1 00:00:01,440 --> 00:00:11,200 Speaker 1: Welcome to Stuff You Should Know, a production of iHeartRadio. 2 00:00:11,320 --> 00:00:13,840 Speaker 2: And welcome to the podcast. I'm Josh, and there's Chuck 3 00:00:13,880 --> 00:00:15,960 Speaker 2: and Jerry's here too, and this is a good old 4 00:00:16,000 --> 00:00:19,280 Speaker 2: fashioned root and tune, down home episode of Stuff. 5 00:00:18,960 --> 00:00:19,439 Speaker 3: You Should Do. 6 00:00:20,079 --> 00:00:22,360 Speaker 1: Technical difficulties, please stand by. 7 00:00:23,440 --> 00:00:26,200 Speaker 2: Yeah, we're a good twenty minutes late, Chuck. 8 00:00:26,280 --> 00:00:29,800 Speaker 1: Man, because it's about to say me, it's not my fault. 9 00:00:30,240 --> 00:00:34,760 Speaker 2: No, it's not your fault. It's the computer's fault, right. 10 00:00:35,800 --> 00:00:40,199 Speaker 1: Not even But who cares about computers? This is I mean, 11 00:00:40,240 --> 00:00:42,440 Speaker 1: this is probably literally the opposite of computers, because we're 12 00:00:42,479 --> 00:00:43,640 Speaker 1: talking about plants. 13 00:00:44,200 --> 00:00:48,280 Speaker 2: Yeah, yeah, I was gonna ask you, old school Chuck, 14 00:00:49,560 --> 00:00:51,519 Speaker 2: have you ever eaten a plant? 15 00:00:53,360 --> 00:00:56,600 Speaker 1: I love living things, so I do not kill plants and. 16 00:00:56,600 --> 00:01:02,280 Speaker 2: Eat So are you a breathetarian? That's what they are, right, yeah, 17 00:01:02,400 --> 00:01:03,440 Speaker 2: where you just don't eat. 18 00:01:05,680 --> 00:01:08,920 Speaker 1: No, of course I eat plants, you know, Emily, I 19 00:01:08,920 --> 00:01:11,920 Speaker 1: would argue it has a plant based diet. Now that 20 00:01:12,000 --> 00:01:14,920 Speaker 1: I know that a plant based diet doesn't mean that 21 00:01:14,959 --> 00:01:18,160 Speaker 1: you're vegan or vegetarian. It just and you know, as 22 00:01:18,200 --> 00:01:21,760 Speaker 1: you'll see, depending on the percentage of the website you 23 00:01:21,800 --> 00:01:24,880 Speaker 1: look at a lot of people say like you know, 24 00:01:24,880 --> 00:01:26,600 Speaker 1: it really depends on how much you eat and a 25 00:01:26,640 --> 00:01:29,840 Speaker 1: certain percentage, like maybe eighty percent of your diet is 26 00:01:29,920 --> 00:01:35,640 Speaker 1: plant based, and that's easily Emily. She eats vegetables constantly. 27 00:01:36,760 --> 00:01:38,720 Speaker 2: She always has like a radish in her hand. 28 00:01:38,959 --> 00:01:41,600 Speaker 1: No, but there's just her meals. Like her meals she'll cook, 29 00:01:41,720 --> 00:01:43,679 Speaker 1: Like we try to eat the same stuff, but I 30 00:01:43,680 --> 00:01:45,880 Speaker 1: don't want to sit down and eat Brussels sprouts, broccoli 31 00:01:45,920 --> 00:01:47,279 Speaker 1: and cauliflower for dinner. 32 00:01:47,880 --> 00:01:49,400 Speaker 2: That's a plant based diet for sure. 33 00:01:49,440 --> 00:01:51,640 Speaker 1: Yeah, but she'll throw some chicken in there and some fish, 34 00:01:51,720 --> 00:01:56,600 Speaker 1: so she's sort of pescatarian plus maybe. 35 00:01:56,600 --> 00:01:58,800 Speaker 2: Yeah, pesca poultry tarian. 36 00:01:58,960 --> 00:02:00,760 Speaker 1: Yeah, I mean there's a lot of for all this stuff. 37 00:02:00,800 --> 00:02:02,640 Speaker 1: I didn't know about a third of these probably. 38 00:02:03,400 --> 00:02:06,000 Speaker 2: Yeah, they all seem to fall under the umbrella term, 39 00:02:06,080 --> 00:02:08,120 Speaker 2: like you said, a plant based diet, so like a 40 00:02:08,240 --> 00:02:10,400 Speaker 2: vegan diet is a plant based diet, but not all 41 00:02:10,400 --> 00:02:13,400 Speaker 2: plant based diets are like vegan diets. Yeah, that kind 42 00:02:13,400 --> 00:02:13,880 Speaker 2: of set up. 43 00:02:14,040 --> 00:02:16,880 Speaker 1: I had never heard of blacktoe vegetarian, which basically means 44 00:02:17,919 --> 00:02:19,680 Speaker 1: you throw out all the rest, but I'll eat dairy. 45 00:02:20,880 --> 00:02:25,360 Speaker 2: Yeah, understandable. There's also ovo vegetarian. These are terrible names, 46 00:02:25,400 --> 00:02:29,520 Speaker 2: by the way. Yeah, that means that you include eggs 47 00:02:29,800 --> 00:02:31,280 Speaker 2: in your vegan diet. 48 00:02:31,680 --> 00:02:34,760 Speaker 1: Yeah, not oval that would make even more sense, I think. 49 00:02:35,080 --> 00:02:39,200 Speaker 2: No, it means that you include ovum in your diet. Yeah, 50 00:02:39,280 --> 00:02:41,639 Speaker 2: but I should say it's not a vegan diet at all, 51 00:02:41,680 --> 00:02:46,519 Speaker 2: Like you can't have any kind of animal products, Nope, 52 00:02:46,960 --> 00:02:50,120 Speaker 2: in a vegan diet, not just like meat or dairy 53 00:02:50,160 --> 00:02:52,800 Speaker 2: or eggs, but like vegan won't eat honey. Yeah, we 54 00:02:52,840 --> 00:02:55,720 Speaker 2: talked about fig wasps recently. They won't eat figs for 55 00:02:55,760 --> 00:02:56,320 Speaker 2: that reason. 56 00:02:56,800 --> 00:02:59,960 Speaker 1: I think some vegans I found a lot of support 57 00:03:00,080 --> 00:03:04,280 Speaker 1: behind vegan saying like a processed wasp part and a 58 00:03:04,320 --> 00:03:04,960 Speaker 1: thing is fine. 59 00:03:05,720 --> 00:03:07,960 Speaker 2: Okay, I'll bet there's some that still won't. 60 00:03:08,120 --> 00:03:08,680 Speaker 1: Oh sure. 61 00:03:10,000 --> 00:03:15,840 Speaker 2: And then there's also lacto ovo vegetarian. You're a vegetarian, 62 00:03:15,840 --> 00:03:20,959 Speaker 2: but you eat eggs and dairy. There's lacto ovo bacon vegetarian. 63 00:03:22,160 --> 00:03:25,320 Speaker 2: And then there's what you said, Emily was pescatarian, which 64 00:03:25,360 --> 00:03:28,480 Speaker 2: is general. I mean you're essentially just you know, you're 65 00:03:28,480 --> 00:03:31,239 Speaker 2: eating more vegetables than the average person at this point. 66 00:03:31,280 --> 00:03:32,359 Speaker 2: If you're a pescatarian. 67 00:03:32,400 --> 00:03:35,280 Speaker 1: I think that's right. No comment on what that does 68 00:03:35,360 --> 00:03:37,839 Speaker 1: to your butt. 69 00:03:38,640 --> 00:03:40,440 Speaker 2: What if you just eat seafood, No. 70 00:03:40,560 --> 00:03:43,760 Speaker 1: If you eat nothing but broccoli and cauliflower all day long. 71 00:03:43,880 --> 00:03:46,080 Speaker 2: Oh yeah, not just your butt, but like the well 72 00:03:46,120 --> 00:03:47,520 Speaker 2: being of people around you too. 73 00:03:47,640 --> 00:03:50,120 Speaker 1: Yeah, but it's it's very good for you. She's a 74 00:03:50,200 --> 00:03:51,960 Speaker 1: much healthier human than I am. 75 00:03:52,720 --> 00:03:56,440 Speaker 2: Nice, well, not the part that you're not as healthy, 76 00:03:56,480 --> 00:03:57,840 Speaker 2: but I'm glad that she is. 77 00:03:58,080 --> 00:04:00,600 Speaker 1: Yeah. Of course, one thing we should go out early 78 00:04:00,680 --> 00:04:04,200 Speaker 1: on is that there's a sort of exhaustive look at 79 00:04:04,400 --> 00:04:06,600 Speaker 1: how much meat people eat around the world at a 80 00:04:06,680 --> 00:04:10,720 Speaker 1: certain point or kind of pepper throughout and just for 81 00:04:10,840 --> 00:04:15,520 Speaker 1: cops purposes. In the United States, we average per capita 82 00:04:16,040 --> 00:04:19,160 Speaker 1: meat consumption between one hundred and twenty three to one 83 00:04:19,200 --> 00:04:23,080 Speaker 1: hundred and fifty ish kilograms, depending on where you're looking. 84 00:04:23,160 --> 00:04:25,600 Speaker 1: So just kind of put that in your in the back, 85 00:04:25,600 --> 00:04:28,160 Speaker 1: in your back pocket when we start talking about other countries. 86 00:04:28,800 --> 00:04:31,359 Speaker 2: Yeah, that that really kind of came home to me 87 00:04:31,440 --> 00:04:34,599 Speaker 2: when I converted it to quarter pounders. Yeah, or in 88 00:04:34,640 --> 00:04:39,559 Speaker 2: Europe royale with cheese, that's thirteen and thirty two quarter 89 00:04:39,640 --> 00:04:44,080 Speaker 2: pounders a year. That means you're eating almost four quarter 90 00:04:44,160 --> 00:04:47,720 Speaker 2: pounders worth of meat a day every year. At one 91 00:04:47,800 --> 00:04:50,080 Speaker 2: hundred and fifty one point four kilograms. 92 00:04:50,120 --> 00:04:52,640 Speaker 1: Man, if only you could do that and live. 93 00:04:53,240 --> 00:04:55,760 Speaker 2: Right, that's called heaven, my friend. 94 00:04:56,440 --> 00:04:58,719 Speaker 1: So clearly with those kind of numbers that the US 95 00:04:58,839 --> 00:05:02,720 Speaker 1: is a meat based culture. I mean, plenty of people 96 00:05:02,760 --> 00:05:04,839 Speaker 1: here do not take part in that kind of thing, obviously, 97 00:05:05,320 --> 00:05:09,480 Speaker 1: but as you'll see, many cultures around the world historically 98 00:05:09,520 --> 00:05:13,240 Speaker 1: have plant based diets and still have plant based diets. 99 00:05:13,800 --> 00:05:16,280 Speaker 1: Depending on who you ask, they might say there's about 100 00:05:16,279 --> 00:05:19,320 Speaker 1: two billion meat based eaters in the world and about 101 00:05:19,360 --> 00:05:21,320 Speaker 1: four billion plant based eaters. 102 00:05:21,800 --> 00:05:24,200 Speaker 2: Yeah, so I mean that's not too bad. They're really 103 00:05:24,200 --> 00:05:28,160 Speaker 2: holding things up because I mean, if actually that's more 104 00:05:28,240 --> 00:05:31,159 Speaker 2: than that's the majority. You're saying the majority of the 105 00:05:31,160 --> 00:05:32,520 Speaker 2: world is plant based. 106 00:05:33,279 --> 00:05:36,120 Speaker 1: I'm saying two billion and four billion. I'm not weighing 107 00:05:36,120 --> 00:05:37,120 Speaker 1: in on percentages. 108 00:05:37,600 --> 00:05:41,240 Speaker 2: Okay, yeah, we will go around the world in a minute, 109 00:05:41,279 --> 00:05:43,400 Speaker 2: but let's go through history for a little bit first. Okay, 110 00:05:43,440 --> 00:05:47,240 Speaker 2: because plant based diets, especially in the West, they're kind 111 00:05:47,240 --> 00:05:49,240 Speaker 2: of like a new thing. Maybe they came out of 112 00:05:49,240 --> 00:05:52,840 Speaker 2: the New Age movement in the seventies and eighties. No, 113 00:05:53,760 --> 00:05:56,520 Speaker 2: this is really old stuff. In fact, you can make 114 00:05:56,560 --> 00:06:00,240 Speaker 2: a really good case that plant based diets, especially a 115 00:06:00,279 --> 00:06:05,120 Speaker 2: flexitarian version, is essentially the default diet of humans. 116 00:06:05,520 --> 00:06:08,640 Speaker 1: Yeah, I mean it's in some cases were actually in 117 00:06:08,720 --> 00:06:12,280 Speaker 1: a lot of cases, especially historically speaking, and still in 118 00:06:12,279 --> 00:06:14,360 Speaker 1: some places today, it's sort of the de facto diet 119 00:06:14,400 --> 00:06:18,400 Speaker 1: because that's what you have and you may not have 120 00:06:18,440 --> 00:06:20,920 Speaker 1: the kind of money to like go get really good 121 00:06:20,920 --> 00:06:23,160 Speaker 1: meat or something like that. So if you look back 122 00:06:23,200 --> 00:06:25,920 Speaker 1: through time and you go back to say like Ireland 123 00:06:25,960 --> 00:06:29,360 Speaker 1: in the nineteenth century, before the potato famin, they were 124 00:06:29,400 --> 00:06:32,279 Speaker 1: eating tons of potatoes there, or a lot of poor 125 00:06:32,320 --> 00:06:34,760 Speaker 1: people in iron that were like, hey, we can grow potatoes, 126 00:06:35,240 --> 00:06:38,240 Speaker 1: they have some vitamins and minerals. Maybe we can milk 127 00:06:38,240 --> 00:06:41,880 Speaker 1: a cow and eat a little pickled herring, but other 128 00:06:41,960 --> 00:06:44,000 Speaker 1: than that, we're eating lots and lots of potatoes. 129 00:06:44,800 --> 00:06:47,599 Speaker 2: Yeah, for sure. This is before the famine, when a 130 00:06:47,640 --> 00:06:52,040 Speaker 2: potato blight came and when the Irish immigrants really started 131 00:06:52,040 --> 00:06:55,120 Speaker 2: to come on mass to the United States in the 132 00:06:55,640 --> 00:07:00,760 Speaker 2: nineteenth century, they were quite surprised at the abundance and 133 00:07:00,839 --> 00:07:06,000 Speaker 2: availability and cheapness of meat in the United States, and 134 00:07:06,040 --> 00:07:09,600 Speaker 2: that apparently dates back to colonial times where colonists in 135 00:07:10,480 --> 00:07:13,400 Speaker 2: well what would become the United States were eating more 136 00:07:13,480 --> 00:07:17,640 Speaker 2: meat than the average person back in England, Like they 137 00:07:17,640 --> 00:07:21,280 Speaker 2: were eating essentially the same amount of meat as elites 138 00:07:21,600 --> 00:07:25,000 Speaker 2: back in the UK. And that's the long standing thing 139 00:07:25,000 --> 00:07:31,160 Speaker 2: where meat consumption throughout history in most places is associated 140 00:07:31,200 --> 00:07:35,560 Speaker 2: with higher status and elite status. You're wealthier because it's 141 00:07:35,600 --> 00:07:38,280 Speaker 2: always been harder to come by. Well, the colonies had 142 00:07:38,320 --> 00:07:41,160 Speaker 2: a lot more land, so they could grow a lot 143 00:07:41,200 --> 00:07:43,840 Speaker 2: more livestock and then hence eat a lot more meat. 144 00:07:44,000 --> 00:07:48,200 Speaker 1: Yeah, had a lot more land, asterist, right, and yeah, 145 00:07:48,200 --> 00:07:51,080 Speaker 1: everyone knows what we mean by that. Yeah. And you 146 00:07:51,120 --> 00:07:54,360 Speaker 1: know there's who helped us with the original version of this. 147 00:07:54,520 --> 00:07:58,920 Speaker 1: Was it Libya No Laura all right? The claw Claw, 148 00:07:58,920 --> 00:08:04,040 Speaker 1: doctor Claw. She dug up a grapt basically about how 149 00:08:04,080 --> 00:08:09,520 Speaker 1: Italians eat and prior to well, not that long ago, 150 00:08:10,040 --> 00:08:12,800 Speaker 1: they ate what you would call the Mediterranean diet now, 151 00:08:12,840 --> 00:08:15,040 Speaker 1: and they just called it what we eat because that's 152 00:08:15,080 --> 00:08:21,400 Speaker 1: what's around here, the diet. Yeah, exactly, fruit, vegetables, olive oil, lagomes, fish, cereals, 153 00:08:21,720 --> 00:08:25,720 Speaker 1: not a ton of dairy or meat. But they after 154 00:08:25,880 --> 00:08:29,320 Speaker 1: I believe after World War Two, they started eating a 155 00:08:29,320 --> 00:08:32,880 Speaker 1: lot more meat. Before that, it was basically a plant 156 00:08:32,920 --> 00:08:36,960 Speaker 1: based diet because as you'll see once again, no, no, 157 00:08:36,960 --> 00:08:39,160 Speaker 1: no choke, they're eating lots of fish. Plant based diet 158 00:08:39,240 --> 00:08:42,880 Speaker 1: is we're talking about meat here. The fish get a pass. 159 00:08:42,920 --> 00:08:44,719 Speaker 1: I guess as far as plant based diet goes, it 160 00:08:44,760 --> 00:08:46,199 Speaker 1: does not mean vegetarian or vegan. 161 00:08:47,160 --> 00:08:51,160 Speaker 2: Right, And Italy followed the same trajectory that most nations 162 00:08:51,200 --> 00:08:54,120 Speaker 2: do once they reach a certain point of prosperity, meat 163 00:08:54,160 --> 00:08:58,920 Speaker 2: consumption to start going through the roof. Whereas before in 164 00:08:59,120 --> 00:09:02,680 Speaker 2: history elite like individual groups of people who are well 165 00:09:02,720 --> 00:09:05,800 Speaker 2: off or could afford beat, when an entire nation becomes 166 00:09:05,800 --> 00:09:08,920 Speaker 2: well off enough, they start buying meat. Meat consumption just 167 00:09:08,960 --> 00:09:12,720 Speaker 2: goes up. So after the war, Italy followed that. And 168 00:09:12,960 --> 00:09:17,959 Speaker 2: you'll see, like throughout throughout the world, the more prosperous 169 00:09:17,960 --> 00:09:21,080 Speaker 2: a nation, the higher their meat consumption. Yea, almost, it's 170 00:09:21,120 --> 00:09:22,800 Speaker 2: almost to a country. 171 00:09:22,640 --> 00:09:25,920 Speaker 1: Yeah, which you know, a cynic might say, well, if 172 00:09:25,920 --> 00:09:29,360 Speaker 1: every nation was prosperous, everyone would just eat tons of meat, 173 00:09:30,440 --> 00:09:32,960 Speaker 1: and it sounds cynical, but like the data sort of 174 00:09:33,280 --> 00:09:37,640 Speaker 1: says what you just said, right. You know, if you 175 00:09:37,679 --> 00:09:41,360 Speaker 1: look at the US in the nineteenth century, they were 176 00:09:41,679 --> 00:09:44,680 Speaker 1: roundly encouraging the people eat lots and lots of meat. 177 00:09:45,559 --> 00:09:47,839 Speaker 1: There was a cholera outbreak in eighteen thirty two in 178 00:09:47,880 --> 00:09:51,560 Speaker 1: the US government said eat more meat and drink more 179 00:09:51,600 --> 00:09:56,439 Speaker 1: alcohol and lay off the fruits and vegetables, obviously because 180 00:09:56,440 --> 00:09:59,559 Speaker 1: of cholera, but there was also just this idea in 181 00:09:59,600 --> 00:10:05,080 Speaker 1: America early on that like, you know, we're well fed 182 00:10:05,120 --> 00:10:07,599 Speaker 1: and we're well bred because we eat red meat and 183 00:10:08,000 --> 00:10:10,000 Speaker 1: we growing big here in the States. We're not sitting 184 00:10:10,000 --> 00:10:12,800 Speaker 1: around eating rice and grains and potatoes. 185 00:10:13,400 --> 00:10:17,480 Speaker 2: Yeah, and that diet has just spread throughout the world. 186 00:10:17,480 --> 00:10:20,440 Speaker 2: But again, it doesn't necessarily seem to mean because people 187 00:10:20,480 --> 00:10:23,240 Speaker 2: are emulating the United States. It just seems like the 188 00:10:23,360 --> 00:10:27,760 Speaker 2: United States was following a trajectory that other countries are now, right. 189 00:10:27,720 --> 00:10:30,600 Speaker 1: Yeah, and hey, what a great time to set up 190 00:10:30,640 --> 00:10:34,839 Speaker 1: where countries are now because remember those numbers I told 191 00:10:34,880 --> 00:10:36,640 Speaker 1: you about the United States. We're going to walk you 192 00:10:36,800 --> 00:10:40,320 Speaker 1: around the world. Everybody not in the way back machine. 193 00:10:41,000 --> 00:10:43,320 Speaker 1: What do we call this when we're just currently go 194 00:10:43,400 --> 00:10:54,760 Speaker 1: far machine? Yeah, the go far and wide machine. Modern day, 195 00:10:55,120 --> 00:10:56,719 Speaker 1: Jump in the go far and wide machine and come 196 00:10:56,760 --> 00:11:01,000 Speaker 1: with us at first to Africa. If you get continent wide, 197 00:11:01,559 --> 00:11:04,600 Speaker 1: the stat is about sixty five grams. I'm sorry, sixty 198 00:11:04,640 --> 00:11:10,520 Speaker 1: five kilograms of meat per capita. I wonder about that 199 00:11:10,600 --> 00:11:14,240 Speaker 1: number because if you break it down per country, South 200 00:11:14,280 --> 00:11:18,720 Speaker 1: Africa they eat about sixty five point two kilograms compared 201 00:11:18,880 --> 00:11:23,280 Speaker 1: to let's say, the Democratic Republic of Congo at just 202 00:11:23,320 --> 00:11:27,760 Speaker 1: over four kilograms. Who's eating more red meat in Africa 203 00:11:27,800 --> 00:11:30,720 Speaker 1: than South Africa to make that average sixty five? 204 00:11:31,320 --> 00:11:35,000 Speaker 2: I don't know. One thing that I recognized from researching 205 00:11:35,080 --> 00:11:38,760 Speaker 2: this is that there are so many stats that are 206 00:11:38,920 --> 00:11:42,480 Speaker 2: so different and estimates that are just so different. And 207 00:11:42,559 --> 00:11:46,000 Speaker 2: don't understand why it's so hard to track something like 208 00:11:46,120 --> 00:11:50,400 Speaker 2: meat consumption, Like we've got that so commoditized that I mean, 209 00:11:50,480 --> 00:11:52,880 Speaker 2: I don't understand how we can't track it. Even for 210 00:11:52,920 --> 00:11:56,960 Speaker 2: the United States. You rattled off three different estimates for 211 00:11:57,240 --> 00:12:00,840 Speaker 2: how much meat the United States eats, So who knows, Chuck, 212 00:12:00,960 --> 00:12:03,840 Speaker 2: Who really knows whether any of these numbers are correct 213 00:12:03,920 --> 00:12:04,160 Speaker 2: or not? 214 00:12:04,400 --> 00:12:06,520 Speaker 1: Well, no one's ever asked me how much meat I eat. 215 00:12:07,080 --> 00:12:09,320 Speaker 1: I could skew that. Oh really have you? 216 00:12:10,040 --> 00:12:10,160 Speaker 3: Oh? 217 00:12:10,240 --> 00:12:13,160 Speaker 2: I get that all the time usually because I have 218 00:12:13,240 --> 00:12:15,600 Speaker 2: like a big chunk of like steak in my teeth. 219 00:12:15,640 --> 00:12:17,680 Speaker 1: No, no, no, I mean like an official study, like 220 00:12:17,800 --> 00:12:19,520 Speaker 1: I don't know, I know, I'm just kidding do any 221 00:12:19,559 --> 00:12:22,160 Speaker 1: of that stuff. It's sort of like weird black magic 222 00:12:22,200 --> 00:12:26,160 Speaker 1: to me. But we do know that generally speaking, West 223 00:12:26,200 --> 00:12:28,920 Speaker 1: African nations eat a little more meat. It's a little 224 00:12:28,920 --> 00:12:32,880 Speaker 1: more meat heavy than East African nations. But even in 225 00:12:32,920 --> 00:12:35,439 Speaker 1: West Africa, that's again, I mean, if the average per 226 00:12:35,480 --> 00:12:39,000 Speaker 1: capita was sixty five kilograms, that's like less than half 227 00:12:39,160 --> 00:12:40,640 Speaker 1: the United States per capita. 228 00:12:41,240 --> 00:12:44,839 Speaker 2: Right, Yeah, I'm guessing from what I could tell, the 229 00:12:45,000 --> 00:12:48,640 Speaker 2: United States leads the world in meat consumption. I'm sure 230 00:12:49,120 --> 00:12:52,440 Speaker 2: most other countries, depending on where they are, are going 231 00:12:52,480 --> 00:12:54,360 Speaker 2: to eat a lot less. But again, like you said, 232 00:12:54,400 --> 00:12:57,240 Speaker 2: Africa is not some single bonolith, it has a bunch 233 00:12:57,280 --> 00:13:00,880 Speaker 2: of different variation. Asia is the same way. On the whole. 234 00:13:01,240 --> 00:13:05,120 Speaker 2: Asia eats far less meat compared to one another. Some 235 00:13:05,200 --> 00:13:07,400 Speaker 2: eat more, some eat less, and you get all sorts 236 00:13:07,440 --> 00:13:10,680 Speaker 2: of weird little statistical blips that come up from that. 237 00:13:11,240 --> 00:13:14,080 Speaker 1: Yeah. If you look at the top ten countries around 238 00:13:14,080 --> 00:13:18,040 Speaker 1: the world with the highest rates of vegetarianism, India and 239 00:13:18,040 --> 00:13:20,520 Speaker 1: Taiwan are on there. So two of the top ten 240 00:13:20,559 --> 00:13:24,800 Speaker 1: are in Asia. Japan and China. They aren't on the 241 00:13:24,840 --> 00:13:28,400 Speaker 1: list of top ten percentage vegetarian wise, but they eat 242 00:13:28,400 --> 00:13:30,760 Speaker 1: a lot less meat than the US at an average 243 00:13:30,960 --> 00:13:34,840 Speaker 1: per capita consumption under seventy five kilograms. 244 00:13:35,320 --> 00:13:37,480 Speaker 2: Yeah, and Taiwan's a good example too. It has a 245 00:13:37,640 --> 00:13:42,360 Speaker 2: very high percentage of vegetarians, but it also has a 246 00:13:42,400 --> 00:13:46,840 Speaker 2: really high per capita meat consumption too, So it's just 247 00:13:46,920 --> 00:13:48,559 Speaker 2: basically wacky over there. 248 00:13:48,920 --> 00:13:57,520 Speaker 1: Yeah, and this is another like if you look at Bangladesh, Bhutan, Nepal, Minimar, Cambodia, Indonesia, 249 00:13:57,559 --> 00:14:02,199 Speaker 1: and Vietnam, they're all under twenty kilograms and Thailand is 250 00:14:02,240 --> 00:14:05,560 Speaker 1: it like twenty five and Laos at thirty, So, I 251 00:14:05,600 --> 00:14:08,280 Speaker 1: mean that's way less than the seventy five average in 252 00:14:08,400 --> 00:14:09,199 Speaker 1: Japan and China. 253 00:14:10,040 --> 00:14:14,760 Speaker 2: Yeah, I would guess Thailand, and I'm not sure about Laos, 254 00:14:14,760 --> 00:14:20,600 Speaker 2: but I would guess Thailand is wealthier than probably memr 255 00:14:20,680 --> 00:14:24,480 Speaker 2: or Indonesia. I don't know about Vietnam, but I think 256 00:14:24,560 --> 00:14:26,960 Speaker 2: a lot of it also has to do with the religious, 257 00:14:28,400 --> 00:14:30,960 Speaker 2: like what religions are predominant there too. 258 00:14:31,280 --> 00:14:34,120 Speaker 1: Yeah, which we'll get in. Well, actually take a break 259 00:14:34,120 --> 00:14:36,080 Speaker 1: before you do that, but we'll talk about India real quick, 260 00:14:36,160 --> 00:14:40,400 Speaker 1: because they have the highest proportion of vegetarians in the world, 261 00:14:41,240 --> 00:14:44,000 Speaker 1: close to forty percent thirty eight percent. Thirty nine percent 262 00:14:44,400 --> 00:14:49,080 Speaker 1: are vegetarian in India for you know, obvious reasons, and 263 00:14:49,240 --> 00:14:53,400 Speaker 1: six point six kilograms of meat per capita compared to 264 00:14:53,440 --> 00:14:56,720 Speaker 1: as many as one hundred and fifty for the US. Yeah, exactly, 265 00:14:56,880 --> 00:14:57,880 Speaker 1: that's very low. 266 00:14:58,240 --> 00:15:01,120 Speaker 2: It is very low. I say we take a break. 267 00:15:01,320 --> 00:15:03,600 Speaker 2: We're going to come back to the studio away from 268 00:15:03,680 --> 00:15:06,320 Speaker 2: the what was it, the far Go far and wide machine. 269 00:15:06,480 --> 00:15:09,640 Speaker 1: Yeah, I love it. We're still inventing new ways to 270 00:15:09,680 --> 00:15:11,120 Speaker 1: travel in you're seventeen. 271 00:15:11,520 --> 00:15:17,360 Speaker 2: It still has that new imaginary machine smell uh Yeah. Anyway, 272 00:15:17,360 --> 00:15:19,040 Speaker 2: we're going to take a break everybody, and we'll figure 273 00:15:19,080 --> 00:15:20,440 Speaker 2: out what we're going to talk about next. 274 00:15:26,920 --> 00:15:32,560 Speaker 1: Learn and stuff with Joshua job stuff fu shine up. 275 00:15:56,320 --> 00:15:58,760 Speaker 1: All right, we're back, and we promised talk of religion 276 00:15:58,840 --> 00:16:02,520 Speaker 1: because who doesn't love that? But this is religion as 277 00:16:02,560 --> 00:16:06,360 Speaker 1: it relates to diet, because depending on your religion, there 278 00:16:06,400 --> 00:16:08,640 Speaker 1: may be a lot of you know, rules and restrictions 279 00:16:08,640 --> 00:16:11,160 Speaker 1: on what they say you should eat because of a 280 00:16:11,160 --> 00:16:15,480 Speaker 1: bunch of reasons. It can sometimes it shows like purity. 281 00:16:15,520 --> 00:16:18,040 Speaker 1: Sometimes it's like no, it shows how dedicated and faithful 282 00:16:18,120 --> 00:16:21,840 Speaker 1: you are. Sometimes it's like, hey, you get at following rules, 283 00:16:23,160 --> 00:16:25,000 Speaker 1: don't eat this on this day, and let's see how 284 00:16:25,000 --> 00:16:27,720 Speaker 1: you do with that. But for whatever reason, there are 285 00:16:27,760 --> 00:16:32,440 Speaker 1: plenty of religions that have rules sort of surrounding meat, 286 00:16:32,760 --> 00:16:33,160 Speaker 1: for sure. 287 00:16:34,040 --> 00:16:37,280 Speaker 2: Yeah, some of the most famous ones are kosher. Yeah, 288 00:16:37,320 --> 00:16:40,040 Speaker 2: that's a big one where you have to actually separate 289 00:16:40,400 --> 00:16:43,320 Speaker 2: certain kinds of food, like you separate meat, separate dairy. 290 00:16:43,720 --> 00:16:49,280 Speaker 2: There's also like restrictions and guidelines on how animals are slaughtered. 291 00:16:49,320 --> 00:16:53,920 Speaker 2: So it's not particularly vegetarian by nature keeping kosher is, 292 00:16:54,840 --> 00:16:57,000 Speaker 2: but it makes you so much more mindful that a 293 00:16:57,000 --> 00:17:01,040 Speaker 2: lot of people just eventually end up being vegetarian just 294 00:17:01,400 --> 00:17:06,600 Speaker 2: by following a kosher diet. There's also halal is very similar. 295 00:17:06,640 --> 00:17:10,159 Speaker 2: It has all sorts of permissions and bands and stuff 296 00:17:10,240 --> 00:17:12,560 Speaker 2: like that on what animals can be eaten. But it's 297 00:17:12,640 --> 00:17:15,800 Speaker 2: different in that like there's no shell fish alloutter birds 298 00:17:15,800 --> 00:17:19,320 Speaker 2: of prey, but you can eat rabbits. But they're both 299 00:17:19,800 --> 00:17:24,040 Speaker 2: similarish in that you really have to pay attention to 300 00:17:24,119 --> 00:17:27,560 Speaker 2: what you're eating if you are a genuine adherent of 301 00:17:27,600 --> 00:17:30,000 Speaker 2: this religious diet that's being prescribed to you. 302 00:17:30,359 --> 00:17:32,199 Speaker 1: Yeah, and if you're wondering, like, well, how does that 303 00:17:32,240 --> 00:17:35,720 Speaker 1: affect the rate of vegetarianism in Israel, they are second 304 00:17:35,760 --> 00:17:38,960 Speaker 1: behind India. That's not the only factor, of course, but 305 00:17:39,600 --> 00:17:43,720 Speaker 1: I think the highest percentage of veganism is in Israel too, 306 00:17:43,720 --> 00:17:47,000 Speaker 1: which is Yeah. I don't know why that surprised me, 307 00:17:47,040 --> 00:17:48,000 Speaker 1: but it did. 308 00:17:48,320 --> 00:17:54,520 Speaker 2: Okay, good noted there's I think. So this is another 309 00:17:54,560 --> 00:17:56,439 Speaker 2: thing too, like a lot of people just end up 310 00:17:56,480 --> 00:18:01,560 Speaker 2: being default vegetarians because of their religious diet. And another 311 00:18:01,560 --> 00:18:05,520 Speaker 2: good example is the Ethiopian Orthodox Christian Church, which we 312 00:18:05,560 --> 00:18:09,120 Speaker 2: talked about in our Holly Selassie episode. I think they 313 00:18:09,160 --> 00:18:11,600 Speaker 2: have two hundred days a year that are considered fast 314 00:18:11,640 --> 00:18:14,320 Speaker 2: days where you just can't eat meat but you can 315 00:18:14,440 --> 00:18:18,119 Speaker 2: eat plants. So I mean, for all intents and purposes, 316 00:18:18,200 --> 00:18:22,080 Speaker 2: you're at least the majority of the year of vegetarian 317 00:18:22,160 --> 00:18:25,719 Speaker 2: if you're Eastern Ethiopian Orthodox. 318 00:18:25,680 --> 00:18:27,800 Speaker 1: I wonder one hundred and sixty five days a year 319 00:18:27,840 --> 00:18:33,320 Speaker 1: they just party down on some steak probably what Seventh 320 00:18:33,359 --> 00:18:36,800 Speaker 1: Day Adventist. It's not a requirement to be a vegetarian, 321 00:18:36,840 --> 00:18:38,800 Speaker 1: but they're like, it's not a bad way to live. 322 00:18:38,840 --> 00:18:39,760 Speaker 1: They kind of endorse it. 323 00:18:40,200 --> 00:18:44,560 Speaker 2: Yeah, Remember they grew out of that whole William Keith 324 00:18:44,600 --> 00:18:48,920 Speaker 2: and John Kellogg movement of the nineteenth century. 325 00:18:49,240 --> 00:18:53,440 Speaker 1: Yeah, they endorse the movement generally, but about thirty six 326 00:18:53,520 --> 00:18:58,879 Speaker 1: percent end up lacto ovo vegetarians, and then sixteen percent 327 00:18:58,920 --> 00:19:01,760 Speaker 1: I'm sorry, an additional sixteen percent eat plant based diet 328 00:19:02,480 --> 00:19:05,160 Speaker 1: with maybe a little fish, maybe a little bit of meat. 329 00:19:05,640 --> 00:19:12,640 Speaker 2: Yeah. Buddhism is very connected to vegetarianism, like a straightforward 330 00:19:12,720 --> 00:19:19,280 Speaker 2: religious decree like kosher. Instead, it's linked to nonviolence, right, 331 00:19:19,359 --> 00:19:23,520 Speaker 2: So if you're your religion forbids violence, you can't really 332 00:19:24,280 --> 00:19:26,080 Speaker 2: cut the head off of a chicken and eat it 333 00:19:26,280 --> 00:19:30,680 Speaker 2: very easily. People still do in Buddhist countries, but it's 334 00:19:30,760 --> 00:19:34,239 Speaker 2: much more or it's much less common and frequent, and 335 00:19:34,280 --> 00:19:37,480 Speaker 2: in fact, apparently in Japan from six seventy five to 336 00:19:37,520 --> 00:19:42,600 Speaker 2: eighteen seventy two, meat was essentially banned in that country 337 00:19:43,200 --> 00:19:46,000 Speaker 2: because of the influence of Buddhism and Confucianism. 338 00:19:46,320 --> 00:19:48,480 Speaker 1: You gotta weight on that chicken to die of natural causes. 339 00:19:49,720 --> 00:19:52,280 Speaker 2: Just follow it around like a buzzard. 340 00:19:52,520 --> 00:19:53,600 Speaker 1: He's not looking so good. 341 00:19:55,000 --> 00:19:57,480 Speaker 2: He looks a little pekin Hindu is. 342 00:19:57,560 --> 00:19:59,560 Speaker 1: I love that word, by the way, good I'm going 343 00:19:59,640 --> 00:20:01,560 Speaker 1: I used. I heard that word last night on the 344 00:20:01,600 --> 00:20:04,120 Speaker 1: TV show The Pit, and I realized, I just don't 345 00:20:04,200 --> 00:20:04,680 Speaker 1: use it much. 346 00:20:05,280 --> 00:20:07,560 Speaker 2: You know what, I like? That's similar. It's peckish. 347 00:20:07,800 --> 00:20:08,840 Speaker 1: I like peckish as well. 348 00:20:09,160 --> 00:20:09,800 Speaker 2: Yeah, me too. 349 00:20:09,920 --> 00:20:13,160 Speaker 1: Maybe our musical duo should be peaked and peckish. 350 00:20:13,400 --> 00:20:17,160 Speaker 2: Oh my god, that is that you just won the 351 00:20:17,160 --> 00:20:19,800 Speaker 2: band name contest, Chuck for all time. 352 00:20:19,960 --> 00:20:22,080 Speaker 1: But everyone would be like who's peaked and who's peckish? 353 00:20:22,119 --> 00:20:24,320 Speaker 1: Like I think Josh is peaked and Chuck is peckish. 354 00:20:24,480 --> 00:20:26,800 Speaker 2: It wouldn't matter. We can both be would It would 355 00:20:26,840 --> 00:20:28,680 Speaker 2: depend on our mood on any given day? 356 00:20:28,960 --> 00:20:32,440 Speaker 1: Or perhaps we are both peaked and peckish. Yeah, at 357 00:20:32,480 --> 00:20:35,080 Speaker 1: all times. We're always hungry and we're always not looking 358 00:20:35,080 --> 00:20:42,080 Speaker 1: so good. Hinduism, at almost eighty percent, eats a plant 359 00:20:42,119 --> 00:20:46,560 Speaker 1: based diet, but they again, it's not required. It's just like, hey, 360 00:20:46,680 --> 00:20:49,160 Speaker 1: why don't you do this? That kind of thing. Heavily suggested. 361 00:20:49,200 --> 00:20:54,639 Speaker 2: Maybe yeah, it's also I mean, especially since the Hindu 362 00:20:54,760 --> 00:20:59,280 Speaker 2: nationalist ruling party took over the Baratiya Janata Party BJP, 363 00:21:00,160 --> 00:21:05,320 Speaker 2: they have been enforcing like really strict rules that are 364 00:21:05,440 --> 00:21:08,639 Speaker 2: Hindu in nature against eating meat, so much so that 365 00:21:08,680 --> 00:21:12,240 Speaker 2: people have been beaten. I think one person at least 366 00:21:12,240 --> 00:21:16,560 Speaker 2: has been lynched. For eating meat or being associated with 367 00:21:16,680 --> 00:21:20,800 Speaker 2: the meat trade, specifically beef, because cows are considered sacred 368 00:21:20,920 --> 00:21:30,040 Speaker 2: in Hinduism, and also similarly in India, vegetarianism is linked 369 00:21:30,040 --> 00:21:36,200 Speaker 2: to social status, in basically complete contradiction of what it's 370 00:21:36,320 --> 00:21:40,080 Speaker 2: like in say the West, where eating meat has long 371 00:21:40,119 --> 00:21:44,200 Speaker 2: been associated with being an elite or having high status. 372 00:21:44,520 --> 00:21:46,360 Speaker 2: Vegetarianism is in India. 373 00:21:46,080 --> 00:21:48,280 Speaker 1: Apparently all right, flip loped it. I love it. 374 00:21:48,560 --> 00:21:51,960 Speaker 2: Yeah, And if you're like, wow, eighty percent of Hindus 375 00:21:52,119 --> 00:21:58,200 Speaker 2: are vegetarian, it's pretty impressive. Prepare for this. Jans. These 376 00:21:58,240 --> 00:22:01,720 Speaker 2: are the people who are so against herting or killing 377 00:22:01,760 --> 00:22:04,840 Speaker 2: anything that they have little hand dust rooms that they 378 00:22:04,840 --> 00:22:07,800 Speaker 2: carry with them to dust off seats before they sit 379 00:22:07,840 --> 00:22:11,040 Speaker 2: down so they don't actually accidentally kill a bud. Ninety 380 00:22:11,040 --> 00:22:14,119 Speaker 2: two percent of them and fifty nine percent of Sikhs 381 00:22:14,280 --> 00:22:16,320 Speaker 2: in India are all vegetarians. 382 00:22:16,520 --> 00:22:19,679 Speaker 1: And I guess eight percent of Jains are bad Jaans. 383 00:22:20,119 --> 00:22:20,480 Speaker 3: I guess. 384 00:22:20,600 --> 00:22:24,000 Speaker 2: So I mean, like, how would you show up to 385 00:22:24,080 --> 00:22:26,800 Speaker 2: like the Jain meeting and show your face. 386 00:22:27,119 --> 00:22:29,720 Speaker 1: Yeah, or show up to a Jaine party with a 387 00:22:29,840 --> 00:22:34,280 Speaker 1: raka ribs. That's probably not it's probably frowned upon. 388 00:22:34,320 --> 00:22:35,439 Speaker 2: I would say, I would think so. 389 00:22:36,200 --> 00:22:38,119 Speaker 1: All right, so if and of course I'm kidding no 390 00:22:38,440 --> 00:22:39,879 Speaker 1: offense to any Jane's out. 391 00:22:39,720 --> 00:22:42,000 Speaker 2: There, No, of course not. I'm sure they'd show up 392 00:22:42,040 --> 00:22:44,479 Speaker 2: and be like natural causes everybody be all check. 393 00:22:47,880 --> 00:22:50,000 Speaker 1: So, if you're gonna eat a plant based diet, it 394 00:22:50,000 --> 00:22:51,960 Speaker 1: can look at like a It can look many different 395 00:22:52,000 --> 00:22:55,600 Speaker 1: ways depending on what you're into. We found some information 396 00:22:55,640 --> 00:22:59,440 Speaker 1: from Harvard Health. And obviously one thing that you're gonna 397 00:22:59,440 --> 00:23:02,400 Speaker 1: do is eats of veggies like Emily does. They say, like, hey, 398 00:23:02,440 --> 00:23:05,960 Speaker 1: fill half your plate up with veggies and vary the color. 399 00:23:06,000 --> 00:23:07,679 Speaker 1: Don't eat just like a bunch of green veggies. Like 400 00:23:08,040 --> 00:23:10,199 Speaker 1: eat veggies of all stripes and colors. 401 00:23:10,720 --> 00:23:13,080 Speaker 2: Get you some anthracyanins, why don't you. 402 00:23:13,200 --> 00:23:14,160 Speaker 1: Yeah. 403 00:23:14,520 --> 00:23:18,040 Speaker 2: Also the way so these are like if you want 404 00:23:18,080 --> 00:23:21,240 Speaker 2: to start to get into vegetarianism, these are some easy 405 00:23:21,280 --> 00:23:23,919 Speaker 2: ways to kind of slide into it. Another one is 406 00:23:24,280 --> 00:23:27,000 Speaker 2: changing the way that you think about meat. Rather than 407 00:23:27,600 --> 00:23:30,240 Speaker 2: it being the center or the star of the meal, 408 00:23:30,880 --> 00:23:32,679 Speaker 2: just kind of put it to the side, like it 409 00:23:32,720 --> 00:23:36,000 Speaker 2: doesn't necessarily have to be you know, a thumb sized 410 00:23:36,160 --> 00:23:39,720 Speaker 2: piece of steak, but I mean, if it more you know, 411 00:23:40,119 --> 00:23:44,720 Speaker 2: kind of evenly resembled the grain or the greens on 412 00:23:44,760 --> 00:23:47,160 Speaker 2: your plate. That would make that would make a lot 413 00:23:47,200 --> 00:23:47,680 Speaker 2: more sense. 414 00:23:47,920 --> 00:23:51,080 Speaker 1: Yeah, I'll have the cream spinach, side of bructli and 415 00:23:51,119 --> 00:23:51,960 Speaker 1: a thumb of steak. 416 00:23:52,720 --> 00:23:56,080 Speaker 2: Right, it's funny, so I used thumb. So have you 417 00:23:56,080 --> 00:23:59,399 Speaker 2: ever heard that thing about a portion of meat being 418 00:23:59,440 --> 00:24:01,399 Speaker 2: no bigger than the palm of your hand. 419 00:24:01,680 --> 00:24:04,919 Speaker 1: For like, that's the healthy way to eat meat. Yes, 420 00:24:05,880 --> 00:24:08,080 Speaker 1: I don't think I've heard that, but oh okay, I 421 00:24:08,119 --> 00:24:08,600 Speaker 1: could see that. 422 00:24:08,960 --> 00:24:10,919 Speaker 2: So not just that. If you cup your hands that 423 00:24:10,960 --> 00:24:13,400 Speaker 2: you're serving of fruit and vegetables, and then your thumb 424 00:24:13,520 --> 00:24:15,720 Speaker 2: is your measure of fats like a nut, butter or 425 00:24:15,720 --> 00:24:16,440 Speaker 2: something like that. 426 00:24:16,640 --> 00:24:16,880 Speaker 1: Good. 427 00:24:16,920 --> 00:24:20,440 Speaker 2: There's a name for all this. It's called the zimbabwe 428 00:24:20,480 --> 00:24:21,280 Speaker 2: hand jive. 429 00:24:22,920 --> 00:24:24,919 Speaker 1: I can I've done that dance, but I did not 430 00:24:25,000 --> 00:24:26,840 Speaker 1: know that was a eating scale. 431 00:24:27,160 --> 00:24:31,640 Speaker 2: Well, so this guy in nineteen ninety three, doctor Kazim Mauji, 432 00:24:32,480 --> 00:24:35,040 Speaker 2: came up with this way of doing it and it's 433 00:24:35,080 --> 00:24:37,919 Speaker 2: been widely adopted. But I had no idea that's what 434 00:24:37,960 --> 00:24:38,560 Speaker 2: it was called. 435 00:24:38,920 --> 00:24:42,520 Speaker 1: It's a great name. What I do We host a 436 00:24:42,560 --> 00:24:47,439 Speaker 1: lot of especially in the spring and summertime, of people 437 00:24:48,280 --> 00:24:50,320 Speaker 1: when we go to the lake and just at our 438 00:24:50,359 --> 00:24:52,159 Speaker 1: house here we have we throw dinner parties. We just 439 00:24:52,200 --> 00:24:54,960 Speaker 1: do a lot of that kind of stuff. And aside 440 00:24:54,960 --> 00:24:58,399 Speaker 1: from being exhausting, one thing, I'm just kidding, it's actually 441 00:24:58,400 --> 00:25:00,480 Speaker 1: a lot of fun. But one thing, yeah, I do. 442 00:25:01,280 --> 00:25:04,200 Speaker 1: And this goes along with like how you think about 443 00:25:04,240 --> 00:25:06,000 Speaker 1: meat and how much meat you have is I don't 444 00:25:06,920 --> 00:25:11,160 Speaker 1: cook up, like, you know, twenty chicken breast. If there's 445 00:25:11,200 --> 00:25:15,520 Speaker 1: twenty people there, I cook up a bunch of you know, 446 00:25:15,680 --> 00:25:19,720 Speaker 1: whatever kind of cut of chicken and or steaks. Sometimes 447 00:25:19,760 --> 00:25:21,960 Speaker 1: they'll do a couple of meats and I will just 448 00:25:22,160 --> 00:25:24,360 Speaker 1: I will slice it all up on a big platter 449 00:25:25,640 --> 00:25:28,360 Speaker 1: and then you can just get a portion of something 450 00:25:28,480 --> 00:25:31,600 Speaker 1: rather than saying, like, here's a gigantic chicken breast on 451 00:25:31,640 --> 00:25:35,359 Speaker 1: your plate that you now feel responsible for. Right, And 452 00:25:35,720 --> 00:25:38,120 Speaker 1: people seem to really like that, you know, like maybe 453 00:25:38,119 --> 00:25:39,320 Speaker 1: I'll have a little bit of this and a little 454 00:25:39,359 --> 00:25:41,960 Speaker 1: bit of that and then the rest is our veggie sides. 455 00:25:42,520 --> 00:25:42,800 Speaker 2: Nice. 456 00:25:42,960 --> 00:25:44,520 Speaker 1: Yeah, so that's a tip from Chucky. 457 00:25:44,600 --> 00:25:46,639 Speaker 2: Yeah, you should just set up a carving station and 458 00:25:46,680 --> 00:25:51,560 Speaker 2: ask to see each person's thumb, right, Yeah, that'd save 459 00:25:51,600 --> 00:25:55,760 Speaker 2: you a bunch of money totally. So let's see what 460 00:25:55,840 --> 00:25:59,960 Speaker 2: else Oh. Another good one is to choose different fats, avocados, 461 00:26:00,040 --> 00:26:03,000 Speaker 2: olive oil, stuff like that, and then just cook at 462 00:26:03,080 --> 00:26:06,879 Speaker 2: least one vegetarian meal per week. Dip your toe in 463 00:26:06,920 --> 00:26:10,240 Speaker 2: the Yeah, and if you start doing these kind of things, 464 00:26:10,240 --> 00:26:13,080 Speaker 2: it's actually really easy to find yourself down the road, 465 00:26:13,119 --> 00:26:15,560 Speaker 2: like just doing it without thinking about it, and more 466 00:26:15,600 --> 00:26:19,760 Speaker 2: and more meals throughout the week become vegetarian. Because we'll 467 00:26:19,800 --> 00:26:22,800 Speaker 2: talk in a minute about why people do this, but 468 00:26:23,200 --> 00:26:25,800 Speaker 2: a lot of people stop eating as much meat for 469 00:26:25,880 --> 00:26:29,160 Speaker 2: health reasons or because they want to lose weight. And 470 00:26:29,520 --> 00:26:31,680 Speaker 2: if you just kind of start, like you said, dip 471 00:26:31,720 --> 00:26:33,600 Speaker 2: your toe in like this, it just becomes kind of 472 00:26:33,600 --> 00:26:34,840 Speaker 2: second nature over time. 473 00:26:35,119 --> 00:26:37,720 Speaker 1: Yeah, you can get used to something like that. And 474 00:26:37,760 --> 00:26:39,600 Speaker 1: I think what you'll find if you think you need 475 00:26:39,640 --> 00:26:44,600 Speaker 1: meat because like it's more filling, that's just not true. 476 00:26:44,800 --> 00:26:48,520 Speaker 1: You get plenty full eating all that other stuff, So 477 00:26:48,680 --> 00:26:50,240 Speaker 1: you know, you can give it a whirl. I do 478 00:26:50,320 --> 00:26:53,760 Speaker 1: that stuff every now and then. Whole grains at breakfast 479 00:26:53,560 --> 00:26:56,399 Speaker 1: is great. This is basically again what Emily does. A 480 00:26:56,440 --> 00:27:01,320 Speaker 1: lot of oatmeal, buckwheat, barley, quinoa eat like a horse, 481 00:27:01,640 --> 00:27:04,119 Speaker 1: but not as much as a horse. 482 00:27:06,800 --> 00:27:08,960 Speaker 2: This is a big one. For me, chuck is eating 483 00:27:09,000 --> 00:27:12,800 Speaker 2: fruit for dessert because I don't ever eat something and 484 00:27:13,640 --> 00:27:16,600 Speaker 2: like a meal of any kind and not think like, okay, no, 485 00:27:16,720 --> 00:27:19,720 Speaker 2: I have to have something sweet. Oh really, I just 486 00:27:19,760 --> 00:27:21,679 Speaker 2: can't not do it. My brain's just as wired that 487 00:27:21,720 --> 00:27:24,439 Speaker 2: way I am too. Yeah, okay, So if you just 488 00:27:24,480 --> 00:27:27,200 Speaker 2: eat like an apple or some strawberries or something like that, 489 00:27:27,440 --> 00:27:29,880 Speaker 2: it just short circuits that. It does it for you. 490 00:27:30,280 --> 00:27:33,080 Speaker 1: Yeah, I have just retrained my brain to where I 491 00:27:33,119 --> 00:27:35,640 Speaker 1: don't seek that. And it's not like I was eating 492 00:27:35,680 --> 00:27:38,400 Speaker 1: dessert every night. Like the only time I literally have dessert, 493 00:27:38,800 --> 00:27:42,320 Speaker 1: like a dessert is kind of either if a bunch 494 00:27:42,320 --> 00:27:44,200 Speaker 1: of people are out to eat and it's an occasion 495 00:27:44,320 --> 00:27:47,280 Speaker 1: or maybe on vacation or something like that. But it's 496 00:27:47,320 --> 00:27:50,640 Speaker 1: not like even eating out in a restaurant. We never 497 00:27:50,640 --> 00:27:55,080 Speaker 1: eat dessert like that. But I have found just one 498 00:27:55,400 --> 00:27:59,440 Speaker 1: square of dark chocolate scratches that itch in a nice way. 499 00:28:00,000 --> 00:28:03,080 Speaker 2: It always feels like a punishment to me because it's 500 00:28:03,080 --> 00:28:05,600 Speaker 2: just one, just one, and it's dark chocolate. 501 00:28:06,280 --> 00:28:08,080 Speaker 1: Oh you don't like dark chocolate. 502 00:28:07,880 --> 00:28:10,960 Speaker 2: It's fine, but it's not going to short circuit that dessert. 503 00:28:12,200 --> 00:28:14,520 Speaker 1: You know what. I used to not be into dark chocolate. 504 00:28:14,520 --> 00:28:16,160 Speaker 1: But I la la la love it now. 505 00:28:16,720 --> 00:28:18,880 Speaker 2: Yeah good, I'm glad. I'm glad to hear that. I'm 506 00:28:18,920 --> 00:28:20,560 Speaker 2: going to cut the legs out from under you in 507 00:28:20,560 --> 00:28:21,320 Speaker 2: a little while then. 508 00:28:21,640 --> 00:28:23,600 Speaker 1: But I don't do that every night, but I'll still, 509 00:28:23,840 --> 00:28:25,520 Speaker 1: you know, when I want that, When I find myself 510 00:28:25,560 --> 00:28:26,959 Speaker 1: like God, I gotta have the sweet thing the night, 511 00:28:27,000 --> 00:28:29,760 Speaker 1: I'll do one square, sprinkle a couple of little dabs 512 00:28:29,760 --> 00:28:31,520 Speaker 1: of sea salt on top, and that that does it 513 00:28:31,520 --> 00:28:31,800 Speaker 1: for me. 514 00:28:32,320 --> 00:28:34,760 Speaker 2: My God, why don't you live in Brooklyn? 515 00:28:35,320 --> 00:28:40,080 Speaker 1: I know, because I don't have a manny store. Greens too, obviously, 516 00:28:40,440 --> 00:28:46,360 Speaker 1: like leafy vegetables, salads. Just eat as much stuff like 517 00:28:46,600 --> 00:28:49,320 Speaker 1: I love a salad. Emily make you know. She grows 518 00:28:49,320 --> 00:28:52,640 Speaker 1: that stuff and prepares fresh salads, makes her own salad dressing. 519 00:28:53,320 --> 00:28:55,520 Speaker 1: She's gotten more into cooking. She never used to do 520 00:28:55,560 --> 00:28:59,320 Speaker 1: stuff like that at all, but she's that. I found 521 00:28:59,320 --> 00:29:01,080 Speaker 1: myself eating a lot more salad these days. 522 00:29:01,400 --> 00:29:04,880 Speaker 2: Right. And then the last one is, after you do 523 00:29:04,960 --> 00:29:08,680 Speaker 2: all these things, eat more vegetables, eat a vegetarian meal 524 00:29:08,720 --> 00:29:12,040 Speaker 2: once a week, eat a salad for dinner. This is 525 00:29:12,160 --> 00:29:14,520 Speaker 2: actually the key to the whole thing. Go to bed 526 00:29:14,640 --> 00:29:17,520 Speaker 2: really early so that your normal breakfast will come much 527 00:29:17,560 --> 00:29:18,160 Speaker 2: more quickly. 528 00:29:19,000 --> 00:29:22,680 Speaker 1: I don't eat breakfast. But yeah, that was a joke, 529 00:29:22,760 --> 00:29:24,120 Speaker 1: by the way, I know, I get it. 530 00:29:24,560 --> 00:29:26,440 Speaker 2: Okay, well, thanks for the laugh. 531 00:29:26,520 --> 00:29:27,080 Speaker 1: Support. 532 00:29:29,120 --> 00:29:30,640 Speaker 2: You want to take a break and then come back 533 00:29:30,680 --> 00:29:34,840 Speaker 2: and talk about why people become vegetarian vegan? Sure, okay, 534 00:29:35,000 --> 00:29:36,520 Speaker 2: Well we'll be right back again. 535 00:29:42,960 --> 00:29:46,160 Speaker 1: Learn and stuff with Joshua job. 536 00:29:47,160 --> 00:30:13,680 Speaker 3: Stuff you shine up, Okay, Chuck. 537 00:30:13,880 --> 00:30:16,280 Speaker 2: I think I promised before we left that we talk 538 00:30:16,360 --> 00:30:19,800 Speaker 2: about why people become vegetarian. I already said health reasons, 539 00:30:20,080 --> 00:30:24,440 Speaker 2: which we'll get into more in a little while. But 540 00:30:24,600 --> 00:30:28,160 Speaker 2: a lot of people just do it because it's just healthier. 541 00:30:28,280 --> 00:30:31,040 Speaker 2: Like if you want to eat healthier, most people don't 542 00:30:31,080 --> 00:30:35,160 Speaker 2: like double or triple down on fried chicken, like you 543 00:30:35,280 --> 00:30:38,200 Speaker 2: instead start turning to plants, you know, like people just 544 00:30:38,240 --> 00:30:41,680 Speaker 2: start eating more plants, And it's almost intuitive. I don't 545 00:30:41,720 --> 00:30:45,160 Speaker 2: think it even has anything to do with the nutritionists 546 00:30:45,160 --> 00:30:49,000 Speaker 2: set in the United States convincing people like plants are healthy. 547 00:30:49,160 --> 00:30:52,000 Speaker 2: I just feel like we just intuitively know that that 548 00:30:52,120 --> 00:30:55,880 Speaker 2: is healthier than eating like a steak or again fried chicken, 549 00:30:56,200 --> 00:30:58,440 Speaker 2: which I feel like there's a place for fried chicken. 550 00:30:58,480 --> 00:31:01,240 Speaker 1: I'm not knocking that I mean, as you know, it's 551 00:31:01,240 --> 00:31:03,960 Speaker 1: my favorite food, and I just you know, I heard 552 00:31:04,000 --> 00:31:07,000 Speaker 1: you got to pick and choose of that stuff. But 553 00:31:07,240 --> 00:31:11,040 Speaker 1: it's not removed from my life, thank goodness. But you're 554 00:31:11,040 --> 00:31:15,040 Speaker 1: gonna get lots of vitamins and minerals and fiber and 555 00:31:15,120 --> 00:31:19,520 Speaker 1: antioxidants in your veggies if you eat legumes you eat 556 00:31:19,520 --> 00:31:21,640 Speaker 1: if you're a vegetarian, you probably eat lots of lagomes 557 00:31:21,640 --> 00:31:24,240 Speaker 1: and chick be's and lima beans and stuff like that. Soy, 558 00:31:25,000 --> 00:31:29,520 Speaker 1: you're gonna get lots of protein, amino acids, lots of 559 00:31:29,520 --> 00:31:33,360 Speaker 1: fiber and antioxidants there and also no cholesterol, which is 560 00:31:33,600 --> 00:31:38,200 Speaker 1: you know, I have cholesterol problems genetically speaking, so and 561 00:31:38,240 --> 00:31:39,520 Speaker 1: a lot of people do. So that's a good way 562 00:31:39,520 --> 00:31:40,560 Speaker 1: to get your cholesterol down. 563 00:31:41,040 --> 00:31:44,400 Speaker 2: Yeah. And there's a lot of variety in just legumes alone, 564 00:31:44,440 --> 00:31:46,520 Speaker 2: Like rather than do you want the chicken or the fish, 565 00:31:47,000 --> 00:31:50,520 Speaker 2: there's something like twenty thousand species of legumes. And I 566 00:31:50,560 --> 00:31:53,240 Speaker 2: didn't know this. I ran across this chuck. There's a 567 00:31:53,320 --> 00:31:58,560 Speaker 2: category of food called neglected and underutilized legomes. 568 00:31:58,600 --> 00:32:00,400 Speaker 1: The status lagom have. 569 00:32:00,360 --> 00:32:04,480 Speaker 2: An acronym for n ul's right, And there's apparently a 570 00:32:04,640 --> 00:32:08,240 Speaker 2: ton of legrooms that are found around the world that 571 00:32:08,320 --> 00:32:11,040 Speaker 2: are known to like local cuisine that they're just waiting 572 00:32:11,080 --> 00:32:14,280 Speaker 2: to be adopted to kind of make the plant based 573 00:32:14,320 --> 00:32:16,200 Speaker 2: diet even more varied. 574 00:32:16,520 --> 00:32:22,440 Speaker 1: Yeah, I mean there's twenty thousand. I probably have had five. Yeah, 575 00:32:23,160 --> 00:32:24,760 Speaker 1: actually maybe more, but no, no, no. 576 00:32:24,920 --> 00:32:27,120 Speaker 2: I no, I know it to mean, Yeah, I just 577 00:32:27,160 --> 00:32:28,880 Speaker 2: had a night. So one of the one of the 578 00:32:28,880 --> 00:32:32,480 Speaker 2: ones I found was the Bombara ground nut. You would 579 00:32:32,560 --> 00:32:36,760 Speaker 2: make a trillion dollars if instead of a mayonnaise operation 580 00:32:36,880 --> 00:32:39,840 Speaker 2: you opened a Bombara ground nut operation in Brooklyn. 581 00:32:40,040 --> 00:32:40,720 Speaker 1: Yeah, for sure. 582 00:32:40,760 --> 00:32:44,600 Speaker 2: I mean you would make so much cash, dude, overnight. 583 00:32:44,560 --> 00:32:45,880 Speaker 1: People just like saying ground nut. 584 00:32:46,840 --> 00:32:49,640 Speaker 2: Yeah, but that Bombara really sells the ground nut if you. 585 00:32:49,600 --> 00:32:53,000 Speaker 1: Ask me, Yeah, for sure. Obviously. You know, we've mentioned 586 00:32:53,000 --> 00:32:56,200 Speaker 1: the concerns with red meat, but with beef and pork, 587 00:32:56,880 --> 00:33:00,240 Speaker 1: people have been you know, calling for years for less 588 00:33:00,280 --> 00:33:02,280 Speaker 1: of that in your diet, and you know, health practitioners 589 00:33:02,280 --> 00:33:06,600 Speaker 1: and doctors because obviously you know, heart attack, stroke, cancer, 590 00:33:06,680 --> 00:33:10,360 Speaker 1: all the things that can lead you in that direction 591 00:33:10,400 --> 00:33:12,400 Speaker 1: once you eat too much red meat. 592 00:33:13,120 --> 00:33:17,480 Speaker 2: Yeah, and the medical consensus consensus is and remains so 593 00:33:18,200 --> 00:33:22,000 Speaker 2: that eating red meat, too much red meat is bad 594 00:33:22,040 --> 00:33:23,920 Speaker 2: for you. Like it just leads to all sorts of 595 00:33:23,960 --> 00:33:27,120 Speaker 2: negative health outcomes like stroke and heart attack, heart disease, 596 00:33:27,160 --> 00:33:32,400 Speaker 2: things like that. The problem is, despite that consensus, studies 597 00:33:32,440 --> 00:33:36,000 Speaker 2: still come out fairly regularly that question that idea, that 598 00:33:36,040 --> 00:33:38,920 Speaker 2: say no, it's not necessarily true, and they usually get 599 00:33:38,960 --> 00:33:42,760 Speaker 2: shouted down, but it's enough that it makes you, like, 600 00:33:42,840 --> 00:33:46,720 Speaker 2: some people question that. I feel like because the medical 601 00:33:46,760 --> 00:33:50,360 Speaker 2: consensus is that for now it's probably okay to kind 602 00:33:50,360 --> 00:33:54,920 Speaker 2: of follow that philosophy that less meat is healthier than 603 00:33:55,000 --> 00:33:55,520 Speaker 2: more meat. 604 00:33:56,160 --> 00:34:00,760 Speaker 1: Yeah, for sure. Another big, big reason is is animal 605 00:34:00,760 --> 00:34:03,800 Speaker 1: welfare and just maybe your moral values as a human. 606 00:34:04,400 --> 00:34:08,160 Speaker 1: That is a lot of people switch over to vegetarianism 607 00:34:08,239 --> 00:34:11,640 Speaker 1: or veganism because the modern factory farming system in the 608 00:34:11,719 --> 00:34:16,520 Speaker 1: United States is a horror show and everybody knows this. 609 00:34:16,719 --> 00:34:21,920 Speaker 1: Some people some people do it anyway, but it's a 610 00:34:21,920 --> 00:34:24,800 Speaker 1: big reason, you know, Like vegans are like, no, all 611 00:34:24,920 --> 00:34:28,320 Speaker 1: animals have a right to life and a right to freedom, 612 00:34:28,360 --> 00:34:30,759 Speaker 1: and we're not doing it right here in the United States, 613 00:34:30,760 --> 00:34:31,880 Speaker 1: so I'm not going to take part in it. 614 00:34:32,640 --> 00:34:36,560 Speaker 2: Yeah, that's a whole subcategory of veganism called ethical vegans, 615 00:34:36,640 --> 00:34:40,560 Speaker 2: and I think that they could shoulder their own episode 616 00:34:40,600 --> 00:34:44,000 Speaker 2: because the whole philosophy behind it, and like the way 617 00:34:44,040 --> 00:34:47,400 Speaker 2: that they live their lives. It's really interesting. And something 618 00:34:47,400 --> 00:34:51,200 Speaker 2: I ran across that they counter is the idea of 619 00:34:52,040 --> 00:34:56,839 Speaker 2: carnism eating meat not being normal and we just take 620 00:34:56,840 --> 00:35:01,640 Speaker 2: it for normal. And they they questioned that, They're like, 621 00:35:01,920 --> 00:35:05,160 Speaker 2: who said that eating meat is normal? And that that's 622 00:35:05,239 --> 00:35:08,520 Speaker 2: like why people why people like me can feel bad 623 00:35:08,840 --> 00:35:12,360 Speaker 2: when I pass like a truck full of cows on 624 00:35:12,400 --> 00:35:14,719 Speaker 2: their way to the slaughter on the highway and then 625 00:35:14,800 --> 00:35:18,520 Speaker 2: still go eat like a cheeseburger that same day. That 626 00:35:18,880 --> 00:35:21,480 Speaker 2: we just kind of have this idea that carnism is normal, 627 00:35:21,480 --> 00:35:23,799 Speaker 2: and vegans are like, no, that's not true. So I 628 00:35:23,800 --> 00:35:25,920 Speaker 2: found that fascinating. I kind of wanted to get into 629 00:35:26,000 --> 00:35:26,680 Speaker 2: it a little more. 630 00:35:27,120 --> 00:35:31,320 Speaker 1: Yeah, for sure, I'm not gonna tell that story. Mindful 631 00:35:31,360 --> 00:35:34,480 Speaker 1: eating is another one, which is I mean exactly what 632 00:35:34,560 --> 00:35:38,200 Speaker 1: it sounds like, just instead of like falling into a 633 00:35:38,239 --> 00:35:40,600 Speaker 1: pattern and I just I'll just eat that because that's 634 00:35:40,640 --> 00:35:44,040 Speaker 1: what I've always eaten, or you know, grabbed that thing 635 00:35:44,080 --> 00:35:48,000 Speaker 1: that's quick and brainless to put in my mouth. 636 00:35:48,040 --> 00:35:49,080 Speaker 2: Grab it by the horns. 637 00:35:49,239 --> 00:35:52,919 Speaker 1: Yeah, to really just have a heightened awareness of what 638 00:35:52,960 --> 00:35:56,640 Speaker 1: you're eating what's going in your body and every impact 639 00:35:56,719 --> 00:35:59,399 Speaker 1: from your health to what it means to the world 640 00:35:59,480 --> 00:36:02,640 Speaker 1: and to that animal. Just being more mindful is another 641 00:36:02,680 --> 00:36:04,759 Speaker 1: reason that people will go to a plant based on it. 642 00:36:05,160 --> 00:36:07,400 Speaker 2: Yeah, I think that's how people get to that from 643 00:36:07,440 --> 00:36:09,560 Speaker 2: like religious mandated diets. 644 00:36:10,000 --> 00:36:13,160 Speaker 1: Yeah, and we'll put environmentalism in its own category because 645 00:36:13,200 --> 00:36:16,000 Speaker 1: there's a whole section on that. But that's another reason. 646 00:36:16,200 --> 00:36:18,960 Speaker 2: Okay, let's pick up health outcomes. Let's dive into a 647 00:36:18,960 --> 00:36:19,520 Speaker 2: little more. 648 00:36:20,480 --> 00:36:20,560 Speaker 1: So. 649 00:36:21,880 --> 00:36:24,320 Speaker 2: One of the things that people figure out pretty quickly 650 00:36:24,320 --> 00:36:27,440 Speaker 2: when they become vegans in particular, is that you can 651 00:36:27,480 --> 00:36:32,560 Speaker 2: get really unhealthy really quick just eating food that qualifies 652 00:36:32,600 --> 00:36:36,040 Speaker 2: as vegan food. There's a ton of process vegan food 653 00:36:36,040 --> 00:36:38,880 Speaker 2: out there. A lot of times, a lot of sweetener, 654 00:36:39,000 --> 00:36:43,840 Speaker 2: including just sugar, is added, and just basically eating packaged 655 00:36:43,880 --> 00:36:46,759 Speaker 2: food or even French fries as long as they're cooked 656 00:36:46,760 --> 00:36:50,880 Speaker 2: in vegetable oil, those are vegan. And everyone knows that 657 00:36:50,920 --> 00:36:53,400 Speaker 2: French fries aren't really good for you. So there is 658 00:36:53,480 --> 00:36:57,400 Speaker 2: like a whole kind of blind alley that you have 659 00:36:57,440 --> 00:37:00,239 Speaker 2: to watch out for when you get into veganness them. 660 00:37:00,719 --> 00:37:05,520 Speaker 1: Yeah, I'm not a vegan, but it's I can still 661 00:37:05,880 --> 00:37:08,080 Speaker 1: say you know, word of caution if you go that 662 00:37:08,200 --> 00:37:12,439 Speaker 1: route that you have to be more active in meal 663 00:37:12,480 --> 00:37:14,560 Speaker 1: planning and because what you really want to do is 664 00:37:14,600 --> 00:37:17,480 Speaker 1: eat whole foods and eat real foods. So if you're 665 00:37:17,520 --> 00:37:20,640 Speaker 1: like I'm going to go vegan and just sort of 666 00:37:20,640 --> 00:37:24,520 Speaker 1: buy the ultra process stuff that is technically vegan, you're 667 00:37:24,520 --> 00:37:27,480 Speaker 1: not doing yourself any health favors. I mean, you know 668 00:37:27,520 --> 00:37:30,239 Speaker 1: you're still doing and you know, as far as your 669 00:37:30,280 --> 00:37:32,560 Speaker 1: moral values are concerned, you're doing right by that. But 670 00:37:33,480 --> 00:37:35,560 Speaker 1: you want good outcomes all the way around, So just 671 00:37:35,640 --> 00:37:39,800 Speaker 1: lean toward whole foods and the Mediterranean diet, which again 672 00:37:40,360 --> 00:37:43,920 Speaker 1: people around the Mediterranean just call it eating that has 673 00:37:44,080 --> 00:37:48,120 Speaker 1: roundly been shown over the years to be kind of 674 00:37:48,160 --> 00:37:51,680 Speaker 1: the one of the ideal diets that you can lean toward. 675 00:37:52,320 --> 00:37:54,920 Speaker 2: I would say the ideal diet. I mean as far 676 00:37:54,960 --> 00:37:57,719 Speaker 2: as health outcomes go, like I can't imagine how much 677 00:37:57,840 --> 00:38:02,680 Speaker 2: this diet has been studied and result after results shows 678 00:38:02,719 --> 00:38:08,560 Speaker 2: that like some kinds of cancers, diabetes, cognitive decline, cardiovascular disease, 679 00:38:09,400 --> 00:38:12,160 Speaker 2: like these things are all lower in people who eat 680 00:38:12,200 --> 00:38:15,120 Speaker 2: like a Mediterranean diet, like that's just what they eat 681 00:38:15,360 --> 00:38:18,520 Speaker 2: than people who don't, especially regular meat. 682 00:38:18,320 --> 00:38:22,960 Speaker 1: Eaters, Yeah, for sure. As far as the endividual, you know, 683 00:38:23,440 --> 00:38:25,160 Speaker 1: we'll kind of go through a little bit about like 684 00:38:25,600 --> 00:38:29,759 Speaker 1: who's deficient in what depending on what you eat. If 685 00:38:29,800 --> 00:38:33,680 Speaker 1: you're looking at protein and saturated fat, you're going to 686 00:38:33,719 --> 00:38:35,880 Speaker 1: have obviously, if you're a meat eater, you're going to 687 00:38:35,920 --> 00:38:39,279 Speaker 1: have the highest intake among anyone, and the lowest is 688 00:38:39,280 --> 00:38:41,239 Speaker 1: going to be among vegans. That's just makes a lot 689 00:38:41,280 --> 00:38:43,839 Speaker 1: of sense. If you're a vegetarian or a fish eater, 690 00:38:43,880 --> 00:38:47,080 Speaker 1: you're gonna be somewhere in the middle. And vegetarians are 691 00:38:47,600 --> 00:38:50,600 Speaker 1: more likely than meat or fish eaters to have as 692 00:38:50,640 --> 00:38:55,080 Speaker 1: a result, inadequate protein intake, and vegans even more likely 693 00:38:55,120 --> 00:38:58,640 Speaker 1: to have inadequate protein intake, I think, more than vegetarians. 694 00:38:59,040 --> 00:39:01,160 Speaker 2: Yeah, that's a long scene in Chestnut in like the 695 00:39:02,160 --> 00:39:05,040 Speaker 2: I guess I don't want to say bodybuilding communities, people 696 00:39:05,040 --> 00:39:08,279 Speaker 2: who work out like hardcore that you can't possibly be 697 00:39:08,880 --> 00:39:12,840 Speaker 2: ripped as a vegan and our stuff you should know. 698 00:39:12,960 --> 00:39:17,040 Speaker 2: Listener Doyle Wolfgang van Frankenstein, the guitarist for the Misfits. 699 00:39:17,560 --> 00:39:20,920 Speaker 2: He is just vegan to the core and he is 700 00:39:21,080 --> 00:39:23,760 Speaker 2: totally ripped, and in fact, he has his own protein 701 00:39:23,800 --> 00:39:29,360 Speaker 2: powder called vegan monster protein where you can get ripped 702 00:39:29,400 --> 00:39:31,560 Speaker 2: yourself if you want to and still be a vegan. 703 00:39:32,040 --> 00:39:34,680 Speaker 1: I think ripped vegan is that's got to already be 704 00:39:34,719 --> 00:39:35,200 Speaker 1: a band name. 705 00:39:36,360 --> 00:39:38,640 Speaker 2: Oh I wouldn't. Yeah, maybe that's his sideban his folk 706 00:39:38,800 --> 00:39:39,560 Speaker 2: side band. 707 00:39:39,960 --> 00:39:46,400 Speaker 1: Ripped vecan. You might have a vitamin B twelve deficiency 708 00:39:46,560 --> 00:39:50,760 Speaker 1: if you are a vegan, because plants don't have B twelve. 709 00:39:51,560 --> 00:39:54,520 Speaker 1: I think fifty two percent of vegans are B twelve deficient, 710 00:39:55,840 --> 00:39:58,600 Speaker 1: seven percent of vegetarians, and if you're a meat eater, 711 00:39:58,719 --> 00:40:00,600 Speaker 1: you have a less than one percent of being B 712 00:40:00,680 --> 00:40:01,360 Speaker 1: twelve deficient. 713 00:40:01,480 --> 00:40:03,360 Speaker 2: And that's a big deal too. I mean, like that 714 00:40:03,480 --> 00:40:07,200 Speaker 2: is a well known problem for vegans and vegetarians because 715 00:40:07,680 --> 00:40:10,920 Speaker 2: B twelve is used for red blood cell production, cell 716 00:40:10,960 --> 00:40:15,120 Speaker 2: wall production, nerve function, DNA production, and it's just not 717 00:40:15,360 --> 00:40:18,160 Speaker 2: in plants. It's in meat, it's in fish, it's in dairy. 718 00:40:18,560 --> 00:40:20,520 Speaker 2: So you really have to pay attention to that and 719 00:40:20,960 --> 00:40:23,520 Speaker 2: basically take B twelve supplements all the time to make 720 00:40:23,560 --> 00:40:26,280 Speaker 2: sure you don't become deficient because it's not good. 721 00:40:26,800 --> 00:40:30,080 Speaker 1: Yeah for sure. Here's one thing though, and this is 722 00:40:30,160 --> 00:40:32,920 Speaker 1: something that was controlled for BMI. Even if you're a 723 00:40:33,000 --> 00:40:36,799 Speaker 1: vegetarian or vegan, you have a kind of a remarkably 724 00:40:37,400 --> 00:40:42,120 Speaker 1: a remarkable statistical risk or higher risk I guess, of 725 00:40:42,440 --> 00:40:46,160 Speaker 1: getting bone fracture than meat eater, and especially when it 726 00:40:46,200 --> 00:40:49,959 Speaker 1: comes to your hips, the risk of hip fracture. With vegetarians, 727 00:40:50,000 --> 00:40:52,720 Speaker 1: you have a twenty five percent higher risk of fracturing 728 00:40:52,760 --> 00:40:56,640 Speaker 1: your hip as a vegetarian controlling for BMI again, and 729 00:40:56,719 --> 00:41:00,160 Speaker 1: vegans one hundred and thirty one percent higher chance of 730 00:41:00,200 --> 00:41:00,880 Speaker 1: hip fracture. 731 00:41:01,400 --> 00:41:04,799 Speaker 2: Yeah. I so part of it is that B twelve deficiency, 732 00:41:04,840 --> 00:41:08,880 Speaker 2: because B twelve helps produce bone and so bone density. 733 00:41:09,160 --> 00:41:12,440 Speaker 2: But I also wondered if vegans typically get less protein 734 00:41:12,800 --> 00:41:16,080 Speaker 2: and therefore have less muscle mass on average. Obviously you 735 00:41:16,120 --> 00:41:18,399 Speaker 2: can get ripped as a vegan, but not everyone does. 736 00:41:19,000 --> 00:41:22,120 Speaker 2: If you're more susceptible to falling, like you can lose 737 00:41:22,120 --> 00:41:24,720 Speaker 2: your balance more easily because you have slightly less muscle 738 00:41:24,719 --> 00:41:28,160 Speaker 2: mass than a meat eater, and then with less bone density, 739 00:41:28,480 --> 00:41:30,800 Speaker 2: if you do fall, you're more likely to break a bone. 740 00:41:31,360 --> 00:41:34,720 Speaker 1: Just my Yeah, I wonder, Yeah, yeah, I did mention cancer. 741 00:41:34,760 --> 00:41:37,040 Speaker 1: You know, I think we all often talk about like 742 00:41:37,080 --> 00:41:40,040 Speaker 1: heart attack and stroke and stuff like that by eating 743 00:41:40,040 --> 00:41:43,360 Speaker 1: too much red meat. But cancer is another factor that 744 00:41:43,400 --> 00:41:45,719 Speaker 1: I sort of briefly mentioned, but if you're a vegetarian 745 00:41:45,760 --> 00:41:48,520 Speaker 1: or a vegan, you have at ten to eighteen percent 746 00:41:48,920 --> 00:41:55,040 Speaker 1: lower risk of cancer than meat eaters. Although All calls 747 00:41:55,680 --> 00:41:58,560 Speaker 1: All calls mortality. That's another good band name. Man, that's 748 00:41:58,640 --> 00:41:59,920 Speaker 1: three band names. 749 00:42:00,480 --> 00:42:05,600 Speaker 2: All Mortality, Pekish, and peakd All calls. 750 00:42:05,800 --> 00:42:08,399 Speaker 1: See that can't be our band name because I can't 751 00:42:08,400 --> 00:42:10,840 Speaker 1: even say it. At the end of the show, All 752 00:42:11,520 --> 00:42:18,000 Speaker 1: cause mortality was not different, which is surprising between vegetarians 753 00:42:18,000 --> 00:42:19,120 Speaker 1: and meat eaters and vegans. 754 00:42:19,400 --> 00:42:22,440 Speaker 2: Yeah, another thing that surprised me is that vegetarians have 755 00:42:22,520 --> 00:42:26,560 Speaker 2: a twenty percent higher risk of having a hemorrhagic stroke. 756 00:42:28,280 --> 00:42:30,480 Speaker 2: So we should say all of this data came from 757 00:42:30,480 --> 00:42:35,160 Speaker 2: a twenty twenty one analysis of this British cohort of 758 00:42:35,239 --> 00:42:39,160 Speaker 2: sixty five thousand Brits that have been followed around since 759 00:42:39,200 --> 00:42:42,760 Speaker 2: the nineties. So they managed to look at twenty thousand vegetarians, 760 00:42:43,080 --> 00:42:45,919 Speaker 2: so this is a pretty robust study and they found 761 00:42:45,920 --> 00:42:48,920 Speaker 2: that they have a twenty percent higher risk of stroke. 762 00:42:49,120 --> 00:42:52,680 Speaker 2: They couldn't they couldn't determine that for vegans. I think 763 00:42:52,680 --> 00:42:54,920 Speaker 2: they only had like twenty five hundred in this cohort 764 00:42:55,320 --> 00:42:58,480 Speaker 2: but for stroke at least, they weren't able to figure 765 00:42:58,480 --> 00:43:01,239 Speaker 2: out how that affects vegan, and you would assume that 766 00:43:01,320 --> 00:43:03,719 Speaker 2: it would be even an even higher percentage for me. 767 00:43:04,520 --> 00:43:08,759 Speaker 2: But a hemorrhagic hemorrhagic stroke is where blood vessels in 768 00:43:08,800 --> 00:43:12,480 Speaker 2: your brain start bleeding. Again, that would make sense because 769 00:43:12,520 --> 00:43:18,600 Speaker 2: B twelve helps fortify sell walls, and I would think 770 00:43:18,680 --> 00:43:21,080 Speaker 2: the lack of red blood cell production would have something 771 00:43:21,080 --> 00:43:23,439 Speaker 2: to do with that too. So I think what we're 772 00:43:23,440 --> 00:43:25,400 Speaker 2: trying to say the upshot is is it's not just 773 00:43:25,480 --> 00:43:27,840 Speaker 2: like a slam dunk that you're going to be healthier 774 00:43:27,920 --> 00:43:31,760 Speaker 2: or your lifetime health outcomes are automatically going to be better. 775 00:43:32,880 --> 00:43:37,320 Speaker 2: But it's still I mean, it's just if your overall 776 00:43:37,600 --> 00:43:41,040 Speaker 2: or sorry, if you're all dash cause mortality is going 777 00:43:41,080 --> 00:43:43,719 Speaker 2: to be the same, then I don't know, I think 778 00:43:43,719 --> 00:43:46,200 Speaker 2: that kind of makes an argument to eat whichever makes 779 00:43:46,200 --> 00:43:46,880 Speaker 2: you feel best. 780 00:43:47,520 --> 00:43:53,040 Speaker 1: Yeah, that's just a weird stat Yeah all dash cause Yeah, 781 00:43:53,080 --> 00:43:55,000 Speaker 1: I don't know. I can't explain that. Maybe someone will 782 00:43:55,000 --> 00:43:57,880 Speaker 1: have some more information on that. But earlier we did 783 00:43:57,960 --> 00:44:02,480 Speaker 1: promise an entire section on the invironmental impact of eating 784 00:44:02,520 --> 00:44:06,640 Speaker 1: animals because that is yet another reason and you know, 785 00:44:06,680 --> 00:44:08,759 Speaker 1: obviously people have all kinds of reasons, and it's usually 786 00:44:08,760 --> 00:44:11,880 Speaker 1: a combination of all these things. But we were learning 787 00:44:12,280 --> 00:44:15,960 Speaker 1: just it's become plainly obvious more and more this isn't 788 00:44:15,960 --> 00:44:17,840 Speaker 1: the kind of thing. I think that, especially in America, 789 00:44:17,880 --> 00:44:19,840 Speaker 1: people like to look at a lot in the past, 790 00:44:20,520 --> 00:44:23,640 Speaker 1: but it seems like in the last like fifteen years 791 00:44:23,719 --> 00:44:27,360 Speaker 1: or so, people are sounding the alarm like, hey, besides 792 00:44:27,440 --> 00:44:30,560 Speaker 1: ethical concerns and health and all that other stuff, like 793 00:44:30,719 --> 00:44:33,600 Speaker 1: raising animals is to eat is kind of a or 794 00:44:33,840 --> 00:44:36,360 Speaker 1: the way we do it as a disaster for the environment. 795 00:44:37,200 --> 00:44:39,759 Speaker 2: Yeah. So there's a lot of misleading stats out there 796 00:44:39,760 --> 00:44:45,960 Speaker 2: that compare the amount of kilograms of greenhouse gas emissions 797 00:44:46,600 --> 00:44:50,840 Speaker 2: compared to the kilograms produced of something. Right, that doesn't 798 00:44:50,840 --> 00:44:55,319 Speaker 2: make any sense because kilogram of broccoli is a lot 799 00:44:55,440 --> 00:45:00,719 Speaker 2: less as far as food being spread among people kilogram 800 00:45:00,760 --> 00:45:03,600 Speaker 2: two point two pounds of beef. Right, you can feed 801 00:45:03,640 --> 00:45:06,120 Speaker 2: way more people with two point two pounds of beef 802 00:45:06,160 --> 00:45:08,360 Speaker 2: than you can with two point two pounds of broccoli. 803 00:45:08,560 --> 00:45:13,920 Speaker 2: So I get exactly at best. Yeah, But so some 804 00:45:13,960 --> 00:45:16,319 Speaker 2: people have said, well, let's just alter it a little bit, 805 00:45:16,400 --> 00:45:20,400 Speaker 2: so we'll measure the kilograms of greenhouse gas emissions for 806 00:45:20,520 --> 00:45:24,360 Speaker 2: every thousand calories produced, and so that makes it a 807 00:45:24,360 --> 00:45:28,480 Speaker 2: lot more apples to apples comparison. But even still, when 808 00:45:28,480 --> 00:45:31,799 Speaker 2: you alter it like that, the numbers essentially come out 809 00:45:31,840 --> 00:45:36,040 Speaker 2: the same, which is that meat production has a much 810 00:45:36,120 --> 00:45:40,200 Speaker 2: larger carbon footprint than almost any kind of plant production, 811 00:45:40,480 --> 00:45:43,440 Speaker 2: although there are some surprises like, for example, your beloved 812 00:45:43,520 --> 00:45:47,600 Speaker 2: dark chocolate has a larger carbon footprint than producing poultry 813 00:45:47,800 --> 00:45:50,080 Speaker 2: or pork chuck. How do you feel about your dark 814 00:45:50,160 --> 00:45:51,480 Speaker 2: chocolate assault on top of it? 815 00:45:51,560 --> 00:45:56,040 Speaker 1: Now, I didn't kill that chocolate. You know, coffee and 816 00:45:56,120 --> 00:46:02,319 Speaker 1: chocolate are two pretty notorious you know, environmental disasters as 817 00:46:02,320 --> 00:46:04,719 Speaker 1: well on the on the non meat side for sure. 818 00:46:05,440 --> 00:46:09,279 Speaker 2: For sure. The reason why, apparently is demand. There's so 819 00:46:09,360 --> 00:46:13,000 Speaker 2: much demand for chocolate that the deforestation that results to 820 00:46:13,080 --> 00:46:18,600 Speaker 2: create more fields for cocoa production, that that just is 821 00:46:18,680 --> 00:46:20,680 Speaker 2: what's giving it such a huge footprint. And I think 822 00:46:20,760 --> 00:46:22,680 Speaker 2: coffee is relatively the same. 823 00:46:24,760 --> 00:46:25,200 Speaker 3: Overall. 824 00:46:25,280 --> 00:46:25,440 Speaker 1: Though. 825 00:46:25,560 --> 00:46:28,920 Speaker 2: I found a twenty nineteen study from Sustainability the Journal, 826 00:46:29,440 --> 00:46:33,840 Speaker 2: and they basically said thirty vegetarians have thirty three percent 827 00:46:34,000 --> 00:46:37,640 Speaker 2: lower greenhouse gas emissions based on their diet than a 828 00:46:37,760 --> 00:46:41,359 Speaker 2: vegan than meat, and a vegan diet has fifty three 829 00:46:41,360 --> 00:46:44,920 Speaker 2: percent lower greenhouse gas emissions. It's just that's just how 830 00:46:44,920 --> 00:46:45,360 Speaker 2: it goes. 831 00:46:46,400 --> 00:46:49,520 Speaker 1: Yeah, And if you're like, well, I like eating some meat, 832 00:46:50,560 --> 00:46:53,960 Speaker 1: the biggest s afenders there are beef, lamb and mutton. 833 00:46:54,480 --> 00:46:55,680 Speaker 2: Yeah, I thought that was weird. 834 00:46:56,680 --> 00:47:02,239 Speaker 1: Beef produces sixty kilograms of greenhouse gas per kilogram, and 835 00:47:02,320 --> 00:47:07,640 Speaker 1: a kilogram of poultry is only six. But you compare 836 00:47:07,680 --> 00:47:11,359 Speaker 1: that to a kilogram with just some English peas, that's 837 00:47:11,440 --> 00:47:15,040 Speaker 1: under one kilogram of greenhouse gas emissions produced. So you 838 00:47:15,120 --> 00:47:17,560 Speaker 1: might think that as far as water consumption goes, the 839 00:47:17,600 --> 00:47:21,440 Speaker 1: plants would far outpace like a meat diet because you 840 00:47:21,480 --> 00:47:24,960 Speaker 1: got a water vegetables. But generally there are just a 841 00:47:24,960 --> 00:47:27,480 Speaker 1: few plant based foods that have a bigger water footprint 842 00:47:27,760 --> 00:47:28,680 Speaker 1: than beef. 843 00:47:29,600 --> 00:47:33,480 Speaker 2: Yeah, beef is just the worst offender of all, but livestock. 844 00:47:33,560 --> 00:47:37,520 Speaker 2: Raising livestock in general, apparently one fifth to one quarter 845 00:47:38,040 --> 00:47:41,279 Speaker 2: of all the water used by humans goes to raising livestock, 846 00:47:42,480 --> 00:47:45,200 Speaker 2: which is nuts. But the reason why is because not 847 00:47:45,239 --> 00:47:47,799 Speaker 2: only do you need water to keep that head of 848 00:47:47,880 --> 00:47:51,320 Speaker 2: cattle alive until you decide to kill it, you also 849 00:47:51,360 --> 00:47:53,359 Speaker 2: need water to grow the grain that you feed that 850 00:47:53,600 --> 00:47:57,560 Speaker 2: head of cattle. So they're just consuming all over the place, 851 00:47:57,680 --> 00:47:59,640 Speaker 2: especially as far as water is concerned. 852 00:48:00,239 --> 00:48:03,080 Speaker 1: Yeah, and just so you know, there are like zero 853 00:48:03,920 --> 00:48:07,400 Speaker 1: sort of vegetables that out paste beef. The two that 854 00:48:07,480 --> 00:48:09,160 Speaker 1: do out paste beef that I was referring to our 855 00:48:09,200 --> 00:48:10,760 Speaker 1: chocolate and almonds. 856 00:48:11,360 --> 00:48:14,400 Speaker 2: Yeah, and who considers an almond of vegetable? Come on, 857 00:48:14,480 --> 00:48:15,000 Speaker 2: give it up. 858 00:48:15,520 --> 00:48:16,960 Speaker 1: And I think as far as lamb and mutton go, 859 00:48:17,120 --> 00:48:21,839 Speaker 1: the two other biggest defenders in the meat category, only cashews, pistachios, 860 00:48:21,880 --> 00:48:25,920 Speaker 1: and hazel nuts consume more water to produce than lamb 861 00:48:26,000 --> 00:48:26,680 Speaker 1: and mutton. 862 00:48:27,000 --> 00:48:29,320 Speaker 2: Hazel Nuts are so great, far and away the best. 863 00:48:29,239 --> 00:48:31,919 Speaker 1: Nut, you think, not the ground nut. 864 00:48:32,880 --> 00:48:35,319 Speaker 2: I haven't had one yet. Well, peanuts apparently are a 865 00:48:35,360 --> 00:48:38,080 Speaker 2: ground nut. I have not had the bombara ground nut yet, 866 00:48:38,120 --> 00:48:40,560 Speaker 2: so I should wait and reserve judgment. 867 00:48:40,880 --> 00:48:43,000 Speaker 1: Yeah, peanuts they grow underground. 868 00:48:42,560 --> 00:48:44,480 Speaker 2: Right, Yep, they're a ground nut. 869 00:48:44,920 --> 00:48:47,560 Speaker 1: I can just see Jimmy Carter holding a big thing 870 00:48:47,600 --> 00:48:49,879 Speaker 1: of peanuts and roots with dirt falling off of them. 871 00:48:50,000 --> 00:48:51,879 Speaker 2: All right, Pete and God bless that man. 872 00:48:52,280 --> 00:48:57,720 Speaker 1: That's right. The US maintains about nine billion, nine billion 873 00:48:57,760 --> 00:49:01,880 Speaker 1: livestock to get the meat that it needs or wants. 874 00:49:01,920 --> 00:49:04,160 Speaker 1: I guess is the better way to say it. And 875 00:49:04,200 --> 00:49:08,120 Speaker 1: if that grain went to humans, it'd be enough for 876 00:49:08,200 --> 00:49:11,400 Speaker 1: eight hundred and forty million people that have plant based diets. 877 00:49:12,400 --> 00:49:12,760 Speaker 3: Yes. 878 00:49:13,239 --> 00:49:15,600 Speaker 2: And there was another thing that I came across that 879 00:49:15,640 --> 00:49:19,080 Speaker 2: I was kind of surprised by totally makes sense, is 880 00:49:19,120 --> 00:49:24,279 Speaker 2: if we en mass as a species, humans essentially abandoned 881 00:49:24,600 --> 00:49:28,520 Speaker 2: livestock production, beef production, or meat production in favor of 882 00:49:28,600 --> 00:49:32,480 Speaker 2: a plant based diet. Just basically globally, the chance of 883 00:49:32,560 --> 00:49:38,640 Speaker 2: communicable diseases developing would drop drastically because seventy five percent 884 00:49:38,719 --> 00:49:42,399 Speaker 2: of emerging communicable diseases are zoonotic, which means humans get 885 00:49:42,440 --> 00:49:45,719 Speaker 2: them from animals, and we make our closest contact with 886 00:49:45,800 --> 00:49:48,640 Speaker 2: animals through the livestock industry. 887 00:49:49,360 --> 00:49:50,920 Speaker 1: Yeah, and a petting zeus. 888 00:49:51,320 --> 00:49:54,279 Speaker 2: Yeah. I mean, as long as it wasn't grown in 889 00:49:54,280 --> 00:49:57,600 Speaker 2: a lab, you can kiss communicable diseases goodbye. 890 00:49:57,880 --> 00:50:01,759 Speaker 1: Yeah. The other environment little disaster of raising livestock, and 891 00:50:02,080 --> 00:50:05,840 Speaker 1: this is more and more lately, is the habitat destruction 892 00:50:06,000 --> 00:50:09,799 Speaker 1: to raise all these animals. You're talking about extinction of 893 00:50:10,760 --> 00:50:14,560 Speaker 1: plant and animal species and thousands more being threatened in 894 00:50:14,600 --> 00:50:19,520 Speaker 1: the year's upcoming because of habitat destruction. And it's also 895 00:50:19,560 --> 00:50:21,799 Speaker 1: true for some kinds of agriculture. You know, we've talked 896 00:50:21,840 --> 00:50:26,120 Speaker 1: about palm oil cultivation being a big problem for a 897 00:50:26,160 --> 00:50:30,440 Speaker 1: lot of stuff, specifically orangutang populations or at least by example, 898 00:50:31,600 --> 00:50:34,919 Speaker 1: but beef, once again, is the biggest factor. They drive 899 00:50:35,000 --> 00:50:40,759 Speaker 1: forty Beef drives forty percent of tropical deforestation globally, whereas 900 00:50:41,440 --> 00:50:44,000 Speaker 1: palm oil and soy, which are two sort offenders on 901 00:50:44,040 --> 00:50:46,080 Speaker 1: the other side, are only eighteen percent combined. 902 00:50:46,400 --> 00:50:48,560 Speaker 2: That's all just eighteen percent of deforestation. 903 00:50:48,960 --> 00:50:52,000 Speaker 1: Yeah, but I mean the one takeaway here is beef 904 00:50:52,960 --> 00:50:53,600 Speaker 1: beef bad. 905 00:50:54,040 --> 00:50:56,560 Speaker 2: It's what's for dinner and what ruined the planet. 906 00:50:57,040 --> 00:51:00,120 Speaker 1: Yeah, I mean it's it's far and away leading the 907 00:51:00,160 --> 00:51:02,000 Speaker 1: way in all all the bad categories. 908 00:51:02,040 --> 00:51:03,239 Speaker 2: You know, it really does. 909 00:51:04,040 --> 00:51:04,120 Speaker 3: So. 910 00:51:04,400 --> 00:51:06,960 Speaker 2: Yeah, I mean this is we've just kind of touched 911 00:51:06,960 --> 00:51:10,000 Speaker 2: the surface, especially on the environmental impact. There's a lot 912 00:51:10,040 --> 00:51:14,279 Speaker 2: to dig into there if that interested you. But I 913 00:51:14,560 --> 00:51:16,719 Speaker 2: feel like we gave some good reasons for people to 914 00:51:16,800 --> 00:51:19,960 Speaker 2: adopt a plant based diet. I don't know if I'm 915 00:51:20,040 --> 00:51:22,640 Speaker 2: going too fully, but i'd like to think it's I'm 916 00:51:22,719 --> 00:51:24,200 Speaker 2: kind of part way there already. 917 00:51:24,800 --> 00:51:27,759 Speaker 1: Yeah, I eat more vegetables now. I eat way less 918 00:51:27,800 --> 00:51:31,880 Speaker 1: red meat than I used to. Yeah, for just like 919 00:51:32,400 --> 00:51:33,720 Speaker 1: all the reasons that we talked about. 920 00:51:34,040 --> 00:51:36,799 Speaker 2: Yeah, I've cut my four quarter pounders with cheese every 921 00:51:36,880 --> 00:51:42,359 Speaker 2: day in half and I eat both halves. Since Chuck 922 00:51:42,480 --> 00:51:44,920 Speaker 2: kind of laughed at my last joke, I think everybody 923 00:51:44,920 --> 00:51:47,840 Speaker 2: that means we should probably slog along to listener Mayil. 924 00:51:50,239 --> 00:51:52,399 Speaker 1: That was a real laugh. That was an oh Josh laugh. 925 00:51:52,600 --> 00:51:53,879 Speaker 2: Yeah, I know, I love those two. 926 00:51:54,400 --> 00:51:59,040 Speaker 1: All right, This this from a smithy because of us. 927 00:51:59,239 --> 00:52:00,760 Speaker 3: Actually, yeah, I saw this one. 928 00:52:01,120 --> 00:52:02,600 Speaker 1: Hey guys, I've always had a bit of an interest 929 00:52:02,600 --> 00:52:05,239 Speaker 1: in metalworking, and as of about five years ago, i've 930 00:52:05,239 --> 00:52:08,719 Speaker 1: had an interest in your show. I'd say your show 931 00:52:08,760 --> 00:52:11,120 Speaker 1: has been the longest running podcast of my life. Actually, 932 00:52:12,000 --> 00:52:14,520 Speaker 1: I remember listening to your episode about blacksmithing four years 933 00:52:14,560 --> 00:52:16,440 Speaker 1: ago and that kind of set off the domino effect 934 00:52:16,480 --> 00:52:19,680 Speaker 1: of me getting really into blacksmithing as a hobby. I'm 935 00:52:19,680 --> 00:52:21,920 Speaker 1: definitely one of those that like to collect hobbies, with 936 00:52:22,040 --> 00:52:24,480 Speaker 1: most passing in about six months and I never pick 937 00:52:24,520 --> 00:52:27,560 Speaker 1: it up again. But not true with blacksmithing. I've stuck 938 00:52:27,560 --> 00:52:29,200 Speaker 1: with it since your episode came out, and I'd like 939 00:52:29,239 --> 00:52:30,920 Speaker 1: to say I've come a long way with it. I've 940 00:52:30,960 --> 00:52:33,160 Speaker 1: attached to a few pictures of my work, which is 941 00:52:33,280 --> 00:52:35,800 Speaker 1: very good, by the way, starting with early works and 942 00:52:35,840 --> 00:52:37,319 Speaker 1: all the way to the two I completed about a 943 00:52:37,320 --> 00:52:39,879 Speaker 1: week ago. I thought you might be interested in seeing 944 00:52:39,880 --> 00:52:41,760 Speaker 1: how your show kicked off one of my favorite hobbies 945 00:52:41,760 --> 00:52:44,279 Speaker 1: I've ever had, so thanks for that. And that is 946 00:52:44,280 --> 00:52:48,919 Speaker 1: from Tate Avent and you can find Tate just look 947 00:52:49,000 --> 00:52:52,680 Speaker 1: up Tater makes t a I t E R m 948 00:52:52,800 --> 00:52:55,359 Speaker 1: a k e s and check out Tate's work. 949 00:52:55,640 --> 00:52:58,759 Speaker 2: Well, thanks a lot, Tate. That is awesome. Congratulations on 950 00:52:58,800 --> 00:53:02,120 Speaker 2: your awesome hobby getting so good at it, and we 951 00:53:02,160 --> 00:53:04,279 Speaker 2: really appreciate you letting us know that we had some 952 00:53:04,320 --> 00:53:08,239 Speaker 2: sort of small, tiny impact on you. We love hearing 953 00:53:08,239 --> 00:53:10,080 Speaker 2: that kind of thing. If you want to be like 954 00:53:10,120 --> 00:53:12,120 Speaker 2: Tate and let us know that we had some small, 955 00:53:12,160 --> 00:53:15,480 Speaker 2: tiny impact on you, please send it via email to 956 00:53:15,600 --> 00:53:17,640 Speaker 2: stuff Podcasts at iHeartRadio dot com. 957 00:53:20,560 --> 00:53:23,440 Speaker 1: Stuff you Should Know is a production of iHeartRadio. For 958 00:53:23,560 --> 00:53:27,719 Speaker 1: more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts, 959 00:53:27,840 --> 00:53:29,680 Speaker 1: or wherever you listen to your favorite shows.