1 00:00:00,240 --> 00:00:03,840 Speaker 1: Hello the Internet, and welcome to season two nineteen, episode 2 00:00:03,880 --> 00:00:09,160 Speaker 1: four of judeallis like, guys, the production of My Heart Radio. This. 3 00:00:09,160 --> 00:00:11,280 Speaker 1: This is a podcast retake, a deep brive into American's 4 00:00:11,280 --> 00:00:16,520 Speaker 1: sharre consciousness. I'm glad you asked. It's Thursday, January two, 5 00:00:17,040 --> 00:00:22,239 Speaker 1: which of course means it's national Well, I mean, Jack, 6 00:00:22,320 --> 00:00:25,120 Speaker 1: you don't know, and you don't know, and you don't know. 7 00:00:25,600 --> 00:00:28,600 Speaker 1: That's Look, it's Korean American Day. Shout out all my 8 00:00:28,680 --> 00:00:34,479 Speaker 1: Korean Americans. It's National rubber Ducky Day, National whatever sticker day. 9 00:00:34,479 --> 00:00:37,040 Speaker 1: We get about that huge day for my kids. Man, 10 00:00:37,159 --> 00:00:41,600 Speaker 1: they love all their Korean Americans who love stickers and 11 00:00:42,000 --> 00:00:46,239 Speaker 1: rubber duckies. Yeah, shout out. Don't let them find out 12 00:00:46,240 --> 00:00:50,440 Speaker 1: about this ship or they'll expect presidents or something. Anyway, 13 00:00:50,560 --> 00:00:53,880 Speaker 1: You're proud now, Okay, get that same energy up tomorrow 14 00:00:53,880 --> 00:00:57,320 Speaker 1: when it's not Korean American Day. WHOA whoa my name? 15 00:00:57,880 --> 00:01:00,720 Speaker 1: Well it's Jack O'Brien ak you out with t d Z. 16 00:01:01,280 --> 00:01:03,880 Speaker 1: Yeah you know me? I was Gray and j Ob 17 00:01:04,360 --> 00:01:07,280 Speaker 1: Yeah you know me? Who's down with td zy? Every 18 00:01:07,360 --> 00:01:12,040 Speaker 1: last lefty. That is courtesy at Chris Mackling. Mackling with 19 00:01:12,200 --> 00:01:14,880 Speaker 1: energy and I'm thrilled to be joined as always by 20 00:01:14,920 --> 00:01:19,880 Speaker 1: my co host Mr Miles Rod. I always being like 21 00:01:20,319 --> 00:01:24,920 Speaker 1: I just saw Michael Stipe, but it was just some guy. 22 00:01:25,160 --> 00:01:30,760 Speaker 1: Oh I always feel like I just saw Michael Stipe. 23 00:01:31,080 --> 00:01:34,839 Speaker 1: Guess I'm just super high. Oh, thank you so much. 24 00:01:34,880 --> 00:01:40,080 Speaker 1: The hoss Bussman on the discord rockwell inspired. I mean, 25 00:01:40,360 --> 00:01:43,640 Speaker 1: you know, a k they have continued to just get 26 00:01:43,680 --> 00:01:46,240 Speaker 1: better and better. That was that was a high point 27 00:01:46,280 --> 00:01:49,320 Speaker 1: for the you mistaken with some guy and Trader Joe's 28 00:01:49,320 --> 00:01:52,240 Speaker 1: from Michael Stipe a k S. I gotta say, very 29 00:01:52,240 --> 00:01:56,680 Speaker 1: well done, Hoss. Have you heard people call people hoss 30 00:01:57,320 --> 00:02:02,640 Speaker 1: and anywhere in your life, Like I remember people would 31 00:02:02,640 --> 00:02:07,400 Speaker 1: say that flippantly about like a big kid like grade 32 00:02:07,600 --> 00:02:11,160 Speaker 1: and that's like my flag football coach, kid, he's a hoss. 33 00:02:11,680 --> 00:02:14,480 Speaker 1: That's a real Kentucky thing as people calling each other has. 34 00:02:16,840 --> 00:02:21,960 Speaker 1: I think it's just like man, but in Kentucky. But 35 00:02:22,080 --> 00:02:23,960 Speaker 1: why was why would you say someone's a hoss and 36 00:02:24,040 --> 00:02:27,679 Speaker 1: like gesture to their physical presence, being like yeah, yeah, no, 37 00:02:27,840 --> 00:02:32,760 Speaker 1: for sure, that is the more common usage of the phrase, 38 00:02:32,960 --> 00:02:36,160 Speaker 1: but the in terms of just like being a general, 39 00:02:36,200 --> 00:02:39,000 Speaker 1: all purpose kind of greeting that that was big in 40 00:02:39,080 --> 00:02:42,160 Speaker 1: Kentucky and I've never heard it since I moved out 41 00:02:42,160 --> 00:02:45,480 Speaker 1: of there. Yeah, you're gonna give us more inside information 42 00:02:45,560 --> 00:02:47,880 Speaker 1: is like getting if you know the homology. But yeah, yeah, 43 00:02:47,960 --> 00:02:52,280 Speaker 1: well Miles, we are thrilled. We're delighted to be joined 44 00:02:52,560 --> 00:02:56,320 Speaker 1: by a very funny writer, graphic designer, illustrator uh and 45 00:02:56,400 --> 00:02:59,639 Speaker 1: one of the funniest stand up comedians doing it. His 46 00:03:00,200 --> 00:03:05,399 Speaker 1: sixteen Bits is available wherever fine comedy albums can be streamed, 47 00:03:05,720 --> 00:03:11,240 Speaker 1: heard downloaded. Please welcome, though brilliant the talented Stephen Wilbie. 48 00:03:14,160 --> 00:03:22,519 Speaker 1: Steven only happens when it's Wilber Wilbur's only love you 49 00:03:22,639 --> 00:03:27,480 Speaker 1: when they're Steve, and thank you to uh Bacarat for 50 00:03:27,680 --> 00:03:32,840 Speaker 1: that one, Stevens. They will come and they will go, 51 00:03:34,000 --> 00:03:41,000 Speaker 1: Okay Steven, Is that true or is it just rumors? Exactly? Oh? Okay, okay, 52 00:03:41,120 --> 00:03:48,839 Speaker 1: step Ship. Can we keep this going? No? No, let's 53 00:03:48,840 --> 00:03:52,080 Speaker 1: just end it right there. Let's new man. Nothing I've 54 00:03:52,160 --> 00:03:55,840 Speaker 1: moved to it. I feel like every time I've done 55 00:03:55,880 --> 00:03:59,119 Speaker 1: this show, I've lived in a different place. So yeah, 56 00:03:59,160 --> 00:04:01,800 Speaker 1: we're right. You know, I was in Kentucky, Land of 57 00:04:01,880 --> 00:04:07,160 Speaker 1: the Hosses, and uh now I'm back in l A. Baby, 58 00:04:07,400 --> 00:04:10,000 Speaker 1: you are okay because I remember the first time. I 59 00:04:10,040 --> 00:04:12,280 Speaker 1: think we were all in a hotel room in Portland. 60 00:04:12,720 --> 00:04:18,720 Speaker 1: Yeah and yeah kicking off. I believe there are rumors 61 00:04:18,880 --> 00:04:22,640 Speaker 1: that that recording caused COVID nineteen, that that's where it originally, 62 00:04:22,839 --> 00:04:25,960 Speaker 1: but you know, we're not gonna hold accountable for that thing. 63 00:04:26,080 --> 00:04:27,719 Speaker 1: And then yes, so then from there you went to 64 00:04:27,800 --> 00:04:31,240 Speaker 1: Kentucky and now you're back in l A. Huh yeah. 65 00:04:31,400 --> 00:04:34,719 Speaker 1: Did anybody call you hoss while you're in Kentucky? Uh? No, 66 00:04:35,040 --> 00:04:39,760 Speaker 1: They mostly called me things I are not podcast safe. 67 00:04:42,880 --> 00:04:47,240 Speaker 1: How long you been back in l A since August? Oh? Shit? Okay, yeah, 68 00:04:49,160 --> 00:04:51,320 Speaker 1: you were here, then you went to Portland than Kentucky, 69 00:04:51,360 --> 00:04:54,560 Speaker 1: and then you're back. What's what's it like coming back better? 70 00:04:54,920 --> 00:04:58,640 Speaker 1: I feel like COVID has really helped my expectations on 71 00:04:58,760 --> 00:05:06,080 Speaker 1: getting famous, so I get to appreciate it more. Was 72 00:05:06,120 --> 00:05:10,919 Speaker 1: a place leading indicators and symptoms of COVID. Is that 73 00:05:11,000 --> 00:05:14,680 Speaker 1: it helps your expectations with getting famous? Yeah? Absolutely. You 74 00:05:14,720 --> 00:05:18,799 Speaker 1: do have a photograph of a cat in the same 75 00:05:18,920 --> 00:05:21,800 Speaker 1: laser field that I was photographed in for my third 76 00:05:21,800 --> 00:05:28,320 Speaker 1: grade picture. Behind it's a blanket? Yeah, is that a 77 00:05:29,040 --> 00:05:32,160 Speaker 1: commissioned work or you that's a retail it was a gift. 78 00:05:32,480 --> 00:05:38,160 Speaker 1: This is my cat thunder. Yeah, he also only happens 79 00:05:38,160 --> 00:05:44,680 Speaker 1: when it's raining, but that's also not true. Just can 80 00:05:44,720 --> 00:05:47,560 Speaker 1: we let them know your your cat may only happy 81 00:05:47,560 --> 00:05:51,080 Speaker 1: when it's raining, but the thunder only happening when it's 82 00:05:51,160 --> 00:05:54,800 Speaker 1: raining is not true. And it's I've said it before, 83 00:05:54,839 --> 00:05:57,480 Speaker 1: I'll say it again. I do not listen to Stevie 84 00:05:57,560 --> 00:06:01,600 Speaker 1: Nicks when it comes to her meteorological ice. Mm hmmmm. 85 00:06:01,960 --> 00:06:06,680 Speaker 1: Fox me every time you guys, every single time, I 86 00:06:06,680 --> 00:06:09,640 Speaker 1: feel like, did did you guys have that laser background 87 00:06:10,440 --> 00:06:15,320 Speaker 1: childhood school picture back? I did for one of them. Yeah, yeah, 88 00:06:15,680 --> 00:06:19,240 Speaker 1: ours was like always like some shitty texture, like it 89 00:06:19,320 --> 00:06:23,360 Speaker 1: looked like granite or something. They never they never let 90 00:06:23,400 --> 00:06:27,719 Speaker 1: you like that. You never had the white no no, 91 00:06:27,800 --> 00:06:30,800 Speaker 1: but like everyone would come in there. There would be 92 00:06:30,880 --> 00:06:33,240 Speaker 1: like I think a couple options, but it would just 93 00:06:33,279 --> 00:06:37,159 Speaker 1: be like a green screen and oh god it. Oh no, yeah, 94 00:06:37,400 --> 00:06:43,120 Speaker 1: we had we had just one little sad uh you know, 95 00:06:43,440 --> 00:06:45,600 Speaker 1: seamless that the guy would roll down and it looked 96 00:06:45,640 --> 00:06:48,520 Speaker 1: like just like a painter's like what they like put 97 00:06:48,560 --> 00:06:51,120 Speaker 1: down on the ground when you're painting. Because it's kind 98 00:06:51,160 --> 00:06:53,279 Speaker 1: of like splatter painting on canvas. I don't know, it 99 00:06:53,320 --> 00:06:56,080 Speaker 1: was just very uninteresting. Never arrived to the laser level, 100 00:06:56,120 --> 00:06:59,520 Speaker 1: that's for sure. The thing I remember the most was 101 00:07:00,040 --> 00:07:03,160 Speaker 1: had the same guy every year and he would always 102 00:07:03,200 --> 00:07:07,159 Speaker 1: like call you out on something and then say that 103 00:07:07,240 --> 00:07:10,280 Speaker 1: instead of cheese, like he would be like, hey, you 104 00:07:10,320 --> 00:07:13,080 Speaker 1: look like you eat a lot of hamburgers, say hamburger? 105 00:07:14,440 --> 00:07:17,040 Speaker 1: Did you got? I had the same ur This one 106 00:07:17,120 --> 00:07:18,680 Speaker 1: dude had our school pictures on the lock too. I 107 00:07:18,680 --> 00:07:20,960 Speaker 1: remember he was a guy who was like this big 108 00:07:21,040 --> 00:07:24,720 Speaker 1: dude who had a ponytail and always wore shorts and 109 00:07:24,760 --> 00:07:27,120 Speaker 1: like I always just remember his like high white socks 110 00:07:27,120 --> 00:07:29,200 Speaker 1: and his shorts and he would always be like, oh, 111 00:07:29,320 --> 00:07:31,520 Speaker 1: this guy's got ears. Huh oh, look right here being 112 00:07:31,560 --> 00:07:35,080 Speaker 1: boom and I'm like, yo, are you talking? Like yeah, 113 00:07:35,480 --> 00:07:37,280 Speaker 1: it seems like I don't know, like if there was 114 00:07:37,320 --> 00:07:40,320 Speaker 1: a tereology to this kind of thing where it's like 115 00:07:40,600 --> 00:07:43,200 Speaker 1: get you with a line, distract you, disorient you, ask 116 00:07:43,280 --> 00:07:45,520 Speaker 1: you to smile, then I got it or maybe say 117 00:07:45,560 --> 00:07:48,240 Speaker 1: something that. Because he would also do sad ass jokes. 118 00:07:48,240 --> 00:07:51,000 Speaker 1: I remember being in mind like let's do fuck, did 119 00:07:51,320 --> 00:07:54,880 Speaker 1: I told you? About my ex wife. Maybe this kid 120 00:07:55,160 --> 00:08:01,440 Speaker 1: that rich parents say macaroni right, fuck, what a racket? 121 00:08:01,600 --> 00:08:07,960 Speaker 1: What they're they're still doing it. They're still for their school, 122 00:08:08,760 --> 00:08:12,240 Speaker 1: but that ship at home. They still they still do 123 00:08:12,360 --> 00:08:15,800 Speaker 1: it even though, Like there's a photograph of my kids 124 00:08:15,840 --> 00:08:19,160 Speaker 1: probably for every hour they've been alive, just because I 125 00:08:19,280 --> 00:08:21,760 Speaker 1: like taking pictures of them. I think they're cute. And 126 00:08:21,800 --> 00:08:24,360 Speaker 1: I'm sure that's true of most children who are alive 127 00:08:24,440 --> 00:08:28,960 Speaker 1: today taking pictures of them. Oh yeah, yeah, that's that's true, 128 00:08:29,040 --> 00:08:34,000 Speaker 1: most children taking picture They're so cute. Look over here, years, 129 00:08:34,200 --> 00:08:36,120 Speaker 1: That's what I like to say to them. Hey, years, 130 00:08:36,240 --> 00:08:39,080 Speaker 1: what that's all my pictures of me? Like in the 131 00:08:39,120 --> 00:08:41,400 Speaker 1: middle of being like, my face is like I was 132 00:08:41,480 --> 00:08:45,240 Speaker 1: hurt by that comment. Yeah, alright, Stephen, we're gonna get 133 00:08:45,240 --> 00:08:47,520 Speaker 1: to know you a little bit better in a moment. First, 134 00:08:47,679 --> 00:08:49,880 Speaker 1: a couple of things we're talking about. We're gonna talk 135 00:08:49,880 --> 00:08:55,400 Speaker 1: about Trump going on NPR and just getting owned severe 136 00:08:55,480 --> 00:09:01,920 Speaker 1: ownage by questions. Yeah, like the att rapper of NPR. 137 00:09:02,400 --> 00:09:11,120 Speaker 1: Stevens keep straight exactly, Stevens keep the the b rabbit 138 00:09:11,360 --> 00:09:15,280 Speaker 1: of NPR. We'll talk about Prince Andrew. We will talk 139 00:09:15,320 --> 00:09:19,959 Speaker 1: about the new n f T restaurant, and we might 140 00:09:20,000 --> 00:09:23,320 Speaker 1: even get to the Oscars, which are looking at having 141 00:09:23,360 --> 00:09:31,560 Speaker 1: a host again. Oh yes, look at that, and it 142 00:09:31,559 --> 00:09:36,680 Speaker 1: will be Tim Allen. Yeah. Before we get to any 143 00:09:36,679 --> 00:09:40,040 Speaker 1: of that, we do like to ask our guests, Stephen, 144 00:09:40,200 --> 00:09:43,120 Speaker 1: what is something from your search history? Well? I was 145 00:09:43,200 --> 00:09:46,400 Speaker 1: looking this up because not to brag, but I'm working 146 00:09:46,440 --> 00:09:49,280 Speaker 1: on a bit of a screenplay. So like all my 147 00:09:49,880 --> 00:09:55,160 Speaker 1: Hollywood all my search things are like just trying to 148 00:09:55,200 --> 00:09:57,960 Speaker 1: make sure my references are right, like or like trying 149 00:09:58,040 --> 00:10:01,240 Speaker 1: to think of something to put in it. So in order, 150 00:10:01,400 --> 00:10:06,839 Speaker 1: I've got coffeemaker cleaning tabs, the Jamie Kennedy experiment, one 151 00:10:06,920 --> 00:10:12,800 Speaker 1: hit wonders from the two thousand's Blacklisted Celebrities, finance related holidays, 152 00:10:13,120 --> 00:10:17,959 Speaker 1: and then jumping a Ramsey. Okay, what it all leads 153 00:10:18,000 --> 00:10:19,640 Speaker 1: back to John being a rams And give me a 154 00:10:19,679 --> 00:10:22,120 Speaker 1: logline for the script? You know, don't don't you know? 155 00:10:22,160 --> 00:10:24,640 Speaker 1: I don't have to reveal everything, but what if the 156 00:10:24,720 --> 00:10:30,800 Speaker 1: guy was sad? All right, I love it and had 157 00:10:30,840 --> 00:10:36,040 Speaker 1: a computer? Yeah yeah, and Google and uh and final 158 00:10:36,160 --> 00:10:39,520 Speaker 1: and final draft. Well, I'm still on the trial, so 159 00:10:40,679 --> 00:10:43,120 Speaker 1: fingers crossed I get it done by then, hopefully I 160 00:10:43,200 --> 00:10:48,199 Speaker 1: got five more days to it's a great motivator. Yeah yeah, right, 161 00:10:48,559 --> 00:10:50,920 Speaker 1: So if you use another fake email to sign up 162 00:10:50,960 --> 00:10:55,040 Speaker 1: for a trial copy, it's a great clock menace threat. Well, 163 00:10:55,080 --> 00:10:58,520 Speaker 1: a little screenwriting. So what what's I mean? Let me 164 00:10:58,760 --> 00:11:02,320 Speaker 1: why was it hockey machine? Cleaning tablets? How you said 165 00:11:02,400 --> 00:11:07,160 Speaker 1: coffee made cleaning tablets. That's a thing? Yeah, like little 166 00:11:07,280 --> 00:11:09,800 Speaker 1: they then they dissolve in the water and then you 167 00:11:10,120 --> 00:11:12,439 Speaker 1: run the water through the coffee maker and it cleans 168 00:11:12,480 --> 00:11:18,320 Speaker 1: it up. Yeah. God, Okay, so this is an action film. 169 00:11:18,360 --> 00:11:20,800 Speaker 1: It's a buddy comedy. Okay, I got it, got it? 170 00:11:20,800 --> 00:11:23,000 Speaker 1: Got Oh yeah, I put the cleaning tabs in the 171 00:11:23,080 --> 00:11:28,040 Speaker 1: coffee maker, Roger, and Roger is a cleaning tab He's like, 172 00:11:28,440 --> 00:11:32,560 Speaker 1: what do you want me to kill myself? My favorite 173 00:11:32,960 --> 00:11:35,720 Speaker 1: genre of movies are are the ones that you start 174 00:11:35,760 --> 00:11:38,520 Speaker 1: out thinking they're about one thing, but then in the 175 00:11:38,640 --> 00:11:43,600 Speaker 1: end they're actually about John ben A Ramsey, Like The Rock, Yeah, exactly, 176 00:11:44,440 --> 00:11:48,400 Speaker 1: like that nine eleven movie, the one where it's Rob 177 00:11:48,440 --> 00:11:53,599 Speaker 1: Pattinson and then you find out at the end it's right, 178 00:11:54,080 --> 00:11:56,880 Speaker 1: because yours end with a reveal. Hold back the it's 179 00:11:56,960 --> 00:11:59,840 Speaker 1: the the neighbor, Like you pull back from a Home 180 00:12:00,040 --> 00:12:02,959 Speaker 1: Loan remake and then like he happen to live next 181 00:12:03,000 --> 00:12:07,600 Speaker 1: door to John ban A Ramsey because Christmas Christmas starts 182 00:12:07,600 --> 00:12:10,160 Speaker 1: out as a John ban A Ramsey thing and then 183 00:12:12,000 --> 00:12:15,559 Speaker 1: you zoom like the final the final scene finally like 184 00:12:15,640 --> 00:12:18,559 Speaker 1: makes the ultimate sacrifice the coffee tap does and let's 185 00:12:18,920 --> 00:12:21,840 Speaker 1: the other guy clean the coffee pot and then it 186 00:12:21,960 --> 00:12:29,079 Speaker 1: zooms out branch Davidian compound. I love this. Do people 187 00:12:29,160 --> 00:12:31,960 Speaker 1: know about that Robert Pattinson movie? Like it was a 188 00:12:32,000 --> 00:12:35,120 Speaker 1: talking for a little bit time, but because the revealer 189 00:12:35,120 --> 00:12:37,959 Speaker 1: is someone just scrawling it on a blackboard, right like 190 00:12:38,040 --> 00:12:44,680 Speaker 1: today's date? Yeah, yeah, yeah yeah. Last seeing his inter 191 00:12:44,800 --> 00:12:48,160 Speaker 1: cut between he has gone to meet somebody at the 192 00:12:48,160 --> 00:12:52,080 Speaker 1: World Trade Center. We're intercutting that with somebody who's in class. 193 00:12:52,640 --> 00:12:57,040 Speaker 1: The teacher just writes a nine eleven on the on 194 00:12:57,080 --> 00:12:59,839 Speaker 1: the chalkboard, and then cut back to him and you 195 00:13:00,040 --> 00:13:02,880 Speaker 1: pull out and he's in at the top of the 196 00:13:02,920 --> 00:13:05,400 Speaker 1: World Trade Center as like a plane is coming in, 197 00:13:05,600 --> 00:13:08,400 Speaker 1: and then you planes coming in and him and Mark 198 00:13:08,400 --> 00:13:16,840 Speaker 1: Wahlberg lock eyes through his window seat you to be continued, 199 00:13:18,040 --> 00:13:21,839 Speaker 1: Is that Edward Cullen? Yeah, I mean I would love 200 00:13:21,880 --> 00:13:24,440 Speaker 1: to just to see a John Bennet spin at the end. 201 00:13:24,480 --> 00:13:26,520 Speaker 1: If if that's what you're going in for, so I'm 202 00:13:26,520 --> 00:13:29,679 Speaker 1: signed up boom. What is what something you think is 203 00:13:29,720 --> 00:13:33,760 Speaker 1: over it? Something I think is overrated is the hate 204 00:13:34,200 --> 00:13:38,319 Speaker 1: that is already popping up over wordle, like the the 205 00:13:38,520 --> 00:13:43,320 Speaker 1: takes on wordle and it's popularity because I think we 206 00:13:43,400 --> 00:13:50,560 Speaker 1: had the mannequin challenge, We've had, We've had some like challenge, 207 00:13:49,640 --> 00:13:55,480 Speaker 1: so like it's a trend that like makes people think 208 00:13:55,520 --> 00:14:01,120 Speaker 1: a little bit like do it all you want? Because 209 00:14:01,200 --> 00:14:03,320 Speaker 1: I remember just seeing like the first article be like 210 00:14:03,320 --> 00:14:06,520 Speaker 1: why are people posting their wordles things on Twitter? And 211 00:14:06,559 --> 00:14:08,480 Speaker 1: I was like, I don't know if it's a fucking game, 212 00:14:08,559 --> 00:14:10,760 Speaker 1: Like why is there an article examining like the why 213 00:14:10,840 --> 00:14:14,120 Speaker 1: of it? Like clearly it's something that's become popular, But 214 00:14:14,280 --> 00:14:17,320 Speaker 1: it's like a scrabble type game. It's like a it's 215 00:14:17,320 --> 00:14:20,120 Speaker 1: a your you guess, So you try to guess a 216 00:14:20,160 --> 00:14:24,440 Speaker 1: word and then it tells you how many letters you've 217 00:14:24,480 --> 00:14:28,280 Speaker 1: gotten right or are in the word but somewhere else 218 00:14:28,560 --> 00:14:30,440 Speaker 1: or not in the word at all, and you go 219 00:14:30,520 --> 00:14:33,360 Speaker 1: down six times trying to figure out what the word is. 220 00:14:34,040 --> 00:14:36,880 Speaker 1: Mm hm m m. Yeah, I'm pretty good at it. 221 00:14:37,160 --> 00:14:40,880 Speaker 1: I gotta say, I have resisted the temptation to put 222 00:14:40,880 --> 00:14:43,840 Speaker 1: it out there, put out my scores, but I've gotten 223 00:14:43,880 --> 00:14:47,280 Speaker 1: it one out of seven times, so I'm fucking nailing it. Okay, 224 00:14:47,520 --> 00:14:50,480 Speaker 1: so you've actually hopped in based on the what you 225 00:14:50,520 --> 00:14:53,240 Speaker 1: saw on Twitter? I mean I I like funk with 226 00:14:53,320 --> 00:14:57,440 Speaker 1: the New York Times crossword puzzle and like they're you're 227 00:14:57,480 --> 00:15:02,800 Speaker 1: a short boy. Yeah, I do the the long one 228 00:15:02,840 --> 00:15:06,400 Speaker 1: and the what's the words scramble one where you gotta 229 00:15:06,440 --> 00:15:10,840 Speaker 1: make up as many words as possible bobble. Yeah? Yeah, 230 00:15:11,080 --> 00:15:14,600 Speaker 1: is that what it's called? Bobby game? The little the 231 00:15:14,640 --> 00:15:18,520 Speaker 1: board game? Yeah? But this I like word word is fun? 232 00:15:18,760 --> 00:15:23,480 Speaker 1: So yeah? Are you? Are you a word ale head? Yeah? 233 00:15:23,520 --> 00:15:26,680 Speaker 1: I am? Now yeah. After after I saw people hating 234 00:15:26,720 --> 00:15:29,400 Speaker 1: on it, I was like, well, these people are dumb. 235 00:15:29,640 --> 00:15:32,160 Speaker 1: You know what I do? I drive right into the hatred, 236 00:15:33,040 --> 00:15:36,440 Speaker 1: makes sense of it. There. Are you good though? Uh? 237 00:15:36,520 --> 00:15:40,360 Speaker 1: Pretty good? I'm pretty good. Yeah, it's not that completion rate. 238 00:15:41,360 --> 00:15:45,320 Speaker 1: Have you changed? Have you shared any of your Oh? 239 00:15:45,400 --> 00:15:49,880 Speaker 1: Christ no, I would, I would never I've but like 240 00:15:50,200 --> 00:15:53,920 Speaker 1: I have seen other people share their results, and I'm like, 241 00:15:54,000 --> 00:15:56,760 Speaker 1: I got that one sooner, I'm gonna But then I 242 00:15:56,760 --> 00:15:59,840 Speaker 1: don't I resist the urge to And is that like 243 00:16:00,000 --> 00:16:02,440 Speaker 1: people are hating because some people are like just being 244 00:16:02,480 --> 00:16:10,160 Speaker 1: like word yeah yeah, maybe or maybe people just don't 245 00:16:10,200 --> 00:16:12,920 Speaker 1: like a thing that they don't understand. I would also 246 00:16:13,120 --> 00:16:16,119 Speaker 1: seems to be we have we got so much fucking stress, 247 00:16:16,160 --> 00:16:19,640 Speaker 1: like why waste your fucking energy being like they're freaking 248 00:16:19,720 --> 00:16:23,800 Speaker 1: hate word scores, like seriously, like, and I get people 249 00:16:23,800 --> 00:16:27,160 Speaker 1: are frustrated, So we're we're all just big thundercras clouds 250 00:16:27,160 --> 00:16:30,440 Speaker 1: looking for a lightning rod to strike down our energy onto. 251 00:16:30,720 --> 00:16:33,200 Speaker 1: But I'm telling you it's not gonna it's not gonna 252 00:16:33,280 --> 00:16:37,800 Speaker 1: change anything. Articulating your anger at the word. There's other outlets, 253 00:16:37,960 --> 00:16:42,360 Speaker 1: Yeah yeah, like does Bozo Trump And we'll talk about 254 00:16:42,440 --> 00:16:45,840 Speaker 1: him later. Thanks, thank you want some of the chew 255 00:16:45,880 --> 00:16:48,840 Speaker 1: on folks. But the thunder doesn't only happen when it's raining. 256 00:16:49,000 --> 00:16:52,920 Speaker 1: Because we've covered what is something that you think is underrated? 257 00:16:53,040 --> 00:16:58,800 Speaker 1: Stephen Supply chain issues. Supply chain. Yeah, I think not 258 00:16:58,880 --> 00:17:04,879 Speaker 1: having a P five has really helped me with my productivity. 259 00:17:05,200 --> 00:17:09,160 Speaker 1: So you're saying it's good, thank you. Yeah, blessed, blessed 260 00:17:09,280 --> 00:17:15,800 Speaker 1: to have a chip's shortage? Is your character that the 261 00:17:15,840 --> 00:17:18,720 Speaker 1: main character is like searching for a PS five in 262 00:17:18,720 --> 00:17:21,320 Speaker 1: the script though it's like still entering your consciousness, or 263 00:17:21,600 --> 00:17:27,399 Speaker 1: they're searching for a turbomn action figure. Actually, oh my god, 264 00:17:27,800 --> 00:17:35,520 Speaker 1: and it's John and Patsy Ramsey for Christmas. She's gonna 265 00:17:35,520 --> 00:17:37,879 Speaker 1: be so upset if we home and we got a 266 00:17:37,920 --> 00:17:43,480 Speaker 1: turbo mat. Oh my god. That's so they're out shopping 267 00:17:43,520 --> 00:17:47,560 Speaker 1: the whole time. They never say say their full name. 268 00:17:47,720 --> 00:17:50,200 Speaker 1: And then they get home finally getting the thing and 269 00:17:51,359 --> 00:17:54,479 Speaker 1: the daughter. And I really hate to spoil it, but 270 00:17:54,760 --> 00:18:02,320 Speaker 1: sin Bad does it because he so mad and a 271 00:18:02,400 --> 00:18:05,320 Speaker 1: turbo man. Totally a breakout role for him, because it's 272 00:18:05,320 --> 00:18:07,920 Speaker 1: like Sindbad has been so family friendly. It's like when 273 00:18:07,960 --> 00:18:10,760 Speaker 1: like Robin Williams did like one Hour Photo and people were, 274 00:18:11,000 --> 00:18:18,520 Speaker 1: what the Is there a more unfamily friendly role than 275 00:18:19,040 --> 00:18:21,960 Speaker 1: that the killer? I don't think that you're a child 276 00:18:22,080 --> 00:18:24,879 Speaker 1: murder or No. Yeah, I think that's up there. Yeah, 277 00:18:25,160 --> 00:18:29,520 Speaker 1: all right, well I'm looking forward to that movie Hitting 278 00:18:30,000 --> 00:18:36,000 Speaker 1: the Black. The Black probably first, do not forget it 279 00:18:36,200 --> 00:18:40,480 Speaker 1: ends with Waco. I can't stress that. It's it's all 280 00:18:40,480 --> 00:18:43,800 Speaker 1: the John Bane stuff. Sinbad's the Killer. There's also a 281 00:18:43,840 --> 00:18:50,320 Speaker 1: b plot about coffee, Queeny Tabs, and Waco right the 282 00:18:50,400 --> 00:18:54,280 Speaker 1: right as the trucks are coming in with a t F. Guys, Yeah, 283 00:18:54,880 --> 00:18:59,560 Speaker 1: Janet Reno's just popping out the sun if you look closely, 284 00:18:59,640 --> 00:19:02,280 Speaker 1: Janet Reno's also looking for a turbo Man ball in 285 00:19:02,359 --> 00:19:06,280 Speaker 1: the store frenzy scene. Yeah, he's actually who they modeled 286 00:19:06,280 --> 00:19:10,520 Speaker 1: turbo Man after. That's true. Yeah, okay, don't give it 287 00:19:10,560 --> 00:19:16,080 Speaker 1: all away. What a great riff this has been. Someone's 288 00:19:16,080 --> 00:19:20,760 Speaker 1: already appreciate that it feels good to stretch the legs 289 00:19:20,800 --> 00:19:25,960 Speaker 1: again and just banter about nothing important at all. We're 290 00:19:25,960 --> 00:19:30,399 Speaker 1: just blue sky in this screenplay idea. Man, anything can happen, 291 00:19:30,520 --> 00:19:35,159 Speaker 1: Anything happen. I do wonder if the supply chain issues 292 00:19:35,280 --> 00:19:39,240 Speaker 1: just disrupting the constant stream of being able to get 293 00:19:39,280 --> 00:19:43,480 Speaker 1: everything you want whenever you want, it has made people 294 00:19:43,960 --> 00:19:49,720 Speaker 1: like see the matrix of like the version of consumer 295 00:19:50,720 --> 00:19:53,280 Speaker 1: and consumerism that we live in. They're like, oh, yeah, 296 00:19:53,320 --> 00:19:56,639 Speaker 1: I guess I'm okay with just the stuff that I 297 00:19:56,680 --> 00:19:58,960 Speaker 1: have for a couple of weeks. Maybe I had to 298 00:19:59,040 --> 00:20:04,440 Speaker 1: kill a board the their day. Right. There's been a 299 00:20:04,520 --> 00:20:06,360 Speaker 1: lot of articles about how like a lot of especially 300 00:20:06,359 --> 00:20:10,000 Speaker 1: small businesses, have had to like ideate around certain things 301 00:20:10,040 --> 00:20:12,920 Speaker 1: they used to get to still keep like their businesses going, 302 00:20:13,040 --> 00:20:15,439 Speaker 1: like whether that's like the containers that they put their 303 00:20:15,440 --> 00:20:18,040 Speaker 1: products in and things like that. But yeah, I mean, 304 00:20:18,080 --> 00:20:19,840 Speaker 1: I think for a lot of people it's it's a 305 00:20:19,840 --> 00:20:22,960 Speaker 1: good it's a good organic pumping of the brakes. When 306 00:20:23,000 --> 00:20:25,240 Speaker 1: you go from like I should have everything I need 307 00:20:25,320 --> 00:20:29,040 Speaker 1: within fifteen seconds to being like, yeah, okay, I can. 308 00:20:29,119 --> 00:20:31,159 Speaker 1: I can now think about a purchase and then what 309 00:20:31,320 --> 00:20:34,320 Speaker 1: way whether or not I need to wait nine months 310 00:20:34,320 --> 00:20:36,560 Speaker 1: for it, or if there's another thing or I'm just 311 00:20:36,760 --> 00:20:40,120 Speaker 1: in cotton. The rat race of buying shit unless it's 312 00:20:40,119 --> 00:20:44,840 Speaker 1: like obviously vitally critical, you know, medicine, but other than that, 313 00:20:44,920 --> 00:20:50,480 Speaker 1: like and get it together, get it together, people together asthmatics, 314 00:20:50,520 --> 00:20:55,080 Speaker 1: come on, your ventolin is taking too long to get 315 00:20:57,080 --> 00:21:00,640 Speaker 1: get it right or pay the price anybody watching? So yeah, 316 00:21:00,720 --> 00:21:03,240 Speaker 1: so your sort best. When we think about you, it 317 00:21:03,240 --> 00:21:05,240 Speaker 1: makes me want to fart. Okay, look we're really stretching 318 00:21:05,320 --> 00:21:09,400 Speaker 1: this thing, camp no one. I don't think a lot 319 00:21:09,400 --> 00:21:12,119 Speaker 1: of people think about that part, like in the intro 320 00:21:12,680 --> 00:21:15,119 Speaker 1: and when we think about you and it makes me 321 00:21:15,160 --> 00:21:17,000 Speaker 1: want to fart, and he goes say it right or 322 00:21:17,000 --> 00:21:19,320 Speaker 1: pay the price, like just sort of like that segue 323 00:21:19,400 --> 00:21:22,359 Speaker 1: part in the opening. Hey, man, that's why we get 324 00:21:22,440 --> 00:21:26,119 Speaker 1: paid the big bucks. You know, hidden yicle when there's 325 00:21:26,160 --> 00:21:30,240 Speaker 1: like a somebody's talking like they come yeah and you 326 00:21:30,320 --> 00:21:32,800 Speaker 1: still vamp on that. Well, it's a long way to 327 00:21:32,880 --> 00:21:39,679 Speaker 1: the bus stop. Wow, some someone. I'm realistic that that 328 00:21:39,800 --> 00:21:45,200 Speaker 1: camp counselor knows how to play the piano, to be honest. Wow, Okay, 329 00:21:45,440 --> 00:21:48,639 Speaker 1: doesn't he seem like more of like a gym teacher 330 00:21:48,840 --> 00:21:52,040 Speaker 1: type than a music teacher type. Yeah, but people got 331 00:21:52,040 --> 00:21:57,240 Speaker 1: fucking all. People contain multitudes. Man. Also, I don't think 332 00:21:57,280 --> 00:22:01,600 Speaker 1: there was another adult on that show, so you have 333 00:22:01,720 --> 00:22:05,879 Speaker 1: to fill them vaulted. Yeah, well as you are chef, 334 00:22:06,080 --> 00:22:11,000 Speaker 1: piano player and lifeguard. Mr Earnest he owned the ranch. 335 00:22:11,600 --> 00:22:17,639 Speaker 1: Oh what are you thinking, hey dude? Yeah yeah, wait 336 00:22:17,640 --> 00:22:21,800 Speaker 1: oh wait, wait what are you thinking of them? I'm 337 00:22:21,840 --> 00:22:28,600 Speaker 1: completely on a wanna is what it's? Drink snort ana, 338 00:22:28,680 --> 00:22:33,639 Speaker 1: wanna smoking on smoke marijuana? Wanna there it is? Oh 339 00:22:33,680 --> 00:22:42,000 Speaker 1: that's fun. Reboot. Bud Nick still bud Nick. Oh my god, alright, 340 00:22:42,600 --> 00:22:48,680 Speaker 1: good bud Nick selling fucking wild weed. Man, just keep 341 00:22:48,720 --> 00:22:50,960 Speaker 1: all this stuff. We gotta we gotta keep all this. 342 00:22:50,960 --> 00:22:59,800 Speaker 1: This is post credit sequence. Yeah, Kevin Ugly, Kevin Nugly nugs. 343 00:23:00,200 --> 00:23:04,000 Speaker 1: Oh my god, just say less. They're gonna fucking CBS 344 00:23:04,080 --> 00:23:10,600 Speaker 1: television is gonna come from us Paramount plus baby. Yeah, 345 00:23:10,840 --> 00:23:12,800 Speaker 1: all right, let's take a quick bright we'll be right back, 346 00:23:23,400 --> 00:23:28,800 Speaker 1: and we're back. Yeah. That hopefully, hopefully stayed for the 347 00:23:28,960 --> 00:23:34,600 Speaker 1: entire hour long camp wanna wanna riff your short riff? 348 00:23:34,760 --> 00:23:38,119 Speaker 1: There it is. Took us into the commercial break, but 349 00:23:38,240 --> 00:23:41,280 Speaker 1: we're back to get down to the brass tacks. Talk 350 00:23:41,280 --> 00:23:47,439 Speaker 1: about this Trump guy. Yeah, yeah, right, I guess that's it. 351 00:23:47,520 --> 00:23:49,960 Speaker 1: Remember that Trump by a Trump guy? Right? You know 352 00:23:50,080 --> 00:23:53,520 Speaker 1: this clip that came out on Wednesday, Well, you know 353 00:23:53,800 --> 00:23:57,359 Speaker 1: went viral because I for somehow we saw Donald Trump 354 00:23:57,359 --> 00:24:00,800 Speaker 1: on NPR and it was like they're like Steven Skip 355 00:24:00,840 --> 00:24:02,239 Speaker 1: I think starts the inn of you being like yeah, man, 356 00:24:02,240 --> 00:24:05,880 Speaker 1: we're trying to get you on here. Since um like, yeah, 357 00:24:05,880 --> 00:24:09,080 Speaker 1: thank you so much, let's talk. And this was a 358 00:24:09,200 --> 00:24:13,080 Speaker 1: very bad interview for Trump basically because he was being 359 00:24:13,119 --> 00:24:17,280 Speaker 1: asked to direct questions about his insistence on battling election 360 00:24:17,359 --> 00:24:21,280 Speaker 1: fraud claims, and he was confronted with like direct quotes 361 00:24:21,359 --> 00:24:24,600 Speaker 1: from other Republicans who were like we lost Farren Square 362 00:24:24,760 --> 00:24:27,320 Speaker 1: or you know, election officials being like, yeah, I'm a 363 00:24:27,320 --> 00:24:30,400 Speaker 1: Republican and I did this audit for the party and 364 00:24:30,440 --> 00:24:33,720 Speaker 1: we found no anomalies that would, you know, change the 365 00:24:33,760 --> 00:24:36,720 Speaker 1: results in any fashion. Maybe some administrative things, but nothing 366 00:24:36,720 --> 00:24:39,240 Speaker 1: that would arise to the level of like fraud or corruption. 367 00:24:39,680 --> 00:24:42,440 Speaker 1: So essentially the message to him was like, hey, yeah, 368 00:24:42,480 --> 00:24:46,320 Speaker 1: I'm gonna keep showing you evidence that you lost very fairly, 369 00:24:46,800 --> 00:24:49,879 Speaker 1: and now you, I guess you can just keep denying it. 370 00:24:49,920 --> 00:24:52,520 Speaker 1: And that's what the most of the interview was like 371 00:24:52,600 --> 00:24:56,399 Speaker 1: for about eight minutes, until which point it was clear 372 00:24:56,440 --> 00:24:59,000 Speaker 1: that Trump began really feeling the heat of this interview 373 00:24:59,040 --> 00:25:02,080 Speaker 1: because again on NPR, so you're not being interviewed by 374 00:25:02,080 --> 00:25:05,440 Speaker 1: a sick aphan, like you know, Steven Skip isn't necessarily, 375 00:25:05,840 --> 00:25:07,960 Speaker 1: you know, putting him to the sword. But he is 376 00:25:08,000 --> 00:25:10,720 Speaker 1: pretty consistent by just asking like, but why are you 377 00:25:10,760 --> 00:25:13,000 Speaker 1: saying that? But what about this? But what about this? 378 00:25:13,119 --> 00:25:15,240 Speaker 1: And there's nothing worse for someone who is used to 379 00:25:15,240 --> 00:25:18,320 Speaker 1: someone accepting your lies than someone being like, yeah, no, 380 00:25:18,440 --> 00:25:21,400 Speaker 1: but what about this direct thing from another person in reality? 381 00:25:21,800 --> 00:25:25,399 Speaker 1: And then this is the part where he essentially he 382 00:25:25,520 --> 00:25:31,440 Speaker 1: had too much, and he sadly bolted from the entire interview. 383 00:25:31,840 --> 00:25:34,800 Speaker 1: How come when he went to speak in different locations 384 00:25:34,880 --> 00:25:37,000 Speaker 1: nobody came to watch, But all of a sudden he 385 00:25:37,119 --> 00:25:40,760 Speaker 1: got eighty million votes. If if you're forgiving, maybe because 386 00:25:40,760 --> 00:25:42,760 Speaker 1: the election was about you, If I can just move 387 00:25:42,800 --> 00:25:46,600 Speaker 1: on to ask, are you telling Republicans in two that 388 00:25:46,680 --> 00:25:49,240 Speaker 1: they must press your case on the past election in 389 00:25:49,359 --> 00:25:52,000 Speaker 1: order to get your endorsement? Is that gonna do whatever 390 00:25:52,040 --> 00:25:54,160 Speaker 1: they want to do, whatever they have to do, They're 391 00:25:54,200 --> 00:25:56,919 Speaker 1: going to do. But the ones that are smart, the 392 00:25:56,960 --> 00:25:59,280 Speaker 1: ones that know, you take a look at again, you 393 00:25:59,359 --> 00:26:01,879 Speaker 1: take a look at how Carrie Lake is doing running 394 00:26:01,920 --> 00:26:04,879 Speaker 1: for governor. She's very big on this issue. She's leading 395 00:26:04,920 --> 00:26:07,680 Speaker 1: by a lot. People have no idea how big this 396 00:26:07,720 --> 00:26:09,639 Speaker 1: issue is. That they don't want it to happen again. 397 00:26:10,200 --> 00:26:12,320 Speaker 1: It shouldn't be allowed to happen, and they don't want 398 00:26:12,359 --> 00:26:14,400 Speaker 1: it to happen again. One of the only way it's 399 00:26:14,480 --> 00:26:17,680 Speaker 1: not going to happen again is you have to solve 400 00:26:17,880 --> 00:26:23,639 Speaker 1: the problem of the presidential rigged election. Mr President, One 401 00:26:23,640 --> 00:26:25,440 Speaker 1: more question I want to ask about a court hearing 402 00:26:25,520 --> 00:26:31,200 Speaker 1: yesterday on January six, Judge and meet Meta he's gone, okay, 403 00:26:33,359 --> 00:26:36,600 Speaker 1: so you know he's still got it. Yeah, I mean 404 00:26:36,720 --> 00:26:39,160 Speaker 1: he's still learning how to bolt at the right time, 405 00:26:39,280 --> 00:26:43,359 Speaker 1: just as like real direct questions are being asked, and yeah, 406 00:26:43,400 --> 00:26:45,760 Speaker 1: I mean, like, look, it's clear he's just this ad 407 00:26:45,760 --> 00:26:48,280 Speaker 1: old man who can't stomach the idea that he is 408 00:26:48,359 --> 00:26:51,080 Speaker 1: bullshit and every when most people know it unless they're 409 00:26:51,119 --> 00:26:54,280 Speaker 1: like a supporter or drone. And you know, the thing 410 00:26:54,320 --> 00:26:57,080 Speaker 1: he kept harping on in terms of like trying to 411 00:26:57,160 --> 00:26:59,399 Speaker 1: reinforce this idea of the fraud, which is why he 412 00:26:59,400 --> 00:27:01,320 Speaker 1: starts up being like, tell me why Biden gets eight 413 00:27:01,440 --> 00:27:05,000 Speaker 1: million votes. It's like because people eight million people don't 414 00:27:05,000 --> 00:27:09,600 Speaker 1: like you or prefer Joe Byron to you. And he 415 00:27:09,720 --> 00:27:11,800 Speaker 1: kept saying like I got the most votes for a 416 00:27:11,800 --> 00:27:16,280 Speaker 1: sitting president. Who else ever got votes? And Stevenski was like, yeah, right, 417 00:27:16,320 --> 00:27:19,439 Speaker 1: I understand you got the most votes, but you still lost. 418 00:27:19,560 --> 00:27:22,280 Speaker 1: So you know, the getting the most votes as a 419 00:27:22,320 --> 00:27:26,080 Speaker 1: sitting president isn't an election strategy or gets you to 420 00:27:26,119 --> 00:27:28,360 Speaker 1: the number of Electoral College votes you need. You need 421 00:27:28,400 --> 00:27:31,000 Speaker 1: to win fifty plus one in most states too, then 422 00:27:31,040 --> 00:27:36,639 Speaker 1: add your like whatever, Okay, so on one of only 423 00:27:36,920 --> 00:27:41,640 Speaker 1: thirty six presidents who have not died in office. So right, 424 00:27:42,359 --> 00:27:46,040 Speaker 1: so I think Joe Biden is cheating. Okay, that's what 425 00:27:46,080 --> 00:27:48,680 Speaker 1: this all blows down to. But you know, at a minimum, 426 00:27:48,840 --> 00:27:51,879 Speaker 1: I appreciate the kind of direct questioning that you know, 427 00:27:51,920 --> 00:27:54,920 Speaker 1: Steven skip was, you know, offering, just in the sense 428 00:27:54,920 --> 00:27:58,040 Speaker 1: because most people Donald Trump will come on, mostly because 429 00:27:58,040 --> 00:28:01,320 Speaker 1: he's going on Fox, are very Trump friendly networks. They 430 00:28:01,359 --> 00:28:04,160 Speaker 1: ask a question that if it was a real journalist, 431 00:28:04,240 --> 00:28:06,879 Speaker 1: you wouldn't accept the lie that they told, and they 432 00:28:06,960 --> 00:28:09,080 Speaker 1: just pivot like, Okay, thank you for that lie. We've 433 00:28:09,080 --> 00:28:12,000 Speaker 1: accepted it. Now this next talking point will accept his reality. 434 00:28:12,160 --> 00:28:15,400 Speaker 1: Please go ahead. But yeah, yeah, I mean I don't 435 00:28:15,480 --> 00:28:18,320 Speaker 1: like this isn't getting picked up anywhere really that his 436 00:28:18,440 --> 00:28:21,520 Speaker 1: viewers would be right, No, I mean they're probably if anything, 437 00:28:21,520 --> 00:28:25,800 Speaker 1: they're like, it was a hit job at NPR asking 438 00:28:25,920 --> 00:28:30,080 Speaker 1: about these congress people who are also Republicans who claimed 439 00:28:30,080 --> 00:28:33,399 Speaker 1: the election wasn't stolen. I wonder what the play was 440 00:28:33,520 --> 00:28:36,359 Speaker 1: to even go on NPR. What was the what was 441 00:28:36,400 --> 00:28:39,160 Speaker 1: the point of that? What did he think he he 442 00:28:39,200 --> 00:28:43,720 Speaker 1: would get away with? Right, Yeah, I think that's it's interesting. 443 00:28:43,800 --> 00:28:47,200 Speaker 1: It's it may be clear that you know he was 444 00:28:47,280 --> 00:28:49,920 Speaker 1: having trouble in January six right, he wanted to do 445 00:28:49,960 --> 00:28:52,840 Speaker 1: this whole live thing, and no networks would pick it 446 00:28:52,920 --> 00:28:55,200 Speaker 1: up basically, and that's why he didn't do it. So 447 00:28:55,240 --> 00:28:57,680 Speaker 1: he's like, funk this. I don't know if he just said, 448 00:28:58,040 --> 00:29:00,600 Speaker 1: they'll have me on and I can talk and you know, 449 00:29:00,720 --> 00:29:04,640 Speaker 1: be confrontational, because when the interview starts, Trump the only 450 00:29:04,680 --> 00:29:07,520 Speaker 1: thing he's thinking about is if they're live, like would 451 00:29:07,520 --> 00:29:10,840 Speaker 1: be live Steve and we uh and he's like, no, sir, 452 00:29:11,000 --> 00:29:13,040 Speaker 1: this is we're not going live. This is preticked and 453 00:29:13,080 --> 00:29:17,440 Speaker 1: he's like, okay, fine, So I don't know. When you 454 00:29:17,440 --> 00:29:19,240 Speaker 1: read his energy at the start of it, you're like, 455 00:29:19,680 --> 00:29:22,280 Speaker 1: did you just want to be on live anything? And 456 00:29:22,320 --> 00:29:25,160 Speaker 1: then they're like, I don't know. Fucking NPR would probably 457 00:29:25,200 --> 00:29:28,320 Speaker 1: do it and be like completely blown away because when 458 00:29:28,320 --> 00:29:32,480 Speaker 1: they first start off, the first questions around vaccines and 459 00:29:32,560 --> 00:29:34,640 Speaker 1: like he's like, what advice would you give to Americans 460 00:29:34,640 --> 00:29:37,840 Speaker 1: who haven't chosen to get vaccinated? That's essentially his first question. 461 00:29:38,160 --> 00:29:40,520 Speaker 1: So there's no like, hey, tell us about this rally 462 00:29:40,560 --> 00:29:43,440 Speaker 1: you have coming up, you know, like sort of PR 463 00:29:43,880 --> 00:29:45,520 Speaker 1: but yeah, I don't know. It's it's very interesting to 464 00:29:45,520 --> 00:29:49,040 Speaker 1: see him on places where you know they aren't maggot out. 465 00:29:49,240 --> 00:29:51,560 Speaker 1: I'm told the the are we Live thing was more 466 00:29:51,560 --> 00:29:59,000 Speaker 1: about he wanted to boba Billy the interview at the end. Yeah, 467 00:29:59,160 --> 00:30:02,840 Speaker 1: I mean so well, one thing that I'm just I'm 468 00:30:02,880 --> 00:30:09,080 Speaker 1: seeing in there's a CNN article and uh Washington or 469 00:30:09,520 --> 00:30:14,560 Speaker 1: Wall Street Journal article Hillary the case for a Comeback 470 00:30:15,360 --> 00:30:20,520 Speaker 1: it's happening. So that's sounds like a murder mystery, the 471 00:30:20,600 --> 00:30:23,600 Speaker 1: Case for the Comeback. Yeah, I mean it would be 472 00:30:23,720 --> 00:30:29,400 Speaker 1: essentially what a terrible idea? Yeah, I think people are 473 00:30:29,440 --> 00:30:33,120 Speaker 1: looking at the fact that Biden sinks to Biden's approval 474 00:30:33,440 --> 00:30:35,920 Speaker 1: is now at like an all time low. It's a 475 00:30:36,120 --> 00:30:40,280 Speaker 1: thirty I think, and they're trying to figure out, like, 476 00:30:40,320 --> 00:30:43,120 Speaker 1: who could we run that would be even less popular 477 00:30:43,680 --> 00:30:48,320 Speaker 1: than Biden in this election. Well, I think because all 478 00:30:48,360 --> 00:30:52,400 Speaker 1: of this strategizing is it has to ignore the basic 479 00:30:52,480 --> 00:30:55,880 Speaker 1: fact that all these systems that we exist inside of 480 00:30:55,920 --> 00:30:59,640 Speaker 1: within the US are failing at every turn. So it's 481 00:30:59,640 --> 00:31:02,480 Speaker 1: not that Joe Biden's on popular. I mean, like, yeah, 482 00:31:02,560 --> 00:31:04,760 Speaker 1: he is, but he's doing funk all to actually address 483 00:31:04,880 --> 00:31:07,720 Speaker 1: like what it like ails the country very in a 484 00:31:07,840 --> 00:31:10,080 Speaker 1: very tangible way. And they're just trying to act like 485 00:31:10,520 --> 00:31:14,040 Speaker 1: maybe we need Hiller, Like no, maybe you need to 486 00:31:14,080 --> 00:31:16,800 Speaker 1: pay people to stay home. Maybe you need a relief 487 00:31:17,080 --> 00:31:20,120 Speaker 1: and we need student debt relief. Maybe we need healthcare. 488 00:31:20,200 --> 00:31:24,280 Speaker 1: Maybe we need actionable results or you know, policies on 489 00:31:24,360 --> 00:31:28,920 Speaker 1: climate change. But yeah, it's yeah, bringing bring Hillary back, 490 00:31:29,080 --> 00:31:31,640 Speaker 1: because already it sounds like there's a riff between Trump 491 00:31:31,640 --> 00:31:34,960 Speaker 1: and Rhonda Santis. Later on Wednesday, he said some ship 492 00:31:35,040 --> 00:31:36,600 Speaker 1: he went on O A N. It was like talking 493 00:31:36,600 --> 00:31:38,880 Speaker 1: about like, you know, Rhonda Santis was asked if he 494 00:31:38,920 --> 00:31:41,480 Speaker 1: was recently like boosted, and he's like, I don't I 495 00:31:41,560 --> 00:31:43,520 Speaker 1: have the regular thing. I don't feel like I need 496 00:31:43,520 --> 00:31:46,120 Speaker 1: to really disclose, blah blah blah. And then Trump was 497 00:31:46,160 --> 00:31:48,280 Speaker 1: like your gutlass. He's like, if you didn't, if you 498 00:31:48,320 --> 00:31:51,200 Speaker 1: had the boost or not. He's just say it so people, 499 00:31:51,240 --> 00:31:54,400 Speaker 1: some politicians are gutless. So he's already coming at Rhonda 500 00:31:54,520 --> 00:31:58,920 Speaker 1: Santis and he's gone after Brian Kemp. It's I don't know, like, 501 00:31:59,320 --> 00:32:02,600 Speaker 1: you know what looks like if you find a Republican 502 00:32:02,640 --> 00:32:04,800 Speaker 1: who's like, I bet I can take the Maga throne 503 00:32:04,840 --> 00:32:06,800 Speaker 1: from Trump and see if I can go head to 504 00:32:06,840 --> 00:32:09,200 Speaker 1: head because I'm feeling myself. Yeah, as long as he's 505 00:32:09,240 --> 00:32:12,280 Speaker 1: still alive, they'll fail. Like, I mean, he's He's the 506 00:32:12,480 --> 00:32:15,880 Speaker 1: entire party at this point. Nobody's gonna succeed in doing that. 507 00:32:16,200 --> 00:32:22,040 Speaker 1: I don't love to see Hillary versus Nugent, Hillary versus Nugent. Yeah, 508 00:32:22,120 --> 00:32:24,080 Speaker 1: I mean, what if it was Clinton Nugent on a 509 00:32:24,120 --> 00:32:28,040 Speaker 1: ticket just to really confuse people, be like fun, Man, 510 00:32:28,120 --> 00:32:31,600 Speaker 1: I think Ted will balance her out. I think that's 511 00:32:31,600 --> 00:32:35,320 Speaker 1: a I have to think about that. The interview, the 512 00:32:35,440 --> 00:32:40,560 Speaker 1: NPR interview did remind me how much he is exactly, 513 00:32:40,680 --> 00:32:43,600 Speaker 1: Like all all the impressions just gave me a new 514 00:32:43,600 --> 00:32:46,240 Speaker 1: appreciation for like, oh, this could be that guy from 515 00:32:46,280 --> 00:32:49,320 Speaker 1: SNL who does a Trump impression like that. He is 516 00:32:49,960 --> 00:32:54,640 Speaker 1: an actual cartoon of himself that's truly just hits, all 517 00:32:54,640 --> 00:32:57,840 Speaker 1: the hits, all the notes. It's so stream of consciousness. 518 00:32:58,120 --> 00:33:03,560 Speaker 1: Sometimes I'm like, is he a grounding? Like he's Dell Close. 519 00:33:04,720 --> 00:33:08,880 Speaker 1: It's really he is what we thought he was. Yeah, 520 00:33:09,040 --> 00:33:10,800 Speaker 1: and yeah, we call that Trump jazz, you know what 521 00:33:10,880 --> 00:33:13,680 Speaker 1: I mean. He just goes off off prompter and he's 522 00:33:13,720 --> 00:33:17,440 Speaker 1: like watch this solo. I guess there was a part 523 00:33:17,440 --> 00:33:18,960 Speaker 1: of me that was like a little worried he was 524 00:33:19,000 --> 00:33:22,080 Speaker 1: like going to comeback with like a tighter, like a 525 00:33:22,160 --> 00:33:26,560 Speaker 1: honed like messaging and presentation. And you know, I was 526 00:33:26,560 --> 00:33:30,360 Speaker 1: going to start reading those Hitler speech books that were 527 00:33:30,400 --> 00:33:34,080 Speaker 1: that he kept by his bedside for for years. It 528 00:33:34,120 --> 00:33:36,360 Speaker 1: was the only book in his bedroom. Not a red 529 00:33:36,400 --> 00:33:38,840 Speaker 1: flag at all. But it seems like he's still just 530 00:33:39,040 --> 00:33:41,480 Speaker 1: he's got one speed and it works well for him. 531 00:33:41,640 --> 00:33:44,200 Speaker 1: But yeah, because I mean, yeah, some of his answers 532 00:33:44,240 --> 00:33:47,200 Speaker 1: to someone like when question Stevens keeps outs like why 533 00:33:47,280 --> 00:33:48,920 Speaker 1: is it that you think the vast majority of your 534 00:33:48,960 --> 00:33:51,440 Speaker 1: allies in the U. S. Senate are not standing behind you, 535 00:33:51,600 --> 00:33:55,880 Speaker 1: Miss McConnell. Yeah, because ms mcmon because Ms McConnell's a loser. 536 00:33:56,800 --> 00:33:59,560 Speaker 1: That's literally his answer was it could have that fucking 537 00:33:59,600 --> 00:34:04,160 Speaker 1: sound word like a big stupid dummy head. Yea, who 538 00:34:04,240 --> 00:34:07,959 Speaker 1: is your daddy and what does he do? Yeah? Alright, 539 00:34:08,080 --> 00:34:12,200 Speaker 1: let's talk about Prince Andrew real quick. A Manhattan judge 540 00:34:12,560 --> 00:34:16,240 Speaker 1: has announced that or has refused to dismiss a case 541 00:34:16,360 --> 00:34:21,440 Speaker 1: against him from Virginia Giuffrey. So I mean this is 542 00:34:21,640 --> 00:34:25,160 Speaker 1: we already saw how he held up in a carefully 543 00:34:25,360 --> 00:34:27,840 Speaker 1: choreographed interview where he was able to like bring in 544 00:34:27,920 --> 00:34:30,919 Speaker 1: notes and prepare and knew the questions heading in because 545 00:34:30,920 --> 00:34:33,399 Speaker 1: there was only like one real question that was going 546 00:34:33,440 --> 00:34:42,400 Speaker 1: to be asked in that case scarves like scarves drifting 547 00:34:42,480 --> 00:34:44,759 Speaker 1: down before to just be crushed out of the park. 548 00:34:44,800 --> 00:34:49,200 Speaker 1: And still was like, yeah, he stammered through an excuse 549 00:34:49,360 --> 00:34:53,760 Speaker 1: about sweat, like his inability to sweat while he appeared 550 00:34:53,760 --> 00:34:57,960 Speaker 1: to be sweating, And yeah, I mean he is probably 551 00:34:59,120 --> 00:35:04,759 Speaker 1: like the person who has encountered the least like actual 552 00:35:06,080 --> 00:35:10,120 Speaker 1: human interactions in the history or one of the probably 553 00:35:10,120 --> 00:35:13,480 Speaker 1: top five like living humans who like from the age 554 00:35:13,600 --> 00:35:18,279 Speaker 1: zero on to this point, has never encountered somebody who 555 00:35:18,360 --> 00:35:21,319 Speaker 1: was like telling him the truth, you know, like they 556 00:35:21,320 --> 00:35:23,319 Speaker 1: were always just telling him what they thought he wanted 557 00:35:23,320 --> 00:35:25,840 Speaker 1: to do. Here, like he could he could be a 558 00:35:25,880 --> 00:35:30,040 Speaker 1: psychological experiment. And the idea of that being put on 559 00:35:30,040 --> 00:35:34,560 Speaker 1: a trial, yeah, like literally, like he's basically the Truman Show. 560 00:35:35,200 --> 00:35:37,520 Speaker 1: The fact that that then he would be put on 561 00:35:37,560 --> 00:35:40,880 Speaker 1: trial and like asked questions that have the weight of law. 562 00:35:41,760 --> 00:35:44,319 Speaker 1: Is I think a lot of people are rooting for it, 563 00:35:44,880 --> 00:35:49,160 Speaker 1: and obviously like if you want justice, this is a child, 564 00:35:49,840 --> 00:35:54,480 Speaker 1: he's sexually assaulted, So yeah, it's the old that would 565 00:35:54,480 --> 00:35:58,200 Speaker 1: be an interesting case to see how that all plays out. Yeah, 566 00:35:58,239 --> 00:36:00,720 Speaker 1: like to your point, like yeah, it's being a child 567 00:36:00,800 --> 00:36:03,719 Speaker 1: star or something where it's like, yeah, man, you're kind 568 00:36:03,719 --> 00:36:06,399 Speaker 1: of gonna you're gonna live in a bizarre reality as 569 00:36:06,440 --> 00:36:08,239 Speaker 1: being part of the monarchy, Like you're not gonna have 570 00:36:08,360 --> 00:36:10,600 Speaker 1: people been like yo, Andrew man, you full of ship man. 571 00:36:10,600 --> 00:36:12,600 Speaker 1: Why don't you pipe down really quick? Man? Just get 572 00:36:12,640 --> 00:36:15,040 Speaker 1: yourself adults you're talking here. It would be like, yes, 573 00:36:15,120 --> 00:36:18,399 Speaker 1: your highness, Like I can't imagine you're built to then 574 00:36:18,960 --> 00:36:23,360 Speaker 1: face criminal charges and you know, somehow find yourself in 575 00:36:23,400 --> 00:36:25,680 Speaker 1: an environment where you have to stand to account for 576 00:36:25,680 --> 00:36:29,800 Speaker 1: your actions. Wasn't there something about like he didn't think 577 00:36:29,840 --> 00:36:34,880 Speaker 1: he could get he should be on trial because his 578 00:36:35,040 --> 00:36:39,759 Speaker 1: transgressions were included in a deal with Epstein. That's right 579 00:36:40,320 --> 00:36:43,440 Speaker 1: where he was like where that was going down, and 580 00:36:43,440 --> 00:36:45,560 Speaker 1: he was like, hey, hey, hey put me in there too. 581 00:36:46,680 --> 00:36:49,680 Speaker 1: So that was that was that pretty good admission of guilt. 582 00:36:49,920 --> 00:36:52,480 Speaker 1: I just be like, hey, I did it, but it 583 00:36:52,520 --> 00:36:56,040 Speaker 1: was already handled. I thought, right, wait what that? So 584 00:36:56,120 --> 00:37:02,160 Speaker 1: that was the case where Epstein like pled guilty but 585 00:37:02,280 --> 00:37:05,279 Speaker 1: like did a deal with somebody who I think worked 586 00:37:05,320 --> 00:37:09,719 Speaker 1: in both Obama and Trump administrations two basically do a 587 00:37:09,719 --> 00:37:14,319 Speaker 1: deal that was like, Okay, i'll do ten months community service, Yeah, 588 00:37:14,320 --> 00:37:18,319 Speaker 1: Alexander Hasten, I'll do ten months community service and like 589 00:37:18,640 --> 00:37:22,160 Speaker 1: stay at this nice resort that's supposedly a prison. But 590 00:37:22,440 --> 00:37:26,759 Speaker 1: you can't be mean to anybody who I know, was 591 00:37:26,840 --> 00:37:30,520 Speaker 1: essentially the deal, right. Yeah, so it's and I guess 592 00:37:30,560 --> 00:37:34,000 Speaker 1: the judges like that doesn't seem to hold up anymore. 593 00:37:34,440 --> 00:37:37,440 Speaker 1: I'm sorry for him. Yeah, what mechanically, how do you 594 00:37:37,480 --> 00:37:40,560 Speaker 1: do that? Legally? I'm just understanding you can't be mean 595 00:37:40,600 --> 00:37:44,359 Speaker 1: to anyone. And then that's why it was like I 596 00:37:44,400 --> 00:37:49,960 Speaker 1: showed poor judgment in that case. That's that's a euphemism 597 00:37:49,960 --> 00:37:53,239 Speaker 1: if I've heard one. Yeah, anyways, let's take a quick 598 00:37:53,280 --> 00:38:06,240 Speaker 1: break and we'll be right back. Yeah, and we're back. 599 00:38:06,960 --> 00:38:10,120 Speaker 1: And Miles, I know you're huge in the n f 600 00:38:10,160 --> 00:38:13,600 Speaker 1: T world. You're always you know, I bought one, took 601 00:38:13,640 --> 00:38:17,520 Speaker 1: an l Did you really about thirty n f T 602 00:38:17,719 --> 00:38:20,319 Speaker 1: like way back and like this it is like it's 603 00:38:20,360 --> 00:38:22,239 Speaker 1: like worth this and it's not doing it And I'm like, ah, 604 00:38:22,360 --> 00:38:27,640 Speaker 1: that's why about us? Yeah? Well, was it didn't have 605 00:38:27,680 --> 00:38:30,680 Speaker 1: any like anything cool about it? Was it a drawing 606 00:38:30,719 --> 00:38:36,680 Speaker 1: of any type. It's the frog, but with jist body exactly. 607 00:38:37,239 --> 00:38:39,000 Speaker 1: I don't think I wouldn't know that. I don't think 608 00:38:39,000 --> 00:38:41,640 Speaker 1: i'd be able to tell the difference. Oh you would 609 00:38:42,480 --> 00:38:46,360 Speaker 1: just a hype thing. Really, once you see a gunn body, 610 00:38:46,440 --> 00:38:48,879 Speaker 1: you can't unsee it. I'll tell you that. But yeah, 611 00:38:48,920 --> 00:38:52,160 Speaker 1: I mean I dabbled, but was just I don't know 612 00:38:52,160 --> 00:38:55,080 Speaker 1: what the funk I'm doing. And also I don't have 613 00:38:55,120 --> 00:38:57,719 Speaker 1: the bandwidth to get super versed in like what a 614 00:38:57,719 --> 00:39:00,400 Speaker 1: good n F T could be. But you're also our 615 00:39:00,520 --> 00:39:04,760 Speaker 1: expert on like private restaurants and like eating eating clubs, 616 00:39:04,800 --> 00:39:08,360 Speaker 1: dining clubs, So you like the Soho house would be 617 00:39:08,440 --> 00:39:11,000 Speaker 1: cool if it was more exclusive. I think you always 618 00:39:11,000 --> 00:39:15,879 Speaker 1: said crypto based. Can imagine crypto based SOHO house? Can 619 00:39:15,920 --> 00:39:19,720 Speaker 1: you imagine a place you'd want to be more elbow 620 00:39:19,800 --> 00:39:23,919 Speaker 1: to elbow with like minded fucking lizard people. I don't 621 00:39:23,920 --> 00:39:26,759 Speaker 1: know what the feeling allot of interlacing your fingers from 622 00:39:26,760 --> 00:39:31,319 Speaker 1: both hands while biting your bottom lip. Synergy and then 623 00:39:31,360 --> 00:39:34,640 Speaker 1: you're saying the word synergy and walking out of the room. Yeah, 624 00:39:34,880 --> 00:39:37,399 Speaker 1: like that's kind of your beat. Hey man, take my pen. 625 00:39:37,520 --> 00:39:39,560 Speaker 1: It's a mom blanc, you know, you can have it 626 00:39:39,960 --> 00:39:43,400 Speaker 1: and then you wow, thanks tech guy. But yes, n 627 00:39:43,440 --> 00:39:46,239 Speaker 1: f T restaurant is the thing. And again, what kind 628 00:39:46,280 --> 00:39:48,960 Speaker 1: of just for y'all, what kind of images are conjured 629 00:39:49,000 --> 00:39:51,320 Speaker 1: in your heads when you hear n f T restaurant. 630 00:39:51,360 --> 00:39:53,640 Speaker 1: I'm curious, I'm just hearing that. What that does to 631 00:39:53,680 --> 00:39:59,520 Speaker 1: your mind? Uh? Themed? N f T themed? So yeah, 632 00:39:59,640 --> 00:40:04,240 Speaker 1: but like Pete with chard Yard's body on the walls 633 00:40:04,320 --> 00:40:07,880 Speaker 1: and like, stop trying to make your pepe jarren f happened? 634 00:40:08,280 --> 00:40:12,280 Speaker 1: Do you want? Do you want beef or non fungible tofu? 635 00:40:12,440 --> 00:40:15,800 Speaker 1: Like that's sort of all the items, all the items 636 00:40:15,800 --> 00:40:18,920 Speaker 1: are and beef. It's like beef with a crypto bro, 637 00:40:19,160 --> 00:40:22,640 Speaker 1: you know you want beef, Homie, we're talking about decentralized 638 00:40:22,680 --> 00:40:25,239 Speaker 1: movement is sucking falling off the tracks? You're talking about 639 00:40:25,480 --> 00:40:29,279 Speaker 1: to Planet Hollywood with with just but for the n 640 00:40:29,400 --> 00:40:33,759 Speaker 1: f T like moment the year that I just see 641 00:40:33,800 --> 00:40:36,400 Speaker 1: like a bunch of Elon musk musk wanna bees up 642 00:40:36,400 --> 00:40:39,840 Speaker 1: in there, Like I bet every single person thinks Elon 643 00:40:40,000 --> 00:40:43,560 Speaker 1: is this ship in restaurant like that, maybe they make 644 00:40:43,880 --> 00:40:48,239 Speaker 1: like like a burger, okay, but then they never make 645 00:40:48,320 --> 00:40:53,160 Speaker 1: that burger again. For anyone else. I mean that is 646 00:40:53,520 --> 00:40:54,719 Speaker 1: so you're like, can I have a burger? Like, no, 647 00:40:54,880 --> 00:40:56,759 Speaker 1: man did that three weeks ago for a guy, So 648 00:40:57,000 --> 00:41:03,320 Speaker 1: pick something else, man burger with ketchup. It's like nothing. 649 00:41:03,360 --> 00:41:06,359 Speaker 1: You're like, well, what dishes have not been made? It's 650 00:41:06,400 --> 00:41:08,919 Speaker 1: like you gotta do your research for it. Come in here, man, 651 00:41:08,800 --> 00:41:11,400 Speaker 1: I've got a lot of tables. I gotta go nothing. 652 00:41:11,400 --> 00:41:15,799 Speaker 1: This last guy just took fruitcake. Yeah. No. When you 653 00:41:15,840 --> 00:41:17,960 Speaker 1: ask me what n f T restaurant makes me think 654 00:41:17,960 --> 00:41:21,240 Speaker 1: of it, my true answer is it makes my brain 655 00:41:21,320 --> 00:41:24,560 Speaker 1: shut down. And like going to a fetal possession position 656 00:41:24,840 --> 00:41:31,279 Speaker 1: or possession by a fetus feed. I got busted for 657 00:41:31,400 --> 00:41:38,160 Speaker 1: fetal possession for a friend time. Yeah, I like more 658 00:41:38,200 --> 00:41:43,000 Speaker 1: religious possession, demonic possession by the demon fetus. But all 659 00:41:43,000 --> 00:41:45,200 Speaker 1: that to say is this place is real and I 660 00:41:45,280 --> 00:41:49,040 Speaker 1: picture like so much like nouveaux reiche bullshit, like where 661 00:41:49,200 --> 00:41:52,320 Speaker 1: like the RAB Report is their bible, like those kinds 662 00:41:52,320 --> 00:41:54,520 Speaker 1: of people. For people to know the RAB Report, it's 663 00:41:54,560 --> 00:41:57,919 Speaker 1: like the rich people like hottest ship you can buy 664 00:41:57,960 --> 00:41:59,880 Speaker 1: magazine basically, so if you ever need to be like, 665 00:42:00,200 --> 00:42:03,040 Speaker 1: these are the things poor people could never afford. Welcome 666 00:42:03,080 --> 00:42:06,719 Speaker 1: to the rob report like sky Mall. Come on, come on, man, 667 00:42:06,880 --> 00:42:09,799 Speaker 1: we're not We're not. It's not that fancy. Just in 668 00:42:09,840 --> 00:42:12,640 Speaker 1: between yeah, it's just in between sky Mall and the 669 00:42:12,719 --> 00:42:16,960 Speaker 1: hummack Er schlimmer Cata. But this place is you say, 670 00:42:16,960 --> 00:42:19,040 Speaker 1: what the fund is an FT restaurant. Well, it's something 671 00:42:19,080 --> 00:42:20,719 Speaker 1: that is actually coming to New York City in the 672 00:42:20,760 --> 00:42:23,040 Speaker 1: first half of the next year. And it's called the 673 00:42:23,040 --> 00:42:27,279 Speaker 1: fly Fish Club. See it already sounds fucking horrible and 674 00:42:27,440 --> 00:42:29,759 Speaker 1: it's like, so how house. But the way you get 675 00:42:29,800 --> 00:42:33,120 Speaker 1: a membership is by purchasing an n f T. That 676 00:42:33,320 --> 00:42:36,560 Speaker 1: is your membership. That's how you enter. So you say, like, 677 00:42:36,600 --> 00:42:39,359 Speaker 1: what the wait, what okay, find your person in FT? 678 00:42:39,480 --> 00:42:42,160 Speaker 1: But what's the club actually? Like? This is this is 679 00:42:42,160 --> 00:42:44,520 Speaker 1: from this article on grub Street from the New York 680 00:42:44,880 --> 00:42:48,000 Speaker 1: I Think New York magazine, saying that it's gonna have 681 00:42:48,040 --> 00:42:52,280 Speaker 1: quote a cocktail lounge and upscale seafood restaurant and ohmakase 682 00:42:52,640 --> 00:42:56,640 Speaker 1: room reserved for top tier members only, and and and 683 00:42:56,800 --> 00:42:59,799 Speaker 1: outdoor space spanning more than ten tho square feet quote 684 00:42:59,800 --> 00:43:02,960 Speaker 1: in iconic New York City location. And the article goes 685 00:43:03,000 --> 00:43:05,440 Speaker 1: on to say, although that exact location has not yet 686 00:43:05,480 --> 00:43:10,560 Speaker 1: been announced. Okay, right, so what does it take to 687 00:43:10,560 --> 00:43:12,160 Speaker 1: get in? You buy one of these n f T s. 688 00:43:12,239 --> 00:43:15,439 Speaker 1: Last Friday they dropped fifty tokens that you could buy 689 00:43:15,480 --> 00:43:17,720 Speaker 1: as your membership, and they're gone, Like they were pretty 690 00:43:17,760 --> 00:43:20,879 Speaker 1: much bought up pretty quickly. The standard membership, which gets 691 00:43:20,920 --> 00:43:24,560 Speaker 1: you like into the lounge and the seafood restaurant, was 692 00:43:24,600 --> 00:43:26,600 Speaker 1: going for like two and a half ethereum, so about 693 00:43:26,600 --> 00:43:29,120 Speaker 1: like almost eight thousand dollars. And if you want the 694 00:43:29,400 --> 00:43:32,920 Speaker 1: oh maak, say you want the fucking the baller version, 695 00:43:33,400 --> 00:43:36,719 Speaker 1: you had to pay close to fourteen thousand dollars for 696 00:43:36,800 --> 00:43:39,800 Speaker 1: one of those tokens. And the way they're also presenting 697 00:43:39,800 --> 00:43:41,600 Speaker 1: it to people who buy the tokens is like it's 698 00:43:41,640 --> 00:43:44,759 Speaker 1: a passive income opportunity man, because you'll be able to 699 00:43:44,840 --> 00:43:47,799 Speaker 1: lease your membership to some other hype beast who wants 700 00:43:47,840 --> 00:43:49,640 Speaker 1: to get up in there. And now you can make 701 00:43:49,640 --> 00:43:52,759 Speaker 1: a little scratch because they're using your like they're like 702 00:43:52,960 --> 00:43:58,360 Speaker 1: subleasing your n f T to get access to this restaurant. Yeah, 703 00:43:58,680 --> 00:44:02,279 Speaker 1: this is a take I I can admit, but and 704 00:44:03,239 --> 00:44:05,719 Speaker 1: that's a bit that's a bit much a membership to 705 00:44:05,840 --> 00:44:11,880 Speaker 1: a restaurants not great. But if there's any use for 706 00:44:12,000 --> 00:44:17,520 Speaker 1: an n f T. A membership card is sort of 707 00:44:17,560 --> 00:44:22,120 Speaker 1: a bad like way, like, oh, I get it, like 708 00:44:22,160 --> 00:44:27,600 Speaker 1: a unique a unique picture that can only be authenticated 709 00:44:28,120 --> 00:44:32,920 Speaker 1: by the owner, and you use that to get into 710 00:44:32,960 --> 00:44:36,560 Speaker 1: things or like your gym membership or I don't know, 711 00:44:36,800 --> 00:44:41,360 Speaker 1: plane tickets or something. I could say, I could see 712 00:44:41,680 --> 00:44:45,640 Speaker 1: that working instead of, you know, just betting on them 713 00:44:45,719 --> 00:44:48,760 Speaker 1: that they'll go up in price, but as an actual, 714 00:44:48,880 --> 00:44:55,520 Speaker 1: like useful thing to confirm one's identity, not bad. This 715 00:44:55,560 --> 00:44:58,640 Speaker 1: is well, this is your your identity will be confirmed 716 00:44:58,680 --> 00:45:02,359 Speaker 1: as baller because already if you want one of these 717 00:45:02,360 --> 00:45:04,840 Speaker 1: membership tokens, you have to go to the secondary market 718 00:45:05,080 --> 00:45:09,280 Speaker 1: where they're now over eleven thousand dollars for the regular membership. 719 00:45:09,800 --> 00:45:12,600 Speaker 1: And so I guess like you could ride the wait 720 00:45:12,719 --> 00:45:15,800 Speaker 1: like Ethereum market and like by the dip and maybe 721 00:45:15,800 --> 00:45:19,120 Speaker 1: get like a membership on the cheap. But it's it 722 00:45:19,120 --> 00:45:22,040 Speaker 1: seems like this whole model is like just bait for 723 00:45:22,120 --> 00:45:25,600 Speaker 1: like the thirstiest of the thirsty and the cloud chasing 724 00:45:25,680 --> 00:45:30,120 Speaker 1: champions of our world. I think this is this reminds 725 00:45:30,200 --> 00:45:34,399 Speaker 1: me of that that story about Ashley Madison where it's 726 00:45:34,440 --> 00:45:37,520 Speaker 1: like a dating website where you can cheap. But then 727 00:45:37,600 --> 00:45:40,680 Speaker 1: like behind the scenes, they're like, yeah, it's nine dudes 728 00:45:40,800 --> 00:45:43,560 Speaker 1: talking to each other and talking about I feel like 729 00:45:44,200 --> 00:45:45,920 Speaker 1: they're going to have this out there. It's going to 730 00:45:45,960 --> 00:45:49,279 Speaker 1: be very popular until it's actually a real thing, and 731 00:45:49,320 --> 00:45:51,880 Speaker 1: then they're going to realize that it's all like wealthy 732 00:45:52,000 --> 00:45:57,520 Speaker 1: tech dudes and that's going to be it. I think, Yeah, 733 00:45:57,600 --> 00:45:59,640 Speaker 1: there's like a level to it that I can already see, 734 00:45:59,640 --> 00:46:02,279 Speaker 1: Like this oho house right, it's like I mean like 735 00:46:02,440 --> 00:46:04,800 Speaker 1: you have to be vetted to get up in here, 736 00:46:05,080 --> 00:46:07,439 Speaker 1: you know, like we don't just let anybody whereas this. 737 00:46:08,000 --> 00:46:11,520 Speaker 1: I think the real bougie people will thumb their nose 738 00:46:11,560 --> 00:46:13,480 Speaker 1: that the thing is like, okay, so you paid a 739 00:46:13,480 --> 00:46:17,360 Speaker 1: lot in ethereum to get into this like mediocre restaurant, 740 00:46:18,040 --> 00:46:20,880 Speaker 1: Please get out of my way. But yeah, it's I 741 00:46:20,880 --> 00:46:22,840 Speaker 1: think we're all just seeing all these different ways that 742 00:46:22,920 --> 00:46:25,000 Speaker 1: I'm sure for the restaurant too, that's a way to 743 00:46:25,080 --> 00:46:27,759 Speaker 1: raise a round of funding by being like here's an 744 00:46:27,840 --> 00:46:29,759 Speaker 1: n f T you gotta buy for our restaurant that's 745 00:46:29,800 --> 00:46:32,799 Speaker 1: coming on like an over a year from now, And 746 00:46:32,800 --> 00:46:34,920 Speaker 1: I'm sure they're taking those funds trying to figure out 747 00:46:34,960 --> 00:46:37,880 Speaker 1: how they keep fucking put that towards the restaurant. I 748 00:46:37,880 --> 00:46:40,560 Speaker 1: don't know. It's just a very confusing business model. And 749 00:46:40,640 --> 00:46:44,319 Speaker 1: I don't like membership restaurants because the food usually isn't 750 00:46:44,360 --> 00:46:48,399 Speaker 1: that great. Yeah, all I'm saying is I would buy 751 00:46:48,480 --> 00:46:53,160 Speaker 1: an n f T to get into Magic Castle instead 752 00:46:53,200 --> 00:46:57,439 Speaker 1: of having to ask a nerdy friend. Right right, that's 753 00:46:57,440 --> 00:46:59,600 Speaker 1: a good that's a good example. Also, like n f 754 00:46:59,640 --> 00:47:03,880 Speaker 1: T S A is just like social Security cards like that, 755 00:47:04,200 --> 00:47:07,279 Speaker 1: just things like that where it's like you want a 756 00:47:08,040 --> 00:47:11,800 Speaker 1: you need a card or like something to identify with. 757 00:47:11,960 --> 00:47:16,520 Speaker 1: That is like singular as opposed to this shitty restaurant 758 00:47:16,560 --> 00:47:18,600 Speaker 1: that is going to be only people who are really 759 00:47:18,640 --> 00:47:21,759 Speaker 1: into n f T S. But people, it's not just that, Jack, 760 00:47:21,760 --> 00:47:23,440 Speaker 1: You're missing the point. It's kind of a lounge at 761 00:47:23,480 --> 00:47:28,319 Speaker 1: cocktail bar, you know. Oh, makase, that's like the most 762 00:47:28,360 --> 00:47:31,520 Speaker 1: bothered way to eat sushi, which is like I love 763 00:47:31,560 --> 00:47:34,240 Speaker 1: how that word has completely taken over like restaurant culture 764 00:47:34,239 --> 00:47:36,520 Speaker 1: because now like everywhere it's like this is like an 765 00:47:36,520 --> 00:47:41,560 Speaker 1: omakase like empanada restaurant. Wait, what does mean is that 766 00:47:41,600 --> 00:47:46,480 Speaker 1: where you eat it off the body? Like like it 767 00:47:46,520 --> 00:47:48,840 Speaker 1: means like I'm deferring to you. Like so when you 768 00:47:48,680 --> 00:47:52,399 Speaker 1: have sushi restaurant, and that means that like you're saying 769 00:47:52,440 --> 00:47:56,560 Speaker 1: to the sushi, I'm surrendering to your taste. Please take 770 00:47:56,600 --> 00:47:59,040 Speaker 1: me on this journey as I trust you the person 771 00:47:59,080 --> 00:48:04,000 Speaker 1: who's the mass chef. Y like those restaurants, Like those 772 00:48:04,040 --> 00:48:07,920 Speaker 1: restaurants where they insult you to your face and you 773 00:48:08,040 --> 00:48:11,719 Speaker 1: order a milkshake and they give you coffee and you're 774 00:48:11,760 --> 00:48:17,360 Speaker 1: like right and they're like shut up. You know those restaurants. 775 00:48:18,200 --> 00:48:20,080 Speaker 1: Isn't there like one that's like a hot dog place? 776 00:48:20,160 --> 00:48:21,960 Speaker 1: I feel like back on the Food Channel, there's like 777 00:48:22,000 --> 00:48:24,040 Speaker 1: some place in like Chicago or something where like the 778 00:48:24,600 --> 00:48:26,200 Speaker 1: you just knew like when you went in there, the 779 00:48:26,239 --> 00:48:29,160 Speaker 1: people talk straight ship to you when you were but 780 00:48:29,239 --> 00:48:32,759 Speaker 1: that was kind of like the that's the thing about it. Yeah, right, 781 00:48:33,640 --> 00:48:36,160 Speaker 1: there's a there's a place in l A called Sushi 782 00:48:36,200 --> 00:48:39,400 Speaker 1: Park where they just feed you until you're like until 783 00:48:39,480 --> 00:48:42,239 Speaker 1: you say done. They just feed you sushi and it's 784 00:48:42,400 --> 00:48:46,279 Speaker 1: really good, really expensive, but it's worth worth truck. Does it? 785 00:48:46,440 --> 00:48:51,280 Speaker 1: Does the Weener Circle? That's what it's called the Weener Circle? Yeah, 786 00:48:51,360 --> 00:48:56,000 Speaker 1: in Chicago. In Chicago, Oh like Winner Circle, Yeah, exactly 787 00:48:56,719 --> 00:48:59,520 Speaker 1: I thought it was a weird episs for something else. 788 00:49:00,360 --> 00:49:02,880 Speaker 1: It's known for its Maxwell street polish blah blah blah 789 00:49:02,880 --> 00:49:05,719 Speaker 1: and the mutual verbal abuse between the employees and the 790 00:49:05,760 --> 00:49:08,319 Speaker 1: customers during the late weekend hours. So like, yeah, when 791 00:49:08,320 --> 00:49:12,759 Speaker 1: we go later and I think the funk you want, 792 00:49:13,160 --> 00:49:15,520 Speaker 1: yeah yeah, but the I think the mouths on the 793 00:49:15,520 --> 00:49:17,680 Speaker 1: people that work there are way spicy. When you guys 794 00:49:17,680 --> 00:49:19,840 Speaker 1: go have a circle jerk about n f T s 795 00:49:19,960 --> 00:49:25,600 Speaker 1: or a weener circle if you will. But do people 796 00:49:25,600 --> 00:49:30,080 Speaker 1: know what's Soho houses who aren't from Yeah, that's our 797 00:49:30,160 --> 00:49:34,200 Speaker 1: coastal bias. Yeah, it's a very pretentious membership club. Jack, 798 00:49:34,200 --> 00:49:36,000 Speaker 1: didn't you work at a Soho house? I was a 799 00:49:36,040 --> 00:49:37,880 Speaker 1: pool boy my first job out of college. I was 800 00:49:37,880 --> 00:49:41,040 Speaker 1: a poolboy at a Soho house because my sister's roommate 801 00:49:41,120 --> 00:49:44,080 Speaker 1: worked the front desk. That's Soho house and she got 802 00:49:44,160 --> 00:49:48,640 Speaker 1: me an inn. Yeah and yeah. So And the my 803 00:49:48,760 --> 00:49:55,279 Speaker 1: recollection of the like membership process was that it was 804 00:49:55,719 --> 00:50:02,160 Speaker 1: like the applications were like stockbrokers and people businessmen who 805 00:50:02,200 --> 00:50:05,719 Speaker 1: they would turn down because the whole point was that, no, 806 00:50:05,920 --> 00:50:08,600 Speaker 1: we're protecting you from those type of people who we 807 00:50:08,640 --> 00:50:13,279 Speaker 1: want creatives, right, who got rich just by going to 808 00:50:13,400 --> 00:50:17,960 Speaker 1: Wharton or whatever. Anyways, but that sounds like the episode 809 00:50:18,000 --> 00:50:22,600 Speaker 1: of that Fuck Wharton, fuck you losers, I know, but 810 00:50:22,680 --> 00:50:26,719 Speaker 1: seriously rubbed their feet at the pool pool? Boy, what 811 00:50:26,920 --> 00:50:32,480 Speaker 1: was that about Wharton? Jeffrey, my name's jack whatever, Jackery 812 00:50:33,040 --> 00:50:35,799 Speaker 1: all right? Uh? And finally, you know, I think we've 813 00:50:35,840 --> 00:50:38,480 Speaker 1: all been saying, when will the Oscars go back to 814 00:50:38,520 --> 00:50:41,280 Speaker 1: having a host? We love the days of Billy Crystal, 815 00:50:41,400 --> 00:50:44,400 Speaker 1: we love the days of Ellen, we love the days 816 00:50:44,880 --> 00:50:47,880 Speaker 1: of Rock. Did you ever do an Academy? Yeah? He did, 817 00:50:47,920 --> 00:50:51,680 Speaker 1: won Academy Awards, and by making a joke about Jude Law, 818 00:50:51,920 --> 00:50:55,440 Speaker 1: like Sean Bell was like, I'll tell you who Jude 819 00:50:55,520 --> 00:51:00,239 Speaker 1: Law is. He's the finest damn actor I've ever fucking seen, 820 00:51:00,400 --> 00:51:05,560 Speaker 1: like the greatest philanthropists that our world has ever seen. 821 00:51:05,760 --> 00:51:07,840 Speaker 1: But yeah, so they've taken a break from having a 822 00:51:07,920 --> 00:51:10,960 Speaker 1: host recently. I mean, my favorite Oscar's host ever, I 823 00:51:11,000 --> 00:51:14,040 Speaker 1: think everybody agrees is the James Franco. But the so 824 00:51:14,080 --> 00:51:16,799 Speaker 1: they're taking a break just to like give Franco some 825 00:51:16,880 --> 00:51:23,520 Speaker 1: time to rest. But the yeah, so they haven't had 826 00:51:23,520 --> 00:51:27,560 Speaker 1: a host, but ratings have been going down and down, 827 00:51:27,760 --> 00:51:31,479 Speaker 1: and so what one like storyline that people are bringing 828 00:51:31,560 --> 00:51:35,200 Speaker 1: up is like you gotta nominate the Spider Man movie 829 00:51:35,239 --> 00:51:38,360 Speaker 1: for Best Picture and then just like get people to 830 00:51:38,400 --> 00:51:40,919 Speaker 1: tune in for that so that they're then like mad 831 00:51:41,000 --> 00:51:42,879 Speaker 1: when it doesn't win or something. I don't. I don't 832 00:51:42,880 --> 00:51:47,919 Speaker 1: know the strategy really, but they're instead planning on, I guess, 833 00:51:48,040 --> 00:51:54,080 Speaker 1: asking Tom Holland to host the Academy Awards. Oh okay, 834 00:51:54,760 --> 00:51:59,879 Speaker 1: because it's definitely that the no host thing is cause 835 00:52:00,080 --> 00:52:06,200 Speaker 1: a dipping ratings, not because Green Book one, right or 836 00:52:06,320 --> 00:52:12,080 Speaker 1: just in definitely the host situation not crash. Yeah, the 837 00:52:12,160 --> 00:52:15,680 Speaker 1: selection of films that we've proclaimed are the best picture 838 00:52:15,760 --> 00:52:19,200 Speaker 1: ever according this very narrow group. Yeah, I don't. Yeah, 839 00:52:19,239 --> 00:52:21,440 Speaker 1: it's it's it seems in general like people don't have 840 00:52:21,480 --> 00:52:23,719 Speaker 1: the same appetite for awards shows unless it's like a 841 00:52:23,800 --> 00:52:26,080 Speaker 1: Grammys or something, because that's just like a big ask, 842 00:52:26,200 --> 00:52:31,120 Speaker 1: like it's a concert essentially with awards interspersed. Yeah, But 843 00:52:31,280 --> 00:52:34,000 Speaker 1: so they did do a poll to see who people wanted. 844 00:52:34,280 --> 00:52:39,640 Speaker 1: Tiffany Hattish is number one with eight the Rock number 845 00:52:39,680 --> 00:52:44,000 Speaker 1: seventeen or number two with sev Tina Fame, Amy Poehler. 846 00:52:44,040 --> 00:52:46,160 Speaker 1: Have they not done the Oscars? They've only done the 847 00:52:46,200 --> 00:52:49,279 Speaker 1: Golden Globes. I think so, But that would make sense. 848 00:52:49,360 --> 00:52:51,880 Speaker 1: That feels like it would make sense, not not if 849 00:52:51,880 --> 00:52:55,480 Speaker 1: they're like trying to fun up and young up the demographic, 850 00:52:55,560 --> 00:52:59,040 Speaker 1: but I mean they're definitely at least would make it 851 00:52:59,080 --> 00:53:04,279 Speaker 1: fun to watch. Queen Latifa, Paul Rudd, Lin, Manuel Miranda. Well, 852 00:53:04,320 --> 00:53:07,439 Speaker 1: here's what I like about this list, because it's Paul 853 00:53:07,520 --> 00:53:12,880 Speaker 1: Rudd and then No One and then made Miranda gets 854 00:53:12,960 --> 00:53:16,440 Speaker 1: half of what no One yet he's got four percent 855 00:53:16,520 --> 00:53:19,799 Speaker 1: and No One has eight percent. I can't feel good. Anyone, 856 00:53:19,840 --> 00:53:23,680 Speaker 1: anyone beneath the No. One standings on that list is 857 00:53:23,680 --> 00:53:27,960 Speaker 1: feeling pretty bad right now. Sorry. Oh yeah, Jamie Fox, 858 00:53:28,080 --> 00:53:30,919 Speaker 1: Sorry man, I don't honestly good for you for even 859 00:53:30,920 --> 00:53:33,560 Speaker 1: getting on that list. Like people, there were enough people 860 00:53:33,640 --> 00:53:37,000 Speaker 1: checking fear they're like, you know, Jamie Fox, Yeah, that's 861 00:53:37,040 --> 00:53:40,640 Speaker 1: I mean, yeah, that's that. That is interesting. That's an 862 00:53:40,640 --> 00:53:44,200 Speaker 1: interesting choice. I'm wondering, like where they This feels like 863 00:53:44,239 --> 00:53:49,160 Speaker 1: a pole of agents would have come up with this list, 864 00:53:49,400 --> 00:53:54,239 Speaker 1: Like it feels like just people who have careers. Oh, 865 00:53:54,280 --> 00:53:57,600 Speaker 1: the top three all represented by U t A interesting 866 00:53:58,480 --> 00:54:01,880 Speaker 1: but yeah, so they asked Tom Holland. Tom Holland was 867 00:54:01,960 --> 00:54:05,600 Speaker 1: then interviewed and said, like, maybe sometime in the future, 868 00:54:05,640 --> 00:54:08,480 Speaker 1: but I'm too busy right now, and then called the 869 00:54:08,560 --> 00:54:10,960 Speaker 1: reporter back and said, actually, I'd do it if I 870 00:54:11,040 --> 00:54:14,719 Speaker 1: asked me. So apparently there's something in the works there 871 00:54:14,719 --> 00:54:18,520 Speaker 1: and it's probably gonna be him. But yeah, it's completely 872 00:54:18,560 --> 00:54:21,279 Speaker 1: the like they they give it to Green Book and 873 00:54:21,320 --> 00:54:26,520 Speaker 1: Crash and like fucking bad movies for so long. So 874 00:54:27,600 --> 00:54:31,080 Speaker 1: I remember what people thought Shakespeare in Love was the 875 00:54:31,120 --> 00:54:35,640 Speaker 1: best movie that came out that year. Yeah, wouldn't it 876 00:54:35,760 --> 00:54:40,279 Speaker 1: beat Saving Private Ryan? Yeah, that's the private and like 877 00:54:40,360 --> 00:54:43,440 Speaker 1: Spielberg one Best Director and and that's not usually like 878 00:54:43,480 --> 00:54:47,000 Speaker 1: the momentum of the Oscars, Like, oh man, Spielberg got 879 00:54:47,040 --> 00:54:50,000 Speaker 1: Best Director for Private Ryan. You know, best pictures of 880 00:54:50,080 --> 00:54:57,000 Speaker 1: fucking rap baby, and they're like Shakespeare in Love. Um, 881 00:54:57,000 --> 00:55:00,000 Speaker 1: but yeah, when we were all caught up in ship 882 00:55:00,080 --> 00:55:03,239 Speaker 1: cargo fever that we were too blind to see that 883 00:55:03,320 --> 00:55:09,720 Speaker 1: it wasn't around. Oh goodness, goodness. Girls are all Merrimax movies, 884 00:55:09,760 --> 00:55:13,000 Speaker 1: by the way, And like they they proudly were like, yeah, 885 00:55:13,040 --> 00:55:16,080 Speaker 1: we'll get you, we'll get you. I will intimidate my 886 00:55:16,160 --> 00:55:19,600 Speaker 1: way into your movie being best picture, whether it's good 887 00:55:19,680 --> 00:55:24,279 Speaker 1: or not that seemed to be. But so this first 888 00:55:24,280 --> 00:55:27,719 Speaker 1: of all, if you want to like get an understanding 889 00:55:27,719 --> 00:55:32,200 Speaker 1: of like just the difficulty of making a watchable oscars, 890 00:55:32,320 --> 00:55:36,000 Speaker 1: like just go back to any Oscar telecasts like before 891 00:55:36,040 --> 00:55:39,560 Speaker 1: the nineties or like before you started watching them. They've 892 00:55:39,560 --> 00:55:44,440 Speaker 1: been bad forever. They're terrible. It's like watching a like 893 00:55:44,600 --> 00:55:49,000 Speaker 1: award show that like your company puts on for like employees, 894 00:55:49,280 --> 00:55:52,839 Speaker 1: Like it's just it sucks. Like they one time they 895 00:55:52,840 --> 00:55:56,200 Speaker 1: try to like get the young uns in ninety three 896 00:55:56,200 --> 00:56:00,560 Speaker 1: by having Frank Sinatra host, and he opened the ceremony 897 00:56:00,640 --> 00:56:03,520 Speaker 1: with a monologue about how the Mona Lisa like the 898 00:56:03,560 --> 00:56:07,279 Speaker 1: painting would be received by modern Hollywood producers. And I 899 00:56:07,320 --> 00:56:09,640 Speaker 1: got a quote here, and I think you're gonna love it, 900 00:56:09,960 --> 00:56:13,160 Speaker 1: you know, Leonardo, Baby, I like it. I really like it. 901 00:56:14,120 --> 00:56:17,520 Speaker 1: So it's pretty good stuff. Like that's I think my 902 00:56:17,719 --> 00:56:21,520 Speaker 1: favorite comedy. Well, first number one with a bullet is 903 00:56:21,640 --> 00:56:24,600 Speaker 1: the stand up challenges on RuPaul's Drag Race. Those are 904 00:56:24,600 --> 00:56:31,000 Speaker 1: always top tier. And the right below it is teleprompter jokes. Yeah, 905 00:56:32,120 --> 00:56:35,760 Speaker 1: watching the delivery of a prompter joke, like, oh my god, 906 00:56:36,160 --> 00:56:39,759 Speaker 1: like he said the punchline out of okay, sure, yeah, 907 00:56:39,800 --> 00:56:43,319 Speaker 1: I'll used to it. Paul Hogan, Okay, Crocodile Dundee once 908 00:56:43,520 --> 00:56:51,640 Speaker 1: hosted the Oscars and and did that it was actually yeah, yeah, exactly. 909 00:56:51,840 --> 00:56:54,879 Speaker 1: He co hosted with Chevy Chase and Goldie Han. And 910 00:56:55,680 --> 00:56:58,479 Speaker 1: because they're all or at least Paul Hogan and Chevy 911 00:56:58,560 --> 00:57:03,759 Speaker 1: Chase are like famously massive egos, where they were ever 912 00:57:03,880 --> 00:57:06,959 Speaker 1: on on stage at the same time. Oh really, hope 913 00:57:07,040 --> 00:57:08,879 Speaker 1: they were both like I ain't sharing the stage, yeah 914 00:57:09,480 --> 00:57:14,120 Speaker 1: that guy? Or yeah is check the Chase? Just Paul 915 00:57:14,200 --> 00:57:19,400 Speaker 1: Hogan with on right? How come you never seen him 916 00:57:19,400 --> 00:57:22,560 Speaker 1: in the same place at the same time. What double 917 00:57:22,600 --> 00:57:24,480 Speaker 1: different on that? Check. The thing at the end of 918 00:57:24,520 --> 00:57:26,120 Speaker 1: the day, I think with all these awards shows is, 919 00:57:26,280 --> 00:57:29,440 Speaker 1: you know, across the board, awards shows are just declining, 920 00:57:29,720 --> 00:57:32,960 Speaker 1: like in terms of viewership, and it's it's like, I 921 00:57:33,000 --> 00:57:36,400 Speaker 1: think it's again if they're too insular, no one watches 922 00:57:36,400 --> 00:57:38,800 Speaker 1: it and feels that they have any any way to 923 00:57:38,880 --> 00:57:41,680 Speaker 1: affect what they're seeing. So it's just you, I think 924 00:57:41,720 --> 00:57:43,240 Speaker 1: for a lot of people are trying to realize, like 925 00:57:43,520 --> 00:57:44,960 Speaker 1: I don't know, it's a it's a way for all 926 00:57:45,000 --> 00:57:47,240 Speaker 1: these people in this room to clap at each other 927 00:57:47,440 --> 00:57:49,800 Speaker 1: like I don't know what the like these are my picks, 928 00:57:50,200 --> 00:57:52,880 Speaker 1: so I'm not as interested. And I think as that 929 00:57:52,960 --> 00:57:55,880 Speaker 1: glamour fades, they're like, like, I think you brought this 930 00:57:55,960 --> 00:57:57,960 Speaker 1: up Jack like a while ago, is like, is there 931 00:57:58,000 --> 00:58:00,840 Speaker 1: like a fan vote or something like do you democratize 932 00:58:00,880 --> 00:58:03,800 Speaker 1: an award within the oscars where people can you know, 933 00:58:03,880 --> 00:58:06,240 Speaker 1: participate And I get that, like it's about everybody in 934 00:58:06,280 --> 00:58:09,120 Speaker 1: the Motion Picture Association, But I bet you that the 935 00:58:09,240 --> 00:58:11,760 Speaker 1: m p a A Is looking at me like this 936 00:58:11,840 --> 00:58:14,200 Speaker 1: is how we generate revenue, like we need to have 937 00:58:14,240 --> 00:58:15,920 Speaker 1: a better award show, and if we have to fucking 938 00:58:16,000 --> 00:58:18,360 Speaker 1: change things, then maybe we will. But I think there's 939 00:58:18,720 --> 00:58:20,880 Speaker 1: there's that aspect of watching it where it's just like 940 00:58:20,920 --> 00:58:23,560 Speaker 1: frustrating and like you just you just don't care, you 941 00:58:23,600 --> 00:58:25,080 Speaker 1: know what I mean. I think they should make the 942 00:58:25,160 --> 00:58:27,560 Speaker 1: voting public. I don't. I don't think fans should get 943 00:58:27,600 --> 00:58:30,040 Speaker 1: to vote because then it would just be fucking Disney. 944 00:58:30,560 --> 00:58:33,240 Speaker 1: But or something that actually speaks to people as if 945 00:58:33,280 --> 00:58:35,360 Speaker 1: it's like and you know, I think you were phrases 946 00:58:35,400 --> 00:58:37,800 Speaker 1: like the most popular movie of the year or something 947 00:58:37,840 --> 00:58:41,040 Speaker 1: like that, like as an award where it's clear where 948 00:58:41,080 --> 00:58:43,240 Speaker 1: you can be like okay, like we're not having to 949 00:58:43,240 --> 00:58:45,080 Speaker 1: look at it through the lens of like what is 950 00:58:45,240 --> 00:58:49,840 Speaker 1: cinema and you mean like the best film versus best movie. 951 00:58:51,480 --> 00:58:58,080 Speaker 1: I was like differentiating between like this one the the two. Right, Basically, 952 00:58:58,480 --> 00:59:03,080 Speaker 1: I think definitely the like the role of celebrity has shifted, 953 00:59:03,160 --> 00:59:06,959 Speaker 1: or at least our opinion on celebrity, where you know, influencers, 954 00:59:07,000 --> 00:59:10,200 Speaker 1: people people who dressed like us or they're my age, 955 00:59:10,320 --> 00:59:14,160 Speaker 1: like they look they're they're more praise than some guy 956 00:59:14,360 --> 00:59:18,080 Speaker 1: in a tux and not only that, like some guy 957 00:59:18,080 --> 00:59:20,480 Speaker 1: in a tux who goes up on stage and talks 958 00:59:20,520 --> 00:59:24,960 Speaker 1: about that we need to get the hunger situation sorted out, 959 00:59:25,000 --> 00:59:29,320 Speaker 1: and it's like you're a millionaire. I think that's probably 960 00:59:29,360 --> 00:59:31,920 Speaker 1: that just doesn't look good a bunch of people in 961 00:59:32,080 --> 00:59:37,560 Speaker 1: tuxes and dresses being like film has the ability to 962 00:59:37,560 --> 00:59:44,120 Speaker 1: touch all lives and save the world Stephen, Yes, all 963 00:59:44,240 --> 00:59:54,320 Speaker 1: lives matters, and then like some canned joke that like 964 00:59:54,400 --> 01:00:00,600 Speaker 1: they intentionally just like fucking drop to just like yeah, 965 01:00:00,920 --> 01:00:03,120 Speaker 1: let people know they're better than the material is just 966 01:00:03,280 --> 01:00:07,160 Speaker 1: like fun man, Right, Yeah, I don't know, but I 967 01:00:07,160 --> 01:00:09,320 Speaker 1: think that's I don't I don't know another way that 968 01:00:09,600 --> 01:00:12,280 Speaker 1: I would be interested. I guess yeah if the voting 969 01:00:12,280 --> 01:00:14,600 Speaker 1: were transparent, but then it's like what we see who 970 01:00:14,680 --> 01:00:17,760 Speaker 1: how each person voted? Well yeah, because then like people 971 01:00:17,760 --> 01:00:21,240 Speaker 1: would be like, Okay, this dipshit voted for green book, 972 01:00:21,320 --> 01:00:26,080 Speaker 1: like we get to like the yeah yeah exactly, yeah, 973 01:00:26,160 --> 01:00:27,600 Speaker 1: but then yeah, I think the awards need to be 974 01:00:27,640 --> 01:00:31,320 Speaker 1: a little bit better, like best stunt, best seen, best 975 01:00:31,400 --> 01:00:34,880 Speaker 1: like like things that you can like actually enjoy. Yeah, 976 01:00:34,960 --> 01:00:39,200 Speaker 1: but then yeah, like but less stupid than that. Those 977 01:00:39,240 --> 01:00:41,680 Speaker 1: categories were like best fight you know what I mean, Yeah, 978 01:00:42,320 --> 01:00:44,720 Speaker 1: action scene and you work. I remember being like, holy 979 01:00:44,760 --> 01:00:48,760 Speaker 1: sh it, okay, yeah yeah, like that done. If that 980 01:00:49,080 --> 01:00:52,680 Speaker 1: award show were created by like people who actually work 981 01:00:52,760 --> 01:00:55,760 Speaker 1: and like love movies, like I would, I would be 982 01:00:55,800 --> 01:00:58,480 Speaker 1: interested in seeing that as opposed to being made by MTV. 983 01:00:59,480 --> 01:01:02,120 Speaker 1: I would. I would even like because I think we've 984 01:01:02,200 --> 01:01:06,200 Speaker 1: voted on things before where we're going through it, even 985 01:01:06,280 --> 01:01:09,080 Speaker 1: like election stuff when it gets down to like city 986 01:01:09,080 --> 01:01:11,520 Speaker 1: council person or like I I don't know, I'll pick 987 01:01:11,560 --> 01:01:13,720 Speaker 1: the name I like the best. It would be cool 988 01:01:13,840 --> 01:01:17,040 Speaker 1: if like every category, so like if they had the 989 01:01:17,120 --> 01:01:20,720 Speaker 1: best stunt, only stunt men vote on that, only the 990 01:01:20,760 --> 01:01:24,960 Speaker 1: only the field of stunt people voting that best best 991 01:01:25,280 --> 01:01:29,000 Speaker 1: sound editing, you get the the Sound Editing Guild to 992 01:01:29,440 --> 01:01:32,040 Speaker 1: vote on that. And then instead of like here's yeah, 993 01:01:32,480 --> 01:01:36,160 Speaker 1: and then instead of having like some central like you know, 994 01:01:36,200 --> 01:01:40,240 Speaker 1: a word show writer like being like sound editing is 995 01:01:40,400 --> 01:01:43,880 Speaker 1: the art of and like doing like a broad description 996 01:01:43,920 --> 01:01:47,640 Speaker 1: of what sound editing is, you then like have a 997 01:01:47,760 --> 01:01:51,160 Speaker 1: sound editor explained, like what was so like amazing about that? 998 01:01:51,200 --> 01:01:55,280 Speaker 1: Like do really like put some thought into presenting that 999 01:01:55,480 --> 01:01:58,439 Speaker 1: art form, like or like what is so fucking cool 1000 01:01:58,480 --> 01:02:01,240 Speaker 1: about the stunt in a way that like that's it 1001 01:02:01,320 --> 01:02:04,360 Speaker 1: seems like there are pretty straightforward ways you could like 1002 01:02:04,520 --> 01:02:07,920 Speaker 1: make it better and make it about movies without it 1003 01:02:08,080 --> 01:02:12,640 Speaker 1: just coming off like the fucking Nicole Kidman AMC commercial 1004 01:02:12,760 --> 01:02:16,080 Speaker 1: where like the magic of movies and it has clearly 1005 01:02:16,160 --> 01:02:24,120 Speaker 1: never been to a movie theater watching enchanted. Yeah, yeah, 1006 01:02:24,200 --> 01:02:26,360 Speaker 1: but I guess yeah, could you imagine they're like, yes, 1007 01:02:26,440 --> 01:02:29,040 Speaker 1: we should give the unions more influence on how these 1008 01:02:29,080 --> 01:02:31,400 Speaker 1: awards are giving out is sort of what that boils 1009 01:02:31,440 --> 01:02:34,360 Speaker 1: down to, right, It's like, yeah, keep it specialized, but 1010 01:02:34,400 --> 01:02:36,280 Speaker 1: I think it would make more sense because you feel 1011 01:02:36,320 --> 01:02:40,000 Speaker 1: like rather than some like someone's grandpa who used to 1012 01:02:40,040 --> 01:02:43,919 Speaker 1: be an editor in the seventies, who still has a vote, Like, yeah, 1013 01:02:43,960 --> 01:02:46,080 Speaker 1: they're gonna their taste is all over the place, like 1014 01:02:46,160 --> 01:02:49,920 Speaker 1: let's I like this idea specialized pots. But then nobody watches. 1015 01:02:50,000 --> 01:02:51,880 Speaker 1: I guess, you know, I guess people watch the SAG 1016 01:02:51,920 --> 01:02:54,480 Speaker 1: Awards or the d g A Awards and they just 1017 01:02:54,600 --> 01:02:58,160 Speaker 1: feel I mean, they broadcast them, so clearly there's enough, 1018 01:02:58,320 --> 01:03:01,920 Speaker 1: there's enough revenue to just ty to continued broadcast of it. 1019 01:03:02,600 --> 01:03:05,080 Speaker 1: I gotta start watching those awards. I think that's the 1020 01:03:05,120 --> 01:03:08,120 Speaker 1: thing I've learned. I need to watch more award shows. Yes, 1021 01:03:08,240 --> 01:03:12,440 Speaker 1: exactly the lesson to today's lesson. I don't know I 1022 01:03:12,760 --> 01:03:15,400 Speaker 1: even in that respect. I'm in the w e A 1023 01:03:15,600 --> 01:03:23,440 Speaker 1: for jingle Albanet, So you don't want my opinion about me. 1024 01:03:25,360 --> 01:03:28,520 Speaker 1: Uh Steven has always such a pleasure having you. Where 1025 01:03:28,520 --> 01:03:31,080 Speaker 1: can people find you and follow you? You can follow 1026 01:03:31,120 --> 01:03:36,600 Speaker 1: me on Instagram, Twitter, Instagram Twitter. They just merged Uhler 1027 01:03:36,720 --> 01:03:40,680 Speaker 1: with an E, Wilbur with an E spelled Wilbur with 1028 01:03:41,040 --> 01:03:45,080 Speaker 1: an E, and Wilbur is spelled spelt with the somebody 1029 01:03:45,280 --> 01:03:49,720 Speaker 1: has made that mistake before, spelled my name w I 1030 01:03:49,880 --> 01:03:52,200 Speaker 1: L B you R, and then put my Twitter name 1031 01:03:52,400 --> 01:03:56,600 Speaker 1: right next to it. Yeah, you do that all the time, 1032 01:03:56,880 --> 01:04:01,600 Speaker 1: where they they'll somehow spell my handle correctly and then 1033 01:04:01,680 --> 01:04:04,320 Speaker 1: misspell my last name like right next I'm like, how 1034 01:04:04,360 --> 01:04:07,480 Speaker 1: did you get the handle right? And then not? Then okay, 1035 01:04:07,760 --> 01:04:10,920 Speaker 1: you know what's I had the lesson I learned from 1036 01:04:10,920 --> 01:04:12,760 Speaker 1: that as you guys are spelling your names wrong, and 1037 01:04:12,880 --> 01:04:15,480 Speaker 1: you should listen to the people. Thank you. You're just 1038 01:04:15,520 --> 01:04:18,560 Speaker 1: people are speaking to you and you're not listening. Joe Biden, 1039 01:04:19,440 --> 01:04:21,160 Speaker 1: is there a tweet or some of the work of 1040 01:04:21,280 --> 01:04:24,960 Speaker 1: social media that you've been enjoying? Two things. I guess 1041 01:04:25,080 --> 01:04:26,880 Speaker 1: there's a tweet from a couple of days ago by 1042 01:04:26,920 --> 01:04:33,440 Speaker 1: this um or should Anna said free Palestine, Uh whatever 1043 01:04:33,520 --> 01:04:37,960 Speaker 1: that means. But yellow Stone really posets what if cattle 1044 01:04:38,080 --> 01:04:41,640 Speaker 1: ranchers were annoying as hell? I think that's pretty funny. 1045 01:04:41,800 --> 01:04:44,800 Speaker 1: And then a t shirt popped up in my algorithm 1046 01:04:45,120 --> 01:04:50,560 Speaker 1: that said, yeah, I'm into IBS Irritable bow syndrome and 1047 01:04:50,600 --> 01:04:59,280 Speaker 1: that's leaning right into it. That was pretty good. Shut 1048 01:04:59,360 --> 01:05:06,080 Speaker 1: up to super do sir. No, Uh, Miles, where can 1049 01:05:06,120 --> 01:05:08,960 Speaker 1: people find you? What's a tweet you've been enjoying? Twitter? Instagram? 1050 01:05:09,040 --> 01:05:12,600 Speaker 1: At Miles of Gray also the ninety day Reality podcast 1051 01:05:12,640 --> 01:05:16,000 Speaker 1: four twenty day fiance or Sophia and alex Sophia, Alexander 1052 01:05:16,040 --> 01:05:18,840 Speaker 1: and I just talked that reality shop. I like three 1053 01:05:18,880 --> 01:05:21,720 Speaker 1: tweets today. First one is from ron Amaya at Juan 1054 01:05:21,880 --> 01:05:25,080 Speaker 1: Underscore A Maya tweeted this month, I'm doing something called 1055 01:05:25,160 --> 01:05:27,600 Speaker 1: January where I try to make it through every day 1056 01:05:27,600 --> 01:05:31,040 Speaker 1: of January. Yes, that feels about good. Yeah, that's a 1057 01:05:31,040 --> 01:05:35,040 Speaker 1: good goal to have. Another one sounded like Hedberg. Yeah, 1058 01:05:35,320 --> 01:05:37,880 Speaker 1: thank you. I'm trying to do this thing called January 1059 01:05:37,920 --> 01:05:40,360 Speaker 1: where I will do The next one is from at 1060 01:05:40,520 --> 01:05:44,760 Speaker 1: Moderate Moderately Mused tweeted twenty five year old will look 1061 01:05:44,760 --> 01:05:46,360 Speaker 1: you dead in the eye and ask you if you've 1062 01:05:46,400 --> 01:05:51,840 Speaker 1: heard of led Zeppelin all the time as relates to 1063 01:05:51,960 --> 01:05:54,680 Speaker 1: rap and other music. And last one, slap R s 1064 01:05:54,800 --> 01:05:56,880 Speaker 1: l v p p Y tweeted, I hope my kids 1065 01:05:56,920 --> 01:05:58,440 Speaker 1: are good at math because I won't be no help 1066 01:05:58,480 --> 01:06:01,760 Speaker 1: after third grade. And I thought that, I'm like, yo, man, 1067 01:06:01,840 --> 01:06:05,800 Speaker 1: division fucking multiplication, Like, don't put these fractions, don't put 1068 01:06:06,040 --> 01:06:08,920 Speaker 1: fucking coast, don't putting that other ship in front of Yeah, 1069 01:06:09,360 --> 01:06:13,400 Speaker 1: that's why calculators exist. Common Core still around. They doing 1070 01:06:13,480 --> 01:06:17,760 Speaker 1: that still common core. Yeah, the common core math or 1071 01:06:17,840 --> 01:06:21,480 Speaker 1: did they give up on that? Was that it's like, uh, 1072 01:06:22,240 --> 01:06:24,600 Speaker 1: it was like a trendy way of doing math. That 1073 01:06:24,720 --> 01:06:30,520 Speaker 1: was like, I don't even thinking like kumon math the 1074 01:06:30,600 --> 01:06:34,360 Speaker 1: Japanese or they called it kuman math in the US. Oh, 1075 01:06:34,400 --> 01:06:36,600 Speaker 1: I called it come on because I thought they were like, 1076 01:06:36,720 --> 01:06:40,440 Speaker 1: come on, learn this stuff. Come on, you know, like numbers, 1077 01:06:40,840 --> 01:06:43,680 Speaker 1: you know it's kumon. I don't know. Shout out in 1078 01:06:43,760 --> 01:06:47,040 Speaker 1: the comments if you know what come on math was? 1079 01:06:48,680 --> 01:06:52,200 Speaker 1: Jack's just processing that one. Some tweets have been enjoying. 1080 01:06:52,920 --> 01:06:55,880 Speaker 1: Michael Cruz Caine tweeted, there's nothing I won't do to 1081 01:06:55,960 --> 01:06:58,240 Speaker 1: make sure the waiter likes me. I will sell out 1082 01:06:58,320 --> 01:07:01,480 Speaker 1: everyone at the table. I'm so sorry about them, even 1083 01:07:01,520 --> 01:07:04,520 Speaker 1: if they're being totally normal, nothing matters more to me. 1084 01:07:04,640 --> 01:07:09,880 Speaker 1: I would give it all away, yeah man, Yeah, and 1085 01:07:09,920 --> 01:07:12,880 Speaker 1: then Sandy Downtoe tweeted, oh, you didn't have any taste 1086 01:07:12,960 --> 01:07:19,360 Speaker 1: before COVID either, honey. Uh. You can find me on 1087 01:07:19,400 --> 01:07:21,560 Speaker 1: Twitter at Jack Underscore O'Brien. You can find us on 1088 01:07:21,600 --> 01:07:25,120 Speaker 1: Twitter at Daily Zeitgeist. We're at the Daily Ziegeist. On Instagram, 1089 01:07:25,160 --> 01:07:27,400 Speaker 1: we have Facebook fan page and a website daily zi 1090 01:07:27,440 --> 01:07:31,120 Speaker 1: geist dot com, where we post our episodes on our footnotes, 1091 01:07:31,760 --> 01:07:33,360 Speaker 1: where we link off to the information that we talked 1092 01:07:33,400 --> 01:07:35,680 Speaker 1: about in today's episode, as well as a song that 1093 01:07:35,760 --> 01:07:38,680 Speaker 1: we think you might enjoy us something that we think 1094 01:07:38,680 --> 01:07:40,479 Speaker 1: people might enjoy it that I mean, you were close 1095 01:07:40,520 --> 01:07:43,040 Speaker 1: to the weekend, close to maybe feeling a little more 1096 01:07:43,040 --> 01:07:46,320 Speaker 1: relaxed despite the tense, tense time we're in. So check 1097 01:07:46,360 --> 01:07:49,440 Speaker 1: out this remix of Lovely Day by Bill Withers. But 1098 01:07:49,520 --> 01:07:52,920 Speaker 1: it's like a very bossa nova like Brazilian version. So 1099 01:07:52,960 --> 01:07:57,000 Speaker 1: it's the real studio version of Lovely Day by Bill Withers. 1100 01:07:57,440 --> 01:07:59,800 Speaker 1: And I don't know, it just feels like, I don't know, 1101 01:08:00,000 --> 01:08:02,200 Speaker 1: look at a screen saver of a beach or something 1102 01:08:02,280 --> 01:08:04,200 Speaker 1: and listen to this and and you'll probably feel good 1103 01:08:04,240 --> 01:08:07,160 Speaker 1: for about five seconds. All right, I need that. I 1104 01:08:07,240 --> 01:08:10,600 Speaker 1: need that. Take two of those and call Miles in 1105 01:08:10,680 --> 01:08:13,280 Speaker 1: the morning exactly. All right. Well, The Daily zeit Geys 1106 01:08:13,280 --> 01:08:15,480 Speaker 1: is a production by Heart Radio. For more podcasts for 1107 01:08:15,560 --> 01:08:18,280 Speaker 1: my heart Radio, visit the heart Radio app Apple podcast 1108 01:08:18,600 --> 01:08:20,640 Speaker 1: wherever you listen your favorite shows. That's gonna do it 1109 01:08:20,720 --> 01:08:22,680 Speaker 1: for us this morning. But we're back this afternoon to 1110 01:08:22,720 --> 01:08:25,240 Speaker 1: tell you what's trending, and we'll talk to you all 1111 01:08:25,280 --> 01:08:28,040 Speaker 1: down by ye by bye bye