1 00:00:00,440 --> 00:00:03,680 Speaker 1: Hello the Internet, and welcome to Season to sixty, episode 2 00:00:03,720 --> 00:00:07,640 Speaker 1: one of Daly's I Guys Stay production of I Heart Radio. 3 00:00:08,160 --> 00:00:10,440 Speaker 1: This is a podcast where we take a deep dive 4 00:00:10,480 --> 00:00:14,240 Speaker 1: into America's share consciousness. And my windows are open, and 5 00:00:14,280 --> 00:00:17,560 Speaker 1: I just realized that means that the scream that my 6 00:00:17,600 --> 00:00:19,639 Speaker 1: wife has to like plan her day or I can't 7 00:00:19,840 --> 00:00:23,640 Speaker 1: be having, you know, doing telemedicine in the in the 8 00:00:23,680 --> 00:00:26,200 Speaker 1: house when I do the scream or like has to 9 00:00:26,480 --> 00:00:30,640 Speaker 1: you know, go to a closet and surround yourself with coats. Well, 10 00:00:30,680 --> 00:00:33,280 Speaker 1: that just happened to my whole neighborhood. So we'll we'll 11 00:00:33,320 --> 00:00:38,040 Speaker 1: see how that goes. Maybe we have to do German Ship. Yeah, maybe, 12 00:00:38,440 --> 00:00:40,920 Speaker 1: I don't know. I think it helps me energetically. Remember 13 00:00:40,920 --> 00:00:43,280 Speaker 1: when I tried to like step back from it, and 14 00:00:43,320 --> 00:00:45,199 Speaker 1: then I was like the walking you lost for a 15 00:00:45,200 --> 00:00:48,920 Speaker 1: whole of it. You lost lost my whole mojo. Anyways, 16 00:00:49,080 --> 00:00:55,160 Speaker 1: it's Monday, October, which of course means we are a 17 00:00:55,240 --> 00:00:59,840 Speaker 1: week celebrating sorry, a week away from Halloween. Oh yeah, 18 00:00:59,840 --> 00:01:02,120 Speaker 1: that to that too, That's yeah. It's also a National 19 00:01:02,120 --> 00:01:06,760 Speaker 1: Bologney Day, World Meningitis Day, World Tripe Day, United Nation's Day, 20 00:01:06,840 --> 00:01:09,760 Speaker 1: National Food day, shout out tripe, you know, shout at awful. 21 00:01:10,360 --> 00:01:13,320 Speaker 1: M hmm that. I feel like Bologna and Tripe Day 22 00:01:13,360 --> 00:01:19,320 Speaker 1: are kinda redundant because if Bologna isn't asshole's done, I'm 23 00:01:19,680 --> 00:01:22,360 Speaker 1: I don't know what's what anymore. You know, it's not 24 00:01:22,440 --> 00:01:28,440 Speaker 1: Jack O'Brien. I guess tripe is an assholes. It's intestines, right, Yeah, yeah, 25 00:01:28,440 --> 00:01:30,640 Speaker 1: he's gotta clean a good once. This clean. Well, it 26 00:01:30,720 --> 00:01:34,039 Speaker 1: tastes great. I mean, it still tastes a little gnarly, 27 00:01:34,240 --> 00:01:37,760 Speaker 1: but funk with it in the right Koreans too, I will. Yeah, yeah, 28 00:01:37,800 --> 00:01:41,640 Speaker 1: you gotta have in the right context. I'm telling you. Well. Anyways, 29 00:01:41,640 --> 00:01:45,720 Speaker 1: my name's Jack O'Brien. A kit Look at this photograph 30 00:01:46,520 --> 00:01:50,600 Speaker 1: was probably taken by Miles's dad. I wish I had 31 00:01:50,680 --> 00:01:54,920 Speaker 1: some mc hammer pants to cover my milk keith thighs 32 00:01:54,960 --> 00:01:58,760 Speaker 1: when I dance. As courtesy of Fighter of the Night 33 00:01:58,880 --> 00:02:03,760 Speaker 1: Man go back photograph. Appreciate people, you know, targeting my 34 00:02:03,840 --> 00:02:08,079 Speaker 1: favorite song for a Yeah, yeah, just one of the 35 00:02:08,120 --> 00:02:11,040 Speaker 1: one of the greats, one of the should be immediately 36 00:02:11,080 --> 00:02:14,480 Speaker 1: added to the American Songbook along with This Land as 37 00:02:14,520 --> 00:02:18,200 Speaker 1: Your Land. Anyways, I'm thrilled to be joined as always 38 00:02:18,240 --> 00:02:22,560 Speaker 1: by my co host, Mr Miles Gray. Yes, Miles Grade, 39 00:02:22,960 --> 00:02:27,720 Speaker 1: just getting back into town from East Coast trip. Thank 40 00:02:27,720 --> 00:02:30,000 Speaker 1: you so much for having me in a place that 41 00:02:30,080 --> 00:02:32,320 Speaker 1: had fall. I just want to say I might have 42 00:02:32,320 --> 00:02:35,720 Speaker 1: been in d C, but I am firmly in the valley, 43 00:02:35,800 --> 00:02:38,480 Speaker 1: So thank you. But it's also just a trip again 44 00:02:38,919 --> 00:02:42,440 Speaker 1: for you know, coming from like the desert drought hellscape, 45 00:02:42,440 --> 00:02:44,960 Speaker 1: that's l A where fall is more like, oh, look 46 00:02:45,000 --> 00:02:46,800 Speaker 1: at the leaves turning. You're like, no, that tree is dead, 47 00:02:47,400 --> 00:02:52,079 Speaker 1: Like actually seeing like the fall colors pretty beautiful. Yeah, 48 00:02:52,320 --> 00:02:55,160 Speaker 1: that's a there there are so many leaves that's wild 49 00:02:56,000 --> 00:02:58,440 Speaker 1: on the East coast anywhere that's not l A. What 50 00:02:58,480 --> 00:03:00,720 Speaker 1: do you do with all the fucking leaves? I'm sorry, 51 00:03:00,720 --> 00:03:03,160 Speaker 1: I'm showing my fucking like ignorance of somebody who like 52 00:03:03,280 --> 00:03:06,960 Speaker 1: lives in a forever one note place. But I saw 53 00:03:07,080 --> 00:03:08,560 Speaker 1: these leaves. I was like, you know what the funk 54 00:03:08,639 --> 00:03:11,040 Speaker 1: y'all doing? These leaves? Just leave them up, put them 55 00:03:11,040 --> 00:03:12,720 Speaker 1: in a pile, and jump at him. It's the whole 56 00:03:12,760 --> 00:03:16,840 Speaker 1: thing too, so traditional fault. But then people are saying, well, 57 00:03:16,880 --> 00:03:18,560 Speaker 1: you know you're not gonna be using your yard because 58 00:03:18,680 --> 00:03:21,360 Speaker 1: getting cold, so it's not gonna keep your yard in check. 59 00:03:21,720 --> 00:03:23,080 Speaker 1: But I don't know if that was like a lazy 60 00:03:23,120 --> 00:03:24,840 Speaker 1: take from somebody who's just sort of like and they 61 00:03:25,000 --> 00:03:29,840 Speaker 1: they're this biodegradable trash. Yeah yeah, I mean not everybody 62 00:03:29,840 --> 00:03:33,120 Speaker 1: wreaks him up. Sometimes you just have a thing of dark, 63 00:03:33,919 --> 00:03:39,480 Speaker 1: damp leaves, like where you got sick too? Oh hell yeah, 64 00:03:39,560 --> 00:03:42,520 Speaker 1: very slippery. Well, anyways, miles, we are thrilled to be 65 00:03:42,640 --> 00:03:45,840 Speaker 1: joined in our third seat by a hilarious and brilliant 66 00:03:45,840 --> 00:03:50,200 Speaker 1: stand up comedian, writer, actor, improviser, and biomedical engineer. You 67 00:03:50,240 --> 00:03:53,200 Speaker 1: can catch her on stages across the country. Please welcome 68 00:03:53,240 --> 00:03:56,120 Speaker 1: one of the funniest humans anywhere doing it. It's called 69 00:03:56,240 --> 00:04:02,000 Speaker 1: the Gala. What up? What are you? I feel like 70 00:04:02,160 --> 00:04:04,240 Speaker 1: they should have like, you know, like they should have 71 00:04:04,320 --> 00:04:07,240 Speaker 1: a fall leaf exchange program, you know what I mean, 72 00:04:07,640 --> 00:04:13,960 Speaker 1: send their leaves to less fortunate miles across the country. Yeah, Like, 73 00:04:14,080 --> 00:04:17,040 Speaker 1: I've always dreamed of this. Wait, where'd you grow up? 74 00:04:17,600 --> 00:04:21,559 Speaker 1: I grew up in Utah. That's all four seasons maybe, okay? Yeah, 75 00:04:21,800 --> 00:04:24,080 Speaker 1: so what's what do you do with? Is there a 76 00:04:24,120 --> 00:04:26,200 Speaker 1: thing to leaving them? Or like you wait till they 77 00:04:26,240 --> 00:04:28,520 Speaker 1: all fall and then you like, now break them ships 78 00:04:28,560 --> 00:04:31,000 Speaker 1: up because they all now they've all fallen down? Are 79 00:04:31,040 --> 00:04:34,360 Speaker 1: you are you asking if it all falls down? Well, 80 00:04:34,480 --> 00:04:38,200 Speaker 1: not like the not like the problematic artists of our time. No, 81 00:04:38,440 --> 00:04:40,159 Speaker 1: we just you know, you rank them as you go. 82 00:04:40,240 --> 00:04:42,520 Speaker 1: It depends on how many trees do you have. It 83 00:04:42,560 --> 00:04:46,040 Speaker 1: depends on like the type of tree. You know, you 84 00:04:46,120 --> 00:04:49,240 Speaker 1: got to make some you got to make some deciduous decisions. 85 00:04:49,440 --> 00:04:53,920 Speaker 1: You know what I mean? That spoken like somebody who 86 00:04:53,920 --> 00:05:00,520 Speaker 1: has been around this season. I had no tree okay, 87 00:05:00,120 --> 00:05:05,360 Speaker 1: the words for trees. It's crazy. What's good? How how 88 00:05:05,400 --> 00:05:10,279 Speaker 1: have you been? I've been good. Uh. I was in 89 00:05:10,279 --> 00:05:15,280 Speaker 1: India over the summer and then uh sorry, if there's noise, 90 00:05:15,320 --> 00:05:17,840 Speaker 1: there's roof work happening. They've been working on my roof 91 00:05:17,920 --> 00:05:20,280 Speaker 1: for I think since all of the time I've been here, 92 00:05:20,400 --> 00:05:22,599 Speaker 1: so like those people might just live up there. I 93 00:05:22,600 --> 00:05:27,200 Speaker 1: have no idea. Um, we're almost done, almost done. Yeah, yeah, 94 00:05:27,360 --> 00:05:30,799 Speaker 1: they're just like you know, the the work work work 95 00:05:30,880 --> 00:05:34,240 Speaker 1: that music video where it's just like who I forget 96 00:05:34,279 --> 00:05:35,960 Speaker 1: who it is. But they're just like they're using like 97 00:05:36,000 --> 00:05:38,680 Speaker 1: a wrench on like a on like one of those 98 00:05:38,720 --> 00:05:42,240 Speaker 1: big jack not jackhammers. But like one of those big 99 00:05:43,120 --> 00:05:46,120 Speaker 1: pipes cranes or whatever. Yeah, they're just like hitting nothing. 100 00:05:46,160 --> 00:05:47,960 Speaker 1: I feel like they're doing that. They're shooting a music 101 00:05:48,000 --> 00:05:51,599 Speaker 1: video up there NonStop. Yeah. So I was in India 102 00:05:51,640 --> 00:05:53,480 Speaker 1: over the summer, and then I was just in New York. 103 00:05:53,520 --> 00:05:57,960 Speaker 1: I got back yesterday, just like working and living life, 104 00:05:58,040 --> 00:06:00,960 Speaker 1: you know. And when you say working, like you were 105 00:06:01,000 --> 00:06:06,000 Speaker 1: performatively using big tools, like big wrenches and formatively using 106 00:06:06,040 --> 00:06:13,360 Speaker 1: big tools, That's how I would describe most comedy. Yeah. Well, 107 00:06:13,400 --> 00:06:17,120 Speaker 1: if you're in our King and Savior Carrot Tops form 108 00:06:17,160 --> 00:06:23,599 Speaker 1: of comedy, then yeah, I mean big tools tools. All right, Well, policy, 109 00:06:23,640 --> 00:06:24,960 Speaker 1: we're going to get to know you a little bit 110 00:06:24,960 --> 00:06:28,160 Speaker 1: better in a moment. First, we're gonna tell our listeners 111 00:06:28,200 --> 00:06:30,320 Speaker 1: just a couple of the things we might be talking 112 00:06:30,360 --> 00:06:34,320 Speaker 1: about today. We will check into the mid terms. We 113 00:06:34,360 --> 00:06:38,240 Speaker 1: will check in on the delivery robots that we've been 114 00:06:38,320 --> 00:06:42,000 Speaker 1: promised for so long. I have encountered a few of 115 00:06:42,000 --> 00:06:48,600 Speaker 1: them on the street. They are unimpressive, wildly unimpressive. So 116 00:06:48,640 --> 00:06:51,160 Speaker 1: we'll talk about that. How the future might not look 117 00:06:51,480 --> 00:06:55,040 Speaker 1: completely the way we we all feared a couple of 118 00:06:55,120 --> 00:06:57,920 Speaker 1: years ago, when Amazon was like, there's gonna be drones 119 00:06:58,520 --> 00:07:02,240 Speaker 1: just flying through the air are like mosquitoes. I don't 120 00:07:02,240 --> 00:07:04,680 Speaker 1: know why I'm pronouncing things weird today, but well we'll 121 00:07:04,720 --> 00:07:07,880 Speaker 1: go with mosquitoes and then we might even get into 122 00:07:08,000 --> 00:07:15,320 Speaker 1: the sectomy Mania. Yeah, it's a big professional wrestling event 123 00:07:15,480 --> 00:07:21,040 Speaker 1: coming up. Okay, I'm listening. Before we get to any 124 00:07:21,160 --> 00:07:24,360 Speaker 1: of that, Paula would like to ask our guest, what 125 00:07:24,560 --> 00:07:29,000 Speaker 1: is something from your search history? The last thing I 126 00:07:29,040 --> 00:07:34,440 Speaker 1: looked up was famous people from Lubbock because because I 127 00:07:34,480 --> 00:07:38,720 Speaker 1: was born there and my Uber driver was like Jimmy 128 00:07:38,800 --> 00:07:41,360 Speaker 1: Fox from there, and we found out he was from Terrell, Texas, 129 00:07:41,360 --> 00:07:43,080 Speaker 1: which is six and a half hours away. But you 130 00:07:43,120 --> 00:07:46,440 Speaker 1: know who was from Lubbock, Buddy Holly. Buddy Holly was 131 00:07:46,440 --> 00:07:50,400 Speaker 1: from Lubbock. Seem to be soon to be you on there? 132 00:07:50,440 --> 00:07:53,400 Speaker 1: You think you'll be on that name of notable. What 133 00:07:53,440 --> 00:07:58,640 Speaker 1: do you call someone from Lubbock? Labuckian? That's that has 134 00:07:58,680 --> 00:08:00,679 Speaker 1: to be. There's no other choice. Be a La Bucky 135 00:08:00,760 --> 00:08:04,280 Speaker 1: and and get at us. We have we have some 136 00:08:04,360 --> 00:08:09,200 Speaker 1: notes for you. We gotta keep it La buck. Let's 137 00:08:09,960 --> 00:08:19,360 Speaker 1: oh love a kite? That's like boring. Yeah, it's like 138 00:08:19,400 --> 00:08:24,200 Speaker 1: swash bucklery. You know what I mean yeah, yeah, Okay, wait, 139 00:08:24,240 --> 00:08:26,360 Speaker 1: so how long were you in love it before you was? 140 00:08:26,520 --> 00:08:28,720 Speaker 1: My parents lived there for a long time, but I 141 00:08:28,760 --> 00:08:31,120 Speaker 1: was three and a half almost four when we moved 142 00:08:31,160 --> 00:08:35,120 Speaker 1: to Utah. Yeah, but we we go back. We have 143 00:08:35,200 --> 00:08:38,280 Speaker 1: like family and family friends there, you know. Okay, Okay, 144 00:08:38,320 --> 00:08:42,440 Speaker 1: so still still something you visit. Yeah, yeah, and you 145 00:08:42,480 --> 00:08:44,360 Speaker 1: have you have family there, like I have a similar 146 00:08:44,400 --> 00:08:47,120 Speaker 1: relationship to Philadelphia, where like my whole families from there. 147 00:08:47,120 --> 00:08:49,080 Speaker 1: But I didn't, like really I don't have any like 148 00:08:49,160 --> 00:08:52,800 Speaker 1: formative memories there, but I think just through osmosis, I 149 00:08:52,880 --> 00:08:55,440 Speaker 1: get a lot of Yeah, I have that. I do 150 00:08:55,600 --> 00:08:57,800 Speaker 1: have like some of my first memories there, So I 151 00:08:57,840 --> 00:09:01,280 Speaker 1: do have like that a little bit. But yeah, some 152 00:09:01,400 --> 00:09:04,480 Speaker 1: of it's like just going back and hanging out, you know. Yeah, 153 00:09:04,480 --> 00:09:06,959 Speaker 1: what is your first Okay I hate to just kind 154 00:09:06,960 --> 00:09:08,840 Speaker 1: of go there with it like a stone thought, but 155 00:09:09,800 --> 00:09:13,760 Speaker 1: can you actually think back to what your first memory is? Yeah, 156 00:09:13,800 --> 00:09:17,640 Speaker 1: so my first not moving memory just like an image 157 00:09:17,960 --> 00:09:19,880 Speaker 1: my parents. I think this is what it is from 158 00:09:19,920 --> 00:09:23,280 Speaker 1: my parents stories. But it's like me alone and I'm 159 00:09:23,320 --> 00:09:26,440 Speaker 1: seeing like a wall of like fluorescent flashing lights, and 160 00:09:26,480 --> 00:09:29,840 Speaker 1: I think it's from when my dad and my uncle 161 00:09:30,240 --> 00:09:32,679 Speaker 1: like changed my diaper at the mall, and they both 162 00:09:32,800 --> 00:09:34,680 Speaker 1: left me because they thought that I was going with 163 00:09:34,720 --> 00:09:36,280 Speaker 1: the other one. And then I got lost in the 164 00:09:36,320 --> 00:09:42,280 Speaker 1: mall when I was two years old, like a baby genius. 165 00:09:43,800 --> 00:09:46,280 Speaker 1: It was like night at the museum. But at the mall, No, 166 00:09:46,800 --> 00:09:49,800 Speaker 1: some lady. My mom was like, oh yeah, some some lady, 167 00:09:49,920 --> 00:09:52,600 Speaker 1: like white lady like found you and she saw that 168 00:09:52,640 --> 00:09:55,720 Speaker 1: we looked the same because we had like similar like noses, 169 00:09:55,760 --> 00:09:57,200 Speaker 1: and they saw like whatever. And I was like, are 170 00:09:57,240 --> 00:09:59,120 Speaker 1: you just saying that lady was racist? Mom? And that's 171 00:09:59,120 --> 00:10:03,920 Speaker 1: how that's how I was saved by a race by racism. 172 00:10:03,960 --> 00:10:06,640 Speaker 1: That's wild, my I think it's it's so funny that 173 00:10:07,640 --> 00:10:09,920 Speaker 1: one of the most vivid first memories I have is 174 00:10:09,960 --> 00:10:14,679 Speaker 1: being lost in Central Park. My dad was with me 175 00:10:14,760 --> 00:10:16,880 Speaker 1: and then he turned around, but I just took off, 176 00:10:16,880 --> 00:10:20,240 Speaker 1: like at three or something, and my memory is of 177 00:10:20,640 --> 00:10:23,400 Speaker 1: is of me just crying in Central Park and like 178 00:10:23,440 --> 00:10:25,800 Speaker 1: a cop comes up to me and I was like, 179 00:10:25,840 --> 00:10:30,320 Speaker 1: don't touch me, bro, but three yeah, three, I was 180 00:10:30,360 --> 00:10:33,000 Speaker 1: I was with the ship no. But the guy was like, hey, yeah, 181 00:10:33,080 --> 00:10:34,320 Speaker 1: like what's going on. I was like, I don't know 182 00:10:34,360 --> 00:10:36,840 Speaker 1: where my dad is. And at the time. This is 183 00:10:36,840 --> 00:10:38,439 Speaker 1: the first time they said, what does he look like? 184 00:10:38,480 --> 00:10:43,280 Speaker 1: I had no concept of race, so uh, and I 185 00:10:43,360 --> 00:10:46,319 Speaker 1: pointed out another black dude. I was like, he's like him, 186 00:10:46,360 --> 00:10:49,480 Speaker 1: and they're like, all right, we gonna black. And they 187 00:10:49,520 --> 00:10:52,920 Speaker 1: brought a guy first, another black dude lost his guy 188 00:10:53,000 --> 00:10:54,880 Speaker 1: was like, not the same the guy. I was like, 189 00:10:55,000 --> 00:10:58,240 Speaker 1: I'm not taking this kid home. Yeah, and then my 190 00:10:58,320 --> 00:11:01,680 Speaker 1: dad came. He was like, oh, ship because I probably 191 00:11:01,800 --> 00:11:05,240 Speaker 1: men wandering around malls and parks losing their children. I 192 00:11:05,240 --> 00:11:07,800 Speaker 1: don't know. I don't know, but it's I think it 193 00:11:07,840 --> 00:11:10,079 Speaker 1: makes sense that that's like my first like real because 194 00:11:10,120 --> 00:11:12,400 Speaker 1: you were scared, right, Yeah, for sure. I was like, 195 00:11:12,440 --> 00:11:14,600 Speaker 1: I don't have any fear associated with it. I was 196 00:11:14,640 --> 00:11:18,600 Speaker 1: just like window shopping, you know. It's like the beginning 197 00:11:18,600 --> 00:11:23,000 Speaker 1: of Saturday night fever. Yeah. This is where I'm a 198 00:11:23,080 --> 00:11:28,160 Speaker 1: huge advocate for kid leashes. I'm totally for it. I'm like, hell, yeah, dude, 199 00:11:28,200 --> 00:11:30,800 Speaker 1: put them on a leash, you know, to to make 200 00:11:30,840 --> 00:11:33,720 Speaker 1: sure that they stopped pulling on that ship muzzle so 201 00:11:33,720 --> 00:11:37,760 Speaker 1: they stopped eating everything. You stop eating that. I just 202 00:11:37,800 --> 00:11:41,800 Speaker 1: gotta say, though, I mean, racism in the NYPD were 203 00:11:41,800 --> 00:11:45,800 Speaker 1: the heroes of those two. Yeah, first stories. Yeah, it 204 00:11:45,880 --> 00:11:52,559 Speaker 1: was a different that was I think. Yeah, our our 205 00:11:52,679 --> 00:11:57,079 Speaker 1: vital memories were copying. You know what, all this reminiscent 206 00:11:57,160 --> 00:11:59,920 Speaker 1: has reminded me of a little song that goes, look 207 00:12:00,040 --> 00:12:04,160 Speaker 1: get this photograph. Oh my god, it's probably taken by 208 00:12:04,880 --> 00:12:08,560 Speaker 1: his dad. Yeah, probably, like this is my son. Have 209 00:12:08,640 --> 00:12:12,720 Speaker 1: you seen him? He's I'm actually a good dad for real. Well, 210 00:12:12,720 --> 00:12:15,520 Speaker 1: my first memory is just boring, but it's wheeling, West Virginia. 211 00:12:15,600 --> 00:12:17,480 Speaker 1: And I just went back to the home where I 212 00:12:17,520 --> 00:12:20,760 Speaker 1: had my first memory over this and it was cool. 213 00:12:20,920 --> 00:12:24,559 Speaker 1: What is something you think is overrated? Okay, I just 214 00:12:24,640 --> 00:12:29,920 Speaker 1: started becoming vegan right and unfortunately it's working. Like I 215 00:12:29,960 --> 00:12:32,840 Speaker 1: feel much better, but I'm like I'm bad at it. 216 00:12:32,880 --> 00:12:35,760 Speaker 1: So I am hungry a lot, but I am like, oh, 217 00:12:36,040 --> 00:12:38,560 Speaker 1: like humans were not meant to eat dairy, so I 218 00:12:38,559 --> 00:12:42,160 Speaker 1: think dairy is overrated. Like every race is, like my 219 00:12:42,360 --> 00:12:45,400 Speaker 1: race is lactose intolerant because it and it's like we're 220 00:12:45,400 --> 00:12:49,040 Speaker 1: all lactose intolerant. None of us were meant to do 221 00:12:49,120 --> 00:12:53,640 Speaker 1: this to ourselves. True. I think like the Germans are 222 00:12:53,679 --> 00:12:57,800 Speaker 1: the only people who aren't lactose intolerant and everyone else. Yeah, 223 00:12:58,000 --> 00:13:00,840 Speaker 1: like my wife's lactose in't toleran. Being married to her 224 00:13:00,920 --> 00:13:03,360 Speaker 1: made me realize, oh yeah, I'm black toose intolerant. I 225 00:13:03,440 --> 00:13:07,000 Speaker 1: just have no concept of my body. So I was like, man, 226 00:13:07,280 --> 00:13:12,160 Speaker 1: that was gnarly in there. Yeah. We just think that 227 00:13:12,240 --> 00:13:15,120 Speaker 1: we're meant to be in physical pain when we're eating, 228 00:13:15,240 --> 00:13:19,680 Speaker 1: and it's like, no, what are we doing? Yeah, I 229 00:13:19,720 --> 00:13:22,200 Speaker 1: don't know how I got. I don't have that. I 230 00:13:22,240 --> 00:13:25,000 Speaker 1: have like whatever the opposite is, and my body's like, yeah, 231 00:13:25,040 --> 00:13:28,800 Speaker 1: you like that, here's some endorphins from jee like keep 232 00:13:28,800 --> 00:13:32,240 Speaker 1: going because I definitely don't like like you said, it's 233 00:13:32,240 --> 00:13:34,719 Speaker 1: so funny, like any ethnic group will be like, yeah, 234 00:13:34,760 --> 00:13:37,120 Speaker 1: you know a lot of Asian people don't eat dairy 235 00:13:37,200 --> 00:13:39,160 Speaker 1: or like a lot of Black people dairy or whatever, 236 00:13:39,240 --> 00:13:45,120 Speaker 1: and I'm just over here like I I don't know 237 00:13:45,160 --> 00:13:46,720 Speaker 1: what it is, but it's true. Like when I don't 238 00:13:46,720 --> 00:13:49,840 Speaker 1: eat meat, that's the biggest thing I noticed from not 239 00:13:49,920 --> 00:13:52,600 Speaker 1: having to digest my body having to break down meat 240 00:13:52,880 --> 00:13:55,319 Speaker 1: is like it's almost like I had an energy drink 241 00:13:55,360 --> 00:13:59,040 Speaker 1: when I don't have to. Yeah, just like, oh, you're 242 00:13:59,080 --> 00:14:02,439 Speaker 1: not bogged down from this biological process. My favorite part 243 00:14:02,520 --> 00:14:04,720 Speaker 1: of this is that I was like every race. Can't 244 00:14:05,200 --> 00:14:08,079 Speaker 1: you know eat dairy? And then Jack was like, actually 245 00:14:08,120 --> 00:14:16,040 Speaker 1: the Germans on the superior right one moment everyone accepted Germans. 246 00:14:17,960 --> 00:14:21,880 Speaker 1: They got everything. I just want to shout out my 247 00:14:21,960 --> 00:14:23,760 Speaker 1: German accent because I did not know how that would go. 248 00:14:24,600 --> 00:14:27,160 Speaker 1: All right, thank you kind of nailed it. You just 249 00:14:27,200 --> 00:14:29,440 Speaker 1: got a jump, you know, you just got a jump. Yeah, 250 00:14:29,760 --> 00:14:32,360 Speaker 1: I guess yesterday he was covering up his German accent. 251 00:14:32,560 --> 00:14:38,320 Speaker 1: So yeah, what is something you think is underrated? The 252 00:14:38,480 --> 00:14:42,800 Speaker 1: block button? Oh? I love blocking a bit. Let's do it. 253 00:14:43,440 --> 00:14:47,360 Speaker 1: I blocked people and then fully forgotten they existed, like 254 00:14:47,600 --> 00:14:49,520 Speaker 1: it was so mad, and then I was like block 255 00:14:49,600 --> 00:14:51,360 Speaker 1: and then like a year later, I'm like, oh, I 256 00:14:51,360 --> 00:14:53,680 Speaker 1: had used to have whole interactions with that person, and 257 00:14:53,680 --> 00:14:57,360 Speaker 1: now my life is better about them. You know that's great, man, 258 00:14:57,480 --> 00:15:01,280 Speaker 1: But what if they're talking about you and literally one 259 00:15:01,400 --> 00:15:07,000 Speaker 1: person is paying attention work? Yeah, that's always my fear, 260 00:15:07,040 --> 00:15:10,160 Speaker 1: and it's probably stupid. I find people who have me 261 00:15:10,240 --> 00:15:13,240 Speaker 1: blocked all the time on Twitter, and I'm like, oh, 262 00:15:13,280 --> 00:15:15,000 Speaker 1: I wonder why I have me blocked? And then I'm 263 00:15:15,040 --> 00:15:17,480 Speaker 1: like good for them for keeping boundaries, you know what 264 00:15:17,480 --> 00:15:20,080 Speaker 1: I mean. Like I'm kind of out of them, I'm like, 265 00:15:20,480 --> 00:15:23,480 Speaker 1: live your best life without me in it. You know, 266 00:15:24,280 --> 00:15:26,440 Speaker 1: when someone blocks you, the only thing they're missing is 267 00:15:26,480 --> 00:15:32,760 Speaker 1: you complimenting them on their boundaries and mental health practices. Yeah, yeah, 268 00:15:32,840 --> 00:15:35,680 Speaker 1: so you go block over mute. I'll do mute if 269 00:15:35,720 --> 00:15:38,920 Speaker 1: I feel like it will cause more drama to block, 270 00:15:39,400 --> 00:15:41,840 Speaker 1: you know what I mean, in like the friend group 271 00:15:41,960 --> 00:15:45,160 Speaker 1: or the industry or whatever. But if I can just 272 00:15:45,240 --> 00:15:48,760 Speaker 1: block if they're like a shitty dude, or if I 273 00:15:48,800 --> 00:15:52,360 Speaker 1: think they're racist, or I just like, sometimes I preemptively 274 00:15:52,400 --> 00:15:54,040 Speaker 1: blocked because I know that there are people who like 275 00:15:54,120 --> 00:15:56,640 Speaker 1: harass women online, and I'm like, I don't even want 276 00:15:57,080 --> 00:15:59,480 Speaker 1: my tweet to get in their sphere, you know what 277 00:15:59,560 --> 00:16:02,320 Speaker 1: I mean? Right right, I'll be like premptive block on 278 00:16:02,400 --> 00:16:04,520 Speaker 1: this bitch, and then I can just like live in peace. 279 00:16:04,800 --> 00:16:08,360 Speaker 1: You know, we weren't meant to interact with everyone. We 280 00:16:08,360 --> 00:16:11,760 Speaker 1: were meant to like you know, know, like the six 281 00:16:11,800 --> 00:16:15,240 Speaker 1: people in our office and then just say hello to 282 00:16:15,280 --> 00:16:18,160 Speaker 1: strangers on the street without knowing anything about their lives 283 00:16:18,280 --> 00:16:20,520 Speaker 1: or their porn likes, you know what I mean. Like, 284 00:16:20,560 --> 00:16:24,360 Speaker 1: we weren't. We weren't meant to know this much about people. 285 00:16:26,560 --> 00:16:28,520 Speaker 1: We're just getting back to the old days with a 286 00:16:28,560 --> 00:16:31,640 Speaker 1: good block Yeah, I just got it late. It's it's 287 00:16:31,720 --> 00:16:36,000 Speaker 1: it's it's a great, great way to keep yourself, you know, healthy. 288 00:16:37,040 --> 00:16:39,280 Speaker 1: You gotta block the dairy and block the people. That's 289 00:16:39,320 --> 00:16:44,000 Speaker 1: what you block, bad vibes, block glactose. Yah, the mute 290 00:16:44,000 --> 00:16:48,160 Speaker 1: button hasn't failed me yet. I guess. Like the down 291 00:16:48,240 --> 00:16:51,560 Speaker 1: the downside with the mute button is lack of satisfaction, 292 00:16:51,680 --> 00:16:54,720 Speaker 1: Like it doesn't feel satisfying. You're not being like blocked, 293 00:16:55,400 --> 00:16:59,640 Speaker 1: like yeah, but also they might still think you're hearing 294 00:16:59,640 --> 00:17:02,880 Speaker 1: what they're saying, like so it's just it's more of 295 00:17:02,920 --> 00:17:05,600 Speaker 1: a dishonest way to block someone, I guess. But they 296 00:17:05,960 --> 00:17:08,800 Speaker 1: and they can also like see your stuff if I 297 00:17:08,800 --> 00:17:12,040 Speaker 1: don't want them saying any of my ship. Got it. 298 00:17:12,040 --> 00:17:18,399 Speaker 1: It's just a complete separance any either direction of communication. Yeah, 299 00:17:18,760 --> 00:17:21,800 Speaker 1: got it. How is TikTok with all the with all 300 00:17:21,840 --> 00:17:25,760 Speaker 1: the blockage? And I don't know anything about TikTok? I 301 00:17:25,840 --> 00:17:28,480 Speaker 1: just learned. Yeah, that's the thing. It's like I use 302 00:17:28,560 --> 00:17:30,920 Speaker 1: it in a way. It's like nobody even knows I'm here. 303 00:17:31,880 --> 00:17:34,400 Speaker 1: It's like it's like YouTube for me, just going there, 304 00:17:34,520 --> 00:17:37,760 Speaker 1: leave no trace, like a real clip, go in there 305 00:17:37,920 --> 00:17:41,119 Speaker 1: leave my mouth just a gape for about forty five 306 00:17:41,119 --> 00:17:44,480 Speaker 1: minutes straight or until they're friendly person like hey, hey, hey, 307 00:17:44,640 --> 00:17:48,000 Speaker 1: it's scrolling for a while. Maybe stop And I'm like, 308 00:17:48,320 --> 00:17:50,639 Speaker 1: shut the funk up and keep giving me my dance 309 00:17:50,640 --> 00:17:55,200 Speaker 1: instruction videos. That's why they like instituted that. Hey, man, 310 00:17:55,680 --> 00:17:59,200 Speaker 1: like this isn't good. Yeah, they're like, even we know 311 00:17:59,400 --> 00:18:03,320 Speaker 1: this is because it usually like Facebook, you need to like, 312 00:18:03,840 --> 00:18:08,120 Speaker 1: you know, threatened to just take them off the fucking 313 00:18:08,160 --> 00:18:11,399 Speaker 1: stock market to get them to do anything that will 314 00:18:11,400 --> 00:18:16,720 Speaker 1: like slightly diminish their user engagement. So that's it's interesting. 315 00:18:16,760 --> 00:18:19,080 Speaker 1: I guess maybe it's just like TikTok came of age 316 00:18:19,320 --> 00:18:22,159 Speaker 1: when Facebook was being such an asshole. I wonder if 317 00:18:22,160 --> 00:18:25,200 Speaker 1: it's like reverse psychology and they're actually getting longer reviews 318 00:18:25,320 --> 00:18:27,680 Speaker 1: because of it, you know what I mean. I wonder 319 00:18:27,680 --> 00:18:31,679 Speaker 1: if people are like fuck you, I know, right, or 320 00:18:31,720 --> 00:18:33,439 Speaker 1: like the person who's just like, hey, you've been scrolling 321 00:18:33,440 --> 00:18:35,240 Speaker 1: for a while. They make it look like someone that 322 00:18:35,240 --> 00:18:38,399 Speaker 1: could potentially be your parent, so like this to be 323 00:18:38,440 --> 00:18:43,119 Speaker 1: like you actually like get our actual parents, and we're like, 324 00:18:43,119 --> 00:18:46,120 Speaker 1: how do they do that? They're begging us to like, no, please, son, 325 00:18:46,160 --> 00:18:48,520 Speaker 1: I've been calling you for three weeks. You haven't answered. 326 00:18:48,520 --> 00:18:52,080 Speaker 1: You're just scrolling, man, the only way to connect. But 327 00:18:52,200 --> 00:18:54,840 Speaker 1: I know, like recently they're announced like that, like on 328 00:18:54,920 --> 00:18:57,280 Speaker 1: Instagram and stuff. They've really talked about how much like 329 00:18:57,320 --> 00:19:00,120 Speaker 1: the nudging they or they say that they've been nudging 330 00:19:00,240 --> 00:19:03,040 Speaker 1: users before they like comment or d M somebody like 331 00:19:03,040 --> 00:19:05,280 Speaker 1: a creator account for the first times, like yeah, so 332 00:19:05,480 --> 00:19:08,240 Speaker 1: just so you know it's people that you're talking to. Yeah, 333 00:19:08,280 --> 00:19:10,639 Speaker 1: And they say that they found like somewhat of a 334 00:19:10,680 --> 00:19:14,720 Speaker 1: success rate with people like being like, oh right, that's good. 335 00:19:14,920 --> 00:19:20,200 Speaker 1: That's good. That is good that it feels like they 336 00:19:21,280 --> 00:19:23,480 Speaker 1: just so this this came up, they came up with 337 00:19:23,480 --> 00:19:29,720 Speaker 1: this in the Facebook something good, huh so, And I 338 00:19:29,760 --> 00:19:32,680 Speaker 1: feel like it's they're doing that at the moment where 339 00:19:32,720 --> 00:19:36,520 Speaker 1: somebody's about to post something just horrified. So they're letting 340 00:19:36,560 --> 00:19:40,639 Speaker 1: the person be more and more radicalized, and like watch 341 00:19:41,119 --> 00:19:45,880 Speaker 1: Long Jordan's Peterson, Joe Rogan, Yeah, just don't comment comedy jams. 342 00:19:46,040 --> 00:19:48,840 Speaker 1: And then like once the person is ready to, you know, 343 00:19:48,920 --> 00:19:52,760 Speaker 1: show how just how poisoned their their brain has become, 344 00:19:52,800 --> 00:19:54,679 Speaker 1: they're like, hey, here, I think the world's ready for 345 00:19:54,720 --> 00:19:57,720 Speaker 1: a status report on what I got kicking around up here, 346 00:19:58,160 --> 00:20:00,240 Speaker 1: and then they go to post on Facebook like hey, 347 00:20:00,440 --> 00:20:03,280 Speaker 1: just so you know, be cool to be cool to 348 00:20:03,560 --> 00:20:06,160 Speaker 1: people who are part of the Joe Rogan Jordan Peterson 349 00:20:06,280 --> 00:20:11,680 Speaker 1: comedy Jam. I want them to bring back def Jam. 350 00:20:11,800 --> 00:20:16,560 Speaker 1: But just with those you get to watch Jordan Peterson 351 00:20:16,680 --> 00:20:21,600 Speaker 1: cry non specific things. He's the closer to Yeah, you 352 00:20:21,680 --> 00:20:23,920 Speaker 1: know the clothes I've got. Jordan Peterson coming out was 353 00:20:24,040 --> 00:20:27,040 Speaker 1: sob openly for forty five minutes. Why is he so 354 00:20:27,080 --> 00:20:29,520 Speaker 1: sad if he's living his best life according to him, 355 00:20:29,600 --> 00:20:33,080 Speaker 1: I don't know a great question. Yes, it's just it's 356 00:20:33,119 --> 00:20:36,920 Speaker 1: all too much. Seems to be the general classic, Yeah, 357 00:20:36,960 --> 00:20:40,600 Speaker 1: just the classic. I'm actually everything I'm living the antithesis 358 00:20:40,640 --> 00:20:43,680 Speaker 1: of what I'm saying out loud. Everything is so great. 359 00:20:43,720 --> 00:20:47,480 Speaker 1: It's like, why do the women look sexy to me? 360 00:20:48,000 --> 00:20:50,719 Speaker 1: And like whatever? The fund was like daily rant is 361 00:20:51,840 --> 00:20:54,520 Speaker 1: and his didn't his daughter try and kill him? Oh 362 00:20:54,520 --> 00:20:56,960 Speaker 1: my god, there was like a whole bunch of things. 363 00:20:57,200 --> 00:20:59,520 Speaker 1: But you know what she was like dating Andrew Tater 364 00:20:59,640 --> 00:21:01,520 Speaker 1: or whatever. So very alpha of her to try to 365 00:21:01,640 --> 00:21:06,119 Speaker 1: kill her father was she didn't she have an affair 366 00:21:06,160 --> 00:21:09,040 Speaker 1: with Andrew Tate? That's really I have no idea, just 367 00:21:10,280 --> 00:21:12,920 Speaker 1: I don't know if it's real, but I know that book, 368 00:21:12,960 --> 00:21:15,840 Speaker 1: they're pictures of them together. There's a that they had 369 00:21:15,880 --> 00:21:18,160 Speaker 1: an affair, but I don't know. I don't think there 370 00:21:18,240 --> 00:21:20,919 Speaker 1: was like attempted first degree homicide. I think that she 371 00:21:21,119 --> 00:21:24,280 Speaker 1: was like doing something weird with like giving him like 372 00:21:24,400 --> 00:21:30,879 Speaker 1: strange medical treatments that were not anyways. He yeah, he 373 00:21:30,960 --> 00:21:32,800 Speaker 1: was dating her. I don't know if they're still but yeah, 374 00:21:32,800 --> 00:21:35,800 Speaker 1: he was dating my Caleb Peters. Well she was married, 375 00:21:35,920 --> 00:21:41,600 Speaker 1: right or something like power. All right, let's take a 376 00:21:41,640 --> 00:21:56,320 Speaker 1: quick break and we'll be right back. And we're back, 377 00:21:56,760 --> 00:22:01,359 Speaker 1: and the midterms are happening, they're coming off. I do 378 00:22:01,440 --> 00:22:03,840 Speaker 1: not feel good. I do not feel good about this. Yeah, 379 00:22:03,880 --> 00:22:08,480 Speaker 1: it's freaky, freaky times ahead. Yeah, bad, bad country we 380 00:22:08,600 --> 00:22:13,240 Speaker 1: live in. But yeah, they're gonna be very consequential this year, 381 00:22:13,359 --> 00:22:16,320 Speaker 1: as they will be probably for the next hundred years 382 00:22:16,400 --> 00:22:23,360 Speaker 1: until something unfoxed all the white supremacy, christo fascist, homophobic 383 00:22:23,760 --> 00:22:27,600 Speaker 1: election denier damage that has been done over the past 384 00:22:28,240 --> 00:22:32,040 Speaker 1: eight years. Basically, I'm sorry, but I just sat him 385 00:22:32,040 --> 00:22:35,000 Speaker 1: a horror movie of like all these people running for Congress. 386 00:22:35,040 --> 00:22:37,719 Speaker 1: But it's like something follows but it's like something unfoxed 387 00:22:40,960 --> 00:22:47,200 Speaker 1: something something yeah Fox but yeah, I mean there again, 388 00:22:47,320 --> 00:22:49,879 Speaker 1: like you're saying it's from the right. You've got you 389 00:22:50,000 --> 00:22:54,119 Speaker 1: got all these real wacky characters running for office, to 390 00:22:54,160 --> 00:22:56,640 Speaker 1: put it very lightly, and the Republicans are going all 391 00:22:56,760 --> 00:23:00,720 Speaker 1: in on all their manufactured freakouts. You got the fentanyl 392 00:23:00,960 --> 00:23:05,840 Speaker 1: killing your kids with their candy boxes on that I 393 00:23:05,920 --> 00:23:07,760 Speaker 1: turned on. I tried to turn on the six fer 394 00:23:07,880 --> 00:23:11,320 Speaker 1: game for like five minutes yesterday, and the local news 395 00:23:11,880 --> 00:23:15,199 Speaker 1: was on every channel and they had the fentanyl like 396 00:23:15,280 --> 00:23:17,639 Speaker 1: that popped up like turned on the TV and they 397 00:23:17,640 --> 00:23:19,960 Speaker 1: would give it. They were warning me about fentyl coming 398 00:23:20,000 --> 00:23:23,080 Speaker 1: in and candy boxes, and they did the thing where 399 00:23:23,080 --> 00:23:26,600 Speaker 1: they're like, it's not they're not giving out the fentanel 400 00:23:26,640 --> 00:23:30,800 Speaker 1: in candy boxes. And then so and the interview subject 401 00:23:30,880 --> 00:23:35,200 Speaker 1: one out to be in Aueva l A Sheriff nightmare. 402 00:23:35,400 --> 00:23:38,639 Speaker 1: Go listen to a traditional violence Yeah, Google l A 403 00:23:38,760 --> 00:23:42,359 Speaker 1: s D Gangs, Yes, and uh but he so he 404 00:23:42,480 --> 00:23:45,160 Speaker 1: was like, yeah, they're probably not like giving out skittles 405 00:23:45,160 --> 00:23:49,320 Speaker 1: packages full of fentanyl. But then they quickly turned in 406 00:23:49,359 --> 00:23:51,359 Speaker 1: there like what about parents who were worried about this? 407 00:23:51,400 --> 00:23:54,200 Speaker 1: He's like, bring your candy to the Sheriff's department will 408 00:23:54,280 --> 00:23:57,680 Speaker 1: check it. And it's like, so okay, So you're telling 409 00:23:57,680 --> 00:24:00,080 Speaker 1: people that they need to bring their trigger treating and 410 00:24:00,240 --> 00:24:02,680 Speaker 1: Y two. And then they also told a story about 411 00:24:02,880 --> 00:24:07,040 Speaker 1: they bring the candy and he just shoots it or 412 00:24:07,080 --> 00:24:10,960 Speaker 1: they pass out. They're like, yeah, just all over it, right, right, 413 00:24:11,720 --> 00:24:14,480 Speaker 1: And then they also talked about, like, so something that 414 00:24:14,680 --> 00:24:17,120 Speaker 1: is horrifying that happens all the time is like drug 415 00:24:17,160 --> 00:24:20,639 Speaker 1: addicted parents leave drugs around and their kids get into it, 416 00:24:21,280 --> 00:24:24,120 Speaker 1: get into the drugs and like have to be saved 417 00:24:24,200 --> 00:24:28,120 Speaker 1: by Narcan and taking the jack. They were smuggling fentanyl 418 00:24:28,200 --> 00:24:31,600 Speaker 1: in a box of whoppers, which by that logic means 419 00:24:31,800 --> 00:24:34,639 Speaker 1: they are trying to sell that as candy to a 420 00:24:34,840 --> 00:24:37,960 Speaker 1: child to get them hooked off seven thousand fentinyl pill. 421 00:24:38,040 --> 00:24:41,320 Speaker 1: If there's one thing children know, it's what candy looks like, 422 00:24:41,560 --> 00:24:45,680 Speaker 1: and to like the fact that it was in a whoppers, 423 00:24:45,680 --> 00:24:48,480 Speaker 1: like the kids ain't sucking with whoppers. Yeah, kids aren't 424 00:24:48,480 --> 00:24:50,600 Speaker 1: wucking with whoppers. And they also know that it's not 425 00:24:50,720 --> 00:24:56,119 Speaker 1: little pete little rainbow colored pills, but right, whoppers, not vegan. 426 00:24:56,320 --> 00:25:00,600 Speaker 1: That's the most dangerous part of it. Okay, our stars, 427 00:25:00,640 --> 00:25:03,719 Speaker 1: our starbursts Vegan. I don't know, but I know like 428 00:25:03,760 --> 00:25:05,800 Speaker 1: sour patch kids are because they get you need that 429 00:25:05,840 --> 00:25:07,920 Speaker 1: little bit of gelatine or whatever in it. They don't 430 00:25:07,960 --> 00:25:11,960 Speaker 1: have that got you, got you good to know. See, 431 00:25:12,040 --> 00:25:16,160 Speaker 1: Look we're learning every day in orioles Vegan. Yeah, hears 432 00:25:16,200 --> 00:25:18,840 Speaker 1: me a little bit. Hey, come on now, let's look, 433 00:25:18,960 --> 00:25:22,760 Speaker 1: we have to embrace our gay Yeah, exactly wherever we 434 00:25:22,760 --> 00:25:25,199 Speaker 1: can get them. But yeah, the fentanyl thing, there's no 435 00:25:25,320 --> 00:25:28,600 Speaker 1: fucking like that was a d e A agent quote 436 00:25:28,640 --> 00:25:31,840 Speaker 1: that just went to the stratospheres of like panic media. 437 00:25:31,920 --> 00:25:34,360 Speaker 1: Then you then or else Republicans saying there's a massive 438 00:25:34,440 --> 00:25:37,480 Speaker 1: crime wave, we need law and order despite a total 439 00:25:37,640 --> 00:25:40,520 Speaker 1: lack of evidence there. We've talked about how the gaps 440 00:25:40,520 --> 00:25:44,119 Speaker 1: in crime reporting data aren't indicating anything like that. And 441 00:25:44,119 --> 00:25:46,080 Speaker 1: then you also have the fear of like, well they're 442 00:25:46,119 --> 00:25:50,480 Speaker 1: they're drag queen groomers, despite having candidates themselves that are 443 00:25:50,520 --> 00:25:54,399 Speaker 1: masturbating two hundred two feet from a preschool. So again, 444 00:25:54,840 --> 00:25:58,120 Speaker 1: they're doing a lot to really make things seem very 445 00:25:58,280 --> 00:26:01,119 Speaker 1: very freaky. That's their platform. Mean, while the Democrats have 446 00:26:01,280 --> 00:26:04,720 Speaker 1: the eight D eight D chess brain strategy of again 447 00:26:04,800 --> 00:26:08,200 Speaker 1: just describing the Republicans and hoping that works. I think 448 00:26:08,240 --> 00:26:12,560 Speaker 1: the like the whole the nationwide feed into like that 449 00:26:12,720 --> 00:26:19,560 Speaker 1: crime crime narrative is really like advantageous locally in specific races, right, 450 00:26:19,880 --> 00:26:22,560 Speaker 1: Like for example, like Mandela Barnes was doing like pretty 451 00:26:22,600 --> 00:26:25,159 Speaker 1: well against Ron Johnson and Wisconsin, and then they like 452 00:26:25,320 --> 00:26:28,560 Speaker 1: just hit him over and over again with ads about 453 00:26:28,680 --> 00:26:31,159 Speaker 1: how he's like soft on crime and like these criminals 454 00:26:31,200 --> 00:26:32,520 Speaker 1: are gonna be out in the streets because of like 455 00:26:32,720 --> 00:26:35,320 Speaker 1: the work he did as as a lieutenant governor to 456 00:26:35,400 --> 00:26:38,440 Speaker 1: like make sure the parole board met even you know 457 00:26:38,440 --> 00:26:42,600 Speaker 1: what I mean, like basic human rights were met. So 458 00:26:42,680 --> 00:26:45,760 Speaker 1: I think, like it all, they're like they know exactly 459 00:26:45,800 --> 00:26:48,720 Speaker 1: what they're churning out and it feeds into their narrative 460 00:26:48,760 --> 00:26:51,840 Speaker 1: at every single level with like actual Like I was 461 00:26:51,880 --> 00:26:53,840 Speaker 1: thinking about it, and I was like I wouldn't fall 462 00:26:53,960 --> 00:26:58,320 Speaker 1: for this crime ad against Mandela Barnes or whatever, but 463 00:26:58,440 --> 00:27:02,000 Speaker 1: the average person, like if you see I mean, advertising works, 464 00:27:02,000 --> 00:27:04,239 Speaker 1: It's what our world is run on, right, So if 465 00:27:04,240 --> 00:27:06,480 Speaker 1: you see it enough times, it's of course gonna like 466 00:27:06,560 --> 00:27:11,040 Speaker 1: imprint on you. It's very dangerous, a very dangerous narrative. Well, 467 00:27:11,160 --> 00:27:14,119 Speaker 1: I mean it plays right into you know, most like 468 00:27:14,760 --> 00:27:18,520 Speaker 1: ingratiated white supremacists, thinking that most people have just passively 469 00:27:18,600 --> 00:27:21,840 Speaker 1: from existing in American culture. You could just raise the 470 00:27:21,840 --> 00:27:26,719 Speaker 1: specter of like, you know, creepy criminals and man Della Barnes, 471 00:27:26,760 --> 00:27:29,640 Speaker 1: a black man, he sides with them, and that's enough. 472 00:27:29,680 --> 00:27:34,040 Speaker 1: You're like, oh god, all my like my real ability 473 00:27:34,080 --> 00:27:36,639 Speaker 1: to think and critical thinking skills have gone out the window. 474 00:27:36,920 --> 00:27:39,560 Speaker 1: But you know, like in the patterns of midterms, history 475 00:27:39,600 --> 00:27:42,840 Speaker 1: indicates that the president's party is usually one taking the els. 476 00:27:42,880 --> 00:27:45,760 Speaker 1: But for just due to the utter depravity of the 477 00:27:45,840 --> 00:27:49,240 Speaker 1: dab's decision, it's made a lot of these races competitive. 478 00:27:49,400 --> 00:27:52,520 Speaker 1: And right now, all of like the polling and analysis 479 00:27:52,560 --> 00:27:55,040 Speaker 1: you know, around voter enthusiasm is at a level that's 480 00:27:55,040 --> 00:27:58,800 Speaker 1: comparable to when having Trump in office meant a lot 481 00:27:58,840 --> 00:28:00,919 Speaker 1: of people were coming out. I don't think there's no 482 00:28:00,960 --> 00:28:02,200 Speaker 1: need to, like, I don't think we should need to 483 00:28:02,200 --> 00:28:06,240 Speaker 1: talk like the actual percentages, because you know, we've who 484 00:28:06,240 --> 00:28:09,240 Speaker 1: the funk knows with polling. But when it comes to 485 00:28:09,280 --> 00:28:12,040 Speaker 1: like actual real life outcomes, the one thing you can 486 00:28:12,040 --> 00:28:14,440 Speaker 1: say fairly confident is that when people are enthusiastic and 487 00:28:14,440 --> 00:28:17,280 Speaker 1: are telling people like I'm going to vote. There's typically 488 00:28:17,359 --> 00:28:20,960 Speaker 1: some uptick in the voting. Now who's voting, who's more 489 00:28:21,040 --> 00:28:25,240 Speaker 1: motivated tb D. But for example, in Georgia, they're early 490 00:28:25,320 --> 00:28:29,239 Speaker 1: voted starting last week and the turnout is twice of 491 00:28:29,280 --> 00:28:34,439 Speaker 1: what it was mid terms. They have seventy thousand ballots 492 00:28:35,480 --> 00:28:38,719 Speaker 1: over a hundred forty three thousand and two. It actually 493 00:28:38,760 --> 00:28:46,240 Speaker 1: is even outpacing the presidential election by now, who knows, 494 00:28:46,360 --> 00:28:48,880 Speaker 1: you know, you never know, you never know where which 495 00:28:48,920 --> 00:28:52,200 Speaker 1: way it can go. But again it's I think Republicans 496 00:28:52,320 --> 00:28:55,440 Speaker 1: clearly know that they have to do everything in their 497 00:28:55,480 --> 00:28:58,600 Speaker 1: power to fund people over to try and prevent them 498 00:28:58,600 --> 00:29:01,680 Speaker 1: from voting, because motor suppression bullshit is like at an 499 00:29:01,680 --> 00:29:04,520 Speaker 1: all time high. We've there's like a report in Arizona 500 00:29:04,520 --> 00:29:06,920 Speaker 1: of someone saying like they were being filmed when they 501 00:29:07,000 --> 00:29:09,880 Speaker 1: dropped their ballot off at like a dropbox in Maricopa 502 00:29:09,920 --> 00:29:11,960 Speaker 1: County and someone was taping them being like what are 503 00:29:12,000 --> 00:29:14,040 Speaker 1: you a mule, like accusing them of being like a 504 00:29:14,080 --> 00:29:16,840 Speaker 1: ballot mule and saying like you're stealing the election, and 505 00:29:16,880 --> 00:29:21,120 Speaker 1: then like following them around. Christ yeah, you know the 506 00:29:21,120 --> 00:29:23,440 Speaker 1: stuff they see on TV. This is like I'm sorry. 507 00:29:23,480 --> 00:29:25,360 Speaker 1: I was just at the airport yesterday and I saw 508 00:29:25,440 --> 00:29:27,120 Speaker 1: through T s A. It was like they were all 509 00:29:27,120 --> 00:29:30,760 Speaker 1: these signs that were like verbal abuse will not stand 510 00:29:32,000 --> 00:29:35,320 Speaker 1: like verbal and they have to put that everywhere they 511 00:29:35,320 --> 00:29:38,480 Speaker 1: have to because like right now, everybody's just like popping off, 512 00:29:38,640 --> 00:29:42,719 Speaker 1: you know, in public places we're in as a country 513 00:29:42,880 --> 00:29:47,640 Speaker 1: just mentally that bad place, right Yeah, So yeah, I 514 00:29:48,080 --> 00:29:50,600 Speaker 1: do feel for anybody on the front lines of like, 515 00:29:51,120 --> 00:29:54,600 Speaker 1: you know, customer service that's kind of sucking brutal, and 516 00:29:54,720 --> 00:29:57,120 Speaker 1: air travel to or like people travel for like a 517 00:29:57,120 --> 00:30:00,000 Speaker 1: myriad of reasons. It's not like you're the like you're 518 00:29:59,840 --> 00:30:02,959 Speaker 1: the greeter on like the Disney cruise or something. You know, 519 00:30:02,960 --> 00:30:05,360 Speaker 1: it's like some people like, yeah, my fucking I'm dealing 520 00:30:05,400 --> 00:30:08,960 Speaker 1: with this dark ship. I gotta go here or whatever. Anyway, 521 00:30:09,040 --> 00:30:11,360 Speaker 1: I do want to point out that, you know, while 522 00:30:11,760 --> 00:30:13,680 Speaker 1: there's all this talk of like making sure people get 523 00:30:13,680 --> 00:30:15,440 Speaker 1: out the vote and stuff like that, there's a lot 524 00:30:15,480 --> 00:30:18,959 Speaker 1: of energy going into the pole watcher fucking business right 525 00:30:19,000 --> 00:30:22,200 Speaker 1: now on the right. Right now, General Mike qan On 526 00:30:22,360 --> 00:30:26,200 Speaker 1: Flynn has a group that is actively recruiting military, vets, 527 00:30:26,200 --> 00:30:29,800 Speaker 1: police and other emergency workers to be fucking pole watchers, 528 00:30:30,160 --> 00:30:33,960 Speaker 1: and it's funded by him, his brother and Mr Swedish 529 00:30:34,280 --> 00:30:38,640 Speaker 1: meat Balls himself, Patrick Byrne, the former CEO of overstock 530 00:30:38,760 --> 00:30:42,560 Speaker 1: dot Com. If you remember or don't, there is some 531 00:30:42,640 --> 00:30:45,320 Speaker 1: testimony from the January six Commission where we found out 532 00:30:45,360 --> 00:30:47,320 Speaker 1: that there was like this meeting at the White House 533 00:30:47,360 --> 00:30:50,120 Speaker 1: where this guy Patrick Burne somehow got into the White 534 00:30:50,120 --> 00:30:53,160 Speaker 1: House and as he was just housing housing as it 535 00:30:53,240 --> 00:31:00,239 Speaker 1: was described, housing Swedish meatballs. Stop making these dudes, Okay, right, 536 00:31:00,280 --> 00:31:02,720 Speaker 1: I know, I'm like funk man where they told me 537 00:31:02,760 --> 00:31:06,560 Speaker 1: they were from IKEA. Let him go, let him go, 538 00:31:06,960 --> 00:31:10,600 Speaker 1: you know, I'm sorry. He's with definition of like acting 539 00:31:10,680 --> 00:31:13,040 Speaker 1: like you've not been there before. You just like get 540 00:31:13,080 --> 00:31:15,280 Speaker 1: around the food that they have in the White House. 541 00:31:15,360 --> 00:31:22,040 Speaker 1: He's just like you can't know. That feels like he's 542 00:31:22,080 --> 00:31:24,360 Speaker 1: definitely been there before. And do you ever go to 543 00:31:24,520 --> 00:31:27,600 Speaker 1: like a really like like incredible place like that and 544 00:31:27,600 --> 00:31:32,840 Speaker 1: you're just like, I only care about the buffet, Yeah, yeah, total, yeah, 545 00:31:33,840 --> 00:31:37,400 Speaker 1: but he probably never was there. Yeah, just shows you 546 00:31:37,440 --> 00:31:39,840 Speaker 1: a quick hack. He's like, go straight for the meat balls, man, 547 00:31:39,880 --> 00:31:43,080 Speaker 1: when you hear the best for the meat balls. But 548 00:31:43,640 --> 00:31:46,920 Speaker 1: this group again, they're going like they're they're trying to 549 00:31:46,960 --> 00:31:49,480 Speaker 1: recruit people who they say, We're not there to intimidate. 550 00:31:49,520 --> 00:31:52,080 Speaker 1: We just want to help people who feel uneasy about 551 00:31:52,160 --> 00:31:55,440 Speaker 1: voter fraud and other malarkey that they can feel safe 552 00:31:55,480 --> 00:31:59,719 Speaker 1: that these fucking intimidating dudes are standing around at the 553 00:31:59,720 --> 00:32:03,120 Speaker 1: fun in polling places. This former green just read a 554 00:32:03,200 --> 00:32:07,680 Speaker 1: quote from Travis Wilson, former Greenberg, former Green Beret turned 555 00:32:07,760 --> 00:32:12,120 Speaker 1: supplement company owner said quote, this is just an opportunity 556 00:32:12,120 --> 00:32:14,360 Speaker 1: for those guys to continue the mission and protecting the 557 00:32:14,360 --> 00:32:18,239 Speaker 1: integrity of our constitution. One thing I want to bring up. 558 00:32:18,400 --> 00:32:21,520 Speaker 1: You know what this fucking group calls themselves. They're called 559 00:32:22,080 --> 00:32:28,200 Speaker 1: One More Mission. Wow. Okay, like the fucking cliche action 560 00:32:28,240 --> 00:32:31,200 Speaker 1: movie apply about dudes that have nothing to fucking live 561 00:32:31,280 --> 00:32:33,800 Speaker 1: for and are going to bet their lives for some 562 00:32:33,920 --> 00:32:38,840 Speaker 1: uncertain outcome. You know, like that ends when you're like 563 00:32:38,880 --> 00:32:41,800 Speaker 1: when you're the main character. Okay, that works out, okay, 564 00:32:41,800 --> 00:32:43,440 Speaker 1: And I guess they're all the main character and their 565 00:32:43,480 --> 00:32:46,560 Speaker 1: own narratives. What they don't realize is they're actually the henchman, 566 00:32:46,840 --> 00:32:49,840 Speaker 1: and in those one More missions, the henchman never do 567 00:32:50,000 --> 00:32:53,960 Speaker 1: so well, so or like a gang of them die. 568 00:32:54,160 --> 00:32:56,200 Speaker 1: You know what I mean, or sometimes they all die 569 00:32:56,240 --> 00:32:58,920 Speaker 1: in the One More Mission one anyway, you know, check 570 00:32:58,960 --> 00:33:02,800 Speaker 1: out space cowboys who don't like POC. They really interact 571 00:33:02,840 --> 00:33:06,560 Speaker 1: with us a lot. You don't have to do this. 572 00:33:06,720 --> 00:33:08,560 Speaker 1: You don't have to be there. You could be at 573 00:33:08,800 --> 00:33:12,280 Speaker 1: you could learn knitting, you can you can do anything 574 00:33:12,320 --> 00:33:15,800 Speaker 1: else with your time that would be less harmful to society, 575 00:33:16,000 --> 00:33:17,960 Speaker 1: you know what I mean. Yeah, I want to show 576 00:33:18,160 --> 00:33:20,040 Speaker 1: I want to show you guys, like one of the 577 00:33:20,080 --> 00:33:26,440 Speaker 1: fucking recruiting videos for this group, because it I'm just 578 00:33:26,440 --> 00:33:28,680 Speaker 1: gonna play for you. It's fucking why. It's out of 579 00:33:28,720 --> 00:33:31,560 Speaker 1: fucking control that this is. Again. They're like, we're not 580 00:33:31,560 --> 00:33:34,200 Speaker 1: looking for people that are like aggressive or like militant 581 00:33:34,280 --> 00:33:35,960 Speaker 1: or anything. We just want to help people feel safe. 582 00:33:36,000 --> 00:33:38,560 Speaker 1: This is one of the recruiting videos for One More Mission. 583 00:33:39,840 --> 00:33:43,400 Speaker 1: Cases of dead people casting a ballot in news clips 584 00:33:43,480 --> 00:33:49,719 Speaker 1: right now, part of those were people who voted absentee. 585 00:33:50,880 --> 00:33:54,080 Speaker 1: It says beat the cheat, and it's all this like 586 00:33:54,160 --> 00:33:57,320 Speaker 1: news clips before. Now we have war time footage says 587 00:33:57,440 --> 00:34:02,360 Speaker 1: America called to arms. America is called arms Ewajima flag raising. 588 00:34:02,440 --> 00:34:07,000 Speaker 1: It says your country needs you. Listen to this fucking music. Meanwhile, 589 00:34:07,480 --> 00:34:11,320 Speaker 1: party watchers are observing the I couldn't report any irregularities. 590 00:34:11,680 --> 00:34:17,040 Speaker 1: It goes on, what the fuck is this? What it's 591 00:34:18,640 --> 00:34:23,200 Speaker 1: it says, once again, your country needs this ship goes 592 00:34:23,600 --> 00:34:27,040 Speaker 1: It's it's like a do you know like when they 593 00:34:27,160 --> 00:34:31,799 Speaker 1: gave LSD to Housewives in the first felt like that? 594 00:34:32,360 --> 00:34:36,120 Speaker 1: Yeah exactly, Yeah, like bad trips music videos like that. 595 00:34:36,320 --> 00:34:41,160 Speaker 1: That that's that. Here's a jingoistic fever dream to feast 596 00:34:41,160 --> 00:34:43,480 Speaker 1: your eyes upon and then be like, hey, you want 597 00:34:43,480 --> 00:34:47,400 Speaker 1: to just protect voter integrity. So yeah, it's a you know, 598 00:34:47,640 --> 00:34:51,600 Speaker 1: more enthusiasm. I can only imagine there be equal amounts 599 00:34:51,600 --> 00:34:54,880 Speaker 1: of attempts at They literally are just like their message 600 00:34:54,880 --> 00:34:56,560 Speaker 1: for all these people is like no matter what the 601 00:34:56,600 --> 00:34:58,640 Speaker 1: task that they want them to complete, there like you're 602 00:34:58,680 --> 00:35:02,680 Speaker 1: going to war, You're like fighting for the country. And 603 00:35:02,719 --> 00:35:06,600 Speaker 1: it's like they're literally just like at a polling mice, right. Yeah, 604 00:35:07,239 --> 00:35:11,400 Speaker 1: they's not like a school or like a church, you 605 00:35:11,440 --> 00:35:14,640 Speaker 1: know what I mean. Like they're just a community center, 606 00:35:14,760 --> 00:35:18,600 Speaker 1: like geared up to fight. They so desperately want for 607 00:35:19,239 --> 00:35:21,920 Speaker 1: they're there, as they would say, for the situation to 608 00:35:21,960 --> 00:35:27,160 Speaker 1: become kinnetic. So like you're you're having armed people at 609 00:35:27,200 --> 00:35:31,400 Speaker 1: a like voting place, just looking for any excuse to 610 00:35:31,640 --> 00:35:35,280 Speaker 1: you could just people up. It's a tough mutter, dude, 611 00:35:35,320 --> 00:35:39,040 Speaker 1: like calm down, Yeah, that's right, Like this is what 612 00:35:39,040 --> 00:35:40,960 Speaker 1: what they have instead of like tough mutters, get that 613 00:35:41,080 --> 00:35:43,719 Speaker 1: energy out. Yeah, bro, you need like a good run. 614 00:35:44,520 --> 00:35:47,680 Speaker 1: But I mean, yeah, for all, there's so much. I mean, 615 00:35:47,880 --> 00:35:50,160 Speaker 1: at a minimum, if you're if you plan on voting, 616 00:35:50,560 --> 00:35:53,920 Speaker 1: make sure you're still on the roles because depending on 617 00:35:53,960 --> 00:35:55,880 Speaker 1: your state, there could be any number of ways that 618 00:35:55,920 --> 00:35:58,520 Speaker 1: they're trying to disqualify your vote or make sure you 619 00:35:58,520 --> 00:36:01,080 Speaker 1: know about early voting and how to do that. I'm 620 00:36:01,080 --> 00:36:03,680 Speaker 1: sure we will probably talk about that this next week 621 00:36:03,760 --> 00:36:06,799 Speaker 1: because it seems to be very useful information this time 622 00:36:06,800 --> 00:36:09,359 Speaker 1: of year. Yeah, they're also taking advantage of the fact 623 00:36:09,360 --> 00:36:12,919 Speaker 1: that they're allowed to, like they they all probably look 624 00:36:13,000 --> 00:36:16,720 Speaker 1: like those dudes who walked into uh State House building 625 00:36:17,040 --> 00:36:20,839 Speaker 1: with like a RS and you know, assault weapons and 626 00:36:20,880 --> 00:36:23,919 Speaker 1: we're just like kindly ushered out, you know, like that. 627 00:36:24,400 --> 00:36:29,439 Speaker 1: They're they're generally treated with much much more forgiveness when 628 00:36:29,480 --> 00:36:31,360 Speaker 1: they show up somewhere they're not supposed to be with 629 00:36:31,400 --> 00:36:34,440 Speaker 1: a gun than when a person of color shows up 630 00:36:34,800 --> 00:36:39,120 Speaker 1: anywhere without a gun. So yeah, yeah, or to even vote, 631 00:36:39,200 --> 00:36:42,720 Speaker 1: so yeah, check your eye out on one more mission. 632 00:36:43,000 --> 00:36:45,560 Speaker 1: That doesn't based on like what they're saying, it sounds 633 00:36:45,560 --> 00:36:49,120 Speaker 1: like they only started like a like a few weeks ago, 634 00:36:49,280 --> 00:36:51,239 Speaker 1: so it seems like a kind of last like it 635 00:36:51,280 --> 00:36:54,120 Speaker 1: doesn't seem like a very organized thing. But again, you 636 00:36:54,200 --> 00:36:57,760 Speaker 1: give a bunch of fucking weird people a terrible reason 637 00:36:57,840 --> 00:37:01,680 Speaker 1: to get together and fucking piles. It's like if you 638 00:37:01,719 --> 00:37:03,719 Speaker 1: give a mouse a cookie, but it's like if you 639 00:37:03,800 --> 00:37:07,279 Speaker 1: give a neck beard an a R fifteen Yeah, yeah, yeah, 640 00:37:07,400 --> 00:37:11,680 Speaker 1: then he'll probably ask to control democracy in the whole. Yeah, 641 00:37:11,320 --> 00:37:14,560 Speaker 1: but you know not, these things are never well organized though. 642 00:37:14,600 --> 00:37:18,279 Speaker 1: If you think about the robbery in the town that 643 00:37:18,360 --> 00:37:23,600 Speaker 1: was a one last job deal, what we're the town 644 00:37:23,640 --> 00:37:26,759 Speaker 1: the movie the town where they're like we're they're like, 645 00:37:26,800 --> 00:37:32,000 Speaker 1: we're robbing the cathedral Fenway Puck like nobody calls it 646 00:37:32,080 --> 00:37:35,520 Speaker 1: the cathedral in Boston but all right, or you know 647 00:37:35,680 --> 00:37:42,080 Speaker 1: Unforgiven or Space Cowboys or the Mule, he's always one, 648 00:37:42,160 --> 00:37:45,799 Speaker 1: he's Mr. One more job. Yeah. Also so Fast and 649 00:37:45,840 --> 00:37:48,719 Speaker 1: Furious films, as you pointed out, all one last job 650 00:37:48,760 --> 00:37:52,440 Speaker 1: pretty much all some version of like that's behind me man, Yeah, 651 00:37:52,560 --> 00:37:54,680 Speaker 1: but we need you this one last time, all right, 652 00:37:55,200 --> 00:37:57,239 Speaker 1: for the eighth time, and then you end up in 653 00:37:57,239 --> 00:38:01,600 Speaker 1: a Mazda driving up to a satellite in space. Exactly 654 00:38:02,600 --> 00:38:05,319 Speaker 1: all right, I'm that actually just got me excited for 655 00:38:05,320 --> 00:38:10,480 Speaker 1: the next fast and furious straight to space. All right, 656 00:38:10,960 --> 00:38:24,080 Speaker 1: let's take a quick break. We'll be right back. And 657 00:38:24,160 --> 00:38:27,960 Speaker 1: we're back. And we wanted to check in briefly with 658 00:38:28,239 --> 00:38:32,160 Speaker 1: delivery robots because, as we all know, they are the 659 00:38:32,200 --> 00:38:36,160 Speaker 1: future of Oh wait, they actually suck. It turns out 660 00:38:36,520 --> 00:38:40,319 Speaker 1: delivery robots not not very good at their job. So 661 00:38:40,360 --> 00:38:43,759 Speaker 1: in twenty nineteen, FedEx announced that they were testing a 662 00:38:43,840 --> 00:38:48,520 Speaker 1: fancy new delivery robot called rocks Oh, which is aggressive 663 00:38:48,880 --> 00:38:52,080 Speaker 1: that could traverse urban landscapes on the rotor, on sidewalks, 664 00:38:52,120 --> 00:38:54,520 Speaker 1: and even climb stairs right up to your front door. 665 00:38:54,800 --> 00:38:58,319 Speaker 1: They have like a neat little like five wheel apparatus 666 00:38:58,480 --> 00:39:01,719 Speaker 1: under it. It looks like a gas like one of 667 00:39:01,760 --> 00:39:07,920 Speaker 1: those like gasoline canisters. Yeah yeah, at which point it 668 00:39:07,920 --> 00:39:11,920 Speaker 1: would presumably just deliver your package and not become selfware 669 00:39:12,040 --> 00:39:17,440 Speaker 1: murder you. But they apparently we're we're designed to autonomously 670 00:39:17,600 --> 00:39:22,640 Speaker 1: navigate around cars and pedestrians using cameras and what they 671 00:39:22,800 --> 00:39:28,680 Speaker 1: call lidar sensors. Yeah, just like just action ranging, right, 672 00:39:29,560 --> 00:39:32,680 Speaker 1: Just an editorial note when naming a sensor that is 673 00:39:32,719 --> 00:39:36,239 Speaker 1: supposed to be able to prevent us from getting run 674 00:39:36,360 --> 00:39:39,960 Speaker 1: over by an autonomous robot or like you know, crashing 675 00:39:40,040 --> 00:39:43,440 Speaker 1: our car or you know, steering to avoid one of 676 00:39:43,480 --> 00:39:46,520 Speaker 1: these things and like crashing into a playground or whatever 677 00:39:46,600 --> 00:39:49,200 Speaker 1: the funk, Like, don't take the well known and trusted 678 00:39:49,280 --> 00:39:53,200 Speaker 1: sensory technology of radar and just replace the first syllable 679 00:39:53,280 --> 00:39:58,200 Speaker 1: with lie. I feel like that scientists not quite known 680 00:39:58,280 --> 00:40:02,920 Speaker 1: for their branding ability, Yeah, like quite literally describing what 681 00:40:03,120 --> 00:40:10,320 Speaker 1: it does about Yeah, we'll called a bullshit detector. I 682 00:40:10,400 --> 00:40:14,839 Speaker 1: don't know what's best, but so we just learned though. 683 00:40:14,920 --> 00:40:17,759 Speaker 1: So this was all back in when we just had 684 00:40:18,320 --> 00:40:24,160 Speaker 1: autonomous robotic delivery devices in our eyes and you know, 685 00:40:24,280 --> 00:40:27,920 Speaker 1: hope in our hearts. Recently, fed x Is reportedly announced 686 00:40:27,960 --> 00:40:32,280 Speaker 1: their stopping development on rocks so to focus on nearer 687 00:40:32,560 --> 00:40:37,960 Speaker 1: term opportunities, which so that that's a nice way being like, yo, 688 00:40:38,080 --> 00:40:41,239 Speaker 1: that ship is fuck it is trash man to make 689 00:40:41,280 --> 00:40:44,360 Speaker 1: figure this out for a while. Yeah. Let that that 690 00:40:44,520 --> 00:40:47,240 Speaker 1: came less than a month after Amazon announced that scalt 691 00:40:47,840 --> 00:40:51,320 Speaker 1: their delivery robot that could, judging from the promo photo, 692 00:40:51,400 --> 00:40:55,320 Speaker 1: deliver mysterious packages to toddlers in public parks. That appears 693 00:40:55,360 --> 00:40:57,759 Speaker 1: to be what's happening, like if you if you look 694 00:40:57,800 --> 00:41:00,440 Speaker 1: at it, this one looks more like a cooler that 695 00:41:00,600 --> 00:41:04,160 Speaker 1: you like, a a cooler you could wheel on the beach, 696 00:41:04,280 --> 00:41:07,600 Speaker 1: like it has like six wheels, but it would drive 697 00:41:07,719 --> 00:41:10,719 Speaker 1: right up to your kid and open its contents to him. 698 00:41:10,719 --> 00:41:13,560 Speaker 1: According to this picture, it sounds like a threat. I 699 00:41:13,680 --> 00:41:16,040 Speaker 1: know it's like that. Well, that's what happens if you 700 00:41:16,200 --> 00:41:20,800 Speaker 1: startle the Scout. It has to make itself big to 701 00:41:21,120 --> 00:41:24,239 Speaker 1: uh you know, let you know that it means business. Well, 702 00:41:24,440 --> 00:41:28,120 Speaker 1: so Amazon recently announced operation on Scout is not shutting 703 00:41:28,239 --> 00:41:32,440 Speaker 1: down exactly, but, as Amazon claimed, they are pivoting and reimagining, 704 00:41:32,960 --> 00:41:36,719 Speaker 1: which involves all of the team members disbanding and being 705 00:41:36,760 --> 00:41:40,839 Speaker 1: assigned new roles within the company. So I was trying 706 00:41:40,880 --> 00:41:43,279 Speaker 1: to find this video but I can't find it of 707 00:41:43,440 --> 00:41:47,239 Speaker 1: my dog like freaking out about one of those security 708 00:41:47,360 --> 00:41:50,719 Speaker 1: robots near Kaiser, you know what I mean, one I 709 00:41:50,840 --> 00:41:52,800 Speaker 1: was going to talk about, because that's the one that 710 00:41:53,000 --> 00:41:56,200 Speaker 1: is like they seem to really be pushing hard on 711 00:41:56,320 --> 00:41:59,840 Speaker 1: that on that. Yeah. My dog was like what the 712 00:42:00,200 --> 00:42:02,920 Speaker 1: fuck is this and was like trying to fight play 713 00:42:03,000 --> 00:42:06,040 Speaker 1: fight it, and it was just like the robot was 714 00:42:06,120 --> 00:42:08,400 Speaker 1: like like moving and then stopping, and I was like, 715 00:42:08,480 --> 00:42:11,640 Speaker 1: are you guys, like what is happening here? Wait? What 716 00:42:11,760 --> 00:42:14,279 Speaker 1: does those ones look like? The siren on top? I'd 717 00:42:14,280 --> 00:42:17,840 Speaker 1: say they're about five ft five ft two that that 718 00:42:17,960 --> 00:42:20,560 Speaker 1: sounds way more precise than they could be like four 719 00:42:20,640 --> 00:42:23,839 Speaker 1: ft tall, but they're they're they're kind of like are 720 00:42:23,920 --> 00:42:26,040 Speaker 1: two D two shaped like a little bit to be 721 00:42:26,239 --> 00:42:28,360 Speaker 1: at the top and then they go down like a 722 00:42:28,520 --> 00:42:32,360 Speaker 1: portable air conditioner, yeah, thing, and they have lights and 723 00:42:32,440 --> 00:42:35,759 Speaker 1: they beat a little bit and and how do they 724 00:42:35,840 --> 00:42:38,400 Speaker 1: provide security exactly? I have no idea. I feel like 725 00:42:38,440 --> 00:42:41,560 Speaker 1: they probably have like a camera or something. But there's 726 00:42:41,600 --> 00:42:44,560 Speaker 1: like I literally saw like one of them right next 727 00:42:44,600 --> 00:42:47,000 Speaker 1: to an actual security guard, and the security guard just 728 00:42:47,120 --> 00:42:49,600 Speaker 1: look pissed that this new kid was taken a job. 729 00:42:49,800 --> 00:42:52,320 Speaker 1: You know that means for I thought it was for 730 00:42:52,480 --> 00:42:57,120 Speaker 1: delivering things between the pharmacies. It says security on it, 731 00:42:57,560 --> 00:43:02,000 Speaker 1: like and I don't think any capability for delivery, Like, 732 00:43:02,080 --> 00:43:03,520 Speaker 1: I don't know. It just seemed like it was like 733 00:43:03,640 --> 00:43:06,640 Speaker 1: kind of patrolling when I saw it. Yeah, every every 734 00:43:06,680 --> 00:43:09,640 Speaker 1: time I've seen it, it does have a very like uncanny, 735 00:43:09,880 --> 00:43:14,880 Speaker 1: unsettling security like on patrol, and also unsettling because it 736 00:43:15,120 --> 00:43:17,600 Speaker 1: is the slowest thing I've ever seen moving. It is 737 00:43:17,760 --> 00:43:19,839 Speaker 1: so slow, but then it like the way it starts 738 00:43:19,880 --> 00:43:21,920 Speaker 1: and stuffs is really weird. Do you remember like in 739 00:43:22,560 --> 00:43:25,200 Speaker 1: black was it Black Mirror where they had the robot dogs? 740 00:43:26,200 --> 00:43:28,399 Speaker 1: Was that No, that was reality? I think I think 741 00:43:28,440 --> 00:43:31,560 Speaker 1: that was Boston Scientific. No, but there was one where 742 00:43:31,600 --> 00:43:34,120 Speaker 1: there were like robot dogs and they were like chasing 743 00:43:34,320 --> 00:43:40,000 Speaker 1: forever and like trying to kill somebody. Oh okay, okay, Yeah. 744 00:43:40,320 --> 00:43:42,719 Speaker 1: I was like I was like that, we're not there yet. 745 00:43:42,840 --> 00:43:45,359 Speaker 1: But I don't like how slow this one's moving because 746 00:43:45,400 --> 00:43:47,279 Speaker 1: like it makes me feel like it doesn't need to 747 00:43:47,320 --> 00:43:51,200 Speaker 1: move slow, which means that it has like more nefarious weapons. Right. 748 00:43:51,440 --> 00:43:54,480 Speaker 1: It reminds me of like Friday the thirteenth. Like the 749 00:43:54,600 --> 00:43:57,400 Speaker 1: scariest thing about Jason to me was always that he 750 00:43:58,200 --> 00:44:01,880 Speaker 1: always walked so slowly. Yeah, like you could run away 751 00:44:01,920 --> 00:44:03,920 Speaker 1: from him and he was just taking his time, and 752 00:44:03,960 --> 00:44:09,720 Speaker 1: it was like, well that's weird, Like, yeah, it's so confident, 753 00:44:10,000 --> 00:44:12,719 Speaker 1: just like I'm from Hell. Yeah, I'm from hell. Same 754 00:44:13,120 --> 00:44:16,840 Speaker 1: different Jason or Michael Myers becomes so much less scary 755 00:44:16,880 --> 00:44:22,000 Speaker 1: if you picture them like break into a job. Yeah, okay, 756 00:44:22,640 --> 00:44:27,359 Speaker 1: hey man, don't don't wear yourself out, just specially since 757 00:44:27,440 --> 00:44:30,399 Speaker 1: like Jason would be like eight years old now, yeah, 758 00:44:30,719 --> 00:44:35,040 Speaker 1: he would definitely pull a muscle. Yeah, but it's just 759 00:44:36,120 --> 00:44:40,759 Speaker 1: I don't know, it feels like we're not there yet, 760 00:44:40,960 --> 00:44:44,160 Speaker 1: and people they're not they're not paying off on the 761 00:44:44,280 --> 00:44:48,080 Speaker 1: promise of like these motherfucker's be zipping around town. You 762 00:44:48,120 --> 00:44:50,799 Speaker 1: don't They're like they don't need any supervision. I've seen 763 00:44:51,080 --> 00:44:53,920 Speaker 1: there's like on I feel like at like mel Rose 764 00:44:54,480 --> 00:44:58,040 Speaker 1: and fucking Highland, I regularly see one of these robots 765 00:44:58,200 --> 00:45:01,560 Speaker 1: taking so damn long to of the street, to the 766 00:45:01,640 --> 00:45:04,399 Speaker 1: point where like sometimes see people helping the ship. Yeah, 767 00:45:06,000 --> 00:45:10,000 Speaker 1: if you see a robot that needs help crossing the street, yeah, 768 00:45:10,120 --> 00:45:13,640 Speaker 1: find a police officer and start trying to find their father, 769 00:45:14,080 --> 00:45:17,480 Speaker 1: because findar officer and say that, yeah that robot is 770 00:45:17,600 --> 00:45:20,760 Speaker 1: talking about black lives matter, and then just see what happens. 771 00:45:21,400 --> 00:45:24,239 Speaker 1: Then it's like wild because it's I mean, you could 772 00:45:24,239 --> 00:45:26,319 Speaker 1: see people now it's like I raised you better than 773 00:45:26,400 --> 00:45:30,239 Speaker 1: to not help that robot cross the street respect so 774 00:45:30,440 --> 00:45:32,239 Speaker 1: much more out of you. But it's I don't know, 775 00:45:32,280 --> 00:45:35,560 Speaker 1: because the scent like like most things that are automated, right, 776 00:45:35,640 --> 00:45:41,480 Speaker 1: these things are not actually like they're not actually automated, right. Yeah, yeah, 777 00:45:41,560 --> 00:45:45,080 Speaker 1: so I guess what what they The level of technology 778 00:45:45,160 --> 00:45:47,560 Speaker 1: has gotten to the point where you don't need a 779 00:45:47,760 --> 00:45:50,920 Speaker 1: person who is watching them at all time. You can 780 00:45:51,040 --> 00:45:53,719 Speaker 1: have a person who is watching two of them at 781 00:45:53,760 --> 00:45:58,319 Speaker 1: all times, basically trying to you know, catching, catching if 782 00:45:58,600 --> 00:46:00,759 Speaker 1: they get caught like not being able to cross the 783 00:46:00,840 --> 00:46:05,200 Speaker 1: street or like one one of the food delivery bots 784 00:46:05,400 --> 00:46:08,320 Speaker 1: got caught up at a like yellow caution tape crime 785 00:46:08,400 --> 00:46:12,480 Speaker 1: scene in in l A. Unfortunately they just didn't know 786 00:46:12,560 --> 00:46:14,640 Speaker 1: how to deal with that and just walked right into 787 00:46:14,680 --> 00:46:17,600 Speaker 1: the crime scene and sucked everything up for the police. Yeah, 788 00:46:18,920 --> 00:46:20,840 Speaker 1: like that robot was like a cap you know what 789 00:46:20,920 --> 00:46:27,400 Speaker 1: I mean. It's probably robot privilege where they're like, the 790 00:46:27,480 --> 00:46:30,400 Speaker 1: cops have always been nice to me, so yeah, you know, 791 00:46:30,760 --> 00:46:33,400 Speaker 1: I've never heard of any problems here. My cousin is 792 00:46:33,440 --> 00:46:36,200 Speaker 1: a cop. You know, there's probably all sorts of robotic 793 00:46:36,280 --> 00:46:45,080 Speaker 1: technologies that are working. Robot my cousin is exactly but yeah, 794 00:46:45,560 --> 00:46:48,680 Speaker 1: it's like one in the UK, a food delivery thing 795 00:46:48,840 --> 00:46:51,360 Speaker 1: like just wandered into the streets and caused somebody to 796 00:46:51,440 --> 00:46:55,759 Speaker 1: like have to do an emergency stop. It's there. It's 797 00:46:55,760 --> 00:46:58,439 Speaker 1: a mess, and like that there is anytime you see 798 00:46:58,480 --> 00:47:00,360 Speaker 1: one of those and you're like, wow, they're really sending 799 00:47:00,400 --> 00:47:04,040 Speaker 1: that thing out there. It's actually somebody controlling it and 800 00:47:04,160 --> 00:47:07,839 Speaker 1: doing the work. Which is good because you want people 801 00:47:07,920 --> 00:47:10,799 Speaker 1: to have jobs. It's bad because this is the end 802 00:47:10,920 --> 00:47:14,080 Speaker 1: game here, is just finding more and more efficient ways 803 00:47:14,600 --> 00:47:18,759 Speaker 1: to make it so that one corporation can suck all 804 00:47:18,800 --> 00:47:22,840 Speaker 1: the profits directly up to you know, the board or 805 00:47:23,160 --> 00:47:26,560 Speaker 1: you know, the shareholders and not pay anybody along the way, 806 00:47:26,640 --> 00:47:30,399 Speaker 1: which has been more and more what our what we've 807 00:47:30,520 --> 00:47:33,719 Speaker 1: used technology for in the Western world. It's just more 808 00:47:33,760 --> 00:47:36,799 Speaker 1: and more the technology is used to take humans out 809 00:47:36,920 --> 00:47:40,839 Speaker 1: so you don't have to pay them, and we're yeah, 810 00:47:41,040 --> 00:47:44,719 Speaker 1: we're it's gonna go in a bad direction. Yeah. I 811 00:47:44,760 --> 00:47:47,480 Speaker 1: feel like automation is fine as long as you invest 812 00:47:47,560 --> 00:47:50,600 Speaker 1: in the communities like around it, like as long as 813 00:47:50,640 --> 00:47:55,279 Speaker 1: you invest in the changing like landscape of employment, you 814 00:47:55,320 --> 00:47:57,080 Speaker 1: know what I mean, and provide the skill sets that 815 00:47:57,160 --> 00:48:00,640 Speaker 1: allow people to like, you know, expand their knowledge to 816 00:48:00,719 --> 00:48:03,520 Speaker 1: be able to like do those things, to control the robots, 817 00:48:03,680 --> 00:48:07,360 Speaker 1: or to provide like infrastructure for them, But it just 818 00:48:07,400 --> 00:48:10,040 Speaker 1: seems like people just want robots to play with right now. 819 00:48:11,120 --> 00:48:13,920 Speaker 1: The amazing thing is that the big problem that these 820 00:48:13,960 --> 00:48:17,840 Speaker 1: delivery bots is running into is that cities have major 821 00:48:18,000 --> 00:48:22,880 Speaker 1: infrastructure problems that make impossible to be a pedestrian so 822 00:48:23,120 --> 00:48:26,879 Speaker 1: that they're like inaccessible for people with wheelchairs. I bet 823 00:48:26,960 --> 00:48:29,279 Speaker 1: you they're gonna like because Amazon will be like, we 824 00:48:29,360 --> 00:48:31,440 Speaker 1: need a ramp here. They're gonna do it, you know 825 00:48:31,440 --> 00:48:33,840 Speaker 1: what I mean, for the robots and for like Amazon 826 00:48:33,960 --> 00:48:37,359 Speaker 1: or whatever the fuck these companies rather than the people 827 00:48:37,360 --> 00:48:40,239 Speaker 1: who live in the fucking cities. But this is how 828 00:48:40,440 --> 00:48:44,160 Speaker 1: you have to provide a walkable city that is like 829 00:48:44,360 --> 00:48:48,520 Speaker 1: navigating like the people can navigate on wheelchair on from wheelchair. 830 00:48:48,840 --> 00:48:51,839 Speaker 1: Is like they because they need to make it more 831 00:48:52,000 --> 00:48:56,160 Speaker 1: navigable for the delivery butts robots are like I love 832 00:48:56,239 --> 00:49:03,120 Speaker 1: the grove right. Also, not as many unhoused people vote 833 00:49:03,160 --> 00:49:08,080 Speaker 1: Caruso if you wanted to look like this, I mean 834 00:49:08,160 --> 00:49:12,200 Speaker 1: bo poo poop poop. Karen Bass too woke? What yeah, 835 00:49:12,320 --> 00:49:16,360 Speaker 1: we're about start complaining about woke culture. Yeah, honestly, this 836 00:49:16,480 --> 00:49:21,759 Speaker 1: city really went to crap. I think what but I 837 00:49:21,840 --> 00:49:24,000 Speaker 1: think I do want to add though, right, because Paul 838 00:49:24,040 --> 00:49:26,600 Speaker 1: of you to your point about like automation works if 839 00:49:26,680 --> 00:49:29,560 Speaker 1: you are actually considering what the effects are going to 840 00:49:29,640 --> 00:49:32,200 Speaker 1: be to the people who are previously doing the work. 841 00:49:32,560 --> 00:49:36,000 Speaker 1: Because if you read any like internal research document that 842 00:49:36,160 --> 00:49:39,600 Speaker 1: circulates around the companies that fucking use this ship there, 843 00:49:39,760 --> 00:49:42,640 Speaker 1: it's like a fucking the for the profit horny, Like 844 00:49:42,760 --> 00:49:45,920 Speaker 1: this is a wet dream to to talk about these robots. 845 00:49:46,000 --> 00:49:49,399 Speaker 1: Like there's one that says, according to analysis quote side Rock, 846 00:49:49,520 --> 00:49:52,200 Speaker 1: robots could deliver food orders as little as six cents 847 00:49:52,239 --> 00:49:55,800 Speaker 1: per mile, twenty times less than the cost of human delivery. 848 00:49:56,080 --> 00:49:58,240 Speaker 1: If every household in the US were to use robot 849 00:49:58,280 --> 00:50:00,959 Speaker 1: delivery for groceries, today's average at one point six trips 850 00:50:01,000 --> 00:50:03,239 Speaker 1: per week for a household would translate into a four 851 00:50:03,360 --> 00:50:07,439 Speaker 1: billion dollar market opportunity. Moreover, the cost and convenience could 852 00:50:07,520 --> 00:50:11,560 Speaker 1: encourage customers to order groceries and smaller matches at higher frequency. 853 00:50:12,280 --> 00:50:14,640 Speaker 1: M hmm, like that's what it all like, that's what 854 00:50:14,719 --> 00:50:17,360 Speaker 1: they'll it's not about like and then that money whatever, 855 00:50:17,440 --> 00:50:20,640 Speaker 1: they're like, no, motherfucker, this is four bills on the table. 856 00:50:20,960 --> 00:50:23,120 Speaker 1: They also said. They go on to say this says 857 00:50:23,200 --> 00:50:25,760 Speaker 1: that additional use cases for robot delivery that will extend 858 00:50:25,800 --> 00:50:30,040 Speaker 1: past groceries Dominoes would create a five hundred million dollar opportunity. 859 00:50:30,080 --> 00:50:33,240 Speaker 1: For example, if robots were to deliver its pizzas because 860 00:50:33,239 --> 00:50:36,160 Speaker 1: of all the money saved. Because they don't need benefits, 861 00:50:36,239 --> 00:50:39,319 Speaker 1: they don't need gas, they don't need dignity. Yeah, they 862 00:50:39,400 --> 00:50:43,680 Speaker 1: need like oil care. Right, they need to get like 863 00:50:43,840 --> 00:50:49,920 Speaker 1: healthcare for their nuts and bolts, right healthcare charge of 864 00:50:50,040 --> 00:50:53,439 Speaker 1: healthcare costs. That health care is provided by Jeffie Loup, 865 00:50:53,480 --> 00:50:57,480 Speaker 1: which is significantly cheaper than do you think that they're 866 00:50:57,640 --> 00:51:02,040 Speaker 1: doin the tin Man dreams this for his his generations 867 00:51:02,840 --> 00:51:06,600 Speaker 1: after I am my ancestors wildest dreams and it's tin Man, 868 00:51:10,160 --> 00:51:13,399 Speaker 1: Ye who knows. We gotta find his who we gotta 869 00:51:13,440 --> 00:51:15,880 Speaker 1: find his early poetry and see what it looks like 870 00:51:16,000 --> 00:51:19,440 Speaker 1: to get in his head. Yeah, but Rocks so definitely 871 00:51:19,520 --> 00:51:21,960 Speaker 1: has a heart. So that's that's something that the tin 872 00:51:22,080 --> 00:51:25,160 Speaker 1: Man couldn't compete with. I I know earlier in the 873 00:51:25,280 --> 00:51:26,840 Speaker 1: in the like in this article, I think it was 874 00:51:26,880 --> 00:51:28,920 Speaker 1: You're a jam was talking about like what like what 875 00:51:29,040 --> 00:51:32,800 Speaker 1: happened inneumatic tubes and ship Yeah, I was around. I 876 00:51:33,000 --> 00:51:34,880 Speaker 1: always think about that because when I was a kid, 877 00:51:34,960 --> 00:51:36,680 Speaker 1: I always wanted to have a tube and then I 878 00:51:36,719 --> 00:51:42,719 Speaker 1: could change like Batman or whatever. So dope like that. 879 00:51:43,160 --> 00:51:47,120 Speaker 1: That's yeah, that when I thought that the Kaiser things 880 00:51:47,239 --> 00:51:50,200 Speaker 1: were delivering, and I think like that might be part 881 00:51:50,239 --> 00:51:52,080 Speaker 1: of it, because they do seem to be like sometimes 882 00:51:52,120 --> 00:51:55,640 Speaker 1: just roving around the whole Kaiser campus, like Kaiser's are 883 00:51:55,680 --> 00:51:59,880 Speaker 1: big healthcare provider in California, Like just going on air 884 00:52:00,120 --> 00:52:03,920 Speaker 1: ends from one building to another like that. That used 885 00:52:03,960 --> 00:52:07,640 Speaker 1: to be like our dreams of pneumatic tubes, like the 886 00:52:08,880 --> 00:52:11,479 Speaker 1: you know, just just a world where every every house 887 00:52:11,560 --> 00:52:13,960 Speaker 1: headed pneumatic tube and you just like dropped something in 888 00:52:14,040 --> 00:52:17,719 Speaker 1: there and it was instantly whisked away like that was 889 00:52:18,160 --> 00:52:22,160 Speaker 1: even was supposed to look like the department building should 890 00:52:22,200 --> 00:52:25,600 Speaker 1: have like trash and laundry shoots, you know what I mean? Like, 891 00:52:26,480 --> 00:52:34,160 Speaker 1: what are you doing on shoot technology? More shoots, less robots? Yeah, 892 00:52:35,120 --> 00:52:37,400 Speaker 1: And I got it. It's like almost I wonder if 893 00:52:37,440 --> 00:52:40,800 Speaker 1: there's a study that said, like if you improved people's 894 00:52:40,840 --> 00:52:45,040 Speaker 1: ability to travel very easily not using cars, how much 895 00:52:45,120 --> 00:52:47,920 Speaker 1: that would generate business for you too, you know what 896 00:52:47,960 --> 00:52:50,799 Speaker 1: I mean? Like if we lived in spaces that were 897 00:52:50,880 --> 00:52:53,400 Speaker 1: easier to be to walk around, to bike around, or 898 00:52:53,480 --> 00:52:55,680 Speaker 1: like to have public transit, how much better it is 899 00:52:55,719 --> 00:52:57,479 Speaker 1: for the cause It's like almost like now, let's fucking 900 00:52:57,520 --> 00:53:00,480 Speaker 1: put all of that money or like emphas on the 901 00:53:00,600 --> 00:53:03,399 Speaker 1: fucking robots rather than like, how about you could also 902 00:53:03,440 --> 00:53:05,319 Speaker 1: make it easier for customers to get to you too, 903 00:53:05,680 --> 00:53:08,320 Speaker 1: if you want to be super thinking about your bottom 904 00:53:08,400 --> 00:53:11,560 Speaker 1: line and shipped. Because yeah, it's always it's always funny 905 00:53:11,600 --> 00:53:13,719 Speaker 1: that we're like solving the weird problem and not the 906 00:53:13,800 --> 00:53:17,200 Speaker 1: simple one. Yeah, these robots, but the roads are. But 907 00:53:17,280 --> 00:53:19,440 Speaker 1: if you're provided a place where people just like liked 908 00:53:19,560 --> 00:53:22,680 Speaker 1: to be because their kids could walk around and like 909 00:53:22,840 --> 00:53:24,640 Speaker 1: not feel like they were going to get run over 910 00:53:24,760 --> 00:53:28,320 Speaker 1: by a car or an autonomous delivery bot, like what 911 00:53:29,320 --> 00:53:32,160 Speaker 1: and you know that, and then businesses were there and 912 00:53:32,200 --> 00:53:36,360 Speaker 1: people just wanted to like hang out there and I'm sorry, 913 00:53:36,400 --> 00:53:39,160 Speaker 1: we don't have the technology available for that. And in fact, 914 00:53:40,000 --> 00:53:42,400 Speaker 1: I'm double booked right now, so I'm I need to 915 00:53:42,440 --> 00:53:46,839 Speaker 1: leave this zoom meeting the funk out of my face. 916 00:53:47,000 --> 00:53:50,440 Speaker 1: There is that does not make any sense for real 917 00:53:50,960 --> 00:53:53,960 Speaker 1: well from something that doesn't make any sense. Let's move 918 00:53:54,000 --> 00:53:56,560 Speaker 1: on to something that makes sense. Of the sectomy mania 919 00:53:57,040 --> 00:54:02,440 Speaker 1: sweeping America or is it? I mean, and it's definitely 920 00:54:02,520 --> 00:54:06,520 Speaker 1: more than we've ever seen for sure, like the so 921 00:54:06,640 --> 00:54:14,880 Speaker 1: you guys are watching it watching scoma right now. Okay, 922 00:54:15,000 --> 00:54:19,440 Speaker 1: the Nutcracker just checked in. So that's actually that's the 923 00:54:19,520 --> 00:54:24,520 Speaker 1: thing that like the even the provosectomy things, like there's 924 00:54:24,560 --> 00:54:30,719 Speaker 1: like the Nutcracker mobile that provides like portable or mobile vasectomies, 925 00:54:31,160 --> 00:54:34,200 Speaker 1: just like Nutcracker really makes it sound like much more 926 00:54:34,400 --> 00:54:38,000 Speaker 1: violent and uncomfortable than it needs to be. Like I 927 00:54:38,120 --> 00:54:41,279 Speaker 1: feel like I feel like dudes have to masculinize it, 928 00:54:41,640 --> 00:54:45,680 Speaker 1: you know what I mean, because identity. So they're like, yeah, 929 00:54:45,719 --> 00:54:51,080 Speaker 1: I got my nuts crush by dude, what you're doing later? Well, 930 00:54:51,160 --> 00:54:53,560 Speaker 1: you know, like I don't really want Linda to like 931 00:54:53,640 --> 00:54:56,320 Speaker 1: have to take like hormonal birth control or anything like. 932 00:54:56,680 --> 00:54:59,080 Speaker 1: I just think like probably the most equitable solution here 933 00:54:59,160 --> 00:55:04,680 Speaker 1: just get my fuck and balls rocked breath. I'm sorry, 934 00:55:04,880 --> 00:55:07,520 Speaker 1: is that what they do? Actually? No, No, they're just 935 00:55:07,600 --> 00:55:10,000 Speaker 1: like they're just like ceiling tubes and ship actually where 936 00:55:10,000 --> 00:55:14,040 Speaker 1: like sperm goes. It's actually and it's not that bad. 937 00:55:14,360 --> 00:55:16,000 Speaker 1: But I mean we knew that from the office because 938 00:55:16,040 --> 00:55:21,160 Speaker 1: Michael Scott Snip Snap, Snip Snap, obviously. But yeah, they're 939 00:55:21,200 --> 00:55:25,640 Speaker 1: I mean, it's not like a national court, nationally coordinated 940 00:55:25,920 --> 00:55:29,880 Speaker 1: marketing campaign. But there's like fun stuff like the trend 941 00:55:30,000 --> 00:55:34,880 Speaker 1: is just dudes getting stomy. Yeah, I mean, there's a 942 00:55:34,960 --> 00:55:38,200 Speaker 1: hot dog restaurant which offers free milkshakes with proof of vasectomy. 943 00:55:38,640 --> 00:55:42,320 Speaker 1: There's a doctor with the the Nutcracker, as mentioned his 944 00:55:42,400 --> 00:55:45,240 Speaker 1: mobile clinic. But yeah, some dudes are like live streaming, 945 00:55:45,280 --> 00:55:50,239 Speaker 1: they're vasectomy is on social media and there there's some 946 00:55:50,360 --> 00:55:54,239 Speaker 1: weird etsy stuff like the sectomy is prevent abortions and 947 00:55:55,120 --> 00:55:57,600 Speaker 1: like that. That's a t shirt that was kind of 948 00:55:57,680 --> 00:56:01,960 Speaker 1: going viral this summer because as abortions people were losing 949 00:56:02,000 --> 00:56:05,919 Speaker 1: the right to their own conduct of healthcare. Oh ship, yeah, 950 00:56:05,960 --> 00:56:10,040 Speaker 1: you weren't here the I'm like, who was. I'm like 951 00:56:10,160 --> 00:56:12,640 Speaker 1: Jared Leto coming back from a desert trip being like, 952 00:56:12,880 --> 00:56:18,040 Speaker 1: what's the pandemic? The three ways got to do with it? Right? 953 00:56:18,440 --> 00:56:22,759 Speaker 1: But this is very necessary because as of just three 954 00:56:22,840 --> 00:56:24,600 Speaker 1: percent of women under the age of thirty in the 955 00:56:24,719 --> 00:56:28,520 Speaker 1: US rely on a partners vasectomy as a contraceptive, and 956 00:56:29,160 --> 00:56:31,680 Speaker 1: there's a lot of like bullshit claims that vasectomy is 957 00:56:31,719 --> 00:56:35,680 Speaker 1: caused psychological stress and possess a risk that thesectimized men 958 00:56:35,800 --> 00:56:42,000 Speaker 1: could be cuckold at that or whoa for free? Yo? 959 00:56:42,560 --> 00:56:46,080 Speaker 1: Hold on, now, normally I get I gotta pay top 960 00:56:46,160 --> 00:56:49,400 Speaker 1: dollar to get cooked. Right, you're saying I can be 961 00:56:49,440 --> 00:56:53,800 Speaker 1: a responsible partner and get cooked. Okay, okay, wow, They're like, no, 962 00:56:53,920 --> 00:56:56,840 Speaker 1: that's what we mean, sir. Oh but it's so funny 963 00:56:56,920 --> 00:57:02,319 Speaker 1: that that's like the whole blue balls thing. They're like, right, right, 964 00:57:02,960 --> 00:57:05,280 Speaker 1: can you believe it? It's like I don't know anything 965 00:57:05,360 --> 00:57:08,440 Speaker 1: about like a woman's body, but like you gotta believe 966 00:57:08,560 --> 00:57:11,120 Speaker 1: that if I get horny, like it'll be bad for me, 967 00:57:11,960 --> 00:57:15,520 Speaker 1: you know. I like, yeah, I have a couple of 968 00:57:15,520 --> 00:57:22,400 Speaker 1: friends who got vasectomies and it's they got their ship rocked. Okay, 969 00:57:22,760 --> 00:57:25,960 Speaker 1: it was fucking sick. But it is interesting how much 970 00:57:26,080 --> 00:57:28,760 Speaker 1: like I went from being like yo, a vasectomy and 971 00:57:28,840 --> 00:57:30,840 Speaker 1: that sounds like yeah, man, it's like it's real quick, 972 00:57:31,240 --> 00:57:34,439 Speaker 1: and it's like I just I was like slightly uncomfortable 973 00:57:34,520 --> 00:57:36,960 Speaker 1: for a little bit, and I was like, oh, okay, 974 00:57:37,440 --> 00:57:40,600 Speaker 1: oh that's good. Yeah, And then you watch like the 975 00:57:40,680 --> 00:57:43,440 Speaker 1: TikTok video, Like the dude is kind of uncomfortable, but 976 00:57:43,600 --> 00:57:45,920 Speaker 1: not nearly the discomfort you would have from you know, 977 00:57:46,040 --> 00:57:48,520 Speaker 1: the chaos of an unwanted pregnancy or just you know, 978 00:57:48,640 --> 00:57:51,880 Speaker 1: generally not being a considerate partner. But yeah, I was like, 979 00:57:52,160 --> 00:57:55,920 Speaker 1: oh yeah, okay, that helps. The help are like dreaming it. 980 00:57:55,960 --> 00:57:57,680 Speaker 1: I don't I don't know if they're playing it up 981 00:57:57,800 --> 00:58:01,000 Speaker 1: to be like to get sympathy or whatever, but the 982 00:58:03,120 --> 00:58:06,200 Speaker 1: it's also interesting like the culture around it. Like there's 983 00:58:06,200 --> 00:58:10,280 Speaker 1: a doctor in Florida who has billboards everywhere and refers 984 00:58:10,320 --> 00:58:13,680 Speaker 1: to himself as Florida's Vasectomy King, like he's like a 985 00:58:13,760 --> 00:58:19,120 Speaker 1: real estate broker or something, vasectomy king, but his billboards 986 00:58:19,160 --> 00:58:22,680 Speaker 1: are so omnipresent that like people put like there's a 987 00:58:23,360 --> 00:58:26,840 Speaker 1: one where it's like the low cost, no cost vasectomy, 988 00:58:26,960 --> 00:58:28,880 Speaker 1: and then right under it someone put up a rum 989 00:58:28,960 --> 00:58:31,600 Speaker 1: billboard that was like ouch, looks like you could use 990 00:58:31,760 --> 00:58:35,840 Speaker 1: wicked dolphin rum right and the dolphins grabbing its balls 991 00:58:36,120 --> 00:58:43,240 Speaker 1: or I don't know how I missed that. I'm always funny. 992 00:58:43,800 --> 00:58:46,680 Speaker 1: I love the idea of like an ad on a bench, 993 00:58:46,920 --> 00:58:49,360 Speaker 1: like a real estate ad, but like it's just like 994 00:58:49,440 --> 00:58:56,840 Speaker 1: censored by the bench. Right, well, Poulby as always truly 995 00:58:56,880 --> 00:58:59,919 Speaker 1: a pleasure having you back on the daily zeitgeist. Where 996 00:59:00,040 --> 00:59:04,360 Speaker 1: can people find you? Follow you all that good stuff? Um, 997 00:59:04,520 --> 00:59:07,280 Speaker 1: Pola vignal in p A l l A v I 998 00:59:07,520 --> 00:59:09,840 Speaker 1: g u n A l a n on Twitter, on Instagram, 999 00:59:09,920 --> 00:59:13,520 Speaker 1: on Facebook. You guys, I realized I started a podcast 1000 00:59:13,640 --> 00:59:17,000 Speaker 1: that's like kind of like similar to this in that 1001 00:59:17,200 --> 00:59:19,240 Speaker 1: it's called City Council, but it's spelled c O U 1002 00:59:19,400 --> 00:59:23,240 Speaker 1: n s e O like getting a council or or whatever. 1003 00:59:23,640 --> 00:59:26,480 Speaker 1: But uh, it's uh I Relea said every Wednesday, and 1004 00:59:26,640 --> 00:59:29,960 Speaker 1: it's a comedy politics podcast and we talk about we 1005 00:59:30,040 --> 00:59:31,920 Speaker 1: have like a trivia game at the top and then 1006 00:59:31,960 --> 00:59:34,080 Speaker 1: we talk about some headlines and it's focus more on 1007 00:59:34,200 --> 00:59:37,680 Speaker 1: like local issues, local politics. But yeah, I was like, 1008 00:59:37,760 --> 00:59:40,520 Speaker 1: oh my god, there's overlap here. Um, so I've been 1009 00:59:40,920 --> 00:59:43,280 Speaker 1: doing that. I've been I have my Patreon so I 1010 00:59:43,320 --> 00:59:48,960 Speaker 1: can help pay for my labor over here. But yeah, 1011 00:59:49,000 --> 00:59:51,040 Speaker 1: that's where you can find me. And I'm doing shows 1012 00:59:51,080 --> 00:59:54,720 Speaker 1: all over l A again. So I'm back, baby. And 1013 00:59:54,880 --> 00:59:57,360 Speaker 1: is there a tweet or some other work of social 1014 00:59:57,440 --> 01:00:00,720 Speaker 1: media you've been enjoying? Yes, And if there's anyway you 1015 01:00:00,800 --> 01:00:04,440 Speaker 1: can play this? Hold on, I have to share this, Okay, 1016 01:00:04,560 --> 01:00:07,160 Speaker 1: So Matt Leeb on Twitter. I don't know, do you 1017 01:00:07,200 --> 01:00:12,040 Speaker 1: guys know Matt Leeb. He's never heard of. He's he's 1018 01:00:12,080 --> 01:00:14,960 Speaker 1: really funny. I love his videos. He put up his 1019 01:00:15,240 --> 01:00:18,320 Speaker 1: video There's it's a two parter because it's so long, 1020 01:00:18,480 --> 01:00:20,240 Speaker 1: and I think the second half is funnier than the 1021 01:00:20,320 --> 01:00:22,400 Speaker 1: first half. I mean, it's all great, but it's a 1022 01:00:23,200 --> 01:00:26,640 Speaker 1: a Taylor Swift song, redone to be about the Sopranos. 1023 01:00:26,880 --> 01:00:28,439 Speaker 1: I don't know if you guys could play a clip, 1024 01:00:30,080 --> 01:00:34,880 Speaker 1: it's like the opening of the Sopranos staring Honey creeping 1025 01:00:35,040 --> 01:00:40,160 Speaker 1: on the fire man boddies, treating everyone in this town 1026 01:00:40,240 --> 01:00:47,000 Speaker 1: like a fool. Johnny kicks that. Johnny kicks in veto 1027 01:00:47,960 --> 01:00:56,560 Speaker 1: like a fat digo wop Vito hungry for unch. It 1028 01:00:56,760 --> 01:01:01,000 Speaker 1: like goes on for like several minutes and heart becomes 1029 01:01:01,000 --> 01:01:03,760 Speaker 1: it's a really meta where they're like and she brings 1030 01:01:03,840 --> 01:01:06,040 Speaker 1: in like a female voice and she's like, who's the 1031 01:01:06,200 --> 01:01:10,240 Speaker 1: song for? It just gets defer comer and it's so funny, 1032 01:01:10,760 --> 01:01:14,000 Speaker 1: And I love Matt Lee's videos. He's really good. Jokes 1033 01:01:14,040 --> 01:01:18,280 Speaker 1: songs are fantastic. Yeah, Miles, where can people find you? 1034 01:01:18,360 --> 01:01:21,400 Speaker 1: What's a tweet you've been enjoy You can find me 1035 01:01:21,640 --> 01:01:25,800 Speaker 1: on Twitter and Instagram at Miles of Gray. You can 1036 01:01:25,840 --> 01:01:28,400 Speaker 1: also find Jack and I on our other podcast, Miles 1037 01:01:28,440 --> 01:01:31,680 Speaker 1: and Jack Got Mad Boosts. We're talking about basketball because 1038 01:01:31,680 --> 01:01:34,440 Speaker 1: the NBA season is starting and wow, what a treat 1039 01:01:34,680 --> 01:01:38,880 Speaker 1: her teams are a collective. Oh and four, I need 1040 01:01:38,960 --> 01:01:41,160 Speaker 1: to talk to you guys about this random thing. But 1041 01:01:41,320 --> 01:01:44,400 Speaker 1: like I need recommendations from you guys on basketball documentaries 1042 01:01:44,440 --> 01:01:47,200 Speaker 1: because like I don't know about basketball, but I always 1043 01:01:47,280 --> 01:01:49,560 Speaker 1: watched documentaries that come out because it's the only thing 1044 01:01:49,640 --> 01:01:51,800 Speaker 1: that like hypes me up in my life. Like I 1045 01:01:51,880 --> 01:01:54,600 Speaker 1: just get I'm like, oh, let's fucking go. When I 1046 01:01:54,720 --> 01:01:57,080 Speaker 1: watched like any basketball and I don't know, I'll pay 1047 01:01:57,120 --> 01:01:59,200 Speaker 1: attention to ship, you know what I mean, Like maybe 1048 01:01:59,320 --> 01:02:02,000 Speaker 1: I'll give you something for you. But I watched Redeemed 1049 01:02:02,040 --> 01:02:08,080 Speaker 1: team recently and now I literally as soon as the 1050 01:02:08,120 --> 01:02:10,880 Speaker 1: new doc comes out, I'm like, oh, I gotta a 1051 01:02:11,000 --> 01:02:12,880 Speaker 1: lot of time to watch this. And it's like the 1052 01:02:12,960 --> 01:02:16,840 Speaker 1: weirdest thing about about my personality, but I'm like, I 1053 01:02:17,000 --> 01:02:20,200 Speaker 1: need I need new basketball document You're like, we're getting 1054 01:02:20,200 --> 01:02:24,400 Speaker 1: that chip Man, We're getting that chip okay, and also 1055 01:02:24,440 --> 01:02:28,800 Speaker 1: find me and Sophia Alexandra on a four twenty day fiance. Uh. 1056 01:02:28,960 --> 01:02:31,560 Speaker 1: Let's see, man, there's been so many fucking good tweets. 1057 01:02:31,800 --> 01:02:34,960 Speaker 1: First up, I do want to shout out our guests 1058 01:02:35,120 --> 01:02:37,480 Speaker 1: Paul of Vigan, and I don't remember what it is, 1059 01:02:37,520 --> 01:02:40,080 Speaker 1: but I can almost I can recite the tweet because 1060 01:02:40,160 --> 01:02:42,040 Speaker 1: I think you said I don't want to make this 1061 01:02:42,200 --> 01:02:44,760 Speaker 1: a haunted house. I'm trying. Oh no, this it is 1062 01:02:45,080 --> 01:02:48,560 Speaker 1: me proposing. This is from appo me proposing. I'm trying 1063 01:02:48,600 --> 01:02:53,080 Speaker 1: to turn this haunted house into a haunted home, which 1064 01:02:53,240 --> 01:02:57,680 Speaker 1: just felt right. I love that, love that. Uh. Let's see, 1065 01:02:57,720 --> 01:03:00,520 Speaker 1: there's so many fun Okay. This one is also really good. 1066 01:03:00,640 --> 01:03:02,880 Speaker 1: This was This is from Ben Phillips at Ben Phillips 1067 01:03:02,920 --> 01:03:05,120 Speaker 1: seventy six. It says German TV news on what is 1068 01:03:05,120 --> 01:03:08,520 Speaker 1: happening in British politics is amazing. No need to understand German. 1069 01:03:08,800 --> 01:03:12,000 Speaker 1: Just watched to the end and here is this German 1070 01:03:12,080 --> 01:03:18,440 Speaker 1: news broadcast talking about what is happening in the UK. Chefs, 1071 01:03:18,480 --> 01:03:22,840 Speaker 1: that's Parliament mittin Vaughton, Felice. I'm fucking furious and I 1072 01:03:23,000 --> 01:03:31,080 Speaker 1: don't fucking cat anymore that happened. I don't know. I 1073 01:03:31,200 --> 01:03:34,800 Speaker 1: don't know, but I love it. Next up at Ernie 1074 01:03:34,880 --> 01:03:37,840 Speaker 1: Lies tweeted, Beetlejuice is a horror movie about what if 1075 01:03:37,880 --> 01:03:41,560 Speaker 1: you knew a guy who wouldn't stop doing bits and 1076 01:03:41,760 --> 01:03:45,920 Speaker 1: then finally Drew Burr's at Buddy Underscore. Ferrara tweeted, I 1077 01:03:45,960 --> 01:03:47,880 Speaker 1: don't know if this is a pick from like Lord 1078 01:03:47,920 --> 01:03:50,240 Speaker 1: of the Ring Show or something, but it just says 1079 01:03:50,480 --> 01:03:53,760 Speaker 1: my house plant watching me pour water in my bond 1080 01:03:54,160 --> 01:03:56,880 Speaker 1: and it's like, clearly this like dude who's like decomposing 1081 01:03:57,240 --> 01:04:02,880 Speaker 1: that's from from Dragons, that's like at the end of 1082 01:04:02,960 --> 01:04:06,440 Speaker 1: his life, like dying man. Things don't go well for him. 1083 01:04:06,520 --> 01:04:12,480 Speaker 1: Hunt Hey all good. My first thing was like, damn 1084 01:04:12,560 --> 01:04:18,280 Speaker 1: my plants? Fuck? Alright? Uh tweet I've been enjoying is 1085 01:04:18,320 --> 01:04:22,400 Speaker 1: the Beetle Juice? Juan and All also no Paparazzi tweeted 1086 01:04:22,560 --> 01:04:26,120 Speaker 1: Nathan Fielder is borat for people who are lactose intolerant, 1087 01:04:26,600 --> 01:04:31,760 Speaker 1: which now so everyone except the Germans basically except for it. Yeah, 1088 01:04:31,920 --> 01:04:35,320 Speaker 1: it's except for non Germans. You can find me on 1089 01:04:35,400 --> 01:04:37,800 Speaker 1: Twitter at Jack Underscore. O'Brian, you can find us on 1090 01:04:37,880 --> 01:04:41,080 Speaker 1: Twitter at Daily Zygeys were at the Daily Zygeist on Instagram. 1091 01:04:41,160 --> 01:04:43,240 Speaker 1: We have a Facebook fan page on a website Daily 1092 01:04:43,400 --> 01:04:45,760 Speaker 1: zychis dot com where we post our episodes and our 1093 01:04:45,840 --> 01:04:48,640 Speaker 1: footnotes where we link off to the information that we 1094 01:04:48,720 --> 01:04:50,840 Speaker 1: talked about in today's episode, as well as a song 1095 01:04:50,960 --> 01:04:53,240 Speaker 1: that we think you might enjoy. Miles, what song do 1096 01:04:53,360 --> 01:04:57,600 Speaker 1: we think people might enjoy today? This track? I think 1097 01:04:57,680 --> 01:05:01,160 Speaker 1: this is like a French house pop group. It's called 1098 01:05:01,600 --> 01:05:05,240 Speaker 1: Mille du Montaigne. Yeah, I think that means honey from 1099 01:05:05,280 --> 01:05:07,720 Speaker 1: the Mountain. I don't know. I know Mill's honey and 1100 01:05:07,760 --> 01:05:09,920 Speaker 1: I think that what they're talking about his mountain. Anyway, 1101 01:05:10,120 --> 01:05:16,440 Speaker 1: I think this track, oh no, that's yeah, that's batlet 1102 01:05:16,600 --> 01:05:20,600 Speaker 1: answers say before we go on stage, we say nearly 1103 01:05:20,680 --> 01:05:25,240 Speaker 1: we can't say break a leg. Oh and this is 1104 01:05:25,280 --> 01:05:28,520 Speaker 1: called Le Tuto and it's like really playful track. It 1105 01:05:28,600 --> 01:05:31,240 Speaker 1: felt like it's felt like I like, I don't know why. 1106 01:05:31,360 --> 01:05:33,560 Speaker 1: This is a very vapid image, but like I found 1107 01:05:33,640 --> 01:05:35,520 Speaker 1: a home video and I popped it in. It was 1108 01:05:35,560 --> 01:05:38,320 Speaker 1: like some French famili's vacation. I'm like, oh, this is whimsical. 1109 01:05:38,720 --> 01:05:40,720 Speaker 1: That's the energy of this track, Like it's got a 1110 01:05:40,760 --> 01:05:44,320 Speaker 1: good upbeat feeling with the French lyrics. I don't understand, 1111 01:05:44,400 --> 01:05:46,160 Speaker 1: could be talking about some fund up ship, but it 1112 01:05:46,280 --> 01:05:49,800 Speaker 1: feels cool. So this is let Tuto check it out. 1113 01:05:50,160 --> 01:05:54,440 Speaker 1: Do they just break into American square words in the curious? 1114 01:05:55,480 --> 01:05:59,560 Speaker 1: Fucking furious? I'm not gonna take it anymore. All right, 1115 01:05:59,600 --> 01:06:01,280 Speaker 1: Well the day a leasa guys, the production of by 1116 01:06:01,400 --> 01:06:03,680 Speaker 1: heart Radio from more podcasts from my heart Radio, visit 1117 01:06:03,720 --> 01:06:05,760 Speaker 1: the I Heart Radio app, Apple podcast or wherever you 1118 01:06:05,880 --> 01:06:07,720 Speaker 1: listen to your favorite shows. That it is going to 1119 01:06:07,800 --> 01:06:09,680 Speaker 1: do it for us this morning, but we are back 1120 01:06:09,800 --> 01:06:12,120 Speaker 1: this afternoon to tell you what is trending and we 1121 01:06:12,200 --> 01:06:16,200 Speaker 1: will talk to you all then. Bye bye m