1 00:00:05,480 --> 00:00:08,840 Speaker 1: Some commentators and stuff talk about how like the transphobia thing, 2 00:00:09,000 --> 00:00:11,719 Speaker 1: like once you start being transphobic, it's just like this 3 00:00:12,200 --> 00:00:15,240 Speaker 1: spiral into like it feels like mental illness because you 4 00:00:15,320 --> 00:00:18,800 Speaker 1: just like JK Rowling, like that became her personality. 5 00:00:19,320 --> 00:00:19,520 Speaker 2: Yeah. 6 00:00:19,560 --> 00:00:22,040 Speaker 3: Have we've seen that black mold theory that's been on 7 00:00:22,079 --> 00:00:22,480 Speaker 3: the internet. 8 00:00:22,560 --> 00:00:25,680 Speaker 1: Yeah, yeah, And it's multiple pictures and then she changed 9 00:00:25,680 --> 00:00:28,000 Speaker 1: her profile picture and they called they're trying to call 10 00:00:28,040 --> 00:00:32,000 Speaker 1: her JK Molding, like fucking amazing. 11 00:00:34,800 --> 00:00:38,560 Speaker 2: It really looks fucked up, like she hasn't. I guess 12 00:00:38,560 --> 00:00:41,120 Speaker 2: it's just it's like the gray Gardens thing, where you 13 00:00:41,159 --> 00:00:43,800 Speaker 2: haven't had anyone around you who has told you the 14 00:00:43,880 --> 00:00:45,760 Speaker 2: truth in such a long time. 15 00:00:45,640 --> 00:00:47,400 Speaker 1: About the insides of your walls. 16 00:00:49,040 --> 00:00:52,360 Speaker 2: Right, you would think that she would have had enough 17 00:00:52,479 --> 00:00:55,640 Speaker 2: contractors come through her house to like is it. 18 00:00:55,760 --> 00:00:57,320 Speaker 1: Just so so rich? 19 00:00:57,600 --> 00:01:01,240 Speaker 3: Like yeah, and also self farness. As a writer, she's 20 00:01:01,280 --> 00:01:03,320 Speaker 3: like living inside of a tragedy. Like her house is 21 00:01:03,320 --> 00:01:08,520 Speaker 3: a metaphor. Right, it's very it's very direct, it's very meta. 22 00:01:08,680 --> 00:01:11,920 Speaker 2: I quite like the black mold as a metaphor. 23 00:01:12,640 --> 00:01:14,960 Speaker 1: Where do you think the name Cho Chang came from? 24 00:01:16,440 --> 00:01:22,320 Speaker 2: Cho Chang? I don't know the sporesang sounds like the Jews. 25 00:01:22,000 --> 00:01:24,640 Speaker 1: Out of the Goblins. The spores told me. 26 00:01:32,120 --> 00:01:35,200 Speaker 2: Hello the Internet, and welcome to season three point fifty one, 27 00:01:35,360 --> 00:01:39,040 Speaker 2: episode four of at Least I Guys, WHOA My voice 28 00:01:39,080 --> 00:01:42,560 Speaker 2: cracked a little bit. It's a production of iHeartRadio. It's 29 00:01:42,560 --> 00:01:44,920 Speaker 2: a podcast where we take a deep dive into America 30 00:01:45,040 --> 00:01:48,920 Speaker 2: share consciousness. I'm trying to learn not to speak directly 31 00:01:49,120 --> 00:01:53,920 Speaker 2: with my lips pressed against the microphone here, like three 32 00:01:54,040 --> 00:01:57,800 Speaker 2: thousand episodes into the show, I've been told my mike 33 00:01:57,880 --> 00:01:59,520 Speaker 2: discipline is bad. 34 00:02:00,120 --> 00:02:01,760 Speaker 4: Quick kissing your mic. 35 00:02:01,720 --> 00:02:04,960 Speaker 2: Quick making out with the mic. I'm eating that thing, 36 00:02:05,280 --> 00:02:06,480 Speaker 2: probably spitting on that thing. 37 00:02:06,600 --> 00:02:08,640 Speaker 1: To be honest, the mic is his couch. 38 00:02:09,400 --> 00:02:13,359 Speaker 2: Yeah it is. It's to me what the couches to 39 00:02:13,560 --> 00:02:17,959 Speaker 2: other people. It is Thursday, August fifteenth, twenty twenty four. 40 00:02:18,120 --> 00:02:21,600 Speaker 2: Did I say that? I don't know who cares? Who knows? 41 00:02:22,000 --> 00:02:23,760 Speaker 2: My name is Jack O'Brien aka. 42 00:02:24,480 --> 00:02:28,320 Speaker 5: I guess where stuck above the world because of budgets. 43 00:02:28,880 --> 00:02:33,320 Speaker 5: Guess where stuck above the world because of budgets till 44 00:02:33,480 --> 00:02:36,760 Speaker 5: twenty five. 45 00:02:36,240 --> 00:02:38,200 Speaker 2: Stuck at doc in Nita shower. My teeth rot from 46 00:02:38,240 --> 00:02:41,440 Speaker 2: bowing cowers can't return. It'll burn people. Second, first, the firm. 47 00:02:41,560 --> 00:02:44,520 Speaker 2: That's it. That's it. I know you expect this quit going, 48 00:02:44,560 --> 00:02:48,400 Speaker 2: but it did not. It was plenty well done. Jmu 49 00:02:48,520 --> 00:02:52,040 Speaker 2: sick one on the discord in reference to the Boeing 50 00:02:52,360 --> 00:02:57,480 Speaker 2: astronauts who are stuck on the International Space Station because 51 00:02:58,120 --> 00:03:02,720 Speaker 2: Boeing cannot stop fucking up. They just they don't want to. 52 00:03:03,000 --> 00:03:06,240 Speaker 2: Actually they're yeah, so they're gonna keep them up there 53 00:03:06,280 --> 00:03:10,680 Speaker 2: until twenty twenty five. It makes them horny. Boeing is like, ooh, 54 00:03:10,960 --> 00:03:15,440 Speaker 2: did we do that? Sorry, making a little betty boop. 55 00:03:15,280 --> 00:03:17,800 Speaker 1: Like they're like rubbing their nipples. 56 00:03:20,360 --> 00:03:27,079 Speaker 2: God, Boeing is so horny getting those astronauts stuck up there. 57 00:03:27,680 --> 00:03:29,440 Speaker 2: It is boy astronaut, girl asternauts. 58 00:03:29,480 --> 00:03:34,000 Speaker 1: Like the emergency room. They're pulling astronauts out of bowing yeah, 59 00:03:34,400 --> 00:03:37,640 Speaker 1: like no, you're back again. You just fell on an astronaut. 60 00:03:39,120 --> 00:03:42,920 Speaker 2: Oh no, that's right. Yeah. It's like a less feel 61 00:03:42,960 --> 00:03:46,280 Speaker 2: good version of the Martian, Like if all the scenes 62 00:03:46,760 --> 00:03:51,360 Speaker 2: about science were about like quarterly earnings and like pr 63 00:03:51,480 --> 00:03:54,960 Speaker 2: spin and them just fighting with NASA to be like 64 00:03:55,040 --> 00:03:57,560 Speaker 2: let us blow them up. We just want to get them. 65 00:03:57,600 --> 00:04:01,760 Speaker 2: This just looks so bad. And anyways, I'm thrilled to 66 00:04:01,920 --> 00:04:04,800 Speaker 2: be joined by a very special guest co host, a 67 00:04:04,920 --> 00:04:08,560 Speaker 2: hilarious stand up comedian, writer, actor improviser. You can catch 68 00:04:08,600 --> 00:04:11,560 Speaker 2: her on stage at the monthly Facial Recognition comedy show, 69 00:04:11,840 --> 00:04:15,120 Speaker 2: which she also produces. It's probably gunwa. 70 00:04:17,760 --> 00:04:19,080 Speaker 1: Get ready for this one. 71 00:04:19,520 --> 00:04:23,600 Speaker 6: I know you wanted me to stay, but I can't 72 00:04:23,680 --> 00:04:26,839 Speaker 6: ignore the crazy visions of me in DC. And I 73 00:04:27,120 --> 00:04:30,920 Speaker 6: heard that there's a special couch where boys and girls 74 00:04:30,960 --> 00:04:34,679 Speaker 6: can all be queens. Every single day, I'm having wicked 75 00:04:34,760 --> 00:04:38,640 Speaker 6: dreams of leaving Ohio. I hear the White House. I 76 00:04:38,720 --> 00:04:41,880 Speaker 6: swear it's calling me. We'll make the tech bros proud. 77 00:04:42,160 --> 00:04:45,320 Speaker 6: It's gonna cause a scene they see their baby boy. 78 00:04:45,720 --> 00:04:48,159 Speaker 6: I know they're gonna scream events. 79 00:04:48,240 --> 00:04:49,320 Speaker 2: What have you done? 80 00:04:49,800 --> 00:04:53,160 Speaker 6: You're a pink pony boy and you dance with repubs 81 00:04:53,600 --> 00:04:57,960 Speaker 6: Silk and Valley. I'm I'm just having fun on the 82 00:04:58,600 --> 00:05:02,159 Speaker 6: stage in my wig. It's where I belong. Down with 83 00:05:02,320 --> 00:05:06,000 Speaker 6: the All Ride Rip pubs. I'm gonna keep Bond dancing 84 00:05:06,120 --> 00:05:09,360 Speaker 6: with the All Ride Rip pubs. I'm gonna keep bon 85 00:05:09,520 --> 00:05:13,800 Speaker 6: dancing down and washing Ton. I'm gonna keep bon dancing 86 00:05:13,880 --> 00:05:15,799 Speaker 6: with the Ride Rip pubs. 87 00:05:16,000 --> 00:05:17,760 Speaker 2: Oh Ride Rip pubs. 88 00:05:18,440 --> 00:05:22,400 Speaker 1: Wow, I had to make up for yesterday. 89 00:05:23,200 --> 00:05:24,720 Speaker 2: Wait, what was yesterday? I don't know. 90 00:05:25,040 --> 00:05:26,280 Speaker 1: I was hosting and I didn't do it. 91 00:05:27,560 --> 00:05:30,920 Speaker 2: Yeah, well you went you went hoard today I went forward. 92 00:05:31,040 --> 00:05:33,679 Speaker 1: I had to. I had to balance out your throwbacks, Jack, 93 00:05:33,800 --> 00:05:36,240 Speaker 1: you have a good you have a good selection. And 94 00:05:36,320 --> 00:05:39,280 Speaker 1: I had to throw in someone whose name I can't pronounce. 95 00:05:39,320 --> 00:05:42,120 Speaker 2: Still, what is that song? 96 00:05:42,480 --> 00:05:45,720 Speaker 1: It's Pink Pony Club by Chapel Roane. I can't even 97 00:05:45,839 --> 00:05:47,719 Speaker 1: I don't even know. I don't even know how to 98 00:05:47,720 --> 00:05:50,920 Speaker 1: say her name. Chappelle, you know, I keep calling her 99 00:05:51,240 --> 00:05:53,200 Speaker 1: Dave Chappelle Roam, which is so bad. 100 00:05:54,760 --> 00:05:58,760 Speaker 2: Yeah, I figured it was a song by either Chappelle 101 00:05:58,880 --> 00:06:05,719 Speaker 2: Roan or the other one who rat Espresso I know, Charlie, Yeah, 102 00:06:05,760 --> 00:06:10,000 Speaker 2: Serena Carpenter the other one that I'm just like, yeah, sure, 103 00:06:10,520 --> 00:06:14,880 Speaker 2: but uh huh, I get it. That's that is some 104 00:06:15,080 --> 00:06:20,040 Speaker 2: energetic pop music. But I am too old. Well, Paulavy, 105 00:06:20,240 --> 00:06:23,680 Speaker 2: it's wonderful having you here. Tip your waiters. She's here 106 00:06:23,720 --> 00:06:26,400 Speaker 2: all week, folks, But we are thrilled to be joined 107 00:06:26,440 --> 00:06:29,480 Speaker 2: in our third seat by a very talented writer, stand 108 00:06:29,560 --> 00:06:31,960 Speaker 2: up comedian co host of The Bechdel Cast. One of 109 00:06:32,000 --> 00:06:34,479 Speaker 2: the great film podcasts. They also happen to have a 110 00:06:34,480 --> 00:06:38,080 Speaker 2: master's degree in film, not something that they ever mentioned. 111 00:06:38,520 --> 00:06:39,520 Speaker 2: I'm putting it out there. 112 00:06:39,560 --> 00:06:41,040 Speaker 1: That's wild. I didn't know that. 113 00:06:41,800 --> 00:06:44,599 Speaker 2: I had no Oh my god, I had no idea. 114 00:06:45,400 --> 00:06:49,680 Speaker 2: The most anagrammable name in the English language. So if 115 00:06:49,720 --> 00:06:52,120 Speaker 2: you've been given their name in a jumble of out 116 00:06:52,160 --> 00:06:55,080 Speaker 2: of order scrabble tiles, you may know them as Lauren 117 00:06:55,120 --> 00:06:59,680 Speaker 2: d Titanic or nine tit Dracula or Latin dancer Uti 118 00:07:00,040 --> 00:07:01,960 Speaker 2: it to us, they will always be Caitlin D. 119 00:07:05,560 --> 00:07:09,559 Speaker 4: Got another one, got another? I think this is new. Wow, Okay, ready, 120 00:07:10,800 --> 00:07:12,840 Speaker 4: let acid rain nut. 121 00:07:14,080 --> 00:07:16,080 Speaker 2: Let you know, acid rain nut. 122 00:07:16,440 --> 00:07:19,600 Speaker 4: If you're like, what what should I let acid rain do? 123 00:07:21,520 --> 00:07:22,880 Speaker 4: N let it nut? 124 00:07:23,080 --> 00:07:27,560 Speaker 2: You know, thank you gross. But I. 125 00:07:29,680 --> 00:07:33,120 Speaker 1: Feel like that's been a Republican policy for generations. 126 00:07:33,240 --> 00:07:37,320 Speaker 4: Yeah, the environment all over. 127 00:07:37,840 --> 00:07:43,560 Speaker 1: Let it nut like mother nature, more like male. 128 00:07:43,520 --> 00:07:52,680 Speaker 4: Nature, Daddy nature. Let it fa chemical, harmful, corrosive chemicals 129 00:07:52,720 --> 00:07:53,640 Speaker 4: all over your face. 130 00:07:53,760 --> 00:07:56,400 Speaker 1: Yeah, and then it throws up the towel at us 131 00:07:56,640 --> 00:07:59,520 Speaker 1: tells us to clean up after exactly. 132 00:08:00,160 --> 00:08:01,200 Speaker 2: Caitlin, how are you doing? 133 00:08:02,200 --> 00:08:06,000 Speaker 4: Oh gosh, I'm as good as anyone could be. While 134 00:08:06,040 --> 00:08:08,720 Speaker 4: we're all dying of capitalism. 135 00:08:09,240 --> 00:08:14,440 Speaker 1: Yeah, I'm so great, great just in Denisle, you know, 136 00:08:14,840 --> 00:08:17,040 Speaker 1: just making our way through the world. 137 00:08:17,480 --> 00:08:20,440 Speaker 2: Making our way through the world today and it kind 138 00:08:20,440 --> 00:08:22,960 Speaker 2: of sucks. All right, Well, Caitlyn, we're going to get 139 00:08:22,960 --> 00:08:24,960 Speaker 2: to know you a little bit better in a moment. First, 140 00:08:25,040 --> 00:08:26,520 Speaker 2: we're going to tell the listeners a couple of things 141 00:08:26,560 --> 00:08:31,760 Speaker 2: we're talking about today. Trump is suing America as things 142 00:08:31,800 --> 00:08:35,920 Speaker 2: continue to go bad behind scenes for him. I love 143 00:08:36,000 --> 00:08:38,079 Speaker 2: the picture of him. Did you guys see the picture 144 00:08:38,120 --> 00:08:41,319 Speaker 2: of him just like staring down at his phone kind 145 00:08:41,360 --> 00:08:42,720 Speaker 2: of with his head and then it's folded. 146 00:08:43,200 --> 00:08:45,720 Speaker 1: The men'swear guy started to going on his shoulder pads 147 00:08:45,720 --> 00:08:46,920 Speaker 1: because they're all weird looking. 148 00:08:47,480 --> 00:08:52,080 Speaker 2: Yeah, yeah, yeah, too padded. But yeah, I feel like 149 00:08:52,120 --> 00:08:55,040 Speaker 2: that really sums up where we're at with him, where 150 00:08:55,040 --> 00:08:57,320 Speaker 2: he's just like looking at his phone. I think it 151 00:08:57,400 --> 00:09:00,600 Speaker 2: was actually the Elon Musk interview, but it does just 152 00:09:00,679 --> 00:09:02,920 Speaker 2: look like somebody looking at their phone waiting for someone 153 00:09:02,920 --> 00:09:06,319 Speaker 2: to text back. And it feels like he is at 154 00:09:06,360 --> 00:09:10,240 Speaker 2: the point where he's like waiting for America to text 155 00:09:10,280 --> 00:09:13,080 Speaker 2: back and be like, we are still interested in the 156 00:09:13,120 --> 00:09:15,640 Speaker 2: crazy shit you do and it's just not happening. 157 00:09:15,800 --> 00:09:16,920 Speaker 1: Hey man, you're weird. 158 00:09:17,160 --> 00:09:20,600 Speaker 2: Yeah, we'll talk about how that's all going. We'll talk 159 00:09:20,640 --> 00:09:24,160 Speaker 2: about the plans to rat fuck the election from the 160 00:09:24,240 --> 00:09:27,840 Speaker 2: Republican side. We'll talk about the decline of Hollywood. We 161 00:09:27,880 --> 00:09:32,000 Speaker 2: talked yesterday about Apple reigning in some of their streaming spending. 162 00:09:32,600 --> 00:09:38,240 Speaker 2: Paramount just shit canned their TV studios. So we'll look 163 00:09:38,280 --> 00:09:44,719 Speaker 2: at just the broad world of a depressed entertainment economy. 164 00:09:45,280 --> 00:09:48,080 Speaker 2: Might even get to mister Beast's real world squid game, 165 00:09:48,920 --> 00:09:54,360 Speaker 2: which insane apparently not great, which I was surprised by. 166 00:09:54,600 --> 00:09:58,040 Speaker 2: I mean, you've got, mister Beast, You've got an unronic, 167 00:09:58,760 --> 00:10:01,400 Speaker 2: real world version of squa a game. I don't see 168 00:10:01,440 --> 00:10:04,800 Speaker 2: what could go wrong with those two ingredients combined. 169 00:10:05,160 --> 00:10:08,480 Speaker 1: There's the interview of the person who was kept awake 170 00:10:08,600 --> 00:10:11,360 Speaker 1: for a lot in solitary confinement for thirty days. 171 00:10:11,600 --> 00:10:14,000 Speaker 2: Did you no? I didn't see that. 172 00:10:14,120 --> 00:10:19,440 Speaker 1: But it might be violating war rules Geneva convention. 173 00:10:19,920 --> 00:10:23,600 Speaker 2: That's what's so funny about him is he violates Geneva conventions, 174 00:10:23,640 --> 00:10:26,440 Speaker 2: but he gets people to do it because he has 175 00:10:26,160 --> 00:10:30,160 Speaker 2: a lot of money. So it's cool and we like it. 176 00:10:30,559 --> 00:10:33,360 Speaker 2: Mister Beast, folks, we love him. Don't we folks. I 177 00:10:33,360 --> 00:10:35,800 Speaker 2: think Trump's going to fire bands and replace him with 178 00:10:35,840 --> 00:10:37,920 Speaker 2: mister Beast. I think that's the only thing that could 179 00:10:38,280 --> 00:10:41,800 Speaker 2: save his campaign. Before we get to any of it, Caitlin, 180 00:10:41,920 --> 00:10:45,320 Speaker 2: we do like to ask our guests, what is something 181 00:10:45,559 --> 00:10:49,079 Speaker 2: from your search history that's revealing about who you are? 182 00:10:49,600 --> 00:10:55,120 Speaker 4: I googled this phrase dating apps that don't suck shit? 183 00:10:55,679 --> 00:10:58,360 Speaker 2: Oh okay, and I don't yield. 184 00:10:58,080 --> 00:10:59,360 Speaker 4: The results I was up for. 185 00:11:00,080 --> 00:11:02,360 Speaker 1: Did it yield results about dating? 186 00:11:04,760 --> 00:11:07,720 Speaker 4: It was just like, here are some dating apps that 187 00:11:07,800 --> 00:11:09,440 Speaker 4: you already use and. 188 00:11:09,520 --> 00:11:11,959 Speaker 1: That do have traumatize you in real time. 189 00:11:12,640 --> 00:11:16,520 Speaker 4: Yeah, so didn't really find what I was looking for, 190 00:11:16,720 --> 00:11:19,079 Speaker 4: but I think I made a valiant effort. 191 00:11:19,640 --> 00:11:21,959 Speaker 2: Yeah, that was a good search. I don't know how 192 00:11:21,960 --> 00:11:24,680 Speaker 2: they got around that search. That seems pretty air tight. 193 00:11:24,960 --> 00:11:29,000 Speaker 1: That's well, what is the name of the like when 194 00:11:29,040 --> 00:11:32,440 Speaker 1: someone's attracted to somebody's intelligence, sabio sexual? They had an 195 00:11:32,480 --> 00:11:34,440 Speaker 1: app that was like that, and it was all the 196 00:11:34,559 --> 00:11:39,200 Speaker 1: dumbest people, right, It's like people who just found out 197 00:11:39,240 --> 00:11:41,240 Speaker 1: what the word sabio sexual means. 198 00:11:41,679 --> 00:11:44,400 Speaker 2: Sure, people, And I'm sure it attracts a lot of 199 00:11:44,440 --> 00:11:48,800 Speaker 2: people who do their own research, which are not always 200 00:11:49,000 --> 00:11:51,760 Speaker 2: actually the smartest people I have found, And that's just 201 00:11:51,800 --> 00:11:54,920 Speaker 2: a personal opinion, but it's what I have found. Yeah, 202 00:11:55,040 --> 00:11:58,520 Speaker 2: I feel I feel like eight, like there's probably a 203 00:11:58,600 --> 00:12:03,000 Speaker 2: dating app that, like their log line, their pitch is like, 204 00:12:03,120 --> 00:12:06,160 Speaker 2: We're the dating app that doesn't suck shit, and it's 205 00:12:06,320 --> 00:12:09,520 Speaker 2: just the worst dating app, probably because like that's just 206 00:12:09,600 --> 00:12:13,520 Speaker 2: how capitalism, this modern version of capitalism works, is like, 207 00:12:13,880 --> 00:12:16,840 Speaker 2: so we'll claim that we don't do the thing that 208 00:12:16,880 --> 00:12:20,400 Speaker 2: we actually do, and then we do that thing harder 209 00:12:20,480 --> 00:12:22,000 Speaker 2: than any anybody. 210 00:12:21,480 --> 00:12:25,240 Speaker 4: Else, anyone else. Yeah. Yeah, they all seem to be 211 00:12:25,280 --> 00:12:32,600 Speaker 4: competing with each other for the suck shittiest. 212 00:12:32,080 --> 00:12:35,160 Speaker 2: The shit suckingest app. How is the. 213 00:12:35,280 --> 00:12:39,120 Speaker 1: Meeting people in real life situation right now? Given that 214 00:12:39,160 --> 00:12:41,600 Speaker 1: the app sucks so bad, I feel like I'm people 215 00:12:41,640 --> 00:12:44,320 Speaker 1: might be going back to that. Is that true? I think? 216 00:12:44,360 --> 00:12:47,800 Speaker 4: So I keep hearing about people joining like running club 217 00:12:48,880 --> 00:12:52,360 Speaker 4: to meet people, and here's the thing. I don't want 218 00:12:52,360 --> 00:12:54,200 Speaker 4: to be in a running club. But I did join 219 00:12:54,240 --> 00:12:55,760 Speaker 4: a co ed soccer team. 220 00:12:56,160 --> 00:13:00,679 Speaker 1: That's There's like, so there was a moment where meetups 221 00:13:00,760 --> 00:13:03,840 Speaker 1: were a thing where they would do like Peyton wine 222 00:13:03,960 --> 00:13:06,040 Speaker 1: nights and it was just like strangers, you know what? 223 00:13:06,080 --> 00:13:08,760 Speaker 1: I mean or people who were trying to make friends 224 00:13:08,800 --> 00:13:10,760 Speaker 1: and stuff, and I feel like that's kind of coming 225 00:13:10,800 --> 00:13:13,480 Speaker 1: back in. Maybe not in that format, but. 226 00:13:14,000 --> 00:13:16,000 Speaker 4: Yeah, I think so. I did like a speed dating 227 00:13:16,120 --> 00:13:19,200 Speaker 4: like my first ever speed dating event, I don't know, 228 00:13:19,280 --> 00:13:23,480 Speaker 4: like a while ago now is like probably sixish months ago, 229 00:13:23,600 --> 00:13:28,080 Speaker 4: but it was kind of as it was pretty suck 230 00:13:28,280 --> 00:13:32,640 Speaker 4: shit as well. Yeah, it's just it's the quality of 231 00:13:32,679 --> 00:13:35,880 Speaker 4: the people is the big problem. 232 00:13:36,000 --> 00:13:36,600 Speaker 2: I think. 233 00:13:38,240 --> 00:13:41,520 Speaker 4: I don't have anything against. It's the people who suck shit. 234 00:13:41,720 --> 00:13:43,640 Speaker 1: And that's the whole thing with dating is you have 235 00:13:43,720 --> 00:13:46,160 Speaker 1: to interact with people, and if they suck shit, the 236 00:13:46,160 --> 00:13:47,360 Speaker 1: whole experience. Shit. 237 00:13:47,760 --> 00:13:50,080 Speaker 4: That's right, and it just so happens that most people 238 00:13:50,080 --> 00:13:53,000 Speaker 4: suck shit. So you got to. 239 00:13:52,960 --> 00:13:56,760 Speaker 1: Get through that shit suckers to find a real diamond sucker, 240 00:13:56,920 --> 00:13:59,480 Speaker 1: you know what I mean exactly. There's a lot of 241 00:13:59,520 --> 00:14:02,520 Speaker 1: shit around diamonds. 242 00:14:03,200 --> 00:14:03,920 Speaker 2: That's true. 243 00:14:04,120 --> 00:14:06,240 Speaker 4: The diamond in the rock more like the diamond in 244 00:14:06,280 --> 00:14:06,600 Speaker 4: the ship. 245 00:14:06,880 --> 00:14:11,160 Speaker 2: Yeah, the diamond in the heavily compacted ship. You know. 246 00:14:12,520 --> 00:14:15,840 Speaker 1: Okay, car all right, Daily's sikey No, No, I wasn't 247 00:14:15,840 --> 00:14:16,800 Speaker 1: getting you on track at all. 248 00:14:16,920 --> 00:14:17,240 Speaker 4: Trust me. 249 00:14:17,280 --> 00:14:19,880 Speaker 1: I would never do that. Daily zyke eves people if 250 00:14:19,880 --> 00:14:23,440 Speaker 1: you know a single person who doesn't suck shit, damn 251 00:14:23,600 --> 00:14:27,520 Speaker 1: me so that it doesn't go to Caitlin's inbox, and 252 00:14:28,160 --> 00:14:31,760 Speaker 1: then all of you filled that all that, Yeah, thank you, 253 00:14:31,920 --> 00:14:35,400 Speaker 1: Kaitlyn deserves the best, and then maybe we'll get one 254 00:14:35,440 --> 00:14:38,160 Speaker 1: person who is perfect for you. 255 00:14:38,680 --> 00:14:42,160 Speaker 4: Oh, let's hope. So they have to like Paddington and 256 00:14:42,440 --> 00:14:46,200 Speaker 4: that's about it. Does anybody know Paddington? Does anybody know Paddington? 257 00:14:46,560 --> 00:14:49,120 Speaker 4: Do you know him personally? I just want to date 258 00:14:49,160 --> 00:14:50,479 Speaker 4: you to get to Paddington. 259 00:14:50,800 --> 00:14:50,960 Speaker 2: Yeah. 260 00:14:51,040 --> 00:14:53,840 Speaker 4: Yeah, that's that's what this all comes down to. The 261 00:14:53,840 --> 00:14:56,640 Speaker 4: people on the dating apps suck shit because they don't 262 00:14:56,840 --> 00:14:57,640 Speaker 4: know Paddington. 263 00:14:58,080 --> 00:15:01,600 Speaker 1: I met this person on a dating app. They were Paddington, fucker. 264 00:15:04,640 --> 00:15:07,120 Speaker 2: And that was that was like a story of a 265 00:15:07,120 --> 00:15:09,680 Speaker 2: great experience, right, That was the beginning of a tail 266 00:15:10,400 --> 00:15:11,880 Speaker 2: that ends with wedding bells. 267 00:15:12,000 --> 00:15:15,200 Speaker 1: Yeah, that's me meeting Caitlin on a dating app. 268 00:15:15,640 --> 00:15:23,040 Speaker 2: They just keep asking about Paddington, my cousin, Have you 269 00:15:23,080 --> 00:15:26,720 Speaker 2: tried AI? I've been told by the creator of Bumble 270 00:15:26,840 --> 00:15:29,200 Speaker 2: that we're all just going to be on dating apps 271 00:15:29,280 --> 00:15:32,360 Speaker 2: using AI as our personal Our ais will date each 272 00:15:32,360 --> 00:15:34,360 Speaker 2: other to figure out if we're compatible. 273 00:15:35,840 --> 00:15:38,720 Speaker 4: I'd rather walk into the ocean. 274 00:15:39,240 --> 00:15:46,120 Speaker 2: Muttering to yourself with fish. Yeah. I think that's a 275 00:15:46,160 --> 00:15:49,720 Speaker 2: better plan actually than the their plan. What is something 276 00:15:49,760 --> 00:15:50,760 Speaker 2: you think is underrated? 277 00:15:51,480 --> 00:15:56,800 Speaker 4: I think raccoons. I love raccoons, I know, but I 278 00:15:56,800 --> 00:16:00,320 Speaker 4: think they have a bad reputation. People think they are, 279 00:16:00,720 --> 00:16:05,440 Speaker 4: you know, these like skeevy, little gross, little creatures who 280 00:16:05,520 --> 00:16:10,680 Speaker 4: go through trash and they love. Yeah, but they're so cute, 281 00:16:10,960 --> 00:16:13,960 Speaker 4: And I don't really know a whole lot about them, 282 00:16:14,080 --> 00:16:16,520 Speaker 4: aside from the fact that I think they're cute and 283 00:16:16,560 --> 00:16:20,720 Speaker 4: that they have this reputation for being little trash monsters. 284 00:16:20,800 --> 00:16:22,840 Speaker 1: But I don't know. 285 00:16:22,880 --> 00:16:25,400 Speaker 4: I love raccoons. I think they're adorable, and I think 286 00:16:26,400 --> 00:16:30,800 Speaker 4: people should not be so harsh on them. 287 00:16:31,280 --> 00:16:34,240 Speaker 2: So a couple of quick questions, have you seen a 288 00:16:34,320 --> 00:16:35,280 Speaker 2: raccoon without hair? 289 00:16:36,600 --> 00:16:36,840 Speaker 4: No? 290 00:16:37,200 --> 00:16:39,720 Speaker 2: Okay, and I don't do that, And then. 291 00:16:39,880 --> 00:16:42,480 Speaker 1: Don't cover the alopecia raccoons. 292 00:16:41,960 --> 00:16:46,720 Speaker 2: Jack, I'm not coming for them. I'm just warning because 293 00:16:46,760 --> 00:16:50,760 Speaker 2: I don't want Caitlin to stop liking raccoons. On the 294 00:16:50,800 --> 00:16:55,000 Speaker 2: other hand, I also think raccoons are very cute. However, 295 00:16:55,240 --> 00:16:58,000 Speaker 2: I also so I was trying to befriend a murder 296 00:16:58,040 --> 00:17:00,440 Speaker 2: of crows in my backyard. This was happening over the 297 00:17:00,440 --> 00:17:01,120 Speaker 2: course of a year. 298 00:17:01,600 --> 00:17:03,480 Speaker 1: That is such a choke, Like you feel so chosen 299 00:17:03,480 --> 00:17:04,200 Speaker 1: when they like you. 300 00:17:04,560 --> 00:17:07,800 Speaker 2: I know, they never really came around they I think 301 00:17:07,800 --> 00:17:11,480 Speaker 2: it was my personality. They were like, he's like too desperate, 302 00:17:11,840 --> 00:17:14,320 Speaker 2: Like yeah, like he just like sits out there next 303 00:17:14,320 --> 00:17:18,040 Speaker 2: to those almonds and just like has that sad look 304 00:17:18,080 --> 00:17:22,679 Speaker 2: on his face. Anyways, I found one of the crows 305 00:17:22,720 --> 00:17:26,919 Speaker 2: like ripped in half in my backyard and I was like, what, 306 00:17:27,760 --> 00:17:31,560 Speaker 2: like monstrous cat did this? And then I noticed that 307 00:17:31,640 --> 00:17:35,920 Speaker 2: it was like right next to a overturned trash can, 308 00:17:36,680 --> 00:17:39,440 Speaker 2: and I have to assume. 309 00:17:40,920 --> 00:17:41,600 Speaker 1: Circumstantial. 310 00:17:41,800 --> 00:17:47,000 Speaker 2: Yeah, it was circumstantial, but it was like the most circumstantial. 311 00:17:46,320 --> 00:17:49,760 Speaker 1: And also a raccoon watching blood off its little tiny paws. 312 00:17:51,280 --> 00:17:54,479 Speaker 2: He like caught him, like he like turned around like 313 00:17:54,880 --> 00:17:56,080 Speaker 2: looking guilty as fuck. 314 00:17:56,119 --> 00:17:59,359 Speaker 1: He shoved the bandana from his around his eyes in 315 00:17:59,400 --> 00:17:59,959 Speaker 1: his pocket. 316 00:18:00,600 --> 00:18:03,080 Speaker 2: And I had seen a giant raccoon like in my 317 00:18:03,160 --> 00:18:06,679 Speaker 2: front yard like earlier that week. It was it was 318 00:18:06,760 --> 00:18:08,560 Speaker 2: a lot of circumstantial evidence. 319 00:18:08,760 --> 00:18:13,000 Speaker 4: I don't think raccoons kill rip crows in half. 320 00:18:13,560 --> 00:18:17,639 Speaker 2: I did find a video of a raccoon grabbing a 321 00:18:17,760 --> 00:18:22,439 Speaker 2: crow and then like just absconding with the crow into 322 00:18:22,480 --> 00:18:24,480 Speaker 2: the underbrush. 323 00:18:23,640 --> 00:18:25,919 Speaker 1: Like on YouTube or something. So it's something that they do. 324 00:18:26,200 --> 00:18:29,000 Speaker 2: But not that you can believe everything you see on YouTube, 325 00:18:29,040 --> 00:18:29,560 Speaker 2: but it was. 326 00:18:29,720 --> 00:18:31,919 Speaker 4: That was an AI generated video. 327 00:18:32,200 --> 00:18:32,720 Speaker 2: Probably. 328 00:18:33,880 --> 00:18:36,280 Speaker 1: I do think that they're very smart and very cute. 329 00:18:36,320 --> 00:18:38,720 Speaker 1: I've seen like a lot of rehabbed raccoons on my 330 00:18:38,800 --> 00:18:42,640 Speaker 1: Instagram and they're like, they're all just like I feel 331 00:18:42,640 --> 00:18:45,120 Speaker 1: like all animals are puppies if you give them enough 332 00:18:45,240 --> 00:18:47,480 Speaker 1: time to get to know them, you know what I mean. Yeah, 333 00:18:47,680 --> 00:18:49,719 Speaker 1: so I feel like raccoons are similar. And I do 334 00:18:49,840 --> 00:18:52,480 Speaker 1: feel like the reason that we get so annoyed with 335 00:18:52,920 --> 00:18:55,480 Speaker 1: animals that are in our proximity because of our own 336 00:18:56,400 --> 00:19:00,240 Speaker 1: our waste products, is because we don't want to be 337 00:19:00,280 --> 00:19:03,960 Speaker 1: reminded of our dirtiness, you know what I mean. Because 338 00:19:04,080 --> 00:19:07,120 Speaker 1: raccoons survive off of that, or like those monkeys that 339 00:19:07,520 --> 00:19:10,160 Speaker 1: kind of survive off of human waste or like waste 340 00:19:10,200 --> 00:19:13,560 Speaker 1: products or whatever or trash or whatever. We're like, oh, 341 00:19:13,600 --> 00:19:16,480 Speaker 1: they're dirty or like pigeons, But that's us, that's not 342 00:19:16,560 --> 00:19:17,480 Speaker 1: the raccoon, you. 343 00:19:17,440 --> 00:19:21,120 Speaker 2: Know, it's our wasst that they're ours, like going through Yeah, 344 00:19:21,560 --> 00:19:24,800 Speaker 2: they're clean. They're un wasting all the food that we waste. 345 00:19:25,040 --> 00:19:28,359 Speaker 1: Yeah, they're cleaning everything up. They're a little recycling pandas 346 00:19:28,400 --> 00:19:29,640 Speaker 1: not trash can does. 347 00:19:30,080 --> 00:19:34,160 Speaker 4: That reduce, reuse, recycle, that's the motto of raccoons. 348 00:19:34,440 --> 00:19:35,959 Speaker 1: Raccoon reduce respecting. 349 00:19:36,040 --> 00:19:39,359 Speaker 2: You try to throw it away and hide all the 350 00:19:39,400 --> 00:19:42,640 Speaker 2: ship that you're wasting. They rip it back out and 351 00:19:42,800 --> 00:19:45,760 Speaker 2: just put it on blast for everybody to see. Look 352 00:19:45,800 --> 00:19:47,879 Speaker 2: at look at what you've done, you know. 353 00:19:48,280 --> 00:19:52,240 Speaker 1: Yeah, they're the little Greta Thunbergs of cards. 354 00:19:53,560 --> 00:19:56,240 Speaker 2: That's great. Underrated, even though they did murder one of 355 00:19:56,240 --> 00:19:59,560 Speaker 2: my crows. What is something you think is overrated? Kitlin? 356 00:20:00,240 --> 00:20:05,800 Speaker 4: All right, living in LA this is blasphemous to say, 357 00:20:06,800 --> 00:20:09,560 Speaker 4: but I think hiking is overrated. 358 00:20:10,080 --> 00:20:10,679 Speaker 2: I hate it. 359 00:20:10,720 --> 00:20:15,000 Speaker 4: Anyone who's like go hiking with me, I tell them 360 00:20:15,000 --> 00:20:15,720 Speaker 4: to shove it. 361 00:20:16,359 --> 00:20:19,720 Speaker 2: Yeah, quote shove it. 362 00:20:19,720 --> 00:20:21,560 Speaker 4: It's just it's too hard. I know it's a good 363 00:20:21,640 --> 00:20:28,560 Speaker 4: workout or whatever, but it's slow, and it's much time 364 00:20:28,600 --> 00:20:32,640 Speaker 4: with you, and it's hard. Yeah, and I'm sweaty, and 365 00:20:32,960 --> 00:20:37,080 Speaker 4: especially like people I've suggested or no sorry, people have 366 00:20:37,119 --> 00:20:41,000 Speaker 4: suggested to me as a first date that we go 367 00:20:41,119 --> 00:20:43,359 Speaker 4: hiking and I'm like, you want to see me all 368 00:20:44,119 --> 00:20:50,400 Speaker 4: gross and sweaty and a not sex context, right, You Like, no, 369 00:20:50,520 --> 00:20:54,280 Speaker 4: I'm going to be smelly yea and nasty. And also 370 00:20:54,600 --> 00:21:00,200 Speaker 4: hiking is hard and that's why I don't like it. 371 00:21:00,520 --> 00:21:03,880 Speaker 4: And I what if you sprain your ankle? The risks 372 00:21:04,359 --> 00:21:08,160 Speaker 4: are high. I hate hiking the end. 373 00:21:08,880 --> 00:21:13,040 Speaker 1: I don't. Okay, here's the thing. I like having done 374 00:21:13,080 --> 00:21:16,959 Speaker 1: a hike. In the moment, I'm like, what did I do? 375 00:21:17,440 --> 00:21:19,960 Speaker 1: Why did I do this? Especially when it's hot. If 376 00:21:19,960 --> 00:21:23,119 Speaker 1: it's a cool day, that's different. It's like a fun walk. 377 00:21:23,160 --> 00:21:25,080 Speaker 1: And also I think a big part of the LA 378 00:21:25,160 --> 00:21:28,480 Speaker 1: hiking culture is we don't have enough what is it 379 00:21:28,600 --> 00:21:31,960 Speaker 1: like third place is like not work, not home, but 380 00:21:32,040 --> 00:21:36,000 Speaker 1: someplace else where we can yeah, third place, And we 381 00:21:36,040 --> 00:21:39,000 Speaker 1: don't have enough nature that's like right next to us, 382 00:21:39,080 --> 00:21:41,760 Speaker 1: that's like not crowded because of how the city is 383 00:21:41,840 --> 00:21:45,320 Speaker 1: laid out. So we all take our dogs there because 384 00:21:45,359 --> 00:21:47,960 Speaker 1: we don't have enough dog parks or yards or whatever. 385 00:21:48,400 --> 00:21:50,800 Speaker 1: And so for me, my goal with hiking is to 386 00:21:51,160 --> 00:21:53,679 Speaker 1: wear my dogs out so that they don't take control 387 00:21:53,760 --> 00:21:56,920 Speaker 1: of my one bedroom apartment when I come back, you know, right, 388 00:21:56,960 --> 00:21:58,479 Speaker 1: And so I think a lot of people think that way. 389 00:21:58,520 --> 00:22:00,680 Speaker 1: They're like, oh, like, it's not just for me, it's 390 00:22:00,680 --> 00:22:03,040 Speaker 1: for my dog, and then. 391 00:22:03,600 --> 00:22:07,080 Speaker 4: Fat, I don't have a dog. I have a hundred raccoons. 392 00:22:07,960 --> 00:22:09,520 Speaker 1: So they can carry you up and down. 393 00:22:12,000 --> 00:22:14,120 Speaker 2: On a sea of raccoons. 394 00:22:14,760 --> 00:22:16,200 Speaker 1: That is such a disturbing and. 395 00:22:16,359 --> 00:22:18,560 Speaker 2: Keep the intimidating. 396 00:22:18,680 --> 00:22:20,720 Speaker 4: For some reason, that's why I have such a hard 397 00:22:20,720 --> 00:22:24,080 Speaker 4: time on the dating apps, because they see me with 398 00:22:24,160 --> 00:22:27,720 Speaker 4: a photo with one hundreds and. 399 00:22:27,680 --> 00:22:32,840 Speaker 1: You're getting sweaty during this during them just carrying you everywhere. 400 00:22:34,280 --> 00:22:39,639 Speaker 2: Yeah, what is your ideal first date activity? Is it 401 00:22:39,680 --> 00:22:41,320 Speaker 2: a movie? Is it just a no? 402 00:22:41,359 --> 00:22:43,479 Speaker 4: I think a movie is a bad first date, as 403 00:22:43,520 --> 00:22:45,879 Speaker 4: much as I love movies, because you don't have the 404 00:22:45,920 --> 00:22:50,200 Speaker 4: opportunity to interact really and talk. If it's like dinner 405 00:22:50,200 --> 00:22:54,680 Speaker 4: plus a movie, maybe, but I tend to prefer the standard, 406 00:22:54,880 --> 00:22:59,160 Speaker 4: like grab a drink. Sure, if you have like an 407 00:22:59,160 --> 00:23:02,720 Speaker 4: easy you're not stuck it with a meal. If you don't, 408 00:23:03,080 --> 00:23:04,520 Speaker 4: if you're not into the day and you need to 409 00:23:04,560 --> 00:23:06,240 Speaker 4: bail early, yeah. 410 00:23:06,160 --> 00:23:09,680 Speaker 2: We have heard that you are willing to bail mid meal, 411 00:23:10,040 --> 00:23:11,920 Speaker 2: mid drink, Like just right. 412 00:23:11,920 --> 00:23:12,520 Speaker 1: I've done it. 413 00:23:12,880 --> 00:23:16,199 Speaker 4: Yeah, I've bailed. I've bailed after a half hour kind 414 00:23:16,240 --> 00:23:16,840 Speaker 4: of thing, which. 415 00:23:17,000 --> 00:23:18,679 Speaker 1: What did you did you say anything or did you 416 00:23:18,720 --> 00:23:20,840 Speaker 1: just slowly back into a bush like Homer Symon. 417 00:23:22,280 --> 00:23:24,280 Speaker 4: No, I'll be like, look, I'm not really feeling this, 418 00:23:24,680 --> 00:23:29,720 Speaker 4: I'm going to go, and usually it works out something great. 419 00:23:29,840 --> 00:23:32,640 Speaker 1: I love that. I wish I had done that on 420 00:23:32,680 --> 00:23:35,320 Speaker 1: so many occasions. I wish I'd been like, this date 421 00:23:35,400 --> 00:23:37,440 Speaker 1: is not going well, and then I just moved over 422 00:23:37,480 --> 00:23:39,320 Speaker 1: a seat and gotten a drink with myself, you know 423 00:23:39,320 --> 00:23:39,720 Speaker 1: what I mean? 424 00:23:41,160 --> 00:23:45,119 Speaker 2: Yeah, yeah, I mean that. Superducer Victor points out that 425 00:23:45,520 --> 00:23:49,240 Speaker 2: the hiking date, if it's not going well, you are still. 426 00:23:48,960 --> 00:23:51,560 Speaker 4: Stuck walking back a few miles, and which is a 427 00:23:51,600 --> 00:23:55,119 Speaker 4: strategy on the first like I think three dates even. 428 00:23:55,720 --> 00:23:58,240 Speaker 1: I think that's why a lot of men choose it 429 00:23:58,280 --> 00:24:00,959 Speaker 1: is because they're like, I'm I want to go hiking 430 00:24:01,160 --> 00:24:05,560 Speaker 1: act with me. It's free. And then they're like, you 431 00:24:05,600 --> 00:24:09,960 Speaker 1: can't bail, so they can, you know, stick stick with 432 00:24:10,000 --> 00:24:12,439 Speaker 1: you the whole time. And I think that's why a 433 00:24:12,480 --> 00:24:14,439 Speaker 1: lot of men use it as a first date. And 434 00:24:14,480 --> 00:24:17,840 Speaker 1: that's why I hate going. I don't think I've done 435 00:24:17,920 --> 00:24:21,400 Speaker 1: like hiking dates as a first date ever. I only 436 00:24:21,440 --> 00:24:23,160 Speaker 1: do that with friends. I need to catch up with 437 00:24:23,600 --> 00:24:26,240 Speaker 1: I'm like, I had a long catch up with my friend, 438 00:24:26,640 --> 00:24:28,840 Speaker 1: and it works great for that, but I would never 439 00:24:28,880 --> 00:24:30,120 Speaker 1: do it as a date for sure. 440 00:24:30,560 --> 00:24:33,680 Speaker 2: Does take like forty five minutes for them to explain 441 00:24:33,720 --> 00:24:37,160 Speaker 2: the finer points of libertarianism though, So that's why it 442 00:24:37,200 --> 00:24:41,040 Speaker 2: does work out pretty well because for the first like thirty, 443 00:24:41,280 --> 00:24:43,200 Speaker 2: you might not be on board, but it really they 444 00:24:43,200 --> 00:24:44,040 Speaker 2: bring it home and deck. 445 00:24:44,080 --> 00:24:45,800 Speaker 1: When you say them, do you mean. 446 00:24:45,680 --> 00:24:48,280 Speaker 2: They just other guys? 447 00:24:48,280 --> 00:24:51,040 Speaker 1: Definitely not me, not me. I definitely don't have my 448 00:24:51,080 --> 00:24:53,760 Speaker 1: favorite libertarian hikes mapped out across the city. 449 00:24:56,080 --> 00:24:59,560 Speaker 2: This one has timed out perfectly for the Joe Rogan 450 00:24:59,720 --> 00:25:03,800 Speaker 2: arguing for libertarianism. Yeah, I like work on my breath 451 00:25:03,920 --> 00:25:07,200 Speaker 2: so that I can talk like it's like Beyonce before 452 00:25:07,240 --> 00:25:09,280 Speaker 2: a concert. Wait, I have to be able to talk 453 00:25:09,320 --> 00:25:09,680 Speaker 2: the whole. 454 00:25:09,720 --> 00:25:11,840 Speaker 1: I literally used to do that to try to wrap 455 00:25:11,880 --> 00:25:14,600 Speaker 1: the bust of rhymes verse on. Look at me now. 456 00:25:14,680 --> 00:25:17,120 Speaker 1: I would walk up and downhills while I. 457 00:25:17,080 --> 00:25:19,640 Speaker 2: Was like, I did the dice rolling. 458 00:25:20,040 --> 00:25:21,399 Speaker 1: Yeah, to keep the dice rolling. 459 00:25:21,600 --> 00:25:24,800 Speaker 2: It works. Wow, Yeah, amazing, that was I remember that 460 00:25:24,880 --> 00:25:27,320 Speaker 2: was an anecdote about big Boy from Outcast that like 461 00:25:27,400 --> 00:25:28,840 Speaker 2: blew me away when I was a kid that he 462 00:25:28,920 --> 00:25:32,520 Speaker 2: used to like wrap while running to like get his 463 00:25:32,640 --> 00:25:35,520 Speaker 2: wind up. Like at live shows, he never was out 464 00:25:35,520 --> 00:25:35,959 Speaker 2: of breath. 465 00:25:36,240 --> 00:25:39,000 Speaker 1: Yeah. I have friends who are rappers who who since 466 00:25:39,040 --> 00:25:42,720 Speaker 1: they've started running, have really improved their performance. And I'm like, wow, 467 00:25:43,000 --> 00:25:44,520 Speaker 1: I guess I'm never going to be performer. 468 00:25:44,600 --> 00:25:49,199 Speaker 4: That's crazy, that's right, all right, I run while I 469 00:25:49,240 --> 00:25:52,040 Speaker 4: do my stand upright, stand up while I'm running, so 470 00:25:52,080 --> 00:25:52,400 Speaker 4: that I. 471 00:25:52,520 --> 00:25:55,640 Speaker 1: Never I'm just running past people. I'm like, you ever 472 00:25:55,800 --> 00:25:56,480 Speaker 1: suck a dick? 473 00:26:00,160 --> 00:26:05,199 Speaker 2: You'd see in La just sprint doing sprints, hill sprint 474 00:26:05,480 --> 00:26:09,920 Speaker 2: for the croft. Yeah. LA sounds terrible after this first act, 475 00:26:10,000 --> 00:26:12,960 Speaker 2: where like running clubs are where people meet and like 476 00:26:13,000 --> 00:26:14,400 Speaker 2: everybody's just hiking. 477 00:26:14,480 --> 00:26:16,240 Speaker 4: Hiking, and people hate. 478 00:26:17,960 --> 00:26:20,800 Speaker 1: Yeah, we're allowed to say it. Other people in New 479 00:26:20,880 --> 00:26:23,440 Speaker 1: York don't even start saying anything. We're allowed to say 480 00:26:23,520 --> 00:26:27,120 Speaker 1: for me, we can hate La. We live here, that's right. 481 00:26:27,680 --> 00:26:30,439 Speaker 2: All right, Let's take a quick break and we'll be 482 00:26:30,560 --> 00:26:45,159 Speaker 2: right back. And we're back. So Yeah, there's the image 483 00:26:45,680 --> 00:26:49,439 Speaker 2: of Trump looking at his phone on a table, looking 484 00:26:49,760 --> 00:26:52,560 Speaker 2: kind of forlorn that I feel like is the image 485 00:26:52,560 --> 00:26:57,440 Speaker 2: of the moment just wait, Trump waiting for America to 486 00:26:57,560 --> 00:27:03,880 Speaker 2: text back. But yeah, while Kelly and Conwen, his advisors, 487 00:27:03,920 --> 00:27:07,239 Speaker 2: continue to like beg him to stay on message and 488 00:27:07,280 --> 00:27:12,080 Speaker 2: deliver disciplined attacks on Harrison Walls via Fox News. We 489 00:27:12,160 --> 00:27:14,600 Speaker 2: talked about on trending, like they're just going on Fox 490 00:27:14,680 --> 00:27:18,560 Speaker 2: News to be like, okay, so this is the strategy, sir, 491 00:27:19,200 --> 00:27:22,520 Speaker 2: because they can't. He won't listen to anything that's not 492 00:27:22,560 --> 00:27:26,520 Speaker 2: like coming through his TV on Fox News. But yeah, 493 00:27:26,560 --> 00:27:31,640 Speaker 2: so in public appearances, he's acting like nothing's changed. He's 494 00:27:31,640 --> 00:27:33,719 Speaker 2: got this in the bag, there's nothing to worry about. 495 00:27:34,240 --> 00:27:38,200 Speaker 2: Behind the scenes, it's apparently getting a little sweaty, which 496 00:27:38,280 --> 00:27:40,800 Speaker 2: might be why he's gone with a new color palette. 497 00:27:40,840 --> 00:27:42,800 Speaker 2: By the way, have you noticed that he's like no 498 00:27:42,920 --> 00:27:46,239 Speaker 2: longer as colorful. He's just kind of looks like a 499 00:27:46,240 --> 00:27:47,440 Speaker 2: pale old man. Now. 500 00:27:47,760 --> 00:27:50,119 Speaker 1: It's kind of like Biden took his hand. Do you 501 00:27:50,119 --> 00:27:53,199 Speaker 1: remember when they started teaching Biden towards the end, like 502 00:27:53,280 --> 00:27:55,840 Speaker 1: old leather towards the end when he was like debating 503 00:27:55,880 --> 00:27:59,119 Speaker 1: and stuff, and like right after the debate they started 504 00:27:59,240 --> 00:28:01,600 Speaker 1: making him take the orange, and it's like he sucked 505 00:28:01,640 --> 00:28:02,919 Speaker 1: the color out of Trump. 506 00:28:03,480 --> 00:28:07,439 Speaker 2: Yeah, through the dick. He sucked it through the dick. 507 00:28:08,080 --> 00:28:11,879 Speaker 2: I'm just I have some short stories and that you 508 00:28:12,080 --> 00:28:19,920 Speaker 2: should check out. But yeah. So apparently he has grown 509 00:28:19,960 --> 00:28:23,280 Speaker 2: increasingly upset about Harris's surging pull numbers and media coverage 510 00:28:23,320 --> 00:28:27,680 Speaker 2: since replacing Biden on the ticket, complaining relentlessly and asking 511 00:28:27,720 --> 00:28:31,840 Speaker 2: friends about how his campaign is performing, which is I 512 00:28:31,880 --> 00:28:33,840 Speaker 2: love that little detail. 513 00:28:33,720 --> 00:28:38,280 Speaker 1: Instead of telling that's gross. Oh my god, I love 514 00:28:38,360 --> 00:28:38,840 Speaker 1: to see it. 515 00:28:39,120 --> 00:28:43,040 Speaker 2: Yeah, he's like, do people like me? Yes, exactly. 516 00:28:43,520 --> 00:28:45,080 Speaker 1: Oh my god. We need to bring back the tiny 517 00:28:45,120 --> 00:28:47,600 Speaker 1: hands thing. We could have this whole. It could be 518 00:28:47,640 --> 00:28:49,080 Speaker 1: another raccoon moment, you know. 519 00:28:49,800 --> 00:28:53,640 Speaker 2: Yeah, God, they do have terrifying I. 520 00:28:53,720 --> 00:28:55,400 Speaker 1: Love their tiny little hand Yeah. 521 00:28:55,440 --> 00:28:58,320 Speaker 2: Yeah, but they I mean, but I think that's why 522 00:28:58,320 --> 00:29:01,120 Speaker 2: they're able to tear a bird clean and half. Anyways, 523 00:29:01,400 --> 00:29:04,000 Speaker 2: they uh did not go the way you want it. 524 00:29:05,840 --> 00:29:08,479 Speaker 4: I don't think you have enough proof. Okay, but it 525 00:29:08,520 --> 00:29:11,479 Speaker 4: was a raccoon? Yeah, who tore this crow in half? 526 00:29:11,680 --> 00:29:12,440 Speaker 4: That's what I'm saying. 527 00:29:12,680 --> 00:29:15,160 Speaker 1: I just anyone has information on the crow that was 528 00:29:15,160 --> 00:29:17,080 Speaker 1: torn in asf please please let us know. 529 00:29:17,960 --> 00:29:20,360 Speaker 4: Even if it was a raccoon that tore the crow 530 00:29:20,400 --> 00:29:22,240 Speaker 4: in half, I'm sure he had a really good reason. 531 00:29:22,480 --> 00:29:24,600 Speaker 2: What if the crow was trying to get at the 532 00:29:24,680 --> 00:29:27,560 Speaker 2: trash while he was eating the trash, which is his 533 00:29:27,720 --> 00:29:31,920 Speaker 2: duty as an American. So you know, the crow fucked up. 534 00:29:32,560 --> 00:29:34,880 Speaker 1: I mean, you're not getting any closer to the crows either, Jack. 535 00:29:34,920 --> 00:29:35,640 Speaker 1: They're going to hear this. 536 00:29:35,760 --> 00:29:39,800 Speaker 2: You know that. Oh yeah, they're they're big listeners. But yeah, 537 00:29:39,800 --> 00:29:42,000 Speaker 2: I just like that the Trump campaign has all the 538 00:29:42,080 --> 00:29:46,360 Speaker 2: pulling and like strategic firepower of a leasing leading like 539 00:29:46,600 --> 00:29:51,400 Speaker 2: presidential campaign. And he's just like asking his friends how 540 00:29:51,440 --> 00:29:53,920 Speaker 2: he looks. He's like, he did, so, how do you 541 00:29:53,960 --> 00:29:56,720 Speaker 2: think we're doing? Do you think we're Do I look 542 00:29:56,760 --> 00:29:57,800 Speaker 2: cool out there? 543 00:29:58,200 --> 00:30:00,800 Speaker 1: I mean that's the whole reason he's running, That's the 544 00:30:00,840 --> 00:30:04,760 Speaker 1: only is for money and power and like to feel 545 00:30:04,880 --> 00:30:06,920 Speaker 1: cool in front of Baron, Like that's. 546 00:30:06,760 --> 00:30:08,280 Speaker 2: It, I don't think. 547 00:30:09,960 --> 00:30:12,600 Speaker 1: Yeah, but I mean like the people that that baron, 548 00:30:13,000 --> 00:30:14,640 Speaker 1: like his friends. 549 00:30:14,360 --> 00:30:17,719 Speaker 2: Yes, yeah, yeah that's true. I do feel like a 550 00:30:17,760 --> 00:30:21,320 Speaker 2: group of like fourteen year old boys could completely ruin 551 00:30:21,440 --> 00:30:24,880 Speaker 2: his self self confidence, which is very relatable. 552 00:30:24,920 --> 00:30:26,560 Speaker 1: If I got roasted by a group of fourteen year 553 00:30:26,560 --> 00:30:28,680 Speaker 1: old boys, yeah I would have a run for president again. 554 00:30:29,320 --> 00:30:32,440 Speaker 2: Yeah, I'd never leave my parents' basement. 555 00:30:32,880 --> 00:30:33,480 Speaker 1: Yeah yeah. 556 00:30:33,480 --> 00:30:37,200 Speaker 2: But also so he's also in public been expressing a 557 00:30:37,240 --> 00:30:40,840 Speaker 2: lot of confidence in the JD. Vance pick. Behind the scenes, 558 00:30:41,440 --> 00:30:45,360 Speaker 2: not so much there. There's quotes from people who have 559 00:30:45,440 --> 00:30:47,720 Speaker 2: been talking with him who said he picked Vance, he 560 00:30:47,800 --> 00:30:51,120 Speaker 2: knows Vance was a terrible, terrible pick. This is Scaramucci, 561 00:30:51,560 --> 00:30:52,240 Speaker 2: remember him. 562 00:30:52,400 --> 00:30:54,600 Speaker 1: This guy is back in full force. 563 00:30:56,760 --> 00:31:00,200 Speaker 2: I know quote he's lighting people up and I had 564 00:31:00,280 --> 00:31:04,920 Speaker 2: his campaign right now about picking Vance, which just you know, 565 00:31:05,000 --> 00:31:08,600 Speaker 2: we all we already know how he feels about Don Junior, 566 00:31:08,920 --> 00:31:12,240 Speaker 2: who is the one who like chose this candidate. 567 00:31:12,520 --> 00:31:13,960 Speaker 1: It's like, who DoD Junior? 568 00:31:14,000 --> 00:31:18,280 Speaker 2: Who's that Yeah, you're dead to me. I do wonder 569 00:31:18,400 --> 00:31:22,479 Speaker 2: if he like it's probably too late for him to 570 00:31:22,560 --> 00:31:27,280 Speaker 2: switch up VP candidates, although he seems so jealous of 571 00:31:27,320 --> 00:31:32,280 Speaker 2: the Democrats making the change that I could see him 572 00:31:32,840 --> 00:31:35,800 Speaker 2: trying to do it, trying to like fire Vance, and 573 00:31:36,280 --> 00:31:38,760 Speaker 2: I don't know who he would bring bring in in 574 00:31:38,840 --> 00:31:42,440 Speaker 2: his place. But like the other quote that they say 575 00:31:42,520 --> 00:31:44,720 Speaker 2: is he keeps saying it's unfair that I beat him, 576 00:31:44,720 --> 00:31:47,280 Speaker 2: and now I have to beat her too, So he's 577 00:31:47,360 --> 00:31:51,320 Speaker 2: like the you know, I could see that logic leading 578 00:31:51,400 --> 00:31:53,680 Speaker 2: him to try and fire Vance. 579 00:31:54,120 --> 00:31:56,160 Speaker 1: But then, yeah, who would he bring in? Who do 580 00:31:56,200 --> 00:31:57,400 Speaker 1: you think I. 581 00:31:57,360 --> 00:32:01,160 Speaker 2: Don't even know, like probably not Marco Rubio, but I 582 00:32:01,960 --> 00:32:05,480 Speaker 2: really don't know. Maybe Nikki Haley, although. 583 00:32:06,160 --> 00:32:07,680 Speaker 1: I mean that would be really funny because he is 584 00:32:07,760 --> 00:32:10,800 Speaker 1: very hypocritical, and so he would be like, oh, I'm 585 00:32:10,920 --> 00:32:14,000 Speaker 1: very insecure about being old and not a woman and 586 00:32:14,040 --> 00:32:17,400 Speaker 1: not ethnic in any capacity. Right, so I'm going to 587 00:32:17,440 --> 00:32:21,800 Speaker 1: bring someone in which is for the for a DEI 588 00:32:22,240 --> 00:32:25,800 Speaker 1: whatever that I called the other group out on. But 589 00:32:25,840 --> 00:32:30,480 Speaker 1: then he would hate her immediately. Yes, there's no one 590 00:32:30,520 --> 00:32:32,920 Speaker 1: that he could bring in that he wouldn't absolutely hate. 591 00:32:33,160 --> 00:32:35,560 Speaker 1: I feel like it almost he almost would like want 592 00:32:35,600 --> 00:32:37,760 Speaker 1: to get rid of Vans and then just run the 593 00:32:37,800 --> 00:32:40,320 Speaker 1: show on. Like he would be like, I'm also vice 594 00:32:40,360 --> 00:32:45,280 Speaker 1: president or like Ivanka come back, like like the like 595 00:32:45,440 --> 00:32:50,640 Speaker 1: defendant who is his son defending? 596 00:32:51,840 --> 00:32:55,080 Speaker 2: I mean, he is suing America. He's basically doing the 597 00:32:55,080 --> 00:32:57,560 Speaker 2: equivalent of being like this whole courtrooms out of. 598 00:32:57,600 --> 00:32:59,240 Speaker 1: Order because he loves this country. 599 00:32:59,680 --> 00:33:02,479 Speaker 2: Yeah. So the thing that's kind of putting the whole 600 00:33:02,640 --> 00:33:07,320 Speaker 2: movement of like the polls away from Trump towards Harris 601 00:33:07,360 --> 00:33:12,959 Speaker 2: and Walls into perspective is actually a clip from Nicky 602 00:33:13,000 --> 00:33:17,560 Speaker 2: Haley being interviewed on CNN last February, where She said, 603 00:33:17,600 --> 00:33:19,840 Speaker 2: the party that gets rid of their eighty year old 604 00:33:19,880 --> 00:33:22,600 Speaker 2: candidate is the party that will win. There will be 605 00:33:22,600 --> 00:33:25,240 Speaker 2: a female president of the United States. It will either 606 00:33:25,280 --> 00:33:28,760 Speaker 2: be me or it will be Kamala Harris. If Republicans 607 00:33:28,800 --> 00:33:31,880 Speaker 2: nominate Donald Trump, it will be Kamala Harris. We have 608 00:33:31,920 --> 00:33:35,240 Speaker 2: to respect. Seventy percent of Americans said they don't want 609 00:33:35,240 --> 00:33:38,840 Speaker 2: a Biden Trump rematch. The majority of Americans disapprove of 610 00:33:38,880 --> 00:33:42,520 Speaker 2: Trump and disapprove of Biden. So if that's right, that 611 00:33:42,640 --> 00:33:46,400 Speaker 2: explains kind of what is happening. People like didn't don't 612 00:33:46,520 --> 00:33:49,520 Speaker 2: like either of them, and the only reason Trump looked 613 00:33:49,560 --> 00:33:51,600 Speaker 2: like he was going to win was because they like 614 00:33:51,840 --> 00:33:53,080 Speaker 2: really didn't like Biden. 615 00:33:53,560 --> 00:33:55,560 Speaker 1: How freaked out you're saying? Nicky Haley is like, oh 616 00:33:55,560 --> 00:33:57,280 Speaker 1: my god, I was right, you guys, that's crazy. 617 00:33:57,280 --> 00:33:59,200 Speaker 2: If did it, I got one right. 618 00:33:59,080 --> 00:34:01,600 Speaker 1: It's insane. I can't believe they recorded that. 619 00:34:02,120 --> 00:34:07,600 Speaker 2: Yeah, But I just think that there's so much energy 620 00:34:07,840 --> 00:34:10,920 Speaker 2: right now, Like the latest polling has Kamala up five. 621 00:34:11,680 --> 00:34:14,600 Speaker 2: Inflation just dropped to its lowest level in three years, 622 00:34:14,840 --> 00:34:18,120 Speaker 2: so everything's looking good for her. It would be so 623 00:34:18,480 --> 00:34:21,360 Speaker 2: cool if she could get her administration to stop funding 624 00:34:21,400 --> 00:34:24,880 Speaker 2: the mass murder of a bunch of innocent children in Palestine. 625 00:34:25,200 --> 00:34:29,080 Speaker 1: But she is not paying a price for that right now, unfortunately, 626 00:34:29,239 --> 00:34:34,160 Speaker 1: So why would she stop if she doesn't have the 627 00:34:34,200 --> 00:34:35,520 Speaker 1: external pressure to do so. 628 00:34:35,920 --> 00:34:38,520 Speaker 2: I mean, I think there are going to be protests 629 00:34:38,600 --> 00:34:42,040 Speaker 2: that the DNC. It will be interesting to see how 630 00:34:42,120 --> 00:34:45,279 Speaker 2: much attention they get and what that attention looks like, 631 00:34:45,320 --> 00:34:48,280 Speaker 2: because it really feels like the way the mainstream media 632 00:34:48,440 --> 00:34:52,640 Speaker 2: metabolized the student protests, it has like turned it into 633 00:34:53,120 --> 00:34:59,160 Speaker 2: these are like anti Israel protests, anti Semitic protests like that, 634 00:34:59,239 --> 00:35:03,040 Speaker 2: they just like went with the bad faith interpretation. 635 00:35:03,960 --> 00:35:07,000 Speaker 1: Yeah, it's also interesting to see how the trends have 636 00:35:07,080 --> 00:35:09,680 Speaker 1: gone on Twitter, Like there's a huge increase in people 637 00:35:09,719 --> 00:35:15,840 Speaker 1: calling Palestinian protesters or activists the watermelon people, Like this 638 00:35:15,960 --> 00:35:18,440 Speaker 1: has become a thing, like I knew those watermelon people 639 00:35:18,880 --> 00:35:22,600 Speaker 1: were insidious or whatever and trying to pit different cultural 640 00:35:22,600 --> 00:35:26,560 Speaker 1: groups or races against each other, and it's just been 641 00:35:27,160 --> 00:35:29,880 Speaker 1: it's just been really weird to see the influx of 642 00:35:30,160 --> 00:35:33,040 Speaker 1: those types of tweets. So I'm not sure if they're 643 00:35:33,080 --> 00:35:36,360 Speaker 1: like genuine or if people are getting caught up, or 644 00:35:36,400 --> 00:35:39,080 Speaker 1: if it's like box or something or some combination of them. 645 00:35:39,400 --> 00:35:41,640 Speaker 1: But we do know that there have been Box involved 646 00:35:41,680 --> 00:35:45,600 Speaker 1: in previous American elections right before to try to influence it, 647 00:35:45,640 --> 00:35:47,359 Speaker 1: so I wouldn't be surprised if there were some of that. 648 00:35:48,280 --> 00:35:51,680 Speaker 1: But simultaneously, it is such a dismissive terminology. I really 649 00:35:51,760 --> 00:35:54,840 Speaker 1: hope it's not something that's taking on a life of 650 00:35:54,880 --> 00:35:55,279 Speaker 1: its own. 651 00:35:55,880 --> 00:35:59,400 Speaker 2: Yeah, I mean Twitter is absolute garbage. 652 00:36:00,280 --> 00:36:01,160 Speaker 1: That's when I do it. 653 00:36:01,680 --> 00:36:05,640 Speaker 2: Yeah, we are good. But then no, but they're like 654 00:36:06,080 --> 00:36:09,560 Speaker 2: they just keep pushing the dial to be like more 655 00:36:09,600 --> 00:36:12,720 Speaker 2: fascists more. Oh you you're still using it? How about 656 00:36:12,760 --> 00:36:16,320 Speaker 2: even more fascists like they I did get a helpful 657 00:36:16,360 --> 00:36:21,200 Speaker 2: notification that the Trump Musk interview was happening the other night. 658 00:36:21,320 --> 00:36:24,239 Speaker 2: I was like, oh cool, thanks, you know me so well. 659 00:36:24,760 --> 00:36:29,400 Speaker 2: So I don't know, it's a it's not a good. 660 00:36:30,400 --> 00:36:32,799 Speaker 1: Why do you turn into Mario when you're thinking about the. 661 00:36:34,560 --> 00:36:39,359 Speaker 2: That's that's how I'm getting good. So if I I'm 662 00:36:39,400 --> 00:36:42,600 Speaker 2: trying to wean myself off of a Trump my Trump 663 00:36:42,719 --> 00:36:44,480 Speaker 2: voice by doing a Mario. 664 00:36:44,680 --> 00:36:47,040 Speaker 1: Going back to the last choice, yeah, that's a really 665 00:36:47,040 --> 00:36:47,720 Speaker 1: great choice. 666 00:36:49,640 --> 00:36:56,839 Speaker 2: You're a fashions Let's take a quick break, shall we, 667 00:36:57,040 --> 00:36:59,200 Speaker 2: and come back and talk about things that aren't Donald Trump, 668 00:36:59,239 --> 00:37:13,360 Speaker 2: Maybe let's do it and we're back. And so we 669 00:37:13,400 --> 00:37:17,080 Speaker 2: talked yesterday about how Apple announced last week they're reigning 670 00:37:17,160 --> 00:37:21,080 Speaker 2: in they're spending on streaming after launching a bunch of 671 00:37:21,120 --> 00:37:24,840 Speaker 2: shows and keeping them a secret, like like it was 672 00:37:24,880 --> 00:37:27,360 Speaker 2: a trade secret, like there were no supposed to know 673 00:37:27,440 --> 00:37:28,399 Speaker 2: about that. 674 00:37:28,400 --> 00:37:30,440 Speaker 1: That's what I make just for me. 675 00:37:31,440 --> 00:37:35,080 Speaker 2: That's right now. Paramount announced within the past couple of 676 00:37:35,120 --> 00:37:38,680 Speaker 2: days that they're shuttering their TV studios. But these are 677 00:37:38,760 --> 00:37:44,120 Speaker 2: just examples of how economically depressed the American entertainment industry 678 00:37:44,120 --> 00:37:45,960 Speaker 2: seems to have been for the past year. 679 00:37:46,320 --> 00:37:49,280 Speaker 1: Not just economically, buddy, have you seen my bank account? 680 00:37:49,960 --> 00:37:54,440 Speaker 2: Yeah, it's it's bad out there. Like everybody I talked 681 00:37:54,440 --> 00:37:58,120 Speaker 2: to who works in the entertainment industry is like, this 682 00:37:58,400 --> 00:38:00,680 Speaker 2: is the worst I've ever seen it. Like that seems 683 00:38:00,719 --> 00:38:04,480 Speaker 2: to be the and I've talked to I'm old as 684 00:38:04,480 --> 00:38:07,120 Speaker 2: fuck you, guys. I've talked to some very old people 685 00:38:07,160 --> 00:38:08,920 Speaker 2: who say it's the worst they've ever seen. 686 00:38:08,760 --> 00:38:10,520 Speaker 1: It, well, like over thirty. 687 00:38:10,880 --> 00:38:12,239 Speaker 2: Like even thirty five. 688 00:38:13,280 --> 00:38:13,960 Speaker 1: Disgusting. 689 00:38:14,160 --> 00:38:17,280 Speaker 2: I try not to hang out with them, but you know, weird. 690 00:38:17,320 --> 00:38:19,560 Speaker 1: They take your life for us. 691 00:38:19,800 --> 00:38:22,960 Speaker 2: Yeah, they need their putting fed to them. 692 00:38:23,160 --> 00:38:26,520 Speaker 4: So but I feel like this is all because of 693 00:38:26,760 --> 00:38:28,640 Speaker 4: and I don't know enough about it. So I'm kind 694 00:38:28,640 --> 00:38:33,920 Speaker 4: of speculating here, but the that's what that's how this 695 00:38:34,040 --> 00:38:38,120 Speaker 4: show should be, right, just like making wild guesses and yeah, all. 696 00:38:38,000 --> 00:38:44,000 Speaker 1: Weird, caveat it, you can say anything. Yeah, So I 697 00:38:44,040 --> 00:38:46,440 Speaker 1: think I don't know enough about it. 698 00:38:48,080 --> 00:38:53,759 Speaker 4: There's like too much supply and not enough demand. There's 699 00:38:53,800 --> 00:38:56,040 Speaker 4: just like too much content and they're spending money on 700 00:38:56,040 --> 00:38:58,880 Speaker 4: all these shows and like all these things, and every 701 00:38:58,920 --> 00:39:03,480 Speaker 4: platform has like bazillion original series and original movies and 702 00:39:03,480 --> 00:39:06,239 Speaker 4: stuff like that, and it's like there's no conceivable way 703 00:39:06,280 --> 00:39:10,200 Speaker 4: that any person who even like even people who consume 704 00:39:10,400 --> 00:39:16,719 Speaker 4: a lot of media, such as myself, I'm constantly watching Flims, but. 705 00:39:16,800 --> 00:39:17,719 Speaker 2: Like whim, I don't know. 706 00:39:18,520 --> 00:39:19,640 Speaker 4: Yeah, Flims. 707 00:39:19,800 --> 00:39:23,080 Speaker 1: Okay, they're about three hours long with no breaks. Now 708 00:39:23,200 --> 00:39:25,040 Speaker 1: you know Flims. You go to the movie Nicole Kidman 709 00:39:25,080 --> 00:39:26,399 Speaker 1: talks at you at the beginning. 710 00:39:26,239 --> 00:39:32,239 Speaker 4: Yeah, we'll come to this place for Flims. So it's 711 00:39:32,280 --> 00:39:34,880 Speaker 4: just like there's too much And that's why I'm guessing 712 00:39:34,880 --> 00:39:37,919 Speaker 4: that's why there's such a Because back in the day 713 00:39:38,280 --> 00:39:42,520 Speaker 4: when Hollywood was thriving is because there were like I 714 00:39:42,560 --> 00:39:46,239 Speaker 4: don't know, likeludes three there's lutes and. 715 00:39:46,280 --> 00:39:49,640 Speaker 2: That coalutes and cocaine at the same time, we thought 716 00:39:49,680 --> 00:39:51,960 Speaker 2: both of them were healthy and they're only. 717 00:39:51,760 --> 00:39:54,440 Speaker 4: Like, you know, five new movies coming out every month. 718 00:39:54,640 --> 00:39:56,560 Speaker 4: And there was like just not that much content, and 719 00:39:56,560 --> 00:39:59,000 Speaker 4: now there's too much. And if I know anything about 720 00:39:59,320 --> 00:40:04,000 Speaker 4: the economics, which I don't, but I know some I 721 00:40:04,080 --> 00:40:06,640 Speaker 4: know that it's like supply and demand. Yeah, and there's 722 00:40:06,640 --> 00:40:09,600 Speaker 4: too much supply and not And there. 723 00:40:09,560 --> 00:40:10,200 Speaker 2: Has been. 724 00:40:11,719 --> 00:40:16,919 Speaker 1: Investing or like mentoring or allowing things to grow, which 725 00:40:16,920 --> 00:40:20,280 Speaker 1: I think is tied into that problem. They're not allowing 726 00:40:20,560 --> 00:40:23,080 Speaker 1: good content. That's like kind of the As an avid 727 00:40:23,120 --> 00:40:26,080 Speaker 1: reality TV show fan, I have to call out that 728 00:40:26,160 --> 00:40:28,160 Speaker 1: the reason that they do that is because it's a 729 00:40:28,160 --> 00:40:31,680 Speaker 1: lot cheaper to do that and pump out a ton 730 00:40:31,719 --> 00:40:36,000 Speaker 1: of seasons of the same show rather than invest in 731 00:40:36,120 --> 00:40:39,600 Speaker 1: like the development of characters and plot and getting like 732 00:40:39,680 --> 00:40:42,000 Speaker 1: the actors that you really want to get. That's like great, 733 00:40:42,040 --> 00:40:44,600 Speaker 1: you know what I mean, They're not just not as 734 00:40:44,640 --> 00:40:46,400 Speaker 1: invested in the quality of the content. 735 00:40:46,760 --> 00:40:50,360 Speaker 2: Yeah, I mean, so they invest they overinvested in streaming. 736 00:40:50,800 --> 00:40:54,440 Speaker 2: They like went too hard on streaming, and now they 737 00:40:54,440 --> 00:40:58,680 Speaker 2: have stopped developing like anything new, like they just cut 738 00:40:58,719 --> 00:41:01,760 Speaker 2: it off. And that's why I like all these streaming 739 00:41:01,760 --> 00:41:04,279 Speaker 2: companies are like you know, you're starting to see the 740 00:41:04,320 --> 00:41:08,600 Speaker 2: headlines that they're like pulling it back after overinvesting without 741 00:41:08,640 --> 00:41:13,000 Speaker 2: really any business plan of like how to make money 742 00:41:13,040 --> 00:41:16,080 Speaker 2: off of that. It was just so I think there's 743 00:41:16,160 --> 00:41:19,400 Speaker 2: like one of the big things that happened is like 744 00:41:19,520 --> 00:41:23,719 Speaker 2: there's no it's now controlled by like five big companies. 745 00:41:24,000 --> 00:41:28,960 Speaker 2: Like in the past Hollywood had been had enough regulations 746 00:41:28,960 --> 00:41:33,800 Speaker 2: in place to prevent just massive consolidation like we have now, 747 00:41:33,920 --> 00:41:37,080 Speaker 2: and then slowly by slowly, like starting with Reagan and 748 00:41:37,160 --> 00:41:39,080 Speaker 2: into like the Clinton administration. 749 00:41:39,680 --> 00:41:42,440 Speaker 4: Reygun yeah, well famous breakdancer Reygun. 750 00:41:42,760 --> 00:41:45,799 Speaker 2: Yeah. Yes, she was the president of the US from 751 00:41:45,880 --> 00:41:50,160 Speaker 2: eighty to eighty eight, and she came through and just deregulated, 752 00:41:50,360 --> 00:41:54,280 Speaker 2: Like it's just deregulation over and over until now there's 753 00:41:54,360 --> 00:41:58,840 Speaker 2: like only a handful of companies and they're all chasing 754 00:41:58,880 --> 00:42:02,640 Speaker 2: each other, and you know, so like one of them 755 00:42:03,200 --> 00:42:07,000 Speaker 2: has like decides to invest in streaming, and so they 756 00:42:07,120 --> 00:42:11,239 Speaker 2: all like overinvest in streaming, and then there's just not 757 00:42:12,200 --> 00:42:16,680 Speaker 2: the small companies anymore. Who like when the big companies 758 00:42:16,760 --> 00:42:19,640 Speaker 2: all do the same stupid thing, are there to like 759 00:42:19,800 --> 00:42:23,239 Speaker 2: zag and like do the smart thing that then the 760 00:42:23,280 --> 00:42:27,160 Speaker 2: big companies like impersonate and like copy off of you know. 761 00:42:27,280 --> 00:42:31,400 Speaker 2: So now it's just like big guys making terrible decisions 762 00:42:31,520 --> 00:42:35,120 Speaker 2: and making the same terrible decision all at the same time, 763 00:42:35,760 --> 00:42:39,279 Speaker 2: and nobody there to do the smart thing that like 764 00:42:39,560 --> 00:42:43,200 Speaker 2: creates the market correction. That and then the other really 765 00:42:43,560 --> 00:42:47,680 Speaker 2: big problem is that private equity has gotten Like in 766 00:42:47,680 --> 00:42:49,880 Speaker 2: two thousand and eight, you know, when they were just 767 00:42:49,920 --> 00:42:54,279 Speaker 2: basically printing money for free, private equity got involved in Hollywood, 768 00:42:54,680 --> 00:42:58,120 Speaker 2: and so now we have a handful of like massive 769 00:42:58,160 --> 00:43:02,600 Speaker 2: companies and they private equity money is involved. So their 770 00:43:02,719 --> 00:43:06,640 Speaker 2: instincts are like private equity are these like massive companies 771 00:43:06,960 --> 00:43:10,839 Speaker 2: and their model is like trying to make money as 772 00:43:11,040 --> 00:43:15,000 Speaker 2: quickly as possible. They're just like extracting capital from these 773 00:43:15,040 --> 00:43:17,319 Speaker 2: companies that they're investing in or taking over. 774 00:43:17,800 --> 00:43:20,280 Speaker 1: And so it's private equity equity. 775 00:43:20,280 --> 00:43:24,520 Speaker 2: They're just like us, yes, yeah, And so I just 776 00:43:24,560 --> 00:43:26,759 Speaker 2: feel like we have fewer people calling the shots, and 777 00:43:26,760 --> 00:43:29,680 Speaker 2: the people calling the shots have just way worse instincts. 778 00:43:30,200 --> 00:43:33,919 Speaker 2: And this is how you get to the entertainment dark 779 00:43:33,960 --> 00:43:37,600 Speaker 2: ages that we might be about to live through, which. 780 00:43:37,360 --> 00:43:40,120 Speaker 4: Is a bummer because so many good movie I feel 781 00:43:40,120 --> 00:43:43,600 Speaker 4: like there was a period of like the content that 782 00:43:43,760 --> 00:43:47,480 Speaker 4: was coming out and yet and like I'm speaking from 783 00:43:47,560 --> 00:43:53,840 Speaker 4: a place of like my personal taste, yes, but but 784 00:43:54,560 --> 00:43:57,480 Speaker 4: so so many of the movies that came out have 785 00:43:57,560 --> 00:43:59,560 Speaker 4: come out with in the past like and I'm speaking 786 00:43:59,719 --> 00:44:03,760 Speaker 4: again and also specifically about movies more so than TV. 787 00:44:03,960 --> 00:44:06,319 Speaker 4: But I guess what I'm saying is no more TV. 788 00:44:06,719 --> 00:44:09,480 Speaker 4: More movies. That's the platform that I'm running. 789 00:44:09,560 --> 00:44:13,000 Speaker 1: Glimbs on flims. 790 00:44:13,600 --> 00:44:15,880 Speaker 4: We've been heard this period in the past couple of 791 00:44:15,960 --> 00:44:21,360 Speaker 4: years where like some really good not like major studio pictures, 792 00:44:21,440 --> 00:44:26,360 Speaker 4: things that are like lower budget, not based on you know, 793 00:44:26,440 --> 00:44:31,239 Speaker 4: comic books or any existing you know, huge properties, just 794 00:44:31,280 --> 00:44:36,280 Speaker 4: like independent, low budget but like really well done movies 795 00:44:37,000 --> 00:44:38,759 Speaker 4: are coming out. Because there was like I don't know, 796 00:44:38,760 --> 00:44:40,399 Speaker 4: there was like five years where I'm like, every movie 797 00:44:40,400 --> 00:44:43,640 Speaker 4: I've seen this year sucks. But within the past couple 798 00:44:43,640 --> 00:44:48,360 Speaker 4: of years there's so much new good stuff and I 799 00:44:48,360 --> 00:44:52,280 Speaker 4: would hate to see that all go away because Hollywood 800 00:44:52,280 --> 00:44:54,799 Speaker 4: doesn't understand what people want. 801 00:44:55,440 --> 00:44:55,680 Speaker 2: Right. 802 00:44:55,760 --> 00:44:58,840 Speaker 4: Everyone should see DD. Everyone should see meeecap. Everyone should 803 00:44:58,880 --> 00:45:02,160 Speaker 4: see other movies that have come out recently. 804 00:45:03,280 --> 00:45:07,880 Speaker 2: Good the end, Thelma, Okay, is that good? Thelma? 805 00:45:08,360 --> 00:45:10,920 Speaker 4: I loved Selma. I thought it was so fun. And 806 00:45:10,920 --> 00:45:14,840 Speaker 4: then like last year, there were all these great movies Theater, Camp, 807 00:45:15,320 --> 00:45:20,840 Speaker 4: Dix The Musical, and also others. Unless I have a 808 00:45:20,840 --> 00:45:22,719 Speaker 4: list in front of me, I never know what I'm 809 00:45:22,760 --> 00:45:23,360 Speaker 4: talking about. 810 00:45:23,520 --> 00:45:27,520 Speaker 1: But obviously The Beekeeper is on that list for sure. 811 00:45:27,960 --> 00:45:31,360 Speaker 2: The bee Keeper Fully in the. 812 00:45:30,680 --> 00:45:34,280 Speaker 4: Caper, Jason Statham in the actor Darling. 813 00:45:34,360 --> 00:45:38,640 Speaker 1: Yes, I just watched Trap. That sure doesn't make sense. Yeah, 814 00:45:39,360 --> 00:45:42,640 Speaker 1: but I'm a huge advocate of Indian mediocrity, so I'm 815 00:45:42,640 --> 00:45:43,879 Speaker 1: going to always support mn. 816 00:45:43,840 --> 00:45:49,440 Speaker 2: Shyamalan and his kids. And Taylor he said. 817 00:45:49,400 --> 00:45:51,960 Speaker 1: Yeah, he said that she was his niece in the movie. 818 00:45:51,960 --> 00:45:53,920 Speaker 1: But it sounds but it might be as kid it 819 00:45:54,040 --> 00:45:55,759 Speaker 1: was fully just an album rollout for her. 820 00:45:57,800 --> 00:45:59,799 Speaker 2: I will say, intrigued by that. I want to see 821 00:45:59,800 --> 00:46:01,319 Speaker 2: that the same I had. 822 00:46:01,360 --> 00:46:03,880 Speaker 1: Such it's a trap itself because I had really high hopes. 823 00:46:04,400 --> 00:46:08,440 Speaker 2: And isn't there anyone in your theater like trying to 824 00:46:08,560 --> 00:46:09,720 Speaker 2: kill like kill people? 825 00:46:09,800 --> 00:46:13,000 Speaker 1: Because I feel like no, well kind of because we 826 00:46:13,040 --> 00:46:15,200 Speaker 1: went and Jackieth and I went and saw it, and 827 00:46:15,760 --> 00:46:20,520 Speaker 1: Ryan from the Boys, the kid Homelander's son in The Boys, 828 00:46:20,800 --> 00:46:22,960 Speaker 1: was there with all of his friends, like the actor 829 00:46:23,120 --> 00:46:25,960 Speaker 1: who played Oh wow, that kid, but he wasn't trying 830 00:46:25,960 --> 00:46:26,520 Speaker 1: to kill anyone. 831 00:46:26,920 --> 00:46:27,799 Speaker 2: That's disappointing. 832 00:46:28,160 --> 00:46:29,600 Speaker 1: It was a trap in that I thought it would 833 00:46:29,600 --> 00:46:32,600 Speaker 1: be fun, and then it was fun, but also very confusing. 834 00:46:33,200 --> 00:46:34,759 Speaker 1: One thing that I was going to say is like, 835 00:46:35,080 --> 00:46:38,359 Speaker 1: this is all like on a high studio. Oh, there 836 00:46:38,360 --> 00:46:43,600 Speaker 1: are these conglomerates, deregulation, regularization level, but for how that 837 00:46:43,680 --> 00:46:46,960 Speaker 1: affects like us individually, the fact that we can't pitch 838 00:46:47,000 --> 00:46:49,680 Speaker 1: new shows. But even beyond that, I'm seeing more and 839 00:46:49,760 --> 00:46:54,799 Speaker 1: more huge celebrities in commercials that just nobody's like us 840 00:46:54,840 --> 00:46:55,799 Speaker 1: should be in. You know. 841 00:46:55,960 --> 00:46:58,759 Speaker 2: So the day to day in used to be just 842 00:46:58,880 --> 00:46:59,920 Speaker 2: everyday actors. 843 00:47:00,160 --> 00:47:01,960 Speaker 1: Yeah, it used to be just every I went into 844 00:47:02,480 --> 00:47:04,960 Speaker 1: audition and I saw somebody who I've seen for I 845 00:47:04,960 --> 00:47:06,880 Speaker 1: don't remember. He's one of those people you see him 846 00:47:06,880 --> 00:47:09,560 Speaker 1: in everything, you don't know his name. He was also auditioning. 847 00:47:09,640 --> 00:47:11,759 Speaker 1: I'm like, what are you doing here? You're like a 848 00:47:11,840 --> 00:47:15,920 Speaker 1: TV movie star. Let me sell my soul for this, 849 00:47:16,160 --> 00:47:19,920 Speaker 1: Like why? And you see that with also like what 850 00:47:19,960 --> 00:47:22,600 Speaker 1: they're willing to take risks on. And then the second 851 00:47:22,640 --> 00:47:24,360 Speaker 1: thing I wanted to say was I saw a clip 852 00:47:24,560 --> 00:47:28,520 Speaker 1: that Jackie supposed today of like Matt Damon explaining why 853 00:47:29,239 --> 00:47:31,120 Speaker 1: you can't make the same movies that you did in 854 00:47:31,120 --> 00:47:33,680 Speaker 1: the nineties, and it's because of streaming and how like 855 00:47:33,960 --> 00:47:38,560 Speaker 1: they had the DVD release and so they were able 856 00:47:38,600 --> 00:47:41,440 Speaker 1: to get their income both from the box office and 857 00:47:41,480 --> 00:47:46,040 Speaker 1: then the later DVD release. But now it's it's only 858 00:47:46,640 --> 00:47:49,760 Speaker 1: it's very it's a lot less in theaters because people 859 00:47:49,760 --> 00:47:51,759 Speaker 1: have the option of streaming, which I think is great 860 00:47:51,800 --> 00:47:56,319 Speaker 1: and accessible, but it just means that less money is 861 00:47:56,360 --> 00:48:00,920 Speaker 1: invested into different types of films and there's fewer risks 862 00:48:00,960 --> 00:48:05,960 Speaker 1: that are being taken or fewer incentives for people to 863 00:48:06,080 --> 00:48:08,640 Speaker 1: bet on these movies that might not might not have 864 00:48:08,760 --> 00:48:12,480 Speaker 1: big box office summer action film Fast and the Furious 865 00:48:12,560 --> 00:48:15,879 Speaker 1: thirty two rest assert release. 866 00:48:16,040 --> 00:48:19,160 Speaker 2: Yeah, they because it's they've been taken over by corporations. 867 00:48:19,160 --> 00:48:23,600 Speaker 2: Corporations always want to like eliminate risk as much as possible, 868 00:48:23,640 --> 00:48:27,640 Speaker 2: which is impossible with art. But up to this point, 869 00:48:27,680 --> 00:48:32,799 Speaker 2: we've had a bunch of federal regulations protecting it from 870 00:48:32,840 --> 00:48:36,520 Speaker 2: being the way it is, like right now four companies 871 00:48:36,600 --> 00:48:40,359 Speaker 2: controlled more than seventy five percent of WGA writers earnings. 872 00:48:40,680 --> 00:48:44,040 Speaker 2: Like there's four companies that control the whole thing like that. 873 00:48:44,320 --> 00:48:47,200 Speaker 2: There were so many laws in place to keep that 874 00:48:47,320 --> 00:48:51,359 Speaker 2: from happening, and now it's just these four companies who 875 00:48:51,600 --> 00:48:54,800 Speaker 2: all when like one of them said we're going to 876 00:48:54,840 --> 00:48:57,400 Speaker 2: do our launch our own streaming platform and like double 877 00:48:57,440 --> 00:49:00,520 Speaker 2: down on content, they all did that. They created this 878 00:49:00,680 --> 00:49:04,680 Speaker 2: like bloated thing that wasn't well thought through and like 879 00:49:04,840 --> 00:49:06,960 Speaker 2: where they didn't know how they were going to get 880 00:49:06,960 --> 00:49:10,200 Speaker 2: people to actually fucking watch the stuff that they were making, 881 00:49:10,600 --> 00:49:14,760 Speaker 2: and then when that failed predictably, now they're like, well, 882 00:49:15,080 --> 00:49:17,680 Speaker 2: you know, the way that they're responding to that is 883 00:49:17,680 --> 00:49:23,160 Speaker 2: like writers are no longer like they took away development pay. 884 00:49:23,320 --> 00:49:24,799 Speaker 2: It used to be a thing where like they would 885 00:49:24,800 --> 00:49:28,319 Speaker 2: sign on a writer to develop a pitch that they 886 00:49:28,320 --> 00:49:31,440 Speaker 2: had approved or that they were interested in, and like 887 00:49:31,440 --> 00:49:33,960 Speaker 2: that writer would be on the payroll for however long 888 00:49:33,960 --> 00:49:36,680 Speaker 2: it took to develop it. And now they've just like 889 00:49:36,960 --> 00:49:40,280 Speaker 2: changed it so that writers have to do that all 890 00:49:40,480 --> 00:49:45,600 Speaker 2: by themselves, Like they don't get paid during the development process. 891 00:49:46,160 --> 00:49:49,440 Speaker 1: Can you imagine a people to judge like McKinley consultant 892 00:49:49,520 --> 00:49:51,719 Speaker 1: coming in and being like, you have to play moms now, 893 00:49:51,800 --> 00:49:58,120 Speaker 1: you're too old. Top down consultant, business person. 894 00:49:58,600 --> 00:50:01,920 Speaker 2: Yeah, I know writer who have like spent years developing 895 00:50:02,000 --> 00:50:06,000 Speaker 2: projects that like are you know, have actors attached and 896 00:50:06,200 --> 00:50:08,960 Speaker 2: like seem like they're gonna go and then never go. 897 00:50:09,080 --> 00:50:12,640 Speaker 2: And that person just like worked for a year and 898 00:50:13,120 --> 00:50:15,680 Speaker 2: didn't see like a single cent and it's just like 899 00:50:15,760 --> 00:50:20,400 Speaker 2: that's the way it's set up. Now. It's like a 900 00:50:20,560 --> 00:50:24,240 Speaker 2: really anti worker situation. It fucking sucks. 901 00:50:24,600 --> 00:50:27,000 Speaker 4: Yeah. Yeah. I have a friend who has been working 902 00:50:27,160 --> 00:50:30,680 Speaker 4: for a couple of years on a script that's like 903 00:50:30,840 --> 00:50:38,320 Speaker 4: a studio backed superhero movie and like has not been 904 00:50:38,360 --> 00:50:45,160 Speaker 4: paid to like frequently enough or enough like amount of 905 00:50:45,200 --> 00:50:49,040 Speaker 4: money for all the work he has put in. And 906 00:50:49,080 --> 00:50:53,160 Speaker 4: I keep being like like can you can you like, 907 00:50:53,200 --> 00:50:55,440 Speaker 4: how do you advocate for yourself? Can you ask for 908 00:50:56,120 --> 00:51:01,040 Speaker 4: money for the labor you're tirelessly doing? And he's just like, uh, yeah, 909 00:51:01,880 --> 00:51:05,120 Speaker 4: I'm trying, but they don't want to pay. And I'm 910 00:51:05,160 --> 00:51:09,080 Speaker 4: just like what is this? What is this world? Yeah? 911 00:51:09,120 --> 00:51:13,960 Speaker 1: That's wild because also everybody is desperate and so there's 912 00:51:14,040 --> 00:51:19,320 Speaker 1: always someone to replace you, and that just that feeling sucks. Yeah, 913 00:51:19,440 --> 00:51:22,319 Speaker 1: or like how during the writers' strike, I forget which 914 00:51:22,360 --> 00:51:26,160 Speaker 1: executive said that they were essentially like trying to threaten 915 00:51:26,280 --> 00:51:27,520 Speaker 1: us with homelessness. 916 00:51:28,040 --> 00:51:31,320 Speaker 4: Yeah, oh yeah, which guy was that? Which horrible monster? 917 00:51:32,160 --> 00:51:36,240 Speaker 2: It was either a Disney guy or Zazz the Zazz. 918 00:51:37,560 --> 00:51:41,600 Speaker 2: But yeah, So the thing that they're going to because 919 00:51:42,239 --> 00:51:45,760 Speaker 2: the development process has too much quote unquote like risk 920 00:51:46,440 --> 00:51:51,720 Speaker 2: for these now like purely corporate entities that run seventy 921 00:51:51,719 --> 00:51:55,399 Speaker 2: five percent of Hollywood, they're going to be even more 922 00:51:55,480 --> 00:52:01,840 Speaker 2: reliant on IP, which is going to make movies shittier. 923 00:52:01,960 --> 00:52:06,400 Speaker 2: Like we're already seeing people be like God, like Shazam 924 00:52:06,520 --> 00:52:11,520 Speaker 2: two came out last year, Like I like that. I 925 00:52:11,880 --> 00:52:16,280 Speaker 2: can't believe speaking of Libertarian last year, right, the same 926 00:52:16,360 --> 00:52:19,880 Speaker 2: actor just drop what's his name zach Leva. 927 00:52:19,760 --> 00:52:22,640 Speaker 4: Zackly, Zachary Levi and Harold and the Purple Crown. 928 00:52:22,719 --> 00:52:30,320 Speaker 2: Yeah, another another IP grab from like a nineteen fifties 929 00:52:30,400 --> 00:52:34,080 Speaker 2: children's book. But because you don't have to like pay 930 00:52:34,120 --> 00:52:36,960 Speaker 2: anyone whose idea that was, they're just like, I don't know, 931 00:52:37,040 --> 00:52:41,040 Speaker 2: let's just grab fucking everything on our shelves and green 932 00:52:41,120 --> 00:52:44,600 Speaker 2: light it. The Rubik's Cube the movie like whatever. 933 00:52:44,440 --> 00:52:48,200 Speaker 4: You know, it's only okay when it's patted right. 934 00:52:48,320 --> 00:52:51,080 Speaker 2: It's fine when it's and sometimes it works out. 935 00:52:51,320 --> 00:52:55,440 Speaker 1: It wasn't for those reasons, if it wasn't to avoid 936 00:52:55,520 --> 00:52:58,799 Speaker 1: paying people, mm hmm, because then they could actually make 937 00:52:58,840 --> 00:52:59,680 Speaker 1: a good movie. 938 00:53:00,280 --> 00:53:03,840 Speaker 2: Heard of. The Purple Crown cost forty million dollars on production, 939 00:53:04,360 --> 00:53:09,400 Speaker 2: probably another forty in you know, marketing it, and it 940 00:53:09,719 --> 00:53:14,560 Speaker 2: made nine million globally, like in its first week. Like 941 00:53:14,600 --> 00:53:17,600 Speaker 2: it's just a complete And I could have told them 942 00:53:17,719 --> 00:53:21,040 Speaker 2: if they had they had just asked me, I could 943 00:53:21,080 --> 00:53:22,880 Speaker 2: have told them that was going to happen. 944 00:53:23,000 --> 00:53:25,319 Speaker 1: And that money, that forty million is not going to 945 00:53:25,400 --> 00:53:28,200 Speaker 1: Caitlin's friend who needs to get paid for them, No, 946 00:53:28,640 --> 00:53:29,640 Speaker 1: going to other people. 947 00:53:30,239 --> 00:53:34,600 Speaker 4: It's going to this already rich studio execs and shit 948 00:53:34,680 --> 00:53:35,000 Speaker 4: like that. 949 00:53:35,239 --> 00:53:40,080 Speaker 2: Yeah, but yeah, I mean the there's a good article 950 00:53:40,080 --> 00:53:44,040 Speaker 2: on Harper's about this. Author basically argues that some kind 951 00:53:44,040 --> 00:53:47,000 Speaker 2: of radical intervention, either from the government or the workers, 952 00:53:47,040 --> 00:53:50,280 Speaker 2: will be necessary to fix the problem. But I think everybody, 953 00:53:50,280 --> 00:53:53,320 Speaker 2: you know, everybody just lived through a really scary and 954 00:53:53,360 --> 00:53:57,040 Speaker 2: difficult strike and now it's like worse than it's ever been. 955 00:53:57,200 --> 00:53:59,279 Speaker 2: Daniel Bessner is the name of the person who were 956 00:53:59,320 --> 00:54:03,320 Speaker 2: at the Harper article. So yeah, but that's like I think, 957 00:54:03,680 --> 00:54:07,319 Speaker 2: I don't think people are quite aware of what's going 958 00:54:07,320 --> 00:54:10,360 Speaker 2: on outside of Hollywood, but like inside of Hollywood, it's like, no, 959 00:54:10,360 --> 00:54:13,279 Speaker 2: no new ideas are being like they're not even like 960 00:54:13,400 --> 00:54:16,920 Speaker 2: responding to pitches anymore. They're just like that. Yeah. We 961 00:54:17,440 --> 00:54:21,120 Speaker 2: there are a handful of massive companies and they have 962 00:54:21,320 --> 00:54:26,000 Speaker 2: absolutely no appetite for risk a kaa like creativity or art. 963 00:54:26,360 --> 00:54:28,680 Speaker 1: Whatever you do, do not let this episode get back 964 00:54:28,719 --> 00:54:32,120 Speaker 1: to my parents. Do not let them know that we're 965 00:54:32,160 --> 00:54:38,279 Speaker 1: doing fine health insurance. We're going to bu house any 966 00:54:38,360 --> 00:54:39,040 Speaker 1: day now. 967 00:54:39,360 --> 00:54:43,640 Speaker 2: That's right. Yeah, Well, Caitlin, what a pleasure having you 968 00:54:43,680 --> 00:54:45,640 Speaker 2: as always. 969 00:54:45,920 --> 00:54:46,719 Speaker 4: Thank you so much. 970 00:54:47,160 --> 00:54:50,200 Speaker 2: Where can people find you? Follow you all that good stuff? 971 00:54:50,960 --> 00:54:56,240 Speaker 4: You can follow me on Instagram, I guess. Actually please 972 00:54:56,960 --> 00:55:02,440 Speaker 4: follow me because it makes me seem like a legitimate comedian, 973 00:55:03,080 --> 00:55:06,520 Speaker 4: which I am, and I'm trying to do more stand 974 00:55:06,600 --> 00:55:07,799 Speaker 4: up So if you want to book me on your 975 00:55:07,880 --> 00:55:12,440 Speaker 4: stand up show, you can do that. Please, let's do that. 976 00:55:13,560 --> 00:55:17,160 Speaker 4: You can listen to my podcast, The Bechdel Cast, where 977 00:55:17,200 --> 00:55:21,000 Speaker 4: we examine movies through an intersexual feminist lens. A little 978 00:55:21,080 --> 00:55:24,359 Speaker 4: plug I'd like to plug is Jamie and I are 979 00:55:24,880 --> 00:55:29,000 Speaker 4: presenting a screening of the movie Chicken Run Wow in 980 00:55:29,920 --> 00:55:36,799 Speaker 4: Los Angeles, the place that is actually awesome, even all 981 00:55:36,840 --> 00:55:39,360 Speaker 4: over it for most of the episode. No, I actually 982 00:55:39,400 --> 00:55:42,120 Speaker 4: really like living in LA and that's the truth. And 983 00:55:42,160 --> 00:55:46,400 Speaker 4: we're doing this screening of Chicken Run a great flim 984 00:55:46,840 --> 00:55:50,319 Speaker 4: as a part of American Cinema Techs Friend of the 985 00:55:50,360 --> 00:55:54,600 Speaker 4: Fest podcast festival, where they have podcasters present one of 986 00:55:54,600 --> 00:55:57,359 Speaker 4: their favorite movies. So Jamie and I are dressing up 987 00:55:57,400 --> 00:56:04,920 Speaker 4: like chickens and this movie on August A Studio execs. 988 00:56:05,000 --> 00:56:08,279 Speaker 2: Yeah, I love it. 989 00:56:08,719 --> 00:56:13,920 Speaker 4: But come out to the Lowsphilas three on August twenty 990 00:56:14,080 --> 00:56:18,680 Speaker 4: fifth at four o'clock for this screening of Trick and Run. 991 00:56:19,080 --> 00:56:21,719 Speaker 4: Trick and Run, Yeah, it's like trick or treat, but 992 00:56:22,520 --> 00:56:25,560 Speaker 4: you run afterwards after you've tricked the person. 993 00:56:25,560 --> 00:56:27,560 Speaker 2: That's right full them big time. 994 00:56:29,200 --> 00:56:32,560 Speaker 4: Chick and Run tickets are if you go to link 995 00:56:32,600 --> 00:56:35,799 Speaker 4: tree slash Bechtel Cast. You can find them there or 996 00:56:35,840 --> 00:56:38,840 Speaker 4: on the American Cinema Tech website. I'm also gonna plug 997 00:56:39,040 --> 00:56:42,640 Speaker 4: once again my screenwriting classes. Again. I would never mention 998 00:56:42,760 --> 00:56:48,480 Speaker 4: my master's degree in screenwriting never, but I do teach screen, 999 00:56:48,560 --> 00:56:52,200 Speaker 4: I would mention my classes. I have an intro class 1000 00:56:52,280 --> 00:56:58,480 Speaker 4: and a workshopping class that I teach, So check those out. 1001 00:56:58,719 --> 00:57:00,359 Speaker 2: You can go where you can find out more about 1002 00:57:00,400 --> 00:57:06,480 Speaker 2: your master's degree. Yes, I actually just monologue three hours 1003 00:57:06,480 --> 00:57:09,200 Speaker 2: at a time about my master's degree. That's right. 1004 00:57:09,560 --> 00:57:12,960 Speaker 1: Yeah. And also when the when the entertainment industry comes back, 1005 00:57:13,000 --> 00:57:16,080 Speaker 1: you want to be prepared. Okay, They're gonna eventually take 1006 00:57:16,080 --> 00:57:18,160 Speaker 1: new pitches, and you want to be the first pitch 1007 00:57:18,160 --> 00:57:18,600 Speaker 1: in line. 1008 00:57:18,840 --> 00:57:22,080 Speaker 4: Okay, you want to be the not going to get 1009 00:57:22,120 --> 00:57:25,040 Speaker 4: paid for all the labor that you do, and you 1010 00:57:25,080 --> 00:57:27,600 Speaker 4: can learn to do that by taking my class. So 1011 00:57:27,880 --> 00:57:32,480 Speaker 4: go to Caitlin Durante dot com slash classes for all 1012 00:57:32,520 --> 00:57:37,080 Speaker 4: of that information. And uh, yeah, a piece of media 1013 00:57:37,120 --> 00:57:37,880 Speaker 4: I've been enjoying. 1014 00:57:38,360 --> 00:57:46,960 Speaker 2: Hey, is there a piece of media you've been enjoying, Hey, caitlinjoying. 1015 00:57:44,680 --> 00:57:49,400 Speaker 4: Well, for all the gang out there who are cat 1016 00:57:49,560 --> 00:57:54,840 Speaker 4: quest heads, cat Quest three is a video game. Okay, 1017 00:57:55,280 --> 00:57:59,440 Speaker 4: Uh cat Quest three dropped recently and I've been playing 1018 00:57:59,480 --> 00:58:02,160 Speaker 4: it and I've been enjoying it. So that's my answer. 1019 00:58:02,640 --> 00:58:05,040 Speaker 2: There you go, that is a piece of media you've 1020 00:58:05,080 --> 00:58:05,640 Speaker 2: been enjoying. 1021 00:58:06,040 --> 00:58:07,280 Speaker 4: So true, so true. 1022 00:58:07,600 --> 00:58:10,840 Speaker 2: By the way some spec scripts. These are the sorts 1023 00:58:10,840 --> 00:58:13,720 Speaker 2: of movies that we wouldn't have. You got your Thelma 1024 00:58:13,840 --> 00:58:19,160 Speaker 2: and Louise Goodwill Hunting American Beauty, the sixth sense, massive 1025 00:58:19,880 --> 00:58:25,320 Speaker 2: movies that north by Northwest Like a lot of the 1026 00:58:25,360 --> 00:58:28,600 Speaker 2: greatest movies of all time were movies that were not 1027 00:58:28,840 --> 00:58:30,760 Speaker 2: based on IP. I don't know why I need to 1028 00:58:30,760 --> 00:58:35,320 Speaker 2: give examples of that. A lot of good movies not 1029 00:58:35,360 --> 00:58:38,080 Speaker 2: based on IP out there, folks. I will be reading 1030 00:58:38,160 --> 00:58:42,240 Speaker 2: a three thousand movie long list about that later. Amazing. 1031 00:58:42,600 --> 00:58:45,800 Speaker 2: Paula Be, thank you so much for co hosting. Where 1032 00:58:45,800 --> 00:58:48,800 Speaker 2: can people find you as their workimedia you've been enjoying. 1033 00:58:50,080 --> 00:58:52,920 Speaker 1: I am at Paulivian Alan p A L l A 1034 00:58:53,040 --> 00:58:55,840 Speaker 1: v I g U n A l A N I 1035 00:58:55,880 --> 00:58:59,280 Speaker 1: am everywhere. I'm inside your walls like the moment, everywhere. 1036 00:59:00,480 --> 00:59:04,280 Speaker 1: I run a stand up show at the comedy store. 1037 00:59:04,400 --> 00:59:07,560 Speaker 1: August twentieth is our next show, and then the show 1038 00:59:07,560 --> 00:59:11,640 Speaker 1: after that is September twentieth. It's facial recognition comedy. You 1039 00:59:11,640 --> 00:59:14,800 Speaker 1: can follow our Instagram to find out more about that. Okay, 1040 00:59:15,400 --> 00:59:18,600 Speaker 1: I'm gonna do one. That's my own tweet because I 1041 00:59:18,640 --> 00:59:22,160 Speaker 1: am obsessed with what this is. But then also I'll 1042 00:59:22,160 --> 00:59:25,240 Speaker 1: do a different one. But have you guys seen the 1043 00:59:26,640 --> 00:59:30,760 Speaker 1: Have you seen the Andrew Garfield Florence Peugh picture of 1044 00:59:30,800 --> 00:59:34,920 Speaker 1: their promo of their new movie in John Crowley's We 1045 00:59:34,960 --> 00:59:38,000 Speaker 1: Live in Time, And they're like on a carousel and 1046 00:59:38,080 --> 00:59:42,320 Speaker 1: Florence Pugh is like holding on to the pole on 1047 00:59:42,400 --> 00:59:45,360 Speaker 1: the carousel, and then Andrew Garfield has his head nuzzled 1048 00:59:45,400 --> 00:59:48,320 Speaker 1: into her. And then there's a really fucked up horse. 1049 00:59:50,080 --> 00:59:54,400 Speaker 1: It's part of the carousel and it's dumbest base. So 1050 00:59:54,440 --> 00:59:57,720 Speaker 1: it's supposed to be this romantic moment, but it just looks. 1051 00:59:57,800 --> 01:00:00,680 Speaker 1: I posted like I'm dying a this horse. But then 1052 01:00:00,680 --> 01:00:02,640 Speaker 1: I'm also like, this is me third wheeling my couple 1053 01:00:02,760 --> 01:00:06,800 Speaker 1: friends because I can't. I cannot stop looking at this poster. 1054 01:00:07,080 --> 01:00:11,640 Speaker 1: It's just it's bringing the Internet together. I just thought 1055 01:00:11,720 --> 01:00:19,560 Speaker 1: in the most fucked up way, Hey guys out It's 1056 01:00:19,600 --> 01:00:22,840 Speaker 1: like and I'm also here and everybody's like this this 1057 01:00:22,960 --> 01:00:30,800 Speaker 1: horse is British coated, like I'm just Strollberry. It's just 1058 01:00:30,880 --> 01:00:36,040 Speaker 1: like the most wholesome, innocuous, stupid thing. And then I'm 1059 01:00:36,040 --> 01:00:36,840 Speaker 1: gonna send this some. 1060 01:00:37,480 --> 01:00:39,280 Speaker 2: Horror film about. 1061 01:00:41,080 --> 01:00:41,520 Speaker 1: No idea. 1062 01:00:41,920 --> 01:00:45,800 Speaker 4: No, but I I'll write that on spec. 1063 01:00:45,680 --> 01:00:48,280 Speaker 2: Unbelievable that they were just like, yeah, I don't see 1064 01:00:48,280 --> 01:00:50,400 Speaker 2: anything weird about this at all. Let's get it. Let's 1065 01:00:50,400 --> 01:00:53,320 Speaker 2: get it out to the people. The internet thinks. 1066 01:00:53,200 --> 01:00:56,280 Speaker 1: It's so funny. It's some I feel like they almost 1067 01:00:56,320 --> 01:00:58,840 Speaker 1: did it on purpose. And then I saw this clip 1068 01:00:58,920 --> 01:01:03,960 Speaker 1: of Quinta Brunson being interviewed with the cast of Avid 1069 01:01:04,000 --> 01:01:06,360 Speaker 1: Elementary and I just sent it in the chat. But 1070 01:01:07,120 --> 01:01:10,200 Speaker 1: she had to wear heels and she for some of 1071 01:01:10,200 --> 01:01:12,400 Speaker 1: the episodes, and she was talking about how difficult it 1072 01:01:12,520 --> 01:01:14,800 Speaker 1: was and how Janelle James always has to wear heels, 1073 01:01:14,800 --> 01:01:17,720 Speaker 1: and she got so she was had this newfound respect 1074 01:01:17,760 --> 01:01:20,080 Speaker 1: for Janelle James for having to do that on set 1075 01:01:20,080 --> 01:01:22,280 Speaker 1: all day. She got really tired and she took them 1076 01:01:22,320 --> 01:01:26,080 Speaker 1: off and changed into Quinta took them off and like 1077 01:01:26,200 --> 01:01:29,240 Speaker 1: changed into you know, regular shoes because she her feet 1078 01:01:29,240 --> 01:01:31,560 Speaker 1: were so tired. And Janelle James just turned to her 1079 01:01:31,600 --> 01:01:36,919 Speaker 1: and went, she ain't no DVA. And I just love 1080 01:01:36,960 --> 01:01:39,560 Speaker 1: that whole cast. I just they're the best. 1081 01:01:40,000 --> 01:01:43,480 Speaker 2: They're a blast. Yeah great, let's see. You can find 1082 01:01:43,520 --> 01:01:47,520 Speaker 2: me on Twitter at jack Underscore O'Brien a tweet I've 1083 01:01:47,520 --> 01:01:54,160 Speaker 2: been enjoying at Jackie underscore, Sabage Sabba g h that 1084 01:01:54,240 --> 01:01:59,400 Speaker 2: can't be sabage. Saba Sabah asked the question is the 1085 01:01:59,480 --> 01:02:03,000 Speaker 2: music they play baseball games diegetic? Like can the players 1086 01:02:03,080 --> 01:02:05,640 Speaker 2: hear it in the world of the game, which would 1087 01:02:05,680 --> 01:02:07,640 Speaker 2: be a great question. I don't know the answer to. 1088 01:02:08,120 --> 01:02:11,240 Speaker 2: You can find us on Twitter at Daily Zeitgeist. We're 1089 01:02:11,280 --> 01:02:13,920 Speaker 2: at d daily Zeitgeist on Instagram. We have a Facebook 1090 01:02:13,960 --> 01:02:16,800 Speaker 2: fan page and a website, Daily zeitgeist dot com where 1091 01:02:16,800 --> 01:02:20,360 Speaker 2: we post our episodes and our footnote, but where we 1092 01:02:20,360 --> 01:02:22,120 Speaker 2: link off to the information that we talked about in 1093 01:02:22,120 --> 01:02:24,440 Speaker 2: today's episode, as well as a song that we think 1094 01:02:24,480 --> 01:02:28,560 Speaker 2: you might enjoy. Super producer Justin Connor, is there a 1095 01:02:28,600 --> 01:02:31,840 Speaker 2: song that you think people might enjoy on this line 1096 01:02:32,240 --> 01:02:34,000 Speaker 2: Thursday Morning. Yeah. 1097 01:02:34,040 --> 01:02:36,520 Speaker 3: I love when a singer has the ability to flow 1098 01:02:36,800 --> 01:02:40,520 Speaker 3: like a rapper but can also stack gorgeous harmonies over 1099 01:02:40,560 --> 01:02:44,200 Speaker 3: their tracks. And this song goes even farther by having 1100 01:02:44,320 --> 01:02:47,440 Speaker 3: like these string arrangements and smooth guitars straight out of 1101 01:02:47,440 --> 01:02:49,960 Speaker 3: a classic Bond film. It all comes together in this 1102 01:02:50,080 --> 01:02:53,919 Speaker 3: amazing song from this London based artist named any That's 1103 01:02:54,120 --> 01:02:57,160 Speaker 3: E and Why And the song is called charge It 1104 01:02:57,400 --> 01:02:59,360 Speaker 3: And you can find that song in the footnotes. 1105 01:02:59,840 --> 01:03:02,640 Speaker 2: No Botz. The Daily Zeitgeis is the production of iHeartRadio. 1106 01:03:02,680 --> 01:03:06,200 Speaker 2: For more podcasts from iHeartRadio, visit the iHeartRadio app, Apple podcast, 1107 01:03:06,280 --> 01:03:08,280 Speaker 2: or wherever you listen to your favorite shows. That's going 1108 01:03:08,360 --> 01:03:10,480 Speaker 2: to do it for us this morning. We are back 1109 01:03:10,520 --> 01:03:13,160 Speaker 2: this afternoon to tell you what is trending and we 1110 01:03:13,200 --> 01:03:15,479 Speaker 2: will talk to you all then. Bye bye bye