1 00:00:00,280 --> 00:00:03,440 Speaker 1: Hello the Internet, and welcome to season two seventy three, 2 00:00:03,520 --> 00:00:09,360 Speaker 1: Episode five of jediis I Geist Yeah, production of I 3 00:00:09,520 --> 00:00:12,680 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:12,800 --> 00:00:17,760 Speaker 1: deep dive into America's shared consciousness. And it is Friday, 5 00:00:17,800 --> 00:00:24,160 Speaker 1: February third, two three, two three. My name is Jack O'Brien, 6 00:00:24,239 --> 00:00:28,640 Speaker 1: a K. Potatoes O'Brien, and I'm thrilled to be joined 7 00:00:29,360 --> 00:00:32,080 Speaker 1: my second seat by one of the very faces on 8 00:00:32,159 --> 00:00:36,640 Speaker 1: Mountain site, Mara, hilarious and brilliant writer producer writes on 9 00:00:36,680 --> 00:00:41,040 Speaker 1: shows like Mixed Dish, that nineties show you know him 10 00:00:41,080 --> 00:00:43,920 Speaker 1: from yos This Racist, which has a live episode this 11 00:00:43,960 --> 00:00:46,479 Speaker 1: Saturday at Cops in San Francisco as part of SF 12 00:00:46,560 --> 00:00:52,160 Speaker 1: Sketch Fest. It's Andrew T. I'm not just the guest 13 00:00:52,200 --> 00:00:55,920 Speaker 1: co host. I'm the co host that guessed it up. 14 00:00:56,360 --> 00:01:05,560 Speaker 1: That's right what I watched. I was like debating before 15 00:01:05,760 --> 00:01:07,640 Speaker 1: we got here. I was like, that is simply too 16 00:01:07,720 --> 00:01:09,480 Speaker 1: dumb to say out loud, and now I think I 17 00:01:09,560 --> 00:01:12,920 Speaker 1: have to I have to try. Yeah, you absolutely good. Well, 18 00:01:12,959 --> 00:01:15,319 Speaker 1: Andrew were thrilled to be joined in our third seat 19 00:01:15,520 --> 00:01:18,600 Speaker 1: by James Beard, Award winning writer and host of the 20 00:01:18,640 --> 00:01:26,160 Speaker 1: podcast Radio Lingo. Please welcome amm it. Oh yeah, well, hey, 21 00:01:26,400 --> 00:01:30,039 Speaker 1: it's going all right. I did listen to the pilot 22 00:01:30,160 --> 00:01:33,440 Speaker 1: episode of the show, which is all about how people 23 00:01:33,480 --> 00:01:37,080 Speaker 1: mispronounce your name, how to pronounce your name? Did my 24 00:01:37,120 --> 00:01:41,160 Speaker 1: best just there? That's pretty good? Okay? I would, I 25 00:01:41,160 --> 00:01:43,479 Speaker 1: would probably, I would probably give that a pass. I would, 26 00:01:43,560 --> 00:01:48,200 Speaker 1: I would go no, note like I would is a 27 00:01:48,320 --> 00:01:52,400 Speaker 1: pet I think. I think. I'm like you learned to 28 00:01:52,440 --> 00:01:55,360 Speaker 1: be okay with lots of different ways of pronouncing And 29 00:01:55,400 --> 00:01:57,360 Speaker 1: there are a lot of different ways of pronouncing my name, 30 00:01:57,440 --> 00:02:00,200 Speaker 1: even in my own family. I realized doing that pilot 31 00:02:00,560 --> 00:02:02,520 Speaker 1: half the people in my family don't say my name 32 00:02:02,640 --> 00:02:05,440 Speaker 1: the same way. So I've learned to be pluralistic and 33 00:02:05,440 --> 00:02:09,359 Speaker 1: open minded about it. Amazing, How and how deep are 34 00:02:09,360 --> 00:02:13,240 Speaker 1: you in the show's We finished the first season first. 35 00:02:13,360 --> 00:02:17,240 Speaker 1: All eight episodes are out on streaming platforms of radio Lingo, 36 00:02:17,639 --> 00:02:19,640 Speaker 1: and it's the show we did with some crooked media 37 00:02:19,760 --> 00:02:21,640 Speaker 1: and dual lingo, so like we kind of got a 38 00:02:21,639 --> 00:02:24,160 Speaker 1: little bit of that cultural criticism. We got a little 39 00:02:24,160 --> 00:02:26,760 Speaker 1: bit of the linguistics, you know, science culture. It's like 40 00:02:26,800 --> 00:02:29,520 Speaker 1: it's it makes linguistics fun. I mean, I think language 41 00:02:29,520 --> 00:02:32,720 Speaker 1: is like really interesting and uh, you know, sometimes getting 42 00:02:32,800 --> 00:02:35,160 Speaker 1: good info about it it's hard. So we hope to 43 00:02:35,200 --> 00:02:38,240 Speaker 1: do a lot of accessible and interesting information about the 44 00:02:38,240 --> 00:02:43,040 Speaker 1: way language shapes our world and how our world shapes language. Yeah, so, 45 00:02:43,080 --> 00:02:47,560 Speaker 1: how exactly did I mispronounce it? Though? Because so here's 46 00:02:47,560 --> 00:02:49,520 Speaker 1: the thing. You can't be expected to say it the 47 00:02:49,520 --> 00:02:51,639 Speaker 1: way that I say it, given the way it's written. 48 00:02:51,680 --> 00:02:55,919 Speaker 1: It's a h M E D that is so misleading. 49 00:02:56,240 --> 00:03:00,160 Speaker 1: It's actually am mud and mud. There you go. Oh 50 00:03:00,200 --> 00:03:02,840 Speaker 1: that was very good, honestly, not out not out of 51 00:03:02,880 --> 00:03:06,799 Speaker 1: t Wow, look at me, um Emma is how it 52 00:03:06,919 --> 00:03:11,080 Speaker 1: said in Ammad. That's so good, honestly, one of the better, better, 53 00:03:11,160 --> 00:03:14,320 Speaker 1: better announcers of a non Pakistani person i've heard. So 54 00:03:16,080 --> 00:03:18,040 Speaker 1: I think grating got a curve. Grading on the white 55 00:03:18,040 --> 00:03:22,840 Speaker 1: curve is important. It's always important for me Andrew get 56 00:03:22,960 --> 00:03:27,320 Speaker 1: graded on that white curve. Low expectations. You know. Potatoes 57 00:03:27,360 --> 00:03:31,120 Speaker 1: O'Brien is you know my nickname because it is the 58 00:03:31,160 --> 00:03:36,080 Speaker 1: most average side side dish possible and I'm aggressively mediocre 59 00:03:36,560 --> 00:03:38,400 Speaker 1: on the topic of potatoes. I guess that could be 60 00:03:38,480 --> 00:03:44,240 Speaker 1: Emma alukabar potato um, you know, like Ali Gobi. But 61 00:03:45,120 --> 00:03:47,360 Speaker 1: I wanted to say like, there's probably Arabs listening, and 62 00:03:47,400 --> 00:03:49,440 Speaker 1: who are like, he's saying his name wrong because they 63 00:03:49,520 --> 00:03:53,560 Speaker 1: say that's also right to them, but to me, it's 64 00:03:53,640 --> 00:03:58,480 Speaker 1: in my family. Everyone says, Emma ahmad. So yeah, alright, Emma, 65 00:03:58,720 --> 00:04:00,080 Speaker 1: We're going to get to know you a little a 66 00:04:00,120 --> 00:04:02,000 Speaker 1: bit better in a moment. First, we're gonna tell our 67 00:04:02,040 --> 00:04:05,200 Speaker 1: listeners a couple of the things that we're talking about 68 00:04:05,320 --> 00:04:09,080 Speaker 1: on today's episode. Apparently a big strike happening in the 69 00:04:09,200 --> 00:04:12,200 Speaker 1: UK that's not getting a lot of coverage over here 70 00:04:12,320 --> 00:04:14,760 Speaker 1: in the mainstream, so we're gonna talk about that. We're 71 00:04:14,760 --> 00:04:17,440 Speaker 1: gonna talk about the civil suit against Kyle Rittenhouse being 72 00:04:17,480 --> 00:04:21,039 Speaker 1: able to go ahead, and just there's some good descriptions 73 00:04:21,080 --> 00:04:24,960 Speaker 1: in the suit that give you a nice to re 74 00:04:25,120 --> 00:04:29,760 Speaker 1: contextualize things that I think maybe people have lost sight of. 75 00:04:30,120 --> 00:04:32,680 Speaker 1: In that case, we'll talk about Shell Oils. We we 76 00:04:32,760 --> 00:04:36,560 Speaker 1: just always like to celebrate when Shell Oil reports record profits. 77 00:04:36,760 --> 00:04:41,200 Speaker 1: We like to crack open a barrel of crude. It's 78 00:04:41,200 --> 00:04:45,280 Speaker 1: another banner day for shall that's right. We'll talk about 79 00:04:45,360 --> 00:04:49,919 Speaker 1: ugly produce. We'll talk about ticket Master, Ticketmaster anxiety that 80 00:04:50,000 --> 00:04:54,880 Speaker 1: I think everyone's having around the upcoming Beyonce tour, So 81 00:04:55,120 --> 00:04:58,400 Speaker 1: we'll talk about all that plenty more. But first, Emma, 82 00:04:58,720 --> 00:05:01,720 Speaker 1: we like to ask our guests, what is something from 83 00:05:01,839 --> 00:05:05,760 Speaker 1: your search history? I wish it was something interesting, but 84 00:05:05,839 --> 00:05:08,480 Speaker 1: really what I used Google for now is just looking 85 00:05:08,520 --> 00:05:11,800 Speaker 1: up things about the video games I'm playing currently, fire 86 00:05:11,839 --> 00:05:14,440 Speaker 1: ump Whom Engage. I'm like, this game does not explain 87 00:05:14,480 --> 00:05:17,880 Speaker 1: anything to you. How do I promote this character into 88 00:05:17,920 --> 00:05:20,560 Speaker 1: a class that is cool and does cool things? The 89 00:05:20,600 --> 00:05:22,440 Speaker 1: game is not explaining it to me, so it's all 90 00:05:22,520 --> 00:05:26,600 Speaker 1: like fire Umpleman Engage, how to promote Ellier to next class? 91 00:05:26,640 --> 00:05:31,960 Speaker 1: Like that's literally it nice. I'm not a gamer, Andrew, 92 00:05:32,360 --> 00:05:35,560 Speaker 1: do you does anything? Do any of those words make 93 00:05:35,600 --> 00:05:38,000 Speaker 1: sense to you? One of my they kind of do 94 00:05:38,040 --> 00:05:41,520 Speaker 1: because one of my I believe first appearances on this 95 00:05:41,640 --> 00:05:43,400 Speaker 1: very show, I was talking about how one of my 96 00:05:43,440 --> 00:05:46,120 Speaker 1: favorite things to do is as a non gamer, is 97 00:05:46,160 --> 00:05:49,440 Speaker 1: watch people play video games on YouTube, so I feel 98 00:05:49,520 --> 00:05:51,839 Speaker 1: like more familiar. I was at my friend's house the 99 00:05:51,880 --> 00:05:53,800 Speaker 1: other day and his kids were playing God of War 100 00:05:54,440 --> 00:05:57,400 Speaker 1: and I knew where stuff was, even though I had 101 00:05:57,480 --> 00:05:59,680 Speaker 1: literally never played the game before, and I think I 102 00:05:59,680 --> 00:06:02,840 Speaker 1: haven't capable of it. Right, You're like, you missed the 103 00:06:02,920 --> 00:06:07,960 Speaker 1: chess chew over that ledge and the fire the acts 104 00:06:07,960 --> 00:06:11,159 Speaker 1: the other way. It's right there. Yeah, I really like 105 00:06:11,240 --> 00:06:15,400 Speaker 1: hearing people talk about video game like storytelling and like 106 00:06:15,600 --> 00:06:18,320 Speaker 1: all the ways that it's innovating. Again, like, don't play 107 00:06:18,400 --> 00:06:21,760 Speaker 1: video games. Haven't played video games since uh the N 108 00:06:21,880 --> 00:06:25,960 Speaker 1: sixty four a sort of consistent basis, and but yeah, 109 00:06:26,240 --> 00:06:31,560 Speaker 1: sometimes people just you know, because you know playing you're 110 00:06:31,600 --> 00:06:33,440 Speaker 1: sort of involved in it. And I feel like there's 111 00:06:33,480 --> 00:06:38,000 Speaker 1: just a level of like commitment and vividness and color 112 00:06:38,200 --> 00:06:42,839 Speaker 1: that comes with sometimes hearing a video game like gameplay 113 00:06:43,040 --> 00:06:46,880 Speaker 1: described that that I really enjoy. It's like being a 114 00:06:46,880 --> 00:06:50,360 Speaker 1: little brother all over again. Exactly, Jack, you don't play 115 00:06:50,360 --> 00:06:52,680 Speaker 1: in a Candy Crush or like Wordscapes or any of 116 00:06:52,680 --> 00:06:55,440 Speaker 1: that on your phone, Like I got into wordle and 117 00:06:55,960 --> 00:06:59,080 Speaker 1: Candy Crush at various times. Yeah, but to me, that 118 00:06:59,080 --> 00:07:02,279 Speaker 1: means you play video game. I feel like the intense 119 00:07:02,520 --> 00:07:06,599 Speaker 1: gamer bros have monopolized that identity. It's like you play 120 00:07:06,600 --> 00:07:08,880 Speaker 1: games on your phone, you're you play video games. That's 121 00:07:08,960 --> 00:07:11,240 Speaker 1: that's how I see it. And I always feel bad 122 00:07:11,320 --> 00:07:13,280 Speaker 1: every time I play like Candy Crush or like one 123 00:07:13,280 --> 00:07:15,680 Speaker 1: of those games, I'm like, what are you doing? Where 124 00:07:15,760 --> 00:07:18,720 Speaker 1: is my because the time Like I think the reason 125 00:07:18,760 --> 00:07:22,680 Speaker 1: I stay away from it is because the most that 126 00:07:22,800 --> 00:07:28,440 Speaker 1: I've engaged in non pharmaceutical time travel where it's just like, oh, 127 00:07:28,600 --> 00:07:31,280 Speaker 1: I've been sitting here for three hours, but I have 128 00:07:31,440 --> 00:07:36,600 Speaker 1: no awareness, like the time just absolutely disappeared. Has been 129 00:07:36,600 --> 00:07:40,000 Speaker 1: playing like you know, Candy Crush or something like that. 130 00:07:40,160 --> 00:07:42,360 Speaker 1: So I wanted to do I wanted someone to do 131 00:07:42,400 --> 00:07:45,240 Speaker 1: a deep dive into those like clearly spam video games 132 00:07:45,240 --> 00:07:48,480 Speaker 1: that get advertised on Instagram. Like it's like, this is 133 00:07:48,600 --> 00:07:53,680 Speaker 1: clearly not a thing, like but dozens of generations, it's amazing, 134 00:07:54,200 --> 00:08:02,520 Speaker 1: nine out of ten guys can't solve this, Like what 135 00:08:02,520 --> 00:08:05,360 Speaker 1: what is the game that you're would you mind engaging 136 00:08:05,360 --> 00:08:10,600 Speaker 1: in a little video game storytelling description and tell us 137 00:08:10,600 --> 00:08:12,280 Speaker 1: about what was the name of the game fire and 138 00:08:13,160 --> 00:08:17,320 Speaker 1: engage It's I would not. I would be very embarrassed 139 00:08:17,320 --> 00:08:20,440 Speaker 1: to have you watched me play that game, because they're embarrassing. 140 00:08:21,080 --> 00:08:23,560 Speaker 1: The game before Fire Upon Three Houses was kind of 141 00:08:23,600 --> 00:08:27,400 Speaker 1: like this great like political drama in like a kind 142 00:08:27,440 --> 00:08:31,680 Speaker 1: of anime high school, like medieval anime high school kind 143 00:08:31,680 --> 00:08:33,880 Speaker 1: a situation, but like there was actually some smart like 144 00:08:33,960 --> 00:08:36,439 Speaker 1: character writing in it. This new one is just like 145 00:08:36,480 --> 00:08:39,560 Speaker 1: you know what, it's camp. It's all camp, and your 146 00:08:39,640 --> 00:08:43,160 Speaker 1: units will your your units will die, like they'll actually die, 147 00:08:43,320 --> 00:08:45,880 Speaker 1: like they will be dead, and the game will not 148 00:08:45,920 --> 00:08:47,600 Speaker 1: comment on it. It's like a It's a game where 149 00:08:47,600 --> 00:08:50,760 Speaker 1: you like feeld a bunch of cavalry and like archers, 150 00:08:50,840 --> 00:08:52,960 Speaker 1: and they all have like blue hair and red hair, 151 00:08:53,040 --> 00:08:55,680 Speaker 1: and they like are dressed in ridiculous outfits and you 152 00:08:55,720 --> 00:08:58,440 Speaker 1: just have to send these child soldiers out and hope 153 00:08:58,440 --> 00:09:01,000 Speaker 1: that they don't die and try to text the kingdom 154 00:09:01,160 --> 00:09:05,360 Speaker 1: from like dragons. It's it's really not a very cool game, 155 00:09:05,480 --> 00:09:07,240 Speaker 1: but it is a game that I've been playing for 156 00:09:07,240 --> 00:09:09,200 Speaker 1: probably like twelve years. Every time they come out with one, 157 00:09:09,240 --> 00:09:11,360 Speaker 1: I play a new one because the game plays very good. 158 00:09:11,400 --> 00:09:13,480 Speaker 1: It's a very fun game. And how are you with 159 00:09:13,600 --> 00:09:15,880 Speaker 1: the are you? Are you watching the Last of Us? 160 00:09:16,320 --> 00:09:18,160 Speaker 1: And just like I saw on Twitter that you are, 161 00:09:19,000 --> 00:09:23,240 Speaker 1: how is everybody doing with that? I actually wasn't because 162 00:09:23,280 --> 00:09:26,400 Speaker 1: it's the game was too harrowing, So I I was 163 00:09:26,480 --> 00:09:28,520 Speaker 1: joking about it. But I'm going to catch up at 164 00:09:28,600 --> 00:09:31,600 Speaker 1: some point. So yeah, the Last of Us game, which 165 00:09:31,640 --> 00:09:33,760 Speaker 1: is like you know about those you know, fungus people 166 00:09:34,160 --> 00:09:37,000 Speaker 1: taking over the world and you know this journey to 167 00:09:37,520 --> 00:09:39,640 Speaker 1: you know, I won't spoil the journey of what the 168 00:09:39,720 --> 00:09:41,840 Speaker 1: journey is about, but there's a big journey. The name 169 00:09:41,960 --> 00:09:44,920 Speaker 1: game was very yeah, like harrowing and nihilistic this, and 170 00:09:44,960 --> 00:09:47,280 Speaker 1: I was like a little um worried about what they 171 00:09:47,280 --> 00:09:50,080 Speaker 1: would do here because every zombie show likes to be 172 00:09:50,280 --> 00:09:54,840 Speaker 1: the real enemy is actually humans. It's not. He's like, yes, 173 00:09:54,920 --> 00:10:00,800 Speaker 1: we know humans are terrible, but this, the last episode 174 00:10:00,800 --> 00:10:03,880 Speaker 1: they did, was so beautiful. It was so so beautiful. 175 00:10:03,920 --> 00:10:06,480 Speaker 1: It was about like survival, I guess, and love. And 176 00:10:06,559 --> 00:10:08,280 Speaker 1: I just thought that the way they did it was 177 00:10:08,400 --> 00:10:10,360 Speaker 1: like it was just a little short film and that 178 00:10:10,440 --> 00:10:12,920 Speaker 1: really sold me on it. Andrew, I wasn't sold on 179 00:10:12,920 --> 00:10:16,240 Speaker 1: it before then either, but okay, well, I was just 180 00:10:16,360 --> 00:10:19,520 Speaker 1: like I'd heard because this episode is a deviation from 181 00:10:19,640 --> 00:10:22,800 Speaker 1: the game, and prior to that it sounded like it 182 00:10:22,840 --> 00:10:25,280 Speaker 1: was very close to the game. However, my my pitch 183 00:10:25,280 --> 00:10:28,200 Speaker 1: on Twitter was because I'm horribly bad at video games, 184 00:10:28,200 --> 00:10:29,640 Speaker 1: and this is actually one of the few video games 185 00:10:29,640 --> 00:10:31,160 Speaker 1: I played. We should I would like to see a 186 00:10:31,320 --> 00:10:34,280 Speaker 1: last of us Prestige TV show sent to the pacing 187 00:10:34,400 --> 00:10:38,320 Speaker 1: of my gameplay. Uh So, everything takes about like four hours. 188 00:10:38,800 --> 00:10:42,400 Speaker 1: They spent like like really really like unbelievable amount of 189 00:10:42,440 --> 00:10:44,800 Speaker 1: time missing shooting at one zombie, one of the early 190 00:10:44,840 --> 00:10:50,920 Speaker 1: ones that kind of ship, the main character keeps dying 191 00:10:52,280 --> 00:10:54,280 Speaker 1: just like just like looking at a pile of bolts 192 00:10:54,280 --> 00:10:56,800 Speaker 1: in his hands, like I gotta make some stuff. I 193 00:10:56,800 --> 00:11:03,319 Speaker 1: guess what is something that you think is overrated? This 194 00:11:03,400 --> 00:11:06,400 Speaker 1: is a very basic high school opinion of mine. But 195 00:11:06,480 --> 00:11:09,600 Speaker 1: waking up early having had to I'm a I'm a 196 00:11:09,600 --> 00:11:12,680 Speaker 1: new dad, and for the last five weeks I have 197 00:11:12,760 --> 00:11:15,560 Speaker 1: been alone with the baby and have had to every 198 00:11:15,559 --> 00:11:17,840 Speaker 1: single day be the only person waking up and when 199 00:11:17,880 --> 00:11:20,920 Speaker 1: the baby wakes up, and now that my partner's back 200 00:11:20,960 --> 00:11:23,400 Speaker 1: and we're splitting the duties, I'm like, I don't want 201 00:11:23,400 --> 00:11:25,280 Speaker 1: to go back to that. That is not pleasant for me. 202 00:11:25,320 --> 00:11:27,640 Speaker 1: I know some people get a lot done there. I 203 00:11:27,679 --> 00:11:30,000 Speaker 1: was waking up early and still not getting as much 204 00:11:30,000 --> 00:11:33,280 Speaker 1: work done in the morning as all these morning people say, Like, 205 00:11:33,360 --> 00:11:35,640 Speaker 1: I tried it for six weeks straight. It did nothing 206 00:11:35,679 --> 00:11:39,160 Speaker 1: for me. All my work was happened after eleven am. 207 00:11:39,280 --> 00:11:41,880 Speaker 1: I'm famously on the Mark Wahlberg schedule where I wake 208 00:11:41,960 --> 00:11:45,160 Speaker 1: up at two am and get a full full, just 209 00:11:45,360 --> 00:11:48,679 Speaker 1: absurd work out there, just to make sure that I 210 00:11:48,760 --> 00:11:52,520 Speaker 1: know that I have the mental edge over my fellow 211 00:11:52,640 --> 00:11:55,640 Speaker 1: humans a k. Competitors because I view everybody else as 212 00:11:55,679 --> 00:11:59,079 Speaker 1: a competitor. And first breakfast at six am, second breakfast 213 00:11:59,120 --> 00:12:03,160 Speaker 1: at nine get like, let's cook five different meals a day. Yeah, 214 00:12:03,720 --> 00:12:08,280 Speaker 1: camp podcasts without the pump. Yeah, you gotta get your 215 00:12:08,280 --> 00:12:11,599 Speaker 1: pump on before before rolling. Yeah, no I don't. I 216 00:12:11,640 --> 00:12:15,720 Speaker 1: don't have that either. I I've tried it. And yeah, 217 00:12:16,080 --> 00:12:19,400 Speaker 1: I'm mostly through the very early waking up with the 218 00:12:19,440 --> 00:12:25,320 Speaker 1: baby part portion of fatherhood. But it's yeah, I just 219 00:12:25,400 --> 00:12:29,320 Speaker 1: I just can't wait to sleep in until nine one 220 00:12:29,400 --> 00:12:33,480 Speaker 1: time in the future and be like, wow, I don't 221 00:12:33,520 --> 00:12:36,600 Speaker 1: even I'm not waking up in a panic wondering what 222 00:12:36,720 --> 00:12:41,000 Speaker 1: has happened that has allowed me to sleep until night. Yeah, 223 00:12:41,240 --> 00:12:44,200 Speaker 1: this might be similar to y'all's fatherhood journey. But I 224 00:12:44,240 --> 00:12:46,280 Speaker 1: just have a dog who wants to go out. But 225 00:12:46,800 --> 00:12:49,120 Speaker 1: I have a very and this is you know, if 226 00:12:49,120 --> 00:12:50,800 Speaker 1: this were a human being I was talking about, I 227 00:12:50,880 --> 00:12:53,800 Speaker 1: think I'd be calling you know, child protective Services would 228 00:12:53,800 --> 00:12:55,680 Speaker 1: be called on me. But I have I get to 229 00:12:55,720 --> 00:12:58,360 Speaker 1: make the choice of like, look, it's only gonna be 230 00:12:58,440 --> 00:13:01,480 Speaker 1: some pe If I I could in exchange for sleep, 231 00:13:02,080 --> 00:13:04,320 Speaker 1: I can know that I will have to clean up PA, 232 00:13:05,000 --> 00:13:07,400 Speaker 1: and then I can make that decision that which I 233 00:13:07,440 --> 00:13:11,480 Speaker 1: guess if I can't do with the child. Yeah, yeah, yeah, 234 00:13:11,480 --> 00:13:15,280 Speaker 1: we we just we just let the ride kids. Yeah, 235 00:13:15,640 --> 00:13:18,320 Speaker 1: we let them sleep in it for you know, hopefully 236 00:13:18,320 --> 00:13:20,000 Speaker 1: if they sleep through the night, that's good. They had 237 00:13:20,000 --> 00:13:21,559 Speaker 1: to have slept through a little bit of p to 238 00:13:21,600 --> 00:13:25,400 Speaker 1: do that, and that's actually better than the alternative sound 239 00:13:25,480 --> 00:13:28,440 Speaker 1: sleep for them and for us. What's something you think 240 00:13:28,520 --> 00:13:31,880 Speaker 1: is underrated? Here's a controversial one. I think maybe for 241 00:13:31,920 --> 00:13:36,360 Speaker 1: some people, but I think SNL. I'm a huge sn 242 00:13:36,480 --> 00:13:38,320 Speaker 1: L head. I don't know if it's something about like 243 00:13:38,360 --> 00:13:41,080 Speaker 1: being an immigrant kid, where like we're like child of immigrants. 244 00:13:41,080 --> 00:13:44,040 Speaker 1: When it was like a weekly view into pop culture, 245 00:13:44,120 --> 00:13:46,080 Speaker 1: that like it was really a grab bag. Like I 246 00:13:46,080 --> 00:13:50,000 Speaker 1: find myself continually, you know, not always loving it, but 247 00:13:50,120 --> 00:13:53,560 Speaker 1: finding it a useful thing to watch every week and enjoy, like, 248 00:13:54,200 --> 00:13:56,400 Speaker 1: and you know, occasionally I think there's a lot of 249 00:13:56,480 --> 00:14:00,320 Speaker 1: underrated sketches there. And also having done live podcast US 250 00:14:00,360 --> 00:14:03,480 Speaker 1: and really struggling with them, that job is hard. It's 251 00:14:03,520 --> 00:14:06,720 Speaker 1: really hard, like doing stuff live is not easy. So 252 00:14:06,800 --> 00:14:09,240 Speaker 1: I think SNL is it kind of still an achievement 253 00:14:09,280 --> 00:14:12,360 Speaker 1: to me, and I will I will ride for many 254 00:14:12,400 --> 00:14:14,839 Speaker 1: many seasons of it. There are some seasons that are 255 00:14:14,840 --> 00:14:17,840 Speaker 1: not good. But even then, deep deep in the deep, 256 00:14:17,840 --> 00:14:19,360 Speaker 1: in the back end of the hour and a half, 257 00:14:19,360 --> 00:14:21,800 Speaker 1: you'll find a good sketch here and there. I think 258 00:14:21,800 --> 00:14:24,440 Speaker 1: you've gotten much better in the last with the new 259 00:14:24,720 --> 00:14:29,480 Speaker 1: The new cast members are great. Maybe they're just because 260 00:14:29,520 --> 00:14:32,920 Speaker 1: they're Yeah, they're just like more more my speed. Yeah, 261 00:14:33,120 --> 00:14:36,160 Speaker 1: I've just always you know, gone in hoping for as 262 00:14:36,240 --> 00:14:40,280 Speaker 1: much Alec Baldwin as possible in my SNL. Concerning now, 263 00:14:40,480 --> 00:14:42,880 Speaker 1: I haven't watched it in a in a while. I 264 00:14:42,920 --> 00:14:48,400 Speaker 1: think it was like those Baldwin Trump episodes that was 265 00:14:48,520 --> 00:14:51,320 Speaker 1: like but but yeah, when I do get a sketch 266 00:14:51,360 --> 00:14:54,320 Speaker 1: forwarded to me, I always enjoy it, and it is 267 00:14:54,360 --> 00:14:59,359 Speaker 1: the ultimate death knell of you're I feel like relevance 268 00:14:59,440 --> 00:15:01,920 Speaker 1: is to be like SNL sucks now. It used to 269 00:15:01,920 --> 00:15:05,360 Speaker 1: be good when I was in my twins. That is 270 00:15:05,400 --> 00:15:11,040 Speaker 1: an objective fact and in no way tied to my aging. Yeah, well, 271 00:15:11,080 --> 00:15:15,360 Speaker 1: what are they gonna do with Baldwin's case? I don't 272 00:15:15,360 --> 00:15:17,680 Speaker 1: know if you're ever gonna come back on with the 273 00:15:19,200 --> 00:15:23,520 Speaker 1: with the shooting kiss, I'll see, I guess. And have 274 00:15:23,680 --> 00:15:26,520 Speaker 1: you been ammad you've ridden with it for like the 275 00:15:26,560 --> 00:15:31,320 Speaker 1: whole time? Yeah, yeah, yeah, I never stopped watching it. 276 00:15:31,400 --> 00:15:34,240 Speaker 1: My family watches it on like it's something my siblings 277 00:15:34,240 --> 00:15:37,240 Speaker 1: I've always done. We continue to do it. I don't. 278 00:15:37,400 --> 00:15:40,160 Speaker 1: I don't know why. I think. Also I'm printed on 279 00:15:40,280 --> 00:15:42,480 Speaker 1: my older sisters who are like almost ten years older 280 00:15:42,480 --> 00:15:44,920 Speaker 1: than me. It was like, weirdly something we agreed on 281 00:15:45,280 --> 00:15:50,120 Speaker 1: and you know, never changed. Really yeah, yeah, it's a 282 00:15:50,200 --> 00:15:53,320 Speaker 1: nice little ritual. Well. Also the YouTube of it really helps, 283 00:15:53,320 --> 00:15:55,680 Speaker 1: like sketch comedy, because it is like you could just 284 00:15:55,720 --> 00:15:59,160 Speaker 1: watch the good parts, like you know, you can watch 285 00:15:59,200 --> 00:16:03,280 Speaker 1: it on two times eat. It doesn't waste an hour 286 00:16:03,320 --> 00:16:04,680 Speaker 1: and a half of your time, you know what I mean. 287 00:16:04,720 --> 00:16:06,640 Speaker 1: There's no commercials you I watch it on YouTube. By 288 00:16:06,640 --> 00:16:09,160 Speaker 1: the way, I don't watch it like but yeah that 289 00:16:09,280 --> 00:16:11,880 Speaker 1: to be fair when I mean, like I actually do 290 00:16:11,920 --> 00:16:13,480 Speaker 1: ask my sister, like I was like, did you see 291 00:16:13,520 --> 00:16:15,160 Speaker 1: that Michael B. Jordan's one, which was the last one 292 00:16:15,200 --> 00:16:17,240 Speaker 1: that was just odd? And we don't like talking about 293 00:16:17,240 --> 00:16:20,880 Speaker 1: the sketches and stuff. So yeah, yeah, I love a 294 00:16:20,880 --> 00:16:24,720 Speaker 1: good family like media tradition, Like I have a friend 295 00:16:24,760 --> 00:16:28,960 Speaker 1: whose family just always watch sixty minutes together and they 296 00:16:29,280 --> 00:16:33,600 Speaker 1: won't miss sixty minutes like no matter what. And yeah, 297 00:16:34,200 --> 00:16:37,080 Speaker 1: so as somebody who's watched, I feel like more SNL 298 00:16:37,240 --> 00:16:42,360 Speaker 1: than anybody and that I've ever spoken to having like 299 00:16:42,440 --> 00:16:45,200 Speaker 1: stuck with it through the thick and thin. Is there 300 00:16:45,320 --> 00:16:47,480 Speaker 1: a season? Is there a cast member that you feel 301 00:16:47,520 --> 00:16:51,920 Speaker 1: like everybody slept on a season or cast member everybody 302 00:16:51,960 --> 00:16:54,640 Speaker 1: slept on? Well, I was gonna say a sketch that 303 00:16:54,720 --> 00:16:57,600 Speaker 1: I think is really good sketch for you to go see, 304 00:16:57,640 --> 00:16:59,360 Speaker 1: because I feel like, give us a deep cut sketch. 305 00:16:59,520 --> 00:17:01,320 Speaker 1: It's not that deep of a cut, but I'll just 306 00:17:01,960 --> 00:17:05,199 Speaker 1: I mean maybe if you're not medium. Which is the 307 00:17:05,240 --> 00:17:09,199 Speaker 1: Career Day sketch with Adam Driver where Adam Driver plays 308 00:17:09,320 --> 00:17:13,080 Speaker 1: like this decrepit twenty year old father of like a 309 00:17:13,119 --> 00:17:15,399 Speaker 1: team like a twelve years like Pete Davidson is like 310 00:17:15,400 --> 00:17:17,199 Speaker 1: supposed to be like fifteen, and he just comes in 311 00:17:17,280 --> 00:17:19,760 Speaker 1: and like talks about you know what it was like 312 00:17:19,840 --> 00:17:22,919 Speaker 1: growing up? Is like a robber Barry. It's like because 313 00:17:23,200 --> 00:17:26,640 Speaker 1: he commits to the sketch so hard. You've seen Adam Driver. 314 00:17:26,760 --> 00:17:28,600 Speaker 1: You know, you know good soup. You know, like how 315 00:17:28,640 --> 00:17:31,600 Speaker 1: intense he gets. He brings that level of intensity of 316 00:17:31,640 --> 00:17:34,560 Speaker 1: that character. And it is like also like a good 317 00:17:34,560 --> 00:17:37,119 Speaker 1: example of why live is good is he freaks everyone 318 00:17:37,119 --> 00:17:39,480 Speaker 1: out in the room. He's so dead about it. I 319 00:17:39,480 --> 00:17:41,719 Speaker 1: can see there's moments where like he like stabs like 320 00:17:42,280 --> 00:17:45,880 Speaker 1: a like a prop raven with his cane and everyone 321 00:17:46,040 --> 00:17:48,359 Speaker 1: jumps because he wasn't supposed to do. It's like that's 322 00:17:48,400 --> 00:17:51,320 Speaker 1: something that's magical about it that like he done. It's 323 00:17:51,359 --> 00:17:53,440 Speaker 1: like it's a weird alchemy that you wouldn't see in 324 00:17:53,480 --> 00:17:56,840 Speaker 1: other places. Yeah, that's great that he does SNL because 325 00:17:56,880 --> 00:18:02,479 Speaker 1: I feel like, you know, the super committed but I'm 326 00:18:02,560 --> 00:18:06,159 Speaker 1: Dringald blank on the guy Blade Lincoln and is for 327 00:18:06,280 --> 00:18:12,400 Speaker 1: freaking everybody out on set. Yeah, what's what's his name? Daniel? Yes, 328 00:18:13,520 --> 00:18:19,239 Speaker 1: like Dan day Lewis as I call never never like 329 00:18:19,440 --> 00:18:22,000 Speaker 1: kind of we we never got to see that aspect 330 00:18:22,000 --> 00:18:24,840 Speaker 1: of like his intensity freaking everybody out. So that's cool 331 00:18:24,880 --> 00:18:28,000 Speaker 1: that Adam Driver does it. I commend that. I like 332 00:18:28,080 --> 00:18:30,760 Speaker 1: when the guests are like drama kids that really go 333 00:18:30,920 --> 00:18:33,080 Speaker 1: for it. I feel like Joseph Mark, it's a great example, 334 00:18:33,080 --> 00:18:35,480 Speaker 1: where he's just like he's been ready for this his 335 00:18:35,680 --> 00:18:38,399 Speaker 1: entire life, and like everything is the same level of 336 00:18:38,440 --> 00:18:41,520 Speaker 1: commitment no matter why. Yeah. One person that I will 337 00:18:41,600 --> 00:18:43,720 Speaker 1: ride for that I think is very funny is Vanessa Bear, 338 00:18:43,800 --> 00:18:47,400 Speaker 1: who's the cast member who has this like amazing gummy 339 00:18:47,480 --> 00:18:50,520 Speaker 1: smile that she uses to great effect on like the 340 00:18:50,560 --> 00:18:52,960 Speaker 1: Totino sketch. If you remember the Totino sketches where she 341 00:18:53,000 --> 00:18:56,879 Speaker 1: plays like the disaffected housewife who all the guys watching 342 00:18:56,920 --> 00:18:59,399 Speaker 1: the super Bowl like want her to make that for 343 00:18:59,440 --> 00:19:01,399 Speaker 1: a hungry guy. It's like it's such an amazing and 344 00:19:01,520 --> 00:19:04,479 Speaker 1: unusual role like for that, like she gets to you know, 345 00:19:05,280 --> 00:19:07,439 Speaker 1: like kind of an energy she you wouldn't see as 346 00:19:07,480 --> 00:19:10,000 Speaker 1: much in sketch count comedy that she she does really well. 347 00:19:10,040 --> 00:19:12,200 Speaker 1: I feel like, yeah, she's no longer in the show. 348 00:19:12,240 --> 00:19:14,720 Speaker 1: She's a former cast, but I really like the current cast. Andrew, 349 00:19:14,760 --> 00:19:16,320 Speaker 1: like you're saying, there's a lot of new people like 350 00:19:16,400 --> 00:19:20,200 Speaker 1: Ego and Pinky and and there's a lot of new 351 00:19:20,200 --> 00:19:23,560 Speaker 1: people that I like, Yeah, yeah, weird l A people. 352 00:19:23,560 --> 00:19:27,719 Speaker 1: It's the best. Yeah, they really went with that La 353 00:19:27,800 --> 00:19:32,200 Speaker 1: Comedy scene Vanessa Bears character where she's playing the young 354 00:19:32,320 --> 00:19:35,520 Speaker 1: boy Who's I think being bought Mitz foed or bar 355 00:19:35,640 --> 00:19:39,240 Speaker 1: Mitz fed is one of my favorite things. That's just 356 00:19:39,480 --> 00:19:43,480 Speaker 1: one of my favorite comedic comedic performances. And now if 357 00:19:43,480 --> 00:19:46,800 Speaker 1: you know that, yeah, I just just not I've like 358 00:19:46,920 --> 00:19:50,680 Speaker 1: fallen off in the past few years. So but Vanessa 359 00:19:50,720 --> 00:19:53,840 Speaker 1: Bear currently has a podcast on our sister network, Big 360 00:19:53,840 --> 00:19:56,920 Speaker 1: Money Players Nice. So that's been very cool. I guess 361 00:19:56,920 --> 00:19:58,399 Speaker 1: I'll have to listen to that if I'm writing for 362 00:20:00,040 --> 00:20:02,720 Speaker 1: we Get Weird. All right, let's take a quick break, 363 00:20:02,800 --> 00:20:16,439 Speaker 1: we'll come back, We'll talk about some news, and we're back. 364 00:20:17,200 --> 00:20:22,520 Speaker 1: And so big strike happened in the UK. Teachers, train 365 00:20:22,640 --> 00:20:26,320 Speaker 1: drivers joined civil servants and other workers for a mass 366 00:20:26,320 --> 00:20:29,520 Speaker 1: strike on Wednesday, dubbed walk Out Wednesday, the biggest strike 367 00:20:29,560 --> 00:20:34,440 Speaker 1: action in a decade, which closed of schools. And this 368 00:20:34,560 --> 00:20:38,040 Speaker 1: is just the latest strike action in the UK protesting 369 00:20:38,119 --> 00:20:40,960 Speaker 1: low wages. There's been a wave of strikes in recent 370 00:20:41,000 --> 00:20:44,800 Speaker 1: months across the public and private sectors, including Amazon workers 371 00:20:44,800 --> 00:20:49,240 Speaker 1: and postal staff. Nurses, paramedics, other healthcare workers are set 372 00:20:49,280 --> 00:20:52,600 Speaker 1: to strike next week. And I feel like, I don't know, 373 00:20:53,119 --> 00:20:55,960 Speaker 1: it doesn't do you feel like this is being covered 374 00:20:56,240 --> 00:20:59,600 Speaker 1: much in in the US. Media. I feel like I 375 00:20:59,640 --> 00:21:03,760 Speaker 1: haven't seen a great deal of coverage on this. No, 376 00:21:03,960 --> 00:21:08,800 Speaker 1: it's I feel like like the the extra lifeblood of 377 00:21:08,960 --> 00:21:13,880 Speaker 1: America is like suppressing labor and anything to do that 378 00:21:14,560 --> 00:21:17,879 Speaker 1: is what it takes to keep America running. Yeah, it 379 00:21:17,880 --> 00:21:21,159 Speaker 1: really feels like a like a an allergic reaction that 380 00:21:21,240 --> 00:21:25,080 Speaker 1: we have to any any message, that any story that 381 00:21:25,800 --> 00:21:29,280 Speaker 1: leads you in in a left left word direct or 382 00:21:29,320 --> 00:21:31,840 Speaker 1: even yeah, or even to consider should I be striking? 383 00:21:32,240 --> 00:21:35,359 Speaker 1: Like that is the question they absolutely do not want 384 00:21:35,640 --> 00:21:40,000 Speaker 1: anyone asking themselves in America. Yeah, well, this is a 385 00:21:40,040 --> 00:21:43,080 Speaker 1: related story, which is the nurses walk out and Montefior 386 00:21:43,160 --> 00:21:45,480 Speaker 1: and the Bronx in New York. That was like, I 387 00:21:45,480 --> 00:21:47,119 Speaker 1: felt like that got a decent amount of coverage on 388 00:21:47,240 --> 00:21:49,760 Speaker 1: NPR where you know. And then the other thing that 389 00:21:49,880 --> 00:21:51,720 Speaker 1: was brought up was the that I saw in that 390 00:21:51,760 --> 00:21:56,040 Speaker 1: story was the ridiculous wages that the that the scab 391 00:21:56,320 --> 00:21:58,880 Speaker 1: nurses or the travel nurses or whatever you wanna call them, 392 00:21:58,880 --> 00:22:00,760 Speaker 1: the travel that the one that kind of filled in, 393 00:22:01,040 --> 00:22:03,800 Speaker 1: they're being paid some ridiculous like hundreds of dollars an 394 00:22:03,840 --> 00:22:06,440 Speaker 1: hour to fill in. And then I think, what's interesting 395 00:22:06,440 --> 00:22:08,360 Speaker 1: because also when the strikers resolved, it's kind of like 396 00:22:08,880 --> 00:22:11,800 Speaker 1: it's fine now, Like, you know, it's not really. It's 397 00:22:11,800 --> 00:22:14,000 Speaker 1: just like the reason they're striking is because things have 398 00:22:14,119 --> 00:22:17,240 Speaker 1: been so unsustainable for so long. It might get you 399 00:22:17,240 --> 00:22:19,840 Speaker 1: closer to equilibrium, but it's really not where the workers 400 00:22:19,880 --> 00:22:21,600 Speaker 1: want to go a lot of the times too, So 401 00:22:21,640 --> 00:22:22,919 Speaker 1: it's like a little bit of both. It's like the 402 00:22:22,920 --> 00:22:25,159 Speaker 1: coverage is like, oh, the strike is happening, but you know, 403 00:22:25,320 --> 00:22:27,320 Speaker 1: it's it's a it's a reflection of like a longer 404 00:22:27,400 --> 00:22:31,400 Speaker 1: trend of devaluing workers. And then when it's like resolved, 405 00:22:31,440 --> 00:22:34,840 Speaker 1: it's like it's usually abandoned. It's really abandoned for inflation 406 00:22:34,880 --> 00:22:36,800 Speaker 1: and all the other stuff happening that's causing them to 407 00:22:37,119 --> 00:22:40,399 Speaker 1: you know, want to walk up. Yeah, the Amtrak strike 408 00:22:40,440 --> 00:22:45,480 Speaker 1: being broken was like just fucking horrible. It was just brutal, 409 00:22:45,520 --> 00:22:51,720 Speaker 1: moving along, moving along. Yeah, Okay, everything's good now. Yeah. 410 00:22:51,800 --> 00:22:55,359 Speaker 1: But again, like the public public opinion is in like 411 00:22:55,440 --> 00:22:58,399 Speaker 1: more than half of people are in favor of the 412 00:22:58,560 --> 00:23:02,800 Speaker 1: educational sector striking in the UK. Generally, there's always more 413 00:23:02,800 --> 00:23:08,159 Speaker 1: public support for strikes and labor organizing in the US 414 00:23:08,359 --> 00:23:12,840 Speaker 1: than I'm usually expecting based on how just kind of 415 00:23:13,000 --> 00:23:15,560 Speaker 1: much of a non story. It's always treated as in 416 00:23:15,600 --> 00:23:19,520 Speaker 1: the media, and it really it really feels like, I 417 00:23:19,520 --> 00:23:23,800 Speaker 1: don't know, like people are at a point after you know, 418 00:23:23,960 --> 00:23:28,720 Speaker 1: so many years of just being being like seeing over 419 00:23:28,760 --> 00:23:31,800 Speaker 1: and over again, and we'll kind of keep returning to 420 00:23:31,840 --> 00:23:35,479 Speaker 1: this and the stories about Ticketmaster and Shell. But that like, 421 00:23:35,600 --> 00:23:39,119 Speaker 1: the corporations will treat you as badly as they can 422 00:23:39,240 --> 00:23:43,080 Speaker 1: legally get away with treating you, or worse if they 423 00:23:43,320 --> 00:23:47,120 Speaker 1: if they could get away with it just quietly. Yeah, 424 00:23:47,240 --> 00:23:49,680 Speaker 1: I mean, I think the pitch to like every worker 425 00:23:50,320 --> 00:23:52,719 Speaker 1: is like, hey, you know the thing that gives you 426 00:23:52,800 --> 00:23:55,000 Speaker 1: the most power against the boss that you hate, it's 427 00:23:55,000 --> 00:23:57,760 Speaker 1: actually doing the thing that you like most, not working, 428 00:23:58,240 --> 00:24:04,680 Speaker 1: So consider it is powerful and actually good. Yeah. There 429 00:24:04,800 --> 00:24:07,639 Speaker 1: was one like little viral moment where like Channel four 430 00:24:08,200 --> 00:24:12,119 Speaker 1: earned praise by showing solidarity with the workers by airing 431 00:24:12,160 --> 00:24:15,639 Speaker 1: the Simpsons episode where Homer goes on strike on Wednesday, 432 00:24:16,040 --> 00:24:19,119 Speaker 1: the day of the walkout, and they but they like 433 00:24:19,160 --> 00:24:23,480 Speaker 1: claimed it was a coincidence. It's just like snuck is weird, 434 00:24:23,560 --> 00:24:25,480 Speaker 1: Like why do you have to claim it's a coincidence. 435 00:24:25,520 --> 00:24:28,760 Speaker 1: This is a thing that's happening, don't you know? Do 436 00:24:28,800 --> 00:24:32,679 Speaker 1: you have to do it? Isn't it? I mean, I 437 00:24:32,720 --> 00:24:37,159 Speaker 1: guess it's I will say, like playing reruns from my 438 00:24:37,240 --> 00:24:39,520 Speaker 1: brief time when I worked at Comedy Central, it seems 439 00:24:39,560 --> 00:24:42,600 Speaker 1: like much more complicated and longer thought out than I 440 00:24:42,680 --> 00:24:46,600 Speaker 1: ever realized. So I guess I'm saying there is a 441 00:24:46,720 --> 00:24:49,240 Speaker 1: chance it was a coincidence. It was a coincidence. Okay, 442 00:24:49,280 --> 00:24:53,400 Speaker 1: I got it. You know, you never know, but like yeah, 443 00:24:53,400 --> 00:24:57,040 Speaker 1: because that that it's just like unbelievably tedious to like 444 00:24:57,480 --> 00:25:00,440 Speaker 1: which episode of The Simpsons are we playing now? Okay, 445 00:25:00,480 --> 00:25:05,240 Speaker 1: we have to clear everything everything every Yeah, that makes sense, 446 00:25:05,400 --> 00:25:08,560 Speaker 1: all right. Moving on to the a civil suit against 447 00:25:08,640 --> 00:25:13,879 Speaker 1: Kyle Rittenhouse that a judge refused to throw out. John Huber, 448 00:25:14,000 --> 00:25:16,679 Speaker 1: the father of one of Kyle Rittenhouse victims, is suing 449 00:25:17,000 --> 00:25:21,200 Speaker 1: Rittenhouse and the government, claiming that he conspired with officers 450 00:25:21,240 --> 00:25:27,080 Speaker 1: to cause harm to protesters, which seems pretty undeniable. Like 451 00:25:28,880 --> 00:25:34,679 Speaker 1: just reading like parts of the case, it's just like 452 00:25:34,800 --> 00:25:38,240 Speaker 1: it's like, yeah, that that happened that, you know, we 453 00:25:38,240 --> 00:25:42,439 Speaker 1: we've kind of gotten some distance from it. And the 454 00:25:42,440 --> 00:25:45,760 Speaker 1: there was the case that where he was found not guilty, 455 00:25:45,960 --> 00:25:50,080 Speaker 1: but like that just the description like despite openly caring 456 00:25:50,080 --> 00:25:53,840 Speaker 1: a rifle. The complaint states that Rittenhouse was never questioned 457 00:25:53,880 --> 00:25:56,240 Speaker 1: by authorities at the time. Written House was a minor 458 00:25:56,400 --> 00:25:59,040 Speaker 1: unauthorized to possess such a weapon, and like couldn't have 459 00:25:59,080 --> 00:26:02,440 Speaker 1: looked more the editor realized, but they couldn't have looked 460 00:26:02,440 --> 00:26:05,080 Speaker 1: more like a child holding it us all rightful law 461 00:26:05,160 --> 00:26:09,280 Speaker 1: enforcement forced protesters into a confined area with hostile armed 462 00:26:09,280 --> 00:26:13,520 Speaker 1: individuals and failed to protect the protesters from violence perpetrated 463 00:26:13,560 --> 00:26:18,640 Speaker 1: by the armed individuals. Yeah, that's like also though, every 464 00:26:18,800 --> 00:26:23,440 Speaker 1: police like every time the police are dealing with protesters 465 00:26:23,440 --> 00:26:27,080 Speaker 1: who aren't Nazis, so like right, that's the thing where 466 00:26:27,160 --> 00:26:29,400 Speaker 1: I mean, if the civil suit goes through, I think, 467 00:26:29,520 --> 00:26:32,439 Speaker 1: like I do feel like the whole like quote unquote 468 00:26:32,520 --> 00:26:34,639 Speaker 1: justice system is going to be like fighting against this 469 00:26:34,680 --> 00:26:36,840 Speaker 1: because it's really like hits to the core of their 470 00:26:36,880 --> 00:26:43,080 Speaker 1: business model. Yeah, it's so fucking grim. It's terrible to 471 00:26:43,240 --> 00:26:45,720 Speaker 1: have to see written Houses face on Twitter every now 472 00:26:45,720 --> 00:26:50,520 Speaker 1: and again. It's like, it's actually amazing. Yeah, And the 473 00:26:50,960 --> 00:26:54,120 Speaker 1: so I was assuming like, yeah, it was the their 474 00:26:54,240 --> 00:26:58,760 Speaker 1: argument for throwing dismissing the case that this judge overturned was, 475 00:26:59,359 --> 00:27:03,879 Speaker 1: you know, something along the lines of the argument that 476 00:27:04,000 --> 00:27:07,639 Speaker 1: he used to be found not guilty, but in fact 477 00:27:08,119 --> 00:27:11,359 Speaker 1: it's just he's been hiding from them when they were 478 00:27:11,359 --> 00:27:15,920 Speaker 1: trying to serve him with the with the papers. One 479 00:27:15,920 --> 00:27:19,880 Speaker 1: of the main arguments was that he wasn't properly served. 480 00:27:20,320 --> 00:27:22,480 Speaker 1: In order to sue him, Huber had to hire private 481 00:27:22,480 --> 00:27:26,679 Speaker 1: investigators to track down Mr. Rittenhouse's residents, which required searching 482 00:27:26,680 --> 00:27:29,480 Speaker 1: addresses in seven states. All they could find was his 483 00:27:29,560 --> 00:27:32,119 Speaker 1: mom and sister's play in Florida, so they served his sister, 484 00:27:32,320 --> 00:27:34,720 Speaker 1: who claimed he was not at home, and the judge 485 00:27:34,800 --> 00:27:39,000 Speaker 1: was like, that's what you're talking about. It is a 486 00:27:39,040 --> 00:27:42,720 Speaker 1: wild like part of the US justice system that you 487 00:27:42,760 --> 00:27:44,680 Speaker 1: can just like that, there's like a hide and seek 488 00:27:45,160 --> 00:27:48,520 Speaker 1: stage of getting to well. It's also funny because like, yeah, 489 00:27:48,680 --> 00:27:50,560 Speaker 1: when you talk about Kyle the House on Twitter, he 490 00:27:50,720 --> 00:27:53,320 Speaker 1: gives us or like that, he's like, I'm like a 491 00:27:53,359 --> 00:27:58,240 Speaker 1: brave patriot. He's like he's a child hiding from the 492 00:27:58,280 --> 00:28:01,320 Speaker 1: consequences of his actions. Is it really shows you what 493 00:28:01,440 --> 00:28:03,840 Speaker 1: you know the character there? It is like, yeah, he's 494 00:28:03,880 --> 00:28:07,200 Speaker 1: like such a weenie at every stage of everything. It 495 00:28:07,280 --> 00:28:09,720 Speaker 1: is just like yeah, just kind of some kind of 496 00:28:09,720 --> 00:28:14,960 Speaker 1: fascist Alfredy Newman walking around with a gun, right, yeah, 497 00:28:15,000 --> 00:28:17,399 Speaker 1: but yeah, it just feels like, I don't know, a 498 00:28:17,480 --> 00:28:21,160 Speaker 1: good maybe this civil suit can be a sort of 499 00:28:21,200 --> 00:28:23,439 Speaker 1: this is water moment where you get to take a 500 00:28:23,440 --> 00:28:27,120 Speaker 1: step back and see this event for what it is. 501 00:28:27,400 --> 00:28:31,480 Speaker 1: That like, there's just an implicit assumption in our society 502 00:28:31,480 --> 00:28:35,160 Speaker 1: that the conservative, gun toting, white supremacist side is going 503 00:28:35,200 --> 00:28:37,880 Speaker 1: to be treated like they're on the same team as 504 00:28:37,920 --> 00:28:47,360 Speaker 1: the police. That's that's wild. It's it's very spitor man meme. Yeah, yeah, 505 00:28:47,880 --> 00:28:51,400 Speaker 1: all right. And then finally some good news shell Oil 506 00:28:51,560 --> 00:28:58,920 Speaker 1: is the profits who boo, Yeah, profit profits hit thirty 507 00:28:59,000 --> 00:29:04,360 Speaker 1: nine point nine billion in two, double last year's total 508 00:29:04,480 --> 00:29:09,680 Speaker 1: and the highest and it's fifteen year history. So the 509 00:29:09,840 --> 00:29:14,280 Speaker 1: year two, we remember what that year was was like 510 00:29:14,640 --> 00:29:20,480 Speaker 1: with the prices skyrocketing and everyone saying this is unavoidable, 511 00:29:20,720 --> 00:29:26,720 Speaker 1: and this being a key feature of how we were 512 00:29:26,760 --> 00:29:31,000 Speaker 1: feeling the pressure of inflation and lack of affordability that 513 00:29:31,440 --> 00:29:35,080 Speaker 1: is driving the strikes that we just talked about, you know, 514 00:29:35,240 --> 00:29:39,000 Speaker 1: and people just not being able to live. So that 515 00:29:39,000 --> 00:29:44,960 Speaker 1: that year was double year over year profits for a 516 00:29:45,040 --> 00:29:48,440 Speaker 1: company that is one of the biggest, most profitable companies 517 00:29:48,680 --> 00:29:52,640 Speaker 1: in the world. And I know this is like a 518 00:29:54,200 --> 00:29:56,000 Speaker 1: The fact that I even have to ask this probably 519 00:29:56,040 --> 00:29:59,360 Speaker 1: tells you exactly. It's like a problem with both my 520 00:29:59,480 --> 00:30:04,600 Speaker 1: like rear in general, and like it's just like what 521 00:30:04,800 --> 00:30:07,760 Speaker 1: is enough money? Like at a certain point, like you 522 00:30:07,920 --> 00:30:11,120 Speaker 1: have to have enough money, right, like in what is 523 00:30:11,160 --> 00:30:14,160 Speaker 1: the point of even this? Like what are you gonna 524 00:30:14,240 --> 00:30:16,000 Speaker 1: spend it on? You're gonna be living in God, I 525 00:30:16,000 --> 00:30:17,720 Speaker 1: guess you're gonna be in the dome and everyone else 526 00:30:17,800 --> 00:30:21,720 Speaker 1: is in the water world. But yeah, this is money 527 00:30:21,760 --> 00:30:25,400 Speaker 1: you're accruing. It's and it's the scene in Doctor Strange 528 00:30:25,440 --> 00:30:27,880 Speaker 1: Love where they're like, well, you know, we could all 529 00:30:28,000 --> 00:30:31,520 Speaker 1: just move into this cave, and you know there would 530 00:30:31,520 --> 00:30:33,640 Speaker 1: be a lot of men, but we would need to 531 00:30:33,720 --> 00:30:38,560 Speaker 1: really like procreate for populate the world. It's it is 532 00:30:38,680 --> 00:30:43,080 Speaker 1: that grim, like dark moment where the masters of the 533 00:30:43,160 --> 00:30:47,160 Speaker 1: universe are secretly plotting to just be like, yeah, well 534 00:30:47,160 --> 00:30:50,320 Speaker 1: that's it sounds like a y plan change, sounds like 535 00:30:50,320 --> 00:30:53,280 Speaker 1: a you're you problem. And I'm over here trying to 536 00:30:53,320 --> 00:30:58,440 Speaker 1: figure out how to move this forty billion dollars best 537 00:30:59,120 --> 00:31:01,800 Speaker 1: so I know I will be long dead when this 538 00:31:01,880 --> 00:31:05,440 Speaker 1: goes down. But when these people's militias turn against them 539 00:31:05,480 --> 00:31:09,600 Speaker 1: at the very first second of the apocalypse will be 540 00:31:09,720 --> 00:31:14,880 Speaker 1: very satisfying. Yeah, they're also being sued by fourteen thousand 541 00:31:14,920 --> 00:31:19,600 Speaker 1: people in Nigeria for completely destroying the local ecology their 542 00:31:19,600 --> 00:31:24,440 Speaker 1: way of life and are so sensitive to that sort 543 00:31:24,480 --> 00:31:28,560 Speaker 1: of thing. I know, so, but again, like I don't 544 00:31:28,600 --> 00:31:31,920 Speaker 1: know that these these sorts of lawsuits. You know, even 545 00:31:31,960 --> 00:31:35,960 Speaker 1: when they do win in local court, they find a 546 00:31:35,960 --> 00:31:39,960 Speaker 1: way to just tie it up and endless. You know, 547 00:31:40,320 --> 00:31:44,280 Speaker 1: they put that forty billion to good use in legal fees. 548 00:31:44,720 --> 00:31:46,880 Speaker 1: All you could do is hurt that pile of money 549 00:31:46,880 --> 00:31:50,320 Speaker 1: which appears to be the thing worth destroying the world for. 550 00:31:51,760 --> 00:31:54,520 Speaker 1: And there's like no amount of fines you could give them. 551 00:31:55,120 --> 00:31:58,640 Speaker 1: It's yeah, kind of like they're bad, bad thing for 552 00:31:58,680 --> 00:32:02,120 Speaker 1: the earth. I'll get kind of almost like that. Yeah, 553 00:32:02,120 --> 00:32:04,680 Speaker 1: well we'll google that and get back to you on 554 00:32:04,720 --> 00:32:07,240 Speaker 1: that one. All right, let's take a quick break, we'll 555 00:32:07,240 --> 00:32:20,600 Speaker 1: come back. We'll talk about the ugly produce movement, and 556 00:32:20,720 --> 00:32:26,800 Speaker 1: we're back. And so sprouts will now have an ugly 557 00:32:26,880 --> 00:32:30,040 Speaker 1: section for their produce in California, Like in addition to 558 00:32:30,240 --> 00:32:34,880 Speaker 1: organic that there will be an ugly section where just 559 00:32:35,120 --> 00:32:40,280 Speaker 1: misshapen off color, over or undersized let me see which 560 00:32:40,360 --> 00:32:47,760 Speaker 1: fruits they actually named, because it would be they named potatoes, onions, grapefruit, lemons, oranges, pears, carrots, 561 00:32:47,880 --> 00:32:52,960 Speaker 1: kiwi and bell peppers were the most fucked up dish 562 00:32:53,000 --> 00:32:59,560 Speaker 1: you've ever had, exactly. But basically, the there's a sorting 563 00:32:59,600 --> 00:33:05,400 Speaker 1: process us that happens before produced reaches grocery shelves, and 564 00:33:06,600 --> 00:33:12,040 Speaker 1: they get rid of any that have visible imperfections in 565 00:33:12,160 --> 00:33:17,040 Speaker 1: favor of, you know, whatever looks like the platonic ideal 566 00:33:17,200 --> 00:33:22,480 Speaker 1: of that fruit essentially, and so people have kind of 567 00:33:22,720 --> 00:33:26,840 Speaker 1: had the idea for a while now actually that this 568 00:33:26,920 --> 00:33:30,920 Speaker 1: is probably contributing to the fact that the U. S 569 00:33:31,000 --> 00:33:33,719 Speaker 1: d A estimates that as much as thirty of the U. 570 00:33:33,760 --> 00:33:38,160 Speaker 1: S food supply goes uneaten. So it's well, we're talking 571 00:33:38,240 --> 00:33:41,480 Speaker 1: it in a little bit, but so whole foods. A 572 00:33:41,520 --> 00:33:44,160 Speaker 1: couple other places tried to start a similar movement in 573 00:33:45,520 --> 00:33:50,160 Speaker 1: but like really couldn't get consumers on board. And there 574 00:33:50,280 --> 00:33:54,000 Speaker 1: was a recent study that said that just the natural 575 00:33:54,160 --> 00:33:58,360 Speaker 1: human assumption is that ugly food is actually worse for us, 576 00:33:58,640 --> 00:34:02,360 Speaker 1: even though it's not like completely incorrect. But a University 577 00:34:02,360 --> 00:34:06,400 Speaker 1: of British Columbia School of Business study found that people 578 00:34:06,440 --> 00:34:10,319 Speaker 1: assume ugly produces less nutritious and less delicious than it's 579 00:34:10,360 --> 00:34:14,360 Speaker 1: better looking counterparts, which is a bummer because it's not true. 580 00:34:14,880 --> 00:34:17,799 Speaker 1: I feel like it says such bad things about humanity 581 00:34:17,840 --> 00:34:21,600 Speaker 1: that like our our idea of you, I mean, you 582 00:34:21,680 --> 00:34:25,680 Speaker 1: say platonic ideal. I'm like, basically, we can't process any 583 00:34:25,680 --> 00:34:28,160 Speaker 1: food that doesn't look like a five year old druid. 584 00:34:29,360 --> 00:34:33,319 Speaker 1: This is like apple, but it's exactly like shape like this. 585 00:34:34,160 --> 00:34:39,400 Speaker 1: Let me search in my emoji apple and typically the 586 00:34:39,400 --> 00:34:41,680 Speaker 1: one that looks the most like an apple has all 587 00:34:41,760 --> 00:34:44,160 Speaker 1: the flavor bread out of it. You don't like the 588 00:34:44,200 --> 00:34:47,800 Speaker 1: red delicious your worst you're you know, platonic ideal of 589 00:34:47,840 --> 00:34:49,680 Speaker 1: what an apple should look like. And it's don't get 590 00:34:49,800 --> 00:34:54,840 Speaker 1: started on red delicious. And we you know this that 591 00:34:55,280 --> 00:34:58,439 Speaker 1: you know article that I wrote. I wrote this article. 592 00:34:58,520 --> 00:35:03,000 Speaker 1: But the mango market on WhatsApp and mangoes in America 593 00:35:03,080 --> 00:35:06,240 Speaker 1: are very beautiful, and the ones that come from India 594 00:35:06,360 --> 00:35:10,680 Speaker 1: box down Asia are these like bruised, little soft, messed 595 00:35:10,719 --> 00:35:14,000 Speaker 1: up things and you and they like covered can be 596 00:35:14,040 --> 00:35:17,400 Speaker 1: covered in black spots, and they are literally ten times 597 00:35:17,440 --> 00:35:20,080 Speaker 1: better than any like people like all your you know, 598 00:35:20,360 --> 00:35:23,400 Speaker 1: Asian parents are gonna be like, mangoes in America aren't mangoes, 599 00:35:23,480 --> 00:35:25,160 Speaker 1: and they really are. When you try them, it's like 600 00:35:25,400 --> 00:35:28,360 Speaker 1: it's like they like taste like apples, you know, the 601 00:35:28,760 --> 00:35:31,640 Speaker 1: Tommy Atkins, and like all they don't have that kind 602 00:35:31,640 --> 00:35:34,520 Speaker 1: of like calmly sweet goodness that And so like this 603 00:35:34,640 --> 00:35:38,160 Speaker 1: article that I wrote, you know, back in was not 604 00:35:39,600 --> 00:35:41,880 Speaker 1: is like about how people will pay eight dollars a 605 00:35:41,880 --> 00:35:44,319 Speaker 1: mango because they know how much better they can be. 606 00:35:44,880 --> 00:35:47,680 Speaker 1: And I think it comes down to people just uh, 607 00:35:47,719 --> 00:35:50,600 Speaker 1: not really being very educated about seasonality. The other thing 608 00:35:50,600 --> 00:35:52,920 Speaker 1: that's crazy about that is when I've people have heard 609 00:35:52,920 --> 00:35:55,200 Speaker 1: about this, they're like, it'll be in January. They'll be like, 610 00:35:55,239 --> 00:35:57,680 Speaker 1: can I get some mangoes. I'm like, you think mangoes 611 00:35:57,760 --> 00:36:01,799 Speaker 1: grow in January? They do not. They only grow for 612 00:36:01,880 --> 00:36:05,320 Speaker 1: a couple of weeks, like you know, it's in the summer, 613 00:36:05,400 --> 00:36:07,600 Speaker 1: like they're not or it's a season, it's not something 614 00:36:07,600 --> 00:36:09,400 Speaker 1: you can get. But here in America you can actually 615 00:36:09,400 --> 00:36:12,160 Speaker 1: get mangoes literally every month of the year because they're 616 00:36:12,280 --> 00:36:14,759 Speaker 1: importing from all sorts of different places, you know. So 617 00:36:14,880 --> 00:36:16,640 Speaker 1: on the misfits thing, I'll just say one thing, which 618 00:36:16,719 --> 00:36:19,840 Speaker 1: is if food waste is the primary problem. Then the 619 00:36:19,840 --> 00:36:22,160 Speaker 1: misfits thing is like a really small part of it. 620 00:36:22,239 --> 00:36:25,200 Speaker 1: Because even still all of the stuff that's coming to 621 00:36:25,239 --> 00:36:28,640 Speaker 1: the market, like they plan to make a profit on it, 622 00:36:28,680 --> 00:36:30,759 Speaker 1: to charge to charge as little as they do, that 623 00:36:30,840 --> 00:36:32,360 Speaker 1: half of it is going to be thrown out like 624 00:36:32,400 --> 00:36:35,520 Speaker 1: they just want you to, you know, they it's it's 625 00:36:35,520 --> 00:36:38,320 Speaker 1: it's a model already built on waste. And yes they're 626 00:36:38,360 --> 00:36:42,600 Speaker 1: slightly supermarkets are slightly reducing their wastes, but it's it's 627 00:36:42,600 --> 00:36:45,360 Speaker 1: really probably not as sustainable as supporting a local farmer 628 00:36:45,440 --> 00:36:47,520 Speaker 1: or cesa, which is you know, they're trying to still 629 00:36:47,520 --> 00:36:50,120 Speaker 1: get you in the door and support their overall very 630 00:36:50,120 --> 00:36:52,360 Speaker 1: bad for the climate. And so I'm a little skeptical 631 00:36:52,360 --> 00:36:54,960 Speaker 1: of these misfits markets. Yeah, I I am too, because 632 00:36:55,160 --> 00:36:57,720 Speaker 1: I mean one of the even even in this article 633 00:36:57,760 --> 00:37:00,399 Speaker 1: and the takeout that covers it, they mention and that 634 00:37:00,960 --> 00:37:03,800 Speaker 1: like when the food gets sorted before it's delivered to 635 00:37:03,800 --> 00:37:06,400 Speaker 1: the grocery stores, it's not just like thrown in a 636 00:37:06,440 --> 00:37:09,000 Speaker 1: can and picked up by the garbage truck. It's actually 637 00:37:09,080 --> 00:37:12,080 Speaker 1: used to feed animals or folded back into the soil 638 00:37:12,160 --> 00:37:14,600 Speaker 1: to add nutrients to the soil. So yeah, it doesn't. 639 00:37:14,640 --> 00:37:17,280 Speaker 1: It doesn't feel like this is the thing that's driving 640 00:37:17,360 --> 00:37:21,520 Speaker 1: food waste. Yeah, yeah, it's not the primary thing. Yet. 641 00:37:21,680 --> 00:37:25,240 Speaker 1: The whole supermarket model in general is just a huge 642 00:37:25,239 --> 00:37:28,399 Speaker 1: contributor to food waste. So they're just trying to kind 643 00:37:28,400 --> 00:37:30,560 Speaker 1: of launder their reputation a little bit. I think, yeah, 644 00:37:30,800 --> 00:37:33,839 Speaker 1: of course, and even these subscription boxes, like I'm not sure, like, 645 00:37:34,080 --> 00:37:37,279 Speaker 1: you know, sure you're eating the wasted stuff, but if 646 00:37:37,320 --> 00:37:40,319 Speaker 1: it's being you know, driven on a gas power, you know, 647 00:37:40,600 --> 00:37:44,080 Speaker 1: a huge massive truck like or delivery event, like, is 648 00:37:44,120 --> 00:37:47,319 Speaker 1: that really more sustainable than just you know, not doing that. 649 00:37:47,400 --> 00:37:49,640 Speaker 1: I don't know, buy from a local farmer or something. 650 00:37:50,040 --> 00:37:52,120 Speaker 1: But to be fair, buying c s A is those 651 00:37:52,160 --> 00:37:54,680 Speaker 1: things are expensive. I've tried, and I waste a lot 652 00:37:54,680 --> 00:37:56,120 Speaker 1: of my C s a s. So you know, I'm 653 00:37:56,160 --> 00:38:00,480 Speaker 1: calling the pot calling the kettle black over here, right, Yeah. 654 00:38:00,560 --> 00:38:03,839 Speaker 1: I mean, we have a very productive lemon tree at 655 00:38:03,840 --> 00:38:08,160 Speaker 1: my house and I love it. It's one of the 656 00:38:08,280 --> 00:38:11,799 Speaker 1: one of the greatest gifts in my life. But it 657 00:38:11,880 --> 00:38:16,120 Speaker 1: produces i'd say, like ten percent of the lemons it 658 00:38:16,160 --> 00:38:22,680 Speaker 1: produces look like hr Geiger like designed them. There there 659 00:38:22,840 --> 00:38:25,640 Speaker 1: is some wild ship which which I feel like is 660 00:38:25,640 --> 00:38:28,160 Speaker 1: actually cool. Like if I saw some lemons that look 661 00:38:28,239 --> 00:38:30,839 Speaker 1: like that at the grocery store, I think I'd have 662 00:38:30,920 --> 00:38:34,239 Speaker 1: to be be on board with that. You know, a 663 00:38:34,280 --> 00:38:37,360 Speaker 1: lot of zesting surface area if you want to lemons 664 00:38:37,440 --> 00:38:41,640 Speaker 1: zest with that has like zulu tentacles coming out of 665 00:38:41,680 --> 00:38:50,080 Speaker 1: the top of it. Growing zucchini by the way, the 666 00:38:51,640 --> 00:38:54,719 Speaker 1: night king horns, right, if you don't cut them by 667 00:38:54,719 --> 00:38:57,960 Speaker 1: the time they become like that perfectly like even shape, 668 00:38:58,000 --> 00:39:02,160 Speaker 1: they just become these giant bulb like clatures that are 669 00:39:02,200 --> 00:39:05,600 Speaker 1: just horrified. And it's like I wouldn't know that unless I, 670 00:39:05,880 --> 00:39:07,480 Speaker 1: like my sister, had like a summer of trying to 671 00:39:07,480 --> 00:39:10,839 Speaker 1: grow zucchini's, Like I had no idea that like there 672 00:39:10,880 --> 00:39:13,800 Speaker 1: was a perfect time to cut a zucchini off the 673 00:39:13,840 --> 00:39:15,880 Speaker 1: stem where it like looks nice, and after that just 674 00:39:15,920 --> 00:39:17,960 Speaker 1: becomes so scary that like you don't want to eat 675 00:39:17,960 --> 00:39:19,719 Speaker 1: it obviously, like probably like the water content is too 676 00:39:19,800 --> 00:39:22,080 Speaker 1: high and those bigger ones. That's probably why people harvested 677 00:39:22,120 --> 00:39:25,000 Speaker 1: at that time. But it's like, yeah, and plants are 678 00:39:25,040 --> 00:39:27,479 Speaker 1: it can be really scary looking sometimes and they're still 679 00:39:27,719 --> 00:39:29,920 Speaker 1: we would eat those john zucchinis. It would be really 680 00:39:29,920 --> 00:39:33,879 Speaker 1: hard because it'd be huge. But I feel like there's 681 00:39:34,120 --> 00:39:37,160 Speaker 1: other stuff about the you know, to your point about 682 00:39:37,320 --> 00:39:42,560 Speaker 1: even if this isn't true, our snobbiness around how pretty 683 00:39:42,600 --> 00:39:46,520 Speaker 1: the fruit is like kind of works against the ultimate 684 00:39:46,640 --> 00:39:51,040 Speaker 1: product that you're getting with Like the isn't bananas are 685 00:39:51,080 --> 00:39:55,000 Speaker 1: all clones of the same banana that have like lost 686 00:39:55,080 --> 00:39:57,880 Speaker 1: a lot of there because the thing every other banana 687 00:39:58,000 --> 00:40:01,399 Speaker 1: is better than what you think is a banana, right, Yeah, 688 00:40:02,440 --> 00:40:05,920 Speaker 1: because when when you were designing the fruit, which all 689 00:40:05,960 --> 00:40:09,759 Speaker 1: fruit is like designed in a lab essentially, like at 690 00:40:09,800 --> 00:40:12,200 Speaker 1: this point, like when when you look at what corn 691 00:40:12,360 --> 00:40:15,000 Speaker 1: used to look like, it like, it wasn't on a 692 00:40:15,040 --> 00:40:17,840 Speaker 1: big dick shaped cob. It was like it looked like 693 00:40:17,840 --> 00:40:20,719 Speaker 1: a little garden weed for for a long time, and 694 00:40:20,760 --> 00:40:23,960 Speaker 1: then farmers were like, no, this should look more like 695 00:40:24,040 --> 00:40:28,839 Speaker 1: a big dick I think covered in corn. Yeah, well, 696 00:40:28,840 --> 00:40:32,040 Speaker 1: there's there's an interesting balance. Some of them do look 697 00:40:32,080 --> 00:40:34,279 Speaker 1: good on a shelf, but we've also seen improvements, like 698 00:40:34,320 --> 00:40:36,920 Speaker 1: I don't know if you have not like this brussel 699 00:40:36,960 --> 00:40:38,759 Speaker 1: sprouts thing, where like everyone was like, we used to 700 00:40:38,760 --> 00:40:41,040 Speaker 1: hate bustle sprouts, and part of the reason that is 701 00:40:41,040 --> 00:40:43,720 Speaker 1: is because they bred the bitterness out of Brussels sprouts, 702 00:40:43,719 --> 00:40:46,160 Speaker 1: so like the night so the russell sprouts were eating 703 00:40:46,200 --> 00:40:48,040 Speaker 1: now are much better. So that's why they're so like 704 00:40:48,360 --> 00:40:51,239 Speaker 1: so much more delicious. So it's like it's interesting like 705 00:40:51,280 --> 00:40:54,759 Speaker 1: the balance of like consumer education versus like the scientists, 706 00:40:54,760 --> 00:40:57,040 Speaker 1: like sort of like sneaking a vegetable in by improving. 707 00:40:57,280 --> 00:41:00,560 Speaker 1: Like sweet corn also used to like many varized of 708 00:41:00,560 --> 00:41:03,560 Speaker 1: sweetcorn would like stop being sweet within like a minute 709 00:41:03,560 --> 00:41:05,520 Speaker 1: of harvesting them or something like that. Like you have 710 00:41:05,600 --> 00:41:07,440 Speaker 1: to like literally just grab them and put them on 711 00:41:07,480 --> 00:41:09,759 Speaker 1: the grill. So you know, it's interesting how sometimes you 712 00:41:09,760 --> 00:41:12,000 Speaker 1: get a benefit from that scientist, an other time it's 713 00:41:12,000 --> 00:41:13,959 Speaker 1: like why why don't you just make the fruit taste better? 714 00:41:14,040 --> 00:41:16,600 Speaker 1: Like our fruit in general in America is awful. Sorry 715 00:41:16,640 --> 00:41:18,640 Speaker 1: to say. I can't think of many fruits, but I'm 716 00:41:18,719 --> 00:41:22,880 Speaker 1: very fond of especially in the American supermarket. Yeah, is 717 00:41:22,960 --> 00:41:25,439 Speaker 1: mango the number one the people need to go try 718 00:41:25,640 --> 00:41:29,239 Speaker 1: when they're outside of the US. I have had a 719 00:41:29,680 --> 00:41:32,520 Speaker 1: I was in Guatemala last year and had a scoop 720 00:41:32,560 --> 00:41:35,800 Speaker 1: of mango that I tasted like ice cream. It tasted 721 00:41:35,840 --> 00:41:38,560 Speaker 1: like it was made and you know, by a candy company. 722 00:41:38,600 --> 00:41:41,880 Speaker 1: It was the most delicious thing, and that it was 723 00:41:41,960 --> 00:41:46,720 Speaker 1: a consistency that I've never had in any sort of fruit, 724 00:41:46,880 --> 00:41:56,120 Speaker 1: Like it was just so buttery and delicious. Simmons the 725 00:41:56,160 --> 00:41:58,280 Speaker 1: best person and I had this year. I I picked 726 00:41:58,280 --> 00:42:00,600 Speaker 1: it up and I bruised it with my like almost 727 00:42:00,600 --> 00:42:02,640 Speaker 1: went through the skin with my fingers. I was like, 728 00:42:03,400 --> 00:42:07,560 Speaker 1: basically like a water balloon. Yeah, well, remind me when 729 00:42:07,560 --> 00:42:09,880 Speaker 1: mayor June comes around, I'll try to get hook you 730 00:42:10,000 --> 00:42:12,040 Speaker 1: up with my mango dealer. And if you're willing to 731 00:42:12,080 --> 00:42:14,600 Speaker 1: spend you know, eight dollars on a mango forty dollars 732 00:42:14,680 --> 00:42:18,320 Speaker 1: for two cages, you know, you might have a life changing, 733 00:42:18,400 --> 00:42:20,600 Speaker 1: changing experience. You might not ever be able to go back. 734 00:42:21,400 --> 00:42:23,440 Speaker 1: But yes, I would say mangoes are definitely something you 735 00:42:23,480 --> 00:42:25,640 Speaker 1: need to try when you're outside of the US. I'm 736 00:42:25,680 --> 00:42:27,640 Speaker 1: not that familiar with the South American wants to be honest, 737 00:42:27,680 --> 00:42:29,840 Speaker 1: but it's a similar situation to what you're describing with 738 00:42:29,880 --> 00:42:31,880 Speaker 1: the bananas. That all of the ones in North America 739 00:42:32,160 --> 00:42:35,879 Speaker 1: much like coffee, like like eight like South Asia. East 740 00:42:35,920 --> 00:42:39,520 Speaker 1: Asia is like like coffee for coffee beans in Ethiopia, 741 00:42:39,560 --> 00:42:41,480 Speaker 1: which is like there's more genetic diversity there, so there's 742 00:42:41,480 --> 00:42:43,680 Speaker 1: like a lot more varieties there. So I'm not that 743 00:42:43,719 --> 00:42:45,480 Speaker 1: familiar with the with the South American ones, but I 744 00:42:45,480 --> 00:42:47,880 Speaker 1: know that they're better than the American ones. The American 745 00:42:47,920 --> 00:42:50,480 Speaker 1: ones that come over the border from Mexico are not 746 00:42:50,520 --> 00:42:53,280 Speaker 1: really designed for flavor. There are some good Mexican varieties, 747 00:42:53,280 --> 00:42:56,000 Speaker 1: but it's like not the ones you get to the supermarket. Yeah. 748 00:42:56,000 --> 00:43:01,440 Speaker 1: I think Americans assumed that because of American exceptionalism and 749 00:43:01,560 --> 00:43:03,759 Speaker 1: you know, ship like that. They're like, well, we have 750 00:43:04,120 --> 00:43:06,000 Speaker 1: to have the best, and it's like no, They're they're 751 00:43:06,040 --> 00:43:10,680 Speaker 1: designing this product for you, a not very well informed consumer, 752 00:43:11,160 --> 00:43:13,600 Speaker 1: so like they just know that you're gonna you're gonna 753 00:43:13,640 --> 00:43:18,359 Speaker 1: be okay with it. That's available in December, like when 754 00:43:18,400 --> 00:43:21,720 Speaker 1: it should not be available. Yeah. I forget what Barry 755 00:43:21,760 --> 00:43:24,360 Speaker 1: it was, but there was a kind of long read 756 00:43:24,600 --> 00:43:29,120 Speaker 1: article about a company that designed its berries to be 757 00:43:29,719 --> 00:43:32,920 Speaker 1: like it the berries that we have now, we're designed 758 00:43:33,000 --> 00:43:38,680 Speaker 1: to be pickable by robots, essentially, because like that, that 759 00:43:38,840 --> 00:43:41,480 Speaker 1: is why it's that way. It has nothing to do 760 00:43:41,560 --> 00:43:44,720 Speaker 1: with how good it tastes. It's like it looks good 761 00:43:44,840 --> 00:43:47,960 Speaker 1: in a cart when you're going around the grocery store, 762 00:43:48,360 --> 00:43:51,880 Speaker 1: and it's a robot can pick it without destroying the fruit. 763 00:43:52,520 --> 00:43:55,600 Speaker 1: All the all the energy goes into harvesting and trucking, 764 00:43:56,000 --> 00:43:59,400 Speaker 1: and if it tastes better, that's a maybe a Brussels sprout. 765 00:43:59,440 --> 00:44:03,040 Speaker 1: I feel like those sprots is just the anomally. Yeah. 766 00:44:03,440 --> 00:44:05,760 Speaker 1: The other thing I'll say about those Box Sunni mangas 767 00:44:05,880 --> 00:44:08,080 Speaker 1: is that they try to get them in supermarkets, but 768 00:44:08,440 --> 00:44:11,800 Speaker 1: they go bad within two days. So like they the 769 00:44:11,920 --> 00:44:15,400 Speaker 1: supermarkets are like the consumer doesn't want these ugly things, 770 00:44:15,800 --> 00:44:17,920 Speaker 1: you know that are like brown all over and getting soft, 771 00:44:18,520 --> 00:44:20,520 Speaker 1: and it's like, well, they're better than any mango you've 772 00:44:20,520 --> 00:44:22,399 Speaker 1: ever had access to, but it's like they're not willing 773 00:44:22,400 --> 00:44:24,480 Speaker 1: to pay pay the price for that. I mean it's 774 00:44:24,480 --> 00:44:26,520 Speaker 1: also very expensive to fly them from Box, So I 775 00:44:26,520 --> 00:44:29,000 Speaker 1: mean that's also like a like a terrible climate change 776 00:44:29,040 --> 00:44:32,560 Speaker 1: story that like Box Sunnies like myself are so wild 777 00:44:32,560 --> 00:44:34,960 Speaker 1: about it that they're willing to like loaded up in 778 00:44:35,000 --> 00:44:38,279 Speaker 1: an airplane and get it blown over here. That's not 779 00:44:38,320 --> 00:44:42,080 Speaker 1: so good for the environment. So yeah, that's I wonder 780 00:44:42,120 --> 00:44:44,799 Speaker 1: if Brussels sprouts where it's like a story where it's 781 00:44:44,840 --> 00:44:50,000 Speaker 1: just they hit such a deep, dark bottom and they 782 00:44:50,960 --> 00:44:56,480 Speaker 1: it was like they were just you know, synonymous with gross. 783 00:44:56,640 --> 00:44:58,680 Speaker 1: Someone's gonna spit this out if I try and feed 784 00:44:58,719 --> 00:45:01,520 Speaker 1: it too, And and that, you know, the people at 785 00:45:01,560 --> 00:45:04,279 Speaker 1: the at Big Brussels Sprout like really had to come 786 00:45:04,320 --> 00:45:07,080 Speaker 1: to Jesus moment where they're like, we need to actually 787 00:45:07,080 --> 00:45:11,360 Speaker 1: make these taste good. I think Mafia was like, broccoli 788 00:45:11,480 --> 00:45:13,799 Speaker 1: is over there, and they're laughing at us. The kids 789 00:45:13,800 --> 00:45:18,160 Speaker 1: are eating their broccoli. But if they will, if it's 790 00:45:18,200 --> 00:45:21,080 Speaker 1: just bitterness, it feels like genetic variation just naturally is 791 00:45:21,080 --> 00:45:23,360 Speaker 1: gonna Look, they couldn't be more bitter. So if you 792 00:45:23,480 --> 00:45:26,279 Speaker 1: just randomize Brussels sprouts for a couple of generations, they 793 00:45:26,360 --> 00:45:28,640 Speaker 1: like almost have to taste better. There's like no no 794 00:45:28,760 --> 00:45:33,759 Speaker 1: other way. Yeah right, Yeah, It's like they actually had 795 00:45:33,800 --> 00:45:36,920 Speaker 1: been designing them in the forties and fifties to punish children. 796 00:45:37,040 --> 00:45:39,360 Speaker 1: It turns out they were just like, we need a 797 00:45:40,040 --> 00:45:43,839 Speaker 1: taste like ship that these kids make sure they know 798 00:45:43,920 --> 00:45:48,680 Speaker 1: that God doesn't love them. You know. All right, let's 799 00:45:48,719 --> 00:45:52,360 Speaker 1: talk about Beyonce. Let's talk about taking master. Beyonce is 800 00:45:52,360 --> 00:45:56,400 Speaker 1: about to go on tour, and in addition to just 801 00:45:56,520 --> 00:45:59,279 Speaker 1: general concerns that the tickets are going to cost the 802 00:45:59,360 --> 00:46:02,799 Speaker 1: same as black market organs. A lot of fans are 803 00:46:02,840 --> 00:46:06,440 Speaker 1: worried that Ticketmaster is gonna totally screw this up for 804 00:46:06,480 --> 00:46:10,080 Speaker 1: some reason. I don't know where they're getting this concern from. 805 00:46:10,080 --> 00:46:14,080 Speaker 1: Oh yeah, that literally just happened with Taylor Swift. So 806 00:46:14,160 --> 00:46:17,480 Speaker 1: they were just Ticketmaster was just the subject of a 807 00:46:17,600 --> 00:46:23,560 Speaker 1: Senate Judiciary Committee meeting, which didn't seem to solve that 808 00:46:23,640 --> 00:46:26,920 Speaker 1: much except it gave a platform for politicians to quote 809 00:46:26,920 --> 00:46:32,440 Speaker 1: Taylor Swift lyrics in a just wildly cringing fashion. This 810 00:46:32,520 --> 00:46:34,759 Speaker 1: will get me on Twitter dot com, right, all right, 811 00:46:35,040 --> 00:46:40,600 Speaker 1: there we go Twitter dot com. Senator Richard Blumenthal of 812 00:46:40,680 --> 00:46:43,799 Speaker 1: Connecticut said Ticketmaster ought to look in the mirror and 813 00:46:43,960 --> 00:46:51,759 Speaker 1: say I'm the problem. It's me. Amy Klober said that 814 00:46:51,960 --> 00:46:55,800 Speaker 1: consolidation within an industry is a problem the United States 815 00:46:56,080 --> 00:47:02,840 Speaker 1: no knows all too well, and they should be forced 816 00:47:02,840 --> 00:47:06,320 Speaker 1: to if they're going to do that. Yeah, absolutely, yeah. 817 00:47:06,520 --> 00:47:10,640 Speaker 1: Senator Mike Lee characterized restrictions on selling tickets as a 818 00:47:10,760 --> 00:47:16,439 Speaker 1: nightmare dressed like a day dream, which, god, yeah, I'm 819 00:47:16,440 --> 00:47:18,520 Speaker 1: excited for them to bring out the Beyonce lyrics when 820 00:47:18,560 --> 00:47:25,080 Speaker 1: that exactly and so the president of Ticketmaster's parent company, 821 00:47:25,120 --> 00:47:28,600 Speaker 1: Live Nation apologized to Taylor Swift. Fans claimed it was 822 00:47:29,120 --> 00:47:32,640 Speaker 1: just the damn bots that are responsible for the terrible 823 00:47:32,719 --> 00:47:37,080 Speaker 1: consumer experience, saying they'll quote do better in the future. 824 00:47:37,480 --> 00:47:40,560 Speaker 1: But it's that that may be the case, that may 825 00:47:40,560 --> 00:47:43,560 Speaker 1: be like the problem they are failing to solve, but 826 00:47:44,080 --> 00:47:46,640 Speaker 1: from from the outside, it really appears to be that 827 00:47:46,719 --> 00:47:50,800 Speaker 1: Ticketmaster is a monopoly and so when their website breaks, 828 00:47:51,160 --> 00:47:54,279 Speaker 1: there's not another website that you go to them be like, well, 829 00:47:54,320 --> 00:47:57,479 Speaker 1: Ticketmaster sucks, so we'll go buy the tickets over here, 830 00:47:57,880 --> 00:48:02,279 Speaker 1: which is pretty straightforward. Like it feels like you you 831 00:48:02,680 --> 00:48:06,120 Speaker 1: we end up having to explain the dynamics of capitalism 832 00:48:06,120 --> 00:48:12,520 Speaker 1: a lot capitalists, you know, is I I is there 833 00:48:12,520 --> 00:48:14,600 Speaker 1: a reason why is some monopoly? Is it just the 834 00:48:14,719 --> 00:48:16,880 Speaker 1: artists are a lot It's easier just to give all 835 00:48:16,880 --> 00:48:19,839 Speaker 1: our tickets to or the venues I guess technically sell 836 00:48:19,880 --> 00:48:23,240 Speaker 1: the tickets. Wasn't that the merger with Live Nation or something. 837 00:48:23,719 --> 00:48:25,399 Speaker 1: Maybe that's a long time ago now, I mean, yeah, 838 00:48:25,440 --> 00:48:27,120 Speaker 1: I think that's one of the ways that that I 839 00:48:27,480 --> 00:48:32,200 Speaker 1: think a lot of things happen, you know, and and 840 00:48:32,239 --> 00:48:36,120 Speaker 1: there's just not the appetite to push back against corporations. 841 00:48:36,280 --> 00:48:40,600 Speaker 1: It's it's so they we allow these massive mergers to 842 00:48:40,640 --> 00:48:44,120 Speaker 1: go through. We're coming off of like forty years of 843 00:48:44,760 --> 00:48:49,680 Speaker 1: deregulation being the operative word in the US, and it's 844 00:48:49,719 --> 00:48:52,200 Speaker 1: like this is what you end up with. You end 845 00:48:52,280 --> 00:48:56,560 Speaker 1: up with like broken systems that like don't work because they, 846 00:48:56,840 --> 00:49:00,120 Speaker 1: like a corporation naturally wants to be a monopoly. You 847 00:49:00,200 --> 00:49:03,879 Speaker 1: can't can't just like passively hope that it's not going 848 00:49:03,920 --> 00:49:07,040 Speaker 1: to be one. Like that is a massive advantage for 849 00:49:07,120 --> 00:49:10,279 Speaker 1: them because they ultimately just want to make as much 850 00:49:10,320 --> 00:49:13,719 Speaker 1: money as possible while spending as little money as possible. 851 00:49:14,120 --> 00:49:18,360 Speaker 1: And you know that's bad. And like the bots don't 852 00:49:18,360 --> 00:49:20,840 Speaker 1: seem to be bad for them. I mean they want 853 00:49:21,400 --> 00:49:24,200 Speaker 1: like the sneaker drops, like they want their sneaker drops there, 854 00:49:24,239 --> 00:49:26,919 Speaker 1: the tickets, like all these companies benefit from the box. 855 00:49:26,920 --> 00:49:29,439 Speaker 1: It seems like to me, yes, their public opinion goes down, 856 00:49:29,520 --> 00:49:32,399 Speaker 1: but there's if there's no alternative, right, you have one place, 857 00:49:32,440 --> 00:49:34,440 Speaker 1: If you have one place that does good bought protection 858 00:49:34,440 --> 00:49:36,319 Speaker 1: and you have one place that doesn't, you're gonna go 859 00:49:36,360 --> 00:49:38,279 Speaker 1: to the place that has good protection against bots. But 860 00:49:38,280 --> 00:49:41,680 Speaker 1: if it's a monopoly they want, like they're not gonna 861 00:49:41,680 --> 00:49:43,560 Speaker 1: they're not gonna see a hit to their pockets if 862 00:49:43,560 --> 00:49:47,520 Speaker 1: the bots are taken down there, they want their their 863 00:49:47,520 --> 00:49:49,920 Speaker 1: tickets to sell up. I mean the we sell maybe 864 00:49:50,239 --> 00:49:53,200 Speaker 1: even benefits them to something extent because it becomes even 865 00:49:53,360 --> 00:49:55,799 Speaker 1: more highly valued so they can charge more and more. 866 00:49:56,239 --> 00:49:59,040 Speaker 1: So I don't buy it, but the d and it 867 00:49:59,080 --> 00:50:04,399 Speaker 1: benefits like the bots benefit Ticketmaster because Ticketmaster has agreements 868 00:50:04,400 --> 00:50:07,640 Speaker 1: with the reseller sites that they get a cut of 869 00:50:07,680 --> 00:50:10,759 Speaker 1: every resale, so they are just making money on top 870 00:50:10,760 --> 00:50:14,160 Speaker 1: of the initial money that they made, and so they've 871 00:50:14,200 --> 00:50:19,880 Speaker 1: been busted like actually like making deals with resellers, you know, 872 00:50:20,320 --> 00:50:22,840 Speaker 1: I mean they get they get a cut a portion 873 00:50:22,920 --> 00:50:26,000 Speaker 1: of like every ticket that gets resold on one of 874 00:50:26,040 --> 00:50:29,080 Speaker 1: these like other official resellers. But in twenty nineteen, the 875 00:50:29,080 --> 00:50:33,000 Speaker 1: company's president of US concerts was literally caught sending ninety 876 00:50:33,160 --> 00:50:36,640 Speaker 1: thousand Metallica tickets to a broker who Live Nation was 877 00:50:36,680 --> 00:50:41,759 Speaker 1: directed to hire with the participation of Metallics, Metallica's ticket consultant. 878 00:50:42,280 --> 00:50:44,440 Speaker 1: And just like we didn't notice that one because nobody 879 00:50:44,520 --> 00:50:48,520 Speaker 1: gives a shit about Metallity, I guess, but like it 880 00:50:48,680 --> 00:50:50,719 Speaker 1: was also like literally, what are you gonna do? I mean, 881 00:50:51,040 --> 00:50:55,520 Speaker 1: every artist, every Ticketmaster, every venue, their their response to 882 00:50:55,600 --> 00:50:59,040 Speaker 1: any of this is what are you gonna do? Yeah, 883 00:50:59,239 --> 00:51:03,720 Speaker 1: like a little bit. It's like huge artists like offloading 884 00:51:03,880 --> 00:51:07,200 Speaker 1: the being a bad guy to Ticketmaster. Ticketmaster doesn't care 885 00:51:07,200 --> 00:51:09,480 Speaker 1: that they're back. Like, it's just like creates a layer 886 00:51:09,520 --> 00:51:12,839 Speaker 1: of the service that Ticketmaster provides. Is creating a layer 887 00:51:12,840 --> 00:51:16,520 Speaker 1: of plausible deniability to artists to say to their fans, So, 888 00:51:16,560 --> 00:51:18,920 Speaker 1: I don't know it tick a master's fault. Ticketmasters, Like, 889 00:51:18,960 --> 00:51:23,200 Speaker 1: I don't know who cares, right, Yeah, that that really 890 00:51:23,239 --> 00:51:27,920 Speaker 1: seems It's good for the artist because there's it creates demand, 891 00:51:28,120 --> 00:51:30,920 Speaker 1: it creates a story about how hard it is to 892 00:51:30,920 --> 00:51:33,719 Speaker 1: get the tickets to their show. It's good for Ticketmaster, 893 00:51:34,040 --> 00:51:37,000 Speaker 1: Like the only people that screws is the consumer. And 894 00:51:37,239 --> 00:51:40,200 Speaker 1: this is just I feel like this is naturally what 895 00:51:40,320 --> 00:51:42,880 Speaker 1: we'll be seeing more and more unless there is a 896 00:51:42,880 --> 00:51:48,520 Speaker 1: actual concerted like political movement to push back against consolidation 897 00:51:48,600 --> 00:51:52,319 Speaker 1: and deregulation and like these massive mergers. But we just 898 00:51:52,360 --> 00:51:56,160 Speaker 1: haven't seen it in any real way in our lifetime, 899 00:51:56,520 --> 00:51:59,240 Speaker 1: you know, like that this this is what was happening 900 00:51:59,400 --> 00:52:03,120 Speaker 1: in the like end of the nineteenth century early twentieth century, 901 00:52:03,120 --> 00:52:07,200 Speaker 1: where like the robber barons were just consolidating all their power, 902 00:52:07,360 --> 00:52:09,800 Speaker 1: and then things had to get like really fucking bet 903 00:52:09,880 --> 00:52:14,560 Speaker 1: for there to be like a massive pushback, and it 904 00:52:14,640 --> 00:52:17,279 Speaker 1: seems like that's where we're headed. Is there anyone you 905 00:52:17,280 --> 00:52:22,360 Speaker 1: would brave the ticket master chaos for what would be yours? 906 00:52:22,360 --> 00:52:25,280 Speaker 1: That you would be willing to do this for? Probably 907 00:52:25,280 --> 00:52:28,799 Speaker 1: Frank Ocean's Yeah, yeah, I would do I would do 908 00:52:28,800 --> 00:52:31,239 Speaker 1: it for Frank Ocean. I really like Frank Ocean. I'm 909 00:52:31,280 --> 00:52:33,879 Speaker 1: too out of it to like ever. I only ever 910 00:52:34,000 --> 00:52:36,000 Speaker 1: know these things are going on sale. Would people start 911 00:52:36,000 --> 00:52:41,960 Speaker 1: complaining that they couldn't get tickets on Twitter? Right? Yeah? Yeah, 912 00:52:42,320 --> 00:52:44,759 Speaker 1: how about you? No? I think I think everybody that 913 00:52:44,800 --> 00:52:47,720 Speaker 1: I would have done it for is probably not somebody 914 00:52:47,719 --> 00:52:49,640 Speaker 1: that I would want to buy tickets from anymore. Let's 915 00:52:49,640 --> 00:52:52,480 Speaker 1: just say the probably the biggest castor ever went to 916 00:52:52,600 --> 00:52:56,200 Speaker 1: is Scotty back in the Easiest. That was one of 917 00:52:56,200 --> 00:52:58,000 Speaker 1: the rare times I was like, Okay, I'll put a 918 00:52:58,040 --> 00:52:59,840 Speaker 1: lot of money to go see that, And now I 919 00:53:00,000 --> 00:53:05,520 Speaker 1: out want to do that anymore. Why would happen? Music 920 00:53:07,760 --> 00:53:10,880 Speaker 1: didn't realize I live like, I don't know five flocks 921 00:53:10,880 --> 00:53:14,200 Speaker 1: from Dodger Stadium, and I did not realize that night 922 00:53:14,239 --> 00:53:17,279 Speaker 1: that Elton John was doing whatever his like last show 923 00:53:17,320 --> 00:53:21,759 Speaker 1: ever at Dodger Stadium, and I, you know, popped out 924 00:53:21,840 --> 00:53:25,560 Speaker 1: to go get a taco and literally like was just 925 00:53:25,640 --> 00:53:30,040 Speaker 1: stuck on sunset for man. I took the turn and 926 00:53:30,040 --> 00:53:32,120 Speaker 1: I was like, oh no, And then I looked on 927 00:53:32,160 --> 00:53:35,919 Speaker 1: Twitter and everyone's like going to Elton John. I was like, well, 928 00:53:36,200 --> 00:53:38,840 Speaker 1: I guess I live here now, Yeah, this is just 929 00:53:38,880 --> 00:53:41,520 Speaker 1: where my car is going to be. Yeah, you could. 930 00:53:41,560 --> 00:53:42,880 Speaker 1: But I also like grew up in that, like for 931 00:53:43,120 --> 00:53:46,319 Speaker 1: Midwestern punk ethis was like a place of selling more 932 00:53:46,360 --> 00:53:48,880 Speaker 1: than twenty Like they're selling tickets for more than twenty dollars, 933 00:53:48,920 --> 00:53:52,680 Speaker 1: Like I'm not going was cool, That was right. We 934 00:53:52,680 --> 00:53:55,600 Speaker 1: were right back then. We were like talking about bands 935 00:53:55,600 --> 00:53:58,719 Speaker 1: selling out and talking about like you know, we're we're 936 00:53:58,760 --> 00:54:03,120 Speaker 1: skeptical of ticket Master and there's a big like Ticketmaster 937 00:54:03,280 --> 00:54:07,600 Speaker 1: movement and it just kind of went away. But and 938 00:54:07,640 --> 00:54:10,239 Speaker 1: like the idea of sellouts just like went away at 939 00:54:10,239 --> 00:54:13,600 Speaker 1: a time when I feel like we need that protection. 940 00:54:13,760 --> 00:54:19,680 Speaker 1: That's sort of natural fan based skepticism because it's it's bad. 941 00:54:20,120 --> 00:54:22,000 Speaker 1: But on the other hand, I'm like, wow, like yeah, 942 00:54:22,000 --> 00:54:23,279 Speaker 1: of course, like you want all the just to be 943 00:54:23,320 --> 00:54:25,319 Speaker 1: able to access the show, and like under twenty dollar 944 00:54:25,360 --> 00:54:26,759 Speaker 1: ticket is great for that, but it's like, how do 945 00:54:26,800 --> 00:54:29,560 Speaker 1: these bands survive that are not you know, who are 946 00:54:29,640 --> 00:54:32,520 Speaker 1: who are doing? Who are selling tickets for? I've actually 947 00:54:32,760 --> 00:54:34,560 Speaker 1: made a concerted effort to go to a couple of 948 00:54:34,600 --> 00:54:39,040 Speaker 1: like tickets shows of bands that I've like, I'm like 949 00:54:39,080 --> 00:54:40,600 Speaker 1: slightly interested in. I don't have to be like the 950 00:54:40,640 --> 00:54:43,240 Speaker 1: biggest fan, and I'm just like, yeah, this doesn't seem 951 00:54:43,320 --> 00:54:45,680 Speaker 1: like a lot of people for this to travel the 952 00:54:45,719 --> 00:54:47,880 Speaker 1: country for. It's a hard it's a hard gig. So 953 00:54:47,920 --> 00:54:50,280 Speaker 1: maybe like now that I'm older, like I would actually 954 00:54:50,719 --> 00:54:53,880 Speaker 1: give these bands like fifty dollars, you know what I mean? Yeah, 955 00:54:54,239 --> 00:54:56,360 Speaker 1: throw throw them a bomb. Yeah they're not getting a 956 00:54:56,360 --> 00:54:58,719 Speaker 1: record deal, that's gonna their Spotify streams are not paying 957 00:54:58,719 --> 00:55:01,000 Speaker 1: the bill. Gonna say they make their money off of 958 00:55:01,000 --> 00:55:05,120 Speaker 1: all those lucrative Spotify streams right the tenth of a cent? 959 00:55:05,719 --> 00:55:11,320 Speaker 1: Yeah bye bye them. My my friend Tonty, who is 960 00:55:11,360 --> 00:55:13,960 Speaker 1: my podcast go host you can see us now. She 961 00:55:14,120 --> 00:55:15,960 Speaker 1: has a rule which is like, if you listen to 962 00:55:16,200 --> 00:55:19,520 Speaker 1: an artist on Spotify, you know whatever number of times 963 00:55:19,880 --> 00:55:23,839 Speaker 1: by their record on vinyl because also they can never 964 00:55:23,880 --> 00:55:27,160 Speaker 1: take that away from you. Yeah, that's right. I just 965 00:55:27,200 --> 00:55:29,920 Speaker 1: got a record player to do that very same thing. 966 00:55:30,280 --> 00:55:32,919 Speaker 1: I have never been a vinyl person. I I fear 967 00:55:32,960 --> 00:55:35,040 Speaker 1: it'll be a dangerous habit for me, but I do, 968 00:55:35,480 --> 00:55:37,800 Speaker 1: like I want to throw throw them some money because 969 00:55:38,320 --> 00:55:41,880 Speaker 1: not a huge concert person. Yeah, and then Ticketmaster is 970 00:55:41,920 --> 00:55:45,800 Speaker 1: going to buy all the vinyl production get the corner 971 00:55:45,840 --> 00:55:48,400 Speaker 1: of the market. It's alright man. I've listened to tapes 972 00:55:51,640 --> 00:55:57,160 Speaker 1: which are made of oil so show and it's been 973 00:55:57,280 --> 00:56:00,520 Speaker 1: such a pleasure having you on the show. Where can 974 00:56:00,560 --> 00:56:03,680 Speaker 1: people find you? Follow you, hear you all that good stuff. 975 00:56:04,040 --> 00:56:07,240 Speaker 1: I'm on Twitter most actively at Rod Brown. Dad's sadly 976 00:56:07,440 --> 00:56:10,480 Speaker 1: still on Twitter. I have nowhere else to go if 977 00:56:10,719 --> 00:56:13,080 Speaker 1: but I also have this new podcast, like I mentioned, 978 00:56:13,280 --> 00:56:16,359 Speaker 1: m Radio Lingo from Crooked Media and du A Lingo. 979 00:56:16,520 --> 00:56:19,399 Speaker 1: You can find that anywhere you find your podcast. It's 980 00:56:19,400 --> 00:56:21,839 Speaker 1: also you know, linked on my Twitter profile. And then 981 00:56:21,960 --> 00:56:24,440 Speaker 1: I would also like to plug that Eater article I 982 00:56:24,440 --> 00:56:27,280 Speaker 1: didn't say it was for Eater earlier about mangoes. It's 983 00:56:27,320 --> 00:56:31,080 Speaker 1: like inside the secretive high stakes, semi elicit what's that 984 00:56:31,200 --> 00:56:34,680 Speaker 1: trade of mangoes? It's on Eater. That's the piece that 985 00:56:34,719 --> 00:56:37,120 Speaker 1: I wanted James Beard, for which I still can't believe, 986 00:56:37,200 --> 00:56:40,360 Speaker 1: like still an amazing moment in my professional career, and 987 00:56:40,400 --> 00:56:42,839 Speaker 1: I'm really proud of it. So yeah, those are kind 988 00:56:42,840 --> 00:56:46,200 Speaker 1: of my my three things. Please please, you know, read them, 989 00:56:46,239 --> 00:56:48,839 Speaker 1: listen to them, share them, and some more people can 990 00:56:48,880 --> 00:56:51,080 Speaker 1: find him. There you go. Thank you for having me. 991 00:56:51,120 --> 00:56:53,120 Speaker 1: It was really fun. Thanks for doing it. Is there 992 00:56:53,160 --> 00:56:55,920 Speaker 1: a tweet or some other work of social media you've 993 00:56:55,960 --> 00:57:01,160 Speaker 1: been enjoying? Well? I had prepared media, so I was 994 00:57:01,200 --> 00:57:04,200 Speaker 1: going to talk about last of Us. Yeah, do media, 995 00:57:05,400 --> 00:57:08,680 Speaker 1: but we already talked about last of us. So it's 996 00:57:08,760 --> 00:57:11,080 Speaker 1: last of us that it's last of us. I mean, 997 00:57:11,160 --> 00:57:13,040 Speaker 1: I can I can try to cram for something here 998 00:57:13,120 --> 00:57:15,480 Speaker 1: look back through my you know, Okay, I will say one. 999 00:57:15,600 --> 00:57:17,800 Speaker 1: I do have one. I do have one, which is 1000 00:57:18,320 --> 00:57:22,720 Speaker 1: Derek Guy die Work. Where who is this men'swear blogger? 1001 00:57:23,240 --> 00:57:25,480 Speaker 1: I you know, I don't wear like suits or anything 1002 00:57:25,520 --> 00:57:27,840 Speaker 1: in my daily life, but I am fascinated by the 1003 00:57:28,320 --> 00:57:34,200 Speaker 1: online traditional like young guys who wear suits that like 1004 00:57:34,280 --> 00:57:37,160 Speaker 1: dead guys in the sixties war like die Work. Where 1005 00:57:37,200 --> 00:57:39,040 Speaker 1: is this guy on Twitter who has just become like 1006 00:57:39,320 --> 00:57:40,960 Speaker 1: like there's a lot of articles written about how he 1007 00:57:40,960 --> 00:57:44,600 Speaker 1: became Twitter's main character, and everyone is like, like, who 1008 00:57:44,640 --> 00:57:47,120 Speaker 1: is this person? I'm sick of seeing them? But personally, 1009 00:57:47,160 --> 00:57:50,840 Speaker 1: I have benefited from reading Derek guys stuff for years, 1010 00:57:50,840 --> 00:57:53,160 Speaker 1: so he's not like a random person. He's like an 1011 00:57:53,160 --> 00:57:56,200 Speaker 1: old Internet person who has been putting in the work forever. 1012 00:57:56,240 --> 00:57:58,080 Speaker 1: And I'm like, good for you that the algorithm pick 1013 00:57:58,120 --> 00:58:01,160 Speaker 1: to you. Like I I'm defending him against the haters. 1014 00:58:01,160 --> 00:58:03,240 Speaker 1: I think he's been putting up great content for years, 1015 00:58:03,600 --> 00:58:05,640 Speaker 1: even if you're not somebody who likes suits. He has 1016 00:58:05,680 --> 00:58:10,680 Speaker 1: a really interesting and open minded perspective on what dressing means. 1017 00:58:11,000 --> 00:58:13,440 Speaker 1: And I support his success. I hope he gets like 1018 00:58:13,480 --> 00:58:15,720 Speaker 1: a TV show or something like a reality TV show. 1019 00:58:15,840 --> 00:58:20,840 Speaker 1: I'm all for it. There you go, amazing, Andrew pleasure 1020 00:58:20,880 --> 00:58:25,320 Speaker 1: having you on as host. People find you, follow you, 1021 00:58:25,360 --> 00:58:28,800 Speaker 1: all that good stuff. Uh Andrew t everywhere and yeah, 1022 00:58:28,840 --> 00:58:30,520 Speaker 1: if you know, if you if you like your as 1023 00:58:30,560 --> 00:58:32,880 Speaker 1: This Racist or I guess we've had more because my 1024 00:58:33,000 --> 00:58:35,680 Speaker 1: co host Tony Newsome on the podcast You As This 1025 00:58:35,840 --> 00:58:39,439 Speaker 1: Racist is also on Star Trek Lower Decks, so we 1026 00:58:39,720 --> 00:58:41,800 Speaker 1: uh get some Star Trek people come in to our 1027 00:58:41,840 --> 00:58:45,840 Speaker 1: live shows now. But yeah, so if you're Star Trek fan, 1028 00:58:46,400 --> 00:58:49,120 Speaker 1: if you're a whatever the hell I just did fan 1029 00:58:49,680 --> 00:58:52,400 Speaker 1: and you're in the Bay Area where at Cobbs Comedy 1030 00:58:52,400 --> 00:58:55,360 Speaker 1: Club this Saturday as part as F S s F 1031 00:58:55,600 --> 00:58:58,920 Speaker 1: Sketch Fest, And yeah, actually I think I recommend as 1032 00:58:58,960 --> 00:59:02,560 Speaker 1: also fashion Relay. Did I saw this on I think Twitter, Instagram, 1033 00:59:02,600 --> 00:59:04,760 Speaker 1: and I guess I haven't fully vetted these folks, but 1034 00:59:04,920 --> 00:59:08,560 Speaker 1: I their websites seems to indicate their good people. There's 1035 00:59:08,760 --> 00:59:13,280 Speaker 1: a group in Houston called the Screwston Anti Fascist Committee 1036 00:59:13,600 --> 00:59:15,919 Speaker 1: and I just bought a shirt from them that has 1037 00:59:15,960 --> 00:59:20,360 Speaker 1: a picture of a crocodile eating a Klansman and the 1038 00:59:20,480 --> 00:59:24,200 Speaker 1: Texas racist ain't safe in the Dirty South, And I 1039 00:59:24,280 --> 00:59:30,800 Speaker 1: was so looking. That's so good, amazing. Um. You can 1040 00:59:30,840 --> 00:59:36,600 Speaker 1: find me on Twitter at Jack Underscore O'Brien. Julia Claire tweeted, 1041 00:59:36,760 --> 00:59:39,800 Speaker 1: can someone make a deep fake of my dad apologizing 1042 00:59:39,840 --> 00:59:41,400 Speaker 1: to me? I just want to see what it would 1043 00:59:41,440 --> 00:59:44,280 Speaker 1: look like. I think that's a good use of deep 1044 00:59:44,280 --> 00:59:47,960 Speaker 1: fake technology that hasn't been explore. You can find us 1045 00:59:48,000 --> 00:59:50,520 Speaker 1: on Twitter at daily zeitgeis were at the Daily Zeitgeist 1046 00:59:50,600 --> 00:59:53,000 Speaker 1: on Instagram. We have a Facebook fan page on a website, 1047 00:59:53,080 --> 00:59:56,040 Speaker 1: Daily zeitgeist dot com, where we post our episodes and 1048 00:59:56,080 --> 00:59:58,760 Speaker 1: our footnotes where we link off to the information that 1049 00:59:58,800 --> 01:00:01,280 Speaker 1: we talked about into day's episode, as well as a 1050 01:00:01,400 --> 01:00:05,200 Speaker 1: song that we think you might enjoy. Super producer justin 1051 01:00:05,640 --> 01:00:07,840 Speaker 1: do you have a song that you think people might 1052 01:00:07,960 --> 01:00:10,560 Speaker 1: enjoy that we could link off to in the footnotes? 1053 01:00:11,000 --> 01:00:13,840 Speaker 1: I do. There's this song that you may have heard 1054 01:00:14,200 --> 01:00:17,880 Speaker 1: if you spent enough time in certain corners of the internet. Uh, 1055 01:00:17,880 --> 01:00:20,720 Speaker 1: it's blowing up pretty big is from a young Nigerian 1056 01:00:20,960 --> 01:00:24,880 Speaker 1: artist goes by Vic Tony the I c t o 1057 01:00:25,160 --> 01:00:29,360 Speaker 1: in Why this song is called Soluato. It's featuring tempo. 1058 01:00:29,440 --> 01:00:31,400 Speaker 1: It's so good. The thing I love about this song 1059 01:00:31,480 --> 01:00:34,240 Speaker 1: is the versatility of it. Like if you want to 1060 01:00:34,280 --> 01:00:36,919 Speaker 1: feel like you're on a beach with the open top cheep, 1061 01:00:37,040 --> 01:00:39,240 Speaker 1: it works for that. If you want to smoke a 1062 01:00:39,240 --> 01:00:41,280 Speaker 1: little bit on your couch, it works for that. If 1063 01:00:41,320 --> 01:00:43,200 Speaker 1: you want to play it while you're getting ready for 1064 01:00:43,240 --> 01:00:46,680 Speaker 1: a party, it works for that. It's it's very very 1065 01:00:46,720 --> 01:00:48,760 Speaker 1: relaxing and it can take it to a bunch of 1066 01:00:48,800 --> 01:00:50,880 Speaker 1: different places. But you know, it's got It's got a 1067 01:00:50,960 --> 01:00:53,200 Speaker 1: nice rhythm to it, so you can move your hips 1068 01:00:53,200 --> 01:00:56,920 Speaker 1: and get into it. So that's Sweto by Vic Tony 1069 01:00:57,040 --> 01:00:59,520 Speaker 1: and Tempo and you can find that song in the footnotes. 1070 01:00:59,760 --> 01:01:02,120 Speaker 1: But notes alright, well, The Daily ZA Guys is a 1071 01:01:02,120 --> 01:01:04,640 Speaker 1: production by Heart Radio. For more podcasts for my heart Radio, 1072 01:01:04,720 --> 01:01:08,080 Speaker 1: visit the I Heart Radio app, Apple podcast or wherever 1073 01:01:08,120 --> 01:01:09,800 Speaker 1: you listen to your favorite shows. That's going to do 1074 01:01:09,840 --> 01:01:12,240 Speaker 1: it for us this morning, back this afternoon to tell 1075 01:01:12,240 --> 01:01:14,160 Speaker 1: you what is trending and we will talk to you 1076 01:01:14,200 --> 01:01:15,440 Speaker 1: all then Bye past