1 00:00:00,080 --> 00:00:03,520 Speaker 1: Hello the Internet, and welcome to season one twenties of 2 00:00:03,560 --> 00:00:07,159 Speaker 1: an episode five of dir Daily Night Geist, a production 3 00:00:07,440 --> 00:00:10,080 Speaker 1: of I Heart Radio. This is a podcast where we 4 00:00:10,160 --> 00:00:13,880 Speaker 1: take a deep dive into America's share consciousness and say, officially, 5 00:00:14,040 --> 00:00:19,400 Speaker 1: off the top, fuck the Koch Brothers, fuck Fox News, 6 00:00:22,120 --> 00:00:26,480 Speaker 1: suck at all. It's Friday, April. Third name is Jack O'Brien, 7 00:00:26,520 --> 00:00:31,720 Speaker 1: a k sitting in a bath of pure le, watching 8 00:00:31,840 --> 00:00:37,680 Speaker 1: the world go to hell, sitting in a bath of 9 00:00:37,880 --> 00:00:44,519 Speaker 1: purel binge jin prime. This courtesy of Snarls Barkley, and 10 00:00:44,640 --> 00:00:47,200 Speaker 1: I'm thrilled to be joined as always by my co host, 11 00:00:47,400 --> 00:00:51,720 Speaker 1: Mr Miles Gray. Yes it's Miles Gray, but in this 12 00:00:51,800 --> 00:00:55,920 Speaker 1: time I must transform into my higher self aspiring Jedi. 13 00:00:56,200 --> 00:01:00,200 Speaker 1: Gather around my padawan burners for I am Miles Way, 14 00:01:00,440 --> 00:01:04,880 Speaker 1: Miles Great. A quar gone Jin from episode one, The 15 00:01:04,959 --> 00:01:09,480 Speaker 1: Phantom Menace. I just thoughted that right now, and I 16 00:01:09,480 --> 00:01:11,399 Speaker 1: don't even know where my head is, but I needed 17 00:01:11,440 --> 00:01:14,160 Speaker 1: to get a Liam Neeson qui gon Jin reference in 18 00:01:14,200 --> 00:01:17,560 Speaker 1: there right now. The journey. Oh hell yeah, I get 19 00:01:17,600 --> 00:01:20,200 Speaker 1: it now. I didn't. I didn't even know what what 20 00:01:20,280 --> 00:01:22,759 Speaker 1: it was a play on in the first place. Dude, 21 00:01:22,880 --> 00:01:37,720 Speaker 1: qui jimgon jim love that guy whenever having an Jimmy Huh. 22 00:01:38,600 --> 00:01:41,920 Speaker 1: We're thrilled to be joined in our third seat by 23 00:01:41,959 --> 00:01:47,319 Speaker 1: the hilarious, the talented, the little zam herself, Jamie Lofts. 24 00:01:48,160 --> 00:01:55,600 Speaker 1: Jane says, don't stop that Cardio pleased me likingness, so 25 00:01:57,560 --> 00:02:04,600 Speaker 1: fuck up to Jame's gotta kick my ass to my 26 00:02:08,360 --> 00:02:13,200 Speaker 1: that's from CHRISTI Yamagucci main at crispymme donut. That's for 27 00:02:13,320 --> 00:02:15,680 Speaker 1: real heads that No. I've been doing the Jane Fonda 28 00:02:15,760 --> 00:02:19,600 Speaker 1: exercise every day for twenty days. It's hard as ship. 29 00:02:19,880 --> 00:02:23,679 Speaker 1: It's getting easier, but she's so like she's I don't 30 00:02:23,720 --> 00:02:25,639 Speaker 1: view her as horny anymore now. It's just starting to 31 00:02:25,680 --> 00:02:30,080 Speaker 1: get like a little like uh, a little aggressive, little 32 00:02:30,080 --> 00:02:32,960 Speaker 1: passive aggressive. I mean, I just like the layers of 33 00:02:32,960 --> 00:02:35,320 Speaker 1: that a K two because it's a Jane Fonda. But 34 00:02:35,440 --> 00:02:38,760 Speaker 1: Jane's addiction, it's just all it's it's it's really genius 35 00:02:38,919 --> 00:02:43,160 Speaker 1: shout out levels. Yeah, I'm legitimately a fan of Jamie 36 00:02:43,200 --> 00:02:46,600 Speaker 1: loftus as singing boys. I want her to launch a 37 00:02:46,639 --> 00:02:50,080 Speaker 1: career as a recording artist after this quarantine. This is 38 00:02:50,520 --> 00:02:54,160 Speaker 1: my Yeah, we should team up to make her like 39 00:02:54,200 --> 00:02:57,720 Speaker 1: the new industry plant and like put like nine brands 40 00:02:57,800 --> 00:03:01,880 Speaker 1: on this and make Jamie the new Billie Eilish loved 41 00:03:02,080 --> 00:03:04,560 Speaker 1: Billie Eilish. We got to figure out what my what 42 00:03:04,680 --> 00:03:07,560 Speaker 1: my weird clothes thing is. They're like, Okay, the sweatshirt 43 00:03:07,680 --> 00:03:14,880 Speaker 1: is big, uh go go and she wears a two 44 00:03:14,960 --> 00:03:16,800 Speaker 1: tou as a hat. We're thrilled to be joined in 45 00:03:16,840 --> 00:03:23,800 Speaker 1: our fourth seat by the hilarious comedian Paula vanalen Hi, 46 00:03:25,240 --> 00:03:31,440 Speaker 1: broadcasting live from my tiny bedroom. Love it. Everyone's in 47 00:03:31,480 --> 00:03:33,880 Speaker 1: confined quarters now. I like how we just see how 48 00:03:33,919 --> 00:03:38,600 Speaker 1: each other lives. Now, Like that's I've learned way too 49 00:03:38,640 --> 00:03:42,040 Speaker 1: much about comedians from these live shows. Yeah, I feel 50 00:03:42,080 --> 00:03:45,560 Speaker 1: like my background looks like I'm crashing with my girlfriend 51 00:03:45,560 --> 00:03:47,800 Speaker 1: who has her ship together and it's like working on 52 00:03:47,840 --> 00:03:49,800 Speaker 1: her master's degree. I feel like it's the vibe of 53 00:03:49,880 --> 00:03:52,880 Speaker 1: my background, like you're just crashing with her right now? 54 00:03:53,560 --> 00:03:55,440 Speaker 1: Can I use your office? I just need it for 55 00:03:55,440 --> 00:03:59,640 Speaker 1: a second. I'm honestly I'm gonna like paint my room 56 00:03:59,680 --> 00:04:02,760 Speaker 1: this again, just because I've been I've been getting insecure 57 00:04:02,800 --> 00:04:04,360 Speaker 1: about it and like I look like I live in 58 00:04:04,360 --> 00:04:07,880 Speaker 1: an airbnb. What if every time you you did a 59 00:04:07,880 --> 00:04:12,400 Speaker 1: podcast or a live show, you like painted your room. 60 00:04:12,520 --> 00:04:15,160 Speaker 1: The stress of just that background stress. You're like, I 61 00:04:15,200 --> 00:04:17,200 Speaker 1: don't know, man, the last I looked shitty in that 62 00:04:17,279 --> 00:04:18,919 Speaker 1: last one. Maybe I'm gonna spruce it up with like 63 00:04:18,920 --> 00:04:22,120 Speaker 1: a coalbalt blue or something in here. Matt was stressing 64 00:04:22,200 --> 00:04:24,039 Speaker 1: me out earlier this week, because when Matt was on 65 00:04:24,080 --> 00:04:26,320 Speaker 1: the show earlier this week, he wasn't I was like, 66 00:04:26,320 --> 00:04:29,760 Speaker 1: where the funk was he? He had like framed pictures 67 00:04:29,800 --> 00:04:34,320 Speaker 1: of succulents above his head. I'm like, okay, he lives. Well, 68 00:04:34,800 --> 00:04:36,960 Speaker 1: I just assume they're with their living with their parents 69 00:04:37,080 --> 00:04:39,920 Speaker 1: right now. That's all I'm gonna I like, the bar 70 00:04:40,080 --> 00:04:43,040 Speaker 1: is sort of like succulents hung above your head. Okay, 71 00:04:43,080 --> 00:04:48,320 Speaker 1: one night, I see what's going on? All right, Paul V. 72 00:04:48,400 --> 00:04:49,680 Speaker 1: We're going to get to know you a little bit 73 00:04:49,760 --> 00:04:51,960 Speaker 1: better in a moment. First, we're gonna tell our listeners 74 00:04:52,000 --> 00:04:55,520 Speaker 1: what we're talking about. We're just going full Krasinski all 75 00:04:55,600 --> 00:05:02,360 Speaker 1: good news all the time. Guys. Uh John, John, Why 76 00:05:02,400 --> 00:05:05,080 Speaker 1: is there another Krasinski? I don't know Emily Blunt take 77 00:05:05,200 --> 00:05:12,120 Speaker 1: his last name. Finally, no, Yeah, John Krasinski launches some 78 00:05:12,200 --> 00:05:16,279 Speaker 1: good news network and uh, actually we can't. We can't 79 00:05:16,320 --> 00:05:19,920 Speaker 1: do it. We we don't you know that that's the 80 00:05:20,040 --> 00:05:26,240 Speaker 1: Krasinski lane. We're going to talk about what's actually happening. Yeah, yeah, 81 00:05:26,320 --> 00:05:30,440 Speaker 1: fuck you Krasinski. We're going to add that to the intro. 82 00:05:33,000 --> 00:05:36,320 Speaker 1: I didn't know that John Karski had a positive news website. 83 00:05:36,360 --> 00:05:39,640 Speaker 1: That's so embarrassing for him. It just started it on Monday. Yeah, 84 00:05:40,520 --> 00:05:42,479 Speaker 1: you know, guys, just really you can tell like, this 85 00:05:42,520 --> 00:05:44,280 Speaker 1: is what people need right now. So let me lean 86 00:05:44,320 --> 00:05:46,919 Speaker 1: on Steve Carrell to distract you from the fact that 87 00:05:47,000 --> 00:05:49,760 Speaker 1: maybe my films are like subliminal messages to the right 88 00:05:49,800 --> 00:05:54,000 Speaker 1: wing of the people relying on Steve Carrell. And there's 89 00:05:54,040 --> 00:05:58,200 Speaker 1: I mean, he's had enough. Leave Steve Carrell alone, let 90 00:05:58,240 --> 00:06:01,840 Speaker 1: him rest. Chris Evans has that embarrassing website to where 91 00:06:01,920 --> 00:06:05,480 Speaker 1: he's like, is polity He's There was a whole g 92 00:06:05,600 --> 00:06:08,159 Speaker 1: Q article on it. It was like Chris Evans his 93 00:06:08,360 --> 00:06:13,039 Speaker 1: next his his next conquest the Internet. And it's just 94 00:06:13,080 --> 00:06:16,000 Speaker 1: supposed to be like a politics website where it's like 95 00:06:16,200 --> 00:06:19,560 Speaker 1: Chris Evans is like, so you're stupid, you don't understand politics. 96 00:06:19,720 --> 00:06:22,680 Speaker 1: Let me Chris Evans explain it to you on YouTube 97 00:06:23,640 --> 00:06:26,560 Speaker 1: also like a like a really handsome and like very 98 00:06:26,600 --> 00:06:32,119 Speaker 1: patronizing Adam Conover basically or maybe like Margot Robbie in 99 00:06:32,200 --> 00:06:36,280 Speaker 1: The Big Short, I don't know, now that they've got 100 00:06:36,279 --> 00:06:43,400 Speaker 1: your attention, dipshit video started, I like how this as 101 00:06:43,440 --> 00:06:46,360 Speaker 1: I find out that Adam Conover isn't Miles this type, 102 00:06:48,600 --> 00:06:51,920 Speaker 1: Adam is my type, his perfectly hair. Whenever I see him, 103 00:06:51,960 --> 00:06:54,840 Speaker 1: I'm always in all of his perfect super hot miles 104 00:06:55,800 --> 00:07:00,880 Speaker 1: um and don't you forget don't you forget it? Try Miles. 105 00:07:00,880 --> 00:07:07,160 Speaker 1: He's so now that I've got your attention, dipship would 106 00:07:07,160 --> 00:07:11,679 Speaker 1: be a great parody YouTube for like all the hot 107 00:07:11,760 --> 00:07:16,160 Speaker 1: dudes giving like news, just like working out like huge. Oh, 108 00:07:16,640 --> 00:07:18,720 Speaker 1: I want them to still do the spreading of the 109 00:07:18,800 --> 00:07:20,680 Speaker 1: legs thing. I want them to still be in like 110 00:07:20,800 --> 00:07:25,760 Speaker 1: the robe and like funny, it's like now that I've 111 00:07:25,800 --> 00:07:28,200 Speaker 1: got your attention, and then he'll like flex and be 112 00:07:28,200 --> 00:07:33,120 Speaker 1: like let's talk about Jerryman during or he does like 113 00:07:33,160 --> 00:07:35,840 Speaker 1: the basic instinct leg crossing, but he just sees like 114 00:07:35,880 --> 00:07:41,840 Speaker 1: old balls in the show, like oh no, all right, 115 00:07:42,000 --> 00:07:45,560 Speaker 1: what are we talking about today other than Chris Evans's 116 00:07:45,800 --> 00:07:50,720 Speaker 1: old balls. I don't know why he has such old balls. 117 00:07:50,800 --> 00:07:53,320 Speaker 1: I think it came from it was it was the 118 00:07:53,360 --> 00:07:56,840 Speaker 1: adventures I'm referencing. I think I have a big daddy 119 00:07:56,880 --> 00:07:59,320 Speaker 1: line stuck in my head. Where again, this is how 120 00:07:59,360 --> 00:08:02,160 Speaker 1: my mind works. Where Adam Sandlers really pissed that his 121 00:08:02,240 --> 00:08:04,480 Speaker 1: girlfriend is dating an old man. He's like, Oh, I'm 122 00:08:04,520 --> 00:08:07,800 Speaker 1: glad you're with him with his loose skin, and old 123 00:08:07,840 --> 00:08:13,800 Speaker 1: balls grows. All right, We're gonna look at where Americans 124 00:08:13,840 --> 00:08:19,320 Speaker 1: aren't taking the stay at home order seriously. Or maybe 125 00:08:19,440 --> 00:08:22,640 Speaker 1: that's not what's happening. Maybe they just don't have the 126 00:08:22,680 --> 00:08:27,320 Speaker 1: ability to get too nearby grocery stores. All depends on 127 00:08:27,360 --> 00:08:31,680 Speaker 1: how the n y T wants to present that information. Right, right, 128 00:08:31,960 --> 00:08:36,880 Speaker 1: But we we are snitching just generally. This information is pulled, 129 00:08:37,240 --> 00:08:39,680 Speaker 1: the information on who's standing at home who's not pulled 130 00:08:39,720 --> 00:08:42,599 Speaker 1: from like our cell phone records. And then there is 131 00:08:42,640 --> 00:08:46,280 Speaker 1: an article about how we're all snitching on our neighbors 132 00:08:46,320 --> 00:08:49,960 Speaker 1: and any local businesses that didn't close, which we'll we'll 133 00:08:49,960 --> 00:08:52,400 Speaker 1: talk about that. I don't necessarily know how to feel 134 00:08:52,400 --> 00:08:56,000 Speaker 1: about that. Uh. The U s head it's deadliest day, 135 00:08:56,400 --> 00:09:00,000 Speaker 1: uh and the world's deadliest day of any country during 136 00:09:00,040 --> 00:09:06,280 Speaker 1: the pandemic with a thousand people dying on Wednesday. Um, 137 00:09:06,440 --> 00:09:10,320 Speaker 1: we're gonna talk about cloth masks. That's a thing that 138 00:09:10,760 --> 00:09:15,320 Speaker 1: l A is now telling everybody who ventures outside of 139 00:09:15,320 --> 00:09:20,640 Speaker 1: their home for a necessary errand to wear cloth masks 140 00:09:20,920 --> 00:09:26,160 Speaker 1: time they're out alcohol. Have you guys heard about alcohol? Hey? Yeah, 141 00:09:27,920 --> 00:09:34,960 Speaker 1: just write it. Actually, WHOA you're closing right now, Jane 142 00:09:35,040 --> 00:09:37,400 Speaker 1: Claw there, we got the tropical pack. I was I 143 00:09:37,440 --> 00:09:40,719 Speaker 1: was psyched about it in the building when cloth this 144 00:09:40,920 --> 00:09:45,240 Speaker 1: is activated, Dude, Rock watch the funk out. Um, we're 145 00:09:45,280 --> 00:09:48,920 Speaker 1: gonna talk about the fact that alcohol is apparently, uh 146 00:09:49,160 --> 00:09:53,720 Speaker 1: seeing a surge and popularity right now. During during the choir, 147 00:09:54,520 --> 00:09:58,679 Speaker 1: we're gonna check in with Joe Exotic. He has spoken, uh, 148 00:09:58,720 --> 00:10:03,760 Speaker 1: he wants either bread pit or Joe Dirt, so he 149 00:10:03,880 --> 00:10:10,120 Speaker 1: puts it in his own what a range way of staying? 150 00:10:10,559 --> 00:10:14,200 Speaker 1: Is that his way of saying? Um, David Spade sad. Yeah, 151 00:10:14,320 --> 00:10:15,880 Speaker 1: he just called him. He's like you guys like, yeah, 152 00:10:15,920 --> 00:10:21,200 Speaker 1: Brad Pitt or Joe Dirt. That's the answer, is Sam 153 00:10:21,280 --> 00:10:26,480 Speaker 1: Rockwell though, oh yeah, yes, absolutely. Uh. There's a paycheck 154 00:10:26,520 --> 00:10:31,120 Speaker 1: Protection Plan p p P that people should be checking out. Productivity, 155 00:10:31,679 --> 00:10:36,280 Speaker 1: an expert on productivity, says relax. M Yeah, that expert 156 00:10:36,360 --> 00:10:41,880 Speaker 1: was me from like two shows ago. Okay, okay. Animal 157 00:10:41,960 --> 00:10:46,520 Speaker 1: crossing has surpassed the words sex in terms of searches, 158 00:10:46,640 --> 00:10:50,240 Speaker 1: according to Google. So I don't know if that has 159 00:10:50,280 --> 00:10:53,199 Speaker 1: something to do with the fact that people don't just 160 00:10:53,600 --> 00:10:58,000 Speaker 1: type sex in. Maybe we're getting smarter at Internet. I 161 00:10:58,040 --> 00:10:59,920 Speaker 1: think we know, yeah, we know how to do sex. 162 00:11:00,280 --> 00:11:05,079 Speaker 1: That's that's That's what I'm taking there yet, right sexual education? 163 00:11:05,840 --> 00:11:12,080 Speaker 1: Who's uh porn search term is just typing sex into Google? Okay, 164 00:11:12,160 --> 00:11:14,480 Speaker 1: first of all, that was like me, Yeah, that was 165 00:11:14,559 --> 00:11:16,720 Speaker 1: me very early when like I had to use ALTI 166 00:11:16,760 --> 00:11:19,960 Speaker 1: Vista to find that ship. I'm still typing that in 167 00:11:21,600 --> 00:11:24,800 Speaker 1: sex show me sex. Yeah, but you get you get 168 00:11:24,840 --> 00:11:27,880 Speaker 1: more like refined as you get older. You're like hot sex, 169 00:11:28,559 --> 00:11:32,160 Speaker 1: like triple X sex. I don't know what that is. 170 00:11:32,280 --> 00:11:36,120 Speaker 1: But I got in trouble when I was in fifth 171 00:11:36,200 --> 00:11:42,680 Speaker 1: grade for googling Ashton Kutcher no shirt. What do you mean? 172 00:11:43,120 --> 00:11:45,599 Speaker 1: How did you get caught that bad? Bad because I 173 00:11:45,679 --> 00:11:49,280 Speaker 1: left it on the screen, forgot, forgot left it open. 174 00:11:50,440 --> 00:11:52,680 Speaker 1: Wait it was at your home or at school? It 175 00:11:52,800 --> 00:11:54,840 Speaker 1: was at school. I used to I was a real 176 00:11:54,920 --> 00:11:57,200 Speaker 1: indoor kid, and I like galaxy brained my teacher and 177 00:11:57,240 --> 00:11:58,520 Speaker 1: I was like, I should be allowed to be on 178 00:11:58,559 --> 00:12:01,280 Speaker 1: the computer instead of going out a recess and he 179 00:12:01,400 --> 00:12:03,400 Speaker 1: was like all right, and you're a good kid. And 180 00:12:03,440 --> 00:12:05,960 Speaker 1: so me and my best friend Jade Perkins would google 181 00:12:06,040 --> 00:12:10,160 Speaker 1: Ashton Kutcher's shirtless for like twenty minutes every day, like 182 00:12:10,640 --> 00:12:16,240 Speaker 1: Kelso era hottest, what's the hottest Ashton Kutcher shirtless shirt 183 00:12:16,320 --> 00:12:18,800 Speaker 1: that you remember? What's burned into your memory? Which one? 184 00:12:19,080 --> 00:12:23,720 Speaker 1: There's a very specific bad photoshop him like a bat 185 00:12:23,840 --> 00:12:26,640 Speaker 1: a photoshop. It was a photoshop because it was new. 186 00:12:27,960 --> 00:12:30,320 Speaker 1: I don't think that they were like school filters on 187 00:12:30,440 --> 00:12:34,120 Speaker 1: and so we like escalated the searches and there was like, yes, 188 00:12:34,200 --> 00:12:38,440 Speaker 1: someone has like no no pants, Ashton Kutcher's head shot 189 00:12:38,480 --> 00:12:44,079 Speaker 1: onto like a porn star and we were like, whoa 190 00:12:47,200 --> 00:12:52,240 Speaker 1: now Ashton Kutcher fakes. I love it. I think like 191 00:12:52,280 --> 00:12:58,200 Speaker 1: my most embarrassing searches have ended with no shirt. I 192 00:12:58,280 --> 00:13:00,199 Speaker 1: was about to ask you, what's something from your church 193 00:13:00,280 --> 00:13:02,960 Speaker 1: history that's revealing, but I think we just learned it's 194 00:13:03,320 --> 00:13:06,200 Speaker 1: it's actually it is, it is really it's along the 195 00:13:06,280 --> 00:13:10,400 Speaker 1: same lines, do you know Dr Fossey, who's dealing with 196 00:13:10,440 --> 00:13:12,640 Speaker 1: the infectious disease. Is he's a guy in the background 197 00:13:12,640 --> 00:13:18,040 Speaker 1: of all of the Trump press briefings. Fauci. Yeah, somebody 198 00:13:18,160 --> 00:13:20,439 Speaker 1: was like, oh my god, he's so handsome on Twitter, 199 00:13:20,480 --> 00:13:22,080 Speaker 1: and then we're like, you should see him young, and 200 00:13:22,120 --> 00:13:25,640 Speaker 1: I like, I did, Dr Fauci and he just looks 201 00:13:25,720 --> 00:13:30,160 Speaker 1: the same, but with darker hair. It's it's a it's 202 00:13:30,160 --> 00:13:33,839 Speaker 1: a similar like no shirt. But for nerds, you know, 203 00:13:34,440 --> 00:13:39,160 Speaker 1: always someone then with young you're like, oh my goodness, yeah, 204 00:13:39,280 --> 00:13:43,559 Speaker 1: did you know at one point they were less old. Yeah. 205 00:13:43,760 --> 00:13:46,600 Speaker 1: It's never not shocking to me when people are younger 206 00:13:46,640 --> 00:13:50,319 Speaker 1: than they are currently. Do you ever do you ever 207 00:13:50,360 --> 00:13:52,440 Speaker 1: google somebody young and you're like, I could have had 208 00:13:52,480 --> 00:13:56,800 Speaker 1: a shot with them back. Yeah, yeah, yeah. I think 209 00:13:56,800 --> 00:14:00,200 Speaker 1: that's the point, is you google someone young and you're like, oh, yeah, 210 00:14:00,200 --> 00:14:04,560 Speaker 1: that's that's in my league. I think the most frustrating 211 00:14:04,559 --> 00:14:06,400 Speaker 1: thing is when you search someone who's like a villain 212 00:14:06,679 --> 00:14:10,720 Speaker 1: and they're hot, when and you're like, what the fuck no, 213 00:14:11,920 --> 00:14:14,960 Speaker 1: like a real life villain. Yeah yeah, like someone like 214 00:14:15,000 --> 00:14:17,800 Speaker 1: shitty in the news or something. You're like, god damn. 215 00:14:18,080 --> 00:14:21,080 Speaker 1: But people, people people do that, like in real time 216 00:14:21,120 --> 00:14:24,520 Speaker 1: with like Tommy Laren and stuff. Right like they they're 217 00:14:24,560 --> 00:14:28,080 Speaker 1: like they're thirsty, but they're like, I hate this pre 218 00:14:28,240 --> 00:14:35,360 Speaker 1: facelift Tommy Laren. Oh what is something you think is underrated? Um? Oh, okay, 219 00:14:35,400 --> 00:14:38,200 Speaker 1: this is a personal vendetta that I have, but um, 220 00:14:38,280 --> 00:14:40,800 Speaker 1: I feel like drag queens are underrated. I got into 221 00:14:40,960 --> 00:14:44,440 Speaker 1: I've been on on the apps, still chatting with guys, 222 00:14:44,560 --> 00:14:47,080 Speaker 1: and I'm pretty sure guy won't text me back because 223 00:14:47,120 --> 00:14:50,360 Speaker 1: I got upset that he wasn't supportive or enthusiastic enough 224 00:14:50,560 --> 00:14:56,640 Speaker 1: about drag queens. So he was like that conversation got heated, 225 00:14:56,640 --> 00:14:58,720 Speaker 1: and I was like, I'm fine, but you need to 226 00:14:58,840 --> 00:15:02,320 Speaker 1: be more. Second way, Okay, what happened? What did you 227 00:15:02,360 --> 00:15:05,040 Speaker 1: What did you bring up where you found the divide? Well, 228 00:15:05,080 --> 00:15:08,000 Speaker 1: my roommate loves watching um drags, so we watched like 229 00:15:08,040 --> 00:15:09,920 Speaker 1: a live stream of all these drag queens and it 230 00:15:09,960 --> 00:15:12,080 Speaker 1: was like it was you know, everybody was figuring out 231 00:15:12,080 --> 00:15:14,400 Speaker 1: their live stream, so like it was lagging a bit 232 00:15:14,480 --> 00:15:17,120 Speaker 1: or whatever, but it was awesome. And I told them 233 00:15:17,160 --> 00:15:18,560 Speaker 1: that that's what I was up to, and he was like, 234 00:15:18,880 --> 00:15:21,040 Speaker 1: I just don't understand drag queens, Like all they do 235 00:15:21,120 --> 00:15:24,400 Speaker 1: is lip sync, and I was like, no, it's entertainment, 236 00:15:24,960 --> 00:15:28,360 Speaker 1: it's make up, it's style, it's entertaining. And I was 237 00:15:28,400 --> 00:15:32,600 Speaker 1: like the backgrounds, the clones, that's some real reductive ship 238 00:15:32,920 --> 00:15:36,840 Speaker 1: to say. I know, like all right, your turn, try it, 239 00:15:37,360 --> 00:15:39,280 Speaker 1: I know. And he was like he was like, no, 240 00:15:39,360 --> 00:15:41,800 Speaker 1: I support them, I just don't like connect. And I 241 00:15:41,840 --> 00:15:46,880 Speaker 1: was like, well, this is still a problem. Your connection 242 00:15:47,000 --> 00:15:50,160 Speaker 1: is a symptom of a larger problem. I think maybe 243 00:15:50,320 --> 00:15:52,720 Speaker 1: maybe like you gotta walk them through the history. I mean, like, 244 00:15:52,800 --> 00:15:54,920 Speaker 1: like that's not on you to educate these people, you know, 245 00:15:55,520 --> 00:15:57,440 Speaker 1: especially when especially in the choir, are you trying to 246 00:15:57,440 --> 00:16:00,240 Speaker 1: find somebody that's ready to go, not some you have 247 00:16:00,440 --> 00:16:04,600 Speaker 1: to raise ready to go from their own home. Yeah, 248 00:16:04,680 --> 00:16:06,360 Speaker 1: And then you just say, like, I guess you should 249 00:16:06,360 --> 00:16:08,080 Speaker 1: start with being like have you seen Paris is burning? 250 00:16:10,160 --> 00:16:12,880 Speaker 1: Leave it there. Let that be your litmus test. What 251 00:16:13,040 --> 00:16:17,200 Speaker 1: is something you think is overrated? Um? Well, now that 252 00:16:17,240 --> 00:16:19,520 Speaker 1: I can't do it stand up comedy, don't come back 253 00:16:19,560 --> 00:16:24,080 Speaker 1: to it. But just don't come back. I have a 254 00:16:24,160 --> 00:16:26,600 Speaker 1: feeling it's gonna be like twelve, you know how there's 255 00:16:26,640 --> 00:16:30,080 Speaker 1: New Year's comics and they like it's there's like a 256 00:16:30,200 --> 00:16:33,000 Speaker 1: spike in comedians at the beginning of the year. I 257 00:16:33,040 --> 00:16:35,360 Speaker 1: think it's gonna be so bad when we get out 258 00:16:35,360 --> 00:16:38,640 Speaker 1: of quarantine, Like everyone who's wanted to try anything ever 259 00:16:38,840 --> 00:16:40,640 Speaker 1: is going to be on, and then also all of 260 00:16:40,640 --> 00:16:43,120 Speaker 1: the regular comedians are just gonna be itching for stage time. 261 00:16:44,080 --> 00:16:46,080 Speaker 1: It's going to be so bad. I was thinking about 262 00:16:46,040 --> 00:16:49,080 Speaker 1: that yesterday and it gave me a massive wave of anxiety, 263 00:16:49,120 --> 00:16:51,160 Speaker 1: and like, it's it's going to be worse than being 264 00:16:51,200 --> 00:16:53,400 Speaker 1: in the choir is being out and people being like 265 00:16:53,560 --> 00:16:56,120 Speaker 1: I've been workshopping a lot of stuff. You're just like, 266 00:16:57,000 --> 00:16:58,920 Speaker 1: I think I'm not gonna come out. I'm not going 267 00:16:58,960 --> 00:17:00,720 Speaker 1: to come out for a couple of week until after 268 00:17:01,160 --> 00:17:06,320 Speaker 1: likely I'm gonna like let all the animals feed and 269 00:17:06,320 --> 00:17:09,440 Speaker 1: then I'm gonna come by later. Okay, what about this though, 270 00:17:09,560 --> 00:17:13,240 Speaker 1: What if, right, people are so hungry for just stand 271 00:17:13,280 --> 00:17:15,520 Speaker 1: up comedy that the people who get out there first 272 00:17:15,560 --> 00:17:18,520 Speaker 1: are with some of the most receptive audiences and can 273 00:17:18,560 --> 00:17:22,440 Speaker 1: somehow write a postcar wave where people like y'all got choar, brain, 274 00:17:22,640 --> 00:17:24,600 Speaker 1: this is not funny. This is just funny to you 275 00:17:24,800 --> 00:17:26,879 Speaker 1: because you've been inside all the time, and they're like, 276 00:17:26,920 --> 00:17:29,000 Speaker 1: we find these like I bet you there's gonna be 277 00:17:29,040 --> 00:17:32,119 Speaker 1: one person who like rides a postcar wave where everyone's like, 278 00:17:32,119 --> 00:17:34,879 Speaker 1: this is objectively not good and we're only loving this 279 00:17:34,920 --> 00:17:38,080 Speaker 1: because we've been inside the whole time. Yeah, sure that 280 00:17:38,160 --> 00:17:40,400 Speaker 1: it's going to be Jeff Low. It's gonna be Jeff. 281 00:17:42,520 --> 00:17:45,200 Speaker 1: I mean I missed, I missed performing a lot, But 282 00:17:45,240 --> 00:17:48,320 Speaker 1: the first couple of weeks are gonna fucking suck. They're 283 00:17:48,359 --> 00:17:52,120 Speaker 1: gonna be worse than being locked inside. I wouldnt even 284 00:17:52,160 --> 00:17:55,920 Speaker 1: know that New Year's Comic was a thing. Oh yeah, 285 00:17:56,080 --> 00:17:59,359 Speaker 1: I mean I was a New Year's comic. Technically, my 286 00:17:59,440 --> 00:18:02,280 Speaker 1: first type of Mike was in a January but whatever. 287 00:18:02,400 --> 00:18:06,040 Speaker 1: And you were working on a PhD in the midst 288 00:18:06,400 --> 00:18:12,880 Speaker 1: in a very relevant field, right, yeah, super relevant herself. 289 00:18:13,200 --> 00:18:18,800 Speaker 1: I yeah, I quit that in December, and it is sad. Okay, 290 00:18:18,800 --> 00:18:21,440 Speaker 1: so I was actually so, I'm a biomedical engineer. I 291 00:18:21,480 --> 00:18:24,000 Speaker 1: quit my PhD in December. Before my PhD, I was 292 00:18:24,040 --> 00:18:26,879 Speaker 1: working in infectious diseases. So if I had stayed on 293 00:18:26,960 --> 00:18:30,200 Speaker 1: at that job, we would be developing Corona controls right now. 294 00:18:30,840 --> 00:18:33,960 Speaker 1: And my friends are. So it's uh, it's interesting talking 295 00:18:33,960 --> 00:18:37,400 Speaker 1: about how does that feel like being like you left 296 00:18:37,440 --> 00:18:39,440 Speaker 1: that industry, which suddenly now is probably one of the 297 00:18:39,520 --> 00:18:42,879 Speaker 1: most important fields of medicine or science right now. And 298 00:18:42,880 --> 00:18:46,000 Speaker 1: you're kind of like, yeah, did you feel stressed out 299 00:18:46,040 --> 00:18:48,119 Speaker 1: or just part are you getting? Like I'm sorry, Miles, 300 00:18:48,160 --> 00:18:51,080 Speaker 1: you're breaking up. I can't hear you. I'm so sorry. 301 00:18:51,840 --> 00:18:57,199 Speaker 1: Must be some crazy thing with the connection field. It 302 00:18:57,240 --> 00:19:00,000 Speaker 1: feels fucking awful. But I did. Okay, So I did 303 00:19:00,160 --> 00:19:02,600 Speaker 1: join I was telling you guys, I joined this group 304 00:19:02,680 --> 00:19:04,840 Speaker 1: of like a bunch of so there are engineers and 305 00:19:04,920 --> 00:19:06,800 Speaker 1: doctors that are like, well, I don't know if doctors 306 00:19:06,800 --> 00:19:09,320 Speaker 1: have time, but a bunch of medical professionals that are 307 00:19:09,320 --> 00:19:12,000 Speaker 1: like volunteering to try to like make new designs for 308 00:19:12,040 --> 00:19:16,240 Speaker 1: face masks and ventilators and ventilator splitters if necessary. Um, 309 00:19:16,480 --> 00:19:18,479 Speaker 1: And so I joined a group of a bunch of 310 00:19:18,480 --> 00:19:21,639 Speaker 1: engineers and like, now I'm actually I have a purpose again. 311 00:19:22,320 --> 00:19:24,679 Speaker 1: It was like I was like, think, I was like 312 00:19:24,720 --> 00:19:27,840 Speaker 1: all this extra time not doing live stand up comedy, 313 00:19:27,840 --> 00:19:30,880 Speaker 1: which is what I quit my PhD for. Maybe I'll 314 00:19:31,160 --> 00:19:33,399 Speaker 1: I don't know, throw it back into some sort of 315 00:19:33,440 --> 00:19:39,520 Speaker 1: PhD type hours. But it's yeah, it actually feels really good. 316 00:19:39,560 --> 00:19:42,000 Speaker 1: Like I'm like, oh, okay, now I know what I'm 317 00:19:42,000 --> 00:19:44,720 Speaker 1: doing because I was having so much anxiety from not 318 00:19:44,760 --> 00:19:48,080 Speaker 1: having control over anything, and then this finally like gave 319 00:19:48,119 --> 00:19:50,399 Speaker 1: me something to do where I'm like, Okay, well this 320 00:19:50,480 --> 00:19:52,520 Speaker 1: is me like figuring it out and like trying to 321 00:19:52,520 --> 00:19:55,240 Speaker 1: control what I can uh. And finally, what is a 322 00:19:55,280 --> 00:19:57,359 Speaker 1: myth with something people think is true you know to 323 00:19:57,480 --> 00:20:01,120 Speaker 1: be false? Okay. I didn't have a clear around this one. 324 00:20:01,200 --> 00:20:03,960 Speaker 1: But so after watching Tiger King, I was just like 325 00:20:04,040 --> 00:20:06,480 Speaker 1: horrified by like what they did to the animals. And 326 00:20:06,480 --> 00:20:09,200 Speaker 1: then my friend and I were talking about animals suicide 327 00:20:09,680 --> 00:20:12,000 Speaker 1: and there's like I'm looking at this BBC article and 328 00:20:12,000 --> 00:20:15,600 Speaker 1: there's like a whole like there's arguments to and from. 329 00:20:15,640 --> 00:20:19,360 Speaker 1: There are like animal psychologists, um, and it's been happening 330 00:20:19,400 --> 00:20:22,080 Speaker 1: since like second century a d. There was like a 331 00:20:22,119 --> 00:20:25,440 Speaker 1: Greek scholar that like wrote a whole book on this subject. 332 00:20:25,720 --> 00:20:27,840 Speaker 1: But basically, from what I can gather, it seems like 333 00:20:27,840 --> 00:20:32,600 Speaker 1: animal behavior changes in confinement, and so it seems like 334 00:20:32,720 --> 00:20:36,439 Speaker 1: animals who are like free may like sacrifice themselves for 335 00:20:36,480 --> 00:20:39,680 Speaker 1: their young or something, but they don't. But they don't 336 00:20:39,680 --> 00:20:42,399 Speaker 1: think of like a mother spider will like will like 337 00:20:42,560 --> 00:20:45,400 Speaker 1: let its young feet on her own body and stuff. 338 00:20:45,440 --> 00:20:47,280 Speaker 1: But like but it's not like they think of it 339 00:20:47,320 --> 00:20:50,840 Speaker 1: as like suicide, but it seems like in confinement, like 340 00:20:51,119 --> 00:20:54,000 Speaker 1: Orca whales and stuff like get hella depressed and like 341 00:20:54,040 --> 00:21:01,600 Speaker 1: their behavior changes, So like lemmings, it's like not suicide, yeah, 342 00:21:01,640 --> 00:21:04,080 Speaker 1: but like it seems like in Yeah, so in the 343 00:21:04,119 --> 00:21:07,119 Speaker 1: wild they just have these like interesting behaviors that people 344 00:21:07,320 --> 00:21:10,520 Speaker 1: sometimes think as suicide, but it's actually due to other reasons, 345 00:21:11,000 --> 00:21:14,120 Speaker 1: whereas like in in confinement it could be, it could be, 346 00:21:14,200 --> 00:21:16,200 Speaker 1: but they also they don't know if people like or 347 00:21:16,240 --> 00:21:19,800 Speaker 1: if animals think very far into the future or like 348 00:21:20,320 --> 00:21:22,440 Speaker 1: or if they're just acting out of like instinct to 349 00:21:22,720 --> 00:21:26,360 Speaker 1: save their own lives, you know. So that's that's just interesting. 350 00:21:26,560 --> 00:21:30,160 Speaker 1: I don't know. Yeah, a little like two minute thing 351 00:21:30,240 --> 00:21:35,960 Speaker 1: where Joe Exotic is talking about the two monkeys who 352 00:21:35,960 --> 00:21:38,880 Speaker 1: were kept like across from each other, That's exactly why, 353 00:21:39,840 --> 00:21:42,919 Speaker 1: and then like got into an enclosure together and just 354 00:21:43,000 --> 00:21:48,240 Speaker 1: were like hugging each other. Was so that's exactly why 355 00:21:48,280 --> 00:21:50,679 Speaker 1: I looked it up. It was that moment because that 356 00:21:50,800 --> 00:21:55,280 Speaker 1: was so like painful. Um, there was my friend Harper 357 00:21:55,359 --> 00:21:58,520 Speaker 1: who's been on the show before. I was telling Harper 358 00:21:58,600 --> 00:22:01,639 Speaker 1: Rose Drummond. She was telling me about how there was 359 00:22:01,680 --> 00:22:03,960 Speaker 1: like a chimp in a zoo who was like signing 360 00:22:04,000 --> 00:22:07,359 Speaker 1: to people and and there were people who were just 361 00:22:07,400 --> 00:22:09,280 Speaker 1: like watching them and like, oh, that's so cute. And 362 00:22:09,320 --> 00:22:12,680 Speaker 1: it happened for several days, and then someone who understood 363 00:22:12,720 --> 00:22:15,159 Speaker 1: American sign language saw that the chimp was saying that 364 00:22:15,200 --> 00:22:19,159 Speaker 1: one of the workers was abusing the chimp. And it 365 00:22:19,240 --> 00:22:21,000 Speaker 1: was like a mom who was like at the zoo 366 00:22:21,040 --> 00:22:23,520 Speaker 1: with her kids or whatever, and then she like went 367 00:22:23,560 --> 00:22:25,199 Speaker 1: and talked to the zoo people and they fired the 368 00:22:25,200 --> 00:22:27,800 Speaker 1: worker because it's like chimp was like someone saved me. 369 00:22:27,840 --> 00:22:30,439 Speaker 1: And everybody was like, look at those animals, what not 370 00:22:30,560 --> 00:22:36,320 Speaker 1: an idiot? And they were all dumb. Which one is trapped? 371 00:22:36,400 --> 00:22:42,240 Speaker 1: Which one's one? I know. I'm sorry. I've been like 372 00:22:42,280 --> 00:22:44,920 Speaker 1: obsessed with Tiger King, and I'm just furious with humans 373 00:22:45,000 --> 00:22:48,200 Speaker 1: right now. There was my favorite recent Tiger King, I 374 00:22:48,240 --> 00:22:49,960 Speaker 1: mean not my favorite, but just kind of like in 375 00:22:50,080 --> 00:22:53,080 Speaker 1: obvious news with Tiger King, there's like a whole Independent 376 00:22:53,240 --> 00:22:57,680 Speaker 1: article on just the director of Tiger King being like, yeah, 377 00:22:58,119 --> 00:23:01,520 Speaker 1: Joe Exotic is categorically racist, no doubt in my mind. 378 00:23:02,000 --> 00:23:04,320 Speaker 1: He said things every day that were horrible, and it 379 00:23:04,440 --> 00:23:06,720 Speaker 1: was like that that doesn't feel like it should be 380 00:23:06,720 --> 00:23:09,920 Speaker 1: a full story. Its it speaks for itself. But it 381 00:23:10,080 --> 00:23:14,960 Speaker 1: was a full story. Huh. Yeah, they're that those videos, 382 00:23:15,040 --> 00:23:18,720 Speaker 1: the like deleted scenes of him just saying openly racist 383 00:23:18,760 --> 00:23:22,520 Speaker 1: shit is horrible. Yeah, but they aren't deleted scenes. Aren't 384 00:23:22,520 --> 00:23:24,920 Speaker 1: they just from his TV show? I thought those were 385 00:23:24,960 --> 00:23:27,120 Speaker 1: just clips from his TV show? Yeah, I think they're 386 00:23:27,600 --> 00:23:30,280 Speaker 1: I guess deleted scenes from the documentary in the sense 387 00:23:30,280 --> 00:23:32,960 Speaker 1: that they didn't show it in the documentary. That's true 388 00:23:32,960 --> 00:23:35,000 Speaker 1: a lot of these docuseries. I think if you show 389 00:23:35,040 --> 00:23:37,800 Speaker 1: the full picture of who the person really is, like 390 00:23:38,359 --> 00:23:40,760 Speaker 1: it's like if you show like you, there's no white 391 00:23:40,760 --> 00:23:44,520 Speaker 1: people are going to have empathy for him. And so 392 00:23:44,720 --> 00:23:51,320 Speaker 1: that seems like exactly. Documentary filmmaking is some of the 393 00:23:51,359 --> 00:23:56,840 Speaker 1: most manipulative ship Like, yeah, finding Sugarman is the thing 394 00:23:56,880 --> 00:23:59,760 Speaker 1: that always jumps out to me that they like go 395 00:24:00,040 --> 00:24:03,440 Speaker 1: and find him and make it seem like he had 396 00:24:03,480 --> 00:24:06,639 Speaker 1: no idea he was popular. Any of his recordings have 397 00:24:06,760 --> 00:24:09,800 Speaker 1: been popular, and it was like, no, he had had 398 00:24:09,840 --> 00:24:13,400 Speaker 1: the exact same thing happened to him in I think 399 00:24:13,440 --> 00:24:16,880 Speaker 1: it was Australia. He was like huge in Australia already, 400 00:24:17,480 --> 00:24:19,200 Speaker 1: but they made it seem like he was like this 401 00:24:19,240 --> 00:24:23,800 Speaker 1: obscure person, uh who had no idea anyone listened to 402 00:24:23,800 --> 00:24:26,359 Speaker 1: his music. I think the hardest part of like doing 403 00:24:26,359 --> 00:24:28,560 Speaker 1: a documentary like that, or like being the person who 404 00:24:28,600 --> 00:24:31,719 Speaker 1: like interviews everybody and is like filming everything, is like, 405 00:24:31,800 --> 00:24:34,919 Speaker 1: how would you remove yourself from like this animal abuse 406 00:24:34,920 --> 00:24:37,320 Speaker 1: it's like happening right Like it would be so hard 407 00:24:37,359 --> 00:24:40,480 Speaker 1: for me to like not try to intervene. But I mean, 408 00:24:40,480 --> 00:24:43,720 Speaker 1: obviously it's making bigger waves right now because Jeff Low's 409 00:24:43,720 --> 00:24:46,760 Speaker 1: thing got rated or whatever as a result. But it's 410 00:24:46,800 --> 00:24:49,240 Speaker 1: just crazy, like it would it would take so much 411 00:24:49,840 --> 00:24:52,240 Speaker 1: to like hold myself back. I was so mad the 412 00:24:52,240 --> 00:24:55,320 Speaker 1: whole time. The docuseries that stands out to me is 413 00:24:55,359 --> 00:24:59,840 Speaker 1: the clearest like manipulative shaping of this story is in 414 00:25:00,040 --> 00:25:02,679 Speaker 1: the jinks. I think that they kind of like shape 415 00:25:02,720 --> 00:25:05,199 Speaker 1: the story to make you think that Robert Durst is 416 00:25:05,280 --> 00:25:10,119 Speaker 1: actually guilty, and I like, I think it's super clear 417 00:25:10,160 --> 00:25:12,600 Speaker 1: that if you look at all the evidence, he didn't 418 00:25:12,720 --> 00:25:19,919 Speaker 1: kill anybody. Really, yeah, he didn't kill anybody. Well, he 419 00:25:20,040 --> 00:25:24,800 Speaker 1: dismembered someone in self defense, but that's I knew. I 420 00:25:24,920 --> 00:25:28,480 Speaker 1: was like, there's no way. What about the Beverly Hills 421 00:25:28,640 --> 00:25:33,760 Speaker 1: handwriting thing that was manipulated, that was photo shot, that 422 00:25:33,840 --> 00:25:39,240 Speaker 1: was back on her dis ship. That was Actually it's 423 00:25:39,320 --> 00:25:43,159 Speaker 1: unconscionable what they did. Okay, but how do you do? 424 00:25:43,320 --> 00:25:45,600 Speaker 1: What do you feel about the crimes of Fred Durst? 425 00:25:45,680 --> 00:25:49,320 Speaker 1: Though the worst thing he ever did was start a 426 00:25:49,320 --> 00:25:53,480 Speaker 1: cute little jazz club. I mean, well, look, give Fred 427 00:25:53,560 --> 00:25:55,560 Speaker 1: Durst a break, because it's all about that. He said. 428 00:25:55,680 --> 00:26:01,080 Speaker 1: She said, bullshit. He guys really thought, I mean it 429 00:26:01,160 --> 00:26:04,080 Speaker 1: for a second. That's fun. Uh, I don't know on that. 430 00:26:04,119 --> 00:26:17,040 Speaker 1: We're gonna take a quick break and we're back. And 431 00:26:17,200 --> 00:26:22,080 Speaker 1: there is a New York Times map that was published 432 00:26:22,119 --> 00:26:26,640 Speaker 1: showing when people stopped traveling more than two miles. Yeah, 433 00:26:27,080 --> 00:26:29,760 Speaker 1: you know, I think right now everyone's kind of concerned 434 00:26:29,840 --> 00:26:32,960 Speaker 1: with what states might be doing or not doing to 435 00:26:33,119 --> 00:26:36,080 Speaker 1: sort of contain or limit the spread flattened curve, whatever 436 00:26:36,240 --> 00:26:39,320 Speaker 1: terminology you want to use. And the New York Times 437 00:26:39,400 --> 00:26:42,439 Speaker 1: use this map of like using cell phone data to 438 00:26:42,520 --> 00:26:46,080 Speaker 1: basically track people's movements and see that, especially in the 439 00:26:46,119 --> 00:26:49,480 Speaker 1: South Southeast, there's a lot of people still traveling more 440 00:26:49,560 --> 00:26:52,240 Speaker 1: than two miles. So they were sort of using this like, Okay, 441 00:26:52,280 --> 00:26:55,119 Speaker 1: who's actually taking this stay at home order? Seriously? Was 442 00:26:55,200 --> 00:26:58,960 Speaker 1: sort of the headline of the the article was where 443 00:26:58,960 --> 00:27:02,560 Speaker 1: America didn't day home even as the virus spread, And 444 00:27:02,600 --> 00:27:04,880 Speaker 1: it kind of looks like, oh, look, it's it's these 445 00:27:05,280 --> 00:27:07,520 Speaker 1: seemingly read states in the South or whatever. And I 446 00:27:07,560 --> 00:27:09,520 Speaker 1: think a lot of people are like, sure, a steady 447 00:27:09,600 --> 00:27:12,800 Speaker 1: diet of Fox News, uh and bad leadership from the 448 00:27:12,880 --> 00:27:16,000 Speaker 1: governor's mansion will lead to people still traveling for a 449 00:27:16,000 --> 00:27:20,480 Speaker 1: long time. But it's it's a little incomplete to sort 450 00:27:20,480 --> 00:27:22,000 Speaker 1: of just look at it like that, because if you 451 00:27:22,119 --> 00:27:24,000 Speaker 1: juxtapose it. There a few people on Twitter who like 452 00:27:24,320 --> 00:27:27,320 Speaker 1: took issue with this article because they also showed where uh, 453 00:27:28,000 --> 00:27:31,240 Speaker 1: like the highest concentrations are people with without a car 454 00:27:31,400 --> 00:27:34,679 Speaker 1: or supermarket within a mile r And it's sort of 455 00:27:34,720 --> 00:27:38,239 Speaker 1: maps directly on top or nearly not like exactly, but 456 00:27:38,480 --> 00:27:42,200 Speaker 1: very there's significant overlap between those two like hot zones. Um. 457 00:27:42,280 --> 00:27:45,440 Speaker 1: So there's also a question of like what people's access 458 00:27:45,480 --> 00:27:48,160 Speaker 1: are to get to these places or you know, like 459 00:27:48,280 --> 00:27:51,120 Speaker 1: how they're able to get their own goods or get 460 00:27:51,119 --> 00:27:54,080 Speaker 1: to services and things like that. Um. But yeah, just 461 00:27:54,119 --> 00:27:56,000 Speaker 1: an interesting map to look at because I think on 462 00:27:56,000 --> 00:27:58,800 Speaker 1: one hand, we're all very much like looking at Governor 463 00:27:58,920 --> 00:28:01,960 Speaker 1: Kemp like in Georgia say stuff like, oh, I had 464 00:28:02,000 --> 00:28:04,639 Speaker 1: no idea people could be asymptomatic and spread it like 465 00:28:04,760 --> 00:28:08,920 Speaker 1: saying that fucking on Wednesday when everyone has been talking 466 00:28:08,960 --> 00:28:11,560 Speaker 1: about this, uh, and then looking at maps like this 467 00:28:11,640 --> 00:28:13,560 Speaker 1: and just being like, what the funk are they doing? 468 00:28:14,359 --> 00:28:17,359 Speaker 1: I mean, I wouldn't expect any like person who has 469 00:28:17,359 --> 00:28:20,359 Speaker 1: treated abortion the way they have to understand anything signed, 470 00:28:21,840 --> 00:28:25,240 Speaker 1: you know what I mean, like not now, but well yeah, 471 00:28:25,280 --> 00:28:27,000 Speaker 1: and a lot of governors are using this as a 472 00:28:27,000 --> 00:28:30,879 Speaker 1: way to sort of do their backdoor version of uh, 473 00:28:30,920 --> 00:28:33,880 Speaker 1: completely repealing Roe v. Wade by saying like, oh, abortion 474 00:28:33,960 --> 00:28:35,960 Speaker 1: is actually a non essential medical service. So actually that's 475 00:28:35,960 --> 00:28:37,440 Speaker 1: why we can't have any right now because of the 476 00:28:37,480 --> 00:28:40,400 Speaker 1: core so actually ended right now that's been like just 477 00:28:40,560 --> 00:28:42,560 Speaker 1: held back. I mean, did it has it actually gone 478 00:28:42,560 --> 00:28:44,560 Speaker 1: through anywhere? I think I don't know that it's actually 479 00:28:44,640 --> 00:28:47,840 Speaker 1: gone through, But people are fucking they're all they're trying. 480 00:28:48,200 --> 00:28:50,680 Speaker 1: McConnell tried to sneak that into one of the bills 481 00:28:50,680 --> 00:28:53,280 Speaker 1: passed for like the stimulus package or something. Right. He 482 00:28:53,360 --> 00:28:57,680 Speaker 1: tried to like add abortion restrictions He's like, okay, for everyone, 483 00:28:57,840 --> 00:29:00,640 Speaker 1: you can't get abortions. Okay, that sound good. Good. Everybody 484 00:29:00,960 --> 00:29:02,920 Speaker 1: like was okay, okay, we're also going to take away 485 00:29:02,920 --> 00:29:05,840 Speaker 1: your rights. Okay, sound good? Okay great. Oh that's so, 486 00:29:06,240 --> 00:29:11,760 Speaker 1: I mean not surprising. I These New York Times maps 487 00:29:11,920 --> 00:29:15,920 Speaker 1: um give me severe anxiety. I think that's what they're 488 00:29:15,920 --> 00:29:19,080 Speaker 1: supposed to do. I know, I hate that. I mean. 489 00:29:19,120 --> 00:29:21,680 Speaker 1: The one thing, one positive thing I've even read in 490 00:29:21,800 --> 00:29:24,960 Speaker 1: terms of like the spread being flattened or the curve 491 00:29:25,040 --> 00:29:27,400 Speaker 1: being flattened, was like, you know, the states that took 492 00:29:27,400 --> 00:29:30,680 Speaker 1: the most aggressive action early on, like in Washington and 493 00:29:30,760 --> 00:29:35,640 Speaker 1: California at places like that have seen better outcomes or 494 00:29:35,680 --> 00:29:39,080 Speaker 1: they're seeing better outcomes than other places based on just 495 00:29:39,120 --> 00:29:41,320 Speaker 1: a matter of a few days of not putting a 496 00:29:41,320 --> 00:29:44,560 Speaker 1: shelter in place order. So I mean, hopefully this can 497 00:29:44,600 --> 00:29:49,200 Speaker 1: inspire other municipalities to fully, you know, shut ship down. 498 00:29:49,560 --> 00:29:52,600 Speaker 1: There was an l A Times article that showed like 499 00:29:52,680 --> 00:29:56,920 Speaker 1: the trajectory um between states, right, and how l A 500 00:29:57,080 --> 00:29:59,760 Speaker 1: has in California in general, like you were saying, as 501 00:29:59,800 --> 00:30:02,880 Speaker 1: kind of like veered lower, uh than like New York, 502 00:30:03,320 --> 00:30:05,880 Speaker 1: and so it's like we've kind of found a way 503 00:30:05,880 --> 00:30:08,560 Speaker 1: to isolate better. But I think that's like inherent in 504 00:30:08,600 --> 00:30:11,360 Speaker 1: all the reasons that we people generally don't like l 505 00:30:11,400 --> 00:30:13,440 Speaker 1: A is that everything is so spread out, we're also 506 00:30:13,520 --> 00:30:17,240 Speaker 1: isolated it. But now it's like way better for survival. 507 00:30:17,800 --> 00:30:20,040 Speaker 1: Um because with New York, like everybody's all on top 508 00:30:20,080 --> 00:30:22,040 Speaker 1: of each other and like the subways and everything are 509 00:30:22,080 --> 00:30:25,080 Speaker 1: always packed. Um. But yeah, it showed. Yeah, it showed 510 00:30:25,080 --> 00:30:28,280 Speaker 1: the trajectory. And it seems like hopeful here at would 511 00:30:28,320 --> 00:30:31,360 Speaker 1: have thought totally thought our total lack of connection and 512 00:30:31,400 --> 00:30:34,000 Speaker 1: empathy for each other, by being close to our neighbors 513 00:30:34,040 --> 00:30:36,840 Speaker 1: would have led had this benefit of being like, wait 514 00:30:36,840 --> 00:30:39,280 Speaker 1: for me, I'm saying inside my house, and that's kind 515 00:30:39,280 --> 00:30:42,120 Speaker 1: of where things are. I think also the rain helped 516 00:30:42,160 --> 00:30:44,640 Speaker 1: too those first two weeks, because on top of it, 517 00:30:44,680 --> 00:30:47,880 Speaker 1: the weather was not It felt like we were stuck 518 00:30:47,920 --> 00:30:51,440 Speaker 1: inside and things were bad outside. Yeah, that's interesting. I've 519 00:30:51,480 --> 00:30:54,760 Speaker 1: been worrying a lot about my New York friends just 520 00:30:54,960 --> 00:30:57,360 Speaker 1: I mean, yeah, because it's so it's so importantly you 521 00:30:57,400 --> 00:30:59,680 Speaker 1: can't not be on top of each other in New York, 522 00:31:00,240 --> 00:31:02,320 Speaker 1: and it is so hard to get access to basic 523 00:31:02,360 --> 00:31:05,080 Speaker 1: stuff without being on top of each other. Where here, 524 00:31:05,120 --> 00:31:06,600 Speaker 1: it's like, at least you have a little bit of 525 00:31:06,720 --> 00:31:09,080 Speaker 1: you can you can conceivably stay six feet away from 526 00:31:09,120 --> 00:31:14,160 Speaker 1: people where there it just sounds completely fucking impossible, right, um, 527 00:31:14,200 --> 00:31:17,840 Speaker 1: I mean so uh kind of going in that same direction, 528 00:31:18,440 --> 00:31:22,560 Speaker 1: the US head over a thousand deaths, uh, just on 529 00:31:22,600 --> 00:31:25,400 Speaker 1: Wednesday alone. It seems like the phase we're in is 530 00:31:25,480 --> 00:31:29,080 Speaker 1: New York is continuing to trend upwards, and a lot 531 00:31:29,080 --> 00:31:32,400 Speaker 1: of the cities around the country are starting to, like Detroit, 532 00:31:32,560 --> 00:31:35,959 Speaker 1: New Orleans are starting to show the same trajectory as 533 00:31:36,000 --> 00:31:41,479 Speaker 1: New York. And there's just some really devastating charts about 534 00:31:41,560 --> 00:31:46,920 Speaker 1: like the trajectory that we're on in general with coronavirus infections. 535 00:31:46,960 --> 00:31:50,200 Speaker 1: But I mean, infections is a statistic that can be 536 00:31:50,320 --> 00:31:53,880 Speaker 1: misleading for all sorts of different reasons. But deaths, I 537 00:31:53,920 --> 00:31:56,560 Speaker 1: mean that that is the thing that you can't escape 538 00:31:56,600 --> 00:31:59,480 Speaker 1: if people are dying of coronavirus at a record rate, 539 00:31:59,640 --> 00:32:04,840 Speaker 1: and the country than uh things the plane has crashed 540 00:32:04,840 --> 00:32:08,000 Speaker 1: into the mountain like things are. And and the other 541 00:32:08,040 --> 00:32:10,560 Speaker 1: thing that I just want to emphasize is that even 542 00:32:10,560 --> 00:32:13,960 Speaker 1: though New Yorkers are on top of each other, I 543 00:32:14,040 --> 00:32:17,520 Speaker 1: was googling this morning, you know, New York has twenty 544 00:32:17,560 --> 00:32:21,480 Speaker 1: seven thousand people per square mile. Soul Korea has forty 545 00:32:21,520 --> 00:32:25,160 Speaker 1: five thousand people per square mile and have managed to 546 00:32:25,960 --> 00:32:30,440 Speaker 1: you know, through their government stepping in and getting early testing. Germany, 547 00:32:30,440 --> 00:32:34,720 Speaker 1: you're seeing the same thing there, nailing this by getting 548 00:32:34,920 --> 00:32:38,959 Speaker 1: people tested, got people tested like right away, and the 549 00:32:39,000 --> 00:32:44,200 Speaker 1: importance of testing just like can't be overstated. So that's 550 00:32:44,240 --> 00:32:47,640 Speaker 1: where we're at, or where we were at as of Wednesday, 551 00:32:47,640 --> 00:32:51,720 Speaker 1: and hopefully we get better news soon. Weren't there estimates 552 00:32:51,760 --> 00:32:55,240 Speaker 1: that like sixteen thousand New Yorkers might pass from this 553 00:32:55,520 --> 00:33:00,360 Speaker 1: based on the trajectory right now? Yeah, a lot of 554 00:33:00,400 --> 00:33:03,320 Speaker 1: the I mean, I think Cuomo said Thursday like that 555 00:33:03,960 --> 00:33:07,000 Speaker 1: they have with the rate things are going though, maybe 556 00:33:07,040 --> 00:33:11,240 Speaker 1: they'll probably run out of ventilators in six days without 557 00:33:11,360 --> 00:33:14,920 Speaker 1: some kind of massive intervention. I'm so mad at Cuomo 558 00:33:15,080 --> 00:33:18,200 Speaker 1: because of the you know how he created like hand 559 00:33:18,240 --> 00:33:21,239 Speaker 1: sanitizer out of prison labor and now rikers is like 560 00:33:21,360 --> 00:33:23,600 Speaker 1: fully ignored in the rate of infection there is like 561 00:33:23,680 --> 00:33:27,200 Speaker 1: seven times that of the normal population. And I saw 562 00:33:27,240 --> 00:33:30,160 Speaker 1: this like Twitter thread from this lady who had gotten 563 00:33:30,160 --> 00:33:32,600 Speaker 1: a lot of phone calls from prisoners who were telling 564 00:33:32,600 --> 00:33:35,480 Speaker 1: her about the awful conditions and she said that there 565 00:33:35,600 --> 00:33:37,920 Speaker 1: was like the hand center, there was no hand sanitizer 566 00:33:37,920 --> 00:33:39,760 Speaker 1: because they're not allowed to have it. They took away 567 00:33:39,840 --> 00:33:43,160 Speaker 1: cleaning supplies and soap. The staff is like refusing to clean. 568 00:33:43,200 --> 00:33:45,120 Speaker 1: This is from a Twitter thread, so I'm not sure, 569 00:33:45,760 --> 00:33:47,760 Speaker 1: but I was trying to double check for articles, and 570 00:33:47,800 --> 00:33:50,800 Speaker 1: there haven't been articles about rikers in like ten days, 571 00:33:51,280 --> 00:33:53,680 Speaker 1: and I'm just like, what is happening in there? Like 572 00:33:54,080 --> 00:33:56,960 Speaker 1: are they even counting those people as being part of 573 00:33:57,040 --> 00:34:00,840 Speaker 1: the population, you know, Like, yeah, Woma is getting I 574 00:34:00,840 --> 00:34:02,960 Speaker 1: feel like he's almost getting the same kind of bump 575 00:34:03,040 --> 00:34:06,080 Speaker 1: that Giuliani got during that woven right now, where he's 576 00:34:06,120 --> 00:34:10,759 Speaker 1: like doing things, but like the bare minimum things he's doing. 577 00:34:10,920 --> 00:34:12,920 Speaker 1: And I feel like people are not used to seeing 578 00:34:13,120 --> 00:34:16,480 Speaker 1: public officials stepping up in any way, shape or form ever, 579 00:34:16,880 --> 00:34:19,640 Speaker 1: So when someone even remotely does it and then either 580 00:34:19,760 --> 00:34:23,160 Speaker 1: is wearing suspenders or has nipple nipple piercings, were like, yes, okay, 581 00:34:23,320 --> 00:34:26,400 Speaker 1: you know, but but it's like, yeah, he still has 582 00:34:26,440 --> 00:34:30,280 Speaker 1: a ship track record. He's like rolled back back Medicare 583 00:34:30,320 --> 00:34:34,040 Speaker 1: ship in New York. He's making prisoners work like slaves, 584 00:34:34,080 --> 00:34:37,600 Speaker 1: like it's it's you know, he um. There was like 585 00:34:37,600 --> 00:34:40,080 Speaker 1: a bail reform thing in January that he rejects, or 586 00:34:40,160 --> 00:34:42,440 Speaker 1: some like prison reform thing in January that he rejected 587 00:34:42,440 --> 00:34:44,000 Speaker 1: that caused more of them to be in there in 588 00:34:44,000 --> 00:34:46,320 Speaker 1: the first place, and then he and then he utilized 589 00:34:46,320 --> 00:34:48,880 Speaker 1: their labor. I think de Blasio let out like a 590 00:34:48,920 --> 00:34:51,360 Speaker 1: couple of hundred or like some small amount of people 591 00:34:51,400 --> 00:34:53,680 Speaker 1: who were most at risk or they were trying to 592 00:34:53,760 --> 00:34:57,400 Speaker 1: let them out. But like the conditions in there are terrible. Yeah, 593 00:34:57,520 --> 00:35:00,040 Speaker 1: it's really bad. Like he's i mean, just everyone a 594 00:35:00,080 --> 00:35:03,279 Speaker 1: slower role on on the Cuomo memes. He's not he's 595 00:35:03,320 --> 00:35:06,319 Speaker 1: not the hero that but he but he's I mean, 596 00:35:06,360 --> 00:35:08,919 Speaker 1: he's doing a thing, which is why it was only Yeah, 597 00:35:08,920 --> 00:35:11,240 Speaker 1: it was only a few months or just a while 598 00:35:11,280 --> 00:35:15,040 Speaker 1: back when people were like Cynthia Nixon destroyed Cuomo in 599 00:35:15,080 --> 00:35:20,719 Speaker 1: the election. Please this guy fucking sucks. But you know, yeah, 600 00:35:20,760 --> 00:35:23,200 Speaker 1: I think people, I think there's something natural where people 601 00:35:23,280 --> 00:35:27,480 Speaker 1: need somebody to rally around. Like we're seeing, uh, you know, 602 00:35:27,520 --> 00:35:33,239 Speaker 1: approval ratings for leaders around the world surge while this 603 00:35:33,320 --> 00:35:37,400 Speaker 1: is happening. Uh, And it happened to Trump even when 604 00:35:37,440 --> 00:35:41,120 Speaker 1: he you know, he is fucking this up beyond what 605 00:35:41,239 --> 00:35:45,239 Speaker 1: any modern day politician has ever sucked something up in 606 00:35:45,280 --> 00:35:49,600 Speaker 1: the developed world, but his supporters are they need to 607 00:35:49,880 --> 00:35:53,160 Speaker 1: rally around the flag. And I think the CUOMO gives 608 00:35:53,640 --> 00:35:58,520 Speaker 1: people who aren't Trump supporters somebody to rally around, right, 609 00:35:58,560 --> 00:36:00,520 Speaker 1: I mean, it's like I get it, but yeah, just 610 00:36:00,560 --> 00:36:03,440 Speaker 1: like well, I think you know, it's all relative. You know, 611 00:36:03,680 --> 00:36:06,720 Speaker 1: just like for a while people were longing for George 612 00:36:06,760 --> 00:36:10,560 Speaker 1: Bush too uh to come back. They're like, well, I mean, 613 00:36:10,600 --> 00:36:12,560 Speaker 1: at least Bush two was better than Trump. You like, 614 00:36:12,560 --> 00:36:15,839 Speaker 1: hold the funk up. No, Like Bush too fucked an 615 00:36:16,000 --> 00:36:18,759 Speaker 1: entire region of Earth, yea. And I think that's where 616 00:36:19,040 --> 00:36:21,719 Speaker 1: And I think it's natural to like Jack saying, like, 617 00:36:22,320 --> 00:36:26,759 Speaker 1: you want to feel like someone is not completely fucking up, 618 00:36:26,880 --> 00:36:30,320 Speaker 1: and if you're not completely fucking up, that's the little 619 00:36:30,360 --> 00:36:32,680 Speaker 1: bit of the ray of light that helps. I think 620 00:36:32,680 --> 00:36:38,200 Speaker 1: people feel a little bit optimistic. It's all about tone, right, Yeah. 621 00:36:39,120 --> 00:36:45,319 Speaker 1: America has just generally turned into one big version of 622 00:36:46,120 --> 00:36:52,719 Speaker 1: Burbs the burbs slash rear windows slash Takashi six nine, 623 00:36:52,760 --> 00:36:57,319 Speaker 1: where everybody's snitching. Everybody's just kind of staying in their house, 624 00:36:57,400 --> 00:37:01,160 Speaker 1: looking at their neighbors, just waiting for somebody to funk up. 625 00:37:01,440 --> 00:37:04,719 Speaker 1: And you know, in some cases it's doing some good. 626 00:37:05,320 --> 00:37:09,680 Speaker 1: People who are telling officials about businesses that we're staying 627 00:37:09,680 --> 00:37:14,399 Speaker 1: open are actually getting those businesses shut down, that we're 628 00:37:14,440 --> 00:37:19,520 Speaker 1: probably not being very responsible. Some yoga studios who were 629 00:37:19,560 --> 00:37:24,880 Speaker 1: like we're fully necessary right shut down the ya essential 630 00:37:24,920 --> 00:37:28,080 Speaker 1: health shut them down? Can I I was? I was 631 00:37:28,200 --> 00:37:31,480 Speaker 1: this for comedy. I was like dm ng people for weeks, 632 00:37:31,520 --> 00:37:35,279 Speaker 1: telling them to stop performing, and people like right right 633 00:37:35,320 --> 00:37:38,120 Speaker 1: before or like right around the actual like way too 634 00:37:38,160 --> 00:37:40,600 Speaker 1: long into it well, and everybody had stayed in. There 635 00:37:40,600 --> 00:37:43,200 Speaker 1: were people like we're the were the rebels of comedy, 636 00:37:43,280 --> 00:37:46,080 Speaker 1: like funk this coronavirus thing. I'm like, it's not the man, 637 00:37:46,360 --> 00:37:50,280 Speaker 1: Like what are you doing? And so I was deeming 638 00:37:50,360 --> 00:37:52,839 Speaker 1: people and I was like leaning on my education, being 639 00:37:52,880 --> 00:37:55,920 Speaker 1: like do you respect my degrees? You know, just like 640 00:37:55,960 --> 00:37:58,799 Speaker 1: this a leadership or whatever. I was like, whatever I 641 00:37:58,840 --> 00:38:00,520 Speaker 1: have to do to get you to listen to me, 642 00:38:00,840 --> 00:38:02,760 Speaker 1: and like some of them, some of them did listen 643 00:38:02,760 --> 00:38:04,799 Speaker 1: and it did help, but some of them like left 644 00:38:04,840 --> 00:38:07,120 Speaker 1: me on red or like blocked me or like did 645 00:38:07,120 --> 00:38:10,960 Speaker 1: all this other stuff. I fucking lit up one of 646 00:38:10,960 --> 00:38:13,480 Speaker 1: these guys on my Instagram because he blocked me and 647 00:38:13,480 --> 00:38:16,480 Speaker 1: I'm like, you're an idiot and you're not funny, Like 648 00:38:16,520 --> 00:38:20,680 Speaker 1: why are you doing dude, the least the least funny 649 00:38:20,719 --> 00:38:23,319 Speaker 1: people kept performing. I'm like, it's not going to make 650 00:38:23,320 --> 00:38:26,080 Speaker 1: you because they could get booked all of a sudden, 651 00:38:26,080 --> 00:38:29,960 Speaker 1: because yeah, people were they were like they were like, 652 00:38:30,000 --> 00:38:32,200 Speaker 1: I gotta perform at this thing the other week, and 653 00:38:32,200 --> 00:38:34,280 Speaker 1: it's like, yeah, why do you think you got to perform? 654 00:38:34,360 --> 00:38:38,560 Speaker 1: Their people were still doing open mics. I'm like, why 655 00:38:38,600 --> 00:38:41,680 Speaker 1: are you paying? Why are you paying to get infected? 656 00:38:41,880 --> 00:38:44,960 Speaker 1: Like I don't understand. I'll put one place, I'll put 657 00:38:44,960 --> 00:38:50,759 Speaker 1: one place on the blast Flappers stayed open for so long. Yeah, 658 00:38:50,800 --> 00:38:54,880 Speaker 1: the most cursed venue in all of Burbank stayed stayed 659 00:38:54,920 --> 00:38:57,280 Speaker 1: open for so long. And the reason that they closed, 660 00:38:57,320 --> 00:39:00,320 Speaker 1: if if rumors are to be believed, was the has 661 00:39:00,320 --> 00:39:02,560 Speaker 1: like people like burst in in the middle of a 662 00:39:02,600 --> 00:39:05,239 Speaker 1: show and like shut the place down. But it had 663 00:39:05,280 --> 00:39:06,879 Speaker 1: to do with the fact that like ship was leaking 664 00:39:06,880 --> 00:39:08,480 Speaker 1: out of the pipes or something. And what didn't even 665 00:39:08,480 --> 00:39:12,919 Speaker 1: have to hear that. It's funny to hear how many 666 00:39:12,920 --> 00:39:15,920 Speaker 1: people are like stuck in that mentality with coronavirus, Like 667 00:39:16,000 --> 00:39:18,920 Speaker 1: there it's not a virus. It's like they're fucking Stepdad 668 00:39:19,040 --> 00:39:22,520 Speaker 1: telling them Paul, like, what the funk are you talking about? 669 00:39:22,160 --> 00:39:25,400 Speaker 1: You know that brou If you're not hanging out at 670 00:39:25,440 --> 00:39:30,040 Speaker 1: the seller right now, you don't really care. It's that grind, 671 00:39:30,160 --> 00:39:32,279 Speaker 1: you know. You gotta go to Mike's and shows and 672 00:39:32,360 --> 00:39:35,160 Speaker 1: the hospital. You gotta grind like you're not doing. I 673 00:39:35,200 --> 00:39:37,800 Speaker 1: do have to give you this quote from a yoga 674 00:39:37,840 --> 00:39:41,440 Speaker 1: instructor who was shut down. She said, if we were 675 00:39:41,520 --> 00:39:44,960 Speaker 1: naughty with the government's order, then we're very very sorry. 676 00:39:45,360 --> 00:39:47,760 Speaker 1: We're not here to cause problems. We're here to practice 677 00:39:47,800 --> 00:39:51,640 Speaker 1: our poses. Just like that. There's all sorts of ways 678 00:39:51,680 --> 00:39:55,719 Speaker 1: to sublimate, like the fact that you're completely fucking but 679 00:39:56,280 --> 00:40:01,759 Speaker 1: also the one thing that is so easy out of 680 00:40:01,800 --> 00:40:05,200 Speaker 1: every all of these entertainment things or exercise things, yoga 681 00:40:05,360 --> 00:40:08,719 Speaker 1: is the easiest thing to do at home, Like so 682 00:40:08,840 --> 00:40:12,960 Speaker 1: many people are doing it. Yeah, it's weird. There's was 683 00:40:13,000 --> 00:40:15,759 Speaker 1: it um And I sent this to us the other night. 684 00:40:15,960 --> 00:40:19,040 Speaker 1: There was like a Governor Knewsome quote where he was like, 685 00:40:19,719 --> 00:40:23,080 Speaker 1: in some cases, snitches get stitches, but in this case, 686 00:40:23,239 --> 00:40:28,520 Speaker 1: snitches get rewards, and you're just like the people out 687 00:40:29,000 --> 00:40:37,320 Speaker 1: It feels riches, but he obviously couldn't rewards like okay, 688 00:40:37,680 --> 00:40:42,719 Speaker 1: mayor Garcet, Mr Garcetti himself. I just love, you know, 689 00:40:42,840 --> 00:40:46,040 Speaker 1: people getting angry at each other for not doing right 690 00:40:46,040 --> 00:40:48,960 Speaker 1: by science. It's nice to see that sort of like 691 00:40:49,200 --> 00:40:52,000 Speaker 1: sort of, I mean, I think it manifests in different ways. 692 00:40:52,000 --> 00:40:53,800 Speaker 1: I think some people just need someone to get angry 693 00:40:53,800 --> 00:40:55,839 Speaker 1: at and a stressful time. I think other people are 694 00:40:56,000 --> 00:40:59,000 Speaker 1: deeply concerned and really look and think of like what 695 00:40:59,040 --> 00:41:03,320 Speaker 1: the ramifications are. But it's heartening. Yeah, just be honest 696 00:41:03,360 --> 00:41:09,960 Speaker 1: with yourself in terms of essential work, like when it also, 697 00:41:10,040 --> 00:41:12,120 Speaker 1: you know, I gotta give points to the owner of 698 00:41:12,160 --> 00:41:14,200 Speaker 1: that yoga studio who's like, okay, like if we were 699 00:41:14,200 --> 00:41:18,880 Speaker 1: being a little naughty, okay and possibly exacerbating a pandemic, 700 00:41:19,000 --> 00:41:22,120 Speaker 1: saw we It's like, what, like how Kelly Leffler, Kelly 701 00:41:22,200 --> 00:41:25,240 Speaker 1: Leffler is going to explain all her fucking additional stock sales. 702 00:41:25,280 --> 00:41:27,760 Speaker 1: We just found out about that she was selling something 703 00:41:28,280 --> 00:41:31,560 Speaker 1: north of fifteen million dollars worth of stock before the pandemic, 704 00:41:31,600 --> 00:41:33,799 Speaker 1: not just a couple million. And she's like, oh, if 705 00:41:33,960 --> 00:41:37,680 Speaker 1: if we were a widow naughty, So that's the that's 706 00:41:37,680 --> 00:41:42,359 Speaker 1: the Jessica love is blind voice. And it's also I mean, 707 00:41:42,520 --> 00:41:46,240 Speaker 1: I don't know understand like especially when it's a small 708 00:41:46,280 --> 00:41:48,920 Speaker 1: small business. I mean I don't I don't feel anyway 709 00:41:48,960 --> 00:41:51,440 Speaker 1: about the yoga studio, but when it's a small small business, 710 00:41:51,440 --> 00:41:56,760 Speaker 1: I get where the temptation comes from. Um, but protect 711 00:41:56,800 --> 00:41:59,279 Speaker 1: to protect the people, man, Well, yeah, and I think 712 00:41:59,320 --> 00:42:02,600 Speaker 1: that's why it's I think when people's outrage just sort 713 00:42:02,600 --> 00:42:05,359 Speaker 1: of stops at why are you open, you've got to 714 00:42:05,440 --> 00:42:09,680 Speaker 1: actually keep going upward because it's not just they're open 715 00:42:09,800 --> 00:42:12,920 Speaker 1: because they have a mortgage or a rent that they 716 00:42:12,960 --> 00:42:15,160 Speaker 1: pay on the studio, and if they don't have the money, 717 00:42:15,200 --> 00:42:17,960 Speaker 1: then their dream is over and the person that they 718 00:42:18,000 --> 00:42:20,000 Speaker 1: pay is also So we need to keep looking up 719 00:42:20,040 --> 00:42:24,680 Speaker 1: and be like, Okay, who is the person who? Yeah? Yeah, 720 00:42:25,320 --> 00:42:29,840 Speaker 1: Because the Flappers industrial complex, Mary Garcetti's is now ordering 721 00:42:29,880 --> 00:42:33,640 Speaker 1: people to start wearing cloth masks out if they have 722 00:42:33,800 --> 00:42:37,560 Speaker 1: to be out, if you're doing your like weekly grocery 723 00:42:37,719 --> 00:42:41,640 Speaker 1: trip or you know whatever it is. Keep the end 724 00:42:42,400 --> 00:42:47,160 Speaker 1: masks for the healthcare workers and healthcare providers. But you know, 725 00:42:47,360 --> 00:42:52,200 Speaker 1: cloth masks are being recommended now. Yeah, I'm I'm speaking 726 00:42:52,239 --> 00:42:55,160 Speaker 1: through a cloth mask right now. Actually, yeah, I just 727 00:42:55,200 --> 00:42:58,400 Speaker 1: put mine on very hard to breathe through. It's actually 728 00:42:58,400 --> 00:43:03,120 Speaker 1: mostly for for biking, like exercising and smoggy. He's like, 729 00:43:03,200 --> 00:43:05,360 Speaker 1: this is more for like one exercise in l A 730 00:43:05,400 --> 00:43:09,719 Speaker 1: where this fucking respirator. I've I've been like using a bandana, 731 00:43:09,800 --> 00:43:11,200 Speaker 1: but I think I'm going to try to make one. 732 00:43:11,280 --> 00:43:13,360 Speaker 1: There's a ton of there's a ton of fun patterns 733 00:43:13,400 --> 00:43:16,600 Speaker 1: out there right now. Yeah, yeah, I think. I mean Also, 734 00:43:16,640 --> 00:43:19,919 Speaker 1: a lot of people were sort of concerned about being like, well, 735 00:43:20,640 --> 00:43:22,560 Speaker 1: is it at the point where everyone needs to be 736 00:43:22,560 --> 00:43:26,400 Speaker 1: doing this, because the CDC hadn't um, you know, actually 737 00:43:27,840 --> 00:43:30,160 Speaker 1: put out these guidelines saying this is what everyone needs 738 00:43:30,200 --> 00:43:32,359 Speaker 1: to do. But his reasoning was like, look, if this 739 00:43:32,680 --> 00:43:36,080 Speaker 1: even helps stop to spread by one percent, we're going 740 00:43:36,120 --> 00:43:38,120 Speaker 1: to do it. Like there's no reason to not do 741 00:43:38,239 --> 00:43:41,799 Speaker 1: every single thing we can, obviously without straining the resources 742 00:43:41,840 --> 00:43:44,720 Speaker 1: like N ninety five masks that are needed for frontline workers, 743 00:43:44,719 --> 00:43:47,319 Speaker 1: but like in terms of just anything, if we can 744 00:43:47,360 --> 00:43:49,319 Speaker 1: do this, if it's just if it's not if you've 745 00:43:49,320 --> 00:43:50,839 Speaker 1: got an old T shirt you can wear on your 746 00:43:50,840 --> 00:43:53,560 Speaker 1: face to go to seven eleven, please do that. It's 747 00:43:53,800 --> 00:43:56,400 Speaker 1: whatever we can do. The thing they said it actually 748 00:43:56,440 --> 00:44:00,240 Speaker 1: helps is uh. In addition to you know, asymptomatic people 749 00:44:00,800 --> 00:44:05,640 Speaker 1: being less likely to you know, cough some coronavirus out 750 00:44:05,680 --> 00:44:09,040 Speaker 1: into the world through a cloth mask, it makes you 751 00:44:09,840 --> 00:44:14,080 Speaker 1: uh or it makes people more likely to like steer 752 00:44:14,160 --> 00:44:16,799 Speaker 1: clear of you because you look scary. I guess you 753 00:44:16,840 --> 00:44:20,239 Speaker 1: look like an old timey bandit. So they're like, yeah, 754 00:44:20,280 --> 00:44:22,600 Speaker 1: I gotta watch out. Um. So it helps him force 755 00:44:22,920 --> 00:44:26,120 Speaker 1: social distancing. I'm really loving men staying the funk out 756 00:44:26,120 --> 00:44:29,160 Speaker 1: of my way on the sidewalk. It's been no one's 757 00:44:29,239 --> 00:44:32,080 Speaker 1: running to me and not seeing me. It's been perfect. 758 00:44:33,880 --> 00:44:36,239 Speaker 1: There is an upside to all of this. All right, 759 00:44:36,320 --> 00:44:49,600 Speaker 1: let's take another break. We'll be right back. And we're back. 760 00:44:50,280 --> 00:45:00,160 Speaker 1: And so is alcohol, the consumption of alcohol, alcohol stuff. Row, 761 00:45:00,200 --> 00:45:05,279 Speaker 1: are you clawing right now? Where's cloth? Man? You got? 762 00:45:05,760 --> 00:45:09,000 Speaker 1: You got? You got a cloth mask. The best part 763 00:45:09,000 --> 00:45:10,920 Speaker 1: about tangerine white clow is you can smell it from 764 00:45:10,920 --> 00:45:13,520 Speaker 1: a foot away. There you go. I got it. I 765 00:45:13,560 --> 00:45:17,239 Speaker 1: got a morning, got a morning business clonference call. I 766 00:45:17,239 --> 00:45:20,879 Speaker 1: gotta get on. So you know, we've talked a lot 767 00:45:20,920 --> 00:45:24,000 Speaker 1: on this show about how like there's always articles of 768 00:45:24,040 --> 00:45:27,360 Speaker 1: what millennials are killing because we're broke as a generation, 769 00:45:27,400 --> 00:45:30,160 Speaker 1: but like alcohol seemed to be like the one thing. 770 00:45:30,200 --> 00:45:34,000 Speaker 1: Actually most millennials like aren't really were. Like beer sales 771 00:45:34,000 --> 00:45:36,920 Speaker 1: were taking a bit because of the rise of the 772 00:45:36,960 --> 00:45:40,640 Speaker 1: Celtzies and what have you. Just generally like, beers out 773 00:45:40,640 --> 00:45:44,040 Speaker 1: of my repertoire. I'm a claw gal, beers out of 774 00:45:44,040 --> 00:45:47,640 Speaker 1: your repertoire completely, Well, we have some, but it's but 775 00:45:47,680 --> 00:45:51,160 Speaker 1: it don't it doesn't get touched generally. I've got I've 776 00:45:51,200 --> 00:45:53,560 Speaker 1: got my sweet claws. I let myself have one mix 777 00:45:53,600 --> 00:45:56,680 Speaker 1: hard if I'm having a really sad day, but I 778 00:45:56,719 --> 00:46:02,680 Speaker 1: have tried to try to keep it chill on the mics. Okash, wait, 779 00:46:02,719 --> 00:46:06,280 Speaker 1: but Mike's you call Mike's beer. No, no, no, no, sorry, 780 00:46:06,320 --> 00:46:10,000 Speaker 1: that's I have various brands of malt liquor. That makes 781 00:46:10,000 --> 00:46:14,280 Speaker 1: your head right right right, um, but so right now, 782 00:46:14,360 --> 00:46:17,840 Speaker 1: you know, with the choir, I think everyone many people 783 00:46:18,600 --> 00:46:22,840 Speaker 1: are starting to drink more in general, Like compared to 784 00:46:22,960 --> 00:46:28,280 Speaker 1: last marches, numbers online alcohol sales are up two uh 785 00:46:28,320 --> 00:46:32,279 Speaker 1: and right now just across the board. When like the 786 00:46:32,920 --> 00:46:37,080 Speaker 1: from Nielsen research, they found that sale of alcohol alcoholic 787 00:46:37,080 --> 00:46:42,560 Speaker 1: beverages rose in the weekending March one, and then spirits 788 00:46:42,560 --> 00:46:46,360 Speaker 1: like tequila, gin and pre mixed cocktails lead the way 789 00:46:46,480 --> 00:46:49,719 Speaker 1: in terms of like the biggest jump increase compared to 790 00:46:49,800 --> 00:46:53,719 Speaker 1: last year, and wine was up sixty six beer up. 791 00:46:55,760 --> 00:46:58,799 Speaker 1: Is this um like taking into account like what's sold 792 00:46:58,840 --> 00:47:05,640 Speaker 1: to like bars and restaurants to or is it like well, 793 00:47:05,680 --> 00:47:08,120 Speaker 1: I mean I have a feeling because the week ending 794 00:47:08,160 --> 00:47:10,799 Speaker 1: March twenty one, a lot of bars were not I 795 00:47:10,800 --> 00:47:14,279 Speaker 1: mean many places work shutting down bars and things like that. 796 00:47:14,320 --> 00:47:16,440 Speaker 1: So I think this is purely from like the consumer 797 00:47:16,560 --> 00:47:23,880 Speaker 1: level rather than the soul unfun science fact, alcohol is 798 00:47:23,960 --> 00:47:28,799 Speaker 1: pretty closely associated with cancer rates. Uh So I that 799 00:47:29,040 --> 00:47:34,040 Speaker 1: I don't know, Man, put down the claw, but like 800 00:47:34,360 --> 00:47:38,200 Speaker 1: I'm literally holding a claw right now, put it down, baby. 801 00:47:39,840 --> 00:47:42,319 Speaker 1: It's associated in what sense? Um, I don't know if 802 00:47:42,360 --> 00:47:45,319 Speaker 1: it's like linear realists associated, but there's like pretty high 803 00:47:45,360 --> 00:47:49,880 Speaker 1: correlations between drinking alcohol just even regularly and likelihood of 804 00:47:49,920 --> 00:47:52,319 Speaker 1: cancer and so. But people don't want to hear that, 805 00:47:52,560 --> 00:47:54,920 Speaker 1: but I said it, um, But I'm so, I'm wondering 806 00:47:54,960 --> 00:47:57,000 Speaker 1: if there's going to be like a spike of cancer 807 00:47:57,120 --> 00:48:01,239 Speaker 1: like years down the line from just this event, oh 808 00:48:01,280 --> 00:48:03,160 Speaker 1: from all the from the claw and stuff in the 809 00:48:03,200 --> 00:48:07,719 Speaker 1: month I mean, I drink just I just have a 810 00:48:07,760 --> 00:48:10,320 Speaker 1: couple of bests of red wine every day just to relax. 811 00:48:10,520 --> 00:48:19,840 Speaker 1: And then the Tannin's and Tendons, tennis chocolate, the anxious 812 00:48:19,880 --> 00:48:23,680 Speaker 1: oxenants are going to help me. Like fake news to me, 813 00:48:23,920 --> 00:48:27,800 Speaker 1: sounds like fake news. Yeah, I don't know. Look, Poppy 814 00:48:28,000 --> 00:48:30,719 Speaker 1: called me up and maybe for years, and then you 815 00:48:30,760 --> 00:48:35,399 Speaker 1: see where I'm at. I was, listen, I was. I'm 816 00:48:35,440 --> 00:48:38,840 Speaker 1: the result of a medical expense. I sound like a foot. 817 00:48:39,040 --> 00:48:41,200 Speaker 1: I'm the result of a medical experiment. I'm not going 818 00:48:41,239 --> 00:48:45,960 Speaker 1: to let a little white claw kill me. Okay, you 819 00:48:46,080 --> 00:48:53,080 Speaker 1: felt like Piro? Alright, you gotta lean back, though, Jenny 820 00:48:53,160 --> 00:48:55,719 Speaker 1: Piro was lean the funk back when she might have 821 00:48:55,760 --> 00:48:58,320 Speaker 1: been drunk that night. That's another reason why jinx culture 822 00:48:58,440 --> 00:49:01,719 Speaker 1: is so prevalent. Right now, Jenny Piero massive player in 823 00:49:01,760 --> 00:49:07,680 Speaker 1: the Jinks front. Chise, Oh that's right, I'm looking up 824 00:49:07,760 --> 00:49:12,640 Speaker 1: Janine Pierro young right now. She was agonist, right, she's 825 00:49:12,640 --> 00:49:14,759 Speaker 1: the antagonist. And then you learn more about her and 826 00:49:14,760 --> 00:49:18,480 Speaker 1: you're like, oh, Robert Durst is right. Yet again, Janine 827 00:49:18,520 --> 00:49:22,439 Speaker 1: Pierro sucks and he says, he says in court he's 828 00:49:22,520 --> 00:49:25,399 Speaker 1: like Janine Pierro made me do it, and you're like, 829 00:49:25,520 --> 00:49:33,279 Speaker 1: what the fun he rules? He rules to open a 830 00:49:33,320 --> 00:49:37,040 Speaker 1: claw with my man, Bobby d You might have viewed 831 00:49:37,080 --> 00:49:40,920 Speaker 1: that show differently because you said she's an antagonist. I 832 00:49:40,960 --> 00:49:44,680 Speaker 1: think most people were watching it thinking that Robert Durst 833 00:49:44,760 --> 00:49:47,960 Speaker 1: was the bad guy. But I actually don't think that that. 834 00:49:48,040 --> 00:49:50,279 Speaker 1: I think that that's what Andrew director, he wanted you 835 00:49:50,320 --> 00:49:53,200 Speaker 1: to think. But a lot of people saw through the 836 00:49:53,200 --> 00:49:56,959 Speaker 1: fog and saw that clearly Robert Durst was the under 837 00:49:57,120 --> 00:49:59,400 Speaker 1: I love an underdog story, the son of a billionaire 838 00:49:59,440 --> 00:50:06,400 Speaker 1: who murdered. There's three people. Allegedly, I love it. Allegedly. Allegedly, 839 00:50:07,640 --> 00:50:11,960 Speaker 1: Joe Exotic has spoken he wants either Brad Pitt or 840 00:50:12,040 --> 00:50:14,520 Speaker 1: Joe Dirt. As he put it, there's not really much 841 00:50:14,600 --> 00:50:18,280 Speaker 1: more to report than that. Um No, I mean, honestly, 842 00:50:18,360 --> 00:50:21,640 Speaker 1: just hearing him say that, like from all accounts, it 843 00:50:21,680 --> 00:50:24,560 Speaker 1: would have to be Joe Dirt. Like that, he said 844 00:50:24,640 --> 00:50:27,640 Speaker 1: he referred to David Spade as just Joe Dirt. That's 845 00:50:27,800 --> 00:50:29,560 Speaker 1: to be the best part of this whole thing, is 846 00:50:29,600 --> 00:50:32,359 Speaker 1: that David Spade has been reduced to Joe Dirt. Yes, 847 00:50:32,640 --> 00:50:36,520 Speaker 1: I mean, poor poor Spade. Is he a nice person. 848 00:50:36,600 --> 00:50:38,320 Speaker 1: He seems like he might be nice. I don't know, 849 00:50:39,320 --> 00:50:41,960 Speaker 1: but David can see him also. But why poor Spade, 850 00:50:42,000 --> 00:50:44,680 Speaker 1: he's being held up next to as his Joe Dirt 851 00:50:44,760 --> 00:50:48,000 Speaker 1: characters being held up next to Brad Pitt, Like that's 852 00:50:48,000 --> 00:50:51,560 Speaker 1: a compliment. That's true, and Brad Pitt should field maybe 853 00:50:51,640 --> 00:50:54,840 Speaker 1: not so good. When we think of our great actors, 854 00:50:55,400 --> 00:51:00,680 Speaker 1: we think of Brad Pitt and Joe Dirt. Just that 855 00:51:01,520 --> 00:51:03,920 Speaker 1: this gift of him taking his shirt off from Once 856 00:51:03,960 --> 00:51:07,439 Speaker 1: upon a Time in Hollywood and then just having Joe 857 00:51:07,480 --> 00:51:11,279 Speaker 1: Dirt or Brad Pitt Brad Pitt. I mean, if you 858 00:51:11,320 --> 00:51:13,640 Speaker 1: looked closely, there was a great Joe Dirt cameo and 859 00:51:13,680 --> 00:51:16,920 Speaker 1: Once upon a Time in Hollywood. But yeah, apparently. But 860 00:51:16,960 --> 00:51:20,480 Speaker 1: then David Spade, he had staff from Tiger King, the 861 00:51:20,520 --> 00:51:23,440 Speaker 1: guy who got his arm bit off from the from 862 00:51:23,440 --> 00:51:28,240 Speaker 1: the documentary on like like interviewed him online and staff 863 00:51:28,400 --> 00:51:30,760 Speaker 1: was like, you know what, I believe that you, David 864 00:51:30,800 --> 00:51:33,120 Speaker 1: Spade should play Joe Exotic. So we also have a 865 00:51:33,120 --> 00:51:39,399 Speaker 1: staff sign no agreed, roll it back. Do we need 866 00:51:39,600 --> 00:51:43,399 Speaker 1: any more anything to like about Tiger King? I feel 867 00:51:43,440 --> 00:51:45,040 Speaker 1: like we saw it all the documentary. I don't want 868 00:51:45,040 --> 00:51:47,600 Speaker 1: to see a movie version of this. That's I do 869 00:51:47,880 --> 00:51:50,600 Speaker 1: have a strong suspicion that, like a couple of months 870 00:51:50,680 --> 00:51:53,600 Speaker 1: from now, when when we're allowed to go outside again, 871 00:51:54,120 --> 00:51:57,080 Speaker 1: people will be like, I don't like thinking about the 872 00:51:57,080 --> 00:51:59,359 Speaker 1: Tiger King reminds me of a dark time in my life, 873 00:51:59,440 --> 00:52:02,239 Speaker 1: and I don't think about it. Just like I'm just 874 00:52:02,280 --> 00:52:05,480 Speaker 1: telling you this car the car bar is so low 875 00:52:05,640 --> 00:52:08,120 Speaker 1: right now that you can take advantage, whether it's a 876 00:52:08,160 --> 00:52:11,239 Speaker 1: true crime documentary, bad stand up whatever, afterwards. Yeah, we 877 00:52:11,320 --> 00:52:13,319 Speaker 1: might come out of this being like, dude, fuck Joe 878 00:52:13,320 --> 00:52:15,160 Speaker 1: Dirt and everything about it. It's just the thing we 879 00:52:15,200 --> 00:52:17,319 Speaker 1: needed to talk about to sort of like put away 880 00:52:17,360 --> 00:52:21,520 Speaker 1: our nihilistic thoughts and fantasies. But yeah, I kind of 881 00:52:21,719 --> 00:52:24,279 Speaker 1: Joe Dirt and Joe Exotic are the same thing. Now, 882 00:52:25,360 --> 00:52:27,719 Speaker 1: you miss spoken. Normally I would let it go, but 883 00:52:27,840 --> 00:52:30,560 Speaker 1: we have a policy on this show that we never 884 00:52:30,880 --> 00:52:35,799 Speaker 1: even accidentally impugned Joe Dirt. You said, fuck Joe Dirt. Yeah, 885 00:52:35,920 --> 00:52:39,480 Speaker 1: we cannot cannot let that sled. I'm sorry, I mean 886 00:52:39,600 --> 00:52:45,480 Speaker 1: fuck Joe Dear. Tay, Yes, Joe Dear take the paycheck 887 00:52:45,520 --> 00:52:49,920 Speaker 1: protection plan. Does anyone have experience with this? Do we know? 888 00:52:50,719 --> 00:52:53,680 Speaker 1: I just wanted to toss that out to Zeke Gang. Um, 889 00:52:53,920 --> 00:52:56,759 Speaker 1: we wanted to just because unemployment is at like an 890 00:52:56,760 --> 00:52:59,719 Speaker 1: all time high, it's at depression levels. I'm curious to 891 00:52:59,800 --> 00:53:01,759 Speaker 1: like how people and like getting like, have you been 892 00:53:01,760 --> 00:53:06,839 Speaker 1: filing for unemployment? If so, like has have people been responsive? 893 00:53:07,280 --> 00:53:11,239 Speaker 1: The Paycheck Protection Plan seems to be another option that 894 00:53:11,280 --> 00:53:15,320 Speaker 1: a few people tweeted at US about which it's qualified 895 00:53:15,360 --> 00:53:17,400 Speaker 1: as an s P, a loan that helps businesses keep 896 00:53:17,440 --> 00:53:22,879 Speaker 1: their workforce employed during the COVID nineteen crisis. Um, if 897 00:53:22,880 --> 00:53:25,520 Speaker 1: you've worked for a place that has actually gotten one 898 00:53:25,520 --> 00:53:28,040 Speaker 1: of these loans, I think what I'm trying to figure out. 899 00:53:28,040 --> 00:53:31,560 Speaker 1: What I'm curious about is there are all these promises 900 00:53:31,680 --> 00:53:35,120 Speaker 1: and options being presented, and I'm curious at how quickly 901 00:53:35,120 --> 00:53:39,600 Speaker 1: they're actually being followed through on. I was somewhat impressed 902 00:53:39,600 --> 00:53:43,399 Speaker 1: by my brother filed for unemployment less than two weeks 903 00:53:43,480 --> 00:53:46,399 Speaker 1: ago and and got his first check a couple of 904 00:53:46,480 --> 00:53:48,960 Speaker 1: days ago, which I feel like is faster than that 905 00:53:49,080 --> 00:53:52,120 Speaker 1: normally goes as someone who's filed for I think, yeah, 906 00:53:52,120 --> 00:53:54,520 Speaker 1: I think it depends on how you know inundated the 907 00:53:54,560 --> 00:53:57,200 Speaker 1: state is and what their infrastructure is. Already, some states 908 00:53:57,200 --> 00:53:59,719 Speaker 1: are like warning like years ago, being like just so 909 00:53:59,800 --> 00:54:03,360 Speaker 1: you know, our states like unemployment insurance website will be 910 00:54:03,440 --> 00:54:05,319 Speaker 1: fucked up if like more than five people log on 911 00:54:05,360 --> 00:54:08,440 Speaker 1: it once. Um So that's it's it's added things. But 912 00:54:08,680 --> 00:54:12,200 Speaker 1: with the Paycheck Protection Program. I have a homie who 913 00:54:12,320 --> 00:54:15,480 Speaker 1: has a small business and he was hitting me up 914 00:54:15,480 --> 00:54:17,920 Speaker 1: about it too, and he was like, you know, I 915 00:54:17,960 --> 00:54:21,120 Speaker 1: want to be optimistic because it's actually the paperwork was 916 00:54:21,200 --> 00:54:24,480 Speaker 1: really light and it seems like it's moving very smoothly. 917 00:54:24,920 --> 00:54:27,560 Speaker 1: Um so it has offered a bit of hope for 918 00:54:27,640 --> 00:54:29,759 Speaker 1: him as a small business owner. So yeah, if you 919 00:54:29,800 --> 00:54:31,959 Speaker 1: are find yourself in a situation like that, or maybe 920 00:54:31,960 --> 00:54:34,400 Speaker 1: based on how you might be as an independent contractor, 921 00:54:34,840 --> 00:54:36,719 Speaker 1: there could be a way for you to get some 922 00:54:36,800 --> 00:54:39,359 Speaker 1: love off that program too. But yeah, please check out 923 00:54:39,400 --> 00:54:42,759 Speaker 1: the Paycheck Protection Program or if you know anybody who 924 00:54:42,840 --> 00:54:44,560 Speaker 1: might be in a position where they need to take 925 00:54:44,600 --> 00:54:47,040 Speaker 1: advantage of that. That's one thing. So yeah, thank you 926 00:54:47,120 --> 00:54:50,759 Speaker 1: for everybody who from friends and listeners to get that 927 00:54:50,800 --> 00:54:53,000 Speaker 1: word out because I think that's there hasn't been a 928 00:54:53,080 --> 00:54:57,080 Speaker 1: great rite up or repository of information on like what 929 00:54:57,160 --> 00:55:00,920 Speaker 1: to do if you need this help. Yeah, and so 930 00:55:00,960 --> 00:55:02,279 Speaker 1: it's like we we kind of have to look out 931 00:55:02,320 --> 00:55:05,319 Speaker 1: for each other on this one, and I mean experiences 932 00:55:05,360 --> 00:55:07,759 Speaker 1: of any kind too, because if things are not like 933 00:55:07,840 --> 00:55:09,719 Speaker 1: working the way they should be with this program, we 934 00:55:09,719 --> 00:55:11,600 Speaker 1: should talk about that as well. I already know like 935 00:55:11,640 --> 00:55:15,279 Speaker 1: one small business in my area that was rejected for 936 00:55:15,320 --> 00:55:17,400 Speaker 1: it and was kind of like not given a reason 937 00:55:17,480 --> 00:55:21,480 Speaker 1: other than everyone's applying. And we chose in order of 938 00:55:21,560 --> 00:55:23,719 Speaker 1: how essential we felt things were. So was it a 939 00:55:23,800 --> 00:55:28,040 Speaker 1: yoga studio? It was. I'm thrilled to say, I don't 940 00:55:28,560 --> 00:55:31,800 Speaker 1: uh know anyone who is involved with the yoga studio 941 00:55:33,000 --> 00:55:36,080 Speaker 1: just in general that you would have said that before quarantine, 942 00:55:36,200 --> 00:55:38,640 Speaker 1: I would have been like, even do you even live 943 00:55:38,680 --> 00:55:42,120 Speaker 1: in l A There I honestly there was in my 944 00:55:42,160 --> 00:55:45,560 Speaker 1: old neighborhood. Um, I just moved. But there was like 945 00:55:45,600 --> 00:55:49,120 Speaker 1: a small strip of local businesses that have been there forever. 946 00:55:49,480 --> 00:55:51,799 Speaker 1: My like local liquor store was there. There was a 947 00:55:51,800 --> 00:55:53,560 Speaker 1: hair salon there. There's a bunch of great stuff, and 948 00:55:53,600 --> 00:55:57,839 Speaker 1: they all got like gentrified. The ship out of all 949 00:55:57,880 --> 00:56:02,080 Speaker 1: the businesses closed to yoga studios opened next to each other, 950 00:56:02,280 --> 00:56:06,080 Speaker 1: and I hope that they never reopened. No, that has 951 00:56:06,120 --> 00:56:07,759 Speaker 1: to be there has to be a law against that 952 00:56:08,360 --> 00:56:12,160 Speaker 1: there's there should be licenses given out, like with liquor licenses, 953 00:56:12,600 --> 00:56:16,520 Speaker 1: but for yoga studios or like science needs to come through, 954 00:56:16,560 --> 00:56:19,759 Speaker 1: like two yoga studios cannot be in door to door 955 00:56:19,840 --> 00:56:23,120 Speaker 1: or else a fire will occur or something like or 956 00:56:23,280 --> 00:56:27,359 Speaker 1: one needs to be burned down. Like it's just let's 957 00:56:27,360 --> 00:56:30,480 Speaker 1: be reasonable. I mean, if nothing else, Joe Exotic has 958 00:56:30,480 --> 00:56:33,239 Speaker 1: taught us that we can deal with our problems via 959 00:56:35,200 --> 00:56:38,759 Speaker 1: still function a good way to underrated. I mean, please 960 00:56:38,800 --> 00:56:41,680 Speaker 1: don't obviously, don't kill a bunch of fucking gators like 961 00:56:41,760 --> 00:56:50,640 Speaker 1: he did. Evans underrated. Yeah, Arson under It's been a 962 00:56:50,680 --> 00:56:55,200 Speaker 1: pleasure having you on the daily zis today find you 963 00:56:55,520 --> 00:56:59,840 Speaker 1: follow you here you um, Paula Vignalen p A l 964 00:57:00,239 --> 00:57:02,480 Speaker 1: A v I g u n A l A n. 965 00:57:02,600 --> 00:57:05,520 Speaker 1: That's my Instagram, my Twitter, my Facebook, my website and 966 00:57:05,560 --> 00:57:09,640 Speaker 1: my TikTok, which you should out because I'm on there 967 00:57:10,400 --> 00:57:16,080 Speaker 1: seven now. But yeah, I'm very excited about that. Is 968 00:57:16,120 --> 00:57:19,080 Speaker 1: there a tweet or some other active social media at 969 00:57:19,160 --> 00:57:22,280 Speaker 1: TikTok maybe that you've been um. There have been so 970 00:57:22,320 --> 00:57:25,320 Speaker 1: many TikTok's, so many that I love. UM. But the 971 00:57:25,360 --> 00:57:29,280 Speaker 1: tweet that I prepared for today was I don't know 972 00:57:29,320 --> 00:57:33,120 Speaker 1: if is it Johan Miranda, Um, j O H Yeah, Yohan, 973 00:57:33,240 --> 00:57:38,560 Speaker 1: okay j o H A N comedy on March it 974 00:57:38,680 --> 00:57:40,200 Speaker 1: was just I don't know why. I just found it 975 00:57:40,320 --> 00:57:43,000 Speaker 1: so funny, he tweeted, not gonna lie. I still think 976 00:57:43,720 --> 00:57:49,760 Speaker 1: is going to be my year. I just love it. 977 00:57:49,840 --> 00:57:54,440 Speaker 1: I love the optimism. Jamie, Where can people find you? 978 00:57:54,440 --> 00:57:57,240 Speaker 1: You can find me on Twitter at Jamie Loftus help 979 00:57:57,520 --> 00:58:03,240 Speaker 1: Instagram at Jamie christ Superstar. I'm gonna keep releasing um 980 00:58:03,360 --> 00:58:06,720 Speaker 1: episodes of my Quarantine soap opera. One's going to come out, 981 00:58:06,920 --> 00:58:09,560 Speaker 1: I think today. I guess we'll see. And a tweet 982 00:58:09,600 --> 00:58:14,560 Speaker 1: I've been enjoying is from Claire Schaefer at Claire E. 983 00:58:14,920 --> 00:58:19,000 Speaker 1: Schaefer and it says the day has finally come and 984 00:58:19,840 --> 00:58:22,240 Speaker 1: attached as an image of a text from her mom 985 00:58:22,360 --> 00:58:32,320 Speaker 1: that says, what's shoegaze? Okay, It's so funny, Damn Miles Ricky, 986 00:58:32,360 --> 00:58:35,840 Speaker 1: people find you and what's the tweet you've been enjoying? Ah? 987 00:58:36,000 --> 00:58:38,920 Speaker 1: You can find me Twitter, Instagram, PlayStation Network at Miles 988 00:58:39,000 --> 00:58:41,680 Speaker 1: of Gray. Also my other podcast for twenty Day Fiance, 989 00:58:41,760 --> 00:58:45,160 Speaker 1: where I talk about ninety day Fiance Hi with fellow 990 00:58:45,600 --> 00:58:49,800 Speaker 1: podcast comedian Sophia Alexandra. So check that out. A tweet 991 00:58:49,840 --> 00:58:52,440 Speaker 1: that I like is from at Day I'm shorty U 992 00:58:52,600 --> 00:58:56,120 Speaker 1: or says at that damn shorty, which is basically, it's 993 00:58:56,160 --> 00:58:59,480 Speaker 1: just a video of somebody going to fucking town on 994 00:58:59,520 --> 00:59:03,560 Speaker 1: their rest from breakfast, like taking just savoring everybody, like, Okay, 995 00:59:03,560 --> 00:59:05,360 Speaker 1: I got a little bit of waffle, take that, a 996 00:59:05,400 --> 00:59:07,480 Speaker 1: little bit of sausages. Cut that up like eating at 997 00:59:07,560 --> 00:59:12,040 Speaker 1: rapid speed, but every bite is fucking just completely savored. Uh. 998 00:59:12,080 --> 00:59:14,200 Speaker 1: And the tweet just says how how I'm gonna be 999 00:59:14,240 --> 00:59:17,320 Speaker 1: eating when the restaurants open back up? Because pat vibe 1000 00:59:17,440 --> 00:59:20,480 Speaker 1: is so true that I can just just watching this video. 1001 00:59:20,520 --> 00:59:25,040 Speaker 1: I'm like somebody's else, somebody else who knows how to 1002 00:59:25,040 --> 00:59:28,680 Speaker 1: cook us food fantastic. You can find me on Twitter 1003 00:59:28,720 --> 00:59:32,560 Speaker 1: at Jack Underscore Brian. A couple of tweets have been enjoying. 1004 00:59:32,800 --> 00:59:38,240 Speaker 1: Timholtz tweeted getting furious imagining a Johnny Depp joker UH 1005 00:59:39,920 --> 00:59:43,320 Speaker 1: and Studio glibly tweeted how lucky are whites that they 1006 00:59:43,360 --> 00:59:45,880 Speaker 1: can put out something like Tiger King and not after 1007 00:59:46,000 --> 00:59:50,200 Speaker 1: worry that we'll think they're all like that. I saw 1008 00:59:50,240 --> 00:59:54,200 Speaker 1: that one I was like, Yeah, you can find me 1009 00:59:54,240 --> 00:59:56,440 Speaker 1: on Twitter check Underscore brand. You can find us on 1010 00:59:56,480 --> 00:59:59,800 Speaker 1: Twitter at daily Zeitgeis. Were at the Daily Zeitgeis on Instagram, 1011 00:59:59,880 --> 01:00:03,240 Speaker 1: we Facebook, Campage, and a website Daily's like guys dot com, 1012 01:00:03,240 --> 01:00:07,240 Speaker 1: where we post our episodes and our footnotes. We link 1013 01:00:07,320 --> 01:00:09,880 Speaker 1: off to the information that we talked about in today's episode, 1014 01:00:09,920 --> 01:00:13,160 Speaker 1: as well as the song we right out on Miles. 1015 01:00:13,240 --> 01:00:15,840 Speaker 1: What's that going to be today? Oh, we did a 1016 01:00:16,280 --> 01:00:19,800 Speaker 1: gang when fellow listeners and people of the world. Another week. 1017 01:00:20,520 --> 01:00:23,400 Speaker 1: I'm sure it was difficult and we'll have to continue 1018 01:00:23,440 --> 01:00:26,120 Speaker 1: to be strong. But let's take a moment. Let's listen 1019 01:00:26,120 --> 01:00:28,920 Speaker 1: to some music that will give us some vibes. This 1020 01:00:29,080 --> 01:00:30,920 Speaker 1: next song that we're gonna go out on is by 1021 01:00:30,960 --> 01:00:34,760 Speaker 1: Barnes Boulevard called Now I See, and it's just a 1022 01:00:34,880 --> 01:00:37,840 Speaker 1: very you know, sort of low fi instrumental beat track, 1023 01:00:37,960 --> 01:00:40,840 Speaker 1: but it has great like sort of looking out of 1024 01:00:41,080 --> 01:00:43,040 Speaker 1: I don't know why. It's very vivid to me. I'm 1025 01:00:43,080 --> 01:00:45,240 Speaker 1: I feel like I'm looking out a window looking at 1026 01:00:45,240 --> 01:00:47,680 Speaker 1: a tree blowing in the wind. And that's the feeling 1027 01:00:47,680 --> 01:00:50,120 Speaker 1: that evokes a bit of calm, a little head nod. 1028 01:00:50,480 --> 01:00:54,280 Speaker 1: Some really nice guitar sample. Just you know, just relax. 1029 01:00:54,880 --> 01:00:58,400 Speaker 1: We got another week to do, so congratulate yourself. Sit back. 1030 01:01:00,720 --> 01:01:03,040 Speaker 1: The Daily Syeis is a production of I Heart Radio. 1031 01:01:03,120 --> 01:01:05,400 Speaker 1: For more podcasts from my heart Radio, visit the I 1032 01:01:05,480 --> 01:01:08,280 Speaker 1: Heart Radio app, Apple Podcaster, wherever you listen to your 1033 01:01:08,280 --> 01:01:12,200 Speaker 1: favorite shows. That is going to do it for this morning. 1034 01:01:12,280 --> 01:01:15,560 Speaker 1: We'll be back this afternoon to tell you what's a 1035 01:01:15,640 --> 01:01:19,200 Speaker 1: trend in and we will talk to you then Bye bye,