1 00:00:00,280 --> 00:00:03,680 Speaker 1: Hello the Internet, and welcome to this episode of shrunk 2 00:00:03,800 --> 00:00:04,320 Speaker 1: trend Head. 3 00:00:04,440 --> 00:00:09,440 Speaker 2: Bob Boo from from Beetlejuice smiles. Yeah, I love that character. 4 00:00:09,760 --> 00:00:11,680 Speaker 2: I liked in the sequel. Well, I don't want to 5 00:00:11,840 --> 00:00:14,760 Speaker 2: it's not really a spoiler. Spoiler. There's the little shrunkenhead. Guys. 6 00:00:14,760 --> 00:00:17,840 Speaker 2: They're like his like friends, oh nice, or maybe like 7 00:00:17,920 --> 00:00:18,639 Speaker 2: minions now. 8 00:00:18,840 --> 00:00:22,439 Speaker 3: Yeah, or maybe like servants that probably want to be 9 00:00:22,480 --> 00:00:25,360 Speaker 3: freed from the shackles of being, you know, under the 10 00:00:25,360 --> 00:00:26,560 Speaker 3: spell of Beetlegeist. 11 00:00:26,600 --> 00:00:27,240 Speaker 2: But who knows. 12 00:00:27,320 --> 00:00:30,200 Speaker 3: It's really about colonialism in the end Beetle g Yeah, 13 00:00:30,360 --> 00:00:31,000 Speaker 3: a lot of ways. 14 00:00:32,000 --> 00:00:35,560 Speaker 1: My name is Jack O'Brien. That over there is Miles Bray. 15 00:00:35,600 --> 00:00:38,040 Speaker 1: This is the episode where we tell you a couple 16 00:00:38,040 --> 00:00:43,839 Speaker 1: of the things that are trending right now this very day, Tuesday, 17 00:00:43,920 --> 00:00:47,880 Speaker 1: October twenty second, twenty twenty four, and we are in person. 18 00:00:48,080 --> 00:00:51,800 Speaker 1: We're sitting next to each other holding hands, recording this podcast. 19 00:00:51,920 --> 00:00:54,560 Speaker 1: My hands are very sweaty. Yeah, Myles is doing a 20 00:00:54,560 --> 00:00:55,520 Speaker 1: good job dealing with it. 21 00:00:55,760 --> 00:01:01,200 Speaker 3: Well, I'm just dry heaving off mic. That's fine. We're 22 00:01:01,200 --> 00:01:04,840 Speaker 3: in New York. The big the big big Apple. Yeah, 23 00:01:05,120 --> 00:01:06,880 Speaker 3: the big construction. 24 00:01:06,480 --> 00:01:10,440 Speaker 2: Site is there's always scaffolding. There's always place. 25 00:01:10,319 --> 00:01:14,160 Speaker 1: You wake up and hear construction trucks backing up and 26 00:01:14,160 --> 00:01:14,680 Speaker 1: moving forward. 27 00:01:14,720 --> 00:01:17,520 Speaker 2: They just back up and move forward all day. Hey, 28 00:01:17,560 --> 00:01:18,280 Speaker 2: So what do you do, pal? 29 00:01:18,440 --> 00:01:21,120 Speaker 3: Yeah, I like to back this truck up every five minutes, 30 00:01:21,120 --> 00:01:21,720 Speaker 3: and I move it up. 31 00:01:21,760 --> 00:01:22,959 Speaker 2: I move it up about ten feet. 32 00:01:23,880 --> 00:01:26,440 Speaker 1: Bad hotel, Like, the hotels are really hit and miss 33 00:01:27,240 --> 00:01:29,720 Speaker 1: in my in my experience, it's because every. 34 00:01:29,680 --> 00:01:32,320 Speaker 3: Well, I mean, it's it's it's it's a perfect example 35 00:01:32,360 --> 00:01:37,639 Speaker 3: of America. It's either super expensive or kind of cheap 36 00:01:37,720 --> 00:01:38,400 Speaker 3: and awful. 37 00:01:38,600 --> 00:01:41,320 Speaker 2: Yeah, it ain't. It ain't home alone too out here 38 00:01:41,360 --> 00:01:45,320 Speaker 2: for all of us, you know. Yeah, in the Presidential suite. Yeah, man, 39 00:01:45,840 --> 00:01:49,800 Speaker 2: it's tiny. My room is teeny tiny. 40 00:01:49,840 --> 00:01:52,000 Speaker 3: Did you at least get like a ice cream Sunday 41 00:01:52,280 --> 00:01:56,560 Speaker 3: to your room service for Kevin McCall's mid friend with 42 00:01:56,600 --> 00:01:59,120 Speaker 3: the guy brought it up. Yeah, and you gave him 43 00:01:59,120 --> 00:02:02,760 Speaker 3: some fruit stripe gum as a tip. That's right, always, 44 00:02:02,800 --> 00:02:04,360 Speaker 3: always all right. 45 00:02:04,560 --> 00:02:08,600 Speaker 1: So it is that time of year when Google rips 46 00:02:08,680 --> 00:02:14,200 Speaker 1: us off and does the Google fright Geist, which is good. 47 00:02:14,320 --> 00:02:18,799 Speaker 1: It's good actually good for the brand popularizing zeit guys. Yeah, 48 00:02:18,840 --> 00:02:21,840 Speaker 1: also good for Google's brand to be associated with us obvious, 49 00:02:23,080 --> 00:02:25,880 Speaker 1: but yeah, freight geist is where they take a look 50 00:02:25,919 --> 00:02:29,480 Speaker 1: at their search data and say. 51 00:02:29,160 --> 00:02:32,000 Speaker 2: These are the costumes that are jumping out at us. 52 00:02:32,560 --> 00:02:34,800 Speaker 2: This is the list of the top. So in the 53 00:02:34,800 --> 00:02:38,720 Speaker 2: past they've done the top costumes overall. This year, they're 54 00:02:38,760 --> 00:02:42,720 Speaker 2: just giving us trending costumes miles. They have taken my 55 00:02:42,960 --> 00:02:47,200 Speaker 2: editorial feedback. They have, they have, they've so in all 56 00:02:47,200 --> 00:02:50,560 Speaker 2: those letters filled with mysterious powder, weren't for nothing you 57 00:02:50,639 --> 00:02:54,799 Speaker 2: sent to Google? Yeah, with my fingernail clipping and I dandriff. 58 00:02:56,040 --> 00:02:57,000 Speaker 2: Uh So. 59 00:02:57,760 --> 00:03:02,360 Speaker 3: The the thing what we've seen in the past is 60 00:03:02,400 --> 00:03:05,679 Speaker 3: that they were just printing whatever the machine gave them, 61 00:03:06,240 --> 00:03:09,799 Speaker 3: Like it would be like number one costume Superhero, number two, 62 00:03:09,919 --> 00:03:14,040 Speaker 3: Spider Man, number three, Spider Superhero. It was just like 63 00:03:14,240 --> 00:03:19,800 Speaker 3: Minion and Yellow pill Man. Couldn't you take a single 64 00:03:20,200 --> 00:03:21,440 Speaker 3: editorial pass over this? 65 00:03:22,160 --> 00:03:27,200 Speaker 1: And I'm proud to announce, I'm proud of Google that 66 00:03:27,400 --> 00:03:31,560 Speaker 1: they have taken what appears to be a single editorial 67 00:03:31,639 --> 00:03:37,560 Speaker 1: pass over their results. And it's a little more interesting 68 00:03:37,920 --> 00:03:38,760 Speaker 1: this time around. 69 00:03:39,120 --> 00:03:42,000 Speaker 3: Yeah, because before it would just be like Cape guy, 70 00:03:42,800 --> 00:03:46,040 Speaker 3: and now we're getting real things like number one, number one, 71 00:03:46,320 --> 00:03:49,720 Speaker 3: number one with a bullet. Are we really thinking this 72 00:03:49,760 --> 00:03:53,680 Speaker 3: is the number one costume. It's the number one trending costume. Sure, okay, 73 00:03:53,800 --> 00:03:55,760 Speaker 3: so I guess what we have to fucking revisit every 74 00:03:56,600 --> 00:03:57,240 Speaker 3: day to see. 75 00:03:57,320 --> 00:03:59,640 Speaker 1: They also give you a little summer so. Number one, 76 00:04:00,120 --> 00:04:03,040 Speaker 1: as the name of this episode suggests, is shrunken head Bob. 77 00:04:03,160 --> 00:04:05,840 Speaker 2: The Beetlejuice character shrunk and head Bob. Uh. 78 00:04:06,440 --> 00:04:12,000 Speaker 1: Their their summation of this is Beetlejuice shrunken Head is 79 00:04:12,040 --> 00:04:18,640 Speaker 1: the top search shrunken head of all time. Uh excuse me, who, motherfucker? 80 00:04:18,720 --> 00:04:21,320 Speaker 3: I want this list to reflect what I'm going to 81 00:04:21,400 --> 00:04:23,520 Speaker 3: see out in the streets, you know what I mean? 82 00:04:23,640 --> 00:04:25,599 Speaker 3: Not just I don't know. This is the most shrunken 83 00:04:25,640 --> 00:04:26,840 Speaker 3: head search thing ever. 84 00:04:28,040 --> 00:04:31,880 Speaker 1: Okay, that's a costume again, this this has to be 85 00:04:31,960 --> 00:04:33,000 Speaker 1: ai man like that. 86 00:04:33,200 --> 00:04:36,799 Speaker 3: No human thought that was an okay thing to put down. 87 00:04:37,160 --> 00:04:40,839 Speaker 3: Beetlejuice shrunken Head is the top search shrunken head of 88 00:04:40,920 --> 00:04:44,279 Speaker 3: all time. Therefore, it is the number one overall costume 89 00:04:44,320 --> 00:04:45,000 Speaker 3: for Halloween. 90 00:04:46,600 --> 00:04:48,839 Speaker 2: I'm surprised. Like, election shit isn't in here. 91 00:04:48,960 --> 00:04:53,160 Speaker 3: I know, Georgia Polling is the third most searched costume. 92 00:04:53,279 --> 00:04:55,280 Speaker 2: Like what huh? 93 00:04:55,520 --> 00:04:57,920 Speaker 1: So what else we got. We got ray Gun. That's 94 00:04:57,960 --> 00:04:59,839 Speaker 1: begs number two. I see more people do it meme 95 00:05:00,080 --> 00:05:04,120 Speaker 1: easy ray Gun. Of course the breakdancwer. I just assumed 96 00:05:04,160 --> 00:05:06,400 Speaker 1: it was like some anime character. I didn't know about 97 00:05:06,400 --> 00:05:09,640 Speaker 1: it first, But now ray Gun, uh, you know, probably 98 00:05:09,680 --> 00:05:14,120 Speaker 1: one of the top five characters from the Daily zeis 99 00:05:14,200 --> 00:05:14,480 Speaker 1: this year. 100 00:05:14,520 --> 00:05:17,560 Speaker 2: I would say, yeah, and James Carville. 101 00:05:17,520 --> 00:05:20,560 Speaker 1: And James Carville, we're gonna we're gonna get get into 102 00:05:20,600 --> 00:05:21,600 Speaker 1: it with that boy tomorrow. 103 00:05:21,880 --> 00:05:24,760 Speaker 2: James Carville not on this list. I don't think it's accurate. 104 00:05:24,839 --> 00:05:26,240 Speaker 2: It's being a suppress and censored. 105 00:05:26,760 --> 00:05:28,960 Speaker 1: I feel like you could just get a flesh tone 106 00:05:29,000 --> 00:05:32,919 Speaker 1: like one of those body like monochrome body suits, and 107 00:05:32,960 --> 00:05:35,440 Speaker 1: then you'd basically James James. 108 00:05:35,320 --> 00:05:37,440 Speaker 2: Yeah, yeah, call they put some beef jerky on it. 109 00:05:37,440 --> 00:05:39,760 Speaker 1: For There are some of these that make me feel 110 00:05:39,800 --> 00:05:43,920 Speaker 1: old as fuck, such as number three most trending costume Catnap. 111 00:05:43,960 --> 00:05:47,880 Speaker 1: A Catnap is the top search smiling critter of all time. 112 00:05:48,480 --> 00:05:52,080 Speaker 1: Hm hm again like that, nothing about like that. This 113 00:05:52,240 --> 00:05:54,839 Speaker 1: is the number one costumes are eating. 114 00:05:54,600 --> 00:05:57,320 Speaker 3: The sub headline. The more I'm convinced this is not 115 00:05:57,440 --> 00:06:01,039 Speaker 3: even close to what is a trending cast. It's merely 116 00:06:01,400 --> 00:06:05,080 Speaker 3: off of like why why isn't like Cat Knapp costume? 117 00:06:05,279 --> 00:06:07,159 Speaker 1: Yes, you know what I mean, just yes, some of 118 00:06:07,200 --> 00:06:10,160 Speaker 1: them do. Say that Lady Deadpool costume became a breakout 119 00:06:10,200 --> 00:06:12,720 Speaker 1: search the day that Deadpool and Wolverine was released in 120 00:06:12,880 --> 00:06:15,720 Speaker 1: US theaters. That makes sense, that's what we're looking for here. 121 00:06:16,000 --> 00:06:18,320 Speaker 1: Part Corsett is being searched more than ever in twenty 122 00:06:18,360 --> 00:06:21,320 Speaker 1: twenty four, and Sabrina Carpenter is the top person searched 123 00:06:21,320 --> 00:06:24,200 Speaker 1: with it. Yes, that makes sense. Sabrina Carpenter is going 124 00:06:24,279 --> 00:06:27,200 Speaker 1: to There's gonna be some Sabrina Carpenter costumes out there. 125 00:06:27,480 --> 00:06:30,560 Speaker 2: But like Chipotle. 126 00:06:30,240 --> 00:06:33,279 Speaker 3: Burrito, it just says New Hampshire and Alaska are the 127 00:06:33,279 --> 00:06:36,760 Speaker 3: only state searching Chipotle Burrito over Chipotle Bowl in the 128 00:06:36,839 --> 00:06:37,600 Speaker 3: last five years. 129 00:06:37,600 --> 00:06:41,080 Speaker 2: That's just the fact about searching for Chipotle dishes. What 130 00:06:41,160 --> 00:06:42,720 Speaker 2: the fucks you have to do with the costume? 131 00:06:43,240 --> 00:06:46,919 Speaker 3: Like again, now you're getting some anger from I'm not 132 00:06:47,000 --> 00:06:48,599 Speaker 3: I'm pissed again. 133 00:06:48,680 --> 00:06:49,520 Speaker 2: They fucked up. 134 00:06:49,680 --> 00:06:53,120 Speaker 1: I gave them one simple trick to get people to 135 00:06:53,360 --> 00:06:55,680 Speaker 1: like your freitgeist and they fucked up. 136 00:06:55,720 --> 00:06:58,359 Speaker 3: And I'm using Selson Blue so I don't have you 137 00:06:58,400 --> 00:07:00,320 Speaker 3: know the Dann driff like I used to sell and 138 00:07:00,400 --> 00:07:02,880 Speaker 3: nondescript envelopes to them in a menacing manner. 139 00:07:02,920 --> 00:07:04,360 Speaker 2: So we're gonna we're kind of out and have to 140 00:07:04,400 --> 00:07:04,800 Speaker 2: take it up. 141 00:07:05,760 --> 00:07:08,520 Speaker 3: Like Wolverine, I get anything from these movies that have 142 00:07:08,560 --> 00:07:10,480 Speaker 3: come out or like things that have happened like at 143 00:07:10,480 --> 00:07:12,960 Speaker 3: the Olympics. I totally am like, Okay, reygun makes sense. 144 00:07:13,000 --> 00:07:15,560 Speaker 3: I've seen people already getting their raygun shit together. I've 145 00:07:15,560 --> 00:07:19,320 Speaker 3: seen Deadpool Wolverine couple costumes. Yeah, that one makes that 146 00:07:19,560 --> 00:07:22,320 Speaker 3: the stuff from inside out totally. They are like five 147 00:07:22,800 --> 00:07:25,440 Speaker 3: Beetlejuice Beetlejuice reference. 148 00:07:25,240 --> 00:07:26,360 Speaker 2: Like Delia Deaths. 149 00:07:27,240 --> 00:07:32,280 Speaker 1: They've also got Dolorous from Beetlejuice. Yeah, which was. 150 00:07:32,840 --> 00:07:35,600 Speaker 3: Monica Balucci's character, which was kind of like a weak 151 00:07:35,640 --> 00:07:37,320 Speaker 3: ass character in the movie. I don't know why the 152 00:07:37,320 --> 00:07:38,920 Speaker 3: fuck people like, I mean, I get it because it's 153 00:07:38,920 --> 00:07:41,720 Speaker 3: like you could be hot with staples in your face. 154 00:07:41,880 --> 00:07:44,640 Speaker 2: Oh yeah, and then you're Monica Balucci from Beetlejuice Beetle 155 00:07:44,680 --> 00:07:47,320 Speaker 2: Juice and down a number twenty three hot staple face. 156 00:07:47,960 --> 00:07:54,160 Speaker 3: Uh the is Lydia deets Lydia's uh what noa ryder? 157 00:07:54,400 --> 00:07:57,320 Speaker 1: Yeah, we got Delia Deeps, We got Lydia Deeths so 158 00:07:57,640 --> 00:08:00,680 Speaker 1: Beetle Juice. Beetlejuice has four characters in the time twenty five, 159 00:08:01,120 --> 00:08:02,760 Speaker 1: whereas number eighteen. 160 00:08:02,920 --> 00:08:07,760 Speaker 2: Uh huh Dune Dune, Just Dune. Who are you for Halloween? Dune, Dune? 161 00:08:09,160 --> 00:08:12,560 Speaker 2: What's your costume? It's Dune, man. I'm just I'm just 162 00:08:12,600 --> 00:08:15,440 Speaker 2: fucking a bucket popcorn. It does. 163 00:08:15,880 --> 00:08:18,680 Speaker 1: Over the past year, the top searched popcorn bucket was 164 00:08:18,720 --> 00:08:21,960 Speaker 1: for Dune. That tells me absolutely nothing about what we're 165 00:08:21,960 --> 00:08:24,200 Speaker 1: here to talk about. Yeah, you motherfuckers. 166 00:08:24,240 --> 00:08:26,000 Speaker 2: I feel like also, I feel like they did this 167 00:08:26,080 --> 00:08:28,200 Speaker 2: to spite us. Well, yeah, I think they read our 168 00:08:28,280 --> 00:08:29,960 Speaker 2: letters and we're like, look at these assholes. 169 00:08:30,000 --> 00:08:32,800 Speaker 3: See, I'm gonna show my therapist because I'm telling you, 170 00:08:32,920 --> 00:08:37,000 Speaker 3: I told her they're trying to piss me off, me specifically, 171 00:08:37,200 --> 00:08:39,319 Speaker 3: and I know it's not just some kind of error, 172 00:08:39,400 --> 00:08:42,520 Speaker 3: It's targeted at me. The other one that is really 173 00:08:42,600 --> 00:08:44,640 Speaker 3: freaking me out. Number twenty four. 174 00:08:45,200 --> 00:08:49,160 Speaker 2: Just under the Wire Soldier Boy, Solja Boy as in 175 00:08:49,280 --> 00:08:51,880 Speaker 2: Crank That Soldier Boys Superman. 176 00:08:51,480 --> 00:08:55,000 Speaker 3: That Now Wap Me You You is number twenty four, 177 00:08:55,160 --> 00:08:57,240 Speaker 3: a song that when I hear it, I still like 178 00:08:57,320 --> 00:08:58,800 Speaker 3: it every fucking time. 179 00:08:59,000 --> 00:09:05,480 Speaker 2: I'm just like, God damn the song. It just gets 180 00:09:05,480 --> 00:09:06,200 Speaker 2: everybody going. 181 00:09:06,480 --> 00:09:08,480 Speaker 3: The thing that freaks about is when you search it though, 182 00:09:08,480 --> 00:09:09,439 Speaker 3: it's all these like white. 183 00:09:09,280 --> 00:09:10,920 Speaker 2: White girls and the Soldier boys. 184 00:09:12,679 --> 00:09:16,040 Speaker 3: And doing a very bad job of cranking that. Oh no, yeah, 185 00:09:16,240 --> 00:09:17,280 Speaker 3: they're cranking my chain. 186 00:09:17,679 --> 00:09:18,840 Speaker 2: You know what I'm saying. The dancing. 187 00:09:18,920 --> 00:09:22,840 Speaker 1: I'm gonna that you're gonna be so good at giving 188 00:09:22,840 --> 00:09:24,880 Speaker 1: out candy when people are dressed as Soldier Boy and 189 00:09:24,880 --> 00:09:27,000 Speaker 1: you say you must be cranking my chain. 190 00:09:27,280 --> 00:09:30,080 Speaker 2: If that costs with this, I can't get jiggy with that. 191 00:09:30,120 --> 00:09:30,640 Speaker 2: Google does. 192 00:09:34,080 --> 00:09:37,000 Speaker 1: Google does helpfully tell us crank that is Soldier Boy's 193 00:09:37,080 --> 00:09:40,200 Speaker 1: most searched song of all time. That tells me nothing, Google, 194 00:09:40,280 --> 00:09:43,520 Speaker 1: Yeah that not only is that unrelated. 195 00:09:42,920 --> 00:09:47,400 Speaker 2: To this, it's also so fucking obvious. Yeah we do. 196 00:09:47,559 --> 00:09:48,440 Speaker 2: That was their number one. 197 00:09:48,480 --> 00:09:51,400 Speaker 3: Soldier Boy is known for the song cranked that. Uh 198 00:09:51,480 --> 00:09:52,439 Speaker 3: huh what else? 199 00:09:52,679 --> 00:09:52,959 Speaker 2: Now? 200 00:09:53,360 --> 00:09:55,280 Speaker 3: The other part, though, the other thing I do get 201 00:09:55,320 --> 00:09:57,839 Speaker 3: Gambit is number seventeen. I think with X Men ninety 202 00:09:57,840 --> 00:10:00,320 Speaker 3: seven coming back, that's a huge I think that's it. 203 00:10:00,360 --> 00:10:03,160 Speaker 3: That was that was big for us Gambit fans. Although 204 00:10:03,200 --> 00:10:06,240 Speaker 3: that's another hard ass costume to pull off. He got 205 00:10:06,280 --> 00:10:09,480 Speaker 3: like a fucking like he has like a half a 206 00:10:09,520 --> 00:10:11,840 Speaker 3: shisty with the top of the hair gone with like 207 00:10:11,880 --> 00:10:13,000 Speaker 3: a metallic headset. 208 00:10:13,840 --> 00:10:15,120 Speaker 2: Not everybody can dress like that. 209 00:10:15,960 --> 00:10:17,839 Speaker 1: How you getting a shrunk and head bob costume? I 210 00:10:17,880 --> 00:10:19,400 Speaker 1: got to take a look at what they're What people 211 00:10:19,400 --> 00:10:21,000 Speaker 1: are pulling on extensive. 212 00:10:20,640 --> 00:10:21,319 Speaker 2: Is a shrunken head. 213 00:10:21,360 --> 00:10:25,880 Speaker 3: Yeah, that feels very like high level of difficulty. Yeah, no, no, no, 214 00:10:25,920 --> 00:10:28,200 Speaker 3: that people, this is this is nonsense. I do like 215 00:10:28,240 --> 00:10:31,240 Speaker 3: this spooky thing, but they've added new categories like party 216 00:10:31,320 --> 00:10:32,959 Speaker 3: themes or spooky food. 217 00:10:33,080 --> 00:10:34,200 Speaker 2: Yeah, what are we looking at all? Right? 218 00:10:34,280 --> 00:10:36,400 Speaker 1: Party theme number one miles, You're never going to guess 219 00:10:36,400 --> 00:10:40,160 Speaker 1: this based on the last list. Oh and we have 220 00:10:40,200 --> 00:10:41,760 Speaker 1: said it three times, so we're fucked. 221 00:10:42,080 --> 00:10:45,640 Speaker 2: Oh no, mystery. I like that. 222 00:10:45,720 --> 00:10:50,760 Speaker 1: I love this holiday party theme. Skeleton. That's a that's 223 00:10:51,320 --> 00:10:56,199 Speaker 1: scale party, just scales. Yeah, what is it? 224 00:10:56,960 --> 00:11:00,679 Speaker 3: Look like they've been smoked up for three days smoking masquerade? 225 00:11:01,400 --> 00:11:05,360 Speaker 3: Masquerade isn't inherently a costume party. Some kind of masquerade 226 00:11:05,400 --> 00:11:07,160 Speaker 3: I know what they're talking about, though, like the fancy 227 00:11:07,200 --> 00:11:08,720 Speaker 3: ones where you have like a little stick. 228 00:11:08,960 --> 00:11:11,600 Speaker 2: Have you been invited to a masquerade party? I've been 229 00:11:11,640 --> 00:11:15,400 Speaker 2: to a gala for which was mass isn't that the 230 00:11:15,440 --> 00:11:17,720 Speaker 2: one Jeffrey Eperstein invited you to? He was there? 231 00:11:18,320 --> 00:11:21,840 Speaker 1: I don't know that he was his party, right, Yeah? No, 232 00:11:22,120 --> 00:11:24,520 Speaker 1: so his girl invited me. 233 00:11:24,600 --> 00:11:27,320 Speaker 3: Wait, isn't that like the like the ceramic masks and 234 00:11:27,320 --> 00:11:30,000 Speaker 3: ship basically? Yeah, come on, it's just like something. It's 235 00:11:30,040 --> 00:11:33,640 Speaker 3: like a little kitty cool fundraiser favorite Alice in Wonderland makes. 236 00:11:33,640 --> 00:11:37,080 Speaker 3: At least that's like a whole vibe nineties this one. 237 00:11:37,120 --> 00:11:40,400 Speaker 3: I do believe nineties because we've that fucking that loop 238 00:11:40,440 --> 00:11:46,800 Speaker 3: has certainly come back into into popularity focus. Yeah, Monster Mash, Yeah, 239 00:11:46,840 --> 00:11:50,200 Speaker 3: that's kind of fun. What is a Monster Mash theme party? 240 00:11:50,320 --> 00:11:52,240 Speaker 1: I guess it would be you'd have like wolf Man's, 241 00:11:52,280 --> 00:11:54,560 Speaker 1: like all the characters from the Monster Mash, or you 242 00:11:54,679 --> 00:12:01,760 Speaker 1: just inviting Shout out to Nick Wikers annual appearance on 243 00:12:01,840 --> 00:12:04,360 Speaker 1: comedy bang Bag. Have you ever heard that he does 244 00:12:04,400 --> 00:12:09,040 Speaker 1: a he does a remake of the Monster Mash that horribly. 245 00:12:10,360 --> 00:12:14,920 Speaker 3: Horribly pornographic. Well, I'm looking at the Mummy. The foods 246 00:12:15,160 --> 00:12:19,280 Speaker 3: Number one is mummy hot dogs. What is a is again? 247 00:12:19,679 --> 00:12:23,480 Speaker 3: Is this a real thing? What is a mummy hot dog? Oh? Okay, 248 00:12:23,559 --> 00:12:25,520 Speaker 3: so you take a hot dog and you just put 249 00:12:25,520 --> 00:12:27,800 Speaker 3: a bunch of dough around it like it's a mummy. 250 00:12:27,960 --> 00:12:30,040 Speaker 1: That's okay, that looks that sounds like a lot of 251 00:12:30,080 --> 00:12:31,880 Speaker 1: fucking work. Sounds like a lot of work and it sucks. 252 00:12:32,720 --> 00:12:34,680 Speaker 1: This is how I know this list is bullshit though. 253 00:12:34,960 --> 00:12:38,800 Speaker 1: Party theme number seven Scream. 254 00:12:38,120 --> 00:12:43,240 Speaker 3: Ah yes, why yeah? How because you're Nev Campbell. Oh 255 00:12:43,320 --> 00:12:45,480 Speaker 3: so you go as Nev Camble. Don't just wear like 256 00:12:45,600 --> 00:12:49,400 Speaker 3: low rise jeans. I'll wear my little short like blonde 257 00:12:49,480 --> 00:12:51,000 Speaker 3: bob wig and I'll be Drew Barrymore. 258 00:12:52,679 --> 00:12:55,320 Speaker 1: Yeah, because I feel like there's only one costume for Scream. 259 00:12:55,559 --> 00:12:58,120 Speaker 1: You just have a bunch of walking around. 260 00:12:58,160 --> 00:12:58,360 Speaker 2: Yeah. 261 00:12:58,400 --> 00:13:02,280 Speaker 1: Yeah, yeah, that sounds like a shitty party theme. Man, well, Google, 262 00:13:02,679 --> 00:13:05,720 Speaker 1: you fucked it up again. You're this close Google d 263 00:13:05,880 --> 00:13:08,560 Speaker 1: minus instead of an F this time because you like 264 00:13:08,880 --> 00:13:10,960 Speaker 1: at least head fake. You made a head fake like 265 00:13:11,000 --> 00:13:16,400 Speaker 1: you're gonna actually try. Yeah, Dune, dude, this is so funny. 266 00:13:16,520 --> 00:13:18,760 Speaker 2: I'm Dune costumes. 267 00:13:18,800 --> 00:13:21,280 Speaker 3: It's probably costumes for like dads who are trying to 268 00:13:21,400 --> 00:13:22,880 Speaker 3: find common ground or don't know anything. 269 00:13:22,880 --> 00:13:26,040 Speaker 2: It's like, hey, I'm Dune, may do you get it? 270 00:13:26,040 --> 00:13:29,840 Speaker 3: But just have like the breathing tube in the nose. 271 00:13:30,320 --> 00:13:33,640 Speaker 3: It's like, isn't that Grandma's oxygen? You to get that 272 00:13:33,640 --> 00:13:35,959 Speaker 3: shipp back to her? And what the fuck is what's 273 00:13:36,040 --> 00:13:37,760 Speaker 3: up with your eyes? He's like, I put blue ink 274 00:13:37,800 --> 00:13:38,400 Speaker 3: in them? 275 00:13:38,720 --> 00:13:40,719 Speaker 2: Is it cool? I'm like, I don't know. I'd be 276 00:13:40,720 --> 00:13:42,880 Speaker 2: worried about chasing the wrong way. 277 00:13:44,880 --> 00:13:49,320 Speaker 3: All right, nice kitty, All right, let's take a quick 278 00:13:49,360 --> 00:13:50,880 Speaker 3: break and we'll be right back. 279 00:14:00,840 --> 00:14:03,560 Speaker 2: And we're back. We're back, We're. 280 00:14:03,360 --> 00:14:05,840 Speaker 1: Back, and we'll get a little bit more into the 281 00:14:05,880 --> 00:14:10,400 Speaker 1: polar coaster tomorrow. I think we're all anyone with bad 282 00:14:10,480 --> 00:14:13,920 Speaker 1: media consumption habits, like myself. You might be freaking out 283 00:14:13,960 --> 00:14:16,400 Speaker 1: a little bit about the polls. You know, now Trump's 284 00:14:16,400 --> 00:14:19,080 Speaker 1: got a fifty one percent chance of winning instead of 285 00:14:19,320 --> 00:14:21,440 Speaker 1: Kamala have fifty one percent last time. 286 00:14:22,440 --> 00:14:27,640 Speaker 2: But the most easily manipulated audience, for sure. Yeah that 287 00:14:27,760 --> 00:14:31,280 Speaker 2: is I got a check back. I got a check back. 288 00:14:31,320 --> 00:14:33,120 Speaker 1: I am just holding my hands up in the air 289 00:14:33,240 --> 00:14:37,240 Speaker 1: for the next month. But there's been a lot of 290 00:14:37,280 --> 00:14:41,239 Speaker 1: two weeks. Also, remember that two weeks. 291 00:14:41,720 --> 00:14:42,800 Speaker 2: There's been a lot of talk. 292 00:14:42,880 --> 00:14:45,360 Speaker 1: In addition to the polls, people are like, actually, the 293 00:14:45,440 --> 00:14:51,480 Speaker 1: really good predictive factor is polymarkets, which sounds like an 294 00:14:51,520 --> 00:14:55,800 Speaker 1: investment firm for people in open relationships, but is actually 295 00:14:55,960 --> 00:15:00,560 Speaker 1: a blockchain based prediction market that utilizes the state coin 296 00:15:01,040 --> 00:15:06,600 Speaker 1: USDC for trading. Okay, all right, cool, and that all 297 00:15:06,600 --> 00:15:08,880 Speaker 1: made sense to me and went into my brain and 298 00:15:08,960 --> 00:15:10,160 Speaker 1: my brain knew what to do with it. 299 00:15:10,280 --> 00:15:10,560 Speaker 2: Yep. 300 00:15:11,040 --> 00:15:14,120 Speaker 1: It's a crypto betting market, but in addition to sports, 301 00:15:14,200 --> 00:15:17,920 Speaker 1: you can bet on almost anything. One of the hot 302 00:15:18,280 --> 00:15:21,560 Speaker 1: items right now that people are wagering on as whether 303 00:15:21,680 --> 00:15:24,600 Speaker 1: or not RFK Junior and Cheryl Hines will divorce by 304 00:15:24,600 --> 00:15:25,880 Speaker 1: the end of twenty twenty four. 305 00:15:26,120 --> 00:15:31,800 Speaker 2: Ah, that's yeah, that's that's an interesting one. Yeah, I can. 306 00:15:31,960 --> 00:15:34,560 Speaker 3: I would first say no because she's already been through 307 00:15:34,560 --> 00:15:36,360 Speaker 3: so much shit, but now the stuff where it's like 308 00:15:36,440 --> 00:15:39,280 Speaker 3: he wanted to impregnate that journalist, Yeah, some owner shit 309 00:15:39,400 --> 00:15:42,080 Speaker 3: like that. I'm like, Cheryl, Yeah, how much can you take? 310 00:15:42,640 --> 00:15:45,400 Speaker 3: Divorces take a long time, though. I feel like, you know, 311 00:15:45,920 --> 00:15:48,480 Speaker 3: divorced by twenty twenty four yea, yeah, I don't know. 312 00:15:49,040 --> 00:15:52,480 Speaker 2: Like, if it's announced that they're splitting, maybe. 313 00:15:52,200 --> 00:15:53,720 Speaker 3: But then the fine print is like no, when the 314 00:15:53,760 --> 00:15:55,760 Speaker 3: actual divorce is actually the settlement. 315 00:15:55,400 --> 00:15:57,840 Speaker 2: Is happening, Like I feel like there's a lot of. 316 00:15:57,840 --> 00:16:01,400 Speaker 1: I mean, and that would be the problem with a 317 00:16:01,480 --> 00:16:03,880 Speaker 1: betting market that is all focused on. 318 00:16:04,440 --> 00:16:06,640 Speaker 2: Day to day life is it's like, first of all, 319 00:16:06,680 --> 00:16:07,240 Speaker 2: it's messy. 320 00:16:07,800 --> 00:16:10,960 Speaker 1: Second of all, it turns everybody into those creepy mask 321 00:16:11,000 --> 00:16:17,720 Speaker 1: guy orgies from squig game. Yeah and yeah, So the 322 00:16:18,160 --> 00:16:21,840 Speaker 1: obviously the most popular betting market. It involves predicting the 323 00:16:21,840 --> 00:16:25,440 Speaker 1: outcome of the twenty twenty four presidential election. And Trump 324 00:16:25,480 --> 00:16:31,360 Speaker 1: supporters have been very excited to report that been the 325 00:16:31,400 --> 00:16:34,920 Speaker 1: poly markets. With the poly market, pol markets are saying 326 00:16:35,200 --> 00:16:40,280 Speaker 1: this thing, Trump is going to win, laughing, He's now 327 00:16:40,760 --> 00:16:43,800 Speaker 1: has a sixty four percent chance of winning. Kamala Harris 328 00:16:43,920 --> 00:16:45,680 Speaker 1: is a thirty six percent chance of winning. 329 00:16:45,800 --> 00:16:49,440 Speaker 3: Uh huh so And why wouldn't you bet big if 330 00:16:49,440 --> 00:16:52,960 Speaker 3: you're probably over leveraged in crypto and hoping that the 331 00:16:53,000 --> 00:16:56,440 Speaker 3: Trump administration will bring like a financial boon to you. 332 00:16:57,200 --> 00:17:00,640 Speaker 3: And also this is the thing, this just reeks of 333 00:17:00,680 --> 00:17:04,800 Speaker 3: like another pole manipulation kind of thing to create the perception. 334 00:17:04,920 --> 00:17:06,640 Speaker 3: Just like with the Red Wave, it was a lot 335 00:17:06,680 --> 00:17:08,960 Speaker 3: of partisan shit that was getting people like being like 336 00:17:09,400 --> 00:17:12,399 Speaker 3: the Red Waves did full the betting market, Yeah, like 337 00:17:12,440 --> 00:17:14,760 Speaker 3: that they were like blake masters is a shoe in 338 00:17:15,119 --> 00:17:18,280 Speaker 3: and he like having like literally no support. Yeah, it 339 00:17:18,280 --> 00:17:20,880 Speaker 3: was actually a red wedding, right, which is what happened. 340 00:17:20,920 --> 00:17:23,000 Speaker 3: And I know the wave and a wedding are so 341 00:17:23,200 --> 00:17:24,720 Speaker 3: close they start with the same letter. 342 00:17:24,800 --> 00:17:26,200 Speaker 2: But no, no. 343 00:17:26,680 --> 00:17:30,080 Speaker 1: The company literally suggests that you should bet on your beliefs. 344 00:17:30,320 --> 00:17:33,000 Speaker 2: So it's not even saying like fuck is that? 345 00:17:33,320 --> 00:17:35,200 Speaker 1: Yeah, which, by the way, what one of them is 346 00:17:35,240 --> 00:17:38,000 Speaker 1: whether or not Kamala Harris ever worked at McDonald's. 347 00:17:38,000 --> 00:17:39,520 Speaker 2: They have like a market for that. 348 00:17:40,200 --> 00:17:45,480 Speaker 1: But so Polymarket did hire Nate Silver back in July. Wow, 349 00:17:46,080 --> 00:17:49,119 Speaker 1: So they're trying to you know, pull in all the people. 350 00:17:49,720 --> 00:17:53,959 Speaker 3: Yeah, I think again, this that that whole thing reeks 351 00:17:53,960 --> 00:17:56,560 Speaker 3: of everything else the up is doing to get people 352 00:17:56,720 --> 00:18:00,439 Speaker 3: primed to say this was stolen exactly the event that 353 00:18:00,480 --> 00:18:01,680 Speaker 3: Donald Trump doesn't win. 354 00:18:02,040 --> 00:18:03,639 Speaker 2: Yeah, you have all this stuff. 355 00:18:03,359 --> 00:18:05,400 Speaker 3: For people going to well, look, I mean we had this, 356 00:18:05,920 --> 00:18:08,159 Speaker 3: it was in the bag for this thing, right, we 357 00:18:08,200 --> 00:18:10,600 Speaker 3: had all the we had all the momentum in this state. 358 00:18:10,840 --> 00:18:14,160 Speaker 3: Because they're already doing the thing where if like something 359 00:18:14,200 --> 00:18:16,119 Speaker 3: happens in Pennsylvania. 360 00:18:15,440 --> 00:18:19,200 Speaker 2: Where on election Day it's like, oh Trump's. 361 00:18:18,800 --> 00:18:22,320 Speaker 3: Winning and they're like they haven't counted the absentee ballots, asshole. 362 00:18:22,080 --> 00:18:24,040 Speaker 2: Right, right, and then and then it swings it the 363 00:18:24,080 --> 00:18:24,480 Speaker 2: other way. 364 00:18:25,200 --> 00:18:26,879 Speaker 3: They're like a lot of the people who are like 365 00:18:26,920 --> 00:18:29,480 Speaker 3: observing the sort of like fuckery about the election, like 366 00:18:29,480 --> 00:18:32,400 Speaker 3: they're priming people again for it's gonna be some absentee 367 00:18:32,440 --> 00:18:35,560 Speaker 3: ballot swings to be like this is bullshit, this is stolen. 368 00:18:36,000 --> 00:18:38,919 Speaker 3: I just put seventy thousand dollars in the poly market 369 00:18:39,280 --> 00:18:39,720 Speaker 3: for this. 370 00:18:39,760 --> 00:18:41,400 Speaker 2: Right, fuck yeah. 371 00:18:41,400 --> 00:18:44,920 Speaker 1: I mean so, Trump's position in the market, like the 372 00:18:45,440 --> 00:18:50,480 Speaker 1: his percentage chance of winning skyrocketed when Elon Musk started 373 00:18:50,520 --> 00:18:54,160 Speaker 1: pointing to Trump's polymarket lead as a more accurate representation 374 00:18:54,240 --> 00:18:57,719 Speaker 1: of the race, and it had absolutely nothing tied to 375 00:18:58,480 --> 00:19:02,399 Speaker 1: polling or the real world. It was just basically he said, 376 00:19:02,520 --> 00:19:06,119 Speaker 1: he's leading the prediction markets and those actually matter. And suddenly, 377 00:19:06,560 --> 00:19:09,200 Speaker 1: you know, the people who follow Elon Musk and Donald 378 00:19:09,240 --> 00:19:13,320 Speaker 1: Trump started paying attention to the poly markets and it 379 00:19:13,600 --> 00:19:20,040 Speaker 1: fucking blew up. It's also backed by Peter Teel. Interestingly, 380 00:19:20,240 --> 00:19:25,440 Speaker 1: Peter Teal was heavily involved in Blake. Like Blake Masters 381 00:19:25,520 --> 00:19:28,399 Speaker 1: was just like Peter Teel's like errand boy for a 382 00:19:28,440 --> 00:19:31,320 Speaker 1: long time, right, and like that's the only reason Blake 383 00:19:31,400 --> 00:19:34,080 Speaker 1: Masters was a political candidate was because he was in 384 00:19:34,160 --> 00:19:37,000 Speaker 1: with Peter Teel, and Peter Teel decided to like, you know, 385 00:19:37,520 --> 00:19:43,960 Speaker 1: just create from whole cloth a political candidate. And he 386 00:19:44,119 --> 00:19:47,679 Speaker 1: was performing well in the batting markets and people were like, 387 00:19:47,720 --> 00:19:50,480 Speaker 1: I think this kid might do it. And then it 388 00:19:50,600 --> 00:19:56,480 Speaker 1: turns out because of things like him being a physical 389 00:19:56,640 --> 00:20:00,400 Speaker 1: void of charisma, it did. It didn't go so well 390 00:20:00,400 --> 00:20:05,679 Speaker 1: for him in the actual election. Yeah, so I don't know. 391 00:20:06,160 --> 00:20:10,160 Speaker 1: Our writer JM is pointing out that like these public 392 00:20:10,400 --> 00:20:14,080 Speaker 1: betting markets on elections have existed over much of US history. 393 00:20:14,119 --> 00:20:17,200 Speaker 1: They're like technically illegal right now, but these are able 394 00:20:17,200 --> 00:20:21,040 Speaker 1: to function because they're like overseas and the interneticut. But 395 00:20:21,200 --> 00:20:24,160 Speaker 1: they actually go back to the election of George Washington, 396 00:20:24,359 --> 00:20:26,280 Speaker 1: there were like a lot of people gambling on that 397 00:20:26,880 --> 00:20:32,040 Speaker 1: and they were originally made illegal because they can actually 398 00:20:32,359 --> 00:20:33,960 Speaker 1: sway elections. 399 00:20:34,080 --> 00:20:34,560 Speaker 2: I love that. 400 00:20:34,680 --> 00:20:37,600 Speaker 3: I love that, And I think along with that, there's 401 00:20:37,720 --> 00:20:40,840 Speaker 3: this other thing that's the trending story about how people 402 00:20:40,880 --> 00:20:43,760 Speaker 3: that were hired by America Pack, which is the pack 403 00:20:43,840 --> 00:20:48,840 Speaker 3: that Elon Musk from US. Yeah, that canvassers are using 404 00:20:48,960 --> 00:20:54,320 Speaker 3: apps to just avoid door knocking. So right, this one 405 00:20:54,359 --> 00:20:58,840 Speaker 3: canvassor was hired by the pack posted a video online 406 00:20:58,440 --> 00:21:02,359 Speaker 3: outlining how to use GPS spoofing to make it seem 407 00:21:02,440 --> 00:21:05,040 Speaker 3: as if they're doing the work of going out to 408 00:21:05,200 --> 00:21:09,040 Speaker 3: turn out the door. Yeah, and like going like house 409 00:21:09,080 --> 00:21:11,359 Speaker 3: to house when it's like but the thing is, you 410 00:21:11,359 --> 00:21:13,879 Speaker 3: can do this and claim the money, uh, and you 411 00:21:13,880 --> 00:21:15,840 Speaker 3: don't have to do a single thing. He also has 412 00:21:15,920 --> 00:21:18,640 Speaker 3: tips as to like how to do it like slowly 413 00:21:18,760 --> 00:21:21,800 Speaker 3: enough so it doesn't look shady to whoever's like supervising. 414 00:21:22,119 --> 00:21:25,920 Speaker 3: This guy is devouring block after blocking matter of minutes, like, oh, 415 00:21:26,000 --> 00:21:26,879 Speaker 3: call the Pentagon. 416 00:21:26,960 --> 00:21:28,960 Speaker 2: I think I think it's soldier boy. 417 00:21:30,000 --> 00:21:31,800 Speaker 3: But yeah, so I think now this is like a 418 00:21:31,880 --> 00:21:35,440 Speaker 3: huge thing that calls into question, like how many people 419 00:21:35,480 --> 00:21:37,840 Speaker 3: are they actually reaching if you have people because these 420 00:21:37,880 --> 00:21:40,000 Speaker 3: are all paid canvassers. A lot of the time in 421 00:21:40,040 --> 00:21:44,480 Speaker 3: a traditional campaign you have volunteers. And I've worked on 422 00:21:44,560 --> 00:21:47,840 Speaker 3: campaigns where you pay canvassers or people to gather signatures 423 00:21:48,160 --> 00:21:50,520 Speaker 3: a lot of the time. When it's there's it's usually 424 00:21:50,520 --> 00:21:52,720 Speaker 3: not tied to like a quota. Yeah, they're just out 425 00:21:52,720 --> 00:21:53,840 Speaker 3: there and be like, oh, yeah, I did the work. 426 00:21:53,840 --> 00:21:54,760 Speaker 2: I can only get this much. 427 00:21:54,840 --> 00:21:57,560 Speaker 3: Let me have my check now, which makes sense because like, 428 00:21:57,560 --> 00:21:59,040 Speaker 3: if you don't believe in it or give a fuck 429 00:21:59,080 --> 00:22:01,040 Speaker 3: about it, then what incentive do you have to go 430 00:22:01,119 --> 00:22:03,199 Speaker 3: through with it? So I think with this, like a 431 00:22:03,200 --> 00:22:05,159 Speaker 3: lot of people are like, yeah, man, they're paying us, 432 00:22:05,200 --> 00:22:08,320 Speaker 3: and like, also there, our whole economy is a scam, 433 00:22:08,400 --> 00:22:10,320 Speaker 3: So why don't just scam these fucking people too and. 434 00:22:10,320 --> 00:22:13,159 Speaker 2: Just say I door knocked. Yeah. But this is the 435 00:22:13,160 --> 00:22:13,640 Speaker 2: other thing too. 436 00:22:13,640 --> 00:22:17,240 Speaker 3: We talked about I think on Monday, how America pack 437 00:22:17,800 --> 00:22:21,160 Speaker 3: is actually most of the Trump campaigns like ground Game, 438 00:22:21,880 --> 00:22:23,720 Speaker 3: the yeah. 439 00:22:23,560 --> 00:22:26,200 Speaker 1: The one that just buys so Facebook ads that are 440 00:22:26,280 --> 00:22:28,320 Speaker 1: just screen caps of Elon Musk. 441 00:22:28,400 --> 00:22:30,800 Speaker 3: So he's just throwing money out at people that are 442 00:22:31,240 --> 00:22:33,399 Speaker 3: you know, conceived. Not not to say that everyone is 443 00:22:33,440 --> 00:22:36,000 Speaker 3: doing that, but potentially there are people just being like, yeah, bro, 444 00:22:36,040 --> 00:22:38,000 Speaker 3: I'm just fucking skimming the money off of this ship. 445 00:22:38,400 --> 00:22:41,600 Speaker 3: Then it's really hard to know like how how many 446 00:22:41,640 --> 00:22:44,760 Speaker 3: people they've actually talked to and what the turnout will be. 447 00:22:44,800 --> 00:22:46,040 Speaker 2: But anyway, I for. 448 00:22:46,040 --> 00:22:49,960 Speaker 1: One, I'm called that people who uh support and idolized 449 00:22:49,960 --> 00:22:51,440 Speaker 1: Donald Trump would be grifters. 450 00:22:51,720 --> 00:22:54,960 Speaker 2: That's that's fine. I know, I know, I know, I know, 451 00:22:54,960 --> 00:22:57,040 Speaker 2: you do you do hate hey, dry your eye, man, 452 00:22:57,119 --> 00:22:57,680 Speaker 2: dry your eye. 453 00:22:58,080 --> 00:23:03,800 Speaker 3: I can't just coming all right, well fuck fuck those people, 454 00:23:03,840 --> 00:23:04,920 Speaker 3: but also like good. 455 00:23:04,800 --> 00:23:06,920 Speaker 2: Good on that. Take the money, yeah, please take the money. 456 00:23:07,359 --> 00:23:11,000 Speaker 1: Maybe yeah, maybe they're actually maybe it's an op and 457 00:23:11,080 --> 00:23:14,520 Speaker 1: they're just like pretending to be Trump supporters. Okay, but 458 00:23:14,640 --> 00:23:18,120 Speaker 1: Kamala door knockers, don't fucking do that, you dumb dumbs. 459 00:23:18,200 --> 00:23:20,160 Speaker 1: Just just do the I feel like she I feel 460 00:23:20,160 --> 00:23:22,600 Speaker 1: like Kamala supporters wouldn't do that, right, Well. 461 00:23:22,440 --> 00:23:25,879 Speaker 2: But again you have it's a difference between paid people 462 00:23:26,200 --> 00:23:29,719 Speaker 2: and volunteers, right right, Like you want like that's the 463 00:23:29,800 --> 00:23:33,320 Speaker 2: whole lifeblood of like a campaign, is you want volunteers 464 00:23:33,640 --> 00:23:37,280 Speaker 2: or like engaged and are willing to go to neighborhoods where. 465 00:23:37,119 --> 00:23:39,959 Speaker 3: Most people are like are you a lib Yeah, and 466 00:23:40,000 --> 00:23:42,760 Speaker 3: they'd be like, yeah, yeah, I have a shout out 467 00:23:42,800 --> 00:23:43,160 Speaker 3: to John. 468 00:23:43,160 --> 00:23:45,720 Speaker 2: I have a friend who's flying to Georgia this weekend. 469 00:23:46,720 --> 00:23:50,280 Speaker 3: Knock on doors man, Yeah, shout out to him. 470 00:23:50,280 --> 00:23:53,280 Speaker 2: Going on, there's a lot going on, all right. 471 00:23:53,640 --> 00:23:56,040 Speaker 1: Those are some of the things that are trending on 472 00:23:56,119 --> 00:23:59,879 Speaker 1: this Tuesday, October twenty second. We are back tomorrow with 473 00:24:00,000 --> 00:24:00,680 Speaker 1: the whole last. 474 00:24:00,480 --> 00:24:01,480 Speaker 2: Episode of the show. 475 00:24:01,760 --> 00:24:05,080 Speaker 1: Until then, be kind to each other, be kind to yourselves, 476 00:24:05,240 --> 00:24:06,800 Speaker 1: get the back and get your flu shot. 477 00:24:07,080 --> 00:24:10,480 Speaker 2: Don't do nothing about white supremacy. We will. Okay, all 478 00:24:10,520 --> 00:24:11,399 Speaker 2: Tomari fight beast,