1 00:00:00,640 --> 00:00:04,880 Speaker 1: Hello the Internet, and welcome to Susan Susan to sixty three, 2 00:00:05,000 --> 00:00:10,239 Speaker 1: Episode one of Like Guys, It's a Mess Already. It's 3 00:00:10,280 --> 00:00:13,239 Speaker 1: also a production of I Heart Radio. This is a 4 00:00:13,280 --> 00:00:16,759 Speaker 1: podcast where we take a deep dive into Susan's shared 5 00:00:16,920 --> 00:00:20,360 Speaker 1: consciousness with the rest of America. We all, we all 6 00:00:20,400 --> 00:00:23,799 Speaker 1: share consciousness, don't we. Fun. Yeah, it is Monday, November 7 00:00:23,840 --> 00:00:31,520 Speaker 1: four two, will now fourteen. National seat Belt Day. Shout 8 00:00:31,520 --> 00:00:35,559 Speaker 1: out to Ralph Nader uh, National Family p J Day, 9 00:00:35,720 --> 00:00:41,960 Speaker 1: World Diabetes Day, National Spicy Guacamole Day, National Pickle Day. 10 00:00:41,960 --> 00:00:44,680 Speaker 1: Make that Insulin free, y'all? What the funk was that? 11 00:00:45,080 --> 00:00:47,680 Speaker 1: Did you see that? Eli Lily tweet that they are 12 00:00:47,800 --> 00:00:51,400 Speaker 1: on Twitter somebody made a verified of faith and they're like, 13 00:00:51,800 --> 00:00:55,880 Speaker 1: we realize, like, yeah, from this point forward, insulin will 14 00:00:55,920 --> 00:00:59,840 Speaker 1: be free of charge. And then like they're stocked, like 15 00:01:00,080 --> 00:01:02,560 Speaker 1: went down a couple of percent, like on the heels 16 00:01:02,600 --> 00:01:05,679 Speaker 1: of that. Not nothing. Oh yeah, but it definitely shifted 17 00:01:05,680 --> 00:01:09,000 Speaker 1: their stock price. It seemed like the stock market is evil. 18 00:01:09,560 --> 00:01:13,000 Speaker 1: We didn't seeing that when when Meta like fired half 19 00:01:13,080 --> 00:01:16,800 Speaker 1: their staff. They were like it's shot through the roof 20 00:01:17,160 --> 00:01:20,479 Speaker 1: their stock price, you know. Yeah, but anyway, yeah, make 21 00:01:20,560 --> 00:01:25,840 Speaker 1: exlent free, all the free. What was the pickled day? 22 00:01:25,880 --> 00:01:30,360 Speaker 1: What was the spicy whack a mole? Seatbelt? Seat belt 23 00:01:31,040 --> 00:01:32,760 Speaker 1: shout out to the seatbolt. I feel I feel like 24 00:01:32,840 --> 00:01:37,080 Speaker 1: that's uh one of those underrated changes that happened in 25 00:01:37,120 --> 00:01:40,039 Speaker 1: the last hundred years. Like we just used to be 26 00:01:40,120 --> 00:01:45,040 Speaker 1: like riding loose, like bouncing around in the car, and 27 00:01:45,680 --> 00:01:48,920 Speaker 1: you know, a lot lots it was lots alive. It 28 00:01:48,920 --> 00:01:54,320 Speaker 1: was unsafe at any speed, y'all. Yet Anyways, my name's 29 00:01:54,360 --> 00:01:58,640 Speaker 1: Jack O'Brien. A k os cries because he won't be 30 00:01:58,840 --> 00:02:05,800 Speaker 1: moving and can't beat John Fetterman. He dreams of power, 31 00:02:06,040 --> 00:02:12,080 Speaker 1: he dreamed and read can't beat John fetter Man. That 32 00:02:12,240 --> 00:02:18,560 Speaker 1: is courtesy of Gerald Wright, Jerry Rice, good old Jerry. Yeah, 33 00:02:18,680 --> 00:02:21,560 Speaker 1: I was, I was not confident. I woke up with 34 00:02:21,960 --> 00:02:25,480 Speaker 1: Poland in my head by little Yadi, and I haven't 35 00:02:25,520 --> 00:02:27,799 Speaker 1: been able to get it out. So I took all 36 00:02:27,880 --> 00:02:32,000 Speaker 1: all of my willpower to not saying that in the 37 00:02:32,000 --> 00:02:36,600 Speaker 1: the Poland to the tune of Poland. Anyways, I'm thrilled 38 00:02:36,639 --> 00:02:39,040 Speaker 1: to be joined as always by my co host Mr 39 00:02:39,160 --> 00:02:42,680 Speaker 1: Miles Miles Gray. Guess who can figure out how to 40 00:02:42,760 --> 00:02:44,880 Speaker 1: use Poland in the a K. I might as well 41 00:02:44,960 --> 00:02:55,880 Speaker 1: be the Republicans because I took a lot. Okay, anyway, 42 00:02:55,919 --> 00:02:59,400 Speaker 1: shout out figured that out right at the death I 43 00:02:59,480 --> 00:03:04,200 Speaker 1: was like, wait where instrumental? Lord, it's hard to really 44 00:03:04,200 --> 00:03:07,560 Speaker 1: get in that. Get in your voice. Change yeah, voice, 45 00:03:07,880 --> 00:03:11,359 Speaker 1: change your voice whatever. Anyway, Yeah, get that register. Hit 46 00:03:11,440 --> 00:03:13,519 Speaker 1: it to be here, miles weird for it to be 47 00:03:13,639 --> 00:03:16,639 Speaker 1: joined in our third seat by a very funny stand 48 00:03:16,720 --> 00:03:20,080 Speaker 1: up comedian, writer poet who you know from such places 49 00:03:20,120 --> 00:03:23,560 Speaker 1: as TV, the Harvard Review, and her amazing podcast In 50 00:03:23,600 --> 00:03:27,640 Speaker 1: Your Hands. It's one of their new favorite guests on 51 00:03:27,680 --> 00:03:31,320 Speaker 1: this show. It is the hilarious and talented Lizzie Cooper 52 00:03:31,360 --> 00:03:35,960 Speaker 1: Mad Oh my god, I lost my voice. Just say 53 00:03:36,000 --> 00:03:41,000 Speaker 1: in your name, thank you, thank you, welcome back, welcome back, 54 00:03:41,040 --> 00:03:44,760 Speaker 1: thank you. It's nothing short of a thrill to be here. 55 00:03:45,360 --> 00:03:49,440 Speaker 1: Oh wow, you honor us with such a description. What 56 00:03:49,440 --> 00:03:52,360 Speaker 1: what sort of adventures have have your listeners been taking 57 00:03:52,360 --> 00:03:56,240 Speaker 1: you on? Oh my god, it's it has been truly wild. 58 00:03:56,320 --> 00:03:58,320 Speaker 1: I'm trying to even think of where we left off. 59 00:03:58,480 --> 00:04:00,320 Speaker 1: I was supposed to take the first job job that 60 00:04:00,400 --> 00:04:05,600 Speaker 1: I got on Craigslist gigs section. I applied to be 61 00:04:05,640 --> 00:04:08,920 Speaker 1: a hair model. I have very long hair, and I said, 62 00:04:08,960 --> 00:04:12,600 Speaker 1: I'll be a hair model for this fledgling beautition or 63 00:04:13,240 --> 00:04:18,000 Speaker 1: Styla's who wants to try you know, the pixie cut. Oh, 64 00:04:18,080 --> 00:04:20,520 Speaker 1: oh my god, you were about to let this person 65 00:04:20,560 --> 00:04:23,359 Speaker 1: hit you with the pixie if they responded first, I 66 00:04:23,440 --> 00:04:30,919 Speaker 1: was gonna, wow, Lizzy. I applied to work as a 67 00:04:30,960 --> 00:04:35,880 Speaker 1: Halloween performer on someone's front lawn. They specified you had 68 00:04:35,920 --> 00:04:38,440 Speaker 1: to be fun spooky, so I was trying to figure 69 00:04:38,440 --> 00:04:41,400 Speaker 1: out where is the line. Yeah, because they're not just 70 00:04:41,480 --> 00:04:44,160 Speaker 1: like disturbing spook, right, Just don't go up to people 71 00:04:44,160 --> 00:04:48,279 Speaker 1: and be like I killed your brother. That's regular spooky. Yeah, 72 00:04:48,400 --> 00:04:50,320 Speaker 1: going up to a little kid like Earth won't be 73 00:04:50,480 --> 00:04:56,599 Speaker 1: here when you're my age, please please don't what not 74 00:04:56,800 --> 00:05:04,040 Speaker 1: telling the truth to exactly like the adult Greta Thunberg. Yeah, 75 00:05:04,160 --> 00:05:07,360 Speaker 1: there is a There was a street or a house 76 00:05:07,520 --> 00:05:10,440 Speaker 1: off the street from me that did a climate based 77 00:05:11,000 --> 00:05:16,000 Speaker 1: Halloween themed like decoration, which I was like, yeah, hell yeah. 78 00:05:16,240 --> 00:05:18,840 Speaker 1: And then they also had a Rick Carusoe yard sign. 79 00:05:19,240 --> 00:05:24,359 Speaker 1: Rick Cruso, the billionaire mall magnate who's supposed to, uh, 80 00:05:24,560 --> 00:05:27,120 Speaker 1: you know, solve all of l A's problems. We still 81 00:05:27,160 --> 00:05:29,680 Speaker 1: don't have the results that he's making it snow at 82 00:05:29,720 --> 00:05:36,840 Speaker 1: the grove right about climate Yea, all right, Lizzie, we're 83 00:05:36,839 --> 00:05:38,160 Speaker 1: gonna get to know you a little bit better in 84 00:05:38,200 --> 00:05:39,960 Speaker 1: a moment. First, we're gonna tell our listeners a couple 85 00:05:40,000 --> 00:05:44,080 Speaker 1: of things we're talking about today. Knives out for Trump, 86 00:05:45,120 --> 00:05:48,720 Speaker 1: it's the people people are met, you know, it's they 87 00:05:48,800 --> 00:05:52,080 Speaker 1: don't realize it's too late for them. It's that he's 88 00:05:52,120 --> 00:05:56,520 Speaker 1: already he's already infected the Republican Party there, they can't 89 00:05:56,520 --> 00:05:59,159 Speaker 1: back off. Like he's still beating De Santa's by like 90 00:05:59,320 --> 00:06:02,080 Speaker 1: thirty points. It's in a head to head pull for 91 00:06:02,160 --> 00:06:06,520 Speaker 1: the president presidential election. So we're just gonna sit back 92 00:06:06,520 --> 00:06:10,000 Speaker 1: and look at that and e popcorn because he's he's 93 00:06:10,760 --> 00:06:14,360 Speaker 1: mad at run de Santis. So we'll look at that. 94 00:06:14,600 --> 00:06:17,760 Speaker 1: We'll look at how the election is being covered in 95 00:06:17,800 --> 00:06:22,599 Speaker 1: the mainstream media versus you know, a non mainstream paper 96 00:06:22,720 --> 00:06:27,640 Speaker 1: like Jacobin, and you know, there's some very clear learnings 97 00:06:28,120 --> 00:06:32,159 Speaker 1: from the election, and the New York Times ain't ain't 98 00:06:32,160 --> 00:06:35,160 Speaker 1: picking them up. So we'll talk about that. And of course, 99 00:06:35,839 --> 00:06:39,280 Speaker 1: Lindsay Lohan has a Christmas movie coming out, so we're 100 00:06:39,279 --> 00:06:42,080 Speaker 1: going to talk about that because thank God I need. 101 00:06:42,120 --> 00:06:44,240 Speaker 1: I'm I'm ready for Christmas movies. I don't give a 102 00:06:44,240 --> 00:06:47,640 Speaker 1: fun Christmas. Thanksgiving hasn't come yet. I already watched one 103 00:06:47,640 --> 00:06:51,640 Speaker 1: on Hallmark last week. Really, yeah, which one did you see? 104 00:06:51,839 --> 00:06:55,640 Speaker 1: It was one that had what's her name Carla Gugino? 105 00:06:55,880 --> 00:06:59,680 Speaker 1: What's her name? Yeah, Carla Gugino. It was in like, 106 00:07:00,680 --> 00:07:03,080 Speaker 1: what's the other one from Big Little Lies? Laura Dern. 107 00:07:03,320 --> 00:07:06,320 Speaker 1: It was like it was one from like sixteen years ago? 108 00:07:06,400 --> 00:07:08,680 Speaker 1: This the castle was fucking stacked. I was like, yo, 109 00:07:08,680 --> 00:07:11,679 Speaker 1: I'm gonna check this out. It was actually not bad. 110 00:07:12,160 --> 00:07:15,760 Speaker 1: I'm sorry Laura Dern is the other one from Big 111 00:07:15,800 --> 00:07:21,080 Speaker 1: Little Lies? To you, sir? I mean you know I said, 112 00:07:21,240 --> 00:07:24,000 Speaker 1: maybe I meant one of them, but yes, the I 113 00:07:24,040 --> 00:07:26,080 Speaker 1: think the other one because I know I could say 114 00:07:26,080 --> 00:07:29,680 Speaker 1: Reese Witherspoon first, and I think that's what's where I went. Whatever, 115 00:07:29,720 --> 00:07:32,520 Speaker 1: I don't care. You could come at me. But guess what, 116 00:07:32,920 --> 00:07:37,200 Speaker 1: Laura Dern, We're good one of our greatest. Yeah. Yeah, 117 00:07:37,800 --> 00:07:40,000 Speaker 1: but that's what's wild is like in this Christmas movie, 118 00:07:40,040 --> 00:07:42,600 Speaker 1: Like Laura Dern is like playing this like mother who 119 00:07:42,600 --> 00:07:45,320 Speaker 1: like can't get her act together, and like Carla Gugino 120 00:07:45,360 --> 00:07:47,200 Speaker 1: is having to take care of her child. Like there's 121 00:07:47,200 --> 00:07:50,080 Speaker 1: like these like really heavy acting scenes, like like Laura 122 00:07:50,120 --> 00:07:54,040 Speaker 1: Dern at this hospital, You're like, yo, Homemark. I was 123 00:07:54,560 --> 00:07:58,360 Speaker 1: just like during a Hameark movie, I don't know this 124 00:07:58,440 --> 00:08:02,240 Speaker 1: was was called Season for Miracles. Oh, I thought you 125 00:08:02,240 --> 00:08:04,680 Speaker 1: said it was six years ago. Now I said something 126 00:08:04,720 --> 00:08:12,000 Speaker 1: like sixteen years ago or so. And this is just 127 00:08:12,200 --> 00:08:14,160 Speaker 1: you can watch this and point out the scene to 128 00:08:14,280 --> 00:08:20,360 Speaker 1: see inconsistencies in this film. It's it's beyond Starbucks cupping 129 00:08:20,360 --> 00:08:25,280 Speaker 1: Game of Thrones. What happens in this Christmas movie? Well, 130 00:08:25,320 --> 00:08:27,680 Speaker 1: the title has changed, and I think they were probably like, 131 00:08:27,720 --> 00:08:33,439 Speaker 1: look things changed the title from one scene to the next. 132 00:08:34,160 --> 00:08:37,440 Speaker 1: It was called Married by Christmas, and then they were like, okay, 133 00:08:37,679 --> 00:08:40,760 Speaker 1: something's you know, people aren't drawn to this title, so 134 00:08:40,800 --> 00:08:46,240 Speaker 1: they changed it to the engagement clause the engagement and 135 00:08:46,280 --> 00:08:48,520 Speaker 1: it really bothers. Makes I feel like that's a thing 136 00:08:48,760 --> 00:08:58,160 Speaker 1: where when people screenwriters were like, oh, clause right to 137 00:08:58,320 --> 00:09:01,480 Speaker 1: play on the word of a play on words in 138 00:09:01,520 --> 00:09:06,920 Speaker 1: another movie title. Yes, exactly. But I recommend watching this 139 00:09:07,160 --> 00:09:09,760 Speaker 1: because it looks like there was some kind of art 140 00:09:09,800 --> 00:09:14,600 Speaker 1: department emergency in the film, because the protagonist is supposed 141 00:09:14,600 --> 00:09:17,520 Speaker 1: to work for like some vague food company, and her 142 00:09:17,600 --> 00:09:20,439 Speaker 1: office looks like a blank room with like a photograph 143 00:09:20,600 --> 00:09:29,120 Speaker 1: of a piece of broccoli behind her. Like it's so, 144 00:09:29,200 --> 00:09:33,640 Speaker 1: that's amazing again made by mar Vista. Mar Vista makes 145 00:09:33,720 --> 00:09:39,120 Speaker 1: all of the fucking like goaded terrible holiday films. That's 146 00:09:39,200 --> 00:09:40,920 Speaker 1: usually like I always have to check them. Oh it's 147 00:09:40,920 --> 00:09:43,079 Speaker 1: a mar Vista hit. Okay, it's like the death Row 148 00:09:43,240 --> 00:09:47,439 Speaker 1: records of Christmas movies. Wow, yeah, Miles is a connoisseur. 149 00:09:47,520 --> 00:09:49,960 Speaker 1: I don't know if you know. I pitched them a 150 00:09:50,000 --> 00:09:54,160 Speaker 1: fucking movie and they didn't. The biggest mistake they ever made, 151 00:09:54,480 --> 00:09:57,439 Speaker 1: they were it. Yeah, all right, before we get to 152 00:09:57,480 --> 00:09:59,400 Speaker 1: any of that ship, Lizzie, we like task our guest, 153 00:09:59,480 --> 00:10:03,079 Speaker 1: what is thing from your search history? Okay, so I'm 154 00:10:03,080 --> 00:10:06,040 Speaker 1: on an old computer today because my computer crashed. It's 155 00:10:06,080 --> 00:10:09,000 Speaker 1: coming back today from Apple. It's coming back from the 156 00:10:09,080 --> 00:10:12,319 Speaker 1: dead to the last search on this computer I'm using, 157 00:10:12,400 --> 00:10:16,640 Speaker 1: which is the equivalent of maybe a calculator from two. 158 00:10:17,720 --> 00:10:21,600 Speaker 1: This is an a sous Chrome book where the button 159 00:10:21,720 --> 00:10:25,120 Speaker 1: requires you know, every button requires kind of brute force 160 00:10:25,160 --> 00:10:29,480 Speaker 1: on this computer. The last search here was Cathy Smith 161 00:10:29,720 --> 00:10:33,240 Speaker 1: meet and greet and that was actually something for my 162 00:10:33,280 --> 00:10:35,600 Speaker 1: podcast where I was going to use this as an 163 00:10:35,600 --> 00:10:37,880 Speaker 1: option because they've they've been voting what I do with 164 00:10:37,920 --> 00:10:41,160 Speaker 1: my life every week through crowdsourcing my life. Kathy Smith 165 00:10:41,240 --> 00:10:45,559 Speaker 1: is a woman who conducts casting quote unquote meeting greets 166 00:10:45,600 --> 00:10:51,480 Speaker 1: at the Scientology Center every week. Um, meet and greed 167 00:10:51,600 --> 00:10:57,200 Speaker 1: is casting casting? Yes, so it's like an casting or 168 00:10:57,280 --> 00:11:03,000 Speaker 1: like acting showcase or shop that happens at the Scientology 169 00:11:03,200 --> 00:11:09,000 Speaker 1: Celebrity Center. Interesting. Yeah, that's where they take your money 170 00:11:09,040 --> 00:11:12,760 Speaker 1: then throw your headshot into a recycling band, right, or 171 00:11:12,800 --> 00:11:14,240 Speaker 1: I mean and then get you on your way to 172 00:11:14,440 --> 00:11:17,680 Speaker 1: spending money with them. Huh, exactly exactly. They're probably like, 173 00:11:17,720 --> 00:11:22,160 Speaker 1: you're just not confident enough. Hold onto these cans. We'll 174 00:11:22,160 --> 00:11:25,400 Speaker 1: see what we can tell you about you. Now, tell 175 00:11:25,480 --> 00:11:29,280 Speaker 1: us all your darkest secrets, every single one, like ship 176 00:11:29,440 --> 00:11:32,319 Speaker 1: you would never tell anybody want anyone to know. That's 177 00:11:32,320 --> 00:11:36,120 Speaker 1: how you get into Hollywood. Okay, right, right? I looked 178 00:11:36,120 --> 00:11:39,480 Speaker 1: you up on IMDb. There are several Kathy Smiths, which 179 00:11:40,000 --> 00:11:42,640 Speaker 1: I feel like before anyone gives birth, they need to look. 180 00:11:42,920 --> 00:11:45,439 Speaker 1: They need to go on IMDb and make sure because 181 00:11:45,480 --> 00:11:50,200 Speaker 1: Samuel L. Jackson actually didn't always go by Samuel L. Jackson. Right, 182 00:11:50,600 --> 00:11:52,760 Speaker 1: you had to add the alb was your Sam Jackson 183 00:11:52,840 --> 00:11:55,839 Speaker 1: at first? Yeah, I think, so, okay, that makes sense. 184 00:11:56,000 --> 00:12:02,600 Speaker 1: I thought he was like, no, he used to be Richard. Yeah, 185 00:12:02,679 --> 00:12:04,920 Speaker 1: do a quick se O check on your on your 186 00:12:04,920 --> 00:12:08,520 Speaker 1: baby name, you know. Also that I mean, if you 187 00:12:08,559 --> 00:12:12,080 Speaker 1: want to, you know, just make sure it's just tell 188 00:12:12,120 --> 00:12:13,439 Speaker 1: people it's the name. It's like, yeah, this is my 189 00:12:13,520 --> 00:12:17,760 Speaker 1: kid John Smith. Yeah. Yeah, yeah, that's the name. No, 190 00:12:18,080 --> 00:12:21,839 Speaker 1: but I'm not gonna tell you because secret. Yeah. Maybe 191 00:12:21,840 --> 00:12:26,120 Speaker 1: that's Scientology's whole strategy is like I mean, they're good 192 00:12:26,160 --> 00:12:30,640 Speaker 1: at getting things buried in search results. So maybe they're like, yeah, 193 00:12:30,720 --> 00:12:33,240 Speaker 1: maybe we don't want we don't we don't want Internet 194 00:12:33,400 --> 00:12:38,280 Speaker 1: sleuths like coming to coming to our like that. That 195 00:12:38,280 --> 00:12:42,520 Speaker 1: that would probably not be the best prospect for Scientology, right, 196 00:12:42,640 --> 00:12:45,280 Speaker 1: although you think that David miss Sabbage would maybe change 197 00:12:45,320 --> 00:12:47,640 Speaker 1: his name because that's a pretty unique name. Oh my god, 198 00:12:47,720 --> 00:12:52,559 Speaker 1: if you marry him, are you miss Cabbage? That's nothing 199 00:12:52,600 --> 00:12:55,320 Speaker 1: like his actual name. I just well. And then also 200 00:12:55,360 --> 00:12:57,320 Speaker 1: which is wild too, because they say, like his wife 201 00:12:57,320 --> 00:13:00,240 Speaker 1: has been disappeared by Scientology. If you marry him, you 202 00:13:00,280 --> 00:13:06,160 Speaker 1: go missing. Is actually yeah, that's right. Well, so this woman, 203 00:13:06,200 --> 00:13:10,439 Speaker 1: I guess supposedly discovered Mila Kunas that's in her bio, 204 00:13:10,880 --> 00:13:13,760 Speaker 1: But discovered can mean a lot of different things, right, 205 00:13:14,120 --> 00:13:16,560 Speaker 1: you just found out about her and he's a really 206 00:13:16,559 --> 00:13:21,520 Speaker 1: good actress that I dated. Somebody who was from Iowa 207 00:13:21,679 --> 00:13:25,640 Speaker 1: and her mom always claimed that she discovered Ashton Kutcher 208 00:13:26,200 --> 00:13:29,319 Speaker 1: in Iowa, and I was like, what does that mean? 209 00:13:29,440 --> 00:13:31,199 Speaker 1: And then it actually turns out her mom was like 210 00:13:31,240 --> 00:13:33,719 Speaker 1: running some kind of modeling agency and like pulled up 211 00:13:33,720 --> 00:13:35,560 Speaker 1: on him at a mom was like, fam, you could 212 00:13:35,640 --> 00:13:39,120 Speaker 1: model like yesterday And he's like really and then boom gone, 213 00:13:39,120 --> 00:13:42,160 Speaker 1: and she's like I did that. But there's also people 214 00:13:42,200 --> 00:13:44,559 Speaker 1: who are like I was the first person to realize 215 00:13:44,600 --> 00:13:47,160 Speaker 1: that person was good. I discovered them. It's like, well 216 00:13:47,920 --> 00:13:50,600 Speaker 1: that's that's a little bit of a tenuous claim. But okay, 217 00:13:50,840 --> 00:13:54,679 Speaker 1: when she discovered him, was he freelance punking people? Just no, 218 00:13:54,920 --> 00:13:57,400 Speaker 1: just cruising them all, just cruising them all? You know, 219 00:13:57,520 --> 00:14:00,280 Speaker 1: like honestly, like all those stories about like who were 220 00:14:00,280 --> 00:14:02,400 Speaker 1: like I was just walking through the malls and came 221 00:14:02,480 --> 00:14:05,439 Speaker 1: up to me, But this person wasn't like on some bullshit. 222 00:14:05,880 --> 00:14:07,720 Speaker 1: I used to do a joke about how when Biden 223 00:14:07,840 --> 00:14:10,319 Speaker 1: was looking for a vice president, all the articles made 224 00:14:10,360 --> 00:14:11,959 Speaker 1: it sound like he was scouting for them at a 225 00:14:12,000 --> 00:14:15,480 Speaker 1: shopping mall. It would be like the articles would be 226 00:14:15,520 --> 00:14:19,480 Speaker 1: like Stacy Abrams really caught his eye, you know, like 227 00:14:19,560 --> 00:14:21,440 Speaker 1: he locked up to her at a tzara and like, 228 00:14:22,960 --> 00:14:27,480 Speaker 1: excuse me, have you thought of a presidential Go home? 229 00:14:27,600 --> 00:14:31,720 Speaker 1: Talk to your mom if she and I've done this before. 230 00:14:31,760 --> 00:14:34,360 Speaker 1: I've been in the industry for decades. You can. You 231 00:14:34,360 --> 00:14:36,560 Speaker 1: can look my name up. I'm exactly who I say 232 00:14:36,560 --> 00:14:41,920 Speaker 1: I am. What's something you think is overraged? Okay, I 233 00:14:42,160 --> 00:14:45,360 Speaker 1: I have to I'm so thrilled to be finally talking 234 00:14:45,360 --> 00:14:48,640 Speaker 1: about this. I'm getting sick of people calling themselves a 235 00:14:48,680 --> 00:14:52,280 Speaker 1: monster and people go, I'm sorry, I'm such a monster. 236 00:14:52,760 --> 00:14:55,160 Speaker 1: I actually feel like it's really do you know what? 237 00:14:55,200 --> 00:14:57,480 Speaker 1: I like? I feel like it's actually bad for women 238 00:14:57,800 --> 00:15:02,280 Speaker 1: because at least in circles that I'm in. Sometimes, like 239 00:15:02,320 --> 00:15:04,800 Speaker 1: I'll go to someone's house and it'll be something that's 240 00:15:04,840 --> 00:15:09,320 Speaker 1: truly imperceptible, like maybe a dish towel on the counter. 241 00:15:10,000 --> 00:15:13,560 Speaker 1: I'm a monster, Like, oh I I forgot to shave 242 00:15:13,640 --> 00:15:18,560 Speaker 1: my legs for the barbecue. I'm a monster. And it 243 00:15:18,680 --> 00:15:21,920 Speaker 1: just it makes me feel like, what am I a 244 00:15:22,040 --> 00:15:26,960 Speaker 1: murderer like any of these things? So I feel like 245 00:15:26,960 --> 00:15:31,000 Speaker 1: it puts an expectation on everybody to have these I 246 00:15:31,040 --> 00:15:36,160 Speaker 1: don't know, priorities, like if your place looks any any 247 00:15:36,320 --> 00:15:42,040 Speaker 1: less impeccable than like a cbtwo catalog, it's it's unforgivable, yeah, right, 248 00:15:42,160 --> 00:15:44,960 Speaker 1: right right, Although I feel like when I hear it too, 249 00:15:45,160 --> 00:15:49,400 Speaker 1: like some of my like friends will use it very intentionally, 250 00:15:49,640 --> 00:15:51,920 Speaker 1: like just as like an offhanded thing and be like, 251 00:15:52,080 --> 00:15:55,160 Speaker 1: oh ship, like I forgot to get more like mustard 252 00:15:55,200 --> 00:15:57,640 Speaker 1: at the store, I'm a fucking monster, and I like, 253 00:15:57,680 --> 00:15:59,600 Speaker 1: ha ha ha. But I know you're talking about two 254 00:15:59,600 --> 00:16:04,000 Speaker 1: where people earnestly like apologizing like that's not a monstrous behavior, 255 00:16:04,160 --> 00:16:09,480 Speaker 1: but right you know, yeah, yeah, like not spraying the 256 00:16:09,480 --> 00:16:15,240 Speaker 1: pan with olive oil is not. It doesn't warrant that 257 00:16:15,480 --> 00:16:18,280 Speaker 1: to me, right right right now, that's just that's a 258 00:16:18,400 --> 00:16:22,960 Speaker 1: human error or allows in short term memory. When would 259 00:16:23,000 --> 00:16:25,480 Speaker 1: you is there a word you would swap because people 260 00:16:25,520 --> 00:16:29,600 Speaker 1: want to use that same sort of sequence of words 261 00:16:29,720 --> 00:16:38,800 Speaker 1: after would such I'm fucking useless, And when like the 262 00:16:38,880 --> 00:16:42,120 Speaker 1: sarcasm like bleeds into oh no, we're here in some 263 00:16:42,200 --> 00:16:45,000 Speaker 1: inner monologue, Right, I don't even want to be here anymore? 264 00:16:45,280 --> 00:16:48,880 Speaker 1: What that's really interesting? I feel like there should be 265 00:16:48,960 --> 00:16:52,720 Speaker 1: a replacement for that, definitely, But yeah, is it meant 266 00:16:52,760 --> 00:16:55,200 Speaker 1: to be like they you want to say monster because 267 00:16:55,200 --> 00:16:57,560 Speaker 1: it really isn't monster, But then you can also no, 268 00:16:57,680 --> 00:16:59,440 Speaker 1: it's like I would have done better at the end 269 00:16:59,440 --> 00:17:01,240 Speaker 1: of the day, I'm like, leave your fucking kitchen towels 270 00:17:01,280 --> 00:17:03,280 Speaker 1: or have you got to? Yes, I feel like that's 271 00:17:03,280 --> 00:17:04,840 Speaker 1: what it is is. I want people to just be 272 00:17:04,960 --> 00:17:09,119 Speaker 1: okay with the messy and not feel like wiping the 273 00:17:09,160 --> 00:17:12,680 Speaker 1: stove has to be number one. Yeah, well, I think 274 00:17:12,680 --> 00:17:14,600 Speaker 1: that it definitely reveals like how some people are, and 275 00:17:14,640 --> 00:17:16,680 Speaker 1: also reveals like then I'm very quick to reel it 276 00:17:16,720 --> 00:17:20,080 Speaker 1: and I'm like, oh man, you should see my kitchen, right, 277 00:17:21,000 --> 00:17:24,720 Speaker 1: you say, like, oh no, I'm worse. Yeah, actually I'm 278 00:17:24,800 --> 00:17:29,880 Speaker 1: the monster. Welcome. If I go to a front's house 279 00:17:29,880 --> 00:17:32,040 Speaker 1: and she says I killed my husband, I'll go, Okay, 280 00:17:32,600 --> 00:17:35,520 Speaker 1: you got it. Actually, let's find out why you killed 281 00:17:35,520 --> 00:17:40,040 Speaker 1: your husband, because oh, well, justified. Isn't that the same 282 00:17:40,080 --> 00:17:42,159 Speaker 1: thing I said where I was like I I applied 283 00:17:42,200 --> 00:17:48,080 Speaker 1: to be a Halloween monster. Yeah, there you go. I 284 00:17:48,119 --> 00:17:51,199 Speaker 1: still think about just that process of like people who 285 00:17:51,240 --> 00:17:54,919 Speaker 1: because like Jamie Loftus also during Halloween, like went to 286 00:17:54,960 --> 00:17:57,560 Speaker 1: go work as like a character at like a Haunted 287 00:17:57,600 --> 00:18:00,840 Speaker 1: hay Ride, and I just think of what I would 288 00:18:00,840 --> 00:18:03,800 Speaker 1: love to see a very earnest audition process for that, 289 00:18:04,080 --> 00:18:06,040 Speaker 1: like where like if it's like a dance audition, like 290 00:18:06,040 --> 00:18:08,400 Speaker 1: all right, line up, y'all. First, I know somebod y'all 291 00:18:08,440 --> 00:18:11,560 Speaker 1: know modern ballet or whatever, but we're doing mostly monster movements, 292 00:18:11,560 --> 00:18:14,840 Speaker 1: so let's see violent scary movements. Go and you're a 293 00:18:14,840 --> 00:18:20,040 Speaker 1: skeleton six seven eight. Those videos are out there. The 294 00:18:20,040 --> 00:18:23,760 Speaker 1: audition tapes are out there for like like very basic 295 00:18:23,960 --> 00:18:27,400 Speaker 1: monster moving. Yeah. My friend Roz was like, I love 296 00:18:27,480 --> 00:18:30,639 Speaker 1: watching them like people jerking around but just a normal 297 00:18:30,680 --> 00:18:32,960 Speaker 1: street clothes, like trying to get the role of a 298 00:18:33,040 --> 00:18:40,520 Speaker 1: zombie and what I started zombie auditions. What's something you 299 00:18:40,520 --> 00:18:44,080 Speaker 1: think is underrated, Lizzie? Okay, this is we're talking simple 300 00:18:44,119 --> 00:18:46,920 Speaker 1: pleasures here, Okay. And I think about this every time 301 00:18:46,920 --> 00:18:52,560 Speaker 1: I get in my car. Prescription sunglasses. Okay, do either 302 00:18:52,600 --> 00:18:56,080 Speaker 1: of you wear glasses? Tell him one eye and I 303 00:18:56,160 --> 00:19:01,960 Speaker 1: just never wear my glasses, so like, yeah, my vision 304 00:19:02,000 --> 00:19:04,960 Speaker 1: in one eye is like a super villain, Like, right, 305 00:19:05,320 --> 00:19:09,760 Speaker 1: it's gonna start drifting. Yeah, that's it. That is how 306 00:19:09,800 --> 00:19:13,560 Speaker 1: you get like your vision just shuts off, like like, 307 00:19:13,680 --> 00:19:16,119 Speaker 1: so my left eyes fucked up, and I have noticed 308 00:19:16,160 --> 00:19:19,200 Speaker 1: myself be a little cock eyed from time to time, 309 00:19:19,480 --> 00:19:21,440 Speaker 1: just relying on one a little more. Yeah, I think 310 00:19:21,440 --> 00:19:26,080 Speaker 1: I just rely on my right eye, which ken does 311 00:19:26,160 --> 00:19:29,399 Speaker 1: have X ray vision, so it is. Yeah, that's that's 312 00:19:29,440 --> 00:19:31,679 Speaker 1: little spooky. My friend Andy Ritchie used to have a 313 00:19:31,720 --> 00:19:33,960 Speaker 1: joke about that, and he's like, just look at Mr Peanut, 314 00:19:34,800 --> 00:19:37,840 Speaker 1: like Mr any character like with a monocle is just 315 00:19:38,800 --> 00:19:41,440 Speaker 1: why not? Wait, so you how bad is your prescription? 316 00:19:41,440 --> 00:19:43,560 Speaker 1: How bad is your vision? Mine is so bad? And 317 00:19:43,600 --> 00:19:46,600 Speaker 1: it's been this way since seventh grade. I remember Human 318 00:19:46,720 --> 00:19:52,600 Speaker 1: Sexuality class. I couldn't see the chalkboard. That was the 319 00:19:52,640 --> 00:19:54,879 Speaker 1: first time you realize you had that vision. You're like, 320 00:19:54,920 --> 00:19:57,520 Speaker 1: I finally want to see what's up there. He's like, 321 00:19:57,560 --> 00:20:04,480 Speaker 1: I was drawing a micro I could not see the chalkboard. 322 00:20:04,680 --> 00:20:07,120 Speaker 1: So yes, So it's been in seventh grade and now 323 00:20:07,119 --> 00:20:10,960 Speaker 1: it's so bad. It's twenty two hundred. So whatever someone 324 00:20:11,000 --> 00:20:14,800 Speaker 1: else can see two ft would have to be twenty 325 00:20:14,880 --> 00:20:19,600 Speaker 1: ft in front of me. To see. Wow. I but 326 00:20:19,760 --> 00:20:22,600 Speaker 1: for some reason, I never had prescription sunglasses until like 327 00:20:22,640 --> 00:20:25,160 Speaker 1: my early thirties, and before then it was just like, well, 328 00:20:25,160 --> 00:20:28,520 Speaker 1: if it's sunny out, I'm blind right right right the 329 00:20:29,160 --> 00:20:33,520 Speaker 1: days when the sun is shining. Yeah, man, that's well 330 00:20:33,560 --> 00:20:37,920 Speaker 1: because I have vision. Oh okay, well it's nearly perfect. 331 00:20:38,200 --> 00:20:42,080 Speaker 1: Just yeah, I mean it's actually be on perfect, Like 332 00:20:42,160 --> 00:20:46,840 Speaker 1: he sees things that we we can only us near mortals. 333 00:20:47,440 --> 00:20:50,560 Speaker 1: If the blood coursing through my hand right now, at 334 00:20:50,560 --> 00:20:53,720 Speaker 1: the back of my hand, astronauts can see things at 335 00:20:53,720 --> 00:20:58,000 Speaker 1: twenty ft that miles too, when when astronauts are looking 336 00:20:58,040 --> 00:21:00,680 Speaker 1: at twenty ft it looks two miles like it's half 337 00:21:00,680 --> 00:21:04,240 Speaker 1: that distance. Here's something absolutely insane that I just learned. 338 00:21:04,280 --> 00:21:07,680 Speaker 1: And since Thanksgiving is coming up, I feel like if 339 00:21:07,720 --> 00:21:10,879 Speaker 1: you missed not to mention is that turkeys have better 340 00:21:10,960 --> 00:21:16,080 Speaker 1: vision than human beings. Oh no wait what? Oh no 341 00:21:16,240 --> 00:21:21,120 Speaker 1: to that. If you're like, oh, I think they see 342 00:21:21,200 --> 00:21:24,320 Speaker 1: better than us, we should not eat them. They can 343 00:21:24,320 --> 00:21:27,560 Speaker 1: still see you from the oven right right there, just 344 00:21:27,640 --> 00:21:31,720 Speaker 1: like seeing everything, and that that is always interesting, Like 345 00:21:32,400 --> 00:21:35,639 Speaker 1: human vision. We like to talk about dog vision being 346 00:21:36,119 --> 00:21:39,440 Speaker 1: bullshit and you know, black and white like human vision. 347 00:21:39,680 --> 00:21:43,800 Speaker 1: Is not the top of the spectrum. There's the mantis shrimp. 348 00:21:43,920 --> 00:21:47,919 Speaker 1: I think has like oh what no, Jack, go on. 349 00:21:48,480 --> 00:21:51,280 Speaker 1: I think it has like nine times better vision them. 350 00:21:51,400 --> 00:21:54,719 Speaker 1: It's it's crazy, like they can see infrared light, they 351 00:21:54,720 --> 00:21:58,840 Speaker 1: can see everything. It's it's wild. Oh my god. Yeah, 352 00:21:59,680 --> 00:22:03,879 Speaker 1: not to like be like what okay, animals with it. Wow, Jack, 353 00:22:03,920 --> 00:22:07,359 Speaker 1: you're like a just a fact book right there. First 354 00:22:07,400 --> 00:22:13,520 Speaker 1: thing man to shrimp, Okay, well, channels of color and 355 00:22:13,560 --> 00:22:17,200 Speaker 1: can detect u V found out. I also found out 356 00:22:17,240 --> 00:22:21,840 Speaker 1: that wild turkey's sleep in the trees. Well, I've seen that, 357 00:22:22,480 --> 00:22:24,679 Speaker 1: you have. I saw like a thing where there were 358 00:22:24,720 --> 00:22:26,280 Speaker 1: turkeys in the tree and people like, what the fund 359 00:22:26,359 --> 00:22:27,719 Speaker 1: is that? And like they're sleeping and I was like, 360 00:22:27,760 --> 00:22:32,919 Speaker 1: what there's sleep? Yeah, that's right. At least they have 361 00:22:32,960 --> 00:22:35,160 Speaker 1: a bad friend. You know, some people like I won't 362 00:22:35,200 --> 00:22:37,960 Speaker 1: sleep with someone who doesn't have a bad friend, right, 363 00:22:38,960 --> 00:22:42,600 Speaker 1: turkeys your hall pass. But I just I just found 364 00:22:42,600 --> 00:22:47,760 Speaker 1: a clip of six Flag zombie auditions from New Jersey. 365 00:22:48,000 --> 00:22:50,280 Speaker 1: Oh yeah, just to just to kind of get an 366 00:22:50,320 --> 00:22:55,720 Speaker 1: idea of what kind of movements we're seeing here. Oh man, 367 00:22:56,359 --> 00:23:00,639 Speaker 1: this guy seem I think that. Thank you guys. Instructor 368 00:23:00,720 --> 00:23:05,320 Speaker 1: has real like gym teacher energy too. He just said, 369 00:23:05,359 --> 00:23:07,320 Speaker 1: this first exercise we're gonna do is just to get 370 00:23:07,359 --> 00:23:09,520 Speaker 1: you out of your comfort zone a little bit. Is 371 00:23:09,560 --> 00:23:13,400 Speaker 1: this a level one improv class? Yeah, but like as 372 00:23:13,480 --> 00:23:21,480 Speaker 1: taught by a middle school football coach and your favorite rider? Okay, 373 00:23:21,520 --> 00:23:24,840 Speaker 1: So that this audition is they're going to introduce themselves, 374 00:23:24,840 --> 00:23:27,199 Speaker 1: say their name, and scream at the top of their 375 00:23:27,280 --> 00:23:35,040 Speaker 1: lungs with their favorite rides. Bizarre m Okay about that, 376 00:23:35,119 --> 00:23:40,840 Speaker 1: little Bethany, that's not gonna work for us. My favorite Okay, 377 00:23:40,960 --> 00:23:45,080 Speaker 1: y'all are a little bit of physicality there, good afternoon, 378 00:23:47,920 --> 00:23:58,960 Speaker 1: my favorite ride? Okay, because she held it. That's why. Yeah, 379 00:23:59,160 --> 00:24:05,320 Speaker 1: my favorite Wait are they screaming and like it's just 380 00:24:06,920 --> 00:24:09,359 Speaker 1: those screams look whatever. That's why we don't run these 381 00:24:09,400 --> 00:24:12,480 Speaker 1: zombie auditions. But okay, thank you Lizzie for pointing me 382 00:24:12,520 --> 00:24:14,600 Speaker 1: in a direction, because now I'm gonna get high watching 383 00:24:15,320 --> 00:24:20,040 Speaker 1: of these I'm like critiquing. I'm like, y'all, I have 384 00:24:20,160 --> 00:24:23,400 Speaker 1: seen some things. I have worked with Miles long enough 385 00:24:23,440 --> 00:24:26,600 Speaker 1: to know that for the next week I better not 386 00:24:26,880 --> 00:24:31,600 Speaker 1: text him any questions be watching those videos I'm watching. 387 00:24:35,280 --> 00:24:38,080 Speaker 1: All right, let's take a quick break. We'll be right back, 388 00:24:48,920 --> 00:24:55,119 Speaker 1: and we're back, and knives are out for Trump and 389 00:24:55,320 --> 00:24:59,639 Speaker 1: the Republican Party. They're they're just looking for their like, 390 00:24:59,720 --> 00:25:06,280 Speaker 1: look happy, our politics, the people rejected? So what do 391 00:25:06,320 --> 00:25:08,479 Speaker 1: we what do we do here? What do we him? Right? 392 00:25:08,560 --> 00:25:11,919 Speaker 1: You get mad at and him? Right now they're choosing 393 00:25:11,920 --> 00:25:14,639 Speaker 1: the one person that they absolutely can't get rid of. 394 00:25:14,960 --> 00:25:17,119 Speaker 1: I'm sure that I have to assume this is a 395 00:25:17,880 --> 00:25:20,760 Speaker 1: this is a passing fad. As soon as they look 396 00:25:20,800 --> 00:25:23,560 Speaker 1: at the numbers again, they'll be like, oh, wait, all 397 00:25:23,560 --> 00:25:27,560 Speaker 1: our votes, our Trump gout. But the problem is, right, 398 00:25:27,800 --> 00:25:31,040 Speaker 1: this is like the one time where they absolutely need 399 00:25:31,080 --> 00:25:34,240 Speaker 1: to find something different because with Trump at the ticket, 400 00:25:34,359 --> 00:25:38,240 Speaker 1: it's been consecutive elections where they're just losing. Yeah, like 401 00:25:38,520 --> 00:25:42,359 Speaker 1: it's it's been a downward trend every sing since and 402 00:25:42,480 --> 00:25:44,879 Speaker 1: like but it's funny, like they always there there's a 403 00:25:44,880 --> 00:25:47,600 Speaker 1: lot of outrage from like mainstream Republican figures, but like 404 00:25:47,840 --> 00:25:50,600 Speaker 1: each time there's some ship like this the Ukraine call 405 00:25:50,880 --> 00:25:54,600 Speaker 1: meddling with the d o J attempted election theft, there 406 00:25:54,600 --> 00:25:57,760 Speaker 1: are always like a few more Republicans are like, oh, 407 00:25:57,760 --> 00:26:00,800 Speaker 1: I wouldn't do that, but then they don't do anything, 408 00:26:00,880 --> 00:26:03,680 Speaker 1: they get too scared and next thing, you know, they realize, oh, 409 00:26:03,720 --> 00:26:07,520 Speaker 1: that's right, this dude is my daddy now. And last 410 00:26:07,560 --> 00:26:09,680 Speaker 1: week a lot of the media outlets on the right 411 00:26:09,760 --> 00:26:12,919 Speaker 1: came for him. In the National Review, the headline was 412 00:26:13,160 --> 00:26:18,840 Speaker 1: Trump is a bust for Republicans, ok, okay, and then uh, 413 00:26:19,440 --> 00:26:22,760 Speaker 1: going to Rupert Murdoch, what's he doing over there? Well, 414 00:26:22,840 --> 00:26:24,800 Speaker 1: most of the channels are like, I don't know about 415 00:26:24,880 --> 00:26:27,119 Speaker 1: this guy. On the New York Post, the cover on 416 00:26:27,240 --> 00:26:32,359 Speaker 1: Thursday showed Trump as trumpty dumpty don who couldn't build 417 00:26:32,359 --> 00:26:34,960 Speaker 1: a wall, had a great fall. Can all the GOP's 418 00:26:35,000 --> 00:26:38,640 Speaker 1: men put the party back together again? Uh? And they're 419 00:26:38,680 --> 00:26:41,600 Speaker 1: all kind of getting they're all using Trump as this excuse, 420 00:26:41,640 --> 00:26:45,240 Speaker 1: but they let them run that entire titles so long. 421 00:26:46,119 --> 00:26:48,480 Speaker 1: I mean, it's the New York Post like whenever it's 422 00:26:48,520 --> 00:26:51,720 Speaker 1: like pun filled, they're like, man, fuck whatever, both of 423 00:26:51,760 --> 00:26:54,639 Speaker 1: the standards are get that pun in there. But you know, 424 00:26:54,680 --> 00:26:57,399 Speaker 1: like they kind of tried to stop him in like 425 00:26:57,400 --> 00:26:59,480 Speaker 1: where that first, like this guy is gonna be bad 426 00:26:59,680 --> 00:27:03,240 Speaker 1: on need to just realize like that, them constantly feeding 427 00:27:03,280 --> 00:27:06,119 Speaker 1: the base like nativist bullshit in the eight years prior 428 00:27:06,680 --> 00:27:10,400 Speaker 1: is like what made Trump absolutely irresistible to their voters. 429 00:27:10,680 --> 00:27:12,280 Speaker 1: So they just got out the way, and we're like 430 00:27:12,359 --> 00:27:15,800 Speaker 1: amazed at what happened, and they excuse every single funk 431 00:27:15,920 --> 00:27:18,359 Speaker 1: up because they really saw this guy as like the 432 00:27:18,480 --> 00:27:21,320 Speaker 1: way to like that thing we talked about last week 433 00:27:21,320 --> 00:27:24,439 Speaker 1: with Nick Fuentez, like this one right wing extremist time, 434 00:27:24,560 --> 00:27:27,120 Speaker 1: like we just need a dictatorship man. Doesn't matter how 435 00:27:27,119 --> 00:27:29,760 Speaker 1: many more of them that there are than us, Well, 436 00:27:29,800 --> 00:27:31,280 Speaker 1: we think we need to get them to be get 437 00:27:31,280 --> 00:27:34,320 Speaker 1: in line with like our rules, and that's it. Many 438 00:27:34,359 --> 00:27:36,720 Speaker 1: people saw Trump as being like, oh, this guy can 439 00:27:36,760 --> 00:27:39,520 Speaker 1: just get this, Like if we just stay behind him, 440 00:27:39,600 --> 00:27:42,440 Speaker 1: we might get to that place. So it's just kind 441 00:27:42,440 --> 00:27:44,520 Speaker 1: of like, I don't know if there's really like we 442 00:27:44,560 --> 00:27:48,000 Speaker 1: always say there's no hypocrisy with like the base or 443 00:27:48,040 --> 00:27:51,200 Speaker 1: the politicians on the right, because you know, like they 444 00:27:51,320 --> 00:27:53,719 Speaker 1: know that this is all about just getting to the 445 00:27:53,840 --> 00:27:57,480 Speaker 1: end game of just own the Libs fully and just 446 00:27:57,640 --> 00:28:00,280 Speaker 1: having just give us absolute power and we'll look away 447 00:28:00,320 --> 00:28:03,400 Speaker 1: at every single thing. But I don't know, it's just there. 448 00:28:03,480 --> 00:28:06,320 Speaker 1: They keep trying to do this thing where they act like, oh, 449 00:28:06,359 --> 00:28:10,200 Speaker 1: here we go, they're gonna dump them, but they've already 450 00:28:10,200 --> 00:28:14,640 Speaker 1: like the toothpastes out the two. Yeah, yeah, but they 451 00:28:14,720 --> 00:28:18,080 Speaker 1: I mean people were pointing out the New York Post 452 00:28:18,880 --> 00:28:22,280 Speaker 1: has turned on Trump before, and everyone's been like, it's 453 00:28:22,320 --> 00:28:25,880 Speaker 1: the end for Trump. And then someone's like, actually, they 454 00:28:26,000 --> 00:28:28,600 Speaker 1: we we all said that four years ago, like this 455 00:28:28,800 --> 00:28:34,320 Speaker 1: this is they'll do this all the time exactly. Yeah, 456 00:28:35,560 --> 00:28:37,560 Speaker 1: you didn't want him in the first place, like the 457 00:28:37,560 --> 00:28:41,000 Speaker 1: mainstream of the party didn't want him in the first place, 458 00:28:41,360 --> 00:28:45,800 Speaker 1: and we're we're supporting Jeb Bush and other you know, 459 00:28:46,040 --> 00:28:52,000 Speaker 1: establishment tickets. And then they realized quickly when the primary 460 00:28:52,080 --> 00:28:54,880 Speaker 1: started that they couldn't beat him, and so they go 461 00:28:55,040 --> 00:28:57,600 Speaker 1: they go back to it. It's just there's not a 462 00:28:57,840 --> 00:29:00,240 Speaker 1: great option. I mean, De Santis seems to be the 463 00:29:00,280 --> 00:29:04,640 Speaker 1: option that the like there maybe their best option, their 464 00:29:04,680 --> 00:29:09,000 Speaker 1: best alternative to this point, but I I can't picture 465 00:29:09,480 --> 00:29:13,160 Speaker 1: a version of this playing out where De Santi's beats Trump. 466 00:29:13,560 --> 00:29:19,200 Speaker 1: He's just too much more entertaining. And there is he's 467 00:29:19,200 --> 00:29:22,480 Speaker 1: a person who has a death cult, like we haven't 468 00:29:22,560 --> 00:29:27,200 Speaker 1: had that ever, like a large scale death cult in America. 469 00:29:27,520 --> 00:29:30,800 Speaker 1: Like that's it's pretty wild. But yeah, it's like, but 470 00:29:30,880 --> 00:29:33,000 Speaker 1: how do you get But they're kind of maxed out 471 00:29:33,000 --> 00:29:36,360 Speaker 1: their membership on the death cult, and now they're like, fuck, 472 00:29:37,160 --> 00:29:39,240 Speaker 1: if this is the best we can do, and jerrymandering 473 00:29:39,320 --> 00:29:42,240 Speaker 1: is like only barely getting us like to even footing, 474 00:29:42,720 --> 00:29:44,480 Speaker 1: then what Because I think that's the thing that a 475 00:29:44,520 --> 00:29:48,600 Speaker 1: lot of you know, like the consultant and strategy class 476 00:29:48,640 --> 00:29:50,560 Speaker 1: of the party you're thinking about, like I don't know 477 00:29:50,600 --> 00:29:52,840 Speaker 1: how the funk you're gonna win, like like you can 478 00:29:52,880 --> 00:29:55,320 Speaker 1: only do so much without trying to figure out. Maybe 479 00:29:55,320 --> 00:29:59,600 Speaker 1: someone else energizes more people to come back, and we'll 480 00:29:59,640 --> 00:30:01,720 Speaker 1: see what happens. But I think the thing that really 481 00:30:01,720 --> 00:30:05,040 Speaker 1: said Trump off, especially last week, because he lost it, 482 00:30:05,320 --> 00:30:08,040 Speaker 1: like really in an interesting way. The New York Post, 483 00:30:08,120 --> 00:30:11,600 Speaker 1: I think, on Friday posted this headline with him and 484 00:30:11,640 --> 00:30:14,040 Speaker 1: his family after he won re election. It says the 485 00:30:14,240 --> 00:30:22,040 Speaker 1: future run the future, Yes, Ron the future, Okay, mask 486 00:30:22,080 --> 00:30:24,080 Speaker 1: off and he's also a mask off like future with 487 00:30:24,120 --> 00:30:28,040 Speaker 1: his racism and just heinousness. But Donald Trump went out 488 00:30:28,080 --> 00:30:30,640 Speaker 1: and then got on truth social and like email blasted 489 00:30:30,680 --> 00:30:34,760 Speaker 1: everybody talking about how like I made this motherfucker when 490 00:30:34,800 --> 00:30:37,520 Speaker 1: he said he was dying in the balls, I endorsed him. 491 00:30:37,680 --> 00:30:41,160 Speaker 1: Then he said this this is really interesting quote. I 492 00:30:41,280 --> 00:30:43,400 Speaker 1: was all in for Ron and he beat Gillham. But 493 00:30:43,480 --> 00:30:45,480 Speaker 1: after the race, when votes are being stolen by the 494 00:30:45,480 --> 00:30:48,280 Speaker 1: corrupt election process in Broward County and Ron was going 495 00:30:48,320 --> 00:30:51,560 Speaker 1: down ten thousand votes today along with now Senator Rick Scott, 496 00:30:51,720 --> 00:30:54,400 Speaker 1: I sent in the FBI and the U S attorneys, 497 00:30:54,440 --> 00:30:57,680 Speaker 1: and the ballot theft immediately ended, just prior to them 498 00:30:57,760 --> 00:31:00,160 Speaker 1: running out of the votes necessary to win. I up 499 00:31:00,200 --> 00:31:04,480 Speaker 1: this election from being stolen. Hold on, sir, what you said? 500 00:31:04,520 --> 00:31:09,280 Speaker 1: Who to do? What? Now? A lot of people are like, 501 00:31:09,560 --> 00:31:12,280 Speaker 1: is this for real? Did he really? Was he already 502 00:31:12,320 --> 00:31:15,400 Speaker 1: working with the like these mid terms. I think a 503 00:31:15,400 --> 00:31:17,600 Speaker 1: lot of people are like. It most likely is a 504 00:31:17,680 --> 00:31:21,640 Speaker 1: reference to when then Florida Attorney General Pam Bonda, I 505 00:31:21,840 --> 00:31:25,160 Speaker 1: like took into like listen to some bullshit claims, was 506 00:31:25,200 --> 00:31:27,520 Speaker 1: looking into some ship about voter fraud, and they didn't 507 00:31:27,520 --> 00:31:29,760 Speaker 1: find ship, and they kept it moving because I think 508 00:31:29,760 --> 00:31:33,120 Speaker 1: most people have noticed we usually have here most of 509 00:31:33,160 --> 00:31:35,520 Speaker 1: the ship that happens like in real time with this guy, 510 00:31:35,640 --> 00:31:37,640 Speaker 1: It just depends on how much of it gets reported 511 00:31:37,720 --> 00:31:40,760 Speaker 1: or not. And not many people found anything that you know, 512 00:31:40,960 --> 00:31:43,160 Speaker 1: that seemed consistent with what he just said. But again 513 00:31:43,200 --> 00:31:46,680 Speaker 1: I think shows his level of like like he's really 514 00:31:46,680 --> 00:31:50,479 Speaker 1: doing like I made you? Is the vibe right now? 515 00:31:51,080 --> 00:31:53,240 Speaker 1: He the only divisin is em power is because I 516 00:31:53,280 --> 00:31:58,840 Speaker 1: committed crimes to get him there, like easy. But that's 517 00:31:58,840 --> 00:32:03,160 Speaker 1: what's so good about having the Republicans tied to somebody 518 00:32:03,200 --> 00:32:07,400 Speaker 1: who is any any time he's under attack or like 519 00:32:07,480 --> 00:32:11,480 Speaker 1: any something that he perceives as humiliating, which is almost everything, 520 00:32:11,560 --> 00:32:14,800 Speaker 1: because that's just like how his brain work. Like anytime 521 00:32:14,800 --> 00:32:19,040 Speaker 1: that's happening, he is like a person who's drowning and 522 00:32:19,080 --> 00:32:22,880 Speaker 1: just pulling everyone in with him, just like fuck you, 523 00:32:23,080 --> 00:32:26,880 Speaker 1: I'm like, and we'll keep doing that until he's on 524 00:32:26,920 --> 00:32:31,280 Speaker 1: a pile of bodies, like just it's like watching a 525 00:32:31,320 --> 00:32:36,680 Speaker 1: magician bomb. Yeah you did not see me switch the 526 00:32:36,800 --> 00:32:39,520 Speaker 1: quarter into my other hand. When we did we did 527 00:32:39,600 --> 00:32:42,360 Speaker 1: what the funk man? That wasn't magic? Okay, what about 528 00:32:42,400 --> 00:32:44,680 Speaker 1: this this guy? Like, this guy was loving it a 529 00:32:44,720 --> 00:32:52,760 Speaker 1: minute ago, So ask him what happened? He said me up, actually, motherfucker, 530 00:32:52,840 --> 00:32:56,760 Speaker 1: get up here. Let's all boo him. But yeah, I 531 00:32:57,040 --> 00:33:00,440 Speaker 1: think Then he went on and came after the Governor 532 00:33:00,800 --> 00:33:04,000 Speaker 1: Glenn Yunkin and was like being like, I don't know, 533 00:33:04,160 --> 00:33:07,080 Speaker 1: maybe he's Asian. It sounds Asian to me? What kind 534 00:33:07,120 --> 00:33:11,000 Speaker 1: of last name is young Kin? Like, that's the I'm 535 00:33:11,000 --> 00:33:14,200 Speaker 1: not joking. That was the level of shit talking he 536 00:33:14,320 --> 00:33:16,720 Speaker 1: was at today. It was just being like, this dude's 537 00:33:16,800 --> 00:33:20,960 Speaker 1: last name sounds Asian. This is what he said, young 538 00:33:21,040 --> 00:33:25,240 Speaker 1: kid and parenthetical. Now that's an interesting take. Sounds Chinese, 539 00:33:25,320 --> 00:33:30,520 Speaker 1: doesn't it. What are you doing? I think we should 540 00:33:30,520 --> 00:33:33,400 Speaker 1: just isolate the side that Lizzie just had and that 541 00:33:33,440 --> 00:33:37,240 Speaker 1: should be our only analysis of It's giving me a panic, 542 00:33:37,400 --> 00:33:39,160 Speaker 1: Like the idea of going back to it gives me 543 00:33:39,200 --> 00:33:41,680 Speaker 1: a panic attack. Well, this is the thing, right, I 544 00:33:41,680 --> 00:33:44,880 Speaker 1: think most people have seen all these MAGA candidates that 545 00:33:44,880 --> 00:33:47,719 Speaker 1: were running to be elected. The ones that were reelected 546 00:33:47,800 --> 00:33:49,920 Speaker 1: is one thing, But the people who are trying to 547 00:33:50,040 --> 00:33:54,800 Speaker 1: unseat incumbents. Incumbents were not fucking winning, and that's a 548 00:33:54,840 --> 00:33:57,200 Speaker 1: big thing that they're Like, Dude, the MAGA ship is 549 00:33:57,200 --> 00:33:59,440 Speaker 1: not as potent as it used to be. And I 550 00:33:59,480 --> 00:34:01,680 Speaker 1: think that's that's the one thing that I will take 551 00:34:01,720 --> 00:34:05,680 Speaker 1: as an indication of perhaps his stock somewhat dwindling, is that, 552 00:34:05,760 --> 00:34:09,080 Speaker 1: like it just like they wasn't quite getting over the 553 00:34:09,120 --> 00:34:11,439 Speaker 1: line with some of these extremists, Like at a certain point, 554 00:34:11,480 --> 00:34:13,160 Speaker 1: some people are like, yeah, like Donald Trump's like but 555 00:34:13,200 --> 00:34:16,000 Speaker 1: also like a lot of this ship is it doesn't 556 00:34:16,000 --> 00:34:18,880 Speaker 1: sound like solution based at all. It sounds like, you know, 557 00:34:19,040 --> 00:34:22,560 Speaker 1: let's just restrict people's access to like healthcare or privatized 558 00:34:22,560 --> 00:34:24,480 Speaker 1: Social Security and things like that. So I don't know, 559 00:34:24,960 --> 00:34:27,360 Speaker 1: but you'd feel like if there was that sort of 560 00:34:27,480 --> 00:34:30,440 Speaker 1: same energy behind it, that would have been born out 561 00:34:30,440 --> 00:34:33,200 Speaker 1: a little bit in the election results. So I think 562 00:34:33,200 --> 00:34:35,840 Speaker 1: it's just merely like because the brand is just so 563 00:34:36,160 --> 00:34:39,880 Speaker 1: it's just not as it's losing its appeal somewhat. Yeah, 564 00:34:40,080 --> 00:34:42,479 Speaker 1: I feel like it's very muddy, like like you said, 565 00:34:42,560 --> 00:34:45,440 Speaker 1: it's on the one hand, it does seem like the 566 00:34:45,440 --> 00:34:49,000 Speaker 1: Maggie candidates didn't do well, and but like all of 567 00:34:49,040 --> 00:34:53,280 Speaker 1: the analysis of the midterm elections and like them being 568 00:34:53,600 --> 00:34:56,760 Speaker 1: the opposite of what was predicted by the mainstream media, 569 00:34:57,120 --> 00:34:59,120 Speaker 1: a lot of it is like, well, there is a 570 00:34:59,160 --> 00:35:03,080 Speaker 1: candidate quality at the issue and Trump maybe like Trump's 571 00:35:03,080 --> 00:35:06,760 Speaker 1: appeal maybe dwindling, but like that's hard to prove because 572 00:35:06,800 --> 00:35:09,440 Speaker 1: he wasn't like on the ticket, you know, like he 573 00:35:09,480 --> 00:35:13,040 Speaker 1: wasn't no, nobody was actually voting for him, and so 574 00:35:13,160 --> 00:35:17,760 Speaker 1: it just muddies what seems like there are some very 575 00:35:17,800 --> 00:35:23,520 Speaker 1: straightforward like policy takeaways that should be the thing that 576 00:35:23,640 --> 00:35:29,160 Speaker 1: every media outlet is pointing out, pointing to and but 577 00:35:29,160 --> 00:35:33,440 Speaker 1: but they are these like straightforward policy takeaways that don't 578 00:35:34,320 --> 00:35:39,439 Speaker 1: work with the mainstream narrative because they're too simple and straightforward. 579 00:35:39,640 --> 00:35:45,640 Speaker 1: And like it does feel like this moment feels go ahead. 580 00:35:45,960 --> 00:35:47,719 Speaker 1: I was just gonna say, I love that the idea 581 00:35:47,719 --> 00:35:51,040 Speaker 1: of a candidate quality check for Republicans, Like what that 582 00:35:51,080 --> 00:35:55,640 Speaker 1: would be like, is there a crease in your doctors 583 00:35:56,640 --> 00:36:00,720 Speaker 1: check their teeth and gum line like a horse? Like okay, good. 584 00:36:01,800 --> 00:36:04,160 Speaker 1: But this moment just feels very clarifying to me, Like 585 00:36:04,239 --> 00:36:08,160 Speaker 1: it feels like, you know, there's a bunch of progressive 586 00:36:08,280 --> 00:36:11,680 Speaker 1: energy at the point, like from voters that is laid 587 00:36:11,680 --> 00:36:14,239 Speaker 1: bare in an election that the mainstream media was kind 588 00:36:14,239 --> 00:36:17,720 Speaker 1: of distracted into thinking was going in a different direction, 589 00:36:17,800 --> 00:36:20,160 Speaker 1: so they didn't really have their message and ready for 590 00:36:20,280 --> 00:36:22,439 Speaker 1: like what was going to happen if there was this 591 00:36:23,440 --> 00:36:27,960 Speaker 1: kind of progressive energy that turned out and instead of 592 00:36:28,040 --> 00:36:32,600 Speaker 1: like covering the progressive policies that are resonating with people 593 00:36:32,640 --> 00:36:35,680 Speaker 1: that have resonated with people for a long time, they're 594 00:36:35,800 --> 00:36:39,520 Speaker 1: just like muddying everything with this, like are people tired 595 00:36:39,560 --> 00:36:41,920 Speaker 1: of Trump? Like what's Trump gonna say? Like just this 596 00:36:42,360 --> 00:36:47,759 Speaker 1: like personality contest, this like sports media bullshit take of 597 00:36:47,840 --> 00:36:52,279 Speaker 1: just like who's got the better like who who's the 598 00:36:52,320 --> 00:36:55,840 Speaker 1: better horse? Essentially, The New York Times literally, like the 599 00:36:55,920 --> 00:36:58,359 Speaker 1: day after the election was like, all right, here's who 600 00:36:58,400 --> 00:37:02,439 Speaker 1: we like for the Democrat addic presidency. If Biden drops out, 601 00:37:03,160 --> 00:37:06,879 Speaker 1: they'll be shocked to know the people they liked, Harris 602 00:37:07,040 --> 00:37:11,799 Speaker 1: Buddha Jedge where we're like all the mainstream centrist Democrats 603 00:37:11,800 --> 00:37:14,480 Speaker 1: and the people they weren't feeling. Like literally, there was 604 00:37:14,520 --> 00:37:17,040 Speaker 1: a category that was like here's who to here's who 605 00:37:17,080 --> 00:37:20,319 Speaker 1: we like, and then a category I'm just not feeling it. 606 00:37:20,360 --> 00:37:22,759 Speaker 1: And it was like the first two were Bernie Sanders 607 00:37:22,880 --> 00:37:26,279 Speaker 1: and AOC were like number one and two of like 608 00:37:26,640 --> 00:37:28,879 Speaker 1: just not feeling it, just not feeling a folks once 609 00:37:28,920 --> 00:37:30,840 Speaker 1: to old once to You think J. B. Pritsker was 610 00:37:30,840 --> 00:37:34,360 Speaker 1: in the middle section of that, right, Yeah, that's not 611 00:37:34,400 --> 00:37:36,160 Speaker 1: a lot of people are just like just get the 612 00:37:36,400 --> 00:37:40,080 Speaker 1: just get these big lads out there, right, yeah, the big, 613 00:37:40,239 --> 00:37:44,120 Speaker 1: big relatable lads out there, like in the rush belt. 614 00:37:44,320 --> 00:37:46,719 Speaker 1: But there's like a very straightforward story to tell here 615 00:37:46,800 --> 00:37:51,359 Speaker 1: like that. So, yeah, there has a lot of there 616 00:37:51,360 --> 00:37:55,440 Speaker 1: has been a lot of support for progressive policies that 617 00:37:55,560 --> 00:37:59,719 Speaker 1: performed incredibly well, and they performed incredibly well in like 618 00:37:59,760 --> 00:38:05,839 Speaker 1: they elections like Pennsylvania with Shapiro and Fetterman just you know, 619 00:38:06,120 --> 00:38:11,800 Speaker 1: running populist campaigns that are focused on giving people economic 620 00:38:11,880 --> 00:38:15,279 Speaker 1: reforms that help their lives, like that is for some 621 00:38:15,320 --> 00:38:19,320 Speaker 1: reason seen as like this fringe populist thing, but it works. 622 00:38:19,400 --> 00:38:24,360 Speaker 1: And then there are these more conservative democratic statewide campaigns 623 00:38:24,400 --> 00:38:29,440 Speaker 1: in North Carolina and Iowa that had so Federman Shapiro 624 00:38:29,920 --> 00:38:34,560 Speaker 1: both ran ahead of how Joe Biden did in traditionally 625 00:38:34,560 --> 00:38:38,080 Speaker 1: Republican parts of the state. That's always what Democrats are, like, 626 00:38:38,160 --> 00:38:39,799 Speaker 1: the thing that we got to figure out is how 627 00:38:39,880 --> 00:38:45,000 Speaker 1: we get those like those blue collar workers to start 628 00:38:45,080 --> 00:38:48,600 Speaker 1: voting Democrat again. So they have their answer that that's it, 629 00:38:48,880 --> 00:38:55,960 Speaker 1: like just run on populist progressive economic policies that we 630 00:38:55,960 --> 00:38:58,799 Speaker 1: we saw that work. And when they didn't do that 631 00:38:59,000 --> 00:39:01,920 Speaker 1: in state wide campaign in North Carolina and Iowa, they 632 00:39:02,040 --> 00:39:06,080 Speaker 1: ran behind Joe Biden. So it's like a very very 633 00:39:06,120 --> 00:39:10,440 Speaker 1: straightforward lesson. Then that feels like good news, right, they 634 00:39:10,480 --> 00:39:13,319 Speaker 1: have a very clear answer following this election. The bad 635 00:39:13,360 --> 00:39:15,719 Speaker 1: news is they've had a very clear answer before this 636 00:39:15,840 --> 00:39:17,759 Speaker 1: and ignore the funk out of it. But how do 637 00:39:17,840 --> 00:39:22,640 Speaker 1: we do economic populism without really affecting the bottom line 638 00:39:22,640 --> 00:39:25,440 Speaker 1: of a lot of companies? And I think that's the like, 639 00:39:25,600 --> 00:39:28,880 Speaker 1: that's this fucking weird cliff that the Democrats are always 640 00:39:28,920 --> 00:39:32,240 Speaker 1: like standing over there, Like, I mean, it's a winning 641 00:39:32,320 --> 00:39:35,799 Speaker 1: message when you speak directly to people's lived experiences and say, 642 00:39:35,920 --> 00:39:39,800 Speaker 1: I know you're getting fucked over by like rising prices 643 00:39:39,880 --> 00:39:43,560 Speaker 1: and the greed of companies. I know that. Like when 644 00:39:43,560 --> 00:39:47,160 Speaker 1: you go that route, people are like wait what And suddenly, 645 00:39:47,160 --> 00:39:50,160 Speaker 1: like you're saying, like rural counties start going back towards 646 00:39:50,200 --> 00:39:54,000 Speaker 1: Democrats because they're speaking something that is like very straightforward. 647 00:39:54,040 --> 00:39:58,799 Speaker 1: Every politician needs just start dressing like Aaron Brockovich. Yes, 648 00:39:59,120 --> 00:40:03,080 Speaker 1: why not. I'd love to see that. But I mean, 649 00:40:03,080 --> 00:40:06,319 Speaker 1: like that's that's what's sort of like so infuriating, is that, 650 00:40:06,400 --> 00:40:09,640 Speaker 1: like it's so simple. It's like you just you get 651 00:40:09,680 --> 00:40:12,279 Speaker 1: your you get your hymnal from your donors, and then 652 00:40:12,280 --> 00:40:14,360 Speaker 1: you have to sing the songs that they say, Yeah, 653 00:40:14,600 --> 00:40:18,080 Speaker 1: like you see it with with the messaging around inflation 654 00:40:18,440 --> 00:40:20,640 Speaker 1: like that was supposed to swing the whole election, and 655 00:40:20,680 --> 00:40:25,680 Speaker 1: it didn't really because people understood like all of the 656 00:40:25,719 --> 00:40:31,160 Speaker 1: stuff about like well, Biden giving money to you the 657 00:40:31,239 --> 00:40:35,080 Speaker 1: voter is what caused this pain, this inflation like that 658 00:40:35,560 --> 00:40:38,400 Speaker 1: it resonated something. It was like a fifty fifty split 659 00:40:38,520 --> 00:40:41,480 Speaker 1: basically on inflation, but it wasn't like the thing that 660 00:40:41,520 --> 00:40:44,200 Speaker 1: swung the election. And by the way, the like pre 661 00:40:44,440 --> 00:40:48,840 Speaker 1: electoral like analysis that they got was from Larry Summers, 662 00:40:49,040 --> 00:40:52,839 Speaker 1: who you may remember as the president of Harvard, who 663 00:40:52,880 --> 00:40:55,120 Speaker 1: was like flying on the lolite express that we covered 664 00:40:55,160 --> 00:40:59,520 Speaker 1: when we're talking about how Harvard Harvard. Yeah, it's basically 665 00:40:59,520 --> 00:41:04,640 Speaker 1: a bashing of wealth protectionism and not liberal intellectualism. But anyways, 666 00:41:04,719 --> 00:41:06,480 Speaker 1: like the the big one is just like they're all 667 00:41:06,520 --> 00:41:11,880 Speaker 1: these very popular progressive policies that we keep seeing, like 668 00:41:11,920 --> 00:41:16,799 Speaker 1: we making abortion illegal is wildly unpopular, and that does 669 00:41:16,840 --> 00:41:19,160 Speaker 1: seem to be the one that the mainstream media is 670 00:41:19,239 --> 00:41:23,320 Speaker 1: letting in, Like they're letting that message in that Okay, 671 00:41:23,400 --> 00:41:28,879 Speaker 1: the you know what, what the extremist Republican position and 672 00:41:29,040 --> 00:41:34,319 Speaker 1: action now on abortion is cost them this election. But 673 00:41:34,400 --> 00:41:37,080 Speaker 1: they're not like covering the fact that like gun control 674 00:41:37,320 --> 00:41:41,759 Speaker 1: is popular, and like, voters represented that white supremacy is unpopular, 675 00:41:42,200 --> 00:41:46,239 Speaker 1: and voters represented that in some places, people don't think 676 00:41:46,320 --> 00:41:51,160 Speaker 1: healthcare should bankrupt you. Yeah. Yeah, and like that's another 677 00:41:51,200 --> 00:41:53,200 Speaker 1: wild thing to just I just wanted to talk about 678 00:41:53,239 --> 00:41:55,799 Speaker 1: all the attacks that teachers are under, like critical race 679 00:41:55,840 --> 00:41:58,120 Speaker 1: theory and all this culture war bullshit. There are a 680 00:41:58,200 --> 00:42:02,080 Speaker 1: lot of bills that passed were increasing funding to public schools. 681 00:42:02,400 --> 00:42:05,120 Speaker 1: So despite all that, like you weren't like despite like, no, 682 00:42:05,239 --> 00:42:07,960 Speaker 1: we gotta we gotta cut the ship off and privatize everything. 683 00:42:08,400 --> 00:42:10,239 Speaker 1: Most people are like, no, no, no, we like that, 684 00:42:11,080 --> 00:42:14,280 Speaker 1: take that more money for them. Yeah, pro choice measures 685 00:42:14,280 --> 00:42:18,480 Speaker 1: swept at the ballot box. Progressives one with ballot measures 686 00:42:18,480 --> 00:42:22,160 Speaker 1: that support policies like raising the minimum wage and taxing 687 00:42:22,200 --> 00:42:25,880 Speaker 1: the rich. Like just everywhere across the country, a bunch 688 00:42:25,920 --> 00:42:30,799 Speaker 1: of like progressive House candidates one, but like aren't being 689 00:42:30,840 --> 00:42:36,440 Speaker 1: covered summarily in Pennsylvania, Delia Ramirez in Illinois. There's like 690 00:42:36,440 --> 00:42:40,400 Speaker 1: a bunch of these Greg Cassar in Texas, like a, 691 00:42:41,160 --> 00:42:43,400 Speaker 1: you know, these populous candidates are winning in Texas. It 692 00:42:43,440 --> 00:42:47,200 Speaker 1: seems like these are the surprising results that they would 693 00:42:47,280 --> 00:42:51,640 Speaker 1: cover if they didn't have some other agenda. I can't 694 00:42:51,719 --> 00:42:55,880 Speaker 1: quite put my finger on it right pro collective bargaining 695 00:42:55,920 --> 00:43:01,880 Speaker 1: measures one, legalized cannabis one. Like measures for rent control 696 00:43:02,480 --> 00:43:06,920 Speaker 1: one everywhere They fucking one in Orange County, Florida, like 697 00:43:07,000 --> 00:43:10,319 Speaker 1: rent control. Rent control is popular in Florida. You think 698 00:43:10,400 --> 00:43:14,759 Speaker 1: that would be like the one of the big takeaways. 699 00:43:14,920 --> 00:43:20,520 Speaker 1: It's like, help people because they're being harmed by massive corporations, 700 00:43:20,640 --> 00:43:24,680 Speaker 1: and like they it's a very straightforward message that they 701 00:43:24,680 --> 00:43:28,120 Speaker 1: seem to be willfully fucking up at places they are 702 00:43:28,120 --> 00:43:31,480 Speaker 1: at times they are because again, it's a consolidation of 703 00:43:31,520 --> 00:43:34,799 Speaker 1: our media and everything, and it's all being ran by 704 00:43:34,800 --> 00:43:37,280 Speaker 1: a very specific kind of person in a very specific 705 00:43:37,320 --> 00:43:42,279 Speaker 1: socio economic situation with a very specific perspective. And that's 706 00:43:42,719 --> 00:43:45,680 Speaker 1: I mean, honestly, that's that's why like people like candidates 707 00:43:45,719 --> 00:43:48,400 Speaker 1: who aren't his tethered to like the old school like 708 00:43:48,480 --> 00:43:51,560 Speaker 1: political machine of using corporate dollars and things like that, 709 00:43:51,840 --> 00:43:54,520 Speaker 1: are speaking more freely than the ones that are like 710 00:43:54,760 --> 00:43:58,240 Speaker 1: born from it. And that's I think that's the balancing 711 00:43:58,239 --> 00:43:59,920 Speaker 1: act of d n C is also probably gonna look 712 00:43:59,920 --> 00:44:01,200 Speaker 1: at too. It's like, dude, you get too many of 713 00:44:01,239 --> 00:44:04,640 Speaker 1: these populists in here, we're like we're like a couple. 714 00:44:05,080 --> 00:44:07,880 Speaker 1: You know. Congress is away from like real like actually 715 00:44:07,880 --> 00:44:11,400 Speaker 1: delivering for people at the expense of like profits. And 716 00:44:11,440 --> 00:44:13,359 Speaker 1: I think that's what will be interesting too, because there's 717 00:44:13,400 --> 00:44:15,560 Speaker 1: a lot of analysis about how there was a lot 718 00:44:15,560 --> 00:44:19,400 Speaker 1: of success in the suburbs and suburban voters going to Trump, 719 00:44:19,719 --> 00:44:22,279 Speaker 1: but a lot of suburban voters tend to be like 720 00:44:22,520 --> 00:44:26,360 Speaker 1: upper middle middle class and maybe look at the economy 721 00:44:26,560 --> 00:44:29,719 Speaker 1: way different than these other people, these other voters that 722 00:44:29,800 --> 00:44:32,120 Speaker 1: the Democrats are also trying to court, which are like 723 00:44:32,120 --> 00:44:36,279 Speaker 1: like workers, laborers, who are like looking at how like 724 00:44:36,320 --> 00:44:39,400 Speaker 1: the economy is affecting them, and have a like maybe 725 00:44:39,560 --> 00:44:42,520 Speaker 1: probably a more populist agenda than the people in the suburbs. 726 00:44:42,520 --> 00:44:44,560 Speaker 1: So how are they going to balance all those things? 727 00:44:44,960 --> 00:44:48,760 Speaker 1: And you feel like they're gonna probably just shy away 728 00:44:48,800 --> 00:44:50,759 Speaker 1: from going more populous, But I don't know, I mean, 729 00:44:50,920 --> 00:44:52,640 Speaker 1: maybe they found a way to be like we can 730 00:44:52,680 --> 00:44:55,399 Speaker 1: do a little bit of that stuff while still like 731 00:44:55,680 --> 00:44:59,880 Speaker 1: wreaking and or generating massive money and not completely just 732 00:45:00,320 --> 00:45:03,400 Speaker 1: you know, knee capping in industry because we decided people 733 00:45:03,400 --> 00:45:07,200 Speaker 1: need free medicine or some wacky ship like that does 734 00:45:07,280 --> 00:45:12,160 Speaker 1: populist just mean like anti corporate and like humanitarian like 735 00:45:12,160 --> 00:45:15,160 Speaker 1: like that. It feels like it's just like, yeah, I 736 00:45:15,200 --> 00:45:18,480 Speaker 1: don't I don't know. It's people, you mean populous interchangeably 737 00:45:18,520 --> 00:45:22,320 Speaker 1: to refer to Trump and then policies of like rent control. 738 00:45:22,400 --> 00:45:26,839 Speaker 1: It's just it's just appeal to normal people. That's all 739 00:45:26,880 --> 00:45:31,960 Speaker 1: it is. It's just normal. So that's all subjective, right, 740 00:45:32,040 --> 00:45:34,719 Speaker 1: But I think what Trump he was being like as 741 00:45:34,719 --> 00:45:37,040 Speaker 1: an outsider in sixteen, it was great popes, like we 742 00:45:37,080 --> 00:45:41,000 Speaker 1: gotta get these like nobody's making money. These prescription drugs 743 00:45:41,000 --> 00:45:43,400 Speaker 1: are way too like he did. He was talking to 744 00:45:43,440 --> 00:45:45,640 Speaker 1: a lot a lot of that ship and so but 745 00:45:45,719 --> 00:45:49,080 Speaker 1: then got in I was like, I'm broke and I 746 00:45:49,160 --> 00:45:53,799 Speaker 1: have bills. Y'all have a friend, a friend who like 747 00:45:53,880 --> 00:45:57,279 Speaker 1: works in finance from like you know, a friend that 748 00:45:57,320 --> 00:46:01,160 Speaker 1: I went to school with, and he her our podcast 749 00:46:01,200 --> 00:46:02,799 Speaker 1: and was like, oh, I had no idea you were 750 00:46:02,840 --> 00:46:09,879 Speaker 1: so populist, And I was like, what does that mean? Yeah? 751 00:46:10,040 --> 00:46:12,319 Speaker 1: Is that I think that is like a slur in 752 00:46:12,800 --> 00:46:17,600 Speaker 1: that realm, right, is like the idea that well, you're 753 00:46:17,680 --> 00:46:20,799 Speaker 1: just saying what people want to hear, and it's like, well, 754 00:46:20,840 --> 00:46:24,000 Speaker 1: they wanted to hear it because they're not stupid and 755 00:46:24,200 --> 00:46:27,640 Speaker 1: it helps them. And there are like clear ways that 756 00:46:27,680 --> 00:46:32,440 Speaker 1: people can help themselves through politics that fucking everyone else 757 00:46:32,560 --> 00:46:36,880 Speaker 1: is ignoring, like in the mainstream media. Right. Yes, it 758 00:46:36,960 --> 00:46:41,120 Speaker 1: really is like that thing where like, yeah, you're I 759 00:46:41,120 --> 00:46:42,799 Speaker 1: don't know how to put it. Like I feel like 760 00:46:43,640 --> 00:46:45,360 Speaker 1: back in the day, like I would I would be 761 00:46:45,360 --> 00:46:48,440 Speaker 1: wanting to date somebody and then like are you like 762 00:46:48,560 --> 00:46:50,440 Speaker 1: you know, they tell me like I'm not happy in 763 00:46:50,480 --> 00:46:52,520 Speaker 1: the relationship. I was like, oh, that's that's messed up, 764 00:46:52,520 --> 00:46:54,279 Speaker 1: and they what's happening, Oh, they don't do this and 765 00:46:54,280 --> 00:46:56,400 Speaker 1: don't go, oh, that's that's my stuff. Then you get 766 00:46:56,480 --> 00:46:58,879 Speaker 1: a call, hey man, why are you talking shit to me? 767 00:46:59,360 --> 00:47:01,840 Speaker 1: Like talking about me tomorrow to my girlfriend? I was 768 00:47:01,880 --> 00:47:05,440 Speaker 1: like what I just they literally just said what was 769 00:47:05,480 --> 00:47:08,840 Speaker 1: going on? And I agreed. I wasn't generating some other narrative. 770 00:47:08,920 --> 00:47:12,360 Speaker 1: You're just getting angry at the fact that objectively the 771 00:47:12,440 --> 00:47:15,880 Speaker 1: situation is not good and someone describing it isn't. Somehow 772 00:47:15,960 --> 00:47:19,719 Speaker 1: now this like underhanded thing rather than for like the 773 00:47:19,760 --> 00:47:24,320 Speaker 1: parties in power understanding their messages aren't resonating. The status 774 00:47:24,360 --> 00:47:27,719 Speaker 1: quo is absolute violence in death and that's how most 775 00:47:27,719 --> 00:47:30,480 Speaker 1: people see it. So you come out here talking that 776 00:47:30,640 --> 00:47:32,759 Speaker 1: same thing, they go, oh, that's death and destruction. That's 777 00:47:32,800 --> 00:47:36,240 Speaker 1: death and destruction. Yeah, that's not solutions like someone who's 778 00:47:36,440 --> 00:47:38,040 Speaker 1: and I think that's all it is. People just want 779 00:47:38,040 --> 00:47:40,200 Speaker 1: you to come and be like, here's the problem. Here's 780 00:47:40,239 --> 00:47:43,720 Speaker 1: the solution. Republicans, right now, just go here's the fucking problem. 781 00:47:43,760 --> 00:47:47,080 Speaker 1: You'all right, yeah this is well. Then the New York 782 00:47:47,120 --> 00:47:50,400 Speaker 1: Times doesn't have a single like they have a columnist 783 00:47:50,440 --> 00:47:53,800 Speaker 1: who's willing to say fucking everything. They have a columnist 784 00:47:53,800 --> 00:47:57,680 Speaker 1: who's willing to be like being a traditional Catholic is 785 00:47:57,800 --> 00:48:02,320 Speaker 1: actually punk rock and know like just the wildest ship, 786 00:48:02,440 --> 00:48:04,879 Speaker 1: like loving the Pope is the most punk rock thing 787 00:48:04,920 --> 00:48:08,280 Speaker 1: you can do today. And they don't have somebody who's 788 00:48:08,320 --> 00:48:12,360 Speaker 1: willing to be like all right, So like Democratic voters 789 00:48:13,000 --> 00:48:16,600 Speaker 1: like came out and forced voted for Democrats and said 790 00:48:16,719 --> 00:48:19,839 Speaker 1: that they're really frustrated, Like in exit poling they said 791 00:48:19,840 --> 00:48:22,440 Speaker 1: they're really frustrated with the Democrat, like with Joe Biden. 792 00:48:22,640 --> 00:48:25,160 Speaker 1: So like there's a clear message here. They vote for, 793 00:48:25,520 --> 00:48:29,759 Speaker 1: you know, progressive policies and they're frustrated with the existing thing, 794 00:48:30,239 --> 00:48:33,040 Speaker 1: Like what wouldn't it suggest that like it would make 795 00:48:33,080 --> 00:48:36,600 Speaker 1: sense for the Democratic Party to like shift to more 796 00:48:36,640 --> 00:48:41,480 Speaker 1: progressive policies and like being more straightforwardly like helpful to 797 00:48:41,640 --> 00:48:45,799 Speaker 1: people and humanitarian. Um, they don't have a single columnist 798 00:48:45,800 --> 00:48:48,960 Speaker 1: who make who makes that argument is pretty wild. Just 799 00:48:49,040 --> 00:48:51,479 Speaker 1: thinking about how much is brewing in Florida right now? 800 00:48:51,719 --> 00:48:55,759 Speaker 1: Is does Trump still live there? Oh yeah, I think 801 00:48:55,760 --> 00:48:59,120 Speaker 1: he refuses to even leave when a tropical storm is coming. 802 00:48:59,160 --> 00:49:04,680 Speaker 1: As of last week, A nucas, let's take a quick break, 803 00:49:04,920 --> 00:49:19,080 Speaker 1: we'll be right back, and we're back. And so is 804 00:49:19,160 --> 00:49:26,120 Speaker 1: Lindsay Lohan did no. I was watching her Greek beach 805 00:49:26,160 --> 00:49:28,960 Speaker 1: show on MTV when that was that was a vibe? 806 00:49:29,160 --> 00:49:31,439 Speaker 1: When was that? It's like three years ago, I said, 807 00:49:31,480 --> 00:49:34,000 Speaker 1: this reality show she had like a beach club somewhere 808 00:49:34,120 --> 00:49:37,360 Speaker 1: like in like Mico Nose or something like that, and 809 00:49:37,440 --> 00:49:41,320 Speaker 1: it was and she had that like funky accent. Yes, 810 00:49:41,760 --> 00:49:46,200 Speaker 1: she suddenly developed one like Madonna did. Yes, like a 811 00:49:46,280 --> 00:49:49,839 Speaker 1: Madonna suddenly came out in a British accent right right right, 812 00:49:50,239 --> 00:49:54,880 Speaker 1: Like I'm an extra understanding or like patient willing to 813 00:49:55,080 --> 00:49:59,879 Speaker 1: allow for people developing accents or just you know, any 814 00:50:00,040 --> 00:50:04,279 Speaker 1: anything that's like maybe pretty wacky. Also could be like 815 00:50:04,680 --> 00:50:07,680 Speaker 1: them coping with trauma. Like when it comes to child actors, 816 00:50:07,680 --> 00:50:10,239 Speaker 1: I feel like child actors more and more the more 817 00:50:10,320 --> 00:50:13,360 Speaker 1: evidence we have, we're just like, man, they were probably 818 00:50:13,960 --> 00:50:18,520 Speaker 1: so the worst way to grow up honestly, Like I 819 00:50:18,520 --> 00:50:22,160 Speaker 1: feel like the kids I grew up with were child actors, 820 00:50:22,200 --> 00:50:24,480 Speaker 1: Like only like a couple of them I can say 821 00:50:24,480 --> 00:50:29,400 Speaker 1: are like healthy functioning adults. Now, oh my god, just 822 00:50:29,480 --> 00:50:31,239 Speaker 1: a weird. I think a lot of it has to 823 00:50:31,239 --> 00:50:33,319 Speaker 1: do with just how what your relationship is to your parents, too, 824 00:50:33,320 --> 00:50:35,320 Speaker 1: because a lot of people just end up inverting the 825 00:50:35,400 --> 00:50:38,279 Speaker 1: child parent relationship the second that kid is generating like 826 00:50:38,520 --> 00:50:41,480 Speaker 1: TV money, and then it just begins like Okay, well 827 00:50:41,480 --> 00:50:43,360 Speaker 1: what's the next thing? What's the next thing? And like 828 00:50:43,440 --> 00:50:46,040 Speaker 1: as a parent telling your fucking twelve year old that, 829 00:50:46,280 --> 00:50:50,279 Speaker 1: like that's way too much pressure, and like especially if 830 00:50:50,280 --> 00:50:53,400 Speaker 1: they like they know the funky, like there's a funky 831 00:50:53,440 --> 00:50:57,759 Speaker 1: family situation to begin with, like just yeah, it's it 832 00:50:57,760 --> 00:51:01,320 Speaker 1: can't be not always the best. I remember with the 833 00:51:01,320 --> 00:51:04,720 Speaker 1: the change in her accent, she was like, I'm studying 834 00:51:04,719 --> 00:51:07,200 Speaker 1: a lot of languages right now. That's that's why this 835 00:51:07,280 --> 00:51:10,920 Speaker 1: is happening. And I love the for like drinking and 836 00:51:11,040 --> 00:51:13,520 Speaker 1: driving and doing dual lingo all at the same time. 837 00:51:16,480 --> 00:51:18,360 Speaker 1: So she'd used an accent to an accent work in 838 00:51:18,400 --> 00:51:20,960 Speaker 1: these movies. Check or what do we know is I 839 00:51:21,000 --> 00:51:23,320 Speaker 1: don't I don't believe. So I think we're back to 840 00:51:24,040 --> 00:51:27,399 Speaker 1: at least she's found some center that doesn't require them 841 00:51:27,520 --> 00:51:31,640 Speaker 1: to cast her as like a British national in the movie. 842 00:51:31,680 --> 00:51:34,120 Speaker 1: Because in this movie, you know, first of all, it's 843 00:51:34,120 --> 00:51:36,600 Speaker 1: a Christmas movie. You know, we're we're more than one 844 00:51:36,640 --> 00:51:38,840 Speaker 1: week into November. So I think we can all agree 845 00:51:38,880 --> 00:51:41,440 Speaker 1: it's time to take garbage bags over our windows and 846 00:51:41,480 --> 00:51:45,640 Speaker 1: start watching made for TV holiday movies. I was just 847 00:51:45,680 --> 00:51:48,120 Speaker 1: about to gesture to my garbage bag over my window 848 00:51:48,239 --> 00:51:53,040 Speaker 1: right there. Hey, that that's just good podcasting. Oh I 849 00:51:53,040 --> 00:51:55,480 Speaker 1: didn't even realize that was a garbage because that's how 850 00:51:55,480 --> 00:51:59,359 Speaker 1: I watched my Christmas movies. There you go. So this 851 00:51:59,400 --> 00:52:04,840 Speaker 1: one's called Falling for Christmas. It stars Lindsay Lohan. It 852 00:52:04,920 --> 00:52:08,759 Speaker 1: is basically Overboard but Christmas like Overboard the Goldie Hawn 853 00:52:09,160 --> 00:52:13,040 Speaker 1: Kurt Russell movie, except in the one What's so in 854 00:52:13,080 --> 00:52:17,480 Speaker 1: that Goldie Hawn is on a yacht, she falls overboard. 855 00:52:17,960 --> 00:52:21,560 Speaker 1: She is like a rich heiress and I think falls 856 00:52:21,640 --> 00:52:26,160 Speaker 1: overboard after after like being really shitty to a laborer 857 00:52:26,239 --> 00:52:29,719 Speaker 1: who is working on the yacht basically like has a 858 00:52:30,239 --> 00:52:34,320 Speaker 1: case of the old drowning that leaves her without her memory. 859 00:52:34,400 --> 00:52:36,800 Speaker 1: She like watches up on shore but can't remember anything. 860 00:52:37,320 --> 00:52:42,960 Speaker 1: And then the laborer like sees that she is missing 861 00:52:43,080 --> 00:52:46,160 Speaker 1: and go or sees that there's like an unidentified woman 862 00:52:46,200 --> 00:52:49,080 Speaker 1: at the hospital and goes and like basically brings her 863 00:52:49,320 --> 00:52:53,160 Speaker 1: on to be his wife. And Clay like lies very 864 00:52:53,360 --> 00:52:57,920 Speaker 1: very like very easy to confuse with a horror movie plot, 865 00:52:58,640 --> 00:53:02,799 Speaker 1: like you know, this person is kidnapping her. Easy to 866 00:53:02,840 --> 00:53:05,839 Speaker 1: confuse with the plot of Muppets Take Manhattan. I don't 867 00:53:05,840 --> 00:53:08,560 Speaker 1: know if you remember that. But Kermit hits his head 868 00:53:09,520 --> 00:53:12,759 Speaker 1: really right before he's supposed to do a starring role 869 00:53:12,800 --> 00:53:17,000 Speaker 1: on Broadway, and Mr Piggy has to go looking for 870 00:53:17,800 --> 00:53:19,480 Speaker 1: It's like a stress stream where you have to like 871 00:53:19,560 --> 00:53:23,160 Speaker 1: learn all the lines in like one day. Well, he 872 00:53:23,200 --> 00:53:25,160 Speaker 1: doesn't even know he's an actor. He ends up going 873 00:53:25,160 --> 00:53:30,200 Speaker 1: into advertising for a bit. It's actually a really good movie. 874 00:53:30,280 --> 00:53:32,799 Speaker 1: He thinks his name is Phil or something like that. 875 00:53:32,960 --> 00:53:35,000 Speaker 1: It's so funny because I know I've seen it, but 876 00:53:35,600 --> 00:53:39,239 Speaker 1: all the Muppet films. I just stopped watching like in childhood, 877 00:53:39,360 --> 00:53:40,960 Speaker 1: and like, as you said, I'm like, wait, this is 878 00:53:40,960 --> 00:53:47,560 Speaker 1: all coming. Yes, I've INTI this Manhattan before. Anyways, Despite 879 00:53:47,600 --> 00:53:51,200 Speaker 1: the fact that Lindsay Lohan's character has clearly suffered a 880 00:53:51,239 --> 00:53:53,799 Speaker 1: serious brain injury, the hospital staff quickly send her off 881 00:53:53,840 --> 00:53:57,800 Speaker 1: to live with some random dude, a ski lodge manager, 882 00:53:58,280 --> 00:54:02,319 Speaker 1: because because he offers which I guess it's based on 883 00:54:02,480 --> 00:54:06,480 Speaker 1: anxiety around our reckless healthcare system, you know where. They're like, 884 00:54:06,520 --> 00:54:08,680 Speaker 1: I don't know, we need we need the bed you got. 885 00:54:09,120 --> 00:54:11,359 Speaker 1: You don't have to go home, but you can't stay here. 886 00:54:11,640 --> 00:54:15,239 Speaker 1: And this fucker says you can live with him. You've 887 00:54:15,280 --> 00:54:17,839 Speaker 1: seen I don't. I don't know. He said you can 888 00:54:17,840 --> 00:54:22,960 Speaker 1: go him though. Fortunately the stranger is very handsome I 889 00:54:23,000 --> 00:54:27,000 Speaker 1: think romance and sues, but it's it does seem like 890 00:54:27,000 --> 00:54:29,560 Speaker 1: a bad idea. She needs further medical supervision. She has 891 00:54:29,600 --> 00:54:34,760 Speaker 1: a big TV head bandage situation going, and she's forced 892 00:54:34,800 --> 00:54:37,960 Speaker 1: to stay with a man she doesn't know. It's very 893 00:54:38,000 --> 00:54:41,399 Speaker 1: similar to Barbarians. The setup for Barbarian if you've seen 894 00:54:41,440 --> 00:54:44,160 Speaker 1: that movie, but it's also being heavily promoted as a 895 00:54:44,239 --> 00:54:48,680 Speaker 1: comeback and second chance for Lindsay Lohan, and people are 896 00:54:48,760 --> 00:54:53,160 Speaker 1: trying to make the phrase the low Hannah Sons happen. Nah, 897 00:54:53,360 --> 00:54:56,720 Speaker 1: come on, honestly, fetch has a better chance of happening 898 00:54:56,760 --> 00:54:59,680 Speaker 1: than low Hanna Sons, like honestly, and they may have, 899 00:55:00,080 --> 00:55:05,120 Speaker 1: but she's like second chance. She had like seven thousand chances. 900 00:55:06,320 --> 00:55:09,920 Speaker 1: It would be more like turbulent career. Another another moment 901 00:55:10,040 --> 00:55:15,080 Speaker 1: in this up and down career. Right, I remember in 902 00:55:15,280 --> 00:55:17,799 Speaker 1: Overboard it was like Goldie Hawn's character had like a 903 00:55:17,840 --> 00:55:20,120 Speaker 1: tattoo of a heart on one of her bought cheeks. 904 00:55:20,200 --> 00:55:22,640 Speaker 1: Do you remember that? Yeah, that's right, that's like an 905 00:55:22,719 --> 00:55:27,480 Speaker 1: identifying feature. Maybe Lindsay Lohan could have like an ankle monitor, right, 906 00:55:28,719 --> 00:55:34,800 Speaker 1: like who's the dude playing opposite her? Because like, is 907 00:55:35,560 --> 00:55:39,239 Speaker 1: Overboard like the beginning of the Kurt Russell Goldie Hawn relationship, 908 00:55:39,400 --> 00:55:41,000 Speaker 1: because weren't they on? Were they a bird on a 909 00:55:41,000 --> 00:55:43,080 Speaker 1: wire together? Too? Yeah? I think I think it was 910 00:55:43,200 --> 00:55:46,080 Speaker 1: after after that, And that's why we were fine with 911 00:55:46,600 --> 00:55:51,200 Speaker 1: the wildly predatory behavior of Kurt Russell towards Goldie Hawn 912 00:55:51,320 --> 00:55:53,319 Speaker 1: because people are like, well, they really love each other 913 00:55:53,360 --> 00:55:55,320 Speaker 1: in real life, so it's true, it's just a story 914 00:55:55,360 --> 00:56:00,840 Speaker 1: about them finding their you know pull or you know 915 00:56:01,400 --> 00:56:05,320 Speaker 1: so as just our new goldie and Kurt this guy, uh, whoever? 916 00:56:05,400 --> 00:56:07,680 Speaker 1: This guy? I thought it was Turtle from Entourage based 917 00:56:07,719 --> 00:56:09,680 Speaker 1: on the screen cap of this. Yeah, the screen cap 918 00:56:09,760 --> 00:56:12,319 Speaker 1: is not selling me on the handsomeness, but I'm sure 919 00:56:12,360 --> 00:56:15,719 Speaker 1: he's very handsome. He also is dressed like he was 920 00:56:15,760 --> 00:56:19,000 Speaker 1: someone who was at the at the Capitol on January six, 921 00:56:20,320 --> 00:56:24,360 Speaker 1: which does seem to be a prerequisite for for Hallmark 922 00:56:25,160 --> 00:56:29,399 Speaker 1: unk is, Like, was he there January six? Alright, we're good. 923 00:56:29,480 --> 00:56:32,040 Speaker 1: Could he reasonably be assumed to have been there? She 924 00:56:32,080 --> 00:56:37,920 Speaker 1: wakes up at Nancy Pelosi's desk. Oh, you're in my house, 925 00:56:37,960 --> 00:56:41,680 Speaker 1: But anything looks familiar in here? What is that the 926 00:56:41,840 --> 00:56:47,239 Speaker 1: lectern from Congress? Yeah? I was there. A writer jam 927 00:56:47,400 --> 00:56:49,600 Speaker 1: was pointing out that, like, it is kind of smart 928 00:56:49,680 --> 00:56:53,160 Speaker 1: writing because the main character like it. It is sort 929 00:56:53,200 --> 00:56:58,480 Speaker 1: of an allegorical version of a Lindsay Lohan comeback story. 930 00:56:58,560 --> 00:57:02,320 Speaker 1: The main character starts out spoiled and irritating. She bunks 931 00:57:02,320 --> 00:57:05,040 Speaker 1: her head and is given a new identity, humbled and 932 00:57:05,080 --> 00:57:08,239 Speaker 1: reduced to her core essence, revealing that she's a good 933 00:57:08,280 --> 00:57:12,839 Speaker 1: person deep down, And there's like that that is also 934 00:57:13,000 --> 00:57:15,560 Speaker 1: something that's happening in the media. I don't know if 935 00:57:15,600 --> 00:57:18,800 Speaker 1: this is part of like a pr push or like 936 00:57:18,840 --> 00:57:20,800 Speaker 1: how much money is being spent on this. There's a 937 00:57:20,840 --> 00:57:24,000 Speaker 1: BuzzFeed article with the headline, we really need to talk 938 00:57:24,040 --> 00:57:27,640 Speaker 1: about Lindsay Lohan, like she and I didn't add that, 939 00:57:27,720 --> 00:57:30,840 Speaker 1: Like that's in the headline. Like she is a completely 940 00:57:30,880 --> 00:57:33,280 Speaker 1: different person than she was a few years ago when 941 00:57:33,320 --> 00:57:35,560 Speaker 1: she was pulling up on that woman's like give me 942 00:57:35,600 --> 00:57:38,680 Speaker 1: your baby. Yes, I will take your child out safe 943 00:57:38,920 --> 00:57:42,760 Speaker 1: in the most ill ill informed way possible. Yeah, I 944 00:57:42,760 --> 00:57:46,200 Speaker 1: mean obviously pulling tugging out a child while mothers saying no, 945 00:57:46,320 --> 00:57:50,280 Speaker 1: I don't need your help. Maybe, but so she what 946 00:57:50,280 --> 00:57:52,280 Speaker 1: what do they say like in the article, like she's 947 00:57:52,280 --> 00:57:54,480 Speaker 1: so different now she like speaks with a different accent. 948 00:57:54,600 --> 00:57:59,480 Speaker 1: Now she sounds Dominican. You're gonna love it. We'll see, well, 949 00:57:59,560 --> 00:58:03,200 Speaker 1: we'll see if if there's any momentum here. The article 950 00:58:03,320 --> 00:58:06,360 Speaker 1: does not do a great job of, you know, laying 951 00:58:06,360 --> 00:58:08,600 Speaker 1: out a case that she is like a totally different 952 00:58:08,640 --> 00:58:12,760 Speaker 1: person's actually I'll believe it. Images and different things from 953 00:58:12,760 --> 00:58:17,000 Speaker 1: the mini fridge now, yeah, right, she only steals one 954 00:58:17,160 --> 00:58:20,480 Speaker 1: robe when she's staying out a hotel. Now not all 955 00:58:20,640 --> 00:58:24,920 Speaker 1: of the towels, okay, but I think the idea is 956 00:58:25,000 --> 00:58:28,240 Speaker 1: like this, in this story, this person who we all 957 00:58:28,360 --> 00:58:31,880 Speaker 1: deep down suspect, like we we loved her. She was 958 00:58:31,920 --> 00:58:33,960 Speaker 1: like so charming when she was a kid, like so 959 00:58:34,240 --> 00:58:38,360 Speaker 1: it's like she's stripped to her essence by this head injury. 960 00:58:38,600 --> 00:58:41,280 Speaker 1: Movie apparently even include a cover of jingle Bell Rocks 961 00:58:41,280 --> 00:58:44,760 Speaker 1: sung by Lindsay Lohan, which is a pretty conspicuous nod 962 00:58:44,760 --> 00:58:48,560 Speaker 1: to me. Girls, I don't love that. Yeah, that's you 963 00:58:48,600 --> 00:58:51,640 Speaker 1: don't need to do all that. It's a little much. Yeah, 964 00:58:51,800 --> 00:58:56,720 Speaker 1: it's like watch it for this, but watch it for this, right, 965 00:58:57,280 --> 00:59:01,400 Speaker 1: Oh guy, this is some oh some dude from Glee 966 00:59:01,560 --> 00:59:09,080 Speaker 1: is like the love interest Cord over Street Cord Yeah 967 00:59:09,240 --> 00:59:12,440 Speaker 1: that I got the gig on Glee, you know what 968 00:59:12,440 --> 00:59:15,880 Speaker 1: I mean. But the reviews are fucked up, man, for 969 00:59:15,960 --> 00:59:18,680 Speaker 1: all this ship of like New York Times falling for 970 00:59:18,760 --> 00:59:24,920 Speaker 1: Christmas review tripped down memory lane. But let's see Lindsay 971 00:59:25,000 --> 00:59:28,439 Speaker 1: low a throne sees anything else, but he still does 972 00:59:28,480 --> 00:59:31,400 Speaker 1: not have an alarm clock instead of having a In 973 00:59:31,760 --> 00:59:36,360 Speaker 1: the case of Overboard, the she is abandoned by her 974 00:59:37,200 --> 00:59:41,280 Speaker 1: wealthy husband I think he knows she's there, and he's like, oh, 975 00:59:41,520 --> 00:59:44,400 Speaker 1: she looks like a mess in that hospital picture. I'm 976 00:59:44,400 --> 00:59:49,560 Speaker 1: just gonna let her abandon her to the masses, essentially, 977 00:59:49,840 --> 00:59:52,400 Speaker 1: And in this one, instead of her husband, it's a 978 00:59:52,480 --> 00:59:55,920 Speaker 1: wealthy father who's the problem. I don't know the exact 979 00:59:56,240 --> 01:00:00,320 Speaker 1: plat maginations, but that feels you know, that also feels 980 01:00:00,320 --> 01:00:03,520 Speaker 1: like her interesting. You know what, I'm never listening to 981 01:00:03,520 --> 01:00:05,320 Speaker 1: New York Times because you know what Indie Wire said 982 01:00:05,320 --> 01:00:08,840 Speaker 1: about this movie, Lindsay Lohan's falling for Christmas is the 983 01:00:08,880 --> 01:00:16,280 Speaker 1: citizen Kane of Netflix. Christmas movie Thank You, The Low 984 01:00:16,360 --> 01:00:18,600 Speaker 1: Hand of Sons is officially upon us, complete with self 985 01:00:18,640 --> 01:00:23,000 Speaker 1: deprecating jokes and slave folds, a physical comedy Welcome Home, Lindsay. 986 01:00:23,080 --> 01:00:25,360 Speaker 1: So maybe that's what they're trying to say. Add Anti 987 01:00:25,440 --> 01:00:28,120 Speaker 1: lohand bias to the list of New York Times biases 988 01:00:28,480 --> 01:00:30,280 Speaker 1: and now I gotta watch see just off the strength 989 01:00:30,280 --> 01:00:32,600 Speaker 1: of the New York Times saying that, And some one 990 01:00:32,720 --> 01:00:35,360 Speaker 1: was being like, this is the citizen King of Netflix. 991 01:00:36,240 --> 01:00:38,800 Speaker 1: You can say that. I'm sorry, that's so powerful to 992 01:00:38,920 --> 01:00:42,080 Speaker 1: say that. You can't buy you can't buy coverage, Like, 993 01:00:42,080 --> 01:00:45,480 Speaker 1: I am curious what a voice sounds like now and 994 01:00:45,840 --> 01:00:48,480 Speaker 1: I accent aside. I want to know what level of 995 01:00:48,640 --> 01:00:51,520 Speaker 1: rasp we're getting, right we I think we can hear 996 01:00:51,520 --> 01:00:54,080 Speaker 1: it probably in the Should we just play real quick? 997 01:00:54,280 --> 01:00:55,800 Speaker 1: I can play a little bit of the You need 998 01:00:55,840 --> 01:00:57,840 Speaker 1: a special instrument to listen to it, like you do 999 01:00:57,960 --> 01:01:01,000 Speaker 1: to listen to Wales. Let me just get my tuning fork, 1000 01:01:01,360 --> 01:01:05,440 Speaker 1: guys and put on This is binural audio, so please 1001 01:01:05,520 --> 01:01:09,919 Speaker 1: put on both headphones. If you're driving over, pull over. 1002 01:01:10,080 --> 01:01:13,120 Speaker 1: What your body here is not actual police sirens or explosions. 1003 01:01:13,640 --> 01:01:18,080 Speaker 1: It's Lindsay Lohan's fantastic charisma. Oh. First, she's doing a 1004 01:01:18,120 --> 01:01:20,040 Speaker 1: thing where she's introducing the trailer, so you want to 1005 01:01:20,040 --> 01:01:22,240 Speaker 1: hear that. You want to hear the trailer voice. Let's 1006 01:01:22,240 --> 01:01:24,000 Speaker 1: do the introduction. I mean, she's not gonna do a 1007 01:01:24,000 --> 01:01:25,960 Speaker 1: totally different way we go. I want you to see 1008 01:01:26,000 --> 01:01:30,040 Speaker 1: it too. Happy holidays everyone, Christmas has come early this year. 1009 01:01:31,200 --> 01:01:36,400 Speaker 1: That's not that's smoking as many filterless cigarettes. Yeah, okay, 1010 01:01:36,440 --> 01:01:38,320 Speaker 1: I'll buy that. Okay, let's see in the movie. Now, 1011 01:01:38,400 --> 01:01:40,360 Speaker 1: let's see. Can we get a shot? What if we 1012 01:01:40,360 --> 01:01:43,840 Speaker 1: go to the movie. I just want people to remember 1013 01:01:43,880 --> 01:01:47,800 Speaker 1: me from more than my last name. Yeah, that's that 1014 01:01:47,840 --> 01:01:51,840 Speaker 1: sounds right. Okay, Okay, all right, I mean, okay, Lindsey, 1015 01:01:52,400 --> 01:01:56,360 Speaker 1: it's a little rough, you know what, I want the 1016 01:01:56,440 --> 01:02:02,240 Speaker 1: Lindsay Lohan white noise machine. That's just like she does 1017 01:02:02,360 --> 01:02:04,200 Speaker 1: have a rast. She always had a rask people she 1018 01:02:04,400 --> 01:02:10,200 Speaker 1: always had Yeah, yeah, great, So it's better than it 1019 01:02:10,240 --> 01:02:13,080 Speaker 1: could have been. And that is what I'm taking away 1020 01:02:13,080 --> 01:02:15,080 Speaker 1: from that. I mean, honestly, I'm not like looking for 1021 01:02:15,120 --> 01:02:17,480 Speaker 1: Lindsay Lohan to lose, you know, so I want, like 1022 01:02:17,480 --> 01:02:20,560 Speaker 1: I said, I watched Lohan's Beach Club and after hearing 1023 01:02:20,560 --> 01:02:24,520 Speaker 1: again it's the Citizen Kane of Netflix Christmas Films. That's 1024 01:02:25,120 --> 01:02:27,480 Speaker 1: now I might have like, I might be really mad 1025 01:02:27,520 --> 01:02:30,720 Speaker 1: if it's not what is that even supposed to indicate 1026 01:02:30,720 --> 01:02:33,120 Speaker 1: exactly if it's the Citizens, like we're just saying, it's 1027 01:02:33,120 --> 01:02:36,080 Speaker 1: like the most it's like seminal, it's the fucking is 1028 01:02:36,120 --> 01:02:41,240 Speaker 1: the top? Yeah, I think the top of the top 1029 01:02:41,240 --> 01:02:44,640 Speaker 1: of the heap. That's the implication, right, I'm I'm I'm 1030 01:02:44,640 --> 01:02:48,160 Speaker 1: deciphering that correctly. Okay, Yes, that's the implication. I did 1031 01:02:48,200 --> 01:02:51,800 Speaker 1: fall asleep during it in high school. However, it is 1032 01:02:51,840 --> 01:02:59,000 Speaker 1: critically ahead of to the Rosebud part yeah. Well, Lizzie 1033 01:02:59,000 --> 01:03:01,320 Speaker 1: Cooperman is such a play you're having you on the 1034 01:03:01,360 --> 01:03:05,040 Speaker 1: d Where can people find you and follow you? Yes, 1035 01:03:05,240 --> 01:03:09,959 Speaker 1: find me at Lizzie Cooperman on Instagram. Also, please listen 1036 01:03:10,000 --> 01:03:13,240 Speaker 1: to my podcast that's Destroying My Life. It's called Lizzie 1037 01:03:13,280 --> 01:03:16,600 Speaker 1: Cooperman's in Your Hands and the listeners are crowdsourcing my 1038 01:03:16,680 --> 01:03:19,640 Speaker 1: life for me and I have a website, Lizzie Cooperman 1039 01:03:19,720 --> 01:03:21,880 Speaker 1: dot com and as a result of my podcast, I'm 1040 01:03:21,880 --> 01:03:24,920 Speaker 1: also doing tarot readings now. They voted for me to 1041 01:03:24,960 --> 01:03:28,560 Speaker 1: become a professional tarot reader and I'm loving doing that. 1042 01:03:29,560 --> 01:03:31,280 Speaker 1: So if you'd like a reading, you can go on 1043 01:03:31,320 --> 01:03:34,240 Speaker 1: my website. Also, I'd love to tell people about a 1044 01:03:34,240 --> 01:03:38,000 Speaker 1: show that I have out of town coming up December 1045 01:03:38,160 --> 01:03:42,240 Speaker 1: ninth and tenth. If you are in Eureka, California, or 1046 01:03:42,280 --> 01:03:45,080 Speaker 1: in the surrounding area and Humboldt, I'll be at the 1047 01:03:45,120 --> 01:03:50,160 Speaker 1: Savage Henry Comedy Club. Yes, I'd love to see you. 1048 01:03:50,800 --> 01:03:52,919 Speaker 1: And is there a tweet or some of the work 1049 01:03:53,000 --> 01:03:56,400 Speaker 1: of social media you've been Oh that's right, Oh okay, Well, 1050 01:03:56,920 --> 01:03:58,800 Speaker 1: I don't know if you guys caught wind of this, 1051 01:03:59,360 --> 01:04:05,479 Speaker 1: but Pete A. Hut twee did something. Well, they've got 1052 01:04:05,600 --> 01:04:08,600 Speaker 1: something new, and the name of it is one of 1053 01:04:08,640 --> 01:04:12,560 Speaker 1: my least favorite words in the world. It's called a melt, 1054 01:04:13,720 --> 01:04:17,240 Speaker 1: the pizza hot melt. And I kind of loved this 1055 01:04:17,360 --> 01:04:19,400 Speaker 1: thread just because I felt like it wasn't met with 1056 01:04:19,440 --> 01:04:24,880 Speaker 1: the kind of fervent enthusiasm they expected. Like they were like, 1057 01:04:24,920 --> 01:04:28,440 Speaker 1: the melt is here, and the whole campaign is like, 1058 01:04:28,520 --> 01:04:31,000 Speaker 1: do not, like, don't you dare post a photo of 1059 01:04:31,040 --> 01:04:34,440 Speaker 1: yourself eating the melt? And then no one posted a photo, 1060 01:04:35,680 --> 01:04:38,920 Speaker 1: just a couple sad tweets like this is just a 1061 01:04:38,960 --> 01:04:45,560 Speaker 1: folded up piece of pizza. I don't know. I always 1062 01:04:45,600 --> 01:04:48,120 Speaker 1: I love seeing like, you know, companies try to be 1063 01:04:48,160 --> 01:04:50,200 Speaker 1: like this is the thing, but it's just like a 1064 01:04:50,240 --> 01:04:54,160 Speaker 1: different combination of the same ingredients. Because they paid a 1065 01:04:54,160 --> 01:04:59,240 Speaker 1: bunch of like art school grads millions of dollars for 1066 01:04:59,240 --> 01:05:03,959 Speaker 1: for this idea that they've come absolutely absolutely and it's 1067 01:05:03,960 --> 01:05:08,680 Speaker 1: not it's not the pizza palooza they would have hoped for. Yeah, 1068 01:05:10,240 --> 01:05:13,840 Speaker 1: also something that someone had probably paid hundreds of millions 1069 01:05:13,840 --> 01:05:16,520 Speaker 1: of dollars for an ad agency to come up with. 1070 01:05:16,760 --> 01:05:18,560 Speaker 1: Oh my god, that was actually what I called my 1071 01:05:18,680 --> 01:05:21,640 Speaker 1: birthday in third grade that no one came to so funny. 1072 01:05:21,680 --> 01:05:24,000 Speaker 1: I just came up with it. Now can we do 1073 01:05:24,080 --> 01:05:28,600 Speaker 1: something with it? Yeah, Miles, where can people find you? 1074 01:05:28,640 --> 01:05:31,000 Speaker 1: What is the tweet you've been enjoying? Uh? Find me 1075 01:05:31,080 --> 01:05:34,000 Speaker 1: on Twitter and Instagram at Miles of Gray you can 1076 01:05:34,080 --> 01:05:36,400 Speaker 1: find us Miles and Jack on Miles and Jack Got 1077 01:05:36,400 --> 01:05:39,800 Speaker 1: Mad boost Ease. That's our basketball podcasts. Yeah, you know, 1078 01:05:39,840 --> 01:05:42,720 Speaker 1: and just go check that out. Great great basketball talk. 1079 01:05:43,080 --> 01:05:47,080 Speaker 1: Also check me out on four twenty Day Fiance where 1080 01:05:47,080 --> 01:05:52,160 Speaker 1: I talked ninety day Fiance but just so high people 1081 01:05:52,440 --> 01:05:56,680 Speaker 1: can't handle their weed. Yeah, exactly exactly. I've been having 1082 01:05:56,760 --> 01:06:00,360 Speaker 1: Lydia Popovitch guest hosts with me recently. So check to 1083 01:06:00,920 --> 01:06:03,439 Speaker 1: that one. Some tweets that I'm I like, I don't 1084 01:06:03,440 --> 01:06:06,880 Speaker 1: even really know. It's just okay, it's so funny on Twitter, 1085 01:06:06,960 --> 01:06:10,720 Speaker 1: Like there's so much like like you know, seen on 1086 01:06:10,760 --> 01:06:14,120 Speaker 1: the Titanic, or like it's been a pleasure playing gentlemen 1087 01:06:14,200 --> 01:06:16,800 Speaker 1: this evening, like kind of fucking tweets all the time. 1088 01:06:16,880 --> 01:06:18,880 Speaker 1: So I'm like, then I'm like going back to some 1089 01:06:19,240 --> 01:06:22,920 Speaker 1: that I found. Uh. This one is from John Lee's 1090 01:06:23,040 --> 01:06:27,000 Speaker 1: t becom com Exology one four at John Lee's it said, 1091 01:06:27,000 --> 01:06:29,440 Speaker 1: I legit. Had to reread this several times before I 1092 01:06:29,480 --> 01:06:33,120 Speaker 1: realized it wasn't intended to be a conversation between the 1093 01:06:33,120 --> 01:06:36,080 Speaker 1: beta male and the alpha male. And it's a quote 1094 01:06:36,080 --> 01:06:40,080 Speaker 1: tweet of this other account. This dude's like totally you know, 1095 01:06:40,160 --> 01:06:43,240 Speaker 1: chud brain dude. It says, Beta male, So where do 1096 01:06:43,280 --> 01:06:45,800 Speaker 1: you want to go? Alpha male? You're going to have 1097 01:06:45,880 --> 01:06:47,760 Speaker 1: the best night of your life. I'll see you at 1098 01:06:47,840 --> 01:06:57,840 Speaker 1: nine pm where that tight red dress. They're so they're 1099 01:06:57,880 --> 01:07:00,280 Speaker 1: so cute together, the beta. I know. It's so funny 1100 01:07:00,320 --> 01:07:02,400 Speaker 1: because even when I read it, I kept saying like, well, 1101 01:07:02,480 --> 01:07:04,920 Speaker 1: this is a this is a dialogue, that's a conversation 1102 01:07:04,960 --> 01:07:07,000 Speaker 1: every time I looked at and I think that's why 1103 01:07:07,040 --> 01:07:09,440 Speaker 1: so many people were having trouble realizing what it was 1104 01:07:09,480 --> 01:07:12,160 Speaker 1: trying to say, the difference between how beta mail and album. 1105 01:07:12,160 --> 01:07:13,720 Speaker 1: They would say the same thing. I was like, why 1106 01:07:13,760 --> 01:07:16,040 Speaker 1: you telling me? Wow, you're gonna take that beta mail out? Okay, 1107 01:07:17,720 --> 01:07:20,160 Speaker 1: you can find me on Twitter at Jack Underscore O'Brien, 1108 01:07:20,520 --> 01:07:23,080 Speaker 1: And for my tweet, I've been enjoying this is what 1109 01:07:23,200 --> 01:07:25,360 Speaker 1: it's come to Twitter. I'm just gonna link off to 1110 01:07:25,440 --> 01:07:28,920 Speaker 1: something in the footnotes that is this person, Drew Kaufman 1111 01:07:29,160 --> 01:07:32,680 Speaker 1: is online tweeted trained my TikTok algorithm to show videos 1112 01:07:32,720 --> 01:07:34,840 Speaker 1: that are so surreal you feel like you're dreaming. Here's 1113 01:07:34,840 --> 01:07:37,320 Speaker 1: the threat of my favorites, and I'll just link off 1114 01:07:37,360 --> 01:07:40,439 Speaker 1: to that because these are great. Some of them are 1115 01:07:40,560 --> 01:07:44,360 Speaker 1: like works of art like that. It does feel like 1116 01:07:44,360 --> 01:07:47,160 Speaker 1: when you go into like one of those video installations 1117 01:07:47,160 --> 01:07:49,960 Speaker 1: at an art museum, like all of these would perfectly 1118 01:07:50,040 --> 01:07:54,160 Speaker 1: fit in there. Dude, the wonder, the guy walking into 1119 01:07:54,200 --> 01:07:58,760 Speaker 1: the foam garage, and the Conro O'Malley one is fucking 1120 01:07:58,880 --> 01:08:05,120 Speaker 1: genius with the dump truck nachos. Oh yeah, yeah, I think, yeah, yeah, 1121 01:08:05,160 --> 01:08:07,720 Speaker 1: that's Conor O'Malley's TikTok. But yeah, I think that's one 1122 01:08:07,720 --> 01:08:10,200 Speaker 1: of the first ones in that threat. Yeah, I think 1123 01:08:10,320 --> 01:08:13,200 Speaker 1: it is the first one. You can find that in 1124 01:08:13,280 --> 01:08:16,200 Speaker 1: the footnotes. You can find us on Twitter at daily 1125 01:08:16,240 --> 01:08:18,559 Speaker 1: as I Guys. We're at the Dailies like guys on Instagram. 1126 01:08:18,560 --> 01:08:20,719 Speaker 1: We have a Facebook fan page on the website Daily's 1127 01:08:20,760 --> 01:08:23,120 Speaker 1: like guys dot com where we post our episode the 1128 01:08:23,240 --> 01:08:26,200 Speaker 1: nur foot notes where we link off to the information 1129 01:08:26,200 --> 01:08:28,559 Speaker 1: that we talked about in today's episode, as well as 1130 01:08:28,560 --> 01:08:30,920 Speaker 1: a song that we think you might enjoy. Hey Miles 1131 01:08:30,880 --> 01:08:33,040 Speaker 1: with a song to we think people in my name day. Okay, 1132 01:08:33,160 --> 01:08:37,360 Speaker 1: let's take it to some German prague rock. Uh. This 1133 01:08:37,439 --> 01:08:42,320 Speaker 1: is from a group called Peacock, p Apostrophe Cock or 1134 01:08:42,479 --> 01:08:45,559 Speaker 1: p dot Com, depends on what streaming service you're using. 1135 01:08:45,840 --> 01:08:49,080 Speaker 1: This track is called Telephone Song and it's really good. 1136 01:08:49,080 --> 01:08:51,200 Speaker 1: And if like you like Can, if you know about 1137 01:08:51,240 --> 01:08:54,599 Speaker 1: that German progue rock band, it's like super funky. They 1138 01:08:54,600 --> 01:08:56,160 Speaker 1: do that song fighting and see that a lot of 1139 01:08:56,160 --> 01:08:58,519 Speaker 1: people are like into now it's like a lot of 1140 01:08:58,560 --> 01:09:01,599 Speaker 1: people describe this band is like being like a bit 1141 01:09:01,640 --> 01:09:05,040 Speaker 1: of that, but it's also getting a little more electronics, 1142 01:09:05,040 --> 01:09:07,040 Speaker 1: so maybe it's like Can on its way to a 1143 01:09:07,200 --> 01:09:10,479 Speaker 1: craft work show. But this song is like just really 1144 01:09:10,880 --> 01:09:12,880 Speaker 1: awesome to listen to and all this stuff is super cool. 1145 01:09:12,920 --> 01:09:15,200 Speaker 1: So if you just like funky music and from back 1146 01:09:15,200 --> 01:09:17,120 Speaker 1: in the day that you're like, was this made now? 1147 01:09:17,720 --> 01:09:20,400 Speaker 1: No it was not, But this is Bickcock with a 1148 01:09:20,520 --> 01:09:23,920 Speaker 1: telephone song. A uh, well, we will link off to 1149 01:09:23,960 --> 01:09:26,040 Speaker 1: that in the footnotes. The Daily Zy Guys the production 1150 01:09:26,080 --> 01:09:27,920 Speaker 1: of I Heart Radio. For more podcast from my heart 1151 01:09:28,000 --> 01:09:30,160 Speaker 1: Radio is the i heart Radio app Apple podcast or 1152 01:09:30,160 --> 01:09:32,800 Speaker 1: wherever you listen to your favorite shows. That's gonna do 1153 01:09:32,840 --> 01:09:34,680 Speaker 1: it for us this morning, back this afternoon to tell 1154 01:09:34,720 --> 01:09:37,519 Speaker 1: you what's trending, and we'll touch you about Bye bye,