speaker 2: of moments in this book that are disturbing in various ways. 596 00:29:20,760 --> 00:29:24,080 Speaker 2: And one of the moments where I kind of gasped 597 00:29:24,240 --> 00:29:27,440 Speaker 2: audibly had to do with the dairy industry and the 598 00:29:27,560 --> 00:29:32,240 Speaker 2: checkof system. And a lot of people will never have 599 00:29:32,400 --> 00:29:36,360 Speaker 2: heard of checkofs, but they will have heard of advertising 600 00:29:36,480 --> 00:29:40,200 Speaker 2: campaigns like got Milk. So could you maybe explain what 601 00:29:40,280 --> 00:29:42,560 Speaker 2: those are and how they tie into I guess the 602 00:29:42,600 --> 00:29:46,280 Speaker 2: structural decision to over produce certain commodities and then you 603 00:29:46,360 --> 00:29:49,240 Speaker 2: have to figure out ways to ramp up consumption. 604 00:29:49,560 --> 00:29:51,800 Speaker 4: Yeah. No, I'm so glad you asked about checkofs because 605 00:29:51,840 --> 00:29:53,880 Speaker 4: it's one of those things where I was so determined 606 00:29:53,880 --> 00:29:55,800 Speaker 4: to put them in my book, but it's so hard 607 00:29:55,800 --> 00:29:58,160 Speaker 4: to explain it to people. So checkofs go back to 608 00:29:58,160 --> 00:30:00,520 Speaker 4: the nineteen thirties. They come out of Florida. It was 609 00:30:00,600 --> 00:30:03,400 Speaker 4: basically these tiny little things of flora orange juice way 610 00:30:03,440 --> 00:30:06,920 Speaker 4: to advertise a commodity. They were a little tax on producers. 611 00:30:07,480 --> 00:30:10,000 Speaker 4: They rarely started ramping up in the nineteen eighties, as 612 00:30:10,080 --> 00:30:11,920 Speaker 4: is what I call the Wall Street farm belt to cold. 613 00:30:12,160 --> 00:30:15,680 Speaker 4: Where As them were over producing a few things, how 614 00:30:15,680 --> 00:30:17,880 Speaker 4: do we stimulate demand became the goal of a check off, 615 00:30:18,520 --> 00:30:21,360 Speaker 4: so farmers. I tell the story how farmers could vote 616 00:30:21,400 --> 00:30:23,560 Speaker 4: to create one and they create one. There's a whole 617 00:30:23,560 --> 00:30:25,840 Speaker 4: different conversation over farmers could vote in one, but the 618 00:30:25,920 --> 00:30:27,480 Speaker 4: USDA won't allow it, and I kind of tell that 619 00:30:27,480 --> 00:30:29,880 Speaker 4: story with hogs. They threw out the vote in the 620 00:30:29,960 --> 00:30:33,560 Speaker 4: late nineties. But so you have this, most of them 621 00:30:33,560 --> 00:30:35,240 Speaker 4: are kind of small. There's like twenty or thirty check 622 00:30:35,240 --> 00:30:37,640 Speaker 4: offs Christmas Tree check off, popcorn check off there mostly 623 00:30:38,040 --> 00:30:38,320 Speaker 4: so the. 624 00:30:38,360 --> 00:30:41,200 Speaker 2: Christmas tree farmers basically got together and they say we're gonna, 625 00:30:41,320 --> 00:30:43,920 Speaker 2: you know, pool like a certain amount of money, and 626 00:30:43,960 --> 00:30:47,280 Speaker 2: that money is going to go to promoting Christmas trees 627 00:30:47,320 --> 00:30:48,560 Speaker 2: and getting people to buy more. 628 00:30:48,840 --> 00:30:52,040 Speaker 4: Yes, but dairy's a different one. Dairy we're talking about 629 00:30:52,040 --> 00:30:55,280 Speaker 4: a six hundred million dollar annual budget, so you're taking 630 00:30:55,280 --> 00:30:57,400 Speaker 4: at tax and dairy farmers and it was, you know, 631 00:30:57,440 --> 00:31:00,640 Speaker 4: got milk is the famous thing. But they real My 632 00:31:00,720 --> 00:31:03,840 Speaker 4: conversations with people is that didn't stimulate demand, or it 633 00:31:03,880 --> 00:31:06,880 Speaker 4: didn't really work. So what I argue has happened is 634 00:31:06,960 --> 00:31:10,000 Speaker 4: instead of trying to do advertisement, it's moved to financing 635 00:31:10,080 --> 00:31:13,080 Speaker 4: junk science. A lot of this science over these minor 636 00:31:13,160 --> 00:31:16,120 Speaker 4: digesters is being financed by these check offs, by the 637 00:31:16,160 --> 00:31:18,600 Speaker 4: dairy chuck off. To me, it's filling the void as 638 00:31:18,600 --> 00:31:22,080 Speaker 4: we privatize our colleges, universities of America, especially the land 639 00:31:22,080 --> 00:31:24,240 Speaker 4: grants and all the country. The check off dollars have 640 00:31:24,280 --> 00:31:27,080 Speaker 4: filled that void. And so that to means why the 641 00:31:27,080 --> 00:31:30,960 Speaker 4: agricultural markets that partly have gotten so concentrated, is you 642 00:31:31,120 --> 00:31:34,040 Speaker 4: have this whole pot of money collectively eight hundred billion 643 00:31:34,080 --> 00:31:35,800 Speaker 4: dollars we don't even know, by the way, because USDA 644 00:31:35,840 --> 00:31:38,080 Speaker 4: is atrocious that keeping track of it. There's tons of 645 00:31:38,080 --> 00:31:41,479 Speaker 4: government accountability reports getting on them to do something. They 646 00:31:41,480 --> 00:31:44,320 Speaker 4: don't do anything. But it's revolving door. So a lot 647 00:31:44,320 --> 00:31:46,160 Speaker 4: of USDA officials go work at a check off, they 648 00:31:46,160 --> 00:31:49,720 Speaker 4: come back. Secretary of Villsac did that. So between administrations, 649 00:31:49,760 --> 00:31:52,400 Speaker 4: his job was he was an dairy export lobbyist. So 650 00:31:52,440 --> 00:31:55,040 Speaker 4: his job was Canada has a supply management dairy system, 651 00:31:55,280 --> 00:31:56,840 Speaker 4: so his job was basically gut it so we could 652 00:31:56,880 --> 00:32:00,200 Speaker 4: dump our surplus cheese into their markets. But that me 653 00:32:00,400 --> 00:32:03,360 Speaker 4: is such a key thing. So my dairy baron, I 654 00:32:03,640 --> 00:32:06,360 Speaker 4: tell the story of how he actually first financed a 655 00:32:06,440 --> 00:32:09,760 Speaker 4: lawsuit to in the check off because what he realized 656 00:32:09,800 --> 00:32:12,600 Speaker 4: what happened with hogs in Iowa was he needs to 657 00:32:12,640 --> 00:32:14,720 Speaker 4: have a branded thing or else he's going to die 658 00:32:14,760 --> 00:32:18,000 Speaker 4: like the hog farmers. He tested out in Texas at 659 00:32:18,040 --> 00:32:21,760 Speaker 4: the grocery store, hab like a bougie milk product, and 660 00:32:21,880 --> 00:32:25,920 Speaker 4: he was upset, Why finance my competitor, this generic milk product, 661 00:32:26,240 --> 00:32:28,480 Speaker 4: So he financed lawsuit Dennet and basically I tell the 662 00:32:28,480 --> 00:32:30,520 Speaker 4: story of how he seemingly made peace with the check 663 00:32:30,560 --> 00:32:32,600 Speaker 4: off and he was able to use some checkoff dollars 664 00:32:32,800 --> 00:32:36,000 Speaker 4: to finance not only you know, these manure digesters, but 665 00:32:36,040 --> 00:32:39,040 Speaker 4: also this branded drink he helped create called fair Life. 666 00:32:39,240 --> 00:32:41,720 Speaker 4: If you got any GM in America, young men love 667 00:32:41,760 --> 00:32:43,840 Speaker 4: it because it's super high protein content. If you got 668 00:32:43,840 --> 00:32:46,160 Speaker 4: a plant fitness, it's just full of kids drinking that stuff. 669 00:32:46,800 --> 00:32:48,120 Speaker 2: Something to replace celsium. 670 00:32:48,280 --> 00:32:51,080 Speaker 3: Yeah, that sounds good. Yeah, that's that's my first thought. 671 00:32:51,080 --> 00:32:52,560 Speaker 3: I was like, Oh, I'm going to try when tomorrow 672 00:32:52,600 --> 00:32:55,960 Speaker 3: when I go to the gym. You mentioned that so 673 00:32:56,080 --> 00:32:59,600 Speaker 3: much of the land in Iowa is not owned by 674 00:32:59,640 --> 00:33:03,600 Speaker 3: Iowa anymore. You know, Like I said, I was born 675 00:33:03,640 --> 00:33:06,720 Speaker 3: in Michigan. I lived for many years in Illinois, but 676 00:33:06,800 --> 00:33:08,600 Speaker 3: I didn't want to stay in the Midwest. I wanted 677 00:33:08,640 --> 00:33:11,440 Speaker 3: to come to New York City and be a professional podcaster. 678 00:33:12,200 --> 00:33:15,400 Speaker 3: And I get like sentimentally, like I said, Oh, my 679 00:33:15,840 --> 00:33:19,520 Speaker 3: idyllic family farm in Alligated in Michigan, it was so 680 00:33:19,520 --> 00:33:21,840 Speaker 3: beautiful in the berries. But like, ultimately, like I didn't 681 00:33:21,880 --> 00:33:24,200 Speaker 3: want to stay. You know, I never aspired to be 682 00:33:24,280 --> 00:33:26,920 Speaker 3: a farmer. Like, how much of this is just like 683 00:33:27,600 --> 00:33:31,280 Speaker 3: structural changes in people's preferences that are just sort of 684 00:33:31,520 --> 00:33:35,840 Speaker 3: maybe even much bigger than food. And yeah, you know, 685 00:33:36,000 --> 00:33:39,560 Speaker 3: we remember fondly these small farms, but the next generation 686 00:33:39,640 --> 00:33:40,600 Speaker 3: doesn't want to stick around. 687 00:33:40,920 --> 00:33:43,680 Speaker 4: I mean, that's a really key point to remember. And 688 00:33:43,720 --> 00:33:46,120 Speaker 4: that's something I mean, I wrote this book over five years. Yeah, 689 00:33:46,120 --> 00:33:47,360 Speaker 4: and the beauty of doing that is you write a 690 00:33:47,360 --> 00:33:50,200 Speaker 4: little bit, you walk away, and we romanticize a Glorian 691 00:33:50,240 --> 00:33:52,120 Speaker 4: pass a lot. Yeah. I don't want to go back 692 00:33:52,120 --> 00:33:54,760 Speaker 4: to that new deal supply management system because in the day, 693 00:33:56,120 --> 00:33:57,920 Speaker 4: I'm at the point now we junk the farm bill, 694 00:33:58,120 --> 00:34:01,560 Speaker 4: take that money it's too corrupted put into conservation programs 695 00:34:01,680 --> 00:34:03,840 Speaker 4: because every farmland is different. The way you do farmland 696 00:34:03,840 --> 00:34:06,800 Speaker 4: connecticuts different than Hawaii than Iowa. Also, the growth of 697 00:34:06,880 --> 00:34:10,239 Speaker 4: robotics in agriculture has been really underappreciated. You go to 698 00:34:10,239 --> 00:34:12,440 Speaker 4: a farm show. Now, these things drive themselves. I mean 699 00:34:12,440 --> 00:34:15,120 Speaker 4: they cost like six hundred thousand dollars and they're gonna 700 00:34:15,120 --> 00:34:18,359 Speaker 4: happen before cars. So like most there's a very good 701 00:34:18,400 --> 00:34:20,960 Speaker 4: chance that most Roe crops are going to be robotics 702 00:34:21,080 --> 00:34:24,960 Speaker 4: very very soon. But to me, animals is the key 703 00:34:25,000 --> 00:34:29,080 Speaker 4: thing here. I really want to put animals back on 704 00:34:29,120 --> 00:34:31,320 Speaker 4: the land because the whole thing too to keep in 705 00:34:31,400 --> 00:34:34,480 Speaker 4: mind is this model makes pretty bad tasting food. When 706 00:34:34,480 --> 00:34:36,040 Speaker 4: I was writing this book, I was doing a little 707 00:34:36,040 --> 00:34:37,120 Speaker 4: like I would do a milk tasting. 708 00:34:37,280 --> 00:34:40,960 Speaker 2: This is how you get those steak officionados on board 709 00:34:41,000 --> 00:34:45,359 Speaker 2: by saying you'll have more abundant, good quality meat by 710 00:34:45,400 --> 00:34:46,400 Speaker 2: fixing the system. 711 00:34:46,600 --> 00:34:48,640 Speaker 4: Oh like my wedding. My husband and I got married 712 00:34:48,640 --> 00:34:50,960 Speaker 4: in Iowa, and I was insistent we had pastor meat 713 00:34:50,960 --> 00:34:53,320 Speaker 4: and dairy. My mom's on a tow alve Irish Catholic, 714 00:34:53,320 --> 00:34:55,680 Speaker 4: you know, tales all this time, and we serve pork, 715 00:34:55,719 --> 00:34:57,680 Speaker 4: and the amount of people in my Iowa family is like, 716 00:34:57,680 --> 00:34:59,719 Speaker 4: this is the best tasting pork. Was just like we 717 00:34:59,800 --> 00:35:01,719 Speaker 4: kept hearing that, and it's just like, oh, you're used 718 00:35:01,719 --> 00:35:04,080 Speaker 4: to like when animal sands inside the metal shuttle that 719 00:35:04,160 --> 00:35:05,640 Speaker 4: needs corn from a ceiling, it's not going to taste 720 00:35:05,640 --> 00:35:07,240 Speaker 4: as good as animal that does piggy things. 721 00:35:24,040 --> 00:35:27,520 Speaker 2: So you mentioned scrapping the farmvillage just then what can 722 00:35:27,560 --> 00:35:30,080 Speaker 2: be done at this point too, I guess reverse some 723 00:35:30,120 --> 00:35:35,080 Speaker 2: of the structural decisions that have gone into producing America's 724 00:35:35,120 --> 00:35:37,160 Speaker 2: agricultural system as it is now. 725 00:35:37,480 --> 00:35:39,439 Speaker 4: Yeah, So one of the things that gives me hope 726 00:35:39,480 --> 00:35:42,120 Speaker 4: is the movement to evs, electric vehicles and cars. It's 727 00:35:42,160 --> 00:35:44,319 Speaker 4: going to kill ethanol. I think ethanol has been one 728 00:35:44,320 --> 00:35:46,799 Speaker 4: of the most destructive things happened to the Middlewest. It 729 00:35:46,960 --> 00:35:48,840 Speaker 4: actually pushed a lot of cattle farmers out, but you know, 730 00:35:48,920 --> 00:35:51,960 Speaker 4: pushed them off their land. Instead of having cattle and pasture, 731 00:35:52,000 --> 00:35:54,600 Speaker 4: they put in corn. And also, the thing to keep 732 00:35:54,600 --> 00:35:57,720 Speaker 4: in mind is the single largest use of cornhouse ethanol. 733 00:35:58,400 --> 00:36:00,720 Speaker 4: And that transition is going to happen fast. When it happens, 734 00:36:00,760 --> 00:36:04,399 Speaker 4: and so how do we kind of start pivoting? So 735 00:36:04,600 --> 00:36:07,839 Speaker 4: as you know, ethanol dies that we slowly phase out 736 00:36:07,840 --> 00:36:10,879 Speaker 4: these industrial animal facilities, but animals back on the land. 737 00:36:11,160 --> 00:36:13,720 Speaker 4: It's a good jobs program, you know, for rural America, 738 00:36:13,719 --> 00:36:16,239 Speaker 4: because there's only so many animals one person can do. 739 00:36:16,800 --> 00:36:19,840 Speaker 4: I think using school meals is a really good procurement 740 00:36:19,880 --> 00:36:22,200 Speaker 4: way to like drive the supply chain. Like who does 741 00:36:22,800 --> 00:36:26,160 Speaker 4: who doesn't want Wisconsin kids even drinking pasture milk? You know, 742 00:36:26,280 --> 00:36:29,360 Speaker 4: stuff like that. And then what started this whole conversation 743 00:36:29,400 --> 00:36:32,080 Speaker 4: over berries is that model of berry production is rooted 744 00:36:32,120 --> 00:36:36,399 Speaker 4: in sharecropping and just ban that, like you can't. 745 00:36:36,960 --> 00:36:39,000 Speaker 3: Explain more what is the specific berry model? 746 00:36:39,040 --> 00:36:41,359 Speaker 4: So the berry model actually comes out chicken. I didn't 747 00:36:41,360 --> 00:36:45,960 Speaker 4: even when I started writing this tournament. It's a tournament's system. 748 00:36:46,200 --> 00:36:48,239 Speaker 4: So when the meat regulations were written in a century ago 749 00:36:48,280 --> 00:36:50,520 Speaker 4: and response to the junkle and all that stuff, chicken 750 00:36:50,560 --> 00:36:53,360 Speaker 4: wasn't written to the regulations, okay, because there wasn't. You 751 00:36:53,360 --> 00:36:54,880 Speaker 4: didn't buy chickens at the store. You just had on 752 00:36:54,880 --> 00:36:57,240 Speaker 4: in the backyard and you killed it. So this model 753 00:36:57,280 --> 00:36:59,360 Speaker 4: comes out of the South. Where have you guys to 754 00:36:59,400 --> 00:37:02,160 Speaker 4: find the trend system before I know? Or we need 755 00:37:02,200 --> 00:37:06,120 Speaker 4: a new US? Yes, okay, so they call it the 756 00:37:06,160 --> 00:37:08,640 Speaker 4: Southern model. If you're a chicken farmer in America, you 757 00:37:08,680 --> 00:37:11,319 Speaker 4: don't actually own your bird. You're given the bird by 758 00:37:11,320 --> 00:37:13,480 Speaker 4: the company, the feed toll it feed to use whatever. 759 00:37:14,000 --> 00:37:17,399 Speaker 4: You basically babysit the bird. You then sell, you give 760 00:37:17,400 --> 00:37:20,160 Speaker 4: it back to the company. They weigh it. You're paid 761 00:37:20,160 --> 00:37:22,759 Speaker 4: on tournament systems. Whoever adds the most weights gets paid 762 00:37:22,800 --> 00:37:26,520 Speaker 4: the most. So if Joe, you're not behaving badly, if 763 00:37:26,520 --> 00:37:28,480 Speaker 4: I don't really like you as some company, I give 764 00:37:28,480 --> 00:37:30,239 Speaker 4: you the run of litter, you get paid the lease. 765 00:37:30,760 --> 00:37:33,239 Speaker 4: You know you're not making that much money. Also, you 766 00:37:33,239 --> 00:37:35,960 Speaker 4: have a ton of debt. These stats are a little old, 767 00:37:36,000 --> 00:37:38,080 Speaker 4: but it's like seventy percent chicken farmers on America live 768 00:37:38,120 --> 00:37:41,080 Speaker 4: in poverty. And so you have this model take hold 769 00:37:41,239 --> 00:37:44,799 Speaker 4: in the South with chicken production. And because of that, 770 00:37:44,840 --> 00:37:48,080 Speaker 4: where you're shifting all the externalities and really abusing farmers 771 00:37:48,080 --> 00:37:51,280 Speaker 4: in labor, chickens really cheap to produce, so it gains 772 00:37:51,280 --> 00:37:54,200 Speaker 4: massive amount of market share in the protein markets. Well 773 00:37:54,239 --> 00:37:56,480 Speaker 4: instead of us stay, instead of forcing chicken to behave 774 00:37:56,560 --> 00:37:58,640 Speaker 4: like the other meats, what we see as a race 775 00:37:58,680 --> 00:38:01,920 Speaker 4: to the bottom. Arding the eastern shore of North Carolina, 776 00:38:02,000 --> 00:38:04,719 Speaker 4: the hog markets in the poor black areas starts doing 777 00:38:04,719 --> 00:38:06,960 Speaker 4: this model. To me is the best example of structural 778 00:38:07,000 --> 00:38:09,080 Speaker 4: racism in the food system is you have these poor 779 00:38:09,080 --> 00:38:12,120 Speaker 4: black areas North Carolina full of these industrial hawk facilities, 780 00:38:12,440 --> 00:38:15,319 Speaker 4: and because of the water table levels North Carolina, they 781 00:38:15,360 --> 00:38:17,360 Speaker 4: can't and usually and I where they take them manure 782 00:38:17,400 --> 00:38:19,520 Speaker 4: and they inject it into the field, and North Carolina 783 00:38:19,560 --> 00:38:21,719 Speaker 4: they spray it in the air. You have all these 784 00:38:21,719 --> 00:38:23,880 Speaker 4: stories of like you know, poor black churches having to 785 00:38:23,880 --> 00:38:26,600 Speaker 4: repeat their steeples every few years or they're dry. You know, 786 00:38:26,600 --> 00:38:29,200 Speaker 4: you can't do laundry outside, dry it out play. So 787 00:38:29,400 --> 00:38:32,640 Speaker 4: this model then replicates across the food system, most notably 788 00:38:32,719 --> 00:38:35,720 Speaker 4: the berries. And I tell this story how the Drisco 789 00:38:35,840 --> 00:38:38,600 Speaker 4: brothers were They were smart to realize the rise of Walmart. 790 00:38:38,640 --> 00:38:41,799 Speaker 4: Of Walmart wants one company to do four berries year round. 791 00:38:42,160 --> 00:38:44,800 Speaker 4: So what they start doing is so most berries, berries 792 00:38:44,840 --> 00:38:47,880 Speaker 4: are Strawberries are really fickle. Historically a lot of them 793 00:38:47,920 --> 00:38:49,320 Speaker 4: are grown on the California. 794 00:38:48,960 --> 00:38:50,960 Speaker 2: Coast, So they grow them on the coast, and they 795 00:38:51,000 --> 00:38:53,920 Speaker 2: realize that it's more efficient to have that sort of 796 00:38:53,960 --> 00:38:54,760 Speaker 2: outsourced labor. 797 00:38:54,880 --> 00:38:57,680 Speaker 4: Right outsourced labor, Well, you have the cost of housing 798 00:38:57,719 --> 00:39:01,319 Speaker 4: increasing in California. That's a very short growing window on 799 00:39:01,360 --> 00:39:03,520 Speaker 4: the coast. Historically it would move up that I cannot 800 00:39:03,520 --> 00:39:04,920 Speaker 4: remember if it moves up or down the coast, but 801 00:39:04,920 --> 00:39:07,120 Speaker 4: it would. The production region was shifted from city to 802 00:39:07,160 --> 00:39:10,759 Speaker 4: city for the berries. Well, they started moving production to 803 00:39:10,880 --> 00:39:14,680 Speaker 4: like Morocco, to Baja California, to the point now where 804 00:39:14,719 --> 00:39:18,640 Speaker 4: Driscoals grows berries on every single continent except Antarctica. But 805 00:39:18,680 --> 00:39:21,359 Speaker 4: part of it is by moving off short there's less 806 00:39:21,400 --> 00:39:24,960 Speaker 4: labor standards, there's less environmental standards. I spent a lot 807 00:39:25,000 --> 00:39:26,359 Speaker 4: of time in the book talking about how a lot 808 00:39:26,360 --> 00:39:28,840 Speaker 4: of berry production is in Baja California, in a region 809 00:39:28,920 --> 00:39:31,640 Speaker 4: that is just as dry as Death Valley. They drained 810 00:39:31,640 --> 00:39:34,399 Speaker 4: the aquifers, they and then they build a decalization plan 811 00:39:34,440 --> 00:39:37,040 Speaker 4: on the ocean. A lot of these are indigenous workers, 812 00:39:37,920 --> 00:39:40,880 Speaker 4: and no one really knows what goes on in these places. 813 00:39:40,880 --> 00:39:42,960 Speaker 4: I mean, there's these you see stories here and there 814 00:39:43,560 --> 00:39:45,480 Speaker 4: enough where it's like the tip of an iceberg where 815 00:39:45,480 --> 00:39:47,160 Speaker 4: you see like I mean, there's a story in Reuters 816 00:39:47,160 --> 00:39:49,560 Speaker 4: a few years ago how the gangs in Mexico gone 817 00:39:49,560 --> 00:39:52,200 Speaker 4: to avocados. You just don't know what's going on when 818 00:39:52,200 --> 00:39:53,399 Speaker 4: these supply chains get that long. 819 00:39:53,719 --> 00:39:58,400 Speaker 2: This is part of the bitcoin avocado correlation conspiracy that 820 00:39:58,600 --> 00:40:02,120 Speaker 2: the reason that correlation exist or used to exist because 821 00:40:02,120 --> 00:40:06,520 Speaker 2: it's broken down, has something to do with financing Mexican mafia. 822 00:40:06,719 --> 00:40:09,799 Speaker 3: I just have one last question. But since you brought 823 00:40:09,880 --> 00:40:13,120 Speaker 3: up Walmart, and of course for years and even still, 824 00:40:13,200 --> 00:40:15,960 Speaker 3: but for years, the sort of grocery store system in 825 00:40:16,000 --> 00:40:18,759 Speaker 3: the US was famously fragmented. There really weren't any sort 826 00:40:18,800 --> 00:40:23,919 Speaker 3: of dominant national chains. There were, you know, regional chains obviously, 827 00:40:24,360 --> 00:40:27,839 Speaker 3: just sort of big picture like, what is the existence 828 00:40:27,880 --> 00:40:33,640 Speaker 3: of this dominant nationwide grocery store, biggest grocery store company 829 00:40:33,680 --> 00:40:36,560 Speaker 3: in America? What are the ripple effects in terms of 830 00:40:37,120 --> 00:40:39,680 Speaker 3: you know, you mentioned berries, but in terms of creating 831 00:40:39,760 --> 00:40:43,439 Speaker 3: concentration of power elsewhere across the food supply chain from 832 00:40:43,440 --> 00:40:45,720 Speaker 3: the existence of this one powerful and seller. 833 00:40:46,520 --> 00:40:49,919 Speaker 4: Oh, the Walmart chapter, that might be my favorite chapter 834 00:40:49,960 --> 00:40:51,960 Speaker 4: of the book. It's twice as long as any other chapter. 835 00:40:52,040 --> 00:40:53,640 Speaker 4: I mean, I also just love grocery stores. Let me 836 00:40:53,680 --> 00:40:56,320 Speaker 4: start there, okay, but I also never thought of Walmart 837 00:40:56,320 --> 00:40:58,520 Speaker 4: as a grocery store when I started this book, even 838 00:40:58,560 --> 00:41:01,239 Speaker 4: though sixty percent of its sales grocery. I love this 839 00:41:01,239 --> 00:41:04,200 Speaker 4: little anecdote where Sam Walng got the idea from Walmart 840 00:41:04,200 --> 00:41:06,000 Speaker 4: from a French company car for if it have been 841 00:41:06,040 --> 00:41:08,120 Speaker 4: to Europe, you see these car wars everywhere he saw 842 00:41:08,160 --> 00:41:10,640 Speaker 4: on vacations, like I'm gonna copy that because it gets 843 00:41:10,640 --> 00:41:12,279 Speaker 4: you in the story. You need grocery to every few 844 00:41:12,360 --> 00:41:16,560 Speaker 4: days Walmart. At the same time Walmart's starting to rise, 845 00:41:16,920 --> 00:41:20,120 Speaker 4: you see this whole framework Robertson Patman at collapse, These 846 00:41:20,280 --> 00:41:24,720 Speaker 4: basically competition protections in the system between suppliers and vendors 847 00:41:24,719 --> 00:41:28,560 Speaker 4: like Walmart. And so as Walmart's market power gets bigger, 848 00:41:28,960 --> 00:41:31,200 Speaker 4: it's able to basically squeeze its supplier more and more. 849 00:41:31,400 --> 00:41:35,640 Speaker 4: And to me, this little nugget I found. I love 850 00:41:35,719 --> 00:41:38,840 Speaker 4: reading trade press and like these little regional business publications. 851 00:41:38,880 --> 00:41:41,520 Speaker 4: You find the best nuggets. In Northwest Arkansas, there's a 852 00:41:41,520 --> 00:41:43,759 Speaker 4: business publication I spend a lot of time with and 853 00:41:43,800 --> 00:41:46,840 Speaker 4: they report how Walmart has a rule with its vendors 854 00:41:47,080 --> 00:41:49,480 Speaker 4: then you cannot get more than thirty percent of your 855 00:41:49,520 --> 00:41:52,239 Speaker 4: sales from Walmart, which I didn't understand at first. I 856 00:41:52,239 --> 00:41:54,280 Speaker 4: had to ask around to the people in the grocery industry, 857 00:41:54,280 --> 00:41:56,840 Speaker 4: why do they have that rule? And that's a supply 858 00:41:56,920 --> 00:41:59,960 Speaker 4: chain risk management rule. Walmart knows is such a vult 859 00:42:00,120 --> 00:42:02,680 Speaker 4: sure that it puts it more than thirty percent of 860 00:42:02,719 --> 00:42:04,920 Speaker 4: your market. You know, sales come from Walmart. You're putting 861 00:42:04,920 --> 00:42:07,240 Speaker 4: the company in the you know, into a fragile space 862 00:42:08,000 --> 00:42:10,200 Speaker 4: at the same time too, So that really puts a 863 00:42:10,239 --> 00:42:12,360 Speaker 4: lot of power in Walmart's hands. I kind of compare 864 00:42:12,360 --> 00:42:15,279 Speaker 4: it to like supply and command. My husband rejected this idea, 865 00:42:15,320 --> 00:42:16,720 Speaker 4: but I really want to kind of frame this around 866 00:42:16,719 --> 00:42:18,120 Speaker 4: like the closest thing we've ever had to like an 867 00:42:18,120 --> 00:42:20,640 Speaker 4: American Paula Burero, He's gonna laugh when he hears that. 868 00:42:20,880 --> 00:42:23,839 Speaker 4: But the Walmart family, their power is just I mean, 869 00:42:24,000 --> 00:42:27,600 Speaker 4: they're the richest family in the world. And this whole 870 00:42:27,680 --> 00:42:30,080 Speaker 4: chapter's framed around Walmart and Amazon had been in this 871 00:42:30,160 --> 00:42:32,799 Speaker 4: epic battle centered in grocery the last few years, and 872 00:42:32,840 --> 00:42:35,279 Speaker 4: I kind of came away thinking Walmart's winning, and think 873 00:42:35,320 --> 00:42:37,280 Speaker 4: about the Walmart To keep in mind is Jeff Bezos 874 00:42:37,320 --> 00:42:40,240 Speaker 4: only owns like ten percent of Amazon. The Walmart family 875 00:42:40,280 --> 00:42:42,520 Speaker 4: owns majority of Walmart. I mean, they've been selling some 876 00:42:42,520 --> 00:42:44,880 Speaker 4: shares lately. I think it dipped finally below fifty percent. 877 00:42:45,280 --> 00:42:49,160 Speaker 4: But Walmart's goal is like, when Walmart comes to town, 878 00:42:49,160 --> 00:42:51,080 Speaker 4: you don't buy more milk, you just shift your production. 879 00:42:51,239 --> 00:42:53,960 Speaker 4: So Walmart has this gold basically capture every dollar of 880 00:42:54,000 --> 00:42:56,680 Speaker 4: America is under class. You know, they're putting these banks 881 00:42:56,680 --> 00:42:59,840 Speaker 4: inside Walmart's, They're putting these healthcare clinics inside Walmart's. But 882 00:43:00,000 --> 00:43:03,000 Speaker 4: they're also making vertical plays into the food system. They 883 00:43:03,080 --> 00:43:04,839 Speaker 4: just announced two weeks ago that they're building their third 884 00:43:04,880 --> 00:43:08,160 Speaker 4: dairy plant in Texas. They're making a big beef operation 885 00:43:08,520 --> 00:43:11,840 Speaker 4: in the plains. And from my conversations with people is 886 00:43:12,560 --> 00:43:15,480 Speaker 4: Walmart was so kind of fed up with being gouged 887 00:43:15,480 --> 00:43:19,120 Speaker 4: by the other barons that it made these is making 888 00:43:19,120 --> 00:43:20,680 Speaker 4: these vertical plays, so it has an insight in the 889 00:43:20,680 --> 00:43:23,320 Speaker 4: cough structure. So that way when it bargains with companies 890 00:43:23,360 --> 00:43:26,440 Speaker 4: and knows like no, no, no, don't don't toy us around. 891 00:43:27,200 --> 00:43:30,360 Speaker 2: Yeah, tired of barons, so it became a baron and 892 00:43:30,680 --> 00:43:34,319 Speaker 2: baron Joe, you and I went to Bentonville in Arkansas, 893 00:43:34,520 --> 00:43:38,400 Speaker 2: and you definitely get a sense of Walmart's power in 894 00:43:38,440 --> 00:43:43,279 Speaker 2: that particular town. Austin, that was so interesting and fascinating. 895 00:43:43,400 --> 00:43:46,000 Speaker 2: Thank you so much for coming on all lots and 896 00:43:46,200 --> 00:43:51,680 Speaker 2: listing your barons behind America's agricultural concentration. Thank you so much, 897 00:43:51,920 --> 00:43:52,919 Speaker 2: Thank you for having me on. 898 00:44:05,440 --> 00:44:05,600 Speaker 4: Jo. 899 00:44:05,920 --> 00:44:07,880 Speaker 2: I want to ask if you enjoyed that conversation, but 900 00:44:07,920 --> 00:44:11,160 Speaker 2: that doesn't seem like the right question. Let me ask, 901 00:44:11,280 --> 00:44:13,319 Speaker 2: are you as are you going to be walking into 902 00:44:13,320 --> 00:44:17,640 Speaker 2: grocery stores muttering about antitrust and concentration and the illusion 903 00:44:17,640 --> 00:44:19,040 Speaker 2: of choice like I am Now. 904 00:44:19,520 --> 00:44:22,239 Speaker 3: Maybe I think probably to some extent, I'm definitely going 905 00:44:22,320 --> 00:44:22,840 Speaker 3: to pay more. 906 00:44:22,840 --> 00:44:25,360 Speaker 2: You're gonna be dancing down the aisles going this steak 907 00:44:25,440 --> 00:44:26,120 Speaker 2: is on sale. 908 00:44:26,280 --> 00:44:30,680 Speaker 3: Well, so my takeaway from this conversation is that a 909 00:44:30,719 --> 00:44:34,680 Speaker 3: lot of it is really about values. We can have 910 00:44:34,719 --> 00:44:40,959 Speaker 3: a calorically abundant, hyper efficient food supply chain where maybe 911 00:44:40,960 --> 00:44:42,880 Speaker 3: it's not the best tasting meat, but a lot of 912 00:44:42,920 --> 00:44:46,560 Speaker 3: people can afford steak and hamburger meat and even fresh 913 00:44:46,600 --> 00:44:48,360 Speaker 3: berries on a way that may not have been the 914 00:44:48,400 --> 00:44:52,120 Speaker 3: case twenty thirty or forty years ago. But there are 915 00:44:52,200 --> 00:44:55,520 Speaker 3: clearly environmental externalities. Someone is going to pay the cost, 916 00:44:55,800 --> 00:44:59,239 Speaker 3: and there are big structural changes to society in the 917 00:44:59,280 --> 00:45:02,040 Speaker 3: sense that do we want a handful of companies, say 918 00:45:02,120 --> 00:45:06,000 Speaker 3: owning a huge swath of the land in Iowa or 919 00:45:06,040 --> 00:45:10,840 Speaker 3: Michigan or elsewhere, Like, these are pretty legitimate debates to 920 00:45:10,920 --> 00:45:14,239 Speaker 3: be having, and what is the optimal trade off and 921 00:45:14,719 --> 00:45:18,040 Speaker 3: what is the optimal mix. So I do think there 922 00:45:18,080 --> 00:45:20,600 Speaker 3: is a lot of fertile ground for figuring out, like, well, 923 00:45:20,600 --> 00:45:22,319 Speaker 3: where do we want to like calibrate that dial. 924 00:45:22,560 --> 00:45:25,880 Speaker 2: I think that's a totally fair way of putting it. Absolutely, 925 00:45:25,880 --> 00:45:28,560 Speaker 2: it's a value judgment about what kind of system you 926 00:45:28,760 --> 00:45:31,239 Speaker 2: want to see. I do think there is a tendency, 927 00:45:31,520 --> 00:45:33,879 Speaker 2: not just with agriculture, but we talk about this all 928 00:45:33,920 --> 00:45:36,400 Speaker 2: the time in finance, this idea that you kind of 929 00:45:36,440 --> 00:45:40,240 Speaker 2: think certain things are inevitable, like the existence of money 930 00:45:40,239 --> 00:45:43,160 Speaker 2: markets or euro dollars, that those kind of just happened, 931 00:45:43,160 --> 00:45:46,239 Speaker 2: but of course they were the product of conscious decisions 932 00:45:46,280 --> 00:45:49,840 Speaker 2: and there were reasons to do them. Same thing with agriculture. 933 00:45:49,960 --> 00:45:52,799 Speaker 2: Something like the farm bill might have made sense when 934 00:45:52,880 --> 00:45:55,480 Speaker 2: it was first proposed, maybe it doesn't make as much 935 00:45:55,480 --> 00:45:58,279 Speaker 2: sense now. One thing I think about now, though, is 936 00:45:58,480 --> 00:46:01,480 Speaker 2: I guess the experience of the past few years of inflation, 937 00:46:01,760 --> 00:46:05,480 Speaker 2: so much of which was in food prices, and I 938 00:46:05,520 --> 00:46:07,720 Speaker 2: can kind of see, on the one hand, okay, maybe 939 00:46:07,760 --> 00:46:12,160 Speaker 2: that leads us to reevaluate things like antitrust, So maybe 940 00:46:12,160 --> 00:46:14,680 Speaker 2: people start to wake up to the idea that, oh, well, 941 00:46:14,960 --> 00:46:18,480 Speaker 2: companies are pushing through price increases because there's not as 942 00:46:18,560 --> 00:46:21,680 Speaker 2: much competition as there used to be. On the other hand, 943 00:46:22,160 --> 00:46:24,319 Speaker 2: if we want to get really cynical about it, it 944 00:46:24,360 --> 00:46:28,520 Speaker 2: seems like people just really hate high food price, yes, 945 00:46:28,719 --> 00:46:31,000 Speaker 2: and so you could also see people going like, well, 946 00:46:31,120 --> 00:46:33,880 Speaker 2: we want to make those prices even lower, So let's 947 00:46:33,880 --> 00:46:39,000 Speaker 2: have more efficiencies, let's have bigger supermarkets, let's do less 948 00:46:39,120 --> 00:46:43,160 Speaker 2: environmental protection because that's expensive. So it feels like it 949 00:46:43,160 --> 00:46:44,800 Speaker 2: could go either way totally. 950 00:46:44,840 --> 00:46:47,920 Speaker 3: And you know, you mentioned, you know, or in the 951 00:46:48,000 --> 00:46:51,359 Speaker 3: early part of the conversation, this gap between you know, 952 00:46:51,480 --> 00:46:55,560 Speaker 3: fresh foods and fresh vegetables versus processed foods, and you know, 953 00:46:55,719 --> 00:46:58,640 Speaker 3: on some level, it's not surprising, right Historically, I mean, 954 00:46:58,680 --> 00:47:01,279 Speaker 3: if you went back a long time, there were like 955 00:47:01,440 --> 00:47:04,560 Speaker 3: mass famines and food would cost infinite amount because the 956 00:47:04,600 --> 00:47:07,560 Speaker 3: food did not exist. And so to some extent, we've 957 00:47:08,000 --> 00:47:12,759 Speaker 3: reduced that volatility in the price of food by essentially 958 00:47:12,800 --> 00:47:17,120 Speaker 3: reducing the amount that the end product is actually directly 959 00:47:17,160 --> 00:47:19,960 Speaker 3: related to a food commodity at all. And so, you know, 960 00:47:20,040 --> 00:47:22,600 Speaker 3: if you think about a Fredo there's some amount of 961 00:47:22,600 --> 00:47:24,880 Speaker 3: corn in there, but mostly it's the process of an 962 00:47:24,920 --> 00:47:27,480 Speaker 3: industrial process. But you don't have these big, you know, 963 00:47:27,600 --> 00:47:29,680 Speaker 3: swings in the price of Freedo's the way you're going 964 00:47:29,760 --> 00:47:32,480 Speaker 3: to have in swings in the price of corn, because 965 00:47:32,520 --> 00:47:35,800 Speaker 3: it's the end product is only partially related to the commodity. 966 00:47:36,200 --> 00:47:38,279 Speaker 3: There are some nice things about that, right Like, that is. 967 00:47:38,239 --> 00:47:42,520 Speaker 2: The most impassioned defense of Freedo's I've ever heard. It 968 00:47:42,560 --> 00:47:44,040 Speaker 2: actually makes a lot of sense. 969 00:47:44,120 --> 00:47:46,879 Speaker 3: Right Like, it's like it's sort of like built in 970 00:47:46,920 --> 00:47:49,359 Speaker 3: a built in price. But I do think a lot 971 00:47:49,400 --> 00:47:51,279 Speaker 3: of these things, like I didn't want to, you know, 972 00:47:51,520 --> 00:47:53,960 Speaker 3: stay in the Midwest. I was never really like there 973 00:47:54,000 --> 00:47:56,640 Speaker 3: was no prospect of me ever, I don't think working 974 00:47:56,800 --> 00:47:59,719 Speaker 3: on my grandmother's farm. But I think a lot of 975 00:47:59,719 --> 00:48:03,360 Speaker 3: these like strike about like deep questions about our value, 976 00:48:03,400 --> 00:48:05,640 Speaker 3: the values at a society. And I do think it's 977 00:48:05,680 --> 00:48:08,840 Speaker 3: interesting that there is this sort of change, maybe a 978 00:48:08,840 --> 00:48:11,880 Speaker 3: foot in the politics of food that is sort of 979 00:48:11,920 --> 00:48:14,560 Speaker 3: maybe bipartisan or trampeological. 980 00:48:14,840 --> 00:48:17,360 Speaker 2: Well that's my big question, because you feel like a 981 00:48:17,400 --> 00:48:20,480 Speaker 2: lot of the environmental concerns, like depending on how you 982 00:48:20,600 --> 00:48:24,680 Speaker 2: couch them, could have bipartisan appeal. So you know, there 983 00:48:24,719 --> 00:48:27,880 Speaker 2: are a lot of people in Republican states that enjoy 984 00:48:28,000 --> 00:48:31,480 Speaker 2: going out to the great outdoors and presumably don't want 985 00:48:31,520 --> 00:48:34,440 Speaker 2: to see a manure lagoon when they do that, and 986 00:48:34,480 --> 00:48:37,960 Speaker 2: so you feel like it could have wider appeal, just 987 00:48:38,000 --> 00:48:41,640 Speaker 2: depending on how it's sort of presented. But Joe, you 988 00:48:41,640 --> 00:48:44,200 Speaker 2: should come visit my place in Connecticut. I've got I've 989 00:48:44,560 --> 00:48:45,120 Speaker 2: invited me. 990 00:48:45,680 --> 00:48:46,799 Speaker 3: You probably have I have. 991 00:48:47,080 --> 00:48:50,040 Speaker 2: It's just hard to get out there. I've got fruit trees, okay, 992 00:48:50,120 --> 00:48:53,799 Speaker 2: I've got raspberries great. I've got strawberries which we'll be 993 00:48:53,840 --> 00:48:57,120 Speaker 2: ready in June. And uh, I'm planning blueberries right now. 994 00:48:57,640 --> 00:48:59,400 Speaker 3: Bring some in and I'll give it so I can 995 00:48:59,440 --> 00:49:01,040 Speaker 3: give them to my kids and save some money. 996 00:49:01,040 --> 00:49:03,000 Speaker 2: I brought you tomatoes last year, but I'll bring us 997 00:49:03,040 --> 00:49:05,560 Speaker 2: stropperlicious here. All right? Shall we leave it there? 998 00:49:05,640 --> 00:49:06,440 Speaker 4: Let's leave it there. 999 00:49:06,680 --> 00:49:09,719 Speaker 2: This has been another episode of the Odlots podcast. I'm 1000 00:49:09,719 --> 00:49:12,760 Speaker 2: Tracy Alloway. You can follow me at Tracy Alloway. 1001 00:49:12,480 --> 00:49:15,120 Speaker 3: And I'm Jill Wisenthal. You can follow me at the Stalwart. 1002 00:49:15,440 --> 00:49:19,200 Speaker 3: Follow our guest Austin Ferrik. He's at Austin Frerek. Follow 1003 00:49:19,239 --> 00:49:22,560 Speaker 3: our producers Carmen Rodriguez at Carman Arman dash El Bennett 1004 00:49:22,600 --> 00:49:25,680 Speaker 3: at Dashbot and Kelbrooks at Kelbrooks. Thank you to our 1005 00:49:25,719 --> 00:49:29,160 Speaker 3: producer Moses Ondem. For more Oddlogs content, go to Bloomberg 1006 00:49:29,200 --> 00:49:31,920 Speaker 3: dot com slash odlots where we have transcripts of blog 1007 00:49:31,960 --> 00:49:34,319 Speaker 3: and a newsletter and you can chat about all of 1008 00:49:34,360 --> 00:49:36,920 Speaker 3: these topics in the discord twenty four to seven with 1009 00:49:37,000 --> 00:49:40,880 Speaker 3: fellow listeners Discord dot gg slash od loots. 1010 00:49:41,760 --> 00:49:44,279 Speaker 2: And if you enjoy odlots, if you like it when 1011 00:49:44,320 --> 00:49:47,520 Speaker 2: we do deep dives into agriculture, then please leave us 1012 00:49:47,560 --> 00:49:51,120 Speaker 2: a positive review on your favorite platform. And remember, if 1013 00:49:51,120 --> 00:49:53,719 Speaker 2: you are a Bloomberg subscriber, you can listen to all 1014 00:49:53,760 --> 00:49:56,800 Speaker 2: of our episodes absolutely ad free. All you need to 1015 00:49:56,840 --> 00:49:59,880 Speaker 2: do is connect to your Bloomberg account with Apple Podcasts. 1016 00:50:00,239 --> 00:50:01,040 Speaker 2: Thanks for listening.