1 00:00:00,200 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:07,880 Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments 3 00:00:08,160 --> 00:00:14,880 Speaker 1: from this week, all edited together into one NonStop infotainment 4 00:00:16,079 --> 00:00:22,440 Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is 5 00:00:22,720 --> 00:00:26,639 Speaker 1: the Weekly Zeitgeist. Weird thrilled to be joined by a 6 00:00:26,720 --> 00:00:30,360 Speaker 1: creative and political activist who has gone viral a number 7 00:00:30,400 --> 00:00:33,200 Speaker 1: of times, including creating the video in which Ellen DeGeneres 8 00:00:33,360 --> 00:00:38,159 Speaker 1: is non apology monologue about being friends with George W. 9 00:00:38,320 --> 00:00:42,479 Speaker 1: Bush was juxtaposed with footage of his war crimes, and 10 00:00:42,640 --> 00:00:45,920 Speaker 1: Ellen was not thrilled tried to get it taken down. 11 00:00:46,200 --> 00:00:48,920 Speaker 1: Among many other things, that's just the one that you 12 00:00:48,920 --> 00:00:51,720 Speaker 1: you might know him from. Please welcome the brilliant and 13 00:00:51,920 --> 00:00:58,720 Speaker 1: talented Rafael Schmoon off wrap in the building. I'm still 14 00:00:58,760 --> 00:01:01,960 Speaker 1: recovering a little bit from I think you shouted something 15 00:01:01,960 --> 00:01:05,639 Speaker 1: in German to this Jewish person. Yeah, I shouted away 16 00:01:05,640 --> 00:01:11,319 Speaker 1: from the mic though muff. But my ancestors put their 17 00:01:11,319 --> 00:01:15,200 Speaker 1: hands on my shoulders and steady, steady, steady. What about 18 00:01:15,200 --> 00:01:18,280 Speaker 1: my Howard Dean scream? Did that take you back? How? 19 00:01:18,680 --> 00:01:21,280 Speaker 1: That one just always reminds me of how little it 20 00:01:21,360 --> 00:01:25,200 Speaker 1: took to sink someone and yeah, nothing can sink anyone anymore. 21 00:01:25,280 --> 00:01:27,680 Speaker 1: I know. That's I honestly, so why I love that clip. 22 00:01:27,720 --> 00:01:30,120 Speaker 1: It's like the dude literally is just like saying he 23 00:01:30,280 --> 00:01:36,360 Speaker 1: was so stoked on my ideas. Have we gotten the 24 00:01:36,440 --> 00:01:42,399 Speaker 1: deep dive like journalistic deep dive documentary about the Dean Scream, 25 00:01:42,480 --> 00:01:45,360 Speaker 1: because I think it's it's both a testament to how 26 00:01:45,400 --> 00:01:48,560 Speaker 1: little it could take to sink someone and also how 27 00:01:48,600 --> 00:01:51,400 Speaker 1: little it can take to sink someone when the mainstream 28 00:01:51,400 --> 00:01:55,960 Speaker 1: media is cooperating and don't like their policies. There has 29 00:01:56,040 --> 00:01:57,920 Speaker 1: to be one out there, and the Dean Scream is 30 00:01:57,920 --> 00:02:00,160 Speaker 1: the is the exact name that it should be the 31 00:02:00,400 --> 00:02:03,120 Speaker 1: right you know, some people know it, know it as 32 00:02:03,200 --> 00:02:09,959 Speaker 1: the I Have a scream. It's just good meme and 33 00:02:10,800 --> 00:02:21,800 Speaker 1: this is bullshit. The Wikipedia pas, I know, like the 34 00:02:22,000 --> 00:02:27,720 Speaker 1: documentary about where they look at the audio and they 35 00:02:27,720 --> 00:02:30,880 Speaker 1: say that he actually didn't scream that loud and the 36 00:02:31,840 --> 00:02:33,920 Speaker 1: that might have been an episode of this American Life 37 00:02:33,960 --> 00:02:36,280 Speaker 1: or something that I'm remembering. But I want to see 38 00:02:36,280 --> 00:02:42,800 Speaker 1: the one about the just general agreement behind closed doors 39 00:02:42,840 --> 00:02:45,520 Speaker 1: by the mainstream media to be like, let's let's kill 40 00:02:45,600 --> 00:02:47,160 Speaker 1: him with this? Should we kill him with this. Yeah, 41 00:02:47,240 --> 00:02:49,839 Speaker 1: let's let's let's get rid of this, because he anticipated 42 00:02:49,960 --> 00:02:55,559 Speaker 1: so many things about modern politics and moving towards progressive 43 00:02:55,680 --> 00:03:02,120 Speaker 1: ideals and also online fundraising. But I'm sure there cream dude, 44 00:03:02,120 --> 00:03:06,560 Speaker 1: what a nerd huh? It was when when the mainstream 45 00:03:06,560 --> 00:03:09,919 Speaker 1: media was an internet an approximation of what the Internet 46 00:03:09,960 --> 00:03:13,680 Speaker 1: would become. And also just bullies in a lunch room. 47 00:03:14,360 --> 00:03:17,040 Speaker 1: They keep doing and they keep blaming. Now they say 48 00:03:17,040 --> 00:03:19,560 Speaker 1: it's Twitter, the Twitter mom that does it. But they 49 00:03:19,600 --> 00:03:23,040 Speaker 1: did it with the caucus where they had this helmet 50 00:03:23,080 --> 00:03:24,720 Speaker 1: on and he was in a tank and he's a 51 00:03:24,720 --> 00:03:27,760 Speaker 1: man of you know, normal stature or smaller stature, and 52 00:03:28,160 --> 00:03:31,160 Speaker 1: they used that to to to ridicule him. And then 53 00:03:31,520 --> 00:03:35,080 Speaker 1: well then they did it. Yeah. Carry was so they 54 00:03:35,720 --> 00:03:39,560 Speaker 1: killed Dean with the scream to make room for John Carry, 55 00:03:39,880 --> 00:03:43,720 Speaker 1: who they then killed with the flip flap. But John 56 00:03:43,800 --> 00:03:45,480 Speaker 1: Carey did it to himself in a lot of ways. 57 00:03:45,560 --> 00:03:48,400 Speaker 1: Maybe they made room for Dean or made room four 58 00:03:48,480 --> 00:03:52,120 Speaker 1: Carry because they knew we're going to rinse this fool. 59 00:03:52,720 --> 00:03:54,400 Speaker 1: They also have a picture of him and like all 60 00:03:54,440 --> 00:03:58,720 Speaker 1: this ppe going through a tube like an HVAC two circulated. 61 00:03:58,760 --> 00:04:01,000 Speaker 1: It was just wild. But yeah, yeah, get a lot 62 00:04:01,120 --> 00:04:05,040 Speaker 1: to himself. Yeah, and now they can't do shit about 63 00:04:05,080 --> 00:04:10,320 Speaker 1: Trump unfortunately. Probably those two are probably related. Them just 64 00:04:10,400 --> 00:04:13,560 Speaker 1: doing ship at a whim based on who they thought 65 00:04:14,080 --> 00:04:17,159 Speaker 1: had the best odds in the horse race for the 66 00:04:17,200 --> 00:04:22,440 Speaker 1: Democratic combination, and people losing faith in their opinion of things. 67 00:04:22,800 --> 00:04:27,239 Speaker 1: Might might be might be related. What is something from 68 00:04:27,400 --> 00:04:31,480 Speaker 1: your search history that is revealing about who you are 69 00:04:31,800 --> 00:04:34,880 Speaker 1: or what you're up to? Well, when my starch history 70 00:04:35,000 --> 00:04:37,719 Speaker 1: right now, I think it's it's foolishness. I've been arguing 71 00:04:37,720 --> 00:04:39,440 Speaker 1: with my friends that you are as black from way 72 00:04:39,440 --> 00:04:42,800 Speaker 1: to poo, and so that is That's what I'm on 73 00:04:42,960 --> 00:04:49,400 Speaker 1: right now. Characters are actually black. Wait I like it. Wait, okay, 74 00:04:49,440 --> 00:04:51,680 Speaker 1: now that I'm thinking about this, does he live in 75 00:04:51,680 --> 00:04:54,720 Speaker 1: the forest with them? No? No, he does not live 76 00:04:54,720 --> 00:04:56,960 Speaker 1: in a hundred acre woods. I'm glad. I'm glad you asked. 77 00:04:57,240 --> 00:05:01,400 Speaker 1: He lives on the outskirts by him else. Yes, I 78 00:05:01,400 --> 00:05:02,919 Speaker 1: don't know if you've noticed. And you just look at 79 00:05:02,960 --> 00:05:06,200 Speaker 1: the ship infrastructure of yours, A little snoopy house versus 80 00:05:06,200 --> 00:05:09,039 Speaker 1: everybody's full home and streak. They got a lad right, 81 00:05:09,279 --> 00:05:11,400 Speaker 1: everybody else lives in a hundred acre woods. They don't 82 00:05:11,400 --> 00:05:13,240 Speaker 1: even see or until the end of the episode, they 83 00:05:13,279 --> 00:05:16,359 Speaker 1: spend all day crawlicking amongst the hundred acre woods. And 84 00:05:16,400 --> 00:05:18,840 Speaker 1: after they've done doing everything they do with eating potty 85 00:05:18,880 --> 00:05:23,480 Speaker 1: and going by rabbit, and they're like, who you's got 86 00:05:23,480 --> 00:05:26,520 Speaker 1: off my shift on the sanitation department to talking about 87 00:05:26,640 --> 00:05:30,640 Speaker 1: listening like them all day. They're like, he's depressed, but 88 00:05:30,680 --> 00:05:35,760 Speaker 1: no one asked why. Nobody asked like or you can't 89 00:05:35,800 --> 00:05:38,760 Speaker 1: really angry, really easy people listen. I knew Hope was 90 00:05:38,839 --> 00:05:40,320 Speaker 1: up as a child. Me and my ground me Peep 91 00:05:40,360 --> 00:05:42,599 Speaker 1: immediately was black. I remember they came to him at 92 00:05:42,600 --> 00:05:44,880 Speaker 1: the end of the episode be like, hold on, you know, 93 00:05:45,000 --> 00:05:47,560 Speaker 1: it's it's the it's this the Adventures of winning to 94 00:05:47,560 --> 00:05:51,119 Speaker 1: pull with everybody else do adventures, but not the yard. Yeah. 95 00:05:51,279 --> 00:05:53,840 Speaker 1: Immediately wifes like, wife, like, that's why everybody lives in 96 00:05:53,880 --> 00:05:56,800 Speaker 1: a hundred acle woods and he lives there. Where does 97 00:05:56,839 --> 00:06:00,839 Speaker 1: Christopher Robin live? Ah? Right in the just with them? 98 00:06:01,040 --> 00:06:03,520 Speaker 1: You know it's not right right? Oh, And he's just 99 00:06:03,600 --> 00:06:06,120 Speaker 1: kind of he's like, Yo, this is my backyard. Yeah, yeah, 100 00:06:06,160 --> 00:06:08,680 Speaker 1: exactly why Christopher Robin and all the rest of them 101 00:06:08,720 --> 00:06:12,480 Speaker 1: living the same community. M there's that new horror movie, 102 00:06:12,480 --> 00:06:16,880 Speaker 1: Winnie the Pool blood, Yeah, you were dead already at 103 00:06:18,880 --> 00:06:24,200 Speaker 1: my own in my side. And then apparently they like 104 00:06:24,360 --> 00:06:28,320 Speaker 1: the implied back stories that Winnie the Pool and Piglet 105 00:06:28,520 --> 00:06:31,080 Speaker 1: ate him. Is that is that? Did I make that up? 106 00:06:32,400 --> 00:06:34,480 Speaker 1: They marked him in some way? All I know is 107 00:06:34,920 --> 00:06:38,560 Speaker 1: they're sorry. Friend. Horror movie black persons, guys, first, we 108 00:06:38,640 --> 00:06:41,040 Speaker 1: need to poo. Horror movie starts up with you're already 109 00:06:41,120 --> 00:06:45,320 Speaker 1: gone saying or it's or it's like the Magical Donkey Man, 110 00:06:45,600 --> 00:06:50,200 Speaker 1: you're to like, tell us of your ways. They got 111 00:06:50,240 --> 00:06:55,000 Speaker 1: my man's out of there because he's a brother, all right, 112 00:06:55,040 --> 00:07:02,080 Speaker 1: shout out your what you guys take his overrated Google. 113 00:07:04,400 --> 00:07:07,559 Speaker 1: This is my And I'm not just saying this because 114 00:07:07,600 --> 00:07:11,360 Speaker 1: I didn't get the answer about deb Chubb, but in general, 115 00:07:11,720 --> 00:07:13,920 Speaker 1: and you know, I think this has been reported on. 116 00:07:14,200 --> 00:07:17,720 Speaker 1: Google is just less and less usable. Like you, It 117 00:07:17,920 --> 00:07:21,080 Speaker 1: just does not show you the information you're looking for 118 00:07:21,160 --> 00:07:23,920 Speaker 1: in the way that it used to, because it's algorithmically 119 00:07:23,960 --> 00:07:27,480 Speaker 1: trying to show you some other ship. And it's so 120 00:07:27,600 --> 00:07:31,120 Speaker 1: frustrating to me. I really, have you tried Duck Duck go, 121 00:07:31,480 --> 00:07:33,920 Speaker 1: That's what I've been using lately. It doesn't It doesn't 122 00:07:33,920 --> 00:07:36,360 Speaker 1: like track you and Ducdugo also has does not have 123 00:07:36,400 --> 00:07:41,920 Speaker 1: answers about deb chub, but it is less overrated than Google. Yeah, 124 00:07:42,000 --> 00:07:46,080 Speaker 1: I would ask Jeeves. Honestly, Jeeves happen to him. Here's 125 00:07:46,080 --> 00:07:48,920 Speaker 1: the time I asked Jeeves that I think I have 126 00:07:49,040 --> 00:07:55,560 Speaker 1: probably bored Lisa with this already, but I have been 127 00:07:55,800 --> 00:07:59,040 Speaker 1: reading a bunch of the P. G. Wodehouse books. Could 128 00:07:59,160 --> 00:08:02,720 Speaker 1: wood House who was the creator of Jeeves the Butler, 129 00:08:03,640 --> 00:08:08,000 Speaker 1: and like, there are humorous old tiny books from like, 130 00:08:08,240 --> 00:08:11,640 Speaker 1: you know, the twenties about this dumb rich guy and 131 00:08:11,800 --> 00:08:15,559 Speaker 1: his butler, and every one of those stories is about 132 00:08:15,640 --> 00:08:18,400 Speaker 1: him asking Jeeves for help and Jeeves going in a 133 00:08:18,520 --> 00:08:23,120 Speaker 1: very circuitous, sort of counterintuitive method to get it and 134 00:08:23,120 --> 00:08:27,320 Speaker 1: it all backfires. And I don't understand why we're presenting 135 00:08:27,360 --> 00:08:30,520 Speaker 1: that character as a reliable problem solver, just like naming 136 00:08:30,560 --> 00:08:35,400 Speaker 1: your glasses after Mr Magoo. Yes, so he's like the original, 137 00:08:35,480 --> 00:08:40,839 Speaker 1: like Nathan Fielder kind of problems like okay, the plan 138 00:08:41,200 --> 00:08:44,880 Speaker 1: make this frozen yogurt tastes like shit or whatever. Well, 139 00:08:44,880 --> 00:08:47,800 Speaker 1: he's also he's just trying to ignore his rich boss 140 00:08:47,840 --> 00:08:51,280 Speaker 1: and his rich boss's dumb ideas. Okay, it was a 141 00:08:51,280 --> 00:08:56,960 Speaker 1: working class hero kind of yeah, but he's weirdly. I mean, 142 00:08:58,800 --> 00:09:02,040 Speaker 1: I recommend reading the Boat. They're really funny. But uh, 143 00:09:02,640 --> 00:09:05,080 Speaker 1: it always strikes me as odd that we're asking Jeeves 144 00:09:05,080 --> 00:09:08,080 Speaker 1: to get us something directly, right, what are the books called? Like, 145 00:09:08,120 --> 00:09:11,880 Speaker 1: what's the most famous Wodehouse? Oh? My gosh, I don't 146 00:09:11,920 --> 00:09:14,600 Speaker 1: know what the most famous one? He wrote, like like 147 00:09:14,760 --> 00:09:19,520 Speaker 1: hundreds of them. I can try to. I'm sorry, this 148 00:09:19,600 --> 00:09:24,280 Speaker 1: is so boring. I'm like, I'm looking in my Yeah, 149 00:09:24,440 --> 00:09:29,160 Speaker 1: that's a good one, right ho. Jeeves is a really 150 00:09:29,160 --> 00:09:35,040 Speaker 1: good one, right ho. Jeeves Ring for Jeeves is pretty good. 151 00:09:36,040 --> 00:09:38,840 Speaker 1: It's really hard to tell them apart because there's just 152 00:09:39,080 --> 00:09:41,560 Speaker 1: so many of them, and just make up some titles 153 00:09:41,640 --> 00:09:48,760 Speaker 1: Jeeves Special Day, Big Outing for Jeeves, an Evening with Jeeves. 154 00:09:49,600 --> 00:09:52,000 Speaker 1: What's something Emily that you've like, you've noticed you like, 155 00:09:52,040 --> 00:09:54,120 Speaker 1: I used to be able to find this on Google 156 00:09:54,160 --> 00:09:56,720 Speaker 1: and now you're like, what the funk happened? That's a 157 00:09:57,280 --> 00:09:59,920 Speaker 1: I should have come prepared with something like that. That's 158 00:10:00,240 --> 00:10:03,440 Speaker 1: from aside from the fact that like looking up deb 159 00:10:03,520 --> 00:10:07,520 Speaker 1: Chubb bird doesn't reveal anything about her talking about birds 160 00:10:07,559 --> 00:10:12,280 Speaker 1: not being real. Yeah, sometimes it'll just be something where 161 00:10:12,320 --> 00:10:15,760 Speaker 1: you're like Okay, what's the biggest country by population and 162 00:10:15,840 --> 00:10:19,120 Speaker 1: it'll just like tell you the biggest country by area 163 00:10:20,000 --> 00:10:23,760 Speaker 1: right away, where like it just has started ignoring search terms. 164 00:10:23,760 --> 00:10:26,960 Speaker 1: I feel like that's something that is frustrating to me. 165 00:10:27,520 --> 00:10:31,640 Speaker 1: It's like, I think you mean, are right, yeah, but 166 00:10:31,679 --> 00:10:34,920 Speaker 1: it won't even say by area. It'll just like put 167 00:10:35,160 --> 00:10:38,040 Speaker 1: up a picture of what they think the answer is 168 00:10:38,120 --> 00:10:41,320 Speaker 1: without the information that disqualifies it. I think one of 169 00:10:41,320 --> 00:10:45,160 Speaker 1: the most frustrating things is like you'll look up something 170 00:10:45,240 --> 00:10:48,839 Speaker 1: like can my dog eat blah blah blah, and it'll 171 00:10:48,880 --> 00:10:51,600 Speaker 1: be like ten foods your dogs should not eat, and 172 00:10:51,640 --> 00:10:53,959 Speaker 1: the food that you listed is under the actually it's 173 00:10:54,000 --> 00:10:57,040 Speaker 1: okay section, But then it tells you that they can't 174 00:10:57,040 --> 00:10:59,040 Speaker 1: eat it, and so I just I'm constantly thinking of 175 00:10:59,120 --> 00:11:05,959 Speaker 1: poisoned my dog. Yeah. Yeah, Google's bad just in general evil. 176 00:11:06,280 --> 00:11:09,760 Speaker 1: I feel like ddt go is still finding its sea legs, 177 00:11:09,800 --> 00:11:14,120 Speaker 1: but it's definitely less intrusive and less likely to track you. Yeah, 178 00:11:14,640 --> 00:11:19,160 Speaker 1: what was something you think is underrated? Underrated? Oh? Yes? 179 00:11:19,280 --> 00:11:22,840 Speaker 1: So uh is doing just like the whack thing when 180 00:11:22,840 --> 00:11:27,040 Speaker 1: you're visiting somewhere. I have been in New York about 181 00:11:27,120 --> 00:11:30,640 Speaker 1: like I don't know ten hours now, No fourteen hours now, 182 00:11:31,000 --> 00:11:36,920 Speaker 1: no ten hours now. Um, And all all I've done 183 00:11:37,080 --> 00:11:40,160 Speaker 1: is like I just went and got a like egg 184 00:11:40,200 --> 00:11:43,600 Speaker 1: and cheese on a roll and like blocked around and 185 00:11:43,720 --> 00:11:47,640 Speaker 1: got a slice of just cheese pizza and ate it 186 00:11:47,840 --> 00:11:50,000 Speaker 1: just like a like a just like a real du 187 00:11:50,080 --> 00:11:53,080 Speaker 1: fist tourist. And I know it's like not cool or 188 00:11:53,600 --> 00:11:56,480 Speaker 1: like interesting, but I'm like, I don't care. I guess 189 00:11:56,480 --> 00:11:58,000 Speaker 1: that helps it. I used to live here, so I'm like, 190 00:11:58,320 --> 00:12:00,320 Speaker 1: what am I gonna do? Well, you know what you 191 00:12:00,360 --> 00:12:03,480 Speaker 1: want to. I don't think that's I mean, those things 192 00:12:03,520 --> 00:12:06,360 Speaker 1: are good, and they're good in New York, so I 193 00:12:06,360 --> 00:12:08,439 Speaker 1: don't think it's like stupid. It's like it would be 194 00:12:08,559 --> 00:12:10,880 Speaker 1: dumb if you went to Smorrow right and did that 195 00:12:10,960 --> 00:12:12,760 Speaker 1: whole dumb bit of a thing that I see too 196 00:12:12,760 --> 00:12:14,360 Speaker 1: many people do and they think it's funny and they're like, 197 00:12:14,520 --> 00:12:16,720 Speaker 1: I went to Smorrow in New York, but like that 198 00:12:16,760 --> 00:12:19,840 Speaker 1: ship is done, but get your bagel, get your fucking 199 00:12:20,120 --> 00:12:22,280 Speaker 1: you know. I don't care. I just like doing the 200 00:12:22,960 --> 00:12:26,319 Speaker 1: thing I like when I go on vacation or I 201 00:12:26,360 --> 00:12:28,880 Speaker 1: guess this is technically work but kind of vacation, but 202 00:12:29,080 --> 00:12:33,840 Speaker 1: definitely more vacation for tax reasons work. I honestly kind 203 00:12:33,880 --> 00:12:42,280 Speaker 1: of um shout out to the agents. Yeah, I just 204 00:12:42,400 --> 00:12:45,200 Speaker 1: like anytime I visit somewhere, I just like acting like 205 00:12:46,320 --> 00:12:49,200 Speaker 1: what I would do if I just had a pain 206 00:12:49,320 --> 00:12:52,560 Speaker 1: in the asp but not terribly taxing job in that city. 207 00:12:53,120 --> 00:12:55,600 Speaker 1: So just like go eat at the boringest place and 208 00:12:55,679 --> 00:12:57,400 Speaker 1: like I got out of four and it's gonna go 209 00:12:57,400 --> 00:13:00,199 Speaker 1: to a happy hour sowhere close to the hotel where 210 00:13:00,280 --> 00:13:03,440 Speaker 1: from stag Like I don't care. I like, I like 211 00:13:03,520 --> 00:13:06,120 Speaker 1: living as if I have given up, but in a 212 00:13:06,160 --> 00:13:09,000 Speaker 1: different city. Right, Well, what is it? What is the version? 213 00:13:09,080 --> 00:13:11,720 Speaker 1: What's the antithesis of what you're talking about? Look like, 214 00:13:12,640 --> 00:13:15,880 Speaker 1: I think this is part definitely like partially like the 215 00:13:15,920 --> 00:13:18,080 Speaker 1: people I know in Los Angeles. But it's like we 216 00:13:18,320 --> 00:13:21,480 Speaker 1: have reservations at the best, the cool place every every 217 00:13:21,640 --> 00:13:23,720 Speaker 1: night and we're doing this and like, oh there's a 218 00:13:23,720 --> 00:13:26,319 Speaker 1: party here, and like all my friend from this is 219 00:13:26,360 --> 00:13:29,920 Speaker 1: doing this right, and I'm just like I guess I will. 220 00:13:30,000 --> 00:13:32,840 Speaker 1: And do not get me wrong, I'm here for another 221 00:13:32,880 --> 00:13:35,640 Speaker 1: two days. If anyone's got anything going on, hit me up. 222 00:13:35,760 --> 00:13:39,800 Speaker 1: But I for real, I'm just like I don't know. 223 00:13:39,880 --> 00:13:41,800 Speaker 1: I never I never care enough to join myself. I 224 00:13:41,840 --> 00:13:43,800 Speaker 1: just like doing the boring thing but in a different 225 00:13:43,840 --> 00:13:47,040 Speaker 1: place right right for sure, and you don't feel the sense. 226 00:13:47,080 --> 00:13:49,120 Speaker 1: I think those people really get the pomo and you're like, 227 00:13:49,160 --> 00:13:50,800 Speaker 1: I can't believe it. I was in New York for 228 00:13:50,840 --> 00:13:52,840 Speaker 1: thirty six hours and I didn't go to the top 229 00:13:52,880 --> 00:13:57,040 Speaker 1: seven restaurants. Yeah, but I mean part of it is 230 00:13:57,080 --> 00:14:00,120 Speaker 1: like having lived maybe in New York. It's just like 231 00:14:01,000 --> 00:14:05,040 Speaker 1: especially this cruel ast city, like the top seven restaurant 232 00:14:05,120 --> 00:14:07,600 Speaker 1: changes every month, so like what do you what are 233 00:14:07,640 --> 00:14:12,480 Speaker 1: you experiencing? Like yeah, yeah, yeah, it's all ephemeral. Yeah 234 00:14:12,880 --> 00:14:17,079 Speaker 1: is that more interchangeable with like l A's top seven restaurants? 235 00:14:17,120 --> 00:14:20,360 Speaker 1: Then would be like just a local bar and an 236 00:14:20,360 --> 00:14:24,240 Speaker 1: egg and cheese on a roll, you know, yeah, I 237 00:14:24,400 --> 00:14:26,600 Speaker 1: know that's what I prefer. Yeah, yeah, I like that 238 00:14:26,640 --> 00:14:30,280 Speaker 1: the l A version, Like yeah, yeah, just like doing 239 00:14:30,320 --> 00:14:32,640 Speaker 1: the thing that actually I would do as opposed to 240 00:14:32,720 --> 00:14:35,760 Speaker 1: Like maybe that's it if I lived like I live 241 00:14:35,840 --> 00:14:38,080 Speaker 1: in l A. And I'm never like, oh I gotta 242 00:14:38,160 --> 00:14:39,920 Speaker 1: what I gotta do is make sure to hit up 243 00:14:39,960 --> 00:14:42,040 Speaker 1: blah blah blah. Yeah, but that's just a personality thing 244 00:14:42,040 --> 00:14:43,920 Speaker 1: because there are plenty of people who are, and you 245 00:14:43,920 --> 00:14:46,760 Speaker 1: know what, good for them? Good for them. I like 246 00:14:46,840 --> 00:14:48,560 Speaker 1: to go down to the docks and get into a 247 00:14:48,600 --> 00:14:53,000 Speaker 1: fist fight. Yeah, you know, at whatever place. I am 248 00:14:53,080 --> 00:14:58,920 Speaker 1: just like short elbows and a dockactly, that's right. I 249 00:14:59,040 --> 00:15:01,680 Speaker 1: like to go it just around Brooklyn and yell at 250 00:15:01,680 --> 00:15:05,080 Speaker 1: people for playing their ethnic music too loud, like like 251 00:15:05,120 --> 00:15:08,600 Speaker 1: a true New York true New Yorker. That is so loud. 252 00:15:08,720 --> 00:15:11,160 Speaker 1: I'm sorry, that is so loud. What is going on? 253 00:15:11,240 --> 00:15:14,560 Speaker 1: Gentrified even harder than the last time I was here? 254 00:15:14,680 --> 00:15:18,000 Speaker 1: It is, and I could I'm not joking. I saw 255 00:15:18,080 --> 00:15:21,520 Speaker 1: a woman chastising a dude for playing like dembo like 256 00:15:21,560 --> 00:15:25,440 Speaker 1: out of his fucking car, and she was like, I'm 257 00:15:25,480 --> 00:15:28,480 Speaker 1: I have a baby in a stroller, like you're you're 258 00:15:28,520 --> 00:15:34,520 Speaker 1: pushing your stroller towards this fucking also fun your baby, lady, 259 00:15:34,960 --> 00:15:40,880 Speaker 1: also your baby. Yeah. I I was at a bar 260 00:15:41,080 --> 00:15:45,120 Speaker 1: yesterday where every white person or every white guy was 261 00:15:45,200 --> 00:15:47,960 Speaker 1: dressed like Harry Potter and every not white guy was 262 00:15:48,040 --> 00:15:57,440 Speaker 1: dressed like Merrow. Gentrification at its finest. Oh no, it 263 00:15:57,520 --> 00:16:01,480 Speaker 1: was really like, oh the line. Everyone seemed to be 264 00:16:01,520 --> 00:16:03,280 Speaker 1: getting along, but you know what do I know? I've 265 00:16:03,280 --> 00:16:07,440 Speaker 1: been outside, right, all right, let's take a quick break 266 00:16:07,680 --> 00:16:20,720 Speaker 1: and we'll be right back. And we're back, and school 267 00:16:20,880 --> 00:16:27,440 Speaker 1: just got a lot easier, would be. Yeah, look, so 268 00:16:27,520 --> 00:16:30,120 Speaker 1: there's a new AI that helps write essays. And I 269 00:16:30,160 --> 00:16:32,440 Speaker 1: just want to say, look, when I were a boy, 270 00:16:33,000 --> 00:16:35,560 Speaker 1: you know, I spent a lot of time trying to 271 00:16:35,640 --> 00:16:37,280 Speaker 1: not do a lot of school work so I could 272 00:16:37,280 --> 00:16:39,960 Speaker 1: just be outside having fun and fucking around. So that 273 00:16:40,000 --> 00:16:42,840 Speaker 1: would manifest into me being like, what's this test? Oh 274 00:16:42,920 --> 00:16:45,160 Speaker 1: that teachers old? I know how to fucking cheat on 275 00:16:45,200 --> 00:16:47,880 Speaker 1: those tests. I'll buy all the fucking old tests from 276 00:16:47,920 --> 00:16:51,040 Speaker 1: the people two classes above me who saved everything. And 277 00:16:51,040 --> 00:16:52,920 Speaker 1: it was like, this is like a commodity of my 278 00:16:52,960 --> 00:16:54,920 Speaker 1: high school. They're like, yo, you got his tests and 279 00:16:55,000 --> 00:16:56,720 Speaker 1: somebody would have him each year and you could be like, 280 00:16:56,760 --> 00:16:59,080 Speaker 1: I'm sorry, help me, this is right here. If this 281 00:16:59,160 --> 00:17:00,640 Speaker 1: is this is it. This is the whole year you 282 00:17:00,640 --> 00:17:02,520 Speaker 1: don't have to do ship. So anyway, back then it 283 00:17:02,560 --> 00:17:05,600 Speaker 1: was like old scantrons or like you could see an 284 00:17:05,600 --> 00:17:07,919 Speaker 1: old quiz to get a letters up, like as a 285 00:17:07,960 --> 00:17:11,960 Speaker 1: studying guide. But now you know that things were very 286 00:17:12,000 --> 00:17:14,760 Speaker 1: low fi back then. But now because of all of 287 00:17:14,840 --> 00:17:19,040 Speaker 1: this fucking technology, man we are now looking at students 288 00:17:19,080 --> 00:17:23,080 Speaker 1: being able to write whole fucking essays by sending like 289 00:17:23,119 --> 00:17:26,400 Speaker 1: by feeding this AI just by giving it a sentence 290 00:17:26,480 --> 00:17:30,480 Speaker 1: or two. And these programs allow students to create entirely 291 00:17:30,600 --> 00:17:34,119 Speaker 1: new fucking essays that can't like traditionally you could be 292 00:17:34,160 --> 00:17:36,680 Speaker 1: like you feed it through a plagiarism detection service or 293 00:17:36,720 --> 00:17:39,639 Speaker 1: whatever software and it would try and find some similarities 294 00:17:39,640 --> 00:17:41,560 Speaker 1: and be like, ah, this is this other thing that's 295 00:17:41,560 --> 00:17:44,080 Speaker 1: on the internet. With this, because it's wholly new work, 296 00:17:44,440 --> 00:17:47,439 Speaker 1: it completely can sidestep a lot of those things that 297 00:17:47,480 --> 00:17:51,760 Speaker 1: are in the like plagiarism detection software, and it's pretty sophisticated. 298 00:17:52,240 --> 00:17:55,479 Speaker 1: It's taking your style, like your writing style and the 299 00:17:55,520 --> 00:17:58,880 Speaker 1: information you've provided, is it using going out in research. 300 00:17:59,440 --> 00:18:01,560 Speaker 1: I even did a thing where I put in you 301 00:18:01,560 --> 00:18:03,800 Speaker 1: know how you see the doc you know my writing style, 302 00:18:04,119 --> 00:18:07,560 Speaker 1: Like it's very conversational. I I all caps shipped out 303 00:18:07,600 --> 00:18:10,280 Speaker 1: of nowhere for like emphasis, just like in my own head. 304 00:18:10,640 --> 00:18:12,800 Speaker 1: And I put that in there and it kind of 305 00:18:12,840 --> 00:18:16,000 Speaker 1: gave me back like a flippant story about Donald Trump 306 00:18:16,040 --> 00:18:18,879 Speaker 1: and his legal team, like not giving a funk about 307 00:18:18,880 --> 00:18:21,920 Speaker 1: the legal process. It wasn't like it didn't it didn't 308 00:18:21,920 --> 00:18:25,000 Speaker 1: have like swag, but you could tell it was trying 309 00:18:25,040 --> 00:18:27,520 Speaker 1: to do something. So in that sense, I'm like, Okay, 310 00:18:27,560 --> 00:18:29,480 Speaker 1: if you're very if you're a very creative writer, your 311 00:18:29,600 --> 00:18:32,480 Speaker 1: your ship is still safe. Um, but I just want 312 00:18:32,480 --> 00:18:34,200 Speaker 1: to show you. So there is this article in Jacobin 313 00:18:34,480 --> 00:18:37,600 Speaker 1: about how Trader Joe's is also starting the union bus 314 00:18:37,720 --> 00:18:39,920 Speaker 1: right now because they are they're fucking you know, they're 315 00:18:39,920 --> 00:18:42,280 Speaker 1: looking at Starbucks and they're like, alright, homies, we know 316 00:18:42,480 --> 00:18:46,439 Speaker 1: we know the play right here getting the unions. So 317 00:18:47,000 --> 00:18:49,320 Speaker 1: this is the This is the first two sentences from 318 00:18:49,320 --> 00:18:53,080 Speaker 1: this Jacobine article quote Trader Joe's workers in Minneapolis when 319 00:18:53,080 --> 00:18:55,720 Speaker 1: their union in a landslide vote August twelve, making there's 320 00:18:55,760 --> 00:18:58,399 Speaker 1: the second store to go with the new independent Trader 321 00:18:58,480 --> 00:19:01,160 Speaker 1: Joe's United. The win ray is the question of whether 322 00:19:01,200 --> 00:19:05,200 Speaker 1: the grocer, with its five locations and progressive image, could 323 00:19:05,200 --> 00:19:08,720 Speaker 1: be the next Starbucks. So I just put that into 324 00:19:08,800 --> 00:19:12,159 Speaker 1: the fucking machine. It gave me back two more paragraphs, 325 00:19:12,160 --> 00:19:13,960 Speaker 1: but I'm just gonna read you the first paragraph and 326 00:19:13,960 --> 00:19:16,359 Speaker 1: a half. So this is how It's wants to continue 327 00:19:16,359 --> 00:19:19,359 Speaker 1: what we just fed it, and that's no small feet. 328 00:19:19,760 --> 00:19:22,840 Speaker 1: Last year, Starbucks Barista's notched a huge victory when the 329 00:19:22,840 --> 00:19:25,479 Speaker 1: coffee chain agreed to pay higher wages and give workers 330 00:19:25,480 --> 00:19:28,840 Speaker 1: a say over the chain social media policies. But unlike Starbucks, 331 00:19:28,880 --> 00:19:31,560 Speaker 1: which is a global chain with thousands of locations, Trader 332 00:19:31,640 --> 00:19:34,679 Speaker 1: Joe's only has about fiftent of the grocery market, reports 333 00:19:34,680 --> 00:19:38,040 Speaker 1: the Los Angeles Times. Standalone non unionized shops are actually 334 00:19:38,040 --> 00:19:40,520 Speaker 1: more common with the grocer, which has opened about fifty 335 00:19:40,560 --> 00:19:43,200 Speaker 1: shops and cities over the last year. That's fucking AI 336 00:19:43,280 --> 00:19:48,399 Speaker 1: that just kept going and granted analysis that stuff is 337 00:19:48,400 --> 00:19:50,600 Speaker 1: all true. They aren't just making that up. They're like 338 00:19:50,640 --> 00:19:53,280 Speaker 1: pulling that off the Internet. What's what's the in? Pull 339 00:19:53,480 --> 00:19:55,960 Speaker 1: from other articles? And it will even tell you were 340 00:19:55,960 --> 00:20:00,400 Speaker 1: pulled from Wow, and you can and you can ultra 341 00:20:00,440 --> 00:20:02,920 Speaker 1: ship too, right, like you can dumb your ship down. 342 00:20:03,680 --> 00:20:07,359 Speaker 1: So let's say, you know, obviously you know an article 343 00:20:07,440 --> 00:20:10,120 Speaker 1: like that, it's probably not for Mrs schul sixth grade 344 00:20:10,160 --> 00:20:13,280 Speaker 1: English class. But like, if you wanted to, you could 345 00:20:13,359 --> 00:20:18,720 Speaker 1: put in a very very simple, like dry explanation of 346 00:20:18,760 --> 00:20:21,280 Speaker 1: the themes in the Disney film Toy Story and it 347 00:20:21,320 --> 00:20:23,920 Speaker 1: will come back to you with about the same level 348 00:20:24,040 --> 00:20:28,760 Speaker 1: of like rhetorical style. I don't know. I think you 349 00:20:28,800 --> 00:20:31,400 Speaker 1: could turn that Jacobin thing into miss Schultz and she'd 350 00:20:31,400 --> 00:20:35,440 Speaker 1: be she'd just be like, whoa damn? Okay, all right, 351 00:20:35,600 --> 00:20:42,359 Speaker 1: I'm Columbia's journalism school. I was passing love letters and 352 00:20:42,400 --> 00:20:45,359 Speaker 1: being a class clown. So I'm like thinking now, like 353 00:20:45,880 --> 00:20:48,600 Speaker 1: I would ay, I would have helped me, right right, 354 00:20:49,119 --> 00:20:51,160 Speaker 1: You probably like I liked, pass a note to someone 355 00:20:51,240 --> 00:20:53,080 Speaker 1: and she'd be like she opens it up and reads 356 00:20:53,119 --> 00:20:57,360 Speaker 1: it and says, like, wherefore art thou? Jessica Rodriguez? What light? 357 00:20:58,119 --> 00:21:01,760 Speaker 1: What light? From your school deskparate wrath? Right now, give 358 00:21:01,840 --> 00:21:04,720 Speaker 1: me like two sentences from a wrath in sixth grade 359 00:21:04,720 --> 00:21:08,119 Speaker 1: love letter, and we'll let this ship continue. Let dear 360 00:21:08,359 --> 00:21:11,080 Speaker 1: what what's her name? Jessica? You said, Oh man, Jessica 361 00:21:11,200 --> 00:21:16,359 Speaker 1: Rogas my god, Jessica. I have a crush on you, 362 00:21:17,440 --> 00:21:23,160 Speaker 1: like fifteen year old think about we'll just okay, we'll 363 00:21:23,160 --> 00:21:32,120 Speaker 1: pretend we could well, well, we'll just j I Jessica, Okay, 364 00:21:33,240 --> 00:21:35,720 Speaker 1: I have a crush on you. You are the most 365 00:21:35,760 --> 00:21:41,439 Speaker 1: beautiful student at school. It was funny too, She was 366 00:21:41,480 --> 00:21:49,040 Speaker 1: so funny and you are so funny. I'm just gonna 367 00:21:49,080 --> 00:21:51,080 Speaker 1: give it that, dear Jessica, I have a crush on you. 368 00:21:51,080 --> 00:21:52,879 Speaker 1: You're the most beautiful student at school and you are 369 00:21:52,920 --> 00:21:56,520 Speaker 1: so funny. It's going to continue with drum roll, Please 370 00:21:56,920 --> 00:21:58,800 Speaker 1: you cheer me up when I am sad. I hope 371 00:21:58,800 --> 00:22:01,479 Speaker 1: you can like me. Sean showed the card to my 372 00:22:01,520 --> 00:22:04,399 Speaker 1: mother and she said, Okay, now it's getting blacked. She 373 00:22:04,600 --> 00:22:08,760 Speaker 1: just got real aggressively started writing, like details into your life. 374 00:22:09,200 --> 00:22:10,880 Speaker 1: So now it's doing a story. I said, so you said, 375 00:22:10,920 --> 00:22:12,680 Speaker 1: dear just a question. You're so funny that I said, 376 00:22:12,680 --> 00:22:15,200 Speaker 1: would you ever go out with me? Susie? But then 377 00:22:15,200 --> 00:22:18,159 Speaker 1: he said Susie's heart starts beating faster. She thinks for 378 00:22:18,200 --> 00:22:20,200 Speaker 1: a moment and then writes, dear, Mark, thanks for the 379 00:22:20,280 --> 00:22:24,840 Speaker 1: nice poem. You're you know they're going to monetize this 380 00:22:24,920 --> 00:22:26,879 Speaker 1: and they'll be like an ad in it, Like Jessica, 381 00:22:27,040 --> 00:22:30,159 Speaker 1: you may also be in need of a discount. Right 382 00:22:30,640 --> 00:22:33,440 Speaker 1: just shifted to fiction. But okay, So on one hand, 383 00:22:33,520 --> 00:22:37,359 Speaker 1: it might seem like that is the AI breaking down. 384 00:22:37,600 --> 00:22:41,000 Speaker 1: On the other hand, it could be a brilliant hedge 385 00:22:41,560 --> 00:22:44,160 Speaker 1: where that just comes up in the middle of the thing. 386 00:22:44,760 --> 00:22:49,280 Speaker 1: And so if Jessica is like, nah, you're like no, 387 00:22:49,359 --> 00:22:51,800 Speaker 1: I was just showing you a short story I wrote. 388 00:22:52,280 --> 00:22:55,480 Speaker 1: Why are you acting like I meant this? That's kind 389 00:22:55,520 --> 00:22:59,400 Speaker 1: of AI is the ultimate wing man, yeah, like four 390 00:22:59,400 --> 00:23:02,239 Speaker 1: dimensional chess. So this is kind of like brought up 391 00:23:02,240 --> 00:23:05,919 Speaker 1: a whole debate with educators because they're like, what the 392 00:23:05,920 --> 00:23:08,800 Speaker 1: funk are we supposed to do? Like doing it shift 393 00:23:08,880 --> 00:23:12,920 Speaker 1: policies now to say, like using AI is against the 394 00:23:12,920 --> 00:23:15,600 Speaker 1: fucking ethos of the school. Funk around with it, and 395 00:23:15,640 --> 00:23:17,680 Speaker 1: if we find out, you will find out as well. 396 00:23:17,720 --> 00:23:19,320 Speaker 1: But then they're like, we also don't want to put 397 00:23:19,320 --> 00:23:22,119 Speaker 1: it in students heads that this is a normal ship 398 00:23:22,160 --> 00:23:24,800 Speaker 1: that they can start using. Then other people are like, well, 399 00:23:24,840 --> 00:23:26,960 Speaker 1: what are the limits? Right, because people use spell spell 400 00:23:27,080 --> 00:23:31,119 Speaker 1: check or other like sort of like smart tools that 401 00:23:31,160 --> 00:23:35,920 Speaker 1: helped people's writing, and that detects plagiarism. So this is, right, 402 00:23:36,000 --> 00:23:39,240 Speaker 1: just the latest salvo in the arms war between students 403 00:23:39,240 --> 00:23:42,040 Speaker 1: and teachers. The old school way was you feed your 404 00:23:42,040 --> 00:23:45,479 Speaker 1: ship to the plagiarism thing and then you swag up 405 00:23:45,520 --> 00:23:47,520 Speaker 1: every sentence. So now it's not it's not going to 406 00:23:47,600 --> 00:23:49,480 Speaker 1: hit anymore on that that used. That was like I 407 00:23:49,520 --> 00:23:52,399 Speaker 1: think the way to grind it out using sky ship 408 00:23:52,440 --> 00:23:54,040 Speaker 1: back in the day. But now we're looking at. Just 409 00:23:54,600 --> 00:23:57,600 Speaker 1: here's three topics I need you know, it's about these. 410 00:23:57,640 --> 00:24:00,480 Speaker 1: If you like, if the first paragraph is just innked enough, 411 00:24:00,520 --> 00:24:02,840 Speaker 1: it can kind of know where you're headed. Maybe this 412 00:24:02,920 --> 00:24:07,760 Speaker 1: is the new phase of education because you have the 413 00:24:07,880 --> 00:24:10,000 Speaker 1: article generated, but then you have to go and fact 414 00:24:10,080 --> 00:24:13,000 Speaker 1: check the article that was generated for you. So you 415 00:24:13,040 --> 00:24:16,119 Speaker 1: go and re the entire l A Times article to 416 00:24:16,160 --> 00:24:18,560 Speaker 1: make sure that it's giving an accurate So it's just 417 00:24:18,640 --> 00:24:23,720 Speaker 1: basically generating research work for you without without doing the 418 00:24:24,000 --> 00:24:28,240 Speaker 1: right with the newest kind of curriculum and education through 419 00:24:28,280 --> 00:24:30,840 Speaker 1: like common cork and I have a kid, and it 420 00:24:31,000 --> 00:24:33,119 Speaker 1: is to to not just go and find facts and 421 00:24:33,160 --> 00:24:36,840 Speaker 1: regurgitate them, but to actually be a journalist and get 422 00:24:36,920 --> 00:24:40,679 Speaker 1: multiple sources around places and and actually report back on 423 00:24:40,800 --> 00:24:43,520 Speaker 1: what society was thinking of that moment, what we're the 424 00:24:43,560 --> 00:24:46,960 Speaker 1: opposing viewpoints. So I could see I could see a 425 00:24:47,119 --> 00:24:50,160 Speaker 1: creative kind of curriculum that can kind of pull this in. 426 00:24:50,200 --> 00:24:53,320 Speaker 1: But it's still it's still pretty frightening, right, And that's 427 00:24:53,359 --> 00:24:56,439 Speaker 1: when that's the other thing educators are asking themselves. It's like, 428 00:24:56,560 --> 00:24:58,840 Speaker 1: you know, some people are like, well, maybe the way 429 00:24:58,840 --> 00:25:01,720 Speaker 1: we're educating kids needs to change. If it's as simple 430 00:25:01,720 --> 00:25:03,679 Speaker 1: as feeding in AI and we need to think a 431 00:25:03,720 --> 00:25:07,400 Speaker 1: little bit more with our brains here to find new 432 00:25:07,440 --> 00:25:10,960 Speaker 1: ways to begin to say, Okay, this assignment means you 433 00:25:11,000 --> 00:25:15,320 Speaker 1: have actually understood the curriculum, like how to operate in 434 00:25:15,600 --> 00:25:17,800 Speaker 1: a new world. Right, that's what we're trying to educate 435 00:25:17,840 --> 00:25:21,040 Speaker 1: them for, So you're they better know how to plage 436 00:25:21,040 --> 00:25:25,920 Speaker 1: your rise with your step behind. Yeah, yeah, I mean 437 00:25:25,960 --> 00:25:29,199 Speaker 1: the new common Core ship is really messing me. I'm 438 00:25:29,240 --> 00:25:31,359 Speaker 1: in the midst of a massive cover up with my 439 00:25:31,440 --> 00:25:34,280 Speaker 1: six year old is trying to going through files trying 440 00:25:34,280 --> 00:25:38,639 Speaker 1: to prove that Santa Claus doesn't exist. And they call 441 00:25:38,720 --> 00:25:42,800 Speaker 1: it the right calls the comic Core, which isn't really funny. 442 00:25:43,680 --> 00:25:45,919 Speaker 1: What do you mean everyone in the country has to 443 00:25:46,000 --> 00:25:49,840 Speaker 1: learn the same thing. Yeah, But then I get yeah, 444 00:25:49,880 --> 00:25:52,080 Speaker 1: I mean I wonder if I'm trying to think of 445 00:25:52,320 --> 00:25:54,560 Speaker 1: what I mean. Look, I'm not an educator, so there's 446 00:25:54,560 --> 00:25:56,760 Speaker 1: no way I could have a constructive idea to how 447 00:25:57,480 --> 00:26:00,480 Speaker 1: they navigate this. But it does feel like I guess, 448 00:26:00,600 --> 00:26:03,840 Speaker 1: if if it is that easy to just merely say okay, 449 00:26:03,880 --> 00:26:07,119 Speaker 1: you want me to write something watch this, then what 450 00:26:07,359 --> 00:26:10,040 Speaker 1: is that next step? And I know plenty of educators 451 00:26:10,080 --> 00:26:13,160 Speaker 1: this in the show. Please let me know. Are y'all worried? Right? 452 00:26:13,480 --> 00:26:16,120 Speaker 1: Is everything changing so rapidly or like that's the least 453 00:26:16,119 --> 00:26:21,240 Speaker 1: of their problems right now? Yeah, liked if they use this, 454 00:26:22,320 --> 00:26:24,560 Speaker 1: I'm just trying to picture a way to take this 455 00:26:24,600 --> 00:26:28,760 Speaker 1: into account and still have them learn, you know, because 456 00:26:28,800 --> 00:26:31,600 Speaker 1: that that is if if it's doing a good job 457 00:26:31,640 --> 00:26:36,160 Speaker 1: of sourcing the articles, that is a way of finding articles, 458 00:26:36,560 --> 00:26:39,080 Speaker 1: you know that are relevant to the subject that you're 459 00:26:39,080 --> 00:26:42,560 Speaker 1: talking about, that is just easier, right, So that but 460 00:26:42,640 --> 00:26:44,680 Speaker 1: you do have to fact check them. I guess there's 461 00:26:44,680 --> 00:26:47,280 Speaker 1: this other social thing that's going to occur, I imagine, 462 00:26:47,320 --> 00:26:50,600 Speaker 1: because what are what's the algorithm? What is it doing? 463 00:26:50,640 --> 00:26:53,720 Speaker 1: How is it weighing what it's finding? If just something 464 00:26:53,800 --> 00:26:56,880 Speaker 1: is repeated enough on on large accounts, does that make 465 00:26:56,920 --> 00:27:00,440 Speaker 1: it true? You know? And now it's just regurgitate things 466 00:27:00,480 --> 00:27:04,760 Speaker 1: just because you know, very powerful like sites or entities 467 00:27:04,840 --> 00:27:06,919 Speaker 1: kind of repeated the same the same thing, I know, 468 00:27:06,960 --> 00:27:11,080 Speaker 1: like Amazon composing Amazon they send can they know that 469 00:27:11,240 --> 00:27:14,879 Speaker 1: local journalists are really like on a shoe string budget 470 00:27:14,920 --> 00:27:17,280 Speaker 1: and they don't have time, so they send them canned 471 00:27:17,280 --> 00:27:19,560 Speaker 1: reports and canned footage and it makes it and then 472 00:27:19,600 --> 00:27:22,200 Speaker 1: they reported out like it's almost like like you spoke 473 00:27:22,280 --> 00:27:26,440 Speaker 1: yesterday about capaganda. It's also like the corporaganda where they 474 00:27:26,480 --> 00:27:28,679 Speaker 1: they just make it look like they were inside this 475 00:27:28,720 --> 00:27:31,760 Speaker 1: Amazon facility and everyone loves working there and everyone's fine, 476 00:27:32,359 --> 00:27:35,600 Speaker 1: when really they just regurgitated something written for them and 477 00:27:35,680 --> 00:27:38,199 Speaker 1: you know, played video that was given to them, right, 478 00:27:38,240 --> 00:27:41,320 Speaker 1: because it's a cheap way to generate what what appears 479 00:27:41,359 --> 00:27:45,360 Speaker 1: to be objective reporting, So basically doing the exact same thing, 480 00:27:45,840 --> 00:27:47,960 Speaker 1: this is going to have impact that way. I think 481 00:27:47,960 --> 00:27:50,240 Speaker 1: it's gonna start. It's an echo chamber, is going to 482 00:27:50,320 --> 00:27:54,520 Speaker 1: be on steroids. I just I was just tinkering with 483 00:27:54,560 --> 00:27:56,600 Speaker 1: the toys in this AI because you could have it 484 00:27:56,680 --> 00:27:59,680 Speaker 1: do different styles. You're like, yo, I want something fantastical 485 00:27:59,800 --> 00:28:04,560 Speaker 1: up be authoritative, conflictive, sensual, romantic, switch your opponent. You're 486 00:28:04,760 --> 00:28:06,840 Speaker 1: lyne to romantic and said, dear Jess, I have a 487 00:28:06,880 --> 00:28:08,800 Speaker 1: crush and you're the most beautiful student at school and 488 00:28:08,800 --> 00:28:10,640 Speaker 1: you are so funny. I don't know if you feel 489 00:28:10,680 --> 00:28:12,080 Speaker 1: the same way about me, but I just wanted to 490 00:28:12,160 --> 00:28:13,480 Speaker 1: let you know how I feel. I hope you have 491 00:28:13,520 --> 00:28:16,320 Speaker 1: a great day. Sincerely, your secret admirer get the fun. 492 00:28:21,320 --> 00:28:28,399 Speaker 1: They provided emotional transparency, emotional maturity to I mean, and 493 00:28:28,400 --> 00:28:32,080 Speaker 1: then they were like his Netflix quay matches se yours 494 00:28:32,119 --> 00:28:39,920 Speaker 1: please subscribe? So yes, oh Man just shows you Rocky Road, 495 00:28:40,040 --> 00:28:42,320 Speaker 1: Rocky Road ahead. Can you imagine? Because then I also 496 00:28:42,360 --> 00:28:44,560 Speaker 1: see like a version two or like every you know, 497 00:28:44,600 --> 00:28:47,719 Speaker 1: like men are so fucking bad at expressing themselves. They 498 00:28:47,720 --> 00:28:52,240 Speaker 1: start relying on AI and ship just stop talking. Yeah, 499 00:28:53,440 --> 00:28:56,360 Speaker 1: we're absolutely. That just proves were absolutely, just like curriculum 500 00:28:56,440 --> 00:29:00,280 Speaker 1: is obsolute. Yeah, this episode is brought to you a 501 00:29:00,320 --> 00:29:03,320 Speaker 1: recurring segment brought to you by Rocky Road ice Cream 502 00:29:03,360 --> 00:29:06,480 Speaker 1: from Hogan Dahs. It's the Rocky Road evidence of a 503 00:29:06,560 --> 00:29:09,760 Speaker 1: Rocky Road ahead. And what goes better with Rocky Road 504 00:29:09,880 --> 00:29:13,680 Speaker 1: than some delicious Rocky Road ice cream? And they all 505 00:29:13,920 --> 00:29:17,800 Speaker 1: and they use on organic dairy cream, so you know, 506 00:29:18,720 --> 00:29:21,160 Speaker 1: shout out them, Shout out the sponsors for this week's 507 00:29:21,200 --> 00:29:25,680 Speaker 1: Rocky Road, this week, this week's segment. This this Week's 508 00:29:25,760 --> 00:29:28,160 Speaker 1: Rocky Road is Brad tea back. I can only hear 509 00:29:28,160 --> 00:29:30,240 Speaker 1: it him Bill Simmons's voice every time there's like a 510 00:29:30,400 --> 00:29:36,360 Speaker 1: branded segment. Anyways, Republicans not quite sure to campaign. I 511 00:29:36,400 --> 00:29:39,840 Speaker 1: think they have figured out what not to campaign on. 512 00:29:40,520 --> 00:29:44,040 Speaker 1: But there they don't have anything to really replace it. 513 00:29:44,600 --> 00:29:48,760 Speaker 1: Speaking of AI, yeah, you fed all the GOP talking 514 00:29:48,800 --> 00:29:52,240 Speaker 1: points from two thousand nine, even before, from the nineties 515 00:29:52,280 --> 00:29:54,120 Speaker 1: to today, and you asked it to create a sentence, 516 00:29:54,120 --> 00:29:57,840 Speaker 1: it would say Obama Care is bad, healthcare should be 517 00:29:57,880 --> 00:30:01,240 Speaker 1: replaced with guns, abortion, and is the worst thing to 518 00:30:01,360 --> 00:30:05,800 Speaker 1: ever happen. And that's all they're consistent with. That's literally, 519 00:30:05,800 --> 00:30:09,440 Speaker 1: like quite simply a few things they've been really consistent on. 520 00:30:09,840 --> 00:30:11,840 Speaker 1: And these again, these aren't the words of a party 521 00:30:11,880 --> 00:30:14,120 Speaker 1: that are interested in trying to lead the country into 522 00:30:14,120 --> 00:30:17,560 Speaker 1: some positive future. Obviously, but we already knew that. But 523 00:30:17,640 --> 00:30:20,160 Speaker 1: when you couple that with like the results in recent 524 00:30:20,200 --> 00:30:24,120 Speaker 1: special elections, especially since the DABS decision, and you look 525 00:30:24,160 --> 00:30:26,040 Speaker 1: that you have a group of people that are trying 526 00:30:26,080 --> 00:30:29,400 Speaker 1: to figure out like a thing they can talk about 527 00:30:29,520 --> 00:30:33,880 Speaker 1: that won't be spectacularly unpopular. You know, so many of 528 00:30:33,920 --> 00:30:36,280 Speaker 1: the Republicans now like that, you know, that are trying 529 00:30:36,360 --> 00:30:38,160 Speaker 1: to make a red wave of this. November we talked 530 00:30:38,160 --> 00:30:42,680 Speaker 1: about another candidate who like completely sanitized his website. It's 531 00:30:42,680 --> 00:30:44,400 Speaker 1: like a board. I've never heard of nothing about the 532 00:30:44,640 --> 00:30:47,680 Speaker 1: forced birth never, No, don't don't tell me about that. 533 00:30:47,720 --> 00:30:50,120 Speaker 1: Don't look. Don't go on the way back machine either 534 00:30:50,200 --> 00:30:52,560 Speaker 1: or the Internet archive and see an old, cashed version 535 00:30:52,600 --> 00:30:55,640 Speaker 1: of this website that says the opposite. But many of 536 00:30:55,680 --> 00:30:59,760 Speaker 1: like the kill Obamacare crowd, have had to pivot to well, 537 00:30:59,800 --> 00:31:02,680 Speaker 1: I'm definitely into protections for pre existing conditions. I mean, 538 00:31:02,760 --> 00:31:05,760 Speaker 1: let me get that much straight at minimum, And like 539 00:31:05,840 --> 00:31:09,520 Speaker 1: the forced birth fanatics are also have not said a 540 00:31:09,600 --> 00:31:13,120 Speaker 1: single thing out loud in public, and it's just odd, 541 00:31:13,120 --> 00:31:15,200 Speaker 1: you know, well, look, a c A has become more 542 00:31:15,200 --> 00:31:17,560 Speaker 1: and more popular over the years, and simply trying to 543 00:31:17,600 --> 00:31:20,760 Speaker 1: use like racist dog whistles like Obama Care like are 544 00:31:20,800 --> 00:31:24,920 Speaker 1: no longer connecting. And we've yet to see anything resembling 545 00:31:24,920 --> 00:31:27,600 Speaker 1: what a Republican healthcare policy would look like. We don't 546 00:31:27,600 --> 00:31:30,280 Speaker 1: have to guess. It would just be all privatized everything, 547 00:31:30,520 --> 00:31:31,680 Speaker 1: you know what I mean. And then it's like, I 548 00:31:31,680 --> 00:31:34,400 Speaker 1: don't know, did you ask Jeff Bezos? Uh, if you 549 00:31:34,840 --> 00:31:38,280 Speaker 1: know if you deserve more hypodermic needles? Yeah, you're physical 550 00:31:38,400 --> 00:31:42,000 Speaker 1: brought to you by Amazon and by Amazon. Yeah, like 551 00:31:42,040 --> 00:31:43,800 Speaker 1: in the middle of the eye test, you gotta watch 552 00:31:43,840 --> 00:31:45,560 Speaker 1: a fucking trailer from Lord of the Rings and ship, 553 00:31:45,800 --> 00:31:48,120 Speaker 1: You're like, what the fuck. They're like, Okay, who do 554 00:31:48,160 --> 00:31:52,840 Speaker 1: you see? I don't know, people with bad vision love 555 00:31:52,920 --> 00:31:58,720 Speaker 1: this movie. But like a few consultants on that side, 556 00:31:58,760 --> 00:32:01,600 Speaker 1: they've all said, we really got to steer the conversation 557 00:32:01,680 --> 00:32:05,520 Speaker 1: back to gas prices and inflation. But the main issue 558 00:32:05,560 --> 00:32:07,800 Speaker 1: for voters, as we've seen in like a lot of 559 00:32:07,800 --> 00:32:10,840 Speaker 1: the Just any when ask around going into November, seems 560 00:32:10,840 --> 00:32:13,880 Speaker 1: to be all about health care and abortion, a realm 561 00:32:13,920 --> 00:32:18,000 Speaker 1: where they are just ethically unfit to discuss with non 562 00:32:18,160 --> 00:32:21,320 Speaker 1: rual type people. So it's like, I mean, I get 563 00:32:21,320 --> 00:32:23,280 Speaker 1: that the voter suppression ship that was probably gonna be 564 00:32:23,280 --> 00:32:26,320 Speaker 1: on their side in certain instances, but it's it's it's 565 00:32:26,360 --> 00:32:29,000 Speaker 1: just interesting to watch like them be like fun man, 566 00:32:29,040 --> 00:32:31,240 Speaker 1: we've been saying this ship for so long now. Most 567 00:32:31,280 --> 00:32:34,440 Speaker 1: people are like, actually, I would like to have like 568 00:32:34,480 --> 00:32:37,360 Speaker 1: I would like to not go bankrupt because I have diabetes, 569 00:32:38,320 --> 00:32:41,800 Speaker 1: and they're like ship, um m mmm, okay, let's just 570 00:32:41,800 --> 00:32:46,440 Speaker 1: shut the funk up about it, and you know, allowed 571 00:32:46,720 --> 00:32:49,520 Speaker 1: the opponents to create the conversation. The worst part of 572 00:32:49,560 --> 00:32:52,800 Speaker 1: that is that the more Republicans do that, the more 573 00:32:52,840 --> 00:32:55,560 Speaker 1: Democrats feel they have they don't have to do anything. Exactly. 574 00:32:55,840 --> 00:32:58,360 Speaker 1: It's so Biden like he can't paign on canceling like 575 00:32:58,440 --> 00:33:01,200 Speaker 1: all of the the students that he's Yeah, and then the 576 00:33:01,240 --> 00:33:04,360 Speaker 1: average is like thirty three dollars, and now you know 577 00:33:04,840 --> 00:33:07,160 Speaker 1: now it's like, yeah, let me take that back. How 578 00:33:07,200 --> 00:33:10,120 Speaker 1: about how about we wet your beak a little bit? Yeah, 579 00:33:10,680 --> 00:33:14,000 Speaker 1: right exactly. It's like, I might you guys might be 580 00:33:14,040 --> 00:33:15,960 Speaker 1: desperate enough. I could get you. I could get through 581 00:33:17,320 --> 00:33:19,320 Speaker 1: this ship too. I don't want to give you all everyone. 582 00:33:19,320 --> 00:33:21,600 Speaker 1: I went back to the boss and they couldn't really 583 00:33:22,000 --> 00:33:27,320 Speaker 1: figure out that number. Yeah, that eviction protection thing. Yeah, 584 00:33:27,840 --> 00:33:31,880 Speaker 1: let's get rid of that. Right. It seems like everybody 585 00:33:32,080 --> 00:33:34,360 Speaker 1: is waiting up to the fact that they're in favor 586 00:33:34,680 --> 00:33:38,960 Speaker 1: of leftist policies that are helpful to the vast majority 587 00:33:39,120 --> 00:33:43,400 Speaker 1: of people. But they again, there is an allergy to 588 00:33:43,520 --> 00:33:47,280 Speaker 1: being at least self consciously socialists, like being conscious that 589 00:33:47,360 --> 00:33:51,160 Speaker 1: you that you support a leftist. How right wingers actually 590 00:33:51,160 --> 00:33:54,880 Speaker 1: get away with calling Biden and the centrist Wall Street 591 00:33:54,880 --> 00:33:59,120 Speaker 1: Democrats left because that erases the left. Because if if 592 00:33:59,160 --> 00:34:01,880 Speaker 1: the left was platform in any way in this country, 593 00:34:02,360 --> 00:34:04,160 Speaker 1: there would be a lot it would we would resonate 594 00:34:04,200 --> 00:34:05,760 Speaker 1: with a lot of people, because we would be talking 595 00:34:05,800 --> 00:34:09,800 Speaker 1: about material needs that appeal to basically everybody. People's ears 596 00:34:09,920 --> 00:34:13,640 Speaker 1: would be smoking and their TVs would explode. Well, actually, 597 00:34:13,680 --> 00:34:16,840 Speaker 1: there is a we We've mentioned before, there is a 598 00:34:16,880 --> 00:34:23,759 Speaker 1: movement in the Democratic Party to offer an alternative. Yeah, well, 599 00:34:23,800 --> 00:34:27,840 Speaker 1: I guess it's both parties coming together to different option. 600 00:34:28,480 --> 00:34:33,120 Speaker 1: That is the Andrew Yang we, the whatever party, and 601 00:34:33,200 --> 00:34:38,360 Speaker 1: the whatever the Democrats are too far left policy party. 602 00:34:38,680 --> 00:34:40,359 Speaker 1: So the last time I was here, I spoke about 603 00:34:40,480 --> 00:34:43,399 Speaker 1: Yang when he was running for mayor of New York 604 00:34:43,440 --> 00:34:46,080 Speaker 1: and we were talking about why, how awful it would 605 00:34:46,120 --> 00:34:49,560 Speaker 1: be to hire to like the AI president who was 606 00:34:49,600 --> 00:34:53,920 Speaker 1: still modeling how to pick up a banana. That's right, 607 00:34:54,120 --> 00:34:57,200 Speaker 1: that's right, how to buy a banana? And oh man, 608 00:34:57,640 --> 00:35:01,719 Speaker 1: when we criticize that, immediately, like few hours later, corrected 609 00:35:01,760 --> 00:35:03,839 Speaker 1: just like an AI would and went and actually found 610 00:35:03,840 --> 00:35:05,840 Speaker 1: a real bodega and was like, I am now in 611 00:35:05,880 --> 00:35:13,160 Speaker 1: a hilarious nice try. I am now y'all have loose 612 00:35:13,239 --> 00:35:17,680 Speaker 1: new ports or not in here, my guy, just for 613 00:35:17,719 --> 00:35:25,520 Speaker 1: a loose newport localized, just set it into the Yeah, 614 00:35:25,920 --> 00:35:28,680 Speaker 1: it's so funny that that keeps coming back and getting people. 615 00:35:28,800 --> 00:35:31,560 Speaker 1: Is just the inability to shop in grocery stores, to 616 00:35:31,600 --> 00:35:35,040 Speaker 1: even like exist in a grocery store. It's because like 617 00:35:35,360 --> 00:35:37,800 Speaker 1: this kind of clean slate that he wants to present, 618 00:35:38,440 --> 00:35:41,640 Speaker 1: and like they're presenting this party, the forward party, as 619 00:35:42,320 --> 00:35:45,200 Speaker 1: the forward party. That's right. Sorry, it's not it's not right, 620 00:35:45,239 --> 00:35:49,719 Speaker 1: it's forward. Which one else do we have to explain? Do? 621 00:35:49,840 --> 00:35:52,040 Speaker 1: I mean? Any so? What are the policies and left 622 00:35:52,040 --> 00:35:54,239 Speaker 1: that you're too critical of? Well, so the thing you 623 00:35:54,280 --> 00:35:56,680 Speaker 1: have to understands we're not left and we're not right, 624 00:35:56,719 --> 00:35:59,160 Speaker 1: We're forward. That's the only time I've heard that. The 625 00:35:59,160 --> 00:36:02,319 Speaker 1: Only problem is every single person behind it is a 626 00:36:02,400 --> 00:36:06,080 Speaker 1: right winger, either a Trump right winger or neo Khan 627 00:36:06,239 --> 00:36:08,839 Speaker 1: like warmonger from the Iraq era, from the Bush era, 628 00:36:09,200 --> 00:36:13,000 Speaker 1: from the Bloomberg era, stuff, like all of them. There's 629 00:36:13,040 --> 00:36:18,560 Speaker 1: one Governor Christy Todd Whitman. She was infamous for stopping 630 00:36:18,600 --> 00:36:22,800 Speaker 1: a black New Jersey and on the street with police, 631 00:36:22,800 --> 00:36:24,760 Speaker 1: with state troopers so that she could get a photo 632 00:36:24,760 --> 00:36:28,480 Speaker 1: op of herself frisking him. Wow. You know, like these 633 00:36:28,520 --> 00:36:32,239 Speaker 1: are the type of the people who fought healthcare for, 634 00:36:32,520 --> 00:36:36,480 Speaker 1: fought right abortion rights, fought everything, and now they're they're 635 00:36:36,520 --> 00:36:39,160 Speaker 1: like costs playing is this thing in order to siphon off. 636 00:36:39,600 --> 00:36:41,920 Speaker 1: And I've seen, like I actually have this mixed kind 637 00:36:41,920 --> 00:36:44,560 Speaker 1: of relationship with Yang supporters. A lot of them are 638 00:36:44,600 --> 00:36:47,360 Speaker 1: new to politics, and they he kind of makes sense 639 00:36:47,360 --> 00:36:50,640 Speaker 1: to someone who's just like peeking in. It's like, oh, logical, 640 00:36:50,800 --> 00:36:54,359 Speaker 1: he's gonna gonna be organizing. Yeah, we have the same thing. 641 00:36:54,520 --> 00:36:56,640 Speaker 1: During the election, a lot of people were like, you 642 00:36:56,640 --> 00:36:59,360 Speaker 1: actually need to give Yang a more of a shot. 643 00:36:59,400 --> 00:37:01,120 Speaker 1: But when you do talk to them and you give 644 00:37:01,160 --> 00:37:04,520 Speaker 1: them space and you actually they like logic and they 645 00:37:04,600 --> 00:37:06,839 Speaker 1: like things portrayed that way. So when you do this 646 00:37:06,920 --> 00:37:09,480 Speaker 1: is the one group that I don't feel like most 647 00:37:09,520 --> 00:37:12,879 Speaker 1: of them are driven by like some hidden agenda like 648 00:37:13,280 --> 00:37:15,719 Speaker 1: racism or far right ideology. I don't think many of 649 00:37:15,719 --> 00:37:18,799 Speaker 1: them are. I think they're actually just low information and 650 00:37:18,840 --> 00:37:22,200 Speaker 1: just getting in. And there's a great opportunity to really 651 00:37:22,280 --> 00:37:24,120 Speaker 1: just be like, Okay, that's how you want to talk, 652 00:37:24,480 --> 00:37:26,560 Speaker 1: let me bullet point this for you. And I've had 653 00:37:26,760 --> 00:37:30,120 Speaker 1: a lot of success, a lot of success with that, right, 654 00:37:31,040 --> 00:37:34,560 Speaker 1: And it's because I mean it's so vague. Everything is 655 00:37:34,560 --> 00:37:37,160 Speaker 1: so vague that I think if it probably does act 656 00:37:37,200 --> 00:37:39,840 Speaker 1: as like a Rorschach test for like someone who's newly 657 00:37:39,880 --> 00:37:42,600 Speaker 1: engaging with politics, where you might come like, I don't know. 658 00:37:42,719 --> 00:37:45,399 Speaker 1: Both of the main parties seem dumb, and this one 659 00:37:45,480 --> 00:37:48,239 Speaker 1: what's there? Like they're the center, like the first the 660 00:37:48,320 --> 00:37:51,120 Speaker 1: landing page. After years of working in parallel to United 661 00:37:51,120 --> 00:37:54,400 Speaker 1: Americans and strengthen our democracy, the Forward Party, the Renew 662 00:37:54,480 --> 00:37:57,160 Speaker 1: America Movement, and the Serve American Movement are pleased to 663 00:37:57,160 --> 00:37:59,839 Speaker 1: announce the formal merge of our three organizations. We are 664 00:38:00,080 --> 00:38:02,680 Speaker 1: mean together from a clock across the political spectrum to 665 00:38:02,719 --> 00:38:06,719 Speaker 1: build a new and transformational American political party blah blah blah, 666 00:38:06,760 --> 00:38:09,160 Speaker 1: operating under one name Forward. I mean again. I think 667 00:38:09,200 --> 00:38:12,279 Speaker 1: with this is it's that the smart Republicans are like, bro, 668 00:38:12,400 --> 00:38:14,759 Speaker 1: this brand is getting toxic, and you need to find 669 00:38:14,800 --> 00:38:16,920 Speaker 1: a way to get some people that are gonna not 670 00:38:17,000 --> 00:38:21,960 Speaker 1: go full left, but give them something that sounds fucking flowery. 671 00:38:22,000 --> 00:38:23,920 Speaker 1: But we'll give them funk all in the end. But 672 00:38:24,040 --> 00:38:26,600 Speaker 1: we need to message it differently because simply going out 673 00:38:26,640 --> 00:38:29,960 Speaker 1: and be like gay people are bad health care, fucked up, 674 00:38:30,760 --> 00:38:33,120 Speaker 1: poor people. They're like that ship is not working. It's 675 00:38:33,160 --> 00:38:36,759 Speaker 1: not nineteen seventy anymore. Well, yeah, I'd be surprised if 676 00:38:36,880 --> 00:38:40,399 Speaker 1: Yang people who supported Yang and the last election are 677 00:38:40,480 --> 00:38:44,560 Speaker 1: still about this ship like this. This feels like a 678 00:38:44,960 --> 00:38:47,920 Speaker 1: less of a thing where he's moving his people into 679 00:38:48,200 --> 00:38:50,799 Speaker 1: this category of war where he moved in and I'd 680 00:38:50,800 --> 00:38:53,920 Speaker 1: be surprised if anybody follows him, if they are truly 681 00:38:54,040 --> 00:38:57,800 Speaker 1: just they are, I don't see the same energy. Yeah, 682 00:38:57,920 --> 00:39:02,120 Speaker 1: it feels like a thing, a party that is purely 683 00:39:02,200 --> 00:39:05,480 Speaker 1: motivated to get the New York Times to write pieces 684 00:39:05,680 --> 00:39:09,360 Speaker 1: about the New York Times after because it's all based 685 00:39:09,400 --> 00:39:12,680 Speaker 1: on mainstream media. Both sides is um and the stuff 686 00:39:12,719 --> 00:39:17,560 Speaker 1: that doesn't actually exist to voters were really matter to voters, 687 00:39:17,640 --> 00:39:21,600 Speaker 1: and it's there's just no support. But not only is 688 00:39:21,640 --> 00:39:24,160 Speaker 1: there no support for their policies, there are no policies 689 00:39:24,520 --> 00:39:27,200 Speaker 1: for their party, Like they don't really have anything they're 690 00:39:27,200 --> 00:39:29,800 Speaker 1: willing to say out loud. I a lot of policies 691 00:39:29,840 --> 00:39:33,080 Speaker 1: if they're yeah, they're founders. Another one is Barbara Comstock. 692 00:39:33,200 --> 00:39:35,279 Speaker 1: She was the one that said we should build a 693 00:39:35,280 --> 00:39:37,920 Speaker 1: wall in front of Canada too, and we should track 694 00:39:38,000 --> 00:39:42,640 Speaker 1: immigrants and migrants like FedEx packages, hard words. Amazing ship. 695 00:39:43,719 --> 00:39:48,480 Speaker 1: It goes real deep amount of Republican funding. The Trump 696 00:39:48,520 --> 00:39:50,880 Speaker 1: is and that guy who wrote that all these anonymous 697 00:39:50,920 --> 00:39:54,680 Speaker 1: figures that were in the White House that came whistleblowers 698 00:39:55,719 --> 00:39:58,200 Speaker 1: only when, not when it mattered, but when they could 699 00:39:58,200 --> 00:40:00,000 Speaker 1: sell a book. They waited to when they could say 700 00:40:00,080 --> 00:40:02,279 Speaker 1: the book and sorry. But one of them is called 701 00:40:02,360 --> 00:40:08,040 Speaker 1: Miles Taylor. He's anonymous. Yeah, and he's part of it too. 702 00:40:08,040 --> 00:40:10,359 Speaker 1: It's just like if it was a real movement, they 703 00:40:10,360 --> 00:40:13,040 Speaker 1: wouldn't have merged with these other things. They just knew 704 00:40:13,040 --> 00:40:15,480 Speaker 1: the brand was fucked up. They just they just like, yeah, 705 00:40:15,480 --> 00:40:18,399 Speaker 1: we gotta rebrand this ship man, and they're gonna split 706 00:40:18,400 --> 00:40:19,839 Speaker 1: the vote. They did that in New York just now. 707 00:40:19,840 --> 00:40:23,319 Speaker 1: They got a congress member, probably Daniel Goldman, this like 708 00:40:23,360 --> 00:40:27,240 Speaker 1: billionaire heir to the Levi Strauss fortune, and they they 709 00:40:27,280 --> 00:40:30,520 Speaker 1: basically he bought a congressional seat so far and that 710 00:40:30,719 --> 00:40:33,439 Speaker 1: was based on splitting the vote, the progressive vote, um 711 00:40:33,480 --> 00:40:37,920 Speaker 1: and just you know, pandering, pretending your your Democrat. Oh 712 00:40:38,040 --> 00:40:41,840 Speaker 1: so he actually used this forward party to get elected 713 00:40:41,920 --> 00:40:45,520 Speaker 1: or no, just like the same formula. Okay, well we're 714 00:40:45,560 --> 00:40:49,160 Speaker 1: we're the reasonable people in the middle. Yeah. I mean 715 00:40:49,200 --> 00:40:53,399 Speaker 1: that's been that's been working since CLINTONI and triangulation and 716 00:40:53,880 --> 00:40:56,000 Speaker 1: I forget that. There's this guy who ran for president 717 00:40:56,000 --> 00:40:59,960 Speaker 1: against Trump and was kind of a centrist. Oh, Joe Biden. 718 00:41:00,280 --> 00:41:05,680 Speaker 1: Joe Biden, that guy doesn't doesn't actually support any progressive policies. 719 00:41:05,800 --> 00:41:12,320 Speaker 1: Saudi arabiews a pariah state. Come here, Mohammed, maybe I 720 00:41:12,400 --> 00:41:15,439 Speaker 1: got you. All right, let's take a quick break. We'll 721 00:41:15,440 --> 00:41:27,359 Speaker 1: be right back, and we're back. And you know, as 722 00:41:27,360 --> 00:41:29,160 Speaker 1: we were talking about before the break, like this kind 723 00:41:29,160 --> 00:41:31,880 Speaker 1: of brings up the question of you know that now 724 00:41:32,560 --> 00:41:36,600 Speaker 1: we we had I think I've heard you talk about 725 00:41:36,800 --> 00:41:40,279 Speaker 1: the fact that like the align me that like the 726 00:41:40,360 --> 00:41:43,880 Speaker 1: Black Lives Matter movement in was could be considered like 727 00:41:43,920 --> 00:41:47,399 Speaker 1: one of the largest like social civil rights movements, And 728 00:41:47,600 --> 00:41:50,120 Speaker 1: now the main way we hear about it in the 729 00:41:50,120 --> 00:41:54,080 Speaker 1: mainstream media is like these things being like we don't 730 00:41:54,080 --> 00:41:57,080 Speaker 1: gotta defund the police, we gotta fund the police, and 731 00:41:57,160 --> 00:42:00,640 Speaker 1: like NPR like blaming it for a straight up murder. 732 00:42:00,880 --> 00:42:04,040 Speaker 1: So this like kind of raised the question, why is 733 00:42:04,160 --> 00:42:09,600 Speaker 1: this particular lie so just deeply like so hard to 734 00:42:09,640 --> 00:42:13,560 Speaker 1: shake that like violent armed police and human caging are 735 00:42:13,600 --> 00:42:16,080 Speaker 1: the only way to deal with things, And you know, 736 00:42:16,160 --> 00:42:21,000 Speaker 1: there's it's structurally integral to our society. It's like a 737 00:42:21,080 --> 00:42:26,320 Speaker 1: lie that is undergirds all of the white supremacy and everything, 738 00:42:26,440 --> 00:42:29,399 Speaker 1: And that's your answer. It's gentially under that's why something 739 00:42:29,440 --> 00:42:32,640 Speaker 1: doesn't become the status quo because the majority isn't invested 740 00:42:32,680 --> 00:42:36,200 Speaker 1: in defending and maintaining. That's the why. But one of 741 00:42:36,239 --> 00:42:39,919 Speaker 1: the like how I guess questions of like how they 742 00:42:40,000 --> 00:42:44,080 Speaker 1: got everybody to like kind of go along with it 743 00:42:44,200 --> 00:42:48,719 Speaker 1: is you pointed out and h our super producer Tricia 744 00:42:48,840 --> 00:42:52,680 Speaker 1: mccargee is joining us to talk about your your argument 745 00:42:52,840 --> 00:42:55,640 Speaker 1: and a piece for Team Vogue about like Law and Order, 746 00:42:55,760 --> 00:42:58,760 Speaker 1: the TV show and just you know, copaganda in general 747 00:42:58,920 --> 00:43:06,359 Speaker 1: being creating this standard narrative where the cops are the protagonist. Yeah, 748 00:43:06,520 --> 00:43:09,080 Speaker 1: I mean, it's it's in everage. So I guess I 749 00:43:09,120 --> 00:43:12,160 Speaker 1: tried to look at it common sensically, and I think 750 00:43:12,200 --> 00:43:14,319 Speaker 1: I have the benefit of my my family's behamon. They 751 00:43:14,360 --> 00:43:16,040 Speaker 1: live in the Bahamas, so this is in their society 752 00:43:16,080 --> 00:43:18,560 Speaker 1: at all, but we watched the same things we're watching. 753 00:43:19,040 --> 00:43:22,120 Speaker 1: My mother so often responds to me, who is in 754 00:43:22,520 --> 00:43:24,759 Speaker 1: the Bahamas. You don't vote here, you don't live here. 755 00:43:24,960 --> 00:43:28,120 Speaker 1: She don't have no reason to be invested here, but 756 00:43:28,280 --> 00:43:30,719 Speaker 1: she is child and my mommy and them is a 757 00:43:31,200 --> 00:43:33,279 Speaker 1: heavy a heavy coping in the house. My mom and 758 00:43:33,280 --> 00:43:36,840 Speaker 1: them lawn order snapped all of it. My mommy is 759 00:43:36,840 --> 00:43:38,840 Speaker 1: watching it all and she loves it. Okay, her boy 760 00:43:39,200 --> 00:43:41,439 Speaker 1: uh stayed learn them she'll she'd be ready to fight 761 00:43:41,480 --> 00:43:44,320 Speaker 1: me in the house over this stuff. And I recognized, 762 00:43:44,360 --> 00:43:46,239 Speaker 1: you know, and I thought about it early on from 763 00:43:46,360 --> 00:43:48,680 Speaker 1: jump is one of the first things we teach people. 764 00:43:48,760 --> 00:43:50,520 Speaker 1: You know, it's like, oh this, you know, nine on 765 00:43:50,600 --> 00:43:52,120 Speaker 1: one we teach the little children. You know, this is 766 00:43:52,160 --> 00:43:54,560 Speaker 1: not your here's your parents number, Here's nine one one. 767 00:43:54,760 --> 00:43:56,680 Speaker 1: You know, you play cops and robbers. Cops and the 768 00:43:56,719 --> 00:43:59,759 Speaker 1: good guys. Rubbers are bad. Everything you watch has, you know, 769 00:43:59,800 --> 00:44:04,000 Speaker 1: protagonist antagonist. Antagonists is automatically treated as the villain. And 770 00:44:04,040 --> 00:44:06,879 Speaker 1: then so many things beyond just the amount to share 771 00:44:07,040 --> 00:44:09,160 Speaker 1: volume of shows that we have. It's just the rat 772 00:44:09,320 --> 00:44:12,799 Speaker 1: capaganda like going on a see aside and even like 773 00:44:12,920 --> 00:44:15,600 Speaker 1: Lucifer TV shows like so many of them have this. 774 00:44:15,800 --> 00:44:17,440 Speaker 1: But I thought about this season another day with like 775 00:44:17,520 --> 00:44:19,960 Speaker 1: cartoons you watch and you don't even realize it, Like 776 00:44:20,440 --> 00:44:23,000 Speaker 1: I was a big Papa for girls like big Big 777 00:44:23,000 --> 00:44:25,960 Speaker 1: and ta Papa girls like love me some Papa girls, Okay, 778 00:44:26,239 --> 00:44:28,520 Speaker 1: And I realized the other day, and I'm like, why 779 00:44:28,520 --> 00:44:31,080 Speaker 1: didn't they notice that these three logales was agent to 780 00:44:31,120 --> 00:44:33,560 Speaker 1: the stakes, beating people down to the white meat the 781 00:44:33,560 --> 00:44:35,719 Speaker 1: minute the mayor called them up, like you ain't never 782 00:44:35,760 --> 00:44:38,040 Speaker 1: noticed that, Like the whole that's literally what it is. 783 00:44:38,080 --> 00:44:41,920 Speaker 1: The Papa girls, the mayor calls them up, red button, Hey, 784 00:44:41,960 --> 00:44:46,520 Speaker 1: hey we just heard some funk them up. Meeting is 785 00:44:46,600 --> 00:44:48,920 Speaker 1: the maybe they see him, there's the whole. This episode, 786 00:44:48,920 --> 00:44:51,040 Speaker 1: they see mojo Jo doing the food. So Mojoo is 787 00:44:51,080 --> 00:44:53,640 Speaker 1: trying to buy some groceries. They beat him and they 788 00:44:53,640 --> 00:44:56,279 Speaker 1: beat his ass down, and everybody right, like if you 789 00:44:56,320 --> 00:44:58,799 Speaker 1: even think about Mojo Jo Joe, the whole town's people, 790 00:44:58,840 --> 00:45:00,720 Speaker 1: all the towns people look like the power of Girls 791 00:45:00,719 --> 00:45:04,480 Speaker 1: Apricot called white people just like Professor X right, all 792 00:45:04,520 --> 00:45:08,080 Speaker 1: all of the all the villains um Ojo Jojo, Green, 793 00:45:08,320 --> 00:45:12,440 Speaker 1: Fuzzy lumpkin pig, the gang Green Gang is green, the 794 00:45:12,440 --> 00:45:15,400 Speaker 1: boogey Man is blue, him is red. All the people 795 00:45:15,400 --> 00:45:19,400 Speaker 1: of color are villain criminals. Again they asked seven, and 796 00:45:19,440 --> 00:45:21,680 Speaker 1: you realize, like eventually everything you watch is kind of 797 00:45:21,719 --> 00:45:24,200 Speaker 1: treated like this, like this is what we've designated is good, 798 00:45:24,400 --> 00:45:27,080 Speaker 1: and this is what we've designated as bad and nothing 799 00:45:27,120 --> 00:45:29,120 Speaker 1: in between really matters. It don't matter. You only see 800 00:45:29,120 --> 00:45:31,640 Speaker 1: don't do process and the you know and you watched, 801 00:45:32,880 --> 00:45:34,719 Speaker 1: but it really is like that, how much of things 802 00:45:34,760 --> 00:45:36,799 Speaker 1: you're watching. It shows you you want. It shows you 803 00:45:36,840 --> 00:45:38,799 Speaker 1: that the police are breaking the law, like they're right 804 00:45:38,840 --> 00:45:40,600 Speaker 1: to be in violent it's showing you how the police 805 00:45:40,640 --> 00:45:43,200 Speaker 1: has to because this bad guy or they're constrained. I 806 00:45:43,200 --> 00:45:46,680 Speaker 1: watched the Chippen Chane, the Chippendale rescue movie the other day, 807 00:45:46,719 --> 00:45:49,280 Speaker 1: and it was the same ship, like, oh the police. 808 00:45:49,440 --> 00:45:51,640 Speaker 1: The police were working with Chippendale to try to get 809 00:45:51,719 --> 00:45:54,000 Speaker 1: Peter Pan in them, and the police are like, oh, 810 00:45:54,200 --> 00:45:56,760 Speaker 1: we want to do something, but we can't Chippendale because 811 00:45:56,760 --> 00:45:59,879 Speaker 1: you have these constitutional rights and stuff. Some Chippendale where 812 00:46:00,040 --> 00:46:06,120 Speaker 1: like Ship always yeah, due process is treated as like 813 00:46:06,480 --> 00:46:10,359 Speaker 1: it's never been in a single movie. It's like, yeahs 814 00:46:10,840 --> 00:46:13,200 Speaker 1: the only the only person who brings in up due 815 00:46:13,280 --> 00:46:16,799 Speaker 1: processes like about to get their heads smashed into their 816 00:46:16,840 --> 00:46:19,800 Speaker 1: desk by Russell Crowe before he goes out and catches 817 00:46:19,840 --> 00:46:22,760 Speaker 1: the bag. Yes, yes, and like all jokes aside like that. 818 00:46:22,760 --> 00:46:25,359 Speaker 1: That is something like we don't realize how much we're 819 00:46:25,400 --> 00:46:27,399 Speaker 1: like how we're taught to perceive the world isn't green 820 00:46:27,480 --> 00:46:31,480 Speaker 1: and stuff, like even Lucifer, Lucifer is the literal fucking devil, 821 00:46:31,680 --> 00:46:35,440 Speaker 1: Like he's Satan. He's literally Satan, and for for Satan 822 00:46:35,560 --> 00:46:37,759 Speaker 1: to be redeemed in the eyes of God in the 823 00:46:37,760 --> 00:46:41,759 Speaker 1: world he works with the l a p D like 824 00:46:41,840 --> 00:46:44,040 Speaker 1: a dead ass. That's the plot of the show. Like, 825 00:46:44,120 --> 00:46:45,879 Speaker 1: that's the plot of the show. And you know it's 826 00:46:45,880 --> 00:46:48,160 Speaker 1: the only person they matter of fact, he is saying, 827 00:46:48,160 --> 00:46:51,360 Speaker 1: it's gonna go to hell, the defense attorney and in 828 00:46:51,520 --> 00:46:53,799 Speaker 1: order for our to go to heaven, she had to 829 00:46:53,960 --> 00:46:56,040 Speaker 1: quit the defense and there ain't gonna become a d A. 830 00:46:56,360 --> 00:46:59,120 Speaker 1: And then they tell her she goes to heaven because 831 00:46:59,760 --> 00:47:02,960 Speaker 1: the sense attorneys just trying to get bad guys off 832 00:47:03,040 --> 00:47:06,400 Speaker 1: the hook and like it's all the world. Yeah, and 833 00:47:06,400 --> 00:47:08,600 Speaker 1: you realize when you watch TV and you think about 834 00:47:08,600 --> 00:47:11,919 Speaker 1: it more, you see it in everything that person they're 835 00:47:11,960 --> 00:47:14,440 Speaker 1: always the bag out with the poor character whoever it 836 00:47:14,560 --> 00:47:17,520 Speaker 1: is they're bad there is it's like that. It's like that, 837 00:47:18,239 --> 00:47:20,239 Speaker 1: it's funny that you bring up the l a p D. Right, 838 00:47:20,239 --> 00:47:23,120 Speaker 1: because Tricia, you point out, like the kind of l 839 00:47:23,200 --> 00:47:29,200 Speaker 1: a p D kind of has it, Yeah, right, exactly. 840 00:47:29,320 --> 00:47:31,960 Speaker 1: So I read your article. First of all, your work 841 00:47:32,040 --> 00:47:35,400 Speaker 1: is amazing, it is so cool. But yeah, so I 842 00:47:35,480 --> 00:47:38,719 Speaker 1: just started going a little bit deeper into this capaganda 843 00:47:39,320 --> 00:47:42,800 Speaker 1: in TV shows around your time, and I'm One interesting 844 00:47:42,880 --> 00:47:45,680 Speaker 1: thing I found out was, of course, like the media 845 00:47:45,719 --> 00:47:49,360 Speaker 1: has always supported the police through the US the history 846 00:47:49,360 --> 00:47:52,160 Speaker 1: of the country, but in the nineteen fifties it was 847 00:47:52,200 --> 00:47:56,919 Speaker 1: actually formalized because this actor, director Jack Webb, he made 848 00:47:56,920 --> 00:47:59,120 Speaker 1: this deal with the l a p D. Where if 849 00:47:59,239 --> 00:48:01,000 Speaker 1: the l a p D you would allow him to 850 00:48:01,040 --> 00:48:05,319 Speaker 1: access police equipment and quickly approved permits and get off 851 00:48:05,400 --> 00:48:09,120 Speaker 1: duty officers as extras in his movies. He allowed the 852 00:48:09,239 --> 00:48:11,400 Speaker 1: l a p D to read over his scripts and 853 00:48:11,440 --> 00:48:14,680 Speaker 1: basically just be to anything that they didn't like. So 854 00:48:14,880 --> 00:48:17,360 Speaker 1: of course they're not going to approve anything where the 855 00:48:17,400 --> 00:48:20,000 Speaker 1: cops are portrayed as bad. And then this has just 856 00:48:20,080 --> 00:48:22,840 Speaker 1: been the standards set in Hollywood and just set in 857 00:48:23,040 --> 00:48:28,080 Speaker 1: TV and movie industry where the police is literally controlling 858 00:48:28,080 --> 00:48:30,799 Speaker 1: what we see on the street in a lot of ways. Yes, 859 00:48:30,960 --> 00:48:33,680 Speaker 1: absolutely absolutely realized it so much more. I have a 860 00:48:33,719 --> 00:48:36,040 Speaker 1: friend who who was writing the script the other day 861 00:48:36,080 --> 00:48:38,359 Speaker 1: like entertainment, and he had like just not even thinking 862 00:48:38,400 --> 00:48:40,360 Speaker 1: about it because it's so like into shows when you 863 00:48:40,360 --> 00:48:43,880 Speaker 1: think about public defenders are depicted in all media and 864 00:48:43,920 --> 00:48:47,759 Speaker 1: where they're depicted as bombs, right like bums anytime you 865 00:48:47,800 --> 00:48:50,040 Speaker 1: see a public defender and anything like they're dropping the 866 00:48:50,200 --> 00:48:55,200 Speaker 1: files and it's a way, it's how and it's how 867 00:48:55,280 --> 00:48:58,760 Speaker 1: the system like goals and believes and it's so funny 868 00:48:58,760 --> 00:49:00,960 Speaker 1: because that has so much you know a lot of 869 00:49:00,960 --> 00:49:03,280 Speaker 1: how your relationship plays out, which your clients has everything 870 00:49:03,280 --> 00:49:05,279 Speaker 1: to do it with their initial even perception of you. 871 00:49:05,520 --> 00:49:08,160 Speaker 1: Is and if a public that a public defender gets blamed, 872 00:49:08,480 --> 00:49:11,560 Speaker 1: like when you think the money is attributed is in 873 00:49:11,600 --> 00:49:13,880 Speaker 1: these day ways deliberately a public defender is underfunded, but 874 00:49:13,880 --> 00:49:15,719 Speaker 1: the prosecutor's office is are not but we're funded by 875 00:49:15,760 --> 00:49:18,319 Speaker 1: the exact same antities we're offosed across out we're doing 876 00:49:18,320 --> 00:49:20,560 Speaker 1: the same level of workflow, but it's deliberately set up 877 00:49:20,640 --> 00:49:22,799 Speaker 1: where the public defenders are ill equipped. Right and even 878 00:49:22,800 --> 00:49:25,319 Speaker 1: when in that system, like public defenders yet blamed for 879 00:49:25,440 --> 00:49:27,680 Speaker 1: polea deals or or present you with the police, which 880 00:49:27,719 --> 00:49:30,239 Speaker 1: is you you are obligated you have to present whatever 881 00:49:30,239 --> 00:49:31,759 Speaker 1: it is the police offer, but the police offers made 882 00:49:31,760 --> 00:49:34,560 Speaker 1: better prosecutors the reason why you even have to tell them, oh, 883 00:49:34,560 --> 00:49:36,359 Speaker 1: you should probably take a plea because this is what's 884 00:49:36,400 --> 00:49:39,000 Speaker 1: likely to happen at trial, because the determinate sentencing that 885 00:49:39,160 --> 00:49:41,440 Speaker 1: by legislators and what the judge is going to punish you. 886 00:49:41,680 --> 00:49:43,919 Speaker 1: It's so many different ways the system is actively doing 887 00:49:43,960 --> 00:49:45,640 Speaker 1: all these different things. But how does our media spin 888 00:49:45,719 --> 00:49:48,160 Speaker 1: into people, Oh, if you could afford to have is 889 00:49:48,200 --> 00:49:51,120 Speaker 1: these is these broadcasts by mass public defenders that are 890 00:49:51,160 --> 00:49:53,319 Speaker 1: causing you to go to jail and again. And it all, 891 00:49:53,520 --> 00:49:55,799 Speaker 1: you know, relates back to poverty in general. Because even 892 00:49:55,800 --> 00:49:58,080 Speaker 1: in a world where we pretended the problem was the 893 00:49:58,080 --> 00:50:01,080 Speaker 1: public defender, the problem is this the public defender. That's 894 00:50:01,080 --> 00:50:02,560 Speaker 1: still a reflection to the fact the majority of the 895 00:50:02,560 --> 00:50:04,520 Speaker 1: people in the criminal system are poor, you know, and 896 00:50:04,560 --> 00:50:06,839 Speaker 1: they're being represented by public defenders as opposed they can't 897 00:50:06,840 --> 00:50:09,960 Speaker 1: afford paid representation. Not that it's true that public defenders 898 00:50:09,960 --> 00:50:12,480 Speaker 1: are all equipped, but even if that was the case, 899 00:50:12,480 --> 00:50:14,040 Speaker 1: and it's not like the court doesn't know I think 900 00:50:14,080 --> 00:50:16,520 Speaker 1: something People forget to people and I and I and 901 00:50:16,560 --> 00:50:20,120 Speaker 1: I appreciate that people are optimistic or they have i 902 00:50:20,160 --> 00:50:22,879 Speaker 1: don't know, more faith in their in their actors, but 903 00:50:23,560 --> 00:50:26,040 Speaker 1: the court knows everything else that you tell the rest 904 00:50:26,040 --> 00:50:28,440 Speaker 1: of the society that shocks their conscience and gets them 905 00:50:28,440 --> 00:50:30,600 Speaker 1: to see like, oh, the system is messed up, and 906 00:50:30,640 --> 00:50:32,400 Speaker 1: they think, oh, we need to get that inform me 907 00:50:32,520 --> 00:50:34,680 Speaker 1: like the people in power, the people doing it don't know. 908 00:50:35,360 --> 00:50:38,120 Speaker 1: I was signed by the court. The person who sets 909 00:50:38,120 --> 00:50:41,080 Speaker 1: the bail is the same person that just said this 910 00:50:41,120 --> 00:50:44,040 Speaker 1: person has no money, they can't afford a lawyer. And 911 00:50:44,080 --> 00:50:46,160 Speaker 1: I'm also gonna set my mad money on them for 912 00:50:46,200 --> 00:50:47,839 Speaker 1: bill because you're gonna now you're gonna go to jail 913 00:50:47,880 --> 00:50:50,960 Speaker 1: for something you haven't They know it's deliberately done that way, 914 00:50:51,000 --> 00:50:53,680 Speaker 1: and I want I actually in law school, I went 915 00:50:53,719 --> 00:50:55,480 Speaker 1: to a prosecutor mill for a law school. I was 916 00:50:55,800 --> 00:50:57,759 Speaker 1: like the only public defender in my class. Everybody else 917 00:50:57,760 --> 00:51:00,520 Speaker 1: was a prosecutor. But in going to that prosper oh yeah, 918 00:51:00,640 --> 00:51:03,680 Speaker 1: trust me stressed and go into that prosecutor mill. You know. 919 00:51:03,680 --> 00:51:05,320 Speaker 1: They pressured me to do an internship at the d 920 00:51:05,400 --> 00:51:07,719 Speaker 1: a's office one summer, and it it went the way 921 00:51:07,760 --> 00:51:12,040 Speaker 1: you would think a person like me in the d A. Listen. 922 00:51:13,560 --> 00:51:16,120 Speaker 1: It was terrible, But I remember the one thing I 923 00:51:16,160 --> 00:51:19,520 Speaker 1: appreciate is I confirmed that all of the horrible things 924 00:51:19,520 --> 00:51:21,840 Speaker 1: that I think academically you think like, oh, you have 925 00:51:21,920 --> 00:51:24,560 Speaker 1: to parse out racism, and you more so think it's like, oh, 926 00:51:24,560 --> 00:51:27,719 Speaker 1: if I statistically look at the numbers, you'll realize it's racist. Nah, 927 00:51:27,840 --> 00:51:31,360 Speaker 1: that's upfront, Like up front there they're actively like trying 928 00:51:31,400 --> 00:51:33,920 Speaker 1: to force and muscle people assign supporting that positions. And 929 00:51:34,080 --> 00:51:36,200 Speaker 1: because people don't know how it actually works in the 930 00:51:36,200 --> 00:51:38,560 Speaker 1: maneuvers and what you know, what happens from on the 931 00:51:38,640 --> 00:51:41,080 Speaker 1: legal end. So they'll be like, you're bringing people and 932 00:51:41,120 --> 00:51:42,319 Speaker 1: they're like, oh, I don't want to I don't want 933 00:51:42,320 --> 00:51:43,880 Speaker 1: to press charges. I don't want a criminal case. So 934 00:51:44,000 --> 00:51:46,279 Speaker 1: I want them to have, you know, therapy. I want 935 00:51:46,280 --> 00:51:47,480 Speaker 1: them to get this. And they'll be like, oh, well, 936 00:51:47,480 --> 00:51:49,720 Speaker 1: you're just supporting. If you signed the supporting that position, 937 00:51:49,760 --> 00:51:51,799 Speaker 1: I could get them counseling or whatever. But they really mean, 938 00:51:51,880 --> 00:51:54,080 Speaker 1: it's signed this and now I have the document I 939 00:51:54,120 --> 00:51:56,280 Speaker 1: need to proceed on this criminal case. But this person 940 00:51:56,600 --> 00:51:58,480 Speaker 1: and in the case of there's a certain amount of 941 00:51:58,520 --> 00:52:01,000 Speaker 1: days where if that's not signed or they don't have 942 00:52:01,000 --> 00:52:03,239 Speaker 1: that paperwork, if you have somebody in on bail, they 943 00:52:03,280 --> 00:52:04,400 Speaker 1: have to come out. You'll feel like you have to 944 00:52:04,400 --> 00:52:05,920 Speaker 1: get them out. So what they do is they force 945 00:52:06,080 --> 00:52:08,960 Speaker 1: muscle these people sign it. Sign it now, you know. 946 00:52:09,120 --> 00:52:11,680 Speaker 1: And then now this person is stuck in jail. So 947 00:52:11,760 --> 00:52:13,759 Speaker 1: now they're forced to take a plea or want to, 948 00:52:13,840 --> 00:52:15,799 Speaker 1: you know, negotiate with you a police, because they're literally 949 00:52:15,840 --> 00:52:18,200 Speaker 1: gonna sit and prison until on a case there and 950 00:52:18,239 --> 00:52:19,799 Speaker 1: you were never gonna be able to prosecute, they were 951 00:52:19,840 --> 00:52:21,520 Speaker 1: never gonna be able to get convicted of or whatever. 952 00:52:21,560 --> 00:52:24,640 Speaker 1: But now they're in this position and so and that's 953 00:52:24,800 --> 00:52:28,279 Speaker 1: that's the unfortunate reality like people and Rikers. People they 954 00:52:28,320 --> 00:52:30,239 Speaker 1: hear about places like Wrikers, but they don't realize, right, 955 00:52:30,239 --> 00:52:32,319 Speaker 1: because it's a pre trial attention center. If you hear 956 00:52:32,360 --> 00:52:34,640 Speaker 1: about something that is this infamously awful place, you think 957 00:52:34,640 --> 00:52:38,120 Speaker 1: it's freaky, infamously awful people. You don't realize it's anybody 958 00:52:38,120 --> 00:52:41,320 Speaker 1: that gets arrested in New York City for anything, trafficking, frashon, 959 00:52:41,680 --> 00:52:43,759 Speaker 1: jumping the turnstyle, whatever, you don't have money, that's where 960 00:52:43,760 --> 00:52:46,440 Speaker 1: you're at. And and Rikers isn't even the worst of 961 00:52:46,480 --> 00:52:48,719 Speaker 1: its kind. You have Cook County in Chicago where the 962 00:52:48,719 --> 00:52:51,840 Speaker 1: average person is waiting waiting for their trial in prison 963 00:52:52,120 --> 00:52:54,080 Speaker 1: four to six years eight years, some people in their 964 00:52:54,120 --> 00:52:56,680 Speaker 1: eleven years doing full bids on things they have not 965 00:52:56,760 --> 00:52:59,200 Speaker 1: even had a trial on. It's absurd, but that's how 966 00:52:59,239 --> 00:53:01,920 Speaker 1: they that's how they stack it, right, and we and 967 00:53:01,960 --> 00:53:04,480 Speaker 1: I think because of that like sort of gap between 968 00:53:04,760 --> 00:53:07,800 Speaker 1: what the lived experiences of the people who are actually 969 00:53:08,120 --> 00:53:11,000 Speaker 1: grappling with the system and then like the writer's rooms 970 00:53:11,000 --> 00:53:13,120 Speaker 1: that are than like I don't know, like I'm rich 971 00:53:13,280 --> 00:53:15,480 Speaker 1: and like we got off because we got a like 972 00:53:15,520 --> 00:53:18,520 Speaker 1: a good lawyer. I think that probably feeds into this 973 00:53:18,600 --> 00:53:20,920 Speaker 1: problem as well. Right, my dad got me a good 974 00:53:21,000 --> 00:53:24,239 Speaker 1: lawyer when I was arrested in college for pissing in 975 00:53:24,280 --> 00:53:26,640 Speaker 1: the street. Right, And that's and that's another trope you 976 00:53:26,760 --> 00:53:29,360 Speaker 1: see a lot, because I think you're seeing these writers 977 00:53:29,560 --> 00:53:32,279 Speaker 1: reflected back what even their own experience was, Like I 978 00:53:32,360 --> 00:53:35,359 Speaker 1: fucking ran over a homeless guy, but I got how 979 00:53:35,360 --> 00:53:37,440 Speaker 1: many how many times you watched The White Show and 980 00:53:37,440 --> 00:53:40,520 Speaker 1: the character like that's arrested and they're they're out like 981 00:53:40,800 --> 00:53:42,600 Speaker 1: the next scene, and you never hear about it for 982 00:53:42,640 --> 00:53:44,640 Speaker 1: the arrest of the show, you know what I mean, 983 00:53:44,719 --> 00:53:47,200 Speaker 1: No case, no doubt that that that's how it's treated, 984 00:53:47,440 --> 00:53:50,200 Speaker 1: because that is often very much in reality, Like even 985 00:53:50,280 --> 00:53:52,480 Speaker 1: on the rare occasion. Like I said, I represented over 986 00:53:52,520 --> 00:53:55,759 Speaker 1: a thousand people. I probably have not represented thirty white 987 00:53:55,800 --> 00:53:58,240 Speaker 1: people like there were that many. When even I remember 988 00:53:58,239 --> 00:54:01,000 Speaker 1: all my white clients by name because they're few and 989 00:54:01,080 --> 00:54:05,279 Speaker 1: farm between, and they're always fucking outraged, outraged that there, 990 00:54:05,320 --> 00:54:08,160 Speaker 1: and then they can't out listen. No one more outraged 991 00:54:08,280 --> 00:54:10,879 Speaker 1: you than a white person that's been arrested. They would 992 00:54:10,880 --> 00:54:13,080 Speaker 1: call you. Everyge I used of a white client called 993 00:54:13,080 --> 00:54:15,959 Speaker 1: me every day and go so people can just lie 994 00:54:16,000 --> 00:54:18,680 Speaker 1: on me and I can go every day. He couldn't 995 00:54:18,680 --> 00:54:20,520 Speaker 1: believe he could not wrap her head around there. And 996 00:54:20,520 --> 00:54:23,000 Speaker 1: that's so that's often with the experiences, because even when 997 00:54:23,000 --> 00:54:25,160 Speaker 1: I have them, they get they dismissed it at Raymonds. 998 00:54:25,200 --> 00:54:27,200 Speaker 1: They're dismissed it right then they would offer them. I 999 00:54:27,320 --> 00:54:31,279 Speaker 1: once had a white guy was on a motorcycle, did 1000 00:54:31,400 --> 00:54:34,880 Speaker 1: a high speed chase. He high speed chase on his 1001 00:54:34,960 --> 00:54:36,960 Speaker 1: motorcycle the plaice, I mean he was really he was 1002 00:54:37,000 --> 00:54:40,000 Speaker 1: really on tent get like, gets into an accident, jumps 1003 00:54:40,040 --> 00:54:43,160 Speaker 1: off the bike, keeps fucking running Trump defense. They eventually 1004 00:54:43,239 --> 00:54:46,920 Speaker 1: get to him. They dismissed it at the Raymonds. They 1005 00:54:46,960 --> 00:54:49,480 Speaker 1: would never have done that. Ship like I have. I 1006 00:54:49,600 --> 00:54:52,680 Speaker 1: even one time I represented like back to back, so 1007 00:54:53,120 --> 00:54:55,920 Speaker 1: same arraymond shift, literally I have the files. Did this 1008 00:54:55,960 --> 00:54:59,600 Speaker 1: one immediately did the same judge, same prosecutor represented a 1009 00:55:00,080 --> 00:55:02,080 Speaker 1: guy who was accused of having one blunt. They asked 1010 00:55:02,080 --> 00:55:05,560 Speaker 1: for like thirty five dollars bail on him, right all right? 1011 00:55:05,600 --> 00:55:09,120 Speaker 1: Immediately right after represent a white guy who was found 1012 00:55:09,160 --> 00:55:13,240 Speaker 1: with a bunch of drugs. The dealer dealer, white dealer 1013 00:55:13,640 --> 00:55:18,160 Speaker 1: consent to release like they do and what's the ground? 1014 00:55:18,400 --> 00:55:20,759 Speaker 1: Or one time I represented a white girl who was 1015 00:55:20,760 --> 00:55:23,840 Speaker 1: accused of some wild ship, like some wild ship. And 1016 00:55:23,880 --> 00:55:27,520 Speaker 1: I remember looking, I could see the prosecutor next to me. 1017 00:55:27,600 --> 00:55:29,480 Speaker 1: You could see their files right like across I could, 1018 00:55:29,480 --> 00:55:31,480 Speaker 1: so I could see the pictures of the victim in 1019 00:55:31,520 --> 00:55:33,640 Speaker 1: the in the case and who was an Arab guy. 1020 00:55:33,880 --> 00:55:36,280 Speaker 1: I could see the pictures of the victim in the hospital. 1021 00:55:36,320 --> 00:55:37,719 Speaker 1: So when I see you know this is at bail, 1022 00:55:38,080 --> 00:55:40,600 Speaker 1: I'm like, oh fuck, she's going on to jail, like 1023 00:55:40,600 --> 00:55:42,400 Speaker 1: they're about to show those pictures, like they're about to 1024 00:55:42,600 --> 00:55:44,560 Speaker 1: you know what I mean. There was a white prosecutor. 1025 00:55:44,640 --> 00:55:46,680 Speaker 1: She just closed the file and consented to release. She 1026 00:55:46,719 --> 00:55:48,719 Speaker 1: just didn't say ship about the vision and I'm not 1027 00:55:48,760 --> 00:55:51,160 Speaker 1: gonna sit like that's my client. But I'm like I 1028 00:55:51,239 --> 00:55:55,600 Speaker 1: remember that day being like an application, like oh, this 1029 00:55:55,760 --> 00:55:58,160 Speaker 1: is a different fucking system. This is not something I 1030 00:55:58,200 --> 00:56:01,440 Speaker 1: have to academically parse out. This is happening real life. 1031 00:56:01,440 --> 00:56:04,160 Speaker 1: Like I'm looking at them like he yo, y'all know 1032 00:56:04,280 --> 00:56:06,480 Speaker 1: that I saw y'all just not do this for the 1033 00:56:06,520 --> 00:56:09,239 Speaker 1: black people. Like I'm here, I'm witnessing it. And it's 1034 00:56:09,280 --> 00:56:12,960 Speaker 1: like or I'll call you. Yeah, they literally call you 1035 00:56:12,960 --> 00:56:14,840 Speaker 1: when it's your white clients. The way they talk about it. 1036 00:56:14,880 --> 00:56:17,879 Speaker 1: The prosecutor is entirely different, Nill. They're like that same 1037 00:56:17,920 --> 00:56:19,920 Speaker 1: case with the white girl with the with the Arab victim. 1038 00:56:19,960 --> 00:56:22,439 Speaker 1: The prosecutor was like, this a beanerful And they called 1039 00:56:22,480 --> 00:56:24,920 Speaker 1: me because they wanted to prosecute the Arab guy that 1040 00:56:25,000 --> 00:56:27,799 Speaker 1: was in the hospital based on what she's saying. They 1041 00:56:28,560 --> 00:56:31,279 Speaker 1: know to some degree that she sucked him up. He's 1042 00:56:31,320 --> 00:56:34,960 Speaker 1: in the hospital. She's just saying that he did something too. 1043 00:56:35,080 --> 00:56:36,440 Speaker 1: And now they called me like, oh, they want to 1044 00:56:36,520 --> 00:56:38,640 Speaker 1: charge him for a felony because they can't talk to 1045 00:56:38,680 --> 00:56:41,680 Speaker 1: my client, you know, without my permission. And the prosecutors 1046 00:56:41,680 --> 00:56:43,920 Speaker 1: said to me were like, oh, well you know, you know, 1047 00:56:44,800 --> 00:56:47,520 Speaker 1: she's accused of whatever to him, but you know apparently 1048 00:56:47,520 --> 00:56:50,759 Speaker 1: you know, he lied, he lied. I've never had that's 1049 00:56:50,800 --> 00:56:53,160 Speaker 1: my story. My story is always my client didn't do it. 1050 00:56:53,320 --> 00:56:56,279 Speaker 1: I've never had the prosecutor credit my story to the 1051 00:56:56,400 --> 00:56:59,080 Speaker 1: my clients innocent. Only when I have a white clienter 1052 00:56:59,120 --> 00:57:08,160 Speaker 1: they're like, might be some misunderstandings. Yeah, ye, Like with 1053 00:57:08,200 --> 00:57:10,359 Speaker 1: the copaganda, like I know we see like we're talking 1054 00:57:10,400 --> 00:57:13,520 Speaker 1: about there's like all these terrible tropes like cop equals 1055 00:57:13,560 --> 00:57:16,400 Speaker 1: good uh, you know, get your good lawyer and things 1056 00:57:16,480 --> 00:57:18,960 Speaker 1: like that. What are like other because I think those 1057 00:57:19,000 --> 00:57:20,640 Speaker 1: are like and I think those are the most broad 1058 00:57:20,760 --> 00:57:23,280 Speaker 1: versions of things we see, but so many other ways 1059 00:57:23,280 --> 00:57:28,200 Speaker 1: that I think this quote unquote criminal justice system is represented, 1060 00:57:28,240 --> 00:57:30,360 Speaker 1: which I think is a total misnomer. But what what 1061 00:57:30,400 --> 00:57:32,240 Speaker 1: do you what? What? What else? What are the other 1062 00:57:32,240 --> 00:57:35,400 Speaker 1: ways that like those things are right? So of course 1063 00:57:35,480 --> 00:57:38,919 Speaker 1: there's there's that overarching idea that like when you have 1064 00:57:39,000 --> 00:57:42,800 Speaker 1: this protagonist who's a cop, you're like really emotionally attached 1065 00:57:42,840 --> 00:57:46,880 Speaker 1: to and kind of manipulated into supporting in these movies 1066 00:57:46,920 --> 00:57:50,600 Speaker 1: and TV shows, if they do bad things, like you 1067 00:57:50,640 --> 00:57:54,080 Speaker 1: still don't consider them that So that really affects just 1068 00:57:54,400 --> 00:57:58,560 Speaker 1: the public perception of police violence, but then looking a 1069 00:57:58,600 --> 00:58:02,000 Speaker 1: bit deeper into it. So there's a study called Normalizing 1070 00:58:02,000 --> 00:58:05,400 Speaker 1: Injustice that was conducted by a nonprofit called Color of Change, 1071 00:58:05,720 --> 00:58:08,240 Speaker 1: and so they just dive deeper. They do this great 1072 00:58:08,320 --> 00:58:12,600 Speaker 1: numerical study and look at several different shows. And so 1073 00:58:13,600 --> 00:58:17,280 Speaker 1: one thing that I read about was just like disciplining 1074 00:58:17,360 --> 00:58:20,320 Speaker 1: cops who are violent or who do really step out 1075 00:58:20,320 --> 00:58:23,120 Speaker 1: of flyne and harm the people that they're interacting with. 1076 00:58:23,600 --> 00:58:26,480 Speaker 1: So in the study they found that only three point 1077 00:58:26,560 --> 00:58:30,760 Speaker 1: seven percent of on screen wrong FLA actions based any investigation. 1078 00:58:31,200 --> 00:58:35,360 Speaker 1: So that childreally normalizes cops stepping out of flyne, hurting 1079 00:58:35,360 --> 00:58:39,440 Speaker 1: people and then never being punished for it and actually 1080 00:58:39,520 --> 00:58:42,200 Speaker 1: usually being supported for it. And um, I think this 1081 00:58:42,360 --> 00:58:45,680 Speaker 1: feeds a lot into cases like Brianna Taylor's where the 1082 00:58:45,800 --> 00:58:48,960 Speaker 1: cops it's like should they be like are they going 1083 00:58:49,000 --> 00:58:51,680 Speaker 1: to be punished? I mean, it takes the system so 1084 00:58:52,040 --> 00:58:56,840 Speaker 1: long to like condemn someone for murdering and and it 1085 00:58:56,920 --> 00:58:59,120 Speaker 1: and it usually doesn't. And also we need to remember 1086 00:58:59,120 --> 00:59:01,800 Speaker 1: that even when there is right, like when people get 1087 00:59:01,800 --> 00:59:04,320 Speaker 1: their civil settlements data, comps aren't punished me pay for 1088 00:59:04,320 --> 00:59:08,280 Speaker 1: that cos we're paying for that. Yeah, so we're paying 1089 00:59:08,280 --> 00:59:11,520 Speaker 1: that nothing nothing is happening at all. Yeah, and the 1090 00:59:11,560 --> 00:59:16,000 Speaker 1: average yes the phone, Yeah they don't. And a lot 1091 00:59:16,040 --> 00:59:18,560 Speaker 1: of cops just get away scott free, like there's just 1092 00:59:18,800 --> 00:59:21,800 Speaker 1: nothing done to them. Another thing that I looked into 1093 00:59:21,840 --> 00:59:26,200 Speaker 1: a sexual violence um so, shows like SPU they portray 1094 00:59:26,320 --> 00:59:30,000 Speaker 1: these really great detectives working on behalf of survivors of 1095 00:59:30,040 --> 00:59:35,240 Speaker 1: sexual violence, but in reality, like cops perpetrate a lot 1096 00:59:35,280 --> 00:59:39,040 Speaker 1: of sexual violence. Exactly, cops perpetrate the sexual violence. And 1097 00:59:39,080 --> 00:59:41,840 Speaker 1: then when people who experience it come to the cops 1098 00:59:41,840 --> 00:59:44,320 Speaker 1: because that's what we're constantly told to do. Again, like 1099 00:59:44,600 --> 00:59:46,320 Speaker 1: since we're little, we see all these things that oh, 1100 00:59:46,320 --> 00:59:48,400 Speaker 1: we'll call nine one one and the cops will save 1101 00:59:48,480 --> 00:59:51,120 Speaker 1: us from that's just so far from the truth. When 1102 00:59:51,240 --> 00:59:54,400 Speaker 1: we do report sexual violence, well, first of all, people 1103 00:59:54,400 --> 00:59:56,520 Speaker 1: are just scared because they know how fucked up the 1104 00:59:56,560 --> 00:59:58,840 Speaker 1: system is. But then when you do file a report, 1105 00:59:58,880 --> 01:00:02,520 Speaker 1: the police rarely, rarely do anything, and most people who 1106 01:00:02,600 --> 01:00:06,960 Speaker 1: have already survived it's very traumatic experience are just dissatisfied 1107 01:00:07,040 --> 01:00:11,480 Speaker 1: with the response. And then finally, so in terms of 1108 01:00:11,560 --> 01:00:15,480 Speaker 1: just reforming the criminal justice system, there is basically no 1109 01:00:15,560 --> 01:00:21,280 Speaker 1: discussion of that in TV and yeah no, and it's 1110 01:00:21,320 --> 01:00:24,880 Speaker 1: like a it's hip and that's the thing. The right 1111 01:00:24,880 --> 01:00:28,520 Speaker 1: they fight against any like, they completely dismiss any discussion. 1112 01:00:28,640 --> 01:00:30,440 Speaker 1: If you want to talk about abolition right of the 1113 01:00:30,440 --> 01:00:33,280 Speaker 1: criminal system, they completely dismiss that. And though that that's 1114 01:00:33,280 --> 01:00:35,880 Speaker 1: a radical we should be talking reform and anything. The 1115 01:00:35,960 --> 01:00:39,280 Speaker 1: slightest thing you suggest reform, the media then commits it's 1116 01:00:39,320 --> 01:00:42,080 Speaker 1: all of its energy to attacking that. Twenty four seven. 1117 01:00:42,120 --> 01:00:44,000 Speaker 1: You try to do bail reform, you try to do things, 1118 01:00:44,080 --> 01:00:47,480 Speaker 1: and then suddenly they create entire you know, propaganda and 1119 01:00:47,600 --> 01:00:51,240 Speaker 1: waves and discussions and stuff around around fighting that. So 1120 01:00:51,280 --> 01:00:53,600 Speaker 1: what it really is is they don't want any change 1121 01:00:53,640 --> 01:00:55,080 Speaker 1: at all. They liked the system as it is. And 1122 01:00:55,120 --> 01:00:57,439 Speaker 1: I think that's an important part is that whenever they're 1123 01:00:57,440 --> 01:01:00,360 Speaker 1: trying to say, you know, the bad apple discussion, I'm like, well, 1124 01:01:00,360 --> 01:01:02,520 Speaker 1: the police disagree with you. Right in a different world, 1125 01:01:02,520 --> 01:01:04,640 Speaker 1: if if I have if I have no organization, and 1126 01:01:04,720 --> 01:01:07,440 Speaker 1: one person in my organization was was a funk up, right, 1127 01:01:07,440 --> 01:01:09,480 Speaker 1: And I really I believe that person, what they're doing 1128 01:01:09,520 --> 01:01:12,480 Speaker 1: does not represent this organization. I'm not gonna fight you them, 1129 01:01:12,520 --> 01:01:14,480 Speaker 1: mus get rid of that person or you know, these 1130 01:01:14,520 --> 01:01:16,400 Speaker 1: people are bad. But it's the police department, it's the 1131 01:01:16,400 --> 01:01:19,200 Speaker 1: police unions that say no, it was okay. Did they 1132 01:01:19,240 --> 01:01:21,240 Speaker 1: kill them? When did they ever? When did the police unions? 1133 01:01:21,240 --> 01:01:23,280 Speaker 1: When did the police departments? When did the politicians get 1134 01:01:23,320 --> 01:01:26,320 Speaker 1: out and tell you, yeah, that's a bad apple, Yeah 1135 01:01:26,320 --> 01:01:29,240 Speaker 1: that's bad. They never They stand with that officer to 1136 01:01:29,360 --> 01:01:31,960 Speaker 1: the very end, to the very end, and then they 1137 01:01:32,000 --> 01:01:35,000 Speaker 1: do everything that they can, everything that they can around 1138 01:01:35,040 --> 01:01:37,280 Speaker 1: beating the rest of the community into subition. Right again, 1139 01:01:37,440 --> 01:01:39,280 Speaker 1: let's say it was a bad apple. So every time 1140 01:01:39,280 --> 01:01:40,920 Speaker 1: you have a bad apple's and let's think about the 1141 01:01:41,000 --> 01:01:44,640 Speaker 1: numbers and that every year in America over this is 1142 01:01:44,720 --> 01:01:46,760 Speaker 1: just shot and killed. This is just who police are 1143 01:01:46,800 --> 01:01:49,640 Speaker 1: recording as they shot and killed. So that's not all 1144 01:01:49,640 --> 01:01:52,040 Speaker 1: your George Floyd's. That's not your Elijah mcclains, is not 1145 01:01:52,080 --> 01:01:54,640 Speaker 1: your Eric Garner's, that's not your Alton Sterlings. That's none 1146 01:01:54,640 --> 01:01:56,840 Speaker 1: of the people that are being killed in another way, 1147 01:01:56,840 --> 01:01:59,160 Speaker 1: And that's none of the police brutality that does not 1148 01:01:59,320 --> 01:02:02,520 Speaker 1: rise to death. So exclude all of that, all your 1149 01:02:02,600 --> 01:02:06,200 Speaker 1: Jacob Blake's. The average police kill shoot and kill over 1150 01:02:06,240 --> 01:02:08,680 Speaker 1: one thousand and forty five people every year in America. 1151 01:02:09,240 --> 01:02:12,560 Speaker 1: So let's say we got right. So we got all 1152 01:02:12,600 --> 01:02:15,520 Speaker 1: of those bad apples, and what maybe five of them, 1153 01:02:15,560 --> 01:02:18,080 Speaker 1: twelve of them for the year, maybe best case, get 1154 01:02:18,200 --> 01:02:20,640 Speaker 1: some kind of like large media attention. And that was 1155 01:02:20,720 --> 01:02:24,200 Speaker 1: the response. They immediately send out militarized police to go 1156 01:02:24,400 --> 01:02:27,920 Speaker 1: beat the protesters, go arrest the protesters, curfews, and you 1157 01:02:27,920 --> 01:02:29,640 Speaker 1: get a bunch of charges, to get a bunch of 1158 01:02:29,720 --> 01:02:32,640 Speaker 1: video show on police brutality on video. Even remember when 1159 01:02:32,680 --> 01:02:35,400 Speaker 1: they knocked that old white man down, that old man 1160 01:02:35,520 --> 01:02:38,840 Speaker 1: split his hand open. No no charges there, none of them. 1161 01:02:38,840 --> 01:02:42,000 Speaker 1: We just saw what yesterday. Yesterday and the day before 1162 01:02:42,160 --> 01:02:44,680 Speaker 1: m YPD punch and beat up a nineteen year old 1163 01:02:44,720 --> 01:02:46,920 Speaker 1: girl and Eric Adams came up and said, oh, the 1164 01:02:47,000 --> 01:02:50,080 Speaker 1: officers show great restraints. Or a few months ago, NYPD 1165 01:02:50,200 --> 01:02:51,920 Speaker 1: shot an eighteen year old in the head because he 1166 01:02:52,000 --> 01:02:55,120 Speaker 1: ran through a red light and Eric Adams defended that too. 1167 01:02:55,160 --> 01:02:57,760 Speaker 1: So you see what I'm saying. Even if you were, 1168 01:02:57,800 --> 01:02:59,880 Speaker 1: if you wanted to go with the bad apple narrative 1169 01:03:00,120 --> 01:03:03,440 Speaker 1: less perturn. Okay, so we got thousands, We got thousands 1170 01:03:03,440 --> 01:03:07,120 Speaker 1: of bad apples, and our police departments, the police unions, 1171 01:03:07,280 --> 01:03:11,000 Speaker 1: our media are politicians and everybody in power says no, 1172 01:03:11,200 --> 01:03:16,080 Speaker 1: they're not bad. So then what the right exactly? Yeah, 1173 01:03:16,240 --> 01:03:21,120 Speaker 1: if you lost the messaging war, ye, right, And then 1174 01:03:21,160 --> 01:03:24,360 Speaker 1: to to think about like how can we use media 1175 01:03:24,480 --> 01:03:26,360 Speaker 1: to change that? Like how can we change that in 1176 01:03:26,440 --> 01:03:30,680 Speaker 1: movies and TV and m Well, yeah, as we talked about, 1177 01:03:30,720 --> 01:03:34,920 Speaker 1: it's just like so racialized. Um. Currently, out of the 1178 01:03:35,080 --> 01:03:39,640 Speaker 1: twenty seven shows that the study covered, the show runners 1179 01:03:39,680 --> 01:03:44,120 Speaker 1: were white men. Out of writers, more than seventy percent 1180 01:03:44,160 --> 01:03:47,280 Speaker 1: were white and only nine percent were black. So the 1181 01:03:47,280 --> 01:03:50,959 Speaker 1: people who are creating these shows largely don't have any 1182 01:03:51,000 --> 01:03:54,920 Speaker 1: experience with the with the system that we're dealing with 1183 01:03:54,960 --> 01:03:57,320 Speaker 1: in this country. And so in terms of just what 1184 01:03:57,360 --> 01:03:59,320 Speaker 1: we can do to change it, I mean, one option 1185 01:03:59,480 --> 01:04:02,800 Speaker 1: is just the personal option to not watch shows that 1186 01:04:02,920 --> 01:04:06,600 Speaker 1: depict cops as heroes, as good people, as people who 1187 01:04:06,600 --> 01:04:09,960 Speaker 1: are not violent and coercive. And this could also be, 1188 01:04:10,200 --> 01:04:11,920 Speaker 1: you know, a signal to networks that we don't want 1189 01:04:11,960 --> 01:04:15,720 Speaker 1: to watch cops who are portrayed like this. Another idea 1190 01:04:15,800 --> 01:04:18,640 Speaker 1: is to cancel TV shows with cops in general, and 1191 01:04:18,680 --> 01:04:21,520 Speaker 1: this has actually been happening, Like the series Cops, which 1192 01:04:21,600 --> 01:04:25,520 Speaker 1: ran for around thirty years, was was canceled. I believe 1193 01:04:25,520 --> 01:04:30,320 Speaker 1: in um and some other networks have also cut police 1194 01:04:30,360 --> 01:04:35,040 Speaker 1: reality series. But a lot of people are also saying, yeah, 1195 01:04:35,400 --> 01:04:38,160 Speaker 1: is that actually came back in September of last year 1196 01:04:39,720 --> 01:04:42,160 Speaker 1: when people aren't paying the US and they announced it, Yeah, 1197 01:04:42,200 --> 01:04:46,960 Speaker 1: they slowly, like on Fox Nation, like their Live Pet 1198 01:04:47,240 --> 01:04:49,560 Speaker 1: and they just they changed the name to Live Pet 1199 01:04:49,640 --> 01:04:52,400 Speaker 1: to like on Patrol or some other dumb euphemistic or not. 1200 01:04:52,880 --> 01:04:55,800 Speaker 1: Oh my gosh, let's say they fold us and that 1201 01:04:56,080 --> 01:04:58,720 Speaker 1: likely maybe with copaganda two and enough people don't call 1202 01:04:58,760 --> 01:05:00,400 Speaker 1: it out. But what they love love to do what 1203 01:05:00,520 --> 01:05:03,560 Speaker 1: they portray jails and prisons in any of these shows, 1204 01:05:03,640 --> 01:05:05,880 Speaker 1: they had a lot of white people. There are a 1205 01:05:05,880 --> 01:05:07,479 Speaker 1: lot of white people in the prisons in the jail, 1206 01:05:07,520 --> 01:05:12,160 Speaker 1: so it looks people think the system was non fucking way. 1207 01:05:12,440 --> 01:05:15,760 Speaker 1: Rikers is New York City. Think about how big New 1208 01:05:15,840 --> 01:05:19,000 Speaker 1: York City is. Rikers is over ninety five percent black 1209 01:05:19,040 --> 01:05:23,360 Speaker 1: and brown. Jesus, Like, it's not it's not this, Like 1210 01:05:23,440 --> 01:05:25,280 Speaker 1: I saw this actually and that I was watching I 1211 01:05:25,320 --> 01:05:27,480 Speaker 1: was not watching the Flash anymore because the Flash was terrible. Man, 1212 01:05:27,480 --> 01:05:29,240 Speaker 1: I was watching a video about why the Flash isn't 1213 01:05:29,240 --> 01:05:33,720 Speaker 1: good anymore. And like and the season they got, they 1214 01:05:33,760 --> 01:05:35,800 Speaker 1: got they got the flash in jail now, which is 1215 01:05:35,800 --> 01:05:38,040 Speaker 1: some bullshit and the river Dale did this nonsense too, 1216 01:05:38,080 --> 01:05:40,240 Speaker 1: but the flashes in jail and he all around the 1217 01:05:40,320 --> 01:05:43,760 Speaker 1: jail with none but white people. Whole jail just full 1218 01:05:43,760 --> 01:05:48,840 Speaker 1: of a white people and correct right slip ship and 1219 01:05:48,920 --> 01:05:51,160 Speaker 1: inventing did y'all watch Inventing Annal when that came out 1220 01:05:51,160 --> 01:05:53,280 Speaker 1: on Netflix? Last was the last year and this year, 1221 01:05:53,280 --> 01:05:54,720 Speaker 1: I don't know. All the time is long, you know, 1222 01:05:54,760 --> 01:05:59,440 Speaker 1: with the with the that's what we writers, whole nice white, 1223 01:05:59,440 --> 01:06:02,720 Speaker 1: clean and vironmen just like some white girls chilling what 1224 01:06:03,360 --> 01:06:06,480 Speaker 1: that's what look like you cain't gonna get into there's 1225 01:06:06,520 --> 01:06:09,040 Speaker 1: a bunch of white woods, a bunch of adasaurkins at 1226 01:06:09,040 --> 01:06:11,880 Speaker 1: wrikers know and like that is not that is not 1227 01:06:11,920 --> 01:06:13,720 Speaker 1: the case, but they make it look like that because 1228 01:06:13,920 --> 01:06:17,440 Speaker 1: the people become people become so so comfortable, would it, 1229 01:06:17,440 --> 01:06:19,960 Speaker 1: But it also becomes ingrained you don't question question And 1230 01:06:20,040 --> 01:06:23,600 Speaker 1: there's so much too, it's even to me the scariest 1231 01:06:23,640 --> 01:06:26,320 Speaker 1: parts are the scariest things when it comes to developing 1232 01:06:26,320 --> 01:06:29,560 Speaker 1: our consciousness, our racial or shared consciousness is as as 1233 01:06:29,560 --> 01:06:32,000 Speaker 1: a society. Isn't what they explicitly tell us. It's what 1234 01:06:32,000 --> 01:06:34,040 Speaker 1: they don't and we don't pay attention to it. It's 1235 01:06:34,080 --> 01:06:36,000 Speaker 1: like when you think about the fact that the criminal system, 1236 01:06:36,000 --> 01:06:39,720 Speaker 1: it's a legal system, is called the criminal justice, that's intentional, 1237 01:06:39,920 --> 01:06:43,040 Speaker 1: that's inherently intentional. Because if you're the first thing you learn, 1238 01:06:43,120 --> 01:06:46,720 Speaker 1: you associate justice, your whole concept of justice is criminal prosecution. 1239 01:06:46,920 --> 01:06:48,240 Speaker 1: That's where you know what I mean, that's what it is. 1240 01:06:48,280 --> 01:06:51,840 Speaker 1: You talked that from the grand beginning. Yes, for you, 1241 01:06:52,000 --> 01:06:54,560 Speaker 1: justice is like people don't even think of any other 1242 01:06:54,600 --> 01:06:57,160 Speaker 1: way to respond, or that there are other ways to 1243 01:06:57,200 --> 01:07:00,160 Speaker 1: respond to anything or crime or problems. Right, just this 1244 01:07:00,440 --> 01:07:03,080 Speaker 1: is police arrest you and Pitt the bad guy in jail. 1245 01:07:03,120 --> 01:07:05,080 Speaker 1: That's what justice is, the people. And then never even 1246 01:07:05,080 --> 01:07:07,440 Speaker 1: occurred to you the question. And I realized that in 1247 01:07:07,560 --> 01:07:10,560 Speaker 1: college when my professor I was, you know, running on 1248 01:07:10,600 --> 01:07:13,120 Speaker 1: like I usually do about the system being racist, and yeah, yeah, yeah, 1249 01:07:13,160 --> 01:07:15,920 Speaker 1: And my basis advisor, who's a white lady, who was 1250 01:07:15,960 --> 01:07:18,000 Speaker 1: just like, um, you know, you sound like you'd be 1251 01:07:18,040 --> 01:07:20,920 Speaker 1: a person who would be into abolition, and I was like, mean, abolition, 1252 01:07:21,360 --> 01:07:24,520 Speaker 1: getting rid of the prison altogether, no jail. Like even 1253 01:07:24,560 --> 01:07:26,920 Speaker 1: as even as a person who thought the criminal system, 1254 01:07:26,960 --> 01:07:29,360 Speaker 1: I knew the criminal system is racist, is and just 1255 01:07:29,680 --> 01:07:31,880 Speaker 1: I was taught like to think of the criminal system 1256 01:07:32,000 --> 01:07:33,920 Speaker 1: like how you think of water and air and oxygen, 1257 01:07:33,960 --> 01:07:35,640 Speaker 1: you know what I mean? Even civil society like you 1258 01:07:35,760 --> 01:07:37,800 Speaker 1: think you have to like that as a as a 1259 01:07:37,840 --> 01:07:40,000 Speaker 1: foundation that must exist and you have to work from 1260 01:07:40,040 --> 01:07:42,440 Speaker 1: there on. How do I correct this thing rather than 1261 01:07:42,480 --> 01:07:44,440 Speaker 1: the thing being bad because you're taught that this like 1262 01:07:44,520 --> 01:07:47,720 Speaker 1: man made institution, this is just you know, vital, and 1263 01:07:47,760 --> 01:07:50,760 Speaker 1: that to me is a great issue. But I think 1264 01:07:50,760 --> 01:07:52,520 Speaker 1: as far as how do we how do we stop 1265 01:07:52,560 --> 01:07:55,200 Speaker 1: seeing it that day of the day, they do would 1266 01:07:55,200 --> 01:07:57,560 Speaker 1: be like right, like media, if you think about it, media, 1267 01:07:57,880 --> 01:08:00,240 Speaker 1: just what we're watching, our shows, how things are cast 1268 01:08:00,280 --> 01:08:04,400 Speaker 1: has changed drastically present day to what it was ship 1269 01:08:04,480 --> 01:08:07,120 Speaker 1: just ten years ago, let alone even as a kid. 1270 01:08:07,120 --> 01:08:09,439 Speaker 1: There's so much things that's change just because we've changed 1271 01:08:09,480 --> 01:08:11,040 Speaker 1: as the society. How we respond to what you think 1272 01:08:11,040 --> 01:08:13,600 Speaker 1: all these things verse ensemble casts they keep getting and 1273 01:08:13,600 --> 01:08:16,240 Speaker 1: stuff is because they want to. You think they diversifying 1274 01:08:16,280 --> 01:08:18,360 Speaker 1: the gossil gossip girl in all these shows because they 1275 01:08:18,680 --> 01:08:21,320 Speaker 1: think it's cutest, because people respond in a particular way. 1276 01:08:21,320 --> 01:08:23,519 Speaker 1: So if you start, you know, calling this out bit 1277 01:08:23,520 --> 01:08:26,400 Speaker 1: shit and data that yeah, the rightful bitch and moan 1278 01:08:26,520 --> 01:08:29,360 Speaker 1: on Twitter and and true social whoever they be making 1279 01:08:29,360 --> 01:08:31,400 Speaker 1: a noise. But the reality is people who want to 1280 01:08:31,400 --> 01:08:34,160 Speaker 1: align their pockets will they will start making the corrections 1281 01:08:34,160 --> 01:08:35,519 Speaker 1: in the change because you don't want to watch it 1282 01:08:35,560 --> 01:08:37,680 Speaker 1: like that. So I think we gotta call out propaganda, 1283 01:08:37,720 --> 01:08:40,599 Speaker 1: but not just even in the shows that explicitly have cops. 1284 01:08:40,880 --> 01:08:43,599 Speaker 1: It's the way even just the idea of these kinds 1285 01:08:43,600 --> 01:08:46,600 Speaker 1: of systems are our hierarchies are putting everything else like. 1286 01:08:46,880 --> 01:08:49,080 Speaker 1: And that's what really to me is the more dangerous 1287 01:08:49,120 --> 01:08:51,080 Speaker 1: all the things that you're watching and you don't realize 1288 01:08:51,160 --> 01:08:53,800 Speaker 1: that it's like this. It's enforcing the exact same kind 1289 01:08:53,840 --> 01:08:57,879 Speaker 1: of dynamic and like power relations looking without the explicit police, 1290 01:08:58,800 --> 01:09:03,920 Speaker 1: right exactly. All right, that's gonna do it for this 1291 01:09:04,000 --> 01:09:07,840 Speaker 1: week's weekly Zeite. Guys, please like and review the show. 1292 01:09:08,479 --> 01:09:12,280 Speaker 1: If you like the show, uh means the world of Miles. 1293 01:09:12,400 --> 01:09:16,840 Speaker 1: He needs your validation, folks. I hope you're having a 1294 01:09:16,880 --> 01:10:06,040 Speaker 1: great weekend and I will talk to him Monday by 1295 01:10:00,000 --> 01:10:00,680 Speaker 1: at