1 00:00:02,920 --> 00:00:03,640 Speaker 1: Did you see that? 2 00:00:03,760 --> 00:00:08,360 Speaker 2: I forget who someone posted like the New Washington Post 3 00:00:08,480 --> 00:00:12,160 Speaker 2: like op ed column, like what the topics are? No, 4 00:00:12,880 --> 00:00:18,480 Speaker 2: it's it's over for like, No, it's fucking fully over 5 00:00:18,760 --> 00:00:22,640 Speaker 2: the topics on there aren't even like what normal people 6 00:00:22,760 --> 00:00:23,759 Speaker 2: fucking talk about. 7 00:00:23,880 --> 00:00:25,239 Speaker 1: It's so fucking funny. 8 00:00:25,720 --> 00:00:28,320 Speaker 2: Uh So Rachel Maddow posted, and then I saw Ben 9 00:00:28,360 --> 00:00:31,080 Speaker 2: Consury like reposted on Blue Sky, like this is what 10 00:00:31,120 --> 00:00:34,480 Speaker 2: the sidecom said. Letters to the editor, why America should 11 00:00:34,560 --> 00:00:38,319 Speaker 2: legalize horse slaughter? Then the next one, e bikes are 12 00:00:38,360 --> 00:00:42,160 Speaker 2: an e menace? Next one, why are Americans relocating? 13 00:00:42,159 --> 00:00:42,480 Speaker 3: The data? 14 00:00:42,520 --> 00:00:43,360 Speaker 1: Show surprises? 15 00:00:43,840 --> 00:00:47,000 Speaker 2: The next one Groundhog Day and Gaza. Then these numbers 16 00:00:47,000 --> 00:00:49,879 Speaker 2: are the real reason late night TV is collapsing like 17 00:00:50,040 --> 00:00:54,200 Speaker 2: all nonsense. Yeah, just like a Trump administration approved talking 18 00:00:54,280 --> 00:00:58,960 Speaker 2: points why America should legalize horse slaughter? 19 00:00:59,240 --> 00:01:01,680 Speaker 1: Those are the stakes right now. That's what That's what 20 00:01:01,920 --> 00:01:04,040 Speaker 1: That's what me and my friends were talking about this weekend. 21 00:01:04,800 --> 00:01:06,800 Speaker 2: And those are the steaks. Man, do you have a horse? Rib? 22 00:01:07,920 --> 00:01:12,200 Speaker 1: I mean, fortunately, I'm not gonna lie. 23 00:01:12,200 --> 00:01:12,360 Speaker 2: Bro. 24 00:01:12,520 --> 00:01:15,360 Speaker 1: Yeah, me too, you know what I mean kind of inadvertently, 25 00:01:15,520 --> 00:01:18,240 Speaker 1: but no, I did it, and I did that ship knowingly. 26 00:01:18,319 --> 00:01:26,640 Speaker 4: You know what I mean, hello the Internet, and welcome 27 00:01:26,800 --> 00:01:30,120 Speaker 4: to this week trend edition of Guy. 28 00:01:31,680 --> 00:01:34,120 Speaker 1: Yeah, oh my god, you're so horny this morning. 29 00:01:34,480 --> 00:01:36,800 Speaker 2: Yeah, my name used to do the opening your people 30 00:01:36,800 --> 00:01:39,880 Speaker 2: were early episodes. It wasn't always the Dean scream. I 31 00:01:39,920 --> 00:01:43,520 Speaker 2: was going, yeah, I do remember that. I don't remember 32 00:01:43,560 --> 00:01:47,000 Speaker 2: it ever being this horny. But maybe your mic is 33 00:01:47,120 --> 00:01:49,280 Speaker 2: you're on the road. Your MIC's a little bit warmer 34 00:01:49,320 --> 00:01:49,880 Speaker 2: than usual. 35 00:01:50,000 --> 00:01:53,120 Speaker 1: I can hear. Jack. You don't even know when I'm 36 00:01:53,160 --> 00:01:59,680 Speaker 1: horny anymore. That's not picking up on the signals, all right. 37 00:02:00,240 --> 00:02:02,400 Speaker 2: He's looking at me with this look and going to 38 00:02:02,480 --> 00:02:03,360 Speaker 2: eat what. 39 00:02:05,080 --> 00:02:09,680 Speaker 1: You Okay? What what's wrong? You look forget it? 40 00:02:10,560 --> 00:02:12,920 Speaker 2: And I take the I take the carnation out of 41 00:02:12,919 --> 00:02:14,640 Speaker 2: my hair and I spike it on the ground. 42 00:02:16,919 --> 00:02:17,400 Speaker 1: What we did? 43 00:02:17,400 --> 00:02:19,639 Speaker 2: What we say so far that I'm Jack your miles. 44 00:02:19,800 --> 00:02:23,440 Speaker 2: This is the episode where we tell you what is trending? 45 00:02:23,480 --> 00:02:27,040 Speaker 2: What was trending this weekend? What's trending this Monday morning? Uh? 46 00:02:27,160 --> 00:02:28,480 Speaker 1: First, we tell you a. 47 00:02:28,400 --> 00:02:31,720 Speaker 2: Little bit about ourselves by telling you something we think 48 00:02:32,120 --> 00:02:35,399 Speaker 2: is overrated, underrated? Enough of these fucking guests, all right, 49 00:02:35,520 --> 00:02:36,400 Speaker 2: what about us? 50 00:02:36,680 --> 00:02:37,520 Speaker 1: What about us? 51 00:02:37,560 --> 00:02:42,359 Speaker 2: The host st podcast from us? I have no idea 52 00:02:42,400 --> 00:02:46,720 Speaker 2: who we are, Miles. What is something that you think 53 00:02:46,840 --> 00:02:50,600 Speaker 2: is underrated? Okay, I just saw one battle after another 54 00:02:50,840 --> 00:02:51,560 Speaker 2: over the weekend. 55 00:02:51,800 --> 00:02:53,360 Speaker 1: Yes, it was a good time. 56 00:02:54,639 --> 00:03:00,240 Speaker 2: Officially, a having seen one battle after another rare, rare 57 00:03:00,320 --> 00:03:02,960 Speaker 2: moment in the show where we've both seen the movie 58 00:03:03,000 --> 00:03:05,799 Speaker 2: that everyone's talking about. Shout out to my mother in 59 00:03:05,880 --> 00:03:08,000 Speaker 2: law for being able to watch the guy's child so 60 00:03:08,040 --> 00:03:10,440 Speaker 2: we could sneak out and I could eat old Bay 61 00:03:10,520 --> 00:03:14,280 Speaker 2: on popcorn in Maryland in a Maryland movie theater. But 62 00:03:14,360 --> 00:03:19,800 Speaker 2: I gotta say Leonardo DiCaprio's throat acting underrated. He does 63 00:03:19,840 --> 00:03:23,919 Speaker 2: this thing in like a dialogue when he's not speaking 64 00:03:24,040 --> 00:03:24,960 Speaker 2: and he's reacting. 65 00:03:25,000 --> 00:03:28,920 Speaker 1: He kind of like half swallows, you know. 66 00:03:29,000 --> 00:03:32,840 Speaker 2: He gets the throat sort of actuating articulating a little 67 00:03:32,840 --> 00:03:36,800 Speaker 2: bit really adds. I kept noticing that. I'm like, oh oh, 68 00:03:36,840 --> 00:03:38,640 Speaker 2: and it's not a thing I think limited to him. 69 00:03:38,640 --> 00:03:40,520 Speaker 2: But I think because I saw the movie, I'm. 70 00:03:40,320 --> 00:03:42,720 Speaker 1: Like, this guy's fuck. He's got the goods. 71 00:03:43,680 --> 00:03:46,520 Speaker 2: And also I just think overall and underrated aspect about 72 00:03:46,960 --> 00:03:51,840 Speaker 2: Leonardo DiCaprio, his comedic acting is actually really underrated because 73 00:03:52,280 --> 00:03:56,680 Speaker 2: there's to me, Leonardo DiCaprio is at his best when 74 00:03:56,680 --> 00:04:00,520 Speaker 2: he's playing a strong, out, panicked guy where shit is 75 00:04:00,560 --> 00:04:04,280 Speaker 2: going always going wrong for him. They's just like something 76 00:04:04,280 --> 00:04:07,680 Speaker 2: about his frustration, like what the fuck, Like when he's 77 00:04:07,880 --> 00:04:10,320 Speaker 2: just you know, like in a lot of those scenes 78 00:04:10,320 --> 00:04:12,800 Speaker 2: he's like physical acting where he's just so paranoid and 79 00:04:12,840 --> 00:04:14,960 Speaker 2: like flopping on the ground because he thinks someone's going 80 00:04:15,000 --> 00:04:17,280 Speaker 2: to see him. I really enjoyed that shit, and I 81 00:04:17,320 --> 00:04:18,960 Speaker 2: realized I'm like, oh, that's kind of what why I 82 00:04:19,080 --> 00:04:22,279 Speaker 2: liked Wolf of Wall Street. It really wasn't the story itself. 83 00:04:22,400 --> 00:04:26,000 Speaker 2: I just like seeing Leonardo DiCaprio like as a strung out, 84 00:04:26,080 --> 00:04:26,760 Speaker 2: panicked guy. 85 00:04:27,240 --> 00:04:28,160 Speaker 1: Yeah, And it's just. 86 00:04:28,120 --> 00:04:30,840 Speaker 2: Kind of that once upon a time In Hollywood too, 87 00:04:31,240 --> 00:04:34,360 Speaker 2: he's like getting a lot of roles as a has 88 00:04:34,440 --> 00:04:37,040 Speaker 2: been for somebody who's like kind of still you know. 89 00:04:38,000 --> 00:04:40,640 Speaker 2: I wonder if there's like they just recognize that that's 90 00:04:40,680 --> 00:04:43,320 Speaker 2: a fear of his and so like they're they're. 91 00:04:43,200 --> 00:04:44,920 Speaker 1: Casting them that didn't do it. Yeah. 92 00:04:45,000 --> 00:04:48,920 Speaker 2: Yeah, but yeah, he's like kind of he's great, and 93 00:04:49,000 --> 00:04:51,600 Speaker 2: I feel like there's so many good performances. Benicio del 94 00:04:51,640 --> 00:04:54,160 Speaker 2: Toro's getting a lot of attention online. 95 00:04:54,240 --> 00:04:55,120 Speaker 1: He's great. 96 00:04:55,360 --> 00:04:59,480 Speaker 2: He's like got I feel like Lebowski energy a little bit, 97 00:04:59,800 --> 00:05:04,200 Speaker 2: you know, like that everybody I saw someone be like 98 00:05:04,720 --> 00:05:09,440 Speaker 2: His character made me start like drinking alcoholically again because 99 00:05:09,480 --> 00:05:13,000 Speaker 2: he just makes drinking beer seems so cool. 100 00:05:13,200 --> 00:05:13,440 Speaker 1: Dude. 101 00:05:13,440 --> 00:05:16,480 Speaker 2: The way they're pounding modellos while driving is just like 102 00:05:17,640 --> 00:05:25,120 Speaker 2: it is. Uh, it's the rare pro drunk driving p 103 00:05:25,360 --> 00:05:28,000 Speaker 2: s a this movie. 104 00:05:28,560 --> 00:05:32,840 Speaker 1: But yeah, yeah, he was honestly pen really freaked character. 105 00:05:33,640 --> 00:05:34,480 Speaker 1: Amazing character. 106 00:05:35,000 --> 00:05:38,279 Speaker 2: His performance got stuck in my head like a like 107 00:05:38,320 --> 00:05:41,120 Speaker 2: a song, you know, like I kept thinking about the 108 00:05:41,120 --> 00:05:43,880 Speaker 2: way he moves and the way he was Like as 109 00:05:43,920 --> 00:05:48,520 Speaker 2: I was like walking, I was like thinking about that guy. Yeah, 110 00:05:48,640 --> 00:05:52,440 Speaker 2: it's it's crazy love. I love the villain organization. I 111 00:05:52,480 --> 00:05:53,320 Speaker 2: won't I won't ruin it. 112 00:05:53,400 --> 00:05:56,160 Speaker 1: Yeah yeah, yeah, yeah, yeah. 113 00:05:55,920 --> 00:05:59,120 Speaker 2: Well we'll keep it qualitative. At this point that it's there, 114 00:05:59,160 --> 00:06:02,680 Speaker 2: there's some great wormances. I've only spoiled throat acting for 115 00:06:02,760 --> 00:06:05,159 Speaker 2: people I think at this point watched for the throat 116 00:06:05,160 --> 00:06:05,880 Speaker 2: act for the. 117 00:06:07,920 --> 00:06:09,119 Speaker 1: Real throat out guys. 118 00:06:09,200 --> 00:06:12,440 Speaker 2: No tooth acting in this one, no, no, no, but 119 00:06:12,680 --> 00:06:17,960 Speaker 2: definitely some straight wind pipe, solid wind pipe acting. All right, 120 00:06:18,160 --> 00:06:25,120 Speaker 2: My underrated is the great Peshtigo fire for my kids. 121 00:06:25,200 --> 00:06:29,680 Speaker 2: Random questions this weekend uh, you know, they lived through 122 00:06:30,040 --> 00:06:35,560 Speaker 2: l as wildfires earlier in the year, and it's always 123 00:06:35,960 --> 00:06:38,120 Speaker 2: kind of near the top of their mind. 124 00:06:38,600 --> 00:06:43,520 Speaker 1: There's come talking like a like a Dare talk ship. 125 00:06:44,600 --> 00:06:48,880 Speaker 2: You sit down chair around you guys know about a 126 00:06:48,920 --> 00:06:52,839 Speaker 2: little wildfire. Seems like you still got a house. Huh, 127 00:06:53,839 --> 00:06:59,760 Speaker 2: his pants wet, don't worry about that. But anyways, they 128 00:07:00,160 --> 00:07:02,880 Speaker 2: asked what the deadliest fire in all history was? Oh, 129 00:07:03,000 --> 00:07:06,800 Speaker 2: my god, which I don't. I try not to be 130 00:07:06,880 --> 00:07:09,400 Speaker 2: like that's that's too dark, Like what's wrong? Yeah? Yeah, 131 00:07:10,200 --> 00:07:12,560 Speaker 2: so yeah, we just we just look it up, you know, 132 00:07:12,760 --> 00:07:15,520 Speaker 2: and usually we'll guess before we look it up, and 133 00:07:15,560 --> 00:07:19,240 Speaker 2: then you know, talk about our guesses before. And we 134 00:07:19,280 --> 00:07:22,880 Speaker 2: all guessed the Great Chicago Fire. Actually what my seven 135 00:07:22,960 --> 00:07:26,679 Speaker 2: year old guests, uh, San Francisco in nineteen eleven, because 136 00:07:26,720 --> 00:07:28,280 Speaker 2: of like there was an earthquake and I know there 137 00:07:28,400 --> 00:07:32,440 Speaker 2: was a massive fire. They just read just mainline like 138 00:07:32,560 --> 00:07:34,440 Speaker 2: books about natural disasters. 139 00:07:34,680 --> 00:07:35,080 Speaker 1: Yeah. 140 00:07:35,120 --> 00:07:36,640 Speaker 2: I was gonna be like at this age, did you 141 00:07:36,680 --> 00:07:38,760 Speaker 2: guys read about the Dresden fire bombings? 142 00:07:39,080 --> 00:07:40,280 Speaker 1: Yeah? Yeah, yeah. 143 00:07:40,360 --> 00:07:43,680 Speaker 2: If we're talking natural not fire bombings, that's its own category. 144 00:07:43,640 --> 00:07:45,040 Speaker 1: I think that's its own category. 145 00:07:45,120 --> 00:07:45,320 Speaker 3: Yeah. 146 00:07:45,400 --> 00:07:50,480 Speaker 2: Yeah, but the Great Chicago fire was not that's that's 147 00:07:50,520 --> 00:07:52,120 Speaker 2: just the one that like we had heard of. I 148 00:07:52,160 --> 00:07:55,480 Speaker 2: don't think it's even in the top ten. But the 149 00:07:55,560 --> 00:07:57,800 Speaker 2: deadliest fire happened on the same night. 150 00:07:58,440 --> 00:08:00,840 Speaker 1: Oh shit, so it took it. It happened. 151 00:08:00,920 --> 00:08:06,280 Speaker 2: It was like Wisconsin, so same region, same night, and 152 00:08:06,480 --> 00:08:10,920 Speaker 2: it took out just like millions of square acres. The 153 00:08:10,960 --> 00:08:13,560 Speaker 2: fact that they happen on the same night is also, 154 00:08:14,280 --> 00:08:18,480 Speaker 2: I don't know, it's instructive because you may remember dipshit 155 00:08:18,560 --> 00:08:22,280 Speaker 2: celebrities spreading the theory that someone was running around La 156 00:08:22,480 --> 00:08:25,880 Speaker 2: starting the La fires. Yeah, yeah, because why else would 157 00:08:25,920 --> 00:08:29,160 Speaker 2: totally distinct fires happen at the same time across the city. 158 00:08:29,920 --> 00:08:34,320 Speaker 2: And the answer is as simple and obvious as being like, 159 00:08:34,440 --> 00:08:37,920 Speaker 2: why would buildings in different parts of Miami get damaged 160 00:08:37,960 --> 00:08:42,480 Speaker 2: by the same hurricane. It's like there's a single event 161 00:08:42,960 --> 00:08:47,360 Speaker 2: happening that's causing It's it's like the way that wind 162 00:08:47,520 --> 00:08:51,600 Speaker 2: gets written out of the history of like what causes 163 00:08:51,640 --> 00:08:55,800 Speaker 2: wildfires is so weird. Like so I was like I 164 00:08:55,840 --> 00:08:57,640 Speaker 2: got this stuck in my head. I was like looking 165 00:08:57,880 --> 00:09:02,320 Speaker 2: up on like the story of the Peshtigo fire, and 166 00:09:02,840 --> 00:09:06,520 Speaker 2: there's this article on like weather dot gov that is 167 00:09:06,600 --> 00:09:09,520 Speaker 2: like the story of the Pestigo fire. Gleaned from survivor 168 00:09:09,559 --> 00:09:13,440 Speaker 2: accounts and conjecture is that railroad workers clearing land for 169 00:09:13,559 --> 00:09:18,079 Speaker 2: tracks that Sunday evening started a brush fire which somehow 170 00:09:18,559 --> 00:09:22,400 Speaker 2: became an inferno. It had been an unusually dry summer, 171 00:09:22,400 --> 00:09:23,640 Speaker 2: and the fire moved fast. 172 00:09:24,080 --> 00:09:26,239 Speaker 1: What was making it move fast? Yeah? 173 00:09:26,320 --> 00:09:28,840 Speaker 2: Do you think it was an A survivor said, it 174 00:09:28,880 --> 00:09:32,040 Speaker 2: moved so fast it was like a tornado. What's what's 175 00:09:32,120 --> 00:09:36,880 Speaker 2: tornado made out of? Is that stuff? What's that stuff 176 00:09:36,880 --> 00:09:37,840 Speaker 2: that's making that shit move? 177 00:09:38,320 --> 00:09:40,560 Speaker 1: Juice? But yeah, shout out to that cow. 178 00:09:40,640 --> 00:09:43,560 Speaker 2: For the Chicago fire, because you know that's the fact 179 00:09:43,520 --> 00:09:46,240 Speaker 2: that set it off. That's that's there's like an old 180 00:09:46,320 --> 00:09:50,480 Speaker 2: song about miss O'Leary's col or some shit that I 181 00:09:50,559 --> 00:09:53,360 Speaker 2: learned when I was in preschool. But I feel like 182 00:09:53,400 --> 00:09:55,560 Speaker 2: it's a good metaphor also for like how we read 183 00:09:55,640 --> 00:09:58,920 Speaker 2: stories in history and in the news now, like a 184 00:09:58,960 --> 00:10:02,440 Speaker 2: cow not so lantern, like cows presumably do all the 185 00:10:02,520 --> 00:10:06,000 Speaker 2: time without burning down the city. It just happened to 186 00:10:06,000 --> 00:10:09,600 Speaker 2: be in a generational windstorm, right, It's causing like the 187 00:10:09,640 --> 00:10:14,280 Speaker 2: biggest fires ever across the region, and everyone's like, man, 188 00:10:14,320 --> 00:10:18,640 Speaker 2: that fucking cow. Really fucking here, I was thinking here, 189 00:10:18,720 --> 00:10:20,679 Speaker 2: I thought it was like a parallel for like sports. 190 00:10:20,679 --> 00:10:22,840 Speaker 1: It's like, well, that was like a small market disaster. 191 00:10:23,640 --> 00:10:25,760 Speaker 2: I think it's also that. I think it's for sure 192 00:10:25,880 --> 00:10:29,079 Speaker 2: that yeah, but they just won the finals really where 193 00:10:29,080 --> 00:10:30,079 Speaker 2: they in Milwaukee? 194 00:10:30,559 --> 00:10:31,439 Speaker 1: Okay? 195 00:10:31,880 --> 00:10:37,040 Speaker 2: Yeah, but anyways, shout out to underrate a great pestigo fire, 196 00:10:37,080 --> 00:10:40,840 Speaker 2: but overall even more underrated the role of wind and fires. 197 00:10:40,920 --> 00:10:45,680 Speaker 2: Like consistently people were like at a front row seat 198 00:10:45,679 --> 00:10:47,000 Speaker 2: at that one. They want to hear about the wind. 199 00:10:47,040 --> 00:10:48,760 Speaker 2: They want to hear about the Santa Anna's blowing through 200 00:10:50,400 --> 00:10:51,880 Speaker 2: like a bellows into hell. 201 00:10:52,520 --> 00:10:56,240 Speaker 1: That's right, all right, myles. What is something you think 202 00:10:56,320 --> 00:10:57,080 Speaker 1: is overrated? 203 00:10:57,760 --> 00:11:02,160 Speaker 2: Just reading headlines general, because people, so many people do this, 204 00:11:02,200 --> 00:11:04,640 Speaker 2: and I get it. It feels like the headline should 205 00:11:04,720 --> 00:11:08,080 Speaker 2: give us. You're like, okay, I saw that headline. But 206 00:11:08,720 --> 00:11:11,880 Speaker 2: so many headlines are so fucking deceptive, especially right now, 207 00:11:11,920 --> 00:11:15,319 Speaker 2: like the amount of weird cope headlines that are written 208 00:11:15,360 --> 00:11:19,600 Speaker 2: about the administration are like dangerous where it's like, oh, 209 00:11:19,960 --> 00:11:23,800 Speaker 2: Trump humiliated by blah blah blah. It's like that's that 210 00:11:23,800 --> 00:11:26,679 Speaker 2: doesn't mean anything stopped, and you're you're going off of 211 00:11:26,760 --> 00:11:29,320 Speaker 2: you're trying to connect one tweet he did to be 212 00:11:29,480 --> 00:11:31,120 Speaker 2: like and he's mad about it. 213 00:11:31,160 --> 00:11:33,800 Speaker 1: So then what right, Like you're giving people. 214 00:11:33,679 --> 00:11:36,000 Speaker 2: A false sense of like progress or that people are 215 00:11:36,080 --> 00:11:39,120 Speaker 2: resisting effectively, and while there are people doing that, I 216 00:11:39,120 --> 00:11:42,920 Speaker 2: think it's just read the whole fucking thing. Like the 217 00:11:43,000 --> 00:11:45,800 Speaker 2: story we talked about last week, the Tilly Norwood thing, 218 00:11:46,600 --> 00:11:50,040 Speaker 2: the amount of headlines I've seen just since then, like 219 00:11:50,080 --> 00:11:51,520 Speaker 2: with you know, you know how people are kind of 220 00:11:51,559 --> 00:11:53,920 Speaker 2: late to certain stories and like then they finally get 221 00:11:53,920 --> 00:11:56,600 Speaker 2: their like Tilly Norwood thing out. There's like one advice 222 00:11:56,720 --> 00:12:01,200 Speaker 2: that was like Tilly Norwood has every like Hollywood scared 223 00:12:02,000 --> 00:12:04,640 Speaker 2: and yeah it wait, we talked about it and it 224 00:12:04,720 --> 00:12:07,640 Speaker 2: just kept going after that. I don't know what's wrong 225 00:12:07,679 --> 00:12:10,520 Speaker 2: with people that. I mean, they obviously all listened to 226 00:12:10,520 --> 00:12:13,280 Speaker 2: the dailies, like guys, I'm not obviously they fucked up 227 00:12:13,360 --> 00:12:14,160 Speaker 2: what's going on. 228 00:12:14,120 --> 00:12:15,920 Speaker 1: But like not to mention like like we're saying in 229 00:12:15,960 --> 00:12:16,240 Speaker 1: the show. 230 00:12:16,280 --> 00:12:20,680 Speaker 2: It's like according to the person who's like fortunes depend 231 00:12:20,800 --> 00:12:25,160 Speaker 2: on people talking about this, they are lying and saying, oh, yeah, 232 00:12:25,200 --> 00:12:27,960 Speaker 2: we've we've had we've been approached by talent agencies. I 233 00:12:27,960 --> 00:12:30,200 Speaker 2: can't name them, and I will announce in a very 234 00:12:30,240 --> 00:12:33,520 Speaker 2: future date, undefined future date who we will be signing 235 00:12:33,559 --> 00:12:36,800 Speaker 2: with again, just to get the impression that this thing 236 00:12:36,920 --> 00:12:40,840 Speaker 2: is sought after, or even people who didn't catch that episode, 237 00:12:41,160 --> 00:12:44,280 Speaker 2: like the mainstream media there you first of all, how 238 00:12:44,360 --> 00:12:47,800 Speaker 2: dare you? Yeah you we don't even want you listening 239 00:12:47,840 --> 00:12:51,319 Speaker 2: to this episode? Amy, Yeah, uh no, it's ah, this 240 00:12:51,400 --> 00:12:56,320 Speaker 2: is an AI actress who the person who invented this 241 00:12:56,440 --> 00:13:00,400 Speaker 2: AI actress was like, we're starting to get inquiry from 242 00:13:00,480 --> 00:13:04,960 Speaker 2: talent agencies about signing her probably like it really was 243 00:13:05,160 --> 00:13:10,640 Speaker 2: like that half assed yeah, and so many journalistic outlets 244 00:13:10,720 --> 00:13:12,800 Speaker 2: like so we talked about that. We talked about how 245 00:13:12,880 --> 00:13:17,440 Speaker 2: it was like really assuming a lot to be like, yeah, 246 00:13:17,440 --> 00:13:20,640 Speaker 2: this is gonna work. There's not much footage of her, 247 00:13:21,120 --> 00:13:23,600 Speaker 2: Like if you don't want that, stuff that's available is terrible. 248 00:13:23,880 --> 00:13:24,240 Speaker 1: Yeah. 249 00:13:24,320 --> 00:13:27,120 Speaker 2: If you look at the videos that they're sharing, like 250 00:13:27,160 --> 00:13:30,800 Speaker 2: it's all the same like five minutes of footage of 251 00:13:31,120 --> 00:13:36,680 Speaker 2: this AI actress and this person like brought like revealed 252 00:13:36,679 --> 00:13:40,120 Speaker 2: it at some conference and then said in an interview 253 00:13:40,200 --> 00:13:44,040 Speaker 2: that they were getting inbound inquiries from talent agencies. 254 00:13:44,200 --> 00:13:47,640 Speaker 1: But it was also like part of a work of satire. 255 00:13:47,080 --> 00:13:49,560 Speaker 2: In some ways, like, yeah, but it's not because she 256 00:13:49,760 --> 00:13:52,440 Speaker 2: launched a whole talent agency studio for it. 257 00:13:52,440 --> 00:13:54,280 Speaker 1: It's like, okay, sure you. 258 00:13:54,240 --> 00:13:58,560 Speaker 2: Can lull your way into the AI scam, but yeah, anyway, 259 00:13:58,720 --> 00:14:01,920 Speaker 2: read the headlines and because there's again in every way 260 00:14:02,040 --> 00:14:04,240 Speaker 2: they're trying to give people all kinds of weird impressions 261 00:14:04,240 --> 00:14:05,920 Speaker 2: and if you actually reader, like this is actually the 262 00:14:06,000 --> 00:14:08,720 Speaker 2: opposite of what you're implying in your headline, and I 263 00:14:08,760 --> 00:14:11,800 Speaker 2: just think it's just a sad state of things where 264 00:14:11,960 --> 00:14:16,960 Speaker 2: journalisms kind of are not even journalism, like content online content. 265 00:14:17,080 --> 00:14:21,520 Speaker 2: Mastuerating his news kind of means three hours ago, meet 266 00:14:21,560 --> 00:14:26,840 Speaker 2: Tilly Norwood, the AI actress making Hollywood very nervous. Yeah, 267 00:14:27,000 --> 00:14:31,800 Speaker 2: it's just like, I don't I don't know. Meet Tilly Norwood, 268 00:14:32,000 --> 00:14:36,560 Speaker 2: the AI actress whose creator is launching a AI talent 269 00:14:36,600 --> 00:14:41,720 Speaker 2: agency and claims that yeah is getting inbounding. 270 00:14:41,440 --> 00:14:46,840 Speaker 1: Or at this Tillia Norwood fucking sucks shit. Yeah, not 271 00:14:47,000 --> 00:14:47,480 Speaker 1: that good. 272 00:14:47,760 --> 00:14:51,920 Speaker 2: Yeah, and the inventor is capin doesn't know where to 273 00:14:52,600 --> 00:14:55,560 Speaker 2: lock her eyes. The one thing that actors are really 274 00:14:55,600 --> 00:15:00,400 Speaker 2: good at, uh cannot do anything with eye contact trouble 275 00:15:00,440 --> 00:15:02,800 Speaker 2: with one simple trick actors don't want you to know 276 00:15:03,160 --> 00:15:03,800 Speaker 2: that's true. 277 00:15:04,160 --> 00:15:07,760 Speaker 1: They and I'm not. I'm actually not allowed to say it. 278 00:15:07,760 --> 00:15:10,160 Speaker 1: It involves eye line and throat acting. 279 00:15:10,680 --> 00:15:15,600 Speaker 2: Uh, let's see my overrated products with like philosophy on 280 00:15:15,720 --> 00:15:18,440 Speaker 2: their box or like their their marketing material is like 281 00:15:18,480 --> 00:15:23,120 Speaker 2: written in a philosophical way. We have you know, our 282 00:15:23,200 --> 00:15:27,000 Speaker 2: kids like cereal. We have like these kids cereals that 283 00:15:27,760 --> 00:15:33,880 Speaker 2: are you know, the cleaner alternative in quotes to sure 284 00:15:34,040 --> 00:15:37,880 Speaker 2: you know, like posts and uh general mills and shit. 285 00:15:39,160 --> 00:15:43,240 Speaker 2: But like the this is just from their cereal box. 286 00:15:43,640 --> 00:15:46,240 Speaker 2: We believe in better. We believe in better health and 287 00:15:46,280 --> 00:15:49,080 Speaker 2: better taste. We believe in better breakfast. We believe in 288 00:15:49,120 --> 00:15:52,920 Speaker 2: better options like whole grains and non GMO ingredients. Better 289 00:15:53,200 --> 00:15:56,160 Speaker 2: is a simple idea that holds a whole bunch of promise. 290 00:15:56,640 --> 00:15:59,680 Speaker 2: That's why we've believed in better from the start. Why 291 00:15:59,720 --> 00:16:02,880 Speaker 2: are you you running for president on the Democratic ticket? 292 00:16:03,040 --> 00:16:07,360 Speaker 2: What do you tell like such just like mealy mouthed 293 00:16:08,040 --> 00:16:09,320 Speaker 2: DNC bullshit. 294 00:16:09,920 --> 00:16:13,480 Speaker 1: It's also in the same way that like, I don't know. 295 00:16:13,480 --> 00:16:16,680 Speaker 2: People have pointed out that the Democratic Party, you know, 296 00:16:16,920 --> 00:16:19,720 Speaker 2: there's a definition of fascism as like co opting the 297 00:16:19,800 --> 00:16:22,920 Speaker 2: language of the left right, and it's like what it's 298 00:16:22,960 --> 00:16:25,560 Speaker 2: what rushes in when there is a need for change 299 00:16:25,640 --> 00:16:31,320 Speaker 2: that leftist politics would deliver, but it that is being blocked, 300 00:16:31,520 --> 00:16:35,520 Speaker 2: and so they take the language of movements and revolution 301 00:16:36,280 --> 00:16:40,800 Speaker 2: and put it towards the exercise of power for power 302 00:16:40,880 --> 00:16:44,040 Speaker 2: sake and like controlling people and violence. But I think 303 00:16:44,080 --> 00:16:47,520 Speaker 2: like marketing has been doing this four years, and I 304 00:16:47,560 --> 00:16:49,760 Speaker 2: think it's only going like as people are more and 305 00:16:49,760 --> 00:16:53,080 Speaker 2: more desperate. I don't know, I feel like it will 306 00:16:53,080 --> 00:16:56,320 Speaker 2: only ring more and more hollow to people when you 307 00:16:56,320 --> 00:16:59,120 Speaker 2: know it's on, like shampoo bottles is everywhere, man like 308 00:16:59,200 --> 00:17:00,920 Speaker 2: reading that, yeah, you know what I mean. 309 00:17:01,280 --> 00:17:03,240 Speaker 1: Yeah, it's such wasted space. 310 00:17:03,280 --> 00:17:06,119 Speaker 2: Like I feel like I had this same experience after 311 00:17:06,119 --> 00:17:09,760 Speaker 2: the fire because there's so many like home goods and like, yeah, 312 00:17:09,920 --> 00:17:12,639 Speaker 2: you're donated, like it's all the trees and stuff, and 313 00:17:12,680 --> 00:17:15,359 Speaker 2: like you're reading like it's lotion and there's like a 314 00:17:15,400 --> 00:17:19,280 Speaker 2: fucking story on it about what this company was, Like 315 00:17:19,320 --> 00:17:21,760 Speaker 2: I don't know, dude, does it fucking work? 316 00:17:21,920 --> 00:17:22,919 Speaker 1: And like, I'm not going to read this. 317 00:17:22,960 --> 00:17:24,720 Speaker 2: I'm not compelled by it because I think most of 318 00:17:24,760 --> 00:17:26,800 Speaker 2: the time people are just like is it affordable? 319 00:17:27,400 --> 00:17:28,119 Speaker 1: Right? Great? 320 00:17:28,200 --> 00:17:30,800 Speaker 2: I don't give a fuck about your like weird backstory 321 00:17:30,800 --> 00:17:31,560 Speaker 2: you're trying to create. 322 00:17:31,800 --> 00:17:32,280 Speaker 1: We got a. 323 00:17:32,240 --> 00:17:36,679 Speaker 2: Little literature for you to read before you open your bar, 324 00:17:36,960 --> 00:17:41,080 Speaker 2: soap twenty dollars. Right, but yeah, I mean I talked 325 00:17:41,160 --> 00:17:45,199 Speaker 2: last week about the language of community being appropriated. Like 326 00:17:45,240 --> 00:17:49,240 Speaker 2: the hospital that I was at last week called a 327 00:17:49,280 --> 00:17:52,919 Speaker 2: waiting room a town square. And I feel like like 328 00:17:53,000 --> 00:17:56,359 Speaker 2: malls have been doing that shit forever, Like marketing is 329 00:17:57,080 --> 00:18:01,840 Speaker 2: just very good at sensing what is needed and just 330 00:18:01,840 --> 00:18:04,600 Speaker 2: like appropriate what he's lacking. Yeah, just like pumping it 331 00:18:04,640 --> 00:18:07,160 Speaker 2: into our veins, like the false version of right now 332 00:18:07,560 --> 00:18:09,959 Speaker 2: that we long for for a good reason. Yeah, it's 333 00:18:10,000 --> 00:18:13,080 Speaker 2: like right now people are really aspiring to not feel alone. 334 00:18:13,440 --> 00:18:16,760 Speaker 2: So let's just do a little tweaks. Let's let's get 335 00:18:16,760 --> 00:18:18,640 Speaker 2: in there a couple of tweaks. Man, all right, let's 336 00:18:18,640 --> 00:18:21,480 Speaker 2: take a quick break and we'll be right back. 337 00:18:31,280 --> 00:18:35,560 Speaker 1: And we're big. Oh, we're back, all right. Some news 338 00:18:35,560 --> 00:18:36,640 Speaker 1: from the courts. 339 00:18:37,760 --> 00:18:42,520 Speaker 2: Diddy has been sentenced to five years yeah yeah, yeah, 340 00:18:42,760 --> 00:18:45,560 Speaker 2: fifty months in prison, which I'm just trusting their math 341 00:18:45,640 --> 00:18:51,200 Speaker 2: on this one. That equals out to about five years 342 00:18:51,359 --> 00:18:54,720 Speaker 2: four Let me see, four times twelve is forty eight 343 00:18:55,320 --> 00:18:56,640 Speaker 2: oh two. 344 00:18:56,720 --> 00:18:58,720 Speaker 1: But he also did one already. 345 00:18:58,440 --> 00:19:02,239 Speaker 2: Has done a year already the year already. I mean, 346 00:19:02,280 --> 00:19:06,480 Speaker 2: he's gonna appeal, I'm sure, but yeah, either way, he's 347 00:19:06,240 --> 00:19:08,560 Speaker 2: he was sentenced to last at the end of last 348 00:19:08,560 --> 00:19:12,119 Speaker 2: week for transportation to engage in prostitution I think was 349 00:19:12,160 --> 00:19:14,240 Speaker 2: the actual charge that he. 350 00:19:14,280 --> 00:19:15,520 Speaker 1: Was convicted of. 351 00:19:16,400 --> 00:19:19,959 Speaker 2: So yeah, that that seems to be nearing an endpoint 352 00:19:20,000 --> 00:19:24,080 Speaker 2: for that saga. But then inother nudes, other news, did 353 00:19:24,119 --> 00:19:25,160 Speaker 2: I say other nudes? 354 00:19:25,560 --> 00:19:26,800 Speaker 1: Yeah, yeah, you could. 355 00:19:27,040 --> 00:19:33,080 Speaker 2: You did say that, Yeah, that's that was another time 356 00:19:33,960 --> 00:19:37,040 Speaker 2: Glaine Maxwell, she was hoping the Supreme Court would do 357 00:19:37,119 --> 00:19:40,480 Speaker 2: her a solid and she's like, I need my case thrown. 358 00:19:40,560 --> 00:19:44,080 Speaker 2: I overturned my conviction because of the deal that was. 359 00:19:44,040 --> 00:19:46,040 Speaker 1: Made with the Costa. Uh. 360 00:19:46,119 --> 00:19:50,920 Speaker 2: They they were very they just quickly rejected that attempt, 361 00:19:52,000 --> 00:19:53,399 Speaker 2: and I you know, I think, you know, she was 362 00:19:53,400 --> 00:19:55,760 Speaker 2: hoping to get a retrial, but apparently it was a 363 00:19:55,800 --> 00:19:58,440 Speaker 2: bridge too far for a high court that has been 364 00:19:58,480 --> 00:20:00,919 Speaker 2: on a streak of being on the worst side of 365 00:20:00,960 --> 00:20:01,879 Speaker 2: recorded history. 366 00:20:01,920 --> 00:20:02,960 Speaker 1: So I was surprised. 367 00:20:02,960 --> 00:20:05,520 Speaker 2: I mean I was, and I wasn't surprising, like that's 368 00:20:05,600 --> 00:20:09,520 Speaker 2: just such an abject failure. But again, it's been abject 369 00:20:09,520 --> 00:20:12,919 Speaker 2: failure after abject failure. Yeah, so she will continue to 370 00:20:12,920 --> 00:20:17,680 Speaker 2: serve her twenty year sentence a pretty nice prison and 371 00:20:17,720 --> 00:20:22,479 Speaker 2: a pretty nice prison, Yeah, she because she tried to 372 00:20:22,920 --> 00:20:25,639 Speaker 2: help the DOJ act like Donald Trump has nothing to 373 00:20:25,640 --> 00:20:27,520 Speaker 2: do with anything Epstein ever did, and be like, well, 374 00:20:27,520 --> 00:20:30,080 Speaker 2: I never saw anything untoward. Her reward was to be 375 00:20:30,240 --> 00:20:34,400 Speaker 2: moved to a low security prison, which violated their own 376 00:20:34,440 --> 00:20:36,520 Speaker 2: regulations in terms of having like sex. 377 00:20:36,320 --> 00:20:37,320 Speaker 1: Criminals in there. 378 00:20:37,760 --> 00:20:40,080 Speaker 2: At least she's now hanging out with Elizabeth Holmes and 379 00:20:40,160 --> 00:20:42,240 Speaker 2: Jen Shaw from the Real Housewives of Salt Lake City. 380 00:20:42,240 --> 00:20:43,919 Speaker 1: They're all on necessary So I mean to me in 381 00:20:43,960 --> 00:20:46,560 Speaker 1: this prison for reasons I don't want to get into. 382 00:20:46,680 --> 00:20:51,240 Speaker 1: I don't deserve this. They keep making me put money 383 00:20:51,240 --> 00:20:54,720 Speaker 1: in their accounts. Their commentsary. 384 00:20:55,000 --> 00:20:59,880 Speaker 2: All right, so we all remember the Army Birthday parade, True, 385 00:21:01,240 --> 00:21:04,560 Speaker 2: and it didn't go that well. That was back in June. 386 00:21:06,359 --> 00:21:12,080 Speaker 2: The I think defining image for me was the tanks 387 00:21:12,119 --> 00:21:15,640 Speaker 2: silently squeaking alone, driving down the streets. 388 00:21:15,200 --> 00:21:19,679 Speaker 1: Of Washington, d C. To like a handful of people. 389 00:21:20,000 --> 00:21:23,400 Speaker 2: And I'm just like, like sounding like just the oldest 390 00:21:23,480 --> 00:21:24,440 Speaker 2: bed possible. 391 00:21:24,600 --> 00:21:27,560 Speaker 1: Yeah, just the squeakiest tanks ever. Yeah. 392 00:21:27,800 --> 00:21:30,879 Speaker 2: So Trump kind of took that in as an l 393 00:21:31,119 --> 00:21:33,879 Speaker 2: and he was like, we're doing the Navies two hundred 394 00:21:33,880 --> 00:21:40,080 Speaker 2: and fiftieth birthday celebration, and it's gonna be macho, be manly, macho. 395 00:21:40,920 --> 00:21:44,919 Speaker 2: Basically a military stunt show is what he wanted. And 396 00:21:44,960 --> 00:21:47,639 Speaker 2: he got it because they know he's dumb, and they're like, 397 00:21:47,680 --> 00:21:50,240 Speaker 2: just make it loud and a bunch of shit happening, 398 00:21:50,240 --> 00:21:51,840 Speaker 2: and he's gonna love it. There was like a jet 399 00:21:51,840 --> 00:21:55,159 Speaker 2: that had like President Trump like emblazoned on it, and 400 00:21:55,200 --> 00:21:57,800 Speaker 2: he's like, yes, great, good, Like what else could you 401 00:21:57,840 --> 00:22:00,960 Speaker 2: make it look look like it's a transform that transforms 402 00:22:01,000 --> 00:22:05,280 Speaker 2: into me exactly exactly. Then he you know, there's like 403 00:22:05,359 --> 00:22:08,160 Speaker 2: jets flying overhead. They just shot a bunch of shit 404 00:22:08,240 --> 00:22:10,760 Speaker 2: into the sea like missiles, and like Artiller, it's just 405 00:22:10,800 --> 00:22:14,480 Speaker 2: like stupid, just like and make the guns go boom like. 406 00:22:14,880 --> 00:22:15,560 Speaker 1: A bang bang. 407 00:22:16,400 --> 00:22:20,280 Speaker 2: Also, how they did Charlie Kirk's memorial the person who there, 408 00:22:20,440 --> 00:22:24,520 Speaker 2: you know, everybody was mourning and they turned it like 409 00:22:25,000 --> 00:22:27,760 Speaker 2: it looked like a WWE wrestling event of course, like 410 00:22:27,800 --> 00:22:31,080 Speaker 2: there was just explosions and fireworks and just some of 411 00:22:31,080 --> 00:22:32,000 Speaker 2: the wildest shit. 412 00:22:32,160 --> 00:22:33,480 Speaker 1: I mean, yeah, this is a huge thing. 413 00:22:33,520 --> 00:22:35,680 Speaker 2: I remember when my grandmother passed away, they were trying 414 00:22:35,720 --> 00:22:39,680 Speaker 2: to prevent me from doing a pyrotechnics display in the funeral. 415 00:22:39,320 --> 00:22:45,280 Speaker 1: Home, and they won but one again. Yeah yeah, not 416 00:22:45,400 --> 00:22:47,680 Speaker 1: Trump's America, but so yeah, they they. 417 00:22:47,880 --> 00:22:49,880 Speaker 2: He also had a bunch of sailors who aren't even 418 00:22:49,880 --> 00:22:52,800 Speaker 2: being paid right now because of they shut down chanting 419 00:22:52,840 --> 00:22:55,400 Speaker 2: the USA. I know people who went to an air 420 00:22:55,440 --> 00:22:59,679 Speaker 2: show this weekend and like he had to settle for 421 00:23:00,520 --> 00:23:04,720 Speaker 2: the Canadian Air Force because all the US air forces 422 00:23:04,800 --> 00:23:08,119 Speaker 2: come down here, I know, presumably like on a bunch 423 00:23:08,119 --> 00:23:09,080 Speaker 2: of planes. 424 00:23:08,720 --> 00:23:11,680 Speaker 1: Made out of wood maple syrup. 425 00:23:12,160 --> 00:23:17,040 Speaker 2: Yeah, but they the official explanation was like that, you know, 426 00:23:17,080 --> 00:23:20,119 Speaker 2: there's a government shutdown, but apparently they were all just 427 00:23:20,200 --> 00:23:23,320 Speaker 2: doing the big boom booms for dadda. Yeah, he did 428 00:23:23,359 --> 00:23:25,080 Speaker 2: tell them, He's like, look, guys, I know you're not 429 00:23:25,080 --> 00:23:26,280 Speaker 2: getting paid, but I got you. 430 00:23:26,440 --> 00:23:27,040 Speaker 1: I got you. 431 00:23:27,160 --> 00:23:29,840 Speaker 2: Which everyone wants to hear when they're owed money is 432 00:23:29,880 --> 00:23:33,720 Speaker 2: the reassurances that Donald Trump has their back. But yeah, 433 00:23:33,760 --> 00:23:36,080 Speaker 2: like he would. And while he was at this birthday, 434 00:23:36,200 --> 00:23:38,800 Speaker 2: he gave us I guess we call it a speech. 435 00:23:39,560 --> 00:23:43,000 Speaker 2: I think to anyone who hasn't ever had an elderly 436 00:23:43,040 --> 00:23:45,639 Speaker 2: relative and an assisted living facility that you went to 437 00:23:45,720 --> 00:23:48,440 Speaker 2: visit and they just are like, please don't leave. 438 00:23:49,560 --> 00:23:52,679 Speaker 1: Please, Can I tell you all kinds of things talking. 439 00:23:53,200 --> 00:23:56,760 Speaker 2: Yeah, he did a lonely old man monologue for a 440 00:23:56,760 --> 00:24:00,800 Speaker 2: captive audience, and rather than talking about any thing relevant, 441 00:24:00,880 --> 00:24:03,080 Speaker 2: he just it was all over the place. He just 442 00:24:03,520 --> 00:24:06,240 Speaker 2: did the same shit half the country as your fucking enemy. 443 00:24:06,440 --> 00:24:08,960 Speaker 1: Wow, fucking terrifying. 444 00:24:09,520 --> 00:24:13,000 Speaker 2: And then he said this ship there's this like lie 445 00:24:13,040 --> 00:24:16,000 Speaker 2: he's been saying. Where he fucking knew he's he said 446 00:24:16,040 --> 00:24:18,800 Speaker 2: he was. He flagged bin Laden as like being a 447 00:24:18,880 --> 00:24:21,240 Speaker 2: problem a full year before nine. 448 00:24:21,119 --> 00:24:24,040 Speaker 1: To eleven happened. Knew it and I knew it. And 449 00:24:24,160 --> 00:24:26,120 Speaker 1: in this he's talking about it. And I told Pete. 450 00:24:26,280 --> 00:24:28,119 Speaker 2: I don't know if he meant recently, like he's like 451 00:24:28,160 --> 00:24:30,800 Speaker 2: I was just telling Pete or maybe he's anyway, here's 452 00:24:30,840 --> 00:24:33,880 Speaker 2: Donald Trump saying I wrote a book I think where 453 00:24:33,920 --> 00:24:36,720 Speaker 2: I think I said, oh Po Sama Obama, bin Laden 454 00:24:36,880 --> 00:24:37,280 Speaker 2: was bad. 455 00:24:37,880 --> 00:24:39,440 Speaker 1: Here here's Trump true. 456 00:24:39,440 --> 00:24:42,440 Speaker 3: But I said one year before to Pete Hegseth, I said, 457 00:24:42,480 --> 00:24:46,879 Speaker 3: one year before Wispy in the book, I wrote whatever 458 00:24:47,000 --> 00:24:49,520 Speaker 3: that held the title. I can't tell you, but I 459 00:24:49,560 --> 00:24:51,879 Speaker 3: can't tell you there's a page and they're devoted to 460 00:24:51,960 --> 00:24:54,919 Speaker 3: the fact that I saw somebody named Osama bin Laden 461 00:24:55,400 --> 00:24:57,520 Speaker 3: and I didn't like it, and you gotta take care 462 00:24:57,600 --> 00:24:57,960 Speaker 3: of him. 463 00:24:58,400 --> 00:24:59,080 Speaker 1: They didn't do it. 464 00:24:59,119 --> 00:25:01,200 Speaker 3: A year later he blew up the World Trade Center. 465 00:25:01,280 --> 00:25:04,080 Speaker 3: So you gotta take a little credit because nobody else 466 00:25:04,160 --> 00:25:05,399 Speaker 3: is going to give it to me, you know, the 467 00:25:05,480 --> 00:25:08,639 Speaker 3: old sort. They don't give you credit, Just take it yourself. 468 00:25:09,720 --> 00:25:11,240 Speaker 3: And it was the US Navy that. 469 00:25:11,240 --> 00:25:15,520 Speaker 5: Dumped anyways, in the Navy, you guys get rid of 470 00:25:15,520 --> 00:25:19,880 Speaker 5: his body or body over yeah, yeah, yeah, the name 471 00:25:19,920 --> 00:25:22,919 Speaker 5: of the book or whatever the hell it was called. 472 00:25:21,800 --> 00:25:26,360 Speaker 2: I mean, to be fair, why would he remember a thing? 473 00:25:26,400 --> 00:25:29,600 Speaker 2: He absolutely put no work into it all. Yeah, so 474 00:25:30,560 --> 00:25:33,040 Speaker 2: I think I guess it's fair that he wouldn't know that, 475 00:25:33,119 --> 00:25:35,760 Speaker 2: But it also just the claim is utter bullshit. Like 476 00:25:35,800 --> 00:25:37,679 Speaker 2: the thing he's talking about in the book was basically 477 00:25:37,720 --> 00:25:39,800 Speaker 2: a description about how the news cycle would like move 478 00:25:39,840 --> 00:25:43,360 Speaker 2: on from one villain to the next. They're they're too 479 00:25:43,359 --> 00:25:47,359 Speaker 2: hard on this guy bin Laden. Yeah, they're just looking 480 00:25:47,359 --> 00:25:50,000 Speaker 2: for the villain of the week. Well, it goes been 481 00:25:50,119 --> 00:25:54,760 Speaker 2: Laden to me to you know, everybody's gotta go. You 482 00:25:54,800 --> 00:25:55,920 Speaker 2: gotta go take care of it. 483 00:25:56,040 --> 00:25:58,000 Speaker 1: You know what I mean, you gotta take care of him. 484 00:25:58,000 --> 00:26:00,159 Speaker 2: But again, he was just sort of like it's it's 485 00:26:00,200 --> 00:26:02,840 Speaker 2: not him saying he's a clear and present danger. He 486 00:26:03,000 --> 00:26:05,040 Speaker 2: just sort of like mentions the name and he's like, yeah, 487 00:26:05,040 --> 00:26:06,800 Speaker 2: there's a whole page in there. The guy that I 488 00:26:06,840 --> 00:26:08,760 Speaker 2: had wrote the bike right right, the book for me 489 00:26:08,840 --> 00:26:12,840 Speaker 2: put in there. Yeah, there were good so many like that. 490 00:26:12,840 --> 00:26:16,560 Speaker 2: That's a thing that we now know is that nine 491 00:26:16,560 --> 00:26:21,200 Speaker 2: to eleven could have been avoided because everybody, fucking everybody 492 00:26:21,280 --> 00:26:25,359 Speaker 2: knew been loud. Like you've bin Laden was already famous. Yeah, yeah, 493 00:26:25,400 --> 00:26:27,960 Speaker 2: I was deeply unplugged from the world at that time. 494 00:26:28,000 --> 00:26:30,439 Speaker 2: I could have told you bin Laden wasn't a huge 495 00:26:30,480 --> 00:26:32,840 Speaker 2: fan of the United States like he was. He was 496 00:26:32,960 --> 00:26:35,840 Speaker 2: a celebrity. They were doing like interviews with him on 497 00:26:36,080 --> 00:26:38,840 Speaker 2: fucking sixty minutes and shit about like how this guy 498 00:26:38,960 --> 00:26:41,280 Speaker 2: he was like the face of global terror. 499 00:26:41,600 --> 00:26:43,960 Speaker 1: Yeah, and he's like I said, bad guy. 500 00:26:44,040 --> 00:26:47,600 Speaker 2: He's a bad ombre and nobody gives me credit for that. 501 00:26:47,800 --> 00:26:51,520 Speaker 2: It's like what I think everyone did, you fucking weird. 502 00:26:51,680 --> 00:26:54,719 Speaker 2: I mean, also, like you just remember the fucking USS 503 00:26:54,720 --> 00:26:58,040 Speaker 2: coal bombing. That was like from I think for most 504 00:26:58,040 --> 00:27:00,520 Speaker 2: people who maybe weren't in totally in tune. That was 505 00:27:00,520 --> 00:27:04,320 Speaker 2: like the beginnings of Osama people being like Osama bin Laden. Yeah. 506 00:27:04,359 --> 00:27:05,359 Speaker 1: Yeah. 507 00:27:05,440 --> 00:27:08,280 Speaker 2: He gave that speech backed by a sea of sailors 508 00:27:08,320 --> 00:27:11,600 Speaker 2: looking like the cast from a Broadway musical about the Navy. 509 00:27:11,720 --> 00:27:14,400 Speaker 2: I didn't know they did those little like navy blue 510 00:27:14,480 --> 00:27:16,320 Speaker 2: bandanas around their neck. 511 00:27:16,359 --> 00:27:20,040 Speaker 1: Still, it's like they look like little boy blue. Like 512 00:27:20,119 --> 00:27:21,399 Speaker 1: it's it's so cute. 513 00:27:21,560 --> 00:27:24,600 Speaker 2: But they're all just standing there, you know that after 514 00:27:24,720 --> 00:27:28,840 Speaker 2: the you know, failed army parade, like they juiced this 515 00:27:28,960 --> 00:27:34,400 Speaker 2: and after Pete Hegseeth's like they seem remarkably comfortable just bombing. 516 00:27:34,880 --> 00:27:38,359 Speaker 2: You know, they're away up there, just rambling on, and 517 00:27:38,400 --> 00:27:42,120 Speaker 2: everyone's just like it's because they can't read the room, 518 00:27:42,400 --> 00:27:45,080 Speaker 2: you know, they have no they just think because people 519 00:27:45,160 --> 00:27:49,159 Speaker 2: are physically there, because they've been ordered to means you know, 520 00:27:49,880 --> 00:27:52,320 Speaker 2: total enthusiasm. And while there are many people who are 521 00:27:52,440 --> 00:27:55,880 Speaker 2: enthusiastic about it, like they're just so used to being 522 00:27:55,880 --> 00:27:58,480 Speaker 2: around sikaphants, it's just the mere presence of people as 523 00:27:58,520 --> 00:28:00,240 Speaker 2: they talk as always like and this is a friend, 524 00:28:00,240 --> 00:28:02,560 Speaker 2: the audience that I can't bomb in front of even 525 00:28:02,600 --> 00:28:04,960 Speaker 2: if I tried. They loved me, folks. They wrote my 526 00:28:05,040 --> 00:28:07,360 Speaker 2: name on a plane and made a go boom. 527 00:28:08,200 --> 00:28:11,680 Speaker 1: They shot a missile into the air. We all right. 528 00:28:11,760 --> 00:28:15,440 Speaker 2: The Trump administration continues to use ICE to evade US cities, 529 00:28:16,600 --> 00:28:20,199 Speaker 2: as Trump described it to be a testing ground, a 530 00:28:20,280 --> 00:28:21,600 Speaker 2: practice for war. 531 00:28:22,200 --> 00:28:22,879 Speaker 1: In Chicago. 532 00:28:23,119 --> 00:28:26,480 Speaker 2: He also mentioned, as we talked about last week, that 533 00:28:26,560 --> 00:28:29,840 Speaker 2: he was planning on targeting Portland, but in an emergency 534 00:28:29,840 --> 00:28:35,080 Speaker 2: hearing on Sunday, US District Judge Karen Immergut temporarily blocked 535 00:28:35,119 --> 00:28:38,240 Speaker 2: the Trump administration from deploying National Guard troops from Texas 536 00:28:38,280 --> 00:28:41,040 Speaker 2: and California to Portland. That was the second time that 537 00:28:41,120 --> 00:28:43,760 Speaker 2: she had to do that, so she like put a 538 00:28:43,760 --> 00:28:47,960 Speaker 2: block on them using the Oregon National Guard. And then 539 00:28:48,040 --> 00:28:50,480 Speaker 2: they were like okay, well she didn't say we couldn't 540 00:28:50,480 --> 00:28:54,280 Speaker 2: do Texas and California, and so she was like, I 541 00:28:54,360 --> 00:28:59,680 Speaker 2: mean okay, well implied, okay, fine anywhere then. 542 00:29:00,440 --> 00:29:00,640 Speaker 1: Yeah. 543 00:29:00,680 --> 00:29:04,000 Speaker 2: The lawyer that was representing the administration, like the judge 544 00:29:04,000 --> 00:29:06,320 Speaker 2: asked like, are you just trying to circumvent my order 545 00:29:06,560 --> 00:29:08,560 Speaker 2: by then just being like well if it can't be 546 00:29:08,760 --> 00:29:12,040 Speaker 2: or the woobo California, Texas, Yeah, yeah, and I mean 547 00:29:12,360 --> 00:29:16,240 Speaker 2: the again, it's a war quote unquote war zone in Portland, 548 00:29:17,000 --> 00:29:21,080 Speaker 2: and not because of DHS goons deploying there and pepper 549 00:29:21,120 --> 00:29:25,840 Speaker 2: Spring and like releasing chemical munitions on protesters. It's because 550 00:29:25,840 --> 00:29:27,280 Speaker 2: it's such a war zone. It's out of control. I mean, 551 00:29:27,320 --> 00:29:29,200 Speaker 2: don't look at the crime statistics. Apparently it's one of 552 00:29:29,240 --> 00:29:31,640 Speaker 2: the safest places in the US. But look, that's not 553 00:29:31,760 --> 00:29:34,840 Speaker 2: the point. It's to inflict as much pain and suffering 554 00:29:35,080 --> 00:29:38,400 Speaker 2: on these democratically led cities as possible. 555 00:29:38,600 --> 00:29:39,960 Speaker 1: But you know, it's Portland. 556 00:29:40,080 --> 00:29:44,480 Speaker 2: Obviously, this is a liberal activist judge. Who oh wait, 557 00:29:44,600 --> 00:29:45,920 Speaker 2: it's a Trump appointee. 558 00:29:46,200 --> 00:29:46,400 Speaker 1: Yeah. 559 00:29:46,480 --> 00:29:49,600 Speaker 2: Previously we're up the US District Attorney for Oregon after 560 00:29:49,640 --> 00:29:51,040 Speaker 2: being appointed by George W. 561 00:29:51,160 --> 00:29:51,760 Speaker 1: Bush. 562 00:29:51,920 --> 00:29:54,600 Speaker 2: Before that, she worked for Kenneth Starr during the Bill 563 00:29:54,640 --> 00:29:55,880 Speaker 2: Clinton sex scandal. 564 00:29:56,640 --> 00:29:59,320 Speaker 1: Yeah, but that's the thing. 565 00:29:59,520 --> 00:30:03,400 Speaker 2: Yeah, kind of a conservative judges to like hold hold 566 00:30:03,480 --> 00:30:07,040 Speaker 2: things together. That's yeah, exactly, good things are, right, Like 567 00:30:07,080 --> 00:30:09,640 Speaker 2: I mean the con I mean, like I'm kind of 568 00:30:09,640 --> 00:30:13,120 Speaker 2: a backwards person, but the Constitution, I still think you 569 00:30:13,240 --> 00:30:16,040 Speaker 2: got to like I agree that part at least we 570 00:30:16,080 --> 00:30:17,640 Speaker 2: overlap on that thing. 571 00:30:18,120 --> 00:30:18,600 Speaker 1: That part. 572 00:30:18,960 --> 00:30:21,120 Speaker 2: Yeah, but yeah, like I mean this is like one 573 00:30:21,160 --> 00:30:23,320 Speaker 2: of those things or even like the like you know 574 00:30:23,440 --> 00:30:26,960 Speaker 2: Portland police or even like, yeah, we didn't really witness 575 00:30:26,960 --> 00:30:31,160 Speaker 2: any criminal activity from protesters. This is just they're they're 576 00:30:31,160 --> 00:30:35,240 Speaker 2: fucking These federal agitators are coming in and again doing 577 00:30:35,280 --> 00:30:38,440 Speaker 2: every single thing they can to try and escalate the situation, 578 00:30:38,680 --> 00:30:42,480 Speaker 2: to begin to really clamp down on everything like free 579 00:30:42,480 --> 00:30:45,000 Speaker 2: speech and like militarizing cities. 580 00:30:45,120 --> 00:30:49,680 Speaker 1: But yeah, the tour continues. I mean, miles, you're in 581 00:30:49,720 --> 00:30:53,640 Speaker 1: the near the war zone outside of the capitol. Yeah, 582 00:30:53,760 --> 00:30:54,400 Speaker 1: it's a war zone. 583 00:30:54,640 --> 00:30:57,080 Speaker 2: Just walking you just keeping your head down, bullet sailing 584 00:30:57,120 --> 00:30:57,720 Speaker 2: over your head. 585 00:30:58,240 --> 00:31:01,400 Speaker 1: Well what do you yeah? People, man? 586 00:31:01,440 --> 00:31:04,520 Speaker 2: I went to a pub to watch Arsenal play over 587 00:31:04,560 --> 00:31:08,880 Speaker 2: the weekend with comedian Jamel Johnson. Who's who's out here 588 00:31:08,920 --> 00:31:10,880 Speaker 2: right now? So we hung out for a second and 589 00:31:10,920 --> 00:31:13,719 Speaker 2: it was crazy. There are these two black guys smoking 590 00:31:13,760 --> 00:31:17,960 Speaker 2: weed together who looked like comedians. Could have been me, 591 00:31:18,120 --> 00:31:20,760 Speaker 2: I don't know, or some other guy. It's it smells 592 00:31:20,800 --> 00:31:23,440 Speaker 2: like weed all over the place. There's a lot of 593 00:31:23,480 --> 00:31:28,080 Speaker 2: people wearing boat shoes. Just an absolute war zone out here, 594 00:31:28,560 --> 00:31:31,840 Speaker 2: you knowable war zone, all those boat shoes. Like when 595 00:31:32,280 --> 00:31:39,280 Speaker 2: being around SEC call like SEC football fans is actually, man, 596 00:31:39,320 --> 00:31:42,280 Speaker 2: when you start seeing motherfuckers pull up in their golf 597 00:31:42,360 --> 00:31:46,920 Speaker 2: polos for like Clemson or like I think North Carolina 598 00:31:46,960 --> 00:31:48,840 Speaker 2: played Clemson over the weekend. 599 00:31:48,680 --> 00:31:51,120 Speaker 1: And just the amount of golf poles. 600 00:31:51,480 --> 00:31:54,480 Speaker 2: So it's like this is what DC like, this is 601 00:31:54,960 --> 00:31:58,720 Speaker 2: they're here, baby, you need an sec golf polo there here. 602 00:31:58,760 --> 00:32:00,800 Speaker 1: And it was my favorite thing. I kept fucking with people. 603 00:32:01,360 --> 00:32:03,560 Speaker 2: I'd be like, come on, I guess, come on, tigers, 604 00:32:04,080 --> 00:32:07,640 Speaker 2: and I'm like, yeah, man, I don't even know what 605 00:32:07,680 --> 00:32:10,880 Speaker 2: they're fucking saying. Are yeah, oh all right, tar heels 606 00:32:10,920 --> 00:32:16,280 Speaker 2: are like hell yeah, man, right, okay, I just like tigers. Nah, 607 00:32:16,400 --> 00:32:21,720 Speaker 2: that's tiger uppercut. You know, that's street fighter. Just a 608 00:32:21,720 --> 00:32:25,920 Speaker 2: bunch of dudes in polos tucked into their khakis with 609 00:32:26,120 --> 00:32:29,280 Speaker 2: like fluffy bangs, just saying fair enough, fair enough to 610 00:32:29,360 --> 00:32:35,920 Speaker 2: each other, the fuck you dude, all right, fair enough, 611 00:32:36,080 --> 00:32:39,600 Speaker 2: fair enough. Fu you fuck the tar heels. We're going 612 00:32:39,640 --> 00:32:43,280 Speaker 2: fair enough, dude, We're going there, all right, fair enough. Anyways, 613 00:32:43,480 --> 00:32:45,920 Speaker 2: let's take get another quick break, we'll come back. We'll 614 00:32:45,920 --> 00:33:00,720 Speaker 2: talk t Swift and others at the movie Yeah, and 615 00:33:00,920 --> 00:33:04,760 Speaker 2: to her back. And this weekend was about a different 616 00:33:04,800 --> 00:33:13,240 Speaker 2: kind of swift boats. Uh, Taylor Swift fucking John Kerry reference. Uh, 617 00:33:13,320 --> 00:33:17,320 Speaker 2: Taylor Swift pulled a boat and uh it was a 618 00:33:17,320 --> 00:33:19,360 Speaker 2: big one. It was the life of a show girl 619 00:33:20,560 --> 00:33:21,160 Speaker 2: cruise ship. 620 00:33:21,400 --> 00:33:22,680 Speaker 1: I'm gonna stop with this metaphor. 621 00:33:23,200 --> 00:33:28,120 Speaker 2: Dropped on Friday, got uh pretty mixed for reviews. You know, 622 00:33:28,200 --> 00:33:30,360 Speaker 2: I think the people that I follow on social media 623 00:33:30,400 --> 00:33:35,400 Speaker 2: were uh poised to not love it, and so that's 624 00:33:35,440 --> 00:33:36,440 Speaker 2: mostly what I got. 625 00:33:38,520 --> 00:33:42,600 Speaker 1: I Swift the lyrics that I was like, for real. 626 00:33:42,520 --> 00:33:42,880 Speaker 4: For real. 627 00:33:43,160 --> 00:33:43,400 Speaker 1: Yeah. 628 00:33:43,480 --> 00:33:45,520 Speaker 2: I had to ask a swift y to be like, what, 629 00:33:45,680 --> 00:33:48,360 Speaker 2: what's your take, because there's a like on on in 630 00:33:48,400 --> 00:33:50,320 Speaker 2: social media. There's either people who are like, yeah, it's 631 00:33:50,320 --> 00:33:51,840 Speaker 2: not bad, and other people are like this is such 632 00:33:51,840 --> 00:33:54,120 Speaker 2: a fucking l for Taylor Swift, like what the fuck 633 00:33:54,240 --> 00:33:56,880 Speaker 2: is this album at all? Yeah, or people being like 634 00:33:56,880 --> 00:33:59,080 Speaker 2: you're too old to be talking about ship like this now, 635 00:33:59,280 --> 00:34:01,960 Speaker 2: like fucking get it together. And when I asked a friend, 636 00:34:02,480 --> 00:34:04,239 Speaker 2: they're like, it's always just going to be like this. 637 00:34:04,400 --> 00:34:06,920 Speaker 2: Like if you if you live to hear Taylor Swifts 638 00:34:06,920 --> 00:34:09,440 Speaker 2: and music, then another Taylor Swift album is what you want, 639 00:34:09,560 --> 00:34:12,000 Speaker 2: but also said it's not my favorite. 640 00:34:12,280 --> 00:34:14,120 Speaker 1: It's like the. 641 00:34:13,560 --> 00:34:16,160 Speaker 2: Light Scaling review that I got, but not to the 642 00:34:16,200 --> 00:34:19,160 Speaker 2: point of like it's fucking ll city. 643 00:34:20,160 --> 00:34:21,640 Speaker 1: But the movie. 644 00:34:21,680 --> 00:34:23,440 Speaker 2: When I went to go see one Battle after another, 645 00:34:23,680 --> 00:34:26,239 Speaker 2: I didn't realize that there was this thing happening and 646 00:34:26,280 --> 00:34:28,319 Speaker 2: I was like, what the fuck are all these kids doing? 647 00:34:28,320 --> 00:34:32,080 Speaker 2: One after another? Is doing great with this next generation? 648 00:34:32,920 --> 00:34:35,080 Speaker 2: I was like, are these kids here to see one? 649 00:34:35,280 --> 00:34:37,520 Speaker 2: I mean, okay, man, teach the uh they're handing on 650 00:34:37,680 --> 00:34:42,399 Speaker 2: friendship bracelets. This is so cute for one battle after another. Yeah. 651 00:34:42,560 --> 00:34:45,640 Speaker 2: So she did another thing with the you know, we 652 00:34:45,760 --> 00:34:49,920 Speaker 2: talked about how her Eras tour live events that like 653 00:34:50,000 --> 00:34:52,840 Speaker 2: went through movie theaters. It was basically a concert film, 654 00:34:53,600 --> 00:34:57,760 Speaker 2: limited limited, a dish concert film, like broke box office 655 00:34:57,800 --> 00:35:00,879 Speaker 2: records for that sort of thing. 656 00:35:01,440 --> 00:35:03,759 Speaker 1: When she did that last year during the Eras tour. 657 00:35:04,360 --> 00:35:07,640 Speaker 2: So this time she did something kind of different where 658 00:35:07,680 --> 00:35:10,680 Speaker 2: it was basically it's like a listening party to like 659 00:35:10,719 --> 00:35:13,000 Speaker 2: an album release party where it's like a listening party 660 00:35:13,000 --> 00:35:15,160 Speaker 2: where everyone kind of sits around listens to the music. 661 00:35:15,560 --> 00:35:18,840 Speaker 2: And it was the number one movie at the box office. 662 00:35:19,200 --> 00:35:21,239 Speaker 1: Yeah, I believe it. I mean, whatever she puts out, 663 00:35:21,239 --> 00:35:22,920 Speaker 1: people are like, yeah, I'm having it. Yeah. 664 00:35:23,120 --> 00:35:26,440 Speaker 2: So three day release event made thirty three million domestically, 665 00:35:26,719 --> 00:35:28,719 Speaker 2: but it was just an eighty nine minute mix of 666 00:35:28,840 --> 00:35:31,520 Speaker 2: music videos, behind the scenes footage, and a series of 667 00:35:31,600 --> 00:35:34,680 Speaker 2: lyric videos for tracks on her new album. It easily 668 00:35:34,680 --> 00:35:39,120 Speaker 2: beat The Smashing Machine, which did poorly almost six craze. 669 00:35:39,600 --> 00:35:42,359 Speaker 2: But yeah, that wasn't I don't think that was what 670 00:35:42,680 --> 00:35:45,000 Speaker 2: we were looking for from the rock on That one 671 00:35:45,560 --> 00:35:48,000 Speaker 2: from from the rock fans should have been that Taylor 672 00:35:48,000 --> 00:35:50,880 Speaker 2: Swift movie. You should have you know, exactly there. But 673 00:35:50,920 --> 00:35:54,160 Speaker 2: people were saying that there was potentially there was AI 674 00:35:54,360 --> 00:35:56,719 Speaker 2: being used in some of the promotional videos for this 675 00:35:56,800 --> 00:35:58,399 Speaker 2: Taylor Swift thing, and a lot of it like, oh 676 00:35:58,440 --> 00:35:59,040 Speaker 2: my god. 677 00:36:00,200 --> 00:36:01,040 Speaker 1: Fuck yeah. 678 00:36:01,080 --> 00:36:03,520 Speaker 2: So the the reviews ranged from Rolling Stone gave it 679 00:36:03,560 --> 00:36:06,800 Speaker 2: five out of five stars, just when the world thought 680 00:36:06,840 --> 00:36:08,760 Speaker 2: Swift couldn't climb any further. 681 00:36:09,080 --> 00:36:12,440 Speaker 1: Is how one part of the review started. 682 00:36:12,480 --> 00:36:15,360 Speaker 2: Sounds like a compromised review right there. 683 00:36:17,719 --> 00:36:18,600 Speaker 1: At gunpoint. 684 00:36:19,560 --> 00:36:21,359 Speaker 2: No, but I mean, some people are gonna love this shit, 685 00:36:21,480 --> 00:36:23,839 Speaker 2: some people are, you know, not going to be feeling it. 686 00:36:24,200 --> 00:36:27,400 Speaker 2: The Guardian, on the other hand, which this this feels 687 00:36:27,440 --> 00:36:30,920 Speaker 2: like more in line with the consensus. Again, my consensus 688 00:36:30,960 --> 00:36:33,840 Speaker 2: just might be haters, just based on social media. But 689 00:36:34,560 --> 00:36:37,040 Speaker 2: they called it dull razzle Dazzle from a star who 690 00:36:37,080 --> 00:36:37,960 Speaker 2: seems frazzled. 691 00:36:38,160 --> 00:36:40,399 Speaker 1: Okay, I don't even like that either. Well, I will 692 00:36:40,440 --> 00:36:43,320 Speaker 1: not accept rhyming. 693 00:36:43,239 --> 00:36:48,240 Speaker 2: Fucking I'm sorry, Like I also can't take you seriously anymore. Yeah, yeah, 694 00:36:48,400 --> 00:36:52,680 Speaker 2: dull razzle dazzle from a star starzled next at eleven. 695 00:36:52,960 --> 00:36:53,320 Speaker 1: Yeah. 696 00:36:53,360 --> 00:36:55,919 Speaker 2: But the main thing that I see people talking about, 697 00:36:55,960 --> 00:36:59,439 Speaker 2: there's a couple songs that jumped out to people where 698 00:36:59,440 --> 00:37:02,040 Speaker 2: people are like doing lyric videos or just like videos 699 00:37:02,080 --> 00:37:04,359 Speaker 2: of people listening to the song for the first time 700 00:37:04,400 --> 00:37:08,480 Speaker 2: and just being kind of like getting the ick. You 701 00:37:08,520 --> 00:37:12,480 Speaker 2: get to, like what witness somebody like feel like gross 702 00:37:13,560 --> 00:37:15,960 Speaker 2: as as they hear the song for the first time. 703 00:37:16,480 --> 00:37:20,759 Speaker 2: But there there's one song that appears to be devoted 704 00:37:20,920 --> 00:37:25,719 Speaker 2: entirely to Travis Kelsey's dick. It's called Wood Oh well, 705 00:37:25,719 --> 00:37:26,959 Speaker 2: we don't know Jack for sure. 706 00:37:27,560 --> 00:37:27,719 Speaker 1: Yeah. 707 00:37:27,760 --> 00:37:29,640 Speaker 2: So we're just gonna go through the lyrics and we're 708 00:37:29,680 --> 00:37:32,520 Speaker 2: gonna let you guys make up your mind. Uh all right, 709 00:37:32,840 --> 00:37:37,960 Speaker 2: So forgive me it sounds cocky. He amatized me and 710 00:37:38,040 --> 00:37:41,800 Speaker 2: opened my eyes Redwood Tree. It ain't hard to see 711 00:37:42,360 --> 00:37:48,160 Speaker 2: his love was the key that opened my thighs Amatized 712 00:37:48,719 --> 00:37:51,800 Speaker 2: is interesting? Is you're just trying to say digmatized and 713 00:37:51,880 --> 00:37:54,480 Speaker 2: didn't want to say and I don't think wanted to 714 00:37:54,520 --> 00:37:57,240 Speaker 2: say that. Yeah, that would be too on the nose 715 00:37:57,719 --> 00:38:00,920 Speaker 2: for my song would about the redwood tree that opened 716 00:38:00,960 --> 00:38:05,640 Speaker 2: mind thighs? No clue what girls, I don't need to 717 00:38:05,680 --> 00:38:08,600 Speaker 2: catch the bouquet to know a hard rock is on 718 00:38:08,719 --> 00:38:09,080 Speaker 2: the way. 719 00:38:09,160 --> 00:38:11,880 Speaker 1: And baby, I'll admit I've been a little superstitious. 720 00:38:11,920 --> 00:38:14,360 Speaker 2: The curse on me was broken by your magic wand 721 00:38:14,600 --> 00:38:16,759 Speaker 2: seems to be that you and me we make our 722 00:38:16,800 --> 00:38:17,319 Speaker 2: own luck. 723 00:38:17,480 --> 00:38:18,920 Speaker 1: New Heights, New Heights. 724 00:38:18,960 --> 00:38:19,080 Speaker 4: All. 725 00:38:19,880 --> 00:38:23,440 Speaker 2: Oh wow, we're referencing the pod that's wowed to reference 726 00:38:23,560 --> 00:38:26,520 Speaker 2: your husband's podcast and Dick in the same song. 727 00:38:26,880 --> 00:38:28,480 Speaker 1: Yeah, I mean it's the dream. 728 00:38:28,600 --> 00:38:31,319 Speaker 2: Really, now I know what to ask her majesty for 729 00:38:31,360 --> 00:38:32,160 Speaker 2: a gift. 730 00:38:33,600 --> 00:38:37,120 Speaker 1: This is what love is. I do feel like there. 731 00:38:37,160 --> 00:38:38,760 Speaker 1: I wish I could find the tweet. 732 00:38:38,800 --> 00:38:43,760 Speaker 2: But somebody was like, described like Taylor Swift marrying Travis 733 00:38:43,800 --> 00:38:46,080 Speaker 2: Kelcey is like, yeah, but I mean I get it. 734 00:38:46,120 --> 00:38:49,160 Speaker 2: She's getting like fucked by an oak tree the first time. 735 00:38:49,800 --> 00:38:49,920 Speaker 4: Uh. 736 00:38:50,239 --> 00:38:55,279 Speaker 2: And that appears to have been a potent metaphor that 737 00:38:55,360 --> 00:39:00,359 Speaker 2: might have caught on New Heights of Manhood. I ain't 738 00:39:00,400 --> 00:39:02,600 Speaker 2: got a knock on wood? Do you think he's got 739 00:39:02,600 --> 00:39:05,120 Speaker 2: a tiny one? And that's is this some cope? No, 740 00:39:05,160 --> 00:39:07,040 Speaker 2: I don't. I don't think he has a tiny one. 741 00:39:08,280 --> 00:39:13,239 Speaker 2: I feel like this is her being like goddamn, uh 742 00:39:13,680 --> 00:39:16,600 Speaker 2: like that boy got some meat. I think he's got 743 00:39:16,600 --> 00:39:16,960 Speaker 2: some meat. 744 00:39:17,239 --> 00:39:17,879 Speaker 1: I wonder if he has. 745 00:39:18,239 --> 00:39:21,000 Speaker 2: That is the next follow up, she just gets some 746 00:39:21,000 --> 00:39:23,080 Speaker 2: more explicit. We're like, yeah, we know it. She's likes 747 00:39:23,120 --> 00:39:26,319 Speaker 2: called Travis's cock. In case you didn't know what I 748 00:39:26,480 --> 00:39:30,960 Speaker 2: meant talking about his implement. You know what I'm saying, 749 00:39:31,880 --> 00:39:34,759 Speaker 2: all right, guys, his penis is huge. He's got to 750 00:39:34,760 --> 00:39:37,719 Speaker 2: have with penis that's hard and that I can knock 751 00:39:37,760 --> 00:39:39,799 Speaker 2: on it. It's like wood. Did anybody ever used that 752 00:39:39,840 --> 00:39:42,840 Speaker 2: metaphor before calling uh erect penises? 753 00:39:42,880 --> 00:39:46,160 Speaker 1: Wood? Or did I just make me? I'm kind of 754 00:39:46,400 --> 00:39:49,319 Speaker 1: genius is what people don't realize. The thing about me. 755 00:39:49,640 --> 00:39:53,640 Speaker 1: I found new way the phrase morning wood when I 756 00:39:53,680 --> 00:39:54,680 Speaker 1: was in high school. 757 00:39:54,840 --> 00:39:56,920 Speaker 2: Well glad good for her. You know, I'm kind the 758 00:39:56,920 --> 00:39:59,720 Speaker 2: heart of a poet. I'm sure also to like with everything. 759 00:40:00,160 --> 00:40:01,880 Speaker 2: That probably also has to be a veiled shot at 760 00:40:01,880 --> 00:40:03,880 Speaker 2: an ax too. Who's going to say, oh, yeah, you 761 00:40:03,960 --> 00:40:06,480 Speaker 2: hear that and be like, he has a redwood tree, 762 00:40:07,000 --> 00:40:11,719 Speaker 2: but what about the fuck my humble bond si as 763 00:40:11,760 --> 00:40:16,360 Speaker 2: I call it, yeah, my sapling. We always referred to 764 00:40:16,360 --> 00:40:18,600 Speaker 2: it as my sapling. And you said that you thought 765 00:40:18,640 --> 00:40:23,680 Speaker 2: that was fine? Well, all right, I think in good news. 766 00:40:23,840 --> 00:40:30,400 Speaker 2: Italy was shut down to protests Israeli genocide. Basically, most 767 00:40:30,440 --> 00:40:33,839 Speaker 2: of Italy shut down on Friday thanks to a one 768 00:40:33,920 --> 00:40:37,840 Speaker 2: day general strike, which saw public transportation and schools close 769 00:40:37,960 --> 00:40:41,360 Speaker 2: as protesters flocked to the streets in support of Gaza 770 00:40:41,440 --> 00:40:45,080 Speaker 2: and the global flotilla. More than two million people in 771 00:40:45,120 --> 00:40:49,160 Speaker 2: Italy attended rallies. The national average participation in the general 772 00:40:49,200 --> 00:40:54,479 Speaker 2: strike stood at around sixty percent, which is really cool 773 00:40:54,480 --> 00:40:56,680 Speaker 2: to see. Yeah, I mean there's even I know in 774 00:40:56,960 --> 00:41:00,759 Speaker 2: Amsterdam there's like hundreds of thousands of people who came out. 775 00:41:00,840 --> 00:41:06,279 Speaker 2: I mean it's yeah, what else, what else can you do? 776 00:41:06,320 --> 00:41:08,040 Speaker 2: At this point? I mean, I know that that whole 777 00:41:08,040 --> 00:41:12,160 Speaker 2: piece deal that was being bandied around last week. Trump 778 00:41:12,239 --> 00:41:14,920 Speaker 2: kept extending the deadline and then like the thing from 779 00:41:14,960 --> 00:41:17,680 Speaker 2: Homas was like, we'll agree to the first ten maybe, 780 00:41:17,719 --> 00:41:20,560 Speaker 2: but the other ten, like let's not even acknowledge that 781 00:41:20,680 --> 00:41:20,960 Speaker 2: right now. 782 00:41:20,960 --> 00:41:23,080 Speaker 1: And Trump was like that's a good sign. That's a 783 00:41:23,080 --> 00:41:25,160 Speaker 1: good sign. Who were making progress? Baby? 784 00:41:26,320 --> 00:41:30,280 Speaker 2: Yeah, So god, it's this is just such a long winded, 785 00:41:30,719 --> 00:41:33,120 Speaker 2: like terrible thing. And then also, you know, Greta Tunberg 786 00:41:33,280 --> 00:41:37,320 Speaker 2: came back, she was deported finally and even said like surprise, surprise, 787 00:41:37,400 --> 00:41:42,080 Speaker 2: and terrible treatment when they were apprehended. Yeah, they had 788 00:41:42,160 --> 00:41:46,640 Speaker 2: video of them coming on and like pointing assault weapons 789 00:41:46,680 --> 00:41:51,040 Speaker 2: at these unarmed, peaceful protesters. You know, they had tried 790 00:41:51,080 --> 00:41:53,799 Speaker 2: to scramble their ability to capture it, but they were 791 00:41:53,920 --> 00:41:56,000 Speaker 2: they were able to get video of it. Yeah, because 792 00:41:56,000 --> 00:41:58,120 Speaker 2: they were saying like there's she was like, well a 793 00:41:58,160 --> 00:42:00,640 Speaker 2: place went fested with bed bugs and they're like trying 794 00:42:00,640 --> 00:42:02,279 Speaker 2: to get her to pose with like the flag and 795 00:42:02,320 --> 00:42:06,399 Speaker 2: shit is varied. But they again, the officials, they are 796 00:42:06,400 --> 00:42:08,360 Speaker 2: like our lives, those are lives. 797 00:42:08,360 --> 00:42:09,920 Speaker 1: Those are lives. Yeah. 798 00:42:10,000 --> 00:42:13,840 Speaker 2: The fascist leader in Italy, Maloney, claimed that the massive 799 00:42:13,880 --> 00:42:17,759 Speaker 2: protest was politically motivated and targeted her in her right 800 00:42:17,800 --> 00:42:18,560 Speaker 2: wing government. 801 00:42:19,000 --> 00:42:20,040 Speaker 1: So, oh my. 802 00:42:19,920 --> 00:42:23,360 Speaker 2: God, that is the saddest shit to try and be like, 803 00:42:23,600 --> 00:42:24,360 Speaker 2: yeah it's about me. 804 00:42:24,880 --> 00:42:27,319 Speaker 1: Yeah, it's because I'm doing such a terrible job. Yeah, 805 00:42:27,360 --> 00:42:28,239 Speaker 1: I need it to be about me. 806 00:42:28,480 --> 00:42:31,160 Speaker 2: Itakes three hundred thousand people march through the streets of 807 00:42:31,239 --> 00:42:35,200 Speaker 2: Rome alone, while the national average participating yet was sixty percent, 808 00:42:35,360 --> 00:42:38,520 Speaker 2: So that halted all the main services and key sectors, 809 00:42:38,560 --> 00:42:42,200 Speaker 2: including transportation in schools. So just another cool thing that 810 00:42:42,320 --> 00:42:45,600 Speaker 2: unions can do for you. Yeah, or just people working collectively, 811 00:42:46,000 --> 00:42:50,480 Speaker 2: you know. Yeah, tools down, collective action. All right, those 812 00:42:50,560 --> 00:42:53,279 Speaker 2: are some of the things that are trending on this 813 00:42:53,520 --> 00:42:55,799 Speaker 2: Monday morning and afternoon. 814 00:42:56,239 --> 00:42:58,960 Speaker 1: We are back tomorrow with the whole last episode of 815 00:42:59,000 --> 00:42:59,279 Speaker 1: the show. 816 00:42:59,360 --> 00:43:02,720 Speaker 2: Yeah, then be kind to each other, be kind to yourself, 817 00:43:03,200 --> 00:43:05,920 Speaker 2: get your vaccines while you still care, get your flu shots. 818 00:43:06,480 --> 00:43:09,960 Speaker 2: Don't do nothing about white supremacy, and we will talk 819 00:43:09,960 --> 00:43:13,480 Speaker 2: to you all tomorrow. Bares the Daily Zeite Guys is 820 00:43:13,520 --> 00:43:17,480 Speaker 2: executive produced by Catherine Law, co produced by Bee Wayne. 821 00:43:17,480 --> 00:43:19,200 Speaker 1: Co produced by Victor Wright 822 00:43:19,640 --> 00:43:23,319 Speaker 2: Co written by j M McNabb, and edited and engineered 823 00:43:23,400 --> 00:43:24,360 Speaker 2: by Brian Jefferies.