1 00:00:02,560 --> 00:00:05,520 Speaker 1: Hello the Internet, and welcome to Season to fifty four, 2 00:00:05,600 --> 00:00:10,880 Speaker 1: episode three of production of I Heart Radio. It's a 3 00:00:10,920 --> 00:00:14,400 Speaker 1: podcast where we take a deep dive into America's share consciousness. 4 00:00:14,520 --> 00:00:20,080 Speaker 1: And it is Wednesday, September four, two, Yes, Miles, Birthday 5 00:00:20,120 --> 00:00:23,200 Speaker 1: Eve for everybody that celebrates. You know, I just gotta 6 00:00:23,239 --> 00:00:26,960 Speaker 1: dust my soldiers off. But it's also National Parents Day Off, 7 00:00:27,440 --> 00:00:32,199 Speaker 1: National cream field doughnut Day, National eat a hoagie Day, alright, 8 00:00:33,120 --> 00:00:36,919 Speaker 1: go to Uncle's. Yeah, National Sober Day, National Virginia Day, 9 00:00:37,000 --> 00:00:40,839 Speaker 1: National lot Live Creative Day. There we go, got it all. 10 00:00:40,960 --> 00:00:45,120 Speaker 1: Shout out to all of those things, and especially Birthday 11 00:00:45,200 --> 00:00:52,240 Speaker 1: Eve for the Yeah, are you is that your plans? Yeah? 12 00:00:52,320 --> 00:00:54,520 Speaker 1: I don't you know. I love a hog, you know, 13 00:00:54,680 --> 00:00:57,760 Speaker 1: I love a big grinder, substance whatever you want to 14 00:00:57,800 --> 00:01:02,320 Speaker 1: call and grinders nice. That's a song. You're just making 15 00:01:02,360 --> 00:01:05,280 Speaker 1: that up. Yeah, there's a Adam sandlerch song that I 16 00:01:05,360 --> 00:01:11,320 Speaker 1: believe going grinders. Oh he's grinders, Yeah, snappy Joe's uh, 17 00:01:12,000 --> 00:01:15,440 Speaker 1: lady rands. Come on, man, aren't you an elder millennial? 18 00:01:16,280 --> 00:01:21,560 Speaker 1: But yeah, you know, look it's sometimes because I'm getting older, 19 00:01:21,600 --> 00:01:24,520 Speaker 1: I like to pretend I don't know old ship and 20 00:01:24,520 --> 00:01:26,440 Speaker 1: I'm like, I don't know what that is. Adam Sandler, 21 00:01:26,560 --> 00:01:30,399 Speaker 1: the guy from Huby Halloween. That's the only thing I'm 22 00:01:30,440 --> 00:01:32,680 Speaker 1: familiar with him. I don't Oh he did other things 23 00:01:32,760 --> 00:01:36,280 Speaker 1: before that. Huh. Yeah, I'm I'm nineteen, so I think 24 00:01:36,319 --> 00:01:46,880 Speaker 1: I follow one of his kids on Twitter. Yeah, yeah, okay, okay. Anyways, 25 00:01:46,920 --> 00:01:49,880 Speaker 1: my name's Jack O'Brien a K. Has been a while 26 00:01:50,480 --> 00:01:56,000 Speaker 1: since those like gang referenced my milky thighs, and it's 27 00:01:56,040 --> 00:02:00,640 Speaker 1: been a while since I drank Mountain who not true. 28 00:02:01,240 --> 00:02:04,520 Speaker 1: And it's been a while since y'all's I wanted to 29 00:02:05,400 --> 00:02:09,520 Speaker 1: bite my feed again. And it's been a while since 30 00:02:09,600 --> 00:02:13,240 Speaker 1: I ran cracked too. Uh. That's Curtsey a T. DZ 31 00:02:13,400 --> 00:02:17,640 Speaker 1: Burner A little bit a while. It's been a while 32 00:02:17,800 --> 00:02:20,160 Speaker 1: since we did have been a while a K, so 33 00:02:20,200 --> 00:02:23,359 Speaker 1: we appreciate that. Speaking of the royal we in honor 34 00:02:23,440 --> 00:02:27,320 Speaker 1: of the queen who shots the Libby shots, the Libby 35 00:02:27,360 --> 00:02:32,760 Speaker 1: inspiration inspiration. Truly, you know, I'm just following the movement 36 00:02:32,880 --> 00:02:37,000 Speaker 1: of her body around with bated breath. I'm just following 37 00:02:37,000 --> 00:02:40,840 Speaker 1: everyone on Twitter being like my mom's surgery got canceled. Yeah, 38 00:02:41,560 --> 00:02:44,880 Speaker 1: I'm like, what is that soft power. We might get 39 00:02:45,320 --> 00:02:47,640 Speaker 1: into that today. No, it's just it's just they're just 40 00:02:47,760 --> 00:02:55,200 Speaker 1: they're just like they're a concept, massive, amazing truly. Anyways, 41 00:02:55,560 --> 00:02:58,160 Speaker 1: I'm throwed to be joined as always by my co host, 42 00:02:58,360 --> 00:03:04,280 Speaker 1: Mr Miles grad. Oh it's Miles Gray a K eight wa. 43 00:03:04,360 --> 00:03:09,079 Speaker 1: Actually we find the key. When my whole life spending wait, oh, like, 44 00:03:09,240 --> 00:03:10,600 Speaker 1: let me just actually let me let me find the 45 00:03:10,639 --> 00:03:14,000 Speaker 1: key right here, let me need my pitch pipe. Okay, 46 00:03:14,480 --> 00:03:17,919 Speaker 1: when my whole life spending money stolen from the pool 47 00:03:19,400 --> 00:03:24,519 Speaker 1: decades of ascension, I'm without a job no more. Now 48 00:03:24,919 --> 00:03:31,840 Speaker 1: I get to sit on the prone. Now, look, get 49 00:03:31,840 --> 00:03:37,680 Speaker 1: all this ship out. Mommy always said that I get 50 00:03:37,680 --> 00:03:42,240 Speaker 1: to big king someday. Now all of my subjects have 51 00:03:42,400 --> 00:03:48,119 Speaker 1: to do whatever I say. Now I get to sit 52 00:03:48,360 --> 00:03:55,160 Speaker 1: on the throne. Bring me stoling ancient bones, all right, 53 00:03:55,240 --> 00:03:59,680 Speaker 1: Shout out to King Charles Cavalier or whatever you call yourself. Bro, Bro, 54 00:04:00,120 --> 00:04:04,800 Speaker 1: you're there. That's all I think of whenever I hear him, 55 00:04:04,920 --> 00:04:07,000 Speaker 1: Whenever they say King Charles, and my mind to go 56 00:04:07,120 --> 00:04:10,200 Speaker 1: King Charles Kavlier. Oh yeah, I didn't even think about that. 57 00:04:10,840 --> 00:04:15,720 Speaker 1: Charles the third, he's ruining a great dog breed exactly Anyways, 58 00:04:15,760 --> 00:04:18,239 Speaker 1: Miles Weird thrilled to be joined in our third seat 59 00:04:18,279 --> 00:04:20,960 Speaker 1: by most of the new podcast. When the people decide 60 00:04:21,360 --> 00:04:27,000 Speaker 1: it is Jenna Spinelli, Oh, thank you both. I am 61 00:04:27,080 --> 00:04:30,000 Speaker 1: so excited to be here. I hope I don't have 62 00:04:30,080 --> 00:04:33,440 Speaker 1: to sing. Oh, I could not follow either of those 63 00:04:34,040 --> 00:04:36,640 Speaker 1: love in the love in the early odds vibes on 64 00:04:36,680 --> 00:04:42,800 Speaker 1: the show already. Login's voice is a little hard to do. Oh, 65 00:04:42,800 --> 00:04:44,960 Speaker 1: shout out, wopple House. That was That was Christie. I 66 00:04:44,960 --> 00:04:48,560 Speaker 1: was people. People don't know. The street continues when it's 67 00:04:48,680 --> 00:04:51,240 Speaker 1: that on point, and it's a it's that on point, 68 00:04:51,320 --> 00:04:55,599 Speaker 1: both timely and the lyrical. The words are all right 69 00:04:55,640 --> 00:05:00,839 Speaker 1: on beat. I gotta guess it's a yamagoch special. Shut up, 70 00:05:00,880 --> 00:05:03,440 Speaker 1: big Willie. H Jenna, where are you coming to us 71 00:05:03,480 --> 00:05:11,040 Speaker 1: from State College, Pennsylvania? Happy, Happy miney Lions? Huh indeed? 72 00:05:11,120 --> 00:05:14,760 Speaker 1: Oh man? Do you go to the sporting events, the 73 00:05:14,800 --> 00:05:17,800 Speaker 1: football or do you just kind of is that like 74 00:05:17,920 --> 00:05:22,039 Speaker 1: a monsoon season that passes by your window mostly? I 75 00:05:22,040 --> 00:05:24,320 Speaker 1: mean literally, I could see the stadium from my house, 76 00:05:24,360 --> 00:05:26,640 Speaker 1: so yeah, it mostly does pass by my window. But 77 00:05:27,360 --> 00:05:30,200 Speaker 1: I was in the marching band for a couple of years, 78 00:05:30,200 --> 00:05:33,440 Speaker 1: and I was an undergrad, but I would come home 79 00:05:33,480 --> 00:05:35,359 Speaker 1: and like barely even know if we want or not 80 00:05:35,560 --> 00:05:38,200 Speaker 1: or what the score was. So yeah, not not the 81 00:05:38,240 --> 00:05:48,440 Speaker 1: world's biggest football fan. Saxophone Okay, yes, okay, just got 82 00:05:48,520 --> 00:05:50,000 Speaker 1: to make sure I think I might. I think the 83 00:05:50,680 --> 00:05:54,560 Speaker 1: hand line from like the next strap like just went away, 84 00:05:54,600 --> 00:06:02,039 Speaker 1: like yeah, from those summer like grind sessions before that was. 85 00:06:02,400 --> 00:06:05,320 Speaker 1: I played in Bantu and I hated when like that 86 00:06:05,520 --> 00:06:08,360 Speaker 1: right before the school year starts. It's the football team 87 00:06:08,400 --> 00:06:10,400 Speaker 1: and the band who are like, damn, we're at school 88 00:06:10,400 --> 00:06:15,680 Speaker 1: before the ship he starts. Anyway, but laser saxophone tan 89 00:06:15,800 --> 00:06:18,040 Speaker 1: line removal? Did you have to get that? Or where 90 00:06:18,120 --> 00:06:21,800 Speaker 1: were you know? I mean no, I I wish I 91 00:06:21,839 --> 00:06:24,200 Speaker 1: would have thought about that, which previously would have would 92 00:06:24,200 --> 00:06:27,000 Speaker 1: have thought about that. Or you like mask your skin 93 00:06:27,080 --> 00:06:30,880 Speaker 1: off very specifically with sunscreen so you can you're just 94 00:06:31,000 --> 00:06:34,240 Speaker 1: accurately filled back in where yeah, make it looks like 95 00:06:34,240 --> 00:06:37,479 Speaker 1: a bathing suit tan line. Yeah, yeah, I get some 96 00:06:37,640 --> 00:06:43,320 Speaker 1: like convoluted like harness thing. Right. Amazing. Well, we're thrilled 97 00:06:43,360 --> 00:06:45,320 Speaker 1: to have you here. We're excited to talk to you 98 00:06:45,440 --> 00:06:49,279 Speaker 1: about ballot referendums and your your new show We're gonna 99 00:06:49,320 --> 00:06:51,039 Speaker 1: get to know you a little bit better in a moment. First, 100 00:06:51,040 --> 00:06:52,800 Speaker 1: we're gonna tell our listeners a couple of things we're 101 00:06:52,800 --> 00:06:56,600 Speaker 1: talking about. We're going to talk about about referendum Michigan's 102 00:06:56,600 --> 00:07:01,840 Speaker 1: about referendum and the importance of text earning yes, among 103 00:07:01,920 --> 00:07:05,039 Speaker 1: among many other things. But it apparently could mean the 104 00:07:05,040 --> 00:07:08,360 Speaker 1: difference between having rights or not depending on how someone 105 00:07:08,440 --> 00:07:12,640 Speaker 1: chooses to litigate that. Yeah, bad faith arguments from the Republicans, Yeah, 106 00:07:13,160 --> 00:07:16,360 Speaker 1: which I know nobody saw coming. We're gonna talk about Hannity, 107 00:07:16,600 --> 00:07:20,600 Speaker 1: how he's dealing with the many legal challenges to his 108 00:07:20,920 --> 00:07:24,080 Speaker 1: god Emperor. We're going to talk about the soft power 109 00:07:24,800 --> 00:07:28,040 Speaker 1: of the mainstream media expecting us to give a shit 110 00:07:28,120 --> 00:07:31,320 Speaker 1: about the Queen's death. We're going to talk about the 111 00:07:31,480 --> 00:07:36,760 Speaker 1: mt A kind of going back on all COVID precautions 112 00:07:36,840 --> 00:07:40,640 Speaker 1: and just being liked whatever if you do. You this 113 00:07:40,720 --> 00:07:46,320 Speaker 1: is fun. This is really disconcerting. Yeah, So all of 114 00:07:46,360 --> 00:07:49,320 Speaker 1: that plenty more. But first, Jenna, we like to ask 115 00:07:49,360 --> 00:07:53,679 Speaker 1: our guests, what is something from your search history? Yeah? 116 00:07:53,720 --> 00:07:57,800 Speaker 1: So my search history reveals that, although I love to write, 117 00:07:57,840 --> 00:08:01,400 Speaker 1: I can't spell to save my life. I often words 118 00:08:01,480 --> 00:08:06,600 Speaker 1: like initiative, and bureaucracy and entrepreneurship that I often have 119 00:08:06,680 --> 00:08:09,840 Speaker 1: to write for my job. You know, autocorrect doesn't even 120 00:08:09,880 --> 00:08:11,800 Speaker 1: get them. Sometimes I'm so far off, so I'm like 121 00:08:11,840 --> 00:08:14,640 Speaker 1: googling words to make sure I spell them correctly. So 122 00:08:15,000 --> 00:08:18,120 Speaker 1: why I love podcasting. Can write all you want, and uh, 123 00:08:18,200 --> 00:08:21,280 Speaker 1: it doesn't matter if it's spelled correctly. You're not. It's 124 00:08:21,360 --> 00:08:24,520 Speaker 1: all you have to it's only you that's used your script. Yeah, 125 00:08:24,680 --> 00:08:27,840 Speaker 1: I will say I've gotten better at spelling in my 126 00:08:27,960 --> 00:08:32,040 Speaker 1: old age. For somehow, I think just like the sheer 127 00:08:32,360 --> 00:08:36,720 Speaker 1: repetition of getting corrected by by spell like I had given, 128 00:08:36,840 --> 00:08:38,880 Speaker 1: I was like, well, I'm never gonna like be able 129 00:08:38,880 --> 00:08:42,720 Speaker 1: to spell I've never been able to spell bureaucracy. Yeah, 130 00:08:42,960 --> 00:08:46,400 Speaker 1: and then like just via being told that I was 131 00:08:46,440 --> 00:08:49,040 Speaker 1: spelling it wrong over and over again, I am the 132 00:08:49,360 --> 00:08:52,880 Speaker 1: proud owner of a knowledge of how to spell bureaucracy. 133 00:08:53,000 --> 00:08:55,640 Speaker 1: And yeah, I think a word also might have helped. 134 00:08:55,840 --> 00:09:01,360 Speaker 1: Oh yeah, I'm killer at spelling very short words. I've 135 00:09:01,720 --> 00:09:03,800 Speaker 1: I just I think I'm kind of the same, but 136 00:09:03,960 --> 00:09:07,400 Speaker 1: I just more devices of how I pronounced the spelling. 137 00:09:08,000 --> 00:09:12,080 Speaker 1: Like like I'm like, like when you said initiative, I 138 00:09:12,120 --> 00:09:20,679 Speaker 1: go yeah, and then when you said bureaucracy, I say 139 00:09:19,360 --> 00:09:25,000 Speaker 1: bury Chrissy. Well that is like the edits on this 140 00:09:25,040 --> 00:09:29,960 Speaker 1: show are super intended. Shoutout to super producer Justin because yes, yeah, 141 00:09:30,000 --> 00:09:33,000 Speaker 1: my Miles pronounced like, can you say restaurant again? I 142 00:09:33,000 --> 00:09:38,360 Speaker 1: mean rest Tower Ran. Yeah, that's like, honestly how I 143 00:09:38,400 --> 00:09:41,160 Speaker 1: would get like because something if I go, I would 144 00:09:41,160 --> 00:09:43,480 Speaker 1: always go phonetically by my ear and I would always 145 00:09:43,480 --> 00:09:45,240 Speaker 1: just like end up missing a letter. And then I 146 00:09:45,280 --> 00:09:47,439 Speaker 1: was like, Okay, you gotta let's really drill down with 147 00:09:47,520 --> 00:09:49,679 Speaker 1: these words and just saying how you like, be a 148 00:09:49,679 --> 00:09:54,440 Speaker 1: beautiful you are be a beuty. But that's how That's 149 00:09:54,440 --> 00:09:56,400 Speaker 1: what I say in my as I type, I'm like, 150 00:09:56,440 --> 00:09:59,920 Speaker 1: and you are be a beautiful, Like that's how I 151 00:10:00,240 --> 00:10:03,560 Speaker 1: spelling misspelling ship doesn't Like, that's not a thing that 152 00:10:03,760 --> 00:10:07,840 Speaker 1: really ever reaches an audience. But the thing I feel 153 00:10:07,840 --> 00:10:12,680 Speaker 1: like the new embarrassment is that we like mispronounced words 154 00:10:12,760 --> 00:10:16,559 Speaker 1: that we've just been reading in our head incorrectly for decades. 155 00:10:16,840 --> 00:10:22,160 Speaker 1: You know, that's that's always rough. You know, I have 156 00:10:22,240 --> 00:10:26,120 Speaker 1: hope now after Jack, after hearing that spelling, Yeah, you're 157 00:10:26,120 --> 00:10:29,560 Speaker 1: a very young person, and uh and Miles I'm never 158 00:10:29,600 --> 00:10:32,240 Speaker 1: going to think of those words the same way again. 159 00:10:32,280 --> 00:10:37,840 Speaker 1: I'm always going to go with the don't don't trick 160 00:10:37,920 --> 00:10:40,640 Speaker 1: yourself saying it right, just go with what it looks 161 00:10:40,640 --> 00:10:47,160 Speaker 1: in ititi in indiative. You know, I wish I would 162 00:10:47,160 --> 00:10:50,520 Speaker 1: have known that before I made eight episodes all about ballet. 163 00:10:51,240 --> 00:10:53,880 Speaker 1: Would have made my life so much easier. Where were 164 00:10:53,880 --> 00:10:58,280 Speaker 1: you six months? Are okay with referendum? Though? Yeah? Actually okay? Yeah, 165 00:10:58,280 --> 00:10:59,800 Speaker 1: that is a little bit. That's that you can wrap 166 00:10:59,840 --> 00:11:02,679 Speaker 1: your around that one. You don't just like words are weird, 167 00:11:03,080 --> 00:11:06,679 Speaker 1: you just stop using it, like ballot referendums. That's so 168 00:11:06,800 --> 00:11:10,280 Speaker 1: much easier. What is something you think is an over rage? 169 00:11:10,760 --> 00:11:14,240 Speaker 1: I would have to say getting on an airplane earlier, 170 00:11:14,360 --> 00:11:18,280 Speaker 1: like being the first to board an airplane. I know 171 00:11:18,400 --> 00:11:22,120 Speaker 1: some people might disagree for like overhead bin space, but 172 00:11:22,880 --> 00:11:25,360 Speaker 1: I do not want to spend any more time on 173 00:11:25,400 --> 00:11:27,360 Speaker 1: the plane than I have to, especially because I feel 174 00:11:27,360 --> 00:11:30,839 Speaker 1: like you, especially recently, like there's been so many horror 175 00:11:30,920 --> 00:11:33,800 Speaker 1: stories of like, oh we're sitting there for six hours 176 00:11:33,840 --> 00:11:36,720 Speaker 1: at the gate before we take off and all this stuff. 177 00:11:36,760 --> 00:11:39,480 Speaker 1: So why had any more misery to that than you 178 00:11:39,520 --> 00:11:41,760 Speaker 1: have to? So what's your what's your how does your 179 00:11:41,760 --> 00:11:44,439 Speaker 1: timing work? Like do you You're like, fuck it, I'll 180 00:11:44,480 --> 00:11:46,600 Speaker 1: be in group funk out of here at the end. 181 00:11:46,679 --> 00:11:49,360 Speaker 1: I don't care, Like I don't like what's your what's 182 00:11:49,360 --> 00:11:51,920 Speaker 1: your methodology to ensure that? Like if you are if 183 00:11:51,920 --> 00:11:54,480 Speaker 1: you're an early group, you're like, you know, I'll go 184 00:11:54,520 --> 00:11:57,000 Speaker 1: with everybody else at the end. Yeah, sometimes I'll do that. 185 00:11:57,120 --> 00:11:59,600 Speaker 1: And it's also like, so we have a really small 186 00:11:59,720 --> 00:12:02,640 Speaker 1: air ports in my town, and so it's like there 187 00:12:02,640 --> 00:12:05,319 Speaker 1: are like the planes are so small that your bag 188 00:12:05,360 --> 00:12:08,240 Speaker 1: doesn't fit in the overhead anyway, so everybody always has 189 00:12:08,280 --> 00:12:11,319 Speaker 1: to like check it plane side, and so I'm just 190 00:12:11,400 --> 00:12:13,079 Speaker 1: kind of used to that. But yeah, I just kind 191 00:12:13,080 --> 00:12:15,560 Speaker 1: of hang out the gate. It's it's fun to like 192 00:12:15,640 --> 00:12:19,880 Speaker 1: watch everybody like jockeying to get you know, their premiere 193 00:12:20,640 --> 00:12:25,440 Speaker 1: status points whatever, you know, just like watch all that 194 00:12:25,559 --> 00:12:28,040 Speaker 1: unfold at the game's like it's like the equivalent of 195 00:12:28,120 --> 00:12:30,000 Speaker 1: people like dudes in the key, like when a free 196 00:12:30,000 --> 00:12:32,720 Speaker 1: throws about to beat and they're like, hold on, let me, 197 00:12:32,720 --> 00:12:36,280 Speaker 1: I'm about to get my box out, Like yeah, yeah, 198 00:12:36,840 --> 00:12:39,040 Speaker 1: the little arm thing they do where they put their 199 00:12:39,160 --> 00:12:40,840 Speaker 1: arm on top of each other. I like to do 200 00:12:40,920 --> 00:12:43,440 Speaker 1: that with a stranger if I'm makes them on a plane, 201 00:12:43,520 --> 00:12:45,560 Speaker 1: just like put my arm above theirs, just to make 202 00:12:45,600 --> 00:12:47,960 Speaker 1: sure they know who's who's boss. And you're like, well 203 00:12:48,000 --> 00:12:50,199 Speaker 1: group are you and they're like hey, You're like oh 204 00:12:50,280 --> 00:12:52,600 Speaker 1: my okay, my bad. Yeah, I like to I like 205 00:12:52,679 --> 00:12:55,360 Speaker 1: to get in there early, you know, fill up all 206 00:12:55,360 --> 00:12:58,520 Speaker 1: the overhead space with just every everything I have with me, 207 00:12:58,920 --> 00:13:01,600 Speaker 1: and then just to stab likesh a very wide stance 208 00:13:01,840 --> 00:13:06,400 Speaker 1: in my in the taking your jacket out of your bag. 209 00:13:07,640 --> 00:13:11,480 Speaker 1: I definitely like I I now, especially with like mask 210 00:13:11,559 --> 00:13:15,200 Speaker 1: off plane like riding, I'm like, yeah, I'll go. I'll 211 00:13:15,200 --> 00:13:17,360 Speaker 1: take as a few breaths in there as I need 212 00:13:17,400 --> 00:13:20,920 Speaker 1: to now. But in the before times, when bin space 213 00:13:21,080 --> 00:13:24,319 Speaker 1: was at a premium, I was fucking shameless, like Jenna 214 00:13:24,400 --> 00:13:27,640 Speaker 1: I would. I will command my way onto like and 215 00:13:27,679 --> 00:13:31,000 Speaker 1: if we have any armed forces, people in the military, 216 00:13:31,040 --> 00:13:34,200 Speaker 1: active duty, I'm like, yeah, right here, okay, Like i 217 00:13:34,240 --> 00:13:36,280 Speaker 1: gotta get in here, bro. I see everybody got a 218 00:13:37,000 --> 00:13:39,319 Speaker 1: bag and I'm not checking that ship. I will steal 219 00:13:39,400 --> 00:13:42,720 Speaker 1: some valor. You're like counting the rollie bags like people 220 00:13:42,960 --> 00:13:47,680 Speaker 1: card County done that. We're in trouble. We're in trouble here. 221 00:13:48,520 --> 00:13:50,760 Speaker 1: I've never done that. Oh I have. I well, not 222 00:13:50,920 --> 00:13:54,320 Speaker 1: like that, you know, sort of precise, but I am like, oh, 223 00:13:54,640 --> 00:13:57,920 Speaker 1: I don't like these ratios. Do you have you ever 224 00:13:57,960 --> 00:14:01,480 Speaker 1: met people who are such professional travelers, like they're like 225 00:14:01,720 --> 00:14:05,120 Speaker 1: George Clooney in up in the air, Like they're like, oh, yeah, 226 00:14:05,240 --> 00:14:08,959 Speaker 1: I like this flight because it flies in seven from 227 00:14:08,960 --> 00:14:11,560 Speaker 1: like this year, and like those are actually really good 228 00:14:11,559 --> 00:14:14,360 Speaker 1: and like you just want to sit in business class 229 00:14:14,480 --> 00:14:18,640 Speaker 1: and it is usually like like business people who travel 230 00:14:18,679 --> 00:14:20,920 Speaker 1: for business a lot, and yeah, you gotta know what 231 00:14:20,960 --> 00:14:25,480 Speaker 1: the configuration is up there. Yeah, yeah to too. It's 232 00:14:25,520 --> 00:14:28,160 Speaker 1: a surprise. Every time I got on a plane, I'm like, wow, 233 00:14:28,320 --> 00:14:31,360 Speaker 1: it's a big one. Wow it goes up in the air, 234 00:14:32,960 --> 00:14:35,440 Speaker 1: and yeah, that's that's the surprise. I look at the 235 00:14:35,480 --> 00:14:46,480 Speaker 1: people around me, I'm like, what, oh my god, are 236 00:14:46,520 --> 00:14:51,920 Speaker 1: you going? Yeah, I've never been on one of these 237 00:14:51,960 --> 00:14:58,080 Speaker 1: buses before. What is something you think is underrated? Local news? 238 00:14:58,360 --> 00:15:01,400 Speaker 1: This is like the soap fuck the other soapbox I 239 00:15:01,440 --> 00:15:07,520 Speaker 1: have besides ballot measures is people knowing and following and 240 00:15:07,560 --> 00:15:11,680 Speaker 1: subscribing to their local news, Like whatever is happening in 241 00:15:11,720 --> 00:15:15,040 Speaker 1: your city, your town, whatever I can guarantee you is 242 00:15:15,040 --> 00:15:18,160 Speaker 1: probably far more consequential to your daily life than like 243 00:15:18,560 --> 00:15:20,960 Speaker 1: some congress person from a state you don't live in, 244 00:15:21,000 --> 00:15:23,960 Speaker 1: and like what they're tweeting about. Yeah, that's fine to 245 00:15:24,040 --> 00:15:26,240 Speaker 1: look at that stuff. That's that's great. I do it too, 246 00:15:26,280 --> 00:15:29,200 Speaker 1: But try to try to balance your reality. How are 247 00:15:29,240 --> 00:15:32,960 Speaker 1: you following the local news, because so Los Angeles local news. Like, 248 00:15:32,960 --> 00:15:36,040 Speaker 1: when I hear local news, I'm picturing, you know, a 249 00:15:36,160 --> 00:15:40,760 Speaker 1: person with a lot of hairspray in their hair reading, Yeah, 250 00:15:41,160 --> 00:15:44,720 Speaker 1: talking to me about violent crimes that have happened in 251 00:15:44,840 --> 00:15:47,400 Speaker 1: my town. And then according to my friend the cop, 252 00:15:47,520 --> 00:15:50,440 Speaker 1: he said, it's really bad and we shouldn't really delve 253 00:15:50,520 --> 00:15:54,160 Speaker 1: into that statement much more. Yeah, it's really bad out there, folks. 254 00:15:54,520 --> 00:15:56,640 Speaker 1: And then and then you know, a puppy or something 255 00:15:56,680 --> 00:16:00,320 Speaker 1: at the end to keep keeping feel good story, maybe 256 00:16:00,320 --> 00:16:03,120 Speaker 1: who like turns a hundred or something like that. So 257 00:16:03,160 --> 00:16:07,040 Speaker 1: you're saying that is the best thing for us to be. No, well, 258 00:16:08,600 --> 00:16:11,840 Speaker 1: that has its place, but no, I like, I'll recommend 259 00:16:11,880 --> 00:16:16,760 Speaker 1: to organizations. UM One is called the Institute for Nonprofit News. 260 00:16:17,280 --> 00:16:21,359 Speaker 1: It's a listing of like new like mostly online nonprofit 261 00:16:21,480 --> 00:16:24,560 Speaker 1: news sites. And the other one is called lying publishers. 262 00:16:24,600 --> 00:16:28,800 Speaker 1: That's also like a directory of local news startups across 263 00:16:28,880 --> 00:16:32,680 Speaker 1: the country, So they're in big cities, rural community suburbs. 264 00:16:32,720 --> 00:16:35,480 Speaker 1: Like people are starting these things up like crazy. So 265 00:16:35,520 --> 00:16:38,640 Speaker 1: that's exciting to see. And which one of these does 266 00:16:38,680 --> 00:16:45,280 Speaker 1: Jeff Bezos? Yes, I mean yeah, and how can I 267 00:16:45,320 --> 00:16:51,360 Speaker 1: trust it? I want him? So these like nonprofits are 268 00:16:51,400 --> 00:16:52,920 Speaker 1: like coming in and filling the void of all the 269 00:16:53,360 --> 00:16:57,040 Speaker 1: you know, local papers and just outlets that were shut 270 00:16:57,080 --> 00:17:02,480 Speaker 1: down by corporations or TV stations that are all like 271 00:17:02,520 --> 00:17:05,040 Speaker 1: all three of the TV stations in my market are 272 00:17:05,160 --> 00:17:11,119 Speaker 1: all owned by Sinclair Broadcasting. Yeah, and every every anchor 273 00:17:11,200 --> 00:17:13,800 Speaker 1: is giving some same version of like a op ed 274 00:17:14,000 --> 00:17:17,720 Speaker 1: that was forced down their neck hours before a yeah 275 00:17:17,840 --> 00:17:22,320 Speaker 1: for sure. Yeah, that's that's good that people are actually 276 00:17:22,760 --> 00:17:26,800 Speaker 1: like filling that gap, because it does feel like Facebook 277 00:17:27,240 --> 00:17:28,879 Speaker 1: is the way that a lot of people have filled 278 00:17:28,920 --> 00:17:32,800 Speaker 1: that gap. And and then you know those neighborhood apps 279 00:17:32,960 --> 00:17:37,080 Speaker 1: that are just like the store and like, yeah, they 280 00:17:37,119 --> 00:17:42,199 Speaker 1: weren't white. I'm scared this This person's car was loud. 281 00:17:42,359 --> 00:17:49,000 Speaker 1: I think it rattled my window. Should I call police? Yeah? Yeah, alright, 282 00:17:49,480 --> 00:17:51,720 Speaker 1: let's take a quick break. We'll come back and we'll 283 00:17:51,720 --> 00:18:06,639 Speaker 1: talk about some of the stories and we're back and 284 00:18:06,880 --> 00:18:11,159 Speaker 1: let's talk about this Michigan. Michigan ballot referendum. Three words 285 00:18:11,200 --> 00:18:17,639 Speaker 1: that I can spell and the importance of text Kerning. Yeah, So, 286 00:18:18,080 --> 00:18:22,320 Speaker 1: ballot initiatives, referendums, they've got a lot of attention, especially 287 00:18:22,359 --> 00:18:24,760 Speaker 1: since the Dab's decision, because you know, it's the process 288 00:18:24,800 --> 00:18:27,040 Speaker 1: that allows the voters to propose new laws if you 289 00:18:27,160 --> 00:18:29,800 Speaker 1: get enough signatures saying like hey, I got this idea, 290 00:18:29,840 --> 00:18:32,440 Speaker 1: there's enough support from the voting from the voting populace, 291 00:18:33,119 --> 00:18:35,720 Speaker 1: but now let's create initiative to vote this in and 292 00:18:35,760 --> 00:18:38,919 Speaker 1: say have the people have their say. We've seen this 293 00:18:38,960 --> 00:18:41,000 Speaker 1: work in a couple of ways. Sometimes it's for the 294 00:18:41,040 --> 00:18:43,440 Speaker 1: good of like working people. Other times it's like uber 295 00:18:43,560 --> 00:18:46,639 Speaker 1: being like hey man, we're chill and like look at 296 00:18:46,640 --> 00:18:48,680 Speaker 1: these people we put up to saying that like we're 297 00:18:48,680 --> 00:18:51,320 Speaker 1: a good company, and we'll pretend it's them putting this 298 00:18:51,400 --> 00:18:54,920 Speaker 1: together rather than us. The corporations that are exploiting drivers 299 00:18:55,000 --> 00:19:01,600 Speaker 1: put this ballot initiative together. They spent million dollars like yeah, yeah, yeah, 300 00:19:01,600 --> 00:19:06,400 Speaker 1: a little bit here and there away. Yeah, and currently 301 00:19:06,440 --> 00:19:10,800 Speaker 1: in the US or in California that is pitting local 302 00:19:11,480 --> 00:19:19,520 Speaker 1: indigenous tribes against draft Kings, and like it's like the yeah, 303 00:19:19,560 --> 00:19:24,360 Speaker 1: every NFL game has ads that are like, hey, come on, bro, 304 00:19:24,520 --> 00:19:27,040 Speaker 1: you want to bet like your friends and other states 305 00:19:27,560 --> 00:19:30,639 Speaker 1: sucks that you can't. Well now you can thanks to 306 00:19:30,760 --> 00:19:35,200 Speaker 1: Draft Kings. And then like a very you know, straightforward 307 00:19:35,200 --> 00:19:37,800 Speaker 1: ad being like, hey, this really fucks us, and like 308 00:19:38,080 --> 00:19:40,600 Speaker 1: you've already been sucking us for so long, so could 309 00:19:40,600 --> 00:19:43,000 Speaker 1: you not Yeah, well you can use the fucking apt 310 00:19:43,040 --> 00:19:48,200 Speaker 1: to vote on Aaron Rodgers. Okay, no things, but yeah, 311 00:19:48,440 --> 00:19:51,280 Speaker 1: this has been like it's been part of the political 312 00:19:51,280 --> 00:19:53,760 Speaker 1: discussion for a minute. And in Kansas we saw, you 313 00:19:53,800 --> 00:19:56,960 Speaker 1: know this, the like ballot referendum deployed a new, very 314 00:19:56,960 --> 00:20:00,000 Speaker 1: cynical way because Republicans in the state proposed this constitution, 315 00:20:00,000 --> 00:20:02,560 Speaker 1: the amendment that said the right to an right to 316 00:20:02,600 --> 00:20:07,160 Speaker 1: an abortion is not enshrined in our fancy state papers constitution, 317 00:20:07,520 --> 00:20:09,640 Speaker 1: and if we vote this in, we can say that 318 00:20:09,760 --> 00:20:12,600 Speaker 1: it doesn't have no one has this right. And they 319 00:20:12,640 --> 00:20:15,840 Speaker 1: thought that they would have a voter turnout advantage. Unfortunately, 320 00:20:15,920 --> 00:20:19,080 Speaker 1: they didn't factor in the idea that this is just 321 00:20:19,280 --> 00:20:22,480 Speaker 1: really like not palatable for people who care about their 322 00:20:22,480 --> 00:20:25,360 Speaker 1: fucking rights. So, uh, they tried to sneak it through, 323 00:20:25,400 --> 00:20:28,480 Speaker 1: but oh they lose one, and it was a huge 324 00:20:28,480 --> 00:20:30,639 Speaker 1: win for securing healthcare for people in Kansas and the 325 00:20:30,640 --> 00:20:32,919 Speaker 1: surrounding states where people do not have safe access. So 326 00:20:33,320 --> 00:20:36,520 Speaker 1: it's like it's also these results that have the GOP 327 00:20:36,760 --> 00:20:40,719 Speaker 1: realizing how unpopular their policies of forced birth are. So 328 00:20:40,760 --> 00:20:43,720 Speaker 1: it makes sense that giving people a reason to vote 329 00:20:43,720 --> 00:20:46,600 Speaker 1: to secure health care for people would be a terrifying 330 00:20:46,720 --> 00:20:49,159 Speaker 1: prospect for them. That's one of the reasons why Lindsay 331 00:20:49,160 --> 00:20:50,879 Speaker 1: Graham is trying to get ahead of it and be like, 332 00:20:51,480 --> 00:20:54,800 Speaker 1: I'm proposing a federal ban at fifteen. We'll get to 333 00:20:54,880 --> 00:20:57,040 Speaker 1: that later because talk about not being able to read 334 00:20:57,040 --> 00:20:59,600 Speaker 1: the room. So this is where Michigan comes in the state. 335 00:20:59,720 --> 00:21:02,800 Speaker 1: Is he balanced in terms of like their political representation 336 00:21:02,920 --> 00:21:07,040 Speaker 1: right Democrat governor GOP state legislature, The congressional reps are 337 00:21:07,040 --> 00:21:11,480 Speaker 1: split split pretty evenly between both parties. They voted Obama 338 00:21:11,560 --> 00:21:15,720 Speaker 1: twice Trump in like they're just it's it's a good 339 00:21:15,760 --> 00:21:18,200 Speaker 1: sort of bell Weather. I guess to see like where 340 00:21:18,200 --> 00:21:20,480 Speaker 1: the middle of that like curve is in terms of 341 00:21:20,560 --> 00:21:24,280 Speaker 1: support for safe access for abortion care and voters are 342 00:21:24,280 --> 00:21:26,160 Speaker 1: able to get a referendum on the ballot that would 343 00:21:26,280 --> 00:21:29,800 Speaker 1: enshrine abortion rights up until fetal viability. So they were 344 00:21:29,840 --> 00:21:33,240 Speaker 1: able to get seven hundred fifty thousand fucking signatures for 345 00:21:33,240 --> 00:21:37,000 Speaker 1: this thing. You only need four thousand in Michigan to 346 00:21:37,000 --> 00:21:39,720 Speaker 1: get something on the ballot, so a good indicator of 347 00:21:39,720 --> 00:21:42,040 Speaker 1: the kind of support for this. And this has made 348 00:21:42,080 --> 00:21:45,040 Speaker 1: the anti abortion crowd very nervous, and they did their 349 00:21:45,080 --> 00:21:49,359 Speaker 1: best to try and get it taken off the ballot because, drumroll, please, 350 00:21:49,800 --> 00:21:53,040 Speaker 1: the text was too close together, so no one knows 351 00:21:53,119 --> 00:21:58,280 Speaker 1: what this referendum even means. Guy, And they described this 352 00:21:58,480 --> 00:22:02,800 Speaker 1: very legible text or this bill as being quote groupings 353 00:22:02,920 --> 00:22:06,320 Speaker 1: of letters that are found in no dictionary and are 354 00:22:06,359 --> 00:22:09,680 Speaker 1: incapable of having any meaning. So please take this off 355 00:22:09,680 --> 00:22:12,960 Speaker 1: the ballot. And they kind of got the request, but 356 00:22:12,960 --> 00:22:14,919 Speaker 1: then it went to the Supreme Court and Supreme Court's like, 357 00:22:14,920 --> 00:22:16,560 Speaker 1: no funk out of here, put that ship back on, 358 00:22:16,760 --> 00:22:20,359 Speaker 1: Like that was such a such as wack as reason 359 00:22:20,440 --> 00:22:23,480 Speaker 1: to have this taken off. So if you look, there's 360 00:22:23,520 --> 00:22:26,160 Speaker 1: a sort of excerpt from the bill, and look, I'm 361 00:22:26,160 --> 00:22:28,399 Speaker 1: not gonna lie. We're looking at like the text is 362 00:22:28,720 --> 00:22:31,439 Speaker 1: the letters are funking so close together it is wild, 363 00:22:31,520 --> 00:22:34,399 Speaker 1: but not to the point where I go, yeah, like 364 00:22:34,480 --> 00:22:39,520 Speaker 1: there's a whole very legible paragraph explaining like what what 365 00:22:39,640 --> 00:22:43,359 Speaker 1: the initiative is, and then like three lines down there's 366 00:22:43,440 --> 00:22:46,200 Speaker 1: one that has like sort of a weird thing happening 367 00:22:46,200 --> 00:22:48,439 Speaker 1: where they've tried to cramp too many words onto the 368 00:22:48,480 --> 00:22:51,840 Speaker 1: same line and end. It's a mess, but you know, 369 00:22:51,960 --> 00:22:57,760 Speaker 1: bad curning, but probably does not invalidate anybody voting for this. 370 00:22:57,880 --> 00:23:00,480 Speaker 1: I don't think anyone was like thrown off, like I'm 371 00:23:00,520 --> 00:23:04,280 Speaker 1: just voting for Google. That's yeah, that's kind of my 372 00:23:04,400 --> 00:23:07,080 Speaker 1: thing that I'm passionate about. Giving me off with this 373 00:23:07,640 --> 00:23:11,639 Speaker 1: ninth line here, so waiting. There's also like a voter 374 00:23:11,760 --> 00:23:14,800 Speaker 1: guide that goes out to people, And I have a 375 00:23:15,359 --> 00:23:17,560 Speaker 1: friend who was just in Michigan on vacation and he 376 00:23:17,680 --> 00:23:20,320 Speaker 1: was like, yeah, I mean this is everywhere. You can't 377 00:23:20,560 --> 00:23:23,320 Speaker 1: like drive down the road in Michigan or turn on 378 00:23:23,359 --> 00:23:25,840 Speaker 1: the TV or anything without seeing this. So yeah, if 379 00:23:25,880 --> 00:23:29,440 Speaker 1: you are relying on this one particular block of text 380 00:23:29,560 --> 00:23:31,960 Speaker 1: is your sole source of information, I find that a 381 00:23:31,960 --> 00:23:36,080 Speaker 1: little hard to believe. Right, where does your passion for 382 00:23:36,280 --> 00:23:40,640 Speaker 1: kind of talking about bout initiatives and referendums, Like what 383 00:23:40,640 --> 00:23:43,680 Speaker 1: what what is your interest in them? Because I think 384 00:23:43,720 --> 00:23:47,200 Speaker 1: I'm mostly familiar with them for from things like uber 385 00:23:47,760 --> 00:23:51,520 Speaker 1: like forcing something through or something like that. Yeah, yeah, so, 386 00:23:51,640 --> 00:23:55,760 Speaker 1: I mean I I really like that it gives like 387 00:23:55,840 --> 00:23:59,240 Speaker 1: everyday people a voice in politics. Now, as you said, 388 00:23:59,280 --> 00:24:01,359 Speaker 1: like that doesn't all aways happen and there you know, 389 00:24:01,440 --> 00:24:04,960 Speaker 1: the tool itself is doesn't discriminate that way as to 390 00:24:05,040 --> 00:24:07,720 Speaker 1: like who can use it. But I think that in 391 00:24:07,800 --> 00:24:11,360 Speaker 1: situations where the legislature is disinclined to act, but there 392 00:24:11,440 --> 00:24:14,920 Speaker 1: is something that has broad public support, like we've seen 393 00:24:15,000 --> 00:24:19,520 Speaker 1: with you know, marijuana legalization, minimum wage, expanding voting rights 394 00:24:20,080 --> 00:24:23,760 Speaker 1: and now you know, reproductive rights, it it seems like, um, 395 00:24:23,800 --> 00:24:27,000 Speaker 1: I just love that. Like it's not about like Team 396 00:24:27,000 --> 00:24:29,840 Speaker 1: Read and Team Blue, or like this candidate and that 397 00:24:29,960 --> 00:24:32,440 Speaker 1: candidate or just a lot of the tropes that tend 398 00:24:32,480 --> 00:24:35,879 Speaker 1: to dominate our politics. It's like people out there like 399 00:24:36,119 --> 00:24:39,159 Speaker 1: doing stuff and actually like fighting for the Chaine that 400 00:24:39,200 --> 00:24:43,160 Speaker 1: they want to see and building new coalitions in the process. Right, 401 00:24:43,280 --> 00:24:46,600 Speaker 1: Because it's never stuff like we think we should actually 402 00:24:47,480 --> 00:24:51,000 Speaker 1: have some red redistricting going on that will help Democrats. 403 00:24:51,080 --> 00:24:54,280 Speaker 1: That's my ballot, And like my proposal. No, like you're saying, 404 00:24:54,560 --> 00:24:58,359 Speaker 1: it really is just like you know, like with like 405 00:24:58,400 --> 00:25:00,080 Speaker 1: a lot of people are looking at this referendum in 406 00:25:00,119 --> 00:25:03,000 Speaker 1: Michigan right because both parties are very anxious to see 407 00:25:03,000 --> 00:25:05,640 Speaker 1: the results of this and kind of understand where the 408 00:25:05,680 --> 00:25:08,600 Speaker 1: country is on this, even though the polling is very 409 00:25:08,640 --> 00:25:12,040 Speaker 1: clear on where most people are. But it's just also 410 00:25:12,320 --> 00:25:16,800 Speaker 1: you know, it also allows for our leaders to just 411 00:25:16,880 --> 00:25:19,240 Speaker 1: kind of sit back and not do the right thing 412 00:25:19,280 --> 00:25:20,959 Speaker 1: that is obvious and be like, well, let's wait for 413 00:25:20,960 --> 00:25:23,679 Speaker 1: this so then we can try and triangulate, which is 414 00:25:23,720 --> 00:25:27,359 Speaker 1: why I think sometimes like these ballot initiatives do help. 415 00:25:27,840 --> 00:25:31,879 Speaker 1: Like people say, we're way ahead of you, so you 416 00:25:31,920 --> 00:25:33,760 Speaker 1: know what, maybe we just need to maybe we need 417 00:25:33,800 --> 00:25:36,080 Speaker 1: to do something to sort of have a catalyst for 418 00:25:36,119 --> 00:25:39,760 Speaker 1: the kind of reforms we're looking for. Yeah, and I 419 00:25:39,800 --> 00:25:42,240 Speaker 1: think we we're definitely seeing that now because the other 420 00:25:42,280 --> 00:25:44,679 Speaker 1: big thing on the ballot this fall are you know, 421 00:25:44,720 --> 00:25:48,800 Speaker 1: several states, particularly like states with Republican legislatures, are trying 422 00:25:48,840 --> 00:25:51,880 Speaker 1: to make it harder for people to use the initiative, 423 00:25:51,960 --> 00:25:55,520 Speaker 1: like they're upping the signature requirements, they're changing the number 424 00:25:55,520 --> 00:25:57,720 Speaker 1: of votes it needs to pass, and so they're trying 425 00:25:57,720 --> 00:26:00,680 Speaker 1: to like crack down on this because it has been 426 00:26:00,800 --> 00:26:03,800 Speaker 1: used to pass you know what what can might be 427 00:26:03,840 --> 00:26:06,320 Speaker 1: seen as as progressive. I'm pointing out an air quotes 428 00:26:06,400 --> 00:26:10,919 Speaker 1: policies of minimum wage, medicaid expansion. So they're trying to 429 00:26:11,480 --> 00:26:13,600 Speaker 1: take back some of that power that they feel. They 430 00:26:13,680 --> 00:26:16,959 Speaker 1: fust has it been used to like institute higher minimum 431 00:26:16,960 --> 00:26:22,880 Speaker 1: wage and think, oh it has. Yeah, Medicaid expansion passed 432 00:26:22,880 --> 00:26:26,879 Speaker 1: in Idaho, minimum wage passed in Florida, and I believe 433 00:26:26,920 --> 00:26:29,760 Speaker 1: one or two other states. Yeah, these things kind of 434 00:26:29,800 --> 00:26:32,880 Speaker 1: catch on and it has teeth like that changes too, 435 00:26:33,520 --> 00:26:36,400 Speaker 1: like that causes That's that's great, well, and that's why 436 00:26:36,400 --> 00:26:39,600 Speaker 1: it's so dangerous, right because you can enshrine these things 437 00:26:39,600 --> 00:26:41,439 Speaker 1: into law, and then on the other side you can 438 00:26:41,480 --> 00:26:44,919 Speaker 1: have cynical, wealthy groups of people or industries be like 439 00:26:45,400 --> 00:26:49,959 Speaker 1: what if we don't use clean energy, you know, and 440 00:26:50,000 --> 00:26:51,960 Speaker 1: like and what if we wear this in a very 441 00:26:52,000 --> 00:26:54,879 Speaker 1: confusing way. That's also kind of the insidious thing about 442 00:26:54,960 --> 00:26:59,680 Speaker 1: them attacking the Kurning and how confusing the like writing 443 00:26:59,680 --> 00:27:02,400 Speaker 1: on three of the lines is that the way that 444 00:27:02,520 --> 00:27:06,960 Speaker 1: the Ubers and you know, the Republicans and Kansas try 445 00:27:07,080 --> 00:27:11,280 Speaker 1: to convince people to vote their ways by making it 446 00:27:11,400 --> 00:27:14,359 Speaker 1: extra confusing, Like some of the California ballot initiatives that 447 00:27:14,400 --> 00:27:17,680 Speaker 1: I've voted on since living here are you know, just 448 00:27:18,880 --> 00:27:22,960 Speaker 1: triple negative, like just a mess, and you really, you know, 449 00:27:23,080 --> 00:27:25,320 Speaker 1: you do need that voter guide to tell you what 450 00:27:25,320 --> 00:27:29,600 Speaker 1: what's what? Yeah, it's like like verbal jerrymandering or something 451 00:27:29,920 --> 00:27:34,000 Speaker 1: like kind that in written form. Yeah, And it's always 452 00:27:34,240 --> 00:27:36,439 Speaker 1: like when I when I was doing a lot of 453 00:27:36,440 --> 00:27:40,520 Speaker 1: ballot initiative stuff in California and my political days, I 454 00:27:40,560 --> 00:27:43,280 Speaker 1: remember very like when I first started, like and I 455 00:27:43,359 --> 00:27:45,879 Speaker 1: was very naive and optimistic and I was like, what 456 00:27:45,920 --> 00:27:47,880 Speaker 1: about this? But they say it's bad and like one 457 00:27:47,920 --> 00:27:52,080 Speaker 1: of these like surly like grizzled, like you know campaign veterans, 458 00:27:52,240 --> 00:27:55,119 Speaker 1: like look at the fucking print at the end of 459 00:27:55,119 --> 00:27:58,160 Speaker 1: the ad define print that says paid for by. It's 460 00:27:58,200 --> 00:28:00,720 Speaker 1: probably gonna have some weird name him, but it's going 461 00:28:00,760 --> 00:28:03,000 Speaker 1: to be pretty clear who they sighed with there, and 462 00:28:03,000 --> 00:28:05,080 Speaker 1: then you can get an idea of who this helps. 463 00:28:05,119 --> 00:28:07,600 Speaker 1: And I was like, oh, thank you, thank you. And 464 00:28:07,640 --> 00:28:10,600 Speaker 1: also even then I need to scratch paper to keep track, 465 00:28:11,800 --> 00:28:14,520 Speaker 1: and they're saying no on this, so they mean yes, 466 00:28:14,720 --> 00:28:20,280 Speaker 1: on marijuana cage. But what also reveals how underhanded you 467 00:28:20,320 --> 00:28:21,680 Speaker 1: can be when you have a ton of money, you 468 00:28:21,720 --> 00:28:26,080 Speaker 1: can just create these like sham advocacy groups. Like in Michigan, 469 00:28:26,200 --> 00:28:29,880 Speaker 1: they the group that was going or trying to repeal 470 00:28:29,920 --> 00:28:33,760 Speaker 1: this ballot referendum was called Citizens to Support Michigan Women 471 00:28:33,760 --> 00:28:38,880 Speaker 1: and Children. And you're like, that's what that does. But then, yeah, 472 00:28:38,960 --> 00:28:41,280 Speaker 1: I guess that's what my question. Is there a bias 473 00:28:41,320 --> 00:28:44,800 Speaker 1: towards lay masses, Like has there been a bias towards 474 00:28:44,880 --> 00:28:48,040 Speaker 1: like the bad guys to this point or is it 475 00:28:48,120 --> 00:28:51,600 Speaker 1: just like the big famous cases from the last few 476 00:28:51,720 --> 00:28:56,520 Speaker 1: years have been used for bad purposes. That's you know, 477 00:28:56,560 --> 00:28:59,360 Speaker 1: I think like any political tool, there's there's there's both 478 00:28:59,600 --> 00:29:02,640 Speaker 1: for sure. Yeah, yeah, And it is hard to get 479 00:29:02,720 --> 00:29:05,640 Speaker 1: these things repealed in in some cases, especially if it's 480 00:29:05,680 --> 00:29:08,360 Speaker 1: something that the legislature and the courts want to keep, 481 00:29:08,440 --> 00:29:10,120 Speaker 1: like we in the in the series. One of the 482 00:29:10,160 --> 00:29:13,880 Speaker 1: episodes is about three Strikes in California, Like that was 483 00:29:14,160 --> 00:29:17,280 Speaker 1: an ball measure pass in the nineties and they've been 484 00:29:17,320 --> 00:29:19,520 Speaker 1: trying to get rid of it ever since. There's something 485 00:29:20,160 --> 00:29:22,720 Speaker 1: on the ballot this year. There's something else planned for 486 00:29:22,800 --> 00:29:25,640 Speaker 1: twenty four, like they're still trying to reform it or 487 00:29:25,640 --> 00:29:29,840 Speaker 1: hopefully get rid of it all together. Yeah, and you know, meanwhile, 488 00:29:30,000 --> 00:29:33,880 Speaker 1: Lindsey Graham is out here talking about now he's not 489 00:29:33,920 --> 00:29:36,240 Speaker 1: talking about he is saying he's going to introduce a 490 00:29:36,360 --> 00:29:41,000 Speaker 1: federal abortion band bill when Republicans take the Senate, and 491 00:29:41,160 --> 00:29:44,040 Speaker 1: most people are like, have you not heard how fucking 492 00:29:44,120 --> 00:29:46,840 Speaker 1: unpopular that staying, I don't what are you talking about? 493 00:29:46,880 --> 00:29:49,160 Speaker 1: But since most decisions at the highest levels are made 494 00:29:49,160 --> 00:29:52,080 Speaker 1: by dudes, so that think they are not intergalactic levels 495 00:29:52,080 --> 00:29:55,440 Speaker 1: of out of touch, they believe that this bill helps 496 00:29:55,520 --> 00:29:58,680 Speaker 1: the GOP. And what they're doing, what they insist on, 497 00:29:58,800 --> 00:30:02,200 Speaker 1: is that they're operating from this framework that they believe it. 498 00:30:02,280 --> 00:30:05,000 Speaker 1: It's like by us saying we want a fifteen week band, 499 00:30:05,240 --> 00:30:07,320 Speaker 1: we're gonna sort of we're going to show how we 500 00:30:07,480 --> 00:30:12,560 Speaker 1: counter the Democrats rat quote unquote radical policies of the 501 00:30:12,640 --> 00:30:16,400 Speaker 1: always used words like late term abortions or abortion on 502 00:30:16,600 --> 00:30:19,680 Speaker 1: demand to try and be like they'll do anything. They 503 00:30:19,680 --> 00:30:22,880 Speaker 1: don't care about anybody, and they fail to recognize that 504 00:30:22,920 --> 00:30:26,280 Speaker 1: their stance is basically, you don't have say over your 505 00:30:26,320 --> 00:30:29,960 Speaker 1: own body. And there's really no way to lighten that up, 506 00:30:30,000 --> 00:30:32,560 Speaker 1: but and I think it was Axios. They were saying, quote, 507 00:30:32,560 --> 00:30:35,320 Speaker 1: Graham's bill is designed to present Republicans as being more 508 00:30:35,440 --> 00:30:39,160 Speaker 1: mainstream on abortion by pushing a partial band over either 509 00:30:39,320 --> 00:30:43,000 Speaker 1: a full band or what they characterize as democrats quote 510 00:30:43,040 --> 00:30:46,560 Speaker 1: abortion on demand position. So they're like, hey, we're fine, 511 00:30:46,600 --> 00:30:50,480 Speaker 1: this a little bit of a band, Like we're not monsters, 512 00:30:50,720 --> 00:30:55,560 Speaker 1: wink wink wink. We are Okay, We're um and that's 513 00:30:55,600 --> 00:30:59,080 Speaker 1: this is all just it's all tactical, just piecemeal ship 514 00:30:59,120 --> 00:31:00,560 Speaker 1: because at the end of the day, what they want 515 00:31:00,680 --> 00:31:04,240 Speaker 1: is a total band. Yeah, so hopefully I mean that. 516 00:31:04,600 --> 00:31:07,800 Speaker 1: It seems like that's a bad strategy, like a bad 517 00:31:07,840 --> 00:31:12,080 Speaker 1: by him. So well he he looks so nervous at 518 00:31:12,120 --> 00:31:14,960 Speaker 1: this press conference. He was like yeah. They're like, have 519 00:31:15,040 --> 00:31:18,280 Speaker 1: you talked to Mitch McConnell about this fam And he's like, 520 00:31:19,280 --> 00:31:22,640 Speaker 1: I talked to these ladies, these ladies behind me about it, 521 00:31:22,800 --> 00:31:24,480 Speaker 1: and they were like, yeah, yeah, we talked to him. 522 00:31:24,640 --> 00:31:27,520 Speaker 1: It was like very odd. I don't know what's going on. 523 00:31:27,640 --> 00:31:31,520 Speaker 1: But it's again not a good look. But like we see, 524 00:31:31,560 --> 00:31:34,040 Speaker 1: like time and again, like the decisions that are made 525 00:31:34,040 --> 00:31:37,520 Speaker 1: by politicians, like on either side, like people failed to 526 00:31:37,560 --> 00:31:40,400 Speaker 1: realize how fucking out of touch they really are, and 527 00:31:40,440 --> 00:31:42,760 Speaker 1: they're like up and this is great, and people like 528 00:31:42,800 --> 00:31:45,480 Speaker 1: you just said the Dobbs decision was good because it 529 00:31:45,520 --> 00:31:48,400 Speaker 1: allowed states to make this decision. Now you're pushing for 530 00:31:48,440 --> 00:31:51,720 Speaker 1: a federal band. He's like, well, the Democrats wanted to. 531 00:31:52,040 --> 00:31:54,640 Speaker 1: I think, he said, the Democrats are defining who they 532 00:31:54,680 --> 00:31:57,480 Speaker 1: are with their bill, So we're defining who we are 533 00:31:57,520 --> 00:32:01,720 Speaker 1: with this one. Yeah. I mean, while other Republican candidates 534 00:32:01,760 --> 00:32:05,600 Speaker 1: are like furiously trying to remove abortion references from their 535 00:32:05,640 --> 00:32:09,480 Speaker 1: websites and deleting old social media posts and all this 536 00:32:09,560 --> 00:32:13,640 Speaker 1: kind of stuff. Yeah, what are some ballot initiatives like 537 00:32:13,800 --> 00:32:17,280 Speaker 1: victories in the recent past or upcoming that you that 538 00:32:17,360 --> 00:32:20,800 Speaker 1: you're kind of inspired by and covering on your podcast. 539 00:32:21,400 --> 00:32:25,960 Speaker 1: So there was there were a couple in eighteen. One 540 00:32:26,120 --> 00:32:31,840 Speaker 1: was the Amendment for Campaign in Florida, which restored voting 541 00:32:31,960 --> 00:32:36,680 Speaker 1: rights to formerly incarcerated people that passed with like sixties 542 00:32:36,720 --> 00:32:40,280 Speaker 1: something percent of the vote. Like we're saying, some of 543 00:32:40,280 --> 00:32:44,280 Speaker 1: the minimum wage campaigns, and there's been some really interesting 544 00:32:44,320 --> 00:32:47,680 Speaker 1: ones to curb predatory lending as well, like paid a 545 00:32:47,840 --> 00:32:49,960 Speaker 1: loans and all that kind of stuff. So I mean 546 00:32:49,960 --> 00:32:52,520 Speaker 1: not like the sexiest issues, right, but stuff that like 547 00:32:52,640 --> 00:32:56,320 Speaker 1: really matters to people. And and of course I'm I'm 548 00:32:56,400 --> 00:33:00,200 Speaker 1: following all of the reproductive rights measures closely, and I 549 00:33:00,240 --> 00:33:03,840 Speaker 1: think that, you know, depending on what happens in in Michigan, 550 00:33:04,600 --> 00:33:07,440 Speaker 1: if the right to abortion is upheld in the in 551 00:33:07,480 --> 00:33:10,360 Speaker 1: the state constitution, I think we could see that it 552 00:33:10,560 --> 00:33:13,600 Speaker 1: tried in other states. Kind of like marijuana like started 553 00:33:13,600 --> 00:33:16,520 Speaker 1: in Colorado and California. Now it's like it's on the 554 00:33:16,560 --> 00:33:19,760 Speaker 1: ballot in like Nebraska and Oklahoma and all these places. 555 00:33:19,800 --> 00:33:22,360 Speaker 1: And so I think that, you know, we could definitely 556 00:33:22,440 --> 00:33:27,600 Speaker 1: see that become part of the reproductive right strategy moving forward. 557 00:33:28,120 --> 00:33:32,320 Speaker 1: M hm nice. Alright, let's let's talk Hannity real quick. Man. 558 00:33:32,800 --> 00:33:35,520 Speaker 1: He was on one on his show the other night, 559 00:33:36,200 --> 00:33:40,040 Speaker 1: and yeah, he's basically trying to list all of the 560 00:33:40,080 --> 00:33:44,400 Speaker 1: crimes that Donald Trump is accused of as proof that 561 00:33:45,160 --> 00:33:48,800 Speaker 1: everybody else is crazy and that Donald Trump is like 562 00:33:48,920 --> 00:33:55,800 Speaker 1: being persecuted. He's being persecuted. Man, Like conscious pilot right now, Barabbas. Yeah, 563 00:33:56,080 --> 00:33:59,560 Speaker 1: and you got ponscious pilot over here. Merrick Garland just 564 00:33:59,640 --> 00:34:01,800 Speaker 1: doing whatever he wants to. But you know, this has 565 00:34:01,840 --> 00:34:05,160 Speaker 1: been a wild week, like just in the last couple 566 00:34:05,160 --> 00:34:08,480 Speaker 1: of days, right that just beyond the Mara Lago classified 567 00:34:08,480 --> 00:34:12,120 Speaker 1: documents thing, there are new subpoenas for Trump's like that 568 00:34:12,239 --> 00:34:15,920 Speaker 1: in regards to like Trump's spund raising like practices with 569 00:34:15,960 --> 00:34:19,240 Speaker 1: his superpack, potentially opening up some like wire fraud charges 570 00:34:19,560 --> 00:34:22,200 Speaker 1: for the dumb Dumb's got subpoena by the d o 571 00:34:22,320 --> 00:34:26,480 Speaker 1: j for their part in the fake collector's plot. Hey 572 00:34:26,560 --> 00:34:30,240 Speaker 1: dumb dumb here. Hey, hey you Bore s Epstein. Yeah, 573 00:34:30,400 --> 00:34:33,040 Speaker 1: here you go. You're dumb dumb. You've been serving out 574 00:34:33,080 --> 00:34:37,080 Speaker 1: of here. Uh. And also the Senate Judiciary Committee announced 575 00:34:37,080 --> 00:34:39,960 Speaker 1: that they would be investigating Trump's like misuse of the 576 00:34:40,040 --> 00:34:42,080 Speaker 1: d o J. A is like his like attack dog. 577 00:34:42,320 --> 00:34:44,760 Speaker 1: That's just in the last two days. Okay, so handed, 578 00:34:44,800 --> 00:34:48,520 Speaker 1: He's like, what's going on. They're doing everything they can, 579 00:34:48,960 --> 00:34:53,080 Speaker 1: And in this he goes down this list of all 580 00:34:53,120 --> 00:34:57,080 Speaker 1: of these fucking crimes he's being investigated for, as if 581 00:34:57,120 --> 00:34:59,680 Speaker 1: to say they they're just so obsessed with this guy, 582 00:34:59,719 --> 00:35:02,920 Speaker 1: aren't they. But it's it's like the worst cell phone 583 00:35:02,960 --> 00:35:05,880 Speaker 1: I guess that you could see because it's wild to 584 00:35:05,920 --> 00:35:09,480 Speaker 1: see this list of charges copin you can't fucking believe 585 00:35:09,520 --> 00:35:14,279 Speaker 1: it or is witch hunt. The emoluments clause investigation from 586 00:35:14,280 --> 00:35:17,759 Speaker 1: the House Oversight Committee, a House Ways and Means investigation 587 00:35:17,800 --> 00:35:22,640 Speaker 1: into the Trump's taxes, Another House investigation into Trump's hotel ease, 588 00:35:22,880 --> 00:35:27,360 Speaker 1: Another House investigation into far gift disclosures, a dcro the 589 00:35:27,400 --> 00:35:32,040 Speaker 1: Trump's inauguration fundraising, another similar investigation from the Southern District 590 00:35:32,080 --> 00:35:34,560 Speaker 1: of New York and the Eastern District of New York, 591 00:35:34,719 --> 00:35:38,919 Speaker 1: and from New Jersey's Attorney general. One impeachment investigation into 592 00:35:38,920 --> 00:35:42,560 Speaker 1: a regular phone call with Ukraine. A second impeachment investigation 593 00:35:42,600 --> 00:35:50,600 Speaker 1: into January six yet a regular phone call, just no 594 00:35:50,719 --> 00:35:53,440 Speaker 1: bias there. He was having a perfectly fine it was 595 00:35:53,480 --> 00:35:58,480 Speaker 1: an excellent phone Weird, you are supporting a con artist? 596 00:35:58,760 --> 00:36:02,239 Speaker 1: Does that? Maybe? Maybe, maybe that's the answer to the 597 00:36:02,360 --> 00:36:06,239 Speaker 1: number of crimes that people are No, he's not a 598 00:36:06,320 --> 00:36:09,640 Speaker 1: path someone who has used every amount of power he's 599 00:36:09,680 --> 00:36:14,160 Speaker 1: gotten to bully and commit more crimes. And he we 600 00:36:14,280 --> 00:36:18,799 Speaker 1: made him the president of the United States. It's but 601 00:36:18,920 --> 00:36:22,919 Speaker 1: it's bonkers. Yeah, like he he commits crimes like other 602 00:36:22,960 --> 00:36:26,920 Speaker 1: people breathe. Yeah, this is this doesn't surprise anyone except 603 00:36:27,000 --> 00:36:31,640 Speaker 1: you get over it. The emoluments clause like whatever, that 604 00:36:31,960 --> 00:36:34,520 Speaker 1: just did the wrong place at the wrong time, like 605 00:36:35,280 --> 00:36:39,000 Speaker 1: different times. I mean, you know, I don't even really 606 00:36:39,440 --> 00:36:43,120 Speaker 1: the John McClain of you know, the Bruce Willis and 607 00:36:43,200 --> 00:36:45,719 Speaker 1: die Hard kept showing up at these places that would 608 00:36:45,719 --> 00:36:49,920 Speaker 1: get terrorist attacked. That's like terrorists attackeded, I think is 609 00:36:49,960 --> 00:36:57,879 Speaker 1: the correct. Yeah, he got dactyl. He he just kept 610 00:36:57,880 --> 00:37:01,000 Speaker 1: showing up with places where people were doing fraud and 611 00:37:01,560 --> 00:37:07,200 Speaker 1: crime and then joined in on it because pressure. He's 612 00:37:07,200 --> 00:37:09,319 Speaker 1: just uh, he's just got to get new friends, you know. 613 00:37:09,400 --> 00:37:11,400 Speaker 1: I think he's a deal there. But yeah, this is 614 00:37:11,440 --> 00:37:14,560 Speaker 1: all I mean, I'm really curious to see how when 615 00:37:14,600 --> 00:37:17,040 Speaker 1: Sean hannerd Hannity begins to intersect with a lot of 616 00:37:17,040 --> 00:37:19,759 Speaker 1: these investigations. That's always interesting with like him and even 617 00:37:19,800 --> 00:37:22,680 Speaker 1: like Lindsey Graham earlier were like there's a lot of 618 00:37:22,680 --> 00:37:25,160 Speaker 1: smoke around, especially with Lindsay Graham where he's like, I 619 00:37:25,200 --> 00:37:27,920 Speaker 1: don't want to testify about how I may have meddled 620 00:37:27,920 --> 00:37:31,279 Speaker 1: and shipped in Georgia. Yeah, just a I don't know. 621 00:37:31,360 --> 00:37:36,280 Speaker 1: Everyone is waiting with bated breath to see, uh anything happens, 622 00:37:36,320 --> 00:37:38,360 Speaker 1: to be honest, I think that's really what it is. 623 00:37:38,360 --> 00:37:40,880 Speaker 1: It's like, oh, when's it happening. It's like, is it 624 00:37:41,040 --> 00:37:43,799 Speaker 1: gonna anything or like Lindsay Graham, like, look at this 625 00:37:43,880 --> 00:37:46,600 Speaker 1: abortion ban over here, so you're not looking at all 626 00:37:46,640 --> 00:37:51,080 Speaker 1: this other stuff. Don't talk about me being you know, indicted. 627 00:37:51,200 --> 00:37:53,759 Speaker 1: Maybe I don't know. Look, maybe this will be a 628 00:37:53,800 --> 00:37:56,480 Speaker 1: smoke bomb that will distract everyone, but I think at 629 00:37:56,480 --> 00:37:58,799 Speaker 1: this point it's just getting him a lot of people 630 00:37:58,960 --> 00:38:05,480 Speaker 1: just confused. And like this guy fucking stinks. This guy stinks. Yeah, 631 00:38:05,600 --> 00:38:07,799 Speaker 1: and he's even gesturing at a thing that is like 632 00:38:07,880 --> 00:38:12,200 Speaker 1: politically a loser for him, but just anything to anything 633 00:38:12,280 --> 00:38:15,200 Speaker 1: to make noise and you know, rile people up. But 634 00:38:15,560 --> 00:38:19,520 Speaker 1: this does the abortion band really really does seem to 635 00:38:19,520 --> 00:38:22,040 Speaker 1: be a loser for them, and they don't seem to 636 00:38:22,320 --> 00:38:25,200 Speaker 1: be able to come to grips with that. Yeah, Oh, Linda, 637 00:38:26,000 --> 00:38:27,920 Speaker 1: there's a just all this click went up. I don't 638 00:38:27,960 --> 00:38:30,719 Speaker 1: know what it says, but Mitch McConnell has just been 639 00:38:30,760 --> 00:38:33,879 Speaker 1: asked about Lindsey Graham's abortion bands. So maybe this will 640 00:38:33,920 --> 00:38:35,360 Speaker 1: be good, maybe it won't, But I just want to 641 00:38:35,360 --> 00:38:40,239 Speaker 1: play it to hear what Ms McConnel has to say abortion. 642 00:38:40,560 --> 00:38:44,680 Speaker 1: If you take off asked if you take the cent, 643 00:38:45,440 --> 00:38:50,960 Speaker 1: we put it entirely to the States. Well, with regard 644 00:38:51,000 --> 00:38:53,759 Speaker 1: to his bill, you'll have to ask him about it. 645 00:38:53,840 --> 00:38:57,520 Speaker 1: In terms of scheduling, I think most of the members 646 00:38:57,560 --> 00:39:00,560 Speaker 1: of my conference, I prefer that this we don't with 647 00:39:00,600 --> 00:39:04,279 Speaker 1: at the straight level. That's someone who listens to the 648 00:39:04,320 --> 00:39:10,520 Speaker 1: pools and also sheep in the middle of that sense 649 00:39:11,320 --> 00:39:14,359 Speaker 1: he's looking. I mean, look, if Mitch is sweating too, man, 650 00:39:14,440 --> 00:39:16,880 Speaker 1: he's losing control. Also, you'd love to see it. But 651 00:39:16,920 --> 00:39:19,000 Speaker 1: also it's at everyone else's expense. So I don't know 652 00:39:19,000 --> 00:39:22,279 Speaker 1: what to make of it, right, all right, do we 653 00:39:22,360 --> 00:39:26,000 Speaker 1: have anything that like leads point points to Hannity being 654 00:39:26,239 --> 00:39:29,320 Speaker 1: involved other than just the fact that he was likely 655 00:39:29,360 --> 00:39:33,600 Speaker 1: Trump's like number one advisor that oh they were mean, yeah, 656 00:39:33,640 --> 00:39:37,799 Speaker 1: there apparently him and many Fox people, right wing news 657 00:39:37,920 --> 00:39:40,839 Speaker 1: people come up in text messages that have been you know, 658 00:39:41,600 --> 00:39:44,000 Speaker 1: obtained by the d o J or the committee. So 659 00:39:44,000 --> 00:39:46,000 Speaker 1: I don't know, but it could just be stuff where 660 00:39:46,080 --> 00:39:48,360 Speaker 1: like we've seen he's like, hey, man, tell Trump to 661 00:39:48,440 --> 00:39:51,440 Speaker 1: knock it off. Man, it's a bad look. Or if 662 00:39:51,480 --> 00:39:54,600 Speaker 1: he's really also you know, if it gets a little 663 00:39:54,600 --> 00:39:57,480 Speaker 1: bit more insidious than that, not sure. All right, let's 664 00:39:57,520 --> 00:40:00,799 Speaker 1: take a quick break. We'll come back and talk about 665 00:40:00,800 --> 00:40:16,160 Speaker 1: the queen. Mm hm, and we're back and yeah, the 666 00:40:16,200 --> 00:40:20,800 Speaker 1: mainstream media just seems is like continues to be paralyzed 667 00:40:20,800 --> 00:40:24,120 Speaker 1: by the death of the queen, just like the number 668 00:40:24,160 --> 00:40:28,000 Speaker 1: one trending thing on Twitter, like that's all that's on CNN. 669 00:40:28,440 --> 00:40:34,080 Speaker 1: Just everything is just about where her body is right now, 670 00:40:34,280 --> 00:40:36,480 Speaker 1: Like this is where we're recording this on the day 671 00:40:36,520 --> 00:40:40,080 Speaker 1: that her body was being transported, and like the Queen's 672 00:40:40,120 --> 00:40:44,080 Speaker 1: body or the Queen says goodbye to Scotland for the 673 00:40:44,160 --> 00:40:48,760 Speaker 1: last time, and just this like false solemnity or maybe 674 00:40:48,760 --> 00:40:51,160 Speaker 1: they are solemn, maybe they are really like broken up 675 00:40:51,160 --> 00:40:55,600 Speaker 1: about this ship. But it's I don't know. It seems 676 00:40:56,520 --> 00:40:59,399 Speaker 1: like everybody I know is looking at this and being 677 00:40:59,480 --> 00:41:03,120 Speaker 1: like still they're still talking about this ship, like just 678 00:41:04,640 --> 00:41:07,319 Speaker 1: anything to talk to, not talk about what's going on 679 00:41:07,360 --> 00:41:10,279 Speaker 1: in this country. I'm sure be ready to. Like it 680 00:41:10,360 --> 00:41:15,080 Speaker 1: looked like MSNBC just took a black suit vacation to London. Yeah, 681 00:41:15,239 --> 00:41:17,960 Speaker 1: the channel round the clocks, like Katie Turr or any 682 00:41:18,000 --> 00:41:20,799 Speaker 1: of the people just all block. Oh and then we're oh, 683 00:41:20,840 --> 00:41:23,640 Speaker 1: this is all moral, Oh, this is this is King 684 00:41:23,719 --> 00:41:27,400 Speaker 1: Charles acting like an absolute child, losing it over a 685 00:41:27,440 --> 00:41:31,640 Speaker 1: pen every bloody time, be stinking things shut. I don't 686 00:41:31,680 --> 00:41:34,600 Speaker 1: give a fuck. Is that? What do you say? Have 687 00:41:34,640 --> 00:41:36,399 Speaker 1: you seen that clip where he had the clip where 688 00:41:36,440 --> 00:41:40,279 Speaker 1: he like dusts it away, like no, he's signing, and 689 00:41:40,400 --> 00:41:43,319 Speaker 1: he's like getting so mad. He's like, I've said the 690 00:41:43,360 --> 00:41:47,240 Speaker 1: wrong date? Is it the twelfth of thirteen? I can't 691 00:41:47,719 --> 00:41:49,839 Speaker 1: it's hold on, I'm gonna pull it up because he's 692 00:41:50,320 --> 00:41:53,080 Speaker 1: he is very whiny about a pen, and then like 693 00:41:53,120 --> 00:41:55,000 Speaker 1: I guess he may have gotten like ink on his 694 00:41:55,080 --> 00:41:57,440 Speaker 1: hand and Camilla is like, oh no, hold on, I'll 695 00:41:57,480 --> 00:41:59,400 Speaker 1: play it to you, and like this is on CBS, 696 00:41:59,560 --> 00:42:02,239 Speaker 1: is like a Twitter account. They're like, check out him 697 00:42:02,239 --> 00:42:06,560 Speaker 1: signing this piece of paper. Oh god, it put the 698 00:42:06,600 --> 00:42:13,440 Speaker 1: wrong date down. She said, you signed the twelfth prilier. 699 00:42:17,320 --> 00:42:23,160 Speaker 1: It's the pen. It's going everywhere. And then people are 700 00:42:23,239 --> 00:42:26,920 Speaker 1: rushing in to take the pen from her and help 701 00:42:27,000 --> 00:42:29,960 Speaker 1: him wipe his hands, like somebody just walked into the 702 00:42:30,040 --> 00:42:35,200 Speaker 1: room with a revolver, Like there, did you hear that? What? 703 00:42:35,640 --> 00:42:45,760 Speaker 1: I can't bear this bloody thing? What they do everythink 704 00:42:45,840 --> 00:42:51,360 Speaker 1: he's talking about a fucking fountain pen. Shut the funk up, dude, 705 00:42:53,040 --> 00:42:58,359 Speaker 1: that's the bane of your fucking existence. This bloody thing. 706 00:42:58,640 --> 00:43:05,360 Speaker 1: I'm now the fun king everything time. Every can't bear 707 00:43:05,400 --> 00:43:11,440 Speaker 1: the bloody thing. It's hiring. Yeah, it's truly exhausting to witness, 708 00:43:11,760 --> 00:43:16,840 Speaker 1: and it's it. It is interesting to see the mainstream 709 00:43:16,880 --> 00:43:21,160 Speaker 1: media continue to just press and press and press and 710 00:43:21,200 --> 00:43:25,080 Speaker 1: like make, you know, pretend like we give a ship 711 00:43:25,360 --> 00:43:29,799 Speaker 1: and that. Look, I'm I'm going to continue to use 712 00:43:30,160 --> 00:43:32,319 Speaker 1: the fact that the queen died as an excuse to 713 00:43:32,360 --> 00:43:35,600 Speaker 1: cancel social engagements and like play dates for my kids 714 00:43:35,760 --> 00:43:38,840 Speaker 1: or like meetings that I miss at work. That's because 715 00:43:38,840 --> 00:43:41,520 Speaker 1: I'm a lazy and bad person and I'm not going 716 00:43:41,560 --> 00:43:45,120 Speaker 1: to sit here and pretend like this is not a 717 00:43:45,600 --> 00:43:48,920 Speaker 1: great excuse because the mainstream media has given us license 718 00:43:48,960 --> 00:43:53,040 Speaker 1: to do that. But I it just feels so I 719 00:43:53,760 --> 00:43:57,239 Speaker 1: feel like we this story is a new level of 720 00:43:57,280 --> 00:44:02,360 Speaker 1: like out of step with how people actually feel. Because 721 00:44:02,400 --> 00:44:05,239 Speaker 1: we have social media, we're able to at least have 722 00:44:05,800 --> 00:44:09,200 Speaker 1: other people we we can blooe and like see other 723 00:44:09,280 --> 00:44:12,799 Speaker 1: people booing, like hear other people doing like like the 724 00:44:12,840 --> 00:44:16,400 Speaker 1: young man that was arrested for calling Prince Andrew a 725 00:44:16,440 --> 00:44:19,400 Speaker 1: sick old man. Yeah, it's not just the accidents. When 726 00:44:19,400 --> 00:44:22,040 Speaker 1: the CNN reporters like and how devastated are you, and 727 00:44:22,080 --> 00:44:24,680 Speaker 1: the woman's like not at all. Sorry, I'm not into 728 00:44:24,920 --> 00:44:30,680 Speaker 1: fucking and that. Yeah, okay, fair point, moving them along. 729 00:44:31,040 --> 00:44:33,879 Speaker 1: But yeah, I know, I feel like maybe the news 730 00:44:33,920 --> 00:44:37,239 Speaker 1: anchors just they've been in Ukraine with their north face 731 00:44:37,360 --> 00:44:40,160 Speaker 1: fleeces on for like six months. Maybe they just wanted 732 00:44:40,160 --> 00:44:42,600 Speaker 1: to break put on their nice clothes for a little bit, 733 00:44:42,800 --> 00:44:46,720 Speaker 1: you know, they go back there. And the story about 734 00:44:47,160 --> 00:44:52,560 Speaker 1: Jeff Bezos quote tweeting CMU professor Carnegie melon which you know, 735 00:44:52,680 --> 00:44:56,480 Speaker 1: Carnegie Mellon is the name of the university, so professor 736 00:44:56,719 --> 00:44:59,920 Speaker 1: dr Ujuna who said she was glad the queen was 737 00:45:00,000 --> 00:45:04,320 Speaker 1: I hope she experienced pain, and Jeff Bezos quote tweeted 738 00:45:04,320 --> 00:45:06,640 Speaker 1: that and said, this is someone supposedly working to make 739 00:45:06,680 --> 00:45:13,640 Speaker 1: the world better. I don't think so. Wow, but it's 740 00:45:13,719 --> 00:45:15,680 Speaker 1: just because we don't have God. I don't think so. 741 00:45:16,680 --> 00:45:19,280 Speaker 1: I think this is the thing, right us not giving 742 00:45:19,280 --> 00:45:21,480 Speaker 1: a funk. I mean, look, it's one thing for us 743 00:45:21,520 --> 00:45:22,879 Speaker 1: to be in the United States not give a funk 744 00:45:22,880 --> 00:45:24,799 Speaker 1: about the queen. That's its own thing, but like for 745 00:45:24,840 --> 00:45:27,040 Speaker 1: most people to not give a funk, especially people from 746 00:45:27,040 --> 00:45:29,839 Speaker 1: like the Commonwealth and former colonies. It's like just an 747 00:45:29,840 --> 00:45:33,760 Speaker 1: acknowledgement that's like we don't have God's like we don't 748 00:45:33,800 --> 00:45:37,840 Speaker 1: think this is a God, this is well right or 749 00:45:37,880 --> 00:45:40,719 Speaker 1: whatever it is God's and kings these concepts that we 750 00:45:40,760 --> 00:45:44,560 Speaker 1: have people in positions that make them fucking untouchable or 751 00:45:44,560 --> 00:45:46,719 Speaker 1: that we would never dare to speak ill of them. 752 00:45:47,080 --> 00:45:50,080 Speaker 1: A lot of these other people think they are you know, 753 00:45:50,080 --> 00:45:53,560 Speaker 1: like Jeff Bezos does probably consider himself on some level 754 00:45:53,640 --> 00:45:56,279 Speaker 1: like this exalted person and it's probably holy rationalizes why 755 00:45:56,400 --> 00:46:00,200 Speaker 1: has so much money because I'm doing something great And 756 00:46:00,600 --> 00:46:02,719 Speaker 1: this is how they would talk, that's how you make 757 00:46:02,760 --> 00:46:05,440 Speaker 1: the world better. No, I make the world better because 758 00:46:05,440 --> 00:46:09,200 Speaker 1: I'm making a spaceship for three people, right that I 759 00:46:09,239 --> 00:46:12,200 Speaker 1: get to ride around on and go right, and it 760 00:46:12,200 --> 00:46:14,759 Speaker 1: would be it would be really like we talked about this. 761 00:46:14,840 --> 00:46:17,600 Speaker 1: I think maybe in the trending episode that the the 762 00:46:17,719 --> 00:46:20,040 Speaker 1: idea that they might not be able to control their 763 00:46:20,120 --> 00:46:23,439 Speaker 1: legacy in after death is probably one of the most 764 00:46:23,480 --> 00:46:26,120 Speaker 1: horrifying things, where they're like, are people gonna see walk 765 00:46:26,160 --> 00:46:29,600 Speaker 1: on my grave? Well, it's just like yeah, even in life, 766 00:46:29,640 --> 00:46:32,359 Speaker 1: Like I feel like he's feeling panicked because this is 767 00:46:32,440 --> 00:46:38,840 Speaker 1: the destabilization of the same unspoken rules that keep him 768 00:46:39,040 --> 00:46:43,680 Speaker 1: cause it it away from criticism, you know, like he 769 00:46:44,000 --> 00:46:47,960 Speaker 1: is someone who has accumulated immoral wealth and spends all 770 00:46:48,120 --> 00:46:52,719 Speaker 1: his time thinking of ways to protect that wealth by 771 00:46:53,200 --> 00:46:58,400 Speaker 1: maiming people without consequence for the purposes of like purely 772 00:46:58,719 --> 00:47:02,440 Speaker 1: greed and maintaining a power. So like anything that is 773 00:47:02,520 --> 00:47:05,920 Speaker 1: like chipping away at the armor of people just being 774 00:47:06,000 --> 00:47:10,880 Speaker 1: like it's to have some decency, folks. And even Carnegie 775 00:47:10,880 --> 00:47:14,799 Speaker 1: Mellon University came out like disavowed her tweet, which is 776 00:47:14,960 --> 00:47:19,120 Speaker 1: very fucking frustrating, Like this is supposed to be a 777 00:47:19,120 --> 00:47:23,400 Speaker 1: a institution of higher learning and instead they're like, we 778 00:47:23,960 --> 00:47:28,440 Speaker 1: we're all for personal expression, but for some reason not 779 00:47:28,600 --> 00:47:32,399 Speaker 1: in this case because Jeff Bezos called it out. Could 780 00:47:32,400 --> 00:47:34,880 Speaker 1: you imagine he's like, I might have to withhold that 781 00:47:35,040 --> 00:47:38,120 Speaker 1: endowment if you don't tweet something that makes me feel 782 00:47:38,120 --> 00:47:40,560 Speaker 1: good about my little spat I had with the person 783 00:47:40,600 --> 00:47:43,520 Speaker 1: who was correct. Yeah, but I think it's like many 784 00:47:43,520 --> 00:47:46,600 Speaker 1: other things, man, like we hold these we can't like 785 00:47:46,640 --> 00:47:51,360 Speaker 1: America can't reckon with its like fucking foundation of violent 786 00:47:51,400 --> 00:47:55,200 Speaker 1: colonization and slavery, Like we cannot fucking talk about that, 787 00:47:55,400 --> 00:47:59,480 Speaker 1: like plainly oh, you're extreme, and it's the same ship, 788 00:47:59,640 --> 00:48:03,680 Speaker 1: like they feel that some institutions are unassailable and to 789 00:48:03,960 --> 00:48:07,960 Speaker 1: begin to deconstruct that, I think is the first steps 790 00:48:08,000 --> 00:48:12,719 Speaker 1: to people unshackling themselves from these fucking fake gass histories 791 00:48:12,719 --> 00:48:15,640 Speaker 1: that we tell ourselves to be like fine with everything 792 00:48:15,680 --> 00:48:19,080 Speaker 1: that's happening. The number of enslaved people is growing currently, 793 00:48:19,600 --> 00:48:22,480 Speaker 1: like that, the United Nations head set a goal to 794 00:48:22,520 --> 00:48:28,880 Speaker 1: eradicate all modern slavery by between the number of people 795 00:48:29,200 --> 00:48:32,840 Speaker 1: enforced labor of forced marriage grew by ten million because 796 00:48:33,120 --> 00:48:37,520 Speaker 1: we were seeing increased inequality and because of climate change, 797 00:48:37,560 --> 00:48:42,200 Speaker 1: which is again caused mainly by massive corporations being not 798 00:48:42,360 --> 00:48:45,240 Speaker 1: held accountable, like the exact same ship that Jeff Bezos 799 00:48:45,600 --> 00:48:49,239 Speaker 1: is benefiting from and worried about when he decides he's 800 00:48:49,280 --> 00:48:52,440 Speaker 1: going to come down and you know, police the speech 801 00:48:52,719 --> 00:48:56,040 Speaker 1: of somebody around the death of the queen. Like that, 802 00:48:56,800 --> 00:48:59,200 Speaker 1: it makes a lot more sense, like once you kind 803 00:48:59,200 --> 00:49:02,520 Speaker 1: of think about it in the context, like capitalist power 804 00:49:02,600 --> 00:49:06,239 Speaker 1: isn't just enforced through human caging, although that is like 805 00:49:06,640 --> 00:49:10,400 Speaker 1: the main way it's enforced, but it's also through instilling 806 00:49:10,440 --> 00:49:15,600 Speaker 1: in us like values that make the monarchy or you know, 807 00:49:15,760 --> 00:49:21,360 Speaker 1: jeff Bezos or presidents seem decent and pleasant and you know, 808 00:49:21,480 --> 00:49:24,440 Speaker 1: speak to us when you when you internalize that ship, 809 00:49:24,520 --> 00:49:26,920 Speaker 1: it ends up speaking to you in your own thoughts, 810 00:49:26,920 --> 00:49:30,840 Speaker 1: like when you're when you're alone, you're like outnumbered because 811 00:49:31,320 --> 00:49:35,920 Speaker 1: these ideas have our things we've like grown grown up around. 812 00:49:36,200 --> 00:49:39,120 Speaker 1: They're they're like showing us beautiful images of this, like 813 00:49:39,239 --> 00:49:44,680 Speaker 1: polished jet taking off from Scotland, and like that's what 814 00:49:44,760 --> 00:49:48,680 Speaker 1: we associate with this old racist woman who was like, 815 00:49:49,040 --> 00:49:53,640 Speaker 1: you know, forcing enforcing a bunch of regressive values her 816 00:49:53,680 --> 00:49:56,759 Speaker 1: whole life. Right, I think that's the and I think 817 00:49:56,800 --> 00:49:58,560 Speaker 1: that's kind of part of it, right, is like we 818 00:49:59,560 --> 00:50:03,359 Speaker 1: for for like sort of capitalism and inequality to keep 819 00:50:03,400 --> 00:50:06,720 Speaker 1: moving at the speed that it does. More like regular 820 00:50:06,760 --> 00:50:10,080 Speaker 1: people can't look at someone with extreme wealth and see 821 00:50:10,160 --> 00:50:13,359 Speaker 1: that that's on the that that that's that's borne out 822 00:50:13,360 --> 00:50:15,879 Speaker 1: of a ton of suffering. That it's not just like 823 00:50:16,040 --> 00:50:19,680 Speaker 1: I'm so rich, Wow, it's I fucked over a lot 824 00:50:19,719 --> 00:50:22,600 Speaker 1: of people to get this ship. It's fucking ugly. And 825 00:50:22,640 --> 00:50:24,600 Speaker 1: I think that's the thing that's happening right now is 826 00:50:24,640 --> 00:50:27,120 Speaker 1: like so many people like you want to talk about 827 00:50:27,239 --> 00:50:31,960 Speaker 1: the fucking monarchy, right now and people like we just 828 00:50:32,000 --> 00:50:34,120 Speaker 1: like the Disney version where there's a king and a 829 00:50:34,239 --> 00:50:36,640 Speaker 1: queen and prince and princesses, and we don't we know 830 00:50:36,719 --> 00:50:40,560 Speaker 1: nothing of subjugated people or stolen land, and I think 831 00:50:40,840 --> 00:50:45,080 Speaker 1: to connect them so vividly is really fucking it's sucking 832 00:50:45,120 --> 00:50:47,280 Speaker 1: up people who want to hold on to this idea 833 00:50:47,360 --> 00:50:49,040 Speaker 1: that like it's just like, no, it's like this fine, 834 00:50:49,239 --> 00:50:51,960 Speaker 1: it's like it's a ceremonial or whatever. No it's not. 835 00:50:52,080 --> 00:50:56,120 Speaker 1: It's it's an institution that's responsible for untold suffering. That's 836 00:50:56,160 --> 00:50:58,600 Speaker 1: what it is. And I think that's we're trying to 837 00:50:58,640 --> 00:51:02,360 Speaker 1: avoid that conversation, just talking about how she loved Balmoral 838 00:51:02,840 --> 00:51:06,640 Speaker 1: where she could get away from the press, right. Yeah, 839 00:51:07,800 --> 00:51:10,320 Speaker 1: And it is regressive. I mean the values that she 840 00:51:10,440 --> 00:51:15,359 Speaker 1: represented are regressive. They're not progressive. They are like a 841 00:51:15,480 --> 00:51:20,040 Speaker 1: part of a really brutal, dark past. And for a 842 00:51:20,040 --> 00:51:24,879 Speaker 1: American university to come through and be like, yeah, we're 843 00:51:25,360 --> 00:51:28,439 Speaker 1: we think you should be a nicer, darker, it's it's 844 00:51:28,520 --> 00:51:33,239 Speaker 1: pretty wild. Yeah. Also, like it's not like Bujuanya was 845 00:51:33,320 --> 00:51:36,960 Speaker 1: like I'm just firing off a hot take. She's Nigerian, 846 00:51:37,480 --> 00:51:40,399 Speaker 1: you know anything about history? Like that's the other thing, 847 00:51:40,400 --> 00:51:43,280 Speaker 1: people that aren't connecting to all these people, like especially 848 00:51:43,280 --> 00:51:45,080 Speaker 1: on the day of the death, people like I can't 849 00:51:45,120 --> 00:51:47,879 Speaker 1: believe people from these like from the Commonwealth would say 850 00:51:47,880 --> 00:51:51,480 Speaker 1: something like this, like you really have no idea? Really? 851 00:51:51,920 --> 00:51:54,279 Speaker 1: All right, finally, let's talk about this new m T. 852 00:51:54,480 --> 00:51:58,520 Speaker 1: A poster that is literally going up in New York 853 00:51:58,560 --> 00:52:04,160 Speaker 1: subways is up already, so for context, there was a 854 00:52:04,200 --> 00:52:07,760 Speaker 1: poster that went up during the pandemic that was yellow 855 00:52:08,080 --> 00:52:11,560 Speaker 1: with like black kind of smiley face stick figures that 856 00:52:11,640 --> 00:52:14,000 Speaker 1: said how to wear a mask, cover your nose and mouth. 857 00:52:14,600 --> 00:52:17,480 Speaker 1: And the first one with somebody wearing it around their chin. Nope, 858 00:52:17,960 --> 00:52:20,520 Speaker 1: then somebody wearing it around there on their nose, not 859 00:52:20,680 --> 00:52:24,160 Speaker 1: covering their mouth, not quite mouth, not nose, try again, 860 00:52:24,440 --> 00:52:28,240 Speaker 1: and then showing somebody wearing it. Right, that's the one, fine, 861 00:52:28,400 --> 00:52:31,680 Speaker 1: like well designed poster. Now New York has put out 862 00:52:31,719 --> 00:52:35,960 Speaker 1: a poster that is the same thing, except now it 863 00:52:36,000 --> 00:52:40,400 Speaker 1: says masks are encouraged, but optional, And then it shows 864 00:52:40,440 --> 00:52:43,000 Speaker 1: the person wearing it correctly and it says yes. Then 865 00:52:43,000 --> 00:52:45,600 Speaker 1: it shows the person wearing it with their nose exposed, 866 00:52:45,680 --> 00:52:49,280 Speaker 1: and it says yes over the nose but not the mouth. 867 00:52:49,600 --> 00:52:52,880 Speaker 1: You do you, And then person without a mask on 868 00:52:52,960 --> 00:52:56,240 Speaker 1: it says yes, and then it says, let's respect each 869 00:52:56,239 --> 00:53:02,040 Speaker 1: other's choices. So it's the it's this is just diversity 870 00:53:02,080 --> 00:53:05,160 Speaker 1: of opinion. We have to have a nice wide diversity 871 00:53:05,160 --> 00:53:08,280 Speaker 1: of opinion. And if my opinion is that I should 872 00:53:08,320 --> 00:53:14,959 Speaker 1: be able to sneeze on your elderly immunocompromised relative with 873 00:53:15,040 --> 00:53:20,000 Speaker 1: my COVID germs, because I I feel like it, because 874 00:53:20,320 --> 00:53:24,600 Speaker 1: then like, hey, you do you? That's my choice, okay, 875 00:53:24,680 --> 00:53:27,600 Speaker 1: and my and and that's why it's you can't fucking 876 00:53:27,800 --> 00:53:29,799 Speaker 1: talk to me about it because it's my choice and 877 00:53:29,840 --> 00:53:32,440 Speaker 1: it doesn't affect anybody else because it's my choice. Oh wait, 878 00:53:32,480 --> 00:53:36,319 Speaker 1: it does affect other people. Oh yeah. M just it's 879 00:53:36,360 --> 00:53:39,319 Speaker 1: really it's weird to make a meme like out that's 880 00:53:39,360 --> 00:53:43,959 Speaker 1: announcing we don't give a funk anymore. Yeah, it really 881 00:53:43,960 --> 00:53:48,120 Speaker 1: seems it's a parody of their own like how they 882 00:53:48,160 --> 00:53:53,120 Speaker 1: felt during the pandemic, and it just it feels dangerous 883 00:53:53,160 --> 00:53:55,719 Speaker 1: like on for a number of reasons, just on a 884 00:53:55,880 --> 00:53:59,560 Speaker 1: very specific like health policy level, but it also feels 885 00:53:59,560 --> 00:54:03,000 Speaker 1: like it's in a category that we've talked about of 886 00:54:03,040 --> 00:54:07,480 Speaker 1: these stories where like the right wing kind of fascist 887 00:54:07,600 --> 00:54:11,080 Speaker 1: version of the story eventually wins out quietly in the 888 00:54:11,120 --> 00:54:14,000 Speaker 1: mainstream media. In terms of like how the mainstream media 889 00:54:14,080 --> 00:54:16,680 Speaker 1: and mainstream culture view it, I'd put it in the 890 00:54:16,719 --> 00:54:20,680 Speaker 1: category with like cops claiming that the protests of caused 891 00:54:20,719 --> 00:54:22,759 Speaker 1: the murder rate to go up, and the idea that 892 00:54:23,239 --> 00:54:27,480 Speaker 1: giving people money during the pandemic is causing inflation. It 893 00:54:27,520 --> 00:54:32,640 Speaker 1: seems like the mainstream media is to react to public 894 00:54:32,719 --> 00:54:37,279 Speaker 1: outrage and public opinion in the moment with like a 895 00:54:37,320 --> 00:54:41,040 Speaker 1: lot of energy, but then after the fact to like 896 00:54:41,160 --> 00:54:44,279 Speaker 1: sort of correct the record, after our attention has kind 897 00:54:44,320 --> 00:54:47,160 Speaker 1: of moved on and there's no longer the ground swell 898 00:54:47,480 --> 00:54:52,200 Speaker 1: of energy and emotion, right, Yeah, So, like they're they're 899 00:54:52,239 --> 00:54:54,759 Speaker 1: on board with criticizing the police while there's energy for it, 900 00:54:54,840 --> 00:54:58,239 Speaker 1: but then they come back and falsely reports statistics that 901 00:54:58,320 --> 00:55:02,080 Speaker 1: suggest criticizing the police this is causing people to murder. 902 00:55:02,840 --> 00:55:05,160 Speaker 1: People were that they're, Hey, that's what my buddy the 903 00:55:05,239 --> 00:55:08,919 Speaker 1: cop told me. Who's my white source for my crime reporting? Yeah, 904 00:55:10,040 --> 00:55:13,160 Speaker 1: it's the mask sign reminded me of I don't know 905 00:55:13,200 --> 00:55:15,880 Speaker 1: if either of you have ever been in a sheets 906 00:55:16,280 --> 00:55:20,799 Speaker 1: convenience store gas station. It's popular in the mid Atlantic 907 00:55:20,840 --> 00:55:24,919 Speaker 1: region Pennsylvania, Maryland, West Virginia, and North Carolina. So they're 908 00:55:24,960 --> 00:55:27,680 Speaker 1: like a pretty right wing kind of company. But in 909 00:55:27,719 --> 00:55:30,080 Speaker 1: the like first year of COVID, they had signs up 910 00:55:30,080 --> 00:55:34,440 Speaker 1: there like yeah, masks suck, but like, we're legally obligated 911 00:55:34,440 --> 00:55:36,000 Speaker 1: to tell you you have to put this on. It 912 00:55:36,120 --> 00:55:39,160 Speaker 1: was literally like we are if we don't do this, 913 00:55:39,160 --> 00:55:41,400 Speaker 1: we're gonna get sued. That was like the subtext that 914 00:55:41,520 --> 00:55:44,840 Speaker 1: they're messaging to ask people to wear masks in their stores. 915 00:55:46,160 --> 00:55:48,960 Speaker 1: Are they named after what they like to wear when 916 00:55:48,960 --> 00:55:55,440 Speaker 1: they go out riding on horses at night? Yeah, I 917 00:55:55,480 --> 00:55:59,400 Speaker 1: don't know it's and and so the story with these 918 00:55:59,560 --> 00:56:04,560 Speaker 1: with the subway in particular is that like the police 919 00:56:04,560 --> 00:56:10,760 Speaker 1: have never enforced mask mandates on the subway, and now 920 00:56:10,920 --> 00:56:14,279 Speaker 1: especially like the police have never worned their masks on 921 00:56:14,320 --> 00:56:18,439 Speaker 1: the subway. Like those signs that were being like, hey, 922 00:56:18,520 --> 00:56:22,120 Speaker 1: could you please wear your mask correctly were the closest 923 00:56:22,400 --> 00:56:26,840 Speaker 1: we had to like actual like policy being enforced because 924 00:56:26,840 --> 00:56:30,160 Speaker 1: the police did not when when there was a fine 925 00:56:30,200 --> 00:56:33,040 Speaker 1: associated with not wearing a mask, the police admitted they 926 00:56:33,160 --> 00:56:37,120 Speaker 1: issued very few, quote of of these fines, despite the 927 00:56:37,160 --> 00:56:40,160 Speaker 1: fact that more than one in ten riders were unmasked 928 00:56:40,200 --> 00:56:42,480 Speaker 1: at the height of the pandemic, and the cops were 929 00:56:42,560 --> 00:56:44,960 Speaker 1: usually the ones not wearing the mask. Yeah, that was 930 00:56:45,000 --> 00:56:47,000 Speaker 1: like the meme I felt like on New York Twitter 931 00:56:47,160 --> 00:56:50,560 Speaker 1: was like just people taking pictures of cops like maskless 932 00:56:50,560 --> 00:56:53,200 Speaker 1: even though they're like, hm, I thought the policy was different, fellas, 933 00:56:53,239 --> 00:56:56,799 Speaker 1: but they're, well, the mask mandates were not enforced. They 934 00:56:56,840 --> 00:57:02,520 Speaker 1: continue to aggressively target fair evasion. Good good, because you 935 00:57:02,560 --> 00:57:04,759 Speaker 1: know what, Jack, the m t A is losing so 936 00:57:04,880 --> 00:57:09,440 Speaker 1: much money from people's secually, it would be cheaper. It 937 00:57:09,480 --> 00:57:12,920 Speaker 1: would be cheaper if they didn't do that. Okay. It 938 00:57:12,960 --> 00:57:15,839 Speaker 1: was reported that the city wanted to spend two million 939 00:57:15,880 --> 00:57:21,040 Speaker 1: on cops to say two d million in fair evasion. Okay, 940 00:57:21,040 --> 00:57:24,440 Speaker 1: so you're spending fifty millions. How about this, pay me 941 00:57:24,560 --> 00:57:30,880 Speaker 1: fifty millions, Like yeah, it's like the the idea that 942 00:57:31,160 --> 00:57:34,040 Speaker 1: I think a lot of people believe that, like this 943 00:57:34,120 --> 00:57:37,960 Speaker 1: is all to try and like make things run more smoothly. 944 00:57:38,400 --> 00:57:41,240 Speaker 1: Like the the m t A is literally slowing down 945 00:57:41,320 --> 00:57:44,920 Speaker 1: service in order to fight fair invaders by not opening 946 00:57:45,000 --> 00:57:49,840 Speaker 1: rear bus doors. So it's they're they're making everything less 947 00:57:49,880 --> 00:57:54,160 Speaker 1: efficient in order to fight poor people and you know, 948 00:57:54,280 --> 00:57:57,840 Speaker 1: basically make it easier to cage poor people. And I'm sure, yeah, 949 00:57:58,120 --> 00:58:00,320 Speaker 1: I mean obviously, like you're talking about how they're wing 950 00:58:00,520 --> 00:58:03,160 Speaker 1: version or like perspective on the story wins out. I mean, 951 00:58:03,160 --> 00:58:06,000 Speaker 1: it's always whatever is best for capital, right, you know, 952 00:58:06,120 --> 00:58:09,240 Speaker 1: because if if we are going to still talk about masks, 953 00:58:09,280 --> 00:58:11,200 Speaker 1: then we still have to have, you know, good faith 954 00:58:11,240 --> 00:58:14,040 Speaker 1: discussions on people who need support if they're not able 955 00:58:14,080 --> 00:58:17,160 Speaker 1: to work or if they are immuno compromised and shouldn't 956 00:58:17,400 --> 00:58:20,919 Speaker 1: expose themselves to something that could like terribly wreck their health. 957 00:58:21,200 --> 00:58:23,000 Speaker 1: And we would have to have that because if we 958 00:58:23,040 --> 00:58:25,760 Speaker 1: give a funk about mass, then we need to continue 959 00:58:25,800 --> 00:58:29,480 Speaker 1: that momentum. If we're like, not's all good, then you're 960 00:58:29,520 --> 00:58:31,760 Speaker 1: already operating from a position if someone says, well what 961 00:58:31,800 --> 00:58:33,640 Speaker 1: about this, like well, it's all good, you don't gotta worry, 962 00:58:33,640 --> 00:58:35,400 Speaker 1: it's all good, Like it's up to you. It's really 963 00:58:35,440 --> 00:58:37,160 Speaker 1: up to you. It's really up to you. It's up 964 00:58:37,200 --> 00:58:40,480 Speaker 1: to you. And it's every single time it's just sort 965 00:58:40,480 --> 00:58:43,880 Speaker 1: of like, well, what about diversity, equity and inclusion. They're like, 966 00:58:43,920 --> 00:58:47,280 Speaker 1: we said that up until like September, and then y'all 967 00:58:47,320 --> 00:58:49,440 Speaker 1: moved on the World Series or some sh it happened, 968 00:58:49,680 --> 00:58:52,120 Speaker 1: and then we got to fucking slither back into our 969 00:58:52,160 --> 00:58:55,120 Speaker 1: cave holes and act like nothing was happening, because it is, 970 00:58:55,160 --> 00:58:57,720 Speaker 1: like you're saying, the energy is like you're driving a 971 00:58:57,720 --> 00:59:00,000 Speaker 1: car and everyone's like we want to go to mcdonne 972 00:59:00,000 --> 00:59:02,240 Speaker 1: annals or like we want minimum wage. You're like, all right, 973 00:59:02,280 --> 00:59:04,880 Speaker 1: I'll put the car in that direction. Everyone's like yeah 974 00:59:05,960 --> 00:59:08,840 Speaker 1: they asleep, all right, We're going back to fucking home depot. 975 00:59:08,920 --> 00:59:13,160 Speaker 1: Like that's sort of the ebb and flow of these, uh, 976 00:59:13,200 --> 00:59:16,160 Speaker 1: these moments in our culture. But yeah, it's makes you 977 00:59:16,280 --> 00:59:19,280 Speaker 1: making distance disheartening England. It's it's just like like we're 978 00:59:19,280 --> 00:59:23,120 Speaker 1: reducing the risks of the pandemic and already talking about 979 00:59:23,120 --> 00:59:26,920 Speaker 1: how many people are having like suffering from long COVID 980 00:59:27,000 --> 00:59:30,280 Speaker 1: and how that's actually a dimension of the labor force 981 00:59:30,360 --> 00:59:33,800 Speaker 1: diminishing because of people suffering long COVID. But we're still 982 00:59:33,800 --> 00:59:37,760 Speaker 1: in you do you yeah, like phase yeah, you do 983 00:59:37,800 --> 00:59:41,640 Speaker 1: you well? And also like the like people are still 984 00:59:41,640 --> 00:59:45,000 Speaker 1: confounded by like why there's no one to fill open 985 00:59:45,160 --> 00:59:49,240 Speaker 1: jobs like hello, you know, it's like oh yeah, it's 986 00:59:49,280 --> 00:59:52,680 Speaker 1: like sort of like amnesia between like not connecting these 987 00:59:52,720 --> 00:59:55,800 Speaker 1: stories together. It's I don't know why there's nobody to 988 00:59:55,880 --> 01:00:00,920 Speaker 1: work because of the great resignation. Everybody they could do better, 989 01:00:01,160 --> 01:00:06,400 Speaker 1: But as this street Journal story proves, they're all sorry. 990 01:00:06,320 --> 01:00:09,640 Speaker 1: Yeah yeah, there's so many yeah, the quiet quitting war 991 01:00:09,840 --> 01:00:14,240 Speaker 1: that there's more articles keep coming back that are like 992 01:00:15,080 --> 01:00:21,280 Speaker 1: employer clap backs. You think it's like, wow, okay, okay, 993 01:00:21,680 --> 01:00:24,880 Speaker 1: this will be an ongoing story. I'm sure. I feel 994 01:00:24,880 --> 01:00:27,760 Speaker 1: like company towns are coming, like they're gonna, they're gonna. 995 01:00:27,880 --> 01:00:30,200 Speaker 1: They've got so much power at this point in the 996 01:00:30,280 --> 01:00:34,080 Speaker 1: United States that's already kind of getting near that. Yeah, 997 01:00:34,600 --> 01:00:37,400 Speaker 1: yeah there, But I think they'll probably become more and 998 01:00:37,400 --> 01:00:40,840 Speaker 1: more popular because they just get the benefit of the 999 01:00:40,880 --> 01:00:45,080 Speaker 1: doubt way too easily in the mainstream media. Jenna on 1000 01:00:45,200 --> 01:00:48,240 Speaker 1: that late note, it's been such a pleasure having you. 1001 01:00:48,280 --> 01:00:51,480 Speaker 1: Where can people find you? Follow you all that good stuff? Yeah, 1002 01:00:51,520 --> 01:00:56,000 Speaker 1: So I'm on Twitter at Jenna Spanelli. My podcast is 1003 01:00:56,080 --> 01:01:00,240 Speaker 1: When the People Decide at The People Decide Pod, and 1004 01:01:00,320 --> 01:01:03,919 Speaker 1: I work for the McCartney Institute for Democracy at Penn 1005 01:01:03,920 --> 01:01:07,440 Speaker 1: State Democracy dot PSU dot e d U nice And 1006 01:01:07,560 --> 01:01:09,280 Speaker 1: is there a tweet or some of the work of 1007 01:01:09,360 --> 01:01:12,960 Speaker 1: social media you've been enjoying. Yeah, so to take us 1008 01:01:13,120 --> 01:01:15,760 Speaker 1: all the way back to where we started talking about planes. 1009 01:01:16,440 --> 01:01:20,440 Speaker 1: Have you all seen the thread about the bulldog with 1010 01:01:20,560 --> 01:01:29,120 Speaker 1: diarrhea on the running So I was wondering if I 1011 01:01:29,200 --> 01:01:31,400 Speaker 1: might be a day a daily eight and dollar short 1012 01:01:31,440 --> 01:01:35,200 Speaker 1: on that one. But that and I also I'll shout 1013 01:01:35,200 --> 01:01:38,920 Speaker 1: out a newsletter I've been enjoying lately called snack Stack. 1014 01:01:39,040 --> 01:01:42,760 Speaker 1: It's written by a writer that I know in Minnesota 1015 01:01:43,240 --> 01:01:46,720 Speaker 1: named Doug mac. He goes like real deep on the 1016 01:01:46,800 --> 01:01:52,280 Speaker 1: history of snack foods like toaster strudles and those like peanuts, 1017 01:01:52,720 --> 01:01:55,400 Speaker 1: things like candy, peanuts, all kinds of stuff. I'm not 1018 01:01:55,560 --> 01:01:58,760 Speaker 1: really doing him justice, but it is fascinating. If you're 1019 01:01:58,760 --> 01:02:01,040 Speaker 1: looking for a new rabbit hole, go down check out 1020 01:02:01,400 --> 01:02:05,200 Speaker 1: the snack Stack newsletter. Okay, Miles work can be able 1021 01:02:05,200 --> 01:02:07,280 Speaker 1: to find you. What's the tweet you've been enjoying? Man? 1022 01:02:07,400 --> 01:02:09,880 Speaker 1: Find me on Twitter and Instagram at Miles of Gray. 1023 01:02:09,960 --> 01:02:12,480 Speaker 1: If you like basketball, check us out on Miles and 1024 01:02:12,560 --> 01:02:16,800 Speaker 1: Jack Got Mad. Moostie is the official NBA podcast. Also, 1025 01:02:16,880 --> 01:02:19,040 Speaker 1: if you like ninety day Fiance, come check out my 1026 01:02:19,240 --> 01:02:23,760 Speaker 1: unofficial podcasts called four twenty Day Fiance with Sophie Alexander, 1027 01:02:23,800 --> 01:02:25,640 Speaker 1: you know what time it is. It's lowed in there. 1028 01:02:26,000 --> 01:02:28,960 Speaker 1: Um Now, some tweets are like, I like a couple good, 1029 01:02:29,040 --> 01:02:32,360 Speaker 1: A couple of videos on TikTok are hitting good. First 1030 01:02:32,360 --> 01:02:35,680 Speaker 1: one is from like a lot of people are showing 1031 01:02:36,160 --> 01:02:40,360 Speaker 1: reactions of like little girls watching the Little Mermaid trailer. 1032 01:02:40,800 --> 01:02:44,000 Speaker 1: This one is like amazing, is this that's white girl? 1033 01:02:44,240 --> 01:02:46,600 Speaker 1: The white girls watching? But what she says at the 1034 01:02:46,760 --> 01:02:49,280 Speaker 1: end is just fantastic. I'll play the end. So she's 1035 01:02:49,320 --> 01:02:52,720 Speaker 1: watching the whole teaser and she's just saying that fantastic 1036 01:02:52,760 --> 01:02:54,200 Speaker 1: line and then she's about to look at the camera 1037 01:02:54,240 --> 01:03:09,440 Speaker 1: to react at her mom. Jesus, was it gives me? 1038 01:03:09,600 --> 01:03:18,400 Speaker 1: Or was that with Whitney Houston? Is it just me? Yeah? 1039 01:03:18,400 --> 01:03:19,920 Speaker 1: I mean the way she was hitting those lines, I 1040 01:03:19,920 --> 01:03:21,560 Speaker 1: wouldn't be mad at you. And then this other one 1041 01:03:21,800 --> 01:03:24,400 Speaker 1: is from at only zans. But he it's this guy, 1042 01:03:24,600 --> 01:03:28,160 Speaker 1: this guy who's like watching domino videos on TikTok, and 1043 01:03:28,200 --> 01:03:30,840 Speaker 1: he's responding to them by like just saying what his 1044 01:03:30,880 --> 01:03:34,480 Speaker 1: emotional state is as he watches the dominoes and it's 1045 01:03:34,520 --> 01:03:38,520 Speaker 1: somehow as only Zans describes it, he described every feeling 1046 01:03:38,560 --> 01:03:41,680 Speaker 1: I have like I was having at the exact same points. 1047 01:03:41,920 --> 01:03:44,200 Speaker 1: So this is him watching a little dominoes that go around. 1048 01:03:44,720 --> 01:03:51,040 Speaker 1: Please hurry, Oh, I've seen this, swow. I want to 1049 01:03:51,080 --> 01:03:54,840 Speaker 1: see someone else. It's so interesting. Doesn't happen in the 1050 01:03:54,880 --> 01:04:03,880 Speaker 1: next two seconds? What's this? I swears to go. The 1051 01:04:04,040 --> 01:04:06,680 Speaker 1: video has two minutes and the whole thing is just like, 1052 01:04:07,480 --> 01:04:11,800 Speaker 1: come on, single lanes and he doesn't even know anything 1053 01:04:11,840 --> 01:04:14,760 Speaker 1: about don't like everything, just like, what are these? But 1054 01:04:15,320 --> 01:04:18,560 Speaker 1: it's just it's on point and uh yeah, fantastic video. 1055 01:04:19,560 --> 01:04:21,560 Speaker 1: All right. You can find me on Twitter at Jack 1056 01:04:21,640 --> 01:04:25,240 Speaker 1: Underscore O'Brien on Miles and Jack I met Boost. These 1057 01:04:25,280 --> 01:04:28,800 Speaker 1: the dumbest NBA podcast that is officially made with the NBA, 1058 01:04:28,920 --> 01:04:32,920 Speaker 1: maybe the dumbest NBA podcast period were there was a 1059 01:04:32,920 --> 01:04:37,760 Speaker 1: tweet somebody today years old tweet I was today years 1060 01:04:37,760 --> 01:04:40,280 Speaker 1: old when I found out, tweeted, just now finding out 1061 01:04:40,280 --> 01:04:43,200 Speaker 1: that rabbits can swim. Also learned their ears going to 1062 01:04:43,360 --> 01:04:45,960 Speaker 1: swim mode when they do. This is news. And then 1063 01:04:46,000 --> 01:04:48,400 Speaker 1: a video of a rabbit swimming and yeah, their their 1064 01:04:48,440 --> 01:04:51,040 Speaker 1: ears like kind of tucked back against their body. And 1065 01:04:51,080 --> 01:04:54,320 Speaker 1: then SI tweeted, I asked my husband if he knows 1066 01:04:54,400 --> 01:04:57,600 Speaker 1: rabbits can swim and he casually says, yeah, President Jimmy 1067 01:04:57,640 --> 01:05:00,520 Speaker 1: Carter was attacked by a giant swimming ra abbit. I'm 1068 01:05:00,520 --> 01:05:04,200 Speaker 1: sorry what And that is a true fact that you 1069 01:05:04,200 --> 01:05:08,240 Speaker 1: should go look up the story. Jimmy Carter had had 1070 01:05:08,240 --> 01:05:11,160 Speaker 1: a very strange well, first of all, he believes that 1071 01:05:11,240 --> 01:05:15,400 Speaker 1: he has encountered extraterrestrial life and like says that, but 1072 01:05:15,520 --> 01:05:18,600 Speaker 1: also he had a very strange encounter with a swamp 1073 01:05:18,720 --> 01:05:21,919 Speaker 1: rabbit that was massive and swam up to his boat 1074 01:05:21,960 --> 01:05:24,800 Speaker 1: while he was out, like canoeing, tried to attack him. 1075 01:05:25,360 --> 01:05:30,080 Speaker 1: True King Jim Carter, and then Simon Sheer tweeted, I 1076 01:05:30,080 --> 01:05:33,640 Speaker 1: guess there's an M plus one article on Barbara arm 1077 01:05:33,720 --> 01:05:37,960 Speaker 1: Reich and tweeted a quote from her. To engage in 1078 01:05:38,000 --> 01:05:41,520 Speaker 1: political struggle is not just frightening. Frightening, it is painful 1079 01:05:41,680 --> 01:05:44,840 Speaker 1: because power is not just out there, It is also 1080 01:05:44,960 --> 01:05:48,520 Speaker 1: a voice in your own head. Should quote I was 1081 01:05:48,560 --> 01:05:51,840 Speaker 1: thinking of when I was asking myself, why the fuck 1082 01:05:52,240 --> 01:05:57,600 Speaker 1: this NonStop Queen Queen's death coverage? So anyways, so you 1083 01:05:57,640 --> 01:06:00,360 Speaker 1: can find us on Twitter at Daily sike Iist. We're 1084 01:06:00,360 --> 01:06:02,880 Speaker 1: at the Daily Ezegeist. On Instagram, we have a Facebook 1085 01:06:02,880 --> 01:06:05,400 Speaker 1: fam page and a website Daily zeitgeist dot com, where 1086 01:06:05,400 --> 01:06:08,800 Speaker 1: we post our episodes. On our foot note, we link 1087 01:06:08,800 --> 01:06:11,200 Speaker 1: offs the information that we talked about in today's episode 1088 01:06:11,200 --> 01:06:13,400 Speaker 1: as well as a song that we think you might enjoy. 1089 01:06:13,720 --> 01:06:15,720 Speaker 1: When as a song do we think people might enjoy it? 1090 01:06:15,960 --> 01:06:19,080 Speaker 1: I think we're gonna enjoy. The new Steve Lacey album 1091 01:06:19,200 --> 01:06:22,640 Speaker 1: is fantastic. Do you know about him? Is fantastic guitar player, producer. 1092 01:06:23,520 --> 01:06:26,880 Speaker 1: This is a track off there called Mercury, and he's 1093 01:06:26,920 --> 01:06:30,720 Speaker 1: like such a versatile artist, Like you know, he obviously 1094 01:06:30,920 --> 01:06:33,560 Speaker 1: just killing like soul, R and B guitar lists and stuff, 1095 01:06:33,560 --> 01:06:36,040 Speaker 1: but this is like a little more Latin browbacky and 1096 01:06:36,120 --> 01:06:38,280 Speaker 1: he does it really well, but with a modern twist. 1097 01:06:38,280 --> 01:06:41,480 Speaker 1: So this is Mercury. By stay all right, we'll go 1098 01:06:41,600 --> 01:06:43,640 Speaker 1: listen to that. The Daily zey Geis is a production 1099 01:06:43,680 --> 01:06:45,840 Speaker 1: to by Heart Radio. For more podcast for my heart Radio, 1100 01:06:45,960 --> 01:06:49,200 Speaker 1: visit the heart Radio app, Apple podcast wherever you listen 1101 01:06:49,160 --> 01:06:50,960 Speaker 1: to your favorite shows. That's gonna do it for us 1102 01:06:51,000 --> 01:06:53,200 Speaker 1: this morning, back this afternoon to tell you what is 1103 01:06:53,240 --> 01:06:55,840 Speaker 1: trending and talk all that by