1 00:00:00,240 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,800 --> 00:00:09,119 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,240 --> 00:00:25,799 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,920 --> 00:00:28,680 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,720 --> 00:00:32,080 Speaker 1: me Ben. We're joined as always with our super producer Paul, 7 00:00:32,159 --> 00:00:36,600 Speaker 1: Mission controlled decond. Most importantly, you are you. You are here, 8 00:00:36,720 --> 00:00:40,239 Speaker 1: and that makes this the stuff they don't want you 9 00:00:40,400 --> 00:00:45,040 Speaker 1: to know. Uh, this is our This episode reminds me 10 00:00:45,200 --> 00:00:47,800 Speaker 1: of the original Iron Chef. Do you guys remember the 11 00:00:47,800 --> 00:00:53,680 Speaker 1: original Iron Chef? Yes, yes, which is literally translates to 12 00:00:53,880 --> 00:00:59,080 Speaker 1: go kitchen uh uh. Every time the every every time 13 00:00:59,080 --> 00:01:03,959 Speaker 1: the chairman had a it was introducing a theme ingredient. 14 00:01:04,280 --> 00:01:08,679 Speaker 1: The chairman would have this, um, this weird kind of 15 00:01:08,880 --> 00:01:11,759 Speaker 1: vague speech about it, which we're gonna skip because we're 16 00:01:11,800 --> 00:01:15,920 Speaker 1: not Iron Chef, and then the host would host would 17 00:01:15,959 --> 00:01:19,680 Speaker 1: come in like the voiceover guy and extol the virtues 18 00:01:19,720 --> 00:01:23,440 Speaker 1: of whatever this was, whether it was you know, avocados, eels, 19 00:01:23,680 --> 00:01:26,240 Speaker 1: or in this case eggs. So just to do that 20 00:01:26,280 --> 00:01:30,160 Speaker 1: really quickly, Oh the humble egg. Look upon its simplicity, 21 00:01:30,360 --> 00:01:34,119 Speaker 1: you'll discover brilliance. The shape evolved to withstand me read 22 00:01:34,200 --> 00:01:38,280 Speaker 1: precious the material inside a culinary helen of Troy, a 23 00:01:38,400 --> 00:01:41,679 Speaker 1: yoke that launched a thousand dishes, you know, And it 24 00:01:41,720 --> 00:01:44,240 Speaker 1: goes on and on. I'm keeping it short because I 25 00:01:44,360 --> 00:01:45,880 Speaker 1: know I want to make sure I don't bore you out. 26 00:01:47,760 --> 00:01:50,040 Speaker 1: I mean, but eggs, right, we don't think about that. 27 00:01:50,120 --> 00:01:52,080 Speaker 1: We've talked about them in the past. We talked about 28 00:01:52,120 --> 00:01:55,880 Speaker 1: him on a previous a couple of previous segments. Um, 29 00:01:56,160 --> 00:01:59,680 Speaker 1: and I think we're we're not all on the same 30 00:01:59,720 --> 00:02:02,640 Speaker 1: page about eggs, right, or in the same nest about them. 31 00:02:02,680 --> 00:02:05,160 Speaker 1: Like some of us love them, some of us take 32 00:02:05,240 --> 00:02:07,920 Speaker 1: them or leave them. But they're they're fun to cook 33 00:02:07,960 --> 00:02:11,480 Speaker 1: at least, right, and you can do them hundreds of ways. Yeah, 34 00:02:11,560 --> 00:02:15,000 Speaker 1: just saw on Instagram video on how you can cure 35 00:02:15,160 --> 00:02:19,200 Speaker 1: egg yolks in hot sauce, and then you get this 36 00:02:19,320 --> 00:02:23,280 Speaker 1: like hot sauce jammy kind of solidified egg yolk you 37 00:02:23,320 --> 00:02:26,760 Speaker 1: can spread on toast, which to some people would sound disgusting, 38 00:02:26,800 --> 00:02:29,400 Speaker 1: but I was intrigued. That sounds pretty gross to me. 39 00:02:30,040 --> 00:02:32,120 Speaker 1: I would try, you know what I mean. But I tried, 40 00:02:32,200 --> 00:02:36,080 Speaker 1: Like the kool Aid pickles, too, So my bar is 41 00:02:36,480 --> 00:02:38,520 Speaker 1: very low for what alterna away. Yeah, I think to 42 00:02:38,600 --> 00:02:43,000 Speaker 1: some people just any level of undercooked egg is a 43 00:02:43,040 --> 00:02:46,079 Speaker 1: red flag. And I mean there's good precedent for that. 44 00:02:46,440 --> 00:02:49,200 Speaker 1: You know, we always heard of salmonella, but yet somehow 45 00:02:49,280 --> 00:02:52,040 Speaker 1: we've kind of gotten past that where undercooked eggs are 46 00:02:52,080 --> 00:02:56,080 Speaker 1: like okay or are they well? Also depends on people. 47 00:02:56,160 --> 00:02:58,440 Speaker 1: People would say it depends on the quality of the egg. 48 00:02:58,840 --> 00:03:02,359 Speaker 1: The way of which was weird. And you know, we're 49 00:03:02,400 --> 00:03:05,680 Speaker 1: gonna we're gonna touch on a lot of things that 50 00:03:05,720 --> 00:03:08,400 Speaker 1: are going to be very familiar to people who raise 51 00:03:08,480 --> 00:03:12,040 Speaker 1: their own eggs or work in uh that particular aspect 52 00:03:12,080 --> 00:03:15,760 Speaker 1: of factory farming, but may not be common knowledge to 53 00:03:16,200 --> 00:03:19,240 Speaker 1: the average person. Right, Like this is weird. It could 54 00:03:19,320 --> 00:03:21,839 Speaker 1: Eggs can be an ingredient, they could be a side dish, 55 00:03:21,840 --> 00:03:23,720 Speaker 1: they could be a main dish. Like you pointed out, 56 00:03:23,760 --> 00:03:28,119 Speaker 1: you can do all sorts of interesting things with them, 57 00:03:28,120 --> 00:03:31,280 Speaker 1: even if they're not tasty things. Uh. And now it 58 00:03:31,280 --> 00:03:33,960 Speaker 1: shouldn't surprise us that eggs have become the source of 59 00:03:34,000 --> 00:03:37,520 Speaker 1: not one, but several conspiracy theories. We're not talking about 60 00:03:37,600 --> 00:03:42,280 Speaker 1: d egg distinction. Uh, We're not talking like bringing bringing 61 00:03:42,320 --> 00:03:45,760 Speaker 1: back you know, dodo eggs. We're not talking about factory farming, 62 00:03:45,760 --> 00:03:48,640 Speaker 1: which is very real and horrific thing. We're talking about 63 00:03:48,720 --> 00:03:51,120 Speaker 1: different theory. It's something that a lot of our fellow 64 00:03:51,160 --> 00:03:54,520 Speaker 1: conspiracy realists have asked us and reached out to us 65 00:03:54,600 --> 00:03:59,760 Speaker 1: about recently. Wire eggs. So it's suddenly so expensive, Sorry 66 00:03:59,760 --> 00:04:02,520 Speaker 1: for the pot to get better. What's at the heart 67 00:04:02,560 --> 00:04:06,680 Speaker 1: of the great egg expiracy? Etcetera, etcetera, and so forth. 68 00:04:07,720 --> 00:04:12,720 Speaker 1: Here are the facts. Yes, you have likely heard about this. 69 00:04:13,480 --> 00:04:17,800 Speaker 1: It's being reported everywhere. There's something wrong with the chickens 70 00:04:17,960 --> 00:04:20,960 Speaker 1: or there's something wrong with the egg. Which one came first? 71 00:04:21,080 --> 00:04:26,440 Speaker 1: It's the immortal question. It's true. Um, that's because eggs 72 00:04:26,480 --> 00:04:30,000 Speaker 1: are in everything or a lot of things, you know, 73 00:04:30,040 --> 00:04:32,840 Speaker 1: as like a binding agent. You know, they're in cakes 74 00:04:32,920 --> 00:04:35,279 Speaker 1: to help kind of you know, solidify the mixture and 75 00:04:35,320 --> 00:04:37,560 Speaker 1: all of that stuff and help it rise and all 76 00:04:37,600 --> 00:04:40,680 Speaker 1: of that. They're absolutely ubiquitous. Just about everyone has at 77 00:04:40,760 --> 00:04:44,920 Speaker 1: least at some point in their life tried an egg. Um, 78 00:04:45,080 --> 00:04:48,279 Speaker 1: so we all pretty much know what we're talking about here. 79 00:04:48,320 --> 00:04:53,280 Speaker 1: Culinarily speaking, Yeah, we don't need to spend time explaining 80 00:04:53,360 --> 00:04:55,840 Speaker 1: what eggs are. But if you you got this far 81 00:04:55,880 --> 00:04:58,400 Speaker 1: in your life to where you you listen to a 82 00:04:58,440 --> 00:05:01,039 Speaker 1: show like this and you've never heard the idea of 83 00:05:01,080 --> 00:05:05,720 Speaker 1: an egg honestly, congratulations. I don't know how you mini 84 00:05:05,720 --> 00:05:09,320 Speaker 1: max your stats into that one, but that's amazing. Uh. 85 00:05:09,600 --> 00:05:14,640 Speaker 1: Like like you said, no, eggs are ubiquitous most people, 86 00:05:15,240 --> 00:05:20,360 Speaker 1: probably even before they make a conscious dietary decision like 87 00:05:20,440 --> 00:05:22,920 Speaker 1: I will be vegan or I will you know, uh 88 00:05:23,040 --> 00:05:27,080 Speaker 1: not consume eggs somehow. You probably ate one in childhood 89 00:05:27,120 --> 00:05:30,720 Speaker 1: or it was definitely an ingredient. And egg prices are 90 00:05:30,760 --> 00:05:35,680 Speaker 1: getting Paul, we might need some womp bumps on this eggstreme. Uh, 91 00:05:35,680 --> 00:05:40,560 Speaker 1: it's so weird. For about forty years in the United States, 92 00:05:40,640 --> 00:05:45,239 Speaker 1: egg prices have been relatively stable. That meant that supply 93 00:05:45,520 --> 00:05:48,520 Speaker 1: and demand had kind of been in sync, just like 94 00:05:48,560 --> 00:05:53,120 Speaker 1: a boy band. And they were also um, one of 95 00:05:53,160 --> 00:05:57,720 Speaker 1: the most reliably cheap foods or inexpensive things you could 96 00:05:57,760 --> 00:06:00,440 Speaker 1: buy at the grocery store. You have a emily, you 97 00:06:00,480 --> 00:06:04,520 Speaker 1: need protein, but you can't afford um. You know, you 98 00:06:04,560 --> 00:06:09,000 Speaker 1: can't afford like meat, beef or chicken or whatever. You 99 00:06:09,000 --> 00:06:11,360 Speaker 1: can't buy the chicken, but you can probably swing the 100 00:06:11,400 --> 00:06:14,160 Speaker 1: cost of of the eggs if you don't want to 101 00:06:14,200 --> 00:06:19,480 Speaker 1: eat beans. Another, and and over over the history, even 102 00:06:19,520 --> 00:06:22,839 Speaker 1: since we've been alive, we've seen egg prices fluctuate a 103 00:06:22,880 --> 00:06:26,719 Speaker 1: couple of times, but usually it's something within the the larger, 104 00:06:26,960 --> 00:06:29,800 Speaker 1: bigger picture of the environment that affects the price of 105 00:06:29,800 --> 00:06:33,440 Speaker 1: the eggs, Like when there's a large Avian flu outbreak 106 00:06:33,640 --> 00:06:37,200 Speaker 1: where you know, hundreds of thousands, if not millions, of 107 00:06:37,279 --> 00:06:40,760 Speaker 1: chickens are affected and have to be either killed, you know, 108 00:06:40,800 --> 00:06:44,240 Speaker 1: by these larger factory farms that provide so many of 109 00:06:44,320 --> 00:06:47,159 Speaker 1: the eggs that we that we consume across the world, 110 00:06:47,240 --> 00:06:50,560 Speaker 1: especially in the United States. Um or if there's some 111 00:06:50,640 --> 00:06:54,600 Speaker 1: other environmental factor affecting probably the chickens and not so 112 00:06:54,680 --> 00:06:57,839 Speaker 1: much the eggs, because and that could be something like 113 00:06:57,920 --> 00:07:01,760 Speaker 1: avian flu, right, yeah, I mean, and the eggs certainly 114 00:07:01,800 --> 00:07:05,640 Speaker 1: got its own picture on the old food pyramid. Um 115 00:07:06,040 --> 00:07:09,120 Speaker 1: it is. It has definitely been considered since as we know, 116 00:07:09,160 --> 00:07:11,440 Speaker 1: the impetus for that whole food pyramid thing came from 117 00:07:11,520 --> 00:07:14,320 Speaker 1: kind of economic hardship and the idea of what is 118 00:07:14,360 --> 00:07:17,360 Speaker 1: the most affordable food. So eggs have long been a 119 00:07:17,360 --> 00:07:21,640 Speaker 1: staple food because of their relative affordability. Like you said, Matt, 120 00:07:22,040 --> 00:07:25,960 Speaker 1: M m yeah, and this this also comes with a 121 00:07:26,080 --> 00:07:31,240 Speaker 1: high nutritional value right now. Sometimes, especially in the United States, 122 00:07:31,560 --> 00:07:34,440 Speaker 1: it can be tough to get past the spin of 123 00:07:34,520 --> 00:07:39,640 Speaker 1: different trade groups where when when we're talking about how 124 00:07:39,720 --> 00:07:43,920 Speaker 1: good or bad and actual food stuff is for you, Like, 125 00:07:43,960 --> 00:07:46,920 Speaker 1: it might sound weird if you're not from the US, 126 00:07:47,080 --> 00:07:50,320 Speaker 1: but here in the United States you will you will 127 00:07:50,360 --> 00:07:53,880 Speaker 1: see commercials that are not for a specific brand of anything. 128 00:07:54,160 --> 00:07:59,120 Speaker 1: There for the idea of something like just milk. You know, 129 00:07:59,280 --> 00:08:02,520 Speaker 1: someone's just like, hey, you got milk, and that was 130 00:08:02,560 --> 00:08:05,840 Speaker 1: a whole thing and it was just celebrities with milk mustaches. 131 00:08:06,200 --> 00:08:11,000 Speaker 1: No one questioned it. Remember the eggs song that eggs 132 00:08:11,040 --> 00:08:16,080 Speaker 1: from my head down to my legs, scrambled off fried 133 00:08:16,160 --> 00:08:19,360 Speaker 1: with some bacon on the side. I love eggs. That 134 00:08:19,440 --> 00:08:23,120 Speaker 1: was the thing. I don't know what to do with that. 135 00:08:23,280 --> 00:08:26,880 Speaker 1: All sad it it's gramed, it's salad and scrambled eggs 136 00:08:26,880 --> 00:08:29,760 Speaker 1: at the same time. That's weird. The reason that theme 137 00:08:29,840 --> 00:08:34,160 Speaker 1: song is toss, salad and scrambled eggs is because, um, 138 00:08:34,200 --> 00:08:38,280 Speaker 1: I think the producers or the legal department would not 139 00:08:38,440 --> 00:08:42,800 Speaker 1: allow the theme song to be about mental health. But still, 140 00:08:43,280 --> 00:08:45,679 Speaker 1: I mean, only people with mental health problems eat sauce, 141 00:08:45,679 --> 00:08:51,880 Speaker 1: salad and scrambled eggs. That's I just remember the other 142 00:08:52,000 --> 00:08:58,120 Speaker 1: white meat that was pork. Yeah, yeah, it's so it's 143 00:08:58,360 --> 00:09:00,800 Speaker 1: to me, it's so funny. I love the idea, Like, 144 00:09:00,880 --> 00:09:05,760 Speaker 1: that's such a the also random meats, right, that's such 145 00:09:05,800 --> 00:09:09,200 Speaker 1: a whimsical billionaire thing to do to say, I'm going 146 00:09:09,240 --> 00:09:11,160 Speaker 1: to take out a ton of It's actually on my 147 00:09:11,240 --> 00:09:13,840 Speaker 1: list of things to do as a weird billionaire is 148 00:09:13,880 --> 00:09:16,960 Speaker 1: to take out a ton of ads for something that 149 00:09:17,040 --> 00:09:22,240 Speaker 1: doesn't specifically sell anything. It's just the idea, you know 150 00:09:22,280 --> 00:09:25,640 Speaker 1: what I mean, Like have the Goodyear blimp flying over 151 00:09:26,040 --> 00:09:28,560 Speaker 1: a stadium and the trailer thing at the end of 152 00:09:28,559 --> 00:09:32,520 Speaker 1: it just says, tacos are okay three out of five. 153 00:09:32,880 --> 00:09:38,320 Speaker 1: You know what I mean is forever we go, We'll 154 00:09:38,360 --> 00:09:42,040 Speaker 1: take oh diamonds, check out our diamond episode. Yeah this 155 00:09:42,320 --> 00:09:46,559 Speaker 1: um okay. I think all of us love food episodes. 156 00:09:46,720 --> 00:09:50,880 Speaker 1: And you know, whether you love eggs or whether you 157 00:09:51,520 --> 00:09:54,439 Speaker 1: don't eat them due to like health concerns or due 158 00:09:54,480 --> 00:09:59,480 Speaker 1: to um moral concerns, or whether you're like I am. 159 00:09:59,520 --> 00:10:03,800 Speaker 1: You know the uh and the epitome of the of 160 00:10:03,880 --> 00:10:07,960 Speaker 1: the egg eating human. You know that they do have 161 00:10:08,080 --> 00:10:10,880 Speaker 1: some advantages, and they've been around for a long time. 162 00:10:11,040 --> 00:10:13,839 Speaker 1: They've got nutritional advantages, a lot of bang fear buck 163 00:10:14,400 --> 00:10:18,600 Speaker 1: energy wise, and they have This has been the case 164 00:10:18,679 --> 00:10:22,760 Speaker 1: for so long, decades and decades and decades that eggs 165 00:10:22,760 --> 00:10:27,080 Speaker 1: would become a key part of cocktail economics, right, dinner 166 00:10:27,160 --> 00:10:31,240 Speaker 1: table economics, they we'll call it. When you hear economists 167 00:10:31,280 --> 00:10:34,120 Speaker 1: talking about stuff like the price of a loaf of 168 00:10:34,200 --> 00:10:36,960 Speaker 1: bread and you know, a jug of milk and a 169 00:10:37,040 --> 00:10:41,560 Speaker 1: dozen eggs, they're usually again here in the States, they're 170 00:10:41,640 --> 00:10:45,480 Speaker 1: usually quoting the Bureau of Labor Statistics, which talks about 171 00:10:45,520 --> 00:10:49,960 Speaker 1: something called the consumer Price Index or cp I, which 172 00:10:50,040 --> 00:10:53,400 Speaker 1: is a good measure of inflation, or one of the 173 00:10:53,440 --> 00:10:58,040 Speaker 1: most at least understandable and bandied about measures of inflation. 174 00:10:58,880 --> 00:11:01,040 Speaker 1: It's really interest interest thing to me. The c p 175 00:11:01,240 --> 00:11:03,480 Speaker 1: I is basically, what do you need to bake a 176 00:11:03,520 --> 00:11:06,600 Speaker 1: simple cake? Yeah? And what are the prices of all 177 00:11:06,640 --> 00:11:10,160 Speaker 1: those things? It's weird to think about it. That's just 178 00:11:10,200 --> 00:11:12,960 Speaker 1: the way I see it in my head. Uh, But yeah, 179 00:11:12,960 --> 00:11:15,160 Speaker 1: the CPI is something we could go super deep into 180 00:11:15,200 --> 00:11:17,000 Speaker 1: if we wanted to. Guys, we want to do that 181 00:11:17,040 --> 00:11:20,560 Speaker 1: today might be another bag of badgers. Honestly, yeah, it 182 00:11:20,640 --> 00:11:24,360 Speaker 1: feels okay, okay, how is the price of badgers faring 183 00:11:24,400 --> 00:11:28,360 Speaker 1: these days? If that may be so bold, there's solid 184 00:11:28,440 --> 00:11:31,600 Speaker 1: investment there there there. You know zoologists, you're calling them 185 00:11:31,640 --> 00:11:37,160 Speaker 1: the first crypto nice crypto zoologists. Yeah, you got it, 186 00:11:37,480 --> 00:11:40,600 Speaker 1: you got it. All right, Well, let's let's talk. Let's really, 187 00:11:40,640 --> 00:11:42,960 Speaker 1: let's talk about how much it costs to buy some 188 00:11:43,000 --> 00:11:45,760 Speaker 1: eggs right now, because I joked a while ago. I 189 00:11:45,800 --> 00:11:48,160 Speaker 1: can't remember the name of the episode, but I joked 190 00:11:48,200 --> 00:11:51,040 Speaker 1: about how the price of eggs were just fine, everything's 191 00:11:51,040 --> 00:11:52,800 Speaker 1: fine with the price of eggs, and it was, like, 192 00:11:53,360 --> 00:11:56,520 Speaker 1: I want to say, end of last year. Yeah, yeah, 193 00:11:56,559 --> 00:12:02,200 Speaker 1: I remember that. Whoops, I mean how much egg cost 194 00:12:02,280 --> 00:12:10,200 Speaker 1: a hundred dollars tinted egg? Michael uh so in yeah, 195 00:12:10,360 --> 00:12:16,800 Speaker 1: in the price of a dozen eggs. Let's step back 196 00:12:16,840 --> 00:12:19,360 Speaker 1: for a second. First, you need to know that things 197 00:12:19,360 --> 00:12:22,320 Speaker 1: are different from how they were in the nineteen eighties. 198 00:12:22,800 --> 00:12:27,040 Speaker 1: In the egg world, not all eggs are created equal, 199 00:12:27,480 --> 00:12:30,800 Speaker 1: you know what I mean? Like, you can now if 200 00:12:30,840 --> 00:12:33,040 Speaker 1: you have the gumption and the means, you could buy 201 00:12:33,080 --> 00:12:36,320 Speaker 1: an ostrich egg, which is a very weird flex but 202 00:12:36,360 --> 00:12:40,160 Speaker 1: you know, you do you uh you can. You can 203 00:12:40,200 --> 00:12:44,680 Speaker 1: also see all kinds of organic or um free range 204 00:12:44,760 --> 00:12:49,480 Speaker 1: or pasture raised eggs. It's very very different stuff. Eggs 205 00:12:49,480 --> 00:12:52,920 Speaker 1: that you don't have to refrigerate because they still have 206 00:12:53,000 --> 00:12:55,760 Speaker 1: their they're covering their casing on. Yeah, I mean the 207 00:12:55,800 --> 00:12:58,600 Speaker 1: eggs that you get farm fresh you don't have to 208 00:12:58,640 --> 00:13:01,880 Speaker 1: refrigerate like like that. Actually have my house a nice 209 00:13:01,920 --> 00:13:06,160 Speaker 1: little like um, what's it called ceramic egg holder, and 210 00:13:06,360 --> 00:13:09,560 Speaker 1: my my partner gets fresh eggs from from a friend 211 00:13:09,760 --> 00:13:11,240 Speaker 1: and we will just leave them out. And that's a 212 00:13:11,320 --> 00:13:13,280 Speaker 1: thing that used to see that a lot more in 213 00:13:13,320 --> 00:13:15,880 Speaker 1: the olden days. You know, people leaving like butter out 214 00:13:15,920 --> 00:13:19,360 Speaker 1: on the counter and also you know eggs, and so 215 00:13:19,800 --> 00:13:22,280 Speaker 1: we're gonna get to I think we're gonna get to 216 00:13:22,360 --> 00:13:27,360 Speaker 1: some of the eggs eistential differences between different types of eggs. 217 00:13:27,400 --> 00:13:29,640 Speaker 1: I'm telling you it doesn't get better, Paul, You're gonna 218 00:13:29,679 --> 00:13:32,439 Speaker 1: have to. You might have uh worn off the keys 219 00:13:32,480 --> 00:13:37,080 Speaker 1: on the wamp womp button here, but in in we 220 00:13:37,240 --> 00:13:42,400 Speaker 1: know that if you were buying a dozen large Grade 221 00:13:42,600 --> 00:13:46,520 Speaker 1: A eggs as rated by the U S D A H, 222 00:13:46,679 --> 00:13:49,960 Speaker 1: then in most cities that would that would run you 223 00:13:50,000 --> 00:13:53,320 Speaker 1: about eighty four cents. Can I ask you, Ben, what 224 00:13:53,400 --> 00:13:56,160 Speaker 1: where do all the Grade B, C and D eggs go? 225 00:13:56,760 --> 00:13:59,000 Speaker 1: Did those go down the bad egg shoot? Like I 226 00:13:59,120 --> 00:14:02,960 Speaker 1: really wanting? But I mean, you know, the implication is 227 00:14:03,000 --> 00:14:05,680 Speaker 1: that there are other grades of eggs, and are those 228 00:14:05,800 --> 00:14:09,480 Speaker 1: perhaps used as ingredients and not sold on their own 229 00:14:10,000 --> 00:14:12,760 Speaker 1: like in pre made stuff. Is this something we should investigate? 230 00:14:12,800 --> 00:14:16,160 Speaker 1: I want to know where all the sub A eggs 231 00:14:16,320 --> 00:14:21,080 Speaker 1: end up. I think they go into UM kind of 232 00:14:21,160 --> 00:14:27,600 Speaker 1: secondary products, so like egg liquids maybe, or dried egg products, 233 00:14:27,600 --> 00:14:30,840 Speaker 1: so they go to astronauts. Sorry astronauts, you've got the 234 00:14:30,840 --> 00:14:34,120 Speaker 1: crappy freeze dried eggs, but thanks for being one of 235 00:14:34,160 --> 00:14:39,360 Speaker 1: the best parts of humanity. I think they're also the 236 00:14:39,760 --> 00:14:43,320 Speaker 1: um U s d A has a way of rating 237 00:14:43,800 --> 00:14:47,160 Speaker 1: eggs similar to Willy Wonka, where you know they got 238 00:14:47,200 --> 00:14:50,840 Speaker 1: most of their ideas from UM. But yeah, I think 239 00:14:50,840 --> 00:14:53,480 Speaker 1: they go. I think it's rare that you would find 240 00:14:53,520 --> 00:14:56,480 Speaker 1: like a dozen Grade B eggs, and it's really good 241 00:14:56,520 --> 00:14:59,240 Speaker 1: marketing to walk into a store and say, well, I 242 00:14:59,360 --> 00:15:02,440 Speaker 1: buy Grade A in your spot on. Then they do 243 00:15:02,520 --> 00:15:05,360 Speaker 1: go into liquid eggs, which is referred to as breaking 244 00:15:05,520 --> 00:15:10,160 Speaker 1: stock and also for baking pre made baking mixes and 245 00:15:10,440 --> 00:15:13,560 Speaker 1: stuff like that, or more assembly line baking kind of 246 00:15:13,600 --> 00:15:17,560 Speaker 1: situations like pre made cakes and cookies and stuff like that. 247 00:15:17,720 --> 00:15:20,480 Speaker 1: So they're not like bad. They just have thinner whites 248 00:15:20,960 --> 00:15:24,680 Speaker 1: and less symmetrical yolks. But they're not there's nothing wrong 249 00:15:24,760 --> 00:15:27,280 Speaker 1: with them, they just aren't as pretty. What kind of 250 00:15:27,320 --> 00:15:31,400 Speaker 1: stop body shaving eggs did not approve? I also just 251 00:15:31,400 --> 00:15:33,600 Speaker 1: want to add, but even speaking of all the varieties 252 00:15:33,600 --> 00:15:36,560 Speaker 1: of eggs, you even in some regular grocery stores you 253 00:15:36,600 --> 00:15:40,000 Speaker 1: can buy like quail eggs or duck eggs. They are 254 00:15:40,240 --> 00:15:44,040 Speaker 1: really yummy and interesting, you know, for things like tartars 255 00:15:44,040 --> 00:15:46,400 Speaker 1: and stuff like that. But you are seeing them more often, 256 00:15:46,520 --> 00:15:50,280 Speaker 1: not just in specialty stores. I found that kind of interesting. Yeah. Again, 257 00:15:50,400 --> 00:15:53,040 Speaker 1: it's it's a different world from the eighties, right uh. 258 00:15:53,120 --> 00:15:58,040 Speaker 1: And if you fast forward to two thousand, you'll see 259 00:15:58,080 --> 00:16:04,640 Speaker 1: the exact same garden variety dozen grade eight eggs now 260 00:16:04,800 --> 00:16:10,240 Speaker 1: cost one cents, so they've gone up seven cents, and 261 00:16:10,760 --> 00:16:15,360 Speaker 1: you know, for a lot of people, especially in three 262 00:16:15,840 --> 00:16:19,360 Speaker 1: you would say seven cents. When's the last time I 263 00:16:19,480 --> 00:16:22,360 Speaker 1: had I even like held a nickel in two pennies 264 00:16:22,880 --> 00:16:25,560 Speaker 1: in my hand? Why do we even still make pennies, 265 00:16:25,960 --> 00:16:29,240 Speaker 1: you know, which is a great question. Uh, so that 266 00:16:29,400 --> 00:16:34,120 Speaker 1: businessmen can use them for power moves on there. That's 267 00:16:34,120 --> 00:16:36,720 Speaker 1: finely as pennies. But but let's talk about that. So 268 00:16:36,760 --> 00:16:40,360 Speaker 1: we're talking about the the average price from nineteen eighty 269 00:16:40,480 --> 00:16:43,920 Speaker 1: to two right, And that doesn't mean that that was 270 00:16:43,960 --> 00:16:46,200 Speaker 1: just the price the whole time and it just rose 271 00:16:46,360 --> 00:16:51,160 Speaker 1: a little bit to get up to that number. The 272 00:16:51,200 --> 00:16:53,600 Speaker 1: price fluctuated, right, and you just imagine it like a 273 00:16:53,600 --> 00:16:55,720 Speaker 1: little wave that's going along the price of eggs, just 274 00:16:55,720 --> 00:16:58,160 Speaker 1: depending on what's going on. So the price of eggs 275 00:16:58,160 --> 00:17:01,280 Speaker 1: between nineteen eighty and two thousand hit a high of 276 00:17:01,440 --> 00:17:04,440 Speaker 1: one dollar thirty two cents and a low of sixty 277 00:17:04,480 --> 00:17:08,200 Speaker 1: eight cents. So that's that whole supply demand thing kind 278 00:17:08,200 --> 00:17:12,399 Speaker 1: of giving, pushing and uh, moving around a bit until 279 00:17:12,520 --> 00:17:16,760 Speaker 1: you end up with that average of cents. Yeah. Yeah, 280 00:17:16,840 --> 00:17:21,320 Speaker 1: so there would so there were similar conversations, to be clear, 281 00:17:21,800 --> 00:17:26,440 Speaker 1: between night and two thousand, Like in that twenty year 282 00:17:26,720 --> 00:17:31,360 Speaker 1: inter interval, there were conversations where people were being if 283 00:17:31,400 --> 00:17:34,959 Speaker 1: you'll pardon me a little bit chicken little about the 284 00:17:35,000 --> 00:17:37,760 Speaker 1: price of eggs, and they would hit, you know, this 285 00:17:37,920 --> 00:17:40,600 Speaker 1: high of a dollar thirty two and people would say, 286 00:17:40,640 --> 00:17:42,760 Speaker 1: what does this mean? You know what I mean, the 287 00:17:42,920 --> 00:17:47,040 Speaker 1: end is nigh. Let's look at another like, you have 288 00:17:47,080 --> 00:17:49,720 Speaker 1: to take the long view with this. So two thousand, 289 00:17:51,359 --> 00:17:55,520 Speaker 1: the price of those eggs again, not the fancy eggs, 290 00:17:56,000 --> 00:17:58,600 Speaker 1: not not the fancy eggs with the nice drawings on 291 00:17:58,640 --> 00:18:02,800 Speaker 1: the on the packaging and all that, all that white 292 00:18:03,680 --> 00:18:10,160 Speaker 1: eggs right with with the like styrene containers that are 293 00:18:10,359 --> 00:18:17,160 Speaker 1: going to outlive civilization. Yes, so like yeah, I love 294 00:18:17,200 --> 00:18:22,600 Speaker 1: thinking about that. So um, those eggs continue to increase 295 00:18:23,320 --> 00:18:27,480 Speaker 1: in price, and over time steadily we're looking at a rise, 296 00:18:27,760 --> 00:18:30,440 Speaker 1: not just sort of a you know, like an up 297 00:18:30,440 --> 00:18:34,040 Speaker 1: and down graph like a heartbeat. Uh. They go from 298 00:18:34,840 --> 00:18:39,280 Speaker 1: cents in two thousand to two dollars and nineties seven 299 00:18:39,320 --> 00:18:46,120 Speaker 1: cents in September. Unt your earlier point, Matt. That's when 300 00:18:46,160 --> 00:18:51,960 Speaker 1: another variable intervened. Avian flew a bird flew outbreak right, 301 00:18:52,560 --> 00:18:56,200 Speaker 1: oh man. No, no one knew how COVID nineteen would 302 00:18:56,240 --> 00:19:02,520 Speaker 1: impact the world comparatively a much less substantial flu. But 303 00:19:02,640 --> 00:19:05,720 Speaker 1: not to diminish that people died from Avian flu. You know, 304 00:19:05,840 --> 00:19:10,000 Speaker 1: there were definitely fatalities and also it certainly put a 305 00:19:10,080 --> 00:19:12,800 Speaker 1: hitch in in some economics as well with this sole 306 00:19:12,800 --> 00:19:16,199 Speaker 1: egg situation. And you may remember that outbreak I believe, 307 00:19:16,359 --> 00:19:20,760 Speaker 1: is it H five N two talked about. I can't 308 00:19:20,760 --> 00:19:24,560 Speaker 1: remember if that was the outbreak. It's a deep cut yeah, 309 00:19:24,920 --> 00:19:29,800 Speaker 1: H five into Uh. This was found throughout the Midwest 310 00:19:29,920 --> 00:19:37,280 Speaker 1: US in UM chicken and turkey farms. Wow, meadows really 311 00:19:37,280 --> 00:19:45,600 Speaker 1: excited about that. Okay, no leave it in UM. But 312 00:19:45,600 --> 00:19:48,320 Speaker 1: but we're gonna get into it today. Because avian flues 313 00:19:48,680 --> 00:19:53,919 Speaker 1: are very common, unfortunately common. There are outbreaks, not on 314 00:19:53,960 --> 00:19:57,960 Speaker 1: a yearly basis necessarily, but I don't know. I can't 315 00:19:57,960 --> 00:19:59,960 Speaker 1: put a number to it because I wouldn't be accurate, 316 00:20:00,280 --> 00:20:02,320 Speaker 1: but I'd say on an average of like every five 317 00:20:02,400 --> 00:20:06,000 Speaker 1: years you hear about a major avian flu outbreak of 318 00:20:06,080 --> 00:20:11,080 Speaker 1: some sort. Yeah, And part of that goes into you know, uh, 319 00:20:11,080 --> 00:20:17,960 Speaker 1: factory farming practices, right, like the the the closeness, the 320 00:20:17,960 --> 00:20:22,520 Speaker 1: the constant over medication. I mean, the way creatures are 321 00:20:22,560 --> 00:20:26,120 Speaker 1: bread It's it's really gross. And don't they don't they 322 00:20:26,240 --> 00:20:31,560 Speaker 1: feed them with like crushed up egg shells as well? 323 00:20:31,680 --> 00:20:35,240 Speaker 1: It doesn't that go into the tap and that's bad, 324 00:20:35,480 --> 00:20:38,000 Speaker 1: I think in terms of long you know, long term 325 00:20:38,040 --> 00:20:41,840 Speaker 1: health effects you know, to the birds. Let's get these 326 00:20:41,880 --> 00:20:48,400 Speaker 1: birds prions. So prices remain stable then, but they're at 327 00:20:48,400 --> 00:20:52,120 Speaker 1: a new normal. The days of a d four cents 328 00:20:52,280 --> 00:20:56,359 Speaker 1: egg cartons are gone and prices are stable. But there's 329 00:20:56,520 --> 00:20:59,600 Speaker 1: another bird flu outbreak like you alluded to, Matt in 330 00:20:59,600 --> 00:21:04,080 Speaker 1: twenty eighteen. Uh, there's another peak in twenty twenty due 331 00:21:04,200 --> 00:21:08,480 Speaker 1: Judy COVID pandemic. But a few years ago everything seemed 332 00:21:08,640 --> 00:21:13,960 Speaker 1: to change. October, the average price of a dozen eggs 333 00:21:14,080 --> 00:21:20,600 Speaker 1: in US cities hit three dollars and forty two cents nationally, 334 00:21:21,080 --> 00:21:25,240 Speaker 1: and in some places people saw a dozen eggs cost 335 00:21:25,440 --> 00:21:28,919 Speaker 1: four dollars or more. So this is the kind of 336 00:21:28,960 --> 00:21:33,680 Speaker 1: thing that would even give Patrick Bateman from American Psycho 337 00:21:33,840 --> 00:21:36,760 Speaker 1: a pause. You know, he probably had someone go to 338 00:21:36,800 --> 00:21:40,560 Speaker 1: the grocery store, but even even he would have thought, 339 00:21:41,080 --> 00:21:44,520 Speaker 1: that's a lot. Yeah, I kind of imagine Patrick Bateman 340 00:21:44,560 --> 00:21:47,359 Speaker 1: maybe being in the same boat as a Lucille Blue, 341 00:21:47,520 --> 00:21:51,959 Speaker 1: maybe having zero idea how much anything costs outside of 342 00:21:51,960 --> 00:21:54,160 Speaker 1: like a roll Ac, you know, or a Rolls Royce. 343 00:21:54,280 --> 00:21:57,240 Speaker 1: But yeah, I mean it's a lot. But my mind 344 00:21:57,280 --> 00:22:02,200 Speaker 1: immediately does also say three bucks or something that's relatively 345 00:22:02,240 --> 00:22:05,480 Speaker 1: stable and lasts you quite a long time. Isn't like insane, 346 00:22:05,880 --> 00:22:08,879 Speaker 1: But maybe that's me speaking out of school. I don't know. 347 00:22:08,960 --> 00:22:11,480 Speaker 1: I mean, it really is more the sticker shock of 348 00:22:11,520 --> 00:22:15,119 Speaker 1: the rise, but not necessarily the actual number, because you know, 349 00:22:15,240 --> 00:22:17,800 Speaker 1: buy a dozen eggs, it'll last me easily a week, 350 00:22:18,359 --> 00:22:21,640 Speaker 1: if not more. I sometimes worry that I I will 351 00:22:21,720 --> 00:22:24,000 Speaker 1: have eggs in my fridge I have gone bad because 352 00:22:24,040 --> 00:22:26,880 Speaker 1: I don't use them enough. So I'll sometimes just by 353 00:22:26,920 --> 00:22:31,200 Speaker 1: half a dozen eggs. I do that too. I'm right 354 00:22:31,200 --> 00:22:35,560 Speaker 1: there with you, guys, because I don't personally uh I mean, 355 00:22:35,600 --> 00:22:39,840 Speaker 1: I'm I'll eat pretty much anything, but I don't personally 356 00:22:39,960 --> 00:22:42,240 Speaker 1: love eggs, which I think is why I'm good at 357 00:22:42,240 --> 00:22:47,080 Speaker 1: cooking them. I have sort of this dispassionate objectivity. Uh 358 00:22:47,160 --> 00:22:49,360 Speaker 1: So I'll do a Gordon Ramsey move with it. But 359 00:22:49,520 --> 00:22:52,160 Speaker 1: you can admire their versatility. Well that's a good yeah, 360 00:22:52,160 --> 00:22:54,479 Speaker 1: you know, it's a good way to check someone's culinary chops, 361 00:22:54,520 --> 00:22:56,800 Speaker 1: just to to get them to scramble some eggs or 362 00:22:56,840 --> 00:22:58,720 Speaker 1: make a quick omelet. And if they can't do that 363 00:22:58,760 --> 00:23:02,000 Speaker 1: and they overcook them or make them rubbery, then they're there. 364 00:23:03,080 --> 00:23:07,840 Speaker 1: There's chefs I've eaten some of the uh the best 365 00:23:07,880 --> 00:23:11,440 Speaker 1: eggs of my life quite recently. But you know how 366 00:23:11,440 --> 00:23:13,840 Speaker 1: it is, like, Okay, you go to a function and 367 00:23:13,840 --> 00:23:17,520 Speaker 1: and someone says, oh, and there's an omelet bar. That's 368 00:23:17,520 --> 00:23:21,120 Speaker 1: always a disappointment to me. It's like, really, I could 369 00:23:21,160 --> 00:23:23,560 Speaker 1: have eaten before I came, you know what I mean? Like, 370 00:23:23,600 --> 00:23:28,119 Speaker 1: what am I gonna do with this omelet at seven pm? Whatever? 371 00:23:28,160 --> 00:23:30,080 Speaker 1: I think? I think the omelet bar flex is just 372 00:23:30,160 --> 00:23:32,399 Speaker 1: that you have a human who's there to cater to 373 00:23:32,480 --> 00:23:36,439 Speaker 1: your every omelet whim. You want some mushrooms in it, 374 00:23:37,000 --> 00:23:41,159 Speaker 1: some Parma ham perhaps, you know, the world is your omelets, 375 00:23:41,880 --> 00:23:43,760 Speaker 1: And I'm like, can I just can you just give 376 00:23:43,800 --> 00:23:46,280 Speaker 1: me a play like with some ham and just throw 377 00:23:46,320 --> 00:23:49,080 Speaker 1: the mushrooms on it? Man, I'm not I'm not trying to, 378 00:23:49,560 --> 00:23:52,800 Speaker 1: you know, hassle you here. I will shoot you. I 379 00:23:52,800 --> 00:23:54,720 Speaker 1: don't want your court of steps. Get out of here 380 00:23:56,800 --> 00:23:58,840 Speaker 1: really quickly. You can mentioned court of Stupps. I just 381 00:23:58,880 --> 00:24:02,000 Speaker 1: heard an ad for some sort of mushroomy supplement product 382 00:24:02,320 --> 00:24:05,600 Speaker 1: and they very proudly advertised that court Acceps were one 383 00:24:05,600 --> 00:24:07,359 Speaker 1: of them. I don't think they got the memo about 384 00:24:07,400 --> 00:24:09,760 Speaker 1: the last of us. I wonder if that company is 385 00:24:09,800 --> 00:24:12,800 Speaker 1: doing damage control, and they're like, please do not mention courts, 386 00:24:13,080 --> 00:24:14,960 Speaker 1: do not mention the Last of Us and the same 387 00:24:15,000 --> 00:24:17,159 Speaker 1: breath as our product. You gotta get your body used 388 00:24:17,200 --> 00:24:23,480 Speaker 1: to him now, so later, like like the dread pirate 389 00:24:23,680 --> 00:24:28,160 Speaker 1: Roberts and Princess Bride, like accumulate or acquire a tolerance. 390 00:24:28,200 --> 00:24:31,280 Speaker 1: But also also, you know what, I'm gonna say this, 391 00:24:31,359 --> 00:24:35,119 Speaker 1: since I was, I was giving eggs a hard time. Um, 392 00:24:35,160 --> 00:24:38,040 Speaker 1: maybe Last of Us is a lot of anti court 393 00:24:38,080 --> 00:24:43,080 Speaker 1: ACEPS propaganda because what like, look, humans are really crap 394 00:24:43,080 --> 00:24:46,959 Speaker 1: in the bed, So what what if there were some 395 00:24:47,040 --> 00:24:49,880 Speaker 1: sort of fungal hive mind that was a little bit 396 00:24:49,880 --> 00:24:55,480 Speaker 1: more civilized, you know, like it wasn't all rampaging, zombie, 397 00:24:55,680 --> 00:24:58,160 Speaker 1: ever expanding kind of thing, you know what I mean? 398 00:24:58,240 --> 00:25:00,600 Speaker 1: Like what if this is just like take over one 399 00:25:00,680 --> 00:25:03,359 Speaker 1: country and then it's like, hey, also I've been a 400 00:25:03,600 --> 00:25:07,720 Speaker 1: you know, plausible fusion and space power. The reason why 401 00:25:07,840 --> 00:25:12,119 Speaker 1: cort acepts doesn't work in humans is because of our temperature. Okay, 402 00:25:12,320 --> 00:25:16,159 Speaker 1: that's it. There's been recent reporting in major news outlets 403 00:25:16,640 --> 00:25:20,240 Speaker 1: about how fungus is starting to be able, Certain types 404 00:25:20,280 --> 00:25:24,640 Speaker 1: of fungus, certain species are and now able to live 405 00:25:24,760 --> 00:25:28,480 Speaker 1: in warmer environments. And that's the whole thing we talked 406 00:25:28,480 --> 00:25:32,360 Speaker 1: about recently on Strange News about how fungus is spreading 407 00:25:32,400 --> 00:25:35,719 Speaker 1: in the soil and to different places where it shouldn't be. Guys, 408 00:25:36,720 --> 00:25:39,800 Speaker 1: it's coming. Are you saying there's fungus among us? Yes, 409 00:25:40,160 --> 00:25:42,000 Speaker 1: and it will be inside us and in our mouths 410 00:25:42,040 --> 00:25:43,840 Speaker 1: and when we go in to kiss people, it's going 411 00:25:43,880 --> 00:25:47,800 Speaker 1: to come out of our mouths into their mouths. Tight 412 00:25:47,960 --> 00:25:50,399 Speaker 1: all right, you know, no, I'm not here to king shame. 413 00:25:50,840 --> 00:25:54,679 Speaker 1: Uh So, like the there's also just talking about fungal 414 00:25:54,760 --> 00:25:59,240 Speaker 1: intelligence are not quite but related. You know, this stuff 415 00:25:59,280 --> 00:26:03,959 Speaker 1: is so intelligent. Slime mold in this amazing experiment was 416 00:26:04,720 --> 00:26:11,240 Speaker 1: just dropped into a a system with no connecting dots 417 00:26:11,880 --> 00:26:16,400 Speaker 1: and it recreated the most efficient way to connect those dots, 418 00:26:17,359 --> 00:26:21,680 Speaker 1: which was Japan's rail system. Like it just it just 419 00:26:21,920 --> 00:26:24,520 Speaker 1: figured it out. And it doesn't have a brain or 420 00:26:24,560 --> 00:26:28,000 Speaker 1: anything like a brain. It's amazing than a brain. It's 421 00:26:28,040 --> 00:26:33,080 Speaker 1: a hive mind forward to the future. And and so anyway, 422 00:26:33,080 --> 00:26:36,240 Speaker 1: that's what discourage you there. Let's talk more about cortescepts 423 00:26:36,280 --> 00:26:41,080 Speaker 1: in the future. To took a little eggs scursion. Yes, yes, 424 00:26:42,160 --> 00:26:46,600 Speaker 1: one of us so I mean, look, it's still it's 425 00:26:46,680 --> 00:26:52,359 Speaker 1: historically shocking, right when when you see from this span 426 00:26:52,440 --> 00:26:55,600 Speaker 1: of forty years you see this stability all of a 427 00:26:55,600 --> 00:27:00,879 Speaker 1: sudden go out the window. Why are eggs incredibly expensive? Uh? 428 00:27:00,920 --> 00:27:04,639 Speaker 1: In December of last year, the Bureau of Labor Statistics 429 00:27:04,680 --> 00:27:09,240 Speaker 1: found egg prices had jumped by in just one year 430 00:27:09,400 --> 00:27:14,120 Speaker 1: October to October. And then UH found another statistic from 431 00:27:14,280 --> 00:27:19,480 Speaker 1: STATISTICA that looked at December to December and found egg 432 00:27:19,560 --> 00:27:26,440 Speaker 1: prices rose by sixty So whatever acceleration is happening is 433 00:27:26,640 --> 00:27:33,000 Speaker 1: happening such that it's gaining speed between October November December. 434 00:27:33,119 --> 00:27:35,920 Speaker 1: And so there's kind of you know how like oil 435 00:27:36,600 --> 00:27:39,920 Speaker 1: has different grades, and there are different ways to rate 436 00:27:40,720 --> 00:27:45,560 Speaker 1: average oil prices futures, right, futures. Yeah, and the the 437 00:27:45,640 --> 00:27:48,760 Speaker 1: idea of like sweet crude versus you know, other stuff 438 00:27:48,800 --> 00:27:51,919 Speaker 1: that's not as cool as sweet. Definitely not as sweet, 439 00:27:52,640 --> 00:27:57,119 Speaker 1: but just as crude. Uh, there are there's something like 440 00:27:57,160 --> 00:28:00,840 Speaker 1: that in the world of eggs. Midwest large eggs are 441 00:28:00,880 --> 00:28:06,560 Speaker 1: are kind of the benchmark for eggs sold, you know, 442 00:28:06,600 --> 00:28:10,560 Speaker 1: by the dozen and shells, and they hit five dollars 443 00:28:10,600 --> 00:28:16,959 Speaker 1: and forty six cents per dozen, meaning that you could buy. Uh, 444 00:28:17,119 --> 00:28:19,360 Speaker 1: you know, you could buy a king's ransom of eggs 445 00:28:19,600 --> 00:28:23,160 Speaker 1: in the nineteen eighties for for what one doesn't cost 446 00:28:23,200 --> 00:28:29,359 Speaker 1: you today, even adjusting for inflation, pandemic supply chains, bird flu, etcetera. 447 00:28:29,760 --> 00:28:35,439 Speaker 1: This was unexpected. Sorry, moving on, so here we are here, 448 00:28:35,480 --> 00:28:37,199 Speaker 1: we are I know we're going along with the setup, 449 00:28:37,200 --> 00:28:39,200 Speaker 1: but this is worth it. In the past few weeks, 450 00:28:39,640 --> 00:28:42,640 Speaker 1: there have been tons and tons of social media posts, 451 00:28:42,680 --> 00:28:47,120 Speaker 1: including viral TikTok videos, that have claimed to discover a genuine, 452 00:28:47,520 --> 00:28:52,320 Speaker 1: vast conspiracy to raise the price of eggs or eliminate 453 00:28:52,440 --> 00:28:56,520 Speaker 1: consumers ability to create eggs on their own. Uh. And 454 00:28:56,880 --> 00:29:00,880 Speaker 1: they've accused everyone from huge food companies to a course 455 00:29:01,000 --> 00:29:05,320 Speaker 1: can uh, to big Pharma, and to of course, reigning 456 00:29:05,440 --> 00:29:09,600 Speaker 1: conspiracy King Bill Gates. Uh you know he held that 457 00:29:09,720 --> 00:29:15,800 Speaker 1: title play well, he holds that title on our show, right. 458 00:29:16,480 --> 00:29:20,240 Speaker 1: Um we if you have a better title for Bill Gates, 459 00:29:20,280 --> 00:29:23,800 Speaker 1: please let us know. Uh conspiracy and I heard radio 460 00:29:23,880 --> 00:29:26,680 Speaker 1: dot com. But that's our question today. Could there be 461 00:29:26,720 --> 00:29:29,640 Speaker 1: more to the story than the good old economic conspiracy 462 00:29:29,640 --> 00:29:32,800 Speaker 1: of supply and demand, which I positive is a conspiracy. 463 00:29:32,960 --> 00:29:35,440 Speaker 1: We'll talk about that and more after a quick word 464 00:29:35,520 --> 00:29:45,240 Speaker 1: from our sponsor, Big Egg. We're back. I love the 465 00:29:45,280 --> 00:29:47,960 Speaker 1: idea of big egg. Oh yeah, that's the biggest, the 466 00:29:47,960 --> 00:29:50,880 Speaker 1: biggest of egg, the Dodo egg. Great reason, Like Matt, 467 00:29:51,280 --> 00:29:53,040 Speaker 1: I gave you a hard time for it. But yeah, 468 00:29:53,120 --> 00:29:55,440 Speaker 1: let's bring back the Dodos. We can, we can, we 469 00:29:55,440 --> 00:29:59,600 Speaker 1: can end world hunger those giant eggs. Can you imagine 470 00:30:00,080 --> 00:30:03,200 Speaker 1: you just had a couple of Dodos giant egg That's 471 00:30:03,240 --> 00:30:06,280 Speaker 1: all you need. That's all you need for the whole week, 472 00:30:08,400 --> 00:30:11,640 Speaker 1: Giant Toto eggs and the flintstones. And here's where it 473 00:30:11,720 --> 00:30:17,560 Speaker 1: gets crazy. All right, there's mainstream theories, conspiracy theories, you 474 00:30:17,560 --> 00:30:21,360 Speaker 1: can call them, about eggs. One of the one of 475 00:30:21,400 --> 00:30:27,520 Speaker 1: the main proponents of this is uh, Fox News correspondent 476 00:30:27,960 --> 00:30:34,360 Speaker 1: and the heir to the Swanson food empire, Tucker Carlson. 477 00:30:35,320 --> 00:30:42,040 Speaker 1: Tucker Carlson blames the Biden administration and says the mass 478 00:30:42,120 --> 00:30:48,160 Speaker 1: media apparently everyone except for Fox News, UH is ignoring this. 479 00:30:48,760 --> 00:30:54,440 Speaker 1: And I didn't want us to to misquote the guy, 480 00:30:54,840 --> 00:30:58,200 Speaker 1: so went ahead and pulled like an excerpt, kind of 481 00:30:58,240 --> 00:31:03,040 Speaker 1: the thesis statement of what he's been saying on his program. 482 00:31:03,760 --> 00:31:07,240 Speaker 1: Here's what he says about He said he says the 483 00:31:07,280 --> 00:31:10,280 Speaker 1: problem is with the chicken feed, and he's basing I 484 00:31:10,320 --> 00:31:13,520 Speaker 1: think a lot of his claims on those social media 485 00:31:13,560 --> 00:31:16,480 Speaker 1: posts we mentioned. He says, some of them, some chicken 486 00:31:16,520 --> 00:31:19,600 Speaker 1: farmers have noticed something odd. Their chickens aren't laying eggs 487 00:31:19,680 --> 00:31:22,160 Speaker 1: or as many eggs. And these chickens don't appear sick 488 00:31:22,200 --> 00:31:24,840 Speaker 1: with avian flu. They're not dying, they're still alive. They're 489 00:31:24,880 --> 00:31:28,200 Speaker 1: just not producing eggs. Now, healthy hens lay eggs on 490 00:31:28,240 --> 00:31:30,880 Speaker 1: a regular basis every twenty four to twenty six hours. 491 00:31:30,880 --> 00:31:33,200 Speaker 1: But suddenly chicken owners all over the country, not all 492 00:31:33,280 --> 00:31:36,200 Speaker 1: of them, but a lot of them are reporting they're 493 00:31:36,240 --> 00:31:39,360 Speaker 1: not getting any eggs or as many. So what's causing that? 494 00:31:39,600 --> 00:31:43,520 Speaker 1: Clearly something is causing that. Some have concluded their chicken 495 00:31:43,600 --> 00:31:50,160 Speaker 1: feed may be responsible. Some have right, uh so some 496 00:31:50,400 --> 00:31:55,000 Speaker 1: it's weird because in some people, well, to my mind, 497 00:31:55,120 --> 00:31:58,160 Speaker 1: that's exactly what's happening, right, And I don't know. I'm 498 00:31:58,240 --> 00:32:00,520 Speaker 1: I always trying to picture how else I would say that, 499 00:32:00,880 --> 00:32:03,600 Speaker 1: because when you look at those social media videos, it's 500 00:32:03,640 --> 00:32:07,240 Speaker 1: not every account that has chickens and egg laying chickens, 501 00:32:07,320 --> 00:32:09,960 Speaker 1: but it is some of them. Yeah, so would you 502 00:32:10,000 --> 00:32:13,080 Speaker 1: say a few but it's more than a few. I 503 00:32:13,120 --> 00:32:15,239 Speaker 1: don't know. It was just weird because I, you know, 504 00:32:15,640 --> 00:32:19,600 Speaker 1: like I disagree with Tucker Carlson on many, many most 505 00:32:19,680 --> 00:32:22,840 Speaker 1: things and dislike the way he presents things. But I 506 00:32:22,920 --> 00:32:25,800 Speaker 1: was like, oh, this feels right to me. But just 507 00:32:26,000 --> 00:32:29,040 Speaker 1: and again, you know that's part of critical thought, right 508 00:32:29,200 --> 00:32:33,360 Speaker 1: you if you have disagreed with someone in the past, 509 00:32:33,440 --> 00:32:36,760 Speaker 1: it doesn't mean you should automatically throw out whatever else 510 00:32:36,840 --> 00:32:40,560 Speaker 1: they're saying. There's a reason, people, there's a reason that 511 00:32:40,640 --> 00:32:43,280 Speaker 1: broken clocks are right twice a day, right to use 512 00:32:43,360 --> 00:32:48,400 Speaker 1: the old, to use the old figures speech here, adult chestnut. Yeah, 513 00:32:48,400 --> 00:32:51,720 Speaker 1: what are the poet w s merwindn't say a quotation 514 00:32:52,120 --> 00:32:57,080 Speaker 1: is a a quotation is a good substitute for wit 515 00:32:57,600 --> 00:32:59,600 Speaker 1: or something like that. I'm so, I'm aware of the 516 00:32:59,680 --> 00:33:02,280 Speaker 1: danger of those kind of cliches, but yeah, it's it's 517 00:33:02,280 --> 00:33:04,560 Speaker 1: a really important point, Matt, And I don't know the 518 00:33:04,600 --> 00:33:08,320 Speaker 1: better way to say it either. Uh. But Carlson does 519 00:33:08,360 --> 00:33:11,719 Speaker 1: a couple of things. He also brings up a recent 520 00:33:11,880 --> 00:33:17,360 Speaker 1: fire in Connecticut where a number of chickens died. Right, 521 00:33:17,600 --> 00:33:21,880 Speaker 1: and the number of chickens varies, but it was a 522 00:33:21,880 --> 00:33:25,440 Speaker 1: lot of birds, and he says, Hey, it's it's strange 523 00:33:25,520 --> 00:33:29,080 Speaker 1: that meet other media companies don't cover this. They don't 524 00:33:29,080 --> 00:33:34,200 Speaker 1: think it's a story at all. And this reminded me 525 00:33:34,240 --> 00:33:38,240 Speaker 1: immediately of the allegations that there was a coordinated attack 526 00:33:38,320 --> 00:33:42,960 Speaker 1: on the US food supply infrastructure. We did a pretty 527 00:33:43,880 --> 00:33:46,840 Speaker 1: pretty dope piece on this that has yet to make 528 00:33:46,960 --> 00:33:51,120 Speaker 1: it out into the public. Um. Well, we can't really 529 00:33:51,160 --> 00:33:53,600 Speaker 1: spoil it, but hopefully it gets there one day and 530 00:33:53,640 --> 00:33:56,240 Speaker 1: then you know. Side note, if you're looking for coordinated 531 00:33:56,280 --> 00:33:59,560 Speaker 1: infrastructure attacks, you should be more worried about your local 532 00:33:59,600 --> 00:34:03,960 Speaker 1: power grid because that's where people are gonna go, right. 533 00:34:04,040 --> 00:34:07,720 Speaker 1: It's it's way easier than getting into the water or 534 00:34:07,800 --> 00:34:12,160 Speaker 1: waste treatment plant. And it's not as um mouse trappy 535 00:34:12,360 --> 00:34:15,920 Speaker 1: and complicated as attacking the food the food grid. But 536 00:34:16,120 --> 00:34:20,520 Speaker 1: well why not just attack the feed grid? There we go, 537 00:34:20,960 --> 00:34:24,440 Speaker 1: ding ding ding. Yes, Okay, so there's that. This is 538 00:34:24,480 --> 00:34:27,759 Speaker 1: the biggest theory, and this is what um pundits like 539 00:34:27,840 --> 00:34:32,480 Speaker 1: Carlson are referring to the dominant version of this theory, 540 00:34:32,520 --> 00:34:34,600 Speaker 1: which I know makes it sound like a strain of COVID, 541 00:34:34,640 --> 00:34:38,880 Speaker 1: but whatever is. Basically the gist is this large food 542 00:34:38,920 --> 00:34:45,719 Speaker 1: manufacturers have conspired to make consumer owned chickens incapable of 543 00:34:45,800 --> 00:34:50,319 Speaker 1: laying eggs by putting some nefarious, dodgy stuff in the 544 00:34:50,440 --> 00:34:54,360 Speaker 1: chicken feed, forcing those people to buy eggs from the 545 00:34:54,440 --> 00:34:58,759 Speaker 1: grocery store while increasing the price of eggs with the 546 00:34:58,760 --> 00:35:04,879 Speaker 1: goal of ensuring higher profits and making the overall population 547 00:35:05,160 --> 00:35:10,600 Speaker 1: increasingly less self sufficient in general. Yeah, the concept here 548 00:35:10,760 --> 00:35:15,520 Speaker 1: for me is to target any operation that buys feed 549 00:35:16,640 --> 00:35:21,000 Speaker 1: of in smaller amounts than what the absolute largest amount 550 00:35:21,000 --> 00:35:22,920 Speaker 1: of feed you can buy would be for these these 551 00:35:23,000 --> 00:35:26,920 Speaker 1: huge factory farm operations. Right, so you target any and 552 00:35:26,960 --> 00:35:30,480 Speaker 1: this is this is me theorizing about the theory. Okay, 553 00:35:30,520 --> 00:35:34,080 Speaker 1: this is not Matt saying things that are absolutely true 554 00:35:34,160 --> 00:35:36,880 Speaker 1: or proven. I think the conspiracy theory here is to 555 00:35:36,960 --> 00:35:40,920 Speaker 1: target anyone that is lower than a large farm. Right. Yeah, 556 00:35:40,960 --> 00:35:46,399 Speaker 1: that's nailed it, because why would they target themselves? Right? 557 00:35:46,640 --> 00:35:49,920 Speaker 1: The ideas, So, the idea would be for for this 558 00:35:50,000 --> 00:35:52,600 Speaker 1: to be true, then there would have to be some 559 00:35:52,680 --> 00:35:55,960 Speaker 1: other feed that is not sold on the market, that 560 00:35:56,000 --> 00:36:01,879 Speaker 1: has kept internal that only only the um culprits use. 561 00:36:02,760 --> 00:36:08,120 Speaker 1: And this this has gone everywhere of places like TikTok personally, 562 00:36:08,920 --> 00:36:11,640 Speaker 1: or I would say largely because in my opinion. At 563 00:36:11,719 --> 00:36:14,880 Speaker 1: least it's got something really clever. It's based in a 564 00:36:14,960 --> 00:36:20,319 Speaker 1: true conspiracy. They're not really that many food manufacturers that 565 00:36:20,440 --> 00:36:23,280 Speaker 1: what seems to be a diverse marketplace full of a 566 00:36:23,480 --> 00:36:27,680 Speaker 1: thousands of competing brands is really when you think about it, 567 00:36:27,680 --> 00:36:30,480 Speaker 1: it's kind of a theater played out for you every 568 00:36:30,520 --> 00:36:33,440 Speaker 1: time you visit the grocery store. Yeah, it's packaged, you know, 569 00:36:33,640 --> 00:36:36,080 Speaker 1: and and and sold to you as something different. But 570 00:36:36,120 --> 00:36:38,040 Speaker 1: it's all kind of coming from just a handful of 571 00:36:38,080 --> 00:36:40,960 Speaker 1: places a hundred percent. It's a if we want to 572 00:36:40,960 --> 00:36:44,840 Speaker 1: make another another dated reference, uh, it's like that movie, 573 00:36:45,480 --> 00:36:50,040 Speaker 1: or it's like the recent reboot of Nutty Professor where 574 00:36:50,040 --> 00:36:52,960 Speaker 1: the main cast is all played by Eddie Murphy. Right, 575 00:36:53,080 --> 00:36:57,520 Speaker 1: it looks I mean it's recent compared to the original 576 00:36:57,600 --> 00:37:03,080 Speaker 1: Nutting Is that Flubber? Yeah yeah, and there was also 577 00:37:03,200 --> 00:37:06,680 Speaker 1: the Robin Williams one. It was just called flubber. Oh 578 00:37:06,719 --> 00:37:11,480 Speaker 1: my gosh. Eddie Murphy's Nutty Professor came out in nineteen 579 00:37:11,640 --> 00:37:17,960 Speaker 1: ninety six. Yeah. Wow, Okay, wait, time isn't real. No, 580 00:37:18,320 --> 00:37:24,320 Speaker 1: it's an illusion and the first week were only sure 581 00:37:24,360 --> 00:37:27,960 Speaker 1: his eggs as eggs. The Nutty Professor movie storry Eddie 582 00:37:28,000 --> 00:37:31,920 Speaker 1: Murphy came out nineteen hundred ninety six and it was 583 00:37:31,960 --> 00:37:37,320 Speaker 1: based on nineteen sixty three Nutty Professor. Okay, cool, we 584 00:37:37,480 --> 00:37:40,920 Speaker 1: sorted that out. That's the burning question that made everybody 585 00:37:40,960 --> 00:37:43,399 Speaker 1: listen to this episode. They were like, I know it's 586 00:37:43,440 --> 00:37:45,160 Speaker 1: his eggs in the title, but they're going to get 587 00:37:45,200 --> 00:37:47,960 Speaker 1: to the Nutty Professor. I trust these guys. And if 588 00:37:48,000 --> 00:37:50,200 Speaker 1: you want to feel really old and weird and how 589 00:37:50,239 --> 00:37:54,719 Speaker 1: time is ephemeral, the distance between that original version and 590 00:37:54,800 --> 00:37:57,840 Speaker 1: the Eddie Murphy version isn't that far off between the 591 00:37:57,880 --> 00:38:03,120 Speaker 1: distance from the Eddie Murphy version. And yeah, don't forget 592 00:38:03,120 --> 00:38:07,400 Speaker 1: about the clumps, guys. Yeah, So there's this idea that 593 00:38:07,600 --> 00:38:12,719 Speaker 1: just a few companies own a load of stuff and 594 00:38:12,760 --> 00:38:17,840 Speaker 1: they're not really transparent about it. That's real. That is 595 00:38:17,880 --> 00:38:21,040 Speaker 1: not a theory. That is a genuine conspiracy, and it 596 00:38:21,160 --> 00:38:24,440 Speaker 1: is enacted upon you every time you go to a 597 00:38:24,480 --> 00:38:28,600 Speaker 1: grocery store or your local bodega. But let's start there. 598 00:38:28,600 --> 00:38:34,640 Speaker 1: Who manufactures chicken feed? Then there's one TikTok account in 599 00:38:34,640 --> 00:38:38,520 Speaker 1: particular that went viral about the chicken feed conspiracy that 600 00:38:38,640 --> 00:38:41,640 Speaker 1: several of our fellow conspiracy realists sent in as a 601 00:38:41,680 --> 00:38:44,040 Speaker 1: matter of fact, I think some of us sent in 602 00:38:45,120 --> 00:38:49,200 Speaker 1: several different takes on this, and and matt Um and no, 603 00:38:49,520 --> 00:38:51,840 Speaker 1: I think we all we all watched some of these 604 00:38:52,320 --> 00:38:56,600 Speaker 1: uh and they have variations, but the variations on a 605 00:38:56,880 --> 00:39:00,920 Speaker 1: theme m in one in particular that's up pretty frequently. 606 00:39:01,600 --> 00:39:05,640 Speaker 1: We've got a host with her own chickens who claims 607 00:39:06,040 --> 00:39:10,960 Speaker 1: her crew has stopped laying eggs, and voice is concerned 608 00:39:11,040 --> 00:39:13,680 Speaker 1: that large companies might be putting something in the feed 609 00:39:13,719 --> 00:39:17,360 Speaker 1: to prevent the hens from lane from going back to 610 00:39:17,440 --> 00:39:21,040 Speaker 1: laying eggs. And then this host goes on to trace 611 00:39:21,160 --> 00:39:24,640 Speaker 1: the shell of companies and brands that produced the feed 612 00:39:25,000 --> 00:39:29,160 Speaker 1: she's been getting for chickens, going from Purina Mills to 613 00:39:29,480 --> 00:39:33,600 Speaker 1: Land Lakes, to Calmine Foods and so on. The tracing 614 00:39:33,680 --> 00:39:38,400 Speaker 1: of these companies is largely correct, yes, X, until you 615 00:39:38,480 --> 00:39:42,560 Speaker 1: get to the purenas of it all, because I know 616 00:39:42,680 --> 00:39:47,120 Speaker 1: there's like multiple companies within Purina, and there's one that 617 00:39:47,760 --> 00:39:50,080 Speaker 1: one that deals with cat and dog food and then 618 00:39:50,200 --> 00:39:54,759 Speaker 1: Purina that's specifically for large scale animal feed. Yeah. Yeah, 619 00:39:54,960 --> 00:40:02,480 Speaker 1: the the Purina Mills is the um is that feed thing. 620 00:40:03,160 --> 00:40:09,239 Speaker 1: Regular Perenia is owned by Nestley, not Land of Lakes 621 00:40:09,280 --> 00:40:14,120 Speaker 1: both of them originate from a company called Rolston Purina 622 00:40:14,920 --> 00:40:17,880 Speaker 1: back in theres. This is how they get you. You 623 00:40:17,920 --> 00:40:20,799 Speaker 1: know what I mean is that I don't get it 624 00:40:21,640 --> 00:40:24,879 Speaker 1: owned by the shine Heart wig company, all of which 625 00:40:24,920 --> 00:40:29,359 Speaker 1: are of course owned by shine Heart Porcelain Wigs. Yes, 626 00:40:29,480 --> 00:40:31,200 Speaker 1: I and Ben I would agree. That's that's one of 627 00:40:31,239 --> 00:40:34,600 Speaker 1: the primary, let's say, styles of videos. So we've seen 628 00:40:34,640 --> 00:40:37,359 Speaker 1: that one in particular, but then a lot of them are, 629 00:40:38,320 --> 00:40:41,839 Speaker 1: as you said, just somebody who has chickens, usually a 630 00:40:41,920 --> 00:40:45,120 Speaker 1: small flock that they used to grow their own eggs. 631 00:40:45,600 --> 00:40:49,280 Speaker 1: And the most common thing I've heard been is, uh, 632 00:40:49,360 --> 00:40:51,920 Speaker 1: the chickens just stopped laying eggs a while back. We 633 00:40:52,000 --> 00:40:54,799 Speaker 1: just haven't gotten eggs since you know this X time, right, 634 00:40:55,360 --> 00:40:59,359 Speaker 1: And we switched the feed last week or yesterday or 635 00:40:59,360 --> 00:41:02,400 Speaker 1: whatever time ago they switched the feed. Now our chickens 636 00:41:02,400 --> 00:41:05,880 Speaker 1: are laying eggs. And then here and then usually here's 637 00:41:05,880 --> 00:41:08,040 Speaker 1: an example of what the new feed looks like, that 638 00:41:08,080 --> 00:41:11,000 Speaker 1: we now created our house rather than the store bought kind. 639 00:41:11,800 --> 00:41:16,200 Speaker 1: That's the one I've seen, right, Yeah, I've seen that. Um, 640 00:41:16,480 --> 00:41:18,560 Speaker 1: I almost want to call the genre now I've seen 641 00:41:18,600 --> 00:41:23,160 Speaker 1: that that as well, where someone is saying I'm not 642 00:41:23,200 --> 00:41:27,640 Speaker 1: going to give you a grand conspiracy necessarily, but here's 643 00:41:27,640 --> 00:41:30,799 Speaker 1: what's happening in my neck of the woods, which is 644 00:41:30,840 --> 00:41:34,799 Speaker 1: totally awesome, super valid stuff that if we want to 645 00:41:34,840 --> 00:41:41,279 Speaker 1: play along at home with this idea of evil company conspiracy, 646 00:41:41,440 --> 00:41:43,919 Speaker 1: let's go bigger. Because one thing a lot of these 647 00:41:44,000 --> 00:41:48,960 Speaker 1: videos don't mention is that they're of the top ten 648 00:41:49,360 --> 00:41:54,560 Speaker 1: animal feed manufacturers in the world, only three are based 649 00:41:54,560 --> 00:41:58,839 Speaker 1: in the United States. Number one is called CP Group. 650 00:41:58,960 --> 00:42:03,759 Speaker 1: They're out of Thailand. Number two is New Hope leh Uh, 651 00:42:03,840 --> 00:42:07,920 Speaker 1: which is out of China, and number three is Cargill, 652 00:42:08,320 --> 00:42:10,040 Speaker 1: which is out of the US. And there are another 653 00:42:10,080 --> 00:42:13,960 Speaker 1: company that owns tons and tons of stuff. Purina is 654 00:42:14,000 --> 00:42:18,960 Speaker 1: only number four, meaning that if you are buying animal 655 00:42:19,120 --> 00:42:22,440 Speaker 1: feed in the United States, statistically, you're more likely to 656 00:42:22,480 --> 00:42:26,799 Speaker 1: be buying it from Cargill, right unless you shop at 657 00:42:26,840 --> 00:42:31,839 Speaker 1: one of these stores. There's several around here where I'm 658 00:42:31,880 --> 00:42:35,920 Speaker 1: living right now, guys that specialize in feed. And I 659 00:42:36,160 --> 00:42:39,239 Speaker 1: took a little walk through there and Purina was one 660 00:42:39,239 --> 00:42:43,960 Speaker 1: of the primary brands, at least on display. I noticed there. Okay, yeah, 661 00:42:43,960 --> 00:42:46,080 Speaker 1: because it might be like a pepsi coke thing, there 662 00:42:46,120 --> 00:42:50,040 Speaker 1: might be kind of a soft regional monopoly, right. Well, 663 00:42:50,239 --> 00:42:53,640 Speaker 1: and I'm especially thinking if you're buying enough feed for 664 00:42:53,719 --> 00:42:59,360 Speaker 1: a small flock of chickens at your home, right country, Yeah, yeah, 665 00:42:59,520 --> 00:43:01,960 Speaker 1: you don't got to buy the giant barrels of it. 666 00:43:02,000 --> 00:43:03,840 Speaker 1: You just you know, buy enough to feed your chickens 667 00:43:03,840 --> 00:43:05,960 Speaker 1: for a couple of weeks. Yeah, And that's I mean, 668 00:43:06,120 --> 00:43:08,840 Speaker 1: I think that's a that's a great point because again, 669 00:43:08,880 --> 00:43:11,320 Speaker 1: a lot of this goes back to the divide between 670 00:43:11,320 --> 00:43:15,640 Speaker 1: commercial manufacturers and people at home who want to be 671 00:43:15,760 --> 00:43:18,080 Speaker 1: maybe in their mind a little more healthy or a 672 00:43:18,080 --> 00:43:22,600 Speaker 1: little more self sufficient, both of which are absolutely admirable goals. 673 00:43:23,640 --> 00:43:27,160 Speaker 1: But we've got to drill down into the way things 674 00:43:27,200 --> 00:43:30,879 Speaker 1: are versus the way things are portrayed, right on both 675 00:43:31,040 --> 00:43:34,360 Speaker 1: both sides of this argument. The folks who are saying 676 00:43:34,680 --> 00:43:38,680 Speaker 1: everything is dire and disastrous and the folks who are 677 00:43:38,719 --> 00:43:42,600 Speaker 1: saying everything's fine, don't look behind the curtain, don't check 678 00:43:42,840 --> 00:43:46,359 Speaker 1: in the henhouse to keep walking. Yeah, So with that, 679 00:43:46,440 --> 00:43:48,720 Speaker 1: we're gonna take a break to hear from our pals 680 00:43:48,760 --> 00:43:58,400 Speaker 1: at Big Egg, and then we'll be back. And we 681 00:43:58,440 --> 00:44:01,360 Speaker 1: have returned. So one of the things that we've we 682 00:44:01,520 --> 00:44:04,279 Speaker 1: laid out here is that, despite the way it might 683 00:44:04,320 --> 00:44:07,440 Speaker 1: be portrayed in some of these videos or some of 684 00:44:07,440 --> 00:44:11,960 Speaker 1: these reports, again with the best of intentions, Perina and 685 00:44:12,040 --> 00:44:15,359 Speaker 1: its ultimate owners are not the largest outfits on the 686 00:44:15,360 --> 00:44:19,960 Speaker 1: block at this point. Stories of switching from one feet 687 00:44:20,000 --> 00:44:27,080 Speaker 1: to another to encourage laying of eggs, they seem really good, right, 688 00:44:27,200 --> 00:44:31,520 Speaker 1: and they they seem positive. They end on an inspirational 689 00:44:31,680 --> 00:44:35,719 Speaker 1: or cautionary note, which is a really good kind of 690 00:44:37,640 --> 00:44:41,239 Speaker 1: It's like a good mouth feel for your mind. Uh 691 00:44:41,280 --> 00:44:43,600 Speaker 1: in the end with a C T A often yes, 692 00:44:44,160 --> 00:44:47,879 Speaker 1: like here's something you can do right, which popularizes them. 693 00:44:47,960 --> 00:44:49,560 Speaker 1: You want to share it? Hey, do you have do 694 00:44:49,560 --> 00:44:52,200 Speaker 1: you know anybody that has chickens? You should watch this. 695 00:44:52,320 --> 00:44:56,439 Speaker 1: So people are even like dog and cat food, there's 696 00:44:56,480 --> 00:44:59,719 Speaker 1: different kinds that are like, you know, shiny coat or 697 00:44:59,719 --> 00:45:02,720 Speaker 1: what ever it might be. And maybe if your dog 698 00:45:02,840 --> 00:45:05,800 Speaker 1: is by the way, Matt, you you recommended uh fish 699 00:45:05,840 --> 00:45:09,800 Speaker 1: oil for preventing dog shedding, and let me tell you, buddy, 700 00:45:09,800 --> 00:45:12,839 Speaker 1: We've been using that on our geriatric dog Jude and 701 00:45:12,960 --> 00:45:15,920 Speaker 1: the shedding has almost disappeared. It's kind of miraculous. So 702 00:45:16,320 --> 00:45:19,120 Speaker 1: uh the day, thanks you for that, as do I 703 00:45:19,600 --> 00:45:21,960 Speaker 1: UM big win there, but again, you see these different 704 00:45:22,040 --> 00:45:27,200 Speaker 1: varieties of animal feed um for various dietary reasons, perhaps 705 00:45:27,400 --> 00:45:30,080 Speaker 1: sensitive stomach and things like that. So why wouldn't that 706 00:45:30,120 --> 00:45:33,560 Speaker 1: be the case with with chickens to you know, encourage 707 00:45:33,600 --> 00:45:41,200 Speaker 1: certain um digestive behaviors or perhaps better egg laying practices. Well, 708 00:45:41,840 --> 00:45:44,680 Speaker 1: and this is what I'm finding right now, guys, whole 709 00:45:44,760 --> 00:45:51,000 Speaker 1: green feed. I'm seeing mash, I'm seeing pellets, I'm seeing crumbles, 710 00:45:51,040 --> 00:45:54,960 Speaker 1: and I know nothing about actual chicken feed and what 711 00:45:55,000 --> 00:45:57,200 Speaker 1: it looks like or what's inside of it. But I 712 00:45:57,239 --> 00:46:03,640 Speaker 1: went to uh, what is this backyard chicken coops dot com. 713 00:46:03,680 --> 00:46:06,799 Speaker 1: You can also go to trade groups like the American 714 00:46:06,880 --> 00:46:11,799 Speaker 1: Feed Industry Association or if yea UH to learn more 715 00:46:12,239 --> 00:46:16,440 Speaker 1: about various types of livestock feed. And no, I believe 716 00:46:16,480 --> 00:46:18,640 Speaker 1: you are to a degree cred Now. I I wasn't 717 00:46:18,640 --> 00:46:21,879 Speaker 1: in the fish oil conversations. I I don't know about that, 718 00:46:22,200 --> 00:46:25,239 Speaker 1: but I do know that, UM, yeah, there will be 719 00:46:25,960 --> 00:46:29,080 Speaker 1: different There are different varieties of feed that are not 720 00:46:29,160 --> 00:46:32,920 Speaker 1: just based on shape, but also based on content, right, 721 00:46:32,960 --> 00:46:34,759 Speaker 1: And that's a big thing that people are doing with 722 00:46:34,800 --> 00:46:38,560 Speaker 1: their homemade feed. Is there exercising the ingredients that they 723 00:46:38,600 --> 00:46:42,440 Speaker 1: feel maybe nefarious. Yeah, absolutely, it's content. And the stage 724 00:46:42,480 --> 00:46:44,960 Speaker 1: of your chickens are at. Are they chicks? Did you 725 00:46:44,960 --> 00:46:46,400 Speaker 1: buy a bunch of chicks and they're growing, or do 726 00:46:46,400 --> 00:46:48,600 Speaker 1: you have new chicks that are growing. There's a feed 727 00:46:48,640 --> 00:46:50,400 Speaker 1: for that. Do you have chicks that are trying to 728 00:46:50,480 --> 00:46:52,719 Speaker 1: lay eggs, there's a feed for that. And I think 729 00:46:52,800 --> 00:46:55,719 Speaker 1: that is the feed that most people are focusing on, 730 00:46:55,840 --> 00:47:01,120 Speaker 1: the layer feed, like as in chicken egg layer feed. Yeah, 731 00:47:01,200 --> 00:47:04,920 Speaker 1: and this look. Uh. The other thing is that these 732 00:47:05,000 --> 00:47:10,239 Speaker 1: videos don't have They typically do not include the controls 733 00:47:10,360 --> 00:47:14,480 Speaker 1: you would expect in an experiment, right the and when 734 00:47:14,480 --> 00:47:17,520 Speaker 1: we say controls, that means what you want to do 735 00:47:17,840 --> 00:47:23,920 Speaker 1: is make sure that everything about a situation is the 736 00:47:24,040 --> 00:47:27,480 Speaker 1: same except for the one thing you want to test, 737 00:47:27,600 --> 00:47:31,120 Speaker 1: the one variable you want to fox with, and that 738 00:47:31,239 --> 00:47:35,080 Speaker 1: variable would be the feed or ingredients in the feed. 739 00:47:35,239 --> 00:47:38,080 Speaker 1: But we don't see all these things being controlled for 740 00:47:38,239 --> 00:47:40,919 Speaker 1: in a lot of these videos. And the tricky part 741 00:47:40,920 --> 00:47:44,960 Speaker 1: there is that decrease in egg output can be affected 742 00:47:45,280 --> 00:47:49,040 Speaker 1: or infected by all sorts of stuff bad nutrition, Right, 743 00:47:49,120 --> 00:47:53,520 Speaker 1: That's that's feed really related, but also temperature can affect 744 00:47:53,600 --> 00:47:58,839 Speaker 1: whether or not chicken will lay an egg. Parasites, viruses. 745 00:47:59,239 --> 00:48:04,080 Speaker 1: Stress on chicken can also influence things. Um, there could 746 00:48:04,080 --> 00:48:08,600 Speaker 1: be hormonal changes, which again could be food related. Uh. 747 00:48:08,880 --> 00:48:13,480 Speaker 1: Then there's the idea of we should hear from some 748 00:48:13,560 --> 00:48:15,719 Speaker 1: more people. I know we've got a lot of uh 749 00:48:15,800 --> 00:48:18,719 Speaker 1: can fellow conspiracy realist who owned chickens. So let's hear 750 00:48:18,880 --> 00:48:23,040 Speaker 1: your stories, folks. What what you think about this, because 751 00:48:23,040 --> 00:48:25,560 Speaker 1: we're gonna shift what you think about the feed because 752 00:48:25,560 --> 00:48:28,799 Speaker 1: we're gonna shift to another thing. It's a little more 753 00:48:28,840 --> 00:48:33,040 Speaker 1: out there, Big Farmer and the COVID cure, which is 754 00:48:33,600 --> 00:48:37,080 Speaker 1: a great name for a Southern rock band, but also 755 00:48:37,880 --> 00:48:42,680 Speaker 1: a totally other brand, a totally different branch of chicken theory. 756 00:48:42,880 --> 00:48:47,560 Speaker 1: There's the idea that powerful okay just set up the 757 00:48:47,600 --> 00:48:52,000 Speaker 1: goal post here. Uh, there's this idea that one eggs 758 00:48:52,120 --> 00:48:57,000 Speaker 1: provide a natural protection from coronavirus. So this theory accepts 759 00:48:57,040 --> 00:49:03,680 Speaker 1: the covid is real. Two powerful pharmaceutical interest are purposely 760 00:49:03,800 --> 00:49:08,680 Speaker 1: pushing eggs off of grocery shells, disincentivizing people from buying 761 00:49:08,719 --> 00:49:13,040 Speaker 1: them because they don't want folks to know that eggs 762 00:49:13,120 --> 00:49:19,759 Speaker 1: can cure coronavirus. Those are the basics. What do we think, um, okay, 763 00:49:20,360 --> 00:49:25,359 Speaker 1: so what do we know about eggs preventing coronavirus? I 764 00:49:25,360 --> 00:49:30,560 Speaker 1: have not that's new to me. Yeah, it's it's new. Uh, 765 00:49:31,000 --> 00:49:33,640 Speaker 1: it's new to me as well. Uh. And it's not true. 766 00:49:34,400 --> 00:49:39,440 Speaker 1: Is the issue? This is conclusively there's no sand to it. Well, 767 00:49:39,960 --> 00:49:43,319 Speaker 1: but then we got a problem here already. Yeah, yeah, 768 00:49:43,440 --> 00:49:47,680 Speaker 1: it's it's it's a tough it's a tall milkshake, right. Um. 769 00:49:47,760 --> 00:49:50,520 Speaker 1: And if we're wrong, if there is solid proof the 770 00:49:50,560 --> 00:49:54,719 Speaker 1: eggs prevent corona virus, then please please do reach out 771 00:49:54,800 --> 00:49:57,719 Speaker 1: and touch space, you know, uh and let us let 772 00:49:57,800 --> 00:50:02,920 Speaker 1: us know. Yeah, uh, touch wood as they used to 773 00:50:02,920 --> 00:50:09,640 Speaker 1: say back in the day for superstitious and touch eggs. 774 00:50:09,680 --> 00:50:16,160 Speaker 1: Smooth as eggs. Smooth as eggs. Oh, your rown personal 775 00:50:17,320 --> 00:50:23,600 Speaker 1: guiche is right' that's the winner. And here's another another 776 00:50:23,680 --> 00:50:26,000 Speaker 1: kind of out there theory, the idea this is related 777 00:50:26,040 --> 00:50:28,720 Speaker 1: to coronavirus as well, which so why we're grouping them together. 778 00:50:28,840 --> 00:50:35,960 Speaker 1: The idea that chicken feet is being adulterated, contaminated, injected 779 00:50:36,040 --> 00:50:40,799 Speaker 1: with m R in a such that it is altering 780 00:50:41,920 --> 00:50:45,160 Speaker 1: the nature of the chickens who consume it such that 781 00:50:45,239 --> 00:50:50,279 Speaker 1: they no longer create eggs. So this has a lot 782 00:50:50,600 --> 00:50:57,759 Speaker 1: in common with the idea that um COVID nineteen vaccines 783 00:50:58,520 --> 00:51:06,000 Speaker 1: would alter the the genetic makeup of people who got vaccinated. 784 00:51:06,520 --> 00:51:13,319 Speaker 1: M So we were Maderna vaxing the chickens through their 785 00:51:13,360 --> 00:51:19,160 Speaker 1: feed somehow, Yes, because that's the most direct way to 786 00:51:19,440 --> 00:51:27,080 Speaker 1: affect things. There's absolutely nothing that could go wrong. Like 787 00:51:27,200 --> 00:51:31,719 Speaker 1: Mitchell and website and their conspiracy theory um sketches, what 788 00:51:31,760 --> 00:51:36,520 Speaker 1: we're looking at is a watertight hit. Um. Guys Avian 789 00:51:36,600 --> 00:51:38,879 Speaker 1: flu is on the rise. It's a real problem right now, 790 00:51:38,960 --> 00:51:40,759 Speaker 1: how are we going to get this mr NA and 791 00:51:40,800 --> 00:51:45,680 Speaker 1: these chickens. Well, first we need to make a virus, 792 00:51:45,719 --> 00:51:48,840 Speaker 1: so it's like, go on, whether it's a virus for 793 00:51:49,000 --> 00:51:55,279 Speaker 1: humans is the thing? Ah, Then we can test out 794 00:51:55,280 --> 00:52:00,279 Speaker 1: our new vaccine technology, which includes gene therapy on the 795 00:52:00,360 --> 00:52:03,680 Speaker 1: humans first, because as we know, the ruling class of 796 00:52:03,800 --> 00:52:07,520 Speaker 1: chickens will of course never consent to experiment it on 797 00:52:07,600 --> 00:52:14,520 Speaker 1: chickens first. Right, Okay, well we solved it. Uh, this 798 00:52:14,600 --> 00:52:17,719 Speaker 1: is where alright, So these things are all in the air. 799 00:52:17,760 --> 00:52:21,200 Speaker 1: And of course, anytime m r NA is brought up 800 00:52:21,239 --> 00:52:25,680 Speaker 1: in a conspiratorial tone, Bill Gates gets mentioned, right, and 801 00:52:25,719 --> 00:52:28,520 Speaker 1: the idea is that he is somehow participated in this. 802 00:52:28,719 --> 00:52:33,000 Speaker 1: The evidence pointing to him being related. It all goes 803 00:52:33,080 --> 00:52:36,920 Speaker 1: back to stuff that we explore in our book. Stuff 804 00:52:36,960 --> 00:52:40,240 Speaker 1: they don't want you to know. Uh, we did find 805 00:52:40,640 --> 00:52:46,280 Speaker 1: a We did find something funny. We mentioned a FEA 806 00:52:46,520 --> 00:52:50,520 Speaker 1: or a f I, a American Feed Industry association. They 807 00:52:50,520 --> 00:52:53,440 Speaker 1: got so heated up about all this stuff that they 808 00:52:53,480 --> 00:52:56,600 Speaker 1: wrote a blog post just a few days before we 809 00:52:56,640 --> 00:53:00,720 Speaker 1: recorded this, and the title sounds so irritated. Did because 810 00:53:00,760 --> 00:53:04,520 Speaker 1: it's like it's in all caps the website. Yeah, No, 811 00:53:05,280 --> 00:53:08,320 Speaker 1: there isn't a conspiracy around in chicken feed and reduced 812 00:53:08,360 --> 00:53:13,759 Speaker 1: egg production, you fools. Well, yeah, according to you, Victoria, 813 00:53:14,120 --> 00:53:18,920 Speaker 1: I'm just I'm just choking. I editorialized that, you fools bit, 814 00:53:18,960 --> 00:53:23,680 Speaker 1: but it's implied heavily. Yeah, guys, I honestly don't know 815 00:53:24,040 --> 00:53:26,680 Speaker 1: enough about this stuff. Like I'm sorry, I'm going back 816 00:53:26,719 --> 00:53:30,360 Speaker 1: over this concept of of m r n A somehow 817 00:53:30,400 --> 00:53:34,720 Speaker 1: getting into feed, like as ribonucleic acid in the feed. 818 00:53:35,600 --> 00:53:38,040 Speaker 1: I don't know enough about gene therapy. I don't know 819 00:53:38,160 --> 00:53:40,759 Speaker 1: enough about how it functions when you shoot it into 820 00:53:40,800 --> 00:53:44,680 Speaker 1: your arm with the Maderna vaccine and your you know, 821 00:53:44,760 --> 00:53:48,200 Speaker 1: your body changes to manufacture the stuff to prevent you 822 00:53:48,200 --> 00:53:52,200 Speaker 1: from getting sick from coronavirus. How could that same type 823 00:53:52,239 --> 00:53:57,240 Speaker 1: of substance work through the digestive tract. I just don't understand. Yeah, 824 00:53:57,360 --> 00:54:00,759 Speaker 1: how's it even possible? Also? To what end is this? 825 00:54:01,120 --> 00:54:04,200 Speaker 1: You know? That's usually the question that I asked first 826 00:54:04,239 --> 00:54:06,000 Speaker 1: with a lot of these conspiracy and I think we 827 00:54:06,080 --> 00:54:08,960 Speaker 1: all do, is what what's the point? What is this 828 00:54:09,280 --> 00:54:13,560 Speaker 1: meants to accomplish? It's just sort of cool to have secrets. 829 00:54:14,160 --> 00:54:18,040 Speaker 1: I'm I'm plagiarizing Mitchell and web There. No, no, it's 830 00:54:18,080 --> 00:54:22,040 Speaker 1: a great question, like, to what end? Right? What? Why 831 00:54:22,040 --> 00:54:24,920 Speaker 1: are we doing this? The RNA thing? Maybe we can 832 00:54:24,960 --> 00:54:27,279 Speaker 1: feel some of the questions here, Matt. The RNA thing 833 00:54:27,360 --> 00:54:33,480 Speaker 1: comes from comes from social media. There's no there's no 834 00:54:33,600 --> 00:54:36,480 Speaker 1: scholarly paper on it, at least not that I could find. 835 00:54:37,040 --> 00:54:40,919 Speaker 1: There was no substance of study. What I did see 836 00:54:41,200 --> 00:54:45,000 Speaker 1: was a lot of TikTok stuff, a lot of Facebook 837 00:54:45,120 --> 00:54:51,760 Speaker 1: videos where people are claiming that quote. They're saying things 838 00:54:51,800 --> 00:54:54,840 Speaker 1: like I'm just pulling this from the USA Today articles 839 00:54:54,840 --> 00:54:58,120 Speaker 1: saying the same stuff quote. I found plenty of information 840 00:54:58,160 --> 00:55:01,680 Speaker 1: about using RNA sequencing and feed and dealing with chickens 841 00:55:01,719 --> 00:55:07,400 Speaker 1: that this could be potentially it uh, and they there's 842 00:55:07,400 --> 00:55:11,239 Speaker 1: a narrator on this TikTok and you see screenshots of 843 00:55:11,680 --> 00:55:16,400 Speaker 1: very scientific looking studies on the feed. But that doesn't 844 00:55:16,440 --> 00:55:21,239 Speaker 1: matter at all. Uh. The issue is RNA is not 845 00:55:21,800 --> 00:55:25,040 Speaker 1: an ingredient and chicken feed and it doesn't need to be. 846 00:55:25,520 --> 00:55:30,400 Speaker 1: If you wanted to inject RNA into chickens, you would 847 00:55:31,200 --> 00:55:36,399 Speaker 1: be in the catbird seat because RNA is already in chickens. Well, 848 00:55:36,440 --> 00:55:41,160 Speaker 1: I think it's more to modify MR kind of thing. Yeah, yeah, 849 00:55:41,160 --> 00:55:45,360 Speaker 1: I think there's just some disconnect in understanding here, um 850 00:55:45,360 --> 00:55:48,160 Speaker 1: in people who are you know, postulating that this is 851 00:55:48,200 --> 00:55:50,799 Speaker 1: what's happening. But I think there's also a disconnecting how 852 00:55:50,840 --> 00:55:55,120 Speaker 1: it's being explained, because yes, RNA is in everything, DNA 853 00:55:55,280 --> 00:55:59,000 Speaker 1: is in everything, but modifying it is a new technology 854 00:55:59,040 --> 00:56:03,480 Speaker 1: that has emerged, and you know, I don't know, it 855 00:56:03,520 --> 00:56:06,360 Speaker 1: does freak me out a little bit. Same not saying 856 00:56:06,400 --> 00:56:08,840 Speaker 1: I'm not saying this theory is true about the feed, 857 00:56:09,280 --> 00:56:12,600 Speaker 1: you know, changing the chickens somehow, But I think sometimes 858 00:56:12,600 --> 00:56:16,040 Speaker 1: it's being downplayed so hard by people who are like, no, 859 00:56:16,320 --> 00:56:19,120 Speaker 1: it doesn't work that way. They're kind of like not 860 00:56:19,200 --> 00:56:23,239 Speaker 1: necessarily in this post, but I don't I don't want 861 00:56:23,239 --> 00:56:25,560 Speaker 1: to make anyone feel dumb for not understanding the same 862 00:56:25,600 --> 00:56:27,480 Speaker 1: way that I don't understand that makes sense, Like I 863 00:56:27,840 --> 00:56:30,399 Speaker 1: think it's it's a it's a general lack of understanding. 864 00:56:30,400 --> 00:56:32,200 Speaker 1: And also when we have this kind of stuff that's 865 00:56:32,239 --> 00:56:35,360 Speaker 1: fast tracked, and I know it's not new technology, but 866 00:56:35,640 --> 00:56:38,920 Speaker 1: we've yet to have enough time to truly see the 867 00:56:38,960 --> 00:56:42,719 Speaker 1: implications of of of jamming the stuff into our next 868 00:56:42,920 --> 00:56:45,080 Speaker 1: you know. I mean that's the case with a lot 869 00:56:45,080 --> 00:56:47,040 Speaker 1: of this kind of thing that you know, we won't 870 00:56:47,080 --> 00:56:52,279 Speaker 1: truly see the big picture um uh results perhaps for 871 00:56:52,280 --> 00:56:54,640 Speaker 1: for many many years. And you know they say there 872 00:56:54,640 --> 00:56:58,600 Speaker 1: are none, but therein lies another example of trying to 873 00:56:58,640 --> 00:57:03,520 Speaker 1: be you know, thoughtful. He's skeptical, right exactly. And you know, 874 00:57:03,640 --> 00:57:07,640 Speaker 1: I appreciate these points because one of the things I 875 00:57:07,680 --> 00:57:11,040 Speaker 1: looked into about this, with none of us being geneticists 876 00:57:11,120 --> 00:57:14,359 Speaker 1: folks scandidly is I said, all right, well, we know 877 00:57:14,440 --> 00:57:17,880 Speaker 1: that there is some sort of regulatory body, at least 878 00:57:17,920 --> 00:57:20,480 Speaker 1: in the United States for this kind of this kind 879 00:57:20,480 --> 00:57:23,800 Speaker 1: of stuff, uh, and we know that oftentimes in the 880 00:57:23,840 --> 00:57:29,959 Speaker 1: past they've been cartoonishly crooked and easily corrupted. That's why 881 00:57:30,160 --> 00:57:32,880 Speaker 1: so many of the words on the front of your 882 00:57:33,080 --> 00:57:38,000 Speaker 1: cereal boxes don't mean dick um. But so so I 883 00:57:38,040 --> 00:57:41,640 Speaker 1: looked into this um and there are approved ingredients for 884 00:57:41,840 --> 00:57:46,520 Speaker 1: commercial feed synthetic RNA, which is what I think we're 885 00:57:46,520 --> 00:57:53,840 Speaker 1: talking about, right, lab lab modified RNA that could change, uh, 886 00:57:54,640 --> 00:57:58,160 Speaker 1: change what the chickens do biologically. That is not an 887 00:57:58,200 --> 00:58:03,200 Speaker 1: approved ingredient formmercial feed. But then again, knowing how crooked 888 00:58:03,240 --> 00:58:07,600 Speaker 1: these institutions have been in the past, or how mislead 889 00:58:07,640 --> 00:58:11,560 Speaker 1: they have been, right, Uh, it's easy to understand why 890 00:58:11,600 --> 00:58:15,080 Speaker 1: people might say, well, how much do you trust or 891 00:58:15,120 --> 00:58:18,080 Speaker 1: how much trust can you put in this? And again 892 00:58:18,160 --> 00:58:20,160 Speaker 1: this is not a dying on the U s d 893 00:58:20,160 --> 00:58:23,440 Speaker 1: A or the f d A. There are tons of 894 00:58:23,440 --> 00:58:27,440 Speaker 1: people who are getting vastly underpaid to do their absolute 895 00:58:27,440 --> 00:58:31,240 Speaker 1: best and it just happens that it just happens to 896 00:58:31,280 --> 00:58:34,440 Speaker 1: be the case that in the past, very large financial 897 00:58:34,560 --> 00:58:41,360 Speaker 1: interest have screwed over the consumer through those regulatory bodies. 898 00:58:41,880 --> 00:58:44,760 Speaker 1: Those are simply facts they conspired to do. So it's 899 00:58:44,800 --> 00:58:48,880 Speaker 1: not a theory. So you see why we have a 900 00:58:48,880 --> 00:58:51,640 Speaker 1: hard time trusting this. But also it just seems like 901 00:58:51,680 --> 00:58:56,040 Speaker 1: the the science there would have to be proven, or 902 00:58:56,120 --> 00:58:59,440 Speaker 1: the suppositions would have to be proven. And I want 903 00:58:59,480 --> 00:59:02,240 Speaker 1: to point out the ax the thing we always have 904 00:59:02,320 --> 00:59:06,400 Speaker 1: to say about sources. If you already or convinced something's up, 905 00:59:07,000 --> 00:59:10,720 Speaker 1: are you gonna believe this angry blog post by the 906 00:59:10,800 --> 00:59:15,600 Speaker 1: American Feed Industry Association of all people, after we just 907 00:59:15,840 --> 00:59:19,960 Speaker 1: dunked on the weird, weird practice of trade groups putting 908 00:59:19,960 --> 00:59:22,840 Speaker 1: out commercials for themselves, like you can see why it 909 00:59:22,880 --> 00:59:26,680 Speaker 1: would be tough to trust it, you know. And in 910 00:59:26,760 --> 00:59:29,520 Speaker 1: this in this post, and I got not a ding 911 00:59:29,560 --> 00:59:33,040 Speaker 1: on the writer who is doing nor on the experts 912 00:59:33,040 --> 00:59:37,760 Speaker 1: that she's consulting. Victoria Brome is talking with an animal 913 00:59:37,840 --> 00:59:43,960 Speaker 1: nutritionist named Paul Davis, and Paul Davis also works also 914 00:59:44,000 --> 00:59:47,080 Speaker 1: as a colleague works with the a f i A 915 00:59:48,200 --> 00:59:51,680 Speaker 1: and talks about some of these concerns and brought up 916 00:59:51,720 --> 00:59:55,520 Speaker 1: some stuff where they talk about the inner related field 917 00:59:55,560 --> 00:59:59,920 Speaker 1: of variables that can affect these things. And from Davis 918 01:00:00,280 --> 01:00:03,120 Speaker 1: we find a blog post from a guy named Jason 919 01:00:03,400 --> 01:00:08,000 Speaker 1: Lusk which points out a kind of an economic answer 920 01:00:08,240 --> 01:00:11,200 Speaker 1: and ask the question that I think haunts everybody here. 921 01:00:11,440 --> 01:00:16,720 Speaker 1: How can a small ish production in the supply of 922 01:00:16,720 --> 01:00:21,280 Speaker 1: eggs have such a big impact on the price of eggs. 923 01:00:21,720 --> 01:00:27,560 Speaker 1: Those prices, to be clear, increased six and lusk answer 924 01:00:27,840 --> 01:00:31,840 Speaker 1: is that the demand is in elastic, meaning there aren't 925 01:00:31,840 --> 01:00:36,280 Speaker 1: great substitutes for eggs, and people still buy eggs even 926 01:00:36,280 --> 01:00:39,400 Speaker 1: when prices rise, so it takes a big increase for 927 01:00:39,480 --> 01:00:43,520 Speaker 1: customers to cut back because people are again so used 928 01:00:43,520 --> 01:00:48,840 Speaker 1: to eggs. But I I gotta say that answer. It's dry. 929 01:00:48,880 --> 01:00:53,200 Speaker 1: It's as dry as overcooked scrambled eggs. Uh, And sometimes 930 01:00:53,280 --> 01:00:57,080 Speaker 1: dry answers are the truth. But it feels like there's 931 01:00:57,200 --> 01:01:01,480 Speaker 1: something to the concept of price gouging here just because 932 01:01:01,760 --> 01:01:05,040 Speaker 1: and I know we're going along, we need to wrap 933 01:01:05,120 --> 01:01:10,760 Speaker 1: this up. But so many companies have successfully gouged prices 934 01:01:10,840 --> 01:01:15,000 Speaker 1: and they didn't step them back when things started to 935 01:01:15,080 --> 01:01:18,280 Speaker 1: return to normalcy, you know what I mean, gas prices, 936 01:01:18,360 --> 01:01:22,080 Speaker 1: that's a great example. Yeah, No, the price of gasolene 937 01:01:22,120 --> 01:01:24,600 Speaker 1: does make sense there when it comes to how eggs 938 01:01:24,600 --> 01:01:28,680 Speaker 1: have continued to be expensive. But it does. I don't know. 939 01:01:29,440 --> 01:01:31,520 Speaker 1: It feels like something else is going is going on, 940 01:01:31,600 --> 01:01:37,200 Speaker 1: because I would have to believe that there's such this 941 01:01:37,360 --> 01:01:41,280 Speaker 1: large number of people reporting on social media about their 942 01:01:41,400 --> 01:01:43,919 Speaker 1: chickens not laying eggs all of a sudden, and then 943 01:01:44,040 --> 01:01:46,960 Speaker 1: changing the feet and now they're laying eggs again, I'd 944 01:01:46,960 --> 01:01:49,800 Speaker 1: have to believe they're all lying. But also there are 945 01:01:49,920 --> 01:01:52,800 Speaker 1: there also other conditions that like, you know, don't chickens 946 01:01:52,800 --> 01:01:55,960 Speaker 1: have to be kind of comfortable to lay its, Like 947 01:01:56,080 --> 01:01:59,800 Speaker 1: maybe maybe there's something to do with like climate, varia, 948 01:02:00,040 --> 01:02:04,720 Speaker 1: gens and things, other conditional changes that aren't necessarily to 949 01:02:04,760 --> 01:02:07,560 Speaker 1: do with their nutrition that could be causing some of 950 01:02:07,600 --> 01:02:16,040 Speaker 1: these shortages extreme, right, but yeah, stress, temperature, even even 951 01:02:16,280 --> 01:02:20,840 Speaker 1: changes in the chickens around them. Right, there are all 952 01:02:20,920 --> 01:02:24,600 Speaker 1: sorts of factors they can in variables they can intervene here. 953 01:02:24,920 --> 01:02:28,840 Speaker 1: But also another dangerous social media that we don't talk 954 01:02:28,880 --> 01:02:32,160 Speaker 1: about too too often is that social media is a 955 01:02:32,200 --> 01:02:39,200 Speaker 1: dopamine casino that is entirely based Yeah, tanking, and so 956 01:02:39,280 --> 01:02:44,240 Speaker 1: it is. Also it's not only it's not only plausible, 957 01:02:44,800 --> 01:02:47,760 Speaker 1: but it's almost certain that at least a few people 958 01:02:48,640 --> 01:02:52,040 Speaker 1: kind of played up some stuff. It's like a trending 959 01:02:53,040 --> 01:02:55,200 Speaker 1: topic or video or sound or one of those things. 960 01:02:55,480 --> 01:02:59,080 Speaker 1: We're learning about this a lot. Yeah, we're we're cooking 961 01:02:59,160 --> 01:03:02,919 Speaker 1: live on these uh. And I don't even like saying that. 962 01:03:03,000 --> 01:03:04,760 Speaker 1: It does have to be said, but I don't like 963 01:03:04,800 --> 01:03:09,720 Speaker 1: saying it because it sounds dangerously close to dismissing people 964 01:03:09,840 --> 01:03:13,920 Speaker 1: who were giving the genuine account of their experience. That's 965 01:03:13,920 --> 01:03:16,080 Speaker 1: not what we're doing. We're not saying everybody as a 966 01:03:16,120 --> 01:03:19,120 Speaker 1: cloud chaser. We're just saying you have to be conscious 967 01:03:19,520 --> 01:03:23,440 Speaker 1: of the dangers and pitfalls of social media. Right. But 968 01:03:23,600 --> 01:03:28,040 Speaker 1: there does I mean it is inescapable. Uh, the the 969 01:03:28,080 --> 01:03:33,960 Speaker 1: inflationary forces affecting eggs are real. Uh. The question is 970 01:03:34,080 --> 01:03:37,120 Speaker 1: what I think? The question is what kind of conspiracy 971 01:03:37,240 --> 01:03:40,840 Speaker 1: is a play? And maybe this is something our fellow 972 01:03:40,880 --> 01:03:46,960 Speaker 1: conspiracy realists can help us out with. Do you own eggs? Sorry, 973 01:03:47,000 --> 01:03:50,040 Speaker 1: that's the new flex. Hey baby, I wanted some eggs? 974 01:03:50,120 --> 01:03:54,680 Speaker 1: Check out my egg collection. Yeah, but definitely let us 975 01:03:54,720 --> 01:03:57,919 Speaker 1: know about your egg collection. Do you got any golden ones? 976 01:03:58,000 --> 01:04:03,560 Speaker 1: Perhaps some fabroge. You can find us on the internetural 977 01:04:03,600 --> 01:04:07,800 Speaker 1: We are conspiracy stuff on Facebook, Twitter, and YouTube, Conspiracy 978 01:04:07,840 --> 01:04:11,320 Speaker 1: Stuff show on Instagram, and a tickety talk. We also 979 01:04:11,360 --> 01:04:14,200 Speaker 1: have a phone number one eight three three st d 980 01:04:14,360 --> 01:04:17,160 Speaker 1: w y t K. Put it into your phone as 981 01:04:17,200 --> 01:04:19,440 Speaker 1: a contact right now. That way you'll know if one 982 01:04:19,440 --> 01:04:22,280 Speaker 1: of us gives you a call back. One day when 983 01:04:22,280 --> 01:04:24,440 Speaker 1: you do call in to leave a voicemail, give yourself 984 01:04:24,480 --> 01:04:26,919 Speaker 1: a cool nickname. We don't care what it is. You've 985 01:04:26,920 --> 01:04:28,960 Speaker 1: got three minutes to say whatever you want, as long 986 01:04:29,000 --> 01:04:31,480 Speaker 1: as you remember to say whether or not we can 987 01:04:31,600 --> 01:04:35,440 Speaker 1: use your voice and name on the air or in 988 01:04:35,480 --> 01:04:38,480 Speaker 1: our podcast. However it gets to you. If you don't 989 01:04:38,480 --> 01:04:40,000 Speaker 1: want to call, or you've got more to say they 990 01:04:40,000 --> 01:04:42,120 Speaker 1: can fit in that three minutes. Why not instead send 991 01:04:42,200 --> 01:04:45,280 Speaker 1: us a good old fashioned email. We are conspiracy i 992 01:04:45,360 --> 01:05:06,400 Speaker 1: heart radio dot com. Stuff they don't want you to 993 01:05:06,440 --> 01:05:09,200 Speaker 1: know is a production of I heart Radio. For more 994 01:05:09,240 --> 01:05:12,000 Speaker 1: podcasts from my heart Radio, visit the i heart Radio app, 995 01:05:12,080 --> 01:05:14,920 Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows.