1 00:00:00,160 --> 00:00:03,360 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:08,120 Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments 3 00:00:08,119 --> 00:00:14,880 Speaker 1: from this week, all edited together into one NonStop infotainment 4 00:00:16,040 --> 00:00:22,440 Speaker 1: last stravaganza. Uh yeah, So, without further ado, here is 5 00:00:22,680 --> 00:00:26,680 Speaker 1: the Weekly Zeitgeist. What is something you think is overrated? Oh? 6 00:00:26,880 --> 00:00:29,240 Speaker 1: Sneak is? I mean since leaving in since living in 7 00:00:29,320 --> 00:00:31,639 Speaker 1: l A, I see lines and lines of people just 8 00:00:31,760 --> 00:00:39,640 Speaker 1: outside sneaker stores what I call trainers shoes guys. Yeah, 9 00:00:40,720 --> 00:00:42,560 Speaker 1: it's because of the real it's a few things. It's 10 00:00:42,760 --> 00:00:44,880 Speaker 1: there was a recent study by some kind of psychological 11 00:00:44,960 --> 00:00:48,720 Speaker 1: journal that was saying that materialism is like exponentially rising 12 00:00:48,760 --> 00:00:54,000 Speaker 1: with younger people. Yeah. Like, well, it's so weird because 13 00:00:54,040 --> 00:00:56,440 Speaker 1: I noticed on like Instagram you see like fourteen year 14 00:00:56,480 --> 00:01:00,000 Speaker 1: old kids wearing like basically the equivalent of like out 15 00:01:00,080 --> 00:01:04,280 Speaker 1: fits of like expensive streetwear brands, and like they they 16 00:01:04,360 --> 00:01:07,040 Speaker 1: have like a Louis Vuitton Supreme leather jacket on the 17 00:01:07,160 --> 00:01:09,440 Speaker 1: like first day of sophomore year of high school. And 18 00:01:09,440 --> 00:01:12,319 Speaker 1: you're like, okay, when that's clearly your family, is it? 19 00:01:12,360 --> 00:01:13,920 Speaker 1: Because it is it? Because like we now live in 20 00:01:13,920 --> 00:01:16,800 Speaker 1: a reality where we actually live online, right, and so 21 00:01:16,840 --> 00:01:19,840 Speaker 1: it's like it's like Sims. You've got like these characters, 22 00:01:19,959 --> 00:01:22,720 Speaker 1: they're the characters online and they've got like these beautiful 23 00:01:22,720 --> 00:01:26,280 Speaker 1: sneakers and T shirts, Like how many likes I can get? Yeah, 24 00:01:26,319 --> 00:01:28,440 Speaker 1: it's your avatar. But I think also it's I mean, 25 00:01:28,680 --> 00:01:32,399 Speaker 1: I've been a huge sneakerhead since since I could ever 26 00:01:32,440 --> 00:01:35,240 Speaker 1: afford to buy my own shoes, and the game has changed, 27 00:01:35,280 --> 00:01:36,480 Speaker 1: you know, Like it used to be just for the 28 00:01:36,480 --> 00:01:38,559 Speaker 1: people who really like the sneakers and they will wear them, 29 00:01:38,640 --> 00:01:41,040 Speaker 1: and that was all good. And then as they gained value, 30 00:01:41,080 --> 00:01:43,640 Speaker 1: the reseller market came up, and that caused a lot 31 00:01:43,640 --> 00:01:45,720 Speaker 1: of people now to just buy things simply to just 32 00:01:45,920 --> 00:01:48,520 Speaker 1: make a profit off of buying these things and then 33 00:01:48,520 --> 00:01:51,200 Speaker 1: profiting off these other people who are then the second marketers, 34 00:01:51,240 --> 00:01:54,360 Speaker 1: like the materialistic people with disposable income who are there 35 00:01:54,360 --> 00:01:57,160 Speaker 1: for the Instagram flex. Yeah, it's all the game's all 36 00:01:57,160 --> 00:01:59,120 Speaker 1: fucked up right now. Yeah, I think it's I think 37 00:01:59,120 --> 00:02:02,000 Speaker 1: it's like Instagram them and the fact that I don't know, 38 00:02:02,080 --> 00:02:07,200 Speaker 1: the corporate America figured something out, because during the nineties 39 00:02:07,280 --> 00:02:09,320 Speaker 1: there was such a thing as selling out, and then 40 00:02:09,560 --> 00:02:12,399 Speaker 1: that just went away. Corporate America figured out like, oh, 41 00:02:12,440 --> 00:02:15,200 Speaker 1: we need to do this to infiltrate their psyches. And 42 00:02:15,240 --> 00:02:18,080 Speaker 1: now kids are like selling out. Yeah I wish. I 43 00:02:18,120 --> 00:02:20,440 Speaker 1: wish I can sell out, like I wish they would 44 00:02:20,440 --> 00:02:22,680 Speaker 1: buy me. Yeah, I just I just don't. I just 45 00:02:22,680 --> 00:02:24,760 Speaker 1: don't get it. I like, I you know this, if 46 00:02:24,760 --> 00:02:27,720 Speaker 1: you enjoy pair of sneakers, I won't judge you for that, 47 00:02:28,040 --> 00:02:30,760 Speaker 1: But like for me, the idea of like meeting someone 48 00:02:31,040 --> 00:02:32,640 Speaker 1: and then looking at because I look at people in 49 00:02:32,680 --> 00:02:35,400 Speaker 1: the eyes, and then the idea of looking them down 50 00:02:35,520 --> 00:02:41,200 Speaker 1: and ship what are those we can't we can't talk? Yeah? Right, 51 00:02:41,480 --> 00:02:45,160 Speaker 1: damn where did you get those? Yeah? I mean I 52 00:02:46,160 --> 00:02:48,800 Speaker 1: have never waited in line mostly just off the principle 53 00:02:48,880 --> 00:02:51,280 Speaker 1: of it. I just don't feel like that's something you 54 00:02:51,320 --> 00:02:54,919 Speaker 1: wait in line like camp out for Yeah, yeah, just 55 00:02:55,280 --> 00:02:57,040 Speaker 1: if you can't get them to whatever and they were 56 00:02:57,120 --> 00:02:59,400 Speaker 1: do you know people use bots? Like that's another thing 57 00:02:59,400 --> 00:03:03,000 Speaker 1: people use like they buy their like algorithmic programs that 58 00:03:03,040 --> 00:03:06,320 Speaker 1: will like instantly buy something like forced by a product 59 00:03:06,400 --> 00:03:09,440 Speaker 1: for you online because everyone's trying to buy something. But 60 00:03:09,480 --> 00:03:11,720 Speaker 1: if you have bots, you haven't. It's the game is 61 00:03:11,760 --> 00:03:14,320 Speaker 1: fucked up. Like I said, yeah, I'm not above it. 62 00:03:14,400 --> 00:03:16,679 Speaker 1: And also I've been judging kids by their sneakers since 63 00:03:16,720 --> 00:03:21,680 Speaker 1: I was ten. Yeah, basketball camp, basketball camp especially because 64 00:03:21,680 --> 00:03:23,840 Speaker 1: like there wasn't like cool gear that you could have 65 00:03:23,919 --> 00:03:28,240 Speaker 1: other than your shoes. We got those CB thirty four 66 00:03:28,360 --> 00:03:31,240 Speaker 1: Charles Barkley air max is. Like I remember being like 67 00:03:31,400 --> 00:03:34,359 Speaker 1: catching myself as a kid being like wait, you're being 68 00:03:34,440 --> 00:03:38,160 Speaker 1: wildly superficial. Yeah, I remember that to look at your 69 00:03:38,160 --> 00:03:41,720 Speaker 1: ship shoes. Actually that makes sense now in America. In America, 70 00:03:41,800 --> 00:03:45,600 Speaker 1: you don't have school uniforms day, right, what depends if 71 00:03:45,600 --> 00:03:48,960 Speaker 1: you go. But I went. I went to uniform school, 72 00:03:49,000 --> 00:03:53,880 Speaker 1: So sneakers were like my one way to different sense. 73 00:03:53,920 --> 00:03:56,800 Speaker 1: Because again in the UK, regardless of whatever it's public 74 00:03:56,880 --> 00:04:00,320 Speaker 1: or private, we all have um school uniforms. So you're 75 00:04:00,320 --> 00:04:02,800 Speaker 1: not allowed to have like trainers or anything sneaks, even 76 00:04:02,800 --> 00:04:06,040 Speaker 1: down to the shoes or there's a very very strict 77 00:04:06,120 --> 00:04:09,080 Speaker 1: rule like you have to maxture of dress shoes or something. Yeah, 78 00:04:09,120 --> 00:04:10,560 Speaker 1: So I didn't think about Actually it is just like 79 00:04:10,600 --> 00:04:13,240 Speaker 1: a stay as simple and so yeah, and that's why 80 00:04:13,280 --> 00:04:15,840 Speaker 1: a lot of public schools began to do uniforms too, 81 00:04:15,840 --> 00:04:18,080 Speaker 1: because they're like free dresses, like too much of a 82 00:04:18,120 --> 00:04:20,440 Speaker 1: distraction for some kids. It's a distraction, but also it's like, 83 00:04:21,040 --> 00:04:24,760 Speaker 1: you know, it makes you feel shafe. I feel pull Yeah, 84 00:04:24,839 --> 00:04:28,159 Speaker 1: especially when kids pull up in outfits and you know 85 00:04:28,200 --> 00:04:30,680 Speaker 1: you're just rocking some regular if you're doing just the 86 00:04:31,000 --> 00:04:34,520 Speaker 1: like broad outline school uniform where it's like okay, you 87 00:04:34,520 --> 00:04:37,640 Speaker 1: have to have a white shirt and like black khakis 88 00:04:37,760 --> 00:04:41,279 Speaker 1: or something like that. Yeah, you know the blacks, well 89 00:04:41,320 --> 00:04:47,200 Speaker 1: known blackies, uh isolated. I feel like that can get 90 00:04:47,240 --> 00:04:50,039 Speaker 1: you in trouble. My cousin went to this all girls 91 00:04:50,120 --> 00:04:55,120 Speaker 1: school in Los Angeles, and it was like a school uniform, 92 00:04:55,440 --> 00:04:58,280 Speaker 1: but because there were like you could like sort of 93 00:04:58,320 --> 00:05:01,239 Speaker 1: color inside the lines and little bit outside the lines. 94 00:05:01,360 --> 00:05:04,120 Speaker 1: Like then it was like there were three pieces of 95 00:05:04,160 --> 00:05:07,200 Speaker 1: clothing that you like had to get that everybody had, 96 00:05:07,279 --> 00:05:09,599 Speaker 1: and then like it was like the dope like white 97 00:05:09,640 --> 00:05:12,400 Speaker 1: shirt or whatever. Like the fit of it was different, 98 00:05:12,480 --> 00:05:16,960 Speaker 1: and like the designer like it just like lessons the 99 00:05:17,040 --> 00:05:19,320 Speaker 1: number of things that you can do, and so the 100 00:05:19,400 --> 00:05:23,880 Speaker 1: focus becomes even more intense. What what who the designer 101 00:05:24,000 --> 00:05:25,919 Speaker 1: is or what the tag says or whatever. We always 102 00:05:25,920 --> 00:05:27,920 Speaker 1: had to go to like a uniform shop that was 103 00:05:27,960 --> 00:05:30,279 Speaker 1: like out in some industrial park and it was called 104 00:05:30,279 --> 00:05:33,640 Speaker 1: like Sioux Mills or Dennis Uniform company, and like you'd 105 00:05:33,680 --> 00:05:36,159 Speaker 1: be there, and like it was a racket to where 106 00:05:36,200 --> 00:05:37,960 Speaker 1: like the schools are making money. They were making one 107 00:05:38,000 --> 00:05:40,640 Speaker 1: I like or whatever. Yeah, you gotta make your uniform 108 00:05:40,760 --> 00:05:43,360 Speaker 1: impossible to make look cool. The only way we could 109 00:05:43,360 --> 00:05:45,800 Speaker 1: flex is change the color of your undershirt of your polo. 110 00:05:46,640 --> 00:05:48,320 Speaker 1: And then they then they catch on, they like, you 111 00:05:48,360 --> 00:05:49,720 Speaker 1: can only be black or white, because I would wear 112 00:05:49,800 --> 00:05:52,760 Speaker 1: like orange or like were like you could flex with 113 00:05:52,920 --> 00:05:57,280 Speaker 1: a beautiful lexicon, right have They doesn't have to be 114 00:05:57,320 --> 00:05:59,520 Speaker 1: on the outside. You would be you would be the 115 00:05:59,560 --> 00:06:04,680 Speaker 1: coolest teacher. I would be a great teacher about I 116 00:06:04,880 --> 00:06:08,760 Speaker 1: was an awful student in terms of like, gentlemen, why 117 00:06:08,839 --> 00:06:15,080 Speaker 1: not use a lexicons? Get him? So let's talk about 118 00:06:15,120 --> 00:06:20,599 Speaker 1: Trump's relationship with journalists, because, as we've talked about earlier 119 00:06:21,120 --> 00:06:27,520 Speaker 1: last week, the journalist Jamal Kesho was murdered by the Saudi, 120 00:06:27,720 --> 00:06:32,200 Speaker 1: basically by Mohammed ben Salmon and his handlers. Like there's 121 00:06:32,360 --> 00:06:35,600 Speaker 1: footage of his main dude walking in the day of 122 00:06:35,640 --> 00:06:41,080 Speaker 1: the murder, and Trump has used this opportunity to and 123 00:06:41,480 --> 00:06:46,200 Speaker 1: Trump late last week admitted that, yeah, the Saudi probably 124 00:06:46,200 --> 00:06:50,600 Speaker 1: goes pretty high up that in Saudi Arabia and they're 125 00:06:50,640 --> 00:06:55,640 Speaker 1: probably responsible and he was murdered, but he's not laying off. 126 00:06:55,880 --> 00:06:59,200 Speaker 1: First of all, he's not you know, committing to any 127 00:06:59,360 --> 00:07:05,520 Speaker 1: actual reaction or any consequences. But he's also just not 128 00:07:06,440 --> 00:07:10,720 Speaker 1: stopped talking shit about journalists. Yeah in general. Yeah, he 129 00:07:10,720 --> 00:07:13,840 Speaker 1: had a rally in Montana last week. And some people 130 00:07:13,920 --> 00:07:15,840 Speaker 1: might not remember this, but in the build up to 131 00:07:15,920 --> 00:07:19,200 Speaker 1: the election, there's this guy Greg Janforte from out there. 132 00:07:19,400 --> 00:07:22,600 Speaker 1: He body slammed a Guardian reporter who was just asking 133 00:07:22,640 --> 00:07:25,880 Speaker 1: him a question. And because he's so agro and unfit 134 00:07:26,000 --> 00:07:29,600 Speaker 1: for office, he w w e this dude, and he's 135 00:07:29,640 --> 00:07:33,120 Speaker 1: still one because that's just the reality some people live 136 00:07:33,160 --> 00:07:35,800 Speaker 1: in where that is cool. But then at this rally, 137 00:07:35,960 --> 00:07:37,800 Speaker 1: Trump was just sort of like, yeah, he's my kind 138 00:07:37,880 --> 00:07:39,480 Speaker 1: of guy, or like anyone who can do it, who 139 00:07:39,520 --> 00:07:42,240 Speaker 1: body slams Somebody's my kind of guy, and just sort 140 00:07:42,280 --> 00:07:45,520 Speaker 1: of you know, letting people know he co signs these 141 00:07:45,600 --> 00:07:48,520 Speaker 1: kinds of violent attacks on journalists. And yeah, when you 142 00:07:48,560 --> 00:07:50,600 Speaker 1: couple that would just sort of his total inaction with 143 00:07:50,640 --> 00:07:53,640 Speaker 1: the shoji thing, it's just like, Okay, so we're seeing 144 00:07:53,640 --> 00:07:57,400 Speaker 1: now that he's slowly letting us embrace the world where 145 00:07:57,400 --> 00:07:59,840 Speaker 1: we're like really just just gonna I don't know if 146 00:07:59,840 --> 00:08:02,480 Speaker 1: this turns into like the rationalization for people be like, well, 147 00:08:02,520 --> 00:08:05,240 Speaker 1: I think that journalists deserve to be attacked, and like 148 00:08:05,280 --> 00:08:08,520 Speaker 1: that's where we're slowly going to go. Yeah, they're very slowly, 149 00:08:08,600 --> 00:08:11,640 Speaker 1: but they are actually in the process of moving in 150 00:08:11,680 --> 00:08:14,960 Speaker 1: that direction. So while Trump is not saying anything about 151 00:08:16,440 --> 00:08:18,840 Speaker 1: deserving it, uh, you know. And by the way, we 152 00:08:18,880 --> 00:08:23,360 Speaker 1: talked on earlier episode about how the thing that got 153 00:08:23,440 --> 00:08:28,440 Speaker 1: Hashog like the order of Silence from Mohammad ben Salmon, 154 00:08:28,680 --> 00:08:31,960 Speaker 1: was him talking about the Trump administration. So you know, 155 00:08:32,000 --> 00:08:36,760 Speaker 1: Trump is basically directly implicated in this dude's death. Trump 156 00:08:36,840 --> 00:08:39,800 Speaker 1: is not saying anything out loud, but hardline Republicans and 157 00:08:39,880 --> 00:08:46,199 Speaker 1: conservative commentators are issuing basically a whisper campaign that's designed 158 00:08:46,320 --> 00:08:51,440 Speaker 1: to you know, protect President Trump from people saying that 159 00:08:51,520 --> 00:08:54,959 Speaker 1: he should be more hard line on Saudi Arabia and 160 00:08:55,440 --> 00:08:59,839 Speaker 1: you know, to make hash Og look bad villain the 161 00:09:00,040 --> 00:09:04,240 Speaker 1: standards ship just like when they're unarmed young black men killed. 162 00:09:04,559 --> 00:09:06,720 Speaker 1: Oh that was a man in a young man's body, 163 00:09:06,880 --> 00:09:08,800 Speaker 1: or this dude as a thug, or he had a 164 00:09:08,880 --> 00:09:11,400 Speaker 1: fucking he was in a photo with a gun once 165 00:09:11,840 --> 00:09:14,760 Speaker 1: or both of them. Gen had weed in his fucking 166 00:09:14,760 --> 00:09:17,600 Speaker 1: house when the police officer came into his fucking house 167 00:09:17,600 --> 00:09:19,680 Speaker 1: and shot him dead. Like this is just the same ship. 168 00:09:19,840 --> 00:09:22,800 Speaker 1: Just smear the victim, try and eliminate any empathy going 169 00:09:22,840 --> 00:09:25,679 Speaker 1: in that direction, and be like, yeah, so once we 170 00:09:25,760 --> 00:09:27,319 Speaker 1: just smear the ship out of this dude, that'll be 171 00:09:27,360 --> 00:09:29,240 Speaker 1: easier for people to swallow the fact that you just 172 00:09:29,280 --> 00:09:33,560 Speaker 1: did funk all and we continue this relationship. You know 173 00:09:33,720 --> 00:09:36,199 Speaker 1: what's funny too, when all the Republicans shot about fucking 174 00:09:36,200 --> 00:09:38,640 Speaker 1: Sharia law and all this stuff, and he's like fully 175 00:09:38,640 --> 00:09:41,560 Speaker 1: embracing the same. You know, I don't know, I just 176 00:09:41,600 --> 00:09:43,640 Speaker 1: can't wrap my head around all this ship right now, 177 00:09:43,960 --> 00:09:47,760 Speaker 1: and it's starting to become a little overwhelming. But well, 178 00:09:47,800 --> 00:09:49,800 Speaker 1: you know, when you're when you're selling stuff and you're 179 00:09:49,840 --> 00:09:52,960 Speaker 1: getting commission, right, that's basically what Trump's doing. How many 180 00:09:53,080 --> 00:09:56,200 Speaker 1: how many billions of dollars of weapons as he sold us? 181 00:09:56,200 --> 00:09:58,520 Speaker 1: How do you write? Well, right now, the big deal 182 00:09:58,600 --> 00:10:00,840 Speaker 1: he wants is like one ten right now, and I 183 00:10:00,880 --> 00:10:03,280 Speaker 1: think with another like two or three hundred billion coming 184 00:10:03,320 --> 00:10:05,800 Speaker 1: down the pipeline over like ten years. So when you've 185 00:10:05,800 --> 00:10:08,120 Speaker 1: got a client with he's going to get you big commission. 186 00:10:09,120 --> 00:10:12,920 Speaker 1: Can I can I kiss your paenis please? Essentially, what 187 00:10:13,000 --> 00:10:15,480 Speaker 1: he's doing well, he loves money and that's all he 188 00:10:15,640 --> 00:10:18,240 Speaker 1: and that's his god. His Money's god is his money. 189 00:10:18,400 --> 00:10:20,960 Speaker 1: So as long as we're talking about do you know 190 00:10:21,000 --> 00:10:24,560 Speaker 1: what's really shitty is we all know that Trump must 191 00:10:24,600 --> 00:10:29,120 Speaker 1: be so sad, right, what kind of life does he like? 192 00:10:29,640 --> 00:10:31,640 Speaker 1: We all know that at some point, you know, money 193 00:10:31,720 --> 00:10:33,920 Speaker 1: is useful. We're got to pay some bills and stuff 194 00:10:33,960 --> 00:10:36,920 Speaker 1: like that that. But most people, I know, once you've got 195 00:10:36,920 --> 00:10:39,640 Speaker 1: like maximum a hundred ground in the bank, you kind 196 00:10:39,679 --> 00:10:41,440 Speaker 1: of don't need anymore. And that's a lot of money. 197 00:10:42,120 --> 00:10:45,560 Speaker 1: That's a lot of money. Yeah, this guy's just needs 198 00:10:45,600 --> 00:10:50,400 Speaker 1: some more money, more money. He's gonna die surrounded by gold. 199 00:10:50,440 --> 00:10:54,080 Speaker 1: And because I know in his fantasy world, he pulls 200 00:10:54,160 --> 00:10:56,800 Speaker 1: up to the Academy Awards and was like Donald Trump 201 00:10:57,280 --> 00:11:00,200 Speaker 1: and crazy comes up to him, You're the man and 202 00:11:00,200 --> 00:11:02,679 Speaker 1: beest like no, but I'm not. But you know, he 203 00:11:02,720 --> 00:11:07,040 Speaker 1: wants he so deeply wants the the attention or the 204 00:11:07,160 --> 00:11:10,520 Speaker 1: approval of like traditional celebrities, like all the ones, like 205 00:11:10,600 --> 00:11:12,200 Speaker 1: the den Eros of the world, Like this guy's a 206 00:11:12,200 --> 00:11:14,719 Speaker 1: sucking asshole or whatever. Like if he had that, he 207 00:11:14,760 --> 00:11:17,320 Speaker 1: would be like, I'm gonna call it. I think that's 208 00:11:17,320 --> 00:11:20,560 Speaker 1: what's killing him inside. Slowly too, is like because you 209 00:11:20,600 --> 00:11:23,640 Speaker 1: can tell the ship that he he wants to be 210 00:11:23,720 --> 00:11:25,959 Speaker 1: part of the crowd that he isn't part of. That's 211 00:11:25,960 --> 00:11:28,959 Speaker 1: why he talks so ill of his own supporters sometimes 212 00:11:28,960 --> 00:11:31,560 Speaker 1: and like secretly is like other slabs, it's I got 213 00:11:31,559 --> 00:11:33,360 Speaker 1: this place sucks. At the same time, I think if 214 00:11:33,400 --> 00:11:35,520 Speaker 1: he got any of the things he thinks he wants, 215 00:11:35,600 --> 00:11:37,920 Speaker 1: he never still be miserable. Yeah, he's just got that 216 00:11:38,400 --> 00:11:41,880 Speaker 1: the world's biggest black hole in the middle of his soul. 217 00:11:42,000 --> 00:11:43,679 Speaker 1: What if you got all new hair though, What if 218 00:11:43,679 --> 00:11:45,920 Speaker 1: he says, I I can get your hair hairline back 219 00:11:45,960 --> 00:11:47,640 Speaker 1: to when you were nine years old? Yeah, then I 220 00:11:47,679 --> 00:11:54,320 Speaker 1: think he strong huge. Yeah, come here, it's okay. Yeah, 221 00:11:54,360 --> 00:11:57,400 Speaker 1: he sucked up quite a long, right, let's fix some things. 222 00:11:57,640 --> 00:12:00,560 Speaker 1: And I think another thing to point out, as Nick 223 00:12:00,760 --> 00:12:03,080 Speaker 1: Super Producers stuff was pointing out was just sort of 224 00:12:03,120 --> 00:12:06,400 Speaker 1: the the tie in and relationship of like Kushner and 225 00:12:06,600 --> 00:12:09,840 Speaker 1: his need for money for his building, which is still 226 00:12:09,960 --> 00:12:12,839 Speaker 1: on what was uh six six six? What the fund is? 227 00:12:12,880 --> 00:12:16,800 Speaker 1: The address fifth Avenue, Fifth avenue or whatever he's got that. Uh, 228 00:12:16,840 --> 00:12:19,960 Speaker 1: they have their own little WhatsApp group that they talk in. 229 00:12:20,440 --> 00:12:23,160 Speaker 1: And you know, the relationship with the Saudi's because of 230 00:12:23,200 --> 00:12:26,480 Speaker 1: their oil production is one that is further complicates things 231 00:12:26,559 --> 00:12:29,559 Speaker 1: and adds other dimensions to this. For example, as a 232 00:12:30,480 --> 00:12:32,520 Speaker 1: slides me this note, you know, like oil price is 233 00:12:32,520 --> 00:12:35,760 Speaker 1: already going up, and that's already pissing Trump off, Like 234 00:12:35,880 --> 00:12:39,839 Speaker 1: what are we gonna do? It's yeah whatever, So I 235 00:12:39,880 --> 00:12:45,600 Speaker 1: mean the specific things. The equivalent of a Facebook post 236 00:12:45,760 --> 00:12:50,280 Speaker 1: where the you know, black kid who got shot by 237 00:12:50,320 --> 00:12:53,000 Speaker 1: the cops was smoking weed, the equivalent of that for 238 00:12:54,240 --> 00:12:58,760 Speaker 1: is that he was tied to the Muslim brotherhood, like 239 00:12:59,080 --> 00:13:02,720 Speaker 1: early in his career, like once said something that was 240 00:13:03,040 --> 00:13:06,320 Speaker 1: vaguely positive about them and has since spent his career 241 00:13:06,800 --> 00:13:10,200 Speaker 1: talking about like speaking out against things like that. And 242 00:13:10,240 --> 00:13:14,439 Speaker 1: then he was also embedded as a reporter covering Osama 243 00:13:14,440 --> 00:13:18,800 Speaker 1: bin Laden, like a really huge get to actually like 244 00:13:18,920 --> 00:13:23,160 Speaker 1: go and travel around with Osama bin Ladden and report 245 00:13:23,240 --> 00:13:27,000 Speaker 1: on that. And now Donald Trump Jr. Is like, yeah, 246 00:13:27,040 --> 00:13:31,640 Speaker 1: he was paling around with with Osama bin Laden, And 247 00:13:31,679 --> 00:13:35,439 Speaker 1: there's like Fox News shows that are saying was tied 248 00:13:35,480 --> 00:13:39,920 Speaker 1: to the Muslim brotherhood. Yeah. Yeah, it just shows you 249 00:13:39,960 --> 00:13:43,280 Speaker 1: how they're willing to do anything just all in the 250 00:13:43,360 --> 00:13:45,640 Speaker 1: name of money. I I mean, I agree that we 251 00:13:45,679 --> 00:13:50,040 Speaker 1: should have some journalists, which ones call him out. Okay, 252 00:13:50,120 --> 00:13:52,960 Speaker 1: well let's say all these in touch magazines and these 253 00:13:53,440 --> 00:13:58,400 Speaker 1: magazines rightists. Yeah, but they called themselves generalists. They're not. 254 00:13:58,480 --> 00:14:00,720 Speaker 1: I don't know. If I met somebody who's I'm a journalist, 255 00:14:00,800 --> 00:14:03,800 Speaker 1: I go, oh, who do you write for? And they go, okay, magazine, 256 00:14:03,800 --> 00:14:05,920 Speaker 1: I would say, get the funk out of my face. 257 00:14:06,200 --> 00:14:08,719 Speaker 1: It's not like it's not type of journalism, like, oh, so, 258 00:14:08,760 --> 00:14:11,599 Speaker 1: what's Kate Perry up to? Look? How fun, honey? I 259 00:14:11,640 --> 00:14:14,959 Speaker 1: guess by I mean if you're if you're just merely 260 00:14:15,000 --> 00:14:17,120 Speaker 1: just looking at pictures and commenting, I don't know if 261 00:14:17,160 --> 00:14:19,200 Speaker 1: that makes you a journalists. I don't understand why people 262 00:14:19,240 --> 00:14:21,840 Speaker 1: are annoying to a people trying to find a truth 263 00:14:22,960 --> 00:14:25,480 Speaker 1: that for me is fascinating. He's trying to find the 264 00:14:25,520 --> 00:14:28,960 Speaker 1: truth and make Yeah. Well, people are just to their 265 00:14:29,000 --> 00:14:30,960 Speaker 1: egos are too fragile, and I think at some level, 266 00:14:31,040 --> 00:14:33,440 Speaker 1: especially if you're doing bad ship, on some level, some 267 00:14:33,480 --> 00:14:36,200 Speaker 1: people do know that what they're doing is wrong, and 268 00:14:36,240 --> 00:14:39,000 Speaker 1: a journalist only brings that mirror up to your face, 269 00:14:39,440 --> 00:14:42,120 Speaker 1: and I think that's a sensation people like that just 270 00:14:42,200 --> 00:14:47,040 Speaker 1: do not want to experience at all. Yeah, producer around Hosnier, 271 00:14:47,600 --> 00:14:50,160 Speaker 1: you look like you have something to say. I just 272 00:14:50,200 --> 00:14:53,440 Speaker 1: wanted to add that he's basically being punished for being 273 00:14:53,440 --> 00:14:56,520 Speaker 1: a journalist who had access to the Muslim Brotherhood and 274 00:14:56,760 --> 00:14:59,720 Speaker 1: bin Laden, who was out there doing a very dangerous 275 00:15:00,160 --> 00:15:02,480 Speaker 1: which is reporting both sides of what was happening in 276 00:15:02,520 --> 00:15:05,160 Speaker 1: the Middle East when it comes to like terrorism and 277 00:15:05,280 --> 00:15:09,040 Speaker 1: or extremist groups. It's something that most people are not 278 00:15:09,200 --> 00:15:11,640 Speaker 1: capable of doing. And he was able to get in there, 279 00:15:12,040 --> 00:15:15,560 Speaker 1: interact with bin Laden, interact travel with the Muslim Brotherhood, 280 00:15:15,920 --> 00:15:18,280 Speaker 1: and see what was happening with his own eyes and 281 00:15:18,360 --> 00:15:21,120 Speaker 1: report on it, which is not something you necessarily should 282 00:15:21,160 --> 00:15:23,680 Speaker 1: be punished for because it's kind of a very fascinating 283 00:15:23,720 --> 00:15:26,680 Speaker 1: angle that we as people in America who mostly followed 284 00:15:26,680 --> 00:15:30,600 Speaker 1: the mainstream media, will never understand or learn about unless 285 00:15:30,640 --> 00:15:35,160 Speaker 1: someone's out there. And it's it's crazy that he basically 286 00:15:35,240 --> 00:15:37,720 Speaker 1: is being smeared with that. Well, that's the point. That's 287 00:15:37,760 --> 00:15:39,640 Speaker 1: the point. They want to obscure it. They're trying to 288 00:15:39,680 --> 00:15:41,560 Speaker 1: remove the fact that he is a journalist. They're just 289 00:15:41,560 --> 00:15:45,040 Speaker 1: saying he's a terrorist, and what you actually described was 290 00:15:45,440 --> 00:15:49,040 Speaker 1: really good journalism because you're showing two sides of the story, 291 00:15:49,080 --> 00:15:52,520 Speaker 1: because there's always two sides, and uh, and he got 292 00:15:53,200 --> 00:15:54,880 Speaker 1: and you know, also, I want to make a point 293 00:15:54,880 --> 00:15:57,280 Speaker 1: that if he was someone who did get involved with 294 00:15:57,320 --> 00:16:00,680 Speaker 1: the actual terrorism aspect of the people he was with, 295 00:16:00,880 --> 00:16:03,720 Speaker 1: he would have not in present day been writing for 296 00:16:03,920 --> 00:16:06,440 Speaker 1: the Washington Post. He would not have gotten as far 297 00:16:06,440 --> 00:16:09,200 Speaker 1: as he has. The Washington Post doesn't give columns to 298 00:16:09,320 --> 00:16:12,160 Speaker 1: like terrorists. It doesn't really work like that. It means 299 00:16:12,480 --> 00:16:15,920 Speaker 1: his work was worth enough value for him to get 300 00:16:15,920 --> 00:16:17,880 Speaker 1: as far as he did, And I think that's what's 301 00:16:17,880 --> 00:16:21,360 Speaker 1: getting completely disregarded in this whole situation. Well that's yeah. 302 00:16:21,480 --> 00:16:24,080 Speaker 1: I think everyone who understands what the reality of the 303 00:16:24,120 --> 00:16:26,320 Speaker 1: situation is all knows that. But this is just such 304 00:16:26,360 --> 00:16:28,800 Speaker 1: a sad attempt at trying to just like use these 305 00:16:28,840 --> 00:16:32,920 Speaker 1: really suspect art to be to equate him to a terrorist. 306 00:16:33,440 --> 00:16:36,840 Speaker 1: Let's say he was a like a fucking wild liar 307 00:16:36,960 --> 00:16:40,600 Speaker 1: journalist or whatever. The fact is, he's exercising his right 308 00:16:40,680 --> 00:16:43,000 Speaker 1: to free speech either way, and I don't think he 309 00:16:43,040 --> 00:16:47,040 Speaker 1: wasn't saying anything that was necessarily slanderous or whatever. It 310 00:16:47,120 --> 00:16:50,080 Speaker 1: was just the fact that he was exposing things and 311 00:16:50,200 --> 00:16:52,560 Speaker 1: that was suppressed and that cost in his life. No, 312 00:16:52,680 --> 00:16:55,200 Speaker 1: and I don't think the government. No government kills someone 313 00:16:55,280 --> 00:16:58,360 Speaker 1: that's a bit crazy. They kill the one that knows something. 314 00:16:58,560 --> 00:17:00,400 Speaker 1: Of course, they know people who are a threat or 315 00:17:00,440 --> 00:17:03,120 Speaker 1: who can get other people to wake up to the 316 00:17:03,280 --> 00:17:05,439 Speaker 1: end the end of the conversation. I mean, that's surely 317 00:17:05,480 --> 00:17:08,119 Speaker 1: why we boy is everyone de beying about who he 318 00:17:08,240 --> 00:17:10,320 Speaker 1: is as a person or not they are, They're just 319 00:17:10,359 --> 00:17:14,159 Speaker 1: they're trying to like's just like done, move on. In 320 00:17:14,160 --> 00:17:17,040 Speaker 1: this case, I feel like it's the most insecure of 321 00:17:17,119 --> 00:17:19,480 Speaker 1: governments because when you put a thirty year old in 322 00:17:19,560 --> 00:17:22,280 Speaker 1: charge the whole time, he hasn't built up his skin 323 00:17:22,400 --> 00:17:24,240 Speaker 1: to be like, na, it doesn't matter what they say. 324 00:17:24,320 --> 00:17:26,600 Speaker 1: I'm the one that's in charge. That's what matters. Now 325 00:17:26,680 --> 00:17:29,679 Speaker 1: you have a thirty year old who probably reads Twitter 326 00:17:30,080 --> 00:17:33,120 Speaker 1: see shit about him, and it's just like, well, fuck that, 327 00:17:33,280 --> 00:17:36,080 Speaker 1: I will not have this. I will make sure that 328 00:17:36,119 --> 00:17:38,760 Speaker 1: man is dead because he looked at me the wrong way. Literally, 329 00:17:38,760 --> 00:17:40,919 Speaker 1: the it's it's it's the equivalent of he stepped on 330 00:17:41,000 --> 00:17:43,919 Speaker 1: my shoes and now he's dead because I run this 331 00:17:44,000 --> 00:17:46,639 Speaker 1: powerful regime and that's the way I want it. It 332 00:17:46,800 --> 00:17:52,600 Speaker 1: is like a child child president boy King exactly. He's 333 00:17:52,640 --> 00:17:55,640 Speaker 1: also trying to impress a guy who is the most 334 00:17:55,640 --> 00:17:58,520 Speaker 1: insecure human being on the world and in the world, 335 00:17:58,520 --> 00:18:02,320 Speaker 1: who is our resident, and so he you know, I 336 00:18:03,840 --> 00:18:06,080 Speaker 1: Weenies does. Yeah. I just don't think it should be 337 00:18:06,160 --> 00:18:11,520 Speaker 1: underrated that he told to be silent after he criticized 338 00:18:11,720 --> 00:18:17,080 Speaker 1: Donald Trump. That's crazy. Don't fuck my check up. I 339 00:18:17,119 --> 00:18:19,280 Speaker 1: asked everybody when they came into work today if they're 340 00:18:19,280 --> 00:18:22,120 Speaker 1: horror fans. Marlene, I haven't asked you yet, I don't think, 341 00:18:22,240 --> 00:18:25,280 Speaker 1: but we don't have a single horror fan in the office. 342 00:18:25,480 --> 00:18:27,840 Speaker 1: And I think it's interesting because I think it's the 343 00:18:27,880 --> 00:18:33,119 Speaker 1: most like social society bound of our movies. Like in 344 00:18:33,359 --> 00:18:36,240 Speaker 1: two hundred years, when people look back at our movies, 345 00:18:37,000 --> 00:18:39,560 Speaker 1: horror movies are gonna seem the weirdest. It's like, Okay, 346 00:18:39,560 --> 00:18:42,320 Speaker 1: that person is wearing a mask and like walking around 347 00:18:42,400 --> 00:18:46,080 Speaker 1: and stabbing young women to death. Like it's just I 348 00:18:46,119 --> 00:18:49,199 Speaker 1: don't know. Yeah, in this case, a giant, mentally ill 349 00:18:49,280 --> 00:18:52,280 Speaker 1: person in a blank mask walks around murdering people in 350 00:18:52,640 --> 00:18:55,919 Speaker 1: the most inefficient ways possible, and like booby traps the 351 00:18:55,920 --> 00:18:59,560 Speaker 1: house with their bodies. That just seems like a weird dream, right, 352 00:19:00,080 --> 00:19:04,320 Speaker 1: but it's very popular. It's also weird because so I 353 00:19:04,320 --> 00:19:08,040 Speaker 1: always follow the box office and this was a huge success, 354 00:19:08,080 --> 00:19:12,199 Speaker 1: and box office Mojo talks about like exit tracking and 355 00:19:12,280 --> 00:19:15,359 Speaker 1: like what audience has thought, and it got to be plus, 356 00:19:15,440 --> 00:19:18,720 Speaker 1: which is usually not that good for a huge hit 357 00:19:18,800 --> 00:19:21,440 Speaker 1: movie like this, but they were saying, it's actually really 358 00:19:21,480 --> 00:19:23,919 Speaker 1: good for a horror movie that I gotta be plus, 359 00:19:23,920 --> 00:19:27,600 Speaker 1: that I gotta be plus, which is not usually very good. 360 00:19:27,640 --> 00:19:30,679 Speaker 1: Like if a normal blockbuster gotta be plus, they'd be like, 361 00:19:30,920 --> 00:19:33,320 Speaker 1: it's not tracking very well for like word of mouth. 362 00:19:33,920 --> 00:19:38,000 Speaker 1: And the other big horror hit from earlier this year 363 00:19:38,560 --> 00:19:42,840 Speaker 1: was Hereditary, which did really well based on word of mouth, 364 00:19:42,920 --> 00:19:47,880 Speaker 1: and that had a D audience rating. So it's it's 365 00:19:47,960 --> 00:19:51,000 Speaker 1: this kind of riddle about like what is it that 366 00:19:51,080 --> 00:19:55,480 Speaker 1: we love about horror movies Because it's a negative experience. 367 00:19:55,520 --> 00:20:00,600 Speaker 1: It's like the more negative the experience, the better it is. Um, 368 00:20:00,600 --> 00:20:03,760 Speaker 1: but yeah, I don't know. It's also more like it's 369 00:20:03,760 --> 00:20:08,320 Speaker 1: tied to our anxieties. Uh. I was really into slasher 370 00:20:08,359 --> 00:20:10,640 Speaker 1: movies when I was like eight and nine years old, 371 00:20:10,680 --> 00:20:12,479 Speaker 1: I asked my dad to take me to see Friday 372 00:20:12,680 --> 00:20:17,360 Speaker 1: thirteenth eight Jason Takes Manhattan on my ninth birthday. That's 373 00:20:17,400 --> 00:20:22,160 Speaker 1: not what it's called. Was that before or after Muppets 374 00:20:22,160 --> 00:20:25,320 Speaker 1: Take Manhattan? It was after. It was like, Hey, look 375 00:20:25,359 --> 00:20:31,399 Speaker 1: at this fun play. That's very purpose Wow, I like that. 376 00:20:31,440 --> 00:20:33,639 Speaker 1: Tore like, you don't funk these muppets. Jason's up in 377 00:20:33,720 --> 00:20:37,200 Speaker 1: man And by the way, So my dad eventually saw 378 00:20:37,359 --> 00:20:41,400 Speaker 1: Friday at thirteenth seven on TV and was like, Oh, 379 00:20:41,440 --> 00:20:43,880 Speaker 1: I can't take you to this. This is like this 380 00:20:43,920 --> 00:20:46,600 Speaker 1: is so fucked up. What's what's wrong with you? And 381 00:20:46,640 --> 00:20:50,840 Speaker 1: then I think he became very concerned about me. But 382 00:20:51,480 --> 00:20:54,480 Speaker 1: I think it was because then, like at a certain point, 383 00:20:54,520 --> 00:20:56,720 Speaker 1: like two years later, I just wasn't interested in those 384 00:20:56,720 --> 00:20:59,119 Speaker 1: movies anymore. And I think it was like a like 385 00:20:59,240 --> 00:21:04,160 Speaker 1: something to do with like psycho sexual developmental thing, because 386 00:21:04,160 --> 00:21:08,679 Speaker 1: like I was really into watching like giant hulking maniacs 387 00:21:08,760 --> 00:21:11,359 Speaker 1: stab women to death, Like I don't know what the 388 00:21:11,400 --> 00:21:13,960 Speaker 1: funk that was, And then I was like over it. 389 00:21:14,320 --> 00:21:23,200 Speaker 1: And then he started collecting sickly animals back only forward 390 00:21:25,359 --> 00:21:32,119 Speaker 1: um Muppet Manhattan five years before Jason. Yeah, so the 391 00:21:32,240 --> 00:21:34,639 Speaker 1: Jason thing was supposed to be. It wasn't cheeky construction 392 00:21:34,680 --> 00:21:37,199 Speaker 1: always there, like someone takes Manhattan was I don't know 393 00:21:37,240 --> 00:21:39,480 Speaker 1: his muppets the first whatever. It's pretty sure it's just 394 00:21:39,760 --> 00:21:44,280 Speaker 1: muppets for you. Jason. Yeah, wait, way to go. I 395 00:21:44,359 --> 00:21:45,960 Speaker 1: just done. The most of that movie takes place on 396 00:21:45,960 --> 00:21:49,199 Speaker 1: a cruise ship. So I just hate being I'm so 397 00:21:49,400 --> 00:21:52,160 Speaker 1: laid back that if a movie starts trying to funk 398 00:21:52,200 --> 00:21:53,680 Speaker 1: with me, I'm like, yo, yo, you're trying to take 399 00:21:53,720 --> 00:21:56,040 Speaker 1: me out of my zone. I like thrillers and should 400 00:21:56,040 --> 00:22:00,880 Speaker 1: I like tense. I don't like like type ship sir, 401 00:22:01,119 --> 00:22:02,880 Speaker 1: I mean something. But usually when I watch, it's always 402 00:22:02,880 --> 00:22:05,080 Speaker 1: because a bunch of people like, hey, let's check this out, 403 00:22:05,240 --> 00:22:08,119 Speaker 1: and I will. But I'm never seeking a horror film 404 00:22:09,320 --> 00:22:12,520 Speaker 1: unless it's it's more experience than film. Yeah, and I 405 00:22:12,520 --> 00:22:14,560 Speaker 1: think that's what it is. We're just sitting there kind 406 00:22:14,560 --> 00:22:19,040 Speaker 1: of losing my shit, right, not eating popcorn, and I 407 00:22:19,040 --> 00:22:23,000 Speaker 1: guess the whole Yeah, as someone would like just terrible anxiety, 408 00:22:23,040 --> 00:22:25,679 Speaker 1: I'm like, the last thing I want is a ninety 409 00:22:25,760 --> 00:22:30,480 Speaker 1: minute just hit, a fucking straight anxiety and fear, but 410 00:22:30,880 --> 00:22:33,359 Speaker 1: you know, I guess I can't. I just can't change 411 00:22:33,359 --> 00:22:35,440 Speaker 1: my perception of the film's a little bit. Well, there's 412 00:22:35,520 --> 00:22:39,240 Speaker 1: this kind of loose study done about horror movies that 413 00:22:39,320 --> 00:22:43,160 Speaker 1: come out during Republican versus Democratic administrations, and they found 414 00:22:43,160 --> 00:22:46,720 Speaker 1: that more vampire movies came out during Democratic administrations and 415 00:22:46,760 --> 00:22:50,880 Speaker 1: more zombie movies came out during Republican administrations. And the 416 00:22:50,880 --> 00:22:55,680 Speaker 1: theory is that when you're scared of Republicans, you're scared 417 00:22:55,720 --> 00:22:58,440 Speaker 1: of zombies, and when you're scared of Democrats are scared 418 00:22:58,440 --> 00:23:01,440 Speaker 1: of vampires because they sort of like the groaning masses 419 00:23:01,520 --> 00:23:06,600 Speaker 1: represents what Democrats think about Republican voters, and vampires being 420 00:23:06,640 --> 00:23:13,200 Speaker 1: like weird, sexual deviant Europeans is what Republicans fear about Democrats. 421 00:23:13,640 --> 00:23:17,520 Speaker 1: And I just feel like it's the most direct tie 422 00:23:17,560 --> 00:23:23,359 Speaker 1: between like entertainment and what our like society is thinking 423 00:23:23,400 --> 00:23:26,000 Speaker 1: about and worrying about. Right. Well, yeah, because you can 424 00:23:26,040 --> 00:23:28,480 Speaker 1: definitely map all kinds of social things to so many 425 00:23:28,480 --> 00:23:30,720 Speaker 1: of these movies that were coming out. Yeah, I guess 426 00:23:30,720 --> 00:23:33,160 Speaker 1: that can make sense. Well, but are you talking? Are 427 00:23:33,160 --> 00:23:35,239 Speaker 1: they talking? And you might not have the answer, bar 428 00:23:35,320 --> 00:23:39,000 Speaker 1: are they talking? All vampire movies are like all the 429 00:23:39,160 --> 00:23:42,720 Speaker 1: scary movies were vampirement because I feel like in Obama, 430 00:23:42,800 --> 00:23:46,679 Speaker 1: Twilight was happening and it wasn't scary. It was vampires, 431 00:23:46,720 --> 00:23:50,840 Speaker 1: but it wasn't it wasn't scary. Yeah, I mean, at 432 00:23:50,840 --> 00:23:53,720 Speaker 1: the same time, it was like young people going to 433 00:23:53,760 --> 00:23:57,720 Speaker 1: see the hip new vampire and their parents were probably like, 434 00:23:57,760 --> 00:24:00,480 Speaker 1: don't see that hip vampire. Like it kind of maps 435 00:24:00,520 --> 00:24:04,439 Speaker 1: to Obama, like young people are into this vampire. Well, 436 00:24:05,000 --> 00:24:07,920 Speaker 1: you know, they're Republican Paris. They would take an account 437 00:24:07,920 --> 00:24:11,199 Speaker 1: all vampiric content. Yeah, they did, and it was just 438 00:24:11,320 --> 00:24:14,240 Speaker 1: like a slight statistic upward trend. I just think it's 439 00:24:14,240 --> 00:24:19,560 Speaker 1: more interesting to like think about how horror movies map too, 440 00:24:20,080 --> 00:24:23,920 Speaker 1: you know, our social issues and social anxieties. I mean, 441 00:24:24,040 --> 00:24:27,160 Speaker 1: I think Michael Myers is interesting because I was reading 442 00:24:27,200 --> 00:24:29,520 Speaker 1: about the design of his mask and they were just 443 00:24:29,560 --> 00:24:32,359 Speaker 1: talking about the importance of it being blank, just like 444 00:24:32,400 --> 00:24:36,760 Speaker 1: a blank expression, because like the blank mask in drama 445 00:24:36,960 --> 00:24:40,000 Speaker 1: theory is like the thing that allows you to project 446 00:24:40,080 --> 00:24:43,560 Speaker 1: your own like inner thoughts and feelings onto something. So 447 00:24:44,080 --> 00:24:47,840 Speaker 1: I'd imagine that Michael Myers would be more popular at 448 00:24:47,920 --> 00:24:52,520 Speaker 1: times when we're particularly anxious and the fact that he's 449 00:24:52,640 --> 00:24:56,400 Speaker 1: you know, unprecedented le popular. The Halloween movie broke all 450 00:24:56,440 --> 00:24:59,639 Speaker 1: sorts of records this weekend might just have to do 451 00:24:59,680 --> 00:25:04,800 Speaker 1: with there's more anxiety, just general anxiety in our culture 452 00:25:04,920 --> 00:25:08,800 Speaker 1: right now. Super producer Nixtum just pointed out that it's 453 00:25:08,880 --> 00:25:12,800 Speaker 1: Danny McBride who co wrote it along with his you know, 454 00:25:12,920 --> 00:25:16,720 Speaker 1: directing partner. I did not know that. Now I kind 455 00:25:16,760 --> 00:25:20,080 Speaker 1: of want to go. I don't think it's supposed to 456 00:25:20,119 --> 00:25:22,920 Speaker 1: be that makes sense, But they're just there's a big 457 00:25:22,960 --> 00:25:26,159 Speaker 1: Halloween fans and I mean, this is the second huge 458 00:25:26,760 --> 00:25:31,320 Speaker 1: success in two years with get Out coming out from 459 00:25:32,119 --> 00:25:36,600 Speaker 1: Jordan peel So. And I think that humor is often 460 00:25:36,640 --> 00:25:40,439 Speaker 1: based on anxiety, as like horror movies. So you know 461 00:25:40,520 --> 00:25:43,000 Speaker 1: there are two different ways of getting at the same 462 00:25:43,440 --> 00:25:49,520 Speaker 1: sort of cultural stuff. Well, we're craftsman at tension, right exactly. Yeah, Yeah, 463 00:25:49,880 --> 00:25:53,600 Speaker 1: and one you you know, puncture the tension with a 464 00:25:53,680 --> 00:25:57,360 Speaker 1: punchline and the other you puncture it with an actual 465 00:25:57,520 --> 00:26:02,879 Speaker 1: cutting tool in a horror movie. Wow. I see, all right, 466 00:26:02,920 --> 00:26:04,920 Speaker 1: We're gonna take a quick break. We'll be right back, 467 00:26:13,240 --> 00:26:17,320 Speaker 1: and we're back. Another GOP candidates family is begging you 468 00:26:17,440 --> 00:26:22,440 Speaker 1: to vote for not him in Nevada. It's amazing because 469 00:26:22,480 --> 00:26:25,679 Speaker 1: first year, like people like Bob Goodlot's son was being like, 470 00:26:25,720 --> 00:26:27,360 Speaker 1: my dad sucks. And then there was that other guy 471 00:26:27,400 --> 00:26:29,600 Speaker 1: who all his siblings were in that ad like and 472 00:26:29,680 --> 00:26:32,399 Speaker 1: I know he sucks because I'm his brother, I'm his sister. 473 00:26:32,880 --> 00:26:35,639 Speaker 1: And now there's another op ed for this guy. I 474 00:26:35,680 --> 00:26:38,480 Speaker 1: may be pronouncing his name wrong, Adam Waxol. He's he's 475 00:26:38,560 --> 00:26:41,680 Speaker 1: running for a governor in Nevada. He's the Republican candidate, 476 00:26:42,040 --> 00:26:44,879 Speaker 1: and his family members published an op ed in the 477 00:26:44,960 --> 00:26:47,720 Speaker 1: Reno Gazette being like, please don't vote for our brothers. 478 00:26:48,000 --> 00:26:50,879 Speaker 1: He's full of shit, Like essentially is what it boils 479 00:26:50,920 --> 00:26:54,000 Speaker 1: down to there, Like for starters, the man's claiming he's 480 00:26:54,000 --> 00:26:56,680 Speaker 1: from Nevada. First of all, yes, he was born in Reno, 481 00:26:56,920 --> 00:26:58,399 Speaker 1: and then we moved the funk out of there when 482 00:26:58,440 --> 00:27:00,600 Speaker 1: he was a baby and lived indeed for all of 483 00:27:00,600 --> 00:27:03,320 Speaker 1: our lives. He only moved back to when he wanted 484 00:27:03,359 --> 00:27:06,440 Speaker 1: to become a politician. Next point, he acts like he's 485 00:27:06,480 --> 00:27:08,879 Speaker 1: some folksy dude, have you, And then like they're bringing 486 00:27:08,960 --> 00:27:11,280 Speaker 1: up this thing that he did, like the basque fry, 487 00:27:11,320 --> 00:27:12,880 Speaker 1: which was like something you know, they had like hay 488 00:27:12,960 --> 00:27:15,479 Speaker 1: bales and things. And this is the thing. Uh, they 489 00:27:15,520 --> 00:27:17,760 Speaker 1: were talking about how like he has like this fake 490 00:27:17,840 --> 00:27:20,080 Speaker 1: aura and this is from a quote from it. Adam 491 00:27:20,160 --> 00:27:23,159 Speaker 1: is dressed in a quote Western shirt monogrammed with his 492 00:27:23,240 --> 00:27:26,679 Speaker 1: campaign logo quote work boots and jeans that look like 493 00:27:26,720 --> 00:27:30,000 Speaker 1: they were ordered off Amazon the week before. If Adam 494 00:27:30,080 --> 00:27:32,200 Speaker 1: is elected governor, these values will be put in danger. 495 00:27:32,200 --> 00:27:33,840 Speaker 1: So they're talking about how he's just a train wreck. 496 00:27:34,200 --> 00:27:36,119 Speaker 1: They just go down a list and it just shows. 497 00:27:36,119 --> 00:27:38,400 Speaker 1: It shows you that people are starting to just sort 498 00:27:38,400 --> 00:27:40,720 Speaker 1: of get fed up with other people's bullshit too, because 499 00:27:40,720 --> 00:27:42,720 Speaker 1: they're just being like man, Like before it was fine 500 00:27:42,760 --> 00:27:44,320 Speaker 1: when he was just trying to be a you know, 501 00:27:44,440 --> 00:27:47,280 Speaker 1: politician or whatever. But I think they're seeing how aggressively 502 00:27:47,320 --> 00:27:49,639 Speaker 1: full of ship some people are and they're like, I'm sorry, 503 00:27:49,680 --> 00:27:51,240 Speaker 1: I have to I have to air this dude out. 504 00:27:51,400 --> 00:27:53,840 Speaker 1: Starting this is too much. Yeah, and you gotta start snitching, 505 00:27:53,880 --> 00:27:56,760 Speaker 1: start snitching because because just like people just like the 506 00:27:56,760 --> 00:27:59,440 Speaker 1: Germans were, like, man, somebody turned our family into the Nazis. 507 00:27:59,640 --> 00:28:01,639 Speaker 1: You could do the ship on the left too. You 508 00:28:01,720 --> 00:28:04,360 Speaker 1: could be like the homeboy is not a liberal at all. 509 00:28:04,520 --> 00:28:06,919 Speaker 1: This dude is straight up saying that he bought Tom's, 510 00:28:06,960 --> 00:28:09,240 Speaker 1: but he don't wear Tom's. He wears Tom's to work, 511 00:28:09,240 --> 00:28:10,680 Speaker 1: and then he goes home and he puts on baby 512 00:28:10,720 --> 00:28:14,360 Speaker 1: Ostrich maybe by small small African children who get beat 513 00:28:14,400 --> 00:28:17,239 Speaker 1: up by small Asian children paid to do that. We 514 00:28:17,280 --> 00:28:20,480 Speaker 1: need white people, white people. You'll gotta start snitching dudes. 515 00:28:20,600 --> 00:28:23,760 Speaker 1: You'all gotta start snitching on dudes to know, be super creepy. 516 00:28:24,160 --> 00:28:27,000 Speaker 1: Don't don't wait until people come forward. Don't wait till 517 00:28:27,000 --> 00:28:28,680 Speaker 1: your black friend is like that person's a little racist. 518 00:28:28,680 --> 00:28:30,679 Speaker 1: Don't wait for your girlfriend to come and be like 519 00:28:30,680 --> 00:28:35,800 Speaker 1: that dude is a little creepy. Start snitching, man. Gosh, 520 00:28:36,000 --> 00:28:38,920 Speaker 1: we I think something's big is happening in the news. 521 00:28:38,920 --> 00:28:41,840 Speaker 1: I can't quite put my finger on it. Apparently, well, 522 00:28:41,920 --> 00:28:46,080 Speaker 1: the Secret Service had intercepted some explosive devices that were 523 00:28:46,120 --> 00:28:50,520 Speaker 1: addressed to uh oh, the Obama's Clinton's CNN studios in 524 00:28:50,560 --> 00:28:53,880 Speaker 1: New York, and they say these are nearly identical devices 525 00:28:53,880 --> 00:28:56,640 Speaker 1: to the ones that was mailed to George Soros, the 526 00:28:56,960 --> 00:29:00,880 Speaker 1: liberal boogeyman that the right loves to portray all the time. 527 00:29:01,440 --> 00:29:03,760 Speaker 1: And then this list kind of got longer. So on 528 00:29:03,840 --> 00:29:07,800 Speaker 1: the last few days, suspicious potentially explosive packages have been 529 00:29:07,840 --> 00:29:11,520 Speaker 1: sent to those people. In addition to x CIA director 530 00:29:11,600 --> 00:29:14,000 Speaker 1: John Brendan, Debbie Washerman Schultz who's the x d n 531 00:29:14,000 --> 00:29:19,840 Speaker 1: C chair, ex Attorney General Eric Holder, Kamala Harris, Maxine Waters. 532 00:29:19,880 --> 00:29:23,760 Speaker 1: Just the name many and wow, I'm yeah, and I'm 533 00:29:23,800 --> 00:29:27,320 Speaker 1: trying to think, how, like what's the connected, Like what 534 00:29:27,360 --> 00:29:29,560 Speaker 1: do all these things have in common? And I couldn't 535 00:29:29,640 --> 00:29:31,280 Speaker 1: quite figure it out. And I was like, wait a second, 536 00:29:31,320 --> 00:29:34,360 Speaker 1: that's right. These are all people who are on the 537 00:29:34,400 --> 00:29:39,240 Speaker 1: receiving end of the president's violent rhetoric about attacking his enemies, 538 00:29:39,240 --> 00:29:41,840 Speaker 1: political enemies, his locker up rhetoric when it comes to 539 00:29:41,880 --> 00:29:45,120 Speaker 1: Hillary Clinton, his journalists are the enemy of the people rhetoric, 540 00:29:45,400 --> 00:29:49,080 Speaker 1: and Obama is not American. We're seeing this play out 541 00:29:49,160 --> 00:29:51,600 Speaker 1: because again people like, oh, well, he's just that's what 542 00:29:51,640 --> 00:29:53,560 Speaker 1: he says, that's what he says. There's just words are 543 00:29:53,600 --> 00:29:57,200 Speaker 1: just words. But guess what, these words have a direct 544 00:29:57,240 --> 00:29:59,840 Speaker 1: impact on people. And there's clearly someone or a group 545 00:29:59,880 --> 00:30:02,800 Speaker 1: of people who have clearly taken his words to heart 546 00:30:02,840 --> 00:30:06,320 Speaker 1: because now they're acting on it, uh, in potentially violent ways. 547 00:30:06,360 --> 00:30:09,760 Speaker 1: I mean, luckily no one was hurt, and you still wonder. 548 00:30:09,800 --> 00:30:12,479 Speaker 1: I mean, like the people I named are probably like 549 00:30:12,560 --> 00:30:16,320 Speaker 1: the front row of Trump's like hater team, but there 550 00:30:16,360 --> 00:30:18,520 Speaker 1: are so many other people have been on the receiving 551 00:30:18,600 --> 00:30:21,280 Speaker 1: end of that that you wonder, like, how many other 552 00:30:21,320 --> 00:30:24,120 Speaker 1: people could be at risk? And what this people people 553 00:30:24,160 --> 00:30:29,880 Speaker 1: like people like Jamille Hill and Colin Kaepernick don't have. Well, 554 00:30:29,920 --> 00:30:33,320 Speaker 1: here's the thing to the other people, right is, for instance, 555 00:30:33,400 --> 00:30:37,160 Speaker 1: Ted Cruz ran this political ad today where he's walking 556 00:30:37,160 --> 00:30:40,600 Speaker 1: through a grocery store and people are yelling at him 557 00:30:40,680 --> 00:30:43,040 Speaker 1: like get out of here, we don't like you, blah 558 00:30:43,040 --> 00:30:45,160 Speaker 1: blah blah blah blah, and then he ends it with 559 00:30:45,320 --> 00:30:49,840 Speaker 1: Texas Tough, right, And there's this whole rhetoric and and 560 00:30:49,840 --> 00:30:52,800 Speaker 1: and dialogue about you know, the Democrats and the left 561 00:30:54,160 --> 00:30:58,400 Speaker 1: us the violent left, and the flip side to that, Like, 562 00:30:58,560 --> 00:31:00,520 Speaker 1: that's what y'all want to worry about. Fine, y'all can't 563 00:31:00,560 --> 00:31:03,360 Speaker 1: take some people saying, hey, we don't want you in 564 00:31:03,400 --> 00:31:06,480 Speaker 1: our restaurant, and that's violent to you. Fine, the flip 565 00:31:06,520 --> 00:31:09,360 Speaker 1: side that we have to worry about is people taking 566 00:31:09,400 --> 00:31:12,440 Speaker 1: our lives. And that is what the flip side is, 567 00:31:13,120 --> 00:31:16,920 Speaker 1: whether it is people killing black people because on the 568 00:31:16,920 --> 00:31:21,360 Speaker 1: train stations or people sending bombs to Democrats and people 569 00:31:21,480 --> 00:31:24,720 Speaker 1: who hit we're getting get hit by cars and that 570 00:31:25,680 --> 00:31:28,640 Speaker 1: and and and the fact that that is not even 571 00:31:28,720 --> 00:31:31,560 Speaker 1: something that they are willing to talk about, Well, they 572 00:31:31,560 --> 00:31:33,800 Speaker 1: know that's their shame. That's the whole shame of this 573 00:31:33,840 --> 00:31:35,360 Speaker 1: whole game, the kick in case that they were gonna 574 00:31:35,360 --> 00:31:38,000 Speaker 1: burn crosses in black districts on the way to voting. Yeah, 575 00:31:38,280 --> 00:31:40,800 Speaker 1: And I two things to that. One is like I 576 00:31:40,840 --> 00:31:42,680 Speaker 1: went on Twitter looking about this in a a little morning, 577 00:31:42,680 --> 00:31:46,160 Speaker 1: just looking at responses from people, and what's crazy about 578 00:31:46,160 --> 00:31:49,160 Speaker 1: the far right to me is that there wasn't like a, hey, 579 00:31:49,240 --> 00:31:51,280 Speaker 1: we obviously disagree with these people, but we shouldn't be 580 00:31:51,280 --> 00:31:54,480 Speaker 1: throwing bombs to them. It was immediate jump to conspiracy 581 00:31:54,520 --> 00:31:56,160 Speaker 1: theories and it was like the Dems are doing this 582 00:31:56,200 --> 00:31:59,160 Speaker 1: on purpose to make it look like we're doing it, 583 00:31:59,320 --> 00:32:00,880 Speaker 1: which means that they were trying to get out the 584 00:32:00,960 --> 00:32:03,280 Speaker 1: vote because they're trying to suppress the vote for ourselves. 585 00:32:03,440 --> 00:32:05,360 Speaker 1: Like you're just jump into a conspiracy theory that some 586 00:32:05,480 --> 00:32:08,560 Speaker 1: Democratic person is doing this to like it's a conspiracy theory, 587 00:32:08,720 --> 00:32:11,400 Speaker 1: and it's like, why is the far right so prone 588 00:32:11,440 --> 00:32:13,640 Speaker 1: to conspiracy theories? Pizza Gate and ship like that. I 589 00:32:13,640 --> 00:32:16,240 Speaker 1: think they're unable to own the flaws of some of 590 00:32:16,280 --> 00:32:18,960 Speaker 1: the people that support them, and all of the platform 591 00:32:19,040 --> 00:32:21,520 Speaker 1: that they're built on is just built on hatred. And 592 00:32:21,600 --> 00:32:24,480 Speaker 1: one senator even said, this is probably a dem who's 593 00:32:24,520 --> 00:32:27,040 Speaker 1: doing this. It's not even it's not a It is 594 00:32:27,080 --> 00:32:29,160 Speaker 1: a conspiracy theory. But that's not the root of it. 595 00:32:29,200 --> 00:32:33,400 Speaker 1: The root of it is the fact that they don't 596 00:32:33,440 --> 00:32:37,920 Speaker 1: want to have the real conversation. It's like, oh, yeah, 597 00:32:38,000 --> 00:32:41,560 Speaker 1: the damns are doing this instead of no, we are 598 00:32:41,680 --> 00:32:47,280 Speaker 1: creating this rhetoric in this there's blood on our hands. Right. 599 00:32:47,320 --> 00:32:49,400 Speaker 1: That's why you'll never hear the pundits on the right, 600 00:32:49,480 --> 00:32:51,960 Speaker 1: even on Fox News, they're like they were at first like, okay, 601 00:32:52,000 --> 00:32:54,560 Speaker 1: we'll look into this, and sometimes like on Drudge, they 602 00:32:54,600 --> 00:32:56,400 Speaker 1: were saying like, oh, the White House even got sent 603 00:32:56,440 --> 00:32:58,520 Speaker 1: one to try and make it seem like, hey, everybody 604 00:32:58,600 --> 00:33:01,600 Speaker 1: was getting it. But that was that was debunked, or 605 00:33:01,640 --> 00:33:05,640 Speaker 1: at least they were saying that report wasn't actually verified. Um, 606 00:33:05,720 --> 00:33:07,760 Speaker 1: and yeah, when you look at some of the conservative 607 00:33:07,800 --> 00:33:10,800 Speaker 1: pundits now in the aftermath of all these explosive devices 608 00:33:10,800 --> 00:33:13,440 Speaker 1: showing up, they're saying, ship like this is an anti 609 00:33:13,480 --> 00:33:16,920 Speaker 1: FO false flag attack, um or that this is like 610 00:33:16,960 --> 00:33:19,840 Speaker 1: all the other fake hate crimes that they say that 611 00:33:19,880 --> 00:33:21,720 Speaker 1: the right is behind and like and they'll be like 612 00:33:21,760 --> 00:33:23,800 Speaker 1: and they're all fake just so you know. Uh, and 613 00:33:23,840 --> 00:33:25,840 Speaker 1: then even Russia. Limbaugh is out here doing the same 614 00:33:25,880 --> 00:33:28,240 Speaker 1: thing too, saying like this is a fake attack, or 615 00:33:28,360 --> 00:33:30,080 Speaker 1: just saying like, of course they're doing this to make 616 00:33:30,160 --> 00:33:32,000 Speaker 1: us look bad because they're trying to drum up support 617 00:33:32,000 --> 00:33:35,160 Speaker 1: for mid terms. How like, I mean, that is just 618 00:33:35,560 --> 00:33:39,880 Speaker 1: the height of absurda. It's a disregard for life. And 619 00:33:40,080 --> 00:33:42,920 Speaker 1: you know, nobody's saying when the Democratic girls had it 620 00:33:43,560 --> 00:33:48,120 Speaker 1: or somebody on the left gails at public office, person 621 00:33:48,400 --> 00:33:51,600 Speaker 1: at a restaurant. They're not saying, ah, that stage because 622 00:33:51,640 --> 00:33:58,200 Speaker 1: that doesn't affect life. That affects comfort, right, and this 623 00:33:58,920 --> 00:34:03,000 Speaker 1: threatening to kill people, Yeah, that affects life, and they 624 00:34:03,040 --> 00:34:05,560 Speaker 1: don't care about that. It's about power, is about money, 625 00:34:05,600 --> 00:34:08,760 Speaker 1: it's about staying in office, it's about it's about fear 626 00:34:09,040 --> 00:34:12,879 Speaker 1: of being second. And that is the problem. Well yeah, 627 00:34:12,880 --> 00:34:16,839 Speaker 1: and now they're making that existential threat of lost uh 628 00:34:16,920 --> 00:34:20,840 Speaker 1: status is now turning into them creating an existential threat 629 00:34:20,920 --> 00:34:24,400 Speaker 1: of like violence to their lives. Now and that's the 630 00:34:24,400 --> 00:34:27,600 Speaker 1: the entire game plan, which is, like you say, the 631 00:34:27,640 --> 00:34:31,680 Speaker 1: people who are morally outraged, who are expressing their moral 632 00:34:31,719 --> 00:34:35,360 Speaker 1: outrage of policies, their weaponizing that to say they're violent, 633 00:34:35,760 --> 00:34:38,880 Speaker 1: see what they're doing to us without acknowledging what provoked 634 00:34:38,920 --> 00:34:41,799 Speaker 1: this moral outrage. And another thing too, is that's now 635 00:34:41,880 --> 00:34:44,880 Speaker 1: just being like, okay, we need to vilify and dehumanize 636 00:34:45,000 --> 00:34:48,480 Speaker 1: our political rivals to begin for people to even seeing 637 00:34:48,520 --> 00:34:51,200 Speaker 1: them as not human, which leads to behavior like this 638 00:34:51,239 --> 00:34:53,799 Speaker 1: where they're like, oh, well, I'm willing to make an 639 00:34:53,800 --> 00:34:57,359 Speaker 1: attempt to harm or injure somebody because this is the 640 00:34:57,400 --> 00:34:59,839 Speaker 1: diet I'm on, the rhetoric I'm consuming all the time, 641 00:35:00,120 --> 00:35:03,759 Speaker 1: and I really feel like you know, Pete, places like 642 00:35:03,800 --> 00:35:07,400 Speaker 1: Fox and you know other middle or not that other Foxes, 643 00:35:07,440 --> 00:35:09,640 Speaker 1: Middle of the Road and you know, more centrist news 644 00:35:09,680 --> 00:35:14,440 Speaker 1: outlets really have to begin analyzing what the president's words 645 00:35:14,840 --> 00:35:17,120 Speaker 1: like have been on a continuum and looking at that 646 00:35:17,160 --> 00:35:19,719 Speaker 1: and say this is how we're getting here because all 647 00:35:19,760 --> 00:35:22,920 Speaker 1: we're all he's feeding his base is a you know, 648 00:35:23,000 --> 00:35:25,560 Speaker 1: we gotta lock her up or you know, these people 649 00:35:25,600 --> 00:35:28,080 Speaker 1: their animals, we gotta do something about him. Yeah, when 650 00:35:28,080 --> 00:35:31,839 Speaker 1: you say that over and over. They're not calling lives lives, 651 00:35:31,840 --> 00:35:34,640 Speaker 1: They're saying President claims, like, no, you know what to lie, 652 00:35:34,840 --> 00:35:37,560 Speaker 1: So you gotta say president lies. President lies because that's 653 00:35:37,560 --> 00:35:40,080 Speaker 1: what he did. He lied. So when when when they 654 00:35:40,120 --> 00:35:42,120 Speaker 1: when President says this and this and this happens in 655 00:35:42,120 --> 00:35:45,320 Speaker 1: the roll lies, the media keeps saying President makes this claim, 656 00:35:45,719 --> 00:35:48,319 Speaker 1: No he lied, say that he lied. And I want 657 00:35:48,360 --> 00:35:49,719 Speaker 1: to bring this up. It's kind of different, but kind 658 00:35:49,760 --> 00:35:51,319 Speaker 1: of the same. You brought up Ted Cruz. This thing 659 00:35:51,320 --> 00:35:54,080 Speaker 1: has been on my mind so much. I can't understand, 660 00:35:54,120 --> 00:35:57,200 Speaker 1: like the blatant hypocrisy that just gets Ted and Trump 661 00:35:57,280 --> 00:35:58,960 Speaker 1: right now we're on this like campaign to make fun 662 00:35:58,960 --> 00:36:02,040 Speaker 1: of how Bedos Aim is not actually Beto when his 663 00:36:02,120 --> 00:36:05,440 Speaker 1: name is Rafael, but Ted's name is Rafael and he's 664 00:36:05,520 --> 00:36:10,359 Speaker 1: by Ted to sound more Texas. I don't understand how 665 00:36:10,520 --> 00:36:13,160 Speaker 1: you can be at a Ted Cruise rally and cheer 666 00:36:13,320 --> 00:36:15,879 Speaker 1: for the line where Ted Cruiz makes fun of Beto, 667 00:36:15,880 --> 00:36:19,000 Speaker 1: Well you're going by a nickname. Well, I can't understand. 668 00:36:19,160 --> 00:36:20,960 Speaker 1: How can you cheer for that? And I go, oh, well, 669 00:36:21,000 --> 00:36:23,320 Speaker 1: the guy we're watching is doing the same thing. Yeah, 670 00:36:23,440 --> 00:36:25,160 Speaker 1: well here's the thing with that, and it goes to 671 00:36:25,520 --> 00:36:28,680 Speaker 1: even connected to this with the violence, and and that 672 00:36:29,719 --> 00:36:31,680 Speaker 1: it's a it's a it's a one side or the 673 00:36:31,719 --> 00:36:34,239 Speaker 1: other thing. Right, if we do it, it's okay. If 674 00:36:34,239 --> 00:36:37,319 Speaker 1: you're doing is wrong type thing. Right. So if you 675 00:36:37,440 --> 00:36:39,480 Speaker 1: do it, if you change your name, you're doing it 676 00:36:39,560 --> 00:36:42,600 Speaker 1: for nefarious reasons. If I do it, I'm doing it 677 00:36:42,640 --> 00:36:44,719 Speaker 1: for love and because I want to relate and all 678 00:36:44,719 --> 00:36:47,920 Speaker 1: this stuff like that. The same with you know, Donald 679 00:36:47,920 --> 00:36:51,359 Speaker 1: Trump and the far right saying, oh, if they yell 680 00:36:51,400 --> 00:36:54,640 Speaker 1: in our faces, they're violent left. They're the violent left. 681 00:36:54,840 --> 00:36:57,800 Speaker 1: But then at a rally last week when the journalist 682 00:36:57,880 --> 00:37:02,880 Speaker 1: body slams somebody, well, isn't that great Russell Hill? You know, 683 00:37:02,920 --> 00:37:05,600 Speaker 1: because if we do it, it's for a reason. That's 684 00:37:05,640 --> 00:37:09,399 Speaker 1: for patriotism in country. Yeah that was back in Greig 685 00:37:09,480 --> 00:37:15,279 Speaker 1: jan Forte. Yeah, but he taught that exactly. But but 686 00:37:15,320 --> 00:37:17,640 Speaker 1: if we yell in your face, we're violent. Well again, 687 00:37:17,680 --> 00:37:20,000 Speaker 1: it's because they have to absolve themselves of any guilt 688 00:37:20,640 --> 00:37:23,880 Speaker 1: or any any responsibility in this. It's always like I 689 00:37:23,880 --> 00:37:25,680 Speaker 1: don't I don't know what's going on there. They're they're 690 00:37:25,719 --> 00:37:27,759 Speaker 1: wild and out. I don't know, but I'm just I'm 691 00:37:27,800 --> 00:37:30,959 Speaker 1: just doing my thing. And again this sort of vilification 692 00:37:31,080 --> 00:37:33,960 Speaker 1: and and fear campaign that they used to just sort 693 00:37:34,000 --> 00:37:37,640 Speaker 1: of unify their base. It bleeds into also this migrant 694 00:37:37,640 --> 00:37:41,799 Speaker 1: care migrant caravan that's coming up through Central America in 695 00:37:41,880 --> 00:37:46,360 Speaker 1: Mexico towards the US border. Yeah, where again it's the 696 00:37:46,440 --> 00:37:50,880 Speaker 1: same tactics where it's trying to obscure what the reality 697 00:37:50,960 --> 00:37:53,200 Speaker 1: is to the point to not to begin to see 698 00:37:53,239 --> 00:37:56,200 Speaker 1: these people as not human beings but as violent people 699 00:37:56,239 --> 00:37:59,200 Speaker 1: who are hell bent on your destruction. And Middle Eastern 700 00:37:59,320 --> 00:38:02,600 Speaker 1: and Brown person and Indian person. It bothers me that 701 00:38:03,000 --> 00:38:07,000 Speaker 1: even the Left is saying things that they're trying to defend, 702 00:38:07,000 --> 00:38:09,320 Speaker 1: but it's just like insidious racism. Like I saw a 703 00:38:09,360 --> 00:38:12,319 Speaker 1: lot of things today that we're like even when they're saying, oh, 704 00:38:12,360 --> 00:38:15,400 Speaker 1: there's clearly no Middle Easterners in that thing, it's like 705 00:38:15,480 --> 00:38:19,440 Speaker 1: a disparaging term. It's like as if yeah, Like it's 706 00:38:19,440 --> 00:38:21,719 Speaker 1: like it's like it's like no Trump, there's no there's 707 00:38:21,719 --> 00:38:23,920 Speaker 1: no Middle Easterners coming in. And then I saw one 708 00:38:23,960 --> 00:38:26,799 Speaker 1: that was like why is everyone so mad that this 709 00:38:27,000 --> 00:38:28,680 Speaker 1: migrant caravans coming in and they're the ones that are 710 00:38:28,680 --> 00:38:30,640 Speaker 1: going to cut your lawns and clean your dishes and 711 00:38:30,680 --> 00:38:32,799 Speaker 1: do your thing. And I'm like, or they can teach 712 00:38:32,840 --> 00:38:35,840 Speaker 1: your kids. Yeah, and I was like, I get your point, 713 00:38:35,920 --> 00:38:40,279 Speaker 1: but that's pretty insidiously racist as well that like, well, 714 00:38:40,440 --> 00:38:43,200 Speaker 1: you know the amount of like you're saying, Like one 715 00:38:43,239 --> 00:38:46,400 Speaker 1: of the claims has been that it's filled with Middle 716 00:38:46,400 --> 00:38:49,160 Speaker 1: Eastern people coming in here, and ISIS members who are 717 00:38:49,200 --> 00:38:51,120 Speaker 1: part of this caravan because they're doing like a trojan 718 00:38:51,120 --> 00:38:54,479 Speaker 1: horse type thing. And again that is that all came 719 00:38:54,520 --> 00:38:57,839 Speaker 1: out of the Guatemalan president last week just said, oh, 720 00:38:57,880 --> 00:39:00,279 Speaker 1: we arrested like a hundred people who we've you saw, 721 00:39:00,320 --> 00:39:02,920 Speaker 1: we're connected with ISIS. That was before like this caravan 722 00:39:02,920 --> 00:39:06,759 Speaker 1: story started to gain traction, and that was but that 723 00:39:06,800 --> 00:39:10,799 Speaker 1: claim was totally unfounded and unverified. But again they heard 724 00:39:10,800 --> 00:39:14,520 Speaker 1: this person. They said, oh well, okay, Guatemala said, ISIS 725 00:39:14,680 --> 00:39:16,719 Speaker 1: that means people are coming from what? Okay, we can 726 00:39:16,760 --> 00:39:19,360 Speaker 1: lump that together conflict the story like ISIS needs to 727 00:39:19,400 --> 00:39:23,839 Speaker 1: come through Mexico. The nine eleven hijackers had passports from 728 00:39:23,880 --> 00:39:27,839 Speaker 1: Saudi Arabia. I don't understand why we are they flew here, right, 729 00:39:27,920 --> 00:39:30,640 Speaker 1: They got on airplanes and they flew here from your 730 00:39:30,760 --> 00:39:35,160 Speaker 1: ally country, Mr Trump. Saudi Arabia. Mr, that's the country 731 00:39:35,160 --> 00:39:37,560 Speaker 1: you love so much. And how come when we did 732 00:39:37,560 --> 00:39:39,759 Speaker 1: the whole Muslim like that whole what's it called where 733 00:39:39,760 --> 00:39:41,600 Speaker 1: they like blacked out certain countries or Muslim able to 734 00:39:41,640 --> 00:39:43,960 Speaker 1: come here? Saudi Arabia was not on that of course 735 00:39:44,680 --> 00:39:46,920 Speaker 1: the list and they had sixteen out of the eighteen hijackers. 736 00:39:47,160 --> 00:39:49,600 Speaker 1: So what are you talking about, Like, well, they got 737 00:39:49,640 --> 00:39:51,200 Speaker 1: they flew here. They don't need to come in here. 738 00:39:51,880 --> 00:39:55,319 Speaker 1: But we can't get too outraged by this because this 739 00:39:55,360 --> 00:39:58,000 Speaker 1: is such a predictable game plan. It's just you know, 740 00:39:58,200 --> 00:39:59,880 Speaker 1: it's not surprised. We can we can sit here and 741 00:40:00,000 --> 00:40:02,240 Speaker 1: poke poke holes in the logic of all the arguments 742 00:40:02,280 --> 00:40:05,279 Speaker 1: all day because everything is illogical and only appeals to 743 00:40:05,280 --> 00:40:09,120 Speaker 1: people's just base fears and just it's the worst in people. 744 00:40:09,440 --> 00:40:12,080 Speaker 1: And again and we have to and the problem is 745 00:40:12,200 --> 00:40:17,799 Speaker 1: right that these shitty misinformation, like this misinformation campaign or 746 00:40:17,800 --> 00:40:21,080 Speaker 1: these lies, they because they gain traction with the right 747 00:40:21,760 --> 00:40:24,319 Speaker 1: other media outlets have to report on them, because so 748 00:40:24,360 --> 00:40:27,160 Speaker 1: many people are talking about it that it begins to 749 00:40:27,280 --> 00:40:30,440 Speaker 1: like lend an air of credibility to it because CNN 750 00:40:30,480 --> 00:40:32,239 Speaker 1: has to be like, well, they're saying, there's I said 751 00:40:32,239 --> 00:40:36,240 Speaker 1: and that's not true, and sadly it pulls the coverage 752 00:40:36,239 --> 00:40:39,879 Speaker 1: in the direction that is completely ridiculous. Like again, even 753 00:40:39,960 --> 00:40:42,600 Speaker 1: Pence like two days ago, said, oh, I spoke to 754 00:40:42,640 --> 00:40:45,160 Speaker 1: the Honduran president and he said basically that this is 755 00:40:45,239 --> 00:40:48,720 Speaker 1: being funded by the Venezuelans and organized by leftist groups. 756 00:40:48,920 --> 00:40:52,880 Speaker 1: Now the organizer of the caravan is a former Honduran lawmaker, 757 00:40:53,480 --> 00:40:56,840 Speaker 1: Bartola Fuentez, and he's like, yo, this has nothing to 758 00:40:56,880 --> 00:40:59,120 Speaker 1: do with Venezuela, because let me tell you something. The 759 00:40:59,160 --> 00:41:01,600 Speaker 1: Honduran president he and be real about why people are 760 00:41:01,680 --> 00:41:04,400 Speaker 1: leaving at a r a day. It's because of the 761 00:41:04,480 --> 00:41:07,840 Speaker 1: rampant violence and corruption that's happening under his watch. And 762 00:41:07,880 --> 00:41:09,319 Speaker 1: you think he's gonna be there to be like, hey, 763 00:41:09,360 --> 00:41:11,520 Speaker 1: I'm a shitty president, so everybody wants to get the 764 00:41:11,520 --> 00:41:13,799 Speaker 1: funk out and the US government is propping me up 765 00:41:13,840 --> 00:41:17,279 Speaker 1: because there are military installations here, Like that's why it's 766 00:41:17,320 --> 00:41:20,200 Speaker 1: so clear. Why then you just have to pivot to Okay, 767 00:41:20,320 --> 00:41:22,440 Speaker 1: let's make this thing look as evil as possible so 768 00:41:22,480 --> 00:41:25,719 Speaker 1: people can just hop on board with the xenophobic agenda 769 00:41:26,040 --> 00:41:29,200 Speaker 1: and obscure the fact that these are human beings who 770 00:41:29,280 --> 00:41:32,359 Speaker 1: are fleeing their countries. You don't. I don't doubt any 771 00:41:32,400 --> 00:41:34,440 Speaker 1: of these people want to leave, especially if there was 772 00:41:34,480 --> 00:41:36,560 Speaker 1: an if their countries were stable, I don't think they 773 00:41:36,600 --> 00:41:38,680 Speaker 1: were like, oh I would love to leave my home. Yeah, 774 00:41:39,239 --> 00:41:40,800 Speaker 1: I would love to leave my family, and yeah, but 775 00:41:40,880 --> 00:41:44,040 Speaker 1: if the situation is too is it's untenable and we're 776 00:41:44,040 --> 00:41:46,120 Speaker 1: not We're not like most our guests on the right. 777 00:41:46,120 --> 00:41:48,800 Speaker 1: They don't even acknowledge that sort of basic human urge 778 00:41:48,880 --> 00:41:52,520 Speaker 1: to you know, avoid pain and seek prosperity is the 779 00:41:52,560 --> 00:41:55,720 Speaker 1: fair thing, you know it is. Yeah, let's care about 780 00:41:55,880 --> 00:41:57,960 Speaker 1: you know, this is why you need us an office 781 00:41:57,960 --> 00:42:00,479 Speaker 1: because we can protect it from this. But there's nothing 782 00:42:00,520 --> 00:42:02,800 Speaker 1: to I don't want to say there's nothing to protect 783 00:42:02,880 --> 00:42:05,200 Speaker 1: us from, because there are obviously things to protect us from. 784 00:42:05,200 --> 00:42:11,279 Speaker 1: Its people send you motherfucking bombs people, Yeah, let's worry 785 00:42:11,280 --> 00:42:13,760 Speaker 1: about that. Well again, and that's why the other reason 786 00:42:13,840 --> 00:42:16,080 Speaker 1: to the police. You have people on the right like 787 00:42:16,200 --> 00:42:18,360 Speaker 1: Rush Limbaugh like he's like, well, this had to have 788 00:42:18,400 --> 00:42:21,359 Speaker 1: been the Democrats, And his argument was because our people 789 00:42:21,400 --> 00:42:25,040 Speaker 1: don't do stuff like that. And you're like, okay, so 790 00:42:25,120 --> 00:42:28,960 Speaker 1: y'all are in full shot up those churches in South Carolina, right, 791 00:42:29,000 --> 00:42:33,520 Speaker 1: who shut up, Las Vegas. I mean, look, this is again, 792 00:42:33,680 --> 00:42:36,200 Speaker 1: this is what happens when they begin to see their 793 00:42:36,239 --> 00:42:38,399 Speaker 1: power slip a little bit, and you have to do 794 00:42:38,480 --> 00:42:41,560 Speaker 1: everything you can to try and I mean, you know, look, 795 00:42:41,719 --> 00:42:43,719 Speaker 1: I get it, I get it. You know. I used 796 00:42:43,760 --> 00:42:45,560 Speaker 1: to play a little basketball based on how we play 797 00:42:45,640 --> 00:42:48,520 Speaker 1: basketball before and you know, back when I found out 798 00:42:48,560 --> 00:42:52,239 Speaker 1: much jump shot was slipping a little bit, you know, 799 00:42:52,400 --> 00:42:56,520 Speaker 1: and you know, you know, and and before and before 800 00:42:56,560 --> 00:42:58,480 Speaker 1: we started playing, you know, I would be talking of 801 00:42:58,600 --> 00:43:03,280 Speaker 1: a game like y'all want this jumping man jump eleven feet, 802 00:43:03,680 --> 00:43:06,400 Speaker 1: you know know, and I can, and just so people 803 00:43:06,400 --> 00:43:08,960 Speaker 1: would think, like, let's keep him out the paint. Let'sten, 804 00:43:09,040 --> 00:43:11,280 Speaker 1: you know, and then trying to add to the perception, 805 00:43:11,360 --> 00:43:14,840 Speaker 1: trying to add to the perception. Well we'll see. Maybe 806 00:43:14,880 --> 00:43:16,880 Speaker 1: we'll have to see you on the court. Yeah, smallest 807 00:43:16,880 --> 00:43:20,319 Speaker 1: dog marked the loudest exactly. Well again, you know, this 808 00:43:20,400 --> 00:43:22,879 Speaker 1: is just all uh, this is this is the year 809 00:43:22,920 --> 00:43:26,440 Speaker 1: of our Lord. Eighteen things that are happening. All right, 810 00:43:26,480 --> 00:43:28,480 Speaker 1: we're gonna take another quick break. We'll be right back, 811 00:43:36,880 --> 00:43:40,160 Speaker 1: and we're back. Another thing I want to talk about 812 00:43:40,320 --> 00:43:43,600 Speaker 1: is I don't know if you guys get like wild 813 00:43:43,680 --> 00:43:46,920 Speaker 1: fucking amounts of robocalls or that you get the scam 814 00:43:47,000 --> 00:43:49,080 Speaker 1: likely show up on it. And mine's the worst because 815 00:43:49,239 --> 00:43:51,160 Speaker 1: you know they call from your area. Coach, Yeah, and 816 00:43:51,200 --> 00:43:52,879 Speaker 1: my area Coles, New York. I live in atl It's 817 00:43:52,920 --> 00:43:56,880 Speaker 1: three hours so they're calling me us seven am. And 818 00:43:56,920 --> 00:43:58,600 Speaker 1: I'm like, you get in trouble for that? Well, no, 819 00:43:58,680 --> 00:44:05,600 Speaker 1: because they think it's ten but supposed to so they're like, 820 00:44:05,640 --> 00:44:07,880 Speaker 1: they're like, it's ten. I'm like, no, I'm in l A, 821 00:44:08,200 --> 00:44:11,920 Speaker 1: it's seven. I hate you, right. Reason the reason I 822 00:44:11,920 --> 00:44:14,080 Speaker 1: bring this up is that there was like a study 823 00:44:14,160 --> 00:44:16,520 Speaker 1: done of like robo calling, and it is up like 824 00:44:16,640 --> 00:44:19,440 Speaker 1: nearly double from last year. Like the amount of calls 825 00:44:19,480 --> 00:44:23,160 Speaker 1: people get, whether it's for political stuff or like reminders 826 00:44:23,200 --> 00:44:26,000 Speaker 1: for things like insurance on my back, we'll see. That's 827 00:44:26,040 --> 00:44:27,640 Speaker 1: where the other ones come in, where it's like they're 828 00:44:27,800 --> 00:44:29,680 Speaker 1: just finesse scams or they're trying to be like you 829 00:44:29,880 --> 00:44:32,080 Speaker 1: the I R S nine thousand dollars less gift cards 830 00:44:32,120 --> 00:44:34,080 Speaker 1: to pay off your debt, or other ones to be 831 00:44:34,120 --> 00:44:36,080 Speaker 1: like we want to save you on a new solar 832 00:44:36,280 --> 00:44:39,480 Speaker 1: thing investment. So I was just I was, I get 833 00:44:39,600 --> 00:44:41,840 Speaker 1: so many to the point that I like if you 834 00:44:41,920 --> 00:44:43,480 Speaker 1: listen to the show, I'm sure there are times you 835 00:44:43,480 --> 00:44:45,000 Speaker 1: can hear my phone go off and usually it's a 836 00:44:45,040 --> 00:44:47,680 Speaker 1: fucking robo call, but they were putting it in the context. 837 00:44:47,760 --> 00:44:50,719 Speaker 1: So right now, there was a record of four point 838 00:44:50,800 --> 00:44:54,840 Speaker 1: four billion robo calls received in September, So that breaks 839 00:44:54,880 --> 00:44:59,319 Speaker 1: down to one robo calls a second, okay, or one 840 00:45:00,040 --> 00:45:04,759 Speaker 1: seven million calls per day. There's only Americans call people 841 00:45:04,840 --> 00:45:08,600 Speaker 1: multiple times. There. Yeah, they got, they got, and like 842 00:45:08,640 --> 00:45:12,160 Speaker 1: if you I. We did this on Culture Kings where 843 00:45:12,360 --> 00:45:14,839 Speaker 1: I picked up the phone and called them back and 844 00:45:14,840 --> 00:45:18,799 Speaker 1: did a whole segment the I R S. Yeah, it 845 00:45:19,000 --> 00:45:22,880 Speaker 1: is wild. It's just how how some of those scams out, 846 00:45:22,880 --> 00:45:27,080 Speaker 1: how some of those scares operate, and how obvious. Well yeah, 847 00:45:27,120 --> 00:45:29,520 Speaker 1: but that's the thing they're usually praying on, like elderly 848 00:45:29,560 --> 00:45:33,440 Speaker 1: people don't who don't have the savvy to question like 849 00:45:33,480 --> 00:45:36,279 Speaker 1: the technology or the methodology. I always know what's an 850 00:45:36,280 --> 00:45:39,520 Speaker 1: Indian due because they say my name correctly. They like 851 00:45:39,520 --> 00:45:42,680 Speaker 1: they were like, may speak to Mr Bezabu And I'm like, oh, 852 00:45:42,719 --> 00:45:45,319 Speaker 1: you're calling from Good Rock. What's going on there? Not 853 00:45:45,400 --> 00:45:49,200 Speaker 1: calling from Kentucky? Because it's like no, They're like hello, 854 00:45:49,480 --> 00:45:52,279 Speaker 1: they speak to Mr Beza Dabu and I'm like, oh wow, 855 00:45:52,800 --> 00:45:55,680 Speaker 1: what's good. Well, you know, they but they also did 856 00:45:55,719 --> 00:45:58,560 Speaker 1: analysis of like the areas that are getting the most calls, 857 00:45:58,640 --> 00:46:01,759 Speaker 1: and some I makes sense, like they're bigger areas like 858 00:46:02,040 --> 00:46:04,480 Speaker 1: l A and New York, but then other ones are 859 00:46:04,520 --> 00:46:08,719 Speaker 1: like Atlanta has by far the most robo calls in 860 00:46:08,840 --> 00:46:11,720 Speaker 1: terms of like like in terms of the area code 861 00:46:11,719 --> 00:46:14,200 Speaker 1: stats four or four is the hottest area go for 862 00:46:14,280 --> 00:46:17,520 Speaker 1: robal cause, which I get because well, I wonder I 863 00:46:17,560 --> 00:46:22,120 Speaker 1: think it's part of this literally, yeah, it's ludicrous. Uh. 864 00:46:25,160 --> 00:46:34,799 Speaker 1: He was like one but this one call Maryland but 865 00:46:34,960 --> 00:46:37,880 Speaker 1: this uh you know, like I think for Atlanta it 866 00:46:37,920 --> 00:46:40,719 Speaker 1: could make sense because there's a huge governor's race there 867 00:46:40,920 --> 00:46:43,919 Speaker 1: and there could be money pouring in for like elections. Uh. 868 00:46:43,960 --> 00:46:46,600 Speaker 1: And like then Dallas in Houston that could also be 869 00:46:46,600 --> 00:46:49,719 Speaker 1: because elections are very important in that state. But then 870 00:46:49,840 --> 00:46:51,959 Speaker 1: it starts starts to trickle down, and then you see 871 00:46:51,960 --> 00:46:55,399 Speaker 1: like Miami also another big state going on with governor race. 872 00:46:55,600 --> 00:46:57,719 Speaker 1: Then it's l A, New York, Dallas. But you can 873 00:46:57,760 --> 00:46:59,879 Speaker 1: like look up your area code just to see how 874 00:47:00,200 --> 00:47:03,279 Speaker 1: LYDIA your area code is, and yeah, I mean people 875 00:47:03,320 --> 00:47:05,080 Speaker 1: are getting. Every single one of those cities has a 876 00:47:05,080 --> 00:47:07,680 Speaker 1: lot of English as a second language to yeah, Miami, 877 00:47:07,719 --> 00:47:09,040 Speaker 1: a lot of sl I think you might be able 878 00:47:09,080 --> 00:47:11,480 Speaker 1: to get someone with YESL I don't understand. And I 879 00:47:11,640 --> 00:47:15,320 Speaker 1: r S because the share of it is it's basically 880 00:47:15,480 --> 00:47:20,080 Speaker 1: a payment payment reminders or two. Uh then like telemarketing 881 00:47:20,160 --> 00:47:24,160 Speaker 1: is about someone to sell you something, scams or so, 882 00:47:24,200 --> 00:47:27,120 Speaker 1: it's mostly this scams and their lives be too big, man, 883 00:47:27,320 --> 00:47:29,319 Speaker 1: that lives. First of all, I hate what I can 884 00:47:29,360 --> 00:47:32,400 Speaker 1: coming to arrestue. Yeah, they're coming to arrestue. And I 885 00:47:33,239 --> 00:47:35,399 Speaker 1: called back and it was like, you owe us nine 886 00:47:35,480 --> 00:47:39,120 Speaker 1: hundred and forty million dollars thousand dollars. I was like, 887 00:47:39,560 --> 00:47:41,520 Speaker 1: come on, man, I haven't even made that much money 888 00:47:41,520 --> 00:47:45,480 Speaker 1: in my life. That lies too big. That lies too 889 00:47:45,480 --> 00:47:50,680 Speaker 1: big for me to even so ye something to you like, uh, 890 00:47:50,800 --> 00:47:52,880 Speaker 1: we bring cash, but also give us your bank account. 891 00:47:53,239 --> 00:47:55,360 Speaker 1: Great cash, but can you give us your bank account 892 00:47:55,400 --> 00:47:57,920 Speaker 1: now so we can check you have the money? Well 893 00:47:57,960 --> 00:48:00,719 Speaker 1: I don't. I was like, it's just also, you know 894 00:48:00,760 --> 00:48:02,799 Speaker 1: what I hate. I hate that they use your own 895 00:48:02,800 --> 00:48:05,680 Speaker 1: area code because I'm a paranoid dude. Yeah, I think 896 00:48:05,680 --> 00:48:11,839 Speaker 1: it's my hospital and saying like, yo, somebody's dead right now. 897 00:48:12,040 --> 00:48:13,880 Speaker 1: And sometimes I do answer my area code and it 898 00:48:13,960 --> 00:48:16,600 Speaker 1: is something you know, like hey, this is At one time, 899 00:48:16,600 --> 00:48:19,080 Speaker 1: my mother's office had called because they wanted to surprise 900 00:48:19,120 --> 00:48:21,320 Speaker 1: her for her birthday. If I thought that was a robocall, 901 00:48:21,360 --> 00:48:23,200 Speaker 1: I wouldn't have had that. Like my mom's office called me, 902 00:48:23,200 --> 00:48:25,600 Speaker 1: and I also get an email. Man, don't be calling 903 00:48:25,640 --> 00:48:29,120 Speaker 1: people that should just agree. Even we're in a world 904 00:48:29,120 --> 00:48:31,120 Speaker 1: that if you call me, I think it's nothing happened. Yeah, 905 00:48:31,120 --> 00:48:33,239 Speaker 1: don't know I call people anymore. So if you call me, 906 00:48:33,280 --> 00:48:37,960 Speaker 1: I'm thinking, like, somebody is the fifteenth floor of a building. 907 00:48:38,000 --> 00:48:39,560 Speaker 1: I was on a date a couple of days ago. 908 00:48:39,840 --> 00:48:42,400 Speaker 1: Uh and uh, all right, it was like ten pm 909 00:48:42,560 --> 00:48:45,440 Speaker 1: and it was like pm it was, and I got 910 00:48:45,520 --> 00:48:48,640 Speaker 1: a call from a Chicago friend and she called. I 911 00:48:48,640 --> 00:48:50,400 Speaker 1: think I gotta answer this, So I like, I answered it, 912 00:48:50,440 --> 00:48:52,040 Speaker 1: and she goes, hey, Han, what's up and just like 913 00:48:52,080 --> 00:48:54,239 Speaker 1: you know, shooting the ship And I was like, oh 914 00:48:54,440 --> 00:48:57,439 Speaker 1: was it. I can't answer this. I can't I can't 915 00:48:57,440 --> 00:48:58,880 Speaker 1: talk right now. And she goes, oh, well, why did 916 00:48:58,880 --> 00:49:00,880 Speaker 1: you answer? I was like, because you call right? I 917 00:49:00,880 --> 00:49:03,279 Speaker 1: answered because you called, like I thought you were dead 918 00:49:03,360 --> 00:49:05,239 Speaker 1: like you had something. But if you are nothing to 919 00:49:05,239 --> 00:49:09,560 Speaker 1: talk about, I gotta go somebody I know. Okay, the 920 00:49:09,640 --> 00:49:13,640 Speaker 1: name Dorcas has been traveling all over the place on 921 00:49:13,760 --> 00:49:18,239 Speaker 1: TV online because a young woman by the name of 922 00:49:18,320 --> 00:49:21,839 Speaker 1: Dorcas Riley, who invented the green bean cast role back 923 00:49:21,880 --> 00:49:27,520 Speaker 1: in has passed on. And yeah, she's a legend comfort 924 00:49:27,520 --> 00:49:30,440 Speaker 1: food game. Is her name pronounced Dorcas? Do we know? 925 00:49:30,640 --> 00:49:36,040 Speaker 1: It's probably got some lovely pronunciation that we weren't even imaginings. Yeah, 926 00:49:36,120 --> 00:49:44,040 Speaker 1: maybe maybe, who knows? That actually kind of makes sense? 927 00:49:45,400 --> 00:49:55,000 Speaker 1: Riley falls apart. Yeah, Riley, she invented the green bean castle. 928 00:49:55,120 --> 00:49:57,840 Speaker 1: That's pretty big. That's like, that's like a pillar of 929 00:49:57,840 --> 00:50:00,640 Speaker 1: American comfortast. So what's the key ingredient? And that is 930 00:50:00,640 --> 00:50:05,040 Speaker 1: a cream of mushroom? Yeah, every castle, right is mushroom 931 00:50:05,120 --> 00:50:08,000 Speaker 1: mushroomed with everything else? Well, you know, I mean it 932 00:50:08,080 --> 00:50:11,960 Speaker 1: was invented to sell cream of mushroom soup. What was 933 00:50:12,120 --> 00:50:16,200 Speaker 1: the castle? So? Because had they not rolled out cream 934 00:50:16,200 --> 00:50:21,360 Speaker 1: of mushroom yet? So, so many of the recipes that 935 00:50:21,400 --> 00:50:24,360 Speaker 1: we consider like classic Americana are not from home kitchens. 936 00:50:24,400 --> 00:50:28,920 Speaker 1: They're from food manufacturers. And that's because post World War Two, 937 00:50:28,960 --> 00:50:30,360 Speaker 1: they had all these factories that they had to do 938 00:50:30,440 --> 00:50:32,680 Speaker 1: something with there, like we'll do processed food. Now, we'll 939 00:50:32,680 --> 00:50:34,880 Speaker 1: invent that, and then we have to teach people how 940 00:50:34,880 --> 00:50:37,400 Speaker 1: to cook with it. Oh, that's why everything is basically 941 00:50:37,400 --> 00:50:40,560 Speaker 1: a box rest Like what's on the box typically precipitates 942 00:50:40,600 --> 00:50:42,359 Speaker 1: what we were like, Oh that's a that's our own 943 00:50:42,360 --> 00:50:46,160 Speaker 1: family corporate suggestion. Yeah, yeah, totally. And then't even be 944 00:50:46,160 --> 00:50:48,359 Speaker 1: like little pamphlets that they attached to bottles and stick 945 00:50:48,400 --> 00:50:51,280 Speaker 1: in the boxes and stuff. It's like, here's this food product, 946 00:50:51,680 --> 00:50:53,680 Speaker 1: here's how you have to use it, because you've never 947 00:50:53,680 --> 00:50:55,680 Speaker 1: done it. And that's why like all the different jello 948 00:50:55,760 --> 00:50:57,839 Speaker 1: recipes from the mid century where they were like just 949 00:50:57,920 --> 00:51:00,520 Speaker 1: put anything you on in it, because they were please 950 00:51:00,640 --> 00:51:04,719 Speaker 1: please just put an I'm jello with him? What is 951 00:51:04,760 --> 00:51:08,799 Speaker 1: that someone? I'm jello with shrimp? I forget who One 952 00:51:08,840 --> 00:51:11,400 Speaker 1: of my white friends are telling me about their family, 953 00:51:11,520 --> 00:51:15,359 Speaker 1: like there's a salad that they eat with ham and jello. Yeah. 954 00:51:16,400 --> 00:51:19,680 Speaker 1: The seventies was crazy, man. That was like they just realized, 955 00:51:19,719 --> 00:51:22,240 Speaker 1: like jello came out and it just like people didn't 956 00:51:22,239 --> 00:51:24,560 Speaker 1: know how to act for some reason, like just I 957 00:51:24,560 --> 00:51:26,640 Speaker 1: think it was like the they were like is it 958 00:51:26,680 --> 00:51:28,480 Speaker 1: a solid? Is it a liquid? We don't know what 959 00:51:28,520 --> 00:51:31,040 Speaker 1: the fund to do, and so like go check out 960 00:51:31,040 --> 00:51:33,960 Speaker 1: a seventies cookbook, y'all. It is so funny. Oh yeah, 961 00:51:33,960 --> 00:51:38,440 Speaker 1: I follow on Instagram page like that just wild horrifying, 962 00:51:38,560 --> 00:51:40,280 Speaker 1: and it's like, oh, this is why people are skinny. 963 00:51:40,280 --> 00:51:44,200 Speaker 1: They didn't want to eat anything. Everything. Well, in my mind, 964 00:51:44,239 --> 00:51:47,120 Speaker 1: I'm like, well, it must be palatable if it's a 965 00:51:47,160 --> 00:51:49,279 Speaker 1: family thing they keep making and then they're like, no, 966 00:51:49,400 --> 00:51:54,320 Speaker 1: it's awful. Why these jello salads are real rough? Yeah? 967 00:51:54,400 --> 00:51:56,840 Speaker 1: I saw one with Hollandise sauce on it. It was 968 00:51:56,880 --> 00:52:01,080 Speaker 1: like jello with Yeah, it was like a banana. Yeah. 969 00:52:01,840 --> 00:52:05,720 Speaker 1: Just it's very mad because on my dad's side, really 970 00:52:05,800 --> 00:52:09,440 Speaker 1: solid Southern cooking, barbecue traditional my dad's side, and my 971 00:52:09,480 --> 00:52:12,719 Speaker 1: mom's Japanese, so very good Japanese food, so like I 972 00:52:12,800 --> 00:52:16,200 Speaker 1: was never never had like the closest to that kind 973 00:52:16,200 --> 00:52:18,719 Speaker 1: of thing was like I don't know, marshmallows on ms 974 00:52:18,800 --> 00:52:22,120 Speaker 1: or something, never like live in the same vein, right exactly. 975 00:52:22,400 --> 00:52:24,560 Speaker 1: But that's like the closest thing of like, Okay, I 976 00:52:24,600 --> 00:52:26,759 Speaker 1: see how that came off a bag or whatever. Is 977 00:52:26,800 --> 00:52:31,640 Speaker 1: really also invented tomato soupcake. Okay, so was soupcake? Are 978 00:52:31,640 --> 00:52:35,320 Speaker 1: you saying that Dorcass was one of these food chemists. 979 00:52:35,520 --> 00:52:37,879 Speaker 1: She absolutely, she was a corporate food chemists. She was. 980 00:52:38,280 --> 00:52:40,840 Speaker 1: She got her college degree in home economics, which is 981 00:52:40,880 --> 00:52:45,120 Speaker 1: something that sounds lame and sad now, but at the 982 00:52:45,200 --> 00:52:48,880 Speaker 1: time was like a way for women who wanted to 983 00:52:48,880 --> 00:52:52,000 Speaker 1: be scientists to actually get a degree in sciences and 984 00:52:52,040 --> 00:52:57,120 Speaker 1: they couldn't even just science to economics. All those means 985 00:52:57,120 --> 00:52:59,160 Speaker 1: is that she would have cured cancer if they had 986 00:52:59,239 --> 00:53:04,160 Speaker 1: just let her do anything except yeah, because it was 987 00:53:04,160 --> 00:53:06,719 Speaker 1: all the chemistry of all these packaged foods. Wait, what's 988 00:53:06,719 --> 00:53:11,439 Speaker 1: tomato soup cake? Okay? So? Um? With cakes like chocolate cakes, 989 00:53:11,520 --> 00:53:14,080 Speaker 1: especially auctually flavored cakes, you just need a liquid element 990 00:53:14,120 --> 00:53:15,880 Speaker 1: so that they aren't dry. And it turns out that 991 00:53:15,920 --> 00:53:18,200 Speaker 1: depending on the other ingredients, it doesn't really matter what 992 00:53:18,280 --> 00:53:21,560 Speaker 1: your wet ingredients are. So what I mean it doesn't 993 00:53:21,600 --> 00:53:23,920 Speaker 1: matter like it won't affect it won't affect the flavor 994 00:53:24,040 --> 00:53:27,000 Speaker 1: so much. So if you have a tomato soup cake, 995 00:53:27,040 --> 00:53:29,200 Speaker 1: you're basically making a chocolate cake and adding a can 996 00:53:29,320 --> 00:53:32,600 Speaker 1: of Campbell's Tomato soup for it into it, and that 997 00:53:32,640 --> 00:53:35,920 Speaker 1: adds like a little bit of spicy saltiness, and people 998 00:53:36,000 --> 00:53:38,120 Speaker 1: like salt in their sweets way much more than they 999 00:53:38,160 --> 00:53:40,480 Speaker 1: think they do. And then it also might add a 1000 00:53:40,480 --> 00:53:42,359 Speaker 1: little bit of that color that we also get from 1001 00:53:42,360 --> 00:53:44,760 Speaker 1: red velvet cakes, because red velvet cakes used to actually 1002 00:53:44,760 --> 00:53:46,840 Speaker 1: look like chocolate, which is the main ingredient, with like 1003 00:53:46,840 --> 00:53:49,560 Speaker 1: a hint of red. It's like a devil's food cake originally, right, 1004 00:53:49,600 --> 00:53:52,279 Speaker 1: is that's exactly what it is. There's another variation on 1005 00:53:52,320 --> 00:53:54,200 Speaker 1: that is mayonnaise cake, which is chocolate cake with a 1006 00:53:54,200 --> 00:53:56,279 Speaker 1: ship ton of mayonnaise in it. And do you add 1007 00:53:56,320 --> 00:53:59,080 Speaker 1: these ingredients just like as a prank or like is 1008 00:53:59,120 --> 00:54:02,560 Speaker 1: it just to be like, yo, you just mayonnaise, idiot 1009 00:54:03,080 --> 00:54:09,600 Speaker 1: your arteries. No, not at all. It's actually so and 1010 00:54:09,640 --> 00:54:11,879 Speaker 1: it won't dry out. You add mayonnaise to something, it's 1011 00:54:11,880 --> 00:54:15,160 Speaker 1: not going to dry out. Yo, Tomato soupcake. That sounds 1012 00:54:15,200 --> 00:54:17,319 Speaker 1: actually I want to try out these things. I'm gonna 1013 00:54:17,400 --> 00:54:19,920 Speaker 1: do the Dorcas Grand Prix then totally, and it'll also 1014 00:54:20,000 --> 00:54:24,879 Speaker 1: be your journey through Americana. Wow, tomato soupcake. Well, shout 1015 00:54:24,880 --> 00:54:28,640 Speaker 1: out to you, Dorcas, Dorcass or Dorca whatever it is. 1016 00:54:28,640 --> 00:54:32,080 Speaker 1: Isn't there a stereotype that like white families have terrible 1017 00:54:32,280 --> 00:54:36,160 Speaker 1: like tasting food. Yes, there is right, absolutely, Hi have 1018 00:54:36,280 --> 00:54:42,560 Speaker 1: you just seen Twitter? Unseasoned? Is the time? I feel 1019 00:54:42,600 --> 00:54:46,759 Speaker 1: like this is not helping the legacy of Dorcas. Yeah, 1020 00:54:46,800 --> 00:54:49,040 Speaker 1: but still, but if you're elevating a cake with a 1021 00:54:49,080 --> 00:54:51,920 Speaker 1: can of tomato soup, that sounds like probably doubt it 1022 00:54:51,960 --> 00:54:55,080 Speaker 1: tastes terrible streams. I think it's a really interesting idea, 1023 00:54:55,120 --> 00:54:56,959 Speaker 1: and I think it's also you have to think about 1024 00:54:57,000 --> 00:55:00,239 Speaker 1: context because this truly was an era. We're all the 1025 00:55:00,239 --> 00:55:04,480 Speaker 1: weapons manufacturers switched to food and we need to sell product. 1026 00:55:04,600 --> 00:55:07,920 Speaker 1: We have to push this so hard. All these recipes 1027 00:55:08,040 --> 00:55:13,879 Speaker 1: come from the manufacturers. We'll tell you through your intestines. R. Yeah, 1028 00:55:14,680 --> 00:55:17,680 Speaker 1: that's interesting. I didn't know that about the factories. I 1029 00:55:17,719 --> 00:55:18,839 Speaker 1: like how when I brought it up, You're like, oh, 1030 00:55:18,840 --> 00:55:21,120 Speaker 1: do you really want to go there? And I was like, yeah, 1031 00:55:21,280 --> 00:55:22,560 Speaker 1: but I guess we will when we get on Mike, 1032 00:55:22,640 --> 00:55:26,120 Speaker 1: And then you just were like, yeah, you're eating. Yes, 1033 00:55:27,800 --> 00:55:29,840 Speaker 1: let me take a couple of steps back. Uh, this 1034 00:55:29,880 --> 00:55:37,000 Speaker 1: guy ate off Hitler. Yeah, all right, that's gonna do it. 1035 00:55:37,160 --> 00:55:41,279 Speaker 1: For this week's Weekly Zeitgeist, Please like and review the 1036 00:55:41,320 --> 00:55:45,520 Speaker 1: show if you like the show. Uh means the world 1037 00:55:45,520 --> 00:55:49,960 Speaker 1: to Miles. He needs your validation, folks. I hope you're 1038 00:55:50,200 --> 00:55:53,560 Speaker 1: having a great weekend and I will talk to him Monday. 1039 00:55:53,560 --> 00:56:12,600 Speaker 1: By Sa