1 00:00:00,200 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:07,880 Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments 3 00:00:08,160 --> 00:00:14,880 Speaker 1: from this week, all edited together into one NonStop infotainment 4 00:00:16,079 --> 00:00:22,440 Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is 5 00:00:22,720 --> 00:00:27,680 Speaker 1: the Weekly Zeitgeist. Well miles, speaking of starting the week 6 00:00:27,720 --> 00:00:30,600 Speaker 1: off right, you're thrilled to be joined by a brilliant 7 00:00:30,600 --> 00:00:34,720 Speaker 1: and talented writer, musician, and podcaster whose work has appeared 8 00:00:34,720 --> 00:00:37,680 Speaker 1: in Rolling Stone Spin Stereo Gunman, who co hosts the 9 00:00:37,680 --> 00:00:40,599 Speaker 1: podcast How Did We Get Weird? With Vanessa Bear and 10 00:00:40,680 --> 00:00:46,360 Speaker 1: Jonah Bear. It's Jonah Bar. Hey, guys, how's it going good? 11 00:00:46,479 --> 00:00:49,120 Speaker 1: How are you doing good? I mean, just just eight 12 00:00:49,120 --> 00:00:52,519 Speaker 1: tons of caviare for National caveat Day for breakfast. It 13 00:00:52,600 --> 00:00:56,920 Speaker 1: was great. Yeah. See another a gun in a fucking 14 00:00:57,200 --> 00:01:03,640 Speaker 1: puke man. Too much caviare too much? Beluga man? One? 15 00:01:03,920 --> 00:01:06,480 Speaker 1: What's that one? There's like that one caviar shop in 16 00:01:06,560 --> 00:01:09,240 Speaker 1: Beverly Hills that like, whenever I walk by, I'm like 17 00:01:09,560 --> 00:01:13,040 Speaker 1: Petrosi and there's like a Petrosian caviar like restaurant and 18 00:01:13,040 --> 00:01:15,360 Speaker 1: I'm like, what kind of like that looks like a 19 00:01:15,400 --> 00:01:17,800 Speaker 1: place you're advertising that you want to be strong arm 20 00:01:17,880 --> 00:01:21,360 Speaker 1: robbed when you walk, Like, I can't think of a 21 00:01:21,440 --> 00:01:24,280 Speaker 1: more like superfluous like endeavor to be Like I went 22 00:01:24,319 --> 00:01:28,800 Speaker 1: to the caviar restaurant today, you'd like take your watch 23 00:01:29,600 --> 00:01:32,160 Speaker 1: people talking about like going places to people watch, like 24 00:01:32,240 --> 00:01:35,560 Speaker 1: that is appointment viewing people watching just going there and 25 00:01:35,600 --> 00:01:38,880 Speaker 1: seeing anybody who is strange enough to just go into 26 00:01:38,920 --> 00:01:44,280 Speaker 1: a caviar restaurant. Yeah, I didn't know that existed. Yeah, 27 00:01:44,319 --> 00:01:47,120 Speaker 1: what do you think? Like that? The target demographic for 28 00:01:47,160 --> 00:01:50,840 Speaker 1: a caviar restaurant is like, look, I don't know, Like 29 00:01:50,920 --> 00:01:54,040 Speaker 1: you're a lawyer who gets like billionaires off for like 30 00:01:54,440 --> 00:01:57,640 Speaker 1: war crimes and ship like that kind of vibe. I 31 00:01:57,640 --> 00:02:01,600 Speaker 1: feel like like the bartender at the caviar restaurant has 32 00:02:01,640 --> 00:02:05,320 Speaker 1: to deal cocaine, right, like, but it's like not even 33 00:02:05,360 --> 00:02:10,280 Speaker 1: illegal at that point. It's just like, yeah, yeah, I 34 00:02:10,360 --> 00:02:13,880 Speaker 1: have a license to deal cocaine at this level. Yeah, 35 00:02:13,960 --> 00:02:17,600 Speaker 1: it's all medical grade. This is a Petrosian boutique. It's 36 00:02:17,639 --> 00:02:19,880 Speaker 1: like oh right, right, right, okay, I'm sorry. Like I'm 37 00:02:19,919 --> 00:02:23,360 Speaker 1: looking at their they have caviare scrambled eggs. You know 38 00:02:23,360 --> 00:02:32,480 Speaker 1: how much that dishes? Thirty six dollars caviare salad Caviare 39 00:02:32,600 --> 00:02:38,280 Speaker 1: salad is a forty two fucking dollars salad. I like 40 00:02:38,320 --> 00:02:42,440 Speaker 1: how they they're closed Monday, Tuesday, Wednesday. Okay, so you 41 00:02:42,480 --> 00:02:47,120 Speaker 1: know we don't funk around on those day Sunday. Op, Well, 42 00:02:47,120 --> 00:02:50,239 Speaker 1: that's when the really good shipments come through. Yeah, exactly. 43 00:02:50,240 --> 00:02:51,680 Speaker 1: I feel like there's a lot of people, a lot 44 00:02:51,720 --> 00:02:56,280 Speaker 1: of ascots there. I've started noticing that, like very rich people, 45 00:02:56,520 --> 00:02:58,640 Speaker 1: at a certain point, you get so rich that you 46 00:02:58,720 --> 00:03:02,160 Speaker 1: then start cause playing as a very rich person again, 47 00:03:02,200 --> 00:03:04,760 Speaker 1: like you just like lose all self awareness and you 48 00:03:04,880 --> 00:03:09,799 Speaker 1: are you just look incredibly like like a rich guy 49 00:03:09,880 --> 00:03:15,280 Speaker 1: from the sixties, like Screwball Comedy, right. Yeah, And the 50 00:03:15,360 --> 00:03:19,160 Speaker 1: reviews are fucking frightening, like every it's all five stars, 51 00:03:19,200 --> 00:03:21,640 Speaker 1: because I think these are all aspiring, wealthy people, like 52 00:03:21,960 --> 00:03:25,040 Speaker 1: I mean, there's really no other place to go for caviar, 53 00:03:25,280 --> 00:03:33,280 Speaker 1: Like really JB from Costa Mesa truly appointment dining. I'm 54 00:03:33,280 --> 00:03:35,000 Speaker 1: just gonna I might have to go by there this 55 00:03:35,040 --> 00:03:36,920 Speaker 1: week and just take a couple of photos and and 56 00:03:36,960 --> 00:03:38,880 Speaker 1: do like those TikTok videos like hey man, what do 57 00:03:38,920 --> 00:03:43,720 Speaker 1: you do for a living? Like talking to the Petrosian restaurant. 58 00:03:43,920 --> 00:03:45,920 Speaker 1: I want to go and interview people like that needs 59 00:03:45,960 --> 00:03:49,640 Speaker 1: to be then let's let's do that. We gotta just 60 00:03:49,680 --> 00:03:52,600 Speaker 1: to interview and like nobody's gonna agree to be interviewed. 61 00:03:52,720 --> 00:03:57,880 Speaker 1: But yeah, but they're fun there. Yeah, well we'll blur 62 00:03:58,000 --> 00:04:01,120 Speaker 1: their face for the purposes of the podest Jonah, where 63 00:04:01,120 --> 00:04:02,760 Speaker 1: are you coming to us from? I'm coming to you 64 00:04:02,880 --> 00:04:08,440 Speaker 1: from western Massachusetts. The Berkshire's okay, So yeah, are you 65 00:04:08,440 --> 00:04:12,240 Speaker 1: from Are you from Massachusetts? I'm not from Massachusetts. Uh, 66 00:04:12,480 --> 00:04:14,840 Speaker 1: from Cleveland originally. And then I lived in like the 67 00:04:14,880 --> 00:04:17,280 Speaker 1: New York Brooklyn area for about eleven years, and I've 68 00:04:17,279 --> 00:04:19,839 Speaker 1: been out here for maybe five years or so. Oh 69 00:04:19,960 --> 00:04:25,839 Speaker 1: nice person from Cleveland. I always said, Yeah, well they're 70 00:04:25,880 --> 00:04:30,359 Speaker 1: almost all good. You said that it was a challenge. Yeah, 71 00:04:30,800 --> 00:04:32,839 Speaker 1: let me introduce you to a couple of people. You know. 72 00:04:32,920 --> 00:04:34,920 Speaker 1: I had this weird flashman And when I got my 73 00:04:35,080 --> 00:04:37,160 Speaker 1: license in New York, I had an Ohio license. I 74 00:04:37,160 --> 00:04:38,960 Speaker 1: remember going to d MV and and I had all 75 00:04:38,960 --> 00:04:41,279 Speaker 1: my paperwork ready and the person working there was like, 76 00:04:41,320 --> 00:04:43,760 Speaker 1: Ohio people, they always got it down, like they always 77 00:04:43,760 --> 00:04:45,560 Speaker 1: got the paperwork ready. He was like, I don't have 78 00:04:45,560 --> 00:04:47,760 Speaker 1: to wait. I don't know if that's an Ohio thing. 79 00:04:47,800 --> 00:04:50,320 Speaker 1: But that's another thing. But yeah, maybe the filter of 80 00:04:50,400 --> 00:04:54,039 Speaker 1: Ohio people that moved to New York, like a different 81 00:04:54,080 --> 00:04:56,040 Speaker 1: level of motivation or like, I didn't come this way 82 00:04:56,040 --> 00:04:59,600 Speaker 1: to funk up this DMV appointment. I left Ohio for this, 83 00:04:59,800 --> 00:05:02,120 Speaker 1: and that is the same filter I'm dealing with because 84 00:05:02,120 --> 00:05:05,440 Speaker 1: I'm not meeting too many Cleveland people in Cleveland. I'm 85 00:05:05,480 --> 00:05:08,400 Speaker 1: meeting a lot of people who left Cleveland. Yes, but yeah, 86 00:05:08,480 --> 00:05:10,440 Speaker 1: I feel like everyone's consistent. Like I feel like all 87 00:05:10,480 --> 00:05:12,040 Speaker 1: the people we talked to that are from Cleveland, like, 88 00:05:12,080 --> 00:05:14,719 Speaker 1: oh yeah, it's it's people are chill people. Yeah. Usually 89 00:05:14,720 --> 00:05:19,159 Speaker 1: people will be like, oh yeah, let me introduce you 90 00:05:19,200 --> 00:05:23,040 Speaker 1: to my high school bully. But yeah, I don't know, 91 00:05:23,240 --> 00:05:25,520 Speaker 1: it seems it seems like a solid place. It's a 92 00:05:25,520 --> 00:05:27,560 Speaker 1: good spot. It's a good spot. Yeah. Yeah, see you 93 00:05:27,600 --> 00:05:30,320 Speaker 1: look at this. It's a good spot. Says that about 94 00:05:30,360 --> 00:05:35,480 Speaker 1: their hometown. How are the Berkshires beautiful? It's really nice 95 00:05:35,520 --> 00:05:37,599 Speaker 1: here in the summer. There's a lot of nature, a 96 00:05:37,600 --> 00:05:40,680 Speaker 1: lot of trees, a lot of you know, aren't called. 97 00:05:40,760 --> 00:05:42,800 Speaker 1: I mean, I really like not living in a city 98 00:05:43,000 --> 00:05:45,720 Speaker 1: and I really like being out here, and uh yeah, 99 00:05:45,760 --> 00:05:50,039 Speaker 1: it's really beautiful. Nice sounds amazing. Have you have either 100 00:05:50,120 --> 00:05:53,920 Speaker 1: you've been out this way before. I've been to Massachusetts. 101 00:05:54,160 --> 00:05:55,839 Speaker 1: When I was younger. I played a lot of hockey, 102 00:05:55,880 --> 00:05:58,359 Speaker 1: but it was mostly like playing in and around like 103 00:05:58,400 --> 00:06:02,559 Speaker 1: the Boston area. I'm less less versed in the outer 104 00:06:02,680 --> 00:06:06,960 Speaker 1: areas of Massachusetts outside of Boston. Yeah, I went to 105 00:06:07,080 --> 00:06:09,200 Speaker 1: I went to high school for two years in Boston. 106 00:06:09,520 --> 00:06:12,000 Speaker 1: The the aforementions before we started recording, we were talking 107 00:06:12,000 --> 00:06:15,680 Speaker 1: about why, how it's a bad idea to ever give 108 00:06:15,760 --> 00:06:18,560 Speaker 1: high school students the freedom of living in a dorm. 109 00:06:18,680 --> 00:06:21,200 Speaker 1: That's why I was doing that in Massachusetts. But I didn't. 110 00:06:21,400 --> 00:06:23,560 Speaker 1: I didn't get out to the Berkshire is that much 111 00:06:23,839 --> 00:06:27,159 Speaker 1: other than like once or twice, but it did seem 112 00:06:27,240 --> 00:06:29,760 Speaker 1: very pretty out there. It is, And I did kind 113 00:06:29,760 --> 00:06:31,800 Speaker 1: of that dorm thing too. When I was seventeen, I 114 00:06:31,839 --> 00:06:34,960 Speaker 1: did a five week guitar program at Berkeley College Music 115 00:06:35,080 --> 00:06:38,040 Speaker 1: in Boston, so I had that high school kid dorm 116 00:06:38,080 --> 00:06:43,080 Speaker 1: experience in Boston as well. All guitar guitar it was. 117 00:06:43,480 --> 00:06:45,040 Speaker 1: It was a lot of guitar. It was a lot 118 00:06:45,120 --> 00:06:48,080 Speaker 1: of kids in practice rooms trying to play jazz or 119 00:06:48,080 --> 00:06:51,680 Speaker 1: play really fast like shredding guitar, right right right. That 120 00:06:51,800 --> 00:06:55,120 Speaker 1: was more the vibe when you watch kids go from 121 00:06:55,160 --> 00:06:57,120 Speaker 1: like I like jazz guitar to be like I funk 122 00:06:57,200 --> 00:07:00,440 Speaker 1: with dream theater. Actually that's where I'm headed now. A 123 00:07:00,480 --> 00:07:02,680 Speaker 1: lot of people had the dream theater signature. I've been 124 00:07:02,680 --> 00:07:04,760 Speaker 1: as guitar for sure, right right exactly, That's what I 125 00:07:04,800 --> 00:07:06,960 Speaker 1: feel like. There's always like that fork and I'll grew 126 00:07:07,000 --> 00:07:09,039 Speaker 1: up a big music nerd kid as well, and like 127 00:07:09,080 --> 00:07:12,640 Speaker 1: always watch like the guitar kids be like getting into Flamenco, 128 00:07:13,120 --> 00:07:16,840 Speaker 1: like Shredder, ripping metal, or being like I'm like five 129 00:07:16,960 --> 00:07:22,520 Speaker 1: D chess brain prog rock shit. I don't know what 130 00:07:22,560 --> 00:07:28,520 Speaker 1: any of that means, but it's all good. What is 131 00:07:28,600 --> 00:07:34,360 Speaker 1: something from your search history? Well, obviously being very topical, 132 00:07:34,640 --> 00:07:39,880 Speaker 1: I was searching this morning j Lo and Ben Afflecks wedding. Yes, 133 00:07:40,840 --> 00:07:43,360 Speaker 1: I can't believe it happened, you know, I felt like, 134 00:07:43,520 --> 00:07:46,280 Speaker 1: is this the most interesting thing about my personality? Is 135 00:07:46,280 --> 00:07:50,440 Speaker 1: anyone's going to glean anything about, you know, the mystery 136 00:07:50,480 --> 00:07:53,560 Speaker 1: that I shroud myself in as greta titleman. You know, no, 137 00:07:54,400 --> 00:07:57,480 Speaker 1: but it's important nonetheless, and I think it's something that 138 00:07:57,520 --> 00:07:59,880 Speaker 1: the dailies, I guys you know it isn't the dailies. 139 00:07:59,880 --> 00:08:03,120 Speaker 1: I guess it's very important, big piece of pop culture. 140 00:08:03,560 --> 00:08:07,360 Speaker 1: And she confirmed that she changed her name to Jennifer 141 00:08:07,440 --> 00:08:13,120 Speaker 1: Lynn Affleck. No, that's wild, right, Like that is what 142 00:08:13,320 --> 00:08:19,800 Speaker 1: an amazing a wild swing. She's now just Jaffleck. She's Jaffleck. 143 00:08:20,600 --> 00:08:24,360 Speaker 1: Oh my god, you're going to get a duck to 144 00:08:24,600 --> 00:08:30,600 Speaker 1: quack jaffa jafflack. Yeah. Wow. Wait, so her middle name 145 00:08:30,640 --> 00:08:33,120 Speaker 1: is Lynn. He said, her name is Lynn. She was 146 00:08:33,160 --> 00:08:36,880 Speaker 1: always Jennifer Lynn Lopez, but now she's Jennifer Lynn Affleck. 147 00:08:36,920 --> 00:08:39,200 Speaker 1: And to me, I was really taken aback. I was like, 148 00:08:39,240 --> 00:08:42,880 Speaker 1: oh damn, she took the took the last name. Yeah, 149 00:08:43,600 --> 00:08:45,959 Speaker 1: like I I don't, I don't have a last name. 150 00:08:46,000 --> 00:08:47,840 Speaker 1: I love it, but I'm like, honey, I'm not taking 151 00:08:47,840 --> 00:08:50,160 Speaker 1: anybody's last name to paper work alone. And I got 152 00:08:50,200 --> 00:08:52,920 Speaker 1: a good thing going with this. Yet, like all knew 153 00:08:53,000 --> 00:08:57,520 Speaker 1: everything cards, no, no, no social Security, You're out of 154 00:08:57,600 --> 00:09:00,800 Speaker 1: your mind, Like what's I mean? I guess she's not 155 00:09:00,840 --> 00:09:02,720 Speaker 1: really dealing with that. She has like a team of 156 00:09:02,760 --> 00:09:05,760 Speaker 1: people that are executing on that for her. But still 157 00:09:05,880 --> 00:09:09,319 Speaker 1: it's like she never became you know, she's been j 158 00:09:09,480 --> 00:09:11,960 Speaker 1: Lo for so long. I mean, she's still will be 159 00:09:12,120 --> 00:09:16,320 Speaker 1: j Lo forever. But I hope, I mean, I hope 160 00:09:16,360 --> 00:09:19,000 Speaker 1: that's a signal that this is enduring, that this isn't 161 00:09:19,040 --> 00:09:21,440 Speaker 1: some flash in the pan thing, that this is there 162 00:09:21,480 --> 00:09:23,800 Speaker 1: like for her, it's like to show yo, like I 163 00:09:23,840 --> 00:09:26,160 Speaker 1: really feel good about this man with the phoenix tattoo 164 00:09:26,200 --> 00:09:29,760 Speaker 1: on his back. I think that I think that they 165 00:09:29,760 --> 00:09:33,760 Speaker 1: are like really legit and love I really do. I 166 00:09:33,800 --> 00:09:38,240 Speaker 1: feel like to come back around twenty years later, like 167 00:09:38,600 --> 00:09:42,680 Speaker 1: there's something there, you know, and they've been and they've 168 00:09:42,679 --> 00:09:44,880 Speaker 1: been through a lot too, like they've had their share 169 00:09:44,920 --> 00:09:48,640 Speaker 1: of like shitty like marriages, So I feel like, yeah, 170 00:09:48,800 --> 00:09:50,800 Speaker 1: it does feel like that thing where it's like like 171 00:09:50,840 --> 00:09:52,640 Speaker 1: in a rom com where they have to go through 172 00:09:52,640 --> 00:09:55,040 Speaker 1: like the other dating scenarios to be like, you know what, 173 00:09:55,200 --> 00:09:57,959 Speaker 1: in the end, it was all about this one me 174 00:09:58,679 --> 00:10:02,679 Speaker 1: and Jaffleck and also the sign of a true like 175 00:10:03,080 --> 00:10:08,960 Speaker 1: icon and media just like genius that like the that 176 00:10:09,200 --> 00:10:12,160 Speaker 1: is the thing that could. I would not have noticed 177 00:10:12,360 --> 00:10:15,000 Speaker 1: this story had it not been for her actually taking 178 00:10:15,040 --> 00:10:17,679 Speaker 1: his name, which was even though it's like the traditional 179 00:10:17,720 --> 00:10:20,800 Speaker 1: thing was the most unexpected thing she could have done, 180 00:10:20,880 --> 00:10:24,000 Speaker 1: Like it seems so strange that she would take his 181 00:10:24,120 --> 00:10:26,640 Speaker 1: last name. She's like a bigger star than he is, 182 00:10:27,360 --> 00:10:29,280 Speaker 1: kind of a lot. I like how we have like 183 00:10:29,360 --> 00:10:33,160 Speaker 1: this game of Thrones, like conception of this marriage, like 184 00:10:33,440 --> 00:10:38,400 Speaker 1: she would sully her name without well, because you know, 185 00:10:38,920 --> 00:10:42,480 Speaker 1: when you become an icon of that status, you are 186 00:10:42,600 --> 00:10:46,520 Speaker 1: your name. Like there are very few people. It's literally 187 00:10:46,559 --> 00:10:52,600 Speaker 1: like share Beyonce j Lo. It's like there are very 188 00:10:52,640 --> 00:10:56,160 Speaker 1: few people that are singular in their name and then 189 00:10:56,280 --> 00:11:01,599 Speaker 1: to like change it, it's it's, you know whatever. I 190 00:11:01,640 --> 00:11:04,880 Speaker 1: guess not many people are like calling her Jennifer Lopez 191 00:11:05,400 --> 00:11:08,800 Speaker 1: necessarily they're calling her j Lo. So like that that 192 00:11:09,040 --> 00:11:11,400 Speaker 1: is still there. That's a good point. Yeah, so in 193 00:11:11,400 --> 00:11:13,720 Speaker 1: a way, maybe it's cowardly. It's like, you know what, 194 00:11:13,840 --> 00:11:18,160 Speaker 1: until you start going by Jennifer Affleck in public, it's meaningless. 195 00:11:18,320 --> 00:11:21,520 Speaker 1: When I saw Jennifer Affleck, I thought it was Jennifer Garner. 196 00:11:21,640 --> 00:11:24,240 Speaker 1: I was like, wait, Jennifer Garner changed her name back then, 197 00:11:24,280 --> 00:11:27,439 Speaker 1: And I don't even I don't even think Jennifer Garner 198 00:11:27,520 --> 00:11:30,040 Speaker 1: changed her name to Jenifer Ack. That'd be wild, if 199 00:11:31,000 --> 00:11:32,679 Speaker 1: that would be wild, if he was going around just 200 00:11:32,800 --> 00:11:38,920 Speaker 1: creating Jennifer Afflecks. Collected collecting Jens. He's like, I will 201 00:11:39,000 --> 00:11:43,360 Speaker 1: turn every Jennifer in the United States to Jennifer Affleck. Hey, Jenny, 202 00:11:43,360 --> 00:11:45,680 Speaker 1: you ever think about changing your name to Jennifer. No, 203 00:11:45,800 --> 00:11:52,080 Speaker 1: it's not asking me that, Ben, But I was gonna 204 00:11:52,120 --> 00:11:54,640 Speaker 1: say something and then I forgot about names and that 205 00:11:54,760 --> 00:11:56,400 Speaker 1: was really dumb. And I don't know why I said. 206 00:11:56,400 --> 00:11:58,319 Speaker 1: I was going to say something and then brand you 207 00:11:58,320 --> 00:12:03,400 Speaker 1: should go by Jennifer Affleck and j Lo Ben Affleck Beyonce. 208 00:12:03,880 --> 00:12:05,280 Speaker 1: I don't know what I was. I don't know what 209 00:12:05,320 --> 00:12:08,479 Speaker 1: I was, but I mean, here's what I will say. 210 00:12:08,600 --> 00:12:13,720 Speaker 1: When Kim Kardashian West changed her name back to Kim Kardashian, 211 00:12:14,400 --> 00:12:19,319 Speaker 1: what a branding nightmare she had built, like KKW Beauty 212 00:12:19,360 --> 00:12:21,800 Speaker 1: and all these other things, and then she has since 213 00:12:21,960 --> 00:12:25,920 Speaker 1: relaunched everything else. But it's kind of like it's hard. 214 00:12:26,040 --> 00:12:30,439 Speaker 1: It's hard to counterpoint. It's like when you know an 215 00:12:30,440 --> 00:12:33,000 Speaker 1: athlete can change their their jersey number and just so 216 00:12:33,240 --> 00:12:36,840 Speaker 1: more jerseys because they're like, yeah, I'm this new number now, 217 00:12:37,080 --> 00:12:39,400 Speaker 1: and people like, fun, well, I gotta buy this version. 218 00:12:39,920 --> 00:12:42,079 Speaker 1: I remembered what I was going to say. When Mariah 219 00:12:42,160 --> 00:12:47,280 Speaker 1: Carey married Nick Cannon and Nick Cannon got Mariah tattooed 220 00:12:47,640 --> 00:12:51,920 Speaker 1: from literally shoulder to shoulder across his back, and she 221 00:12:52,120 --> 00:12:56,960 Speaker 1: got MC tattooed on her wrist for her new initials, 222 00:12:57,040 --> 00:13:01,679 Speaker 1: even though they were the same as her older nasis. Oh, 223 00:13:01,800 --> 00:13:08,160 Speaker 1: I don't know that is perfect, right, Mariah carry delivering, 224 00:13:08,640 --> 00:13:14,000 Speaker 1: delivering full Mariah carry. Oh that's so nice, honey. I 225 00:13:14,440 --> 00:13:18,160 Speaker 1: got one too, But those are your initials, yeah, Mariah Cannon, right, 226 00:13:18,760 --> 00:13:21,640 Speaker 1: And I'd like you to write my vows as well 227 00:13:21,679 --> 00:13:28,600 Speaker 1: as yours. Thank you. I'm getting from that. What is 228 00:13:28,880 --> 00:13:34,440 Speaker 1: what is something you think is under rated? Okay? Maternity leave? 229 00:13:35,240 --> 00:13:38,560 Speaker 1: M hm, m hm. We are trying to have a 230 00:13:38,559 --> 00:13:44,920 Speaker 1: little Zara okay specifically, Yeah, a couple of little zay. 231 00:13:45,760 --> 00:13:49,960 Speaker 1: It has been a journey. Last time I saw y'all, 232 00:13:50,480 --> 00:13:54,360 Speaker 1: I didn't know that I had had two out of 233 00:13:54,640 --> 00:13:58,720 Speaker 1: three miscarriages. Oh my god, I'm sorry that I would 234 00:13:58,720 --> 00:14:02,600 Speaker 1: then come to have thank you. Yeah, that's why I 235 00:14:02,679 --> 00:14:06,640 Speaker 1: was depressed. I didn't know because it just I just 236 00:14:06,720 --> 00:14:11,800 Speaker 1: had like the hormone dump and I I felt horrendous 237 00:14:11,840 --> 00:14:13,320 Speaker 1: and I didn't know what was wrong with me. And 238 00:14:13,360 --> 00:14:15,520 Speaker 1: I just thought I had like a regular periods and 239 00:14:15,559 --> 00:14:18,520 Speaker 1: ship and I was like I don't know what my 240 00:14:18,600 --> 00:14:21,040 Speaker 1: problem is, and I was being so mean to myself 241 00:14:21,080 --> 00:14:23,480 Speaker 1: and then I find this out and I'm like yo, 242 00:14:25,720 --> 00:14:30,200 Speaker 1: hm and uh. And so it's been this journey trying 243 00:14:30,200 --> 00:14:32,360 Speaker 1: to figure it out because I also have thyroid disease 244 00:14:32,400 --> 00:14:37,040 Speaker 1: and that complicates pregnancy, and like my whole life, I 245 00:14:37,080 --> 00:14:41,200 Speaker 1: thought forty year old me could handle everything, and I 246 00:14:41,360 --> 00:14:44,640 Speaker 1: pushed everything into the future basket of forty year old Zara, 247 00:14:46,080 --> 00:14:48,480 Speaker 1: but she'll deal with that. When I was in my thirties, 248 00:14:49,200 --> 00:14:52,720 Speaker 1: ambivalent about corporate job, forty year olds are has got 249 00:14:52,760 --> 00:14:56,080 Speaker 1: this ambivalent about kids. Forty year olds are has got 250 00:14:56,120 --> 00:14:59,560 Speaker 1: this ambivalent about moving to Like forty year olds are 251 00:14:59,600 --> 00:15:06,040 Speaker 1: hast right right right right, Like it gets easier and uh. 252 00:15:06,400 --> 00:15:10,320 Speaker 1: Most I realized most of my putting it off was 253 00:15:10,360 --> 00:15:13,000 Speaker 1: because I never was in a job with real maternity 254 00:15:13,080 --> 00:15:16,440 Speaker 1: leave that I could like rely on to take care 255 00:15:16,480 --> 00:15:19,800 Speaker 1: of myself. You know. It's just like something we take 256 00:15:19,840 --> 00:15:23,320 Speaker 1: for granted, right, And when I was coming on, I 257 00:15:23,360 --> 00:15:26,440 Speaker 1: was like, what's my underrated gonna be? Like how am 258 00:15:26,440 --> 00:15:29,920 Speaker 1: I going to frame this? You know? And I was like, everybody, 259 00:15:29,960 --> 00:15:32,480 Speaker 1: just have kids as soon as you can, don't wait 260 00:15:32,600 --> 00:15:34,760 Speaker 1: figure it out later. Don't leave it to forty year 261 00:15:34,760 --> 00:15:42,160 Speaker 1: old self, no more downtime than high school folks listen 262 00:15:42,200 --> 00:15:47,800 Speaker 1: to summer just planet for a high school summer. Yeah. Yeah, 263 00:15:47,840 --> 00:15:49,680 Speaker 1: And then I was like, no, you know what it 264 00:15:49,800 --> 00:15:52,000 Speaker 1: is in my thirties, I didn't have any kind of 265 00:15:52,040 --> 00:15:56,840 Speaker 1: infrastructural support to make those choices. Yeah, I mean there's 266 00:15:56,840 --> 00:16:00,720 Speaker 1: so yeah, there's so much of they're so many factors 267 00:16:00,760 --> 00:16:02,200 Speaker 1: like that when most people are like, I don't know 268 00:16:02,200 --> 00:16:04,760 Speaker 1: if I'm gonna have kids, Like wait, I've actually been 269 00:16:04,840 --> 00:16:07,440 Speaker 1: too poor to have a kid in a way that 270 00:16:07,560 --> 00:16:10,600 Speaker 1: I think wouldn't make me feel super stressed out about, 271 00:16:10,600 --> 00:16:14,960 Speaker 1: like sustaining another life form. Plus do you have you 272 00:16:14,960 --> 00:16:18,040 Speaker 1: like given your energy to like an employer who was like, 273 00:16:18,240 --> 00:16:21,400 Speaker 1: I will give you the humane things you need. You know, 274 00:16:21,480 --> 00:16:24,240 Speaker 1: it's like a bouncing act of all those things, right, 275 00:16:24,280 --> 00:16:28,800 Speaker 1: And I think we have to know that we're not 276 00:16:29,040 --> 00:16:33,960 Speaker 1: entitled to any kind of alien ship abduction hero rescue. 277 00:16:35,400 --> 00:16:40,600 Speaker 1: We gotta do that mothership rescue at our jobs, gotta 278 00:16:40,640 --> 00:16:45,280 Speaker 1: mothership rescue ourselves. We gotta like we have to turn 279 00:16:45,360 --> 00:16:49,280 Speaker 1: the place, the spaces that were in, we have to 280 00:16:49,280 --> 00:16:53,880 Speaker 1: turn them around. H Yeah, well, I mean, yeah, that's why. 281 00:16:53,880 --> 00:16:56,520 Speaker 1: It's it's always amazing to see again when people always 282 00:16:56,600 --> 00:16:59,760 Speaker 1: the ignorant Americans like we're the number one, you're like not, 283 00:17:00,120 --> 00:17:02,240 Speaker 1: like we're pretty much at the back of the line 284 00:17:02,320 --> 00:17:04,720 Speaker 1: for everything, And like when you look at parental leave, 285 00:17:04,920 --> 00:17:08,560 Speaker 1: it's yeah, you're like, oh, I think, oh that makes sense. 286 00:17:08,600 --> 00:17:10,919 Speaker 1: We live in like the grossest place, but we just 287 00:17:10,960 --> 00:17:14,439 Speaker 1: have the cheapest consumer goods. Oh my god. Some of 288 00:17:14,480 --> 00:17:18,679 Speaker 1: my family moved to London m because they can do that. 289 00:17:19,960 --> 00:17:23,440 Speaker 1: They were like, we're out of here and there mixed race, 290 00:17:23,880 --> 00:17:29,520 Speaker 1: black and Persian, Blursian, and like half of it was 291 00:17:29,600 --> 00:17:34,879 Speaker 1: to settle the question of like private school, public school, 292 00:17:35,200 --> 00:17:38,240 Speaker 1: charter school. Because they wanted the arts for their daughters. 293 00:17:38,480 --> 00:17:42,960 Speaker 1: They moved to London, and it's all included, right, it's 294 00:17:42,960 --> 00:17:46,600 Speaker 1: all included. Like their expenses, their monthly expenses in the 295 00:17:46,600 --> 00:17:51,880 Speaker 1: Bay Area were like four thousand dollars for rent, five 296 00:17:51,920 --> 00:18:00,280 Speaker 1: thousand dollars tuition. Yeah, yeah, so how can we and 297 00:18:00,280 --> 00:18:02,680 Speaker 1: and then battle racism on top of that, like come 298 00:18:02,720 --> 00:18:07,800 Speaker 1: on the flat screen TV. Flat screen TVs are very viable. 299 00:18:08,160 --> 00:18:11,159 Speaker 1: Flat screen you can get that also everywhere. Yeah, you 300 00:18:11,160 --> 00:18:13,439 Speaker 1: can get that everywhere. It's just like when compared to 301 00:18:13,480 --> 00:18:16,919 Speaker 1: previous generations. That's the one thing that is better is 302 00:18:17,640 --> 00:18:20,639 Speaker 1: consumer elect Someone tweeted something it's like, if I forget 303 00:18:20,640 --> 00:18:22,639 Speaker 1: who it was, I just said laughed. But they're like 304 00:18:22,720 --> 00:18:24,600 Speaker 1: it's they're they're like, it's wild to me that you 305 00:18:24,600 --> 00:18:27,800 Speaker 1: can buy a flat screen TV for three dollars, but 306 00:18:27,880 --> 00:18:29,359 Speaker 1: for the same amount of money you will get the 307 00:18:29,480 --> 00:18:33,840 Speaker 1: shittiest dresser or table. Oh yeah yeah, And it's like 308 00:18:33,960 --> 00:18:37,560 Speaker 1: that's so true, like the level of craftsmanship, especially with 309 00:18:37,600 --> 00:18:40,040 Speaker 1: like furniture, because like we're used so much like you know, 310 00:18:40,160 --> 00:18:43,520 Speaker 1: like fiber board and like not real solid wood and 311 00:18:43,520 --> 00:18:46,480 Speaker 1: ship like that just to like have cheap, quick furniture. 312 00:18:47,280 --> 00:18:50,520 Speaker 1: Uh yeah, different, Yeah, you gotta buy from previous generations. 313 00:18:50,920 --> 00:18:52,320 Speaker 1: Oh yeah, that's what I'm like. Yeah, when you look 314 00:18:52,320 --> 00:18:54,720 Speaker 1: at like vintage furniture, like, oh, it's not because I 315 00:18:54,760 --> 00:18:59,159 Speaker 1: like it looks like, look, this ship will fucking go forever. Right. Also, 316 00:18:59,359 --> 00:19:03,280 Speaker 1: I have to say, that's what I call my husband 317 00:19:04,640 --> 00:19:08,959 Speaker 1: furniture furniture. There it is. Yeah, I was noticing behind 318 00:19:09,040 --> 00:19:12,200 Speaker 1: you and then we're on zoom, but behind you, like 319 00:19:12,280 --> 00:19:14,480 Speaker 1: you are using your husband as a code rack. Is 320 00:19:14,480 --> 00:19:17,760 Speaker 1: that is that is he just standing completely still? Is 321 00:19:17,800 --> 00:19:21,400 Speaker 1: that oh my goodness, calmed down, just his skin. Okay, 322 00:19:22,240 --> 00:19:28,520 Speaker 1: got it all right. Let's see if you can work 323 00:19:28,600 --> 00:19:31,800 Speaker 1: snorting into your overrated as well, because your two for 324 00:19:31,920 --> 00:19:34,800 Speaker 1: two so far. We got the snorting, the anti virals, 325 00:19:35,119 --> 00:19:38,320 Speaker 1: we got the coke with the with the back of 326 00:19:38,320 --> 00:19:42,399 Speaker 1: the house. Boys, what is something you think is overrated? Um? 327 00:19:42,480 --> 00:19:51,879 Speaker 1: What's overrated? You know what's ofrated? Doing drugs? Sewing drugs 328 00:19:52,040 --> 00:19:55,960 Speaker 1: is overrated. I just hate hangovers now. Literally. The thing 329 00:19:56,040 --> 00:19:58,960 Speaker 1: that keeps me from doing drugs is like, I don't 330 00:19:58,960 --> 00:20:01,280 Speaker 1: want to be hung over to my Yeah, what kind 331 00:20:01,280 --> 00:20:03,920 Speaker 1: of drug as you doing? What does that mean? Wait? 332 00:20:03,960 --> 00:20:07,200 Speaker 1: More than drinking, like a drinking hangover? Like then like 333 00:20:07,400 --> 00:20:09,200 Speaker 1: you know, I won't say what's ups like maybe things 334 00:20:09,200 --> 00:20:11,440 Speaker 1: that are, you know, sucking up your serotonin levels and 335 00:20:11,560 --> 00:20:14,280 Speaker 1: ship and then the next day you're like, yeah, no, 336 00:20:14,480 --> 00:20:17,520 Speaker 1: because all of them mess up, you know, sucking your serotonin. 337 00:20:17,680 --> 00:20:21,080 Speaker 1: You know, they're all they're all, you know, messing with 338 00:20:21,119 --> 00:20:24,240 Speaker 1: the chemicals in your brain. That's why you know, it's 339 00:20:24,240 --> 00:20:26,520 Speaker 1: just like a little bit of psilocybin goes a long way. 340 00:20:26,520 --> 00:20:30,359 Speaker 1: But you know that's another I get. I get the 341 00:20:30,359 --> 00:20:33,240 Speaker 1: thing with the hangovers because my body cannot process alcohol 342 00:20:33,280 --> 00:20:35,159 Speaker 1: it the same way it does. You know. It's crazy, 343 00:20:35,760 --> 00:20:38,400 Speaker 1: like and I it's weird, like I have a thing 344 00:20:38,400 --> 00:20:40,200 Speaker 1: where for me to even get to the point where 345 00:20:40,240 --> 00:20:43,040 Speaker 1: I'm like feeling buzzed like it typically like I realized 346 00:20:43,040 --> 00:20:45,120 Speaker 1: like three drinks too late that I'm like, oh, you've 347 00:20:45,160 --> 00:20:48,560 Speaker 1: had enough to drink because like yeah, And then the 348 00:20:48,600 --> 00:20:51,480 Speaker 1: next day, like my I remember like the days when 349 00:20:51,520 --> 00:20:55,520 Speaker 1: I would like sleep four hours, stink like a broken 350 00:20:55,720 --> 00:20:58,800 Speaker 1: handle of vodka, and then roll into my like Dodge 351 00:20:58,880 --> 00:21:02,199 Speaker 1: car dealership job, like with sunglasses on, and managed to 352 00:21:02,200 --> 00:21:05,640 Speaker 1: work like ten hours like it was nothing. Yeah, work 353 00:21:05,640 --> 00:21:09,199 Speaker 1: in retail, literally, I my god. I worked Black Friday 354 00:21:09,240 --> 00:21:13,560 Speaker 1: at Bon Hannah Republic the day after Thanksgiving. Right I 355 00:21:13,640 --> 00:21:16,360 Speaker 1: woke up, so I think I was still I'm sure 356 00:21:16,359 --> 00:21:19,600 Speaker 1: it was still drunk from the night before. I showed 357 00:21:19,680 --> 00:21:23,760 Speaker 1: up like three hours late. My boss was so mad, 358 00:21:24,000 --> 00:21:26,560 Speaker 1: but like couldn't do anything about it because the store 359 00:21:26,680 --> 00:21:29,800 Speaker 1: was packed with people. It was just like you just 360 00:21:29,880 --> 00:21:33,840 Speaker 1: do something like pick up clothes and help and all 361 00:21:33,960 --> 00:21:36,760 Speaker 1: day like at work, like every now and then I'd 362 00:21:36,760 --> 00:21:38,479 Speaker 1: get like a whiff of vomit, and I was like, 363 00:21:38,600 --> 00:21:46,160 Speaker 1: where is that coming from home? It was like on 364 00:21:46,200 --> 00:21:52,240 Speaker 1: a specific part of my top. It wasn't like prominent, 365 00:21:52,359 --> 00:21:54,879 Speaker 1: but it was there in present where it was like 366 00:21:54,960 --> 00:21:57,440 Speaker 1: not all the time, but every so often I'd get 367 00:21:57,600 --> 00:22:01,080 Speaker 1: just the right you know, distance from it. So yeah, 368 00:22:01,080 --> 00:22:04,560 Speaker 1: I used to be able to do that. Be fine. 369 00:22:04,720 --> 00:22:07,240 Speaker 1: Like I can't even watch The Rock hungover on T 370 00:22:07,520 --> 00:22:09,960 Speaker 1: n T like I used to like that. I can't 371 00:22:09,960 --> 00:22:12,000 Speaker 1: even that doesn't even work for me. Yeah, I haven't 372 00:22:12,000 --> 00:22:15,600 Speaker 1: watched and I like, I haven't dranken seven years and 373 00:22:16,080 --> 00:22:20,119 Speaker 1: I are coming up on seven years, and I thank you. 374 00:22:20,640 --> 00:22:23,879 Speaker 1: But prior to that, first of all, my intake of 375 00:22:23,920 --> 00:22:27,919 Speaker 1: T n T and just like also television commercials with 376 00:22:28,359 --> 00:22:33,159 Speaker 1: like has gone way plummeted way because I never never like, 377 00:22:35,800 --> 00:22:38,280 Speaker 1: I'm never so hungover that I can't just press the 378 00:22:38,359 --> 00:22:42,240 Speaker 1: fast forward button, you know. But prior prior to that, 379 00:22:42,400 --> 00:22:46,880 Speaker 1: I I felt, I feel like I know what terminal 380 00:22:46,920 --> 00:22:49,879 Speaker 1: illness feels like some of the hangovers that I've that 381 00:22:50,000 --> 00:22:55,960 Speaker 1: I've you know, gone through, just the worst, the worst feeling. Yeah, 382 00:22:56,080 --> 00:22:59,560 Speaker 1: like being so hungover that you can't even enjoy an 383 00:22:59,600 --> 00:23:05,560 Speaker 1: episode of Law and Order SVUS, like where you're anticipating 384 00:23:05,600 --> 00:23:09,119 Speaker 1: like the sound because it hurts you physically. Yeah, like 385 00:23:09,160 --> 00:23:13,200 Speaker 1: it's gonna make me sick when I hear it this time. No, 386 00:23:13,240 --> 00:23:17,479 Speaker 1: not yeah, yeah, I think that's right. Drugs are right. 387 00:23:18,760 --> 00:23:21,560 Speaker 1: All right, let's take a quick break. We'll be back 388 00:23:21,640 --> 00:23:26,040 Speaker 1: and we'll talk about drugs because that's become an area 389 00:23:26,080 --> 00:23:29,639 Speaker 1: of focus, among among other things, with the you know, 390 00:23:29,720 --> 00:23:33,920 Speaker 1: the two candidates we might be facing. Biden is on drugs, 391 00:23:34,040 --> 00:23:40,280 Speaker 1: maybe not not not the right kind, not cops. Trump 392 00:23:40,359 --> 00:23:42,760 Speaker 1: is definitely on drugs, but they seemed to be, I 393 00:23:42,760 --> 00:23:45,640 Speaker 1: don't know, working for him. So we'll take a break, 394 00:23:45,680 --> 00:23:58,280 Speaker 1: we'll be right back, and we're back. And about a 395 00:23:58,320 --> 00:24:04,760 Speaker 1: month ago, San Francisco ousted a progressive district attorney, Chase A. Bootine, 396 00:24:05,240 --> 00:24:07,360 Speaker 1: Chase A. Boodin. I was want to pronounce his name 397 00:24:07,400 --> 00:24:12,320 Speaker 1: like he's like I am suddenly occasion, but yeah, it's 398 00:24:12,320 --> 00:24:14,359 Speaker 1: boot I'm just saying, if you want to get you know, 399 00:24:14,520 --> 00:24:16,439 Speaker 1: if you want to go down the bousquios with it, 400 00:24:16,480 --> 00:24:21,080 Speaker 1: then that's that's sausage they called Boudin. Anyways, I remember 401 00:24:21,280 --> 00:24:25,639 Speaker 1: seeing the the right wing media slash a lot of 402 00:24:25,640 --> 00:24:28,600 Speaker 1: the mainstream media the day after he was ousted in 403 00:24:28,680 --> 00:24:33,760 Speaker 1: a like recall, just like loving it, just loving to 404 00:24:33,800 --> 00:24:36,920 Speaker 1: tell the story of like this guy lost the city. 405 00:24:37,080 --> 00:24:40,000 Speaker 1: He's he's a you know, he's a mess. The city's 406 00:24:40,000 --> 00:24:42,800 Speaker 1: a mess. They've just like crime is out of control. 407 00:24:43,280 --> 00:24:47,760 Speaker 1: And then finding a handful of people who actually were 408 00:24:47,760 --> 00:24:50,119 Speaker 1: looking at the statistics and we're like, actually, was just 409 00:24:50,640 --> 00:24:55,679 Speaker 1: suddenly the mainstream media really started focusing on every crime 410 00:24:55,760 --> 00:24:59,960 Speaker 1: that happened in San Francisco when this progressive district Attorne 411 00:25:00,080 --> 00:25:03,960 Speaker 1: he came into office, and the crime was statistically not 412 00:25:04,160 --> 00:25:07,639 Speaker 1: up in any way beyond what you would expect from 413 00:25:07,680 --> 00:25:12,040 Speaker 1: you know, the economy and the pandemic. But anyways, we 414 00:25:12,119 --> 00:25:15,400 Speaker 1: are now at the afterlife of that of that event 415 00:25:15,720 --> 00:25:20,679 Speaker 1: and the d A who's been brought in less less progressive. 416 00:25:21,320 --> 00:25:23,760 Speaker 1: I guess we could say, yeah, well, I mean, this 417 00:25:23,800 --> 00:25:25,560 Speaker 1: is the thing we've talked about, right, Like there was 418 00:25:25,600 --> 00:25:29,080 Speaker 1: all this hand ringing and pearl clutching, like the crimes 419 00:25:29,119 --> 00:25:32,920 Speaker 1: out of control. But again, criminologists and people whose business 420 00:25:32,960 --> 00:25:34,880 Speaker 1: it is to look at those things are like the 421 00:25:34,960 --> 00:25:38,280 Speaker 1: three years that Boudine served as a d A, they 422 00:25:38,280 --> 00:25:42,320 Speaker 1: were actually declining or stable rates of like many crimes 423 00:25:42,320 --> 00:25:45,000 Speaker 1: like you know, homicide and things like that. But like 424 00:25:45,000 --> 00:25:48,320 Speaker 1: you're saying, the fix was on when like the moneyed, 425 00:25:48,520 --> 00:25:51,720 Speaker 1: you know, property owning people of San Francisco, like, let's 426 00:25:51,720 --> 00:25:53,640 Speaker 1: get this guy out because he's being a little too 427 00:25:53,720 --> 00:25:58,359 Speaker 1: humane with his sense of justice. So they got Once 428 00:25:58,400 --> 00:26:02,000 Speaker 1: he's been out ousted, it's time for the new regime 429 00:26:02,080 --> 00:26:04,000 Speaker 1: to come in. There's a new DA that's come in, 430 00:26:04,080 --> 00:26:06,520 Speaker 1: and now the d a's office has purged all of 431 00:26:06,720 --> 00:26:10,720 Speaker 1: you know, Booty and his old staff, and oh man, 432 00:26:10,920 --> 00:26:14,560 Speaker 1: the alternative that is being proposed isn't just like about 433 00:26:14,680 --> 00:26:18,399 Speaker 1: slightly tweet tweaking, like minimum sentences or things like this. 434 00:26:18,560 --> 00:26:21,080 Speaker 1: They're talking about mass surveillance. Let me just read this 435 00:26:21,160 --> 00:26:23,959 Speaker 1: from the Daily Beast. It says, quote, under the latest 436 00:26:23,960 --> 00:26:26,800 Speaker 1: policy proposed by a newly embolden police department and backed 437 00:26:26,840 --> 00:26:29,480 Speaker 1: by Mayor London Breed in the new DA's office, cops 438 00:26:29,560 --> 00:26:32,280 Speaker 1: would be able to watch residents in real time during 439 00:26:32,320 --> 00:26:36,640 Speaker 1: a quote significant event with public safety concerns as part 440 00:26:36,720 --> 00:26:42,160 Speaker 1: of quote investigations relating to both active misdemeanors as well 441 00:26:42,200 --> 00:26:45,560 Speaker 1: as felonies. The cameras available for access would include those 442 00:26:45,560 --> 00:26:48,320 Speaker 1: with a variety of both low and high level capabilities. 443 00:26:48,359 --> 00:26:52,639 Speaker 1: Everything from commercial to private doorbell cameras could ultimately be 444 00:26:52,760 --> 00:26:58,520 Speaker 1: employed to keep tabs on possible crimes. And that's like 445 00:26:58,680 --> 00:27:02,160 Speaker 1: granting access slick that that's without them coming and being like, hey, 446 00:27:02,160 --> 00:27:06,000 Speaker 1: can we use your doorbell? They know that would be 447 00:27:06,040 --> 00:27:08,240 Speaker 1: like a policy that I think the police department would 448 00:27:08,280 --> 00:27:11,200 Speaker 1: decide if an event is arising to the quote significant 449 00:27:11,200 --> 00:27:14,280 Speaker 1: event with public safety concerns, but like if it's a 450 00:27:14,320 --> 00:27:17,560 Speaker 1: misdemeanor but active public stay Like what are we saying? Look, 451 00:27:17,600 --> 00:27:20,080 Speaker 1: what are the definitions here? And I think what's really 452 00:27:20,119 --> 00:27:21,960 Speaker 1: interesting is this is how quickly you can go from 453 00:27:22,040 --> 00:27:25,800 Speaker 1: up having a progressive d A to full blown surveillance state. 454 00:27:25,920 --> 00:27:29,240 Speaker 1: Right Like supporters of this new policy talk about how 455 00:27:29,560 --> 00:27:33,399 Speaker 1: this will help the cops curb the chaos of drug 456 00:27:33,480 --> 00:27:36,760 Speaker 1: deals and robberies, and that's all bullshit, Like if are 457 00:27:36,800 --> 00:27:40,000 Speaker 1: they are they are they proposing like a crime prevention 458 00:27:40,080 --> 00:27:42,720 Speaker 1: thing where people are monitoring every single camera in real time? 459 00:27:42,840 --> 00:27:45,360 Speaker 1: No if anything they're talking about so they have evidence 460 00:27:45,359 --> 00:27:47,639 Speaker 1: where a lot of this footage after can be accessed 461 00:27:47,680 --> 00:27:51,200 Speaker 1: after the fact. So it's not like spying on everyone's 462 00:27:51,200 --> 00:27:53,480 Speaker 1: fucking ring camera is going to be the new method 463 00:27:53,480 --> 00:27:56,040 Speaker 1: of policing. And I think this is again we're already 464 00:27:56,080 --> 00:27:58,879 Speaker 1: living in a time where our privacy is under tremendous threat, 465 00:27:59,200 --> 00:28:01,480 Speaker 1: and you look at what's happening with Dobb's decision in 466 00:28:01,520 --> 00:28:04,600 Speaker 1: the overturning of Row, Like privacy is a huge issue, 467 00:28:04,920 --> 00:28:08,800 Speaker 1: and we're already seeing how quickly, even in like like 468 00:28:08,800 --> 00:28:12,239 Speaker 1: how the media would say seemingly liberal places can go 469 00:28:12,400 --> 00:28:15,800 Speaker 1: to this full blown like yeah, yeah, let's just um, 470 00:28:16,119 --> 00:28:18,800 Speaker 1: let's just work with people's civil liberties real quick, that 471 00:28:18,800 --> 00:28:21,040 Speaker 1: that might be at the better option here. Well, yeah, 472 00:28:21,080 --> 00:28:23,199 Speaker 1: I mean the city of San Francisco has been in 473 00:28:23,600 --> 00:28:26,159 Speaker 1: really deep due to for a long time with like 474 00:28:26,440 --> 00:28:29,639 Speaker 1: wealth inequality, and like this is like this did not 475 00:28:29,840 --> 00:28:33,919 Speaker 1: happen overnight. Like San Francisco has had like a huge 476 00:28:34,000 --> 00:28:38,120 Speaker 1: problem with the house population and with drugs and with 477 00:28:38,280 --> 00:28:42,080 Speaker 1: of course with robbery, and it's like where the police 478 00:28:42,160 --> 00:28:47,440 Speaker 1: answer is always treating the symptom and not going to 479 00:28:47,480 --> 00:28:50,120 Speaker 1: the source of the problem of like why is there 480 00:28:50,160 --> 00:28:53,800 Speaker 1: not affordable housing and why why are these poor people 481 00:28:54,160 --> 00:28:58,480 Speaker 1: not lacking so much community and connection that they're getting 482 00:28:58,480 --> 00:29:02,680 Speaker 1: addicted to drugs? And you know it's just police is 483 00:29:02,720 --> 00:29:05,040 Speaker 1: always the answer in this country. Well, and I think 484 00:29:05,120 --> 00:29:07,959 Speaker 1: that's the most fucked up part, right because I'm so 485 00:29:08,080 --> 00:29:11,560 Speaker 1: tired of hearing about policies and technology that quote will 486 00:29:11,640 --> 00:29:15,320 Speaker 1: make policing easier. That's like, that's like the biggest red flag, 487 00:29:15,600 --> 00:29:18,240 Speaker 1: Like you could ask for policing in this thing. Said 488 00:29:18,280 --> 00:29:21,160 Speaker 1: that about body camps. They said that about body camps, 489 00:29:21,200 --> 00:29:23,200 Speaker 1: and how has that worked out? Well, yeah, you can 490 00:29:23,200 --> 00:29:26,400 Speaker 1: wait a few months or may maybe oh whoops, I turned, 491 00:29:26,400 --> 00:29:28,080 Speaker 1: I didn't have it on that time. But I think 492 00:29:28,200 --> 00:29:30,400 Speaker 1: what what we do know is that policing in this 493 00:29:30,520 --> 00:29:35,360 Speaker 1: country is unequivocally a failed experiment, and we ignore new 494 00:29:35,360 --> 00:29:38,080 Speaker 1: approaches to community safety at our own peril. Like the 495 00:29:38,080 --> 00:29:41,680 Speaker 1: trajectory we are on will eventually lead to you cannot 496 00:29:41,760 --> 00:29:45,200 Speaker 1: leave your domicile unless it is for authorized activity in 497 00:29:45,280 --> 00:29:49,240 Speaker 1: order to ensure the community's safety type ship. Yeah. Yeah, 498 00:29:49,320 --> 00:29:51,160 Speaker 1: And I would also challenge that to say, like it 499 00:29:51,200 --> 00:29:54,640 Speaker 1: really wasn't an experiment like that policing in this country 500 00:29:54,640 --> 00:29:58,400 Speaker 1: has always been to protect wealth and to protect property. Yeah. 501 00:29:58,440 --> 00:30:02,400 Speaker 1: I use that in a very a charitable way to say, Okay, 502 00:30:02,440 --> 00:30:07,040 Speaker 1: you're done, Like how many times do you need to 503 00:30:07,080 --> 00:30:09,920 Speaker 1: see it absolutely fail in your face to be like 504 00:30:10,200 --> 00:30:14,760 Speaker 1: this is not a good thing or working, and you know, 505 00:30:14,840 --> 00:30:17,520 Speaker 1: like to your point as well, Kirson. It's like we're 506 00:30:17,560 --> 00:30:20,200 Speaker 1: not talking about what the root causes, right, because so 507 00:30:20,280 --> 00:30:23,720 Speaker 1: much crime that that they like the news like the sensationalize. 508 00:30:24,040 --> 00:30:26,800 Speaker 1: There's so much ship that's just survival crime, you know, 509 00:30:26,880 --> 00:30:30,400 Speaker 1: people needing ways to make money to support themselves in 510 00:30:30,400 --> 00:30:33,160 Speaker 1: a family because they have been completely excluded from the 511 00:30:33,160 --> 00:30:37,640 Speaker 1: traditional economy based on you know, class, race, gender identity, 512 00:30:37,680 --> 00:30:40,040 Speaker 1: what have you. And if we're going to actually slow 513 00:30:40,120 --> 00:30:44,440 Speaker 1: quote unquote crime, we need to address the needs of people. 514 00:30:44,480 --> 00:30:48,080 Speaker 1: It's proven over and over again what social safety nets 515 00:30:48,080 --> 00:30:51,320 Speaker 1: can do to help stabilize people's lives. So people commit 516 00:30:51,400 --> 00:30:54,320 Speaker 1: crimes because they are in need much of the time, 517 00:30:54,600 --> 00:30:57,240 Speaker 1: and not because we don't have enough fucking ring cameras 518 00:30:57,280 --> 00:31:02,840 Speaker 1: that police can fucking hack into. Exactly. The police are basically, 519 00:31:03,400 --> 00:31:08,360 Speaker 1: especially in San Francisco, they are private security for like 520 00:31:09,200 --> 00:31:15,480 Speaker 1: real estate millionaires and you know, tech billionaires essentially, and corporations. 521 00:31:16,120 --> 00:31:20,200 Speaker 1: I mean, you know, I mean the the whole like 522 00:31:20,280 --> 00:31:22,440 Speaker 1: CVS thing. I have one of my best friends lives 523 00:31:22,440 --> 00:31:25,600 Speaker 1: in San Francisco and she's like, you literally can't find 524 00:31:25,680 --> 00:31:28,840 Speaker 1: a drug store, Like there are no drugs because CBS 525 00:31:28,960 --> 00:31:31,520 Speaker 1: is deciding as a company to close their stores because 526 00:31:31,560 --> 00:31:38,200 Speaker 1: of the loss of inventory, and then that they were 527 00:31:38,240 --> 00:31:41,320 Speaker 1: pushing because they were actually running at a loss on 528 00:31:41,400 --> 00:31:44,640 Speaker 1: their rentals, like for the for the locations they used 529 00:31:44,680 --> 00:31:48,520 Speaker 1: to rent places, and they had like actually articulated a 530 00:31:48,560 --> 00:31:51,640 Speaker 1: plan to begin phasing out stores because they weren't just 531 00:31:51,640 --> 00:31:54,600 Speaker 1: they weren't bringing in enough revenue to justify the property 532 00:31:54,640 --> 00:31:57,680 Speaker 1: rental cost. And they were able to then loop in 533 00:31:58,160 --> 00:32:01,320 Speaker 1: this the theft ring into like sort of give give 534 00:32:01,360 --> 00:32:03,960 Speaker 1: this whole narrative even more legs to be like, dude, 535 00:32:04,040 --> 00:32:06,760 Speaker 1: CBS can't even operate here anymore when a lot of 536 00:32:06,840 --> 00:32:09,080 Speaker 1: journalists are like hold on. There was an Earnings called 537 00:32:09,080 --> 00:32:11,160 Speaker 1: six months ago where they talked about how this was 538 00:32:11,200 --> 00:32:13,440 Speaker 1: a very bad market for them and they needed to 539 00:32:13,480 --> 00:32:16,920 Speaker 1: rethink their strategy here. So like that's what's like wild too, 540 00:32:16,960 --> 00:32:20,720 Speaker 1: is there's so many seemingly good faith explanations for things 541 00:32:20,720 --> 00:32:22,880 Speaker 1: that are happening, but many of them are still tied 542 00:32:22,960 --> 00:32:26,960 Speaker 1: up in like this, you know, manufacturing consent for this 543 00:32:27,120 --> 00:32:30,320 Speaker 1: new way of keeping people safe by being like, yeah, 544 00:32:30,320 --> 00:32:32,920 Speaker 1: we're gonna tap into cameras just like they did in 545 00:32:32,920 --> 00:32:35,200 Speaker 1: the summer of which I think a lot of people 546 00:32:35,240 --> 00:32:38,600 Speaker 1: don't talk about either, where many activists are saying, dude, 547 00:32:38,600 --> 00:32:42,239 Speaker 1: they're fucking tapping into like, uh cameras when people are 548 00:32:42,280 --> 00:32:45,200 Speaker 1: exercising their right to protest, and that's having a chilling 549 00:32:45,240 --> 00:32:47,840 Speaker 1: effect on our ability to organize things. So there's like 550 00:32:47,920 --> 00:32:51,840 Speaker 1: so much ship that, so much multi layer shit happening 551 00:32:51,880 --> 00:32:53,920 Speaker 1: with like and they can just take one sort of 552 00:32:53,960 --> 00:32:57,120 Speaker 1: really sensational bit of video and take us to this point, 553 00:32:57,120 --> 00:32:59,520 Speaker 1: I feel like, and if you want to see the like, 554 00:32:59,600 --> 00:33:03,280 Speaker 1: there's a conspiracy at work with the mainstream media, or 555 00:33:03,320 --> 00:33:06,400 Speaker 1: at least the mainstream media is heavily influenced by wealth, 556 00:33:06,600 --> 00:33:10,080 Speaker 1: and like, look look at that story about CBS and 557 00:33:10,200 --> 00:33:13,560 Speaker 1: like why they're closing their doors and the real the 558 00:33:13,600 --> 00:33:17,240 Speaker 1: real reason is that the rent is too high, that 559 00:33:17,360 --> 00:33:20,640 Speaker 1: every everything costs too much. Prices are out of control, 560 00:33:21,040 --> 00:33:24,640 Speaker 1: particularly in you know, with with regards to rent in 561 00:33:24,680 --> 00:33:27,400 Speaker 1: San Francisco, Jesus Christ, and that like that is a 562 00:33:27,600 --> 00:33:31,200 Speaker 1: that is a story that everyone can identify with. That 563 00:33:31,320 --> 00:33:34,000 Speaker 1: is a story that needs to be told that people 564 00:33:34,000 --> 00:33:36,920 Speaker 1: are telling in movies and people are telling. But in 565 00:33:36,960 --> 00:33:41,640 Speaker 1: the mainstream media they chose to take, like ignore the 566 00:33:41,680 --> 00:33:45,000 Speaker 1: fact that CBS couldn't even pay their fucking rent and 567 00:33:45,080 --> 00:33:50,600 Speaker 1: go with it's these handful of unhoused people shoplifting and 568 00:33:50,760 --> 00:33:52,960 Speaker 1: like they they've made it so they can't even like 569 00:33:53,040 --> 00:33:57,200 Speaker 1: keep shit on the shelf anymore. Which again the fact 570 00:33:57,400 --> 00:34:01,400 Speaker 1: like there is brutal any quality in San Francisco. It's 571 00:34:01,400 --> 00:34:04,400 Speaker 1: not like those crimes were we're not happening. But the 572 00:34:04,440 --> 00:34:07,280 Speaker 1: fact that the the runaway story that became like a 573 00:34:07,480 --> 00:34:13,040 Speaker 1: national media you know, phenomenon, became about shoplifting instead of 574 00:34:13,640 --> 00:34:17,239 Speaker 1: like a story that is like desperately crying out to 575 00:34:17,280 --> 00:34:21,320 Speaker 1: be told. As a re client who's like really smart, 576 00:34:21,440 --> 00:34:24,520 Speaker 1: for usually like half of his articles he like I 577 00:34:24,560 --> 00:34:27,040 Speaker 1: think he started with Vox and now he's at the 578 00:34:27,080 --> 00:34:30,239 Speaker 1: New York Times, and he's like he almost got there 579 00:34:30,360 --> 00:34:33,320 Speaker 1: in this article where he's talking about how like prices 580 00:34:33,520 --> 00:34:37,680 Speaker 1: are the main story in the United States, the fact 581 00:34:37,719 --> 00:34:41,399 Speaker 1: that prices are completely out of control and that there 582 00:34:41,400 --> 00:34:46,800 Speaker 1: are things that the government could be doing two hem 583 00:34:46,840 --> 00:34:49,479 Speaker 1: them in and make it to the corporations aren't able 584 00:34:49,520 --> 00:34:52,040 Speaker 1: to just raise prices as much as they want, or 585 00:34:52,280 --> 00:34:55,120 Speaker 1: you know, landlords aren't able to and they're choosing not 586 00:34:55,280 --> 00:34:58,680 Speaker 1: to do that. And then he you know, proposed a 587 00:34:58,680 --> 00:35:01,080 Speaker 1: bunch of like means tested it at the end, but 588 00:35:01,560 --> 00:35:04,040 Speaker 1: he was almost there. It was almost like, yeah, so 589 00:35:04,160 --> 00:35:06,640 Speaker 1: what what do we do about that? We need to 590 00:35:06,840 --> 00:35:10,840 Speaker 1: have a government. Maybe that isn't completely and of the 591 00:35:10,880 --> 00:35:17,680 Speaker 1: time beholding too corporations and wealth only. But yeah, yeah, 592 00:35:18,040 --> 00:35:20,719 Speaker 1: it's wild. It's it's truly criminal. I mean, we just 593 00:35:20,760 --> 00:35:22,680 Speaker 1: had an article come out from the New York Times 594 00:35:22,719 --> 00:35:25,080 Speaker 1: that the average New York City runt is now five 595 00:35:25,280 --> 00:35:31,560 Speaker 1: thousand dollars. And that's I mean, it's laughable. It's just 596 00:35:32,239 --> 00:35:35,400 Speaker 1: it's it's truly mind boggling. I mean, we have like 597 00:35:35,400 --> 00:35:38,880 Speaker 1: a housing crisis. People are waiting in lines around the 598 00:35:38,920 --> 00:35:42,320 Speaker 1: block just to see a shitty apartment on the Lower 599 00:35:42,360 --> 00:35:47,040 Speaker 1: East Side because it's two thousand dollars. And even that 600 00:35:47,200 --> 00:35:52,000 Speaker 1: is so high for the average persons. Yeah, and I 601 00:35:52,040 --> 00:35:56,320 Speaker 1: think and again it's because America hate, like the media 602 00:35:56,360 --> 00:35:59,840 Speaker 1: hates to really like examine what the real issues that 603 00:36:00,000 --> 00:36:03,120 Speaker 1: are like harming this country are. We're not talking about 604 00:36:03,160 --> 00:36:05,720 Speaker 1: in a way of like, okay, the average, the fucking 605 00:36:05,760 --> 00:36:09,319 Speaker 1: average is five thousand. Like most people are raised to 606 00:36:09,400 --> 00:36:11,400 Speaker 1: be like, hey, you don't want to spend you know, 607 00:36:11,480 --> 00:36:14,280 Speaker 1: more than a third of your monthly income on rent. 608 00:36:14,480 --> 00:36:17,520 Speaker 1: So if this person, this magical person who can afford 609 00:36:17,560 --> 00:36:20,520 Speaker 1: five thousand dollars a month or a month rent. They're 610 00:36:20,520 --> 00:36:24,520 Speaker 1: making what fifteen thousand dollars? You know? Never who is 611 00:36:24,560 --> 00:36:29,880 Speaker 1: this person? Grand a year take home? Right? That's what 612 00:36:30,160 --> 00:36:33,560 Speaker 1: that's you? Like? So where where is this? Because most 613 00:36:33,600 --> 00:36:36,480 Speaker 1: people who would hear this right now be like who? Why? 614 00:36:36,520 --> 00:36:39,000 Speaker 1: And how many people like this are there there? I mean, 615 00:36:39,040 --> 00:36:41,400 Speaker 1: there are plenty of people who can afford that, but 616 00:36:41,520 --> 00:36:43,880 Speaker 1: that's not what the average person can afford. And I 617 00:36:43,880 --> 00:36:46,600 Speaker 1: think when we do these things and just scapegoat the 618 00:36:46,680 --> 00:36:50,080 Speaker 1: poor for being like all this chaos, man, CBS is 619 00:36:50,120 --> 00:36:52,560 Speaker 1: fucking up because these poor people are stealing things rather 620 00:36:52,600 --> 00:36:56,040 Speaker 1: than shit is so expensive and people are so desperate. 621 00:36:56,080 --> 00:36:59,359 Speaker 1: Look at what it's doing to society right now. Look 622 00:36:59,360 --> 00:37:02,840 Speaker 1: at that. But it's easier to just say, oh god, 623 00:37:02,960 --> 00:37:05,520 Speaker 1: this this d a man. He's a real he's a 624 00:37:05,560 --> 00:37:09,040 Speaker 1: real loser hunk because everything's out of control because no 625 00:37:09,080 --> 00:37:19,120 Speaker 1: one can afford anything, right, yeah, yikes, yikes right, and 626 00:37:19,880 --> 00:37:23,480 Speaker 1: uh this is our yikes. I just I'm trying to 627 00:37:23,480 --> 00:37:26,040 Speaker 1: figure out what your salary would have to be to 628 00:37:26,760 --> 00:37:31,640 Speaker 1: pool in after taxes, and I just did two hundred 629 00:37:31,640 --> 00:37:35,960 Speaker 1: and fifty thousand dollars and that brings you two hundred 630 00:37:36,000 --> 00:37:38,239 Speaker 1: and sixty two thousand, So you wouldn't even if you 631 00:37:38,280 --> 00:37:40,320 Speaker 1: made two hundred fifty thousand dollars a year, you wouldn't 632 00:37:40,320 --> 00:37:43,439 Speaker 1: even be able to afford rent in average rent. Yeah, 633 00:37:43,440 --> 00:37:47,320 Speaker 1: if you made a quarter of a million dollars a year, 634 00:37:47,680 --> 00:37:51,040 Speaker 1: you could not live comfortably in New York City, right 635 00:37:51,600 --> 00:37:53,919 Speaker 1: even if you're if you're living by that rule, because 636 00:37:53,920 --> 00:37:56,319 Speaker 1: we know most people are spending sixty of there and 637 00:37:56,400 --> 00:37:59,800 Speaker 1: come on on rent, you know what I mean? Absolutely, 638 00:38:00,440 --> 00:38:02,239 Speaker 1: look way more than a third of my income on 639 00:38:02,280 --> 00:38:06,359 Speaker 1: my rent. Everyone is so strapped. And but again, when 640 00:38:06,480 --> 00:38:08,440 Speaker 1: the people who report the news are people who are 641 00:38:08,440 --> 00:38:11,000 Speaker 1: not strapped and have never been strapped and will never 642 00:38:11,120 --> 00:38:14,920 Speaker 1: be strapped. For cash, you have to be making a 643 00:38:15,280 --> 00:38:18,319 Speaker 1: round two nine thousand, almost three hundred thousand dollars a 644 00:38:18,400 --> 00:38:22,120 Speaker 1: year to afford rent in uh, to afford average rent, 645 00:38:22,360 --> 00:38:25,520 Speaker 1: which is not how things work. But that's I mean, 646 00:38:25,560 --> 00:38:27,719 Speaker 1: that's what was cool about this as a client thing. 647 00:38:27,719 --> 00:38:29,600 Speaker 1: It was like, holy sh it, did did they just 648 00:38:29,640 --> 00:38:32,600 Speaker 1: find out about this in the New York Times? But yeah, 649 00:38:32,600 --> 00:38:35,640 Speaker 1: he was just talking about like how the medium home 650 00:38:35,680 --> 00:38:38,360 Speaker 1: price in nineteen fifty was two point two times. The 651 00:38:38,400 --> 00:38:42,920 Speaker 1: average annual income by twenty was six times. Childcare costs 652 00:38:42,960 --> 00:38:47,200 Speaker 1: grew by about two thousand percent between seven nineteen seventy 653 00:38:47,280 --> 00:38:50,520 Speaker 1: two and two thousand and seven, family premiums for employer 654 00:38:50,560 --> 00:38:57,600 Speaker 1: based health insurance jumped by percent just between eleven deductibles 655 00:38:57,680 --> 00:39:00,759 Speaker 1: out of pocket costs went up seventy per cent, Like 656 00:39:00,800 --> 00:39:04,359 Speaker 1: that doesn't that that's in ten years and it's like 657 00:39:04,560 --> 00:39:08,480 Speaker 1: you the amount we're paying on for health insurance let 658 00:39:08,480 --> 00:39:11,880 Speaker 1: alone like companies is went up sevent and this is 659 00:39:11,920 --> 00:39:17,000 Speaker 1: when we're supposed to be like getting state sponsored healthcare. 660 00:39:17,560 --> 00:39:20,840 Speaker 1: And then between nineteen eight and two thousand eighteen, the 661 00:39:20,840 --> 00:39:24,000 Speaker 1: average costs an undergraduate education rose by a hundred and 662 00:39:24,080 --> 00:39:29,600 Speaker 1: sixty And so everybody is in debt, is in massive debt, 663 00:39:29,760 --> 00:39:31,840 Speaker 1: and like yeah, like what we were just talking about 664 00:39:31,840 --> 00:39:34,239 Speaker 1: with being able to pay your rent, Like everybody is 665 00:39:34,239 --> 00:39:38,319 Speaker 1: in debt, and they are like, well why is why 666 00:39:38,360 --> 00:39:41,640 Speaker 1: is their crime? Why why are people unhappy with the 667 00:39:41,680 --> 00:39:45,399 Speaker 1: Democratic Party? And it's like, well, I don't know, man 668 00:39:46,960 --> 00:39:51,800 Speaker 1: and um specifically on the childcare costs, I mean it's 669 00:39:52,600 --> 00:39:55,360 Speaker 1: my my brother has two young children and one is 670 00:39:55,400 --> 00:39:58,200 Speaker 1: too and one is like six months and they had 671 00:39:58,239 --> 00:40:00,640 Speaker 1: a dual income, both he and his wife for working 672 00:40:00,680 --> 00:40:03,520 Speaker 1: and you know, doing pretty well. Like, you know, they 673 00:40:04,000 --> 00:40:06,800 Speaker 1: had a good upper middle class income for a family 674 00:40:07,000 --> 00:40:11,680 Speaker 1: of four. And just to consider her going back to 675 00:40:11,760 --> 00:40:15,319 Speaker 1: work and then having to put them in daycare, they 676 00:40:15,320 --> 00:40:20,400 Speaker 1: were looking at four thousand dollars a month in daycare costs. 677 00:40:21,560 --> 00:40:27,120 Speaker 1: So essentially, like for most people, that's like you would 678 00:40:27,239 --> 00:40:30,279 Speaker 1: only be working to pay the daycare. So how does 679 00:40:30,320 --> 00:40:34,799 Speaker 1: it make sense to work? Like, it's like that makes 680 00:40:34,840 --> 00:40:37,560 Speaker 1: sense if she's going back, I mean that offsets assuming 681 00:40:37,600 --> 00:40:40,200 Speaker 1: she's making you know, one one to one point five 682 00:40:40,239 --> 00:40:45,359 Speaker 1: million dollars a year. That's yeah, yeah, as a as 683 00:40:45,400 --> 00:40:48,920 Speaker 1: a special education teacher. That's about the average of what 684 00:40:50,200 --> 00:40:54,280 Speaker 1: could a special education teacher make Michael one one point 685 00:40:54,360 --> 00:40:59,640 Speaker 1: five million dollars a year? Yeah, holy moley. So it's like, 686 00:40:59,680 --> 00:41:03,160 Speaker 1: how do we, god, like, how do we circle that square? 687 00:41:03,600 --> 00:41:07,799 Speaker 1: My goodness? Well, And I think that's what we at 688 00:41:07,800 --> 00:41:11,440 Speaker 1: every at every turn, Like we people who are in 689 00:41:11,480 --> 00:41:14,040 Speaker 1: these places positions of power, and it's hard for them 690 00:41:14,040 --> 00:41:17,080 Speaker 1: to abandon the status quo. But like the previous ways 691 00:41:17,120 --> 00:41:20,400 Speaker 1: of thinking are not applicable, and in fact they're complete, 692 00:41:20,400 --> 00:41:23,560 Speaker 1: they're harmful, at this point, and the challenges to have 693 00:41:23,719 --> 00:41:26,799 Speaker 1: the imagination to do things differently because we're not in 694 00:41:26,840 --> 00:41:30,440 Speaker 1: the same fucking realities that we are. And and I 695 00:41:30,440 --> 00:41:34,920 Speaker 1: think that's what's my favorite philosopher said, think different, Steve Job, 696 00:41:35,000 --> 00:41:42,200 Speaker 1: have you work. It's the only philosophy we teach our 697 00:41:42,360 --> 00:41:50,000 Speaker 1: kids is you know, for breakfast and add copy, add 698 00:41:50,000 --> 00:41:56,040 Speaker 1: copy for lunch exactly, hustle for dinner. Yeah, and you hustle, 699 00:41:56,080 --> 00:42:01,200 Speaker 1: you get out there, you get on your grind sir, Yes, 700 00:42:01,719 --> 00:42:04,680 Speaker 1: I love it, super healthy. All right, let's take a 701 00:42:04,719 --> 00:42:17,080 Speaker 1: quick break. We'll be right back, and we're back and 702 00:42:18,640 --> 00:42:22,880 Speaker 1: Tunic Gate it's back. It's the story that you know, 703 00:42:23,000 --> 00:42:25,120 Speaker 1: I think, Miles you said, it's the story that like 704 00:42:25,640 --> 00:42:30,000 Speaker 1: is number one on your list of just like ballad initiatives, 705 00:42:30,040 --> 00:42:33,000 Speaker 1: like things that you're concerned about. Yes, like well, and 706 00:42:33,040 --> 00:42:35,800 Speaker 1: also the thing that most frequently is like gang tax 707 00:42:35,880 --> 00:42:39,440 Speaker 1: men on Twitter, Instagram, anything is happening with subway tuna. 708 00:42:39,520 --> 00:42:42,359 Speaker 1: They either I have my supporters who are like they 709 00:42:42,440 --> 00:42:45,719 Speaker 1: can't hold us down or have feel been like is 710 00:42:45,760 --> 00:42:51,759 Speaker 1: this your king? Oh yeah, it's so good until the 711 00:42:51,840 --> 00:42:57,239 Speaker 1: fucking Finns come off. Okay, oh wow. I've never had 712 00:42:57,480 --> 00:43:02,719 Speaker 1: an Okay, I've always look I'm I'm a just shoveling 713 00:43:02,719 --> 00:43:05,120 Speaker 1: it into my house, my mouth with my hands. You 714 00:43:05,200 --> 00:43:08,879 Speaker 1: just say no bread exactly, I'm like, yo, just give 715 00:43:08,920 --> 00:43:13,719 Speaker 1: me the ba take a little sonship on the side. 716 00:43:14,640 --> 00:43:17,640 Speaker 1: Give a little French onion sonship. Yeah. Perfect, and a 717 00:43:17,760 --> 00:43:21,239 Speaker 1: moose bush is what we call its delicious. But yeah, 718 00:43:21,239 --> 00:43:23,400 Speaker 1: people know I love the subway tune. I love all. 719 00:43:23,640 --> 00:43:26,320 Speaker 1: I love tuna sandwiches. I grew up eating tuna sandwiches 720 00:43:26,360 --> 00:43:29,480 Speaker 1: as a kid. When I had like that little moment 721 00:43:29,520 --> 00:43:31,200 Speaker 1: where I had a little bit of pocket money as 722 00:43:31,200 --> 00:43:33,239 Speaker 1: like a preteen and like on my bike and like 723 00:43:33,280 --> 00:43:35,720 Speaker 1: you could go to subway. That was like me feeling 724 00:43:35,719 --> 00:43:37,920 Speaker 1: like an adult. I'm like, I have experience with tuna 725 00:43:37,960 --> 00:43:39,960 Speaker 1: sandwich and I will now I will now order this 726 00:43:40,040 --> 00:43:42,560 Speaker 1: rather mean, like mom, what do I like here? So 727 00:43:42,920 --> 00:43:45,400 Speaker 1: I have like this, this connection with the subway tuna. 728 00:43:45,520 --> 00:43:49,040 Speaker 1: Now people in a briefcase. I'm just picturing little Miles 729 00:43:49,120 --> 00:43:53,719 Speaker 1: riding his bi carrying a briefcase just dripping out of 730 00:43:53,760 --> 00:44:00,400 Speaker 1: the reef all like wet mayo dripsa man. Remember the 731 00:44:00,400 --> 00:44:03,080 Speaker 1: old wrapping paper that they used to have, like old 732 00:44:03,200 --> 00:44:08,000 Speaker 1: Victorian drawings of like the early New York Subway from 733 00:44:08,000 --> 00:44:10,080 Speaker 1: our real heads when they were doing the U gouge 734 00:44:10,239 --> 00:44:12,760 Speaker 1: and cutting the U shaped like hole out the top 735 00:44:12,840 --> 00:44:15,319 Speaker 1: and they not down the time. I forgot about that. 736 00:44:15,640 --> 00:44:18,560 Speaker 1: I forgot about that. What the you gouge? Okay, so 737 00:44:18,600 --> 00:44:20,719 Speaker 1: if you were if you look now, people becut. They 738 00:44:20,760 --> 00:44:22,960 Speaker 1: take the bread and they just slice it down the side. 739 00:44:23,000 --> 00:44:26,440 Speaker 1: And people back in the day they used to cut around. 740 00:44:26,480 --> 00:44:28,800 Speaker 1: They would like lay it like this and cut around 741 00:44:28,800 --> 00:44:30,920 Speaker 1: the tops so it was gouged out in a U 742 00:44:31,040 --> 00:44:37,359 Speaker 1: shape like a giant bread. Forgot remember the little top 743 00:44:37,480 --> 00:44:39,440 Speaker 1: if they fun, if they weren't a real artist with 744 00:44:39,520 --> 00:44:42,200 Speaker 1: it that you the top would be like mad thing. 745 00:44:43,239 --> 00:44:46,360 Speaker 1: It would just like be soaked in like two seconds. Anyway, 746 00:44:46,560 --> 00:44:51,440 Speaker 1: all that to say is, yeah, the gouge, those knives 747 00:44:51,560 --> 00:44:57,920 Speaker 1: really well. It was like pumpkin carving. This lawsuit hit 748 00:44:57,960 --> 00:45:00,160 Speaker 1: like like about a year ago, like where these we're 749 00:45:00,200 --> 00:45:04,520 Speaker 1: alleging subway is fucking lying. There is no tuna. We 750 00:45:04,520 --> 00:45:06,640 Speaker 1: took it to get DNA tested. They said, this is 751 00:45:06,719 --> 00:45:09,080 Speaker 1: what the funk is, this is what the lab results said. 752 00:45:09,520 --> 00:45:12,360 Speaker 1: And the story came back in the news because the 753 00:45:12,480 --> 00:45:14,640 Speaker 1: judge basically I think Subway was like, hey, man, like 754 00:45:14,760 --> 00:45:16,719 Speaker 1: let's just call it a day. Well, we don't need 755 00:45:16,760 --> 00:45:18,719 Speaker 1: to let this trial move forward. The judges like, no, 756 00:45:19,160 --> 00:45:21,400 Speaker 1: like we will hear more in the trial of is 757 00:45:21,480 --> 00:45:24,120 Speaker 1: this uh fake tuna or not? For the most headlines 758 00:45:24,160 --> 00:45:30,400 Speaker 1: I've gotten in years, the most the most important court 759 00:45:30,440 --> 00:45:33,440 Speaker 1: case I'll ever have, right exactly, like, I'll allow it. 760 00:45:33,719 --> 00:45:36,279 Speaker 1: So the takeout shout out of the takeout there they're 761 00:45:36,280 --> 00:45:38,359 Speaker 1: looking at sort of just generally they're like, you know, 762 00:45:38,520 --> 00:45:40,799 Speaker 1: they're they're giving us some insight into how this sort 763 00:45:40,840 --> 00:45:44,440 Speaker 1: of analysis or like why the murky tuna thing even occurs. 764 00:45:44,719 --> 00:45:47,279 Speaker 1: So the way they talk about is Subway says that 765 00:45:47,320 --> 00:45:49,719 Speaker 1: they are they got like most of their tuna skip 766 00:45:49,840 --> 00:45:52,480 Speaker 1: jack tuna and it's a d percent sustainable, etcetera, etcetera. 767 00:45:52,960 --> 00:45:55,360 Speaker 1: The takeout talks about how like they're the most sustainable 768 00:45:55,440 --> 00:45:57,960 Speaker 1: version of catching tuna is like poll in line, like 769 00:45:58,080 --> 00:46:02,359 Speaker 1: individual fucking fisher in catching one motherfucking fish at a time, 770 00:46:02,400 --> 00:46:05,640 Speaker 1: And they're like, that's fucking tuna. But a lot of places, 771 00:46:05,880 --> 00:46:08,480 Speaker 1: most places don't do it like that. They use another 772 00:46:08,520 --> 00:46:11,680 Speaker 1: process where they'll like surround a school of targeted fish 773 00:46:11,719 --> 00:46:14,520 Speaker 1: that they're trying to harvest and just drop a big 774 00:46:14,520 --> 00:46:17,080 Speaker 1: gas net around them and just scoop out a bunch 775 00:46:17,080 --> 00:46:22,560 Speaker 1: of the fucking ocean at once. And yeah, in this 776 00:46:22,600 --> 00:46:26,640 Speaker 1: process though, this leads to other kinds of seafood being 777 00:46:26,680 --> 00:46:29,959 Speaker 1: in the hall, like sharks and turtles and like other 778 00:46:30,000 --> 00:46:32,759 Speaker 1: ship and they said that could that could that could 779 00:46:32,760 --> 00:46:36,120 Speaker 1: apparently be leading to this process as to why, like 780 00:46:36,120 --> 00:46:39,719 Speaker 1: like it's not saying that it's tuna, and this is 781 00:46:39,760 --> 00:46:43,919 Speaker 1: apparently an issue that goes beyond subway, like a lot 782 00:46:44,080 --> 00:46:47,760 Speaker 1: of tuna is mislabeled. Apparently I did not know this. Okay, 783 00:46:47,760 --> 00:46:51,120 Speaker 1: wait now we just brought up turtles. This is making 784 00:46:51,160 --> 00:46:55,920 Speaker 1: me feel really crazy. Yeah, this does not make it better, Miles, 785 00:46:56,000 --> 00:46:59,200 Speaker 1: I don't know you brought this fourth as as evidence 786 00:46:59,680 --> 00:47:02,080 Speaker 1: of like so this is this explains it? We eat 787 00:47:02,080 --> 00:47:05,279 Speaker 1: turtles in Japan, you know? Was this supposed to make 788 00:47:05,360 --> 00:47:08,759 Speaker 1: us feel better because we're like, oh, sure, it's just 789 00:47:08,880 --> 00:47:13,919 Speaker 1: other animals. It's just rock, like oh, like yoga mat 790 00:47:14,120 --> 00:47:16,719 Speaker 1: or whatever they put in wonder bread. Some people are 791 00:47:16,719 --> 00:47:19,680 Speaker 1: saying there's pork in it, and they're like, no, there's 792 00:47:19,719 --> 00:47:22,920 Speaker 1: not pork in this. It's if anything, it's a bunch 793 00:47:22,960 --> 00:47:25,440 Speaker 1: of ground up turtle and sharks. You don't know what's 794 00:47:25,480 --> 00:47:28,839 Speaker 1: in the middle of that that school of tuna. You know, 795 00:47:28,960 --> 00:47:31,640 Speaker 1: there could be are there could be a pig in there. Frankly, 796 00:47:31,920 --> 00:47:34,399 Speaker 1: who knows what the fish are eating anyway. They could 797 00:47:34,400 --> 00:47:37,680 Speaker 1: be eating some fucking soap rosta down in the ocean 798 00:47:37,840 --> 00:47:40,320 Speaker 1: for all we know, and then a little bit of 799 00:47:40,400 --> 00:47:44,319 Speaker 1: pig is inside of them. Everything is so they could 800 00:47:44,320 --> 00:47:47,040 Speaker 1: literally be eating yoga mats too that are just washed 801 00:47:47,040 --> 00:47:49,480 Speaker 1: out to see and they're like, no, it's the only 802 00:47:49,480 --> 00:47:51,320 Speaker 1: reason it's coming up is yoga mat because the amount 803 00:47:51,320 --> 00:47:56,040 Speaker 1: of sucking microplastics that are in everything now and burger dogs, 804 00:47:56,239 --> 00:48:01,160 Speaker 1: we have shark tuna, tuna turtle. Yeah, exact episode is 805 00:48:01,200 --> 00:48:05,040 Speaker 1: not making anyone hungry. All I'm saying that like I 806 00:48:05,040 --> 00:48:07,600 Speaker 1: didn't bring this up to say, look to eat their 807 00:48:07,640 --> 00:48:10,719 Speaker 1: own Like I said, I don't. Look. Are you going 808 00:48:10,760 --> 00:48:16,080 Speaker 1: to keep eating subway tuna? Be real? Yes, It's taken 809 00:48:16,120 --> 00:48:18,520 Speaker 1: a lot for Miles not to respond to that, like uh, 810 00:48:19,200 --> 00:48:22,319 Speaker 1: Samuel Jackson and a time to kill and say hell yeah, 811 00:48:22,320 --> 00:48:26,399 Speaker 1: so I'm gonna keep eating it. Yeah, they deserve to die. 812 00:48:29,080 --> 00:48:31,520 Speaker 1: Do you remember in like the nineties when everyone was 813 00:48:31,560 --> 00:48:34,759 Speaker 1: like don't eat Wendy's chili. There are there are like 814 00:48:35,200 --> 00:48:43,960 Speaker 1: fingers that remember lower around like people finding band aids 815 00:48:44,000 --> 00:48:47,680 Speaker 1: and fingers and all of this ship and Wendy's chili. 816 00:48:48,040 --> 00:48:49,799 Speaker 1: I just I want to point out to people. So 817 00:48:49,880 --> 00:48:52,280 Speaker 1: if you might be like, you'll never catch me slip 818 00:48:52,320 --> 00:48:55,520 Speaker 1: and need no fucking subway tuna, well guess what, it 819 00:48:55,560 --> 00:48:59,600 Speaker 1: ain't just canned tuna. Okay, In the Atlantic, about like 820 00:48:59,680 --> 00:49:02,160 Speaker 1: nine years ago, they were they were did a story 821 00:49:02,200 --> 00:49:05,800 Speaker 1: about how this nonprofit group had conducted like genetic tests 822 00:49:05,800 --> 00:49:08,160 Speaker 1: on over like twelve hundred samples of fish in the 823 00:49:08,280 --> 00:49:11,520 Speaker 1: US and they found that quote, fifty nine percent of 824 00:49:11,560 --> 00:49:14,480 Speaker 1: the fish sold in restaurants and stores with the labeled 825 00:49:14,600 --> 00:49:20,920 Speaker 1: tuna was not tuna. So that's including sushi. Yes, they 826 00:49:20,960 --> 00:49:24,400 Speaker 1: found seventy four percent of sushi venues mislabeled items as 827 00:49:24,480 --> 00:49:27,440 Speaker 1: quote tuna when they were knocked. Are they just dying 828 00:49:27,440 --> 00:49:29,800 Speaker 1: it pink? What are they doing? I don't know. I 829 00:49:29,840 --> 00:49:31,759 Speaker 1: don't know what the folks going on there, Like I 830 00:49:31,800 --> 00:49:34,160 Speaker 1: feel like I think we all just need to become vegan, 831 00:49:34,440 --> 00:49:36,440 Speaker 1: I think, is what's going on at the end of 832 00:49:36,480 --> 00:49:39,000 Speaker 1: the day. Oh yeah, I mean already I don't I 833 00:49:39,000 --> 00:49:41,680 Speaker 1: don't do beef burgers anymore. I have Nathan's and impossible. 834 00:49:41,680 --> 00:49:43,879 Speaker 1: It's like what I do from my girls. Now that's 835 00:49:43,920 --> 00:49:46,479 Speaker 1: my first step towards getting away from that ship. But like, yeah, 836 00:49:46,480 --> 00:49:51,320 Speaker 1: when you're like tunas not tuna. When tuna is not tuna, 837 00:49:51,520 --> 00:49:55,360 Speaker 1: the world is outside down that that's the biggest takeaway 838 00:49:55,400 --> 00:49:59,080 Speaker 1: from today exactly. Now Mr Kessler's got something to right 839 00:49:59,120 --> 00:50:02,799 Speaker 1: in the Washington p He's like, one more fucking thing, 840 00:50:03,360 --> 00:50:06,759 Speaker 1: Tuna is not tuna. Alarm bells are going off here. Yeah, 841 00:50:07,680 --> 00:50:09,600 Speaker 1: But I guess that's the thing is that Maybe so 842 00:50:09,680 --> 00:50:11,960 Speaker 1: maybe this lawsuit is more about saying like that to 843 00:50:12,000 --> 00:50:14,440 Speaker 1: get Subway to be like rather than being like, yo, 844 00:50:14,520 --> 00:50:18,480 Speaker 1: we got tuna over here, they may need to shift 845 00:50:18,600 --> 00:50:21,600 Speaker 1: like we have sixty six point six six seven percent tuna, 846 00:50:22,200 --> 00:50:26,520 Speaker 1: or where they could just be like it's tuna, we think, yeah, yeah, 847 00:50:27,360 --> 00:50:31,120 Speaker 1: like trawler surprise, or like seafood hash, Like there are 848 00:50:31,120 --> 00:50:36,120 Speaker 1: other foods that seafood hash. There's they're like corned beef 849 00:50:36,160 --> 00:50:39,240 Speaker 1: hash is is a thing that I have gladly eaten, 850 00:50:39,400 --> 00:50:41,600 Speaker 1: even though I don't know what the funk is in that. 851 00:50:41,719 --> 00:50:45,959 Speaker 1: But did you ever eat scrapple growing up. Yeah, oh yeah, yeah, yeah, 852 00:50:46,000 --> 00:50:47,759 Speaker 1: I'm going to the Jersey Shore in a week and half. 853 00:50:48,760 --> 00:50:52,360 Speaker 1: Scrapple growing up, it's but to me, it's like tuna, 854 00:50:52,440 --> 00:50:54,360 Speaker 1: the new scrapple. You know, you don't know what's in 855 00:50:54,440 --> 00:50:57,480 Speaker 1: it just tastes good. Yeah, I mean, and is that 856 00:50:57,600 --> 00:50:59,480 Speaker 1: is that that bad? I guess that's what we at 857 00:50:59,480 --> 00:51:01,680 Speaker 1: the end of the day. I never ate a tuna 858 00:51:01,719 --> 00:51:04,120 Speaker 1: sandwich because I was like, yes, the taste of tuna, 859 00:51:04,200 --> 00:51:07,799 Speaker 1: I'm gonna give me my like fish essenced man, these 860 00:51:08,320 --> 00:51:12,400 Speaker 1: the alchemy of the Mayo fish. It's like if you 861 00:51:12,400 --> 00:51:14,960 Speaker 1: have a little celery in there. Sometimes I have popped 862 00:51:15,000 --> 00:51:17,600 Speaker 1: it up with a dell. I mean, you never know. 863 00:51:17,800 --> 00:51:21,239 Speaker 1: But have you ever had scrapple? No, I've never, but 864 00:51:21,280 --> 00:51:22,960 Speaker 1: I know about it. Like I've watched a lot of 865 00:51:22,960 --> 00:51:24,799 Speaker 1: cooking shows and I was like, you just take the 866 00:51:24,840 --> 00:51:27,879 Speaker 1: trimmings and mix it up, literally like the other other 867 00:51:28,040 --> 00:51:33,359 Speaker 1: other other was left after the hot dog company has 868 00:51:33,400 --> 00:51:36,960 Speaker 1: come and taken their picks pickings, They're like, okay, the 869 00:51:37,000 --> 00:51:40,440 Speaker 1: rest of this ship just we either like dump it 870 00:51:40,440 --> 00:51:43,440 Speaker 1: in the ocean or the or we turn it into scratches. 871 00:51:43,520 --> 00:51:46,319 Speaker 1: It tastes like meat, or does it have or does 872 00:51:46,320 --> 00:51:48,520 Speaker 1: it have just like generic meat flavor. No, it just 873 00:51:48,520 --> 00:51:52,440 Speaker 1: tastes it tastes like tougher hot dog to me. Yeah, 874 00:51:52,480 --> 00:51:55,480 Speaker 1: but like it tastes like and it's like fattier and 875 00:51:56,080 --> 00:52:01,400 Speaker 1: it's slightly more grizzly. Yeah, yeah for sure grisly gristly, 876 00:52:01,840 --> 00:52:07,439 Speaker 1: not grizzly. Like it's a little grizzly too. Yeah, I see. 877 00:52:07,480 --> 00:52:09,400 Speaker 1: I kind of feel like it's the meat work goes 878 00:52:09,480 --> 00:52:11,759 Speaker 1: like you get your cuts and meat, and then they 879 00:52:11,800 --> 00:52:15,080 Speaker 1: make hot dog meat and then they make meat for 880 00:52:15,200 --> 00:52:19,040 Speaker 1: dog food and stuff like that, and then whatsever left 881 00:52:19,880 --> 00:52:23,120 Speaker 1: we're at like ABC, whatever is left, it d becomes 882 00:52:23,160 --> 00:52:26,200 Speaker 1: scrapple D. I think it's for the Department of Corrections, 883 00:52:26,440 --> 00:52:30,120 Speaker 1: so that's what they feed too incarcerated people. And then yeah, 884 00:52:30,400 --> 00:52:34,720 Speaker 1: it's like even not fit for what people feed in prisons. 885 00:52:34,760 --> 00:52:40,839 Speaker 1: I guess. Yeah, that delicious. It is good. Yeah, why not? Okay, 886 00:52:40,880 --> 00:52:43,160 Speaker 1: I'll try it. Look, bring it on, Bring on the scrapple, 887 00:52:43,200 --> 00:52:46,080 Speaker 1: Bring on the scrapple melt is what you need? You 888 00:52:46,120 --> 00:52:47,799 Speaker 1: need to do a scrapple melt. You need to do 889 00:52:47,840 --> 00:52:51,200 Speaker 1: it on two pieces of Roman male bread. Wait, what's 890 00:52:51,200 --> 00:52:55,359 Speaker 1: the scrapple melt. I've just had you fry it up 891 00:52:55,360 --> 00:52:58,319 Speaker 1: in a pan and you put a little cheese on there. 892 00:52:58,440 --> 00:53:01,239 Speaker 1: I had one of my friends growing up, her momm 893 00:53:01,280 --> 00:53:04,160 Speaker 1: us to put slices of velveta on it, and I 894 00:53:04,200 --> 00:53:10,239 Speaker 1: would wha for like days after, but you would get 895 00:53:10,320 --> 00:53:12,880 Speaker 1: diarrhea by the end of that same looking at it, 896 00:53:12,920 --> 00:53:15,280 Speaker 1: I mean, honey, why do you think I have lupus? Okay, 897 00:53:15,520 --> 00:53:20,920 Speaker 1: it's just it's aut immunities came from the scrapple velvitavut um. 898 00:53:21,000 --> 00:53:25,120 Speaker 1: It's it's crazy, but it's delicious. It will give you 899 00:53:25,320 --> 00:53:29,520 Speaker 1: diarrhea if you're constated. Let me make you that for you. Okay, 900 00:53:29,960 --> 00:53:33,080 Speaker 1: going for it? And yeah, if there's any store bought scrapple, 901 00:53:33,400 --> 00:53:35,680 Speaker 1: let me know, I'll pick it up. I just love 902 00:53:35,719 --> 00:53:37,200 Speaker 1: how we just went from yeah we need to go 903 00:53:37,360 --> 00:53:43,680 Speaker 1: vegan and the worst parts of a pig's asshole with 904 00:53:43,800 --> 00:53:49,320 Speaker 1: velveta on it. You know, two extremes lead to yeah, 905 00:53:49,360 --> 00:53:51,600 Speaker 1: exactly the middle, Right, do you want to eat the 906 00:53:51,800 --> 00:53:55,319 Speaker 1: edible version of that ship that Jack Nicholas Nicholson fell 907 00:53:55,360 --> 00:54:00,640 Speaker 1: into in The Batman, the Original Batman movie, Then try scrapple. Yeah, 908 00:54:00,680 --> 00:54:03,800 Speaker 1: it's stored in a metal bin somewhere in a factory, 909 00:54:03,920 --> 00:54:06,520 Speaker 1: like that's how they dry age. It is like it's 910 00:54:06,520 --> 00:54:09,520 Speaker 1: stored in a bin somewhere where like people are murdered 911 00:54:09,760 --> 00:54:13,719 Speaker 1: and then they bring it out and turn it into scrapple. 912 00:54:14,280 --> 00:54:17,799 Speaker 1: All right. It is, uh the one day of the 913 00:54:17,880 --> 00:54:21,240 Speaker 1: year that I feel okay talking about Major League Baseball. 914 00:54:21,239 --> 00:54:24,160 Speaker 1: It's the All Star Game is happening. I think tonight 915 00:54:24,440 --> 00:54:31,359 Speaker 1: in Los Angeles the one day I feel good about it. Tonight. Uh, well, 916 00:54:31,400 --> 00:54:33,759 Speaker 1: I know the home run derby was last night, so 917 00:54:34,400 --> 00:54:38,680 Speaker 1: there's a night you right, Sorry to clarify the game 918 00:54:38,960 --> 00:54:42,719 Speaker 1: occurring tonight. It's like it's like the NBA, like All 919 00:54:42,760 --> 00:54:47,520 Speaker 1: Star Game. It's like all the best put on their 920 00:54:47,600 --> 00:54:50,960 Speaker 1: little outfits and go for a good game of ball. 921 00:54:51,080 --> 00:54:53,760 Speaker 1: But it doesn't mean anything, right, it's just like fun. 922 00:54:54,239 --> 00:54:57,080 Speaker 1: It does mean. They turned it into a thing where 923 00:54:57,560 --> 00:55:00,880 Speaker 1: I think if the Major if the a L or 924 00:55:00,920 --> 00:55:04,239 Speaker 1: the NL, whoever wins, they get home field advantage in 925 00:55:04,280 --> 00:55:07,200 Speaker 1: the World Series, or at least that was that was 926 00:55:07,480 --> 00:55:10,600 Speaker 1: the case at one point. So they wanted to add 927 00:55:10,719 --> 00:55:14,920 Speaker 1: steaks to it because everybody it's yeah, but it is 928 00:55:15,000 --> 00:55:17,839 Speaker 1: mostly funzies and they just like put people in like 929 00:55:17,880 --> 00:55:20,200 Speaker 1: a picture comes in for like one or two innings 930 00:55:20,280 --> 00:55:25,160 Speaker 1: and then Okay. There have been memorable All Star Games 931 00:55:25,320 --> 00:55:28,680 Speaker 1: in my lifetime, but like the last one, I feel 932 00:55:28,719 --> 00:55:32,560 Speaker 1: like it was like or something. Honestly, I can't. I can't. 933 00:55:32,960 --> 00:55:34,719 Speaker 1: The last time I checked for a home run derby 934 00:55:34,840 --> 00:55:39,560 Speaker 1: was probably that, Like that's so so McGwire year was 935 00:55:39,640 --> 00:55:42,360 Speaker 1: that when he got busted for like taking steroids or 936 00:55:42,400 --> 00:55:47,200 Speaker 1: something like way later. Yeah, Yeah, they're like they're doing 937 00:55:47,280 --> 00:55:49,920 Speaker 1: something no one's ever done. They're like they were juiced 938 00:55:49,960 --> 00:55:54,720 Speaker 1: to the funk out. There's a moon shot that things 939 00:55:54,800 --> 00:55:59,840 Speaker 1: still traveling over a mass pike. His fingernails are n 940 00:56:00,040 --> 00:56:02,279 Speaker 1: on green. That might not be anything. Don't worry about it, 941 00:56:02,680 --> 00:56:07,040 Speaker 1: oh man. Anyways, not always like I don't know, all right, 942 00:56:07,280 --> 00:56:09,720 Speaker 1: I'm not gonna say that baseball players are dumb, because 943 00:56:09,760 --> 00:56:12,799 Speaker 1: that's not a nice thing to say. But this is 944 00:56:12,880 --> 00:56:17,319 Speaker 1: not the most surprising story I've ever heard. So any 945 00:56:17,320 --> 00:56:19,840 Speaker 1: player traveling to Canada has to be vaccinated, as we 946 00:56:19,920 --> 00:56:23,320 Speaker 1: learned in the NBA playoffs when a bunch of players 947 00:56:23,400 --> 00:56:27,160 Speaker 1: couldn't travel to Toronto. I think it was actually just one. 948 00:56:28,160 --> 00:56:31,399 Speaker 1: So the Kansas City Royals have that happened to them 949 00:56:31,560 --> 00:56:34,440 Speaker 1: this weekend where they were head of game in Toronto 950 00:56:35,000 --> 00:56:39,759 Speaker 1: and except ten players had to not play in the game, 951 00:56:40,080 --> 00:56:44,040 Speaker 1: so they were outed as being unvaccinated. And you know 952 00:56:44,080 --> 00:56:47,440 Speaker 1: they in addition to not getting to play in the game, 953 00:56:47,680 --> 00:56:52,640 Speaker 1: they aren't paid for those games and so that like 954 00:56:52,719 --> 00:56:59,000 Speaker 1: on one, Phillies catcher jt Real Mutto said he could 955 00:56:59,080 --> 00:57:02,879 Speaker 1: sacrifice to the two what's money when I'm not going 956 00:57:02,960 --> 00:57:05,640 Speaker 1: to let Canada tell me what I do and don't 957 00:57:05,640 --> 00:57:07,959 Speaker 1: put in my body for a little bit of money. 958 00:57:08,000 --> 00:57:10,960 Speaker 1: It's not worth it, which made me just wonder like 959 00:57:11,000 --> 00:57:14,560 Speaker 1: what what do these babies think is in this ship? 960 00:57:14,840 --> 00:57:19,280 Speaker 1: Like what what are they? I've seen people get pretty sick. 961 00:57:19,760 --> 00:57:23,680 Speaker 1: Yeah that that was they got their vaccine, so it's 962 00:57:23,720 --> 00:57:26,880 Speaker 1: it's yeah. I love Also just shout out to the 963 00:57:26,960 --> 00:57:31,560 Speaker 1: clock the class solidarity there too. What what kN know 964 00:57:32,040 --> 00:57:37,120 Speaker 1: fart that away just to oppone the Canadians, Like what's 965 00:57:37,960 --> 00:57:42,280 Speaker 1: a little bit of the players who are unvaccinated and 966 00:57:42,320 --> 00:57:46,240 Speaker 1: can't travel? A whopping of them are from the US. 967 00:57:46,280 --> 00:57:54,240 Speaker 1: All right, Yeah, bro, it's so embarrassing this country, just 968 00:57:54,320 --> 00:57:59,439 Speaker 1: like what the fuck is wrong with Like I it's 969 00:57:59,560 --> 00:58:03,560 Speaker 1: crazy as the most powerful people in our country are 970 00:58:03,680 --> 00:58:06,520 Speaker 1: like these kinds of athletes, and then other like people 971 00:58:06,560 --> 00:58:10,160 Speaker 1: in Congress who are asking, like doctors if someone who's 972 00:58:10,200 --> 00:58:13,160 Speaker 1: pregnant could give birth to a taco and doing it 973 00:58:13,200 --> 00:58:16,000 Speaker 1: with a straight face, and like we constantly just like 974 00:58:16,360 --> 00:58:18,760 Speaker 1: let that ship cook too, which is wild too, like 975 00:58:19,200 --> 00:58:21,280 Speaker 1: that when you do stories like this, they're like, hey, 976 00:58:21,360 --> 00:58:25,200 Speaker 1: anti VAXX person, say some misinformation right now, right that's 977 00:58:25,240 --> 00:58:29,120 Speaker 1: the yeah. Jam our writer from Canada who's just watching 978 00:58:29,160 --> 00:58:36,000 Speaker 1: this with thetachment hand over his mouth, just stricken look 979 00:58:36,040 --> 00:58:38,600 Speaker 1: of horror on his face, was pointing out that like, 980 00:58:39,480 --> 00:58:42,280 Speaker 1: vaccinated players don't get asked about it, but the unvaccinated 981 00:58:42,320 --> 00:58:46,000 Speaker 1: ones are given a platform to spout misinformation. So like 982 00:58:46,480 --> 00:58:51,240 Speaker 1: this dip this dip ship with marath Field said, like 983 00:58:51,320 --> 00:58:53,720 Speaker 1: Miles said, I've just known too many people have gotten 984 00:58:53,760 --> 00:58:56,600 Speaker 1: pretty sick. But then he he said, I might get 985 00:58:56,680 --> 00:58:59,000 Speaker 1: vaccinated if something happens and I happen to get on 986 00:58:59,040 --> 00:59:01,280 Speaker 1: a team that has a chances to playing Canada in 987 00:59:01,320 --> 00:59:06,760 Speaker 1: the postseason. He's basically he's like, my team sucks, it 988 00:59:06,800 --> 00:59:09,920 Speaker 1: doesn't really matter. But if I you know, if it, 989 00:59:10,000 --> 00:59:13,640 Speaker 1: if it actually means something, I might I might actually 990 00:59:13,640 --> 00:59:16,520 Speaker 1: do the damn thing. But fans love that. I'm sure 991 00:59:16,720 --> 00:59:20,080 Speaker 1: it's but like again, like we're in this world where 992 00:59:20,120 --> 00:59:23,000 Speaker 1: like these people are being challenged at all, and so 993 00:59:23,240 --> 00:59:26,440 Speaker 1: they like, who was it? There was an NBA player 994 00:59:26,640 --> 00:59:30,480 Speaker 1: who was like very adamant that they weren't going to 995 00:59:30,560 --> 00:59:33,720 Speaker 1: get vaccinated, and then like their teammates like how to 996 00:59:33,760 --> 00:59:36,880 Speaker 1: talk with them, and their coach like explained to them 997 00:59:37,000 --> 00:59:40,040 Speaker 1: with Andrew Wiggins. Yeah it was Wiggins, that's right. And 998 00:59:40,080 --> 00:59:42,520 Speaker 1: then he was like, yeah, yeah, I got vaccinated and 999 00:59:43,400 --> 00:59:47,320 Speaker 1: had the season of his fucking career. I think that's 1000 00:59:47,320 --> 00:59:50,000 Speaker 1: what this guy needs to learn when with Maryfield needs 1001 00:59:50,040 --> 00:59:52,640 Speaker 1: to check himself with I love that his take boils 1002 00:59:52,680 --> 00:59:55,400 Speaker 1: down to, look, if y'all were better at baseball, I 1003 00:59:55,480 --> 00:59:59,959 Speaker 1: might give a funk about my life, right like whoa yeah, 1004 01:00:00,560 --> 01:00:02,600 Speaker 1: and also just does not give a shit about the 1005 01:00:02,840 --> 01:00:06,880 Speaker 1: general like couldn't care less it all. It's a lot 1006 01:00:06,880 --> 01:00:11,320 Speaker 1: of it really does would to just America's individualistic, like 1007 01:00:11,440 --> 01:00:16,440 Speaker 1: head up our own ass, just so no other humans 1008 01:00:16,520 --> 01:00:20,640 Speaker 1: exist except for me? Right well, because well again, because 1009 01:00:20,840 --> 01:00:25,080 Speaker 1: our lovely capitalist society is built for the individual. It's 1010 01:00:25,120 --> 01:00:29,080 Speaker 1: not built for the community. It's not built to actually 1011 01:00:29,800 --> 01:00:32,840 Speaker 1: care for each other and give a shit about each other. 1012 01:00:33,040 --> 01:00:35,000 Speaker 1: It is the it's the me, me, me, me, me 1013 01:00:35,360 --> 01:00:41,320 Speaker 1: constantly um and then if someone dares question or have 1014 01:00:41,400 --> 01:00:45,920 Speaker 1: a conversation about why you make said decision. I think 1015 01:00:45,920 --> 01:00:49,840 Speaker 1: there's such a premium that people are like, it's my 1016 01:00:50,000 --> 01:00:55,320 Speaker 1: fucking constitutional right that I get to do whatever the 1017 01:00:55,320 --> 01:00:58,400 Speaker 1: funk I want to do, even if it means threatening 1018 01:00:58,440 --> 01:01:03,240 Speaker 1: the health and lives of other people. So it's like again, 1019 01:01:03,360 --> 01:01:07,600 Speaker 1: it's you know, people, vaccinated people aren't the ones that 1020 01:01:07,640 --> 01:01:13,440 Speaker 1: are being questioned about their information and their viewpoints. It's 1021 01:01:13,480 --> 01:01:19,120 Speaker 1: always the unvaccinated people that are saying some fucking psychotic shit. 1022 01:01:19,440 --> 01:01:22,919 Speaker 1: It's about freedom and freedom from consequence at every turn 1023 01:01:23,120 --> 01:01:25,880 Speaker 1: for every single thing I do. That's what freedom is, 1024 01:01:26,080 --> 01:01:30,480 Speaker 1: freedom from fucking consequence. Because I have misconstrued this concept 1025 01:01:30,600 --> 01:01:33,840 Speaker 1: of freedom where you can do anything you like into 1026 01:01:34,200 --> 01:01:36,280 Speaker 1: I can be as nasty and fucked up as I'd 1027 01:01:36,320 --> 01:01:38,600 Speaker 1: like to anybody, and no one better say shipped to me. 1028 01:01:38,600 --> 01:01:41,120 Speaker 1: Because this is America and I and I just readfined freedom. 1029 01:01:41,160 --> 01:01:44,280 Speaker 1: The American dream is now just getting so rich that 1030 01:01:44,440 --> 01:01:48,200 Speaker 1: you can remove yourself from the human condition, which includes 1031 01:01:48,320 --> 01:01:50,840 Speaker 1: like dealing with other people, that you can say two 1032 01:01:50,920 --> 01:01:55,360 Speaker 1: hundred and fifty thousand dollars and another and again, Yeah, 1033 01:01:55,400 --> 01:01:58,040 Speaker 1: it's what's two fifty if I can say fuck you 1034 01:01:58,120 --> 01:02:01,200 Speaker 1: to Canada? Am I? Right? And again that's the concept 1035 01:02:01,240 --> 01:02:04,000 Speaker 1: that in the culture of fuck you money, which is 1036 01:02:04,040 --> 01:02:06,760 Speaker 1: basically I don't have so much money, I can say 1037 01:02:06,800 --> 01:02:13,280 Speaker 1: fuck you to anything, and that's fucking freedom. Right, that's tight, dude, sick. Anyways, 1038 01:02:14,120 --> 01:02:19,000 Speaker 1: go Blue Jays. I guess it's the moral of that story. Yeah. 1039 01:02:19,240 --> 01:02:21,320 Speaker 1: I would just love that it turns out like Toronto, 1040 01:02:21,440 --> 01:02:24,040 Speaker 1: just like the city that just crushes other teams and 1041 01:02:24,080 --> 01:02:27,080 Speaker 1: they're like, yeah, bring your anti vaxers. Oh right, you can't. 1042 01:02:27,160 --> 01:02:31,440 Speaker 1: Oh sorry, they'll get to the World Series and they suck. 1043 01:02:31,560 --> 01:02:34,959 Speaker 1: They've just been playing like teams that don't have any 1044 01:02:35,000 --> 01:02:39,760 Speaker 1: players the whole season. Different. It's pretty funny. All right. 1045 01:02:40,080 --> 01:02:44,440 Speaker 1: That's gonna do it for this week's weekly Zeitgeist. Please 1046 01:02:44,600 --> 01:02:47,880 Speaker 1: like and review the show. If you like the show, 1047 01:02:48,480 --> 01:02:52,880 Speaker 1: uh means the world to Miles. He he needs your validation, folks. 1048 01:02:53,480 --> 01:02:56,520 Speaker 1: I hope you're having a great weekend and I will 1049 01:02:56,560 --> 01:03:01,800 Speaker 1: talk to him Monday. By s