1 00:00:00,320 --> 00:00:05,280 Speaker 1: Hello the Internet, A little little down fire on that, 2 00:00:05,880 --> 00:00:07,320 Speaker 1: you know, poor little doubt. 3 00:00:07,080 --> 00:00:09,280 Speaker 2: Fire on them, investigators, doubt fire. 4 00:00:09,080 --> 00:00:12,920 Speaker 1: And welcome to this episode of Gould the petank trend. 5 00:00:13,440 --> 00:00:16,000 Speaker 2: Ah, Yes, showdown. 6 00:00:16,840 --> 00:00:20,840 Speaker 3: First, Mandy Patinkin. 7 00:00:19,480 --> 00:00:22,320 Speaker 2: Is the latest hot or not debate? 8 00:00:22,400 --> 00:00:24,919 Speaker 3: Sex off? Yeah, sexy off. 9 00:00:25,000 --> 00:00:28,400 Speaker 4: We finally we find ourselves on the different end of 10 00:00:28,400 --> 00:00:29,840 Speaker 4: the spectrum here we do. 11 00:00:30,160 --> 00:00:31,560 Speaker 3: I'm Mandy strongly. 12 00:00:31,640 --> 00:00:34,839 Speaker 1: I just think, uh, Elliott Gould is really hot in 13 00:00:35,000 --> 00:00:36,519 Speaker 1: that uh the long goodbye? 14 00:00:37,280 --> 00:00:38,160 Speaker 3: Is that what that's called? 15 00:00:38,560 --> 00:00:42,320 Speaker 4: Yeah, it doesn't matter, Mandy Patinkin all the way, doesn't matter, 16 00:00:42,560 --> 00:00:44,080 Speaker 4: doesn't matter, don't matter. 17 00:00:44,120 --> 00:00:46,320 Speaker 2: I don't care, don't care. 18 00:00:46,560 --> 00:00:49,480 Speaker 1: All right, should we tell the people what's trending besides 19 00:00:50,360 --> 00:00:53,000 Speaker 1: horniness for Elliott Gould and Mandy Patinkin? 20 00:00:53,280 --> 00:00:53,480 Speaker 3: Yeah? 21 00:00:53,520 --> 00:00:54,400 Speaker 2: What else? What else? 22 00:00:54,760 --> 00:00:55,880 Speaker 3: What else? What else? 23 00:00:56,080 --> 00:00:58,200 Speaker 1: That that one, by the way, Gould is winning by 24 00:00:58,240 --> 00:01:01,280 Speaker 1: a narrow margin. So if you're if you're a pittank 25 00:01:01,360 --> 00:01:06,000 Speaker 1: in head, go find the poll on Twitter, and you. 26 00:01:05,920 --> 00:01:09,360 Speaker 3: Know you do your best, make sure your voice is heard. Yeah. 27 00:01:09,560 --> 00:01:14,560 Speaker 1: Fox News New Lineup just dropped the Drudge Report, did 28 00:01:14,600 --> 00:01:21,760 Speaker 1: a siren blaring scoop on Wednesday, announcing that yeah, it's 29 00:01:21,800 --> 00:01:23,880 Speaker 1: basically what we thought, Sean Hannity is going to take 30 00:01:23,920 --> 00:01:26,840 Speaker 1: over at eight pm, and who's that? 31 00:01:27,319 --> 00:01:28,280 Speaker 2: Who's that spot of that? 32 00:01:28,280 --> 00:01:29,880 Speaker 3: That Tucker's Yeah that was Tucker. 33 00:01:30,080 --> 00:01:33,559 Speaker 1: Okay, So I was assumed Hannity was like equal to Tucker. 34 00:01:33,680 --> 00:01:37,200 Speaker 1: But apparently like the real spot, the real good spot 35 00:01:37,480 --> 00:01:42,400 Speaker 1: is like eight because their audience goes to bed like thirty. 36 00:01:42,680 --> 00:01:45,520 Speaker 3: Yeah, so like that sleepy. 37 00:01:45,200 --> 00:01:47,960 Speaker 2: Time, that sleepy time t for xenophils. 38 00:01:48,400 --> 00:01:52,600 Speaker 1: Yes, so now that's Sean Hannity, and then Jesse Waters 39 00:01:52,800 --> 00:01:55,040 Speaker 1: and gut Felt. 40 00:01:54,920 --> 00:01:57,800 Speaker 4: Screaming out and moved to Wait, so Gutfeld will have 41 00:01:57,880 --> 00:02:00,600 Speaker 4: his late night show and a primetime spot or Gutfeld 42 00:02:00,640 --> 00:02:04,040 Speaker 4: is I'm assuming they're moving gut Felt into primetime. 43 00:02:04,200 --> 00:02:05,320 Speaker 2: Got it, got it? Got it. 44 00:02:06,080 --> 00:02:08,760 Speaker 4: That's not a good look for them in the primetime. 45 00:02:08,760 --> 00:02:12,160 Speaker 4: We're gonna have the worst talk show on our news channel. 46 00:02:12,240 --> 00:02:16,240 Speaker 1: It's like yeah, I mean they have always that whole 47 00:02:16,320 --> 00:02:19,679 Speaker 1: area of the schedule is entertainment. 48 00:02:19,880 --> 00:02:21,239 Speaker 3: So maybe they just they're. 49 00:02:21,040 --> 00:02:23,839 Speaker 1: Like, yeah, this is this is what we do. Yeah, 50 00:02:23,880 --> 00:02:27,760 Speaker 1: it'll be like they're the Daily Show. I guess sure, 51 00:02:28,080 --> 00:02:34,120 Speaker 1: so great, and then Tucker will be entertaining us youngsters 52 00:02:34,160 --> 00:02:38,040 Speaker 1: on Twitter. Those people under the age of sixty five. 53 00:02:39,520 --> 00:02:43,280 Speaker 1: Can't wait, I can't wait. What the fuck Elon Musk 54 00:02:43,400 --> 00:02:47,000 Speaker 1: is really? Like obviously we've known he has lost, Like 55 00:02:47,680 --> 00:02:51,240 Speaker 1: this is too much now yeah, now now he's openly 56 00:02:51,280 --> 00:02:52,040 Speaker 1: anti Semitic. 57 00:02:52,800 --> 00:02:56,120 Speaker 2: Yeah, he's just a fucking racist. You know, he's out 58 00:02:56,120 --> 00:02:57,639 Speaker 2: here fully on this ship. 59 00:02:57,720 --> 00:03:01,120 Speaker 4: There's no there's no like intellect will cover for this, 60 00:03:01,360 --> 00:03:06,280 Speaker 4: like it is what it is, chis what kis? Surprise, Like, 61 00:03:06,320 --> 00:03:08,760 Speaker 4: where's the news reporting about that? Or they they value 62 00:03:08,800 --> 00:03:11,320 Speaker 4: their gold check marks on Twitter too much to report 63 00:03:11,400 --> 00:03:11,840 Speaker 4: that shit. 64 00:03:13,280 --> 00:03:18,840 Speaker 1: Bad week, bad day for Ron DeSantis. So, first of all, 65 00:03:19,560 --> 00:03:24,040 Speaker 1: Donna Degan just won the mayoral election in Jacksonville, becoming 66 00:03:24,080 --> 00:03:27,560 Speaker 1: only the second Democrat to ever be elected mayor of 67 00:03:28,160 --> 00:03:29,760 Speaker 1: Florida's biggest city. 68 00:03:29,680 --> 00:03:32,760 Speaker 3: At least in the past three decades Miami. I had 69 00:03:32,760 --> 00:03:33,160 Speaker 3: no idea. 70 00:03:33,240 --> 00:03:38,040 Speaker 1: Yeah, Jacksonville is Florida's biggest city by like double wow. Yeah, 71 00:03:38,080 --> 00:03:40,520 Speaker 1: it's population is almost a million. Miami is like four 72 00:03:40,560 --> 00:03:44,560 Speaker 1: hundred thousand. That blew my mind. Yeah, blew my mind. 73 00:03:44,600 --> 00:03:45,160 Speaker 3: I just go by. 74 00:03:45,160 --> 00:03:48,960 Speaker 4: I'm like, well they got more sports teams, right. I 75 00:03:49,000 --> 00:03:51,240 Speaker 4: had that kind of logic where I'm like, nah, man, 76 00:03:51,320 --> 00:03:54,840 Speaker 4: the cities with the sports teams have the biggest populations ever, 77 00:03:54,960 --> 00:03:55,640 Speaker 4: that's how not. 78 00:03:55,600 --> 00:03:56,880 Speaker 3: The Jacksonville Heat. 79 00:03:57,080 --> 00:04:01,880 Speaker 1: So but yeah, they so just this was DeSantis like 80 00:04:01,960 --> 00:04:07,560 Speaker 1: back to the Republican candidate obviously Daniel Davis, and. 81 00:04:07,680 --> 00:04:11,400 Speaker 3: People did not vote for him. They voted for Donna Degan, 82 00:04:11,600 --> 00:04:15,960 Speaker 3: a dem somebody who they really like. 83 00:04:16,120 --> 00:04:20,359 Speaker 1: Tried to, you know, emphasize that she had gone to 84 00:04:20,600 --> 00:04:26,120 Speaker 1: Black Lives Matter protests and a local sheriff warned people 85 00:04:26,520 --> 00:04:32,760 Speaker 1: that she would install scary radical policies and people be. 86 00:04:32,760 --> 00:04:35,279 Speaker 4: San Francisco if you're not careful. I think it was 87 00:04:35,279 --> 00:04:37,240 Speaker 4: like one of the refrains from the right in. 88 00:04:37,200 --> 00:04:40,520 Speaker 3: That race didn't seem to work. So yeah, I don't know. 89 00:04:40,600 --> 00:04:46,000 Speaker 1: And also he got involved in a Kentucky gubernatorial election 90 00:04:46,560 --> 00:04:49,799 Speaker 1: and he like back to Republican candidate against a Trump 91 00:04:49,920 --> 00:04:52,440 Speaker 1: backed candidate and people were like, oh, now we're going 92 00:04:52,520 --> 00:04:56,560 Speaker 1: to see who really yeahs And he got his ass 93 00:04:56,560 --> 00:04:58,440 Speaker 1: whooped there too, So. 94 00:04:58,400 --> 00:05:00,600 Speaker 4: Yeah, and it was wild too. They kept trying to 95 00:05:00,680 --> 00:05:03,280 Speaker 4: hit this like Degan on this like, oh, she's going 96 00:05:03,320 --> 00:05:05,160 Speaker 4: to cut the police force, but she never really even 97 00:05:05,160 --> 00:05:07,920 Speaker 4: said that. 98 00:05:06,880 --> 00:05:09,720 Speaker 3: She's a Democrat. She's not. She's not going to gut 99 00:05:09,760 --> 00:05:11,679 Speaker 3: the police force. I loved the police. 100 00:05:11,760 --> 00:05:12,880 Speaker 2: It's not a socialists. 101 00:05:13,120 --> 00:05:13,760 Speaker 3: Yeah. 102 00:05:13,800 --> 00:05:20,080 Speaker 1: Anyways, shout out to Jacksonville though Jack's good for Jacksonville News. 103 00:05:20,400 --> 00:05:23,680 Speaker 1: Uh the or like, what was it, I don't know, 104 00:05:23,720 --> 00:05:27,440 Speaker 1: they had like some action news Jackson Action. 105 00:05:27,640 --> 00:05:29,840 Speaker 3: Yeah it was Action news Jacks. 106 00:05:30,320 --> 00:05:30,920 Speaker 2: Oh okay. 107 00:05:30,960 --> 00:05:32,680 Speaker 3: I was like, y'all could have done better than that. 108 00:05:33,000 --> 00:05:35,359 Speaker 1: You should have respected the work of the great Carl 109 00:05:35,360 --> 00:05:37,720 Speaker 1: Weathers and come up with an Action Jackson play on 110 00:05:37,760 --> 00:05:41,800 Speaker 1: the name of your local news program, the program. Let's see, 111 00:05:41,880 --> 00:05:48,160 Speaker 1: there's depressing statements from Diane Feinstein claiming she hasn't been 112 00:05:48,200 --> 00:05:51,400 Speaker 1: gone when I asked about her lengthy absence from the Senate. 113 00:05:51,440 --> 00:05:53,120 Speaker 3: No year, I've been voting. 114 00:05:54,000 --> 00:06:00,920 Speaker 4: Oh no, no, no, no, oh god, just please, just 115 00:06:01,080 --> 00:06:02,720 Speaker 4: someone figure it out. 116 00:06:03,080 --> 00:06:05,320 Speaker 2: Like she doesn't need to be doing this anymore. 117 00:06:05,520 --> 00:06:07,040 Speaker 3: She doesn't even. 118 00:06:06,920 --> 00:06:11,040 Speaker 2: Have a functional memory to know when she's working. Yeah, like, 119 00:06:11,320 --> 00:06:12,080 Speaker 2: what the fuck? 120 00:06:12,520 --> 00:06:15,919 Speaker 4: It's whatever, it's grim grim, But we need those votes 121 00:06:15,960 --> 00:06:17,520 Speaker 4: right now in the Senate, and we don't know how 122 00:06:17,520 --> 00:06:20,920 Speaker 4: to talk her out of this because this is ugh 123 00:06:21,440 --> 00:06:23,920 Speaker 4: it's it's just just like we were talking about, I 124 00:06:23,920 --> 00:06:25,560 Speaker 4: think earlier this week when you were first talking about 125 00:06:25,600 --> 00:06:26,360 Speaker 4: this story. 126 00:06:26,440 --> 00:06:29,280 Speaker 2: Just a bad, bad situation. 127 00:06:28,839 --> 00:06:31,360 Speaker 4: And just underlines all the way as we fall short, 128 00:06:31,480 --> 00:06:35,080 Speaker 4: especially even like with the with legislators like this, you 129 00:06:35,240 --> 00:06:37,520 Speaker 4: got to send it set up so the older you are, like, 130 00:06:37,600 --> 00:06:40,560 Speaker 4: the better positions you'll have for chairmanships or to be 131 00:06:40,640 --> 00:06:44,760 Speaker 4: chair of certain committees. And come on, let's just let's 132 00:06:44,760 --> 00:06:47,640 Speaker 4: just set these little age limits or term limits because 133 00:06:47,640 --> 00:06:48,960 Speaker 4: people don't need to be out here this long. 134 00:06:49,600 --> 00:06:52,599 Speaker 1: Yeah, all right, let's take a quick break and we'll 135 00:06:52,640 --> 00:06:53,240 Speaker 1: be right back. 136 00:07:03,200 --> 00:07:04,119 Speaker 3: And we're back. 137 00:07:04,640 --> 00:07:09,800 Speaker 1: And a professor in Texas at Texas A and M 138 00:07:10,120 --> 00:07:14,560 Speaker 1: flunked all his students after chat GPT falsely claimed it 139 00:07:14,640 --> 00:07:15,600 Speaker 1: wrote their papers. 140 00:07:15,880 --> 00:07:17,640 Speaker 4: Wait, how does it claim how did it claim that? 141 00:07:17,680 --> 00:07:19,960 Speaker 4: It's like, I'm sorry, professor, but I have something to 142 00:07:20,040 --> 00:07:24,200 Speaker 4: tell you. Unfortunately, your students are untrustworthy and deployed my 143 00:07:24,320 --> 00:07:26,320 Speaker 4: intelligence for this paper. 144 00:07:26,600 --> 00:07:29,680 Speaker 1: Yeah, it feels like he's turning over his job, like 145 00:07:29,760 --> 00:07:32,080 Speaker 1: all of his work to chat GPT and then getting 146 00:07:32,080 --> 00:07:35,160 Speaker 1: mad if it claims other people are doing the same thing. 147 00:07:35,920 --> 00:07:40,040 Speaker 1: Doctor Jared Mom, a campus rodeo instructor, Okay, he also 148 00:07:40,080 --> 00:07:43,480 Speaker 1: teaches agricultural classes, sent an email Monday to a group 149 00:07:43,480 --> 00:07:46,440 Speaker 1: of students informing them that he had submitted grades for 150 00:07:46,520 --> 00:07:49,840 Speaker 1: their last three essay assignments of the semester, everyone would 151 00:07:49,920 --> 00:07:53,400 Speaker 1: be receiving an X in the course. Mom exclaimed Hell 152 00:07:54,000 --> 00:07:57,360 Speaker 1: he had used chat GPT to test whether they'd use 153 00:07:57,440 --> 00:07:59,840 Speaker 1: the software to write the papers, and the bok claimed 154 00:07:59,840 --> 00:08:03,560 Speaker 1: to have authored every single one. 155 00:08:03,920 --> 00:08:07,760 Speaker 2: Uh so put a dumb double edged sword. 156 00:08:07,840 --> 00:08:10,520 Speaker 4: Now it's become oh yeah, well that none of you 157 00:08:10,560 --> 00:08:12,760 Speaker 4: passed because the thing told me you guys cheated. 158 00:08:13,440 --> 00:08:15,600 Speaker 1: I copy and paste your This is a direct one. 159 00:08:15,600 --> 00:08:18,960 Speaker 1: I copy and paste your responses in chat GPT, and 160 00:08:19,120 --> 00:08:22,120 Speaker 1: it will tell me if the program generated the contact. 161 00:08:23,240 --> 00:08:26,760 Speaker 3: He seems like he doesn't. He can't communic. 162 00:08:26,800 --> 00:08:30,760 Speaker 1: Stick to rodeos, man, Yeah, too many rodeos and sometimes 163 00:08:31,120 --> 00:08:34,160 Speaker 1: uh it not being your first rodeo and in fact 164 00:08:34,240 --> 00:08:36,520 Speaker 1: being your two million is not good. 165 00:08:36,440 --> 00:08:39,400 Speaker 2: For the old I get it though. Those eight seconds though, man. 166 00:08:40,240 --> 00:08:41,920 Speaker 3: Yeah, with very little prompting. 167 00:08:42,000 --> 00:08:44,760 Speaker 1: Chat gpt will even claim to have written passages from 168 00:08:44,800 --> 00:08:47,560 Speaker 1: famous novels such as Prime and Punishment. 169 00:08:48,080 --> 00:08:51,240 Speaker 4: So it's really just got an ego now too, it's 170 00:08:51,320 --> 00:08:53,240 Speaker 4: oh yeah I did that, Yeah, I wrote that ship. 171 00:08:53,520 --> 00:08:55,880 Speaker 2: Yeah. Oh you ever heard of big l Any Big 172 00:08:56,040 --> 00:08:57,880 Speaker 2: l Freestyle? Two? 173 00:08:58,360 --> 00:08:58,640 Speaker 3: Yep? 174 00:08:58,720 --> 00:09:01,000 Speaker 4: Ask Beavis I get nothing but a head. That's me 175 00:09:01,160 --> 00:09:03,920 Speaker 4: chat GPT. I wrote that line. 176 00:09:04,559 --> 00:09:11,679 Speaker 1: Oh man, so uh so people who assume that they 177 00:09:11,679 --> 00:09:17,280 Speaker 1: can use chat GPT as a lie detector test. Yeah, 178 00:09:17,760 --> 00:09:19,240 Speaker 1: probably shouldn't be teaching. 179 00:09:20,360 --> 00:09:22,920 Speaker 4: I wondered, like, do we know if like the professors 180 00:09:22,920 --> 00:09:24,960 Speaker 4: come back around it's like, ah, yeah, that was that 181 00:09:25,040 --> 00:09:27,640 Speaker 4: was kind of a mistake, or just doubling down, Like, no. 182 00:09:29,679 --> 00:09:31,840 Speaker 1: Miles, this is a story we're going to be following 183 00:09:31,920 --> 00:09:37,440 Speaker 1: from developed developer still developing. I'm assuming he will be 184 00:09:38,280 --> 00:09:45,679 Speaker 1: uh correcting that decision and laughed at right, all right? Uh? 185 00:09:46,040 --> 00:09:48,320 Speaker 3: Ron DeSantis another l baby. 186 00:09:48,400 --> 00:09:53,360 Speaker 1: He appointed someone to the New Disney oversite board, and 187 00:09:53,480 --> 00:09:56,520 Speaker 1: it turns out that person has suggested tap water could 188 00:09:56,559 --> 00:09:57,480 Speaker 1: turn people gay. 189 00:09:59,120 --> 00:10:01,360 Speaker 2: So is it Alex Jones? 190 00:10:02,600 --> 00:10:04,680 Speaker 3: He's probably a fan of Alex Jones. 191 00:10:04,840 --> 00:10:07,040 Speaker 2: Yeah, I got the info Wars tatted would that take? 192 00:10:07,120 --> 00:10:08,200 Speaker 3: Yeah? Go on? 193 00:10:08,600 --> 00:10:10,880 Speaker 4: Is it the fluoride and making the frogs gay and 194 00:10:10,920 --> 00:10:11,520 Speaker 4: all that stuff? 195 00:10:11,720 --> 00:10:13,480 Speaker 2: He's falling that whole logic train. 196 00:10:13,960 --> 00:10:15,600 Speaker 3: Probably, I'm not sure. 197 00:10:15,679 --> 00:10:19,520 Speaker 1: It's Ron Perry, an Orlando based former pastor and the 198 00:10:19,559 --> 00:10:23,880 Speaker 1: CEO of the Gathering, a Christian ministry focused on outreach 199 00:10:23,960 --> 00:10:26,640 Speaker 1: to men. Oh, I've heard of that. Yeah, and he's 200 00:10:26,640 --> 00:10:29,000 Speaker 1: now one of five people who will overseee the Reedy 201 00:10:29,040 --> 00:10:34,480 Speaker 1: Creek Improvement District. And he thinks that tapwater can turn 202 00:10:34,559 --> 00:10:34,960 Speaker 1: you gay. 203 00:10:35,520 --> 00:10:36,960 Speaker 2: Yeah, that's again I love that. 204 00:10:37,200 --> 00:10:41,360 Speaker 4: So is he gonna do something then about water rights? 205 00:10:42,000 --> 00:10:44,240 Speaker 2: Does he care about things like that too? 206 00:10:44,440 --> 00:10:46,280 Speaker 4: If the water can turn you gay, then is there 207 00:10:46,320 --> 00:10:48,760 Speaker 4: a problem with the water that you need to, you know, 208 00:10:48,960 --> 00:10:51,680 Speaker 4: have better standards for water or what is it about 209 00:10:51,679 --> 00:10:52,000 Speaker 4: the water. 210 00:10:52,080 --> 00:10:55,960 Speaker 1: Here's his direct quote. So why are there homosexuals today? 211 00:10:56,360 --> 00:11:01,959 Speaker 2: Oh? My God, that killed me. Oh Jesus Christ. 212 00:11:02,080 --> 00:11:05,240 Speaker 1: There are any number of reasons, you know, that are given. 213 00:11:05,559 --> 00:11:08,960 Speaker 1: Some would say the increase in estrogen in our societies. 214 00:11:09,080 --> 00:11:12,800 Speaker 1: You know, there's estrogen in the water from birth control pills. 215 00:11:12,880 --> 00:11:16,960 Speaker 1: They can't get it out. He basically said in January 216 00:11:17,040 --> 00:11:20,920 Speaker 1: twenty twenty two, the level of testosterone and men broadly 217 00:11:20,920 --> 00:11:24,120 Speaker 1: in America has declined by fifty points in the past 218 00:11:24,160 --> 00:11:26,079 Speaker 1: ten years, you know, And. 219 00:11:25,960 --> 00:11:28,360 Speaker 3: So maybe that's a part of it, uh huh. 220 00:11:28,400 --> 00:11:30,880 Speaker 1: But the big part I would suggest to you, based 221 00:11:30,960 --> 00:11:34,360 Speaker 1: upon what it's saying here, is the removal of constraint. 222 00:11:34,720 --> 00:11:38,880 Speaker 1: So our society provided the constraint, and so which is 223 00:11:39,080 --> 00:11:44,120 Speaker 1: the responsibility of a society to constrain people from doing evil. Well, 224 00:11:44,480 --> 00:11:48,600 Speaker 1: you remove the constraints and then evil occurs. Okay, all right, 225 00:11:48,679 --> 00:11:50,240 Speaker 1: killing it. Thanks thanks preacher. 226 00:11:50,800 --> 00:11:53,319 Speaker 3: Yes, seems like he has some interesting ideas. 227 00:11:53,480 --> 00:11:56,040 Speaker 4: It's just shocking after what we said yesterday about people 228 00:11:56,320 --> 00:11:58,800 Speaker 4: leaving the church and droves. I mean, when they're saying 229 00:11:58,880 --> 00:12:02,200 Speaker 4: stuff like this, I mean the fuck I'd like. I'm 230 00:12:02,240 --> 00:12:06,720 Speaker 4: there for both weekends of the gathering. The gathering just 231 00:12:06,840 --> 00:12:09,360 Speaker 4: people just weeping, holding each. 232 00:12:09,160 --> 00:12:12,360 Speaker 2: Other and speaking in tongues. Man, they love to see it. 233 00:12:12,840 --> 00:12:18,800 Speaker 1: Finally I can just be vulnerable among other misogynistic, homophobic people. 234 00:12:20,440 --> 00:12:25,800 Speaker 1: Oscar Meyer has renamed the Wiener Mobile the Frank Mobile. 235 00:12:26,320 --> 00:12:32,000 Speaker 1: This feels like a story that is designed to bait, Like, yeah, bait, 236 00:12:32,400 --> 00:12:35,839 Speaker 1: like to get Tucker Carlson to be like, oh what 237 00:12:35,920 --> 00:12:39,320 Speaker 1: we can't say the word weener. Now that's what I 238 00:12:39,360 --> 00:12:43,800 Speaker 1: call my penis in the bedroom. So Wiener Mobile, the 239 00:12:43,840 --> 00:12:45,040 Speaker 1: Wiener Mobile. 240 00:12:44,760 --> 00:12:48,640 Speaker 4: Making a stop. Wait, so do they say anything about it. 241 00:12:48,640 --> 00:12:49,720 Speaker 4: It's just like, hey, it's a new name. 242 00:12:49,960 --> 00:12:52,719 Speaker 1: Now. It feels like they're just being like, what we 243 00:12:52,800 --> 00:12:55,760 Speaker 1: just wanted to do it? They say it pays homage 244 00:12:55,760 --> 00:13:00,079 Speaker 1: to the brands on Beef Franks as it debuts a 245 00:13:00,120 --> 00:13:03,640 Speaker 1: new tasty recipe that is more flavorful than ever. So 246 00:13:03,880 --> 00:13:08,120 Speaker 1: they're looking for something to hang a news story on, 247 00:13:08,320 --> 00:13:11,240 Speaker 1: and they're like, well, this will probably make people mad. 248 00:13:11,720 --> 00:13:16,120 Speaker 1: And they're sporting some fun new features, like they've changed 249 00:13:16,480 --> 00:13:19,960 Speaker 1: the Wiener whistles that they give out to be called 250 00:13:20,080 --> 00:13:24,720 Speaker 1: Frank whistles. The people who drive the thing used to 251 00:13:24,720 --> 00:13:28,680 Speaker 1: be called hot Doggers, but now they're called Frankfurters. 252 00:13:28,000 --> 00:13:29,480 Speaker 2: Because they're from Frankfurt, Germany. 253 00:13:29,920 --> 00:13:36,160 Speaker 1: Yeah, yeah, exactly, okay, and Frank's for Franks. This is 254 00:13:36,240 --> 00:13:39,360 Speaker 1: actually fun. They could have done this without changing the 255 00:13:39,440 --> 00:13:41,880 Speaker 1: name of the thing. Frank's for Frank's, meaning anyone who 256 00:13:41,920 --> 00:13:44,320 Speaker 1: is named an iteration of Frank can stop by in 257 00:13:44,360 --> 00:13:46,880 Speaker 1: person to get a coupon for a free pack of 258 00:13:46,960 --> 00:13:48,840 Speaker 1: Oscar Meyer b Franks. 259 00:13:49,000 --> 00:13:51,560 Speaker 3: So that's fun. But you could have done that without. 260 00:13:51,720 --> 00:13:55,040 Speaker 4: So this is like, yeah, it's part promo, part maybe 261 00:13:55,080 --> 00:13:58,560 Speaker 4: we can get into the right wing outrage cycle. Yeah maybe, 262 00:13:59,160 --> 00:14:00,880 Speaker 4: because I mean, if they were really doing it, their 263 00:14:00,960 --> 00:14:04,880 Speaker 4: statement would attribute how like Wiener is problematic for them 264 00:14:05,040 --> 00:14:06,480 Speaker 4: and they're trying to move. 265 00:14:06,360 --> 00:14:11,400 Speaker 2: Past such phallic shit or whatever. But I don't know that, sure, 266 00:14:11,880 --> 00:14:13,120 Speaker 2: I mean I don't need I don't even eat. 267 00:14:13,360 --> 00:14:17,640 Speaker 4: Hey, the only Oscar Myers I get were those cheese dogs, man, 268 00:14:17,679 --> 00:14:18,680 Speaker 4: with the cheese core. 269 00:14:18,840 --> 00:14:20,160 Speaker 2: Those are so bad for you. 270 00:14:20,280 --> 00:14:23,600 Speaker 4: But man, that was like my fucking junior high, like breakfast, 271 00:14:23,680 --> 00:14:25,200 Speaker 4: lunch and dinner for a while. 272 00:14:25,120 --> 00:14:26,560 Speaker 3: Like it was liquid cheese. 273 00:14:26,640 --> 00:14:29,680 Speaker 1: It was like, yeah, if Gatorade made a cheese flavor, 274 00:14:30,360 --> 00:14:33,040 Speaker 1: like oh with the cheese, not the script cheese flavor 275 00:14:33,080 --> 00:14:36,160 Speaker 1: for sure. Yeah. Yeah, people are too tired to lead 276 00:14:36,200 --> 00:14:40,360 Speaker 1: healthier lifestyles. According to a UK survey that The Guardian 277 00:14:40,640 --> 00:14:45,160 Speaker 1: reported on this tracks this is modern life feels bad 278 00:14:45,480 --> 00:14:50,640 Speaker 1: and makes living in it very like you're just. 279 00:14:50,800 --> 00:14:52,200 Speaker 3: Exhausted all the time. 280 00:14:52,880 --> 00:14:56,680 Speaker 1: And then yeah, so it sucks that the way to 281 00:14:56,800 --> 00:15:00,680 Speaker 1: feel less exhausted is to have to like push through the. 282 00:15:00,640 --> 00:15:04,640 Speaker 4: Exhaustion and like right, yeah, because the second I'm like 283 00:15:04,680 --> 00:15:07,200 Speaker 4: I think about exercising sometimes I'm like, look, I got 284 00:15:07,240 --> 00:15:08,800 Speaker 4: a lot of tables, man, I got a lot of 285 00:15:08,840 --> 00:15:10,080 Speaker 4: table I don't know if I can. I don't know 286 00:15:10,080 --> 00:15:11,520 Speaker 4: if you're gonna see me sweating right now. 287 00:15:11,640 --> 00:15:13,920 Speaker 2: It's just life. Life got you sweating already. 288 00:15:14,360 --> 00:15:16,920 Speaker 4: But yeah, I mean it's it's wild too, because even 289 00:15:17,000 --> 00:15:19,840 Speaker 4: there are times when I was absolutely not doing anything 290 00:15:20,720 --> 00:15:24,640 Speaker 4: like physical and then also coincided with some darker periods 291 00:15:24,640 --> 00:15:26,840 Speaker 4: in my emotional state, and it took a little bit 292 00:15:26,840 --> 00:15:29,080 Speaker 4: of be like, let's add a little bit of activity 293 00:15:29,120 --> 00:15:31,560 Speaker 4: to your lifestyle to get your blood flowing and remind 294 00:15:31,560 --> 00:15:33,360 Speaker 4: yourself of the sensation of being. 295 00:15:33,160 --> 00:15:37,280 Speaker 3: In your body. Just make your bed, go for a walk, 296 00:15:37,560 --> 00:15:38,280 Speaker 3: all these things. 297 00:15:38,560 --> 00:15:40,760 Speaker 2: Make your bed. Listen to Jordan Peterson. 298 00:15:40,560 --> 00:15:44,000 Speaker 1: Listen to make your bed, and find out the truth 299 00:15:44,160 --> 00:15:48,720 Speaker 1: about what men are supposed to be, like. 300 00:15:47,520 --> 00:15:48,760 Speaker 2: Say like monster trucks. 301 00:15:48,800 --> 00:15:49,840 Speaker 3: Okay, thank you. 302 00:15:50,360 --> 00:15:51,000 Speaker 2: Did you see that. 303 00:15:50,920 --> 00:15:53,840 Speaker 4: Clip of one of those Christian men's fucking fests where 304 00:15:53,840 --> 00:15:56,720 Speaker 4: like the monster truck, like a fucking tank came out 305 00:15:57,200 --> 00:16:00,920 Speaker 4: and like like explosions on either side of the stage. 306 00:16:00,920 --> 00:16:03,480 Speaker 4: A fucking tank comes out and just rolls over a 307 00:16:03,480 --> 00:16:05,120 Speaker 4: bunch of cars and then goes back and they're like, 308 00:16:05,280 --> 00:16:08,080 Speaker 4: all right, what's next, And it was like it's truly 309 00:16:08,120 --> 00:16:09,520 Speaker 4: like idiocracy type shit. 310 00:16:09,840 --> 00:16:13,960 Speaker 1: Yeah, yeah, there's a great run in I think I 311 00:16:14,000 --> 00:16:16,880 Speaker 1: think it's just an episode of Workaholics where there's like 312 00:16:16,960 --> 00:16:21,560 Speaker 1: a Christian weightlifting team that like comes to town and 313 00:16:21,600 --> 00:16:25,880 Speaker 1: it's just uses the power of Christ to compel the 314 00:16:25,920 --> 00:16:30,400 Speaker 1: weights into the sky above them. But that's I believe, 315 00:16:30,440 --> 00:16:34,360 Speaker 1: a real thing. Love it, Yeah, you do have to 316 00:16:34,440 --> 00:16:36,640 Speaker 1: love it. Yeah, those are the rules. 317 00:16:36,800 --> 00:16:37,680 Speaker 2: I was in Missouri. 318 00:16:38,400 --> 00:16:41,320 Speaker 4: Monster trucks, tanks, guns, and pyrotechnics. 319 00:16:41,600 --> 00:16:47,520 Speaker 1: Yeah, I mean, that's that's how you express your masculinity, 320 00:16:47,800 --> 00:16:51,880 Speaker 1: is stuff that's sting in a group of other men 321 00:16:51,960 --> 00:16:53,920 Speaker 1: and looking at those things. 322 00:16:53,840 --> 00:16:57,040 Speaker 4: Well it speaks like yeah, it truly speaks to like 323 00:16:57,080 --> 00:17:00,280 Speaker 4: the human urge of like if you can't create, then destroy. Yeah, 324 00:17:00,520 --> 00:17:04,000 Speaker 4: and that's all like Christian masculinity is. And I was like, 325 00:17:04,040 --> 00:17:05,520 Speaker 4: I don't know, man, you could break a bunch of 326 00:17:05,520 --> 00:17:06,840 Speaker 4: shit with these monster trucks. 327 00:17:06,840 --> 00:17:08,000 Speaker 2: How about us and guns? 328 00:17:08,000 --> 00:17:08,520 Speaker 3: How about that? 329 00:17:09,160 --> 00:17:10,360 Speaker 2: Yeah? Yeah, yeah, cool, cool cool. 330 00:17:10,480 --> 00:17:11,200 Speaker 3: All right, well. 331 00:17:11,080 --> 00:17:14,760 Speaker 1: Those are some of the things that are trending on 332 00:17:14,920 --> 00:17:17,760 Speaker 1: this Wednesday afternoon. We are back tomorrow with a who 333 00:17:17,800 --> 00:17:21,119 Speaker 1: last episode of the show. Until then, be kind to 334 00:17:21,200 --> 00:17:24,480 Speaker 1: each other, be kind to yourselves, get the vaccine, don't 335 00:17:24,520 --> 00:17:27,159 Speaker 1: do nothing about white supremacy, and we will talk to 336 00:17:27,440 --> 00:17:28,359 Speaker 1: y'all tomorrow. 337 00:17:28,560 --> 00:17:35,280 Speaker 3: Bye bye.