1 00:00:00,240 --> 00:00:04,160 Speaker 1: Hello the Internet, and welcome to this episode of Geist. 2 00:00:04,280 --> 00:00:11,280 Speaker 1: Road Truckers aka Deadliest Trend or Trendliest Catch aka Extreme 3 00:00:11,440 --> 00:00:16,120 Speaker 1: trend Engineering, Walking with Zytosaurs. 4 00:00:16,120 --> 00:00:17,840 Speaker 2: Dirt t DZ Jobs. 5 00:00:18,320 --> 00:00:21,840 Speaker 1: These are all all Discovery Channel Original Programming short show 6 00:00:21,880 --> 00:00:25,120 Speaker 1: titles courtesy of short show title Spice. 7 00:00:25,400 --> 00:00:28,040 Speaker 2: Johnny Davis on the Discord. 8 00:00:28,360 --> 00:00:34,000 Speaker 3: Jay d did we talk about that on Mike? 9 00:00:34,600 --> 00:00:35,520 Speaker 2: I can't tell anymore? 10 00:00:35,560 --> 00:00:38,920 Speaker 4: It all blends together, It all blends together, and people 11 00:00:39,000 --> 00:00:41,560 Speaker 4: know the iconic song oh yeah by your. 12 00:00:42,800 --> 00:00:51,479 Speaker 3: Yeah, Oh wow, what a jam? My name is Jack? 13 00:00:52,040 --> 00:00:55,040 Speaker 1: That over there is Miles Young guys, we are young 14 00:00:55,040 --> 00:01:01,720 Speaker 1: and all right. This is the episode where we tell 15 00:01:01,720 --> 00:01:05,280 Speaker 1: you some of the things that are trending. There was 16 00:01:05,520 --> 00:01:11,959 Speaker 1: a Trump appearance alongside Sarah Huckabee Sanders. That so a 17 00:01:11,959 --> 00:01:16,880 Speaker 1: couple of clips going somewhat viral. Sarah Hugabye Sanders seemed 18 00:01:16,959 --> 00:01:23,120 Speaker 1: really doubled down on the Trump campaign strategy of making 19 00:01:23,160 --> 00:01:27,600 Speaker 1: fun of Kamala Harris for not physically having given birth 20 00:01:28,040 --> 00:01:29,240 Speaker 1: to a child. 21 00:01:30,440 --> 00:01:31,560 Speaker 4: Yeah, I love that anecdote. 22 00:01:31,640 --> 00:01:31,920 Speaker 3: Yeah. 23 00:01:31,959 --> 00:01:35,320 Speaker 1: So the story is she's getting her daughter ready and 24 00:01:35,360 --> 00:01:37,840 Speaker 1: her daughter says, it's okay, mommy, one day you can 25 00:01:37,880 --> 00:01:43,040 Speaker 1: be pretty too. So my kid keep me humble when they're. 26 00:01:44,880 --> 00:01:47,240 Speaker 4: I made her kneel on a pile of firewood for 27 00:01:47,280 --> 00:01:48,480 Speaker 4: four days straight. 28 00:01:48,760 --> 00:01:53,680 Speaker 1: For being Unfortunately, Kamala Harris doesn't have anything keeping her 29 00:01:53,800 --> 00:01:57,320 Speaker 1: humble because she hasn't physically a given birth. 30 00:01:57,360 --> 00:01:59,360 Speaker 3: Doesn't she have two children. 31 00:01:59,600 --> 00:02:05,279 Speaker 5: Step children Jack, and those don't even fucking count people 32 00:02:05,280 --> 00:02:09,960 Speaker 5: who beyond a biological imperative feel the need to take 33 00:02:10,000 --> 00:02:10,400 Speaker 5: care of. 34 00:02:10,360 --> 00:02:13,160 Speaker 2: Others and help them along in their lives. That's just 35 00:02:13,639 --> 00:02:14,240 Speaker 2: not right. 36 00:02:14,800 --> 00:02:17,560 Speaker 4: Mm hmmmm mmm mmm yeah, just going down on the 37 00:02:17,600 --> 00:02:21,760 Speaker 4: whole fucking it's again, such a stupid strategy. You're like, 38 00:02:21,840 --> 00:02:25,480 Speaker 4: even the numbers don't favor you. Maybe like the one 39 00:02:25,480 --> 00:02:28,520 Speaker 4: thing if like ninety percent of Americans who were like 40 00:02:28,680 --> 00:02:31,799 Speaker 4: you know, adults had fucking children or something, but it's 41 00:02:31,800 --> 00:02:34,760 Speaker 4: like like less than fifty percent or sorry, yeah, yeah, 42 00:02:34,919 --> 00:02:37,480 Speaker 4: it's about half of people under fifty don't have kids. 43 00:02:37,680 --> 00:02:41,040 Speaker 1: So half of American adults under fifty don't have children. 44 00:02:41,240 --> 00:02:44,280 Speaker 1: So like between eighteen and fifty, uh, you know, the 45 00:02:44,320 --> 00:02:48,040 Speaker 1: people who are voting age and under fifty, half of. 46 00:02:48,000 --> 00:02:49,000 Speaker 2: Them don't have children. 47 00:02:49,360 --> 00:02:52,880 Speaker 1: Great, great, they're between twenty nine and thirty million step 48 00:02:52,880 --> 00:02:55,880 Speaker 1: parents in the US and they're like, y fuck you 49 00:02:56,600 --> 00:02:59,600 Speaker 1: and fos fuck you. 50 00:02:59,680 --> 00:03:02,000 Speaker 4: All the numbers are on our sides. Man, you can 51 00:03:02,080 --> 00:03:04,560 Speaker 4: have those twenty nine to thirty million, you can have half. 52 00:03:04,360 --> 00:03:05,560 Speaker 3: Of American adults. 53 00:03:06,400 --> 00:03:09,320 Speaker 4: That's uh, that's half the elect or whatever. 54 00:03:09,520 --> 00:03:09,760 Speaker 3: Yeah. 55 00:03:10,639 --> 00:03:13,600 Speaker 4: Yeah, it's just a stupid, stupid thing. Also, like why 56 00:03:13,639 --> 00:03:16,639 Speaker 4: are you the governor of Arkansas but you're doing a 57 00:03:16,760 --> 00:03:20,040 Speaker 4: town hall in Michigan. I guess just because you're doing 58 00:03:20,280 --> 00:03:25,240 Speaker 4: Trump type things. Yeah yeah, even like things yeah, like 59 00:03:25,360 --> 00:03:28,000 Speaker 4: even the Trump campaigns, like for Gottess, I think we 60 00:03:28,080 --> 00:03:29,160 Speaker 4: got to stop doing this. 61 00:03:29,480 --> 00:03:29,679 Speaker 6: Yeah. 62 00:03:29,760 --> 00:03:30,639 Speaker 2: Yeah. 63 00:03:30,720 --> 00:03:33,440 Speaker 1: There was a senior member of Trump's campaign who called 64 00:03:33,440 --> 00:03:34,640 Speaker 1: it actually offensive. 65 00:03:36,520 --> 00:03:40,240 Speaker 3: It's actually that's the line that they had to draw. 66 00:03:40,800 --> 00:03:42,560 Speaker 1: I mean, they must be like a step parent or 67 00:03:42,560 --> 00:03:45,960 Speaker 1: something and they can't look beyond their own self interest 68 00:03:46,080 --> 00:03:50,240 Speaker 1: or something, because it's a yeah, they're they're ive been 69 00:03:50,320 --> 00:03:51,680 Speaker 1: saying a lot of offensive shit. 70 00:03:51,800 --> 00:03:53,920 Speaker 2: It's interesting that this is the line in the sand. 71 00:03:54,120 --> 00:03:57,600 Speaker 1: But I guess because Sarah Sanders is not one of 72 00:03:57,640 --> 00:04:01,520 Speaker 1: the favored children or like a on the ticket, they 73 00:04:01,560 --> 00:04:04,400 Speaker 1: can just be like, Wow, Sarah. 74 00:04:04,080 --> 00:04:07,200 Speaker 3: That's fucked tho, why'd you do that? Why'd you? 75 00:04:07,360 --> 00:04:09,800 Speaker 4: But also interesting to be like, for something that has 76 00:04:09,800 --> 00:04:12,160 Speaker 4: been coming out of the campaign so consistently to be 77 00:04:12,240 --> 00:04:15,480 Speaker 4: someone who's actually advising the campaign, like that's actually offensive. 78 00:04:15,520 --> 00:04:17,200 Speaker 4: It's like, well, what about all the you know about 79 00:04:17,240 --> 00:04:20,599 Speaker 4: JD never mind, great ship, great operation you have you 80 00:04:20,600 --> 00:04:21,200 Speaker 4: have running here. 81 00:04:21,400 --> 00:04:24,400 Speaker 1: Yeah, it feels like when it feels like they're probably annoyed, 82 00:04:24,480 --> 00:04:27,360 Speaker 1: the JD Vance keeps doubling down on that, you know, 83 00:04:27,520 --> 00:04:30,480 Speaker 1: approach to the voters of being like, right, if you 84 00:04:30,520 --> 00:04:33,240 Speaker 1: don't have kids, you're fucking weird. But they like haven't 85 00:04:33,279 --> 00:04:35,760 Speaker 1: been able to say anything because his name's on the ticket, 86 00:04:35,960 --> 00:04:37,480 Speaker 1: So now they're finally like. 87 00:04:37,720 --> 00:04:41,040 Speaker 3: What the fuck Sarah, Yeah, cool, what. 88 00:04:40,960 --> 00:04:41,600 Speaker 4: Did you do? 89 00:04:42,680 --> 00:04:43,320 Speaker 3: Oh man? 90 00:04:43,720 --> 00:04:47,159 Speaker 4: And we get it here at Trump Vance twenty twenty four. 91 00:04:47,400 --> 00:04:50,560 Speaker 4: That's offensive and we don't like it when anyone except 92 00:04:50,560 --> 00:04:52,920 Speaker 4: those two the two principles of the campaign do it. 93 00:04:53,080 --> 00:04:53,320 Speaker 3: Yeah. 94 00:04:53,360 --> 00:04:56,560 Speaker 4: But at that same time, at that whatever quote unquote 95 00:04:56,560 --> 00:04:58,960 Speaker 4: talent Hall, whatever you want to call it, like fucking 96 00:04:59,120 --> 00:05:00,240 Speaker 4: sundown Fest. 97 00:05:00,080 --> 00:05:03,279 Speaker 2: Again Sundowntown and sundown Fest. 98 00:05:03,040 --> 00:05:08,360 Speaker 4: Yeah, exactly, it's really great double rundown at the Sundowntown Sundowntown, 99 00:05:09,160 --> 00:05:12,839 Speaker 4: But no, five Dubould Flint is it Sundowntown. But he 100 00:05:12,960 --> 00:05:15,760 Speaker 4: kept like just rambling there was a question about like 101 00:05:15,839 --> 00:05:19,599 Speaker 4: she's like, President Trump, how will you bring prices down? 102 00:05:19,720 --> 00:05:22,039 Speaker 4: And I don't even I could play the clip, but 103 00:05:22,080 --> 00:05:25,720 Speaker 4: it's like fourteen minutes long. Well, the question was, how 104 00:05:25,760 --> 00:05:28,080 Speaker 4: will you bring prices down? He's like, well, first of all, 105 00:05:28,120 --> 00:05:31,200 Speaker 4: it's all about energy. Everything's tied to energy. Like he's doing, 106 00:05:31,240 --> 00:05:35,000 Speaker 4: he does this thing where rather than answer question, the exercises, 107 00:05:35,360 --> 00:05:37,880 Speaker 4: how do I tie your question to like the two 108 00:05:37,960 --> 00:05:41,360 Speaker 4: things I can kind of speak coherently about and making 109 00:05:42,080 --> 00:05:45,880 Speaker 4: the reason and late grade Hannibal Elector and those Erector 110 00:05:46,000 --> 00:05:50,280 Speaker 4: sets were fantastic. But anyway, talking about windmills, he was 111 00:05:50,279 --> 00:05:52,680 Speaker 4: talking about fucking farmers who were like had tears in 112 00:05:52,720 --> 00:05:54,560 Speaker 4: their eyes and like all this weird shit. 113 00:05:54,720 --> 00:05:56,280 Speaker 3: It just was. It was nothing. 114 00:05:56,680 --> 00:06:00,719 Speaker 4: Then he also, this guy is fucking like he's so 115 00:06:00,920 --> 00:06:03,719 Speaker 4: cooked he doesn't even know he talks about Bogrum Air 116 00:06:03,720 --> 00:06:05,760 Speaker 4: Force Base. I'm gonna just play a clip for you 117 00:06:05,800 --> 00:06:07,240 Speaker 4: and we can talk about it. On the other side, 118 00:06:07,640 --> 00:06:12,200 Speaker 4: when he's talking about energy independence but in a really 119 00:06:12,480 --> 00:06:13,279 Speaker 4: stupid way. 120 00:06:13,520 --> 00:06:14,719 Speaker 6: We're energy independent. 121 00:06:15,120 --> 00:06:17,120 Speaker 3: We were soon going to be energy. 122 00:06:16,839 --> 00:06:20,080 Speaker 6: Dominant, and we would have been now having so much 123 00:06:20,120 --> 00:06:22,400 Speaker 6: money coming out of the energy where we just have 124 00:06:22,520 --> 00:06:26,560 Speaker 6: the best. We have Bogram in Alaska. They say it 125 00:06:26,640 --> 00:06:29,440 Speaker 6: might be as big, might be bigger than all of 126 00:06:29,520 --> 00:06:30,320 Speaker 6: Saudi Arabia. 127 00:06:30,760 --> 00:06:33,320 Speaker 3: I got it. Ronald Reagan couldn't do it. Nobody could 128 00:06:33,320 --> 00:06:33,480 Speaker 3: do it. 129 00:06:33,520 --> 00:06:35,400 Speaker 6: I got it done in their first week. 130 00:06:35,839 --> 00:06:38,680 Speaker 4: I'm sorry. So for those yeah, exactly, bog I feel 131 00:06:38,720 --> 00:06:40,800 Speaker 4: like I heard that, but I thought that was in 132 00:06:40,839 --> 00:06:45,159 Speaker 4: relation to the Afghanistan withdrawal, because that's a air Force 133 00:06:45,200 --> 00:06:49,359 Speaker 4: base in Afghanistan. And so he's like, we've got Bagram 134 00:06:49,400 --> 00:06:52,599 Speaker 4: at home, folks, and you're like, what are you talking 135 00:06:52,600 --> 00:06:56,200 Speaker 4: about now, I'm not doing the what Aaron Rupar has 136 00:06:56,279 --> 00:07:00,760 Speaker 4: coined as sinewashing. The thing he's probably talking about Alaska 137 00:07:00,760 --> 00:07:03,560 Speaker 4: that had the potential for a lot of oil was 138 00:07:03,720 --> 00:07:07,479 Speaker 4: anwar a n w R. That's the Arctic National Wildlife 139 00:07:07,520 --> 00:07:11,080 Speaker 4: Refuge that he did approve. But then shit, just like 140 00:07:11,240 --> 00:07:12,800 Speaker 4: it just wasn't happening at the end of the day. 141 00:07:12,840 --> 00:07:16,080 Speaker 4: So but begain because he's so senile and is unable 142 00:07:16,120 --> 00:07:17,960 Speaker 4: to say that out loud in a coherent way, He's 143 00:07:18,000 --> 00:07:22,320 Speaker 4: just like that, that's we've got so much bogrum in Alaska, 144 00:07:22,400 --> 00:07:25,320 Speaker 4: it'll make you go and war. And then he like 145 00:07:25,400 --> 00:07:27,320 Speaker 4: goes back. I don't know why. It sounded like he 146 00:07:27,440 --> 00:07:30,360 Speaker 4: was trying to have like someone may have clarified to him. 147 00:07:30,360 --> 00:07:32,600 Speaker 4: He's like, why don't you look that up? Bogram as 148 00:07:32,600 --> 00:07:34,640 Speaker 4: if like maybe he is like, don't maybe, I don't 149 00:07:34,640 --> 00:07:37,080 Speaker 4: know what the fuck I'm talking about. Here's him coming 150 00:07:37,160 --> 00:07:43,520 Speaker 4: back to Bogrum and war whatever year. Go take it away, Donald. 151 00:07:43,440 --> 00:07:47,040 Speaker 6: Check that one out, bog check that one out on 152 00:07:47,600 --> 00:07:52,880 Speaker 6: It's it's you know, think about this between bogram between 153 00:07:53,360 --> 00:07:55,920 Speaker 6: you go to an war? 154 00:07:56,720 --> 00:07:57,679 Speaker 3: Oh you remember? 155 00:07:58,480 --> 00:07:59,480 Speaker 4: Yeah? 156 00:07:59,560 --> 00:08:01,720 Speaker 3: Again, this is this guy. 157 00:08:02,400 --> 00:08:06,200 Speaker 4: He's in free fall, like he can't say anything that 158 00:08:06,240 --> 00:08:10,080 Speaker 4: makes sense. But it was so bad. Dude, Fox, who 159 00:08:10,160 --> 00:08:14,200 Speaker 4: normally will play everything he says, you know, like like 160 00:08:14,320 --> 00:08:16,680 Speaker 4: all of his remarks fully they are now I think 161 00:08:16,720 --> 00:08:18,920 Speaker 4: they realize the best way for them to help the 162 00:08:18,960 --> 00:08:22,880 Speaker 4: Trump campaign is to limit people's ability to view what 163 00:08:22,920 --> 00:08:25,600 Speaker 4: he's saying all the time, because it just starts falling apart. 164 00:08:25,840 --> 00:08:28,480 Speaker 4: This is on Fox or like Laura Ingram's like, all 165 00:08:28,560 --> 00:08:31,560 Speaker 4: right now, let's throw it over to like drunk judge 166 00:08:31,640 --> 00:08:35,040 Speaker 4: Janine Piro to make sense of this, Like mid sentence 167 00:08:35,080 --> 00:08:36,040 Speaker 4: for him talking. 168 00:08:36,720 --> 00:08:39,680 Speaker 6: We're gonna seal the border immediately, We're gonna drill, baby, drill. 169 00:08:39,760 --> 00:08:40,640 Speaker 5: You know, we're gonna. 170 00:08:40,400 --> 00:08:41,120 Speaker 2: Drill at a level. 171 00:08:41,160 --> 00:08:43,080 Speaker 6: We're gonna bring your energy prices down. 172 00:08:43,920 --> 00:08:46,160 Speaker 4: Join me now, Judging and Erra co host on the 173 00:08:46,160 --> 00:08:49,600 Speaker 4: five We're gonna dip back in frum Sevant with Sarah 174 00:08:49,640 --> 00:08:58,320 Speaker 4: Huckabee Sanders Boom. So yeah, it's just it's and yet 175 00:08:58,360 --> 00:09:01,920 Speaker 4: the biggest, uh what the biggest threat to manufacturing in 176 00:09:02,000 --> 00:09:04,320 Speaker 4: Michigan was, And he was. 177 00:09:04,280 --> 00:09:11,160 Speaker 1: Like nuclear weapons, which was, you know, I mean that 178 00:09:11,160 --> 00:09:14,400 Speaker 1: that would be bad, that would be bad for manufacturing 179 00:09:14,400 --> 00:09:17,439 Speaker 1: in Michigan. And then he also spent the longest, most 180 00:09:17,520 --> 00:09:23,360 Speaker 1: coherent portion of that PEP rally was him talking about 181 00:09:23,360 --> 00:09:25,960 Speaker 1: how good his answers usually are, and he's like, I 182 00:09:26,000 --> 00:09:28,040 Speaker 1: talk about Hannibal Lecter, I talk about but I bring 183 00:09:28,080 --> 00:09:30,680 Speaker 1: it all back around in the end and it's so 184 00:09:30,880 --> 00:09:34,320 Speaker 1: perfect and nobody wants to give me credit. So he 185 00:09:34,360 --> 00:09:37,600 Speaker 1: can still talk about like how sick his answers are. 186 00:09:37,640 --> 00:09:42,160 Speaker 1: He just can't actually answer anything because then it gets, uh, 187 00:09:42,640 --> 00:09:43,640 Speaker 1: I don't know, a little fog. 188 00:09:43,840 --> 00:09:46,040 Speaker 4: That's where that's where we are, folks, that's where we are. 189 00:09:46,200 --> 00:09:46,520 Speaker 3: Media. 190 00:09:46,559 --> 00:09:49,280 Speaker 4: Why don't you that's just change your rhetoric to dude, 191 00:09:49,280 --> 00:09:51,680 Speaker 4: this dude is so old, you didn't even we don't 192 00:09:51,679 --> 00:09:52,640 Speaker 4: even know what he's saying. 193 00:09:52,920 --> 00:09:53,439 Speaker 3: Yeah. 194 00:09:53,600 --> 00:09:57,720 Speaker 1: Meanwhile, the first like really positive polling news for Trump 195 00:09:57,840 --> 00:10:00,480 Speaker 1: I've seen in a long time, and this is I 196 00:10:00,520 --> 00:10:03,560 Speaker 1: think troubly. I mean, I know it's a small sample size, 197 00:10:03,640 --> 00:10:09,160 Speaker 1: but the Teamster members of the Teamsters union were pulled 198 00:10:09,400 --> 00:10:13,280 Speaker 1: in advance of the union like deciding who they would 199 00:10:13,400 --> 00:10:18,400 Speaker 1: endorse in the presidential election, and they preferred Trump to 200 00:10:18,600 --> 00:10:22,120 Speaker 1: Kamala Harris two to one sixty percent, almost two to 201 00:10:22,120 --> 00:10:24,760 Speaker 1: one sixty percent to thirty four percent who backed Harris. 202 00:10:25,080 --> 00:10:29,080 Speaker 1: A separate survey conducted via phone similarly had Trump up 203 00:10:29,120 --> 00:10:31,880 Speaker 1: big fifty eight percent to thirty one percent, which I 204 00:10:31,960 --> 00:10:36,000 Speaker 1: was like, okay, but maybe that's just usual for this 205 00:10:36,200 --> 00:10:40,360 Speaker 1: group of people. But they actually had Biden ahead of 206 00:10:40,400 --> 00:10:44,600 Speaker 1: Trump among Teamsters forty six percent to thirty seven percent, 207 00:10:44,880 --> 00:10:47,120 Speaker 1: like when Biden was still running. So I don't know 208 00:10:47,200 --> 00:10:49,640 Speaker 1: exactly what the fuck is going on there, but this 209 00:10:50,200 --> 00:10:52,560 Speaker 1: is the first piece of news I've heard in a 210 00:10:52,559 --> 00:10:53,360 Speaker 1: while where I'm. 211 00:10:53,200 --> 00:10:54,480 Speaker 3: Like, ah, fuck, we're fucked. 212 00:10:54,520 --> 00:10:57,000 Speaker 2: It's it's happening again, It's going to happen again. 213 00:10:57,120 --> 00:10:59,680 Speaker 4: Well, I mean, there's so much there's so much labor 214 00:11:00,000 --> 00:11:02,480 Speaker 4: shit happening right now. You have like thirty three thousand 215 00:11:02,520 --> 00:11:06,719 Speaker 4: people striking at Boeing. They're like dock workers who are 216 00:11:06,720 --> 00:11:11,559 Speaker 4: also at least like potentially on like October first, there 217 00:11:11,559 --> 00:11:14,120 Speaker 4: could be around twenty five thousand dock workers all along 218 00:11:14,120 --> 00:11:17,600 Speaker 4: like the Eastern seaboard that would go on strike. That's huge, Like, 219 00:11:17,600 --> 00:11:21,800 Speaker 4: that's that would be very disruptive. And you're like like 220 00:11:21,920 --> 00:11:25,440 Speaker 4: maybe you can talk if you walk the picket lines 221 00:11:25,520 --> 00:11:29,559 Speaker 4: or something to something to show a little bit more. Yeah, 222 00:11:29,600 --> 00:11:33,200 Speaker 4: like you have you got their backs. But yeah, it's 223 00:11:33,200 --> 00:11:35,760 Speaker 4: just like the Democrats haven't really said much on the 224 00:11:35,800 --> 00:11:41,200 Speaker 4: Boeing strike at all, but you'd think, like in terms 225 00:11:41,240 --> 00:11:43,360 Speaker 4: of this like getting as much union support as possible, 226 00:11:43,360 --> 00:11:45,320 Speaker 4: when you have these kinds of moments like with dock 227 00:11:45,400 --> 00:11:48,240 Speaker 4: workers or you know, people working at like an aerospace company, 228 00:11:48,240 --> 00:11:51,720 Speaker 4: you can be like, yeah, man, that's like like even 229 00:11:52,040 --> 00:11:54,280 Speaker 4: like when Biden was doing the minimum minimum, I mean 230 00:11:54,280 --> 00:11:56,840 Speaker 4: granted he did walk the picket line, was just like, yeah, 231 00:11:56,880 --> 00:11:59,400 Speaker 4: they deserve it. It's like just yeah, that's the kind 232 00:11:59,440 --> 00:12:02,240 Speaker 4: of stuff they're looking for. But yeah, I mean Sean 233 00:12:02,280 --> 00:12:05,720 Speaker 4: O'Brien also, I think just made it very palatable for 234 00:12:05,760 --> 00:12:09,240 Speaker 4: them to fully yeah, yeah, just be like like just 235 00:12:09,280 --> 00:12:11,480 Speaker 4: take the mask off and be like yeah, come on, baby, like. 236 00:12:11,480 --> 00:12:13,719 Speaker 3: Come on, we're all racist here. 237 00:12:13,760 --> 00:12:16,760 Speaker 1: Come on, all right, let's take a quick break and 238 00:12:16,920 --> 00:12:20,319 Speaker 1: we'll come back and talk about a new trailer that 239 00:12:21,320 --> 00:12:23,480 Speaker 1: captured my attention, has me excited. 240 00:12:23,760 --> 00:12:35,840 Speaker 2: We'll be right back, and we're back. 241 00:12:36,320 --> 00:12:36,880 Speaker 4: We're back. 242 00:12:37,080 --> 00:12:41,080 Speaker 1: And Bong June Hoe, who I don't think has released 243 00:12:41,120 --> 00:12:42,280 Speaker 1: anything since. 244 00:12:42,720 --> 00:12:45,600 Speaker 2: Has he made anything since Parasite, I don't think so. 245 00:12:45,640 --> 00:12:50,160 Speaker 1: He's been in the lab, just uh watching watching movies, 246 00:12:50,360 --> 00:12:53,520 Speaker 1: which one of my favorite facts about him is he 247 00:12:53,559 --> 00:12:55,800 Speaker 1: wakes up at five every morning and watches a movie. 248 00:12:56,320 --> 00:12:57,640 Speaker 3: Love love that for him. 249 00:12:58,520 --> 00:13:01,520 Speaker 1: He just dropped the trailer for his upcoming film Mickey 250 00:13:01,559 --> 00:13:07,680 Speaker 1: seventeen and its stars Robert Pattinson. It has it's like 251 00:13:08,080 --> 00:13:12,600 Speaker 1: the vibe of the trailer is two thousand and one 252 00:13:13,160 --> 00:13:17,440 Speaker 1: meets the Tom Cruise movie Edge of Tomorrow right Like 253 00:13:17,480 --> 00:13:20,480 Speaker 1: it's oh right, right, right yeah, looping death like I'm 254 00:13:20,520 --> 00:13:23,160 Speaker 1: dying over and over and over again, coming back to life. 255 00:13:23,320 --> 00:13:25,200 Speaker 1: But it looks it looks like a lot of fun. 256 00:13:25,440 --> 00:13:29,560 Speaker 4: I don't know, but it's like about basically some technology 257 00:13:29,679 --> 00:13:34,079 Speaker 4: where you consent to being replicated over and over, but 258 00:13:34,120 --> 00:13:35,880 Speaker 4: you're gonna die a bunch of times. But then they 259 00:13:35,880 --> 00:13:37,320 Speaker 4: can just print out a new body for you. 260 00:13:37,520 --> 00:13:41,160 Speaker 1: Yeah, and you somehow know that you've died and remember 261 00:13:41,320 --> 00:13:42,119 Speaker 1: your death. 262 00:13:42,080 --> 00:13:44,120 Speaker 4: Right, Yeah, which is usually when we talk about like 263 00:13:44,200 --> 00:13:47,240 Speaker 4: replicants and things like that, or you know, like a 264 00:13:47,280 --> 00:13:50,120 Speaker 4: body double that's been created. They typically feels like the 265 00:13:50,160 --> 00:13:52,600 Speaker 4: hard drive been wiped every time. But yeah, somehow you 266 00:13:52,640 --> 00:13:55,160 Speaker 4: get to have all your traumatic memories of all the 267 00:13:55,160 --> 00:14:00,280 Speaker 4: ways you've died. But it feels like like light hearted. 268 00:14:00,080 --> 00:14:06,560 Speaker 1: Yeah, lighthearted, darkly fun and chaotic, and I'm on board. 269 00:14:07,120 --> 00:14:09,520 Speaker 1: I'm righty baby, take me on June. 270 00:14:09,840 --> 00:14:13,280 Speaker 4: It's an adaptation I guess of it Edward Ashton. 271 00:14:12,960 --> 00:14:15,800 Speaker 3: Novel Okay found Out. Yeah, I'm here for it. 272 00:14:16,800 --> 00:14:20,080 Speaker 1: The FBI is investigating packages sent to election officials in 273 00:14:20,120 --> 00:14:23,080 Speaker 1: more than fifteen states, which I don't. 274 00:14:22,920 --> 00:14:24,640 Speaker 3: Know that this story is affected by. 275 00:14:24,760 --> 00:14:26,640 Speaker 2: Like, so they've recovered the packages. 276 00:14:27,360 --> 00:14:28,040 Speaker 3: They have like. 277 00:14:27,960 --> 00:14:29,040 Speaker 4: A white powder. 278 00:14:29,160 --> 00:14:32,120 Speaker 1: Yeah, there's a there's a mysterious substance. But this US 279 00:14:32,240 --> 00:14:35,760 Speaker 1: story obviously made me think about the wild story about 280 00:14:35,920 --> 00:14:41,560 Speaker 1: the pagers and radios blowing up in the pockets of Yeah, has. 281 00:14:41,480 --> 00:14:44,520 Speaker 4: Been like all that Yeah, that was That was like 282 00:14:44,560 --> 00:14:46,760 Speaker 4: something like even my friends were texting about. They're like, yo, 283 00:14:46,800 --> 00:14:49,720 Speaker 4: what the fuck was going on? Like page because it 284 00:14:49,800 --> 00:14:53,360 Speaker 4: said what twelve people were killed and then like tho, 285 00:14:53,720 --> 00:14:56,400 Speaker 4: like twenty seven hundred were wound injured. 286 00:14:56,520 --> 00:15:00,600 Speaker 1: Yeah, which, yeah, if you're just have a thousand things 287 00:15:00,640 --> 00:15:03,360 Speaker 1: explode all at the same time, you know, nobody is 288 00:15:03,440 --> 00:15:05,480 Speaker 1: looking out for being like, ah, we got to hold 289 00:15:05,480 --> 00:15:06,760 Speaker 1: off because this. 290 00:15:06,640 --> 00:15:08,640 Speaker 4: Person is like in a room full of kids, in a. 291 00:15:08,680 --> 00:15:09,720 Speaker 2: Room full of kids or whatever. 292 00:15:10,080 --> 00:15:13,120 Speaker 1: So my question was like, wait, do they just have 293 00:15:13,200 --> 00:15:16,800 Speaker 1: the ability to like overheat a device but they had 294 00:15:17,280 --> 00:15:20,680 Speaker 1: kid explosives in them ahead of time? But I think 295 00:15:20,760 --> 00:15:24,240 Speaker 1: that's I don't know, I think like that that I 296 00:15:24,240 --> 00:15:25,960 Speaker 1: think freaked a lot of people out because we're all 297 00:15:26,000 --> 00:15:29,400 Speaker 1: like a little bit afraid of what our phones are 298 00:15:29,600 --> 00:15:30,840 Speaker 1: doing to us from our part. 299 00:15:30,960 --> 00:15:32,240 Speaker 4: Feels like some black mirror shit. 300 00:15:32,280 --> 00:15:33,360 Speaker 3: Yeah, you know what I mean. 301 00:15:33,440 --> 00:15:36,440 Speaker 4: But no, this was actually, uh you know the Israeli 302 00:15:36,480 --> 00:15:39,480 Speaker 4: government tampering with pagers that made them go boom. 303 00:15:39,640 --> 00:15:40,640 Speaker 3: Yeah. Yeah. 304 00:15:40,680 --> 00:15:42,720 Speaker 4: And again like there was a video like one guy 305 00:15:42,720 --> 00:15:45,440 Speaker 4: was like in a grocery store and like just near 306 00:15:45,520 --> 00:15:47,920 Speaker 4: a bunch of people who had nothing to do with anything, Yes, 307 00:15:49,040 --> 00:15:51,840 Speaker 4: but hey, this is uh, you're taking them out. And 308 00:15:51,840 --> 00:15:53,000 Speaker 4: I think this is also a lot of people have 309 00:15:53,000 --> 00:15:55,040 Speaker 4: talked about how this is sort of like net and 310 00:15:55,080 --> 00:15:59,160 Speaker 4: Yahoo's way to respond to all the structural security failures 311 00:15:59,200 --> 00:16:01,200 Speaker 4: that happened on October over seventh is to have these 312 00:16:01,320 --> 00:16:07,840 Speaker 4: very big, dramatic, spectacular sort of reprisal assassinations, like whether 313 00:16:07,880 --> 00:16:10,040 Speaker 4: that's hitting you know, the head of Hamas in Tehran 314 00:16:10,360 --> 00:16:13,760 Speaker 4: or just having thousands of pagers or whatever, hundreds and 315 00:16:13,800 --> 00:16:15,200 Speaker 4: thousands of pagers go off at. 316 00:16:15,080 --> 00:16:18,240 Speaker 1: This blow up wherever they happen to be, which feels 317 00:16:18,320 --> 00:16:23,760 Speaker 1: like terrorism to just like be blowing things up regardless 318 00:16:23,800 --> 00:16:25,080 Speaker 1: of who is around. 319 00:16:25,280 --> 00:16:27,280 Speaker 4: Well, it depends on if you ask the US State 320 00:16:27,320 --> 00:16:31,600 Speaker 4: Department or maybe an international Court of justice. So it's 321 00:16:31,760 --> 00:16:33,600 Speaker 4: it's really it all depends on. 322 00:16:33,840 --> 00:16:39,000 Speaker 3: It's real great I was asking in this case, all right. 323 00:16:39,720 --> 00:16:42,800 Speaker 1: And then finally we mentioned earlier in the week that 324 00:16:42,880 --> 00:16:45,080 Speaker 1: the police shot two subway riders, one of them in 325 00:16:45,120 --> 00:16:49,440 Speaker 1: the fucking head earlier this week in New York City, 326 00:16:49,640 --> 00:16:52,880 Speaker 1: just to take down a quote fair evader, somebody who 327 00:16:53,120 --> 00:16:57,000 Speaker 1: had skipped the turnstile at the in the New York 328 00:16:57,000 --> 00:17:01,520 Speaker 1: City subway system. The fair Vader had a knife, which 329 00:17:01,560 --> 00:17:03,880 Speaker 1: he only produced once the cops chased him for not 330 00:17:03,920 --> 00:17:07,080 Speaker 1: paying at the gate. So now he's going to be 331 00:17:07,160 --> 00:17:10,720 Speaker 1: charged for attempted assault and two counts of fair evasion 332 00:17:11,840 --> 00:17:12,720 Speaker 1: because two counts. 333 00:17:12,800 --> 00:17:13,040 Speaker 4: Yeah. 334 00:17:13,119 --> 00:17:16,000 Speaker 1: Yes, at one point during the chase, he left the 335 00:17:16,040 --> 00:17:19,040 Speaker 1: station and then came back in through an emergency exit, 336 00:17:20,160 --> 00:17:21,840 Speaker 1: so oh oh okay. 337 00:17:21,640 --> 00:17:24,600 Speaker 4: Really to make sure yeah, yeah, yeah, make sure you 338 00:17:24,640 --> 00:17:29,080 Speaker 4: throw that other fucking fair evasion onto the What the 339 00:17:29,119 --> 00:17:29,720 Speaker 4: fuck is this? 340 00:17:29,840 --> 00:17:30,199 Speaker 3: Yeah? 341 00:17:30,200 --> 00:17:33,359 Speaker 4: And I think it just shows the like we say, 342 00:17:33,400 --> 00:17:36,760 Speaker 4: a need to decriminalize this kind of shit, because it's 343 00:17:36,800 --> 00:17:40,080 Speaker 4: only like every argument that's you know, saying like, well 344 00:17:40,080 --> 00:17:42,520 Speaker 4: they lose so much money, right, you know, these these 345 00:17:42,640 --> 00:17:45,920 Speaker 4: transit systems lose so much money or it becomes much safer. 346 00:17:46,480 --> 00:17:49,160 Speaker 4: That's why we have to criminalize everything. It's like that's 347 00:17:49,240 --> 00:17:51,640 Speaker 4: really not supported by a lot of the data that's 348 00:17:51,640 --> 00:17:52,080 Speaker 4: out there. 349 00:17:52,280 --> 00:17:52,520 Speaker 3: Yeah. 350 00:17:52,560 --> 00:17:54,600 Speaker 1: I mean, New York City spent two hundred and forty 351 00:17:54,640 --> 00:17:58,000 Speaker 1: nine million dollars on cops who are specifically there to 352 00:17:58,040 --> 00:18:02,560 Speaker 1: battle fair evasion for four years, which the MTA claimed 353 00:18:02,560 --> 00:18:07,119 Speaker 1: would cost them two hundred million dollars. But I can't 354 00:18:07,119 --> 00:18:10,240 Speaker 1: imagine that's in any way true but if so, you're 355 00:18:10,280 --> 00:18:12,040 Speaker 1: not still not coming out even. 356 00:18:12,320 --> 00:18:14,560 Speaker 4: Yeah, we're only fifty million in the hole after that. 357 00:18:14,920 --> 00:18:18,680 Speaker 1: Yeah, experts have found no evidence that lighter penalties for 358 00:18:18,800 --> 00:18:22,480 Speaker 1: fair evasion would lead to greater revenue loss for transit agencies. 359 00:18:23,160 --> 00:18:26,080 Speaker 1: And revenue loss is kind of the argument that these 360 00:18:26,119 --> 00:18:29,800 Speaker 1: people always put boys, Yeah, it's like that it's actually 361 00:18:29,800 --> 00:18:32,480 Speaker 1: costing us revenue, which you would think they would be like, no, 362 00:18:32,560 --> 00:18:34,159 Speaker 1: we're just like committed to safety. 363 00:18:34,200 --> 00:18:37,360 Speaker 4: Have you seen the state of the New York subway system? Right, 364 00:18:37,760 --> 00:18:40,600 Speaker 4: Like where does that money go? Because every time, like 365 00:18:40,640 --> 00:18:43,280 Speaker 4: I'm every time I've been there, and when I have 366 00:18:43,400 --> 00:18:44,960 Speaker 4: my friends in New York send me said like when 367 00:18:44,960 --> 00:18:49,760 Speaker 4: it rains, you're like, ah, how much money? Like how 368 00:18:49,880 --> 00:18:51,880 Speaker 4: how how? How how worthy improvement? 369 00:18:52,000 --> 00:18:54,679 Speaker 1: And the overwhelming conclusion from experts who looked into it 370 00:18:54,720 --> 00:18:58,240 Speaker 1: is that fair enforcement is inherently racist and disproportionately targets 371 00:18:58,280 --> 00:19:01,639 Speaker 1: people of color. In New York City in twenty eighteen, 372 00:19:01,880 --> 00:19:05,800 Speaker 1: ninety four percent of people arrested for fair evasion were black. 373 00:19:07,080 --> 00:19:10,560 Speaker 1: So ninety four yeah, interesting. 374 00:19:11,240 --> 00:19:11,560 Speaker 3: Yeah. 375 00:19:11,560 --> 00:19:15,000 Speaker 1: And then the other point that people make, like Gavin 376 00:19:15,280 --> 00:19:19,719 Speaker 1: Newsome for the build, Yeah, we had a bill to 377 00:19:20,080 --> 00:19:24,200 Speaker 1: decriminalize fair evasion and sent it back, and his two 378 00:19:24,280 --> 00:19:28,960 Speaker 1: arguments were loss of money, like loss of revenue because 379 00:19:29,080 --> 00:19:34,040 Speaker 1: so many people use empty the metro in LA but 380 00:19:34,600 --> 00:19:39,800 Speaker 1: loss of revenue, and also like the danger to riders. 381 00:19:40,720 --> 00:19:46,040 Speaker 1: But the decriminalizing fair evasion would actually make transit less 382 00:19:46,119 --> 00:19:51,640 Speaker 1: dangerous according to studies. One report concluded that transit systems 383 00:19:51,640 --> 00:19:55,080 Speaker 1: that rely on policing make their riders less safe. And 384 00:19:55,680 --> 00:19:57,400 Speaker 1: all you have to do is look at the news 385 00:19:57,400 --> 00:19:58,640 Speaker 1: story from earlier this month. 386 00:19:58,680 --> 00:20:01,800 Speaker 4: Seriously, Oh, someone had a bullet hit their head for 387 00:20:01,960 --> 00:20:04,960 Speaker 4: two dollars and ninety cents or two hundred and forty 388 00:20:05,080 --> 00:20:07,720 Speaker 4: nine million. I don't even use whatever figure you want 389 00:20:07,760 --> 00:20:10,200 Speaker 4: over that. But again, it's just like this idea that 390 00:20:10,560 --> 00:20:14,960 Speaker 4: suddenly when money revenues are a lot, like the state 391 00:20:15,040 --> 00:20:18,119 Speaker 4: loses out on revenue, then you can shoot people or 392 00:20:18,240 --> 00:20:19,760 Speaker 4: chase them and put others in danger. 393 00:20:20,080 --> 00:20:21,760 Speaker 1: I do feel like the way you put that is 394 00:20:21,800 --> 00:20:23,680 Speaker 1: how the New York Daily News and New York Post 395 00:20:23,720 --> 00:20:26,120 Speaker 1: would put it. Someone had a bullet hit their head. 396 00:20:26,480 --> 00:20:29,640 Speaker 3: Yeah, it's completely it hit my head. Yeah they throw 397 00:20:29,720 --> 00:20:33,400 Speaker 3: it bullet, they blew it at my head. Yeah, sure 398 00:20:33,400 --> 00:20:35,600 Speaker 3: they threw it. I don't know, but a little bit 399 00:20:36,280 --> 00:20:37,320 Speaker 3: probably raised it. 400 00:20:37,880 --> 00:20:40,640 Speaker 4: But you look at again, like what we even see 401 00:20:40,680 --> 00:20:43,400 Speaker 4: as like the ability to move from like what's offered 402 00:20:43,440 --> 00:20:48,040 Speaker 4: by a municipality, state government. It's like these things should 403 00:20:48,040 --> 00:20:52,080 Speaker 4: be very affordable or fucking take a note from the 404 00:20:52,119 --> 00:20:56,080 Speaker 4: Europeans man advocate for like make that shit free. Yeah, 405 00:20:56,359 --> 00:20:58,200 Speaker 4: like how I just didn't even know that there were 406 00:20:58,200 --> 00:21:01,240 Speaker 4: like groups in the Europe were like yeah, bro, like 407 00:21:01,280 --> 00:21:04,240 Speaker 4: we're here to fucking like pay your fines if you 408 00:21:04,280 --> 00:21:05,320 Speaker 4: want to, if you want to do. 409 00:21:05,280 --> 00:21:08,840 Speaker 1: Some fa Harris and Sweden both have organizations that were 410 00:21:08,880 --> 00:21:14,680 Speaker 1: created to basically do community funded insurance systems for riders, 411 00:21:15,000 --> 00:21:18,360 Speaker 1: so you just never pay your fare. There's this central 412 00:21:18,440 --> 00:21:22,280 Speaker 1: fund that everybody pays a little bit into every month, 413 00:21:22,600 --> 00:21:25,560 Speaker 1: like less they pay in less than the cost of transit, 414 00:21:25,960 --> 00:21:29,800 Speaker 1: and then if somebody does get fined, the fund pays 415 00:21:29,800 --> 00:21:33,160 Speaker 1: for it, and like this is not a secret thing. 416 00:21:33,160 --> 00:21:37,560 Speaker 1: In Sweden, they have booths set up outside of stations 417 00:21:38,080 --> 00:21:41,120 Speaker 1: and hand out flyers as well as free coffee and cookies, 418 00:21:41,359 --> 00:21:44,040 Speaker 1: so they're just like, hey, like this should be free. 419 00:21:44,520 --> 00:21:48,359 Speaker 1: Here's our fun booth, have a cookie and talk to 420 00:21:48,440 --> 00:21:49,440 Speaker 1: us for a minute. 421 00:21:49,640 --> 00:21:51,680 Speaker 4: That's just a way better deal too. It's like, well, 422 00:21:51,680 --> 00:21:54,320 Speaker 4: what's like the monthly If I had to pay for 423 00:21:54,359 --> 00:21:57,840 Speaker 4: a monthly transit pass, that's like, well like five times 424 00:21:57,840 --> 00:21:59,440 Speaker 4: what I got to do to just pay for my fare. 425 00:21:59,480 --> 00:22:03,680 Speaker 4: Dodging insurance. It makes more sense financially, but it makes 426 00:22:03,680 --> 00:22:04,080 Speaker 4: more sense. 427 00:22:04,080 --> 00:22:06,479 Speaker 1: Their goal isn't just to save money, it's to promote 428 00:22:06,480 --> 00:22:09,280 Speaker 1: the fact, like you said, Miles, that public mobility should 429 00:22:09,320 --> 00:22:12,919 Speaker 1: be viewed as an inherent right, and that this is 430 00:22:13,000 --> 00:22:16,919 Speaker 1: just the first step. Eliminating the fair entirely would promote 431 00:22:16,960 --> 00:22:21,080 Speaker 1: mobility as a human right. Could be us, but we're 432 00:22:21,440 --> 00:22:25,600 Speaker 1: a little too capitalism brained, Like, no such thing free ride. 433 00:22:25,600 --> 00:22:29,280 Speaker 4: Come on the Nimbi people in this country, the idea 434 00:22:29,480 --> 00:22:32,760 Speaker 4: of anyone being able to go wherever in their town 435 00:22:33,040 --> 00:22:37,359 Speaker 4: for free, they'd be like, no, not no, no, have 436 00:22:37,440 --> 00:22:41,320 Speaker 4: to be we have to be insulated by our socioeconomic class. 437 00:22:41,720 --> 00:22:44,080 Speaker 4: And if you can afford to get here them, fine, 438 00:22:44,440 --> 00:22:46,840 Speaker 4: But if you can't stay your ass where you can 439 00:22:46,880 --> 00:22:48,760 Speaker 4: afford to go, because fuck all that. 440 00:22:48,880 --> 00:22:50,000 Speaker 3: Fully at all? 441 00:22:50,560 --> 00:22:52,960 Speaker 1: All right, those are some of the things that are 442 00:22:53,040 --> 00:22:55,760 Speaker 1: trending on this Wednesday, September eighteenth. 443 00:22:55,880 --> 00:22:58,200 Speaker 2: We are back tomorrow. 444 00:22:57,720 --> 00:23:00,520 Speaker 1: With the whole last episode of the show and until then, 445 00:23:00,680 --> 00:23:03,120 Speaker 1: be kind to each other, be kind to yourselves, get 446 00:23:03,160 --> 00:23:06,800 Speaker 1: the vaccine, don't do nothing about white supremacy, and we 447 00:23:06,840 --> 00:23:08,480 Speaker 1: will talk to you all tomorrow. 448 00:23:08,640 --> 00:23:13,520 Speaker 4: Bye bye,