1 00:00:00,080 --> 00:00:02,960 Speaker 1: Hello the Internet, and welcome to season two thirty six, 2 00:00:03,000 --> 00:00:07,360 Speaker 1: Episode four of Dirt Daily. Like guys, it's a production 3 00:00:07,360 --> 00:00:09,119 Speaker 1: of I Heart Radio. This is a podcast where we 4 00:00:09,200 --> 00:00:11,560 Speaker 1: take a deep dive into America's shared consciousness. And it 5 00:00:11,680 --> 00:00:19,480 Speaker 1: is Thursday, May twelve. What does that mean? May twelve twelve, 6 00:00:19,680 --> 00:00:23,320 Speaker 1: made the twelfth with you whom National Fibro Milgio wearing 7 00:00:23,360 --> 00:00:29,400 Speaker 1: his day. It's also National Odometer Day, National Limerick Day, 8 00:00:29,680 --> 00:00:33,279 Speaker 1: Limerick Day. Yeah, hell yeah, hit me, hit me with 9 00:00:33,320 --> 00:00:36,800 Speaker 1: an improvised Limerick. Oh man. There once was a man 10 00:00:36,920 --> 00:00:40,040 Speaker 1: from Nantucket there who had a shirt so long he 11 00:00:40,080 --> 00:00:44,240 Speaker 1: couldn't tuck it um And he said, with a grin 12 00:00:44,280 --> 00:00:47,320 Speaker 1: as he wiped off his chin, if my shirt was 13 00:00:47,400 --> 00:00:49,800 Speaker 1: a blouse, I could tuck it there. It is so 14 00:00:51,159 --> 00:00:55,040 Speaker 1: and that's why we love Limerick. My name is Jack O'Brien. 15 00:00:55,080 --> 00:00:59,720 Speaker 1: A K. You've got to pick up every switch. You 16 00:01:00,040 --> 00:01:04,560 Speaker 1: have to pick up every switch. Nintendo about to make 17 00:01:04,680 --> 00:01:11,960 Speaker 1: it rich. Oh no, must be the Season of the Switch. Yeah, 18 00:01:12,640 --> 00:01:15,880 Speaker 1: that is courtesy of Roman King a song called Season 19 00:01:15,920 --> 00:01:20,400 Speaker 1: of the Witch by Donovan. And you know a reference 20 00:01:20,440 --> 00:01:22,400 Speaker 1: to the fact that not only do I play which 21 00:01:22,520 --> 00:01:26,000 Speaker 1: I I pick up every everyone what you know the 22 00:01:26,040 --> 00:01:28,800 Speaker 1: switch shelves stay bad because of me. Yeah, and you 23 00:01:28,840 --> 00:01:30,560 Speaker 1: told me, you said, you know you can you can 24 00:01:30,600 --> 00:01:32,880 Speaker 1: buy physical media, but you know, load up on those 25 00:01:33,080 --> 00:01:35,760 Speaker 1: those five club gigabyte d cars man, because that's where 26 00:01:35,760 --> 00:01:37,360 Speaker 1: a lot of your media is. Gonno. I was like, yeah, 27 00:01:37,360 --> 00:01:40,480 Speaker 1: that's good. That's a good point, jack Man. I can't 28 00:01:40,520 --> 00:01:42,679 Speaker 1: believe you. Remember what I said. You worked for work 29 00:01:43,200 --> 00:01:45,160 Speaker 1: the five You said, this are you gonna do? You're 30 00:01:45,160 --> 00:01:47,480 Speaker 1: gonna buy two six and then that's gonna be enough, 31 00:01:47,480 --> 00:01:48,880 Speaker 1: and then you go to four hundred and then that's 32 00:01:48,880 --> 00:01:50,280 Speaker 1: not gonna be enough when you should have just bought 33 00:01:50,320 --> 00:01:53,160 Speaker 1: five twelves from the jump. I wish I was ever 34 00:01:53,360 --> 00:01:56,800 Speaker 1: confident and competent enough to say the phrase, this is 35 00:01:56,840 --> 00:01:59,920 Speaker 1: what you're gonna do for somebody. I think I probably 36 00:02:00,120 --> 00:02:03,240 Speaker 1: was that confident while drunk at one point, but I've 37 00:02:03,240 --> 00:02:05,520 Speaker 1: never You don't even that confident when you talk about 38 00:02:05,560 --> 00:02:09,840 Speaker 1: reheating pizza slices. Yeah, it's true. I'm definitely. You were like, 39 00:02:09,919 --> 00:02:11,440 Speaker 1: here's what you do, and I was like, go on, 40 00:02:12,600 --> 00:02:14,800 Speaker 1: you get a pan, get a little drip of water 41 00:02:15,080 --> 00:02:20,560 Speaker 1: covering water comes in after a minute miles, don't people? 42 00:02:20,639 --> 00:02:23,079 Speaker 1: They gotta you gotta get it hot and crispy first. 43 00:02:23,560 --> 00:02:25,280 Speaker 1: They can put a drip of water on and that 44 00:02:25,320 --> 00:02:29,320 Speaker 1: fluffs the cross right at the end. Confidence back and 45 00:02:29,360 --> 00:02:31,400 Speaker 1: I'm thrilled to be joined as always buy my co 46 00:02:31,520 --> 00:02:36,320 Speaker 1: host Mr Miles gra It kind of feels like I 47 00:02:36,440 --> 00:02:40,600 Speaker 1: lost all my money on these fucking n f T 48 00:02:40,840 --> 00:02:45,160 Speaker 1: s Oh. I kind of feel like I got no 49 00:02:45,320 --> 00:02:53,880 Speaker 1: more money fucking with cryptocurrcy. Oh damn. It hurts, and 50 00:02:53,919 --> 00:02:56,839 Speaker 1: it feels so good. Honestly, it's bad. I've been looking 51 00:02:56,880 --> 00:02:58,520 Speaker 1: at some of I've been you know, I've been lurking 52 00:02:58,520 --> 00:03:02,480 Speaker 1: on some of these website. It's in the exchanges. It's 53 00:03:02,520 --> 00:03:04,880 Speaker 1: it's grim, like a lot of people have lost a 54 00:03:05,040 --> 00:03:08,600 Speaker 1: lot of money. And that's when you're like, oh, god man, 55 00:03:08,680 --> 00:03:11,160 Speaker 1: these poor fucking people who are like I put my 56 00:03:11,200 --> 00:03:18,160 Speaker 1: whole four oh one K into this. You're like, oh no, no, no, no, no, Now, 57 00:03:18,400 --> 00:03:20,200 Speaker 1: fidelities out here trying to be like, we want to 58 00:03:20,200 --> 00:03:23,239 Speaker 1: have crypto be part of our four oh one k portfolios. 59 00:03:23,240 --> 00:03:28,880 Speaker 1: You're like, no, the funk you don't. The password is fidelity. Yeah. Well, 60 00:03:28,960 --> 00:03:31,720 Speaker 1: you know. The one silver lining is, of course that 61 00:03:31,800 --> 00:03:35,640 Speaker 1: the crypto crash, the n f T Ponzi scheme that 62 00:03:35,680 --> 00:03:39,200 Speaker 1: we're all living through will create some great art. Like 63 00:03:39,280 --> 00:03:42,400 Speaker 1: people just who are hurt, who are going through it, 64 00:03:42,400 --> 00:03:44,160 Speaker 1: It's going to create some great art. Just like I 65 00:03:44,160 --> 00:03:46,920 Speaker 1: think there's n f T s, there's gonna be n 66 00:03:46,960 --> 00:03:50,040 Speaker 1: f t s of people's panicked tweets to be like, dude, 67 00:03:50,080 --> 00:03:52,280 Speaker 1: you want to buy these ones where they thought n 68 00:03:52,320 --> 00:03:56,040 Speaker 1: f t s were busted? You want that one now? Well, Miles, 69 00:03:56,040 --> 00:03:58,080 Speaker 1: we're thrilled to be joined in our third seat by 70 00:03:58,080 --> 00:04:00,240 Speaker 1: a hilarious comedian, one of our favorite guests and t 71 00:04:00,400 --> 00:04:02,880 Speaker 1: d Z Dave Girl Wants touched her arm and said, hey, 72 00:04:02,880 --> 00:04:05,920 Speaker 1: you're pretty funny. You can see her on stages everywhere 73 00:04:05,960 --> 00:04:13,440 Speaker 1: from California to London, Berlin, Singapore. It's Lydia Papa. I 74 00:04:13,480 --> 00:04:16,159 Speaker 1: can believe it. Here I am in the house. I 75 00:04:16,240 --> 00:04:18,640 Speaker 1: killed a tick that was trying to bite my leg 76 00:04:18,800 --> 00:04:20,760 Speaker 1: less than trying to five weeks ago, because I'm a 77 00:04:20,800 --> 00:04:25,000 Speaker 1: fucking savage out here in these streets in the woods 78 00:04:25,000 --> 00:04:28,160 Speaker 1: in Tennessee. Yeah, if you didn't know, bug season in 79 00:04:28,200 --> 00:04:32,279 Speaker 1: the South is real. Really, it's really real. Like, wait, 80 00:04:32,360 --> 00:04:34,479 Speaker 1: how do you fight a tick? Because usually in my mind, 81 00:04:34,520 --> 00:04:36,560 Speaker 1: ticks are only things you you encounter when you go 82 00:04:36,560 --> 00:04:41,320 Speaker 1: on a hike, or because I'm so concrete, this bold motherfucker, well, 83 00:04:41,360 --> 00:04:43,280 Speaker 1: I just I took the dog outside to play a 84 00:04:43,279 --> 00:04:45,440 Speaker 1: little ball, throw around in the grass in the front yard, 85 00:04:45,560 --> 00:04:48,160 Speaker 1: you know, in the down front yard. Come back in 86 00:04:48,320 --> 00:04:49,880 Speaker 1: of course, I, you know, tell her she's a very 87 00:04:49,880 --> 00:04:51,600 Speaker 1: good girl and that she's perfect, and I love her 88 00:04:51,600 --> 00:04:53,400 Speaker 1: and she's a beautiful little angel. And I kiss her 89 00:04:53,400 --> 00:04:55,279 Speaker 1: face and I hug her and I ruffle her little ears. 90 00:04:55,720 --> 00:04:57,160 Speaker 1: And then I sat down at my desk and then 91 00:04:57,160 --> 00:04:59,120 Speaker 1: I was like, I feel like somebody's crawling on my face. 92 00:04:59,800 --> 00:05:01,880 Speaker 1: And then I see something on my glasses. And then 93 00:05:01,880 --> 00:05:03,320 Speaker 1: I'm like, there's something on my glasses, and I take 94 00:05:03,320 --> 00:05:06,279 Speaker 1: my glasses off. This bold motherfucking tick jumped off my 95 00:05:06,400 --> 00:05:10,280 Speaker 1: dog had the dacity to jump onto my motherfucking face. 96 00:05:10,320 --> 00:05:12,680 Speaker 1: Sorry with all the motherfucker's, but this motherfucker jumped on 97 00:05:12,720 --> 00:05:14,960 Speaker 1: my face. And then I saw him climbing on my glasses. 98 00:05:14,960 --> 00:05:16,320 Speaker 1: So I threw my glasses on my desk and he 99 00:05:16,400 --> 00:05:18,159 Speaker 1: jumped off my glasses. And then I had matches on 100 00:05:18,200 --> 00:05:19,920 Speaker 1: my desk because I smoked weed, and I lit a 101 00:05:19,960 --> 00:05:22,320 Speaker 1: motherfucking match and then I burnt that bitch because they 102 00:05:22,680 --> 00:05:25,080 Speaker 1: don't like you can try to squish them, but like 103 00:05:25,160 --> 00:05:28,600 Speaker 1: they just don't squish. Like people don't realize that ticks 104 00:05:28,720 --> 00:05:32,400 Speaker 1: are like they're like little tanks. They're like cockroaches where 105 00:05:32,400 --> 00:05:34,120 Speaker 1: you know, you really got to want to kill them. 106 00:05:34,440 --> 00:05:36,120 Speaker 1: That's how you get them. If they burn into your skin, 107 00:05:36,160 --> 00:05:39,280 Speaker 1: you kind of gotta burn them out to get them 108 00:05:39,520 --> 00:05:42,599 Speaker 1: to give up on it. Yeah, So I burned that 109 00:05:42,600 --> 00:05:45,440 Speaker 1: bitch on my desk and was just like like just 110 00:05:45,640 --> 00:05:47,280 Speaker 1: I was horrified because I was like it was on 111 00:05:47,320 --> 00:05:50,919 Speaker 1: my face and then I stripped off all of my 112 00:05:50,960 --> 00:05:53,039 Speaker 1: clothes and changed my clothes before we started this podcast 113 00:05:53,080 --> 00:05:54,640 Speaker 1: because I was like I could be covered in ticks 114 00:05:54,720 --> 00:05:57,080 Speaker 1: right now, but I know it's because I kissed her 115 00:05:57,120 --> 00:05:59,080 Speaker 1: and it jumped off of her and she has meds, 116 00:05:59,200 --> 00:06:02,080 Speaker 1: so like you know they'll be all right, right, but still, 117 00:06:02,279 --> 00:06:04,760 Speaker 1: these guys get those tick meds. Gotta start taking your 118 00:06:04,800 --> 00:06:07,400 Speaker 1: dugs tick medication. That's what I'm thinking. Like we've had 119 00:06:07,480 --> 00:06:09,520 Speaker 1: people out here and like the last two house casts 120 00:06:09,520 --> 00:06:11,200 Speaker 1: of like called this afterwards, I'm like, yeah, I picked 121 00:06:11,200 --> 00:06:12,800 Speaker 1: three ticks off my body and I'm like, well, I 122 00:06:12,839 --> 00:06:17,600 Speaker 1: told you to wear long pants. Yeah, And I'm like, 123 00:06:17,640 --> 00:06:19,440 Speaker 1: if we're gonna go shooting, and we're gonna go, you know, 124 00:06:19,560 --> 00:06:21,360 Speaker 1: the ranges out in the wood, so it's like you're 125 00:06:21,360 --> 00:06:24,320 Speaker 1: gonna you're gonna get some stragglers, you know what I mean. 126 00:06:24,320 --> 00:06:26,080 Speaker 1: But Mida mass is out there also in shorts and 127 00:06:26,080 --> 00:06:27,680 Speaker 1: a tank top. Because I'm an idiot. So it's kind 128 00:06:27,680 --> 00:06:31,039 Speaker 1: of my fault to you thought you were safe out there. 129 00:06:31,200 --> 00:06:33,479 Speaker 1: Really was like, it's the short grass, you know, it'll 130 00:06:33,520 --> 00:06:36,120 Speaker 1: be fine. Nope, not fine. I got a question. What's 131 00:06:36,120 --> 00:06:39,839 Speaker 1: the end game for ticks there? So they burrow in, 132 00:06:40,720 --> 00:06:44,640 Speaker 1: they stick their whole fucking head into your under your skin, 133 00:06:45,120 --> 00:06:47,000 Speaker 1: and that like, isn't that the thing that like, that's 134 00:06:47,000 --> 00:06:48,800 Speaker 1: why I need to be so careful pulling them out, 135 00:06:48,839 --> 00:06:52,200 Speaker 1: is because their whole head will come off if you like, 136 00:06:52,320 --> 00:06:55,640 Speaker 1: what then are you thinking? I feel like they're like 137 00:06:55,720 --> 00:07:00,360 Speaker 1: the deadbeat dudes of the insect right, Like they show 138 00:07:00,440 --> 00:07:02,359 Speaker 1: up and they seem cool and they're like all beefy 139 00:07:02,360 --> 00:07:03,720 Speaker 1: and they're like, yeah, man, I just need to like 140 00:07:03,760 --> 00:07:05,240 Speaker 1: spend them out of your house or like take a 141 00:07:05,240 --> 00:07:07,000 Speaker 1: shower or whatever, and the next thing you know, they've 142 00:07:07,000 --> 00:07:09,280 Speaker 1: burrowed their fucking head into your couch and they never leave, 143 00:07:09,440 --> 00:07:11,960 Speaker 1: like until they die or you get them out, Like 144 00:07:12,080 --> 00:07:14,880 Speaker 1: I think they're they just their users, Like they just 145 00:07:14,920 --> 00:07:17,320 Speaker 1: suck blood and then they suck so much blood they explode, 146 00:07:17,400 --> 00:07:21,160 Speaker 1: like they turn into like grapes, like grapes size ticks. 147 00:07:21,320 --> 00:07:23,440 Speaker 1: And then what do they do? They go back and 148 00:07:23,720 --> 00:07:28,400 Speaker 1: just like they roll home and are just like worthless? 149 00:07:28,880 --> 00:07:30,520 Speaker 1: Do they take the blood back to their family and 150 00:07:30,560 --> 00:07:32,880 Speaker 1: just like all over it and then it's just like 151 00:07:33,280 --> 00:07:36,400 Speaker 1: carry in a tick living room. I don't know. Mosquitoes 152 00:07:36,480 --> 00:07:39,120 Speaker 1: at least are efficient. You know, they get in and 153 00:07:39,160 --> 00:07:41,680 Speaker 1: they get out. They you don't just like turn turn 154 00:07:41,760 --> 00:07:43,720 Speaker 1: your arm and like there's been one there for like 155 00:07:43,760 --> 00:07:47,320 Speaker 1: a week and it's like five pounds, and they're like 156 00:07:47,520 --> 00:07:50,160 Speaker 1: they need the blood for the babies because if they're 157 00:07:50,200 --> 00:07:53,640 Speaker 1: taking the females that bite right on mosquitoes, ohn't know, man, 158 00:07:53,920 --> 00:07:55,600 Speaker 1: what are they trying to lay eggs? Inst two ticks 159 00:07:55,680 --> 00:07:58,480 Speaker 1: lay eggs and you I don't think so because I 160 00:07:58,520 --> 00:08:02,040 Speaker 1: feel like I would have heard of that, right, Spiders 161 00:08:02,080 --> 00:08:04,920 Speaker 1: do famous, Yeah, And that one girl was taking a 162 00:08:04,920 --> 00:08:07,720 Speaker 1: shower at one time and well we all know what happened. 163 00:08:07,960 --> 00:08:12,720 Speaker 1: Scratched a little bump and baby spiders came pouring out. 164 00:08:13,280 --> 00:08:15,880 Speaker 1: I would cut off my fucking arm, just be like, 165 00:08:15,960 --> 00:08:21,360 Speaker 1: and we're done with this arm. I don't please forever, no, no, no, 166 00:08:21,400 --> 00:08:24,520 Speaker 1: I will rock that stuff from the spiders were in there. 167 00:08:24,560 --> 00:08:27,880 Speaker 1: I can't. We're never doing this again. Gotta ask you, Lydia, 168 00:08:28,000 --> 00:08:32,679 Speaker 1: what do you think of your goddess Dolly Parton's announcement 169 00:08:32,679 --> 00:08:37,240 Speaker 1: about Taco Bell the Mexican Pizza musical. What from your perspective, 170 00:08:37,280 --> 00:08:40,439 Speaker 1: what's going on there? She's a She's the queen, dude. 171 00:08:40,480 --> 00:08:43,640 Speaker 1: This is so fucking smart, like honestly, like that was 172 00:08:43,679 --> 00:08:46,480 Speaker 1: when the Mexican pizza came back. I was like, you 173 00:08:46,520 --> 00:08:48,720 Speaker 1: can't tell me she's not a walking saint on this earth. 174 00:08:49,080 --> 00:08:51,080 Speaker 1: Like we've all been missing that pizza. I fucking love 175 00:08:51,160 --> 00:08:52,800 Speaker 1: that Mexican pizza. I don't even like Taco Bell, but 176 00:08:52,800 --> 00:08:54,600 Speaker 1: I go there to get the Mexican pizza. Like when 177 00:08:54,600 --> 00:08:55,959 Speaker 1: I heard it was going away, I went and got 178 00:08:56,000 --> 00:08:58,199 Speaker 1: my last one and cried on that goddamn parking lot. 179 00:08:58,720 --> 00:09:01,560 Speaker 1: And then I saw her talking about it in an interview. 180 00:09:01,600 --> 00:09:03,320 Speaker 1: All that woman had to mention it in an interview 181 00:09:03,400 --> 00:09:06,360 Speaker 1: was just casually. I like the Mexican pizza and guess 182 00:09:06,360 --> 00:09:08,840 Speaker 1: what came back, The motherfucking Mexican pizza. So yes, we 183 00:09:08,880 --> 00:09:11,559 Speaker 1: need a musical to rejoice this, like let us all 184 00:09:11,600 --> 00:09:14,800 Speaker 1: sing together, we are the world. My question is this 185 00:09:15,320 --> 00:09:19,359 Speaker 1: is this genius business tactics because you can only imagine 186 00:09:19,400 --> 00:09:22,800 Speaker 1: what that dump truck of cash looked like? Or do 187 00:09:22,800 --> 00:09:25,760 Speaker 1: you think Dolly Parton is doing this because she truly 188 00:09:25,840 --> 00:09:29,240 Speaker 1: believes in it? And I'm fine either way because I'm like, honestly, 189 00:09:29,280 --> 00:09:31,199 Speaker 1: I think it's money. I think she's like, I think 190 00:09:31,240 --> 00:09:33,040 Speaker 1: she loves the pizza and thinks it's cute and then 191 00:09:33,120 --> 00:09:35,200 Speaker 1: was like, probably said no, and then they're like, here's 192 00:09:35,280 --> 00:09:36,880 Speaker 1: four dump trucks full of money, and she's like, oh, 193 00:09:36,920 --> 00:09:42,880 Speaker 1: I'll sing about a fucking pizza. Mean, there's nothing that 194 00:09:42,960 --> 00:09:45,760 Speaker 1: lady loves more than money and an opportunity to come 195 00:09:45,840 --> 00:09:47,920 Speaker 1: up with a clever twist of words. So I cannot 196 00:09:48,000 --> 00:09:50,800 Speaker 1: wait for like what look cute tongue in cheek ship 197 00:09:50,920 --> 00:09:53,880 Speaker 1: she's gonna be singing about Mexican pizza. It's it's probably 198 00:09:53,920 --> 00:09:57,360 Speaker 1: gonna be barely tolerable, but I can't wait. I even 199 00:09:57,920 --> 00:09:59,960 Speaker 1: for a commercial. I heard she wrote the entire Mexic 200 00:10:00,000 --> 00:10:05,440 Speaker 1: compete in musical in five minutes she wrote she wrote it. Yeah, 201 00:10:05,440 --> 00:10:07,120 Speaker 1: she wrote it on the top of the pizza box, 202 00:10:07,960 --> 00:10:11,439 Speaker 1: right right, right, two crunches of it. Yeah. She's like, oh, 203 00:10:11,480 --> 00:10:13,640 Speaker 1: that bite sounds like a melody. Crunch crunch, crunch, crunch, 204 00:10:13,679 --> 00:10:20,720 Speaker 1: crunch crunch. She's like print ta yeah, yeah, exactly. And 205 00:10:20,760 --> 00:10:22,720 Speaker 1: she's like, oh, when they're covered in sauce, it's a 206 00:10:22,760 --> 00:10:26,800 Speaker 1: different sound. All right Lydia, we're gonna get to know 207 00:10:26,800 --> 00:10:28,280 Speaker 1: you a little bit better in a moment. First, we're 208 00:10:28,320 --> 00:10:30,319 Speaker 1: gonna tell our listeners a couple of things we're talking 209 00:10:30,320 --> 00:10:33,800 Speaker 1: about today. We're talking about gen Z and the tech 210 00:10:33,840 --> 00:10:37,240 Speaker 1: savvy fighting back against union busting companies. We're talking about 211 00:10:37,320 --> 00:10:43,120 Speaker 1: Susan Collins. Is Susan Collins in this just general republican this. 212 00:10:43,640 --> 00:10:47,959 Speaker 1: But we're gonna talk about like the the grummer rhetoric 213 00:10:48,080 --> 00:10:51,400 Speaker 1: that's coming out of the right is really scary. So 214 00:10:51,720 --> 00:10:54,680 Speaker 1: I wanted to talk about like why why that's so 215 00:10:54,960 --> 00:10:58,800 Speaker 1: scary and dangerous? All that plenty more. But first Lydia, 216 00:10:58,920 --> 00:11:02,000 Speaker 1: we do like task our guessd what is something from 217 00:11:02,040 --> 00:11:06,280 Speaker 1: your search history? Okay, I'm gonna be real extra honest today. 218 00:11:06,600 --> 00:11:08,800 Speaker 1: This is this is this is me being very vulnerable. 219 00:11:08,960 --> 00:11:10,880 Speaker 1: I don't think it's gonna surprise anyone, but you know, 220 00:11:10,920 --> 00:11:14,000 Speaker 1: it's something maybe people wouldn't talk about. I I googled 221 00:11:14,679 --> 00:11:17,000 Speaker 1: yesterday because I hadn't really done any googling today, but 222 00:11:17,080 --> 00:11:22,480 Speaker 1: yesterday I googled h Jesse Williams nude images the twitters 223 00:11:23,120 --> 00:11:24,560 Speaker 1: and I was like, what's wrong? And then I was like, oh, 224 00:11:24,600 --> 00:11:26,600 Speaker 1: he's in a play. That means it's good dick. Like 225 00:11:26,640 --> 00:11:28,720 Speaker 1: they don't ask you to get naked unless you got 226 00:11:28,840 --> 00:11:31,920 Speaker 1: good dick. And I never really like, he's not an 227 00:11:31,960 --> 00:11:34,199 Speaker 1: unattractive man, but like he's not really my vibe, you 228 00:11:34,240 --> 00:11:35,840 Speaker 1: know what I mean, Like he sure he's got those 229 00:11:35,920 --> 00:11:37,720 Speaker 1: nice light eyes, like I'm here for it, that's fine, 230 00:11:38,040 --> 00:11:39,920 Speaker 1: but would never you know, I was like, what is 231 00:11:39,920 --> 00:11:42,480 Speaker 1: he working? What what's going on? It didn't yield any results, 232 00:11:42,520 --> 00:11:46,319 Speaker 1: but this morning on Twitter, Oh thank you algorithm, there 233 00:11:46,360 --> 00:11:48,360 Speaker 1: was somebody that had you know that posted, you know, 234 00:11:48,400 --> 00:11:50,880 Speaker 1: a repost of a repost. So I finally got to 235 00:11:50,880 --> 00:11:53,800 Speaker 1: see that dick and god damn, is that a good dick? 236 00:11:54,040 --> 00:11:56,840 Speaker 1: I did not like it might have been the angle, 237 00:11:57,040 --> 00:11:59,439 Speaker 1: I don't know, but it was like I haven't been 238 00:11:59,640 --> 00:12:01,720 Speaker 1: this cited about seeing a penis that I didn't think 239 00:12:01,760 --> 00:12:04,960 Speaker 1: I would like since I saw Bonnie Bobby Connor Volley's 240 00:12:05,000 --> 00:12:07,559 Speaker 1: dick and fucking goddamn it, what was that show? It 241 00:12:07,600 --> 00:12:08,920 Speaker 1: was like a show I didn't watch forever. And then 242 00:12:08,960 --> 00:12:12,320 Speaker 1: it's like he's like a fucking killer. Oh Boardwalk Empire. 243 00:12:12,800 --> 00:12:17,800 Speaker 1: Oh yeah, I didn't know that. Yeah. There's like a 244 00:12:17,840 --> 00:12:20,360 Speaker 1: scene where he's basically like fucking this bitch and like 245 00:12:20,880 --> 00:12:22,120 Speaker 1: dudes come in to kind of kill him and he 246 00:12:22,160 --> 00:12:24,120 Speaker 1: gets up out of the bed like literally like strokes 247 00:12:24,120 --> 00:12:27,320 Speaker 1: are down, like pulls out and then fucking just starts 248 00:12:27,679 --> 00:12:30,040 Speaker 1: blasting guns kills dude. He's covered in blood and he's 249 00:12:30,080 --> 00:12:31,880 Speaker 1: walking on the hallway and they're shooting it from the top. 250 00:12:31,960 --> 00:12:34,319 Speaker 1: So you just kind of see like a semihard dick 251 00:12:34,440 --> 00:12:36,840 Speaker 1: just covered in blood, like in guns and that's my ship. 252 00:12:37,080 --> 00:12:41,520 Speaker 1: So I wasting blood and guns. Just his dick is 253 00:12:41,559 --> 00:12:46,160 Speaker 1: also magnetic and has a done gun. It's like we 254 00:12:46,280 --> 00:12:48,920 Speaker 1: got you, you know, his balls a underneath with six shooters. 255 00:12:49,080 --> 00:12:52,000 Speaker 1: It was amazing. That is a great question you you 256 00:12:52,160 --> 00:12:55,520 Speaker 1: kind of posed, is what comes first when you're casting 257 00:12:55,600 --> 00:12:59,440 Speaker 1: somebody who's going to show their dick, Like do they 258 00:13:00,320 --> 00:13:03,440 Speaker 1: do they need to have seen the dick first before 259 00:13:03,800 --> 00:13:06,880 Speaker 1: they bring them in to that role. Is it part 260 00:13:06,920 --> 00:13:10,120 Speaker 1: of the casting process or has there ever been a 261 00:13:10,160 --> 00:13:13,200 Speaker 1: situation where they cast someone for a role and then 262 00:13:13,240 --> 00:13:16,720 Speaker 1: they're like, oh, we're going to have to recast here. 263 00:13:16,800 --> 00:13:20,480 Speaker 1: That is here's where I wasn't originally in the piano. 264 00:13:22,960 --> 00:13:27,400 Speaker 1: There's no nudity planned, and they're like, hold up, don't 265 00:13:27,559 --> 00:13:29,640 Speaker 1: I'm gonna need you just to stay. Just like that, 266 00:13:30,920 --> 00:13:33,680 Speaker 1: I should have knocked before it came to the trailer. However, 267 00:13:33,840 --> 00:13:36,760 Speaker 1: I'm glad i'm here. I think there's a difference between 268 00:13:36,760 --> 00:13:38,640 Speaker 1: the stage and the screen, right. I think if it's 269 00:13:38,640 --> 00:13:41,320 Speaker 1: for like a movie or a TV, it's probably like, hey, 270 00:13:41,360 --> 00:13:43,520 Speaker 1: there's some nudity. Are you comfortable with that? I don't 271 00:13:43,520 --> 00:13:45,640 Speaker 1: think there's discussion because you can shoot it from angles, 272 00:13:45,640 --> 00:13:49,320 Speaker 1: you can light it. But on the stage. On the stage, 273 00:13:49,360 --> 00:13:52,079 Speaker 1: there's no lies, right, you know what I mean? You 274 00:13:52,160 --> 00:13:55,280 Speaker 1: gotta have at least something that presents itself. You know 275 00:13:55,280 --> 00:13:56,760 Speaker 1: what I mean. You can't draw eyeland or in a 276 00:13:56,840 --> 00:13:58,120 Speaker 1: dick so you can see it from the back of 277 00:13:58,120 --> 00:14:00,280 Speaker 1: the room, do you know what I'm saying? Like, there's 278 00:14:00,320 --> 00:14:03,439 Speaker 1: no jumbo trauma at the play, you know, the playhouse. 279 00:14:03,920 --> 00:14:05,599 Speaker 1: So I feel like in that state case, it's like 280 00:14:05,640 --> 00:14:07,640 Speaker 1: do you have the acting chops? Okay, now let's see 281 00:14:07,640 --> 00:14:11,200 Speaker 1: that dick that doesn't play from the stage, doesn't play 282 00:14:11,240 --> 00:14:12,839 Speaker 1: from the stage. Yeah, we need to see you. Can 283 00:14:12,840 --> 00:14:16,400 Speaker 1: you hit your mark please? Yes, Dick? Really, it doesn't 284 00:14:16,520 --> 00:14:18,400 Speaker 1: it just you know, and it was glistening and it 285 00:14:18,440 --> 00:14:20,320 Speaker 1: was all wet and shipped. It was like fucking uh 286 00:14:20,520 --> 00:14:22,640 Speaker 1: flash dance, but like he was all in like a shower, 287 00:14:22,680 --> 00:14:26,160 Speaker 1: but just like standing up, just like very bold and yeah, man, 288 00:14:26,280 --> 00:14:28,760 Speaker 1: it looked great. I might just feel like an attraction 289 00:14:28,840 --> 00:14:33,080 Speaker 1: thing there where like the right performer will be drawn 290 00:14:33,120 --> 00:14:36,120 Speaker 1: to that role and the and you know, like you 291 00:14:36,160 --> 00:14:40,160 Speaker 1: don't have somebody who's like nod rather rather not like 292 00:14:40,200 --> 00:14:42,280 Speaker 1: what if we what if we didn't do that the 293 00:14:42,480 --> 00:14:45,360 Speaker 1: whole section of the play. You know. Well, And it's 294 00:14:45,400 --> 00:14:48,160 Speaker 1: interesting because like he doesn't like carry himself with big 295 00:14:48,160 --> 00:14:50,440 Speaker 1: dick energy, you know what I mean. And maybe he's 296 00:14:50,480 --> 00:14:52,640 Speaker 1: just maybe he's a shower and not a grower. I mean, 297 00:14:52,680 --> 00:14:55,280 Speaker 1: I don't know how the thing works, but like it's 298 00:14:55,360 --> 00:14:57,200 Speaker 1: like he was upset. He was like really concerned about 299 00:14:57,200 --> 00:14:59,080 Speaker 1: like people an audience taking pictures of his dick, and 300 00:14:59,080 --> 00:15:00,920 Speaker 1: I'm like, why bro, But I'm like, oh, because now 301 00:15:00,920 --> 00:15:03,600 Speaker 1: your secrets out, you know what I mean. Jesse Williams 302 00:15:03,640 --> 00:15:05,960 Speaker 1: was saying, though, you're right, he said that before he 303 00:15:06,000 --> 00:15:08,280 Speaker 1: was going to do that while he's terrified. But he says, 304 00:15:08,360 --> 00:15:10,560 Speaker 1: then then I I guess he was on Andy Kole. 305 00:15:10,640 --> 00:15:13,720 Speaker 1: Then I saw my dick. Then I noted that that 306 00:15:13,880 --> 00:15:16,880 Speaker 1: is what I asked God for. I asked to be terrified. 307 00:15:17,120 --> 00:15:19,440 Speaker 1: I asked to do something that was scary and challenging 308 00:15:19,440 --> 00:15:21,760 Speaker 1: and made me earn it and made me feel alive 309 00:15:21,840 --> 00:15:25,920 Speaker 1: and not comfortable. So yeah, I was terrified. I was 310 00:15:25,960 --> 00:15:29,400 Speaker 1: stressed out. I put my hands, my head in my hands, 311 00:15:29,600 --> 00:15:32,880 Speaker 1: and noticed that I had a giant, beautiful dick. And 312 00:15:35,000 --> 00:15:37,440 Speaker 1: then I was like, oh, no, we're good. Oh this 313 00:15:37,520 --> 00:15:40,040 Speaker 1: is this is great. Yeah. They showed me the film 314 00:15:40,040 --> 00:15:41,840 Speaker 1: and I was like, oh, I do have a great hog. 315 00:15:41,960 --> 00:15:44,960 Speaker 1: Let's put this on, let's do this. So yeah, man, 316 00:15:45,080 --> 00:15:47,280 Speaker 1: that's that's my search history. I was just trolling for 317 00:15:47,360 --> 00:15:49,280 Speaker 1: dicks this morning. I just was like, I gotta see 318 00:15:49,320 --> 00:15:51,040 Speaker 1: this thing. I gotta know what the fuss is about. 319 00:15:51,280 --> 00:15:56,120 Speaker 1: That's the net. What what is something you think is overrated. 320 00:15:57,320 --> 00:16:00,760 Speaker 1: You know this is controversial because everybody's doing it and 321 00:16:00,760 --> 00:16:04,400 Speaker 1: they love it. Travel. What are we doing? Why are 322 00:16:04,480 --> 00:16:07,280 Speaker 1: we going places? Why are we even getting our homes? 323 00:16:07,280 --> 00:16:10,480 Speaker 1: Like I'm I'm I'm, you know, traveling for comedy again 324 00:16:10,480 --> 00:16:12,600 Speaker 1: and I went to l A last weekend, came back 325 00:16:12,640 --> 00:16:15,240 Speaker 1: and it's just like I keep trying, you know what 326 00:16:15,280 --> 00:16:18,480 Speaker 1: I mean, and I'll it's just it's a lot, you 327 00:16:18,480 --> 00:16:19,760 Speaker 1: know what I mean. It's a lot. And I know 328 00:16:19,800 --> 00:16:21,440 Speaker 1: people are like, I want to get the fucking now 329 00:16:21,520 --> 00:16:23,440 Speaker 1: thieves and I'm gonna get walk in here, and I'm 330 00:16:23,480 --> 00:16:25,920 Speaker 1: just like, man, I can't even handle it, like it 331 00:16:26,040 --> 00:16:27,920 Speaker 1: just once you get out of the airport, it's okay, 332 00:16:27,960 --> 00:16:29,400 Speaker 1: but then it's like you're no whole new city. And 333 00:16:29,400 --> 00:16:31,120 Speaker 1: then it's like adjusting to the vibe of the city. 334 00:16:31,360 --> 00:16:33,440 Speaker 1: It's just a lot. But I'm I'm I'm using back 335 00:16:33,480 --> 00:16:36,000 Speaker 1: into it. But I'm I'm just I'm not a fan. 336 00:16:36,320 --> 00:16:38,080 Speaker 1: I don't. I don't like to travel like I used to. 337 00:16:38,200 --> 00:16:41,040 Speaker 1: I really don't. Is it because you have some like 338 00:16:41,120 --> 00:16:43,000 Speaker 1: you feel like you're living in it because you love 339 00:16:43,520 --> 00:16:45,280 Speaker 1: you know you ever since you moved even like I'm 340 00:16:45,320 --> 00:16:48,040 Speaker 1: fucking do you think maybe because you've kind of like 341 00:16:48,200 --> 00:16:50,840 Speaker 1: found it. You're vibrating at a new frequency too, So 342 00:16:50,920 --> 00:16:53,640 Speaker 1: maybe the travel blood lessons I think So I do 343 00:16:53,720 --> 00:16:55,320 Speaker 1: think that has something to do with it, because it's 344 00:16:55,320 --> 00:16:57,120 Speaker 1: like why would I leave, Like I'm so comfortable here, 345 00:16:57,160 --> 00:16:58,960 Speaker 1: Like I'm so on my element, like I love everything 346 00:16:58,960 --> 00:17:02,120 Speaker 1: that's happening, and then I leave and I'm like this sucks, 347 00:17:02,320 --> 00:17:05,120 Speaker 1: you know, And I come home and I'm like, thank god? 348 00:17:06,760 --> 00:17:10,480 Speaker 1: Do you think? Yeah, it's also just like the number 349 00:17:10,520 --> 00:17:14,080 Speaker 1: of people around. It's just like yeah, on a plane 350 00:17:14,480 --> 00:17:16,560 Speaker 1: just so, and now that people aren't wearing masks and ship, 351 00:17:16,640 --> 00:17:20,440 Speaker 1: it's like really full stupidity and full behaviors have come back. 352 00:17:21,119 --> 00:17:23,640 Speaker 1: And I'm just like, oh so we're just like fucking gross. 353 00:17:24,680 --> 00:17:28,320 Speaker 1: Just we're back to like square one, patient zero, disgusting, 354 00:17:28,800 --> 00:17:33,159 Speaker 1: Like have you learned nothing? Like there was a dude, maskless, 355 00:17:33,160 --> 00:17:35,199 Speaker 1: sucking raw dog took his fucking shoes off next to me, 356 00:17:35,280 --> 00:17:36,960 Speaker 1: was like peeling an egg. I was like, bro, do 357 00:17:36,960 --> 00:17:38,879 Speaker 1: you have a fucking sack full of tuna? Like what 358 00:17:38,920 --> 00:17:43,760 Speaker 1: are you doing? Like? Yeah? Another woman was changing her 359 00:17:43,840 --> 00:17:46,400 Speaker 1: baby on the seat next to her. I was like, bitch, 360 00:17:46,440 --> 00:17:48,199 Speaker 1: I know that bathroom is small, but like, do you 361 00:17:48,280 --> 00:17:50,199 Speaker 1: need to do we all need to be a part 362 00:17:50,240 --> 00:17:52,560 Speaker 1: of this diaper changing And it was a little boy too, 363 00:17:52,600 --> 00:17:54,320 Speaker 1: and you know how little boys me fucking popping off. 364 00:17:54,320 --> 00:17:55,399 Speaker 1: And I was just like, yo, if I get a 365 00:17:55,440 --> 00:17:57,480 Speaker 1: scored a piss over this seat, I swear to God 366 00:17:58,000 --> 00:18:00,280 Speaker 1: I will pump that baby into the bathroom and sucking 367 00:18:00,320 --> 00:18:03,760 Speaker 1: push you in there, like do not. I've never been 368 00:18:03,760 --> 00:18:05,639 Speaker 1: more on edge than looking between the seats behind me 369 00:18:05,640 --> 00:18:07,119 Speaker 1: and seeing a little baby dick and being like, what 370 00:18:07,160 --> 00:18:10,560 Speaker 1: the fund is happening like this at the bathroom? This 371 00:18:10,680 --> 00:18:14,159 Speaker 1: is not the bathroom, like baby fegle matter on a 372 00:18:14,240 --> 00:18:16,920 Speaker 1: seat like gross? Just everybody's hey, but you know what 373 00:18:17,000 --> 00:18:18,880 Speaker 1: this is what this is what the airline is doing 374 00:18:18,960 --> 00:18:22,000 Speaker 1: to keep you safe. We're sanitizing every surface. You're like, 375 00:18:22,040 --> 00:18:24,440 Speaker 1: do you also know somebody's ship was on this seat? 376 00:18:24,600 --> 00:18:28,800 Speaker 1: Are you shampooing the carpet that covers every seat and 377 00:18:29,840 --> 00:18:33,400 Speaker 1: underneath the seat? Plans are just so gross. It's just 378 00:18:33,400 --> 00:18:36,119 Speaker 1: just it's also, when was the last time you were 379 00:18:36,160 --> 00:18:38,879 Speaker 1: on a flight that wasn't like patched to the gills 380 00:18:38,920 --> 00:18:43,400 Speaker 1: with people? Never? Never? Actually the only thing so I'm 381 00:18:43,400 --> 00:18:44,639 Speaker 1: going to come out and say this, I used to 382 00:18:44,640 --> 00:18:47,040 Speaker 1: be a Southwest hater. Like Southwest, I was like fun 383 00:18:47,160 --> 00:18:50,440 Speaker 1: that greyhound in the sky. Whatever. You know. I'm statused 384 00:18:50,440 --> 00:18:53,680 Speaker 1: on other airlines, but I've flown Southwest, like the last 385 00:18:53,720 --> 00:18:55,480 Speaker 1: three times I've gone to l A just because it's 386 00:18:55,480 --> 00:18:58,040 Speaker 1: been cheaper and everyone else is hiking up their prices 387 00:18:58,080 --> 00:18:59,840 Speaker 1: and so I'm just like not paying for it. But 388 00:19:00,080 --> 00:19:02,680 Speaker 1: I did not realize the Southwest has a whole like 389 00:19:03,000 --> 00:19:05,320 Speaker 1: flying while fat policy. That's not what they call it, 390 00:19:05,359 --> 00:19:07,080 Speaker 1: but that's what I call it. They call it a 391 00:19:07,119 --> 00:19:09,080 Speaker 1: c O S policy. So this is just a hot 392 00:19:09,080 --> 00:19:12,959 Speaker 1: tip for fatties. If you fly Southwest, when you check in, 393 00:19:13,000 --> 00:19:14,840 Speaker 1: you can tell them I want to take advantage of 394 00:19:14,840 --> 00:19:17,919 Speaker 1: your CEOs policy, which means that they give you a 395 00:19:18,119 --> 00:19:21,040 Speaker 1: seat little card to put on the seat next to 396 00:19:21,080 --> 00:19:22,640 Speaker 1: you to say it so no one can sit there, 397 00:19:22,680 --> 00:19:24,520 Speaker 1: and they let you pre board, so that's in front 398 00:19:24,520 --> 00:19:27,080 Speaker 1: of the a's, so you pre board with like the 399 00:19:27,119 --> 00:19:29,000 Speaker 1: grandma's on the wheelchairs, and then you can choose whatever 400 00:19:29,000 --> 00:19:30,600 Speaker 1: seat you want and then you put that card next 401 00:19:30,600 --> 00:19:31,960 Speaker 1: to you and then no one can sit there. And 402 00:19:32,280 --> 00:19:34,880 Speaker 1: so even if it's a full fucking flight, you get 403 00:19:34,920 --> 00:19:36,919 Speaker 1: a seat between you, so you are the goddess that 404 00:19:36,960 --> 00:19:39,800 Speaker 1: has or the god that has two seats. And then 405 00:19:39,960 --> 00:19:43,000 Speaker 1: if you're a real you're a real one. You try 406 00:19:43,040 --> 00:19:45,080 Speaker 1: to signal another fatty he doesn't know about it, and 407 00:19:45,080 --> 00:19:46,800 Speaker 1: you will go a bit you want to sit here 408 00:19:46,800 --> 00:19:48,439 Speaker 1: because ain't no one sitting in the seat, and then 409 00:19:48,440 --> 00:19:50,240 Speaker 1: you make a new fat friend and then you're both happy. 410 00:19:50,240 --> 00:19:56,439 Speaker 1: In your high five video, somebody was like doing have 411 00:19:56,480 --> 00:19:58,280 Speaker 1: I talked about this already on the show, the guy 412 00:19:58,280 --> 00:20:00,960 Speaker 1: who was like, how to make sure nobody sits next 413 00:20:00,960 --> 00:20:04,440 Speaker 1: to you on a bus or like Southwest flight and 414 00:20:05,000 --> 00:20:08,200 Speaker 1: everybody who walks down the aisle just like makes eye 415 00:20:08,200 --> 00:20:10,960 Speaker 1: contact with them, smiles and then taps the seat next 416 00:20:11,640 --> 00:20:16,200 Speaker 1: next like inviting. Yeah, and everyone's just like fucking no 417 00:20:16,440 --> 00:20:19,640 Speaker 1: good yeah, or like caressed the seat that they didn't 418 00:20:19,760 --> 00:20:23,680 Speaker 1: like with like a finger, like yeah, I have to 419 00:20:23,800 --> 00:20:25,359 Speaker 1: just arm out, like you're just waiting for them to 420 00:20:25,359 --> 00:20:32,919 Speaker 1: sit out doing the yawn. So yeah, my my method 421 00:20:33,000 --> 00:20:35,720 Speaker 1: of just like not looking at anyone and hoping the 422 00:20:36,560 --> 00:20:39,120 Speaker 1: you know, I always used to pretend I was sick 423 00:20:40,000 --> 00:20:42,399 Speaker 1: because like I used to be mine too. Yeah, And 424 00:20:42,480 --> 00:20:44,000 Speaker 1: when I was working in politics, I have to go 425 00:20:44,040 --> 00:20:47,120 Speaker 1: to Sacramento so much to the capital that I got 426 00:20:47,160 --> 00:20:49,160 Speaker 1: like I had a rhythm. Getting on a Southwest flight, 427 00:20:49,200 --> 00:20:57,600 Speaker 1: I'd be like this, like so sick, like just water 428 00:20:57,680 --> 00:21:00,000 Speaker 1: in your face. Yeah, unless it was full people don't 429 00:21:00,080 --> 00:21:04,080 Speaker 1: to sit here somebody who's in a middle seat being like, oh, 430 00:21:04,119 --> 00:21:07,840 Speaker 1: I feel terrible. What is something you think is underrated? 431 00:21:08,520 --> 00:21:13,000 Speaker 1: All right? Man? The rumba. I bought a roomba, one 432 00:21:13,000 --> 00:21:15,600 Speaker 1: of those those vacuum robots, and you know they've been 433 00:21:15,600 --> 00:21:17,640 Speaker 1: around for a long time, but I'm like, like, how 434 00:21:17,680 --> 00:21:19,560 Speaker 1: hard is it to vacuum for yourself? What's a big deal? 435 00:21:19,840 --> 00:21:22,280 Speaker 1: Granted I haven't been a dog owner until this year, 436 00:21:22,440 --> 00:21:24,359 Speaker 1: and like the ive been of owned cats and like 437 00:21:24,359 --> 00:21:26,320 Speaker 1: catshoed like a motherfucker. But I always just was like 438 00:21:26,359 --> 00:21:28,800 Speaker 1: on top of it, sweeping whatever. And maybe it's also 439 00:21:28,800 --> 00:21:30,320 Speaker 1: because now I have a very large house and like 440 00:21:30,359 --> 00:21:32,600 Speaker 1: the square footage is just overwhelming. But I was literally 441 00:21:32,640 --> 00:21:34,560 Speaker 1: having breakdowns once a day because I was like, I 442 00:21:34,680 --> 00:21:38,000 Speaker 1: just swept. What happened? What is I can't like literally 443 00:21:38,000 --> 00:21:40,520 Speaker 1: losing my mind over keeping my force clean? And then 444 00:21:40,520 --> 00:21:44,280 Speaker 1: I bought this fucking rumba. Holy sh it, man, it 445 00:21:44,359 --> 00:21:46,000 Speaker 1: just gets everything like I said it to go at 446 00:21:46,040 --> 00:21:48,440 Speaker 1: a p m every night. Its sucking vacuums. It's loud 447 00:21:48,440 --> 00:21:50,639 Speaker 1: as ship, but I don't care because I wake up 448 00:21:50,640 --> 00:21:54,200 Speaker 1: to like clean floors like every it like it vacuums 449 00:21:54,240 --> 00:21:55,880 Speaker 1: up ship that I didn't even know it was there. 450 00:21:56,160 --> 00:21:58,320 Speaker 1: Like I can sweep and swift for my ass off. 451 00:21:58,359 --> 00:22:00,280 Speaker 1: And it's just like I feel like there's always dog there. 452 00:22:00,560 --> 00:22:02,240 Speaker 1: But when I empty that little room a thing, it's 453 00:22:02,280 --> 00:22:04,439 Speaker 1: just like chok full of dog here. And I'm like, okay, 454 00:22:04,440 --> 00:22:06,879 Speaker 1: so I'm not a psycho, like this is an egregious 455 00:22:06,880 --> 00:22:08,679 Speaker 1: amount of hair, but this thing is just making my 456 00:22:08,720 --> 00:22:11,320 Speaker 1: life so happy. It's just going around, it's underneath furniture, 457 00:22:11,359 --> 00:22:13,520 Speaker 1: it's just sucking up all the stuff. And I know 458 00:22:13,560 --> 00:22:15,600 Speaker 1: it's like super boring, but like yo, man shout outs 459 00:22:15,600 --> 00:22:19,360 Speaker 1: to roomba. They you you this is your first room 460 00:22:19,560 --> 00:22:23,880 Speaker 1: because I've had I had to like set up these 461 00:22:23,960 --> 00:22:27,200 Speaker 1: like training cones for it to know where it could 462 00:22:27,200 --> 00:22:30,480 Speaker 1: and couldn't go. It was it was like complicated and 463 00:22:30,520 --> 00:22:33,800 Speaker 1: then it can't do that. Yeah, I'm wondering if they 464 00:22:33,840 --> 00:22:36,880 Speaker 1: finally figured now. I mean, they gave me basically this 465 00:22:36,960 --> 00:22:39,880 Speaker 1: like little beacon thing that like you can stick near 466 00:22:39,960 --> 00:22:42,359 Speaker 1: something to create like a barrier or a wall, or 467 00:22:42,400 --> 00:22:43,560 Speaker 1: you can like stick it in front of like a 468 00:22:43,560 --> 00:22:45,720 Speaker 1: pet food bowl and it basically will create like a 469 00:22:46,240 --> 00:22:49,119 Speaker 1: semicircle arc that it won't go into and otherwise, Like 470 00:22:49,160 --> 00:22:50,679 Speaker 1: the first time I ran it, it ran for like 471 00:22:50,760 --> 00:22:53,639 Speaker 1: five hours and it basically mapped out my house and 472 00:22:53,720 --> 00:22:57,040 Speaker 1: it creates a your house, and then you can go 473 00:22:57,080 --> 00:22:59,960 Speaker 1: in and you can basically set the borders for each room. 474 00:23:00,080 --> 00:23:02,000 Speaker 1: You name the rooms, and then you can say, hey, 475 00:23:02,000 --> 00:23:03,880 Speaker 1: go clean the kitchen, and it just goes to clean 476 00:23:03,880 --> 00:23:06,199 Speaker 1: the kitchen. Or you can be like clean everywhere but 477 00:23:06,320 --> 00:23:08,159 Speaker 1: the laundry room, and it'll go and clean everywhere but 478 00:23:08,200 --> 00:23:11,240 Speaker 1: the laundy room. So you can like basically specify now. 479 00:23:11,640 --> 00:23:13,280 Speaker 1: But it's been like two weeks and I've been like 480 00:23:13,320 --> 00:23:15,120 Speaker 1: trying all the different ship to see if I can 481 00:23:15,200 --> 00:23:18,000 Speaker 1: like confuse it like, and it honestly has been going 482 00:23:18,080 --> 00:23:20,080 Speaker 1: up over all my rugs. It's been going up over 483 00:23:20,119 --> 00:23:22,520 Speaker 1: like the folded blanket that I used as my dog's place. 484 00:23:22,640 --> 00:23:26,000 Speaker 1: Like it's only taken out one chord when I didn't 485 00:23:26,000 --> 00:23:27,879 Speaker 1: like put the cord up. But like you do have 486 00:23:27,920 --> 00:23:29,800 Speaker 1: to make sure like there's not a dog toy, like 487 00:23:30,440 --> 00:23:34,600 Speaker 1: you know, there's a weird thing. Yeah, but other than that, 488 00:23:34,640 --> 00:23:37,480 Speaker 1: like it, I mean, it's been doing pretty good, Like 489 00:23:37,520 --> 00:23:40,119 Speaker 1: it hasn't gotten stuck anywhere yet. When it runs out 490 00:23:40,160 --> 00:23:42,400 Speaker 1: of like juice, that's the only thing, Like if it's 491 00:23:42,440 --> 00:23:45,040 Speaker 1: doing my whole house, because my house is pretty big, 492 00:23:45,359 --> 00:23:46,920 Speaker 1: like it'll run it out of juice and then it'll 493 00:23:46,920 --> 00:23:49,080 Speaker 1: plug itself back in and charge and then like forty 494 00:23:49,080 --> 00:23:50,840 Speaker 1: minutes later, you're like, why are you starting again? And 495 00:23:50,840 --> 00:23:52,680 Speaker 1: it's like, oh, it forgot twelve square feet by the 496 00:23:52,760 --> 00:23:57,840 Speaker 1: kitchen and it's and it goes right back to where 497 00:23:57,840 --> 00:24:00,280 Speaker 1: it left off. It doesn't just start over again. See notes. 498 00:24:01,119 --> 00:24:03,920 Speaker 1: I should note I had the Room Bow, which was 499 00:24:05,119 --> 00:24:12,320 Speaker 1: n version that nine nine cent store, but yeah, my well, 500 00:24:12,520 --> 00:24:14,880 Speaker 1: my experience was not great, but I was probably that's 501 00:24:14,880 --> 00:24:17,440 Speaker 1: why that's I heard all the terrible stories forever. And 502 00:24:17,440 --> 00:24:18,960 Speaker 1: then I finally like broke down and I mean, you 503 00:24:18,960 --> 00:24:21,000 Speaker 1: guys love it because I know you guys are Costco bros. Too, 504 00:24:21,040 --> 00:24:23,199 Speaker 1: But like it was on sale at Costco and I 505 00:24:23,240 --> 00:24:25,600 Speaker 1: was just like Costco online and they shipped it to me. 506 00:24:25,720 --> 00:24:27,520 Speaker 1: It was like a hundred dollars off. I was like, hell, yeah, 507 00:24:27,560 --> 00:24:30,359 Speaker 1: send me that room but I'll try anything. Uh. And 508 00:24:30,400 --> 00:24:32,399 Speaker 1: now I'm like, they have a mop room ba. And 509 00:24:32,440 --> 00:24:34,960 Speaker 1: so now I'm like on the prescipits, live with this room, 510 00:24:34,960 --> 00:24:36,760 Speaker 1: but for a month and if it still is good, 511 00:24:36,840 --> 00:24:38,439 Speaker 1: then I'm gonna get the mop one because you can 512 00:24:38,440 --> 00:24:41,320 Speaker 1: basically sink them, so it sends out vacuum mumba and 513 00:24:41,320 --> 00:24:43,160 Speaker 1: then when vacuum room is done, it sends out the mop. 514 00:24:43,720 --> 00:24:46,240 Speaker 1: So if I can get that, yo, my life is 515 00:24:46,240 --> 00:24:49,520 Speaker 1: about to change. I'm about beat. Yeah, I'm about to 516 00:24:49,560 --> 00:24:51,600 Speaker 1: like win back so much wine drinking time and weed 517 00:24:51,640 --> 00:24:53,800 Speaker 1: smoking time. At night. I'm just gonna be able to 518 00:24:53,880 --> 00:24:55,560 Speaker 1: like chill and put my feet up on my recliner 519 00:24:55,600 --> 00:24:57,159 Speaker 1: and be like, yeah, I'm about get that bitch me 520 00:24:57,200 --> 00:25:04,600 Speaker 1: and two you were watching so yeah, shout outs to them. 521 00:25:04,880 --> 00:25:06,680 Speaker 1: It was always so sad when I would like find 522 00:25:06,720 --> 00:25:09,280 Speaker 1: it stuck under a piece of furniture and I would 523 00:25:09,280 --> 00:25:14,360 Speaker 1: be devastated. Yeah it fell running out of a gerbil 524 00:25:14,520 --> 00:25:17,320 Speaker 1: or something like you know. And then I have an 525 00:25:17,320 --> 00:25:21,080 Speaker 1: honorary under underrated. Also like just like a second one 526 00:25:21,800 --> 00:25:24,359 Speaker 1: is a long beach airport. Have you guys ever flown 527 00:25:24,359 --> 00:25:26,639 Speaker 1: out a long beach airport? I have one Jet Blue 528 00:25:27,240 --> 00:25:30,480 Speaker 1: When I went to New York a few years ago. Yeah, 529 00:25:30,760 --> 00:25:33,920 Speaker 1: they have like the outdoor lobby there when you were there. 530 00:25:35,680 --> 00:25:37,760 Speaker 1: So they have redone the Long Beach Airport. I've never 531 00:25:37,800 --> 00:25:39,359 Speaker 1: been there before, but I guess I just got Redond. 532 00:25:39,960 --> 00:25:42,440 Speaker 1: It's really quiet because you know who the fun flies 533 00:25:42,440 --> 00:25:44,879 Speaker 1: out of Long Beach, right, Jeff Blue is in there anymore, 534 00:25:44,920 --> 00:25:47,000 Speaker 1: but Southwest is there. But they have a whole after T. 535 00:25:47,200 --> 00:25:48,880 Speaker 1: S A. You go through T. S A and then 536 00:25:48,920 --> 00:25:50,760 Speaker 1: you know how usually come into like the Chaos Hall 537 00:25:50,800 --> 00:25:53,239 Speaker 1: where like everyone's looking for, like where do I go? 538 00:25:53,640 --> 00:25:57,440 Speaker 1: There's no Chaos Hall. It's just an open courtyard, wow, 539 00:25:57,640 --> 00:26:03,080 Speaker 1: fresh air benches, tables, trees, and then to the left 540 00:26:03,119 --> 00:26:04,520 Speaker 1: is one side of the terminal and to the right 541 00:26:04,600 --> 00:26:06,399 Speaker 1: is the other side of the terminal. But like, you 542 00:26:06,440 --> 00:26:09,879 Speaker 1: can literally spend your whole two hours just outside. You 543 00:26:09,920 --> 00:26:12,000 Speaker 1: don't have to be in the airport. You can be 544 00:26:12,040 --> 00:26:15,040 Speaker 1: outside in the fucking sun, having a beer, having a wine, 545 00:26:15,040 --> 00:26:17,800 Speaker 1: having a water, whatever, and then you walk into the 546 00:26:17,880 --> 00:26:19,600 Speaker 1: terminal and get on your plane. It was the most 547 00:26:19,680 --> 00:26:22,680 Speaker 1: relaxing departure. I was like, yo, I'm Long Beaches out 548 00:26:22,680 --> 00:26:24,440 Speaker 1: of the way, but it might be worth it just 549 00:26:24,520 --> 00:26:28,760 Speaker 1: to like not have to deal with l A X Right, Okay, 550 00:26:29,280 --> 00:26:31,000 Speaker 1: Like so if you if you have a flight path 551 00:26:31,040 --> 00:26:33,600 Speaker 1: that is like workable through Long Beach, I would say, 552 00:26:33,920 --> 00:26:38,640 Speaker 1: try it. It is awesome. It was like, yo, yeah 553 00:26:38,720 --> 00:26:42,159 Speaker 1: I missed. They canceled the southwest from nashvillist to Burbank 554 00:26:42,200 --> 00:26:44,120 Speaker 1: and I'm devastated. They used to have a direct flight 555 00:26:44,119 --> 00:26:46,760 Speaker 1: and they don't have it anymore. And it's hard, but yeah, 556 00:26:46,760 --> 00:26:49,520 Speaker 1: shout out to Long Beach. L A innovated in the 557 00:26:49,600 --> 00:26:54,359 Speaker 1: outdoor malls, the outdoor high schools. According to nine O 558 00:26:54,480 --> 00:26:56,679 Speaker 1: two one. Now, I wasn't really and I didn't go 559 00:26:56,720 --> 00:26:59,440 Speaker 1: to high school out here, but yeah, I hadn't even 560 00:26:59,520 --> 00:27:03,800 Speaker 1: thought about the outdoor airport. That's it's next level. Man. 561 00:27:03,960 --> 00:27:06,359 Speaker 1: It was. It was really like I was. I was 562 00:27:06,400 --> 00:27:09,560 Speaker 1: actually pleased. I was just like, oh wow, yeah, I will, 563 00:27:09,600 --> 00:27:14,800 Speaker 1: I will sit in traffic to leave this airport. All right, 564 00:27:14,880 --> 00:27:17,280 Speaker 1: let's take a quick break and we'll be right back. 565 00:27:28,040 --> 00:27:33,560 Speaker 1: And we're back. And so you know, the big tech 566 00:27:34,000 --> 00:27:39,280 Speaker 1: has taken the idea of technological solutions and made us 567 00:27:39,280 --> 00:27:42,720 Speaker 1: all very suspicious. But there are still some good things 568 00:27:42,800 --> 00:27:47,040 Speaker 1: being done with technology by the people. Yeah, Like the 569 00:27:47,119 --> 00:27:50,560 Speaker 1: last couple of months, we've seen story after story about 570 00:27:50,600 --> 00:27:55,239 Speaker 1: corporate union busting and retaliate retaliatory firings for people who 571 00:27:55,320 --> 00:27:58,119 Speaker 1: are trying to organize their co workers. But you know, 572 00:27:58,200 --> 00:28:00,399 Speaker 1: like in this moment where there's a huge swell of 573 00:28:00,440 --> 00:28:04,200 Speaker 1: support for organized labor, many people are finding new ways 574 00:28:04,240 --> 00:28:06,439 Speaker 1: to push back and actually make things difficult for some 575 00:28:06,520 --> 00:28:09,919 Speaker 1: of these companies. So, you know, they're one of the 576 00:28:09,920 --> 00:28:13,199 Speaker 1: the tactics that have been used from people like you know, 577 00:28:13,240 --> 00:28:18,600 Speaker 1: pushing back against places like Kroger or Starbucks or Kellogg's 578 00:28:18,640 --> 00:28:21,080 Speaker 1: who have been recently in the news for their unsavory 579 00:28:21,080 --> 00:28:23,440 Speaker 1: business practices. They're saying, you know what we can do, 580 00:28:23,640 --> 00:28:26,200 Speaker 1: we can spam the funk out of the job listings 581 00:28:26,200 --> 00:28:28,720 Speaker 1: when these companies post for you know, essentially what they're 582 00:28:28,720 --> 00:28:31,359 Speaker 1: looking for is a like a professional union buster like 583 00:28:31,440 --> 00:28:34,280 Speaker 1: for their company. So this is from Vice talking about 584 00:28:34,600 --> 00:28:37,280 Speaker 1: in February gen Z for Change coder so Fia and 585 00:28:37,320 --> 00:28:40,120 Speaker 1: Gelli says, quote, let's talk about Starbucks in case you 586 00:28:40,120 --> 00:28:42,440 Speaker 1: missed it, they fired seven of their Memphis Memphis workers 587 00:28:42,480 --> 00:28:44,200 Speaker 1: who are trying to unionize. They even took it upon 588 00:28:44,240 --> 00:28:46,800 Speaker 1: themselves to launch an entire anti union website. But unions 589 00:28:46,800 --> 00:28:49,840 Speaker 1: are good. They protect workers. A super cool website that 590 00:28:50,040 --> 00:28:52,080 Speaker 1: my friends and I made that make it easy for 591 00:28:52,080 --> 00:28:55,560 Speaker 1: you to flood the application pool, essentially saying like it'll 592 00:28:55,600 --> 00:28:58,920 Speaker 1: this site will auto generate a ton of applicants using 593 00:28:59,040 --> 00:29:01,480 Speaker 1: you know, like script with python quote. It would be 594 00:29:01,480 --> 00:29:03,280 Speaker 1: a real shame if people use the website and let 595 00:29:03,360 --> 00:29:06,160 Speaker 1: Starbucks know unionizing is good and they shouldn't be firing 596 00:29:06,200 --> 00:29:08,360 Speaker 1: workers who try to unionize, you know, just putting it 597 00:29:08,400 --> 00:29:11,920 Speaker 1: out there essentially saying, go to this website, you can 598 00:29:11,960 --> 00:29:13,760 Speaker 1: spam the funk out of the thing, and it will 599 00:29:13,840 --> 00:29:17,160 Speaker 1: basically put their ability to hire someone like total gridlock 600 00:29:17,560 --> 00:29:21,120 Speaker 1: by like just overwhelming their inboxes with these applicants. And 601 00:29:21,160 --> 00:29:23,960 Speaker 1: something similar was even happening more not necessarily that it 602 00:29:24,040 --> 00:29:26,240 Speaker 1: was on TikTok and sort of getting younger people to 603 00:29:26,240 --> 00:29:28,800 Speaker 1: get involved. But the s C I you, they did 604 00:29:28,800 --> 00:29:32,320 Speaker 1: something where they're using technology to try and a B 605 00:29:32,520 --> 00:29:37,200 Speaker 1: test some things. For example, they suspected that Chippotle had 606 00:29:37,360 --> 00:29:40,840 Speaker 1: you know, some maybe some you know, some racial disparities 607 00:29:40,840 --> 00:29:43,880 Speaker 1: and who they hire for open managerial positions. So what 608 00:29:43,920 --> 00:29:47,240 Speaker 1: they did was they submitted pairings of names a white 609 00:29:47,280 --> 00:29:51,200 Speaker 1: applicant and a black applicant with racially distinctive names. And 610 00:29:51,240 --> 00:29:53,680 Speaker 1: they guess what they found out when they submitted six 611 00:29:54,120 --> 00:29:58,640 Speaker 1: twenty four applications, the black applicants TEP typically did not 612 00:29:58,840 --> 00:30:01,200 Speaker 1: hear back even cloth to the rate that these white 613 00:30:01,200 --> 00:30:04,720 Speaker 1: applicants we're hearing back. And so even they're they're using 614 00:30:04,760 --> 00:30:07,760 Speaker 1: that to sort of support greater arguments, say this is 615 00:30:08,240 --> 00:30:10,520 Speaker 1: this um what based on what we found through this 616 00:30:10,600 --> 00:30:13,640 Speaker 1: correspondence testing that we were doing, is that they there 617 00:30:13,680 --> 00:30:17,240 Speaker 1: are some biased hiring practices. So it's it's an interesting 618 00:30:17,280 --> 00:30:19,480 Speaker 1: moment because a lot of labor people have been studying 619 00:30:19,560 --> 00:30:21,280 Speaker 1: like labor movements or less and this is kind of 620 00:30:21,320 --> 00:30:24,200 Speaker 1: new because technology hasn't been used this way for worker 621 00:30:24,320 --> 00:30:28,239 Speaker 1: organizing or pushing back against companies, and it's kind of 622 00:30:28,240 --> 00:30:32,160 Speaker 1: a it is a very different moment than than usual. Yeah, 623 00:30:32,440 --> 00:30:34,960 Speaker 1: that one's really brilliant because that's the sort of thing 624 00:30:34,960 --> 00:30:38,560 Speaker 1: that I could see a corporation responding to is like 625 00:30:38,640 --> 00:30:43,120 Speaker 1: just a very targeted like look this we ran this test. 626 00:30:43,480 --> 00:30:47,240 Speaker 1: You guys failed. It's now in the media like you 627 00:30:47,360 --> 00:30:50,840 Speaker 1: have to do something the like gridlock one. I'm a 628 00:30:50,880 --> 00:30:54,560 Speaker 1: little bit like because I just feel like the Starbucks 629 00:30:54,600 --> 00:30:57,400 Speaker 1: finds a way around that or just tires like their 630 00:30:57,480 --> 00:31:01,000 Speaker 1: kids or you know, their failed suns, or you know 631 00:31:01,120 --> 00:31:02,840 Speaker 1: that they can always find a way to hire. But 632 00:31:02,960 --> 00:31:05,280 Speaker 1: like the the one where they like do a targeted 633 00:31:05,960 --> 00:31:12,080 Speaker 1: experiment publicly that proves that you're fucking racists, like corporations, 634 00:31:12,600 --> 00:31:15,360 Speaker 1: like they have to respond to that, like they're having 635 00:31:15,400 --> 00:31:18,000 Speaker 1: a meeting about that ship right now, right. But I 636 00:31:18,080 --> 00:31:20,400 Speaker 1: do think the twofold kind of attack though, is sort 637 00:31:20,400 --> 00:31:23,600 Speaker 1: of brilliant because it does take a light of time 638 00:31:23,640 --> 00:31:27,080 Speaker 1: and effort to go through applicants and to select ones. 639 00:31:27,560 --> 00:31:30,720 Speaker 1: So like either way, like they're hitting them in the pocketbook, right. 640 00:31:31,360 --> 00:31:34,120 Speaker 1: The internet is supposed to ease access to applicants, like oh, 641 00:31:34,160 --> 00:31:37,280 Speaker 1: and it's also the internet uses you know, well we 642 00:31:37,320 --> 00:31:39,720 Speaker 1: didn't see them. It's anonymity, like it's just names. So 643 00:31:39,880 --> 00:31:41,760 Speaker 1: like being able to spam them with all these and 644 00:31:41,800 --> 00:31:43,360 Speaker 1: then be able to back it up and say, oh, here, 645 00:31:43,400 --> 00:31:46,120 Speaker 1: we're also doing this experiment that like you are racist 646 00:31:46,200 --> 00:31:48,040 Speaker 1: to your point is brilliant to me because it's both 647 00:31:48,080 --> 00:31:50,840 Speaker 1: you're gonna get them politically and like kind of outward 648 00:31:50,880 --> 00:31:53,560 Speaker 1: facing and getting them in the pocketbook is very smart, 649 00:31:53,720 --> 00:31:57,480 Speaker 1: super super cool use of body technology or whatever it's called, 650 00:31:57,680 --> 00:32:00,360 Speaker 1: and along the way to you know, like with just 651 00:32:00,520 --> 00:32:04,560 Speaker 1: on social media, it's contributing to just massive support for 652 00:32:05,000 --> 00:32:07,760 Speaker 1: organized labor in general. You know, like you have younger 653 00:32:07,880 --> 00:32:10,640 Speaker 1: people in record numbers who are now like, yeah, this, 654 00:32:11,040 --> 00:32:13,880 Speaker 1: this is what we need to have something some seemingly 655 00:32:13,960 --> 00:32:17,720 Speaker 1: equitable future, they said. The National Labor Relations Board said 656 00:32:17,760 --> 00:32:21,640 Speaker 1: there was a sixty increase in like workers finding union 657 00:32:21,720 --> 00:32:24,320 Speaker 1: elections in the last six months, so like we're seeing 658 00:32:24,480 --> 00:32:28,760 Speaker 1: we're actually seeing measurable increased activity around labor organizing. And 659 00:32:28,840 --> 00:32:32,160 Speaker 1: they even said, this is the Gallup poll show that 660 00:32:32,240 --> 00:32:35,920 Speaker 1: this is the highest support since nineteen sixty for unions. 661 00:32:36,200 --> 00:32:40,040 Speaker 1: It was it's really interesting and right now, but people 662 00:32:40,120 --> 00:32:42,240 Speaker 1: between the eight days of eighteen and thirty four support 663 00:32:42,320 --> 00:32:45,600 Speaker 1: unions at a rate of seventy That's really interesting. That's 664 00:32:45,600 --> 00:32:48,200 Speaker 1: actually something that like I've never thought of before, right, Like, 665 00:32:49,360 --> 00:32:52,400 Speaker 1: are these younger generations aware of the labor movements that 666 00:32:52,480 --> 00:32:55,239 Speaker 1: have happened in the past, like outside of just like oh, 667 00:32:55,360 --> 00:32:56,600 Speaker 1: that was the civil rights that you know, And he 668 00:32:56,680 --> 00:32:57,800 Speaker 1: was like, no, no, no, Like, are you aware of 669 00:32:57,880 --> 00:33:00,800 Speaker 1: the literal labor movements? Like are you aware of like 670 00:33:01,400 --> 00:33:04,040 Speaker 1: why unions exist? I just feel like maybe some of 671 00:33:04,120 --> 00:33:06,480 Speaker 1: these younger folks haven't had exposure to this because they've 672 00:33:06,520 --> 00:33:08,800 Speaker 1: just been like, oh, I have this job, like it's 673 00:33:08,840 --> 00:33:10,600 Speaker 1: just not a thing, you know what I mean. And 674 00:33:10,640 --> 00:33:12,640 Speaker 1: a lot of people are going into more skilled jobs 675 00:33:12,680 --> 00:33:15,080 Speaker 1: as opposed to just like general labor jobs which traditionally 676 00:33:15,080 --> 00:33:18,400 Speaker 1: are supported by unions, you know, outside of Like there's 677 00:33:18,400 --> 00:33:20,360 Speaker 1: a whole labor movement going on in the cannabis movement 678 00:33:20,480 --> 00:33:23,360 Speaker 1: right now. You know, people trying to unionize, you know, 679 00:33:23,400 --> 00:33:24,760 Speaker 1: all the folks, and those are all staffed by a 680 00:33:24,840 --> 00:33:26,840 Speaker 1: lot of young people. It's really interesting to see this 681 00:33:26,920 --> 00:33:28,640 Speaker 1: that like maybe some people just this is their first 682 00:33:28,720 --> 00:33:33,440 Speaker 1: exposure to unionization and that. And I think, like on TikTok, 683 00:33:33,520 --> 00:33:36,440 Speaker 1: like I'm even learning about the union history from TikTok 684 00:33:36,600 --> 00:33:39,520 Speaker 1: users too. So there there's like a that dance must 685 00:33:39,600 --> 00:33:43,960 Speaker 1: go hard wid My knees are a little too weak 686 00:33:44,080 --> 00:33:48,760 Speaker 1: to get that low sometimes. How many death drops I 687 00:33:48,840 --> 00:33:50,200 Speaker 1: busted the back of my head trying to hit a 688 00:33:50,240 --> 00:33:53,360 Speaker 1: death drop. I didn't realize how you're supposed to land. 689 00:33:53,400 --> 00:33:58,960 Speaker 1: I just threw my body to the ground. Kay. But yeah, 690 00:33:59,040 --> 00:34:01,320 Speaker 1: this is I think it It's just like it's it's 691 00:34:01,400 --> 00:34:04,480 Speaker 1: hardening to hear people who have been observing, like labor 692 00:34:04,560 --> 00:34:10,120 Speaker 1: movements say, like typically workers have been way behind trying 693 00:34:10,160 --> 00:34:13,680 Speaker 1: to combat union busting because typically companies are so well 694 00:34:13,880 --> 00:34:17,240 Speaker 1: funded that it's just a different landscape. But now because 695 00:34:17,320 --> 00:34:19,920 Speaker 1: of technology, social media, like it's allowing for a lot 696 00:34:20,000 --> 00:34:23,160 Speaker 1: of you know, people to experiment with ways to try 697 00:34:23,239 --> 00:34:25,800 Speaker 1: and expose things or pushed back. And a lot of 698 00:34:25,840 --> 00:34:29,000 Speaker 1: this did start. If your member was back in Texas 699 00:34:29,520 --> 00:34:32,520 Speaker 1: when they were talking about like doing the anti abortion 700 00:34:32,640 --> 00:34:34,320 Speaker 1: bills and there was a user who was like, you 701 00:34:34,360 --> 00:34:37,399 Speaker 1: can you know, spam that website to try and get 702 00:34:37,480 --> 00:34:38,880 Speaker 1: people to you know that where it's like you can 703 00:34:38,920 --> 00:34:41,120 Speaker 1: report somebody and they're like, well, how about we flood 704 00:34:41,160 --> 00:34:43,600 Speaker 1: your website with nonsense And then that you know, they 705 00:34:43,680 --> 00:34:46,200 Speaker 1: ended up having to shut the website down. So there's 706 00:34:46,239 --> 00:34:48,120 Speaker 1: a lot of a lot of things going on, but 707 00:34:48,480 --> 00:34:50,320 Speaker 1: it's you know, this is this is the way the 708 00:34:50,640 --> 00:34:53,840 Speaker 1: youth them are getting involved. Well I'm happy to hear it. 709 00:34:53,920 --> 00:34:55,919 Speaker 1: And it's cool to see technology being used for something 710 00:34:56,000 --> 00:34:58,800 Speaker 1: that actually you know, not that it's not used for 711 00:34:58,880 --> 00:35:00,960 Speaker 1: things that are beneficial, but you know what I'm saying, Yeah, 712 00:35:01,480 --> 00:35:03,239 Speaker 1: that's cool to see the kids are the kids are 713 00:35:03,280 --> 00:35:06,080 Speaker 1: all right, man and tech savvy to them, like, man, 714 00:35:06,120 --> 00:35:08,480 Speaker 1: you want me to do what with python? A script? 715 00:35:09,640 --> 00:35:13,080 Speaker 1: I don't like snakes dog? Yeah exactly, Like, hey, I'll 716 00:35:13,120 --> 00:35:14,560 Speaker 1: pick it. I don't know how to do that other 717 00:35:14,600 --> 00:35:17,000 Speaker 1: ship though, And so I think we're also seeing is 718 00:35:17,080 --> 00:35:19,239 Speaker 1: like young more people are at a younger age or 719 00:35:19,320 --> 00:35:22,040 Speaker 1: just getting such diversified skill sets because of like the 720 00:35:22,120 --> 00:35:24,240 Speaker 1: amount of information that stuff. You can like train yourself 721 00:35:24,320 --> 00:35:25,840 Speaker 1: and so many things if you have the will to 722 00:35:25,960 --> 00:35:28,480 Speaker 1: do it. So it's interesting to see it all express 723 00:35:28,520 --> 00:35:31,080 Speaker 1: itself in this way. Yeah, that's it's also a nice 724 00:35:31,120 --> 00:35:34,720 Speaker 1: counterpoint to all the gen Z is actually fucking conservative, dude, 725 00:35:34,920 --> 00:35:39,000 Speaker 1: the headlines that Business Insider is coming through with. And 726 00:35:39,640 --> 00:35:44,080 Speaker 1: there there's that person that MSNBC lead on who is like, 727 00:35:44,480 --> 00:35:48,960 Speaker 1: I'm a pro life gen Zer and actually the majority 728 00:35:49,200 --> 00:35:51,640 Speaker 1: of gen Z eight out of ten or something that 729 00:35:51,760 --> 00:35:56,279 Speaker 1: person said, yeah, which later not true, putting that person 730 00:35:56,360 --> 00:36:00,279 Speaker 1: on TV. Yeah yeah, all right, let's talk speaking of 731 00:36:00,760 --> 00:36:04,239 Speaker 1: the ban on abortion that may be coming our way. 732 00:36:04,760 --> 00:36:06,600 Speaker 1: So Susan Collins, who has been like kind of a 733 00:36:06,680 --> 00:36:11,120 Speaker 1: key figure in this whole fight because she was like 734 00:36:11,320 --> 00:36:15,440 Speaker 1: always the hope that maybe she wouldn't be she wouldn't 735 00:36:15,600 --> 00:36:20,000 Speaker 1: vote for Gorstch or Kavanaugh or Coney Barrett because she's 736 00:36:20,040 --> 00:36:23,200 Speaker 1: supposed to be a moderate Republican had so people have 737 00:36:23,320 --> 00:36:26,480 Speaker 1: been asking her, what you said, that you were only 738 00:36:26,600 --> 00:36:30,960 Speaker 1: voting for them because you thought they would not overturned Row, 739 00:36:31,520 --> 00:36:35,719 Speaker 1: and her responses not that she regrets supporting them, but 740 00:36:35,800 --> 00:36:40,520 Speaker 1: that they lied. They lied. Do you believe it? She 741 00:36:42,080 --> 00:36:45,880 Speaker 1: quote if these leaked draft opinion, if this leaked draft 742 00:36:45,920 --> 00:36:49,240 Speaker 1: opinion is the final decision decision, and this reporting is accurate, 743 00:36:49,680 --> 00:36:53,239 Speaker 1: it would be completely inconsistent with what Justice Gorstch and 744 00:36:53,400 --> 00:36:56,360 Speaker 1: Justice Kavanaugh said in their hearings and in our meetings 745 00:36:56,440 --> 00:36:59,799 Speaker 1: in my office. She claims she's always been saying, they 746 00:37:00,080 --> 00:37:02,880 Speaker 1: told me that role was settled law, that it was precedent, 747 00:37:03,280 --> 00:37:06,600 Speaker 1: that that was that's that's done and dusted. Meanwhile, Chuck 748 00:37:06,640 --> 00:37:09,040 Speaker 1: Schumer was saying things at the same time. He said, 749 00:37:09,360 --> 00:37:12,359 Speaker 1: when I spoke to Brett Kavanaugh, he wouldn't answer yes 750 00:37:12,480 --> 00:37:15,000 Speaker 1: to the question of whether Row was settled law when 751 00:37:15,080 --> 00:37:18,080 Speaker 1: I asked him, m hmm. So he made it clear 752 00:37:18,120 --> 00:37:19,840 Speaker 1: to me where he was at, and he lied to 753 00:37:19,960 --> 00:37:24,040 Speaker 1: your little naive as saying, oh yeah, yeah, yeah, that's 754 00:37:24,080 --> 00:37:25,879 Speaker 1: that's settled. That's settled, man, So I got your vote. 755 00:37:25,920 --> 00:37:28,600 Speaker 1: Good good. Watch this ship. Now it's a very you know, 756 00:37:29,200 --> 00:37:31,520 Speaker 1: it's it's it's dishearten. I don't know, it's disheartening because 757 00:37:31,560 --> 00:37:33,800 Speaker 1: every time like it would come down to Murkowski and 758 00:37:33,880 --> 00:37:36,840 Speaker 1: Collins and like, can they will they figure out that 759 00:37:36,960 --> 00:37:39,239 Speaker 1: these are bad people to put on the bench. Uh, 760 00:37:39,320 --> 00:37:43,160 Speaker 1: And they never did. So now she's dealing with a 761 00:37:43,239 --> 00:37:46,600 Speaker 1: little bit of a fallout. People are upset obviously at 762 00:37:46,680 --> 00:37:50,400 Speaker 1: what you know, this leaked opinion is indicating, and in 763 00:37:50,480 --> 00:37:56,480 Speaker 1: a horrific display of partisan terrorism, Susan Collins woke up 764 00:37:56,880 --> 00:38:01,319 Speaker 1: to her side something written on her sidewalk in front 765 00:38:01,400 --> 00:38:06,919 Speaker 1: of her home in colored chalk, and threatened, don't don't 766 00:38:07,120 --> 00:38:08,600 Speaker 1: if I say this out loud. I don't want to 767 00:38:08,600 --> 00:38:10,560 Speaker 1: secret service coming from me. But I'm gonna say it 768 00:38:10,640 --> 00:38:14,439 Speaker 1: because I'm a fucking rebel. Just you know, turn this down. 769 00:38:14,680 --> 00:38:16,520 Speaker 1: Turn this down. If you have people around you that 770 00:38:16,560 --> 00:38:19,000 Speaker 1: you can here, okay, you're you're about to be your 771 00:38:19,080 --> 00:38:20,680 Speaker 1: your heart rate is going to speed up a little 772 00:38:20,680 --> 00:38:22,520 Speaker 1: bit and justin you might have to bleep this out 773 00:38:22,719 --> 00:38:24,359 Speaker 1: just to protect me. But I'm gonna say it because 774 00:38:24,400 --> 00:38:29,160 Speaker 1: we're brave. Here it said, quote, Susie, please maynards want 775 00:38:29,360 --> 00:38:32,279 Speaker 1: w h p A, which is the Women's Healthcare Protection Act? 776 00:38:32,719 --> 00:38:36,920 Speaker 1: Vote yes, clean up your mess? Oh my god. And 777 00:38:37,040 --> 00:38:41,279 Speaker 1: it was written in menacing chalk. Yes. And I do 778 00:38:41,400 --> 00:38:44,600 Speaker 1: want to point out that the dot above the eye 779 00:38:44,800 --> 00:38:49,719 Speaker 1: is a tiny uterus. So this is very threatening. You know, 780 00:38:49,840 --> 00:38:52,920 Speaker 1: there's there's not only block letters, you know what I mean, 781 00:38:53,040 --> 00:38:58,160 Speaker 1: and multiple colors of chalk, there's an additional iconographic This 782 00:38:58,320 --> 00:39:01,719 Speaker 1: is threatening. This is very threatening using such an informal 783 00:39:01,800 --> 00:39:06,239 Speaker 1: way to address a senator Sthie, for real, are you 784 00:39:06,440 --> 00:39:08,680 Speaker 1: trying to set my house on fire with that talk? 785 00:39:09,560 --> 00:39:11,880 Speaker 1: What is going on? So, you know, she did what 786 00:39:12,000 --> 00:39:15,759 Speaker 1: any responsible white woman would do in this situation, called 787 00:39:15,800 --> 00:39:19,400 Speaker 1: the police. So she called the police and said, there's 788 00:39:19,480 --> 00:39:25,000 Speaker 1: something awful outside my house. Can collect DNA samples? How 789 00:39:25,040 --> 00:39:26,440 Speaker 1: do we how do we get to the bottom of this? 790 00:39:26,520 --> 00:39:28,719 Speaker 1: Who they tried? The cops showed up and they said 791 00:39:28,760 --> 00:39:33,319 Speaker 1: all right, and they left. A city sanitation worker came 792 00:39:33,360 --> 00:39:35,960 Speaker 1: and just power washed it off. And then the comment 793 00:39:36,040 --> 00:39:39,600 Speaker 1: from the police was, this wasn't an overtly threatening message. 794 00:39:40,680 --> 00:39:44,120 Speaker 1: So I just like the mental space of this person 795 00:39:44,280 --> 00:39:47,239 Speaker 1: right to know that when you when you're out here 796 00:39:47,280 --> 00:39:49,239 Speaker 1: being like, I'm convinced this person is gonna take away 797 00:39:49,239 --> 00:39:51,239 Speaker 1: your rights, even if you'd maybe believe it or really 798 00:39:51,280 --> 00:39:54,880 Speaker 1: don't believe it, and then seeing the the fallout from 799 00:39:54,960 --> 00:39:56,680 Speaker 1: your behavior and then being like, this is awful. This 800 00:39:56,800 --> 00:39:59,520 Speaker 1: is terrible. What's going on? Like the disconnect there with 801 00:39:59,640 --> 00:40:02,680 Speaker 1: what you're vote meets is really wild. Let's also talk 802 00:40:02,680 --> 00:40:05,080 Speaker 1: about the white woman in her neighborhood fucking chalk bitch, 803 00:40:05,200 --> 00:40:07,600 Speaker 1: make a sign, cover her fucking yard and signs, tick 804 00:40:07,680 --> 00:40:10,160 Speaker 1: a ship on her porch, put a fucking paper flag 805 00:40:10,280 --> 00:40:12,359 Speaker 1: and it's that's shaped like a uterus, and be like, bitch, 806 00:40:12,480 --> 00:40:15,120 Speaker 1: what I'm gonna have all my unwanted children on your 807 00:40:15,160 --> 00:40:19,719 Speaker 1: motherfucking front lawn. Vote yes, Like I just I think 808 00:40:19,840 --> 00:40:21,520 Speaker 1: we need to be a lot louder about this. I'm 809 00:40:21,520 --> 00:40:25,399 Speaker 1: just like this little cute, little fucking sidewalk drawing, get 810 00:40:25,480 --> 00:40:33,720 Speaker 1: out of here, bitch, Susie please please, Oh my god, Susie, 811 00:40:33,880 --> 00:40:41,279 Speaker 1: comma please. That's yeah, very very threatening stuff. And the 812 00:40:41,400 --> 00:40:43,959 Speaker 1: tone police are out in full force. You know, still, 813 00:40:44,080 --> 00:40:46,360 Speaker 1: whether it's this or other people like Democrats been like, 814 00:40:46,360 --> 00:40:49,520 Speaker 1: I don't know if Brett Kavanaugh deserves to have all 815 00:40:49,600 --> 00:40:52,040 Speaker 1: this ruckus by his house, you know what I mean? 816 00:40:52,120 --> 00:40:56,560 Speaker 1: Like they're already advancing bills to protect Supreme Court justices. Yeah, 817 00:40:57,840 --> 00:41:04,239 Speaker 1: like wow, okay, what happened to, like, you know, codifying Row. Yeah, 818 00:41:04,360 --> 00:41:05,879 Speaker 1: because you're like, no, no, no, I know you don't. 819 00:41:06,000 --> 00:41:08,880 Speaker 1: Don't bring the smoke to a Supreme Court justice's house. No, no, no, 820 00:41:09,320 --> 00:41:12,359 Speaker 1: Because again they're revealing it's very clear what they're trying 821 00:41:12,360 --> 00:41:14,360 Speaker 1: to reveal. They want to maintain the status quot No, 822 00:41:14,400 --> 00:41:17,040 Speaker 1: not necessarily that they they're saying, we want to protect 823 00:41:17,120 --> 00:41:19,920 Speaker 1: this overturning of Row, but they certainly don't want a 824 00:41:20,000 --> 00:41:24,880 Speaker 1: reality where people are organizing in mass and voicing their displeasure, 825 00:41:24,920 --> 00:41:28,600 Speaker 1: because that's the road to o Where is the power 826 00:41:28,719 --> 00:41:33,880 Speaker 1: then at that point, also, it's not please or thank you, 827 00:41:34,040 --> 00:41:36,319 Speaker 1: it's please and thank you. So if they didn't want 828 00:41:36,360 --> 00:41:39,280 Speaker 1: to be threatening, it should have been Susie, please, maynards 829 00:41:39,320 --> 00:41:41,560 Speaker 1: want w h p A, but clean up your mess, 830 00:41:41,920 --> 00:41:45,560 Speaker 1: thank you. So clearly this is the work of al Qaeda, 831 00:41:45,719 --> 00:41:49,680 Speaker 1: I would say, mm hmm. I mean it's just wild. 832 00:41:49,960 --> 00:41:52,040 Speaker 1: You know, you have Chris Coon's and John corn and 833 00:41:52,080 --> 00:41:56,000 Speaker 1: a Democrat and Republican. They're introducing the bill with unanimous 834 00:41:56,080 --> 00:42:00,640 Speaker 1: support to provide extended security protection for the immediate family 835 00:42:00,680 --> 00:42:04,480 Speaker 1: members of Supreme Court Justices. And you're not you're not 836 00:42:04,640 --> 00:42:09,080 Speaker 1: connecting the fucking dots. But listen, there are they are 837 00:42:09,239 --> 00:42:13,000 Speaker 1: but bombs with tumblers full of white wine and sprite 838 00:42:13,080 --> 00:42:15,320 Speaker 1: and a fucking pocket full of chalk. You know what 839 00:42:15,400 --> 00:42:17,520 Speaker 1: I mean. It is a dangerous world out here, Miles. 840 00:42:18,520 --> 00:42:22,239 Speaker 1: You're right, now, you're right, you're right. No, yeah, let's 841 00:42:22,280 --> 00:42:35,600 Speaker 1: take a quick break. We'll be right back. And we're back, 842 00:42:37,040 --> 00:42:41,319 Speaker 1: And I want to talk about like what we were 843 00:42:41,400 --> 00:42:45,440 Speaker 1: just talking about, basically the fact that when somebody writes 844 00:42:45,560 --> 00:42:49,880 Speaker 1: on someone's sidewalk and chalk or quietly protests out the 845 00:42:50,239 --> 00:42:53,680 Speaker 1: outside of someone's house, and it's protesting a right wing 846 00:42:53,960 --> 00:43:00,480 Speaker 1: policy being promoted by white Bible thumping men like they're 847 00:43:01,040 --> 00:43:05,360 Speaker 1: the reaction is to protect the Bible thumping men. But 848 00:43:06,120 --> 00:43:09,480 Speaker 1: on the other hand, I think a trend that is 849 00:43:09,520 --> 00:43:13,239 Speaker 1: being there's just kind of been normalized just because it's 850 00:43:13,280 --> 00:43:15,239 Speaker 1: like one of many pieces of bad news, but the 851 00:43:15,360 --> 00:43:19,560 Speaker 1: whole like rhetoric coming off of the right that like 852 00:43:19,840 --> 00:43:25,160 Speaker 1: anybody who talks to children makes room for children to 853 00:43:25,840 --> 00:43:31,759 Speaker 1: have questions or even have gender affirming healthcare or you know, 854 00:43:31,920 --> 00:43:36,520 Speaker 1: messages around them is a groomer. So this guy, Jack 855 00:43:36,640 --> 00:43:40,680 Speaker 1: Califano tweeted last night the groomer and pedophile thing are 856 00:43:40,719 --> 00:43:43,600 Speaker 1: the clearest moment where where I thought, oh, wow, they're 857 00:43:43,640 --> 00:43:45,920 Speaker 1: really they really are planning on killing a lot of 858 00:43:46,000 --> 00:43:51,800 Speaker 1: people eventually, because like if you read about genocides in 859 00:43:52,000 --> 00:43:57,600 Speaker 1: history like Rwanda, you know, like modern history, all it 860 00:43:57,719 --> 00:44:01,520 Speaker 1: takes is like government come flicity, which not hard to 861 00:44:01,600 --> 00:44:06,719 Speaker 1: imagine Trump administration and a source of information that is 862 00:44:06,800 --> 00:44:09,680 Speaker 1: just like reinforcing this messaging over and over again. And 863 00:44:10,200 --> 00:44:14,719 Speaker 1: Rwanda was like radio state radio. But like, I don't know, 864 00:44:14,920 --> 00:44:18,440 Speaker 1: it's just we're in a really dangerous place and I 865 00:44:18,600 --> 00:44:22,400 Speaker 1: don't know how it gets less dangerous before, you know, 866 00:44:23,400 --> 00:44:26,560 Speaker 1: Like we we've seen story of people accosting families with 867 00:44:26,680 --> 00:44:29,279 Speaker 1: kay parents and public telling them, telling the kids they 868 00:44:29,320 --> 00:44:31,680 Speaker 1: need to get away from their parents because they're groomers. 869 00:44:32,320 --> 00:44:35,359 Speaker 1: And in the mainstream we've seen like the panic over 870 00:44:35,520 --> 00:44:39,840 Speaker 1: like the quote from a Disney call where they're just 871 00:44:39,960 --> 00:44:44,840 Speaker 1: talking about spreading acceptance and messaging about like acceptance and 872 00:44:44,960 --> 00:44:48,120 Speaker 1: diversity and their work, and they've turned that into like 873 00:44:48,800 --> 00:44:51,520 Speaker 1: they're trying to brainwash our kids and like groom them 874 00:44:51,880 --> 00:44:56,000 Speaker 1: to like victimize them. So actually, I don't know, it's 875 00:44:56,160 --> 00:44:59,080 Speaker 1: like that that tweet really like struck me as like 876 00:44:59,600 --> 00:45:03,440 Speaker 1: actually really true and kind of like something we should 877 00:45:03,480 --> 00:45:05,520 Speaker 1: be thinking about more and not to be like we 878 00:45:05,680 --> 00:45:08,400 Speaker 1: we need to be like terrified. But this is a 879 00:45:08,719 --> 00:45:13,279 Speaker 1: very like dangerous undercurrent that's only getting like louder and 880 00:45:13,440 --> 00:45:16,560 Speaker 1: more surface level. I feel like I think people should 881 00:45:16,560 --> 00:45:20,320 Speaker 1: be more terrified. Yeah, yeah, I mean it's it's terrifying 882 00:45:20,400 --> 00:45:23,560 Speaker 1: overall because this is also a smoke screen for coming 883 00:45:23,640 --> 00:45:28,080 Speaker 1: from real pedophiles. Yeah, do you know what I'm saying, Like, 884 00:45:28,200 --> 00:45:31,479 Speaker 1: I mean, let's let's let's really look at this even further. 885 00:45:32,000 --> 00:45:34,800 Speaker 1: This is a complete you know, this is a tactic 886 00:45:34,840 --> 00:45:37,960 Speaker 1: in a group of people that we know are involved 887 00:45:38,000 --> 00:45:40,400 Speaker 1: in trafficking and sex rings with children. And now that 888 00:45:40,400 --> 00:45:42,200 Speaker 1: it's like, you know, to kind of reapply and to 889 00:45:42,239 --> 00:45:46,040 Speaker 1: sort of project this onto you know, the gay population, 890 00:45:46,200 --> 00:45:49,880 Speaker 1: and to try to use sort of the widespreadness of 891 00:45:49,960 --> 00:45:52,000 Speaker 1: us trying to like understand more and to try to 892 00:45:52,040 --> 00:45:54,920 Speaker 1: be accepting of trans people of all ages. Right, you know, 893 00:45:55,040 --> 00:45:57,320 Speaker 1: this is a scary time and we should not be 894 00:45:57,400 --> 00:45:59,640 Speaker 1: going backwards and forgetting and like it just it sucks 895 00:45:59,680 --> 00:46:03,040 Speaker 1: because when you use things like pedophilia, it makes it 896 00:46:03,120 --> 00:46:05,000 Speaker 1: easier for people to be pedophiles, right because people to 897 00:46:05,120 --> 00:46:07,680 Speaker 1: redirect that attention somewhere else. And it's like, meanwhile, there's 898 00:46:07,760 --> 00:46:09,520 Speaker 1: kids that are being hurt, Like I don't want to, 899 00:46:10,080 --> 00:46:11,440 Speaker 1: you know, say that we shouldn't be aware of that 900 00:46:11,480 --> 00:46:13,839 Speaker 1: because that is a real problem. But like it's such 901 00:46:13,880 --> 00:46:15,759 Speaker 1: a slippery slope to move into be like no, now, 902 00:46:15,840 --> 00:46:17,799 Speaker 1: let's just kill all gay people because gay people are 903 00:46:18,000 --> 00:46:20,800 Speaker 1: the reason why pedophilia exists, and that's that they're not 904 00:46:20,920 --> 00:46:24,600 Speaker 1: the same thing that that's they're told the conflation is 905 00:46:25,040 --> 00:46:27,880 Speaker 1: precisely what they're going for. And I mean, you just 906 00:46:28,000 --> 00:46:29,920 Speaker 1: even look right because for all the talk of like 907 00:46:30,040 --> 00:46:32,080 Speaker 1: you know, you're gonna have to vote your way out 908 00:46:32,160 --> 00:46:34,000 Speaker 1: of this or whatever, I mean, do you look at 909 00:46:34,040 --> 00:46:39,360 Speaker 1: the maps and how jerrymandered there are. It's most political 910 00:46:39,440 --> 00:46:42,359 Speaker 1: forecasters like I don't think that I don't know how 911 00:46:42,440 --> 00:46:44,439 Speaker 1: the funk the Democrats are going to get a real 912 00:46:44,520 --> 00:46:46,440 Speaker 1: majority in the Senate. Again, if you look at how 913 00:46:46,520 --> 00:46:49,440 Speaker 1: these maps are going out, the jerrymandering works of voter suppression, 914 00:46:50,000 --> 00:46:54,359 Speaker 1: that are they even thinking about it from their perspective too, 915 00:46:54,400 --> 00:46:59,399 Speaker 1: it's like the deck is getting stacked increasingly, and it's 916 00:46:59,440 --> 00:47:01,640 Speaker 1: a chance of of like being able to turn over 917 00:47:01,760 --> 00:47:05,640 Speaker 1: politicians at a high rate is not very realistic. And 918 00:47:05,840 --> 00:47:07,880 Speaker 1: I think the other thing that people don't realize too 919 00:47:07,960 --> 00:47:11,680 Speaker 1: is how gridlocked state houses are too, especially in red states. 920 00:47:12,520 --> 00:47:15,759 Speaker 1: It's it's very difficult. So I think, I don't know, 921 00:47:15,800 --> 00:47:17,000 Speaker 1: I mean, I think this is this is just something 922 00:47:17,080 --> 00:47:21,120 Speaker 1: that generally deserves more awareness because, like, like we're saying, 923 00:47:21,160 --> 00:47:24,400 Speaker 1: even with this, with how Aldo is talking about this decision, 924 00:47:25,120 --> 00:47:28,319 Speaker 1: the logic is almost it's basically boiling down to it's 925 00:47:28,320 --> 00:47:30,600 Speaker 1: not literally in the constitution, it's not a right, yeah 926 00:47:31,040 --> 00:47:34,719 Speaker 1: Jesus Christ. So that leads to gay marriage, that leads 927 00:47:34,800 --> 00:47:38,120 Speaker 1: to contraception, that leads to so many other things like that. 928 00:47:38,920 --> 00:47:40,680 Speaker 1: Now some states aren't going to do it the way, 929 00:47:40,760 --> 00:47:43,279 Speaker 1: you know, like everyone, but like we said, like we 930 00:47:43,400 --> 00:47:46,319 Speaker 1: touched on yesterday or the day before, how this could 931 00:47:46,320 --> 00:47:50,200 Speaker 1: also lead to like interest state legal battles about trying 932 00:47:50,239 --> 00:47:54,439 Speaker 1: to extradite people like to say this this doctor gave 933 00:47:54,480 --> 00:47:57,560 Speaker 1: abortion care to this person from the state where it's illegal, 934 00:47:57,600 --> 00:48:00,279 Speaker 1: and now want to charge you with attempted murders something 935 00:48:00,400 --> 00:48:03,920 Speaker 1: like that. That is another quagmire that is, you know, 936 00:48:04,040 --> 00:48:06,120 Speaker 1: on the horizon as well with as with things get 937 00:48:06,160 --> 00:48:09,640 Speaker 1: more litigious, and fraud and accusations of like child abuse 938 00:48:09,719 --> 00:48:14,120 Speaker 1: and child murder and things like that are always heavily 939 00:48:15,160 --> 00:48:19,600 Speaker 1: involved in you know, the early stages of a build 940 00:48:19,640 --> 00:48:24,000 Speaker 1: up to genocide, Like the anti Semitic belief that Jews 941 00:48:24,120 --> 00:48:27,600 Speaker 1: were ritually murdering children was like a big part of 942 00:48:27,760 --> 00:48:33,520 Speaker 1: like blood libel, which eventually you know, led to the Holocaust, 943 00:48:33,800 --> 00:48:38,399 Speaker 1: you know, and all of this would be like less 944 00:48:38,440 --> 00:48:41,239 Speaker 1: concerning if we didn't live in a society where right 945 00:48:41,320 --> 00:48:46,000 Speaker 1: wing violence is like tolerated and left wing protesting for 946 00:48:46,160 --> 00:48:50,400 Speaker 1: human rights is equated with terrorism. Like that is that 947 00:48:50,640 --> 00:48:54,920 Speaker 1: is the mainstream response, Like that's you know, we we 948 00:48:55,040 --> 00:48:58,399 Speaker 1: talked about it with Susan Collins, but there has been 949 00:48:58,600 --> 00:49:04,120 Speaker 1: so much right wing extremism, and like the response from 950 00:49:04,200 --> 00:49:07,320 Speaker 1: the right is to like openly put like screen a 951 00:49:07,480 --> 00:49:10,160 Speaker 1: documentary where they're like, this is an attack on you, 952 00:49:10,520 --> 00:49:13,240 Speaker 1: like something that like amps up the rhetoric. Like Tugger 953 00:49:13,320 --> 00:49:17,759 Speaker 1: Carlson had that like January six like documentary that was 954 00:49:18,280 --> 00:49:22,440 Speaker 1: basically claiming that any sort of attempt to address right 955 00:49:22,480 --> 00:49:27,400 Speaker 1: wing extremism is a like political act by the left, 956 00:49:27,800 --> 00:49:32,320 Speaker 1: political act of like attacking, and it's just so dangerous 957 00:49:32,360 --> 00:49:34,840 Speaker 1: and heading in a more dangerous direction, and there's just 958 00:49:34,960 --> 00:49:40,160 Speaker 1: like nothing really pushing back on it, you know. Yeah, 959 00:49:40,239 --> 00:49:44,239 Speaker 1: I mean again, why it's even more important to begin 960 00:49:44,360 --> 00:49:47,320 Speaker 1: looking in your own community and understanding, like you know, 961 00:49:47,400 --> 00:49:51,719 Speaker 1: those how mutual aid is works because it you know, 962 00:49:51,800 --> 00:49:54,120 Speaker 1: there are there are there's there is a possibility for 963 00:49:54,280 --> 00:49:58,040 Speaker 1: a positive outcome. But the way leadership is now in 964 00:49:58,160 --> 00:49:59,920 Speaker 1: this country, it's it's hard to know that. I mean, 965 00:50:00,040 --> 00:50:02,360 Speaker 1: there's just like they're so out of touch with everything 966 00:50:02,440 --> 00:50:06,359 Speaker 1: that's happening. Katie Porter, who's the congress congresswoman from California 967 00:50:06,800 --> 00:50:11,360 Speaker 1: who regularly gives really moving speeches or like interrogates bankers 968 00:50:11,480 --> 00:50:14,720 Speaker 1: or other people. She and apparently like in a closed 969 00:50:14,840 --> 00:50:18,320 Speaker 1: session meeting with other Democrats, she like got really emotional 970 00:50:18,440 --> 00:50:21,520 Speaker 1: just talking about how expensive like just literally bacon is 971 00:50:21,600 --> 00:50:25,000 Speaker 1: at the store and how many families are looking to 972 00:50:25,040 --> 00:50:28,160 Speaker 1: be like holy sh it, sandwich bread is like five bucks, 973 00:50:29,000 --> 00:50:30,960 Speaker 1: Like how the funk do And now I'm on the 974 00:50:31,000 --> 00:50:34,759 Speaker 1: search for something that's like under four or cereals like 975 00:50:34,920 --> 00:50:38,360 Speaker 1: seven or six and a half, and she was talking 976 00:50:38,360 --> 00:50:42,120 Speaker 1: about just her experience as a as a provider, and 977 00:50:42,239 --> 00:50:44,480 Speaker 1: the the the and the even the stress. She fell 978 00:50:44,560 --> 00:50:45,799 Speaker 1: to be like, I don't know if I can buy 979 00:50:45,920 --> 00:50:47,960 Speaker 1: ten dollars a ten dollar pack of bacon when I 980 00:50:48,040 --> 00:50:51,640 Speaker 1: go to the store. And apparently she was saying after that, 981 00:50:51,760 --> 00:50:53,640 Speaker 1: she said it was the first time she saw her 982 00:50:53,760 --> 00:50:57,520 Speaker 1: colleagues kind of connect with what she was saying, and 983 00:50:57,600 --> 00:51:00,680 Speaker 1: they said, but this isn't showing that. She said. Somebody 984 00:51:00,760 --> 00:51:02,880 Speaker 1: came up to another congressman and said, this isn't showing 985 00:51:02,960 --> 00:51:05,600 Speaker 1: up in the polling, and she said, you're not asking 986 00:51:05,680 --> 00:51:10,239 Speaker 1: the right fucking question, correct. And that's I think so 987 00:51:10,520 --> 00:51:14,480 Speaker 1: revealing is that so many there's only like a handful 988 00:51:14,520 --> 00:51:16,680 Speaker 1: of people that are in Congress that are like, man, 989 00:51:16,719 --> 00:51:20,319 Speaker 1: this ship is so bad for normal people, Like half 990 00:51:20,360 --> 00:51:23,160 Speaker 1: of y'all are millionaire, mostly are millionaires, So what the 991 00:51:23,200 --> 00:51:25,960 Speaker 1: funk would you know about? Like you barely bad and 992 00:51:26,080 --> 00:51:28,960 Speaker 1: eye it's five dollar blow for for bread because the 993 00:51:29,040 --> 00:51:31,080 Speaker 1: five dollars nothing to you. But if you have a 994 00:51:31,160 --> 00:51:35,480 Speaker 1: budget and ship's increasing by orders of like twenty percent 995 00:51:35,560 --> 00:51:38,640 Speaker 1: at a time, that throws your whole fucking life off. 996 00:51:39,160 --> 00:51:41,960 Speaker 1: And that's the thing that they're not connecting within so 997 00:51:42,080 --> 00:51:44,440 Speaker 1: many other things that you know, like every even like 998 00:51:45,120 --> 00:51:46,839 Speaker 1: n g O s that are talking about the rise 999 00:51:46,920 --> 00:51:48,880 Speaker 1: of fascism in the U S. They're like, Yeah, the 1000 00:51:48,960 --> 00:51:52,839 Speaker 1: way to combat it would be to combat inequality. Yeah, yeah, 1001 00:51:53,760 --> 00:51:57,560 Speaker 1: that's it. Don't don't allow the tension people experience to 1002 00:51:57,600 --> 00:52:00,520 Speaker 1: be co opted by other people's narratives, say to put 1003 00:52:00,560 --> 00:52:02,600 Speaker 1: fascism and ship in their head and be like, and 1004 00:52:02,840 --> 00:52:05,640 Speaker 1: that's why you're broke. Well, I think it's so important 1005 00:52:05,640 --> 00:52:07,440 Speaker 1: to like people on the coasts, you know what I mean. 1006 00:52:07,480 --> 00:52:10,000 Speaker 1: It's so easy because we do make more money people 1007 00:52:10,040 --> 00:52:11,359 Speaker 1: who live on the coast, you know what I mean, 1008 00:52:11,440 --> 00:52:13,919 Speaker 1: then the rest of the country. And I think it's 1009 00:52:13,960 --> 00:52:16,400 Speaker 1: so easy to get out of perspective, to get so 1010 00:52:16,480 --> 00:52:18,400 Speaker 1: angry about the wrong stuff, you know what I mean, 1011 00:52:18,480 --> 00:52:20,000 Speaker 1: And not that like there's right stuff and wrong stuff, 1012 00:52:20,040 --> 00:52:21,279 Speaker 1: but they're kind of is you know what I mean, 1013 00:52:21,400 --> 00:52:24,759 Speaker 1: Like you need to be aware of what all these 1014 00:52:24,880 --> 00:52:28,120 Speaker 1: decisions are doing and how they're impacting the people that 1015 00:52:28,200 --> 00:52:30,400 Speaker 1: live in the middle and live in other areas like 1016 00:52:30,960 --> 00:52:35,080 Speaker 1: being down here, correct, you know, it could be the 1017 00:52:35,120 --> 00:52:36,800 Speaker 1: other side of the city that you don't drive to 1018 00:52:36,920 --> 00:52:39,359 Speaker 1: that you don't see, you know what I mean, It's 1019 00:52:39,400 --> 00:52:41,320 Speaker 1: like you just need to open your eyes and be aware. 1020 00:52:41,440 --> 00:52:43,399 Speaker 1: Like being down here there South is definitely like given 1021 00:52:43,440 --> 00:52:47,360 Speaker 1: me a new perspective on everything, you know what I mean, 1022 00:52:47,400 --> 00:52:51,759 Speaker 1: because there's just such a huge juxtaposition of very very 1023 00:52:51,840 --> 00:52:54,720 Speaker 1: poor and people who are just like not on the internet, 1024 00:52:54,920 --> 00:52:56,520 Speaker 1: you know what I mean, and just stuff that is 1025 00:52:57,040 --> 00:52:59,280 Speaker 1: a little bit different. But it's there's such a divide 1026 00:52:59,360 --> 00:53:02,320 Speaker 1: in our country and it is terrifying. It's terrifying and 1027 00:53:02,360 --> 00:53:05,080 Speaker 1: it's sad. And I think we just need to be 1028 00:53:05,160 --> 00:53:08,160 Speaker 1: able to get over like our philosophy as a nation 1029 00:53:08,360 --> 00:53:12,759 Speaker 1: that needing help is bad because I think that that's 1030 00:53:12,920 --> 00:53:17,080 Speaker 1: that mentality extends to you know, men in the just 1031 00:53:17,320 --> 00:53:20,719 Speaker 1: ridiculously high suicide rates and other things like there's just 1032 00:53:20,880 --> 00:53:23,760 Speaker 1: there's not a culture of saying you're vulnerable in this country, 1033 00:53:24,400 --> 00:53:28,200 Speaker 1: and that's that's not okay because like, oh, what you're poor? Okay, 1034 00:53:28,239 --> 00:53:31,560 Speaker 1: how poor are you? Do you deserve this? Like what 1035 00:53:31,760 --> 00:53:33,640 Speaker 1: the fuck I said? I need help? I said I 1036 00:53:33,719 --> 00:53:36,680 Speaker 1: can't afford food, and now you're means testing this ship. 1037 00:53:37,040 --> 00:53:39,440 Speaker 1: I just need help or and and the shame that 1038 00:53:39,520 --> 00:53:41,600 Speaker 1: goes along with that and I think, and that we're 1039 00:53:41,960 --> 00:53:44,839 Speaker 1: constantly making people feel ashamed of that rather than saying 1040 00:53:45,239 --> 00:53:47,400 Speaker 1: we need to just embrace people that need help and 1041 00:53:47,520 --> 00:53:50,399 Speaker 1: that's fine. People need to be more open to say 1042 00:53:50,840 --> 00:53:53,360 Speaker 1: I mean not to say people aren't expressing that, but 1043 00:53:53,760 --> 00:53:57,200 Speaker 1: culturally that's still we're still not at that point where 1044 00:53:57,239 --> 00:54:00,880 Speaker 1: we lable yeah, and we embrace that. And there's not 1045 00:54:01,000 --> 00:54:03,799 Speaker 1: a full time job's worth of work to get the help, 1046 00:54:04,000 --> 00:54:08,640 Speaker 1: which is current way it works. You have to suddenly 1047 00:54:08,719 --> 00:54:12,239 Speaker 1: work twenty hours a week to just manage the insane, 1048 00:54:12,760 --> 00:54:18,000 Speaker 1: insanely understaffed system of the government and government subsidies and help, 1049 00:54:18,200 --> 00:54:20,439 Speaker 1: and all those offices are only open during the hours 1050 00:54:20,520 --> 00:54:22,279 Speaker 1: that you are at work, and your children, you know, 1051 00:54:22,440 --> 00:54:24,640 Speaker 1: are are not at school. So it's like you have 1052 00:54:24,760 --> 00:54:27,480 Speaker 1: to sacrifice either your own job, your child care, or 1053 00:54:27,520 --> 00:54:30,960 Speaker 1: your child's education in order to facilitate, like you said, 1054 00:54:31,520 --> 00:54:33,759 Speaker 1: getting those services. Right, there's some stuff you can't even 1055 00:54:33,800 --> 00:54:35,480 Speaker 1: do online. You gotta go in there. You gotta show 1056 00:54:35,560 --> 00:54:38,280 Speaker 1: them some piece of paper, you gotta you know, it's terrible. 1057 00:54:38,719 --> 00:54:40,400 Speaker 1: It's like how you suck someone to work and then 1058 00:54:40,440 --> 00:54:42,439 Speaker 1: you also come in here between eight and two pm. 1059 00:54:43,440 --> 00:54:47,000 Speaker 1: And that's how we save money. That's how the government. Yeah, 1060 00:54:47,400 --> 00:54:49,359 Speaker 1: and then we can still pat ourselves on the back saying, hey, 1061 00:54:49,360 --> 00:54:53,879 Speaker 1: I signed that bill not allowed for that, but yeah 1062 00:54:54,040 --> 00:54:56,719 Speaker 1: but we but we we kneecap that little provision to 1063 00:54:56,800 --> 00:54:59,120 Speaker 1: the point that did is gonna do fun all. Don't worry. 1064 00:54:59,280 --> 00:55:02,719 Speaker 1: But I can help tell them for money and resources 1065 00:55:02,840 --> 00:55:06,040 Speaker 1: to take advantage of every break the government wants to 1066 00:55:06,040 --> 00:55:11,360 Speaker 1: give them as corporations and rich people. Lydia, such a 1067 00:55:11,400 --> 00:55:15,480 Speaker 1: pleasure having you as always. Thanks. Where can people find you? 1068 00:55:15,719 --> 00:55:18,399 Speaker 1: Follow you all that good stuff? Sure you can find 1069 00:55:18,480 --> 00:55:22,279 Speaker 1: me on Twitter and Instagram at hater Tuesday. I have 1070 00:55:22,360 --> 00:55:25,600 Speaker 1: a website as well called Lydia Popovich dot com. If 1071 00:55:25,680 --> 00:55:28,120 Speaker 1: you are someone who knows how to work Squarespace, fucking 1072 00:55:28,400 --> 00:55:30,120 Speaker 1: email me. I don't like it anymore and I can't 1073 00:55:30,120 --> 00:55:31,640 Speaker 1: figure out how to use it and I need some help. 1074 00:55:31,719 --> 00:55:34,720 Speaker 1: So throw that out these fucking nerds. Somebody knows the internet. 1075 00:55:34,760 --> 00:55:37,160 Speaker 1: Help me out. I just want to pun I bet 1076 00:55:37,239 --> 00:55:40,000 Speaker 1: you look, That's what I'm saying. Like, if if any 1077 00:55:40,080 --> 00:55:46,160 Speaker 1: audience can help me, hat Tuesday go, So yeah, Lydia 1078 00:55:46,200 --> 00:55:49,000 Speaker 1: Popovich dot com. I am doing shows this weekend with 1079 00:55:49,360 --> 00:55:53,000 Speaker 1: my best friend and certainly not yours. Marcella Arguao. She 1080 00:55:53,200 --> 00:55:57,120 Speaker 1: and I are at the Comedy Fort and Fort Collins, 1081 00:55:57,200 --> 00:56:01,279 Speaker 1: Colorado on fourt She is courting her second album, So 1082 00:56:01,480 --> 00:56:03,319 Speaker 1: come through, you'll see me featuring and then you'll see 1083 00:56:03,360 --> 00:56:06,680 Speaker 1: Marcella do a killer hour. So that's gonna be fucking 1084 00:56:06,800 --> 00:56:11,759 Speaker 1: ride weekend of shows. Yeah, that's as Yeah, I'm gonna 1085 00:56:11,760 --> 00:56:13,720 Speaker 1: spoke so much good wet. I can't wait because California 1086 00:56:13,760 --> 00:56:15,359 Speaker 1: prices are out of control and we know what's happened 1087 00:56:15,400 --> 00:56:18,239 Speaker 1: in Tennessee. So I'm really looking forward to to being 1088 00:56:18,280 --> 00:56:21,760 Speaker 1: in Colorado and seeing what's good Colorado. Let's hang, Hey, Colorado, 1089 00:56:21,800 --> 00:56:24,560 Speaker 1: is that gang come out to the show? Let Lydia 1090 00:56:24,640 --> 00:56:27,680 Speaker 1: know she's internationally known and locally respected, you know what 1091 00:56:27,760 --> 00:56:34,839 Speaker 1: I mean. Yes, Marcella, Marcella, she got so big on us, 1092 00:56:34,880 --> 00:56:39,719 Speaker 1: you know what I mean. That's true. So much love 1093 00:56:39,800 --> 00:56:42,880 Speaker 1: for Marcella. Oh yeah, nothing, But is there a tweet 1094 00:56:42,920 --> 00:56:45,920 Speaker 1: or some other work of social media you've been enjoying? Um, 1095 00:56:46,080 --> 00:56:48,680 Speaker 1: so this is related to the top of the hour tweet. 1096 00:56:48,760 --> 00:56:50,320 Speaker 1: So you know I did all that googl and for 1097 00:56:50,760 --> 00:56:52,840 Speaker 1: Jesse Williams, and of course you give us to the 1098 00:56:52,880 --> 00:56:55,480 Speaker 1: algorithm and you shall receive whether you want to or not. 1099 00:56:56,280 --> 00:56:59,800 Speaker 1: So I got a tweet that fell into my feed. 1100 00:57:00,000 --> 00:57:02,440 Speaker 1: It made me laugh so hard. I can only describe 1101 00:57:02,480 --> 00:57:04,960 Speaker 1: it because it's a video, and then you can try 1102 00:57:05,000 --> 00:57:06,640 Speaker 1: to find it. And I won't give the person a 1103 00:57:06,680 --> 00:57:08,359 Speaker 1: shout out it is because there's like an only fans 1104 00:57:08,440 --> 00:57:10,320 Speaker 1: person and I think they probably do porn and whatever. 1105 00:57:10,920 --> 00:57:13,760 Speaker 1: So the tweet is just the words say this clingy, 1106 00:57:13,880 --> 00:57:15,680 Speaker 1: and then it has kind of like a smirky face, 1107 00:57:15,800 --> 00:57:18,280 Speaker 1: and then the video is a girl laying down in 1108 00:57:18,320 --> 00:57:20,840 Speaker 1: a dude's lap just using his dick to scroll her phone, 1109 00:57:20,880 --> 00:57:24,280 Speaker 1: and it's fucking hilarious. She's like scroll using it like 1110 00:57:24,400 --> 00:57:28,120 Speaker 1: a what's it called, like a depend like a stylus. Yes, 1111 00:57:28,160 --> 00:57:30,280 Speaker 1: and she's like she's I'm watching it now. It's so funny. 1112 00:57:30,320 --> 00:57:32,800 Speaker 1: She's swiping up, she's double tapping with a tip. It 1113 00:57:32,960 --> 00:57:36,120 Speaker 1: is very funny. So shout out to that couple, because 1114 00:57:36,200 --> 00:57:38,800 Speaker 1: hey man, I'm here for it. I love that kind 1115 00:57:38,840 --> 00:57:41,520 Speaker 1: of comfort nous and you and your love together. But 1116 00:57:41,560 --> 00:57:43,960 Speaker 1: it's it's quite funny. I never it's just so fucking stupid, 1117 00:57:44,280 --> 00:57:46,560 Speaker 1: like swiping up with a with a fucking dick. It's great, 1118 00:57:47,200 --> 00:57:50,760 Speaker 1: nice looking dick too. All right, big big day for 1119 00:57:51,080 --> 00:57:54,640 Speaker 1: nice looking dicks. Serious Miles, Where can people find you? 1120 00:57:54,840 --> 00:57:57,240 Speaker 1: What is the tweet you've been enjoying? You can find 1121 00:57:57,280 --> 00:58:00,480 Speaker 1: me on Twitter and Instagram at Miles of Gray, and 1122 00:58:00,680 --> 00:58:03,600 Speaker 1: also check out the basketball podcast Myles and Jack Got 1123 00:58:03,680 --> 00:58:06,440 Speaker 1: Mad Boost. These were talking NBA every week with a 1124 00:58:06,520 --> 00:58:09,960 Speaker 1: fantastic guest. Oh we have I'm not joking. We're gonna 1125 00:58:10,640 --> 00:58:14,080 Speaker 1: actual legendary players on soon and I can't even I want. 1126 00:58:14,080 --> 00:58:15,560 Speaker 1: I'm gonna wait for it to happen, and then I 1127 00:58:15,600 --> 00:58:17,160 Speaker 1: will scream from the top of the mountain who we 1128 00:58:17,200 --> 00:58:20,640 Speaker 1: spoke to, but hold on to really hold off on 1129 00:58:21,160 --> 00:58:24,680 Speaker 1: that tease until until it's locked, until it's in the can. 1130 00:58:24,880 --> 00:58:28,960 Speaker 1: When it's in the camp I will be screaming my 1131 00:58:29,160 --> 00:58:32,080 Speaker 1: head off and you can only imagine why. Okay, so 1132 00:58:32,680 --> 00:58:36,040 Speaker 1: let's see a tweet that I like. First. One is 1133 00:58:36,160 --> 00:58:41,480 Speaker 1: from Rohita Kadambi at Rohita Kadambi tweeted, Hi, I'm Nicholas 1134 00:58:41,480 --> 00:58:49,080 Speaker 1: Shay and this is Netflix's Stanford prison experiment. Shout out 1135 00:58:49,080 --> 00:58:51,320 Speaker 1: to Africa. Somebody in that getting tagged me in that 1136 00:58:51,640 --> 00:58:54,520 Speaker 1: it was Jan. Shout out to Jan for letting me 1137 00:58:54,600 --> 00:58:56,560 Speaker 1: know about that tweet. You were right, I did like 1138 00:58:56,720 --> 00:58:59,760 Speaker 1: that one. Uh there's another one that it says, truly 1139 00:59:00,000 --> 00:59:03,280 Speaker 1: I'd ley deeply at Bradapalooza. It's that it's so it's 1140 00:59:03,320 --> 00:59:06,480 Speaker 1: a picture of George W. Bush on nine eleven when 1141 00:59:06,480 --> 00:59:09,000 Speaker 1: he's at that school and the his like staffers whispering 1142 00:59:09,080 --> 00:59:11,280 Speaker 1: like you know, the twin to the World Trade Centers, 1143 00:59:11,520 --> 00:59:14,280 Speaker 1: the Pentagon's being attacked, and he's got that face, but 1144 00:59:14,400 --> 00:59:18,680 Speaker 1: the caption is sir, they just pronounced them Chuck and Larry, 1145 00:59:20,560 --> 00:59:25,880 Speaker 1: and his face is like, yeah, that's big things happening 1146 00:59:26,240 --> 00:59:28,440 Speaker 1: on that day. Let's see. You can find me on 1147 00:59:28,520 --> 00:59:33,000 Speaker 1: Twitter at Jack Underscore. Brian tweet I've been enjoying Mr 1148 00:59:33,160 --> 00:59:37,400 Speaker 1: meat Scraps, whose name is at really loud part on Twitter. 1149 00:59:39,680 --> 00:59:42,680 Speaker 1: That's what I read when I started Left tweeted, I'm 1150 00:59:42,720 --> 00:59:45,600 Speaker 1: on nine eleven, last responder. I just arrived on the 1151 00:59:45,640 --> 00:59:48,000 Speaker 1: scene today. Looks like it's already been taken care of. 1152 00:59:48,680 --> 00:59:52,040 Speaker 1: And Jason conceptsi Owned tweeted, I hope the Lakers got 1153 00:59:52,080 --> 00:59:55,280 Speaker 1: Crypto dot COM's naming rights money up front. That I 1154 00:59:56,000 --> 00:59:59,640 Speaker 1: literally had that thought myself in the lasts is like, wait, 1155 00:59:59,720 --> 01:00:02,720 Speaker 1: so that's still going to be called crypto dot com arena. 1156 01:00:02,880 --> 01:00:08,080 Speaker 1: Next year, Jack were called it. We knew as it happened. 1157 01:00:08,120 --> 01:00:10,240 Speaker 1: I was like, don't worry, that's not gonna last that long, 1158 01:00:11,000 --> 01:00:12,920 Speaker 1: like pets dot com arena, you know what I mean? 1159 01:00:13,600 --> 01:00:15,919 Speaker 1: They should just let the actual crypts sponsor. It would 1160 01:00:16,000 --> 01:00:23,280 Speaker 1: last longer. I'll be rad And then Colin Deerson tweeted, 1161 01:00:23,360 --> 01:00:26,280 Speaker 1: z Way should moderate a presidential debate, and that needs 1162 01:00:26,360 --> 01:00:28,760 Speaker 1: to happen. I would love it, but they won't do 1163 01:00:28,840 --> 01:00:33,440 Speaker 1: what the Republicans are done with debates. I actually don't 1164 01:00:33,480 --> 01:00:37,360 Speaker 1: know who would do worse than that. Oh my dude. Honestly, 1165 01:00:37,560 --> 01:00:41,320 Speaker 1: I think the Democrat would. Yeah, probably because they're They're 1166 01:00:41,320 --> 01:00:43,120 Speaker 1: the exact kind of person who gets tripped up on 1167 01:00:43,160 --> 01:00:48,160 Speaker 1: the show, like an actual racist person surprises there. They're 1168 01:00:48,200 --> 01:00:49,920 Speaker 1: used to get. They're like, hey, I don't know, I 1169 01:00:50,000 --> 01:00:53,120 Speaker 1: hate black people exactly. You know, you got it right? 1170 01:00:53,160 --> 01:00:55,560 Speaker 1: I absolutely agree. Yeah, yeah, if it were up to me, 1171 01:00:55,720 --> 01:00:58,360 Speaker 1: like I would look at you know, are you from here? Okay? 1172 01:00:58,400 --> 01:01:00,600 Speaker 1: Your parents aren't? Okay? Well then you could stay your 1173 01:01:00,600 --> 01:01:04,240 Speaker 1: parents not so much. Wow. You can find me on Twitter. 1174 01:01:04,400 --> 01:01:07,640 Speaker 1: Jack Underscore O'Brien find us on Twitter at Daily Zeitgeist 1175 01:01:07,680 --> 01:01:09,920 Speaker 1: were at The Daily Zeitgeist on Instagram. We have a 1176 01:01:09,960 --> 01:01:13,280 Speaker 1: Facebook fan page on a website, Daily Zeitgeist dot com, 1177 01:01:13,360 --> 01:01:16,520 Speaker 1: where we post our episodes. On our foot notes, we 1178 01:01:16,720 --> 01:01:18,800 Speaker 1: link off to the information that we talked about in 1179 01:01:18,920 --> 01:01:22,040 Speaker 1: today's episode, as well as a song that we think 1180 01:01:22,080 --> 01:01:26,560 Speaker 1: you might enjoy. Miles. As we head into the end 1181 01:01:26,640 --> 01:01:30,800 Speaker 1: of this week one when Kendrick's new album is about 1182 01:01:30,840 --> 01:01:33,840 Speaker 1: to be dropped upon us, what are what do you recommending? 1183 01:01:33,920 --> 01:01:36,360 Speaker 1: What should we which we use as a a moose bush? 1184 01:01:36,880 --> 01:01:45,320 Speaker 1: Oh man, let's see you know, sold to Soul? You know? Okay, Well, 1185 01:01:45,480 --> 01:01:48,720 Speaker 1: there's a remix of that by Strow Elliott called Soul 1186 01:01:48,800 --> 01:01:53,640 Speaker 1: to Stro and it's it's like a really interesting, like 1187 01:01:54,080 --> 01:01:57,080 Speaker 1: sort of like remix of some of the vocals chopped 1188 01:01:57,160 --> 01:01:59,280 Speaker 1: up of that song and made into a new beat. 1189 01:01:59,360 --> 01:02:02,200 Speaker 1: And as some body who loves the opening scene of Belly, 1190 01:02:02,520 --> 01:02:04,680 Speaker 1: I'm just a general fan of R and B music. Uh, 1191 01:02:04,800 --> 01:02:07,280 Speaker 1: this is a fantastic rework. So this is sold to 1192 01:02:07,640 --> 01:02:11,040 Speaker 1: Stro str oh by Strow Elliott. All right, we'll go 1193 01:02:11,240 --> 01:02:12,920 Speaker 1: check that out. The Daily a zeit geis is a 1194 01:02:12,920 --> 01:02:15,600 Speaker 1: production by heart Radio from more podcast from my heart Radio. 1195 01:02:15,680 --> 01:02:18,160 Speaker 1: Visit the heart Radio app, Apple podcast or wherever you 1196 01:02:18,240 --> 01:02:19,920 Speaker 1: listen to your favorite shows, that it is going to 1197 01:02:20,000 --> 01:02:23,320 Speaker 1: do it for us this morning. We're back this afternoon 1198 01:02:23,400 --> 01:02:25,600 Speaker 1: to tell you what is trending, and we will talk 1199 01:02:25,680 --> 01:02:28,600 Speaker 1: to y'all then Bye bye Byeyes