1 00:00:00,080 --> 00:00:03,400 Speaker 1: Hello the Internet, and welcome to Season two or three, 2 00:00:03,400 --> 00:00:06,840 Speaker 1: Episode four of Daily Like Guys, the production of I 3 00:00:07,000 --> 00:00:10,119 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:10,160 --> 00:00:17,120 Speaker 1: deep dive into America's shared consciousness. It's Thursday, September one. 5 00:00:18,079 --> 00:00:21,000 Speaker 1: I'm trying to get like a Michael Buffer Timber to 6 00:00:21,040 --> 00:00:24,160 Speaker 1: my intro to this show. My name is Jack O'Brien. 7 00:00:24,200 --> 00:00:27,920 Speaker 1: A ka backs him up, Joe. I'm about to back 8 00:00:28,040 --> 00:00:31,320 Speaker 1: him up, Joe. That's what this mandate was intended to do. 9 00:00:31,880 --> 00:00:34,080 Speaker 1: Some of them trying to slide, but they can't slide 10 00:00:34,120 --> 00:00:36,559 Speaker 1: this mandate. Some of them trying to slide, but they 11 00:00:36,600 --> 00:00:38,400 Speaker 1: can't because I'm gonna make it, to make it and 12 00:00:38,400 --> 00:00:40,760 Speaker 1: make it and make it. A mac daddy. I didn't 13 00:00:40,840 --> 00:00:43,800 Speaker 1: change that last part because I do believe Joe Biden 14 00:00:43,840 --> 00:00:46,600 Speaker 1: would like to refer to himself as a mac daddy. 15 00:00:47,440 --> 00:00:52,560 Speaker 1: App Yeah, mac daddy, I feel like throw the mac first. Anyways, 16 00:00:52,800 --> 00:00:57,240 Speaker 1: That a K was courtesy of Quarantine Kids and based 17 00:00:57,280 --> 00:01:01,600 Speaker 1: on Warm It Up by Criss Cross. I'm thrilled to 18 00:01:01,720 --> 00:01:05,640 Speaker 1: be joined as always by my co host Mr Miles Round. 19 00:01:07,000 --> 00:01:11,280 Speaker 1: Every morning there's a ruler hanging from the corner of 20 00:01:11,400 --> 00:01:15,959 Speaker 1: my girlfriends for post bed I got the vaccine, so 21 00:01:16,120 --> 00:01:19,560 Speaker 1: I say it. Fucking answer. Did my balls grow or 22 00:01:19,680 --> 00:01:26,400 Speaker 1: they sound the same. I couldn't understand how Nikki worked 23 00:01:26,400 --> 00:01:32,600 Speaker 1: it out once again as predicted, left my balls up broken, 24 00:01:32,680 --> 00:01:37,160 Speaker 1: filled with worthless calm. This ship got me realing, but 25 00:01:37,400 --> 00:01:42,080 Speaker 1: I'm still here all breathing way my balls and pounds again. 26 00:01:43,319 --> 00:01:46,520 Speaker 1: Babe book said don't do it, but fox uck I 27 00:01:46,920 --> 00:01:54,840 Speaker 1: do it again. Durrnder Okay. Shout out to Mr lagoper 28 00:01:54,920 --> 00:01:57,960 Speaker 1: Gets on Twitter for that one. Yeah, you had a 29 00:01:58,040 --> 00:02:00,040 Speaker 1: discord invite, you asked for one when you post in 30 00:02:00,080 --> 00:02:04,000 Speaker 1: this ak Wow. And the syllables. I love when people 31 00:02:04,080 --> 00:02:07,559 Speaker 1: nail the syllable panail. You don't have to rush nothing 32 00:02:07,600 --> 00:02:10,079 Speaker 1: and could put double up on syllables, So shout out 33 00:02:10,120 --> 00:02:13,320 Speaker 1: to you Lex Luki. Yeah, I also like when they 34 00:02:13,360 --> 00:02:16,920 Speaker 1: don't nail the syllables at all. That's what this mandate 35 00:02:17,000 --> 00:02:21,000 Speaker 1: was intended to do. But that's the beauty of it. 36 00:02:23,320 --> 00:02:26,160 Speaker 1: But that was that was beautiful. Well done, Lex Luki, 37 00:02:26,400 --> 00:02:30,639 Speaker 1: Well done, Miles really nailing that. Mark McGrath, I mean 38 00:02:30,639 --> 00:02:33,800 Speaker 1: when you see him every day, you know still I 39 00:02:33,880 --> 00:02:37,320 Speaker 1: still just respect the hell out of Mark McGrath for 40 00:02:37,960 --> 00:02:40,840 Speaker 1: being the highest I've ever seen someone on TV. And 41 00:02:40,880 --> 00:02:42,919 Speaker 1: it was on the Wendy Williams Show. It was a 42 00:02:43,000 --> 00:02:47,880 Speaker 1: daytime show. Uh, and he when lying and when you're 43 00:02:47,880 --> 00:02:50,440 Speaker 1: on Wendy Williams and you're the highest person on the show. 44 00:02:52,040 --> 00:02:54,000 Speaker 1: And she was there too. He was there to talk 45 00:02:54,040 --> 00:02:58,200 Speaker 1: about his newborn baby. Was more he's just like flying 46 00:02:58,320 --> 00:03:00,840 Speaker 1: on up, just like I'll get at It's just like 47 00:03:01,440 --> 00:03:03,079 Speaker 1: and then they hit me the baby and they're like, 48 00:03:03,160 --> 00:03:05,360 Speaker 1: you want to cut the corner and it's just wild. 49 00:03:06,120 --> 00:03:09,320 Speaker 1: He's like, you know, the color of chalk, except his 50 00:03:09,440 --> 00:03:15,239 Speaker 1: nose is bright red. Anyways, Miles, We are thrilled to 51 00:03:15,440 --> 00:03:17,680 Speaker 1: be joined in our third seat by Wanted, the hosts 52 00:03:18,000 --> 00:03:26,280 Speaker 1: of the wildly entertaining podcast Ridiculous Romance. Please welcome Eli Bell. Everybody. 53 00:03:28,080 --> 00:03:31,880 Speaker 1: Very excited to be here. Thrilled to have Yeah, I've 54 00:03:31,919 --> 00:03:35,600 Speaker 1: been thank you. Yeah, no, I've been. Uh A longtime listener, 55 00:03:35,720 --> 00:03:40,840 Speaker 1: first time guest here. Wow. Yeah, okay. The name every 56 00:03:40,880 --> 00:03:45,560 Speaker 1: episode number one, Jack Miles go to the Beach, number 57 00:03:46,760 --> 00:03:49,760 Speaker 1: Jack Miles Zoo, the one about market, number three, the 58 00:03:49,800 --> 00:03:54,720 Speaker 1: one about Mark McGrath. Yeah, one where Miles tries out 59 00:03:54,800 --> 00:04:00,840 Speaker 1: for the Dodgers. Uh, the Hawaii epis so it obviously 60 00:04:02,200 --> 00:04:03,760 Speaker 1: when I had the lifts in my shoes when I 61 00:04:03,840 --> 00:04:09,200 Speaker 1: tried out for that basketball team, and then the proposal. Honestly, 62 00:04:09,280 --> 00:04:12,960 Speaker 1: that was sweet. I mean that's sappy, but yeah, you know, 63 00:04:13,040 --> 00:04:14,880 Speaker 1: I felt a little bit unnatural for me, but it 64 00:04:15,000 --> 00:04:18,280 Speaker 1: was what it was, and I said yes, So you 65 00:04:18,400 --> 00:04:23,680 Speaker 1: know it worked out. We were on a break, the 66 00:04:23,720 --> 00:04:26,400 Speaker 1: one where they were on a break? Eli, what tell us? 67 00:04:26,640 --> 00:04:31,160 Speaker 1: So you know I just checked out the Lucy Daisy episode. 68 00:04:31,320 --> 00:04:35,560 Speaker 1: Oh yeah, what what is the most kind of ridiculous 69 00:04:36,200 --> 00:04:42,599 Speaker 1: romantic story that you've uncovered? Generally about ridiculous romance? Yeah, 70 00:04:42,720 --> 00:04:46,080 Speaker 1: so ridiculous romance. It's sort of a little sister show 71 00:04:46,200 --> 00:04:49,320 Speaker 1: to ridiculous History. Ben Bowling, Noel Brown. They're sort of 72 00:04:49,520 --> 00:04:53,920 Speaker 1: creating the ridiculous universe of various other ridiculous blank shows. 73 00:04:54,480 --> 00:04:56,760 Speaker 1: And they came. Ben's an old friend of mine and 74 00:04:56,839 --> 00:04:58,720 Speaker 1: Diana's No. Two. We've known them both for a long time. 75 00:04:58,760 --> 00:05:01,600 Speaker 1: But Ben and Diana and I amongst them many other 76 00:05:01,680 --> 00:05:04,400 Speaker 1: talented people were inna sketch comedy theater troupe here in 77 00:05:04,440 --> 00:05:07,720 Speaker 1: Atlanta for many years and then came to us and said, hey, 78 00:05:07,760 --> 00:05:10,480 Speaker 1: you guys are funny. He thinks we're funny and you're 79 00:05:10,560 --> 00:05:13,680 Speaker 1: married and maybe you guys should take on this topic 80 00:05:13,800 --> 00:05:20,200 Speaker 1: of ridiculous, weird, bizarre couples and thrubbles and love affairs 81 00:05:20,240 --> 00:05:23,520 Speaker 1: to history. So we started digging and just yeah, found 82 00:05:23,600 --> 00:05:27,320 Speaker 1: some really really insane stories. I mean, you know, we've 83 00:05:27,360 --> 00:05:32,160 Speaker 1: got ones you've heard of, like the Bobbit's which was Lorraina. 84 00:05:32,200 --> 00:05:34,880 Speaker 1: Bobbitt and John Wayne Bobbitt, which ended up being so 85 00:05:35,120 --> 00:05:38,400 Speaker 1: much more intense and bizarre of a story, especially after 86 00:05:38,560 --> 00:05:43,120 Speaker 1: the incident. Yeah, very dark and uh classic Yeah, classic 87 00:05:43,320 --> 00:05:49,040 Speaker 1: romance really really hits all the beats. But I would 88 00:05:49,040 --> 00:05:51,720 Speaker 1: say some of the weirdest ones we've done. We recently 89 00:05:51,760 --> 00:05:57,280 Speaker 1: did a story about Simon Park who's British politician who 90 00:05:57,640 --> 00:06:00,640 Speaker 1: suddenly came out and said he has his whole life 91 00:06:00,720 --> 00:06:03,800 Speaker 1: and having sex with an alien cat queen and that 92 00:06:03,920 --> 00:06:06,840 Speaker 1: it's causing some struggles in his own marriage to a 93 00:06:06,960 --> 00:06:10,800 Speaker 1: human woman here on earth, and that he basically met 94 00:06:10,920 --> 00:06:14,080 Speaker 1: this alien when he was He said he she first 95 00:06:14,120 --> 00:06:15,400 Speaker 1: came to him as a vision when he was in 96 00:06:15,480 --> 00:06:19,040 Speaker 1: the womb, which he remembers, and then visited him when 97 00:06:19,160 --> 00:06:22,000 Speaker 1: he was five years old, and then many times throughout 98 00:06:22,080 --> 00:06:25,320 Speaker 1: his life and they've been mating and have an alien 99 00:06:25,440 --> 00:06:29,920 Speaker 1: child together. This went on planet having sex with a cat. 100 00:06:30,200 --> 00:06:33,160 Speaker 1: He's having sex with the with the cat alien on 101 00:06:33,320 --> 00:06:37,800 Speaker 1: their spaceship. They beat him up, oh okay Oka, But 102 00:06:37,920 --> 00:06:40,400 Speaker 1: no animals are being harmed. As far as we know, 103 00:06:40,640 --> 00:06:43,080 Speaker 1: it's possible. The whole thing is one big hallucination he's 104 00:06:43,080 --> 00:06:46,120 Speaker 1: having in his bedroom, but we don't thinking got to that. 105 00:06:47,160 --> 00:06:51,800 Speaker 1: But he's currently also it seems like he's driving a 106 00:06:51,920 --> 00:06:56,160 Speaker 1: big Q and on force. He does zoom meetings regularly 107 00:06:56,279 --> 00:06:59,920 Speaker 1: with like after the January sixth thing, he launched from 108 00:07:00,040 --> 00:07:04,760 Speaker 1: like sixty followers on YouTube over six and that's the 109 00:07:04,880 --> 00:07:10,320 Speaker 1: latest he shifted kind of into that conspiracy. Yeah, quite 110 00:07:10,360 --> 00:07:13,840 Speaker 1: a character, all right. Yeah, well, we are going to 111 00:07:13,920 --> 00:07:17,080 Speaker 1: get to know you a little bit better in a moment. First, 112 00:07:17,160 --> 00:07:19,720 Speaker 1: a couple of the things that we're gonna be talking 113 00:07:19,760 --> 00:07:22,680 Speaker 1: about later on in the episode having to do with 114 00:07:22,840 --> 00:07:27,960 Speaker 1: the news and the zeitgeist. We're gonna we're gonna check 115 00:07:28,000 --> 00:07:32,040 Speaker 1: in with Trump, I guess you know, and then we're 116 00:07:32,080 --> 00:07:35,160 Speaker 1: gonna do a positive story to add life back into 117 00:07:35,240 --> 00:07:40,360 Speaker 1: our bodies about some Pennsylvania high school students fighting back 118 00:07:40,560 --> 00:07:46,480 Speaker 1: against the backlash to critical race theory and succeeding. We'll 119 00:07:46,480 --> 00:07:52,280 Speaker 1: talk about Amazon's AI cameras that they've installed in drivers 120 00:07:52,440 --> 00:07:57,040 Speaker 1: vehicles that are you know, just straight up black marror episode, 121 00:07:57,320 --> 00:08:00,800 Speaker 1: like not like it easily could be a mirror episode. 122 00:08:01,040 --> 00:08:05,400 Speaker 1: So we'll talk about that. We punished you for blinking literally, 123 00:08:06,000 --> 00:08:08,560 Speaker 1: we punish you for checking your rear view mirror. We 124 00:08:08,640 --> 00:08:13,119 Speaker 1: punished you for getting cut off. It's just yeah, they're 125 00:08:13,800 --> 00:08:17,880 Speaker 1: turning people into like you know, they're using like a 126 00:08:18,400 --> 00:08:23,320 Speaker 1: financial cattle prod on people for doing things that are humans. 127 00:08:23,400 --> 00:08:26,680 Speaker 1: So we'll talk about that. We'll talk about employers realizing 128 00:08:26,760 --> 00:08:30,720 Speaker 1: drug tests are fucking dumb. We will talk about Miles 129 00:08:30,920 --> 00:08:37,040 Speaker 1: is just visceral hatred for tomatoes. It's not I know, 130 00:08:38,040 --> 00:08:40,160 Speaker 1: I know, I don't start, don't don't plume in a 131 00:08:40,240 --> 00:08:43,079 Speaker 1: box quite yet, but I will. I'm not gonna lie. 132 00:08:43,240 --> 00:08:45,880 Speaker 1: I've a I've a would up and down relationship with tomatoes. 133 00:08:46,480 --> 00:08:51,199 Speaker 1: You have a beef with tomatoes. Not confused with beef tomatoes. 134 00:08:52,400 --> 00:08:55,760 Speaker 1: You have be steak tomatoes. In fact, some people call them. 135 00:08:55,960 --> 00:08:59,160 Speaker 1: But yeah, the I I'm with you actually on on this. 136 00:09:00,120 --> 00:09:03,200 Speaker 1: Just the Yeah, we're gonna talk about raw tomatoes and prep. 137 00:09:03,520 --> 00:09:08,559 Speaker 1: It's mostly because this Duke's student wrote a wonderfully worded yeah, 138 00:09:09,160 --> 00:09:12,520 Speaker 1: tried against the tomato. Yeah, we need to we need 139 00:09:12,559 --> 00:09:15,880 Speaker 1: to reach after that duke's student. What a writer. All 140 00:09:15,960 --> 00:09:18,800 Speaker 1: of that plenty Moore, But first, Eli, we do like 141 00:09:18,960 --> 00:09:22,040 Speaker 1: to ask our guests, what is something from your search history? 142 00:09:22,960 --> 00:09:26,920 Speaker 1: Uh let's see, while you mentioned our recent episode about 143 00:09:27,240 --> 00:09:29,280 Speaker 1: Daisy and Lucy. Not to plug the show too hard, 144 00:09:29,320 --> 00:09:31,760 Speaker 1: but my entire Google search history for the last six 145 00:09:31,840 --> 00:09:36,680 Speaker 1: months has been various relationship stories, of course, but sort 146 00:09:36,720 --> 00:09:39,800 Speaker 1: of like a spinoff factor that I found out that 147 00:09:40,120 --> 00:09:42,959 Speaker 1: Daisi Arnaz was drafted during World War Two, which I 148 00:09:43,040 --> 00:09:45,400 Speaker 1: thought was weird because he was not an American citizen 149 00:09:45,440 --> 00:09:47,880 Speaker 1: at that point. And to me at least, this was 150 00:09:48,000 --> 00:09:52,200 Speaker 1: news from my you know, southern public education that foreign 151 00:09:52,240 --> 00:09:55,000 Speaker 1: nationals could get drafted. Uh yeah, just news to me. 152 00:09:55,240 --> 00:10:00,200 Speaker 1: He was here from Cuba and it was apparently pretty normal. 153 00:10:00,320 --> 00:10:02,920 Speaker 1: In World War two, they totally changed the laws so 154 00:10:03,160 --> 00:10:07,520 Speaker 1: that foreign nationals could get drafted without being naturalized, and 155 00:10:07,800 --> 00:10:11,000 Speaker 1: then it did not give them citizenship automatically. It's sort 156 00:10:11,000 --> 00:10:12,880 Speaker 1: of they sort of dangled the carrot. It made it 157 00:10:12,880 --> 00:10:16,400 Speaker 1: a little easier. Afterwards it started Wait, so they've been 158 00:10:16,440 --> 00:10:19,440 Speaker 1: doing it since back then. Yeah, yeah, hey help us 159 00:10:19,480 --> 00:10:21,160 Speaker 1: out with this war. It might it might it might 160 00:10:21,240 --> 00:10:22,839 Speaker 1: do good. I don't know, or it might not. We 161 00:10:22,920 --> 00:10:26,319 Speaker 1: might have been I don't know what it's like. Yeah, 162 00:10:27,000 --> 00:10:30,439 Speaker 1: did he did he actually enlist? He did? He actually 163 00:10:30,520 --> 00:10:34,000 Speaker 1: broke his He had a knee injury before he was 164 00:10:34,040 --> 00:10:36,679 Speaker 1: able to go do training. But he still tried to go, 165 00:10:36,840 --> 00:10:39,640 Speaker 1: but they classified him as uh, you know, he was 166 00:10:39,880 --> 00:10:43,360 Speaker 1: too injured to actually serve physically, so they had him 167 00:10:43,440 --> 00:10:47,640 Speaker 1: directing USO shows. So he was injured shortly before he 168 00:10:47,760 --> 00:10:51,079 Speaker 1: went to start training, so they didn't qualify him for 169 00:10:51,160 --> 00:10:53,840 Speaker 1: active service. But they ended up having him direct USO 170 00:10:53,960 --> 00:10:56,959 Speaker 1: shows in California, which was perfect for him because he 171 00:10:57,000 --> 00:10:58,719 Speaker 1: was already big in entertainment. He was doing you know, 172 00:10:58,760 --> 00:11:01,160 Speaker 1: it's just before the show Pile of Lucy, but he 173 00:11:01,280 --> 00:11:03,880 Speaker 1: was huge and bands in the club scene and everybody 174 00:11:03,920 --> 00:11:06,800 Speaker 1: kind of knew who he was. So radio, right did 175 00:11:07,120 --> 00:11:10,360 Speaker 1: It was a radio show before I Love Lucy was, 176 00:11:10,440 --> 00:11:13,760 Speaker 1: but he wasn't involved until it went to television. God 177 00:11:14,040 --> 00:11:18,040 Speaker 1: she was. It was her and another actor who CBS 178 00:11:18,120 --> 00:11:20,920 Speaker 1: tried to bring on the show because they thought the 179 00:11:21,000 --> 00:11:23,760 Speaker 1: idea of an interracial couple on TV was outrageous. Of 180 00:11:23,840 --> 00:11:31,760 Speaker 1: course what today like into a Pelican brief and it 181 00:11:31,840 --> 00:11:34,760 Speaker 1: was that was such We talked about this in the show. 182 00:11:34,800 --> 00:11:37,720 Speaker 1: But that's so the executives kind of like projecting their 183 00:11:37,760 --> 00:11:40,200 Speaker 1: own racism under the country because they're saying Americans won't 184 00:11:40,240 --> 00:11:42,760 Speaker 1: accept it. So Lucy and Desi went out and did 185 00:11:42,800 --> 00:11:45,280 Speaker 1: a vaudeville show, the two of them across the whole country. 186 00:11:45,840 --> 00:11:47,559 Speaker 1: Everybody loved it. It was like the biggest thing in 187 00:11:47,600 --> 00:11:49,839 Speaker 1: the country. And they came back and said, you know, no, 188 00:11:50,000 --> 00:11:53,959 Speaker 1: Americans don't reject this. That's just you guys. Right back 189 00:11:54,000 --> 00:11:56,280 Speaker 1: to that point about how the one percent is this 190 00:11:56,360 --> 00:11:58,240 Speaker 1: saying like this is what we want and this is 191 00:11:58,280 --> 00:12:02,000 Speaker 1: what the world wants. Yeah, like this is not what 192 00:12:02,160 --> 00:12:05,680 Speaker 1: we asked for. Yeah, but you know, people aren't ready 193 00:12:05,760 --> 00:12:09,520 Speaker 1: for a Denzel Washington sequel, is what I'm saying. They're 194 00:12:09,559 --> 00:12:12,080 Speaker 1: not ready to see Denzel kiss a white woman. Yes, 195 00:12:12,320 --> 00:12:15,240 Speaker 1: Denzel can't kiss a white woman. And also like the 196 00:12:15,320 --> 00:12:18,000 Speaker 1: Equalizer too, I'm just saying you're going to hit a single, 197 00:12:18,280 --> 00:12:21,800 Speaker 1: not a home run on that one because audiences are 198 00:12:21,880 --> 00:12:24,000 Speaker 1: racist and I know that because I'm racist. That was 199 00:12:24,080 --> 00:12:30,520 Speaker 1: from the Sony hack from a from a producer who claimed, look, 200 00:12:30,600 --> 00:12:33,920 Speaker 1: Denzel is my favorite actor. Okay, I'm just saying, look, 201 00:12:33,920 --> 00:12:38,400 Speaker 1: I vote for him a third term. Uh you know, 202 00:12:38,600 --> 00:12:41,280 Speaker 1: what is something you think is overrated? All right, So 203 00:12:41,400 --> 00:12:45,040 Speaker 1: we're just meeting, and I'm a lifelong vegetarian by the 204 00:12:45,120 --> 00:12:47,199 Speaker 1: vegetarian code, I have to tell you guys that you know, 205 00:12:47,400 --> 00:12:49,719 Speaker 1: in twenty five minutes of us meeting, of course, kind 206 00:12:49,720 --> 00:12:52,160 Speaker 1: of went over to be honest. Yeah, I know it's 207 00:12:52,160 --> 00:12:58,760 Speaker 1: a little late get miles and hour over here text 208 00:12:58,840 --> 00:13:00,960 Speaker 1: and I think this guy's vegetar area though, So I mean, 209 00:13:01,040 --> 00:13:05,280 Speaker 1: we had our suspicions. Try to make it obvious vegetarian skin. 210 00:13:05,480 --> 00:13:12,000 Speaker 1: Oh yeah, there's an iron So what the fund is 211 00:13:12,080 --> 00:13:18,240 Speaker 1: this guy's deal? Because like an inner life, get them off. Well, 212 00:13:18,520 --> 00:13:21,320 Speaker 1: I have in recent years decided that something very overrated 213 00:13:21,360 --> 00:13:23,360 Speaker 1: to me is all the fake meats that have been 214 00:13:23,440 --> 00:13:27,320 Speaker 1: coming out lately. The impossible, the beyond drive me crazy 215 00:13:27,320 --> 00:13:29,319 Speaker 1: because I mean, I think it's a little different for 216 00:13:29,400 --> 00:13:32,400 Speaker 1: me because I grew up like I've effectively never eaten meat, 217 00:13:32,480 --> 00:13:37,000 Speaker 1: so I'm not looking for a substitute. But but it 218 00:13:37,120 --> 00:13:41,400 Speaker 1: has bumped all the other options off of menus at 219 00:13:41,480 --> 00:13:44,240 Speaker 1: least at least here in Atlanta. What I've seen like 220 00:13:44,360 --> 00:13:48,160 Speaker 1: black bean burgers, you know, uh, in house veggie burgers, 221 00:13:48,160 --> 00:13:50,800 Speaker 1: they're all gone, They've all they're all impossible or beyond now, 222 00:13:51,520 --> 00:13:54,000 Speaker 1: and I just don't think it's really any good. And 223 00:13:54,360 --> 00:13:58,240 Speaker 1: having grown up eating all the processed, hyper process super 224 00:13:58,240 --> 00:14:00,520 Speaker 1: salty fake meats that they put in the freezer, it 225 00:14:00,600 --> 00:14:03,000 Speaker 1: doesn't taste that different from the stuff I had when 226 00:14:03,000 --> 00:14:05,480 Speaker 1: I was a kid. So this revolutionary new thing kind 227 00:14:05,480 --> 00:14:08,040 Speaker 1: of a big letdown, I think, like kind of like 228 00:14:08,320 --> 00:14:10,360 Speaker 1: a bit like you, not to not to be disparaging, 229 00:14:10,440 --> 00:14:12,319 Speaker 1: but like if he getting sort of hipster take where 230 00:14:12,360 --> 00:14:16,680 Speaker 1: it's like, yeah, what's doing all the stuff that you love? 231 00:14:18,040 --> 00:14:21,600 Speaker 1: I was vegetarian before it was cool? Yeah, how did you? Wait, 232 00:14:21,600 --> 00:14:23,480 Speaker 1: how did you become a vegetarian? This is a child 233 00:14:23,600 --> 00:14:25,560 Speaker 1: like you decided as a child or no, my my 234 00:14:25,720 --> 00:14:28,160 Speaker 1: mom started when she was a teenager and raised us 235 00:14:28,240 --> 00:14:31,280 Speaker 1: that way. Okay, so yeah, oh so you had a 236 00:14:31,480 --> 00:14:33,120 Speaker 1: so you did have a moment of being a bit 237 00:14:33,160 --> 00:14:36,280 Speaker 1: of an omnivore. No, No, like straight from when I 238 00:14:36,400 --> 00:14:40,640 Speaker 1: was born vegetarian. Oh yeah, yeah, yeah, I don't know 239 00:14:40,720 --> 00:14:45,040 Speaker 1: what I misheard anyway, His mom started so mild. This 240 00:14:45,240 --> 00:14:47,880 Speaker 1: is where the old couple behind you in the movies 241 00:14:48,040 --> 00:14:51,480 Speaker 1: explains what just happened. So his mom started when she 242 00:14:51,720 --> 00:15:00,320 Speaker 1: was a teenager miles but then from the yeah, oh okay, 243 00:15:00,760 --> 00:15:04,360 Speaker 1: I get it. I got it. But so that I noticed, like, yeah, 244 00:15:04,360 --> 00:15:07,440 Speaker 1: because I feel the like ground like those black bean 245 00:15:07,560 --> 00:15:12,200 Speaker 1: or chickpea type burger patties. Yeah. Have another person I 246 00:15:12,280 --> 00:15:14,400 Speaker 1: knew who was vegan mentioned this too, where they're like, 247 00:15:14,440 --> 00:15:16,240 Speaker 1: there was nothing wrong with that. I was fine. I 248 00:15:16,320 --> 00:15:18,920 Speaker 1: was fine until then until and then I guess it's 249 00:15:19,200 --> 00:15:21,880 Speaker 1: I guess this moved this push to bring omnivores more 250 00:15:22,000 --> 00:15:26,160 Speaker 1: into the consider eating vegan or veggie veget vegetable based, 251 00:15:26,600 --> 00:15:29,600 Speaker 1: plant based, which I appreciate. I've got friends who switched 252 00:15:29,640 --> 00:15:32,000 Speaker 1: over and they're they're glad to have something that you know, 253 00:15:32,120 --> 00:15:34,920 Speaker 1: reminds them of homes that is bag. But that's how 254 00:15:34,960 --> 00:15:37,720 Speaker 1: I definitely like, I'm like, this is great because I 255 00:15:37,760 --> 00:15:39,320 Speaker 1: think for me it's more of I don't have the 256 00:15:39,400 --> 00:15:43,880 Speaker 1: discipline to acknowledge the like that it's a net positive 257 00:15:44,040 --> 00:15:46,800 Speaker 1: for me and earth. So I'm like, well, what do 258 00:15:47,000 --> 00:15:49,280 Speaker 1: I get? Okay, so I can stop the feeling of 259 00:15:49,400 --> 00:15:52,080 Speaker 1: a burger and to be honest, like impossible. I think 260 00:15:52,120 --> 00:15:56,160 Speaker 1: I like is because it's it's almost like mimicking indecipherable 261 00:15:56,440 --> 00:15:59,960 Speaker 1: cheap beef that I grew up eating, like at football game, 262 00:16:00,400 --> 00:16:02,600 Speaker 1: Like you weren't sure if it was beef to begin with. Yeah, 263 00:16:02,640 --> 00:16:03,960 Speaker 1: you're like, I don't know, man, they said, it's a 264 00:16:04,000 --> 00:16:10,280 Speaker 1: burger texture of meat. So yeah, what's uh like, what's 265 00:16:10,320 --> 00:16:14,640 Speaker 1: an underrated vegetarian food that people are like? You know, 266 00:16:14,800 --> 00:16:19,120 Speaker 1: for me, being a vegetarian seems like an insurmountable difficult 267 00:16:19,440 --> 00:16:22,960 Speaker 1: thing to undertake. What what's like a staple that you 268 00:16:23,080 --> 00:16:25,720 Speaker 1: think that is like delicious that we When I have 269 00:16:25,920 --> 00:16:30,680 Speaker 1: that thought, I'm not understanding. I mean growing up, like really, 270 00:16:30,880 --> 00:16:33,360 Speaker 1: once I started feeding myself my you know, as a 271 00:16:33,520 --> 00:16:37,120 Speaker 1: teenager aian in my twenties, I was a very unhealthy vegetarian. 272 00:16:37,160 --> 00:16:39,560 Speaker 1: People like, oh, you're vegetarian, must be so I'm like, cheese, pizza, 273 00:16:39,600 --> 00:16:42,680 Speaker 1: and French fries are vegetarian. It was a large part 274 00:16:42,720 --> 00:16:45,200 Speaker 1: of my diet. It wasn't un till like my late twenties. 275 00:16:45,240 --> 00:16:48,360 Speaker 1: I really kind of made some choices there and started 276 00:16:49,520 --> 00:16:51,280 Speaker 1: trying to eat more than just bread and cheese all 277 00:16:51,280 --> 00:16:55,680 Speaker 1: the time. Ah, So I mean, you know I part 278 00:16:55,720 --> 00:16:57,960 Speaker 1: of it, I think is that you you start to 279 00:16:58,040 --> 00:17:01,200 Speaker 1: like foods that you eat for a while. I've heard 280 00:17:01,240 --> 00:17:02,720 Speaker 1: this from food sciences and stuff. You know, you go 281 00:17:02,840 --> 00:17:05,960 Speaker 1: two weeks if you don't like broccoli, you know, eat 282 00:17:06,000 --> 00:17:07,520 Speaker 1: it for a few weeks, and you will. And that 283 00:17:07,640 --> 00:17:09,920 Speaker 1: sort of happened to me with things like Brussels sprouts 284 00:17:09,960 --> 00:17:11,439 Speaker 1: that I'd like as a kid. And now I've got 285 00:17:11,520 --> 00:17:14,800 Speaker 1: five different recipes for Brussels sprouts that I probably eat 286 00:17:14,840 --> 00:17:18,960 Speaker 1: three pairs a week. Yeah. I cook mostly at home 287 00:17:19,240 --> 00:17:23,560 Speaker 1: and try just try to get creative with, you know, 288 00:17:23,640 --> 00:17:26,199 Speaker 1: whatever ingredients I can. It's hard to pinpoint one specifically, 289 00:17:26,280 --> 00:17:28,800 Speaker 1: but yeah, yeah, by a cabinet full of food and 290 00:17:28,800 --> 00:17:32,320 Speaker 1: start dumping in a pot. Olive oil, garlics and rosemary 291 00:17:32,359 --> 00:17:35,240 Speaker 1: will fix anything. Just by cabinet full of food, dumping 292 00:17:35,240 --> 00:17:36,960 Speaker 1: in a pot and see what you come up with. 293 00:17:37,160 --> 00:17:40,040 Speaker 1: They have no idea how literally I'm going to take that. 294 00:17:41,600 --> 00:17:43,280 Speaker 1: They're like, wait, you take it out of the cans. 295 00:17:44,720 --> 00:17:46,520 Speaker 1: Put the cans in the pot too, Yeah, the can 296 00:17:47,880 --> 00:17:51,080 Speaker 1: just take the labels off. What's something you think is underrated? 297 00:17:51,119 --> 00:17:55,119 Speaker 1: ELI Not to invite too much controversy, but phone calls 298 00:17:57,119 --> 00:18:00,040 Speaker 1: I get it. I get that texting is useful a 299 00:18:00,080 --> 00:18:04,000 Speaker 1: lot of situations. I'm probably sixty text phone myself. But 300 00:18:04,440 --> 00:18:07,760 Speaker 1: this kind of raw hatred that's come against the very 301 00:18:07,880 --> 00:18:10,880 Speaker 1: idea of speaking on the phone in the last few years. 302 00:18:10,960 --> 00:18:13,000 Speaker 1: It's really strange to me. It feels like a technological 303 00:18:13,040 --> 00:18:16,240 Speaker 1: step backwards. They said, well, you know what if we 304 00:18:16,240 --> 00:18:18,280 Speaker 1: don't have to write these letters and telegrams anymore, and 305 00:18:18,359 --> 00:18:21,160 Speaker 1: we could just speak our thoughts into another person's head directly, 306 00:18:21,680 --> 00:18:24,919 Speaker 1: and that we sort of undid that. That's strange to me, right, 307 00:18:25,119 --> 00:18:27,800 Speaker 1: that it's like now I can do instant telegrams to 308 00:18:27,920 --> 00:18:33,320 Speaker 1: a person's pocket and telegram station. Yeah fuck no, Yeah, 309 00:18:33,359 --> 00:18:35,719 Speaker 1: I definitely see like there is I don't know if 310 00:18:35,760 --> 00:18:38,119 Speaker 1: it's generation. I think because like as it for me 311 00:18:38,359 --> 00:18:41,320 Speaker 1: is like a teenager or whatever, talking on the fucking 312 00:18:41,560 --> 00:18:44,840 Speaker 1: land line was my blood, you know what I mean. 313 00:18:44,880 --> 00:18:48,399 Speaker 1: There's no other way to communicate. I mean, there was 314 00:18:48,480 --> 00:18:50,200 Speaker 1: a I M and ship like that, but the phone 315 00:18:50,320 --> 00:18:52,240 Speaker 1: was like the next level because you could you could 316 00:18:52,280 --> 00:18:55,080 Speaker 1: just leave the line open. You're both watching the TV show, 317 00:18:55,200 --> 00:18:58,080 Speaker 1: not talking for fucking thirty minutes straight, doing your homework 318 00:18:58,119 --> 00:19:00,920 Speaker 1: and stuff like that. And I so I think part 319 00:19:00,960 --> 00:19:03,080 Speaker 1: of me, I still I still have a love for 320 00:19:03,200 --> 00:19:06,880 Speaker 1: those times, so I definitely, you know, I don't understand 321 00:19:06,920 --> 00:19:08,600 Speaker 1: the hate for the phone. I guess if it's like 322 00:19:09,200 --> 00:19:12,520 Speaker 1: for work or something, maybe that's right. But other than that, 323 00:19:12,840 --> 00:19:15,639 Speaker 1: come on now, yeah, yeah, I mean you lose so 324 00:19:15,800 --> 00:19:19,240 Speaker 1: much via over text. Like there's been studies that found that, 325 00:19:19,560 --> 00:19:22,480 Speaker 1: you know, emails, just don't try to fucking tell a 326 00:19:22,560 --> 00:19:25,720 Speaker 1: joke and work email because you are going to fail. 327 00:19:25,840 --> 00:19:28,720 Speaker 1: People are not going to get it right. You guys 328 00:19:28,760 --> 00:19:30,960 Speaker 1: are right to kind of compare to telegrams. I read 329 00:19:31,119 --> 00:19:33,560 Speaker 1: every text that I received in the voice of a 330 00:19:33,680 --> 00:19:37,560 Speaker 1: wistful Civil War soldier writing home, like in a Ken 331 00:19:37,600 --> 00:19:41,240 Speaker 1: Burns documentary, So that that's just how my brain works. 332 00:19:41,560 --> 00:19:44,840 Speaker 1: And you say stopped too, I think, yes, I do. Yeah, 333 00:19:44,960 --> 00:19:47,000 Speaker 1: well what else? How else do I read the periods 334 00:19:47,040 --> 00:19:52,879 Speaker 1: out louck? Yeah, yeah, I agree, I'm on board. But 335 00:19:53,200 --> 00:19:57,000 Speaker 1: you know, this gen Z audience of ours is Terry 336 00:19:57,040 --> 00:20:00,480 Speaker 1: a new one, buddy, there's only three p in the world. 337 00:20:00,520 --> 00:20:03,120 Speaker 1: It'll still talk to me on the phone, right yeah, 338 00:20:03,280 --> 00:20:05,920 Speaker 1: so yeah, which is also funny when I think about it, 339 00:20:06,040 --> 00:20:07,879 Speaker 1: Like of the people and I'm like, I call him 340 00:20:07,920 --> 00:20:10,800 Speaker 1: like it's the same ten people. Yeah, you know, that's 341 00:20:10,840 --> 00:20:13,119 Speaker 1: another level though of like friendship though too, Like are 342 00:20:13,160 --> 00:20:16,760 Speaker 1: you in the phone zone, because that's like when you 343 00:20:16,880 --> 00:20:19,000 Speaker 1: know you're like I have to call this person, I 344 00:20:19,119 --> 00:20:23,240 Speaker 1: have to talk to them voice to voice. Yeah, man, 345 00:20:23,280 --> 00:20:27,240 Speaker 1: I'm stuck in the phone zone with this one guy. Sucks. 346 00:20:27,359 --> 00:20:32,000 Speaker 1: Manus just get me to the text zone already. Yeah, 347 00:20:32,520 --> 00:20:34,880 Speaker 1: do you guys, Like when do you fit in your 348 00:20:35,119 --> 00:20:37,879 Speaker 1: phone calls? Like, my wife is really good at like 349 00:20:37,960 --> 00:20:41,240 Speaker 1: staying in touch with people, my wife, and she'll like 350 00:20:41,400 --> 00:20:45,159 Speaker 1: call them when she's driving somewhere. Like she's just like 351 00:20:45,680 --> 00:20:47,919 Speaker 1: has a routine where she immediately like goes to her 352 00:20:47,960 --> 00:20:51,960 Speaker 1: phone whenever there is like a free moment where I 353 00:20:52,080 --> 00:20:55,320 Speaker 1: would be listening to a podcast. Essentially, she calls people, 354 00:20:55,760 --> 00:21:00,560 Speaker 1: right because podcast hosts are my friends and so that. Yeah, 355 00:21:00,720 --> 00:21:04,200 Speaker 1: I have paras social relationships, but I don't really have 356 00:21:04,400 --> 00:21:07,720 Speaker 1: a time for it. It usually happens on the weekends 357 00:21:07,920 --> 00:21:10,560 Speaker 1: for me, because like I'm I'll be like meandering and 358 00:21:10,640 --> 00:21:12,280 Speaker 1: I'll get a text and then I'm like, fuck it, 359 00:21:12,359 --> 00:21:14,440 Speaker 1: I just need a call to keep this thing going. 360 00:21:15,160 --> 00:21:18,280 Speaker 1: Or half the time I'll just call it because I'm 361 00:21:18,440 --> 00:21:20,399 Speaker 1: driving and I don't want to. I don't want to 362 00:21:20,440 --> 00:21:24,000 Speaker 1: continue a conversation over text. Wild It's more it's sometimes 363 00:21:24,040 --> 00:21:26,080 Speaker 1: just born out of safety more than like I gotta 364 00:21:26,080 --> 00:21:27,880 Speaker 1: talk to this person. I'm ya, I'm driving my let's 365 00:21:28,200 --> 00:21:30,280 Speaker 1: let's talk about this shop in the car. So I 366 00:21:30,280 --> 00:21:33,080 Speaker 1: don't have a routine, Eli, what buy you? Mind's usually driving, 367 00:21:33,440 --> 00:21:36,480 Speaker 1: that's kind of yeah, because it you know, Atlanta, I 368 00:21:36,520 --> 00:21:39,480 Speaker 1: think similarly to l a very car heavy city and 369 00:21:39,640 --> 00:21:43,320 Speaker 1: it takes half an hour to get anywhere. So yeah, yeah, 370 00:21:43,880 --> 00:21:47,160 Speaker 1: all my podcasts come while I'm cooking or cleaning. Mm hmm, 371 00:21:47,480 --> 00:21:50,040 Speaker 1: and then driving is driving his phone calls for the 372 00:21:50,080 --> 00:21:53,760 Speaker 1: phone Zone. Amazon would have a thing to say about that. 373 00:21:54,240 --> 00:21:57,800 Speaker 1: You'll get too later. All right, let's take a quick 374 00:21:57,840 --> 00:22:11,159 Speaker 1: break and we'll be right back. And we're back. And 375 00:22:11,960 --> 00:22:14,920 Speaker 1: so Donald Trump suing the New York Times and his 376 00:22:15,080 --> 00:22:19,640 Speaker 1: niece for a mere one million dollars because they published 377 00:22:19,680 --> 00:22:24,399 Speaker 1: that story about his taxes a while back. And I mean, 378 00:22:24,480 --> 00:22:29,440 Speaker 1: this is I'm guessing, since he is famous for assuing 379 00:22:29,520 --> 00:22:33,480 Speaker 1: people all the time and was the president at the time, 380 00:22:33,600 --> 00:22:37,680 Speaker 1: that that was probably a fairly bulletproof story in terms 381 00:22:37,720 --> 00:22:41,240 Speaker 1: of sourcing. But yeah, it's it's interesting to like kind 382 00:22:41,280 --> 00:22:44,480 Speaker 1: of hear the substance of the complaint. Yeah, because especially 383 00:22:44,520 --> 00:22:46,600 Speaker 1: when you know, like with reading this story, like oh wow, 384 00:22:46,720 --> 00:22:49,200 Speaker 1: this dude uses all kinds of tricks. Even though it 385 00:22:49,320 --> 00:22:51,800 Speaker 1: wasn't like there are certain years where people really wanted 386 00:22:51,840 --> 00:22:53,760 Speaker 1: to see everything. But what was clear is like, oh, 387 00:22:53,960 --> 00:22:56,439 Speaker 1: he likes to funk around with his taxes and how 388 00:22:56,560 --> 00:22:59,639 Speaker 1: he sort of claims losses and things like that. And 389 00:23:00,320 --> 00:23:03,320 Speaker 1: in this beginning of the legal complaint that he filed, 390 00:23:03,800 --> 00:23:07,040 Speaker 1: it's it's meant to sound like something more than these 391 00:23:07,080 --> 00:23:09,960 Speaker 1: were documents that his niece had and just shared with 392 00:23:10,000 --> 00:23:13,760 Speaker 1: The New York Times. Rather quote, the defendants engaged in 393 00:23:13,840 --> 00:23:17,960 Speaker 1: an insidious plot to obtain confidential and highly sensitive records, 394 00:23:18,200 --> 00:23:21,320 Speaker 1: which they exploited for their own benefit and utilized as 395 00:23:21,359 --> 00:23:25,359 Speaker 1: a means of falsely legitimizing their publicized works. The defendant's 396 00:23:25,359 --> 00:23:28,720 Speaker 1: actions were motivated by a personal vendetta and their desire 397 00:23:28,800 --> 00:23:33,000 Speaker 1: to gain fame, notoriety, acclaim and the financial windfall, and 398 00:23:33,119 --> 00:23:37,280 Speaker 1: were further intended to advance their political agenda. This is 399 00:23:37,440 --> 00:23:41,200 Speaker 1: the thing is he'sn't denying the authent like the authenticity 400 00:23:41,320 --> 00:23:44,040 Speaker 1: or the veracity of his claims. So finding this lawsuit 401 00:23:44,119 --> 00:23:47,879 Speaker 1: is more just like that's true. Yeah, this is like 402 00:23:48,000 --> 00:23:51,280 Speaker 1: the cheating boy This is the cheating boyfriend being like 403 00:23:51,520 --> 00:23:55,119 Speaker 1: he that you catch him and his his responses to 404 00:23:55,400 --> 00:23:58,080 Speaker 1: claim that the person who told you about it is 405 00:23:58,160 --> 00:24:02,359 Speaker 1: a hater, but like not not addressing the substance of 406 00:24:02,480 --> 00:24:04,840 Speaker 1: the of the actual Yeah right, Like, oh can you 407 00:24:04,960 --> 00:24:07,160 Speaker 1: it looks like you're cheating on your taxes. If you weren't, 408 00:24:07,160 --> 00:24:10,560 Speaker 1: you'd be like, I'm not. That's that's that's impossible. Who 409 00:24:10,600 --> 00:24:14,800 Speaker 1: told you that said? They're they fucking They just want 410 00:24:14,840 --> 00:24:18,520 Speaker 1: to take me down. They because I'm so cool. Yeah. 411 00:24:18,800 --> 00:24:22,960 Speaker 1: His His niece Mary Trump responded. She said, quote, I 412 00:24:23,040 --> 00:24:25,680 Speaker 1: think he's a fucking loser and he's going to throw 413 00:24:25,760 --> 00:24:28,960 Speaker 1: anything against the wall he can. It's desperation. The walls 414 00:24:29,000 --> 00:24:32,200 Speaker 1: are closing in. Anything against the wall that will stick. 415 00:24:32,400 --> 00:24:34,800 Speaker 1: As is always the case with Donald, he'll try and 416 00:24:34,960 --> 00:24:38,600 Speaker 1: change the subject. Amazing, And I think he's a fucking 417 00:24:38,720 --> 00:24:41,720 Speaker 1: loser And she's not like that. It's funny to look 418 00:24:41,800 --> 00:24:43,879 Speaker 1: think of her and me like he's a fucking loser 419 00:24:43,920 --> 00:24:49,920 Speaker 1: of my uncle. Fuck this guy. So that's uh, yeah, 420 00:24:50,000 --> 00:24:53,000 Speaker 1: that was not editorializing. She that was her quote. I 421 00:24:53,040 --> 00:24:55,919 Speaker 1: think he is a fucking loser, shout out to Mary Trump. 422 00:24:56,480 --> 00:24:57,879 Speaker 1: But yeah, at the end of the day, it's just 423 00:24:58,200 --> 00:25:01,239 Speaker 1: another case where this first you know, she she got 424 00:25:01,320 --> 00:25:04,440 Speaker 1: these documents because of a dispute over like her grandfather 425 00:25:04,680 --> 00:25:08,080 Speaker 1: and Donald's dad's like estate when he had passed or something, 426 00:25:08,680 --> 00:25:12,600 Speaker 1: so she had obtained these documents legally. Um, so like 427 00:25:12,760 --> 00:25:16,000 Speaker 1: everything about this is just like a hundred million Okay, 428 00:25:16,640 --> 00:25:19,480 Speaker 1: gets gets in the bill, Like she says, the walls 429 00:25:19,480 --> 00:25:22,080 Speaker 1: are closing in, although I'm I think we've yet to 430 00:25:22,119 --> 00:25:27,800 Speaker 1: see the walls actually closing phrase. Guys the area, Like 431 00:25:27,920 --> 00:25:30,919 Speaker 1: there are super cuts. I think I forget who did 432 00:25:31,000 --> 00:25:33,879 Speaker 1: the super cut of all the MSNBC journalists being like, 433 00:25:33,960 --> 00:25:35,879 Speaker 1: and the walls are closing in around Donald Trump. The 434 00:25:35,920 --> 00:25:39,639 Speaker 1: walls are closing in, and it's just never been true 435 00:25:39,800 --> 00:25:43,960 Speaker 1: or it is true. But he that is his like 436 00:25:44,119 --> 00:25:46,560 Speaker 1: part of his natural state is to have the walls 437 00:25:46,600 --> 00:25:50,240 Speaker 1: closing in around him. Like that's how he It's the 438 00:25:50,320 --> 00:25:52,960 Speaker 1: same way with like for every anyone else looking, the 439 00:25:53,040 --> 00:25:57,280 Speaker 1: walls closing in means he's going to prison or he 440 00:25:57,520 --> 00:26:00,200 Speaker 1: is going on trial and he will be in a 441 00:26:00,359 --> 00:26:03,520 Speaker 1: courtroom at in front of a jury or something like that. 442 00:26:04,000 --> 00:26:06,120 Speaker 1: That's what I think most people are like, that would 443 00:26:06,160 --> 00:26:09,040 Speaker 1: be the walls closing in. But everything is so incremental. 444 00:26:09,600 --> 00:26:11,600 Speaker 1: It's like the same thing where it's like they banned 445 00:26:11,680 --> 00:26:14,760 Speaker 1: choke holds, the lot the walls are closing in on 446 00:26:15,000 --> 00:26:18,200 Speaker 1: over policing. It's like, no, they're fucking not. But I 447 00:26:18,359 --> 00:26:21,159 Speaker 1: get maybe if your perspective is like it's this giant 448 00:26:21,320 --> 00:26:24,040 Speaker 1: room and they move an inch. Okay, the walls are 449 00:26:24,080 --> 00:26:27,760 Speaker 1: closing in on some level. M not in a satisfying 450 00:26:27,800 --> 00:26:31,359 Speaker 1: way though. As we talked about on yesterday's episode, the 451 00:26:31,880 --> 00:26:37,040 Speaker 1: Trump campaign knew like from the start that the claims 452 00:26:37,080 --> 00:26:40,359 Speaker 1: about election fraud were bullshit. What what we're learning that 453 00:26:40,760 --> 00:26:44,119 Speaker 1: his lawyers gave Mike Pence basically a six step guide 454 00:26:44,160 --> 00:26:49,359 Speaker 1: to rap fucking the election? Yeah, like, how how close 455 00:26:49,480 --> 00:26:52,520 Speaker 1: we actually checking in with Trump? Yeah? Part two and 456 00:26:52,640 --> 00:26:55,560 Speaker 1: then we'll check the funk out. But there's the whole 457 00:26:55,600 --> 00:26:57,440 Speaker 1: point of this seemed to just be like to do 458 00:26:57,640 --> 00:27:01,960 Speaker 1: a coup at light speed and just iron just proclaim 459 00:27:02,040 --> 00:27:04,800 Speaker 1: all this ship and then figure it out after um. 460 00:27:04,880 --> 00:27:08,520 Speaker 1: But this main point, step three was at the end 461 00:27:08,720 --> 00:27:11,440 Speaker 1: Pence announced this is from this legal memo that was 462 00:27:11,480 --> 00:27:16,520 Speaker 1: given him from John Eastman. Who is from the Federalist Society. Okay, 463 00:27:16,680 --> 00:27:19,160 Speaker 1: just so you can connect some dots to the people 464 00:27:19,200 --> 00:27:22,280 Speaker 1: who are suggesting how we packed the courts are also 465 00:27:22,359 --> 00:27:26,080 Speaker 1: giving sparks notes on how to fucking overthrow an election. 466 00:27:26,640 --> 00:27:29,399 Speaker 1: Step three. Quote at the end, Pence announces that because 467 00:27:29,440 --> 00:27:31,560 Speaker 1: of the ongoing disputes in the seven states, there are 468 00:27:31,600 --> 00:27:35,119 Speaker 1: no electors that can be deemed validly appointed in those states. 469 00:27:35,200 --> 00:27:37,280 Speaker 1: So the whole point was when they go, when he 470 00:27:37,359 --> 00:27:40,399 Speaker 1: was going to preside over that whole the certification, they 471 00:27:40,400 --> 00:27:44,840 Speaker 1: would keep up this idea that in states like Arizona, Pennsylvania, etcetera, 472 00:27:45,000 --> 00:27:47,480 Speaker 1: especially where people were like, we are the true electors 473 00:27:47,600 --> 00:27:49,920 Speaker 1: of this state, that they would sort of jump on 474 00:27:50,000 --> 00:27:53,159 Speaker 1: the back of that to say, like it's being completely disputed, 475 00:27:53,320 --> 00:27:55,280 Speaker 1: we don't know what to do with this, and then 476 00:27:55,440 --> 00:27:58,080 Speaker 1: essentially kick it to the Congress or kick it to 477 00:27:58,119 --> 00:28:02,000 Speaker 1: the House to then vote based on each state representing 478 00:28:02,200 --> 00:28:05,439 Speaker 1: like each each group of congress people or House members 479 00:28:05,560 --> 00:28:08,359 Speaker 1: representing their state to cast their vote, which would have 480 00:28:08,480 --> 00:28:10,960 Speaker 1: given Trump an edge if they had taken out those 481 00:28:11,000 --> 00:28:14,720 Speaker 1: other states. So it's just a very a very clear 482 00:28:14,880 --> 00:28:17,119 Speaker 1: plan that they had, and the whole thing was that 483 00:28:17,240 --> 00:28:20,359 Speaker 1: they said, while the military might not have acted as 484 00:28:20,440 --> 00:28:23,520 Speaker 1: quickly because a lot of politicians would have been like, 485 00:28:23,600 --> 00:28:27,320 Speaker 1: this is absolute horseshit. They were counting on possible violence 486 00:28:27,400 --> 00:28:31,960 Speaker 1: breaking out the police because they are down with MAGA 487 00:28:32,680 --> 00:28:35,680 Speaker 1: being the enforcers or trying to quell a lot of 488 00:28:35,760 --> 00:28:39,200 Speaker 1: this stuff, and then using that to declare martial law possibly, 489 00:28:39,680 --> 00:28:42,800 Speaker 1: so they had it. They were really thinking this entire 490 00:28:43,200 --> 00:28:45,560 Speaker 1: fucking thing out, like how to do it. While it's 491 00:28:45,600 --> 00:28:49,920 Speaker 1: completely chaotic and inelegant and wouldn't hold up considering all 492 00:28:49,960 --> 00:28:52,440 Speaker 1: the lawsuits that they lost on the way there, they 493 00:28:52,520 --> 00:28:54,880 Speaker 1: were still willing to just to go there to bring 494 00:28:55,160 --> 00:28:59,160 Speaker 1: the country to that point. This is the exact scenario. 495 00:28:59,360 --> 00:29:03,360 Speaker 1: There's a radio Lab episode probably like six to eight 496 00:29:03,480 --> 00:29:08,040 Speaker 1: months before the election, and this is the exact scenario 497 00:29:08,200 --> 00:29:10,360 Speaker 1: they laid out that we talked about on this show. 498 00:29:10,920 --> 00:29:13,680 Speaker 1: That like it's almost like they heard that and we're like, oh, 499 00:29:13,960 --> 00:29:17,640 Speaker 1: good idea, Like that they would invalidate the chunk of 500 00:29:17,680 --> 00:29:21,440 Speaker 1: the states. They would get people like rising up and 501 00:29:22,080 --> 00:29:24,840 Speaker 1: you know, doing violence, and then what would just be 502 00:29:24,920 --> 00:29:26,600 Speaker 1: like too close to call, guys, We're just gonna have 503 00:29:26,720 --> 00:29:30,280 Speaker 1: to x those out and look at what's left and 504 00:29:30,840 --> 00:29:36,280 Speaker 1: look at that two thirty two. Wow, we did it. 505 00:29:36,840 --> 00:29:39,960 Speaker 1: So it's amazing the behind the scenes effort that's always 506 00:29:40,000 --> 00:29:42,040 Speaker 1: going on here as opposed to Trump himself. Like I 507 00:29:42,200 --> 00:29:45,680 Speaker 1: I always imagine in these scenarios like Trump dozing off 508 00:29:45,720 --> 00:29:49,360 Speaker 1: around step two as they're trying to get to him. Yeah, 509 00:29:49,560 --> 00:29:51,760 Speaker 1: and just being ushered into whatever room they need him in. 510 00:29:51,840 --> 00:29:54,600 Speaker 1: Here you go, you're in charge again. They did a 511 00:29:54,640 --> 00:29:58,200 Speaker 1: condensed version for him with step one. You win. That's it, 512 00:29:58,440 --> 00:30:03,240 Speaker 1: one step plan, Mr President. Love it gout. But I 513 00:30:03,280 --> 00:30:07,640 Speaker 1: think this is one of those things too where Americans especially, 514 00:30:07,920 --> 00:30:11,920 Speaker 1: we talk about how we are constantly, you know, just 515 00:30:12,080 --> 00:30:16,040 Speaker 1: in a fucking round phase and always reacting when we 516 00:30:16,160 --> 00:30:20,880 Speaker 1: found out that this is another instance where the fascism 517 00:30:21,040 --> 00:30:24,480 Speaker 1: is basically taking over the Republican Party. So there's a 518 00:30:24,680 --> 00:30:28,640 Speaker 1: there's an entire political party that is invested in fascism 519 00:30:28,960 --> 00:30:32,560 Speaker 1: and willing to go any length to stay in power, 520 00:30:32,880 --> 00:30:36,200 Speaker 1: but like quite literally through any fucking means, and like 521 00:30:36,400 --> 00:30:39,840 Speaker 1: the laws and you know, the practices of this country 522 00:30:39,920 --> 00:30:43,480 Speaker 1: be damned, and we still have Democrats who want to 523 00:30:43,560 --> 00:30:48,960 Speaker 1: play like this bipartisan ship without really acknowledging these people 524 00:30:49,120 --> 00:30:52,640 Speaker 1: don't give a fuck. They they have. They were looking 525 00:30:52,760 --> 00:30:55,560 Speaker 1: at their their fucking notes to each other being like, 526 00:30:55,840 --> 00:30:58,760 Speaker 1: this is how we steal an election we lost And 527 00:30:58,840 --> 00:31:01,760 Speaker 1: if you want to then act like, well, we gotta 528 00:31:01,800 --> 00:31:04,880 Speaker 1: see if the filipbuster, I mean, that could be really bad. 529 00:31:05,520 --> 00:31:07,880 Speaker 1: What do you fucking thing's gonna happen if they steal it, 530 00:31:08,000 --> 00:31:10,440 Speaker 1: they actually steal a fucking election. It's like, you're not 531 00:31:10,440 --> 00:31:13,560 Speaker 1: gonna have any fucking recourse. It's just gonna be they'll 532 00:31:13,600 --> 00:31:15,760 Speaker 1: just throw you in jail or some ship, because this 533 00:31:15,960 --> 00:31:17,760 Speaker 1: is gonna be, Like you can tell by the way 534 00:31:17,760 --> 00:31:19,600 Speaker 1: they want to meddle with education and things like that. 535 00:31:19,680 --> 00:31:21,560 Speaker 1: They're trying to create a system where people don't ask 536 00:31:21,640 --> 00:31:23,960 Speaker 1: questions and they go along with ship. And if you do, 537 00:31:24,480 --> 00:31:28,200 Speaker 1: that's it's it's a problem for you. Yeah, and the 538 00:31:28,520 --> 00:31:33,000 Speaker 1: Federalist Society again has many members on the Supreme Court, 539 00:31:33,120 --> 00:31:36,520 Speaker 1: so it's not that's not just in Congress that this 540 00:31:36,720 --> 00:31:41,040 Speaker 1: is happening there. They're closer than I think any sort 541 00:31:41,080 --> 00:31:45,160 Speaker 1: of mainstream media outlet acknowledges. Yeah, and no one's I 542 00:31:45,200 --> 00:31:47,680 Speaker 1: don't think many people are. I don't know. At least 543 00:31:47,840 --> 00:31:50,440 Speaker 1: when this memo story came out, not many people were 544 00:31:50,720 --> 00:31:53,560 Speaker 1: connecting the dots of John Eastman and the Federals, the 545 00:31:53,680 --> 00:31:57,520 Speaker 1: Federalist Society because because again I think, because it's such 546 00:31:57,520 --> 00:32:00,280 Speaker 1: a powerful institution in the belt Way, it like it. 547 00:32:00,640 --> 00:32:03,479 Speaker 1: I guess for people inside, they weren't as making as 548 00:32:03,520 --> 00:32:05,000 Speaker 1: big of a stink about it. I see. So I 549 00:32:05,080 --> 00:32:07,840 Speaker 1: see more stories now. But it's just wild how how 550 00:32:07,920 --> 00:32:09,600 Speaker 1: long it takes for people to be like, we'll hold 551 00:32:09,680 --> 00:32:12,720 Speaker 1: on and look who's telling him the person who's who's 552 00:32:12,760 --> 00:32:16,160 Speaker 1: part of an organization that is like constantly thinking of 553 00:32:16,200 --> 00:32:21,640 Speaker 1: how to realign or judicial system. Yeah, and it's I 554 00:32:22,040 --> 00:32:26,440 Speaker 1: feel like there's probably an instinct in the sort of 555 00:32:26,520 --> 00:32:28,880 Speaker 1: centrist mainstream media to be like, well, those are the 556 00:32:29,160 --> 00:32:32,680 Speaker 1: like Trumpists, but like they kind of put these characters 557 00:32:32,760 --> 00:32:35,560 Speaker 1: in separate categories, Like there's the McConnell's, who are like 558 00:32:36,120 --> 00:32:39,960 Speaker 1: standard Republicans, and then they're the Trumpets, and like only 559 00:32:40,080 --> 00:32:42,200 Speaker 1: John Eastman's over on the side of the Trumpets, so 560 00:32:42,440 --> 00:32:45,920 Speaker 1: like he like shouldn't be lumped in with the Federal Society, 561 00:32:45,960 --> 00:32:48,400 Speaker 1: shouldn't be lumped in with him, But like we got 562 00:32:48,520 --> 00:32:53,400 Speaker 1: to Trump because of just unbelievable fucking rot in the 563 00:32:53,480 --> 00:32:56,480 Speaker 1: original Republican Party. Like before he came in and just 564 00:32:56,800 --> 00:33:00,400 Speaker 1: swept it up. Like that's they're all kind of on 565 00:33:00,520 --> 00:33:04,240 Speaker 1: a continuum, ready to just do whatever it takes to 566 00:33:04,280 --> 00:33:07,000 Speaker 1: stay in power. And I think, like you said, Minels, 567 00:33:07,040 --> 00:33:10,040 Speaker 1: just the total lack of opposition that they're facing. Two 568 00:33:10,240 --> 00:33:13,520 Speaker 1: people on the left, you are saying, oh yeah, bipartisanship 569 00:33:13,960 --> 00:33:16,080 Speaker 1: that still exists, even though it's a one way street, 570 00:33:16,600 --> 00:33:20,760 Speaker 1: which is, you know, completely counter what bipartisan is. Right, 571 00:33:21,200 --> 00:33:24,960 Speaker 1: It's like it's like playing fucking like blackjack with someone 572 00:33:25,200 --> 00:33:27,760 Speaker 1: and like there you catch them cheating all the time, 573 00:33:28,160 --> 00:33:29,640 Speaker 1: and you're like, all right, let's play a big one. 574 00:33:29,720 --> 00:33:32,600 Speaker 1: Let's do this for a million dollars right now, and 575 00:33:32,680 --> 00:33:36,320 Speaker 1: you're like okay, and everyone was like, okay, they fucking cheat, 576 00:33:36,360 --> 00:33:38,680 Speaker 1: you idiot, don't get involved with them, or if you are, 577 00:33:39,240 --> 00:33:41,920 Speaker 1: fucking make sure this ship is level, because this this 578 00:33:42,480 --> 00:33:45,120 Speaker 1: the person you are dealing with, has made it clear 579 00:33:45,320 --> 00:33:47,760 Speaker 1: how they're willing to get there. And not to say, 580 00:33:47,880 --> 00:33:49,600 Speaker 1: you know, and I'm not trying to say that the 581 00:33:50,200 --> 00:33:53,880 Speaker 1: Democrats are above any kind of criticism, but in this instance, 582 00:33:54,000 --> 00:33:58,120 Speaker 1: like comparatively, they need to, like you know, they actually 583 00:33:58,240 --> 00:34:02,960 Speaker 1: need to figure out how to protect this shitty system 584 00:34:03,000 --> 00:34:05,240 Speaker 1: that we have or I guess maybe it just plays 585 00:34:05,320 --> 00:34:07,840 Speaker 1: out and you know, Americans are going to find themselves 586 00:34:07,880 --> 00:34:10,480 Speaker 1: in a place where they have to not they found 587 00:34:10,520 --> 00:34:14,080 Speaker 1: out right and now it's too late. But I think 588 00:34:14,200 --> 00:34:16,719 Speaker 1: this is one of those things like to be in 589 00:34:16,800 --> 00:34:19,800 Speaker 1: a fantasy world about what you know, just because it 590 00:34:19,880 --> 00:34:22,520 Speaker 1: didn't it wasn't successful, it doesn't mean it's still an 591 00:34:22,640 --> 00:34:25,719 Speaker 1: ongoing threat. And just because that rally was a total 592 00:34:25,920 --> 00:34:29,279 Speaker 1: wet fart last weekend for the Justice for the j 593 00:34:29,520 --> 00:34:33,160 Speaker 1: six people, they're moving into different spaces now. They don't 594 00:34:33,239 --> 00:34:36,120 Speaker 1: need to do this sort of like public display of 595 00:34:36,320 --> 00:34:39,280 Speaker 1: like allegiance type stuff there. Look at the school boards, 596 00:34:39,480 --> 00:34:42,960 Speaker 1: look at these other local offices, look at the electoral 597 00:34:43,080 --> 00:34:45,719 Speaker 1: boards that they're trying to infiltrate in all kinds of 598 00:34:45,800 --> 00:34:47,920 Speaker 1: red states. But it's a different game, and I think 599 00:34:47,960 --> 00:34:49,920 Speaker 1: the focus needs to actually be on those kinds of 600 00:34:50,000 --> 00:34:53,200 Speaker 1: things rather than like they've only got a hundred people 601 00:34:53,280 --> 00:34:55,520 Speaker 1: to show up for this, like yeah, well they're doing 602 00:34:55,600 --> 00:34:58,839 Speaker 1: stuff on every and every every other channel. They're trying 603 00:34:58,880 --> 00:35:01,400 Speaker 1: to figure out how to, you know, ensure that if 604 00:35:01,440 --> 00:35:03,960 Speaker 1: they want to overthrow an election, willing people are in 605 00:35:04,120 --> 00:35:07,919 Speaker 1: those positions to do it. Yeah, I think that also 606 00:35:08,000 --> 00:35:11,279 Speaker 1: established democrats find that they have more success when they're 607 00:35:11,320 --> 00:35:14,359 Speaker 1: on the defense. So they can't wipe these guys out 608 00:35:14,480 --> 00:35:17,680 Speaker 1: because then they've got nothing to push back about. Well, yeah, 609 00:35:17,680 --> 00:35:21,400 Speaker 1: because then they'd have to fix things. Yeah, exactly. It's 610 00:35:21,520 --> 00:35:24,400 Speaker 1: it's always the best excuse to not fix things, to 611 00:35:24,440 --> 00:35:27,319 Speaker 1: be like, well, these other guys, yeah, because if they 612 00:35:27,400 --> 00:35:30,560 Speaker 1: were here, I would Okay, well, then do it, well, 613 00:35:31,320 --> 00:35:35,760 Speaker 1: the philip you see, let me shut up. Yeah, alright, 614 00:35:35,880 --> 00:35:41,319 Speaker 1: let's flush our systems with a nice story of down 615 00:35:41,440 --> 00:35:45,920 Speaker 1: home activism succeeding. You know, last summer, there were a 616 00:35:45,960 --> 00:35:49,360 Speaker 1: lot of organizations and schools circulating lists of suggested books 617 00:35:49,400 --> 00:35:54,040 Speaker 1: and other materials to help broaden people's perspective on race 618 00:35:54,120 --> 00:35:58,759 Speaker 1: and white supremacy. You know, not so anyway, like not 619 00:35:58,880 --> 00:36:01,400 Speaker 1: all of them are done in good faith. That's probably 620 00:36:01,640 --> 00:36:04,680 Speaker 1: we can discuss that another time. But in New York, Pennsylvania, 621 00:36:05,120 --> 00:36:08,080 Speaker 1: their school district's diversity committee released a list of all 622 00:36:08,160 --> 00:36:10,440 Speaker 1: kinds of great stuff for students, teachers, and parents to 623 00:36:10,520 --> 00:36:16,680 Speaker 1: check out, and like clockwork, concerned parents stepped in. They 624 00:36:16,760 --> 00:36:22,000 Speaker 1: couldn't process the demographic changes in their community, decided that 625 00:36:22,080 --> 00:36:25,560 Speaker 1: the reason that their community was less white was because 626 00:36:25,680 --> 00:36:30,040 Speaker 1: kids are reading books about American anti black racism. That 627 00:36:30,080 --> 00:36:32,640 Speaker 1: seems to logic, at least that's the logic I've seen it, like, well, 628 00:36:32,800 --> 00:36:35,719 Speaker 1: this is causing more racient huh, but what are you 629 00:36:35,760 --> 00:36:38,840 Speaker 1: talking about? The comments at these school board meetings and 630 00:36:38,880 --> 00:36:41,960 Speaker 1: this is sort of pre the full blown critical race 631 00:36:42,040 --> 00:36:45,080 Speaker 1: theory screaming matches like this. This this happened like sort 632 00:36:45,080 --> 00:36:47,160 Speaker 1: of on the heels of the summer of last year. 633 00:36:47,640 --> 00:36:49,800 Speaker 1: Parents were saying the same stuff, this is racist against 634 00:36:49,840 --> 00:36:52,480 Speaker 1: white people. Like there was like a children's book that 635 00:36:52,600 --> 00:36:54,640 Speaker 1: was like about Rosa Parks and it was like the 636 00:36:54,760 --> 00:36:57,440 Speaker 1: most children's book I've ever seen, Like, I can't I 637 00:36:57,560 --> 00:37:00,719 Speaker 1: kid reading this and then feeling guilty that they're white. No, 638 00:37:01,520 --> 00:37:03,319 Speaker 1: and I can tell that this book is what it's 639 00:37:03,600 --> 00:37:06,080 Speaker 1: what it's gonna say, rather than like, you know, being 640 00:37:06,120 --> 00:37:09,120 Speaker 1: about a kid's book that's humanizing all children and being 641 00:37:09,160 --> 00:37:14,200 Speaker 1: like there's nothing fucking different. So, because of all this outrage, 642 00:37:14,640 --> 00:37:18,719 Speaker 1: the school board banned the materials, or rather they said 643 00:37:18,760 --> 00:37:22,000 Speaker 1: they're putting a freeze on the list until they had 644 00:37:22,080 --> 00:37:24,200 Speaker 1: time to review it because they don't like the word band. 645 00:37:24,880 --> 00:37:26,840 Speaker 1: So the great thing is that the kids at this 646 00:37:26,920 --> 00:37:30,160 Speaker 1: high school. They didn't let that stop them from educating themselves, 647 00:37:30,719 --> 00:37:34,200 Speaker 1: and they certainly didn't appreciate the sort of like unilateral 648 00:37:34,320 --> 00:37:36,759 Speaker 1: nature of these like books and articles and stuff just 649 00:37:36,840 --> 00:37:41,520 Speaker 1: being restricted, so they started protesting daily. It started off 650 00:37:41,600 --> 00:37:43,440 Speaker 1: with like a couple of kids, and then it grew 651 00:37:43,520 --> 00:37:48,880 Speaker 1: into like the hundreds, and they eventually created the Panther 652 00:37:49,200 --> 00:37:53,160 Speaker 1: I think Anti Racism Union student Union and there I 653 00:37:53,200 --> 00:37:55,640 Speaker 1: think their mascots called the Panthers. But you know again 654 00:37:55,800 --> 00:37:59,600 Speaker 1: that you love to see it. The great coincidence scare 655 00:37:59,680 --> 00:38:04,440 Speaker 1: the ship get out of Their parents were like pathers no, 656 00:38:05,480 --> 00:38:08,319 Speaker 1: so they their voices were eventually heard. They were able 657 00:38:08,400 --> 00:38:10,719 Speaker 1: to go to a school board meeting to like sort 658 00:38:10,719 --> 00:38:13,200 Speaker 1: of speak up on what they thought. And this one student, 659 00:38:13,320 --> 00:38:17,520 Speaker 1: Eta Gupta said, our thoughts are being invalidated. There's only 660 00:38:17,640 --> 00:38:20,520 Speaker 1: one portion of the community that this band represents and 661 00:38:20,640 --> 00:38:24,560 Speaker 1: it's not ours. Yeah, and like it kicked off like 662 00:38:24,600 --> 00:38:28,759 Speaker 1: a whole like domino effect of of support because they 663 00:38:28,800 --> 00:38:32,160 Speaker 1: were so vocal, Like parents sort of were like damn okay, 664 00:38:32,320 --> 00:38:35,399 Speaker 1: Like I guess I should if if the students also care, 665 00:38:35,480 --> 00:38:37,840 Speaker 1: Like there's ways for me to also get involved. The 666 00:38:38,200 --> 00:38:41,200 Speaker 1: like the band, books thing ended up with the one 667 00:38:41,239 --> 00:38:43,239 Speaker 1: of the authors of some of the books, this guy, 668 00:38:43,320 --> 00:38:46,320 Speaker 1: Brad Meltzer. He came up to give comment, like the 669 00:38:46,480 --> 00:38:48,560 Speaker 1: library said, like, you know what, we don't care what 670 00:38:48,680 --> 00:38:50,640 Speaker 1: the band is like, we will fully stock all of 671 00:38:50,760 --> 00:38:54,240 Speaker 1: these books and make them widely available. And then on Monday, 672 00:38:54,719 --> 00:38:59,960 Speaker 1: this school board unanimously voted to unfreeze or whatever, unrestricted 673 00:39:00,080 --> 00:39:02,960 Speaker 1: whatever words they want to use those books and articles 674 00:39:03,000 --> 00:39:05,880 Speaker 1: and documentaries. However, though along the way, they were like 675 00:39:06,000 --> 00:39:09,719 Speaker 1: mumbling stuff about socialism and like communism, even though nance well, 676 00:39:09,719 --> 00:39:12,800 Speaker 1: you know, because communism obviously like we gotta keep it anyway, 677 00:39:12,920 --> 00:39:18,880 Speaker 1: finemus communism, the famous communist principle of doing what the 678 00:39:18,960 --> 00:39:24,880 Speaker 1: majority of people want to do. Yeah, that's that's awesome, 679 00:39:25,200 --> 00:39:29,120 Speaker 1: That's very encouraging. I do keep coming back to this 680 00:39:29,280 --> 00:39:34,359 Speaker 1: idea that people are like pointing to, how like nationally unpopular, 681 00:39:34,760 --> 00:39:39,040 Speaker 1: like some of this ship is, and like that, like, yeah, 682 00:39:39,120 --> 00:39:43,959 Speaker 1: the majority of people want like recognize that racism is wrong. 683 00:39:44,280 --> 00:39:47,000 Speaker 1: And for some reason just popped into my head as 684 00:39:47,080 --> 00:39:49,680 Speaker 1: we're doing this story. I think it was like my 685 00:39:49,880 --> 00:39:53,320 Speaker 1: inner barometer was like this is getting too encouraging, so 686 00:39:53,440 --> 00:39:58,040 Speaker 1: I have to put something depressing in here that Nazism 687 00:39:58,239 --> 00:40:01,360 Speaker 1: was very unpopular, you as, it was told in the 688 00:40:01,520 --> 00:40:05,880 Speaker 1: thirties for decades. Uh and and then they like below 689 00:40:06,040 --> 00:40:07,960 Speaker 1: the thirties and then they swept to power. They never 690 00:40:08,040 --> 00:40:10,920 Speaker 1: won a popular election. So you know, as long as 691 00:40:11,440 --> 00:40:14,840 Speaker 1: this is hanging around, as long as they are trying 692 00:40:14,920 --> 00:40:19,440 Speaker 1: to silence people who are telling the truth, you know, 693 00:40:19,600 --> 00:40:22,360 Speaker 1: we we can't be safe unless we're you know, constantly 694 00:40:22,400 --> 00:40:25,520 Speaker 1: fighting this ship. Like these kids did it. It's I mean, 695 00:40:25,560 --> 00:40:27,879 Speaker 1: it's like we said earlier, the established power just coming 696 00:40:27,920 --> 00:40:29,960 Speaker 1: in and saying, well, this is what this is what 697 00:40:30,080 --> 00:40:33,920 Speaker 1: people want, and uh, you know then that not reflecting 698 00:40:34,440 --> 00:40:37,279 Speaker 1: those opinions at all. Yeah. Well, one of their high 699 00:40:37,280 --> 00:40:39,640 Speaker 1: school teachers like sort of gave this comedies like, man, 700 00:40:39,719 --> 00:40:42,239 Speaker 1: these kids are like heroes, like you know, like I 701 00:40:42,320 --> 00:40:44,600 Speaker 1: can't believe like the effort they put into this, and 702 00:40:44,680 --> 00:40:47,400 Speaker 1: they that's like everything they did is commendable. But then 703 00:40:47,560 --> 00:40:50,440 Speaker 1: you know, it's just sort of like this idea that 704 00:40:50,600 --> 00:40:52,440 Speaker 1: he was sort of pointing out is like, you know, 705 00:40:52,800 --> 00:40:56,600 Speaker 1: most Americans and school children and most parents they support 706 00:40:56,719 --> 00:41:01,000 Speaker 1: this kind of educational material for their kids and and 707 00:41:01,239 --> 00:41:04,200 Speaker 1: they know that it's actually unfortunately it's part of American history, 708 00:41:04,560 --> 00:41:07,320 Speaker 1: but it must be taught, so it's just like a 709 00:41:07,440 --> 00:41:11,120 Speaker 1: good a feel good story in that sense. But I 710 00:41:11,200 --> 00:41:13,280 Speaker 1: think also, like to your point about like Nazis and stuff, 711 00:41:13,320 --> 00:41:16,000 Speaker 1: I think kids now are just on people now they 712 00:41:16,120 --> 00:41:19,279 Speaker 1: have an ear for dog whistles, Like where before the 713 00:41:19,400 --> 00:41:22,279 Speaker 1: dog whistle only resonated with the dogs you were trying 714 00:41:22,320 --> 00:41:24,040 Speaker 1: to get whose attention you were trying to get, because 715 00:41:24,040 --> 00:41:26,120 Speaker 1: it wasn't resonating at that frequency for you to be 716 00:41:26,200 --> 00:41:28,600 Speaker 1: aware of. And I think so many more people now 717 00:41:29,760 --> 00:41:31,720 Speaker 1: you know, and and in some cases to an extreme, 718 00:41:32,160 --> 00:41:34,799 Speaker 1: can be like can just sort of parse through things 719 00:41:34,840 --> 00:41:37,800 Speaker 1: and understand like what's happening. And I think that's probably 720 00:41:37,920 --> 00:41:40,160 Speaker 1: the best defense that we have, is that people just 721 00:41:40,440 --> 00:41:44,200 Speaker 1: general awareness of like what discrimination looks like in most 722 00:41:44,239 --> 00:41:46,440 Speaker 1: of its forms. That it's like hard to sort of 723 00:41:46,520 --> 00:41:49,320 Speaker 1: like give it like a very you know, innocuous or 724 00:41:49,320 --> 00:41:52,080 Speaker 1: euphemistic name of a bill or something and hope that 725 00:41:52,400 --> 00:41:56,400 Speaker 1: no one notices. Right. I'm so blown away by the 726 00:41:56,560 --> 00:42:00,880 Speaker 1: the idea that learning about racist his Torea is going 727 00:42:00,920 --> 00:42:03,680 Speaker 1: to make people feel guilty, Like it might be my 728 00:42:03,800 --> 00:42:06,960 Speaker 1: ego talking, but I'm like, I read about horrible racist 729 00:42:07,000 --> 00:42:08,600 Speaker 1: white people in the past. I'm like, oh, thank god, 730 00:42:08,640 --> 00:42:11,520 Speaker 1: I'm not like them. You know, it makes me kind 731 00:42:11,520 --> 00:42:15,759 Speaker 1: of feel better about myself right away. They're good, there's 732 00:42:15,760 --> 00:42:20,839 Speaker 1: a baseline at least, okay, doing better, better average, all right, 733 00:42:20,960 --> 00:42:24,920 Speaker 1: I'm yeah, I'm not Nathaniel Bedford Forest. That's a start. 734 00:42:26,640 --> 00:42:29,600 Speaker 1: We just like about this guy, uh, Governor Morris. We 735 00:42:29,719 --> 00:42:32,160 Speaker 1: did an episode about him, and he was this very 736 00:42:32,520 --> 00:42:36,320 Speaker 1: very anti slavery founding father that we'd never heard of before. 737 00:42:37,000 --> 00:42:39,439 Speaker 1: And you know, we're my wife and I talking about 738 00:42:39,440 --> 00:42:41,960 Speaker 1: our public education and not having been taught about this 739 00:42:42,040 --> 00:42:45,719 Speaker 1: guy and wondering why he was so buried, and you know, 740 00:42:45,800 --> 00:42:48,239 Speaker 1: it's like because he makes everybody else look bad. But 741 00:42:48,400 --> 00:42:51,319 Speaker 1: I think in not studying these things, we also lose 742 00:42:51,400 --> 00:42:53,520 Speaker 1: out on learning about cool people like that who were 743 00:42:53,560 --> 00:42:56,600 Speaker 1: doing the right thing, right that there was someone standing 744 00:42:56,719 --> 00:42:59,759 Speaker 1: up to them during the founding of the country because 745 00:42:59,800 --> 00:43:01,960 Speaker 1: we four you thought it was that he we love 746 00:43:02,000 --> 00:43:06,000 Speaker 1: America signed by And also like the way you're taught history. 747 00:43:06,880 --> 00:43:09,640 Speaker 1: I remember I like, when I was very young, I 748 00:43:09,760 --> 00:43:14,000 Speaker 1: didn't think slavery existed until the Civil War, right right? 749 00:43:14,400 --> 00:43:15,759 Speaker 1: You know what I mean? Like that it was like 750 00:43:15,840 --> 00:43:18,200 Speaker 1: a like it became a problem and like there weren't 751 00:43:18,200 --> 00:43:23,480 Speaker 1: slaves during the their Wait what okay, I didn't realize that. 752 00:43:23,480 --> 00:43:26,480 Speaker 1: I mean, like, so it's funny how even how like 753 00:43:26,600 --> 00:43:29,040 Speaker 1: when slavery is even introduced to school kids, like in 754 00:43:29,080 --> 00:43:31,640 Speaker 1: a textbook, it's almost like it's almost treating it in 755 00:43:31,680 --> 00:43:33,480 Speaker 1: a vacuum. It's like, and then there was a civil 756 00:43:33,520 --> 00:43:38,279 Speaker 1: war because slavery happened that one day. Yeah, yeah, they 757 00:43:38,320 --> 00:43:41,600 Speaker 1: were trying to do a slavery and they the good 758 00:43:41,640 --> 00:43:44,359 Speaker 1: guys fought them off, like the Avengers and one right, 759 00:43:45,080 --> 00:43:46,800 Speaker 1: and they'll they'll tell you, well, it was the times. 760 00:43:46,920 --> 00:43:49,239 Speaker 1: That's how people just were. They didn't know any better. 761 00:43:49,719 --> 00:43:51,440 Speaker 1: And then you learn that all these people did know 762 00:43:51,560 --> 00:43:54,360 Speaker 1: better and said, hey, this is bad, and Thomas Jefferson 763 00:43:54,440 --> 00:43:58,239 Speaker 1: and everyone said no to that. So yeah, very clear 764 00:43:58,480 --> 00:44:01,520 Speaker 1: that wasn't a scene in the Hamilton, wasn't They left 765 00:44:01,560 --> 00:44:05,440 Speaker 1: that one out? Hey, y'all trip it about slavery, yuh right, 766 00:44:05,560 --> 00:44:11,640 Speaker 1: Like like they literally leave it unspoken. He's like, we 767 00:44:11,800 --> 00:44:16,919 Speaker 1: know who's doing the planting. It's just like, oh, that's 768 00:44:16,920 --> 00:44:21,960 Speaker 1: actually not good enough. Yeah, oh moment, I'm sorry. The 769 00:44:22,000 --> 00:44:25,319 Speaker 1: bar is too low for that. All right, let's take 770 00:44:25,440 --> 00:44:39,080 Speaker 1: a quick break and we'll be right back, and we're back, 771 00:44:39,719 --> 00:44:42,719 Speaker 1: and so yeah, I wanted to talk about this Amazon 772 00:44:42,880 --> 00:44:50,200 Speaker 1: AI cameras innovation in making the experience of being human 773 00:44:51,000 --> 00:44:55,239 Speaker 1: just a little less livable and more like you're living 774 00:44:55,280 --> 00:44:59,480 Speaker 1: in a dystopia. With our overseer technology, we make sure 775 00:44:59,560 --> 00:45:02,800 Speaker 1: all of our employees are working at their highest output possible. 776 00:45:03,880 --> 00:45:07,600 Speaker 1: So we've heard, you know that that employees feel the 777 00:45:07,680 --> 00:45:11,239 Speaker 1: need to wear adult diapers, go to the bathroom in 778 00:45:12,000 --> 00:45:14,760 Speaker 1: bottles in order to like keep up with the demands 779 00:45:14,840 --> 00:45:18,360 Speaker 1: from Amazon. That Amazon micromanager scheduling to the point that 780 00:45:19,280 --> 00:45:21,319 Speaker 1: you know, if you take a bathroom break, you are 781 00:45:21,520 --> 00:45:25,440 Speaker 1: now behind schedule and you're gonna lose money. And so 782 00:45:26,320 --> 00:45:29,640 Speaker 1: earlier this year, it was announced that Amazon would be 783 00:45:29,800 --> 00:45:35,000 Speaker 1: installing a wonderful new tool to continue in that direction, 784 00:45:35,360 --> 00:45:39,239 Speaker 1: AI powered cameras that go in the delivery vehicles and 785 00:45:39,440 --> 00:45:44,440 Speaker 1: require drivers to as sign biometric consent forms in order 786 00:45:44,520 --> 00:45:48,000 Speaker 1: to keep their jobs. So that's always good when they're 787 00:45:48,080 --> 00:45:51,719 Speaker 1: basically just saying do this or you don't have a 788 00:45:51,840 --> 00:45:56,280 Speaker 1: job anymore on something that is like the most fucking 789 00:45:56,400 --> 00:46:01,040 Speaker 1: horrifying thing I could imagine signing off on biometric consent forms. 790 00:46:01,400 --> 00:46:05,680 Speaker 1: I wouldn't even sign that at a doctor's office. I'm like, no, 791 00:46:05,840 --> 00:46:09,239 Speaker 1: fuck you, full biometric consent. They're like, I need to 792 00:46:09,280 --> 00:46:12,080 Speaker 1: take your blood pressure. I'm like, okay, okay, fine, do that. 793 00:46:12,920 --> 00:46:16,400 Speaker 1: And it all sounds creepy, but when you take a 794 00:46:17,280 --> 00:46:20,880 Speaker 1: closer look, you find it's even creepier than it sounds. 795 00:46:21,680 --> 00:46:27,080 Speaker 1: So they supposedly flagged dangerous behavior, including looking at phones 796 00:46:27,440 --> 00:46:31,520 Speaker 1: or even yawning. A system will audibly correct you. Oh, 797 00:46:32,080 --> 00:46:37,359 Speaker 1: audibly correct you with a robot voice. Yeah fuck off. Yeah. 798 00:46:37,600 --> 00:46:42,960 Speaker 1: So they are tracking vehicle location of movements, potential traffic violations, 799 00:46:43,000 --> 00:46:45,919 Speaker 1: and potentially risky driving behavior such as distract or driving 800 00:46:46,000 --> 00:46:50,000 Speaker 1: or drowsy driving. The company that like created this technology 801 00:46:50,440 --> 00:46:53,719 Speaker 1: and sold it to Amazon for like uh sixty one 802 00:46:54,200 --> 00:46:57,239 Speaker 1: million dollars I think, insisted that their product was made 803 00:46:57,320 --> 00:47:00,840 Speaker 1: with the driver's best interest in mind, so drivers be victimized, 804 00:47:01,200 --> 00:47:03,319 Speaker 1: which would be easier to swell if they didn't then 805 00:47:03,480 --> 00:47:07,239 Speaker 1: sell their cameras to fucking Amazon, who just had to 806 00:47:07,320 --> 00:47:11,040 Speaker 1: pay sixty one million dollar settlement after the FTC showed 807 00:47:11,080 --> 00:47:14,120 Speaker 1: that they were screwing their drivers out of their tips. 808 00:47:15,360 --> 00:47:18,680 Speaker 1: They what they did is they lowered the drivers wages, 809 00:47:18,920 --> 00:47:21,560 Speaker 1: but then used the tips to make up the difference, 810 00:47:21,840 --> 00:47:25,319 Speaker 1: so the drivers wouldn't know that they had had their 811 00:47:25,520 --> 00:47:29,680 Speaker 1: wages lowered. And so the cameras which were announced earlier 812 00:47:29,760 --> 00:47:32,719 Speaker 1: this year have now been rolled out in many markets. 813 00:47:32,960 --> 00:47:37,960 Speaker 1: The complaints from workers have been numerous and often horrifying. 814 00:47:38,040 --> 00:47:41,200 Speaker 1: One driver is worried the cameras will film her changing 815 00:47:41,239 --> 00:47:44,759 Speaker 1: the adult diapers she has to wear well making deliveries 816 00:47:44,800 --> 00:47:47,640 Speaker 1: for Amazon. God, they haven't even fucked. I mean, like 817 00:47:47,760 --> 00:47:49,800 Speaker 1: the fact that they're still like, oh yeah, there's we 818 00:47:49,960 --> 00:47:52,400 Speaker 1: still they still have to wear diapers if they need 819 00:47:52,480 --> 00:47:55,560 Speaker 1: to use the bathroom because we haven't loosened that, And 820 00:47:55,680 --> 00:47:58,200 Speaker 1: on top of it, there will be a camera fucking 821 00:47:58,640 --> 00:48:03,000 Speaker 1: recording all that is. Yikes, yeah, the right. We already 822 00:48:03,080 --> 00:48:06,120 Speaker 1: know that drivers peeing in water bottles is a frequent occurrence. 823 00:48:06,200 --> 00:48:09,359 Speaker 1: So like, they force you to do in human things 824 00:48:09,520 --> 00:48:12,880 Speaker 1: their body can't handle, and then film you while doing it, 825 00:48:13,280 --> 00:48:16,960 Speaker 1: so you feel like your privacy is being invaded. Drivers 826 00:48:17,000 --> 00:48:20,880 Speaker 1: are getting distracted driver notifications for simply changing the radio 827 00:48:21,000 --> 00:48:26,080 Speaker 1: station or drinking water, which two things that it's been 828 00:48:26,200 --> 00:48:30,160 Speaker 1: said human beings should be allowed to do. Drivers get 829 00:48:30,239 --> 00:48:32,680 Speaker 1: in trouble if another car cuts them off in traffic, 830 00:48:33,000 --> 00:48:36,680 Speaker 1: which prompts a warning about maintaining a safe distance from 831 00:48:36,800 --> 00:48:41,200 Speaker 1: what one driver described as a dystopian, dark, robotic voice. 832 00:48:41,800 --> 00:48:44,000 Speaker 1: And sometimes they get written up for not stopping at 833 00:48:44,080 --> 00:48:47,520 Speaker 1: stop signs that aren't even there, And so these events 834 00:48:47,880 --> 00:48:51,480 Speaker 1: are recorded and used to tabulate a driver's score at 835 00:48:51,520 --> 00:48:54,399 Speaker 1: the end of the week, which then determines if they're 836 00:48:54,480 --> 00:48:58,840 Speaker 1: eligible for their bonuses. Despite like all those glytches, the 837 00:48:58,920 --> 00:49:03,920 Speaker 1: scoring is not at all transparent and there's no like 838 00:49:04,200 --> 00:49:10,160 Speaker 1: appeals process, So it's just like fucking horrifying. Yeah, I mean, 839 00:49:10,560 --> 00:49:15,239 Speaker 1: you couldn't. You couldn't like make your work more dehumanizing 840 00:49:15,520 --> 00:49:17,920 Speaker 1: than to do ship like this to someone who's working, 841 00:49:18,440 --> 00:49:20,960 Speaker 1: you know, like the fact that it's like sensors are 842 00:49:21,000 --> 00:49:24,320 Speaker 1: going off because of your bodily functions or your impulse 843 00:49:24,440 --> 00:49:28,200 Speaker 1: to yawn or entertain yourself, you change the radio, whatever, 844 00:49:28,360 --> 00:49:32,719 Speaker 1: and some things like you're you're displaying too much human behavior, 845 00:49:33,320 --> 00:49:37,000 Speaker 1: amaton get back, Like it's I can't think of any 846 00:49:37,040 --> 00:49:39,799 Speaker 1: other way to describe this except for it's monitoring people 847 00:49:39,920 --> 00:49:44,000 Speaker 1: for being human, Yes, exactly, showing too much human too 848 00:49:44,080 --> 00:49:47,279 Speaker 1: much humanity. I can't decide if it'd be worse or 849 00:49:47,400 --> 00:49:50,759 Speaker 1: better if it wasn't the dystopian dark robot voice, like 850 00:49:50,840 --> 00:49:53,360 Speaker 1: if they got you know, Jennifer Connelly or something like, 851 00:49:53,480 --> 00:49:55,600 Speaker 1: it's just her voice telling you to stop being human. 852 00:49:55,800 --> 00:50:00,400 Speaker 1: It's almost more dehumanizing. Right, Oh yeah, I P. That's 853 00:50:00,560 --> 00:50:03,959 Speaker 1: definitely going to be the next Yeah, it's definitely gonna 854 00:50:04,000 --> 00:50:06,880 Speaker 1: be the next you know the way that like Ways 855 00:50:07,040 --> 00:50:10,400 Speaker 1: has like boy George and doing the Yeah, they're for 856 00:50:10,520 --> 00:50:13,760 Speaker 1: sure going to be like, guys, good news, problem solved. 857 00:50:14,680 --> 00:50:21,560 Speaker 1: We've paid many different celebrities two to stop pooping yourself 858 00:50:22,080 --> 00:50:26,319 Speaker 1: or so by paid them, we actually just recorded their 859 00:50:26,400 --> 00:50:29,360 Speaker 1: voices when they were interacting with our Lexa devices and 860 00:50:29,440 --> 00:50:32,920 Speaker 1: then used algorithm to make it sound like they were 861 00:50:32,960 --> 00:50:36,480 Speaker 1: saying these things. But yeah, so they are claiming Amazon's 862 00:50:36,520 --> 00:50:40,360 Speaker 1: claiming that the cameras have reduced accidents by forty percent. 863 00:50:40,520 --> 00:50:44,400 Speaker 1: I'm assuming that is like the scoring system, not something 864 00:50:44,440 --> 00:50:49,160 Speaker 1: they're opening up for review. But according to drivers, the 865 00:50:49,239 --> 00:50:52,120 Speaker 1: cameras actually make things less safe in many ways. If 866 00:50:52,160 --> 00:50:55,080 Speaker 1: they so much as look in their side mirrors to 867 00:50:55,239 --> 00:50:58,600 Speaker 1: change lanes, they get a distracted driver alert. Not to mention, 868 00:50:58,680 --> 00:51:02,360 Speaker 1: the constant beeping creates a massive distraction. Two drivers on 869 00:51:02,400 --> 00:51:05,680 Speaker 1: the road, and even if it did create a drop 870 00:51:05,880 --> 00:51:11,440 Speaker 1: in accidents in the short term, it's absolute existential violence 871 00:51:11,600 --> 00:51:14,680 Speaker 1: that is going to come out in the wash somewhere. 872 00:51:14,800 --> 00:51:18,800 Speaker 1: Like Amazon's main innovation that has made them so massive 873 00:51:19,120 --> 00:51:22,880 Speaker 1: is to push humans to the breaking point of just 874 00:51:23,080 --> 00:51:27,279 Speaker 1: like inhumane treatment and hide it in spaces like warehouses 875 00:51:27,320 --> 00:51:30,360 Speaker 1: and delivery vehicles where the public can't see it, and 876 00:51:31,360 --> 00:51:35,640 Speaker 1: like it's it's unsustainable, but they just you know, because 877 00:51:35,760 --> 00:51:40,680 Speaker 1: they're so unregulated, because we live in a moment where 878 00:51:41,000 --> 00:51:44,640 Speaker 1: capital just has all the power and they are have 879 00:51:44,840 --> 00:51:48,720 Speaker 1: the most capital, Like we're just not We're not seeing 880 00:51:48,800 --> 00:51:52,320 Speaker 1: it and anywhere other than people just being like this 881 00:51:52,520 --> 00:51:56,799 Speaker 1: fucking sucks you guys, like we this is not any 882 00:51:56,840 --> 00:52:01,600 Speaker 1: way to live. A friend of mine of Michigan was 883 00:52:01,680 --> 00:52:05,360 Speaker 1: working for Amazon and refused to sign this and was 884 00:52:05,560 --> 00:52:07,640 Speaker 1: told he wouldn't be fired if he didn't sign it, 885 00:52:08,160 --> 00:52:10,440 Speaker 1: but he wouldn't be eligible to drive the vans anymore, 886 00:52:10,600 --> 00:52:14,200 Speaker 1: and therefore wouldn't be given any deliveries to do so 887 00:52:14,360 --> 00:52:17,839 Speaker 1: basically like would have to quit because he wasn't working 888 00:52:17,880 --> 00:52:22,080 Speaker 1: there anymore. Basic your employment status will be frozen, being fired, 889 00:52:22,280 --> 00:52:26,239 Speaker 1: shooting frozen. And it was already a thing up there 890 00:52:26,280 --> 00:52:29,520 Speaker 1: because he he was a driver for it wasn't he 891 00:52:29,600 --> 00:52:32,879 Speaker 1: didn't even work directly for Amazon. It was a small 892 00:52:32,960 --> 00:52:36,600 Speaker 1: delivery company which Amazon employed many of so that they 893 00:52:36,640 --> 00:52:41,359 Speaker 1: didn't know one company had enough employees to unionize. Yeah, right, 894 00:52:41,920 --> 00:52:47,120 Speaker 1: and also it helps them with liability for accidents. And like, 895 00:52:47,239 --> 00:52:49,120 Speaker 1: I mean, then everyone can move to one of those 896 00:52:49,160 --> 00:52:56,240 Speaker 1: Amazon towns, right yeah, yeah, just just work and we'll 897 00:52:56,239 --> 00:52:58,680 Speaker 1: give you everything you need. Oh yeah, I'm waiting for 898 00:52:58,760 --> 00:53:02,680 Speaker 1: the for rentals real estate for Amazon to get into 899 00:53:02,760 --> 00:53:06,160 Speaker 1: that game. I mean that discount on your rent I mean, 900 00:53:06,280 --> 00:53:09,480 Speaker 1: and honestly, like that's what those Amazon look like. Those 901 00:53:09,560 --> 00:53:12,160 Speaker 1: company towns are gonna eventually turn into, you know, like 902 00:53:12,320 --> 00:53:14,920 Speaker 1: where like I'm you know, like there's probably gonna be 903 00:53:14,960 --> 00:53:16,320 Speaker 1: a world where it's like, hey man, you can like 904 00:53:17,160 --> 00:53:20,160 Speaker 1: suffer under this other version of capitalism or come to 905 00:53:20,239 --> 00:53:25,919 Speaker 1: our dystopia like like diet slavery town and come bine 906 00:53:25,960 --> 00:53:29,440 Speaker 1: and you know your will tell you you're late from 907 00:53:29,520 --> 00:53:32,440 Speaker 1: your apartment because we know where you are and it'll 908 00:53:33,000 --> 00:53:34,759 Speaker 1: and but hey, all your needs will be met and 909 00:53:34,840 --> 00:53:36,880 Speaker 1: you just give your life to Amazon. Soon we just 910 00:53:37,080 --> 00:53:40,480 Speaker 1: plug you into the machine, use your body as a battery, right, 911 00:53:40,560 --> 00:53:43,640 Speaker 1: and don't tell the witch House skis because we kind 912 00:53:43,640 --> 00:53:45,279 Speaker 1: of got the idea from the matrix. But it's a 913 00:53:45,320 --> 00:53:49,120 Speaker 1: good idea. It's a good idea. Have we covered Amazon 914 00:53:49,239 --> 00:53:52,640 Speaker 1: Towns on on the show? Well, no, I don't think so. 915 00:53:52,760 --> 00:53:56,200 Speaker 1: I mean it's something i've throughout the day of just 916 00:53:56,320 --> 00:53:59,640 Speaker 1: reading all the nightmares. So stories. Yeah, let's talk. We'll 917 00:53:59,640 --> 00:54:03,479 Speaker 1: talk more down to the episode of dailies like guys 918 00:54:03,560 --> 00:54:07,360 Speaker 1: near You. Yeah, all right, let's talk about tomatoes. You know, 919 00:54:07,680 --> 00:54:11,000 Speaker 1: Miles you said you have a kind of love hate 920 00:54:11,040 --> 00:54:18,319 Speaker 1: relationship with Yeah, night Shade Night. I as a kid 921 00:54:18,440 --> 00:54:21,359 Speaker 1: hated him, could not stand them on anything. I hated 922 00:54:21,400 --> 00:54:24,080 Speaker 1: them on sandwiches, I always picked like raw. If it 923 00:54:24,200 --> 00:54:26,040 Speaker 1: was raw, I just did not like it. I could 924 00:54:26,040 --> 00:54:30,000 Speaker 1: always pasta was fine, like pasta, sauce, like things like 925 00:54:30,080 --> 00:54:32,560 Speaker 1: that were fine, like catch up obviously, but like when 926 00:54:32,600 --> 00:54:34,480 Speaker 1: it came to raw tomatoes, I just had this like 927 00:54:35,360 --> 00:54:38,680 Speaker 1: I couldn't. I didn't like taste. Sometimes a texture would 928 00:54:38,680 --> 00:54:41,560 Speaker 1: be weird and unripe tomato, Like who would ruin a 929 00:54:41,640 --> 00:54:46,080 Speaker 1: sandwich for me? As a kid? And I was like yeah, 930 00:54:46,480 --> 00:54:50,160 Speaker 1: And eventually, like I came around, I got older, I 931 00:54:50,280 --> 00:54:54,160 Speaker 1: tried more. I found new ways to enjoy tomatoes, like 932 00:54:54,320 --> 00:54:57,200 Speaker 1: you know, caprazy salad or like saltsa like I didn't 933 00:54:57,200 --> 00:54:59,920 Speaker 1: even like certain salsa sometimes, like like if it was 934 00:55:00,040 --> 00:55:02,319 Speaker 1: like Peko the Guy or something like if it wasn't 935 00:55:02,600 --> 00:55:05,279 Speaker 1: super sauced up, I'd kind of be like. But then 936 00:55:06,000 --> 00:55:07,920 Speaker 1: I a part of me just like grew up. I 937 00:55:08,000 --> 00:55:09,880 Speaker 1: felt like I was like, it's not that bad, and 938 00:55:09,960 --> 00:55:12,520 Speaker 1: when you eat it with other stuff, like, it's actually enjoyable. 939 00:55:12,920 --> 00:55:16,839 Speaker 1: Which brings me to this piece that was they they 940 00:55:17,160 --> 00:55:20,640 Speaker 1: mentioned in the takeout about this Duke student who wrote 941 00:55:20,640 --> 00:55:24,200 Speaker 1: an op ed for the student paper there, the Duke 942 00:55:24,360 --> 00:55:29,520 Speaker 1: Chronicle to go off on the like cafeteria sort of 943 00:55:30,040 --> 00:55:33,840 Speaker 1: their love with like just putting tomatoes on everything, and 944 00:55:34,880 --> 00:55:38,640 Speaker 1: the way this person describes like scenarios in which tomatoes 945 00:55:38,680 --> 00:55:41,160 Speaker 1: work or don't work. I think it spoke directly to 946 00:55:41,320 --> 00:55:44,520 Speaker 1: me and encapsulated my exact beliefs on tomatoes for the 947 00:55:44,560 --> 00:55:46,520 Speaker 1: most part. And I just want to just read some 948 00:55:46,640 --> 00:55:49,600 Speaker 1: of this because it is next level writing. He says. 949 00:55:49,960 --> 00:55:52,640 Speaker 1: Could you read it in a Civil War soldier writing 950 00:55:52,680 --> 00:55:58,279 Speaker 1: home like a like a listless band in the back 951 00:55:58,400 --> 00:56:02,560 Speaker 1: it a pond, taking the first bite of the sandwich. 952 00:56:02,880 --> 00:56:06,360 Speaker 1: My tongue was assaulted by an acrid tanginess that instantly 953 00:56:06,480 --> 00:56:11,000 Speaker 1: overwhelmed any other flavor words. The texture was that of 954 00:56:11,120 --> 00:56:15,640 Speaker 1: wet rubber, chewy and fibrous, yet unnervingly moist and slippery. 955 00:56:16,120 --> 00:56:18,840 Speaker 1: Another ingredient was present, and there was more of it 956 00:56:19,160 --> 00:56:21,560 Speaker 1: than even the avocado that was crucial to the name 957 00:56:21,600 --> 00:56:24,880 Speaker 1: of the sandwich. Once again, Duke Dining had tricked me 958 00:56:24,960 --> 00:56:28,440 Speaker 1: into eating something with tomato. Let's step back for a 959 00:56:28,520 --> 00:56:31,320 Speaker 1: moment and examine the tomato as a fruit. The taste 960 00:56:31,360 --> 00:56:34,040 Speaker 1: of a tomato is pretty good, even if it's strong. 961 00:56:34,239 --> 00:56:38,000 Speaker 1: It's sweet, tangy, just a little bit acidic, and surprisingly savory. 962 00:56:38,400 --> 00:56:41,320 Speaker 1: Not my favorite, but I can understand why others enjoy it. 963 00:56:41,840 --> 00:56:44,200 Speaker 1: The texture is more of a mixed bag, with some 964 00:56:44,360 --> 00:56:47,960 Speaker 1: parts that are relatively rubbery and an uncomfortable amount of juiciness, 965 00:56:48,239 --> 00:56:51,400 Speaker 1: but it too has its time and place. Even if 966 00:56:51,440 --> 00:56:54,480 Speaker 1: my personal preferences are against this particular fruit, it does 967 00:56:54,600 --> 00:56:58,480 Speaker 1: have some value to it. Unfortunately, tomato is forced well 968 00:56:58,520 --> 00:57:01,360 Speaker 1: outside of its appropriate on text. The taste can be 969 00:57:01,520 --> 00:57:04,720 Speaker 1: very overwhelming. Imagine putting even a small amount of ketchup 970 00:57:04,760 --> 00:57:07,799 Speaker 1: on mac and cheese. Even more so, the texture only 971 00:57:07,880 --> 00:57:10,719 Speaker 1: works in a very few settings. This is why many 972 00:57:10,920 --> 00:57:14,480 Speaker 1: iconic tomato dishes like pizza and salsa used tomato sauce 973 00:57:14,600 --> 00:57:17,640 Speaker 1: or crushed slash chopped tomatoes rather than the wet, rubber 974 00:57:17,720 --> 00:57:21,160 Speaker 1: composite that defines a whole tomato. So it goes on 975 00:57:21,280 --> 00:57:23,880 Speaker 1: to say, like, I get it. I respect the tomato. 976 00:57:24,080 --> 00:57:27,200 Speaker 1: It's a great thing, but there's a time and a 977 00:57:27,280 --> 00:57:30,120 Speaker 1: place for it. And his main gripe though, it's more 978 00:57:30,160 --> 00:57:33,640 Speaker 1: about how he says that the duke like dining company, 979 00:57:33,720 --> 00:57:35,560 Speaker 1: like the people that handle like the cafetier and stuff. 980 00:57:35,680 --> 00:57:38,280 Speaker 1: They're putting it on everything, like he just doesn't even 981 00:57:38,360 --> 00:57:41,080 Speaker 1: understand why it's showing up on certain things. I am 982 00:57:42,200 --> 00:57:47,360 Speaker 1: on board with this take. I think the tomatoes should 983 00:57:47,400 --> 00:57:53,440 Speaker 1: be regarded like baking soda or like flower as like 984 00:57:53,560 --> 00:57:57,200 Speaker 1: a thing that is a great ingredient for some of 985 00:57:57,280 --> 00:58:00,320 Speaker 1: my favorites. But don't just like fucking get me the 986 00:58:00,480 --> 00:58:05,000 Speaker 1: powder raw dude like that. That sucks. It's terrible, Like 987 00:58:05,160 --> 00:58:08,800 Speaker 1: pizza with whole tomatoes is so much worse than pizza 988 00:58:09,040 --> 00:58:13,040 Speaker 1: that has tomato sauce. I am personally of the opinion 989 00:58:13,040 --> 00:58:16,360 Speaker 1: of Pika de Gaio is worse than any sauca with 990 00:58:16,520 --> 00:58:19,800 Speaker 1: like stewed or like kind of canned tomatoes that have that, 991 00:58:20,560 --> 00:58:22,920 Speaker 1: you know, a little bit more gloppy and have been 992 00:58:23,960 --> 00:58:26,160 Speaker 1: more flavors. Because it's just it's really simple. It's like, 993 00:58:26,240 --> 00:58:29,640 Speaker 1: you know, cilantra onions and tomato versus like you're getting 994 00:58:29,680 --> 00:58:33,080 Speaker 1: chilies and things like that. Yeah, Eli, where do you stand? 995 00:58:33,120 --> 00:58:36,400 Speaker 1: I'm as a vegetarian. I guess the first question I'd 996 00:58:36,400 --> 00:58:39,360 Speaker 1: ask you is, can you eat a tomato just straight raw, 997 00:58:39,600 --> 00:58:43,360 Speaker 1: nothing on it, not just straight up just slices dry? 998 00:58:44,080 --> 00:58:47,600 Speaker 1: I I can, and I have not not often. I'm 999 00:58:47,640 --> 00:58:50,920 Speaker 1: with the pizza is my line, Like sliced tomatoes cooked 1000 00:58:50,960 --> 00:58:53,800 Speaker 1: on a pizza is too much. I can't. I can't 1001 00:58:53,840 --> 00:58:57,000 Speaker 1: get with that. But but I'm pro tomato. I'll eat 1002 00:58:57,080 --> 00:59:01,560 Speaker 1: tomatoes on on most things without a problem. Like catch 1003 00:59:01,640 --> 00:59:03,440 Speaker 1: up catch up. He gets into catch up on mac 1004 00:59:03,480 --> 00:59:05,000 Speaker 1: and cheese and stuff, and that's a whole other world. 1005 00:59:05,080 --> 00:59:08,000 Speaker 1: And I'm not okay with that. That's not even let's 1006 00:59:08,000 --> 00:59:10,120 Speaker 1: not explore that. I mean, I mean that's a bit 1007 00:59:10,160 --> 00:59:12,200 Speaker 1: of a straw man. Nobody over the age of six 1008 00:59:12,320 --> 00:59:14,520 Speaker 1: puts catch up on mac and cheese, Like why why 1009 00:59:14,640 --> 00:59:19,800 Speaker 1: ask us to imagine that just to like valuable space 1010 00:59:19,960 --> 00:59:23,840 Speaker 1: with that sentence. But yeah, I mean I I the 1011 00:59:23,960 --> 00:59:27,120 Speaker 1: thing is like tomatoes, as he goes on to say, 1012 00:59:27,160 --> 00:59:29,080 Speaker 1: it's like it shouldn't be treated as like an like 1013 00:59:29,320 --> 00:59:33,080 Speaker 1: an omni topping like that you can put it on everything, 1014 00:59:33,480 --> 00:59:36,200 Speaker 1: And I get that too. I think more the thing 1015 00:59:36,280 --> 00:59:38,320 Speaker 1: that really puts me off is when ship isn't right, 1016 00:59:38,760 --> 00:59:40,880 Speaker 1: Like don't just put don't just force it in there. 1017 00:59:40,920 --> 00:59:43,680 Speaker 1: If it's not right, don't put it in there. Because 1018 00:59:43,720 --> 00:59:47,640 Speaker 1: there's nothing worse than a young ass tomato that is 1019 00:59:47,680 --> 00:59:49,480 Speaker 1: like just really like you're like, am I eating like 1020 00:59:49,560 --> 00:59:54,919 Speaker 1: a watermelon rind? Like that part really gets me off, 1021 00:59:55,040 --> 00:59:58,320 Speaker 1: but or not gets me off, puts me off. Whatever 1022 00:59:58,600 --> 01:00:00,360 Speaker 1: does it for you? Yeah it look thank you, no 1023 01:00:00,480 --> 01:00:02,840 Speaker 1: judgment here. But I think like the other thing is 1024 01:00:02,880 --> 01:00:04,400 Speaker 1: there are times I really like it and there it 1025 01:00:04,680 --> 01:00:08,080 Speaker 1: does bring an added dose of like moisture and you know, 1026 01:00:08,680 --> 01:00:11,880 Speaker 1: a texture to a sandwich. But I can't say it 1027 01:00:12,240 --> 01:00:15,560 Speaker 1: can be on everything. That's just yeah, that's that's fair. 1028 01:00:16,320 --> 01:00:19,520 Speaker 1: I wonder I think in the vegetarian experience, like tomato 1029 01:00:19,720 --> 01:00:22,160 Speaker 1: is a lot of substance on your sandwich, Like you 1030 01:00:22,280 --> 01:00:24,480 Speaker 1: kind of have to have it or you lose a 1031 01:00:24,520 --> 01:00:26,800 Speaker 1: half inchy or sandwich was, which is already going to 1032 01:00:26,840 --> 01:00:30,360 Speaker 1: be lacking compared to most people's right, right, yeah, and 1033 01:00:30,560 --> 01:00:32,400 Speaker 1: and I'm and I'm fine with it, but in that place, 1034 01:00:32,560 --> 01:00:35,560 Speaker 1: like let's make sure they're right, make sure they're right dead, 1035 01:00:36,040 --> 01:00:37,520 Speaker 1: because there's only a few. I mean, like, I like 1036 01:00:37,680 --> 01:00:41,560 Speaker 1: cucumbers without anything. I'm I love I love him great cucumber. 1037 01:00:41,560 --> 01:00:43,680 Speaker 1: I don't need ship to eat like a like a 1038 01:00:43,720 --> 01:00:47,560 Speaker 1: little Persian cucumber or something like that, but a tomato, 1039 01:00:47,680 --> 01:00:49,680 Speaker 1: unfortunately for me, I think I think that's sort of 1040 01:00:49,760 --> 01:00:51,560 Speaker 1: the difference is like it's one of those things like 1041 01:00:51,720 --> 01:00:55,680 Speaker 1: on its own, by itself. It's I'm not fully on 1042 01:00:55,800 --> 01:00:57,840 Speaker 1: board with that flavor deep down, and I have to 1043 01:00:58,120 --> 01:01:00,920 Speaker 1: I've had to accept that. And I don't argue cucumbers 1044 01:01:00,960 --> 01:01:03,800 Speaker 1: are harder to funk up than tomatoes. Like cucumbers are 1045 01:01:03,880 --> 01:01:06,720 Speaker 1: just generally like good on everything. My only thing with 1046 01:01:06,760 --> 01:01:13,600 Speaker 1: cucumbers is that they dominate flavor. Cucumber is the number 1047 01:01:13,640 --> 01:01:16,320 Speaker 1: one taste I'm getting. Yeah, let's take the skin, but 1048 01:01:16,400 --> 01:01:18,000 Speaker 1: a little bit, if you peel it a little bit, 1049 01:01:18,160 --> 01:01:20,160 Speaker 1: you know what I mean, that gives it a less 1050 01:01:20,400 --> 01:01:22,960 Speaker 1: a little bit of a less of an edge. But yeah, 1051 01:01:23,160 --> 01:01:25,240 Speaker 1: I mean again, I don't mean to say I just 1052 01:01:25,400 --> 01:01:27,959 Speaker 1: like tomatoes. I do like tomatoes and I have They're 1053 01:01:27,960 --> 01:01:30,480 Speaker 1: just for me. I get it's a very context specific thing, 1054 01:01:30,520 --> 01:01:32,360 Speaker 1: and I think that's what maybe this op ed was 1055 01:01:32,440 --> 01:01:35,280 Speaker 1: powerful and raising my awareness that I'm like, oh, this 1056 01:01:35,440 --> 01:01:39,600 Speaker 1: is a context fruit, not a on everything type. I 1057 01:01:39,800 --> 01:01:44,200 Speaker 1: order salads without tomatoes, like I ask, like I specifically 1058 01:01:44,320 --> 01:01:46,880 Speaker 1: like say no tomatoes please, like when if I'm ordering 1059 01:01:46,880 --> 01:01:50,240 Speaker 1: a salad. The this did like kind of bring to 1060 01:01:50,280 --> 01:01:54,400 Speaker 1: my attention like that I love like tomatoes as a 1061 01:01:54,960 --> 01:01:59,840 Speaker 1: tomatoes might be my favorite ingredient because I love very narrows. 1062 01:02:00,160 --> 01:02:04,120 Speaker 1: I love salsa, like those are two of my favorite 1063 01:02:04,320 --> 01:02:07,840 Speaker 1: like things in the world to eat. But I just 1064 01:02:08,320 --> 01:02:12,400 Speaker 1: do not funk with the raw tomato on its own. 1065 01:02:12,880 --> 01:02:16,480 Speaker 1: Thank you for giving my life meaning and purpose, young 1066 01:02:17,760 --> 01:02:22,760 Speaker 1: nineteen year old. Essentially, it's probably a freshman, right who's 1067 01:02:22,800 --> 01:02:25,840 Speaker 1: like going to the dining hall, like probably just like 1068 01:02:26,280 --> 01:02:28,520 Speaker 1: just a kid too smart for his own good, and 1069 01:02:28,600 --> 01:02:31,000 Speaker 1: he's like hell and like his friends like dude, that's 1070 01:02:31,040 --> 01:02:33,240 Speaker 1: so funny the way you're like taking it down like that, 1071 01:02:33,440 --> 01:02:37,160 Speaker 1: because all his bros Are like dude, fuck this again, 1072 01:02:38,040 --> 01:02:39,720 Speaker 1: and he has to go back and just say like 1073 01:02:40,280 --> 01:02:43,120 Speaker 1: this this, there's this one line where he's like, it's 1074 01:02:43,120 --> 01:02:45,920 Speaker 1: a mistake they make frequently at a variety of venues, 1075 01:02:46,200 --> 01:02:50,040 Speaker 1: and he starts calling out the individual places on campus. Obviously, 1076 01:02:50,360 --> 01:02:53,760 Speaker 1: Twinnies has snuck tomatoes into many innocent looking meals, but 1077 01:02:53,920 --> 01:02:58,800 Speaker 1: nearly every sandwich sandwich offering at calf includes tomatoes, and 1078 01:02:58,920 --> 01:03:02,080 Speaker 1: so do many of the grapes that part. I'm like, 1079 01:03:02,200 --> 01:03:06,680 Speaker 1: oh many of the crap. Yeah, And almost every bed bound, 1080 01:03:06,800 --> 01:03:10,360 Speaker 1: bread bound bite to eat at Pitchforks comes with tomato 1081 01:03:10,480 --> 01:03:13,360 Speaker 1: on it, from the burger and the fried chicken sandwich 1082 01:03:13,520 --> 01:03:17,240 Speaker 1: to the moderately more appropriate salsa on tacos. Even beloved 1083 01:03:17,360 --> 01:03:21,000 Speaker 1: campus eatery The Loops, lap slices onto most of their dishes, Like, 1084 01:03:21,240 --> 01:03:23,360 Speaker 1: don't put tomato on a on a fried chicken sandwich, 1085 01:03:23,400 --> 01:03:26,800 Speaker 1: don't you interneering with the crunch. I love a nice 1086 01:03:26,920 --> 01:03:32,280 Speaker 1: crepe with some Natella banana and a big fucking slice 1087 01:03:32,280 --> 01:03:36,240 Speaker 1: of tomato right in there, just a juicy egs just 1088 01:03:36,440 --> 01:03:38,960 Speaker 1: half of just half that thing. Don't even slice it, 1089 01:03:39,040 --> 01:03:43,960 Speaker 1: just halfen it up in there. Uh Eli. It's been 1090 01:03:44,160 --> 01:03:46,280 Speaker 1: a pleasure of having you. Man, Hey, it's been great 1091 01:03:46,320 --> 01:03:49,600 Speaker 1: being here. Where can people find you? And Folly can 1092 01:03:49,680 --> 01:03:52,720 Speaker 1: find me on Twitter and Instagram, I'm at Oh great, 1093 01:03:52,800 --> 01:03:55,680 Speaker 1: it's Eli on both. There you go. You can find 1094 01:03:55,840 --> 01:03:59,360 Speaker 1: our show Ridiculous Romance at rideck Romance on both those 1095 01:03:59,400 --> 01:04:02,320 Speaker 1: platforms as well. There you go. And is there a 1096 01:04:02,400 --> 01:04:04,760 Speaker 1: tweet or some of the work of social media you've 1097 01:04:04,800 --> 01:04:08,240 Speaker 1: been enjoying? You know, just this morning I came across 1098 01:04:08,360 --> 01:04:11,120 Speaker 1: a tweet from Danis Schwartz. It is a really funny 1099 01:04:11,160 --> 01:04:15,240 Speaker 1: comedian and it just said Wizards knew about the Holocaust 1100 01:04:15,400 --> 01:04:18,040 Speaker 1: and used none of their magic to help. And I 1101 01:04:18,120 --> 01:04:20,640 Speaker 1: didn't know what that meant, but it turns out it's 1102 01:04:20,680 --> 01:04:25,080 Speaker 1: the premise for the new Fantastic Beasts movie is called 1103 01:04:25,120 --> 01:04:29,200 Speaker 1: The Secrets of Dumbledore, and it is about the Wizard's 1104 01:04:29,400 --> 01:04:33,240 Speaker 1: involvement leading up to World War Two. Oh no, And 1105 01:04:33,480 --> 01:04:38,960 Speaker 1: I can't imagine why, Like I think I was. I 1106 01:04:39,040 --> 01:04:42,800 Speaker 1: think we were all better off just assuming that that 1107 01:04:43,040 --> 01:04:45,680 Speaker 1: you those two universes didn't exist in the same place. Honestly, 1108 01:04:45,760 --> 01:04:47,960 Speaker 1: like I was better off never even thinking about the 1109 01:04:48,040 --> 01:04:50,680 Speaker 1: Wizards and the Nazis at the same time in my head. 1110 01:04:51,640 --> 01:04:53,880 Speaker 1: So I don't know why this is the premise for 1111 01:04:53,920 --> 01:04:58,600 Speaker 1: the new movie. But that's that's supposed to endear them 1112 01:05:00,520 --> 01:05:02,120 Speaker 1: or there an be like or is it like trying 1113 01:05:02,160 --> 01:05:03,880 Speaker 1: to like justify like to say, like, hey, it was 1114 01:05:04,360 --> 01:05:07,480 Speaker 1: a tough time man time. Even though they had powers 1115 01:05:07,600 --> 01:05:10,360 Speaker 1: no human had ever seen, they weren't sure if they 1116 01:05:10,400 --> 01:05:12,800 Speaker 1: should help these other people who were in dire straits. 1117 01:05:13,280 --> 01:05:18,800 Speaker 1: That's that's amazing that, like the the whole Harry Potter 1118 01:05:19,480 --> 01:05:22,480 Speaker 1: like universe is kind of based around the Nazi metaphor, 1119 01:05:23,040 --> 01:05:25,720 Speaker 1: but then it's like kind of an imperfect one. So 1120 01:05:25,840 --> 01:05:28,280 Speaker 1: it's funny that they're like, yeah, they're not Nazis at all, 1121 01:05:28,400 --> 01:05:31,640 Speaker 1: that we were never saying that actually, and uh so 1122 01:05:32,240 --> 01:05:35,760 Speaker 1: here is what I've also had the thought that, like 1123 01:05:36,120 --> 01:05:41,000 Speaker 1: the Wizarding World is kind of like the Confederate South 1124 01:05:41,640 --> 01:05:46,040 Speaker 1: in the sense that they never learned to do anything 1125 01:05:46,240 --> 01:05:50,040 Speaker 1: because they were just always reliant on this like horrifying 1126 01:05:51,240 --> 01:05:56,680 Speaker 1: thing that made everything super easy for them. But that's 1127 01:05:56,720 --> 01:05:59,960 Speaker 1: a it's a longer discussion. Yeah, Miles, where could you 1128 01:06:00,040 --> 01:06:02,120 Speaker 1: will find you? What's a tweet you've been enjoying? Twitter? 1129 01:06:02,240 --> 01:06:05,800 Speaker 1: Instagram at Miles of Gray. Also the other show for 1130 01:06:06,000 --> 01:06:10,320 Speaker 1: Twenty Day Fiance was Sophia Alexandra Comb check that out 1131 01:06:10,600 --> 01:06:13,760 Speaker 1: a tweet that I like, Wow, what got A got 1132 01:06:13,800 --> 01:06:16,200 Speaker 1: a couple of good ones. The first one is from 1133 01:06:16,760 --> 01:06:21,800 Speaker 1: Taming Fred Savage at Fred Taming tweated alive you may 1134 01:06:21,840 --> 01:06:26,760 Speaker 1: be entitled to compensation, which just feels like about right 1135 01:06:26,880 --> 01:06:30,000 Speaker 1: about the mood right now. I think I'm old this. 1136 01:06:30,240 --> 01:06:32,439 Speaker 1: This can't be. There must be a class action suit 1137 01:06:32,480 --> 01:06:34,760 Speaker 1: I can get in on for for like being like this. 1138 01:06:35,440 --> 01:06:39,920 Speaker 1: And then literary agent kneading jerk at gen Delman tweeted, 1139 01:06:40,360 --> 01:06:43,680 Speaker 1: call me maybe is ten years old. The popularity of 1140 01:06:43,760 --> 01:06:47,160 Speaker 1: the song has officially outlasted their concept of calling someone 1141 01:06:47,360 --> 01:06:54,640 Speaker 1: on the phone and hopefulness. So yeah, and so yeah. 1142 01:06:54,680 --> 01:06:57,280 Speaker 1: There's a few concepts that we talked about today. Let's see. 1143 01:06:57,320 --> 01:06:59,520 Speaker 1: Pet Regan tweeted, I think there should be an oscar 1144 01:06:59,600 --> 01:07:03,360 Speaker 1: category called TV show that gets an oscar actually, which 1145 01:07:03,400 --> 01:07:08,400 Speaker 1: I think is a good idea. The oh Eli Cremndal 1146 01:07:08,600 --> 01:07:11,640 Speaker 1: two days in a row tweet remembering the time I 1147 01:07:11,680 --> 01:07:13,760 Speaker 1: started a new job and nobody told me what to do, 1148 01:07:13,960 --> 01:07:16,760 Speaker 1: so I spent two full weeks just scrolling Instagram before 1149 01:07:16,800 --> 01:07:19,959 Speaker 1: finally asking my manager what my job was. Office jobs 1150 01:07:20,000 --> 01:07:23,320 Speaker 1: are a literal joke, which ties in nicely with our 1151 01:07:23,440 --> 01:07:28,040 Speaker 1: conversation yesterday about bullshit jobs. And then Eric Kurtin tweeted, 1152 01:07:28,080 --> 01:07:31,120 Speaker 1: you're in her d m s. She's actually a catfish 1153 01:07:31,160 --> 01:07:33,760 Speaker 1: account I created. You're at my d MS weird dating now. 1154 01:07:33,800 --> 01:07:37,560 Speaker 1: I love you so much. You can find me on 1155 01:07:37,640 --> 01:07:39,840 Speaker 1: Twitter at Jack Underscore O Brian. You can find us 1156 01:07:39,880 --> 01:07:42,240 Speaker 1: on Twitter at Daily Zi Guys. We're at the dailies 1157 01:07:42,280 --> 01:07:45,360 Speaker 1: at Geist on Instagram. We have a Facebook fan page 1158 01:07:45,520 --> 01:07:48,120 Speaker 1: and a website, Daily zi guys dot com, where we 1159 01:07:48,200 --> 01:07:51,680 Speaker 1: post our episodes on our footnote where we link off 1160 01:07:51,720 --> 01:07:55,280 Speaker 1: to the information that we talked about in today's episode, 1161 01:07:55,400 --> 01:07:59,440 Speaker 1: as well as a song that we think you might enjoy. Miles, 1162 01:07:59,480 --> 01:08:01,680 Speaker 1: what song sending people to go, Oh, this is a 1163 01:08:01,760 --> 01:08:04,840 Speaker 1: treat and maybe a treat for people who love, you know, 1164 01:08:05,080 --> 01:08:09,200 Speaker 1: dub reggae, old school you know Trojan type stuff from 1165 01:08:09,240 --> 01:08:12,040 Speaker 1: back in the day. But there's this artist named paccy 1166 01:08:12,160 --> 01:08:15,360 Speaker 1: Man and I played a song, well the fun I've 1167 01:08:15,360 --> 01:08:18,400 Speaker 1: never heard of this like dub artist. This is this dude, 1168 01:08:18,439 --> 01:08:22,599 Speaker 1: Patty Garcia, who's this Puerto Rican artist who is currently 1169 01:08:22,800 --> 01:08:28,320 Speaker 1: making like reggae dubbed songs, but like quite literally honoring 1170 01:08:28,400 --> 01:08:32,600 Speaker 1: the same recording techniques of the of his predecessors, and 1171 01:08:32,960 --> 01:08:37,519 Speaker 1: it sounds so authentically just like of the time. It 1172 01:08:37,640 --> 01:08:40,479 Speaker 1: blows my mind. And I just love like when musicians 1173 01:08:40,520 --> 01:08:43,240 Speaker 1: and producers put in like that level of effort to 1174 01:08:43,360 --> 01:08:46,439 Speaker 1: really try and replicate like to the like the tape 1175 01:08:46,479 --> 01:08:49,559 Speaker 1: sound or the tape they use to get these tracks going. 1176 01:08:49,920 --> 01:08:51,840 Speaker 1: So this is a modern song that you're gonna think 1177 01:08:51,880 --> 01:08:55,439 Speaker 1: came out of the fucking late sixties early seventies from Jamaica, 1178 01:08:55,479 --> 01:08:58,920 Speaker 1: but it's actually uh patchy man p A c h 1179 01:08:59,120 --> 01:09:02,200 Speaker 1: y mn. And this track is called Guy Goodwin and 1180 01:09:02,320 --> 01:09:04,800 Speaker 1: all this stuff is just so dope to listen to. Um. 1181 01:09:05,000 --> 01:09:07,800 Speaker 1: And if you like that group Krungbin, who I've called 1182 01:09:07,840 --> 01:09:10,240 Speaker 1: out a few times on the show, he's actually touring 1183 01:09:10,520 --> 01:09:12,960 Speaker 1: with them. Um, So that's I would probably be a 1184 01:09:13,000 --> 01:09:16,080 Speaker 1: dope show to check out. Yeah. Alright, Well, the Daily 1185 01:09:16,240 --> 01:09:18,360 Speaker 1: Zy guys the production of I Heart Radio. For more 1186 01:09:18,479 --> 01:09:21,360 Speaker 1: podcasts for my Heart Radio, visit the I Heart Radio app, 1187 01:09:21,680 --> 01:09:24,360 Speaker 1: Apple podcast, or wherever you're listening to your favorite shows. 1188 01:09:24,560 --> 01:09:26,720 Speaker 1: That's gonna do it for us this morning. But hey, 1189 01:09:26,800 --> 01:09:29,919 Speaker 1: we're back this afternoon to tell you what is trending 1190 01:09:30,080 --> 01:09:31,560 Speaker 1: and we'll talk to you all then, by B.