1 00:00:00,080 --> 00:00:03,280 Speaker 1: Hello the Internet, and welcome to Season one seventy five, 2 00:00:03,320 --> 00:00:07,720 Speaker 1: episode one of day production of I Heart Radio. This 3 00:00:07,840 --> 00:00:10,680 Speaker 1: is a podcast or we take a deep dive into 4 00:00:10,680 --> 00:00:18,079 Speaker 1: America's shared consciousness. It is Monday, March eight. My name 5 00:00:18,320 --> 00:00:22,200 Speaker 1: is Jack O'Brien a k I heard there was a 6 00:00:22,320 --> 00:00:27,800 Speaker 1: tasty code. The color red. The label showed the carbonated 7 00:00:27,960 --> 00:00:32,040 Speaker 1: caffeine goes right through you, and it goes like this. 8 00:00:32,320 --> 00:00:36,640 Speaker 1: The fourth fifth, you drink one more and that's the sixth. 9 00:00:37,080 --> 00:00:46,000 Speaker 1: Now palpitations, jitters and insomnia. Mountain do yah, mountain dew Yeah, 10 00:00:46,880 --> 00:00:54,320 Speaker 1: mountain do yah, mountain dude. Yeah. That is courtesy of 11 00:00:54,440 --> 00:00:59,400 Speaker 1: the broom or the bro or the bro. We don't know. 12 00:01:00,200 --> 00:01:03,000 Speaker 1: Two ohs uh and I'm thrilled to be joined as 13 00:01:03,040 --> 00:01:07,880 Speaker 1: always by my co host, Mr Miles Grab with all 14 00:01:07,920 --> 00:01:11,720 Speaker 1: your favorite tweets are gone. Hit a ball, Hit a 15 00:01:11,880 --> 00:01:15,880 Speaker 1: ball like I know you do. And even when you 16 00:01:16,120 --> 00:01:19,960 Speaker 1: jokes my bomb, hit a bong, Hit a bomb like 17 00:01:20,160 --> 00:01:22,400 Speaker 1: I know you do, and then I'm gonna hit a ball. 18 00:01:22,760 --> 00:01:26,240 Speaker 1: Thank you to Hana Soltist, the one and only for 19 00:01:26,360 --> 00:01:32,760 Speaker 1: that whole American Rejects inspired a beautiful um and you 20 00:01:32,840 --> 00:01:35,440 Speaker 1: could do the hand motion for hitting a bomb. So yeah, 21 00:01:35,520 --> 00:01:38,679 Speaker 1: just people couldn't appreciate that, you know, it's stage crack. Yeah, 22 00:01:38,760 --> 00:01:41,199 Speaker 1: maybe we can add a sound effect. Let's not though, 23 00:01:41,319 --> 00:01:44,320 Speaker 1: Let's just the theater of the mind. Theater of the mind. 24 00:01:44,880 --> 00:01:49,280 Speaker 1: H Miles. We are so lucky to be joined in 25 00:01:49,440 --> 00:01:54,520 Speaker 1: our third sea by the hilarious, the talented. Damn you here, 26 00:01:57,720 --> 00:02:08,440 Speaker 1: stop shop. What's good? Good good, I'm I'm Great's love 27 00:02:08,480 --> 00:02:10,360 Speaker 1: to hear it, so good to hear. It's been. I 28 00:02:10,480 --> 00:02:12,160 Speaker 1: was when I was like, when are we gonna have Tam? Yeah, 29 00:02:12,200 --> 00:02:15,840 Speaker 1: it's been. Yeah. Is this only your second time on? 30 00:02:17,680 --> 00:02:20,720 Speaker 1: And what a great first time? That a lot. It 31 00:02:20,840 --> 00:02:24,560 Speaker 1: was such a wonderful experience to hang out with you 32 00:02:24,600 --> 00:02:28,960 Speaker 1: guys and beautiful faces. Oh you're so sweet or whatever. 33 00:02:29,080 --> 00:02:31,160 Speaker 1: There was something about farts or something you said off 34 00:02:31,160 --> 00:02:34,200 Speaker 1: the rip in like the moments that we met each 35 00:02:34,200 --> 00:02:36,520 Speaker 1: other that first time, and I was like, yeah with Tam, 36 00:02:36,600 --> 00:02:40,080 Speaker 1: she's my people. Oh yeah, it was Miles. You smell 37 00:02:40,200 --> 00:02:50,680 Speaker 1: like farts, right, Um, she's so cool multiple farts, uh, Tam. 38 00:02:50,800 --> 00:02:52,280 Speaker 1: So this is the first time we're talking to you, 39 00:02:52,480 --> 00:02:55,440 Speaker 1: because the first time we recorded was in person. Remember 40 00:02:55,480 --> 00:03:00,480 Speaker 1: those days? What what's new with you? What has your 41 00:03:00,480 --> 00:03:05,919 Speaker 1: life been like in the last year, Um, good, really good. 42 00:03:05,960 --> 00:03:10,320 Speaker 1: I've been super productive. I wrote on a show, I 43 00:03:10,440 --> 00:03:17,359 Speaker 1: sold a show. Damn right, I mean I'm not I'm 44 00:03:17,360 --> 00:03:22,560 Speaker 1: not surprised because you are a super hilarious and talented wright. 45 00:03:23,560 --> 00:03:28,120 Speaker 1: But that's that's great, that's hell. Yeah. I I'm still 46 00:03:28,160 --> 00:03:30,640 Speaker 1: like three years ago, I was working at a hospital, 47 00:03:30,800 --> 00:03:36,400 Speaker 1: you know, so it's pretty wild. Yeah, it's like impostor 48 00:03:36,600 --> 00:03:40,240 Speaker 1: syndrome sets in constantly, you know, Yeah, don't let right now, 49 00:03:40,280 --> 00:03:43,760 Speaker 1: it's too late because you're there, so you are no impostor. 50 00:03:43,840 --> 00:03:47,800 Speaker 1: You are no impostor. I have to like act the 51 00:03:47,880 --> 00:03:52,280 Speaker 1: part now, and it's just like pretty I don't know 52 00:03:52,880 --> 00:03:56,240 Speaker 1: I'm being Is it that you have to act the part? 53 00:03:56,560 --> 00:03:59,040 Speaker 1: Or that you have to let go of those critical 54 00:03:59,160 --> 00:04:01,960 Speaker 1: voices in your head? You know? That's it. It's not 55 00:04:02,000 --> 00:04:03,920 Speaker 1: that you have to act differently, it's that you just 56 00:04:03,960 --> 00:04:07,720 Speaker 1: have to change your mindset and ignore that that fucking nonsense. 57 00:04:07,760 --> 00:04:09,960 Speaker 1: And you know that's always been like you sure it 58 00:04:10,000 --> 00:04:12,680 Speaker 1: couldn't be funnier? Is this the funniest thing? You know 59 00:04:12,720 --> 00:04:14,280 Speaker 1: what I mean? It's like, no, no, I'm done because 60 00:04:14,280 --> 00:04:17,039 Speaker 1: I'm here and it's validated. So you are useless now. 61 00:04:17,480 --> 00:04:20,320 Speaker 1: None of us are surprised him. None of us are surprised. 62 00:04:20,520 --> 00:04:22,279 Speaker 1: Hit me up, hit me up. I'll do this, I'll 63 00:04:22,279 --> 00:04:23,800 Speaker 1: do this ship. I'll give this ship for free on 64 00:04:23,880 --> 00:04:25,800 Speaker 1: the daily. You know what I mean. Please, I was 65 00:04:25,839 --> 00:04:32,080 Speaker 1: going to start therapy. I'll just say, oh, yeah, is 66 00:04:32,160 --> 00:04:34,440 Speaker 1: great for this. I get at least an hour and 67 00:04:34,480 --> 00:04:36,839 Speaker 1: a half of this every morning just to get out 68 00:04:36,839 --> 00:04:44,320 Speaker 1: of bed. It's me dragging Jack out of bed. Um, 69 00:04:44,360 --> 00:04:48,200 Speaker 1: that's amazing. Are you how do you feel about the 70 00:04:48,320 --> 00:04:52,520 Speaker 1: world opening back up? Do you have any trepidation about 71 00:04:52,640 --> 00:04:56,640 Speaker 1: that eventually happening in the next year? I really do. 72 00:04:57,040 --> 00:05:00,240 Speaker 1: I wish we could stay at an in between where 73 00:05:00,279 --> 00:05:03,480 Speaker 1: we get all the perks of being at home and 74 00:05:03,520 --> 00:05:05,680 Speaker 1: then all the perks of not being at I think 75 00:05:05,720 --> 00:05:08,040 Speaker 1: we should just take them. I think I don't think 76 00:05:08,040 --> 00:05:11,400 Speaker 1: we should let people uh force us back into the 77 00:05:11,520 --> 00:05:15,880 Speaker 1: before times when we felt pressured to go outside. And 78 00:05:15,960 --> 00:05:20,520 Speaker 1: that's my biggest worry is like Miles doesn't go anywhere 79 00:05:20,560 --> 00:05:23,760 Speaker 1: anymore because of the pandemic, Like he found that he 80 00:05:23,800 --> 00:05:29,320 Speaker 1: could be a under rock dwelling podcast and he's taking 81 00:05:29,320 --> 00:05:32,080 Speaker 1: all of his boxes need wise. But yeah, I don't 82 00:05:32,080 --> 00:05:35,440 Speaker 1: know I like, will you will you guys go back? 83 00:05:35,480 --> 00:05:37,640 Speaker 1: I mean you'll you'll eventually go back to being in 84 00:05:37,640 --> 00:05:42,279 Speaker 1: a studio, but do you want to? Yeah? On level. 85 00:05:42,560 --> 00:05:46,360 Speaker 1: But also like I think of how much I've been 86 00:05:46,400 --> 00:05:49,280 Speaker 1: able to like get a better balance of my time 87 00:05:49,720 --> 00:05:54,760 Speaker 1: from not having to commute that I'm like, m I 88 00:05:54,760 --> 00:05:56,480 Speaker 1: don't know. I feel like everybody's done a good job 89 00:05:56,600 --> 00:05:58,359 Speaker 1: learning how to just talk to each other over a 90 00:05:58,400 --> 00:06:03,440 Speaker 1: microphone from very far right. Yeah, yeah, it'll be nice 91 00:06:03,480 --> 00:06:08,279 Speaker 1: to like go outside. I still I still notice myself 92 00:06:08,320 --> 00:06:12,320 Speaker 1: like it being like a big event when I like 93 00:06:12,480 --> 00:06:14,920 Speaker 1: drive to the store for the day. So like, I 94 00:06:15,200 --> 00:06:17,360 Speaker 1: feel like that will be nice to like break up 95 00:06:18,160 --> 00:06:22,200 Speaker 1: just like your sensory input or like my sensory input, 96 00:06:22,360 --> 00:06:24,680 Speaker 1: so that like I actually am not just seeing the 97 00:06:24,760 --> 00:06:31,640 Speaker 1: same five things, like the same five rooms only, but yeah, 98 00:06:31,880 --> 00:06:35,680 Speaker 1: I will definitely uh not enjoy the extra time that's 99 00:06:35,680 --> 00:06:38,840 Speaker 1: devoted to, you know, being in traffic or whatever. I 100 00:06:38,839 --> 00:06:42,960 Speaker 1: started taking walks every morning, like and it's changed everything. 101 00:06:43,200 --> 00:06:46,080 Speaker 1: I go to the park when there's no one around, 102 00:06:46,240 --> 00:06:49,120 Speaker 1: I take my nose out of the mask and I 103 00:06:49,240 --> 00:06:58,400 Speaker 1: breathe in, get it in. Damn. Yeah, no walks for sure, 104 00:06:58,440 --> 00:07:00,279 Speaker 1: and you'd like to Jack's point of like seeing the 105 00:07:00,320 --> 00:07:03,520 Speaker 1: same four rooms every day. I'm telling you, just go 106 00:07:03,640 --> 00:07:07,560 Speaker 1: to a different supermarket, go to a different I'm serious, 107 00:07:07,640 --> 00:07:10,640 Speaker 1: Just switch one weird thing, or drive a different way 108 00:07:10,680 --> 00:07:12,720 Speaker 1: to the same place you go, or walk a different 109 00:07:12,720 --> 00:07:15,800 Speaker 1: way to your park or whatever. Like it's these like 110 00:07:15,880 --> 00:07:18,880 Speaker 1: little things you try and do to kind of optimize 111 00:07:18,880 --> 00:07:22,480 Speaker 1: the like different ways of stimulation you used to get from, 112 00:07:22,480 --> 00:07:24,880 Speaker 1: like driving and being like, hey, you motherfucker like streaming 113 00:07:24,880 --> 00:07:27,920 Speaker 1: in your car, Like we don't have that anymore. I'm 114 00:07:27,960 --> 00:07:29,960 Speaker 1: trying to make up for that by like walking down 115 00:07:29,960 --> 00:07:32,400 Speaker 1: another place that my street that my dog doesn't like 116 00:07:32,440 --> 00:07:34,640 Speaker 1: because the pit bulls always try and kill him. But 117 00:07:34,960 --> 00:07:38,120 Speaker 1: you know, I just do a silly walk in between 118 00:07:38,160 --> 00:07:40,200 Speaker 1: the same four rooms, and that's what breaks it up 119 00:07:40,240 --> 00:07:47,800 Speaker 1: for me. It's silly walk day rivers to the bathroom, 120 00:07:48,040 --> 00:07:53,000 Speaker 1: right right, right, all right, Tam, We're going to get 121 00:07:53,040 --> 00:07:54,880 Speaker 1: to know you a little bit better in a moment. First, 122 00:07:54,880 --> 00:07:57,160 Speaker 1: we're gonna tell our listeners a couple of the things 123 00:07:57,200 --> 00:08:00,560 Speaker 1: that we're talking about. Uh, we're gonna to talk about 124 00:08:00,640 --> 00:08:05,880 Speaker 1: this Greg Abbott, motherfucker. Uh. Just I don't want to 125 00:08:05,920 --> 00:08:08,040 Speaker 1: ever have to say his name again, but I guess 126 00:08:08,440 --> 00:08:12,800 Speaker 1: we have to. We're gonna talk about the relief Bill 127 00:08:13,160 --> 00:08:15,440 Speaker 1: and some of the things, some of the allowances that 128 00:08:15,480 --> 00:08:19,160 Speaker 1: are being made, Uh that are pretty cool. Uh. And 129 00:08:19,280 --> 00:08:22,160 Speaker 1: I also want to talk about how the mainstream media. 130 00:08:22,320 --> 00:08:26,760 Speaker 1: I checked out MSN dot com today, guys, Uh, and 131 00:08:27,040 --> 00:08:32,120 Speaker 1: it is uh, it's wild. They're they're doing the holding 132 00:08:32,200 --> 00:08:38,080 Speaker 1: Biden to a standard of bipartisanship. Uh. That is pretty 133 00:08:38,080 --> 00:08:43,120 Speaker 1: startling and uh seems disingenuous at best. We'll talk about Cuomo, 134 00:08:43,240 --> 00:08:48,720 Speaker 1: We'll talk about Philly, We'll talk about the new postal trucks, 135 00:08:48,760 --> 00:08:52,800 Speaker 1: maybe some zombies, all of that plenty more. But first 136 00:08:53,120 --> 00:08:56,680 Speaker 1: we like to ask our guest, what is something from 137 00:08:56,720 --> 00:09:01,599 Speaker 1: your search history that is revealing about who you are? Um? 138 00:09:01,640 --> 00:09:04,120 Speaker 1: This one made me crack up because it was from 139 00:09:04,200 --> 00:09:06,320 Speaker 1: last night and I don't remember it because I got 140 00:09:06,400 --> 00:09:14,160 Speaker 1: super drunk. I googled mole cancer and I'm because I 141 00:09:14,200 --> 00:09:16,240 Speaker 1: have this mole right here and I used to not 142 00:09:16,360 --> 00:09:19,640 Speaker 1: have it. But it's like, what was I thinking? Was 143 00:09:19,720 --> 00:09:22,200 Speaker 1: it going to give me like a search on my 144 00:09:25,440 --> 00:09:27,000 Speaker 1: like a website over They're like, well, let me see, 145 00:09:27,080 --> 00:09:32,920 Speaker 1: let me see, just not even like do moles like 146 00:09:33,040 --> 00:09:37,160 Speaker 1: can they have answer, Yeah, that was I guess I 147 00:09:37,240 --> 00:09:42,400 Speaker 1: black out and I, uh yeah. Or maybe you saw 148 00:09:42,440 --> 00:09:45,439 Speaker 1: something about a mole the animal and heard about you know, 149 00:09:45,880 --> 00:09:49,640 Speaker 1: the cancer like cancer hidden moles, and you're like, oh god, 150 00:09:49,760 --> 00:09:51,720 Speaker 1: is there a foundation? Who what are we doing about 151 00:09:51,800 --> 00:09:55,280 Speaker 1: mole cancer? Oh my god? Wait? And I have to 152 00:09:55,320 --> 00:10:00,920 Speaker 1: tell you the one before that is an anaconductor old up, 153 00:10:01,000 --> 00:10:06,600 Speaker 1: because I was this one that you're also finding out 154 00:10:06,600 --> 00:10:09,679 Speaker 1: about this morning, or you know this one was. I 155 00:10:09,760 --> 00:10:13,480 Speaker 1: remember it because I wanted to. I took a crap 156 00:10:13,559 --> 00:10:18,720 Speaker 1: that looked like like an anaconda that was, you know, curly. 157 00:10:19,679 --> 00:10:21,880 Speaker 1: I wanted to send my friend a picture of the 158 00:10:21,960 --> 00:10:24,680 Speaker 1: crap and I wasn't gonna do that because that's gross. 159 00:10:25,440 --> 00:10:29,040 Speaker 1: Instead I sent him a picture of an anaconda. That's 160 00:10:29,080 --> 00:10:35,640 Speaker 1: gross picture I have. I have one friend who I 161 00:10:35,679 --> 00:10:41,040 Speaker 1: won't name who. He's shameless with the turd picks, but 162 00:10:41,120 --> 00:10:43,560 Speaker 1: it's always like a bit where he's like, oh, man, 163 00:10:43,840 --> 00:10:46,920 Speaker 1: do you you got any you know anybody that's a plumber, 164 00:10:47,400 --> 00:10:48,959 Speaker 1: And I'm like, well, what the folks going on? And 165 00:10:49,000 --> 00:10:51,319 Speaker 1: then hit me with like the wild ship pick or 166 00:10:51,440 --> 00:10:55,040 Speaker 1: be like oh dude, I just you know, just it's 167 00:10:55,040 --> 00:10:58,800 Speaker 1: always some stupid set up and then the worst ship pick. 168 00:11:00,280 --> 00:11:03,800 Speaker 1: But I always laugh and so it'll never stop. But 169 00:11:03,840 --> 00:11:05,880 Speaker 1: I'm always like, yeah, I didn't need to see this, 170 00:11:06,000 --> 00:11:08,079 Speaker 1: or like sometimes I get the text and them around 171 00:11:08,120 --> 00:11:10,280 Speaker 1: people who don't know me, and they'll be like, Yo, 172 00:11:10,320 --> 00:11:17,240 Speaker 1: this motherfucker looking a straight ship picks. But yeah, dangerous game. 173 00:11:17,920 --> 00:11:20,679 Speaker 1: I had a long time ago when I worked at 174 00:11:20,679 --> 00:11:24,079 Speaker 1: the hospital, I sent my boss a picture by mistake, 175 00:11:27,559 --> 00:11:34,079 Speaker 1: like the tiniest turn. That's actually yeah, usually people send 176 00:11:34,360 --> 00:11:38,640 Speaker 1: like big ones, but like the tiniest is pretty just 177 00:11:38,679 --> 00:11:42,679 Speaker 1: like a little speck, like a little pebble, Yeah, like 178 00:11:42,720 --> 00:11:47,080 Speaker 1: a little rabbit poop. Yeah, yeah, that's whimsical. You know what. 179 00:11:47,080 --> 00:11:53,720 Speaker 1: I like, what you're saying is fucking coiled anacondo. Like 180 00:11:53,920 --> 00:11:57,680 Speaker 1: that's like I couldn't do that, Like I couldn't get 181 00:11:57,720 --> 00:12:03,040 Speaker 1: to that level of taking a huge, huge pick. Yeah. Well. 182 00:12:03,080 --> 00:12:05,480 Speaker 1: The other thing is like in poop taking culture, it's 183 00:12:05,520 --> 00:12:08,160 Speaker 1: like you gotta take the photo before you wipe, you 184 00:12:08,200 --> 00:12:09,680 Speaker 1: know what I mean, because you don't want to sully 185 00:12:09,800 --> 00:12:12,480 Speaker 1: the frame with the toilet paper. There's a lot of 186 00:12:12,520 --> 00:12:15,880 Speaker 1: things you have to think of in ship pick sending culture. 187 00:12:16,440 --> 00:12:19,880 Speaker 1: I didn't think about that nut's so true and you 188 00:12:19,920 --> 00:12:22,480 Speaker 1: can't you can't cover it up with toilet paper or 189 00:12:22,520 --> 00:12:24,640 Speaker 1: it's like yeah, yeah, you don't want to or you 190 00:12:24,640 --> 00:12:27,400 Speaker 1: don't want to see used for whatever. And my I've 191 00:12:27,440 --> 00:12:29,200 Speaker 1: done this before because I'm like, oh, he wants to 192 00:12:29,200 --> 00:12:32,600 Speaker 1: battle with ship picks, I got some for him. Get ready? 193 00:12:32,720 --> 00:12:35,560 Speaker 1: You thought I was John Voden anacondom but to hit 194 00:12:35,640 --> 00:12:38,560 Speaker 1: you with this pick. But the I really have those 195 00:12:38,559 --> 00:12:40,960 Speaker 1: moments like, oh, yeah, that's too gross to see the 196 00:12:41,120 --> 00:12:45,600 Speaker 1: used paper versus the actual extra forgetting right, that's true, 197 00:12:45,840 --> 00:12:50,840 Speaker 1: that that seems grosser somehow, even though that ship's excrement 198 00:12:50,920 --> 00:12:56,120 Speaker 1: photo um, excrement on paper though, Oh no, that's that 199 00:12:56,200 --> 00:12:59,680 Speaker 1: evokes too many things like what's wrong with us? It 200 00:12:59,760 --> 00:13:03,000 Speaker 1: makes sit real? Yeah right, right right, versus like something 201 00:13:03,000 --> 00:13:14,480 Speaker 1: that was potentially an illustration subconscious Uh well that's what 202 00:13:15,160 --> 00:13:18,319 Speaker 1: that's what's happening anyway. Shift photographer's phone in, do you 203 00:13:18,559 --> 00:13:21,040 Speaker 1: sully the frame? How do you compose your poop picks? 204 00:13:21,080 --> 00:13:23,760 Speaker 1: Because I look, I just know, like for dudes, it's 205 00:13:23,800 --> 00:13:26,120 Speaker 1: just a stupid thing we have. As I I've talked 206 00:13:26,120 --> 00:13:28,680 Speaker 1: about this before as a kid, like when I was 207 00:13:28,760 --> 00:13:31,640 Speaker 1: six on Christmas, my dad got a cam quarter. The 208 00:13:31,720 --> 00:13:34,520 Speaker 1: first video clip that's on there is me filming myself 209 00:13:34,520 --> 00:13:40,120 Speaker 1: taking a ship and like other anecdotally my friends who 210 00:13:40,120 --> 00:13:42,640 Speaker 1: have young sons, like they one of one was like 211 00:13:42,720 --> 00:13:45,520 Speaker 1: potty training out of and like their friends, their other 212 00:13:45,600 --> 00:13:47,200 Speaker 1: little friend was over and the friends like, oh, I 213 00:13:47,200 --> 00:13:49,319 Speaker 1: want to watch him take a poop, and he was 214 00:13:49,360 --> 00:13:50,960 Speaker 1: just like all up in and being like, oh so 215 00:13:51,040 --> 00:13:53,600 Speaker 1: that's how you poohing the thing, huh. And they're like three, 216 00:13:53,960 --> 00:13:55,760 Speaker 1: but I'm like, yeah, there's something about this, you know. 217 00:13:55,840 --> 00:13:59,880 Speaker 1: I'm we're onto something as people. Yeah, my four year 218 00:14:00,040 --> 00:14:04,600 Speaker 1: old is like it takes six seven flushes to get 219 00:14:04,720 --> 00:14:08,920 Speaker 1: his poops down because he's like so far up on 220 00:14:08,960 --> 00:14:11,600 Speaker 1: the seat that it's just like in the front, it's 221 00:14:11,640 --> 00:14:15,000 Speaker 1: just a pile on the front. It doesn't on the front. Yeah, 222 00:14:15,120 --> 00:14:21,560 Speaker 1: pile up front, Yeah, front piler, Yeah, front loader. I've 223 00:14:21,600 --> 00:14:26,960 Speaker 1: been doing a lot of front piling during cold yeah front. 224 00:14:27,040 --> 00:14:30,240 Speaker 1: But the ones that just ye sit yeah, just hit 225 00:14:30,280 --> 00:14:36,440 Speaker 1: the yeah. Um, you look like a gravel mill coming 226 00:14:36,480 --> 00:14:47,560 Speaker 1: off the belt, piling up all right, our our listeners. 227 00:14:47,560 --> 00:14:53,000 Speaker 1: Since the Blippy episode, we spent like a half hour 228 00:14:53,080 --> 00:14:56,760 Speaker 1: talking about Blippy shipping on his friend's chest and his 229 00:14:56,880 --> 00:15:02,160 Speaker 1: ass on his naked ass. That's his naked as right, uh, 230 00:15:02,440 --> 00:15:07,080 Speaker 1: written in an article BuzzFeed. Shout out to BuzzFeed, Uh, tam, 231 00:15:07,160 --> 00:15:11,680 Speaker 1: what is something you think is overrated? Overrated linen sheets? 232 00:15:12,320 --> 00:15:15,320 Speaker 1: You know how they're in style now or whatever, like 233 00:15:15,520 --> 00:15:18,600 Speaker 1: organic linen sheets that cost so much Like I got 234 00:15:18,600 --> 00:15:24,280 Speaker 1: apparent they gave me a chappy ass. Yeah really yeah 235 00:15:24,600 --> 00:15:28,960 Speaker 1: kind of yeah linen I mean person, I like it 236 00:15:29,000 --> 00:15:31,160 Speaker 1: in the so I've had it in the summer. Yeah. 237 00:15:31,200 --> 00:15:33,760 Speaker 1: Shout out to my friend who allowed me to sample 238 00:15:34,400 --> 00:15:37,360 Speaker 1: uh some sheets and sample, I just mean gave me 239 00:15:37,440 --> 00:15:40,400 Speaker 1: a pair that there sheets set that wasn't being used, 240 00:15:40,760 --> 00:15:43,440 Speaker 1: but it felt the first time was cool. I think 241 00:15:43,440 --> 00:15:46,520 Speaker 1: just because it's so different than like the really smooth 242 00:15:47,000 --> 00:15:49,120 Speaker 1: sheets were used to So that little bit of texture 243 00:15:49,120 --> 00:15:52,000 Speaker 1: I think in the beginning is cool, but it's not 244 00:15:52,040 --> 00:15:54,440 Speaker 1: as it's not as cool, Like I feel like it's 245 00:15:54,480 --> 00:15:57,200 Speaker 1: not as cool it people describe it as cool, but 246 00:15:57,240 --> 00:16:01,160 Speaker 1: like because it's rough because there's texture there, don't get that. Like, 247 00:16:02,400 --> 00:16:03,960 Speaker 1: but I think you and I are the shame Jack. 248 00:16:04,000 --> 00:16:06,280 Speaker 1: We run hot, So I don't know what. I don't 249 00:16:06,320 --> 00:16:10,440 Speaker 1: know what we could have covering up actress that wouldn't 250 00:16:10,440 --> 00:16:13,400 Speaker 1: make me like this ship is too hot, right, yeah, 251 00:16:13,720 --> 00:16:16,360 Speaker 1: I just need absorb it because I'm sweating through that ship. 252 00:16:22,240 --> 00:16:25,960 Speaker 1: What well, you know now I'm thinking about it after 253 00:16:26,000 --> 00:16:29,320 Speaker 1: the story you told mine weren't good quality. Mine were 254 00:16:29,360 --> 00:16:32,400 Speaker 1: from targets, so I think mine were just like fake 255 00:16:32,560 --> 00:16:34,840 Speaker 1: linen and that's why they gave me a chappy ass. 256 00:16:36,400 --> 00:16:38,680 Speaker 1: Do you like before this? Did you ever like the 257 00:16:38,840 --> 00:16:43,280 Speaker 1: synthetic like like those you know, straight up polyester, like 258 00:16:43,280 --> 00:16:46,640 Speaker 1: those synthetic ones that were like ridiculously soft but like 259 00:16:46,840 --> 00:16:53,880 Speaker 1: so plastic that if you kind of yeah, yeah, I 260 00:16:53,920 --> 00:16:56,080 Speaker 1: do you they come out of the sides and they 261 00:16:56,160 --> 00:16:58,520 Speaker 1: piss me off. Oh yeah, well, I mean I don't. 262 00:16:58,520 --> 00:17:01,000 Speaker 1: I think it's just like a Actually, now that I 263 00:17:01,040 --> 00:17:05,000 Speaker 1: think about it, I have the same set micro fiber Yes, 264 00:17:05,280 --> 00:17:08,919 Speaker 1: thank you to Bruto Shanajosi. A microfiber or like like 265 00:17:09,000 --> 00:17:15,760 Speaker 1: a shame that we clean the monitors with. Um No, 266 00:17:16,000 --> 00:17:17,439 Speaker 1: but I think I had, you know what it is 267 00:17:17,480 --> 00:17:20,520 Speaker 1: I have. I've had the same ship. I can't say 268 00:17:20,640 --> 00:17:25,000 Speaker 1: sheet set sheets said since like my college years, and 269 00:17:25,040 --> 00:17:27,280 Speaker 1: I remember her majesty would't allow me to buy a 270 00:17:27,280 --> 00:17:29,720 Speaker 1: newer version because like you already got your cheap ass, 271 00:17:30,720 --> 00:17:34,399 Speaker 1: Like what are the T shirt kind? They're like but 272 00:17:34,440 --> 00:17:37,320 Speaker 1: like they're I mean in between like that one and 273 00:17:37,359 --> 00:17:42,879 Speaker 1: like yeah, but like micro jersey you know what I mean. Yeah, no, 274 00:17:42,960 --> 00:17:44,600 Speaker 1: it's like a T shirt. It's like they made my 275 00:17:44,640 --> 00:17:48,359 Speaker 1: sheets up a T shirt. Dude, It's amazing. But it's 276 00:17:48,359 --> 00:17:52,760 Speaker 1: also like what you'd wear anyway. I love those, you know, 277 00:17:53,280 --> 00:17:57,800 Speaker 1: like actually that those might be my favorite, those jersey 278 00:17:58,080 --> 00:18:02,679 Speaker 1: cotton sheets that are I mean, what's I mean at 279 00:18:02,680 --> 00:18:04,760 Speaker 1: at the end of the day, what's good or what's bad? 280 00:18:05,240 --> 00:18:07,159 Speaker 1: You know, Like it's all about what we want on 281 00:18:07,160 --> 00:18:09,400 Speaker 1: our skin. So if you want to if you want 282 00:18:09,400 --> 00:18:12,160 Speaker 1: the if you want the pile of gauze to absorb 283 00:18:12,240 --> 00:18:14,800 Speaker 1: your sweat and do that. There he is making me 284 00:18:14,840 --> 00:18:21,880 Speaker 1: feel better again. On the same page, I mean an 285 00:18:21,880 --> 00:18:28,720 Speaker 1: imposter syndrome, Like they they have all these like microfibers 286 00:18:28,800 --> 00:18:34,600 Speaker 1: and like you know, uh, human created like Polly blends 287 00:18:34,640 --> 00:18:36,920 Speaker 1: and ship that it like will make it so if 288 00:18:36,920 --> 00:18:39,160 Speaker 1: you spell water on your sheets, like the water will 289 00:18:39,200 --> 00:18:41,840 Speaker 1: just like fall right off and ship. But like I 290 00:18:41,880 --> 00:18:44,679 Speaker 1: feel like I feel like there's a direction they can go, 291 00:18:45,480 --> 00:18:48,800 Speaker 1: Like the combination of you know, we need to we 292 00:18:48,840 --> 00:18:51,840 Speaker 1: need to Steve jobs of sheets, who can like just 293 00:18:51,880 --> 00:18:55,879 Speaker 1: come up with the coolest, most comfortable sheet, Like I 294 00:18:56,280 --> 00:18:59,160 Speaker 1: feel like we're leaving it up to scientists and all 295 00:18:59,200 --> 00:19:02,840 Speaker 1: they can do is be like, look, it doesn't absorb water, 296 00:19:03,000 --> 00:19:05,280 Speaker 1: but like they're not they don't bring the human aspect. 297 00:19:05,400 --> 00:19:08,840 Speaker 1: We and somebody who is, uh, who's gonna figure out 298 00:19:08,880 --> 00:19:14,480 Speaker 1: the best, the coolest, the softest sheets possible. I love 299 00:19:14,560 --> 00:19:19,439 Speaker 1: the idea of the water slipping like not being absorbed, Like, 300 00:19:19,720 --> 00:19:23,800 Speaker 1: then come wouldn't be absorbed either, right, You just have 301 00:19:24,200 --> 00:19:26,840 Speaker 1: pebbles of come sitting on your sheets until you wipe 302 00:19:26,840 --> 00:19:32,000 Speaker 1: it off, beating everywhere the sheets in different places because 303 00:19:32,920 --> 00:19:37,120 Speaker 1: it's so hydrophobic. I'm always getting mad at my husband 304 00:19:37,200 --> 00:19:41,880 Speaker 1: for for like staining our would come and that would 305 00:19:41,920 --> 00:19:44,440 Speaker 1: really solve the marital We should just say it. Well, 306 00:19:44,480 --> 00:19:46,680 Speaker 1: if not, then it's going to be back on top 307 00:19:46,720 --> 00:19:50,480 Speaker 1: of garbage bags like it used to be. If you 308 00:19:50,520 --> 00:19:57,359 Speaker 1: can't funk like an adult, we're working on those black 309 00:19:57,400 --> 00:20:05,480 Speaker 1: construction bags, okay. Uh? And what is something you think 310 00:20:05,600 --> 00:20:11,640 Speaker 1: is underrated? Looking like ship is underrated? Like what's up 311 00:20:11,720 --> 00:20:15,160 Speaker 1: with like on Instagram? Like all these things to make 312 00:20:15,240 --> 00:20:18,360 Speaker 1: you look better and stuff like I had a week 313 00:20:18,720 --> 00:20:23,160 Speaker 1: last week of looking like ship and I was so 314 00:20:23,320 --> 00:20:31,199 Speaker 1: fucking happy and giggly and it was like looking at 315 00:20:31,240 --> 00:20:43,360 Speaker 1: the like today I have. I just got this haircut 316 00:20:43,400 --> 00:20:45,800 Speaker 1: which is kind of a mullet, which is cool when 317 00:20:45,880 --> 00:20:49,159 Speaker 1: I like, you know, it looks good punk I like, 318 00:20:49,960 --> 00:20:53,080 Speaker 1: but if I don't put product and stuff, it justs 319 00:20:53,240 --> 00:20:56,520 Speaker 1: straight up I look like Eileen Warns type, you know, 320 00:20:56,680 --> 00:21:03,840 Speaker 1: like again, oh man, please she Charlie's there and played her. 321 00:21:06,359 --> 00:21:11,320 Speaker 1: She looks a disaster. Give me the Yeah. I looked 322 00:21:11,320 --> 00:21:13,480 Speaker 1: like that for an entire week. And that was my 323 00:21:13,520 --> 00:21:16,000 Speaker 1: giggly week. And my husband was like, yeah, you know, 324 00:21:16,520 --> 00:21:21,480 Speaker 1: you don't like you're not trying, but but you're happy. 325 00:21:22,560 --> 00:21:27,280 Speaker 1: You can't look at you but but it was great. 326 00:21:27,359 --> 00:21:30,240 Speaker 1: It was my favorite week in a long time. Yeah. 327 00:21:31,440 --> 00:21:34,239 Speaker 1: It's empowering. That's why I think. Yeah, I mean, I 328 00:21:34,240 --> 00:21:38,320 Speaker 1: feel like I'm hoping that there's something about fashion that 329 00:21:38,400 --> 00:21:41,879 Speaker 1: changes as a result of us like taking you know, 330 00:21:42,080 --> 00:21:45,360 Speaker 1: a year plus of not having to dress to impress 331 00:21:46,080 --> 00:21:48,440 Speaker 1: that like if there's another like a movement that comes 332 00:21:48,440 --> 00:21:54,360 Speaker 1: out of it called like shit wave, Like I mean 333 00:21:54,400 --> 00:21:57,239 Speaker 1: that's what norm core is, isn't it. Like that's when 334 00:21:57,280 --> 00:21:59,560 Speaker 1: I went to Berlin. It was like people try to 335 00:21:59,640 --> 00:22:02,840 Speaker 1: look ship. Yeah, but now I think it's gonna be 336 00:22:02,880 --> 00:22:05,359 Speaker 1: like it's more it's like jazz baby, like there's no 337 00:22:05,520 --> 00:22:07,320 Speaker 1: rhyme or reason to it, Like you gotta come out 338 00:22:07,440 --> 00:22:16,160 Speaker 1: just feeling playing your own first. Yeah, a comforter around exactly, Yeah, 339 00:22:16,400 --> 00:22:19,000 Speaker 1: just wrapped around your head, or like if it's raining, 340 00:22:19,000 --> 00:22:21,920 Speaker 1: you wear one of those translucent like bags your sheet 341 00:22:21,960 --> 00:22:24,800 Speaker 1: sets come in just on top of your head, like umbrella. 342 00:22:24,920 --> 00:22:27,320 Speaker 1: You're like, oh man, look at that ship wave umbrella 343 00:22:27,400 --> 00:22:36,119 Speaker 1: you got. I love you guys. I mean, are people 344 00:22:36,400 --> 00:22:39,320 Speaker 1: Are people going to be wearing like uncomfortable clothes again? 345 00:22:39,440 --> 00:22:44,760 Speaker 1: I can't imagine like wearing a like I mean, I 346 00:22:44,760 --> 00:22:47,080 Speaker 1: guess there's still people who are wearing suits to work 347 00:22:47,119 --> 00:22:51,359 Speaker 1: and ship right now, which is yeah, who wears I 348 00:22:51,359 --> 00:22:54,159 Speaker 1: don't know. I mean is there I mean, personally, is 349 00:22:54,200 --> 00:22:56,800 Speaker 1: there anything that you've looked at your own clothing said, 350 00:22:56,920 --> 00:22:59,560 Speaker 1: you know what now that through this pandemic, I'm never 351 00:22:59,600 --> 00:23:03,560 Speaker 1: wearing that again. I don't think I have I dressed 352 00:23:03,560 --> 00:23:06,080 Speaker 1: so I dressed so comfortably. In general, it's more like 353 00:23:06,359 --> 00:23:09,479 Speaker 1: I'm only going to wear like these three hoodies now forever, 354 00:23:10,680 --> 00:23:15,640 Speaker 1: not the not the scratchy hoodie exactly. Not long ago, 355 00:23:15,680 --> 00:23:17,760 Speaker 1: it was my sister's birthday, and I don't know what 356 00:23:18,000 --> 00:23:21,160 Speaker 1: happened to me, but I bought her this like vinyl 357 00:23:22,280 --> 00:23:26,880 Speaker 1: dress and she opened it. I saw it in her 358 00:23:26,920 --> 00:23:29,920 Speaker 1: face and I said, why the fund did I buy? 359 00:23:30,920 --> 00:23:36,960 Speaker 1: We just all started. I was like, you're never gonna 360 00:23:37,000 --> 00:23:45,800 Speaker 1: wear that? And she was like never, like lateext and 361 00:23:45,880 --> 00:23:48,520 Speaker 1: the worst. I also fought her to wear with the 362 00:23:48,600 --> 00:23:56,199 Speaker 1: late text dress this like heavy gold chain. You just 363 00:23:56,240 --> 00:23:59,200 Speaker 1: have a very specific vision for your sister, that ship. 364 00:24:00,359 --> 00:24:04,879 Speaker 1: She hasn't quite realized for herself yet. But like I 365 00:24:04,920 --> 00:24:09,080 Speaker 1: feel that like when you're giving a gift, like it's 366 00:24:09,119 --> 00:24:12,159 Speaker 1: like watching a movie that you recommended with someone you 367 00:24:12,200 --> 00:24:17,199 Speaker 1: can't fully appreciate, Like like you you start feeling like 368 00:24:17,280 --> 00:24:19,960 Speaker 1: insecure about it, and like that's when you really have 369 00:24:20,040 --> 00:24:22,320 Speaker 1: an idea of it. Like I feel like a gift, 370 00:24:22,560 --> 00:24:26,600 Speaker 1: I don't fully like understand how good or bad the 371 00:24:26,640 --> 00:24:29,240 Speaker 1: gift is until the person is about to open it, 372 00:24:29,280 --> 00:24:35,800 Speaker 1: and then I'm like, ship, they're gonna hate this. Just 373 00:24:35,960 --> 00:24:38,679 Speaker 1: so nervous too, or like you're kind of putting it 374 00:24:38,720 --> 00:24:47,480 Speaker 1: together at the zero hour. Actually not that, uh oh man. 375 00:24:47,600 --> 00:24:49,520 Speaker 1: That to your gift. Yeah, yeah, actually, don't open it. 376 00:24:49,520 --> 00:24:52,720 Speaker 1: Don't open it. No, it's it's so true though. I 377 00:24:52,760 --> 00:24:55,120 Speaker 1: got my friend, we had a gift exchange for Christmas, 378 00:24:55,119 --> 00:24:58,240 Speaker 1: and I got him a set of Fraggle Rock stuff 379 00:24:58,320 --> 00:25:02,000 Speaker 1: d animals. I mean, that's how it does. But it's 380 00:25:02,040 --> 00:25:04,399 Speaker 1: like he just moved into a new, nice apartment and 381 00:25:04,440 --> 00:25:11,520 Speaker 1: they're like large, and it was all the battle. You're 382 00:25:11,520 --> 00:25:15,439 Speaker 1: gonna need a room for this. You're gonna need a 383 00:25:15,520 --> 00:25:23,119 Speaker 1: fraggle room. That's amazing. They're bringing Fraggle Rock back for 384 00:25:23,440 --> 00:25:28,280 Speaker 1: I think HBO exciting times. I'm into it, not into reboots, 385 00:25:28,320 --> 00:25:30,720 Speaker 1: but this one I think they're going to do right. Yeah. 386 00:25:31,040 --> 00:25:33,359 Speaker 1: I think when they like bring the Muppets back or 387 00:25:33,400 --> 00:25:42,480 Speaker 1: the Fraggles or like, it's usually fine. Yeah, yeah, yeah, 388 00:25:42,600 --> 00:25:48,520 Speaker 1: we're prog over all. Right, let's take a quick break 389 00:25:48,520 --> 00:25:50,600 Speaker 1: and then we'll come back and talk about some bullshit. 390 00:26:01,000 --> 00:26:05,720 Speaker 1: And we're back and Greg Abbott is back in the news. 391 00:26:06,680 --> 00:26:10,479 Speaker 1: The numbers in Texas we're going down, but they were 392 00:26:10,560 --> 00:26:14,639 Speaker 1: not good. Uh and still higher than national averages. But 393 00:26:14,800 --> 00:26:18,920 Speaker 1: he's like, not, we're taking the masks away. Uh. And 394 00:26:19,760 --> 00:26:24,479 Speaker 1: now he's got an excuse for He's like preceding uh, 395 00:26:24,680 --> 00:26:29,040 Speaker 1: an excuse for why the numbers are about to go up. Yeah, exactly. 396 00:26:29,119 --> 00:26:31,399 Speaker 1: I mean every expert has pointed out to It's like, 397 00:26:31,480 --> 00:26:35,800 Speaker 1: you know, Governor Abbott, every time you've relaxed mandates, cases 398 00:26:36,119 --> 00:26:40,520 Speaker 1: spiked without fail. It's like it's almost like the mandates 399 00:26:40,600 --> 00:26:44,080 Speaker 1: helped keep the numbers down because of science. And when 400 00:26:44,119 --> 00:26:47,119 Speaker 1: you we're forget it, we're explaining too much to him anyway. 401 00:26:47,440 --> 00:26:50,720 Speaker 1: So you know, I think one can only imagine what 402 00:26:51,000 --> 00:26:53,880 Speaker 1: potentially hospitals could look like in a few weeks as 403 00:26:53,920 --> 00:26:56,480 Speaker 1: people start like I've seen photos people already mask off 404 00:26:56,560 --> 00:27:01,280 Speaker 1: bar hopping uh and it's an interesting site. Um. But again, 405 00:27:01,600 --> 00:27:06,280 Speaker 1: before before the blame could get to him for his decision, 406 00:27:06,960 --> 00:27:10,760 Speaker 1: the real culprit is here we go. Quote. The Biden 407 00:27:10,760 --> 00:27:15,280 Speaker 1: administration has been releasing immigrants in South Texas that have 408 00:27:15,440 --> 00:27:20,280 Speaker 1: been exposing Texans to COVID. Some of these people him, 409 00:27:20,720 --> 00:27:24,440 Speaker 1: that's a quote from him. Some of these people have 410 00:27:24,560 --> 00:27:28,119 Speaker 1: been put on busses taking that COVID to other states 411 00:27:28,160 --> 00:27:31,920 Speaker 1: in the United States. That is Neanderthal type approach to 412 00:27:32,080 --> 00:27:38,399 Speaker 1: dealing with the COVID situation. End quote. So racism is 413 00:27:38,520 --> 00:27:41,120 Speaker 1: the defense again because they just want to go full 414 00:27:41,560 --> 00:27:45,080 Speaker 1: you know, it's the literal Nazi finger pointing and that 415 00:27:45,240 --> 00:27:49,399 Speaker 1: like it's the sick outsiders who are trying to sully 416 00:27:49,480 --> 00:27:53,000 Speaker 1: our good state and nation and not because you know 417 00:27:53,320 --> 00:27:57,080 Speaker 1: he's the governor. Um. One other interesting thing about that 418 00:27:57,520 --> 00:27:59,480 Speaker 1: for all that talk about immigrants, First of all, the 419 00:28:00,000 --> 00:28:03,359 Speaker 1: auction rates are even lower for groups of migrants that 420 00:28:03,440 --> 00:28:05,880 Speaker 1: they've released and have been testing because n g os 421 00:28:05,880 --> 00:28:08,000 Speaker 1: have been testing. Because here's the other thing. There has 422 00:28:08,080 --> 00:28:12,320 Speaker 1: been uh DHS federal money that was earmarked for Texas 423 00:28:12,480 --> 00:28:17,200 Speaker 1: to conducts testing on migrants because of that's just COVID protocol. 424 00:28:17,640 --> 00:28:19,800 Speaker 1: The thing is when he says, oh, they've just been 425 00:28:19,840 --> 00:28:23,200 Speaker 1: releasing people, what he doesn't tell you is that Governor 426 00:28:23,280 --> 00:28:26,800 Speaker 1: Abbott has refused to release the federal funds that he 427 00:28:26,960 --> 00:28:30,920 Speaker 1: has received to test migrants and just folded that into 428 00:28:31,000 --> 00:28:34,360 Speaker 1: his narrative like oh, yeah, see, like they're just they're 429 00:28:34,400 --> 00:28:36,560 Speaker 1: not testing them and then they're putting them on us 430 00:28:36,600 --> 00:28:39,680 Speaker 1: and blah blah, without saying I'm withholding the money. I'm 431 00:28:39,760 --> 00:28:41,400 Speaker 1: the one not doing this and I'm not going to 432 00:28:41,520 --> 00:28:44,200 Speaker 1: tell people either because I need this narrative to blame 433 00:28:44,920 --> 00:28:49,680 Speaker 1: others rather than the decisions of myself as governor. I 434 00:28:49,760 --> 00:28:55,520 Speaker 1: could smash something. I feel a rage of burning, fucking rage. 435 00:28:56,360 --> 00:29:00,600 Speaker 1: And one weird thing I read today is my Elmore's 436 00:29:00,640 --> 00:29:02,640 Speaker 1: tweet I don't know if you guys saw it about 437 00:29:02,760 --> 00:29:07,880 Speaker 1: this whole thing, saying withhold vaccines from Texans, all of 438 00:29:08,000 --> 00:29:11,959 Speaker 1: Texans because of this, Like so it's just like every 439 00:29:12,640 --> 00:29:16,400 Speaker 1: it's all infuriating. Yeah, people are are absolutely losing their 440 00:29:16,440 --> 00:29:20,120 Speaker 1: sense of humanity here, like on every side, because it's 441 00:29:20,160 --> 00:29:22,360 Speaker 1: like on one people are like not knowing how to 442 00:29:22,440 --> 00:29:26,200 Speaker 1: process their ship depending on your idea ideological bed. And 443 00:29:26,280 --> 00:29:31,120 Speaker 1: now it's like, well this guy did it, every Texan punished. Um, well, no, 444 00:29:31,320 --> 00:29:33,560 Speaker 1: that's that's not that's not actually a good policy in 445 00:29:33,680 --> 00:29:37,400 Speaker 1: general to lump people together as this monolith. And on 446 00:29:37,520 --> 00:29:39,480 Speaker 1: top of it too, there's this other A lot of 447 00:29:39,600 --> 00:29:42,120 Speaker 1: the experts are pointing out that, you know, I know, 448 00:29:42,200 --> 00:29:45,280 Speaker 1: we're talking about herd immunity and vaccines are coming out, 449 00:29:45,320 --> 00:29:47,480 Speaker 1: and that's another thing that's coming like working into the 450 00:29:47,560 --> 00:29:51,560 Speaker 1: logic of reopening. But the efficacy trials, those are based 451 00:29:51,720 --> 00:29:58,960 Speaker 1: on societies, worlds where people are wearing masks, respecting social distancing. 452 00:29:59,320 --> 00:30:02,200 Speaker 1: All of those figure into how those models play out, 453 00:30:02,280 --> 00:30:04,680 Speaker 1: not oh, if you got this, let it rip. It's 454 00:30:04,720 --> 00:30:07,200 Speaker 1: like no, no, no, Those efficacy numbers are based on 455 00:30:07,480 --> 00:30:10,120 Speaker 1: other people also doing the right thing. So if you 456 00:30:10,240 --> 00:30:14,160 Speaker 1: just do this, you're not gonna see the same effectiveness 457 00:30:14,240 --> 00:30:16,840 Speaker 1: or you'll make You'll probably just because we're seeing more 458 00:30:16,960 --> 00:30:19,680 Speaker 1: cases and that allows the virus to mutate even more 459 00:30:20,520 --> 00:30:23,600 Speaker 1: people who could be vaccinated and also getting severe cases 460 00:30:23,640 --> 00:30:27,280 Speaker 1: of COVID themselves. So it's there's nothing good about any 461 00:30:27,400 --> 00:30:33,240 Speaker 1: of it. Yeah, it's a it's and its Yeah. There 462 00:30:33,360 --> 00:30:36,040 Speaker 1: was this article on the front page of MSN where 463 00:30:36,080 --> 00:30:39,440 Speaker 1: I get all my news, uh, and they just like 464 00:30:39,680 --> 00:30:44,400 Speaker 1: aggregate shipped from like USA today and this headline is 465 00:30:44,800 --> 00:30:49,200 Speaker 1: Biden COVID stimulus bill. Why relief legislation is so partisan? 466 00:30:49,680 --> 00:30:54,160 Speaker 1: Like basically asking like why aren't Republicans supporting this, Like 467 00:30:54,640 --> 00:31:01,200 Speaker 1: it's just recovering politics, like it's nineteen eighty six, and 468 00:31:01,800 --> 00:31:05,920 Speaker 1: like that the Republican Party hasn't you know, outed itself 469 00:31:06,000 --> 00:31:09,360 Speaker 1: as a complete death cult. Um. It starts from the 470 00:31:09,400 --> 00:31:13,640 Speaker 1: assumption that the Republicans have like valid reasons for objecting 471 00:31:13,720 --> 00:31:16,960 Speaker 1: to the relief bill, and like not being able to 472 00:31:17,000 --> 00:31:21,000 Speaker 1: get a single Republican vote is like based on something, 473 00:31:21,120 --> 00:31:23,920 Speaker 1: and they they're like what happened Biden like ran as 474 00:31:23,960 --> 00:31:27,200 Speaker 1: the uniter in chief, Like just the idea that you 475 00:31:27,280 --> 00:31:33,760 Speaker 1: would you would still treat like unity as a goal 476 00:31:34,040 --> 00:31:37,840 Speaker 1: with the Republican Party when they are Yeah, they're just 477 00:31:38,000 --> 00:31:41,520 Speaker 1: straight up like there's no good faith argument anymore. Yeah, 478 00:31:41,520 --> 00:31:44,520 Speaker 1: they're just being evil out in the open. There's not 479 00:31:44,640 --> 00:31:48,120 Speaker 1: one thing that they've there's not one counter proposal that 480 00:31:48,320 --> 00:31:50,720 Speaker 1: has made anybody like, oh that's an interesting way to 481 00:31:50,920 --> 00:31:53,720 Speaker 1: help people. It's all like, oh, that's a real creative 482 00:31:53,760 --> 00:31:56,240 Speaker 1: way to fuck people over. That's all it is. And 483 00:31:56,360 --> 00:31:59,000 Speaker 1: like even the way this article starts. Republican senators have 484 00:31:59,120 --> 00:32:02,280 Speaker 1: described President Biden's COVID nineteen Simius plan as a quote 485 00:32:02,440 --> 00:32:07,080 Speaker 1: clunker quote bad politics and quote wildly expensive. Like don't 486 00:32:07,720 --> 00:32:10,880 Speaker 1: take that as being like those are a good descriptions. 487 00:32:11,160 --> 00:32:14,840 Speaker 1: That's just fucking lame. Asked cover for them to say 488 00:32:15,000 --> 00:32:19,200 Speaker 1: they don't want to help fucking anyone and like like 489 00:32:19,320 --> 00:32:22,840 Speaker 1: this wonky terminology to just be like wildly expensive. How 490 00:32:22,880 --> 00:32:27,560 Speaker 1: about I'm fine, you know, knowing people with people. Yeah, 491 00:32:27,800 --> 00:32:29,560 Speaker 1: if the bill makes it through it this is a quote. 492 00:32:29,560 --> 00:32:32,400 Speaker 1: If the bill makes it through Congress with only Democratic support. 493 00:32:32,480 --> 00:32:35,320 Speaker 1: It would stand out from the COVID relief plans Congress 494 00:32:35,360 --> 00:32:40,040 Speaker 1: passed over the last year. When it's like they're using 495 00:32:40,800 --> 00:32:45,360 Speaker 1: the Republicans are using the humanity of the other side 496 00:32:45,560 --> 00:32:48,280 Speaker 1: against them as a weapon in this article is just like, 497 00:32:48,960 --> 00:32:50,960 Speaker 1: I don't know why, I don't know what's going on 498 00:32:51,160 --> 00:32:55,200 Speaker 1: with these Democrats. They can't get the Republicans on board. Yeah, 499 00:32:55,800 --> 00:32:58,280 Speaker 1: it's it's it's it's fucked up. And this is again 500 00:32:58,360 --> 00:33:01,040 Speaker 1: when if you're someone who's not as engaged with the 501 00:33:01,160 --> 00:33:03,320 Speaker 1: news and then you, let's say, you just go, oh, 502 00:33:03,440 --> 00:33:06,280 Speaker 1: what's what's this regular website I go to telling me 503 00:33:06,600 --> 00:33:09,640 Speaker 1: they're going to if you're not thinking very critically, you're 504 00:33:09,640 --> 00:33:12,640 Speaker 1: gonna be like, ah, man, they just can't get along, man, Like, 505 00:33:12,760 --> 00:33:15,440 Speaker 1: why can't the Republicans meet with their Democrats on this 506 00:33:15,560 --> 00:33:18,840 Speaker 1: and vice versa versus being like Republicans have shown themselves 507 00:33:18,880 --> 00:33:22,320 Speaker 1: to be obstructionists of all progress for decades. Now this 508 00:33:22,520 --> 00:33:26,880 Speaker 1: is part and Parcela And that's an objective observation, but 509 00:33:27,920 --> 00:33:30,160 Speaker 1: that's where things I think, because by doing that, people 510 00:33:30,200 --> 00:33:32,080 Speaker 1: like it's so partisan. Now it's like, well, I think 511 00:33:32,200 --> 00:33:34,800 Speaker 1: you've everyone's just kind of lost their ability to try 512 00:33:34,840 --> 00:33:37,360 Speaker 1: and look at is this helping or harming? And going 513 00:33:37,440 --> 00:33:39,960 Speaker 1: from their versus left or right or red or blue. 514 00:33:40,800 --> 00:33:43,920 Speaker 1: It's wild. I was reading an article about COVID and 515 00:33:44,040 --> 00:33:46,640 Speaker 1: it was like CNN or something like that, and the 516 00:33:46,880 --> 00:33:54,160 Speaker 1: title was COVID vaccines caused symptoms of breast cancer. And 517 00:33:54,280 --> 00:33:57,760 Speaker 1: it's like, that's the fucking title. So it's click bait 518 00:33:57,880 --> 00:34:00,560 Speaker 1: clearly because when you read the article goal it says 519 00:34:00,680 --> 00:34:04,360 Speaker 1: like it can. Basically it can if you get a 520 00:34:04,480 --> 00:34:08,480 Speaker 1: mamogram like right after getting a vaccine. It kind of 521 00:34:08,560 --> 00:34:11,759 Speaker 1: like replicates, but it doesn't. It's not real. It just 522 00:34:11,920 --> 00:34:16,680 Speaker 1: like replicates what you know exactly. I can't describe it well, 523 00:34:16,800 --> 00:34:19,600 Speaker 1: but it's like it wasn't true, and so a person 524 00:34:19,680 --> 00:34:22,400 Speaker 1: will just scroll through that and be like, well, I'm 525 00:34:22,440 --> 00:34:26,120 Speaker 1: not getting the vaccine, so like just for clickbait, you know. 526 00:34:26,800 --> 00:34:30,640 Speaker 1: The way this was described. And one of the ways 527 00:34:30,760 --> 00:34:34,480 Speaker 1: that like those article titles are generated is they'll like 528 00:34:34,600 --> 00:34:38,640 Speaker 1: put fifty into fifty different titles for the same article 529 00:34:39,200 --> 00:34:42,040 Speaker 1: into like an algorithm and then just see like which 530 00:34:42,080 --> 00:34:45,239 Speaker 1: one is getting the most cliques, uh, and that will 531 00:34:45,239 --> 00:34:48,480 Speaker 1: be the title that they go with. And yeah, so 532 00:34:48,840 --> 00:34:51,440 Speaker 1: that's like I see that all the time with articles 533 00:34:51,600 --> 00:34:55,600 Speaker 1: where the implication is something that's actually not in the article, 534 00:34:55,760 --> 00:35:01,240 Speaker 1: but clearly it is like the one of any article 535 00:35:01,360 --> 00:35:04,040 Speaker 1: titles that was like getting the most heat, the most 536 00:35:04,120 --> 00:35:07,000 Speaker 1: people to click on it, and so yeah, it's just 537 00:35:07,200 --> 00:35:09,759 Speaker 1: engineered to make you click. It has nothing to do 538 00:35:09,880 --> 00:35:14,680 Speaker 1: with conveying information, almost as if capitalism is a is 539 00:35:14,719 --> 00:35:20,279 Speaker 1: a bad way to organize news. Almost as I mean, 540 00:35:20,719 --> 00:35:25,760 Speaker 1: I feel like, Miles, don't you have some sort of solution? Yeah, Miles, 541 00:35:26,320 --> 00:35:29,719 Speaker 1: what I mean, Look earlier, I'm talking about whether or 542 00:35:29,760 --> 00:35:33,000 Speaker 1: not you put used toilet paper in your ship picks. Uh, 543 00:35:33,640 --> 00:35:40,960 Speaker 1: well let's start there and maybe build correct the third estate. Um, 544 00:35:41,560 --> 00:35:44,759 Speaker 1: I don't know. I mean, honestly, it's the issue is 545 00:35:44,840 --> 00:35:48,360 Speaker 1: just like we just have a real problem with the 546 00:35:49,400 --> 00:35:51,560 Speaker 1: people who are at the levers and the gates of 547 00:35:51,640 --> 00:35:54,560 Speaker 1: mainstream media are just of an elite class who are 548 00:35:54,680 --> 00:35:59,480 Speaker 1: unable to convey clearly what is happening from a perspective 549 00:35:59,520 --> 00:36:02,759 Speaker 1: that isn't just intrinsically tied with like their existence of 550 00:36:02,840 --> 00:36:05,480 Speaker 1: being elites, because it cannot it can never be too 551 00:36:05,600 --> 00:36:08,600 Speaker 1: critical or else. It's like it's like a snail, like 552 00:36:08,840 --> 00:36:11,879 Speaker 1: putting salt on themselves, you know, Like it's just it's 553 00:36:11,920 --> 00:36:14,800 Speaker 1: not gonna happen, because I think to really report the 554 00:36:14,880 --> 00:36:16,880 Speaker 1: news the way it could it could or should be 555 00:36:17,040 --> 00:36:19,720 Speaker 1: right now, because they'd have to put the magnifying glass 556 00:36:19,800 --> 00:36:23,719 Speaker 1: on themselves more. And since that isn't gonna happen, just 557 00:36:24,200 --> 00:36:26,680 Speaker 1: just keep on with business as usual and business as 558 00:36:26,800 --> 00:36:29,200 Speaker 1: usual as like, look, now we just have to cater 559 00:36:29,320 --> 00:36:32,560 Speaker 1: to two groups of consumers, consumers on the right and 560 00:36:32,640 --> 00:36:35,319 Speaker 1: consumers on the left, and then those are the two 561 00:36:35,480 --> 00:36:39,200 Speaker 1: versions of news. And yeah, it really helps no one 562 00:36:39,280 --> 00:36:41,960 Speaker 1: in the end, and it forces people to start like 563 00:36:42,239 --> 00:36:44,319 Speaker 1: searching on their own or others not to search at all, 564 00:36:44,360 --> 00:36:46,479 Speaker 1: and then just get caught into this like really lame 565 00:36:47,120 --> 00:36:49,760 Speaker 1: narrative that the mainstream media puts out where like nothing 566 00:36:49,800 --> 00:36:51,600 Speaker 1: can really change, and like you shouldn't really be that 567 00:36:51,719 --> 00:36:54,000 Speaker 1: angry too, because the tone of all these articles like 568 00:36:54,239 --> 00:36:56,520 Speaker 1: I don't know, guys, like so much partisanship rather than 569 00:36:56,600 --> 00:37:00,560 Speaker 1: like look at the violent wealth in the ality here 570 00:37:00,640 --> 00:37:03,040 Speaker 1: and ways that we could tackle this as a country, 571 00:37:03,360 --> 00:37:08,160 Speaker 1: you know, or but that's too radical. It honestly helps 572 00:37:08,239 --> 00:37:12,040 Speaker 1: to hear someone just like break it down. It helps 573 00:37:12,080 --> 00:37:16,799 Speaker 1: with my rage at least. Yeah, I feel you someone 574 00:37:16,840 --> 00:37:19,360 Speaker 1: who deals in a rage on a daily basis, like, 575 00:37:19,960 --> 00:37:22,880 Speaker 1: it's hard to keep looking at this ship and be like, 576 00:37:22,960 --> 00:37:24,959 Speaker 1: when are we going to figure it out? I wonder 577 00:37:25,080 --> 00:37:27,840 Speaker 1: people got to figure it out? But I mean the 578 00:37:28,360 --> 00:37:30,840 Speaker 1: hope that I do have is that it seems that 579 00:37:30,960 --> 00:37:35,200 Speaker 1: we're further along with the sort of class consciousness that 580 00:37:35,200 --> 00:37:37,200 Speaker 1: I didn't think was going to exist at this point. 581 00:37:37,280 --> 00:37:40,080 Speaker 1: But it's still are we at that tipping point? I mean, 582 00:37:40,120 --> 00:37:43,640 Speaker 1: I know there's good signs about like Amazon warehouses and 583 00:37:43,760 --> 00:37:46,759 Speaker 1: like the unionization efforts starting to really kind of catch 584 00:37:46,840 --> 00:37:48,879 Speaker 1: steam all over the place at our pace that even 585 00:37:48,920 --> 00:37:51,000 Speaker 1: like I was like, oh, what are we gonna do? Um? 586 00:37:51,719 --> 00:37:55,120 Speaker 1: But yeah, I don't. It's we'll see. I mean, because 587 00:37:55,520 --> 00:37:57,560 Speaker 1: if we keep having articles like this, people are gonna 588 00:37:57,560 --> 00:37:59,560 Speaker 1: go to the polls in the mid terms without any 589 00:37:59,680 --> 00:38:03,920 Speaker 1: real sense of why the why the country is the 590 00:38:04,040 --> 00:38:06,719 Speaker 1: way it is, and they're gonna be like, fucking democrats 591 00:38:07,040 --> 00:38:12,200 Speaker 1: fifted and then they're going to vote for fascists. And 592 00:38:12,280 --> 00:38:14,759 Speaker 1: I mean that's the ship that like democrats read is 593 00:38:14,840 --> 00:38:17,360 Speaker 1: the mainstream media like that. I feel like democrats in 594 00:38:17,400 --> 00:38:20,719 Speaker 1: the mainstream media are inside the same like kind of worldview. 595 00:38:20,920 --> 00:38:24,239 Speaker 1: So they are. That's like the poison that they're being 596 00:38:24,320 --> 00:38:27,560 Speaker 1: fed is like we gotta be bipartisan, we gotta like 597 00:38:27,719 --> 00:38:31,000 Speaker 1: come around and get the get the Republicans on board. 598 00:38:31,120 --> 00:38:35,320 Speaker 1: And it's just it's like watching somebody who's dad is 599 00:38:35,400 --> 00:38:38,440 Speaker 1: never going to like who's just got the most toxic 600 00:38:38,560 --> 00:38:41,520 Speaker 1: relationship with somebody and just just dying to get their approval. 601 00:38:41,560 --> 00:38:44,880 Speaker 1: It's just never never going to happen, like by design 602 00:38:45,280 --> 00:38:49,200 Speaker 1: they are withholding their approval. There is one positive little 603 00:38:49,400 --> 00:38:53,240 Speaker 1: sliver of news about the relief bill, right Stimulan Democrats 604 00:38:53,320 --> 00:38:58,520 Speaker 1: listened to something is probably yeah, and I mean like 605 00:38:59,000 --> 00:39:02,200 Speaker 1: economists just just very narrowly and I'll just because we 606 00:39:02,280 --> 00:39:04,520 Speaker 1: could go through the whole bill and cry our eyes up. 607 00:39:04,560 --> 00:39:08,000 Speaker 1: But um, the a lot of economists have been warning, hey, 608 00:39:08,440 --> 00:39:10,720 Speaker 1: if you don't add some kind of tax relief measure 609 00:39:10,760 --> 00:39:13,160 Speaker 1: to this next stimulus bill, millions of people are going 610 00:39:13,200 --> 00:39:16,080 Speaker 1: to face like a real significant tax bill for the 611 00:39:16,200 --> 00:39:20,520 Speaker 1: unemployment benefits they received in um and they're like, well, 612 00:39:20,600 --> 00:39:22,120 Speaker 1: we don't know what to do. And they're like, hold 613 00:39:22,200 --> 00:39:25,480 Speaker 1: on you, You're gonna force these people to pay taxes 614 00:39:26,040 --> 00:39:29,600 Speaker 1: on top of the like being out of the job. 615 00:39:29,719 --> 00:39:34,480 Speaker 1: Like this is ridiculous. Luckily, there's now a new provision 616 00:39:34,560 --> 00:39:37,840 Speaker 1: being added that would forgive taxes on the first ten thousand, 617 00:39:38,000 --> 00:39:43,040 Speaker 1: two hundred dollars of unemployment UM, which is better than 618 00:39:43,400 --> 00:39:45,919 Speaker 1: actually forcing people to pay taxes on it. And also 619 00:39:46,000 --> 00:39:49,280 Speaker 1: it would also keep the federal unemployment benefits at three hundred, 620 00:39:49,360 --> 00:39:51,680 Speaker 1: although most people were like, can we get four? That 621 00:39:51,760 --> 00:39:55,000 Speaker 1: doesn't seem like a lot more, and also extend the 622 00:39:55,040 --> 00:39:57,640 Speaker 1: program through October four. I think the idea with the 623 00:39:57,680 --> 00:40:01,879 Speaker 1: three hundred is again Joe Mansion's fucking dumbass, the bell 624 00:40:02,000 --> 00:40:05,320 Speaker 1: of the fucory ball is able to funk around and 625 00:40:05,400 --> 00:40:07,239 Speaker 1: be like, well, I don't don't, I'll vote for it, 626 00:40:07,320 --> 00:40:10,839 Speaker 1: and again Democrats rolling over. I guess so they can 627 00:40:10,880 --> 00:40:13,400 Speaker 1: avoid having him side with Republicans in the floor vote. 628 00:40:13,920 --> 00:40:19,440 Speaker 1: And yeah, so at least, uh, they've they've done that. 629 00:40:20,120 --> 00:40:23,280 Speaker 1: But just keep building on momentum of like, you know, Democrats, 630 00:40:23,320 --> 00:40:25,600 Speaker 1: there's a tip just keep front of mine. Help people. 631 00:40:25,760 --> 00:40:29,000 Speaker 1: That'll that's like, that'll that'll get votes. Help but no 632 00:40:29,600 --> 00:40:36,839 Speaker 1: help um never help people. Help people. Joe Manson's daughter 633 00:40:37,000 --> 00:40:40,080 Speaker 1: is the one who's like a a pharmaceutical exact right, 634 00:40:41,440 --> 00:40:49,560 Speaker 1: Oh is it him? I believe so yeah, I hate 635 00:40:49,640 --> 00:40:54,719 Speaker 1: that faced so much. Yeah, well and he's all I mean, 636 00:40:55,400 --> 00:40:59,239 Speaker 1: he himself is just an absolute scum lord as well. 637 00:40:59,440 --> 00:41:03,920 Speaker 1: Like it's he's also been he's had his own time, uh, 638 00:41:04,040 --> 00:41:06,800 Speaker 1: doing all kinds of things. But yeah, it's this is 639 00:41:07,200 --> 00:41:11,520 Speaker 1: again when we have situations where you have like like 640 00:41:11,680 --> 00:41:15,680 Speaker 1: these Dino type senators who are yeah Democrats, like when 641 00:41:15,760 --> 00:41:19,080 Speaker 1: you're filling out your application, but like what you're again, 642 00:41:19,160 --> 00:41:22,360 Speaker 1: you're voting with Republicans on this because he wants to 643 00:41:22,360 --> 00:41:26,160 Speaker 1: stay in office, and that's just what it is. So yeah, 644 00:41:26,280 --> 00:41:30,360 Speaker 1: she is the CEO of Netherlands based pharmaceutical company Mylon. 645 00:41:31,080 --> 00:41:34,280 Speaker 1: This is just something that I in reading about Michael Tubbs, 646 00:41:34,480 --> 00:41:40,320 Speaker 1: the mayor of Stockton who got the universal basic income 647 00:41:41,360 --> 00:41:46,200 Speaker 1: experiment passed through and then lost his reelection even though 648 00:41:46,280 --> 00:41:51,120 Speaker 1: he like should have wanted easily. It was just very frustrating. 649 00:41:51,280 --> 00:41:55,960 Speaker 1: Like it's it's like anybody who is in power as 650 00:41:56,000 --> 00:41:59,320 Speaker 1: a Democrat, like they have like he went Michael Tubbs 651 00:41:59,360 --> 00:42:02,960 Speaker 1: went to stand Ford and uh is like good friends 652 00:42:03,040 --> 00:42:07,000 Speaker 1: with all these tech CEOs and like Joe Manchin's daughter 653 00:42:07,200 --> 00:42:09,080 Speaker 1: is like a ceo. I just feel like there's this 654 00:42:09,960 --> 00:42:13,320 Speaker 1: way that all the people in power. For the Democrats 655 00:42:13,360 --> 00:42:16,800 Speaker 1: are insulated from the people, you know, they just have 656 00:42:17,080 --> 00:42:22,000 Speaker 1: that Joe Biden happens to become the nominee and he's 657 00:42:22,040 --> 00:42:25,960 Speaker 1: like the credit card company's favorite politician of all times. 658 00:42:26,120 --> 00:42:30,320 Speaker 1: Just like um that I think that that seems to 659 00:42:30,400 --> 00:42:32,920 Speaker 1: be just like the way that, like when we talk 660 00:42:32,960 --> 00:42:37,439 Speaker 1: about capitalism being an ai that protects itself, I feel 661 00:42:37,480 --> 00:42:40,800 Speaker 1: like that's one of the ways that a million different 662 00:42:40,840 --> 00:42:43,960 Speaker 1: paper cuts get in there and find a way to 663 00:42:44,680 --> 00:42:49,440 Speaker 1: make sure that these people are absorbing the ideology of 664 00:42:49,880 --> 00:42:53,440 Speaker 1: you know, that class of people protecting themselves and protecting 665 00:42:53,480 --> 00:42:56,799 Speaker 1: their wealth. So, yeah, corporate ocracy is an apt description, 666 00:42:57,120 --> 00:42:59,759 Speaker 1: you know on some level, like it's so intertwined with 667 00:42:59,800 --> 00:43:03,040 Speaker 1: each other. And yeah, just by going just by knowing 668 00:43:03,200 --> 00:43:05,400 Speaker 1: someone who is a CEO, they're like, all right, well, 669 00:43:05,440 --> 00:43:07,680 Speaker 1: if you know a CEO that you can't then you're 670 00:43:07,719 --> 00:43:13,399 Speaker 1: not you're not on song raw Rod COMMI share Fest bullshit. Yeah, 671 00:43:14,480 --> 00:43:17,719 Speaker 1: just having dinner with a CEO is gonna make you 672 00:43:18,040 --> 00:43:20,359 Speaker 1: you know, you're gonna hear their point of view for sure. 673 00:43:21,040 --> 00:43:24,120 Speaker 1: All right, let's take another break and we'll be right back. 674 00:43:34,320 --> 00:43:41,040 Speaker 1: And we're back. And Andrew Cuomo back in the News 675 00:43:41,440 --> 00:43:45,600 Speaker 1: back at it again. Damn Andrew. So he one of 676 00:43:45,719 --> 00:43:56,680 Speaker 1: his aids Daniel. I know, but it's Andrew Cuomo. Yeah, 677 00:43:59,160 --> 00:44:08,879 Speaker 1: I was a damn Daniel bag. Oh Andrew Cuomo. Cuomo 678 00:44:10,000 --> 00:44:16,279 Speaker 1: got it. Andrew Cuomo got it. Wait what is his name? Now? 679 00:44:16,360 --> 00:44:22,880 Speaker 1: I feel crazy? Cuomo. Also, Damn Daniel is not a 680 00:44:22,920 --> 00:44:28,160 Speaker 1: cool reference, like not not not cool at all. Anyways, 681 00:44:29,120 --> 00:44:32,439 Speaker 1: one of his former is Charlotte Bennett is accusing him 682 00:44:32,960 --> 00:44:36,839 Speaker 1: of sexual harassment, and and we're getting like a lot 683 00:44:36,920 --> 00:44:41,960 Speaker 1: of detail and it's basically textbook grooming predator ship. He 684 00:44:42,640 --> 00:44:44,439 Speaker 1: first of all is like a rage of monster around 685 00:44:44,480 --> 00:44:46,400 Speaker 1: the office. But then we'll be like very kind and 686 00:44:46,520 --> 00:44:49,879 Speaker 1: sensitive to her. And then when they were alone, after 687 00:44:50,000 --> 00:44:52,560 Speaker 1: like a year of him being like, you know, playing 688 00:44:52,640 --> 00:44:55,759 Speaker 1: favorites and being really polite and nice to her, he 689 00:44:55,840 --> 00:44:58,600 Speaker 1: started asking her about her sex life, asked if she 690 00:44:58,719 --> 00:45:01,200 Speaker 1: was monogamous, asked if she'd ever had sex with an 691 00:45:01,239 --> 00:45:06,960 Speaker 1: older man. Um uh. And then he told her in 692 00:45:07,000 --> 00:45:10,520 Speaker 1: a followed meeting that he's lonely. And then when she 693 00:45:10,800 --> 00:45:13,680 Speaker 1: was like, well, your daughters are around like trying to 694 00:45:14,239 --> 00:45:17,400 Speaker 1: you know, he doesn't. Yeah, it doesn't take that message 695 00:45:17,440 --> 00:45:20,520 Speaker 1: is like, yeah, his response, Yeah, but I want a girlfriend. 696 00:45:21,040 --> 00:45:22,839 Speaker 1: And then he had a follow up meeting with her 697 00:45:22,920 --> 00:45:25,480 Speaker 1: was where he was like, yeah, how are you doing 698 00:45:25,520 --> 00:45:28,160 Speaker 1: on the girlfriend front? You find me a girlfriend? Um. 699 00:45:31,239 --> 00:45:33,880 Speaker 1: And then another way that his aids are in the 700 00:45:34,000 --> 00:45:36,480 Speaker 1: news and New York Times report at the end of 701 00:45:36,600 --> 00:45:40,640 Speaker 1: last week found that his aids literally rewrote a report 702 00:45:40,760 --> 00:45:43,440 Speaker 1: to cover up nine thousand, two hundred and fifty nursing 703 00:45:43,480 --> 00:45:46,640 Speaker 1: home deaths at the beginning of the pandemic UH and 704 00:45:47,200 --> 00:45:51,120 Speaker 1: the way he and his UH team have tried to 705 00:45:51,200 --> 00:45:56,719 Speaker 1: explain away the you know, mischaracterization of the number of 706 00:45:56,840 --> 00:46:01,080 Speaker 1: deaths and like height covering up deaths would never good 707 00:46:01,160 --> 00:46:04,680 Speaker 1: when when you're covering up a single death, that's usually 708 00:46:05,560 --> 00:46:09,680 Speaker 1: the behavior of someone who's uh, not nailing it in 709 00:46:09,760 --> 00:46:12,759 Speaker 1: the hole, not killing people. Hey, Jack's how many how 710 00:46:12,800 --> 00:46:16,040 Speaker 1: many deaths have you have to cover up? Definitely under 711 00:46:16,120 --> 00:46:22,319 Speaker 1: nine thousand, cam would be my guess one, okay, which 712 00:46:22,360 --> 00:46:24,080 Speaker 1: is always like if you just look at it as 713 00:46:24,160 --> 00:46:26,120 Speaker 1: just when covering up just one down, it's like, oh, 714 00:46:26,239 --> 00:46:31,800 Speaker 1: you're a murderer. It's weird because the numbers are so 715 00:46:32,040 --> 00:46:35,680 Speaker 1: mind blowing, right right, Okay, I'm sorry, but go on, 716 00:46:36,280 --> 00:46:39,080 Speaker 1: but um, so they had always been like, yeah, but 717 00:46:39,160 --> 00:46:41,879 Speaker 1: we're doing it because Trump wouldn't give us funding if 718 00:46:42,000 --> 00:46:45,320 Speaker 1: he like found out the full numbers. Well, this was 719 00:46:45,440 --> 00:46:49,879 Speaker 1: happening well before the federal government was even talking about 720 00:46:49,920 --> 00:46:53,560 Speaker 1: being involved or asking for state level data. It was 721 00:46:54,040 --> 00:46:58,520 Speaker 1: omitted from reports being circulated within the state. Uh so 722 00:46:59,200 --> 00:47:02,879 Speaker 1: that goes out the window. And again, these are people. 723 00:47:03,040 --> 00:47:07,400 Speaker 1: This is not could not there's no possible like explanation 724 00:47:07,520 --> 00:47:09,680 Speaker 1: for this that like, oh, we didn't want people to panic. 725 00:47:09,800 --> 00:47:13,799 Speaker 1: These are people who are like hidden away from view, 726 00:47:14,239 --> 00:47:17,480 Speaker 1: who are dying while being hitten away from you, and 727 00:47:17,600 --> 00:47:21,839 Speaker 1: you're trying to hide their deaths from people, Like it's yeah, 728 00:47:22,239 --> 00:47:24,360 Speaker 1: just I mean, like I think, just a thought experiment. 729 00:47:24,480 --> 00:47:27,960 Speaker 1: Imagine if Andrew Cuomo tried to cover up the fact 730 00:47:28,040 --> 00:47:31,560 Speaker 1: that one of your loved ones died like that, you 731 00:47:31,600 --> 00:47:34,160 Speaker 1: know what I mean, And you'd like, the fuck is this? 732 00:47:35,239 --> 00:47:37,759 Speaker 1: And on top of just a quick number crunch, you 733 00:47:37,840 --> 00:47:41,560 Speaker 1: talk about even one covering up one murder one death 734 00:47:42,040 --> 00:47:45,719 Speaker 1: is some wildly problematic, yeah, fucked up murderer type ship. 735 00:47:46,239 --> 00:47:49,520 Speaker 1: Imagine if Andrew Cuomo had to cover up one death 736 00:47:49,600 --> 00:47:52,360 Speaker 1: a day from this nine nine thousand, two hundred fifty, 737 00:47:52,440 --> 00:47:54,160 Speaker 1: he would be he would be covering up with death 738 00:47:54,320 --> 00:47:58,399 Speaker 1: every day for twenty five years to get to that number. Yeah, 739 00:47:58,920 --> 00:48:01,680 Speaker 1: that's exhausting, but you do it in one go because 740 00:48:01,719 --> 00:48:05,200 Speaker 1: it's all about being the fucking you know, COVID goat. 741 00:48:06,080 --> 00:48:09,759 Speaker 1: Oh you know in the early part of the pandemic. Um. 742 00:48:09,840 --> 00:48:12,680 Speaker 1: I watched his press conference this week and when he 743 00:48:12,760 --> 00:48:14,600 Speaker 1: announced it, I was like, oh, ship, is he going 744 00:48:14,680 --> 00:48:18,320 Speaker 1: to resign? And then obviously didn't resign, and I was like, 745 00:48:18,400 --> 00:48:25,120 Speaker 1: I'm so stupid. He didn't even talk about you didn't 746 00:48:25,120 --> 00:48:28,000 Speaker 1: want to talk about it because there's an investigation going on, 747 00:48:28,160 --> 00:48:31,960 Speaker 1: and he was just like, oh, you know, Yeah, lawyers 748 00:48:32,080 --> 00:48:34,320 Speaker 1: told me I shouldn't even be saying this to you 749 00:48:34,680 --> 00:48:37,880 Speaker 1: right now, but uh, what do they know, I'm a 750 00:48:37,960 --> 00:48:42,279 Speaker 1: lawyer to baby. Charlotte Bennett also said that she felt 751 00:48:42,360 --> 00:48:47,400 Speaker 1: like he became more emboldened once he became like started 752 00:48:47,400 --> 00:48:49,800 Speaker 1: getting national attention for how well he was handling the 753 00:48:49,880 --> 00:48:54,080 Speaker 1: COVID thing. And also he wrote a book about how 754 00:48:54,160 --> 00:48:57,040 Speaker 1: well he was covering the COVID thing, uh doing the 755 00:48:57,160 --> 00:49:01,520 Speaker 1: covid uh thing, like while the pandemic was still happening, 756 00:49:01,640 --> 00:49:07,600 Speaker 1: which is one of the all time, all time dickhead moves. Well, 757 00:49:07,680 --> 00:49:11,759 Speaker 1: if you ask my mom, she would say, I know 758 00:49:11,920 --> 00:49:15,480 Speaker 1: of him. Oh really, yeah, well, you know she's just 759 00:49:15,640 --> 00:49:19,960 Speaker 1: like sixties obvious, like democrat, and she's just like finds 760 00:49:20,040 --> 00:49:23,640 Speaker 1: him to be super handsome and like doesn't do you know, 761 00:49:23,800 --> 00:49:29,080 Speaker 1: doesn't read more than you know, and just love it. Yeah. Yeah, 762 00:49:29,160 --> 00:49:30,640 Speaker 1: I think when you just look at like because I 763 00:49:30,680 --> 00:49:34,280 Speaker 1: think most people look at politicians as like movie characters 764 00:49:34,360 --> 00:49:36,880 Speaker 1: that only exist in the reality of what they're saying 765 00:49:36,920 --> 00:49:39,960 Speaker 1: in that moment on TV, rather than like, who is 766 00:49:40,080 --> 00:49:44,200 Speaker 1: this Andrew Cuomo person? Right? You know, because I think 767 00:49:44,280 --> 00:49:47,080 Speaker 1: and that's why people have these really interesting pair of 768 00:49:47,200 --> 00:49:50,000 Speaker 1: social relationships with politicians too, because like on some level, 769 00:49:50,040 --> 00:49:52,319 Speaker 1: it's like it's that thing that I like that I'm 770 00:49:52,360 --> 00:49:54,960 Speaker 1: sure that on some level the politics maybe resonate with 771 00:49:55,040 --> 00:49:57,680 Speaker 1: you that give you a connection. But then on another 772 00:49:57,760 --> 00:50:00,319 Speaker 1: it's like, yo, hold on, these are let's not let's 773 00:50:00,320 --> 00:50:02,480 Speaker 1: be real. Most of these people should not be in 774 00:50:02,640 --> 00:50:06,000 Speaker 1: office if we're talking about running a country or state 775 00:50:06,160 --> 00:50:10,719 Speaker 1: or municipality humanely. Um. But yeah, I think there was 776 00:50:10,800 --> 00:50:12,560 Speaker 1: one person I felt like on Twitter that was sort 777 00:50:12,560 --> 00:50:15,719 Speaker 1: of like, I'm sorry, I was so regret just like standing, 778 00:50:16,200 --> 00:50:19,440 Speaker 1: you know, Cuomo at the beginning of the pandemic, Like 779 00:50:19,920 --> 00:50:24,839 Speaker 1: in hindsight, I realized just fucking Stockholm syndrome. Um, But yeah, 780 00:50:24,920 --> 00:50:27,280 Speaker 1: there was that whole wave of people like, oh my god, 781 00:50:27,920 --> 00:50:32,160 Speaker 1: the governor bay right, I mean our whole our whole 782 00:50:32,280 --> 00:50:36,840 Speaker 1: culture right now is designed to like you know, build up, 783 00:50:37,120 --> 00:50:39,600 Speaker 1: like make people choose sides and then have like a 784 00:50:39,719 --> 00:50:43,080 Speaker 1: figurehead who's like our guy there guys trump, our guys 785 00:50:43,160 --> 00:50:48,000 Speaker 1: Cuomo or Foucier you know whoever. Like that's just I 786 00:50:48,040 --> 00:50:50,400 Speaker 1: don't know. I don't blame the people as much as 787 00:50:51,040 --> 00:50:53,040 Speaker 1: you know, it's a just a fun no, not at all. 788 00:50:53,080 --> 00:50:55,719 Speaker 1: But I think most people I've credit to someone who 789 00:50:55,760 --> 00:50:57,680 Speaker 1: can like sort of look back and be like, oh, 790 00:50:57,760 --> 00:50:59,799 Speaker 1: that's what that's going on with me, and then yeah, 791 00:50:59,800 --> 00:51:01,920 Speaker 1: they're other people like I'm sure my mom if I 792 00:51:02,000 --> 00:51:04,399 Speaker 1: asked like, hey, what do you think, like he's bad, 793 00:51:04,760 --> 00:51:09,319 Speaker 1: and I'm like, are you watching CNN? Yes, he does 794 00:51:09,520 --> 00:51:13,239 Speaker 1: look like a actual movie villain, Like he would be 795 00:51:13,320 --> 00:51:16,520 Speaker 1: a perfect He looks like the if they photoshopped when 796 00:51:16,640 --> 00:51:19,320 Speaker 1: Dorian puts the mask on, in the mask to like 797 00:51:19,920 --> 00:51:23,719 Speaker 1: less green and like a what do we think of 798 00:51:23,800 --> 00:51:34,160 Speaker 1: his brother Fred? Like what is his name? I'm Chris Link, 799 00:51:34,239 --> 00:51:39,799 Speaker 1: Chris Christof. Yeah, Christopher, he's a fucking hack too. Yeah, 800 00:51:40,160 --> 00:51:44,200 Speaker 1: he's he's a fred Freddy jackass. I'm sorry the second 801 00:51:44,280 --> 00:51:47,520 Speaker 1: you say calling me Fredo is a racial slur, I'm like, okay, 802 00:51:47,640 --> 00:51:50,560 Speaker 1: I'm gonna put you to the side, Sir. Don't ever 803 00:51:50,640 --> 00:51:52,359 Speaker 1: need to hear anything out of your mouth again. If 804 00:51:52,440 --> 00:51:55,120 Speaker 1: that's your critical thought in that moment is like, Yo, 805 00:51:55,239 --> 00:51:58,319 Speaker 1: referencing a Godfather character is like a racial slur. Fam. 806 00:51:59,200 --> 00:52:02,239 Speaker 1: I'm like, oh, how delicate your ego is, sir? Please 807 00:52:02,280 --> 00:52:05,680 Speaker 1: tell us, Please tell us critically, report critically about what's 808 00:52:05,680 --> 00:52:13,319 Speaker 1: happening in your brother's state. Yeah, but but definitely a hottie, right, Yeah, 809 00:52:13,680 --> 00:52:21,400 Speaker 1: my mom wants to suck and fucking for sure. Oh mo, 810 00:52:21,920 --> 00:52:28,560 Speaker 1: Chris Cuomo. I think she wouldn't both both bros. Are 811 00:52:28,600 --> 00:52:35,520 Speaker 1: there only two brothers? Actually, those videos them fighting is 812 00:52:35,680 --> 00:52:41,040 Speaker 1: my favorite thing ever though, of them fighting about who 813 00:52:41,280 --> 00:52:45,560 Speaker 1: loves their mother more like on Oh yeah, Jesus christ, 814 00:52:48,080 --> 00:52:53,320 Speaker 1: you shut your mouth. I love mother more. Oh my god, 815 00:52:54,360 --> 00:52:57,920 Speaker 1: let's change gears and talk about There's an article in 816 00:52:58,360 --> 00:53:03,799 Speaker 1: the Herald Media last week about how zombie movies are 817 00:53:04,360 --> 00:53:08,000 Speaker 1: taking over in Korea. Right now or have been I 818 00:53:08,040 --> 00:53:10,520 Speaker 1: guess for the past couple of decades, and they're basically 819 00:53:10,640 --> 00:53:15,800 Speaker 1: predicting that it's coming back in America. There's a remake 820 00:53:15,920 --> 00:53:19,200 Speaker 1: of Trained to Bousong coming to Hollywood that's going to 821 00:53:19,760 --> 00:53:23,680 Speaker 1: they're predicting might kick off the next wave of zombie movies. Um, 822 00:53:25,000 --> 00:53:28,840 Speaker 1: which that we've talked before about how like when a 823 00:53:28,880 --> 00:53:32,360 Speaker 1: Republican is in office, there's an uptick in zombie movies 824 00:53:32,440 --> 00:53:37,520 Speaker 1: because zombies, like just the mindless, groaning hordes is how 825 00:53:37,640 --> 00:53:42,520 Speaker 1: Democrats view the Republicans. And then when there's a Democrat 826 00:53:42,600 --> 00:53:46,920 Speaker 1: in office, there's an uptick in vampire movies because like 827 00:53:47,680 --> 00:53:54,719 Speaker 1: euro like sexual accented deviance is how Republicans view democrats. 828 00:53:55,320 --> 00:53:59,839 Speaker 1: Um but I feel like I don't know. I feel 829 00:54:00,560 --> 00:54:03,879 Speaker 1: now that we are now that Trump happened, like all 830 00:54:03,960 --> 00:54:06,480 Speaker 1: bets are off. It's like we don't need a Republican 831 00:54:06,600 --> 00:54:11,080 Speaker 1: to be in office to be afraid of of the 832 00:54:11,160 --> 00:54:15,120 Speaker 1: people around us. I mean, fucking the January six look 833 00:54:15,239 --> 00:54:17,560 Speaker 1: like fucking World War Z in a way, you know 834 00:54:17,640 --> 00:54:20,560 Speaker 1: what I mean. We just saw this fucking flow of bodies, 835 00:54:20,640 --> 00:54:23,040 Speaker 1: just like what the fun is going on here? It's 836 00:54:24,600 --> 00:54:28,040 Speaker 1: actual zombies like all of like those viral videos of 837 00:54:28,120 --> 00:54:30,840 Speaker 1: people like banging on doors like let me in without 838 00:54:30,880 --> 00:54:36,200 Speaker 1: a mask or whatever like zombies. Yeah, I'm actually kind 839 00:54:36,239 --> 00:54:39,880 Speaker 1: of suppressed. Like this article made me surprised that zombie 840 00:54:39,960 --> 00:54:43,960 Speaker 1: movies haven't like started blowing up even more, like more 841 00:54:44,080 --> 00:54:47,319 Speaker 1: haven't been coming out in the past. Like first of all, 842 00:54:47,360 --> 00:54:50,839 Speaker 1: it's just ahead of the game and always Yeah, has 843 00:54:50,840 --> 00:54:54,640 Speaker 1: I've seen Kingdom on Netflix? That series? No, Yo, this 844 00:54:54,680 --> 00:54:57,320 Speaker 1: ship is dope. It's like a it's like a period 845 00:54:58,040 --> 00:55:03,480 Speaker 1: like thriller piece, uh like where it's like old school Korea. 846 00:55:03,640 --> 00:55:05,879 Speaker 1: But then there's zombies on top of that ship. It's 847 00:55:06,040 --> 00:55:09,840 Speaker 1: that ship is wild. Um. But yeah, check out on Netflix. 848 00:55:10,040 --> 00:55:12,759 Speaker 1: I'm like only through the first couple episodes. But yeah, 849 00:55:13,160 --> 00:55:16,560 Speaker 1: there's like something I think, yeah, that they're sensing something 850 00:55:17,120 --> 00:55:19,360 Speaker 1: clearly that because I feel like, yeah, the more we 851 00:55:20,000 --> 00:55:23,440 Speaker 1: look at like our news, I'm also finding myself like 852 00:55:23,840 --> 00:55:27,279 Speaker 1: interested in zombie content again. Like I was like trying 853 00:55:27,360 --> 00:55:29,000 Speaker 1: to like find this game I just play Left for 854 00:55:29,080 --> 00:55:31,120 Speaker 1: Dead where you're it's like four people fighting a bunch 855 00:55:31,160 --> 00:55:34,359 Speaker 1: of zombies. I'm like, that's just tight um, And yeah, 856 00:55:34,360 --> 00:55:36,520 Speaker 1: I think because I feel, yeah, there's on some level 857 00:55:36,600 --> 00:55:39,239 Speaker 1: there's like this feeling of like is it me and 858 00:55:39,440 --> 00:55:43,120 Speaker 1: a few other people, and then a lot of nonsense around, 859 00:55:43,480 --> 00:55:47,080 Speaker 1: right right, But also like they're starting to be so 860 00:55:47,719 --> 00:55:51,839 Speaker 1: realistic like zombies in movies, Like they seem so much 861 00:55:51,920 --> 00:55:53,640 Speaker 1: like people that I feel like they're gonna have to 862 00:55:53,719 --> 00:55:55,959 Speaker 1: give them something, like they're gonna have to like start 863 00:55:56,080 --> 00:56:00,759 Speaker 1: flying or something, you know, right right, yeah, yeah, some 864 00:56:00,920 --> 00:56:05,960 Speaker 1: other power that to differentiate them from real people. The 865 00:56:06,040 --> 00:56:13,440 Speaker 1: ability to cancel anyone. Oh my god, don't go there, Miles, 866 00:56:14,239 --> 00:56:17,200 Speaker 1: Oh my god. On top of fearing that they're the 867 00:56:17,320 --> 00:56:19,920 Speaker 1: four people fearing that they're going to get eaten by zombies, 868 00:56:19,960 --> 00:56:24,000 Speaker 1: they also fear that the zombies will cancel. Yeah, Like 869 00:56:24,160 --> 00:56:26,799 Speaker 1: what's worse. They're like, no, they might eat like they 870 00:56:26,840 --> 00:56:30,480 Speaker 1: can cancel you though, well hold on, that's that's the 871 00:56:30,560 --> 00:56:32,880 Speaker 1: less of a threat to you. Maybe, yeah, to you, 872 00:56:33,080 --> 00:56:39,359 Speaker 1: but there's only four of us left. Still still, well, 873 00:56:39,400 --> 00:56:41,640 Speaker 1: I'm not going to wear this Blue Lives Matter shirt 874 00:56:41,680 --> 00:56:43,560 Speaker 1: around them because I don't know what's going to happen, 875 00:56:43,800 --> 00:56:46,560 Speaker 1: what they might tell their others, I don't know, you 876 00:56:46,600 --> 00:56:49,479 Speaker 1: don't know. Oh my god. Well let's get worked. Let's 877 00:56:49,600 --> 00:56:52,719 Speaker 1: start working on this. Yeah, I think it's funnier. I 878 00:56:52,760 --> 00:56:57,799 Speaker 1: think it's funnier to just sort of lambast liberal politics 879 00:56:58,080 --> 00:57:00,040 Speaker 1: with this, then it would be the other way. I 880 00:57:00,120 --> 00:57:02,719 Speaker 1: think it's just way in my mind, there's just way more. 881 00:57:03,560 --> 00:57:06,440 Speaker 1: There's there's way more to mind through like liberal thinking 882 00:57:06,920 --> 00:57:10,840 Speaker 1: than just being like, we get it, it's ignorance or whatever. 883 00:57:11,160 --> 00:57:14,200 Speaker 1: This like high like a high minded idiot zombie who's 884 00:57:14,400 --> 00:57:20,920 Speaker 1: going to cancel you? Like yeah, yeah, and just the 885 00:57:21,240 --> 00:57:27,000 Speaker 1: we're all ground into mindless automatons by by capitalism. So 886 00:57:27,200 --> 00:57:29,400 Speaker 1: that's how we'll bring the country together. There are are 887 00:57:29,520 --> 00:57:32,200 Speaker 1: zombie show that makes fun of liberals that liberals like, 888 00:57:32,240 --> 00:57:34,440 Speaker 1: oh yeah, there's something there. And then for people like 889 00:57:34,520 --> 00:57:39,320 Speaker 1: on the Red yeah, fuck, it's just great. I like 890 00:57:39,480 --> 00:57:42,600 Speaker 1: that you even added a little bit of chaw into 891 00:57:42,680 --> 00:57:47,520 Speaker 1: the person's mouth who you were just impersonating fucking horseshoe 892 00:57:47,520 --> 00:57:52,200 Speaker 1: down here. Uh alright, let's let's talk about the new 893 00:57:52,280 --> 00:57:56,000 Speaker 1: postal trucks before we go. Uh. I didn't know we were. 894 00:57:56,280 --> 00:57:59,600 Speaker 1: I didn't know they were being redesigned, let alone being 895 00:57:59,680 --> 00:58:05,000 Speaker 1: read designed by Pixar. But these things look adorable there. 896 00:58:05,160 --> 00:58:08,160 Speaker 1: They've got like they don't look like normal cars. They 897 00:58:08,680 --> 00:58:12,120 Speaker 1: I don't know it looks like a cartoon or like, yeah, 898 00:58:12,240 --> 00:58:15,160 Speaker 1: something out of a Pixar movie. Yeah, they look like ducks. 899 00:58:15,440 --> 00:58:21,280 Speaker 1: They look like yeah yeah yeah, like big old windshield 900 00:58:21,800 --> 00:58:25,160 Speaker 1: and then like just a little front part. I think 901 00:58:25,200 --> 00:58:29,000 Speaker 1: there being some of the ones that were proposed. So 902 00:58:29,080 --> 00:58:33,320 Speaker 1: they did the open competition open pitch sessh where like 903 00:58:33,360 --> 00:58:40,560 Speaker 1: people could pitch different models, and there was one company 904 00:58:40,760 --> 00:58:44,640 Speaker 1: that pitched like basically making the whole fleet electric, and 905 00:58:45,040 --> 00:58:47,720 Speaker 1: of course the USPS did not go with that one. 906 00:58:48,160 --> 00:58:53,479 Speaker 1: We will be ten electric starting in the year edge. 907 00:58:53,640 --> 00:59:00,200 Speaker 1: Let's just edge. You know, combating combating climate change isn't like, well, 908 00:59:00,240 --> 00:59:02,240 Speaker 1: we have to get rid of these like a couple 909 00:59:02,280 --> 00:59:06,920 Speaker 1: of years after they're put into circulation, because aren't there 910 00:59:07,000 --> 00:59:09,400 Speaker 1: like laws being put into place. There will be like 911 00:59:09,520 --> 00:59:11,920 Speaker 1: some kind of federal mandate about like what the makeup 912 00:59:12,040 --> 00:59:13,720 Speaker 1: is of the fleet or whatever. But you know that's 913 00:59:13,760 --> 00:59:17,800 Speaker 1: all that takes is some other fucking just losers to 914 00:59:17,960 --> 00:59:21,120 Speaker 1: come in and be like, funk that all gas everything 915 00:59:21,400 --> 00:59:24,800 Speaker 1: funk the last guy like I just I mean, i'd 916 00:59:24,840 --> 00:59:27,520 Speaker 1: hope we can maintain that course, but she can change 917 00:59:27,560 --> 00:59:31,200 Speaker 1: so easily. Yeah, I would be embarrassed to be seen 918 00:59:31,280 --> 00:59:35,440 Speaker 1: in one of those cute little trucks. Yeah, or maybe 919 00:59:35,600 --> 00:59:38,120 Speaker 1: I would embrace what is there, like what's the idea? 920 00:59:38,200 --> 00:59:39,760 Speaker 1: Like they had to do it because because they used 921 00:59:39,760 --> 00:59:43,320 Speaker 1: to be in those nasty box jeep type on those 922 00:59:43,360 --> 00:59:48,520 Speaker 1: things don't have air conditioning, don't have like any really 923 00:59:48,640 --> 00:59:52,440 Speaker 1: like are just a death trap and like incredibly dangerous 924 00:59:52,520 --> 00:59:56,240 Speaker 1: for anybody around them because you can't see behind the 925 00:59:57,000 --> 01:00:01,320 Speaker 1: mail truck at all. Uh so, oh ship the idea 926 01:00:01,400 --> 01:00:03,560 Speaker 1: behind that. And I think like one of them caught 927 01:00:03,640 --> 01:00:08,560 Speaker 1: on fire or just spontaneously, um, which I don't think 928 01:00:08,560 --> 01:00:13,680 Speaker 1: they're supposed to do. Um no. Yeah, so that's that's 929 01:00:13,720 --> 01:00:16,480 Speaker 1: why they were getting rid of them. Those things already 930 01:00:16,560 --> 01:00:19,440 Speaker 1: look like they should be like from the nineteen sixties, 931 01:00:19,560 --> 01:00:24,800 Speaker 1: like right, they're all like straight lines and corners and ship. Yeah, 932 01:00:24,840 --> 01:00:26,760 Speaker 1: they look like if you just touch it it would 933 01:00:26,840 --> 01:00:32,160 Speaker 1: cut you, right, yeah, exactly had a lot of sharp corners. 934 01:00:32,160 --> 01:00:33,640 Speaker 1: And it's true like now that you say that, because 935 01:00:33,640 --> 01:00:36,560 Speaker 1: I feel like every time my mail carrier, like in 936 01:00:36,600 --> 01:00:38,560 Speaker 1: my neighborhood growing up, because in the value ship is 937 01:00:38,600 --> 01:00:41,560 Speaker 1: hot as fuck, like in the summer, My my idea, 938 01:00:41,720 --> 01:00:46,200 Speaker 1: my memories of uh, the mail carrier is coming out 939 01:00:46,280 --> 01:00:48,440 Speaker 1: that truck, and she looked she was just dripped. She's like, 940 01:00:48,560 --> 01:00:52,280 Speaker 1: my god fucking truck. And then you see like the 941 01:00:52,840 --> 01:00:54,880 Speaker 1: the seat looked like he's had a bunch of spring 942 01:00:55,000 --> 01:00:58,720 Speaker 1: shooting out of it and some Yeah, I don't know 943 01:00:58,840 --> 01:01:00,880 Speaker 1: what they're doing with those all things, but they're gonna 944 01:01:00,880 --> 01:01:04,320 Speaker 1: give somebody tetanus the like once they're out of circulation. 945 01:01:04,480 --> 01:01:07,640 Speaker 1: Like whatever yard did they put them in? Are these 946 01:01:07,760 --> 01:01:11,840 Speaker 1: new trucks like objectively better though, like yeah, I mean 947 01:01:11,920 --> 01:01:14,960 Speaker 1: they're definitely better, but they're of the ones that could 948 01:01:14,960 --> 01:01:18,200 Speaker 1: have gone with. There was a kind of young upstart 949 01:01:18,720 --> 01:01:22,959 Speaker 1: called Workhorse, those specifically pitching electric trucks for the entire 950 01:01:23,080 --> 01:01:27,560 Speaker 1: USPS field. Uh. And then this company osh Kosh uh 951 01:01:28,000 --> 01:01:30,920 Speaker 1: and their trucks are equipped with either fuel efficient gasoline 952 01:01:30,960 --> 01:01:33,720 Speaker 1: engines or electric batteries, and they went with They went 953 01:01:33,800 --> 01:01:41,640 Speaker 1: with ashkosh baby because uh yeah, why not? Yeah, the 954 01:01:41,720 --> 01:01:44,160 Speaker 1: cost would have been they claimed the cost of the 955 01:01:44,280 --> 01:01:47,800 Speaker 1: electric would have been three or four extra billion dollars. 956 01:01:47,880 --> 01:01:54,800 Speaker 1: But we know, uh right, yeah, and also yeah, and 957 01:01:55,000 --> 01:01:57,360 Speaker 1: and we also, I mean, we need every billion we 958 01:01:57,480 --> 01:02:00,720 Speaker 1: can get for our killing machine pentagon on as much. 959 01:02:00,840 --> 01:02:02,920 Speaker 1: We have to keep feeding it billions because I don't 960 01:02:02,960 --> 01:02:07,280 Speaker 1: know where that goes, but cool, um, just a couple 961 01:02:07,360 --> 01:02:10,920 Speaker 1: billion and you could do this other thing. Well, you know, 962 01:02:11,400 --> 01:02:13,560 Speaker 1: good luck to that truck. It's only a matter time 963 01:02:13,640 --> 01:02:16,320 Speaker 1: to uh the kids start doing graffiti on it like 964 01:02:16,400 --> 01:02:19,560 Speaker 1: we did the old ones. I mean, any country that 965 01:02:19,720 --> 01:02:23,200 Speaker 1: wanted to attack us, if they just looked at what 966 01:02:23,400 --> 01:02:26,240 Speaker 1: we do with our infrastructure, like the ship that happened 967 01:02:26,240 --> 01:02:29,160 Speaker 1: in Texas, the ship that happened in the capital, it 968 01:02:29,320 --> 01:02:31,760 Speaker 1: doesn't matter how much we say we have billions in 969 01:02:31,920 --> 01:02:36,760 Speaker 1: like defense, Yeah exactly, we look and we look like shit. 970 01:02:37,280 --> 01:02:40,320 Speaker 1: You know, I would be like, attack will be great, 971 01:02:40,440 --> 01:02:43,240 Speaker 1: We'll win. I don't know why we're almost like please 972 01:02:43,280 --> 01:02:45,880 Speaker 1: attack to like sort of validate that this country is 973 01:02:45,960 --> 01:02:49,800 Speaker 1: worth attacking again. Other guys like, no, man, have you 974 01:02:49,840 --> 01:02:52,640 Speaker 1: seen what then happened over there? Like that somebody that 975 01:02:52,720 --> 01:02:57,840 Speaker 1: place over like the uh Tim, It has been such 976 01:02:57,880 --> 01:03:01,040 Speaker 1: a pleasure having you back on the Alisa geist. Where 977 01:03:01,080 --> 01:03:05,600 Speaker 1: can people find you and follow you? I'm on Twitter, 978 01:03:06,320 --> 01:03:11,200 Speaker 1: uh dances with Tammy's the worst talking name. I think 979 01:03:11,280 --> 01:03:16,720 Speaker 1: we had this conversation before name and thank you and 980 01:03:16,960 --> 01:03:22,200 Speaker 1: I am tam Yahia on Instagram. Awesome And is there 981 01:03:22,200 --> 01:03:24,360 Speaker 1: a tweet or some of the work of social media 982 01:03:24,440 --> 01:03:28,520 Speaker 1: you've been enjoying. Oh man, I saw the funniest thing. Uh, 983 01:03:29,400 --> 01:03:33,640 Speaker 1: space Jam. This is my pixelated boat. Space Jam director 984 01:03:33,920 --> 01:03:38,560 Speaker 1: reworks Elmer Fudd to be less sexual in reboot, says 985 01:03:39,720 --> 01:03:46,400 Speaker 1: and of Fudd's enormous penis no longer will no longer 986 01:03:46,600 --> 01:03:58,800 Speaker 1: hang out of his basketball short. Yeah, because they're making 987 01:03:58,920 --> 01:04:04,960 Speaker 1: Lola Bunny less hot. Yeah. Yeah. If anybody hasn't seen that, 988 01:04:05,240 --> 01:04:09,160 Speaker 1: is it? Little Donnie the UCB a special Oh yeah 989 01:04:09,280 --> 01:04:12,840 Speaker 1: for Matt Besser has like the just criminally long penis. 990 01:04:14,320 --> 01:04:17,040 Speaker 1: It hangs out of its shorts. It's like the Little 991 01:04:17,120 --> 01:04:20,680 Speaker 1: Donning Foundation. Yeah, Miles, where can people find you? What's 992 01:04:20,680 --> 01:04:27,560 Speaker 1: the tweet you've been in? He's painting penis? Wait? What 993 01:04:27,840 --> 01:04:35,120 Speaker 1: is my This is my friend tuvak. It's a it's 994 01:04:35,200 --> 01:04:39,840 Speaker 1: a half hour long one joke sketch that I think. 995 01:04:39,880 --> 01:04:42,760 Speaker 1: It's the last episode of season one of the Comedy 996 01:04:42,840 --> 01:04:50,640 Speaker 1: Central Upright Citizens Brigade series. Yeah, it's fucking it's absurre um. 997 01:04:51,120 --> 01:04:55,280 Speaker 1: It's just so fun the whole anyway, who is that? 998 01:04:55,400 --> 01:05:00,560 Speaker 1: What is that mean? Did you ask me? You? Oh shit? Um? Yeah? 999 01:05:00,720 --> 01:05:03,640 Speaker 1: Find me on Twitter and Instagram at Miles of Gray, 1000 01:05:03,880 --> 01:05:07,720 Speaker 1: also on a PlayStation network also Miles of Gray. Hit 1001 01:05:07,760 --> 01:05:11,000 Speaker 1: me up there also twitch uh and the other podcast 1002 01:05:11,040 --> 01:05:13,440 Speaker 1: for twenty Day Fiance. We're We're talking ninety day. If 1003 01:05:13,440 --> 01:05:15,520 Speaker 1: you like that show, come come check us out over there. 1004 01:05:16,160 --> 01:05:19,880 Speaker 1: Um some tweets that I like. This one is from 1005 01:05:20,360 --> 01:05:25,440 Speaker 1: Camilla Blackett at Camillard uh tweeting. Okay, so we gasolate 1006 01:05:25,520 --> 01:05:28,760 Speaker 1: men into baking bread by making it a competitive arts 1007 01:05:28,800 --> 01:05:32,960 Speaker 1: and craft nice very successful. Now onto phase two. I'm 1008 01:05:33,080 --> 01:05:37,400 Speaker 1: thinking our teasonal ironing and small batch. Tell me how 1009 01:05:37,480 --> 01:05:42,960 Speaker 1: much you earn? Um? And then another one is from 1010 01:05:43,040 --> 01:05:47,040 Speaker 1: Olivia Messer at Olivia Messer. Uh just says tell me 1011 01:05:47,160 --> 01:05:49,480 Speaker 1: a man wrote this article without telling me. A man 1012 01:05:49,600 --> 01:05:51,640 Speaker 1: wrote this article and it's a little excerpt, and I 1013 01:05:51,640 --> 01:05:55,840 Speaker 1: will read this excerpt for you here. Deep Fried Oreos 1014 01:05:55,880 --> 01:05:58,880 Speaker 1: are the Megan Fox of deep fried products at the 1015 01:05:59,000 --> 01:06:03,080 Speaker 1: Rodeo one, decadent and comely they are in the end 1016 01:06:03,480 --> 01:06:12,920 Speaker 1: filthy and shameful. Oh hell yeah? What is that in maxim? 1017 01:06:13,120 --> 01:06:22,080 Speaker 1: What the fun that skin crawl? U? Holy sh it 1018 01:06:22,400 --> 01:06:26,760 Speaker 1: a tweet I've been enjoying. Uh. Trash Jones tweeted me 1019 01:06:26,840 --> 01:06:32,080 Speaker 1: as a lawyer, so true your honor. You can find 1020 01:06:32,120 --> 01:06:34,040 Speaker 1: me on Twitter Jack under Squirrel Brian. You can find 1021 01:06:34,120 --> 01:06:36,280 Speaker 1: us on Twitter at daily Zeitgeis. We're at the Daily 1022 01:06:36,360 --> 01:06:38,760 Speaker 1: Zeitgeist on Instagram. We have a Facebook fan page on 1023 01:06:38,800 --> 01:06:42,360 Speaker 1: a website, daily zeitgeist dot com, where we post our episodes. 1024 01:06:42,400 --> 01:06:46,360 Speaker 1: On our foot notes, we link off to the information 1025 01:06:46,440 --> 01:06:48,480 Speaker 1: that we talked about today, as well as a song 1026 01:06:48,560 --> 01:06:53,800 Speaker 1: that Miles recommends. Miles, what is two days recommendation? Oh man, 1027 01:06:54,240 --> 01:06:58,280 Speaker 1: we are going to do this cover of some Nirvana, 1028 01:06:58,680 --> 01:07:01,080 Speaker 1: but like but with the Umbia, you know what I mean, 1029 01:07:01,320 --> 01:07:04,280 Speaker 1: just some vive, some vibrations. So this is there's a 1030 01:07:04,360 --> 01:07:09,040 Speaker 1: band from East l a uh called Tropamaica, and they 1031 01:07:09,160 --> 01:07:11,840 Speaker 1: do like they're they're sick as banched out to East 1032 01:07:11,840 --> 01:07:14,960 Speaker 1: East lows um and yet they have a song baby 1033 01:07:17,080 --> 01:07:20,160 Speaker 1: Come as you Are, but the Cumbia version and this 1034 01:07:20,240 --> 01:07:22,720 Speaker 1: ship fucking go. So get that ship wherever you can 1035 01:07:22,760 --> 01:07:25,520 Speaker 1: find it. Uh. And if you like Nirvana, you're gonna 1036 01:07:25,560 --> 01:07:27,280 Speaker 1: love it. If you don't even know what Cumbia is, 1037 01:07:27,760 --> 01:07:30,360 Speaker 1: fucking start bumping it because it's gonna this is what 1038 01:07:30,520 --> 01:07:36,439 Speaker 1: you want to start your week, yest playing at my wedding. Yeah, yeah, 1039 01:07:36,480 --> 01:07:40,080 Speaker 1: it was the best Argentinian Cumbia, which is like the 1040 01:07:40,640 --> 01:07:44,960 Speaker 1: kind of different styles okay, oh yeah, so yeah, so 1041 01:07:45,120 --> 01:07:48,120 Speaker 1: for all the fans of all types of music, this 1042 01:07:48,240 --> 01:07:51,760 Speaker 1: is just a great Van diagram where the overlap is 1043 01:07:51,840 --> 01:07:55,440 Speaker 1: just solid music. All right. Well, The Daily Zeitgey is 1044 01:07:55,440 --> 01:07:57,760 Speaker 1: a production of My Heart Radio. For more podcast My 1045 01:07:57,880 --> 01:08:00,720 Speaker 1: Heart Radio, visit the I Heart Radio app, Apple podcast, 1046 01:08:01,040 --> 01:08:03,320 Speaker 1: or wherever you listen to your favorite shows. That is 1047 01:08:03,400 --> 01:08:05,000 Speaker 1: going to do it for this morning. We are back 1048 01:08:05,080 --> 01:08:07,680 Speaker 1: this afternoon to tell you what's trending. We will talk 1049 01:08:07,720 --> 01:08:12,760 Speaker 1: to you all then bye bye. M