1 00:00:00,200 --> 00:00:03,280 Speaker 1: Hello the Internet, and welcome to Season to twenty three, 2 00:00:03,320 --> 00:00:07,080 Speaker 1: Episode two of day Leys Like Geist, a production of 3 00:00:07,160 --> 00:00:10,480 Speaker 1: I Heart Radio. This is a podcast where we take 4 00:00:10,920 --> 00:00:14,320 Speaker 1: a deep dive into America's shared consciousness. Yeah, let's go 5 00:00:14,360 --> 00:00:20,520 Speaker 1: with that. It is Tuesday, February. My name is Jack 6 00:00:20,560 --> 00:00:23,000 Speaker 1: O'Brien a K. Let's see if we can get this 7 00:00:23,120 --> 00:00:27,880 Speaker 1: back and trick on sometimes I say, play on online games. 8 00:00:27,960 --> 00:00:29,880 Speaker 1: Catch me on the word scores. I get it less 9 00:00:29,880 --> 00:00:32,920 Speaker 1: than three, So you did better claim you didn't cheat. 10 00:00:33,159 --> 00:00:35,600 Speaker 1: I know you use google Boy, because that can't be beat. 11 00:00:35,840 --> 00:00:41,400 Speaker 1: That is courtesy of alpal at Rumham McDuck. But is 12 00:00:41,960 --> 00:00:46,600 Speaker 1: word all based payper planes a K just as m 13 00:00:46,600 --> 00:00:50,320 Speaker 1: I A intended it. It's based on some somebody Once 14 00:00:50,360 --> 00:00:54,600 Speaker 1: I scared shared a wordle score and they straight up said, 15 00:00:54,680 --> 00:00:57,960 Speaker 1: I don't believe you. I think you cheat. And how 16 00:00:58,000 --> 00:01:00,880 Speaker 1: would you possibly cheat at word all? I mean you 17 00:01:00,960 --> 00:01:04,400 Speaker 1: could very easily. You could just google right first thing 18 00:01:04,400 --> 00:01:07,240 Speaker 1: in the morning, what's the word today? It would be 19 00:01:07,520 --> 00:01:11,400 Speaker 1: the most depressing thing I could I could possibly imagine 20 00:01:11,520 --> 00:01:16,000 Speaker 1: is doing that and then sharing your score. But I 21 00:01:16,040 --> 00:01:19,479 Speaker 1: don't know. Anyways, I'm thrilled too. I do I do choose, 22 00:01:19,600 --> 00:01:21,800 Speaker 1: but that's between the three of us and our entirely. 23 00:01:22,880 --> 00:01:24,319 Speaker 1: The first thing I do when I wake up in 24 00:01:24,319 --> 00:01:27,400 Speaker 1: the morning google what's the world thing and then share 25 00:01:27,400 --> 00:01:31,360 Speaker 1: it out. I'm thrilled to be joined by today's special 26 00:01:31,400 --> 00:01:34,759 Speaker 1: guest co host, a producer behind shows like FAKEDOK, Real Friends, 27 00:01:34,760 --> 00:01:37,560 Speaker 1: and Welcome to Our Show. You've heard her on pop 28 00:01:37,600 --> 00:01:40,240 Speaker 1: Culture Happy Hour and read her at Vulture, The a 29 00:01:40,400 --> 00:01:43,760 Speaker 1: V Club Team, vok Pace many more. She is the 30 00:01:43,840 --> 00:01:52,400 Speaker 1: brilliant and talented Joel Monique a the Marvel Defender. She's 31 00:01:52,640 --> 00:01:56,640 Speaker 1: is the Marvel defender. Are you? Are you defending anything 32 00:01:56,800 --> 00:01:59,240 Speaker 1: in the Marvel universe of late? Is there anything I 33 00:01:59,320 --> 00:02:01,640 Speaker 1: can thank me? Do you my defense of the Disney 34 00:02:02,000 --> 00:02:09,040 Speaker 1: Empire to a certain extent? Yeah, yeah, yeah, because Disney 35 00:02:09,080 --> 00:02:12,640 Speaker 1: star Wars stuff flow, so like Marvel Moon Night is 36 00:02:12,680 --> 00:02:15,440 Speaker 1: coming to save us. I'm really excited. It's going to 37 00:02:15,520 --> 00:02:23,360 Speaker 1: be great. It's got thank you giving his wild British accent, 38 00:02:23,480 --> 00:02:26,280 Speaker 1: so that should be fun. In the meantime, we have 39 00:02:26,360 --> 00:02:28,400 Speaker 1: Book of Bova Fete, which a lot of people have 40 00:02:28,440 --> 00:02:31,720 Speaker 1: been frustrated by because he disappeared for two episodes. But 41 00:02:31,760 --> 00:02:34,559 Speaker 1: first they were upset that he was in too many episodes, 42 00:02:34,880 --> 00:02:36,960 Speaker 1: so he can't really trust a star Wars shan is 43 00:02:36,960 --> 00:02:40,640 Speaker 1: when he plained and I think, listen, this is the 44 00:02:40,680 --> 00:02:44,880 Speaker 1: first time we're learning that. By the way, there's never 45 00:02:44,960 --> 00:02:51,880 Speaker 1: been any indication before exact day spotless. I like the 46 00:02:51,919 --> 00:02:54,320 Speaker 1: choices that are being made over there, except for now. 47 00:02:54,440 --> 00:02:57,880 Speaker 1: I'm concerned that Disney's Ultimate plans to get rid of 48 00:02:58,040 --> 00:03:02,799 Speaker 1: performers entirely. And she she used their black backlog performances. 49 00:03:03,200 --> 00:03:06,880 Speaker 1: They'll just run it through a computer. There's no voice acting. Okay, listen, 50 00:03:06,960 --> 00:03:09,200 Speaker 1: small spoiler alert if you're not caught up on book 51 00:03:09,280 --> 00:03:11,760 Speaker 1: both that you just go ahead and you skip ten seconds. 52 00:03:12,680 --> 00:03:15,200 Speaker 1: Luke Skywalker comes back in and he it's young Luke 53 00:03:15,760 --> 00:03:19,119 Speaker 1: mark Hamill is still alive, not asked to do any performance, 54 00:03:19,200 --> 00:03:22,720 Speaker 1: not the body work, not the voiceover work. I get 55 00:03:22,800 --> 00:03:25,120 Speaker 1: that they are trying some things. I really appreciate their 56 00:03:25,120 --> 00:03:28,639 Speaker 1: dedication to technology and advancing that work because it's interesting 57 00:03:28,639 --> 00:03:30,600 Speaker 1: and it's sort of exciting and a lot of voice 58 00:03:30,680 --> 00:03:32,360 Speaker 1: to be like, oh my god, that's the character in 59 00:03:32,440 --> 00:03:35,520 Speaker 1: the timeline. Impressive. Um. But also I think actors are 60 00:03:35,520 --> 00:03:37,400 Speaker 1: gonna have to rewrite their contracts and be like, you 61 00:03:37,520 --> 00:03:40,080 Speaker 1: don't get to use my voice or past performances with 62 00:03:40,120 --> 00:03:43,720 Speaker 1: you were entirely new things we never even thought about before. 63 00:03:44,240 --> 00:03:46,320 Speaker 1: You can't revive me when I'm dead. That stuff is 64 00:03:46,320 --> 00:03:48,920 Speaker 1: gonna be written down, and I think, um, legally speaking, 65 00:03:48,960 --> 00:03:52,880 Speaker 1: it will be an interesting territory going forward. Yeah, just 66 00:03:52,880 --> 00:03:56,360 Speaker 1: based on your description, I'm picturing the young Luke Skywalker 67 00:03:56,440 --> 00:04:01,400 Speaker 1: speaks like the like text to speech. It's just like hello, 68 00:04:01,720 --> 00:04:07,760 Speaker 1: it is me Luke Skywalker, and nobody can tell me otherwise. Joel. 69 00:04:08,120 --> 00:04:10,840 Speaker 1: We are thrilled to be joined by one of our 70 00:04:10,880 --> 00:04:13,960 Speaker 1: favorite guests. She's the host of the smart Mouth podcast. 71 00:04:14,520 --> 00:04:16,520 Speaker 1: She used to run the food section of l A 72 00:04:16,600 --> 00:04:20,480 Speaker 1: Weekly and is just an all around brilliant traveling food writer. 73 00:04:20,920 --> 00:04:29,839 Speaker 1: It's Katherine spear Gather. Hi, thanks to back, what's up? Welcome, Welcome, 74 00:04:29,880 --> 00:04:31,960 Speaker 1: It's great to have you back so much. I'm excited 75 00:04:32,000 --> 00:04:33,880 Speaker 1: to be here. I've been outside of l A for 76 00:04:33,880 --> 00:04:35,800 Speaker 1: the past three weeks, so this is like me diving 77 00:04:35,880 --> 00:04:39,120 Speaker 1: right back in to Yes, the most l A thing 78 00:04:39,320 --> 00:04:43,200 Speaker 1: that you can possibly do is guest on our zoom 79 00:04:43,200 --> 00:04:46,960 Speaker 1: based podcast. Yeah. Yeah, this is going to be actually 80 00:04:47,240 --> 00:04:50,640 Speaker 1: a somewhat lash episode. We're gonna talk about a a 81 00:04:50,720 --> 00:04:56,680 Speaker 1: new l A magazine article that is not great, so 82 00:04:56,920 --> 00:05:01,440 Speaker 1: not not not their finest work. Actually don't tend to 83 00:05:01,480 --> 00:05:05,920 Speaker 1: read l A magazine, but they're like, rich people are scared. 84 00:05:06,120 --> 00:05:08,840 Speaker 1: What do we do? So that's what we're going to 85 00:05:08,920 --> 00:05:12,479 Speaker 1: talk about at one point. But before, what where were 86 00:05:12,520 --> 00:05:15,960 Speaker 1: you traveling to? Well? I was in Utah, which I 87 00:05:15,960 --> 00:05:17,520 Speaker 1: think maybe the last time I was on this show. 88 00:05:17,560 --> 00:05:20,360 Speaker 1: I was in Utah also because my parents lived moved 89 00:05:20,360 --> 00:05:22,440 Speaker 1: there a few years ago, and with the pandemic and all, 90 00:05:22,480 --> 00:05:24,560 Speaker 1: I'm like, I could go spend some time in the country. 91 00:05:24,839 --> 00:05:27,359 Speaker 1: So that's been sort of a nice snowy annual break 92 00:05:27,440 --> 00:05:30,360 Speaker 1: from l A that I've been doing. And as a 93 00:05:30,400 --> 00:05:34,599 Speaker 1: food writer, what would excites you about Utah? Okay, So, 94 00:05:34,680 --> 00:05:37,599 Speaker 1: Salt Lake City is actually way cooler than even the 95 00:05:37,640 --> 00:05:40,680 Speaker 1: residents of Salt Lake City, No, And it has such 96 00:05:40,720 --> 00:05:43,080 Speaker 1: a diverse array of restaurants. It actually reminds me of 97 00:05:43,200 --> 00:05:45,240 Speaker 1: l A in the sense that, like it's just end 98 00:05:45,279 --> 00:05:47,760 Speaker 1: list strip malls. The city itself is not pretty, but 99 00:05:47,920 --> 00:05:51,440 Speaker 1: in those strip malls are all kinds of interesting restaurants. 100 00:05:51,440 --> 00:05:53,279 Speaker 1: I had Afghan food for the very first time in 101 00:05:53,320 --> 00:05:56,520 Speaker 1: Salt Lake last week, and it was great. So yeah, 102 00:05:56,680 --> 00:05:59,960 Speaker 1: that's what's cool about that place. Damn, when I picture 103 00:06:00,120 --> 00:06:01,919 Speaker 1: I was like kind of teeing you up to be 104 00:06:02,080 --> 00:06:06,600 Speaker 1: like nothing, because when I picture Utah picture cast roles 105 00:06:06,600 --> 00:06:11,279 Speaker 1: and milk. That is also true. Should not cast rolls 106 00:06:11,440 --> 00:06:15,440 Speaker 1: and milk? Oh yeah, the lds like they have so 107 00:06:15,480 --> 00:06:20,359 Speaker 1: many potlucks and the cast roles are supposed to be legit. 108 00:06:20,680 --> 00:06:24,640 Speaker 1: Ze gang from Utah have rapped Utah food to us 109 00:06:24,720 --> 00:06:26,920 Speaker 1: every once in a while, but I didn't. I can't 110 00:06:26,920 --> 00:06:30,039 Speaker 1: imagine there's like a ton of cast rolls and milk 111 00:06:30,480 --> 00:06:33,919 Speaker 1: restaurants out there. Yeah, I supposed that plus restaurant food. 112 00:06:34,080 --> 00:06:35,880 Speaker 1: But yeah, they have this one cast role that's famous 113 00:06:35,880 --> 00:06:38,840 Speaker 1: because it's called funeral potatoes because people just always bring 114 00:06:38,920 --> 00:06:42,320 Speaker 1: them to funerals and it's basically just like potato potato 115 00:06:42,320 --> 00:06:45,720 Speaker 1: potato with a layer of corn flakes on top. There 116 00:06:45,760 --> 00:06:54,479 Speaker 1: you go, it's good. That sounds fantastic. Can't even like 117 00:06:54,600 --> 00:06:58,000 Speaker 1: crispy potatoes or magic potatoes. What is the texture that 118 00:06:58,160 --> 00:07:01,400 Speaker 1: because if you bake a corn fla gets mushy. No, 119 00:07:02,160 --> 00:07:03,839 Speaker 1: I think you might add the corn flakes at the 120 00:07:03,920 --> 00:07:08,280 Speaker 1: very end. I think, all right, But also people sometimes 121 00:07:08,320 --> 00:07:11,720 Speaker 1: like do it up with their preferred type of potato, 122 00:07:11,920 --> 00:07:13,880 Speaker 1: like maybe it's a mashed potato, maybe it's a tato 123 00:07:13,960 --> 00:07:17,240 Speaker 1: todcast or all, you don't know. And maybe instead of 124 00:07:17,360 --> 00:07:22,040 Speaker 1: corn flakes it's lucky charms, you know. Yeah, yeah, get 125 00:07:22,160 --> 00:07:26,560 Speaker 1: creative fruit loops. All right, well, Katherine, we are going 126 00:07:26,600 --> 00:07:28,120 Speaker 1: to get to know you a little bit better in 127 00:07:28,200 --> 00:07:30,400 Speaker 1: a moment. First, we're gonna tell our listeners a couple 128 00:07:30,440 --> 00:07:32,400 Speaker 1: of things we're talking about. We are going to talk 129 00:07:32,440 --> 00:07:37,360 Speaker 1: about that l a Meg article that is garbage, a 130 00:07:37,440 --> 00:07:40,160 Speaker 1: bad article, but we'll we'll kind of go through some 131 00:07:40,240 --> 00:07:44,920 Speaker 1: of the the key points made the writing. Even we 132 00:07:45,080 --> 00:07:47,800 Speaker 1: are going to of course talk about more evidence that 133 00:07:47,960 --> 00:07:52,160 Speaker 1: Joe Rogan is a racist, right wing dipshit, and also 134 00:07:52,240 --> 00:07:55,360 Speaker 1: check in with like celebrities who seem like they're more 135 00:07:55,440 --> 00:07:58,720 Speaker 1: willing to forgive than maybe they should be. So all 136 00:07:58,840 --> 00:08:01,800 Speaker 1: that plenty more of First, Catherine, we do like to 137 00:08:01,840 --> 00:08:06,400 Speaker 1: ask our guest, what is something from your search history? Oh, 138 00:08:06,480 --> 00:08:10,200 Speaker 1: I was researching in quotes um all the mental health 139 00:08:10,240 --> 00:08:12,800 Speaker 1: apps and what they do with all the data. They 140 00:08:12,840 --> 00:08:15,160 Speaker 1: do all kinds of stuff with it because the terms 141 00:08:15,160 --> 00:08:19,000 Speaker 1: and conditions are very loose, obviously on purpose. But what 142 00:08:19,160 --> 00:08:22,320 Speaker 1: was particularly interesting is I came across this article by 143 00:08:22,320 --> 00:08:25,560 Speaker 1: someone named Alexander Levine in Politico, and it's about a 144 00:08:25,600 --> 00:08:29,800 Speaker 1: particular app called Crisis text Line, and it's so fascinating. 145 00:08:29,920 --> 00:08:34,120 Speaker 1: They scrape the data of like your name and your birthday, 146 00:08:34,160 --> 00:08:37,360 Speaker 1: but then they send it to like tech companies that 147 00:08:37,440 --> 00:08:41,280 Speaker 1: want their AI customer service bots to come across as 148 00:08:41,320 --> 00:08:45,920 Speaker 1: more empathetic, and they use the findings from the therapy 149 00:08:45,920 --> 00:08:49,440 Speaker 1: sessions to make the bots more empathetic, which is so 150 00:08:49,600 --> 00:08:53,000 Speaker 1: creepy and awful, but I'm glad I know about it. 151 00:08:54,440 --> 00:08:58,280 Speaker 1: So they they find out that you are just using 152 00:08:58,320 --> 00:09:01,960 Speaker 1: the app in general, and then from that they send 153 00:09:02,000 --> 00:09:04,160 Speaker 1: it to the tech companies and they're like, this is 154 00:09:04,200 --> 00:09:08,720 Speaker 1: somebody who values their mental health, and therefore we're going 155 00:09:08,800 --> 00:09:11,640 Speaker 1: to make serie nicer to them. That's one way of 156 00:09:11,679 --> 00:09:14,040 Speaker 1: doing it. But I also think they have like researchers 157 00:09:14,040 --> 00:09:16,240 Speaker 1: and they're being like, oh, so when someone says this 158 00:09:16,320 --> 00:09:18,760 Speaker 1: to someone, this is how they react, and they like 159 00:09:19,480 --> 00:09:22,760 Speaker 1: they're making like it's not so personalized. They're like, overall, 160 00:09:22,840 --> 00:09:27,200 Speaker 1: let's have our customer service spots not be dicks to people, right, 161 00:09:27,679 --> 00:09:29,679 Speaker 1: But I kinda wonder like it just seems like one 162 00:09:29,720 --> 00:09:31,559 Speaker 1: of those things that like a tech company would think 163 00:09:31,600 --> 00:09:34,079 Speaker 1: of instead of just writing the scripts in a nice way. 164 00:09:34,120 --> 00:09:36,520 Speaker 1: In the first place, they're like, we gotta buy people's 165 00:09:36,600 --> 00:09:39,280 Speaker 1: people's facts and data to figure out how to do this. 166 00:09:39,920 --> 00:09:44,600 Speaker 1: I personally, I like some tough love from my Alexa real, Yeah, 167 00:09:44,720 --> 00:09:47,840 Speaker 1: just tell me I'm look like ship today when I 168 00:09:47,960 --> 00:09:51,480 Speaker 1: agreet her in the morning. Does she do that? Yeah? 169 00:09:51,600 --> 00:09:55,120 Speaker 1: Oh yeah, she's all over me. Yeah. No. That does 170 00:09:55,160 --> 00:09:59,320 Speaker 1: seem like a fairly easy one to if you're just 171 00:09:59,360 --> 00:10:02,960 Speaker 1: like cranking the personality in one direction or the other. 172 00:10:03,240 --> 00:10:06,080 Speaker 1: I would think nice would be would be kind of 173 00:10:06,120 --> 00:10:09,920 Speaker 1: a an easy an easy for them, you would think, 174 00:10:10,000 --> 00:10:12,679 Speaker 1: But I guess some programmers have to like be given 175 00:10:12,760 --> 00:10:17,320 Speaker 1: charts to prove that. But I also think it's probably 176 00:10:17,360 --> 00:10:21,679 Speaker 1: about being more personal because boss are just neutral, right, 177 00:10:21,920 --> 00:10:26,040 Speaker 1: typically not mean or or anything, just neutral. And I 178 00:10:26,080 --> 00:10:29,440 Speaker 1: think most likely by giving them empty technology, it's like, 179 00:10:30,720 --> 00:10:34,360 Speaker 1: can that sorry sound genuinely sorry? And what's the tone 180 00:10:34,360 --> 00:10:37,520 Speaker 1: and inflection? Do we up that? Like? Six? Yeah, I 181 00:10:37,559 --> 00:10:40,920 Speaker 1: mean I think they're neutral according to whoever wrote the program, right, 182 00:10:41,160 --> 00:10:45,400 Speaker 1: like the inherent bias, So like, yeah, maybe maybe they 183 00:10:45,440 --> 00:10:47,400 Speaker 1: are really rude and they have to be tweeked so 184 00:10:47,400 --> 00:10:50,520 Speaker 1: many times before they can even be like baseline kind, 185 00:10:53,160 --> 00:11:02,360 Speaker 1: I'm sorry, Luke Skywalker instead of sorry, what is something 186 00:11:02,400 --> 00:11:05,400 Speaker 1: you think is overrated? Well, right now, I'm going to 187 00:11:05,480 --> 00:11:08,960 Speaker 1: say shake Shack because I'm in particular piss that they're 188 00:11:08,960 --> 00:11:10,920 Speaker 1: building one in my neighborhood and I just don't want 189 00:11:11,000 --> 00:11:15,080 Speaker 1: it here. So I overrated, get out of here? Is 190 00:11:15,120 --> 00:11:17,040 Speaker 1: it a New York to l a thing? Is it 191 00:11:17,120 --> 00:11:19,080 Speaker 1: a this line will be wrapped around my block and 192 00:11:19,080 --> 00:11:21,680 Speaker 1: I don't need all these people here things. Yeah, it's 193 00:11:21,720 --> 00:11:25,080 Speaker 1: the fact that I live in silver Lake and it's 194 00:11:25,080 --> 00:11:27,560 Speaker 1: just there's a Lulu Lemon in silver Lake now and 195 00:11:27,600 --> 00:11:29,440 Speaker 1: I'm like, okay, here we go, this is it. And 196 00:11:29,480 --> 00:11:31,679 Speaker 1: then you know, a week later they're like, and a 197 00:11:31,760 --> 00:11:35,920 Speaker 1: shake Shack. No, not my neighborhood. I gentrified this. I 198 00:11:35,920 --> 00:11:38,240 Speaker 1: don't want it to continue to be gentrified. Thank you. 199 00:11:41,600 --> 00:11:44,040 Speaker 1: Someone who formerly lived in a super cute neighborhood in 200 00:11:44,120 --> 00:11:46,360 Speaker 1: Chicago and then suddenly saw like, oh no, there's a 201 00:11:46,440 --> 00:11:51,960 Speaker 1: Jenny's there now here it comes its white moms. Yeah, 202 00:11:53,240 --> 00:11:57,640 Speaker 1: it's rough. I don't care for it. Jenny's, Jenny's and 203 00:11:57,679 --> 00:11:59,360 Speaker 1: shake Shack. I do feel like those are the ones 204 00:11:59,400 --> 00:12:03,040 Speaker 1: that everyone's all right, that's cool. Like the like the 205 00:12:03,240 --> 00:12:08,880 Speaker 1: people who aren't, you know, so averse to gentrification will 206 00:12:08,920 --> 00:12:12,000 Speaker 1: be like, oh, but chick check is good. Yeah, I 207 00:12:12,000 --> 00:12:14,560 Speaker 1: mean STI is full of that right now. Like we 208 00:12:14,640 --> 00:12:17,120 Speaker 1: have a location of tartein which is a famous San 209 00:12:17,160 --> 00:12:19,679 Speaker 1: Francisco bakery. It's like, okay, it's just like it's from 210 00:12:19,720 --> 00:12:23,000 Speaker 1: San Francisco. It's family owned, but they're also very anti union. 211 00:12:23,600 --> 00:12:27,280 Speaker 1: I don't know, you can't win. You can't win with 212 00:12:27,320 --> 00:12:34,000 Speaker 1: corporations generally tough to to find a reliably good one 213 00:12:34,160 --> 00:12:37,640 Speaker 1: to root for. Its true. Yeah, do you and as 214 00:12:37,679 --> 00:12:41,520 Speaker 1: a food person, do you just generally are you are 215 00:12:41,559 --> 00:12:45,000 Speaker 1: you kind of not not into the offerings of shake 216 00:12:45,080 --> 00:12:47,920 Speaker 1: check or you think it's just kind of how what 217 00:12:47,960 --> 00:12:50,600 Speaker 1: are your thoughts there? I think shake check is taste 218 00:12:50,679 --> 00:12:53,839 Speaker 1: very good. I personally get sick every time I eat there. 219 00:12:53,880 --> 00:12:57,199 Speaker 1: That's my personal journey. So that's another part of it too. 220 00:12:57,200 --> 00:12:59,360 Speaker 1: It's like I'm not going to go there. I don't 221 00:12:59,360 --> 00:13:03,640 Speaker 1: want it, right, God, you have high standards. You don't 222 00:13:03,640 --> 00:13:10,440 Speaker 1: want to get sick from the food. Yeah. I like that. 223 00:13:10,440 --> 00:13:14,000 Speaker 1: That's something that I think people just wrote off Taco 224 00:13:14,040 --> 00:13:17,200 Speaker 1: bell as like the food that makes you sick every 225 00:13:17,200 --> 00:13:21,640 Speaker 1: time you go there. But I like it is not 226 00:13:21,800 --> 00:13:24,040 Speaker 1: one of the fast foods that makes me sick. And 227 00:13:24,080 --> 00:13:27,160 Speaker 1: I would somewhat agree that shake shack. I I don't 228 00:13:27,200 --> 00:13:30,720 Speaker 1: feel great after I eat it, that's for sure. Yeah, 229 00:13:30,920 --> 00:13:33,559 Speaker 1: I don't know, it's like very rich. It's like I 230 00:13:33,800 --> 00:13:35,520 Speaker 1: feel the way in general if I eat to really 231 00:13:35,559 --> 00:13:40,000 Speaker 1: like rich meal at a restaurant as opposed to like 232 00:13:40,000 --> 00:13:42,320 Speaker 1: a fast food place, like I feel worse than I 233 00:13:42,360 --> 00:13:45,520 Speaker 1: do if I just like eat a straightforward meal at 234 00:13:45,520 --> 00:13:48,600 Speaker 1: Taco bellt like what I usually get a talk about. So, 235 00:13:48,760 --> 00:13:52,320 Speaker 1: I don't know if it's just like they're it's so rich, 236 00:13:52,640 --> 00:13:56,960 Speaker 1: like so professionally rich. They have like just crammed butter 237 00:13:57,120 --> 00:14:01,040 Speaker 1: into every single fold that it not to talk about 238 00:14:01,080 --> 00:14:04,560 Speaker 1: is good for you? Right? But we also like react 239 00:14:04,600 --> 00:14:07,520 Speaker 1: to things differently, and I think we're probably each one 240 00:14:07,520 --> 00:14:09,600 Speaker 1: of us is like more allergic to some kind of 241 00:14:09,600 --> 00:14:14,320 Speaker 1: oil than another. Right, Yeah, that's my guess. I feel 242 00:14:14,320 --> 00:14:16,640 Speaker 1: like the second life of food would be like a 243 00:14:16,679 --> 00:14:18,800 Speaker 1: good like you don't you don't see that as much 244 00:14:19,120 --> 00:14:23,680 Speaker 1: on like scores, like on like yelp or whatever is like, 245 00:14:23,720 --> 00:14:27,000 Speaker 1: and then for the six hours after you ate there, 246 00:14:27,040 --> 00:14:30,400 Speaker 1: what was your life like? Unless it's like real bad 247 00:14:30,720 --> 00:14:33,840 Speaker 1: and then in which case, like you'll it'll get mentioned. 248 00:14:33,880 --> 00:14:37,080 Speaker 1: But I like that that's a good metric. Yeah, you're right, 249 00:14:37,080 --> 00:14:41,320 Speaker 1: it's under explored for sure. Yeah, Joel shake shack any 250 00:14:41,560 --> 00:14:45,680 Speaker 1: fan uh, I was excited when I first came to 251 00:14:45,920 --> 00:14:47,920 Speaker 1: l A. It's like a New York thing before we're 252 00:14:47,960 --> 00:14:52,840 Speaker 1: like shake shack. It's better than in and out. If 253 00:14:52,840 --> 00:14:54,640 Speaker 1: we want to sign those words, it is better than 254 00:14:54,680 --> 00:15:00,240 Speaker 1: in and out. I'm sorry. Ye, in and out is 255 00:15:00,400 --> 00:15:04,000 Speaker 1: a value proposition, like at its core, Like that's what 256 00:15:04,480 --> 00:15:07,480 Speaker 1: that's makes. It makes sense to me when people are 257 00:15:07,560 --> 00:15:12,560 Speaker 1: like in and out is like the best it's like four. 258 00:15:12,960 --> 00:15:15,040 Speaker 1: You have an argument if you're talking about like four 259 00:15:15,360 --> 00:15:19,280 Speaker 1: per penny, it might be the best fast food. But 260 00:15:19,440 --> 00:15:21,240 Speaker 1: I don't think Yeah, I don't think it compared like 261 00:15:21,240 --> 00:15:26,240 Speaker 1: shake check is a higher price point than most fast foods, right, yeah, 262 00:15:26,280 --> 00:15:29,160 Speaker 1: I think they're basically like we might as well just 263 00:15:29,160 --> 00:15:31,800 Speaker 1: not compare them, like you said, Yeah, they're two totally 264 00:15:31,800 --> 00:15:35,480 Speaker 1: different things. We can like them all. Yeah, and super 265 00:15:35,520 --> 00:15:39,600 Speaker 1: producer Becca who lives in New York is team in 266 00:15:39,640 --> 00:15:44,200 Speaker 1: and out, so you know, it's makes sense. I think 267 00:15:44,200 --> 00:15:48,480 Speaker 1: we I probably like shake check Wave before it was 268 00:15:48,720 --> 00:15:52,200 Speaker 1: more back when it was not available in Los Angeles, 269 00:15:52,240 --> 00:15:55,320 Speaker 1: you know, it was like damn id. I smelled it 270 00:15:55,440 --> 00:15:59,040 Speaker 1: once when I was walking by absurdly long line in 271 00:15:59,080 --> 00:16:03,000 Speaker 1: New York. But yeah, and then like once it was 272 00:16:03,080 --> 00:16:05,000 Speaker 1: something that we could get every once in a while 273 00:16:05,160 --> 00:16:08,800 Speaker 1: for lunch at the office, back when we all worked 274 00:16:08,840 --> 00:16:12,760 Speaker 1: in the same office. Maybecause I like found myself being 275 00:16:12,800 --> 00:16:18,520 Speaker 1: like okay, like that's an option available, yeah, where I 276 00:16:18,560 --> 00:16:21,360 Speaker 1: could have the rest of my day like sitting up 277 00:16:21,440 --> 00:16:27,640 Speaker 1: right and feeling okay about myself. Just what is what's 278 00:16:27,640 --> 00:16:31,360 Speaker 1: something you think is underrated? Katherine Um, I was thinking, 279 00:16:31,480 --> 00:16:35,480 Speaker 1: probably because of the news, but buying music like actually 280 00:16:35,560 --> 00:16:38,520 Speaker 1: paying money and then owning a copy of the song 281 00:16:38,640 --> 00:16:40,320 Speaker 1: or the album that you paid money for, even if 282 00:16:40,320 --> 00:16:43,840 Speaker 1: it's still just digital, like actually paying for it. People 283 00:16:43,880 --> 00:16:46,040 Speaker 1: make straight up make fun of me for still having 284 00:16:46,080 --> 00:16:48,560 Speaker 1: iTunes like the old version that you have to like 285 00:16:48,560 --> 00:16:51,360 Speaker 1: pay one song for, and I'm like, excuse me, I'm 286 00:16:51,400 --> 00:16:56,520 Speaker 1: helping artists, So you get to feel smug about it too, Katherine, 287 00:16:56,560 --> 00:16:58,640 Speaker 1: Have I got an n f T offering for you? 288 00:17:00,480 --> 00:17:04,119 Speaker 1: I'm just kidding. This is my friend Hector Navarro, who's 289 00:17:04,160 --> 00:17:07,879 Speaker 1: an I heeart host. He does the Less Airbender series. 290 00:17:08,560 --> 00:17:11,119 Speaker 1: But he is a big proponent of like, listen, you 291 00:17:11,160 --> 00:17:15,199 Speaker 1: have to own DVDs. Don't let them control when you 292 00:17:15,280 --> 00:17:17,960 Speaker 1: can and cannot see a movie. Suddenly it is not 293 00:17:18,000 --> 00:17:20,680 Speaker 1: on the streaming clap even if you buy on streaming platform, 294 00:17:20,720 --> 00:17:23,160 Speaker 1: if they decide not to carry that in a library, 295 00:17:23,200 --> 00:17:26,520 Speaker 1: your purchase just disappears into thin air. It's not authentic, 296 00:17:27,119 --> 00:17:32,160 Speaker 1: you're Until recently, most spaces didn't harbor any like most 297 00:17:32,200 --> 00:17:35,560 Speaker 1: spaces didn't host any of their additional content from the DVD. 298 00:17:35,680 --> 00:17:38,399 Speaker 1: So the director's commentary, which can be a whole wealth 299 00:17:38,440 --> 00:17:42,359 Speaker 1: of like information, original trailers, which if you're like I 300 00:17:42,440 --> 00:17:46,560 Speaker 1: love a trailer, especially the evolution the nineties had trailers covered. 301 00:17:46,960 --> 00:17:49,000 Speaker 1: That was when we got our big deep announcer voice 302 00:17:49,000 --> 00:17:52,000 Speaker 1: guide to tell us the coming attractions. But there's like 303 00:17:52,040 --> 00:17:56,320 Speaker 1: a lot of important history stored on DVDs. His library 304 00:17:56,359 --> 00:17:58,760 Speaker 1: is he he literally has a DVD library where you, 305 00:17:58,920 --> 00:18:01,280 Speaker 1: as a friend can come over and check out a 306 00:18:01,359 --> 00:18:04,160 Speaker 1: DVD or a comic book. It's the best thing ever, 307 00:18:04,520 --> 00:18:06,240 Speaker 1: but it's completely turned me onto being like, oh, I 308 00:18:06,280 --> 00:18:10,760 Speaker 1: really need to have physical, hard materials. If I really 309 00:18:10,760 --> 00:18:13,760 Speaker 1: want to respect and value the art form essentially what 310 00:18:13,840 --> 00:18:16,199 Speaker 1: it is an underrated experience, Like I'm gonna pop in 311 00:18:16,240 --> 00:18:18,639 Speaker 1: this DVD and like, see just what's on here? Like 312 00:18:18,680 --> 00:18:21,720 Speaker 1: what other treasures besides the movie are sitting in here? 313 00:18:22,320 --> 00:18:25,119 Speaker 1: I love that. I love that he has a lending library. 314 00:18:25,160 --> 00:18:29,840 Speaker 1: That's adorable. He's the best. It's so it's so cute. 315 00:18:29,880 --> 00:18:31,600 Speaker 1: And then you know actors one of those guys who 316 00:18:31,600 --> 00:18:33,520 Speaker 1: can tell you then the history. He's just like a 317 00:18:33,560 --> 00:18:36,320 Speaker 1: living oral history of the film too. And you're like, yeah, 318 00:18:36,440 --> 00:18:41,200 Speaker 1: like inform me, buddy, uh learning? So yeah, definitely by 319 00:18:41,280 --> 00:18:45,600 Speaker 1: hard copies of the things you love, Okay. Yeah. And 320 00:18:45,640 --> 00:18:48,600 Speaker 1: the trailers is something that I hadn't really fully I 321 00:18:48,680 --> 00:18:50,639 Speaker 1: thought about. That was always something I'd be like, why 322 00:18:51,040 --> 00:18:54,119 Speaker 1: are they showing this at the beginning of a DVD? 323 00:18:54,280 --> 00:18:57,840 Speaker 1: Like that's so annoying? And now I would kill to 324 00:18:58,040 --> 00:19:01,280 Speaker 1: have those all DVDs that have just a random like 325 00:19:02,080 --> 00:19:04,800 Speaker 1: why is there a she's all that trailer at the 326 00:19:04,840 --> 00:19:15,720 Speaker 1: beginning the old FBI warnings which two thousands like Dodgy, 327 00:19:15,960 --> 00:19:18,840 Speaker 1: you wouldn't steal a car? Would you give me all 328 00:19:18,880 --> 00:19:22,280 Speaker 1: the life? Beautiful? I wonder if you can get DVDs 329 00:19:22,320 --> 00:19:27,000 Speaker 1: like a good will or something like where's them? If 330 00:19:27,040 --> 00:19:29,480 Speaker 1: you run into an old video store, there's some still 331 00:19:29,600 --> 00:19:31,760 Speaker 1: lurking out there. A lot of times they'll have them. 332 00:19:32,080 --> 00:19:35,040 Speaker 1: Becca suggests half Price Books, which is also a great 333 00:19:35,040 --> 00:19:37,840 Speaker 1: place to get them. If you happen to live near 334 00:19:38,000 --> 00:19:40,960 Speaker 1: an old record store that's still operational, you can get 335 00:19:41,040 --> 00:19:44,320 Speaker 1: DVDs in most of those spaces. And then of course 336 00:19:44,880 --> 00:19:47,440 Speaker 1: if you are have to go to a box store, 337 00:19:47,480 --> 00:19:49,320 Speaker 1: any of them will have just a giant bin of like, 338 00:19:49,400 --> 00:19:52,679 Speaker 1: here's just a giant thing of DVDs. But you can 339 00:19:52,720 --> 00:19:56,720 Speaker 1: also rent DVDs from the library. Right, but in terms 340 00:19:56,800 --> 00:19:59,680 Speaker 1: of owning it, you know, you just don't give it back, 341 00:20:00,160 --> 00:20:07,119 Speaker 1: right Yeah? Yeah, Yeah, that was greedy libraries. What are 342 00:20:07,160 --> 00:20:13,080 Speaker 1: they gonna leave us alone? Yeah? The I I my 343 00:20:13,440 --> 00:20:17,000 Speaker 1: younger sister still big into the DVDs. I got her 344 00:20:17,240 --> 00:20:22,080 Speaker 1: ten for Christmas, and going shopping for them was just 345 00:20:22,800 --> 00:20:27,240 Speaker 1: one of the more enjoyable like media buying experiences. I 346 00:20:27,280 --> 00:20:30,479 Speaker 1: did get them at Barnes and Noble because that's just 347 00:20:30,720 --> 00:20:34,440 Speaker 1: it was there, but so not at least it's not Amazon. 348 00:20:34,560 --> 00:20:38,800 Speaker 1: But that's a very very low bar. Speaking of low bars, 349 00:20:38,880 --> 00:20:41,800 Speaker 1: it's like when Jon Stewart said that Joe Rogan isn't 350 00:20:41,880 --> 00:20:44,720 Speaker 1: as bad as Tucker Carlson and therefore he's okay. It's 351 00:20:44,760 --> 00:20:48,640 Speaker 1: like still still not great man. Yeah, but at least 352 00:20:48,640 --> 00:20:51,359 Speaker 1: you're buying physical media like you were doing things that 353 00:20:51,400 --> 00:20:55,400 Speaker 1: are good. So I think humulatively you came out of head. Yeah. Anyways, 354 00:20:55,520 --> 00:20:59,639 Speaker 1: good times had by all. Let's take a quick break 355 00:20:59,680 --> 00:21:14,400 Speaker 1: and we'll be right back. And we're back and yeah, 356 00:21:14,400 --> 00:21:16,920 Speaker 1: So we don't usually do a lot of local news 357 00:21:16,960 --> 00:21:19,520 Speaker 1: on this show, but this is I feel like a 358 00:21:19,640 --> 00:21:23,040 Speaker 1: fairly good microcosm for the way that America is dealing 359 00:21:23,200 --> 00:21:28,719 Speaker 1: with the current moment. And you know, there's a in 360 00:21:28,760 --> 00:21:33,359 Speaker 1: many cities there's a slight to pronounced increasing crime, but 361 00:21:33,520 --> 00:21:37,400 Speaker 1: police departments across the country are spending billions of dollars 362 00:21:37,440 --> 00:21:40,199 Speaker 1: to get people on board with the idea that the 363 00:21:40,240 --> 00:21:44,240 Speaker 1: reason there's a slight increasing crime is because people showed 364 00:21:44,359 --> 00:21:47,320 Speaker 1: support for the idea that black lives matter, like that 365 00:21:47,359 --> 00:21:50,919 Speaker 1: seems to be their thesis on it, and that they've 366 00:21:50,920 --> 00:21:54,040 Speaker 1: been like that their budgets have been slashed instead of 367 00:21:54,280 --> 00:21:59,720 Speaker 1: still being massive. And so in l A, there's a 368 00:22:00,000 --> 00:22:05,800 Speaker 1: aggressive district attorney who was elected during the demonstrations of 369 00:22:06,920 --> 00:22:10,600 Speaker 1: and is now facing a second, very energetic and well 370 00:22:10,680 --> 00:22:15,760 Speaker 1: funded recall campaign being funded by not just like conservatives, 371 00:22:15,800 --> 00:22:20,119 Speaker 1: but also like George Clooney's producing partner, and like various 372 00:22:20,359 --> 00:22:25,440 Speaker 1: Hollywood rich people who are of the opinion that l 373 00:22:25,520 --> 00:22:29,360 Speaker 1: A is just crime, is out of control. So that 374 00:22:29,520 --> 00:22:32,480 Speaker 1: is what this l A magazine articles about. It is 375 00:22:32,520 --> 00:22:37,639 Speaker 1: authored by a person whose background is in real estate reporting. 376 00:22:37,960 --> 00:22:41,800 Speaker 1: For I think the Hollywood Reporter real estate tends to 377 00:22:42,040 --> 00:22:44,400 Speaker 1: you know, especially reporting on real estate tends to put 378 00:22:44,440 --> 00:22:47,880 Speaker 1: you in into contact with a bunch of very rich 379 00:22:47,960 --> 00:22:53,359 Speaker 1: people whose entire sort of worldview is underpinned by the 380 00:22:53,400 --> 00:22:57,480 Speaker 1: idea of private property and protecting private property. So that 381 00:22:57,640 --> 00:22:59,919 Speaker 1: was helpful context for me. Like after I read it 382 00:23:00,119 --> 00:23:03,320 Speaker 1: was like, wait, who the fuck wrote this? But anyways, 383 00:23:03,440 --> 00:23:11,200 Speaker 1: so the article buries some statistical like nuance in paragraphs 384 00:23:11,200 --> 00:23:16,080 Speaker 1: and paragraphs of just unsourced complaints from rich people, like 385 00:23:16,119 --> 00:23:18,359 Speaker 1: I could summarize one, but I think I should just 386 00:23:18,400 --> 00:23:22,560 Speaker 1: read this one like quote a direct quote from somebody 387 00:23:22,840 --> 00:23:26,320 Speaker 1: who they're using as a source to prove that l 388 00:23:26,400 --> 00:23:29,960 Speaker 1: A is out of control. Quote, I have to get 389 00:23:29,960 --> 00:23:32,280 Speaker 1: an armed driver to go out at night, and I'm 390 00:23:32,400 --> 00:23:34,800 Speaker 1: constantly checking my rear view to make sure I'm not 391 00:23:34,840 --> 00:23:37,760 Speaker 1: being followed, complains the wife of a prominent bel air 392 00:23:37,880 --> 00:23:41,520 Speaker 1: finance here. I don't dare wear jewelry or nice bags 393 00:23:41,520 --> 00:23:44,080 Speaker 1: when I go out. It's no fun in this town anymore. 394 00:23:44,400 --> 00:23:47,600 Speaker 1: If this continues much longer, I'm moving to Palm Beach. 395 00:23:48,960 --> 00:23:54,600 Speaker 1: I'm moving to get out here. Wants you in this 396 00:23:54,680 --> 00:23:58,280 Speaker 1: city l A. Rich people are so spoiled, like the 397 00:23:58,320 --> 00:24:01,760 Speaker 1: idea that not not if their wealth has spoiled them, 398 00:24:01,960 --> 00:24:05,919 Speaker 1: but also just this idea that there's a port near me. 399 00:24:06,000 --> 00:24:08,720 Speaker 1: It's terrifying. I don't know what to do. I saw 400 00:24:08,760 --> 00:24:11,680 Speaker 1: a tent on the ground today, and it's chaos out 401 00:24:11,680 --> 00:24:15,479 Speaker 1: here like every other city, like there's uh pretty like 402 00:24:16,720 --> 00:24:20,960 Speaker 1: from classes have to intermingle regularly. But because our trance 403 00:24:21,080 --> 00:24:22,760 Speaker 1: system has been set up the way it's been set up, 404 00:24:23,000 --> 00:24:26,720 Speaker 1: their pockets in Los Angeles County that just aren't touched, 405 00:24:27,400 --> 00:24:30,040 Speaker 1: you know, or it's it's a difficult journey to make 406 00:24:30,080 --> 00:24:32,680 Speaker 1: if you don't have funds. And I don't even mean 407 00:24:32,720 --> 00:24:37,440 Speaker 1: like you know, unhoused. I'm talking about like just trying 408 00:24:37,440 --> 00:24:40,440 Speaker 1: to get a bus into Beverly Hills is an ordeal. 409 00:24:40,680 --> 00:24:43,360 Speaker 1: It is an ordeal to try to get to Beverly Hills, 410 00:24:43,440 --> 00:24:45,040 Speaker 1: if you if you have to work there, if you 411 00:24:45,040 --> 00:24:48,080 Speaker 1: have an interview around there, it's it's a nightmare, and 412 00:24:48,119 --> 00:24:50,680 Speaker 1: it's it's kind of it's it's not shocking, but it's 413 00:24:50,680 --> 00:24:53,800 Speaker 1: still extremely disturbing to be like this has been happening 414 00:24:54,760 --> 00:24:56,360 Speaker 1: not that far away from you guys for a very 415 00:24:56,400 --> 00:24:58,240 Speaker 1: long time. Like I don't know if you've been to 416 00:24:58,280 --> 00:25:02,680 Speaker 1: skid Row, but it's nightmare of a human rights condition, 417 00:25:02,760 --> 00:25:05,159 Speaker 1: Like it's it's it's awful for people who have no 418 00:25:05,200 --> 00:25:06,959 Speaker 1: place else to go to have to gather there and 419 00:25:07,000 --> 00:25:12,760 Speaker 1: then we treated so cruelly. This actually, this quote reminds 420 00:25:12,800 --> 00:25:14,560 Speaker 1: me of when I was in college. I used to 421 00:25:14,720 --> 00:25:18,560 Speaker 1: nanny for some rich people in Montecito, California, and they 422 00:25:18,560 --> 00:25:21,639 Speaker 1: had lived in the Hollywood Hills in the early nineties. 423 00:25:22,320 --> 00:25:25,800 Speaker 1: And the patriarch of the family I nanny for telling 424 00:25:25,840 --> 00:25:29,480 Speaker 1: me that during the l A riots, he and all 425 00:25:29,560 --> 00:25:31,679 Speaker 1: of all all the other dudes in the neighborhood like 426 00:25:31,760 --> 00:25:33,760 Speaker 1: drove their cars down to the end of the street 427 00:25:33,840 --> 00:25:35,840 Speaker 1: and blockaded it with their cars and stood on top 428 00:25:35,880 --> 00:25:39,120 Speaker 1: of their cars with their guns. And it's just like 429 00:25:40,040 --> 00:25:42,119 Speaker 1: that was just the most exciting thing that's ever happened 430 00:25:42,119 --> 00:25:43,919 Speaker 1: to you, wasn't it. This is so fun for you, 431 00:25:44,000 --> 00:25:46,000 Speaker 1: in the same way that this woman saying that she 432 00:25:46,080 --> 00:25:48,680 Speaker 1: can't wear jewelry out is just the best thing that's 433 00:25:48,680 --> 00:25:52,680 Speaker 1: ever happened to her, Right, so exciting, it's so exciting, 434 00:25:54,000 --> 00:26:00,840 Speaker 1: it's right, Palm Beach being like, can you imagine that quote. 435 00:26:00,840 --> 00:26:02,960 Speaker 1: I'm not saying this quote is made up. I'm absolutely 436 00:26:02,960 --> 00:26:04,639 Speaker 1: not saying it, but it should have sound like it, 437 00:26:04,880 --> 00:26:07,800 Speaker 1: Like I think that who still talks this way? No one, 438 00:26:07,840 --> 00:26:10,800 Speaker 1: I know. I think I think you would make this 439 00:26:10,880 --> 00:26:13,080 Speaker 1: quote up if you were intending to make fun of it. 440 00:26:13,240 --> 00:26:16,760 Speaker 1: But the fact that this is used as evidence, like 441 00:26:17,080 --> 00:26:20,800 Speaker 1: so the article has this pattern of it will like 442 00:26:20,960 --> 00:26:25,000 Speaker 1: give a bunch of like anecdotal ship about like this 443 00:26:25,119 --> 00:26:28,880 Speaker 1: rich party got robbed and this rich woman was murdered, 444 00:26:29,000 --> 00:26:31,720 Speaker 1: like at her house in I think it was in 445 00:26:31,760 --> 00:26:36,000 Speaker 1: Beverly Hills, and you know, anecdotal stuff, and then they'll 446 00:26:36,000 --> 00:26:39,200 Speaker 1: be like, but here's evidence that like this is actually 447 00:26:39,880 --> 00:26:44,840 Speaker 1: just some sensational anecdotal stuff that you know, statistics say 448 00:26:45,080 --> 00:26:48,720 Speaker 1: is sort of a small rise that is in no 449 00:26:48,800 --> 00:26:53,240 Speaker 1: way comparable to past crime waves in Los Angeles, like, 450 00:26:53,680 --> 00:26:58,560 Speaker 1: very recently, this would be something that you would be 451 00:26:58,680 --> 00:27:02,320 Speaker 1: really happy with. But the lease are really trying to 452 00:27:02,640 --> 00:27:06,960 Speaker 1: do everything in their power to make people feel like 453 00:27:07,640 --> 00:27:13,080 Speaker 1: the d A and the social justice movement have turned 454 00:27:13,760 --> 00:27:17,920 Speaker 1: Los Angeles into just a healthscape and it's it's working. 455 00:27:17,960 --> 00:27:21,240 Speaker 1: It really feels like it's working. Yeah, the whole strategy. 456 00:27:21,560 --> 00:27:25,679 Speaker 1: I actually quit next door shortly after Gascon was elected 457 00:27:25,720 --> 00:27:27,879 Speaker 1: because people like it got to be too much. I 458 00:27:27,920 --> 00:27:30,840 Speaker 1: had to sign off for my mental health. But before 459 00:27:30,920 --> 00:27:34,400 Speaker 1: he was in office, people were talking about how now 460 00:27:34,480 --> 00:27:37,040 Speaker 1: the city was crime written and the cops won't respond 461 00:27:37,119 --> 00:27:39,760 Speaker 1: because of Gascon. But he wasn't in office yet, so 462 00:27:39,880 --> 00:27:44,120 Speaker 1: before he even had any authority, people were like, well, 463 00:27:44,160 --> 00:27:46,720 Speaker 1: here we go, it's the end times. Yeah, they just 464 00:27:46,760 --> 00:27:49,800 Speaker 1: made it up. People are so comfortable just making things up. Yeah. 465 00:27:49,800 --> 00:27:54,399 Speaker 1: The police also would respond to requests for you know, 466 00:27:54,480 --> 00:27:59,080 Speaker 1: help or wellness checks or any anything, would respond to 467 00:27:59,119 --> 00:28:02,960 Speaker 1: those calls by saying, sorry, we've been defunded. Before that 468 00:28:03,200 --> 00:28:06,520 Speaker 1: was even remotely true and still has not to this 469 00:28:06,600 --> 00:28:09,560 Speaker 1: point been true in any significant way that would prevent 470 00:28:09,640 --> 00:28:12,800 Speaker 1: them from doing their job. But I have a police 471 00:28:12,840 --> 00:28:17,359 Speaker 1: frequently look for reasons not to have to work, Like, like, 472 00:28:17,480 --> 00:28:19,959 Speaker 1: try telling you've been robbed. Try going to a police. 473 00:28:19,960 --> 00:28:24,639 Speaker 1: It's hilariously unhelpful. They're like, oh, you were robbed, so 474 00:28:24,680 --> 00:28:27,119 Speaker 1: the items are gone. Oh we can't what can we do? 475 00:28:27,240 --> 00:28:28,800 Speaker 1: What do you want from us? Why are we here? 476 00:28:29,280 --> 00:28:33,800 Speaker 1: I have video camera footage because they look at people 477 00:28:33,800 --> 00:28:35,880 Speaker 1: are dying. Do you know that people are murdered? I do? 478 00:28:36,000 --> 00:28:39,960 Speaker 1: But also you know items were stolen equal the law. 479 00:28:40,000 --> 00:28:42,000 Speaker 1: They're like, well, we're just not here for that kind 480 00:28:42,000 --> 00:28:46,760 Speaker 1: of stuff. No help at all the police, just terrible organization. Oh, 481 00:28:46,880 --> 00:28:48,840 Speaker 1: my friend's house was broken into once and the cops 482 00:28:48,840 --> 00:28:50,720 Speaker 1: were She called the cops and they were looking around 483 00:28:50,720 --> 00:28:53,160 Speaker 1: and they're like, well, sorry, we don't see any evidence anywhere. 484 00:28:53,160 --> 00:28:55,480 Speaker 1: And she's like, how about the matching footprints going up 485 00:28:55,480 --> 00:28:57,680 Speaker 1: the exterior wall and down the interior wall. And they 486 00:28:57,720 --> 00:29:05,400 Speaker 1: were like, nah, you probably made those. Yeah, they're comfortable 487 00:29:05,440 --> 00:29:10,240 Speaker 1: saying that stuff. They really don't care. Yeah. Yeah, it's 488 00:29:10,280 --> 00:29:13,200 Speaker 1: got to be scary knowing the days of an ageled institution. 489 00:29:13,200 --> 00:29:14,440 Speaker 1: It is the only place you tho you're gonna work 490 00:29:14,440 --> 00:29:19,120 Speaker 1: are ending. But it's kind Yeah, but I feel this 491 00:29:19,240 --> 00:29:22,360 Speaker 1: is I do think that this is a formidable, like 492 00:29:22,560 --> 00:29:26,960 Speaker 1: counter that they're waging with like the mainstream media, the 493 00:29:27,080 --> 00:29:31,200 Speaker 1: local news, and a billions of it. Like as much 494 00:29:31,200 --> 00:29:34,880 Speaker 1: as they like to claim that there budget has been slashed, 495 00:29:34,960 --> 00:29:39,200 Speaker 1: their budget is actually still incredibly high, so high that 496 00:29:39,240 --> 00:29:42,040 Speaker 1: they have like a sixty person PR division that is 497 00:29:42,080 --> 00:29:45,680 Speaker 1: working on this ship around the clock to get stories 498 00:29:45,720 --> 00:29:50,000 Speaker 1: like this written. I do just because the level of 499 00:29:50,040 --> 00:29:52,840 Speaker 1: writing on this is so bad that I just have 500 00:29:53,000 --> 00:29:58,120 Speaker 1: to kind of keep pushing through. So what's At one point, 501 00:29:58,160 --> 00:30:02,280 Speaker 1: he talks about how next Up and Citizen are actually 502 00:30:02,320 --> 00:30:05,160 Speaker 1: causing a lot of you know, the fact that the 503 00:30:05,200 --> 00:30:08,760 Speaker 1: social media has had to come in where local reporting 504 00:30:09,080 --> 00:30:13,000 Speaker 1: used to do a job. I don't I wouldn't say 505 00:30:13,040 --> 00:30:15,240 Speaker 1: they used to do a great job. But he claims 506 00:30:15,280 --> 00:30:18,480 Speaker 1: that these are apps that were meant as well, meaning 507 00:30:18,520 --> 00:30:22,480 Speaker 1: places for neighbors to connect. What whereas like what one 508 00:30:22,520 --> 00:30:26,959 Speaker 1: of them, I think Citizen is actually like offering a 509 00:30:27,120 --> 00:30:29,080 Speaker 1: version of the app that gives you access to a 510 00:30:29,120 --> 00:30:33,840 Speaker 1: private security team. So it's all just it's exactly what. 511 00:30:34,320 --> 00:30:36,840 Speaker 1: It's so dystopian, like the fact that he's trying to 512 00:30:36,880 --> 00:30:40,800 Speaker 1: paint a picture of a dystopian landscape, but like he is, 513 00:30:41,680 --> 00:30:44,160 Speaker 1: he's the bad guy in the dystopia, like and the 514 00:30:44,200 --> 00:30:48,400 Speaker 1: stuff that he's like talking about is so blatant, but 515 00:30:48,520 --> 00:30:51,479 Speaker 1: he's just talking about the wrong part of it in 516 00:30:51,520 --> 00:30:54,440 Speaker 1: the wrong way. So like at one point he says, 517 00:30:54,440 --> 00:30:56,160 Speaker 1: on the one hand, there's the l A Times, which 518 00:30:56,240 --> 00:30:58,760 Speaker 1: argued in December fifteenth, he talks about an LA Times 519 00:30:58,840 --> 00:31:03,680 Speaker 1: article that puts the supposed crime wave and perspective. The 520 00:31:03,720 --> 00:31:06,880 Speaker 1: paper then doubled down with an editorial. You know, he 521 00:31:06,960 --> 00:31:10,120 Speaker 1: gives a really bad faith summary of the editorial, but 522 00:31:10,200 --> 00:31:13,960 Speaker 1: those are two articles that are based on fact and statistics. 523 00:31:14,320 --> 00:31:16,760 Speaker 1: But then he has a much longer paragraph. On the 524 00:31:16,800 --> 00:31:20,120 Speaker 1: other hand, there are people like Mark de Bonk, former 525 00:31:20,160 --> 00:31:23,600 Speaker 1: president of the l A Association of Deputy District Attorneys, 526 00:31:23,920 --> 00:31:27,400 Speaker 1: called that article bullshit, where l A Police Chief Michael Moore, 527 00:31:27,920 --> 00:31:31,040 Speaker 1: who you know, talked about there's a surge in crime 528 00:31:31,080 --> 00:31:34,959 Speaker 1: and expanding the l A p D. And then at 529 00:31:34,960 --> 00:31:37,240 Speaker 1: one point he's la or James McBride, director of l 530 00:31:37,280 --> 00:31:40,840 Speaker 1: A p Los Angeles Police Protective League, which you can 531 00:31:40,880 --> 00:31:44,600 Speaker 1: tell already that that person is a trustworthy, down the 532 00:31:44,760 --> 00:31:48,080 Speaker 1: down the middle individual who made national news this fall 533 00:31:48,160 --> 00:31:50,160 Speaker 1: when he warned tourists not to come to l A 534 00:31:50,280 --> 00:31:54,480 Speaker 1: during Christmas, comparing it to the Purge movies. Granted, So 535 00:31:54,760 --> 00:31:58,040 Speaker 1: at the end of that granted McBride a vocal Trump 536 00:31:58,040 --> 00:32:01,920 Speaker 1: supporter with an alarming on duty shooting record and a daughter, 537 00:32:02,560 --> 00:32:05,240 Speaker 1: M Dash, also a cop M Dash who is under 538 00:32:05,280 --> 00:32:08,880 Speaker 1: investigation for shooting an unarmed motorists pren c six times 539 00:32:08,880 --> 00:32:12,080 Speaker 1: in kind of fits the description of the right wing 540 00:32:12,120 --> 00:32:15,760 Speaker 1: fake news spreader that Times was referring to period but 541 00:32:15,960 --> 00:32:22,520 Speaker 1: still period, that's that's how still but still I didn't 542 00:32:22,520 --> 00:32:25,560 Speaker 1: know that was a thing a journalist could like, I 543 00:32:25,600 --> 00:32:29,480 Speaker 1: didn't know the phrase, but still I guess the sentence, 544 00:32:29,680 --> 00:32:32,680 Speaker 1: the complete sentence, but still was a tool in the 545 00:32:32,760 --> 00:32:37,160 Speaker 1: journalistic tool to egg. But that's the level of what 546 00:32:37,200 --> 00:32:40,840 Speaker 1: we're dealing with, and because it's so much more well 547 00:32:40,920 --> 00:32:43,960 Speaker 1: funded than any sort of social justice work, it is 548 00:32:44,920 --> 00:32:50,120 Speaker 1: seems to be succeeding in some places. So I try 549 00:32:50,160 --> 00:32:52,840 Speaker 1: to give journalists the benefit of the doubt because I 550 00:32:52,880 --> 00:32:54,800 Speaker 1: am a journalist and I don't think that there's any 551 00:32:54,880 --> 00:32:58,120 Speaker 1: like big background conspiracy to get journalism as a whole, 552 00:32:58,120 --> 00:33:00,640 Speaker 1: to like support the cops or anything like that. But 553 00:33:01,640 --> 00:33:05,719 Speaker 1: l A coverage of crime lately has been so weird. 554 00:33:05,880 --> 00:33:10,080 Speaker 1: There was not an editorial, but an article by staff writers. 555 00:33:10,320 --> 00:33:13,400 Speaker 1: Do you remember last month when that off duty l 556 00:33:13,400 --> 00:33:15,880 Speaker 1: a p D cop was killed? Like at night he 557 00:33:15,920 --> 00:33:18,200 Speaker 1: had been house hunting with his fiance and a car 558 00:33:18,280 --> 00:33:19,680 Speaker 1: rolled up on him with four people and they all 559 00:33:19,680 --> 00:33:23,200 Speaker 1: shot at him. Do you remember this? That's something that 560 00:33:23,240 --> 00:33:25,959 Speaker 1: happened last month, And a lot of people on Twitter 561 00:33:26,000 --> 00:33:29,080 Speaker 1: were like, he was house hunting at nine pm, which 562 00:33:29,160 --> 00:33:30,800 Speaker 1: for people who don't know, nine pm in l A 563 00:33:30,880 --> 00:33:35,160 Speaker 1: and the winter is pitch black and like, and it 564 00:33:35,280 --> 00:33:38,200 Speaker 1: was people are like, this sounds suspicious. And the cop 565 00:33:38,280 --> 00:33:40,520 Speaker 1: the l a p D was like, he went to college, 566 00:33:40,920 --> 00:33:43,200 Speaker 1: like they were being classist and it like literally when 567 00:33:43,240 --> 00:33:45,640 Speaker 1: people are like, this is suspicious, that was their answer. 568 00:33:45,680 --> 00:33:47,400 Speaker 1: He went to Berkeley, so he was on the up 569 00:33:47,400 --> 00:33:50,240 Speaker 1: and up. But then this article in the Times again 570 00:33:50,360 --> 00:33:53,680 Speaker 1: not in op ed, said online activists and police critics 571 00:33:53,720 --> 00:33:56,200 Speaker 1: who didn't know Arroyos but take issue with the l 572 00:33:56,240 --> 00:33:58,560 Speaker 1: a p d s legacy of abuses, have tried to 573 00:33:58,560 --> 00:34:01,920 Speaker 1: dismiss his death, alating out assumptions about its cause based 574 00:34:01,920 --> 00:34:04,120 Speaker 1: on little more than their own negative perceptions of the 575 00:34:04,200 --> 00:34:06,920 Speaker 1: l a p D and anyone who joins it. Mm hmm, 576 00:34:07,680 --> 00:34:11,120 Speaker 1: what why why did they write that. I genuinely was like, 577 00:34:11,239 --> 00:34:15,319 Speaker 1: I don't know what, why who You're like, you're not 578 00:34:15,360 --> 00:34:17,600 Speaker 1: defending l a p D. You're like simping for them 579 00:34:17,680 --> 00:34:22,120 Speaker 1: in a very immature and strange way, and it upsets me. Yeah, 580 00:34:22,160 --> 00:34:26,040 Speaker 1: I mean they have a massive pr wing the l 581 00:34:26,080 --> 00:34:30,000 Speaker 1: a p D, like more, and it's grown and you know, 582 00:34:30,120 --> 00:34:35,279 Speaker 1: increased in funding and size since the you know, Black 583 00:34:35,320 --> 00:34:41,120 Speaker 1: Lives Matter protests of and yeah there. I I also 584 00:34:41,200 --> 00:34:46,040 Speaker 1: think there is just a really long standing and you know, 585 00:34:46,160 --> 00:34:48,960 Speaker 1: it kind of makes sense at a level, like a 586 00:34:48,960 --> 00:34:53,120 Speaker 1: a kind of relationship between journalists and police, because police 587 00:34:53,160 --> 00:34:55,040 Speaker 1: can give you the scoop on the ship that like 588 00:34:55,239 --> 00:34:57,600 Speaker 1: your editor wants you to write about in a lot 589 00:34:57,600 --> 00:35:01,640 Speaker 1: of cases, which is like crime. And they are also 590 00:35:01,840 --> 00:35:07,040 Speaker 1: like one in the same way that police are unfortunately 591 00:35:07,040 --> 00:35:09,920 Speaker 1: in America, Like when you call like if somebody's having 592 00:35:09,920 --> 00:35:12,400 Speaker 1: a mental health crisis, if somebody's having a health crisis, 593 00:35:12,440 --> 00:35:15,000 Speaker 1: if somebody's if your house is on fire, like all 594 00:35:15,040 --> 00:35:18,000 Speaker 1: these things, you call the same number, and like a 595 00:35:18,000 --> 00:35:21,279 Speaker 1: lot of times the police are dispatched. I think the 596 00:35:21,440 --> 00:35:25,040 Speaker 1: journalists have a similar situation where like they are the 597 00:35:25,080 --> 00:35:27,800 Speaker 1: people that they go to for everything and so there's 598 00:35:27,840 --> 00:35:32,200 Speaker 1: just this like sort of relationship of like withholding and 599 00:35:32,239 --> 00:35:37,400 Speaker 1: giving information that is probably not helpful for the purposes 600 00:35:37,440 --> 00:35:43,040 Speaker 1: of like people who are not the police. Yeah, yeah, 601 00:35:43,080 --> 00:35:46,440 Speaker 1: I do want to just continue to tear this person's 602 00:35:46,440 --> 00:35:48,799 Speaker 1: writing to stress. So there's one sentence where they talk 603 00:35:48,840 --> 00:35:50,799 Speaker 1: about or one paragraph where they talk about how like 604 00:35:50,880 --> 00:35:53,880 Speaker 1: the crime is actually way way down from the nineties, 605 00:35:53,920 --> 00:35:57,840 Speaker 1: and there were two thousand nine homicides in Los Angeles, 606 00:35:57,920 --> 00:36:01,080 Speaker 1: six times more than there were in one and paragraph. 607 00:36:01,480 --> 00:36:04,640 Speaker 1: Still something is going on, because it certainly feels as 608 00:36:04,640 --> 00:36:10,799 Speaker 1: if the Joker has written into town. Is Prince here? 609 00:36:12,840 --> 00:36:17,120 Speaker 1: I didn't know. I'm excited. The Halloween parade always looks fantastic. 610 00:36:17,680 --> 00:36:20,680 Speaker 1: I look forward to penguins and a giant like ice sheet. 611 00:36:21,480 --> 00:36:24,560 Speaker 1: I love Batman. Let's do it. The Joker has come 612 00:36:24,600 --> 00:36:28,720 Speaker 1: to town. I just wonder, truly, because it seems mostly 613 00:36:28,719 --> 00:36:32,280 Speaker 1: like it's come through in the pandemic. Like I'm stuck 614 00:36:32,320 --> 00:36:35,640 Speaker 1: on wealthy people being like it's wild here. But it's 615 00:36:35,680 --> 00:36:37,000 Speaker 1: like if you had lived in any other parts of 616 00:36:37,000 --> 00:36:39,280 Speaker 1: the city at any point in time, it would be like, Wow, 617 00:36:39,280 --> 00:36:44,400 Speaker 1: we really have an issue with unhoused people not having homes, 618 00:36:44,640 --> 00:36:47,040 Speaker 1: which is wild. When we think about how many vacant 619 00:36:47,239 --> 00:36:50,799 Speaker 1: spaces and buildings that are here ready to go that 620 00:36:50,840 --> 00:36:53,279 Speaker 1: could support these people. I wonder why we don't do 621 00:36:53,360 --> 00:36:56,040 Speaker 1: something about it. It seems so strange to me that 622 00:36:56,120 --> 00:36:58,160 Speaker 1: it took a pandemic when we're all forced inside to 623 00:36:58,160 --> 00:37:02,880 Speaker 1: be like, oh, there's an issue here, right, yeah, I 624 00:37:02,880 --> 00:37:05,920 Speaker 1: mean the city has a massive problem. Crime is a 625 00:37:05,920 --> 00:37:10,120 Speaker 1: symptom of that problem. But you know it's inequality and 626 00:37:10,200 --> 00:37:14,560 Speaker 1: violent policing are like the two major problems that are 627 00:37:15,040 --> 00:37:19,719 Speaker 1: driving everything, and this article suggests that violent policing might 628 00:37:19,760 --> 00:37:22,879 Speaker 1: be the solution, which is really like, after laying out 629 00:37:22,960 --> 00:37:27,960 Speaker 1: all these great examples of of evidence that points in 630 00:37:28,239 --> 00:37:32,080 Speaker 1: the right direction, they just keep laying on the anecdotal 631 00:37:32,480 --> 00:37:34,520 Speaker 1: over and over. Like I think he kind of gives 632 00:37:34,560 --> 00:37:37,360 Speaker 1: himself up at the end because he talks about how 633 00:37:37,440 --> 00:37:40,320 Speaker 1: there's a viral video of an unhoused woman with a 634 00:37:40,400 --> 00:37:45,000 Speaker 1: pickaxe dragging her shopping cart around a right aid and 635 00:37:45,600 --> 00:37:50,759 Speaker 1: shouting expletives and customers kind of just give her her distance. 636 00:37:51,239 --> 00:37:54,760 Speaker 1: And then around the same time, thought the writer writes 637 00:37:54,800 --> 00:37:58,120 Speaker 1: the CBS in Hollywood was ransacked by over one looters. 638 00:37:58,680 --> 00:38:02,360 Speaker 1: This was a highly oblicized thing that you know, the 639 00:38:02,480 --> 00:38:04,680 Speaker 1: lap D was able to get placed in papers across 640 00:38:04,719 --> 00:38:08,600 Speaker 1: the country because it made it seem like, I don't know, 641 00:38:08,640 --> 00:38:13,400 Speaker 1: there was this massive new like prohibition era style like 642 00:38:13,920 --> 00:38:16,960 Speaker 1: robbery wave that was coming and it was a few 643 00:38:16,960 --> 00:38:21,239 Speaker 1: isolated incidents, but he is mad that people just kind 644 00:38:21,239 --> 00:38:24,320 Speaker 1: of give them their space. And he's like, this is 645 00:38:24,320 --> 00:38:27,880 Speaker 1: where we are in l A right now, folks, scared, confused, upset, 646 00:38:27,960 --> 00:38:31,160 Speaker 1: but also shockingly in your to what became of what 647 00:38:31,280 --> 00:38:33,960 Speaker 1: has become of our city, not just our city, but 648 00:38:34,040 --> 00:38:36,960 Speaker 1: the whole of America, where even those sworn to uphold 649 00:38:37,000 --> 00:38:41,000 Speaker 1: the law and the constitution sometimes seem to have nothing 650 00:38:41,000 --> 00:38:44,200 Speaker 1: but contempt for it. No big deal, nothing to see here. 651 00:38:44,880 --> 00:38:49,880 Speaker 1: Like maybe we're more concerned about human lives than CBS 652 00:38:50,000 --> 00:38:54,160 Speaker 1: is bottom line, And like I don't know that that 653 00:38:54,280 --> 00:38:59,319 Speaker 1: somebody's having a mental health crisis is more of what 654 00:38:59,400 --> 00:39:03,440 Speaker 1: we see in situation than like somebody called the police 655 00:39:03,480 --> 00:39:08,080 Speaker 1: and like shoot this person, Like it's it's just fucking 656 00:39:08,120 --> 00:39:10,200 Speaker 1: I don't know that that was this person to be 657 00:39:10,280 --> 00:39:16,600 Speaker 1: assigned to cover corporate theft of workers. Next focus on Wait, 658 00:39:16,680 --> 00:39:19,919 Speaker 1: let's see where the crisis really is and what's really 659 00:39:19,960 --> 00:39:26,200 Speaker 1: going on, buddy, you mean non incredible sources the whole 660 00:39:27,640 --> 00:39:30,400 Speaker 1: like you shoulders shrugged in your article on facts and 661 00:39:30,400 --> 00:39:32,640 Speaker 1: then got mad that everyone else was like that woman 662 00:39:32,680 --> 00:39:34,680 Speaker 1: probably just needs some space and a little bit of help, 663 00:39:34,800 --> 00:39:40,120 Speaker 1: Like wow, yeah, maybe this chat is for or a 664 00:39:40,160 --> 00:39:45,160 Speaker 1: better editor, right, But yeah, the front page of the article, 665 00:39:45,960 --> 00:39:48,440 Speaker 1: or the front page of the l A magazine that 666 00:39:48,960 --> 00:39:54,000 Speaker 1: edition is like a screaming white woman looking through her 667 00:39:54,040 --> 00:39:56,759 Speaker 1: blinds at like what she sees outside. Yeah. No, the 668 00:39:56,760 --> 00:39:59,400 Speaker 1: cover images out of control. If anyone wants to go 669 00:39:59,440 --> 00:40:01,080 Speaker 1: to their Twitter her, I think it's still their head 670 00:40:01,160 --> 00:40:04,759 Speaker 1: or image. It's shocking. They went for it, and again 671 00:40:04,800 --> 00:40:06,640 Speaker 1: they went for it so hard. It seems like they're joking, 672 00:40:06,680 --> 00:40:09,319 Speaker 1: but they're definitely not. They're breaking in their boots. It's 673 00:40:09,360 --> 00:40:12,080 Speaker 1: ELI magazine, the one that was acquired and immediately fired 674 00:40:12,120 --> 00:40:14,239 Speaker 1: all of its staff. No, that was me at l 675 00:40:14,280 --> 00:40:19,520 Speaker 1: A Weekly. I'm so sorry. That's okay, But yeah, they don't. 676 00:40:19,640 --> 00:40:22,800 Speaker 1: I don't know who's owning things or who's given editorial direction, 677 00:40:22,840 --> 00:40:25,719 Speaker 1: but it really seems like that's why I went to 678 00:40:25,719 --> 00:40:27,160 Speaker 1: the article in the first place. It was like, wait, 679 00:40:27,239 --> 00:40:30,279 Speaker 1: this must be like a joke about like panic and 680 00:40:30,480 --> 00:40:34,960 Speaker 1: like how wrong people have gotten the story, but instead 681 00:40:35,040 --> 00:40:39,040 Speaker 1: it is this. It's the counter is maybe inequality is 682 00:40:39,040 --> 00:40:41,520 Speaker 1: a bigger problem than how nervous you and the people 683 00:40:41,560 --> 00:40:45,040 Speaker 1: you golf with feel when you wear diamonds around people 684 00:40:45,280 --> 00:40:48,920 Speaker 1: who are having trouble feeding their family. Like that's all 685 00:40:48,920 --> 00:40:52,920 Speaker 1: you need to say and doesn't hold up as like 686 00:40:53,040 --> 00:40:56,600 Speaker 1: a slightly above casual observer of el a magazine in the 687 00:40:56,560 --> 00:40:58,080 Speaker 1: the past couple of years. I do think the editor 688 00:40:58,120 --> 00:41:01,239 Speaker 1: in chief has a particular point of view that is 689 00:41:01,400 --> 00:41:05,880 Speaker 1: very like kind of star fuckery, very grubby, like want grasping, 690 00:41:06,160 --> 00:41:09,320 Speaker 1: wants to be part of what he thinks the cool 691 00:41:09,360 --> 00:41:11,200 Speaker 1: crowd is. And also I think has a sort of 692 00:41:12,760 --> 00:41:17,080 Speaker 1: sensibility about like what's cool. I don't think he's really 693 00:41:17,440 --> 00:41:21,760 Speaker 1: kept up with the times. Yeah yeah, all right, Well 694 00:41:21,920 --> 00:41:25,000 Speaker 1: that was that article. If you can find it and 695 00:41:25,040 --> 00:41:27,279 Speaker 1: read it, I suggest you don't. I think we gave 696 00:41:27,360 --> 00:41:29,719 Speaker 1: you every time everything you really need to know. But 697 00:41:30,040 --> 00:41:33,200 Speaker 1: you know, by all means, let's take a quick break 698 00:41:33,320 --> 00:41:48,120 Speaker 1: and we'll be right back, and we're back. And last 699 00:41:48,120 --> 00:41:52,480 Speaker 1: weekend was a lot of people realizing Joe Rogan is 700 00:41:52,600 --> 00:41:56,719 Speaker 1: racist on social media and like kind of at their 701 00:41:56,719 --> 00:42:00,439 Speaker 1: own pace, like there there were you know, Joe Jon 702 00:42:00,520 --> 00:42:03,080 Speaker 1: Stewart had come out and been like, everybody needs to 703 00:42:03,120 --> 00:42:05,520 Speaker 1: like stop making such a big deal about like the 704 00:42:05,680 --> 00:42:10,760 Speaker 1: Rogan thing. And that was a week after at least 705 00:42:10,760 --> 00:42:13,520 Speaker 1: we had seen and talked about the thing where he 706 00:42:13,640 --> 00:42:17,279 Speaker 1: like does a wildly racist riff on like going to 707 00:42:17,280 --> 00:42:21,200 Speaker 1: see the movie Planet of the Apes on Alex Jones. 708 00:42:21,360 --> 00:42:24,560 Speaker 1: Is like podcast network, So somebody did a compilation of 709 00:42:24,600 --> 00:42:27,839 Speaker 1: all the times that Joe Rogan used then were on 710 00:42:27,920 --> 00:42:32,120 Speaker 1: his podcast. I had not seen that. I had assumed 711 00:42:32,239 --> 00:42:36,120 Speaker 1: that was who he was based on. Like that clip 712 00:42:36,160 --> 00:42:37,719 Speaker 1: that we had talked about a couple of weeks back 713 00:42:38,560 --> 00:42:42,840 Speaker 1: was plenty seemed like, okay, this this is a racist person. 714 00:42:43,200 --> 00:42:47,719 Speaker 1: But that caused a lot of people to start noticing that, 715 00:42:48,320 --> 00:42:50,839 Speaker 1: like just all the clips of all the racist ship 716 00:42:50,880 --> 00:42:54,040 Speaker 1: that he had said, and yeah, I don't know, it 717 00:42:54,120 --> 00:42:57,319 Speaker 1: just seemed like a lot of I don't know, a 718 00:42:57,320 --> 00:43:00,799 Speaker 1: lot of people coming coming to a reckoning. It's their 719 00:43:00,840 --> 00:43:05,040 Speaker 1: opinion on Joe Rogan, which is the rock and his 720 00:43:05,280 --> 00:43:09,319 Speaker 1: entire team are so embarrassed. Oh my god. But it's 721 00:43:09,360 --> 00:43:11,279 Speaker 1: one thing to be a white dude falling all over 722 00:43:11,360 --> 00:43:14,880 Speaker 1: yourself to be like he's not that bad. Like, please, 723 00:43:15,280 --> 00:43:17,440 Speaker 1: if you hate him, what's gonna happen when you start 724 00:43:17,480 --> 00:43:19,560 Speaker 1: looking at my old stuff? It's very scary for me. 725 00:43:19,960 --> 00:43:24,200 Speaker 1: I get it, it's okay, but to be literally the 726 00:43:24,320 --> 00:43:27,960 Speaker 1: Rock like the last maybe the last living movie star. 727 00:43:28,160 --> 00:43:30,239 Speaker 1: Tom Holland's making a gun for it to be this 728 00:43:30,440 --> 00:43:32,640 Speaker 1: generate like between Tom hollands And and I, either like 729 00:43:33,040 --> 00:43:36,640 Speaker 1: maybe we can relaunch movie stardom. You have seen anything 730 00:43:36,680 --> 00:43:39,960 Speaker 1: the Rock. You could have privately supported Joe Rogan and 731 00:43:40,040 --> 00:43:42,560 Speaker 1: been like just send him a quick little texts and like, hey, buddy, 732 00:43:42,800 --> 00:43:44,920 Speaker 1: got your back, see out here. It's fine, but you 733 00:43:44,920 --> 00:43:47,919 Speaker 1: when you made it public, and how embarrassing for you. 734 00:43:48,040 --> 00:43:50,960 Speaker 1: It's just I don't understand. I don't. I don't understand 735 00:43:51,000 --> 00:43:53,720 Speaker 1: the popularity of Joe Rogan period. I just think maybe 736 00:43:53,800 --> 00:43:57,439 Speaker 1: he was early adapter status and people were like, oh, 737 00:43:57,520 --> 00:43:59,319 Speaker 1: that's the guy that does a podcast thing, and now 738 00:43:59,360 --> 00:44:01,000 Speaker 1: I'm getting a podcast, so I have to like go 739 00:44:01,160 --> 00:44:04,080 Speaker 1: check through his podcast first before I explore the large 740 00:44:04,080 --> 00:44:08,279 Speaker 1: world podcasting. Hopefully that ends now. I think there's a 741 00:44:08,280 --> 00:44:10,719 Speaker 1: lot of people sort of side eying Spotify and being like, 742 00:44:11,920 --> 00:44:14,400 Speaker 1: I know his show does good numbers, but is it 743 00:44:14,480 --> 00:44:18,240 Speaker 1: worth all of those dollars. Does it make sense? It didn't, 744 00:44:18,600 --> 00:44:20,440 Speaker 1: and now they're paying for it. I just feel like 745 00:44:20,480 --> 00:44:23,080 Speaker 1: this is very um. If we're gonna have one wind 746 00:44:23,120 --> 00:44:26,440 Speaker 1: black history one, this is fine. I'll take this. This 747 00:44:26,600 --> 00:44:30,640 Speaker 1: is someone satisfactory. One thing I've seen in defense of 748 00:44:30,719 --> 00:44:33,839 Speaker 1: Joe Rogan is people being like, oh, none of you 749 00:44:33,880 --> 00:44:36,080 Speaker 1: actually care about the N word. This is just you're 750 00:44:36,080 --> 00:44:40,640 Speaker 1: mad about the COVID stuff, which is so simple minded 751 00:44:40,719 --> 00:44:43,520 Speaker 1: thinking to me, can we be mad about both? I 752 00:44:43,560 --> 00:44:45,520 Speaker 1: think we can. I think we can think both things 753 00:44:45,560 --> 00:44:49,839 Speaker 1: are gross. Also, don't project you're not caring. Everybody else 754 00:44:49,960 --> 00:44:53,640 Speaker 1: is not caring. Random Internet user you don't really care 755 00:44:53,640 --> 00:44:55,719 Speaker 1: about the eye. Care a whole fucking lot about the 756 00:44:55,840 --> 00:44:59,440 Speaker 1: YET word and who's saying it? You don't care and dramatic. 757 00:44:59,440 --> 00:45:02,640 Speaker 1: It's being all doubt or maybe in a larger space, 758 00:45:02,719 --> 00:45:05,400 Speaker 1: the people you've surrounded yourself with have convinced you that 759 00:45:05,440 --> 00:45:10,400 Speaker 1: no one cares. But that's not reality. Interesting. I wonder 760 00:45:10,760 --> 00:45:14,680 Speaker 1: how much of this is what like you're saying early 761 00:45:14,719 --> 00:45:18,759 Speaker 1: adopter and you know he has Elon musk on and 762 00:45:18,840 --> 00:45:23,080 Speaker 1: everybody fucking loves Elon musk and so that you know 763 00:45:23,120 --> 00:45:25,520 Speaker 1: shoots him up in popularity and how much of this 764 00:45:25,680 --> 00:45:29,080 Speaker 1: is like this is not a bug, it's a feature, 765 00:45:29,320 --> 00:45:32,799 Speaker 1: Like this is part part of why people like him 766 00:45:32,920 --> 00:45:36,719 Speaker 1: is that I don't know, white men in America are 767 00:45:37,760 --> 00:45:42,080 Speaker 1: really showing their ass repeatedly for the past like decade, 768 00:45:42,200 --> 00:45:44,720 Speaker 1: and I just feel like at this point, I'm like, Okay, 769 00:45:44,840 --> 00:45:48,680 Speaker 1: so this is what a large portion of you guys 770 00:45:48,800 --> 00:45:52,439 Speaker 1: are into. Like that. I It'll be interesting to see 771 00:45:52,480 --> 00:45:55,040 Speaker 1: if this hurts this popularity. That's the thing that I 772 00:45:55,080 --> 00:45:59,480 Speaker 1: don't I'm always fighting with myself about, Like would it 773 00:45:59,520 --> 00:46:02,120 Speaker 1: be better if we just like ignore Joe Rogan. That 774 00:46:02,160 --> 00:46:05,360 Speaker 1: sounds so simplistic too, but like hate listen is a 775 00:46:05,440 --> 00:46:07,959 Speaker 1: listen and I think people forget about that talking about 776 00:46:08,000 --> 00:46:10,120 Speaker 1: him is talking about him. So what if we were 777 00:46:10,160 --> 00:46:12,680 Speaker 1: just like okay Joe Rogan and walked away, Like would 778 00:46:12,680 --> 00:46:15,680 Speaker 1: eventually Spotify be like Okay, this deal is over, you know, 779 00:46:15,760 --> 00:46:17,840 Speaker 1: like when he loses audience or whatever. This is just 780 00:46:17,880 --> 00:46:21,800 Speaker 1: building his audience. I thank us, But maybe maybe I'm naive. 781 00:46:21,840 --> 00:46:24,520 Speaker 1: I don't know. I don't know. I don't think you're naive. 782 00:46:24,560 --> 00:46:27,560 Speaker 1: I think it's it's a challenge to figure out. And 783 00:46:27,560 --> 00:46:29,080 Speaker 1: and then a lot of it will depend on his 784 00:46:29,239 --> 00:46:32,799 Speaker 1: future actions. Right, it's just an audience. He's okay to 785 00:46:32,880 --> 00:46:35,439 Speaker 1: court moving forward like he's already been doing it sort 786 00:46:35,480 --> 00:46:37,640 Speaker 1: of on the low and it's made him a lot 787 00:46:37,680 --> 00:46:39,839 Speaker 1: of money. But now that's out there, is he going 788 00:46:39,880 --> 00:46:41,799 Speaker 1: to be like a lot of white comedians who find 789 00:46:41,840 --> 00:46:44,880 Speaker 1: themselves in similar situations, They're like, oh, I'll just embrace it. 790 00:46:45,120 --> 00:46:47,840 Speaker 1: Now I'm the right wing like comedian who's going on 791 00:46:47,880 --> 00:46:49,840 Speaker 1: tour and I'll hook up with all my other buddies. 792 00:46:50,120 --> 00:46:52,440 Speaker 1: I was joking with justin the other day of like, oh, 793 00:46:52,520 --> 00:46:54,440 Speaker 1: I think it was just like him and Dave Chappelle 794 00:46:54,480 --> 00:46:56,439 Speaker 1: are just gonna go on tour now and like hang 795 00:46:56,480 --> 00:47:01,560 Speaker 1: out and be like, oh, we're canceled comedians and you know, okay, fine, 796 00:47:01,640 --> 00:47:04,040 Speaker 1: then then then yes, it would not make sense for 797 00:47:04,120 --> 00:47:06,400 Speaker 1: us to continue to sort of indulge in. I'll be like, okay, well, 798 00:47:06,440 --> 00:47:08,320 Speaker 1: now you have your audience and be happy and go away. 799 00:47:08,719 --> 00:47:11,000 Speaker 1: I think his other option is to say like, oh, 800 00:47:11,200 --> 00:47:13,839 Speaker 1: I don't want to be that person. But then that's 801 00:47:13,960 --> 00:47:16,160 Speaker 1: dangerous for him on whole note, and I just don't 802 00:47:16,160 --> 00:47:18,359 Speaker 1: see him willingly taking his career like that. I think 803 00:47:18,400 --> 00:47:20,600 Speaker 1: he'll take the same everybody else does, which is like, 804 00:47:21,000 --> 00:47:23,040 Speaker 1: if if you hate me, then fine, I'll just be 805 00:47:23,160 --> 00:47:26,279 Speaker 1: worthy of your hate. Now. Yeah, I think I think 806 00:47:26,280 --> 00:47:27,960 Speaker 1: a lot of people think he's a thought leader just 807 00:47:27,960 --> 00:47:29,440 Speaker 1: because a lot of people listen to him. But I 808 00:47:29,440 --> 00:47:32,319 Speaker 1: don't think he's particularly intelligent or insightful or anything like that. 809 00:47:32,360 --> 00:47:37,239 Speaker 1: I think he's just some guy that has right and 810 00:47:37,280 --> 00:47:40,760 Speaker 1: he's a comedian. Yeah. I think he talks openly about 811 00:47:40,840 --> 00:47:44,000 Speaker 1: like drugs. That was like I remember one of the 812 00:47:44,040 --> 00:47:46,279 Speaker 1: early things that people were like, dude, this dude like 813 00:47:46,320 --> 00:47:50,520 Speaker 1: takes d M T and like whatever the psychedelic is. 814 00:47:50,680 --> 00:47:54,200 Speaker 1: That's like super intense and short lived. Like he like 815 00:47:54,360 --> 00:47:57,080 Speaker 1: talks about drug stuff, And so I think that brought 816 00:47:57,120 --> 00:47:59,880 Speaker 1: like some people in because like that's not your typical 817 00:48:00,600 --> 00:48:02,839 Speaker 1: like Tucker Carlson is an out here being like yeah, 818 00:48:02,880 --> 00:48:06,680 Speaker 1: I just did like acid and set in a sensory 819 00:48:06,719 --> 00:48:09,440 Speaker 1: deprivation booths, and so people are like, whoa, he's like 820 00:48:10,120 --> 00:48:13,560 Speaker 1: next level. But then I think with a lot of 821 00:48:13,800 --> 00:48:19,959 Speaker 1: people who are this successful, a big feature of why 822 00:48:20,040 --> 00:48:23,200 Speaker 1: they become as popular as they are is they have 823 00:48:23,920 --> 00:48:28,360 Speaker 1: a part of them that just immediately reacts to whatever 824 00:48:28,560 --> 00:48:32,640 Speaker 1: people seem to like, right, and like when you look 825 00:48:32,719 --> 00:48:37,120 Speaker 1: at what who the other most popular podcasters are, it's 826 00:48:37,400 --> 00:48:41,920 Speaker 1: fucking Dan Bongino. It's like it's a lot of like 827 00:48:42,080 --> 00:48:45,160 Speaker 1: right wing ship. Like that's what I'm saying, Like, I 828 00:48:45,160 --> 00:48:49,520 Speaker 1: I don't think this is a aber aberration. I think 829 00:48:49,560 --> 00:48:53,920 Speaker 1: this is who I'm America. A lot of America is 830 00:48:54,000 --> 00:48:57,240 Speaker 1: turning into. And like that's what I think is so scary. 831 00:48:57,280 --> 00:48:59,879 Speaker 1: That's why I also think, you know, when people are 832 00:49:00,040 --> 00:49:02,520 Speaker 1: like the Trump stuff, like he kind of sucked himself 833 00:49:02,600 --> 00:49:04,680 Speaker 1: by like doing all of those illegal stuff, It's like 834 00:49:04,719 --> 00:49:09,600 Speaker 1: I think, I think we're underestimating how much America is 835 00:49:09,640 --> 00:49:14,160 Speaker 1: going in a white supremacist, like, you know, really terrifying 836 00:49:14,320 --> 00:49:19,680 Speaker 1: right wing direction like that. This is like he's very popular, 837 00:49:19,719 --> 00:49:22,680 Speaker 1: and I would assumed that if he does what you said, 838 00:49:22,760 --> 00:49:26,400 Speaker 1: Joel and like kind of doubles down, he'll he'll remain 839 00:49:26,520 --> 00:49:32,120 Speaker 1: very popular. Like and that's scary. I mean, that's it 840 00:49:32,200 --> 00:49:34,959 Speaker 1: just feels like a reflection of where we're at. Unfortunately 841 00:49:34,960 --> 00:49:39,319 Speaker 1: it is, and like on a much less serious but 842 00:49:39,440 --> 00:49:42,360 Speaker 1: much more cringe level. When the other comedians start defending 843 00:49:42,400 --> 00:49:45,359 Speaker 1: him on Twitter, like Whitney Cummings, Oh my god, did 844 00:49:45,360 --> 00:49:49,359 Speaker 1: you see what she tweeted it was so humiliated, Like 845 00:49:49,480 --> 00:49:52,040 Speaker 1: I felt bad for her. I don't feel bad for her. 846 00:49:52,040 --> 00:49:54,919 Speaker 1: She's incredibly wealthy. But she said, comedians did not sign 847 00:49:54,960 --> 00:49:57,279 Speaker 1: up to be your hero. It's our job to be 848 00:49:57,320 --> 00:50:00,520 Speaker 1: irreverent and dangerous, to question authority in take you through 849 00:50:00,560 --> 00:50:03,240 Speaker 1: the spooky, mental, haunted house so that you can arrive 850 00:50:03,239 --> 00:50:07,560 Speaker 1: at your own conclusions. Like stop, that's so embarrassing. It 851 00:50:08,040 --> 00:50:11,440 Speaker 1: like that, Like if your job is just to insult, 852 00:50:11,840 --> 00:50:16,480 Speaker 1: then you could just say that's not a comedian at all, right, 853 00:50:16,600 --> 00:50:20,719 Speaker 1: Like the idea of of challenging thoughts and trying to 854 00:50:20,760 --> 00:50:22,840 Speaker 1: push Like there are a lot of people who have 855 00:50:22,960 --> 00:50:27,880 Speaker 1: made like incredible commentary to their comedy about difficult to 856 00:50:27,880 --> 00:50:32,400 Speaker 1: talk about subjects without insulting entire groups of people, without 857 00:50:32,520 --> 00:50:37,080 Speaker 1: needing to rely strictly on racism. You know, there's assistant 858 00:50:37,160 --> 00:50:42,279 Speaker 1: or female comedian talking about um. She's exploring like, you know, 859 00:50:42,320 --> 00:50:44,160 Speaker 1: what does it mean for me is a SIS person 860 00:50:44,160 --> 00:50:46,280 Speaker 1: now that we're seeing like trans and non binary people 861 00:50:46,680 --> 00:50:50,400 Speaker 1: and how is that like impacting how I perceive my 862 00:50:50,640 --> 00:50:52,960 Speaker 1: cis gender nous? You know, And she does it in 863 00:50:53,000 --> 00:50:55,960 Speaker 1: such a way that it's not you know, oh, look 864 00:50:55,960 --> 00:50:59,080 Speaker 1: at these weird people. But just like, how does them 865 00:50:59,160 --> 00:51:02,880 Speaker 1: just existing in and acknowledging and embracing their identity open 866 00:51:02,960 --> 00:51:05,440 Speaker 1: doors for everyone around them? How does it change my 867 00:51:05,480 --> 00:51:09,120 Speaker 1: perspective of what just gender is in general? I just 868 00:51:09,239 --> 00:51:11,839 Speaker 1: I don't. It's so hard to be like, why would 869 00:51:11,840 --> 00:51:14,200 Speaker 1: you want to buy into the idea of like, oh, hey, 870 00:51:14,440 --> 00:51:16,680 Speaker 1: is the same thing as like expanding upon an idea? 871 00:51:17,120 --> 00:51:19,040 Speaker 1: It's not. And like if you watch the Joe Rogan 872 00:51:19,160 --> 00:51:21,600 Speaker 1: clip of him, just I don't remember who his guest is. 873 00:51:21,760 --> 00:51:23,879 Speaker 1: We're just really giddy to get to say the N word. 874 00:51:24,120 --> 00:51:28,040 Speaker 1: And it's like the most childish form of that sort 875 00:51:28,120 --> 00:51:33,000 Speaker 1: of like racism. Like I've been a child around like 876 00:51:33,000 --> 00:51:34,839 Speaker 1: a black child around white kids, and they're just like, 877 00:51:35,080 --> 00:51:37,319 Speaker 1: I wanna say it. I'm not supposed It's like the 878 00:51:37,360 --> 00:51:38,840 Speaker 1: one thing I'm not supposed to do and I'm just 879 00:51:38,840 --> 00:51:42,279 Speaker 1: gonna do. It's so funny you didn't. It's just it's 880 00:51:42,360 --> 00:51:46,440 Speaker 1: it's so silly and kind of foolish. And I think 881 00:51:46,520 --> 00:51:48,279 Speaker 1: what's most depressing about all of it that we've had 882 00:51:48,320 --> 00:51:51,120 Speaker 1: to give this much time and thought into something so 883 00:51:51,200 --> 00:51:56,080 Speaker 1: fucking dumb, like just so silly and ridiculous and unworthy 884 00:51:56,120 --> 00:51:59,960 Speaker 1: of any really anyone's time or contemplation. What this doesn't 885 00:52:00,080 --> 00:52:03,120 Speaker 1: isn't doing anything for anyone other than like, here's the 886 00:52:03,120 --> 00:52:05,799 Speaker 1: guy who's clearly an idiot. This is how you spend 887 00:52:05,800 --> 00:52:07,680 Speaker 1: your time, and this is what you think makes good content, 888 00:52:07,840 --> 00:52:10,840 Speaker 1: This is what you want to dedicate your really impressive 889 00:52:11,239 --> 00:52:14,880 Speaker 1: career too, Then you're foolish. And and I just I 890 00:52:14,920 --> 00:52:18,040 Speaker 1: wish we didn't have to engage with it. And I 891 00:52:18,120 --> 00:52:20,840 Speaker 1: know that from a cultural standpoint, we do have to 892 00:52:20,840 --> 00:52:23,960 Speaker 1: look at it and sort of taking the larger picture 893 00:52:24,120 --> 00:52:25,640 Speaker 1: of what does this mean for us as a country 894 00:52:25,640 --> 00:52:27,359 Speaker 1: and what do we want to do about it, How 895 00:52:27,360 --> 00:52:29,600 Speaker 1: do we want to address you know, young minds that 896 00:52:29,640 --> 00:52:31,919 Speaker 1: are coming up, and how are we going to sort 897 00:52:31,920 --> 00:52:35,280 Speaker 1: of change those who you know, this is their idea. 898 00:52:35,400 --> 00:52:38,240 Speaker 1: Like again, I think it goes back to your earlier point, Catherine, 899 00:52:38,280 --> 00:52:41,359 Speaker 1: about like somebody saying like, oh, you guys don't really 900 00:52:41,400 --> 00:52:43,080 Speaker 1: care about the inn word. I think all of that 901 00:52:43,160 --> 00:52:46,360 Speaker 1: is inherently involved in it. And I just I don't 902 00:52:46,360 --> 00:52:48,600 Speaker 1: think that we can scream any louder that we do 903 00:52:49,040 --> 00:52:51,200 Speaker 1: care about it. You know, if we if we take 904 00:52:51,200 --> 00:52:55,640 Speaker 1: into consideration, um, what's happening with critical race theory when 905 00:52:55,719 --> 00:53:00,200 Speaker 1: we take into consideration the way black human in this 906 00:53:00,239 --> 00:53:04,239 Speaker 1: country are still treated. It's it's just very exhausting to 907 00:53:04,280 --> 00:53:09,399 Speaker 1: have to entertain. I don't know. Yeah, I mean right 908 00:53:09,520 --> 00:53:12,640 Speaker 1: too to your point about like I wish I didn't 909 00:53:12,680 --> 00:53:16,759 Speaker 1: have to spend time talking about this like this. We 910 00:53:16,840 --> 00:53:19,959 Speaker 1: had a story about a new horny build a bear 911 00:53:20,320 --> 00:53:23,920 Speaker 1: that like that demands coverage like that is something that 912 00:53:23,960 --> 00:53:26,520 Speaker 1: our listeners are never going to forgive us for not 913 00:53:26,640 --> 00:53:30,600 Speaker 1: getting to on this episode. But yeah, just going back 914 00:53:30,680 --> 00:53:34,520 Speaker 1: to like that, this is the thing A a study 915 00:53:34,680 --> 00:53:38,200 Speaker 1: I point to a lot, but I think it's relevant 916 00:53:38,320 --> 00:53:42,160 Speaker 1: to so many, so many things we've seen in America 917 00:53:42,680 --> 00:53:45,319 Speaker 1: since we started the show. But it was a like 918 00:53:45,480 --> 00:53:49,560 Speaker 1: problem solving, Like they grouped people into problem solving groups 919 00:53:50,080 --> 00:53:52,759 Speaker 1: and some of the groups were diverse, since some of 920 00:53:52,800 --> 00:53:56,560 Speaker 1: the groups were not, and the they found that the 921 00:53:56,640 --> 00:54:01,560 Speaker 1: groups that were not diverse, in this scientific study, we're 922 00:54:01,600 --> 00:54:05,160 Speaker 1: both worse at solving the problem but also way more 923 00:54:05,280 --> 00:54:09,359 Speaker 1: confident that they had got the right answer. And then 924 00:54:09,719 --> 00:54:13,960 Speaker 1: the groups that were diverse were much better at solving 925 00:54:13,960 --> 00:54:18,759 Speaker 1: the problems, but they were less confident. And so the 926 00:54:19,640 --> 00:54:22,880 Speaker 1: like that feels like what we're seeing in a lot 927 00:54:22,960 --> 00:54:26,080 Speaker 1: of these cases is like people giving each other the 928 00:54:26,120 --> 00:54:29,239 Speaker 1: wrong answer, like white guys giving other white guys the 929 00:54:29,280 --> 00:54:31,600 Speaker 1: wrong answer, but like doing it in a way that 930 00:54:31,680 --> 00:54:34,480 Speaker 1: makes them feel like really confident that like, wow, this 931 00:54:34,560 --> 00:54:37,520 Speaker 1: is just how everyone thinks. And you guys are just 932 00:54:37,560 --> 00:54:39,959 Speaker 1: mad about this because the COVID thing. You don't really 933 00:54:39,960 --> 00:54:43,879 Speaker 1: care that he said the N word, And it's like, well, 934 00:54:43,960 --> 00:54:49,600 Speaker 1: you clearly are, like are very isolated from how I 935 00:54:49,640 --> 00:54:53,880 Speaker 1: feel about the world and that word and the the 936 00:54:54,040 --> 00:54:58,520 Speaker 1: entire situation, but like you are also clearly very confident 937 00:54:58,800 --> 00:55:02,480 Speaker 1: in that point of view. Like it just feels so 938 00:55:02,840 --> 00:55:05,480 Speaker 1: I don't know, you see that in like these YouTube 939 00:55:05,840 --> 00:55:08,880 Speaker 1: rabbit holes that people go down and end up, you know, 940 00:55:09,320 --> 00:55:13,439 Speaker 1: wanting to join Jordan Peterson's culture or whatever. Like it's 941 00:55:13,520 --> 00:55:18,120 Speaker 1: just that there's something very conversational about podcasts and about 942 00:55:18,200 --> 00:55:25,520 Speaker 1: YouTube that allows people to just kind of soak in horrible, 943 00:55:25,520 --> 00:55:30,879 Speaker 1: shitty opinions that are things they always suspected because they 944 00:55:31,000 --> 00:55:34,759 Speaker 1: are also white guys who have the same fears and 945 00:55:34,800 --> 00:55:38,279 Speaker 1: insecurities as these other white guys. And you know, it 946 00:55:38,440 --> 00:55:42,600 Speaker 1: ends up with what we're seeing here, with Real Piece 947 00:55:42,600 --> 00:55:47,359 Speaker 1: of Ship being the most popular podcaster in America and 948 00:55:47,440 --> 00:55:50,400 Speaker 1: somebody who's being like defended by everyone. Yeah. I do 949 00:55:50,480 --> 00:55:53,480 Speaker 1: think that people who do not work in media or 950 00:55:53,600 --> 00:55:55,960 Speaker 1: entertainment also have this idea that if someone is like 951 00:55:55,960 --> 00:55:57,480 Speaker 1: at the top of the charts or has a best 952 00:55:57,520 --> 00:56:00,279 Speaker 1: seller or something, that means that like they deserve of it, 953 00:56:00,440 --> 00:56:03,480 Speaker 1: like their thoughts are worth learning about. But I think 954 00:56:03,600 --> 00:56:05,600 Speaker 1: if you've worked in the industry or for a while, 955 00:56:05,640 --> 00:56:08,400 Speaker 1: you're like, no, literally, sometimes things just hit. That's what 956 00:56:08,480 --> 00:56:10,560 Speaker 1: it is. That's all it comes down to. Like it 957 00:56:11,040 --> 00:56:14,160 Speaker 1: it's not meaningful that Joe Rogan has an audience in 958 00:56:14,160 --> 00:56:16,200 Speaker 1: the sense that like he didn't do anything. He's not 959 00:56:16,280 --> 00:56:19,160 Speaker 1: particularly insightful or anything like that. I mean, if you 960 00:56:19,200 --> 00:56:21,880 Speaker 1: need any more proof, Moonfall came out this weekend and 961 00:56:21,920 --> 00:56:24,720 Speaker 1: nobody went and saw it. It's like, come on, come on, people, 962 00:56:26,640 --> 00:56:31,960 Speaker 1: fuck is wrong with us? Well, Katherine, such a pleasure 963 00:56:32,000 --> 00:56:35,279 Speaker 1: having you. Thank you on Daily Zycheist as always. Where 964 00:56:35,320 --> 00:56:38,360 Speaker 1: can people find you? Follow you all that good stuff? 965 00:56:38,680 --> 00:56:43,120 Speaker 1: Let's see, Oh I just started a TikTok uh. Yeah, um, 966 00:56:43,160 --> 00:56:45,359 Speaker 1: that's at my name and then like I'm on all 967 00:56:45,440 --> 00:56:48,160 Speaker 1: the social media's under my name and yeah, my podcast 968 00:56:48,200 --> 00:56:50,040 Speaker 1: is smart Mouth, which is two words and then I 969 00:56:50,080 --> 00:56:53,399 Speaker 1: also have a newsletter on sub stacks, so smart mouth 970 00:56:53,480 --> 00:56:57,040 Speaker 1: dot substack dot com. And it is spelled it's pronounced spears, 971 00:56:57,080 --> 00:57:00,600 Speaker 1: but it is not spelled like Brittany. Hold on, now 972 00:57:00,640 --> 00:57:04,839 Speaker 1: I can't remember s T I E R S there 973 00:57:04,840 --> 00:57:10,880 Speaker 1: it is? Yeah, my last name, it's it is? And 974 00:57:11,120 --> 00:57:12,960 Speaker 1: is there a tweet or some of the work of 975 00:57:13,080 --> 00:57:16,280 Speaker 1: social media you've been enjoying. There was a tweet that 976 00:57:16,320 --> 00:57:19,640 Speaker 1: just made me go, and it was by armand Doma, 977 00:57:19,760 --> 00:57:21,959 Speaker 1: who said, I am thirty two years old and still 978 00:57:22,000 --> 00:57:25,280 Speaker 1: deeply terrified that consuming anything from the hotel room minibar 979 00:57:25,360 --> 00:57:29,560 Speaker 1: will bankrupt my entire family somehow. Yeah, I really remember 980 00:57:29,640 --> 00:57:33,600 Speaker 1: that feeling. Yeah, is that not true? Has anybody fact 981 00:57:33,640 --> 00:57:37,840 Speaker 1: checked that? I think that might be true? Joel, Where 982 00:57:37,880 --> 00:57:41,520 Speaker 1: can people find you? What is a tweet you've been enjoying? Yeah, 983 00:57:41,640 --> 00:57:43,320 Speaker 1: y'all know me angel and when he can find me 984 00:57:43,360 --> 00:57:45,840 Speaker 1: all over the internet? Actual whniqu gets j O E 985 00:57:46,000 --> 00:57:48,040 Speaker 1: L L E M O n I q u e 986 00:57:48,720 --> 00:57:51,240 Speaker 1: um cnn out. The next time you try to log 987 00:57:51,280 --> 00:57:54,680 Speaker 1: into internal Revenue Services website will be urged to use 988 00:57:54,720 --> 00:57:57,720 Speaker 1: facial recognition software to verify you are who you say 989 00:57:57,800 --> 00:58:00,840 Speaker 1: you are. My good friend pre Cheach re run with 990 00:58:00,960 --> 00:58:03,160 Speaker 1: Skissers says, can't want to get an extension on my 991 00:58:03,200 --> 00:58:05,760 Speaker 1: taxes because the i r S facial recognition software mix 992 00:58:05,840 --> 00:58:10,360 Speaker 1: me up with another brown person. Well solve which true? Great? 993 00:58:11,040 --> 00:58:13,800 Speaker 1: Why are we doing this? Someone else said I'm avoiding 994 00:58:13,800 --> 00:58:16,320 Speaker 1: euphoria spoilers, and then posted that image from the Mask 995 00:58:16,440 --> 00:58:19,000 Speaker 1: where dudes just like he hunches of his bridges and 996 00:58:19,040 --> 00:58:23,439 Speaker 1: his legs follow that's my favorite. Hey, I have one 997 00:58:23,920 --> 00:58:29,280 Speaker 1: more here? Oh an article from the Onion teacher fire 998 00:58:29,360 --> 00:58:32,280 Speaker 1: for breaking states critical race theory laws after telling students 999 00:58:32,360 --> 00:58:35,840 Speaker 1: she's black, which is where we're headed. So fun. Oh 1000 00:58:35,840 --> 00:58:39,520 Speaker 1: my god, Chris, alright, you can find me on Twitter 1001 00:58:39,560 --> 00:58:43,400 Speaker 1: at Jack Underscore O'Brien. A couple of tweets I've been enjoying. 1002 00:58:43,560 --> 00:58:46,400 Speaker 1: Meg's Stalter tweeted, what if we had to wash all 1003 00:58:46,440 --> 00:58:49,040 Speaker 1: our bones the way we wash our teeth would take 1004 00:58:49,080 --> 00:58:53,200 Speaker 1: a long time, which is true. Adam Serious tweeted, wife, 1005 00:58:53,240 --> 00:58:56,080 Speaker 1: I don't know who to shoot, clone him, me, me, 1006 00:58:57,960 --> 00:59:02,440 Speaker 1: and then pla. Vegan Allen, one of our favorite guests here, said, 1007 00:59:02,880 --> 00:59:06,400 Speaker 1: in response to that Whitney Cummings tweet, comedians will be 1008 00:59:06,440 --> 00:59:08,560 Speaker 1: like it's at her job to say things that make 1009 00:59:08,600 --> 00:59:11,880 Speaker 1: people uncomfortable and then can't even tell their racist friend 1010 00:59:11,880 --> 00:59:18,560 Speaker 1: to shut the funk out the best Yeah, I'm out 1011 00:59:18,640 --> 00:59:21,400 Speaker 1: of a pot. That was great. Yeah. You can find 1012 00:59:21,520 --> 00:59:23,959 Speaker 1: us on Twitter at Daily Zeitgeist. We're at the Daily 1013 00:59:24,040 --> 00:59:26,680 Speaker 1: Zygeist on Instagram, we have Facebook fan page on a 1014 00:59:26,760 --> 00:59:30,080 Speaker 1: website Daily ziitgeist dot com where we post our episodes 1015 00:59:30,440 --> 00:59:33,280 Speaker 1: and our footnotes link off to the information that we 1016 00:59:33,320 --> 00:59:36,959 Speaker 1: talked about in today's episode, as well as a song 1017 00:59:37,120 --> 00:59:41,680 Speaker 1: that we think you might enjoy and super producer Justin 1018 00:59:42,160 --> 00:59:44,600 Speaker 1: We do like to ask you do you do you 1019 00:59:44,600 --> 00:59:46,680 Speaker 1: have a song do you think people should go check out? 1020 00:59:47,240 --> 00:59:51,520 Speaker 1: I do? Thank you Jack. I'm going to continue this 1021 00:59:51,640 --> 00:59:56,200 Speaker 1: black artist trend of the amazing people that I'm on 1022 00:59:56,200 --> 01:00:00,120 Speaker 1: this journey discovering for you guys. I rant to this 1023 01:00:00,240 --> 01:00:03,000 Speaker 1: rapper named Tyler Thomas. I haven't heard any of this 1024 01:00:03,080 --> 01:00:07,280 Speaker 1: other stuff before, but this track Kamayama, which is you 1025 01:00:07,320 --> 01:00:09,680 Speaker 1: know the phrase I think it's from Dragon ball Z 1026 01:00:09,840 --> 01:00:13,400 Speaker 1: that they say before they're they're powerful move. It's an 1027 01:00:13,400 --> 01:00:18,080 Speaker 1: incredible track. Um. The slow tempo of the song and 1028 01:00:18,160 --> 01:00:22,000 Speaker 1: the space in between the notes really belies the energy 1029 01:00:22,120 --> 01:00:26,000 Speaker 1: that the lyrics and the vocal performance on this track 1030 01:00:26,120 --> 01:00:29,120 Speaker 1: come with because you know you're gonna hear different lyrics 1031 01:00:29,200 --> 01:00:31,360 Speaker 1: like I don't pull it out just to show you 1032 01:00:31,440 --> 01:00:34,360 Speaker 1: I might have to hit you with that goku kama yamaya, 1033 01:00:34,560 --> 01:00:36,680 Speaker 1: and then he just goes off, And I think it's 1034 01:00:37,280 --> 01:00:38,960 Speaker 1: a really good way to start off your weekend. If 1035 01:00:38,960 --> 01:00:42,440 Speaker 1: you're fighting those Tuesday blues and you need some energy, 1036 01:00:42,720 --> 01:00:46,080 Speaker 1: listen to this Tyler Thomas track Kama Yama. That will 1037 01:00:46,120 --> 01:00:48,880 Speaker 1: be in the footnotes at the bottom of the show notes. 1038 01:00:49,320 --> 01:00:51,880 Speaker 1: There you go, only day Garfield. Hey, it's more than 1039 01:00:51,920 --> 01:00:57,360 Speaker 1: Mondays Tuesdays, all right, you know. Anyways, The Daily Zaka 1040 01:00:57,480 --> 01:00:59,560 Speaker 1: is the production of Her Radio from More Podcast, My 1041 01:00:59,600 --> 01:01:01,960 Speaker 1: Her Radio, visit the heart radio app, Apple podcast, or 1042 01:01:01,960 --> 01:01:04,440 Speaker 1: wherever you listen to your favorite shows. That's gonna do 1043 01:01:04,480 --> 01:01:07,320 Speaker 1: it for us this morning. We are back this afternoon 1044 01:01:07,360 --> 01:01:10,240 Speaker 1: to tell you what's trending, and we'll talk to y'all 1045 01:01:10,400 --> 01:01:10,440 Speaker 1: ight