1 00:00:00,760 --> 00:00:03,760 Speaker 1: Hello the Internet, and welcome to Season to forty six, 2 00:00:03,880 --> 00:00:09,039 Speaker 1: Episode five of Dirt dailis Guys Day production of My 3 00:00:09,440 --> 00:00:11,600 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:11,600 --> 00:00:15,960 Speaker 1: deep dive into America's shared consciousness. It is Friday July, 5 00:00:18,680 --> 00:00:21,599 Speaker 1: which means it's solar flare Day, because all of our 6 00:00:21,600 --> 00:00:25,280 Speaker 1: technology is sucking up on the daily seguys. This will 7 00:00:25,320 --> 00:00:28,560 Speaker 1: be the first episode we've ever recorded where I can't 8 00:00:28,600 --> 00:00:34,720 Speaker 1: look gaze into miles miles eyes. I'm calling in. I 9 00:00:34,720 --> 00:00:37,040 Speaker 1: don't even know I have my video up, to be honest, 10 00:00:37,080 --> 00:00:39,199 Speaker 1: but I think I'm doing that just to maintain some 11 00:00:39,360 --> 00:00:44,080 Speaker 1: semblance of stability to the show at the moment. Let's 12 00:00:44,120 --> 00:00:46,560 Speaker 1: not just Solar flair Day. It's also good good news. 13 00:00:46,640 --> 00:00:51,360 Speaker 1: It's National hammock Day. And it's also National mango Day. Okay, 14 00:00:51,440 --> 00:00:53,640 Speaker 1: so just enjoy your mango in a hammock. You know 15 00:00:53,680 --> 00:00:56,600 Speaker 1: I'm getting now, Oh that sounds really good. That is 16 00:00:56,680 --> 00:00:59,000 Speaker 1: that is the rare day that like paints a complete 17 00:00:59,040 --> 00:01:01,440 Speaker 1: picture of the type of day you should be having. 18 00:01:01,640 --> 00:01:05,080 Speaker 1: The hammock with the mango. Hell yeah, all right, Well, 19 00:01:05,120 --> 00:01:09,280 Speaker 1: my name is Jack O'Brien, a k scrapple with some cheese, 20 00:01:09,800 --> 00:01:13,679 Speaker 1: stomach starts to stir, starts to stir. The whole plate 21 00:01:13,880 --> 00:01:18,479 Speaker 1: got me feeling unsure. Can't eat no more, can't eat 22 00:01:18,480 --> 00:01:21,200 Speaker 1: no more? Might poot my drawers to the potty. I 23 00:01:21,400 --> 00:01:25,399 Speaker 1: go go, go, go go. That is courtesy of Christie. 24 00:01:25,400 --> 00:01:29,920 Speaker 1: I'm a Gucci mane at waffle house. Little apple bottomed jeans. 25 00:01:30,400 --> 00:01:33,959 Speaker 1: Take on Greta's from a couple of days ago, Gretta's 26 00:01:34,560 --> 00:01:38,840 Speaker 1: scrapple melt recommendation and what it would make me do 27 00:01:39,080 --> 00:01:42,840 Speaker 1: to my drawers. Anyways, I'm thrilled to be joined as 28 00:01:42,880 --> 00:01:48,160 Speaker 1: always by my co host, Mr Miles Gray. Subway tuna 29 00:01:48,360 --> 00:01:53,520 Speaker 1: might have turtle. Subway tuna might have turtle. Subway tuna 30 00:01:53,720 --> 00:01:57,000 Speaker 1: might have turtles. Turtles in my foot long, I'd have 31 00:01:57,120 --> 00:02:01,880 Speaker 1: our Uh that's waffle house, that Wapple, Christie. I'm hitting 32 00:02:01,880 --> 00:02:05,640 Speaker 1: the fucking exacta today with to a k has from 33 00:02:05,680 --> 00:02:09,000 Speaker 1: the tip top. Also, there are some great subway tuna 34 00:02:09,280 --> 00:02:12,240 Speaker 1: a k S. I sees you. They will be addressed. 35 00:02:12,320 --> 00:02:14,600 Speaker 1: I sees you all, so just don't worry. We'll get 36 00:02:14,600 --> 00:02:18,120 Speaker 1: there in good time. Damn, the turtle really really did. 37 00:02:18,280 --> 00:02:21,360 Speaker 1: I feel like we were right to highlight the turtle 38 00:02:21,680 --> 00:02:26,359 Speaker 1: in the in the tuna subway tuna see food trawler 39 00:02:26,800 --> 00:02:29,560 Speaker 1: mesh exactly, I think, cause that's the thing that sticks out. 40 00:02:29,960 --> 00:02:32,400 Speaker 1: It's like, you know, just the idea of a turtle 41 00:02:32,480 --> 00:02:34,600 Speaker 1: being in the subway tuna is enough to get the 42 00:02:34,639 --> 00:02:38,200 Speaker 1: conversations going. Well, Miles, We're thrilled to be joined by 43 00:02:38,200 --> 00:02:41,360 Speaker 1: an actor, comic, writer, and dancer whose new podcast, The 44 00:02:41,400 --> 00:02:45,280 Speaker 1: Boss Bitch Show Podcast just dropped five episodes on All 45 00:02:45,320 --> 00:02:53,440 Speaker 1: our Asses last week. It's Kirsten O'Brien. Oh my god, 46 00:02:53,800 --> 00:02:57,560 Speaker 1: thank you guys so much for having me. Um. I 47 00:02:57,600 --> 00:03:02,080 Speaker 1: am sweating my tits off for various reasons. It's the 48 00:03:02,080 --> 00:03:06,959 Speaker 1: solar flare, it's the technology issues today. But we're making 49 00:03:06,960 --> 00:03:09,440 Speaker 1: it through. We're making it through. And Kirsten, we are 50 00:03:09,480 --> 00:03:14,320 Speaker 1: not related as far as I know. Correct, uh not yet, Okay, 51 00:03:17,080 --> 00:03:22,400 Speaker 1: pending I think pending DNA tests, pending DANNA tests. You know, Listen, 52 00:03:22,440 --> 00:03:25,320 Speaker 1: the Irish really got around at the turn of a 53 00:03:25,360 --> 00:03:27,880 Speaker 1: couple of centuries ago. And I have a lot of 54 00:03:27,960 --> 00:03:32,320 Speaker 1: Jack O'Brien's and my family already, so I think I did. 55 00:03:32,480 --> 00:03:35,840 Speaker 1: Of course I do. We're f I can count three. 56 00:03:36,600 --> 00:03:40,120 Speaker 1: What's what do you think the most common like male 57 00:03:40,280 --> 00:03:42,600 Speaker 1: name with O'Brien as the last name is Is it 58 00:03:42,680 --> 00:03:45,160 Speaker 1: Jack or Pat? Because I feel like I hear a 59 00:03:45,160 --> 00:03:48,400 Speaker 1: lot of Pat O'Brien's too. Oh, I'm going to challenge 60 00:03:48,400 --> 00:03:51,840 Speaker 1: you there and say it's John, right, right, right, it's 61 00:03:51,920 --> 00:03:56,920 Speaker 1: probably John O'Brien, which is my name. Actually, I am 62 00:03:57,000 --> 00:04:00,200 Speaker 1: John O'Brien and go by Jack, just to differential ate 63 00:04:00,280 --> 00:04:05,240 Speaker 1: myself by taking the second most common name. Yes, you 64 00:04:05,280 --> 00:04:08,120 Speaker 1: know some people just name their kids Jack now, like 65 00:04:08,160 --> 00:04:10,960 Speaker 1: they don't even do the John. Isn't that crazy? Are 66 00:04:11,000 --> 00:04:15,080 Speaker 1: they insane? What's wrong with them? Jack is a nickname. 67 00:04:15,520 --> 00:04:17,800 Speaker 1: That's what you call people when you're asking them how 68 00:04:17,800 --> 00:04:20,640 Speaker 1: to open PDF. It's not a real name that you 69 00:04:20,680 --> 00:04:25,960 Speaker 1: give them. Well, the Jack O'Brien's and my family are 70 00:04:26,080 --> 00:04:28,800 Speaker 1: very cool. Um. One of them was a c I 71 00:04:28,920 --> 00:04:35,920 Speaker 1: a sniper, and um one of them is my second cousin, 72 00:04:36,040 --> 00:04:38,960 Speaker 1: I believe, who I've never met. And then the other 73 00:04:39,000 --> 00:04:42,720 Speaker 1: one is my nephew who's two years old. So okay, 74 00:04:43,760 --> 00:04:46,960 Speaker 1: two year old. Yeah you said the first Did you 75 00:04:47,000 --> 00:04:51,000 Speaker 1: say a c I a sniper? Correct? I don't even 76 00:04:51,040 --> 00:04:55,720 Speaker 1: think they're supposed to have those not on the book, right, yeah? 77 00:04:55,800 --> 00:04:59,760 Speaker 1: Not not not out in the open. He's just somebody 78 00:04:59,760 --> 00:05:02,000 Speaker 1: who who you don't know what their job is. But 79 00:05:02,120 --> 00:05:04,279 Speaker 1: then like when you take him skei shooting, he like 80 00:05:04,800 --> 00:05:07,600 Speaker 1: shoots the skei and then like shoots all the pieces 81 00:05:07,600 --> 00:05:09,719 Speaker 1: of the skeet as they're falling to the ground, and 82 00:05:09,760 --> 00:05:15,280 Speaker 1: you're like, huh okay, what do you do? I I 83 00:05:15,320 --> 00:05:19,920 Speaker 1: do data entry in Virginia. Uh huh okay, got it. 84 00:05:20,000 --> 00:05:22,920 Speaker 1: And sometimes I do client work abroad in the Middle East. 85 00:05:23,120 --> 00:05:25,600 Speaker 1: I don't know. Look, you don't have go out of questions. Hey, 86 00:05:25,800 --> 00:05:30,800 Speaker 1: sometimes they need me to enter data in the Middle East. Yeah, yeah, yeah. 87 00:05:30,880 --> 00:05:33,520 Speaker 1: I think growing up the story was that he worked 88 00:05:33,520 --> 00:05:43,440 Speaker 1: in insurance, you know, ensuring the future of capitalism. Oh 89 00:05:43,520 --> 00:05:46,359 Speaker 1: my god. Alright, well, Kirsten, we're going to get to 90 00:05:46,360 --> 00:05:48,440 Speaker 1: know you a little bit better in a moment. First, 91 00:05:48,480 --> 00:05:51,120 Speaker 1: I'm going to scroll down here on my phone and 92 00:05:51,160 --> 00:05:53,800 Speaker 1: tell the listeners a couple of the things that we're 93 00:05:53,839 --> 00:05:57,360 Speaker 1: talking about a little later on in the show. We're 94 00:05:57,360 --> 00:06:00,640 Speaker 1: gonna talk about where San Francisco is I did after 95 00:06:00,680 --> 00:06:04,520 Speaker 1: they asked that their progressive district attorney, you know, they 96 00:06:04,520 --> 00:06:08,560 Speaker 1: were like they just bought into they got scared off 97 00:06:08,600 --> 00:06:13,240 Speaker 1: by the CVS wave of you know, shoplifting, and we're like, 98 00:06:13,279 --> 00:06:16,799 Speaker 1: we gotta get this guy out of here, and yeah, 99 00:06:16,880 --> 00:06:23,599 Speaker 1: it's bad. It looks like, yeah, it looks it's very bad. Timeline, Well, 100 00:06:23,720 --> 00:06:26,520 Speaker 1: would you like me to chime in on this when 101 00:06:26,520 --> 00:06:28,400 Speaker 1: we get to it? For sure? Right now we're just 102 00:06:28,880 --> 00:06:31,880 Speaker 1: we're just given the headline telling the people, giving them 103 00:06:31,880 --> 00:06:33,440 Speaker 1: a little sneak peak, but you could give him a 104 00:06:33,440 --> 00:06:35,440 Speaker 1: sneak peek of what you wanna what you're going to 105 00:06:35,600 --> 00:06:38,400 Speaker 1: chime in with. Well, there was a really great Atlantic 106 00:06:38,520 --> 00:06:41,680 Speaker 1: article about how San Francisco became a failed city and 107 00:06:41,720 --> 00:06:44,599 Speaker 1: I think like the concern is a lot about crime 108 00:06:44,640 --> 00:06:50,279 Speaker 1: and theft and protecting corporations absolutely, but I think another 109 00:06:50,440 --> 00:06:53,880 Speaker 1: huge part of it is the drug problem and overdoses 110 00:06:53,920 --> 00:06:57,279 Speaker 1: and depth from overdose. So it was a very interesting 111 00:06:57,400 --> 00:07:01,520 Speaker 1: article and really sad. Yeah, I think we'll get into 112 00:07:01,560 --> 00:07:04,360 Speaker 1: like kind of how like very real problems can be 113 00:07:04,520 --> 00:07:08,520 Speaker 1: you know, manipulated for not the best intentions, because if 114 00:07:08,520 --> 00:07:10,320 Speaker 1: you're really trying to help people, there's a way to 115 00:07:10,360 --> 00:07:13,680 Speaker 1: do that. Certainly, this is the first time I've ever 116 00:07:13,720 --> 00:07:16,640 Speaker 1: done the pock hasn't just heard Miles voice instead of 117 00:07:16,680 --> 00:07:20,200 Speaker 1: looking at him, And I'm transfixed what a voice on 118 00:07:20,240 --> 00:07:23,800 Speaker 1: this man. We're going to check him with Dr Oz's 119 00:07:23,840 --> 00:07:29,080 Speaker 1: garbage campaign, all of that plenty more. But first, Kirsten, 120 00:07:29,160 --> 00:07:31,200 Speaker 1: we do like to ask our guest, what is something 121 00:07:31,280 --> 00:07:36,560 Speaker 1: from your search history? Oh my gosh, So I recently 122 00:07:36,920 --> 00:07:42,840 Speaker 1: searched on Google the name Guy Paul Miery. Now let 123 00:07:42,840 --> 00:07:46,600 Speaker 1: me explain why I searched this name, Guy Paulmiery. I 124 00:07:46,640 --> 00:07:49,760 Speaker 1: was trying to name my new palm tree that I 125 00:07:49,800 --> 00:07:55,320 Speaker 1: bought because I killed vera whang. Unfortunately, my aloe vera 126 00:07:55,640 --> 00:07:59,040 Speaker 1: plant kicked the dust kick the bucket, and I wanted 127 00:07:59,120 --> 00:08:01,600 Speaker 1: to name my new palm tree. And I was convinced 128 00:08:01,680 --> 00:08:05,880 Speaker 1: that Guy Palmieri is an actual person. But I think 129 00:08:05,880 --> 00:08:09,040 Speaker 1: I'm just thinking of Guy Fiery. To be honest, I 130 00:08:09,080 --> 00:08:13,880 Speaker 1: think you're conflating Guy Fiery and Chazz Palmentary. Maybe yeah, 131 00:08:14,040 --> 00:08:16,480 Speaker 1: I think I think you got Chazz Palmentary in there 132 00:08:16,680 --> 00:08:21,160 Speaker 1: for sure. So so the big question is now, First 133 00:08:21,160 --> 00:08:23,920 Speaker 1: of all, I could not find Guy Palmieri. There's no 134 00:08:24,080 --> 00:08:28,600 Speaker 1: significant person. Sorry who if your name is Guy Palmieri, 135 00:08:28,680 --> 00:08:31,880 Speaker 1: but you're not significant enough for the Internet. This person 136 00:08:31,920 --> 00:08:34,680 Speaker 1: does not exist. So now the big question is do 137 00:08:34,800 --> 00:08:39,480 Speaker 1: I name my palm tree? Guy Palmieri anyways, or do 138 00:08:39,520 --> 00:08:42,280 Speaker 1: I name it Guy Fiery or do I name it 139 00:08:42,640 --> 00:08:46,920 Speaker 1: Chazz palment Terry. That's I think you gotta go with 140 00:08:47,000 --> 00:08:52,160 Speaker 1: Guy Palmiery. That that sounds like a work of poetry 141 00:08:52,200 --> 00:08:56,280 Speaker 1: that just like came full formed out of your unconscious mind. Yes, 142 00:08:56,800 --> 00:09:01,080 Speaker 1: it's certainly the stupidest choice. Yeah, Guy Palmieri is great. 143 00:09:01,280 --> 00:09:03,600 Speaker 1: I think Guy Palmieri is the one. So that's what 144 00:09:03,679 --> 00:09:05,760 Speaker 1: I googled. That's the kind of time I have on 145 00:09:05,800 --> 00:09:10,120 Speaker 1: my hands. Yeah, did you in your mind were you like, oh, like, 146 00:09:10,360 --> 00:09:13,880 Speaker 1: who did you think Guy Palmieri was? Like? And I 147 00:09:13,920 --> 00:09:15,400 Speaker 1: know that you just felt that it was a name, 148 00:09:15,440 --> 00:09:17,920 Speaker 1: but like in your mind, were you kind of envisioning 149 00:09:18,000 --> 00:09:21,560 Speaker 1: who Guy Palmieri is or was kind of I was like, 150 00:09:21,920 --> 00:09:25,319 Speaker 1: was he on the Sopranos? Like is this a character 151 00:09:25,600 --> 00:09:29,080 Speaker 1: from the Sopranos that I like can't put my finger 152 00:09:29,200 --> 00:09:32,840 Speaker 1: on and like can't picture his face? Hence the Google search, 153 00:09:33,720 --> 00:09:36,240 Speaker 1: And I was like, this has got to be a 154 00:09:36,240 --> 00:09:39,640 Speaker 1: real person, but not a significant one. It terms out. 155 00:09:39,800 --> 00:09:41,920 Speaker 1: I'm willing to put my money on that it was 156 00:09:41,960 --> 00:09:45,040 Speaker 1: a conflation of Guy Fieri and Chazz Palmentarry for sure. 157 00:09:48,480 --> 00:09:53,199 Speaker 1: Oh my god, my brain. Oh my poor brain. Kaz 158 00:09:53,240 --> 00:09:59,760 Speaker 1: Fieri is kind of a cool name too. Yeah. I 159 00:09:59,760 --> 00:10:03,800 Speaker 1: don't know if you saw the threat of celebrity names 160 00:10:03,800 --> 00:10:07,360 Speaker 1: with their first initials swapped, but that I can't not 161 00:10:07,600 --> 00:10:15,200 Speaker 1: think of that every time I hear a celebrity name. Yeah, 162 00:10:16,000 --> 00:10:20,080 Speaker 1: Jabriyan is mine. It kind of sucks, but I I will. 163 00:10:20,200 --> 00:10:23,880 Speaker 1: I'm gonna say right now that I totally thought Guy 164 00:10:23,960 --> 00:10:27,120 Speaker 1: Palmieri was a real was a real name, like you 165 00:10:27,200 --> 00:10:30,280 Speaker 1: said it. I was like, okay, so Kirston was looking 166 00:10:30,320 --> 00:10:33,680 Speaker 1: up a Sopranos actor. Yeah, it has the ring of 167 00:10:33,720 --> 00:10:37,560 Speaker 1: a real of a real fake name, like something someone 168 00:10:37,640 --> 00:10:43,200 Speaker 1: named themselves after they saw The Sopranos. Maybe, like you 169 00:10:43,240 --> 00:10:46,160 Speaker 1: could totally meet someone and be like, oh my god, 170 00:10:46,200 --> 00:10:49,520 Speaker 1: I love that actor from the Sopranos, Guy Palmieri, and 171 00:10:49,559 --> 00:10:52,400 Speaker 1: the person would be like, oh, I think I know 172 00:10:52,400 --> 00:10:56,000 Speaker 1: who you're talking about, right when, really, I think the 173 00:10:56,040 --> 00:10:58,800 Speaker 1: only guy Paumiery we see as a real estate consultant 174 00:10:58,800 --> 00:11:03,800 Speaker 1: and Livermore, Maine. Yes, that's the one I found, And 175 00:11:03,840 --> 00:11:06,200 Speaker 1: I was like, that's not the one I'm thinking of. 176 00:11:06,840 --> 00:11:10,760 Speaker 1: That's definitely not the guy I'm thinking of, right, Um, 177 00:11:10,800 --> 00:11:15,679 Speaker 1: what is something that you think is underrated. Eating all 178 00:11:15,720 --> 00:11:22,040 Speaker 1: your meals in your bed. I think that is highly underrated. Listen, 179 00:11:22,080 --> 00:11:25,760 Speaker 1: I'm very blessed to have an eating kitchen in my apartment. 180 00:11:26,280 --> 00:11:30,880 Speaker 1: Do I use it rarely? I mean, when you've got 181 00:11:30,880 --> 00:11:34,800 Speaker 1: a down comforter and like your dog and you can 182 00:11:34,840 --> 00:11:39,080 Speaker 1: be horizontal while like shoveling a salad into your mouth 183 00:11:39,080 --> 00:11:43,560 Speaker 1: from the twenty four hour grocery store, I mean, that's living. 184 00:11:44,280 --> 00:11:48,480 Speaker 1: That's later. I love eating in bed, but my wife, 185 00:11:48,480 --> 00:11:51,400 Speaker 1: her majesty, will not. She's like this disgusting, full of like, 186 00:11:51,480 --> 00:11:53,880 Speaker 1: get out of here with a slice of pizza bed. 187 00:11:53,960 --> 00:11:58,480 Speaker 1: I'm like, this is luxury. Okay, that's what I'm saying. 188 00:11:58,600 --> 00:12:02,080 Speaker 1: I'm saying it's luxurious. I'm saying it's so enjoyable. Is 189 00:12:02,120 --> 00:12:08,040 Speaker 1: it sanitary? Absolutely not? But you know, can we have 190 00:12:08,120 --> 00:12:12,200 Speaker 1: any joy anymore? You know? I need some joy in 191 00:12:12,240 --> 00:12:15,000 Speaker 1: my life. What are you watching while you're while you're 192 00:12:15,040 --> 00:12:20,280 Speaker 1: eating in bed? Oh my god, Barry has blown my mind? 193 00:12:20,600 --> 00:12:25,319 Speaker 1: Do you guys watch Barry? Oh? Yeah? Though, because everyone's 194 00:12:25,360 --> 00:12:28,199 Speaker 1: like the finale and I'm like, okay, based on everyone's 195 00:12:28,240 --> 00:12:29,760 Speaker 1: reaction to it, I don't know if I'm ready for 196 00:12:29,800 --> 00:12:35,640 Speaker 1: it yet, but it is so fucking brilliant, so incredibly brilliant. 197 00:12:36,360 --> 00:12:39,280 Speaker 1: I mean to first of all, I try to not 198 00:12:39,320 --> 00:12:41,840 Speaker 1: watch shows that are super violent, just because it's like 199 00:12:42,720 --> 00:12:46,160 Speaker 1: traumatizes me. I think, like our country is violent enough, 200 00:12:46,200 --> 00:12:47,720 Speaker 1: like I don't need to like watch it on my 201 00:12:47,720 --> 00:12:53,320 Speaker 1: free time. But this show is so violent and yet 202 00:12:54,120 --> 00:12:58,040 Speaker 1: it's it's balanced so well with the comedy that like, 203 00:12:58,160 --> 00:13:02,040 Speaker 1: I don't mind it. But I will say this last 204 00:13:02,080 --> 00:13:09,240 Speaker 1: season was particularly violent, and like, oh oh yeah, but 205 00:13:09,480 --> 00:13:12,360 Speaker 1: just such a good show, such a great show. And 206 00:13:12,679 --> 00:13:15,680 Speaker 1: I'm sorry to derail the conversation like I always do 207 00:13:15,760 --> 00:13:18,320 Speaker 1: on this show, but I'm I'm curious, Kirsten, where did 208 00:13:18,360 --> 00:13:22,520 Speaker 1: you didn't grow up in Missouri? Did you? Absolutely not? Okay, 209 00:13:22,559 --> 00:13:25,520 Speaker 1: because there was a guy there was a guy Palmieri 210 00:13:25,679 --> 00:13:29,360 Speaker 1: who was running who was I guess somewhat prominent in Joplin, Missouri. 211 00:13:29,440 --> 00:13:32,679 Speaker 1: So I was thinking, maybe I can't let go of 212 00:13:32,800 --> 00:13:36,000 Speaker 1: guy Palmieri right now. I'm sorry, No, you don't don't 213 00:13:36,080 --> 00:13:38,840 Speaker 1: let go of him, hold on to him forever. Listen. 214 00:13:38,880 --> 00:13:42,120 Speaker 1: That is very weird speaking of Zeitgeist, because there's a 215 00:13:42,160 --> 00:13:48,800 Speaker 1: whole Joplin, Missouri subplot in Barry. So that's a little weird. 216 00:13:49,280 --> 00:13:51,760 Speaker 1: I gotta say that's very weird. Oh you know what 217 00:13:52,240 --> 00:13:55,400 Speaker 1: God works in mysterious ways on a Friday, And this 218 00:13:55,480 --> 00:13:58,000 Speaker 1: is what God is up to right now, is finding 219 00:13:58,240 --> 00:14:02,560 Speaker 1: interesting little coincidences to put into the first act of 220 00:14:02,800 --> 00:14:05,840 Speaker 1: the Dailies. Like I feel like Guy Palmieri could be 221 00:14:06,600 --> 00:14:11,079 Speaker 1: a hearts of palm salad with bacon and cheddar like 222 00:14:11,240 --> 00:14:16,720 Speaker 1: over it made by Guy Fiery. And again you're bringing 223 00:14:16,720 --> 00:14:19,840 Speaker 1: it all together by bringing up a palm, which is 224 00:14:19,880 --> 00:14:23,040 Speaker 1: the plant that I wanted to name God Palmiery. So 225 00:14:23,320 --> 00:14:27,720 Speaker 1: you know, God does work in mysterious ways. I think 226 00:14:27,760 --> 00:14:31,520 Speaker 1: he wants us to find the Guy Palmiery and Jocpola, Missouri, 227 00:14:32,320 --> 00:14:34,560 Speaker 1: and I don't know, maybe it's a second coming, Like 228 00:14:34,600 --> 00:14:37,720 Speaker 1: I don't know what's happening. I bet Guy, I bet 229 00:14:37,720 --> 00:14:41,680 Speaker 1: Guy Fiery has a restaurant in Jopola, Missouri, and maybe 230 00:14:41,760 --> 00:14:44,160 Speaker 1: maybe we can reach out to that restaurant and pitch 231 00:14:44,280 --> 00:14:49,080 Speaker 1: them the Guy Palmiery hurts a palm smothered in bacon, 232 00:14:49,280 --> 00:14:58,120 Speaker 1: the smothered Guy Palmiery, the smothered salad, absolutely smothered smothered 233 00:14:58,200 --> 00:15:01,480 Speaker 1: is like I always any time that adjective is being 234 00:15:01,560 --> 00:15:04,480 Speaker 1: used on food, I'm like, I'm going to enjoy this 235 00:15:05,200 --> 00:15:08,520 Speaker 1: because they have used an adjective that is only otherwise 236 00:15:08,640 --> 00:15:13,960 Speaker 1: used in murder. Really right, I mean you are murdering 237 00:15:14,000 --> 00:15:17,840 Speaker 1: your arteries if there is smother in the name of 238 00:15:17,880 --> 00:15:21,239 Speaker 1: the food item, and you are definitely at an American 239 00:15:21,360 --> 00:15:26,520 Speaker 1: chain restaurant. It's either a Chili's or I mean so 240 00:15:26,600 --> 00:15:32,400 Speaker 1: many delicious other choices. Yeah, smothered freedom fries. Yeah. How 241 00:15:32,400 --> 00:15:34,680 Speaker 1: do you want your headstone when you die? I want 242 00:15:34,680 --> 00:15:39,520 Speaker 1: my headstone smothered and covered? That's right? Which one is smothered? 243 00:15:39,720 --> 00:15:42,560 Speaker 1: Do we do? We remember? Isn't isn't smothered with the 244 00:15:42,680 --> 00:15:47,480 Speaker 1: country gravy? Oh? Yeah, and that is the best one. 245 00:15:49,360 --> 00:15:52,360 Speaker 1: What we're talking of cords about waffle house, tater tots 246 00:15:53,360 --> 00:15:55,520 Speaker 1: or hash browns? My bat. Have you ever been to 247 00:15:55,560 --> 00:16:04,680 Speaker 1: a waffle house sober? Yes? Wow? Ok? Many times? Okay, yeah, 248 00:16:05,080 --> 00:16:07,960 Speaker 1: because a few times. I mean, like waffle house country. 249 00:16:08,120 --> 00:16:11,040 Speaker 1: It's usually like I'm eating breakfast to get on the 250 00:16:11,160 --> 00:16:14,080 Speaker 1: road somewhere versus God, I was getting sucked up in 251 00:16:14,120 --> 00:16:18,080 Speaker 1: town and I hit the waffle house. Yeah. I my 252 00:16:18,480 --> 00:16:21,800 Speaker 1: only relationship to waffle houses from college, So I guess 253 00:16:21,840 --> 00:16:25,320 Speaker 1: that tracks the waffle the waffle house. Smothered and covered 254 00:16:25,560 --> 00:16:29,440 Speaker 1: is diced onions and then smothered in onions covered in 255 00:16:29,520 --> 00:16:32,160 Speaker 1: melted cheese. I've been to places where they used smothered 256 00:16:32,200 --> 00:16:34,880 Speaker 1: and covered to describe country gravy with other stuff, So 257 00:16:34,960 --> 00:16:37,120 Speaker 1: that's like the real funked up version. I guess I'm 258 00:16:37,760 --> 00:16:41,680 Speaker 1: smothered and onions feels feels aggressive. I would have gone 259 00:16:41,680 --> 00:16:45,600 Speaker 1: with a different, different one, and like capped does not 260 00:16:45,680 --> 00:16:49,320 Speaker 1: feel aggressive enough in my opinion. Anyways, Kirsten, what is 261 00:16:49,360 --> 00:16:55,360 Speaker 1: something you think is overrated? Having children? And I'm so 262 00:16:55,400 --> 00:16:58,720 Speaker 1: sorry if either of you have um to say that, 263 00:16:58,760 --> 00:17:02,800 Speaker 1: if either of you have made joys. But you know, 264 00:17:02,960 --> 00:17:05,199 Speaker 1: I think it's a big ruse. I think it's a 265 00:17:05,200 --> 00:17:09,479 Speaker 1: big ruse of capitalism at this point, and you know, 266 00:17:10,160 --> 00:17:12,600 Speaker 1: it's just another way to keep the economy going. I 267 00:17:12,640 --> 00:17:15,720 Speaker 1: don't know. I have a very poor outlook on like 268 00:17:15,840 --> 00:17:20,840 Speaker 1: bringing more human beings into this mess? Do you know 269 00:17:20,880 --> 00:17:24,439 Speaker 1: what I mean? Like between I mean not to be 270 00:17:24,520 --> 00:17:28,320 Speaker 1: super dark, but between like climate change and like school shootings, 271 00:17:28,359 --> 00:17:33,520 Speaker 1: like I don't oh, like I just it's like being 272 00:17:33,560 --> 00:17:37,240 Speaker 1: at a terrible fucking party and then inviting everyone to 273 00:17:37,320 --> 00:17:41,600 Speaker 1: come and be like no, come, like right, yeah, I 274 00:17:41,880 --> 00:17:43,639 Speaker 1: have four kids. I have a four year old and 275 00:17:43,640 --> 00:17:45,760 Speaker 1: a six year old. I will say we went into 276 00:17:45,800 --> 00:17:49,240 Speaker 1: it very eyes wide open, that we were just aiming 277 00:17:49,320 --> 00:17:53,800 Speaker 1: to create a couple of consumers, you know, more consumers 278 00:17:53,880 --> 00:17:59,560 Speaker 1: to fuel the late stage capitalism market economy. And mainly 279 00:17:59,720 --> 00:18:02,679 Speaker 1: they're me. You know, I read them at copy for 280 00:18:02,720 --> 00:18:08,560 Speaker 1: their bedtime stories and the robberfor I know, you know. 281 00:18:08,640 --> 00:18:11,639 Speaker 1: And here's the thing, it's not. My issue was not 282 00:18:11,720 --> 00:18:16,040 Speaker 1: with children, Like children are beautiful and wonderful and like, 283 00:18:16,600 --> 00:18:19,959 Speaker 1: you know, these innocent little souls. It's it's the bringing 284 00:18:20,000 --> 00:18:24,000 Speaker 1: them in that I have a very sad outlook on. 285 00:18:24,119 --> 00:18:26,320 Speaker 1: I would I would liken it to like being on 286 00:18:26,359 --> 00:18:29,359 Speaker 1: a ride with like being in line for a ride, 287 00:18:29,440 --> 00:18:31,920 Speaker 1: like at a carnival, and like as you wait in line, 288 00:18:32,000 --> 00:18:34,880 Speaker 1: you're seeing the ride like fling people off and get 289 00:18:34,920 --> 00:18:38,480 Speaker 1: horribly injured, and then you get closer to your turn 290 00:18:38,520 --> 00:18:40,439 Speaker 1: and you're like, yeah, I think I think this is 291 00:18:40,480 --> 00:18:43,760 Speaker 1: fine to bring a kid on too. I think will 292 00:18:43,800 --> 00:18:45,560 Speaker 1: be one of the ones that don't get flung off. 293 00:18:46,119 --> 00:18:48,600 Speaker 1: But yeah, you're just like, well, I've been waiting in 294 00:18:48,640 --> 00:18:51,439 Speaker 1: this line for so long, like now I have to 295 00:18:51,520 --> 00:18:54,360 Speaker 1: get on the ride. You know. I mean, ye, you're 296 00:18:54,359 --> 00:19:00,680 Speaker 1: like everyone gets flung off terribly. So let's as kid. 297 00:19:00,920 --> 00:19:03,400 Speaker 1: I know, it's a it's a it's a tricky one. 298 00:19:03,840 --> 00:19:06,119 Speaker 1: It is a tricky one. You know, as long as 299 00:19:06,160 --> 00:19:08,600 Speaker 1: long as you know what you're doing, You're like, you're 300 00:19:09,000 --> 00:19:13,560 Speaker 1: you're here to create a couple guzzlers of Baja blast. 301 00:19:14,520 --> 00:19:17,639 Speaker 1: You're you're gonna be okay, You're never going to be disappointed, 302 00:19:18,200 --> 00:19:24,440 Speaker 1: and yeah, I don't know. Yeah, it's a bummer. There's 303 00:19:24,480 --> 00:19:28,719 Speaker 1: also like the world is statistically pretty safe compared to 304 00:19:29,280 --> 00:19:34,680 Speaker 1: like even when probably we were born, but it's it's 305 00:19:34,720 --> 00:19:40,199 Speaker 1: definitely unjust and has lost its tether on reality and 306 00:19:40,200 --> 00:19:45,600 Speaker 1: we're headed for a complete disaster that we seem incapable 307 00:19:45,680 --> 00:19:48,200 Speaker 1: of kind of coping with at the at the moment. 308 00:19:48,240 --> 00:19:50,359 Speaker 1: So it is kind of like a bet that we'll 309 00:19:50,400 --> 00:19:54,360 Speaker 1: figure this ship out, which I've always been optimian. You know. 310 00:19:54,560 --> 00:19:58,080 Speaker 1: It's like, you know when they pull like young Americans 311 00:19:58,160 --> 00:20:01,480 Speaker 1: are you know, pretty it's like one of their top 312 00:20:01,560 --> 00:20:06,840 Speaker 1: stressors is climate change. Like you know what I'm saying, 313 00:20:07,080 --> 00:20:16,959 Speaker 1: Oh yeah, I think about you. Oh man, no, I was, 314 00:20:17,040 --> 00:20:20,679 Speaker 1: I was legitimately thinking about climate change this morning walking 315 00:20:20,720 --> 00:20:25,119 Speaker 1: my dog and like sweating through my clothes, and I'm like, 316 00:20:25,760 --> 00:20:28,040 Speaker 1: was it always like this? You know? And I'm in 317 00:20:28,040 --> 00:20:32,840 Speaker 1: New York City and we've been having these insane rainstorms 318 00:20:32,880 --> 00:20:37,920 Speaker 1: that like flood the subways. Like the subways the subways 319 00:20:37,960 --> 00:20:41,639 Speaker 1: look like something out of like like a crazy action film, 320 00:20:41,840 --> 00:20:43,359 Speaker 1: where like you think you're going to see like an 321 00:20:43,359 --> 00:20:47,080 Speaker 1: alligator in there because they are completely flooded. It actually 322 00:20:47,080 --> 00:20:51,399 Speaker 1: looks exactly like the Universal Studio Tour when the tram 323 00:20:51,480 --> 00:20:54,360 Speaker 1: pulls up to a subway station that has a fucking 324 00:20:54,400 --> 00:20:58,360 Speaker 1: flood come through it, and you're like the exact same 325 00:20:58,520 --> 00:21:01,080 Speaker 1: visuals that like always, I feel like you're invoked in 326 00:21:01,119 --> 00:21:02,800 Speaker 1: my memory when I see that. I'm like, that's as 327 00:21:03,000 --> 00:21:07,920 Speaker 1: Universal Studios attraction, right, And like I have, I've lived here. 328 00:21:07,960 --> 00:21:10,560 Speaker 1: I've lived in New York City for fifteen years, And 329 00:21:10,600 --> 00:21:13,920 Speaker 1: I'm like, was it always like this? Like was this 330 00:21:14,520 --> 00:21:17,520 Speaker 1: always an issue like where we always like having people 331 00:21:17,960 --> 00:21:21,920 Speaker 1: wade through waste deep water to like get out of 332 00:21:22,200 --> 00:21:25,920 Speaker 1: the subway platform. I don't know. I don't think so. 333 00:21:26,520 --> 00:21:28,760 Speaker 1: I don't think so. Yeah. The other side of it too, 334 00:21:28,800 --> 00:21:31,480 Speaker 1: it's like, oh, here's a preview of what our infrastructure 335 00:21:31,520 --> 00:21:39,920 Speaker 1: looks like when inevitable arrives. All right, Yeah, let's take 336 00:21:39,920 --> 00:21:43,359 Speaker 1: a quick break and we'll be back and talk about, 337 00:21:44,000 --> 00:21:47,840 Speaker 1: you know, how we can deal with this new reality 338 00:21:47,920 --> 00:21:51,760 Speaker 1: we find ourselves in, namely just locking everything down with 339 00:21:51,800 --> 00:21:55,800 Speaker 1: security cameras and giving our rights over to a police state. 340 00:21:56,520 --> 00:22:11,280 Speaker 1: We'll be right back. Yeah, and we're back. And about 341 00:22:11,320 --> 00:22:16,359 Speaker 1: a month ago, San Francisco ousted a progressive district attorney, 342 00:22:16,880 --> 00:22:19,639 Speaker 1: Chase A. Boodine. Chase A Boodin. I was want to 343 00:22:19,680 --> 00:22:24,200 Speaker 1: pronounce his name like he's like I am suddenly occasion, 344 00:22:24,400 --> 00:22:26,520 Speaker 1: but yeah, it's booty, And I'm just saying, if you 345 00:22:26,560 --> 00:22:28,159 Speaker 1: want to get you know, if you want to go 346 00:22:28,280 --> 00:22:30,639 Speaker 1: down to bousquios with it, then that's that's sausage they 347 00:22:30,680 --> 00:22:37,080 Speaker 1: call Boudin. Anyways, I remember seeing the the right wing 348 00:22:37,200 --> 00:22:40,200 Speaker 1: media slash a lot of the mainstream media the day 349 00:22:40,240 --> 00:22:44,480 Speaker 1: after he was ousted in a like recall, just like 350 00:22:45,000 --> 00:22:48,320 Speaker 1: loving it, just loving to tell the story of like 351 00:22:48,720 --> 00:22:51,800 Speaker 1: this guy lost the city. He's he's a you know, 352 00:22:51,920 --> 00:22:54,119 Speaker 1: he's a mess. The city is a mess. They've just 353 00:22:54,200 --> 00:22:57,439 Speaker 1: like crime is out of control. And then finding a 354 00:22:57,520 --> 00:23:02,040 Speaker 1: handful of people who actually we're looking at the statistics 355 00:23:02,080 --> 00:23:05,399 Speaker 1: and we're like actually was just suddenly the mainstream media 356 00:23:05,720 --> 00:23:09,840 Speaker 1: really started focusing on every crime that happened in San 357 00:23:09,960 --> 00:23:14,840 Speaker 1: Francisco when this progressive District Attorney came into office, and 358 00:23:15,000 --> 00:23:18,760 Speaker 1: the crime was statistically not up in any way beyond 359 00:23:18,960 --> 00:23:22,400 Speaker 1: what you would expect from you know, the economy and 360 00:23:22,720 --> 00:23:27,000 Speaker 1: the pandemic. But anyways, we are now at the afterlife 361 00:23:27,160 --> 00:23:30,440 Speaker 1: of that of that event and the d A who's 362 00:23:30,480 --> 00:23:36,320 Speaker 1: been brought in less less progressive. I guess we could say, yeah, well, 363 00:23:36,359 --> 00:23:38,240 Speaker 1: I mean, this is the thing we've talked about, right, 364 00:23:38,240 --> 00:23:41,440 Speaker 1: Like there was all this hand ringing and pearl clutching, 365 00:23:41,480 --> 00:23:44,840 Speaker 1: like the crimes out of control. But again, criminologists and 366 00:23:44,920 --> 00:23:47,360 Speaker 1: people whose business it is to look at those things 367 00:23:47,400 --> 00:23:50,399 Speaker 1: are like the three years that Boudine served as a 368 00:23:50,520 --> 00:23:54,439 Speaker 1: d A, they were actually declining or stable rates of 369 00:23:54,480 --> 00:23:57,400 Speaker 1: like many crimes like you know, homicide and things like that. 370 00:23:57,800 --> 00:24:00,919 Speaker 1: But like you're saying the fixed on when like the 371 00:24:01,000 --> 00:24:04,520 Speaker 1: moneyed you know, property owning people of San Francisco, like, 372 00:24:04,600 --> 00:24:06,520 Speaker 1: let's get this guy out because he's being a little 373 00:24:06,520 --> 00:24:11,159 Speaker 1: too humane with his sense of justice. So they got 374 00:24:11,240 --> 00:24:14,640 Speaker 1: Once he's been out ousted, it's time for the new 375 00:24:14,720 --> 00:24:16,960 Speaker 1: regime to come in. There's a new DA that's come 376 00:24:17,000 --> 00:24:19,520 Speaker 1: in and now the d a's office has purged all 377 00:24:19,560 --> 00:24:23,840 Speaker 1: of you know, booty and old staff, and oh man, 378 00:24:24,000 --> 00:24:27,720 Speaker 1: the alternative that is being proposed isn't just like about 379 00:24:27,800 --> 00:24:31,520 Speaker 1: slightly tweet tweaking, like minimum sentences or things like this. 380 00:24:31,640 --> 00:24:34,199 Speaker 1: They're talking about mass surveillance. Let me just read this 381 00:24:34,280 --> 00:24:37,040 Speaker 1: from the Daily Beast. It says, quote, under the latest 382 00:24:37,080 --> 00:24:39,920 Speaker 1: policy proposed by a newly embolden police department and backed 383 00:24:39,920 --> 00:24:42,600 Speaker 1: by Mayor London breed In the new DA's office, cops 384 00:24:42,680 --> 00:24:45,400 Speaker 1: would be able to watch residents in real time during 385 00:24:45,440 --> 00:24:49,720 Speaker 1: a quote significant event with public safety concerns as part 386 00:24:49,840 --> 00:24:55,280 Speaker 1: of quote investigations relating to both active misdemeanors as well 387 00:24:55,320 --> 00:24:58,680 Speaker 1: as felonies. The cameras available for access would include those 388 00:24:58,680 --> 00:25:01,440 Speaker 1: with a variety of both lo in high level capabilities. 389 00:25:01,480 --> 00:25:05,760 Speaker 1: Everything from commercial to private doorbell cameras could ultimately be 390 00:25:05,880 --> 00:25:10,399 Speaker 1: employed to keep tabs on possible crimes. And that's what 391 00:25:11,480 --> 00:25:14,720 Speaker 1: like granting access like that, that's without them coming and 392 00:25:14,800 --> 00:25:18,760 Speaker 1: being like, hey, can we use your doorbell? They That 393 00:25:18,760 --> 00:25:20,760 Speaker 1: would be like a policy that I think the police 394 00:25:20,760 --> 00:25:23,200 Speaker 1: department would decide if an event is arising to the 395 00:25:23,280 --> 00:25:26,880 Speaker 1: quote significant event with public safety concerns, but like if 396 00:25:26,920 --> 00:25:30,080 Speaker 1: it's a misdemeanor but active public state, like what are 397 00:25:30,119 --> 00:25:32,399 Speaker 1: we saying? Look what are the definitions here? And I 398 00:25:32,400 --> 00:25:34,560 Speaker 1: think what's really interesting is this is how quickly you 399 00:25:34,560 --> 00:25:37,040 Speaker 1: can go from up having a progressive d A to 400 00:25:37,240 --> 00:25:41,160 Speaker 1: full blown surveillance state. Right Like, supporters of this new 401 00:25:41,200 --> 00:25:44,879 Speaker 1: policy talk about how this will help the cops curb 402 00:25:45,040 --> 00:25:48,960 Speaker 1: the chaos of drug deals and robberies, and that's all bullshit, 403 00:25:49,080 --> 00:25:51,639 Speaker 1: Like if are they are they are they proposing like 404 00:25:51,720 --> 00:25:54,879 Speaker 1: a crime prevention thing where people are monitoring every single 405 00:25:54,960 --> 00:25:57,640 Speaker 1: camera in real time. No if anything they're talking about, 406 00:25:57,680 --> 00:25:59,600 Speaker 1: so they have evidence where a lot of this footage 407 00:25:59,680 --> 00:26:02,919 Speaker 1: after can be accessed after the fact. So it's not 408 00:26:02,960 --> 00:26:05,800 Speaker 1: like spying on everyone's fucking rain camera is going to 409 00:26:05,840 --> 00:26:07,919 Speaker 1: be the new method of policing. And I think this 410 00:26:08,000 --> 00:26:10,080 Speaker 1: is again we're already living in a time where our 411 00:26:10,119 --> 00:26:13,040 Speaker 1: privacy is under tremendous threat and you look at what's 412 00:26:13,080 --> 00:26:16,119 Speaker 1: happening with Dobb's decision in the overturning of Row, like 413 00:26:16,280 --> 00:26:19,560 Speaker 1: privacy is a huge issue and we're already seeing how 414 00:26:19,640 --> 00:26:22,800 Speaker 1: quickly even in like like how the media would say, 415 00:26:22,800 --> 00:26:28,200 Speaker 1: seemingly liberal places can go to this full blown like yeah, yeah, 416 00:26:28,320 --> 00:26:31,000 Speaker 1: let's just um, let's just work with people's civil liberties 417 00:26:31,040 --> 00:26:34,160 Speaker 1: real quick, that that might be at the better option here. Well, yeah, 418 00:26:34,200 --> 00:26:36,280 Speaker 1: I mean the city of San Francisco has been in 419 00:26:36,720 --> 00:26:39,280 Speaker 1: really deep due to for a long time with like 420 00:26:39,560 --> 00:26:42,760 Speaker 1: wealth inequality, and like this is like this did not 421 00:26:42,960 --> 00:26:47,040 Speaker 1: happen overnight. Like San Francisco has had like a huge 422 00:26:47,119 --> 00:26:51,200 Speaker 1: problem with the house population and with drugs and with 423 00:26:51,359 --> 00:26:55,160 Speaker 1: of course with robbery, and it's like where the police 424 00:26:55,240 --> 00:27:00,560 Speaker 1: answer is always treating the symptom and not going to 425 00:27:00,600 --> 00:27:03,240 Speaker 1: the source of the problem of like why is there 426 00:27:03,280 --> 00:27:06,919 Speaker 1: not affordable housing and why why are these poor people 427 00:27:07,280 --> 00:27:11,600 Speaker 1: not lacking so much community and connection that they're getting 428 00:27:11,600 --> 00:27:15,800 Speaker 1: addicted to drugs? And you know, it's just police is 429 00:27:15,840 --> 00:27:18,160 Speaker 1: always the answer in this country. Well, and I think 430 00:27:18,240 --> 00:27:21,080 Speaker 1: that's the most fucked up part, right, because I'm so 431 00:27:21,200 --> 00:27:24,680 Speaker 1: tired of hearing about policies and technology that quote will 432 00:27:24,760 --> 00:27:28,040 Speaker 1: make policing easier. That's a that's like the biggest red 433 00:27:28,080 --> 00:27:31,080 Speaker 1: flag like you could ask for policing in this thing. 434 00:27:31,160 --> 00:27:34,280 Speaker 1: Said that about body camps. They said that about body camps, 435 00:27:34,280 --> 00:27:36,280 Speaker 1: And how has that worked out, well, yeah, you can 436 00:27:36,320 --> 00:27:39,440 Speaker 1: wait a few months or may maybe oh whoops, I turn, 437 00:27:39,520 --> 00:27:41,240 Speaker 1: I didn't have it on that time. But I think 438 00:27:41,320 --> 00:27:43,520 Speaker 1: what what we do know is that policing in this 439 00:27:43,640 --> 00:27:48,440 Speaker 1: country is unequivocally a failed experiment, and we ignore new 440 00:27:48,480 --> 00:27:51,159 Speaker 1: approaches to community safety at our own peril, Like the 441 00:27:51,200 --> 00:27:54,800 Speaker 1: trajectory we are on will eventually lead to you cannot 442 00:27:54,880 --> 00:27:58,320 Speaker 1: leave your domicile unless it is for authorized activity in 443 00:27:58,400 --> 00:28:02,360 Speaker 1: order to ensure the communities say the type Yeah, yeah, 444 00:28:02,440 --> 00:28:04,560 Speaker 1: And I would also challenge to say, like it really 445 00:28:04,600 --> 00:28:07,920 Speaker 1: wasn't an experiment like that. Policing in this country has 446 00:28:07,960 --> 00:28:11,520 Speaker 1: always been to protect wealth and to protect property. Yeah. 447 00:28:11,560 --> 00:28:15,520 Speaker 1: I use that in a very a charitable way to say, okay, 448 00:28:15,560 --> 00:28:19,800 Speaker 1: you're done under fifty year, Like how many times do 449 00:28:19,800 --> 00:28:22,600 Speaker 1: you need to see it absolutely fail in your face 450 00:28:22,640 --> 00:28:26,680 Speaker 1: to be like this is not a good thing or working. 451 00:28:27,119 --> 00:28:29,800 Speaker 1: And you know, like to your point as well, Kirston, 452 00:28:29,880 --> 00:28:32,919 Speaker 1: it's like we're not talking about what the root causes, right, 453 00:28:32,960 --> 00:28:35,359 Speaker 1: because so much crime that that that they like the 454 00:28:35,440 --> 00:28:38,400 Speaker 1: news like the sensationalize. There's so much ship that's just 455 00:28:38,520 --> 00:28:42,000 Speaker 1: survival crime, you know, people needing ways to make money 456 00:28:42,040 --> 00:28:44,920 Speaker 1: to support themselves in a family because they have been 457 00:28:44,920 --> 00:28:50,760 Speaker 1: completely excluded from the traditional economy based on you know, class, race, gender, identity, 458 00:28:50,800 --> 00:28:53,160 Speaker 1: what have you. And if we're going to actually slow 459 00:28:53,240 --> 00:28:57,560 Speaker 1: quote unquote crime, we need to address the needs of people. 460 00:28:57,600 --> 00:29:01,160 Speaker 1: It's proven over and over again what's social safety nets 461 00:29:01,200 --> 00:29:04,440 Speaker 1: can do to help stabilize people's lives. So people commit 462 00:29:04,520 --> 00:29:07,440 Speaker 1: crimes because they are in need much of the time, 463 00:29:07,720 --> 00:29:10,360 Speaker 1: and not because we don't have enough fucking ring cameras 464 00:29:10,360 --> 00:29:15,960 Speaker 1: that police can fucking hack into. Exactly. The police are basically, 465 00:29:16,520 --> 00:29:21,480 Speaker 1: especially in San Francisco, they are private security for like 466 00:29:22,280 --> 00:29:27,680 Speaker 1: real estate millionaires and you know, tech billionaires essentially, and 467 00:29:27,680 --> 00:29:32,920 Speaker 1: in corporations. I mean, you know, I mean the the 468 00:29:32,960 --> 00:29:35,040 Speaker 1: whole like CVS thing. I have one of my best 469 00:29:35,040 --> 00:29:38,120 Speaker 1: friends lives in San Francisco and she's like, you literally 470 00:29:38,200 --> 00:29:41,080 Speaker 1: can't find a drug store, Like there are no drugs 471 00:29:41,080 --> 00:29:43,960 Speaker 1: because CBS is deciding as a company to close their 472 00:29:44,000 --> 00:29:50,840 Speaker 1: stores because of the loss of inventory. And then that 473 00:29:50,920 --> 00:29:53,840 Speaker 1: they were pushing because they were actually running at a 474 00:29:53,880 --> 00:29:57,400 Speaker 1: loss on their rentals, like for the for the locations 475 00:29:57,400 --> 00:30:01,560 Speaker 1: they used to rent places, and they had actually articulated 476 00:30:01,560 --> 00:30:04,640 Speaker 1: a plan to begin phasing out stores because they weren't 477 00:30:04,680 --> 00:30:06,960 Speaker 1: just they weren't bringing in enough revenue to justify the 478 00:30:07,280 --> 00:30:10,520 Speaker 1: property rental cost, and they were able to then loop 479 00:30:10,640 --> 00:30:13,920 Speaker 1: in this the theft ring into like sort of give, 480 00:30:14,240 --> 00:30:17,120 Speaker 1: give this whole narrative even more legs to be like, dude, 481 00:30:17,160 --> 00:30:19,880 Speaker 1: CBS can't even operate here anymore when a lot of 482 00:30:19,960 --> 00:30:22,200 Speaker 1: journalists are like hold on. There was an Earnings called 483 00:30:22,200 --> 00:30:24,280 Speaker 1: six months ago where they talked about how this was 484 00:30:24,320 --> 00:30:26,560 Speaker 1: a very bad market for them and they needed to 485 00:30:26,600 --> 00:30:30,040 Speaker 1: rethink their strategy here. So like that's what's like wild too, 486 00:30:30,080 --> 00:30:33,840 Speaker 1: is there's so many seemingly good faith explanations for things 487 00:30:33,840 --> 00:30:35,960 Speaker 1: that are happening, but many of them are still tied 488 00:30:36,080 --> 00:30:40,080 Speaker 1: up in like this, you know, manufacturing consent for this 489 00:30:40,200 --> 00:30:43,400 Speaker 1: new way of keeping people safe by being like, yeah, 490 00:30:43,440 --> 00:30:46,040 Speaker 1: we're gonna tap into cameras just like they did in 491 00:30:46,040 --> 00:30:48,320 Speaker 1: the summer of which I think a lot of people 492 00:30:48,360 --> 00:30:51,680 Speaker 1: don't talk about either, where many activists are saying, dude, 493 00:30:51,720 --> 00:30:55,360 Speaker 1: they're fucking tapping into like, uh cameras when people are 494 00:30:55,400 --> 00:30:58,320 Speaker 1: exercising their right to protest, and that's having a chilling 495 00:30:58,320 --> 00:31:00,880 Speaker 1: effect on our ability to organ nice things. So there's 496 00:31:00,880 --> 00:31:04,360 Speaker 1: like so much ship that so much multi layer shit 497 00:31:04,520 --> 00:31:06,920 Speaker 1: happening with like and they can just take one sort 498 00:31:06,960 --> 00:31:09,800 Speaker 1: of really sensational bit of video and take us to 499 00:31:09,840 --> 00:31:11,760 Speaker 1: this point, I feel like, and if you want to 500 00:31:11,800 --> 00:31:15,120 Speaker 1: see that, like there's a conspiracy at work with the 501 00:31:15,160 --> 00:31:18,040 Speaker 1: mainstream media, or at least the mainstream media is heavily 502 00:31:18,080 --> 00:31:21,959 Speaker 1: influenced by wealth, and like, look look at that story 503 00:31:22,040 --> 00:31:25,640 Speaker 1: about CBS and like why they're closing their doors and 504 00:31:25,880 --> 00:31:29,240 Speaker 1: the real the real reason is that the rent is 505 00:31:29,280 --> 00:31:32,960 Speaker 1: too high, that every everything costs too much, prices are 506 00:31:32,960 --> 00:31:37,280 Speaker 1: out of control, particularly in you know, with with regards 507 00:31:37,280 --> 00:31:40,000 Speaker 1: to rent in San Francisco, Jesus Christ, and that like 508 00:31:40,120 --> 00:31:43,160 Speaker 1: that is a that is a story that everyone can 509 00:31:43,200 --> 00:31:45,840 Speaker 1: identify with. That is a story that needs to be 510 00:31:45,920 --> 00:31:49,360 Speaker 1: told that people are telling in movies and people are telling. 511 00:31:49,640 --> 00:31:53,719 Speaker 1: But in the mainstream media they chose to take, like 512 00:31:53,840 --> 00:31:57,280 Speaker 1: ignore the fact that CBS couldn't even pay their fucking 513 00:31:57,280 --> 00:32:01,720 Speaker 1: rent and go with it's these hand full of unhoused 514 00:32:01,880 --> 00:32:05,560 Speaker 1: people shoplifting and like they they've made it so they 515 00:32:05,560 --> 00:32:09,040 Speaker 1: can't even like keep shit on the shelf anymore. Which 516 00:32:09,480 --> 00:32:13,640 Speaker 1: again the fact, like it there is brutal inequality in 517 00:32:13,640 --> 00:32:16,920 Speaker 1: San Francisco it's not like those crimes were we're not happening. 518 00:32:16,960 --> 00:32:20,120 Speaker 1: But the fact that the the runaway story that became 519 00:32:20,160 --> 00:32:25,400 Speaker 1: like a national media you know, phenomenon, became about shoplifting 520 00:32:25,480 --> 00:32:30,080 Speaker 1: instead of like a story that is like desperately crying 521 00:32:30,080 --> 00:32:33,320 Speaker 1: out to be told. As a re klient who's like 522 00:32:33,520 --> 00:32:37,440 Speaker 1: really smart. For usually like half of his articles he like, 523 00:32:37,560 --> 00:32:40,080 Speaker 1: I think he started with Vox and now he's at 524 00:32:40,080 --> 00:32:43,080 Speaker 1: the New York Times, and he's like he almost got 525 00:32:43,120 --> 00:32:45,320 Speaker 1: there in this article where he's talking about how like 526 00:32:45,880 --> 00:32:50,600 Speaker 1: prices are the main story in the United States, the 527 00:32:50,600 --> 00:32:54,160 Speaker 1: fact that prizes are completely out of control, and that 528 00:32:54,280 --> 00:32:58,640 Speaker 1: there are things that the government could be doing to 529 00:32:59,680 --> 00:33:02,320 Speaker 1: him them in and make it to the corporations aren't 530 00:33:02,320 --> 00:33:04,760 Speaker 1: able to just raise prices as much as they want, 531 00:33:04,920 --> 00:33:08,120 Speaker 1: or you know, landlords aren't able to and they're choosing 532 00:33:08,160 --> 00:33:11,680 Speaker 1: not to do that. And then he you know, proposed 533 00:33:11,720 --> 00:33:13,960 Speaker 1: a bunch of like means tested ship at the end, 534 00:33:14,120 --> 00:33:17,160 Speaker 1: but he was almost there. It was almost like, yeah, so, 535 00:33:17,240 --> 00:33:19,760 Speaker 1: what what do we do about that? We need to 536 00:33:19,920 --> 00:33:23,960 Speaker 1: have a government Maybe that isn't completely and of the 537 00:33:23,960 --> 00:33:30,280 Speaker 1: time beholden to corporations and wealth only, but yeah, yeah, 538 00:33:31,160 --> 00:33:33,840 Speaker 1: it's wild. It's it's truly criminal. I mean, we just 539 00:33:33,880 --> 00:33:35,800 Speaker 1: had an article come out from the New York Times 540 00:33:35,800 --> 00:33:38,200 Speaker 1: that the average New York City run is now five 541 00:33:38,360 --> 00:33:44,680 Speaker 1: thousand dollars. And that's I mean, it's laughable. It's just 542 00:33:45,320 --> 00:33:48,480 Speaker 1: it's it's truly mind boggling. I mean, we have like 543 00:33:48,520 --> 00:33:52,000 Speaker 1: a housing crisis. People are waiting in lines around the 544 00:33:52,040 --> 00:33:55,440 Speaker 1: block just to see a shitty apartment on the Lower 545 00:33:55,480 --> 00:34:00,440 Speaker 1: East Side because it's two thousand dollars and even is 546 00:34:00,560 --> 00:34:05,360 Speaker 1: so high for the average person. Yeah, And I think 547 00:34:05,360 --> 00:34:09,719 Speaker 1: and again it's because America hate, like the media hates 548 00:34:09,760 --> 00:34:13,440 Speaker 1: to really like examine what the real issues that are 549 00:34:13,480 --> 00:34:16,320 Speaker 1: like harming this country are. We're not talking about in 550 00:34:16,400 --> 00:34:19,480 Speaker 1: a way of like, okay, the average, the fucking average 551 00:34:19,640 --> 00:34:23,239 Speaker 1: is five thousand. Like most people are raised to be like, hey, 552 00:34:23,280 --> 00:34:25,080 Speaker 1: you don't want to spend you know, more than a 553 00:34:25,200 --> 00:34:28,760 Speaker 1: third of your monthly income on rent. So if this person, 554 00:34:28,960 --> 00:34:31,759 Speaker 1: this magical person who can afford five thousand dollars a 555 00:34:31,800 --> 00:34:35,800 Speaker 1: month or a month rent, they're making what fifteen thousand dollars? 556 00:34:36,480 --> 00:34:42,399 Speaker 1: You know, who is this person grand a year take home? Right? 557 00:34:42,760 --> 00:34:45,880 Speaker 1: That's what that's your net? Like, So where where is 558 00:34:45,960 --> 00:34:47,960 Speaker 1: this because most people who would hear this right now 559 00:34:48,000 --> 00:34:51,000 Speaker 1: be like, who, why and how many people like this 560 00:34:51,080 --> 00:34:53,160 Speaker 1: are there there? I mean, there are plenty of people 561 00:34:53,200 --> 00:34:55,880 Speaker 1: who can afford that, but that's not what the average 562 00:34:55,880 --> 00:34:58,399 Speaker 1: person can afford. And I think when we do these 563 00:34:58,440 --> 00:35:01,480 Speaker 1: things and just scapegoat the poll or for being like 564 00:35:01,520 --> 00:35:04,000 Speaker 1: all this chaos, man, CBS is fucking up because these 565 00:35:04,040 --> 00:35:06,759 Speaker 1: poor people are stealing things rather than shit is so 566 00:35:06,840 --> 00:35:10,000 Speaker 1: expensive and people are so desperate. Look at what it's 567 00:35:10,080 --> 00:35:13,680 Speaker 1: doing to society right now. Look at that. But it's 568 00:35:13,680 --> 00:35:17,560 Speaker 1: easier to just say, oh god, this this d a man. 569 00:35:17,640 --> 00:35:20,719 Speaker 1: He's a real he's a real loser hunk because everything's 570 00:35:20,719 --> 00:35:30,880 Speaker 1: out of control because no one can afford anything. Yeah, yikes, yikes, 571 00:35:32,200 --> 00:35:36,520 Speaker 1: and uh this is our yikes. I just I'm trying 572 00:35:36,520 --> 00:35:38,880 Speaker 1: to figure out what your salary would have to be 573 00:35:39,080 --> 00:35:43,720 Speaker 1: to pool in eight after Texas, and I just did 574 00:35:44,040 --> 00:35:47,759 Speaker 1: two hundred and fifty thousand dollars and that brings you 575 00:35:47,920 --> 00:35:51,080 Speaker 1: two hundred and sixty two thousand, So you wouldn't even 576 00:35:51,160 --> 00:35:53,040 Speaker 1: if you made two hundred fifty thousand dollars a year, 577 00:35:53,040 --> 00:35:56,520 Speaker 1: you wouldn't even be able to afford rent in average rent. Yeah, 578 00:35:56,560 --> 00:36:00,319 Speaker 1: if you made a quarter of a million dollars year, 579 00:36:00,800 --> 00:36:04,959 Speaker 1: you could not live comfortably in New York City, even 580 00:36:05,000 --> 00:36:07,120 Speaker 1: if you're if you're living by that rule, because we 581 00:36:07,160 --> 00:36:09,640 Speaker 1: know most people are spending six of there and come 582 00:36:09,680 --> 00:36:13,440 Speaker 1: on on rent, you know what I mean, absolutely spending 583 00:36:13,680 --> 00:36:15,719 Speaker 1: way more than a third of my income on my rent. 584 00:36:16,320 --> 00:36:19,959 Speaker 1: Everyone is so strapped. And but again when the people 585 00:36:19,960 --> 00:36:22,240 Speaker 1: who report the news are people who are not strapped 586 00:36:22,280 --> 00:36:24,920 Speaker 1: and have never been strapped and will never be strapped. 587 00:36:24,960 --> 00:36:29,960 Speaker 1: For cash, you have to be making around two thousand, 588 00:36:30,000 --> 00:36:32,720 Speaker 1: almost three hundred thousand dollars a year to afford rent 589 00:36:32,840 --> 00:36:37,319 Speaker 1: in h to afford average rent, which is not how 590 00:36:37,360 --> 00:36:39,359 Speaker 1: things work. But that's I mean, that's what was cool 591 00:36:39,400 --> 00:36:41,640 Speaker 1: about this as a client thing. It was like, holy 592 00:36:41,680 --> 00:36:43,600 Speaker 1: sh it, did did they just find out about this 593 00:36:43,680 --> 00:36:46,080 Speaker 1: in the New York Times? But yeah, he was just 594 00:36:46,080 --> 00:36:49,840 Speaker 1: talking about like how the medium home price in nineteen 595 00:36:49,880 --> 00:36:52,600 Speaker 1: fifty was two point two times the average annual income 596 00:36:52,640 --> 00:36:57,040 Speaker 1: by twenty was six times. Childcare costs grew by about 597 00:36:57,120 --> 00:37:01,000 Speaker 1: two thousand percent between seven nineteen seventy two and two 598 00:37:01,000 --> 00:37:04,680 Speaker 1: thousand and seven. Family premiums for employer based health insurance 599 00:37:04,760 --> 00:37:11,800 Speaker 1: jumped by scent just between deductibles, out of pocket costs 600 00:37:12,080 --> 00:37:16,240 Speaker 1: went up sevent Like that doesn't that that's in ten years, 601 00:37:16,480 --> 00:37:19,799 Speaker 1: and it's like, you know, the amount we're paying on 602 00:37:20,160 --> 00:37:23,719 Speaker 1: for health insurance let alone like companies is went up 603 00:37:23,760 --> 00:37:26,680 Speaker 1: seventy and this is when we're supposed to be like 604 00:37:26,760 --> 00:37:33,080 Speaker 1: getting state sponsored healthcare. And then between nineteen eight and 605 00:37:33,080 --> 00:37:36,200 Speaker 1: two thousand eighteen, the average costed an undergraduate education rose 606 00:37:36,239 --> 00:37:41,359 Speaker 1: by a hundred and sixty and so everybody is in debt, 607 00:37:41,640 --> 00:37:44,160 Speaker 1: is in massive debt, and like yeah, like what we 608 00:37:44,160 --> 00:37:46,239 Speaker 1: were just talking about with being able to pay your rent, 609 00:37:46,360 --> 00:37:50,799 Speaker 1: Like everybody is in debt, and they are like, well 610 00:37:50,840 --> 00:37:53,200 Speaker 1: why is why is their crime? Why why are people 611 00:37:53,280 --> 00:37:57,880 Speaker 1: unhappy with the Democratic Party? And it's like, well, I 612 00:37:57,920 --> 00:38:03,600 Speaker 1: don't know, man and um specifically on the childcare costs. 613 00:38:03,640 --> 00:38:07,520 Speaker 1: I mean it's my my brother has two young children 614 00:38:07,800 --> 00:38:10,080 Speaker 1: and one is two and one is like six months, 615 00:38:10,120 --> 00:38:12,920 Speaker 1: and they had a dual income. Both he and his 616 00:38:12,920 --> 00:38:15,600 Speaker 1: wife were working and you know, doing pretty well, like 617 00:38:16,120 --> 00:38:19,160 Speaker 1: you know, they had a good upper middle class income 618 00:38:19,239 --> 00:38:23,960 Speaker 1: for a family of four, and just to consider her 619 00:38:24,120 --> 00:38:26,919 Speaker 1: going back to work and then having to put them 620 00:38:26,960 --> 00:38:31,360 Speaker 1: in daycare, they were looking at four thousand dollars a 621 00:38:31,480 --> 00:38:38,080 Speaker 1: month in daycare costs. So essentially, like for most people, 622 00:38:38,320 --> 00:38:42,719 Speaker 1: that's like you would only be working to pay the daycare, 623 00:38:42,840 --> 00:38:46,920 Speaker 1: So how does it make sense to work? Like it's 624 00:38:46,960 --> 00:38:50,680 Speaker 1: like if she's going back, I mean that offsets assuming 625 00:38:50,719 --> 00:38:53,319 Speaker 1: she's making you know, one one to one point five 626 00:38:53,360 --> 00:38:58,480 Speaker 1: million dollars a year, that's yeah, yeah, as a as 627 00:38:58,520 --> 00:39:01,719 Speaker 1: a special education to teacher. That's about the average of 628 00:39:02,640 --> 00:39:07,080 Speaker 1: what could a special education teacher make Michael one one 629 00:39:07,120 --> 00:39:12,440 Speaker 1: point five million dollars a year? Yeah, holy moley. So 630 00:39:12,480 --> 00:39:14,920 Speaker 1: it's like, how do we God, Like, how do we 631 00:39:15,040 --> 00:39:19,640 Speaker 1: circle that square? My goodness? Well, And I think that's 632 00:39:19,680 --> 00:39:23,600 Speaker 1: what we at every at every turn, Like we people 633 00:39:24,120 --> 00:39:26,279 Speaker 1: who are in these places positions of power, and it's 634 00:39:26,280 --> 00:39:28,560 Speaker 1: hard for them to abandon the status quo. But like 635 00:39:28,640 --> 00:39:32,719 Speaker 1: the previous ways of thinking are not applicable and in 636 00:39:32,760 --> 00:39:35,160 Speaker 1: fact they're complete, they're harmful at this point. And the 637 00:39:35,280 --> 00:39:39,439 Speaker 1: challenges to have the imagination to do things differently because 638 00:39:39,480 --> 00:39:41,920 Speaker 1: we're not in the same fucking realities that we are. 639 00:39:42,400 --> 00:39:46,320 Speaker 1: And and I think that's what's my favorite philosopher said, 640 00:39:46,440 --> 00:39:54,400 Speaker 1: think different, Steve Job, have you work? The only philosophy 641 00:39:54,480 --> 00:40:00,319 Speaker 1: we teach our kids, is you know for breakfast and 642 00:40:00,760 --> 00:40:08,520 Speaker 1: uh add copy, add copy for lunch exactly, hustle for dinner. Yeah, 643 00:40:08,520 --> 00:40:10,239 Speaker 1: and you hustle, you get out there, you get on 644 00:40:10,320 --> 00:40:17,680 Speaker 1: your grind sir, Yes, super healthy. All right, let's take 645 00:40:17,719 --> 00:40:31,240 Speaker 1: a quick break. We'll be right back, and we're back. 646 00:40:31,880 --> 00:40:38,960 Speaker 1: And doctor Oz America's Doctor the worst Ods since that 647 00:40:39,080 --> 00:40:44,400 Speaker 1: James Franco movie still hot on the campaign trail and 648 00:40:45,280 --> 00:40:48,040 Speaker 1: I don't know, man, did you ever hear that voicemail 649 00:40:48,200 --> 00:40:51,760 Speaker 1: where he and his wife like called the reporter who 650 00:40:52,239 --> 00:40:55,480 Speaker 1: like had written something negative about him, and then they 651 00:40:55,560 --> 00:40:57,880 Speaker 1: left the phone un hung up and you just like 652 00:40:57,960 --> 00:41:03,880 Speaker 1: heard them be like just so like bitchy and awful 653 00:41:04,280 --> 00:41:07,240 Speaker 1: and like kind of evil sounding, but it also felt 654 00:41:07,280 --> 00:41:12,280 Speaker 1: like they feel like they're entitled to to this Senate 655 00:41:12,320 --> 00:41:17,680 Speaker 1: seat is pretty wild. It's not going great for him. 656 00:41:17,760 --> 00:41:23,640 Speaker 1: He seems somewhat social media social media illiterate and just 657 00:41:23,719 --> 00:41:28,959 Speaker 1: like humankind illiterate a little bit. The thing his main 658 00:41:29,080 --> 00:41:33,440 Speaker 1: thing that John Fetterman, his opponent, actual human being and 659 00:41:33,840 --> 00:41:38,359 Speaker 1: former Bernie Sanders supporter, is you know, hitting hitting him 660 00:41:38,360 --> 00:41:43,040 Speaker 1: on repeatedly, is that he's like a a fake Pennsylvanian 661 00:41:44,200 --> 00:41:48,120 Speaker 1: because he didn't live in Pennsylvania until he decided to 662 00:41:48,200 --> 00:41:53,680 Speaker 1: run for office, And his response to that critique is 663 00:41:53,800 --> 00:41:59,560 Speaker 1: to go to the biggest tourist traps in Philadelphia, but 664 00:41:59,600 --> 00:42:02,320 Speaker 1: like the worst traps that everybody thinks are like authentic. 665 00:42:02,640 --> 00:42:05,520 Speaker 1: So he went to you know, the two Philly cheese 666 00:42:05,520 --> 00:42:08,600 Speaker 1: take places, Pats and Genos, and took his picture in 667 00:42:08,680 --> 00:42:12,680 Speaker 1: each one, and Pats immediately came back and was like, 668 00:42:12,719 --> 00:42:15,120 Speaker 1: do you even live in Pennsylvania? And can you spell 669 00:42:15,239 --> 00:42:18,680 Speaker 1: the town you live in? Because in his campaign announcement 670 00:42:18,920 --> 00:42:24,840 Speaker 1: he misspelled his declaration of candidacy. He misspelled his supposed 671 00:42:24,880 --> 00:42:28,680 Speaker 1: Pennsylvania hometown, and he got roasted for that. He he 672 00:42:28,719 --> 00:42:32,080 Speaker 1: showed his like show Business asked because he he said 673 00:42:32,120 --> 00:42:35,000 Speaker 1: he was in Huntington's Valley, Pennsylvania, but he spelled like 674 00:42:35,080 --> 00:42:41,880 Speaker 1: Huntington's Beach, California with the T and yeah, I like that. 675 00:42:41,920 --> 00:42:44,719 Speaker 1: He goes just but again in a panic thing like yeah, 676 00:42:44,719 --> 00:42:47,560 Speaker 1: I went to Pats Anginos though, right, yeah, yeah, you 677 00:42:47,600 --> 00:42:50,319 Speaker 1: gotta cover both sides. Can we also talk about that? 678 00:42:50,400 --> 00:42:52,480 Speaker 1: Like one of the press pictures that he took, he 679 00:42:52,560 --> 00:42:54,719 Speaker 1: has like a big thumbs up, I think, and it 680 00:42:54,840 --> 00:42:58,640 Speaker 1: has right behind him hashtag heart attack, Like, what isn't 681 00:42:58,680 --> 00:43:04,160 Speaker 1: he a heart searcheon? Like what he was a heart 682 00:43:04,200 --> 00:43:06,759 Speaker 1: surgeon and a very good heart surgeon right by the way, 683 00:43:06,840 --> 00:43:09,560 Speaker 1: which shouldn't tell you anything about Dr Oz. It should 684 00:43:09,560 --> 00:43:14,840 Speaker 1: tell you about surgeons. Surgeons are essentially I'm like fighter pilots. 685 00:43:15,080 --> 00:43:17,880 Speaker 1: They're just they gotta be good. Yeah, you can't be 686 00:43:17,960 --> 00:43:22,560 Speaker 1: like a bad pilot. They gotta be good with their hands. 687 00:43:22,960 --> 00:43:26,160 Speaker 1: They do not have to be all around emotionally intelligent 688 00:43:26,280 --> 00:43:29,839 Speaker 1: human beings, which I think is confusing to people sometimes. 689 00:43:29,880 --> 00:43:32,959 Speaker 1: The best part, though, is like how John Fetterman, though 690 00:43:33,040 --> 00:43:37,320 Speaker 1: like he is a doctor Oz, is social media nemesis. 691 00:43:37,360 --> 00:43:39,239 Speaker 1: Like when he tweeted the thing He's like, Yo Ma 692 00:43:39,360 --> 00:43:43,080 Speaker 1: Gino's and Pats he the thing that Federman tweeted, he 693 00:43:43,160 --> 00:43:45,759 Speaker 1: said he quote tweeted that. He said, ah, yes, the 694 00:43:45,800 --> 00:43:48,960 Speaker 1: trip to Pat's plus Geno's a right of passage for 695 00:43:49,080 --> 00:43:55,520 Speaker 1: every tourist. Fetterman's social media team is on point. And 696 00:43:55,560 --> 00:44:00,000 Speaker 1: then he even got Snooky to record a fucking cameo 697 00:43:59,840 --> 00:44:02,160 Speaker 1: because he lives in New Jersey and because of her 698 00:44:02,239 --> 00:44:04,200 Speaker 1: Jersey short let me just play this thing where he 699 00:44:04,680 --> 00:44:10,799 Speaker 1: John Freederman summons Snooky like to be like let me 700 00:44:10,840 --> 00:44:13,160 Speaker 1: just throw some shade at Dr oz real quick Jersey 701 00:44:13,160 --> 00:44:18,239 Speaker 1: to Jersey. Hey, May Matt, this is Nicole Um and 702 00:44:18,280 --> 00:44:20,360 Speaker 1: I'm from Jersey Shore. I don't know if you've seen 703 00:44:20,400 --> 00:44:23,000 Speaker 1: of it before, but I'm a hot mess on a 704 00:44:23,040 --> 00:44:26,239 Speaker 1: reality show basically, and I enjoy life. Um. But I 705 00:44:26,480 --> 00:44:29,759 Speaker 1: heard that you moved from New Jersey to Pennsylvania to 706 00:44:29,800 --> 00:44:32,799 Speaker 1: look for a new job. And personally, I don't know 707 00:44:32,840 --> 00:44:35,799 Speaker 1: why anyone would want to leave Jersey because it's like 708 00:44:35,880 --> 00:44:38,960 Speaker 1: the best place ever and we're all hot messes. Um, 709 00:44:39,000 --> 00:44:40,920 Speaker 1: But I want to say best of luck to you. 710 00:44:41,480 --> 00:44:43,360 Speaker 1: I know you're away from home and you're in a 711 00:44:43,400 --> 00:44:47,720 Speaker 1: new place, but Jersey will not forget you. Just like, again, 712 00:44:48,520 --> 00:44:51,880 Speaker 1: do we knew what she was doing in that? Or 713 00:44:51,960 --> 00:44:55,520 Speaker 1: do we think that Federman's campaign reached out and just 714 00:44:55,560 --> 00:44:59,760 Speaker 1: gave her the script and gave her the man. It's 715 00:45:00,000 --> 00:45:03,720 Speaker 1: oh good, it's so m hmm. I don't know snooky 716 00:45:03,800 --> 00:45:07,040 Speaker 1: that well to like believe that she really knew the 717 00:45:07,080 --> 00:45:10,920 Speaker 1: kind of shade she was throwing. But if if Betterman 718 00:45:11,000 --> 00:45:14,080 Speaker 1: paid for that, that's brilliant. I'm sure he just paid 719 00:45:14,120 --> 00:45:17,719 Speaker 1: and said hey, my friend, mammit, even though she's like, hey, Maymett, Like, 720 00:45:17,840 --> 00:45:19,799 Speaker 1: so that's I'm like, I don't think I don't think 721 00:45:19,840 --> 00:45:21,799 Speaker 1: she was coached on this at all. Like I think 722 00:45:21,840 --> 00:45:24,520 Speaker 1: she just looked through her cameo requests, like all right, 723 00:45:24,520 --> 00:45:27,759 Speaker 1: this is for Maymett, who just moved from Jersey to Pennsylvania. 724 00:45:28,360 --> 00:45:30,120 Speaker 1: And then because you can always say what you want 725 00:45:30,160 --> 00:45:32,600 Speaker 1: them to say and say, I just really want you 726 00:45:32,600 --> 00:45:34,520 Speaker 1: to wish them best of luck on their new journey 727 00:45:34,560 --> 00:45:37,239 Speaker 1: because you know they left home and so they can 728 00:45:37,280 --> 00:45:39,680 Speaker 1: script it in a way that like the celebrity will 729 00:45:39,719 --> 00:45:44,359 Speaker 1: just kind of regret you. Wow, that's brilliant. I think 730 00:45:44,360 --> 00:45:47,440 Speaker 1: you might be right. There's just like an authenticity about 731 00:45:47,440 --> 00:45:54,000 Speaker 1: Fetterman in this which feels like it has similarities to 732 00:45:54,719 --> 00:45:58,680 Speaker 1: the authenticity that is like confounding to the mainstream media 733 00:45:58,920 --> 00:46:02,160 Speaker 1: that like sanders Head, where they're like what is it 734 00:46:02,200 --> 00:46:06,000 Speaker 1: about this guy? It's like, Oh, they like actually say 735 00:46:06,440 --> 00:46:11,040 Speaker 1: the thing that they believe, and there's like there's there's 736 00:46:11,080 --> 00:46:13,840 Speaker 1: no they don't have consultants who tell them how to 737 00:46:14,000 --> 00:46:18,040 Speaker 1: speak in a language that will make your job easier. 738 00:46:18,120 --> 00:46:21,400 Speaker 1: They just say the thing. And so Federman has gotten 739 00:46:21,440 --> 00:46:24,840 Speaker 1: nine point nine million in Canton paying contributions. Dr Oz's 740 00:46:24,880 --> 00:46:29,000 Speaker 1: campaign has pulled in one point one million, which I 741 00:46:29,000 --> 00:46:35,560 Speaker 1: think that's nine times before. That's not good. And Federman 742 00:46:35,840 --> 00:46:38,320 Speaker 1: seems to be like surging on the polls despite the 743 00:46:38,320 --> 00:46:41,520 Speaker 1: fact that he hasn't actually been campaigning. He's been recovering 744 00:46:41,640 --> 00:46:45,320 Speaker 1: from a stroke he had a He suffered a stroke 745 00:46:45,640 --> 00:46:48,440 Speaker 1: due to an undisclosed heart conditioned days before he earned 746 00:46:48,440 --> 00:46:51,520 Speaker 1: the nomination in mid May. I'm not gonna say anything 747 00:46:51,560 --> 00:46:53,799 Speaker 1: about the cia Is heart attack gun or the fact 748 00:46:53,800 --> 00:46:56,279 Speaker 1: that Bernie Sanders had a heart attack and the lead 749 00:46:56,360 --> 00:46:59,160 Speaker 1: up to his run for president. I'm not going to 750 00:46:59,280 --> 00:47:01,880 Speaker 1: say that, But I'm just saying a c I a 751 00:47:01,960 --> 00:47:06,000 Speaker 1: sniper named Jack O'Brien might have been at work with 752 00:47:06,040 --> 00:47:09,399 Speaker 1: a little might have dusted off the own bad heart 753 00:47:09,440 --> 00:47:14,680 Speaker 1: attack done. But doctor Oz's response to him, like being 754 00:47:15,080 --> 00:47:18,280 Speaker 1: not on the campaign trail and still like kicking his ass, 755 00:47:18,320 --> 00:47:20,279 Speaker 1: was like first of all, to put up a make 756 00:47:20,360 --> 00:47:24,360 Speaker 1: a like really bad graphic of Fetterman on a milk 757 00:47:24,440 --> 00:47:28,279 Speaker 1: carton with with a missing sign. And then the date 758 00:47:28,440 --> 00:47:31,839 Speaker 1: is like missing since when he had the stroke is 759 00:47:31,880 --> 00:47:34,360 Speaker 1: like the date that he used, Like they didn't write 760 00:47:34,360 --> 00:47:36,239 Speaker 1: when he had the stroke, but they might as well 761 00:47:36,280 --> 00:47:39,240 Speaker 1: if it was like since this date, which seems pretty 762 00:47:39,239 --> 00:47:42,640 Speaker 1: dick ish coming from a man who once again would 763 00:47:43,080 --> 00:47:45,600 Speaker 1: like us to believe that his first name is doctor. 764 00:47:45,640 --> 00:47:47,759 Speaker 1: I think he tried to legally change his name to 765 00:47:47,880 --> 00:47:52,720 Speaker 1: Dr Oz. Also a great great I love that cardiologist. 766 00:47:52,760 --> 00:47:56,200 Speaker 1: You're a fucking cardiologist. You know. It's he had a 767 00:47:56,239 --> 00:47:58,520 Speaker 1: stroke today, his heart condition. He's like, yeah, I know 768 00:47:58,520 --> 00:48:02,120 Speaker 1: how that should haven't that he's on a milk carton. Yeah? Wow, 769 00:48:02,800 --> 00:48:07,160 Speaker 1: it is. It is truly early nineties television graphics though 770 00:48:07,320 --> 00:48:10,759 Speaker 1: that they've got which makes sense, Like it's like the 771 00:48:11,160 --> 00:48:15,520 Speaker 1: done by the seventy eight year old photoshop with the 772 00:48:15,719 --> 00:48:18,800 Speaker 1: Dr Oz knows um is like the caliber of the 773 00:48:18,880 --> 00:48:21,759 Speaker 1: image image work, because they've got here. That was the 774 00:48:21,760 --> 00:48:25,520 Speaker 1: other thing he posted where because he's Dr Oz. This 775 00:48:25,560 --> 00:48:28,640 Speaker 1: whole thing is trying to tie Fetterman and like Bernie 776 00:48:28,640 --> 00:48:31,680 Speaker 1: Sanders together, be like he's just a Bernie or whatever. 777 00:48:31,760 --> 00:48:34,800 Speaker 1: And he did like he did um the Step Brothers, 778 00:48:34,960 --> 00:48:37,399 Speaker 1: like the poster from Step Brothers with John c Riley 779 00:48:37,400 --> 00:48:40,520 Speaker 1: and Will Ferrell, but he swapped out Bernie's head and 780 00:48:40,640 --> 00:48:43,520 Speaker 1: John Federman like he swapped in Bernie and John Fetterman's 781 00:48:43,520 --> 00:48:46,719 Speaker 1: head and it said best friends and it's like John 782 00:48:46,760 --> 00:48:49,799 Speaker 1: Federman's head is so big in this photoshops image. It 783 00:48:49,840 --> 00:48:53,640 Speaker 1: looks so fucking bad. And then John Fetterman replied to 784 00:48:53,719 --> 00:48:56,759 Speaker 1: that fucking tweet that Doctor Oz did with like the 785 00:48:56,800 --> 00:48:59,640 Speaker 1: most meme ship were just like a rainbow gradient and 786 00:48:59,719 --> 00:49:03,160 Speaker 1: Calm mc sands that says, graphic design is my passion 787 00:49:03,360 --> 00:49:06,240 Speaker 1: with like a clip art kit and like crudely thrown 788 00:49:06,280 --> 00:49:09,200 Speaker 1: in the corner, and everyone like he's just getting fucking 789 00:49:09,480 --> 00:49:17,000 Speaker 1: Ratio constantly replies, but it's just so fun, like tying 790 00:49:17,160 --> 00:49:21,680 Speaker 1: him to a doctor or to Bernie Sanders or AOC. 791 00:49:22,000 --> 00:49:25,080 Speaker 1: He's like that ought to do it, and he keeps 792 00:49:25,200 --> 00:49:28,359 Speaker 1: getting more supportive. Then yeah, those show clips of when 793 00:49:28,440 --> 00:49:31,839 Speaker 1: he had Bernie on his fucking show. Yeah, and you're 794 00:49:31,880 --> 00:49:34,360 Speaker 1: like is this you also like what do you like? 795 00:49:34,440 --> 00:49:37,840 Speaker 1: What's the deal here? He also made a commercial, the 796 00:49:38,000 --> 00:49:40,279 Speaker 1: entire premise of which is that he doesn't have a 797 00:49:40,360 --> 00:49:43,920 Speaker 1: hurt condition. It's literally just a minute of Dr Oz 798 00:49:44,000 --> 00:49:49,960 Speaker 1: jogging and slow motion, like for real, Yeah, that's all 799 00:49:49,960 --> 00:49:52,680 Speaker 1: they did. They were like, look at this healthy sprime, motherfucker. 800 00:49:53,200 --> 00:49:57,600 Speaker 1: Yeah my god, it's there's you know, Jezebel has like 801 00:49:57,800 --> 00:50:01,440 Speaker 1: they have a fucking running list all the windmills that 802 00:50:01,800 --> 00:50:06,760 Speaker 1: like Vetterman's just put on Dr Oz on Twitter. Y. Yeah, 803 00:50:06,840 --> 00:50:10,880 Speaker 1: Like there's one where Vetterman made a mclovin drivers license 804 00:50:11,000 --> 00:50:14,160 Speaker 1: where it was clearly like that McK lovin meme, but 805 00:50:14,200 --> 00:50:19,440 Speaker 1: he just made it says Pennsylvanian driver license, driver license. 806 00:50:23,040 --> 00:50:26,600 Speaker 1: Oh man. I also just to circle back on like 807 00:50:26,719 --> 00:50:31,080 Speaker 1: the campaign money. I love Dr Oz's explanation of that, 808 00:50:31,160 --> 00:50:36,240 Speaker 1: where he's like, well, when Democrats are angry, they raised money, 809 00:50:36,320 --> 00:50:39,400 Speaker 1: and when Republicans are angry, they go mow their lawn. 810 00:50:39,880 --> 00:50:44,319 Speaker 1: I was like, what what are you talking about? Like, 811 00:50:44,680 --> 00:50:47,840 Speaker 1: you know, when they're angry, they go protest protests outside 812 00:50:47,840 --> 00:50:53,560 Speaker 1: of abortion clinics and it's horrible, Yes, and then get 813 00:50:53,600 --> 00:50:57,799 Speaker 1: away with this yeah, like just completely out of touch 814 00:50:57,840 --> 00:51:01,279 Speaker 1: with reality. Yeah, but I mean, who better than to 815 00:51:01,320 --> 00:51:04,040 Speaker 1: be there with Republican Senate candidate than a guy who 816 00:51:04,080 --> 00:51:08,319 Speaker 1: does like a I can jog fucking commercial. This is 817 00:51:08,360 --> 00:51:11,759 Speaker 1: going to be such a great testament too, or such 818 00:51:11,800 --> 00:51:14,360 Speaker 1: a great test of like the amount of money that 819 00:51:14,480 --> 00:51:18,600 Speaker 1: doctor Oz is spending on political consultants right now through 820 00:51:19,080 --> 00:51:26,640 Speaker 1: the day of the election is astronomical, and Federman truly 821 00:51:26,680 --> 00:51:31,879 Speaker 1: seems like it's him and his stones, like fourteen year 822 00:51:31,920 --> 00:51:35,240 Speaker 1: old cousin who is like running his social media feed 823 00:51:35,320 --> 00:51:39,080 Speaker 1: like it's just it. It's pretty like savvy, but savvy 824 00:51:39,080 --> 00:51:41,760 Speaker 1: and in a way of like he hired a handful 825 00:51:41,800 --> 00:51:44,920 Speaker 1: of very good ship posters to run his social media 826 00:51:45,000 --> 00:51:47,680 Speaker 1: campaign and he's like not doing that much else. I 827 00:51:47,760 --> 00:51:51,360 Speaker 1: can't imagine Oz will farewell in a in a debate 828 00:51:51,560 --> 00:51:54,640 Speaker 1: if that ever happens, but oh my god, yeah, I 829 00:51:54,640 --> 00:51:58,959 Speaker 1: can't imagine what that would look like. Yeah, it'll it'll 830 00:51:58,960 --> 00:52:01,279 Speaker 1: be interesting to see because I mean Oz does have 831 00:52:01,320 --> 00:52:04,799 Speaker 1: a lot of the advantages in the sense that he 832 00:52:04,960 --> 00:52:10,279 Speaker 1: is a household name, and Jon Fetterman is I think 833 00:52:10,320 --> 00:52:12,960 Speaker 1: the opposite of that, like for the most part heading 834 00:52:12,960 --> 00:52:16,360 Speaker 1: into the selection. I mean he has that leather jacket. 835 00:52:16,960 --> 00:52:25,920 Speaker 1: That's that's pretty cool. Anyways, Kirston, truly a pleasure having you. 836 00:52:26,040 --> 00:52:32,320 Speaker 1: We made it. We did it despite despite my tech glitches. 837 00:52:32,400 --> 00:52:36,080 Speaker 1: They didn't want us to record this podcast, but but 838 00:52:36,160 --> 00:52:38,200 Speaker 1: we did it anyways, and it was a it was 839 00:52:38,239 --> 00:52:41,080 Speaker 1: a true pleasure. Where can people find you follow you 840 00:52:41,120 --> 00:52:44,759 Speaker 1: all that good stuff? Yes, thank you, Oh my goodness. 841 00:52:44,800 --> 00:52:49,400 Speaker 1: So you can find us on Instagram at Boss Bitch Show. 842 00:52:50,080 --> 00:52:52,319 Speaker 1: That is our New York City stand up show that 843 00:52:52,360 --> 00:52:55,440 Speaker 1: we do the second Thursday of every month in the 844 00:52:55,480 --> 00:52:58,040 Speaker 1: West Village at the Comedy Shop. If you want to 845 00:52:58,040 --> 00:53:01,160 Speaker 1: see us live, come out and see that. A fem 846 00:53:01,239 --> 00:53:04,640 Speaker 1: forward l g B t q I, a bipoc show 847 00:53:05,280 --> 00:53:08,279 Speaker 1: and which is very atypical for New York City stand 848 00:53:08,320 --> 00:53:11,680 Speaker 1: up show. So you're into that sort of thing coming out. 849 00:53:12,080 --> 00:53:15,640 Speaker 1: And we have just launched our sister podcast, so it's 850 00:53:16,000 --> 00:53:20,600 Speaker 1: The Boss Bits Show podcast and we interview people and 851 00:53:20,800 --> 00:53:24,279 Speaker 1: have lots of fun and again super sex positive and 852 00:53:24,719 --> 00:53:29,040 Speaker 1: we love to talk about therapy and psychedelics and politics 853 00:53:29,080 --> 00:53:32,080 Speaker 1: and feminism and yeah, it's a good time. Yeah. I 854 00:53:32,080 --> 00:53:33,920 Speaker 1: think one of the one of the episodes you all 855 00:53:33,960 --> 00:53:37,000 Speaker 1: dropped last week was like always overbook a gang Bang 856 00:53:37,480 --> 00:53:41,000 Speaker 1: correct and it's a and it's a. Um, it's a 857 00:53:41,040 --> 00:53:50,360 Speaker 1: fair recommendation. Um always over fun practical, Yeah, practical advice. 858 00:53:50,800 --> 00:53:54,040 Speaker 1: So yeah, you can stream it wherever you stream them podcasts, 859 00:53:54,080 --> 00:53:58,080 Speaker 1: and yeah, we're pretty excited about it. Awesome. Is there 860 00:53:58,160 --> 00:54:00,720 Speaker 1: a tweet or some of the work of social media 861 00:54:00,760 --> 00:54:07,839 Speaker 1: you've been enjoying, oh, social media specifically, um, you've been 862 00:54:07,960 --> 00:54:11,319 Speaker 1: enjoying or anything. I mean, here's what I will say, 863 00:54:11,440 --> 00:54:15,520 Speaker 1: this is shameless, shameless promotion. But we were just in 864 00:54:16,000 --> 00:54:20,359 Speaker 1: the Guardian and like the print newspaper, which like when 865 00:54:20,440 --> 00:54:24,520 Speaker 1: does that ever happen? Like with a picture and everything. 866 00:54:25,160 --> 00:54:29,120 Speaker 1: So I thoroughly enjoyed seeing myself in a print newspaper. 867 00:54:29,160 --> 00:54:32,760 Speaker 1: I gotta say, it's Leo season, it's almost my birthday, 868 00:54:32,880 --> 00:54:35,880 Speaker 1: Like I'm allowed to just be obsessed with myself this month. 869 00:54:36,040 --> 00:54:40,319 Speaker 1: And that was that was very um satisfying. What they 870 00:54:40,440 --> 00:54:44,960 Speaker 1: named us August five? August five, all right, we're born 871 00:54:45,360 --> 00:54:48,080 Speaker 1: like a week apart and I have the same last name. 872 00:54:48,200 --> 00:54:56,799 Speaker 1: It's pretty crazy, I know. So I thoroughly enjoyed, Uh that, 873 00:54:56,920 --> 00:54:59,960 Speaker 1: I gotta say, very narcissistic, Lee and I did. They 874 00:55:00,080 --> 00:55:05,560 Speaker 1: named us top podcast of the week. Well, congratulations, thank you. Miles. 875 00:55:05,560 --> 00:55:07,840 Speaker 1: Where can people find you? What's a tweet you've been enjoying? 876 00:55:07,960 --> 00:55:12,440 Speaker 1: Oh Man? Twitter, Instagram at Miles of Gray. Look you 877 00:55:12,520 --> 00:55:15,279 Speaker 1: like basketball, checkout Miles and Jack got bad boostings. And 878 00:55:15,280 --> 00:55:17,399 Speaker 1: even if you don't like basketball, checkout Miles and Jack 879 00:55:17,440 --> 00:55:20,040 Speaker 1: got Matt boosts. Because guess what, Miles and Jack got 880 00:55:20,080 --> 00:55:22,360 Speaker 1: mad boost these Why don't you listen to it? On 881 00:55:22,360 --> 00:55:25,160 Speaker 1: the NBA has officially co signed. We have Matt Boost 882 00:55:25,880 --> 00:55:28,920 Speaker 1: and I can hit very but I hit it hard. 883 00:55:28,960 --> 00:55:30,880 Speaker 1: When we hit a million downloads, we will do a 884 00:55:30,960 --> 00:55:33,919 Speaker 1: dunk contest on live. We'll do that on i G Live. 885 00:55:34,000 --> 00:55:36,080 Speaker 1: You guys can vote on the day. So you've got 886 00:55:36,080 --> 00:55:39,320 Speaker 1: a lot of work to do a lot of review. 887 00:55:39,640 --> 00:55:42,600 Speaker 1: But actually, Jack, let me just alter that. We'll bring 888 00:55:42,640 --> 00:55:45,120 Speaker 1: the rim down to eight feet okay, so it's gonna 889 00:55:45,160 --> 00:55:49,080 Speaker 1: be a jam off. Okay. Also you can do check 890 00:55:49,120 --> 00:55:52,960 Speaker 1: me on Fiance where I talk ninety day Fiance, my 891 00:55:53,040 --> 00:55:57,880 Speaker 1: favorite trash reality show. Um a tweet that I like. 892 00:55:58,080 --> 00:55:59,719 Speaker 1: Let me see. I got a couple here and I 893 00:55:59,760 --> 00:56:01,840 Speaker 1: saw It's always funny when I look at ones, and 894 00:56:01,880 --> 00:56:03,680 Speaker 1: I'd like to see if Jack liked them too. I 895 00:56:03,719 --> 00:56:06,960 Speaker 1: stayed away from some of those ones because we always overlap. 896 00:56:07,320 --> 00:56:12,680 Speaker 1: Let me see, let me see, Okay. This one is 897 00:56:12,719 --> 00:56:16,400 Speaker 1: from trash Jones at jay Zucks tweeted micro dosing vacation 898 00:56:16,480 --> 00:56:20,360 Speaker 1: by disassociating at work. It's a very interesting way to 899 00:56:20,360 --> 00:56:22,920 Speaker 1: look at it. And there's other one that is just 900 00:56:23,040 --> 00:56:27,919 Speaker 1: a very heartwarming tweet. It's from docs Underscore gay Uh. 901 00:56:28,040 --> 00:56:30,680 Speaker 1: Their display name is Westworld Era with the pirate flag 902 00:56:30,920 --> 00:56:32,799 Speaker 1: it says me, and who for real? For real? And 903 00:56:32,840 --> 00:56:35,800 Speaker 1: it's this clip of someone looking into their pool skimmer 904 00:56:35,840 --> 00:56:37,759 Speaker 1: and they take the lid off and like there's like 905 00:56:37,800 --> 00:56:40,960 Speaker 1: a little like sponge floating thing and there's a little 906 00:56:41,000 --> 00:56:44,279 Speaker 1: tiny wet mouse and a frog just staying afloat on 907 00:56:44,320 --> 00:56:47,120 Speaker 1: its side by side, so like because they couldn't swim, 908 00:56:47,239 --> 00:56:50,000 Speaker 1: and it's just wild to see them together. Hey man, 909 00:56:50,040 --> 00:56:52,799 Speaker 1: when we're getting out of here, but they're chilling. Uh 910 00:56:52,920 --> 00:56:56,279 Speaker 1: So I did. I did really also enjoy that, And 911 00:56:56,320 --> 00:57:00,280 Speaker 1: I would a watch that Pixar film. There's just something 912 00:57:00,280 --> 00:57:03,319 Speaker 1: about a wet little mouse, a very calm next to 913 00:57:03,360 --> 00:57:06,040 Speaker 1: like a little bullfrog. It looks like sucking like a 914 00:57:06,120 --> 00:57:12,359 Speaker 1: child story book, but about the suburb exactly and immediately 915 00:57:12,440 --> 00:57:18,160 Speaker 1: option it. That sounds brilliant. Hey, I work for Disney. Yeah. 916 00:57:18,200 --> 00:57:20,720 Speaker 1: A couple of tweets I've been enjoying. Bill Garth's tweeted 917 00:57:21,080 --> 00:57:24,400 Speaker 1: hydrated Obama would be like, uh, let me be clear, 918 00:57:25,840 --> 00:57:31,640 Speaker 1: really construction has been doing the rounds. District Sentinel tweeted 919 00:57:31,760 --> 00:57:38,240 Speaker 1: like Vampire Weekend, Thank Vampire Unions and Matt be Tweets 920 00:57:38,360 --> 00:57:43,240 Speaker 1: sixty nine tweeted David Attenborough Voice the lonely stoner seems 921 00:57:43,280 --> 00:57:47,480 Speaker 1: to free his mind at night. That's the one, and 922 00:57:47,520 --> 00:57:50,600 Speaker 1: then that was the one you thought of, yea, and 923 00:57:50,640 --> 00:57:53,120 Speaker 1: then Fred Delicias just had the tweet I mentioned earlier, 924 00:57:53,200 --> 00:57:56,280 Speaker 1: the what's the funniest celebrity name if you swap their initials? 925 00:57:56,320 --> 00:58:01,520 Speaker 1: I'm torn between Wenzel Dashington and M Tanks And then 926 00:58:01,640 --> 00:58:05,840 Speaker 1: there the thread is just full of some great ship 927 00:58:06,120 --> 00:58:12,360 Speaker 1: Cradley Booper, snest Lee White like this could be its 928 00:58:12,360 --> 00:58:21,760 Speaker 1: own podcast, truly, Jane the dwok ronson Let's Go Anyways. 929 00:58:21,880 --> 00:58:24,960 Speaker 1: You can find me on Twitter at Jack Underscore O'Brien. 930 00:58:25,040 --> 00:58:27,280 Speaker 1: You can find us on Twitter at Daily Zeitgeist. Were 931 00:58:27,280 --> 00:58:30,200 Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook 932 00:58:30,200 --> 00:58:32,680 Speaker 1: fan page and a website, Daily Zeitgeist dot com. We 933 00:58:32,800 --> 00:58:35,880 Speaker 1: post our episodes on our foot note where we link 934 00:58:35,920 --> 00:58:39,080 Speaker 1: off to the information that we talked about today. Also, 935 00:58:39,400 --> 00:58:44,920 Speaker 1: go like and subscribe whatever and rate and review the podcast. 936 00:58:44,920 --> 00:58:47,680 Speaker 1: Has been maybe three years since we told you to 937 00:58:47,760 --> 00:58:51,680 Speaker 1: do that, but it's helpful if we do a terrible 938 00:58:51,840 --> 00:58:55,600 Speaker 1: job of our job as podcast hosts. But yeah, go 939 00:58:55,600 --> 00:58:58,440 Speaker 1: go give us a review. If you haven't already, make 940 00:58:58,520 --> 00:59:01,240 Speaker 1: it fun, We'll read it here if it's If it's 941 00:59:01,280 --> 00:59:06,960 Speaker 1: five stars, obviously, don't funk with me. Okay, I'm in 942 00:59:07,160 --> 00:59:09,960 Speaker 1: Any press is good press, right, yeah, I guess so, 943 00:59:10,080 --> 00:59:13,160 Speaker 1: just not in the Apple review. If you write for 944 00:59:13,200 --> 00:59:16,920 Speaker 1: a newspaper, come through with a wild review about how 945 00:59:16,960 --> 00:59:20,800 Speaker 1: we're like, you know, left wing and dangerous and yeah, 946 00:59:21,000 --> 00:59:23,440 Speaker 1: that would be great for us. Actually they're like pro 947 00:59:23,680 --> 00:59:27,800 Speaker 1: poor people or somewhere. Also on the footnotes, you can 948 00:59:27,840 --> 00:59:30,200 Speaker 1: find a song that we think you might enjoy, Miles, 949 00:59:30,240 --> 00:59:32,320 Speaker 1: what song do we think people might enjoy? Oh, this 950 00:59:32,440 --> 00:59:34,480 Speaker 1: is going to be if you like sir, and you 951 00:59:34,520 --> 00:59:40,480 Speaker 1: know the song Devils Are Good well Away. That's actually 952 00:59:40,480 --> 00:59:42,920 Speaker 1: a sample of this track you're about to hear if 953 00:59:42,960 --> 00:59:45,080 Speaker 1: you choose to go seek it out. It's by Billy 954 00:59:45,200 --> 00:59:48,280 Speaker 1: Boyo and it's called One Spliff a Day and it's 955 00:59:48,280 --> 00:59:50,680 Speaker 1: a great, like, you know, reggae track from like the 956 00:59:50,760 --> 00:59:53,680 Speaker 1: late eighties. He was thirteen when he made this track 957 00:59:54,040 --> 00:59:56,840 Speaker 1: and only had a very short career and like I 958 00:59:56,880 --> 01:00:00,640 Speaker 1: think passed away in his early thirties. But this track 959 01:00:00,760 --> 01:00:03,959 Speaker 1: is just it's just fantastic. It's Friday's enjoy yourself Billy 960 01:00:04,080 --> 01:00:10,080 Speaker 1: Boyle once, Yeah, enjoy the weekend everyone, Yeah, alright, well, 961 01:00:10,160 --> 01:00:12,200 Speaker 1: The Daily Zyka is a production of I Heart Radio. 962 01:00:12,200 --> 01:00:14,480 Speaker 1: For more podcast for my heart radio, visit the heart 963 01:00:14,520 --> 01:00:17,040 Speaker 1: Radio app, Apple podcast, or wherever you listen to your 964 01:00:17,080 --> 01:00:20,680 Speaker 1: favorite shows. That is gonna do it for us this morning, 965 01:00:20,680 --> 01:00:23,640 Speaker 1: but we're back this afternoon to tell you what is 966 01:00:23,680 --> 01:00:27,880 Speaker 1: trending and send you off into the weekend and we 967 01:00:27,880 --> 01:00:31,160 Speaker 1: will talk to you all day. Bye bye