1 00:00:00,120 --> 00:00:03,840 Speaker 1: Hello the Internet, and welcome to Season one, Episode one 2 00:00:03,880 --> 00:00:08,720 Speaker 1: after day La Geist to production of I Heart Radio. 3 00:00:09,320 --> 00:00:11,640 Speaker 1: This is the podcast where we take a deep dive 4 00:00:11,760 --> 00:00:17,720 Speaker 1: into America's shared consciousness. It is Monday, June one. My 5 00:00:17,800 --> 00:00:23,079 Speaker 1: name is Jack O'Brien, a K because I got tran 6 00:00:23,760 --> 00:00:29,160 Speaker 1: and Za places where the Baha blasts and the week 7 00:00:29,560 --> 00:00:36,720 Speaker 1: blazes my blues away. It'll be okay. Now, I'm not 8 00:00:37,120 --> 00:00:42,360 Speaker 1: big on you bet culture think I'll hover around lack 9 00:00:42,800 --> 00:00:49,760 Speaker 1: oh old volture cause I got trend in Zi places. 10 00:00:50,040 --> 00:00:53,760 Speaker 1: That is courtesy of Tulip City Dispatch. Shout out to you, 11 00:00:54,280 --> 00:00:57,960 Speaker 1: and I'm thrilled to be joined by today's special guest 12 00:00:58,000 --> 00:01:00,920 Speaker 1: co host, one of the very kings of culture himself. 13 00:01:01,080 --> 00:01:05,200 Speaker 1: Oh He is an AMBI nominated podcast host, writer, producer, actor, 14 00:01:05,319 --> 00:01:08,880 Speaker 1: voice artist, and even though it's not in that list 15 00:01:08,920 --> 00:01:11,560 Speaker 1: of credits, he is one of my favorite singers. Was 16 00:01:11,600 --> 00:01:17,600 Speaker 1: the brilliant and talented JACKI Snill. Here here we go. 17 00:01:18,440 --> 00:01:21,760 Speaker 1: I know it sounds funny, but I just really love 18 00:01:21,920 --> 00:01:27,959 Speaker 1: that gang. Doum to done, But I'm leaving you to 19 00:01:28,240 --> 00:01:33,640 Speaker 1: my road, seems to me. Baby, you know I've done 20 00:01:33,760 --> 00:01:38,640 Speaker 1: all I can. A part of major laughing the ball road. 21 00:01:40,040 --> 00:01:51,000 Speaker 1: Oh that's why I'm JOCKI saying KISSI like Sunday Morning, Dude, 22 00:01:51,080 --> 00:01:53,680 Speaker 1: sing along with me. It's that gang. That's why I'm 23 00:01:53,800 --> 00:02:09,600 Speaker 1: Jackie JACKISSI like Sunday moreing. Oh yeah, what's up, niggas 24 00:02:09,800 --> 00:02:13,680 Speaker 1: shout out to at Mfcerson. He gave me the idea 25 00:02:13,760 --> 00:02:17,680 Speaker 1: for that. I ran with it. Jakison like Sunday morning, 26 00:02:17,919 --> 00:02:20,520 Speaker 1: which is when you're Jakison, Like Sunday morning, what are 27 00:02:20,560 --> 00:02:24,440 Speaker 1: you doing? You are dread and waking up and uh, 28 00:02:24,760 --> 00:02:27,239 Speaker 1: you know, and trying to stay in bedford trying to 29 00:02:27,280 --> 00:02:29,480 Speaker 1: stay in bed for a little bit longer and waking 30 00:02:29,600 --> 00:02:32,239 Speaker 1: up like why am I still sleepy? And uh, man, 31 00:02:32,320 --> 00:02:35,160 Speaker 1: you know that's what That's what Jackison like Sunday morning is. 32 00:02:35,520 --> 00:02:37,240 Speaker 1: I got I qued you up as one of my 33 00:02:37,280 --> 00:02:40,239 Speaker 1: favorite singers, and you did not disappoint. I know that's 34 00:02:40,240 --> 00:02:42,320 Speaker 1: a lot to put on your shoulders, but I knew 35 00:02:42,360 --> 00:02:45,280 Speaker 1: you would come through. Oh well, listen, you gave it 36 00:02:45,280 --> 00:02:47,800 Speaker 1: to me first. You you you sang us out. I 37 00:02:47,880 --> 00:02:49,920 Speaker 1: just bought us home. But you know, I'm happy to 38 00:02:49,960 --> 00:02:53,320 Speaker 1: be here. What's up, everybody? What's man? Well? We are 39 00:02:53,360 --> 00:02:55,680 Speaker 1: thrilled to be joined in our third seat by another 40 00:02:55,960 --> 00:03:00,280 Speaker 1: hilarious improviser from one of the first improv comedy podcast ever, 41 00:03:00,360 --> 00:03:04,880 Speaker 1: Do It Left Handed Radio. He is Adam Boza, I 42 00:03:05,200 --> 00:03:09,680 Speaker 1: Jack and Shakis was here. I'm not in good voice today. 43 00:03:09,919 --> 00:03:13,000 Speaker 1: If I startled thinking it would be kind of oduquirq 44 00:03:13,080 --> 00:03:17,560 Speaker 1: I in, I would call him. It's all right, man, 45 00:03:17,600 --> 00:03:19,799 Speaker 1: it's all right. You know we we sang enough for you, 46 00:03:19,960 --> 00:03:22,520 Speaker 1: so we'll just say that you were featured on both 47 00:03:22,520 --> 00:03:25,040 Speaker 1: of our tracks. Yeah exactly. I think I think I 48 00:03:25,080 --> 00:03:29,960 Speaker 1: heard a little uh coming from Adam. Yeah yeah. And 49 00:03:30,000 --> 00:03:33,600 Speaker 1: by the way, Bob Kirk one of my favorite singers also, 50 00:03:33,880 --> 00:03:37,360 Speaker 1: so you got you guys should take any any compliments. 51 00:03:37,360 --> 00:03:40,760 Speaker 1: I give your voice with us with a huge grain 52 00:03:40,800 --> 00:03:45,320 Speaker 1: of salt. Adam, where you coming to us from Thai Town, Hollywood, 53 00:03:45,400 --> 00:03:50,240 Speaker 1: Los Angeles? Oh? I love Thai Town. They that's where 54 00:03:50,240 --> 00:03:54,560 Speaker 1: I found Roady Bred, Roady Bread, shout out, flat Top, 55 00:03:54,880 --> 00:03:57,720 Speaker 1: shout out, Flat Top Chicago, Flat Top Girl. In Chicago, 56 00:03:58,160 --> 00:04:01,320 Speaker 1: they sell Roady Brad. I always look for Homey and 57 00:04:01,360 --> 00:04:03,800 Speaker 1: my joy. It was like check Ti Town. I think 58 00:04:03,800 --> 00:04:10,160 Speaker 1: it's like the Shalo market that could bet Yeah, yeah, yeah, okay, 59 00:04:10,400 --> 00:04:15,680 Speaker 1: perfect get that Rody, go get that Roady Britt and 60 00:04:15,720 --> 00:04:18,680 Speaker 1: that's Roady. How are we spelling ROADI R O T 61 00:04:19,040 --> 00:04:22,360 Speaker 1: I Okay, so not r O U R O A 62 00:04:22,600 --> 00:04:26,200 Speaker 1: D I E like uh the people who work backstage 63 00:04:26,240 --> 00:04:31,760 Speaker 1: for megadeath or now you don't want road bright now? Yeah? Yeah, 64 00:04:31,800 --> 00:04:33,520 Speaker 1: you don't want that road. You can catch that at 65 00:04:33,560 --> 00:04:36,960 Speaker 1: Hollywood and Highland. They got a couple of stores. Get 66 00:04:37,000 --> 00:04:41,719 Speaker 1: that all right, Adam. We're gonna get to know you 67 00:04:41,720 --> 00:04:44,000 Speaker 1: a little bit better in a moment. First, we're gonna 68 00:04:44,000 --> 00:04:46,760 Speaker 1: tell our listeners a couple of the very funny things 69 00:04:46,760 --> 00:04:51,880 Speaker 1: we're talking about today. We're talking about the horrifying building 70 00:04:51,960 --> 00:04:56,880 Speaker 1: collapse down near Miami. There's just this like genre of 71 00:04:57,160 --> 00:05:02,000 Speaker 1: news stories of catastrophe is that we could have seen coming. 72 00:05:02,360 --> 00:05:05,279 Speaker 1: These news stories are all happening inside the big like 73 00:05:05,440 --> 00:05:07,719 Speaker 1: historic one of climate change. So I just want to 74 00:05:07,720 --> 00:05:10,000 Speaker 1: talk about that a little bit. We're gonna talk about 75 00:05:10,040 --> 00:05:14,839 Speaker 1: the Supreme Court just nailing it allowing slavery to be 76 00:05:15,000 --> 00:05:18,440 Speaker 1: used by Nestley, just taken away some rights from unions, 77 00:05:18,560 --> 00:05:21,719 Speaker 1: because you know, unions in America, when will it stop? 78 00:05:21,880 --> 00:05:26,200 Speaker 1: They're everywhere, They're just all over the place. Too many rights. 79 00:05:26,240 --> 00:05:30,120 Speaker 1: I say talk, it's a it's a heavy one to 80 00:05:30,279 --> 00:05:33,239 Speaker 1: start start the weeks as a beautiful It's a beautiful 81 00:05:33,279 --> 00:05:35,240 Speaker 1: start to the week, and I love it. We're going 82 00:05:35,320 --> 00:05:39,040 Speaker 1: to check in with the Nielsen ratings, uh and explain 83 00:05:39,160 --> 00:05:42,360 Speaker 1: what you know where Nielsen ratings come from. And I 84 00:05:42,360 --> 00:05:45,000 Speaker 1: feel like they're going to be a consistent part of 85 00:05:45,160 --> 00:05:48,640 Speaker 1: our show because they have finally put together a system 86 00:05:48,760 --> 00:05:51,320 Speaker 1: that takes into account streaming, so we'll be able to 87 00:05:51,480 --> 00:05:55,440 Speaker 1: have a better sense of what people are streaming only 88 00:05:55,560 --> 00:05:59,279 Speaker 1: on his daily side, Guys, will you get building collapsing, 89 00:06:00,040 --> 00:06:07,719 Speaker 1: slavery and the Nielsen race here? It is a second 90 00:06:07,800 --> 00:06:10,960 Speaker 1: rate podcast after all. But first, Adam, we like to 91 00:06:11,000 --> 00:06:14,560 Speaker 1: ask our guest, what is something from your search history? 92 00:06:14,920 --> 00:06:20,120 Speaker 1: Jordan Peterson? Hear me out? Okay, okay, we will. I 93 00:06:20,160 --> 00:06:23,200 Speaker 1: was trying to explain to my partner Anna who he 94 00:06:23,400 --> 00:06:25,719 Speaker 1: was and I don't know if you guys went through 95 00:06:25,760 --> 00:06:29,080 Speaker 1: this pandemic for the past sixteen months, but it's played 96 00:06:29,080 --> 00:06:31,080 Speaker 1: havoc on my memory. So I had to be like, 97 00:06:31,120 --> 00:06:33,960 Speaker 1: what what was it that he was so bad about? 98 00:06:34,040 --> 00:06:37,080 Speaker 1: And so I had to like look up explainers and 99 00:06:37,080 --> 00:06:40,120 Speaker 1: and and refreshed myself on on what his whole deal 100 00:06:40,360 --> 00:06:42,880 Speaker 1: was again, and it was just like it was a 101 00:06:42,880 --> 00:06:45,280 Speaker 1: weird kind of peek into like a box, like a 102 00:06:45,400 --> 00:06:47,520 Speaker 1: box of memories you haven't opened up in a while, 103 00:06:47,640 --> 00:06:51,000 Speaker 1: Like oh, yeah, you know, so you weren't ling. How 104 00:06:51,160 --> 00:06:56,599 Speaker 1: is Jordan Peterson right about everything? No? No, yeah, I 105 00:06:56,640 --> 00:07:02,760 Speaker 1: did get those videos suggestions, But yeah, will you ignorant 106 00:07:02,880 --> 00:07:05,719 Speaker 1: if I don't know anything about Jordan and Peterson? Like 107 00:07:05,800 --> 00:07:10,040 Speaker 1: what is he? What? What is he famous for? He's 108 00:07:10,200 --> 00:07:16,360 Speaker 1: famous for being a a psychologist, like a psychology professor 109 00:07:16,440 --> 00:07:21,040 Speaker 1: who Cannon conserted himself into the in Canada. Let's be yeah, 110 00:07:21,360 --> 00:07:27,040 Speaker 1: in Canada's qualify We're about to hear a story about 111 00:07:27,080 --> 00:07:32,200 Speaker 1: Canadian schools. I'm just saying, let's tina did. He also 112 00:07:32,280 --> 00:07:35,840 Speaker 1: like sort of inserted himself into the transgender debate like 113 00:07:35,880 --> 00:07:39,440 Speaker 1: about sixteen, saying he wasn't going to use prefer pronouns. 114 00:07:39,800 --> 00:07:43,880 Speaker 1: He also wrote a book called like Beyond Chaos twelve 115 00:07:43,960 --> 00:07:46,760 Speaker 1: Got twelve rules for living or something, And most of 116 00:07:46,800 --> 00:07:50,080 Speaker 1: them are like, you know, go to bed early, eat 117 00:07:50,120 --> 00:07:56,040 Speaker 1: meat exclusively, or some you know, just it's like a 118 00:07:56,080 --> 00:08:00,240 Speaker 1: mixture of things that are like observable true, like you know, 119 00:08:00,440 --> 00:08:04,640 Speaker 1: sleep is important and then think like make your beds sometimes, 120 00:08:04,640 --> 00:08:07,880 Speaker 1: like things that your parents would tell you. And then 121 00:08:08,520 --> 00:08:13,440 Speaker 1: just like poisonous men's rights act as ideals. He was 122 00:08:13,480 --> 00:08:17,400 Speaker 1: also I had a very strange last like a few 123 00:08:17,480 --> 00:08:22,240 Speaker 1: years where like his daughter, like he was living with 124 00:08:22,280 --> 00:08:24,800 Speaker 1: his daughter who was like kind of controlling his life, 125 00:08:24,840 --> 00:08:29,680 Speaker 1: and then like he was addicted to Benzo's and then 126 00:08:29,760 --> 00:08:33,720 Speaker 1: like went to Russia to get an experimental treatment for 127 00:08:34,400 --> 00:08:37,800 Speaker 1: benzo addiction that ended up putting him in a coma. 128 00:08:38,520 --> 00:08:41,160 Speaker 1: So just like kind of a rough few years for 129 00:08:41,240 --> 00:08:44,120 Speaker 1: somebody who is famous for telling people how to live 130 00:08:44,160 --> 00:08:48,880 Speaker 1: their lives. Sounds like the hero. Yeah. The one thing 131 00:08:48,920 --> 00:08:52,720 Speaker 1: I remember from the discussion about his book was that 132 00:08:52,760 --> 00:08:56,559 Speaker 1: he frequently talked about in like Beyond Chaos or whatever 133 00:08:56,600 --> 00:08:59,960 Speaker 1: it's called, that he watches The Simpsons on double speed. 134 00:09:02,400 --> 00:09:05,679 Speaker 1: I was just efficient, bro, because you want to know 135 00:09:05,760 --> 00:09:07,679 Speaker 1: what happens in the plot, but you don't want to 136 00:09:07,720 --> 00:09:09,760 Speaker 1: get the rhythm of the jokes or anything like that, 137 00:09:09,800 --> 00:09:13,760 Speaker 1: because all that time that you're laughing is wasted energy. 138 00:09:14,840 --> 00:09:18,920 Speaker 1: Twenty four minutes is too long to watch. TV's got 139 00:09:18,920 --> 00:09:22,800 Speaker 1: to speed this up, especially, it's just like goes down 140 00:09:22,960 --> 00:09:26,160 Speaker 1: so easy. Why was you got to speed this up 141 00:09:26,160 --> 00:09:32,880 Speaker 1: to an episode to half an episode of SpongeBob also 142 00:09:33,200 --> 00:09:37,120 Speaker 1: has a bunch of metaphors about human behavior that draw 143 00:09:37,240 --> 00:09:41,520 Speaker 1: on the behavior of lobsters that you know, nobody has 144 00:09:41,559 --> 00:09:46,760 Speaker 1: ever accused lobsters of being like the thing to model 145 00:09:47,000 --> 00:09:52,000 Speaker 1: your your behavior after, but he takes the interactions and 146 00:09:52,080 --> 00:09:57,720 Speaker 1: dynamics between female and male lobsters and draws conclusions from 147 00:09:57,760 --> 00:10:00,920 Speaker 1: that to like how you to act as a man 148 00:10:01,160 --> 00:10:04,800 Speaker 1: towards win. Well, look, I'm glad AXT, I'm glad ax 149 00:10:08,040 --> 00:10:10,679 Speaker 1: if that that saved you a Google, Yes, thank you, 150 00:10:10,760 --> 00:10:15,000 Speaker 1: thank you. What is something you think is overrated? Well, 151 00:10:15,480 --> 00:10:18,280 Speaker 1: I think the big story that keeps going around about 152 00:10:18,320 --> 00:10:22,640 Speaker 1: the unemployment crisis is kind of overrated. I think that 153 00:10:22,679 --> 00:10:25,560 Speaker 1: there's that big media narrative like nobody wants to go 154 00:10:25,600 --> 00:10:28,880 Speaker 1: to work, everybody's quitting their job, and it's just like, no, 155 00:10:29,920 --> 00:10:32,960 Speaker 1: it's not that. It's like a capital strike. So many 156 00:10:32,960 --> 00:10:36,360 Speaker 1: companies made so many billions and billions of dollars, So 157 00:10:36,400 --> 00:10:39,679 Speaker 1: many companies got free money from the government at one 158 00:10:39,679 --> 00:10:42,520 Speaker 1: point from like Steve Menuchin. We don't know who got it. 159 00:10:43,080 --> 00:10:45,440 Speaker 1: That money's out there and they just don't and and 160 00:10:45,480 --> 00:10:47,160 Speaker 1: they need people to work, but they don't want to 161 00:10:47,200 --> 00:10:50,760 Speaker 1: pay anybody. But it's always framed as like, oh, everybody 162 00:10:50,800 --> 00:10:53,400 Speaker 1: got used to not working in the panda. I don't know, 163 00:10:53,480 --> 00:10:57,920 Speaker 1: but like I hate being unemployed, Like it's still worse. 164 00:10:58,160 --> 00:11:00,280 Speaker 1: I would I want to take a job. I don't 165 00:11:00,280 --> 00:11:03,319 Speaker 1: want to take a job that like leaves me worse 166 00:11:03,520 --> 00:11:06,360 Speaker 1: off right at the end of the day than than 167 00:11:06,520 --> 00:11:09,920 Speaker 1: not working. It's such a yeah, So I think it's 168 00:11:10,120 --> 00:11:13,600 Speaker 1: it's so crazy to see how overinslated that media narrative 169 00:11:13,679 --> 00:11:17,400 Speaker 1: is Yeah, very American media. I think the I think 170 00:11:17,440 --> 00:11:21,440 Speaker 1: the real headline is during the pandemic, workers started to 171 00:11:21,480 --> 00:11:25,480 Speaker 1: realize they're fucking worth, like is the thing, you know, 172 00:11:25,720 --> 00:11:29,959 Speaker 1: Like people started to realize, wait a minute, I should 173 00:11:30,080 --> 00:11:32,960 Speaker 1: be earning more than poverty wages or wait a minute. 174 00:11:33,400 --> 00:11:36,439 Speaker 1: You know. A lot of the this is I'm just 175 00:11:36,480 --> 00:11:39,240 Speaker 1: a cog in a wheel, so I'm gonna care about 176 00:11:39,280 --> 00:11:41,920 Speaker 1: myself a little bit more. And it's not that people 177 00:11:41,960 --> 00:11:44,760 Speaker 1: don't want to work, is that people don't want to 178 00:11:44,800 --> 00:11:50,200 Speaker 1: work and live in poverty still, you know, Or people 179 00:11:50,280 --> 00:11:53,600 Speaker 1: don't want to commute a half hour and a half 180 00:11:53,600 --> 00:11:57,280 Speaker 1: to their job just to barely live above the poverty line, 181 00:11:57,360 --> 00:12:00,079 Speaker 1: you know, it's it's it's so much more in a 182 00:12:00,320 --> 00:12:03,800 Speaker 1: than you guys are lazy, and that's why we won't 183 00:12:03,840 --> 00:12:05,839 Speaker 1: give you anything, because if we give you more than 184 00:12:05,880 --> 00:12:07,800 Speaker 1: you will be even more lazy than you are. It's 185 00:12:07,880 --> 00:12:12,000 Speaker 1: it's fucking ridiculous. Yeah, I mean something that's not borne 186 00:12:12,000 --> 00:12:14,320 Speaker 1: out by the statistics. But we we talked about this 187 00:12:14,400 --> 00:12:17,560 Speaker 1: story earlier in the week, and just like the bullshit 188 00:12:17,640 --> 00:12:21,240 Speaker 1: of this media narrative, and some of our listeners who 189 00:12:21,640 --> 00:12:25,120 Speaker 1: work in the service industry we're pointing out, like it's 190 00:12:25,160 --> 00:12:28,520 Speaker 1: really awful to work in the service industry normally in 191 00:12:28,559 --> 00:12:33,920 Speaker 1: America because you're getting like all these sublimated ideals of 192 00:12:34,200 --> 00:12:38,120 Speaker 1: superiority and like how much money you make being an 193 00:12:38,120 --> 00:12:41,560 Speaker 1: indicator of like your inherent worth. Like basically, America is 194 00:12:41,720 --> 00:12:46,640 Speaker 1: a very classist society that refuses to allow you to 195 00:12:46,720 --> 00:12:51,600 Speaker 1: acknowledge that it has class structures in place. And so 196 00:12:51,679 --> 00:12:55,800 Speaker 1: it's just a complete fucking nightmare for anybody working in 197 00:12:56,480 --> 00:12:58,839 Speaker 1: like one of those jobs that a lot of people 198 00:12:58,840 --> 00:13:02,640 Speaker 1: are focusing on when they're perpetuating this narrative that like 199 00:13:03,240 --> 00:13:05,719 Speaker 1: and then so our our listeners were saying, and it 200 00:13:05,800 --> 00:13:08,760 Speaker 1: got way worse during the pandemic because when you add 201 00:13:08,800 --> 00:13:13,080 Speaker 1: anxiety to an already weird dynamic of people, you know, 202 00:13:13,600 --> 00:13:20,160 Speaker 1: taking out their anxieties and frustrations on on people who 203 00:13:20,160 --> 00:13:23,240 Speaker 1: are serving them, and like this whole American idea of 204 00:13:23,240 --> 00:13:26,920 Speaker 1: like the customers always right, it just becomes a complete 205 00:13:26,920 --> 00:13:31,079 Speaker 1: ship show. So, as somebody who worked in the service industry, 206 00:13:31,120 --> 00:13:34,840 Speaker 1: mostly retail, I am here to let all my customers 207 00:13:34,880 --> 00:13:40,360 Speaker 1: know you're mostly wrong, generally all the time, almost always, 208 00:13:40,400 --> 00:13:43,360 Speaker 1: almost always you're wrong. You're wrong. You don't know ship 209 00:13:44,840 --> 00:13:48,120 Speaker 1: like and and it's it's true, you know, like and 210 00:13:48,160 --> 00:13:50,640 Speaker 1: that's okay. Like let the people who you come to 211 00:13:50,760 --> 00:13:53,000 Speaker 1: like give you a service, give you a service without 212 00:13:53,520 --> 00:13:56,319 Speaker 1: giving them ship. This is why. And you know, if 213 00:13:56,320 --> 00:13:57,840 Speaker 1: you go to rest it right now, I know this 214 00:13:57,880 --> 00:14:01,240 Speaker 1: is probably say on the site, guys, but be patient 215 00:14:01,520 --> 00:14:05,600 Speaker 1: with all workers right now. Like we are. We have 216 00:14:05,679 --> 00:14:09,880 Speaker 1: accelerated our consumerism a lot quicker than the service and 217 00:14:09,960 --> 00:14:12,760 Speaker 1: the work industry has been able to catch back up 218 00:14:12,800 --> 00:14:16,960 Speaker 1: after sixteen months of a pandemic which is still ongoing. 219 00:14:17,280 --> 00:14:20,280 Speaker 1: It's endane, but it's ongoing. So it's it's it's pretty 220 00:14:20,280 --> 00:14:24,280 Speaker 1: wild man, it's a wild time. Yeah. Yeah, And and 221 00:14:24,640 --> 00:14:28,960 Speaker 1: keep tipping, keep keep the tipping up please, it's everybody 222 00:14:29,080 --> 00:14:32,760 Speaker 1: is everybody was overworked before because that was how the 223 00:14:32,800 --> 00:14:35,840 Speaker 1: system was built for like you know, restaurants and retail, 224 00:14:36,480 --> 00:14:40,680 Speaker 1: they overwork everybody. The schedules are are written to be 225 00:14:41,640 --> 00:14:45,280 Speaker 1: razors entire like really tight, so like you can't miss work. 226 00:14:45,320 --> 00:14:47,480 Speaker 1: If you miss work, then you're the asshole and your 227 00:14:47,480 --> 00:14:51,200 Speaker 1: whole everybody works with you hate you. And now it's worse, 228 00:14:51,240 --> 00:14:53,600 Speaker 1: and now there's gaps in that system, you know, so 229 00:14:53,680 --> 00:14:55,840 Speaker 1: like if you are going to go out, please, you know, 230 00:14:56,840 --> 00:15:00,600 Speaker 1: considered tipping at least twenty percent and the very least 231 00:15:01,360 --> 00:15:06,840 Speaker 1: is now the bottom like to be and then tip 232 00:15:06,880 --> 00:15:16,320 Speaker 1: an extra to me every time you call out yeah venmo. Yeah, 233 00:15:16,600 --> 00:15:19,480 Speaker 1: it's it's one of those things that Americans just like 234 00:15:19,600 --> 00:15:25,200 Speaker 1: don't realize the dynamic. Like, well, not to be the 235 00:15:25,280 --> 00:15:28,400 Speaker 1: when I went abroad guy, but when I went abroad 236 00:15:28,600 --> 00:15:32,640 Speaker 1: and came back, like one of the first things I 237 00:15:32,800 --> 00:15:35,840 Speaker 1: noticed I was in Ireland because uh that that was 238 00:15:35,840 --> 00:15:38,920 Speaker 1: an easy language for me to learn. And when I 239 00:15:38,960 --> 00:15:42,200 Speaker 1: came back, like there's not that many differences between like 240 00:15:42,280 --> 00:15:46,600 Speaker 1: a you know an Ireland and America, but like the 241 00:15:46,640 --> 00:15:50,680 Speaker 1: way that people have no patience and treat customer service 242 00:15:50,760 --> 00:15:56,119 Speaker 1: and just service workers like absolute shit is like palpable. 243 00:15:56,200 --> 00:16:00,720 Speaker 1: You like notice that immediately, like just every it's it's 244 00:16:00,760 --> 00:16:06,800 Speaker 1: just a completely different like quality to human interactions in America. Yeah, yeah, 245 00:16:07,360 --> 00:16:10,080 Speaker 1: I was home. I was home recently and we went 246 00:16:10,120 --> 00:16:12,920 Speaker 1: out to like a Panera bread with like me and 247 00:16:12,960 --> 00:16:16,600 Speaker 1: my my parents, and it was clear that they're like 248 00:16:16,680 --> 00:16:20,200 Speaker 1: training a person who is I think probably within her 249 00:16:20,240 --> 00:16:22,760 Speaker 1: retirement age, but she just started there or something, and 250 00:16:22,800 --> 00:16:25,800 Speaker 1: my dad just kept looking and being like she's not 251 00:16:25,840 --> 00:16:28,520 Speaker 1: doing it right, like this is taking forever. Why And 252 00:16:28,560 --> 00:16:33,480 Speaker 1: it's just like can you shut your mouth? Nobody wants 253 00:16:33,480 --> 00:16:38,360 Speaker 1: to work here to make sandwich wrong. Yeah. Yeah, it's 254 00:16:38,400 --> 00:16:42,280 Speaker 1: like American sin eaters. I read that metaphor used recently, 255 00:16:42,480 --> 00:16:45,360 Speaker 1: like the people who we just like give all our 256 00:16:45,560 --> 00:16:50,360 Speaker 1: anxieties and like social like dysfunction too, or like the 257 00:16:50,400 --> 00:16:57,880 Speaker 1: people who Panera it's just like they have to smell 258 00:16:57,960 --> 00:17:01,200 Speaker 1: the fake smell of fake bread until it makes them 259 00:17:01,240 --> 00:17:03,600 Speaker 1: like lose a part of their soul. Just cut them 260 00:17:03,600 --> 00:17:07,120 Speaker 1: a fucking break, Cut them a break. Yeah, Adam, what's 261 00:17:07,119 --> 00:17:11,480 Speaker 1: something you think is underrated? I landed on Tom Sharpling. 262 00:17:11,520 --> 00:17:15,160 Speaker 1: Are you guys aware of Tom sharp Ling The Best Show. Yeah, 263 00:17:15,760 --> 00:17:17,959 Speaker 1: he's got a new book coming out. I'm very excited 264 00:17:18,000 --> 00:17:20,200 Speaker 1: to read for anybody who's listening who doesn't know anything 265 00:17:20,240 --> 00:17:23,040 Speaker 1: about him. He's he was like, he's like a TV 266 00:17:23,160 --> 00:17:28,000 Speaker 1: writer's bit worked on The HFIS, Divorce and Monk, but 267 00:17:28,160 --> 00:17:30,159 Speaker 1: he started doing The Best Show, which was like a 268 00:17:30,320 --> 00:17:35,600 Speaker 1: three hour long comedy show on WFMU in New Jersey, 269 00:17:35,640 --> 00:17:37,919 Speaker 1: which is like a public not a public station, it's 270 00:17:37,960 --> 00:17:40,960 Speaker 1: a listener funded station. It's a three hour long call 271 00:17:41,080 --> 00:17:43,600 Speaker 1: in show and he has like comedians and characters and 272 00:17:43,600 --> 00:17:46,160 Speaker 1: stuff on it. He started doing it in you know, 273 00:17:46,359 --> 00:17:49,600 Speaker 1: like when Bill Clinton was still the president, before you 274 00:17:49,640 --> 00:17:54,120 Speaker 1: know iPods, so like, you know, it's like a guy 275 00:17:54,160 --> 00:17:56,679 Speaker 1: who's been at it for forever, who's just you know, 276 00:17:56,880 --> 00:17:59,720 Speaker 1: started as this guy in New Jersey with a radio 277 00:17:59,760 --> 00:18:03,399 Speaker 1: show and is now you know, telling books. He's got 278 00:18:03,440 --> 00:18:06,960 Speaker 1: this podcast with Julie Klausner. He's very funny. Like, I 279 00:18:06,960 --> 00:18:09,840 Speaker 1: don't think he's still not getting the recognition he deserves. 280 00:18:09,840 --> 00:18:14,119 Speaker 1: He's still feels like a like undiscovered comedy gem that 281 00:18:14,200 --> 00:18:16,439 Speaker 1: you can you know, he's got so much work to 282 00:18:16,480 --> 00:18:21,280 Speaker 1: go back in experience, So I'm hoping that like it 283 00:18:21,440 --> 00:18:23,840 Speaker 1: kind of turns over. He's also involved in, like I 284 00:18:23,880 --> 00:18:25,679 Speaker 1: think the first season of What We Do in the 285 00:18:25,680 --> 00:18:29,720 Speaker 1: Shadows as a producer writer. I think. So he's very, 286 00:18:29,840 --> 00:18:33,280 Speaker 1: very funny. I just think not enough people know about him. Yeah, 287 00:18:33,320 --> 00:18:36,119 Speaker 1: he about he's writing Grown Ups three right now, which 288 00:18:37,160 --> 00:18:40,000 Speaker 1: is he really Yeah, to get to the theater sc 289 00:18:40,200 --> 00:18:45,920 Speaker 1: that that next, Adam Sandler, Chris rock Jam Yeah, okay, 290 00:18:45,960 --> 00:18:49,240 Speaker 1: but he is always he's somebody that like all your 291 00:18:49,240 --> 00:18:52,600 Speaker 1: favorite comedians and comedy writers are like a big fan 292 00:18:52,680 --> 00:18:57,240 Speaker 1: of and like probably no personally, like yeah, and the 293 00:18:57,280 --> 00:19:00,520 Speaker 1: Best show is awesome that it's a ailable as a 294 00:19:00,560 --> 00:19:03,080 Speaker 1: podcast or at least some of some episodes are available 295 00:19:03,080 --> 00:19:06,240 Speaker 1: as a podcast. But he's also like he would like 296 00:19:06,320 --> 00:19:09,919 Speaker 1: do these weird like music mashups that I don't know. 297 00:19:09,960 --> 00:19:13,080 Speaker 1: He's just like a super talented dude. Like everything he 298 00:19:13,160 --> 00:19:15,320 Speaker 1: does is kind of cool. He did this like one 299 00:19:15,400 --> 00:19:18,639 Speaker 1: mashup of the Doors, and he was like, you know, 300 00:19:18,680 --> 00:19:21,200 Speaker 1: I didn't really like the Doors until I just did that, 301 00:19:21,280 --> 00:19:22,879 Speaker 1: And it was true of me too. I didn't like 302 00:19:22,920 --> 00:19:25,399 Speaker 1: the Doors until I heard his like mashup that, Like 303 00:19:25,480 --> 00:19:28,439 Speaker 1: he used some of Jim Morrison's vocals. Yeah, he's a 304 00:19:28,520 --> 00:19:33,160 Speaker 1: he's a really interesting and uh funny dude. Great underrated man, 305 00:19:33,240 --> 00:19:36,199 Speaker 1: great under Thank you, thank you, thank you. All right, 306 00:19:36,320 --> 00:19:38,880 Speaker 1: let's take a quick break and we'll be right back. 307 00:19:49,560 --> 00:19:54,840 Speaker 1: And we're back. And so there's the building collapse in 308 00:19:55,560 --> 00:19:59,280 Speaker 1: Miami search side last week. At the end of last week. 309 00:19:59,640 --> 00:20:02,040 Speaker 1: We're not, uh like, we don't have all the information 310 00:20:02,080 --> 00:20:05,320 Speaker 1: on what caused it, but there are reports starting to 311 00:20:05,400 --> 00:20:09,280 Speaker 1: come out that it was a building that you know, 312 00:20:09,359 --> 00:20:12,200 Speaker 1: people who pay attention to these sorts of things were 313 00:20:12,200 --> 00:20:15,160 Speaker 1: worried about, like had their eye on starting in the nineties. 314 00:20:15,680 --> 00:20:20,160 Speaker 1: Scientists in the nine nineties said they noticed something wasn't right. 315 00:20:20,680 --> 00:20:24,040 Speaker 1: It was a byproduct of analyzing the data. We saw 316 00:20:24,119 --> 00:20:29,440 Speaker 1: this building had some kind of unusual movement. And it's 317 00:20:29,480 --> 00:20:33,320 Speaker 1: just this genre of story. So like Adam McKay has 318 00:20:33,359 --> 00:20:36,240 Speaker 1: this movie coming soon where a couple of scientists noticed 319 00:20:36,280 --> 00:20:39,840 Speaker 1: that there's a world ending asteroid like hurtling towards Earth 320 00:20:40,200 --> 00:20:43,040 Speaker 1: to destroy us. All it's called don't look Up and 321 00:20:43,200 --> 00:20:46,760 Speaker 1: they go from country to country like warning world leaders 322 00:20:46,960 --> 00:20:49,920 Speaker 1: about it, and like nobody will take it seriously. Everybody's 323 00:20:50,000 --> 00:20:52,359 Speaker 1: just like yeah, yeah, sure, no, no, no, we get it. 324 00:20:52,440 --> 00:20:54,640 Speaker 1: We hear what you're saying, but they just like won't 325 00:20:54,680 --> 00:20:58,880 Speaker 1: do anything about it. And I think it's it's a 326 00:20:58,920 --> 00:21:02,080 Speaker 1: good metaphor, but it's like we have we have metaphors 327 00:21:02,200 --> 00:21:09,080 Speaker 1: of that every single fucking day, like it's constant. Yeah, there, 328 00:21:09,200 --> 00:21:12,160 Speaker 1: there's so this is uh one of those one such 329 00:21:12,200 --> 00:21:15,359 Speaker 1: metaphor where and like local politicians are like, let's not 330 00:21:15,440 --> 00:21:17,919 Speaker 1: jump to conclusions. We don't know what caused it. But 331 00:21:18,000 --> 00:21:22,840 Speaker 1: the fact that they are like that, there was data 332 00:21:22,920 --> 00:21:26,120 Speaker 1: that was like this building is doing something buildings shouldn't 333 00:21:26,160 --> 00:21:30,160 Speaker 1: do back in the nineties, like suggests, and they haven't 334 00:21:30,160 --> 00:21:32,959 Speaker 1: done and hadn't done anything, not a single thing. They 335 00:21:33,000 --> 00:21:38,440 Speaker 1: still reach it out condos they is is wild too. 336 00:21:39,280 --> 00:21:46,040 Speaker 1: I saw this story and literally like just you hear 337 00:21:46,080 --> 00:21:49,800 Speaker 1: any like damn, but like think about this, Think of 338 00:21:49,920 --> 00:21:54,440 Speaker 1: your sleep at one in the morning and your building 339 00:21:54,520 --> 00:21:59,480 Speaker 1: collapses on top of you, leving me a panic attack. Right, 340 00:21:59,760 --> 00:22:05,120 Speaker 1: it is the wildest ship that it is. Truly, I'm 341 00:22:05,160 --> 00:22:08,639 Speaker 1: surprised this isn't like a bigger story because it is terrifying. 342 00:22:08,800 --> 00:22:12,440 Speaker 1: It's terrifying. And then to hear yo, we've been uh, 343 00:22:12,520 --> 00:22:16,840 Speaker 1: we've actually been you know on this since it's like 344 00:22:16,880 --> 00:22:20,119 Speaker 1: all right, then DWN. Y'all build a new ship all 345 00:22:20,160 --> 00:22:22,000 Speaker 1: the time. Y'all couldn't tear it just building down and 346 00:22:22,000 --> 00:22:25,120 Speaker 1: build a new one. It is wild. It's not good 347 00:22:25,119 --> 00:22:27,920 Speaker 1: when the it's not good when the experts are like yeah, 348 00:22:28,880 --> 00:22:35,000 Speaker 1: h yeah, yeah, they knew what the building was for, 349 00:22:35,400 --> 00:22:38,359 Speaker 1: Like anybody told them, Yeah, that's not a good sign. 350 00:22:38,720 --> 00:22:41,160 Speaker 1: That's not a good sign. And you know, anybody who 351 00:22:41,200 --> 00:22:43,440 Speaker 1: lives in the l A area, I think is also 352 00:22:43,480 --> 00:22:48,920 Speaker 1: seeing a proliferation of high rise buildings going in around 353 00:22:48,600 --> 00:22:53,960 Speaker 1: all around Los Angeles, and you know, it's not outside 354 00:22:54,000 --> 00:22:57,440 Speaker 1: of the imagination that there will be a earthquake that 355 00:22:57,480 --> 00:23:00,680 Speaker 1: can rattle these things enough, you know, to cause some 356 00:23:00,800 --> 00:23:04,600 Speaker 1: significant damage. I mean we have. Yeah, there's another kind 357 00:23:04,600 --> 00:23:08,560 Speaker 1: of smaller scale but still catastrophic story, like where we're 358 00:23:08,600 --> 00:23:10,520 Speaker 1: still waiting for the other shoe to drop, but we 359 00:23:10,560 --> 00:23:13,040 Speaker 1: know the other shoe is gonna drop with the what's 360 00:23:13,040 --> 00:23:17,440 Speaker 1: called the Cascadia Subduction Zone, which is the Pacific Northwest, 361 00:23:17,480 --> 00:23:21,879 Speaker 1: actually has had like some of the biggest earthquakes in 362 00:23:22,160 --> 00:23:26,320 Speaker 1: the history of the world. But it's just they were 363 00:23:26,359 --> 00:23:32,200 Speaker 1: happening before people were habitating like that part of the country. 364 00:23:32,240 --> 00:23:35,359 Speaker 1: But they were so big that like they created massive 365 00:23:35,400 --> 00:23:38,679 Speaker 1: tsunamis that hit Japan, like raised all the way across 366 00:23:38,720 --> 00:23:41,840 Speaker 1: the Pacific Ocean and hit Japan because that's how big 367 00:23:41,880 --> 00:23:45,159 Speaker 1: these earthquakes are. Seismologists finally like figured it out in 368 00:23:45,160 --> 00:23:47,800 Speaker 1: the past twenty five years that like we're due for 369 00:23:47,960 --> 00:23:54,040 Speaker 1: another one of these like massive you know, catastrophic tsunami 370 00:23:54,080 --> 00:24:00,000 Speaker 1: creating earthquakes in the next fifty years. And they're still 371 00:24:00,160 --> 00:24:03,240 Speaker 1: like building schools in the tsunami zones and ship like 372 00:24:03,280 --> 00:24:06,560 Speaker 1: they're like, you know, ringing the church bells and fucking 373 00:24:06,880 --> 00:24:09,040 Speaker 1: meeting with the mayors, and the mayors are like, Okay, 374 00:24:09,080 --> 00:24:14,159 Speaker 1: we we hear you, but this is that information. Uh 375 00:24:14,320 --> 00:24:17,879 Speaker 1: we're going to dismiss as being unprofitable. Is like we 376 00:24:17,960 --> 00:24:21,479 Speaker 1: hear you, we hear you. We really do, yes, but 377 00:24:21,640 --> 00:24:24,760 Speaker 1: real talk, I ain't gonna know nobody in a honey years. 378 00:24:24,760 --> 00:24:27,520 Speaker 1: I don't care about them. Motherfucker's like that's what they say, 379 00:24:27,560 --> 00:24:29,879 Speaker 1: that's what they say, And do you see it coming. 380 00:24:30,000 --> 00:24:33,679 Speaker 1: I don't see the earthquake right a hun of years. 381 00:24:34,080 --> 00:24:38,960 Speaker 1: Oh should I'll be dead before the bill bill bill? 382 00:24:39,000 --> 00:24:43,200 Speaker 1: Like it's wild. There's another like the deadliest landslide of 383 00:24:43,240 --> 00:24:48,280 Speaker 1: all time happened in Peru and is this is another 384 00:24:48,280 --> 00:24:52,959 Speaker 1: case like in nineteen sixty, these mountaineers like climbed up 385 00:24:52,960 --> 00:24:55,120 Speaker 1: a mountain and we're like, oh, ship, like the whole 386 00:24:55,160 --> 00:24:58,560 Speaker 1: side of this mountain is ready to give way, Like 387 00:24:58,640 --> 00:25:03,840 Speaker 1: you guys need to move this town. And those scientists 388 00:25:03,880 --> 00:25:06,000 Speaker 1: were run out of town, like run out of the 389 00:25:06,040 --> 00:25:10,320 Speaker 1: country basically by local officials. And then ten years later 390 00:25:10,520 --> 00:25:14,280 Speaker 1: an entire town was like swallowed by a landslide when 391 00:25:14,320 --> 00:25:17,520 Speaker 1: there was an earthquake. It was like exactly what they 392 00:25:17,560 --> 00:25:20,639 Speaker 1: fucking said. It was like word for word, like they 393 00:25:20,680 --> 00:25:23,280 Speaker 1: were like, well, so here's what's gonna happen if you 394 00:25:23,320 --> 00:25:26,080 Speaker 1: guys don't like do something about it. And they just 395 00:25:26,119 --> 00:25:29,760 Speaker 1: didn't do anything and instead kicked them out of the country. 396 00:25:30,200 --> 00:25:34,439 Speaker 1: You know what, Jack and Adam, I'm gonna give you 397 00:25:34,480 --> 00:25:37,760 Speaker 1: this permission as well if like wherever in the building 398 00:25:37,800 --> 00:25:42,240 Speaker 1: that collapses or you know, a muth slide happens, and 399 00:25:42,320 --> 00:25:45,200 Speaker 1: they've known this ship was going to happen for ten 400 00:25:46,240 --> 00:25:51,000 Speaker 1: fifty a hundred years and we survive. We have one 401 00:25:52,600 --> 00:25:56,200 Speaker 1: autonomy to give each and every person we run into 402 00:25:56,320 --> 00:26:01,000 Speaker 1: them hands. If we ever run into like we like 403 00:26:01,200 --> 00:26:03,560 Speaker 1: on site on site, I don't give a funk and 404 00:26:03,600 --> 00:26:05,679 Speaker 1: you and we can't go to jail. You can't do 405 00:26:05,920 --> 00:26:08,399 Speaker 1: because you know, you know I survived. I'm beating your 406 00:26:08,440 --> 00:26:11,200 Speaker 1: ass every time I'm seeing you every single time. So 407 00:26:11,320 --> 00:26:13,800 Speaker 1: like we all have that autonomy, we can all do 408 00:26:13,880 --> 00:26:17,760 Speaker 1: that if our buildings collapse on top of us, which 409 00:26:17,760 --> 00:26:20,879 Speaker 1: will suck for you know, make that deal. Okay, thank you, 410 00:26:21,000 --> 00:26:23,520 Speaker 1: thank you. I just wanted to have the permission to 411 00:26:23,840 --> 00:26:26,400 Speaker 1: This is what the Supreme Court should be ruling instead 412 00:26:26,400 --> 00:26:30,680 Speaker 1: of the protecting corporations from Yes, the Supreme Court should 413 00:26:30,760 --> 00:26:33,480 Speaker 1: rule like the times, we can realistically give people these 414 00:26:33,520 --> 00:26:37,439 Speaker 1: hands and it would be okay if if you if 415 00:26:37,480 --> 00:26:40,240 Speaker 1: you survive a terrorist attack, you get your student debt 416 00:26:40,320 --> 00:26:43,760 Speaker 1: paid off. If you survive a landslide or building collapse, 417 00:26:43,800 --> 00:26:46,880 Speaker 1: you get to slap whoever you want. Right, These are 418 00:26:46,920 --> 00:26:51,240 Speaker 1: fair deals, These are fair, These are practical solutions. You 419 00:26:51,320 --> 00:26:53,120 Speaker 1: kind of start to see the problem when you listen 420 00:26:53,119 --> 00:26:57,120 Speaker 1: to the scientists from this building collapse talk about the problem. 421 00:26:57,480 --> 00:26:59,960 Speaker 1: The scientist says, it's very sad that people are forced 422 00:27:00,000 --> 00:27:03,080 Speaker 1: to be reactive. We're constantly putting out fires. I think 423 00:27:03,119 --> 00:27:07,200 Speaker 1: there's a systemic problem we have investing in preventative measures 424 00:27:07,200 --> 00:27:12,480 Speaker 1: instead of reactive responses saves lives, money, and time. It's like, yeah, 425 00:27:12,600 --> 00:27:15,080 Speaker 1: I mean that, like everything they just said is true, 426 00:27:15,480 --> 00:27:21,960 Speaker 1: but you also understand like systemic problems investing in preventative measures. Okay, 427 00:27:22,280 --> 00:27:24,320 Speaker 1: point dexter, whytt you go do me up a math 428 00:27:24,400 --> 00:27:26,640 Speaker 1: equation and me and my boys are gonna go over 429 00:27:26,680 --> 00:27:30,560 Speaker 1: here and like fight some people who did crimes already 430 00:27:30,600 --> 00:27:34,600 Speaker 1: that already hurt somebody. It's just like not the ship 431 00:27:34,720 --> 00:27:38,680 Speaker 1: that humans respond to. But we you know, we've also 432 00:27:38,840 --> 00:27:43,800 Speaker 1: done things that basically behavioral modifications and like taking into 433 00:27:43,840 --> 00:27:45,960 Speaker 1: account Okay, this is what humans respond to, this is 434 00:27:46,000 --> 00:27:48,280 Speaker 1: what they don't respond to, and like this is how 435 00:27:48,359 --> 00:27:51,439 Speaker 1: we get things to change over long periods. We just 436 00:27:51,480 --> 00:27:54,520 Speaker 1: need to start sort of engineering society so that we 437 00:27:54,560 --> 00:27:59,080 Speaker 1: take these you know, existential threats to human the human 438 00:27:59,119 --> 00:28:02,320 Speaker 1: species like seriously and start making changes. I just don't 439 00:28:02,359 --> 00:28:06,040 Speaker 1: know how to like force the hand force their hand 440 00:28:06,080 --> 00:28:08,000 Speaker 1: to do it. Well, you know, if we do that, 441 00:28:08,080 --> 00:28:12,679 Speaker 1: then we would have no more action movies, right, movies 442 00:28:13,240 --> 00:28:15,399 Speaker 1: you get rid of all disasters? What else are we 443 00:28:15,440 --> 00:28:19,879 Speaker 1: gonna watch? The rock? Do? I mean? That's exactly right. 444 00:28:21,119 --> 00:28:27,440 Speaker 1: Action movies is not preventative measures to safeguard action movies. Yeah, 445 00:28:27,560 --> 00:28:30,200 Speaker 1: because there's there's there's going to be they're gonna find 446 00:28:30,200 --> 00:28:33,880 Speaker 1: a villain. They're gonna find somebody to pin it on, like, oh, 447 00:28:34,040 --> 00:28:38,080 Speaker 1: you did this. You know it's the contractor's fault. It's this, 448 00:28:38,200 --> 00:28:41,239 Speaker 1: it's this person's fault, or you know, some sort of 449 00:28:41,280 --> 00:28:46,880 Speaker 1: made up anarchists organizations. They're just gonna pin it on somebody. 450 00:28:46,960 --> 00:28:49,600 Speaker 1: And like it's probably the way that the whole climate 451 00:28:49,680 --> 00:28:53,360 Speaker 1: crisis gets solved, as when we finally go like, hey, 452 00:28:53,440 --> 00:28:56,240 Speaker 1: it's this guy's fault that we've been burning gas for 453 00:28:56,280 --> 00:28:58,840 Speaker 1: a hundred years. Let's get him. I mean, we have 454 00:28:58,960 --> 00:29:01,640 Speaker 1: the we know who the villains are. It's fucking excellent. 455 00:29:01,720 --> 00:29:05,320 Speaker 1: It's like the oil company isn't like like of climate 456 00:29:05,400 --> 00:29:09,240 Speaker 1: change was caused by like ten companies. It's we know. 457 00:29:09,440 --> 00:29:12,480 Speaker 1: I'll give you your villains, just like come ask me. 458 00:29:12,600 --> 00:29:14,160 Speaker 1: I'll tell you who the villains are. I'll tell you 459 00:29:14,200 --> 00:29:17,240 Speaker 1: who the villains are in this, uh, this building collapse. 460 00:29:17,280 --> 00:29:20,480 Speaker 1: I'll tell you who the villains were in that Peruvian landslide. 461 00:29:20,560 --> 00:29:22,880 Speaker 1: You just have to like do the research. All right, 462 00:29:23,360 --> 00:29:27,480 Speaker 1: Let's talk about the Supreme Court real quick, because as 463 00:29:27,560 --> 00:29:31,560 Speaker 1: mentioned and and there's like a lot of I'm seeing 464 00:29:31,920 --> 00:29:36,080 Speaker 1: on like anywhere from the center to the right, people 465 00:29:36,160 --> 00:29:38,760 Speaker 1: being like, well, these are not as big a deal 466 00:29:38,840 --> 00:29:42,160 Speaker 1: as you think, but like when you like thinking about 467 00:29:42,200 --> 00:29:48,080 Speaker 1: behavioral engineering type ship and thinking about like corporations and 468 00:29:48,120 --> 00:29:52,120 Speaker 1: how you get corporations to do anything and how just 469 00:29:52,720 --> 00:29:57,520 Speaker 1: what we know about how corporations behave these are major rulings. 470 00:29:57,760 --> 00:30:02,160 Speaker 1: So first there's a ruling where the Supreme Court found 471 00:30:02,640 --> 00:30:07,760 Speaker 1: that people who suffered under child slavery could not sue 472 00:30:07,960 --> 00:30:13,080 Speaker 1: American corporations who profited from the child slavery. So nest 473 00:30:13,160 --> 00:30:16,840 Speaker 1: Lee's and a lot of chocolate companies for long periods 474 00:30:16,880 --> 00:30:22,320 Speaker 1: of their history, we're profiting off of child slavery. You know, 475 00:30:22,400 --> 00:30:26,880 Speaker 1: they weren't saying like there wasn't a Nestlee corporate meeting 476 00:30:27,120 --> 00:30:30,680 Speaker 1: where they said go do child slavery. Instead, they were 477 00:30:30,760 --> 00:30:34,720 Speaker 1: just like, you know, we like when labor costs are 478 00:30:34,880 --> 00:30:39,520 Speaker 1: near zero, and you know, they let the dirty work 479 00:30:39,560 --> 00:30:42,680 Speaker 1: be done in other countries. And that's the Supreme Courts 480 00:30:42,720 --> 00:30:45,960 Speaker 1: like they technically didn't say it in America, so we 481 00:30:46,080 --> 00:30:48,640 Speaker 1: have to let them go. Like that's been the biggest 482 00:30:48,800 --> 00:30:52,120 Speaker 1: trend in the Supreme Court over the past twenty years. 483 00:30:52,240 --> 00:30:57,880 Speaker 1: Is just like absolutely letting corporations get away with fucking anything. 484 00:30:58,120 --> 00:31:02,960 Speaker 1: And you're just like, like they are like the thing 485 00:31:03,040 --> 00:31:05,719 Speaker 1: that most needs to be protected in the in this 486 00:31:05,800 --> 00:31:10,080 Speaker 1: country as opposed to the single most powerful actor in 487 00:31:10,400 --> 00:31:13,600 Speaker 1: the United States. Yeah, and like I'm looking. I'm looking 488 00:31:13,640 --> 00:31:16,800 Speaker 1: here too, and it you know, it's it's wild. We 489 00:31:16,840 --> 00:31:19,440 Speaker 1: have a road here in l A called Caesar Chevis, right, 490 00:31:19,720 --> 00:31:22,880 Speaker 1: we name an entire road after a man who did 491 00:31:23,040 --> 00:31:27,000 Speaker 1: so much for so many people. And the Supreme Court 492 00:31:27,160 --> 00:31:31,440 Speaker 1: ruled that a California regulation, which allows union organizers to 493 00:31:31,520 --> 00:31:36,240 Speaker 1: recruit agricultural workers at their workplace, violated the constitutional rights. 494 00:31:36,240 --> 00:31:38,920 Speaker 1: So their employee, like it, undid so much work that 495 00:31:39,000 --> 00:31:41,520 Speaker 1: this man did, and you still, like cavin the nerve 496 00:31:41,600 --> 00:31:46,320 Speaker 1: to walk on his street here in California. Is is 497 00:31:46,360 --> 00:31:52,240 Speaker 1: so wild How we shipped on people doing real change. 498 00:31:52,280 --> 00:31:56,720 Speaker 1: We shipped on the actual worker, and we shipped on 499 00:31:56,920 --> 00:32:00,240 Speaker 1: people wanted to form unions to protect themselves at the 500 00:32:00,280 --> 00:32:03,440 Speaker 1: expense of who. Like that's That's what I'm not understanding. 501 00:32:03,520 --> 00:32:07,560 Speaker 1: Like nobody's gonna not be rich anymore, Like they're still 502 00:32:07,560 --> 00:32:10,360 Speaker 1: gonna be rich. I'm all for people having their money. 503 00:32:10,360 --> 00:32:13,560 Speaker 1: People have your money. I don't care. Have you millions, 504 00:32:13,560 --> 00:32:15,680 Speaker 1: have you billions? I don't give a ship. Like it's 505 00:32:15,680 --> 00:32:19,280 Speaker 1: not going to change. I get that, But at the 506 00:32:19,280 --> 00:32:22,400 Speaker 1: expense of people who are barely making it, who do 507 00:32:22,600 --> 00:32:26,520 Speaker 1: real things for change, who you take away like something 508 00:32:26,560 --> 00:32:29,960 Speaker 1: that people fault and died for for a corporation that's 509 00:32:29,960 --> 00:32:33,240 Speaker 1: here today maybe gone tomorrow is so insane to me, 510 00:32:33,360 --> 00:32:36,280 Speaker 1: is so infuriating to me as well. Yeah, what is 511 00:32:36,280 --> 00:32:40,120 Speaker 1: the constitutional right being violated here? You know what I mean? 512 00:32:40,240 --> 00:32:45,600 Speaker 1: Like the ruling came about because corporations were like, these 513 00:32:45,720 --> 00:32:49,200 Speaker 1: unions are coming on to our land that we own 514 00:32:49,920 --> 00:32:54,400 Speaker 1: and contacting our workers. It's like a complete bullshit technicality 515 00:32:54,600 --> 00:32:59,800 Speaker 1: trespassing basically. But yeah, basically the first one, the slavery one, 516 00:33:00,080 --> 00:33:03,160 Speaker 1: is like an eight to one ruling. This one is 517 00:33:03,440 --> 00:33:07,120 Speaker 1: six six to three with the three liberal justices like 518 00:33:07,200 --> 00:33:10,280 Speaker 1: being the ones who held out. But Jack, are you 519 00:33:10,320 --> 00:33:15,800 Speaker 1: saying that some liberal people like allowed slate, they still 520 00:33:15,880 --> 00:33:21,920 Speaker 1: want slavery to go like liberals, But we thought, oh man, 521 00:33:21,960 --> 00:33:24,920 Speaker 1: I gotta go, I'll talk to you all. I mean, 522 00:33:25,000 --> 00:33:30,000 Speaker 1: it's fine like Obama, who's like number one liberal, like 523 00:33:30,360 --> 00:33:34,280 Speaker 1: a viral lifetime always said like that the arc of 524 00:33:34,320 --> 00:33:37,480 Speaker 1: the universe bends towards justice, Like he took that Martin 525 00:33:37,600 --> 00:33:40,440 Speaker 1: Luther King Jr. Quote. But I feel like we're also 526 00:33:40,480 --> 00:33:43,400 Speaker 1: seeing that the ark of the universe in America bends 527 00:33:43,480 --> 00:33:47,800 Speaker 1: too towards like erasure of the work done by left 528 00:33:47,800 --> 00:33:51,920 Speaker 1: wing and like, you know, community organizers, says our Chavas. 529 00:33:52,040 --> 00:33:53,520 Speaker 1: Like when I was growing up, I was like, you 530 00:33:53,560 --> 00:33:56,480 Speaker 1: mean Julio, says our Javas, the boxer. I didn't know 531 00:33:56,480 --> 00:33:58,480 Speaker 1: who the funk that was, like growing up in a 532 00:33:58,560 --> 00:34:03,840 Speaker 1: public education and Ohio, and like Martin Luther King Jr. 533 00:34:03,960 --> 00:34:07,160 Speaker 1: Like all of the community building and like worker isn't 534 00:34:07,320 --> 00:34:10,279 Speaker 1: poor rights work that he did get erased and it 535 00:34:10,360 --> 00:34:14,400 Speaker 1: just turns into a message of like being the value 536 00:34:14,440 --> 00:34:17,640 Speaker 1: of being color blind. And it's just like yeah, man, 537 00:34:17,800 --> 00:34:20,160 Speaker 1: that and then Obama, who starts out as a community 538 00:34:20,239 --> 00:34:24,480 Speaker 1: organizer becomes like the person who bails out Wall Street. Yeah, 539 00:34:24,760 --> 00:34:27,520 Speaker 1: it's just live long enough to see yourself becoming the villain. 540 00:34:27,560 --> 00:34:30,400 Speaker 1: I guess. Yeah. Yeah. Also, did I call him Caesar 541 00:34:30,520 --> 00:34:34,520 Speaker 1: Chaves earlier? And I says, are I'm sure I might 542 00:34:34,560 --> 00:34:37,840 Speaker 1: have too, But it's okay. You know what, we blame education, 543 00:34:38,520 --> 00:34:44,960 Speaker 1: education and cancel my history teach America. I believe that 544 00:34:45,040 --> 00:34:48,880 Speaker 1: my lesson on saysar Shops was just the name Caesar 545 00:34:48,960 --> 00:34:53,200 Speaker 1: shov Is. That's it, you know, like that's that's all 546 00:34:53,200 --> 00:34:55,200 Speaker 1: the information you get is like through it was a 547 00:34:55,360 --> 00:34:59,160 Speaker 1: man whose name we mispronounced. There you guys a day, Okay, 548 00:34:59,480 --> 00:35:04,880 Speaker 1: that's it? Yeah? Yeah? Do you guys think that what 549 00:35:04,880 --> 00:35:06,960 Speaker 1: what would a class war look like to you all? 550 00:35:07,440 --> 00:35:12,200 Speaker 1: Like I have trouble because you know, it seems like 551 00:35:12,560 --> 00:35:16,400 Speaker 1: we we may be heading toward towards that. Maybe I 552 00:35:16,400 --> 00:35:18,960 Speaker 1: don't know, I don't even know how it would look though, 553 00:35:19,080 --> 00:35:22,840 Speaker 1: because I feel so unpowerful that like it feels like 554 00:35:23,239 --> 00:35:27,239 Speaker 1: it feels like taking a knife to a buzuka fight. Yeah, 555 00:35:27,400 --> 00:35:31,160 Speaker 1: I mean it look like last year. Yeah, I think 556 00:35:31,160 --> 00:35:35,080 Speaker 1: it'll have to look like you know, the community organizing 557 00:35:35,080 --> 00:35:39,400 Speaker 1: that happened last year, but like ramped up, and I 558 00:35:39,400 --> 00:35:41,960 Speaker 1: don't I think it'll have to be like something that 559 00:35:42,120 --> 00:35:45,239 Speaker 1: starts and then like builds up a momentum of its own, 560 00:35:45,320 --> 00:35:49,280 Speaker 1: because unions have been so defanged and like the actual 561 00:35:49,480 --> 00:35:54,160 Speaker 1: or you know, organizations that organized people have been so 562 00:35:54,440 --> 00:35:58,279 Speaker 1: just knee captain America that like there's not I don't. 563 00:35:58,320 --> 00:36:00,880 Speaker 1: I don't know like how a planned out thing happens. 564 00:36:00,960 --> 00:36:03,560 Speaker 1: I think it's going to have to be people reach 565 00:36:03,600 --> 00:36:07,000 Speaker 1: a breaking point and like come together. But I don't know, man, 566 00:36:07,040 --> 00:36:10,360 Speaker 1: that the Supreme Court is just so far to the 567 00:36:10,520 --> 00:36:13,480 Speaker 1: right that I don't know, like what, Like I guess 568 00:36:13,520 --> 00:36:17,480 Speaker 1: there's also generational stuff happening where like now even young 569 00:36:17,600 --> 00:36:22,800 Speaker 1: Republicans or socialists, so like, eventually, maybe once these this 570 00:36:22,880 --> 00:36:25,040 Speaker 1: is the second time I've been like, once these baby 571 00:36:25,040 --> 00:36:28,200 Speaker 1: boomers mercifully die off in the past week. But you 572 00:36:28,200 --> 00:36:31,279 Speaker 1: know once they once they go away, maybe things will 573 00:36:31,320 --> 00:36:35,520 Speaker 1: start to I don't know, resemble move moving a different direction. 574 00:36:35,680 --> 00:36:38,560 Speaker 1: I mean, you know, like we're literally talking about child 575 00:36:38,600 --> 00:36:44,120 Speaker 1: slavery here, and we're literally talking about not giving people 576 00:36:44,440 --> 00:36:49,560 Speaker 1: their rights to care about themselves. Like this is what 577 00:36:49,600 --> 00:36:52,240 Speaker 1: we're talking in. The Supreme Court is ruling against these things, 578 00:36:52,800 --> 00:36:55,000 Speaker 1: and it's just like it's two thousand twenty one, and 579 00:36:56,040 --> 00:36:59,200 Speaker 1: you would think the better part of us as a 580 00:36:59,280 --> 00:37:02,319 Speaker 1: humanity would realize, even if you're a Republican or a 581 00:37:02,320 --> 00:37:07,279 Speaker 1: Democrat or liberal or conservative whatever it is, that like 582 00:37:08,360 --> 00:37:12,799 Speaker 1: children shouldn't be children shouldn't be slaves, they shouldn't be 583 00:37:12,840 --> 00:37:15,680 Speaker 1: working under bad conditions, they shouldn't be working at all, 584 00:37:16,320 --> 00:37:19,319 Speaker 1: you know, and for a party that cares so much 585 00:37:19,320 --> 00:37:22,399 Speaker 1: about life and pro life and all these things, it's, 586 00:37:22,600 --> 00:37:25,200 Speaker 1: you know, it's it's so cliche, but it's so true 587 00:37:25,719 --> 00:37:28,600 Speaker 1: that they care about you know, life up until they 588 00:37:28,640 --> 00:37:31,800 Speaker 1: pop out of their moms and you know, in terms 589 00:37:31,800 --> 00:37:34,960 Speaker 1: of the real world, and it's like a two fingers motherfucker, Like, 590 00:37:36,560 --> 00:37:40,840 Speaker 1: you know, it's so wild, it's so wild. I don't, yeah, 591 00:37:41,200 --> 00:37:44,759 Speaker 1: I mean, so the child slavery thing, like is the 592 00:37:45,400 --> 00:37:47,759 Speaker 1: thing that it's taken away is the ability for them 593 00:37:47,800 --> 00:37:53,759 Speaker 1: to sue corporations. Incorporations are inherently like designed to be 594 00:37:54,440 --> 00:37:58,480 Speaker 1: institutions that create value for their shareholders. So it is 595 00:37:59,040 --> 00:38:03,440 Speaker 1: their job to use whatever the cheapest form of like 596 00:38:03,520 --> 00:38:08,000 Speaker 1: the system is designed to take advantage of child slavery 597 00:38:08,120 --> 00:38:11,000 Speaker 1: and foreign markets. And then just to like give a 598 00:38:11,040 --> 00:38:14,800 Speaker 1: little more detail on the unionizing thing, Like what unions 599 00:38:14,800 --> 00:38:17,960 Speaker 1: were able to do was come to farms to like 600 00:38:18,200 --> 00:38:20,759 Speaker 1: organize people because that was the only place that you 601 00:38:20,800 --> 00:38:25,480 Speaker 1: could actually reach workers, because these corporations would bust people 602 00:38:25,520 --> 00:38:30,200 Speaker 1: in from off location and you couldn't like reach them 603 00:38:30,200 --> 00:38:32,640 Speaker 1: through the newspaper. A lot of times because maybe they 604 00:38:32,640 --> 00:38:37,280 Speaker 1: didn't speak English, you know, all sorts of institutional reasons 605 00:38:37,320 --> 00:38:40,600 Speaker 1: that they were hard to organize, so you needed to 606 00:38:40,600 --> 00:38:44,160 Speaker 1: be able to come onto the farms to actually reach 607 00:38:44,320 --> 00:38:47,080 Speaker 1: the workers and tell them what their rights were. And 608 00:38:47,120 --> 00:38:50,880 Speaker 1: this is going to make it so that corporations once again, 609 00:38:50,920 --> 00:38:54,600 Speaker 1: like they just no longer need to allow that to happen. 610 00:38:54,719 --> 00:38:59,360 Speaker 1: So it once again becomes like their duty as like 611 00:38:59,520 --> 00:39:04,279 Speaker 1: shareholder value creators to just fucking treat people like ship 612 00:39:04,600 --> 00:39:07,319 Speaker 1: Like that is the bottom line of what of what 613 00:39:07,440 --> 00:39:10,640 Speaker 1: these rulings mean. The language of law, you know how 614 00:39:10,640 --> 00:39:14,239 Speaker 1: like like legally's for lack of a better term, I 615 00:39:14,280 --> 00:39:17,960 Speaker 1: feel like the language of the law here in in 616 00:39:18,000 --> 00:39:21,000 Speaker 1: the United States does a lot to distance you from 617 00:39:21,040 --> 00:39:25,320 Speaker 1: the human reality of things. Like it is as simple 618 00:39:25,360 --> 00:39:28,960 Speaker 1: as your your saying, jo Keys that it's it's child slavery, 619 00:39:29,400 --> 00:39:32,839 Speaker 1: it's child slavery. What kind of decision are you going 620 00:39:32,880 --> 00:39:36,480 Speaker 1: to make a decision that perpetuates child slavery? But then 621 00:39:36,520 --> 00:39:40,360 Speaker 1: when you get into a long days long legal argument 622 00:39:40,440 --> 00:39:43,160 Speaker 1: with the that's sort of you know, the language of 623 00:39:44,360 --> 00:39:46,160 Speaker 1: you know, I can't even speak it because I'm just 624 00:39:46,280 --> 00:39:50,440 Speaker 1: a dumb comedian, but like it's all of that high salutint, 625 00:39:50,719 --> 00:39:55,319 Speaker 1: you know, dispassionate, non humanitarian language goes a long way 626 00:39:55,360 --> 00:39:57,439 Speaker 1: to going like, well, of course we should give more 627 00:39:57,600 --> 00:40:01,880 Speaker 1: rights to two corporations because you know, their corporations are 628 00:40:01,880 --> 00:40:04,320 Speaker 1: bigger than us, so they deserve better rights or whatever 629 00:40:04,360 --> 00:40:06,600 Speaker 1: the fun is going on in their head. It's just 630 00:40:06,800 --> 00:40:12,279 Speaker 1: it's it's so anti social, it's so anti social. Yeah, 631 00:40:12,800 --> 00:40:15,239 Speaker 1: if you made it, like whatever the fucking logic is 632 00:40:15,280 --> 00:40:17,239 Speaker 1: the Supreme Court is using. If you made it so 633 00:40:17,320 --> 00:40:20,560 Speaker 1: that these people could come back and sue a company 634 00:40:20,640 --> 00:40:24,839 Speaker 1: after they profited off of like treating them or you know, 635 00:40:25,080 --> 00:40:28,520 Speaker 1: using their slave labor, then the corporation is going to 636 00:40:28,640 --> 00:40:30,799 Speaker 1: spend a shipload of money to make sure that ship 637 00:40:30,800 --> 00:40:33,759 Speaker 1: doesn't happen anymore. And now instead they're going to spend 638 00:40:33,760 --> 00:40:36,800 Speaker 1: a shipload of money just ignoring that problem. So instead 639 00:40:36,800 --> 00:40:40,239 Speaker 1: of using like American capitalism for good, we've just sort 640 00:40:40,239 --> 00:40:43,000 Speaker 1: of passed the book. All right, let's take a quick 641 00:40:43,040 --> 00:40:46,960 Speaker 1: break and we'll come back and talk Nielsen ratings. Oh yes, sir, 642 00:40:57,560 --> 00:41:01,600 Speaker 1: and we're back and all right, So, like we've talked 643 00:41:01,640 --> 00:41:04,239 Speaker 1: a lot about streaming stuff throughout the history of this show, 644 00:41:04,239 --> 00:41:07,319 Speaker 1: and it's mostly been based on you know, people trying 645 00:41:07,360 --> 00:41:09,480 Speaker 1: to read the tea leaves, based on like what's trending 646 00:41:09,480 --> 00:41:12,160 Speaker 1: on Netflix, what's trending on Prime, like all all these 647 00:41:12,239 --> 00:41:15,759 Speaker 1: various things. And then there were some services that like 648 00:41:15,880 --> 00:41:21,799 Speaker 1: took people's internal numbers. And also Nielsen did have a 649 00:41:21,800 --> 00:41:26,960 Speaker 1: a measurement service that used the audio from TVs, like 650 00:41:27,120 --> 00:41:31,960 Speaker 1: audio tracking devices on TVs to like read what, like 651 00:41:32,000 --> 00:41:35,120 Speaker 1: what the ratings were for streaming content. But it was 652 00:41:35,160 --> 00:41:38,520 Speaker 1: all like very round about and not very good. So 653 00:41:39,440 --> 00:41:42,560 Speaker 1: this is this is like me introducing the fact that 654 00:41:42,600 --> 00:41:46,480 Speaker 1: I think I'll definitely be talking more about Nielsen ratings 655 00:41:46,520 --> 00:41:49,080 Speaker 1: just because I'm you know, I think it's the show's 656 00:41:49,120 --> 00:41:51,880 Speaker 1: duty to like figure out what people are watching and 657 00:41:51,960 --> 00:41:54,480 Speaker 1: what people are thinking about. That's like what the what 658 00:41:54,560 --> 00:41:57,200 Speaker 1: the zygeist is? Can I can I go all for 659 00:41:57,280 --> 00:42:02,440 Speaker 1: a minute? Yes? Please? It is insane to me that 660 00:42:02,480 --> 00:42:05,560 Speaker 1: in the year of our Lord two thousand and twenty one, 661 00:42:06,800 --> 00:42:13,640 Speaker 1: that we still like networks still base a show's survival 662 00:42:14,200 --> 00:42:19,440 Speaker 1: off of people sitting down and watching ship live. People 663 00:42:19,600 --> 00:42:23,840 Speaker 1: have not been watching things live since like two thousand 664 00:42:23,880 --> 00:42:27,560 Speaker 1: and nine. That trend has been going downward on a 665 00:42:27,680 --> 00:42:31,279 Speaker 1: consistent basis. Now I'm not saying people don't watch things live. 666 00:42:31,360 --> 00:42:33,560 Speaker 1: I know there are still a huge contingency of people 667 00:42:33,560 --> 00:42:36,400 Speaker 1: in Middle America and not on the coast, or older 668 00:42:36,440 --> 00:42:39,120 Speaker 1: people who still sit down watch their movies like it's 669 00:42:39,160 --> 00:42:41,480 Speaker 1: nineteen eight or watch the TV shows like it's nineteen 670 00:42:41,520 --> 00:42:45,160 Speaker 1: eighty three, commercials and all, but you know, most of 671 00:42:45,239 --> 00:42:48,920 Speaker 1: us don't. And I'm thinking of a show like Manifest. 672 00:42:49,120 --> 00:42:50,640 Speaker 1: I don't know if any of this that gang is 673 00:42:50,719 --> 00:42:54,359 Speaker 1: Manifest fans, but I was NBC with stands for Nothing 674 00:42:54,400 --> 00:42:58,960 Speaker 1: but cancelations just canceled their show. Canceled that show that 675 00:42:59,200 --> 00:43:03,360 Speaker 1: just released a Netflix and said at number one in 676 00:43:03,400 --> 00:43:07,600 Speaker 1: the entire fucking country as the most watch on Netflix 677 00:43:07,640 --> 00:43:10,520 Speaker 1: for a week and a half, and NBC canceled it, 678 00:43:10,880 --> 00:43:13,759 Speaker 1: and they canceled it while it was at number one, 679 00:43:13,920 --> 00:43:16,640 Speaker 1: while it was a number one, And I'm just like, 680 00:43:17,520 --> 00:43:21,840 Speaker 1: I don't understand how people how some of these networks 681 00:43:21,840 --> 00:43:24,120 Speaker 1: don't And I get it. I get it, don't come 682 00:43:24,160 --> 00:43:25,960 Speaker 1: in my d ms like I don't understand it. I'm 683 00:43:26,000 --> 00:43:29,920 Speaker 1: in entertainment. I understand better than the Gang. I get it, 684 00:43:30,239 --> 00:43:32,920 Speaker 1: but like I get his advertising, I fucking get it. 685 00:43:33,280 --> 00:43:37,680 Speaker 1: But I still don't understand how we can say a 686 00:43:37,800 --> 00:43:41,799 Speaker 1: show is not popular when two point one million watch 687 00:43:41,840 --> 00:43:44,759 Speaker 1: it on TV and then fifteen million and watch it 688 00:43:44,800 --> 00:43:47,920 Speaker 1: on Netflix or Hulu, that show is fucking popular as hell. 689 00:43:48,000 --> 00:43:52,600 Speaker 1: Like it infuriates me. So I'm so happy that Nielsen 690 00:43:53,000 --> 00:43:55,800 Speaker 1: has finally woken up from their long dirt nap that 691 00:43:55,880 --> 00:44:01,920 Speaker 1: they've been speaking and I decided to incorporate streaming into 692 00:44:01,960 --> 00:44:07,040 Speaker 1: their goddamn numbers. Insane. I mean, I've always been shocked 693 00:44:07,040 --> 00:44:13,520 Speaker 1: at how just asked backwards and like retrograde the TV 694 00:44:13,680 --> 00:44:17,120 Speaker 1: rating systems were like for a long time. So let's 695 00:44:17,200 --> 00:44:19,480 Speaker 1: let's just do a quick history of Nielsen ratings. So 696 00:44:20,080 --> 00:44:23,680 Speaker 1: Nielsen actually began as a company in nineteen twenty three 697 00:44:23,800 --> 00:44:28,680 Speaker 1: measuring the quote quality of conveyor belts and turbine generators 698 00:44:29,280 --> 00:44:32,839 Speaker 1: the television of its day. Yes exactly. I wish sat 699 00:44:32,880 --> 00:44:38,400 Speaker 1: around and watched turbines and only ten million people watching 700 00:44:38,400 --> 00:44:43,520 Speaker 1: those turbines. Cancel it. Then in nineteen fifty they started 701 00:44:43,560 --> 00:44:47,239 Speaker 1: measuring TV audiences, and at first they were just doing 702 00:44:47,280 --> 00:44:50,359 Speaker 1: it with paper diaries that had to be filled out 703 00:44:50,400 --> 00:44:53,920 Speaker 1: by families, and this was super biased because it was 704 00:44:53,960 --> 00:44:56,760 Speaker 1: often just like the mom would do it. They didn't 705 00:44:56,840 --> 00:45:01,239 Speaker 1: start like doing an electronic people meter until the eighties, 706 00:45:01,560 --> 00:45:04,920 Speaker 1: So for thirty years, TV ratings were purely based on 707 00:45:05,040 --> 00:45:09,439 Speaker 1: like mail in like response from people being like, yeah, 708 00:45:10,040 --> 00:45:12,800 Speaker 1: well here's what we watched. And then in the eighties 709 00:45:12,840 --> 00:45:14,960 Speaker 1: it was like still I think partially based on that. 710 00:45:15,040 --> 00:45:18,319 Speaker 1: It was like wild and no matter what, like from 711 00:45:18,320 --> 00:45:22,440 Speaker 1: the start, Nielsen has been based on like a small 712 00:45:22,600 --> 00:45:28,239 Speaker 1: number of people's responses to those queries like those mail 713 00:45:28,280 --> 00:45:31,040 Speaker 1: in things or you know, if they are one of 714 00:45:31,040 --> 00:45:33,799 Speaker 1: the families with a Nielsen box, but it's still like 715 00:45:33,880 --> 00:45:38,080 Speaker 1: a very small portion and they're just then extrapolating based 716 00:45:38,080 --> 00:45:41,480 Speaker 1: on those families like to say, well, that must mean 717 00:45:41,560 --> 00:45:46,160 Speaker 1: that like this number of people were watching TV. Like 718 00:45:46,200 --> 00:45:49,680 Speaker 1: if a hundred thousand people are in this Nielsen like 719 00:45:49,800 --> 00:45:53,720 Speaker 1: survey for a show and and and like twenty thousand 720 00:45:53,800 --> 00:45:57,440 Speaker 1: people watched the show, then they'll just up convert that 721 00:45:57,520 --> 00:46:00,000 Speaker 1: number two. Well, this must mean two point one million 722 00:46:00,040 --> 00:46:06,200 Speaker 1: and people watch this Shelton and like that that sounds stupid, 723 00:46:07,920 --> 00:46:10,840 Speaker 1: it's and that's been what it is from the start, 724 00:46:11,360 --> 00:46:15,960 Speaker 1: from the start, the very beginning, so recently like as 725 00:46:16,040 --> 00:46:19,440 Speaker 1: are as recent as like earlier this year, Nielsen was 726 00:46:19,560 --> 00:46:24,680 Speaker 1: kind of feuding with streaming networks for undercounting viewership because 727 00:46:25,160 --> 00:46:29,880 Speaker 1: during the pandemic, they weren't sending feeling field agents to 728 00:46:30,040 --> 00:46:33,359 Speaker 1: check on the boxes. Like that's the level of like 729 00:46:33,440 --> 00:46:37,279 Speaker 1: antiquated it is, is that they had people like your 730 00:46:37,400 --> 00:46:39,960 Speaker 1: local Nielsen delivery guy who would like come up and 731 00:46:40,000 --> 00:46:42,040 Speaker 1: like check the back of your box like it was 732 00:46:42,080 --> 00:46:44,880 Speaker 1: a fucking gas meter. And then like that's how you 733 00:46:44,920 --> 00:46:47,400 Speaker 1: would know like what people are watching. And so because 734 00:46:47,440 --> 00:46:50,160 Speaker 1: they weren't sending people out, Nielsen was just like people 735 00:46:50,239 --> 00:46:53,240 Speaker 1: must stop be watching TV. I don't know how happened, 736 00:46:53,880 --> 00:46:57,839 Speaker 1: and like, I mean, listen, I'm not a liar, but 737 00:46:57,880 --> 00:46:59,640 Speaker 1: if one of my favorite shows was on the bubble, 738 00:46:59,680 --> 00:47:01,759 Speaker 1: I'll come many me like, oh yeah, man, every house 739 00:47:01,800 --> 00:47:04,960 Speaker 1: and every house in Illinois is watching Hangling Mr Cooper today. Man, 740 00:47:05,360 --> 00:47:08,200 Speaker 1: everybody to keep that alive. Go ahead and keep take 741 00:47:08,239 --> 00:47:12,320 Speaker 1: that off the bubble, like you can't. It is. It's so, 742 00:47:12,520 --> 00:47:16,160 Speaker 1: it's so, it's funny. It's funny. It is so. Finally, 743 00:47:16,840 --> 00:47:20,840 Speaker 1: they recently announced their new method to measure streaming numbers. 744 00:47:21,040 --> 00:47:25,800 Speaker 1: And this is why I'm very excited, is because this method, 745 00:47:25,880 --> 00:47:29,280 Speaker 1: at least just at the very like you know, idea phase, 746 00:47:29,880 --> 00:47:33,400 Speaker 1: actually makes sense. Like, so before the only way that 747 00:47:33,440 --> 00:47:35,799 Speaker 1: they were you they were figuring out what people were 748 00:47:35,800 --> 00:47:40,440 Speaker 1: streaming was using audio recognition software in the Nielsen boxes. 749 00:47:40,760 --> 00:47:44,120 Speaker 1: So it's only capturing like what was being watched on 750 00:47:44,160 --> 00:47:46,640 Speaker 1: TV and Netflix, who like, actually most of our ships 751 00:47:46,760 --> 00:47:50,360 Speaker 1: watched on like laptops and phones, So what are you 752 00:47:50,360 --> 00:47:54,000 Speaker 1: talking about? Anyways, This thing called the gauge actually measures 753 00:47:54,120 --> 00:47:57,520 Speaker 1: Internet traffic through the router, so as long as you're 754 00:47:57,520 --> 00:48:02,040 Speaker 1: watching a show on WiFi, it will capture that. And 755 00:48:02,400 --> 00:48:04,799 Speaker 1: you know, there are are some big flaws with the tech, 756 00:48:05,080 --> 00:48:09,840 Speaker 1: namely that it's still only measures TVs, which is insane, 757 00:48:10,080 --> 00:48:13,560 Speaker 1: but they're at least like starting to capture like what 758 00:48:13,680 --> 00:48:16,560 Speaker 1: people are watching, and it's like five weeks of data. 759 00:48:16,680 --> 00:48:19,080 Speaker 1: But the five weeks of data is still pretty interesting, 760 00:48:19,440 --> 00:48:23,719 Speaker 1: like Handmaid's Tales very popular, you guys, how how how 761 00:48:24,200 --> 00:48:28,120 Speaker 1: I think that this is going to spell a disaster 762 00:48:28,400 --> 00:48:32,759 Speaker 1: for Netflix, especially who's been who just keeps their numbers 763 00:48:32,800 --> 00:48:36,680 Speaker 1: to themselves and has been very like private about their 764 00:48:36,840 --> 00:48:40,680 Speaker 1: like viewership numbers. I don't it kind of reminds It 765 00:48:40,719 --> 00:48:43,839 Speaker 1: reminds me of the the Facebook thing that was going 766 00:48:43,920 --> 00:48:46,920 Speaker 1: on when like, you know, digital video was such a 767 00:48:47,040 --> 00:48:52,040 Speaker 1: huge thing, and people were making all the advertising deals 768 00:48:52,040 --> 00:48:55,040 Speaker 1: that were going on for digital video because Facebook would 769 00:48:55,040 --> 00:48:58,359 Speaker 1: report certain numbers for for certain things, but those were 770 00:48:58,400 --> 00:49:02,359 Speaker 1: all either inflated it or improperly recorded or something like that. 771 00:49:02,480 --> 00:49:04,680 Speaker 1: And it just led to a huge crash of the 772 00:49:04,880 --> 00:49:08,440 Speaker 1: you know, like online video world and that just completely 773 00:49:08,440 --> 00:49:11,680 Speaker 1: like went away overnight. And it feels like this could 774 00:49:11,680 --> 00:49:16,560 Speaker 1: happen if Netflix is as like, has been cag about 775 00:49:16,560 --> 00:49:20,120 Speaker 1: certain things, you know, for more than more than they 776 00:49:20,200 --> 00:49:22,960 Speaker 1: might let on. I was also surprised in the article 777 00:49:23,120 --> 00:49:25,560 Speaker 1: that you guys pulled that Disney Plus only has one 778 00:49:25,640 --> 00:49:30,520 Speaker 1: percent of the streaming share. Interesting Disney Plus is low 779 00:49:30,760 --> 00:49:35,560 Speaker 1: espl Max is apparently really low, like Mayor of East Town, 780 00:49:35,640 --> 00:49:38,120 Speaker 1: like never broke into the top ten even though it 781 00:49:38,200 --> 00:49:42,120 Speaker 1: was like a you know, massively buzzy show that everybody 782 00:49:42,200 --> 00:49:46,920 Speaker 1: was talking about. I think that's more indication to you know, 783 00:49:47,600 --> 00:49:51,759 Speaker 1: was popular on that on on Twitter, is not necessarily 784 00:49:51,760 --> 00:49:54,359 Speaker 1: indicative it was popular in the world. And you know, 785 00:49:54,880 --> 00:49:59,160 Speaker 1: one day we'll get that and every facet of life, politics, sports, everything, 786 00:49:59,400 --> 00:50:02,720 Speaker 1: you know, that's another conversation for another day. To answer 787 00:50:02,719 --> 00:50:05,560 Speaker 1: your question, Adam, I don't think Netflix cares. Let me 788 00:50:05,600 --> 00:50:10,920 Speaker 1: put on my tinfoil hat real quick. Netflix is like 789 00:50:11,000 --> 00:50:13,719 Speaker 1: everybody's like, oh, is Netflix worried because people are pulling 790 00:50:13,760 --> 00:50:16,360 Speaker 1: their content and putting it on their own streaming service, 791 00:50:16,640 --> 00:50:18,960 Speaker 1: which is funny to me because Netflix is the model 792 00:50:19,000 --> 00:50:22,040 Speaker 1: for that, which is why people you know, Edgar, former 793 00:50:22,120 --> 00:50:25,400 Speaker 1: co host of Culture Kings, says something to me that 794 00:50:25,560 --> 00:50:28,880 Speaker 1: always stuck with me about Netflix. And it's like, Adam, 795 00:50:28,920 --> 00:50:31,600 Speaker 1: if you gave me your dog to walk every day 796 00:50:31,680 --> 00:50:34,680 Speaker 1: because you didn't feel like walking it, and I walked it, 797 00:50:34,800 --> 00:50:36,920 Speaker 1: and and in the process of me walking your dog, 798 00:50:37,400 --> 00:50:40,919 Speaker 1: I I started to realize that people like really liked 799 00:50:40,920 --> 00:50:43,880 Speaker 1: your dog and like your dogs start doing tricks, and 800 00:50:43,920 --> 00:50:45,839 Speaker 1: I let your dog do tricks, and I would get 801 00:50:45,880 --> 00:50:48,040 Speaker 1: paid money for your dog doing tricks. So I would 802 00:50:48,040 --> 00:50:50,279 Speaker 1: take your dog on a walk every day, have him 803 00:50:50,320 --> 00:50:53,239 Speaker 1: do tricks, pocket the money, and you realize, like, hold on, 804 00:50:53,320 --> 00:50:55,040 Speaker 1: my fucker, give me my dog back. I want to 805 00:50:55,080 --> 00:50:58,440 Speaker 1: make money too. Like that's what That's what's happening with 806 00:50:58,520 --> 00:51:00,879 Speaker 1: like a lot of these streaming service is like they 807 00:51:00,880 --> 00:51:03,200 Speaker 1: have realized what Netflix had. It was like, all right, 808 00:51:03,239 --> 00:51:06,240 Speaker 1: let's do it. Netflix doesn't care about it anymore. Netflix 809 00:51:06,320 --> 00:51:09,040 Speaker 1: is trying to become a production company, which they very 810 00:51:09,120 --> 00:51:13,560 Speaker 1: much are already, and they are a production company that 811 00:51:15,040 --> 00:51:18,839 Speaker 1: is very unique in the way that all of their 812 00:51:18,880 --> 00:51:21,399 Speaker 1: stuff that they produced, their movies and things like that, 813 00:51:21,880 --> 00:51:25,920 Speaker 1: it's all regulated to just Netflix, so all the numbers 814 00:51:26,000 --> 00:51:28,120 Speaker 1: and everything that they have, which is why they don't 815 00:51:28,120 --> 00:51:30,560 Speaker 1: care about people sharing passwords. That's why they don't care 816 00:51:30,600 --> 00:51:33,719 Speaker 1: about It's not about they are building their cash at 817 00:51:33,880 --> 00:51:37,320 Speaker 1: up to be the next Paramount, to be the next Universal, 818 00:51:37,400 --> 00:51:40,200 Speaker 1: to be the next Warner Brothers, and I think all 819 00:51:40,200 --> 00:51:43,400 Speaker 1: the other ship they just don't care about because you know, 820 00:51:43,719 --> 00:51:46,799 Speaker 1: as long as people are subscribing, it's all good. When 821 00:51:46,840 --> 00:51:50,200 Speaker 1: you look at the actual numbers and like the top ten, 822 00:51:50,400 --> 00:51:54,120 Speaker 1: it seems like when there's a hit show or a 823 00:51:54,200 --> 00:51:58,359 Speaker 1: hit movie, like Coming to America Too was actually a 824 00:51:58,360 --> 00:52:00,680 Speaker 1: massive hit. Borat was a massive hit for like a 825 00:52:00,719 --> 00:52:04,240 Speaker 1: couple of weeks, and The Handmaid's Tale, like these shows 826 00:52:04,400 --> 00:52:08,040 Speaker 1: are big hits that like pop up and like we'll 827 00:52:08,120 --> 00:52:11,279 Speaker 1: hit number one for a couple of weeks, but everything else, 828 00:52:11,400 --> 00:52:15,760 Speaker 1: like Netflix is the default all the Like Who Killed 829 00:52:15,880 --> 00:52:18,560 Speaker 1: Sarah was like this show that had been out for 830 00:52:18,600 --> 00:52:21,359 Speaker 1: like six weeks that was at number two the week 831 00:52:21,440 --> 00:52:26,440 Speaker 1: that the Handmade's Tale, uh, premiered like Jupiter's Legacy, right, 832 00:52:26,680 --> 00:52:29,839 Speaker 1: Jupiter's Legacy was a show that they canceled after like 833 00:52:30,280 --> 00:52:34,520 Speaker 1: three weeks that was at number three. Like there they are. 834 00:52:35,400 --> 00:52:39,000 Speaker 1: I think these numbers have revealed that actually Netflix like 835 00:52:39,120 --> 00:52:43,160 Speaker 1: has a huge market share and then like other companies 836 00:52:43,280 --> 00:52:46,680 Speaker 1: are kind of playing for second and it's just like 837 00:52:46,719 --> 00:52:51,040 Speaker 1: a week tweak thing. But like for instance, at a loss, 838 00:52:51,880 --> 00:52:56,240 Speaker 1: I think, so yeah, yeah, I mean they're debt spending 839 00:52:56,320 --> 00:53:00,359 Speaker 1: like crazy, like they and then every every year they 840 00:53:00,400 --> 00:53:04,239 Speaker 1: always promote like, here's the more here's a new most 841 00:53:04,280 --> 00:53:07,759 Speaker 1: expensive show ever made. It was Altered Carbon And I 842 00:53:07,800 --> 00:53:10,480 Speaker 1: think they're doing the same kind of marketing thing with 843 00:53:10,600 --> 00:53:15,279 Speaker 1: the upcoming Cowboy Bebop live action remake. That's, you know, 844 00:53:15,440 --> 00:53:19,080 Speaker 1: the most expensive television show ever made. And it's like, well, 845 00:53:19,080 --> 00:53:23,840 Speaker 1: how are you doing that? Right? Yeah? Netflix is pretty 846 00:53:23,920 --> 00:53:28,080 Speaker 1: much the fanels of the stream, like they d game. 847 00:53:28,360 --> 00:53:31,040 Speaker 1: It's the long game, you know, it's the long game 848 00:53:31,120 --> 00:53:34,840 Speaker 1: that's automatters. And then once they finally succeed, you know, 849 00:53:34,920 --> 00:53:37,920 Speaker 1: once they blip half of the stream and services off 850 00:53:37,920 --> 00:53:40,720 Speaker 1: the map, then they'll just sit down in the field 851 00:53:40,760 --> 00:53:43,600 Speaker 1: and look out into the to the grass and the 852 00:53:43,680 --> 00:53:46,080 Speaker 1: sun and smile and then the movie you'll end like 853 00:53:46,160 --> 00:53:50,080 Speaker 1: they are that is Netflix, like they they will operate 854 00:53:50,120 --> 00:53:53,960 Speaker 1: at a loss. They'll spend all the money like they're 855 00:53:53,960 --> 00:53:56,399 Speaker 1: looking at the long game, and you know what, funk 856 00:53:56,440 --> 00:54:00,719 Speaker 1: with it? I've with it. The way they get TV 857 00:54:00,800 --> 00:54:06,360 Speaker 1: show to disappear is by you know, the Paramount Plus 858 00:54:06,440 --> 00:54:09,640 Speaker 1: taking it and like making people watch it on Paramount Plus. 859 00:54:09,680 --> 00:54:12,760 Speaker 1: That's like okay, and nobody watches that anymore. Yeah, nobody 860 00:54:13,040 --> 00:54:20,439 Speaker 1: like like, well, I guess I'm done watching the Office. Yeah. 861 00:54:20,480 --> 00:54:22,200 Speaker 1: That really seems to be the way it is. So 862 00:54:22,360 --> 00:54:25,120 Speaker 1: just like some surprise things. So I always talked about 863 00:54:25,120 --> 00:54:28,280 Speaker 1: how Amazon Prime, like there's all these like good shows 864 00:54:28,719 --> 00:54:31,840 Speaker 1: that are being hidden on Amazon Prime. Amazon Prime is 865 00:54:31,880 --> 00:54:36,960 Speaker 1: the University of Kentucky basketball team of streaming services, and 866 00:54:37,040 --> 00:54:40,359 Speaker 1: that like these amazing talents are just there and like 867 00:54:40,520 --> 00:54:43,520 Speaker 1: don't even play because John Calipari is a shitty coach. 868 00:54:43,880 --> 00:54:46,960 Speaker 1: And so I I talked about like Patriot is a 869 00:54:47,000 --> 00:54:49,520 Speaker 1: big show that like I've watched. I know a lot 870 00:54:49,520 --> 00:54:53,000 Speaker 1: of people have watched and liked, and like nobody really 871 00:54:53,480 --> 00:54:56,759 Speaker 1: has seen it, like barely has some Wikipedia page. So 872 00:54:56,840 --> 00:55:01,120 Speaker 1: the Underground Railroad which is Barry Jenkins is new kind 873 00:55:01,160 --> 00:55:05,080 Speaker 1: of anthology or not anthology series, it's a series is 874 00:55:06,040 --> 00:55:08,480 Speaker 1: actually breaking into the top tent. So like that's just 875 00:55:08,840 --> 00:55:11,880 Speaker 1: super impressive, and I think, you know, people should should 876 00:55:11,880 --> 00:55:16,120 Speaker 1: be watching that, and I'm gonna watch it for Jack 877 00:55:16,239 --> 00:55:18,240 Speaker 1: Streaming Corner and I'll talk about it on the show. 878 00:55:18,320 --> 00:55:21,240 Speaker 1: But that's just kind of impressive that it even made 879 00:55:21,239 --> 00:55:26,080 Speaker 1: it that far. The other thing you're noticing is like 880 00:55:26,120 --> 00:55:29,800 Speaker 1: just how much of an advantage TV shows have because 881 00:55:29,840 --> 00:55:33,680 Speaker 1: the way that they measure everything is in minutes, and 882 00:55:33,760 --> 00:55:38,879 Speaker 1: so like a movie will occasionally go to number one, 883 00:55:38,920 --> 00:55:41,240 Speaker 1: like I was saying with Coming to America, to the 884 00:55:41,280 --> 00:55:44,719 Speaker 1: most recent weeks that we have data for Zack Snyder's 885 00:55:44,800 --> 00:55:49,040 Speaker 1: Army of the Dead has like performed extremely well, but 886 00:55:49,160 --> 00:55:51,880 Speaker 1: then like eventually they'll fade away. So like that makes 887 00:55:51,920 --> 00:55:55,759 Speaker 1: sense of like the direction that content creation has gone, 888 00:55:55,760 --> 00:55:57,560 Speaker 1: and like the amount of money that they put into 889 00:55:58,200 --> 00:56:01,680 Speaker 1: Cowboy Bebop and you altered carbon and ship like that, 890 00:56:01,760 --> 00:56:05,080 Speaker 1: because you know, the more minutes you have, the better. 891 00:56:05,320 --> 00:56:09,320 Speaker 1: But I do also think that that like we shouldn't 892 00:56:09,360 --> 00:56:13,919 Speaker 1: lose sight of the power of movies because like this 893 00:56:14,040 --> 00:56:16,920 Speaker 1: is not taking into account like how many people have 894 00:56:17,120 --> 00:56:22,239 Speaker 1: actually watched movies. Because it's like, if ten times a 895 00:56:22,320 --> 00:56:26,880 Speaker 1: number of people watch Mohanna, then watch The Handmaid's Tale, 896 00:56:27,360 --> 00:56:30,200 Speaker 1: Mohanna still won't make the top ten, and Handmaid's Tale 897 00:56:30,200 --> 00:56:34,680 Speaker 1: will be at number one based off just episodes alone. Yeah, 898 00:56:34,840 --> 00:56:38,040 Speaker 1: just the number number of minutes. Yeah. So just like 899 00:56:38,280 --> 00:56:40,120 Speaker 1: looking at the five weeks that we have so far, 900 00:56:40,280 --> 00:56:44,080 Speaker 1: Mitchell's Versus the Machines seems to be another piece of 901 00:56:44,080 --> 00:56:47,600 Speaker 1: pop culture that has been seen by enough people is 902 00:56:47,680 --> 00:56:51,840 Speaker 1: like a you know, many hundred millions of dollars sized 903 00:56:51,920 --> 00:56:53,880 Speaker 1: hit in terms of the number of people who saw it. 904 00:56:53,960 --> 00:56:55,920 Speaker 1: I don't know if you guys saw that didn't, but 905 00:56:55,960 --> 00:56:58,920 Speaker 1: I want to watch it. Yeah, it's good. It's like 906 00:56:58,960 --> 00:57:02,920 Speaker 1: a good family movie. Also, Mowanna is still Queen. She's 907 00:57:03,040 --> 00:57:06,040 Speaker 1: That movie is still in the top ten movies streamed 908 00:57:06,080 --> 00:57:10,319 Speaker 1: this week, despite the fact that it's like nothing happened. Yeah, 909 00:57:10,719 --> 00:57:14,600 Speaker 1: they didn't like release new scenes or something. It's just 910 00:57:14,760 --> 00:57:17,920 Speaker 1: been there because parents are lazy today. You know what 911 00:57:18,000 --> 00:57:20,480 Speaker 1: I'm saying. Parents, just say, kid, I don't want to 912 00:57:20,560 --> 00:57:23,280 Speaker 1: raise you. Watch Disney Plus and just watch mo Wanna 913 00:57:23,640 --> 00:57:26,040 Speaker 1: as the joke but supposed to as opposed to my 914 00:57:26,080 --> 00:57:28,800 Speaker 1: parents who let me watch Jaws a hundred times before 915 00:57:28,840 --> 00:57:33,680 Speaker 1: I was five years old. But I also want to 916 00:57:33,680 --> 00:57:37,160 Speaker 1: talk about this show that I don't know much about 917 00:57:37,960 --> 00:57:42,320 Speaker 1: that is like frequently in the top ten on these 918 00:57:42,640 --> 00:57:47,280 Speaker 1: Nielsen streaming ratings, and that is Lucifer. To Kis, I 919 00:57:47,320 --> 00:57:49,800 Speaker 1: know you are familiar with Lucifer. What can you what 920 00:57:49,880 --> 00:57:52,120 Speaker 1: can you tell us? Let me tell y'all a little 921 00:57:52,120 --> 00:57:55,440 Speaker 1: bit about Lucifer. Lucifer's dope a ship. All right, So 922 00:57:55,560 --> 00:57:58,040 Speaker 1: Lucifer was actually one of those shows that was on 923 00:57:58,120 --> 00:58:01,160 Speaker 1: Fox that guy canceled Netflix Safe, so it was a 924 00:58:01,200 --> 00:58:04,200 Speaker 1: safe show. Uh first, let me just say Lucifer is 925 00:58:04,360 --> 00:58:08,640 Speaker 1: about the devil Lucifer who comes to earth, but he's 926 00:58:08,680 --> 00:58:11,920 Speaker 1: actually a good guy. Uh, he's still an angel. So 927 00:58:11,960 --> 00:58:13,800 Speaker 1: it really is a cool show because it takes the 928 00:58:13,920 --> 00:58:19,520 Speaker 1: mythology of those of those characters, Lucifer, God, all the angels, 929 00:58:20,000 --> 00:58:23,360 Speaker 1: and really teaches you to mythology beyond just what religious 930 00:58:23,400 --> 00:58:27,440 Speaker 1: people want us to know, which is God good, Devil bad. Right, 931 00:58:27,600 --> 00:58:32,040 Speaker 1: And so it's so fun And Lucifer's a detective consultant 932 00:58:32,040 --> 00:58:34,520 Speaker 1: with the L A p. D. Which is very funny. 933 00:58:34,920 --> 00:58:37,200 Speaker 1: He's got to know where the action is, Yeah, he 934 00:58:37,200 --> 00:58:40,280 Speaker 1: helps solves crimes. He's also like, he's always fucking, he 935 00:58:40,320 --> 00:58:44,000 Speaker 1: loves drinking, he never lies. Like. It's such a fun show. 936 00:58:44,120 --> 00:58:46,800 Speaker 1: And it was really fun on Fox too. But the 937 00:58:46,880 --> 00:58:49,680 Speaker 1: thing about Fox or not Fox, but the old TV 938 00:58:49,840 --> 00:58:53,440 Speaker 1: model used to be you get twenty plus episodes in 939 00:58:53,440 --> 00:58:56,360 Speaker 1: the season, right, and when that was the case, twenty 940 00:58:56,400 --> 00:58:58,520 Speaker 1: plus episodes of an hour long show is a lot 941 00:58:58,560 --> 00:59:01,560 Speaker 1: of content. So it's a lot of filler while they're 942 00:59:01,600 --> 00:59:04,640 Speaker 1: trying to tell their overall story of the season. So 943 00:59:04,640 --> 00:59:07,960 Speaker 1: when it came to Netflix, they bumped that down to ten, thirteen, 944 00:59:08,080 --> 00:59:11,600 Speaker 1: sixteen episodes, which means they can just tell a complete story. 945 00:59:12,080 --> 00:59:15,680 Speaker 1: And the show has gotten so much better on Netflix. 946 00:59:15,760 --> 00:59:17,480 Speaker 1: And it was even but it was good on Fox. 947 00:59:17,520 --> 00:59:20,440 Speaker 1: But it's gotten so much better on Netflix because now 948 00:59:20,480 --> 00:59:22,600 Speaker 1: they can do stuff like Curse, they can show Booty, 949 00:59:22,640 --> 00:59:26,320 Speaker 1: they can like actually tell one story and tell it 950 00:59:26,440 --> 00:59:29,920 Speaker 1: very succinctly without a lot of filler. Excuse me, without 951 00:59:29,960 --> 00:59:34,800 Speaker 1: a lot of Fellers. I'm crying, crying, man, I'm crying 952 00:59:34,920 --> 00:59:37,120 Speaker 1: this season this fast season two. I washed it with 953 00:59:37,120 --> 00:59:41,200 Speaker 1: a homie of mine. Shout out Allison, who there was 954 00:59:41,280 --> 00:59:45,440 Speaker 1: moments we like cried tears like I cried. I cried 955 00:59:45,480 --> 00:59:49,480 Speaker 1: these thug tears, but they were still tears nonetheless, and 956 00:59:49,520 --> 00:59:51,880 Speaker 1: it was It was fucking great. It's a good show. 957 00:59:52,200 --> 00:59:56,959 Speaker 1: Dennis Haybert is God in this show, which is amazing. 958 00:59:57,720 --> 00:59:59,720 Speaker 1: It is such a fun show. If you have not 959 01:00:00,000 --> 01:00:04,320 Speaker 1: watch Lucifer, please watch it. The first three seasons are 960 01:00:04,360 --> 01:00:07,600 Speaker 1: still very good. They are long, but once you get 961 01:00:07,600 --> 01:00:11,720 Speaker 1: to season four, when it came to Netflix, the show 962 01:00:11,840 --> 01:00:13,600 Speaker 1: is gonna take off in a way that you're like, 963 01:00:13,720 --> 01:00:16,520 Speaker 1: this is one of the best shows on TV now. 964 01:00:16,600 --> 01:00:19,959 Speaker 1: So definitely check out Lucifer. It's good. It's very good. 965 01:00:20,560 --> 01:00:22,880 Speaker 1: I mean the dovit you like, can't miss with making 966 01:00:22,960 --> 01:00:27,400 Speaker 1: the devil like the protagonist of your show or epic 967 01:00:27,520 --> 01:00:30,960 Speaker 1: poem or rock song like it's there's just nothing but 968 01:00:31,040 --> 01:00:34,240 Speaker 1: classics there, and you root for him like you root form. 969 01:00:34,240 --> 01:00:35,640 Speaker 1: I don't want to give too much away in case 970 01:00:35,640 --> 01:00:38,200 Speaker 1: anybody's gonna watch it, but you root for him because 971 01:00:38,320 --> 01:00:41,600 Speaker 1: like you forget the mythology. Well I forget the mythology. 972 01:00:41,640 --> 01:00:43,640 Speaker 1: I don't know if anybody's out there devil caping on 973 01:00:43,800 --> 01:00:46,800 Speaker 1: which you are fantastic, but you forget like he's an angel, 974 01:00:47,080 --> 01:00:50,480 Speaker 1: like he's an angel, he's actually got son like, so 975 01:00:50,600 --> 01:00:54,320 Speaker 1: they really have fun with that mythology. And this show, Uh, 976 01:00:54,360 --> 01:00:57,000 Speaker 1: it's it's dope. It's a good ass show. I recommended 977 01:00:57,080 --> 01:01:01,000 Speaker 1: highly Yeah, and I'm gonna recommend Paradise Lost by John Milton. 978 01:01:01,360 --> 01:01:04,120 Speaker 1: Oh well, people can check that out also a very 979 01:01:04,160 --> 01:01:12,240 Speaker 1: good Uh, Paradise Paradise Lost. What should recommend, Adam was, 980 01:01:12,360 --> 01:01:14,200 Speaker 1: what's what's what's the show that we should be watching 981 01:01:14,200 --> 01:01:18,919 Speaker 1: that you recommend? I well, I'm nothing very current. Since 982 01:01:18,960 --> 01:01:22,360 Speaker 1: the beginning of Pandemic, I went all in on Star Trek. 983 01:01:23,320 --> 01:01:26,680 Speaker 1: I had never seen it, and then now I'm wrapping 984 01:01:26,760 --> 01:01:29,160 Speaker 1: up Deep Space nine and I don't know if you 985 01:01:29,160 --> 01:01:32,520 Speaker 1: guys have seen any Star Trek or not, but I 986 01:01:32,600 --> 01:01:34,800 Speaker 1: really end up saying it a little bit. I really 987 01:01:34,800 --> 01:01:38,439 Speaker 1: like Deep Space nine because it's like, well, the Next 988 01:01:38,480 --> 01:01:41,760 Speaker 1: Generation is very like, you know, good guys win, bad 989 01:01:41,800 --> 01:01:44,320 Speaker 1: guys die sort of thing, you know, like and you 990 01:01:44,480 --> 01:01:46,959 Speaker 1: get got kind of weird. But like Deep Space nine 991 01:01:47,040 --> 01:01:49,520 Speaker 1: is like, you know, the bad guys are sometimes good 992 01:01:49,600 --> 01:01:52,680 Speaker 1: and the good guys are sometimes bad, and you're left 993 01:01:52,720 --> 01:01:55,760 Speaker 1: often with moral ambiguity at the end, and it feels 994 01:01:55,800 --> 01:01:58,600 Speaker 1: more like a show for adults than you know a 995 01:01:58,640 --> 01:02:02,760 Speaker 1: family show. Um, and Avery Brooks is one of the 996 01:02:02,840 --> 01:02:06,360 Speaker 1: most fascinating actors I've ever seen, um, you know, on 997 01:02:06,640 --> 01:02:10,880 Speaker 1: big screen, small screen as Captain Cisco. He's got a 998 01:02:11,080 --> 01:02:15,760 Speaker 1: very strange, weird energy that is so captivating. So if 999 01:02:15,760 --> 01:02:18,439 Speaker 1: you have any familiarity but Star Trek, check out Deep 1000 01:02:18,440 --> 01:02:24,560 Speaker 1: Space nine recommendation from the nineties. And that is not 1001 01:02:24,640 --> 01:02:30,160 Speaker 1: streaming on Netflix as far as I can tell, it is. Oh, 1002 01:02:30,280 --> 01:02:33,720 Speaker 1: there you go. I don't know why the Paramount has 1003 01:02:33,800 --> 01:02:35,959 Speaker 1: let it has let all the Star Trek stuff stay 1004 01:02:36,040 --> 01:02:38,280 Speaker 1: up on streaming all around, and I think it's just 1005 01:02:38,960 --> 01:02:41,000 Speaker 1: I don't know, it's see I'm waiting for the day 1006 01:02:41,000 --> 01:02:43,600 Speaker 1: where it's just gone and and it is only on 1007 01:02:43,640 --> 01:02:49,479 Speaker 1: Paramount Plus but it and then I'm done. You're done. 1008 01:02:49,880 --> 01:02:53,840 Speaker 1: You're done. Well, Adam Jackies, it's been such a pleasure 1009 01:02:53,880 --> 01:02:56,680 Speaker 1: having both you guys on today. Adam, where can people 1010 01:02:56,840 --> 01:02:59,440 Speaker 1: find you? Follow you? Here? You all that good stuff. 1011 01:02:59,760 --> 01:03:04,080 Speaker 1: You can follow me on Twitter at Adam Bozar. You 1012 01:03:04,080 --> 01:03:07,880 Speaker 1: should listen to my my show Left Handed Radio. It's 1013 01:03:07,920 --> 01:03:10,360 Speaker 1: not that long. It's very funny. I do it with 1014 01:03:10,400 --> 01:03:13,560 Speaker 1: my partner and all things and Rubanova. Um, we've been 1015 01:03:13,600 --> 01:03:16,160 Speaker 1: doing it for about since two thousand and ten, with 1016 01:03:16,280 --> 01:03:19,440 Speaker 1: some breaks here and there. But if you guys like 1017 01:03:19,520 --> 01:03:22,439 Speaker 1: the show, I hope, I hope you like my show. Yeah, 1018 01:03:22,440 --> 01:03:25,680 Speaker 1: oh yeah, go go check it. Listen. I got respect 1019 01:03:25,720 --> 01:03:28,760 Speaker 1: for anybody that has kept their show around since two 1020 01:03:28,840 --> 01:03:31,960 Speaker 1: thousand and ten, we hit three d episodes of Culture King, 1021 01:03:32,080 --> 01:03:35,040 Speaker 1: so we was like to fingers as we done, like 1022 01:03:36,920 --> 01:03:42,280 Speaker 1: so so huge respect definitely out there. There's great there's 1023 01:03:42,320 --> 01:03:45,280 Speaker 1: like two, three, four or five year long breaks here 1024 01:03:45,280 --> 01:03:49,280 Speaker 1: and there, but yeah, we like reinvigorated it, and yeah, 1025 01:03:49,320 --> 01:03:52,160 Speaker 1: we brought it back in the pandemic and doing it weekly. 1026 01:03:52,160 --> 01:03:53,880 Speaker 1: We used to do it monthly. It was like an 1027 01:03:54,000 --> 01:03:56,200 Speaker 1: hour long it. We used to do like album length 1028 01:03:56,240 --> 01:03:59,880 Speaker 1: sketch comedy episodes once a month, and then we decided 1029 01:03:59,880 --> 01:04:02,680 Speaker 1: to start just releasing one sketch every week. And it's 1030 01:04:02,720 --> 01:04:04,320 Speaker 1: been a lot of fun and we've been trying to 1031 01:04:04,320 --> 01:04:08,240 Speaker 1: take it as weird places as we can. So love it. 1032 01:04:08,640 --> 01:04:11,360 Speaker 1: Left hand Rated dot com. Yeah yeah. And is there 1033 01:04:11,400 --> 01:04:13,720 Speaker 1: a tweet or some of the work of social media 1034 01:04:13,760 --> 01:04:18,440 Speaker 1: you've been enjoying. Oh, I just discovered to twitters that 1035 01:04:18,520 --> 01:04:21,320 Speaker 1: I really like I kind of trying to use Twitter, 1036 01:04:21,640 --> 01:04:24,480 Speaker 1: Twitter to be more entertaining instead of you know, keeping 1037 01:04:24,560 --> 01:04:29,360 Speaker 1: up with everybody's panic and anxiety breakdowns. Um to tweet 1038 01:04:29,600 --> 01:04:34,040 Speaker 1: Twitter accounts. I've I've just discovered one is um Petfinder names. 1039 01:04:34,600 --> 01:04:37,600 Speaker 1: Petfinder names, so all these like I don't know if 1040 01:04:37,600 --> 01:04:40,640 Speaker 1: you guys have ever been on pet Finder, but animals 1041 01:04:40,640 --> 01:04:43,960 Speaker 1: shelters and and and rescue places, they like to give 1042 01:04:44,200 --> 01:04:46,680 Speaker 1: wacky names to the to the pets and maybe like 1043 01:04:46,840 --> 01:04:49,720 Speaker 1: rope somebody in so you can get like photos of 1044 01:04:49,720 --> 01:04:55,360 Speaker 1: a dog named Mr Worldwide. You know, it's a lot 1045 01:04:55,400 --> 01:04:57,680 Speaker 1: of fun. And then another one that I just discovered 1046 01:04:57,880 --> 01:05:03,280 Speaker 1: is called Old French c Time, which these old illustrations 1047 01:05:03,320 --> 01:05:07,240 Speaker 1: from a French newspaper in the nineteen hundreds early nineteen 1048 01:05:07,280 --> 01:05:10,680 Speaker 1: hundreds were you know, before photography. They had to draw 1049 01:05:10,880 --> 01:05:15,360 Speaker 1: like all these disasters. So yeah, there's like a like 1050 01:05:15,440 --> 01:05:18,320 Speaker 1: the guy that like made that parachute suit and jumped 1051 01:05:18,400 --> 01:05:22,920 Speaker 1: off the Eiffel Tower. He passed out his parachute suit 1052 01:05:22,960 --> 01:05:24,640 Speaker 1: and he died. Yeah, there's like a drawing of the 1053 01:05:24,680 --> 01:05:30,600 Speaker 1: man in his suit. Like, yeah, it's a lot of fun. 1054 01:05:30,880 --> 01:05:32,880 Speaker 1: It's a great way to kill an afternoon. Old French 1055 01:05:32,960 --> 01:05:37,680 Speaker 1: crime so it's them basically drawing like the crime in 1056 01:05:37,760 --> 01:05:42,320 Speaker 1: progress for the purposes of like the newspaper, Yes, and 1057 01:05:42,360 --> 01:05:45,640 Speaker 1: it all and they all look like they're being staged 1058 01:05:45,680 --> 01:05:47,920 Speaker 1: for this, for this theater. You know, they all look 1059 01:05:48,000 --> 01:05:52,880 Speaker 1: like plays. It's a big dramatic post. Where can people 1060 01:05:52,880 --> 01:05:55,520 Speaker 1: find you? What's a tweet you've been enjoying? Oh well, 1061 01:05:55,560 --> 01:05:58,240 Speaker 1: of course you can find me in the streets, and 1062 01:05:58,280 --> 01:06:00,360 Speaker 1: then if you want to find me, be on that 1063 01:06:01,000 --> 01:06:04,400 Speaker 1: at Jackie Snail on everything I got, I got. I 1064 01:06:04,440 --> 01:06:07,280 Speaker 1: got three really quick tweets, three really quick tweets. You know, 1065 01:06:07,280 --> 01:06:09,160 Speaker 1: whenever my guests I only have one, but as a 1066 01:06:09,160 --> 01:06:12,479 Speaker 1: guest host, I got three. First, this is another save 1067 01:06:12,560 --> 01:06:15,640 Speaker 1: Manifest tweet, you know, Save Manifest. It was a very 1068 01:06:15,640 --> 01:06:17,680 Speaker 1: good show and they ended it on the cliffhanger, So 1069 01:06:17,840 --> 01:06:21,800 Speaker 1: fuck u, NBC. But it comes from at Miles x 1070 01:06:21,880 --> 01:06:25,720 Speaker 1: McKay Miles with a y. He retweeted a picture that 1071 01:06:25,920 --> 01:06:29,680 Speaker 1: is thunderstorm captured at high altitude and is the wing 1072 01:06:29,760 --> 01:06:33,640 Speaker 1: of a plane with a huge ass like thunderstorm like 1073 01:06:33,720 --> 01:06:36,200 Speaker 1: and clouds in the window so you can see it 1074 01:06:36,240 --> 01:06:39,080 Speaker 1: like right outside the plane, which is how Manifest starts. 1075 01:06:39,440 --> 01:06:42,000 Speaker 1: And then he says, next thing, you know, I'm missing 1076 01:06:42,040 --> 01:06:45,600 Speaker 1: for five and a half years, so cracked me up. 1077 01:06:46,120 --> 01:06:49,760 Speaker 1: Love that another one comes. Netflix is gonna bring that 1078 01:06:49,800 --> 01:06:52,880 Speaker 1: back right like they just passed on They just passed 1079 01:06:52,880 --> 01:06:55,840 Speaker 1: on it. Yeah, I guess is it super expensive or 1080 01:06:55,880 --> 01:06:58,960 Speaker 1: something it must be or you know, they gotta save 1081 01:06:59,200 --> 01:07:02,040 Speaker 1: money in space for their show about you know, dating 1082 01:07:02,080 --> 01:07:06,920 Speaker 1: and animal costumes, so maybe that's it. I don't know. 1083 01:07:07,560 --> 01:07:13,400 Speaker 1: King of Twitter, King Josiah fifty four, The Detroit Pistons 1084 01:07:13,440 --> 01:07:16,800 Speaker 1: just got the first NBA draft pick selection, and then 1085 01:07:16,960 --> 01:07:20,040 Speaker 1: he he had a tweet that says, with the first pick, 1086 01:07:20,120 --> 01:07:23,680 Speaker 1: the Pistons select, and then Cade Cunningham, who many people 1087 01:07:23,720 --> 01:07:25,360 Speaker 1: think is going to be the first pick, and then 1088 01:07:25,360 --> 01:07:29,080 Speaker 1: he has a gift of Cade running from people chasing them, 1089 01:07:29,320 --> 01:07:33,560 Speaker 1: basically saying he doesn't want to go to the Pistons, uh, 1090 01:07:33,560 --> 01:07:35,640 Speaker 1: which you know it's true, who wants to go to Detroit? 1091 01:07:35,800 --> 01:07:37,400 Speaker 1: Sorry all my people from de trade, I love you 1092 01:07:37,440 --> 01:07:39,840 Speaker 1: Midwest forever. And then the last one is from the 1093 01:07:39,880 --> 01:07:44,040 Speaker 1: homeie Liz Adams, who is assumed mom to be there 1094 01:07:44,120 --> 01:07:48,240 Speaker 1: is a picture of a very ugly alien looking person 1095 01:07:48,280 --> 01:07:50,840 Speaker 1: that said babies will be looking like this, uh for 1096 01:07:50,920 --> 01:07:55,000 Speaker 1: their photo shoots, and then she tweeted if my baby 1097 01:07:55,040 --> 01:07:57,600 Speaker 1: comes out ugly, I will pretend like I care about 1098 01:07:57,640 --> 01:08:00,360 Speaker 1: her privacy and hide her face from the public, which 1099 01:08:00,640 --> 01:08:04,600 Speaker 1: I respect that babies be ugly. Sometimes sometimes you'll need 1100 01:08:04,640 --> 01:08:06,720 Speaker 1: to stop showing your ugly as babies to the world. 1101 01:08:06,760 --> 01:08:10,320 Speaker 1: So I'm telling you, babies are always ugly for the 1102 01:08:10,360 --> 01:08:13,760 Speaker 1: first few days. You need to give your baby a time. 1103 01:08:13,920 --> 01:08:17,120 Speaker 1: It's like a good steak or a soup fla. It 1104 01:08:17,200 --> 01:08:20,280 Speaker 1: needs to settle. Its head is not even in the 1105 01:08:20,360 --> 01:08:23,160 Speaker 1: right shape. That's not what it's gonna look like. My 1106 01:08:23,200 --> 01:08:27,760 Speaker 1: babies were all ugly for and now they're cute. They're 1107 01:08:27,800 --> 01:08:30,720 Speaker 1: so cute. Yeah, give you a baby's time before you 1108 01:08:30,960 --> 01:08:34,760 Speaker 1: introduced them to the world. YEA, treat it like you're 1109 01:08:34,920 --> 01:08:40,840 Speaker 1: a celebrity. Yes, let's see a tweet I've been enjoying. 1110 01:08:42,160 --> 01:08:45,400 Speaker 1: Jason Pargeon wrote, seeing a lot of people in disbelief 1111 01:08:45,400 --> 01:08:49,160 Speaker 1: that John McAfee could have committed suicide. This just goes 1112 01:08:49,200 --> 01:08:51,760 Speaker 1: to show that no matter how stable and well adjusted 1113 01:08:51,760 --> 01:08:54,040 Speaker 1: a person appears on the outside, they can still be 1114 01:08:54,120 --> 01:08:59,800 Speaker 1: really struggling on the inside. Uh. Anyways, you can find 1115 01:08:59,840 --> 01:09:01,920 Speaker 1: me on Twitter at Jack Underscore O'Brien. You can find 1116 01:09:02,000 --> 01:09:04,320 Speaker 1: us on Twitter at Daily Zeite Guys for at the 1117 01:09:04,479 --> 01:09:06,840 Speaker 1: Daily zeite Guys on Instagram. We have a Facebook fan 1118 01:09:06,920 --> 01:09:10,519 Speaker 1: page and a website Daily zite guys dot com where 1119 01:09:10,520 --> 01:09:15,360 Speaker 1: we post our episodes and our foot notes foot notes Hey, 1120 01:09:15,400 --> 01:09:17,120 Speaker 1: where we link off to the information that we talked 1121 01:09:17,160 --> 01:09:20,840 Speaker 1: about in today's episode, as well as a song that 1122 01:09:20,960 --> 01:09:25,040 Speaker 1: we think you might enjoy. Do you have a song 1123 01:09:25,200 --> 01:09:27,599 Speaker 1: that you think people might enjoy? A right, get one 1124 01:09:27,720 --> 01:09:30,680 Speaker 1: for y'all. And it's not gonna be Jason Raz you know, 1125 01:09:30,800 --> 01:09:35,519 Speaker 1: I know, y'all spect to net. It's from. It's from 1126 01:09:35,640 --> 01:09:42,800 Speaker 1: Jack Johnson Upside Down Everybody Nuns From. It's from an 1127 01:09:42,880 --> 01:09:46,120 Speaker 1: artist called Rex Orange County and the song is Loving 1128 01:09:46,200 --> 01:09:49,160 Speaker 1: Is Easy. Rex Orange County really dope artist makes really 1129 01:09:49,200 --> 01:09:52,080 Speaker 1: dope music and Loving is Easy. And it was my 1130 01:09:52,160 --> 01:09:54,400 Speaker 1: introduction to him and I just went on a rabbit 1131 01:09:54,479 --> 01:09:56,320 Speaker 1: hole and I was like, I like him, So yeah, 1132 01:09:56,479 --> 01:10:02,920 Speaker 1: Loving is Easy, Rex Orange County. Let's it out to that? Yeah? Yeah? Alright? Well, 1133 01:10:02,960 --> 01:10:05,080 Speaker 1: The Daily ze Guys the production of My Heart Radio 1134 01:10:05,120 --> 01:10:07,160 Speaker 1: from more podcast from my Heart Radio visit the I 1135 01:10:07,240 --> 01:10:09,479 Speaker 1: Heart Radio app, Apple podcast, or wherever you listen to 1136 01:10:09,479 --> 01:10:11,559 Speaker 1: your favorite shows. That is going to do it for us. 1137 01:10:11,560 --> 01:10:13,960 Speaker 1: This morning. We are back this afternoon to tell you 1138 01:10:14,000 --> 01:10:18,439 Speaker 1: what's trending, and we will talk to y'all then. Bye bye,