1 00:00:00,080 --> 00:00:03,600 Speaker 1: Hello the Internet, and welcome to Season to fourteen, episode 2 00:00:03,600 --> 00:00:07,520 Speaker 1: one of Joe Daly's Guys to Protection of My Heart Radio. 3 00:00:07,920 --> 00:00:10,879 Speaker 1: This is a podcast where we take a deep dive 4 00:00:11,240 --> 00:00:16,079 Speaker 1: into america share consciousness. And it's Monday, December six which 5 00:00:16,480 --> 00:00:18,320 Speaker 1: I don't think I have to tell him, do I? Miles? 6 00:00:18,960 --> 00:00:20,720 Speaker 1: Do we even have to tell him what they? I don't. 7 00:00:20,800 --> 00:00:23,599 Speaker 1: I don't. I mean, it's to the point where it's 8 00:00:23,600 --> 00:00:25,400 Speaker 1: not as if I even have to look it up. 9 00:00:25,680 --> 00:00:28,480 Speaker 1: But I know, you know, I think everybody knows that 10 00:00:28,600 --> 00:00:33,880 Speaker 1: December sixth, right, we all know that's a National GUO Day, 11 00:00:34,760 --> 00:00:39,280 Speaker 1: Microwave oven Day, National Miner's Day as in mining not 12 00:00:39,680 --> 00:00:42,440 Speaker 1: m I N O R s, and National Pawnbroker's Day, 13 00:00:42,880 --> 00:00:48,919 Speaker 1: damn all the greats. Well, my name is Jack O'Brien, 14 00:00:49,040 --> 00:00:52,320 Speaker 1: a k armand from zite Lotus. One of the local 15 00:00:52,440 --> 00:00:57,640 Speaker 1: likes from my days as a mustachio gentleman that I 16 00:00:57,960 --> 00:01:00,880 Speaker 1: liked the most and I forgot to it before, so 17 00:01:01,560 --> 00:01:04,080 Speaker 1: bringing it here and I'm thrilled to be joined as 18 00:01:04,120 --> 00:01:08,200 Speaker 1: always by my co host Mr Miles. Just feel that 19 00:01:08,520 --> 00:01:14,640 Speaker 1: arm fat tingling antibodies mingling through. Let's get fact up together. 20 00:01:14,760 --> 00:01:18,080 Speaker 1: So we don't get on the kron to. Okay, shout 21 00:01:18,120 --> 00:01:22,360 Speaker 1: out to the row for that wonderful slate ride Vax Collabo. 22 00:01:22,680 --> 00:01:25,560 Speaker 1: Oh and yes the last one, I I went a 23 00:01:25,640 --> 00:01:28,199 Speaker 1: foul used a bit of a slur for the last 24 00:01:28,280 --> 00:01:30,400 Speaker 1: a case and not have used the term in the 25 00:01:30,520 --> 00:01:33,640 Speaker 1: other A k A are referring to Innuit people. So apologies. 26 00:01:33,680 --> 00:01:36,520 Speaker 1: People educated me on that. So now and okay, you 27 00:01:36,560 --> 00:01:39,400 Speaker 1: know what I mean. It's about growth, But yes, apologies, 28 00:01:39,440 --> 00:01:41,959 Speaker 1: but thank you for the education because we all, yeah, 29 00:01:42,640 --> 00:01:45,880 Speaker 1: we're all growing. We're all here growing well, miles. We 30 00:01:45,959 --> 00:01:48,840 Speaker 1: are thrilled to be joined in our third seat by 31 00:01:49,040 --> 00:01:52,160 Speaker 1: a hilarious writer and stand up who you've seen on 32 00:01:52,840 --> 00:01:56,320 Speaker 1: Colbert Cordon Conan, All the all the Sea Names. He 33 00:01:56,800 --> 00:02:00,480 Speaker 1: was also the host of the Emmy nominated People Talking 34 00:02:00,560 --> 00:02:04,040 Speaker 1: Sports on MSG, which is just some real New York ship. 35 00:02:04,640 --> 00:02:08,800 Speaker 1: Please welcome. The very funny, the very talented Sam Morea 36 00:02:11,040 --> 00:02:14,359 Speaker 1: was having me. Guys, I appreciate the energy. I need this. 37 00:02:14,440 --> 00:02:17,160 Speaker 1: I'm on the road. Three coffees ain't enough. This is 38 00:02:17,440 --> 00:02:20,399 Speaker 1: I need. I need this man, Yeah, yeah, right into 39 00:02:20,440 --> 00:02:23,240 Speaker 1: the veins. Yeah, Sam, where are you coming to us from? 40 00:02:23,720 --> 00:02:27,320 Speaker 1: I'm in Charlotte, North Carolina. Yeah, I think I'm in 41 00:02:27,360 --> 00:02:29,560 Speaker 1: a nice part of town. I just tried to get 42 00:02:29,600 --> 00:02:31,359 Speaker 1: a hair My hair is getting long. I just tried 43 00:02:31,400 --> 00:02:35,040 Speaker 1: to get a haircut and I called the place right 44 00:02:35,120 --> 00:02:37,480 Speaker 1: by me and I was like, how much for a haircutting? 45 00:02:37,480 --> 00:02:39,840 Speaker 1: The lady said ninety one dollars and I had to 46 00:02:40,120 --> 00:02:42,280 Speaker 1: I had to act like I wasn't horrified and all that. 47 00:02:42,360 --> 00:02:51,520 Speaker 1: Wait today, it's crazy off the wait for a twy 48 00:02:51,880 --> 00:02:56,079 Speaker 1: one in New York. Off the way, damn damn Charlotte 49 00:02:56,520 --> 00:02:59,440 Speaker 1: with the expensive cuts. They're gonna hit you with like 50 00:02:59,520 --> 00:03:04,079 Speaker 1: a full shampoo shower, Like I assume, I mean, that's 51 00:03:04,160 --> 00:03:06,560 Speaker 1: that's a lot, but you know it's all way up. 52 00:03:06,600 --> 00:03:08,919 Speaker 1: But yeah, the club here's Comedy Zone. It's pretty cool. 53 00:03:09,200 --> 00:03:11,880 Speaker 1: It's been a good time. So two more nights. Nice. 54 00:03:12,200 --> 00:03:14,200 Speaker 1: I love that move. Or like you asked about something 55 00:03:14,280 --> 00:03:16,440 Speaker 1: and it's way too expensive, but you don't want to 56 00:03:16,440 --> 00:03:19,720 Speaker 1: be like god damn that kind of money, so you're 57 00:03:19,760 --> 00:03:23,760 Speaker 1: like mm hmmmm, and that's just for a regular cut. Okay. 58 00:03:24,320 --> 00:03:27,440 Speaker 1: Oh yeah. It was Billy with my friend Gary Gary Viter, 59 00:03:27,520 --> 00:03:29,959 Speaker 1: were walking around the Uh. We just look into a 60 00:03:30,000 --> 00:03:31,639 Speaker 1: clothing store and I was like, oh, this way, Jack 61 00:03:31,680 --> 00:03:34,000 Speaker 1: it's kind and I said, kind of nice, come on, 62 00:03:34,360 --> 00:03:36,080 Speaker 1: and then we look at the price second with twelve 63 00:03:36,200 --> 00:03:38,440 Speaker 1: hundred dollars, and we just had to be like, let's 64 00:03:38,480 --> 00:03:41,000 Speaker 1: just take one lap around so I don't think we're trash. 65 00:03:41,320 --> 00:03:47,360 Speaker 1: And one lap and we're out. Oh oh, I thought 66 00:03:47,480 --> 00:03:51,760 Speaker 1: this was a higher quality swede. Apparently this is lowbrow. 67 00:03:52,040 --> 00:03:57,080 Speaker 1: Never mind Corinthian Swede. Sam, You're you're normally from New York, 68 00:03:57,240 --> 00:04:00,680 Speaker 1: which not known for its like a reasonable bowl prices. 69 00:04:00,840 --> 00:04:04,200 Speaker 1: I guess mostly on rent, though, is it our hair cuts? 70 00:04:04,480 --> 00:04:07,200 Speaker 1: Like I've I lived in New York for a little while, 71 00:04:07,280 --> 00:04:11,320 Speaker 1: I remember actually haircuts being pretty reasonably probas that's the 72 00:04:11,360 --> 00:04:13,960 Speaker 1: thing about New York. Everyone thinks it's expensive, and it is, 73 00:04:14,280 --> 00:04:17,720 Speaker 1: but there's so much, you know, there's so much competition 74 00:04:17,839 --> 00:04:19,680 Speaker 1: that you have to you're not gonna stay open. If 75 00:04:19,720 --> 00:04:23,520 Speaker 1: you're charging forty for haircut, you give me one bad haircut, 76 00:04:23,560 --> 00:04:25,039 Speaker 1: I'm like, I'm not going back to the forty five 77 00:04:25,080 --> 00:04:28,160 Speaker 1: dollar place, you know, right, Yeah, yeah, yeah. I never 78 00:04:28,279 --> 00:04:31,240 Speaker 1: like settled on a single place to get my hair 79 00:04:31,279 --> 00:04:33,560 Speaker 1: cut when I lived in New York. And one time, 80 00:04:34,040 --> 00:04:35,640 Speaker 1: it was the day of the Super Bowl, I was 81 00:04:35,640 --> 00:04:38,560 Speaker 1: going to a super Bowl party. It took a lot 82 00:04:38,680 --> 00:04:40,360 Speaker 1: longer than I expected. So I was kind of like, 83 00:04:40,400 --> 00:04:43,040 Speaker 1: all right, let's let's get it moving here. All right, 84 00:04:43,080 --> 00:04:45,920 Speaker 1: I'm gonna I'm gonna just leave. And I think he 85 00:04:46,080 --> 00:04:48,440 Speaker 1: thought I was saying we're good here, like I I 86 00:04:49,040 --> 00:04:52,279 Speaker 1: don't need you to continue the haircut because I showed 87 00:04:52,360 --> 00:04:55,040 Speaker 1: up at home and my wife and for me that 88 00:04:55,120 --> 00:04:58,960 Speaker 1: I had a long rat tail in the back. And 89 00:04:59,040 --> 00:05:00,720 Speaker 1: then I just got I got to show up to 90 00:05:01,080 --> 00:05:03,320 Speaker 1: the super Bowl party rock and that it was actually 91 00:05:03,360 --> 00:05:05,760 Speaker 1: a lot of fun. But like you're a Buccaneers fan, 92 00:05:07,560 --> 00:05:09,640 Speaker 1: you know we uh. I used to do that too. 93 00:05:09,839 --> 00:05:12,279 Speaker 1: I would go to the to get a cheap haircut. 94 00:05:12,320 --> 00:05:13,960 Speaker 1: Back in the day. I would go to the student 95 00:05:14,040 --> 00:05:17,400 Speaker 1: barber's downtown in the East Village and they some of 96 00:05:17,440 --> 00:05:19,600 Speaker 1: them just did not give a crap. So you get 97 00:05:19,640 --> 00:05:21,600 Speaker 1: a guy. I remember I got a guy. Some guy 98 00:05:21,680 --> 00:05:23,840 Speaker 1: goes lunch break and he goes thank God, and he 99 00:05:23,960 --> 00:05:26,520 Speaker 1: just left me. Like I was like, all right, I 100 00:05:26,600 --> 00:05:29,480 Speaker 1: guess I guess this is my haircut now. Yeah, that 101 00:05:29,560 --> 00:05:32,120 Speaker 1: happens happens at the barber shop. I remember, Yeah, back 102 00:05:32,120 --> 00:05:33,880 Speaker 1: when I had hairs that I would pay to get cut. 103 00:05:34,360 --> 00:05:36,280 Speaker 1: That was always the fun of like when you get 104 00:05:36,320 --> 00:05:37,880 Speaker 1: in the barber's share and they will get a phone 105 00:05:37,880 --> 00:05:39,200 Speaker 1: call and they're like, hey, hold up one second, bro, 106 00:05:39,240 --> 00:05:42,200 Speaker 1: I gotta take this. And they start having a full 107 00:05:42,240 --> 00:05:44,000 Speaker 1: off fight with somebody on their cell phone on the 108 00:05:44,080 --> 00:05:46,960 Speaker 1: street and you're like, bro, please, I'm trying to make 109 00:05:47,000 --> 00:05:50,040 Speaker 1: a fucking appointment in a second. But yeah, you don't 110 00:05:50,080 --> 00:05:52,120 Speaker 1: know if they're like Woody Harrelson and white men can't 111 00:05:52,160 --> 00:05:55,280 Speaker 1: jump and they play better when they're angry, or they 112 00:05:55,360 --> 00:05:57,600 Speaker 1: might be exactly they come back, or they'll just be 113 00:05:57,720 --> 00:06:03,880 Speaker 1: like edging you have like this is like bro, and like, yeah, 114 00:06:03,880 --> 00:06:07,560 Speaker 1: I'm good man, I'm good man, Micro's tripping man. Wherever 115 00:06:07,680 --> 00:06:09,760 Speaker 1: I go, they always have the soccer game on, which, like, 116 00:06:09,839 --> 00:06:12,160 Speaker 1: it does not make you feel great that someone's holding 117 00:06:12,240 --> 00:06:15,479 Speaker 1: something that sharp to your head. I'm a next fan. 118 00:06:15,640 --> 00:06:17,480 Speaker 1: If there was a game on, I would not be 119 00:06:17,560 --> 00:06:20,080 Speaker 1: given a good haircut. You know, it freaks me out 120 00:06:20,120 --> 00:06:22,080 Speaker 1: a little bit, but I just sort of out of 121 00:06:22,200 --> 00:06:24,400 Speaker 1: like you just be completely unfocused on You're like, oh 122 00:06:24,520 --> 00:06:27,679 Speaker 1: for sure, yeah, and also I mean that's a bad game. 123 00:06:28,040 --> 00:06:31,440 Speaker 1: You know, I don't know, but yeah, it's it's you 124 00:06:31,520 --> 00:06:35,640 Speaker 1: can tell it's not like the most important gig. Yeah, 125 00:06:35,920 --> 00:06:38,360 Speaker 1: if they're a sporting event on yeah, yeah, you can 126 00:06:38,640 --> 00:06:42,200 Speaker 1: quickly see priorities come to the surface for sure. Yeah, 127 00:06:42,279 --> 00:06:46,000 Speaker 1: and one basket is not gonna usually like change someone's 128 00:06:46,000 --> 00:06:49,080 Speaker 1: emotions that much in hoops, but in soccer, like that's 129 00:06:49,400 --> 00:06:52,160 Speaker 1: that's it's a lot. Yeah, one goal can be like 130 00:06:52,240 --> 00:06:54,120 Speaker 1: I don't give a funk man, Sorry I funked up 131 00:06:54,160 --> 00:06:56,280 Speaker 1: your hair, But that was that was huge for me. 132 00:06:57,160 --> 00:06:58,880 Speaker 1: So I had an early joke in my act. I 133 00:06:58,960 --> 00:07:01,280 Speaker 1: was like, you can tell whatever music they're playing at 134 00:07:01,560 --> 00:07:04,160 Speaker 1: the barbershop, that's the haircut you're gonna get. And that 135 00:07:04,200 --> 00:07:07,240 Speaker 1: would just be like Armenian hip hop, that's right here. 136 00:07:08,600 --> 00:07:10,640 Speaker 1: We know there, it is, there, it is. It doesn't 137 00:07:10,680 --> 00:07:12,720 Speaker 1: matter your haircut. That gets a laugh no matter what, 138 00:07:13,520 --> 00:07:15,640 Speaker 1: because no one knows what the hell Armenian hip hop is. 139 00:07:17,600 --> 00:07:20,800 Speaker 1: Valley Baby, Yeah, there' as a lot of Armenia rappers 140 00:07:20,840 --> 00:07:25,480 Speaker 1: out here. It would normally be shaved down if yeah, yeah, 141 00:07:25,480 --> 00:07:28,560 Speaker 1: that was like that's the Glendale Armenia rapper. Look for sure, 142 00:07:29,080 --> 00:07:32,480 Speaker 1: I do that. So haircuts and I think nails are 143 00:07:32,560 --> 00:07:34,920 Speaker 1: two of the things that actually the price goes down 144 00:07:35,000 --> 00:07:37,680 Speaker 1: when you live in a city whereas everything else is 145 00:07:38,160 --> 00:07:41,000 Speaker 1: more expensive. But there's got to be like I'm sure 146 00:07:41,040 --> 00:07:43,840 Speaker 1: economists have like come up with the name for that. 147 00:07:44,160 --> 00:07:47,240 Speaker 1: But cool man. All right, Well, we're gonna get to 148 00:07:47,320 --> 00:07:49,200 Speaker 1: know you a little bit better in a moment. First, 149 00:07:49,200 --> 00:07:51,480 Speaker 1: we're gonna tell our listeners a couple of the things 150 00:07:51,560 --> 00:07:56,520 Speaker 1: we're talking about. The Missouri Republican Party does not like science. 151 00:07:56,600 --> 00:07:58,960 Speaker 1: We're gonna we're gonna look at that. It's a good 152 00:07:59,040 --> 00:08:01,520 Speaker 1: time that their time ming is good to to just 153 00:08:01,920 --> 00:08:04,280 Speaker 1: you know, give up on science. So we're gonna look 154 00:08:04,320 --> 00:08:07,960 Speaker 1: at how they are sharing that that viewpoint with with 155 00:08:08,080 --> 00:08:10,840 Speaker 1: the world. We're gonna talk about We're gonna ask and 156 00:08:11,040 --> 00:08:14,000 Speaker 1: answer the question who the fund is Dr Oz Why? 157 00:08:14,080 --> 00:08:16,400 Speaker 1: Why does he believe that he is the best person 158 00:08:17,000 --> 00:08:21,000 Speaker 1: to be a senator in Pennsylvania where his in laws 159 00:08:21,040 --> 00:08:24,920 Speaker 1: are from. Apparently we're gonna check in with the annual 160 00:08:25,160 --> 00:08:28,360 Speaker 1: Get Fucked Up Awards. We're gonna talk about all that 161 00:08:28,640 --> 00:08:31,160 Speaker 1: plenty more. But first, Sam, we do like to ask 162 00:08:31,280 --> 00:08:34,599 Speaker 1: our guests, what is something from your search history? You 163 00:08:34,679 --> 00:08:36,559 Speaker 1: know what? This is a bad one, but it's for 164 00:08:36,679 --> 00:08:38,800 Speaker 1: a joke. I should previsate it was for a joke. 165 00:08:39,760 --> 00:08:43,679 Speaker 1: Epstein's plane. Uh huh Express, it was. It was for 166 00:08:43,800 --> 00:08:46,439 Speaker 1: a bit I was working on because of the actual trial, 167 00:08:46,600 --> 00:08:49,480 Speaker 1: so I need a bit, but I wanted to give 168 00:08:49,600 --> 00:08:52,840 Speaker 1: context to that. Yeah, right, just being like how cool 169 00:08:53,000 --> 00:08:59,439 Speaker 1: was this plan Express? How much are these flight lugs 170 00:08:59,520 --> 00:09:03,439 Speaker 1: getting out there? Like if some like too three flights 171 00:09:03,520 --> 00:09:05,720 Speaker 1: on it, is it a big deal or what? Well, dude, 172 00:09:05,760 --> 00:09:07,800 Speaker 1: I'm on, I'm at the Comedy Zone in Charlotte. And 173 00:09:07,840 --> 00:09:09,760 Speaker 1: then a couple of weeks it's Chris Tucker and it's like, 174 00:09:09,800 --> 00:09:14,880 Speaker 1: you might know Money Talks Friday and Epstein's playing Apparently. 175 00:09:16,120 --> 00:09:18,400 Speaker 1: I was a huge Chris Tucker fan growing I mean, 176 00:09:18,800 --> 00:09:21,120 Speaker 1: but to me, Money Talks like that was as a kid. 177 00:09:21,200 --> 00:09:23,600 Speaker 1: I saw that in the theater like three times. Dude 178 00:09:23,679 --> 00:09:26,599 Speaker 1: Vic Demon Jr. Oh my god, he's so funny in that. 179 00:09:26,720 --> 00:09:32,680 Speaker 1: I that this Victmon. I mean, I love Chris Tuckers Friday. 180 00:09:32,760 --> 00:09:35,680 Speaker 1: Yeah it was Friday, but he went that that flight 181 00:09:35,800 --> 00:09:38,000 Speaker 1: was what to be like Bill Clinton and like South 182 00:09:38,080 --> 00:09:41,840 Speaker 1: Africa or something. Oh yeah, but he got brought up. 183 00:09:42,160 --> 00:09:45,599 Speaker 1: I think as like somebody that the pilot recognized. I 184 00:09:45,640 --> 00:09:47,280 Speaker 1: don't want to I don't want to put that out there. Well, 185 00:09:47,320 --> 00:09:49,760 Speaker 1: that's that's the one time I guess being recognizable worship 186 00:09:49,760 --> 00:09:51,400 Speaker 1: because I'm sure there's a bunch of people that people 187 00:09:51,400 --> 00:09:55,120 Speaker 1: will be like who, but that's uh, you know uh. 188 00:09:55,240 --> 00:09:57,280 Speaker 1: And even there was even like a quote with the pilots, 189 00:09:57,520 --> 00:09:59,559 Speaker 1: like I didn't see anything that weird and it was 190 00:09:59,600 --> 00:10:01,800 Speaker 1: one quote and you're like, well, if you saw Bill Clinton, 191 00:10:01,880 --> 00:10:05,679 Speaker 1: that's weird, Like just just me seeing Bill Clinton on 192 00:10:05,720 --> 00:10:08,160 Speaker 1: a commercial flight. That's like one of my best stories 193 00:10:08,320 --> 00:10:13,760 Speaker 1: in my life, right, jet right for weird for you 194 00:10:14,000 --> 00:10:17,559 Speaker 1: pilot person, you know, yeah, I think we might what 195 00:10:17,760 --> 00:10:21,440 Speaker 1: we might not be using having the same definition. That's right. 196 00:10:21,800 --> 00:10:25,200 Speaker 1: You probably you run private jets, so you probably jaded 197 00:10:25,280 --> 00:10:27,400 Speaker 1: as hell by celebrities at a certain point. I mean, 198 00:10:27,520 --> 00:10:31,000 Speaker 1: he was Epstein's like main dude. Like Epstein paid for 199 00:10:31,240 --> 00:10:34,360 Speaker 1: his children's college tuition and like bought his home, so 200 00:10:34,559 --> 00:10:38,480 Speaker 1: he was he was not just like an average jet pilot. 201 00:10:38,600 --> 00:10:42,280 Speaker 1: He was like his his whole claim that like I 202 00:10:42,520 --> 00:10:46,920 Speaker 1: never saw a underage woman without her parents. I'm gonna 203 00:10:47,120 --> 00:10:50,559 Speaker 1: I'm gonna say I'm I'm slightly skeptical. I'm gonna I'm 204 00:10:50,600 --> 00:10:53,319 Speaker 1: gonna say there there might be a at least a 205 00:10:53,480 --> 00:10:56,840 Speaker 1: single Pinocchio that might be awarded to that claim. That's 206 00:10:56,840 --> 00:10:59,679 Speaker 1: gotta be a weird life. They had the maid testified too. 207 00:11:00,000 --> 00:11:02,559 Speaker 1: You're like, what I mean the ship they these poor 208 00:11:02,679 --> 00:11:06,480 Speaker 1: people have saying you're just like Jesus Christ. Yeah, you 209 00:11:06,600 --> 00:11:08,800 Speaker 1: just think you're gonna like clean some billionaires home and 210 00:11:08,880 --> 00:11:10,720 Speaker 1: you see like a top list twenty two year old, 211 00:11:10,720 --> 00:11:13,400 Speaker 1: You're like, all right, this might be a lot. I 212 00:11:13,440 --> 00:11:18,319 Speaker 1: don't write. Yeah, the the advice that the advice that 213 00:11:18,400 --> 00:11:22,319 Speaker 1: made was told or I guess orders job description was 214 00:11:22,800 --> 00:11:27,200 Speaker 1: see nothing here nothing, say nothing, Yeah, which you can 215 00:11:27,280 --> 00:11:33,400 Speaker 1: avert your gaze, but you can't really avert your ears. Yeah, memory, Like, 216 00:11:33,520 --> 00:11:36,120 Speaker 1: I don't know how they just they should. They should 217 00:11:36,120 --> 00:11:39,679 Speaker 1: give these people, you know, noise canceling headphones. That's my 218 00:11:39,840 --> 00:11:46,640 Speaker 1: main note for the laborers of Jeffrey Epstein. Give them 219 00:11:46,640 --> 00:11:52,439 Speaker 1: at least noise canceling headphones. That would also be like, 220 00:11:52,520 --> 00:11:56,360 Speaker 1: if you're gonna like make like a movie where like 221 00:11:56,480 --> 00:11:58,679 Speaker 1: somebody's are creep that would be a good little like 222 00:11:58,840 --> 00:12:01,599 Speaker 1: specific to have in there is everybody works in the 223 00:12:01,640 --> 00:12:04,280 Speaker 1: house has like noise canceling headphones on the whole time. Sure, 224 00:12:04,400 --> 00:12:06,959 Speaker 1: I've always said bows, I've always said bows should like 225 00:12:07,000 --> 00:12:09,160 Speaker 1: get in on that, like, that's not the only advertise 226 00:12:09,200 --> 00:12:12,600 Speaker 1: you can do. Like, you know, I try to joke 227 00:12:12,679 --> 00:12:14,800 Speaker 1: once it never really worked where I said, uh, you 228 00:12:14,840 --> 00:12:17,280 Speaker 1: think anyone on nine eleven had noise canceling headphones and 229 00:12:17,320 --> 00:12:20,640 Speaker 1: they were the last to know? And because that's to me, 230 00:12:20,800 --> 00:12:22,840 Speaker 1: that's a good bows commercial. But the ad is, how 231 00:12:22,880 --> 00:12:25,199 Speaker 1: could you never forget if you never really knew? You know? 232 00:12:25,320 --> 00:12:27,880 Speaker 1: That's the Yeah, we can see why it didn't work. 233 00:12:27,880 --> 00:12:30,920 Speaker 1: I think it's funny. I think that I don't know. 234 00:12:31,320 --> 00:12:33,080 Speaker 1: You gave up on that one too soon. We'll give 235 00:12:33,120 --> 00:12:36,360 Speaker 1: it a shot tonight. We'll bring it back. You're inspired me. 236 00:12:36,720 --> 00:12:39,560 Speaker 1: When people were saying too soon loudly, they were saying, 237 00:12:39,600 --> 00:12:42,079 Speaker 1: you were giving up on this one too soon. You 238 00:12:42,120 --> 00:12:45,679 Speaker 1: should keep keep work shouting it. What is something you 239 00:12:45,720 --> 00:12:48,800 Speaker 1: think is overrated? Soon? Here's what I think is overrated? 240 00:12:48,920 --> 00:12:51,400 Speaker 1: Is is saying yes to too many things. Somebody, some 241 00:12:51,480 --> 00:12:53,880 Speaker 1: people will tell you, like you gotta live, you gotta 242 00:12:54,000 --> 00:12:56,560 Speaker 1: do everything. You gotta say yes to everything. I say 243 00:12:56,679 --> 00:12:59,000 Speaker 1: yes to so much stuff I should say no to, 244 00:12:59,720 --> 00:13:02,720 Speaker 1: and saying no is turned into one of the greatest 245 00:13:03,080 --> 00:13:07,280 Speaker 1: joys of my life. Is just being like no, it 246 00:13:07,400 --> 00:13:09,559 Speaker 1: feels good. I did. Uh. I was supposed to do 247 00:13:09,640 --> 00:13:11,360 Speaker 1: some gig and they were like, you gotta fly in 248 00:13:11,400 --> 00:13:13,400 Speaker 1: a day early for radio and I was like no, 249 00:13:13,720 --> 00:13:15,120 Speaker 1: and they were like you have to and I was 250 00:13:15,200 --> 00:13:18,280 Speaker 1: like no, and then they were like it's very important 251 00:13:18,320 --> 00:13:19,840 Speaker 1: for the gig and I was like okay. And then 252 00:13:19,880 --> 00:13:22,719 Speaker 1: the day before I was like, no, what are you 253 00:13:22,720 --> 00:13:25,599 Speaker 1: gonna do? Book a new comedian? No. They were like, 254 00:13:25,679 --> 00:13:30,480 Speaker 1: all right, that's all great, underrated saying no, yeah, but 255 00:13:30,640 --> 00:13:34,640 Speaker 1: morning radio you missed out the best parts of being 256 00:13:34,679 --> 00:13:36,520 Speaker 1: a stand up, right, didn't you get into it? For 257 00:13:36,960 --> 00:13:39,880 Speaker 1: getting on those morning waking up at thirty where I 258 00:13:40,000 --> 00:13:43,480 Speaker 1: used to purposely tank morning show spots just so they 259 00:13:43,520 --> 00:13:46,719 Speaker 1: would never have me back. I would go in and 260 00:13:46,800 --> 00:13:50,640 Speaker 1: say horrible ship on air to make and I in Pittsburgh, 261 00:13:50,720 --> 00:13:53,959 Speaker 1: they they stopped booking comedians. So if you're playing the 262 00:13:54,000 --> 00:13:56,520 Speaker 1: Pittsburgh improv and you don't have to do morning TV, 263 00:13:56,960 --> 00:13:59,920 Speaker 1: you're welcome. That's because because I did that and I 264 00:14:00,040 --> 00:14:02,840 Speaker 1: a loving joke over there, they didn't like it. Yeah, 265 00:14:03,040 --> 00:14:06,080 Speaker 1: the incentive structure for those doesn't doesn't really make sense. 266 00:14:06,240 --> 00:14:09,520 Speaker 1: We produce a podcast. This is important with the guys 267 00:14:09,559 --> 00:14:13,319 Speaker 1: from wor Acoholics and Blake, the guy with the long hair. 268 00:14:13,840 --> 00:14:16,559 Speaker 1: They were talking about this like legendary appearance that he 269 00:14:16,679 --> 00:14:21,160 Speaker 1: had where he like was booked on a local news 270 00:14:21,800 --> 00:14:25,520 Speaker 1: show the morning after the Warriors, which is his like 271 00:14:25,680 --> 00:14:28,760 Speaker 1: favorite NBA team won the championship, and he was just 272 00:14:28,920 --> 00:14:32,160 Speaker 1: like so hungover and accidentally said funk like three times. 273 00:14:32,560 --> 00:14:36,400 Speaker 1: But like that's the best thing possible for his career, 274 00:14:36,880 --> 00:14:39,520 Speaker 1: for the show he's promoting, because then it goes viral 275 00:14:39,760 --> 00:14:42,920 Speaker 1: and like the only people who it's bad for are 276 00:14:43,040 --> 00:14:45,760 Speaker 1: the people who are like booking him and dealing with 277 00:14:45,880 --> 00:14:48,080 Speaker 1: the complaints from the FCC or whatever, and you know, 278 00:14:48,160 --> 00:14:50,400 Speaker 1: and then also like they're all these fines and I'm like, 279 00:14:50,520 --> 00:14:53,240 Speaker 1: but are there really Remember I did a morning show 280 00:14:53,360 --> 00:14:55,960 Speaker 1: once and I was hungover and I was tired. It 281 00:14:56,040 --> 00:14:59,720 Speaker 1: was like a radio show, and I I accidentally told 282 00:14:59,800 --> 00:15:01,680 Speaker 1: us worry about getting a hand job in a town 283 00:15:01,800 --> 00:15:04,400 Speaker 1: car and they went to break and they go, you 284 00:15:04,480 --> 00:15:07,240 Speaker 1: could have gotten us fine two hundred thousand dollars in 285 00:15:07,400 --> 00:15:10,080 Speaker 1: every market, And I'm like, okay, so I just cost 286 00:15:10,120 --> 00:15:13,520 Speaker 1: you two point five two point six million that that story. 287 00:15:14,040 --> 00:15:17,920 Speaker 1: Yeah right, shut up, it's not that big a deal. Yeah, 288 00:15:18,120 --> 00:15:21,520 Speaker 1: they're like if anyone listened to our show, right, And like, 289 00:15:21,600 --> 00:15:23,760 Speaker 1: I remember when I worked at radio sometimes like rappers 290 00:15:23,800 --> 00:15:26,680 Speaker 1: would come on like freestyle and like start for getting 291 00:15:26,720 --> 00:15:30,000 Speaker 1: there on the radio and there, but there's a button 292 00:15:30,040 --> 00:15:31,760 Speaker 1: you know, to like just dump it just to be 293 00:15:31,880 --> 00:15:34,560 Speaker 1: like just because you know, there's a little bit of 294 00:15:34,640 --> 00:15:37,400 Speaker 1: a delay just for that. But I remember always being 295 00:15:37,440 --> 00:15:39,080 Speaker 1: they would always be like yo, I'm so I'm like, 296 00:15:39,160 --> 00:15:41,240 Speaker 1: I'm sorry in the host It's all good, bro, like, 297 00:15:41,320 --> 00:15:44,120 Speaker 1: don't worry about it. So based off so we had 298 00:15:44,200 --> 00:15:46,960 Speaker 1: very different versions of me seeing a situation where someone's 299 00:15:46,960 --> 00:15:49,120 Speaker 1: like yo, and fu blah blah blah, and you're like, 300 00:15:49,120 --> 00:15:51,960 Speaker 1: oh shit, it's even. Then the reaction seemed to be 301 00:15:52,320 --> 00:15:57,440 Speaker 1: it's nothing, but I don't know a deal from Arrested Development, 302 00:15:59,560 --> 00:16:02,840 Speaker 1: All right, what is something you think is underrated? Okay? 303 00:16:03,880 --> 00:16:11,720 Speaker 1: Everything bagel seasoning right now? I love it, dude. I 304 00:16:12,000 --> 00:16:14,000 Speaker 1: put it on so much stuff. I mean, I'll make 305 00:16:14,720 --> 00:16:17,600 Speaker 1: you know, I'll make my girlfriend like avocado toast. And 306 00:16:17,640 --> 00:16:20,840 Speaker 1: I started throwing that on there, blew her mind. She 307 00:16:21,000 --> 00:16:22,760 Speaker 1: was like, what the hell is this? And I was like, 308 00:16:23,000 --> 00:16:25,440 Speaker 1: you know, this is the perks of dating the Jew. 309 00:16:25,640 --> 00:16:29,440 Speaker 1: You get so many things I'll open your eyes to culturally. 310 00:16:29,560 --> 00:16:32,680 Speaker 1: You know, She's like, what how about some more of 311 00:16:32,760 --> 00:16:36,920 Speaker 1: that white fish Sally? Yeah, I love that, dude. I 312 00:16:36,960 --> 00:16:39,120 Speaker 1: shot the opening and one of my specials at Barney 313 00:16:39,160 --> 00:16:41,280 Speaker 1: Green Grass. I don't. I don't mess around. I did. 314 00:16:41,400 --> 00:16:44,800 Speaker 1: I didn't sketch in the opening at bar legendary New 315 00:16:44,920 --> 00:16:49,000 Speaker 1: York Jewish type deli food with great great spot Upper 316 00:16:49,040 --> 00:16:51,400 Speaker 1: West Side. Yeah, I was just I walked by there. 317 00:16:51,440 --> 00:16:53,560 Speaker 1: It was too crowded, so I went to Sa Bagel 318 00:16:54,160 --> 00:16:56,920 Speaker 1: and then get a trip at Russ and Daughters. You 319 00:16:56,960 --> 00:17:00,840 Speaker 1: know you're gonna do that, But I've got Trader Joe's, right, 320 00:17:00,880 --> 00:17:02,360 Speaker 1: did you Are you getting to that Trader Joe's because 321 00:17:02,360 --> 00:17:03,920 Speaker 1: I feel like that's where I started to see a 322 00:17:04,040 --> 00:17:07,159 Speaker 1: lot more everything bagel type of ship. But they have 323 00:17:07,359 --> 00:17:11,520 Speaker 1: everything bagel potato chips that I was like, okay, let me, 324 00:17:12,280 --> 00:17:15,000 Speaker 1: let me funk around really quick. And it was It 325 00:17:15,160 --> 00:17:17,000 Speaker 1: wasn't bad. I'm not gonna lie. It was a little 326 00:17:17,000 --> 00:17:19,680 Speaker 1: too salty from my taste, but having that flavor on 327 00:17:19,760 --> 00:17:23,120 Speaker 1: the chip was a bit of an experience. They're getting 328 00:17:23,119 --> 00:17:26,720 Speaker 1: a little reckless with the chip flavors. Yeah, I see dill, 329 00:17:26,800 --> 00:17:28,840 Speaker 1: pickle and I'm like, I've got to be hammered to 330 00:17:28,960 --> 00:17:32,200 Speaker 1: get dill pickle potato chips, you know, Like, I'm sure 331 00:17:32,240 --> 00:17:35,320 Speaker 1: it's fine, but like even like pepper and cheeney, I'm like, 332 00:17:35,440 --> 00:17:37,720 Speaker 1: what are we doing here, guys, Like, let's just have 333 00:17:37,880 --> 00:17:42,040 Speaker 1: some chips. Let's just cremon, onion, barbecue, salt and vinegar. 334 00:17:42,160 --> 00:17:44,600 Speaker 1: We're doing the classics and classics for It's like when 335 00:17:44,600 --> 00:17:46,359 Speaker 1: you go to a bar and they have these crazy 336 00:17:46,480 --> 00:17:49,040 Speaker 1: cocktails and you're like, you're getting a cocktail. You're gonna 337 00:17:49,040 --> 00:17:52,679 Speaker 1: get a class of cocktail. Let's be real, right, Unless 338 00:17:52,680 --> 00:17:55,240 Speaker 1: it's like something where it's like, oh, we use passion 339 00:17:55,400 --> 00:17:58,720 Speaker 1: fruit foam on the outs. I'm like, I'm like, well, 340 00:17:58,760 --> 00:18:03,679 Speaker 1: it's twenty three. So if you're gonna make like if 341 00:18:03,840 --> 00:18:05,359 Speaker 1: I'm gonna get some like cocktail, I'm gonna get like 342 00:18:05,400 --> 00:18:07,560 Speaker 1: a manhattanan and a groaning. I'm just getting something classic. 343 00:18:07,640 --> 00:18:11,000 Speaker 1: Unless they're like something you know you gotta have this right. 344 00:18:12,040 --> 00:18:14,080 Speaker 1: It kills me At some of these comedy clubs, I'm like, 345 00:18:14,119 --> 00:18:15,720 Speaker 1: can I get an a groaning? They're like, oh, we 346 00:18:15,840 --> 00:18:18,280 Speaker 1: don't have the ingredients. I'm like, well, I see, you 347 00:18:18,320 --> 00:18:20,720 Speaker 1: know how to make a yellow gummy bear over here. 348 00:18:22,160 --> 00:18:27,280 Speaker 1: You can't make it a groaning right, Classics, the Yellottle, 349 00:18:27,280 --> 00:18:31,680 Speaker 1: gummy Bear, the Manhattan you know, the first in all 350 00:18:31,720 --> 00:18:35,520 Speaker 1: of the bartending arts. All right, Sam, let's take a 351 00:18:35,640 --> 00:18:38,640 Speaker 1: quick break. We'll be right back to talk about some news. 352 00:18:49,520 --> 00:18:53,440 Speaker 1: And we're back, and you know, we we've seen a 353 00:18:53,640 --> 00:18:56,960 Speaker 1: general trend that is getting it seems like it's getting 354 00:18:57,000 --> 00:19:00,720 Speaker 1: more popular in in the country where they're getting tired 355 00:19:00,760 --> 00:19:03,760 Speaker 1: of the mask mandates in this country, I should say, 356 00:19:03,840 --> 00:19:07,120 Speaker 1: in particular, not around the world. People have generally gotten 357 00:19:07,119 --> 00:19:11,040 Speaker 1: their mind around masks across the globe, but in America 358 00:19:11,240 --> 00:19:16,000 Speaker 1: they're they're pissed. Man. Even as we have this new strain, 359 00:19:16,320 --> 00:19:19,560 Speaker 1: this new flavor of coronavirus breaking out, people are still 360 00:19:20,040 --> 00:19:22,919 Speaker 1: not having it. Yeah, I mean, it's it's been one 361 00:19:22,960 --> 00:19:25,600 Speaker 1: of those things that just it's you know, people act 362 00:19:25,680 --> 00:19:28,119 Speaker 1: like they're wearing some kind of fucking death shroud when 363 00:19:28,160 --> 00:19:29,920 Speaker 1: it's just like such a small thing can do for 364 00:19:30,000 --> 00:19:32,119 Speaker 1: your own safety and you know, just consider it for 365 00:19:32,200 --> 00:19:36,640 Speaker 1: other people. But in Missouri, specifically, their governor, Mike Parsons, 366 00:19:37,080 --> 00:19:39,240 Speaker 1: he's just been one of these governors has been like, man, 367 00:19:39,480 --> 00:19:43,280 Speaker 1: masks are just so bad. I believe that everyone should 368 00:19:43,359 --> 00:19:46,480 Speaker 1: make their own health decisions unless it has to do 369 00:19:46,560 --> 00:19:50,520 Speaker 1: with reproductive health, but that do what you feel is right, 370 00:19:50,960 --> 00:19:53,960 Speaker 1: and he's long argued that stuff would just be like, 371 00:19:54,240 --> 00:19:56,440 Speaker 1: you know, I'm just not convinced by the science, okay 372 00:19:56,480 --> 00:19:58,520 Speaker 1: about the mass stuff. Just it doesn't really add up 373 00:19:58,600 --> 00:20:01,680 Speaker 1: for me when I hear about this efficacy stuff, despite 374 00:20:01,880 --> 00:20:05,400 Speaker 1: the fucking numerous studies out there that you know, all 375 00:20:05,800 --> 00:20:08,680 Speaker 1: world governments are being like, yeah, this seems like a 376 00:20:08,840 --> 00:20:12,280 Speaker 1: first step to ensure people's safety, but you can't world governments. 377 00:20:12,280 --> 00:20:14,719 Speaker 1: You gotta do your own You gotta do your own research. 378 00:20:14,840 --> 00:20:18,679 Speaker 1: That's what people. You gotta do your own research. I've noticed. 379 00:20:19,000 --> 00:20:22,040 Speaker 1: I've noticed that places with really good barbecue or they 380 00:20:22,080 --> 00:20:26,359 Speaker 1: don't have great views on women's reproductive rights. You know 381 00:20:26,440 --> 00:20:30,679 Speaker 1: what I mean. If you called dinner supper, you were 382 00:20:30,720 --> 00:20:34,240 Speaker 1: against the woman's right to choose most likely. But I 383 00:20:34,320 --> 00:20:37,040 Speaker 1: will say no. I've been in Missouri three times this year. 384 00:20:37,080 --> 00:20:40,440 Speaker 1: I've done Kansas City, I've done Springfield, Missouri, I've done St. Louis. 385 00:20:40,720 --> 00:20:43,960 Speaker 1: The mass situations a little, you know, it makes me 386 00:20:44,080 --> 00:20:46,880 Speaker 1: nervous for sure, because look, I'm triple vas. I don't 387 00:20:46,920 --> 00:20:48,880 Speaker 1: know the hell, I haven't gotten COVID yet. Just being 388 00:20:48,920 --> 00:20:52,639 Speaker 1: on the road, I'm pretty cautious, but it is pretty crazy. 389 00:20:53,000 --> 00:20:56,800 Speaker 1: You see certain certain cities like Springfield, Missouri especially. I 390 00:20:56,960 --> 00:20:59,520 Speaker 1: was kind of like, you're old, you should be scared. 391 00:20:59,640 --> 00:21:03,399 Speaker 1: I'm be less scared than your right, and they're like, hey, man, 392 00:21:03,520 --> 00:21:06,040 Speaker 1: take a selfie with me. Let me get real cough on. 393 00:21:06,800 --> 00:21:09,880 Speaker 1: But yeah. Like so the governor ordered the state's health 394 00:21:09,920 --> 00:21:12,520 Speaker 1: department said, you know what, look up the data then 395 00:21:12,680 --> 00:21:15,680 Speaker 1: that data that y'all are talking about, and just, you know, 396 00:21:15,760 --> 00:21:18,679 Speaker 1: let's see how well the masks, you know, or how 397 00:21:18,800 --> 00:21:22,919 Speaker 1: negatively may have affected transmission. And I think he figured 398 00:21:23,200 --> 00:21:25,440 Speaker 1: that they would come back with the study that said 399 00:21:25,640 --> 00:21:28,440 Speaker 1: it didn't work at all, lives so each ship or 400 00:21:28,520 --> 00:21:32,080 Speaker 1: something like that. Well, the stick was from the Missouri 401 00:21:32,119 --> 00:21:35,080 Speaker 1: Independent quote. The statewide data shows that from the end 402 00:21:35,119 --> 00:21:37,320 Speaker 1: of April to the end of October, and this is 403 00:21:37,440 --> 00:21:40,200 Speaker 1: basically through the height of the delta spike or surge 404 00:21:40,280 --> 00:21:42,760 Speaker 1: that was going on in the state, that jurisdictions with 405 00:21:42,880 --> 00:21:46,119 Speaker 1: mask mandates experienced an average of fifteen point eight cases 406 00:21:46,160 --> 00:21:48,480 Speaker 1: per day for every hundred thousand residents, compared to twenty 407 00:21:48,520 --> 00:21:51,119 Speaker 1: one point seven cases per day for every hundred thousand 408 00:21:51,119 --> 00:21:54,800 Speaker 1: residents in unmasked counties. So they're like, ohh and like 409 00:21:54,880 --> 00:21:56,760 Speaker 1: they just showed like two there's like there's a very 410 00:21:56,840 --> 00:21:59,200 Speaker 1: clear graph. It's like here's the places that did it, 411 00:21:59,240 --> 00:22:01,359 Speaker 1: and here's the ones that did. The ones that didn't 412 00:22:01,480 --> 00:22:05,639 Speaker 1: just had more transmission as a result. And you know, 413 00:22:05,760 --> 00:22:08,880 Speaker 1: I think this is something that most people accepted as 414 00:22:09,000 --> 00:22:12,199 Speaker 1: just common sense in general, like that having something over 415 00:22:12,320 --> 00:22:14,680 Speaker 1: your mouth and knows while you're exhaling or inhaling will 416 00:22:14,760 --> 00:22:18,480 Speaker 1: probably just cut down on the number of particles and 417 00:22:18,560 --> 00:22:21,520 Speaker 1: things that you're exhaling. So I do just want to 418 00:22:21,560 --> 00:22:24,080 Speaker 1: say that. So the numbers are fifteen point eight per 419 00:22:24,200 --> 00:22:26,840 Speaker 1: day where there is a mass mandate, twenty one point 420 00:22:26,920 --> 00:22:31,200 Speaker 1: seven cases per day for every one thousand for residents 421 00:22:31,240 --> 00:22:35,719 Speaker 1: and unmasked communities. But like the masked communities are also 422 00:22:36,040 --> 00:22:39,520 Speaker 1: in a state that has a leader who is like, 423 00:22:39,960 --> 00:22:43,880 Speaker 1: don't wear masks, masks or bullshit, and like the general 424 00:22:44,400 --> 00:22:47,320 Speaker 1: consensus around them. So I'm sure like that's not even 425 00:22:47,440 --> 00:22:50,719 Speaker 1: like as low as you could go if people if 426 00:22:50,800 --> 00:22:53,560 Speaker 1: you were in a community where the leadership was like 427 00:22:54,440 --> 00:22:57,480 Speaker 1: listen to scientists. So I guess because like really it 428 00:22:57,560 --> 00:22:59,480 Speaker 1: was like Kansas City and St. Louis were sort of 429 00:22:59,520 --> 00:23:02,520 Speaker 1: the outlaw fires in the state that had mask mandates 430 00:23:02,720 --> 00:23:05,480 Speaker 1: and as a result, you know, the state attorney general 431 00:23:05,560 --> 00:23:08,120 Speaker 1: and missouris like, We're gonna fucking sue the City of St. 432 00:23:08,160 --> 00:23:11,080 Speaker 1: Louis for doing this, and they did. But the thing is, 433 00:23:11,400 --> 00:23:15,560 Speaker 1: when the governor got this this data set, the analysis, 434 00:23:15,760 --> 00:23:19,680 Speaker 1: like this data was not released to anybody, like they 435 00:23:19,880 --> 00:23:22,240 Speaker 1: hid that ship. It wasn't include this is from the 436 00:23:22,359 --> 00:23:25,239 Speaker 1: Missouri Independent again, uh, and the Missouri Independent only got 437 00:23:25,320 --> 00:23:27,040 Speaker 1: their hands on it because they did like a you know, 438 00:23:27,160 --> 00:23:29,199 Speaker 1: sort of like a Foyer request for it, and they 439 00:23:29,240 --> 00:23:31,840 Speaker 1: said the analysis wasn't including in material the department prepared 440 00:23:31,920 --> 00:23:35,040 Speaker 1: for cabinet meetings. The email show neither the Health Department 441 00:23:35,080 --> 00:23:38,520 Speaker 1: nor Parsons office responded to request for comment asking why 442 00:23:38,600 --> 00:23:42,400 Speaker 1: the data has not been shared publicly because that would 443 00:23:42,480 --> 00:23:45,239 Speaker 1: show that they were wrong. But again with this one 444 00:23:45,280 --> 00:23:48,480 Speaker 1: attorney like these this attorney general that was suing like 445 00:23:48,680 --> 00:23:51,600 Speaker 1: the City of St. Louis when they were asked about like, 446 00:23:52,040 --> 00:23:55,000 Speaker 1: hey man, this data shows that like masks worked, Like 447 00:23:55,280 --> 00:23:57,520 Speaker 1: what what do you have to say? A spokesperfect person 448 00:23:57,560 --> 00:24:00,240 Speaker 1: from the Attorney General's office said quote, we just this 449 00:24:00,440 --> 00:24:05,000 Speaker 1: premise and these charts. We've been clear that Missourians should 450 00:24:05,080 --> 00:24:07,119 Speaker 1: have the right to make their own decisions and that 451 00:24:07,240 --> 00:24:11,640 Speaker 1: government bureaucrats shouldn't be mandating master vaccines. We will continue 452 00:24:11,680 --> 00:24:14,800 Speaker 1: to fiercely litigate our lawsuits against mask mandates in Missouri. 453 00:24:15,000 --> 00:24:17,200 Speaker 1: I know you can also make your own decisions, but 454 00:24:17,320 --> 00:24:20,040 Speaker 1: like you should not be persuading people not to do it, 455 00:24:20,280 --> 00:24:23,280 Speaker 1: you know what I mean, Like I don't understand what 456 00:24:23,359 --> 00:24:25,280 Speaker 1: I understands. Like, sure, you're sick of the mass. I 457 00:24:25,359 --> 00:24:27,760 Speaker 1: get it, We're all sick of them. It's annoying, No, 458 00:24:27,960 --> 00:24:30,240 Speaker 1: you can't. Actually it's annoying, but you do it because 459 00:24:30,600 --> 00:24:32,560 Speaker 1: it's just the right thing to do for now, you 460 00:24:32,600 --> 00:24:36,000 Speaker 1: know what I mean. It's one of those things with like, uh, 461 00:24:37,960 --> 00:24:40,200 Speaker 1: it's it's bad for business, Like you go to these 462 00:24:40,280 --> 00:24:43,280 Speaker 1: places and they've turned into like your your rights rather 463 00:24:43,359 --> 00:24:45,520 Speaker 1: than like a safety concern, and you're like, well, you 464 00:24:45,720 --> 00:24:48,080 Speaker 1: fucking know why you have to wear it? Don't make 465 00:24:48,160 --> 00:24:54,360 Speaker 1: this Why you politicizing something this bad? It's it's completely irresponsible. Yeah, 466 00:24:54,480 --> 00:24:56,920 Speaker 1: it really. We were saying earlier last week that it 467 00:24:57,200 --> 00:25:00,840 Speaker 1: felt like it feels like the Republicans are coming out 468 00:25:00,920 --> 00:25:04,760 Speaker 1: more and more as a pro pandemic party, Like they're 469 00:25:04,800 --> 00:25:07,800 Speaker 1: like in favor of the pandemic, which is just an 470 00:25:07,880 --> 00:25:10,720 Speaker 1: odd decision. I feel like they painted themselves into that corner. 471 00:25:10,800 --> 00:25:14,880 Speaker 1: But like, I can't imagine that many Republican political strategists 472 00:25:14,920 --> 00:25:18,359 Speaker 1: are happy with like where where they find themselves. Well, 473 00:25:18,400 --> 00:25:21,000 Speaker 1: I'm some I'm someone who's voted Democrat and I think 474 00:25:21,080 --> 00:25:25,200 Speaker 1: every election in my lifetime. But you know, Democrats also, 475 00:25:25,640 --> 00:25:28,440 Speaker 1: Republicans have done a much better job at at relating 476 00:25:28,480 --> 00:25:31,560 Speaker 1: to the working class and shutdowns. I mean, as someone 477 00:25:31,600 --> 00:25:33,880 Speaker 1: who plays all these clubs and have seen how much 478 00:25:34,240 --> 00:25:36,800 Speaker 1: you know, bars and restaurants have struggled through the pandemic, 479 00:25:37,119 --> 00:25:40,480 Speaker 1: the Democrats really don't understand that they're messing with people's 480 00:25:40,560 --> 00:25:43,639 Speaker 1: livelihoods when airlines are bailed out and when hotels are 481 00:25:43,680 --> 00:25:46,320 Speaker 1: bailed out, but when it's so fucking hard for like 482 00:25:46,560 --> 00:25:48,200 Speaker 1: you know, mom and pop places to get a p 483 00:25:48,359 --> 00:25:51,200 Speaker 1: P P loan or whatever. I mean, I think that's 484 00:25:51,280 --> 00:25:54,119 Speaker 1: really whether the right and left need to come together. 485 00:25:54,400 --> 00:25:57,720 Speaker 1: You know, it might be tough on that one, given 486 00:25:57,800 --> 00:25:59,720 Speaker 1: the state of things, but yeah, it's true. Like I 487 00:25:59,800 --> 00:26:03,119 Speaker 1: think just in general, Democrats are not even trying to 488 00:26:03,200 --> 00:26:07,160 Speaker 1: connect like how all of this helps for people's just outcomes, 489 00:26:07,240 --> 00:26:09,159 Speaker 1: Like in terms of, hey, if if we slow the 490 00:26:09,200 --> 00:26:12,640 Speaker 1: pandemic down, then it won't negatively affect businesses and much 491 00:26:12,720 --> 00:26:15,520 Speaker 1: as much or your your livelihood. But if we keep 492 00:26:15,560 --> 00:26:18,159 Speaker 1: doing all this start stop ship, it doesn't help. And 493 00:26:18,240 --> 00:26:21,040 Speaker 1: on top of that, I think taking away people's unemployment 494 00:26:21,080 --> 00:26:24,399 Speaker 1: benefits too. It's like such a wildly unpopular thing to do, 495 00:26:24,600 --> 00:26:29,159 Speaker 1: but they did it. So yeah, it's, uh, well, no 496 00:26:29,200 --> 00:26:31,320 Speaker 1: one wants to do the server jobs anymore. No one 497 00:26:31,400 --> 00:26:33,399 Speaker 1: wants to No one wants to be a waiter anymore. 498 00:26:33,560 --> 00:26:35,480 Speaker 1: You know, you see what you can make on unemployment, 499 00:26:35,520 --> 00:26:37,760 Speaker 1: and you're like, well, I'd rather pursue whatever dream I 500 00:26:37,880 --> 00:26:41,320 Speaker 1: have part time then then do this server job. So 501 00:26:41,440 --> 00:26:43,600 Speaker 1: you know, everywhere you go now is understaffed and and 502 00:26:44,359 --> 00:26:47,840 Speaker 1: and they really just need to raise the price of 503 00:26:47,960 --> 00:26:51,280 Speaker 1: food and the restaurants and pay servers more. Yeah, because 504 00:26:51,320 --> 00:26:53,639 Speaker 1: I mean because like restaurants and bars already on like 505 00:26:53,760 --> 00:26:57,600 Speaker 1: razor thin margins and things like that. So on some level, yeah, 506 00:26:57,640 --> 00:27:00,280 Speaker 1: if that's what it takes, or you all right, shape 507 00:27:00,280 --> 00:27:02,240 Speaker 1: one places are like look, we're just folding in a 508 00:27:02,359 --> 00:27:04,879 Speaker 1: tip like to the cost of your bill, because that's 509 00:27:04,920 --> 00:27:09,080 Speaker 1: how we give our employees health insurance, so make it 510 00:27:09,160 --> 00:27:13,200 Speaker 1: easier for you to patronize our business. Yeah. Well, speaking 511 00:27:13,240 --> 00:27:16,760 Speaker 1: of patronize, let's talk about doctor Oz, because this is 512 00:27:17,040 --> 00:27:21,479 Speaker 1: America's doctor. He likes to explain our health to us 513 00:27:21,640 --> 00:27:25,280 Speaker 1: with the benefit of metaphors like the vagina is a 514 00:27:25,359 --> 00:27:30,000 Speaker 1: self cleaning oven, or visuals like a vagina that his 515 00:27:30,119 --> 00:27:33,200 Speaker 1: guests could walk through. Those are the ones that stick out. 516 00:27:33,280 --> 00:27:35,639 Speaker 1: He doesn't only talk about vaginas, but like, those are 517 00:27:35,880 --> 00:27:39,000 Speaker 1: kind of the the the episodes that stick out my 518 00:27:39,119 --> 00:27:42,000 Speaker 1: memory for recently. You know, I don't love hydroxy chloric 519 00:27:42,040 --> 00:27:44,880 Speaker 1: quinn though too. Yeah, he's a doctor who is saying 520 00:27:44,920 --> 00:27:48,040 Speaker 1: that I love. Yeah. He He made an announcement via 521 00:27:48,119 --> 00:27:51,440 Speaker 1: an op ed in the Washington Examiner because you know, 522 00:27:51,560 --> 00:27:54,920 Speaker 1: presumably TMZ wouldn't return his calls, but he claimed that 523 00:27:55,119 --> 00:27:59,800 Speaker 1: he's running for Republican nominee for the Senate race and 524 00:28:00,000 --> 00:28:04,720 Speaker 1: Pennsylvania specifically because of the pandemic, saying, when you mix 525 00:28:04,840 --> 00:28:08,600 Speaker 1: politics and medicine, you get politics instead of solutions. And 526 00:28:08,960 --> 00:28:12,760 Speaker 1: Washington took away our freedom without making us safer. So 527 00:28:13,359 --> 00:28:16,119 Speaker 1: like I could see if there was a a doctor 528 00:28:16,200 --> 00:28:21,200 Speaker 1: who was really good at communicating actual medical facts to people, 529 00:28:21,720 --> 00:28:25,240 Speaker 1: which is I think like part of why Oprah had 530 00:28:25,320 --> 00:28:27,240 Speaker 1: him on in the first place is like what he was. 531 00:28:27,720 --> 00:28:30,119 Speaker 1: The promise of doctor Oz was supposed to be that, 532 00:28:30,280 --> 00:28:34,440 Speaker 1: like he's a respected doctor who can also communicate with 533 00:28:34,520 --> 00:28:38,200 Speaker 1: the masses. But unfortunately, like hidden in there was just 534 00:28:38,440 --> 00:28:43,120 Speaker 1: this fame hungry whatever it takes to get more people 535 00:28:43,200 --> 00:28:46,840 Speaker 1: to pay attention to me character that it's worth taking 536 00:28:46,880 --> 00:28:49,680 Speaker 1: a look at, like what this dude actually how he 537 00:28:49,760 --> 00:28:52,680 Speaker 1: actually operates, because I was gonna say what he actually believes, 538 00:28:53,280 --> 00:28:56,480 Speaker 1: but he doesn't appear to believe anything other than that 539 00:28:56,720 --> 00:28:59,680 Speaker 1: people should be paying attention to him. Yeah, he's like 540 00:28:59,880 --> 00:29:01,920 Speaker 1: he's like a rock star surgeon. That guy. He's like 541 00:29:02,160 --> 00:29:04,479 Speaker 1: it's so weird, Like I know he's a real doctor, 542 00:29:05,040 --> 00:29:06,640 Speaker 1: but I do kind of look at him as a 543 00:29:06,720 --> 00:29:08,920 Speaker 1: doctor the way I look at Keanu Reeves and as 544 00:29:08,920 --> 00:29:11,520 Speaker 1: an assassin, Like I know, you put in work to 545 00:29:11,800 --> 00:29:14,560 Speaker 1: make this look good, but like I don't. It's like 546 00:29:14,920 --> 00:29:17,400 Speaker 1: it's like, what what business do you have in politics? 547 00:29:17,520 --> 00:29:19,640 Speaker 1: I just think, like you know, it's like you push 548 00:29:19,720 --> 00:29:22,040 Speaker 1: the Nettie pot on us. Thank you for that. For 549 00:29:22,120 --> 00:29:24,400 Speaker 1: the Nettie pot that's great and you're sick. But it's like, 550 00:29:24,600 --> 00:29:27,240 Speaker 1: you know, who gives a ship Like he does have 551 00:29:27,320 --> 00:29:29,360 Speaker 1: like a little bit of Tom Cruise in him if 552 00:29:29,400 --> 00:29:32,479 Speaker 1: you watch where like yeah, you're a doctor, the way 553 00:29:32,560 --> 00:29:35,280 Speaker 1: he did his own stunts and mission impossible, Like he's 554 00:29:35,320 --> 00:29:39,120 Speaker 1: got that vibe. I kind of like, what do you Yeah, 555 00:29:39,320 --> 00:29:41,840 Speaker 1: I don't trust alternative medicine people, like I know he's 556 00:29:41,840 --> 00:29:44,479 Speaker 1: a real doctor, but he does do that like they 557 00:29:44,520 --> 00:29:47,800 Speaker 1: always have stories of like you know, like sure you've 558 00:29:47,840 --> 00:29:50,200 Speaker 1: got COVID, but it could also be treated with uh 559 00:29:50,400 --> 00:29:54,400 Speaker 1: you know echinasia and Turkey tale. So I don't I 560 00:29:54,440 --> 00:29:57,080 Speaker 1: don't trust it. Yeah, he's literally said things like you 561 00:29:57,120 --> 00:30:00,920 Speaker 1: should try lavender soap if you have restless like synd him. Yeah, 562 00:30:01,600 --> 00:30:04,760 Speaker 1: so what is very nice, but you know it wasn't. 563 00:30:05,400 --> 00:30:08,760 Speaker 1: So he is actually a legit doctor, an accomplished surgeon, 564 00:30:08,800 --> 00:30:12,200 Speaker 1: I should say so, Like surgeons are the mechanics of 565 00:30:12,800 --> 00:30:15,680 Speaker 1: like doctors. They are the ones who are like from 566 00:30:16,160 --> 00:30:20,320 Speaker 1: Jump Street in medical school, like decide not to ever 567 00:30:20,480 --> 00:30:23,680 Speaker 1: really interact with patients. But he's a celebrity surgeon, like 568 00:30:23,720 --> 00:30:25,520 Speaker 1: he would show up like once a week, like he 569 00:30:25,680 --> 00:30:28,320 Speaker 1: wasn't doing like a lot of reps he was doing. 570 00:30:28,600 --> 00:30:30,560 Speaker 1: He was like, like when you see a celebrity at 571 00:30:30,600 --> 00:30:33,080 Speaker 1: the comedy Seller, You're like, that's Dr Je. You're like, 572 00:30:33,280 --> 00:30:35,840 Speaker 1: why weren't they that funny? I'm like Christo shooting movies. 573 00:30:36,400 --> 00:30:41,800 Speaker 1: That wasn't not good right, right, So he like back 574 00:30:41,840 --> 00:30:44,200 Speaker 1: in the day before he was a TV surgeon, he 575 00:30:44,280 --> 00:30:47,240 Speaker 1: won awards for his research, holds the leven patents for 576 00:30:47,320 --> 00:30:51,040 Speaker 1: inventing methods and devices involved in heart surgeries and transplants. 577 00:30:51,520 --> 00:30:55,520 Speaker 1: And he was also interested in alternative medicine even before 578 00:30:55,800 --> 00:30:58,560 Speaker 1: it was a TV thing. And there there are plenty 579 00:30:58,640 --> 00:31:02,080 Speaker 1: of like really good doctors who are interested in alternative medicine, 580 00:31:02,600 --> 00:31:05,880 Speaker 1: and one of them that he co founded this center 581 00:31:06,000 --> 00:31:09,280 Speaker 1: with says they were just constantly fighting with Oz over 582 00:31:09,440 --> 00:31:13,560 Speaker 1: his inappropriate marketing of their unproven methods. He said, it's 583 00:31:13,600 --> 00:31:17,040 Speaker 1: one thing to experiment with alternative techniques that could potentially 584 00:31:17,120 --> 00:31:19,240 Speaker 1: be helpful. It's another thing to claim that they work 585 00:31:19,320 --> 00:31:22,240 Speaker 1: with no justification in order to help your career. And 586 00:31:22,360 --> 00:31:24,960 Speaker 1: one of the center's employees claimed that it wasn't actually 587 00:31:24,960 --> 00:31:27,440 Speaker 1: about helping people, but it was all about boosting OZ 588 00:31:27,640 --> 00:31:30,240 Speaker 1: of celebrity. She remembers that OZ would say things like 589 00:31:30,600 --> 00:31:32,640 Speaker 1: give me a patient because the cameras are coming in 590 00:31:33,040 --> 00:31:36,880 Speaker 1: and tell me what I need to know. Like if 591 00:31:36,960 --> 00:31:40,840 Speaker 1: you look this gentleman here is suffering from terrible joint pain, 592 00:31:40,920 --> 00:31:45,560 Speaker 1: it's like, no, I can't see the cameras. Yeah it's 593 00:31:45,560 --> 00:31:48,680 Speaker 1: you suck. But yeah, it's h that whole thing, especially 594 00:31:48,760 --> 00:31:51,360 Speaker 1: hearing that the people that work for him are like, yeah, 595 00:31:51,440 --> 00:31:54,840 Speaker 1: he's more just into pushing stuff even if it doesn't 596 00:31:54,920 --> 00:31:59,480 Speaker 1: fucking work, just because that gets people to be like, oh, ship, 597 00:31:59,560 --> 00:32:01,480 Speaker 1: he's saying something I want to hear. And then do 598 00:32:01,560 --> 00:32:04,080 Speaker 1: you realize, like that's sort of like his you know, 599 00:32:04,240 --> 00:32:07,320 Speaker 1: his guiding principle through his entire careers. Like yeah, man, 600 00:32:07,360 --> 00:32:09,160 Speaker 1: if I have to say something like wild ship that 601 00:32:09,200 --> 00:32:11,560 Speaker 1: will just get people kind of excited, then I'll fuck it. 602 00:32:11,600 --> 00:32:14,440 Speaker 1: I'll say whatever funk I got to. You know, he's 603 00:32:14,720 --> 00:32:17,000 Speaker 1: he's an entertainer. I mean, and you could tell his 604 00:32:17,160 --> 00:32:19,520 Speaker 1: nether stander because Trump sucking loves him. But I mean 605 00:32:19,880 --> 00:32:22,920 Speaker 1: it is weird the camera thing. Like and those people 606 00:32:22,960 --> 00:32:25,800 Speaker 1: who those altern of medicine people never they always have 607 00:32:25,880 --> 00:32:28,440 Speaker 1: a story. They always have a story. It's always like 608 00:32:28,680 --> 00:32:30,760 Speaker 1: you know, the politics, Like I met an eighteen year 609 00:32:30,800 --> 00:32:35,760 Speaker 1: old and he was a star athlete, and he was vaccinated. 610 00:32:36,120 --> 00:32:39,000 Speaker 1: And as to getting vaccinated, he pooped himself to death. 611 00:32:39,080 --> 00:32:41,120 Speaker 1: And you're like, all right, but this doesn't sound real. 612 00:32:41,280 --> 00:32:43,160 Speaker 1: This sounds like you're just trying to google. Tell me 613 00:32:43,280 --> 00:32:46,560 Speaker 1: on something. Yea, google it you can, or search it 614 00:32:46,680 --> 00:32:51,920 Speaker 1: on Facebook. Guarantee you'll find some research it up. He 615 00:32:52,240 --> 00:32:56,760 Speaker 1: trademarked the term America's Doctor and just became known for 616 00:32:56,840 --> 00:33:01,000 Speaker 1: making spurious medical claims on his show and platform and 617 00:33:01,040 --> 00:33:05,480 Speaker 1: guests with anti scientific viewpoints. He shared the stage with 618 00:33:05,680 --> 00:33:10,360 Speaker 1: vaccine deniers, activists like the food Babe, who I was 619 00:33:10,480 --> 00:33:14,560 Speaker 1: not familiar with prior to jam putting putting us research 620 00:33:14,600 --> 00:33:17,120 Speaker 1: in front of us. But she's apparently the Jenny McCarthy 621 00:33:17,200 --> 00:33:20,840 Speaker 1: of food and weird title where you're like, oh, what 622 00:33:20,920 --> 00:33:25,560 Speaker 1: do you do? I'm the Jenny McCarthy of food? Right, Okay, cool? 623 00:33:25,680 --> 00:33:28,760 Speaker 1: What does that mean? I say a lot of wrong stuff? 624 00:33:28,800 --> 00:33:33,000 Speaker 1: Remember when Jenny McCarthy was doing comedy, right, Remember when 625 00:33:33,120 --> 00:33:36,840 Speaker 1: remember were like Jenny McCarthy, I mean, thank god I 626 00:33:36,960 --> 00:33:39,680 Speaker 1: wasn't a comedian in the nineties. Imagine trying to sell 627 00:33:39,720 --> 00:33:42,880 Speaker 1: a sketch show and they're like we're going with Jenny McCarthy, right, 628 00:33:43,320 --> 00:33:45,560 Speaker 1: like you know the check whose naked all the time? 629 00:33:45,720 --> 00:33:49,880 Speaker 1: That she got the sketch show over here from Singled Out, Yeah, 630 00:33:49,960 --> 00:33:51,640 Speaker 1: from Single Out? Have you seen her? She does all 631 00:33:51,680 --> 00:33:54,640 Speaker 1: these crazy faces and stuff. She's she's really expressive, man, 632 00:33:55,120 --> 00:33:56,520 Speaker 1: that's what she would do. She was kind of like 633 00:33:56,600 --> 00:33:59,160 Speaker 1: doing like a poor man's Jerry Lewis type thing. Where 634 00:33:59,640 --> 00:34:02,560 Speaker 1: right and she's funny. I'm like, no, she's she's You're right, 635 00:34:02,600 --> 00:34:05,040 Speaker 1: She's just making faces. That was very expressive. She's like 636 00:34:05,760 --> 00:34:07,960 Speaker 1: and then like liqu a guy's face and then you're like, 637 00:34:08,040 --> 00:34:11,400 Speaker 1: oh my god, Jennie McCarthy, she's got it. It's for 638 00:34:11,520 --> 00:34:14,320 Speaker 1: a wild that her. She ended up with Jim Carey 639 00:34:14,400 --> 00:34:18,680 Speaker 1: for a period because they're both very like at the 640 00:34:18,760 --> 00:34:22,840 Speaker 1: top of the facial expression based comedy. That must be 641 00:34:22,920 --> 00:34:25,320 Speaker 1: a pretty hard fake laughing at those jokes. So, you know, 642 00:34:25,480 --> 00:34:27,400 Speaker 1: Jim got tired. He was like, look, I'm used to 643 00:34:27,400 --> 00:34:30,399 Speaker 1: contwarding my face, but this is brutal. Come on, He's 644 00:34:30,440 --> 00:34:32,920 Speaker 1: like to to to actually have to pretend to smile 645 00:34:33,000 --> 00:34:36,480 Speaker 1: and enjoy as a seal action I haven't developed in Yeah. 646 00:34:37,000 --> 00:34:39,720 Speaker 1: So in two thousand fourteen, people are thinking that maybe 647 00:34:39,920 --> 00:34:42,080 Speaker 1: his current sent a bid like this might be his 648 00:34:42,280 --> 00:34:47,239 Speaker 1: Obama roasting Trump moment, like the thing where he was like, 649 00:34:47,360 --> 00:34:50,200 Speaker 1: all right now, now I'm serious and I'm gonna make 650 00:34:50,280 --> 00:34:52,960 Speaker 1: all these people pay. He was grilled by the Senate 651 00:34:53,000 --> 00:34:57,200 Speaker 1: Subcommittee on Consumer Protection, Product Safety, and Insurance during a 652 00:34:57,280 --> 00:35:01,240 Speaker 1: hearing on false advertising in the diet and weight loss industry. 653 00:35:01,760 --> 00:35:05,560 Speaker 1: He defended himself using computer print outs of online studies 654 00:35:05,640 --> 00:35:11,319 Speaker 1: and transcripts for from his own TV show And Yeah, 655 00:35:11,960 --> 00:35:15,000 Speaker 1: following that, ten prominent physicians penda letter to the Dean 656 00:35:15,080 --> 00:35:19,520 Speaker 1: of Columbia suggesting that Osby removed from the faculty for 657 00:35:19,640 --> 00:35:23,600 Speaker 1: having repeatedly shown disdain for science, but as far as 658 00:35:23,640 --> 00:35:26,120 Speaker 1: I can tell, they didn't. Like he's still like a 659 00:35:26,200 --> 00:35:30,520 Speaker 1: big name at Columbia, which again, like I feel like 660 00:35:30,680 --> 00:35:35,480 Speaker 1: there is this understanding that all academic institutions are like 661 00:35:35,680 --> 00:35:40,200 Speaker 1: wildly leftists, and I think, you know, at least all 662 00:35:40,600 --> 00:35:43,760 Speaker 1: like you know, Stanford and so some of the highly 663 00:35:43,840 --> 00:35:46,960 Speaker 1: respected ones, fucking Harvard used to have Larry Summers as 664 00:35:47,040 --> 00:35:50,520 Speaker 1: their president. Like there're a lot further to the right 665 00:35:50,640 --> 00:35:54,320 Speaker 1: than people think, and it's it's all about money, right, Yeah, exactly, 666 00:35:54,400 --> 00:35:56,279 Speaker 1: I mean I'm sure he makes donations. I'm sure he 667 00:35:56,400 --> 00:35:59,200 Speaker 1: gets donations. Like having a celebrity there, I mean, it's 668 00:35:59,200 --> 00:36:01,960 Speaker 1: all about the dough. Yeah, he appear, appears for a 669 00:36:02,080 --> 00:36:04,320 Speaker 1: fundraiser and then suddenly like yeah, it's it's good to 670 00:36:04,360 --> 00:36:06,279 Speaker 1: have him around. I mean, and this is the same 671 00:36:06,320 --> 00:36:08,400 Speaker 1: issue that's sort of like happening at UCSB with that 672 00:36:08,520 --> 00:36:12,239 Speaker 1: gigantic dorm hall that the that like Warren Buffett's like 673 00:36:12,360 --> 00:36:15,920 Speaker 1: ninety year old right hand man like designed, and like 674 00:36:16,600 --> 00:36:19,200 Speaker 1: it's gotten even worse this week because he's like out 675 00:36:19,280 --> 00:36:22,160 Speaker 1: here saying stuff like these architects don't know what they're 676 00:36:22,160 --> 00:36:25,480 Speaker 1: talking about. They're like, sir, I'm an actual architect. You're 677 00:36:25,480 --> 00:36:29,160 Speaker 1: a billionaire who dabbles with pictures and you're you're you're 678 00:36:29,200 --> 00:36:32,160 Speaker 1: proposing a building where nine percent of the residents won't 679 00:36:32,200 --> 00:36:35,440 Speaker 1: have windows, and you think that's gonna be a good environment. 680 00:36:35,760 --> 00:36:39,040 Speaker 1: And it's the same thing where UCSB has been like yeah, 681 00:36:39,120 --> 00:36:41,799 Speaker 1: but the thing is like gifts typically come with these 682 00:36:41,920 --> 00:36:45,080 Speaker 1: kinds of like restrictions on it, so, uh, we might 683 00:36:45,120 --> 00:36:48,120 Speaker 1: have to put kids in a cramped you know whatever 684 00:36:48,120 --> 00:36:51,920 Speaker 1: you want to call it, prison block. Yeah. So OZ 685 00:36:52,000 --> 00:36:57,000 Speaker 1: responded to that letter written by the ten prominent physicians 686 00:36:57,080 --> 00:37:01,439 Speaker 1: from Colombia by dedicating an entire episode of his show 687 00:37:01,600 --> 00:37:08,719 Speaker 1: to picking apart their qualifications and professional interests. Trump, Yeah, 688 00:37:08,920 --> 00:37:13,400 Speaker 1: it's straight trumph. And he also, I had forgotten this 689 00:37:13,600 --> 00:37:17,560 Speaker 1: because like like so much of just by like sheer 690 00:37:18,080 --> 00:37:21,040 Speaker 1: physics of the size of a human brain. I've had 691 00:37:21,080 --> 00:37:23,600 Speaker 1: to like memory whole so much of the ship that 692 00:37:23,680 --> 00:37:27,080 Speaker 1: went on during the Trump administration. But like Trump went 693 00:37:27,200 --> 00:37:32,400 Speaker 1: on the Doctor Oz show in and most presidential candidates 694 00:37:32,440 --> 00:37:35,320 Speaker 1: released their medical records, he had not up to that point. 695 00:37:35,760 --> 00:37:37,759 Speaker 1: And then he appeared on the show and handed oz 696 00:37:37,960 --> 00:37:41,520 Speaker 1: two crumpled papers from his pocket as evidence of and 697 00:37:42,120 --> 00:37:45,040 Speaker 1: oz Oz was like, oh, yeah, look look at these. 698 00:37:45,120 --> 00:37:48,279 Speaker 1: These look really comprehensive. Like it was just straight up 699 00:37:48,520 --> 00:37:52,440 Speaker 1: like bullshit theater. Yeah, wow you are Wow. Are you 700 00:37:52,600 --> 00:37:56,879 Speaker 1: sure you're not a horse because you are? Mr Trump? Yeah, 701 00:37:56,920 --> 00:37:58,960 Speaker 1: just going by the iver me then that's why I 702 00:37:59,000 --> 00:38:04,760 Speaker 1: think you're a horse. But hydrochlor whatever. But he uh yeah, Trump, 703 00:38:04,920 --> 00:38:06,640 Speaker 1: I mean it was crazy, the amount of I mean, 704 00:38:06,680 --> 00:38:10,320 Speaker 1: we forget s n L. The fallon hair rob I 705 00:38:10,360 --> 00:38:12,239 Speaker 1: mean some of those are gonna go those are gonna 706 00:38:12,280 --> 00:38:15,560 Speaker 1: be in history books. Yeah, yeah, exactly, the road to 707 00:38:15,680 --> 00:38:19,680 Speaker 1: normalization for sure. But yeah, it's interesting again, like we 708 00:38:19,760 --> 00:38:22,400 Speaker 1: were talking about this last week of like how him 709 00:38:22,440 --> 00:38:25,080 Speaker 1: and Trump are just so similar because they've benefited from 710 00:38:25,160 --> 00:38:28,839 Speaker 1: this this I guess perception that merely being on television 711 00:38:28,960 --> 00:38:31,880 Speaker 1: and saying you're like you're a doctor or a rich person, 712 00:38:32,400 --> 00:38:35,280 Speaker 1: that most of the viewing public is like, that's true, 713 00:38:35,680 --> 00:38:38,680 Speaker 1: that's infallible, and this person is an expert and we 714 00:38:38,719 --> 00:38:40,920 Speaker 1: should all listen to them because they're on TV and 715 00:38:41,000 --> 00:38:43,920 Speaker 1: they're handsome. He's gonna have to beat Bobby Flay for 716 00:38:44,040 --> 00:38:48,600 Speaker 1: the position. No, it's really amazing, But you're right being 717 00:38:49,239 --> 00:38:54,000 Speaker 1: having name recognition and being having a big following. I mean, like, 718 00:38:54,239 --> 00:38:56,800 Speaker 1: think about so many of these presidents in the primary, 719 00:38:56,920 --> 00:38:59,680 Speaker 1: it's really just like building their social media page. We're 720 00:38:59,719 --> 00:39:01,560 Speaker 1: just like, wait, Pete boutag Edge and then you're like, 721 00:39:01,560 --> 00:39:03,840 Speaker 1: oh yeah, Pete Bota Jedge. You know, it takes a 722 00:39:03,960 --> 00:39:06,800 Speaker 1: minute for them to be recognizable and have the you know, 723 00:39:06,880 --> 00:39:09,279 Speaker 1: the name recognition. You know, sometimes it hurts you. And 724 00:39:09,520 --> 00:39:11,360 Speaker 1: in New York, I guess it heard Andrew Yang a 725 00:39:11,400 --> 00:39:13,040 Speaker 1: little bit because we're like, yeah, we know, we don't 726 00:39:13,200 --> 00:39:16,560 Speaker 1: yeah on board. But if you're a celebrity. You're that 727 00:39:16,640 --> 00:39:18,840 Speaker 1: means you're good on camera, and what are the what 728 00:39:18,960 --> 00:39:23,160 Speaker 1: are these debates? You know? I mean you riffing. Trump 729 00:39:23,239 --> 00:39:26,120 Speaker 1: really did change something where they got really sick of 730 00:39:26,200 --> 00:39:31,239 Speaker 1: seeing pre planned speeches and Trump, you know, he is 731 00:39:31,320 --> 00:39:34,319 Speaker 1: good off the cuff. He had that on people. Yeah, 732 00:39:34,440 --> 00:39:36,560 Speaker 1: he was just he just was like even though what 733 00:39:36,719 --> 00:39:38,879 Speaker 1: he said, like when you actually looked at the words 734 00:39:38,960 --> 00:39:41,719 Speaker 1: on Kaper, you like, he actually didn't fucking say anything. 735 00:39:42,080 --> 00:39:46,480 Speaker 1: But and that is the thing what people don't understand. 736 00:39:46,520 --> 00:39:49,000 Speaker 1: People like, oh, ship, this guy's spitting straight facts. I'm like, 737 00:39:49,200 --> 00:39:52,080 Speaker 1: he just talked in a circle for three minutes. But 738 00:39:52,600 --> 00:39:55,399 Speaker 1: you know, I still remember when Trump basically just called 739 00:39:55,480 --> 00:39:58,440 Speaker 1: Carly Fury, you know, ugly on a on a on 740 00:39:58,960 --> 00:40:01,440 Speaker 1: a debate and had that one sound bite that I 741 00:40:01,600 --> 00:40:04,160 Speaker 1: where she was like, I think the American people hear 742 00:40:04,280 --> 00:40:06,759 Speaker 1: him loud and clear, and everyone applauded. I was like, wow, 743 00:40:06,880 --> 00:40:08,920 Speaker 1: I guess you got him. Cut to a day later 744 00:40:09,120 --> 00:40:10,879 Speaker 1: like Trump is doing better than ever. I was like, well, 745 00:40:11,080 --> 00:40:14,520 Speaker 1: Americans really hate women. This is crazy. Yeah, I think 746 00:40:14,560 --> 00:40:18,080 Speaker 1: we all all learn that. In just to kind of 747 00:40:18,160 --> 00:40:21,280 Speaker 1: complete the rundown of like where he's at these days, 748 00:40:21,600 --> 00:40:27,360 Speaker 1: post his being challenged on his bullshit medical advice in Congress. 749 00:40:27,800 --> 00:40:32,200 Speaker 1: He has, during the pandemic, advocated reopening schools in April, 750 00:40:33,400 --> 00:40:37,800 Speaker 1: which you may remember as being entirely too early to 751 00:40:37,960 --> 00:40:40,719 Speaker 1: do that, but he said that it would only kill 752 00:40:40,800 --> 00:40:44,000 Speaker 1: an extra two to three percent of kids, which is 753 00:40:45,200 --> 00:40:48,360 Speaker 1: and that's just from the mass shootings, right, yeah, exactly. 754 00:40:48,840 --> 00:40:51,719 Speaker 1: He's been in a vocal advocate for hydroxychloric quin I'm 755 00:40:51,760 --> 00:40:56,640 Speaker 1: Fox News. He has supported the COVID vaccine, but mostly 756 00:40:56,760 --> 00:41:01,360 Speaker 1: it's to give Trump credit for inventing and r NA vaccines, 757 00:41:01,520 --> 00:41:04,600 Speaker 1: which actually date back to the sixties. In a statement, 758 00:41:04,680 --> 00:41:07,919 Speaker 1: he said, although we had some moments of brilliance, such 759 00:41:07,960 --> 00:41:10,880 Speaker 1: as the gifts to the world of mr NA vaccines 760 00:41:10,960 --> 00:41:15,279 Speaker 1: made possible by President Donald Trump's Operation Warp Speed, and 761 00:41:15,400 --> 00:41:19,399 Speaker 1: then he's had on his show antivactor guests like Joe 762 00:41:19,520 --> 00:41:24,080 Speaker 1: Mercola and Robert Kennedy Jr. So he's a big part 763 00:41:24,160 --> 00:41:26,520 Speaker 1: of the cause of the mess we're in. He's not 764 00:41:26,600 --> 00:41:29,640 Speaker 1: a solution to it, but you know, he's going to 765 00:41:30,520 --> 00:41:33,920 Speaker 1: probably be pretty successful at pitching himself as a solution 766 00:41:34,040 --> 00:41:37,840 Speaker 1: because TV we'll see God, I mean, it's people have 767 00:41:37,920 --> 00:41:39,600 Speaker 1: already come on and be like, we're gonna put the 768 00:41:39,680 --> 00:41:41,719 Speaker 1: smash on him. I forget who he's running against, but 769 00:41:41,760 --> 00:41:44,759 Speaker 1: there's people are pretty motivated against him. But hey, that's 770 00:41:44,800 --> 00:41:46,960 Speaker 1: the thing about TV. That's what we'll see the strength 771 00:41:47,040 --> 00:41:50,160 Speaker 1: of his celebrity in that race. Yeah, we we all 772 00:41:50,200 --> 00:41:52,440 Speaker 1: made the mistake of saying that Trump will be out 773 00:41:52,520 --> 00:41:55,840 Speaker 1: next week. I mean after Trump. Really, I wouldn't be surprised. 774 00:41:56,719 --> 00:42:00,160 Speaker 1: One it is weird. Who is you know? Was his 775 00:42:00,520 --> 00:42:03,640 Speaker 1: anti factors? Like, you're like Eric Clapton, what the hell 776 00:42:04,040 --> 00:42:05,640 Speaker 1: I missed the good old days when the worst thing 777 00:42:05,680 --> 00:42:08,960 Speaker 1: he did was was just steal his best friend's wife, right, 778 00:42:09,280 --> 00:42:12,720 Speaker 1: But but it's crazy that you're like, that's just his Twitter. 779 00:42:12,840 --> 00:42:15,120 Speaker 1: It's just like a rock legend being like this is 780 00:42:15,640 --> 00:42:18,680 Speaker 1: this is like the Holocaust right now? Oh my god? 781 00:42:18,760 --> 00:42:21,840 Speaker 1: What the hell? Yeah, I mean I still love Layelah, 782 00:42:21,880 --> 00:42:25,719 Speaker 1: but this is this is brutal. Damn Old loves He's 783 00:42:25,719 --> 00:42:28,239 Speaker 1: not gonna sound the same. Have you guys watched the 784 00:42:28,360 --> 00:42:32,600 Speaker 1: Beatles documentary at all? I watched. I watched about the 785 00:42:32,680 --> 00:42:36,359 Speaker 1: first hour or so. Yeah, it's tough. It's like it's 786 00:42:36,400 --> 00:42:39,000 Speaker 1: kind of because it's like it's amazing, but it's also 787 00:42:39,040 --> 00:42:43,879 Speaker 1: you're like it's like a podcast. Yeah, it's a little yeah, 788 00:42:44,200 --> 00:42:46,600 Speaker 1: it's a little tough. I love Peter Jackson. I love 789 00:42:46,640 --> 00:42:48,680 Speaker 1: what he did with that with that war movie he 790 00:42:48,760 --> 00:42:51,799 Speaker 1: made that was incredible. But the Lord of the Rings 791 00:42:54,680 --> 00:42:59,799 Speaker 1: what was the name? The incredible incredibly Yeah. I mean 792 00:43:00,040 --> 00:43:03,960 Speaker 1: he's so talented, but it's just interesting the to he 793 00:43:04,160 --> 00:43:09,080 Speaker 1: like George Harrison is like so just openly like insecure, 794 00:43:09,400 --> 00:43:12,400 Speaker 1: it's really amazing. He's like Clapton is really good, like 795 00:43:14,160 --> 00:43:17,480 Speaker 1: and then like Clapton stole his wife later, like that's 796 00:43:17,600 --> 00:43:20,360 Speaker 1: I love George so much to it so like he 797 00:43:20,560 --> 00:43:23,400 Speaker 1: realized how good George will. I mean, it's like crazy 798 00:43:23,440 --> 00:43:25,920 Speaker 1: that he was like their third option. It's it's like 799 00:43:26,320 --> 00:43:29,080 Speaker 1: it is like it is like Clay Thompson on The Warriors, 800 00:43:29,160 --> 00:43:32,399 Speaker 1: where you're like, this is not fair. Yeah yeah, wait 801 00:43:32,480 --> 00:43:37,479 Speaker 1: he's about to come off the bench. What's this he missed? 802 00:43:37,520 --> 00:43:41,600 Speaker 1: He made eighteen straight threes in practice. Yeah, a lot 803 00:43:41,640 --> 00:43:44,279 Speaker 1: of people are like this, this is like giving. Paul 804 00:43:44,320 --> 00:43:47,320 Speaker 1: McCartney is like do and like he's definitely like you 805 00:43:47,520 --> 00:43:50,440 Speaker 1: you see, he's like a songwriting genius. But it also 806 00:43:50,680 --> 00:43:54,600 Speaker 1: has made me not like because of like how he 807 00:43:54,760 --> 00:43:57,760 Speaker 1: treats like George and Ringo. He's just like so fucking 808 00:43:57,840 --> 00:44:01,480 Speaker 1: dismissive of them. He's just yeah, I mean, we could 809 00:44:01,560 --> 00:44:08,520 Speaker 1: probably like get a different drummer in here, right, poor Ringo. Man. Yeah, 810 00:44:08,840 --> 00:44:10,640 Speaker 1: all right, let's take a quick break. We'll come back 811 00:44:10,719 --> 00:44:24,919 Speaker 1: and talk about some bullshit. And we're back. And it's 812 00:44:25,000 --> 00:44:28,560 Speaker 1: that time of year once again. The Global Drug Survey 813 00:44:28,719 --> 00:44:32,560 Speaker 1: that pulls people around the world about their substance consumption, 814 00:44:32,800 --> 00:44:36,319 Speaker 1: otherwise known as the annual Get Fucked Up Awards. Where 815 00:44:36,400 --> 00:44:39,320 Speaker 1: where's everybody coming in? Well, you know, this is like 816 00:44:39,400 --> 00:44:42,719 Speaker 1: a survey of just all over you know, many countries. 817 00:44:43,160 --> 00:44:46,719 Speaker 1: I think in total, something like thirty some thousand people 818 00:44:46,800 --> 00:44:50,200 Speaker 1: participated in this survey. And even they say, they're like, look, 819 00:44:50,280 --> 00:44:52,280 Speaker 1: this isn't to say that this is exactly what's happening 820 00:44:52,320 --> 00:44:54,759 Speaker 1: in every single country, But more so, we're trying to 821 00:44:54,800 --> 00:44:58,200 Speaker 1: get a sort of general idea of how consumption habits 822 00:44:58,280 --> 00:45:01,840 Speaker 1: may have increased or decrease since the pandemic. I just 823 00:45:01,920 --> 00:45:03,840 Speaker 1: want to start off with like when they talk to 824 00:45:03,960 --> 00:45:05,920 Speaker 1: some of the people, or like when they talk to 825 00:45:06,000 --> 00:45:09,319 Speaker 1: the people they're pulling, when they translate their like responses 826 00:45:09,360 --> 00:45:11,560 Speaker 1: into English and things like that that. Look, what the 827 00:45:11,640 --> 00:45:13,040 Speaker 1: thing they had to do is sort of write about 828 00:45:13,080 --> 00:45:15,440 Speaker 1: just what they were feeling or what the situation had 829 00:45:15,480 --> 00:45:18,480 Speaker 1: felt like with words and this world cloud, this word 830 00:45:18,560 --> 00:45:21,600 Speaker 1: cloud that they developed from all these answers, the biggest 831 00:45:21,680 --> 00:45:28,080 Speaker 1: ones are shit, fucked stressful. So those are the top 832 00:45:28,200 --> 00:45:30,680 Speaker 1: three things that people were feeling as they you know, 833 00:45:30,760 --> 00:45:34,319 Speaker 1: took this poll, which makes sense because it's a grim time. 834 00:45:34,719 --> 00:45:37,719 Speaker 1: But to get to the real ship, you know, the 835 00:45:37,800 --> 00:45:39,360 Speaker 1: thing that came out of this is like, who is 836 00:45:39,480 --> 00:45:43,920 Speaker 1: drinking the fucking most right now? And drumroll please, it 837 00:45:44,040 --> 00:45:48,359 Speaker 1: apparently is no one is fucking with the Australians. As 838 00:45:48,400 --> 00:45:51,080 Speaker 1: it turns out now when they do this survey, they 839 00:45:51,160 --> 00:45:55,080 Speaker 1: found that on average, respondents from around the world got drunk. 840 00:45:55,160 --> 00:45:57,680 Speaker 1: And so what they're saying is they categorize what they're 841 00:45:57,680 --> 00:46:00,440 Speaker 1: asking is quote unquote drunk is quote having drunk so 842 00:46:00,560 --> 00:46:03,200 Speaker 1: much that your physical and mental faculties are impaired to 843 00:46:03,280 --> 00:46:06,400 Speaker 1: the point where your balanced slash speech was affected, You 844 00:46:06,480 --> 00:46:09,359 Speaker 1: were unable to focus clearly on things, and that your 845 00:46:09,400 --> 00:46:13,640 Speaker 1: conversation and behaviors were very obviously different to people who 846 00:46:13,760 --> 00:46:17,399 Speaker 1: know you. So the global averages around fourteen point six 847 00:46:17,560 --> 00:46:20,520 Speaker 1: times a year, so a little about around once a month, 848 00:46:20,760 --> 00:46:24,800 Speaker 1: Aussies twenty seven point seven times a year based on 849 00:46:24,960 --> 00:46:28,560 Speaker 1: this survey. Coming in behind him the Danes and the Fins, 850 00:46:29,280 --> 00:46:32,000 Speaker 1: So Scandinavia also has a shout there. But yeah, it 851 00:46:32,080 --> 00:46:35,680 Speaker 1: looks like Australia. They're coming in hot. They're coming in hot. 852 00:46:36,120 --> 00:46:40,160 Speaker 1: So there there's another I was surprised at having spent 853 00:46:40,360 --> 00:46:45,560 Speaker 1: a semester in Ireland. I was surprised that my people 854 00:46:45,800 --> 00:46:48,400 Speaker 1: did not make a bigger dent here. But I I 855 00:46:48,560 --> 00:46:51,239 Speaker 1: have a theory so that there's this other part of 856 00:46:51,280 --> 00:46:56,400 Speaker 1: the survey about regrets, right m hm, that Irish, Polish 857 00:46:56,480 --> 00:46:59,600 Speaker 1: and New Zealand respondents had the most regrets about getting drunk. 858 00:47:00,200 --> 00:47:05,759 Speaker 1: So my theory that there's this um Arizona anthropologist who 859 00:47:06,120 --> 00:47:09,759 Speaker 1: focused on like landfills, just digging through landfills to see 860 00:47:09,880 --> 00:47:12,439 Speaker 1: like what the truth was about how much like people 861 00:47:12,480 --> 00:47:17,840 Speaker 1: actually consumed of various things and supposedly just humans in 862 00:47:17,960 --> 00:47:22,680 Speaker 1: general like just under report the amount of like junk food, alcohol, 863 00:47:23,000 --> 00:47:26,399 Speaker 1: tobacco that they consumed by a large degree. So I'm 864 00:47:26,440 --> 00:47:30,560 Speaker 1: wondering if the Irish Polish in New Zealand are the 865 00:47:30,640 --> 00:47:33,640 Speaker 1: ones who were the most likely because of the regrets 866 00:47:33,840 --> 00:47:36,640 Speaker 1: and just having a sense of like guilt or shame 867 00:47:37,120 --> 00:47:41,080 Speaker 1: in the Irish case, shame about about how much they're drinking. 868 00:47:41,360 --> 00:47:44,120 Speaker 1: I'm wondering if that's what's going on here, is that 869 00:47:44,440 --> 00:47:47,680 Speaker 1: that's the sign of who is under report under reporting 870 00:47:47,719 --> 00:47:52,840 Speaker 1: it the most. It's interesting too because like the Danes 871 00:47:53,120 --> 00:47:55,680 Speaker 1: right there, they were only they they were second to 872 00:47:55,760 --> 00:47:58,360 Speaker 1: the Australians, but they were also the country with the 873 00:47:58,520 --> 00:48:01,840 Speaker 1: least regret Yeah bro about drinking, which I think is 874 00:48:01,880 --> 00:48:05,560 Speaker 1: really interesting because that shows like like when I went 875 00:48:05,600 --> 00:48:08,319 Speaker 1: to I've been to Denmark before. Her Majesty studied abroad there, 876 00:48:08,760 --> 00:48:10,840 Speaker 1: and I was asking him, like, what's the vibe, Like, 877 00:48:10,880 --> 00:48:12,480 Speaker 1: I mean when we were there, like people, yeah, we're 878 00:48:12,480 --> 00:48:14,440 Speaker 1: getting drunk, but it didn't feel like it was getting 879 00:48:14,480 --> 00:48:18,360 Speaker 1: like dark or like overly debaucherous, and it was just 880 00:48:18,400 --> 00:48:20,200 Speaker 1: sort of a summer thing like yeah, people have fun. 881 00:48:20,280 --> 00:48:22,479 Speaker 1: And also like you know, it's normal for like kids 882 00:48:22,520 --> 00:48:25,080 Speaker 1: to have like a kid's beer around the holidays and 883 00:48:25,200 --> 00:48:28,279 Speaker 1: things like that. So it's when I see that, I'm like, 884 00:48:28,320 --> 00:48:30,080 Speaker 1: I wonder if that's like a healthy like that's what 885 00:48:30,160 --> 00:48:32,200 Speaker 1: we're seeing as a healthy drinking culture or people are 886 00:48:32,239 --> 00:48:35,399 Speaker 1: just oblivious or like, no, man, no regrets. I haven't 887 00:48:35,440 --> 00:48:39,120 Speaker 1: seen my kids in like six months. Man, bro a 888 00:48:39,160 --> 00:48:41,880 Speaker 1: little Copenhagen, Like, I don't know what. I don't know 889 00:48:41,960 --> 00:48:43,759 Speaker 1: what it all says. But yeah, there's there's definitely a 890 00:48:43,800 --> 00:48:46,200 Speaker 1: lot to parse through here. Cocaine use was through the 891 00:48:46,280 --> 00:48:50,960 Speaker 1: roof though, is that true? Yeah? Is that true? Cocaine 892 00:48:51,000 --> 00:48:53,960 Speaker 1: and we do use Yeah, when all illicit drug use 893 00:48:54,040 --> 00:48:57,880 Speaker 1: went up pretty significantly. Oh wow, yeah, I mean we 894 00:48:58,120 --> 00:49:00,719 Speaker 1: make sense, right, it's be becoming more I mean in 895 00:49:00,840 --> 00:49:04,160 Speaker 1: general stigmatized. I think it's like you're also seeing like 896 00:49:04,280 --> 00:49:06,120 Speaker 1: and I think what this also shows two is that 897 00:49:06,800 --> 00:49:11,080 Speaker 1: there is this like just general stress that people are experiencing, 898 00:49:11,239 --> 00:49:14,080 Speaker 1: and many people are turning to substances to you know, 899 00:49:14,600 --> 00:49:18,239 Speaker 1: blow some steam off, whether healthily or unhealthily. Nothing like 900 00:49:18,360 --> 00:49:22,359 Speaker 1: doing some cocaine to just cut through the stress. Yeah, man, 901 00:49:22,560 --> 00:49:29,319 Speaker 1: just just chill out this lost my gig eight ball 902 00:49:29,360 --> 00:49:31,839 Speaker 1: of cocaine, Get an eight ball and invent a whole 903 00:49:31,960 --> 00:49:34,640 Speaker 1: new job for me to do and become rich off 904 00:49:34,760 --> 00:49:38,560 Speaker 1: of Yeah. Yeah, that's interesting. Oh no, it just blows 905 00:49:38,600 --> 00:49:41,279 Speaker 1: my mind. I mean, like, I think the pandemic kind 906 00:49:41,320 --> 00:49:43,000 Speaker 1: of lit a fire under all of us. I mean 907 00:49:43,360 --> 00:49:45,799 Speaker 1: I was drinking. I remember my girlfriend would like every 908 00:49:46,160 --> 00:49:49,160 Speaker 1: could we turn into like like a young retired couple. 909 00:49:49,360 --> 00:49:51,839 Speaker 1: It was like she would be like six pm every 910 00:49:51,920 --> 00:49:55,640 Speaker 1: day taking weed gummies. I would be making cocktails like 911 00:49:56,040 --> 00:49:57,360 Speaker 1: you know. She was in l A. I live in 912 00:49:57,400 --> 00:49:58,880 Speaker 1: New York, so I was just with her, and I 913 00:49:59,000 --> 00:50:01,440 Speaker 1: was like the bar really bigger and bigger. I was 914 00:50:01,560 --> 00:50:05,759 Speaker 1: like Manhattan's today, Uh you know, tequila soda. It got 915 00:50:05,960 --> 00:50:09,319 Speaker 1: it became a like a lifestyle thing. I'm like, oh shit, 916 00:50:09,440 --> 00:50:12,520 Speaker 1: I'm I've noticed it now when I do comedy clubs, 917 00:50:12,640 --> 00:50:15,440 Speaker 1: like people are more funked up than I've ever seen 918 00:50:16,080 --> 00:50:17,600 Speaker 1: in a way. And I think it's because they got 919 00:50:17,640 --> 00:50:19,880 Speaker 1: so used to drinking at home and they forgot how 920 00:50:19,920 --> 00:50:23,120 Speaker 1: to behave out in front of the people. Again, I 921 00:50:23,239 --> 00:50:25,719 Speaker 1: definitely have suffered from doesn't know how to act in 922 00:50:25,840 --> 00:50:30,479 Speaker 1: public syndrome, like especially first time. First couple of times 923 00:50:30,520 --> 00:50:33,279 Speaker 1: I went out, like I couldn't. I was like it 924 00:50:33,400 --> 00:50:37,880 Speaker 1: was like my first time drinking ever. Yeah, I've noticed 925 00:50:38,080 --> 00:50:42,000 Speaker 1: that I forgot how to clap during the pandemic. I 926 00:50:44,239 --> 00:50:46,880 Speaker 1: am a classically somebody who doesn't know what to do 927 00:50:46,960 --> 00:50:51,000 Speaker 1: with his hands. But like I've been at multiple events 928 00:50:51,080 --> 00:50:53,560 Speaker 1: where I like find myself clapping and it's just like 929 00:50:54,000 --> 00:50:57,000 Speaker 1: to just dry things like hitting each other and like 930 00:50:57,239 --> 00:51:00,480 Speaker 1: not like not making the clap sound is because you're 931 00:51:00,480 --> 00:51:06,040 Speaker 1: a six Ers fan. Yeah, I think that's it. Like, yeah, 932 00:51:06,040 --> 00:51:08,520 Speaker 1: it took the spark out where I couldn't I couldn't 933 00:51:08,520 --> 00:51:12,760 Speaker 1: do it anymore. Oh another thing, Psychedelic micro dosing also 934 00:51:12,920 --> 00:51:16,359 Speaker 1: on the rise. Oh yeah, and they found too, bro, 935 00:51:16,560 --> 00:51:18,239 Speaker 1: I could have told you that, you know. Yeah, but 936 00:51:18,360 --> 00:51:22,000 Speaker 1: it's coming back in a big fucking way. Man, I'm 937 00:51:22,080 --> 00:51:24,279 Speaker 1: too scared of that ship that like I'm I get 938 00:51:24,360 --> 00:51:28,160 Speaker 1: paranoid on weed. I can't imagine mushrooms that I can't 939 00:51:28,200 --> 00:51:30,960 Speaker 1: imagine the next level. So that's the I mean, I 940 00:51:31,040 --> 00:51:33,840 Speaker 1: think that's the I think that's why. Specifically micro dosing 941 00:51:34,000 --> 00:51:35,960 Speaker 1: is like the key word there. You know, like if 942 00:51:36,000 --> 00:51:38,680 Speaker 1: you've ever done most people, if they've ever done mushrooms 943 00:51:38,760 --> 00:51:40,800 Speaker 1: or something like you're you know, in college or high school, 944 00:51:40,880 --> 00:51:44,520 Speaker 1: typically you're taking an overdose, like a macro dose of 945 00:51:44,680 --> 00:51:48,640 Speaker 1: mushroom like psilocybin, where typically like for it to be 946 00:51:48,719 --> 00:51:51,160 Speaker 1: a micro dose in the sort of traditional sense, like 947 00:51:51,280 --> 00:51:54,480 Speaker 1: you're trying to do it but just below perceptual thresholds. 948 00:51:54,960 --> 00:51:57,080 Speaker 1: So it's not really to the point where like, oh funk, man, 949 00:51:57,120 --> 00:51:59,640 Speaker 1: I think I'm getting like fucking starting to see ship. 950 00:52:00,080 --> 00:52:02,719 Speaker 1: It's more that there's just that little bit of introducing 951 00:52:02,760 --> 00:52:04,880 Speaker 1: it into your system that kind of I think gives 952 00:52:05,040 --> 00:52:06,480 Speaker 1: like sort of the analogy is sort of like you 953 00:52:06,560 --> 00:52:09,080 Speaker 1: go from a closed fist to like an open palm, 954 00:52:09,840 --> 00:52:12,640 Speaker 1: and that's the difference internally for you know, people who 955 00:52:12,680 --> 00:52:16,759 Speaker 1: have dialed in proper, proper tresurement of micro dosing. Yeah, 956 00:52:17,480 --> 00:52:20,160 Speaker 1: I can definitely say, you know, when I was drinking. 957 00:52:20,200 --> 00:52:23,040 Speaker 1: First of all, the pandemic would have been very, very 958 00:52:23,200 --> 00:52:26,440 Speaker 1: bad for me if I was still drinking. And second 959 00:52:26,480 --> 00:52:30,920 Speaker 1: of all, I would have taken issue with their with 960 00:52:31,160 --> 00:52:34,680 Speaker 1: their definition having drunk so much that your physical and 961 00:52:34,800 --> 00:52:37,520 Speaker 1: mental faculties are impaired to the point where your balance, 962 00:52:37,560 --> 00:52:40,279 Speaker 1: speech was affected, you were unable to focus clear like 963 00:52:40,360 --> 00:52:41,839 Speaker 1: I would have been like, no, that's not mean, man, 964 00:52:41,920 --> 00:52:44,120 Speaker 1: I'm I'm actually clear right when I got a couple 965 00:52:44,360 --> 00:52:45,960 Speaker 1: when I got a couple of drinks in me. So 966 00:52:46,080 --> 00:52:49,640 Speaker 1: I would have also lied on this survey and also 967 00:52:49,680 --> 00:52:52,040 Speaker 1: been lying to myself. And I'm a better convenient when 968 00:52:52,080 --> 00:52:59,839 Speaker 1: I'm drunk, I'm fun. Oh yeah, they're like, no seeing 969 00:52:59,880 --> 00:53:02,800 Speaker 1: the behaviors have to be different or from people that 970 00:53:02,960 --> 00:53:04,680 Speaker 1: know me, I have to be appear to be different. 971 00:53:05,000 --> 00:53:09,040 Speaker 1: No kind of knows how I get down. So yeah, 972 00:53:09,040 --> 00:53:11,200 Speaker 1: I don't think I really have gotten drunk. Then, yeah, 973 00:53:11,640 --> 00:53:19,080 Speaker 1: they only know me as the cool me who's fucking hammered. Anyways, 974 00:53:19,280 --> 00:53:23,120 Speaker 1: I yeah, shout out to anyone out there who's who's 975 00:53:23,280 --> 00:53:26,839 Speaker 1: uh struggling with it though? You know, yeah, there's there's 976 00:53:26,840 --> 00:53:29,680 Speaker 1: shipped to do. Hit me up on Twitter if you 977 00:53:29,880 --> 00:53:32,680 Speaker 1: if you need to talk to someone. Alright, Sam, it's 978 00:53:32,719 --> 00:53:34,840 Speaker 1: been such a pleasure of having you man, Thanks for 979 00:53:34,920 --> 00:53:37,040 Speaker 1: having me. Guys, that was fun talking to you. Where 980 00:53:37,080 --> 00:53:39,040 Speaker 1: can I Where can people find you and follow you? 981 00:53:39,760 --> 00:53:42,160 Speaker 1: You know, I'm on all over social media, so Sam 982 00:53:42,200 --> 00:53:45,279 Speaker 1: morrel s a M M O R R. I l 983 00:53:45,360 --> 00:53:48,439 Speaker 1: on on every platform. I got, I post I'm gonna 984 00:53:48,480 --> 00:53:51,239 Speaker 1: shoot a new YouTube special in April. I got I 985 00:53:51,320 --> 00:53:53,839 Speaker 1: got a couple of full length specials on YouTube. I've 986 00:53:53,880 --> 00:53:57,080 Speaker 1: got a bunch of albums where you get that stuff. 987 00:53:57,239 --> 00:53:59,919 Speaker 1: I post a lot of topical stuff on social media 988 00:54:00,120 --> 00:54:01,880 Speaker 1: just because I'm you know, I'm not going to use 989 00:54:01,880 --> 00:54:04,680 Speaker 1: it in a special, so throw it out there. Got 990 00:54:04,760 --> 00:54:07,640 Speaker 1: some Jaline jokes coming your way, maybe some Jesse Smilette 991 00:54:07,680 --> 00:54:09,759 Speaker 1: stuff for the trial, will say so, oh yeah, that 992 00:54:09,800 --> 00:54:14,560 Speaker 1: trial has been wacky too. Yeah yeah, yeah. Just put 993 00:54:14,600 --> 00:54:17,120 Speaker 1: out a documentary on YouTube Goal Full Capacity about the 994 00:54:17,160 --> 00:54:19,880 Speaker 1: club's reopening. It's it's really fun if you haven't seen it. 995 00:54:20,280 --> 00:54:24,880 Speaker 1: Got Ray Romano in it, Colin Quinn, Sam j so 996 00:54:25,000 --> 00:54:28,120 Speaker 1: many good chrish radsm s and l So many funny 997 00:54:28,160 --> 00:54:31,560 Speaker 1: comics are in it. So yeah, you're you're really Mark 998 00:54:31,640 --> 00:54:34,239 Speaker 1: Norman a bunch of bunch of great comics. So check 999 00:54:34,280 --> 00:54:37,280 Speaker 1: it out. Yeah yeah, uh And is there a tweet 1000 00:54:37,440 --> 00:54:40,080 Speaker 1: or some of the work of social media that you've 1001 00:54:40,160 --> 00:54:43,120 Speaker 1: been enjoying? You know, I like, I really like those 1002 00:54:43,160 --> 00:54:46,360 Speaker 1: new guys on Saturday Night Live Please Don't Destroy and 1003 00:54:46,480 --> 00:54:49,359 Speaker 1: they pursed their stuff. I really liked those guys. They've 1004 00:54:49,400 --> 00:54:52,440 Speaker 1: got great chemistry. I like the pacing of the jokes. 1005 00:54:52,640 --> 00:54:55,000 Speaker 1: I like how silly they are. I discovered them when 1006 00:54:55,000 --> 00:54:58,279 Speaker 1: they did the first video of one of the guys 1007 00:54:58,320 --> 00:55:02,560 Speaker 1: getting a shady vaccine. Yeah really, I love this. So 1008 00:55:02,640 --> 00:55:04,960 Speaker 1: I think I'm I'm happy for their success. And uh, 1009 00:55:05,600 --> 00:55:07,160 Speaker 1: I mean, there's so much good stuff out there. Roy 1010 00:55:07,280 --> 00:55:09,800 Speaker 1: would just put out a new special on Comedy Central. 1011 00:55:09,840 --> 00:55:11,759 Speaker 1: I think he's one of the best comics and and 1012 00:55:11,880 --> 00:55:14,400 Speaker 1: try to find it because Manda's Comedy Central stink and 1013 00:55:14,920 --> 00:55:18,520 Speaker 1: letting you find their stuff. Yeah, you have to enter 1014 00:55:18,640 --> 00:55:21,239 Speaker 1: like a password, a code. You have to uh like 1015 00:55:21,360 --> 00:55:26,200 Speaker 1: go to a physical location like coordinate even online. You 1016 00:55:26,280 --> 00:55:28,480 Speaker 1: have to bring a vax card. You know, it's it's 1017 00:55:28,480 --> 00:55:31,160 Speaker 1: a lot. They're terrible at that stuff. So find royce stuff. 1018 00:55:31,200 --> 00:55:35,200 Speaker 1: He's terrific. He's so fucking funny and great a great 1019 00:55:35,280 --> 00:55:37,400 Speaker 1: guy as well. So yeah, really like one of the 1020 00:55:37,480 --> 00:55:40,840 Speaker 1: nicest people we've ever worked with. Go go find that. 1021 00:55:41,760 --> 00:55:44,000 Speaker 1: Miles where can people find you? What's the tweet you've 1022 00:55:44,000 --> 00:55:46,640 Speaker 1: been enjoying? Find me on Twitter and Instagram at Miles 1023 00:55:46,719 --> 00:55:49,480 Speaker 1: of Gray and also the other show for twenty Day 1024 00:55:49,600 --> 00:55:54,000 Speaker 1: Fiance where so Fhie Alexander and I talk ninety day Fiance. 1025 00:55:54,400 --> 00:55:58,480 Speaker 1: Some tweets that I'm liking. First one is from your 1026 00:55:58,520 --> 00:56:01,960 Speaker 1: Doyer at your Doyer on to score, he tweeted, musicals 1027 00:56:02,000 --> 00:56:10,680 Speaker 1: are like singing and dancing and throwing big double doors open. Uh. 1028 00:56:10,840 --> 00:56:13,360 Speaker 1: And then at miss jel Lynsky j E L O 1029 00:56:13,480 --> 00:56:15,719 Speaker 1: I M. S K why, I tweeted, my husband told 1030 00:56:15,760 --> 00:56:17,879 Speaker 1: me when he starts thinking about stuff that's too heavy 1031 00:56:17,920 --> 00:56:21,560 Speaker 1: and depressing, he goes to quote scarecrow mode and I 1032 00:56:21,760 --> 00:56:24,279 Speaker 1: was like, what's that? And he was like, I think 1033 00:56:24,320 --> 00:56:27,280 Speaker 1: about a scarecrow for a while, and then I laughed, 1034 00:56:31,520 --> 00:56:35,200 Speaker 1: scarecrow mode, Yeah, I gotta try that. You could try 1035 00:56:35,280 --> 00:56:37,279 Speaker 1: that one out, all right. You can find me on 1036 00:56:37,320 --> 00:56:40,440 Speaker 1: Twitter at Jack Underscore O'Brien. A couple of tweets I've 1037 00:56:40,440 --> 00:56:44,160 Speaker 1: been enjoying. David C. Bell at movie Hoole again tweeted, look, 1038 00:56:44,200 --> 00:56:47,440 Speaker 1: I don't like this anymore than you, but Wes Anderson 1039 00:56:47,520 --> 00:56:52,320 Speaker 1: should remake Clue, which is just true. Maddie Gross tweeted 1040 00:56:52,360 --> 00:56:54,840 Speaker 1: whenever a frozen pizza says to put it directly on 1041 00:56:54,960 --> 00:56:57,279 Speaker 1: the rack, I'm like, you, crazy son of a bit. 1042 00:56:57,520 --> 00:57:02,640 Speaker 1: We might just pull this off. Oh. Ben E tweeted, 1043 00:57:03,200 --> 00:57:07,239 Speaker 1: and is this Susan Sarandon in the room with us now? 1044 00:57:08,000 --> 00:57:10,800 Speaker 1: And Dear Drew tweeted cars should have a second friendly 1045 00:57:10,880 --> 00:57:13,319 Speaker 1: or horn to say thank you or if you want 1046 00:57:13,360 --> 00:57:16,040 Speaker 1: to let people know you just drove past a cool animal. 1047 00:57:16,120 --> 00:57:18,280 Speaker 1: And I just agree with that. That is true. And 1048 00:57:18,400 --> 00:57:20,440 Speaker 1: you can find us on Twitter at Daily Zeitgeist for 1049 00:57:20,480 --> 00:57:23,160 Speaker 1: at the Daily Zechheist on Instagram. We have Facebook fan 1050 00:57:23,240 --> 00:57:26,160 Speaker 1: page and a website Daily Zeitgeist dot com where we 1051 00:57:26,240 --> 00:57:29,320 Speaker 1: post our episodes and our footnote where we link off 1052 00:57:29,360 --> 00:57:32,000 Speaker 1: to the information that we talked about in today's episode. Well, 1053 00:57:32,000 --> 00:57:33,880 Speaker 1: it is the song that we think you might enjoy, Miles, 1054 00:57:33,920 --> 00:57:36,280 Speaker 1: what song do we think people might enjoy? Oh, I 1055 00:57:36,400 --> 00:57:40,000 Speaker 1: think you are going to enjoy this track from when 1056 00:57:40,000 --> 00:57:42,680 Speaker 1: I looked on my Spotify wrap the artist I listened 1057 00:57:42,680 --> 00:57:45,400 Speaker 1: to the most of this year, Dirty Art Club. This 1058 00:57:45,480 --> 00:57:48,080 Speaker 1: is from the album Vermilion. The track is called Evermore, 1059 00:57:48,680 --> 00:57:51,240 Speaker 1: and like all Dirty Art Club tracks, I just love 1060 00:57:51,360 --> 00:57:54,720 Speaker 1: the aesthetic of his work. It's very obviously, very sample heavy, 1061 00:57:54,800 --> 00:57:57,640 Speaker 1: but reconstructed in a way that gives us some just 1062 00:57:58,000 --> 00:58:00,240 Speaker 1: edge to it. And this track specifically sound was like 1063 00:58:00,320 --> 00:58:03,760 Speaker 1: the opening credits of like an Italian soap opera. But 1064 00:58:03,960 --> 00:58:05,720 Speaker 1: if you were like on acid and why trying to 1065 00:58:05,760 --> 00:58:08,880 Speaker 1: watch a TV so shout out to Evermore by Dirty 1066 00:58:09,000 --> 00:58:11,120 Speaker 1: Art Club. All right, Well, The Daily zeit Geis is 1067 00:58:11,160 --> 00:58:13,360 Speaker 1: a production of I Heart Radio from more podcast from 1068 00:58:13,360 --> 00:58:15,960 Speaker 1: my heart Radio, visit the I Heart Radio app, Apple podcast, 1069 00:58:16,080 --> 00:58:18,120 Speaker 1: or wherever you listen to your favorite shows that's gonna 1070 00:58:18,200 --> 00:58:20,600 Speaker 1: do it for us this morning, but we're back this 1071 00:58:20,720 --> 00:58:22,800 Speaker 1: afternoon to tell you what's trending. I won't talk to 1072 00:58:22,840 --> 00:58:24,160 Speaker 1: you all then, Bye bye,