1 00:00:00,120 --> 00:00:03,440 Speaker 1: Hello the Internet, and welcome to Season to twelve, episode 2 00:00:03,440 --> 00:00:06,680 Speaker 1: two of The Daily. Like guys, the production of My 3 00:00:06,840 --> 00:00:09,360 Speaker 1: Heart Radio. This is a podcast were we taking to 4 00:00:09,360 --> 00:00:14,840 Speaker 1: you drive into America's sharing consciousness. It's Tuesday, November, which 5 00:00:14,920 --> 00:00:22,040 Speaker 1: is of course espresso day. Yeah, national et a Cranberry day, 6 00:00:22,280 --> 00:00:25,279 Speaker 1: just one. No, I think I think they mean the 7 00:00:25,360 --> 00:00:30,720 Speaker 1: band like one of the band members, Okay, yeah, right, yeah, 8 00:00:31,760 --> 00:00:34,839 Speaker 1: in recognition of cannibalism and yeah or yeah, you know, 9 00:00:34,960 --> 00:00:36,879 Speaker 1: whatever whatever you're into. But I've noticed a lot of 10 00:00:36,880 --> 00:00:39,320 Speaker 1: these days, like you can scroll down and you realize 11 00:00:39,360 --> 00:00:42,040 Speaker 1: there's like they just submit to this calendar and you 12 00:00:42,080 --> 00:00:44,600 Speaker 1: can get it. So I feel at some point maybe 13 00:00:44,640 --> 00:00:50,000 Speaker 1: we will submit our own day. Maybe who knows International 14 00:00:50,120 --> 00:00:53,160 Speaker 1: Daily as I guys, Well, my name is Jack O'Brien, 15 00:00:53,240 --> 00:00:55,680 Speaker 1: a k getting choogy with it. Mo mo mo mo 16 00:00:55,880 --> 00:00:59,360 Speaker 1: mo mo mo mo Mo mo mo mo. That's courtesy 17 00:00:59,480 --> 00:01:02,680 Speaker 1: and some j Anson He was like, this has probably 18 00:01:02,680 --> 00:01:06,040 Speaker 1: already been done. I don't know. I don't get it, 19 00:01:06,360 --> 00:01:09,680 Speaker 1: so I don't know what what the mo is for. 20 00:01:09,840 --> 00:01:13,160 Speaker 1: Maybe it's like because I say mo instead of moment 21 00:01:13,400 --> 00:01:17,399 Speaker 1: or something. Maybe I don't know, but it was less 22 00:01:17,440 --> 00:01:21,000 Speaker 1: obvious thing you thought it was and Jensen and uh, 23 00:01:21,440 --> 00:01:24,760 Speaker 1: we appreciate you, man. And I'm thrilled to be joined 24 00:01:24,760 --> 00:01:31,440 Speaker 1: as always by my co host, Mr Miles Grass of me, 25 00:01:33,080 --> 00:01:39,679 Speaker 1: that's a red guest, too bad Facebook takes from White 26 00:01:39,959 --> 00:01:47,200 Speaker 1: and Blue, And I think to myself, what the fun 27 00:01:51,880 --> 00:01:57,200 Speaker 1: that the Lockeronia discord? I just like the just yeah, 28 00:01:57,240 --> 00:02:01,760 Speaker 1: And I think to myself, what the fuck? That was 29 00:02:01,800 --> 00:02:04,920 Speaker 1: the original the original version of that song. Yeah, they're 30 00:02:04,920 --> 00:02:10,959 Speaker 1: like Louis Man, we might we might have to change that. Yeah, 31 00:02:11,280 --> 00:02:15,359 Speaker 1: we will get to it, but what the fuck. Indeed, well, Miles, 32 00:02:15,520 --> 00:02:17,480 Speaker 1: We're thrilled to be joined in our third seat by 33 00:02:17,480 --> 00:02:20,960 Speaker 1: a very funny TV writer, comedian, filmmaker, artist, and creator 34 00:02:21,000 --> 00:02:24,840 Speaker 1: the viral web comics Bad Comics by Anna, currently a 35 00:02:24,840 --> 00:02:27,839 Speaker 1: writer on the Apple comedy series Loot. Her half hour 36 00:02:27,919 --> 00:02:32,079 Speaker 1: comedy pilot Inside Kunt, about a vagina that starts transmitting 37 00:02:32,080 --> 00:02:35,920 Speaker 1: spy signals, was named to the Latin x TV Blacklist. 38 00:02:36,200 --> 00:02:44,840 Speaker 1: Please Welcome the hilarious, the talented Ana Selena. I feel like, 39 00:02:44,919 --> 00:02:48,200 Speaker 1: I thank you. I'm not on the show Loot anymore. 40 00:02:48,280 --> 00:02:51,440 Speaker 1: That writer's remanded I'm on another show. I feel like 41 00:02:51,480 --> 00:02:53,880 Speaker 1: if my co workers hear this, they'll be like, what 42 00:02:53,960 --> 00:02:57,440 Speaker 1: the fuck? Yeah, well hit us with the new it's 43 00:02:57,480 --> 00:03:02,160 Speaker 1: the Big Mouth spinoff. Oh yes, it's been announced, so 44 00:03:02,200 --> 00:03:05,680 Speaker 1: it's not like secret, that's right. I mean it's about 45 00:03:05,680 --> 00:03:09,320 Speaker 1: the monsters. Oh wait, what's I'm okay, I'm confusing many 46 00:03:09,320 --> 00:03:13,200 Speaker 1: different Deadline articles. There is a storyline on Big Mouth 47 00:03:13,440 --> 00:03:17,720 Speaker 1: where they follow Missy and stuff. M No, the show 48 00:03:17,800 --> 00:03:20,400 Speaker 1: is called Human Resources and it follows like the hormone 49 00:03:20,440 --> 00:03:26,000 Speaker 1: monsters and the anxiety mosquito and love bugs and stuff. 50 00:03:26,240 --> 00:03:34,200 Speaker 1: That's right up, it's perfect. Did it was so crazy? 51 00:03:34,240 --> 00:03:37,760 Speaker 1: I mean they definitely saw my comic and I was like, 52 00:03:37,880 --> 00:03:40,080 Speaker 1: in the meeting, I was just like, yeah, I mean 53 00:03:40,120 --> 00:03:44,600 Speaker 1: that is what my comic is. And it's yeah, it's 54 00:03:44,640 --> 00:03:47,880 Speaker 1: interesting to see all the ideas I ever had about 55 00:03:47,880 --> 00:03:52,040 Speaker 1: my comic explored in this show. And I'm like, okay, cool, yeah, 56 00:03:52,080 --> 00:03:55,920 Speaker 1: I'll figure out something else. Are you? I'm imagining you're 57 00:03:55,960 --> 00:03:58,480 Speaker 1: excited because I couldn't. This seems like such a great 58 00:03:58,520 --> 00:04:02,920 Speaker 1: creative fit for someone who regularly like will anthropomorphize or 59 00:04:03,400 --> 00:04:08,119 Speaker 1: you know, manifest physical and our emotions into characters. I am. 60 00:04:08,360 --> 00:04:13,000 Speaker 1: It's it's really fun. We're actually recording my episode right now, 61 00:04:13,240 --> 00:04:17,599 Speaker 1: so it's great. I love it. And yeah, animation is 62 00:04:17,640 --> 00:04:20,880 Speaker 1: so fun because you get to like immediately move into 63 00:04:20,920 --> 00:04:23,440 Speaker 1: production so you get to be a part of it 64 00:04:23,480 --> 00:04:26,039 Speaker 1: a little more. How's it turnaround for a show like that, 65 00:04:26,080 --> 00:04:28,200 Speaker 1: because like, you know, like for people who I know 66 00:04:28,279 --> 00:04:30,880 Speaker 1: wor work on like the like Fox anime shows are like, 67 00:04:30,960 --> 00:04:34,360 Speaker 1: oh yeah, it'll premiere in fourteen months. Yeah, this comes 68 00:04:34,360 --> 00:04:38,400 Speaker 1: out in a billion years. So okay, I don't know 69 00:04:38,440 --> 00:04:40,760 Speaker 1: how much I can say because it's not that much 70 00:04:40,800 --> 00:04:43,760 Speaker 1: has been announced, but it comes out in like two years. 71 00:04:44,320 --> 00:04:47,640 Speaker 1: What I am writing comes out of Okay, Well, the 72 00:04:47,640 --> 00:04:50,640 Speaker 1: episodes of The Simpsons they're releasing this season, we're written 73 00:04:50,640 --> 00:04:56,360 Speaker 1: in the late nineties. Here. Yeah, it's just the process. 74 00:04:56,400 --> 00:05:02,640 Speaker 1: The predictions were spot on, predict to cover. All Right, Donna, 75 00:05:02,640 --> 00:05:04,880 Speaker 1: we're gonna get to know you a little bit better 76 00:05:04,920 --> 00:05:06,680 Speaker 1: in a moment. First, we're gonna tell our listeners a 77 00:05:06,680 --> 00:05:08,520 Speaker 1: few of the things we're talking about. We're gonna look 78 00:05:08,560 --> 00:05:12,280 Speaker 1: at inflation, which is becoming a big buzzword, and talk 79 00:05:12,320 --> 00:05:16,440 Speaker 1: about like why why it's happening. Because I think generally 80 00:05:16,600 --> 00:05:21,799 Speaker 1: people who aren't you know, ceo s and financial analysts 81 00:05:21,880 --> 00:05:25,000 Speaker 1: who have done time on Wall Street firms tend to 82 00:05:25,000 --> 00:05:28,159 Speaker 1: shy away from this because they're they're either they think 83 00:05:28,200 --> 00:05:31,880 Speaker 1: it's their fault for earning too much money, which is 84 00:05:31,920 --> 00:05:35,760 Speaker 1: what the corporate people tell us, or they feel like 85 00:05:36,000 --> 00:05:39,359 Speaker 1: it's too complex and it's really not that complicated. So 86 00:05:39,400 --> 00:05:42,000 Speaker 1: we're gonna talk about that, and we're gonna talk about 87 00:05:42,160 --> 00:05:45,760 Speaker 1: the rapid test quagmire because you know, a lot of 88 00:05:45,760 --> 00:05:48,799 Speaker 1: people are looking to be able to test themselves test 89 00:05:48,839 --> 00:05:53,320 Speaker 1: relatives heading into Thanksgiving and that is not possible in 90 00:05:53,480 --> 00:05:56,599 Speaker 1: these United States, which might be news to people in 91 00:05:56,720 --> 00:06:02,360 Speaker 1: other countries. Since France, Germany, Belt, Great Britain you can 92 00:06:02,560 --> 00:06:07,320 Speaker 1: just order a free test. Yeah. So we'll talk about 93 00:06:07,320 --> 00:06:09,120 Speaker 1: all that plenty more. But first on it, we do 94 00:06:09,200 --> 00:06:11,920 Speaker 1: like to ask eric guests, what is something from your 95 00:06:11,920 --> 00:06:16,040 Speaker 1: search history? Okay, so the last two things I searched 96 00:06:16,080 --> 00:06:21,120 Speaker 1: for were Randall Park wife and Catherine the Great husband 97 00:06:22,520 --> 00:06:32,800 Speaker 1: and epic shipping going on. Honestly, I was recording with 98 00:06:32,920 --> 00:06:36,000 Speaker 1: Randall Park and very creepily was like, this is a 99 00:06:36,040 --> 00:06:40,239 Speaker 1: good looking guy. He seems so nice, what a great guy. 100 00:06:40,520 --> 00:06:42,920 Speaker 1: He probably has a girlfriend or a white now let 101 00:06:42,960 --> 00:06:46,000 Speaker 1: me just chat. I should just check, and I checked, 102 00:06:46,040 --> 00:06:49,080 Speaker 1: and he very much does and seems happily married. There 103 00:06:49,120 --> 00:06:51,720 Speaker 1: you but you know this answer was like why did 104 00:06:51,760 --> 00:06:56,440 Speaker 1: I check? What was going to come of? That mean 105 00:06:56,520 --> 00:06:58,760 Speaker 1: it's because you Definitely that sounds like you're like, let 106 00:06:58,760 --> 00:07:01,600 Speaker 1: me just see. So at the very least you were 107 00:07:02,040 --> 00:07:05,320 Speaker 1: he was a very charming seems like, oh my gosh, 108 00:07:05,480 --> 00:07:08,160 Speaker 1: so charming. But I think in my head, I was like, 109 00:07:08,920 --> 00:07:15,640 Speaker 1: you know what, But anyway, yeah, and I sit on 110 00:07:15,760 --> 00:07:19,920 Speaker 1: the records muted with my camera off, so I'm invisible 111 00:07:20,040 --> 00:07:22,680 Speaker 1: to him, just like maybe he senses me, but he 112 00:07:22,720 --> 00:07:27,000 Speaker 1: could sense the vibe for sure, And then I was 113 00:07:27,040 --> 00:07:29,320 Speaker 1: looking up Catherine the Great Husband. I mean, this is 114 00:07:29,400 --> 00:07:31,880 Speaker 1: less exciting, but have you guys been watching The Great 115 00:07:33,440 --> 00:07:37,320 Speaker 1: the show on Hulu? It's so just dropped. And I 116 00:07:37,400 --> 00:07:40,080 Speaker 1: feel like everyone I talked to who's seen the show 117 00:07:40,920 --> 00:07:43,680 Speaker 1: loves it and thinks it's so good. And I feel 118 00:07:44,000 --> 00:07:47,080 Speaker 1: crazy because I don't think it's that good. I don't 119 00:07:47,080 --> 00:07:50,000 Speaker 1: know what it is about l Fanning, but it feels 120 00:07:50,120 --> 00:07:55,240 Speaker 1: like a bunch of white women just like celebrating themselves. 121 00:07:55,240 --> 00:07:58,640 Speaker 1: I don't know, it feels so white feminist, and I 122 00:07:58,680 --> 00:08:01,720 Speaker 1: feel bad saying that because I I don't know. There's 123 00:08:01,760 --> 00:08:04,800 Speaker 1: aspects of the show that are cool and I'm sure 124 00:08:04,800 --> 00:08:11,040 Speaker 1: talented people made it, but it's just so pop feminism. 125 00:08:11,080 --> 00:08:13,320 Speaker 1: But anyway, Nicholas Holt is the best part. And I 126 00:08:13,400 --> 00:08:15,240 Speaker 1: was like, how much of this is based on real life? 127 00:08:15,320 --> 00:08:18,080 Speaker 1: Let me look it up and spoiler alert, not a 128 00:08:18,120 --> 00:08:21,600 Speaker 1: lot is based on real life. Did uh? What was 129 00:08:22,000 --> 00:08:26,240 Speaker 1: Did the actual husband look camera ready? No? He was 130 00:08:26,400 --> 00:08:30,320 Speaker 1: very not handsome. The actual husband was this like tiny, 131 00:08:30,480 --> 00:08:36,040 Speaker 1: little squirrelly man who just looks like a goober, like 132 00:08:36,120 --> 00:08:41,600 Speaker 1: a fucking goober. And she apparently when she took over 133 00:08:41,640 --> 00:08:44,480 Speaker 1: his throne and forced him to abdicate, she like killed 134 00:08:44,520 --> 00:08:47,320 Speaker 1: him right away, but there's all these rumors that she 135 00:08:47,440 --> 00:08:49,600 Speaker 1: kept him prisoner, and it's like, of course the show 136 00:08:49,679 --> 00:08:51,760 Speaker 1: is going to try to keep alive Nicholas Holt. He's 137 00:08:51,760 --> 00:08:55,720 Speaker 1: the best part of the show. So I didn't know 138 00:08:55,800 --> 00:08:59,040 Speaker 1: Nicholas Holt. Is he a little boy from About a Boy? 139 00:08:59,200 --> 00:09:01,880 Speaker 1: Yes he is, and he grew up to be a charming, 140 00:09:02,080 --> 00:09:06,880 Speaker 1: handsome man who probably is married too. He's also the 141 00:09:06,920 --> 00:09:09,480 Speaker 1: main dude, or the not the main dude, but like 142 00:09:09,559 --> 00:09:13,400 Speaker 1: the best character in Mad Max Fury Road. This is 143 00:09:13,400 --> 00:09:17,440 Speaker 1: the first time I thought about Nicholas as a as 144 00:09:17,520 --> 00:09:21,040 Speaker 1: a person other than being like, damn, that dude is 145 00:09:21,080 --> 00:09:24,240 Speaker 1: really doing it in mad Max Fury Road. But yeah, 146 00:09:24,280 --> 00:09:29,319 Speaker 1: he's also beast in X Men and pretty hand without 147 00:09:29,520 --> 00:09:34,160 Speaker 1: a bunch of makeup. Onyeah yeah, and is he married? 148 00:09:34,480 --> 00:09:37,000 Speaker 1: Did you look at I didn't. I'm sure, Like I 149 00:09:37,040 --> 00:09:39,160 Speaker 1: don't even need to. He's too beloking not to be. 150 00:09:39,360 --> 00:09:42,000 Speaker 1: That's kind of my take these days. I'm like, oh, 151 00:09:42,080 --> 00:09:45,800 Speaker 1: if someone's a catch, they're taken, or if they're not, 152 00:09:45,880 --> 00:09:48,840 Speaker 1: then you're like, okay, so what's going on here? Yeah, 153 00:09:48,880 --> 00:09:52,319 Speaker 1: exam like something's wrong, which of course is me projecting 154 00:09:52,520 --> 00:09:55,240 Speaker 1: on myself. But you know what I mean, something's wrong 155 00:09:55,280 --> 00:09:59,040 Speaker 1: with me and I'm single, So then the thing and 156 00:09:59,080 --> 00:10:03,199 Speaker 1: I'm I should I should stipulate I'm not single, but 157 00:10:03,440 --> 00:10:07,040 Speaker 1: I was single for a little bit, so that mentality 158 00:10:07,120 --> 00:10:09,520 Speaker 1: is still kind of there of just like you know, 159 00:10:09,760 --> 00:10:12,320 Speaker 1: you want to check, you want to see people's status. Look, 160 00:10:12,440 --> 00:10:15,200 Speaker 1: I'm in a very committed relationship and sometimes you got 161 00:10:15,200 --> 00:10:17,760 Speaker 1: to do a quick heat check. What I mean, Like, 162 00:10:17,760 --> 00:10:21,839 Speaker 1: am I just on fire right now? Let me see 163 00:10:21,880 --> 00:10:26,840 Speaker 1: I'm not. I'm not good to know? Yeah, yeah, I 164 00:10:26,840 --> 00:10:31,199 Speaker 1: mean I think anyone who's like going to act like 165 00:10:31,280 --> 00:10:34,640 Speaker 1: this isn't the most universal thing, Like when you google 166 00:10:34,720 --> 00:10:38,040 Speaker 1: anybody's name, like the very first thing that comes up 167 00:10:38,080 --> 00:10:42,720 Speaker 1: with his girlfriend. Yeah. I've actually taken a lot of 168 00:10:42,800 --> 00:10:48,040 Speaker 1: pleasure in following people I think are hot on TikTok 169 00:10:48,160 --> 00:10:51,160 Speaker 1: and Instagram. Like I've really gotten into and now I 170 00:10:51,200 --> 00:10:54,160 Speaker 1: get it. Like when I see someone really attractive on 171 00:10:54,200 --> 00:10:56,559 Speaker 1: a TV show, I'm like, oh, I'm going to follow 172 00:10:56,640 --> 00:10:59,880 Speaker 1: them and just like get there because it's you know 173 00:11:00,000 --> 00:11:01,640 Speaker 1: what I mean. I don't know why it took me 174 00:11:01,679 --> 00:11:04,880 Speaker 1: so long to be this person who's, like, I guess, 175 00:11:04,920 --> 00:11:09,000 Speaker 1: a creep, but I started following porn stars on Twitter 176 00:11:09,040 --> 00:11:13,040 Speaker 1: because it's like why not live once? Yeah, there's nothing wrong. 177 00:11:13,040 --> 00:11:16,280 Speaker 1: There's not an animal immoral about just this is another person. 178 00:11:16,360 --> 00:11:19,120 Speaker 1: You're they're artists. You said, what's your art about? Okay, yeah, 179 00:11:20,000 --> 00:11:23,480 Speaker 1: you know it's I think it's beautiful and simple and 180 00:11:23,880 --> 00:11:26,600 Speaker 1: there's some sort of taboo around women doing it. But 181 00:11:26,679 --> 00:11:31,560 Speaker 1: it's like, screw that. Yeah, I mean Nicholas Holt Space 182 00:11:31,679 --> 00:11:35,720 Speaker 1: brings up Nicholas Hoult wife, Nicholas Hoult girlfriend, Nicholas Holt height. 183 00:11:36,240 --> 00:11:38,640 Speaker 1: So oh he's tall. He's a tall man. Six to 184 00:11:39,400 --> 00:11:43,320 Speaker 1: there you go, oh, definitely not single if it's six 185 00:11:43,360 --> 00:11:48,000 Speaker 1: to because it's the online dating red flag height of 186 00:11:48,080 --> 00:11:51,680 Speaker 1: five ten exactly where it's like, you know, they added 187 00:11:51,679 --> 00:11:54,960 Speaker 1: on four Randall Park space. First thing that pops up 188 00:11:55,040 --> 00:11:59,480 Speaker 1: Randall Park Wife then Randall Park net Worth. So they're like, oh, 189 00:12:00,120 --> 00:12:02,960 Speaker 1: but maybe space. You know, if you do Randall Park 190 00:12:03,040 --> 00:12:05,520 Speaker 1: and then put a space in, it starts auto completing. Right. 191 00:12:06,679 --> 00:12:08,559 Speaker 1: I thought it got real heavy for a second. It's 192 00:12:08,559 --> 00:12:13,280 Speaker 1: like Randall Park space. Yeah, we're all in space when 193 00:12:13,320 --> 00:12:16,480 Speaker 1: you think about it, Miles just hurdling through the inky 194 00:12:16,640 --> 00:12:20,839 Speaker 1: darkness on this blue marble that we call Earth. What 195 00:12:21,080 --> 00:12:25,280 Speaker 1: is something you think is overrated on it? This is 196 00:12:25,320 --> 00:12:30,120 Speaker 1: a little dark because of what happened recently in the news, 197 00:12:30,160 --> 00:12:33,079 Speaker 1: But I'm gonna say it because I do think it's true. 198 00:12:33,640 --> 00:12:37,960 Speaker 1: I think music festivals are very overrated. And I say 199 00:12:38,000 --> 00:12:41,520 Speaker 1: that because I went to Outside Lands in San Francisco 200 00:12:41,600 --> 00:12:45,360 Speaker 1: over Halloween and they're all these amazing acts, you know, 201 00:12:45,520 --> 00:12:52,040 Speaker 1: like the Strokes, Tyler Glass, Animals. Nellie was randomly there, 202 00:12:52,360 --> 00:12:55,880 Speaker 1: Lizzo was the headliner, and on paper that's really cool. 203 00:12:55,920 --> 00:12:58,240 Speaker 1: It's like, yeah, I want to go see all those artists, 204 00:12:58,559 --> 00:13:02,559 Speaker 1: but the shows suck because man, I feel like I 205 00:13:02,679 --> 00:13:06,079 Speaker 1: figured out this scam and I'm pissed. So, like, Glass 206 00:13:06,120 --> 00:13:09,400 Speaker 1: Animals goes on to perform at six pm, and I'm like, 207 00:13:09,520 --> 00:13:12,800 Speaker 1: this music is pretty soft, and everyone is watching Glass 208 00:13:12,840 --> 00:13:15,560 Speaker 1: Animals because they're really popular right now. So the whole 209 00:13:15,640 --> 00:13:18,880 Speaker 1: like all fifty people in this park or however many 210 00:13:18,920 --> 00:13:21,880 Speaker 1: it is, are crowded just to see fucking Glass Animals, 211 00:13:21,880 --> 00:13:25,120 Speaker 1: while some pour acoustic singers on the other stage that 212 00:13:25,160 --> 00:13:29,120 Speaker 1: no one cares about, and you couldn't hear. You couldn't 213 00:13:29,160 --> 00:13:31,160 Speaker 1: hear the music, and that music is meant to like 214 00:13:31,600 --> 00:13:37,000 Speaker 1: encircle you. And then lo and behold, Lizzo goes on 215 00:13:37,160 --> 00:13:40,440 Speaker 1: at eight p m. And the music is blasting all 216 00:13:40,520 --> 00:13:44,120 Speaker 1: through the park. So they have the capability to turn 217 00:13:44,200 --> 00:13:46,439 Speaker 1: up this music so you don't have to squish yourself 218 00:13:46,440 --> 00:13:49,560 Speaker 1: to the front. They could just turn it louder so 219 00:13:49,559 --> 00:13:53,320 Speaker 1: people could fucking space out, but they don't, and that 220 00:13:53,559 --> 00:13:56,640 Speaker 1: is a scam and I am not okay with it. 221 00:13:56,880 --> 00:13:59,920 Speaker 1: And so because of that, I ended up not going 222 00:14:00,080 --> 00:14:02,120 Speaker 1: to see a lot of these artists because I was like, 223 00:14:02,280 --> 00:14:04,280 Speaker 1: I don't want to deal with the crowd and whatever, 224 00:14:04,720 --> 00:14:07,840 Speaker 1: and I missed Nellie, which was maybe the whole point 225 00:14:07,840 --> 00:14:12,480 Speaker 1: of going to see Nellie oh man, I guess they 226 00:14:12,480 --> 00:14:14,520 Speaker 1: didn't hear a lot about him being in the news 227 00:14:14,600 --> 00:14:17,280 Speaker 1: much recently. But hey, yeah that's always can't find a 228 00:14:17,360 --> 00:14:22,520 Speaker 1: line up somewhere, we let our nostalgia dictate. Yeah, I'm 229 00:14:22,560 --> 00:14:26,239 Speaker 1: curious was there? So in your mind is this a conspiracy? 230 00:14:26,320 --> 00:14:29,240 Speaker 1: Like you're saying like they're turning Glass Animals down because 231 00:14:29,280 --> 00:14:31,000 Speaker 1: maybe they are trying to help A not like I'm 232 00:14:31,000 --> 00:14:32,760 Speaker 1: trying to pull up this that time to see like 233 00:14:32,800 --> 00:14:35,480 Speaker 1: who was playing when Glass Animals was playing, because it's 234 00:14:35,520 --> 00:14:41,560 Speaker 1: like the organizer's daughter was on acoustical Yeah, like the 235 00:14:42,840 --> 00:14:45,680 Speaker 1: but like, yeah, because I really love outside Lands actually 236 00:14:45,680 --> 00:14:47,360 Speaker 1: as the festival. I was just talking about that because 237 00:14:47,360 --> 00:14:50,480 Speaker 1: we had a who was just there? But it's I 238 00:14:50,520 --> 00:14:53,400 Speaker 1: like it because of the music festivals. It's like the 239 00:14:53,440 --> 00:14:56,640 Speaker 1: most space and the most bathrooms and the most like 240 00:14:56,920 --> 00:14:59,560 Speaker 1: and more of like the things that like trouble me 241 00:14:59,600 --> 00:15:01,080 Speaker 1: about a That's what it was like. I got to 242 00:15:01,120 --> 00:15:03,400 Speaker 1: hold my PM for nine hours because like the lines 243 00:15:03,440 --> 00:15:05,040 Speaker 1: are too long and then you can't get a good 244 00:15:05,040 --> 00:15:08,240 Speaker 1: spot whereas there you can be pretty like leisurely. But 245 00:15:08,480 --> 00:15:12,440 Speaker 1: I'm I'm sticking moving my point. Yeah, that I went 246 00:15:12,520 --> 00:15:15,760 Speaker 1: to the best of the best, the most space, the 247 00:15:15,800 --> 00:15:19,120 Speaker 1: most bathrooms. They had a whole weed space where you 248 00:15:19,200 --> 00:15:25,240 Speaker 1: go and buy there. Yeah, and still it fucking sucked. 249 00:15:25,960 --> 00:15:30,320 Speaker 1: I was so tired and I tried so hard, and 250 00:15:30,400 --> 00:15:33,200 Speaker 1: everyone was so drunk in college age and I have 251 00:15:33,320 --> 00:15:37,080 Speaker 1: never in my life felt older. But let me tell 252 00:15:37,120 --> 00:15:40,080 Speaker 1: you something. Look, it may be a scam, but I 253 00:15:40,120 --> 00:15:44,720 Speaker 1: cracked the code. So they had this like club in 254 00:15:44,800 --> 00:15:47,320 Speaker 1: a tent and the line was like three hours long. 255 00:15:47,400 --> 00:15:50,080 Speaker 1: It was That's another thing. What there's been three hours 256 00:15:50,080 --> 00:15:52,040 Speaker 1: at a music costival? A fucking line can you have? 257 00:15:53,280 --> 00:15:54,840 Speaker 1: But so I was like, I was like, I'm never 258 00:15:54,880 --> 00:15:58,720 Speaker 1: getting into that. But I went during Nellie and it 259 00:15:58,800 --> 00:16:02,360 Speaker 1: was the only time that that tent was empty and 260 00:16:02,400 --> 00:16:04,480 Speaker 1: you could go right in. So that was the price 261 00:16:05,480 --> 00:16:10,680 Speaker 1: get into that. Stupid everybody who was playing man enough. 262 00:16:11,320 --> 00:16:14,720 Speaker 1: Fuck that was a line up on that day. Krungben 263 00:16:14,880 --> 00:16:18,680 Speaker 1: went on before Glass Animals, and then Kate Renata was 264 00:16:18,760 --> 00:16:22,480 Speaker 1: after Glass Animals, and then that led into Tyler or 265 00:16:22,520 --> 00:16:26,000 Speaker 1: you could have caused Sango at the house by wow, 266 00:16:26,320 --> 00:16:29,080 Speaker 1: I'm trying to find a conspiracy here, but it's a 267 00:16:29,080 --> 00:16:33,120 Speaker 1: lot of heavy hitters to you should know that Miles 268 00:16:33,160 --> 00:16:37,040 Speaker 1: is sponsored by Outside Lands, So this man, you're going 269 00:16:37,080 --> 00:16:41,760 Speaker 1: to get anytime, got that because actually the savings in 270 00:16:41,880 --> 00:16:45,160 Speaker 1: time alone make it worth the extra fos. Now, you know, 271 00:16:45,280 --> 00:16:47,720 Speaker 1: I'm just a fan, but shout out to Ranger Dave. 272 00:16:49,280 --> 00:16:53,800 Speaker 1: I think that's absolutely true about music festivals. Based on 273 00:16:53,880 --> 00:16:57,680 Speaker 1: my experience of going to Coachella once was that it 274 00:16:57,760 --> 00:17:00,160 Speaker 1: was just like a total crap shoot And probably the 275 00:17:00,160 --> 00:17:04,400 Speaker 1: most disappointing live music experience I've ever had was seeing 276 00:17:04,520 --> 00:17:08,119 Speaker 1: Outcast live for the first time their first like reunion 277 00:17:08,760 --> 00:17:15,280 Speaker 1: show on that on that Yeah you were there first 278 00:17:15,320 --> 00:17:17,639 Speaker 1: week or second week, second week, because I was My 279 00:17:17,720 --> 00:17:20,120 Speaker 1: strategy is always buy second week tickets because everyone wants 280 00:17:20,119 --> 00:17:21,679 Speaker 1: the first week tickets or back. You know, when I 281 00:17:21,760 --> 00:17:24,760 Speaker 1: used to go, so first week, the sound was all 282 00:17:24,760 --> 00:17:28,239 Speaker 1: funked up for the Outcast show, like you really and 283 00:17:28,280 --> 00:17:33,440 Speaker 1: then like I think Andre started getting like getting sort 284 00:17:33,440 --> 00:17:36,159 Speaker 1: of assuming that the audience just wasn't into them, and 285 00:17:36,240 --> 00:17:38,720 Speaker 1: like so he started like kind of yelling at the audience. 286 00:17:38,960 --> 00:17:41,439 Speaker 1: But it was just like the sound fucking sucked. It 287 00:17:41,520 --> 00:17:44,320 Speaker 1: was so bad like for their show, they just hadn't 288 00:17:44,359 --> 00:17:48,960 Speaker 1: like dialed it in, and it's really tough. It's and 289 00:17:49,040 --> 00:17:51,400 Speaker 1: it's a tough thing for an artist because unless you're 290 00:17:51,440 --> 00:17:54,320 Speaker 1: the headliner and they blast that music and have it 291 00:17:54,320 --> 00:17:57,320 Speaker 1: all figured out your set, plus you get the set 292 00:17:57,400 --> 00:17:59,920 Speaker 1: up on stage, like Tyler was in a fucking bow 293 00:18:00,200 --> 00:18:03,440 Speaker 1: on stage. That was really cool. But unless you have that, 294 00:18:03,600 --> 00:18:06,560 Speaker 1: it is a lot of space to fill up with 295 00:18:06,600 --> 00:18:10,920 Speaker 1: your presence. And Oh sevent Dy Shake, who I love, 296 00:18:11,680 --> 00:18:14,520 Speaker 1: went up and I guess she goes by oh seven 297 00:18:14,520 --> 00:18:16,480 Speaker 1: oh Shake, which I didn't know until I saw that show. 298 00:18:16,920 --> 00:18:19,520 Speaker 1: But put on a great show. But it's like this 299 00:18:19,720 --> 00:18:22,679 Speaker 1: big gas stage and it was at the very beginning 300 00:18:22,720 --> 00:18:24,840 Speaker 1: of the festival, day one, so not a lot of 301 00:18:24,840 --> 00:18:26,880 Speaker 1: people were there. And she did the same thing where 302 00:18:26,880 --> 00:18:29,160 Speaker 1: she was kind of yelling at the audience like come on, 303 00:18:29,440 --> 00:18:32,560 Speaker 1: be excited, and you just saw everyone just like not 304 00:18:32,760 --> 00:18:36,119 Speaker 1: into it. And I was like, fuck this place, I'm 305 00:18:36,160 --> 00:18:46,720 Speaker 1: gonna go smoke some weed and Grasslands. Yeah, same stage. 306 00:18:46,800 --> 00:18:51,760 Speaker 1: Kick Cuttie like at like one in the afternoon was incredible. 307 00:18:51,840 --> 00:18:54,000 Speaker 1: It was just it was a total crapshoot, you know, 308 00:18:54,119 --> 00:18:56,919 Speaker 1: they just like it. Also, he was out of his 309 00:18:57,040 --> 00:18:59,240 Speaker 1: mind on I think the same drugs that the audience 310 00:18:59,320 --> 00:19:02,320 Speaker 1: was on, so it worked out pretty well. That's perfect 311 00:19:02,800 --> 00:19:05,160 Speaker 1: the scam, I think, Yeah, I mean, like I think 312 00:19:05,200 --> 00:19:07,879 Speaker 1: what's the benefit is, Like I like the idea of 313 00:19:07,880 --> 00:19:12,560 Speaker 1: like spending an entire like multiple days seeing just great 314 00:19:12,800 --> 00:19:15,639 Speaker 1: live music. But I think that's where things get a 315 00:19:15,640 --> 00:19:18,760 Speaker 1: little muddied, where like you run into the things that 316 00:19:19,280 --> 00:19:23,000 Speaker 1: you know, like would plague any sort of profit driven operation, 317 00:19:23,160 --> 00:19:26,120 Speaker 1: which is like they spent more money and like made 318 00:19:26,160 --> 00:19:28,800 Speaker 1: it very comfortable for everyone. It would be such a 319 00:19:28,800 --> 00:19:31,560 Speaker 1: great experience. But like, really it feels like the guiding 320 00:19:31,600 --> 00:19:35,560 Speaker 1: principle for music festivals. How many fucking sweaty kids can 321 00:19:35,600 --> 00:19:39,320 Speaker 1: we cram into this parking lot and and still pay 322 00:19:39,400 --> 00:19:41,520 Speaker 1: the artists what they need and still for us make 323 00:19:41,560 --> 00:19:44,280 Speaker 1: the money that we need to make as the organizers. Yes, 324 00:19:44,680 --> 00:19:47,240 Speaker 1: And that kind of leads into the astra world thing 325 00:19:47,240 --> 00:19:50,119 Speaker 1: where it's like that was just too many people with 326 00:19:50,359 --> 00:19:56,680 Speaker 1: too few strategies for how to control yeah or not 327 00:19:56,800 --> 00:19:59,600 Speaker 1: at all. Yeah, all right, let's take a quick break 328 00:19:59,600 --> 00:20:12,000 Speaker 1: and we'll come back. And here you're underrated and we're back, 329 00:20:12,480 --> 00:20:15,359 Speaker 1: and you know, we do like to ask our guests 330 00:20:15,440 --> 00:20:18,159 Speaker 1: to bounce out in the overrated What is something you 331 00:20:18,160 --> 00:20:21,679 Speaker 1: think is underrated? Well, there's no way to sound cool 332 00:20:21,720 --> 00:20:26,040 Speaker 1: about this. But there have been some great period dramas 333 00:20:26,119 --> 00:20:30,760 Speaker 1: coming to television recently. I did talk about The Great, 334 00:20:30,880 --> 00:20:34,200 Speaker 1: which is technically a period comedy, and I don't put 335 00:20:34,200 --> 00:20:36,520 Speaker 1: it on this list to The Great is something else, 336 00:20:36,680 --> 00:20:40,320 Speaker 1: you know whatever. I did watch it, but I really 337 00:20:40,359 --> 00:20:44,200 Speaker 1: liked this show on Amazon called Pursuit of Love with 338 00:20:44,680 --> 00:20:48,639 Speaker 1: I want to say Lily James or I always confused 339 00:20:48,640 --> 00:20:52,480 Speaker 1: the Lilies, but it's it's a beautiful period drama. This 340 00:20:52,560 --> 00:20:56,000 Speaker 1: other one, Howard's End was on Stars just came to Amazon, 341 00:20:56,960 --> 00:21:00,680 Speaker 1: and uh, I think period dramas had a bad rep 342 00:21:00,920 --> 00:21:06,120 Speaker 1: for being like for old people are boring, but they're beautiful. Wait, 343 00:21:06,200 --> 00:21:08,399 Speaker 1: Howard's End that was? That was like a film, right? 344 00:21:08,440 --> 00:21:11,440 Speaker 1: They made that a series. I mean, I know it's 345 00:21:11,440 --> 00:21:14,000 Speaker 1: a novel, but I mean, like they've really made it 346 00:21:14,000 --> 00:21:17,840 Speaker 1: a series, and it's it's a Tom from Succession, isn't it? 347 00:21:18,520 --> 00:21:22,280 Speaker 1: What I know? Yeah, it's hard for me to see 348 00:21:22,359 --> 00:21:26,080 Speaker 1: him like him as him, like just doing roles where 349 00:21:26,080 --> 00:21:28,919 Speaker 1: he's speaking with his like normal voice in a British accent, 350 00:21:29,600 --> 00:21:33,320 Speaker 1: and I can only imagine what just having all that 351 00:21:33,400 --> 00:21:35,800 Speaker 1: Tom stuff rattling through my head and trying to see 352 00:21:35,880 --> 00:21:39,400 Speaker 1: him be like was he like Paul Wilcox and Howard's 353 00:21:39,640 --> 00:21:43,199 Speaker 1: or something, you know, yeah, it acts, yes he was, 354 00:21:43,400 --> 00:21:46,760 Speaker 1: and it works because he plays a snob in that too, 355 00:21:46,880 --> 00:21:49,760 Speaker 1: and he has that snob energy because he wasn't Pride 356 00:21:49,760 --> 00:21:52,800 Speaker 1: and Prejudice too as Mr Darcy, so he just plays 357 00:21:52,840 --> 00:21:58,240 Speaker 1: like snob, like flogged snob. Very well. That was supposed 358 00:21:58,240 --> 00:22:02,359 Speaker 1: to alight, Like when that pres and Prejudice came out, 359 00:22:02,400 --> 00:22:04,680 Speaker 1: like it was a big deal and like it was 360 00:22:04,720 --> 00:22:06,720 Speaker 1: posted that, people were like, He's the next big thing, 361 00:22:06,760 --> 00:22:10,040 Speaker 1: and then it didn't really like blow up that way. 362 00:22:10,119 --> 00:22:12,800 Speaker 1: His career didn't blow that way. And then now like 363 00:22:13,320 --> 00:22:18,120 Speaker 1: just by being a British person who can see all 364 00:22:18,119 --> 00:22:20,880 Speaker 1: the things that are wrong with America and like channel 365 00:22:20,960 --> 00:22:24,680 Speaker 1: them as a business person. On Succession and another indie 366 00:22:24,720 --> 00:22:28,520 Speaker 1: movie last year that I have now twice blanked on 367 00:22:28,520 --> 00:22:33,040 Speaker 1: the name of. I think it's in The Assistant. He 368 00:22:33,119 --> 00:22:36,480 Speaker 1: was great and again played kind of not in that right. Yeah, 369 00:22:36,720 --> 00:22:40,600 Speaker 1: so yeah, dope. Wait, so I'm sorry, what's Pursuit of Love? 370 00:22:40,920 --> 00:22:43,679 Speaker 1: What's that about? I think it's based on a book, 371 00:22:43,800 --> 00:22:46,600 Speaker 1: but it is this series and it's what's his name 372 00:22:46,640 --> 00:22:49,439 Speaker 1: from the affair who had literally like had an affair 373 00:22:49,520 --> 00:22:52,600 Speaker 1: on that show in real life too. Well, now I'm 374 00:22:52,600 --> 00:22:54,960 Speaker 1: blanking on his name, but he's the male lead of 375 00:22:54,960 --> 00:23:02,400 Speaker 1: the affair, right, Andrew Scott. I don't know from the wire? Yes? Yes? 376 00:23:02,600 --> 00:23:06,400 Speaker 1: How can I forget the wire? Yes? So he isn't it? 377 00:23:06,560 --> 00:23:13,520 Speaker 1: And it's just this very sweet, weirdly sex positive for 378 00:23:13,640 --> 00:23:17,000 Speaker 1: a period drama show. But it's not like Sophy. It's 379 00:23:17,040 --> 00:23:20,879 Speaker 1: just like really earnest and that ship made me fucking 380 00:23:20,920 --> 00:23:24,159 Speaker 1: weep like a baby at the end. Yeah, and no 381 00:23:24,200 --> 00:23:25,920 Speaker 1: one is talking about it, and I'm like, that was 382 00:23:26,000 --> 00:23:28,920 Speaker 1: a great show. We're just gonna ignore it. Too many 383 00:23:28,960 --> 00:23:30,919 Speaker 1: shows out like it's wild. When you said that, I'm like, 384 00:23:30,960 --> 00:23:33,960 Speaker 1: I've maybe When you said these period dramas that are out, 385 00:23:33,960 --> 00:23:35,440 Speaker 1: I was like, well, I think I've heard of what's 386 00:23:35,440 --> 00:23:36,840 Speaker 1: out there, and I was just like, I have not 387 00:23:36,880 --> 00:23:38,720 Speaker 1: heard of both of those songs. Now, if I come 388 00:23:38,720 --> 00:23:40,680 Speaker 1: at you with an underrated show, I'm gonna give you 389 00:23:40,720 --> 00:23:45,120 Speaker 1: an underrated show. Which period are we talking about? Like? 390 00:23:45,160 --> 00:23:48,720 Speaker 1: What part of history are we It is World War One, 391 00:23:48,920 --> 00:23:55,240 Speaker 1: I believe between yeah that is, and I don't Howard's 392 00:23:55,359 --> 00:23:59,480 Speaker 1: end is late eighteen hundreds, maybe the same or maybe 393 00:23:59,480 --> 00:24:02,719 Speaker 1: a literal. I don't know. If I don't know, I 394 00:24:02,760 --> 00:24:04,840 Speaker 1: get a little confused. You know, there's a time where 395 00:24:04,840 --> 00:24:06,800 Speaker 1: all the clothes look like the same A little watch, 396 00:24:08,800 --> 00:24:14,120 Speaker 1: we already got the yeah exactly. They got that big 397 00:24:14,240 --> 00:24:18,480 Speaker 1: underskirt that they wear to make Oh yeah, that's World 398 00:24:18,560 --> 00:24:24,919 Speaker 1: War one or something more. There. They got cars around there, right. 399 00:24:25,000 --> 00:24:29,200 Speaker 1: Pursuit of Love does sound like a Netflix stating reality show. Yeah, 400 00:24:29,600 --> 00:24:33,640 Speaker 1: I think that. Somebody to talk about that and been like, oh, 401 00:24:33,720 --> 00:24:39,560 Speaker 1: another Netflix dating show that love is Blind, that childless, 402 00:24:39,600 --> 00:24:43,440 Speaker 1: loveless millennials on the brink of their forties. There you go. Yeah, 403 00:24:43,840 --> 00:24:47,720 Speaker 1: the Pursuit of Love. Oh god, that's depressing. Well, speaking 404 00:24:47,720 --> 00:24:54,560 Speaker 1: about depressing, let's talk about inflation. So it's the buzzword 405 00:24:54,720 --> 00:24:57,480 Speaker 1: of the season that's been used to explain everything from 406 00:24:57,480 --> 00:25:00,200 Speaker 1: the labor shortage to why turkeys are more ex sense 407 00:25:00,240 --> 00:25:05,199 Speaker 1: of this year. And yeah, it's just a convenient. I 408 00:25:05,240 --> 00:25:07,480 Speaker 1: mean it's happening. First of all, it is happening. Things 409 00:25:07,480 --> 00:25:11,720 Speaker 1: aren't getting more expensive. So the explanation that we're getting though, 410 00:25:12,000 --> 00:25:17,600 Speaker 1: is that it is all because of the labor class 411 00:25:17,640 --> 00:25:20,760 Speaker 1: being paid more. Yeah, that's one if you if you 412 00:25:20,800 --> 00:25:25,320 Speaker 1: follow Stephanie Rule or if you're watching Tucker Carlson, it's 413 00:25:25,359 --> 00:25:28,400 Speaker 1: just to be like Joe Byron is trying to make 414 00:25:28,440 --> 00:25:32,439 Speaker 1: you poor, or if and or that, you know, at 415 00:25:32,480 --> 00:25:35,159 Speaker 1: the other at the other part of it. Corporations are 416 00:25:35,200 --> 00:25:37,360 Speaker 1: also kind of loving it too, but on a much 417 00:25:37,440 --> 00:25:40,639 Speaker 1: more subtle level because they're loving it because they're using 418 00:25:40,680 --> 00:25:43,920 Speaker 1: this to actually just raise prices on people, because they 419 00:25:44,000 --> 00:25:47,200 Speaker 1: can't because they see people are paying for it. Very cynically, 420 00:25:47,440 --> 00:25:51,159 Speaker 1: nothing to do with stressed supply chains. They're just like, yo, 421 00:25:51,240 --> 00:25:53,000 Speaker 1: let's reo good. Let's see if we can squeeze out 422 00:25:53,000 --> 00:25:55,360 Speaker 1: a couple of percentage points. Because this is a very 423 00:25:55,359 --> 00:25:58,679 Speaker 1: interesting statistic that was in the Wall Street Journal. Nearly 424 00:25:58,720 --> 00:26:01,920 Speaker 1: two out of three of the biggest US publicly traded 425 00:26:02,359 --> 00:26:05,640 Speaker 1: companies had larger profit margins this year than they did 426 00:26:05,680 --> 00:26:09,399 Speaker 1: in twenty nineteen. Okay, and that means nearly one hundred 427 00:26:09,440 --> 00:26:14,560 Speaker 1: of these massive corporations report profits that are fifty percent 428 00:26:14,760 --> 00:26:22,320 Speaker 1: above profit margins from twenty nineteen, pre pandemic. So they're 429 00:26:22,359 --> 00:26:26,520 Speaker 1: making many right now, and a lot of it is 430 00:26:26,560 --> 00:26:29,320 Speaker 1: being revealed in this article in the New Republic. You know, 431 00:26:29,359 --> 00:26:32,199 Speaker 1: people were sitting in on shareholder calls just to be like, 432 00:26:32,280 --> 00:26:34,600 Speaker 1: I wonder how this is being message to the people 433 00:26:34,600 --> 00:26:36,919 Speaker 1: that own the stock of some of these companies, and 434 00:26:36,960 --> 00:26:40,120 Speaker 1: what they're hearing is things like from this article quote 435 00:26:40,240 --> 00:26:43,439 Speaker 1: in these calls, business leaders employee fancy financial lingo to 436 00:26:43,480 --> 00:26:46,920 Speaker 1: tell large shareholders how they are engaging in quote pricing 437 00:26:47,000 --> 00:26:51,320 Speaker 1: improvements and quote successful pricing strategies. They tell you they 438 00:26:51,359 --> 00:26:56,960 Speaker 1: are experiencing customer quote elasticities to price increases at historically 439 00:26:56,960 --> 00:26:59,840 Speaker 1: low levels. When you decode what they're saying, it's nothing 440 00:27:00,080 --> 00:27:02,719 Speaker 1: us than a U fork articulation that they're able to 441 00:27:02,760 --> 00:27:08,040 Speaker 1: pass off price increases to consumers. We'll stop. And there's like, 442 00:27:08,280 --> 00:27:11,040 Speaker 1: you know, on one hand, you'll have places like like 443 00:27:11,040 --> 00:27:13,199 Speaker 1: in the stock prices are going up because of this. 444 00:27:13,280 --> 00:27:15,520 Speaker 1: They're like loving, They're like, oh my god, wait what 445 00:27:15,760 --> 00:27:18,680 Speaker 1: And you're making more profits. This is fantastic. You look 446 00:27:18,720 --> 00:27:21,120 Speaker 1: at a company like Target who had come out and said, 447 00:27:21,320 --> 00:27:23,520 Speaker 1: you know, we're actually not going to be raising prices, 448 00:27:23,520 --> 00:27:25,760 Speaker 1: like we're able to kind of maintain what we have 449 00:27:25,960 --> 00:27:29,400 Speaker 1: and have like a healthy financial outlook by not raising prices, 450 00:27:29,720 --> 00:27:33,040 Speaker 1: and shareholders started dumping their stock and sending the stock 451 00:27:33,040 --> 00:27:34,720 Speaker 1: price down. So people were like, well, I don't want 452 00:27:34,720 --> 00:27:36,320 Speaker 1: to be on board with some company that's not going 453 00:27:36,359 --> 00:27:39,080 Speaker 1: to raise their prices to make more money, You fucking dumb. 454 00:27:41,880 --> 00:27:45,359 Speaker 1: And you know there's there's even on CNBC Jim Kramer 455 00:27:45,440 --> 00:27:48,360 Speaker 1: was talking about how like home Depot and Lows, they're 456 00:27:48,400 --> 00:27:50,919 Speaker 1: raising prices because they don't give a funk. And also 457 00:27:51,240 --> 00:27:54,359 Speaker 1: they're literally in the mentality of who's gonna stop me? Boo, 458 00:27:54,560 --> 00:27:56,880 Speaker 1: like who gonna check me? Because the two of us 459 00:27:57,080 --> 00:27:59,919 Speaker 1: run the whole ship. This is from Jim Kramer talking 460 00:28:00,000 --> 00:28:02,520 Speaker 1: about how these two companies, Lows and Home Depot can 461 00:28:02,720 --> 00:28:06,639 Speaker 1: quote do no wrong because they're passing on rising costs 462 00:28:06,640 --> 00:28:09,200 Speaker 1: to the public, and the public has no choice because 463 00:28:09,240 --> 00:28:13,960 Speaker 1: these two chains have single handedly wiped out the competition already. 464 00:28:14,080 --> 00:28:17,280 Speaker 1: So is what we're seeing, like the you know, the 465 00:28:17,320 --> 00:28:22,119 Speaker 1: pandemic caused the government to send out age two people 466 00:28:22,160 --> 00:28:26,400 Speaker 1: have lost their jobs, more people had more like government 467 00:28:26,480 --> 00:28:30,440 Speaker 1: assistance than they've had in a long time. Is that 468 00:28:30,560 --> 00:28:34,320 Speaker 1: where the quote unquote elasticity goes comes from. And like 469 00:28:34,680 --> 00:28:38,600 Speaker 1: the government aid those payments that we're supposed to like 470 00:28:38,640 --> 00:28:41,800 Speaker 1: help people get through rainy day, like the are just 471 00:28:41,880 --> 00:28:45,920 Speaker 1: immediately getting like hoovered up by Walmart, and like all 472 00:28:45,920 --> 00:28:49,920 Speaker 1: those corporations like yeah, yeah, but I mean, like, but 473 00:28:50,000 --> 00:28:52,520 Speaker 1: you did have a lot of Benny's you know, benefits 474 00:28:52,640 --> 00:28:55,160 Speaker 1: run out and for certain people all over the country 475 00:28:55,280 --> 00:28:58,800 Speaker 1: starting months ago. So even now, like just even when 476 00:28:58,880 --> 00:29:01,040 Speaker 1: we talked about that one dome see an npiece for 477 00:29:01,240 --> 00:29:04,400 Speaker 1: like my milk's ninety bucks a gallon now and it wasn't. 478 00:29:04,800 --> 00:29:08,760 Speaker 1: But I think they really like this idea that prices 479 00:29:08,840 --> 00:29:10,960 Speaker 1: It's it's just like, that's the thing about this, there's 480 00:29:11,000 --> 00:29:14,600 Speaker 1: a lot of nebulous data that is able to be 481 00:29:14,680 --> 00:29:17,400 Speaker 1: sort of harnessed for the aims of at this point 482 00:29:17,440 --> 00:29:19,560 Speaker 1: corporations because I think at the end of the day, 483 00:29:19,640 --> 00:29:23,640 Speaker 1: more than like obviously the wealth extraction from consumers is 484 00:29:23,680 --> 00:29:26,600 Speaker 1: a huge thing for them, but more importantly, this is 485 00:29:26,640 --> 00:29:30,400 Speaker 1: feeding this narrative about what it means with Biden in 486 00:29:30,520 --> 00:29:32,600 Speaker 1: office and what he aims to do with some of 487 00:29:32,600 --> 00:29:36,040 Speaker 1: these infrastructure, like with build back better a lot of that, 488 00:29:36,120 --> 00:29:38,080 Speaker 1: Like the financing from that is to be like, yeah, 489 00:29:38,120 --> 00:29:41,720 Speaker 1: we just gotta charge corporations like they're fair share and taxes. 490 00:29:41,760 --> 00:29:43,360 Speaker 1: That's how we pay for a lot of this ship. 491 00:29:43,920 --> 00:29:47,800 Speaker 1: So this is helping them create a little more instability 492 00:29:47,880 --> 00:29:51,000 Speaker 1: and uncertainty and consumers by raising their prices so they 493 00:29:51,120 --> 00:29:53,480 Speaker 1: make more money, while also saying, hey, man, if Joe 494 00:29:53,520 --> 00:29:55,960 Speaker 1: Byron is going to start passing all these other laws, 495 00:29:56,000 --> 00:29:58,640 Speaker 1: inflation is going to be even wilder. Hold onto your 496 00:29:58,680 --> 00:30:01,880 Speaker 1: whole butt and pay a check. And so that's also 497 00:30:01,960 --> 00:30:04,040 Speaker 1: their aim at sort of being like, now we can 498 00:30:04,120 --> 00:30:07,920 Speaker 1: kind of stoke and anti infrastructure movement that will protect 499 00:30:08,040 --> 00:30:12,120 Speaker 1: our tax rates. Right. It's like inflation has always been 500 00:30:12,120 --> 00:30:14,720 Speaker 1: politicized because it's what they were saying before the stimulus 501 00:30:14,760 --> 00:30:17,120 Speaker 1: path that first stimulus, like, oh, it can't pass the 502 00:30:17,160 --> 00:30:20,920 Speaker 1: stimulus package because it will spike inflation and that's bad. 503 00:30:21,040 --> 00:30:23,640 Speaker 1: And then all these economists were like, no, it's not 504 00:30:23,760 --> 00:30:29,360 Speaker 1: really like that, like they're overblowing this risk, right. But 505 00:30:29,400 --> 00:30:31,200 Speaker 1: I think that's where you see like sort of like 506 00:30:31,240 --> 00:30:34,200 Speaker 1: the vested interests. When we have debates like this of 507 00:30:34,280 --> 00:30:37,680 Speaker 1: like do we help people or do we raise corporate taxes, 508 00:30:37,720 --> 00:30:39,800 Speaker 1: and there are many people who are just on the 509 00:30:39,920 --> 00:30:44,080 Speaker 1: human ground level, we're like, yes, please, that sounds great. Unfortunately, 510 00:30:44,440 --> 00:30:46,880 Speaker 1: the messaging and the access to all the levers of 511 00:30:46,920 --> 00:30:50,520 Speaker 1: like mainstream communication have vested interests in the same way, 512 00:30:50,560 --> 00:30:53,000 Speaker 1: we're like, we're not paying more fucking taxes. You're kidding me. 513 00:30:53,040 --> 00:30:56,000 Speaker 1: We're just gonna talk about this inflation and start banging 514 00:30:56,000 --> 00:30:59,600 Speaker 1: that drum and look the other way. Yeah, there's also 515 00:30:59,720 --> 00:31:02,800 Speaker 1: just with regards to the supply chain. An explanation I 516 00:31:02,800 --> 00:31:07,040 Speaker 1: actually heard on the it could happen here Daily showy. 517 00:31:07,160 --> 00:31:12,880 Speaker 1: They interviewed somebody who works at a like soda manufacturing 518 00:31:13,040 --> 00:31:18,440 Speaker 1: plant and has worked in various manufacturing jobs like over 519 00:31:18,440 --> 00:31:21,080 Speaker 1: the past four or five years. They were talking about 520 00:31:21,080 --> 00:31:25,120 Speaker 1: how the big change that's happened is that corporations have 521 00:31:25,240 --> 00:31:28,760 Speaker 1: now embraced this thing called just in time production, which 522 00:31:28,800 --> 00:31:33,520 Speaker 1: means that right, what, like you don't start producing something 523 00:31:33,800 --> 00:31:37,800 Speaker 1: until there's a demand for it, and like you don't. 524 00:31:38,280 --> 00:31:40,959 Speaker 1: It's it's like there's no there's no you're not like 525 00:31:41,040 --> 00:31:44,920 Speaker 1: storing anything. There's no overhead. It's just like, okay, so 526 00:31:45,320 --> 00:31:47,640 Speaker 1: they ran out of this and we're hearing they need more. 527 00:31:47,840 --> 00:31:53,520 Speaker 1: Now we produce it, and like that basically creates It's 528 00:31:53,600 --> 00:31:57,040 Speaker 1: cheaper for the companies. It gives them better margins because 529 00:31:57,040 --> 00:32:01,240 Speaker 1: there's no overhead and there's no like producing something that 530 00:32:01,280 --> 00:32:05,360 Speaker 1: then doesn't get sold. The problem is that there's no 531 00:32:05,800 --> 00:32:11,240 Speaker 1: like elasticity in the supply chain, so like you don't 532 00:32:11,280 --> 00:32:15,920 Speaker 1: have extras. If suddenly there's a a bunch of you know, 533 00:32:16,000 --> 00:32:19,840 Speaker 1: this person worked as a casket manufacturer in the past, 534 00:32:19,880 --> 00:32:22,960 Speaker 1: so if there's suddenly a need for casket suddenly, the 535 00:32:23,000 --> 00:32:25,840 Speaker 1: way that they deal with that is they just worked 536 00:32:25,880 --> 00:32:31,520 Speaker 1: people inhumanely around the clock until like they can get 537 00:32:31,560 --> 00:32:37,120 Speaker 1: that supply met. It's once again, just the values of 538 00:32:37,200 --> 00:32:41,760 Speaker 1: the market of quarterly earnings, calls of CEOs who have 539 00:32:42,000 --> 00:32:46,120 Speaker 1: just extracted the humanity from the workers and from the 540 00:32:46,200 --> 00:32:50,520 Speaker 1: laborers and turned it into just you know, values on 541 00:32:50,560 --> 00:32:54,479 Speaker 1: a spreadsheet. And you know, that is what economics is. 542 00:32:54,760 --> 00:32:58,239 Speaker 1: That's what the modern version of capitalism is. And like 543 00:32:58,360 --> 00:33:02,480 Speaker 1: market logic is just like remove the humanity, think of 544 00:33:02,520 --> 00:33:07,680 Speaker 1: everything as like the numbers are the numbers good? Yeah, yeah, 545 00:33:07,840 --> 00:33:10,840 Speaker 1: so that's not great, But again it's it's just the 546 00:33:10,920 --> 00:33:13,320 Speaker 1: overall system. It's the same overall system that we're talking 547 00:33:13,360 --> 00:33:17,200 Speaker 1: about with regards to the inflation, right, And I mean 548 00:33:17,200 --> 00:33:20,000 Speaker 1: at a certain point, you know, like you're you're slowly 549 00:33:20,000 --> 00:33:23,600 Speaker 1: seeing more and more people take up for themselves and 550 00:33:23,800 --> 00:33:28,360 Speaker 1: organize themselves to have a better outcomes for them you know, 551 00:33:28,440 --> 00:33:31,400 Speaker 1: for them themselves. Yet again, to use that word, you know, 552 00:33:31,520 --> 00:33:34,080 Speaker 1: as it relates to their employment and what benefits they get. 553 00:33:34,560 --> 00:33:37,320 Speaker 1: And I can only see I don't think just in 554 00:33:37,440 --> 00:33:42,080 Speaker 1: time production habits are going to necessarily extinguish those flames. 555 00:33:42,160 --> 00:33:45,120 Speaker 1: I feel like it's I'm curious what they're looking at 556 00:33:45,160 --> 00:33:48,840 Speaker 1: two like, because at this point, all the forecasting that happens, 557 00:33:48,840 --> 00:33:51,880 Speaker 1: whether it's like risk they're worth taking because let's say like, well, 558 00:33:51,920 --> 00:33:53,600 Speaker 1: this thing is faulty and we might get sued, but 559 00:33:53,640 --> 00:33:55,240 Speaker 1: we can afford it as long as we make enough 560 00:33:55,240 --> 00:33:58,400 Speaker 1: money up front. Like what kind of stuff they're already 561 00:33:58,400 --> 00:34:01,400 Speaker 1: looking at in terms of the unrest will be like 562 00:34:01,440 --> 00:34:04,479 Speaker 1: with their employees and how to navigate that and see like, 563 00:34:04,480 --> 00:34:07,120 Speaker 1: well we could scab it up for this time, just 564 00:34:07,320 --> 00:34:11,200 Speaker 1: skate through Q four and then calling the Pinkerton's Well, 565 00:34:11,239 --> 00:34:13,799 Speaker 1: the really insidious thing that he was talking about is 566 00:34:13,880 --> 00:34:18,759 Speaker 1: that by making it such a like flexible system where 567 00:34:18,800 --> 00:34:21,600 Speaker 1: you need to like move move around and like, Okay, 568 00:34:21,640 --> 00:34:24,680 Speaker 1: I'm gonna put this person on on this job, it 569 00:34:24,760 --> 00:34:27,080 Speaker 1: actually makes like he was saying that he's in a 570 00:34:27,200 --> 00:34:29,319 Speaker 1: union shop, but the people who are in a non 571 00:34:29,440 --> 00:34:34,200 Speaker 1: union shop, actually we're in slightly better working conditions as 572 00:34:34,239 --> 00:34:37,279 Speaker 1: of this moment because they had flexibility, but that's all 573 00:34:37,360 --> 00:34:41,080 Speaker 1: because of the inhumane orders coming down, Like they're better 574 00:34:41,120 --> 00:34:43,880 Speaker 1: able to deal with the inhumane orders coming down. So 575 00:34:43,920 --> 00:34:49,759 Speaker 1: it's like the just in time production is creating a 576 00:34:49,920 --> 00:34:54,359 Speaker 1: system where like it makes it harder for people who 577 00:34:54,400 --> 00:34:58,920 Speaker 1: are unionized, which is fucking bullshit, right, Yeah, that it 578 00:34:59,000 --> 00:35:02,560 Speaker 1: does feel like that's a trend though, Like I don't 579 00:35:03,320 --> 00:35:06,480 Speaker 1: like it's harder to be unionized working for a corporation 580 00:35:06,600 --> 00:35:10,080 Speaker 1: like Amazon. And I feel like Walmart was maybe the 581 00:35:10,120 --> 00:35:12,120 Speaker 1: writing on the wall where it was like Walmart was 582 00:35:12,520 --> 00:35:15,040 Speaker 1: union busting and people are trying to stop Walmart's from 583 00:35:15,080 --> 00:35:17,279 Speaker 1: being built in their town. Now it's like, fuck it, 584 00:35:17,560 --> 00:35:19,400 Speaker 1: we don't need stores in our towns. We can just 585 00:35:19,440 --> 00:35:25,520 Speaker 1: have Amazon, right yeah, yeah, well this is uh. I mean, 586 00:35:25,560 --> 00:35:29,759 Speaker 1: we're living in a very historic time, especially, like even 587 00:35:29,840 --> 00:35:32,479 Speaker 1: more than ever. I can't. I just look at things 588 00:35:32,480 --> 00:35:35,839 Speaker 1: and I'm like, how do these people with like who 589 00:35:35,840 --> 00:35:38,880 Speaker 1: have all the capital really think that at a certain 590 00:35:38,920 --> 00:35:41,719 Speaker 1: point like that, that you can just run someone down 591 00:35:41,800 --> 00:35:43,160 Speaker 1: to the point they're like, Okay, I'll just die on 592 00:35:43,200 --> 00:35:46,480 Speaker 1: the factory floor. Yeah, Like I mean, and it does 593 00:35:46,600 --> 00:35:50,520 Speaker 1: happen places, absolutely, but at a certain point enough people 594 00:35:50,520 --> 00:35:53,880 Speaker 1: are going to really, Like, I'm just it's it's always 595 00:35:53,880 --> 00:35:56,759 Speaker 1: fascinating to see how disconnected those people can be from 596 00:35:56,800 --> 00:35:59,000 Speaker 1: like what the what the actual reality is of the 597 00:35:59,080 --> 00:36:03,400 Speaker 1: situation there. It's fascinating. But the show Succession exists for 598 00:36:03,440 --> 00:36:06,759 Speaker 1: a reason and it's beautiful, well run TV. But I mean, 599 00:36:06,800 --> 00:36:10,440 Speaker 1: it's like, you don't have exposure. That's our stratisy, like 600 00:36:10,440 --> 00:36:15,000 Speaker 1: our stratified society where you don't have exposure to the 601 00:36:15,000 --> 00:36:19,080 Speaker 1: working class if you're in that corporate right, Yeah, you're 602 00:36:19,239 --> 00:36:24,880 Speaker 1: the poorest person, you know, is what? Greg? Yeah, you 603 00:36:24,920 --> 00:36:29,120 Speaker 1: know what I mean? Yeah, And you find his problems amusing, 604 00:36:29,440 --> 00:36:31,640 Speaker 1: right right, right right, and you laugh about it. And 605 00:36:31,719 --> 00:36:37,400 Speaker 1: he's only poor because his grandpa doesn't want to give him. Yeah, 606 00:36:37,560 --> 00:36:40,239 Speaker 1: Like what one of the things that I've just been like, 607 00:36:40,320 --> 00:36:44,239 Speaker 1: I'm continuing to think over. I'm reading that book Debt 608 00:36:44,239 --> 00:36:47,560 Speaker 1: by David Graber, which is the history of its basically 609 00:36:47,600 --> 00:36:51,520 Speaker 1: a new history of economic systems like throughout human history. 610 00:36:51,840 --> 00:36:54,239 Speaker 1: Prior to this, most of my understanding of like how 611 00:36:54,360 --> 00:36:58,400 Speaker 1: economics works was based on economists, you know, like people 612 00:36:58,440 --> 00:37:02,160 Speaker 1: who study economics and like subscribe to that Adam Smith, 613 00:37:02,520 --> 00:37:05,800 Speaker 1: the idea that like, well everybody is a financial actor 614 00:37:05,920 --> 00:37:09,960 Speaker 1: who was like acting in their own self interest. And 615 00:37:10,040 --> 00:37:14,719 Speaker 1: this book argues that like that is actually like that 616 00:37:15,080 --> 00:37:19,839 Speaker 1: ideal of humans just acting in self interest, being like 617 00:37:20,000 --> 00:37:23,400 Speaker 1: the most basic thing was like introduced by Hobbs and 618 00:37:23,520 --> 00:37:27,200 Speaker 1: Leviathan was seen as like super cynical at the time 619 00:37:27,200 --> 00:37:30,000 Speaker 1: that it was introduced and like not an accurate description 620 00:37:30,040 --> 00:37:32,840 Speaker 1: of humanity because we existed in like small communities that 621 00:37:32,880 --> 00:37:36,360 Speaker 1: helped each other out. But within like a hundred years, 622 00:37:36,960 --> 00:37:43,680 Speaker 1: it was the default like assumption because it is so profitable. 623 00:37:43,960 --> 00:37:48,080 Speaker 1: It's so it's so helpful to people to make money, 624 00:37:48,440 --> 00:37:52,440 Speaker 1: and it's going to be assumed, and it like makes 625 00:37:52,440 --> 00:37:55,960 Speaker 1: a sort of shrewd logic or a sort of shrewd sense, 626 00:37:56,080 --> 00:37:58,640 Speaker 1: and it like feels like the sort of thing that's 627 00:37:58,680 --> 00:38:03,000 Speaker 1: like tough and like realist, but it's actually not how 628 00:38:03,120 --> 00:38:07,839 Speaker 1: humanity has been. For the vast, vast majority of our 629 00:38:07,960 --> 00:38:11,160 Speaker 1: history is a species. For the majority of our history 630 00:38:11,200 --> 00:38:14,080 Speaker 1: is species. We've been you know that the idea that 631 00:38:14,120 --> 00:38:17,080 Speaker 1: you would just extract as much value from humans as 632 00:38:17,080 --> 00:38:22,120 Speaker 1: he possibly can is rightly seen as like colonizing. It's 633 00:38:22,160 --> 00:38:28,440 Speaker 1: the Yeah, it's the foundation of colonizing. Yeah, Oh, here's 634 00:38:28,440 --> 00:38:30,640 Speaker 1: this group I can push him around. What's this now, 635 00:38:30,760 --> 00:38:34,040 Speaker 1: they're they're they're making me money. Great, move on to 636 00:38:34,080 --> 00:38:36,880 Speaker 1: the next town of weeks and I'll rinse and repeat 637 00:38:36,920 --> 00:38:40,439 Speaker 1: and to dehumanizing the process. All right, let's take a 638 00:38:40,560 --> 00:38:53,240 Speaker 1: quick break and we'll be right back. And we're back. 639 00:38:54,320 --> 00:38:58,120 Speaker 1: What an eventful break. We just had a superroducer Justin 640 00:38:58,480 --> 00:39:02,120 Speaker 1: pitched us his predator or investing firm just in Time. 641 00:39:02,480 --> 00:39:06,000 Speaker 1: That's all I'll say. I won't tell you all his blueprint. 642 00:39:06,400 --> 00:39:09,200 Speaker 1: But apparently when your name is Justin, do you hear 643 00:39:09,239 --> 00:39:13,000 Speaker 1: that pun a lot? And I didn't think, yeah, a 644 00:39:13,360 --> 00:39:16,680 Speaker 1: look who it is? And just in Time? I just 645 00:39:16,880 --> 00:39:19,560 Speaker 1: I there was actually, uh, there was a like a 646 00:39:19,640 --> 00:39:23,040 Speaker 1: Stanford student who created like a streaming web video called 647 00:39:23,080 --> 00:39:25,040 Speaker 1: just in Time. And I remember that's where you used 648 00:39:25,040 --> 00:39:29,440 Speaker 1: to watch a ton of pirated sports. So it's definitely 649 00:39:29,480 --> 00:39:33,880 Speaker 1: a well treaded name. Yeah. It's also the spec script 650 00:39:33,960 --> 00:39:37,759 Speaker 1: for a sequel to Nick of Time that I've but 651 00:39:37,800 --> 00:39:40,359 Speaker 1: I've written. Have you guys seen Nick of Time? That's 652 00:39:40,360 --> 00:39:44,600 Speaker 1: the one Christopher Walking and his most over the top 653 00:39:44,680 --> 00:39:52,080 Speaker 1: Christal something yeah or something. Yeah, it's a it's like 654 00:39:52,200 --> 00:39:56,560 Speaker 1: my friends in college with the most quoted movie like 655 00:39:56,600 --> 00:40:01,720 Speaker 1: back and forth, quoting Nick of Time constantly. That sounds 656 00:40:01,760 --> 00:40:03,319 Speaker 1: like you guys were fun to hang out without a 657 00:40:03,360 --> 00:40:08,560 Speaker 1: bar at the table who had not seen that movie. 658 00:40:08,760 --> 00:40:10,600 Speaker 1: There's a group of dudes that are just like by 659 00:40:10,640 --> 00:40:14,680 Speaker 1: themselves doing inside jokes the whole time. They're the hottest 660 00:40:14,680 --> 00:40:19,040 Speaker 1: guys at this bar. Also, so, Miles, you were saying 661 00:40:19,080 --> 00:40:22,440 Speaker 1: you got funny jokes about your name being Miles, Like, 662 00:40:22,600 --> 00:40:24,840 Speaker 1: it's just it's colomb, It's just that it's just like 663 00:40:24,960 --> 00:40:30,279 Speaker 1: metrics ship or or you hilarious. I have to say 664 00:40:30,600 --> 00:40:33,520 Speaker 1: pretty good. Yeah, they are exactly and they're really effective 665 00:40:33,560 --> 00:40:36,680 Speaker 1: because they're effective at demonstrating you don't know shit about 666 00:40:36,680 --> 00:40:41,600 Speaker 1: being funny. Damn did someone go Miles, are you inches? 667 00:40:41,800 --> 00:40:45,239 Speaker 1: And then you were like, I don't. I remember like 668 00:40:45,320 --> 00:40:48,640 Speaker 1: in like third grade there was like they were like 669 00:40:48,640 --> 00:40:51,640 Speaker 1: like witty teachers would begin to like do stuff like that. 670 00:40:52,000 --> 00:40:54,160 Speaker 1: I don't even know. Dude's just go on with the 671 00:40:54,239 --> 00:40:56,319 Speaker 1: lesson about how if I don't know, if I can't 672 00:40:56,320 --> 00:40:59,799 Speaker 1: recite this Bible verse, I'm gonna get an as Yeah. Unfortunately, 673 00:41:00,040 --> 00:41:03,160 Speaker 1: as a child named Jack at a time when not 674 00:41:03,239 --> 00:41:06,480 Speaker 1: many children were named Jack, I never got anything about 675 00:41:06,680 --> 00:41:14,920 Speaker 1: jacking offer my uncle Jack. Did you ever experience fifth grade? Yeah? No, 676 00:41:14,960 --> 00:41:18,760 Speaker 1: I'm joking. It was all anybody okay, good, good, because 677 00:41:18,800 --> 00:41:21,359 Speaker 1: even I mean, they got creative with my name. They 678 00:41:21,400 --> 00:41:24,319 Speaker 1: skipped my first name and went straight to my second name. 679 00:41:24,400 --> 00:41:27,600 Speaker 1: My last name is said Selena' Selena's my penis, And 680 00:41:27,640 --> 00:41:32,960 Speaker 1: I was like, but you know, it was it was. 681 00:41:33,280 --> 00:41:35,600 Speaker 1: It was brutal out there. They can't even hit you 682 00:41:35,600 --> 00:41:39,160 Speaker 1: with like a Selena type joke. Yeah you think, But 683 00:41:39,200 --> 00:41:41,560 Speaker 1: I didn't get those jokes until I turned like twenty 684 00:41:41,560 --> 00:41:45,439 Speaker 1: six and someone was like, anything for Selena? Yeah right, 685 00:41:45,480 --> 00:41:47,600 Speaker 1: I wonder, Yeah, maybe that's like a since you're a 686 00:41:47,600 --> 00:41:50,360 Speaker 1: little bit younger, because we were all in on anything Selena. 687 00:41:50,440 --> 00:41:52,520 Speaker 1: But I feel like that wave took a second to 688 00:41:52,560 --> 00:41:55,080 Speaker 1: come back around again. I mean, I was watching the 689 00:41:55,200 --> 00:41:59,320 Speaker 1: j Lo movie on whatever, like VH one when it 690 00:41:59,360 --> 00:42:02,239 Speaker 1: would play at three day, but no one got there 691 00:42:02,280 --> 00:42:04,040 Speaker 1: until later in my life. And now I get it 692 00:42:04,120 --> 00:42:07,719 Speaker 1: every few days. Every few days someone's like Selina's anything 693 00:42:07,760 --> 00:42:14,960 Speaker 1: for Selena's And I'm like, please anything else with? Yeah? Alright, Well, 694 00:42:15,200 --> 00:42:19,920 Speaker 1: speaking of our childhood's, many are returning to childhood homes, 695 00:42:20,040 --> 00:42:25,279 Speaker 1: to our families from our childhood because Thanksgiving is coming up, 696 00:42:25,440 --> 00:42:29,840 Speaker 1: just a reminder, but also the Thanksgiving season is highlighting 697 00:42:30,320 --> 00:42:35,319 Speaker 1: that America does not have enough rapid COVID tests. That's 698 00:42:35,400 --> 00:42:38,319 Speaker 1: the most sought after kind of Thanksgiving item this year, 699 00:42:38,440 --> 00:42:41,960 Speaker 1: aside from all the liquor we need to deal with. 700 00:42:42,040 --> 00:42:46,800 Speaker 1: That is things were already these were already hard to find, 701 00:42:47,000 --> 00:42:52,480 Speaker 1: and now they're basically a tickle me elmo in levels 702 00:42:52,719 --> 00:42:57,280 Speaker 1: hard to find. What the fuck? Someone was like begging 703 00:42:57,320 --> 00:43:00,400 Speaker 1: themselves up on Instagram. They're like, fun, I got the 704 00:43:00,480 --> 00:43:02,160 Speaker 1: last two of blah blah blah. I was like, what 705 00:43:02,200 --> 00:43:05,080 Speaker 1: are you talking about? But I didn't realize it's really 706 00:43:05,239 --> 00:43:08,480 Speaker 1: it's like that now. Yeah, And I mean it makes sense. 707 00:43:08,520 --> 00:43:12,000 Speaker 1: We're going to see elderly relatives. They're they're coming to 708 00:43:12,000 --> 00:43:15,400 Speaker 1: see us. You wanna you wanna get tested? They cost 709 00:43:15,560 --> 00:43:19,440 Speaker 1: between fourteen and fifty dollars and often limited to just 710 00:43:19,600 --> 00:43:23,080 Speaker 1: one per customer. Just tell that to my friend on Instagram. 711 00:43:23,200 --> 00:43:30,800 Speaker 1: Yeah well yeah, but yeah. And then because there's a 712 00:43:31,239 --> 00:43:34,919 Speaker 1: as with like the sneaker market, because people can't find 713 00:43:34,920 --> 00:43:38,240 Speaker 1: them in the store, they're being listed for crazy amounts 714 00:43:38,280 --> 00:43:41,839 Speaker 1: by third party sellers on so it's like Amazon has 715 00:43:41,880 --> 00:43:47,200 Speaker 1: heard about that, which it's just you know, inexcusable. Also, 716 00:43:47,320 --> 00:43:51,319 Speaker 1: like but it does seem like the very most basic thing, 717 00:43:51,440 --> 00:43:55,360 Speaker 1: Like Okay, you guys claim this like market will solve 718 00:43:55,520 --> 00:44:00,080 Speaker 1: all problems, so like solve that here here, Yeah, it 719 00:44:00,160 --> 00:44:03,600 Speaker 1: at us and it's just not happening when it's such 720 00:44:03,640 --> 00:44:06,560 Speaker 1: a basic thing to write. It's like, do you want 721 00:44:06,600 --> 00:44:09,520 Speaker 1: to give the population the ability to know if they 722 00:44:09,560 --> 00:44:13,239 Speaker 1: have COVID? Like, yeah, that's a I think that's a 723 00:44:13,360 --> 00:44:16,279 Speaker 1: fundamental first step people were mean to take in their 724 00:44:16,320 --> 00:44:19,200 Speaker 1: decision making with anything and to be like, oh, yeah, 725 00:44:19,280 --> 00:44:21,040 Speaker 1: we kind of dropped the ball on this, Like well, 726 00:44:21,080 --> 00:44:23,960 Speaker 1: then this whole thing is a mistake. If I was president, 727 00:44:24,040 --> 00:44:27,920 Speaker 1: I would send every single person a COVID test, just 728 00:44:28,040 --> 00:44:32,839 Speaker 1: like did they send us all like something masks right, 729 00:44:32,960 --> 00:44:35,920 Speaker 1: did a mask? I would do that. Everyone would get 730 00:44:36,000 --> 00:44:39,040 Speaker 1: a COVID test right before the holidays, and it would 731 00:44:39,080 --> 00:44:44,440 Speaker 1: be so easy if everyone had access to that. Yeah there, 732 00:44:44,560 --> 00:44:46,520 Speaker 1: I know. And I say that as someone who just 733 00:44:46,680 --> 00:44:53,279 Speaker 1: flew through l A X and the most crowded massless. Yeah, 734 00:44:53,400 --> 00:44:56,799 Speaker 1: I was just kissing people left and right. I had 735 00:44:56,840 --> 00:44:59,080 Speaker 1: my dog, I was kissing her. She was kissing people. 736 00:44:59,480 --> 00:45:01,440 Speaker 1: I would say of puting people's drinks on the flight 737 00:45:01,560 --> 00:45:04,360 Speaker 1: just to make and then spidding them back out so 738 00:45:04,400 --> 00:45:07,239 Speaker 1: they could drink them. Yeah, yeah, but I mean that's 739 00:45:07,280 --> 00:45:10,280 Speaker 1: a like, that's a nice thought, but like that, what 740 00:45:10,280 --> 00:45:14,160 Speaker 1: what is this twenty fifty like? Is? Is not? You're 741 00:45:14,200 --> 00:45:16,720 Speaker 1: not gonna be able to send everybody a free rapid 742 00:45:16,840 --> 00:45:21,040 Speaker 1: tests delivered to their homes unless you're in Britain right now, 743 00:45:21,160 --> 00:45:23,759 Speaker 1: which is what they're doing. People can get a free 744 00:45:23,840 --> 00:45:26,720 Speaker 1: rapid test delivered to their homes many parts of Europe. 745 00:45:26,920 --> 00:45:30,359 Speaker 1: The tests are plentiful and cheap. So what the funk 746 00:45:30,400 --> 00:45:34,440 Speaker 1: happened in the US? So the US policy was mostly 747 00:45:34,480 --> 00:45:38,680 Speaker 1: focused on vaccination because we we love a you know, 748 00:45:38,920 --> 00:45:41,840 Speaker 1: a big last minute save, a big like you know, 749 00:45:41,960 --> 00:45:45,759 Speaker 1: solution that's gonna wipe out the problem, and other countries 750 00:45:45,800 --> 00:45:49,760 Speaker 1: focused more on screening. But meanwhile, the FDA is approval 751 00:45:49,800 --> 00:45:53,680 Speaker 1: process of these tests moved painfully slow. There are only 752 00:45:53,800 --> 00:45:57,640 Speaker 1: twelve approved tests, even though the FDA received more than 753 00:45:57,719 --> 00:46:02,279 Speaker 1: four thousand, five hundred emergency authorizations and related requests for 754 00:46:02,320 --> 00:46:07,200 Speaker 1: COVID tests. That's way behind other countries. They have thirty 755 00:46:07,280 --> 00:46:11,319 Speaker 1: nine rapid self administered antigen tests authorized in the EU. 756 00:46:11,520 --> 00:46:13,680 Speaker 1: But I also want to just kind of put a 757 00:46:13,880 --> 00:46:16,719 Speaker 1: note in here because I do feel like, well, the 758 00:46:16,760 --> 00:46:20,680 Speaker 1: FDA sucks at their job. Brief note of explanation for 759 00:46:20,920 --> 00:46:25,560 Speaker 1: the fiscal year defense budget was seven fifty three point 760 00:46:25,600 --> 00:46:30,040 Speaker 1: five billion at a time with no major war, which 761 00:46:30,080 --> 00:46:32,920 Speaker 1: just major wars we're trying to wind down, I guess 762 00:46:33,200 --> 00:46:37,200 Speaker 1: during an unprecedented global pandemic. The f das budget is 763 00:46:37,360 --> 00:46:40,719 Speaker 1: five point nine billion, nearly half of which is from 764 00:46:40,880 --> 00:46:45,360 Speaker 1: user fees, which is the companies that they're supposed to 765 00:46:45,400 --> 00:46:50,000 Speaker 1: be regulating paying them to their draft. All right, come 766 00:46:50,080 --> 00:46:57,040 Speaker 1: up with those fees real quick, so damn yeah. And 767 00:46:57,280 --> 00:47:00,440 Speaker 1: you know, critics argue that the high standards that the 768 00:47:00,480 --> 00:47:03,680 Speaker 1: FDA is putting in place or odds with public health demands, 769 00:47:04,320 --> 00:47:09,160 Speaker 1: which is true, but it's probably you know, they have 770 00:47:09,320 --> 00:47:13,040 Speaker 1: corporate donors like everything in America. They want our tests 771 00:47:13,120 --> 00:47:16,080 Speaker 1: to be too accurate in a pandemic. This is bullshit. 772 00:47:16,920 --> 00:47:20,200 Speaker 1: It should be like one in one in like five times. 773 00:47:20,200 --> 00:47:22,120 Speaker 1: It's right, That's like good enough, dude. Then you can 774 00:47:22,160 --> 00:47:24,480 Speaker 1: buy five fucking tests and I'll make more money. But 775 00:47:24,560 --> 00:47:28,080 Speaker 1: that is that I I guess that's kind of the logic, 776 00:47:28,120 --> 00:47:30,360 Speaker 1: and I kind of agree with it. That like that 777 00:47:30,640 --> 00:47:34,120 Speaker 1: they are being too withholding and too slow on like 778 00:47:34,239 --> 00:47:37,680 Speaker 1: people are like, if you just had enough tests, then 779 00:47:38,120 --> 00:47:42,640 Speaker 1: like some tests that are you know, accurate, are better 780 00:47:42,680 --> 00:47:46,840 Speaker 1: than no tests that are zero. You know, I guess 781 00:47:46,840 --> 00:47:50,799 Speaker 1: that's true. Yeah, but God, at the very least, why 782 00:47:50,800 --> 00:47:53,359 Speaker 1: aren't we we have to Like it's like at every time, 783 00:47:53,480 --> 00:47:56,560 Speaker 1: every turn, we just ignore like the wisdom gained by 784 00:47:56,560 --> 00:48:00,160 Speaker 1: other countries and how they've battled the pandemic, like like 785 00:48:00,200 --> 00:48:03,080 Speaker 1: with especially when you watch that pandemic documentary that came 786 00:48:03,080 --> 00:48:05,480 Speaker 1: out last year that was like on Hulu and like 787 00:48:05,520 --> 00:48:08,200 Speaker 1: everything under control or whatever, and they talked to like 788 00:48:08,280 --> 00:48:10,920 Speaker 1: the Korean epidemiologist who was like in charge of like 789 00:48:11,000 --> 00:48:13,759 Speaker 1: South Korea's response, and he like was living with the 790 00:48:13,800 --> 00:48:17,120 Speaker 1: pain that like like something like less than forty people 791 00:48:17,239 --> 00:48:20,359 Speaker 1: died and during like a previous outbreak, and he was like, 792 00:48:20,719 --> 00:48:23,040 Speaker 1: I wasn't gonna I'm not I didn't sunk around this time, 793 00:48:23,080 --> 00:48:26,200 Speaker 1: and like testing, like the testing regime became a huge 794 00:48:26,280 --> 00:48:29,240 Speaker 1: factor and at least understanding what was going on, whereas 795 00:48:29,280 --> 00:48:32,920 Speaker 1: here it's just like the vibe strategy of just like 796 00:48:33,239 --> 00:48:34,719 Speaker 1: I don't know, I like, do you feel like you 797 00:48:34,800 --> 00:48:36,879 Speaker 1: have it? If not, then like you don't come like 798 00:48:37,040 --> 00:48:39,879 Speaker 1: for sure and like, don't test if you don't want 799 00:48:39,880 --> 00:48:43,800 Speaker 1: to ruin your plans. You know, that's ship I hear 800 00:48:43,920 --> 00:48:46,719 Speaker 1: right now of like, well, I don't know that if 801 00:48:46,719 --> 00:48:48,440 Speaker 1: I test positive that I can't go to this thing. 802 00:48:49,360 --> 00:48:52,439 Speaker 1: I'm like, then what are you doing? Then fucking don't 803 00:48:52,440 --> 00:48:54,799 Speaker 1: do anything to ensure your safety. Don't just do the 804 00:48:54,840 --> 00:48:56,800 Speaker 1: thing because you're like, I don't want to be verified 805 00:48:56,840 --> 00:49:00,560 Speaker 1: that I'm now a contagion. There's a lot of It 806 00:49:00,680 --> 00:49:02,759 Speaker 1: sets off a lot of weird stuff too, I think 807 00:49:02,800 --> 00:49:05,160 Speaker 1: because we're so we don't know our own status after time, 808 00:49:05,160 --> 00:49:08,120 Speaker 1: because testing isn't How did I How was I allowed 809 00:49:08,200 --> 00:49:11,480 Speaker 1: to fly across the country on one of the busiest 810 00:49:11,560 --> 00:49:14,799 Speaker 1: days of flying without having to show any proof of 811 00:49:14,800 --> 00:49:20,359 Speaker 1: a test or vaccine? Like what I have to show 812 00:49:20,400 --> 00:49:23,440 Speaker 1: proof of vaccine to get into my movie theater, and 813 00:49:23,480 --> 00:49:26,800 Speaker 1: I don't have to show it to travel across the country. Yeah, 814 00:49:27,040 --> 00:49:29,680 Speaker 1: that's that's that's where we see that tension between the 815 00:49:29,760 --> 00:49:33,399 Speaker 1: state and the film. Oh my god, yeah, no, I'm I'm. 816 00:49:34,440 --> 00:49:36,920 Speaker 1: I went to a Chinese restaurant and I got my 817 00:49:37,200 --> 00:49:39,600 Speaker 1: ship checked up like right away, and I forgot we 818 00:49:39,600 --> 00:49:41,239 Speaker 1: were in that new phase in l A where it's 819 00:49:41,239 --> 00:49:45,680 Speaker 1: like no, nasty too, they're not around yeah, and I 820 00:49:45,719 --> 00:49:48,280 Speaker 1: was like damn. And then like one dude, I remember 821 00:49:48,280 --> 00:49:50,840 Speaker 1: another customer, they're like their their name was like a 822 00:49:50,880 --> 00:49:53,080 Speaker 1: shortened version of their full name, and they're like is 823 00:49:53,080 --> 00:49:56,279 Speaker 1: this you And they're like it's yes, and they're like yeah, 824 00:49:56,440 --> 00:49:59,759 Speaker 1: all right, I Like I love it. I fucking love it. Yeah, 825 00:50:00,200 --> 00:50:03,680 Speaker 1: strict like check the name really good. They're like calling 826 00:50:03,719 --> 00:50:06,279 Speaker 1: his name from over his left shoulder to see if 827 00:50:06,280 --> 00:50:13,640 Speaker 1: he turned around check bring it on. But yeah, I 828 00:50:13,680 --> 00:50:16,520 Speaker 1: mean it. It makes sense as like just generally a 829 00:50:16,600 --> 00:50:19,799 Speaker 1: part of this broad American value of like, you know, 830 00:50:20,120 --> 00:50:24,000 Speaker 1: finding out that your COVID positive bad look. You know 831 00:50:24,200 --> 00:50:27,160 Speaker 1: a lot of not like people testing positive for COVID 832 00:50:27,440 --> 00:50:31,800 Speaker 1: bad look for the government. So but like getting vaccine, 833 00:50:31,880 --> 00:50:35,720 Speaker 1: it's almost like America as a corporation is like trying 834 00:50:35,760 --> 00:50:40,920 Speaker 1: to pass our quarterly earnings reports like with you know, 835 00:50:41,000 --> 00:50:43,520 Speaker 1: the with voters in the world, and we're just like, 836 00:50:44,000 --> 00:50:49,160 Speaker 1: al right, so let's justil this vaccine and it'll all 837 00:50:49,200 --> 00:50:52,120 Speaker 1: be done. But like we're finding that the vaccine is 838 00:50:52,160 --> 00:50:55,319 Speaker 1: an ongoing process that we need to like keep getting them, 839 00:50:55,360 --> 00:50:58,560 Speaker 1: and that there's going to be ongoing outbreaks, and it 840 00:50:58,840 --> 00:51:01,560 Speaker 1: sucks that America's all He's going to be lagging behind 841 00:51:01,840 --> 00:51:06,160 Speaker 1: because of this just half past system that doesn't give 842 00:51:06,160 --> 00:51:09,799 Speaker 1: a shit about the humans and the Yeah. But the 843 00:51:09,840 --> 00:51:12,160 Speaker 1: thing I don't understand is like, even when Trump was 844 00:51:12,239 --> 00:51:16,080 Speaker 1: president and Biden too, they had these big things where 845 00:51:16,080 --> 00:51:19,840 Speaker 1: they're like, I'm with the people of Walmart and Target. 846 00:51:20,280 --> 00:51:24,160 Speaker 1: Now we're teaming up to fuck COVID straight up. There's 847 00:51:24,200 --> 00:51:26,480 Speaker 1: gonna be out of here because we were gonna make 848 00:51:26,520 --> 00:51:30,680 Speaker 1: sure they can get tests whatever you need. And I'm like, right, 849 00:51:30,719 --> 00:51:33,319 Speaker 1: I remember that was said. But now we're talking about 850 00:51:33,360 --> 00:51:36,160 Speaker 1: a situation where it's like, I don't know, you can 851 00:51:36,239 --> 00:51:38,440 Speaker 1: knife fight over a fucking at home kit at a 852 00:51:38,480 --> 00:51:41,800 Speaker 1: Walgreens now. So in September, the White House announced the 853 00:51:41,880 --> 00:51:44,640 Speaker 1: bold plan to make testing more available to the masses, 854 00:51:44,760 --> 00:51:48,600 Speaker 1: proclaiming that Walmart, Amazon, and Kroger would sell COVID nineteen 855 00:51:48,640 --> 00:51:53,760 Speaker 1: tests at cost for the following three months, So three 856 00:51:53,840 --> 00:51:56,800 Speaker 1: whole months of not being screwed by some of the 857 00:51:56,880 --> 00:52:00,640 Speaker 1: largest corporations on Earth until the pandemic ends it. Yeah, 858 00:52:00,680 --> 00:52:02,480 Speaker 1: it's gonna be done in three months, and also for 859 00:52:02,560 --> 00:52:04,720 Speaker 1: most of the first two months the tests were sold 860 00:52:04,719 --> 00:52:09,000 Speaker 1: out in stores and were sold at heightened prices by 861 00:52:09,040 --> 00:52:13,560 Speaker 1: third party sellers on sites like oh Amazon and Walmart. So, 862 00:52:14,400 --> 00:52:17,719 Speaker 1: oh my god, this self owned because people can like 863 00:52:17,800 --> 00:52:21,760 Speaker 1: use their e commerce infrastructure, yeah, or not cell pwned 864 00:52:21,960 --> 00:52:25,799 Speaker 1: or like that's how it was supposed to work all along. Yeah, 865 00:52:25,880 --> 00:52:28,400 Speaker 1: the FDA process, you know, it's not just that the 866 00:52:28,400 --> 00:52:31,480 Speaker 1: FDA has high standards. There have been reports that their 867 00:52:31,480 --> 00:52:36,640 Speaker 1: approval process processes arbitrary and opaque. One company submitted a 868 00:52:36,719 --> 00:52:38,920 Speaker 1: rabbit test to FDA in February and didn't hear back 869 00:52:38,960 --> 00:52:41,799 Speaker 1: until June, at which point the FDA sent them a 870 00:52:41,800 --> 00:52:44,240 Speaker 1: list of questions with a deadline of forty eight hours 871 00:52:44,239 --> 00:52:47,120 Speaker 1: to respond. They didn't make the deadline, and the application 872 00:52:47,160 --> 00:52:49,520 Speaker 1: was quote sent to the back of the line, which 873 00:52:49,840 --> 00:52:55,720 Speaker 1: sounds a lot like, you know, any like wildly underfunded 874 00:52:55,880 --> 00:52:59,879 Speaker 1: government bureaucracy, any sort of you know, if you want 875 00:52:59,880 --> 00:53:02,520 Speaker 1: to get any sort of government aid, you have to 876 00:53:03,200 --> 00:53:06,359 Speaker 1: like basically become a bureaucrat and like make it your 877 00:53:06,360 --> 00:53:09,520 Speaker 1: full time job to get the help that you already need, 878 00:53:09,600 --> 00:53:11,640 Speaker 1: even when not working a full time job as a 879 00:53:11,680 --> 00:53:14,560 Speaker 1: fucking government bureaucrat. And this sounds like the same thing. 880 00:53:14,560 --> 00:53:16,920 Speaker 1: They don't have enough people, they don't have enough money 881 00:53:17,080 --> 00:53:22,920 Speaker 1: going into this massive, fucking global catastrophe, and so everyone's 882 00:53:23,280 --> 00:53:26,799 Speaker 1: everyone in the government is shitty. Hum all right, that 883 00:53:26,880 --> 00:53:33,799 Speaker 1: was eye opening. Wow. Yeah, I don't know. I happy Thanksgiving? Yeah, Thanksgiving? Hey, 884 00:53:33,880 --> 00:53:37,320 Speaker 1: you know. And also I'm selling bootleg tests. Hit me 885 00:53:37,400 --> 00:53:40,960 Speaker 1: up on Twitter. Yeah. Yeah, they only tell you what 886 00:53:41,040 --> 00:53:43,080 Speaker 1: you want to know. It's there. I'm like, what do 887 00:53:43,080 --> 00:53:44,839 Speaker 1: you You're trying to get out of this thing. You're 888 00:53:44,840 --> 00:53:46,960 Speaker 1: trying to go. Oh, you're trying to go. You're good. 889 00:53:47,120 --> 00:53:52,600 Speaker 1: Negative pregnancy tests you just stick in your mouth and 890 00:53:52,640 --> 00:53:54,759 Speaker 1: they're like, yo, Miles, you having me spit on a 891 00:53:54,880 --> 00:54:01,200 Speaker 1: fucking comes with your very own COVID mood ring. That yeah, 892 00:54:01,360 --> 00:54:04,279 Speaker 1: except if it's purple. It's unclear which it is. That 893 00:54:04,360 --> 00:54:07,400 Speaker 1: were I feel like we're not far off from that 894 00:54:07,480 --> 00:54:09,759 Speaker 1: kind of ship, you know. I mean, well, are you 895 00:54:09,800 --> 00:54:14,520 Speaker 1: already see the Apple? Just bath in this bathe in 896 00:54:14,520 --> 00:54:19,279 Speaker 1: this borax? I think I think Apple watches and order 897 00:54:19,360 --> 00:54:23,600 Speaker 1: rings were like helpful in determining because heightened heart rate 898 00:54:23,719 --> 00:54:29,360 Speaker 1: was a symptom of COVID. They actually were a diagnostic tool. 899 00:54:29,760 --> 00:54:35,840 Speaker 1: Oh okay, yeah, that's on me. Tim that's on me. 900 00:54:36,000 --> 00:54:39,239 Speaker 1: But you know, just one last point of comparison. Other 901 00:54:39,280 --> 00:54:42,360 Speaker 1: countries not only approved more tests, they also contracted companies 902 00:54:42,400 --> 00:54:45,640 Speaker 1: in order to provide millions of them free of charged individuals. 903 00:54:45,840 --> 00:54:49,000 Speaker 1: And that's just not something that the US has done 904 00:54:49,080 --> 00:54:54,319 Speaker 1: until now that they're getting pushed back in the Biden administration. 905 00:54:54,640 --> 00:54:58,560 Speaker 1: The company that is like the main provider of these tests, Abbot. 906 00:54:59,080 --> 00:55:02,040 Speaker 1: So this is a a good example of the you know, 907 00:55:02,120 --> 00:55:06,520 Speaker 1: need based, just in time production model. So when COVID 908 00:55:06,600 --> 00:55:09,759 Speaker 1: cases in the US dipped in the springtime of this 909 00:55:09,840 --> 00:55:13,960 Speaker 1: company literally throughout a bunch of their products, stuffing them 910 00:55:13,960 --> 00:55:16,760 Speaker 1: in garbage bags. And then they laid off two thousand 911 00:55:16,800 --> 00:55:19,680 Speaker 1: people because, according to one of their managers, numbers are 912 00:55:19,760 --> 00:55:22,400 Speaker 1: going down. This is all about money. That that's a 913 00:55:22,440 --> 00:55:26,120 Speaker 1: direct quote. When cases surge, not long afterwards, the company 914 00:55:26,400 --> 00:55:29,520 Speaker 1: was scrambling to hire back hundreds of workers. The company 915 00:55:29,640 --> 00:55:32,920 Speaker 1: was going through trash, yeah, to dig up those tests. 916 00:55:33,600 --> 00:55:37,279 Speaker 1: Oh my god. So the market is logical and it 917 00:55:37,520 --> 00:55:44,440 Speaker 1: answers all the problems in a timely manner. Yes, But yeah, then, 918 00:55:44,719 --> 00:55:48,279 Speaker 1: and we're still begging to any any regular person who 919 00:55:48,280 --> 00:55:50,560 Speaker 1: would turn on the TV if the media would even 920 00:55:50,560 --> 00:55:52,800 Speaker 1: have a reckoning with this kind of thing, Like the 921 00:55:52,920 --> 00:55:55,880 Speaker 1: story would be like this is scandalous, how how greed 922 00:55:56,000 --> 00:55:59,920 Speaker 1: is running rough shot through the country and creating completely 923 00:56:00,280 --> 00:56:02,560 Speaker 1: But again, like I already sound like someone who would 924 00:56:02,600 --> 00:56:06,040 Speaker 1: be laughed off of a CNN segment, which just shows 925 00:56:06,080 --> 00:56:09,760 Speaker 1: you how well people are conditioned to even hearing things 926 00:56:09,800 --> 00:56:13,920 Speaker 1: of like very logical, like impassioned, Please to like be 927 00:56:14,360 --> 00:56:18,839 Speaker 1: like not immoral just sounds like you're you've got birkenstocks 928 00:56:18,840 --> 00:56:21,839 Speaker 1: growing off your hands or something. Look, people make fun 929 00:56:21,880 --> 00:56:24,440 Speaker 1: of gratitude Burke, but all she's doing is being like 930 00:56:24,520 --> 00:56:27,040 Speaker 1: what the fuck are you guys doing? You know, let's climate, 931 00:56:27,120 --> 00:56:32,560 Speaker 1: but still like it's just a passion, please to not ruin. Hey, child, 932 00:56:32,840 --> 00:56:34,920 Speaker 1: you're like, I don't know if you heard what she said. 933 00:56:35,280 --> 00:56:38,759 Speaker 1: The clock is fucking ticking, and in that building they're 934 00:56:38,840 --> 00:56:42,000 Speaker 1: just circle jerking laughing it up because they're not gonna 935 00:56:42,000 --> 00:56:45,080 Speaker 1: be around to see the worst of it. Like, Okay, 936 00:56:45,800 --> 00:56:50,480 Speaker 1: she's so fiery, are turn her into a meme? Anna, 937 00:56:50,880 --> 00:56:54,160 Speaker 1: It's been such a pleasure as always having your pleasure, 938 00:56:54,680 --> 00:56:58,280 Speaker 1: truly pleasure. Where can people find you and follow you? 939 00:56:58,280 --> 00:57:02,200 Speaker 1: You can find me on Instagram and Twitter at bad 940 00:57:02,280 --> 00:57:06,400 Speaker 1: comics with an X by Anna with two ends and 941 00:57:06,800 --> 00:57:09,520 Speaker 1: the shows The show'morgan now won't be out for a while. 942 00:57:09,640 --> 00:57:13,160 Speaker 1: But I wrote on a show called Flatbush Misdemeanors on 943 00:57:13,239 --> 00:57:17,080 Speaker 1: Showtime and you can watch that now came out a 944 00:57:17,120 --> 00:57:20,520 Speaker 1: little bit ago. Nice. Yeah, so I was like two 945 00:57:20,520 --> 00:57:23,600 Speaker 1: shows behind in my intro. No, no, no no, just one. 946 00:57:23,840 --> 00:57:25,920 Speaker 1: That show just happens to be out right now. I 947 00:57:25,960 --> 00:57:28,479 Speaker 1: gotta gott you know what I mean? So you could 948 00:57:28,480 --> 00:57:33,280 Speaker 1: go see episode seven, that's the one I wrote. Yeah, 949 00:57:33,360 --> 00:57:35,200 Speaker 1: I mean, don't just watch. You should watch them in 950 00:57:35,280 --> 00:57:41,160 Speaker 1: order or it won't make sense. Nah, my parents only watch. Yeah, 951 00:57:42,480 --> 00:57:45,120 Speaker 1: Like my favorite was okay, but it was a little confusing, 952 00:57:45,320 --> 00:57:48,040 Speaker 1: Like you should have told us the plot for the 953 00:57:48,160 --> 00:57:50,840 Speaker 1: right set up. Yeah, if you have an hour, I'll 954 00:57:50,840 --> 00:57:54,960 Speaker 1: go through a series you can understand. But no, I 955 00:57:55,000 --> 00:57:58,160 Speaker 1: want to see the one you did. Yeah. Yeah. Is 956 00:57:58,160 --> 00:57:59,840 Speaker 1: there a tweet or some of the work of so 957 00:58:00,200 --> 00:58:05,760 Speaker 1: media you've been enjoying? Yeah, you know, gosh, I have been. 958 00:58:06,400 --> 00:58:09,240 Speaker 1: I have to Okay, I don't remember the handle, but 959 00:58:09,240 --> 00:58:11,880 Speaker 1: I'm going to find it. There's an Instagram that puts 960 00:58:12,320 --> 00:58:17,600 Speaker 1: cat faces on different animals, and in a dark world, 961 00:58:17,800 --> 00:58:20,360 Speaker 1: it has been bringing me a lot of simple joy. 962 00:58:20,560 --> 00:58:24,360 Speaker 1: Like I was literally looking at it on the plane 963 00:58:24,360 --> 00:58:26,680 Speaker 1: and I laughed out loud, and that's so stupid, Like 964 00:58:26,720 --> 00:58:29,080 Speaker 1: I'm getting so old that I'm laughing at cat faces 965 00:58:29,080 --> 00:58:34,480 Speaker 1: on giraffes. But it's beautiful, man, it's beautiful. I like 966 00:58:34,600 --> 00:58:38,400 Speaker 1: that too. Yeah, my cat faces on giraffes. Every animal 967 00:58:38,520 --> 00:58:41,760 Speaker 1: is better with a cat face. That seems like, yeah, yeah, 968 00:58:42,320 --> 00:58:48,480 Speaker 1: or it's definitely worth that just quick thought experiment. Yeah, okay, 969 00:58:48,520 --> 00:58:52,880 Speaker 1: it's it's she's Russian, I guess, so it's hard to pronounce. 970 00:58:53,120 --> 00:58:58,400 Speaker 1: It's Cody. That's it's spelled ko t y underscore v 971 00:58:58,760 --> 00:59:03,040 Speaker 1: e z d as in dog e. There it is, 972 00:59:03,640 --> 00:59:06,120 Speaker 1: all right, check it out. Yeah, And it's just cat 973 00:59:06,240 --> 00:59:11,160 Speaker 1: faces on other animals. That's the whole thing. It's the 974 00:59:11,200 --> 00:59:14,880 Speaker 1: simplest thing sometimes, you know. Yeah, Miles, where can people 975 00:59:14,920 --> 00:59:18,200 Speaker 1: find you? What is the tweet you've been enjoying? Oh? Man, 976 00:59:18,240 --> 00:59:21,280 Speaker 1: you can find me on Twitter and Instagram at Miles 977 00:59:21,520 --> 00:59:25,240 Speaker 1: of Gray. Uh. And also the other show for Twenty 978 00:59:25,280 --> 00:59:30,479 Speaker 1: Day Fiance, We're Sophia Alexander and I talk about off 979 00:59:30,480 --> 00:59:33,240 Speaker 1: of that herb do you feel me? Uh? Some tweets 980 00:59:33,280 --> 00:59:37,600 Speaker 1: that are like this one is from at Joshua Potash, 981 00:59:37,640 --> 00:59:41,080 Speaker 1: whose displain name is read Pedagogy of the Oppressed by 982 00:59:41,200 --> 00:59:45,640 Speaker 1: Paulo Prairie fantastic. And in this one, it's just a picture. 983 00:59:45,720 --> 00:59:47,520 Speaker 1: It's like, he says, God, this is bleak, and it's 984 00:59:47,520 --> 00:59:51,480 Speaker 1: a photo of apparently an ad that is on like 985 00:59:51,520 --> 00:59:53,800 Speaker 1: an outside of a Burger King, and it's a bunch 986 00:59:53,840 --> 00:59:56,680 Speaker 1: of like old senior citizens and it says, who says 987 00:59:56,720 --> 00:59:59,800 Speaker 1: you have to retire at Burger King? We welcome your 988 01:00:00,040 --> 01:00:03,520 Speaker 1: variance in leadership. If you're energetic, friendly and service oriented, 989 01:00:03,680 --> 01:00:06,120 Speaker 1: we have a full or part time position on your 990 01:00:06,280 --> 01:00:13,120 Speaker 1: on our team. And they're just like so cool. They 991 01:00:13,200 --> 01:00:15,560 Speaker 1: sounds fun I mean like and this like it's funny 992 01:00:15,560 --> 01:00:18,000 Speaker 1: though too, because this group of elderly people, it looks 993 01:00:18,040 --> 01:00:20,560 Speaker 1: like what I like, I remember when I was like 994 01:00:20,600 --> 01:00:23,400 Speaker 1: applying to college is what college brosures used to look like, Like, 995 01:00:23,400 --> 01:00:25,640 Speaker 1: you'll get the most diverse motherfucker's at this school on 996 01:00:25,680 --> 01:00:28,240 Speaker 1: the front of this motherfucking book. And it's like it's 997 01:00:28,240 --> 01:00:30,240 Speaker 1: like a Benetton ad but for people that were adult 998 01:00:30,240 --> 01:00:33,240 Speaker 1: diapers shout out to them. Look I'm not mad at him, 999 01:00:33,280 --> 01:00:36,480 Speaker 1: but oh no, the tweet, I like, God, taken down, 1000 01:00:37,320 --> 01:00:39,800 Speaker 1: so okay this, but the other tweet I like is 1001 01:00:39,840 --> 01:00:44,080 Speaker 1: from at Underscore Underscore Incandescent, and she tweeted What I 1002 01:00:44,120 --> 01:00:46,000 Speaker 1: love about gen Z is they'll take an ell and 1003 01:00:46,040 --> 01:00:48,600 Speaker 1: immediately post a TikTok about it. It's very good for 1004 01:00:48,720 --> 01:00:52,400 Speaker 1: my love of mess. And damn this tweet that was there, 1005 01:00:52,400 --> 01:00:55,200 Speaker 1: so I was they linked to a TikTok video that Twitter. 1006 01:00:55,240 --> 01:00:57,000 Speaker 1: I guess they got the video down, but it was 1007 01:00:57,040 --> 01:01:00,480 Speaker 1: this girl sitting outside of a like an apartment hallway 1008 01:01:00,520 --> 01:01:02,680 Speaker 1: with her luggage next to her, and she goes like, 1009 01:01:02,760 --> 01:01:05,760 Speaker 1: my stupid ass went to go visit, like visit this guy, 1010 01:01:06,120 --> 01:01:08,080 Speaker 1: and he's like and a woman answered the door and 1011 01:01:08,120 --> 01:01:10,240 Speaker 1: just beat the ship out of me. Now I'm stranged. 1012 01:01:11,480 --> 01:01:14,000 Speaker 1: Was like, but she was like someone was filming her 1013 01:01:14,040 --> 01:01:16,080 Speaker 1: and she like had like a track going on and 1014 01:01:16,120 --> 01:01:18,880 Speaker 1: it was very like making a TikTok out of your 1015 01:01:18,960 --> 01:01:21,400 Speaker 1: like terrible mistake. And I was like, this is so real, 1016 01:01:21,520 --> 01:01:24,240 Speaker 1: but yeah, credit to that. What I love about gen 1017 01:01:24,320 --> 01:01:27,360 Speaker 1: Z is they've taken out and immediately posted TikTok about it. 1018 01:01:27,360 --> 01:01:30,439 Speaker 1: It's so true. There's so many crying TikTok's of people 1019 01:01:30,560 --> 01:01:33,640 Speaker 1: just being like these are my tears. This is what happened, 1020 01:01:34,720 --> 01:01:39,080 Speaker 1: and I'm like, for me, someone who my foregut reaction 1021 01:01:39,160 --> 01:01:41,840 Speaker 1: to people crying in public is to be uncomfortable. It 1022 01:01:41,840 --> 01:01:45,880 Speaker 1: helps me softened, you know, my terrible habits around compressing 1023 01:01:45,920 --> 01:01:48,920 Speaker 1: myself that. You can find me on Twitter at Jack Underscore. 1024 01:01:48,920 --> 01:01:53,960 Speaker 1: O'Brien go look at on a recommendation. Please the cat 1025 01:01:55,200 --> 01:01:58,920 Speaker 1: are so freaking great. Yehaw Meg tweeted Pete Davidson Travis 1026 01:01:58,920 --> 01:02:01,520 Speaker 1: Parker a machine gun kil you're the manic Pixie dreamgirl 1027 01:02:01,600 --> 01:02:05,000 Speaker 1: of men the chaos goblin line cook, I thought that 1028 01:02:05,080 --> 01:02:08,640 Speaker 1: was pretty good. We'd smithing. Uh. You can find us 1029 01:02:08,640 --> 01:02:11,200 Speaker 1: on Twitter at Daily Zeitgeist. Were at the Daily Zeitgeist 1030 01:02:11,280 --> 01:02:13,400 Speaker 1: on Instagram. We have a Facebook fan page on our 1031 01:02:13,440 --> 01:02:16,240 Speaker 1: website daily zygeis dot com where we post our episodes 1032 01:02:16,560 --> 01:02:19,360 Speaker 1: and our foot Nope. We link off to the information 1033 01:02:19,360 --> 01:02:21,480 Speaker 1: that we talked about in today's episode, as well as 1034 01:02:21,560 --> 01:02:24,080 Speaker 1: us song that we think you might enjoys. What song 1035 01:02:24,120 --> 01:02:27,440 Speaker 1: do we think people might enjoy? Oh? My goodness. So 1036 01:02:27,760 --> 01:02:30,640 Speaker 1: this is a remix of a tokey Monster track. Shout 1037 01:02:30,640 --> 01:02:32,520 Speaker 1: out toke Monster to get into it. If you like 1038 01:02:32,880 --> 01:02:36,520 Speaker 1: good good music, some beats and electronic other or otherwise. 1039 01:02:36,960 --> 01:02:40,160 Speaker 1: But it's a remix by an artist named Imanu, I 1040 01:02:40,200 --> 01:02:42,840 Speaker 1: Am A and You, and it's a remix of the 1041 01:02:42,880 --> 01:02:46,280 Speaker 1: Tokey Monster track Love That Never. And this is just 1042 01:02:46,360 --> 01:02:50,919 Speaker 1: one of those tracks where it's pretty layered and very 1043 01:02:51,040 --> 01:02:54,200 Speaker 1: like electronic, but you want to listen to it and 1044 01:02:54,280 --> 01:02:58,040 Speaker 1: with headphones because, like, as somebody who likes to make music, 1045 01:02:58,200 --> 01:03:01,360 Speaker 1: I'm just really impressed with you know, the synthesis that's 1046 01:03:01,400 --> 01:03:03,600 Speaker 1: going on there and just kind of the overall mix 1047 01:03:03,640 --> 01:03:05,680 Speaker 1: of it. So this is good headphone music, you know 1048 01:03:05,720 --> 01:03:08,080 Speaker 1: what I mean, not necessarily blasted out of your thin 1049 01:03:08,280 --> 01:03:13,120 Speaker 1: phone speakers. So this is again iman News remix of 1050 01:03:13,400 --> 01:03:17,720 Speaker 1: Tokey Monster's track Love That Never. Alright, well we will 1051 01:03:17,800 --> 01:03:19,640 Speaker 1: link off to that. Go check it out. The Daily 1052 01:03:19,720 --> 01:03:21,720 Speaker 1: Zyka is a production of I Heart Radio. For more 1053 01:03:21,720 --> 01:03:24,560 Speaker 1: podcasts from my Heart Radio, visit guy Heart Radio, app, 1054 01:03:24,600 --> 01:03:27,120 Speaker 1: Apple podcast or wherever you listen to your favorite shows. 1055 01:03:27,200 --> 01:03:29,479 Speaker 1: That's gonna do it for us this morning. We're back 1056 01:03:29,520 --> 01:03:31,480 Speaker 1: this afternoon to tell you what's trending and we will 1057 01:03:31,480 --> 01:03:33,520 Speaker 1: talk to y'all day. Bye bye