1 00:00:00,200 --> 00:00:03,199 Speaker 1: Hello the Internet, and welcome to season fifty seven, Episode 2 00:00:03,200 --> 00:00:06,120 Speaker 1: two of Dear Daily's eight guyst the podcast where we 3 00:00:06,200 --> 00:00:09,680 Speaker 1: take a deep avenue America's share consciousness using the headlines, 4 00:00:09,760 --> 00:00:13,000 Speaker 1: box office reports, TV ratings, what's training on Google? And 5 00:00:13,119 --> 00:00:17,600 Speaker 1: social meds. Uh. It's Tuesday, November two, eighteen. My name 6 00:00:17,640 --> 00:00:20,639 Speaker 1: is Jack O'Brien AKA, and I think it's gonna be 7 00:00:20,920 --> 00:00:24,960 Speaker 1: a long long time to touchdown. Brings me around again 8 00:00:25,040 --> 00:00:28,440 Speaker 1: to find I'm not the man they think I am 9 00:00:28,520 --> 00:00:36,400 Speaker 1: at home. Oh no, no, no, I am Jack O'Brien uh. 10 00:00:36,600 --> 00:00:40,480 Speaker 1: Courtesy of Felix O'Shea, and I'm thrilled to be joined 11 00:00:40,600 --> 00:00:45,320 Speaker 1: as always by my co host, Mr Miles Gray. And 12 00:00:45,400 --> 00:00:49,479 Speaker 1: you may find yourself listening to a daily podcast, and 13 00:00:49,560 --> 00:00:52,840 Speaker 1: you may find yourself dropping hot takes of your own, 14 00:00:53,240 --> 00:00:56,280 Speaker 1: and you may find yourself sitting behind the mic on 15 00:00:56,320 --> 00:00:59,720 Speaker 1: a large wooden disk, and you might ask yourself, well, 16 00:00:59,800 --> 00:01:09,480 Speaker 1: how did I get here? Time Part takes Floating Underground. 17 00:01:10,440 --> 00:01:14,080 Speaker 1: Thank you Hannah Soultis for doing that a game with 18 00:01:14,480 --> 00:01:16,679 Speaker 1: the to the tune of hashtag, And thank you to 19 00:01:16,680 --> 00:01:20,720 Speaker 1: everybody for clarifying because yes, we don't know all songs 20 00:01:20,840 --> 00:01:22,959 Speaker 1: and we're pretty stupid over here. So thank you for 21 00:01:23,040 --> 00:01:25,000 Speaker 1: that one. I think you would have gotten that one 22 00:01:25,040 --> 00:01:28,080 Speaker 1: without the Yeah right, I actually love that song. And 23 00:01:28,160 --> 00:01:30,000 Speaker 1: the whole time I was actually singing that, I was 24 00:01:30,040 --> 00:01:32,560 Speaker 1: doing the little arm chop that Mr Burne does in 25 00:01:32,600 --> 00:01:35,319 Speaker 1: the video. Yeah, I hadn't seen the video. Oh it's 26 00:01:35,840 --> 00:01:39,480 Speaker 1: it's like what chops his own arm? Like yeah, it's 27 00:01:39,480 --> 00:01:42,440 Speaker 1: like he's cut it like if you know, I can't chop. 28 00:01:42,600 --> 00:01:45,720 Speaker 1: It's a light it's more of like a not quite 29 00:01:45,720 --> 00:01:49,040 Speaker 1: a Jim Acosta chop, but a lighter chop that speak. 30 00:01:49,400 --> 00:01:59,559 Speaker 1: Oh she's back. It's little damn ok the slut fermentat 31 00:02:00,200 --> 00:02:03,200 Speaker 1: what's up? What's up Jamie Loft, Let's what's up there? 32 00:02:03,800 --> 00:02:07,360 Speaker 1: Let's what's up? Network? I'm I'm good. I'm back on Twitter, 33 00:02:07,840 --> 00:02:11,600 Speaker 1: thanks to your and God, thank you. Yeah, I'll which, 34 00:02:11,600 --> 00:02:14,040 Speaker 1: I'll get to It's good to be. I thought I 35 00:02:14,120 --> 00:02:15,760 Speaker 1: thought I didn't have to go to work today, and 36 00:02:15,760 --> 00:02:17,800 Speaker 1: then I got a text at nine am was like 37 00:02:18,280 --> 00:02:20,440 Speaker 1: where are you? We're all here and we're doing hard. 38 00:02:20,480 --> 00:02:24,120 Speaker 1: I was like, okay, see it one o'clock. Oh you're okay. 39 00:02:24,320 --> 00:02:28,960 Speaker 1: Oh yeah, life comes at you thought you were off 40 00:02:28,960 --> 00:02:32,880 Speaker 1: for Veterans Day. I Yeah, yeah I was, and I 41 00:02:32,919 --> 00:02:35,920 Speaker 1: was dead wrong. Yeah, but you know, hey, look what 42 00:02:36,000 --> 00:02:39,520 Speaker 1: can you do? What can you do? Not go your 43 00:02:39,600 --> 00:02:43,920 Speaker 1: national treasure, dude, Let them deal with it. Honoring Doc, 44 00:02:43,960 --> 00:02:46,120 Speaker 1: Doc who I looked at to find out if he 45 00:02:46,240 --> 00:02:49,359 Speaker 1: was a veteran and he was, Okay, dot Co was 46 00:02:49,360 --> 00:02:51,280 Speaker 1: a veteran. Did you know he served? He did? Didn't? 47 00:02:52,919 --> 00:02:54,400 Speaker 1: All right, Jamie, we're going to get to know you 48 00:02:54,400 --> 00:02:56,040 Speaker 1: a little bit better. But first we're going to take 49 00:02:56,040 --> 00:02:59,320 Speaker 1: our listeners through what we're talking about today. We're talking 50 00:03:00,280 --> 00:03:03,760 Speaker 1: Stanley R. I P. We're talking New York City's pink 51 00:03:03,800 --> 00:03:08,720 Speaker 1: tacks for female commuters. We're talking about the fires over 52 00:03:08,720 --> 00:03:12,720 Speaker 1: the weekend and how even that managed to get co 53 00:03:12,800 --> 00:03:15,280 Speaker 1: opted in the culture wars. We're going to talk about 54 00:03:15,680 --> 00:03:22,480 Speaker 1: that amazing disappearing caravan, how Republicans are starting to get 55 00:03:22,520 --> 00:03:25,320 Speaker 1: an idea of what happened to the midterms, toy story 56 00:03:25,440 --> 00:03:31,240 Speaker 1: for the Teaser, and Papa John's is back in legal trouble. 57 00:03:31,840 --> 00:03:34,600 Speaker 1: But first, Jamie, what is something from your search history 58 00:03:34,600 --> 00:03:38,360 Speaker 1: that is revealing about who you are? ARIANA Grande fingering sweatshirt, 59 00:03:39,640 --> 00:03:42,360 Speaker 1: which I did end up buying. I knew it existed. 60 00:03:42,560 --> 00:03:44,240 Speaker 1: There's that part. Have you both seen the God as 61 00:03:44,240 --> 00:03:47,880 Speaker 1: a Woman music video? Okay, we don't watch music videos. 62 00:03:47,920 --> 00:03:50,280 Speaker 1: It turns out, is that Can I order that on 63 00:03:50,360 --> 00:03:54,160 Speaker 1: the box? Do you what the TV channel where you 64 00:03:54,160 --> 00:03:57,000 Speaker 1: you you request the music videos by phone? You can 65 00:03:57,080 --> 00:03:59,440 Speaker 1: absolutely order it on the box because the last time 66 00:03:59,480 --> 00:04:03,040 Speaker 1: I was watching videos, okay, they're so okay. So she's 67 00:04:03,120 --> 00:04:09,360 Speaker 1: fingering a sweatshirt. She's wears to get fingered and explaining 68 00:04:09,400 --> 00:04:12,560 Speaker 1: it to my uncle's okay. So the Ariana Grande finger 69 00:04:12,600 --> 00:04:14,880 Speaker 1: and sweatshirt is a moment in the God is a 70 00:04:14,920 --> 00:04:19,840 Speaker 1: Woman music video where Ariana Grande fingers the Earth, presumably 71 00:04:19,880 --> 00:04:23,520 Speaker 1: causing a Category five hurricane. But she fingers the earth. 72 00:04:23,640 --> 00:04:26,480 Speaker 1: She's straddling the earth and then she gently fingers it. 73 00:04:26,800 --> 00:04:28,240 Speaker 1: And I was like, oh, that's got to be on 74 00:04:28,279 --> 00:04:30,320 Speaker 1: a shirt, and and it is, and it's in the 75 00:04:30,360 --> 00:04:32,720 Speaker 1: official store and I paid a lot of money. It's 76 00:04:32,760 --> 00:04:36,440 Speaker 1: an image of her fingering the Earth on a sweatshirt. Yeah, yeah, 77 00:04:37,320 --> 00:04:43,520 Speaker 1: Rana Grande fingering auto comple Earth. And then you can 78 00:04:43,520 --> 00:04:46,120 Speaker 1: get it on a little crew neck. Like how what 79 00:04:46,279 --> 00:04:51,400 Speaker 1: is the style of she's Oh yo, she's it's very essential, 80 00:04:51,600 --> 00:04:54,640 Speaker 1: but also like kind of that is textbook finger popping. 81 00:04:54,839 --> 00:04:57,520 Speaker 1: Oh yeah, she's fingering the earth. So and she really 82 00:04:57,560 --> 00:05:00,680 Speaker 1: does create a hurricane. It looks like she does. Yeah, yeah, 83 00:05:00,720 --> 00:05:03,520 Speaker 1: she's I mean, she understands climate changeing with some people, 84 00:05:04,279 --> 00:05:06,680 Speaker 1: and she's owning her part in it, her carbon footprint. 85 00:05:08,320 --> 00:05:12,480 Speaker 1: Finger Actually, so I had to look that up in 86 00:05:12,600 --> 00:05:15,920 Speaker 1: order to purchase it as quickly as possible. And that's merch, 87 00:05:16,040 --> 00:05:19,840 Speaker 1: she says. Is it called like earth finger hoodie or something? Oh, 88 00:05:19,880 --> 00:05:24,600 Speaker 1: it's something called like Ariana finger sweatshirt. Oh, it's that. Literally, 89 00:05:24,680 --> 00:05:26,320 Speaker 1: they're not even trying to be like coy about it. 90 00:05:26,960 --> 00:05:30,280 Speaker 1: She's a she's a straight shooter reading so it's pretty overt. 91 00:05:30,400 --> 00:05:32,880 Speaker 1: It seems like she's this is what she's doing. That 92 00:05:32,960 --> 00:05:36,320 Speaker 1: whole music video I highly recommend because she there's a 93 00:05:36,360 --> 00:05:39,559 Speaker 1: point where it stops and Ariana Grand speaks to God 94 00:05:39,680 --> 00:05:42,360 Speaker 1: and God is the voice of Madonna and there's like 95 00:05:42,480 --> 00:05:48,320 Speaker 1: a million screaming gophers. It's crazy. Yeah, but yeah, I 96 00:05:48,320 --> 00:05:50,719 Speaker 1: can't wait too And just to reiterate, that is on 97 00:05:50,800 --> 00:05:54,400 Speaker 1: the box. It's on the box. The box is that 98 00:05:54,440 --> 00:05:56,240 Speaker 1: I gotta figure out what channel that is. Hopefully that's 99 00:05:56,240 --> 00:05:59,359 Speaker 1: still around that would be really disappointed isn't that the 100 00:05:59,360 --> 00:06:02,760 Speaker 1: metaphor that you as an American pie for what Vagina 101 00:06:02,800 --> 00:06:06,000 Speaker 1: feels like is straddling the earth and putting your fingers 102 00:06:06,520 --> 00:06:13,599 Speaker 1: causing a hurricane in the North Atlantic causing her All right, Jamie, 103 00:06:13,600 --> 00:06:16,600 Speaker 1: what is something that's overrated? Okay? Overrated? I saw this 104 00:06:16,600 --> 00:06:17,960 Speaker 1: this morning and I was like, I love it, And 105 00:06:18,000 --> 00:06:19,679 Speaker 1: then a second later I was like, wait a second, 106 00:06:19,680 --> 00:06:22,640 Speaker 1: I've been tricked and I hate it. As a picture 107 00:06:22,880 --> 00:06:28,960 Speaker 1: of Snoop, the picture of Snoop and Aspiral the Dragon drone, 108 00:06:29,320 --> 00:06:31,480 Speaker 1: I thought I loved it. I thought maybe a couple 109 00:06:31,560 --> 00:06:34,880 Speaker 1: of the winter season. Then I realized that I've been 110 00:06:34,920 --> 00:06:39,800 Speaker 1: tricked by late capitalism again. And Snoop Dogg partnerships are 111 00:06:39,800 --> 00:06:44,080 Speaker 1: are distraction created by the government. Wait, what what's the 112 00:06:44,200 --> 00:06:46,280 Speaker 1: deal with him and the Inspiral of the Dragon. They 113 00:06:46,400 --> 00:06:51,160 Speaker 1: just like rebooted old Spiral games, And so they're just like, hey, Snoop, 114 00:06:51,160 --> 00:06:52,960 Speaker 1: do you want to stand next to Spiral? He did 115 00:06:53,000 --> 00:06:54,800 Speaker 1: a bunch of commercials I think he might have done 116 00:06:54,839 --> 00:06:57,960 Speaker 1: like a voice And now there's all these like cursed 117 00:06:58,000 --> 00:07:01,159 Speaker 1: images of Snoop Dogg and various Spiral the Dragon merch 118 00:07:01,600 --> 00:07:04,080 Speaker 1: not my least favorite pair up that is always going 119 00:07:04,120 --> 00:07:08,560 Speaker 1: to go to Nick Cannon and radio shop. They can 120 00:07:08,560 --> 00:07:11,360 Speaker 1: to do with radio talk about two dying brands. It 121 00:07:11,480 --> 00:07:13,320 Speaker 1: really is like the kind of they found each other, 122 00:07:13,440 --> 00:07:17,080 Speaker 1: much like Mike's Hard Lemonade and Deadpool too. I love 123 00:07:17,120 --> 00:07:19,600 Speaker 1: a good I love a good bad pairing. But I 124 00:07:20,040 --> 00:07:22,800 Speaker 1: think that my prediction as the Snoop and Spiro Drone 125 00:07:22,800 --> 00:07:25,280 Speaker 1: are going to get more attention than they deserve, and 126 00:07:25,720 --> 00:07:27,800 Speaker 1: I'm over it. I feel like I definitely saw some 127 00:07:27,880 --> 00:07:31,000 Speaker 1: kind of write up with Snoop and Spiro Dragon in 128 00:07:31,040 --> 00:07:33,360 Speaker 1: the headline. I was like, you can only do that 129 00:07:33,480 --> 00:07:35,920 Speaker 1: so many times? You're gonna do Snoop and Martha. He's like, no, 130 00:07:36,040 --> 00:07:38,560 Speaker 1: but what if it's now a cartoon Dragon. It's like 131 00:07:38,600 --> 00:07:41,680 Speaker 1: you can't just keep having random I mean, you know 132 00:07:41,720 --> 00:07:44,400 Speaker 1: Snoop knows his brand. He's always good as in a collap, 133 00:07:44,720 --> 00:07:48,679 Speaker 1: you know what I mean. Or Farrell or Nate Dog 134 00:07:48,800 --> 00:07:50,640 Speaker 1: or Martha Stewart or Spiral, you know what I mean. 135 00:07:50,840 --> 00:07:54,000 Speaker 1: I just googled Snoop dogg Spiro the Dragon and the 136 00:07:54,040 --> 00:07:57,240 Speaker 1: top headline was Snoop Dog is bff's with Spiro the 137 00:07:57,320 --> 00:08:04,680 Speaker 1: Dragon and their friendship is so pure, so Late Capitalism Suicide. 138 00:08:05,360 --> 00:08:08,840 Speaker 1: Who developed? Wasn't that an IDOS game? Damn it? I 139 00:08:08,960 --> 00:08:10,840 Speaker 1: that was the for a long time, the only video 140 00:08:10,880 --> 00:08:14,840 Speaker 1: game I've ever played. Oh really yeah, Ripto's rage You 141 00:08:14,920 --> 00:08:17,960 Speaker 1: beat like this, This tiny little showed at the end 142 00:08:18,200 --> 00:08:20,760 Speaker 1: and he's like, man, I don't like you, and then 143 00:08:20,800 --> 00:08:25,720 Speaker 1: you feed him with your Dragon's fantastic. That's basically how 144 00:08:25,760 --> 00:08:31,440 Speaker 1: it gets fantastic fantastic. What is something you think is underrated? Oh? 145 00:08:31,560 --> 00:08:34,960 Speaker 1: A track on the A Star is Born soundtrack on 146 00:08:35,080 --> 00:08:38,840 Speaker 1: iTunes that is exactly seven seconds long. It's still costs 147 00:08:38,840 --> 00:08:41,240 Speaker 1: a dollar twenty nine like any other track, but it's 148 00:08:41,280 --> 00:08:45,120 Speaker 1: just Alec Balbin saying ladies and gentlemen, Ali, And it 149 00:08:45,200 --> 00:08:52,400 Speaker 1: costs a dollar and cents. It is underrated, und I 150 00:08:52,440 --> 00:08:55,080 Speaker 1: think that we should be paying? Did you did you 151 00:08:55,120 --> 00:08:57,920 Speaker 1: just ball out and buy it? Yeah? You have the 152 00:08:57,920 --> 00:09:01,360 Speaker 1: physical disc I had. I mean, I've It's embarrassing how 153 00:09:01,440 --> 00:09:03,640 Speaker 1: much I've listened to it, and I do own a 154 00:09:03,760 --> 00:09:07,280 Speaker 1: physical copy of the soundtrack because you have to buy 155 00:09:07,280 --> 00:09:09,920 Speaker 1: a physical copy of the soundtrack to get official merge 156 00:09:09,960 --> 00:09:12,720 Speaker 1: from the official store, which I did. Are you serious? Yeah? 157 00:09:13,000 --> 00:09:15,560 Speaker 1: So it's behind a fucking paywall in the form of 158 00:09:15,559 --> 00:09:21,400 Speaker 1: buying the soundtrack. Yes, it's good. Arianna does the same ship. 159 00:09:21,520 --> 00:09:24,120 Speaker 1: I couldn't this like the new norm? Yeah, because they 160 00:09:24,120 --> 00:09:26,960 Speaker 1: it's so hard to move physical copies that you gotta 161 00:09:27,000 --> 00:09:30,480 Speaker 1: get c D a digital purchase and then you can 162 00:09:30,520 --> 00:09:33,480 Speaker 1: get your fingering sweatshirts. So it just says the rates 163 00:09:33,520 --> 00:09:36,720 Speaker 1: go away. Yeah, look at you, your financial ruin. I 164 00:09:36,760 --> 00:09:38,120 Speaker 1: know I'm not gonna be able to pay my rent, 165 00:09:38,120 --> 00:09:40,199 Speaker 1: but at least I'll have my Ariana finger sweatshirts to 166 00:09:40,480 --> 00:09:42,280 Speaker 1: keep me warm. And you have that track that says 167 00:09:42,400 --> 00:09:46,559 Speaker 1: ladies and gentlemen. Whatever did you tweet about something? Didn't 168 00:09:46,559 --> 00:09:49,120 Speaker 1: you tweet something about a song that you really liked 169 00:09:49,160 --> 00:09:51,240 Speaker 1: about with Bradley Cooper? And I was like, I didn't 170 00:09:51,280 --> 00:09:52,520 Speaker 1: understand what it was. And I was like, what is 171 00:09:52,559 --> 00:09:57,640 Speaker 1: this folly even talking about an absolutely not my favorite 172 00:09:58,200 --> 00:10:02,320 Speaker 1: song in h in the entire movie is the opening song. 173 00:10:02,360 --> 00:10:05,800 Speaker 1: I think it's much slept on. It's Bradley Bradley Cooper, 174 00:10:05,960 --> 00:10:15,240 Speaker 1: Bradley Whitford just shredding. It's Bradley Cooper saying a couple 175 00:10:15,240 --> 00:10:18,400 Speaker 1: of unintelligible words and then he hits the chorus and 176 00:10:18,400 --> 00:10:22,680 Speaker 1: it's boosa and like and then he says it twelve 177 00:10:22,720 --> 00:10:24,480 Speaker 1: times in a row, and then the song is over. 178 00:10:24,840 --> 00:10:27,520 Speaker 1: Oh is it the one that opens the movie where 179 00:10:27,520 --> 00:10:31,400 Speaker 1: it's just like riffing. Yeah, he can kind of play 180 00:10:32,000 --> 00:10:34,560 Speaker 1: sounds a little bit like the Bulls Entrance music, like 181 00:10:34,600 --> 00:10:38,240 Speaker 1: old school like it's got that sort of like yeah, yeah, 182 00:10:38,360 --> 00:10:40,280 Speaker 1: like a little bit, it's got like a little like 183 00:10:40,800 --> 00:10:43,319 Speaker 1: and then he's you know, his character is an alcoholics. 184 00:10:43,440 --> 00:10:45,400 Speaker 1: You can't understand a word that comes out of his 185 00:10:47,280 --> 00:10:52,280 Speaker 1: and you're like, whoa, that's great. That song is cool. 186 00:10:52,400 --> 00:10:54,560 Speaker 1: My blood pressure just yeah, look at you. That's when 187 00:10:54,600 --> 00:10:56,920 Speaker 1: I walked into the theater and I knew a star 188 00:10:57,080 --> 00:10:59,559 Speaker 1: was to be born. You're like, oh, I'm like, we 189 00:11:00,000 --> 00:11:05,720 Speaker 1: all of a sudden, Okay, we did it. An I 190 00:11:05,760 --> 00:11:09,200 Speaker 1: don't think Bradley Cooper is I think if Lady Gaga 191 00:11:09,280 --> 00:11:13,120 Speaker 1: isn't nominated, the Ghost of Judy Garland's going to come back. 192 00:11:13,280 --> 00:11:19,800 Speaker 1: And you didn't think Bradley Cooper was good. I thought 193 00:11:19,480 --> 00:11:25,040 Speaker 1: I think Cooper was so into being in the movie. 194 00:11:25,640 --> 00:11:27,520 Speaker 1: I asked my mom yesterday. I was like, you know, 195 00:11:27,640 --> 00:11:29,440 Speaker 1: she votes in the Golden Globe, Like, so, what's like 196 00:11:29,480 --> 00:11:32,040 Speaker 1: the what's the buzz around? She's like, not that this 197 00:11:32,120 --> 00:11:33,640 Speaker 1: was her take, but a sense she's like, I been 198 00:11:33,640 --> 00:11:36,480 Speaker 1: a real ship year for movies in the sense that 199 00:11:36,520 --> 00:11:38,640 Speaker 1: like it wasn't a clear thing like last year seemed 200 00:11:38,679 --> 00:11:41,000 Speaker 1: very congested. At this point, we're like, wow, there's a 201 00:11:41,040 --> 00:11:43,760 Speaker 1: lot of movies that better people are talking about and 202 00:11:43,840 --> 00:11:45,240 Speaker 1: right now I was like kind of like, yeah, what 203 00:11:45,520 --> 00:11:46,840 Speaker 1: what are we talking about? And I was like what 204 00:11:46,840 --> 00:11:51,640 Speaker 1: about Stars Born? She was like no, She's like maybe 205 00:11:51,640 --> 00:11:54,079 Speaker 1: for that other Award show. And I was like, damn. 206 00:11:55,440 --> 00:11:58,480 Speaker 1: I mean, well, I had high hopes for Bohemian Rhapsody, 207 00:11:58,640 --> 00:12:01,840 Speaker 1: but boy, what a sting key. Also that I didn't 208 00:12:01,880 --> 00:12:04,520 Speaker 1: realize that the director, oh god, what's his name? He's 209 00:12:04,520 --> 00:12:10,880 Speaker 1: a molester. No, he's a Molesteraan singer, Yeah, oh yeah, 210 00:12:10,920 --> 00:12:12,840 Speaker 1: that's why he got kicked off the movie and it 211 00:12:12,920 --> 00:12:15,480 Speaker 1: was finished by the guy who we just found out 212 00:12:15,920 --> 00:12:18,880 Speaker 1: is going to go on to direct Rocket Man Okay, 213 00:12:19,360 --> 00:12:24,880 Speaker 1: Jack O'Brien j Up Coming Out, and John which which 214 00:12:24,920 --> 00:12:29,240 Speaker 1: looks just as bad as Bohemian Rapsody. Know, people start 215 00:12:29,280 --> 00:12:34,080 Speaker 1: floating at one point that one's more comedic though, so 216 00:12:34,120 --> 00:12:36,040 Speaker 1: it's a little different, I hope. So, I mean, I 217 00:12:36,120 --> 00:12:39,040 Speaker 1: love Rammy Malick and some fake teeth as much as 218 00:12:39,080 --> 00:12:41,600 Speaker 1: the next person. But who boy. People were saying his 219 00:12:41,640 --> 00:12:44,560 Speaker 1: teeth could have been bigger. They were the teeth should 220 00:12:44,600 --> 00:12:47,120 Speaker 1: have been bigger. My man to be Freddy. I love 221 00:12:47,320 --> 00:12:49,800 Speaker 1: Ramy Malick. He he looks like a little he's got 222 00:12:49,920 --> 00:12:53,160 Speaker 1: bug eyes. He went to my high school. Oh my god. 223 00:12:53,400 --> 00:12:57,040 Speaker 1: Ramy and Sammy has twins, ram and sam the ram 224 00:12:57,040 --> 00:12:59,719 Speaker 1: Man sam Man. I read they were popular in high 225 00:12:59,760 --> 00:13:02,520 Speaker 1: schoo Well, they graduated a year before I entered. But like, 226 00:13:02,559 --> 00:13:05,200 Speaker 1: I have friends whose older siblings are like, like, I 227 00:13:05,240 --> 00:13:07,720 Speaker 1: go through my Instagram, like, oh wow, look, yeah, but 228 00:13:07,800 --> 00:13:10,640 Speaker 1: it's weird. You showed me one of the pictures because 229 00:13:10,640 --> 00:13:13,319 Speaker 1: that was looks was to me, and I was like, 230 00:13:13,360 --> 00:13:15,560 Speaker 1: what the fund because he just looks like a dude. 231 00:13:15,720 --> 00:13:18,640 Speaker 1: Like he doesn't look like an artist or anything. It 232 00:13:18,720 --> 00:13:20,560 Speaker 1: just looks like a dude who's like at a party. 233 00:13:20,720 --> 00:13:23,640 Speaker 1: There's pictures you'll see of him, like the paparazzi get 234 00:13:23,760 --> 00:13:26,080 Speaker 1: or like him with fans and he's like, I'm you know, 235 00:13:26,120 --> 00:13:30,520 Speaker 1: Elliott Alderson, robot Man Robot And then other times you 236 00:13:30,520 --> 00:13:33,400 Speaker 1: see him with his friends and you're like, he's like, yeah, 237 00:13:33,440 --> 00:13:38,400 Speaker 1: he's just gotta be like normal. Banana Republic gear on, 238 00:13:39,120 --> 00:13:44,120 Speaker 1: uh not the countries like that political situation, right, all right, 239 00:13:45,040 --> 00:13:47,359 Speaker 1: I'm glad we spent a lot of time on that. 240 00:13:49,360 --> 00:13:51,160 Speaker 1: Oh that is where that starts. That that part of 241 00:13:51,200 --> 00:13:53,520 Speaker 1: the movie, in my memory, is like one of the 242 00:13:53,559 --> 00:13:57,760 Speaker 1: worst parts. When she's like, that's where it starts in 243 00:13:57,760 --> 00:14:00,320 Speaker 1: her career. And that's where Sam Elliott shows up at 244 00:14:00,400 --> 00:14:02,880 Speaker 1: SNL and he's he's like, we were like, is he 245 00:14:02,920 --> 00:14:08,440 Speaker 1: a p A on SNL? He shows that, He's like, hey, check, 246 00:14:08,559 --> 00:14:10,480 Speaker 1: I was like, do you work here? Like what are 247 00:14:10,520 --> 00:14:13,520 Speaker 1: you doing? I don't know. Sam Elliott just gets show 248 00:14:13,600 --> 00:14:18,840 Speaker 1: up where everyone's it's true, no questions, just materializes he's 249 00:14:18,880 --> 00:14:21,680 Speaker 1: behind you right now? What is a myth? What's something 250 00:14:22,200 --> 00:14:24,600 Speaker 1: people think it's true? You know, to be evolved a 251 00:14:24,600 --> 00:14:27,360 Speaker 1: little peek behind the curtain plan. This is a transition 252 00:14:27,400 --> 00:14:30,440 Speaker 1: into the first She's not the best in the business 253 00:14:30,440 --> 00:14:33,200 Speaker 1: for nothing. Way to communicate that to the audience. Listen. 254 00:14:33,240 --> 00:14:37,880 Speaker 1: I believe in full transparency and second rate podcasts. I okay, 255 00:14:37,920 --> 00:14:41,280 Speaker 1: this is a take that may not age well, and 256 00:14:42,520 --> 00:14:47,200 Speaker 1: it is about age. I feel that and I mean 257 00:14:47,240 --> 00:14:54,960 Speaker 1: this with um say, okay, I've got people kind of strong, 258 00:14:56,520 --> 00:15:00,720 Speaker 1: We've all got grandmas and grandpas, and that's fair. I 259 00:15:00,800 --> 00:15:05,480 Speaker 1: do think it is not totally horrible to make fun 260 00:15:05,560 --> 00:15:10,000 Speaker 1: of really old people who die of natural causes when 261 00:15:10,040 --> 00:15:15,440 Speaker 1: they die. I hope this isn't a bad take yourself 262 00:15:15,840 --> 00:15:20,800 Speaker 1: a stronger in the planning process. Strong I did when 263 00:15:20,880 --> 00:15:26,000 Speaker 1: I say old people are asking for it. Yeah, he 264 00:15:26,080 --> 00:15:30,120 Speaker 1: had it all. I don't know. I think being of 265 00:15:30,240 --> 00:15:35,200 Speaker 1: things that don't age well, Stanley, Yeah, that's the sort 266 00:15:35,200 --> 00:15:40,920 Speaker 1: of thing to the roast of Stanley. Yeah, I get well. 267 00:15:41,000 --> 00:15:43,480 Speaker 1: I also like want to say I understand, like I 268 00:15:43,920 --> 00:15:48,080 Speaker 1: find like elder abuse stories very disturbing and horrible. And 269 00:15:48,120 --> 00:15:52,240 Speaker 1: there's like all these older celebrities who die Stanley, Harperly, uh, 270 00:15:52,760 --> 00:15:55,720 Speaker 1: especially Brucely. But what I meant to say was Mickey Rooney, 271 00:15:56,120 --> 00:16:00,520 Speaker 1: Uh you also, yeah, just to keep it going, like 272 00:16:00,560 --> 00:16:03,160 Speaker 1: there's all these horrible cases of elder sounds like that 273 00:16:03,240 --> 00:16:06,400 Speaker 1: Lee family is just really fucked stand and harper It 274 00:16:06,440 --> 00:16:08,400 Speaker 1: seems like they just have a lot of a lot 275 00:16:08,400 --> 00:16:12,520 Speaker 1: of grubby kids. Um. Yeah, it's pretty terrible, but it's 276 00:16:12,520 --> 00:16:14,720 Speaker 1: okay to make fun of someone when they die of 277 00:16:14,760 --> 00:16:18,640 Speaker 1: being old. I would hope when I die, I think 278 00:16:18,720 --> 00:16:22,720 Speaker 1: you're probably the first person to be reach fifty years old, 279 00:16:22,840 --> 00:16:25,080 Speaker 1: it'll be impossible to get rid of me. And then 280 00:16:25,120 --> 00:16:27,120 Speaker 1: when they do, people will be I hope that there's 281 00:16:27,200 --> 00:16:30,840 Speaker 1: just a massive exhale across the And what if you 282 00:16:30,920 --> 00:16:35,080 Speaker 1: die of old age at that I was like, Or 283 00:16:35,080 --> 00:16:37,720 Speaker 1: what if I died like in two years? That would 284 00:16:37,720 --> 00:16:40,520 Speaker 1: be also crazy? Um, and then you would listen back 285 00:16:40,520 --> 00:16:43,040 Speaker 1: to this vile and you feel so bad. I personally 286 00:16:43,160 --> 00:16:46,000 Speaker 1: feel like we don't necessarily I kind of agree with 287 00:16:46,040 --> 00:16:49,320 Speaker 1: this take because you know, this is what I aspired to. 288 00:16:49,400 --> 00:16:51,360 Speaker 1: I aspire to die of old age, Like I don't. 289 00:16:51,400 --> 00:16:53,560 Speaker 1: I don't want to die of the best way to 290 00:16:53,680 --> 00:16:57,480 Speaker 1: die at of old age? Like hell, yeah, take me 291 00:16:57,560 --> 00:16:59,880 Speaker 1: that way I want to. I say, I'm so ten 292 00:17:00,040 --> 00:17:03,520 Speaker 1: to be like Stanley was asking for it because he was, 293 00:17:04,640 --> 00:17:09,520 Speaker 1: but I just can't handle the fallout and probably getting 294 00:17:09,800 --> 00:17:13,399 Speaker 1: from Yeah, it's funny. My grandma lived to be a 295 00:17:13,520 --> 00:17:17,680 Speaker 1: hundred one about And it's one of those things too, 296 00:17:17,720 --> 00:17:19,840 Speaker 1: like you know, anyone who's had a really old relative 297 00:17:20,080 --> 00:17:22,679 Speaker 1: like live that long at a certain point, like you 298 00:17:22,680 --> 00:17:25,399 Speaker 1: get into those years or like damn, like you're at 299 00:17:25,440 --> 00:17:28,640 Speaker 1: that point where you're so old you might you might 300 00:17:28,680 --> 00:17:30,840 Speaker 1: have already died to me anyway, Like you know, like 301 00:17:30,840 --> 00:17:33,000 Speaker 1: I don't know, it's much easier to feel like you 302 00:17:33,119 --> 00:17:36,200 Speaker 1: passed away and you accept You're like, oh, now you're 303 00:17:36,240 --> 00:17:38,800 Speaker 1: at that age where you could just pass away from 304 00:17:38,880 --> 00:17:42,320 Speaker 1: natural causes, and I've made peace because you've lived a 305 00:17:42,359 --> 00:17:44,280 Speaker 1: great life and you can look at your family and 306 00:17:44,280 --> 00:17:47,560 Speaker 1: you're like threshold of like okay, cool. Like my grandpa's 307 00:17:47,560 --> 00:17:50,679 Speaker 1: in his late eighties and he'll like say, he's like, 308 00:17:50,840 --> 00:17:56,840 Speaker 1: I'm good. I'm He's like, right, He's like, if it happens, chill, 309 00:17:59,480 --> 00:18:04,080 Speaker 1: I'll be a h He's like he's convinced that, Like 310 00:18:04,200 --> 00:18:06,280 Speaker 1: he's because he's okay with dying. He's not going to 311 00:18:06,400 --> 00:18:09,240 Speaker 1: So maybe it's a defense mechanism, right, But I feel 312 00:18:09,240 --> 00:18:11,280 Speaker 1: like there is a threshold where I don't know, if 313 00:18:11,280 --> 00:18:14,320 Speaker 1: I was eighty nine, i was, I'd be like, you 314 00:18:14,359 --> 00:18:18,119 Speaker 1: know what, what's it's It's good. I'm good. And I 315 00:18:18,160 --> 00:18:20,560 Speaker 1: mean there's not a whole lot that needs to be 316 00:18:20,600 --> 00:18:24,000 Speaker 1: said about his legacy, right, I mean he invented all 317 00:18:24,040 --> 00:18:28,000 Speaker 1: the best superheroes, like funk of this guy. I think 318 00:18:28,440 --> 00:18:31,000 Speaker 1: when when when Jackie first like, yeah, he passed away, 319 00:18:31,000 --> 00:18:34,199 Speaker 1: I was like, and then I was like damn, but 320 00:18:34,240 --> 00:18:36,960 Speaker 1: when Yeah, I mean really realistically, this guy, Yeah, he 321 00:18:37,000 --> 00:18:42,440 Speaker 1: created like every superhero it's worth a ship. Veteran. Yeah, 322 00:18:42,520 --> 00:18:44,840 Speaker 1: and and many of the characters you love, I mean, 323 00:18:44,880 --> 00:18:47,240 Speaker 1: without which you might not have Doc Cock, Alfred Molina. 324 00:18:48,320 --> 00:18:49,920 Speaker 1: Think of what you owe him. In that sense, we 325 00:18:49,960 --> 00:18:53,399 Speaker 1: can thank Stanley for revitalizing out for Molly. And I 326 00:18:53,400 --> 00:18:56,000 Speaker 1: don't know much about his like inner workings, but it 327 00:18:56,000 --> 00:18:58,080 Speaker 1: seemed like all of his characters usually had a very 328 00:18:58,160 --> 00:19:00,520 Speaker 1: good message for people, or at least he was coming 329 00:19:00,560 --> 00:19:03,119 Speaker 1: from a place that he was trying to create characters 330 00:19:03,160 --> 00:19:08,840 Speaker 1: that were reflective of people's situations or life's and things life. Yeah, yeah, 331 00:19:08,880 --> 00:19:10,240 Speaker 1: I mean he was in mal Rats and that was 332 00:19:10,280 --> 00:19:12,280 Speaker 1: the first time I saw him in personally, like, yeah, 333 00:19:12,359 --> 00:19:18,120 Speaker 1: there's Jason Lee's dad. And just to mention, he did 334 00:19:18,160 --> 00:19:22,760 Speaker 1: pass on Veterans Day yesterday. And he was a veteran 335 00:19:23,400 --> 00:19:26,000 Speaker 1: of World War Two, which I'm always impressed by. If 336 00:19:26,000 --> 00:19:27,960 Speaker 1: you ever read like stories of World War two and 337 00:19:27,960 --> 00:19:30,040 Speaker 1: it's like, yeah, every other plan that took off just 338 00:19:30,160 --> 00:19:33,920 Speaker 1: crashed into the ocean. It's like, you're it's insane to 339 00:19:34,000 --> 00:19:37,119 Speaker 1: have lived through World War two, like and fought in 340 00:19:37,240 --> 00:19:39,280 Speaker 1: World War two. And then when he's done, he's like, 341 00:19:39,320 --> 00:19:41,159 Speaker 1: you know what, I'm going to make stories about a 342 00:19:41,240 --> 00:19:46,080 Speaker 1: boy who was spied. Well, ship, I guess you earned it. 343 00:19:46,840 --> 00:19:49,200 Speaker 1: You got some perspective. You're like, damn, man, I saw 344 00:19:49,200 --> 00:19:51,880 Speaker 1: how fucking transient life can be. Yeah, yeah, yeah, I'm 345 00:19:51,920 --> 00:19:53,880 Speaker 1: not working around. I have these stories. I was telling 346 00:19:53,920 --> 00:19:56,480 Speaker 1: everybody back in World War Two. I was like, what 347 00:19:56,560 --> 00:20:02,119 Speaker 1: if a boy was bit shut the corporally shut up? 348 00:20:04,000 --> 00:20:06,399 Speaker 1: You've seen people die in front of him. But he's like, 349 00:20:06,680 --> 00:20:10,399 Speaker 1: what if it was spider? You're like, damn, you know 350 00:20:10,440 --> 00:20:15,320 Speaker 1: you're built for something else. Stand Oh, definitely, let's talk 351 00:20:15,320 --> 00:20:20,239 Speaker 1: about the pink techs for women commuters. Interesting, Yeah, this 352 00:20:20,320 --> 00:20:22,760 Speaker 1: is really interesting. Well, there was, Yes, I was perusing 353 00:20:22,800 --> 00:20:25,840 Speaker 1: the usual news outlets and there was a survey that 354 00:20:25,880 --> 00:20:29,040 Speaker 1: had emerged about women who were commuting in New York 355 00:20:29,080 --> 00:20:33,080 Speaker 1: City and how they spend anywhere from twenty five dollars 356 00:20:33,119 --> 00:20:36,440 Speaker 1: more a month than their male counterparts to specifically avoid 357 00:20:36,840 --> 00:20:41,680 Speaker 1: encounters with gross men um and harassment. And so according 358 00:20:41,680 --> 00:20:43,800 Speaker 1: to the survey, there's some of the stats they came 359 00:20:43,880 --> 00:20:46,280 Speaker 1: up with, and I'll there are some caveats that up. 360 00:20:46,320 --> 00:20:47,800 Speaker 1: We'll have you keep in mind when I after I 361 00:20:47,840 --> 00:20:50,600 Speaker 1: read these. But seventy percent of female respondent said they 362 00:20:50,600 --> 00:20:53,679 Speaker 1: had experienced harassment or theft on public transportation, compared with 363 00:20:53,720 --> 00:20:56,760 Speaker 1: forty seven percent of men. UM, and they responded differently. 364 00:20:57,440 --> 00:20:59,560 Speaker 1: Of women said they don't take public transportation late at 365 00:20:59,600 --> 00:21:03,000 Speaker 1: night because of it, compared with eight percent of male respondents. Uh. 366 00:21:03,040 --> 00:21:06,480 Speaker 1: And they spent differently as well, where of women said 367 00:21:06,480 --> 00:21:09,960 Speaker 1: they felt safest taking four higher vehicles like uber left 368 00:21:10,400 --> 00:21:13,960 Speaker 1: uh and just fIF said they felt best on public transit. 369 00:21:14,320 --> 00:21:16,280 Speaker 1: And you know a few things to keep in mind 370 00:21:16,320 --> 00:21:19,560 Speaker 1: about this survey. It was done online, and even they 371 00:21:19,600 --> 00:21:21,320 Speaker 1: themselves a people who did this servey, they're like, our 372 00:21:21,560 --> 00:21:24,280 Speaker 1: results are a little lopsided because more than like I 373 00:21:24,280 --> 00:21:27,280 Speaker 1: think seven year eight percent or college educated people and 374 00:21:27,359 --> 00:21:31,479 Speaker 1: a lot of them were upper West Side people, so red, whiter, 375 00:21:31,720 --> 00:21:34,280 Speaker 1: richer than normal, which and they know that, but they're 376 00:21:34,320 --> 00:21:36,200 Speaker 1: still saying, which begs the question, even for the people 377 00:21:36,240 --> 00:21:38,560 Speaker 1: who did the survey, what of those people who don't 378 00:21:38,560 --> 00:21:42,879 Speaker 1: have the flexibility or the access to alternative modes of transportation? 379 00:21:43,240 --> 00:21:45,879 Speaker 1: You know, what, what are their lives like? And you 380 00:21:45,880 --> 00:21:49,040 Speaker 1: know what what can the city do to improve this? 381 00:21:49,119 --> 00:21:52,320 Speaker 1: So you know, UH, women are putting the place to 382 00:21:52,359 --> 00:21:56,680 Speaker 1: have to overspend to avoid toxic male culture on the streets. 383 00:21:57,000 --> 00:21:59,920 Speaker 1: Oh man, I mean as one of the only last 384 00:22:00,040 --> 00:22:05,359 Speaker 1: Angeles uh commuters who does not own a car. Uh yeah. 385 00:22:05,400 --> 00:22:08,080 Speaker 1: I mean I've never lived in New York, but I've 386 00:22:08,119 --> 00:22:10,960 Speaker 1: lived in Boston, n l A. And there reaches a 387 00:22:10,960 --> 00:22:14,040 Speaker 1: witching hour where you, especially if you're alone, you just 388 00:22:14,080 --> 00:22:16,800 Speaker 1: like can't be on the train by yourself, or if 389 00:22:16,880 --> 00:22:19,600 Speaker 1: you are which like I've been in the position where 390 00:22:19,600 --> 00:22:22,080 Speaker 1: I like couldn't afford an uber or like you have 391 00:22:22,160 --> 00:22:25,720 Speaker 1: to just be careful and make sure you don't fall 392 00:22:25,800 --> 00:22:29,200 Speaker 1: asleep or like have your card down. Or My thing 393 00:22:29,280 --> 00:22:31,480 Speaker 1: was always like I don't want to be the only 394 00:22:31,520 --> 00:22:33,959 Speaker 1: person in a train car with one other person and 395 00:22:34,000 --> 00:22:36,159 Speaker 1: it's usually a man, and if it's late at night, 396 00:22:36,200 --> 00:22:37,960 Speaker 1: you just don't know if you're alone in a car. 397 00:22:38,440 --> 00:22:40,919 Speaker 1: So sometimes it would be either that I would like 398 00:22:41,119 --> 00:22:45,200 Speaker 1: hop cars to find other people, or I mean there's 399 00:22:45,240 --> 00:22:47,639 Speaker 1: all sorts of like shitty strategies you have to employ 400 00:22:47,720 --> 00:22:53,680 Speaker 1: to feel less nervous after a certain time. Usually um yeah, 401 00:22:53,760 --> 00:22:57,520 Speaker 1: in Japan, they have like women only train cars because 402 00:22:57,560 --> 00:23:00,119 Speaker 1: like there's a lot of you know, kung as. They 403 00:23:00,160 --> 00:23:02,600 Speaker 1: call it in Japanese of just perverts who like, you know, 404 00:23:03,320 --> 00:23:06,160 Speaker 1: grow women on the train and then yeah, rush because 405 00:23:06,280 --> 00:23:09,320 Speaker 1: people pack the trains. They'll have cars that are just 406 00:23:09,359 --> 00:23:12,359 Speaker 1: for women or like women with their kids, just so 407 00:23:12,400 --> 00:23:14,040 Speaker 1: they're not they don't have to deal with like any 408 00:23:14,040 --> 00:23:16,400 Speaker 1: possibility of that. And like in the people who are 409 00:23:16,480 --> 00:23:18,280 Speaker 1: behind this survey were also saying, you know, there are 410 00:23:18,280 --> 00:23:21,760 Speaker 1: many things that any transportation or public transit system can do, 411 00:23:21,840 --> 00:23:25,560 Speaker 1: like having more staff be visible in areas so like 412 00:23:25,600 --> 00:23:28,719 Speaker 1: people feel more protected, or training staff to understand like 413 00:23:28,800 --> 00:23:31,080 Speaker 1: how to deal with this kind of thing, or even 414 00:23:31,160 --> 00:23:35,720 Speaker 1: more generally, have more women working in these organizations so 415 00:23:35,760 --> 00:23:39,159 Speaker 1: they can actually bring the you know, their experiences or 416 00:23:39,200 --> 00:23:42,560 Speaker 1: the realities of what all kinds of commuters experience into 417 00:23:42,600 --> 00:23:46,159 Speaker 1: the actual like implementation of these systems or whatever. I 418 00:23:46,200 --> 00:23:48,960 Speaker 1: saw a dick on the bus last week, man, and 419 00:23:49,000 --> 00:23:51,560 Speaker 1: there's but but it was dealt with so well by 420 00:23:51,560 --> 00:23:56,159 Speaker 1: a female bus driver who there I was sitting a 421 00:23:56,400 --> 00:23:59,760 Speaker 1: seat over, but there was someone who you know, just 422 00:24:00,320 --> 00:24:02,760 Speaker 1: felt the need took his dick out. It was literally 423 00:24:02,760 --> 00:24:05,200 Speaker 1: one in the afternoon on a packed bus and on 424 00:24:05,359 --> 00:24:09,080 Speaker 1: the two goes down sunset and the woman sitting next 425 00:24:09,080 --> 00:24:11,879 Speaker 1: to me was just like she like saw it, registered 426 00:24:11,920 --> 00:24:15,240 Speaker 1: it and then just yelled like parness. And then the 427 00:24:15,320 --> 00:24:17,480 Speaker 1: bus driver lady was like did someone take their dick out? 428 00:24:17,720 --> 00:24:20,600 Speaker 1: And everyone was like yes, and then she was like 429 00:24:20,760 --> 00:24:22,320 Speaker 1: get him off the bus. And then there was a 430 00:24:22,400 --> 00:24:24,160 Speaker 1: guy who was like, okay, you need to get off 431 00:24:24,160 --> 00:24:28,159 Speaker 1: the bus. And it was dealt with relatively swiftly thanks 432 00:24:28,200 --> 00:24:31,320 Speaker 1: to citizen justice. Everyone was looking out for each other. 433 00:24:31,320 --> 00:24:33,480 Speaker 1: They're like, there's a dick out, let's get a dick 434 00:24:33,520 --> 00:24:36,359 Speaker 1: off the bus could have been much worse. That's so 435 00:24:36,359 --> 00:24:38,520 Speaker 1: great because that's clearly not what he was looking for. 436 00:24:38,600 --> 00:24:41,080 Speaker 1: It was like so business like and swift. You know, 437 00:24:41,160 --> 00:24:46,399 Speaker 1: she was so do you think was the person like 438 00:24:46,440 --> 00:24:48,680 Speaker 1: mentally ill or do you think he was just a pervert. 439 00:24:48,880 --> 00:24:51,879 Speaker 1: It seemed like there was something going on and it 440 00:24:51,960 --> 00:24:54,959 Speaker 1: wasn't like he was like handled violently, but they just 441 00:24:55,040 --> 00:24:59,720 Speaker 1: got him off the bus. But it's that it's like 442 00:24:59,760 --> 00:25:02,919 Speaker 1: that commuter mentality that I think is like interesting that 443 00:25:02,920 --> 00:25:04,680 Speaker 1: this study is finally being done because you have to 444 00:25:04,800 --> 00:25:06,960 Speaker 1: just like any commuter of any gender has to just 445 00:25:07,040 --> 00:25:11,400 Speaker 1: develop the like mentality of like this could happen at 446 00:25:11,400 --> 00:25:14,600 Speaker 1: any moment. And the woman who who the woman who 447 00:25:14,640 --> 00:25:17,679 Speaker 1: yelled penis the woman who cried penis. Uh. The second 448 00:25:17,720 --> 00:25:19,080 Speaker 1: he was off the bus, just like went back to 449 00:25:19,119 --> 00:25:21,639 Speaker 1: reading her book. She's like studying for intests something to 450 00:25:21,640 --> 00:25:25,679 Speaker 1: say something, hero she just is like reading. I don't know, 451 00:25:25,720 --> 00:25:27,280 Speaker 1: she would have back to reading whatever she was reading. 452 00:25:27,280 --> 00:25:28,719 Speaker 1: I was like, all right, we should start a Hall 453 00:25:28,800 --> 00:25:32,600 Speaker 1: of Fame of just everyday fucking heroes. Show that woman 454 00:25:32,600 --> 00:25:35,840 Speaker 1: would be the first inductee again, see something to say something. 455 00:25:35,880 --> 00:25:38,800 Speaker 1: I mean this, I think this is like you said, 456 00:25:38,880 --> 00:25:42,159 Speaker 1: there's an inherent bias, but it just shows Yeah, I 457 00:25:42,160 --> 00:25:44,320 Speaker 1: mean I imagine how that is in any other city, 458 00:25:44,320 --> 00:25:46,320 Speaker 1: because I mean I lived in New York for eight years. 459 00:25:46,440 --> 00:25:49,560 Speaker 1: The subways are not just only men because all the 460 00:25:49,600 --> 00:25:53,119 Speaker 1: women can afford to take cars everywhere. Like it's and 461 00:25:53,160 --> 00:25:56,000 Speaker 1: it's just those women are in a really shitty situation. 462 00:25:56,600 --> 00:25:58,560 Speaker 1: Um well, they said, it's even worse if you're a 463 00:25:58,560 --> 00:26:02,240 Speaker 1: breadwinner or you're the caretaker within your family, because then 464 00:26:02,320 --> 00:26:04,640 Speaker 1: you have your kids to also consider, and that can 465 00:26:04,720 --> 00:26:09,200 Speaker 1: factor into like avoiding certain modes of transportation to also children. 466 00:26:09,560 --> 00:26:11,679 Speaker 1: And then and then imagine on top of that, like 467 00:26:11,760 --> 00:26:13,800 Speaker 1: just for people who don't have the you know again 468 00:26:13,840 --> 00:26:15,400 Speaker 1: the money to be like, you know what, I'm gonna 469 00:26:15,400 --> 00:26:17,840 Speaker 1: take a cap or over you know, like uptown or whatever, 470 00:26:18,040 --> 00:26:21,040 Speaker 1: think about whatever, think about rent. I mean, like, you know, 471 00:26:21,200 --> 00:26:24,960 Speaker 1: you have a whole host of you know, living options 472 00:26:25,000 --> 00:26:27,879 Speaker 1: that aren't available to you, right like, because you know, 473 00:26:27,960 --> 00:26:30,760 Speaker 1: you don't want to live in a building that doesn't have, 474 00:26:31,480 --> 00:26:34,000 Speaker 1: you know, certain things that make you feel safe. So 475 00:26:34,520 --> 00:26:36,280 Speaker 1: you don't want to live in a building where the 476 00:26:36,400 --> 00:26:39,840 Speaker 1: laundry room is in like a basement with one swinging 477 00:26:39,920 --> 00:26:45,000 Speaker 1: light bulb above it and then swinging, it's always swinging. 478 00:26:45,760 --> 00:26:48,159 Speaker 1: And but then even if you're in an uber or 479 00:26:48,280 --> 00:26:50,359 Speaker 1: if there's so many studies that even that is not 480 00:26:50,760 --> 00:26:54,800 Speaker 1: historically super safe for women either. So it's just like, 481 00:26:54,880 --> 00:26:57,560 Speaker 1: you know, which is why we're pro open carry here 482 00:26:57,760 --> 00:26:59,840 Speaker 1: at the days, Like you should be able to drink 483 00:26:59,880 --> 00:27:02,600 Speaker 1: a beer wherever you want. That's exactly what I meant. 484 00:27:03,840 --> 00:27:05,760 Speaker 1: All Right, we're gonna take a quick break. We'll be 485 00:27:05,840 --> 00:27:20,920 Speaker 1: right back, and we're back. And crazy Ship was happening 486 00:27:20,960 --> 00:27:24,280 Speaker 1: in the Los Angeles, just all up and down California 487 00:27:25,080 --> 00:27:29,200 Speaker 1: over the weekend. Uh, you know, particularly in the city 488 00:27:29,200 --> 00:27:33,760 Speaker 1: of Thousand Oaks, where they were just you know, processing 489 00:27:34,160 --> 00:27:38,119 Speaker 1: a mass shooting at a nightclub that Miles used to 490 00:27:38,840 --> 00:27:42,879 Speaker 1: go sneak into when he was under age, and that 491 00:27:43,200 --> 00:27:46,280 Speaker 1: you know, it was still like an extremely fresh wound. 492 00:27:46,320 --> 00:27:49,639 Speaker 1: And then a wildfire like ripped through that same town, 493 00:27:50,520 --> 00:27:55,160 Speaker 1: but just all up and down California there were again, 494 00:27:55,520 --> 00:27:58,360 Speaker 1: you know, I remember, I think it was last year 495 00:27:58,840 --> 00:28:03,880 Speaker 1: wildfires have and that had people firefighters and climate experts 496 00:28:03,880 --> 00:28:06,399 Speaker 1: and everybody being like, this is unprecedented, but this is 497 00:28:06,440 --> 00:28:11,600 Speaker 1: the new normal because of climate change. And now you know, 498 00:28:11,960 --> 00:28:14,320 Speaker 1: we're seeing yet another. This is going to be the 499 00:28:14,359 --> 00:28:18,760 Speaker 1: biggest wildfire in the history of the state of California. Um, 500 00:28:18,800 --> 00:28:23,760 Speaker 1: this one is It wasn't the last one the biggest one? Yeah, yeah, 501 00:28:23,880 --> 00:28:26,800 Speaker 1: it just keeps getting Yeah, did you guys, did you 502 00:28:26,840 --> 00:28:30,959 Speaker 1: guys see it? So on Friday when I was leaving 503 00:28:31,000 --> 00:28:33,959 Speaker 1: my house, I like was just pulling out and it 504 00:28:34,000 --> 00:28:36,120 Speaker 1: looked like there was like a vulcan, like the only 505 00:28:36,160 --> 00:28:38,600 Speaker 1: thing I've ever seen, like it is like footage of 506 00:28:38,680 --> 00:28:41,880 Speaker 1: Mount St. Helen, because there was just this like column 507 00:28:41,920 --> 00:28:44,560 Speaker 1: of ash just going straight up in the air. Because 508 00:28:44,600 --> 00:28:48,800 Speaker 1: the wildfire just like went from like not being there 509 00:28:48,840 --> 00:28:52,040 Speaker 1: to being like huge in the matter of an hour. 510 00:28:52,240 --> 00:28:54,720 Speaker 1: So it was just suddenly all this smoke was pouring 511 00:28:54,760 --> 00:28:58,320 Speaker 1: into the sky, and by Saturday morning there was ash 512 00:28:58,440 --> 00:29:03,040 Speaker 1: like snowing from the sky, like on my neighborhood. So yeah, 513 00:29:03,080 --> 00:29:06,200 Speaker 1: that's pretty pretty crazy, and I think I think everybody 514 00:29:06,280 --> 00:29:09,040 Speaker 1: was dealing with that. Everybody. The air was terrible. I was, 515 00:29:09,280 --> 00:29:11,000 Speaker 1: I was just trying to do stuff on the weekend. 516 00:29:11,000 --> 00:29:14,959 Speaker 1: I had a ban mask on, was riding a bike. Unrelated, 517 00:29:15,080 --> 00:29:22,520 Speaker 1: but you've never had that's true, I I was, Um, 518 00:29:22,640 --> 00:29:24,520 Speaker 1: yeah it was. And then I fell on my bike. 519 00:29:24,920 --> 00:29:26,880 Speaker 1: I know that's outside story. I'm not meaning to make 520 00:29:26,880 --> 00:29:28,560 Speaker 1: it about me, but yeah, the fires, I mean it 521 00:29:29,120 --> 00:29:33,480 Speaker 1: tore through I found on my bike and my back. Um, 522 00:29:34,120 --> 00:29:36,480 Speaker 1: if anyone has any tips, let me know. But yeah, 523 00:29:36,560 --> 00:29:38,920 Speaker 1: the like especially there are parts of like Agora Hills. 524 00:29:38,960 --> 00:29:42,600 Speaker 1: I have friends whose family members lost their houses tragically 525 00:29:42,600 --> 00:29:47,320 Speaker 1: out there, and yeah, it looks like I mean, people 526 00:29:47,440 --> 00:29:51,560 Speaker 1: all over the area suffered from these wildfires. And then 527 00:29:51,760 --> 00:29:55,120 Speaker 1: you know, while Trump was out in France disrespecting the 528 00:29:55,160 --> 00:29:57,360 Speaker 1: Americans who lost their lives in World War One and 529 00:29:57,400 --> 00:29:59,360 Speaker 1: all the people who lost their lives in World War One, 530 00:29:59,600 --> 00:30:01,320 Speaker 1: he was like just in his hotel room tweeting some 531 00:30:01,320 --> 00:30:03,440 Speaker 1: ship like well, if these fires don't stop, I'm gonna 532 00:30:03,480 --> 00:30:06,120 Speaker 1: I'm not gonna give you all any more money. He 533 00:30:06,280 --> 00:30:10,240 Speaker 1: was blaming California firefighters for this. Now this, and also 534 00:30:10,320 --> 00:30:13,600 Speaker 1: just one fact about that the federal government manages that 535 00:30:13,680 --> 00:30:17,880 Speaker 1: so the land and the land where the fire started, 536 00:30:17,960 --> 00:30:21,920 Speaker 1: so uh smoke that one from Yeah, but uh yeah, 537 00:30:22,280 --> 00:30:25,880 Speaker 1: it's making me wonder, like, I don't know, how are 538 00:30:25,920 --> 00:30:30,360 Speaker 1: people still openly behind this dude, Like when a racist 539 00:30:30,800 --> 00:30:33,920 Speaker 1: guy in the Midwest is like saying to his wife 540 00:30:33,920 --> 00:30:36,280 Speaker 1: and I guess they're everywhere. Race guy anywhere is like, 541 00:30:36,840 --> 00:30:41,480 Speaker 1: you know, he's shipping on traditional American heroes while they're 542 00:30:41,520 --> 00:30:45,600 Speaker 1: fighting fires, like don't really have to stop driving around 543 00:30:45,680 --> 00:30:49,800 Speaker 1: to like his rallies, Like isn't this like just against everything? 544 00:30:49,960 --> 00:30:53,120 Speaker 1: The other thing that like about this fire in particular 545 00:30:53,280 --> 00:30:56,400 Speaker 1: was like there were a lot of high profile, famous 546 00:30:56,400 --> 00:30:58,280 Speaker 1: people affected by it, and I was like, well, maybe 547 00:30:58,280 --> 00:31:00,200 Speaker 1: he'll give a funk now that fit because he doesn't 548 00:31:00,200 --> 00:31:01,960 Speaker 1: give a funk about regular people. Maybe we'll give a 549 00:31:01,960 --> 00:31:03,920 Speaker 1: funk about it. But he just doesn't give it. A 550 00:31:03,920 --> 00:31:06,360 Speaker 1: lot of his critics too, I'm sure he's like he's 551 00:31:06,400 --> 00:31:12,560 Speaker 1: like Alissa Milano's horses don't care like. Yeah, conservatives on 552 00:31:12,600 --> 00:31:15,880 Speaker 1: Twitter like Mega Twitter was using this as an opportunity 553 00:31:15,880 --> 00:31:22,800 Speaker 1: to be like a look at these triggered libs downing 554 00:31:24,200 --> 00:31:28,640 Speaker 1: come on now. Yeah, it became sort of a political thing, 555 00:31:28,800 --> 00:31:34,240 Speaker 1: which Gillarmo del Toro's museum house. Yeah, house never got 556 00:31:35,360 --> 00:31:37,480 Speaker 1: I think I believe it did. I mean, I know, 557 00:31:37,960 --> 00:31:40,480 Speaker 1: Anna Josie it was really affected because the Bachelor House 558 00:31:40,640 --> 00:31:43,560 Speaker 1: burned out, the Bachelor Mansion. She came in with a 559 00:31:43,600 --> 00:31:46,120 Speaker 1: fucking tattoo on her face the day it happened. I 560 00:31:46,160 --> 00:31:49,040 Speaker 1: was like, damn, that was quick. The West World set 561 00:31:49,320 --> 00:31:52,120 Speaker 1: like the old West Town where a bunch of Westerns, 562 00:31:52,160 --> 00:31:55,680 Speaker 1: but most recently the West World movie was probably was 563 00:31:55,720 --> 00:31:59,320 Speaker 1: set there now Deadwood, like they shoot in the Dakota. No, 564 00:31:59,440 --> 00:32:01,800 Speaker 1: they built the o own town, but it got torn 565 00:32:01,840 --> 00:32:05,360 Speaker 1: down fairly recently. But maybe they were shooting the west 566 00:32:05,360 --> 00:32:09,280 Speaker 1: O fire. Yeah they're God. But yeah, so West World, 567 00:32:09,320 --> 00:32:15,360 Speaker 1: they're gonna have to rebuild West World essentially. Um and yeah, 568 00:32:15,480 --> 00:32:18,160 Speaker 1: Miley Cyrs's house burning, Yeah, a bunch of celebrities. Neil 569 00:32:18,240 --> 00:32:21,800 Speaker 1: Young's house burned down. Two of the original Charmed members, 570 00:32:21,840 --> 00:32:25,360 Speaker 1: elizam Ala and Holly Maery comes Jesus James and James 571 00:32:25,360 --> 00:32:27,880 Speaker 1: Wood had There was like all sorts of weird bipartisan 572 00:32:27,920 --> 00:32:31,000 Speaker 1: celebrity Twitter coming together with James Wood is like, we 573 00:32:31,080 --> 00:32:33,760 Speaker 1: gotta save these horses, and then they end up saving 574 00:32:33,800 --> 00:32:36,800 Speaker 1: the horses. And then I found a horse hack. If 575 00:32:36,840 --> 00:32:39,480 Speaker 1: there's a fire and your horses are in danger, you 576 00:32:39,520 --> 00:32:41,400 Speaker 1: spray paint your phone number on them and then you 577 00:32:41,480 --> 00:32:47,000 Speaker 1: let them go. Interest horse hacks. Damn, that's really cool. 578 00:32:47,040 --> 00:32:50,040 Speaker 1: Your horse in trouble, that's what you do, did James Woods. 579 00:32:50,480 --> 00:32:53,239 Speaker 1: James Woods literally tweeted at lilizam Alana spray paint your 580 00:32:53,240 --> 00:32:55,320 Speaker 1: phone number on the horses and set them free. I 581 00:32:55,360 --> 00:32:57,840 Speaker 1: was like, whoa, because they just will like have better 582 00:32:57,880 --> 00:33:01,520 Speaker 1: instincts than our Did he live in horse trailer or 583 00:33:01,960 --> 00:33:05,080 Speaker 1: waiting for someone to get Which is funny because for him, 584 00:33:05,160 --> 00:33:08,400 Speaker 1: because he's Mr Maga himself, Yeah, right for him to 585 00:33:08,560 --> 00:33:11,080 Speaker 1: be like I wonder what they think to like, wouldn't 586 00:33:11,080 --> 00:33:13,480 Speaker 1: he clap back on right wing Twitter Who's like yeah, 587 00:33:13,560 --> 00:33:16,280 Speaker 1: serves him? He's like, hey, asshole this uh yeah? Als. 588 00:33:16,440 --> 00:33:19,640 Speaker 1: Milana had a tweet out later like listen, I needed 589 00:33:19,680 --> 00:33:22,360 Speaker 1: horse tips. James Woods happened to be the person who 590 00:33:22,400 --> 00:33:26,000 Speaker 1: had the best horse. I'm sorry, I've been horse hacked. Yeah. 591 00:33:26,360 --> 00:33:28,440 Speaker 1: He also found a way to like make it for 592 00:33:28,520 --> 00:33:33,000 Speaker 1: some reason, the hashtag was like James Wood fire James 593 00:33:33,000 --> 00:33:36,400 Speaker 1: Wood started the fire right, which was weird. There's also 594 00:33:36,480 --> 00:33:40,120 Speaker 1: some weird like Mad Max post apocalyptic ship with Kim 595 00:33:40,160 --> 00:33:45,200 Speaker 1: and Kanye like paid for a private fire battalion to 596 00:33:45,360 --> 00:33:47,880 Speaker 1: fight the fire in their neighborhood and like saved a 597 00:33:47,920 --> 00:33:50,960 Speaker 1: bunch of the houses in their neighborhood by hiring these 598 00:33:51,000 --> 00:33:56,200 Speaker 1: firefighters to stop the fire from catching onto their properties. 599 00:33:56,800 --> 00:33:59,760 Speaker 1: But so usually it's just really random, like we we 600 00:33:59,800 --> 00:34:02,680 Speaker 1: know all sorts of people who's I know people whose 601 00:34:02,680 --> 00:34:06,560 Speaker 1: houses burned down. I know people whose houses Producer Sophie 602 00:34:06,600 --> 00:34:08,319 Speaker 1: was talking about a friend who's like house was the 603 00:34:08,360 --> 00:34:10,239 Speaker 1: only thing on the block that didn't burn down. But 604 00:34:10,280 --> 00:34:13,560 Speaker 1: it's like usually just completely random, because there's like these 605 00:34:13,560 --> 00:34:16,960 Speaker 1: embers just sort of floating through the air, like on 606 00:34:17,000 --> 00:34:19,120 Speaker 1: your roof, and yeah, if it lands on the roof, 607 00:34:19,160 --> 00:34:22,160 Speaker 1: your house burns down. If it happens to like hit 608 00:34:22,160 --> 00:34:24,279 Speaker 1: a gust of wind at that moment and past to 609 00:34:24,320 --> 00:34:27,279 Speaker 1: your neighbors, their house burns down. Damon Dash also was 610 00:34:27,320 --> 00:34:29,680 Speaker 1: a person whose house was the only one in the 611 00:34:29,680 --> 00:34:32,200 Speaker 1: neighborhood to not burn down like it was in the 612 00:34:32,239 --> 00:34:35,959 Speaker 1: photos were wild, just like his home and the Cursed Earth. 613 00:34:36,160 --> 00:34:40,239 Speaker 1: But up north in northern California this town called Paradise, 614 00:34:40,360 --> 00:34:43,600 Speaker 1: which has just been a fucking factory of shitty headlines 615 00:34:44,400 --> 00:34:49,759 Speaker 1: about Paradise lust. But this town just was not like 616 00:34:49,840 --> 00:34:52,040 Speaker 1: that at all. It was just like scorched shirt. The 617 00:34:52,200 --> 00:34:55,200 Speaker 1: entire place burned down, like the entire town, And if 618 00:34:55,200 --> 00:34:57,840 Speaker 1: you look at footage from that, it's and all the 619 00:34:57,880 --> 00:35:00,799 Speaker 1: all the firefighters and wildfire at berts are like, yeah, 620 00:35:00,880 --> 00:35:03,520 Speaker 1: this is not what's supposed to happen, Like you're supposed 621 00:35:03,560 --> 00:35:06,880 Speaker 1: to like fire goes where it's easiest trip to catch, 622 00:35:06,960 --> 00:35:09,440 Speaker 1: but this just like burned everything. Like when you look 623 00:35:09,480 --> 00:35:12,080 Speaker 1: at footage from there, it looks like the aftermath of 624 00:35:12,120 --> 00:35:16,040 Speaker 1: the Terminator to just especially when you have Trump again 625 00:35:16,120 --> 00:35:19,120 Speaker 1: trying to weaponize it against like the state of California, 626 00:35:19,120 --> 00:35:22,400 Speaker 1: when people are losing their lives, it's just it's not leadership. 627 00:35:22,600 --> 00:35:24,440 Speaker 1: But I was I have a question, is there like 628 00:35:24,520 --> 00:35:30,120 Speaker 1: a like a fucking black water for firefighters, mercenary firefighters? 629 00:35:30,360 --> 00:35:33,400 Speaker 1: Right Like like you go to a bar and you're like, hey, 630 00:35:33,440 --> 00:35:36,200 Speaker 1: like you find that old legend fire, Right, I got 631 00:35:36,280 --> 00:35:41,800 Speaker 1: a fire that needs fighting. Yeah, I don't do that anymore. 632 00:35:42,239 --> 00:35:45,600 Speaker 1: He's like, I've got a million dollars maybe one last job. 633 00:35:46,760 --> 00:35:50,200 Speaker 1: He's just out there saving saving Kanye's house called it's 634 00:35:50,200 --> 00:35:54,360 Speaker 1: called one last job. Sounds like a bad Clint Eastwood move. Yeah, 635 00:35:54,480 --> 00:35:57,480 Speaker 1: don't worry, that's being in the process. One of the 636 00:35:57,600 --> 00:36:00,200 Speaker 1: nice things, um, that I heard in the in the 637 00:36:00,239 --> 00:36:05,960 Speaker 1: followed of this, is that Airbnb was making encouraging people 638 00:36:06,000 --> 00:36:09,120 Speaker 1: who lived just outside evacuations and to make their homes 639 00:36:09,120 --> 00:36:13,200 Speaker 1: open to people have been evacuated, so there has been 640 00:36:13,320 --> 00:36:16,880 Speaker 1: largely placed at least places of shelter um in the 641 00:36:16,960 --> 00:36:19,399 Speaker 1: same for like there was like a big over the weekend. 642 00:36:19,400 --> 00:36:21,880 Speaker 1: A bunch of my friends took in animals from the 643 00:36:21,920 --> 00:36:24,440 Speaker 1: area and or like fostering animals and so right from 644 00:36:24,440 --> 00:36:26,839 Speaker 1: the shelters that had to be evacuated, right, yeah, yeah, 645 00:36:27,000 --> 00:36:28,839 Speaker 1: So it's good that people are taking care of each other, 646 00:36:28,880 --> 00:36:32,440 Speaker 1: but fucking global warming. Also be vigilant if you're in 647 00:36:32,520 --> 00:36:36,239 Speaker 1: one of those situations. Because we interviewed somebody who had 648 00:36:36,239 --> 00:36:38,719 Speaker 1: a situation like this happened to their town up in Canada, 649 00:36:39,640 --> 00:36:42,360 Speaker 1: like their entire town burned down and uh in the 650 00:36:42,440 --> 00:36:47,520 Speaker 1: evacuation zones, like all these like fraud rocksters, hucksters like 651 00:36:47,640 --> 00:36:51,120 Speaker 1: poured in to take advantage because anytime there's like an emergency, 652 00:36:51,320 --> 00:36:53,440 Speaker 1: they know people are vulnerable. They know that it's going 653 00:36:53,520 --> 00:36:57,120 Speaker 1: to kind of easy, just like financial ship and I 654 00:36:57,160 --> 00:37:01,879 Speaker 1: think robbing people and stuff like that. Um yeah, so 655 00:37:02,120 --> 00:37:04,239 Speaker 1: that's a bumber, but it is good to hear that. 656 00:37:04,880 --> 00:37:08,479 Speaker 1: I'm sure not everyone is that way, so just yeah, 657 00:37:08,800 --> 00:37:12,279 Speaker 1: just kidding. Don't let anyone in your house, especially if 658 00:37:12,320 --> 00:37:17,720 Speaker 1: they need shelter. So that caravan disappeared they were talking 659 00:37:17,719 --> 00:37:21,800 Speaker 1: about before before the election, Yeah, it was bearing down 660 00:37:21,800 --> 00:37:26,560 Speaker 1: on on America. The president was sending I think thousands 661 00:37:26,560 --> 00:37:32,160 Speaker 1: of troops to the border, and now that's I don't know, 662 00:37:32,520 --> 00:37:36,880 Speaker 1: it just stopped being a priority somehow. The president actually 663 00:37:36,960 --> 00:37:40,080 Speaker 1: did send troops about he claimed he was going to 664 00:37:40,160 --> 00:37:48,000 Speaker 1: send up to more than Afghanistan war. Yeah cool, but yeah, 665 00:37:48,080 --> 00:37:50,280 Speaker 1: it stopped being a priority of the second the election 666 00:37:50,360 --> 00:37:53,600 Speaker 1: was over. And I have to feel like again, like 667 00:37:53,960 --> 00:37:59,160 Speaker 1: the people who are Trump fans, like they they can't 668 00:37:59,760 --> 00:38:03,080 Speaker 1: feel good about this that they were convinced that this 669 00:38:03,200 --> 00:38:05,600 Speaker 1: was an imminent threat and then it just disappears they 670 00:38:05,600 --> 00:38:08,719 Speaker 1: have to be like, oh well, right, if you think 671 00:38:08,760 --> 00:38:10,560 Speaker 1: at the very least you would look at Trump, even 672 00:38:10,560 --> 00:38:12,279 Speaker 1: if you're TRUP supporting, Go okay, this guy doesn't know 673 00:38:12,320 --> 00:38:14,319 Speaker 1: anything about the military, right, even if you did go 674 00:38:14,360 --> 00:38:17,120 Speaker 1: to military school. But he has people who are actually 675 00:38:17,200 --> 00:38:19,960 Speaker 1: running the military around him, But he didn't even listen 676 00:38:20,000 --> 00:38:24,319 Speaker 1: to them when their assessment of this caravan was very 677 00:38:24,560 --> 00:38:28,000 Speaker 1: low probability of any kind of danger from this caravan, 678 00:38:28,000 --> 00:38:31,080 Speaker 1: and so like, nope, still send all these people there. 679 00:38:31,320 --> 00:38:34,680 Speaker 1: And now, like the stories of like the from the border, 680 00:38:34,760 --> 00:38:37,359 Speaker 1: of from like of these soldiers just sounds like they're 681 00:38:37,400 --> 00:38:40,120 Speaker 1: all just piste off, like they're just sort of going 682 00:38:40,160 --> 00:38:42,439 Speaker 1: through the motions are like I guess we'll just lay 683 00:38:42,520 --> 00:38:47,480 Speaker 1: some barbed wire barriers down and some tent facilities. And 684 00:38:47,520 --> 00:38:50,000 Speaker 1: now they're saying like a lot of the like the 685 00:38:50,040 --> 00:38:51,800 Speaker 1: areas where they are, like they don't have like proper 686 00:38:51,840 --> 00:38:54,680 Speaker 1: electricity or even like hot food, and they're just like 687 00:38:54,719 --> 00:38:57,040 Speaker 1: out there on this fool's errand and some might even 688 00:38:57,120 --> 00:39:01,480 Speaker 1: miss fucking Thanksgiving for for this ship. Yeah, it's so frustrating. 689 00:39:01,640 --> 00:39:04,719 Speaker 1: And every time something like this happens, it's like he's 690 00:39:04,760 --> 00:39:08,080 Speaker 1: got to lose a couple of voters over like each 691 00:39:08,160 --> 00:39:10,239 Speaker 1: small thing like this is he gonna have to run 692 00:39:10,239 --> 00:39:13,640 Speaker 1: the world on the ground to like lose enough voters 693 00:39:13,680 --> 00:39:15,600 Speaker 1: to not win into Yeah, I mean, well I think 694 00:39:15,600 --> 00:39:19,440 Speaker 1: we'll we'll see who the fucking like to the wheels 695 00:39:19,480 --> 00:39:23,439 Speaker 1: come off ride or die MAGA people are and imagine 696 00:39:23,600 --> 00:39:27,160 Speaker 1: there's still many of them, so yeah, because I'm sure 697 00:39:27,160 --> 00:39:29,640 Speaker 1: they're even people who are like, hey man, I maybe 698 00:39:29,760 --> 00:39:32,319 Speaker 1: I may be a veteran, but he's the commander in 699 00:39:32,400 --> 00:39:34,719 Speaker 1: chief and they'll just sort of use that reasoning of 700 00:39:34,800 --> 00:39:37,360 Speaker 1: like the authority of the president to sort of justify 701 00:39:37,480 --> 00:39:40,520 Speaker 1: like his bumbling. Yeah. Did you see the piece about 702 00:39:40,640 --> 00:39:46,799 Speaker 1: how they're like people who disconnect from their MAGA family members. Uh, 703 00:39:46,880 --> 00:39:49,600 Speaker 1: there was like a piece written about how, uh there's 704 00:39:49,680 --> 00:39:53,400 Speaker 1: like people online like MAGA people bragging about how no 705 00:39:53,400 --> 00:39:54,839 Speaker 1: one in their family will talk to them and they're 706 00:39:54,840 --> 00:39:58,319 Speaker 1: spending the holidays alone Like that happened? Those are the 707 00:39:58,360 --> 00:40:02,920 Speaker 1: writer dies. Yeah, you always talked about people who are 708 00:40:03,040 --> 00:40:06,200 Speaker 1: part of the Q army who uh you know, are 709 00:40:06,200 --> 00:40:10,960 Speaker 1: starting to feel like maybe alienating their entire family was 710 00:40:10,719 --> 00:40:14,040 Speaker 1: it was not worth it? Um, Well, they were sold 711 00:40:14,120 --> 00:40:18,600 Speaker 1: a bunch of hot garbage. The other way to respond 712 00:40:18,640 --> 00:40:22,440 Speaker 1: to all of these examples of people just not paying 713 00:40:22,440 --> 00:40:26,120 Speaker 1: attention to the fact that they're being lied to. Eight 714 00:40:26,480 --> 00:40:30,040 Speaker 1: had one of their analysts saying that the Republican Party 715 00:40:30,160 --> 00:40:33,719 Speaker 1: is now post policy, like it just doesn't matter what 716 00:40:33,800 --> 00:40:37,960 Speaker 1: they do because they're the people who have allegiances to 717 00:40:38,040 --> 00:40:42,000 Speaker 1: them are just doing it out of you know, aggrievement 718 00:40:42,040 --> 00:40:45,840 Speaker 1: and resentment. And you know, at this point, like Trump 719 00:40:45,960 --> 00:40:50,399 Speaker 1: could start pushing liberal policies and they as long as 720 00:40:50,400 --> 00:40:56,160 Speaker 1: he did the out loud like grievance teasing, like racism teasing, 721 00:40:56,280 --> 00:41:00,359 Speaker 1: like he would probably be fine. Um, it's just all 722 00:41:00,400 --> 00:41:04,960 Speaker 1: about having a highly public expression of racism, right. And 723 00:41:05,000 --> 00:41:07,480 Speaker 1: also it's like what has there There hasn't been one 724 00:41:07,600 --> 00:41:11,840 Speaker 1: worthwhile fucking bill that that's been passed under his leadership 725 00:41:11,880 --> 00:41:15,040 Speaker 1: that isn't like a major spending thing or give away 726 00:41:15,080 --> 00:41:18,879 Speaker 1: to rich people. But you know, he saved North Korea though, 727 00:41:19,880 --> 00:41:22,759 Speaker 1: But even then the disassessment where they're like, hey, this 728 00:41:22,800 --> 00:41:26,200 Speaker 1: is what happened. He slowly dismantled one in like real 729 00:41:26,320 --> 00:41:31,320 Speaker 1: big dramatic fashion while aggressively like improving twelve other sites, 730 00:41:32,080 --> 00:41:35,400 Speaker 1: and was just like, and he's just been skirting uh 731 00:41:35,480 --> 00:41:38,720 Speaker 1: sanctions by just being like, you know, being nice, sweet 732 00:41:38,760 --> 00:41:41,160 Speaker 1: nothings to Trump. Yeah, yeah, yeah, so he's getting played. 733 00:41:41,160 --> 00:41:44,960 Speaker 1: But anyway, like wildly, that's why the wave hit. Yeah, 734 00:41:45,080 --> 00:41:48,319 Speaker 1: so did a wave hit Miles. Republicans seem like they're 735 00:41:48,640 --> 00:41:51,960 Speaker 1: maybe a little bit less than please look at everything. 736 00:41:52,040 --> 00:41:55,040 Speaker 1: The morning after, we heard from the president leader of 737 00:41:55,080 --> 00:41:58,280 Speaker 1: the Republican Party, uh, saying that this was a tremendous 738 00:41:58,360 --> 00:42:01,960 Speaker 1: victory for the Republicans and for him, Uh, what where 739 00:42:02,000 --> 00:42:04,920 Speaker 1: are they at right now? You know, their high thirties 740 00:42:05,360 --> 00:42:12,080 Speaker 1: seat game in the House, which is a huge, huge swing, right. 741 00:42:12,160 --> 00:42:14,160 Speaker 1: And then also if you look at some of like 742 00:42:14,200 --> 00:42:16,680 Speaker 1: the Senate races, that people are like damn. Like John 743 00:42:16,680 --> 00:42:20,080 Speaker 1: Tester successfully fought off his challenge and survived in Montana 744 00:42:20,520 --> 00:42:25,160 Speaker 1: Kirsen Cinema one in Arizona, being a first Democrat senator 745 00:42:25,200 --> 00:42:26,600 Speaker 1: in like twenty five years, and I think the first 746 00:42:26,600 --> 00:42:31,479 Speaker 1: female senator in Arizona. And then you had Jackie what's 747 00:42:31,480 --> 00:42:35,440 Speaker 1: her name, uh Jackie Rosen, Yes, in Nevada, be Dean Heller. 748 00:42:35,840 --> 00:42:38,239 Speaker 1: So like, in the worst case scenario, we thought all 749 00:42:38,239 --> 00:42:39,960 Speaker 1: those things, we just go red. And when you're looking 750 00:42:40,000 --> 00:42:41,680 Speaker 1: at it now, you're like, well, it looks like they 751 00:42:41,719 --> 00:42:45,719 Speaker 1: actually made huge gains even in state houses. Whether it's 752 00:42:45,719 --> 00:42:48,200 Speaker 1: like even courts like Betto did so much to to 753 00:42:48,320 --> 00:42:52,439 Speaker 1: move shift things in the in to the left in Texas. Yeah, 754 00:42:52,440 --> 00:42:54,640 Speaker 1: there's nothing like you know, we were looking at that 755 00:42:54,680 --> 00:42:57,120 Speaker 1: New York Times map that sort of looked at like, 756 00:42:57,120 --> 00:43:00,439 Speaker 1: based on the election results, like the direction the terms 757 00:43:00,440 --> 00:43:03,560 Speaker 1: actually pushed a district based on the length of an 758 00:43:03,719 --> 00:43:06,439 Speaker 1: arrow would be like a very huge increment, like huge 759 00:43:06,440 --> 00:43:08,160 Speaker 1: move to the right or huge move to the left. 760 00:43:08,719 --> 00:43:12,200 Speaker 1: There were so many blue arrows going fully like just 761 00:43:12,400 --> 00:43:15,800 Speaker 1: huge pulls the other way. They're like, this is actually 762 00:43:15,800 --> 00:43:18,640 Speaker 1: a terrible look. And it makes sense because, like you say, 763 00:43:18,800 --> 00:43:23,560 Speaker 1: the gopis post policy. They just don't have a actual 764 00:43:23,680 --> 00:43:27,680 Speaker 1: platform that isn't tied to nationalism or xenophobia or transphobia 765 00:43:27,760 --> 00:43:32,040 Speaker 1: or any hate hate rhetoric essentially. Uh. And they're then 766 00:43:32,080 --> 00:43:34,680 Speaker 1: they're looking at like an electorate that's coming up in 767 00:43:34,719 --> 00:43:39,520 Speaker 1: our future electorate is becoming younger, more diverse, more into 768 00:43:39,560 --> 00:43:43,680 Speaker 1: this thing called fucking equality or some ship. So they 769 00:43:43,719 --> 00:43:46,319 Speaker 1: have a lot going against them. Uh. And one of 770 00:43:46,360 --> 00:43:48,600 Speaker 1: the most telling things was there's a report and Political 771 00:43:48,640 --> 00:43:52,080 Speaker 1: about how they're realizing they have a huge fundraising problem. Like, 772 00:43:52,520 --> 00:43:55,520 Speaker 1: for example, Act Blue, it's like a Democrat fundraising platform. 773 00:43:55,800 --> 00:43:58,560 Speaker 1: They were able to pour seven hundred million dollars into 774 00:43:58,680 --> 00:44:02,319 Speaker 1: races this year, seven hundred millions. And these are coming 775 00:44:02,320 --> 00:44:06,360 Speaker 1: from like small, like like individual donations, whereas the GOP 776 00:44:06,760 --> 00:44:09,560 Speaker 1: relies on the Sheldon Addolson's of the worlds and the 777 00:44:09,640 --> 00:44:12,640 Speaker 1: Koke Brothers of the worlds. They only raised through billionaires. 778 00:44:12,680 --> 00:44:15,279 Speaker 1: I mean, they do have some small ball fundraising, but 779 00:44:15,360 --> 00:44:17,600 Speaker 1: it's nothing compared to the Democrats. And when you look 780 00:44:17,600 --> 00:44:21,200 Speaker 1: at it, it's because their platform is giving millions of 781 00:44:21,239 --> 00:44:25,480 Speaker 1: people something to fight against. Uh. And yeah, well, I 782 00:44:25,520 --> 00:44:30,040 Speaker 1: mean now that we're looking at a Democratic House of Representatives, 783 00:44:30,440 --> 00:44:33,759 Speaker 1: we shall see what happens there. But I hope I'm 784 00:44:33,760 --> 00:44:36,080 Speaker 1: also still I mean, we're still waiting for like some 785 00:44:36,120 --> 00:44:40,120 Speaker 1: election results. You still need to know about Florida. Yeah, 786 00:44:40,160 --> 00:44:44,040 Speaker 1: in Georgia. There's still a lot going on. But I 787 00:44:44,040 --> 00:44:46,719 Speaker 1: think the one thing to also kind of keep in 788 00:44:46,760 --> 00:44:49,399 Speaker 1: mind too is I think, as we look at what, 789 00:44:50,120 --> 00:44:52,200 Speaker 1: you know, if if Nancy Pelosi looks like she will 790 00:44:52,239 --> 00:44:54,799 Speaker 1: be speaker, what the Democrats do with this power? And 791 00:44:54,880 --> 00:44:58,799 Speaker 1: I hope it isn't work with Trump because I don't 792 00:44:58,840 --> 00:45:01,759 Speaker 1: I think any bill that is going to start like 793 00:45:01,800 --> 00:45:04,080 Speaker 1: with the progressive base being like, yes, we need this 794 00:45:04,160 --> 00:45:07,160 Speaker 1: thing is going to get so watered down that we 795 00:45:07,239 --> 00:45:10,440 Speaker 1: get a huge nothing and we're then we begin putting 796 00:45:10,520 --> 00:45:13,919 Speaker 1: like wins in Trump's column too, because he could get 797 00:45:14,080 --> 00:45:17,120 Speaker 1: a like a like a prescription drug bill that might 798 00:45:17,160 --> 00:45:19,400 Speaker 1: not be as progressive as it actually needs to really 799 00:45:19,400 --> 00:45:23,000 Speaker 1: fully help people, but something that it does just enough, 800 00:45:23,320 --> 00:45:25,279 Speaker 1: and then we begin he'll be able to be like, well, 801 00:45:25,320 --> 00:45:27,359 Speaker 1: I got this done. I got this done, I got 802 00:45:27,360 --> 00:45:29,600 Speaker 1: this done, and I'm really it's gonna be it's a 803 00:45:29,640 --> 00:45:31,960 Speaker 1: slippery slope of like, yeah, they're there are things that 804 00:45:32,000 --> 00:45:33,840 Speaker 1: need to get done, but we also have to really 805 00:45:34,520 --> 00:45:37,960 Speaker 1: signal the values or the principles or the morals of 806 00:45:37,960 --> 00:45:41,040 Speaker 1: the Democratic Party going into because even if you go, hey, 807 00:45:41,080 --> 00:45:43,560 Speaker 1: we want this this like great Medicaid for All bill 808 00:45:43,719 --> 00:45:46,879 Speaker 1: or Medicare for All bill, or this great student loan 809 00:45:46,960 --> 00:45:49,880 Speaker 1: debt forgiveness bill or whatever, to show people, hey, this 810 00:45:49,920 --> 00:45:52,000 Speaker 1: is what we came with. But guess who just pooh 811 00:45:52,040 --> 00:45:54,680 Speaker 1: pooed the whole thing. It's the President, It's the it's 812 00:45:54,760 --> 00:45:57,239 Speaker 1: the Republicans in the Senate, it's the Republicans in the House. 813 00:45:57,560 --> 00:46:00,160 Speaker 1: We're trying, but these are the people who are actually 814 00:46:00,280 --> 00:46:02,640 Speaker 1: opposed to this thing, and I think there's something there 815 00:46:02,680 --> 00:46:04,839 Speaker 1: of a balancing act that's going to have to happen well, 816 00:46:04,920 --> 00:46:08,319 Speaker 1: especially because like they're such a common criticism of the 817 00:46:08,360 --> 00:46:11,239 Speaker 1: Democratic Party right now is that they have no identity, 818 00:46:11,400 --> 00:46:13,839 Speaker 1: and it's like so fractured and like what what does 819 00:46:13,880 --> 00:46:16,200 Speaker 1: the Democratic Party stand for? It's like if they start 820 00:46:16,239 --> 00:46:20,280 Speaker 1: working with Trump, that problem will continue, if not get worse, 821 00:46:20,320 --> 00:46:22,560 Speaker 1: where it's like if they have the House, they have 822 00:46:22,600 --> 00:46:27,399 Speaker 1: any sort of leverage, like meeting him too too much 823 00:46:27,440 --> 00:46:29,600 Speaker 1: in the middle, like like you were saying, well, we'll 824 00:46:29,640 --> 00:46:32,759 Speaker 1: give him like points and we'll also just make this 825 00:46:32,840 --> 00:46:35,960 Speaker 1: problem persistent of like voters who are like, well the 826 00:46:36,000 --> 00:46:38,000 Speaker 1: Democratic Party is no better, and it's like, well, if 827 00:46:38,000 --> 00:46:41,239 Speaker 1: they do that, uh, then yeah. Also, Miles scam Likely 828 00:46:41,360 --> 00:46:44,480 Speaker 1: is calling you my ex boyfriend. Sorry if we've been 829 00:46:44,520 --> 00:46:46,480 Speaker 1: talking about you, he knew you were coming on. I 830 00:46:46,520 --> 00:46:49,320 Speaker 1: should have not accepted that call. Uh. I mean what 831 00:46:49,800 --> 00:46:53,239 Speaker 1: I guess like, if they can get him to do 832 00:46:53,600 --> 00:46:56,680 Speaker 1: what they want, then they should do that if they can. 833 00:46:56,920 --> 00:46:59,840 Speaker 1: But again, it seems unlikely because everything he's done up 834 00:46:59,880 --> 00:47:03,760 Speaker 1: to this point has been motivated by just grievance politics. 835 00:47:04,000 --> 00:47:07,920 Speaker 1: But if they can, like I don't know, there's been 836 00:47:08,080 --> 00:47:10,799 Speaker 1: a lot of foreign countries that have figured out how 837 00:47:10,840 --> 00:47:14,319 Speaker 1: to manipulate this idiot into like doing whatever the funk 838 00:47:14,360 --> 00:47:16,439 Speaker 1: they want him to do, so like right, but they're 839 00:47:16,440 --> 00:47:20,080 Speaker 1: not running against him. That's the thing, is like by 840 00:47:20,160 --> 00:47:23,239 Speaker 1: working with him, and if things get done, those are 841 00:47:23,360 --> 00:47:26,200 Speaker 1: things he's gonna you inevitably just say, you know, they 842 00:47:26,239 --> 00:47:28,440 Speaker 1: couldn't have done it without me. This is what happens 843 00:47:28,520 --> 00:47:31,759 Speaker 1: with me. And that's the that's that's the danger, not 844 00:47:31,880 --> 00:47:34,880 Speaker 1: to say that you should completely just you know, uh, 845 00:47:35,320 --> 00:47:37,880 Speaker 1: just not do anything legislatively. But I think they need 846 00:47:37,920 --> 00:47:40,560 Speaker 1: to be very clear in what they're trying to advocate 847 00:47:40,640 --> 00:47:43,320 Speaker 1: for because this is a huge moment, you know. And 848 00:47:43,400 --> 00:47:45,520 Speaker 1: if and if Nancy Pelosi said, well, you know, we 849 00:47:45,600 --> 00:47:47,960 Speaker 1: want to bring things back to normal, back to normal, 850 00:47:48,040 --> 00:47:50,280 Speaker 1: and that means taking something that's a really good idea 851 00:47:50,400 --> 00:47:53,080 Speaker 1: and having it watering it so far, right, that's like, 852 00:47:53,120 --> 00:47:55,200 Speaker 1: what's the fucking print? I agree with that they need 853 00:47:55,280 --> 00:47:58,320 Speaker 1: to be uncompromising, right, they can get him to like 854 00:47:58,440 --> 00:48:00,719 Speaker 1: go along with their own compromising vision in some way 855 00:48:00,920 --> 00:48:05,080 Speaker 1: because he's dumber than Nancy Pelosi obviously by a lot, 856 00:48:05,480 --> 00:48:09,000 Speaker 1: and probably underestimates her because she's a woman, uh than 857 00:48:09,040 --> 00:48:11,239 Speaker 1: they should obviously. Yeah, and I just think, you know, 858 00:48:11,360 --> 00:48:13,399 Speaker 1: you also want to signal to these young voters. There's 859 00:48:13,440 --> 00:48:16,279 Speaker 1: like there's a huge segment of of strategists to who 860 00:48:16,320 --> 00:48:18,320 Speaker 1: think of the people who didn't come out for Hillary 861 00:48:18,360 --> 00:48:20,719 Speaker 1: in twos sixteen, or people that were just too far 862 00:48:20,880 --> 00:48:24,000 Speaker 1: left right, not not necessarily that they were centrist people. 863 00:48:24,440 --> 00:48:27,120 Speaker 1: It's said that they were like, this ain't it, This 864 00:48:27,360 --> 00:48:29,320 Speaker 1: is not this is not the change I'm looking for. 865 00:48:29,440 --> 00:48:31,640 Speaker 1: I'm looking for aggressive like I'm looking for a new 866 00:48:31,760 --> 00:48:35,800 Speaker 1: voting rights act. I'm looking for new protections for trans people, 867 00:48:35,880 --> 00:48:38,239 Speaker 1: for for gay people. Like that's like all of us 868 00:48:38,280 --> 00:48:41,040 Speaker 1: know someone like that. To who like didn't vote, we're 869 00:48:41,080 --> 00:48:43,560 Speaker 1: too far left, they're like fun this, like they're both 870 00:48:43,640 --> 00:48:45,800 Speaker 1: ship and funk that. And I'm like, well that's and 871 00:48:45,840 --> 00:48:47,120 Speaker 1: I had to talk to a lot of people. I'm like, 872 00:48:47,200 --> 00:48:49,320 Speaker 1: but let's be real here. You want to live in 873 00:48:49,360 --> 00:48:51,720 Speaker 1: a world where even if you do have centrist Hillary 874 00:48:51,760 --> 00:48:55,120 Speaker 1: Clinton as a president, it's better than what we have now, 875 00:48:55,200 --> 00:48:58,160 Speaker 1: because now you're losing your mind. I think by going 876 00:48:58,239 --> 00:49:00,600 Speaker 1: aggressively and trying to really put the laged down and 877 00:49:00,640 --> 00:49:02,759 Speaker 1: saying like this is what the party is trying to do. 878 00:49:03,520 --> 00:49:06,000 Speaker 1: That can motivate a lot of people going into also 879 00:49:06,040 --> 00:49:08,239 Speaker 1: because you want to show them the very least like 880 00:49:08,520 --> 00:49:11,480 Speaker 1: is what we're trying to do. I mean, democratic socialists 881 00:49:11,520 --> 00:49:14,919 Speaker 1: are getting into Congress, not like it's I don't know, yeah, 882 00:49:15,880 --> 00:49:17,440 Speaker 1: what a world. Yeah, And if you just look at 883 00:49:17,480 --> 00:49:19,640 Speaker 1: the leadership, there was like an article talking about the 884 00:49:19,840 --> 00:49:23,000 Speaker 1: Republican like the trials and tribulations of the party, and 885 00:49:23,360 --> 00:49:26,360 Speaker 1: the three people you see are Chuck Schumer, Mitch McConnell, 886 00:49:26,719 --> 00:49:29,040 Speaker 1: and Lindsay Graham. And you're like, yeah, and look at 887 00:49:29,040 --> 00:49:31,000 Speaker 1: the people who are coming in on the Democrats side, 888 00:49:31,040 --> 00:49:35,040 Speaker 1: with like Ocasio Cortez and all these other like great 889 00:49:35,080 --> 00:49:37,040 Speaker 1: women in the Midwest in Michigan and things like that. 890 00:49:37,400 --> 00:49:39,759 Speaker 1: Like you're looking at what this new what this new 891 00:49:39,840 --> 00:49:42,719 Speaker 1: identity is of this country, and like that's where it's going. 892 00:49:42,800 --> 00:49:44,960 Speaker 1: And you can't just have like the three horsemen of 893 00:49:45,600 --> 00:49:49,959 Speaker 1: the you know, drooping neck rock. What's the age limit 894 00:49:50,000 --> 00:49:56,600 Speaker 1: on the presidency for duties? You know, like how old 895 00:49:56,680 --> 00:50:06,120 Speaker 1: you have to be to be president? And how does that? 896 00:50:06,560 --> 00:50:10,000 Speaker 1: But I guess the other thing too is, as superproducer 897 00:50:10,080 --> 00:50:13,480 Speaker 1: Nick Stump reminds us, is there are growing murmurings that 898 00:50:13,600 --> 00:50:17,000 Speaker 1: Hillary is going to run again, and that could be 899 00:50:18,000 --> 00:50:21,360 Speaker 1: a fucking ship like or not like or don't do 900 00:50:21,520 --> 00:50:23,480 Speaker 1: that well, but I think what it's gonna do is 901 00:50:23,600 --> 00:50:27,239 Speaker 1: highlight just how fractured the Democratic Party is. And you're 902 00:50:27,280 --> 00:50:30,080 Speaker 1: gonna I mean, I can't imagine what a messy debate 903 00:50:30,160 --> 00:50:32,960 Speaker 1: begins to look like when you have progressive people attacking 904 00:50:33,080 --> 00:50:35,480 Speaker 1: Hillary from that side, if they have to, like, if 905 00:50:35,520 --> 00:50:37,919 Speaker 1: it's really going down to that, that's going to really 906 00:50:37,960 --> 00:50:40,400 Speaker 1: put You're going to see that there's this old guard 907 00:50:40,480 --> 00:50:43,000 Speaker 1: of more centrist Democrats, which at this point center they're 908 00:50:43,040 --> 00:50:44,880 Speaker 1: just literally just in the middle. They're not even that 909 00:50:45,120 --> 00:50:48,640 Speaker 1: left anymore. And then this far left contingent that is 910 00:50:49,320 --> 00:50:52,040 Speaker 1: gaining more and more momentum, and those those could be 911 00:50:52,080 --> 00:50:54,719 Speaker 1: two forces just smashing into each other. Yeah, and then 912 00:50:54,719 --> 00:50:56,960 Speaker 1: you're just fracturing the party again and making it more 913 00:50:57,040 --> 00:51:01,120 Speaker 1: likely that it fucking mago will hell, Hillary Clinton should 914 00:51:01,120 --> 00:51:06,160 Speaker 1: not remember president again. You know, yeah, she Kamala Harrison 915 00:51:06,239 --> 00:51:08,760 Speaker 1: there if Stacy Abrams doesn't end up winning the governorship, 916 00:51:08,840 --> 00:51:11,320 Speaker 1: get her in there like they're dead. Was that the 917 00:51:11,440 --> 00:51:15,400 Speaker 1: last season of Veep where it's all about her after 918 00:51:15,560 --> 00:51:19,399 Speaker 1: her like horrible loss, just saying she's going to run 919 00:51:19,520 --> 00:51:22,120 Speaker 1: for president again and everybody around her being like, do 920 00:51:22,280 --> 00:51:24,360 Speaker 1: not do that? Man? Was that the last season? I 921 00:51:24,440 --> 00:51:26,600 Speaker 1: think it was the last? The last, Like her daughter 922 00:51:26,680 --> 00:51:31,120 Speaker 1: immediately starts crying and everyone's just like, you're fucking monster. Anyways, 923 00:51:31,440 --> 00:51:33,600 Speaker 1: just no reason I'm bringing that up. We're gonna take 924 00:51:33,640 --> 00:51:46,359 Speaker 1: a quick break, we'll be right back. And we're back, 925 00:51:46,880 --> 00:51:50,560 Speaker 1: and so is the crew from Toys to her. Well 926 00:51:52,000 --> 00:51:57,560 Speaker 1: remember yeah, teaser came out and uh that was pretty cool, 927 00:51:58,000 --> 00:52:02,440 Speaker 1: pretty cool, the whole gang back together. Man. Oh man. 928 00:52:02,480 --> 00:52:05,239 Speaker 1: I saw Toy Story three Toy Story up. I was 929 00:52:05,280 --> 00:52:07,359 Speaker 1: also drunk when I went in there, so I got 930 00:52:07,440 --> 00:52:09,839 Speaker 1: emotional when I thought the thing was going to burn 931 00:52:09,920 --> 00:52:14,279 Speaker 1: them up in that incinerator. I was like, Toy Story 932 00:52:14,360 --> 00:52:18,040 Speaker 1: three was one of the darker non R rated movies 933 00:52:18,080 --> 00:52:20,359 Speaker 1: I've ever seen. My ceeling is a toy story has 934 00:52:20,400 --> 00:52:24,040 Speaker 1: been told. The story has a beginning middle, and I 935 00:52:24,120 --> 00:52:28,359 Speaker 1: thought we need to do stories. Um yeah, but back 936 00:52:28,400 --> 00:52:30,960 Speaker 1: of Cracked. We wrote an article after Toy Story two 937 00:52:31,120 --> 00:52:33,759 Speaker 1: about like, how really, when you think about it, the 938 00:52:34,000 --> 00:52:39,720 Speaker 1: existential experience of a toy would be fucking terrifying because 939 00:52:39,760 --> 00:52:42,799 Speaker 1: you exist forever, so you're just in the perpetual state, 940 00:52:42,920 --> 00:52:46,279 Speaker 1: like in a garbage heap. You would just be like 941 00:52:47,280 --> 00:52:50,959 Speaker 1: buried and unable to move for eternity, just like face 942 00:52:51,000 --> 00:52:54,000 Speaker 1: to face with a rotting banan appeal, Like how horrible 943 00:52:54,120 --> 00:52:56,399 Speaker 1: that would be? And then they made Toy Story three 944 00:52:56,440 --> 00:52:58,960 Speaker 1: about that. It's like going to the dump and you're like, 945 00:52:59,040 --> 00:53:02,160 Speaker 1: oh my is so I think the thing that people 946 00:53:02,200 --> 00:53:04,920 Speaker 1: are talking about is that they've introduced a new character 947 00:53:05,400 --> 00:53:09,360 Speaker 1: and toy story for and it's a spork played by 948 00:53:09,440 --> 00:53:13,200 Speaker 1: Tony Hale, Buster Blue. It's kind of amazing because it 949 00:53:13,320 --> 00:53:15,200 Speaker 1: was just sort of like, you know, the whole purpose 950 00:53:15,280 --> 00:53:17,160 Speaker 1: of the teaser was like, look at all these toys 951 00:53:17,320 --> 00:53:20,000 Speaker 1: and then what the funk is this plastic spoon with 952 00:53:20,200 --> 00:53:23,480 Speaker 1: googly eyes and like wire cleaner arms remind me of 953 00:53:23,520 --> 00:53:26,080 Speaker 1: my pet rocks or pipe cleaner arms. Yeah, it seems 954 00:53:26,160 --> 00:53:30,239 Speaker 1: like it's a thing where it's like, how like what 955 00:53:30,520 --> 00:53:33,759 Speaker 1: constitutes a toy? Right? Technically? Like if you draw eyes 956 00:53:33,840 --> 00:53:36,560 Speaker 1: on a spork, does that count? I think I'm sure 957 00:53:36,600 --> 00:53:38,600 Speaker 1: that's where they're going with my prediction, they're going to 958 00:53:38,680 --> 00:53:40,839 Speaker 1: make it a class thing. They're gonna be like these 959 00:53:40,920 --> 00:53:43,960 Speaker 1: kids had to make a toy out of a foss 960 00:53:44,000 --> 00:53:47,920 Speaker 1: and his value. I'm just like another year passes. Santa 961 00:53:48,040 --> 00:53:50,000 Speaker 1: University is no closer to being a future film, and 962 00:53:50,080 --> 00:53:53,240 Speaker 1: we have a four toy story. Actually, yeah, let's scrap 963 00:53:53,360 --> 00:53:55,759 Speaker 1: this segment because we should be This segment should be 964 00:53:55,840 --> 00:54:01,360 Speaker 1: about why university? Would you do it as a Pixar? 965 00:54:01,760 --> 00:54:03,239 Speaker 1: Would I do as a pie? You want to be 966 00:54:03,320 --> 00:54:06,080 Speaker 1: live action? I know you're got to be it's got 967 00:54:06,200 --> 00:54:11,279 Speaker 1: to be live action. Yeah, yeah, yeah, So I mean 968 00:54:11,360 --> 00:54:13,440 Speaker 1: it's you know, you want a bigger extra budget than 969 00:54:13,480 --> 00:54:16,520 Speaker 1: like Lord of the Rings or something. Oh yeah, and 970 00:54:16,760 --> 00:54:19,680 Speaker 1: Andy Cirkus will be one of the extras. But he'll 971 00:54:19,719 --> 00:54:22,359 Speaker 1: be I'll be hard to tell, but he's in there. 972 00:54:22,520 --> 00:54:25,080 Speaker 1: He's in there and we're paying his regular And McKellen 973 00:54:25,120 --> 00:54:28,080 Speaker 1: will also be in as an extra. Yeah, the whole 974 00:54:28,120 --> 00:54:30,680 Speaker 1: Castle over the Rings. Yeah. The studios like, hey, Jamie, 975 00:54:30,680 --> 00:54:33,000 Speaker 1: we're looking at you. Blew all your budget on these extras. 976 00:54:33,120 --> 00:54:36,759 Speaker 1: You I'm sorry. Why did you have Dame Judy Dench 977 00:54:36,960 --> 00:54:39,919 Speaker 1: as a featured background? Like did you see the stadium? Same? 978 00:54:40,000 --> 00:54:42,200 Speaker 1: She's there, she's there, she's sharing she's got blood on 979 00:54:42,280 --> 00:54:46,440 Speaker 1: her face to zoom in, but get the blue ray. 980 00:54:46,560 --> 00:54:52,640 Speaker 1: She's there. Well Papa John's, guys, smooth transition to Papa 981 00:54:52,760 --> 00:54:59,799 Speaker 1: John's because he's back. He's back. Trouble she already did 982 00:54:59,840 --> 00:55:02,160 Speaker 1: my have to tie you with that fucking headline a 983 00:55:02,280 --> 00:55:07,200 Speaker 1: second time? He is back. Well, you know, we've been 984 00:55:07,320 --> 00:55:10,360 Speaker 1: closely monitoring the downfall of Papa John's, and I know 985 00:55:10,400 --> 00:55:12,680 Speaker 1: there are people some someone came at me sideways on 986 00:55:12,760 --> 00:55:16,320 Speaker 1: Twitter's like, actually, Papa John's is the best pizza. I 987 00:55:16,840 --> 00:55:20,000 Speaker 1: strongly disagree, and I would check your blood sugar, sir, 988 00:55:21,360 --> 00:55:25,279 Speaker 1: ship is too sweet. Uh And again, look he said 989 00:55:25,360 --> 00:55:27,920 Speaker 1: racist ship on the on his earnings call, using the 990 00:55:28,040 --> 00:55:30,600 Speaker 1: N word. He has, he has hot, not the person 991 00:55:30,640 --> 00:55:34,520 Speaker 1: on Twitter, Papa John Schnatter is not his name, right, shattery, 992 00:55:35,280 --> 00:55:39,640 Speaker 1: snacked or whatever. Mr sweat bomb himself. You know, he's 993 00:55:39,719 --> 00:55:41,160 Speaker 1: he's just he's just a wag dude. And we've been 994 00:55:41,200 --> 00:55:44,560 Speaker 1: watching kind of laughing, gleefully how his his business been 995 00:55:44,600 --> 00:55:46,360 Speaker 1: going down the tubes. But now it's gotten to the 996 00:55:46,440 --> 00:55:49,800 Speaker 1: point where the franchise ease. The people who are you know, 997 00:55:49,960 --> 00:55:52,320 Speaker 1: have their own little Papa John's operation. They're trying to 998 00:55:52,360 --> 00:55:56,160 Speaker 1: get their living through this, you know, cursed brand. They're 999 00:55:56,200 --> 00:55:59,160 Speaker 1: now like look, they're trying to lawyer up because they're like, okay, dude, 1000 00:55:59,160 --> 00:56:01,479 Speaker 1: you fucked us over so bad, Like it's it's hurting 1001 00:56:01,560 --> 00:56:05,359 Speaker 1: my business now because of the outward image that Mr 1002 00:56:05,520 --> 00:56:09,080 Speaker 1: Papa has created. So now they are trying to say, like, yo, 1003 00:56:09,200 --> 00:56:11,920 Speaker 1: what's good. We gotta do something because they're saying, what 1004 00:56:12,440 --> 00:56:16,560 Speaker 1: sales plunged almost ten percent the last quarter and the like, 1005 00:56:16,760 --> 00:56:18,520 Speaker 1: the parent company has been doing a lot like of 1006 00:56:18,600 --> 00:56:21,959 Speaker 1: giving them like marketing budgets and other financial assistance because 1007 00:56:21,960 --> 00:56:24,200 Speaker 1: they're kind of like, yeah, we know it's kind of 1008 00:56:24,280 --> 00:56:27,120 Speaker 1: shitty right now. But I think now I think the 1009 00:56:27,280 --> 00:56:29,279 Speaker 1: lawyers are kind of being like, Okay, we're gonna have 1010 00:56:29,320 --> 00:56:31,520 Speaker 1: to really figure something out here, Like you know, you 1011 00:56:31,600 --> 00:56:36,560 Speaker 1: need to explain something to him because once he's out 1012 00:56:36,760 --> 00:56:39,359 Speaker 1: and you're the board, you've like forced him out. He's 1013 00:56:39,400 --> 00:56:43,000 Speaker 1: just costing you money at this right Um. But you 1014 00:56:43,080 --> 00:56:45,400 Speaker 1: know again, I I feel bad if you've you know, 1015 00:56:45,600 --> 00:56:47,480 Speaker 1: you had a business on your own and you had 1016 00:56:47,680 --> 00:56:50,200 Speaker 1: your Papa John's uh and doing all that. So you know, 1017 00:56:50,320 --> 00:56:52,279 Speaker 1: I hope the parent company gives them what they need 1018 00:56:52,440 --> 00:56:55,839 Speaker 1: or can find a way to keep them afloat or rebrand. 1019 00:56:56,000 --> 00:56:58,680 Speaker 1: I don't know. Well, it's a bunch of like it's 1020 00:56:58,760 --> 00:57:02,560 Speaker 1: all franchise, right, So yeah, a lot of different people 1021 00:57:03,040 --> 00:57:07,480 Speaker 1: who are small business owners who own individual Papa John's, 1022 00:57:07,600 --> 00:57:13,040 Speaker 1: and they're getting screwed by this multi multi hundred millionaire, 1023 00:57:13,400 --> 00:57:19,720 Speaker 1: sweaty cokehead alcoholic allegedly allegedly look at the photos. Start 1024 00:57:19,760 --> 00:57:22,080 Speaker 1: to go fund me to get a little signs that 1025 00:57:22,160 --> 00:57:25,280 Speaker 1: say sucks, and then send them to the franchisees, like, hey, 1026 00:57:25,400 --> 00:57:29,200 Speaker 1: Papa john sucks. Get some pizza so I could pay 1027 00:57:29,280 --> 00:57:34,160 Speaker 1: my rent. I'm a rebel Papa John's. Yeah, rennegave Papa 1028 00:57:34,240 --> 00:57:38,840 Speaker 1: John's franchise. Bitch there. Yeah, why had that idea for free? 1029 00:57:39,000 --> 00:57:42,720 Speaker 1: I still want to look into how Papa John's became 1030 00:57:42,760 --> 00:57:44,560 Speaker 1: so popular in the first place. I think it's just 1031 00:57:44,760 --> 00:57:47,880 Speaker 1: the sugar. Is like, because America had so much sugar 1032 00:57:47,920 --> 00:57:50,920 Speaker 1: in their blood, it was like everything needed to have 1033 00:57:51,040 --> 00:57:52,920 Speaker 1: some sugar in it just to like get back to 1034 00:57:53,080 --> 00:57:55,520 Speaker 1: base level, like the way a drug addict needs to 1035 00:57:56,360 --> 00:57:58,959 Speaker 1: just get right, get get right by having a couple 1036 00:57:59,000 --> 00:58:02,400 Speaker 1: of bumps. It's really bad. Never you never had Papa Jones, No, 1037 00:58:02,480 --> 00:58:04,280 Speaker 1: I didn't grow up near any though. It was all 1038 00:58:04,360 --> 00:58:07,640 Speaker 1: are they not really around in Boston? They weren't around 1039 00:58:08,160 --> 00:58:10,560 Speaker 1: where I grew up. Yeah, we had Little Caesars and 1040 00:58:10,600 --> 00:58:14,680 Speaker 1: we had Papa Ginos. We're more of a Ginos. Is 1041 00:58:14,920 --> 00:58:17,880 Speaker 1: weird when it comes to fast foods, like it has 1042 00:58:17,960 --> 00:58:20,200 Speaker 1: like sort of its own universe. We also don't have 1043 00:58:20,240 --> 00:58:24,320 Speaker 1: a lot of subways. We have d'angelos. Yeah, yeah, d'angels. 1044 00:58:24,400 --> 00:58:27,080 Speaker 1: Did they have the sub untied round? How does it 1045 00:58:27,200 --> 00:58:30,280 Speaker 1: feel all the guys just ripped and you can kind 1046 00:58:30,280 --> 00:58:37,160 Speaker 1: of see their dicks? When can I have less pupid 1047 00:58:37,200 --> 00:58:43,400 Speaker 1: hare in my tunas out? That's gross? Well, it's been 1048 00:58:43,440 --> 00:58:48,200 Speaker 1: so fun having you as always. Where can people find you? 1049 00:58:48,480 --> 00:58:51,400 Speaker 1: You can find me on Twitter again at Jamie lovetas help. 1050 00:58:51,480 --> 00:58:54,320 Speaker 1: Shout out to Neil Gaiman, a nice man I've never 1051 00:58:54,440 --> 00:58:56,960 Speaker 1: met who repeatedly bails me out of Twitter channel for 1052 00:58:57,000 --> 00:58:59,720 Speaker 1: reasons I don't know why. Uh. And then if you 1053 00:58:59,840 --> 00:59:02,440 Speaker 1: love in the l A area, I'll be performing at 1054 00:59:02,480 --> 00:59:08,560 Speaker 1: Vulture Fest on Saturday at the Hollywood Roosevelt. Go go 1055 00:59:08,760 --> 00:59:13,600 Speaker 1: see is there a tweet you've been enjoying while you're 1056 00:59:13,600 --> 00:59:17,000 Speaker 1: back on Twitter? Yes? Um from a New York comedian 1057 00:59:17,040 --> 00:59:20,920 Speaker 1: and I really like Nick Nanny. Uh. He cracked me 1058 00:59:21,040 --> 00:59:23,080 Speaker 1: up with this one. It is as some of you 1059 00:59:23,240 --> 00:59:25,880 Speaker 1: may have heard, my uncle passed away last night. Waiting 1060 00:59:25,920 --> 00:59:30,520 Speaker 1: for you to name a more iconic duo made me 1061 00:59:30,600 --> 00:59:32,880 Speaker 1: laugh a lot. He's at Nick Nanny N I c 1062 00:59:33,040 --> 00:59:36,840 Speaker 1: k n A N Why that's amazing? Miles Where can 1063 00:59:36,880 --> 00:59:39,280 Speaker 1: people find you? And what is a tweet you've been enjoying? 1064 00:59:39,400 --> 00:59:42,640 Speaker 1: You can find me on Twitter and Instagram at Miles 1065 00:59:42,720 --> 00:59:45,120 Speaker 1: of Gray and I have to go back to just 1066 00:59:45,240 --> 00:59:49,440 Speaker 1: my favorite headline writers at reductress. Uh is this picture 1067 00:59:49,520 --> 00:59:52,760 Speaker 1: this black bloom with her arms crossed? It says report 1068 00:59:53,320 --> 00:59:58,320 Speaker 1: black woman not surprised. Tell them next one. There's a 1069 00:59:58,400 --> 01:00:00,800 Speaker 1: guy who looks like just sort of like, uh, I 1070 01:00:00,840 --> 01:00:03,800 Speaker 1: don't know, hip story guy you'd work with at a 1071 01:00:04,000 --> 01:00:06,520 Speaker 1: media company, kind of look with classes and an Oxford 1072 01:00:06,520 --> 01:00:09,760 Speaker 1: shirt on. And it said, what's weird about calling them females? 1073 01:00:09,960 --> 01:00:15,160 Speaker 1: Says mail. Uh. You can follow me on Twitter at 1074 01:00:15,240 --> 01:00:22,440 Speaker 1: Jack Underscore Obrian black woman not surprised. The volatile mermaid 1075 01:00:22,520 --> 01:00:25,760 Speaker 1: tweeted what idiot decided to call it trumpy bear instead 1076 01:00:25,800 --> 01:00:33,000 Speaker 1: of I really don't take care bear? Whoa switch? You 1077 01:00:33,080 --> 01:00:36,080 Speaker 1: can follow us on Twitter at Daily's like I spread 1078 01:00:36,160 --> 01:00:39,000 Speaker 1: the Daily Zised on Instagram. We have a Facebook fan 1079 01:00:39,080 --> 01:00:41,920 Speaker 1: page and a website, Daily dot Com. We post our 1080 01:00:41,960 --> 01:00:44,680 Speaker 1: episodes in our foot notes. We link off to the 1081 01:00:44,720 --> 01:00:46,960 Speaker 1: information that we talked about in today's episode as well 1082 01:00:47,040 --> 01:00:50,200 Speaker 1: as the song we ride out on. You can also 1083 01:00:50,240 --> 01:00:53,600 Speaker 1: find that information in the show notes on whatever device 1084 01:00:53,680 --> 01:00:57,960 Speaker 1: you're listening to this on. Miles. Yeah, hey man, what's up? 1085 01:00:58,400 --> 01:01:01,320 Speaker 1: What's song we gonna write down? Let's go out on 1086 01:01:01,920 --> 01:01:04,760 Speaker 1: a new artist. We're not new artists, newer artists that 1087 01:01:05,040 --> 01:01:10,240 Speaker 1: angel recently. Yes, Michael Jackson. No, this is Tierra Whack. 1088 01:01:10,880 --> 01:01:13,720 Speaker 1: Uh love Tierra Whack. You don't fun with Tierra Whack. 1089 01:01:13,840 --> 01:01:16,480 Speaker 1: You need to get on the whack train and go 1090 01:01:16,600 --> 01:01:20,360 Speaker 1: to whack Arnolds. Uh. This is from her album Whack Words. Hey, 1091 01:01:20,480 --> 01:01:23,680 Speaker 1: it could happen. Uh. And it's called Bugs Life. It's 1092 01:01:23,680 --> 01:01:25,760 Speaker 1: just kind of fitting. We're talking about bugs Life and 1093 01:01:26,560 --> 01:01:28,840 Speaker 1: beatles and beetles like that anyway. But yes, this is 1094 01:01:28,840 --> 01:01:31,520 Speaker 1: Bug's Life by Tierra Whack. And Uh, yeah, I just 1095 01:01:31,720 --> 01:01:35,720 Speaker 1: enjoy her her stylings. Very cool artists. Uh and I 1096 01:01:35,800 --> 01:01:38,160 Speaker 1: hope you enjoy. All Right, we're gonna ride out on 1097 01:01:38,360 --> 01:01:40,480 Speaker 1: that we will be back tomorrow because it is a 1098 01:01:40,600 --> 01:01:46,920 Speaker 1: daily podcast. We'll talk to you. Get that checking bubble babs. 1099 01:01:47,760 --> 01:01:50,240 Speaker 1: Let to see my mother lab can't wait to sup 1100 01:01:50,280 --> 01:01:53,040 Speaker 1: palm Soccohuckers asked Nika's coming up short. Was the other 1101 01:01:53,080 --> 01:01:56,600 Speaker 1: half even at my as close? Don't want crash in 1102 01:01:56,680 --> 01:02:02,600 Speaker 1: my bag? When you actually yeah, that was easy. I 1103 01:02:02,680 --> 01:02:04,640 Speaker 1: was somebody hard to come across. Check to b H 1104 01:02:04,800 --> 01:02:06,720 Speaker 1: level and then I'm done with box chippings. Donkey right? 1105 01:02:06,720 --> 01:02:08,720 Speaker 1: Why said come a boss send my cousin to the 1106 01:02:08,760 --> 01:02:11,800 Speaker 1: store to buy some sucking off bugge Im miss kados 1107 01:02:12,240 --> 01:02:15,800 Speaker 1: bug it. I onlyed those love it my big balls, 1108 01:02:16,480 --> 01:02:21,280 Speaker 1: all the sons you'll need dosboy, So here go