1 00:00:00,080 --> 00:00:03,040 Speaker 1: Hello the Internet, and welcome to season one oh seven, 2 00:00:03,080 --> 00:00:07,200 Speaker 1: Episode four of Joe Daly's Eight Guys to Production of 3 00:00:07,280 --> 00:00:09,960 Speaker 1: My Our Radio. This is a podcast where we take 4 00:00:10,039 --> 00:00:14,560 Speaker 1: a deep dive into America's shared consciousness and say, officially, 5 00:00:14,720 --> 00:00:18,400 Speaker 1: off the top, fuck coke industries as in the Koch 6 00:00:18,480 --> 00:00:23,000 Speaker 1: Brothers and Funck Fox News unpopular opinion, but I'm gonna 7 00:00:23,000 --> 00:00:26,920 Speaker 1: go ahead and say it. It's Thursday, November seven, two 8 00:00:26,920 --> 00:00:31,720 Speaker 1: thousand ninety. My name is Jack O'Brien aka Working Jack O'Brien. 9 00:00:32,240 --> 00:00:36,159 Speaker 1: What a way to make living Miles is get in 10 00:00:36,440 --> 00:00:42,479 Speaker 1: high always token in giving. That is courtesy of my 11 00:00:42,600 --> 00:00:44,640 Speaker 1: brain because we were watching nine to five in the 12 00:00:44,680 --> 00:00:47,760 Speaker 1: office this morning. Uh, and I'm thrilled to be joined 13 00:00:48,080 --> 00:00:52,239 Speaker 1: as always by my co host, Mr Miles. Yes, children 14 00:00:52,280 --> 00:00:55,680 Speaker 1: gather around Darling's It's Miles aka Trillly Ninja a k 15 00:00:55,840 --> 00:00:59,280 Speaker 1: A Jesus Extravaganza a k A Mother of the House 16 00:00:59,320 --> 00:01:03,320 Speaker 1: of Love Blaz's Yeah a K. A category is cush 17 00:01:03,440 --> 00:01:07,320 Speaker 1: Queen realness. For those of y'all don't know, I posted 18 00:01:07,680 --> 00:01:11,600 Speaker 1: a yeah. William Ninja one of the great performers. Okay, 19 00:01:12,000 --> 00:01:14,360 Speaker 1: the in the ballroom scene. If you've seen Paris is Burning. 20 00:01:14,400 --> 00:01:16,600 Speaker 1: You know about this person? Uh and shout out to 21 00:01:16,640 --> 00:01:21,680 Speaker 1: Pterodactyl as certainly socialite caught the wave and sent me back. Basically, 22 00:01:21,720 --> 00:01:24,160 Speaker 1: Paris is Burning drag a case if you haven't seen 23 00:01:24,200 --> 00:01:27,000 Speaker 1: Paris is Burning one of the great documentaries about drag 24 00:01:27,480 --> 00:01:30,800 Speaker 1: ball ball culture. If you really want to see you 25 00:01:30,800 --> 00:01:33,959 Speaker 1: know where the origins of boganism, Well we are through 26 00:01:34,600 --> 00:01:44,680 Speaker 1: and Eric the Hilarious and talent to Mr Johnny Pemberg. Yeah, hey, 27 00:01:45,319 --> 00:01:49,120 Speaker 1: hey man, great doc. Yeah, great doc. Great. I think 28 00:01:49,120 --> 00:01:52,400 Speaker 1: it's on Netflix. Yeah. Cool thing about that docs I 29 00:01:52,440 --> 00:01:56,720 Speaker 1: found it. It It took her ten years to make it. Wow. Yeah. 30 00:01:56,880 --> 00:02:01,880 Speaker 1: I feel like documentary filmmaking is in general, like, well, 31 00:02:01,920 --> 00:02:05,080 Speaker 1: you're not gonna have an actual living based on this. 32 00:02:05,960 --> 00:02:08,800 Speaker 1: You gotta really like, you just have to. I had 33 00:02:08,840 --> 00:02:10,840 Speaker 1: a lot of good documentars seem to be like there's 34 00:02:10,840 --> 00:02:13,880 Speaker 1: always a person in a scene who just taped everything 35 00:02:13,960 --> 00:02:16,240 Speaker 1: but really didn't have a reason for it. And then 36 00:02:16,280 --> 00:02:18,640 Speaker 1: someone's like and then I met this person, like you 37 00:02:18,680 --> 00:02:21,160 Speaker 1: have a documentary here. Yeah, yeah, it's I mean, I 38 00:02:21,160 --> 00:02:23,920 Speaker 1: guess it's kind of thankless. Yeah. I think back like 39 00:02:24,000 --> 00:02:26,160 Speaker 1: when I first got like, I used to have a 40 00:02:26,160 --> 00:02:28,280 Speaker 1: lot of cameras and I would always shoot a ton 41 00:02:28,320 --> 00:02:31,280 Speaker 1: of video on them. I feel like in about three years, 42 00:02:31,280 --> 00:02:32,799 Speaker 1: if I go through some hard drives, I can put 43 00:02:32,840 --> 00:02:36,040 Speaker 1: together like a wicked documentary about two thousand five to 44 00:02:36,120 --> 00:02:37,959 Speaker 1: two thousand twelve, or a great what's it call that 45 00:02:38,040 --> 00:02:42,040 Speaker 1: when you take someone down? A takedown piece on myself? Yeah, 46 00:02:43,360 --> 00:02:45,959 Speaker 1: like this is me that drunk at the standard. Uh. 47 00:02:46,040 --> 00:02:51,519 Speaker 1: Andrew Direcy made Capturing the Friedman's after he started making 48 00:02:51,840 --> 00:02:54,720 Speaker 1: do you know that documentary? My old neighbor in Tallahassee 49 00:02:54,760 --> 00:02:58,400 Speaker 1: was one of the people in that documentary. Yeah, he's 50 00:02:58,680 --> 00:03:01,120 Speaker 1: well it's a long now, it's a long, short story. 51 00:03:01,240 --> 00:03:03,799 Speaker 1: But he was a really weird guy. But he also 52 00:03:04,280 --> 00:03:07,799 Speaker 1: said that nothing weird was going on there, which is true, 53 00:03:08,160 --> 00:03:13,519 Speaker 1: right right, Yeah, But Capturing the Free is a great documentary. 54 00:03:13,560 --> 00:03:18,200 Speaker 1: But it started out as a documentary about birthday party clowns. 55 00:03:18,639 --> 00:03:22,000 Speaker 1: That's what he thought he was making. And then one 56 00:03:22,040 --> 00:03:25,120 Speaker 1: of the birthday party clowns was like a really fucked 57 00:03:25,160 --> 00:03:28,720 Speaker 1: up childhood and we videotaped everything. Anyways, you don't want 58 00:03:28,720 --> 00:03:33,959 Speaker 1: to know about the parties are a hell of a thing. 59 00:03:34,080 --> 00:03:35,400 Speaker 1: What can I make for you with this balloon? A 60 00:03:35,520 --> 00:03:40,040 Speaker 1: severed arms. They've gotten worse. I think it's docs have 61 00:03:40,080 --> 00:03:43,640 Speaker 1: gotten not as good. I feel like it because I 62 00:03:43,640 --> 00:03:45,200 Speaker 1: don't know. I haven't watched one a while where I 63 00:03:45,240 --> 00:03:49,280 Speaker 1: was really just yeah, nickle Ish was probably when of 64 00:03:49,280 --> 00:03:50,960 Speaker 1: the last one I saw that had a good turn 65 00:03:51,040 --> 00:03:53,880 Speaker 1: in it. But I don't know, I feel like, you know, 66 00:03:54,000 --> 00:03:56,760 Speaker 1: Free Solo was also good. I enjoyed Free Solo. Yeah, 67 00:03:56,800 --> 00:03:58,680 Speaker 1: that was that was special. I don't to me, that 68 00:03:58,720 --> 00:04:01,440 Speaker 1: wasn't like a documentary as much, is it? Well, obviously 69 00:04:01,440 --> 00:04:08,360 Speaker 1: it was about that guy. He doesn't really do that. Ye, 70 00:04:09,200 --> 00:04:15,640 Speaker 1: maybe he he did it. Uh, We'll sure there's good 71 00:04:15,680 --> 00:04:18,000 Speaker 1: docs out there. I mean HBO was checked that little 72 00:04:18,040 --> 00:04:20,320 Speaker 1: subheading sometimes because I grew up watching a lot of 73 00:04:20,400 --> 00:04:26,480 Speaker 1: HBO documentaries. Yeah, the trailer for the Best Documentaries nominees 74 00:04:26,480 --> 00:04:29,120 Speaker 1: and the Oscars this past year, there were a couple 75 00:04:29,160 --> 00:04:31,680 Speaker 1: of them that seemed like they were like more like 76 00:04:31,880 --> 00:04:36,840 Speaker 1: tone poem documentaries, like not really like more arts art 77 00:04:36,880 --> 00:04:40,360 Speaker 1: films and less about like the content of the story 78 00:04:40,480 --> 00:04:43,880 Speaker 1: or the subject matter. Uh. And that's something that I 79 00:04:43,920 --> 00:04:47,560 Speaker 1: hadn't really seen, so but I didn't watch them so 80 00:04:47,560 --> 00:04:50,960 Speaker 1: so jokes on them in your face artist watched the 81 00:04:51,040 --> 00:04:56,120 Speaker 1: weirdos like Vernon, Florida. Yeah, yeah, you gotta. Most people 82 00:04:56,160 --> 00:04:58,440 Speaker 1: think you can only have a one track mind. You 83 00:04:58,480 --> 00:05:00,480 Speaker 1: know that bit when he's like you can actually if 84 00:05:00,520 --> 00:05:04,080 Speaker 1: you're shooting a gun pat in your head and then 85 00:05:04,120 --> 00:05:10,080 Speaker 1: singing the song, that's a four track mind. Part of 86 00:05:10,120 --> 00:05:11,960 Speaker 1: that thing is so great. Have you ever seen a 87 00:05:12,000 --> 00:05:17,160 Speaker 1: man's brains? What that? Yeah? Did you hear that? What 88 00:05:17,200 --> 00:05:22,400 Speaker 1: was that? I haven't mule Skinner Blues is about this 89 00:05:22,440 --> 00:05:24,520 Speaker 1: guy who lives in a trailer park who's trying to 90 00:05:24,520 --> 00:05:26,640 Speaker 1: create a horror film with people that live in his 91 00:05:26,680 --> 00:05:29,320 Speaker 1: trailer parks. That's sort of like a American movie almost 92 00:05:29,480 --> 00:05:32,040 Speaker 1: in a way. Yeah, but the people that live around 93 00:05:32,160 --> 00:05:35,680 Speaker 1: him all have very interesting backgrounds. One guy was like 94 00:05:35,680 --> 00:05:39,480 Speaker 1: a savant guitar player, but because of like substance abuse issues, 95 00:05:39,520 --> 00:05:43,160 Speaker 1: like couldn't get his ship together. But like and then 96 00:05:43,160 --> 00:05:45,920 Speaker 1: there's like other people. It's a very very I don't know, 97 00:05:46,200 --> 00:05:47,920 Speaker 1: it could be fake, but from what I can tell, 98 00:05:48,000 --> 00:05:51,080 Speaker 1: it seems very real and like the world's it's it's 99 00:05:51,080 --> 00:05:54,040 Speaker 1: one of those like truly like enter this world type 100 00:05:54,040 --> 00:05:57,320 Speaker 1: of documentary. I like entering a good world. Yeah, yeah, 101 00:05:57,480 --> 00:06:02,000 Speaker 1: don't all so Vernon Florida was Errol Morris's like breakthrough 102 00:06:02,240 --> 00:06:04,839 Speaker 1: the documentary where he just made it about people in 103 00:06:04,880 --> 00:06:08,560 Speaker 1: a town. I think it was before the integratron though, 104 00:06:09,400 --> 00:06:12,640 Speaker 1: which is that that device he made using a closed caption? 105 00:06:12,760 --> 00:06:18,159 Speaker 1: Ng uh caption? But what do you call a prompter? Teleprompter? Right? Yeah, 106 00:06:18,360 --> 00:06:21,800 Speaker 1: so people are looking directly in the camera, but they're 107 00:06:21,800 --> 00:06:24,359 Speaker 1: looking at his face. At first I thought vern in 108 00:06:24,400 --> 00:06:28,919 Speaker 1: Florida was an Earnest film. Oh my god, I would 109 00:06:28,960 --> 00:06:33,960 Speaker 1: love that. I love Ernest so much. We find out 110 00:06:34,000 --> 00:06:36,560 Speaker 1: so much about him. But what about Verne? Yeah? Where 111 00:06:36,600 --> 00:06:41,440 Speaker 1: is his burn? You know? Did we ever get to 112 00:06:41,480 --> 00:06:43,080 Speaker 1: the bottom of who Verne is? Or? That was just 113 00:06:43,120 --> 00:06:45,040 Speaker 1: sort of his colloquial That was just like his thing, 114 00:06:45,200 --> 00:06:49,280 Speaker 1: just saying vern That was just that vernacular thing. Yeah, 115 00:06:49,680 --> 00:06:52,960 Speaker 1: it's the it's the camera, it's us. We are are 116 00:06:53,360 --> 00:06:58,479 Speaker 1: the collective ver verning man. I went to burning man. 117 00:06:58,760 --> 00:07:08,359 Speaker 1: Oh my god, all, oh my god, it's three days. 118 00:07:08,880 --> 00:07:12,239 Speaker 1: We're just goes to camp. Aren't just to jail? Heavy drug? 119 00:07:13,600 --> 00:07:17,960 Speaker 1: Absolutely a dry festival. A lot of chocolate, eating tons 120 00:07:18,040 --> 00:07:24,440 Speaker 1: of milk chocolate and like bagels and gatorade. Yeah yeah, 121 00:07:24,440 --> 00:07:28,400 Speaker 1: that's a lot of products. Yeah, well, guys, I could 122 00:07:28,400 --> 00:07:33,920 Speaker 1: talk to you about burning man, but we're also some 123 00:07:33,960 --> 00:07:36,680 Speaker 1: things we're also going to talk about. There is a 124 00:07:36,680 --> 00:07:41,760 Speaker 1: new study that reveals that we all apparently want to 125 00:07:41,800 --> 00:07:46,920 Speaker 1: be influencers. Um, we're gonna talk about someone Donald Trump. 126 00:07:46,960 --> 00:07:54,120 Speaker 1: The somebody revised their bullshit story. Yeah, so kind of 127 00:07:54,120 --> 00:07:58,120 Speaker 1: made a mess. Yeah, an idiot. We are going to 128 00:07:58,120 --> 00:08:03,080 Speaker 1: look at the elections that happened last night, two nights ago. Uh. 129 00:08:03,360 --> 00:08:09,720 Speaker 1: We're going to talk about where the president's supporters are 130 00:08:10,000 --> 00:08:13,960 Speaker 1: with him, how come they haven't abandoned him yet? Uh? 131 00:08:14,000 --> 00:08:16,520 Speaker 1: And there's new New York Times Paul that's being used 132 00:08:16,520 --> 00:08:22,640 Speaker 1: to fully uh invalidate Bernie and Elizabeth Warren as candidates. 133 00:08:23,040 --> 00:08:26,200 Speaker 1: So I'm gonna, I don't know, look at that, look 134 00:08:26,200 --> 00:08:28,480 Speaker 1: at those numbers a little bit. Uh. And then we 135 00:08:28,560 --> 00:08:35,319 Speaker 1: might get to Starbucks holiday cups, thank God, Walkman, James 136 00:08:35,320 --> 00:08:42,280 Speaker 1: Dean thing, Watchman or Walkman, and Watchman Walkman. Uh, and 137 00:08:42,320 --> 00:08:46,440 Speaker 1: also that James Dean story. Yeah, possibly back from the dead. 138 00:08:46,960 --> 00:08:49,520 Speaker 1: But first, Johnny, we like to ask our guests, what 139 00:08:49,640 --> 00:08:51,920 Speaker 1: is something from your search history that's revealing about who 140 00:08:52,000 --> 00:08:54,839 Speaker 1: you are? I looked through this and it's all kind 141 00:08:54,840 --> 00:08:58,080 Speaker 1: of embarrassing. I feel like, um, I was doing a 142 00:08:58,120 --> 00:09:03,000 Speaker 1: deep dive on Jeremy Renner's musical career, which is um 143 00:09:03,080 --> 00:09:06,240 Speaker 1: for fans. Yeah, for a show. Was for like a character, 144 00:09:07,200 --> 00:09:09,480 Speaker 1: UM doing a lot of that. Is a character just 145 00:09:09,559 --> 00:09:11,719 Speaker 1: a huge fan. Well, it's sort of a character. He's 146 00:09:11,760 --> 00:09:14,600 Speaker 1: like this character dude who's supposed to be Chris Cornell's son. 147 00:09:15,240 --> 00:09:17,560 Speaker 1: He's Jake Cornell, but he's not really his son. He 148 00:09:17,640 --> 00:09:19,040 Speaker 1: has a bunch of money though, it has a bunch 149 00:09:19,040 --> 00:09:21,920 Speaker 1: of lofts and venice and he's going the real estate 150 00:09:22,000 --> 00:09:24,720 Speaker 1: and he loves, like, you know, natural things and holding 151 00:09:25,040 --> 00:09:27,960 Speaker 1: a mug of steaming tea with both hands and be like, hey, 152 00:09:28,080 --> 00:09:32,920 Speaker 1: a very cool. Yeah, wow, I wasn't listening, but I 153 00:09:33,000 --> 00:09:37,480 Speaker 1: heard you. The two hand mug holes really just cut. 154 00:09:38,400 --> 00:09:39,920 Speaker 1: That's truly. I don't know what that is, but that's 155 00:09:39,920 --> 00:09:42,360 Speaker 1: the thing. When you see something in that, it's like 156 00:09:42,440 --> 00:09:48,280 Speaker 1: substitute teacher. All right, So where are we? How was 157 00:09:48,320 --> 00:09:50,600 Speaker 1: your week? Guy? How's your week? Okay? And like, what 158 00:09:50,679 --> 00:09:52,800 Speaker 1: kind of tea is that? It's it's bone broth. Actually, 159 00:09:53,000 --> 00:09:57,280 Speaker 1: it's bone broth with came Mill and Pusey, a proprietary 160 00:09:57,320 --> 00:10:00,520 Speaker 1: blend of mushrooms chogga rice she cortescepts and lions made 161 00:10:00,520 --> 00:10:08,079 Speaker 1: with a little what was the chaga chaga corticcepts right salt. 162 00:10:09,480 --> 00:10:12,040 Speaker 1: I don't know what chaga is. I'd say it's a 163 00:10:12,120 --> 00:10:16,960 Speaker 1: mushroom that grows in the upper upper region, cold climates. Alevation. Yeah, 164 00:10:16,960 --> 00:10:20,040 Speaker 1: it's pushed it. It's fair trade though, so don't worry. Great, 165 00:10:20,160 --> 00:10:23,160 Speaker 1: it's fully fair trade. Whenever I whenever I buy it, 166 00:10:23,160 --> 00:10:28,360 Speaker 1: I was bow. You purchased that guy? Definitely bows. I 167 00:10:28,400 --> 00:10:31,439 Speaker 1: typically bowed before the fungus is before I remove them, 168 00:10:31,880 --> 00:10:35,080 Speaker 1: acknowledge their cycle. Every time I use a toilet, I bow. 169 00:10:36,320 --> 00:10:39,440 Speaker 1: I learned that when I was visiting Tibet. Never flush, Yes, 170 00:10:39,559 --> 00:10:44,240 Speaker 1: never flush. What is something you think is underrated? I 171 00:10:44,280 --> 00:10:49,079 Speaker 1: think underrated is cold showers, cold ice shower. You know 172 00:10:49,320 --> 00:10:53,000 Speaker 1: we've had that. Take I start hot, though, you start 173 00:10:53,360 --> 00:10:57,960 Speaker 1: started down. No, I go in. I do the normal shower, 174 00:10:58,120 --> 00:11:01,640 Speaker 1: the warm shower. The don't get kind of really hot 175 00:11:01,679 --> 00:11:04,640 Speaker 1: for about ten seconds, and then you go kind of 176 00:11:04,679 --> 00:11:07,360 Speaker 1: gradually to ice. And then you get to ice and 177 00:11:07,400 --> 00:11:10,760 Speaker 1: you hold ice for at least thirty forty seconds. You 178 00:11:10,840 --> 00:11:12,559 Speaker 1: gotta make sure you lift your arms up and get 179 00:11:12,640 --> 00:11:16,120 Speaker 1: all around your legs too, and in your head and 180 00:11:16,120 --> 00:11:18,679 Speaker 1: your face, and what does that do for you? Just 181 00:11:18,800 --> 00:11:22,240 Speaker 1: like invigorating. It just just drops the hammer on the blood, 182 00:11:23,040 --> 00:11:25,600 Speaker 1: pops you up because you'll get out of the shower 183 00:11:25,720 --> 00:11:28,560 Speaker 1: and you'll be warm because you're not in the ice, 184 00:11:29,640 --> 00:11:34,719 Speaker 1: the ambient temperature. You're like, it's supposed to be really 185 00:11:34,760 --> 00:11:37,720 Speaker 1: good for your everything. I guess. Yeah. That was in 186 00:11:37,760 --> 00:11:40,160 Speaker 1: a like one of those Tim Ferris books saying like 187 00:11:40,200 --> 00:11:41,959 Speaker 1: you had to kick start with your metabolism. And I 188 00:11:42,040 --> 00:11:43,240 Speaker 1: take most of the things he says with a grain 189 00:11:43,280 --> 00:11:44,640 Speaker 1: of salt, but like it was, that's one of the 190 00:11:44,720 --> 00:11:48,120 Speaker 1: things of like starting off with like a cold shower 191 00:11:48,120 --> 00:11:50,680 Speaker 1: will help you. It's supposed to help your depression too. 192 00:11:51,440 --> 00:11:53,400 Speaker 1: I have a theory about it. I think it's probably 193 00:11:53,440 --> 00:11:56,280 Speaker 1: backed up by science. But my theory is that it 194 00:11:57,000 --> 00:12:00,360 Speaker 1: turns on your sympathetic nervous system, or I think that's 195 00:12:00,400 --> 00:12:03,000 Speaker 1: how you say it, you know, like your fight or flight, 196 00:12:03,000 --> 00:12:04,600 Speaker 1: so instead of you know how if you're in like 197 00:12:04,679 --> 00:12:09,880 Speaker 1: a warm bath, it's like, but yeah, the cold makes 198 00:12:09,880 --> 00:12:12,880 Speaker 1: you It's basically like attacking you. So it gives you 199 00:12:12,920 --> 00:12:15,520 Speaker 1: that adrenaline. It feels like you're attacked and you get 200 00:12:15,559 --> 00:12:18,320 Speaker 1: all this adrenaline, so it makes you um, it's like 201 00:12:18,400 --> 00:12:20,600 Speaker 1: basically making you fight for your life, and so you're 202 00:12:20,640 --> 00:12:22,600 Speaker 1: not depressed because you're like, no, I have to save 203 00:12:22,640 --> 00:12:25,240 Speaker 1: my life. It gives your life meaning, like this a 204 00:12:25,280 --> 00:12:30,080 Speaker 1: little bit of meaning immediately. Why do it sometimes gradually? 205 00:12:30,200 --> 00:12:33,360 Speaker 1: But it's still when the cold comes it, it doesn't 206 00:12:33,360 --> 00:12:37,520 Speaker 1: matter how gradually you get there. Yea, yeah, I can't 207 00:12:37,520 --> 00:12:40,080 Speaker 1: stop it. That's why I think is underrated at least. 208 00:12:40,120 --> 00:12:42,040 Speaker 1: I mean, it definitely is good at the very least 209 00:12:42,080 --> 00:12:44,560 Speaker 1: to wake you the funk up. I used to do 210 00:12:44,679 --> 00:12:47,920 Speaker 1: really hot showers to wake me up because I'm like, like, 211 00:12:48,679 --> 00:12:50,440 Speaker 1: I don't know because I didn't like a cold shower. 212 00:12:50,480 --> 00:12:51,880 Speaker 1: But I'm like, there has to be a way that 213 00:12:51,960 --> 00:12:54,559 Speaker 1: isn't just like a continuation of being in bed. But 214 00:12:54,600 --> 00:12:56,880 Speaker 1: with water you can just like pay somebody to like, 215 00:12:58,720 --> 00:13:01,320 Speaker 1: but when you're not expecting, have alarm clock that like 216 00:13:01,840 --> 00:13:05,120 Speaker 1: urinates in your face. Yeah, if I don't wake up, 217 00:13:05,440 --> 00:13:10,240 Speaker 1: yurin in my mouth. You know some people have a 218 00:13:10,280 --> 00:13:14,120 Speaker 1: hard time waking up. That can really get me out 219 00:13:14,120 --> 00:13:16,240 Speaker 1: of bed. Is that just the threat of having pe 220 00:13:16,400 --> 00:13:19,120 Speaker 1: in my mouth? Right then I get my ship together. 221 00:13:19,120 --> 00:13:21,520 Speaker 1: It's clearly a guy who really likes to have pe 222 00:13:21,679 --> 00:13:23,920 Speaker 1: in his mouth. Yeah, it's like, wouldn't that be a 223 00:13:23,960 --> 00:13:26,959 Speaker 1: good alarm clock? Everybody kind a warm clock. It attaches 224 00:13:26,960 --> 00:13:30,120 Speaker 1: to your sewer system that starts backpumping your toilet. Don't 225 00:13:30,120 --> 00:13:33,400 Speaker 1: wake up you have a mainline backup or I don't know, 226 00:13:33,440 --> 00:13:35,199 Speaker 1: maybe I could hook mine up to your sewer main 227 00:13:35,360 --> 00:13:37,760 Speaker 1: or something and to see how that goes. It's like, 228 00:13:37,800 --> 00:13:40,080 Speaker 1: you know those ones that have the dollar to start 229 00:13:40,160 --> 00:13:43,480 Speaker 1: shredding money if you don't wake up some warm clock. Yeah, 230 00:13:43,679 --> 00:13:45,560 Speaker 1: but that's basically what you're doing. If you're sure, if 231 00:13:45,600 --> 00:13:49,000 Speaker 1: you have like a sewer backup, that's it's out. Yeah, 232 00:13:49,160 --> 00:13:52,120 Speaker 1: that's like actually a problem you have to fix because 233 00:13:52,120 --> 00:13:53,440 Speaker 1: then you have to go out and buy your own. 234 00:13:53,840 --> 00:13:55,120 Speaker 1: That would really wake me up if I had to 235 00:13:55,160 --> 00:14:00,319 Speaker 1: stop a mainline sewer stoppage every day? Who did? What 236 00:14:00,360 --> 00:14:03,520 Speaker 1: was that show that did that recently? Was it? Maybe? 237 00:14:03,760 --> 00:14:06,440 Speaker 1: Was it a Nathan for You episode? Something where people 238 00:14:06,679 --> 00:14:09,160 Speaker 1: wanted to like stick to their diets and if they didn't, 239 00:14:09,600 --> 00:14:16,160 Speaker 1: they would email like a terrible when it's like say 240 00:14:16,200 --> 00:14:19,360 Speaker 1: something really fucked up about your boss on camera or something, 241 00:14:19,440 --> 00:14:21,240 Speaker 1: and then like okay, now if you if you don't 242 00:14:21,280 --> 00:14:23,920 Speaker 1: lose this weight by this date, this email will be 243 00:14:23,960 --> 00:14:26,120 Speaker 1: sent to your boss. That's actually way better than the 244 00:14:26,200 --> 00:14:28,880 Speaker 1: financial one because the financial one it's like it's just 245 00:14:29,000 --> 00:14:33,160 Speaker 1: it's just money versus your livelihood. Yeah, you can't ever 246 00:14:33,400 --> 00:14:36,640 Speaker 1: take back the thing you said. Although one woman failed 247 00:14:36,760 --> 00:14:39,080 Speaker 1: and then she's like, I gotta let you know this thing. 248 00:14:39,200 --> 00:14:41,240 Speaker 1: This video was sent to you and it was like, 249 00:14:41,320 --> 00:14:46,520 Speaker 1: oh okay, but it was pretty crazy. Yeah, just like 250 00:14:46,560 --> 00:14:50,400 Speaker 1: accusing being racist or yeah yeah the video. It will 251 00:14:50,440 --> 00:14:52,720 Speaker 1: be even better is if you said something racist. It's 252 00:14:52,720 --> 00:14:54,720 Speaker 1: like you have to say something racist. We don't know, 253 00:14:54,760 --> 00:14:57,640 Speaker 1: we're not racist. You have to say that. It was 254 00:14:57,720 --> 00:15:00,720 Speaker 1: everyone's fear. So it was different other people and I'm 255 00:15:00,720 --> 00:15:02,520 Speaker 1: like I would want to my boss to see something 256 00:15:02,560 --> 00:15:04,160 Speaker 1: like this. I'm like, please don't send this stuff to 257 00:15:04,200 --> 00:15:06,800 Speaker 1: my kids. Another guy like posed like half nude is 258 00:15:06,840 --> 00:15:08,880 Speaker 1: like a hot dog, and like, don't send this to 259 00:15:08,920 --> 00:15:14,000 Speaker 1: my mother. Right, everyone had their own limits. Basically, he 260 00:15:14,120 --> 00:15:17,560 Speaker 1: also had the escape trick where if he didn't get 261 00:15:17,600 --> 00:15:21,520 Speaker 1: out of a straight jacket in time down the front 262 00:15:21,520 --> 00:15:25,280 Speaker 1: of children from there for you be a sexual predator, 263 00:15:25,800 --> 00:15:29,040 Speaker 1: what you call yeah, a bad guy? Bad bad guy? 264 00:15:30,440 --> 00:15:33,880 Speaker 1: What is something you think is overrated, Johnny, Oh, I 265 00:15:33,920 --> 00:15:36,600 Speaker 1: just thought about this today and it really hit the spot. Uh, 266 00:15:36,880 --> 00:15:39,480 Speaker 1: like really nice toilet paper, the kind OF's like super 267 00:15:39,520 --> 00:15:44,280 Speaker 1: fluffy thick. Yeah, like a hand towel, basically a hand towel, 268 00:15:44,280 --> 00:15:46,760 Speaker 1: like the hand toel version of a roll on a roll. 269 00:15:47,360 --> 00:15:50,080 Speaker 1: That stuff is so bad. I can't believe it in 270 00:15:50,160 --> 00:15:52,520 Speaker 1: terms of what like how thick it is bad like 271 00:15:52,560 --> 00:15:55,160 Speaker 1: it does it's too much. You don't need that much. 272 00:15:55,720 --> 00:15:58,040 Speaker 1: It's like it doesn't do a good job of cleaning 273 00:15:58,800 --> 00:16:02,800 Speaker 1: too off. Sometimes you don't need a cloud to wipe 274 00:16:02,800 --> 00:16:05,600 Speaker 1: your eye. You need something. You need some Scott, you 275 00:16:05,640 --> 00:16:09,840 Speaker 1: need some it's got some grit to Yeah, I've been recently, Yeah, 276 00:16:09,880 --> 00:16:12,880 Speaker 1: I've I've I've hit the both sides of the spectrum before. 277 00:16:13,120 --> 00:16:16,480 Speaker 1: Just pillow soft toilet paper, which in a way it 278 00:16:16,560 --> 00:16:19,880 Speaker 1: doesn't really have the kind of structural integrity you need 279 00:16:19,920 --> 00:16:21,880 Speaker 1: to for like if you really have one of those 280 00:16:21,880 --> 00:16:23,760 Speaker 1: ships where you have to keep wiping. I mean the 281 00:16:23,760 --> 00:16:26,400 Speaker 1: good stuff does. Yeah, I guess so maybe I'm just buying. 282 00:16:26,760 --> 00:16:29,680 Speaker 1: I guess it's cotton. It's it's old witch hair now 283 00:16:29,880 --> 00:16:34,440 Speaker 1: when the spider web stuff. But then like if it's 284 00:16:34,480 --> 00:16:36,720 Speaker 1: to papery. Then it's like then it's a little bit 285 00:16:36,720 --> 00:16:41,680 Speaker 1: of a torture job your sphincter. It's definitely like more uncomfortable. 286 00:16:41,720 --> 00:16:44,840 Speaker 1: But I actually don't know which one is technically better 287 00:16:45,160 --> 00:16:49,520 Speaker 1: at wipe Okay, the rough stuff is rough stuff. Yeah, 288 00:16:49,560 --> 00:16:52,880 Speaker 1: even stuff that basically feels like the toilet seat cover. Yeah. 289 00:16:52,880 --> 00:16:55,720 Speaker 1: I've actually a host about to say I've many times. Yeah, 290 00:16:55,920 --> 00:16:58,480 Speaker 1: I've used those so many times recently. What's the thing 291 00:16:58,520 --> 00:17:01,040 Speaker 1: where I didn't even think, I said, but oh your 292 00:17:01,120 --> 00:17:03,680 Speaker 1: number toilet paper. There is something here provided by the 293 00:17:03,720 --> 00:17:12,000 Speaker 1: management for my protection underwear. Yeah exactly, that stuff is 294 00:17:12,040 --> 00:17:17,959 Speaker 1: better better because it's better to have a clean anus. 295 00:17:18,480 --> 00:17:22,600 Speaker 1: And there's the heavy um comfortable and unscathed as anus 296 00:17:22,640 --> 00:17:25,960 Speaker 1: that is dirty. Yeah. Yeah, you gotta give your anus 297 00:17:25,960 --> 00:17:29,440 Speaker 1: some character. So I think that's gonna Benjamin Franklin sayings 298 00:17:29,520 --> 00:17:34,800 Speaker 1: from Port Richard's Almanac. Poor. Yeah, exactly. Well, I think 299 00:17:34,800 --> 00:17:36,879 Speaker 1: that's why the bidet really like because I always think 300 00:17:36,920 --> 00:17:38,760 Speaker 1: about you know, sometimes you get those ones it's a 301 00:17:38,840 --> 00:17:41,879 Speaker 1: never ending wipe ye any w you know, or it 302 00:17:41,880 --> 00:17:44,480 Speaker 1: gets the piece of paper, the p O P. Those 303 00:17:44,520 --> 00:17:46,480 Speaker 1: are my favorite somehow, when you're like how did this come? 304 00:17:46,480 --> 00:17:52,000 Speaker 1: Out clean. I fully evacuated, and there is no ski Wow. 305 00:17:52,040 --> 00:17:56,040 Speaker 1: God works a mysterious way. Yea. If anyone's professional things 306 00:17:56,240 --> 00:17:57,280 Speaker 1: how to do that? Let me know how do I 307 00:17:57,359 --> 00:17:59,280 Speaker 1: keep that going? When that happens? Do you point out 308 00:17:59,520 --> 00:18:03,080 Speaker 1: at the sky? I get down on my knees and pray. 309 00:18:03,359 --> 00:18:07,600 Speaker 1: Oh you trickster? All right? Whatever I thought you abandoned 310 00:18:07,680 --> 00:18:11,760 Speaker 1: me and I had right to church, and I thought 311 00:18:11,800 --> 00:18:17,160 Speaker 1: it was gonna be a bad day. Yeah, And like, sir, sir, 312 00:18:17,359 --> 00:18:19,040 Speaker 1: you need to come out of the dressing room. Well, 313 00:18:19,119 --> 00:18:23,560 Speaker 1: it's breakfast now. I guess a vote in favor of 314 00:18:23,640 --> 00:18:27,040 Speaker 1: waxed assholes? Is that happens to young kids all the time. 315 00:18:27,240 --> 00:18:31,479 Speaker 1: It's just one yeah, no wipe no, Like you just 316 00:18:31,560 --> 00:18:36,159 Speaker 1: don't just slide right off wax assholes or something in 317 00:18:36,200 --> 00:18:39,160 Speaker 1: my diet. Let me know. There you go. Uh And finally, 318 00:18:39,160 --> 00:18:41,119 Speaker 1: what's a myth? What's something people think it's true? You 319 00:18:41,119 --> 00:18:44,840 Speaker 1: know to be false? Man? I think that I don't 320 00:18:45,080 --> 00:18:47,760 Speaker 1: Everything I could think about it was like it's I 321 00:18:47,800 --> 00:18:52,200 Speaker 1: don't know. I actually just don't know anymore. What I 322 00:18:52,359 --> 00:18:55,760 Speaker 1: just don't know. I think that half of this that 323 00:18:55,840 --> 00:19:01,720 Speaker 1: sharks are dangerous, not all sharks, not sharks. Yeah, some 324 00:19:02,320 --> 00:19:04,560 Speaker 1: do you like sharks? I love I love sharks. I 325 00:19:04,600 --> 00:19:08,320 Speaker 1: love animals. I love the animals that get a bad rap. 326 00:19:08,800 --> 00:19:11,440 Speaker 1: Oh wow, any animal it's like people don't like him 327 00:19:11,480 --> 00:19:15,159 Speaker 1: like I like it. Yeah. Yeah, that elephant named Rosama 328 00:19:15,240 --> 00:19:20,240 Speaker 1: bin Laden, Well, I like it. Is there a favorite shark? 329 00:19:20,280 --> 00:19:23,320 Speaker 1: You have a favorite shark? Probably the well, I guess 330 00:19:23,320 --> 00:19:25,760 Speaker 1: it's not true. Shark, the whale sharks, whale sharks, it's 331 00:19:25,800 --> 00:19:30,080 Speaker 1: so cool. What about hammer heads? Hammer heads are pretty great. Yeah. 332 00:19:30,200 --> 00:19:32,840 Speaker 1: Remember shark bites, Oh my god, you can. It's the 333 00:19:32,840 --> 00:19:34,879 Speaker 1: best flavor. I used to just always remember when I 334 00:19:35,160 --> 00:19:37,719 Speaker 1: shark bites. Just leave the great whites for the end. 335 00:19:38,440 --> 00:19:40,920 Speaker 1: The best flavor too. Yeah, I haven't thought about shark 336 00:19:40,960 --> 00:19:43,640 Speaker 1: bites in a long time. I think about him every day. 337 00:19:44,600 --> 00:19:47,960 Speaker 1: That an Ecto cooler shark bites still available, I'm sure, 338 00:19:48,040 --> 00:19:50,000 Speaker 1: because I mean fruit by the foot. Still, I have 339 00:19:50,040 --> 00:19:52,560 Speaker 1: a feeling a lot of those things. I mean, it'd 340 00:19:52,560 --> 00:19:54,040 Speaker 1: be funny if, like you say, they're on kids are 341 00:19:54,119 --> 00:19:57,560 Speaker 1: like what my grandpa? Shark bites. Oh, I don't know, 342 00:19:57,600 --> 00:20:00,119 Speaker 1: because when you google shark bites, it's some it I 343 00:20:00,160 --> 00:20:05,320 Speaker 1: don't want to see. I got an actual myth. You 344 00:20:05,440 --> 00:20:08,360 Speaker 1: cut down a guava tree and grind the stump. It's 345 00:20:08,400 --> 00:20:11,160 Speaker 1: not dead. Huh do you think it's dead? But it's 346 00:20:11,359 --> 00:20:14,360 Speaker 1: next thing. You know, It's coming up everywhere. It's coming 347 00:20:14,359 --> 00:20:18,640 Speaker 1: to the fucking driveway. Huh. So what happened? You gotta 348 00:20:18,800 --> 00:20:21,800 Speaker 1: unruly guavatry? Oh yeah, I had no idea that that invasive. 349 00:20:22,600 --> 00:20:25,640 Speaker 1: That's incredibly invasive. I can't believe it. I'm just blown 350 00:20:25,680 --> 00:20:30,320 Speaker 1: away by the persistence of this root stock in the ground. Yeah. Yeah, 351 00:20:30,560 --> 00:20:33,960 Speaker 1: I just can't kill him. Can't kill the gua unkillable guava, 352 00:20:34,240 --> 00:20:41,040 Speaker 1: can't kill the guava. Alright, let's check in real quick 353 00:20:41,160 --> 00:20:46,960 Speaker 1: with this poll that asked the question why become an influencer? 354 00:20:47,080 --> 00:20:48,800 Speaker 1: And do you want to? Even? Yeah, do you want 355 00:20:48,800 --> 00:20:52,320 Speaker 1: to become an influence? They asked fucking two thousand people 356 00:20:53,040 --> 00:20:55,800 Speaker 1: from age thirteen to thirty eight. Just you get gen 357 00:20:55,920 --> 00:20:58,480 Speaker 1: z and millennials. You know, do you would you be 358 00:20:58,640 --> 00:21:02,640 Speaker 1: interested in influencing? Eight six percent people said I'm down 359 00:21:02,680 --> 00:21:06,760 Speaker 1: to trout some influencing. Yeah, but only twelve percent of 360 00:21:06,760 --> 00:21:10,960 Speaker 1: the respondents considered themselves should be influencers. Okay, what isn't that? 361 00:21:11,080 --> 00:21:14,960 Speaker 1: Literally U and twelve isn't that a hundred, No, that's 362 00:21:15,040 --> 00:21:18,640 Speaker 1: ninety eight. Okay, there you go, just checking you know. Uh, wow, 363 00:21:18,720 --> 00:21:21,880 Speaker 1: that was cool. I just literally did Wow. I can't 364 00:21:21,920 --> 00:21:25,440 Speaker 1: believe I fail in such simple math. Publicly failed a 365 00:21:25,560 --> 00:21:28,320 Speaker 1: simple math. It's right, it's close. Yeah, well, I don't 366 00:21:28,320 --> 00:21:30,560 Speaker 1: know if that's which. I don't think the question was 367 00:21:30,760 --> 00:21:32,359 Speaker 1: would you want to or are you? But I'm just 368 00:21:32,400 --> 00:21:35,080 Speaker 1: saying within that group, only twelve percent considered themselves to 369 00:21:35,080 --> 00:21:37,560 Speaker 1: be influencers. When you look at the reasons why. The 370 00:21:37,680 --> 00:21:41,639 Speaker 1: biggest reason, the driver for gen Z was to make 371 00:21:41,720 --> 00:21:46,240 Speaker 1: a difference, which was very interesting millennials. Only forty percent 372 00:21:46,760 --> 00:21:49,920 Speaker 1: were interested to make a difference when it came to flexibility, 373 00:21:50,080 --> 00:21:53,479 Speaker 1: like out flexible hours. That's the thing where millennials were 374 00:21:53,560 --> 00:21:57,160 Speaker 1: most interested in. Where the flexible hours of somebody was interesting. 375 00:21:57,359 --> 00:21:59,800 Speaker 1: Oh no, millennial Yeah, yeah, yeah. Gen Z was in 376 00:22:00,040 --> 00:22:02,719 Speaker 1: and making a difference, and they were pretty much there 377 00:22:02,760 --> 00:22:04,440 Speaker 1: were there were a lot of I mean, there were 378 00:22:04,560 --> 00:22:07,640 Speaker 1: slight differences between the two, but fifty percent of gen 379 00:22:07,720 --> 00:22:10,119 Speaker 1: Z were only interested for money. Fifty eight percent of 380 00:22:10,240 --> 00:22:12,399 Speaker 1: millennials were interested because of money, and then when it 381 00:22:12,480 --> 00:22:15,760 Speaker 1: came to fame less than for both they weren't interested 382 00:22:15,760 --> 00:22:17,880 Speaker 1: in the fame. I solved the puzzle. I know what's 383 00:22:17,880 --> 00:22:20,320 Speaker 1: going on here, okay. And I think this is generational 384 00:22:20,440 --> 00:22:23,080 Speaker 1: so much as literally the age of the people being asked, 385 00:22:25,160 --> 00:22:29,040 Speaker 1: if you're under eighteen, you do want to make a difference, 386 00:22:29,640 --> 00:22:31,800 Speaker 1: because you don't. You haven't lived without a job for 387 00:22:31,960 --> 00:22:35,680 Speaker 1: ten years, yet I'm trying to make a difference in 388 00:22:35,760 --> 00:22:38,239 Speaker 1: my fucking bank account. It's like, uh, yeah, I want 389 00:22:38,280 --> 00:22:40,240 Speaker 1: to make a difference too, but I need a little 390 00:22:40,320 --> 00:22:42,879 Speaker 1: help first. Yeah. Well, I think at the end of 391 00:22:42,880 --> 00:22:44,639 Speaker 1: the day though, too, like just because I think it's 392 00:22:44,680 --> 00:22:48,200 Speaker 1: a combination of not no one has a realistic like 393 00:22:48,400 --> 00:22:51,119 Speaker 1: plan or a good vision of what their future can 394 00:22:51,160 --> 00:22:54,240 Speaker 1: be workwise, and then influencing seems to be the one 395 00:22:54,320 --> 00:22:57,320 Speaker 1: that we're most bombarded with. If you're really on social media, 396 00:22:57,800 --> 00:23:00,840 Speaker 1: that like that has become like like the new rock star. 397 00:23:01,359 --> 00:23:03,600 Speaker 1: I'm sure if you asked baby boomers right, like my 398 00:23:03,760 --> 00:23:05,280 Speaker 1: dad would have been like, I wanted to be a 399 00:23:05,600 --> 00:23:08,800 Speaker 1: rock star. Yeah, And that's why the eighties, like everyone's like, oh, 400 00:23:08,840 --> 00:23:11,119 Speaker 1: the fucking rockstar, you know, that was that ship, Whereas 401 00:23:11,119 --> 00:23:13,240 Speaker 1: now it's like I just want to travel for free 402 00:23:13,760 --> 00:23:17,680 Speaker 1: and maybe get some free drinks, look like I'm having 403 00:23:17,920 --> 00:23:21,840 Speaker 1: a good time for a living. Yeah, I'm sure, because 404 00:23:21,880 --> 00:23:24,320 Speaker 1: that's what everyone it's the mirage of influencers. But I 405 00:23:24,359 --> 00:23:28,399 Speaker 1: guess when you also look at how like advertisers are 406 00:23:28,480 --> 00:23:32,320 Speaker 1: slowly like realizing traditional ship isn't working that maybe that 407 00:23:32,480 --> 00:23:34,119 Speaker 1: is just like I mean, because we're also in this. 408 00:23:34,520 --> 00:23:36,680 Speaker 1: Both millennials and gen z were of this idea of 409 00:23:36,760 --> 00:23:41,360 Speaker 1: like we're commodifying ourselves now, and that's part of that process. 410 00:23:41,440 --> 00:23:45,520 Speaker 1: I guess what what technically because money seems to be 411 00:23:45,640 --> 00:23:48,480 Speaker 1: such a big part of it is what's the average 412 00:23:48,520 --> 00:23:51,679 Speaker 1: income of an influencer? Depends on how big you are? 413 00:23:52,400 --> 00:23:54,359 Speaker 1: I don't know what what is an influencer? How do 414 00:23:54,400 --> 00:23:56,480 Speaker 1: you become an influx At what point are you? I'm 415 00:23:56,480 --> 00:24:03,040 Speaker 1: an influencer, Um, we're all ones if it. Yeah, I'm 416 00:24:03,040 --> 00:24:06,320 Speaker 1: an under the influencer. I just upload videos and me 417 00:24:06,440 --> 00:24:13,840 Speaker 1: fucked up the snapchat like that one scrap chap um. 418 00:24:14,440 --> 00:24:16,400 Speaker 1: But the fame part, I realized, it's interesting to see 419 00:24:16,440 --> 00:24:18,200 Speaker 1: that not as many people because like I don't know, 420 00:24:18,480 --> 00:24:19,879 Speaker 1: when I was a kid, I thought I wanted to 421 00:24:19,920 --> 00:24:22,280 Speaker 1: be famous as I wanted like I was like, yeah, 422 00:24:22,320 --> 00:24:25,760 Speaker 1: that'll be fucking sick. And then as you get older 423 00:24:25,960 --> 00:24:28,720 Speaker 1: around more people who's like lives are like that, You're like, 424 00:24:29,280 --> 00:24:30,879 Speaker 1: I just don't want to talk to anybody, and I 425 00:24:30,920 --> 00:24:34,840 Speaker 1: don't want anybody to like be like hey, dude, Yeah, 426 00:24:35,640 --> 00:24:39,520 Speaker 1: although that that just seems like also like what you 427 00:24:39,600 --> 00:24:43,360 Speaker 1: would admit publicly like that you know you don't want 428 00:24:43,359 --> 00:24:46,480 Speaker 1: to be famous. Yeah, yeah, it's not. It's not about fame. 429 00:24:48,119 --> 00:24:51,920 Speaker 1: I want to travel to exotic locations to make a difference, dude. 430 00:24:51,920 --> 00:24:54,440 Speaker 1: I want to go to the mal Dives and be 431 00:24:54,560 --> 00:24:57,560 Speaker 1: in one of those sick guys bungalow hotels. Some I 432 00:24:57,640 --> 00:25:00,520 Speaker 1: heard something years, maybe last year about how there's some 433 00:25:00,920 --> 00:25:06,199 Speaker 1: Maldives hotel bungalow floating hotel owner who is like, stop 434 00:25:06,359 --> 00:25:10,880 Speaker 1: asking me for free stays. Influencers. I'm sure, like I'm 435 00:25:10,920 --> 00:25:13,199 Speaker 1: not no one, You're done, everyone's done. I think if 436 00:25:13,200 --> 00:25:17,080 Speaker 1: you distilled the influencer's life down to one photo, it's 437 00:25:17,119 --> 00:25:20,480 Speaker 1: a person doing like the hand behind them, like pulling 438 00:25:20,520 --> 00:25:24,359 Speaker 1: a camera with them towards like a plunge pool in 439 00:25:24,440 --> 00:25:28,800 Speaker 1: the Maldives with like a big hat on and in 440 00:25:28,880 --> 00:25:33,080 Speaker 1: a way back. I got one of those things already, 441 00:25:33,160 --> 00:25:37,199 Speaker 1: So hit me up for that spam con. All right, 442 00:25:37,240 --> 00:25:39,280 Speaker 1: we're gonna take a quick break. We'll be right back. 443 00:25:49,400 --> 00:25:51,680 Speaker 1: And we're back, and it's time to check in with 444 00:25:51,760 --> 00:25:55,320 Speaker 1: the impeachment inquiry. I'm talking about impeaching dis creed. So 445 00:25:56,320 --> 00:26:01,520 Speaker 1: Gordon Snlin, who is the guy who donated a million 446 00:26:01,560 --> 00:26:04,720 Speaker 1: dollars and became the ambassador to the EU, uh and 447 00:26:04,800 --> 00:26:09,680 Speaker 1: then came out very strongly in opposition to the very 448 00:26:09,920 --> 00:26:14,679 Speaker 1: implication that Donald Trump was exchanging no quid pro quote. 449 00:26:14,680 --> 00:26:22,720 Speaker 1: No quid pro quote. Yeah, but but then uh, a 450 00:26:22,800 --> 00:26:26,480 Speaker 1: couple of days ago he came back and was like, oh, 451 00:26:27,200 --> 00:26:33,040 Speaker 1: quid pro quote right, Okay, okay, so that happened, So yeah, 452 00:26:33,080 --> 00:26:35,560 Speaker 1: that for sure. What did he think? They said, Well, 453 00:26:35,680 --> 00:26:37,800 Speaker 1: I think the problem is right prior to this, like 454 00:26:37,880 --> 00:26:39,920 Speaker 1: with the Mother stuff, a lot of people were testifying 455 00:26:39,960 --> 00:26:43,800 Speaker 1: in public, so it's kind of easy to coordinate people's testimony. 456 00:26:44,119 --> 00:26:47,119 Speaker 1: But when everything's behind closed doors, it keeps people. You know, 457 00:26:47,240 --> 00:26:49,399 Speaker 1: they weren't quite sure because once Soilon went out and 458 00:26:49,480 --> 00:26:53,840 Speaker 1: everyone else contradicted him, he's like, fuck, okay, fuck. I 459 00:26:53,920 --> 00:26:56,399 Speaker 1: think he realized too. At first he was like a 460 00:26:56,480 --> 00:26:58,720 Speaker 1: great fall guy for Trump. That thing. He'd be like, yeah, 461 00:26:58,720 --> 00:27:00,280 Speaker 1: I don't know what this guy was doing. But then 462 00:27:00,640 --> 00:27:03,440 Speaker 1: this guy Gordon Solomon, he's I think he's in like 463 00:27:03,520 --> 00:27:07,639 Speaker 1: hotels or something. Yeah, he realized basically there's life after 464 00:27:08,000 --> 00:27:11,159 Speaker 1: this racist ship show. So I was like, maybe I 465 00:27:11,280 --> 00:27:15,360 Speaker 1: shouldn't totally fucking sell phone like this in lie to Congress. 466 00:27:15,840 --> 00:27:19,560 Speaker 1: Um And then yes, ended the no quid pro core 467 00:27:19,680 --> 00:27:22,399 Speaker 1: argument pretty much. Um. As he was questioned, they were 468 00:27:22,400 --> 00:27:25,480 Speaker 1: saying there were demands, weren't there that an investigation take 469 00:27:25,520 --> 00:27:29,080 Speaker 1: place of sixteen or Barisma? Ultimately those word demands were 470 00:27:29,119 --> 00:27:32,800 Speaker 1: they not? His answer ultimately yes, But I think you said, 471 00:27:32,800 --> 00:27:35,240 Speaker 1: Ambassador that over time things got more and more insidious. 472 00:27:35,240 --> 00:27:37,359 Speaker 1: I think those were your words that started out started 473 00:27:37,359 --> 00:27:39,320 Speaker 1: out with no condition, and then there was a condition 474 00:27:39,359 --> 00:27:41,879 Speaker 1: for investigation into the corruption, and then there was a 475 00:27:41,960 --> 00:27:45,560 Speaker 1: condition of an investigation in and Barisma, And then on 476 00:27:45,640 --> 00:27:48,360 Speaker 1: the call itself it became clear the condition was investigation 477 00:27:48,400 --> 00:27:50,359 Speaker 1: of teen and the bidens. I think you described that 478 00:27:50,400 --> 00:27:52,919 Speaker 1: as becoming more and more in cities. Correct, that's correct. 479 00:27:53,680 --> 00:27:56,640 Speaker 1: Then literally went on where he was just basically being like, Yep, 480 00:27:56,760 --> 00:27:59,119 Speaker 1: that happened. And and then as then she said, I 481 00:27:59,200 --> 00:28:02,359 Speaker 1: now recalled spe individually with Mr Yourmack who was a 482 00:28:02,480 --> 00:28:06,240 Speaker 1: Ukrainian official, where I said resumption of us AID would 483 00:28:06,320 --> 00:28:11,040 Speaker 1: likely not occur until Ukraine provided the public anti corruption 484 00:28:11,200 --> 00:28:14,680 Speaker 1: statement that we had been discussing for many weeks. So 485 00:28:14,840 --> 00:28:17,359 Speaker 1: it was just he he just had his memory jogged, 486 00:28:17,680 --> 00:28:24,359 Speaker 1: had it fully jarred? Oh ship you guys, Oh just 487 00:28:25,400 --> 00:28:32,520 Speaker 1: I just remembered Barima, Oh Barisma. I thought you said barista. Yeah, 488 00:28:32,680 --> 00:28:37,520 Speaker 1: I was like, anything about talking about Starbucks. Yeah, you 489 00:28:37,600 --> 00:28:40,239 Speaker 1: guys are over here talking. I think I don't think 490 00:28:40,320 --> 00:28:43,520 Speaker 1: Hunter Biden works as a barista. What he should just 491 00:28:43,600 --> 00:28:48,400 Speaker 1: said is I'm sorry, I haven't had my coffee yet. Guys, 492 00:28:48,680 --> 00:28:50,880 Speaker 1: don't even talk to me. Don't even talk to me, 493 00:28:51,000 --> 00:28:53,360 Speaker 1: because when we did that other thing, I hadn't had 494 00:28:53,440 --> 00:28:56,520 Speaker 1: my coffee yet. So I'm able to say just about 495 00:28:56,560 --> 00:29:01,680 Speaker 1: anything until I get my coffee. Old disclosure needed my cough. Okay. 496 00:29:02,200 --> 00:29:04,600 Speaker 1: So yeah, that has basically put an end to the 497 00:29:04,720 --> 00:29:08,160 Speaker 1: no quid pro quoil argument um. But so that has 498 00:29:08,200 --> 00:29:12,120 Speaker 1: not stopped all Republicans have then turned around and been like, oh, sorry, 499 00:29:12,200 --> 00:29:14,360 Speaker 1: we were wrong. Well it's funny if you think about it. 500 00:29:14,480 --> 00:29:16,520 Speaker 1: Prior to this, right when the story first came out, 501 00:29:17,280 --> 00:29:19,880 Speaker 1: it's interesting to see how Republicans are threatening that needle 502 00:29:19,960 --> 00:29:21,920 Speaker 1: because they thought, I'm sure they didn't know what the 503 00:29:21,960 --> 00:29:24,200 Speaker 1: full facts were and probably figured how whatever we can 504 00:29:24,320 --> 00:29:28,200 Speaker 1: dance around this thing. Because on Fox and Friends in September, uh, 505 00:29:28,320 --> 00:29:31,280 Speaker 1: they said this because if the President said, you know, 506 00:29:31,520 --> 00:29:33,480 Speaker 1: I'll give you the money, but you got to investigate 507 00:29:33,560 --> 00:29:37,880 Speaker 1: Joe Biden, that is really off the rails wrong. But 508 00:29:38,040 --> 00:29:40,560 Speaker 1: if it's something else, you know, it would be nice 509 00:29:40,600 --> 00:29:44,520 Speaker 1: to know what it is. Oh huh. Until today when 510 00:29:44,960 --> 00:29:46,880 Speaker 1: they had Kelly a. Conway on and they were sort 511 00:29:46,880 --> 00:29:49,400 Speaker 1: of like, what do what do we do? Kelly, like 512 00:29:49,920 --> 00:29:52,040 Speaker 1: in the thing, he said there was and she's like, 513 00:29:52,120 --> 00:29:54,800 Speaker 1: well there was no quid pro qu wait really that's 514 00:29:54,800 --> 00:29:57,920 Speaker 1: what she said. But again that's because they're they're being 515 00:29:58,360 --> 00:30:01,520 Speaker 1: very very narrow about how they're looking at it. They're 516 00:30:01,640 --> 00:30:05,320 Speaker 1: really holding on to Kurt Volker's testimony where he said 517 00:30:05,560 --> 00:30:08,760 Speaker 1: he was not aware of a quid pro quo, and 518 00:30:09,160 --> 00:30:11,440 Speaker 1: because of that, they're saying like, well he said there wasn't. 519 00:30:11,480 --> 00:30:14,160 Speaker 1: It's like no, no, no, stop cherry picking this ship. 520 00:30:14,680 --> 00:30:17,280 Speaker 1: He said he was not aware. That doesn't contradict what 521 00:30:17,400 --> 00:30:19,160 Speaker 1: these people who were all up in it are saying. 522 00:30:19,840 --> 00:30:22,240 Speaker 1: Um so it's it's a little bit uh, it's a 523 00:30:22,280 --> 00:30:26,800 Speaker 1: little murky, and there's no smoking gun. Still yeah, it's like, well, 524 00:30:26,880 --> 00:30:31,400 Speaker 1: there's a smoking gun, but is it. I'm gonna go, well, 525 00:30:31,480 --> 00:30:33,920 Speaker 1: this is the thing because Lindsay Graham now is fully 526 00:30:34,040 --> 00:30:36,080 Speaker 1: just burying his head in the sand. When he was 527 00:30:36,080 --> 00:30:38,480 Speaker 1: asked about it, because they're like Gordon Salomon basically just 528 00:30:38,520 --> 00:30:41,160 Speaker 1: completely contradicted the White House and essentially through the President 529 00:30:41,240 --> 00:30:44,320 Speaker 1: under the bus. He said, I've written the whole process off. 530 00:30:44,640 --> 00:30:46,560 Speaker 1: I think this is a bunch of bs, and will 531 00:30:46,640 --> 00:30:49,960 Speaker 1: not be reading any transcript. Wait, what's the what's a 532 00:30:50,000 --> 00:30:54,080 Speaker 1: bunch of bs? The Gordon Salomon's testimony. Yes, this is 533 00:30:54,120 --> 00:30:56,240 Speaker 1: in response to that, they're like, what do you have 534 00:30:56,360 --> 00:30:57,640 Speaker 1: you read the trans he was like, no, one, I 535 00:30:57,760 --> 00:31:00,200 Speaker 1: won't because he's like, I've written the whole process off. 536 00:31:00,320 --> 00:31:02,440 Speaker 1: There's a bunch of bs. Oh, it's a part I forgot. 537 00:31:02,480 --> 00:31:05,360 Speaker 1: It's part of the hoax, right, I just remember, yeah, 538 00:31:05,400 --> 00:31:07,080 Speaker 1: this is all the hoax, guys, I don't we talking 539 00:31:07,080 --> 00:31:09,720 Speaker 1: about this? And then when he was pressed even more 540 00:31:09,760 --> 00:31:12,640 Speaker 1: about that, this is where you know where he's at 541 00:31:12,760 --> 00:31:15,400 Speaker 1: right now in his defense of the president's strategy. This 542 00:31:15,520 --> 00:31:18,680 Speaker 1: is what His response was, I've read the transcript for myself. 543 00:31:18,760 --> 00:31:21,320 Speaker 1: I made up my own mind. Folk or the special 544 00:31:21,440 --> 00:31:24,520 Speaker 1: envoys said there was no quid pro quote. Sunderland has 545 00:31:24,600 --> 00:31:27,760 Speaker 1: changed his testimony to say he presumes her was what 546 00:31:27,920 --> 00:31:30,440 Speaker 1: I can tell you about the Trump policy towards the Ukraine, 547 00:31:30,640 --> 00:31:33,200 Speaker 1: it was incoherent. It depends on who you talked to. 548 00:31:33,760 --> 00:31:36,640 Speaker 1: They seem to be incapable of forming a quid pro quote. 549 00:31:37,040 --> 00:31:39,840 Speaker 1: So no, I find the whole process to be a sham, 550 00:31:39,960 --> 00:31:43,520 Speaker 1: and I'm not gonna legitimize it. Mmmm. The best part 551 00:31:43,520 --> 00:31:45,760 Speaker 1: of that was he did call it the Ukraine. Yeah, 552 00:31:46,040 --> 00:31:48,520 Speaker 1: the Ukraine. We were down the Ukraine for a number 553 00:31:48,520 --> 00:31:53,440 Speaker 1: of years. But yeah, to be like they're too dumb. Yeah, 554 00:31:53,760 --> 00:31:57,280 Speaker 1: that's coherent. That's where we're at. I guess, yeah, we're 555 00:31:57,360 --> 00:32:00,480 Speaker 1: running out of rope here. They're too dumb. That's why 556 00:32:00,600 --> 00:32:02,800 Speaker 1: they're just too dumb. You know. It's not a bad 557 00:32:03,200 --> 00:32:06,640 Speaker 1: it's not a bad argument in terms of like effectiveness though, 558 00:32:07,000 --> 00:32:08,840 Speaker 1: you know what I mean. However, when you have all 559 00:32:08,880 --> 00:32:11,920 Speaker 1: these people who are smart enough and know what happened 560 00:32:12,160 --> 00:32:15,160 Speaker 1: and have all this like, you know, all this information 561 00:32:15,200 --> 00:32:17,720 Speaker 1: about it, it seems like they're just too dumb to 562 00:32:17,960 --> 00:32:21,840 Speaker 1: do it in a sneaky way. Well, I've stop paying 563 00:32:21,880 --> 00:32:24,520 Speaker 1: attention to that. Yeah, it's it's all bs. I don't 564 00:32:24,560 --> 00:32:26,200 Speaker 1: know that's what he was saying. He's like, well, I've 565 00:32:26,240 --> 00:32:29,800 Speaker 1: read Kurt Volker's testimony, and I will just focus on that. 566 00:32:30,320 --> 00:32:33,560 Speaker 1: Volkers testimony wasn't like that good for the president either. No, 567 00:32:33,760 --> 00:32:36,600 Speaker 1: it's just because he wasn't willing to commit to like 568 00:32:36,960 --> 00:32:41,200 Speaker 1: really like drawing those lines, because that's the most they've 569 00:32:41,240 --> 00:32:48,160 Speaker 1: got witness him actually pay them in order for them 570 00:32:48,320 --> 00:32:50,760 Speaker 1: to do this other thing. And now we were moving 571 00:32:50,760 --> 00:32:54,080 Speaker 1: into the public testimony face. So Wednesday we'll see Bill 572 00:32:54,200 --> 00:32:57,880 Speaker 1: Taylor and another guy testify, and then or Friday of 573 00:32:57,960 --> 00:33:01,880 Speaker 1: next week, Marie Ivanovitch, what's us to find publicly Lindsay 574 00:33:01,920 --> 00:33:05,560 Speaker 1: Graham and any of those knots in the house? Oh right, right? 575 00:33:06,480 --> 00:33:09,360 Speaker 1: Which is also really wild because when you think Lindsey 576 00:33:09,400 --> 00:33:13,200 Speaker 1: Graham is the fucking chairman of the Senate Judiciary Committee, Okay, 577 00:33:13,240 --> 00:33:17,080 Speaker 1: he's a lawyer apparently, and he wouldn't and would also 578 00:33:17,280 --> 00:33:20,520 Speaker 1: potentially be a juror in a Senate impeachment trial. So 579 00:33:20,680 --> 00:33:23,680 Speaker 1: to like completely advocate your responsibilities this way, it's like 580 00:33:23,760 --> 00:33:29,040 Speaker 1: what what the This is the thing that we're now 581 00:33:29,160 --> 00:33:32,400 Speaker 1: seeing though, is that, like you know, they're only like 582 00:33:32,480 --> 00:33:35,040 Speaker 1: whistle blowers unless it's calling something out on the left. 583 00:33:35,280 --> 00:33:37,800 Speaker 1: There's no like they're They've completely and this we've been 584 00:33:37,840 --> 00:33:40,760 Speaker 1: seeing this. There's no such thing as like objectivity or 585 00:33:40,800 --> 00:33:43,320 Speaker 1: truth because if there is, then they would have to 586 00:33:43,400 --> 00:33:45,920 Speaker 1: begin to look at themselves, and they're just completely unwilling 587 00:33:45,960 --> 00:33:50,920 Speaker 1: to do that. Let's talk about election results from election 588 00:33:51,120 --> 00:33:55,840 Speaker 1: night a couple of nights ago. Uh, what happened Kentucky. 589 00:33:56,440 --> 00:34:00,360 Speaker 1: Matt Bevan the incumbent governor. He was voted though fun gout, 590 00:34:00,680 --> 00:34:03,680 Speaker 1: so he was very unpopular. He was very unpopular to 591 00:34:03,760 --> 00:34:07,200 Speaker 1: begin with, like he piste off first responders, fucking teachers 592 00:34:07,440 --> 00:34:10,160 Speaker 1: they like, and at that point the deck was stacked 593 00:34:10,160 --> 00:34:12,000 Speaker 1: against him a little bit. But then he made it 594 00:34:12,120 --> 00:34:17,880 Speaker 1: about Trump and impeachment and how the Democrats were corrupt 595 00:34:18,000 --> 00:34:21,520 Speaker 1: and trying to impeach your president. And then Trump went 596 00:34:21,760 --> 00:34:26,719 Speaker 1: to Kentucky the night before the election and basically told 597 00:34:26,760 --> 00:34:29,640 Speaker 1: people that if they didn't if Matt Bevan los Matt 598 00:34:29,719 --> 00:34:33,200 Speaker 1: Bevan lost, it would be the all time biggest loss 599 00:34:33,280 --> 00:34:35,000 Speaker 1: for anyone in the history of the world. And then 600 00:34:35,040 --> 00:34:37,360 Speaker 1: he begged them. He's like, don't let them do that 601 00:34:37,480 --> 00:34:42,880 Speaker 1: to me. Did you win? It was the worst election 602 00:34:43,000 --> 00:34:45,320 Speaker 1: in the history of ever. Really No, not really. I 603 00:34:45,360 --> 00:34:47,080 Speaker 1: mean it was close. But the fact is when you 604 00:34:47,120 --> 00:34:49,759 Speaker 1: think that that was a Trump plus thirty state, like 605 00:34:49,880 --> 00:34:52,560 Speaker 1: he won Kentucky by thirty points, how he did Yeah 606 00:34:52,880 --> 00:34:56,319 Speaker 1: that in this election, you know the Democrat edged him out. 607 00:34:56,880 --> 00:34:58,640 Speaker 1: You can look at it a couple of ways. First, 608 00:34:59,000 --> 00:35:01,560 Speaker 1: pump your brakes on the R I P. Mitch McConnell ship, 609 00:35:01,719 --> 00:35:05,000 Speaker 1: because Republicans across the state did pretty well. They did 610 00:35:05,040 --> 00:35:08,000 Speaker 1: not underperform in this specific race for governor. It was 611 00:35:08,040 --> 00:35:11,319 Speaker 1: a different story. However, if you look at the trends though, 612 00:35:11,400 --> 00:35:14,160 Speaker 1: like the suburbs though are moving to the left, and 613 00:35:14,239 --> 00:35:16,240 Speaker 1: a lot of people pointed to like in northern Kentucky, 614 00:35:16,360 --> 00:35:19,000 Speaker 1: like the Cincinnati suburbs that was sort of like a 615 00:35:19,360 --> 00:35:22,560 Speaker 1: tea Party stronghold ten years ago. Now that's trending blue. 616 00:35:22,880 --> 00:35:25,000 Speaker 1: So if you're in the Republican side of things and 617 00:35:25,080 --> 00:35:28,799 Speaker 1: you're looking like these are there's been three elections or yeah, 618 00:35:29,239 --> 00:35:31,919 Speaker 1: basically they've been huge goop losses since Trump has taken 619 00:35:32,000 --> 00:35:35,960 Speaker 1: office and no gains. So that's where I think they're 620 00:35:35,960 --> 00:35:38,160 Speaker 1: gonna have to be in thinking about what their options are. 621 00:35:38,239 --> 00:35:42,120 Speaker 1: But Matt Bevan, who is an upstanding Republican gentleman, is 622 00:35:42,160 --> 00:35:47,000 Speaker 1: not willing to concede. Yeah, because he essentially even though 623 00:35:47,040 --> 00:35:49,759 Speaker 1: the Secretary of State called it and saying, yeah, this 624 00:35:49,960 --> 00:35:52,640 Speaker 1: is the seems like Andy Basher is the clear winner. 625 00:35:52,960 --> 00:35:56,320 Speaker 1: He's like, no, there's an irregularities, but we don't know what. 626 00:35:56,440 --> 00:35:58,839 Speaker 1: Did I see all those people who didn't vote for him? Yeah, 627 00:35:58,960 --> 00:36:02,759 Speaker 1: that was the that's a regular strange I should have 628 00:36:02,880 --> 00:36:05,600 Speaker 1: one based on the vote fraud we were committing. Are 629 00:36:05,640 --> 00:36:07,360 Speaker 1: you sure? Can you imagine? That's what it was like? 630 00:36:08,520 --> 00:36:11,480 Speaker 1: We're committing massive voter friend nothing happy, um, but yeah, 631 00:36:11,760 --> 00:36:14,000 Speaker 1: so right now, because Kentucky doesn't have like an automatic 632 00:36:14,080 --> 00:36:17,600 Speaker 1: recount mechanism, he can either ask for a recount, like 633 00:36:17,719 --> 00:36:20,040 Speaker 1: a full on recount, a re canvas where like they 634 00:36:20,200 --> 00:36:23,040 Speaker 1: go to tout or the each polling place sends in 635 00:36:23,120 --> 00:36:26,439 Speaker 1: their results, or contest the election and go to court 636 00:36:26,560 --> 00:36:28,919 Speaker 1: or whatever. But he's calling up Amazon, I I sent 637 00:36:29,040 --> 00:36:33,440 Speaker 1: those shoes back wearing them. Yeah no, I no, I 638 00:36:33,560 --> 00:36:37,080 Speaker 1: repurn are different? I returned them yeah yeah yeah yeah, 639 00:36:37,320 --> 00:36:39,600 Speaker 1: well yeah, and then over you know, there was a 640 00:36:39,680 --> 00:36:43,520 Speaker 1: lot of big wins, even in Virginia in the mid terms, 641 00:36:43,800 --> 00:36:47,520 Speaker 1: came very close to taking back the state Legislature and Senate, 642 00:36:48,080 --> 00:36:49,920 Speaker 1: but came up a few seats short, and then they 643 00:36:50,000 --> 00:36:56,880 Speaker 1: finished the job on Tuesday, so they flipped, yeah, flipping control. 644 00:36:57,800 --> 00:37:01,520 Speaker 1: There's a New York Times pull that basically pitted Trump 645 00:37:01,760 --> 00:37:11,719 Speaker 1: against Biden, Elizabeth Warren, and Bernie Sanders in battleground states Michigan, Pennsylvania, Wisconsin, 646 00:37:12,000 --> 00:37:16,200 Speaker 1: and Florida and you know some other ones. And they're 647 00:37:16,320 --> 00:37:20,760 Speaker 1: basically saying that Warren did really badly in this polling. 648 00:37:21,040 --> 00:37:25,919 Speaker 1: She's you know, very unpopular compared to Biden and even 649 00:37:26,000 --> 00:37:29,840 Speaker 1: compared to Sanders um and they're they're kind of treating 650 00:37:29,880 --> 00:37:34,960 Speaker 1: it like it's, you know, a referendum on left, like 651 00:37:35,080 --> 00:37:39,360 Speaker 1: the left word tilt of the party. Uh that I 652 00:37:39,440 --> 00:37:42,600 Speaker 1: saw it being described as like Democrats are going to 653 00:37:42,760 --> 00:37:48,320 Speaker 1: lose because they overcorrected after Trump. And I don't know, 654 00:37:48,680 --> 00:37:51,439 Speaker 1: I get the point that like Biden is doing better 655 00:37:51,600 --> 00:37:57,040 Speaker 1: than Bernie and Elizabeth Warren, but basically just off name recognition, right, well, 656 00:37:57,160 --> 00:38:00,520 Speaker 1: it's partially name recognition, but they they found it. It 657 00:38:00,640 --> 00:38:04,319 Speaker 1: was also a lot of sexism with Warren. Oh, yeah, yeah, 658 00:38:04,960 --> 00:38:08,560 Speaker 1: that that seemed to be like most of it. There 659 00:38:08,680 --> 00:38:12,360 Speaker 1: was some poll that said like fort of Americans felt 660 00:38:12,440 --> 00:38:16,160 Speaker 1: that America wasn't ready for a female president. Yeah, like 661 00:38:16,360 --> 00:38:20,960 Speaker 1: or some really like a pull on Xbox Sadly, it 662 00:38:21,200 --> 00:38:23,839 Speaker 1: was like on planet Earth, they should just I think 663 00:38:23,880 --> 00:38:27,440 Speaker 1: the Democrats should do a thing where they purposefully lose, 664 00:38:28,000 --> 00:38:29,880 Speaker 1: but they do it in a way where it allows 665 00:38:30,000 --> 00:38:32,839 Speaker 1: them to guarantee a win next time. Trying to think 666 00:38:32,840 --> 00:38:34,719 Speaker 1: how this makes sense. This is like some sort of 667 00:38:34,800 --> 00:38:39,680 Speaker 1: weird like jungle warfare ship. Yeah, you like, you basically 668 00:38:39,760 --> 00:38:43,680 Speaker 1: have a candidate who wrope adopes Trump into doing some 669 00:38:43,760 --> 00:38:47,480 Speaker 1: sort like you basically get Trump to murder somebody publicly, 670 00:38:47,640 --> 00:38:52,279 Speaker 1: you get to his supporters would still like him, though, 671 00:38:52,680 --> 00:38:53,840 Speaker 1: I don't know. I'm just trying to think. I'm just 672 00:38:53,920 --> 00:38:57,279 Speaker 1: thinking on my feet here. Okay, they're gonna lose the 673 00:38:57,400 --> 00:38:59,239 Speaker 1: next election. But if we lose it, how do we 674 00:38:59,360 --> 00:39:01,040 Speaker 1: lose it in a way that will like be like 675 00:39:01,160 --> 00:39:03,400 Speaker 1: a springboard, you know what I mean, like up against 676 00:39:03,440 --> 00:39:05,560 Speaker 1: the rope so you bounce back. Well, I think people 677 00:39:05,560 --> 00:39:08,279 Speaker 1: are hoping that that intentional loss from the Democrats last 678 00:39:08,320 --> 00:39:12,920 Speaker 1: election might be the thing here hopefully. Yeah, but you 679 00:39:13,000 --> 00:39:15,160 Speaker 1: never know, you never know what this party I got 680 00:39:15,239 --> 00:39:18,360 Speaker 1: no hopes, So this is well, you're not alone. Actually, 681 00:39:18,360 --> 00:39:21,239 Speaker 1: there's another poll that said of Americans thing trouble be 682 00:39:21,239 --> 00:39:23,279 Speaker 1: re elected. Yeah, I mean it's like it's it's like 683 00:39:23,360 --> 00:39:25,879 Speaker 1: the whole expectations thing, right, if you like expect something, 684 00:39:25,960 --> 00:39:28,960 Speaker 1: you're just bound to be disappointed to where if you like, 685 00:39:29,520 --> 00:39:31,040 Speaker 1: if you kind of going to be like, Okay, it's 686 00:39:31,040 --> 00:39:34,360 Speaker 1: probably gonna happen, then if it doesn't, it's like, wow, 687 00:39:35,320 --> 00:39:38,160 Speaker 1: Well I think yeah, I think it's good to try 688 00:39:38,280 --> 00:39:42,239 Speaker 1: and uh imbue a sense of confidence and enthusiasm around 689 00:39:42,280 --> 00:39:45,640 Speaker 1: this next election because like even in that Kentucky election, 690 00:39:46,080 --> 00:39:48,880 Speaker 1: when voter turnout is high, Democrats do better, right, And 691 00:39:49,000 --> 00:39:52,640 Speaker 1: that's the whole thing we got, Like there's like about 692 00:39:52,680 --> 00:39:55,719 Speaker 1: to be seven million kids who are going to be 693 00:39:55,960 --> 00:39:59,399 Speaker 1: a voting age next year that are going to come 694 00:39:59,440 --> 00:40:03,200 Speaker 1: into the full But doesn't that doesn't happened every year though, Yeah, yeah, 695 00:40:03,200 --> 00:40:05,200 Speaker 1: But I'm saying in general, there's there, But would you 696 00:40:05,280 --> 00:40:08,200 Speaker 1: think of the sentiment generationally, like there's a lot of 697 00:40:08,480 --> 00:40:11,919 Speaker 1: like I mean that they're definitely going to be leaning 698 00:40:12,080 --> 00:40:13,879 Speaker 1: much more left than they are to the right left 699 00:40:13,920 --> 00:40:19,400 Speaker 1: as gaining voters and is losing. Yeah. Right, they give 700 00:40:19,480 --> 00:40:23,000 Speaker 1: him some xboxes or sharp bytes. So all of these, 701 00:40:23,360 --> 00:40:26,560 Speaker 1: all of these uh poll all this poll data was 702 00:40:27,800 --> 00:40:31,960 Speaker 1: manipulated in order to make it look like not college 703 00:40:32,080 --> 00:40:36,960 Speaker 1: educated white people like we're more like we're a bigger 704 00:40:37,040 --> 00:40:39,680 Speaker 1: part of it, because that's what people like. That's what 705 00:40:39,840 --> 00:40:43,359 Speaker 1: happened in That's why the polling was so far off, 706 00:40:43,600 --> 00:40:49,080 Speaker 1: is because they underestimated how many uh, non college educated 707 00:40:49,200 --> 00:40:52,040 Speaker 1: white people would vote, would come out and vote, and 708 00:40:52,160 --> 00:40:54,680 Speaker 1: so they're trying to take that into account. But I 709 00:40:54,840 --> 00:40:59,000 Speaker 1: just wonder if it's not going to be uh, you know, 710 00:40:59,080 --> 00:41:02,200 Speaker 1: I I do think a lot of Trump supporters are 711 00:41:02,280 --> 00:41:06,200 Speaker 1: going to vote and those numbers will be high. But 712 00:41:06,320 --> 00:41:10,680 Speaker 1: I feel like all the left leaning voters didn't vote 713 00:41:10,840 --> 00:41:13,719 Speaker 1: last time. And it'll be interesting because like, on one hand, 714 00:41:13,800 --> 00:41:16,200 Speaker 1: you have Republicans they're gonna have like the more circle 715 00:41:16,280 --> 00:41:19,960 Speaker 1: the wagons energy to try and defend uh their their gains, 716 00:41:20,080 --> 00:41:22,520 Speaker 1: what little gains they've had. And then the other side, 717 00:41:22,719 --> 00:41:25,400 Speaker 1: they just have people who are voting for Democrat candidates 718 00:41:25,440 --> 00:41:28,840 Speaker 1: who just want to and end the nightmare voters. So 719 00:41:28,920 --> 00:41:30,320 Speaker 1: there's a lot of you know, it could be a 720 00:41:30,520 --> 00:41:34,799 Speaker 1: clash of forces with the polls. There's also articles from 721 00:41:35,239 --> 00:41:40,200 Speaker 1: right before the election that Democrats won the landslide that 722 00:41:40,440 --> 00:41:45,000 Speaker 1: are saying that they should not tack as far left 723 00:41:45,040 --> 00:41:48,400 Speaker 1: as they're doing because they're they're becoming too extreme to 724 00:41:49,239 --> 00:41:52,560 Speaker 1: win the election. Stream. Yeah, that's like and again that's 725 00:41:52,600 --> 00:41:54,200 Speaker 1: like this ship what was it the Wall Street Journal? 726 00:41:54,320 --> 00:41:56,960 Speaker 1: Somebody put at that that piece outs like Medicare for 727 00:41:57,080 --> 00:42:00,680 Speaker 1: all could be you know, go bonkers as people might 728 00:42:00,800 --> 00:42:04,839 Speaker 1: get overtreated, right, and you're like, what the fun? Yeah, 729 00:42:04,880 --> 00:42:07,279 Speaker 1: I mean you're gonna do free healthcare. People are just 730 00:42:07,360 --> 00:42:12,399 Speaker 1: going to be you know, you might get overtreated, yeah, 731 00:42:12,440 --> 00:42:13,880 Speaker 1: because the doctor is gonna be like, wait, hold on, 732 00:42:13,960 --> 00:42:17,319 Speaker 1: you want nine more lung surgeries? Yes, symptoms from overtreatment 733 00:42:17,440 --> 00:42:20,440 Speaker 1: are yeah, which is just wild. But again, like that's 734 00:42:20,480 --> 00:42:24,160 Speaker 1: where you kind of see where the the vested interests 735 00:42:24,200 --> 00:42:27,640 Speaker 1: are in the next election, especially from a financials like 736 00:42:27,760 --> 00:42:30,520 Speaker 1: the financial stakes for some of these industries. The one 737 00:42:30,560 --> 00:42:34,399 Speaker 1: thing I do think Trump has over the elections, over 738 00:42:34,480 --> 00:42:39,400 Speaker 1: the local elections is that he like the local elections 739 00:42:39,480 --> 00:42:45,360 Speaker 1: don't have Fox News assassinating their Democratic opponent, whereas you know, 740 00:42:45,480 --> 00:42:51,279 Speaker 1: whoever the Democratic nominee is is going to just get smeared, Yeah, 741 00:42:51,400 --> 00:42:55,120 Speaker 1: NonStop on Fox News. So that's something he has going 742 00:42:55,200 --> 00:43:01,759 Speaker 1: for him. Fox and Friends, Yes, Breakfast. God, they look 743 00:43:02,040 --> 00:43:04,160 Speaker 1: weird in there every time I said that seems like 744 00:43:04,239 --> 00:43:06,799 Speaker 1: they're that's something they've been there for a long time. 745 00:43:07,440 --> 00:43:11,040 Speaker 1: That never Yeah, like they all like live on the 746 00:43:11,120 --> 00:43:13,800 Speaker 1: individual couches, they said, because they're all kind of like 747 00:43:14,440 --> 00:43:17,520 Speaker 1: glowing in a weird way, a little bit of a 748 00:43:17,600 --> 00:43:20,480 Speaker 1: sheen natural. I'd believe it if they were just robots. 749 00:43:20,840 --> 00:43:24,960 Speaker 1: Who's that one guy, the guy who's like not Greg, 750 00:43:25,440 --> 00:43:28,920 Speaker 1: the guy who's the one who's always saying the stuff 751 00:43:28,960 --> 00:43:33,120 Speaker 1: that's like, well, do you gotta think though, older gentleman, 752 00:43:33,840 --> 00:43:38,839 Speaker 1: Steve Doocy kill me, I don't even know. It's glad. 753 00:43:38,920 --> 00:43:40,440 Speaker 1: I'm glad. Don't even know. Yeah, you know, it's better. 754 00:43:40,520 --> 00:43:45,000 Speaker 1: It's healthier if you don't know them, and I do 755 00:43:45,160 --> 00:43:48,560 Speaker 1: not Doocie the younger guy kill me. I think he's 756 00:43:48,600 --> 00:43:51,239 Speaker 1: the one who's I don't wash my hands. Yeah, yeah, yeah, yeah, 757 00:43:51,600 --> 00:43:55,000 Speaker 1: what's name? What's his name? Something killed me? Brian kill me? 758 00:43:55,160 --> 00:44:01,040 Speaker 1: What a great name. That guy. That's the guy, he's 759 00:44:01,080 --> 00:44:03,960 Speaker 1: a guy who's he's always saying whatever he needs to 760 00:44:04,080 --> 00:44:08,040 Speaker 1: to that guy could get at it. He's so slippery, 761 00:44:08,560 --> 00:44:11,560 Speaker 1: he's like a Trump family member. Almost feels like because 762 00:44:11,560 --> 00:44:13,520 Speaker 1: he just does that thing where he's like, well, you know, 763 00:44:13,680 --> 00:44:17,239 Speaker 1: it's it's an aalergy. Some people we didn't know she 764 00:44:17,440 --> 00:44:19,560 Speaker 1: was alleged to broccoli. And I just feel like you 765 00:44:19,600 --> 00:44:22,520 Speaker 1: could just lie to someone's face after killing their daughters 766 00:44:23,040 --> 00:44:25,759 Speaker 1: like that. I think that's one of the that's part 767 00:44:25,800 --> 00:44:28,680 Speaker 1: of the job interview to be on Fox. God, can 768 00:44:28,719 --> 00:44:34,200 Speaker 1: you obscure this blatant murder? Shout out to Donald Trump Jr. 769 00:44:34,440 --> 00:44:38,680 Speaker 1: For putting the whistleblower in danger of being murdered by 770 00:44:38,880 --> 00:44:45,600 Speaker 1: holding him on on national Twitter. I guess appropriate drop 771 00:44:45,680 --> 00:44:48,640 Speaker 1: there like that well done, But yeah, I think it 772 00:44:48,880 --> 00:44:51,040 Speaker 1: well again, And even I don't even understand that's the 773 00:44:51,160 --> 00:44:54,279 Speaker 1: stupid obsession with the whistleblower. At this point, that ship 774 00:44:54,400 --> 00:44:56,920 Speaker 1: is mood. Yeah. You have the people that are parties 775 00:44:57,120 --> 00:44:59,560 Speaker 1: or witnesses to this that are saying like, yeah, yeah, 776 00:44:59,640 --> 00:45:03,279 Speaker 1: that's that's all happening. But it's like you might want 777 00:45:03,280 --> 00:45:06,000 Speaker 1: to look over there, and then they looked over there 778 00:45:06,120 --> 00:45:09,040 Speaker 1: and everyone's like, oh my god, there's crimes crimes everywhere. 779 00:45:09,200 --> 00:45:11,440 Speaker 1: We're all on fire and they're like that guy who 780 00:45:11,480 --> 00:45:14,239 Speaker 1: said look over there was biased. Yeah, like yeah, like 781 00:45:14,480 --> 00:45:16,640 Speaker 1: what yeah, And it's the same thing we're saying. It 782 00:45:16,719 --> 00:45:19,200 Speaker 1: was like, you get caught cheating and someone's like, oh, 783 00:45:19,280 --> 00:45:21,040 Speaker 1: well so and so told me. They're like, who told 784 00:45:21,080 --> 00:45:24,359 Speaker 1: you I was cheating? Were you cheating? Yes? But who 785 00:45:24,480 --> 00:45:27,759 Speaker 1: told you? Because that's important because that person is no 786 00:45:27,920 --> 00:45:31,040 Speaker 1: longer my friend. It's like mob stuff. It feels very 787 00:45:31,120 --> 00:45:33,799 Speaker 1: much like a mob, like not mob, like a couple 788 00:45:33,800 --> 00:45:38,279 Speaker 1: of people, but like mobsters. Yeah. Yeah, man, he's a 789 00:45:38,400 --> 00:45:41,600 Speaker 1: made man. The president's a made man. It's a made guy. 790 00:45:41,719 --> 00:45:45,040 Speaker 1: You know, you can't take down a made guy. Polly 791 00:45:45,120 --> 00:45:51,680 Speaker 1: knew this what a sad, sad Sopranos type crew. God, 792 00:45:52,320 --> 00:45:56,719 Speaker 1: oh god, you know those guys watch Sopranos and are like, 793 00:45:57,040 --> 00:45:59,960 Speaker 1: don't get the comedy of it. They're just like they're 794 00:46:00,080 --> 00:46:05,360 Speaker 1: so cool, tonlest I don't know why he likes animals 795 00:46:05,440 --> 00:46:09,000 Speaker 1: so much whatever, I think it makes them soft. That 796 00:46:09,160 --> 00:46:10,960 Speaker 1: is weird that Trump doesn't have a dog. You know. 797 00:46:11,600 --> 00:46:14,000 Speaker 1: Oh yeah, he's the only guy who doesn't have a dog. 798 00:46:14,200 --> 00:46:15,759 Speaker 1: He's the only president doesn't have a dog. Well, he 799 00:46:16,080 --> 00:46:18,319 Speaker 1: the only life form he could care for is isn't 800 00:46:18,400 --> 00:46:21,640 Speaker 1: his his own ego, so and he's probably really annoyed 801 00:46:21,680 --> 00:46:24,160 Speaker 1: anytime he's in the room with a baby or anything 802 00:46:24,280 --> 00:46:27,359 Speaker 1: like a dog, because he's getting so much attention over him, 803 00:46:27,440 --> 00:46:30,040 Speaker 1: like the kind of thing like, yeah, when like younger 804 00:46:30,200 --> 00:46:32,520 Speaker 1: people who don't have kids, like a baby's crying or something. 805 00:46:33,160 --> 00:46:35,520 Speaker 1: Is that like, or a dog barking on a Norman 806 00:46:36,360 --> 00:46:40,680 Speaker 1: doesn't have a dog, doesn't drink, never has. Yeah, those 807 00:46:40,719 --> 00:46:44,880 Speaker 1: are a classic. Those are like real telltale signs of 808 00:46:44,960 --> 00:46:51,000 Speaker 1: a robot. I could definitely root right. I could definitely 809 00:46:51,040 --> 00:46:54,560 Speaker 1: see him like a dog, getting a lot of attention 810 00:46:54,600 --> 00:46:58,800 Speaker 1: in the room and him starting to do tricks to 811 00:46:58,920 --> 00:47:02,040 Speaker 1: try and get the attention. Watch shoot me, shoot me bang. 812 00:47:04,800 --> 00:47:07,000 Speaker 1: My favorite is when he ends press conferences and he 813 00:47:07,360 --> 00:47:09,520 Speaker 1: sort of finds a way to hook stuff back into 814 00:47:09,600 --> 00:47:13,480 Speaker 1: so like his legacy or like his hotels. That stuff, 815 00:47:13,520 --> 00:47:16,960 Speaker 1: to me, it's just it's gold. It's just you can 816 00:47:17,080 --> 00:47:19,960 Speaker 1: just see the wheels turning. It's so it's so funny 817 00:47:20,000 --> 00:47:24,600 Speaker 1: to see. Okay, actually you did mention this, so I will. 818 00:47:25,040 --> 00:47:27,600 Speaker 1: They are quite good and they are very good place 819 00:47:27,680 --> 00:47:30,600 Speaker 1: to go with family of people are saying everybody says 820 00:47:32,040 --> 00:47:35,440 Speaker 1: best place to golf. All right, we're gonna take another 821 00:47:35,560 --> 00:47:48,120 Speaker 1: quick break and we'll be right back. And we're back. 822 00:47:49,360 --> 00:47:54,720 Speaker 1: And I wonder has anybody ever seen footage of Trump 823 00:47:55,080 --> 00:47:58,920 Speaker 1: interacting with a dog. Oh, that's a good one. I 824 00:47:59,040 --> 00:48:00,719 Speaker 1: feel like it would have a lot in common with 825 00:48:00,960 --> 00:48:04,080 Speaker 1: the video of him giving that candy to the kid 826 00:48:04,160 --> 00:48:06,880 Speaker 1: and putting it on top of, yeah, the costume. But 827 00:48:07,320 --> 00:48:10,240 Speaker 1: he would just like, yeah, he would just like squeeze 828 00:48:10,280 --> 00:48:17,280 Speaker 1: one of the hind legs. Nice, find meat on your bones. 829 00:48:17,560 --> 00:48:19,200 Speaker 1: Why did he put it on its head? He just 830 00:48:19,280 --> 00:48:21,480 Speaker 1: did it? Yeah, I don't know. It was very unclear. 831 00:48:21,640 --> 00:48:24,040 Speaker 1: The kid in the costume clearly had a bag for candy, 832 00:48:24,239 --> 00:48:26,399 Speaker 1: but I think because it looked like a trash can 833 00:48:28,000 --> 00:48:30,440 Speaker 1: top of your head, it didn't really look like a 834 00:48:30,480 --> 00:48:33,760 Speaker 1: trash can though, it's you're you're giving him the benefit. 835 00:48:34,480 --> 00:48:39,440 Speaker 1: Well yeah, it was like an alien just was transported 836 00:48:39,520 --> 00:48:45,360 Speaker 1: here and somebody walked up to that alien and a costume. Funny, yeah, funny. 837 00:48:45,520 --> 00:48:52,680 Speaker 1: Interesting isn't an interesting detail? Uh? Guys, I know the 838 00:48:52,800 --> 00:48:57,200 Speaker 1: holidays are here because Starbucks Holiday cups are here. They're 839 00:48:57,239 --> 00:49:02,000 Speaker 1: already here. Everyone in a good mood, already so happy. 840 00:49:02,719 --> 00:49:07,440 Speaker 1: Uh sorry, um, damn it they are. I think they're 841 00:49:07,520 --> 00:49:11,600 Speaker 1: usually controversial because they don't like put the word Christmas 842 00:49:11,719 --> 00:49:17,080 Speaker 1: on the cups or contain Christmas depictions of Christ on them. 843 00:49:18,560 --> 00:49:23,120 Speaker 1: But it's it's yeah, these are fairly straightforward. Did you 844 00:49:23,280 --> 00:49:28,000 Speaker 1: kill them to make the logo Jesus instead of whatever crucified? Yeah? 845 00:49:28,680 --> 00:49:31,719 Speaker 1: Funny man, Christmas has been been about Christ in a 846 00:49:31,920 --> 00:49:37,359 Speaker 1: hundred and fifty years. It's not about Christ two thousand years. 847 00:49:38,880 --> 00:49:41,759 Speaker 1: They're really a yanked train this year because one of 848 00:49:41,760 --> 00:49:45,799 Speaker 1: the cups says Mary Coffee, Like, what do you mean 849 00:49:45,880 --> 00:49:49,320 Speaker 1: like with an ellipsus? Yeah, no, no, it just I 850 00:49:49,400 --> 00:49:51,080 Speaker 1: was like trying to be like, are they really trying 851 00:49:51,120 --> 00:49:53,759 Speaker 1: to troll on their cups? Yeah? I mean they kept it, 852 00:49:54,120 --> 00:49:59,400 Speaker 1: uh very bland. Yeah, it's so funny that this has 853 00:49:59,400 --> 00:50:01,920 Speaker 1: only become a story because the last couple had like 854 00:50:02,040 --> 00:50:04,800 Speaker 1: evangelicals up in arms. That now it's like, hey, this 855 00:50:04,880 --> 00:50:08,200 Speaker 1: year's Starbucks cup? Did I don't go to Starbucks? Why 856 00:50:08,239 --> 00:50:09,640 Speaker 1: did I have him up in arms? So I didn't 857 00:50:09,680 --> 00:50:12,640 Speaker 1: have Jesus on there? Yeah, it's just one Christmas happy 858 00:50:13,040 --> 00:50:16,600 Speaker 1: because it's a happy Holidays instead of Merry Christmas. And 859 00:50:16,680 --> 00:50:21,399 Speaker 1: I think another one said like was specific to other 860 00:50:21,480 --> 00:50:23,239 Speaker 1: hall I don't know who gives. It's like, what the 861 00:50:23,440 --> 00:50:26,759 Speaker 1: fun bro? I thought, y'all, I thought, y'all canceled Starbucks 862 00:50:26,840 --> 00:50:31,920 Speaker 1: on the right right, people like Christmas. Though everybody likes Christmas. 863 00:50:32,239 --> 00:50:36,319 Speaker 1: You don't have to be atheists love Christmas. People are 864 00:50:36,360 --> 00:50:39,120 Speaker 1: trying to kill Christmas though. That's what you don't understand. 865 00:50:39,280 --> 00:50:44,840 Speaker 1: Man is out there in the liberal ghost. I'm a soldier. 866 00:50:44,880 --> 00:50:48,000 Speaker 1: I'm a foot soldier on Christmas. I came in here 867 00:50:48,040 --> 00:50:57,359 Speaker 1: to infiltrate your studio Christmas Christmas, and then they'll beat 868 00:50:57,440 --> 00:50:59,279 Speaker 1: the ship out of You'll be canceled. I would love 869 00:50:59,360 --> 00:51:01,880 Speaker 1: for someone to actually care about that, what they do. 870 00:51:02,560 --> 00:51:05,959 Speaker 1: Who cares about that? People care about that? Oh? People 871 00:51:06,040 --> 00:51:09,719 Speaker 1: care if you say you don't see that's the thing is, 872 00:51:09,840 --> 00:51:12,719 Speaker 1: no one cares if you say Christmas. But people know 873 00:51:13,640 --> 00:51:17,040 Speaker 1: That's that doesn't make any sense because I love Christmas, 874 00:51:17,400 --> 00:51:20,120 Speaker 1: Yeah right, I love it. I watched all the goddamn 875 00:51:20,120 --> 00:51:22,359 Speaker 1: Hallmark movies. I watch every one of them. Well, there's 876 00:51:22,360 --> 00:51:25,400 Speaker 1: about forty days of Christmas movies now it's already on. 877 00:51:25,840 --> 00:51:29,400 Speaker 1: It's alarming, but I'll watch them, yeah, because it's like 878 00:51:29,560 --> 00:51:32,440 Speaker 1: it's like valium for your eyes. Oh, if that truly 879 00:51:32,600 --> 00:51:38,640 Speaker 1: is It's Canadian valium. It's cheap and plentiful and you 880 00:51:38,680 --> 00:51:41,320 Speaker 1: can summon in an instant. But in the chief of 881 00:51:41,440 --> 00:51:44,440 Speaker 1: the marketing consultant company, I have to be at the party. 882 00:51:44,600 --> 00:51:47,399 Speaker 1: You don't learn to relax. Christmas is special and time 883 00:51:47,440 --> 00:51:50,000 Speaker 1: to reconnect with your family. Oh well, we were at 884 00:51:50,040 --> 00:51:53,560 Speaker 1: Tim Horton's, I mean Duncan Doughnuts. We had to be 885 00:51:53,680 --> 00:51:56,719 Speaker 1: there because Sandy Claude. Um, how do I say this 886 00:51:57,800 --> 00:52:01,359 Speaker 1: in Canada? What what's theirck of one of Santa Claus. Oh, 887 00:52:01,480 --> 00:52:04,800 Speaker 1: it's it's probably some guy wearing full denim named Jason. 888 00:52:06,680 --> 00:52:13,520 Speaker 1: He brings you like a mckita Newmichita saw to work 889 00:52:13,560 --> 00:52:16,440 Speaker 1: on the barn to get it up the snuff for installation. 890 00:52:17,000 --> 00:52:21,600 Speaker 1: Like Christmas in Canada. Here they love it. They also 891 00:52:21,719 --> 00:52:24,239 Speaker 1: celebrate Christmas up in the North Canadians like gang, let 892 00:52:24,320 --> 00:52:27,680 Speaker 1: us know who's your Santa? Yeah, I'll tell you who 893 00:52:27,680 --> 00:52:29,640 Speaker 1: it is. Actually, I think I know it's Uh this 894 00:52:29,719 --> 00:52:31,800 Speaker 1: guy named Holmes. I don't know his first name is. 895 00:52:32,280 --> 00:52:34,799 Speaker 1: He's like this burly dude with like a shaved head 896 00:52:34,840 --> 00:52:38,120 Speaker 1: and like a little dangly earring. He's like a real 897 00:52:38,600 --> 00:52:41,200 Speaker 1: like gruff guy. But he has this show called Homes 898 00:52:41,280 --> 00:52:45,600 Speaker 1: on Homes. He does like home renovation for people who've 899 00:52:46,040 --> 00:52:48,440 Speaker 1: um like needed badly, like a man who takes care 900 00:52:48,480 --> 00:52:50,880 Speaker 1: of horses or a girl who has in a wheelchair, 901 00:52:51,239 --> 00:52:52,920 Speaker 1: and he goes to their house and they've done done 902 00:52:52,920 --> 00:52:55,880 Speaker 1: a bad renovation and he goes, I can't believe they 903 00:52:56,000 --> 00:52:58,960 Speaker 1: did this to you. Gosh, we have to make this right. 904 00:53:00,120 --> 00:53:03,840 Speaker 1: They did this to you being a bad renovation. They 905 00:53:04,239 --> 00:53:06,120 Speaker 1: they ripped you off. But we're gonna make it right. 906 00:53:06,320 --> 00:53:08,960 Speaker 1: He's just big Burley muscly dude, but he's like a 907 00:53:09,080 --> 00:53:12,120 Speaker 1: real sweet He's really sweet. Not to mix my holidays, 908 00:53:12,160 --> 00:53:14,799 Speaker 1: but do you think Homes on Homes is an Easter 909 00:53:14,960 --> 00:53:19,640 Speaker 1: egg letting Canadians know that he's their actual Santa Claus 910 00:53:19,680 --> 00:53:22,920 Speaker 1: because he lands on homes. That's a good one. I 911 00:53:23,040 --> 00:53:26,600 Speaker 1: never thought about that. Mike Holmes just like the sense 912 00:53:26,680 --> 00:53:29,520 Speaker 1: of justice though that's even in a Canadian like fix 913 00:53:29,640 --> 00:53:31,600 Speaker 1: up show. Like in America, it's like, how do you 914 00:53:31,680 --> 00:53:33,960 Speaker 1: fucking make a ton of money off this ship right 915 00:53:34,040 --> 00:53:38,920 Speaker 1: for people? And Mike Holmes like, oh my god, about justice. 916 00:53:39,080 --> 00:53:44,759 Speaker 1: What happened? Let's make this right. Well, I'm actually I'm 917 00:53:44,880 --> 00:53:47,120 Speaker 1: very curious to hear your take on this. Johnny as 918 00:53:47,200 --> 00:53:52,239 Speaker 1: a as a actor, um so James Dean. It has 919 00:53:52,280 --> 00:53:56,280 Speaker 1: been announced James Dean will be acting in a movie 920 00:53:57,840 --> 00:54:03,800 Speaker 1: computer generated version of and it's called Finding Jack. I 921 00:54:03,920 --> 00:54:08,080 Speaker 1: think is that right? Finding Jack? Finding Jack? Uh? It 922 00:54:08,320 --> 00:54:12,719 Speaker 1: is the story of ten thousand military dogs who were 923 00:54:12,760 --> 00:54:17,560 Speaker 1: abandoned at the end of the Vietnam War. And they 924 00:54:18,360 --> 00:54:21,400 Speaker 1: claimed that they were going through the casting process and 925 00:54:21,480 --> 00:54:25,439 Speaker 1: they just could not find the appropriate actor to play 926 00:54:25,480 --> 00:54:29,120 Speaker 1: then find our guy, they and and then they were 927 00:54:29,200 --> 00:54:36,200 Speaker 1: like what is this technological miracle? Uh? And and voila, 928 00:54:36,960 --> 00:54:39,120 Speaker 1: they will have James Dean star in this movie. This 929 00:54:39,239 --> 00:54:41,439 Speaker 1: is a classic case of his uh what's it called 930 00:54:41,520 --> 00:54:44,640 Speaker 1: his estate probably doesn't exist anymore? Maybe or what's that called? 931 00:54:44,680 --> 00:54:51,400 Speaker 1: Then something's public domain pulic. That's basically what's happened here, 932 00:54:51,480 --> 00:54:54,440 Speaker 1: because you can't do that with someone You couldn't do 933 00:54:54,520 --> 00:54:57,719 Speaker 1: that with who's someone who's like recently deceased, and you 934 00:54:57,719 --> 00:55:00,799 Speaker 1: wouldn't be like, guess what they are Yep, she's doing 935 00:55:00,840 --> 00:55:04,799 Speaker 1: a hologram to probably sold the rights. And the same 936 00:55:04,840 --> 00:55:08,040 Speaker 1: thing with James Deans. The state of worldwide is like 937 00:55:08,320 --> 00:55:12,160 Speaker 1: the it's like all of the agencies in Hollywood combined, 938 00:55:12,360 --> 00:55:16,680 Speaker 1: but for deceased celebrities have like all the Burt Reynolds, 939 00:55:16,760 --> 00:55:22,440 Speaker 1: christopherree Neil Armstrong, all the great and uh CMG worldwide 940 00:55:23,000 --> 00:55:26,719 Speaker 1: has James Dean and they are licensing his image and 941 00:55:27,320 --> 00:55:31,799 Speaker 1: the filmmakers are paying the James Dean state. The really 942 00:55:31,880 --> 00:55:35,440 Speaker 1: odd thing about this is that these directors have never 943 00:55:35,600 --> 00:55:39,120 Speaker 1: made a feature length film and with their first idea, 944 00:55:39,320 --> 00:55:42,480 Speaker 1: they want to undertake a production where one of your 945 00:55:42,600 --> 00:55:48,200 Speaker 1: leads is a fucking CG dead actor. It's like, Hollywood, Yeah, 946 00:55:48,480 --> 00:55:51,319 Speaker 1: are some I don't know because none of that ship 947 00:55:51,440 --> 00:55:54,360 Speaker 1: looks good. It has yet to look good, you know, 948 00:55:54,600 --> 00:55:57,560 Speaker 1: like when they made Grand mof Tarkin in Rogue one. Yeah, 949 00:55:57,880 --> 00:56:04,920 Speaker 1: that people like cool. They brought him. I didn't see theater, 950 00:56:04,920 --> 00:56:07,320 Speaker 1: but you want I heard though, uh second hand, but 951 00:56:07,440 --> 00:56:09,920 Speaker 1: from someone who I do, whose opinion I trust pretty much, 952 00:56:10,000 --> 00:56:14,880 Speaker 1: top top bill opinion is that that guy is the Irishman, 953 00:56:15,160 --> 00:56:19,000 Speaker 1: that movie the Irishman. That it's uh, it's really all 954 00:56:19,080 --> 00:56:20,839 Speaker 1: the stuff they did, which is not the same as 955 00:56:20,920 --> 00:56:23,520 Speaker 1: this because they have humans that can just doctor up 956 00:56:23,560 --> 00:56:25,440 Speaker 1: a bit. But I mean just the fact that that 957 00:56:25,600 --> 00:56:28,799 Speaker 1: looks really good to someone who is a filmmaker, means 958 00:56:28,880 --> 00:56:32,080 Speaker 1: that we're not that far away from it being you're 959 00:56:32,080 --> 00:56:34,759 Speaker 1: saying Scorsese thinks it looks good. Oh yeah, my friend, 960 00:56:34,880 --> 00:56:37,719 Speaker 1: my friend Marty I was talking about his film. Yeah, 961 00:56:37,880 --> 00:56:41,920 Speaker 1: very subtle there. Johnny was his brother, actually Jason as 962 00:56:41,960 --> 00:56:46,600 Speaker 1: a Canadian guy who was Jason Jason Scorsese. Two hand 963 00:56:46,680 --> 00:56:50,840 Speaker 1: Holds is also a denim magnate. Love it, love it, 964 00:56:50,920 --> 00:56:53,040 Speaker 1: love it. Yeah. The other like when you look at 965 00:56:53,120 --> 00:56:55,680 Speaker 1: the other people that they've been throwing around doing ship with, 966 00:56:55,840 --> 00:57:00,400 Speaker 1: like Nelson Mandela. Yeah, hell yeah, man, what gonna put 967 00:57:00,440 --> 00:57:04,560 Speaker 1: him in a fucking Can you imagine? That's where it's 968 00:57:04,560 --> 00:57:07,799 Speaker 1: getting a little like sure, if you're an actor or whatever. 969 00:57:07,880 --> 00:57:09,520 Speaker 1: I don't know, like when you started scaring like the 970 00:57:09,600 --> 00:57:13,000 Speaker 1: lexis of historical figures whatever. I guess that's just like 971 00:57:13,080 --> 00:57:15,520 Speaker 1: where we're at now, where it's just like back to 972 00:57:15,600 --> 00:57:17,720 Speaker 1: the future, where you know, you go to the restaurant, 973 00:57:17,760 --> 00:57:20,640 Speaker 1: it's like Ronald Reagan, I think, just there's there's no 974 00:57:20,760 --> 00:57:22,439 Speaker 1: way to get around it. Probably it's just the most 975 00:57:22,480 --> 00:57:25,760 Speaker 1: things where by the time the technology is available, it's 976 00:57:25,840 --> 00:57:28,800 Speaker 1: too late to restrict its use because it's like it's 977 00:57:28,840 --> 00:57:32,439 Speaker 1: like a what do you call three D printer. It's 978 00:57:32,480 --> 00:57:35,200 Speaker 1: like we're not there yet, but I mean people can 979 00:57:35,240 --> 00:57:36,840 Speaker 1: were gonna be able to start to print stuff that 980 00:57:36,920 --> 00:57:39,560 Speaker 1: they shouldn't print. So you can like say what you 981 00:57:39,640 --> 00:57:41,200 Speaker 1: can all you all you can do is ban the 982 00:57:41,280 --> 00:57:43,800 Speaker 1: plans for it, right, But it's like all that stuff 983 00:57:43,880 --> 00:57:46,120 Speaker 1: you can the technology exists, right, you can't really ban 984 00:57:46,240 --> 00:57:48,120 Speaker 1: information that well, it's like trying to take down a 985 00:57:48,160 --> 00:57:51,360 Speaker 1: YouTube video and everyone wants to see it. Like it's 986 00:57:51,400 --> 00:57:53,680 Speaker 1: just a matter of time before unless like people start 987 00:57:53,720 --> 00:57:57,320 Speaker 1: assuming assuming the ship out of people who make likenesses. 988 00:57:57,400 --> 00:57:58,960 Speaker 1: But that have to be like a you know, have 989 00:57:59,040 --> 00:58:01,120 Speaker 1: to be like a these should they should do an 990 00:58:01,200 --> 00:58:06,320 Speaker 1: Expendables type film with all these people. Imagine Christopher Reeve, 991 00:58:06,520 --> 00:58:13,280 Speaker 1: Neil Armstrong, Amelia Earhart Nelson, Mandela Maya Angelou. That is 992 00:58:13,440 --> 00:58:17,960 Speaker 1: Genghis Khan. Yeah, that's public domain though. Saved some money 993 00:58:18,040 --> 00:58:22,800 Speaker 1: on that one. Bing Crosby. Bing Crosby didn't like. Wasn't 994 00:58:22,840 --> 00:58:26,720 Speaker 1: there a dirt devil ed with bing Crosby like dancing 995 00:58:26,760 --> 00:58:33,120 Speaker 1: with a y y y Yeah yeah, yeah, yeah, that's right, 996 00:58:33,520 --> 00:58:36,600 Speaker 1: that's who it was. Yah. Anyways, you can look for 997 00:58:36,760 --> 00:58:40,120 Speaker 1: this movie to be out, is it FREDI stairs, Fred, 998 00:58:40,960 --> 00:58:43,400 Speaker 1: there is, but yeah, I mean it just it seems 999 00:58:43,400 --> 00:58:46,400 Speaker 1: like this is probably that they realized that they could 1000 00:58:46,440 --> 00:58:49,360 Speaker 1: do this for not that much money and it would 1001 00:58:49,360 --> 00:58:53,760 Speaker 1: get people like us, real dummies like us talking about it. 1002 00:58:53,920 --> 00:58:58,120 Speaker 1: And so now you know about a movie called Saving Jack, 1003 00:58:58,560 --> 00:59:02,280 Speaker 1: Finding Jack, Finding I mean, let's be real an idea 1004 00:59:02,440 --> 00:59:06,440 Speaker 1: of such a bizarre story that is acted by a 1005 00:59:06,600 --> 00:59:09,240 Speaker 1: computer generated James Dean. I may have to see it 1006 00:59:09,360 --> 00:59:12,600 Speaker 1: for the walls. Yeah, it sounds like a like a book. 1007 00:59:12,640 --> 00:59:15,280 Speaker 1: I want to read this book. Yeah, I mean, you know, 1008 00:59:15,440 --> 00:59:19,120 Speaker 1: dogs are cool. Yeah, I'm guess I'm gonna tear up 1009 00:59:19,200 --> 00:59:22,720 Speaker 1: my uh spec script Finding Jack. It's all about my 1010 00:59:22,800 --> 00:59:26,680 Speaker 1: personal journey. Yeah. Uh, you as a boy going through puberty. 1011 00:59:28,920 --> 00:59:31,080 Speaker 1: They said it could be because we don't know who's 1012 00:59:31,600 --> 00:59:33,720 Speaker 1: We just don't know. We don't know. Right, it's not 1013 00:59:33,800 --> 00:59:36,080 Speaker 1: gonna be James Dean, I'll tell you that much. So 1014 00:59:36,200 --> 00:59:39,240 Speaker 1: they'd have someone who looks and sounds something like James Dean. 1015 00:59:43,160 --> 00:59:46,040 Speaker 1: Tear me apart. Well, it's crazy how you just tore 1016 00:59:46,120 --> 00:59:49,480 Speaker 1: me apart? Well, goodness, you are tearing me apart? Did 1017 00:59:49,560 --> 00:59:55,120 Speaker 1: you just tell me? Wow? Whoa I'm stoned? Uh? Did 1018 00:59:55,160 --> 00:59:56,520 Speaker 1: you say that, I why didn't you rust your thumbs? 1019 00:59:57,000 --> 00:59:58,840 Speaker 1: What's that when he's like playing pianos in their line 1020 00:59:58,840 --> 01:00:00,440 Speaker 1: where he says, I want you rust your umps let 1021 01:00:00,440 --> 01:00:02,720 Speaker 1: me do the driving, or something like who does James 1022 01:00:02,800 --> 01:00:05,080 Speaker 1: Dean in a movie? I don't. I don't know anyway, 1023 01:00:05,360 --> 01:00:07,240 Speaker 1: I don't even know if you're E. Turner classic movies. 1024 01:00:07,320 --> 01:00:09,360 Speaker 1: Let me know. Am I complating this with something completely different? 1025 01:00:09,400 --> 01:00:12,680 Speaker 1: I just remember from Earth Girls Are Easy because one 1026 01:00:12,720 --> 01:00:15,320 Speaker 1: of the aliens sees it on TV and then pretends 1027 01:00:15,320 --> 01:00:17,600 Speaker 1: to be human by saying that line. Oh that's a 1028 01:00:17,680 --> 01:00:21,280 Speaker 1: deep dip. Yeah, well, Johnny, it's been a pleasure of 1029 01:00:21,280 --> 01:00:24,240 Speaker 1: having been a pleasure being here. Where can people find 1030 01:00:24,320 --> 01:00:27,320 Speaker 1: you and follow you? Oh? You can follow me on 1031 01:00:27,480 --> 01:00:30,360 Speaker 1: extra grab at Johnny Underscore Pemberton, and you can go 1032 01:00:30,440 --> 01:00:34,440 Speaker 1: to YouTube watch all the hilarious videos I post YouTube 1033 01:00:34,520 --> 01:00:39,520 Speaker 1: dot com slash just my nipples, that's right, don't get 1034 01:00:39,560 --> 01:00:42,840 Speaker 1: my name. I think it's some little British guy who's 1035 01:00:42,880 --> 01:00:46,640 Speaker 1: a funny name. Oh, the real Johnny Pemberton. I think 1036 01:00:46,680 --> 01:00:48,960 Speaker 1: that's what happened. All the Pemberton stuff has been taken 1037 01:00:49,040 --> 01:00:52,800 Speaker 1: by old, young British folks. That or we can also 1038 01:00:52,880 --> 01:00:55,800 Speaker 1: go to our show, our play at the Yard Theater. 1039 01:00:56,600 --> 01:00:59,720 Speaker 1: It's the Dicker Dicker and Josh has to have a play. 1040 01:01:00,480 --> 01:01:07,640 Speaker 1: Dicker is a character, Yeah, Dicker. What's the It's about um, 1041 01:01:07,880 --> 01:01:10,080 Speaker 1: two friends who see each other at a train station 1042 01:01:10,120 --> 01:01:13,160 Speaker 1: after being estranged for many years. It's sort of a 1043 01:01:13,240 --> 01:01:15,400 Speaker 1: take on an old style play, but it's like a 1044 01:01:16,000 --> 01:01:19,920 Speaker 1: sort of a meta, weird bizarro thing. Are you ever 1045 01:01:20,000 --> 01:01:22,680 Speaker 1: going to bring back your character Peanut Butter and Kelly? 1046 01:01:23,160 --> 01:01:25,120 Speaker 1: Oh my god, I'm thought with that. I mean, I 1047 01:01:25,160 --> 01:01:27,000 Speaker 1: don't know, there's no plans to ye, Yeah, I was 1048 01:01:27,000 --> 01:01:29,680 Speaker 1: just thinking about that. Yeah, that was a funny show. Yeah, 1049 01:01:30,640 --> 01:01:33,320 Speaker 1: that's a funny thing like the like the Disney Channel. Yeah, 1050 01:01:33,320 --> 01:01:35,400 Speaker 1: it wasn't at you in a hamster? Was your best friend? 1051 01:01:36,640 --> 01:01:40,000 Speaker 1: I think I was named Kelly and the Hans. That 1052 01:01:40,160 --> 01:01:43,080 Speaker 1: was funny, all that Disney stuff. I think it'd be 1053 01:01:43,080 --> 01:01:46,160 Speaker 1: funny to play like a super grown up Disney Channel 1054 01:01:46,680 --> 01:01:50,160 Speaker 1: kid who's maybe like a I don't know, I'm thinking 1055 01:01:50,200 --> 01:01:53,560 Speaker 1: out loud, be funny if like, I'm not gonna I 1056 01:01:53,640 --> 01:01:56,480 Speaker 1: just thought I'm not gonna say it though, coming soon, 1057 01:01:56,560 --> 01:02:03,120 Speaker 1: coming soon, Disney tweeter, Instagram or Extragram. But there's my name. Well, 1058 01:02:03,160 --> 01:02:06,760 Speaker 1: I enjoy. I enjoy my friend this guy Everett, I 1059 01:02:06,800 --> 01:02:08,800 Speaker 1: don't have to say this last name Barnum. He has 1060 01:02:08,840 --> 01:02:12,320 Speaker 1: a Twitter called rad Underscore Milk. He posts a lot 1061 01:02:12,400 --> 01:02:15,280 Speaker 1: of dumb, funny stuff. He posted something the other day 1062 01:02:15,320 --> 01:02:17,840 Speaker 1: that I laughed a lot out. He said, um, oh 1063 01:02:17,920 --> 01:02:20,600 Speaker 1: ship the dogs at the Baja men asked about getting 1064 01:02:20,680 --> 01:02:25,760 Speaker 1: let out are probably dead now. His stuff is very absurd. 1065 01:02:26,000 --> 01:02:31,200 Speaker 1: Rad Underscore Milk. It's that old style of weird Twitter. 1066 01:02:31,560 --> 01:02:35,520 Speaker 1: Yeah that I still think it's great. Yeah, Miles people 1067 01:02:35,640 --> 01:02:38,440 Speaker 1: find you find me follow me Twitter and Instagram at 1068 01:02:38,560 --> 01:02:41,120 Speaker 1: Miles of Gray. Three tweets I like first and what 1069 01:02:41,400 --> 01:02:44,200 Speaker 1: is from New Player has joined podcast at new Player Pod. 1070 01:02:44,560 --> 01:02:47,440 Speaker 1: Check out my episode we talking about guitar hero Um. 1071 01:02:47,680 --> 01:02:50,120 Speaker 1: Guy one, I just got a new Xbox. You want 1072 01:02:50,120 --> 01:02:52,560 Speaker 1: to come over and hang guy too? Yeah. Guy one 1073 01:02:52,920 --> 01:02:56,240 Speaker 1: cries over a box of his ex girlfriend's pictures to 1074 01:02:56,520 --> 01:03:02,800 Speaker 1: ugg it none on Devin Field at that Devon Field 1075 01:03:03,040 --> 01:03:05,160 Speaker 1: had a great pitch with Crooked Media. Just sold them 1076 01:03:05,200 --> 01:03:08,800 Speaker 1: all of the following Our Lord thy pod. Our pod 1077 01:03:08,920 --> 01:03:12,120 Speaker 1: is an awesome pod. Are you there pod? It's me Politics? 1078 01:03:12,320 --> 01:03:14,560 Speaker 1: What if pod was one of us? Pod is dead 1079 01:03:15,040 --> 01:03:18,360 Speaker 1: and Satan at s eight n Have you heard the 1080 01:03:18,480 --> 01:03:23,720 Speaker 1: news that You're dead? I love it alright? Tweet I've 1081 01:03:23,760 --> 01:03:28,560 Speaker 1: been enjoying Kelpie at Kelsey Buckles tweeted y'all want permission 1082 01:03:28,600 --> 01:03:30,680 Speaker 1: to say the N word because it's in the lyrics, 1083 01:03:30,760 --> 01:03:33,520 Speaker 1: but we'll change the pronouns in a love song so 1084 01:03:33,680 --> 01:03:37,760 Speaker 1: you don't sound gay. Uh. You can find me on Twitter, 1085 01:03:37,960 --> 01:03:42,680 Speaker 1: Jack Underscore O'Brien find us on Twitter at daily zeitgeis 1086 01:03:42,760 --> 01:03:46,360 Speaker 1: where at the Daily zeitgeis on Instagram with basebook fan page, 1087 01:03:46,400 --> 01:03:49,280 Speaker 1: and a website, daily zey guys dot com, where we 1088 01:03:49,360 --> 01:03:52,760 Speaker 1: post our episodes and our footnote where we link off 1089 01:03:52,880 --> 01:03:55,960 Speaker 1: to the information that we talked about today's episode, as 1090 01:03:56,000 --> 01:03:59,200 Speaker 1: well as a song we ride out on I was 1091 01:03:59,320 --> 01:04:02,000 Speaker 1: was I gonna be there? This is an interesting remix. 1092 01:04:02,040 --> 01:04:06,160 Speaker 1: It's called from a producer called Corey ye Yo, but 1093 01:04:06,280 --> 01:04:09,680 Speaker 1: it's that song Selfish that had Kanye West and slum 1094 01:04:09,880 --> 01:04:11,760 Speaker 1: Village I believe was the original, and it's kind of 1095 01:04:11,840 --> 01:04:14,640 Speaker 1: pitched down um and with John Legend and it's kind 1096 01:04:14,640 --> 01:04:16,160 Speaker 1: of like a reflip, so I feel like a sample 1097 01:04:16,200 --> 01:04:19,280 Speaker 1: bays hip hop. Check this out. It's got a good 1098 01:04:19,440 --> 01:04:21,400 Speaker 1: got a good rhythm, got a good flow, got a 1099 01:04:21,440 --> 01:04:25,080 Speaker 1: good sample. It's a soothing, soothing ball for your ears. 1100 01:04:26,160 --> 01:04:31,960 Speaker 1: Rhythm and flow, those are important to wrap. The biggest part, Yeah, 1101 01:04:34,120 --> 01:04:36,640 Speaker 1: the biggest. It's a real big actually, Yeah, what's your 1102 01:04:36,680 --> 01:04:40,680 Speaker 1: hip hop podcast coming out? Then it's gonna be dropping. 1103 01:04:43,520 --> 01:04:47,800 Speaker 1: Check that out and it's gonna drop. The PM is 1104 01:04:47,880 --> 01:04:53,080 Speaker 1: my dear m is mightier than your words. Ship. Okay, 1105 01:04:53,200 --> 01:04:55,960 Speaker 1: let's let's keep that one under wraps. I've been warned again. 1106 01:04:56,520 --> 01:04:58,800 Speaker 1: The Daily Zygeist is a production of my Heart Radio 1107 01:04:58,880 --> 01:05:02,240 Speaker 1: for More podcast from I heard radio visits. Yeah, I 1108 01:05:02,360 --> 01:05:07,400 Speaker 1: heard radio Apple Apple podcast or wherever listening your favorite shows. 1109 01:05:07,440 --> 01:05:09,840 Speaker 1: I was gonna do it for today. Will be back 1110 01:05:09,880 --> 01:05:12,040 Speaker 1: to more because it's a daily podcast. Won't talk to 1111 01:05:12,080 --> 01:05:16,760 Speaker 1: you all right, acting like Mr Friendly. It's still the spotlight, 1112 01:05:16,880 --> 01:05:21,160 Speaker 1: like Mr Fibley. I spotted like Spud Mackenzie and for 1113 01:05:21,320 --> 01:05:24,520 Speaker 1: them fake that reason. I paid them, Bije get your own. 1114 01:05:24,640 --> 01:05:26,600 Speaker 1: I got parents. You got nicky. You try to get 1115 01:05:26,680 --> 01:05:29,000 Speaker 1: him a clone? He said, yeah, you know, you got 1116 01:05:29,160 --> 01:05:32,160 Speaker 1: extra holes and everything you do with extra co on 1117 01:05:32,320 --> 01:05:35,920 Speaker 1: the Polo Police to the Jesus Police. I get family 1118 01:05:36,000 --> 01:05:39,320 Speaker 1: in high places like Jesus niece. Can I please say 1119 01:05:39,400 --> 01:05:42,640 Speaker 1: my piece. If y'all press the death, then I'm deceased. 1120 01:05:42,920 --> 01:05:45,440 Speaker 1: And this one here, it's a heat Rocks fit like 1121 01:05:45,600 --> 01:05:48,240 Speaker 1: the beat Box to Wait. The beat Rocks new version 1122 01:05:48,320 --> 01:05:49,640 Speaker 1: of beat rock. Before that,