1 00:00:00,360 --> 00:00:04,000 Speaker 1: Hello the Internet, and welcome to Season to twenty, episode 2 00:00:04,040 --> 00:00:08,119 Speaker 1: three of Guys, the production of I Heart Radio. And 3 00:00:08,200 --> 00:00:10,000 Speaker 1: this is a podcast where we take a deep dive 4 00:00:10,039 --> 00:00:16,360 Speaker 1: into American's share consciousness. It is Thursday, January two, National 5 00:00:16,920 --> 00:00:23,239 Speaker 1: Cheese Lover's Day, National disc Jockey Day? Is that what 6 00:00:23,360 --> 00:00:27,240 Speaker 1: we would be in another eras disc jockeys? Yeah, we'd be, 7 00:00:27,480 --> 00:00:30,400 Speaker 1: absolutely would be. I feel like there wouldn't have been 8 00:00:30,440 --> 00:00:33,320 Speaker 1: a way for I feel like you had to have 9 00:00:33,440 --> 00:00:36,040 Speaker 1: like a cool voice, and I don't. I don't fit 10 00:00:36,120 --> 00:00:38,720 Speaker 1: that well. You could perform one, you know what I mean. 11 00:00:38,760 --> 00:00:41,240 Speaker 1: It's like it's like that bit like in Wayne's World 12 00:00:41,240 --> 00:00:45,320 Speaker 1: two where they meet like Harry Shear, Who's like the change, 13 00:00:45,360 --> 00:00:48,680 Speaker 1: Like hey are you doing? And they're like what that's real? 14 00:00:49,320 --> 00:00:53,920 Speaker 1: This is here anyways. My name is Jack O'Brien, a 15 00:00:54,120 --> 00:00:59,560 Speaker 1: k A. Lix Jones Drinks Pete. You know that fool's 16 00:00:59,600 --> 00:01:02,760 Speaker 1: piss out of smell? That is courtesy a Christie. I'm 17 00:01:02,800 --> 00:01:08,440 Speaker 1: Agucci man, short and sweet and gross and yeah, shout 18 00:01:08,440 --> 00:01:11,440 Speaker 1: out to that man. I'm thrilled to be joined as 19 00:01:11,480 --> 00:01:16,919 Speaker 1: always buy my co host Mr Miles Ground. We're in lockdown, 20 00:01:17,319 --> 00:01:20,240 Speaker 1: but I go out again. Those vaccines not gonna make 21 00:01:20,319 --> 00:01:24,119 Speaker 1: me frown. I just go out even though there's a lockdown, 22 00:01:24,480 --> 00:01:27,160 Speaker 1: and they will never make me frown. Let me, let 23 00:01:27,160 --> 00:01:28,760 Speaker 1: me get to the part that's really good so I 24 00:01:28,760 --> 00:01:31,399 Speaker 1: can kill this part. He drinks a peepy drink. He 25 00:01:31,480 --> 00:01:34,199 Speaker 1: drinks a peepy drink. He drinks a pepc He drinks 26 00:01:34,200 --> 00:01:36,480 Speaker 1: a peepy drink. He sings the songs that remind him 27 00:01:36,520 --> 00:01:38,800 Speaker 1: of his friends lives. He sings the songs that remind 28 00:01:38,840 --> 00:01:46,800 Speaker 1: him of his backslides. Oh jacket boy, pushing the vax away, 29 00:01:47,040 --> 00:01:51,080 Speaker 1: drinking my beer all day, and shout out to Johnny 30 00:01:51,160 --> 00:01:55,080 Speaker 1: Davis for that pub thumping a k and also Bill 31 00:01:55,200 --> 00:01:57,880 Speaker 1: on the discord with just a little touch ups on 32 00:01:57,920 --> 00:02:01,280 Speaker 1: the side. I see it was great work. That was 33 00:02:01,320 --> 00:02:05,440 Speaker 1: a symphony. I mean, drinks ap drink, just say that 34 00:02:05,520 --> 00:02:10,360 Speaker 1: four times. Yeah, that fucking thumped some tub. That's the 35 00:02:10,400 --> 00:02:14,560 Speaker 1: only way to describe that ship. Thank you, man, Miles. 36 00:02:15,240 --> 00:02:18,000 Speaker 1: We're a thrilled to be joined in our third seats 37 00:02:18,360 --> 00:02:21,440 Speaker 1: from all the way across the Pond. One of the 38 00:02:21,480 --> 00:02:25,520 Speaker 1: funniest comedy writers doing it anywhere. She is the creator 39 00:02:25,560 --> 00:02:29,720 Speaker 1: and writer behind birds Rights activists on Twitter and writes 40 00:02:29,760 --> 00:02:33,480 Speaker 1: for the amazing YouTube show Some More News with Cody Johnson. 41 00:02:33,600 --> 00:02:38,760 Speaker 1: She studied psychology and evolutionary biology at a school in 42 00:02:38,840 --> 00:02:43,400 Speaker 1: Boston and uses her educational background to host the podcast 43 00:02:43,440 --> 00:02:46,640 Speaker 1: Creature feature, where you learn all the weirdest ship you 44 00:02:46,680 --> 00:02:51,160 Speaker 1: didn't know you wanted to know about various creatures, including 45 00:02:51,160 --> 00:02:55,959 Speaker 1: the weirdest and grossest creature of all mankind. Please welcome 46 00:02:56,240 --> 00:03:02,359 Speaker 1: the brilliant the town to Katie God. Yeah, I wish 47 00:03:02,440 --> 00:03:06,120 Speaker 1: I had a pe song. That is one thing that 48 00:03:06,200 --> 00:03:09,680 Speaker 1: America is brimming with, right, Yeah, we got a bumper 49 00:03:09,720 --> 00:03:16,320 Speaker 1: crop of p P based songs and ideas. We're just 50 00:03:16,639 --> 00:03:19,679 Speaker 1: you know, we're drinking our own piss over here's how 51 00:03:19,720 --> 00:03:26,240 Speaker 1: are you good? Good? Yeah? Yeah, handling the pandemic in Italy, 52 00:03:26,280 --> 00:03:30,760 Speaker 1: not telling to drink. Yeah. You guys have fountains over there, 53 00:03:30,840 --> 00:03:33,800 Speaker 1: you have like those little baby fountains with the water 54 00:03:33,880 --> 00:03:38,839 Speaker 1: coming out of their pe. You mean you mean the 55 00:03:38,840 --> 00:03:42,520 Speaker 1: the that famous one, the piss Boy. I don't think 56 00:03:42,520 --> 00:03:46,400 Speaker 1: it's called the boy, No, that's right. Is that translates 57 00:03:46,400 --> 00:03:51,600 Speaker 1: to boys called el bambino peace? I don't know if 58 00:03:51,640 --> 00:03:59,840 Speaker 1: that's Italian? Is that Italian? Bambino is Belgian? Oh right, yeah, anyway, 59 00:04:00,080 --> 00:04:03,200 Speaker 1: got statues. My flamash ain't that good these days. So 60 00:04:05,080 --> 00:04:08,200 Speaker 1: one of them has a penis and you know, somebody, 61 00:04:08,240 --> 00:04:11,000 Speaker 1: I'm just pitching here, but maybe an upgrade to the 62 00:04:11,080 --> 00:04:15,960 Speaker 1: David would be a little fountain you should like pel 63 00:04:16,120 --> 00:04:19,440 Speaker 1: lemon cello. Yeah, and all the people who come to 64 00:04:19,520 --> 00:04:24,160 Speaker 1: gather at the base it would be so surprised class 65 00:04:25,000 --> 00:04:27,120 Speaker 1: this is the David have like a hand. What's his 66 00:04:27,160 --> 00:04:30,839 Speaker 1: other aren't doing? Is it kind of flopping? It could 67 00:04:30,839 --> 00:04:34,320 Speaker 1: hold like a It could definitely hold like a glass, 68 00:04:34,400 --> 00:04:37,520 Speaker 1: a fresh glass of lemon cello. I think, yeah, oh, 69 00:04:37,520 --> 00:04:40,080 Speaker 1: because right one hand is kind of like on the shoulder, right, 70 00:04:40,120 --> 00:04:41,920 Speaker 1: and the other one like down like this, and it 71 00:04:42,080 --> 00:04:47,080 Speaker 1: just pissing famously the David. Like when you get up 72 00:04:47,120 --> 00:04:50,160 Speaker 1: really close, up up high, you see that, like there's 73 00:04:50,160 --> 00:04:54,000 Speaker 1: all this vascularity that represents like how the human body 74 00:04:54,040 --> 00:04:57,680 Speaker 1: would react in a time of great stress. Because it's 75 00:04:57,680 --> 00:05:00,880 Speaker 1: supposed to be the David, right, David, right before he 76 00:05:01,040 --> 00:05:04,800 Speaker 1: fights the lies, Is that right? Yeah, it's that David right, yeah, 77 00:05:05,400 --> 00:05:08,320 Speaker 1: and so he's really scared. That's also why is Pep's 78 00:05:08,320 --> 00:05:12,080 Speaker 1: a little shrunk down but in a little bit, Yeah, 79 00:05:12,080 --> 00:05:14,560 Speaker 1: do you know what else happens when you're really scared. 80 00:05:14,880 --> 00:05:19,279 Speaker 1: Sometimes pep you go a little pepete and pep, you 81 00:05:19,279 --> 00:05:23,080 Speaker 1: know you're scared. I'm saying the only reason that the 82 00:05:23,240 --> 00:05:26,799 Speaker 1: David doesn't have a peace dream coming out is because 83 00:05:26,880 --> 00:05:30,039 Speaker 1: the technology wasn't available yet. I think it was though. 84 00:05:30,480 --> 00:05:37,680 Speaker 1: You know we had aquifers, right, Yeah, Michaelangelo, do better 85 00:05:37,760 --> 00:05:41,880 Speaker 1: many try harder, bro Yeah, I honestly had I would 86 00:05:41,920 --> 00:05:44,559 Speaker 1: have said, michel Angelo, but I just didn't know which 87 00:05:44,800 --> 00:05:48,479 Speaker 1: Ninja turtle it was the sculpt of that, the Ninja 88 00:05:48,520 --> 00:05:55,960 Speaker 1: t thank you. Yeah. How what's the vibe over in 89 00:05:56,640 --> 00:06:01,480 Speaker 1: Italy like these days? Uh? Well, people are pretty nervous 90 00:06:01,520 --> 00:06:05,520 Speaker 1: about Amicron because it is uh spiking quite a bit. 91 00:06:05,880 --> 00:06:09,760 Speaker 1: So they have announced new restrictions. So like you have 92 00:06:09,839 --> 00:06:13,239 Speaker 1: to have the super green pass, not just the green past, 93 00:06:13,279 --> 00:06:17,400 Speaker 1: but the super green past, and that is the you 94 00:06:17,480 --> 00:06:20,839 Speaker 1: have to have a green pass that shows that you 95 00:06:20,920 --> 00:06:26,960 Speaker 1: have been vaccinated, and that is your ticket into things 96 00:06:27,080 --> 00:06:35,159 Speaker 1: like public transportation and restaurants. Go tech on, Disco Teca, yes, exactly, Bibliotheca, 97 00:06:35,320 --> 00:06:42,280 Speaker 1: Disco Teca, all the all the Italian hot spots. Yeah nice. Yeah. 98 00:06:42,320 --> 00:06:45,200 Speaker 1: Wait wait, what's super green though, that you're like boosted 99 00:06:45,279 --> 00:06:48,760 Speaker 1: or something. What the original Green Pass allowed you to 100 00:06:49,040 --> 00:06:52,719 Speaker 1: do a COVID test and show like a negative COVID test. 101 00:06:53,480 --> 00:06:55,919 Speaker 1: I think the super Green Pass you do have to 102 00:06:55,920 --> 00:06:59,920 Speaker 1: be vaccinated that or I think it's a shorter period 103 00:06:59,920 --> 00:07:03,359 Speaker 1: of time that the COVID test is valid for. But yeah, 104 00:07:03,480 --> 00:07:07,200 Speaker 1: so they do. They do check to make sure, you know, 105 00:07:07,839 --> 00:07:13,360 Speaker 1: you're maybe less ikey, to make sure before you go 106 00:07:13,400 --> 00:07:16,520 Speaker 1: into public spaces. You're also required to wear a mask 107 00:07:16,560 --> 00:07:21,679 Speaker 1: outdoors right now. And yeah, but it's nice, So what's that? What? 108 00:07:21,680 --> 00:07:24,920 Speaker 1: What is that like? Living in fear wearing that dip 109 00:07:24,960 --> 00:07:30,720 Speaker 1: growing here? Bases do come in fun colors. They're very 110 00:07:30,760 --> 00:07:34,120 Speaker 1: like you can get like I got some, Yeah, I bet, 111 00:07:34,120 --> 00:07:35,920 Speaker 1: but you know before you dunk on the US what 112 00:07:36,000 --> 00:07:38,960 Speaker 1: I bet it's probably harder to get at home test 113 00:07:39,040 --> 00:07:44,280 Speaker 1: than it is uh tickets to the Champions League final. Huh, 114 00:07:44,280 --> 00:07:47,320 Speaker 1: it's funny you mentioned that, Miles. It's especially weird given 115 00:07:47,320 --> 00:07:50,119 Speaker 1: that we just talked about this before recording. I can't 116 00:07:50,120 --> 00:07:54,520 Speaker 1: believe you forgot about it. Yeah. No, it is actually 117 00:07:54,680 --> 00:07:57,720 Speaker 1: pretty easy to get a COVID test. They're just like, 118 00:07:57,720 --> 00:08:00,160 Speaker 1: like I was in the US over the holiday, is 119 00:08:00,200 --> 00:08:02,640 Speaker 1: and it was really hard to find COVID tests. And 120 00:08:02,680 --> 00:08:05,200 Speaker 1: then I come back here and go into the pharmacy 121 00:08:05,480 --> 00:08:09,000 Speaker 1: expecting to have to argue with the pharmacist to get one, 122 00:08:09,000 --> 00:08:11,679 Speaker 1: and they just have a huge bin full of COVID tests. 123 00:08:12,160 --> 00:08:16,960 Speaker 1: They're just throwing them at you. What. Yeah, I mean 124 00:08:17,000 --> 00:08:21,080 Speaker 1: while people are night fighting over for free ones from 125 00:08:21,120 --> 00:08:23,840 Speaker 1: the postal service, you probably have to like wait in 126 00:08:23,880 --> 00:08:28,680 Speaker 1: a long line, and there's like pureaucrats and anyways, more 127 00:08:29,040 --> 00:08:31,080 Speaker 1: on that letter. I don't I don't like this answer. 128 00:08:31,600 --> 00:08:34,520 Speaker 1: You're raining down. They're kind of tossing them around, just 129 00:08:34,559 --> 00:08:38,560 Speaker 1: like they toss around just big chunks of parmesan. So yeah, 130 00:08:38,559 --> 00:08:42,840 Speaker 1: it was yeah, actually kill you. So maybe it's not 131 00:08:42,880 --> 00:08:46,600 Speaker 1: as safe as you think, big wheels of parmesan, right. Yeah, 132 00:08:46,920 --> 00:08:52,160 Speaker 1: Suddenly we become just fierce nationalists. I mean, come on, 133 00:08:52,200 --> 00:08:55,079 Speaker 1: if you're gonna get mistreated anywhere, it's got to be 134 00:08:55,160 --> 00:09:00,719 Speaker 1: the US coming for a turf bro I do you 135 00:09:00,880 --> 00:09:04,880 Speaker 1: admit that US pizza is better than Italian pizza? I'm sorry, 136 00:09:05,600 --> 00:09:10,160 Speaker 1: it is true. No, it's true. It's it's very sad, 137 00:09:10,200 --> 00:09:14,439 Speaker 1: but true. It's I mean that's to be expected, Like 138 00:09:14,520 --> 00:09:19,880 Speaker 1: it's a gluttonous thing that we've made millions and millions 139 00:09:19,880 --> 00:09:23,960 Speaker 1: and millions of Like it seems like we should be 140 00:09:24,000 --> 00:09:27,480 Speaker 1: good at that at this point. All right, well, Katie, 141 00:09:27,679 --> 00:09:29,160 Speaker 1: we're going to get to know you a little bit 142 00:09:29,200 --> 00:09:31,040 Speaker 1: better in a moment. First, we're gonna tell our listeners 143 00:09:31,080 --> 00:09:33,800 Speaker 1: a couple of the things we're talking about. We're gonna 144 00:09:33,800 --> 00:09:36,839 Speaker 1: talk about how the debates are biased, thank you r 145 00:09:37,000 --> 00:09:41,600 Speaker 1: n C. We're gonna talk about the Trump investigation into 146 00:09:42,000 --> 00:09:46,120 Speaker 1: like financial ship that I've seen people be like, oh, 147 00:09:47,840 --> 00:09:53,320 Speaker 1: he's she said, fraudulent, He's in trouble, and it just 148 00:09:53,520 --> 00:09:57,439 Speaker 1: I don't know. I'll get interested when a defense attorney 149 00:09:57,480 --> 00:09:59,520 Speaker 1: is like, yeah, no, they're fucked, But as of right now, 150 00:09:59,679 --> 00:10:02,199 Speaker 1: just is like, uh, you know, he's going to get 151 00:10:02,200 --> 00:10:05,000 Speaker 1: away with it because we're built on the system of 152 00:10:05,080 --> 00:10:07,520 Speaker 1: getting away with it by rich people. So we'll talk 153 00:10:07,559 --> 00:10:11,400 Speaker 1: about that. We'll talk about the Chamber of Commerce, who 154 00:10:11,559 --> 00:10:16,320 Speaker 1: is the real force holding up voting rights And there's 155 00:10:16,320 --> 00:10:20,199 Speaker 1: some pulling that is sort of offers a contrast between 156 00:10:20,240 --> 00:10:25,360 Speaker 1: between the US and how we've reacted to the pandemic 157 00:10:25,440 --> 00:10:29,400 Speaker 1: and other countries. And so I just want to get 158 00:10:29,480 --> 00:10:33,920 Speaker 1: Katie's thoughts on that. Interrogate that lie, big lie a 159 00:10:33,960 --> 00:10:39,079 Speaker 1: little bit right, Yeah, and then talk about spicy me 160 00:10:39,200 --> 00:10:42,480 Speaker 1: balls at least once or twice. And then we're gonna 161 00:10:42,480 --> 00:10:45,360 Speaker 1: talk about Crypto bro spending three million dollars on a 162 00:10:45,480 --> 00:10:53,720 Speaker 1: Dune book that there's a interesting saga behind behind jam. Yeah, 163 00:10:53,840 --> 00:10:56,760 Speaker 1: I mean that ship sounds cool. I remember, it sounds cool. 164 00:10:56,880 --> 00:10:59,520 Speaker 1: I only know of Yodorowsky's done because of like this 165 00:10:59,600 --> 00:11:02,400 Speaker 1: one guy, my friend Alex, who always talked about it, 166 00:11:02,440 --> 00:11:04,520 Speaker 1: and I'm like, it's a movie. He's like, no, that's 167 00:11:04,559 --> 00:11:07,160 Speaker 1: the thing. I'm like, why are we talking about this? 168 00:11:07,800 --> 00:11:11,280 Speaker 1: I mean he wanted to make a prestige TV series 169 00:11:11,400 --> 00:11:14,640 Speaker 1: before such things existed. We want to make a fourteen 170 00:11:14,679 --> 00:11:20,120 Speaker 1: hour long Dune movie scored by Pink Floyd would have 171 00:11:20,120 --> 00:11:24,920 Speaker 1: been cool, but he failed to realize that that medium 172 00:11:24,960 --> 00:11:28,720 Speaker 1: did not exist yet. All that plenty more, But first, Katie, 173 00:11:28,800 --> 00:11:30,760 Speaker 1: we do like to ask our guests, what is something 174 00:11:30,800 --> 00:11:36,080 Speaker 1: from your search history? Yeah, Horace Monkey, Ferreal Dogs. I 175 00:11:36,120 --> 00:11:42,040 Speaker 1: can explain. Okay, now, first it's pretty self explanatory. Horace Monkey, Yeah, 176 00:11:42,160 --> 00:11:46,800 Speaker 1: Horace Monkey, Feral Dogs. You know it's a it's a 177 00:11:46,880 --> 00:11:52,439 Speaker 1: proge metal band. No, it's a it's a there's a 178 00:11:52,559 --> 00:11:57,120 Speaker 1: vervet monkey named Horace, who is in our a animal 179 00:11:57,200 --> 00:12:01,280 Speaker 1: rescue sanctuary in Zimbabwe, And I was looking up a 180 00:12:01,280 --> 00:12:06,000 Speaker 1: story about how Horace, the vervet monkey grooms this pack 181 00:12:06,280 --> 00:12:11,600 Speaker 1: of feral dogs because they have these dogs that were 182 00:12:11,720 --> 00:12:14,440 Speaker 1: kept as like guard dogs in their sanctuary, and so 183 00:12:14,480 --> 00:12:18,240 Speaker 1: they were mistreated, so they're really kind of unfriendly and aggressive. 184 00:12:18,800 --> 00:12:24,199 Speaker 1: And Horace would patiently, slowly introduced himself to this dog pack. 185 00:12:24,360 --> 00:12:28,960 Speaker 1: He started out grooming this elderly dog named Isabella, who 186 00:12:29,040 --> 00:12:33,280 Speaker 1: let him groom her. And then sooner or later, like 187 00:12:33,360 --> 00:12:37,040 Speaker 1: all the other dogs realized, hey, all Horace wants to 188 00:12:37,080 --> 00:12:40,040 Speaker 1: do is pet us and and groom us and get 189 00:12:40,040 --> 00:12:42,240 Speaker 1: all the ticks and stuff off us. And then soon 190 00:12:42,520 --> 00:12:45,800 Speaker 1: they were all lining up to get a SPA treatment 191 00:12:45,880 --> 00:12:48,280 Speaker 1: from Horace. And now he's part of the dog pack. 192 00:12:50,840 --> 00:12:56,360 Speaker 1: Horace is even grooming cats too. I'm looking at these pictures, Horaces. 193 00:12:56,360 --> 00:12:59,040 Speaker 1: Pet grooming is a boom industry. This is just a 194 00:12:59,080 --> 00:13:02,480 Speaker 1: fucking smart monkey, part of the great resignation man student 195 00:13:02,520 --> 00:13:06,479 Speaker 1: on his own a pet co. Yeah, I just independent. 196 00:13:07,000 --> 00:13:09,800 Speaker 1: I just got a viral one of those clickbait adds. 197 00:13:09,840 --> 00:13:12,080 Speaker 1: It was like, how this monkey made a hundred thousand 198 00:13:12,160 --> 00:13:16,680 Speaker 1: dollars starting his own grooming business. Wait, so how did you? 199 00:13:17,000 --> 00:13:18,640 Speaker 1: Where did you? Because this seems like this is a 200 00:13:18,679 --> 00:13:20,959 Speaker 1: story that's been going on for a few years now, 201 00:13:21,000 --> 00:13:23,520 Speaker 1: like the attention on Horace, What did you? Is this 202 00:13:23,559 --> 00:13:25,560 Speaker 1: a thing that you just thought we were like, oh what, 203 00:13:25,720 --> 00:13:30,240 Speaker 1: I hadn't dreamed a premonition. No, it was for I 204 00:13:30,280 --> 00:13:33,600 Speaker 1: was researching for the podcast. I was looking for fun 205 00:13:33,679 --> 00:13:39,000 Speaker 1: stories from one and I found there's the Smithsonian Channel 206 00:13:39,679 --> 00:13:44,720 Speaker 1: TV series called Amazing Animal Friendships, which is just exactly 207 00:13:44,760 --> 00:13:49,880 Speaker 1: what it sounds like. It's a yeah, monkeys befriending dogs, 208 00:13:50,360 --> 00:13:54,920 Speaker 1: dogs befriending zebras. It's great. I love it. Is there 209 00:13:54,960 --> 00:13:59,760 Speaker 1: a animal like interspecies friendship that like not just like 210 00:13:59,800 --> 00:14:02,480 Speaker 1: a one off, but like just that that tends to 211 00:14:02,640 --> 00:14:06,920 Speaker 1: happen that you is like number one animal like partners 212 00:14:07,120 --> 00:14:10,559 Speaker 1: in the wild that you're you're a fan of? Is it? 213 00:14:10,640 --> 00:14:13,600 Speaker 1: Is it Horace and his grooming surface? I mean that's 214 00:14:13,720 --> 00:14:16,320 Speaker 1: more of a that seems like more of a one off, 215 00:14:16,400 --> 00:14:20,680 Speaker 1: But there are animal friendships in the wild that happened 216 00:14:21,560 --> 00:14:24,640 Speaker 1: more often than than just sort of a fluke, Like 217 00:14:24,880 --> 00:14:30,480 Speaker 1: badgers and coyotes sometimes work together in hunting and there's 218 00:14:30,520 --> 00:14:33,440 Speaker 1: there's of course that viral clip of a very excited 219 00:14:33,480 --> 00:14:37,200 Speaker 1: coyote jumping around in this badger just kind of waddling along. 220 00:14:37,560 --> 00:14:40,760 Speaker 1: But they'll hunt together because the badger can dig out 221 00:14:41,400 --> 00:14:45,560 Speaker 1: like prairie dogs and other burrowing little rodents, and then 222 00:14:45,680 --> 00:14:48,880 Speaker 1: meanwhile the coyote can like chase them once they pop 223 00:14:48,880 --> 00:14:51,160 Speaker 1: out of the hole, so basically they kind of trap 224 00:14:51,400 --> 00:14:55,360 Speaker 1: the rodents. So they there's only two wins to a hole, 225 00:14:55,440 --> 00:14:57,280 Speaker 1: so they got to come out of one of them. 226 00:14:57,320 --> 00:14:59,560 Speaker 1: Do they and do they share after like a good 227 00:14:59,560 --> 00:15:05,080 Speaker 1: work your here's your cut, here's your cut, and it's 228 00:15:05,120 --> 00:15:09,520 Speaker 1: just like a prairie dog ass, Yeah, they that would 229 00:15:09,560 --> 00:15:13,160 Speaker 1: be really cute. They don't. It's more that the prairie 230 00:15:13,160 --> 00:15:16,520 Speaker 1: dog or or whatever road and really only has two 231 00:15:16,600 --> 00:15:19,920 Speaker 1: choices of exit and there's either a badger or a 232 00:15:20,000 --> 00:15:22,160 Speaker 1: coyote on the end of it, so one of them 233 00:15:22,200 --> 00:15:24,640 Speaker 1: is going to get fed and okay, so sometimes it'll 234 00:15:24,640 --> 00:15:26,840 Speaker 1: be like, nah, I'll just take my chance to the 235 00:15:26,880 --> 00:15:32,760 Speaker 1: badger right exactly exactly, so you know, is there sorry, 236 00:15:32,760 --> 00:15:35,320 Speaker 1: real quick question on this specific instance. Is it like 237 00:15:35,400 --> 00:15:37,400 Speaker 1: a is it like a steak out? Because the prairie 238 00:15:37,400 --> 00:15:39,680 Speaker 1: dog can like stay in, but probably only stay in 239 00:15:39,760 --> 00:15:42,080 Speaker 1: for so long do they stake out the whole like 240 00:15:42,160 --> 00:15:45,040 Speaker 1: waiting for it to come out, And like smoke cigarettes, 241 00:15:45,240 --> 00:15:49,840 Speaker 1: the badger can actually, yeah, the badger can dig up 242 00:15:49,880 --> 00:15:52,920 Speaker 1: the hole, so the prairie dogs can start freaking out 243 00:15:52,920 --> 00:15:55,880 Speaker 1: and try to escape the other end because it's it's 244 00:15:55,960 --> 00:15:58,040 Speaker 1: the badger is getting in there, whereas the coyote is 245 00:15:58,080 --> 00:16:01,200 Speaker 1: not as much of a great digger when it comes 246 00:16:01,240 --> 00:16:03,480 Speaker 1: to that sort of thing. So, yeah, they work pretty 247 00:16:03,480 --> 00:16:06,080 Speaker 1: well together, all right. I like my version better, but 248 00:16:06,120 --> 00:16:08,840 Speaker 1: go ahead, miles. Yeah, and mine is this like what 249 00:16:08,960 --> 00:16:11,080 Speaker 1: that's what it would call it? It It was a sym 250 00:16:11,200 --> 00:16:17,200 Speaker 1: symbiotic relationship. Yeah, any kind of relationship between two animals 251 00:16:17,480 --> 00:16:22,120 Speaker 1: or two species is called symbiosis. And symbiosis can be 252 00:16:22,280 --> 00:16:26,200 Speaker 1: good or bad. So symbiosis can be parasitism or it 253 00:16:26,240 --> 00:16:29,880 Speaker 1: can be mutualism. So the coyote and the badger are 254 00:16:29,880 --> 00:16:33,800 Speaker 1: working together is mutualism. There are other less sort of 255 00:16:33,840 --> 00:16:38,120 Speaker 1: disneyesque mutualistic relationships, like bees and flowers are in a 256 00:16:38,240 --> 00:16:41,960 Speaker 1: mutualistic relationships and they both benefit each other. But yeah, 257 00:16:42,240 --> 00:16:45,440 Speaker 1: broadly speaking, and what's a friendship though, you know what 258 00:16:45,480 --> 00:16:49,240 Speaker 1: I mean, that's a word but not mutualistic or parasitic, 259 00:16:49,320 --> 00:16:52,080 Speaker 1: but friendship, you know what I mean. That's that's what 260 00:16:52,120 --> 00:16:54,800 Speaker 1: I'm hoping we'll see. I mean, all friends have benefits. Miles, 261 00:16:54,800 --> 00:16:58,000 Speaker 1: come on. It's always transaction. I remember seeing like a 262 00:16:58,000 --> 00:16:59,880 Speaker 1: clip of this one is like, oh, look at this 263 00:17:00,400 --> 00:17:04,199 Speaker 1: lioness with like this like young gazelle that it's like 264 00:17:04,280 --> 00:17:06,520 Speaker 1: taken in and it's like protecting. And then like all 265 00:17:06,560 --> 00:17:09,080 Speaker 1: these like people who are injured animals, like it's only 266 00:17:09,119 --> 00:17:11,240 Speaker 1: doing that so the cubs will learn how to play 267 00:17:11,280 --> 00:17:17,720 Speaker 1: with live animals. It's not that he cares about the gazelle. Jesus, Okay, 268 00:17:17,760 --> 00:17:22,440 Speaker 1: that took a turn. Yeah, there's occasionally like a lioness 269 00:17:22,560 --> 00:17:26,600 Speaker 1: who is sort of maybe ostracized and doesn't have a 270 00:17:26,680 --> 00:17:30,480 Speaker 1: pride and doesn't have cubs, who will mistakenly take in 271 00:17:30,640 --> 00:17:33,280 Speaker 1: something like a baby gazelle. But it never usually ends 272 00:17:33,280 --> 00:17:36,120 Speaker 1: in tragedy because the lioness can't take care of a gazelle. 273 00:17:36,119 --> 00:17:40,640 Speaker 1: It's really sad. Exactly. Badgers. I feel like there's also 274 00:17:40,720 --> 00:17:44,399 Speaker 1: the honey badger like partnership that was in that viral 275 00:17:45,000 --> 00:17:48,320 Speaker 1: other viral video right where they work with a bird 276 00:17:48,520 --> 00:17:50,639 Speaker 1: that like spots the honey and then they go in 277 00:17:50,680 --> 00:17:54,880 Speaker 1: and just function up like the honey guide. Yeah, there's Yeah, 278 00:17:54,880 --> 00:17:58,119 Speaker 1: there's actually also the relationship between the honey guide and 279 00:17:58,240 --> 00:18:03,800 Speaker 1: humans which is really interesting. Yeah, like human forgers will 280 00:18:04,040 --> 00:18:06,800 Speaker 1: team up with a honey guide, and the honey guide 281 00:18:07,000 --> 00:18:10,440 Speaker 1: likes the fact that the humans disturbed these hives because 282 00:18:10,480 --> 00:18:14,280 Speaker 1: then they can get at these insects easier. Oh got you, Yeah, 283 00:18:15,000 --> 00:18:18,400 Speaker 1: look at us we're really doing. Also, I just want 284 00:18:18,400 --> 00:18:22,280 Speaker 1: to say, like there's mutualism, there's parasitism. My parasite actually 285 00:18:22,440 --> 00:18:25,439 Speaker 1: improves me. I'm not I won't get any further into it, 286 00:18:25,520 --> 00:18:29,119 Speaker 1: but I do have a parasite that I mean, you'rees 287 00:18:29,160 --> 00:18:32,840 Speaker 1: are coming in like definition model usque. I keep knowing, 288 00:18:32,840 --> 00:18:35,080 Speaker 1: you man, that tapeworm is doing a number on you. 289 00:18:35,200 --> 00:18:40,000 Speaker 1: But like it's just when you see like it slither 290 00:18:40,119 --> 00:18:45,440 Speaker 1: across my skin that freaks people. Takes a sip of 291 00:18:45,480 --> 00:18:50,840 Speaker 1: your coffee and he goes back in it. You're like, what, 292 00:18:51,520 --> 00:18:57,359 Speaker 1: I'm sorry, my tapeworm thinks. What's something you think is overrated? Uh? Yeah, 293 00:18:57,400 --> 00:19:00,399 Speaker 1: there's I guess something that's a little bit topical is 294 00:19:00,720 --> 00:19:04,440 Speaker 1: there was this story sort of framed as this feel 295 00:19:04,520 --> 00:19:09,760 Speaker 1: good story of police officers in Cleveland County, Oklahoma stepping 296 00:19:09,760 --> 00:19:14,359 Speaker 1: into substitute for teachers who are outsick with COVID, And 297 00:19:14,440 --> 00:19:17,600 Speaker 1: it was framed as like, oh, isn't this sweet like 298 00:19:17,680 --> 00:19:21,399 Speaker 1: police officers officers stepping in to educate children when all 299 00:19:21,440 --> 00:19:24,720 Speaker 1: their teachers are sick with COVID. But that seems like 300 00:19:24,760 --> 00:19:30,400 Speaker 1: a nightmare to me, right if, yeah, if my substitute 301 00:19:30,440 --> 00:19:33,439 Speaker 1: teacher was a police officer, I would be peeing and 302 00:19:33,480 --> 00:19:39,960 Speaker 1: pooping myself in class. Can come out of you, right, 303 00:19:42,960 --> 00:19:45,600 Speaker 1: It's like yeah, because I mean I can't think of 304 00:19:45,640 --> 00:19:49,280 Speaker 1: two occupations that are directly on the same wavelength with 305 00:19:49,359 --> 00:19:54,480 Speaker 1: each other as police officer and teacher. Yeah. Yeah, it 306 00:19:54,520 --> 00:19:59,240 Speaker 1: seems completely like the parallel skill sets, um, you know, 307 00:19:59,320 --> 00:20:04,280 Speaker 1: brutalized for people in service of protecting private property or 308 00:20:04,320 --> 00:20:08,960 Speaker 1: teaching the youth. Sure, yeah, it's like I guess you're 309 00:20:08,960 --> 00:20:12,800 Speaker 1: teaching physics when you body slam a student for no reason? Right? 310 00:20:13,240 --> 00:20:16,640 Speaker 1: That how it works? Interesting? Yeah, like terminal velocity, I guess. Yeah, 311 00:20:16,760 --> 00:20:21,440 Speaker 1: yeah exactly. Were the pictures like cops like in their uniforms, 312 00:20:21,480 --> 00:20:24,280 Speaker 1: like out of blackboard and that was the thing, Like yeah, 313 00:20:24,400 --> 00:20:28,480 Speaker 1: then like smiling, Oh, also cherry on top of the 314 00:20:28,600 --> 00:20:32,360 Speaker 1: doughnut if the yeah is that they weren't wearing masks. 315 00:20:32,359 --> 00:20:35,600 Speaker 1: No masks, And the story was like, oh, the teachers 316 00:20:35,600 --> 00:20:38,879 Speaker 1: are sick with COVID, let's get some maskless police officers 317 00:20:38,920 --> 00:20:42,239 Speaker 1: in here to teach kids. You know, I don't know 318 00:20:42,880 --> 00:20:47,080 Speaker 1: that we live in a police statement. Yeah, yeah, yeah. 319 00:20:47,240 --> 00:20:51,960 Speaker 1: I had one experience in my entire scholastic career where 320 00:20:52,119 --> 00:20:55,920 Speaker 1: a cop was my teacher, and that was the DARE program. Yeah, 321 00:20:56,200 --> 00:21:00,760 Speaker 1: and that's just very memorable. I feel like anybody who 322 00:21:00,840 --> 00:21:03,640 Speaker 1: had the DARE program like remembers that day more than 323 00:21:04,119 --> 00:21:07,560 Speaker 1: most because the cops energy. It's just strange to have 324 00:21:08,840 --> 00:21:15,200 Speaker 1: a person with such bad energy. Yeah. And I grew 325 00:21:15,280 --> 00:21:18,520 Speaker 1: up like, you know, just having it put in my head. 326 00:21:18,520 --> 00:21:20,720 Speaker 1: It's like the police this is it is not a 327 00:21:20,760 --> 00:21:24,600 Speaker 1: good situation, right. So like when I remember Officer Charles 328 00:21:24,680 --> 00:21:27,199 Speaker 1: showed up for our DAIR class, I was like I 329 00:21:27,240 --> 00:21:29,879 Speaker 1: thought I had weed on me just it was just 330 00:21:29,920 --> 00:21:31,240 Speaker 1: like I remember, I was like one of my first 331 00:21:31,240 --> 00:21:36,520 Speaker 1: responses wasn't like wow, cool a cop. Yeah, And that 332 00:21:36,560 --> 00:21:38,840 Speaker 1: guy clearly had the energy of like I screwed up 333 00:21:38,880 --> 00:21:43,199 Speaker 1: pretty bad. That's my teaching. Yeah, Yeah, I remember we 334 00:21:43,280 --> 00:21:47,200 Speaker 1: had like a cop demonstration where they had a K 335 00:21:47,400 --> 00:21:52,600 Speaker 1: nine unit and some other like other cop wearing one 336 00:21:52,600 --> 00:21:56,399 Speaker 1: of those body suits anti dogs poy suits. Yeah, and 337 00:21:56,440 --> 00:21:58,920 Speaker 1: then just like had the dog tackle the ship out 338 00:21:58,920 --> 00:22:01,639 Speaker 1: of them and start like, you know, tearing at him. 339 00:22:01,720 --> 00:22:04,680 Speaker 1: And it's like isn't this cool? Kids? And we're like 340 00:22:05,600 --> 00:22:09,879 Speaker 1: that's great. Mr Nicer Man, Like cool, that's why you 341 00:22:09,920 --> 00:22:13,840 Speaker 1: don't behave, don't misbehave. That's what you got waiting for 342 00:22:13,880 --> 00:22:16,960 Speaker 1: you on the other end of that pathway, but you 343 00:22:17,040 --> 00:22:20,560 Speaker 1: won't have that suit on. Yeah, And like I just 344 00:22:20,560 --> 00:22:23,120 Speaker 1: don't understand how any of the adults didn't think like 345 00:22:23,400 --> 00:22:27,720 Speaker 1: this seems scary. Like they're terrorizing the students with the 346 00:22:27,800 --> 00:22:31,320 Speaker 1: promise of violence, you know, if they happened to run 347 00:22:31,440 --> 00:22:34,240 Speaker 1: foul the law or not or not run a foul 348 00:22:34,280 --> 00:22:36,639 Speaker 1: the law just exist. What do you think? Like the 349 00:22:36,640 --> 00:22:39,120 Speaker 1: teachers I had in the nineties, they had been clearly 350 00:22:39,240 --> 00:22:43,879 Speaker 1: teaching since the sixties, so for them everything was like great, 351 00:22:44,160 --> 00:22:45,760 Speaker 1: you know what I mean, Like, and it was maybe 352 00:22:45,760 --> 00:22:47,800 Speaker 1: only like the new or younger teachers who are like 353 00:22:48,840 --> 00:22:51,680 Speaker 1: maybe not the best thing, but like for the people 354 00:22:51,720 --> 00:22:53,880 Speaker 1: who are like I remember when this school was segregating 355 00:22:53,960 --> 00:22:57,760 Speaker 1: almost like that kind of energy. They probably didn't care 356 00:22:57,760 --> 00:23:01,560 Speaker 1: as much, not that that was happening, but you get you. Yeah, 357 00:23:01,760 --> 00:23:05,000 Speaker 1: they did find that the DARE program, like people who 358 00:23:05,000 --> 00:23:07,520 Speaker 1: were exposed to the DARE program were more likely to 359 00:23:07,600 --> 00:23:10,840 Speaker 1: use drugs than people who weren't, so at least it 360 00:23:10,920 --> 00:23:14,640 Speaker 1: did some good. Yeah, it's yeah, there is a gateway 361 00:23:14,720 --> 00:23:17,359 Speaker 1: drug and taught us what the good stuff was. Yeah, 362 00:23:17,400 --> 00:23:21,040 Speaker 1: exactly I did. It was the first time I smelled weed, 363 00:23:21,240 --> 00:23:23,920 Speaker 1: like really up close. It was also the first time 364 00:23:23,960 --> 00:23:29,480 Speaker 1: I had like learned the urban legend that math gives 365 00:23:29,480 --> 00:23:33,400 Speaker 1: you superpowers. They're like talking about how somebody on meth 366 00:23:33,560 --> 00:23:36,359 Speaker 1: was like shot eight times and kept coming and like 367 00:23:36,520 --> 00:23:46,040 Speaker 1: through a fucking dumpster at a police car. Yeah, yeah, 368 00:23:46,400 --> 00:23:48,800 Speaker 1: the car You're like and I and I've said this 369 00:23:48,840 --> 00:23:50,959 Speaker 1: before in the podcast. When YouTube came out, that was 370 00:23:51,000 --> 00:23:52,680 Speaker 1: like the first few years of YouTube. All I was 371 00:23:52,720 --> 00:23:55,440 Speaker 1: searching for was a video evidence that that was possible. 372 00:23:55,680 --> 00:24:01,920 Speaker 1: I was like, where's guy on PCP throwing car overhead? Yeah? Yeah. 373 00:24:01,960 --> 00:24:05,320 Speaker 1: And they also would teach us like obscure ways to 374 00:24:05,400 --> 00:24:08,159 Speaker 1: get high, Like you know, if you take a can 375 00:24:08,520 --> 00:24:12,640 Speaker 1: of like computer screen cleaner and like snore to you'll 376 00:24:12,640 --> 00:24:16,200 Speaker 1: get high and it's like, oh, that never really occurred 377 00:24:16,200 --> 00:24:19,399 Speaker 1: to me, and how do you do this exactly? You know, 378 00:24:20,040 --> 00:24:21,520 Speaker 1: that's the same thing. He's like, Hey, how many you 379 00:24:21,520 --> 00:24:24,960 Speaker 1: guys know about hot knives? And we're like what. He's like, 380 00:24:25,000 --> 00:24:27,840 Speaker 1: you take two knives and you put it over your 381 00:24:27,880 --> 00:24:30,040 Speaker 1: stove and you get them red hot, and then you 382 00:24:30,080 --> 00:24:32,880 Speaker 1: put a piece of hash there and then you can 383 00:24:33,000 --> 00:24:36,560 Speaker 1: inhale the smoke that is generated from your too hot 384 00:24:36,640 --> 00:24:39,439 Speaker 1: knives pressed against the hashish. And it was like, what 385 00:24:39,480 --> 00:24:42,639 Speaker 1: the right Because the copster is they're like trying to like, 386 00:24:42,760 --> 00:24:44,439 Speaker 1: the second you get in front of a room, you 387 00:24:44,520 --> 00:24:47,360 Speaker 1: just want to like entertain and impress. You're just like, 388 00:24:47,400 --> 00:24:50,360 Speaker 1: what's the coolest shit I've ever seen? Like that, what's 389 00:24:50,359 --> 00:24:52,879 Speaker 1: the coolest thing I know about drugs? And then you 390 00:24:52,920 --> 00:24:56,119 Speaker 1: just go with that. Yeah, one time I saw a 391 00:24:56,160 --> 00:24:58,560 Speaker 1: pit bull jump into a second story balcony from the 392 00:24:58,600 --> 00:25:03,920 Speaker 1: ground floor and you're like, okay, yeah, Like it did 393 00:25:04,000 --> 00:25:06,560 Speaker 1: feel like that at times. And I've said this before. 394 00:25:06,800 --> 00:25:09,119 Speaker 1: Half of the class was him trying to get people 395 00:25:09,119 --> 00:25:14,159 Speaker 1: to like guess what his vanity license plate meant. What 396 00:25:14,400 --> 00:25:16,359 Speaker 1: he was like, who knows, Hey, you guys see my 397 00:25:16,400 --> 00:25:20,160 Speaker 1: Ford Ranger, Like what do you think the license plate means? 398 00:25:20,840 --> 00:25:22,840 Speaker 1: And we're like, what the funk is this? Well, like, 399 00:25:23,920 --> 00:25:26,760 Speaker 1: get us out of here, man, this same weed is bad. 400 00:25:27,160 --> 00:25:29,000 Speaker 1: And he brought it in the last class. He's like 401 00:25:29,000 --> 00:25:31,040 Speaker 1: he took it off his car and Brian and he's like, 402 00:25:31,040 --> 00:25:33,560 Speaker 1: all right, guys, it's our last class and I don't 403 00:25:33,560 --> 00:25:36,200 Speaker 1: want everybody to write down what they think and if 404 00:25:36,200 --> 00:25:39,919 Speaker 1: they're right, like a starburst or something. And it was 405 00:25:40,640 --> 00:25:44,399 Speaker 1: it was pr n c h A S p r 406 00:25:45,400 --> 00:25:54,119 Speaker 1: h A S yeah, porn. It was Prince Charles. And 407 00:25:54,160 --> 00:25:57,760 Speaker 1: we're like, oh, your name's Charles. It's like, yeah, I'm Charles, 408 00:25:58,119 --> 00:26:04,240 Speaker 1: and okay, full prince and an oppressors and that has 409 00:26:04,320 --> 00:26:07,080 Speaker 1: to do with the program, Like okay, yeah, you know, 410 00:26:07,200 --> 00:26:09,720 Speaker 1: but that's what I mean, Like what what is thought? 411 00:26:09,760 --> 00:26:13,040 Speaker 1: There's going to be some like tie into the theme 412 00:26:13,080 --> 00:26:16,600 Speaker 1: of the there's a very good chance that one of 413 00:26:16,680 --> 00:26:20,240 Speaker 1: those classrooms had to sit through him talking about his 414 00:26:20,400 --> 00:26:25,320 Speaker 1: divorce and just kind of going through with the class 415 00:26:25,800 --> 00:26:29,600 Speaker 1: sobbing a little bit. Everyone. Remember, Yeah, his ex was like, 416 00:26:29,920 --> 00:26:33,000 Speaker 1: your fucking vanity plate doesn't even make sense, and so 417 00:26:33,200 --> 00:26:36,560 Speaker 1: he like made the whole thing trying to prove to 418 00:26:36,640 --> 00:26:38,560 Speaker 1: her that like a bunch of twelve year olds could 419 00:26:38,720 --> 00:26:41,440 Speaker 1: tell what it was, and like they couldn't. He's like, 420 00:26:41,480 --> 00:26:45,040 Speaker 1: come on, Prince, divorce papers have been signed. I don't 421 00:26:45,080 --> 00:26:46,800 Speaker 1: know what the point of this is. I've already we've 422 00:26:46,800 --> 00:26:49,560 Speaker 1: already made our decision whatever. And then like I remember 423 00:26:49,600 --> 00:26:53,120 Speaker 1: the first day class he's writing on the blackboard, officer, 424 00:26:53,640 --> 00:27:04,200 Speaker 1: and then add just like no, no, uh what is 425 00:27:04,440 --> 00:27:07,720 Speaker 1: what some do you think is underrated? Yeah? I think 426 00:27:07,840 --> 00:27:12,439 Speaker 1: that non honey bees, so native b species that are 427 00:27:12,520 --> 00:27:17,920 Speaker 1: not are the typical honeybee, are really cool. And when 428 00:27:18,040 --> 00:27:20,920 Speaker 1: people think about the bees, like saving the bees, I 429 00:27:21,000 --> 00:27:24,159 Speaker 1: think the typical image we have in our heads is 430 00:27:24,200 --> 00:27:26,480 Speaker 1: like the honey bees because they make honey and they're cool, 431 00:27:26,720 --> 00:27:29,440 Speaker 1: and I love honey bees. Nothing. This is no shade 432 00:27:29,480 --> 00:27:32,680 Speaker 1: thrown at honey bees. But native b species can be 433 00:27:32,800 --> 00:27:36,119 Speaker 1: really different and really cool, and they're often the ones 434 00:27:36,400 --> 00:27:40,959 Speaker 1: most in need of conservation, and they're also just extremely 435 00:27:41,119 --> 00:27:44,520 Speaker 1: rad like the leaf cutting bee, which is not a 436 00:27:44,600 --> 00:27:47,080 Speaker 1: honey bee and it doesn't live in a colony. A 437 00:27:47,160 --> 00:27:50,399 Speaker 1: lot of these non honey bees are actually solitary, so 438 00:27:50,520 --> 00:27:54,159 Speaker 1: they'll raise their own young live their solitary lives. But 439 00:27:54,280 --> 00:27:57,760 Speaker 1: the leaf cutting bee does really cool ship like builds 440 00:27:57,920 --> 00:28:02,400 Speaker 1: these little leaf doobie is uh like little leaf cigars 441 00:28:03,320 --> 00:28:08,879 Speaker 1: that they laid their eggs in. Well they look I mean, 442 00:28:08,920 --> 00:28:11,159 Speaker 1: I guess technically they look more like a roach, but 443 00:28:11,320 --> 00:28:14,720 Speaker 1: like they there they just roll these leaves in like 444 00:28:15,080 --> 00:28:18,239 Speaker 1: dead wood and then stuff they're larva inside, and then 445 00:28:18,240 --> 00:28:22,480 Speaker 1: their larva grow up in these little leaf cocoons as 446 00:28:22,640 --> 00:28:26,000 Speaker 1: the safe crib. And yeah, just like google leaf cutter 447 00:28:26,119 --> 00:28:31,840 Speaker 1: b cocoon. And also farmers will buy like leafcutter bee 448 00:28:31,920 --> 00:28:34,680 Speaker 1: cocoons and just set them up somewhere because it's like 449 00:28:34,760 --> 00:28:39,080 Speaker 1: great pest control, it's great for pollination. But yeah, I 450 00:28:39,200 --> 00:28:43,320 Speaker 1: think just learning more about non honey bees, you'll often 451 00:28:43,400 --> 00:28:46,520 Speaker 1: find some really cool bee species. Yeah. The only be 452 00:28:46,840 --> 00:28:50,080 Speaker 1: non honeybee I can name is a carpenter bee. Those 453 00:28:50,080 --> 00:28:53,040 Speaker 1: are very cool because they're so big. And I remember 454 00:28:53,120 --> 00:28:57,040 Speaker 1: as a kid, I would like scream like because they're 455 00:28:57,080 --> 00:28:59,840 Speaker 1: just like this looks like the hulk of bees. And 456 00:29:00,200 --> 00:29:02,080 Speaker 1: I remember my dad and like it's a carpenter bet. 457 00:29:02,080 --> 00:29:04,680 Speaker 1: They don't staying you're good and like that was always 458 00:29:04,720 --> 00:29:08,240 Speaker 1: like my way to you know, exude calm, like in 459 00:29:08,480 --> 00:29:11,160 Speaker 1: middle school when people like I'm like it's a carpenter bee. 460 00:29:11,440 --> 00:29:13,960 Speaker 1: Let it pass. It wants nothing to do with us. 461 00:29:14,440 --> 00:29:17,720 Speaker 1: You just have a have a batman voice. Yes, suddenly, 462 00:29:17,960 --> 00:29:20,720 Speaker 1: and because if you know, like most kids, I'm regurgitating 463 00:29:20,760 --> 00:29:24,120 Speaker 1: a thing. I heard an adults say, we thought those 464 00:29:24,160 --> 00:29:28,200 Speaker 1: giant hornets that were supposed to take over the globe 465 00:29:29,960 --> 00:29:35,320 Speaker 1: that progress report. Yeah, yeah, they're still occasionally found. I 466 00:29:35,360 --> 00:29:39,000 Speaker 1: don't think they're gone yet. They haven't like taken over. 467 00:29:39,880 --> 00:29:44,080 Speaker 1: I think the problem with those ones is that the 468 00:29:44,800 --> 00:29:50,240 Speaker 1: bees here in North America didn't evolve alongside them. So 469 00:29:50,440 --> 00:29:53,840 Speaker 1: like Asian honey bees and other Asian be species have 470 00:29:54,440 --> 00:29:58,520 Speaker 1: evolved defenses against the giant hornet, the the Asian hornet, 471 00:29:59,080 --> 00:30:02,200 Speaker 1: whereas here they have of it. So like in Asian 472 00:30:02,240 --> 00:30:05,640 Speaker 1: countries where the giant hornet is a native to the 473 00:30:06,080 --> 00:30:09,640 Speaker 1: native bees have defense mechanisms like they'll form this big 474 00:30:09,760 --> 00:30:14,160 Speaker 1: b ball and vibrate until they literally cook the cornet 475 00:30:14,240 --> 00:30:18,560 Speaker 1: to death. Yeah, and uh, they'll you know, also like 476 00:30:18,680 --> 00:30:24,120 Speaker 1: smear poop outside of their hive to ward off the hornets. 477 00:30:24,680 --> 00:30:28,440 Speaker 1: And in the US they just haven't evolved these defense mechanisms, 478 00:30:28,480 --> 00:30:30,120 Speaker 1: so they don't know what the hell to do when 479 00:30:30,240 --> 00:30:35,240 Speaker 1: on giant Asian corners. We got soft yeah, yeah, yeah, 480 00:30:36,160 --> 00:30:40,480 Speaker 1: what are you gonna do? Alright, well, it feels like 481 00:30:40,640 --> 00:30:43,160 Speaker 1: that was a pre pandemic news story when we had 482 00:30:43,200 --> 00:30:47,760 Speaker 1: to make up stuff to be scared of. But from Asia. Yeah, 483 00:30:49,520 --> 00:30:58,560 Speaker 1: that's right, Asian stuff. Oh thank god. If you guys 484 00:30:58,560 --> 00:31:02,440 Speaker 1: seen parasite, well I'm not falling for it, neither should you. 485 00:31:02,680 --> 00:31:10,080 Speaker 1: This COVID bullshit sounds like Katie's countries another matter altogether. Yeah, 486 00:31:10,120 --> 00:31:13,120 Speaker 1: they're really losing losing their mut balls about it. That's 487 00:31:13,240 --> 00:31:17,600 Speaker 1: right from podcast, that famous phrase. But that's what they say. 488 00:31:17,920 --> 00:31:21,160 Speaker 1: They don't really have meatballs much here. Just for the record, 489 00:31:21,600 --> 00:31:26,400 Speaker 1: what I mean they do it? Are you sure they do? 490 00:31:26,600 --> 00:31:29,320 Speaker 1: I guess technically it's just not a big thing, like 491 00:31:29,480 --> 00:31:33,200 Speaker 1: occasionally maybe maybe they're so spicy they just know that 492 00:31:33,320 --> 00:31:35,760 Speaker 1: they you won't be able to handle them. They're like, 493 00:31:37,480 --> 00:31:41,840 Speaker 1: she's only been here, tender American, the spicy petall spicy, 494 00:31:43,400 --> 00:31:46,240 Speaker 1: can handle the thing. The memes aren't gonna stop. Just 495 00:31:46,920 --> 00:31:49,800 Speaker 1: keep it quiet. Yeah, all right, let's take a quick break. 496 00:31:49,840 --> 00:32:03,040 Speaker 1: We'll be right back. And we're back, and we're way 497 00:32:03,120 --> 00:32:08,040 Speaker 1: behind schedule. Katie's too interesting to talk to blow through 498 00:32:08,200 --> 00:32:12,160 Speaker 1: these uh, these stories. Yeah, blah blah blah, We're not 499 00:32:12,280 --> 00:32:17,200 Speaker 1: gonna have voting rights blah blah blah. Let's how about 500 00:32:17,280 --> 00:32:21,479 Speaker 1: Dune Hell yeah, dog. Not so the debates. I mean 501 00:32:21,520 --> 00:32:24,120 Speaker 1: we kind of touched on this last week. The Republicans 502 00:32:24,680 --> 00:32:28,680 Speaker 1: are have basically pulled out of all debates going forward. Yeah. 503 00:32:29,120 --> 00:32:32,040 Speaker 1: More specifically, they're like, we have no confidence in the 504 00:32:32,120 --> 00:32:35,280 Speaker 1: Committee on Presidential Debates and like their ability to be 505 00:32:35,480 --> 00:32:40,400 Speaker 1: unbiased or give advantages to the Democrats. But they founded that, 506 00:32:40,840 --> 00:32:46,000 Speaker 1: they founded the the Commission on Presidential Debates. Stop stop 507 00:32:46,960 --> 00:32:51,240 Speaker 1: stop bringing facts in here in this church. That's old 508 00:32:51,400 --> 00:32:57,360 Speaker 1: Republicans like Ronna McDaniel, Ronna Romney McDaniel, Admit Romney's niece 509 00:32:57,760 --> 00:33:00,600 Speaker 1: there is the head of the RNC. And you know, 510 00:33:00,640 --> 00:33:02,600 Speaker 1: when this announcement was made, there's been all kinds of these, 511 00:33:02,640 --> 00:33:06,120 Speaker 1: you know, justifications, excuses whatever. Like one was like I mean, 512 00:33:06,240 --> 00:33:08,880 Speaker 1: like there was the one debate where they let Joe 513 00:33:08,920 --> 00:33:12,240 Speaker 1: Biden do it virtual. Suddenly it's like, yeah, when Trump 514 00:33:12,320 --> 00:33:15,640 Speaker 1: had COVID, what are you talking about? Like that's okay, 515 00:33:15,760 --> 00:33:19,400 Speaker 1: thanks for Exhibit A in your prosecution and all of 516 00:33:19,440 --> 00:33:22,959 Speaker 1: it just like it all just falls short because it's 517 00:33:23,000 --> 00:33:25,880 Speaker 1: all sort of some version of like everything's against the 518 00:33:25,960 --> 00:33:29,200 Speaker 1: Republicans and we can't get a fair shake, and really 519 00:33:29,480 --> 00:33:32,000 Speaker 1: what it is. I think it's just pretty clear. It's 520 00:33:32,040 --> 00:33:36,480 Speaker 1: like your party platform is going so far right. Even 521 00:33:36,600 --> 00:33:40,440 Speaker 1: like Himmler would be like, hey, whoa easy, let's let's 522 00:33:40,480 --> 00:33:46,520 Speaker 1: like graduate place. Yeah, like you don't jump right into 523 00:33:46,600 --> 00:33:49,720 Speaker 1: this like ethno state stuff like off the gate at 524 00:33:49,760 --> 00:33:51,880 Speaker 1: the gate. So I think, you know, I think a 525 00:33:51,920 --> 00:33:53,680 Speaker 1: lot of people are right to point out it's like 526 00:33:53,960 --> 00:33:56,640 Speaker 1: it makes a little more sense why you wouldn't want 527 00:33:56,640 --> 00:33:59,920 Speaker 1: to have like a neo Nazi candidate on stage having 528 00:34:00,040 --> 00:34:03,479 Speaker 1: to defend their like fascist beliefs, while some like corporate 529 00:34:03,560 --> 00:34:06,720 Speaker 1: Democrat could merely just like gesture to them and be 530 00:34:06,800 --> 00:34:09,040 Speaker 1: like you see that suburbs and this is the debate, 531 00:34:09,160 --> 00:34:12,160 Speaker 1: no substance. It's me just saying look over there, and 532 00:34:12,280 --> 00:34:14,360 Speaker 1: I don't have to say anything. But I think it's just, 533 00:34:14,600 --> 00:34:17,000 Speaker 1: you know, it's just it's all in a part of 534 00:34:17,080 --> 00:34:20,640 Speaker 1: a very cynical party making very cynical moves. I mean, 535 00:34:20,719 --> 00:34:23,640 Speaker 1: it's funny because of the Commission on Presidential Debates again, 536 00:34:23,760 --> 00:34:27,640 Speaker 1: like it was founded by the RNC and like the 537 00:34:28,000 --> 00:34:31,439 Speaker 1: back what was it in like the seventies, something around 538 00:34:32,760 --> 00:34:36,360 Speaker 1: a televised debate became a big thing. Yeah, and I 539 00:34:36,440 --> 00:34:40,719 Speaker 1: mean originally it was like controlled by like the League 540 00:34:40,760 --> 00:34:44,000 Speaker 1: of Women Voters, But then the how did the RNC 541 00:34:44,200 --> 00:34:47,640 Speaker 1: wanted to have this commission so that the rn C 542 00:34:47,920 --> 00:34:50,000 Speaker 1: and I guess also the d n C could make 543 00:34:50,120 --> 00:34:53,400 Speaker 1: decisions on how they wanted the debates run by like 544 00:34:53,920 --> 00:35:00,080 Speaker 1: being able to basically approve or disapprove moderators and and 545 00:35:01,440 --> 00:35:05,480 Speaker 1: exclude third party candidates. So it's not a great system 546 00:35:05,600 --> 00:35:09,520 Speaker 1: because it gives basically control over the debate conditions to 547 00:35:10,120 --> 00:35:11,840 Speaker 1: the rn C and d n C, who are of 548 00:35:11,920 --> 00:35:14,839 Speaker 1: course going to try to make it favorable to themselves. 549 00:35:15,680 --> 00:35:18,840 Speaker 1: But now that's even not good enough for the r 550 00:35:18,880 --> 00:35:20,640 Speaker 1: n C. I guess, like it's just got to be 551 00:35:20,719 --> 00:35:24,920 Speaker 1: total authoritarianism. Yeah, it's just how low the bar for 552 00:35:25,320 --> 00:35:30,200 Speaker 1: democracy has fallen that like even seeing their candidate and 553 00:35:30,280 --> 00:35:36,200 Speaker 1: an unplanned, like un moderated like by them situation is 554 00:35:36,239 --> 00:35:39,880 Speaker 1: just too much for them, because their whole thing is 555 00:35:39,920 --> 00:35:45,000 Speaker 1: based on like being able to portray specifically to each person, 556 00:35:45,200 --> 00:35:48,160 Speaker 1: like what that person wants to hear, and so you know, 557 00:35:48,239 --> 00:35:50,680 Speaker 1: they can be fascist to the fascists, but like on 558 00:35:50,760 --> 00:35:54,040 Speaker 1: a broader stage, they won't be fascists. And this just 559 00:35:54,280 --> 00:35:56,520 Speaker 1: makes it so they never have to like do that 560 00:35:56,680 --> 00:35:59,719 Speaker 1: broader stage thing where they're like held to account. Yeah, 561 00:35:59,840 --> 00:36:01,680 Speaker 1: not that the debates are good at that, but they 562 00:36:01,760 --> 00:36:03,880 Speaker 1: were at least a thing that attempted to do that, 563 00:36:04,239 --> 00:36:08,080 Speaker 1: and they're going away. Yeah, so you'll just have to 564 00:36:08,440 --> 00:36:11,000 Speaker 1: you'll have to read up voters to figure out where 565 00:36:11,040 --> 00:36:15,399 Speaker 1: your your candidates and beliefs are and things like hate crimes. Yeah, 566 00:36:15,920 --> 00:36:19,319 Speaker 1: Chamber of Commerce is kind of the force behind all 567 00:36:19,400 --> 00:36:24,759 Speaker 1: the you know, refusing to even funk with the filibuster. 568 00:36:25,239 --> 00:36:28,160 Speaker 1: You know, they're kind of an underrated force, right. It's 569 00:36:28,200 --> 00:36:32,279 Speaker 1: like big Big, if big business had a central like 570 00:36:32,520 --> 00:36:36,520 Speaker 1: nervous system. The Chamber of Commerce is like them. It's 571 00:36:36,600 --> 00:36:42,759 Speaker 1: under raised, under discussed, under analyzed in mainstream media because yeah, 572 00:36:42,800 --> 00:36:45,680 Speaker 1: the Chamber of Commerce is like the voltron of all 573 00:36:45,719 --> 00:36:49,000 Speaker 1: the corporations, being like and we are the lobbying arm 574 00:36:49,600 --> 00:36:53,279 Speaker 1: that you know, has a tremendous way because the way 575 00:36:53,320 --> 00:36:55,839 Speaker 1: they look at is like, you know, if you're good 576 00:36:55,920 --> 00:36:58,320 Speaker 1: mainstream candidate, you want to be like, hey man, business 577 00:36:58,440 --> 00:37:00,520 Speaker 1: books with me too. I got the Chamber of Commerce. 578 00:37:00,560 --> 00:37:03,320 Speaker 1: They've endorsed me and if and if they don't endorse you, 579 00:37:04,200 --> 00:37:08,120 Speaker 1: they can provide some headaches for you during campaign. And yeah, 580 00:37:08,200 --> 00:37:11,760 Speaker 1: like as it relates to the filibuster and voting stuff, 581 00:37:12,200 --> 00:37:14,920 Speaker 1: you know, like Joe Mansion and Kirsten Cinema, But Joe 582 00:37:14,960 --> 00:37:17,759 Speaker 1: Mansion really, like especially recently, has been parroting just a 583 00:37:17,840 --> 00:37:19,960 Speaker 1: lot of talking points that have come out of the 584 00:37:20,040 --> 00:37:23,040 Speaker 1: Chamber of Commerce in terms of like why the filibuster 585 00:37:23,280 --> 00:37:25,839 Speaker 1: like doesn't need to be like messed with at all 586 00:37:26,440 --> 00:37:28,759 Speaker 1: for you know, if you're like reading the New York 587 00:37:28,840 --> 00:37:31,720 Speaker 1: Times or like, you know, he's a traditionalist, like along 588 00:37:31,760 --> 00:37:35,080 Speaker 1: with Cinema, who feels like they shouldn't be altering rules 589 00:37:35,160 --> 00:37:37,719 Speaker 1: for things like this. But if you look at how 590 00:37:37,800 --> 00:37:40,879 Speaker 1: the Chamber of Commerce talks about filibuster reform, it's clear 591 00:37:41,000 --> 00:37:43,839 Speaker 1: that they see the filibuster not just as not really 592 00:37:43,880 --> 00:37:47,759 Speaker 1: that as it relates to like voting access, but how 593 00:37:48,000 --> 00:37:51,160 Speaker 1: it can affect capital. Right. So this is like when 594 00:37:51,239 --> 00:37:53,680 Speaker 1: they were talking about the potential for minimum wage and 595 00:37:54,160 --> 00:37:56,800 Speaker 1: you know, the ease for workers to unionize. And just 596 00:37:56,920 --> 00:37:59,439 Speaker 1: to say, it's been five weeks since the I Heart 597 00:37:59,480 --> 00:38:02,359 Speaker 1: Podcast union was announced and we still have not heard 598 00:38:02,400 --> 00:38:07,359 Speaker 1: a response from the company. But we'll stay tuned, folks. 599 00:38:07,360 --> 00:38:09,040 Speaker 1: Stay tuned, folks. It's a it's a it's gonna be 600 00:38:09,080 --> 00:38:12,040 Speaker 1: a long one. But in this instance, the Chamber of 601 00:38:12,080 --> 00:38:14,920 Speaker 1: Commerce is talking about minimum ways and unionizing and is 602 00:38:14,960 --> 00:38:18,400 Speaker 1: the quote because of the filibuster, neither can become laws 603 00:38:18,440 --> 00:38:21,759 Speaker 1: currently written. That's what they wrote to like lawmakers. And 604 00:38:21,840 --> 00:38:25,279 Speaker 1: then they said they expressed concern quote that without the filibuster, 605 00:38:25,520 --> 00:38:28,120 Speaker 1: voters could have the power to elect new lawmakers who 606 00:38:28,160 --> 00:38:35,520 Speaker 1: could change public policy. Yeah, that's literally you know what 607 00:38:35,960 --> 00:38:39,200 Speaker 1: that Yeah, going on to stay quote, imagine if major 608 00:38:39,320 --> 00:38:43,120 Speaker 1: portions of federal policy constantly changed on a purely partisan 609 00:38:43,239 --> 00:38:46,360 Speaker 1: basis every time one or the other party finds itself 610 00:38:46,400 --> 00:38:50,600 Speaker 1: in unified control of the government. Again, said what if 611 00:38:50,640 --> 00:38:57,520 Speaker 1: the government changed when people voted for it? Right? No, Yeah, 612 00:38:57,520 --> 00:39:00,600 Speaker 1: I mean I think the same. It's like a pretty 613 00:39:00,640 --> 00:39:06,880 Speaker 1: interesting take, especially because Mansion I think inten supported voting 614 00:39:07,280 --> 00:39:10,640 Speaker 1: rights bill that the John Lewis Act, which I think 615 00:39:10,680 --> 00:39:13,400 Speaker 1: back then was called it's called something else, but it 616 00:39:13,680 --> 00:39:17,320 Speaker 1: it became the John Lewis Act. Yeah, and he's supported 617 00:39:17,360 --> 00:39:18,640 Speaker 1: in fact, I think he was, like he was a 618 00:39:18,719 --> 00:39:23,480 Speaker 1: co sponsor back in and now he's opposing it, and 619 00:39:23,719 --> 00:39:25,960 Speaker 1: so it makes a lot of sense that he's getting, 620 00:39:26,600 --> 00:39:29,040 Speaker 1: you know, some pressure from you know. And the thing 621 00:39:29,200 --> 00:39:31,719 Speaker 1: is they with lobbying groups, they make it very easy 622 00:39:31,800 --> 00:39:34,680 Speaker 1: to package donations to your campaign. They take a lot 623 00:39:34,760 --> 00:39:37,160 Speaker 1: of leg work out for candidates. You know. That's the 624 00:39:37,200 --> 00:39:40,400 Speaker 1: reason why lobbyings like lobbyists at that level, they're so 625 00:39:41,040 --> 00:39:44,440 Speaker 1: detrimental to how things work because like, yeah, man, if 626 00:39:44,440 --> 00:39:46,680 Speaker 1: I just bum beholden to them, like it makes my 627 00:39:46,760 --> 00:39:49,319 Speaker 1: fundraising so much easier and I have to do less work. 628 00:39:49,719 --> 00:39:53,160 Speaker 1: And you sort of go on to see like why 629 00:39:53,320 --> 00:39:55,120 Speaker 1: they really hate this. First of all, the Chamber of 630 00:39:55,120 --> 00:39:57,360 Speaker 1: Commerce sort of let you know, any candidate know, like 631 00:39:57,760 --> 00:40:01,240 Speaker 1: you funk around with the filibuster, like you will smoke 632 00:40:01,320 --> 00:40:03,120 Speaker 1: your ass. We're not we're not even playing, Like you 633 00:40:03,200 --> 00:40:06,320 Speaker 1: better not be open to any kind of filibuster reform. 634 00:40:06,760 --> 00:40:10,680 Speaker 1: And again they articulated all for us in very plain 635 00:40:10,960 --> 00:40:13,759 Speaker 1: english for everyone to understand why. So this is what 636 00:40:13,840 --> 00:40:16,520 Speaker 1: they talk about as released the filibuster quote. For example, 637 00:40:16,640 --> 00:40:19,800 Speaker 1: within two months, the House of Representatives has passed fifteen 638 00:40:19,840 --> 00:40:23,520 Speaker 1: dollar national minimum wage and a radical rewrite of US 639 00:40:23,640 --> 00:40:26,360 Speaker 1: labor law known as the pro Act. Because of the 640 00:40:26,440 --> 00:40:30,160 Speaker 1: filibuster neither can become laws currently written. In a world 641 00:40:30,200 --> 00:40:33,759 Speaker 1: without the filibuster, both might be the law of the land, 642 00:40:34,280 --> 00:40:39,239 Speaker 1: that is, until a republican unified government repealed them. So yeah, 643 00:40:39,440 --> 00:40:42,440 Speaker 1: that's it's just this fucking domino, right, is that we 644 00:40:42,560 --> 00:40:46,200 Speaker 1: have this potential that when you get rid of the filibuster, 645 00:40:46,560 --> 00:40:50,279 Speaker 1: that's a simple majority is things that can dictate our 646 00:40:50,400 --> 00:40:55,640 Speaker 1: processes and processes and regulations in the country. But Democrats 647 00:40:55,680 --> 00:40:57,200 Speaker 1: aren't going to call that out, Like you're not gonna 648 00:40:57,239 --> 00:40:59,720 Speaker 1: hear Chuck Schumer be like, hey man, it's a fucking 649 00:40:59,800 --> 00:41:02,800 Speaker 1: change Amber of Commerce is, isn't this guy's ear, because 650 00:41:02,920 --> 00:41:06,239 Speaker 1: then they're gonna snitch on themselves because both parties are 651 00:41:06,360 --> 00:41:09,520 Speaker 1: behold like they very much listen to the Chamber of Commerce. 652 00:41:09,520 --> 00:41:10,880 Speaker 1: I mean, we see that even with like a lot 653 00:41:10,920 --> 00:41:13,440 Speaker 1: of the pushes to like reopen things, a lot of 654 00:41:13,520 --> 00:41:15,840 Speaker 1: that stems from the lobbying efforts of the Chamber of 655 00:41:15,920 --> 00:41:18,680 Speaker 1: Commerce or even you know, so many things like progressive 656 00:41:18,760 --> 00:41:21,080 Speaker 1: d a s. The Chamber of Commerce or business leagues 657 00:41:21,160 --> 00:41:24,640 Speaker 1: don't want these kinds of progressive district attorneys in. So 658 00:41:25,280 --> 00:41:27,000 Speaker 1: I think, you know, people are sort of left to 659 00:41:27,040 --> 00:41:29,399 Speaker 1: look at the situation and just based on what they're 660 00:41:29,400 --> 00:41:32,640 Speaker 1: seeing on like CNN or MSNBC or whatever. It's almost 661 00:41:32,719 --> 00:41:35,320 Speaker 1: that they think, well, why won't Joe and Kirsten just 662 00:41:35,480 --> 00:41:38,440 Speaker 1: let go of their attachment to these old traditions Like that, 663 00:41:38,600 --> 00:41:42,360 Speaker 1: that's what the issue is here, rather than the Congress 664 00:41:42,480 --> 00:41:44,719 Speaker 1: is made up of a bunch of I know, Jack, 665 00:41:44,840 --> 00:41:47,680 Speaker 1: you don't you take you don't like this word funk 666 00:41:47,760 --> 00:41:49,320 Speaker 1: with And I don't mean that they're stupid. I just 667 00:41:49,400 --> 00:41:51,080 Speaker 1: mean I don't like them, That's what I said, but 668 00:41:51,440 --> 00:41:53,239 Speaker 1: that the Congress has made up a bunch of these 669 00:41:53,280 --> 00:41:56,640 Speaker 1: fucking greedy funs that are only there to serve their 670 00:41:56,680 --> 00:41:59,040 Speaker 1: own interests as long as they intersect with the aims 671 00:41:59,080 --> 00:42:01,759 Speaker 1: of the ruling business class. Like that's that's you know. 672 00:42:01,800 --> 00:42:04,400 Speaker 1: I mean, they're they're being puppited for sure. I just 673 00:42:04,680 --> 00:42:07,840 Speaker 1: the only thing, I just the idea that they're idiots, 674 00:42:08,200 --> 00:42:11,360 Speaker 1: which I do. You know, here a lot is I 675 00:42:11,480 --> 00:42:14,480 Speaker 1: think misleading. I think there, you know, in the same 676 00:42:14,520 --> 00:42:18,800 Speaker 1: way that we've learned that like cults tend to be 677 00:42:18,880 --> 00:42:21,680 Speaker 1: made up of people who are of higher intelligence and 678 00:42:21,760 --> 00:42:25,160 Speaker 1: higher education than the average person. It's like they have 679 00:42:26,200 --> 00:42:30,640 Speaker 1: really smart people whose entire self worth is built around 680 00:42:30,880 --> 00:42:35,879 Speaker 1: this central idea that they are the elite and must 681 00:42:35,960 --> 00:42:39,879 Speaker 1: be must make decisions for the masses and in order 682 00:42:39,960 --> 00:42:43,560 Speaker 1: to you know, protect them from themselves. And it's just 683 00:42:43,840 --> 00:42:48,080 Speaker 1: very I think that is the central lie that you 684 00:42:48,280 --> 00:42:52,200 Speaker 1: learn in Like that's what a lot of the highest 685 00:42:53,000 --> 00:42:57,239 Speaker 1: you know, rated universities in America like are churning out. 686 00:42:57,560 --> 00:42:59,640 Speaker 1: Like people talk about them being like left wing, but 687 00:42:59,719 --> 00:43:01,759 Speaker 1: a lot of them are like, no, you gotta like 688 00:43:01,800 --> 00:43:05,000 Speaker 1: get funding from massive corporation and like that's how you 689 00:43:05,640 --> 00:43:08,040 Speaker 1: like get shipped done. And there's all these networks of 690 00:43:08,160 --> 00:43:12,160 Speaker 1: people who work at like these massive like tech corporations 691 00:43:12,280 --> 00:43:15,680 Speaker 1: mostly now, and like they look out for each other 692 00:43:15,880 --> 00:43:19,200 Speaker 1: and like that is also kind of interwoven into all 693 00:43:19,280 --> 00:43:25,919 Speaker 1: of this, and it's just very hard to fight the yeah, 694 00:43:26,160 --> 00:43:30,320 Speaker 1: and it's kind of a virtuous cycle or vicious circle 695 00:43:30,440 --> 00:43:34,120 Speaker 1: or snake eating its own butt kind of situation. Because 696 00:43:34,840 --> 00:43:40,120 Speaker 1: the obviously the fact that we have such reliance on 697 00:43:40,320 --> 00:43:46,680 Speaker 1: like Krson Cinema and Mansion is because the very disproportionate 698 00:43:46,960 --> 00:43:51,320 Speaker 1: presence of Republicans in House of Representatives and the Senate, 699 00:43:51,719 --> 00:43:55,839 Speaker 1: because the electoral process is all messed up, like it's 700 00:43:55,960 --> 00:43:59,320 Speaker 1: not one person, one vote, it's completely skewed in favor 701 00:43:59,840 --> 00:44:03,359 Speaker 1: for publicans because that's how that's you know, just how 702 00:44:03,520 --> 00:44:06,400 Speaker 1: the system has been set up to give these smaller 703 00:44:06,680 --> 00:44:11,400 Speaker 1: states uh more voting power. And then that means that 704 00:44:12,040 --> 00:44:14,920 Speaker 1: we're always going to kind of unless you get some 705 00:44:15,320 --> 00:44:18,400 Speaker 1: massive like turnout of voters, you're always going to have 706 00:44:18,640 --> 00:44:22,799 Speaker 1: this like kind of razor thin edge margin. And then 707 00:44:23,040 --> 00:44:27,719 Speaker 1: it's very easy to like convince one Democrat to like, hey, look, 708 00:44:27,920 --> 00:44:32,000 Speaker 1: you know, Kirsten, love your style, love love the whigs 709 00:44:32,120 --> 00:44:36,400 Speaker 1: and the outfits. It's so so you're working. It's so hard. Anyways, 710 00:44:36,960 --> 00:44:40,200 Speaker 1: could you maybe um, you know, maybe oppose these things 711 00:44:40,280 --> 00:44:43,319 Speaker 1: that you said you would before, because you know, girl, 712 00:44:43,520 --> 00:44:46,560 Speaker 1: like the truth is like you're gonna you're gonna get 713 00:44:47,160 --> 00:44:50,359 Speaker 1: no money from us if you don't do that. And yeah, 714 00:44:50,520 --> 00:44:55,040 Speaker 1: you know, from has that statement made clear? Like it's 715 00:44:55,120 --> 00:44:59,120 Speaker 1: not complicated like they said it like very clearly. Like 716 00:44:59,640 --> 00:45:03,520 Speaker 1: so the House of Representatives past a fifteen dollar national 717 00:45:03,560 --> 00:45:07,000 Speaker 1: minimum wage, which is keeping pace with not even keeping 718 00:45:07,040 --> 00:45:09,839 Speaker 1: pace with inflation, but like the minimum wage has been 719 00:45:10,239 --> 00:45:14,759 Speaker 1: like criminally just left behind in the past, you know, 720 00:45:14,880 --> 00:45:18,760 Speaker 1: twenty thirty years. So they're like, we can't let that happen, 721 00:45:19,360 --> 00:45:22,319 Speaker 1: and so that's why we need to do this thing. 722 00:45:22,520 --> 00:45:25,400 Speaker 1: We are the face of big business. Like that is 723 00:45:25,440 --> 00:45:28,480 Speaker 1: a very simple story, but they need to make it 724 00:45:28,640 --> 00:45:32,800 Speaker 1: seem complicated, and like you know, they're these forces and 725 00:45:33,440 --> 00:45:37,400 Speaker 1: their traditionalists, which means like okay, so they're going like 726 00:45:37,560 --> 00:45:41,560 Speaker 1: there's some complicated ideology behind it, and like that is 727 00:45:41,640 --> 00:45:44,920 Speaker 1: the New York Times, that is like the supposed supposedly 728 00:45:45,040 --> 00:45:48,480 Speaker 1: liberal media that is get it, putting that message out 729 00:45:48,520 --> 00:45:52,600 Speaker 1: there instead of just telling this story over and over again, 730 00:45:52,800 --> 00:45:55,920 Speaker 1: which is very simple. But that like the idea that 731 00:45:56,120 --> 00:46:00,799 Speaker 1: this is very complicated is like it's only as complicated 732 00:46:00,880 --> 00:46:03,360 Speaker 1: as they make it seem to try and bore you 733 00:46:03,640 --> 00:46:06,880 Speaker 1: into not paying attention. Yeah, they're not. They're not super 734 00:46:06,920 --> 00:46:11,560 Speaker 1: into tradition. They're super into capital. So they're not traditionalists there, 735 00:46:12,560 --> 00:46:20,480 Speaker 1: capital ologists, Yeah, I think that's the word. Capitologists. Capitologists that, yeah, 736 00:46:20,640 --> 00:46:23,719 Speaker 1: that's what it is. Yeah, all right, well let's take 737 00:46:23,760 --> 00:46:26,320 Speaker 1: a quick break and we'll come back and talk about 738 00:46:26,520 --> 00:46:29,000 Speaker 1: some dipshits who spent too much money on a dune book. 739 00:46:29,480 --> 00:46:43,719 Speaker 1: Hell yeah, and we're back actually there. So there's the 740 00:46:44,280 --> 00:46:46,240 Speaker 1: the round of polls that I just saw, like getting 741 00:46:46,320 --> 00:46:49,520 Speaker 1: some attention in the mainstream media that was like, and 742 00:46:49,800 --> 00:46:51,960 Speaker 1: I've seen this a couple of plays, there's a decrease 743 00:46:52,160 --> 00:46:55,600 Speaker 1: in the popularity of like what they're calling populism with 744 00:46:55,840 --> 00:46:59,960 Speaker 1: the pandemic because like you're both Scenarrows and your Trumps 745 00:47:00,360 --> 00:47:03,960 Speaker 1: just completely fucked it up when there was a global 746 00:47:04,000 --> 00:47:10,320 Speaker 1: pandemic and the more technocratic politicians like Angela Merkell didn't, 747 00:47:10,560 --> 00:47:14,480 Speaker 1: and so they're people are kind of turning back towards 748 00:47:14,600 --> 00:47:17,279 Speaker 1: that is that is that something I actually have No 749 00:47:18,760 --> 00:47:21,360 Speaker 1: havn't the first clue about Italian politics, but is that 750 00:47:21,520 --> 00:47:25,400 Speaker 1: like a a vibe you're picking up in Italy, Katie, 751 00:47:25,520 --> 00:47:28,680 Speaker 1: like an idea of like, okay, enough with this fucking 752 00:47:29,280 --> 00:47:32,800 Speaker 1: crazy bullshit. Yeah, that's interesting. I mean, I think that 753 00:47:33,560 --> 00:47:37,440 Speaker 1: there is some more trust in the government as of 754 00:47:37,640 --> 00:47:43,880 Speaker 1: late because of the sort of you know, fears around COVID. 755 00:47:44,320 --> 00:47:48,400 Speaker 1: I'm not I mean, like Italian politics, I don't thoroughly 756 00:47:48,520 --> 00:47:52,600 Speaker 1: understand yet. There is there's like a new fascist movement 757 00:47:52,960 --> 00:47:58,799 Speaker 1: in Italy that is a pretty pretty rascally and rambunctious 758 00:47:58,920 --> 00:48:04,320 Speaker 1: but like very tiny percentage of people support it, and 759 00:48:05,040 --> 00:48:08,040 Speaker 1: I think like it's one of those things where they 760 00:48:08,239 --> 00:48:13,239 Speaker 1: openly called themselves neo fascists, and but their politics are 761 00:48:13,280 --> 00:48:16,200 Speaker 1: probably pretty similar to like the alt right in the US. 762 00:48:17,040 --> 00:48:19,960 Speaker 1: But it also just has a lot less support amongst people. 763 00:48:20,040 --> 00:48:23,360 Speaker 1: And I think, you know, like they'll have these like 764 00:48:23,520 --> 00:48:27,200 Speaker 1: anti green past protests and stuff, and they're typically pretty 765 00:48:27,800 --> 00:48:32,320 Speaker 1: pretty small and not. Yeah, and I think that like 766 00:48:32,760 --> 00:48:36,560 Speaker 1: in general, people have been I think Italy just got 767 00:48:36,760 --> 00:48:41,520 Speaker 1: so scarred early on from how horrific COVID hit Italy, 768 00:48:42,480 --> 00:48:46,080 Speaker 1: and people haven't really forgotten that. So people are kind 769 00:48:46,120 --> 00:48:50,280 Speaker 1: of more willing to sort of And it's it's funny 770 00:48:50,280 --> 00:48:54,000 Speaker 1: because there's definitely I think a lot of people here 771 00:48:54,360 --> 00:48:57,880 Speaker 1: like hate the bureaucracy, and it's not like there's just 772 00:48:58,040 --> 00:49:01,279 Speaker 1: a lot of like most of the patriotism seems to 773 00:49:01,320 --> 00:49:04,200 Speaker 1: be about like an Italian identity, not about the government. 774 00:49:04,960 --> 00:49:08,279 Speaker 1: But I think like the pandemic has made people feel 775 00:49:08,280 --> 00:49:10,680 Speaker 1: a little more trusting of the government because they feel 776 00:49:10,719 --> 00:49:14,040 Speaker 1: like they're they're doing something about it. Not that I'm 777 00:49:14,239 --> 00:49:16,920 Speaker 1: an expert on I have not I have not run 778 00:49:17,000 --> 00:49:19,560 Speaker 1: a poll on Italian So I'm just facing this on 779 00:49:20,160 --> 00:49:24,759 Speaker 1: he just shout out your window real quick, Yeah, Hey, 780 00:49:24,840 --> 00:49:28,080 Speaker 1: what's what's going on out here? Yeah. But that's so 781 00:49:28,239 --> 00:49:30,919 Speaker 1: that same study found that tribalism is the one place 782 00:49:31,040 --> 00:49:34,320 Speaker 1: is not abating as the US. So we're an outlier. 783 00:49:34,360 --> 00:49:37,160 Speaker 1: I think Malcolm Gladwell said, that's good that we're to 784 00:49:37,280 --> 00:49:40,920 Speaker 1: be an outlier. I'm a kid born at the beginning 785 00:49:40,960 --> 00:49:43,800 Speaker 1: of the year and I'm good at hockey. Now, Malcolm 786 00:49:43,800 --> 00:49:47,879 Speaker 1: Gladwell says a lot of things, doesn't he Yeah, the best, 787 00:49:47,960 --> 00:49:51,120 Speaker 1: But I mean I get that part the thing. Yeah, yeah, 788 00:49:52,480 --> 00:49:54,400 Speaker 1: you're a bigger kid. Okay, I get him, Malcolm, I 789 00:49:54,440 --> 00:49:57,239 Speaker 1: see here. Now he makes his interesting things and was 790 00:49:57,400 --> 00:50:02,320 Speaker 1: just wild leaps of still want to fucking invade the 791 00:50:02,960 --> 00:50:07,760 Speaker 1: l a golf course. Golf course is like raiding Vikings 792 00:50:07,880 --> 00:50:10,480 Speaker 1: but that and that was based on a podcast from him. 793 00:50:10,640 --> 00:50:12,279 Speaker 1: But then there's a bunch of ship. He says that 794 00:50:12,320 --> 00:50:15,640 Speaker 1: it is widely misleading. Anyways, there's also this poll that 795 00:50:16,160 --> 00:50:19,160 Speaker 1: is being kind of quote alongside this that's like and 796 00:50:19,880 --> 00:50:23,040 Speaker 1: you know, younger people are turning to the left, and 797 00:50:23,480 --> 00:50:27,480 Speaker 1: they're voting is getting more and more like they we're 798 00:50:27,480 --> 00:50:32,600 Speaker 1: seeing increased participation in you know, the democratic process. I 799 00:50:32,719 --> 00:50:36,040 Speaker 1: think they're going to see a real drop off in 800 00:50:36,200 --> 00:50:39,399 Speaker 1: that in the next couple of elections. I think if 801 00:50:39,440 --> 00:50:41,840 Speaker 1: they don't see that coming, I think they're going to 802 00:50:41,920 --> 00:50:47,080 Speaker 1: be really real surprised that how how few people are 803 00:50:47,200 --> 00:50:49,560 Speaker 1: going to be motivated to go out and vote for 804 00:50:49,640 --> 00:50:53,120 Speaker 1: Democrats when the Democrats aren't doing ship get to the 805 00:50:53,360 --> 00:50:56,799 Speaker 1: root of what what might have motivated people to participate. 806 00:50:57,000 --> 00:51:00,759 Speaker 1: It's the fact that generationally, ah, you younger people are like, 807 00:51:00,920 --> 00:51:03,440 Speaker 1: what the fuck is this hell world I'm in? Like, 808 00:51:03,840 --> 00:51:07,960 Speaker 1: like my grandfather was able to support like his four 809 00:51:08,160 --> 00:51:11,040 Speaker 1: kids with like a custodian job and they all went 810 00:51:11,080 --> 00:51:16,239 Speaker 1: to college. Huh in this country? And yeah, I think 811 00:51:16,320 --> 00:51:19,160 Speaker 1: there's just the and I don't know, unwillingness or just 812 00:51:19,920 --> 00:51:24,080 Speaker 1: that sort of they're just oblivious, maybe willfully to what 813 00:51:24,280 --> 00:51:27,040 Speaker 1: those elements are because that would that would be I guess, 814 00:51:27,120 --> 00:51:29,960 Speaker 1: too drastic of a change for our policies here. When 815 00:51:30,120 --> 00:51:34,080 Speaker 1: when those polls are asking about populism, they're not distinguishing 816 00:51:34,160 --> 00:51:39,080 Speaker 1: between left and right population, it seems like you're mentioning 817 00:51:39,120 --> 00:51:42,080 Speaker 1: like Bolsonaro and stuff that seems like that's more right 818 00:51:42,160 --> 00:51:47,120 Speaker 1: wing populism, whereas you know, left wing populism isn't necessarily 819 00:51:48,239 --> 00:51:51,440 Speaker 1: being represented there. Yep, that's another little trick they do 820 00:51:51,640 --> 00:51:57,160 Speaker 1: is populists like Trump and Bernie Sanders, and it's like, 821 00:51:58,560 --> 00:52:01,799 Speaker 1: did you find that his policy he became less popular. Yeah. 822 00:52:01,800 --> 00:52:04,920 Speaker 1: I remember during the election how they kept calling Bernie 823 00:52:05,000 --> 00:52:12,640 Speaker 1: Sanders Trumpien because he would like do a speech. Look 824 00:52:12,680 --> 00:52:15,640 Speaker 1: at him, he's all on behalf of the working poor. 825 00:52:16,160 --> 00:52:21,960 Speaker 1: What is this guy wagging his finger positively trumpion? Yeah, 826 00:52:22,520 --> 00:52:24,879 Speaker 1: absolutely all right, but we do have to talk about 827 00:52:24,880 --> 00:52:30,080 Speaker 1: this Dune bullshit. So Dune are two favorite things. Dune 828 00:52:30,160 --> 00:52:34,080 Speaker 1: and Crypto Bros. So cryptic. There's like a headline going 829 00:52:34,120 --> 00:52:36,800 Speaker 1: around about Crypto Bros. Spending three million dollars on a 830 00:52:36,880 --> 00:52:42,200 Speaker 1: Dune book. It's very kind of confusing, but basically so 831 00:52:42,560 --> 00:52:47,080 Speaker 1: there's a book with all the drawings that Jodorowski like 832 00:52:47,280 --> 00:52:52,799 Speaker 1: put together. And I'm not saying Joe Darrowski's Alejandro Jodorowski 833 00:52:53,360 --> 00:52:57,480 Speaker 1: j O d O r O ws K what if 834 00:52:57,520 --> 00:52:59,920 Speaker 1: you want to look it up, but he great our 835 00:53:00,040 --> 00:53:03,040 Speaker 1: just who was making going to make this fourteen hour 836 00:53:03,400 --> 00:53:07,399 Speaker 1: Dune with music from Pink Floyd, a cast including Orson 837 00:53:07,480 --> 00:53:12,480 Speaker 1: Welles and Salvador Dolly, just the people. There's a documentary 838 00:53:12,520 --> 00:53:15,000 Speaker 1: about it, and everyone's like really in love with his 839 00:53:15,160 --> 00:53:20,080 Speaker 1: vision for this movie. He created a giant book of 840 00:53:20,200 --> 00:53:23,200 Speaker 1: concept art that was sent out to potential backers that 841 00:53:23,320 --> 00:53:25,839 Speaker 1: made twenty at the time. Only around ten are thought 842 00:53:25,880 --> 00:53:29,560 Speaker 1: to still exist, and so some some of those books 843 00:53:29,600 --> 00:53:33,080 Speaker 1: went up to frop auction at Christie's. They were expecting 844 00:53:33,080 --> 00:53:36,400 Speaker 1: it to go for between twenty eight thousand and forty thousand, 845 00:53:36,520 --> 00:53:40,319 Speaker 1: and ended up selling nearly three million dollars for three 846 00:53:40,400 --> 00:53:44,759 Speaker 1: million dollars, which is more than those other estimates. Right 847 00:53:45,120 --> 00:53:50,439 Speaker 1: yeah wait, okay, so who are these ball in ass bros. Yeah, 848 00:53:50,680 --> 00:53:54,120 Speaker 1: So the winning bid was placed by a twenty five 849 00:53:54,200 --> 00:53:57,480 Speaker 1: year old cryptocurrency nerd and n f T collector acting 850 00:53:57,520 --> 00:54:01,080 Speaker 1: on behalf of the Spice Dow, a network of doom 851 00:54:01,200 --> 00:54:08,360 Speaker 1: loving cryptocurrency enthusiasts, and that the degree to which you 852 00:54:08,480 --> 00:54:12,120 Speaker 1: can raise money in the crypto world is kind of 853 00:54:12,480 --> 00:54:15,480 Speaker 1: was my main takeaway from this story. So he spent 854 00:54:15,560 --> 00:54:17,360 Speaker 1: three million of his own money, but was looking to 855 00:54:17,400 --> 00:54:21,320 Speaker 1: get paid back by the Decentralized Autonomous Organization DOW d 856 00:54:21,480 --> 00:54:24,239 Speaker 1: a O, which is basically an Internet community with a 857 00:54:24,280 --> 00:54:27,240 Speaker 1: bank account. He asked the DOW for six million dollars 858 00:54:27,440 --> 00:54:30,840 Speaker 1: because three point eight million after taxes and legal fees 859 00:54:31,320 --> 00:54:36,280 Speaker 1: equals six million dollars and another two point two million 860 00:54:36,440 --> 00:54:43,800 Speaker 1: to make an animated film inspired by his vision. So 861 00:54:44,080 --> 00:54:46,640 Speaker 1: it's like a crypto go fund me. Yeah, a little 862 00:54:46,719 --> 00:54:48,279 Speaker 1: dat and switch there. I don't know if you guys 863 00:54:48,520 --> 00:54:55,680 Speaker 1: noticed that, but crypto investors are goalible. Went from I 864 00:54:55,800 --> 00:54:58,320 Speaker 1: bought this book for this amount of money too, I 865 00:54:58,400 --> 00:55:01,000 Speaker 1: bought this book and really it was for double that 866 00:55:01,040 --> 00:55:04,120 Speaker 1: amount of money that was reported. And also I would 867 00:55:04,160 --> 00:55:07,440 Speaker 1: like an additional two point two million dollars to make 868 00:55:07,520 --> 00:55:11,279 Speaker 1: a cartoon, even though you've never seen any work by 869 00:55:11,360 --> 00:55:14,640 Speaker 1: me and I'm just a crypto bro. Surely you're not 870 00:55:14,880 --> 00:55:19,400 Speaker 1: saying that crypto bros who will guilelessly click on a 871 00:55:19,480 --> 00:55:22,000 Speaker 1: tweet under an Elon Musk tweet that says like, hey, 872 00:55:22,120 --> 00:55:25,200 Speaker 1: free crypto giveaway and then lose like four hundred thousand 873 00:55:25,239 --> 00:55:28,400 Speaker 1: dollars in crypto by doing that because they think that 874 00:55:28,560 --> 00:55:30,520 Speaker 1: Elon Musk is tweeting it, even though it's a different 875 00:55:30,520 --> 00:55:35,120 Speaker 1: account tweeting it. You're saying those people might have gotten scammed. Yeah, 876 00:55:36,280 --> 00:55:39,279 Speaker 1: I know, it's hard to believe the community. So this 877 00:55:39,480 --> 00:55:43,160 Speaker 1: is the part where my head started to spend. The community, 878 00:55:43,200 --> 00:55:46,800 Speaker 1: which apparently includes Grimes among its members, So there is 879 00:55:46,880 --> 00:55:50,320 Speaker 1: a tangential connection to Elon Musk ended up raising between 880 00:55:50,400 --> 00:55:56,120 Speaker 1: eleven and twelve million dollars. Okay, go all you some money. Honestly, 881 00:55:56,160 --> 00:56:01,640 Speaker 1: we're stupid as fun. We just don't. You're stealing straight 882 00:56:01,719 --> 00:56:05,520 Speaker 1: crypto off of people. That is what cryptos for though, 883 00:56:05,600 --> 00:56:10,000 Speaker 1: it's we didn't have enough things too, Like the tech 884 00:56:10,080 --> 00:56:12,160 Speaker 1: billionaires didn't have enough thing to do, things to do 885 00:56:12,239 --> 00:56:15,480 Speaker 1: with their money, so this is h Yeah, this gives 886 00:56:15,520 --> 00:56:19,360 Speaker 1: them dumb ship to do with their money. So like, 887 00:56:19,560 --> 00:56:21,120 Speaker 1: and how does this work right, because you're saying it's 888 00:56:21,120 --> 00:56:24,200 Speaker 1: like a crypto community with a bank account, so a Sensibly, 889 00:56:24,239 --> 00:56:27,040 Speaker 1: it's like he's pitching this vision of like I will 890 00:56:27,080 --> 00:56:30,719 Speaker 1: acquire the book and then you guys are gonna be 891 00:56:30,920 --> 00:56:35,560 Speaker 1: like producers like of the thing or what what? What's 892 00:56:35,680 --> 00:56:38,279 Speaker 1: how are they incentivized to participate in the So if 893 00:56:38,320 --> 00:56:40,360 Speaker 1: you buy a book, how does that give you the 894 00:56:40,600 --> 00:56:45,279 Speaker 1: rights to Katie? These are questions. It sounds like you 895 00:56:45,400 --> 00:56:48,880 Speaker 1: might you might should have been involved in the Branton 896 00:56:48,960 --> 00:56:53,160 Speaker 1: Storm session before anybody started this project. So Miles, you 897 00:56:53,640 --> 00:56:56,040 Speaker 1: you did ask an interesting question. What do they get 898 00:56:56,160 --> 00:56:58,480 Speaker 1: how do they get back? It is of course in 899 00:56:58,880 --> 00:57:03,799 Speaker 1: uh dollar signs spice tokens, and so that is just fake. 900 00:57:04,080 --> 00:57:06,759 Speaker 1: So you get for your real world money, fake spice money, 901 00:57:07,320 --> 00:57:10,279 Speaker 1: like doing doing money. And also you get a chance 902 00:57:10,320 --> 00:57:13,040 Speaker 1: to vote on what actually happens with the book, A 903 00:57:13,719 --> 00:57:16,160 Speaker 1: chance to vote, like in the United States where it's 904 00:57:16,200 --> 00:57:19,840 Speaker 1: not guaranteed. I don't know, you might vote. A chance 905 00:57:19,920 --> 00:57:25,280 Speaker 1: to fucking vote. Yeah, dog, you're that's my vote. Party 906 00:57:26,720 --> 00:57:29,480 Speaker 1: jam pointed out that that is a worse investment than 907 00:57:29,920 --> 00:57:32,440 Speaker 1: just actual spice, any spice. If you just put that 908 00:57:32,480 --> 00:57:36,640 Speaker 1: money in like cinnamon or something cinnamon, cinnamon futures, you 909 00:57:36,680 --> 00:57:40,680 Speaker 1: would do much better. But spiced out Twitter tweeted out 910 00:57:40,720 --> 00:57:43,520 Speaker 1: their mission, which includes making the book public to the 911 00:57:43,600 --> 00:57:46,400 Speaker 1: extent permitted by law, and to produce an original animated 912 00:57:46,480 --> 00:57:49,000 Speaker 1: limited series inspired by the book and sell it to 913 00:57:49,080 --> 00:57:54,960 Speaker 1: a streaming service. It's just so easy. But owning a 914 00:57:55,120 --> 00:57:58,320 Speaker 1: physical book doesn't give you the rights to that book. 915 00:57:59,200 --> 00:58:03,000 Speaker 1: I have a I have a copy of the Pelican 916 00:58:03,080 --> 00:58:05,640 Speaker 1: Brief from the nineties, and so I have the I'm 917 00:58:05,680 --> 00:58:10,360 Speaker 1: shopping it around to two investors to possibly make it 918 00:58:10,440 --> 00:58:13,840 Speaker 1: into a movie, a movie like remake it maybe an 919 00:58:14,000 --> 00:58:16,800 Speaker 1: entire fictional series. I don't know. I have a copy 920 00:58:16,880 --> 00:58:22,360 Speaker 1: of the Bible, so thank you, Mel Gibson owes me 921 00:58:22,520 --> 00:58:27,440 Speaker 1: some royalties. So people are pointing out that that's not 922 00:58:27,600 --> 00:58:32,720 Speaker 1: how things work, or like making the book public is 923 00:58:32,800 --> 00:58:36,800 Speaker 1: also a bit concerning because there was some discussion within 924 00:58:36,880 --> 00:58:39,040 Speaker 1: the community of turning its content into n f t 925 00:58:39,200 --> 00:58:42,400 Speaker 1: s and then burning the actual book in order to 926 00:58:42,480 --> 00:58:44,800 Speaker 1: make the n f t s more valuable. Just because 927 00:58:44,880 --> 00:58:48,080 Speaker 1: we've like gone into a world without any sort of 928 00:58:48,440 --> 00:58:54,160 Speaker 1: gravitational like pool of logic. It's just sure, so if 929 00:58:54,240 --> 00:58:57,720 Speaker 1: you do this, then maybe it'll go up temporarily. And 930 00:58:57,840 --> 00:59:04,560 Speaker 1: then don't this bice tokens or real money just use 931 00:59:04,640 --> 00:59:08,600 Speaker 1: its pages to print out a bunch of board apes. Yeah. 932 00:59:09,040 --> 00:59:12,800 Speaker 1: One user even suggested burning the book. So nobody has 933 00:59:12,880 --> 00:59:16,400 Speaker 1: sued over copyright claims when the scans go public, which 934 00:59:16,480 --> 00:59:20,080 Speaker 1: is not how like anything in the world works, do 935 00:59:20,240 --> 00:59:24,280 Speaker 1: they think do they think the book is alive? Do 936 00:59:24,400 --> 00:59:26,880 Speaker 1: they think like the book would be the ones suing them? 937 00:59:27,000 --> 00:59:30,440 Speaker 1: And there it's like we got to murder the book. Hey, nobody, 938 00:59:30,560 --> 00:59:33,320 Speaker 1: no crime. Man, If we kill the book the book, 939 00:59:33,920 --> 00:59:38,000 Speaker 1: we control the book. Yeah. Like and also like by 940 00:59:38,040 --> 00:59:42,440 Speaker 1: this logic, if I'm streaming the New Matrix film, but 941 00:59:42,680 --> 00:59:45,600 Speaker 1: because I like destroyed a DVD I had of it 942 00:59:45,960 --> 00:59:48,400 Speaker 1: that's supposed to like absolve me of any kind of 943 00:59:48,520 --> 00:59:52,520 Speaker 1: like wrongdoing. And I'm really having trouble with Like, I 944 00:59:52,680 --> 00:59:55,280 Speaker 1: don't think that's what they mean. They say, burning a 945 00:59:55,440 --> 00:59:59,360 Speaker 1: copy of a tvd AM I right, only nineties kids 946 00:59:59,360 --> 01:00:06,760 Speaker 1: will get that. The I mean, so, like keep keeping 947 01:00:06,840 --> 01:00:10,360 Speaker 1: in mind that what they're talking about is like if 948 01:00:10,400 --> 01:00:14,800 Speaker 1: this was an original book of art by somebody that 949 01:00:15,080 --> 01:00:17,520 Speaker 1: had like passed in the public domain, like some of 950 01:00:17,600 --> 01:00:21,520 Speaker 1: this might make sense. But not only is this, you know, 951 01:00:21,640 --> 01:00:24,040 Speaker 1: more recent than that and hasn't passed in the public domain, 952 01:00:24,480 --> 01:00:28,600 Speaker 1: it is an adaptation of a famous novel that was 953 01:00:28,760 --> 01:00:33,080 Speaker 1: just adapted by like a major Hollywood studio that has 954 01:00:33,720 --> 01:00:39,720 Speaker 1: all the lawyers in the world that it's disposal to. Yeah, 955 01:00:40,880 --> 01:00:44,840 Speaker 1: and yeah, so I mean it seems like this might 956 01:00:44,960 --> 01:00:48,560 Speaker 1: just be hiding like the a small motive of somebody 957 01:00:48,720 --> 01:00:52,680 Speaker 1: like who wants to you know, whip up interest in 958 01:00:53,440 --> 01:00:57,480 Speaker 1: some unrelated projects, piling all this bullshit on top of it. 959 01:00:58,040 --> 01:01:02,320 Speaker 1: But it just seems like people aren't aware of what 960 01:01:02,520 --> 01:01:05,680 Speaker 1: they're doing with their money. They don't know what adapting 961 01:01:05,720 --> 01:01:10,800 Speaker 1: the book actually means. And yeah, it reveals like so 962 01:01:10,920 --> 01:01:13,800 Speaker 1: many things. Like you know, it's like the energy of 963 01:01:13,960 --> 01:01:16,400 Speaker 1: these people too, where it's like, yeah, man, we're on 964 01:01:16,440 --> 01:01:18,600 Speaker 1: the cutting edge and we don't even know what the 965 01:01:18,720 --> 01:01:23,040 Speaker 1: laws are, right, and like that's not even a like 966 01:01:23,160 --> 01:01:26,400 Speaker 1: a deterring force if they don't know how books work. 967 01:01:27,480 --> 01:01:30,720 Speaker 1: I there must be a parallel to like the plot 968 01:01:30,800 --> 01:01:34,920 Speaker 1: of Dune. I'm just not familiar enough with Dune to 969 01:01:35,160 --> 01:01:37,360 Speaker 1: like be like, yeah, this this is like when Paul 970 01:01:37,440 --> 01:01:40,600 Speaker 1: Trades like bought a bunch of like spice nuts and 971 01:01:41,680 --> 01:01:44,400 Speaker 1: you know, try to make a movie out of a 972 01:01:44,680 --> 01:01:51,280 Speaker 1: book spice. I don't know, they come warm. It's like 973 01:01:51,360 --> 01:01:53,800 Speaker 1: a warm poop, right, the spice. Yeah, I think it 974 01:01:53,920 --> 01:01:56,640 Speaker 1: is actually worm poop. That's okay. You know, if if 975 01:01:56,720 --> 01:01:59,040 Speaker 1: you can't respect the culture of our rackus, then you 976 01:01:59,080 --> 01:02:02,680 Speaker 1: shouldn't even begin to wade into these waters. For it's 977 01:02:02,720 --> 01:02:05,440 Speaker 1: just really gonna just really gonna just highlight how ignorant 978 01:02:05,480 --> 01:02:11,520 Speaker 1: you are. So just the ultimate problem is like any 979 01:02:11,920 --> 01:02:15,320 Speaker 1: similarity that this project that they claimed to be like 980 01:02:15,440 --> 01:02:18,000 Speaker 1: trying or that they might see really be trying to 981 01:02:18,640 --> 01:02:23,400 Speaker 1: whip up enthusiasm for any similarity it has to the 982 01:02:23,440 --> 01:02:29,640 Speaker 1: original Dune or Jodorowski's unproduced film, like they have already 983 01:02:29,720 --> 01:02:32,520 Speaker 1: said that it's inspired by that, so like you already 984 01:02:32,600 --> 01:02:37,640 Speaker 1: have as the like central like nut of the idea. 985 01:02:37,880 --> 01:02:40,240 Speaker 1: The thing that would make it illegal were to ever 986 01:02:41,000 --> 01:02:46,120 Speaker 1: get investment Plan B of just renaming its sand planet 987 01:02:46,400 --> 01:02:50,080 Speaker 1: is probably not gonna work. It's not gonna work, unfortunately. 988 01:02:51,880 --> 01:02:55,400 Speaker 1: This like also exhibit A, this is a tweet from 989 01:02:55,520 --> 01:02:59,400 Speaker 1: at the Spice Dow. We want just like their whole 990 01:02:59,480 --> 01:03:03,880 Speaker 1: plan is there in a suite, right, there's no you 991 01:03:03,960 --> 01:03:07,320 Speaker 1: have no defense. You've already said we intend to iterate 992 01:03:08,000 --> 01:03:13,280 Speaker 1: and creative derivative works based on this intellectual property. And 993 01:03:13,480 --> 01:03:16,600 Speaker 1: I do understand, like the black chain is cool. There 994 01:03:16,640 --> 01:03:19,000 Speaker 1: are like cool things about n f t s, but 995 01:03:19,360 --> 01:03:22,080 Speaker 1: this is the reason we make kind of like the 996 01:03:22,160 --> 01:03:29,600 Speaker 1: whole market was a huge failure. The N two. Yeah, 997 01:03:30,120 --> 01:03:32,520 Speaker 1: god it's it's not as bad as the Popeye Jones 998 01:03:32,600 --> 01:03:36,760 Speaker 1: Ones I bought, so don't worry about it. Oh, just 999 01:03:36,880 --> 01:03:39,120 Speaker 1: a cool thing that is being done with cryptos. I 1000 01:03:39,200 --> 01:03:44,320 Speaker 1: think NGOs in Afghanistan are trying to bypass the sanctions 1001 01:03:44,640 --> 01:03:48,960 Speaker 1: with some crypto because there's a whole famine situation. They're 1002 01:03:49,080 --> 01:03:52,440 Speaker 1: killing a bunch of people. Yeah, and how quickly the 1003 01:03:52,520 --> 01:03:54,760 Speaker 1: news changes in the US. Yeah, I mean it's not 1004 01:03:54,840 --> 01:03:58,640 Speaker 1: gonna it's not gonna like save everyone, but at least 1005 01:03:58,720 --> 01:04:02,479 Speaker 1: it's something that's happening. You know. They're very very cool 1006 01:04:02,520 --> 01:04:06,400 Speaker 1: theoretical things about that, you know, the some of the 1007 01:04:06,480 --> 01:04:08,200 Speaker 1: things that could be done with n f T S 1008 01:04:08,320 --> 01:04:12,240 Speaker 1: and black chain, and it just feels like there's also 1009 01:04:13,000 --> 01:04:16,200 Speaker 1: a giant universe of incredibly dumb ship that is being 1010 01:04:16,280 --> 01:04:20,680 Speaker 1: done with it and also being like marketed to the 1011 01:04:21,040 --> 01:04:23,600 Speaker 1: type of people who might listen to our podcast. So 1012 01:04:24,000 --> 01:04:26,600 Speaker 1: I don't know, That's that's my point of view on 1013 01:04:26,720 --> 01:04:29,600 Speaker 1: it is like it seems like unless there's like a 1014 01:04:29,720 --> 01:04:33,840 Speaker 1: very concrete and clear way that this is being used 1015 01:04:33,880 --> 01:04:36,600 Speaker 1: to help people, I would be very very mean. That's 1016 01:04:36,640 --> 01:04:38,680 Speaker 1: the thing. It's like, for all those examples like the 1017 01:04:38,720 --> 01:04:40,640 Speaker 1: one Katie brings up, the things that get all the 1018 01:04:40,720 --> 01:04:44,720 Speaker 1: air time are just like the the grossest versions of it, 1019 01:04:45,600 --> 01:04:48,520 Speaker 1: you know. And and I think that and and because 1020 01:04:48,600 --> 01:04:52,200 Speaker 1: of just where we find ourselves societally, like there's nothing 1021 01:04:52,280 --> 01:04:56,919 Speaker 1: more appealing than get rich quick strategy, Like there isn't 1022 01:04:57,120 --> 01:05:01,520 Speaker 1: and this it's today's like the wikis path, or seemingly 1023 01:05:01,600 --> 01:05:05,600 Speaker 1: the path of least resistance to wealth and and you 1024 01:05:05,680 --> 01:05:07,680 Speaker 1: get a lot of people who aren't as you know, 1025 01:05:07,840 --> 01:05:10,800 Speaker 1: aware of like what a good financial investment is, and 1026 01:05:10,880 --> 01:05:13,840 Speaker 1: then it can turn into bad stuff. But just like 1027 01:05:14,400 --> 01:05:18,640 Speaker 1: Spice on the Dune planet, there we go brought it 1028 01:05:18,680 --> 01:05:23,680 Speaker 1: bod investment turned into bad stuff. Well, Katie as always 1029 01:05:24,000 --> 01:05:26,959 Speaker 1: such a pleasure having you here to interpret the book 1030 01:05:27,240 --> 01:05:32,360 Speaker 1: Dune for us. Where can people find you and follow? Yeah? 1031 01:05:32,680 --> 01:05:35,800 Speaker 1: Of course I host another I Heart Radio podcast called 1032 01:05:35,880 --> 01:05:39,680 Speaker 1: Creature Feature where we talk about animals and all the 1033 01:05:39,840 --> 01:05:44,480 Speaker 1: weird things that creepy things and cool things that they do. Uh. 1034 01:05:44,600 --> 01:05:47,720 Speaker 1: And you can find me on Twitter at Katie Golden 1035 01:05:47,880 --> 01:05:51,400 Speaker 1: k A T I E G O L D I N. Yeah, 1036 01:05:51,600 --> 01:05:55,200 Speaker 1: that's you know, I'm around. Yeah. Yeah. Is there a 1037 01:05:55,280 --> 01:05:57,560 Speaker 1: tweet or some of the work of social media you've 1038 01:05:57,560 --> 01:06:01,960 Speaker 1: been enjoying? Yes, In fact, I mean this is somewhat 1039 01:06:02,000 --> 01:06:04,520 Speaker 1: of a visual thing, so I highly encourage people look 1040 01:06:04,560 --> 01:06:08,040 Speaker 1: it up. But this is from at riot Girl Aaron 1041 01:06:08,280 --> 01:06:13,240 Speaker 1: on Twitter who did an amazing thread as kirston cinema 1042 01:06:13,880 --> 01:06:17,960 Speaker 1: as porta potties, And what this threat is is Kirsten 1043 01:06:18,080 --> 01:06:21,600 Speaker 1: Cinema juxtaposed with a porta potty and the porta potty 1044 01:06:21,800 --> 01:06:26,920 Speaker 1: is exactly color matched to Kirston Cinema's stupid outfits. And 1045 01:06:27,200 --> 01:06:33,040 Speaker 1: it is a whole thread of like twenty different porta potties, 1046 01:06:33,520 --> 01:06:40,080 Speaker 1: all exactly precisely matching Kirsten Cinema's stupid outfits. It's incredible. 1047 01:06:40,440 --> 01:06:43,160 Speaker 1: It's like a work of art. The amount of effort 1048 01:06:43,600 --> 01:06:46,640 Speaker 1: that went into finding the perfect porta potty to match 1049 01:06:47,120 --> 01:06:52,320 Speaker 1: Kirsten's cinema style. It's it's breathtaking. It's amazing. Oh man. 1050 01:06:52,720 --> 01:06:54,800 Speaker 1: Oh so it's like almost like that ball House account 1051 01:06:54,880 --> 01:06:59,440 Speaker 1: where it's like taking snapshots of like and like finding 1052 01:06:59,480 --> 01:07:02,960 Speaker 1: it's like all and like fine classic art. Yeah. I love. 1053 01:07:03,200 --> 01:07:06,120 Speaker 1: I love like when people have that talent to just 1054 01:07:06,200 --> 01:07:09,160 Speaker 1: sort of be like no, and this dumpster or this 1055 01:07:09,440 --> 01:07:12,880 Speaker 1: toilet is this senator. It's so creative and it's not 1056 01:07:13,000 --> 01:07:16,000 Speaker 1: it's also like not just the color of the porta potties, 1057 01:07:16,040 --> 01:07:20,360 Speaker 1: it's also the style. Somehow, it's an ineffable quality that 1058 01:07:21,200 --> 01:07:24,680 Speaker 1: this Twitter captures about this porta potty that just kind 1059 01:07:24,720 --> 01:07:29,400 Speaker 1: of captures the essence of Christen Cinnement. It's amazing, beautiful, 1060 01:07:29,800 --> 01:07:32,560 Speaker 1: it is, you know, our greatest work of our our 1061 01:07:32,600 --> 01:07:35,040 Speaker 1: greatest contribution to the art world. I think as a 1062 01:07:35,240 --> 01:07:38,240 Speaker 1: as a culture in this moment, miles Where can people 1063 01:07:38,280 --> 01:07:40,640 Speaker 1: find you? And what is a tweet you've been enjoying? Oh, 1064 01:07:40,880 --> 01:07:43,680 Speaker 1: you can find me on Twitter and Instagram at Miles 1065 01:07:43,760 --> 01:07:46,880 Speaker 1: of Gray. Also, if you like reality TV, checkout for 1066 01:07:47,520 --> 01:07:52,360 Speaker 1: Fiance with Me and Sophia Alexandra talking ninety day fiance Married, 1067 01:07:52,400 --> 01:07:55,360 Speaker 1: a first Sight all of that. Some tweets that I like. 1068 01:07:55,720 --> 01:07:59,680 Speaker 1: First one is from Paula Vigan Alan you know fairly 1069 01:08:00,000 --> 01:08:02,520 Speaker 1: cular guests on the show, tweeted, I don't care what 1070 01:08:02,680 --> 01:08:05,200 Speaker 1: you say. Pets can tell the disrespect when you pet 1071 01:08:05,280 --> 01:08:09,120 Speaker 1: them with your feet, and I was like, yo, my 1072 01:08:09,280 --> 01:08:14,760 Speaker 1: dog will bite my Oh yeah no, my dog would 1073 01:08:14,800 --> 01:08:16,760 Speaker 1: bite my toes off as well. You can't do that, 1074 01:08:17,400 --> 01:08:19,479 Speaker 1: isn't it what Katie helped me out here? I mean, 1075 01:08:19,520 --> 01:08:21,400 Speaker 1: I almost really is. Do you think they sense the 1076 01:08:21,439 --> 01:08:24,000 Speaker 1: disrespect or it feels like to them an active aggression 1077 01:08:24,000 --> 01:08:27,280 Speaker 1: because like feed her for walking and yeah, for my dog, 1078 01:08:27,360 --> 01:08:30,080 Speaker 1: I think it's she sees it as an attack because 1079 01:08:30,200 --> 01:08:32,920 Speaker 1: like she's small, she's a little little one, uh, and 1080 01:08:33,120 --> 01:08:37,720 Speaker 1: so she's occasionally tripped over or you know, like you 1081 01:08:37,800 --> 01:08:40,080 Speaker 1: get a you get a pinky toe on her paw 1082 01:08:40,160 --> 01:08:43,439 Speaker 1: and then she freaks out. So her feet are sort 1083 01:08:43,520 --> 01:08:46,640 Speaker 1: of like a nemesis, and so to touch her with 1084 01:08:46,880 --> 01:08:50,439 Speaker 1: the foot is an attack. I try even with my 1085 01:08:50,560 --> 01:08:53,639 Speaker 1: dog so nice. I try and do the most gentle 1086 01:08:53,840 --> 01:08:56,840 Speaker 1: finesse with my foot because it's something I'm very actively 1087 01:08:56,960 --> 01:08:59,240 Speaker 1: experimenting with to see if there is a version when 1088 01:08:59,280 --> 01:09:02,559 Speaker 1: the dog will except never never confined, write one um 1089 01:09:02,640 --> 01:09:05,280 Speaker 1: and the Another tree to like is from at Merman five. 1090 01:09:05,640 --> 01:09:08,320 Speaker 1: And this is parenthetical, making up ghost story as I 1091 01:09:08,400 --> 01:09:18,439 Speaker 1: go along. But this was no ordinary Honda Chord ship. 1092 01:09:19,000 --> 01:09:27,120 Speaker 1: That's great, great stuff. Some tweets I've been enjoying handsome, 1093 01:09:27,160 --> 01:09:30,320 Speaker 1: beat charming tweeted quitting smoking is so easy for me 1094 01:09:30,479 --> 01:09:32,960 Speaker 1: that I keep starting again because I know how easy 1095 01:09:33,040 --> 01:09:35,280 Speaker 1: it is for me to quit, and it's no problem. 1096 01:09:36,520 --> 01:09:41,599 Speaker 1: That's an underrated part of the difficulty of quitting smoking. Yeah. 1097 01:09:42,360 --> 01:09:47,759 Speaker 1: Page six tweeted a picture of the machine guns machine 1098 01:09:47,800 --> 01:09:53,240 Speaker 1: Gun Kelly and Megan fox Ster and Mrs machine Gun 1099 01:09:54,520 --> 01:09:58,360 Speaker 1: and she's wearing a black dress that has sex written 1100 01:09:58,400 --> 01:10:02,280 Speaker 1: across the chess part and page six said Megan fox 1101 01:10:02,400 --> 01:10:06,560 Speaker 1: makes a statement in sex shirt. Reread delicious to retweeted 1102 01:10:06,560 --> 01:10:11,760 Speaker 1: and said whoa, I wonder what it means. And then 1103 01:10:12,120 --> 01:10:17,080 Speaker 1: Eliana dr PhD tweeted neutral milk hotel is Bob Dylan 1104 01:10:17,200 --> 01:10:20,840 Speaker 1: for people whose Vietnam War is not having a girlfriend. 1105 01:10:24,920 --> 01:10:28,280 Speaker 1: I do. I love them both though. Wow. You can 1106 01:10:28,320 --> 01:10:32,040 Speaker 1: find me on Twitter at Jack Underscore O'Brien that you 1107 01:10:32,080 --> 01:10:34,800 Speaker 1: can find us on Twitter at Daily zeit Guys were 1108 01:10:34,800 --> 01:10:37,439 Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook 1109 01:10:37,439 --> 01:10:39,680 Speaker 1: fan page on our website, Daily zeit Geist dot com 1110 01:10:39,760 --> 01:10:43,519 Speaker 1: where we post our episodes and our foot no where 1111 01:10:43,520 --> 01:10:45,160 Speaker 1: we link off to the information that we talked about 1112 01:10:45,160 --> 01:10:47,600 Speaker 1: in today's episode, as well as a song that we 1113 01:10:47,720 --> 01:10:52,760 Speaker 1: think you might enjoy. Miles, what song are you recommending 1114 01:10:53,080 --> 01:10:57,160 Speaker 1: they go check out? Um? I recommend they check out 1115 01:10:57,240 --> 01:11:02,280 Speaker 1: the artist Alphamist from east Ham, London. Great, just you 1116 01:11:02,360 --> 01:11:05,760 Speaker 1: know a producer, um guessing a musician, but like if 1117 01:11:05,800 --> 01:11:09,760 Speaker 1: you like the sounds of like j Dilla or let's 1118 01:11:09,800 --> 01:11:13,680 Speaker 1: see high Tech, you know who famously would produce like 1119 01:11:13,760 --> 01:11:16,280 Speaker 1: Tell Live and most Deft albums. You're gonna like this 1120 01:11:16,400 --> 01:11:19,800 Speaker 1: track and it's called organic Rust and it's not like 1121 01:11:19,880 --> 01:11:21,919 Speaker 1: really sample have it was like a lot of live instruments, 1122 01:11:22,000 --> 01:11:24,840 Speaker 1: but they're really the beat is really like syncopated and 1123 01:11:24,960 --> 01:11:28,360 Speaker 1: wonky uh and there's like a nice electric piano in it. 1124 01:11:28,439 --> 01:11:31,680 Speaker 1: So check this out. Organic rust alpha missed alpha with 1125 01:11:31,760 --> 01:11:35,200 Speaker 1: the f uh. So it's like a less or a 1126 01:11:35,280 --> 01:11:40,000 Speaker 1: more alpha version of the Alchemists. Is that what they're 1127 01:11:40,040 --> 01:11:42,760 Speaker 1: going for? Maybe? I don't know. We'll have to we 1128 01:11:42,800 --> 01:11:45,600 Speaker 1: have to ask. Alright, Well, The Daily Zey Gays a 1129 01:11:45,640 --> 01:11:49,000 Speaker 1: production by Heart Radio for more podcasts from her radio 1130 01:11:49,640 --> 01:11:52,599 Speaker 1: radio app, Apple podcast or wherever you're listening your favorite shows. 1131 01:11:53,120 --> 01:11:54,760 Speaker 1: That is going to do it for us on this 1132 01:11:54,880 --> 01:11:57,120 Speaker 1: Thursday morning. But we're back this afternoon to tell you 1133 01:11:57,200 --> 01:12:00,400 Speaker 1: what's trending and we will talk to y'all that by 1134 01:12:00,640 --> 01:12:00,960 Speaker 1: fine