1 00:00:00,120 --> 00:00:03,000 Speaker 1: Hello the Internet, and welcome to season sixty one, Episode 2 00:00:03,040 --> 00:00:06,200 Speaker 1: five of Daddy's Right Guys, the podcast where we take 3 00:00:06,200 --> 00:00:09,200 Speaker 1: a deep dive into America's share consciousness using the headlines, 4 00:00:09,560 --> 00:00:13,680 Speaker 1: box Office Reports, TV rating, what's trending on ease and 5 00:00:13,840 --> 00:00:17,680 Speaker 1: social media? Which Friday, December fourteenth, two thousand eight. Team 6 00:00:17,680 --> 00:00:22,240 Speaker 1: my name's Jack O'Brien, a Kay, Jack O'Brian, Miles Gray 7 00:00:22,560 --> 00:00:26,639 Speaker 1: and a hose Na the Daily's like guyst in your 8 00:00:26,680 --> 00:00:30,440 Speaker 1: ears keeps all problems at bay like the Salt Guy. 9 00:00:31,440 --> 00:00:35,319 Speaker 1: That is courtesy of Shawn Constantine on Twitter. And I'm 10 00:00:35,320 --> 00:00:37,960 Speaker 1: thrilled to be joined as always by my co host, 11 00:00:38,120 --> 00:00:41,879 Speaker 1: Mr Miles Great Jackie, are you all great? Jackie? Are 12 00:00:41,920 --> 00:00:44,519 Speaker 1: you all great? Are you all great? Jackie? Jackie? Are 13 00:00:44,520 --> 00:00:47,520 Speaker 1: you well great? Dackie are you well great? Oh great? 14 00:00:47,600 --> 00:00:51,800 Speaker 1: Duckie day? Are you all gay? Are you all gay? Jackets? Dear? 15 00:00:52,760 --> 00:00:55,040 Speaker 1: All right? Anyway? That is from at Sir Brent's Worth, 16 00:00:55,160 --> 00:00:58,000 Speaker 1: Brent Liberator, believe you did the actual lean. That was 17 00:00:58,040 --> 00:01:02,640 Speaker 1: an incredible the smooth operator. Yeah, d whole pint of yes. 18 00:01:02,680 --> 00:01:05,559 Speaker 1: Oh that lead the lean from the video. Sorry, yeah, 19 00:01:05,600 --> 00:01:09,119 Speaker 1: if I stopped breathing the smooth criminal water on my head, 20 00:01:09,160 --> 00:01:12,120 Speaker 1: different film. Uh. Well, we are sorrow to be joined 21 00:01:12,160 --> 00:01:15,640 Speaker 1: in our third seat by fan favorite and one of 22 00:01:15,760 --> 00:01:19,200 Speaker 1: our favorite comedians to have here on the show, Sophia Alexandra, 23 00:01:23,240 --> 00:01:28,000 Speaker 1: how are you feel good? All right, we're gonna get 24 00:01:28,000 --> 00:01:30,080 Speaker 1: to know you a little bit better. But first we're 25 00:01:30,120 --> 00:01:32,319 Speaker 1: gonna tell our listeners a couple of the things we're 26 00:01:32,360 --> 00:01:37,400 Speaker 1: talking about today. Talking about a fancy Russian robot who 27 00:01:37,440 --> 00:01:39,840 Speaker 1: turned out to be just a guy in a robot costume. 28 00:01:40,480 --> 00:01:43,640 Speaker 1: We're gonna talk about more Earthquake Ship. That's gonna be 29 00:01:43,640 --> 00:01:46,800 Speaker 1: a new segment on the show, More Earthquake Ship. We're 30 00:01:46,800 --> 00:01:50,080 Speaker 1: gonna talk about the dude who claims he has witnessed 31 00:01:50,160 --> 00:01:56,240 Speaker 1: Donald Trump just grinding up the adderall and blowing lines. Uh. 32 00:01:56,320 --> 00:01:58,480 Speaker 1: And we're gonna talk about am I and David Pecker 33 00:01:58,960 --> 00:02:03,560 Speaker 1: our old home is from the days of flipping on Trump, 34 00:02:03,800 --> 00:02:06,760 Speaker 1: along with so many others and other things. We're gonna 35 00:02:06,760 --> 00:02:10,000 Speaker 1: talk about a lot today. But first, Sophia, what is 36 00:02:10,080 --> 00:02:12,880 Speaker 1: something from your search history that's really about who you are? 37 00:02:14,200 --> 00:02:19,600 Speaker 1: I tried to search the most prolific child killers, Oh, 38 00:02:19,880 --> 00:02:22,320 Speaker 1: the people who murdered children or children that killed children, 39 00:02:22,440 --> 00:02:30,079 Speaker 1: who murdered the most people. Now that's more fun searching. Yeah, 40 00:02:30,160 --> 00:02:34,160 Speaker 1: And my favorite thing that I came upon in that 41 00:02:34,280 --> 00:02:39,920 Speaker 1: search was a child, a girl that had killed another child, 42 00:02:40,960 --> 00:02:43,960 Speaker 1: then came over to the mother's door, knocked on the 43 00:02:44,000 --> 00:02:47,840 Speaker 1: door and was like, hey, have you seen billy? I 44 00:02:47,880 --> 00:02:50,600 Speaker 1: feel like I saw him out in the meadow just 45 00:02:50,720 --> 00:02:56,280 Speaker 1: so she could watch. The mother discovered by body. That's 46 00:02:56,320 --> 00:02:58,480 Speaker 1: my favorite thing that I found. That's crazy. How old 47 00:02:58,560 --> 00:03:02,160 Speaker 1: was she? I think she was like seven or eight? 48 00:03:02,880 --> 00:03:10,080 Speaker 1: I mean like a child? Country was England? Wow? Recently? No, 49 00:03:10,360 --> 00:03:18,240 Speaker 1: there's like an old mythical tale. Yes, child, chill that 50 00:03:18,360 --> 00:03:20,520 Speaker 1: what the tale as old as time is from that 51 00:03:20,520 --> 00:03:23,400 Speaker 1: beauty they were talking about that little girl who is 52 00:03:23,520 --> 00:03:28,040 Speaker 1: savvage that is fucked up a little boy? Huh? You 53 00:03:28,120 --> 00:03:30,120 Speaker 1: don't know that the beauty and the beast were the 54 00:03:30,200 --> 00:03:35,440 Speaker 1: same person. You just blew my mind? Is that the moral? 55 00:03:36,040 --> 00:03:39,800 Speaker 1: That's the moral? Wow? Okay, yeah, that's the whole thing 56 00:03:40,040 --> 00:03:42,960 Speaker 1: where we watched that movie. Now, through being a fan 57 00:03:43,000 --> 00:03:45,840 Speaker 1: of Last Podcast on the Left, I've learned about killers 58 00:03:45,960 --> 00:03:49,360 Speaker 1: who really enjoy like it's true what they say about, 59 00:03:49,440 --> 00:03:53,880 Speaker 1: like look at who's that the crime scene when bodies 60 00:03:53,920 --> 00:03:55,880 Speaker 1: being discovered, because that's like part of the thrill for 61 00:03:55,920 --> 00:03:59,040 Speaker 1: a lot of thrill killers. That's why you return to 62 00:03:59,080 --> 00:04:01,200 Speaker 1: the scene at the time. There was a Japanese guy 63 00:04:01,240 --> 00:04:03,680 Speaker 1: who killed his classmates that were bullying him, and then 64 00:04:03,680 --> 00:04:05,840 Speaker 1: he killed his own mom because he didn't want her 65 00:04:05,840 --> 00:04:07,520 Speaker 1: to live with the shame of being the mother of 66 00:04:07,520 --> 00:04:11,400 Speaker 1: a killers the other way, that's the other direction right 67 00:04:11,400 --> 00:04:14,120 Speaker 1: now we do in Japan. So sweet about your mama. 68 00:04:14,160 --> 00:04:17,160 Speaker 1: I'm going to send that person a card. Good luck 69 00:04:17,200 --> 00:04:19,760 Speaker 1: getting into them. Are there any did you find any 70 00:04:19,839 --> 00:04:23,200 Speaker 1: children who like killed a bunch of adults, Like kids 71 00:04:23,200 --> 00:04:26,200 Speaker 1: who were like twelve vere younger that would be dope, 72 00:04:26,880 --> 00:04:30,080 Speaker 1: and nothing that was nearly as interesting as this, Like 73 00:04:30,160 --> 00:04:33,120 Speaker 1: everything paled one that, especially when you're like, yeah, I 74 00:04:33,160 --> 00:04:39,839 Speaker 1: think I saw him over there. Yeah, it was like 75 00:04:39,839 --> 00:04:41,600 Speaker 1: two in the morning. All the hair on my arms 76 00:04:41,600 --> 00:04:45,359 Speaker 1: stood up. That is so crazy, the idea that you 77 00:04:45,360 --> 00:04:47,560 Speaker 1: went through some other bunk stories to be like, man, 78 00:04:47,600 --> 00:04:51,800 Speaker 1: this ain't fucking late enough. Got google other child. I 79 00:04:51,839 --> 00:04:54,599 Speaker 1: was like, please, a child that didn't even care whether 80 00:04:54,720 --> 00:04:59,599 Speaker 1: the victim's mother was going to see it now for me. Thanks. 81 00:04:59,720 --> 00:05:03,040 Speaker 1: So that's what you'll get On Sophia's Twitter feed and 82 00:05:03,279 --> 00:05:07,119 Speaker 1: something like that and her dating podcast Reality. But yeah, 83 00:05:07,880 --> 00:05:10,400 Speaker 1: use you guys listen to when Jackie learn a lot 84 00:05:10,440 --> 00:05:12,800 Speaker 1: about our romantic lives. If you ever thought, what's it 85 00:05:12,880 --> 00:05:16,320 Speaker 1: like to date us? Yes, check it out story so 86 00:05:17,400 --> 00:05:19,919 Speaker 1: you'll never want to date us again. It's not true. 87 00:05:20,120 --> 00:05:22,680 Speaker 1: I think everyone's going to fall a little deeper in love. 88 00:05:24,839 --> 00:05:29,040 Speaker 1: You were vulnerable. A lot of listeners don't think that 89 00:05:29,160 --> 00:05:32,200 Speaker 1: jack is capable of being vulnerable, that he's just a 90 00:05:32,400 --> 00:05:37,599 Speaker 1: brain and humor machine. You're wrong. I want to see 91 00:05:37,640 --> 00:05:42,000 Speaker 1: a grown man cry over having a baby. Check out 92 00:05:42,040 --> 00:05:45,479 Speaker 1: another podcast. It's not that one. What is something you 93 00:05:45,480 --> 00:05:48,800 Speaker 1: think is overrated? Okay? You know I fucking write these 94 00:05:48,839 --> 00:05:52,880 Speaker 1: down in advance. Okay, have you guys seen the movie 95 00:05:52,880 --> 00:05:55,440 Speaker 1: The Favorite? No, I'm about to though I have the 96 00:05:55,440 --> 00:06:02,840 Speaker 1: screener is amazing, ok underrated? Big fan of that movie. 97 00:06:03,200 --> 00:06:07,000 Speaker 1: First of all, it's just so many women being so 98 00:06:07,120 --> 00:06:11,120 Speaker 1: dope and like hilarious. It's a legit funny movie. I 99 00:06:11,160 --> 00:06:13,160 Speaker 1: heard it's just like walks this really amazing line, but 100 00:06:13,320 --> 00:06:15,840 Speaker 1: you being like tortuous and hilarious at the same Yeah, 101 00:06:15,880 --> 00:06:18,600 Speaker 1: I tweeted, I was like it made me like think 102 00:06:18,960 --> 00:06:21,720 Speaker 1: and it made me horny and it made me like 103 00:06:22,320 --> 00:06:28,480 Speaker 1: it was a real weird those same time, Jack, you 104 00:06:31,560 --> 00:06:38,200 Speaker 1: know this is your underrated correct, that is my underrated. 105 00:06:39,040 --> 00:06:41,520 Speaker 1: We were going out listening to the whole album. Okay, 106 00:06:41,560 --> 00:06:43,120 Speaker 1: I thought that might have been too emo to say, 107 00:06:43,520 --> 00:06:47,560 Speaker 1: but talk about don't listen to a whole album of 108 00:06:47,640 --> 00:06:52,599 Speaker 1: music anymore. It's all, let's what's the best songs single? No, 109 00:06:53,720 --> 00:06:57,240 Speaker 1: listen to a fucking album. I prefer doing it on 110 00:06:57,279 --> 00:07:01,159 Speaker 1: a tape or vinyl, not because I think the sound 111 00:07:01,240 --> 00:07:04,080 Speaker 1: quality is richer or some bullshit, which it is it is. 112 00:07:04,160 --> 00:07:07,480 Speaker 1: I know, don't write you like no. Um. The reason 113 00:07:07,560 --> 00:07:09,520 Speaker 1: I like it is I read something a long time 114 00:07:09,560 --> 00:07:12,880 Speaker 1: ago that made me think of albums in a way 115 00:07:12,920 --> 00:07:15,679 Speaker 1: that it was really cool. And every time I listened 116 00:07:15,720 --> 00:07:17,760 Speaker 1: to tapes or vinyl, I think about that, which is 117 00:07:18,120 --> 00:07:20,880 Speaker 1: that people used to when they made albums, think about 118 00:07:21,000 --> 00:07:24,280 Speaker 1: the first side on the second side, Like, how do 119 00:07:24,320 --> 00:07:27,000 Speaker 1: you want to begin end this part? In this part 120 00:07:27,040 --> 00:07:32,080 Speaker 1: because there's no tracks, there's no skipping tracks. Yeah yeah, 121 00:07:32,120 --> 00:07:34,440 Speaker 1: but it's also like annoying you to do that, so 122 00:07:35,400 --> 00:07:39,920 Speaker 1: and you get more uh. I guess you pay attention 123 00:07:39,920 --> 00:07:42,200 Speaker 1: more to the music when you physically have to go 124 00:07:42,400 --> 00:07:47,000 Speaker 1: and flip the thing to like side B, and it 125 00:07:47,040 --> 00:07:49,840 Speaker 1: makes you connect more with what you're listening to, and 126 00:07:49,840 --> 00:07:51,800 Speaker 1: it us still also be like you would study the 127 00:07:52,000 --> 00:07:54,600 Speaker 1: liner notes and you would just lay around and like 128 00:07:54,680 --> 00:07:57,240 Speaker 1: try to the experience of listening to the whole album, 129 00:07:57,320 --> 00:08:00,480 Speaker 1: I think like you will rediscover songs in a different 130 00:08:00,480 --> 00:08:03,880 Speaker 1: way versus just listening to some of your favorite songs. 131 00:08:03,400 --> 00:08:06,680 Speaker 1: That's all. Especially, Yeah, I think like Marvin Gay, What's 132 00:08:06,680 --> 00:08:08,520 Speaker 1: going On is a great album if you don't listen 133 00:08:08,560 --> 00:08:10,680 Speaker 1: to all the way because like there's a central theme 134 00:08:10,800 --> 00:08:12,680 Speaker 1: that kind of goes through the entire album and like 135 00:08:12,760 --> 00:08:14,560 Speaker 1: the songs going to the next And I was like, 136 00:08:14,920 --> 00:08:17,680 Speaker 1: oh yeah, listening to albums like in college, I think 137 00:08:17,680 --> 00:08:19,200 Speaker 1: I had a profession to be like, you should listen 138 00:08:19,200 --> 00:08:21,760 Speaker 1: to albums all the way through, and that blew my mind. Also, 139 00:08:22,160 --> 00:08:25,679 Speaker 1: I think that Blurredline's case was solved, and I think 140 00:08:25,920 --> 00:08:28,400 Speaker 1: Robin Thicken Frell oh them like five million dollars totally. 141 00:08:28,480 --> 00:08:33,240 Speaker 1: I think I finally just got like five million bros. Sorry, Yeah, 142 00:08:33,360 --> 00:08:35,600 Speaker 1: especially albums that were made at the time, because that 143 00:08:35,679 --> 00:08:38,240 Speaker 1: was part of the intent. Yeah, exactly, That's what I mean. 144 00:08:38,640 --> 00:08:41,000 Speaker 1: I like to think of them as filmmakers. My favorite 145 00:08:41,040 --> 00:08:46,920 Speaker 1: albums tell a story where that barret come from inside. 146 00:08:47,400 --> 00:08:52,439 Speaker 1: What is something you think is overrated? Sophia overrated? Adding 147 00:08:52,520 --> 00:08:59,320 Speaker 1: lady endings to jobs like a comedian. I am so 148 00:08:59,480 --> 00:09:03,520 Speaker 1: fucking so gendered descriptors of occupations. Yeah, like you're if 149 00:09:03,520 --> 00:09:07,840 Speaker 1: you're not calling someone a doctoris or a lawyeris, please 150 00:09:07,880 --> 00:09:10,200 Speaker 1: do me the fucking favor of not calling me a 151 00:09:10,200 --> 00:09:14,200 Speaker 1: comedian presidents even when you're like people, I think I 152 00:09:14,240 --> 00:09:18,559 Speaker 1: think they're being polite, but I'm like comedian. Yeah, no, 153 00:09:18,760 --> 00:09:22,080 Speaker 1: I do the same thing as I'm a comedian. That's 154 00:09:22,120 --> 00:09:23,720 Speaker 1: what I am. You don't need to know I have 155 00:09:23,760 --> 00:09:28,520 Speaker 1: a vagina in that word from yourself. Yeah, I mean 156 00:09:28,600 --> 00:09:31,480 Speaker 1: obviously because I opened with a vagina dentat a bit. 157 00:09:34,120 --> 00:09:40,000 Speaker 1: She's a comedian, walks immediately. Right. It's easier though, too, 158 00:09:40,040 --> 00:09:42,640 Speaker 1: because like you just give it one thing, Like you 159 00:09:42,679 --> 00:09:46,560 Speaker 1: stop saying Stewart iss or students fight intended or what not. 160 00:09:46,640 --> 00:09:48,960 Speaker 1: Waitress is a server, you know what I mean? Or 161 00:09:49,040 --> 00:09:52,760 Speaker 1: firefighters instead of firemen, right, you know, Okay, we've got 162 00:09:52,760 --> 00:09:56,800 Speaker 1: to move towards that more podcaster. Yes, you know, yeah, 163 00:09:56,840 --> 00:10:00,440 Speaker 1: podcasts is not a thing. Podcasts sounds like an amazing 164 00:10:00,480 --> 00:10:04,199 Speaker 1: podcast though. And also I'm wearing like like I'm serving 165 00:10:04,240 --> 00:10:06,199 Speaker 1: you like a ham in one hand and like I 166 00:10:06,559 --> 00:10:09,000 Speaker 1: don't know what stew in the other, and I'm wearing 167 00:10:09,040 --> 00:10:12,280 Speaker 1: like a roughly like kind of like lunch lady, yeah 168 00:10:12,360 --> 00:10:16,120 Speaker 1: outfit where I'm like, I'm here to serve right, podcast 169 00:10:16,200 --> 00:10:25,840 Speaker 1: dress cast straighter? Okay, all right? What is a myth? 170 00:10:26,000 --> 00:10:28,280 Speaker 1: What's something people think is true? You know, to be false? 171 00:10:29,520 --> 00:10:35,920 Speaker 1: Feminists can be feminine in small fonts like sophia. You 172 00:10:35,920 --> 00:10:43,000 Speaker 1: can do better? Can you're saying they can be? Yes. 173 00:10:43,240 --> 00:10:47,400 Speaker 1: I just feel like, you know, it's very trendy to 174 00:10:47,520 --> 00:10:52,119 Speaker 1: be like feminist or you know they're hard and they're badass, 175 00:10:52,200 --> 00:10:54,520 Speaker 1: and I think that means to a lot of people 176 00:10:54,520 --> 00:10:58,600 Speaker 1: that you can't like be feminine and enjoy ship that 177 00:10:58,640 --> 00:11:01,520 Speaker 1: people think is like friver List just because it's feminine. 178 00:11:02,080 --> 00:11:05,760 Speaker 1: You can be a feminist and like makeup and shave 179 00:11:05,840 --> 00:11:08,160 Speaker 1: your legs. I feel like that's an argument make men 180 00:11:08,320 --> 00:11:10,920 Speaker 1: have more against feminism right than women themselves, because I 181 00:11:10,920 --> 00:11:12,640 Speaker 1: feel like that's when you see on Twitter, they're like, oh, 182 00:11:12,800 --> 00:11:14,959 Speaker 1: you like this, but you're a feminist because it's like 183 00:11:15,000 --> 00:11:18,120 Speaker 1: a very shallow, one dimensional I wish that was true. 184 00:11:18,720 --> 00:11:20,560 Speaker 1: I live in an ideal world. When I'm here. There's 185 00:11:20,600 --> 00:11:22,920 Speaker 1: a serial like thing that was going around of like 186 00:11:23,000 --> 00:11:26,720 Speaker 1: women posting signs being like I'm not a feminist because 187 00:11:27,280 --> 00:11:30,480 Speaker 1: it's like and they were like, because I like my husband, 188 00:11:30,679 --> 00:11:33,360 Speaker 1: because because I don't mind that he opens my jar 189 00:11:33,480 --> 00:11:35,800 Speaker 1: for me. Like these are the kind of things that 190 00:11:35,880 --> 00:11:38,400 Speaker 1: you don't think that, Like you think women should be 191 00:11:38,480 --> 00:11:42,520 Speaker 1: immune to like someone else limiting us, but no, we're 192 00:11:42,559 --> 00:11:46,400 Speaker 1: also capable of women. Okay, you're right. I assumes that 193 00:11:46,640 --> 00:11:52,760 Speaker 1: women can be terrible. Two miles. I think women are women. 194 00:11:54,320 --> 00:11:59,079 Speaker 1: It assumes that feminism is attempting to just erase all 195 00:11:59,160 --> 00:12:03,440 Speaker 1: differences between men and women and to categorize masculine things 196 00:12:03,520 --> 00:12:07,000 Speaker 1: as it's better. You know that a woman that's like, 197 00:12:08,000 --> 00:12:11,720 Speaker 1: I'm not like other girls I love b are sweeping 198 00:12:11,760 --> 00:12:17,160 Speaker 1: up football jersey, you know, like a daily back tattoo. Yeah, 199 00:12:17,720 --> 00:12:21,280 Speaker 1: like I love Rick and Morty. It's like everybody everybody 200 00:12:21,320 --> 00:12:25,520 Speaker 1: can like those. They're not gendered. Not Oh, if she 201 00:12:25,600 --> 00:12:28,040 Speaker 1: likes Rick and Morty, she's better than a girl that 202 00:12:28,200 --> 00:12:31,199 Speaker 1: just cross stitched. It's born out of a very Yeah, 203 00:12:31,240 --> 00:12:34,320 Speaker 1: I think regardless of your gender or your whatever, your 204 00:12:34,400 --> 00:12:36,240 Speaker 1: viewpoint is on it. It's born out of a very 205 00:12:36,760 --> 00:12:39,720 Speaker 1: superficial understanding of what Yeah, because you're like, I think 206 00:12:39,760 --> 00:12:42,040 Speaker 1: feminism just like when a woman stomps on the guy's 207 00:12:42,040 --> 00:12:45,160 Speaker 1: balls exactly, and I think that's it. Yeah, am getting 208 00:12:45,160 --> 00:12:47,640 Speaker 1: that right? You got it? Great? Great, That's why I'm 209 00:12:47,640 --> 00:12:50,680 Speaker 1: not feminist. Yeah, precisely. I just feel like, you know, 210 00:12:50,720 --> 00:12:53,800 Speaker 1: we're doing ourselves a disservice to like grade what kind 211 00:12:53,840 --> 00:12:56,000 Speaker 1: of feminist you are based on what your interests are 212 00:12:56,280 --> 00:12:59,679 Speaker 1: and then preferring masculine quote unquote seeming interests and also 213 00:13:00,120 --> 00:13:07,640 Speaker 1: entering interests like men have been chefs for like an artists, 214 00:13:07,960 --> 00:13:12,280 Speaker 1: more no more respected chefs for much longer than women, 215 00:13:12,360 --> 00:13:15,880 Speaker 1: but cooking somehow is considered a feminine and domestic thing. 216 00:13:16,360 --> 00:13:19,400 Speaker 1: So we're getting fucked on two levels. It's like there's 217 00:13:19,440 --> 00:13:23,319 Speaker 1: not as many women profiting from being chefs and getting 218 00:13:23,320 --> 00:13:25,440 Speaker 1: as much respect. But at the same time, if you're 219 00:13:25,440 --> 00:13:29,240 Speaker 1: a man who cooks, it's like either you're gay or 220 00:13:29,320 --> 00:13:32,360 Speaker 1: being feminine. If you're a woman who yeah, you're doing 221 00:13:32,400 --> 00:13:34,880 Speaker 1: domestic ship and you could be doing more important things 222 00:13:34,920 --> 00:13:38,120 Speaker 1: with your time, but you're not, you dumb domestic bitch. 223 00:13:38,720 --> 00:13:41,480 Speaker 1: So yeah, anyway my thoughts exactly. Oh you were saying 224 00:13:41,520 --> 00:13:45,480 Speaker 1: that's not right. Oh yeah, yeah, terrible. Alright, guys, that's 225 00:13:45,559 --> 00:13:48,280 Speaker 1: enough about here the present tense. I want to take 226 00:13:48,320 --> 00:13:52,319 Speaker 1: you into the future, where a robot named du Boris 227 00:13:52,480 --> 00:13:56,640 Speaker 1: dazzled audiences at a tech forum near Moscow. Uh and it, 228 00:13:56,920 --> 00:14:01,880 Speaker 1: you know, answered questions, danced, dem straited, skills that not 229 00:14:01,920 --> 00:14:05,800 Speaker 1: many humanoid robots have many Russians have you Yeah, also 230 00:14:06,400 --> 00:14:10,280 Speaker 1: also that Uh but yeah, I've long been disappointed by 231 00:14:11,000 --> 00:14:15,520 Speaker 1: humanoid robots. They suck at walking, They're just idiots. They're 232 00:14:15,520 --> 00:14:21,440 Speaker 1: good at dancing, doing the robot Okay, maybe not definite. 233 00:14:22,280 --> 00:14:27,720 Speaker 1: I was saying that off Mike, But well, anyways, Boris, 234 00:14:28,000 --> 00:14:32,040 Speaker 1: who had given us all hope that the future might 235 00:14:32,120 --> 00:14:36,280 Speaker 1: be here, he turned out to be a human, just 236 00:14:36,320 --> 00:14:40,000 Speaker 1: a snow oid robot. About he was just a human 237 00:14:40,200 --> 00:14:44,000 Speaker 1: in a really good Halloween. Yeah. It was a really 238 00:14:44,320 --> 00:14:48,360 Speaker 1: weird thing where like they like Russian State TV was 239 00:14:48,400 --> 00:14:51,960 Speaker 1: like check out Boris, like it's got them, And then 240 00:14:52,000 --> 00:14:54,280 Speaker 1: a lot of people in Russian are watching, They're like yo, there, 241 00:14:54,280 --> 00:14:57,000 Speaker 1: how like people who just had a very elementary understanding robots, 242 00:14:57,000 --> 00:14:59,560 Speaker 1: like we're the outward sensors so it can make sense 243 00:14:59,560 --> 00:15:02,560 Speaker 1: of where it is in space, and like why is 244 00:15:02,560 --> 00:15:06,000 Speaker 1: it making so many unnecessary movements as it dances? Like 245 00:15:06,400 --> 00:15:08,320 Speaker 1: at one point when you look at the footage, it 246 00:15:08,360 --> 00:15:11,040 Speaker 1: looks like a dude in a fucking suit pretending to 247 00:15:11,040 --> 00:15:13,480 Speaker 1: be a robot. And then like people on stage like, 248 00:15:13,480 --> 00:15:17,200 Speaker 1: whoa boris this robot? And then the the I think 249 00:15:17,240 --> 00:15:21,120 Speaker 1: the people who were organizing the technology form, We're like, well, 250 00:15:21,160 --> 00:15:23,000 Speaker 1: we never said it was like a robot. We never 251 00:15:23,040 --> 00:15:27,320 Speaker 1: said that, really, and they're like, what your headline was, 252 00:15:27,440 --> 00:15:30,480 Speaker 1: check out this crazy good robot. Yeah. They were just 253 00:15:30,560 --> 00:15:32,200 Speaker 1: like no, no, no, no, we don't we don't know. 254 00:15:32,320 --> 00:15:34,680 Speaker 1: We never said that. But the wild thing was like 255 00:15:34,720 --> 00:15:36,240 Speaker 1: when you look at the photos from the thing, you 256 00:15:36,240 --> 00:15:38,720 Speaker 1: could see the guy's neck like from in between the 257 00:15:39,040 --> 00:15:42,200 Speaker 1: helmet and like where the shoulders started the thing. But again, 258 00:15:42,280 --> 00:15:45,560 Speaker 1: you know it's fun to I guess pretend. Yeah, but 259 00:15:45,640 --> 00:15:47,880 Speaker 1: the rope, but the costume was bought from a website, 260 00:15:48,200 --> 00:15:50,160 Speaker 1: so it was like it was an expensive suit. It 261 00:15:50,200 --> 00:15:52,240 Speaker 1: wasn't a cheapass robot suit, like it was one of 262 00:15:52,240 --> 00:15:54,000 Speaker 1: the more like you had to put your money into 263 00:15:54,000 --> 00:15:56,560 Speaker 1: this home. But also, don't we have a history of 264 00:15:56,640 --> 00:16:01,640 Speaker 1: cheating with Russians. I think every America too. You guys 265 00:16:01,680 --> 00:16:03,320 Speaker 1: are the only ones that you're good a cheating. I mean, 266 00:16:03,560 --> 00:16:08,800 Speaker 1: we cheated the Olympics hardcore. We also it's true by 267 00:16:08,800 --> 00:16:12,920 Speaker 1: any means, yeah, but yeah, no we don't. Didn't. We 268 00:16:12,920 --> 00:16:15,600 Speaker 1: also pretend to have a chess robot at one point 269 00:16:15,680 --> 00:16:17,320 Speaker 1: that used to beat people, and then it turned out 270 00:16:17,360 --> 00:16:19,720 Speaker 1: it was just a chess master. The turk. I think 271 00:16:21,400 --> 00:16:24,680 Speaker 1: I think that was a Hungarian dude, Hungarian well whatever, 272 00:16:24,840 --> 00:16:29,080 Speaker 1: it's former us the mechanical turk or a tumaton chase 273 00:16:29,200 --> 00:16:31,760 Speaker 1: chess player. This is actually a thing that has been 274 00:16:31,840 --> 00:16:34,760 Speaker 1: like a hoax multiple times throughout history, and it's just 275 00:16:35,320 --> 00:16:37,080 Speaker 1: you know, they'll have a thing that looks like a 276 00:16:37,160 --> 00:16:39,920 Speaker 1: robot that will be like, can you beat the amazing 277 00:16:40,040 --> 00:16:42,760 Speaker 1: chess playing robot, and then it's just a dude like 278 00:16:42,800 --> 00:16:45,920 Speaker 1: in a suit, sitting there like playing it, and you're like, yo, 279 00:16:45,960 --> 00:16:49,560 Speaker 1: the robot sneeze. Yeah. It's It's the oldest trick and 280 00:16:49,600 --> 00:16:53,960 Speaker 1: a very simple trick, but it apparently still works because 281 00:16:53,960 --> 00:17:00,680 Speaker 1: it fooled the unfoolable RT or whatever Russian state television. 282 00:17:00,880 --> 00:17:03,480 Speaker 1: This was guy's Earthquakes have been in the news a 283 00:17:03,480 --> 00:17:07,080 Speaker 1: little bit. Uh, and that's always unnerving for us here 284 00:17:07,800 --> 00:17:11,720 Speaker 1: in l A and California. But this time, so the 285 00:17:11,800 --> 00:17:14,440 Speaker 1: last earthquake was in all the way up in Alaska, 286 00:17:14,600 --> 00:17:18,160 Speaker 1: and this time it was in Tennessee. So the middle 287 00:17:18,160 --> 00:17:20,960 Speaker 1: of the country you don't really think about in the 288 00:17:21,040 --> 00:17:25,879 Speaker 1: context of earthquakes. But long ago, eighteen eleven to eighteen 289 00:17:25,880 --> 00:17:28,000 Speaker 1: twelve and eighteen thirteen there were that's how long the 290 00:17:28,119 --> 00:17:31,520 Speaker 1: after shocks lasted for. There was this thing called the 291 00:17:31,560 --> 00:17:35,879 Speaker 1: New Madrid seismic Zone where all these towns along the 292 00:17:35,920 --> 00:17:40,000 Speaker 1: Mississippi River just got completely like swallowed by the earth 293 00:17:40,240 --> 00:17:44,720 Speaker 1: by this like seven point nine I think earthquake that 294 00:17:45,160 --> 00:17:47,880 Speaker 1: I think it's one of the top three strongest earthquakes 295 00:17:47,880 --> 00:17:51,600 Speaker 1: in the history of North America on record, and it 296 00:17:51,720 --> 00:17:55,000 Speaker 1: basically like it turned the earth. There's this thing called 297 00:17:55,040 --> 00:17:59,439 Speaker 1: liquefaction where the particles of dirt in the ground like 298 00:17:59,520 --> 00:18:03,280 Speaker 1: shakes much that they basically stopped cohering together and they 299 00:18:03,359 --> 00:18:06,840 Speaker 1: like swallow everything on top of them. I don't need this. 300 00:18:06,880 --> 00:18:11,840 Speaker 1: And there it's sent it's sent tsunami's up the Mississippi River. 301 00:18:12,400 --> 00:18:15,960 Speaker 1: It was just fucking bonkers. And so that's the thing 302 00:18:16,040 --> 00:18:20,360 Speaker 1: that they're saying, could happen again. Basically, so this earthquake 303 00:18:20,400 --> 00:18:23,360 Speaker 1: in Tennessee could be related to the New Madrid. It's 304 00:18:23,359 --> 00:18:26,480 Speaker 1: the same seismic zone or whatever. So it is like 305 00:18:26,480 --> 00:18:30,760 Speaker 1: a fault line that's running along Yeah wayow. I was like, 306 00:18:30,880 --> 00:18:33,400 Speaker 1: is that fracking? Yeah? Like no, no, no, has been 307 00:18:33,440 --> 00:18:36,480 Speaker 1: there right, yeah. But it's crazy because it's like the 308 00:18:36,520 --> 00:18:39,399 Speaker 1: most dramatic earthquake I've ever heard of, and it was 309 00:18:39,440 --> 00:18:42,280 Speaker 1: along the Mississippi River. They basically say that if this 310 00:18:42,400 --> 00:18:47,160 Speaker 1: happened today, Memphis would be gone and St. Louis would 311 00:18:47,160 --> 00:18:51,880 Speaker 1: be in ruins. What yeah, what? But like it would 312 00:18:51,880 --> 00:18:53,760 Speaker 1: just swallow up, Like when they say it would Memphis 313 00:18:53,800 --> 00:18:55,760 Speaker 1: would be gone. They're saying the damage it was just 314 00:18:55,800 --> 00:19:00,199 Speaker 1: like not the liquid liquiff. I don't know, I've been 315 00:19:00,280 --> 00:19:05,080 Speaker 1: talking about equifex thing, but I think probably those towns 316 00:19:05,119 --> 00:19:10,080 Speaker 1: aren't necessarily as much built for earthquakes. Los Angeles people 317 00:19:10,080 --> 00:19:11,840 Speaker 1: where there, like, yeah, there's earthquakes here, so we need 318 00:19:11,880 --> 00:19:15,359 Speaker 1: to retrofit everything in the event that shaking. And also 319 00:19:15,880 --> 00:19:21,480 Speaker 1: because it's landlocked, and because of the type of rock 320 00:19:21,720 --> 00:19:25,000 Speaker 1: that exists in that part of the world, which is 321 00:19:25,040 --> 00:19:30,040 Speaker 1: like limestone, the rocks don't take the shaking as well, 322 00:19:30,520 --> 00:19:34,800 Speaker 1: So rigid shale in the West is better at containing 323 00:19:34,840 --> 00:19:39,000 Speaker 1: the shock waves. Basically, well, perfect that we're blessed, yes, 324 00:19:39,040 --> 00:19:41,280 Speaker 1: you know, except we got l a though. Was just 325 00:19:41,320 --> 00:19:46,440 Speaker 1: like it's basically outlined by fault lines. So yeah, cool, yeah, 326 00:19:46,440 --> 00:19:49,600 Speaker 1: no we're all fucked. But no we're safe, guys. Yeah yeah, yeah, 327 00:19:49,640 --> 00:19:52,560 Speaker 1: forget it. But it's like you can get such good juice, 328 00:19:52,960 --> 00:19:56,320 Speaker 1: that's true. Actually have moon juice in Memphis? Do you guys? 329 00:19:56,320 --> 00:19:59,960 Speaker 1: Do you have moon juice? Doubt it? They're ribs though, 330 00:20:00,560 --> 00:20:04,200 Speaker 1: the ribs though not a game to Memphis. Tenni kee. Alright, 331 00:20:04,359 --> 00:20:06,200 Speaker 1: we're gonna take a quick break. We'll be right back 332 00:20:16,440 --> 00:20:20,040 Speaker 1: edward back and uh, did we want to talk about 333 00:20:20,359 --> 00:20:23,720 Speaker 1: the adderall sniper in chief? Well, this is a great 334 00:20:23,760 --> 00:20:25,840 Speaker 1: story because it's the intersection of things we all know 335 00:20:25,880 --> 00:20:31,520 Speaker 1: about politics and terrible open mic comedy. Yeah, and this 336 00:20:32,040 --> 00:20:36,639 Speaker 1: comedian quote unquote named Noel Castler uh took to the 337 00:20:36,720 --> 00:20:40,119 Speaker 1: stage in New York, I think, and basically just spilled 338 00:20:40,160 --> 00:20:42,600 Speaker 1: the t on like his time working on the Apprentice, 339 00:20:42,640 --> 00:20:43,720 Speaker 1: and it was like I don't give a funk about 340 00:20:43,720 --> 00:20:46,720 Speaker 1: my nda uh and let's just listen to some of 341 00:20:46,720 --> 00:20:49,320 Speaker 1: the nuggets he drops. Yeah, it's like he knew he 342 00:20:49,440 --> 00:20:53,080 Speaker 1: wanted to like get some publicity out of having this 343 00:20:53,160 --> 00:20:57,800 Speaker 1: like crazy information, and rather than doing like an interview 344 00:20:58,200 --> 00:21:01,680 Speaker 1: with ABC, he's like, I'm gonna launch my stand up 345 00:21:01,720 --> 00:21:04,840 Speaker 1: career because he didn't know how stand up worked, and 346 00:21:05,240 --> 00:21:09,240 Speaker 1: here are the results. He's a speed freak. He crushes 347 00:21:09,320 --> 00:21:11,920 Speaker 1: up his adderall and he snits it because he can't read, 348 00:21:11,960 --> 00:21:13,680 Speaker 1: so he gets really nervous when he has to read 349 00:21:13,760 --> 00:21:15,719 Speaker 1: cute guards. I'm not kidding, this is true. I had 350 00:21:15,760 --> 00:21:18,680 Speaker 1: a twenty four page n D a nondisclosure agreement. I 351 00:21:18,720 --> 00:21:21,120 Speaker 1: didn't know that he was becoming president. Now it's no way, 352 00:21:21,240 --> 00:21:24,280 Speaker 1: dumb ass. I'm telling you everything I know. So he 353 00:21:24,400 --> 00:21:26,720 Speaker 1: got and he crushes up these pills. That's why he 354 00:21:26,840 --> 00:21:28,760 Speaker 1: sniffing when you see him in debates, and when you 355 00:21:28,800 --> 00:21:30,920 Speaker 1: see him reading, it's why he's tweeting. You know, he's 356 00:21:30,920 --> 00:21:33,199 Speaker 1: like he's out of his mind. It makes sense if 357 00:21:33,200 --> 00:21:35,959 Speaker 1: you think about it. Met the amphetamine was invented by 358 00:21:36,000 --> 00:21:38,399 Speaker 1: the Nazis to keep the fighter pilots up all night 359 00:21:38,440 --> 00:21:40,840 Speaker 1: on the bombing runs, right, So it makes sense that 360 00:21:40,880 --> 00:21:43,399 Speaker 1: Trump when uses to hate tweeting the self centered rage 361 00:21:43,440 --> 00:21:48,320 Speaker 1: and four am on a toilet, So we missed a 362 00:21:48,359 --> 00:21:51,800 Speaker 1: couple of awful jokes. I'm glad super producer Nick cut 363 00:21:51,800 --> 00:21:55,440 Speaker 1: that out because there's some lame ass jokes about his 364 00:21:55,680 --> 00:21:58,880 Speaker 1: preference for women. But yeah, he also spilled some tea 365 00:21:58,880 --> 00:22:01,440 Speaker 1: about when he was doing the Miss teen US a 366 00:22:01,920 --> 00:22:06,439 Speaker 1: competition Teen USA. Mind you, he was inspecting their teeth 367 00:22:06,600 --> 00:22:10,080 Speaker 1: like the fucking Westminster Dog Show and then being like, 368 00:22:10,160 --> 00:22:13,639 Speaker 1: if you want to win, maybe in the penthouse and 369 00:22:14,000 --> 00:22:16,639 Speaker 1: people were apparently going up, and the people who went 370 00:22:16,720 --> 00:22:19,920 Speaker 1: up were performing well in the competition. Yeah, I don't 371 00:22:19,920 --> 00:22:22,560 Speaker 1: know what. The people would laugh at that story and 372 00:22:22,600 --> 00:22:25,199 Speaker 1: he would be like, no, I'm serious, which is not 373 00:22:25,600 --> 00:22:29,280 Speaker 1: usually a good stand up strategy, but it is a 374 00:22:29,320 --> 00:22:32,320 Speaker 1: fucking crazy story that this guy apparently had access. Yeah, 375 00:22:32,359 --> 00:22:35,000 Speaker 1: working on the Apprentice saw that he was snoring. I mean, 376 00:22:35,160 --> 00:22:36,840 Speaker 1: you know, who knows if this is real, but it 377 00:22:37,359 --> 00:22:40,440 Speaker 1: he was sniffing so goddamn much during those debates where 378 00:22:40,440 --> 00:22:43,720 Speaker 1: you're like, yeah, that's when everyone was like what is 379 00:22:43,720 --> 00:22:47,560 Speaker 1: going on? And that is definitely something that happens you 380 00:22:47,840 --> 00:22:51,000 Speaker 1: start getting well, I mean if you don't want yeah, 381 00:22:51,040 --> 00:22:55,359 Speaker 1: I meant doing that below, but I think that weren't 382 00:22:55,400 --> 00:22:57,000 Speaker 1: you saying, like in the eighties though, he was like 383 00:22:57,080 --> 00:23:00,520 Speaker 1: into doctor prescribed pep or something. There was that the 384 00:23:00,600 --> 00:23:02,719 Speaker 1: doctor the doctor said that da Yeah, there was a 385 00:23:02,760 --> 00:23:05,640 Speaker 1: doctor who prescribed him all sorts of pet pills and 386 00:23:05,640 --> 00:23:10,359 Speaker 1: like feel good pills, and he uh yeah, he has 387 00:23:10,440 --> 00:23:14,080 Speaker 1: like a medical record history that I think people are 388 00:23:14,080 --> 00:23:19,000 Speaker 1: trying to pull from his doctor's office. That either the 389 00:23:19,040 --> 00:23:21,560 Speaker 1: Secret Service came in and like pulled it or something 390 00:23:21,760 --> 00:23:24,159 Speaker 1: or like got rid of it. But it was that 391 00:23:24,280 --> 00:23:28,920 Speaker 1: dude who like looked all shady porn director. Yeah, yeah, 392 00:23:28,920 --> 00:23:34,880 Speaker 1: who does not look like like like your weed prescription checks. 393 00:23:35,080 --> 00:23:37,320 Speaker 1: He checks your fucking blood pressure for two seconds. Yeah, yeah, 394 00:23:37,320 --> 00:23:38,720 Speaker 1: you're good. Okay, you might want to get your blood 395 00:23:39,000 --> 00:23:42,320 Speaker 1: blood pressure. Yeah. I forget the specific details, but I 396 00:23:42,359 --> 00:23:46,720 Speaker 1: know that he was like using basically medical speed during 397 00:23:46,720 --> 00:23:50,119 Speaker 1: the eighties and then like the trail kind of went cold. 398 00:23:50,440 --> 00:23:52,840 Speaker 1: And I mean this is there's a type of celebrity 399 00:23:52,920 --> 00:23:56,879 Speaker 1: who you know, uses their influence and celebrity to you know, 400 00:23:56,920 --> 00:24:01,439 Speaker 1: get doctors to give them the good ship. Ever, celebrities 401 00:24:01,560 --> 00:24:03,160 Speaker 1: any person who grew up on the well a lot 402 00:24:03,200 --> 00:24:08,399 Speaker 1: of like teetotaling celebrities like Elvis never took illegal drugs. 403 00:24:08,520 --> 00:24:11,280 Speaker 1: He just died of a drug overdose from drugs that 404 00:24:11,400 --> 00:24:16,480 Speaker 1: like his homide doctor just prescribed dry or Dr pepper. Yeah, 405 00:24:16,480 --> 00:24:18,320 Speaker 1: I think. I mean, that's the same kind of mentality 406 00:24:18,359 --> 00:24:20,720 Speaker 1: a lot of people who get even into other prescription 407 00:24:20,760 --> 00:24:22,680 Speaker 1: drugs do because they're like, well, it's not a drug, 408 00:24:22,920 --> 00:24:24,879 Speaker 1: and it's easy to just in your mind be like, oh, 409 00:24:24,920 --> 00:24:27,160 Speaker 1: I'm not a drug addict taking these things, and that's 410 00:24:27,200 --> 00:24:32,000 Speaker 1: never gotten anyone in trouble. Yeah, except for America right now, 411 00:24:32,200 --> 00:24:34,879 Speaker 1: so we'll see, you know. And it's also like, for 412 00:24:34,920 --> 00:24:37,919 Speaker 1: sure he's on speed when he tweets, Yeah, like the 413 00:24:37,920 --> 00:24:40,320 Speaker 1: middle of the night, Like how else do you think 414 00:24:40,359 --> 00:24:44,240 Speaker 1: that happens? Yeah, I thought he's a man with incredibly 415 00:24:44,280 --> 00:24:48,880 Speaker 1: poor nutrition, Like of course he would be asleep, Like 416 00:24:48,960 --> 00:24:50,600 Speaker 1: do you know what I mean, Like he doesn't eat 417 00:24:50,640 --> 00:24:53,240 Speaker 1: well enough to have energy. He doesn't exercise, he doesn't 418 00:24:53,240 --> 00:24:57,480 Speaker 1: believe in it. He believes that exercise wears out your machinery. Right, 419 00:24:57,920 --> 00:25:00,119 Speaker 1: So if you don't believe in any of those things, 420 00:25:00,119 --> 00:25:02,439 Speaker 1: I can't imagine you have enough energy to run the country. 421 00:25:02,960 --> 00:25:05,400 Speaker 1: So of course you're going to be a speed at it. Well, 422 00:25:05,400 --> 00:25:07,679 Speaker 1: there's also that thing he said that he only needs, like, what, 423 00:25:07,840 --> 00:25:09,800 Speaker 1: three hours of sleep at night. I wonder if that's 424 00:25:09,800 --> 00:25:12,600 Speaker 1: a lie he created, because he's just covered up, whacked 425 00:25:12,600 --> 00:25:16,240 Speaker 1: out all night. Only three hours of sleep exactly. And 426 00:25:16,280 --> 00:25:19,280 Speaker 1: I need a screwdriver and some old TVs. A lot 427 00:25:19,280 --> 00:25:23,159 Speaker 1: of porn, a lot of poorn. And there's also the 428 00:25:23,280 --> 00:25:26,880 Speaker 1: dude who he wanted to give the entire Veterans Affairs 429 00:25:26,920 --> 00:25:30,359 Speaker 1: department too, who ended up having to pull himself from contentions. 430 00:25:30,880 --> 00:25:34,280 Speaker 1: Doctor Ronnie, I think was the name something. One of 431 00:25:34,320 --> 00:25:36,400 Speaker 1: the things that he got in trouble for was being 432 00:25:36,440 --> 00:25:40,040 Speaker 1: like a doctor feel good hand pills, and a lot 433 00:25:40,040 --> 00:25:41,960 Speaker 1: of people were like that. It's funny because there are 434 00:25:41,960 --> 00:25:44,440 Speaker 1: a lot of people on other administrations were like, yeah, 435 00:25:44,520 --> 00:25:48,200 Speaker 1: well you know, yeah, take those flights, something to go sleep, 436 00:25:48,240 --> 00:25:50,359 Speaker 1: you need something to stay up. No, I don't doubt that. 437 00:25:50,600 --> 00:25:53,160 Speaker 1: So I gotta say doctor feel Good always sounds amazing 438 00:25:53,240 --> 00:25:58,919 Speaker 1: as a job. He's not a bad guy, he's making good. 439 00:25:58,920 --> 00:26:04,399 Speaker 1: Call it something more nefariously. Yeah, the killer of Prince right, Yeah, 440 00:26:04,880 --> 00:26:12,520 Speaker 1: the doctor yeah killed the King of pop and Prince. 441 00:26:13,640 --> 00:26:16,920 Speaker 1: It's not the same doctor, but doctor doctors, doctors who 442 00:26:16,960 --> 00:26:21,280 Speaker 1: just didn't know how to say no. Enabler doctors. Yeah, alright, 443 00:26:22,640 --> 00:26:30,560 Speaker 1: yeah exactly, doctor murder earl. Yeah, it's got we'll workshop that. 444 00:26:31,440 --> 00:26:33,360 Speaker 1: I think we I think we got it. Okay, let's 445 00:26:33,359 --> 00:26:37,399 Speaker 1: print move forward from here. Uh, let's talk about am I. 446 00:26:38,000 --> 00:26:40,399 Speaker 1: This is a company that we've been talking about for 447 00:26:40,440 --> 00:26:45,000 Speaker 1: a long time, since before they were in the National spotlight. 448 00:26:45,480 --> 00:26:49,000 Speaker 1: This is run by a dude named David Pecker who 449 00:26:49,359 --> 00:26:52,840 Speaker 1: is a friend of Donald Trump. Uh and am I 450 00:26:52,920 --> 00:27:00,240 Speaker 1: publishes National Enquirer except I think okay, yeah, they're like 451 00:27:00,760 --> 00:27:05,520 Speaker 1: two tablets that a yeah. But anyways, he's gotten pulled 452 00:27:05,560 --> 00:27:12,480 Speaker 1: into the entire Trump investigation because he was basically catching 453 00:27:12,560 --> 00:27:15,639 Speaker 1: killing stories to try and protect Trump. So he would 454 00:27:15,640 --> 00:27:18,440 Speaker 1: buy a story and then just not run it in 455 00:27:18,600 --> 00:27:21,919 Speaker 1: order to protect Trump from, you know, having that story 456 00:27:22,119 --> 00:27:24,880 Speaker 1: told to another outlet. Right. Well, in this case, now 457 00:27:24,920 --> 00:27:28,240 Speaker 1: they're saying he's involved now because it's an illegal campaign 458 00:27:28,359 --> 00:27:32,720 Speaker 1: contribution by paying money for someone to alter or influence 459 00:27:32,760 --> 00:27:35,720 Speaker 1: the outcome of an election. Uh. And yeah, he got 460 00:27:35,720 --> 00:27:38,560 Speaker 1: caught up in all this ship and we find out, oh, 461 00:27:38,680 --> 00:27:41,360 Speaker 1: he has an immunity deal and he's ready to talk 462 00:27:41,400 --> 00:27:44,199 Speaker 1: about all that that's happened. So at first we know 463 00:27:44,280 --> 00:27:46,879 Speaker 1: Michael Cohen got done for doing that, but there's a 464 00:27:46,920 --> 00:27:48,720 Speaker 1: lot to say that, oh, well, he's a liar, so 465 00:27:48,960 --> 00:27:51,359 Speaker 1: we can't really trust his testimony. But now you have 466 00:27:51,400 --> 00:27:53,480 Speaker 1: people like David Pecker who's like, well, I can tell 467 00:27:53,480 --> 00:27:56,639 Speaker 1: you everything, and we have receipts. And there's also his 468 00:27:56,840 --> 00:28:00,640 Speaker 1: like second in command, who also has immunity and can testify. 469 00:28:01,160 --> 00:28:03,919 Speaker 1: But the whole thing with Cohen's plea basically makes it 470 00:28:03,960 --> 00:28:05,800 Speaker 1: hot for a lot of other entities. So am I 471 00:28:05,880 --> 00:28:08,479 Speaker 1: was the first one. They've basically are now caught up 472 00:28:08,520 --> 00:28:11,960 Speaker 1: in this and are working with the investigators and also 473 00:28:12,040 --> 00:28:15,720 Speaker 1: the Trump organization itself. And now, like you know, granted 474 00:28:15,760 --> 00:28:18,760 Speaker 1: Trump is one of the part of that executive body 475 00:28:18,840 --> 00:28:21,200 Speaker 1: that runs the organization, but the other people who work 476 00:28:21,280 --> 00:28:23,679 Speaker 1: there and are part of that decision making are his 477 00:28:23,800 --> 00:28:27,040 Speaker 1: children's that he loves. Uh So that's Ivanka Eric I 478 00:28:27,040 --> 00:28:30,080 Speaker 1: don't know if he loves him, and yeah, and the 479 00:28:30,080 --> 00:28:33,879 Speaker 1: other yeah, and the two are exactly. And then also 480 00:28:33,920 --> 00:28:36,120 Speaker 1: this other guy, Alan Weisselberg, who has been the CFO 481 00:28:36,160 --> 00:28:39,720 Speaker 1: of the Trump organization forever. He was like Fred Trump's accountant. 482 00:28:40,280 --> 00:28:44,280 Speaker 1: This guy, uh, Weisselberg also has immunity. So you've got 483 00:28:44,320 --> 00:28:47,479 Speaker 1: like basically like three other people besides Cohen who can 484 00:28:47,480 --> 00:28:50,160 Speaker 1: actually attest to what happened and basically say like, yeah, 485 00:28:50,240 --> 00:28:52,840 Speaker 1: this motherfucker is directly implicated in this felony. He was 486 00:28:52,880 --> 00:28:56,240 Speaker 1: all done at his direction. Uh, So yeah, we'll see 487 00:28:56,240 --> 00:28:58,920 Speaker 1: what happens there. And I think that has also led 488 00:28:58,920 --> 00:29:01,320 Speaker 1: to a lot of people, like especially the GOP, did 489 00:29:01,480 --> 00:29:05,280 Speaker 1: begin kind of having to check how they're defending this president, 490 00:29:05,480 --> 00:29:07,440 Speaker 1: because first you have people like or and Hatch was like, 491 00:29:07,480 --> 00:29:09,640 Speaker 1: I don't care, even if it's like he's like the 492 00:29:09,680 --> 00:29:11,480 Speaker 1: Democrats are trying to smear this guy, and like the 493 00:29:11,520 --> 00:29:13,800 Speaker 1: report is like this is the southern district of New York. 494 00:29:13,800 --> 00:29:16,000 Speaker 1: Who's pointing this out as I don't care? And then 495 00:29:16,000 --> 00:29:18,680 Speaker 1: grass Lee is also, remember right, remember because he's white, 496 00:29:18,680 --> 00:29:22,400 Speaker 1: it's all good. And then but then Marco Rubio is like, well, 497 00:29:22,440 --> 00:29:24,920 Speaker 1: we have laws, so maybe you know, if you break 498 00:29:24,960 --> 00:29:27,520 Speaker 1: the laws, I guess like maybe you should like answer 499 00:29:27,560 --> 00:29:29,840 Speaker 1: to said laws. I don't know, like not really putting 500 00:29:29,880 --> 00:29:32,719 Speaker 1: his foot in, but definitely not defending him. Uh. And 501 00:29:32,760 --> 00:29:35,400 Speaker 1: also Bill Cassidy was also kind of saying the same thing. 502 00:29:35,720 --> 00:29:38,760 Speaker 1: So I think it's got Trump a little worried. But 503 00:29:38,800 --> 00:29:42,480 Speaker 1: do you also think that like part of him when 504 00:29:43,280 --> 00:29:46,200 Speaker 1: they did the catch and kill on the story of 505 00:29:46,280 --> 00:29:50,959 Speaker 1: him with the newest like with the Playboy, asked Kary mcduell, 506 00:29:51,120 --> 00:29:53,600 Speaker 1: don't you think part of Trump was like mad that 507 00:29:53,600 --> 00:29:55,920 Speaker 1: that news didn't get out because he was like, how 508 00:29:55,960 --> 00:29:58,800 Speaker 1: are people not gonna know? I hit that was Also 509 00:29:58,800 --> 00:30:01,080 Speaker 1: it's a ten year old fucking worry. Also, I mean 510 00:30:01,240 --> 00:30:03,480 Speaker 1: I saw her picture and I was like, he definitely 511 00:30:03,480 --> 00:30:07,560 Speaker 1: wants this to get out. Yeah. Yeah, it was pretty good, right, 512 00:30:07,720 --> 00:30:09,600 Speaker 1: I don't know, nothing happened, is very simple transaction. I 513 00:30:09,640 --> 00:30:12,000 Speaker 1: don't know nothing's wrong, but if there was a transaction, 514 00:30:12,480 --> 00:30:14,560 Speaker 1: it was pretty good at it. Well. Yeah, and I 515 00:30:14,600 --> 00:30:17,200 Speaker 1: think when you see just how how it's getting closer 516 00:30:17,240 --> 00:30:19,960 Speaker 1: and closer, we're seeing bigger chunks of his like fake 517 00:30:20,000 --> 00:30:23,480 Speaker 1: facade statue start to crumble. You know, he's apparently, according 518 00:30:23,520 --> 00:30:26,600 Speaker 1: to NBC, they're saying he's really confided in close aids 519 00:30:26,640 --> 00:30:30,360 Speaker 1: that he is very worried about impeachment. Now he's like, uh, 520 00:30:31,360 --> 00:30:34,640 Speaker 1: I didn't know. I couldn't do that, right, So maybe 521 00:30:34,680 --> 00:30:37,080 Speaker 1: we'll see what happens. We'll see, you know, we've got 522 00:30:37,080 --> 00:30:40,240 Speaker 1: the new Congress coming in new year, so we shall 523 00:30:40,520 --> 00:30:43,840 Speaker 1: see where they take it. But yeah, it's definitely looking 524 00:30:44,480 --> 00:30:48,440 Speaker 1: like it's getting closer and closer to Mr Trump. Mm hmm. So, 525 00:30:48,760 --> 00:30:52,400 Speaker 1: speaking of it being close to the end of the year, 526 00:30:53,400 --> 00:30:57,440 Speaker 1: Time Magazine has released their Man of the Year Person 527 00:30:57,640 --> 00:31:01,800 Speaker 1: of the Year award and it's basically a combination of 528 00:31:01,920 --> 00:31:06,200 Speaker 1: journalists who you know suffered or died to you know, 529 00:31:06,360 --> 00:31:13,560 Speaker 1: fight injustice, Jamal Kashoji being one of them. And uh, 530 00:31:13,680 --> 00:31:15,680 Speaker 1: that kind of ties into the next story we wanted 531 00:31:15,680 --> 00:31:19,080 Speaker 1: to talk about, because the Senate has now decided to 532 00:31:19,160 --> 00:31:23,640 Speaker 1: care about Saudi Arabia. Uh. And it's not totally clear 533 00:31:24,320 --> 00:31:29,200 Speaker 1: why they're now like deciding to worry about people from Yemen, 534 00:31:29,960 --> 00:31:33,080 Speaker 1: but they are, which is good. It's just a matter 535 00:31:33,120 --> 00:31:35,520 Speaker 1: of like, how are they going to justify it? I 536 00:31:35,520 --> 00:31:37,200 Speaker 1: guess yeah, I want how do you move forward? Because 537 00:31:37,280 --> 00:31:40,480 Speaker 1: so they Senate passed a resolution using the War Powers 538 00:31:40,520 --> 00:31:44,640 Speaker 1: Act or the War Powers Resolution to end US cooperation 539 00:31:44,680 --> 00:31:48,240 Speaker 1: with the Saudis in Yemen. Now this isn't the end 540 00:31:48,320 --> 00:31:50,680 Speaker 1: because there's also a similar bill in the House I 541 00:31:50,680 --> 00:31:53,560 Speaker 1: would have to pass. But the Republicans have procedurally done 542 00:31:53,600 --> 00:31:56,160 Speaker 1: a lot to Basically they're doing a lot of trickery 543 00:31:56,200 --> 00:31:58,040 Speaker 1: to make sure it doesn't come to a vote. But 544 00:31:58,160 --> 00:32:00,280 Speaker 1: those things can change once the Democrats are in the 545 00:32:00,320 --> 00:32:03,320 Speaker 1: majority come next year. But it's odd because, you know, 546 00:32:03,360 --> 00:32:06,640 Speaker 1: in the beginning, when a lot of even Democrats senators 547 00:32:06,640 --> 00:32:09,240 Speaker 1: were confronted with the evidence of what's happening in Yemen 548 00:32:09,360 --> 00:32:12,520 Speaker 1: over the what past three years, they were like, I no, no, 549 00:32:12,600 --> 00:32:15,880 Speaker 1: I don't know. Uh. And then suddenly, like afterhog, people 550 00:32:15,880 --> 00:32:21,520 Speaker 1: are like, oh, okay, well let's like that's what that means. Yeah. Well, 551 00:32:21,560 --> 00:32:23,920 Speaker 1: and then now it's like, well, what what reason now 552 00:32:24,280 --> 00:32:27,520 Speaker 1: have are they using to begin reevaluating this relationship with 553 00:32:27,560 --> 00:32:31,160 Speaker 1: Saudi Arabia? Is it the oh, you know, it was 554 00:32:31,200 --> 00:32:34,280 Speaker 1: okay when like tens of thousands of civilians are dying 555 00:32:34,360 --> 00:32:38,240 Speaker 1: needlessly and children are dying of starvation and widespread famine, 556 00:32:38,680 --> 00:32:41,440 Speaker 1: that's fine. But now that this journalist got kill, will 557 00:32:41,480 --> 00:32:44,400 Speaker 1: hold on? Now is the calculus that we need Saudi 558 00:32:44,400 --> 00:32:47,200 Speaker 1: Arabia as like a strategic ally or is it the 559 00:32:47,240 --> 00:32:50,400 Speaker 1: freedom of the press angle? Or is it you know, like, 560 00:32:50,600 --> 00:32:53,320 Speaker 1: it's weird to see how they're gonna begin to articulate 561 00:32:53,400 --> 00:32:56,520 Speaker 1: why they're suddenly now there's the votes, especially in the 562 00:32:56,600 --> 00:33:01,000 Speaker 1: Senate to try and do something. It's just embarrassment, right, Well, 563 00:33:01,040 --> 00:33:03,760 Speaker 1: of course, yeah, I mean the pressure, the pressure clearly 564 00:33:03,800 --> 00:33:06,480 Speaker 1: got to a point where they're like, the Kaushog thing happened, 565 00:33:06,480 --> 00:33:07,640 Speaker 1: and then now people are looking at all this other 566 00:33:07,680 --> 00:33:09,200 Speaker 1: ship and they're like, ye know, what the funk is 567 00:33:09,240 --> 00:33:12,280 Speaker 1: going on? Right? There was that picture of the starving 568 00:33:12,320 --> 00:33:16,080 Speaker 1: girl who was starving because Saudi Arabia had been just 569 00:33:16,320 --> 00:33:18,680 Speaker 1: bombing the ship out of her town and Yemen and 570 00:33:19,200 --> 00:33:20,840 Speaker 1: and the ports where any of the aid was going 571 00:33:20,880 --> 00:33:23,880 Speaker 1: to come, right, and you know, she was on the 572 00:33:23,880 --> 00:33:26,600 Speaker 1: front page of the New York Times and captivated a 573 00:33:26,600 --> 00:33:28,960 Speaker 1: lot of people's attention and was just one of the 574 00:33:28,960 --> 00:33:32,880 Speaker 1: most horrifying pictures you've ever seen. And then she died 575 00:33:33,360 --> 00:33:38,280 Speaker 1: on November one. Hashog died on October two. So it's like, 576 00:33:38,880 --> 00:33:43,680 Speaker 1: you knowhowg brought attention to this conflict and to Saudi 577 00:33:43,720 --> 00:33:49,440 Speaker 1: Arabia being uh, just international funck boys. And so then 578 00:33:49,560 --> 00:33:53,000 Speaker 1: like the New York Times was motivated to, you know, 579 00:33:53,080 --> 00:33:56,720 Speaker 1: send more resources to Yemen. And maybe it's just like 580 00:33:56,800 --> 00:33:59,240 Speaker 1: the freedom of the press sort of working. I think 581 00:33:59,320 --> 00:34:02,000 Speaker 1: it's just that the Hahog thing made it too hot 582 00:34:02,040 --> 00:34:04,360 Speaker 1: for them that they finally had to acknowledge how bad 583 00:34:04,400 --> 00:34:06,560 Speaker 1: the Yemen ship was too. And I don't think they 584 00:34:06,600 --> 00:34:09,799 Speaker 1: really gave a fuck because it was only public outrage, 585 00:34:09,920 --> 00:34:12,239 Speaker 1: because I mean, pictures had existed for years, so if 586 00:34:12,280 --> 00:34:13,960 Speaker 1: you really wanted, if you wanted to get there, you 587 00:34:13,960 --> 00:34:17,960 Speaker 1: could figure out what was happening. So it's a dark outcome. 588 00:34:18,000 --> 00:34:20,400 Speaker 1: You're like, well, I'm glad it happened, but you know, 589 00:34:20,480 --> 00:34:22,040 Speaker 1: like what's going on the other thing too? Is I 590 00:34:22,080 --> 00:34:24,120 Speaker 1: wonder if they're gonna just solely be like, well, it's 591 00:34:24,120 --> 00:34:27,160 Speaker 1: all MBS, you see, that's the problem. That way they 592 00:34:27,160 --> 00:34:30,040 Speaker 1: can keep the status quo in terms of the relationship, 593 00:34:30,120 --> 00:34:33,200 Speaker 1: the elite alliance between the US and Saudi Arabian just 594 00:34:33,239 --> 00:34:35,400 Speaker 1: be like, whoa is MBS. That has to go and 595 00:34:35,440 --> 00:34:38,000 Speaker 1: that's the problem. But are you just gonna ignore anything 596 00:34:38,040 --> 00:34:41,160 Speaker 1: that's happened before that? It's you know, we'll see what, 597 00:34:41,400 --> 00:34:43,520 Speaker 1: you know, Like, are we really going to actually reevaluate 598 00:34:43,560 --> 00:34:47,239 Speaker 1: the relationship between the two countries. I don't think we're 599 00:34:47,239 --> 00:34:50,000 Speaker 1: going to go to war with MBS or yeah no, 600 00:34:50,040 --> 00:34:52,239 Speaker 1: but I mean, and Saudi Arabia is not going to 601 00:34:52,320 --> 00:34:55,839 Speaker 1: back down from what I mean, if the US spearheaded 602 00:34:55,840 --> 00:34:57,879 Speaker 1: a thing to be like, Yo, you're sucking up my man. 603 00:34:58,600 --> 00:35:00,920 Speaker 1: That's a that's a that's a it's a huge shift. 604 00:35:01,280 --> 00:35:04,439 Speaker 1: But I think also to the fact there's also way 605 00:35:04,480 --> 00:35:08,120 Speaker 1: too much money in like the defense industry that is 606 00:35:08,120 --> 00:35:11,359 Speaker 1: being used in lobbying to keep this thing going on, 607 00:35:11,400 --> 00:35:14,120 Speaker 1: because if we pull out of this conflict, that inevitably 608 00:35:14,120 --> 00:35:17,520 Speaker 1: means less arms sales or you know, there are a 609 00:35:17,520 --> 00:35:19,200 Speaker 1: lot of money isn't gonna come the other way for 610 00:35:19,239 --> 00:35:21,400 Speaker 1: people who are trying to arm this outias and they 611 00:35:21,440 --> 00:35:25,480 Speaker 1: have a stake in this too. So yeah, anyway, although 612 00:35:25,480 --> 00:35:28,080 Speaker 1: Trump's argument about like, well we have so many, so 613 00:35:28,120 --> 00:35:32,359 Speaker 1: many arms sales that we can't like stop selling them 614 00:35:32,440 --> 00:35:34,719 Speaker 1: arms or it's going to hurt our businesses, it's kind 615 00:35:34,719 --> 00:35:40,840 Speaker 1: of bullshit for like, not not just ethically but also 616 00:35:41,000 --> 00:35:45,359 Speaker 1: like militarily, Like don't worry, well, the people who make 617 00:35:45,400 --> 00:35:48,520 Speaker 1: these arms will find some group is a new customer, 618 00:35:48,719 --> 00:35:50,560 Speaker 1: and they'll lobby to put them off a list of 619 00:35:50,600 --> 00:35:53,400 Speaker 1: why we can sell them. It doesn't matter, that's not 620 00:35:53,480 --> 00:35:55,600 Speaker 1: the case. They're just like, just come on, this is 621 00:35:55,600 --> 00:35:58,000 Speaker 1: an easy customer we got. I'm a little worried that 622 00:35:58,120 --> 00:36:01,520 Speaker 1: that it's taking us like more and more every time 623 00:36:01,520 --> 00:36:05,560 Speaker 1: to care about associate a situation like we need like, oh, 624 00:36:05,600 --> 00:36:07,600 Speaker 1: this is a picture of a murder child, just like 625 00:36:07,680 --> 00:36:10,719 Speaker 1: the picture of the Syrian child washing up on shore. 626 00:36:10,760 --> 00:36:15,080 Speaker 1: It's like, do we just need to see children's bodies 627 00:36:15,200 --> 00:36:19,480 Speaker 1: graphically displaying like the fate of the country in order 628 00:36:19,480 --> 00:36:23,960 Speaker 1: for us to have any kind of real attachment to 629 00:36:24,080 --> 00:36:27,680 Speaker 1: fixing the situation? Do we only begin to care when 630 00:36:27,719 --> 00:36:31,600 Speaker 1: it's like so so dramatic and it shakes us out 631 00:36:31,600 --> 00:36:34,319 Speaker 1: of And is it getting worse because like the news 632 00:36:34,360 --> 00:36:37,440 Speaker 1: is getting crazy and crazier with like everything Trump is doing, 633 00:36:37,719 --> 00:36:39,880 Speaker 1: and it's hard to keep the same level of outrage 634 00:36:39,920 --> 00:36:41,719 Speaker 1: going all the time. So is it just that now 635 00:36:41,760 --> 00:36:44,759 Speaker 1: it's going to be even harder for us to give 636 00:36:44,760 --> 00:36:46,800 Speaker 1: a ship. Well, I think it's also on the media 637 00:36:46,880 --> 00:36:50,360 Speaker 1: to to keep reminding people. It's easy to obscure what's happening. 638 00:36:50,360 --> 00:36:52,760 Speaker 1: If you only report on ship that's going on yem 639 00:36:52,760 --> 00:36:56,000 Speaker 1: In like once every six months, you know, there's no 640 00:36:56,440 --> 00:36:59,560 Speaker 1: Most people, if they're not proactive enough and understanding what's 641 00:36:59,560 --> 00:37:02,160 Speaker 1: happening the news, they're more passive audiences. So like if 642 00:37:02,400 --> 00:37:05,160 Speaker 1: you're just talking about all this other ship, it doesn't 643 00:37:05,160 --> 00:37:08,120 Speaker 1: come to the forefront, and it takes the media being like, hey, 644 00:37:08,160 --> 00:37:09,880 Speaker 1: this ship, because I mean, look at even like with 645 00:37:09,960 --> 00:37:12,359 Speaker 1: the with gun control, there's so many kids have been 646 00:37:12,560 --> 00:37:16,399 Speaker 1: killed in mass shootings, but there's still no like yeah, well, 647 00:37:16,800 --> 00:37:18,640 Speaker 1: I don't know. I don't know what it is because 648 00:37:18,640 --> 00:37:22,759 Speaker 1: I think most people are empathetic enough, like when confronted 649 00:37:22,760 --> 00:37:24,439 Speaker 1: with that kind of ship, you'd be like, yeah, that's 650 00:37:24,440 --> 00:37:27,720 Speaker 1: not right, right, But the leaders of media is writing 651 00:37:27,719 --> 00:37:30,640 Speaker 1: about it. But also like that's not what's being presented 652 00:37:30,680 --> 00:37:32,920 Speaker 1: to us. Like when you go and see what's trending 653 00:37:32,960 --> 00:37:37,839 Speaker 1: on Twitter or whatever, I mean so frequently the things 654 00:37:37,880 --> 00:37:40,280 Speaker 1: that are being served to me in my moments or whatever, 655 00:37:40,320 --> 00:37:42,080 Speaker 1: it's like those are the things people are clicking on, 656 00:37:42,320 --> 00:37:44,960 Speaker 1: but they're all really dumb. And it's hard also from 657 00:37:45,000 --> 00:37:46,720 Speaker 1: like you have to catch yourself and be like, wait, 658 00:37:47,120 --> 00:37:52,879 Speaker 1: why am I clicking on now? Before like I click on, 659 00:37:53,320 --> 00:37:57,160 Speaker 1: Hey they murder a journalist or these people are starving 660 00:37:57,200 --> 00:38:00,439 Speaker 1: to death. So I mean it's on us, and it's 661 00:38:00,480 --> 00:38:04,400 Speaker 1: on the media like you're not. I mean yes, but 662 00:38:04,520 --> 00:38:07,600 Speaker 1: there are these huge institutions that are in place that 663 00:38:07,960 --> 00:38:10,120 Speaker 1: I don't know. It's I think it's hard for us 664 00:38:10,160 --> 00:38:14,120 Speaker 1: to hold like people to account for not being more 665 00:38:14,239 --> 00:38:17,840 Speaker 1: interested in it, because I think that's just the problem 666 00:38:17,880 --> 00:38:20,920 Speaker 1: with like Twitter being a news source or you know, 667 00:38:21,560 --> 00:38:25,560 Speaker 1: us having these algorithmically derived like yeah, yeah, but there's 668 00:38:25,600 --> 00:38:29,719 Speaker 1: also more stories than before about everything because everything is 669 00:38:29,760 --> 00:38:33,840 Speaker 1: a quote unquote like I think people have to just 670 00:38:33,840 --> 00:38:37,640 Speaker 1: confront their privilege to and understand that. I also need 671 00:38:37,680 --> 00:38:40,280 Speaker 1: to be aware of people who have a vastly nearly 672 00:38:40,320 --> 00:38:45,000 Speaker 1: antithetical existence to mine that is completely different and it's 673 00:38:45,080 --> 00:38:47,319 Speaker 1: uncomfortable I think for a lot of people to be like, 674 00:38:47,840 --> 00:38:49,680 Speaker 1: oh my god, but like I don't want to think 675 00:38:49,719 --> 00:38:51,080 Speaker 1: about it. Like I think that's the problem a lot 676 00:38:51,080 --> 00:38:52,520 Speaker 1: of people. They'll see it and they I don't really 677 00:38:52,560 --> 00:38:54,000 Speaker 1: want to think about it. I really don't want to 678 00:38:54,000 --> 00:38:56,879 Speaker 1: think about it. But you know, it's usually it's usually 679 00:38:56,920 --> 00:38:58,680 Speaker 1: not until the ship comes to your doorstep that people, 680 00:38:59,200 --> 00:39:01,480 Speaker 1: and then it's too late, right, So what do Yeah, 681 00:39:01,520 --> 00:39:05,399 Speaker 1: I don't know, just please, uh, just keep your eye 682 00:39:05,440 --> 00:39:07,640 Speaker 1: on ship. I don't know. I don't say. Man, if 683 00:39:07,640 --> 00:39:09,360 Speaker 1: you if you look at that ship and you're not 684 00:39:09,480 --> 00:39:13,239 Speaker 1: moved to do something, try and just figure out, like 685 00:39:13,280 --> 00:39:15,040 Speaker 1: you know, do what you can to try and move 686 00:39:15,040 --> 00:39:18,440 Speaker 1: in a direction where you can be more empathetic and 687 00:39:19,080 --> 00:39:22,440 Speaker 1: not just sort of tune out for your own comfort, right, 688 00:39:22,480 --> 00:39:24,800 Speaker 1: because I think that's the problem for like our own sanity, 689 00:39:24,840 --> 00:39:26,879 Speaker 1: which I know it feels like, oh, it's just part 690 00:39:26,880 --> 00:39:29,160 Speaker 1: of my self care, but it can't be part of 691 00:39:29,160 --> 00:39:32,640 Speaker 1: our self care to like not let the horrible ship 692 00:39:33,480 --> 00:39:38,480 Speaker 1: and that could make us care about other people. All Right, 693 00:39:38,600 --> 00:39:41,120 Speaker 1: we're gonna take another quick break. We'll be right back, 694 00:39:51,440 --> 00:39:54,440 Speaker 1: and we're back, and we just wanted to check in 695 00:39:54,680 --> 00:39:59,520 Speaker 1: real quick with a real world villain who puts any 696 00:39:59,560 --> 00:40:04,840 Speaker 1: movie villain that has ever been invented to shame, except 697 00:40:04,880 --> 00:40:07,759 Speaker 1: he's like, I guess not, he wouldn't make a good 698 00:40:07,760 --> 00:40:11,560 Speaker 1: movie villain because he's like, unless you could kill somebody 699 00:40:11,600 --> 00:40:15,560 Speaker 1: with douche chills, which I think this guy might actually 700 00:40:15,719 --> 00:40:19,799 Speaker 1: succeed in doing one day. Yeah, so this dude is 701 00:40:20,440 --> 00:40:25,920 Speaker 1: kind of the architect of the GOP's economic argument against 702 00:40:26,160 --> 00:40:30,040 Speaker 1: fifteen hourly minimum. They picked the worst guy, so like, 703 00:40:30,120 --> 00:40:36,160 Speaker 1: on yeah, on Wednesday, the House Education and Workforce Committee, 704 00:40:36,360 --> 00:40:39,640 Speaker 1: they had to postpone their presentation where they had this 705 00:40:39,760 --> 00:40:42,839 Speaker 1: Kuk economists come up and be like, oh my god, 706 00:40:42,880 --> 00:40:45,480 Speaker 1: if you start paying people fifteen bucks an hour minimum wage, 707 00:40:45,480 --> 00:40:50,000 Speaker 1: I mean, say goodbye to everything right, because I'm telling 708 00:40:50,040 --> 00:40:54,399 Speaker 1: you equality doesn't work. Uh. And the reason they had 709 00:40:54,440 --> 00:40:57,600 Speaker 1: to postpone it is because people started looking into this 710 00:40:57,680 --> 00:41:00,920 Speaker 1: man's past and found a weird blog he used to 711 00:41:00,920 --> 00:41:03,719 Speaker 1: write called No Shades of Gray or Zero Shades of 712 00:41:03,760 --> 00:41:06,920 Speaker 1: Gray that was like it self described, was like the 713 00:41:07,120 --> 00:41:12,000 Speaker 1: like no holds barred conservative blog, and he had some 714 00:41:12,360 --> 00:41:18,120 Speaker 1: problematic automatic takes that were I mean, so there's one 715 00:41:18,239 --> 00:41:21,160 Speaker 1: entry where he talks about in response to a story 716 00:41:21,200 --> 00:41:25,440 Speaker 1: about fast food restaurants having to begin listing calories on food, 717 00:41:25,440 --> 00:41:28,239 Speaker 1: He's like, oh, what's next. You know, the government's overreaching. 718 00:41:28,600 --> 00:41:30,200 Speaker 1: I guess at this point there should be a gay 719 00:41:30,280 --> 00:41:34,040 Speaker 1: sex tax, and wrote this really long thing about it. 720 00:41:34,760 --> 00:41:37,239 Speaker 1: Um and it says, I don't just read you a 721 00:41:37,239 --> 00:41:39,560 Speaker 1: little bit. You understand where this where the geniuses on 722 00:41:39,560 --> 00:41:41,720 Speaker 1: the GIOPI are coming from. It says, in gay sex, 723 00:41:41,760 --> 00:41:44,680 Speaker 1: we have an activity that is clearly leading to disastrous 724 00:41:44,680 --> 00:41:47,879 Speaker 1: health consequences. What rational person would engage in this sort 725 00:41:47,920 --> 00:41:51,520 Speaker 1: of activity. There's only one solution, Let's tax it. So 726 00:41:51,560 --> 00:41:56,279 Speaker 1: he's lining the not just having a fucking deeply homophobic 727 00:41:56,320 --> 00:41:59,520 Speaker 1: take on that. But you know, the government's stepping in 728 00:41:59,560 --> 00:42:02,200 Speaker 1: because too much calories is bad for us. And then 729 00:42:02,239 --> 00:42:04,400 Speaker 1: he says, come on, Sabia, you say his name is 730 00:42:04,440 --> 00:42:06,920 Speaker 1: Joseph Sabia. How are you going to enforce these taxes? 731 00:42:06,920 --> 00:42:10,359 Speaker 1: You're gonna send government officials to peep in everyone's bedroom eventually, 732 00:42:10,520 --> 00:42:13,359 Speaker 1: but first we have to mount the assault on big gay. No, 733 00:42:13,560 --> 00:42:19,279 Speaker 1: I'm not talking about Rosie O'Donnell. We can tax websites, 734 00:42:19,560 --> 00:42:23,759 Speaker 1: personal ads, sexual So anyway, this guy's out here only 735 00:42:23,800 --> 00:42:27,239 Speaker 1: have like two punch lines. That's crazy how bad they 736 00:42:27,239 --> 00:42:29,040 Speaker 1: are because I don't know if you noticed, they're not 737 00:42:29,120 --> 00:42:34,120 Speaker 1: good at comedy. Comedy requires empathy, right, yeah, I really, 738 00:42:34,320 --> 00:42:37,160 Speaker 1: I just don't understand. There's no the creativity coming from 739 00:42:37,160 --> 00:42:41,440 Speaker 1: the right. I don't understand why it's so terrible, right, Like, 740 00:42:41,480 --> 00:42:43,600 Speaker 1: there's not remember that it's okay to be white guy. 741 00:42:43,680 --> 00:42:46,240 Speaker 1: That track was kind of a banger, but not really. 742 00:42:46,239 --> 00:42:51,359 Speaker 1: He was ripping off existing material. You know, there's no Beyonce, right. 743 00:42:51,920 --> 00:42:54,400 Speaker 1: Do you remember how sad it was when Trump was 744 00:42:54,440 --> 00:42:57,640 Speaker 1: trying to book musical acts for the inauguration because no, 745 00:42:58,640 --> 00:43:03,440 Speaker 1: people like wingers make good music, right exactly, He's like 746 00:43:03,800 --> 00:43:06,560 Speaker 1: Ted new June. I guess I don't know he's going 747 00:43:06,600 --> 00:43:10,680 Speaker 1: to play a machine gun. But then he also this 748 00:43:10,719 --> 00:43:14,759 Speaker 1: man Joseph Sabia, the economist, Um, he also he's like 749 00:43:14,800 --> 00:43:16,919 Speaker 1: an in cell to like a very early in cell, 750 00:43:17,040 --> 00:43:21,439 Speaker 1: just based on his description of like college women. Uh. 751 00:43:21,440 --> 00:43:25,200 Speaker 1: It says, as women have strayed from the church, Okay, 752 00:43:25,320 --> 00:43:27,759 Speaker 1: they have. They have replaced what is holy with what 753 00:43:27,880 --> 00:43:30,880 Speaker 1: is temporarily pleasing. For Catholics, the model woman was married 754 00:43:31,160 --> 00:43:33,320 Speaker 1: the virgin Mother of God. She's beloved by the faithful 755 00:43:33,560 --> 00:43:36,760 Speaker 1: for her unflappable devotion to and trust in God. Okay, 756 00:43:36,960 --> 00:43:39,600 Speaker 1: keeps going, keeps going, And says today's college girl looks 757 00:43:39,640 --> 00:43:43,560 Speaker 1: to Ali McBeal, the trollops of the sex of sex 758 00:43:43,560 --> 00:43:46,320 Speaker 1: in the city and the flooz. He's on friends to 759 00:43:46,480 --> 00:43:50,319 Speaker 1: set their moral compasses. Additionally, other sex based relationships have 760 00:43:50,360 --> 00:43:53,240 Speaker 1: become commonplace. In recent years. A new and disturbing arrangement 761 00:43:53,280 --> 00:43:58,000 Speaker 1: known as quote friends with benefits has emerged. In this arrangement, 762 00:43:58,080 --> 00:44:00,440 Speaker 1: men are not even forced to perform the normal duties 763 00:44:00,480 --> 00:44:03,160 Speaker 1: of boyfriends, i e. Flowers, Valentine's Day cards, rides to 764 00:44:03,200 --> 00:44:07,520 Speaker 1: the abortion clinic. Okay, uh and it said and said, 765 00:44:07,520 --> 00:44:09,840 Speaker 1: girls consider these guys just friends. Whom they happen to 766 00:44:09,880 --> 00:44:12,400 Speaker 1: screw every now and again. This type of arrangement is 767 00:44:12,400 --> 00:44:14,560 Speaker 1: the next logical step in the direction that young women 768 00:44:14,560 --> 00:44:17,120 Speaker 1: have drifted in the last few decades. These women have 769 00:44:17,239 --> 00:44:20,600 Speaker 1: become unpaid horse. At least prostitutes made a buck off 770 00:44:20,640 --> 00:44:24,719 Speaker 1: of their trade. These women just gave it away. So 771 00:44:24,840 --> 00:44:28,280 Speaker 1: that's the kinds of people that they have to present 772 00:44:28,360 --> 00:44:32,920 Speaker 1: as experts on ship. Everyone's they're just you know, really 773 00:44:32,920 --> 00:44:38,360 Speaker 1: bad open on not ever getting any Yeah. So again, 774 00:44:38,960 --> 00:44:41,480 Speaker 1: just the kinds of experts, only the best people, and 775 00:44:41,800 --> 00:44:44,400 Speaker 1: everyone has this like shitty in cell background. I guess 776 00:44:45,160 --> 00:44:47,200 Speaker 1: let's go with a new story that that guy would 777 00:44:47,200 --> 00:44:51,880 Speaker 1: not be able to make sense of that in his worldview. 778 00:44:52,200 --> 00:44:56,040 Speaker 1: And that is a recent statistical analysis that found that 779 00:44:56,120 --> 00:45:01,480 Speaker 1: women led films do better at the box office. Sophia 780 00:45:01,600 --> 00:45:09,680 Speaker 1: is opening a bag of pirates. I had to let 781 00:45:09,719 --> 00:45:11,640 Speaker 1: people know as a lot of tension in this room. 782 00:45:11,719 --> 00:45:14,200 Speaker 1: It's a lot of tension because this pirate's booty is 783 00:45:14,239 --> 00:45:18,640 Speaker 1: looking at me to be gobbled up. So yeah, so 784 00:45:18,680 --> 00:45:22,000 Speaker 1: women are doing better all budget levels. So it's not 785 00:45:22,320 --> 00:45:26,160 Speaker 1: just you know, blockbuster movies, it's all budget levels. It's 786 00:45:26,200 --> 00:45:29,839 Speaker 1: almost like women are fifty percent of the population are 787 00:45:30,320 --> 00:45:36,080 Speaker 1: as relevant to the human experience. That's crazy. Whoa feminist? 788 00:45:36,560 --> 00:45:41,760 Speaker 1: What's that about the ship? But movie studios are paid, 789 00:45:42,080 --> 00:45:46,439 Speaker 1: like movie executives are paid to read the zeitgeist, and 790 00:45:46,960 --> 00:45:50,520 Speaker 1: they have spent the last like, I don't know, five 791 00:45:50,760 --> 00:45:56,799 Speaker 1: ten decades, uh, saying that like women led movies don't 792 00:45:56,840 --> 00:46:01,560 Speaker 1: do as well. Right, And then finally enough movies that 793 00:46:01,719 --> 00:46:05,279 Speaker 1: star women have come out and they did a statistical analysis, 794 00:46:05,280 --> 00:46:08,360 Speaker 1: and I still I still doubt that this changes anything. 795 00:46:08,560 --> 00:46:12,080 Speaker 1: But uh yeah, I mean yeah, there's also I think 796 00:46:12,120 --> 00:46:16,160 Speaker 1: that whole thing also showed clear it's still white man central, yes, 797 00:46:16,400 --> 00:46:19,759 Speaker 1: but despite the fact that diverse casts and female led 798 00:46:19,800 --> 00:46:23,360 Speaker 1: casts have done way better. The other thing was that 799 00:46:23,480 --> 00:46:28,080 Speaker 1: since every film that has gone on to pass one 800 00:46:28,120 --> 00:46:31,439 Speaker 1: billion dollars in global box office has passed the Beckdel test, 801 00:46:32,320 --> 00:46:34,360 Speaker 1: think about that ship too. I love that, you know 802 00:46:34,400 --> 00:46:35,960 Speaker 1: what I mean? Also shout out to the Backdell cast. 803 00:46:36,000 --> 00:46:37,120 Speaker 1: If you don't know if you want know about the 804 00:46:37,120 --> 00:46:40,280 Speaker 1: Beckdel test, check that podcast out on this here network. 805 00:46:41,080 --> 00:46:43,920 Speaker 1: But yeah, that's I didn't even realize that dimension of it. 806 00:46:44,040 --> 00:46:46,800 Speaker 1: This is a very common like thing to be told 807 00:46:47,000 --> 00:46:49,840 Speaker 1: in Hollywood, and they say it with people of color. 808 00:46:49,920 --> 00:46:53,400 Speaker 1: To my husband was making a TV show and was 809 00:46:53,880 --> 00:46:59,480 Speaker 1: casting a black woman as the lead. They were like, oh, 810 00:46:59,680 --> 00:47:02,800 Speaker 1: even black people don't like to watch black people on TV. 811 00:47:03,040 --> 00:47:07,520 Speaker 1: Oh I'm sorry, white guy, what are you saying? What 812 00:47:07,600 --> 00:47:10,400 Speaker 1: do you mean? How could that possibly be true in 813 00:47:10,520 --> 00:47:14,799 Speaker 1: any way? That like, people don't want to see themselves represented. 814 00:47:14,920 --> 00:47:18,160 Speaker 1: Anybody doesn't want that. That's an insane thing. There's so 815 00:47:18,200 --> 00:47:23,840 Speaker 1: many things that show that representation matters and effects like oh, 816 00:47:23,960 --> 00:47:27,879 Speaker 1: if you can't see it, you can't be it, you know. Anyway, Well, 817 00:47:28,200 --> 00:47:30,040 Speaker 1: I think it's like, even with politics, you have this 818 00:47:30,120 --> 00:47:34,360 Speaker 1: whole subset of the old generation still basically at the levers. 819 00:47:34,800 --> 00:47:36,840 Speaker 1: They don't want to let go, even with the evidence 820 00:47:36,880 --> 00:47:38,279 Speaker 1: in front of them, Like because even now you look 821 00:47:38,280 --> 00:47:40,600 Speaker 1: at politics or like what are you talking about? People 822 00:47:40,640 --> 00:47:43,520 Speaker 1: want maternity leave or this other ship that they can't 823 00:47:43,560 --> 00:47:47,239 Speaker 1: just quite get over despite all the evidence that says 824 00:47:47,360 --> 00:47:49,480 Speaker 1: you're fucking up. And yeah, we see this too in 825 00:47:49,480 --> 00:47:52,439 Speaker 1: the entertainment industry, where many of the decision makers still 826 00:47:52,480 --> 00:47:55,320 Speaker 1: have this very terrible mindset. But I guess now is 827 00:47:55,360 --> 00:47:58,160 Speaker 1: the box office returns show, Oh well, these are winners, 828 00:47:59,040 --> 00:48:03,880 Speaker 1: profit will timately guide them to the light. Yeah. I 829 00:48:03,880 --> 00:48:06,640 Speaker 1: mean it's like you would think that profit comes first, 830 00:48:06,719 --> 00:48:09,319 Speaker 1: but I think it's like if it also affirms our 831 00:48:10,080 --> 00:48:17,080 Speaker 1: longstanding yeah, like you know, patriarchal and white people oriented world, Like, 832 00:48:17,280 --> 00:48:19,640 Speaker 1: if it confirms that, it's way easier to believe those 833 00:48:19,719 --> 00:48:24,200 Speaker 1: numbers than when it's like, hey, actually the opposite thing 834 00:48:24,320 --> 00:48:26,280 Speaker 1: is supported by numbers, and they're like, wait a minute, 835 00:48:26,320 --> 00:48:30,560 Speaker 1: that doesn't confirm to my worldview, right, yeah, And I 836 00:48:30,560 --> 00:48:36,000 Speaker 1: mean movies still remain dominated by white male actors or 837 00:48:36,040 --> 00:48:40,040 Speaker 1: white male lead movies, and there's no excuse at this 838 00:48:40,120 --> 00:48:43,600 Speaker 1: point other than just the fact that there is a 839 00:48:44,480 --> 00:48:50,880 Speaker 1: you know, residual abundance of white men in the Hollywood 840 00:48:50,920 --> 00:48:55,760 Speaker 1: like infrastructure, and the smart business thing to do would 841 00:48:55,760 --> 00:48:58,880 Speaker 1: be to have the most diverse staff and make the 842 00:48:59,000 --> 00:49:01,680 Speaker 1: most diverse movie. But you know, because it'll speak to 843 00:49:01,680 --> 00:49:03,759 Speaker 1: a multitude of people, there is an opportunity. And I 844 00:49:03,760 --> 00:49:06,360 Speaker 1: mean it's also it's more interesting. It's like the argument 845 00:49:06,400 --> 00:49:09,840 Speaker 1: for not having all male comedy lineups or all white 846 00:49:09,840 --> 00:49:13,520 Speaker 1: people comedy lineups anything. If you think you're funny now, Brad, 847 00:49:13,560 --> 00:49:16,759 Speaker 1: wait till four other brads aren't right after you. You 848 00:49:16,800 --> 00:49:19,160 Speaker 1: know what I mean, If you're confident in your talent, 849 00:49:19,239 --> 00:49:22,640 Speaker 1: then like it'll only shine when it's contrasted to other 850 00:49:22,680 --> 00:49:25,840 Speaker 1: people's talent. Yeah, this is goes back to a study 851 00:49:25,920 --> 00:49:29,040 Speaker 1: I love talking about but where they found that people 852 00:49:29,560 --> 00:49:32,480 Speaker 1: who were in more diverse groups when compared to a 853 00:49:32,520 --> 00:49:36,359 Speaker 1: control where it was people in like homogeneous groups. So 854 00:49:36,400 --> 00:49:40,719 Speaker 1: the more like similar the people were, the groups were 855 00:49:40,800 --> 00:49:43,520 Speaker 1: less successful at the task they were doing, but they 856 00:49:43,560 --> 00:49:47,000 Speaker 1: were more likely to be very confident in it. And 857 00:49:47,200 --> 00:49:49,879 Speaker 1: because it was like easy for them to yeah, we're 858 00:49:49,880 --> 00:49:52,560 Speaker 1: all on the same bridge, because they arrive at whatever 859 00:49:52,640 --> 00:49:55,640 Speaker 1: decision they wanted to arrive at that was. It was 860 00:49:55,640 --> 00:49:58,359 Speaker 1: easy because they all agreed with one another. It's just 861 00:49:58,440 --> 00:50:01,920 Speaker 1: that the product was worse. Whereas people who were in 862 00:50:01,960 --> 00:50:05,799 Speaker 1: more diverse groups had less confidence because their process was 863 00:50:05,840 --> 00:50:11,440 Speaker 1: more conflict written, but it also resulted in a better product. 864 00:50:12,040 --> 00:50:15,920 Speaker 1: And I mean this is true across everything, Like the 865 00:50:16,000 --> 00:50:19,600 Speaker 1: more diversity you have in a culture, the more open 866 00:50:20,560 --> 00:50:26,000 Speaker 1: exchange of ideas you have, the more success the more technology, 867 00:50:26,120 --> 00:50:30,640 Speaker 1: uh moves quicker than. The reason that like technology and 868 00:50:30,880 --> 00:50:34,440 Speaker 1: discoveries and medicine is moving so fast right now is 869 00:50:34,880 --> 00:50:39,080 Speaker 1: despite you know, authoritarian tendencies right now at the top 870 00:50:39,160 --> 00:50:42,560 Speaker 1: of different Western countries were still about as free as 871 00:50:42,600 --> 00:50:45,759 Speaker 1: we've ever been. And the reason there were fucking no 872 00:50:46,440 --> 00:50:49,880 Speaker 1: like technological or medical advances during the Dark Ages is 873 00:50:49,920 --> 00:50:52,920 Speaker 1: because ideas and people were not free, and it was 874 00:50:53,000 --> 00:50:56,560 Speaker 1: just a couple of you know, white people at the 875 00:50:56,600 --> 00:51:00,160 Speaker 1: top deciding who could talk to who. So yeah, look 876 00:51:00,160 --> 00:51:02,760 Speaker 1: at us now, look at us now, and the people 877 00:51:02,800 --> 00:51:05,279 Speaker 1: look hotter when you let everybody mix up, right, you 878 00:51:05,320 --> 00:51:07,680 Speaker 1: know what I mean? So also when you give them 879 00:51:07,920 --> 00:51:13,480 Speaker 1: what is it in their salt, the calcium what iodized? Yeah, 880 00:51:13,640 --> 00:51:18,960 Speaker 1: that's yeah in the Dark Ages, in the Dark Ages, 881 00:51:19,120 --> 00:51:23,080 Speaker 1: everybody had like facial goiterers because they weren't getting enough iodine. 882 00:51:23,160 --> 00:51:25,680 Speaker 1: And then once we started iodizing our salt, like, we 883 00:51:25,800 --> 00:51:32,360 Speaker 1: all became way hotter. Oh really, people look like literally characters. 884 00:51:33,920 --> 00:51:38,120 Speaker 1: Yeah yeah, wow. Yeah, that was one of the greatest 885 00:51:38,760 --> 00:51:42,400 Speaker 1: leaps forward. And that just in Western we got Gordon 886 00:51:42,440 --> 00:51:44,359 Speaker 1: faces like in Asian. I think it was just when 887 00:51:44,360 --> 00:51:46,880 Speaker 1: we started iodizing our salt, and I think that was 888 00:51:47,600 --> 00:51:49,959 Speaker 1: not happening in a lot of different places. I also 889 00:51:50,000 --> 00:51:52,360 Speaker 1: think it was probably the goiters were more common in 890 00:51:52,400 --> 00:51:57,080 Speaker 1: Western Europe because Western European people were filthy as fun, right, 891 00:51:57,200 --> 00:52:00,440 Speaker 1: right when they when they came to the New World, 892 00:52:01,120 --> 00:52:04,640 Speaker 1: they found Native American people to be like incredibly beautiful 893 00:52:04,840 --> 00:52:08,239 Speaker 1: and like clean and well kept compared to them, because 894 00:52:08,280 --> 00:52:10,520 Speaker 1: they thought bathing was bad for you, right, they thought 895 00:52:10,520 --> 00:52:13,799 Speaker 1: bathing was literally terrible for you. Like they all smelled good, 896 00:52:14,080 --> 00:52:18,200 Speaker 1: their hairs all shiny and silky. Mad. I just have 897 00:52:18,280 --> 00:52:22,840 Speaker 1: one dreadlock. You can strike a match off it. Ahead, 898 00:52:24,080 --> 00:52:27,920 Speaker 1: and just while we're on the subject of box office watch, 899 00:52:28,560 --> 00:52:31,640 Speaker 1: I wanted to talk about acclaim Netflix is making that 900 00:52:31,760 --> 00:52:38,120 Speaker 1: they're Kurt russell Christmas movie, The Christmas Chronicles, well named, 901 00:52:38,800 --> 00:52:42,000 Speaker 1: is they're claiming the number one movie of the year, 902 00:52:42,320 --> 00:52:46,240 Speaker 1: essentially because it in its first week it was viewed 903 00:52:46,560 --> 00:52:51,240 Speaker 1: twenty million times, which would be the equivalent of making 904 00:52:51,280 --> 00:52:56,160 Speaker 1: two million dollars at the box office. Um, but they didn't, right, 905 00:52:56,320 --> 00:52:58,400 Speaker 1: but they didn't. They didn't put it out in theaters, 906 00:52:58,440 --> 00:53:01,160 Speaker 1: which they totally could have done. But that's the same 907 00:53:01,200 --> 00:53:02,960 Speaker 1: thing they do with Bright too. Weren't they like, oh, 908 00:53:03,000 --> 00:53:06,560 Speaker 1: this movie would have done really well, right, right, Yeah, 909 00:53:06,600 --> 00:53:09,400 Speaker 1: But still it is frustrating. This is something we've been 910 00:53:09,400 --> 00:53:12,960 Speaker 1: talking about this week. How frustrated I am by the 911 00:53:13,000 --> 00:53:15,879 Speaker 1: fact that there are these huge companies that have all 912 00:53:15,920 --> 00:53:19,399 Speaker 1: this information about us that they just won't let out right, 913 00:53:19,480 --> 00:53:23,360 Speaker 1: And so there's all the companies that they're made our locations, 914 00:53:23,400 --> 00:53:27,720 Speaker 1: the twenty one billion dollar industry, and Netflix just also 915 00:53:27,800 --> 00:53:30,640 Speaker 1: doesn't release anything about like the ship that we're actually 916 00:53:30,640 --> 00:53:33,359 Speaker 1: watching unless there's like some big project. They you just 917 00:53:33,400 --> 00:53:35,320 Speaker 1: want to know who watched that Kurt Russell movie. You 918 00:53:35,320 --> 00:53:39,239 Speaker 1: want a detail, listen who it was. I'm surprised they 919 00:53:39,239 --> 00:53:41,400 Speaker 1: didn't even go any further there, like and assuming that 920 00:53:41,440 --> 00:53:43,960 Speaker 1: not like in one viewing, there's probably at least one 921 00:53:43,960 --> 00:53:46,080 Speaker 1: other person there. We're looking at it. I mean, three 922 00:53:46,120 --> 00:53:49,279 Speaker 1: billion dollars plus shared Netflix accounts, I mean, we don't 923 00:53:49,280 --> 00:53:52,960 Speaker 1: know how many motherfucker's are really watching. Yeah. I think 924 00:53:53,200 --> 00:53:54,799 Speaker 1: the most they've done was like right at the end 925 00:53:54,840 --> 00:53:57,200 Speaker 1: of the year in there like Twitter account like started 926 00:53:57,239 --> 00:54:00,120 Speaker 1: calling people out there, like to the one person who 927 00:54:00,000 --> 00:54:04,840 Speaker 1: watched Avatar nine hundred times this year? Who hurts you? Remember? 928 00:54:04,920 --> 00:54:06,719 Speaker 1: Like they were getting weird on their messy on their 929 00:54:06,760 --> 00:54:09,200 Speaker 1: Twitter last year. Yeah, Yeah, Well that was like a 930 00:54:09,280 --> 00:54:11,680 Speaker 1: thing they thought was like cute, like a funny thing 931 00:54:11,719 --> 00:54:13,960 Speaker 1: to be like who watched they were like that Wendy's account, 932 00:54:14,000 --> 00:54:17,920 Speaker 1: his mouth Lord of the Rings. Anna, Yes, it was 933 00:54:17,960 --> 00:54:19,920 Speaker 1: the Lord of whoever wants Lord of the Rings? Like 934 00:54:19,960 --> 00:54:23,080 Speaker 1: three times. What the funk happened? Right, And it's like, 935 00:54:23,160 --> 00:54:26,719 Speaker 1: that's funny, except you're seriously paying a lot of attention 936 00:54:26,760 --> 00:54:31,480 Speaker 1: to us and judging us all not telling us what 937 00:54:31,560 --> 00:54:33,440 Speaker 1: you're finding out. I wonder if they just know so 938 00:54:33,520 --> 00:54:35,680 Speaker 1: much so they're like, yo, we we can't even let 939 00:54:35,680 --> 00:54:38,920 Speaker 1: people know how much we know. It's too hot, Yeah, 940 00:54:38,960 --> 00:54:42,360 Speaker 1: because I'm sure you can really juxtapose that was some 941 00:54:42,400 --> 00:54:46,479 Speaker 1: psychographic data and be like, oh wow, there are five 942 00:54:46,600 --> 00:54:49,840 Speaker 1: kinds of people based on our Netflix viewing happens. The 943 00:54:49,880 --> 00:54:53,480 Speaker 1: other thing that's somewhat foreboding about Netflix is that they're 944 00:54:54,360 --> 00:54:57,160 Speaker 1: so deep in the whole they're spending way more than 945 00:54:57,200 --> 00:55:00,560 Speaker 1: they're making, and so it suggests that there's like some 946 00:55:01,000 --> 00:55:03,759 Speaker 1: end game where they start making money off of us, 947 00:55:04,560 --> 00:55:07,040 Speaker 1: off of all the information they've learned about us from 948 00:55:07,080 --> 00:55:10,319 Speaker 1: like their psycho graphics and you know, the things that 949 00:55:10,480 --> 00:55:14,840 Speaker 1: told them to make that Ashton Kutcher sitcom that takes 950 00:55:14,880 --> 00:55:18,200 Speaker 1: place on a ranch. That's like, like, they know all 951 00:55:18,239 --> 00:55:21,680 Speaker 1: this shit about us that is just kind of profane 952 00:55:21,840 --> 00:55:25,360 Speaker 1: and weird, and somehow they're planning on monetizing it, or 953 00:55:25,400 --> 00:55:30,000 Speaker 1: they'll just get bought by Apple, which would also be scary, 954 00:55:30,239 --> 00:55:34,279 Speaker 1: I think, because they'd be too big and powerful. But anyways, yeah, 955 00:55:34,320 --> 00:55:38,319 Speaker 1: it's not clear how anything works inside Netflix, so you 956 00:55:38,400 --> 00:55:41,800 Speaker 1: only get like their product and how much they're spending 957 00:55:41,800 --> 00:55:45,319 Speaker 1: on different ship too makes sense of it all and 958 00:55:45,400 --> 00:55:48,200 Speaker 1: none of it really makes sense. Yeah, well, I don't know, 959 00:55:48,200 --> 00:55:50,440 Speaker 1: because I think a lot of other companies are getting 960 00:55:50,440 --> 00:55:52,600 Speaker 1: wise to what Netflix is doing. They're like, well, fuck it, 961 00:55:52,640 --> 00:55:54,600 Speaker 1: We'll just take our ship, all of our i P 962 00:55:54,880 --> 00:55:56,279 Speaker 1: and all the things we own and make our all 963 00:55:56,360 --> 00:55:58,759 Speaker 1: streaming ship. That's where like a lot of those Marvel 964 00:55:58,800 --> 00:56:00,759 Speaker 1: shows are getting canceled because they're like, well, don't worry 965 00:56:00,760 --> 00:56:02,880 Speaker 1: when Disney starts their thing there, like, we'll just reboot 966 00:56:02,880 --> 00:56:04,640 Speaker 1: it over here because we own that i P anyway, 967 00:56:04,800 --> 00:56:07,120 Speaker 1: right right, So, which will suck because then you're gonna 968 00:56:07,120 --> 00:56:09,839 Speaker 1: be subscribing to like nine different things because it used 969 00:56:09,840 --> 00:56:11,799 Speaker 1: to be centralized. And then maybe that could be the 970 00:56:11,880 --> 00:56:14,160 Speaker 1: end of it for them, because the other films they 971 00:56:14,160 --> 00:56:16,600 Speaker 1: count on in as part of their library will begin 972 00:56:16,680 --> 00:56:21,279 Speaker 1: migrating towards the streaming platforms of those like networks or 973 00:56:21,320 --> 00:56:24,440 Speaker 1: studios and then they're left with just their originals and 974 00:56:24,480 --> 00:56:27,319 Speaker 1: like terrible other ships that I mean, I watch all 975 00:56:27,320 --> 00:56:29,719 Speaker 1: them ships. So I'm still here. I'm still here for you. 976 00:56:29,719 --> 00:56:32,719 Speaker 1: Next look, as long as there's married at first sight 977 00:56:32,800 --> 00:56:35,759 Speaker 1: Honeymoon Island, I'm gonna be fine. Yeah, yeah, yeah, we're good. 978 00:56:36,480 --> 00:56:38,640 Speaker 1: And this is where you guys start talking about nine. 979 00:56:43,480 --> 00:56:45,359 Speaker 1: Don't worry Sophia and I we're having an in depth 980 00:56:45,360 --> 00:56:48,319 Speaker 1: conversation after this. Anyway, Sophia, it has been up to 981 00:56:48,360 --> 00:56:52,000 Speaker 1: this point really great having you. Where can people find 982 00:56:52,040 --> 00:56:55,080 Speaker 1: you and follow you? You can listen to my podcast 983 00:56:55,120 --> 00:56:58,759 Speaker 1: with Courtney Kosak, Reality Bites that's with a hy and 984 00:56:59,000 --> 00:57:01,719 Speaker 1: you can find me at the Sophia Everywhere th h 985 00:57:01,840 --> 00:57:04,520 Speaker 1: E s O F I y A. And is there 986 00:57:04,560 --> 00:57:09,080 Speaker 1: a tweet you've been enjoying? Um? Yes there is. The 987 00:57:09,200 --> 00:57:13,120 Speaker 1: tweet is by Anya Volts, and the tweet is Relationships 988 00:57:13,120 --> 00:57:16,520 Speaker 1: are so casual these days. Nobody actually has an anniversary anymore. 989 00:57:16,560 --> 00:57:19,120 Speaker 1: They're like October fourteenth is the day he responded to 990 00:57:19,120 --> 00:57:21,880 Speaker 1: my Instagram story for the first time, and it's like, 991 00:57:21,920 --> 00:57:24,040 Speaker 1: where did all the romance go? Why can't my dad 992 00:57:24,080 --> 00:57:31,760 Speaker 1: trade me for livestock anymore? Uh? Miles where can people 993 00:57:31,760 --> 00:57:36,160 Speaker 1: find you? You can find me on Twitter and Instagram 994 00:57:36,200 --> 00:57:41,080 Speaker 1: at miles of Gray. Uh. And a tweet that I 995 00:57:41,160 --> 00:57:45,960 Speaker 1: like is uh this is when Anna showed me from 996 00:57:46,000 --> 00:57:49,880 Speaker 1: Reductress earlier. It's a woman crying with the Christmas lights 997 00:57:49,880 --> 00:57:51,840 Speaker 1: and a wreath in her arms, and it says, all 998 00:57:51,920 --> 00:57:58,640 Speaker 1: I want for Christmas is you approval. The woman looks 999 00:57:58,640 --> 00:58:04,320 Speaker 1: so tortured. Love it nice delivery? Yeah, sweet, Thank you 1000 00:58:04,360 --> 00:58:07,920 Speaker 1: so much. Another one just applies to our office is 1001 00:58:07,920 --> 00:58:09,560 Speaker 1: how to cut out all the people who are not 1002 00:58:09,600 --> 00:58:16,520 Speaker 1: obsessed with your dog. Gotta respect people's dogs. Yes, well yeah, 1003 00:58:16,720 --> 00:58:20,720 Speaker 1: we we certainly don't do that enough. Um well, you 1004 00:58:20,720 --> 00:58:25,440 Speaker 1: can find me on Twitter at Jack Underscore Opbrian tweet 1005 00:58:25,480 --> 00:58:29,320 Speaker 1: I enjoyed from Supervisor around a Hosny issue tweeted this 1006 00:58:29,400 --> 00:58:32,360 Speaker 1: is real and happening on one That is the live 1007 00:58:32,520 --> 00:58:37,320 Speaker 1: read of Santa University, a live stage reading December one. 1008 00:58:37,560 --> 00:58:40,680 Speaker 1: M be there, you'll see some favorites there. You will 1009 00:58:40,720 --> 00:58:44,400 Speaker 1: see some favorites there. You'll miss some other favorites there. 1010 00:58:45,120 --> 00:58:48,400 Speaker 1: H And another tweet I was enjoying is uh, w 1011 00:58:48,800 --> 00:58:51,520 Speaker 1: d s You tweeted this sesame street mupp that will 1012 00:58:51,560 --> 00:58:56,400 Speaker 1: become the first to experience homelessness and Diane gotta shut 1013 00:58:56,400 --> 00:58:59,400 Speaker 1: the funk up, tweeted, Oscar the grouch been living in 1014 00:58:59,400 --> 00:59:01,920 Speaker 1: a trash camp for forty night here exactly which is 1015 00:59:01,960 --> 00:59:04,520 Speaker 1: true and the best people you need should bring more 1016 00:59:04,560 --> 00:59:07,520 Speaker 1: attention did He was like, Oscar, you're such a grouch. 1017 00:59:11,840 --> 00:59:16,120 Speaker 1: H You can find us on Twitter at Daily Zygeys 1018 00:59:16,160 --> 00:59:18,640 Speaker 1: for at the Daily Zeist, on Instagram. We have Facebook 1019 00:59:18,640 --> 00:59:21,040 Speaker 1: fan page on a website, Daily i guys dot com 1020 00:59:21,040 --> 00:59:25,920 Speaker 1: where post our episodes and our footnote where we link 1021 00:59:25,960 --> 00:59:29,320 Speaker 1: off to the information that we're talking about in today's episode, 1022 00:59:29,640 --> 00:59:31,240 Speaker 1: as well as the song we ride out on my 1023 00:59:31,280 --> 00:59:33,880 Speaker 1: Asco song we canna write, Let's go out on a 1024 00:59:33,880 --> 00:59:36,880 Speaker 1: little remix by Flying Lotus of a Brandon Coleman song 1025 00:59:36,960 --> 00:59:40,120 Speaker 1: called walk Free. So this is walk Free, the fly 1026 00:59:40,240 --> 00:59:43,480 Speaker 1: Low remix. And you know everybody's going to your weekend 1027 00:59:43,480 --> 00:59:48,360 Speaker 1: walking freely, okay, on yourself, on your spirit, on your desires. 1028 00:59:48,560 --> 00:59:53,080 Speaker 1: This week, I love you uncle Mikes'll say, I love 1029 00:59:53,120 --> 00:59:57,080 Speaker 1: my uncle mis Hi. We're gonna write out on that. 1030 00:59:57,240 --> 00:59:59,800 Speaker 1: We'll be back on Monday and joy weekend. Everyone by 1031 01:00:02,760 --> 01:00:07,280 Speaker 1: you'll get through to time because you're on my side. 1032 01:00:08,280 --> 01:00:13,400 Speaker 1: It's all every year we go, look in your life, moments, 1033 01:00:13,640 --> 01:00:19,040 Speaker 1: into your memories. As a dangels By, he said it 1034 01:00:19,200 --> 01:00:26,880 Speaker 1: to you. Listen to my line he through the time, 1035 01:00:31,120 --> 01:00:41,120 Speaker 1: pass time with me.