1 00:00:00,240 --> 00:00:03,360 Speaker 1: Hello the Internet, and welcome to season two or four, 2 00:00:03,400 --> 00:00:08,880 Speaker 1: episode two of Guys, the production of My Heart Radio. 3 00:00:09,000 --> 00:00:10,600 Speaker 1: This is the podcast where we take a deep dive 4 00:00:10,640 --> 00:00:17,040 Speaker 1: into America's shared consciousness. And it's Tuesday, September. My name 5 00:00:17,400 --> 00:00:21,600 Speaker 1: is Jack O'Brien, a k who baby. Do you know 6 00:00:21,680 --> 00:00:27,480 Speaker 1: what comes worth on that semens? Like gold? The perverts? 7 00:00:27,960 --> 00:00:32,600 Speaker 1: That is courtesy of the Man, the Myth, the Man Christy. 8 00:00:32,680 --> 00:00:36,280 Speaker 1: I'm a Gucci man, uh and I'm thrilled to be 9 00:00:36,360 --> 00:00:42,360 Speaker 1: joined as always by my co host Mr Miles. Got 10 00:00:42,360 --> 00:00:45,200 Speaker 1: no Comma origin now, I got no Comma region now 11 00:00:45,560 --> 00:00:48,920 Speaker 1: all vaccine A did no Comma region now? Uh. And 12 00:00:49,080 --> 00:00:53,400 Speaker 1: that's a fucking o g track from three eleven come original. 13 00:00:54,040 --> 00:00:57,200 Speaker 1: But again we can tell that clearly we can't get 14 00:00:57,240 --> 00:01:00,800 Speaker 1: over the vaccine semen conspiracy theory in any of the 15 00:01:00,880 --> 00:01:07,400 Speaker 1: ak so uh yeah long maide, last shout out at 16 00:01:08,640 --> 00:01:12,160 Speaker 1: uh eat the rich Jefferson for that one. Yeah yeah. 17 00:01:12,360 --> 00:01:14,800 Speaker 1: Did you say something about crypto. There's like a crypto 18 00:01:14,880 --> 00:01:17,119 Speaker 1: thing going well, because I remember like that story came 19 00:01:17,160 --> 00:01:20,360 Speaker 1: out because of like everyone's like idea of crypto and 20 00:01:20,400 --> 00:01:23,160 Speaker 1: like the sentiments of getting rich very quickly was like 21 00:01:23,160 --> 00:01:26,160 Speaker 1: one of the big things fueling people. It was going 22 00:01:26,440 --> 00:01:29,240 Speaker 1: with the new crypto because I was confused by Christie. 23 00:01:29,240 --> 00:01:33,280 Speaker 1: I'm Gucci Man, brilliant as always, but it's his aka 24 00:01:33,640 --> 00:01:38,560 Speaker 1: today suggests that unbacked semen is being collected by perverts, 25 00:01:38,600 --> 00:01:41,360 Speaker 1: not just people who are hoping to use it to 26 00:01:41,400 --> 00:01:44,880 Speaker 1: repopulate the earth after people have their head in the 27 00:01:44,959 --> 00:01:51,640 Speaker 1: financial market. Right exactly. Uh well, Miles, We are thrilled 28 00:01:51,680 --> 00:01:54,760 Speaker 1: to be joined in our third seat by They're quickly 29 00:01:54,800 --> 00:01:58,840 Speaker 1: becoming one of the favorite regulars on this podcast. They're 30 00:01:58,880 --> 00:02:03,240 Speaker 1: the brilliant, talented poet and podcaster behind the fascinating American 31 00:02:03,320 --> 00:02:09,320 Speaker 1: Hysteria Podcast. Please welcome the brilliant, the talented Chelsea Weber Smith. 32 00:02:11,040 --> 00:02:14,160 Speaker 1: You're too kind, Jack, Thank you very much. I appreciate it. 33 00:02:14,200 --> 00:02:17,400 Speaker 1: I'm so happy to be here as always, always so 34 00:02:17,480 --> 00:02:21,639 Speaker 1: happy to have you. Yeah. I think I've said this before, 35 00:02:21,680 --> 00:02:24,280 Speaker 1: but when I see that you are the guests, I 36 00:02:24,280 --> 00:02:26,760 Speaker 1: have a little not nothing against other guests, but I'm 37 00:02:26,800 --> 00:02:30,840 Speaker 1: just like, hell, yeah, you know, I'm going to bring 38 00:02:30,880 --> 00:02:38,119 Speaker 1: you the weirdest facts he didn't know before. Let's talk hysteria, baby. Yeah, 39 00:02:38,120 --> 00:02:40,239 Speaker 1: that's a good time, all right, Chelsea, We're going to 40 00:02:40,320 --> 00:02:42,560 Speaker 1: get to know you a little bit better in a moment. First, 41 00:02:42,840 --> 00:02:46,639 Speaker 1: a few of the things we're talking about, the unvaxed 42 00:02:46,639 --> 00:02:49,400 Speaker 1: have really taken over taken over the Zeke guys. We're 43 00:02:49,400 --> 00:02:53,560 Speaker 1: gonna talk about the hunt for jobs among the unbacked. 44 00:02:54,240 --> 00:02:57,520 Speaker 1: We're gonna talk about Sara Sota, Florida becoming kind of 45 00:02:57,560 --> 00:03:02,600 Speaker 1: the conspiracy capital of the US. And part of the 46 00:03:02,600 --> 00:03:07,079 Speaker 1: reason that Sarah Sota is so hot right now among 47 00:03:07,160 --> 00:03:12,000 Speaker 1: the conspiracy theorists is Michael Flynn lives there. So we're 48 00:03:12,000 --> 00:03:15,040 Speaker 1: going to check in with one of his misunderstandings of 49 00:03:15,120 --> 00:03:18,119 Speaker 1: a story that we recently covered. We're gonna talk about 50 00:03:18,160 --> 00:03:22,919 Speaker 1: how power protects itself. We're gonna talk about the fact 51 00:03:22,919 --> 00:03:27,960 Speaker 1: that employers are finally realizing or finally admitting that drug 52 00:03:27,960 --> 00:03:30,840 Speaker 1: testing is dumb. And we are going to look at 53 00:03:30,880 --> 00:03:37,280 Speaker 1: the real motive behind all those celebrity themed fast food meals, 54 00:03:37,320 --> 00:03:39,800 Speaker 1: not to give the fans something they love and enjoy. 55 00:03:39,840 --> 00:03:42,880 Speaker 1: I mean, you know, a true capitalist would argue that 56 00:03:42,880 --> 00:03:46,920 Speaker 1: that is, you know, the goal behind everything that. You know, 57 00:03:47,000 --> 00:03:51,600 Speaker 1: we're just trying to delight our consumers in public and 58 00:03:51,600 --> 00:03:56,000 Speaker 1: then in private, like those consumers, give me, give me 59 00:03:56,080 --> 00:04:00,200 Speaker 1: that data, give me that sweet data. Uh all right, 60 00:04:00,960 --> 00:04:03,600 Speaker 1: but before we get to that, Chelsea, we do like 61 00:04:03,680 --> 00:04:08,120 Speaker 1: to ask our guest, what is something from your search history? Oh, 62 00:04:08,160 --> 00:04:11,200 Speaker 1: this is a fun one. So, uh, we're coming our 63 00:04:11,240 --> 00:04:14,080 Speaker 1: shows coming back in October, so we wanted to start 64 00:04:14,080 --> 00:04:17,520 Speaker 1: on a Halloween note. Uh. And so do you guys 65 00:04:17,560 --> 00:04:20,000 Speaker 1: know I'm sure you know a little bit about extreme 66 00:04:20,080 --> 00:04:24,600 Speaker 1: haunted houses. M yes, just let broadly let people know 67 00:04:24,640 --> 00:04:29,160 Speaker 1: what an extreme haunted yes, because that's for we love 68 00:04:29,200 --> 00:04:34,360 Speaker 1: haunted houses around here. Haunted house. You have a haunted house, 69 00:04:34,360 --> 00:04:37,320 Speaker 1: but you hate a jump scare. Yeah, it's surprising. Yeah. 70 00:04:37,920 --> 00:04:39,880 Speaker 1: The ultimately, when I walked to a haunted house, it's 71 00:04:39,920 --> 00:04:42,000 Speaker 1: like my adrenaline so up. Like I act like I 72 00:04:42,120 --> 00:04:43,720 Speaker 1: just walked into prison the first day, and I'm like, 73 00:04:43,800 --> 00:04:50,280 Speaker 1: what's so I know that's going to move it? Did 74 00:04:51,839 --> 00:04:54,880 Speaker 1: hiding from you? Yeah, and it's like, no one wants 75 00:04:54,920 --> 00:04:56,880 Speaker 1: to do it with me. They're like, dude, like you 76 00:04:56,880 --> 00:04:59,480 Speaker 1: don't have you soundly you actually seem really uncomfortable in here. 77 00:04:59,480 --> 00:05:00,800 Speaker 1: I'm like no, and I'm good. And that was the 78 00:05:00,839 --> 00:05:03,800 Speaker 1: next One's most comfortable I've ever been because I know 79 00:05:03,880 --> 00:05:07,200 Speaker 1: that's somebody under that sheet. I went through a haunted 80 00:05:07,240 --> 00:05:09,600 Speaker 1: house last let's see, it was right before the pandemic, 81 00:05:09,680 --> 00:05:12,560 Speaker 1: so the Halloween before and uh we I went with 82 00:05:12,600 --> 00:05:15,560 Speaker 1: my girlfriend who's very scared of haunted houses. And of 83 00:05:15,560 --> 00:05:16,960 Speaker 1: course it was just her and I. You know, when 84 00:05:17,000 --> 00:05:18,520 Speaker 1: you have a group, you've kind of got this like 85 00:05:18,680 --> 00:05:21,200 Speaker 1: layer of protection, and if it's just two people, like 86 00:05:21,320 --> 00:05:25,000 Speaker 1: they're they're on you. And uh. She had to exit 87 00:05:25,640 --> 00:05:28,640 Speaker 1: on the house into like the special cast area where 88 00:05:28,680 --> 00:05:32,120 Speaker 1: injured people go to sit on hay bale's and paper, 89 00:05:32,560 --> 00:05:35,120 Speaker 1: you know, someone to take them out. Uh. And I 90 00:05:35,160 --> 00:05:38,200 Speaker 1: finished it. I came back out, and then there was 91 00:05:38,200 --> 00:05:40,560 Speaker 1: a second haunted house, and I decided to go through 92 00:05:40,600 --> 00:05:42,800 Speaker 1: a loan because I had paid and I wanted this 93 00:05:42,839 --> 00:05:45,080 Speaker 1: was a clown themed one. I wasn't going to not go. 94 00:05:45,440 --> 00:05:48,039 Speaker 1: I decided not to go through alone because I thought 95 00:05:48,080 --> 00:05:53,520 Speaker 1: I would creep out the actual workers inside up person 96 00:05:53,680 --> 00:05:58,320 Speaker 1: going through. Yeah, going through alone, um, but that was 97 00:05:58,440 --> 00:06:02,159 Speaker 1: really horrifying. I claw. I globbed onto some high schoolers 98 00:06:02,320 --> 00:06:05,160 Speaker 1: and I was like, hey, can I go through? They 99 00:06:05,200 --> 00:06:08,599 Speaker 1: were very nice? Yeah, they were and I was like, great, 100 00:06:09,520 --> 00:06:11,919 Speaker 1: I can go. They don't really uh, they don't really 101 00:06:12,200 --> 00:06:14,880 Speaker 1: phasee me too much. But an extreme haunted house. I 102 00:06:14,880 --> 00:06:18,160 Speaker 1: would not do um. And the premise of those is 103 00:06:18,200 --> 00:06:20,520 Speaker 1: that they can do ship like you sign a waiver. 104 00:06:20,720 --> 00:06:24,400 Speaker 1: They can waterboard you. They can shove disgusting ship in 105 00:06:24,440 --> 00:06:28,239 Speaker 1: your mouth. They can you know, assault you, put bags 106 00:06:28,279 --> 00:06:30,880 Speaker 1: over your head, drag you into another room. You know, 107 00:06:31,000 --> 00:06:34,360 Speaker 1: you might leave with bruises bloodied. You know, they can 108 00:06:34,360 --> 00:06:35,839 Speaker 1: put your head in a cage and put like a 109 00:06:35,920 --> 00:06:40,039 Speaker 1: fucking spider in there. You know. It's like very stream, 110 00:06:40,600 --> 00:06:43,520 Speaker 1: you know, super fun, like it does border on what 111 00:06:43,600 --> 00:06:47,640 Speaker 1: appears to be some kind of fetish scenario. Um, but 112 00:06:47,720 --> 00:06:50,760 Speaker 1: it's like very uh. They you know, people who are 113 00:06:50,760 --> 00:06:53,160 Speaker 1: into them will say that it's not the case. It's 114 00:06:53,200 --> 00:06:55,320 Speaker 1: hard to sort of divorce some of the images that 115 00:06:55,360 --> 00:07:01,159 Speaker 1: you see, but really really, yeah, the the real money 116 00:07:01,160 --> 00:07:03,440 Speaker 1: that they make on those is from the you know, 117 00:07:03,720 --> 00:07:07,680 Speaker 1: rich guys masturbating behind a two way mirror, well you know, 118 00:07:09,800 --> 00:07:14,320 Speaker 1: you know Jack Apparently McCamy manner uh takes their video 119 00:07:14,400 --> 00:07:18,680 Speaker 1: and projects that over into Las Vegas, where people are 120 00:07:18,720 --> 00:07:23,240 Speaker 1: paying money to decide what happens to these people. Okay, 121 00:07:23,720 --> 00:07:29,440 Speaker 1: but this is fucking bullshit. Of course this isn't true. Yeah, 122 00:07:29,480 --> 00:07:33,600 Speaker 1: Like there are rich you know mysterious shrouded elitists in 123 00:07:33,720 --> 00:07:36,240 Speaker 1: Las Vegas who are you know, kind of like a 124 00:07:36,240 --> 00:07:39,680 Speaker 1: snuff film type crowd who are paying money to kind 125 00:07:39,680 --> 00:07:43,520 Speaker 1: of decide or watch, you know, what happens to these 126 00:07:43,560 --> 00:07:47,000 Speaker 1: these people. But it's not true. You know what. What's 127 00:07:47,040 --> 00:07:50,200 Speaker 1: so the coolest part about these haunted houses is that 128 00:07:50,240 --> 00:07:53,840 Speaker 1: the waiver is total bullshit. The you know, you can't 129 00:07:53,880 --> 00:07:57,400 Speaker 1: have a waiver that says you can die in this 130 00:07:57,520 --> 00:08:00,480 Speaker 1: haunted house, you know, yeah, and it's like and you 131 00:08:00,520 --> 00:08:02,520 Speaker 1: can sign it, but that does not protect these people 132 00:08:02,560 --> 00:08:05,480 Speaker 1: from legal consequences. It's just not It's not true. So 133 00:08:05,480 --> 00:08:08,240 Speaker 1: so much what I'm trying to do right now and 134 00:08:08,280 --> 00:08:10,440 Speaker 1: what we do on the show is kind of separate 135 00:08:10,640 --> 00:08:13,560 Speaker 1: fact from fiction, right And it does seem that a 136 00:08:13,600 --> 00:08:16,320 Speaker 1: lot of these fonded houses are a lot of smoke 137 00:08:16,400 --> 00:08:19,840 Speaker 1: and mirrors, and that a lot of what is making 138 00:08:19,840 --> 00:08:23,200 Speaker 1: money for these folks are their video walkthroughs on YouTube. 139 00:08:23,240 --> 00:08:25,760 Speaker 1: They get millions and millions and millions of watches because 140 00:08:25,800 --> 00:08:28,760 Speaker 1: they McCamy manner is free. You just have to bring 141 00:08:28,840 --> 00:08:32,520 Speaker 1: a donation of dog food. And so, you know, has 142 00:08:32,600 --> 00:08:35,000 Speaker 1: this mystique of like the guy who runs at Russ 143 00:08:35,040 --> 00:08:37,000 Speaker 1: McKamy and all of the people who work there. They're 144 00:08:37,000 --> 00:08:39,800 Speaker 1: not being paid, which adds this other layer right where 145 00:08:39,840 --> 00:08:42,000 Speaker 1: it's like they have to want to do this ship, 146 00:08:42,360 --> 00:08:45,520 Speaker 1: but it's all kind of like it's it's just like 147 00:08:45,559 --> 00:08:48,520 Speaker 1: they're these fake documentaries that are made and put up. 148 00:08:48,559 --> 00:08:51,320 Speaker 1: There's these fake testimonials. It seems it's so hard to 149 00:08:51,320 --> 00:08:53,560 Speaker 1: pick out fact from fiction. I'm going deep into like 150 00:08:53,640 --> 00:08:56,640 Speaker 1: these interviews with his fucking ex wife and like these 151 00:08:56,679 --> 00:09:00,600 Speaker 1: really yanking little YouTube accounts that are like exposing the manner. 152 00:09:00,720 --> 00:09:03,680 Speaker 1: And it's so full of outrage because so many people 153 00:09:03,880 --> 00:09:06,760 Speaker 1: are so outraged. Right, there's a whole petition to get 154 00:09:06,760 --> 00:09:09,920 Speaker 1: it taken down. It may be possible that the petition 155 00:09:10,040 --> 00:09:13,000 Speaker 1: was created by McCamy manor you know. So it's sort 156 00:09:13,040 --> 00:09:18,160 Speaker 1: of this like amazing like Blair witche in uh tactics 157 00:09:18,280 --> 00:09:20,640 Speaker 1: to to make this place. And you know, they say 158 00:09:20,640 --> 00:09:24,480 Speaker 1: there's like a twenty or forty thousand person waiting list, 159 00:09:24,520 --> 00:09:28,040 Speaker 1: which is also not true. Um, you know, so there's 160 00:09:28,120 --> 00:09:30,840 Speaker 1: it's it's really a fun kind of project to take 161 00:09:30,880 --> 00:09:34,760 Speaker 1: these haunted houses and dissect just what is a hoax? 162 00:09:35,080 --> 00:09:37,559 Speaker 1: Because there's also an example of somebody I can't remember 163 00:09:37,559 --> 00:09:41,520 Speaker 1: who it was, some Internet famous TikTok or something personality 164 00:09:41,600 --> 00:09:44,760 Speaker 1: who went and filmed their experience and it was basically 165 00:09:44,800 --> 00:09:48,240 Speaker 1: just like crawling around with a blindfold on in the 166 00:09:48,320 --> 00:09:52,240 Speaker 1: backyard with someone yelling you know horrible things that you 167 00:09:52,400 --> 00:09:54,960 Speaker 1: and that was really and you're blindfolded and being sprayed 168 00:09:55,000 --> 00:09:56,600 Speaker 1: with water and you don't really know where you are. 169 00:09:56,720 --> 00:09:59,520 Speaker 1: That's terrifying, but you know it's it's not the same 170 00:09:59,559 --> 00:10:02,320 Speaker 1: thing as what we're seeing in the videos. Um So 171 00:10:02,400 --> 00:10:06,240 Speaker 1: that's really a that's a My search history has been late. 172 00:10:06,920 --> 00:10:12,720 Speaker 1: This is the um the this one started in San Diego, right, Okay. 173 00:10:13,040 --> 00:10:16,200 Speaker 1: I remember in the early years of it, like I 174 00:10:16,240 --> 00:10:18,920 Speaker 1: remember seeing like the videos that they would put out 175 00:10:18,960 --> 00:10:22,000 Speaker 1: because I remember, like back when stumble Upon was a 176 00:10:22,080 --> 00:10:27,320 Speaker 1: huge plug in for people's browsers, Like remember that, I 177 00:10:27,360 --> 00:10:30,920 Speaker 1: haven't thought of stumble Upon. And ye know that ship 178 00:10:31,080 --> 00:10:33,280 Speaker 1: used to take me all over the Internet, and I 179 00:10:33,320 --> 00:10:36,680 Speaker 1: remember coming across a video of it and it was 180 00:10:36,720 --> 00:10:39,000 Speaker 1: truly like you had never seen anything like it, Like 181 00:10:39,040 --> 00:10:42,360 Speaker 1: people were just like vomiting, choking, and you're like, oh ship, 182 00:10:42,559 --> 00:10:45,400 Speaker 1: and You're like and it's like the most extreme haunted house. 183 00:10:45,480 --> 00:10:49,040 Speaker 1: I didn't realize that it had still been evolving past 184 00:10:49,200 --> 00:10:52,680 Speaker 1: like that sort of initial I don't know. Yeah, they'll 185 00:10:52,720 --> 00:10:55,000 Speaker 1: be like, you know, veterans of war that are just 186 00:10:55,120 --> 00:10:58,360 Speaker 1: weeping for their mother, and it was like the whole thing. 187 00:10:58,440 --> 00:11:00,720 Speaker 1: All those videos are like, dude, it may this navy 188 00:11:00,800 --> 00:11:05,920 Speaker 1: seal poop himself. Yeah, it's so hard to pick apart 189 00:11:06,040 --> 00:11:07,920 Speaker 1: what's real and what's not, which is really fun. The 190 00:11:07,960 --> 00:11:13,000 Speaker 1: Blackout Experiments is another is a documentary from that's really 191 00:11:13,040 --> 00:11:15,640 Speaker 1: good about a bunch of people kind of grappling with 192 00:11:15,640 --> 00:11:19,000 Speaker 1: their relationship and addiction to these places um, which is 193 00:11:19,000 --> 00:11:21,319 Speaker 1: a great example of also sort of not being able 194 00:11:21,360 --> 00:11:26,559 Speaker 1: to figure out how much of the documentary is manufactured. Yeah, 195 00:11:26,840 --> 00:11:31,679 Speaker 1: there's all sorts of ways that we um manufacture ways 196 00:11:31,720 --> 00:11:37,120 Speaker 1: to get like contact with other people. I feel like 197 00:11:37,160 --> 00:11:40,200 Speaker 1: this might be one where people like, instead of living 198 00:11:40,240 --> 00:11:44,400 Speaker 1: in tight knit communities where you like hold hands when 199 00:11:44,400 --> 00:11:47,560 Speaker 1: you pray or whatever you people used to do, Uh, 200 00:11:47,720 --> 00:11:50,720 Speaker 1: now they like go to have people jump out and 201 00:11:50,760 --> 00:11:55,200 Speaker 1: like tackle them just to feel a human touch. Did 202 00:11:55,200 --> 00:11:58,160 Speaker 1: you did you see that story about the guy who 203 00:11:58,400 --> 00:12:00,600 Speaker 1: like at a haunted house over the weekend he stabbed 204 00:12:00,640 --> 00:12:06,440 Speaker 1: a little boy in the foot on accident. Well, in Yeah, 205 00:12:06,679 --> 00:12:10,320 Speaker 1: like somehow had a knife and then like I guess, 206 00:12:10,520 --> 00:12:14,880 Speaker 1: something happened and the this person ended up like hitting 207 00:12:14,880 --> 00:12:17,480 Speaker 1: this kid in the foot with his knife. So was 208 00:12:17,559 --> 00:12:20,600 Speaker 1: he working there or was he going through it? Um? 209 00:12:20,640 --> 00:12:24,680 Speaker 1: I believe it's like one of the characters, you have 210 00:12:24,720 --> 00:12:27,200 Speaker 1: a real knife. Yeah, and I think what they said. 211 00:12:27,240 --> 00:12:29,440 Speaker 1: He was scraping the knife on the ground and playing 212 00:12:29,440 --> 00:12:31,840 Speaker 1: around them, and my son said, ahead, I'm not afraid 213 00:12:31,840 --> 00:12:34,360 Speaker 1: your knife is fake. So the man was like, oh, 214 00:12:34,480 --> 00:12:37,080 Speaker 1: it's real, trust me, it's real, and that's when he 215 00:12:37,120 --> 00:12:40,400 Speaker 1: started poking it at his feet multiple times until he stabbed. 216 00:12:41,679 --> 00:12:46,480 Speaker 1: And this is for this is definitely true. Yeah, it's yeah, 217 00:12:46,520 --> 00:12:50,120 Speaker 1: it's being I mean unless the report because because you know, 218 00:12:50,240 --> 00:12:53,280 Speaker 1: part of it is to like get people so interested 219 00:12:53,280 --> 00:12:55,280 Speaker 1: and thinks like now they're gonna go because that whole 220 00:12:55,360 --> 00:12:58,960 Speaker 1: Nathan for You episode was about the challenge was creating 221 00:12:58,960 --> 00:13:01,760 Speaker 1: a haunted house so scary that you get sued was 222 00:13:01,800 --> 00:13:04,800 Speaker 1: like that point in order to generate interest, and so 223 00:13:04,960 --> 00:13:06,920 Speaker 1: it could be along those lines, but it is along 224 00:13:06,960 --> 00:13:09,520 Speaker 1: those lines. I bet this person was given a prop 225 00:13:10,120 --> 00:13:12,000 Speaker 1: he thought was a prop and it was a really 226 00:13:12,080 --> 00:13:15,400 Speaker 1: really bladed It's a fantastic example too, of how ship 227 00:13:15,440 --> 00:13:17,560 Speaker 1: gets repeated because like you go to the Wikipedia page 228 00:13:17,640 --> 00:13:19,880 Speaker 1: or any news outlet and it just repeats what Russ 229 00:13:19,920 --> 00:13:23,040 Speaker 1: mckamey says. It says there's a forty person waiting list 230 00:13:23,080 --> 00:13:24,520 Speaker 1: and ball and it's all just like you could just 231 00:13:24,600 --> 00:13:27,600 Speaker 1: say something. It's a good example of that, and people 232 00:13:27,640 --> 00:13:31,160 Speaker 1: try to him too scary. I don't even know if 233 00:13:31,240 --> 00:13:33,200 Speaker 1: it's like because everybody who comes out of it on 234 00:13:33,240 --> 00:13:35,720 Speaker 1: the real walkout videos is like, that was a lot 235 00:13:35,800 --> 00:13:37,839 Speaker 1: of fun, that it was crazy. You know, They're not 236 00:13:37,920 --> 00:13:41,880 Speaker 1: like I'm gonna sue you. I am. I have PTSD 237 00:13:42,120 --> 00:13:45,280 Speaker 1: because I was assaulted, you know, which is essentially like 238 00:13:45,480 --> 00:13:51,200 Speaker 1: emergency like foil blanket exactly up a good action movie, Yes, yep, 239 00:13:51,480 --> 00:13:57,080 Speaker 1: like Rose Dawson at the end of Titanic. Kelsey, what 240 00:13:57,160 --> 00:14:00,280 Speaker 1: is something you think is overrated? Well, I think that 241 00:14:00,320 --> 00:14:03,480 Speaker 1: it would be the rating system of Rotten Tomatoes. And 242 00:14:03,520 --> 00:14:06,720 Speaker 1: I'm gonna say, I know I'm coming. I'm just pissed 243 00:14:06,720 --> 00:14:09,400 Speaker 1: because I love Nine Perfect Strangers. Did you guys watch this? 244 00:14:09,640 --> 00:14:12,880 Speaker 1: Nicole Kidneys finished it last night? Actually, did you like it? 245 00:14:13,760 --> 00:14:19,040 Speaker 1: I did not like the directing of the last episode. Yeah, absolutely, 246 00:14:19,200 --> 00:14:21,720 Speaker 1: I enjoyed the ride totally. Just the ending kind of 247 00:14:21,760 --> 00:14:25,120 Speaker 1: like took a real hard turn suddenly, and I was like, 248 00:14:25,920 --> 00:14:28,360 Speaker 1: I didn't know what this was about, but I thought 249 00:14:28,400 --> 00:14:31,920 Speaker 1: I was on a different ride. Yeah, yes, yes, yes, 250 00:14:31,960 --> 00:14:34,080 Speaker 1: and I bet we want We're not allowed to talk 251 00:14:34,080 --> 00:14:38,280 Speaker 1: about it, I know, spoilers, but I had a great time. 252 00:14:38,360 --> 00:14:40,800 Speaker 1: I know, Miles that you appreciate a little bit of 253 00:14:40,840 --> 00:14:43,840 Speaker 1: trash sprinkled into your life. And I think it was 254 00:14:43,880 --> 00:14:48,360 Speaker 1: a fantastic example of like great story. The message was weird. 255 00:14:48,440 --> 00:14:50,320 Speaker 1: I don't care really about that, but it got a 256 00:14:50,400 --> 00:14:54,280 Speaker 1: sixty on rat Tomatoes. I don't think that's fair. It 257 00:14:54,400 --> 00:14:57,040 Speaker 1: makes me angry because then I look back, you know, 258 00:14:57,200 --> 00:14:59,520 Speaker 1: and I'm sure I'm I wouldn't be surprised if this 259 00:14:59,600 --> 00:15:03,080 Speaker 1: was common knowledge for you guys. But Birth the Birth 260 00:15:03,120 --> 00:15:07,400 Speaker 1: of a Nation, that fantastic kind of KKK propaganda film 261 00:15:07,480 --> 00:15:10,760 Speaker 1: that came out in the twenties tomatoes score yeah, and 262 00:15:10,800 --> 00:15:15,440 Speaker 1: you do not want to know what it is because 263 00:15:15,480 --> 00:15:19,640 Speaker 1: it's a revolution in filmmaking. Okay, it's not about the 264 00:15:19,720 --> 00:15:25,000 Speaker 1: content anyway. So that's my takedown today. It sounds like 265 00:15:25,760 --> 00:15:28,560 Speaker 1: like a Confederate War memorial argument. It's like it's not 266 00:15:28,640 --> 00:15:32,800 Speaker 1: about the person, Okay, that they were who stood up 267 00:15:32,840 --> 00:15:40,400 Speaker 1: for their community against all odds and decided to anyway. Yeah, 268 00:15:39,840 --> 00:15:43,520 Speaker 1: yeah it's racist, all right, you go, yep ye, Rod Tomatoes. 269 00:15:45,160 --> 00:15:47,960 Speaker 1: I just often angry. I'm often angry at what was like, 270 00:15:48,040 --> 00:15:50,080 Speaker 1: you know, because sometimes it will like aggregate like sort 271 00:15:50,120 --> 00:15:52,520 Speaker 1: of the top comments or review sort of like extra 272 00:15:52,600 --> 00:15:55,040 Speaker 1: like the extract certain what was like the main great 273 00:15:55,120 --> 00:15:57,040 Speaker 1: people had with it? Not to say like I'm like whatever, 274 00:15:57,120 --> 00:15:59,560 Speaker 1: I think whatever you want to Yeah, I mean it's 275 00:15:59,600 --> 00:16:01,880 Speaker 1: a ton there. What if there was a theme to 276 00:16:02,000 --> 00:16:06,520 Speaker 1: what it was just a lot of like it was bad, 277 00:16:06,840 --> 00:16:10,200 Speaker 1: like her Wig was bad, you know that it was boring, 278 00:16:10,280 --> 00:16:12,320 Speaker 1: which I found it to not be boring at all. 279 00:16:12,520 --> 00:16:14,200 Speaker 1: I don't know, it was just kind of a typical 280 00:16:14,720 --> 00:16:16,880 Speaker 1: it just I don't know, I don't buy it. I 281 00:16:16,920 --> 00:16:20,200 Speaker 1: think that people just want to, like critics, they just 282 00:16:20,280 --> 00:16:24,640 Speaker 1: want to be not nosed sometimes and and they just 283 00:16:24,680 --> 00:16:28,360 Speaker 1: can't take a little trash man. The critics consensus. A 284 00:16:28,440 --> 00:16:33,320 Speaker 1: meandering mystery may muddle it's impact, but strong performances across 285 00:16:33,360 --> 00:16:37,760 Speaker 1: the board from this eclectic ensemble mean nine Perfect Strangers 286 00:16:37,960 --> 00:16:42,280 Speaker 1: is never less than watchable. All Right, that's all. Right, 287 00:16:42,680 --> 00:16:46,880 Speaker 1: I don't fully disagree with that. Yeah, what's something you 288 00:16:46,880 --> 00:16:50,800 Speaker 1: think is underrated? Oh boy, let's see. Um, I'm going 289 00:16:50,840 --> 00:16:53,920 Speaker 1: to say the library because I got to go back 290 00:16:53,920 --> 00:16:58,360 Speaker 1: to the library in person finally after restrictions were lifted, 291 00:16:58,400 --> 00:17:01,680 Speaker 1: and I just got to sit there quietly in a 292 00:17:01,800 --> 00:17:05,760 Speaker 1: quiet room with other you know, different types of people. 293 00:17:06,000 --> 00:17:08,359 Speaker 1: And I think it's like kind of like the last 294 00:17:08,760 --> 00:17:12,560 Speaker 1: intimate public meeting space that's free to sit in for 295 00:17:12,600 --> 00:17:14,600 Speaker 1: as long as you want. And you know, if you're 296 00:17:14,640 --> 00:17:17,120 Speaker 1: like someone who does research, you can be sitting there, 297 00:17:17,200 --> 00:17:20,040 Speaker 1: you can come across a book, you can find the book. 298 00:17:20,200 --> 00:17:22,680 Speaker 1: It's right there, you know, you walk among the rows. 299 00:17:22,920 --> 00:17:26,840 Speaker 1: It's just really lovely. It smells nice like books, you know. 300 00:17:26,920 --> 00:17:29,640 Speaker 1: I just I think we just really need to appreciate 301 00:17:29,680 --> 00:17:32,600 Speaker 1: the library more because I'm terrified that it will go 302 00:17:32,640 --> 00:17:36,959 Speaker 1: away one day, you know, cree internet. Yeah, you know, 303 00:17:37,880 --> 00:17:40,879 Speaker 1: it's lovely, really wonderful. It's so un American that it 304 00:17:40,960 --> 00:17:44,480 Speaker 1: even exists, That's what I'm saying. It's like it's like 305 00:17:44,520 --> 00:17:49,320 Speaker 1: a communist Yeah, you know it is. It's like, oh, 306 00:17:49,400 --> 00:17:51,879 Speaker 1: it's just it's a beautiful thing. And I'm just I 307 00:17:51,920 --> 00:17:57,120 Speaker 1: am I'm very worried it'll disappear. The library. I ran 308 00:17:57,160 --> 00:18:00,280 Speaker 1: into like someone from like my past who like cool, 309 00:18:00,280 --> 00:18:01,760 Speaker 1: and I was like, of course you'd be at the 310 00:18:01,760 --> 00:18:04,680 Speaker 1: library because this is where we go in the area 311 00:18:05,119 --> 00:18:08,040 Speaker 1: to use the internet if your ship goes down, or 312 00:18:08,080 --> 00:18:10,880 Speaker 1: just to get away for a second to read. Yeah, 313 00:18:10,960 --> 00:18:12,399 Speaker 1: you can only sit at a coffee shop for so 314 00:18:12,440 --> 00:18:14,479 Speaker 1: long before you're an asshole, but you can sit at 315 00:18:14,480 --> 00:18:16,639 Speaker 1: the library all day. You can only set a coffee 316 00:18:16,640 --> 00:18:20,800 Speaker 1: shop so long before you're an aspiring writer, whereas at 317 00:18:20,840 --> 00:18:23,879 Speaker 1: the library you're just you're research and stuff. And I 318 00:18:24,240 --> 00:18:26,520 Speaker 1: really love this the scent in there. It's like one 319 00:18:26,560 --> 00:18:29,640 Speaker 1: of the think the most pleasant things for me. I think, 320 00:18:29,840 --> 00:18:31,960 Speaker 1: because I don't know what it is that old that 321 00:18:32,040 --> 00:18:37,800 Speaker 1: old book smell. It's dust. My dad had inherited like 322 00:18:37,840 --> 00:18:40,520 Speaker 1: an encyclopedia from his parents and ship. It's like the 323 00:18:40,680 --> 00:18:43,040 Speaker 1: encyclopedia at my house, like growing up. And you know, 324 00:18:43,080 --> 00:18:46,720 Speaker 1: I should have had all kinds of weird entries um 325 00:18:46,800 --> 00:18:48,760 Speaker 1: as I look back on it, but I remember I 326 00:18:48,760 --> 00:18:51,640 Speaker 1: should just like ban the pages because I'm like, oh, 327 00:18:51,840 --> 00:18:55,200 Speaker 1: it's like that that musty book smell. And my parents 328 00:18:55,200 --> 00:18:57,120 Speaker 1: thought I was like so interested in books, but really, 329 00:18:57,119 --> 00:18:59,080 Speaker 1: I was just I was just sniffing the pages. Oh. 330 00:18:59,080 --> 00:19:02,280 Speaker 1: It turns out the smell is something called kreosote, a 331 00:19:02,359 --> 00:19:05,879 Speaker 1: dark brown oil distilled from coal tar and used as 332 00:19:05,920 --> 00:19:14,000 Speaker 1: wood preservative. Uh, it is a carcinergy. Cool. So I 333 00:19:14,000 --> 00:19:19,920 Speaker 1: actually don't know so many things that were made back 334 00:19:19,920 --> 00:19:22,480 Speaker 1: in the day. We're just like, yeah, we bound these 335 00:19:22,520 --> 00:19:29,680 Speaker 1: pages with just actual liquid cancer. What's the chemical exactly? Oh, 336 00:19:29,880 --> 00:19:32,920 Speaker 1: we just call it LC around here. Liquid cancer. Yeah, 337 00:19:32,960 --> 00:19:35,680 Speaker 1: I don't know. When the GOP comes for the library, 338 00:19:35,720 --> 00:19:38,159 Speaker 1: that's what they're going to use. Yeah, your books are 339 00:19:38,200 --> 00:19:42,200 Speaker 1: causing cancer. Yep. Yeah, alright, let's take a quick break 340 00:19:42,280 --> 00:19:53,840 Speaker 1: and we will be right back. And we're back. And 341 00:19:54,520 --> 00:19:58,000 Speaker 1: the question has been asked, with all these vaccine mandates 342 00:19:58,240 --> 00:20:02,280 Speaker 1: going around, where where the poor unvaccinated going to work? 343 00:20:02,600 --> 00:20:06,639 Speaker 1: Won't someone think of the children in the sense that 344 00:20:06,720 --> 00:20:10,560 Speaker 1: they are acting like babies. It's a hard world, you know, 345 00:20:11,200 --> 00:20:15,120 Speaker 1: and the vaccine mandate further underlined for them just how 346 00:20:15,200 --> 00:20:18,400 Speaker 1: outside of the rest of society they are. And it's 347 00:20:18,440 --> 00:20:20,479 Speaker 1: like you see this all the time with all these movements, 348 00:20:20,520 --> 00:20:23,520 Speaker 1: especially on the rights, like Okay, let's just uh, well, 349 00:20:23,600 --> 00:20:25,480 Speaker 1: we'll figure it out on our own. Because we got 350 00:20:25,520 --> 00:20:31,640 Speaker 1: each other. The market will exactly. Robin Panakia over at 351 00:20:31,680 --> 00:20:34,239 Speaker 1: want Cat did like a deep dive just kind of 352 00:20:34,560 --> 00:20:37,920 Speaker 1: she saw like one like anti vax job site being 353 00:20:37,960 --> 00:20:40,959 Speaker 1: promoted and she's like, look, what what's the scene like 354 00:20:41,160 --> 00:20:44,159 Speaker 1: over here and kind of looked at a few and 355 00:20:44,800 --> 00:20:46,920 Speaker 1: you know, I think at first I was like, man, 356 00:20:47,000 --> 00:20:50,720 Speaker 1: I bet these places are just fucking humming with activity 357 00:20:50,880 --> 00:20:54,600 Speaker 1: right now, with like minded employers looking to hire people 358 00:20:54,680 --> 00:20:58,520 Speaker 1: with a catastrophic contrarian outlook on life, and I think 359 00:20:58,560 --> 00:21:01,360 Speaker 1: maybe this is just a match made in hell. Nope, 360 00:21:01,480 --> 00:21:04,239 Speaker 1: it turns out these things are fucking more stale than 361 00:21:04,280 --> 00:21:06,800 Speaker 1: a bag of chips that have been open for three years. 362 00:21:07,119 --> 00:21:09,639 Speaker 1: If you go to vaccine Free jobs dot org. And 363 00:21:09,680 --> 00:21:11,560 Speaker 1: I'm saying and I'm saying it like need go to 364 00:21:11,640 --> 00:21:14,760 Speaker 1: vaccine free jobs dot org. According to last time, she's like, 365 00:21:14,800 --> 00:21:17,240 Speaker 1: there was only one job listing on there, and it 366 00:21:17,280 --> 00:21:20,240 Speaker 1: looked very suspicious because when you look on the job description, 367 00:21:20,560 --> 00:21:23,560 Speaker 1: it's just doing that like loreum ips some like Latin 368 00:21:23,720 --> 00:21:29,040 Speaker 1: placeholder ship. It's like job description on solely audiom offended 369 00:21:29,160 --> 00:21:33,359 Speaker 1: vimms and you're like, this is not the is this 370 00:21:34,080 --> 00:21:37,480 Speaker 1: not a job posting? Is beta test from the company 371 00:21:37,680 --> 00:21:41,800 Speaker 1: in case people actually show up with job listings exactly. 372 00:21:41,880 --> 00:21:44,440 Speaker 1: Seems like that's what they're working with there, or it's 373 00:21:44,480 --> 00:21:47,800 Speaker 1: like a satanic spell of some kind. Right, No, right, 374 00:21:47,840 --> 00:21:50,399 Speaker 1: if you say the whole thing, you will bring beaesel 375 00:21:50,440 --> 00:21:54,000 Speaker 1: bub from the depths to be your best friend. The 376 00:21:54,080 --> 00:21:57,440 Speaker 1: sites are pretty scant, and there's like another one that's 377 00:21:57,440 --> 00:22:00,879 Speaker 1: called Provision Jobs. They call themselves quote a site that 378 00:22:00,920 --> 00:22:03,880 Speaker 1: will assist job seekers in their research of companies who 379 00:22:03,920 --> 00:22:08,119 Speaker 1: are not mandating their employees take medical procedures as a 380 00:22:08,160 --> 00:22:10,840 Speaker 1: condition of employment. And they all kind of have this 381 00:22:10,960 --> 00:22:15,359 Speaker 1: same bend. You go to their website, no positions being listed, none, 382 00:22:15,840 --> 00:22:19,920 Speaker 1: and you know the ones that do have jobs being posted, 383 00:22:20,320 --> 00:22:24,120 Speaker 1: they're like in places where you absolutely want the person 384 00:22:24,280 --> 00:22:29,119 Speaker 1: being fucking vaccinated, like a dental assistant or hygienist. There's 385 00:22:29,160 --> 00:22:32,000 Speaker 1: like this place there even I'm just surprised that even 386 00:22:32,040 --> 00:22:35,320 Speaker 1: this business has their full like business name on the thing, 387 00:22:35,359 --> 00:22:37,240 Speaker 1: because if I was going there, I'd be like, Yo, 388 00:22:37,320 --> 00:22:40,720 Speaker 1: what the funk are they talking about over in that office? Well, 389 00:22:40,920 --> 00:22:42,720 Speaker 1: you know, so if unfortunately, if you go to Brighton 390 00:22:42,720 --> 00:22:46,959 Speaker 1: and Dental in ironically Corona, California, just know that they 391 00:22:47,000 --> 00:22:49,920 Speaker 1: are looking for a general dentist who they don't care 392 00:22:50,200 --> 00:22:53,200 Speaker 1: if they're vaccinated or not. So are you seeing mostly 393 00:22:53,359 --> 00:22:57,159 Speaker 1: these types of jobs where it's extra risky to not 394 00:22:57,320 --> 00:23:01,280 Speaker 1: be vaccinated. There's just been this dental one. There was 395 00:23:01,320 --> 00:23:04,639 Speaker 1: like a sales representative at like a place that was 396 00:23:04,680 --> 00:23:07,280 Speaker 1: like not even like a company that seemed like real. 397 00:23:07,800 --> 00:23:10,920 Speaker 1: And then other times there would be people posting themselves 398 00:23:10,960 --> 00:23:13,600 Speaker 1: to be hired and they're like and ultimately I'm looking 399 00:23:13,600 --> 00:23:17,720 Speaker 1: to work with President Trump and you're like, okay, um, 400 00:23:17,760 --> 00:23:19,960 Speaker 1: but what skills do you have? It's like um five 401 00:23:20,040 --> 00:23:24,160 Speaker 1: four and I'm an army veteran and you're like, okay, well, um, 402 00:23:24,160 --> 00:23:27,960 Speaker 1: we'll get back to you and quickly. There is one 403 00:23:28,000 --> 00:23:29,840 Speaker 1: place that I just want to show you that. It's 404 00:23:29,840 --> 00:23:34,879 Speaker 1: called Red Balloon. And this guy who he had like 405 00:23:34,960 --> 00:23:37,840 Speaker 1: he's like a really slick video to promote his website, 406 00:23:38,359 --> 00:23:40,639 Speaker 1: and based on this video, it looks like he has 407 00:23:40,680 --> 00:23:45,120 Speaker 1: been watching way too many YouTube blogs from because this 408 00:23:45,160 --> 00:23:49,119 Speaker 1: thing is like jump cutty to all hell, and but hey, 409 00:23:49,280 --> 00:23:51,720 Speaker 1: he's letting you know what Red Balloon is all about. 410 00:23:52,320 --> 00:23:55,280 Speaker 1: I'm Andrew, the founder and CEO, and I'm excited you're here. 411 00:23:55,400 --> 00:23:58,440 Speaker 1: I called the service Red Balloon because balloons help you fly, 412 00:23:58,840 --> 00:24:01,159 Speaker 1: especially if you tie a ton of them to a 413 00:24:01,240 --> 00:24:04,120 Speaker 1: lawn chair. A little bit dangerous, a lot bit fun, 414 00:24:04,359 --> 00:24:06,560 Speaker 1: kind of like looking for a new job and read well, 415 00:24:06,720 --> 00:24:10,040 Speaker 1: toe balloon just sounds like stupid. Keep moving. The mission 416 00:24:10,080 --> 00:24:13,200 Speaker 1: of Red Balloon is to connect employers who still love 417 00:24:13,240 --> 00:24:16,520 Speaker 1: freedom and one employees who love freedom to the millions 418 00:24:16,520 --> 00:24:19,800 Speaker 1: of Americans now searching for jobs today where they won't 419 00:24:19,800 --> 00:24:23,119 Speaker 1: have to look over their shoulders and constantly be worried about. 420 00:24:23,800 --> 00:24:28,520 Speaker 1: I think of this as free speech employment matchmaking, game changer, baby, 421 00:24:28,600 --> 00:24:31,359 Speaker 1: and boy do we need eighty million Americans say they 422 00:24:31,400 --> 00:24:35,480 Speaker 1: are switching jobs this year, which is mind boggling for perspective. 423 00:24:35,600 --> 00:24:39,119 Speaker 1: That's like California and Canada combined a lot of people. 424 00:24:39,200 --> 00:24:42,120 Speaker 1: So why do we launch Red Balloon first? I was anyway, 425 00:24:42,480 --> 00:24:45,960 Speaker 1: So this video goes on for another two minutes and 426 00:24:46,000 --> 00:24:49,520 Speaker 1: what's his last name? Is it? Crap something? It was like, crap, 427 00:24:49,560 --> 00:24:54,879 Speaker 1: shoot it really, I'm I'm serious. It looks like crap shoot, 428 00:24:56,720 --> 00:25:00,159 Speaker 1: crap posh. It's spelled c r A P you c 429 00:25:00,520 --> 00:25:04,800 Speaker 1: h E t t E s crap pouch, crap, crap 430 00:25:05,119 --> 00:25:13,879 Speaker 1: it crap crappy. Come on, son, we gotta chance, we 431 00:25:13,960 --> 00:25:15,800 Speaker 1: gotta sort that name out. I look, I'm not gonna 432 00:25:15,840 --> 00:25:18,760 Speaker 1: give I'm not in the business of giving conservatives. You know, uh, 433 00:25:18,920 --> 00:25:22,120 Speaker 1: show biz advice. You should consider a name change, kid. 434 00:25:22,920 --> 00:25:27,600 Speaker 1: I mean, I do personally like the idea that if 435 00:25:27,680 --> 00:25:31,119 Speaker 1: you want to be anti vax, you should have to 436 00:25:31,160 --> 00:25:35,520 Speaker 1: go to an antivax dentist. Like that. That seems fair 437 00:25:35,640 --> 00:25:38,080 Speaker 1: to me. Same with like the schools. You know, you 438 00:25:38,160 --> 00:25:40,400 Speaker 1: gotta stand by that. It can't just be a thing 439 00:25:40,440 --> 00:25:44,160 Speaker 1: where you're like half asking it and just making other 440 00:25:44,200 --> 00:25:47,080 Speaker 1: people's lives dangerous. You need to be around at the 441 00:25:47,119 --> 00:25:50,000 Speaker 1: moment people are arriving at which is like, well, if 442 00:25:50,000 --> 00:25:52,399 Speaker 1: I have to take my ball and go somewhere else. 443 00:25:52,520 --> 00:25:55,879 Speaker 1: They're taking their ball and they're going to this desolate 444 00:25:55,920 --> 00:25:58,720 Speaker 1: playground where no one else's and they're like, fuck man, 445 00:25:58,760 --> 00:26:02,920 Speaker 1: this place sucks. Right. I guess Andrew crap push It's 446 00:26:03,000 --> 00:26:06,280 Speaker 1: will give me a job as a mouth sneezer at 447 00:26:06,280 --> 00:26:12,520 Speaker 1: a dentist's office. Yeah, his name is definitely made up 448 00:26:12,920 --> 00:26:16,040 Speaker 1: by a five year old trying to make fun of Massachusetts, 449 00:26:16,119 --> 00:26:20,119 Speaker 1: I believe, right, like a New York kid, who's got 450 00:26:20,160 --> 00:26:27,200 Speaker 1: a vendetta against Massachusetts? You mean crapish? Yeah, that's actually 451 00:26:27,280 --> 00:26:30,480 Speaker 1: pretty good New York ten year olds. Feel free to 452 00:26:30,560 --> 00:26:38,440 Speaker 1: use it. Alright, Let's talk about Sara Sota, Florida, which 453 00:26:38,520 --> 00:26:41,000 Speaker 1: is I don't know. There was a pretty wild scene 454 00:26:41,040 --> 00:26:46,520 Speaker 1: there last week. It was a big event where thousands 455 00:26:46,560 --> 00:26:50,040 Speaker 1: of parents were able to get mask mandate waivers signed 456 00:26:50,080 --> 00:26:55,280 Speaker 1: for their children by real doctors and former General and 457 00:26:55,400 --> 00:26:59,440 Speaker 1: Q and on icon General Flynn showed up with these 458 00:26:59,480 --> 00:27:02,359 Speaker 1: guys who were in tactical gear and had you know, 459 00:27:02,840 --> 00:27:05,560 Speaker 1: long rifles with them, like looked like they were ready 460 00:27:05,640 --> 00:27:12,119 Speaker 1: to try and overthrow a Y M c A or something. Yeah. Yeah, 461 00:27:12,359 --> 00:27:16,760 Speaker 1: So Vice was pointing out that Sarasota, Florida is actually 462 00:27:16,800 --> 00:27:21,159 Speaker 1: becoming sort of the conspiracy capital of the US. Charlie 463 00:27:21,200 --> 00:27:25,879 Speaker 1: Kirk lives there, Flynn lives there, The overstocked CEO just 464 00:27:25,960 --> 00:27:30,480 Speaker 1: bought six properties there, and cyber Ninja's is located there. 465 00:27:31,040 --> 00:27:35,480 Speaker 1: Cyber Ninja's the great auditors of the election. Yeah, cyber 466 00:27:35,560 --> 00:27:38,080 Speaker 1: Ninja's Okay, So this is really it's like it's like 467 00:27:38,119 --> 00:27:43,120 Speaker 1: what Austin is too. What took to comedy right now? Exactly? Um, 468 00:27:43,600 --> 00:27:46,240 Speaker 1: but Michael Flynn. I don't know. I feel like we 469 00:27:47,680 --> 00:27:51,000 Speaker 1: might be underrating him as a threat just because he 470 00:27:51,000 --> 00:27:54,560 Speaker 1: has a former general. He is walking around with like 471 00:27:55,320 --> 00:27:59,920 Speaker 1: armed cadre of like minded people. He openly like called 472 00:28:00,160 --> 00:28:03,520 Speaker 1: for the overthrow of the government, like during the election 473 00:28:03,680 --> 00:28:06,480 Speaker 1: and like transition of power. He was actively like saying 474 00:28:06,520 --> 00:28:10,639 Speaker 1: like they should just do a stupid coup like Trump 475 00:28:10,760 --> 00:28:14,080 Speaker 1: was trying to push for. And you know, now he 476 00:28:14,400 --> 00:28:18,280 Speaker 1: is walking around in Florida with like a small army 477 00:28:18,640 --> 00:28:23,359 Speaker 1: who probably are very well trained. I'm assuming that when 478 00:28:23,560 --> 00:28:26,080 Speaker 1: you are a former general, you have your kind of 479 00:28:26,119 --> 00:28:30,360 Speaker 1: pick of operator types. Could you imagine they're all like 480 00:28:30,520 --> 00:28:36,080 Speaker 1: the like the bummiest non soldier types that like He's like, unfortunately, 481 00:28:36,119 --> 00:28:38,120 Speaker 1: he's like fuck, He's like, there's no guys who were 482 00:28:38,120 --> 00:28:40,640 Speaker 1: like Special Forces or anything like that. He's like, I mean, 483 00:28:40,680 --> 00:28:45,160 Speaker 1: this guy's cousin was in Special Forces. Alright, I guess 484 00:28:45,200 --> 00:28:47,440 Speaker 1: I guess we'll take them. Our writer jam was pointing 485 00:28:47,440 --> 00:28:50,720 Speaker 1: out Michael Flynn had a pretty compelling take on a 486 00:28:50,760 --> 00:28:52,880 Speaker 1: story that we talked about last week. So we talked 487 00:28:52,920 --> 00:28:57,440 Speaker 1: about the fact that a lab was trying to use 488 00:28:57,920 --> 00:29:00,680 Speaker 1: the fact that they are like these many factories and 489 00:29:00,840 --> 00:29:06,920 Speaker 1: plants that are the chloroplasts. So these brilliant scientists are like, yeah, 490 00:29:07,000 --> 00:29:10,440 Speaker 1: it's we just thought. You know, they're like tiny solar 491 00:29:10,480 --> 00:29:14,680 Speaker 1: powered factories that produce sugar and other molecules which allow 492 00:29:14,720 --> 00:29:17,080 Speaker 1: the plant to grow. What if we found a way 493 00:29:17,120 --> 00:29:22,080 Speaker 1: to have them make desirable molecules. And the big advantage 494 00:29:22,160 --> 00:29:24,360 Speaker 1: of this is not that like they'd be able to 495 00:29:24,840 --> 00:29:27,160 Speaker 1: serve it to you at a salad bar as much 496 00:29:27,200 --> 00:29:31,080 Speaker 1: as it's an underrated and underreported problem with the vaccine 497 00:29:31,120 --> 00:29:33,520 Speaker 1: is that it has to be stored at like a 498 00:29:33,680 --> 00:29:39,840 Speaker 1: unnaturally like super low temperature to maintain its effectiveness, and 499 00:29:40,680 --> 00:29:42,880 Speaker 1: this would be able to be stored at I think 500 00:29:42,920 --> 00:29:49,719 Speaker 1: closer to room temperature. So very cool idea, and Michael 501 00:29:49,720 --> 00:29:52,360 Speaker 1: Flint's take on it was they're talking about putting the 502 00:29:52,400 --> 00:29:56,600 Speaker 1: vaccine into salad dressing or salads. People are seriously thinking 503 00:29:56,600 --> 00:29:59,480 Speaker 1: about how to impose their will on us in our society, 504 00:29:59,720 --> 00:30:03,520 Speaker 1: and it has to stop. Yeah, so you know, he 505 00:30:03,560 --> 00:30:10,080 Speaker 1: took this amazing dress from you know, because there was 506 00:30:10,120 --> 00:30:12,880 Speaker 1: a headline that you know, the reason it was interesting 507 00:30:12,920 --> 00:30:17,080 Speaker 1: is like, you know, vaccines in our lettuce, and then 508 00:30:17,120 --> 00:30:24,040 Speaker 1: that turned into they're putting it in the dressing it delicious. Yeah, wow, wow, 509 00:30:24,080 --> 00:30:26,280 Speaker 1: wow wow. That's I didn't realize that he took that 510 00:30:26,360 --> 00:30:29,120 Speaker 1: as they're putting it in the dressing. Yeah, that was 511 00:30:29,160 --> 00:30:31,920 Speaker 1: one option that he gave for either either the salad 512 00:30:32,000 --> 00:30:35,040 Speaker 1: or the salad dressing. But I think that the idea 513 00:30:35,280 --> 00:30:41,520 Speaker 1: of a plant manufacturing the vaccine was like too good 514 00:30:41,560 --> 00:30:43,880 Speaker 1: an idea for his brain to hold, so he was 515 00:30:43,960 --> 00:30:45,960 Speaker 1: just like, nah, get it out and get it out 516 00:30:45,960 --> 00:30:49,080 Speaker 1: of there. They're just gonna, you know, shoot the vaccine 517 00:30:49,080 --> 00:30:54,960 Speaker 1: into a bottle of you know, Paul Newman's Italian dressing 518 00:30:58,400 --> 00:31:02,320 Speaker 1: that liberal charity give him. Um, do you guys remember 519 00:31:02,320 --> 00:31:06,840 Speaker 1: the urban legends from the nineties of like somebody leaving 520 00:31:08,120 --> 00:31:12,200 Speaker 1: HIV infected needle in the like your seats at the 521 00:31:12,240 --> 00:31:14,520 Speaker 1: movie theater. I feel like that ship is about to 522 00:31:14,520 --> 00:31:17,080 Speaker 1: pick back up, but like with vaccines, like they're gonna 523 00:31:17,080 --> 00:31:20,920 Speaker 1: be hiding vaccines in different places to accidentally prick yet 524 00:31:22,520 --> 00:31:26,160 Speaker 1: like the concerned on chain letters of old exactly like 525 00:31:26,240 --> 00:31:29,200 Speaker 1: you gotta watch out. Also, don't drink from a soda 526 00:31:29,280 --> 00:31:34,160 Speaker 1: can people homosexuals. Yeah, I was very afraid of although 527 00:31:34,400 --> 00:31:37,400 Speaker 1: many people say, yeah, they're soda cans are dirty as 528 00:31:37,440 --> 00:31:39,880 Speaker 1: fun on the top and right, Okay, let's just give 529 00:31:39,880 --> 00:31:46,000 Speaker 1: it a little rub your um. I mean this Flint's 530 00:31:46,000 --> 00:31:48,920 Speaker 1: whole thing is, you know, just like everybody, he's found 531 00:31:48,920 --> 00:31:51,640 Speaker 1: a really easy job. You know, he didn't have to 532 00:31:51,680 --> 00:31:57,200 Speaker 1: do the Pentagon to defense contractor or defense manufacturer sort 533 00:31:57,240 --> 00:32:00,080 Speaker 1: of round. What is that revolving door kind of thinging 534 00:32:00,080 --> 00:32:03,720 Speaker 1: where he'd have to like really use his connections. He 535 00:32:03,800 --> 00:32:07,800 Speaker 1: can now just freestyle bullshit on the microphone and people 536 00:32:07,800 --> 00:32:11,280 Speaker 1: are throwing money at him and like it. You can 537 00:32:11,480 --> 00:32:13,400 Speaker 1: you can just see it. And how like more how 538 00:32:13,440 --> 00:32:16,080 Speaker 1: he just very quickly found like his audience in the 539 00:32:16,160 --> 00:32:18,240 Speaker 1: Q world is like, yep, I'm all in, Like, let 540 00:32:18,280 --> 00:32:20,520 Speaker 1: me just wrap myself up in it. People just love 541 00:32:20,640 --> 00:32:24,160 Speaker 1: his enthusiasm about it because all of these like all 542 00:32:24,200 --> 00:32:26,840 Speaker 1: these guys, they just all do these fucking speaking tours. 543 00:32:27,600 --> 00:32:30,840 Speaker 1: You just get more and more fucking money. There's really nothing. 544 00:32:31,080 --> 00:32:33,240 Speaker 1: There's never an outcome from these things that I think 545 00:32:33,360 --> 00:32:36,200 Speaker 1: is actually satisfying to the people who are like, you know, 546 00:32:36,280 --> 00:32:38,680 Speaker 1: really holding out for Trump to be magically ushered in. 547 00:32:39,320 --> 00:32:41,520 Speaker 1: It's just like a place for them to be with 548 00:32:41,560 --> 00:32:45,400 Speaker 1: other like minded people and see the people from your 549 00:32:45,400 --> 00:32:48,480 Speaker 1: Twitter feed in person. If you are looking for a 550 00:32:48,480 --> 00:32:53,200 Speaker 1: place to catch COVID. The reawaken America Tour is coming 551 00:32:53,560 --> 00:32:57,320 Speaker 1: to a I don't know a meeting room near you, 552 00:32:57,720 --> 00:33:00,480 Speaker 1: and the tour features not just flimmed but by anti 553 00:33:00,560 --> 00:33:04,440 Speaker 1: vax or doctors. The guy he was speaking to when 554 00:33:04,480 --> 00:33:08,160 Speaker 1: he talked about the sound dressing thing is Clay Clark, 555 00:33:09,120 --> 00:33:12,680 Speaker 1: a conservative radio host of the Thrive Times show who 556 00:33:13,240 --> 00:33:15,520 Speaker 1: told a crowd at a rally and January to hug 557 00:33:15,560 --> 00:33:18,520 Speaker 1: a stranger so they could turn it into a mass 558 00:33:18,520 --> 00:33:22,200 Speaker 1: spreader event. So you know, these are the these are 559 00:33:22,240 --> 00:33:26,360 Speaker 1: the people who he's surrounding himself with. I mean, it's interesting. 560 00:33:26,400 --> 00:33:28,320 Speaker 1: I was looking at some of the I guess the 561 00:33:28,440 --> 00:33:31,320 Speaker 1: run of show for the Reawakened Tour one of their 562 00:33:31,520 --> 00:33:34,880 Speaker 1: like recent stops, and we're gonna talk about this later on, 563 00:33:34,960 --> 00:33:38,400 Speaker 1: but there's one right there home school and defund the Swamp, 564 00:33:39,760 --> 00:33:43,120 Speaker 1: because that's definitely the new battleground that they're all looking at. 565 00:33:43,160 --> 00:33:46,320 Speaker 1: His school boards and home schooling. But yeah, yeah, this 566 00:33:46,400 --> 00:33:48,720 Speaker 1: is uh, they just they're taking it on. The next 567 00:33:48,720 --> 00:33:51,080 Speaker 1: one is going to be in Dallas or no, San 568 00:33:51,080 --> 00:33:54,840 Speaker 1: Antonio then Dallas, and they call him Health and Freedom Conferences. 569 00:33:56,200 --> 00:33:58,720 Speaker 1: They're kind of like revival tours or something like that, 570 00:33:59,200 --> 00:34:03,240 Speaker 1: like the same and g right just way way, way 571 00:34:03,360 --> 00:34:08,160 Speaker 1: way more dangerous. UM. So, uh, just a quick story 572 00:34:08,200 --> 00:34:12,160 Speaker 1: about Facebook to follow up on the stories that we 573 00:34:12,160 --> 00:34:16,920 Speaker 1: were talking about last week with the document Dumps. Facebook 574 00:34:17,000 --> 00:34:23,160 Speaker 1: has decided to amend its strategy of doing evil ship 575 00:34:23,360 --> 00:34:28,560 Speaker 1: and then apologizing once caught to doing evil shit and 576 00:34:28,600 --> 00:34:32,000 Speaker 1: then pretending they didn't do evil shit. And the way 577 00:34:32,040 --> 00:34:35,760 Speaker 1: they're going to do that is by manipulating people's news 578 00:34:35,800 --> 00:34:41,680 Speaker 1: feeds to feature more pro Facebook news. They're basically so 579 00:34:41,800 --> 00:34:45,600 Speaker 1: they're doubling down on the thing that they have unprecedented 580 00:34:45,640 --> 00:34:49,600 Speaker 1: power in um, which is the ability to control minds 581 00:34:49,920 --> 00:34:53,600 Speaker 1: via the news feed. Even for Facebook, this is like 582 00:34:53,680 --> 00:34:58,240 Speaker 1: such a kind of shift into uh, to the dark side. 583 00:34:58,520 --> 00:35:00,960 Speaker 1: People behind the scene, they are like, wait, what the 584 00:35:01,040 --> 00:35:04,120 Speaker 1: funk are you talking about? Uh. They've they've named it 585 00:35:04,200 --> 00:35:09,480 Speaker 1: Project Amplify, and that plan includes proposals to elevate positive 586 00:35:09,520 --> 00:35:13,480 Speaker 1: stories about Facebook on users feeds, including posts written by 587 00:35:13,480 --> 00:35:19,080 Speaker 1: Facebook itself. So they're done with the whole Sorry, we 588 00:35:19,080 --> 00:35:22,759 Speaker 1: we fucked up, uh, and you know we want to 589 00:35:22,800 --> 00:35:29,160 Speaker 1: be good uh citizens, So we're going to change things. 590 00:35:29,239 --> 00:35:33,000 Speaker 1: They're now going full like dark side. Just we're going 591 00:35:33,080 --> 00:35:36,240 Speaker 1: to change how you perceive things so it doesn't seem 592 00:35:36,280 --> 00:35:38,279 Speaker 1: like we fucked up. What do you guys think these 593 00:35:38,320 --> 00:35:42,120 Speaker 1: positive stories would look like, you know, so boring. It's 594 00:35:42,160 --> 00:35:43,920 Speaker 1: just like I don't feel like I just feel like 595 00:35:43,920 --> 00:35:47,719 Speaker 1: it's something I've completely gloss over, just like Facebook, Like 596 00:35:47,840 --> 00:35:50,360 Speaker 1: are they doing a charitable thing or is it just 597 00:35:50,560 --> 00:35:52,840 Speaker 1: you know, it's going to be a bunch of like, yeah, 598 00:35:52,840 --> 00:35:56,239 Speaker 1: a corporate posturing ship, like how politicians you know, like 599 00:35:56,320 --> 00:35:59,160 Speaker 1: to pat themselves on the back. It's like really nothing. 600 00:35:59,320 --> 00:36:01,160 Speaker 1: It's like, well, if you're gonna hear something about us, 601 00:36:01,200 --> 00:36:04,480 Speaker 1: it'll be a vague thing that's positive because it's those 602 00:36:04,480 --> 00:36:07,839 Speaker 1: Wall Street journal drops of like their internal stuff that's 603 00:36:07,840 --> 00:36:10,359 Speaker 1: just been causing like just so many problems for them. 604 00:36:10,360 --> 00:36:12,719 Speaker 1: I think recently they said like okay, we're gonna we're 605 00:36:12,719 --> 00:36:16,320 Speaker 1: gonna put a hold on Instagram for babies because everybody 606 00:36:16,400 --> 00:36:18,600 Speaker 1: saw that. We know how bad it is, so we 607 00:36:18,760 --> 00:36:21,239 Speaker 1: you got us there. And then this week, like in 608 00:36:21,280 --> 00:36:24,239 Speaker 1: the Atlantic, they make a very compelling point they're calling 609 00:36:24,239 --> 00:36:28,120 Speaker 1: Facebook the largest autocracy on Earth um and how it 610 00:36:28,160 --> 00:36:30,160 Speaker 1: needs to be dealt with as such. You know, like 611 00:36:30,200 --> 00:36:34,240 Speaker 1: they're developing their own money. They're clearly can get people 612 00:36:34,280 --> 00:36:36,239 Speaker 1: to think a certain way if they start, you know, 613 00:36:36,400 --> 00:36:39,600 Speaker 1: pulling levers and ship like that. It's it's interesting to 614 00:36:39,640 --> 00:36:42,120 Speaker 1: see how this like evolution is going to occur because 615 00:36:42,160 --> 00:36:45,560 Speaker 1: I think the next thing they have is some senate hearings. Yeah, 616 00:36:45,600 --> 00:36:48,520 Speaker 1: I'm sure you're right that it's going to be boring 617 00:36:48,719 --> 00:36:50,960 Speaker 1: and just like very vague stuff. It would be so 618 00:36:51,040 --> 00:36:53,759 Speaker 1: great if he just went full Kim Jong Oon and 619 00:36:53,880 --> 00:36:57,120 Speaker 1: was just like like the news stories about it about 620 00:36:57,200 --> 00:36:59,719 Speaker 1: him that he was promoting, or like that he hit 621 00:36:59,840 --> 00:37:01,600 Speaker 1: was the first person to ever hit a hole in 622 00:37:01,719 --> 00:37:06,160 Speaker 1: one on a par five Sexiest Man of America. Yeah. Yeah, 623 00:37:06,480 --> 00:37:11,560 Speaker 1: I mean he's like he's served a five thousand foot weight. 624 00:37:15,840 --> 00:37:19,160 Speaker 1: Oh my god. There there's also a story about how 625 00:37:19,480 --> 00:37:25,520 Speaker 1: the sheriff in um Los Angeles, Alex Beneueva, who via Aueva, 626 00:37:25,520 --> 00:37:29,480 Speaker 1: who we've talked about before on the show, because uh, 627 00:37:29,560 --> 00:37:33,080 Speaker 1: you know, he presides over the incredibly corrupt, violent, white 628 00:37:33,080 --> 00:37:37,600 Speaker 1: supremacist gang ridden part of the l e. P D. 629 00:37:38,239 --> 00:37:43,920 Speaker 1: That they have recently uncovered a task force of people 630 00:37:44,120 --> 00:37:47,080 Speaker 1: across different units and regions of the lap D that 631 00:37:47,160 --> 00:37:51,800 Speaker 1: focus on people who are critical of alex Vien Aueva. 632 00:37:52,160 --> 00:37:56,279 Speaker 1: And again it's just it's that same you know, uh, 633 00:37:56,480 --> 00:38:00,600 Speaker 1: Facebook uses the thing that they have that is like 634 00:38:00,680 --> 00:38:05,040 Speaker 1: their superpower, their unprecedented power is the ability to control 635 00:38:05,480 --> 00:38:08,879 Speaker 1: what people think and see via their news feeds. And 636 00:38:09,480 --> 00:38:14,640 Speaker 1: alex Vin Aueva has like an unprecedentedly violent and corrupt 637 00:38:14,800 --> 00:38:17,480 Speaker 1: police force under him, So he creates a police force 638 00:38:17,600 --> 00:38:21,640 Speaker 1: that will, you know, intimidate and funk with people who 639 00:38:21,640 --> 00:38:23,840 Speaker 1: are critical of them. And that just seems to be 640 00:38:23,920 --> 00:38:28,600 Speaker 1: how power kind of protects itself, right, go after anyone 641 00:38:28,640 --> 00:38:32,520 Speaker 1: that's making our deeds clear as day to people, because 642 00:38:32,760 --> 00:38:35,440 Speaker 1: that's the problem. It's not we're doing anything wrong, so 643 00:38:35,440 --> 00:38:38,280 Speaker 1: that people are revealing our actions and that's the issue 644 00:38:38,320 --> 00:38:40,919 Speaker 1: that has to be solved. It's like the cult model, right, 645 00:38:41,160 --> 00:38:45,400 Speaker 1: It's like, I don't know, you send out negative information 646 00:38:45,480 --> 00:38:49,640 Speaker 1: about your critics, only positive information comes out about the leader. 647 00:38:50,040 --> 00:38:53,080 Speaker 1: You know. It just seems like and then everybody's dedicated 648 00:38:53,160 --> 00:38:55,359 Speaker 1: to like in a fervent way. Like it just kind 649 00:38:55,360 --> 00:38:57,360 Speaker 1: of seems like we have many cults all over the 650 00:38:57,360 --> 00:39:02,399 Speaker 1: place all the time. Now, maybe it's always been that, Okay, yeah, 651 00:39:03,080 --> 00:39:06,360 Speaker 1: it really seems like it's social media that's led to it. Like, 652 00:39:06,400 --> 00:39:08,000 Speaker 1: I don't think it's always been that way. I think 653 00:39:08,080 --> 00:39:10,760 Speaker 1: there used to be. I don't know, it's just social 654 00:39:10,760 --> 00:39:16,080 Speaker 1: media has its completely untethered us from reality. All right, 655 00:39:16,280 --> 00:39:19,520 Speaker 1: let's take a another quick break and we'll be right back. 656 00:39:28,000 --> 00:39:32,160 Speaker 1: And we're back. Employers are starting to realize the drug 657 00:39:32,239 --> 00:39:35,279 Speaker 1: tests are dumb. It seems to be somewhat related to 658 00:39:35,280 --> 00:39:39,000 Speaker 1: the fact that employers are somewhat desperate. Not desperate enough 659 00:39:39,040 --> 00:39:41,799 Speaker 1: to go on those red balloon websites or whatever the 660 00:39:41,840 --> 00:39:47,880 Speaker 1: fun too higher unvaccinated people, but desperate enough to do 661 00:39:48,000 --> 00:39:50,839 Speaker 1: the right thing. In this case, the labor shortage, it's 662 00:39:50,880 --> 00:39:52,920 Speaker 1: not just here in the U S. It's it's everywhere, 663 00:39:53,040 --> 00:39:55,640 Speaker 1: you know, because many people are like, hey, I think 664 00:39:55,680 --> 00:39:59,640 Speaker 1: I want work that's rewarding and not a total abusive 665 00:39:59,680 --> 00:40:02,319 Speaker 1: and ironment and it pays a living wage. I think 666 00:40:02,320 --> 00:40:05,040 Speaker 1: I'm gonna look for something like that. But many of 667 00:40:05,120 --> 00:40:08,680 Speaker 1: like the wage jobs, are not interested in providing things 668 00:40:08,680 --> 00:40:11,680 Speaker 1: like a living wage or like worker protections and things 669 00:40:11,719 --> 00:40:14,839 Speaker 1: like that. So we're just seeing a huge, uh just 670 00:40:15,120 --> 00:40:19,200 Speaker 1: you know what, a surplus of job openings happening, and 671 00:40:19,680 --> 00:40:22,480 Speaker 1: many companies they've just been struggling to fill these vacant 672 00:40:22,520 --> 00:40:25,160 Speaker 1: job openings because essentially it's like they don't want to. 673 00:40:25,200 --> 00:40:28,600 Speaker 1: They don't want to make things easier for workers or 674 00:40:28,760 --> 00:40:31,319 Speaker 1: pay them more and in turn make less money. So 675 00:40:31,440 --> 00:40:34,919 Speaker 1: right now they say sixty of employers are reporting difficulty 676 00:40:35,239 --> 00:40:37,719 Speaker 1: filling their roles that they have opened. And like one 677 00:40:37,719 --> 00:40:40,000 Speaker 1: of these people from this article is quoted it said, overall, 678 00:40:40,160 --> 00:40:43,480 Speaker 1: the employment outlook is optimistic, particularly for employers that are 679 00:40:43,480 --> 00:40:45,759 Speaker 1: prepared to adapt to a new world of work and 680 00:40:45,840 --> 00:40:49,200 Speaker 1: offer incentives to attract and retain the talent they need. 681 00:40:49,640 --> 00:40:53,440 Speaker 1: Um incentives really like what and you look at some 682 00:40:53,520 --> 00:40:56,640 Speaker 1: of the things that there's a staffing survey from that 683 00:40:56,760 --> 00:40:59,480 Speaker 1: was like released a couple of weeks ago saying that 684 00:40:59,680 --> 00:41:03,480 Speaker 1: nine percent of more than forty five thou employers worldwide 685 00:41:03,480 --> 00:41:07,520 Speaker 1: we're eliminating job screenings or drug tests as an incentive 686 00:41:08,440 --> 00:41:12,960 Speaker 1: to attract and quote retain in demand talent. That's okay, 687 00:41:12,960 --> 00:41:16,160 Speaker 1: that's again about forty three countries. That represents and even 688 00:41:16,200 --> 00:41:20,080 Speaker 1: Amazon has like began to eliminate their drug tests for 689 00:41:20,160 --> 00:41:24,080 Speaker 1: jobs that aren't like federally regulated. And they say that 690 00:41:24,120 --> 00:41:27,160 Speaker 1: they're reasoning like many other companies is more like, well, 691 00:41:27,160 --> 00:41:29,560 Speaker 1: you know, we're just observing local laws and things like 692 00:41:29,640 --> 00:41:33,480 Speaker 1: marijuana and you know, like in like recreational cannabis, and 693 00:41:33,520 --> 00:41:35,880 Speaker 1: we're just relaxing that part of the hiring process that 694 00:41:35,920 --> 00:41:39,160 Speaker 1: was just sort of necessary. But they also didn't they 695 00:41:39,239 --> 00:41:42,000 Speaker 1: last week like start lobbying to try and get it 696 00:41:42,200 --> 00:41:46,200 Speaker 1: legalized in more places. Yeah, yeah, because that's just more business, Yeah, 697 00:41:46,239 --> 00:41:49,160 Speaker 1: more business, more people to hire. Plus they have those 698 00:41:49,200 --> 00:41:51,480 Speaker 1: dystopian robots that will yell at you if you're too 699 00:41:51,560 --> 00:41:55,600 Speaker 1: high right now. They're like a your hey, bro eyes 700 00:41:55,640 --> 00:41:58,839 Speaker 1: on the road. Everyone totally hates you, dude, are you 701 00:41:58,880 --> 00:42:02,760 Speaker 1: sure you want to go? You're going? And a fifty five. 702 00:42:04,800 --> 00:42:07,479 Speaker 1: But like, you know, they even found like in here's 703 00:42:07,480 --> 00:42:09,840 Speaker 1: the thing, like even in countries that don't have recreational 704 00:42:09,920 --> 00:42:11,759 Speaker 1: drug laws and things like that are just you know 705 00:42:11,800 --> 00:42:14,440 Speaker 1: the same sort of these factors as like the like 706 00:42:14,480 --> 00:42:17,960 Speaker 1: certain states like in the US, they've also found that 707 00:42:18,040 --> 00:42:21,160 Speaker 1: they need to end these tests. Like this guy in 708 00:42:21,239 --> 00:42:23,480 Speaker 1: Australia was just saying, like, quote, if we put a 709 00:42:23,560 --> 00:42:26,319 Speaker 1: sign up, we would easily get forty or fifty applicants. 710 00:42:26,440 --> 00:42:28,160 Speaker 1: But if the sign says that you must submit to 711 00:42:28,200 --> 00:42:30,719 Speaker 1: a drug like to drug testing, it's down to four 712 00:42:30,800 --> 00:42:34,360 Speaker 1: or five. So I think it's this sort of relic 713 00:42:34,440 --> 00:42:38,600 Speaker 1: of racist hiring practices and things like that are starting 714 00:42:38,600 --> 00:42:41,319 Speaker 1: to they're starting to have a reckoning with it, not 715 00:42:41,400 --> 00:42:44,000 Speaker 1: I don't think because they realize what it represents, but 716 00:42:44,160 --> 00:42:47,719 Speaker 1: because they're clearly at this point where there's just people 717 00:42:47,719 --> 00:42:51,520 Speaker 1: are naturally withholding their labor for better outcomes, and they're 718 00:42:51,520 --> 00:42:55,040 Speaker 1: finding them no drug tests, what else before I have 719 00:42:55,080 --> 00:42:57,840 Speaker 1: to pay more? Well, when you're smoking weed, it stays 720 00:42:57,840 --> 00:43:00,320 Speaker 1: in your system for so long that people just can't. 721 00:43:00,560 --> 00:43:02,920 Speaker 1: You know, if you smoke weed once last month, you 722 00:43:02,960 --> 00:43:05,480 Speaker 1: know it's going to come up and and fuck you over. 723 00:43:05,600 --> 00:43:07,719 Speaker 1: Do you guys remember what it was like trying to 724 00:43:07,719 --> 00:43:11,000 Speaker 1: pass drug tests like or your friends trying to pass 725 00:43:11,040 --> 00:43:15,000 Speaker 1: drug tests like the ship people used to do. Remember 726 00:43:15,000 --> 00:43:17,440 Speaker 1: my favorite is like remember when people will take niacin 727 00:43:17,640 --> 00:43:19,799 Speaker 1: Do you remember that ship? And it would just turn 728 00:43:19,880 --> 00:43:21,839 Speaker 1: them bright red and it would be this I read 729 00:43:21,880 --> 00:43:25,120 Speaker 1: recently that that doesn't work at all, And you know, 730 00:43:25,200 --> 00:43:28,600 Speaker 1: storing p and the freezer and just like figuring out 731 00:43:28,600 --> 00:43:31,080 Speaker 1: how it's just it was such a it was such 732 00:43:31,080 --> 00:43:34,040 Speaker 1: a thing to try to figure out how to beat that, right, 733 00:43:34,120 --> 00:43:38,760 Speaker 1: bringing your own P bag and if your friend's version 734 00:43:38,800 --> 00:43:42,239 Speaker 1: of like the soci Olympics but it wasn't happening, and 735 00:43:42,320 --> 00:43:45,279 Speaker 1: searching the like earlier Internet to try to figure out, 736 00:43:45,360 --> 00:43:47,759 Speaker 1: like can they test my p to figure out if 737 00:43:47,760 --> 00:43:57,280 Speaker 1: it's someone else's speed? Please? Alright, Uh, let's talk about 738 00:43:57,400 --> 00:44:01,560 Speaker 1: So there is a trend that we've seen, I think 739 00:44:01,880 --> 00:44:07,799 Speaker 1: mostly at McDonald's to this point of celebrity branded meals. 740 00:44:08,360 --> 00:44:12,600 Speaker 1: You know, we had Travis Scott bts Weedy, um and 741 00:44:13,560 --> 00:44:18,000 Speaker 1: uh you know, like this isn't anything completely new. The 742 00:44:18,040 --> 00:44:22,640 Speaker 1: early nineties, McDonald sold the Mick Jordan's, which they claimed 743 00:44:22,920 --> 00:44:28,080 Speaker 1: was what Michael Jordan's likes on a Burger customized quarter pounder, 744 00:44:28,080 --> 00:44:32,839 Speaker 1: which I might believe that like he apparently was uh 745 00:44:33,280 --> 00:44:36,440 Speaker 1: you know, woody uh pepperoni pizza, like right before a 746 00:44:36,480 --> 00:44:41,960 Speaker 1: game he just had uh an inhuman metabolism or something. 747 00:44:42,360 --> 00:44:47,439 Speaker 1: But these recent celebrity collaborations have apparently been a big hit, 748 00:44:47,880 --> 00:44:53,320 Speaker 1: to the point that Burger King's now offering up their 749 00:44:53,719 --> 00:44:56,799 Speaker 1: their own celebrity meals as part of a Keep It 750 00:44:56,880 --> 00:45:02,719 Speaker 1: Real campaign celebrating how they're permanently b ending twenty artificial 751 00:45:02,880 --> 00:45:06,719 Speaker 1: ingredients from their food menu. Oh, which is I mean 752 00:45:06,800 --> 00:45:11,200 Speaker 1: that's a fucking lot. That is so many. Unfortunately they 753 00:45:11,239 --> 00:45:16,839 Speaker 1: haven't said what those artificial ingredients actually are, so like 754 00:45:16,880 --> 00:45:20,960 Speaker 1: you guys will never go to burger Kings we're getting 755 00:45:21,000 --> 00:45:24,480 Speaker 1: rid of, or which artificial ingredients it will continue to use? 756 00:45:24,600 --> 00:45:28,359 Speaker 1: They haven't under twenty ingredients seems like it's too much 757 00:45:28,440 --> 00:45:31,880 Speaker 1: for any food Like that's the marketing campaign should be 758 00:45:31,920 --> 00:45:34,800 Speaker 1: less keep it real and more keep it pretty vague 759 00:45:34,840 --> 00:45:38,719 Speaker 1: and still somewhat suspicious to be honest. But the celebrity 760 00:45:38,719 --> 00:45:42,040 Speaker 1: part comes in because they are getting Nelly, Anita and 761 00:45:42,120 --> 00:45:46,600 Speaker 1: little Hoodie and they are named naming them after you 762 00:45:46,600 --> 00:45:49,560 Speaker 1: don't know, a little Hoodie. I don't know who the 763 00:45:50,160 --> 00:45:53,760 Speaker 1: Anita or a little Hoodie is. Um? Yeah who little Hoodie? 764 00:45:53,760 --> 00:45:56,920 Speaker 1: I don't know who is this guy? Chase Hudson? Yeah, 765 00:45:57,160 --> 00:46:00,799 Speaker 1: so what is he? The idea is that they are 766 00:46:00,920 --> 00:46:04,240 Speaker 1: using their real names, So the Nelly meal is called 767 00:46:04,360 --> 00:46:12,319 Speaker 1: the Cornell Haynes Jr. Meal. And like the ideas accused 768 00:46:12,400 --> 00:46:17,279 Speaker 1: sexual assaulter, it's really a strange. Why is Nelly in 769 00:46:17,320 --> 00:46:23,560 Speaker 1: a fucking in anything right now? Right? It's our people, Okay, okay, cool? Yeah, 770 00:46:23,719 --> 00:46:26,560 Speaker 1: our writer Jam was digging in a little bit too. 771 00:46:27,000 --> 00:46:30,360 Speaker 1: Like kind of the corporate thinking behind all these celebrity 772 00:46:30,440 --> 00:46:34,960 Speaker 1: tie in meals and it's purely to hawk the mobile apps. 773 00:46:35,560 --> 00:46:41,240 Speaker 1: So I didn't investigate any of the McDonald's celebrity meals 774 00:46:41,400 --> 00:46:45,919 Speaker 1: enough to like realize this. But you could get the 775 00:46:46,040 --> 00:46:48,520 Speaker 1: j B album meal. But you could get the mc 776 00:46:48,600 --> 00:46:51,680 Speaker 1: fleury for free, but only if you use the app. 777 00:46:52,160 --> 00:46:55,520 Speaker 1: That Travis Scott meal was at one point only available 778 00:46:55,560 --> 00:47:00,200 Speaker 1: through the app and the keep It Real meals are 779 00:47:00,560 --> 00:47:03,440 Speaker 1: as the celebrities mentioned the commercial only six dollars that 780 00:47:03,640 --> 00:47:07,719 Speaker 1: ordered through the app by someone with an account, like 781 00:47:07,760 --> 00:47:11,000 Speaker 1: all those guidelines like you order it through the app 782 00:47:11,080 --> 00:47:13,399 Speaker 1: and it has to be your account, we will check 783 00:47:13,440 --> 00:47:15,520 Speaker 1: the account if you get there. Otherwise we will throw 784 00:47:15,560 --> 00:47:19,120 Speaker 1: away your Cornell Haynes Jr. Wasting. First of all, it 785 00:47:19,160 --> 00:47:23,080 Speaker 1: cuts out third party apps that you know, food delivery services. 786 00:47:23,680 --> 00:47:27,120 Speaker 1: Here we go shut them out. Let's go direct. I 787 00:47:27,440 --> 00:47:32,200 Speaker 1: see full improve profitability also leads to UH. They've found 788 00:47:32,320 --> 00:47:35,720 Speaker 1: an increase in customer visits and spending rises by about 789 00:47:36,880 --> 00:47:39,799 Speaker 1: when technology is used to place an order. You know, 790 00:47:40,239 --> 00:47:44,680 Speaker 1: I'm I'm The one food app I have is Wingstop, Okay, 791 00:47:44,760 --> 00:47:46,920 Speaker 1: because that's just how I get down and it's quicker, 792 00:47:46,960 --> 00:47:50,360 Speaker 1: and that's just it's pretty efficient. But I I definitely 793 00:47:50,400 --> 00:47:54,319 Speaker 1: fall victim to ordering and in many instances through an 794 00:47:54,320 --> 00:47:57,839 Speaker 1: app versus approaching a counter and telling a human being 795 00:47:57,840 --> 00:48:01,560 Speaker 1: what I'm ordering. Like there's something about there's like this 796 00:48:01,560 --> 00:48:03,480 Speaker 1: ship where it's like you're ordering something an app and 797 00:48:03,520 --> 00:48:06,960 Speaker 1: you're like, that's all you're gonna get. Yeah, that's it. Yeah, 798 00:48:07,080 --> 00:48:08,840 Speaker 1: Like you're not You're gonna get that little meal, Like 799 00:48:08,880 --> 00:48:11,359 Speaker 1: you could add another thing for a couple of cents 800 00:48:11,440 --> 00:48:13,600 Speaker 1: or whatever. I'm like, yeah, actually, yeah, maybe I will 801 00:48:13,880 --> 00:48:17,480 Speaker 1: do this option and augment my order somehow, Versus like 802 00:48:17,560 --> 00:48:20,600 Speaker 1: if I ever went to like McDonald's, I'm just like, yo, 803 00:48:20,600 --> 00:48:23,360 Speaker 1: give me my breakfast sandwich. I'm out. Yeah right, but 804 00:48:23,400 --> 00:48:25,280 Speaker 1: now I'm like, I guess I need three more hash browns. 805 00:48:25,520 --> 00:48:28,080 Speaker 1: It gives you like the ability to like go at 806 00:48:28,080 --> 00:48:31,480 Speaker 1: your own pace. You know, there's no nervousness of human interactions, 807 00:48:31,520 --> 00:48:33,439 Speaker 1: so they can they give you have like a little 808 00:48:33,480 --> 00:48:38,400 Speaker 1: more time consider other options. Yeah, uh, do you have 809 00:48:38,520 --> 00:48:42,560 Speaker 1: a breakfast? Is over? Okay, I'll just have a cup 810 00:48:42,600 --> 00:48:46,920 Speaker 1: of water. Sorry, I gotta go. Yeah, Versus if you're 811 00:48:46,960 --> 00:48:49,280 Speaker 1: in an app and it just said no breakfast. You're like, fine, 812 00:48:49,320 --> 00:48:54,360 Speaker 1: fucking seven cheeseburgers. I can't go out empty handed. The 813 00:48:54,400 --> 00:48:57,080 Speaker 1: other part of me also doesn't want to in my mind, 814 00:48:57,200 --> 00:48:59,560 Speaker 1: like the person working at the restaurant's judging me for 815 00:48:59,640 --> 00:49:01,759 Speaker 1: to get something small. That's what I think it is. 816 00:49:02,520 --> 00:49:05,520 Speaker 1: That's what I think it is, is that the judgment, 817 00:49:05,760 --> 00:49:10,440 Speaker 1: like because I think there is inherently a assumption of 818 00:49:10,880 --> 00:49:14,120 Speaker 1: like this is a guilty pleasure, Like nobody is of 819 00:49:14,160 --> 00:49:18,840 Speaker 1: the opinion these days that fast food is like a healthy, sustainable, 820 00:49:19,080 --> 00:49:24,919 Speaker 1: uh you know, option for feeding yourself. But by first 821 00:49:24,960 --> 00:49:27,560 Speaker 1: of all, removing all friction from the ordering process, so 822 00:49:27,600 --> 00:49:29,680 Speaker 1: it's just like another game you're playing on your phone, 823 00:49:30,080 --> 00:49:34,279 Speaker 1: and also like just getting rid of the person who 824 00:49:34,360 --> 00:49:37,839 Speaker 1: is even if they're serving you with a smile and 825 00:49:37,880 --> 00:49:41,240 Speaker 1: saying have your way, you're still like this is feels 826 00:49:41,239 --> 00:49:45,400 Speaker 1: a little weird that I'm clearly by myself and getting 827 00:49:45,440 --> 00:49:51,040 Speaker 1: to Whopper meals um on the app, right, and yeah, 828 00:49:51,080 --> 00:49:54,600 Speaker 1: they're just data collection is the name of the game. 829 00:49:54,719 --> 00:49:56,759 Speaker 1: It's just like I guess, like in the hopes that 830 00:49:57,000 --> 00:49:59,400 Speaker 1: there's like all kinds of tracking stuff built into the 831 00:49:59,440 --> 00:50:02,960 Speaker 1: app that you're consenting to essentially, and then as well. 832 00:50:03,040 --> 00:50:06,440 Speaker 1: They also are able to collect all sorts of information 833 00:50:07,160 --> 00:50:10,160 Speaker 1: based on the other things you use, Like they will 834 00:50:10,200 --> 00:50:14,240 Speaker 1: be able to tell what other musicians you like enough 835 00:50:14,280 --> 00:50:18,319 Speaker 1: to buy a meal based on them calling that's their meal, 836 00:50:19,040 --> 00:50:22,040 Speaker 1: oh right, because they're like we found a huge overlap 837 00:50:22,080 --> 00:50:25,640 Speaker 1: between McDonald's customers and people who love the Chronic two 838 00:50:25,680 --> 00:50:31,120 Speaker 1: thousand one. And then suddenly it's like, hey man, you 839 00:50:31,120 --> 00:50:34,279 Speaker 1: want you want to get that dray meal And then yeah, 840 00:50:34,640 --> 00:50:38,120 Speaker 1: the old millennial in music, Wait, there's a doctor dray meal. 841 00:50:39,920 --> 00:50:42,279 Speaker 1: That would be interesting if we start seeing, you know, 842 00:50:42,600 --> 00:50:46,759 Speaker 1: sponsored meals based around celebrities, you'd never like the way 843 00:50:46,760 --> 00:50:50,000 Speaker 1: that you know, Netflix will green light these shows that 844 00:50:50,040 --> 00:50:53,320 Speaker 1: are clearly like based on some then diagram and a 845 00:50:53,400 --> 00:50:57,200 Speaker 1: Netflix executive's office, like The Ranch, which I think was 846 00:50:57,280 --> 00:51:00,799 Speaker 1: the best example that the Two and a half Men 847 00:51:00,920 --> 00:51:07,920 Speaker 1: meets like George W. Bush, Like that's perfect, perfect blocks 848 00:51:08,040 --> 00:51:10,440 Speaker 1: right in. Haven't do you any of you have food apps, 849 00:51:11,080 --> 00:51:17,839 Speaker 1: like like delivery apps are the one specific I got 850 00:51:17,880 --> 00:51:20,200 Speaker 1: Taco Time, but you guys might not know what Taco 851 00:51:20,239 --> 00:51:24,440 Speaker 1: Time is. No Taco Taco Times like a really nice 852 00:51:25,360 --> 00:51:29,600 Speaker 1: chain restaurant fast food. That's only I think in Washington 853 00:51:29,680 --> 00:51:32,720 Speaker 1: and maybe organ and they're you know, they pay fifteen 854 00:51:32,719 --> 00:51:36,160 Speaker 1: dollars an hour. There's like pretty nice benefits for their employees. 855 00:51:36,200 --> 00:51:38,479 Speaker 1: It's kind of a nice fast food place, I think. 856 00:51:38,800 --> 00:51:41,759 Speaker 1: And they use like local ingredients and all the time, 857 00:51:41,800 --> 00:51:46,040 Speaker 1: and it's good. It's really good, fresh American Mexican food, 858 00:51:46,160 --> 00:51:50,239 Speaker 1: so you know, it's it's kind of like Taco Bell, 859 00:51:50,360 --> 00:51:53,520 Speaker 1: but a little bit nicer. So I used their app 860 00:51:53,640 --> 00:51:56,000 Speaker 1: and I love them. I don't know, so how do 861 00:51:56,040 --> 00:51:57,960 Speaker 1: you how do you use an app? Like? Is it 862 00:51:58,120 --> 00:52:00,120 Speaker 1: I just order and then I pick it up so 863 00:52:00,200 --> 00:52:02,560 Speaker 1: I just can like walk in and grab my bag food. 864 00:52:02,680 --> 00:52:07,560 Speaker 1: That's what I Yeah, yeah, but sometimes I feel like, 865 00:52:07,560 --> 00:52:11,720 Speaker 1: excuse me, excuse me, you've left your other bags. That's 866 00:52:11,760 --> 00:52:14,200 Speaker 1: for someone else. No way, who would would order that much? 867 00:52:15,480 --> 00:52:19,600 Speaker 1: Come back in with a different hat on, like you're 868 00:52:19,680 --> 00:52:23,000 Speaker 1: Chelsea from earlier, right, yeah, just float up his wheelbarrow. 869 00:52:23,000 --> 00:52:26,080 Speaker 1: I gotta go. Just don't look at me, look at it. 870 00:52:26,280 --> 00:52:30,359 Speaker 1: Just turn around. Oh it really does? It looks like yeah, 871 00:52:30,480 --> 00:52:33,280 Speaker 1: like if Taco Bell grew up in a two parent household, 872 00:52:35,880 --> 00:52:39,440 Speaker 1: it's really well adjusted. Yeah. Like when I look at 873 00:52:39,520 --> 00:52:41,719 Speaker 1: like the food makes me like oh wow, Like y'all 874 00:52:41,719 --> 00:52:45,520 Speaker 1: talk to dinners. Wow, that's cool. That's had a nice 875 00:52:45,520 --> 00:52:47,680 Speaker 1: taco time. I hope you had had a good time 876 00:52:47,719 --> 00:52:51,759 Speaker 1: with your parents. Meanwhile, we're in Taco Bell living bos 877 00:52:52,600 --> 00:52:59,080 Speaker 1: like miscreens, that's amazing food apps. Let us know the 878 00:52:59,080 --> 00:53:01,920 Speaker 1: best ones. I know, Loft is all in on that 879 00:53:02,000 --> 00:53:05,799 Speaker 1: Duncan one like that. We're doing a story about how 880 00:53:05,880 --> 00:53:08,759 Speaker 1: they're like just mining us for data, and we're like, hey, 881 00:53:08,840 --> 00:53:13,719 Speaker 1: let us know the best ones. Though, I wish I 882 00:53:13,800 --> 00:53:17,319 Speaker 1: had that got best the best? Yeah, I'm saying that 883 00:53:17,360 --> 00:53:20,960 Speaker 1: there was a Miley Cyrus burrito. There was. I didn't. 884 00:53:20,960 --> 00:53:24,279 Speaker 1: I never heard about that, which feels shocking it that 885 00:53:24,360 --> 00:53:28,279 Speaker 1: one was. I forget what was in it. It was 886 00:53:28,320 --> 00:53:32,920 Speaker 1: also weird because they acted like it was a organic 887 00:53:33,000 --> 00:53:39,480 Speaker 1: conversation struck up between Chippotle and Miley c IRUs. They 888 00:53:39,520 --> 00:53:41,920 Speaker 1: shared a short video of someone holding up a wrapped 889 00:53:41,960 --> 00:53:45,160 Speaker 1: burrito with the name Miley, along with the words if 890 00:53:45,200 --> 00:53:48,800 Speaker 1: Miley Cyrus comments, will make a Miley burrito and arab 891 00:53:49,480 --> 00:53:52,399 Speaker 1: and then Miley Cirius commented, only if you name it 892 00:53:52,600 --> 00:53:57,640 Speaker 1: the guacas extra, but so is Miley burrito? Uh? And 893 00:53:58,520 --> 00:54:03,480 Speaker 1: they were like, oh she she commented, that's so wild. 894 00:54:03,600 --> 00:54:08,480 Speaker 1: What a organic unplanned moment um. Now we have a 895 00:54:09,280 --> 00:54:16,239 Speaker 1: last night on the deal. Anyways, it's embarrassing the Miley Burrier, 896 00:54:16,239 --> 00:54:19,480 Speaker 1: who was really good. Those guys all right, well that 897 00:54:19,920 --> 00:54:23,600 Speaker 1: is going to do it. Chelsea as always such a 898 00:54:23,640 --> 00:54:27,600 Speaker 1: pleasure having you on the show. Where can people find 899 00:54:27,600 --> 00:54:31,040 Speaker 1: you and follow you? Let's see Twitter is at a 900 00:54:31,200 --> 00:54:36,120 Speaker 1: Mayor Hysteria and Instagram is at American Hysteria podcast. Yeah, 901 00:54:36,239 --> 00:54:38,439 Speaker 1: and is there a tweet or some of the work 902 00:54:38,560 --> 00:54:41,560 Speaker 1: of social media you've been enjoying. Yeah, I got one 903 00:54:41,600 --> 00:54:46,520 Speaker 1: for you. It's from at Ashanti. That's U H, s 904 00:54:46,719 --> 00:54:50,080 Speaker 1: H A and t I and it is carry yourself 905 00:54:50,160 --> 00:54:53,880 Speaker 1: with the confidence Carry yourself with the confidence of Elizabeth 906 00:54:53,880 --> 00:54:59,200 Speaker 1: Holmes at Burning Man, which you know is it's own conversation. 907 00:54:59,239 --> 00:55:03,080 Speaker 1: But I'm of course obsessed with the farness trial and uh, 908 00:55:03,200 --> 00:55:05,560 Speaker 1: the fact that she went to Burning Man with and 909 00:55:05,600 --> 00:55:09,040 Speaker 1: I had a baby with some dude and it's fantastic. 910 00:55:09,280 --> 00:55:12,600 Speaker 1: Oh yeah, she she went to Burning Man. She's got 911 00:55:12,640 --> 00:55:17,000 Speaker 1: some new like young horrible boyfriend, and they they're just 912 00:55:17,040 --> 00:55:19,160 Speaker 1: pictures of them from Burning Man where they're just having 913 00:55:19,239 --> 00:55:22,799 Speaker 1: like the greatest possible time and it's just you know, 914 00:55:23,080 --> 00:55:27,920 Speaker 1: there's no trial in Elizabeth Holmes mind. So yeah, yeah, Miles, 915 00:55:27,920 --> 00:55:30,080 Speaker 1: where can people find you? What the tweet you've been enjoying? 916 00:55:30,400 --> 00:55:33,720 Speaker 1: You can find me on Twitter and Instagram at Miles 917 00:55:33,719 --> 00:55:36,200 Speaker 1: of grade g R A Y and the other podcast 918 00:55:36,360 --> 00:55:40,600 Speaker 1: it's about fiance, but it's called four Day Fiance with Sophia, 919 00:55:40,640 --> 00:55:43,759 Speaker 1: Alexandra and I. It's just all ninety day the whole time. 920 00:55:43,800 --> 00:55:47,280 Speaker 1: A tweet I like is from Hannah Lynn at hand Franny. 921 00:55:47,680 --> 00:55:50,160 Speaker 1: She tweeted, I have read this sentence forty times in 922 00:55:50,200 --> 00:55:53,040 Speaker 1: a row. And it is a quote tweet from a 923 00:55:53,239 --> 00:55:55,200 Speaker 1: l dot com and it's a picture of a man 924 00:55:55,400 --> 00:55:58,680 Speaker 1: kissing an a possum and it says bear with me 925 00:55:58,719 --> 00:56:01,280 Speaker 1: now because this is a very death sentence. It says 926 00:56:02,440 --> 00:56:06,279 Speaker 1: one of the most sought boudoir photographers in the Southeast 927 00:56:06,360 --> 00:56:10,800 Speaker 1: and champion barrel racer Matt Matthews is fighting back after 928 00:56:10,840 --> 00:56:17,000 Speaker 1: he says state officials swarmed his property and took his opossum. Wow. 929 00:56:17,320 --> 00:56:19,960 Speaker 1: I did not know I would be experiencing that entire 930 00:56:20,000 --> 00:56:22,920 Speaker 1: combination of words. That was a feature film in that 931 00:56:22,920 --> 00:56:27,000 Speaker 1: one sense. Dude, it You're like, what kind of who? 932 00:56:27,200 --> 00:56:29,200 Speaker 1: What's your friend group? Like? You're like, I'm a boodoar 933 00:56:29,280 --> 00:56:32,879 Speaker 1: photographer almost a champion barrel racer. I got my pet 934 00:56:32,880 --> 00:56:37,680 Speaker 1: apossum and I got rights tweet. I've been enjoining Sean 935 00:56:37,719 --> 00:56:41,040 Speaker 1: Clement's tweeted when someone says they're their own harshest critic, 936 00:56:41,080 --> 00:56:42,759 Speaker 1: I think, oh good, they don't know what I said 937 00:56:42,760 --> 00:56:46,879 Speaker 1: about them. Uh, and Caleb and NYC tweeted, probably gonna 938 00:56:46,920 --> 00:56:51,960 Speaker 1: have to do more ship tomorrow. Unbelievable. Just a great 939 00:56:52,360 --> 00:56:55,640 Speaker 1: uh beginning of the week. Thought, Uh, you can find 940 00:56:55,680 --> 00:56:58,439 Speaker 1: me on Twitter at Jack Underscore. O'Brien, you can find 941 00:56:58,520 --> 00:57:00,360 Speaker 1: us on Twitter at Daily Zyke. I were at the 942 00:57:00,480 --> 00:57:03,240 Speaker 1: Daily Zygeist on Instagram. We have a Facebook fan page 943 00:57:03,560 --> 00:57:06,080 Speaker 1: and a website Daily zygis dot com. Or we post 944 00:57:06,120 --> 00:57:09,160 Speaker 1: our episode then our foot note were we link off 945 00:57:09,160 --> 00:57:11,319 Speaker 1: to the information that we talked about today's episode, as 946 00:57:11,360 --> 00:57:13,520 Speaker 1: well as a song that we think you might enjoy. Miles, 947 00:57:13,520 --> 00:57:16,760 Speaker 1: what song are we sending them to today? This is 948 00:57:16,800 --> 00:57:21,680 Speaker 1: called poll Bo by Mr twin Sister. Mr twins Sister 949 00:57:22,000 --> 00:57:25,040 Speaker 1: like very dolpe, you know, Latin vibe they've just got. 950 00:57:25,680 --> 00:57:28,800 Speaker 1: There's like really eclectic production on it, and it sounds 951 00:57:28,800 --> 00:57:31,600 Speaker 1: like a fever dream, like you know, like someone put 952 00:57:31,640 --> 00:57:35,040 Speaker 1: acid in your taco time and yeah, it's just it's 953 00:57:35,080 --> 00:57:37,360 Speaker 1: just a generally dope track and all their music is 954 00:57:37,400 --> 00:57:40,439 Speaker 1: super super cool. So this is poll Boll by Mr 955 00:57:40,480 --> 00:57:43,680 Speaker 1: twin Sister. Alright, well, The Daily Zyke is a production 956 00:57:43,680 --> 00:57:47,040 Speaker 1: of I Heart Radio More podcast, My Heart Radio, visit 957 00:57:47,080 --> 00:57:49,600 Speaker 1: the Heart Radio app, Apple podcast, or wherever you listen 958 00:57:49,600 --> 00:57:52,040 Speaker 1: to your favorite shows. That's gonna do it for us 959 00:57:52,080 --> 00:57:54,200 Speaker 1: this morning, but we're back to this afternoon. Should tell 960 00:57:54,240 --> 00:57:56,480 Speaker 1: you what is trending. We'll talk to you all then 961 00:57:56,760 --> 00:58:02,680 Speaker 1: I that true effort