1 00:00:00,240 --> 00:00:03,560 Speaker 1: Hello the Internet, and welcome to this episode of the 2 00:00:03,600 --> 00:00:08,440 Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from 3 00:00:08,640 --> 00:00:19,440 Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza. Yeah, So, 4 00:00:19,880 --> 00:00:24,040 Speaker 1: without further ado, here is the Weekly Zeitgeist. 5 00:00:25,160 --> 00:00:25,640 Speaker 2: Miles. 6 00:00:25,680 --> 00:00:28,680 Speaker 1: We are thrilled to be joined in our third seat 7 00:00:28,720 --> 00:00:32,960 Speaker 1: by an author, musician, Yes, and podcast host of the 8 00:00:33,440 --> 00:00:37,680 Speaker 1: Anarchists Survivalist podcast Live Like the World Is Dying and 9 00:00:38,159 --> 00:00:42,880 Speaker 1: the Cool Zone Media Robert and Sophie Lickterman's Cool Zone 10 00:00:42,920 --> 00:00:47,240 Speaker 1: Media podcast Cool People Who Did Cool Stuff? Please welcome 11 00:00:47,520 --> 00:00:48,400 Speaker 1: Margaret kill. 12 00:00:48,280 --> 00:00:53,519 Speaker 3: John that's me. I didn't prepare a song. I'm sorry. 13 00:00:54,120 --> 00:00:56,640 Speaker 3: AKA Magpie that's right, Yeah right, that's right. 14 00:00:57,000 --> 00:00:57,200 Speaker 1: Yeah. 15 00:00:57,240 --> 00:00:59,040 Speaker 4: What's the thing about Magpie is the bird? 16 00:01:00,080 --> 00:01:04,200 Speaker 3: Like what did they steal things? Yeah? That is how 17 00:01:04,240 --> 00:01:04,920 Speaker 3: I got the name. 18 00:01:05,520 --> 00:01:08,600 Speaker 1: Oh really they steal shiny stuff, right, and like build 19 00:01:08,760 --> 00:01:12,280 Speaker 1: a little shiny like bachelor pad thing to impress. 20 00:01:12,840 --> 00:01:16,720 Speaker 3: Yeah, they're a shiny object collector. Like like crows and ravens, 21 00:01:16,720 --> 00:01:17,760 Speaker 3: they're pretty related. 22 00:01:17,880 --> 00:01:19,840 Speaker 5: Do they have the same like memory too? Like how 23 00:01:19,880 --> 00:01:21,920 Speaker 5: crows would be like yo, focal one crow. It could 24 00:01:21,959 --> 00:01:23,200 Speaker 5: be smoke from the whole murder. 25 00:01:23,959 --> 00:01:26,240 Speaker 3: I think so only a group of magpies is called 26 00:01:26,280 --> 00:01:26,800 Speaker 3: it tiding. 27 00:01:27,720 --> 00:01:29,039 Speaker 2: Oh that's so much nicer. 28 00:01:29,720 --> 00:01:31,720 Speaker 3: Yeah, that's I mean, I like to take it as 29 00:01:31,800 --> 00:01:33,400 Speaker 3: ominous instead of direct. 30 00:01:33,560 --> 00:01:37,840 Speaker 1: But right, tidings to you, they say before they rob 31 00:01:37,920 --> 00:01:38,400 Speaker 1: your ass. 32 00:01:38,959 --> 00:01:39,679 Speaker 3: Yeah exactly. 33 00:01:40,160 --> 00:01:41,920 Speaker 4: Well wait what were you what were you stealing? 34 00:01:42,000 --> 00:01:42,920 Speaker 2: What were you coming up on. 35 00:01:42,920 --> 00:01:43,440 Speaker 4: All the time? 36 00:01:44,080 --> 00:01:47,520 Speaker 3: Mostly food and books, I guess when I was twenty. Yeah, 37 00:01:47,640 --> 00:01:49,680 Speaker 3: I got it for two reasons. One, I would like 38 00:01:49,760 --> 00:01:52,240 Speaker 3: find little rusty and shiny things in like the street. 39 00:01:52,240 --> 00:01:53,640 Speaker 3: When I was walking around I was I was like 40 00:01:53,640 --> 00:01:56,440 Speaker 3: a crosspunk squad, and so I would pick up little 41 00:01:56,480 --> 00:01:58,720 Speaker 3: rusty things and make weird bad jewelry with it, eventually 42 00:01:59,240 --> 00:02:01,480 Speaker 3: learn how to make better. And then the other thing is, 43 00:02:01,520 --> 00:02:04,200 Speaker 3: yeah I used to shoplift, Yeah, like it was my 44 00:02:04,280 --> 00:02:06,480 Speaker 3: job because it kind of was, because it's how I 45 00:02:06,560 --> 00:02:08,120 Speaker 3: fed myself and my friends. 46 00:02:08,400 --> 00:02:08,840 Speaker 2: Yeah. 47 00:02:09,280 --> 00:02:10,600 Speaker 3: I would never advocate. 48 00:02:11,760 --> 00:02:12,959 Speaker 4: Oh whatever, do whatever you want. 49 00:02:13,160 --> 00:02:15,960 Speaker 1: Yeah, yeah, whatever it is, do what you gotta do, 50 00:02:16,080 --> 00:02:20,800 Speaker 1: what you gotta do. What is something from your search history? 51 00:02:20,880 --> 00:02:23,920 Speaker 6: Okay, So I've talked about this previously on this podcast. 52 00:02:24,000 --> 00:02:27,040 Speaker 6: I recently started working out with a personal trainer, So 53 00:02:27,080 --> 00:02:30,639 Speaker 6: because of that, I'm really obsessed with macros like macro nutrients, 54 00:02:30,639 --> 00:02:33,240 Speaker 6: making sure I'm eating the right amount of protein. So 55 00:02:33,280 --> 00:02:36,560 Speaker 6: my most recent search history was how much protein is 56 00:02:36,600 --> 00:02:40,519 Speaker 6: in brunch? And I was really stressed while I was 57 00:02:40,560 --> 00:02:42,720 Speaker 6: googling it. My girlfriend and I took out the brunch 58 00:02:42,720 --> 00:02:44,680 Speaker 6: on Sunday and I was just like, oh, shoot too shit, 59 00:02:44,760 --> 00:02:46,119 Speaker 6: Can I make this work with my macros? 60 00:02:47,280 --> 00:02:47,520 Speaker 2: Yeah? 61 00:02:48,200 --> 00:02:53,040 Speaker 6: Macros are like protein, like the like protein carbs and 62 00:02:53,120 --> 00:02:55,440 Speaker 6: like protein carbs and fat. 63 00:02:56,120 --> 00:02:59,239 Speaker 2: Was it just a fistful of hollow day sauce? 64 00:03:00,440 --> 00:03:03,320 Speaker 6: Yes, yes, I asked them to sprinkle a little bit 65 00:03:03,320 --> 00:03:06,120 Speaker 6: of chicken into it, just to protein. 66 00:03:07,320 --> 00:03:10,400 Speaker 7: It's like a sippy cup of holiday one holiday sauce, 67 00:03:10,560 --> 00:03:11,480 Speaker 7: one chicken. 68 00:03:11,200 --> 00:03:15,560 Speaker 1: Brass, one holidays please. Yeah, yeah, I love holiday sauce 69 00:03:15,639 --> 00:03:19,800 Speaker 1: with French fries. And the macros on that not good? 70 00:03:21,000 --> 00:03:21,480 Speaker 1: Not good. 71 00:03:21,840 --> 00:03:22,840 Speaker 2: Look you can off set it. 72 00:03:22,840 --> 00:03:24,240 Speaker 6: If you can off set it if you eat some 73 00:03:24,280 --> 00:03:26,000 Speaker 6: just pure slim gems for dinner later. 74 00:03:27,240 --> 00:03:29,320 Speaker 1: Are slim gyms good macros. 75 00:03:29,840 --> 00:03:32,600 Speaker 6: So a lot of the struggles macros is making sure 76 00:03:32,639 --> 00:03:35,480 Speaker 6: that you have like a good protein protein to calorie ratio, 77 00:03:35,520 --> 00:03:37,880 Speaker 6: and sims do have a very good protein calorie ratio. 78 00:03:38,640 --> 00:03:45,160 Speaker 1: Yes, yes, the sodium like compounds that I. 79 00:03:45,600 --> 00:03:48,080 Speaker 6: Just don't even think about. Oka for sure, I'm for 80 00:03:48,080 --> 00:03:50,960 Speaker 6: sure getting mummified from the inside based on my diet 81 00:03:51,040 --> 00:03:54,040 Speaker 6: right now, right but my protein is but my protein 82 00:03:54,160 --> 00:03:54,840 Speaker 6: level is good. 83 00:03:55,080 --> 00:03:58,080 Speaker 1: They're gonna find your liver in forty five thousand years 84 00:03:58,120 --> 00:04:01,440 Speaker 1: and be like, holy shit, this is perfectly preserved and 85 00:04:01,560 --> 00:04:02,560 Speaker 1: glow and eat it. 86 00:04:02,720 --> 00:04:05,120 Speaker 6: Yeah, yeah, I gotta say it is. It's so funny 87 00:04:05,160 --> 00:04:08,040 Speaker 6: how obsessed I've gotten with this stuff. I recently heard 88 00:04:08,040 --> 00:04:11,320 Speaker 6: a former dailies I guess guessed I'm Eli Yuden post 89 00:04:11,360 --> 00:04:13,120 Speaker 6: on Twitter something to the effect of, like I'm thinking 90 00:04:13,160 --> 00:04:15,720 Speaker 6: about eating more protein and stuff like that. I immediately 91 00:04:15,760 --> 00:04:17,719 Speaker 6: jumped into his d DMS and was just like, here's 92 00:04:17,760 --> 00:04:19,119 Speaker 6: the best Greek yogurt like brand? 93 00:04:20,160 --> 00:04:21,919 Speaker 2: Just like brand? 94 00:04:22,000 --> 00:04:26,120 Speaker 6: Oh okay, so oh yeah something real opinion So no, no, 95 00:04:26,160 --> 00:04:27,680 Speaker 6: So the the brands that I like is that brand 96 00:04:27,680 --> 00:04:31,839 Speaker 6: called Oikos that is ninety calories for fifteen grams of protein, 97 00:04:32,279 --> 00:04:35,599 Speaker 6: and then there's another brand called Shobani that's sixty calories 98 00:04:35,640 --> 00:04:38,760 Speaker 6: for eleven grams of protein. And they don't taste bad. 99 00:04:38,800 --> 00:04:40,760 Speaker 6: There's a little bit of flavor to them, but it's 100 00:04:40,800 --> 00:04:42,680 Speaker 6: just like if you you know, like if it's the 101 00:04:42,760 --> 00:04:44,520 Speaker 6: end of the day and you're about to go to bed, 102 00:04:44,560 --> 00:04:46,560 Speaker 6: but you're just like, oh, I'm sure on protein by 103 00:04:46,600 --> 00:04:49,600 Speaker 6: ten grams, then you can just like chug a Greek 104 00:04:49,680 --> 00:04:52,599 Speaker 6: yogurt while I was trying to sleep. This is what 105 00:04:52,760 --> 00:04:55,520 Speaker 6: my life is. I'm a cautionary tale. Don't try to 106 00:04:55,560 --> 00:04:56,880 Speaker 6: become me. I hate this. 107 00:04:57,440 --> 00:05:00,200 Speaker 7: I'm trying to remember when when like Greek yogurt it 108 00:05:00,279 --> 00:05:04,039 Speaker 7: first came out as like a mass marketed product. I 109 00:05:04,080 --> 00:05:06,120 Speaker 7: was still living in New York and one of my coworkers, 110 00:05:06,200 --> 00:05:10,160 Speaker 7: like one of my best like actual work friends, was like. 111 00:05:10,240 --> 00:05:12,479 Speaker 2: Oh no, man, I don't fuck with Greek yogurts. Like 112 00:05:12,760 --> 00:05:13,560 Speaker 2: I'm trying to remember. 113 00:05:13,640 --> 00:05:17,200 Speaker 7: I'm trying to remember, but not say the brand because 114 00:05:17,200 --> 00:05:19,880 Speaker 7: it's a little I guess libelist or whatever. 115 00:05:19,960 --> 00:05:25,039 Speaker 6: But basically it came allegedly alleged, so what hap turned 116 00:05:25,080 --> 00:05:26,159 Speaker 6: his insides into goose? 117 00:05:26,520 --> 00:05:28,159 Speaker 7: Well, it's not about the product. He was like, I 118 00:05:28,160 --> 00:05:30,480 Speaker 7: can't funk, I can't fuck with those that Greek yogurt. 119 00:05:30,520 --> 00:05:32,640 Speaker 7: And I was like, oh, well why, I mean, it's good, 120 00:05:32,760 --> 00:05:35,200 Speaker 7: I think, and he was like yeah, like the guy 121 00:05:35,200 --> 00:05:38,719 Speaker 7: that founded the company, like like my friend's wife cheated 122 00:05:38,760 --> 00:05:44,039 Speaker 7: on him with oh no, like like broke up the marriage. 123 00:05:44,040 --> 00:05:45,799 Speaker 7: So it's like, yeah, I don't fuck with Greek yogret. 124 00:05:45,839 --> 00:05:47,280 Speaker 7: I was like, that's a brilliant just like. 125 00:05:47,240 --> 00:05:49,159 Speaker 6: That one brand or like any. 126 00:05:49,640 --> 00:05:52,479 Speaker 7: Just one brand of Greek yogurt. And I don't remember 127 00:05:52,520 --> 00:05:56,640 Speaker 7: which it is. I don't think if I were to guess, 128 00:05:56,680 --> 00:05:59,560 Speaker 7: it would be not polite. I suppose Yeah. 129 00:05:59,440 --> 00:06:03,400 Speaker 1: That's why, let's just go with it. Anyways. Top three 130 00:06:03,800 --> 00:06:06,440 Speaker 1: Greek yogurt brands that we think the guy might be. 131 00:06:07,000 --> 00:06:09,800 Speaker 7: Which, yeah, which, which is the Which is the cheat nest, 132 00:06:10,080 --> 00:06:11,440 Speaker 7: cheatness tasted yogurt. 133 00:06:13,600 --> 00:06:16,039 Speaker 6: You gonna say, Jack, where were you with that? With 134 00:06:16,080 --> 00:06:20,440 Speaker 6: that balloon telling him to say six inches apart when exactly. 135 00:06:22,320 --> 00:06:25,720 Speaker 1: Yourself, mister, your work is never done. 136 00:06:27,080 --> 00:06:31,679 Speaker 6: Noos is very virtuous. I'm going to defend to the death. 137 00:06:32,160 --> 00:06:34,279 Speaker 1: It was probably one of the brands that like tells 138 00:06:34,360 --> 00:06:38,680 Speaker 1: their whole founder story on the label, you know. 139 00:06:38,760 --> 00:06:40,960 Speaker 2: Like the found the story was definitely he likes. 140 00:06:43,080 --> 00:06:46,800 Speaker 6: So hard he likes Greek yogurt because it's kind of like, 141 00:06:47,640 --> 00:06:49,400 Speaker 6: this is why he likes the yog this is why 142 00:06:49,400 --> 00:06:50,160 Speaker 6: he got the whole. 143 00:06:54,000 --> 00:06:57,760 Speaker 1: I also remember hearing that Greek yogurt like the process 144 00:06:57,760 --> 00:07:01,360 Speaker 1: for making Greek yogurt. It makes the yogurt very good, 145 00:07:01,600 --> 00:07:04,359 Speaker 1: very great. Macros on that ship, even though you you 146 00:07:04,440 --> 00:07:07,159 Speaker 1: were the Charles Barkley of macros and don't want people 147 00:07:07,160 --> 00:07:09,400 Speaker 1: to think of you as a role model. I don't 148 00:07:09,600 --> 00:07:10,160 Speaker 1: think of you. 149 00:07:10,080 --> 00:07:11,280 Speaker 2: As a role model. Oh I know. 150 00:07:11,760 --> 00:07:14,760 Speaker 1: I'm excited about these macros. But then like the other thing, 151 00:07:15,000 --> 00:07:18,600 Speaker 1: the water or the liquid that gets strained out to 152 00:07:18,760 --> 00:07:23,520 Speaker 1: make it like that hypercondensed greekogret is like poison something 153 00:07:23,680 --> 00:07:26,600 Speaker 1: that I'm covering back in the day, and like they 154 00:07:26,680 --> 00:07:30,400 Speaker 1: don't know what to do with it. They're like, oh no. 155 00:07:29,760 --> 00:07:32,760 Speaker 6: No, I'm sure me like being like eating this very 156 00:07:32,800 --> 00:07:36,280 Speaker 6: specific macro diet is cutting fifty years off of my life. 157 00:07:37,480 --> 00:07:39,800 Speaker 7: No, I think it was like as a as a waste, 158 00:07:40,240 --> 00:07:45,720 Speaker 7: as a waste, yeah, exactly, like acidic or something, yes, hypercidic. 159 00:07:46,160 --> 00:07:47,960 Speaker 2: And it just makes me like it more. 160 00:07:48,400 --> 00:07:50,280 Speaker 7: I mean, I guess what it is is it's very 161 00:07:50,320 --> 00:07:53,440 Speaker 7: clearly just the opposite of the Greek yogurt. 162 00:07:54,000 --> 00:07:56,440 Speaker 1: Yes, Like it's just like that's what they're saying, is 163 00:07:56,640 --> 00:07:59,880 Speaker 1: that the macros on this waste byproduct are terrible. 164 00:08:00,200 --> 00:08:01,840 Speaker 2: That's why it's a waste by product. 165 00:08:02,040 --> 00:08:06,640 Speaker 7: Took you took milk and split it into good and evil. 166 00:08:08,960 --> 00:08:12,480 Speaker 1: That's right, will say Sloan. We do like to also 167 00:08:12,520 --> 00:08:14,920 Speaker 1: ask our guess, what is something you think is overrated? 168 00:08:15,520 --> 00:08:16,200 Speaker 4: Taylor Swift? 169 00:08:19,480 --> 00:08:20,600 Speaker 8: She's just white. 170 00:08:23,240 --> 00:08:23,680 Speaker 2: And uh. 171 00:08:26,960 --> 00:08:29,720 Speaker 5: Yeah, what do you think of the Republican sort of 172 00:08:29,800 --> 00:08:32,520 Speaker 5: like hysteria over how they're like she's going to swing 173 00:08:32,600 --> 00:08:33,600 Speaker 5: the election. 174 00:08:34,360 --> 00:08:36,640 Speaker 8: They need honestly, thank you for getting the heat off 175 00:08:36,640 --> 00:08:37,200 Speaker 8: of black. 176 00:08:37,000 --> 00:08:37,440 Speaker 2: People to. 177 00:08:40,320 --> 00:08:43,000 Speaker 8: Run it, because this is what you do. Know, if 178 00:08:43,080 --> 00:08:45,160 Speaker 8: Kansas City would have lost the super Bowl, it would 179 00:08:45,200 --> 00:08:50,080 Speaker 8: have been her fault. Yes, but they won and it's 180 00:08:50,120 --> 00:08:53,840 Speaker 8: Travis Kelsey, So she doesn't get the push, she doesn't 181 00:08:53,840 --> 00:08:56,280 Speaker 8: get the benefit of them winning, but she would have 182 00:08:56,320 --> 00:08:57,440 Speaker 8: caught all the heat if they. 183 00:08:57,480 --> 00:08:59,920 Speaker 4: Lost, right, and that's not fair. 184 00:09:00,320 --> 00:09:03,400 Speaker 8: Yeah, I'm not a fan of little Girl, but that's 185 00:09:03,720 --> 00:09:05,000 Speaker 8: just ridiculous. 186 00:09:05,120 --> 00:09:06,640 Speaker 4: Yeah, yeah, you don't need that kind of missige and 187 00:09:06,679 --> 00:09:08,719 Speaker 4: me flying that way, right, So it. 188 00:09:08,679 --> 00:09:11,480 Speaker 8: Was just like she was gonna catch pure hell. Also 189 00:09:12,520 --> 00:09:14,640 Speaker 8: even if she's still even if she told everybody to 190 00:09:14,679 --> 00:09:16,720 Speaker 8: vote for a specific candidate, that's not illegal. 191 00:09:17,320 --> 00:09:20,000 Speaker 2: Yeah, no, right, obviously, the only the. 192 00:09:19,920 --> 00:09:21,920 Speaker 8: Thing that's going to swing the election as the policies 193 00:09:21,960 --> 00:09:25,520 Speaker 8: as the Republican Party. But the problem is is that 194 00:09:25,760 --> 00:09:29,360 Speaker 8: nobody wants to in the same way. So when Hilary 195 00:09:29,360 --> 00:09:33,480 Speaker 8: Clinton was running against Trump, I saw something on Instagram 196 00:09:33,520 --> 00:09:35,320 Speaker 8: and it said, all right, let me go get up 197 00:09:35,320 --> 00:09:38,160 Speaker 8: and vote for this girl. And I was like, that 198 00:09:38,360 --> 00:09:42,679 Speaker 8: is perfect. That is exactly how I felt. Let me 199 00:09:42,720 --> 00:09:45,080 Speaker 8: get up and vote for this girl. I'm I decided 200 00:09:45,080 --> 00:09:47,480 Speaker 8: to vote for Biden. But they know that Kamala Harris 201 00:09:47,520 --> 00:09:52,520 Speaker 8: has no chance, right none. So it's like, okay, you 202 00:09:52,640 --> 00:09:55,280 Speaker 8: have to run Biden against Trump. Becau Kamala Harris has 203 00:09:55,440 --> 00:10:00,280 Speaker 8: absolutely no chance. But it's they're the oldest can dates 204 00:10:00,280 --> 00:10:03,560 Speaker 8: in the history of the world, like in the history 205 00:10:03,600 --> 00:10:04,079 Speaker 8: of America. 206 00:10:04,360 --> 00:10:05,080 Speaker 2: Oh yeah, for sure. 207 00:10:05,120 --> 00:10:05,920 Speaker 4: Yeah, the whole. 208 00:10:06,040 --> 00:10:08,920 Speaker 8: Candidates in the history of America. And John said, like 209 00:10:09,000 --> 00:10:12,600 Speaker 8: on the show on Monday, he was like, the last 210 00:10:12,640 --> 00:10:15,199 Speaker 8: time there were people this old was them four. 211 00:10:15,080 --> 00:10:18,160 Speaker 1: Years four years ago. They broke the record of the 212 00:10:19,240 --> 00:10:19,840 Speaker 1: first time. 213 00:10:20,320 --> 00:10:22,679 Speaker 8: So I was like, I was like, damn, that's wild. 214 00:10:22,920 --> 00:10:25,920 Speaker 8: But no, Taylor the Swift anchor, I mean, all she 215 00:10:26,040 --> 00:10:29,199 Speaker 8: did was just increase the sales of pony beads and 216 00:10:29,280 --> 00:10:31,920 Speaker 8: letter beads, and that elastic. 217 00:10:31,960 --> 00:10:37,040 Speaker 1: Bead industry is booming. And that is helping Biden economy. 218 00:10:36,080 --> 00:10:39,080 Speaker 8: Exactly, so shout out to. But also what I don't 219 00:10:39,120 --> 00:10:41,680 Speaker 8: understand is like we've given Taylor Swift all this credit 220 00:10:41,720 --> 00:10:45,280 Speaker 8: for boosting the economy when her and Beyonce had toured 221 00:10:45,320 --> 00:10:50,680 Speaker 8: simultaneously right, and people were breaking the neck literally not 222 00:10:50,800 --> 00:10:54,320 Speaker 8: paying rent to go see both of them. So I'm 223 00:10:54,360 --> 00:10:57,760 Speaker 8: just like, it's not only that she's gonna no, she's 224 00:10:57,800 --> 00:11:00,600 Speaker 8: not gonna swam election with the problem is that people 225 00:11:00,600 --> 00:11:04,840 Speaker 8: are so disengaged that not enough people are going to vote. 226 00:11:04,440 --> 00:11:07,160 Speaker 8: And what the Republican Party is very good at is 227 00:11:07,240 --> 00:11:13,320 Speaker 8: getting their constituents out to vote. Yeah, Democrats aren't paying 228 00:11:13,440 --> 00:11:17,280 Speaker 8: enough attention. Also, they don't have enough money. The Republican 229 00:11:17,320 --> 00:11:20,160 Speaker 8: Party sits on two hundred million dollars, the Democratic Party 230 00:11:20,200 --> 00:11:21,720 Speaker 8: sits on twenty million dollars. 231 00:11:22,480 --> 00:11:24,920 Speaker 5: The way Laura Trump was talking, She's like, if I 232 00:11:25,000 --> 00:11:27,320 Speaker 5: am at the RNC, like, put me there. I'm putting 233 00:11:27,320 --> 00:11:30,319 Speaker 5: every Sea said quote, every single penny of RNC funds 234 00:11:30,320 --> 00:11:32,080 Speaker 5: will be go to his election. It's like, you mean 235 00:11:32,120 --> 00:11:34,280 Speaker 5: in legal fees. I think that's what we're really talking here, 236 00:11:34,320 --> 00:11:36,200 Speaker 5: because that's how so much of his pack money just 237 00:11:36,200 --> 00:11:38,520 Speaker 5: went to his legal fees well, which. 238 00:11:38,440 --> 00:11:43,320 Speaker 8: Is listen, this is why when white people have the 239 00:11:43,440 --> 00:11:46,000 Speaker 8: nerve to look at black people or people of color 240 00:11:46,640 --> 00:11:50,280 Speaker 8: and go, well, how do we You can't ask us 241 00:11:50,280 --> 00:11:53,160 Speaker 8: how to do anything. Y'all know exactly how this works. 242 00:11:53,559 --> 00:11:56,000 Speaker 8: I'm very I'm very exhausted by the white person who 243 00:11:56,040 --> 00:11:59,520 Speaker 8: doesn't understand how America works, right, or the man who 244 00:11:59,559 --> 00:12:03,440 Speaker 8: doesn't understand while women are going through stop it. Quit 245 00:12:03,520 --> 00:12:06,720 Speaker 8: playing in my face. If you're playing with me, at 246 00:12:06,800 --> 00:12:08,880 Speaker 8: least it'd be a board and dice out. Stop playing 247 00:12:08,960 --> 00:12:11,720 Speaker 8: with me. There's no video game console on right now, 248 00:12:12,240 --> 00:12:14,960 Speaker 8: sitting in the living room meeting nachos, So stop playing 249 00:12:15,000 --> 00:12:17,920 Speaker 8: with me, you understand. So I'm just like one. America 250 00:12:18,040 --> 00:12:21,440 Speaker 8: is not about freedom. America's about money. The day that 251 00:12:21,600 --> 00:12:25,800 Speaker 8: everybody can acknowledge that America is a business, it started 252 00:12:25,840 --> 00:12:29,960 Speaker 8: as colonialism and conalization. 253 00:12:30,280 --> 00:12:31,920 Speaker 4: Was a business. 254 00:12:32,800 --> 00:12:37,120 Speaker 8: The colonies were a business. So ASCU people was like, 255 00:12:37,160 --> 00:12:38,640 Speaker 8: you know what they be not being real nice to 256 00:12:38,679 --> 00:12:40,520 Speaker 8: us in England, We might want to go somewhere else. 257 00:12:41,000 --> 00:12:43,120 Speaker 8: That was a couple folks on a couple of boats. 258 00:12:44,240 --> 00:12:50,320 Speaker 8: The rest of these bastards, the entire Western hemisphere was 259 00:12:50,400 --> 00:12:51,239 Speaker 8: a business. 260 00:12:51,800 --> 00:12:54,920 Speaker 4: Right that the British and. 261 00:12:54,960 --> 00:12:59,200 Speaker 8: The Spanish took over because the fact that Americans do 262 00:12:59,240 --> 00:13:01,560 Speaker 8: not acknowledge that most of the countries below US speak 263 00:13:01,600 --> 00:13:02,920 Speaker 8: Spanish is insane. 264 00:13:03,760 --> 00:13:06,240 Speaker 4: Or even know what country. Most people don't even know 265 00:13:06,280 --> 00:13:07,240 Speaker 4: what North America is. 266 00:13:09,360 --> 00:13:11,400 Speaker 8: You know, Mexico's in Central America. 267 00:13:11,559 --> 00:13:12,160 Speaker 4: No, it's not. 268 00:13:14,120 --> 00:13:16,200 Speaker 8: You never heard of NATO, That's what you just told me. 269 00:13:16,720 --> 00:13:21,199 Speaker 8: So it's America is a business. Stop looking for freedom 270 00:13:21,200 --> 00:13:24,040 Speaker 8: and start paying attention to the money. All of this 271 00:13:24,120 --> 00:13:25,960 Speaker 8: has always been about money. America does not care about 272 00:13:25,960 --> 00:13:28,760 Speaker 8: your freedom. All of the freedom shit is a smoke screen, 273 00:13:28,840 --> 00:13:33,000 Speaker 8: is a lie. That's what The reason that you were 274 00:13:33,000 --> 00:13:35,360 Speaker 8: able to get the Civil Rights Act to pass is 275 00:13:35,440 --> 00:13:42,080 Speaker 8: one Kennedy was assassinated two. Montgomery bus boycott took eighteen months. 276 00:13:43,200 --> 00:13:44,760 Speaker 8: It wasn't a couple of days that they wasn't on 277 00:13:44,760 --> 00:13:49,520 Speaker 8: the bus. Was eighteen months. And black women organize cabs 278 00:13:49,520 --> 00:13:52,040 Speaker 8: and cars to get everybody to work. And what it 279 00:13:52,080 --> 00:13:55,880 Speaker 8: did was it almost bankrupted the city of Montgomery, Alabama. 280 00:13:56,800 --> 00:14:01,800 Speaker 8: That's why desegregation happened because oftting of businesses. Right, It 281 00:14:01,840 --> 00:14:04,280 Speaker 8: wasn't because the white people was like, we should probably 282 00:14:04,280 --> 00:14:07,960 Speaker 8: get these negroes from rights. No, it's you realize how 283 00:14:08,000 --> 00:14:12,480 Speaker 8: we impacted an entire city's economy, in multiple cities economies 284 00:14:12,720 --> 00:14:15,040 Speaker 8: during the Civil rights movement, and they were like, Yo, 285 00:14:15,559 --> 00:14:18,600 Speaker 8: these negroes messing up our business. Give them some rights 286 00:14:18,640 --> 00:14:21,880 Speaker 8: or they're going to destroy us, right with just the 287 00:14:21,920 --> 00:14:24,840 Speaker 8: money of it. No one felt no. It's like, so 288 00:14:25,200 --> 00:14:27,160 Speaker 8: a white man looked at another white man and said, 289 00:14:27,200 --> 00:14:28,520 Speaker 8: let's give these negroes rights. 290 00:14:29,200 --> 00:14:30,800 Speaker 2: Right, had nothing to do. 291 00:14:30,800 --> 00:14:34,800 Speaker 8: They weren't treated better, right, You cannot just get the 292 00:14:34,840 --> 00:14:39,560 Speaker 8: bland food you was fighting to eat. So I'm very 293 00:14:39,600 --> 00:14:42,320 Speaker 8: confused about what we think is happening right now, and 294 00:14:42,360 --> 00:14:45,880 Speaker 8: I don't know why we're not acting like that. This 295 00:14:45,920 --> 00:14:47,720 Speaker 8: is what it is. So, yeah, the Republican Party wants 296 00:14:47,760 --> 00:14:49,840 Speaker 8: to take all this money to back Trump. All they're 297 00:14:49,840 --> 00:14:51,920 Speaker 8: going to do is bankrupt themselves because all they want 298 00:14:51,960 --> 00:14:54,600 Speaker 8: to do. Trump is just revenge for Obama. That's all 299 00:14:54,640 --> 00:14:56,480 Speaker 8: he is. Because that's why people foam at the mouth 300 00:14:56,480 --> 00:15:00,600 Speaker 8: and anger and act with Trump the way that they act, 301 00:15:00,680 --> 00:15:02,280 Speaker 8: just because he says what he needs to be said. 302 00:15:02,360 --> 00:15:04,560 Speaker 8: We're going to drain the swamp and get those fat cats. 303 00:15:04,560 --> 00:15:06,160 Speaker 8: I'm like, why are so many cats in a swamp? 304 00:15:06,240 --> 00:15:12,920 Speaker 2: You sound crazy? They're like cats. They don't want to listen. 305 00:15:12,960 --> 00:15:13,320 Speaker 2: What is this? 306 00:15:13,680 --> 00:15:16,760 Speaker 8: I remember Swat Cats was an interesting cartoon. Sam cats 307 00:15:16,800 --> 00:15:18,160 Speaker 8: didn't exist. They don't do that. 308 00:15:18,320 --> 00:15:20,640 Speaker 4: Samurai Pizza Cats another one, you know what I mean? 309 00:15:22,000 --> 00:15:24,080 Speaker 8: The nineties was a great time for pizza. 310 00:15:24,440 --> 00:15:28,880 Speaker 1: Yeah, truly, that teenage mutant Ninja turtle pizza that was 311 00:15:28,960 --> 00:15:31,960 Speaker 1: just like the the cheese on the top was like 312 00:15:32,080 --> 00:15:36,480 Speaker 1: one solid liquid, like non Newtonian substance that just like 313 00:15:36,560 --> 00:15:38,920 Speaker 1: kind of stretched you just fell off the dough. 314 00:15:39,320 --> 00:15:41,920 Speaker 8: Yeah, I mean, it's really how they made kids read books, 315 00:15:42,080 --> 00:15:46,760 Speaker 8: is what happened. Yeah, a pizza, a personal pan pizza, right, 316 00:15:47,320 --> 00:15:49,480 Speaker 8: just truly, just the open faced, grilled cheese. 317 00:15:49,240 --> 00:15:52,120 Speaker 4: Sandwich with a little bit of tomato sauce, with a 318 00:15:52,160 --> 00:15:52,600 Speaker 4: little bit. 319 00:15:52,480 --> 00:15:54,360 Speaker 8: Of tomato sauce is really how they got kids to 320 00:15:54,400 --> 00:15:55,360 Speaker 8: read in the nineties. 321 00:15:55,600 --> 00:15:58,120 Speaker 2: Yeah, came through Carmen. 322 00:15:58,160 --> 00:15:59,600 Speaker 1: What is something you think is underrated? 323 00:16:00,000 --> 00:16:00,680 Speaker 9: This is more fun? 324 00:16:01,360 --> 00:16:01,680 Speaker 1: Do you know what? 325 00:16:01,720 --> 00:16:03,960 Speaker 8: I love love, love love. Let's go back. 326 00:16:03,800 --> 00:16:05,160 Speaker 2: Capital punishment. 327 00:16:08,400 --> 00:16:10,440 Speaker 9: And they hold me up. Don't get me mad? 328 00:16:10,520 --> 00:16:16,960 Speaker 1: Now? Oh wow, you. 329 00:16:22,600 --> 00:16:27,120 Speaker 9: Know this is that mor Moss fun. Okay, so on 330 00:16:27,360 --> 00:16:31,600 Speaker 9: shows I love because of course I'm a writer too, 331 00:16:31,600 --> 00:16:35,320 Speaker 9: but I love mash up words. I don't like. I'm 332 00:16:35,320 --> 00:16:37,520 Speaker 9: not talking about those TikTok kind of stuff like riz 333 00:16:37,560 --> 00:16:39,800 Speaker 9: and so I'm talking about mash up boards. Because right now, 334 00:16:39,840 --> 00:16:41,040 Speaker 9: the word that I can't get out of my head, 335 00:16:41,040 --> 00:16:45,160 Speaker 9: which I love so much is corpsical. Is anyone watching 336 00:16:45,480 --> 00:16:49,440 Speaker 9: Detective It is the idea and I and I come 337 00:16:49,480 --> 00:16:51,240 Speaker 9: across a couple more of these words, and I just 338 00:16:51,360 --> 00:16:58,200 Speaker 9: love they make me so happy. Corpsical like the power 339 00:16:58,280 --> 00:17:02,320 Speaker 9: to be able to create a ward that instantly makes 340 00:17:02,320 --> 00:17:03,120 Speaker 9: your brain go. 341 00:17:03,200 --> 00:17:05,200 Speaker 1: Corpse know exactly what that is. 342 00:17:05,480 --> 00:17:07,359 Speaker 9: And you know exactly what it is, and it's a 343 00:17:07,400 --> 00:17:10,960 Speaker 9: nonsense word. We can't by the way, I love the show. 344 00:17:11,760 --> 00:17:12,879 Speaker 2: Yeah, you love true texts. 345 00:17:13,000 --> 00:17:15,320 Speaker 10: That's a great underrated That's that's one of honestly my 346 00:17:15,359 --> 00:17:17,760 Speaker 10: favorite underrated It's that's such a good one because it's 347 00:17:17,800 --> 00:17:21,399 Speaker 10: something that you appreciate subconsciously. But then hearing you say that, 348 00:17:21,480 --> 00:17:22,840 Speaker 10: I want to I want to keep an eye out 349 00:17:22,880 --> 00:17:24,919 Speaker 10: for more more corpsicle type words. 350 00:17:25,119 --> 00:17:27,160 Speaker 9: It's so fun. And then every time I hear crpsicle, 351 00:17:27,200 --> 00:17:29,280 Speaker 9: I'm like, oh, I just love it. 352 00:17:32,440 --> 00:17:34,679 Speaker 1: By the way, So so that you know where I'm at, 353 00:17:34,840 --> 00:17:37,480 Speaker 1: I tried to write corpsicle. I wasn't quite sure how 354 00:17:37,520 --> 00:17:40,920 Speaker 1: to pronounce how to spell it, and my autocorrect change 355 00:17:40,920 --> 00:17:41,960 Speaker 1: it to crop circle. 356 00:17:42,600 --> 00:17:44,960 Speaker 9: So you know what, it's another fantastical thing. 357 00:17:45,720 --> 00:17:46,439 Speaker 2: You love science. 358 00:17:46,520 --> 00:17:47,240 Speaker 1: So there you go. 359 00:17:47,960 --> 00:17:49,920 Speaker 2: I love science. Is that what you said? Yes? 360 00:17:50,040 --> 00:17:50,880 Speaker 1: I love science. 361 00:17:50,920 --> 00:17:56,480 Speaker 10: Science signs the m Night Shammealin movie signs that. 362 00:17:58,000 --> 00:18:01,560 Speaker 1: And see class that's I think that's in another M 363 00:18:01,640 --> 00:18:05,919 Speaker 1: Night Shyamalan movie where Mark Wahlberg is a science teacher 364 00:18:06,320 --> 00:18:09,760 Speaker 1: and he's like where just written on the board is like, 365 00:18:09,800 --> 00:18:10,760 Speaker 1: where'd the bees go? 366 00:18:11,640 --> 00:18:14,320 Speaker 2: Oh, wasn't that? 367 00:18:14,320 --> 00:18:16,000 Speaker 9: That wasn't science? Which one was that one? 368 00:18:16,240 --> 00:18:20,800 Speaker 2: That? Oh my god? What about the bees? 369 00:18:20,840 --> 00:18:21,280 Speaker 1: Though? Bro? 370 00:18:21,960 --> 00:18:24,040 Speaker 2: That don't spoil it. Don't spoil it. Don't tell us 371 00:18:24,040 --> 00:18:25,880 Speaker 2: where the. 372 00:18:26,560 --> 00:18:28,720 Speaker 9: Oh my god, that's a good one. 373 00:18:29,240 --> 00:18:30,240 Speaker 2: Yeah, that is a good one. 374 00:18:30,560 --> 00:18:34,600 Speaker 1: True Detective Season four or yeah, season four has one 375 00:18:34,680 --> 00:18:40,359 Speaker 1: of the most That corpsicle is the corp cycle to 376 00:18:40,480 --> 00:18:41,600 Speaker 1: end all corpsicles. 377 00:18:41,680 --> 00:18:42,760 Speaker 2: By the way, it's a bunch. 378 00:18:43,400 --> 00:18:46,000 Speaker 1: Yeah, it's a real and if you. 379 00:18:46,119 --> 00:18:48,720 Speaker 9: Like this season, look at me. I'm not doing promo 380 00:18:48,800 --> 00:18:51,119 Speaker 9: for her, but I do adore her. The director of 381 00:18:51,119 --> 00:18:56,320 Speaker 9: Isa Lopez right from Mexico. She has her horror movie 382 00:18:56,600 --> 00:19:02,119 Speaker 9: Tigers Are Not Afraid was beautiful and fresh. You know, 383 00:19:02,119 --> 00:19:04,640 Speaker 9: when you see a movie, it's not like you're not like, wow, 384 00:19:04,680 --> 00:19:05,639 Speaker 9: that was so great and epica. 385 00:19:05,800 --> 00:19:06,600 Speaker 8: But but when you see it and. 386 00:19:06,520 --> 00:19:09,480 Speaker 9: You go, okay, that's new. Yeah, Like how hard is 387 00:19:09,520 --> 00:19:11,720 Speaker 9: it to see to watch something today and be like, Okay, 388 00:19:11,760 --> 00:19:15,600 Speaker 9: that's that's new. I haven't seen that. That's her and 389 00:19:15,640 --> 00:19:18,600 Speaker 9: it is brilliant. So I'm not surprised. 390 00:19:18,400 --> 00:19:22,520 Speaker 3: That she produced a corpsicle. Yeah, if you watch. 391 00:19:22,320 --> 00:19:24,400 Speaker 9: That movie, you can see you're like, this lady's brain 392 00:19:24,440 --> 00:19:26,800 Speaker 9: is different. Yeah, Miliki. 393 00:19:27,800 --> 00:19:30,840 Speaker 10: Oh that only has a ninety seven percent on Rotten Tomatoes. 394 00:19:30,880 --> 00:19:33,040 Speaker 6: That's all it happens. 395 00:19:33,440 --> 00:19:39,120 Speaker 2: Yeah, so h happy for her my movies to watch 396 00:19:39,200 --> 00:19:42,200 Speaker 2: list me too, mm hmm so good. 397 00:19:42,359 --> 00:19:45,480 Speaker 9: So good by the way, ethel LOVEO lo'veo. Okay, moving on. 398 00:19:46,359 --> 00:19:50,879 Speaker 1: She's a big fan, as are all great brilliant you know, 399 00:19:50,960 --> 00:19:53,280 Speaker 1: directors who think different. They are huge fans of the 400 00:19:53,359 --> 00:19:57,640 Speaker 1: Davies iist and will get fits fits. All right, let's 401 00:19:57,640 --> 00:19:59,720 Speaker 1: take a quick break and come back and well run 402 00:19:59,760 --> 00:20:00,560 Speaker 1: through news stories. 403 00:20:00,600 --> 00:20:01,240 Speaker 2: We'll be right back. 404 00:20:01,400 --> 00:20:15,280 Speaker 1: Okay, and we're back, and just briefly, John Stewart came 405 00:20:15,720 --> 00:20:19,320 Speaker 1: did his like first return. I didn't watch it. I 406 00:20:19,400 --> 00:20:21,919 Speaker 1: writer Jam watched it was like, this is pretty I was. 407 00:20:22,080 --> 00:20:24,040 Speaker 1: He was dreading it and thought it was kind of funny. 408 00:20:24,480 --> 00:20:27,760 Speaker 1: Most of his opening segment was devoted to the ages 409 00:20:27,960 --> 00:20:34,720 Speaker 1: of both presidential candidates, and therein lies the problem. People 410 00:20:34,760 --> 00:20:37,639 Speaker 1: were like, what the fuck, dude, You're only supposed to 411 00:20:37,720 --> 00:20:43,159 Speaker 1: talk about Republicans. Bro. He focused on as did we yesterday? 412 00:20:43,240 --> 00:20:48,240 Speaker 1: We you know, Biden's slip up where he had called 413 00:20:48,240 --> 00:20:50,760 Speaker 1: the press conference to be like I'm not you think 414 00:20:50,760 --> 00:20:54,560 Speaker 1: I'm old and came on and was like throwing sick 415 00:20:54,640 --> 00:20:58,560 Speaker 1: burns at Fox News and was like real revved up 416 00:20:59,000 --> 00:21:03,560 Speaker 1: and was like leaving the field of play, having like 417 00:21:03,720 --> 00:21:06,680 Speaker 1: done what he came to do. And then someone asked 418 00:21:06,720 --> 00:21:11,160 Speaker 1: him a question about Israel, and he like went back 419 00:21:11,200 --> 00:21:15,160 Speaker 1: to the podium and confused Mexico and Egypt, and people 420 00:21:15,200 --> 00:21:20,280 Speaker 1: were like, oh, buddy, you were so close. But anyways, 421 00:21:20,320 --> 00:21:23,040 Speaker 1: I mean he he also so he pointed out Biden's 422 00:21:23,240 --> 00:21:27,560 Speaker 1: slip ups. He also said that Trump's statements during his 423 00:21:28,520 --> 00:21:32,879 Speaker 1: rallies weren't a wellness check, like he was talking about 424 00:21:32,880 --> 00:21:36,080 Speaker 1: both of them, but people were pissed. I think my 425 00:21:36,160 --> 00:21:39,119 Speaker 1: favorite joke from it is that he took the clip 426 00:21:39,119 --> 00:21:42,919 Speaker 1: of Kamala Harris being like, I assure you in closed 427 00:21:42,920 --> 00:21:46,360 Speaker 1: door meetings, Biden is smart and on his game and. 428 00:21:46,359 --> 00:21:46,960 Speaker 2: On top of it. 429 00:21:48,400 --> 00:21:53,160 Speaker 1: And he was like, did anyone dad, Like that would 430 00:21:53,200 --> 00:21:56,679 Speaker 1: be good to show to people. But anyways, people like 431 00:21:56,960 --> 00:22:00,880 Speaker 1: Keith Alberman, who we were all waiting to hear what Yeah, 432 00:22:00,920 --> 00:22:04,160 Speaker 1: we all knew Keith Alberman was still alive and we're 433 00:22:04,200 --> 00:22:07,520 Speaker 1: waiting to hear what he thought on anything. But he 434 00:22:07,600 --> 00:22:10,640 Speaker 1: came out and was like, just both sides as fraud. 435 00:22:11,040 --> 00:22:14,720 Speaker 1: He's mad. Rolling Stone referred to John Stewart's both sides 436 00:22:14,720 --> 00:22:18,720 Speaker 1: are equally bad approach, which doesn't seem like exactly what 437 00:22:18,840 --> 00:22:23,400 Speaker 1: he's saying. I think you can be frustrated that Joe 438 00:22:23,400 --> 00:22:27,600 Speaker 1: Biden doesn't seem to be the best candidate, specifically because 439 00:22:27,800 --> 00:22:31,960 Speaker 1: Trump is such a terrifying prospect, which kind of is 440 00:22:32,000 --> 00:22:37,199 Speaker 1: where I'm sitting at the moment. So yeah, yeah, how 441 00:22:37,200 --> 00:22:40,600 Speaker 1: are you guys feeling feeling good about our options? 442 00:22:41,480 --> 00:22:44,080 Speaker 2: Yeah? 443 00:22:45,680 --> 00:22:48,040 Speaker 7: Weirdly, Yeah, it's like this is like kind of the 444 00:22:48,040 --> 00:22:51,400 Speaker 7: first time I was like, because I feel like the 445 00:22:51,440 --> 00:22:57,520 Speaker 7: previous incarnation of Daily Show John Stewart would not really 446 00:22:57,680 --> 00:23:01,199 Speaker 7: ever like actually criticize is like the kind of our 447 00:23:01,280 --> 00:23:02,879 Speaker 7: setter right Democratic Party. 448 00:23:04,280 --> 00:23:11,880 Speaker 2: So like this feels like good ish. Actually I'm surprised. 449 00:23:11,880 --> 00:23:15,639 Speaker 1: Im more in line with where I think people's mind. 450 00:23:16,040 --> 00:23:19,160 Speaker 6: Yeah, I think that, you know, I mean, ultimately, John 451 00:23:19,160 --> 00:23:21,680 Speaker 6: Stewart's a comedian and his jobs be funny, but he's 452 00:23:21,680 --> 00:23:24,119 Speaker 6: also put himself in this really interesting media criticism and 453 00:23:24,119 --> 00:23:28,159 Speaker 6: analys role. Yeah, jokes to criticize the media. And you know, 454 00:23:28,240 --> 00:23:30,960 Speaker 6: I think that Biden and Trump are the presidential candidates 455 00:23:30,960 --> 00:23:33,120 Speaker 6: who look and sound old as fuck. Don't get mad 456 00:23:33,119 --> 00:23:35,560 Speaker 6: at John Stewart for pointing it out, like you know, 457 00:23:35,600 --> 00:23:37,680 Speaker 6: get mad at Biden's campaign team for letting me be 458 00:23:37,800 --> 00:23:39,720 Speaker 6: presented in that way. 459 00:23:39,840 --> 00:23:42,880 Speaker 1: Or get excited about R. FK. Junior, who we are 460 00:23:42,880 --> 00:23:43,880 Speaker 1: on this podcast. 461 00:23:46,040 --> 00:23:48,080 Speaker 7: If you if you read between the lines, you could 462 00:23:48,080 --> 00:23:50,280 Speaker 7: really tell which direction of this pot is which where 463 00:23:50,359 --> 00:23:57,359 Speaker 7: Jack is going slightly read between anti vacs really really, 464 00:23:57,400 --> 00:24:01,000 Speaker 7: I have put COVID in scare quotes multiple time and 465 00:24:01,160 --> 00:24:03,040 Speaker 7: did say I'm excited about our kid Junior. 466 00:24:03,320 --> 00:24:05,760 Speaker 1: I don't know if you're picking up the tiny little 467 00:24:05,760 --> 00:24:12,080 Speaker 1: bread cone from red Comb, that's what when I'm out 468 00:24:12,119 --> 00:24:15,879 Speaker 1: on macros and I'm so excited. 469 00:24:15,520 --> 00:24:18,080 Speaker 6: Look, do I love RFK Junior because he probably knows 470 00:24:18,119 --> 00:24:18,960 Speaker 6: what a macro is? 471 00:24:19,200 --> 00:24:19,520 Speaker 2: Yes? 472 00:24:20,320 --> 00:24:22,480 Speaker 6: Is that what I based my presidential candidate votes on? 473 00:24:22,600 --> 00:24:22,919 Speaker 2: Yes? 474 00:24:23,240 --> 00:24:26,000 Speaker 7: Also, yeah, I will say, Actually, Joejo, I think he 475 00:24:26,119 --> 00:24:28,679 Speaker 7: just said I I don't know if I agree that. Like, 476 00:24:29,680 --> 00:24:33,480 Speaker 7: in the job of host of the Daily Show, John 477 00:24:33,600 --> 00:24:35,440 Speaker 7: Stewart is a comedian, well. 478 00:24:35,440 --> 00:24:39,879 Speaker 6: Okay, well it's on Comedy Central. It's like, yeah, theoretically 479 00:24:40,040 --> 00:24:41,720 Speaker 6: he's supposed to be doing I know. 480 00:24:41,760 --> 00:24:42,080 Speaker 2: I know. 481 00:24:42,320 --> 00:24:45,040 Speaker 7: I just think it's like, I don't think the show 482 00:24:45,119 --> 00:24:47,760 Speaker 7: would do well if he was just doing jokes. Like 483 00:24:47,840 --> 00:24:51,080 Speaker 7: most of the bits that do well with their audience are, 484 00:24:51,640 --> 00:24:54,800 Speaker 7: like I think, unfortunately, not jokes. 485 00:24:55,200 --> 00:24:55,760 Speaker 1: Yeah. 486 00:24:56,119 --> 00:24:58,239 Speaker 6: It is so weird, Like, I, you know, I went 487 00:24:58,280 --> 00:25:00,199 Speaker 6: to school for journalism and I graduated from like the 488 00:25:00,280 --> 00:25:03,359 Speaker 6: Edward Armureau College Communication, and it's like, so, I like, 489 00:25:03,400 --> 00:25:06,399 Speaker 6: I really respect journalism. And it's so weird to me 490 00:25:06,480 --> 00:25:09,520 Speaker 6: that he's kind of found himself John Stewart in this 491 00:25:09,560 --> 00:25:11,600 Speaker 6: position where he's kind of one of the most respected 492 00:25:11,640 --> 00:25:16,320 Speaker 6: journalists in the country, and he's like he's not a journalist. 493 00:25:15,880 --> 00:25:16,080 Speaker 2: You know. 494 00:25:16,440 --> 00:25:18,240 Speaker 1: Yeah, I think, and there's the problem. 495 00:25:18,600 --> 00:25:20,399 Speaker 6: Yeah, And it's like it's sort of a and like 496 00:25:20,480 --> 00:25:23,040 Speaker 6: he's he's the person where you know, I think on 497 00:25:23,080 --> 00:25:25,720 Speaker 6: his on his Apple TV show, there was this expectation 498 00:25:25,760 --> 00:25:28,439 Speaker 6: of like finally he's gonna do hard hitting interviews, and 499 00:25:28,480 --> 00:25:31,800 Speaker 6: it's like, yeah, it's we're putting so much on John 500 00:25:31,840 --> 00:25:32,919 Speaker 6: Stuart's shoulders. 501 00:25:33,440 --> 00:25:37,720 Speaker 7: Yeah yeah, well really yeah, it's that part is the 502 00:25:37,760 --> 00:25:38,639 Speaker 7: biggest barber to me. 503 00:25:38,680 --> 00:25:40,920 Speaker 2: I'm just like this, this is just none of this 504 00:25:41,000 --> 00:25:42,359 Speaker 2: should exist in this way. 505 00:25:42,720 --> 00:25:46,639 Speaker 6: Yeah, we should have good like television journalism should be better, 506 00:25:46,800 --> 00:25:48,879 Speaker 6: like what And part of the problem is just like 507 00:25:48,920 --> 00:25:51,800 Speaker 6: it's like the twenty four hour news cycle, there is 508 00:25:51,920 --> 00:25:55,160 Speaker 6: just this need to fill time with opinion more than 509 00:25:55,200 --> 00:25:57,879 Speaker 6: like actual news. And it's like if you watch, like 510 00:25:57,920 --> 00:25:59,960 Speaker 6: you know, just any of the twenty four hour news channels, 511 00:26:00,080 --> 00:26:03,240 Speaker 6: it's like ninety percent of their programming is just like 512 00:26:03,280 --> 00:26:06,480 Speaker 6: a panel of like experts or whatever just kind of 513 00:26:06,520 --> 00:26:09,359 Speaker 6: riffing on what they're hearing about, as opposed to like 514 00:26:09,480 --> 00:26:13,920 Speaker 6: actual like research the thing journalism, and uh yeah, I 515 00:26:13,960 --> 00:26:16,560 Speaker 6: don't know. It's like it's I'm excited that John Stewart's back, 516 00:26:17,160 --> 00:26:19,120 Speaker 6: like I thought he did, you know, a good job, 517 00:26:19,160 --> 00:26:20,800 Speaker 6: and it's first episode back, but it is such a 518 00:26:20,800 --> 00:26:23,560 Speaker 6: bummer that like there is this feeling of like, oh, 519 00:26:23,640 --> 00:26:27,600 Speaker 6: finally real news can come back on Comedy Central. 520 00:26:27,880 --> 00:26:32,240 Speaker 1: Yes, yeah, I didn't realize Comedy Central was still a channel, to. 521 00:26:32,200 --> 00:26:33,880 Speaker 2: Be honest, I did. I legitimately. 522 00:26:33,920 --> 00:26:36,080 Speaker 7: Also was like I was like, I guess I would 523 00:26:36,119 --> 00:26:39,640 Speaker 7: have heard had Daily Show been canceled, But the big 524 00:26:39,680 --> 00:26:42,320 Speaker 7: announcement that he was coming back, I was like, oh god. 525 00:26:43,240 --> 00:26:46,119 Speaker 6: Yeah, like it was it was a weird, like, you know, 526 00:26:46,560 --> 00:26:50,000 Speaker 6: it was this weird feeling of like, you know, ultimately, 527 00:26:50,040 --> 00:26:52,119 Speaker 6: I'm a big proponent of like giving new people a 528 00:26:52,160 --> 00:26:53,879 Speaker 6: shot and you know, bringing in like you know, psc 529 00:26:54,000 --> 00:26:57,440 Speaker 6: voices or words for marginalized communities to hold those positions. 530 00:26:57,840 --> 00:26:59,960 Speaker 6: But like, I don't know, I do think that John's 531 00:27:00,119 --> 00:27:02,720 Speaker 6: where like he like he's basically he said that he's 532 00:27:02,720 --> 00:27:04,840 Speaker 6: only going to come back until I think the election. 533 00:27:05,320 --> 00:27:06,760 Speaker 6: So it does feel like he's kind of back to 534 00:27:06,880 --> 00:27:09,119 Speaker 6: like a really specific purpose and he's not going to 535 00:27:09,240 --> 00:27:11,680 Speaker 6: stick around forever. And a lot of his jokes even 536 00:27:11,720 --> 00:27:14,480 Speaker 6: were just like I'm in my sixties. It's weird, I'm back, 537 00:27:14,640 --> 00:27:17,960 Speaker 6: Like yeah, so he gets it right. 538 00:27:18,280 --> 00:27:22,239 Speaker 1: Well, It'll be interesting to see what he has to 539 00:27:22,359 --> 00:27:26,679 Speaker 1: say in his next appearance, because uh, He's not going 540 00:27:26,760 --> 00:27:28,720 Speaker 1: to have Joe Biden to beat up on for being old. 541 00:27:28,720 --> 00:27:31,520 Speaker 1: I'll tell you that much, because Joe Biden has proven 542 00:27:32,440 --> 00:27:40,560 Speaker 1: he young. He joined TikTok. He's his campaign has entered. 543 00:27:40,640 --> 00:27:46,000 Speaker 1: It's Steve Buscemi holding a skateboard phase and they joined TikTok. 544 00:27:46,480 --> 00:27:49,320 Speaker 1: He posted a video on Super Bowl Sunday answering questions 545 00:27:49,320 --> 00:27:52,400 Speaker 1: that included which team he was rooting for and which 546 00:27:52,520 --> 00:27:55,720 Speaker 1: candidate he supports for president, which feels like they were 547 00:27:55,720 --> 00:27:59,560 Speaker 1: trying to like fuck him up. His grant kids were 548 00:27:59,600 --> 00:28:02,879 Speaker 1: trying to confuse him. But the video was posted along 549 00:28:02,920 --> 00:28:08,960 Speaker 1: with the message lowell, hey guys, which is just completely 550 00:28:08,960 --> 00:28:12,360 Speaker 1: impossible to imagine Joe Biden ever saying. 551 00:28:12,640 --> 00:28:14,600 Speaker 6: Do you think that there was an unused take on 552 00:28:14,640 --> 00:28:15,719 Speaker 6: that who are you gonna vote for? 553 00:28:15,720 --> 00:28:18,320 Speaker 2: For President? Biden and Trump question re said. 554 00:28:18,160 --> 00:28:19,200 Speaker 6: Trump, fuck. 555 00:28:20,960 --> 00:28:22,719 Speaker 1: Guys, guys. 556 00:28:23,000 --> 00:28:27,879 Speaker 6: Yeah, it's a shooter. I think it's really funny. How like, 557 00:28:28,040 --> 00:28:31,560 Speaker 6: I feel like the Biden campaign has gone through the 558 00:28:31,920 --> 00:28:36,120 Speaker 6: process of I think every stand up comedian of like, oh, 559 00:28:36,160 --> 00:28:38,520 Speaker 6: I'm not going to start a TikTok. TikTok's dumb, and 560 00:28:38,520 --> 00:28:40,640 Speaker 6: then after a couple of years, maybe I will start 561 00:28:40,640 --> 00:28:41,200 Speaker 6: a TikTok. 562 00:28:41,520 --> 00:28:45,920 Speaker 1: Yes, like he for years has been repeatedly stating he 563 00:28:45,920 --> 00:28:49,479 Speaker 1: would not be joining TikTok during the campaign, which is 564 00:28:49,560 --> 00:28:52,040 Speaker 1: just like such a funny statement to make in the 565 00:28:52,080 --> 00:28:56,320 Speaker 1: first place, that like he felt the need to be like, no, guys, 566 00:28:57,080 --> 00:28:59,680 Speaker 1: I know what you're saying. I'm not gonna start. I'm 567 00:28:59,680 --> 00:29:00,800 Speaker 1: not gonna doin TikTok. 568 00:29:01,040 --> 00:29:02,400 Speaker 2: I know what everybody's waiting for. 569 00:29:02,560 --> 00:29:07,160 Speaker 1: Okay, I'd never that thought never crossed my mind. 570 00:29:07,600 --> 00:29:09,280 Speaker 2: Oh god, but. 571 00:29:09,600 --> 00:29:13,320 Speaker 6: Yeah, I gotta say one of my favorite TikTok formats 572 00:29:13,400 --> 00:29:16,280 Speaker 6: is just stuff getting smashed. Like there's this video of 573 00:29:16,360 --> 00:29:19,520 Speaker 6: like two toilets hanging from ropes swung at each other 574 00:29:19,560 --> 00:29:22,440 Speaker 6: like pendulums and they hit each other explode. If the 575 00:29:22,440 --> 00:29:25,480 Speaker 6: Biden campaign leaned into that type of TikTok idea. 576 00:29:26,200 --> 00:29:29,480 Speaker 1: Yeah, yeah, I mean just on the like things from 577 00:29:29,560 --> 00:29:32,880 Speaker 1: the White House getting like which one's going to survive. 578 00:29:33,120 --> 00:29:36,400 Speaker 6: It's like the Lincoln desk and the statue of Andrew Jackson. 579 00:29:36,720 --> 00:29:38,720 Speaker 2: Yeah, you have to imagine you. 580 00:29:38,760 --> 00:29:44,200 Speaker 7: Got has to be pissed about this happening, because this 581 00:29:44,280 --> 00:29:49,560 Speaker 7: is like they're they're cooling, their app is done, Like 582 00:29:49,640 --> 00:29:51,520 Speaker 7: this is just the now we're just counted down the 583 00:29:51,600 --> 00:29:54,040 Speaker 7: days to when TikTok is over right. 584 00:29:54,240 --> 00:29:54,560 Speaker 2: Yeah. 585 00:29:54,840 --> 00:29:56,720 Speaker 6: It also doesn't help that if you watch the video, 586 00:29:56,840 --> 00:30:00,480 Speaker 6: it looks like Joe Biden's in a hospital waiting room. 587 00:30:01,280 --> 00:30:04,280 Speaker 1: It really does. Where the fuck is he? That's a 588 00:30:04,320 --> 00:30:08,800 Speaker 1: really good point. Like the art on the walls is 589 00:30:09,000 --> 00:30:12,360 Speaker 1: in the last in the waiting room of the last hospital. 590 00:30:12,520 --> 00:30:15,800 Speaker 1: Is that like gets straight up is a hospital waiting room? 591 00:30:16,200 --> 00:30:18,240 Speaker 1: He's wearing old guy khakis. 592 00:30:19,080 --> 00:30:21,080 Speaker 7: Do you know what I I would actually bet it is, 593 00:30:21,120 --> 00:30:24,320 Speaker 7: which probably has the safe decor as a hospital waiting room. 594 00:30:24,560 --> 00:30:27,160 Speaker 7: Is like a boomer internet consultancy. 595 00:30:27,800 --> 00:30:29,880 Speaker 6: Yeah, No, I think that's I think that that's that 596 00:30:30,000 --> 00:30:31,920 Speaker 6: to me is a little bit of the issue with 597 00:30:32,040 --> 00:30:33,960 Speaker 6: like I totally get you know, Biden starting a TikTok. Yeah, 598 00:30:33,960 --> 00:30:36,680 Speaker 6: there's you know, huge zoomer audience there, Like it makes sense. 599 00:30:37,200 --> 00:30:40,720 Speaker 6: But I think that this really feels like a TikTok 600 00:30:41,200 --> 00:30:44,520 Speaker 6: that was like pitched by a twenty year old to 601 00:30:44,960 --> 00:30:49,000 Speaker 6: like a boomer social media executive and like they tried 602 00:30:49,040 --> 00:30:50,959 Speaker 6: to kind of meet in the middle, and it just 603 00:30:50,960 --> 00:30:54,280 Speaker 6: like does it just feels like this weird TikTok uncanny valley. 604 00:30:54,480 --> 00:30:58,959 Speaker 1: Yeah, having him show up with the where wall. Hey guys, 605 00:30:59,200 --> 00:31:02,120 Speaker 1: is so funny to me for some reason. Yeah, it's 606 00:31:02,160 --> 00:31:07,040 Speaker 1: like is that him talking him being like, well, hey guys, 607 00:31:07,120 --> 00:31:10,680 Speaker 1: I'm so random, right, Yeah, I'm so random? 608 00:31:10,720 --> 00:31:11,040 Speaker 4: Blurg. 609 00:31:12,960 --> 00:31:15,080 Speaker 7: Also, I mean, like, are you really going to sign 610 00:31:15,160 --> 00:31:18,880 Speaker 7: on to the fucking social media network that's mostly right 611 00:31:18,920 --> 00:31:23,040 Speaker 7: now known for calling you a war criminal? Like I 612 00:31:23,080 --> 00:31:27,200 Speaker 7: think you gave up on the zoomer vote a while ago, dog, 613 00:31:27,520 --> 00:31:30,800 Speaker 7: and yeah, this is gonna this is not going to 614 00:31:30,880 --> 00:31:31,800 Speaker 7: bridge that gap. 615 00:31:32,640 --> 00:31:33,120 Speaker 2: Yeah. 616 00:31:33,240 --> 00:31:37,000 Speaker 1: Unfortunately he doesn't seem to be all that red in 617 00:31:37,520 --> 00:31:42,680 Speaker 1: on the war criminal stuff, because he did following the 618 00:31:42,720 --> 00:31:47,200 Speaker 1: Super Bowl drop that meme, that dank Brandon dark Brandon 619 00:31:47,280 --> 00:31:49,840 Speaker 1: meme on our ass where he was like just like 620 00:31:49,920 --> 00:31:52,280 Speaker 1: we drew it up with a picture of him, you know, 621 00:31:52,400 --> 00:31:57,360 Speaker 1: dark Brandon eyes glowing. And unfortunately it was also after 622 00:31:57,720 --> 00:32:02,760 Speaker 1: Israeli airstrikes reportedly target getting houses and mosques killed dozens 623 00:32:02,760 --> 00:32:03,280 Speaker 1: of people. 624 00:32:03,560 --> 00:32:05,960 Speaker 6: Yeah, it's like, wow, real dark dark Brandon. 625 00:32:06,440 --> 00:32:11,360 Speaker 7: Yeah, yeah, so that is how he So. 626 00:32:11,160 --> 00:32:14,640 Speaker 1: Yeah, No, I mean it's just perfect time. 627 00:32:15,160 --> 00:32:18,280 Speaker 2: We didn't have to drag this into podcasts at least 628 00:32:18,480 --> 00:32:19,640 Speaker 2: fun time. 629 00:32:19,920 --> 00:32:23,880 Speaker 1: I know, but it's it is just wild, like this 630 00:32:24,000 --> 00:32:29,400 Speaker 1: attempt to join in the fun, like make his campaign 631 00:32:29,640 --> 00:32:33,400 Speaker 1: fun at this time, Like it's just I don't think 632 00:32:33,440 --> 00:32:37,520 Speaker 1: it's gonna be as easy as they're hoping. Yeah, would. 633 00:32:38,240 --> 00:32:40,280 Speaker 6: I think that's so much of what does well on 634 00:32:40,320 --> 00:32:42,120 Speaker 6: social media. It's just like, you know, you need to 635 00:32:42,160 --> 00:32:43,840 Speaker 6: be genuine, you need to feel like you're real in 636 00:32:43,880 --> 00:32:46,720 Speaker 6: some way. And it feels like the Biden campaign isn't 637 00:32:46,720 --> 00:32:48,400 Speaker 6: this weird kind of trying to have their keyk and 638 00:32:48,440 --> 00:32:50,280 Speaker 6: eat it too middle ground where they're trying to kind 639 00:32:50,280 --> 00:32:52,880 Speaker 6: of memify and freshen up Biden, But when it gets 640 00:32:52,880 --> 00:32:56,240 Speaker 6: down to it, he's still an eighty two year old politician. Sure, 641 00:32:56,280 --> 00:32:59,160 Speaker 6: And you know it just comes across as very like, hey, look, everybody, 642 00:32:59,240 --> 00:33:00,880 Speaker 6: Grandpa's rapping, Like. 643 00:33:01,160 --> 00:33:04,280 Speaker 7: Yeah, you know, it would genuinely be a thousand times 644 00:33:04,280 --> 00:33:07,560 Speaker 7: better if he was just wrapping, just rapp, dude, wrapping. 645 00:33:08,040 --> 00:33:12,440 Speaker 6: I'm the president and I'm here to say yeah. 646 00:33:12,080 --> 00:33:15,720 Speaker 1: I mean yeah. So in twenty twenty, the campaign, some 647 00:33:15,800 --> 00:33:20,760 Speaker 1: say sweatily campaigned and animal crossing and through celebrities on 648 00:33:20,840 --> 00:33:25,240 Speaker 1: cameo U and people are comparing that to this. I'm 649 00:33:25,280 --> 00:33:27,920 Speaker 1: just going to say, twenty twenty, let me think who 650 00:33:27,960 --> 00:33:31,520 Speaker 1: won that election. Who won that election? Yeah, that's right, 651 00:33:31,600 --> 00:33:34,880 Speaker 1: he won. They don't know if animals crossing saved us 652 00:33:34,920 --> 00:33:36,440 Speaker 1: from four more years of Trump. 653 00:33:36,840 --> 00:33:39,880 Speaker 7: Yeah, I'm sorry, you're the character of Jack O'Brien says 654 00:33:40,080 --> 00:33:41,040 Speaker 7: Trump won that election. 655 00:33:41,960 --> 00:33:44,160 Speaker 1: Oh ship, that's right, I remember. 656 00:33:44,280 --> 00:33:49,320 Speaker 6: Yeah, yeah, you said again, yeah, yeah, when you said 657 00:33:49,160 --> 00:33:51,080 Speaker 6: Biden won the election, you were definitely doing the jack 658 00:33:51,160 --> 00:33:57,440 Speaker 6: off like yeah quotes, oh yeah, won the election. 659 00:33:57,960 --> 00:33:59,960 Speaker 1: Every by the way, every time I say president Biden, 660 00:34:00,040 --> 00:34:02,560 Speaker 1: and I think the jack off ham mooscher motion is 661 00:34:02,640 --> 00:34:04,360 Speaker 1: implied president. 662 00:34:05,160 --> 00:34:07,760 Speaker 2: But that's that's where me and the let's go Brandon 663 00:34:07,840 --> 00:34:09,120 Speaker 2: people really intersect. 664 00:34:09,160 --> 00:34:17,400 Speaker 7: It's like, yeah, I also think that. 665 00:34:15,080 --> 00:34:18,319 Speaker 2: For the opposite reasons. But I do think that. 666 00:34:17,960 --> 00:34:20,600 Speaker 6: That is also so funny to me that like Let's 667 00:34:20,600 --> 00:34:22,960 Speaker 6: go Brandon was you know, I feel like treated as 668 00:34:23,000 --> 00:34:25,640 Speaker 6: this like epic liberal dunk when it's like I also 669 00:34:25,640 --> 00:34:27,480 Speaker 6: think Joe Biden's not great. 670 00:34:27,680 --> 00:34:28,120 Speaker 1: Yeah. 671 00:34:28,360 --> 00:34:31,480 Speaker 7: Also, there was a song that played on the radio 672 00:34:32,280 --> 00:34:36,680 Speaker 7: called fuck Donald Trump. So take this Ned Flanders, bullshit 673 00:34:37,239 --> 00:34:40,879 Speaker 7: my face, Like what are you talking about? That's your 674 00:34:40,920 --> 00:34:42,520 Speaker 7: old good one, guys. 675 00:34:44,000 --> 00:34:47,960 Speaker 1: Let's go on. And it's like actually a reference to 676 00:34:48,040 --> 00:34:49,680 Speaker 1: someone saying fuck Biden. 677 00:34:49,880 --> 00:34:53,280 Speaker 6: So yeah, so you're you're okay with cursing in public. 678 00:34:54,520 --> 00:34:57,960 Speaker 1: Yeah, yeah, I mean there's also people are pointing out 679 00:34:58,000 --> 00:35:02,520 Speaker 1: there's a whole quite of like the US government is 680 00:35:02,560 --> 00:35:06,800 Speaker 1: really politicizing TikTok and like the like whether it should 681 00:35:06,800 --> 00:35:09,640 Speaker 1: be allowed and whether it's a security risk. And he 682 00:35:10,239 --> 00:35:13,920 Speaker 1: like straight up banned most federal government devices from using 683 00:35:14,000 --> 00:35:18,360 Speaker 1: TikTok in twenty twenty two due to bipartisan security concerns. 684 00:35:18,840 --> 00:35:22,200 Speaker 7: So do you think the Biden account password is the 685 00:35:22,239 --> 00:35:28,319 Speaker 7: same as like his Skiff password, Like he the band 686 00:35:28,360 --> 00:35:31,279 Speaker 7: could only memorize so many passwords. Yeah, I just think 687 00:35:31,320 --> 00:35:35,279 Speaker 7: there's a high chance it's just Joe Biden in all lowercase. 688 00:35:36,920 --> 00:35:42,120 Speaker 1: But nobody would ever think to put it all lowercase jack. Yeah, 689 00:35:42,200 --> 00:35:47,200 Speaker 1: I don't know, like to security around his I guess 690 00:35:47,239 --> 00:35:49,160 Speaker 1: I would say it would be a nightmare if he 691 00:35:49,440 --> 00:35:51,759 Speaker 1: actually used technology himself. 692 00:35:52,040 --> 00:35:53,719 Speaker 2: But yeah, they were. 693 00:35:53,880 --> 00:35:57,360 Speaker 1: The thing that his administration is saying is that actually 694 00:35:57,400 --> 00:35:59,920 Speaker 1: this is like, we use a device that is only 695 00:36:00,360 --> 00:36:05,480 Speaker 1: for posting on Joe Biden's TikTok. So we're good here. 696 00:36:05,880 --> 00:36:08,120 Speaker 6: Yeah, it's locked in like a glass case. 697 00:36:08,760 --> 00:36:17,359 Speaker 7: Uh, the sandbox, firewalled TikTok Presidential TikTok machine. 698 00:36:16,560 --> 00:36:19,080 Speaker 6: Back to the John Stewart Daily Show thing. Something that 699 00:36:19,120 --> 00:36:21,000 Speaker 6: I do appreciate about what he was saying is like 700 00:36:21,480 --> 00:36:23,239 Speaker 6: he was basically saying, you know exactly you brought it 701 00:36:23,280 --> 00:36:25,560 Speaker 6: up earlier of like, oh, if he's really energetic in meeting, 702 00:36:25,680 --> 00:36:29,200 Speaker 6: show us that like he's giving advice to the Biden campaign. Yeah, 703 00:36:29,440 --> 00:36:31,399 Speaker 6: And it's like that feels like good. You know, it's 704 00:36:31,440 --> 00:36:34,920 Speaker 6: like both presidential candidates are old as fuck, Like you know, 705 00:36:35,000 --> 00:36:37,680 Speaker 6: I totally get it, but it's like, at least let's 706 00:36:37,719 --> 00:36:41,680 Speaker 6: pretend that they're like still active, you know, like that's 707 00:36:41,719 --> 00:36:44,239 Speaker 6: your I feel like that's your job is like you know, 708 00:36:44,320 --> 00:36:46,160 Speaker 6: a PR person or a press person or you know, 709 00:36:46,160 --> 00:36:49,120 Speaker 6: a media person or whatever, is to like at least 710 00:36:49,200 --> 00:36:52,759 Speaker 6: make the messaging healpoble so that I don't have to 711 00:36:52,840 --> 00:36:55,480 Speaker 6: pretend that he's well with it. 712 00:36:55,719 --> 00:36:57,080 Speaker 1: Yes, I go. 713 00:36:57,280 --> 00:37:00,400 Speaker 2: The other side of this, though, is like, you know, 714 00:37:00,560 --> 00:37:05,200 Speaker 2: we live through puppet Ronald Reagan dementia in office. 715 00:37:05,360 --> 00:37:08,560 Speaker 7: We just go full warhammer forty K with this stuff, 716 00:37:08,560 --> 00:37:11,160 Speaker 7: and either of these two guys, we just acknowledge that 717 00:37:11,239 --> 00:37:14,800 Speaker 7: it's a cadre of advisors and you know whatever who's 718 00:37:14,840 --> 00:37:18,720 Speaker 7: doing stuff and we just put them on a fucking 719 00:37:18,800 --> 00:37:20,120 Speaker 7: golden throne when they win. 720 00:37:22,200 --> 00:37:23,319 Speaker 2: Yeah, that'd be fun. 721 00:37:24,000 --> 00:37:26,680 Speaker 1: Yeah. Make sure they eat some slim gyms so they're 722 00:37:26,680 --> 00:37:27,360 Speaker 1: well preserved. 723 00:37:27,480 --> 00:37:31,760 Speaker 7: Yeah yeah, crackling with psychic energy. 724 00:37:32,040 --> 00:37:35,080 Speaker 6: Yeah, when you when you become president, you're just America's 725 00:37:35,120 --> 00:37:36,560 Speaker 6: trophy for four years. 726 00:37:36,880 --> 00:37:39,799 Speaker 7: Yeah, you know what, you should be put inside of 727 00:37:39,880 --> 00:37:40,800 Speaker 7: the Lincoln Monument. 728 00:37:43,120 --> 00:37:44,959 Speaker 6: Wait on that giant, big stone chair. 729 00:37:45,640 --> 00:37:47,759 Speaker 7: No, no, inside of it, Like you're sitting in the 730 00:37:47,760 --> 00:37:49,680 Speaker 7: same way, but you're just sort of like each each 731 00:37:49,719 --> 00:37:52,560 Speaker 7: one is one layer smaller inside. 732 00:37:53,200 --> 00:37:55,000 Speaker 1: Yeah, like like snoke, like. 733 00:37:55,200 --> 00:37:58,640 Speaker 2: A nesting doll. But presidents. Oh yeah, I. 734 00:37:58,520 --> 00:38:03,920 Speaker 7: Guess that the Lincoln Monument is a mech's I. 735 00:38:03,880 --> 00:38:06,280 Speaker 6: Thought you were proposing that once you stop being president, 736 00:38:06,360 --> 00:38:07,960 Speaker 6: they have to hollow you out and put the new 737 00:38:07,960 --> 00:38:08,800 Speaker 6: president inside. 738 00:38:08,960 --> 00:38:13,480 Speaker 1: Oh, you just have to elect smaller and smaller each 739 00:38:13,520 --> 00:38:14,279 Speaker 1: subsequent time. 740 00:38:14,360 --> 00:38:15,960 Speaker 2: It's not the end of the world if we do that. 741 00:38:16,520 --> 00:38:18,200 Speaker 1: Yeah, I'm just. 742 00:38:18,080 --> 00:38:19,920 Speaker 2: Saying, yeah. 743 00:38:19,520 --> 00:38:23,480 Speaker 1: I do think a big part of our problem is 744 00:38:23,520 --> 00:38:26,680 Speaker 1: that the thing you're describing is basically the monarchy in 745 00:38:26,760 --> 00:38:31,279 Speaker 1: the UK. And they realized a long time ago that 746 00:38:32,239 --> 00:38:36,480 Speaker 1: monarchs shouldn't have power, and like that is just like 747 00:38:36,520 --> 00:38:41,240 Speaker 1: you go sit somewhere on a fancy chair and everyone 748 00:38:41,360 --> 00:38:45,400 Speaker 1: is just like, oh, she's taking the dogs for a 749 00:38:45,400 --> 00:38:49,000 Speaker 1: walk today, how nice. And then they're like unglamorous people 750 00:38:49,120 --> 00:38:51,800 Speaker 1: nobody really gives a shit about who are actually being 751 00:38:52,280 --> 00:38:55,200 Speaker 1: hired and fired from the job of, you know, running 752 00:38:55,200 --> 00:38:58,960 Speaker 1: the country. And in America, it's still the same fucking 753 00:38:59,200 --> 00:39:04,439 Speaker 1: person that all the all the royalty and all the 754 00:39:05,040 --> 00:39:08,120 Speaker 1: ship giving is tied up with the same person who 755 00:39:08,200 --> 00:39:12,520 Speaker 1: actually is supposed to have the job, and that's unhealthy. 756 00:39:12,800 --> 00:39:17,680 Speaker 7: I would argue, Yeah, it's roll bad at word, we're 757 00:39:17,719 --> 00:39:18,279 Speaker 7: living through it. 758 00:39:18,320 --> 00:39:22,359 Speaker 2: We're living through inequences for these people. 759 00:39:22,320 --> 00:39:27,960 Speaker 6: Taylor Swift and Travis Kelsey or in love. Everything's great, Yes. 760 00:39:28,120 --> 00:39:32,279 Speaker 1: Thank you. I don't see what everybody's complaining about Travis 761 00:39:32,400 --> 00:39:36,359 Speaker 1: and Taylor. Congratulations to everyone on living through it. It's 762 00:39:36,360 --> 00:39:40,839 Speaker 1: a bad it's bad bad, it's bad. Yeah, you know, 763 00:39:41,080 --> 00:39:44,640 Speaker 1: like I do feel like everybody should just acknowledge end 764 00:39:44,680 --> 00:39:47,480 Speaker 1: of day, Hey, we made it through another one, fucking 765 00:39:47,960 --> 00:39:50,040 Speaker 1: like the way you do and like you know, recovery 766 00:39:50,120 --> 00:39:52,919 Speaker 1: programs where you're like day at a time, this ship 767 00:39:53,080 --> 00:39:53,480 Speaker 1: was hard. 768 00:39:53,680 --> 00:39:55,920 Speaker 2: Oh you know, I thought you were talking about like 769 00:39:56,440 --> 00:39:57,800 Speaker 2: being in like Trench Warship. 770 00:39:58,480 --> 00:40:01,640 Speaker 1: Yeah, well that too, Yeah, I guess the same vibe. 771 00:40:01,680 --> 00:40:02,040 Speaker 2: I guess. 772 00:40:02,200 --> 00:40:04,000 Speaker 6: So we're still talking about Taylor Swift, right. 773 00:40:04,280 --> 00:40:08,360 Speaker 1: Yeah, talking about how I get through the period like 774 00:40:08,520 --> 00:40:11,160 Speaker 1: after she announces a new album and before the album 775 00:40:11,239 --> 00:40:14,600 Speaker 1: actually dropped. Yeah, it's just like, well, I'm supposed to 776 00:40:14,600 --> 00:40:15,920 Speaker 1: just get out of bed and act like this is 777 00:40:15,920 --> 00:40:24,399 Speaker 1: a normal day. Sure, ridiculous, fucking ridiculous. Andrew, all right, 778 00:40:24,480 --> 00:40:26,520 Speaker 1: we're gonna take a quick break and we'll come back 779 00:40:26,560 --> 00:40:29,640 Speaker 1: and talk about important things like Madam Webb. 780 00:40:29,560 --> 00:40:30,680 Speaker 2: Will be right back. 781 00:40:39,280 --> 00:40:43,160 Speaker 1: And we're back, and people need to go check out 782 00:40:43,320 --> 00:40:46,359 Speaker 1: cool people who did cool stuff both of your podcasts. 783 00:40:46,480 --> 00:40:49,560 Speaker 1: But there are so many great episodes of cool people 784 00:40:49,560 --> 00:40:51,600 Speaker 1: who did cool stuff. There's the recent one about the 785 00:40:51,640 --> 00:40:56,560 Speaker 1: Collective and by maur Germany, who like, as Nazism is 786 00:40:56,680 --> 00:41:01,279 Speaker 1: rising up and you know, the economy is collapsing around them, 787 00:41:01,360 --> 00:41:05,879 Speaker 1: they collectively like deliver one million illegal abortions a year 788 00:41:06,160 --> 00:41:11,120 Speaker 1: as birth control as being like just so incredible and badass. 789 00:41:11,160 --> 00:41:14,120 Speaker 1: And but I did want to talk about this story 790 00:41:14,320 --> 00:41:19,520 Speaker 1: about the invention of the paramedics because it's a group 791 00:41:19,640 --> 00:41:25,120 Speaker 1: of people, a community suffering under severe systemic racism in 792 00:41:25,160 --> 00:41:31,480 Speaker 1: Pittsburgh and they come together and become the first paramedics 793 00:41:31,719 --> 00:41:37,399 Speaker 1: in the history of America, maybe the world. They are 794 00:41:37,560 --> 00:41:41,080 Speaker 1: the reason we have paramedics today. Like all the life 795 00:41:41,080 --> 00:41:43,759 Speaker 1: saving care we expect to show up in an ambulance 796 00:41:44,280 --> 00:41:48,359 Speaker 1: started with them, and it was pretty It was like 797 00:41:48,560 --> 00:41:50,839 Speaker 1: I would have guessed so much longer ago, but it 798 00:41:50,880 --> 00:41:55,640 Speaker 1: was like nineteen sixty eight. Yeah, yeah, and like I 799 00:41:55,640 --> 00:41:59,279 Speaker 1: don't know. It's another example I've talked before about how 800 00:42:00,120 --> 00:42:03,160 Speaker 1: there are two types of inventions. There's like the iPhone, 801 00:42:03,239 --> 00:42:07,759 Speaker 1: which is like something that is invented through sheer, like 802 00:42:08,200 --> 00:42:11,680 Speaker 1: tyranny of will, like years before the world might be 803 00:42:12,160 --> 00:42:15,880 Speaker 1: ready for it, and it's like in in front of 804 00:42:16,280 --> 00:42:18,280 Speaker 1: And then there are the inventions that like the world 805 00:42:18,360 --> 00:42:23,120 Speaker 1: is repeatedly calling out for and like just people just 806 00:42:23,239 --> 00:42:27,960 Speaker 1: keep fucking fucking it up. Like the screwdriver was invented 807 00:42:28,080 --> 00:42:31,000 Speaker 1: after the screw so they were just like yeah, they 808 00:42:31,239 --> 00:42:36,080 Speaker 1: like bears the screw in a chisel. They were just 809 00:42:36,120 --> 00:42:38,080 Speaker 1: like whatever they said on hand, They're like, I guess 810 00:42:38,080 --> 00:42:40,520 Speaker 1: this coin can kind of get it in there. And 811 00:42:42,480 --> 00:42:46,239 Speaker 1: took them like fucking decades to invent the screwdriver. But 812 00:42:46,400 --> 00:42:49,480 Speaker 1: the paramedics. Seems like just listening to you, like tell 813 00:42:49,560 --> 00:42:54,120 Speaker 1: the story of you know it starts. You started with 814 00:42:54,200 --> 00:42:57,719 Speaker 1: like people drunk driving ambulances around the Civil War. 815 00:42:58,440 --> 00:43:02,400 Speaker 5: Yeah yeah, wait, so what what did it look like? 816 00:43:02,680 --> 00:43:05,160 Speaker 5: Because I haven't listened to this episode. So what we 817 00:43:05,160 --> 00:43:07,120 Speaker 5: were just just pulling up to the basically to the 818 00:43:07,120 --> 00:43:09,239 Speaker 5: hospital before, like just some in the back of the car. 819 00:43:09,239 --> 00:43:10,680 Speaker 2: Its like get them to the hospital. 820 00:43:11,520 --> 00:43:13,400 Speaker 3: So there would be people who would go around. There 821 00:43:13,520 --> 00:43:15,759 Speaker 3: be someone you could call and they would send an ambulance, 822 00:43:16,040 --> 00:43:18,560 Speaker 3: and the ambulance would not be an ambulance. They would 823 00:43:18,560 --> 00:43:20,880 Speaker 3: send a car. And it was different plate it was 824 00:43:20,920 --> 00:43:23,080 Speaker 3: different in different places. There was no central idea of 825 00:43:23,120 --> 00:43:26,280 Speaker 3: how to do it. A lot of times it was cops, 826 00:43:26,480 --> 00:43:30,640 Speaker 3: and cops don't always treat different people the same. Wait, 827 00:43:30,640 --> 00:43:32,719 Speaker 3: it was I've heard of this, I've heard of this. Yeah, 828 00:43:32,760 --> 00:43:34,920 Speaker 3: it's crazy, I know, don't worry. It was a long 829 00:43:34,960 --> 00:43:39,799 Speaker 3: time ago. And then also funeral homes were a big one. 830 00:43:40,200 --> 00:43:42,960 Speaker 3: The funeral homes had a hearse and you could put 831 00:43:43,040 --> 00:43:46,839 Speaker 3: a person in a hearse, so you you're like you're 832 00:43:46,880 --> 00:43:48,759 Speaker 3: trying not to die of a heart attack and our 833 00:43:48,840 --> 00:43:51,320 Speaker 3: hearse shows up and they're literally like there's like pedals 834 00:43:51,360 --> 00:43:53,759 Speaker 3: left over from the last person, and it was just 835 00:43:54,320 --> 00:43:56,799 Speaker 3: it was private services, and the other one was firefighters, 836 00:43:56,880 --> 00:43:58,520 Speaker 3: and then the other one was just like purely private 837 00:43:58,520 --> 00:44:00,480 Speaker 3: services where there's someone in your neighborhood you call and 838 00:44:00,560 --> 00:44:04,720 Speaker 3: like John will come over and drive you to the hospital. Yeah, 839 00:44:04,880 --> 00:44:07,640 Speaker 3: he's the hero of the story, and so yeah, they 840 00:44:07,719 --> 00:44:10,719 Speaker 3: just this completely blew my mind too. Like if you 841 00:44:10,760 --> 00:44:13,200 Speaker 3: had asked me when the paramedics were invented, I would 842 00:44:13,239 --> 00:44:16,200 Speaker 3: have been like Victorian era and it was a little 843 00:44:16,200 --> 00:44:19,000 Speaker 3: bit late that it took that long or literally this 844 00:44:19,040 --> 00:44:21,440 Speaker 3: has always happened, and people used to do it with litters, 845 00:44:21,600 --> 00:44:23,279 Speaker 3: you know, where you like carry the person or whatever. 846 00:44:23,360 --> 00:44:25,239 Speaker 1: Yeah, you know a picture like somebody coming out and 847 00:44:25,280 --> 00:44:32,600 Speaker 1: like plugging a fire bellows into your mouth and like yeah. 848 00:44:32,600 --> 00:44:34,440 Speaker 3: Well that was the other thing is that CPR is 849 00:44:34,480 --> 00:44:36,360 Speaker 3: a recent invention, is the other And they were invented 850 00:44:36,360 --> 00:44:40,960 Speaker 3: by by the same guy UNIV. But yeah, the thing 851 00:44:41,000 --> 00:44:43,600 Speaker 3: that paramedics changed was that the person who comes to 852 00:44:43,680 --> 00:44:47,040 Speaker 3: drive you the hospital performs care for you there on 853 00:44:47,080 --> 00:44:49,560 Speaker 3: the street. And there was a while where people weren't 854 00:44:49,600 --> 00:44:52,800 Speaker 3: into it. People were scared, especially because the first paramedic 855 00:44:52,840 --> 00:44:56,319 Speaker 3: team was all black, and so at first they were 856 00:44:56,360 --> 00:44:58,759 Speaker 3: in an all black neighborhood of in Pittsburgh, and it 857 00:44:58,800 --> 00:45:01,319 Speaker 3: was like fine. And then eventually, like the white people 858 00:45:01,360 --> 00:45:04,239 Speaker 3: in the surrounding neighborhoods were like, we'd rather paramedics came 859 00:45:04,320 --> 00:45:09,640 Speaker 3: than cops. We keep dying just so yeah, yeah, and 860 00:45:09,680 --> 00:45:12,359 Speaker 3: so then black people will come. But then random white 861 00:45:12,440 --> 00:45:14,800 Speaker 3: racist would be like, no, please, I'd rather die of 862 00:45:14,840 --> 00:45:17,080 Speaker 3: this heart attack. Just get me to the hospital, all right, 863 00:45:17,120 --> 00:45:21,360 Speaker 3: no problems, all right. So now, and that's the weirdest 864 00:45:21,360 --> 00:45:23,480 Speaker 3: thing about like reading about the medical profession is that 865 00:45:23,480 --> 00:45:28,240 Speaker 3: that's not the attitude that even like like black doctors 866 00:45:28,239 --> 00:45:30,880 Speaker 3: and black paramedics who are dealing with racist patients are like, 867 00:45:30,920 --> 00:45:32,400 Speaker 3: and then we just have to do it anyway. And 868 00:45:32,400 --> 00:45:34,200 Speaker 3: I'm like, y'all are made of better stuff than me. 869 00:45:35,280 --> 00:45:37,239 Speaker 1: Right, Okay, I'll wait. 870 00:45:38,080 --> 00:45:38,239 Speaker 2: Wait. 871 00:45:40,120 --> 00:45:44,080 Speaker 1: You know, so an important person has a heart attack 872 00:45:44,120 --> 00:45:50,279 Speaker 1: on stage and a nurse goes and is delivering like 873 00:45:50,400 --> 00:45:54,080 Speaker 1: CPR life saving me, and then the cops, who are 874 00:45:54,160 --> 00:45:57,000 Speaker 1: the authority at this time in like getting somebody to 875 00:45:57,040 --> 00:46:01,719 Speaker 1: the hospital, kick her ass out off stage and then 876 00:46:01,920 --> 00:46:04,520 Speaker 1: drag this person of the hospital, I think, say they 877 00:46:04,600 --> 00:46:05,719 Speaker 1: kicked her ass. 878 00:46:08,440 --> 00:46:10,279 Speaker 2: A white nur. It was a white So. 879 00:46:12,360 --> 00:46:15,600 Speaker 1: Wantn't you go bake a pie lady exactly? And they 880 00:46:16,320 --> 00:46:18,680 Speaker 1: killed this guy by you know, because they don't know 881 00:46:18,719 --> 00:46:19,279 Speaker 1: shit about them. 882 00:46:19,640 --> 00:46:22,200 Speaker 2: They're interrupting the intervention, basically. 883 00:46:22,080 --> 00:46:27,720 Speaker 1: Interrupting the CPR, and so this like, people are pissed. 884 00:46:27,800 --> 00:46:31,080 Speaker 1: They killed a major like political figure, basically the head 885 00:46:31,080 --> 00:46:36,480 Speaker 1: of Baltimore's Democratic Party at Pitty Pittsburgh Democratic Party at 886 00:46:36,480 --> 00:46:40,760 Speaker 1: the time, and so yeah, yeah, so people are pissed, 887 00:46:40,920 --> 00:46:44,279 Speaker 1: and they bring in this guy who had just kind 888 00:46:44,320 --> 00:46:50,080 Speaker 1: of innovated CPR and was like his theory was that 889 00:46:50,360 --> 00:46:53,880 Speaker 1: you could teach everyday people to do this thing that 890 00:46:53,960 --> 00:46:58,200 Speaker 1: would keep people alive for a long time, much longer 891 00:46:58,200 --> 00:47:03,120 Speaker 1: than they were living before. And so they trained regular 892 00:47:03,320 --> 00:47:08,400 Speaker 1: people to be the paramedics, like specifically, not cops or 893 00:47:08,440 --> 00:47:10,000 Speaker 1: I guess they were open to cops, and the cops 894 00:47:10,080 --> 00:47:12,240 Speaker 1: were like, ah, fuck, this that's a training. 895 00:47:12,800 --> 00:47:13,560 Speaker 2: We don't do this. 896 00:47:13,680 --> 00:47:17,400 Speaker 1: Sorry, you know, we don't do training. But what so 897 00:47:17,440 --> 00:47:20,000 Speaker 1: why do you think they went in that direction to 898 00:47:20,480 --> 00:47:25,080 Speaker 1: like train people who weren't like not being like we're 899 00:47:25,120 --> 00:47:27,960 Speaker 1: a traveling band of doctors. Was it just like doctors 900 00:47:27,960 --> 00:47:28,880 Speaker 1: were in short supply. 901 00:47:29,520 --> 00:47:31,640 Speaker 3: It was a couple different things. One is that they 902 00:47:31,680 --> 00:47:35,160 Speaker 3: had this idea for this job paramedics, and they were like, 903 00:47:35,200 --> 00:47:37,600 Speaker 3: who can we get to do this job? Where it 904 00:47:37,640 --> 00:47:40,640 Speaker 3: is going to take? Like I don't remember the number 905 00:47:40,640 --> 00:47:43,200 Speaker 3: of hours, an awful lot of hours of training, like 906 00:47:43,239 --> 00:47:47,040 Speaker 3: an awfully long intensive thing. We have no idea how 907 00:47:47,080 --> 00:47:50,239 Speaker 3: financially feasible it will be. We have no idea whether 908 00:47:50,320 --> 00:47:52,799 Speaker 3: or not this job will exist when you finish all 909 00:47:52,840 --> 00:47:55,279 Speaker 3: of this training. Who was willing to do that? 910 00:47:55,760 --> 00:47:56,960 Speaker 2: Right? Yeah? 911 00:47:57,000 --> 00:48:00,839 Speaker 3: And so it was not the doctors. And then also yeah, 912 00:48:00,880 --> 00:48:04,400 Speaker 3: like the I'm absolute shit remembering names as soon as 913 00:48:04,400 --> 00:48:06,279 Speaker 3: I've moved on to the next episode. I remember the 914 00:48:06,320 --> 00:48:08,319 Speaker 3: story arcs and things. Sure I can't remember the name 915 00:48:08,320 --> 00:48:12,200 Speaker 3: of the CPR guy, but he's white, the stanger. Oh 916 00:48:12,239 --> 00:48:15,439 Speaker 3: that sounds right, but I really don't remember. I remember 917 00:48:15,480 --> 00:48:17,840 Speaker 3: a lot about his backstory. Grew up in the Nazi 918 00:48:17,840 --> 00:48:22,640 Speaker 3: controlled asilahoven. 919 00:48:21,480 --> 00:48:22,080 Speaker 4: I don't remember. 920 00:48:22,200 --> 00:48:27,120 Speaker 3: And so he also his thing is believing that we 921 00:48:27,200 --> 00:48:29,560 Speaker 3: need to stop some of the gatekeeping around medical stuff. 922 00:48:29,560 --> 00:48:31,480 Speaker 3: We still need to train people, and people need to 923 00:48:31,480 --> 00:48:33,880 Speaker 3: be highly trained. But he was like, I believe we 924 00:48:33,880 --> 00:48:36,480 Speaker 3: can train regular people. So that was like partly his 925 00:48:36,640 --> 00:48:40,440 Speaker 3: crusade around it. It was partly the police unions were 926 00:48:40,480 --> 00:48:44,840 Speaker 3: blocking cops getting training, and it was partly that the 927 00:48:44,920 --> 00:48:47,480 Speaker 3: group that stepped up in order to say, hey, we're 928 00:48:47,520 --> 00:48:50,280 Speaker 3: going to do this was a not really a mutual 929 00:48:50,320 --> 00:48:54,880 Speaker 3: aid group, but a black empowerment group that taught entrepreneurship 930 00:48:55,120 --> 00:48:59,359 Speaker 3: within this neighborhood and and did like stuff like drive 931 00:48:59,360 --> 00:49:01,799 Speaker 3: around the food van and sell food out of the 932 00:49:01,800 --> 00:49:04,920 Speaker 3: back to break the food desert. And they were like, well, 933 00:49:04,960 --> 00:49:07,239 Speaker 3: we can tear it. We have some organizational ideas, and 934 00:49:07,280 --> 00:49:09,360 Speaker 3: so it was coming out of the civil rights movement also, 935 00:49:09,520 --> 00:49:12,760 Speaker 3: so it was kind of specific parts of black civil 936 00:49:12,800 --> 00:49:16,719 Speaker 3: rights stuff, meeting hey, how do we destroy the gatekeeping 937 00:49:16,760 --> 00:49:19,919 Speaker 3: of the medical industry, and just like and then even 938 00:49:19,960 --> 00:49:24,399 Speaker 3: then they had trouble getting people to come to these trainings, right, 939 00:49:24,640 --> 00:49:26,680 Speaker 3: and so they were like kind of just rounding people 940 00:49:26,760 --> 00:49:29,839 Speaker 3: up on the street. So the first people, the first paramedics, 941 00:49:30,080 --> 00:49:33,920 Speaker 3: were not just black folks who were impoverished systemically from 942 00:49:33,920 --> 00:49:36,160 Speaker 3: that reason, but it was also a lot of felons. 943 00:49:36,200 --> 00:49:38,320 Speaker 3: It was some people who didn't have any like stable 944 00:49:38,360 --> 00:49:40,000 Speaker 3: places to live, a lot of people who are dealing 945 00:49:40,000 --> 00:49:43,320 Speaker 3: with unemployment, vets with serious PTSD coming back from the 946 00:49:43,400 --> 00:49:47,040 Speaker 3: Vietnam War. It was like it was like the fuck ups, 947 00:49:47,719 --> 00:49:49,440 Speaker 3: you know, and they were like, well, we're not the 948 00:49:49,440 --> 00:49:51,640 Speaker 3: fuck ups. We're actually really awesome and are doing all 949 00:49:51,719 --> 00:49:53,799 Speaker 3: this amazing work, which is part of why it would 950 00:49:53,800 --> 00:49:56,080 Speaker 3: make such a fucking killer movie. And then there was 951 00:49:56,120 --> 00:49:59,560 Speaker 3: even the part like even at one point, in order 952 00:49:59,560 --> 00:50:02,160 Speaker 3: to get city funding, they were like, sorry, you need 953 00:50:02,200 --> 00:50:04,880 Speaker 3: to have a white person, and so they were like, like, 954 00:50:05,080 --> 00:50:07,600 Speaker 3: just one, and so they found a guy who had 955 00:50:07,600 --> 00:50:10,719 Speaker 3: been the token white soldier in a black unit in 956 00:50:10,800 --> 00:50:13,359 Speaker 3: Vietnam and we're like, hey, can you be our token 957 00:50:13,400 --> 00:50:16,160 Speaker 3: white person. He was like sick, Yeah, no, totally, that's fine. 958 00:50:16,560 --> 00:50:17,160 Speaker 4: Oh hell. 959 00:50:17,239 --> 00:50:19,600 Speaker 3: And so you even have, you know, from a Hollywood 960 00:50:19,600 --> 00:50:21,680 Speaker 3: point of view where you need that, they even have that. 961 00:50:21,800 --> 00:50:22,920 Speaker 3: So it's a perfect movie. 962 00:50:23,320 --> 00:50:27,360 Speaker 5: Yeah yeah, yeah, you have your new trope, the magical 963 00:50:27,400 --> 00:50:30,919 Speaker 5: white guy. But he just like stays in the bag 964 00:50:30,960 --> 00:50:33,239 Speaker 5: and doesn't do shit. Yeah, it's like it's like, what 965 00:50:33,280 --> 00:50:35,920 Speaker 5: does he do? It's just amazing his whiteness, just even 966 00:50:35,960 --> 00:50:39,640 Speaker 5: passively off to the side the doors that it opens. 967 00:50:40,360 --> 00:50:42,239 Speaker 1: This is also something that we saw when we were 968 00:50:42,280 --> 00:50:46,200 Speaker 1: talking about alternatives to policing and like this programming Eugene, 969 00:50:46,239 --> 00:50:50,440 Speaker 1: Oregon that has been going since I think the early eighties. 970 00:50:51,160 --> 00:50:53,640 Speaker 1: I feel like it's called like creeps or something like that. 971 00:50:53,680 --> 00:50:56,040 Speaker 1: They give it the worst acronym possible. But it's like 972 00:50:56,480 --> 00:50:59,680 Speaker 1: if if you need to call someone for help but 973 00:50:59,719 --> 00:51:02,400 Speaker 1: you don't wants the police showing up with a gun, 974 00:51:02,920 --> 00:51:05,719 Speaker 1: you have this alternative and like I remember reading a 975 00:51:05,719 --> 00:51:09,719 Speaker 1: profile and the things that they're solving are just like, 976 00:51:10,360 --> 00:51:12,520 Speaker 1: I don't know, this drunk guy is like having a 977 00:51:12,560 --> 00:51:13,759 Speaker 1: fight with. 978 00:51:14,640 --> 00:51:20,080 Speaker 5: His partners and me. It's called what is it cahots cahoots? 979 00:51:20,320 --> 00:51:21,120 Speaker 5: Isn't it cahoots? 980 00:51:21,719 --> 00:51:21,959 Speaker 1: Yeah? 981 00:51:21,960 --> 00:51:22,239 Speaker 2: It might. 982 00:51:22,600 --> 00:51:25,880 Speaker 1: I think it had a different name for un but 983 00:51:26,560 --> 00:51:30,840 Speaker 1: I don't it creeps. As Nixon's like committee to re 984 00:51:30,880 --> 00:51:34,600 Speaker 1: elect the president, it was something like more sinister though, 985 00:51:35,040 --> 00:51:37,680 Speaker 1: but anyways, like they would just like give somebody a ride, 986 00:51:37,840 --> 00:51:40,520 Speaker 1: you know, it's just like really like community based, like oh, 987 00:51:40,560 --> 00:51:43,440 Speaker 1: I actually know that guy, or I know his cousin. 988 00:51:43,600 --> 00:51:45,520 Speaker 1: I'm gonna have his cousin come give him a ride, 989 00:51:45,960 --> 00:51:49,440 Speaker 1: and like you end up seeing this is what is 990 00:51:49,920 --> 00:51:54,320 Speaker 1: useful about the Freedom House people being the people who 991 00:51:54,719 --> 00:51:57,600 Speaker 1: are serving this community is like you know, I think 992 00:51:57,840 --> 00:52:00,800 Speaker 1: Margaret in the episode you talked about if one's odeing, 993 00:52:01,680 --> 00:52:06,160 Speaker 1: they probably know who dealt them those drugs and can 994 00:52:06,200 --> 00:52:08,279 Speaker 1: like go talk to that dealer and like find out 995 00:52:08,600 --> 00:52:11,840 Speaker 1: what they took. You know, it's like they are plugged 996 00:52:11,840 --> 00:52:14,720 Speaker 1: into the community. So you're just like paying for somebody 997 00:52:14,760 --> 00:52:19,120 Speaker 1: within the community who knows people to go in and 998 00:52:19,200 --> 00:52:24,280 Speaker 1: do the very basic, you know, work of also incredibly 999 00:52:24,320 --> 00:52:27,960 Speaker 1: complicated and important work of like life saving technology or 1000 00:52:28,000 --> 00:52:32,600 Speaker 1: life saving medical care, but also just having that context 1001 00:52:32,640 --> 00:52:35,319 Speaker 1: and it being someone that like people are comfortable with 1002 00:52:35,440 --> 00:52:40,040 Speaker 1: and not somebody who's pointing a gun at you. It 1003 00:52:40,400 --> 00:52:44,560 Speaker 1: is so important and just like feels like this could 1004 00:52:44,560 --> 00:52:48,960 Speaker 1: be spread applied to like so many other places, right 1005 00:52:49,160 --> 00:52:51,560 Speaker 1: like in the modern world where we're seeing it, where 1006 00:52:51,560 --> 00:52:54,880 Speaker 1: we still have this crisis of the place to call 1007 00:52:55,000 --> 00:52:58,279 Speaker 1: when somebody's having mental health crisis or you know a 1008 00:52:58,320 --> 00:53:01,760 Speaker 1: lot of different problems is the fucking police. 1009 00:53:02,160 --> 00:53:04,759 Speaker 3: Like I don't know, no, I mean, it just makes 1010 00:53:04,800 --> 00:53:06,439 Speaker 3: sense to me, and especially when a lot of stuff 1011 00:53:06,480 --> 00:53:08,680 Speaker 3: that puts people in dangerous criminalized, you know, you know, 1012 00:53:09,040 --> 00:53:11,680 Speaker 3: when when you're dealing with someone who hasn't who's odeane. 1013 00:53:12,160 --> 00:53:14,320 Speaker 3: Oh and then just to throw in that also the 1014 00:53:14,360 --> 00:53:16,319 Speaker 3: same guy whose name I can't remember, was I think 1015 00:53:16,360 --> 00:53:20,319 Speaker 3: the first person to administer narkan or like, yeah, use 1016 00:53:20,440 --> 00:53:22,440 Speaker 3: narcan not just as a way to pull people out 1017 00:53:22,480 --> 00:53:25,640 Speaker 3: of anesesia, but also to pull people out of overdosing. 1018 00:53:26,280 --> 00:53:29,759 Speaker 3: But yeah, like if you're if someone's overdosing, you call 1019 00:53:29,760 --> 00:53:31,400 Speaker 3: the cops. You don't know whether you say that person's 1020 00:53:31,400 --> 00:53:31,719 Speaker 3: life or. 1021 00:53:31,719 --> 00:53:36,520 Speaker 2: Killed them, right, is it? Doctor Peter Saphar Again, I. 1022 00:53:36,520 --> 00:53:39,680 Speaker 3: Literally it's just names go in and out of my head. 1023 00:53:39,760 --> 00:53:40,440 Speaker 2: It's awful. 1024 00:53:40,800 --> 00:53:42,440 Speaker 3: I need to. 1025 00:53:42,440 --> 00:53:43,920 Speaker 5: Have a script in front of me in order or 1026 00:53:44,000 --> 00:53:45,799 Speaker 5: like looking and I'm like there, it's like there's like 1027 00:53:45,920 --> 00:53:50,440 Speaker 5: three doctors that made invented CP like there were or 1028 00:53:50,480 --> 00:53:51,000 Speaker 5: in Jude. 1029 00:53:51,520 --> 00:53:53,040 Speaker 2: Yeah it's Peter Saffhar. 1030 00:53:53,280 --> 00:53:57,719 Speaker 1: He born in Vienna, Austria, and yeah, yeah ended up 1031 00:53:57,760 --> 00:54:01,280 Speaker 1: becoming the yeah did and he created CPR. 1032 00:54:01,440 --> 00:54:03,840 Speaker 3: Yeah, and he did all this like tricksy stuff to 1033 00:54:03,880 --> 00:54:05,479 Speaker 3: avoid serving in the Nazi army. 1034 00:54:05,920 --> 00:54:06,160 Speaker 2: Yeah. 1035 00:54:06,160 --> 00:54:10,720 Speaker 3: He like like also almost killed himself with medical issues 1036 00:54:10,760 --> 00:54:12,680 Speaker 3: in order to be medically exempt from serving in the 1037 00:54:12,760 --> 00:54:16,719 Speaker 3: Nazi army. Yeah, he's just the cool guy. And he 1038 00:54:16,760 --> 00:54:19,200 Speaker 3: also like usually I do these episodes about like great 1039 00:54:19,239 --> 00:54:20,960 Speaker 3: men in history and they turn out to be like 1040 00:54:21,400 --> 00:54:23,040 Speaker 3: awful to the women in their lives. 1041 00:54:23,120 --> 00:54:26,279 Speaker 2: Right, yeah, total wife guy Yeah, great wife guys. 1042 00:54:26,719 --> 00:54:28,680 Speaker 3: Energy yeah he I. 1043 00:54:28,640 --> 00:54:29,560 Speaker 2: Mean not just energy. 1044 00:54:29,840 --> 00:54:33,600 Speaker 1: They were like ballroom wall champions. 1045 00:54:33,800 --> 00:54:38,600 Speaker 3: Yeah, and like included her in his plans and like, 1046 00:54:38,840 --> 00:54:40,319 Speaker 3: I mean I don't have like I haven't read her. 1047 00:54:40,600 --> 00:54:43,440 Speaker 3: I've read some quotes from her, right sure, but like 1048 00:54:43,800 --> 00:54:45,359 Speaker 3: compared to a lot of the people that I end 1049 00:54:45,440 --> 00:54:47,880 Speaker 3: up researching in history, where they're like so dedicated to 1050 00:54:47,920 --> 00:54:50,240 Speaker 3: the cause that they treat everyone in their lives, especially 1051 00:54:50,280 --> 00:54:51,680 Speaker 3: the women and who are close to them in their 1052 00:54:51,719 --> 00:54:54,360 Speaker 3: lives like terribly, this man is not an example of that. 1053 00:54:54,880 --> 00:54:55,600 Speaker 2: Yeah. 1054 00:54:55,640 --> 00:54:59,200 Speaker 1: But yeah, So they're out there, they're part of the community. 1055 00:54:59,560 --> 00:55:01,839 Speaker 1: They're the people to like get the paddles out and 1056 00:55:01,880 --> 00:55:05,000 Speaker 1: go clear like on the street. Like they're you know, 1057 00:55:05,360 --> 00:55:09,320 Speaker 1: they are like breaking all this new ground. A racist 1058 00:55:09,440 --> 00:55:14,000 Speaker 1: mayor comes in, pushes them out, starts trying to replace 1059 00:55:14,040 --> 00:55:17,320 Speaker 1: them with cops, like just stops like cuts their funding, 1060 00:55:17,400 --> 00:55:21,279 Speaker 1: keeps cutting their funding. It's like this again, just like 1061 00:55:21,480 --> 00:55:25,200 Speaker 1: a movie scene that is incredible that Hollywood is sleeping 1062 00:55:25,239 --> 00:55:27,920 Speaker 1: on it. During this period, Freedom House like gets their 1063 00:55:27,960 --> 00:55:31,880 Speaker 1: hands on a police scanner and start racing the police 1064 00:55:31,920 --> 00:55:35,160 Speaker 1: to get there to save people because the police, the 1065 00:55:35,200 --> 00:55:37,520 Speaker 1: police are taking their sweet ass times, so they're like 1066 00:55:37,680 --> 00:55:40,920 Speaker 1: listening to when there is a medical emergency and then 1067 00:55:40,960 --> 00:55:44,440 Speaker 1: like racing there to help people before the cops can 1068 00:55:44,480 --> 00:55:49,080 Speaker 1: show up. But just an amazing story of like, you know, 1069 00:55:49,600 --> 00:55:55,520 Speaker 1: people from the community, like the medical power to the people, 1070 00:55:55,960 --> 00:55:59,960 Speaker 1: like just all these you know, all these really cool 1071 00:56:00,160 --> 00:56:04,120 Speaker 1: ways that this community came together against all odds, and 1072 00:56:04,360 --> 00:56:07,480 Speaker 1: like the fact that that's not the story we tell. Instead, 1073 00:56:07,520 --> 00:56:11,560 Speaker 1: the story we tell is like fucking an entire genre's 1074 00:56:11,600 --> 00:56:15,399 Speaker 1: worth of Westerns, right, like fucking so frustrating. 1075 00:56:16,200 --> 00:56:18,640 Speaker 3: Yeah, I think, yeah, that's important connecting those two things. 1076 00:56:18,640 --> 00:56:19,319 Speaker 3: That was well done. 1077 00:56:19,880 --> 00:56:22,160 Speaker 2: Oh thanks, right, I think it's just up. 1078 00:56:22,239 --> 00:56:24,000 Speaker 5: Yeah, it's probably important to like even think of it 1079 00:56:24,040 --> 00:56:26,080 Speaker 5: in that context of just sort of like you know, 1080 00:56:26,200 --> 00:56:29,160 Speaker 5: being fed this these kinds of stories over and over again, 1081 00:56:29,239 --> 00:56:32,000 Speaker 5: and it's like, you know, to your point market, it's 1082 00:56:32,040 --> 00:56:35,520 Speaker 5: like you can almost manifest it through like the repetition 1083 00:56:35,760 --> 00:56:39,200 Speaker 5: of that kind of like story arc Whereas like we're now, 1084 00:56:39,239 --> 00:56:41,799 Speaker 5: I think a lot of people are feeling like we 1085 00:56:41,880 --> 00:56:44,960 Speaker 5: need to like transition to something different, something that feels 1086 00:56:44,960 --> 00:56:49,240 Speaker 5: more connected, something that feels more humane and actually treats 1087 00:56:49,280 --> 00:56:52,400 Speaker 5: people with dignity. And yeah, and all these stories have 1088 00:56:52,480 --> 00:56:55,520 Speaker 5: been like in a way buried or whether that's intentionally 1089 00:56:55,600 --> 00:56:57,600 Speaker 5: or because they don't think it sells tickets or whatever, 1090 00:56:58,120 --> 00:57:00,920 Speaker 5: you know, we're seeing it like that's actually our impulse 1091 00:57:01,000 --> 00:57:04,600 Speaker 5: is to just is to invent and iterate and do 1092 00:57:04,719 --> 00:57:07,920 Speaker 5: something that is actually for a communal benefit rather than like, 1093 00:57:08,280 --> 00:57:10,440 Speaker 5: here's a story of the guy who got so pissed 1094 00:57:10,480 --> 00:57:14,880 Speaker 5: off he beat up everyone in town and then races 1095 00:57:14,960 --> 00:57:15,480 Speaker 5: or whatever. 1096 00:57:19,640 --> 00:57:21,480 Speaker 2: That's so many movies. 1097 00:57:22,680 --> 00:57:28,760 Speaker 1: Catline fucking like John Wick, nobody beat up everybody in town. 1098 00:57:29,040 --> 00:57:32,840 Speaker 1: This guy so pissed, gets so pissed that you just 1099 00:57:32,880 --> 00:57:35,160 Speaker 1: like beat up everybody in town. 1100 00:57:37,080 --> 00:57:39,840 Speaker 5: Like all those Bowl films are like that too, Or 1101 00:57:39,880 --> 00:57:43,240 Speaker 5: it's just like Jesus Christ pissed off guy on a mission. 1102 00:57:44,200 --> 00:57:46,600 Speaker 3: Because every every American man is told that that's in 1103 00:57:46,680 --> 00:57:49,080 Speaker 3: his heart and he could do that if he had to. 1104 00:57:49,600 --> 00:57:52,560 Speaker 3: You're like, not every man can beat up every other man. 1105 00:57:52,720 --> 00:57:56,360 Speaker 3: That is clearly not true. That is not how mad 1106 00:57:56,400 --> 00:57:56,920 Speaker 3: it works. 1107 00:57:57,160 --> 00:57:58,040 Speaker 2: You know what I'm really. 1108 00:57:57,880 --> 00:58:01,520 Speaker 5: Good at going hell, yeah, help me. 1109 00:58:04,000 --> 00:58:06,880 Speaker 6: I think most men are because of patriarchy to be. 1110 00:58:06,800 --> 00:58:10,240 Speaker 5: Like and then someone fixed it for me, and then 1111 00:58:10,280 --> 00:58:12,080 Speaker 5: I told myself, I did it all myself. 1112 00:58:14,320 --> 00:58:18,920 Speaker 1: All right, that's gonna do it. For this week's weekly Zeitgeist, 1113 00:58:19,040 --> 00:58:22,520 Speaker 1: please like and review the show. If you like, the 1114 00:58:22,600 --> 00:58:27,880 Speaker 1: show means the world of Miles. He needs your validation, folks. 1115 00:58:28,480 --> 00:58:31,560 Speaker 1: I hope you're having a great weekend and I will 1116 00:58:31,560 --> 00:58:32,680 Speaker 1: talk to him Monday. 1117 00:58:32,680 --> 00:59:10,520 Speaker 2: By the Bands,