1 00:00:00,160 --> 00:00:03,120 Speaker 1: Hello the Internet, and welcome to season sixty eight, Episode five, 2 00:00:03,360 --> 00:00:06,800 Speaker 1: Judge Zeitgeist Podcast, where we take a deep dive intue 3 00:00:06,800 --> 00:00:10,200 Speaker 1: American share kind of just as this Friday, February eight, 4 00:00:10,280 --> 00:00:13,920 Speaker 1: two thousand nine, team and names Jack O'Brien a k oh, 5 00:00:14,000 --> 00:00:18,360 Speaker 1: whoa brun Oh? Whoa brun den? And and and then 6 00:00:18,440 --> 00:00:21,759 Speaker 1: and then and and that for you U, the heat 7 00:00:21,840 --> 00:00:24,320 Speaker 1: is on. I don't know the lyrics, just that oh 8 00:00:24,760 --> 00:00:27,960 Speaker 1: part and I'm sure to be joint as always buy 9 00:00:28,080 --> 00:00:31,640 Speaker 1: my co host, Mr Miles Yes at Miles of Gray 10 00:00:31,760 --> 00:00:34,839 Speaker 1: a k A hashtag what's wrong with Miles Gray lazily 11 00:00:35,000 --> 00:00:38,640 Speaker 1: robbed from some promotional hashtag Twitter recommended that is spot 12 00:00:38,680 --> 00:00:42,080 Speaker 1: on at Roman King. Yeah, so shout out to the 13 00:00:42,120 --> 00:00:45,319 Speaker 1: movie The Prodigy for using my name. Okay, but it's 14 00:00:45,479 --> 00:00:47,360 Speaker 1: you know, look, Miles is are having a good year 15 00:00:47,360 --> 00:00:49,479 Speaker 1: a year right now with the Spider Verse. You got 16 00:00:49,520 --> 00:00:53,920 Speaker 1: Miles Morales okay, and I got this sick kid, Miles. So, uh, 17 00:00:54,040 --> 00:00:58,240 Speaker 1: the years looking good, I think at least for some Miles. Yeah, 18 00:00:58,400 --> 00:01:01,520 Speaker 1: and it's not like a Trump of kids who does 19 00:01:01,600 --> 00:01:05,040 Speaker 1: something pretty and realistic. I'm pretty sure he's like a 20 00:01:05,080 --> 00:01:08,720 Speaker 1: ghost or possessed by the devil or. I think that's 21 00:01:08,800 --> 00:01:12,800 Speaker 1: what's on the trailer. Yeah, yeah, he's uh the undead. Well, 22 00:01:12,800 --> 00:01:15,160 Speaker 1: when you use the hashtag, it shows like a boy 23 00:01:15,280 --> 00:01:19,200 Speaker 1: with a half human half DEMONI face. So I'm assuming 24 00:01:19,360 --> 00:01:23,360 Speaker 1: maybe it's a commentary on mixed phrase kids. Probably almost. 25 00:01:23,600 --> 00:01:26,160 Speaker 1: My grandmother would say, she's like, that's that Japanese. Yeah, 26 00:01:26,280 --> 00:01:29,199 Speaker 1: I mean I assumed. And we're started to be joined 27 00:01:29,200 --> 00:01:36,039 Speaker 1: by the hilarious comedian and performer Katia Covinge. Welcome back 28 00:01:36,240 --> 00:01:39,240 Speaker 1: to the U S. Yes, I like the always stop 29 00:01:39,319 --> 00:01:42,679 Speaker 1: in when whenever you're in country. Where did your travels 30 00:01:42,720 --> 00:01:48,400 Speaker 1: take you? Uh where? Not to America? No? No? Before Um, 31 00:01:48,640 --> 00:01:50,680 Speaker 1: well I was back in London, but I did a 32 00:01:50,720 --> 00:01:53,880 Speaker 1: tour around Europe, so I did a bunch of shows, 33 00:01:54,240 --> 00:01:57,000 Speaker 1: did nine countries in four weeks. So it was nut 34 00:01:57,040 --> 00:02:03,160 Speaker 1: to chill, but it was really great experience. And uh yeah, 35 00:02:03,320 --> 00:02:08,120 Speaker 1: just then did the refringe and um back in Lea. Yeah, 36 00:02:08,400 --> 00:02:12,359 Speaker 1: the weather is yeah, I've brought this, thank you. I 37 00:02:12,680 --> 00:02:15,720 Speaker 1: love it gives me a reason to wear hoodies and jackets, 38 00:02:15,800 --> 00:02:18,160 Speaker 1: which I don't get to. I just wear it in 39 00:02:18,160 --> 00:02:21,919 Speaker 1: the A C buildings. All right, Katya, we're gonna get 40 00:02:21,919 --> 00:02:23,800 Speaker 1: to know you a little bit better in a moment. First, 41 00:02:23,800 --> 00:02:25,560 Speaker 1: we're gonna tell our listeners a couple of things we're 42 00:02:25,560 --> 00:02:29,400 Speaker 1: talking about today Today. We're talking about the showdown between 43 00:02:29,400 --> 00:02:34,320 Speaker 1: the NYPD and Ways. I'm team Ways, but I'm sure 44 00:02:34,360 --> 00:02:37,240 Speaker 1: they're you know, they're they're probably an evil tech company 45 00:02:37,240 --> 00:02:41,080 Speaker 1: that I think they're owned by Google. Actually, yeah, so 46 00:02:41,400 --> 00:02:45,280 Speaker 1: team Google. I mean they said at the outset don't 47 00:02:45,280 --> 00:02:49,760 Speaker 1: be evil and have stuck to that perfectly. We're gonna 48 00:02:49,760 --> 00:02:53,880 Speaker 1: talk about Campbell's wanting to own the adjective chunky. We're 49 00:02:53,880 --> 00:02:57,280 Speaker 1: gonna talk about Beetlejuice the musical. Uh not really, just 50 00:02:57,880 --> 00:03:00,400 Speaker 1: that is a thing. We're gonna talking about the twenty 51 00:03:00,400 --> 00:03:04,079 Speaker 1: one Savage deportation meme. It was kind of it's kind 52 00:03:04,080 --> 00:03:09,640 Speaker 1: of been memed all over the social networks, but it's 53 00:03:09,720 --> 00:03:11,800 Speaker 1: it's actually a kind of a fucked up story that 54 00:03:12,000 --> 00:03:14,760 Speaker 1: is representative of a fund up thing that is happening 55 00:03:15,080 --> 00:03:17,240 Speaker 1: in America. So we're gonna talk about that. We're gonna 56 00:03:17,320 --> 00:03:23,520 Speaker 1: talk about Tucker Carlson going economically populist and just why 57 00:03:23,600 --> 00:03:28,000 Speaker 1: that's a weird fit, but also why that is probably 58 00:03:28,080 --> 00:03:31,080 Speaker 1: the move right now. Uh, And we'll talk about medicare 59 00:03:31,120 --> 00:03:33,000 Speaker 1: for all and why that looks like it's going to 60 00:03:33,080 --> 00:03:36,800 Speaker 1: get bloody. But first, Katya, we like to ask our guest, 61 00:03:36,920 --> 00:03:39,520 Speaker 1: what is something from your search history that's revealing about 62 00:03:39,520 --> 00:03:41,640 Speaker 1: who you are? Oh? I don't know if it's revealing. 63 00:03:42,520 --> 00:03:47,880 Speaker 1: I guess we'll be d I was looking through my 64 00:03:47,920 --> 00:03:51,720 Speaker 1: search history, and my most recent search was there's this 65 00:03:51,760 --> 00:03:56,160 Speaker 1: guy who makes loads of art of spoons. Oh yeah, 66 00:03:58,040 --> 00:04:01,200 Speaker 1: I have no idea. I get his name though, Yeah, 67 00:04:01,240 --> 00:04:05,000 Speaker 1: spoon and creations. That's the guy there is. He makes 68 00:04:05,080 --> 00:04:08,800 Speaker 1: like clocks and juicilary and stuff out spoons and like 69 00:04:08,880 --> 00:04:10,680 Speaker 1: fun head gear. So it looks like you've got a 70 00:04:10,680 --> 00:04:14,680 Speaker 1: pencil going through your head or or have her. It's 71 00:04:14,720 --> 00:04:18,800 Speaker 1: like proper dad jokes. Yeah, so are you? Is just 72 00:04:18,839 --> 00:04:23,720 Speaker 1: something you're gonna work into your set. Yeah, good old 73 00:04:23,720 --> 00:04:27,400 Speaker 1: process like spoon musical, like like climbing the foods together 74 00:04:27,520 --> 00:04:31,920 Speaker 1: like that, right on the spoon guy some early Steve 75 00:04:32,000 --> 00:04:35,440 Speaker 1: Martin though he did he did arrows through the head stuff. Yeah, 76 00:04:35,880 --> 00:04:39,600 Speaker 1: where that got him might be. I'm surprised people don't 77 00:04:40,160 --> 00:04:43,520 Speaker 1: how many we're the prop comedians. Yeah, we're the good, 78 00:04:43,920 --> 00:04:47,920 Speaker 1: the acceptable prop comedians. Are there people? Do you people doing? 79 00:04:47,960 --> 00:04:50,240 Speaker 1: I heard there's one guy in l A. I want 80 00:04:50,279 --> 00:04:52,080 Speaker 1: to say. His name is like Carrot Top or something. 81 00:04:53,160 --> 00:04:56,400 Speaker 1: I don't know. He he does a lot of I'm sorry, 82 00:04:56,440 --> 00:04:59,480 Speaker 1: I mean vegans. Yeah, he does loads of props. Yeah, 83 00:05:00,080 --> 00:05:04,640 Speaker 1: he'll hold up a T shirt and and whatstond I 84 00:05:04,640 --> 00:05:08,119 Speaker 1: have no idea what I like whatever that was. Yeah, 85 00:05:08,360 --> 00:05:11,240 Speaker 1: I I just picture all of his jokes somehow involving 86 00:05:11,279 --> 00:05:14,359 Speaker 1: a giant pair of scissors and some white like some 87 00:05:14,480 --> 00:05:16,720 Speaker 1: sort of just putting on like a small T shirt 88 00:05:16,760 --> 00:05:23,360 Speaker 1: and just flexing it off like yeah, because I heard 89 00:05:23,360 --> 00:05:26,920 Speaker 1: he's like really muscly. Now, oh yeah, he is a jacket. 90 00:05:28,320 --> 00:05:31,120 Speaker 1: That's what Vegas will do to. Yeah, what is something 91 00:05:31,360 --> 00:05:35,560 Speaker 1: you think is underrated? Uh? Well I have for overrated. 92 00:05:35,680 --> 00:05:39,280 Speaker 1: Underrated kind of the same thing like, um, well, well 93 00:05:39,520 --> 00:05:43,960 Speaker 1: so for overrated, um I think kind of like people 94 00:05:43,960 --> 00:05:46,600 Speaker 1: out here talk a lot about manifesting. So last time 95 00:05:46,600 --> 00:05:47,960 Speaker 1: I was in l A, I was like, okay, like 96 00:05:48,040 --> 00:05:50,560 Speaker 1: the secret, like, I'll try manifesting. And when I was 97 00:05:50,600 --> 00:05:53,480 Speaker 1: doing this tour around Europe, I was listening to meditation 98 00:05:53,520 --> 00:05:55,400 Speaker 1: tape and it was all about like attracting love into 99 00:05:55,400 --> 00:05:57,680 Speaker 1: your life. And I had my eyes closed and when 100 00:05:57,680 --> 00:05:59,520 Speaker 1: I opened my eyes. There was a guy across from 101 00:05:59,520 --> 00:06:04,560 Speaker 1: me wine king looking it was manifesting too hard and 102 00:06:04,600 --> 00:06:11,360 Speaker 1: you guys didn't an't auspicious beginning. Yeah, but I was 103 00:06:11,400 --> 00:06:14,200 Speaker 1: also thinking like Scottish people, like I used to do 104 00:06:14,200 --> 00:06:17,160 Speaker 1: a joke about how like whenever like in the BBC news, 105 00:06:17,160 --> 00:06:19,120 Speaker 1: they'll be like, oh, the Olympics and Scottish people that 106 00:06:19,320 --> 00:06:23,000 Speaker 1: it's overrated. Well I was a royal family that it's overrated, 107 00:06:23,160 --> 00:06:25,839 Speaker 1: or like oh it's the napocat lives are like it's overrated. 108 00:06:26,160 --> 00:06:28,720 Speaker 1: But there's this like brand of drink called Iron Brew 109 00:06:28,880 --> 00:06:31,200 Speaker 1: and it's the slogan is like phenomenal, So they're like, 110 00:06:31,400 --> 00:06:36,640 Speaker 1: I'm phenomenal, but like iron Brew, this is from my 111 00:06:36,720 --> 00:06:40,360 Speaker 1: underrated um. They actually are in Scotland. It's the only 112 00:06:40,400 --> 00:06:44,720 Speaker 1: country where I'm brewing out sells Coda Cola really b 113 00:06:44,839 --> 00:06:47,880 Speaker 1: are you right? Yeah? I R and b are you 114 00:06:48,279 --> 00:06:50,240 Speaker 1: And it's like an orange drink and it tastes kind 115 00:06:50,240 --> 00:06:55,920 Speaker 1: of like bubble gum fantasy Land. It's really bizarre. But 116 00:06:56,720 --> 00:07:00,720 Speaker 1: it's not an alcoholic beverage. No, No, it's like room. 117 00:07:00,800 --> 00:07:04,440 Speaker 1: So like I know, American marketing makes that be like 118 00:07:04,520 --> 00:07:08,200 Speaker 1: it's for fucking guys. Who eat molten steel, you know, 119 00:07:08,839 --> 00:07:11,440 Speaker 1: just sipping in iron brew. The most popular drinking bars 120 00:07:11,440 --> 00:07:14,040 Speaker 1: in Scotland is iron brew and vodka. So okay, yeah, 121 00:07:14,080 --> 00:07:16,800 Speaker 1: you'll do those. What do they call that together? Yeah? Yeah, 122 00:07:16,880 --> 00:07:20,920 Speaker 1: it's like so sugarly, so caffeinated. Is there a nickname 123 00:07:21,000 --> 00:07:27,040 Speaker 1: for iron Brew with vodka? I have no idea. Give 124 00:07:27,080 --> 00:07:32,280 Speaker 1: me IBV real quick. Now does Mountain Dew exist? I 125 00:07:32,320 --> 00:07:35,679 Speaker 1: actually think it might be banned because I think something 126 00:07:35,720 --> 00:07:37,880 Speaker 1: about I mean, maybe it does exist now, but I 127 00:07:37,920 --> 00:07:40,400 Speaker 1: remember it being that when I was a kid, I'd 128 00:07:40,440 --> 00:07:41,800 Speaker 1: come out to America and be like, oh I love 129 00:07:41,840 --> 00:07:44,240 Speaker 1: Martain Dew, and then I was never allowed to get 130 00:07:44,280 --> 00:07:47,840 Speaker 1: it in the UK. Yeah. That's probably for the best, yeah, 131 00:07:48,040 --> 00:07:50,720 Speaker 1: because there are so many American products that are branded 132 00:07:50,960 --> 00:07:56,160 Speaker 1: in Europe because of being unhealthy and or like chemicals. 133 00:07:56,240 --> 00:07:58,160 Speaker 1: Right well, because we all know Europeans are soft and 134 00:07:58,200 --> 00:08:01,520 Speaker 1: they care about their people. So yeah, we just it's 135 00:08:01,520 --> 00:08:04,360 Speaker 1: about freedom here. So if I want to drink chemicals 136 00:08:04,440 --> 00:08:08,120 Speaker 1: that you know, we're used for paints, then fine. Yeah. 137 00:08:08,160 --> 00:08:11,240 Speaker 1: If I want cancer, I want cancer. That's my cancer. 138 00:08:11,360 --> 00:08:16,000 Speaker 1: It's from smoking, okay America? Uh oh, so that's the underrated? 139 00:08:16,240 --> 00:08:18,880 Speaker 1: Is iron Brew? All right, I need to check this 140 00:08:18,880 --> 00:08:22,360 Speaker 1: ship out. Yeah is it? It's not available anywhere, right, 141 00:08:23,280 --> 00:08:26,400 Speaker 1: you could maybe in the United States. There's probably someplace. 142 00:08:26,440 --> 00:08:33,000 Speaker 1: It's like importing it. The most they have is like 143 00:08:33,000 --> 00:08:35,640 Speaker 1: like Irish name, but it's a Scottish pub supposedly that 144 00:08:35,679 --> 00:08:39,320 Speaker 1: one in l A. Oh, it's really wow. Let's look. 145 00:08:39,480 --> 00:08:41,680 Speaker 1: You know, we're not good with brains here, you know, 146 00:08:41,800 --> 00:08:47,240 Speaker 1: we just say it. Well it sounds like over there Celtic. Yeah. 147 00:08:47,240 --> 00:08:49,720 Speaker 1: What is a myth? Finally? What's something people think it's true? 148 00:08:49,760 --> 00:08:51,960 Speaker 1: You know to be false? Yeah? Well I find this 149 00:08:52,000 --> 00:08:54,640 Speaker 1: really interesting because I love watching like Blue Planet and 150 00:08:54,679 --> 00:08:57,240 Speaker 1: Planet Earths, like with David at and Brown, and I 151 00:08:57,320 --> 00:09:00,319 Speaker 1: found out that all the sounds of the animals you hear, 152 00:09:00,360 --> 00:09:02,760 Speaker 1: like obviously the sounds that you hear the animals make 153 00:09:02,800 --> 00:09:04,800 Speaker 1: their actual but say one's like it would be like 154 00:09:05,040 --> 00:09:08,000 Speaker 1: a lizard crawling on sand. They have to it's not 155 00:09:08,040 --> 00:09:10,320 Speaker 1: the actual sounds that they create, so they put it 156 00:09:10,360 --> 00:09:13,200 Speaker 1: all in later and fully, like I was listening to 157 00:09:13,200 --> 00:09:15,520 Speaker 1: it last night and it was like one of it 158 00:09:15,600 --> 00:09:18,360 Speaker 1: was like this fish that kind of goes our own land, 159 00:09:18,480 --> 00:09:20,400 Speaker 1: And I was like, oh, this just sounds like lettuce 160 00:09:20,440 --> 00:09:24,400 Speaker 1: on a wood board like this is yeah, it's really interesting, 161 00:09:24,520 --> 00:09:28,000 Speaker 1: like it's Celery and a shammy hit, like yeah, listen 162 00:09:28,040 --> 00:09:30,679 Speaker 1: to it. You'll watch it now and be like I 163 00:09:30,679 --> 00:09:33,360 Speaker 1: can all I can see is Celery. And did you 164 00:09:33,400 --> 00:09:36,679 Speaker 1: see how Netflix got David Edinburgh to do their version 165 00:09:36,720 --> 00:09:40,800 Speaker 1: of Planet Earth. Yeah, so they've they've just nicked him 166 00:09:40,840 --> 00:09:44,280 Speaker 1: from the BBC to do their own version called Our Planet. Yes, 167 00:09:44,400 --> 00:09:46,840 Speaker 1: oh no way. I do find his voice like a 168 00:09:47,000 --> 00:09:50,160 Speaker 1: smr like I fall asleep to it. Yeah, it sounds 169 00:09:50,200 --> 00:09:53,280 Speaker 1: like if a blanket were a voice. Yes, a nice 170 00:09:53,280 --> 00:09:55,719 Speaker 1: woven if you turn the volume down really low, he's 171 00:09:55,720 --> 00:10:00,839 Speaker 1: like whispering, like as you see the dinosaurs, Like that 172 00:10:00,840 --> 00:10:03,040 Speaker 1: would be amazing if you know a dinosa, it would 173 00:10:03,040 --> 00:10:05,880 Speaker 1: all be from memory. Yeah, I was there. Like the 174 00:10:06,559 --> 00:10:10,400 Speaker 1: BBC's version is like objective Planet Earth and Netflix is 175 00:10:10,520 --> 00:10:16,720 Speaker 1: like our motherfucker. Yeah that's the UK versus America. Like 176 00:10:16,800 --> 00:10:19,280 Speaker 1: this is fact and it's like, well what we see. 177 00:10:19,880 --> 00:10:23,040 Speaker 1: I've actually been helping out my friends preschool and so 178 00:10:23,080 --> 00:10:25,400 Speaker 1: many other things to friends with the preschool student, yeah, 179 00:10:25,440 --> 00:10:29,400 Speaker 1: a teacher and so many things. She teaches the kids 180 00:10:29,480 --> 00:10:32,240 Speaker 1: and it's like did you know that the owl's birth 181 00:10:32,280 --> 00:10:35,000 Speaker 1: and egg, like everything is so fantastical and amazing, and 182 00:10:35,559 --> 00:10:37,520 Speaker 1: when we were tired, it was like the owls making 183 00:10:37,600 --> 00:10:43,720 Speaker 1: egg and how it is, Yeah exactly whereas here everything's 184 00:10:43,760 --> 00:10:49,559 Speaker 1: like and then then for three long weeks, yeah exactly so, 185 00:10:49,840 --> 00:10:52,480 Speaker 1: And to me, the kids are like wow, and I'm like, 186 00:10:52,559 --> 00:10:55,719 Speaker 1: that's just life, Like, that's just how it works. It's 187 00:10:55,800 --> 00:10:57,680 Speaker 1: kind of cute, like guys are a matter of fact, 188 00:10:57,960 --> 00:11:07,200 Speaker 1: right and shuts out an egg and it's over it. 189 00:11:07,200 --> 00:11:10,480 Speaker 1: It makes a baby, and who knows what happens. Let's 190 00:11:10,520 --> 00:11:15,400 Speaker 1: the evolutional life, I guess right. Let's talk about the 191 00:11:15,520 --> 00:11:20,160 Speaker 1: NYPD verse ways. Yeah, wasts? Do you still use ways? 192 00:11:20,559 --> 00:11:23,000 Speaker 1: I use ways sometimes it's actually good. I think in 193 00:11:23,080 --> 00:11:26,080 Speaker 1: certain areas it's good. And at certain times, you know, 194 00:11:26,160 --> 00:11:29,280 Speaker 1: like l A is can be such a clusterfuck traffic 195 00:11:29,320 --> 00:11:31,719 Speaker 1: wise that sometimes ways can give you a bit of 196 00:11:31,760 --> 00:11:34,680 Speaker 1: an out to try and avoid traffic. Other times it 197 00:11:34,720 --> 00:11:37,199 Speaker 1: will just send you in a man all the left 198 00:11:37,200 --> 00:11:41,120 Speaker 1: turns like unprotected left turns. Nope, don't like that, especially 199 00:11:41,120 --> 00:11:43,679 Speaker 1: not in l A a rush hour. But I mean, 200 00:11:43,720 --> 00:11:45,839 Speaker 1: for the most part it has its uses, and the 201 00:11:45,920 --> 00:11:47,560 Speaker 1: time might get an uber driver that's like I'm going 202 00:11:47,600 --> 00:11:49,400 Speaker 1: to use wasys. I'm like, this is gonna be a 203 00:11:49,480 --> 00:11:52,520 Speaker 1: long journey because I feel like it always goes like yeah, 204 00:11:52,559 --> 00:11:55,439 Speaker 1: it can be it can be weird. Yeah, sometimes it 205 00:11:55,520 --> 00:11:57,600 Speaker 1: can take you way out of the way when it 206 00:11:57,640 --> 00:12:00,280 Speaker 1: could be like okay, yeah, maybe I save four minutes, 207 00:12:00,440 --> 00:12:03,199 Speaker 1: but we went like a mile out of the way 208 00:12:03,320 --> 00:12:06,680 Speaker 1: and you're adding distance, so whatever. But you know, for 209 00:12:06,720 --> 00:12:08,640 Speaker 1: people don't know, like on ways, you can do stuff 210 00:12:08,679 --> 00:12:10,560 Speaker 1: like be like you can add like flag like oh 211 00:12:10,559 --> 00:12:13,600 Speaker 1: there's a pothole here where there's construction, or there's a 212 00:12:13,640 --> 00:12:17,560 Speaker 1: dead end, or or that's the sound of the police. 213 00:12:18,000 --> 00:12:20,480 Speaker 1: There's a d UI checkpoint or d w I checkpoint 214 00:12:20,480 --> 00:12:22,319 Speaker 1: depending on what part of the country you're in for 215 00:12:22,520 --> 00:12:25,000 Speaker 1: you know, for them to stop drivers to make sure 216 00:12:25,120 --> 00:12:28,000 Speaker 1: no one is drink driving, as you say in the UK, 217 00:12:28,440 --> 00:12:33,800 Speaker 1: is that what? Yeah? I actually used to cycle around 218 00:12:33,960 --> 00:12:35,480 Speaker 1: l A and everyone thought I had a d U 219 00:12:35,600 --> 00:12:40,840 Speaker 1: I I'm like, no, I'm just British. I like that assumption. Yo, 220 00:12:40,920 --> 00:12:47,400 Speaker 1: I think has a drinking problem. She bikes everywhere like um, 221 00:12:47,720 --> 00:12:49,760 Speaker 1: But yeah, so on ways, I guess the New York 222 00:12:49,840 --> 00:12:52,880 Speaker 1: police were really kind of not feeling it because they 223 00:12:53,000 --> 00:12:55,120 Speaker 1: noticed a lot of people were sort of marking where 224 00:12:55,200 --> 00:12:57,520 Speaker 1: d w I checkpoints are. So they hit them with 225 00:12:57,640 --> 00:13:00,320 Speaker 1: like a really intimidating letter, like legal letter. It said, 226 00:13:00,360 --> 00:13:03,040 Speaker 1: individuals who post the location of d w I checkpoints 227 00:13:03,240 --> 00:13:06,520 Speaker 1: maybe engaging in criminal conduct, since such actions could be 228 00:13:06,559 --> 00:13:09,760 Speaker 1: intentional attempts to prevent and or impair the administration of 229 00:13:09,840 --> 00:13:12,199 Speaker 1: the d w I laws and other relevant criminal and 230 00:13:12,280 --> 00:13:16,160 Speaker 1: traffic laws. So basically saying, like them posting it is irresponsible, 231 00:13:16,240 --> 00:13:19,520 Speaker 1: blah blah blah. Google's argument is like, you know, look, 232 00:13:19,760 --> 00:13:21,920 Speaker 1: we're just trying to let other drivers alert people to 233 00:13:22,000 --> 00:13:24,679 Speaker 1: things on the road. Like they say that when, for example, 234 00:13:24,760 --> 00:13:27,079 Speaker 1: when they tell people about like speed traps or things 235 00:13:27,160 --> 00:13:29,439 Speaker 1: like that, by putting that there, it might help a 236 00:13:29,559 --> 00:13:31,760 Speaker 1: driver or most likely would help a driver make a 237 00:13:31,880 --> 00:13:34,599 Speaker 1: safer decision knowing that this is a thing. But on 238 00:13:34,679 --> 00:13:36,800 Speaker 1: the other end of the d w I it's harder 239 00:13:36,840 --> 00:13:41,120 Speaker 1: to make that argue, Yeah, that just is helping drunk people, right, Well, 240 00:13:41,160 --> 00:13:42,839 Speaker 1: I think that's also but I think that's where it 241 00:13:42,920 --> 00:13:45,360 Speaker 1: kind of becomes like a First Amendment issue where it's like, well, 242 00:13:45,480 --> 00:13:48,240 Speaker 1: you can tell people that if you're merely saying I'm 243 00:13:48,280 --> 00:13:51,680 Speaker 1: trying to avoid traffic rather than I'm trying to enable 244 00:13:51,840 --> 00:13:54,320 Speaker 1: people who are drunk and driving. But at the end 245 00:13:54,360 --> 00:13:57,079 Speaker 1: of the day, I mean I in no way I 246 00:13:57,160 --> 00:13:59,280 Speaker 1: think we should make it easy for people who might 247 00:13:59,360 --> 00:14:02,719 Speaker 1: be drunk to be like, well, okay, better avoid that 248 00:14:03,040 --> 00:14:05,280 Speaker 1: part of town and then just drink and drive in 249 00:14:05,360 --> 00:14:08,560 Speaker 1: this part it's right, So we'll see where where it goes, 250 00:14:08,960 --> 00:14:12,240 Speaker 1: what what legal steps happen next. Yeah, that is interesting. 251 00:14:12,760 --> 00:14:15,400 Speaker 1: I've been waiting for this ever since the first time 252 00:14:15,520 --> 00:14:19,640 Speaker 1: that I avoided a speed trap with ways, and I 253 00:14:19,760 --> 00:14:22,560 Speaker 1: was like, oh, but that can't be good for cops, 254 00:14:22,720 --> 00:14:26,200 Speaker 1: Like cops cannot be okay with that. I think in 255 00:14:26,520 --> 00:14:28,560 Speaker 1: l A though, the thing that people really hate about 256 00:14:28,600 --> 00:14:32,000 Speaker 1: ways is like suddenly there's traffic on streets that were 257 00:14:32,120 --> 00:14:34,360 Speaker 1: never like thoroughfares, like you know what I mean, Like, 258 00:14:34,680 --> 00:14:36,680 Speaker 1: especially in the hills, there are people who have like 259 00:14:36,760 --> 00:14:39,680 Speaker 1: aggressive signs like if you came here because the ways 260 00:14:39,760 --> 00:14:42,880 Speaker 1: just turned around the streets too narrow, and you're like, okay, 261 00:14:43,240 --> 00:14:47,080 Speaker 1: whoa thank you my street. Like back when I lived 262 00:14:47,120 --> 00:14:49,680 Speaker 1: in Westwood, our street would just every once in a 263 00:14:49,720 --> 00:14:53,000 Speaker 1: while have standstill traffic going all the way up it 264 00:14:53,160 --> 00:14:55,840 Speaker 1: because like a ways, right, it was like to avoid 265 00:14:55,880 --> 00:15:00,040 Speaker 1: traffic like you couldn't. Yeah, it was just crazy. It 266 00:15:00,080 --> 00:15:02,680 Speaker 1: was like a traffic jams. And some neighborhoods have gotten 267 00:15:03,080 --> 00:15:04,920 Speaker 1: who are so on the ball or just have connections 268 00:15:04,920 --> 00:15:07,600 Speaker 1: to city hall. Well, actually I've noticed, like when I 269 00:15:07,720 --> 00:15:09,680 Speaker 1: was really using it, when I was commuting like from 270 00:15:09,720 --> 00:15:11,440 Speaker 1: the west side to the valley and back and forth 271 00:15:11,480 --> 00:15:14,040 Speaker 1: and was really taking advantage of side streets. They got 272 00:15:14,120 --> 00:15:17,160 Speaker 1: signage up to be like during like rush hour, like 273 00:15:17,400 --> 00:15:20,240 Speaker 1: not like from seven to nine, at seven to nine 274 00:15:20,600 --> 00:15:23,960 Speaker 1: and from four to seven you can come through this street. 275 00:15:24,000 --> 00:15:26,440 Speaker 1: And I'm like, wow, that happened quick. Wonder what city 276 00:15:26,440 --> 00:15:30,200 Speaker 1: council member lives here right exactly. Let's talk about the 277 00:15:30,200 --> 00:15:33,200 Speaker 1: word chunky. Okay, what do you have to say? Uh, 278 00:15:33,400 --> 00:15:36,760 Speaker 1: I don't make it's a good way to describe your cabs. 279 00:15:36,960 --> 00:15:42,560 Speaker 1: Thank you are God, like I think. Uh no, So 280 00:15:42,720 --> 00:15:46,400 Speaker 1: Campbell's is trying to I guess trademark or yeah, I 281 00:15:46,440 --> 00:15:50,800 Speaker 1: guess they did successfully trademark the word chunky. Yeah, because 282 00:15:50,880 --> 00:15:53,640 Speaker 1: I think they saw other people using chunky on like 283 00:15:53,760 --> 00:15:57,520 Speaker 1: the labels of their soups like Progress. So okay, and 284 00:15:57,560 --> 00:16:01,240 Speaker 1: they're like, look, chunky is our fucking that's our brand 285 00:16:01,480 --> 00:16:04,640 Speaker 1: our Campbell's fucking brand. Donovan McNabb's mom did not go 286 00:16:04,760 --> 00:16:07,080 Speaker 1: through all that trouble for us to be here, because 287 00:16:07,080 --> 00:16:09,120 Speaker 1: I think that wasn't that like one of the first time. 288 00:16:09,200 --> 00:16:11,360 Speaker 1: I mean, it's been happening for a while, but I 289 00:16:11,400 --> 00:16:16,200 Speaker 1: remember Donovan mcmcnabb's mom like made a career was NFL quarterback? 290 00:16:16,240 --> 00:16:24,160 Speaker 1: Do yes, he sounds like he could be British? Yeah yeah, 291 00:16:25,920 --> 00:16:28,240 Speaker 1: um yeah, like where his mother was like this is 292 00:16:28,360 --> 00:16:30,600 Speaker 1: his secret, I'm serving him soup in the locker room 293 00:16:30,680 --> 00:16:33,240 Speaker 1: or whatever. And I think they were just saying like, look, 294 00:16:33,600 --> 00:16:36,080 Speaker 1: we don't like other brands closing in on Chunky because 295 00:16:36,280 --> 00:16:40,560 Speaker 1: you know if most people people, They had some weird 296 00:16:40,640 --> 00:16:43,480 Speaker 1: numbers saying that a lot of people associate the word 297 00:16:43,600 --> 00:16:46,680 Speaker 1: chunky with the Campbell's brand, and like to this finding 298 00:16:46,760 --> 00:16:49,160 Speaker 1: to try and get their trademark approved. They brought all 299 00:16:49,240 --> 00:16:51,640 Speaker 1: kinds of stuff like articles from like the Onion to 300 00:16:51,800 --> 00:16:54,120 Speaker 1: like SNL sketches to all these things to be like 301 00:16:54,520 --> 00:16:58,720 Speaker 1: Chunky is Campbell's. Where they even pulled up with wu 302 00:16:58,840 --> 00:17:02,800 Speaker 1: tang lyrics to show you that Chunky and Campbell's are 303 00:17:02,920 --> 00:17:05,720 Speaker 1: fucking hand in hand. So they took a lyric from 304 00:17:05,920 --> 00:17:08,800 Speaker 1: a ghost face killer track Murder Goons where he said, 305 00:17:09,040 --> 00:17:11,760 Speaker 1: leave your brand all chunky, like I'm advertising soup for 306 00:17:11,880 --> 00:17:14,719 Speaker 1: Campbell's and they said, oh that's not enough. Well how 307 00:17:14,720 --> 00:17:17,119 Speaker 1: about this one from Return of Theodore Unit where he 308 00:17:17,200 --> 00:17:21,399 Speaker 1: said Chunky and I talking chicken noodle soup. Yes, so 309 00:17:21,560 --> 00:17:23,439 Speaker 1: ghost face. I feel like, if anything, why don't they 310 00:17:23,480 --> 00:17:26,000 Speaker 1: give a ghost face up with some know they should 311 00:17:26,040 --> 00:17:28,560 Speaker 1: just make him their brand spokespers. Yeah, I mean he 312 00:17:28,600 --> 00:17:30,520 Speaker 1: would probably be a little a little too wild for 313 00:17:30,680 --> 00:17:33,400 Speaker 1: the Camels. But like, as a brit you don't really 314 00:17:33,480 --> 00:17:35,720 Speaker 1: have we don't have Campbell's soup as much. So I 315 00:17:35,800 --> 00:17:37,840 Speaker 1: just think of like Chunky is and like, oh no, 316 00:17:37,960 --> 00:17:41,080 Speaker 1: I'm feeling about Chunky should lay off the fries. Yeah, 317 00:17:41,800 --> 00:17:43,879 Speaker 1: is there is there? Canned soup is canned super big? 318 00:17:44,240 --> 00:17:48,320 Speaker 1: We have like Heightens is our one like the German brand? Yeah, 319 00:17:48,440 --> 00:17:52,600 Speaker 1: that's our hens tomato soup, hands some vegetable soup. Wait 320 00:17:52,960 --> 00:17:57,040 Speaker 1: from there from the Usberg Yeah yeah yeah, that's our 321 00:17:57,119 --> 00:18:00,200 Speaker 1: catch up. Yeah yeah yeah yeah, yeah, yeah yeah yeah 322 00:18:00,280 --> 00:18:03,640 Speaker 1: yeah yes. Um but yeah, so you know they've they've 323 00:18:03,680 --> 00:18:06,440 Speaker 1: gotten their trademark and but it only pertains the soup. 324 00:18:06,640 --> 00:18:08,480 Speaker 1: I mean they're clear on that that's the thing that 325 00:18:08,600 --> 00:18:11,879 Speaker 1: happens in the US. T Mobile tried to trademark and 326 00:18:11,960 --> 00:18:15,800 Speaker 1: I think succeeded that color magenta. They were just like, 327 00:18:15,880 --> 00:18:18,520 Speaker 1: nobody else can use that now for anything. Yeah, They're like, 328 00:18:18,600 --> 00:18:21,159 Speaker 1: this is our like cmy K number or whatever, that 329 00:18:21,800 --> 00:18:25,639 Speaker 1: very specific color code is yes, uh, and that I 330 00:18:25,800 --> 00:18:28,240 Speaker 1: think it's succeeded because anytime I see that color, I 331 00:18:28,359 --> 00:18:31,400 Speaker 1: do associate it with T Mobile, and that's called the branding. 332 00:18:31,440 --> 00:18:38,160 Speaker 1: Babic is how you win in America. Let's talk Beetle Juice. Yeah, 333 00:18:38,200 --> 00:18:41,320 Speaker 1: I mean I only but only say it once. Okay, 334 00:18:41,400 --> 00:18:49,840 Speaker 1: then vital Geiss. They they've set their Broadway cast. I 335 00:18:49,920 --> 00:18:52,040 Speaker 1: don't know who any of these people are, but I 336 00:18:52,240 --> 00:18:55,240 Speaker 1: just like the idea that there's a Beetle Juice musical. 337 00:18:55,480 --> 00:18:59,240 Speaker 1: I don't normally don't care for musicals, but the visually 338 00:18:59,280 --> 00:19:02,320 Speaker 1: Beetle Juice as a kid really captured my imagination, from 339 00:19:02,440 --> 00:19:05,000 Speaker 1: like the wacky house that was in there to the 340 00:19:05,680 --> 00:19:09,760 Speaker 1: Harry Belafonte sequence. But yeah, there's like a full on musical. 341 00:19:09,960 --> 00:19:12,440 Speaker 1: I mean it makes sense. I guess on one side, 342 00:19:12,440 --> 00:19:14,760 Speaker 1: I'm like a Beetle Juice musical, and then I'm like, yeah, 343 00:19:15,040 --> 00:19:18,760 Speaker 1: actually Beetle Juice, I think is perfect fodder for a musical. 344 00:19:19,280 --> 00:19:21,560 Speaker 1: This is so weird because the two songs I just 345 00:19:21,720 --> 00:19:24,720 Speaker 1: added to my son's playlist are the Harry Belafonte song 346 00:19:25,080 --> 00:19:28,879 Speaker 1: and the Heat Is On. So today is influenced by 347 00:19:29,000 --> 00:19:32,480 Speaker 1: my son's playlist. So you've manifested things. I am manifesting 348 00:19:32,600 --> 00:19:38,200 Speaker 1: things just with sheer intention. Uh wait, so you're saying 349 00:19:38,280 --> 00:19:41,000 Speaker 1: this is the beetle Juice, this is about him as 350 00:19:41,040 --> 00:19:44,520 Speaker 1: a child, or you were saying that you as a 351 00:19:44,600 --> 00:19:47,360 Speaker 1: child as a child as a child, Yeah, because yeah, 352 00:19:47,440 --> 00:19:50,119 Speaker 1: being an eighties baby, you're like, wow, Yes, it was 353 00:19:50,200 --> 00:19:54,560 Speaker 1: a very good movie that like I don't know Michael 354 00:19:55,160 --> 00:19:59,720 Speaker 1: uh Keaton. Keaton's performance like now stands out to me 355 00:20:00,160 --> 00:20:02,920 Speaker 1: as like, wow, that was a really good comedic performance. 356 00:20:03,080 --> 00:20:05,600 Speaker 1: But like he hasn't really gone there in a in 357 00:20:05,680 --> 00:20:07,320 Speaker 1: a long time. I don't feel yeah, I feel like 358 00:20:07,480 --> 00:20:09,480 Speaker 1: that's something in his bag. He has not gone into 359 00:20:09,600 --> 00:20:12,720 Speaker 1: you sees SNL, But he did SNL as a host 360 00:20:12,840 --> 00:20:14,680 Speaker 1: once and he did this bit where he held a 361 00:20:15,119 --> 00:20:17,480 Speaker 1: baby chick to chicken nugget and was like trying to 362 00:20:17,560 --> 00:20:21,720 Speaker 1: get the baby chick to eat the chicken nuggets. So disgusting, 363 00:20:22,480 --> 00:20:25,359 Speaker 1: but he was like playing dark characters and it was 364 00:20:25,440 --> 00:20:27,960 Speaker 1: so good, right, yeah, yeah, because even in his really 365 00:20:28,000 --> 00:20:30,240 Speaker 1: good performances, you can tell he has really good comedic 366 00:20:30,359 --> 00:20:34,280 Speaker 1: chops because there's a level of you know, comedic started 367 00:20:34,359 --> 00:20:37,760 Speaker 1: as a stand up maybe really really so yeah yeah, 368 00:20:37,800 --> 00:20:39,840 Speaker 1: I mean, but now it's funny. It's like Beetlejuice as 369 00:20:39,880 --> 00:20:42,560 Speaker 1: a dude would be like the grossest fucking human, right, 370 00:20:42,880 --> 00:20:45,520 Speaker 1: but look, he's beetle Juice. He's sucking dead and he 371 00:20:45,600 --> 00:20:47,880 Speaker 1: hangs out with shrunken head dudes in that weird waiting room. 372 00:20:48,000 --> 00:20:50,840 Speaker 1: That scene always sucked me up right, that that weird 373 00:20:50,960 --> 00:20:53,720 Speaker 1: explorer who had a shrunken head. I was always like, yeah, 374 00:20:54,080 --> 00:20:56,600 Speaker 1: it scared me. It's too scary. I haven't seen it 375 00:20:56,720 --> 00:20:59,160 Speaker 1: since I don't know if the movie I haven't seen 376 00:20:59,200 --> 00:21:02,200 Speaker 1: in thirties something years. That is definitely a movie that 377 00:21:02,359 --> 00:21:07,240 Speaker 1: has a very like outsized place in my consciousness that 378 00:21:07,400 --> 00:21:09,720 Speaker 1: just hit me at the right time. Oh yeah, and 379 00:21:09,800 --> 00:21:14,840 Speaker 1: the groups like because if it's like our general area, 380 00:21:15,119 --> 00:21:16,840 Speaker 1: it must be. But it was a thing for the 381 00:21:16,920 --> 00:21:18,680 Speaker 1: longest time, like I guess, you know, like there was 382 00:21:18,720 --> 00:21:20,960 Speaker 1: a fucking when I first heard about it, I thought 383 00:21:21,000 --> 00:21:23,760 Speaker 1: they were talking about the Beetlejuice Rock and Roll Graveyard 384 00:21:23,840 --> 00:21:27,359 Speaker 1: Review Live show that you have a Universal Studios. It 385 00:21:27,520 --> 00:21:29,520 Speaker 1: was like that was the first Beetle Juice musical or 386 00:21:29,680 --> 00:21:33,080 Speaker 1: dude came out of costume and did really lame shit. Um, 387 00:21:33,640 --> 00:21:36,000 Speaker 1: but yeah, I don't know, I think it was. I mean, like, 388 00:21:36,040 --> 00:21:39,240 Speaker 1: I think there was a cartoon, There were toys, there 389 00:21:39,320 --> 00:21:44,159 Speaker 1: was a whole like you know secondary, Yeah, did Beetle 390 00:21:44,240 --> 00:21:47,920 Speaker 1: Juice make it over to where? Yea Halloween? You see 391 00:21:47,960 --> 00:21:52,040 Speaker 1: all the girls in the like striped pinsuit pants. Yeah, 392 00:21:53,280 --> 00:21:57,119 Speaker 1: character the one on a writer character or as just 393 00:21:58,800 --> 00:22:07,560 Speaker 1: as Beetle, But he's not a girl. I know. That's 394 00:22:07,600 --> 00:22:12,320 Speaker 1: what I'm telling you. They got socialism over there. Women 395 00:22:12,359 --> 00:22:16,400 Speaker 1: are dressed like Beetle. T all right, we're gonna take 396 00:22:16,400 --> 00:22:28,560 Speaker 1: a quick break. We'll be right back, and we're back. 397 00:22:29,040 --> 00:22:33,080 Speaker 1: And so there was this fun news story earlier this 398 00:22:33,280 --> 00:22:36,280 Speaker 1: week about twenty one Savage being deported and it was 399 00:22:36,320 --> 00:22:40,080 Speaker 1: funny because it turns out he's from the UK and 400 00:22:40,640 --> 00:22:44,000 Speaker 1: nobody expected him to be from the UK, and there 401 00:22:44,119 --> 00:22:45,879 Speaker 1: was all sorts of yeah it was I mean, it 402 00:22:46,000 --> 00:22:49,160 Speaker 1: was the headlines itself made people laugh because I thought 403 00:22:49,240 --> 00:22:53,040 Speaker 1: of this rapper who's from Atlanta, purportedly who you know, 404 00:22:53,240 --> 00:22:56,960 Speaker 1: had this very storied life in Atlanta. Like, wait, turns 405 00:22:56,960 --> 00:22:59,240 Speaker 1: out has a UK passport, overstated his visa and is 406 00:22:59,280 --> 00:23:01,800 Speaker 1: now getting to worried. Ha ha ha. And I look, 407 00:23:01,800 --> 00:23:03,760 Speaker 1: I'm guilty of laughing at that too. But the more 408 00:23:04,000 --> 00:23:06,159 Speaker 1: that story develops and we actually sort of, you know, 409 00:23:06,280 --> 00:23:09,280 Speaker 1: as I realized how fucked Ice is in general, I'm like, wait, no, 410 00:23:09,560 --> 00:23:14,040 Speaker 1: this is actually a very very not funny story at all. 411 00:23:14,520 --> 00:23:17,240 Speaker 1: So on Sunday, right before the Super Bowl, like during 412 00:23:17,440 --> 00:23:19,080 Speaker 1: you know, but I think if they say started as 413 00:23:19,119 --> 00:23:22,880 Speaker 1: a traffic stop, they say that he was arrested during 414 00:23:22,960 --> 00:23:26,320 Speaker 1: a quote targeted operation with federal and local law enforcement. 415 00:23:26,640 --> 00:23:29,440 Speaker 1: They described the incident as use Immigration and Customs enforcement 416 00:23:29,680 --> 00:23:34,000 Speaker 1: arrested unlawfully present United Kingdom national is given name of 417 00:23:34,080 --> 00:23:37,399 Speaker 1: Shiah Ben Abraham Joseph. They also went as far as 418 00:23:37,440 --> 00:23:40,080 Speaker 1: to like further comment to say, like his whole public 419 00:23:40,160 --> 00:23:45,119 Speaker 1: persona is false, which is a very weird thing. I 420 00:23:45,200 --> 00:23:47,399 Speaker 1: don't know, because he's from the UK and not this 421 00:23:47,680 --> 00:23:50,960 Speaker 1: Atlanta rap. It's a really really weird story because the 422 00:23:51,119 --> 00:23:54,840 Speaker 1: Ice rarely would comment on anything beyond the facts of 423 00:23:54,920 --> 00:24:02,159 Speaker 1: a detainee Immigration and Customs Enforcement, uh, the unnecessary immigration 424 00:24:02,240 --> 00:24:04,280 Speaker 1: police that have only been around like two thousand three 425 00:24:04,440 --> 00:24:07,440 Speaker 1: and are just meant to harass sort of immigrant populations, 426 00:24:07,880 --> 00:24:09,719 Speaker 1: or if you're on the right, you're like they're enforcing 427 00:24:09,720 --> 00:24:12,680 Speaker 1: our laws for people who come in here the right way. Again, 428 00:24:13,080 --> 00:24:15,560 Speaker 1: the whole there's a lot of just weird stuff around it. 429 00:24:15,600 --> 00:24:17,159 Speaker 1: You know. They want they painted him as like a 430 00:24:17,400 --> 00:24:21,720 Speaker 1: like a convicted felon and all these other things. When 431 00:24:22,040 --> 00:24:23,639 Speaker 1: he was caught up in a drug charge I think 432 00:24:23,680 --> 00:24:25,879 Speaker 1: when he was a miner, but that was expunged from 433 00:24:25,920 --> 00:24:29,760 Speaker 1: his record, and they're holding him without bond, which is 434 00:24:29,960 --> 00:24:33,040 Speaker 1: very bizarre because all of the details around his immigration, 435 00:24:33,560 --> 00:24:37,120 Speaker 1: like most people will have been released at this point, 436 00:24:37,880 --> 00:24:40,879 Speaker 1: because he was actually brought here at like age seven 437 00:24:41,440 --> 00:24:44,200 Speaker 1: and has you know, like like any dreamer would have 438 00:24:44,280 --> 00:24:46,920 Speaker 1: been as a miner, and you know, lost track of 439 00:24:46,960 --> 00:24:49,760 Speaker 1: his visa stuff. He's been applying for a visa. All 440 00:24:49,800 --> 00:24:53,000 Speaker 1: of his family members have like all their h immigration 441 00:24:53,080 --> 00:24:56,560 Speaker 1: status stuff sorted out. He's so he's been known to DHS. 442 00:24:56,640 --> 00:24:58,320 Speaker 1: It's not like he's been sort of trying to like 443 00:24:58,560 --> 00:25:01,640 Speaker 1: skirt the law or anything. He's the process of obtaining 444 00:25:01,680 --> 00:25:04,240 Speaker 1: a visa, which is really strange for them to try 445 00:25:04,320 --> 00:25:07,080 Speaker 1: and detain him. And you know, again when you sort 446 00:25:07,119 --> 00:25:08,760 Speaker 1: of look at sort of what ICE has been up 447 00:25:08,800 --> 00:25:12,000 Speaker 1: to um and like the last year or like ending 448 00:25:12,040 --> 00:25:15,399 Speaker 1: in September of last year, there the ICE ordered about 449 00:25:15,760 --> 00:25:19,879 Speaker 1: you know, close to three thousand deportations and African immigrants 450 00:25:19,960 --> 00:25:23,840 Speaker 1: are representing the biggest proportional spike within this group. And 451 00:25:24,440 --> 00:25:26,760 Speaker 1: I think, you know, this is the ship the whole 452 00:25:26,800 --> 00:25:32,440 Speaker 1: country era of immigration. And there's also elements of retribution 453 00:25:32,600 --> 00:25:35,960 Speaker 1: because five days before he was detained, he was on 454 00:25:36,160 --> 00:25:40,200 Speaker 1: Fallon and was making comments about the border, like border security, 455 00:25:40,320 --> 00:25:42,399 Speaker 1: like the laws that were pursuing are just like what 456 00:25:42,640 --> 00:25:44,240 Speaker 1: you know, He's just he's basically saying like that this 457 00:25:44,320 --> 00:25:46,440 Speaker 1: whole thing is a fucking joke, and like why the 458 00:25:46,480 --> 00:25:49,080 Speaker 1: fund are we focused on this? Also, Flint, Michigan doesn't 459 00:25:49,080 --> 00:25:51,960 Speaker 1: have water. He was just really sort of outspoken about this. 460 00:25:52,440 --> 00:25:54,120 Speaker 1: So a lot of people are like, this is really 461 00:25:54,400 --> 00:25:58,680 Speaker 1: a disproportionate response to what has happened, and I don't know, 462 00:25:58,840 --> 00:26:01,359 Speaker 1: it just sort of seeps into this other thing of 463 00:26:01,480 --> 00:26:06,600 Speaker 1: like America's pattern of questioning and scrutinizing blackness or brownness 464 00:26:06,800 --> 00:26:10,000 Speaker 1: whenever possible to try and discredit it as being American. 465 00:26:10,359 --> 00:26:13,480 Speaker 1: And this is another situation where you have ICE doing 466 00:26:13,520 --> 00:26:16,520 Speaker 1: the thing where they dehumanize someone who's come here from 467 00:26:16,520 --> 00:26:19,640 Speaker 1: another country as dangerous criminal because they're like a convicted 468 00:26:19,680 --> 00:26:22,359 Speaker 1: felone okay, someone who made some dumb mistakes when they 469 00:26:22,400 --> 00:26:25,960 Speaker 1: were a kid. The record is expunged, okay, whatever, then 470 00:26:26,040 --> 00:26:29,720 Speaker 1: also saying that this guy is not who he says 471 00:26:29,760 --> 00:26:32,159 Speaker 1: he is, he's a phony. And again these are just 472 00:26:32,200 --> 00:26:35,520 Speaker 1: sort of ways to question, like is this person can't 473 00:26:35,560 --> 00:26:37,280 Speaker 1: even be American at this point? Yeah, maybe he came 474 00:26:37,400 --> 00:26:38,920 Speaker 1: when he was seven, but he's from the UK, And 475 00:26:38,960 --> 00:26:41,280 Speaker 1: I mean, like this guy's whole personas phony. That's just 476 00:26:41,400 --> 00:26:43,480 Speaker 1: like reeks smacks of like when what they were trying 477 00:26:43,480 --> 00:26:45,600 Speaker 1: to do to Barack Obama to also if he moved 478 00:26:45,640 --> 00:26:47,960 Speaker 1: here when he was seven, those are like the formative years, 479 00:26:48,160 --> 00:26:49,879 Speaker 1: Like I moved to Scotland when I was ten and 480 00:26:49,920 --> 00:26:52,080 Speaker 1: within two weeks I went from being like hell I'm 481 00:26:52,119 --> 00:26:57,479 Speaker 1: English to then like fucking all star okay, hell right right, 482 00:26:57,560 --> 00:27:00,520 Speaker 1: because you will like at stage seven, like wondering he's 483 00:27:00,520 --> 00:27:04,320 Speaker 1: got an American access well exactly, And I mean this 484 00:27:04,520 --> 00:27:07,080 Speaker 1: sort of goes on to the just sort of when 485 00:27:07,119 --> 00:27:12,040 Speaker 1: you think about the conditions of detention for people that 486 00:27:12,119 --> 00:27:14,840 Speaker 1: are caught in the ice snare, the A c. L 487 00:27:14,880 --> 00:27:17,199 Speaker 1: U points out that there are no regulations or real 488 00:27:17,320 --> 00:27:20,720 Speaker 1: standards regarding like enforcement conditions as we've known, because children 489 00:27:20,760 --> 00:27:23,520 Speaker 1: are dying in ice custody and things like that. But again, 490 00:27:23,760 --> 00:27:27,480 Speaker 1: there's this process of dehumanizing immigrants. There's no regulations for 491 00:27:27,600 --> 00:27:29,879 Speaker 1: how they're being detained. And then on top of it, 492 00:27:30,320 --> 00:27:33,600 Speaker 1: Hannah Jorgis in the Atlantic made a really good point 493 00:27:33,640 --> 00:27:35,320 Speaker 1: about just sort of this is an extension of the 494 00:27:35,400 --> 00:27:38,280 Speaker 1: myriad of ways that black and brown people are d 495 00:27:38,480 --> 00:27:43,600 Speaker 1: citizens essentially, whether it's through this overt process of ice 496 00:27:43,680 --> 00:27:45,480 Speaker 1: coming through and being like we're your papers, let me 497 00:27:45,480 --> 00:27:47,400 Speaker 1: see your papers, where were you born, how long you've 498 00:27:47,400 --> 00:27:49,119 Speaker 1: been here, how did you get here kind of thing, 499 00:27:49,600 --> 00:27:52,920 Speaker 1: or if it's the terror of racism, uh, and being 500 00:27:53,040 --> 00:27:56,520 Speaker 1: terrorized by racism to chase us out of neighborhoods or 501 00:27:56,560 --> 00:27:58,760 Speaker 1: areas to not feel welcome. This is just sort of 502 00:27:58,840 --> 00:28:01,119 Speaker 1: part and parcel of, you know, kind of what's on 503 00:28:01,320 --> 00:28:04,040 Speaker 1: brand for America in terms of being you know, black 504 00:28:04,119 --> 00:28:07,239 Speaker 1: and brown and even yeah, even if you're even if 505 00:28:07,240 --> 00:28:11,640 Speaker 1: you're a celebrity, even if you're the president. There's no height, 506 00:28:11,960 --> 00:28:14,640 Speaker 1: there's no height you can attain. And you were legitimately 507 00:28:14,720 --> 00:28:17,760 Speaker 1: born here, and you show your birth certificate to the 508 00:28:18,040 --> 00:28:21,200 Speaker 1: entire country, they're going to try to say that you're 509 00:28:21,280 --> 00:28:25,200 Speaker 1: from a different country here. I had something be like, oh, 510 00:28:25,359 --> 00:28:28,160 Speaker 1: you foreigner Brits coming out here taking our acting jobs. 511 00:28:28,200 --> 00:28:33,159 Speaker 1: I'm like, your last name is O'Brien. It was before 512 00:28:33,280 --> 00:28:36,720 Speaker 1: we started recording, and I was like, well, you're you're 513 00:28:36,720 --> 00:28:39,160 Speaker 1: an Irish person by descend, Like yeah, but you're Fari 514 00:28:39,160 --> 00:28:40,640 Speaker 1: And I'm like, because I have an accent, I'm like 515 00:28:40,680 --> 00:28:45,800 Speaker 1: I'm American, Like yeah. It's really funny, the whole idea 516 00:28:45,880 --> 00:28:49,520 Speaker 1: of what nationality even means and things like that, and 517 00:28:49,600 --> 00:28:53,040 Speaker 1: it's again, it starts off being funny on Twitter as 518 00:28:53,120 --> 00:28:55,680 Speaker 1: like banter, you know, and I'm not even sure most 519 00:28:55,720 --> 00:28:58,720 Speaker 1: people still realize how serious the situation is, because there's 520 00:28:58,800 --> 00:29:01,640 Speaker 1: really not. When a lawyers, you know, they put out 521 00:29:01,640 --> 00:29:04,080 Speaker 1: a statement that really goes into a lot of the 522 00:29:04,160 --> 00:29:06,960 Speaker 1: ways that Ice has been just sort of misconstruing the 523 00:29:07,120 --> 00:29:10,400 Speaker 1: entire situation to fit some narrative of how this is justified. 524 00:29:10,640 --> 00:29:13,120 Speaker 1: And it seems like every turn from where he's at 525 00:29:13,160 --> 00:29:16,040 Speaker 1: in his visa application and things like that, that there's 526 00:29:16,080 --> 00:29:18,440 Speaker 1: really no reason for this, especially to be held without bond. 527 00:29:18,680 --> 00:29:20,680 Speaker 1: And he's on like twenty three one, like he's locked 528 00:29:20,720 --> 00:29:25,320 Speaker 1: down twenty three hours. Yes, And it's very clearly about 529 00:29:25,440 --> 00:29:28,520 Speaker 1: him going on Kimmel and saying things about Ice like, 530 00:29:29,000 --> 00:29:32,719 Speaker 1: I mean they I'm sure journalists can't be like obviously 531 00:29:32,880 --> 00:29:36,560 Speaker 1: it's that, but that's clearly what it is because he 532 00:29:37,000 --> 00:29:39,520 Speaker 1: did that five days ago. He's been in touch with them, 533 00:29:39,560 --> 00:29:42,720 Speaker 1: They've known where he was for years now, like he's 534 00:29:42,760 --> 00:29:45,480 Speaker 1: in Atlanta right before the Super Bowls in Atlanta. They 535 00:29:45,520 --> 00:29:47,840 Speaker 1: could have arrested him at any point, but it's five 536 00:29:47,880 --> 00:29:49,760 Speaker 1: days after he goes on Kimmela and says that, and 537 00:29:49,920 --> 00:29:53,800 Speaker 1: then they have a statement about how like he's persona 538 00:29:53,960 --> 00:29:56,840 Speaker 1: is public, Like what the funk are you like writing 539 00:29:56,960 --> 00:30:00,400 Speaker 1: for the source or something like? That's such a weird 540 00:30:00,520 --> 00:30:03,520 Speaker 1: like were we actually try and figure out who's actually hood? 541 00:30:05,160 --> 00:30:08,240 Speaker 1: That's ICE's place to make that comment. It's just so 542 00:30:09,040 --> 00:30:14,000 Speaker 1: like petty and vindictive and shitty and just racist. So yeah, 543 00:30:15,640 --> 00:30:18,880 Speaker 1: go do one. I speaking of all of those adjectives, 544 00:30:18,960 --> 00:30:24,720 Speaker 1: Tucker Carlson was early in January actually on his show, 545 00:30:25,440 --> 00:30:30,320 Speaker 1: gave a monologue where if you were watching or you 546 00:30:30,480 --> 00:30:33,560 Speaker 1: saw a clip of it, you might have felt like 547 00:30:33,640 --> 00:30:36,960 Speaker 1: you were having a stroke because he just like suddenly started. 548 00:30:37,360 --> 00:30:40,040 Speaker 1: It was like there's a truth translator on him or 549 00:30:40,160 --> 00:30:41,880 Speaker 1: something like the ship that he was saying in a 550 00:30:41,960 --> 00:30:44,920 Speaker 1: lot of cases, So he basically said, our our leaders 551 00:30:45,240 --> 00:30:47,240 Speaker 1: or heat. This is a this is a quote. He 552 00:30:47,320 --> 00:30:50,480 Speaker 1: didn't basically say this. This is what he literally said. 553 00:30:50,920 --> 00:30:53,600 Speaker 1: Our leaders don't care. We are ruled by mercenaries who 554 00:30:53,680 --> 00:30:56,240 Speaker 1: feel no long term obligation to the people they rule. 555 00:30:56,400 --> 00:31:00,320 Speaker 1: Their day traders, substitute teachers. They're just passing through. They 556 00:31:00,360 --> 00:31:02,239 Speaker 1: have no skin in the game, and it shows they 557 00:31:02,320 --> 00:31:05,040 Speaker 1: can't solve our problems. They don't even bother and understand 558 00:31:05,120 --> 00:31:08,120 Speaker 1: our problems. The idea that families are being crushed by 559 00:31:08,200 --> 00:31:11,400 Speaker 1: market forces seems never to occur to them. They refuse 560 00:31:11,480 --> 00:31:15,680 Speaker 1: to consider it. Questioning markets feels like apostasy. Both sides 561 00:31:15,760 --> 00:31:20,880 Speaker 1: missed the obvious point. Culture and economics are inseparably intertwined. Huh. 562 00:31:21,800 --> 00:31:25,720 Speaker 1: Certain economic systems allow families to thrive. Thriving families make 563 00:31:25,800 --> 00:31:29,360 Speaker 1: market economy as possible. You think our ruling class would 564 00:31:29,360 --> 00:31:32,080 Speaker 1: be interested in knowing the answer, but mostly they're not. 565 00:31:32,760 --> 00:31:36,920 Speaker 1: It's interesting that he focused on like substitute teachers, but 566 00:31:37,040 --> 00:31:41,680 Speaker 1: basically he's making a critique of market capitalism as not 567 00:31:42,000 --> 00:31:45,960 Speaker 1: just a like tool that helps. But read that quote 568 00:31:46,000 --> 00:31:47,959 Speaker 1: that When you think about this quote as coming out 569 00:31:48,000 --> 00:31:50,000 Speaker 1: of Tucker Carlson's mouth, they think it makes this point. 570 00:31:50,040 --> 00:31:52,920 Speaker 1: But first Republican leaders will have to acknowledge that market 571 00:31:53,040 --> 00:31:56,200 Speaker 1: capitalism is not a religious I'm sorry, Tucker Carlson just 572 00:31:56,320 --> 00:31:59,840 Speaker 1: said that talism is a tool like a staple gun 573 00:32:00,080 --> 00:32:02,040 Speaker 1: or a toaster. You'd have to be a fool to 574 00:32:02,160 --> 00:32:07,840 Speaker 1: worship it. What Fox News excuse me is Alexandria Occagio 575 00:32:07,920 --> 00:32:12,400 Speaker 1: Cortez writing for Tucker Carlson. Right, It's very surprising in 576 00:32:12,440 --> 00:32:15,320 Speaker 1: a lot of ways, but I mean, this is what 577 00:32:15,920 --> 00:32:20,520 Speaker 1: Trump got elected on, partially is kind of economic populism, 578 00:32:20,600 --> 00:32:24,440 Speaker 1: just basically saying that there are billionaires out there who 579 00:32:24,480 --> 00:32:28,000 Speaker 1: are you know, and just corporations and you know, the 580 00:32:28,120 --> 00:32:31,360 Speaker 1: one percent who are holding working people down. He just 581 00:32:31,520 --> 00:32:35,440 Speaker 1: happened to pair that with racism, and then he also 582 00:32:35,600 --> 00:32:39,120 Speaker 1: happened to not follow through on that and actually follow 583 00:32:39,240 --> 00:32:41,760 Speaker 1: through with economic policies that are the opposite of that, 584 00:32:41,960 --> 00:32:44,600 Speaker 1: that are specifically designed to keep that in place. But 585 00:32:45,240 --> 00:32:49,320 Speaker 1: it does seem like people on both sides are going 586 00:32:49,440 --> 00:32:53,240 Speaker 1: to eventually come around to the fact that the truth, 587 00:32:53,360 --> 00:32:56,920 Speaker 1: I guess is that the system ships fucked. And I 588 00:32:57,000 --> 00:32:58,560 Speaker 1: think I was going to say that after the State 589 00:32:58,560 --> 00:33:00,920 Speaker 1: of the Union. But whoever is running in twenty just 590 00:33:01,040 --> 00:33:04,000 Speaker 1: needs to have the slogan, shit's fucked and we gotta 591 00:33:04,040 --> 00:33:06,600 Speaker 1: do something. And that applies to the left or the right, 592 00:33:06,680 --> 00:33:09,120 Speaker 1: you can figure. I think a lot of people. I mean, 593 00:33:09,200 --> 00:33:11,440 Speaker 1: I think some people are still willing to do some 594 00:33:11,600 --> 00:33:14,480 Speaker 1: mental gymnastics and being denial that their situation has anything 595 00:33:14,480 --> 00:33:16,480 Speaker 1: to do with capitalism. But I think a lot of 596 00:33:16,520 --> 00:33:19,080 Speaker 1: people do feel that way. But it's odd too, because 597 00:33:19,480 --> 00:33:22,360 Speaker 1: Donald Trump has now trying to, at least with the 598 00:33:22,360 --> 00:33:24,800 Speaker 1: State of the Union, almost try and slightly frame it 599 00:33:24,880 --> 00:33:28,960 Speaker 1: as capitalism verse socialism, because he said America will never 600 00:33:29,160 --> 00:33:33,080 Speaker 1: be a socialist country. But that's a slippery slope, my man, 601 00:33:33,360 --> 00:33:35,720 Speaker 1: because on one end, you can use that to, you know, 602 00:33:36,080 --> 00:33:38,040 Speaker 1: say like, oh, look at the economy, like let's keep 603 00:33:38,040 --> 00:33:39,760 Speaker 1: it going in this way. But a lot of people 604 00:33:39,840 --> 00:33:41,800 Speaker 1: are also of the mindset that the way things are 605 00:33:41,840 --> 00:33:45,120 Speaker 1: going are not good enough and are actually contributing to 606 00:33:45,440 --> 00:33:48,920 Speaker 1: the disproportionate UH incomes and things like that an opportunity 607 00:33:49,000 --> 00:33:51,600 Speaker 1: for You're seeing this on both sides with regards to 608 00:33:51,720 --> 00:33:56,600 Speaker 1: like mainstream like neoliberal democratic things. The people who used 609 00:33:56,640 --> 00:34:01,280 Speaker 1: to be neoliberal like market worshiping democrats are now you know, 610 00:34:01,440 --> 00:34:04,680 Speaker 1: all supporting medicare for all. And there's been this left 611 00:34:04,720 --> 00:34:09,680 Speaker 1: word shift to a policy that was, you know, proposed 612 00:34:09,719 --> 00:34:12,560 Speaker 1: by Bernie Sanders who in two thousands sixteen was seen 613 00:34:12,600 --> 00:34:17,000 Speaker 1: as like this crazy outside the box like leftist socialist, 614 00:34:17,080 --> 00:34:19,200 Speaker 1: which he you know, he is a socialist, but that 615 00:34:19,400 --> 00:34:23,719 Speaker 1: was seen as wild and I'm just curious now the 616 00:34:23,800 --> 00:34:27,200 Speaker 1: way it's manifesting itself on the right is Tucker Carlson's monologue. 617 00:34:27,440 --> 00:34:31,800 Speaker 1: But like, what is there? What is the rights version 618 00:34:32,080 --> 00:34:35,759 Speaker 1: of medicare for all and having a stronger social safety net? 619 00:34:36,040 --> 00:34:38,880 Speaker 1: I don't know. Is it just authoritarianism? Is it just 620 00:34:39,080 --> 00:34:43,840 Speaker 1: like we should take over? And I don't I'm not 621 00:34:44,120 --> 00:34:47,000 Speaker 1: sure what their answer is, because if you're gonna acknowledge 622 00:34:47,160 --> 00:34:51,160 Speaker 1: the you know, inequality, there's no way to really do 623 00:34:51,360 --> 00:34:54,000 Speaker 1: that through a capitalist lens at the moment or at 624 00:34:54,080 --> 00:34:59,359 Speaker 1: least the market based solutions aren't very effective what we've seen, 625 00:34:59,640 --> 00:35:02,080 Speaker 1: like you, especially like when you talk about healthcare, like 626 00:35:02,760 --> 00:35:05,080 Speaker 1: they tried to do a market based sort of way 627 00:35:05,160 --> 00:35:06,840 Speaker 1: to be like, Okay, what's the market how can we 628 00:35:06,880 --> 00:35:09,960 Speaker 1: sort of work within that to make something work? And 629 00:35:10,080 --> 00:35:12,640 Speaker 1: it didn't it's or it's very there's a lot of 630 00:35:12,719 --> 00:35:16,279 Speaker 1: flaws in it that still benefit the market forces. So 631 00:35:16,880 --> 00:35:19,920 Speaker 1: I don't know, I don't know. I don't know. I 632 00:35:19,960 --> 00:35:22,480 Speaker 1: don't know how the right can own it without sort 633 00:35:22,520 --> 00:35:24,960 Speaker 1: of also being like, yeah, actually we we focus on 634 00:35:25,080 --> 00:35:27,200 Speaker 1: with them too, like we do need to address this 635 00:35:27,239 --> 00:35:28,879 Speaker 1: stuff because I don't know what what are you gonna 636 00:35:28,920 --> 00:35:32,160 Speaker 1: tell billionaires that like, hey, can you guys just like 637 00:35:32,560 --> 00:35:35,640 Speaker 1: start little fun companies for people to work at? And 638 00:35:35,840 --> 00:35:37,120 Speaker 1: you know what, I like, I don't know. It's so 639 00:35:37,239 --> 00:35:40,280 Speaker 1: interesting as well, like the cultural difference, like my mom's Norwegians, 640 00:35:40,320 --> 00:35:42,800 Speaker 1: so they in Norway, you you know, you have the 641 00:35:42,880 --> 00:35:46,239 Speaker 1: ten commandments. The ten commandments here are like you must 642 00:35:46,280 --> 00:35:48,640 Speaker 1: not be bad to your neighbor. Or in Norway they 643 00:35:48,640 --> 00:35:54,000 Speaker 1: have a thing called which their tank. Their tank commendments 644 00:35:54,040 --> 00:35:56,719 Speaker 1: are you must not think you're better than anybody. You 645 00:35:56,840 --> 00:35:58,960 Speaker 1: must not stand out from the crowd. You must not 646 00:35:59,080 --> 00:36:01,279 Speaker 1: think you have anything like teach the crowd or show 647 00:36:01,360 --> 00:36:05,960 Speaker 1: the crowd. So their philosophy and you know upbringing is 648 00:36:06,040 --> 00:36:10,040 Speaker 1: so socialist, whereas in America, the it's like you can 649 00:36:10,120 --> 00:36:12,160 Speaker 1: do it, live your dreams, you know. So it's it's 650 00:36:12,200 --> 00:36:16,440 Speaker 1: almost like you can't be uh, you know, the amongst 651 00:36:16,480 --> 00:36:19,040 Speaker 1: the puppies, Like you have to be this whole puppy. Right. Yeah. 652 00:36:19,120 --> 00:36:22,080 Speaker 1: And we've talked before about the study that showed a 653 00:36:22,440 --> 00:36:25,399 Speaker 1: fish that was like separated from a school of fish. 654 00:36:25,880 --> 00:36:29,120 Speaker 1: And in other countries they're like, oh, that fish is fucked. 655 00:36:29,200 --> 00:36:33,239 Speaker 1: It's like being isolated it did something bad. And in 656 00:36:33,360 --> 00:36:36,960 Speaker 1: America they're like, there's the leader. That's the George Washington fish. 657 00:36:38,080 --> 00:36:42,120 Speaker 1: You know. Yeah, I think that's absolutely true of just 658 00:36:42,280 --> 00:36:45,560 Speaker 1: how we process things. And I'm actually really eager to 659 00:36:45,640 --> 00:36:48,799 Speaker 1: get your thoughts on this next story because a big 660 00:36:49,080 --> 00:36:52,640 Speaker 1: thing that if you're kind of paying attention to the 661 00:36:52,760 --> 00:36:55,359 Speaker 1: weeds of you know, all the people who are coming 662 00:36:55,400 --> 00:36:59,879 Speaker 1: out and declaring for the Democratic nomination for a big 663 00:37:00,440 --> 00:37:04,160 Speaker 1: argument that's taking place is, like we just mentioned, everybody 664 00:37:04,280 --> 00:37:06,959 Speaker 1: is now saying there for medicare for all, and in fact, 665 00:37:07,080 --> 00:37:12,360 Speaker 1: like specifically aligning themselves with Bernie Sanders policy. But there's 666 00:37:12,440 --> 00:37:16,120 Speaker 1: this question of whether it is, you know, a Medicare 667 00:37:16,200 --> 00:37:20,200 Speaker 1: for all where you do away with the entire private 668 00:37:20,320 --> 00:37:24,280 Speaker 1: insurance industry, which is like a multi trillion dollar industry. 669 00:37:24,760 --> 00:37:26,960 Speaker 1: Like that's basically what Bernie Sanders is calling for, and 670 00:37:27,080 --> 00:37:30,680 Speaker 1: that's what leftists are calling for, whereas neoliberals who are 671 00:37:30,719 --> 00:37:33,440 Speaker 1: saying there for Medicare for all seem a little bit 672 00:37:33,560 --> 00:37:36,200 Speaker 1: more wobbly on that. They're more like, well, you can 673 00:37:36,400 --> 00:37:41,360 Speaker 1: keep the private insurance industry, but then everybody would have 674 00:37:41,560 --> 00:37:45,239 Speaker 1: access to medicare. But leftists point that they're making is 675 00:37:45,320 --> 00:37:48,120 Speaker 1: that if you have a multi trillion dollar industry in 676 00:37:48,239 --> 00:37:52,080 Speaker 1: the United States, it's going to suffocate, like that public option, 677 00:37:52,280 --> 00:37:57,080 Speaker 1: it's going to keep lobbying, keep you know, hammering at 678 00:37:57,120 --> 00:38:00,480 Speaker 1: it until Medicare for all isn't a very good option. Yeah, 679 00:38:01,040 --> 00:38:03,879 Speaker 1: well that's with the NHS and the UK. Everyone keeps saying, oh, 680 00:38:04,000 --> 00:38:07,960 Speaker 1: the NHS is suffering, and oh it's the NHS isn't working, 681 00:38:08,360 --> 00:38:11,520 Speaker 1: but it's because they keep cutting the funding. And for 682 00:38:11,640 --> 00:38:14,000 Speaker 1: me personally, I think it's a fantastic thing and I 683 00:38:14,080 --> 00:38:16,960 Speaker 1: think they do a great job of what they have. Um. 684 00:38:17,520 --> 00:38:20,880 Speaker 1: And I'm so grateful for free healthcare. Um. And I 685 00:38:20,920 --> 00:38:22,360 Speaker 1: feel like any time I'm out here and I'm just 686 00:38:22,440 --> 00:38:24,600 Speaker 1: at stand up clubs, like telling the audience my health 687 00:38:24,600 --> 00:38:26,080 Speaker 1: issue because I'm like too scared to go to a 688 00:38:26,160 --> 00:38:32,760 Speaker 1: doctor right here, anyone a doctor? Yea. So around this growth, 689 00:38:35,120 --> 00:38:39,000 Speaker 1: NHS is your national healthcare service, national health service. And 690 00:38:39,200 --> 00:38:42,440 Speaker 1: when they're cutting the funding, is it the Conservatives who 691 00:38:42,520 --> 00:38:45,080 Speaker 1: are basically like, this is we need more of a 692 00:38:45,120 --> 00:38:49,280 Speaker 1: private ary keep saying exact We've had I mean Theresa 693 00:38:49,360 --> 00:38:51,480 Speaker 1: May and then it was David Cameron and and it's 694 00:38:51,480 --> 00:38:53,360 Speaker 1: like yeah, they keep saying, oh, we need to go private. 695 00:38:53,440 --> 00:38:56,359 Speaker 1: It's like yeah, because you keep cutting the funding, right right, 696 00:38:56,400 --> 00:38:58,520 Speaker 1: you're creating the situation. Yeah. I mean, I think that's 697 00:38:58,560 --> 00:39:01,200 Speaker 1: the thing is there's on inside. Yeah, I see the 698 00:39:01,320 --> 00:39:03,640 Speaker 1: argument to say, like, yo, let's do away with all 699 00:39:03,640 --> 00:39:06,239 Speaker 1: the private insurers. But then you have it's a very 700 00:39:06,360 --> 00:39:09,400 Speaker 1: tough political battle, right because when you look at the 701 00:39:09,800 --> 00:39:12,960 Speaker 1: a lot of the polling people they like the concept 702 00:39:13,320 --> 00:39:15,920 Speaker 1: of medicare for all, right, but when you actually go 703 00:39:16,080 --> 00:39:18,279 Speaker 1: into the mechanics of it, they're like, okay, well, then 704 00:39:18,320 --> 00:39:19,600 Speaker 1: how do you feel about it if we did it 705 00:39:19,640 --> 00:39:22,080 Speaker 1: and we got rid of your private insurance. But the 706 00:39:22,920 --> 00:39:26,160 Speaker 1: support drops down under thirty under forty, So the it's 707 00:39:26,239 --> 00:39:29,080 Speaker 1: guarantee health insurance as a right for all Americans seventy 708 00:39:29,120 --> 00:39:33,640 Speaker 1: one percent. Eliminate all health insurance premiums and reduce out 709 00:39:33,680 --> 00:39:37,040 Speaker 1: of pocket healthcare costs for most Americans sixty seven eliminate 710 00:39:37,160 --> 00:39:41,480 Speaker 1: private health insurance companies. Thirty seven percent favorite, And do 711 00:39:41,560 --> 00:39:44,600 Speaker 1: you favor or oppose having a national health plan? It's 712 00:39:44,680 --> 00:39:47,439 Speaker 1: fifty six and that's so that's the number fifty six, 713 00:39:47,600 --> 00:39:52,239 Speaker 1: and a majority supports, you know, a national healthcare plan, 714 00:39:52,360 --> 00:39:55,200 Speaker 1: which people are equating with with Medicare for all. But 715 00:39:55,440 --> 00:40:01,200 Speaker 1: what the interpretation of that is is a much trickier question. 716 00:40:01,560 --> 00:40:04,879 Speaker 1: And I've heard it argued, you know, both sides. I've 717 00:40:04,920 --> 00:40:07,480 Speaker 1: also heard people say, well, none of this is happening 718 00:40:07,520 --> 00:40:11,439 Speaker 1: in one So let's not make this the litmus test 719 00:40:11,520 --> 00:40:15,840 Speaker 1: where you just disqualify candidates because you're not going to 720 00:40:16,400 --> 00:40:20,080 Speaker 1: be able to put Bernie's vision in place in a 721 00:40:20,200 --> 00:40:23,439 Speaker 1: single year. So let's just you know, there are other 722 00:40:23,719 --> 00:40:27,239 Speaker 1: socialists values that can be put into place that are 723 00:40:27,320 --> 00:40:30,839 Speaker 1: more realistic. This does seem to be a place where 724 00:40:31,000 --> 00:40:34,400 Speaker 1: the rubber is hitting the road in terms of leftists, 725 00:40:34,560 --> 00:40:38,359 Speaker 1: first neoliberals. Basically, yeah, it's one of those things, right 726 00:40:38,400 --> 00:40:41,760 Speaker 1: Like Obama Care was trying to address it, but because 727 00:40:41,840 --> 00:40:46,520 Speaker 1: it took into consideration the market and the private insurance companies, 728 00:40:46,600 --> 00:40:49,000 Speaker 1: it just turned into this thing that wasn't really what 729 00:40:49,160 --> 00:40:52,560 Speaker 1: it was intended to. It was written by private insurance companies. 730 00:40:52,600 --> 00:40:56,920 Speaker 1: It's a CEO from a private insurance company, and it's like, right, 731 00:40:57,040 --> 00:40:59,880 Speaker 1: turn this up. Yes, And I think that's why some 732 00:41:00,080 --> 00:41:02,440 Speaker 1: people like it has to be all or none, right, 733 00:41:02,560 --> 00:41:04,800 Speaker 1: you know, And that's where it gets tricky because it 734 00:41:04,960 --> 00:41:07,120 Speaker 1: is such a huge industry. You have people who are 735 00:41:07,160 --> 00:41:10,040 Speaker 1: employed by these insurance companies. What are the mechanics of 736 00:41:10,120 --> 00:41:12,719 Speaker 1: trying to make that work? And it's one of those 737 00:41:12,760 --> 00:41:15,279 Speaker 1: things where I think the sentiment is there, but we 738 00:41:15,360 --> 00:41:18,200 Speaker 1: really have to really think about the creative ways that 739 00:41:18,280 --> 00:41:20,920 Speaker 1: we can actually get people to not have a reaction 740 00:41:20,920 --> 00:41:22,640 Speaker 1: to be like, oh, I'm gonna lose my private health 741 00:41:22,680 --> 00:41:24,520 Speaker 1: insurance because a lot of people who can afford their 742 00:41:24,560 --> 00:41:28,080 Speaker 1: own insurance. I think most people who are fortunate enough 743 00:41:28,080 --> 00:41:30,959 Speaker 1: to pay for or have employee provided insurance or whatever 744 00:41:31,200 --> 00:41:35,000 Speaker 1: employer provide insurance are fine with that, but it's right 745 00:41:35,080 --> 00:41:36,719 Speaker 1: when the second it starts being like, well we would 746 00:41:36,719 --> 00:41:39,080 Speaker 1: have to do away with that, you start losing support 747 00:41:39,160 --> 00:41:40,840 Speaker 1: and navigating that I think is going to be the 748 00:41:40,920 --> 00:41:44,359 Speaker 1: toughest thing. I just heard about that guy the UM 749 00:41:44,920 --> 00:41:51,719 Speaker 1: change the price from HIV medication to seven Yeah. Yeah. 750 00:41:53,840 --> 00:41:57,719 Speaker 1: The amazing thing about that is when you asked perfectly 751 00:41:57,920 --> 00:42:01,960 Speaker 1: rational people uh about that, who are like work in 752 00:42:02,040 --> 00:42:04,160 Speaker 1: the markets, They're like, yeah, but what he's doing is 753 00:42:04,239 --> 00:42:06,719 Speaker 1: just that's logical. That's what you have to do. That's 754 00:42:06,760 --> 00:42:11,920 Speaker 1: what the market dictates. And it's like them with the market. 755 00:42:12,239 --> 00:42:15,359 Speaker 1: The market doesn't work, then it doesn't take humanity into 756 00:42:15,400 --> 00:42:17,719 Speaker 1: a credit. It just takes into how do I pump 757 00:42:17,800 --> 00:42:22,480 Speaker 1: up these profits. So in England and France, in Canada, 758 00:42:23,200 --> 00:42:27,480 Speaker 1: and I think in most Scandinavian countries there are private 759 00:42:27,840 --> 00:42:32,480 Speaker 1: insurance companies. Uh. They are sort of niche things for 760 00:42:32,800 --> 00:42:36,040 Speaker 1: very wealthy people of means. And the point is that 761 00:42:36,320 --> 00:42:40,880 Speaker 1: it's not the main thing, the private insurance supplement. It's supplemental. 762 00:42:41,040 --> 00:42:44,000 Speaker 1: It's not a multi trillion dollar industry. To get the 763 00:42:44,320 --> 00:42:49,000 Speaker 1: United States private health insurance industry down to the sizes 764 00:42:49,120 --> 00:42:54,120 Speaker 1: of those would require a thing that is completely unnatural 765 00:42:54,280 --> 00:43:00,800 Speaker 1: to America and to markets. Basically is the issues. So actually, Katia, 766 00:43:01,120 --> 00:43:04,799 Speaker 1: so in England and this is just like genuine curiosity. 767 00:43:05,360 --> 00:43:10,320 Speaker 1: Is being a doctor a prestigious like career and is 768 00:43:10,400 --> 00:43:13,359 Speaker 1: it like a one that you people are like, oh, 769 00:43:13,760 --> 00:43:17,520 Speaker 1: he's a doctor, he does well like doctor lawyer going 770 00:43:17,560 --> 00:43:19,719 Speaker 1: into medicine or law those are the still the same, 771 00:43:19,880 --> 00:43:23,520 Speaker 1: like yeah? And is the health care like do you 772 00:43:23,680 --> 00:43:28,839 Speaker 1: have generally good experiences with healthcare? Like if I personally do, yeah, 773 00:43:29,120 --> 00:43:32,239 Speaker 1: I M. I know that I've heard that because I 774 00:43:32,360 --> 00:43:34,799 Speaker 1: live in London when I'm in the UK, that being 775 00:43:34,880 --> 00:43:38,640 Speaker 1: in London you you're more likely to be seen quicker 776 00:43:38,719 --> 00:43:40,680 Speaker 1: by the doctors for some reason. Then if you live 777 00:43:40,719 --> 00:43:44,279 Speaker 1: in the countryside, like in a suburban rural area, supposedly 778 00:43:44,440 --> 00:43:49,160 Speaker 1: there either maybe understaffed or um they're not able to 779 00:43:49,239 --> 00:43:51,680 Speaker 1: get the prescriptions that you might need. That's just what 780 00:43:51,760 --> 00:43:54,560 Speaker 1: I've heard. But I generally have had a really good experience. 781 00:43:55,120 --> 00:43:58,960 Speaker 1: But I have had situations where, especially if I've needed 782 00:43:59,000 --> 00:44:00,960 Speaker 1: something and I'm like, oh, I'm going out to America 783 00:44:01,600 --> 00:44:03,840 Speaker 1: and two weeks and they're like, well, on the NHS, 784 00:44:03,920 --> 00:44:06,040 Speaker 1: we won't be able to get that done for you, 785 00:44:06,440 --> 00:44:08,839 Speaker 1: so I have to go privately to get something dealt 786 00:44:08,880 --> 00:44:15,320 Speaker 1: with before and yeah, um yeah. And the question of 787 00:44:15,760 --> 00:44:17,839 Speaker 1: how the system would be set up, what the role 788 00:44:17,880 --> 00:44:22,120 Speaker 1: of private insurance companies would be, that is something that 789 00:44:22,440 --> 00:44:26,120 Speaker 1: you would expect all the Democratic candidates to have nuanced 790 00:44:26,280 --> 00:44:29,440 Speaker 1: ideas on and nuanced positions on, and they haven't. And 791 00:44:29,560 --> 00:44:31,920 Speaker 1: that's been a well that's the thing. Everyone just like, yeah, 792 00:44:32,000 --> 00:44:34,560 Speaker 1: y'all funk with this, right, Yeah right, how are you 793 00:44:34,600 --> 00:44:38,680 Speaker 1: gonna do it? Fun? Right? Yeah right? Because this is 794 00:44:39,120 --> 00:44:42,399 Speaker 1: people like the politics of it, you know, but it's 795 00:44:42,440 --> 00:44:44,080 Speaker 1: the when you get down to the nitty gritty of 796 00:44:44,160 --> 00:44:46,560 Speaker 1: the policy. That's what we're going to start seeing, you know. 797 00:44:47,080 --> 00:44:50,640 Speaker 1: But hair fly from a user perspective, from a consumer perspective, 798 00:44:50,719 --> 00:44:53,960 Speaker 1: from the people's perspective, that is, the ideal is you 799 00:44:54,160 --> 00:44:58,000 Speaker 1: shrink the private insurance industry down to something that is 800 00:44:58,600 --> 00:45:02,640 Speaker 1: there if you need it, if the publicly available system 801 00:45:02,920 --> 00:45:05,800 Speaker 1: is not filling a need, like it's not getting you 802 00:45:05,920 --> 00:45:08,600 Speaker 1: the medicine quickly enough and you have to pay extra 803 00:45:08,800 --> 00:45:13,280 Speaker 1: because it is a private insurer, but it's not catering 804 00:45:13,400 --> 00:45:16,560 Speaker 1: to the needs of For instance, there was a leaked 805 00:45:16,920 --> 00:45:21,480 Speaker 1: slide presentation that the intercept published recently that was one 806 00:45:21,520 --> 00:45:26,120 Speaker 1: of Nancy Pelosi's main aids, basically presenting to the head 807 00:45:26,200 --> 00:45:30,000 Speaker 1: of Blue Cross Blue Shield and being like, look, we're 808 00:45:30,040 --> 00:45:31,800 Speaker 1: going to find a way to kill this Medicare for 809 00:45:31,920 --> 00:45:35,920 Speaker 1: all things because Blue Cross Blue Shield and big companies 810 00:45:36,000 --> 00:45:40,359 Speaker 1: like that Kaiser and you know, giant corporations are going 811 00:45:40,440 --> 00:45:44,080 Speaker 1: to do everything in their power to make it so 812 00:45:44,160 --> 00:45:45,960 Speaker 1: they don't have to shrink at all. Yeah. Well, that's 813 00:45:46,000 --> 00:45:49,200 Speaker 1: the problem with healthcare overhaul or healthcare reform in the 814 00:45:49,280 --> 00:45:52,799 Speaker 1: country is that it's such a moneyed industry. You're trying 815 00:45:52,880 --> 00:45:56,719 Speaker 1: to take down a gigantic industry. And then also you 816 00:45:56,800 --> 00:46:00,640 Speaker 1: have people who inherently are a little suspicious when the 817 00:46:00,719 --> 00:46:02,400 Speaker 1: government's trying to be like, oh, we have something for 818 00:46:02,440 --> 00:46:05,560 Speaker 1: you that's gonna work. So there's a lot of hearts 819 00:46:05,600 --> 00:46:07,840 Speaker 1: and minds that have to be changed really for it 820 00:46:07,960 --> 00:46:10,040 Speaker 1: to kind of have that meaningful change. And I hope 821 00:46:10,080 --> 00:46:12,359 Speaker 1: someone is able to communicate those ideas in a way 822 00:46:12,440 --> 00:46:15,440 Speaker 1: that can you know, get more support behind it. But yeah, 823 00:46:15,480 --> 00:46:18,120 Speaker 1: it's just it's just going to be a very very interesting, 824 00:46:18,280 --> 00:46:21,840 Speaker 1: difficult debate because of you know, just the state of 825 00:46:22,120 --> 00:46:24,200 Speaker 1: the industry in the state of how lobbying and all 826 00:46:24,239 --> 00:46:26,320 Speaker 1: that works in this country. And like you said, Obama 827 00:46:26,600 --> 00:46:31,839 Speaker 1: had a public option in Obamacare until the very last 828 00:46:31,960 --> 00:46:35,200 Speaker 1: round of revisions, and then it got crushed by the 829 00:46:35,680 --> 00:46:40,680 Speaker 1: private insurance interests. And even if it had lasted, I mean, 830 00:46:41,239 --> 00:46:44,520 Speaker 1: you still would have had these markets where it probably 831 00:46:44,800 --> 00:46:48,480 Speaker 1: they found ways to regulate it, and the insurance companies 832 00:46:48,520 --> 00:46:50,640 Speaker 1: have stand a chance. They found a way to thrive 833 00:46:50,760 --> 00:46:54,000 Speaker 1: despite all that anyway, So that's you know, yeah, I 834 00:46:54,040 --> 00:46:56,880 Speaker 1: mean the main issue is America's like down to the 835 00:46:57,000 --> 00:46:59,520 Speaker 1: level of d n A like at a very cellular level, 836 00:46:59,560 --> 00:47:03,080 Speaker 1: America is organized on a principle of market economics, and 837 00:47:03,400 --> 00:47:07,120 Speaker 1: you're asking for them to change one of their largest 838 00:47:07,200 --> 00:47:11,560 Speaker 1: industries into something that doesn't function in like by that 839 00:47:11,760 --> 00:47:15,200 Speaker 1: logic at all, and it's gonna be tricky. But again, 840 00:47:15,600 --> 00:47:18,759 Speaker 1: the people are starting to come around. I mean, what 841 00:47:18,920 --> 00:47:21,480 Speaker 1: we talked about with Tucker Carlson is the same thing 842 00:47:21,560 --> 00:47:25,000 Speaker 1: we're talking about here. People are starting to wake up 843 00:47:25,040 --> 00:47:27,800 Speaker 1: to the fact that, you know, the vast majority of 844 00:47:27,840 --> 00:47:32,840 Speaker 1: Americans get fucked in favor of these extremely wealthy handful 845 00:47:32,880 --> 00:47:36,600 Speaker 1: of people who are at the type of corporations. Yeah, well, 846 00:47:36,840 --> 00:47:38,879 Speaker 1: I mean, what's good is that the will is there, 847 00:47:39,280 --> 00:47:41,680 Speaker 1: and I hope that only grows. And I think now 848 00:47:41,800 --> 00:47:44,640 Speaker 1: we just need to begin articulating this policy in a 849 00:47:44,719 --> 00:47:46,640 Speaker 1: way that can bring more people in and make it 850 00:47:46,719 --> 00:47:50,760 Speaker 1: a little more realistic for from a policy making standpoint 851 00:47:50,800 --> 00:47:52,560 Speaker 1: to of how to do this and do it in 852 00:47:52,600 --> 00:47:55,440 Speaker 1: a way that causes the least amount of damage possible. 853 00:47:56,680 --> 00:47:58,600 Speaker 1: All right, we're gonna take a quick break. We'll be 854 00:47:58,719 --> 00:48:12,160 Speaker 1: right back. And we're back, And guys, I want to 855 00:48:12,200 --> 00:48:16,359 Speaker 1: talk about Marie Condo and Cocoa, the movie Cocoa. Wow, 856 00:48:16,560 --> 00:48:19,600 Speaker 1: what a mash up? Mash up are they doing? All yeah, 857 00:48:19,640 --> 00:48:22,400 Speaker 1: they're doing a collab. Oh, she's gone through and just 858 00:48:22,520 --> 00:48:25,400 Speaker 1: kind of tidying up the places where they have the 859 00:48:25,480 --> 00:48:28,200 Speaker 1: pictures of their dead realities, Like what about this guitar 860 00:48:30,440 --> 00:48:34,000 Speaker 1: doesn't spark joy? No, So these are two kind of 861 00:48:34,120 --> 00:48:37,360 Speaker 1: pop cultural phenomena from the past couple of years that 862 00:48:37,520 --> 00:48:42,360 Speaker 1: seemed to be specifically about the fact that America, or 863 00:48:42,400 --> 00:48:45,560 Speaker 1: at least interesting to me from the perspective that America 864 00:48:45,640 --> 00:48:49,399 Speaker 1: doesn't make a place to honor our history or any 865 00:48:51,719 --> 00:48:55,120 Speaker 1: right exactly. But you only want to hold onto the 866 00:48:55,239 --> 00:48:59,200 Speaker 1: old gross ship, right, we literally pave over history and 867 00:48:59,320 --> 00:49:02,520 Speaker 1: put up like new buildings and malls, and like, our 868 00:49:03,000 --> 00:49:06,879 Speaker 1: biggest greatest city is New York City, where you may 869 00:49:07,440 --> 00:49:11,440 Speaker 1: live in a building where like the first woman voted 870 00:49:11,640 --> 00:49:14,920 Speaker 1: or like the first female vote was cast, but you 871 00:49:14,920 --> 00:49:18,680 Speaker 1: wouldn't know it because there's like literally no sign of history. 872 00:49:18,719 --> 00:49:21,800 Speaker 1: It's just tear down, build up, tear down, build up, change. 873 00:49:21,960 --> 00:49:25,279 Speaker 1: Like in the UK we have like these blue plack 874 00:49:25,360 --> 00:49:29,359 Speaker 1: cards that buildings like the first owner of the Royal 875 00:49:29,440 --> 00:49:34,719 Speaker 1: Ballet School lived in this house. Yeah, like preserve it. Yeah, 876 00:49:35,040 --> 00:49:37,400 Speaker 1: And I think they even have some of those in 877 00:49:37,480 --> 00:49:41,399 Speaker 1: the United States in New York City, But I've never 878 00:49:41,520 --> 00:49:44,920 Speaker 1: noticed the Triangle Shirt Waist Company. Is that building still around? 879 00:49:45,120 --> 00:49:48,399 Speaker 1: I'm sure like or there. I'm sure there's a recker 880 00:49:48,560 --> 00:49:50,400 Speaker 1: that says this is where it happened. But that's not 881 00:49:50,520 --> 00:49:53,759 Speaker 1: a thing that people pay attention to. People, right, people 882 00:49:53,800 --> 00:49:56,600 Speaker 1: go to Columbus Circle, to the shiny new mall there, 883 00:49:57,320 --> 00:50:00,440 Speaker 1: you know, Times Square or whatever. And I think this 884 00:50:00,640 --> 00:50:04,880 Speaker 1: is down to our entire philosophy is about reinventing ourselves, right, 885 00:50:05,040 --> 00:50:08,960 Speaker 1: Like we like celebrities who constantly reinvent themselves. You know, 886 00:50:09,040 --> 00:50:15,120 Speaker 1: we like movies where the mentally handicapped, poor boxer today 887 00:50:15,320 --> 00:50:18,920 Speaker 1: turns into the heavyweight champion tomorrow. Or you know, our 888 00:50:19,000 --> 00:50:22,799 Speaker 1: biographies of great men revised their stories to be about them, 889 00:50:23,360 --> 00:50:27,279 Speaker 1: you know, going from pulling themselves up by their bootstraps 890 00:50:27,320 --> 00:50:31,480 Speaker 1: and totally just defying their background and we will write 891 00:50:31,560 --> 00:50:35,160 Speaker 1: out you know, Malcolm Gladwell wrote about how Bill gates 892 00:50:35,760 --> 00:50:39,640 Speaker 1: entire reason for being was defined by the fact that 893 00:50:39,840 --> 00:50:43,320 Speaker 1: his parents got him access to a computer that he 894 00:50:43,400 --> 00:50:45,759 Speaker 1: could program on at a young age, but that is 895 00:50:45,800 --> 00:50:48,440 Speaker 1: written out of the story. And you know, that's why 896 00:50:48,680 --> 00:50:52,440 Speaker 1: Disney is fascinated by orphans. And it's also you were 897 00:50:52,480 --> 00:50:57,520 Speaker 1: talking about manifesting, like manifest destiny is the founding philosophy 898 00:50:57,719 --> 00:51:01,840 Speaker 1: of the United States, sort of racing an entire millennia 899 00:51:02,120 --> 00:51:06,360 Speaker 1: of previous culture and people that lived here and ignoring 900 00:51:06,560 --> 00:51:10,520 Speaker 1: their role in taming the land and anyways, so now 901 00:51:10,840 --> 00:51:15,399 Speaker 1: into that culture we have Marie Condo and Cocoa. Marie 902 00:51:15,480 --> 00:51:18,759 Speaker 1: Condo came on the scene and I immediately assumed she 903 00:51:18,920 --> 00:51:24,320 Speaker 1: was the sort of self invented Western style huckster that 904 00:51:24,760 --> 00:51:27,960 Speaker 1: the self help industry typically turns out like a Tony 905 00:51:28,120 --> 00:51:30,960 Speaker 1: Robin Stipe, you know, But it turns out she grew 906 00:51:31,080 --> 00:51:35,320 Speaker 1: up studying, like she was a caretaker of a Shinto temple, 907 00:51:35,920 --> 00:51:38,840 Speaker 1: and it is part of a tradition that is essentially 908 00:51:39,640 --> 00:51:43,680 Speaker 1: Japan's national It's kind of like a religion, but it's 909 00:51:43,719 --> 00:51:45,880 Speaker 1: like part of I mean Shinto Buddhism is you know 910 00:51:46,239 --> 00:51:48,120 Speaker 1: the culture too. I mean a lot of the things 911 00:51:48,200 --> 00:51:50,880 Speaker 1: in Japanese culture, like taking your shoes off and like 912 00:51:51,000 --> 00:51:54,600 Speaker 1: that come from Shinto Shinto. And it's about connecting to 913 00:51:54,760 --> 00:51:57,640 Speaker 1: the past and honoring the past and having a way 914 00:51:57,760 --> 00:52:01,800 Speaker 1: to connect the present moment to the past. And a 915 00:52:01,880 --> 00:52:05,279 Speaker 1: lot of her focus and her process is evaluating your 916 00:52:05,320 --> 00:52:08,800 Speaker 1: relationship to an object and like what it represents of 917 00:52:08,880 --> 00:52:11,319 Speaker 1: your past and like what it reminds you of from 918 00:52:11,400 --> 00:52:14,960 Speaker 1: your past, and you know, she's waking up the object 919 00:52:15,200 --> 00:52:17,920 Speaker 1: to like she I think it's a lot about like 920 00:52:18,040 --> 00:52:22,480 Speaker 1: the power of these objects to be to connect us 921 00:52:22,560 --> 00:52:26,960 Speaker 1: to the past and like spark joy or not. Um well, 922 00:52:27,080 --> 00:52:30,440 Speaker 1: I think it's also about minimalism to write very you 923 00:52:30,520 --> 00:52:33,279 Speaker 1: know in japan are It's funny like hearing a lot 924 00:52:33,360 --> 00:52:36,560 Speaker 1: of people from the States talk about all this stuff, 925 00:52:36,680 --> 00:52:39,040 Speaker 1: it's like very Japanese stuff to me, and I'm like, 926 00:52:39,120 --> 00:52:42,160 Speaker 1: oh right, but like this is weird well, because I 927 00:52:42,200 --> 00:52:45,719 Speaker 1: think it's so it's almost antithetical to like United States 928 00:52:45,800 --> 00:52:49,319 Speaker 1: consumer culture, which is the accumulation of property, right, how 929 00:52:49,400 --> 00:52:51,520 Speaker 1: much she can I have the most of these things, 930 00:52:51,960 --> 00:52:55,359 Speaker 1: I have this many these things, and her whole thing 931 00:52:55,480 --> 00:52:58,600 Speaker 1: is like it's like about harmonizing with your environment, you know, 932 00:52:58,680 --> 00:53:00,520 Speaker 1: which is a very Japanese thing, like, you know, like 933 00:53:00,600 --> 00:53:03,200 Speaker 1: whether it's nature and flower ranging. This is sort of 934 00:53:03,280 --> 00:53:07,319 Speaker 1: like are the objects around you? Are they actually contributing 935 00:53:07,400 --> 00:53:10,240 Speaker 1: to a harm like a harmonious relationship with your surrounding. 936 00:53:10,320 --> 00:53:12,560 Speaker 1: So if you have this, does it give you a 937 00:53:12,640 --> 00:53:17,640 Speaker 1: good feeling? Is it energizing? Probably not useful, And I think, yeah, 938 00:53:17,760 --> 00:53:20,160 Speaker 1: there's a those are like kind of the two forces 939 00:53:20,200 --> 00:53:22,080 Speaker 1: butting up when I especially when I see a lot 940 00:53:22,160 --> 00:53:25,120 Speaker 1: of the the you know, at least people's takes on it. Right. 941 00:53:25,360 --> 00:53:29,080 Speaker 1: The only time in America I've ever felt connected to 942 00:53:29,680 --> 00:53:32,920 Speaker 1: the past is like when I'm in nature or when 943 00:53:32,920 --> 00:53:35,920 Speaker 1: I'm in a foreign country where like they actually have 944 00:53:36,400 --> 00:53:39,920 Speaker 1: sort of an entire culture that is like built around 945 00:53:40,160 --> 00:53:43,360 Speaker 1: the past, basically as opposed to in the United States. 946 00:53:43,440 --> 00:53:46,320 Speaker 1: It's like we have suburbs and we have parking lots 947 00:53:46,440 --> 00:53:48,600 Speaker 1: that we just like pave over this and the people 948 00:53:48,680 --> 00:53:51,239 Speaker 1: who were here and do do give the land history. 949 00:53:51,280 --> 00:53:52,920 Speaker 1: We're like, okay, and y'all can go over here on 950 00:53:53,000 --> 00:53:56,520 Speaker 1: your reservations and we're just gonna just build the wild 951 00:53:56,600 --> 00:53:59,279 Speaker 1: mini mall everywhere else. We were driving out to San 952 00:53:59,280 --> 00:54:02,440 Speaker 1: Francisco the other weekend for the SF Sketch Fest, and 953 00:54:02,520 --> 00:54:06,839 Speaker 1: we stopped off it was like this Dutch piece suit. Yeah. Yeah, 954 00:54:07,239 --> 00:54:09,080 Speaker 1: but it's kind of sweet because it looks like a 955 00:54:09,160 --> 00:54:12,840 Speaker 1: Tudor building with a Dutch windmill, like in British, Like 956 00:54:12,960 --> 00:54:15,640 Speaker 1: Tudor buildings are old British buildings, and I see that 957 00:54:15,719 --> 00:54:17,600 Speaker 1: a lot. Like people are like, oh my god, like 958 00:54:17,719 --> 00:54:20,319 Speaker 1: it is cute, like like ale House. I'm like, it's 959 00:54:20,360 --> 00:54:23,440 Speaker 1: the Tudor building that they've made two years ago, right right. 960 00:54:24,080 --> 00:54:26,400 Speaker 1: But I think that's what's cool about Coco too, is 961 00:54:26,719 --> 00:54:30,279 Speaker 1: how it introduces you to this whole culture that is 962 00:54:30,360 --> 00:54:35,040 Speaker 1: about honoring your relatives and honoring the past, Whereas in 963 00:54:35,120 --> 00:54:39,239 Speaker 1: America it's like your elders, right, like or your ancestors. 964 00:54:40,040 --> 00:54:42,960 Speaker 1: Whereas in America you kind of I mean it is 965 00:54:43,080 --> 00:54:46,040 Speaker 1: really like you want to look at the bleakness of 966 00:54:46,120 --> 00:54:50,960 Speaker 1: the American sort of ideology, go to nursing homes where 967 00:54:51,440 --> 00:54:54,759 Speaker 1: we just like shuttle off our old people to write 968 00:54:54,760 --> 00:54:57,200 Speaker 1: and kind of be by themselves and other cultures. You're like, yo, 969 00:54:57,239 --> 00:54:58,840 Speaker 1: when you get a certain age, mom and dad are 970 00:54:58,880 --> 00:55:02,040 Speaker 1: living with me, Yeah, and like not going anywhere because 971 00:55:02,160 --> 00:55:04,879 Speaker 1: we have we keep the family together. I just kind 972 00:55:04,920 --> 00:55:07,759 Speaker 1: of I really like the whole idea of a lot 973 00:55:07,800 --> 00:55:10,279 Speaker 1: of people having to ask themselves if their items bring 974 00:55:10,360 --> 00:55:12,600 Speaker 1: them joy, because I felt like that first week when 975 00:55:12,640 --> 00:55:14,120 Speaker 1: this show was out. A lot of people on Twitter 976 00:55:14,280 --> 00:55:17,080 Speaker 1: have like jokes about it, but we're also wrestling with 977 00:55:17,160 --> 00:55:20,560 Speaker 1: the idea that this ship actually I really don't give 978 00:55:20,600 --> 00:55:23,440 Speaker 1: a funk about this. That's making me feel weird because 979 00:55:23,520 --> 00:55:27,200 Speaker 1: before I was extracting my identity from that and I 980 00:55:27,239 --> 00:55:28,879 Speaker 1: don't know. I think it's also a way to sort 981 00:55:28,920 --> 00:55:31,920 Speaker 1: of force yourself to understand like how much our identities 982 00:55:31,960 --> 00:55:35,200 Speaker 1: are intertwined with objects we possess, and how much is 983 00:55:35,239 --> 00:55:38,000 Speaker 1: actually coming from like an internal source of like this 984 00:55:38,160 --> 00:55:41,480 Speaker 1: is who I am, regardless of these external factors. As 985 00:55:41,480 --> 00:55:43,800 Speaker 1: an American, I have to put it in terms of 986 00:55:43,960 --> 00:55:46,520 Speaker 1: museums because that's the only place where we put the past. 987 00:55:46,960 --> 00:55:48,839 Speaker 1: But like I think of it as like turning your 988 00:55:48,880 --> 00:55:51,800 Speaker 1: home into a museum of your life, like kind of 989 00:55:51,960 --> 00:55:54,640 Speaker 1: kind of thing where you're like, you know, honoring these 990 00:55:54,719 --> 00:55:58,960 Speaker 1: things as totems or artifacts from your life, and like 991 00:55:59,440 --> 00:56:01,120 Speaker 1: if they just are of a place in the museum, 992 00:56:01,200 --> 00:56:05,040 Speaker 1: that's great, but like you have to be a curator. Yeah, yeah, well, 993 00:56:05,120 --> 00:56:07,400 Speaker 1: you know, the US is all about keeping it young 994 00:56:07,480 --> 00:56:13,920 Speaker 1: and fresh. Its fuck old ship old. I know. It's 995 00:56:13,960 --> 00:56:16,320 Speaker 1: like when I'm at parties out here, people speak like 996 00:56:16,480 --> 00:56:19,720 Speaker 1: eight octaves louder than the UK, so like, let's the party, 997 00:56:19,800 --> 00:56:21,920 Speaker 1: and my ears were ringing, and I was like, I'm 998 00:56:21,960 --> 00:56:23,799 Speaker 1: going to move to America when I'm an old lady 999 00:56:23,840 --> 00:56:25,480 Speaker 1: and I'm starting to go deaf because I just won't 1000 00:56:25,520 --> 00:56:29,839 Speaker 1: be deaf out here. Yeah, all the Brits are like, helly, 1001 00:56:29,920 --> 00:56:31,840 Speaker 1: can you just please press the button on the elevator 1002 00:56:32,600 --> 00:56:35,360 Speaker 1: saying well, it's yeah, even like it's funny when I 1003 00:56:35,400 --> 00:56:38,800 Speaker 1: was in Japan with like when you're on the trains 1004 00:56:38,840 --> 00:56:40,799 Speaker 1: and stuff, the people who speak the louttest are usually 1005 00:56:41,000 --> 00:56:44,359 Speaker 1: like people from other countries because it's it's all about like, yeah, 1006 00:56:44,880 --> 00:56:47,040 Speaker 1: keep your phone on silence, it's my drum ship. But 1007 00:56:47,160 --> 00:56:49,480 Speaker 1: those are you know, those are the differences where yeah, 1008 00:56:49,520 --> 00:56:52,320 Speaker 1: America is just like, it's me, me, me, and this 1009 00:56:52,440 --> 00:56:55,399 Speaker 1: is what it is. Uh, we're you know, we're learning, 1010 00:56:55,560 --> 00:56:58,120 Speaker 1: we're learning out here. That's right. Let's take let's take 1011 00:56:58,440 --> 00:57:01,040 Speaker 1: messages from all over the world. Cat. The first time 1012 00:57:01,080 --> 00:57:03,600 Speaker 1: I met you was on an episode of The Correct 1013 00:57:03,680 --> 00:57:07,800 Speaker 1: podcast where we talked about things that seem strange to 1014 00:57:07,880 --> 00:57:11,880 Speaker 1: you about America as somebody who's not from here, and uh, 1015 00:57:12,040 --> 00:57:16,640 Speaker 1: you have the loudass voices. I'm like, yeah, that's because 1016 00:57:16,680 --> 00:57:19,440 Speaker 1: that's just yeah, their culture is so individualistic here and 1017 00:57:19,520 --> 00:57:22,200 Speaker 1: not about the group. And again that that that also 1018 00:57:22,360 --> 00:57:24,480 Speaker 1: just bleeds into our the way our politics are to 1019 00:57:25,000 --> 00:57:27,400 Speaker 1: The politicians are in there because they have their own 1020 00:57:27,520 --> 00:57:31,280 Speaker 1: individualistic goals of being like the most popular person in 1021 00:57:31,320 --> 00:57:33,640 Speaker 1: their part of the state, because they're in Congress, and 1022 00:57:33,760 --> 00:57:36,240 Speaker 1: sort of like, we don't think so much about the collective, 1023 00:57:36,320 --> 00:57:38,760 Speaker 1: especially now when we look at things like healthcare and education, 1024 00:57:39,320 --> 00:57:41,040 Speaker 1: it's not so much about that. It's like, oh, well, 1025 00:57:41,120 --> 00:57:43,640 Speaker 1: who who's going to benefit that I know directly from 1026 00:57:43,680 --> 00:57:54,440 Speaker 1: this policy? Right, Well, well let's sing about that this weekend. Kat. 1027 00:57:54,600 --> 00:57:57,720 Speaker 1: It's been a pleasure having you as always. Where can 1028 00:57:57,760 --> 00:58:01,400 Speaker 1: people find you? I'm main you do Instagram, I have Twitter, 1029 00:58:01,600 --> 00:58:06,440 Speaker 1: but I you basically see the same stuff like on Instagram. Um, 1030 00:58:06,600 --> 00:58:09,680 Speaker 1: it's that Katia finger so k A T I A 1031 00:58:09,880 --> 00:58:16,480 Speaker 1: k v I n G dot tv. Just that. And 1032 00:58:16,640 --> 00:58:20,200 Speaker 1: is there a tweet you've been enjoying or Instagram post 1033 00:58:21,040 --> 00:58:24,200 Speaker 1: that I've seen or one that I've done either. I 1034 00:58:24,320 --> 00:58:26,600 Speaker 1: did one that went kind of viral where I high 1035 00:58:26,680 --> 00:58:28,760 Speaker 1: five loads of people at the leaning tier of pizza 1036 00:58:29,400 --> 00:58:31,000 Speaker 1: because you know how they all stand with their hands 1037 00:58:31,080 --> 00:58:33,680 Speaker 1: up like trying to hold the pizza ran and high 1038 00:58:33,720 --> 00:58:38,440 Speaker 1: high five everyone, like the perspective shot exactly. Yeah, so 1039 00:58:38,520 --> 00:58:40,320 Speaker 1: it's a video of me high fiving all the people 1040 00:58:40,360 --> 00:58:43,960 Speaker 1: doing that. I always love dog memes. I can't get 1041 00:58:44,040 --> 00:58:45,800 Speaker 1: over that. Still like that, I have no idea what 1042 00:58:45,880 --> 00:58:47,960 Speaker 1: I'm doing. Type dog means. There's one where it's like 1043 00:58:48,000 --> 00:58:50,640 Speaker 1: this dog and it's eating different types of food and 1044 00:58:50,680 --> 00:58:53,680 Speaker 1: it's like broccoli and it's like yeah, and then like 1045 00:58:54,200 --> 00:58:56,600 Speaker 1: feeds it me and it's like yeah, it's good from 1046 00:58:56,640 --> 00:58:59,840 Speaker 1: my tom and they feed it like um cordas to 1047 00:59:00,000 --> 00:59:02,520 Speaker 1: and it's like this is fantastic. How it's gonna stink 1048 00:59:02,600 --> 00:59:07,600 Speaker 1: like fat later? I loved it so much. How are 1049 00:59:07,640 --> 00:59:10,720 Speaker 1: you with cottage cheese? Okay, okay, don't make sure who 1050 00:59:10,760 --> 00:59:15,200 Speaker 1: wasn't resonating for other reasons? Uh, Miles, Yes, where can 1051 00:59:15,280 --> 00:59:18,600 Speaker 1: people find? You can find me, you can find us, 1052 00:59:19,880 --> 00:59:22,400 Speaker 1: you can find the whole Daily Zydec crew. We worked 1053 00:59:22,400 --> 00:59:24,160 Speaker 1: on the Rohm Burgundy podcast. I just want to say 1054 00:59:24,200 --> 00:59:26,360 Speaker 1: that on the show one time out because it was 1055 00:59:26,440 --> 00:59:30,080 Speaker 1: a tremendous honor and labor of love from everybody who 1056 00:59:30,120 --> 00:59:33,840 Speaker 1: works on the show. Nick and Jack, Sophie, we all, yeah, 1057 00:59:33,920 --> 00:59:35,240 Speaker 1: this is we. We got to work on the Rohn 1058 00:59:35,240 --> 00:59:38,480 Speaker 1: Burgundy podcast. So yes, out of allegiance to us, just 1059 00:59:38,720 --> 00:59:42,440 Speaker 1: download that. You're gonna like it. And also if you don't, uh, 1060 00:59:42,920 --> 00:59:46,920 Speaker 1: just at Will Ferrell don't leave me alone. But again, yes, 1061 00:59:47,000 --> 00:59:48,760 Speaker 1: please let check out the rom Burgundy podcast. If you 1062 00:59:48,800 --> 00:59:50,439 Speaker 1: want to find me on social media, you can find 1063 00:59:50,520 --> 00:59:53,680 Speaker 1: me at Miles of Gray g r A y. A 1064 00:59:53,800 --> 00:59:58,240 Speaker 1: couple of tweets I like is from Jane Greasy at 1065 00:59:58,320 --> 01:00:01,400 Speaker 1: Jean Greasy. She says, all the fucking quote unquote teachable 1066 01:00:01,520 --> 01:00:03,880 Speaker 1: learning moments is why we can't have nice things. It's 1067 01:00:03,920 --> 01:00:06,560 Speaker 1: one year from twenty. I want my fucking hoverboard and 1068 01:00:06,680 --> 01:00:09,920 Speaker 1: my Mex suit and my Minority Report contact lenses, But 1069 01:00:10,120 --> 01:00:12,520 Speaker 1: no we're here in the future telling you black face 1070 01:00:12,640 --> 01:00:17,080 Speaker 1: is wrong. God damn it. Yeah. Uh. And another one 1071 01:00:17,280 --> 01:00:19,920 Speaker 1: is this as a sentiment you hear a lot in 1072 01:00:20,520 --> 01:00:23,320 Speaker 1: l A. Especially if this is from at uh A 1073 01:00:24,120 --> 01:00:28,360 Speaker 1: S l N O U X Lisa. H Uh. It 1074 01:00:28,520 --> 01:00:32,840 Speaker 1: just says congratulations. How do you get that? Because that's 1075 01:00:32,960 --> 01:00:35,720 Speaker 1: pretty much if, especially in this in the entertainment industry, 1076 01:00:35,720 --> 01:00:37,479 Speaker 1: were like, oh my god, congrats, So how did that happen? 1077 01:00:38,080 --> 01:00:41,720 Speaker 1: Like It's never just like congratulations, It's like, why are 1078 01:00:41,800 --> 01:00:44,840 Speaker 1: you doing that better than me? It's just the most 1079 01:00:44,960 --> 01:00:46,840 Speaker 1: l A thing. I wish more people who tweeted that, 1080 01:00:46,920 --> 01:00:49,680 Speaker 1: because I'm like, Wow, that's l A is basically in 1081 01:00:49,760 --> 01:00:54,560 Speaker 1: a a quote congratulations. How do you get that? Tweet? 1082 01:00:54,560 --> 01:00:58,040 Speaker 1: I've been enjoying from our good pal use of Roach 1083 01:00:58,280 --> 01:01:01,520 Speaker 1: tweeted when I moved to California, I thought astrology was stupid, 1084 01:01:01,600 --> 01:01:04,120 Speaker 1: but slowly I learned to just be into whatever hot 1085 01:01:04,200 --> 01:01:08,240 Speaker 1: girls like. You can follow me on Twitter at Jack 1086 01:01:08,320 --> 01:01:12,720 Speaker 1: Underscore O'Brien. You can find us on Twitter at daily Zeitgeis. 1087 01:01:12,760 --> 01:01:15,440 Speaker 1: We're at the daily Zeitgeis on Instagram. We have a 1088 01:01:15,480 --> 01:01:18,000 Speaker 1: Facebook fan page on a website, daily ze Guys Dot 1089 01:01:18,040 --> 01:01:21,480 Speaker 1: com where we post our episodes and our book where 1090 01:01:21,480 --> 01:01:23,959 Speaker 1: we link off to the information that we talked about 1091 01:01:24,040 --> 01:01:27,000 Speaker 1: today's episode, as well as the song lead right out 1092 01:01:27,040 --> 01:01:31,600 Speaker 1: on of Man it has not broken the sixty two 1093 01:01:31,640 --> 01:01:36,240 Speaker 1: degrees fahrenheits in l A and I'm I'm partially wanting 1094 01:01:36,280 --> 01:01:37,800 Speaker 1: the sun to come back. So I've been listening to 1095 01:01:37,840 --> 01:01:41,480 Speaker 1: a lot of music that inspires, you know, tropical visions. 1096 01:01:41,840 --> 01:01:44,720 Speaker 1: So I will leave you with some you know, samba, jazz, 1097 01:01:44,880 --> 01:01:47,880 Speaker 1: BASSA nova from stand gets uh and this is called 1098 01:01:48,160 --> 01:01:52,120 Speaker 1: South dadget vemicle handle. Okay, now put that in your 1099 01:01:52,120 --> 01:01:54,120 Speaker 1: ears and just close your eyes and try and leave 1100 01:01:54,200 --> 01:01:56,880 Speaker 1: the sun shining on you, warming your body this weekend, 1101 01:01:56,880 --> 01:01:59,160 Speaker 1: because that's what I'm about to do. Alright, guys, have 1102 01:01:59,280 --> 01:02:02,000 Speaker 1: a great week and we will be back on Monday. 1103 01:02:02,680 --> 01:02:24,760 Speaker 1: I talk to yet night. Fine, I know it