1 00:00:00,160 --> 00:00:03,120 Speaker 1: Hello the Internet, and welcome to season sixty four, Episode 2 00:00:03,120 --> 00:00:06,520 Speaker 1: four of the Daily Zeitgeist podcast, where we take a 3 00:00:06,519 --> 00:00:09,280 Speaker 1: deep dive into America's share consciousness using the headlines, box 4 00:00:09,280 --> 00:00:12,960 Speaker 1: office reports, TV ratings, what's trending on Googles, and so 5 00:00:13,039 --> 00:00:17,160 Speaker 1: she meets. It's Thursday, January two thousand nine. Team. My 6 00:00:17,239 --> 00:00:25,320 Speaker 1: name is Jack O'Brien. A k oh, we're wolves O'Brien. Oh, 7 00:00:25,320 --> 00:00:27,960 Speaker 1: that's Curtsy of Annasultis, and I'm thrilled to be joined 8 00:00:28,000 --> 00:00:31,160 Speaker 1: as always by my co host, Mr Miles grind That's right, 9 00:00:31,160 --> 00:00:33,320 Speaker 1: it's Miles Gray. A K. Grays of our Lives a 10 00:00:33,479 --> 00:00:35,680 Speaker 1: K A as the world burns, a K all my 11 00:00:35,800 --> 00:00:39,120 Speaker 1: children a k A guiding Zite. Thank you too, Randy, 12 00:00:39,159 --> 00:00:43,760 Speaker 1: Travis Scott ak, Chrispy mean going at a K what's other? Christie, 13 00:00:43,760 --> 00:00:46,960 Speaker 1: I'm a gucci may also ak fires of our bombing 14 00:00:46,960 --> 00:00:50,479 Speaker 1: of dresident on Reddit for that a K A uh 15 00:00:50,760 --> 00:00:54,840 Speaker 1: just string together of great soap operas and I was 16 00:00:55,200 --> 00:00:58,680 Speaker 1: mostly days of our Raise of our Lives. Yeah, yeah, 17 00:00:58,840 --> 00:01:02,480 Speaker 1: I'm sur president. Go into their social security number. You 18 00:01:02,520 --> 00:01:05,240 Speaker 1: had them like matched all across all the different meeting. 19 00:01:05,280 --> 00:01:08,600 Speaker 1: Oh yeah, you know, I I stalk every everything that's 20 00:01:08,600 --> 00:01:12,160 Speaker 1: written about us on every platform, because I'm insecure and 21 00:01:12,200 --> 00:01:14,120 Speaker 1: I have too much time, and I have no idea 22 00:01:14,200 --> 00:01:16,960 Speaker 1: what anyone has said about me. If you don't at me, 23 00:01:17,440 --> 00:01:20,160 Speaker 1: which I suggest, you know, and then Anna or Nick 24 00:01:20,240 --> 00:01:21,960 Speaker 1: will then promptly play you don't know. You see what 25 00:01:21,959 --> 00:01:25,520 Speaker 1: they're saying about cheroot. Yeah you want to dress this? Yeah? No, 26 00:01:25,760 --> 00:01:29,160 Speaker 1: I see, I do see all the haircut stuff, search 27 00:01:29,280 --> 00:01:31,039 Speaker 1: that out. What do they think? And then we have 28 00:01:31,080 --> 00:01:35,520 Speaker 1: a meeting where we have to tell Jack how Yeah 29 00:01:35,520 --> 00:01:38,120 Speaker 1: it looks great, dude, I don't know what the jercub 30 00:01:38,160 --> 00:01:43,600 Speaker 1: meeting ercom meeting now ship Jack out a haircut? Oh no, 31 00:01:44,520 --> 00:01:48,680 Speaker 1: uh well, we're thrilled to have somebody who is a 32 00:01:48,840 --> 00:01:52,080 Speaker 1: veteran of my haircut meetings from back in our time 33 00:01:52,120 --> 00:01:58,480 Speaker 1: at crack. Hilarious writer and comedian Carmen Angelica. Hi, Hello, Hello, 34 00:01:58,560 --> 00:02:01,200 Speaker 1: I'm really glad to know that the haircut eating second. Yeah, 35 00:02:01,680 --> 00:02:06,200 Speaker 1: what were they like? You know? Yeah? It was a 36 00:02:06,240 --> 00:02:08,120 Speaker 1: lot of it was weird. He'd be like, tell me 37 00:02:08,160 --> 00:02:09,639 Speaker 1: my hair cut is good, but you have to fight me. 38 00:02:09,680 --> 00:02:14,080 Speaker 1: Whon't you do it? And then we'd fight him, you know, 39 00:02:13,960 --> 00:02:16,280 Speaker 1: you know how it is? Yeah, yeah, we don't fight 40 00:02:16,320 --> 00:02:18,360 Speaker 1: as much. What he does is he puts like a 41 00:02:18,440 --> 00:02:20,880 Speaker 1: buzz cutter to his hair, goes, I'll fucking do it 42 00:02:21,120 --> 00:02:25,680 Speaker 1: like whoa, whoa, whoa. No, it's still He's like, I'll 43 00:02:25,720 --> 00:02:29,959 Speaker 1: fucking burn the forest down. Let's calm down. It looks 44 00:02:29,960 --> 00:02:31,880 Speaker 1: really cool. Look you look just like this picture of 45 00:02:31,919 --> 00:02:36,440 Speaker 1: David Beckham from I Wish. Anyways, Carmen, we're going to 46 00:02:36,520 --> 00:02:38,120 Speaker 1: get to know you a little bit better in a moment, 47 00:02:38,160 --> 00:02:40,680 Speaker 1: but first we're going to tell our listeners a couple 48 00:02:40,760 --> 00:02:45,600 Speaker 1: of things we're talking about today. We're talking about woodstock fifty. Yeah, 49 00:02:45,720 --> 00:02:49,799 Speaker 1: that is a thing that is happening. We're going to 50 00:02:49,880 --> 00:02:53,200 Speaker 1: talk about collusion bra as Myles wrote the headline, it's 51 00:02:53,200 --> 00:02:55,760 Speaker 1: a real thing. It's a real thing. Also, we're also 52 00:02:55,840 --> 00:02:59,359 Speaker 1: going to talk about the President addressing the nation two 53 00:02:59,440 --> 00:03:03,399 Speaker 1: nights ago, and just the idea that he might declare 54 00:03:03,680 --> 00:03:06,320 Speaker 1: a state of emergency, just the fact that that's being 55 00:03:06,880 --> 00:03:11,440 Speaker 1: openly discussed as a possibility, that to state of emergency. Yeah, 56 00:03:11,680 --> 00:03:15,040 Speaker 1: Miles is wearing a Berk sweatshirt today. I love Yerk. 57 00:03:15,720 --> 00:03:18,600 Speaker 1: All about the Berk. And we're also going to talk 58 00:03:18,600 --> 00:03:21,440 Speaker 1: about some of the talking points, like the idea that 59 00:03:21,680 --> 00:03:25,040 Speaker 1: a border wall would protect us from the evil scourge 60 00:03:25,160 --> 00:03:28,400 Speaker 1: of drugs. But first, Carmen, we like to ask our guest, 61 00:03:28,520 --> 00:03:30,840 Speaker 1: what is something from your search history that is revealing 62 00:03:30,840 --> 00:03:32,880 Speaker 1: about who you are? Okay, I looked it up and 63 00:03:32,919 --> 00:03:36,480 Speaker 1: the last thing that I searched on my phone was 64 00:03:36,800 --> 00:03:41,840 Speaker 1: what goes with navy blue? Oh? What is the answer? Um? 65 00:03:41,920 --> 00:03:48,560 Speaker 1: The answer is yellow, gray, red, and pink white and 66 00:03:48,600 --> 00:03:51,280 Speaker 1: everything that's not black. And then they had black in there, 67 00:03:51,360 --> 00:03:53,600 Speaker 1: and I was like, this is broken everything that I 68 00:03:53,640 --> 00:03:56,040 Speaker 1: was taught as a child. But I also realized what 69 00:03:56,080 --> 00:03:58,560 Speaker 1: I've been taught as a child. I mean, my family 70 00:03:58,680 --> 00:04:02,120 Speaker 1: was very like function over fact and right. So like 71 00:04:02,600 --> 00:04:04,480 Speaker 1: now the fact that I'm trying to be like, Okay, 72 00:04:04,520 --> 00:04:07,440 Speaker 1: I have to put an outfit together, I'm getting like 73 00:04:07,520 --> 00:04:09,320 Speaker 1: teased for it, and I don't know the rules, And 74 00:04:09,360 --> 00:04:11,720 Speaker 1: so I look that up, Like who told you can't 75 00:04:11,720 --> 00:04:17,160 Speaker 1: wear a Fannie pack with cargo shorts? But so there's 76 00:04:17,240 --> 00:04:20,080 Speaker 1: so many pockets? Oh, and how do they carry their 77 00:04:20,120 --> 00:04:25,200 Speaker 1: asthma medication? I am told by my wife that I 78 00:04:25,240 --> 00:04:27,680 Speaker 1: am not allowed to wear black with navy blue, but 79 00:04:27,839 --> 00:04:31,920 Speaker 1: she is because she like knows how it works. But 80 00:04:32,000 --> 00:04:34,640 Speaker 1: like how would you suck it up that she would 81 00:04:34,720 --> 00:04:37,080 Speaker 1: do better? I'm sure i'd suck it up, like black 82 00:04:37,160 --> 00:04:40,600 Speaker 1: jeans with like a navy blue sweatshirt or something. That's fine. 83 00:04:40,800 --> 00:04:44,159 Speaker 1: All right, talk to her looks, you know, and sign 84 00:04:44,240 --> 00:04:49,520 Speaker 1: my ye, sign my petition for letting me dress myself. 85 00:04:49,560 --> 00:04:56,480 Speaker 1: I thought you were about say permissions, and I was like, nice, okay, y, well, yeah, 86 00:04:56,600 --> 00:04:59,280 Speaker 1: no I have heard that. So is there anything that 87 00:04:59,360 --> 00:05:01,839 Speaker 1: navy blue does not go with? It didn't say what 88 00:05:01,960 --> 00:05:04,400 Speaker 1: it didn't go with, but I assume anything that was 89 00:05:04,480 --> 00:05:07,360 Speaker 1: not on the list was not army green. Yeah, I 90 00:05:07,360 --> 00:05:10,200 Speaker 1: imagine army green. It's just like things that like it 91 00:05:10,240 --> 00:05:17,240 Speaker 1: looks best with. Yes, I like Notre Dame. Ye there 92 00:05:17,279 --> 00:05:19,960 Speaker 1: it is my high school. What is something you think 93 00:05:20,040 --> 00:05:23,200 Speaker 1: is underrated? Karmen? I actually think taking walks is underrated, 94 00:05:23,320 --> 00:05:26,120 Speaker 1: Like not just like walking somewhere to get somewhere, but 95 00:05:26,240 --> 00:05:29,599 Speaker 1: just like taking a walk. I think, not like and 96 00:05:29,680 --> 00:05:31,960 Speaker 1: not like the let me take lung walks on the beach, 97 00:05:32,000 --> 00:05:33,880 Speaker 1: but like getting out of like I like to take 98 00:05:33,880 --> 00:05:37,240 Speaker 1: walks when well, like when I was pet sitting, I 99 00:05:37,360 --> 00:05:41,279 Speaker 1: took walks around your neighborhood. She's up, yes, Karmen, was 100 00:05:41,360 --> 00:05:43,760 Speaker 1: watching some of our pets when I was in Japan. 101 00:05:43,960 --> 00:05:45,520 Speaker 1: Shout about to you, Karmen, thank you, thank you for 102 00:05:45,560 --> 00:05:47,200 Speaker 1: walking the neighborhood. What do you think of the neighborhood? 103 00:05:47,279 --> 00:05:51,320 Speaker 1: I like, I liked it. There were some Hamburger stands, 104 00:05:51,360 --> 00:05:55,839 Speaker 1: which I enjoyed looking at. There were some coffee shops, um. 105 00:05:55,880 --> 00:05:58,200 Speaker 1: But yeah, I like just taking a walk. I think 106 00:05:58,279 --> 00:06:00,880 Speaker 1: it's underrated and it like gets you out of the 107 00:06:00,920 --> 00:06:03,240 Speaker 1: house and out of your head and people like I 108 00:06:03,279 --> 00:06:04,960 Speaker 1: had friend recently who was like, I was like, hey, 109 00:06:05,040 --> 00:06:06,560 Speaker 1: let's hang out, let's get a drink, and she was like, 110 00:06:06,880 --> 00:06:09,200 Speaker 1: how about we like take a walk, and I was like, 111 00:06:10,000 --> 00:06:14,719 Speaker 1: this is why we're friends. So I think walks are 112 00:06:14,800 --> 00:06:18,880 Speaker 1: underrated and they're free. Oh yeah, the best broke person date. Yes, 113 00:06:19,080 --> 00:06:21,599 Speaker 1: You're like, yeah, let's take a walk, and it's like, yeah, 114 00:06:22,440 --> 00:06:23,919 Speaker 1: like I just want to get to know your neighborhood. 115 00:06:24,080 --> 00:06:26,200 Speaker 1: And I'm like, I have five dollars. I don't even 116 00:06:26,200 --> 00:06:28,240 Speaker 1: care if it's because you're broke, Like I'm into it, 117 00:06:28,320 --> 00:06:30,200 Speaker 1: like at least put that effort in. Also, I like 118 00:06:30,320 --> 00:06:33,680 Speaker 1: moving my feet, so yeah. Lacy was also saying this 119 00:06:33,720 --> 00:06:36,520 Speaker 1: when she just got back from Savannahs She's saying, like 120 00:06:36,680 --> 00:06:39,440 Speaker 1: how how underrated walks are too, just in general, like 121 00:06:39,520 --> 00:06:42,480 Speaker 1: just they there's something about taking a good walk, you know, 122 00:06:42,960 --> 00:06:44,920 Speaker 1: well l A, but l A is also tricky too 123 00:06:44,920 --> 00:06:47,800 Speaker 1: because some places are like can be distracting when you walk, 124 00:06:47,839 --> 00:06:49,960 Speaker 1: because all the traffic and things like that. Yes, but 125 00:06:50,000 --> 00:06:51,680 Speaker 1: if you can find yourself, you know, there's always a 126 00:06:51,680 --> 00:06:54,600 Speaker 1: little place of I even just like walk sometimes because 127 00:06:54,600 --> 00:06:57,160 Speaker 1: I'll be you know, in neighborhoods that like there's a 128 00:06:57,279 --> 00:06:59,600 Speaker 1: there's a highway and I can't walk right, so I'll 129 00:06:59,600 --> 00:07:01,800 Speaker 1: just find one little place and I'll even just like 130 00:07:01,880 --> 00:07:05,880 Speaker 1: walk in a little circle, yeah, until the cops come. 131 00:07:05,920 --> 00:07:07,479 Speaker 1: And then I'm like and then I'm like, take a 132 00:07:07,480 --> 00:07:09,520 Speaker 1: walk with me. And then they start walking like no, 133 00:07:09,520 --> 00:07:11,240 Speaker 1: no, no no, take a walk with us, And I'm like, 134 00:07:11,800 --> 00:07:13,960 Speaker 1: you know a good place, let's do this. It's called 135 00:07:13,960 --> 00:07:16,000 Speaker 1: central booking. And then we all go for a walk 136 00:07:16,040 --> 00:07:21,239 Speaker 1: and it's so fun. Many experiments have shown that after 137 00:07:21,440 --> 00:07:25,000 Speaker 1: or during exercise, even mild exertion, people perform better on 138 00:07:25,040 --> 00:07:29,000 Speaker 1: tests of memory attention. It creates new connections between brain 139 00:07:29,040 --> 00:07:32,640 Speaker 1: cell staves off the usual withering of brain tissue, and 140 00:07:32,840 --> 00:07:35,360 Speaker 1: increase the volume of the hippocampus. I was just about 141 00:07:35,400 --> 00:07:37,800 Speaker 1: to say I felt less weathered in my brain. Yeah, 142 00:07:38,360 --> 00:07:41,720 Speaker 1: you look less weathered than your brain. I mean, listen, 143 00:07:41,760 --> 00:07:43,120 Speaker 1: some people are like, did you get work done on 144 00:07:43,160 --> 00:07:46,320 Speaker 1: your brain? And they're like, no, I'm just well hydrated 145 00:07:46,320 --> 00:07:50,520 Speaker 1: and walking. Your brain is glowing. Stop thank you, but 146 00:07:50,680 --> 00:07:53,240 Speaker 1: stopped like thank you? What if something do you think 147 00:07:53,320 --> 00:07:55,760 Speaker 1: is overrated? Um? I would have to say, I think 148 00:07:55,840 --> 00:07:59,080 Speaker 1: toast is overrated. I'm sorry. I know it's a real 149 00:07:59,320 --> 00:08:01,480 Speaker 1: I know. I know. If I had known you were 150 00:08:01,480 --> 00:08:03,480 Speaker 1: going to come in with this kind of bullshit, I'm 151 00:08:03,520 --> 00:08:06,880 Speaker 1: coming in hot. I think toast is overrated. And here's 152 00:08:06,920 --> 00:08:09,440 Speaker 1: my argument for why toast has been around for a 153 00:08:09,440 --> 00:08:11,120 Speaker 1: long time. Don't get me wrong, I love a good toast, 154 00:08:11,200 --> 00:08:15,240 Speaker 1: especially in a cold morning when you but I think 155 00:08:15,240 --> 00:08:18,440 Speaker 1: it's overrated. I think restaurants are like charging like nine 156 00:08:18,480 --> 00:08:22,400 Speaker 1: dollars for it, and like people are just about not 157 00:08:22,480 --> 00:08:24,680 Speaker 1: just avocado toast all the toasts. Like people will be 158 00:08:24,720 --> 00:08:28,160 Speaker 1: like there are now toasts where it's like, oh, here's 159 00:08:28,160 --> 00:08:31,520 Speaker 1: a here's a little toasty here, like and they're like layer, 160 00:08:31,560 --> 00:08:35,640 Speaker 1: it's essentially an open face sandwich. Uh, but it's got 161 00:08:35,679 --> 00:08:38,800 Speaker 1: toast under it. And so people are charging exorbitant amounts, 162 00:08:38,840 --> 00:08:41,120 Speaker 1: and then people are like talking about how fancy their 163 00:08:41,120 --> 00:08:44,280 Speaker 1: toasts are. And for a while, I was all about 164 00:08:44,320 --> 00:08:46,280 Speaker 1: the toast, and now it's getting a little bit like 165 00:08:46,320 --> 00:08:48,680 Speaker 1: can we stop acting like we're fancy? For if there's 166 00:08:48,679 --> 00:08:50,480 Speaker 1: like some kind of thing, you like a spread at 167 00:08:50,520 --> 00:08:53,720 Speaker 1: a restaurant, they'll be like with fine toast points or whatever, 168 00:08:54,040 --> 00:08:56,120 Speaker 1: and then when you want more, they're like, oh, that's 169 00:08:56,160 --> 00:09:00,360 Speaker 1: five bucks. I'm like, motherfucker, you really fucking toast. And 170 00:09:00,440 --> 00:09:02,680 Speaker 1: I think at one point I was all about toast, 171 00:09:02,720 --> 00:09:04,240 Speaker 1: Like I think maybe I even came I love if 172 00:09:04,280 --> 00:09:05,680 Speaker 1: I came onto the show and I was like, toast 173 00:09:05,720 --> 00:09:08,439 Speaker 1: is great, That's my underrated thing. But like now I've 174 00:09:08,520 --> 00:09:11,000 Speaker 1: changed my mind, and that's life and life changes. But 175 00:09:11,120 --> 00:09:13,520 Speaker 1: toast I'm done with. I mean, I like it, I'll 176 00:09:13,520 --> 00:09:15,880 Speaker 1: eat it, but I don't want like I'm tired of 177 00:09:15,920 --> 00:09:19,360 Speaker 1: like us, we're making it too big of a thing. Yeah, 178 00:09:19,760 --> 00:09:23,160 Speaker 1: we gotta fight big toast Quiznos and entire business model 179 00:09:23,600 --> 00:09:26,000 Speaker 1: was what if we put it in a toaster? Right? 180 00:09:26,120 --> 00:09:29,559 Speaker 1: And then it worked for like seven years and where 181 00:09:29,600 --> 00:09:31,800 Speaker 1: people got for seven years, and then the subway was like, oh, 182 00:09:31,880 --> 00:09:35,600 Speaker 1: what if we put it in a toaster. Christos went 183 00:09:35,640 --> 00:09:40,000 Speaker 1: out of business next year. God damn it figured us out. 184 00:09:41,840 --> 00:09:43,880 Speaker 1: I do agree to a certain extent. It drives the 185 00:09:43,920 --> 00:09:46,120 Speaker 1: ship out. And like, you know, nothing is better than 186 00:09:46,160 --> 00:09:49,199 Speaker 1: like a crusty, warm bread that just came out of 187 00:09:49,200 --> 00:09:51,200 Speaker 1: the oven. And I feel like toasted maybe a poor 188 00:09:51,240 --> 00:09:53,679 Speaker 1: man's approximation of that, oh, just to give it a 189 00:09:53,720 --> 00:09:57,360 Speaker 1: little heat some more, yeah, sometimes, but not the active toast. 190 00:09:57,480 --> 00:09:59,679 Speaker 1: It's the fact that people are like one single toast 191 00:09:59,760 --> 00:10:02,400 Speaker 1: under a pile of stuff. Like you number when you're 192 00:10:02,440 --> 00:10:04,280 Speaker 1: cheating yourself with bread, you're saying toast is like an 193 00:10:04,440 --> 00:10:07,440 Speaker 1: ingredient to a dish in a restaurant, versus the concept 194 00:10:07,440 --> 00:10:09,480 Speaker 1: of toasting bread. I think the concept of toasting bread 195 00:10:09,520 --> 00:10:11,960 Speaker 1: I've never a post to because you know what, don't 196 00:10:11,960 --> 00:10:13,920 Speaker 1: try to sell me on the toast exactly, but like 197 00:10:13,960 --> 00:10:15,920 Speaker 1: if you and then if it's also acting like it's 198 00:10:15,960 --> 00:10:20,319 Speaker 1: like such a glamorous thing, and like can we stop, 199 00:10:20,480 --> 00:10:23,200 Speaker 1: like we can love our toast, but like let's not 200 00:10:23,280 --> 00:10:25,480 Speaker 1: be too over dramatic. That's what the whole like the 201 00:10:25,480 --> 00:10:28,120 Speaker 1: new you know, the high gourmet game is just to 202 00:10:28,120 --> 00:10:30,960 Speaker 1: add adjectives in front of regular as words like toasted 203 00:10:31,080 --> 00:10:35,160 Speaker 1: bread with cracked black pepper, Like you mean bread with 204 00:10:35,200 --> 00:10:40,640 Speaker 1: pepper salt. You're like, okay, so you just said bread 205 00:10:40,640 --> 00:10:45,120 Speaker 1: salt and okay, forget it. Yeah, I've been using the 206 00:10:45,120 --> 00:10:48,200 Speaker 1: grilled cheese method on all sandwiches, just like putting a 207 00:10:48,200 --> 00:10:50,320 Speaker 1: little butter on it and filling it in the pan 208 00:10:50,600 --> 00:10:54,360 Speaker 1: with a little cheese on top, and that ship is good. 209 00:10:54,360 --> 00:10:56,680 Speaker 1: But what do you mean the grilled cheese method? Just 210 00:10:56,880 --> 00:10:59,400 Speaker 1: like how you prepare grilled cheese in a pan with 211 00:11:00,000 --> 00:11:03,080 Speaker 1: better on the outside. No mayonnaise, man, oh, I don't don't. 212 00:11:03,120 --> 00:11:04,720 Speaker 1: That's how you get whoa, that's how you get that 213 00:11:04,800 --> 00:11:08,080 Speaker 1: gold crust though. That's the secret. People don't realize. I'm seriously, 214 00:11:08,200 --> 00:11:10,600 Speaker 1: I've done it, yea for those like those grilled cheeses. 215 00:11:10,760 --> 00:11:12,400 Speaker 1: You put a little mayonnaise on the outside. You don't 216 00:11:12,400 --> 00:11:15,560 Speaker 1: even taste it though, because it's all fat anyway. It's 217 00:11:15,720 --> 00:11:21,520 Speaker 1: whatever your preferred method fat yeah manaise. Yeah, I've been 218 00:11:21,520 --> 00:11:24,480 Speaker 1: doing that instead of toasting the bread on my sandwich. So, Carmen, 219 00:11:24,559 --> 00:11:27,920 Speaker 1: it sounds like you're just a moderate uh you know, 220 00:11:28,040 --> 00:11:31,280 Speaker 1: respect the toast, but don't go overboard. And I'm hardline 221 00:11:31,320 --> 00:11:34,480 Speaker 1: anti toast and you're like, whoa, whoa, what, don't draw 222 00:11:34,559 --> 00:11:36,680 Speaker 1: me in with your anti type. I mean it's okay, 223 00:11:36,840 --> 00:11:40,480 Speaker 1: I understand the frustration. I'm at that point frustration. Yeah, 224 00:11:40,720 --> 00:11:44,920 Speaker 1: the toasting, the toasting trend. Yeah. Also, I love quiz Nos. 225 00:11:45,000 --> 00:11:46,640 Speaker 1: I just remember, I love the thing. They had a 226 00:11:46,760 --> 00:11:49,120 Speaker 1: fad a prime rib and peppercorn sandwich that used to 227 00:11:49,200 --> 00:11:52,520 Speaker 1: get all the fucking time in college. And I probably 228 00:11:52,559 --> 00:11:54,760 Speaker 1: will have my coal and probably looks like a healthscape 229 00:11:54,840 --> 00:11:58,320 Speaker 1: right now. Yeah. And I think they went through some 230 00:11:58,480 --> 00:12:02,679 Speaker 1: tough months there in their last year once Subway figured 231 00:12:02,679 --> 00:12:05,760 Speaker 1: out the toasting thing, because I definitely had some low 232 00:12:05,840 --> 00:12:08,920 Speaker 1: quality quiz Nos towards. Yeah, exactly, like you could tell 233 00:12:09,000 --> 00:12:10,679 Speaker 1: like they fell off a cliff. Yeah, like you you 234 00:12:10,760 --> 00:12:12,520 Speaker 1: went in, You're like, oh, quiz was still finding Like 235 00:12:12,559 --> 00:12:15,559 Speaker 1: oh has it even gone trickled down to the employees. 236 00:12:15,600 --> 00:12:20,760 Speaker 1: It's like nothing matters anymore. Subway figured us out. Uh, 237 00:12:20,760 --> 00:12:22,760 Speaker 1: and Carmen, what's a myth? What something people think is 238 00:12:22,800 --> 00:12:25,600 Speaker 1: true you know to be false? All right? Uh, well, 239 00:12:25,600 --> 00:12:28,640 Speaker 1: this is bringing back an oldie for me. But I 240 00:12:28,679 --> 00:12:30,439 Speaker 1: did a lot of research so I know that it's 241 00:12:30,480 --> 00:12:33,360 Speaker 1: a myth. When people are like um, oh, if you 242 00:12:33,920 --> 00:12:36,880 Speaker 1: picking up a penny is like good luck, not well 243 00:12:36,880 --> 00:12:39,360 Speaker 1: not good luck, but like I think it's like or 244 00:12:39,760 --> 00:12:41,720 Speaker 1: that it's like worth like that it's worth it, like 245 00:12:41,760 --> 00:12:43,800 Speaker 1: picking up a penny, it's worth the time. And I 246 00:12:43,920 --> 00:12:46,240 Speaker 1: found out that essentially pennies that we have nowadays are 247 00:12:46,320 --> 00:12:49,600 Speaker 1: essentially worthless. And then if we stopped making them, we 248 00:12:49,640 --> 00:12:53,600 Speaker 1: would actually, like it would save the country money, right 249 00:12:53,920 --> 00:12:55,680 Speaker 1: if we just did, if we just or like in 250 00:12:55,800 --> 00:12:58,040 Speaker 1: change in general, just a penny itself, like the penny 251 00:12:58,080 --> 00:13:00,800 Speaker 1: itself takes more to me, like actually more to I 252 00:13:00,840 --> 00:13:03,240 Speaker 1: did the whole thing about penny. If you you can 253 00:13:03,280 --> 00:13:07,280 Speaker 1: see it's probably still online, but it's essentially saying like, oh, 254 00:13:07,320 --> 00:13:09,720 Speaker 1: if we stopped making because the way we make pennies, 255 00:13:09,800 --> 00:13:12,719 Speaker 1: it's not it's like mainly made of zinc now and 256 00:13:12,760 --> 00:13:16,319 Speaker 1: originally it was made of copper, right, yeah, so it's 257 00:13:16,360 --> 00:13:21,200 Speaker 1: just not worth it. So wheat penny penny, Yeah, my 258 00:13:21,240 --> 00:13:23,320 Speaker 1: grandpa always told me, like you better pick up the wheatpenny. 259 00:13:23,760 --> 00:13:25,720 Speaker 1: What are wheat penny that has like the little wheat 260 00:13:25,800 --> 00:13:28,600 Speaker 1: on the outside. Well, the older the penny, the more 261 00:13:28,640 --> 00:13:30,440 Speaker 1: it's worth. The older the penny, the more it's worth. 262 00:13:30,600 --> 00:13:33,760 Speaker 1: I mean obviously because antique, but also because it's made 263 00:13:33,840 --> 00:13:36,520 Speaker 1: with like valuable product. Yeah, you can melt that down 264 00:13:36,520 --> 00:13:39,360 Speaker 1: and make a whatever wiring. Whatever, you can make all 265 00:13:39,400 --> 00:13:41,240 Speaker 1: the wiring you want, and that's why you pick of 266 00:13:41,320 --> 00:13:44,320 Speaker 1: that penny. Yeah, and I mean I think we still 267 00:13:44,400 --> 00:13:47,640 Speaker 1: have sayings left over like penny pinching and things like 268 00:13:47,679 --> 00:13:52,280 Speaker 1: that that are like smart frugality type things and in actuality, 269 00:13:52,600 --> 00:13:54,840 Speaker 1: like that's just a dumb thing. You're wasting your time 270 00:13:54,840 --> 00:13:57,719 Speaker 1: on something that if even if you're saving pennies, you're 271 00:13:57,720 --> 00:14:00,600 Speaker 1: not gonna have enough money to do anything with. Yeah, 272 00:14:00,840 --> 00:14:03,400 Speaker 1: it's just they're not They don't make them like they 273 00:14:03,480 --> 00:14:10,520 Speaker 1: used to. America was great. Carmen is eight seven years old. 274 00:14:12,120 --> 00:14:15,120 Speaker 1: I'm just glad they brought me on about those parties 275 00:14:15,200 --> 00:14:19,560 Speaker 1: used to have with Elizabeth Katie standing well, speaking of 276 00:14:19,680 --> 00:14:23,840 Speaker 1: things that were awesome back in my day. Woodstock fifty, 277 00:14:24,200 --> 00:14:28,000 Speaker 1: we're coming up on the fifty year anniversary and as 278 00:14:28,560 --> 00:14:33,240 Speaker 1: an elder millennial and Miles YouTube can remember when the 279 00:14:33,320 --> 00:14:36,040 Speaker 1: last time we revisited Woodstock as the last two times, 280 00:14:36,080 --> 00:14:39,040 Speaker 1: the last two times four, I had collapsed those into 281 00:14:39,160 --> 00:14:46,200 Speaker 1: a single bad experience, like fine, okay, was the one 282 00:14:46,200 --> 00:14:49,600 Speaker 1: where like there was like bad like sex crimes happening 283 00:14:49,640 --> 00:14:52,480 Speaker 1: and people like vandalizing the fucking trucks and like all 284 00:14:52,480 --> 00:14:56,080 Speaker 1: the toilets went haywire, and like the Washington Post called 285 00:14:56,120 --> 00:14:59,280 Speaker 1: it a war zone in their right up of it. 286 00:15:00,280 --> 00:15:04,040 Speaker 1: They described it as a surreal war zone. But hey, man, 287 00:15:04,120 --> 00:15:07,160 Speaker 1: lip Biscuit they performed, I'm pretty sure Wootang performed at 288 00:15:07,240 --> 00:15:09,520 Speaker 1: ninety nine also, Yeah, and it was like I think 289 00:15:09,560 --> 00:15:12,680 Speaker 1: it was also like heavily branded as like pepsi, like 290 00:15:12,800 --> 00:15:16,880 Speaker 1: pepsi wood stock to what the original woodstock was all about, Yeah, exactly, 291 00:15:17,120 --> 00:15:20,800 Speaker 1: but they're bringing it was not all about pepsi, but 292 00:15:20,840 --> 00:15:23,120 Speaker 1: it was all about it was created by Madison Avenue 293 00:15:23,160 --> 00:15:28,480 Speaker 1: people Generation Works. So how far along are they? I mean, 294 00:15:28,600 --> 00:15:34,640 Speaker 1: they're saying it's happening August. See it's confirmed. The co creator, 295 00:15:34,920 --> 00:15:39,000 Speaker 1: Michael Lang says they have more than forty performers, including 296 00:15:39,120 --> 00:15:43,040 Speaker 1: big name headliners who have already signed on. And they say, oh, 297 00:15:43,040 --> 00:15:45,440 Speaker 1: it's not going to be at their original grounds in Bethel, 298 00:15:45,480 --> 00:15:47,920 Speaker 1: New York. It'll actually be in Watkins Glen because I 299 00:15:47,920 --> 00:15:49,920 Speaker 1: guess in the original venue they built like a fifteen 300 00:15:49,920 --> 00:15:53,680 Speaker 1: thousand seat little venue and they're like no, that ain't Woodstock, fam. 301 00:15:53,720 --> 00:15:55,920 Speaker 1: We need like a gigantic field to do this properly. 302 00:15:55,920 --> 00:15:58,680 Speaker 1: So it's going to be in Watkins Glen uh. And yeah, 303 00:15:58,720 --> 00:16:00,920 Speaker 1: like they say they're gonna have like hip hop pop 304 00:16:01,000 --> 00:16:05,040 Speaker 1: act some legacy bands from the original festival. Uh, but 305 00:16:05,120 --> 00:16:07,160 Speaker 1: they're not telling us who they have signed on the 306 00:16:07,960 --> 00:16:11,320 Speaker 1: big stars, like think about your favorite musician, like they're 307 00:16:11,440 --> 00:16:18,040 Speaker 1: they're there, so it's a little fire festival. Or like 308 00:16:18,160 --> 00:16:20,800 Speaker 1: in Wayne's World two when he's like lying to get 309 00:16:20,800 --> 00:16:22,320 Speaker 1: the permit, like who's gonna be there and he's like 310 00:16:22,840 --> 00:16:28,440 Speaker 1: Arrowsmith and uh whatever and he's like old man fashioning 311 00:16:28,440 --> 00:16:32,800 Speaker 1: a canoe out of a lot. But yeah, we'll see, 312 00:16:32,840 --> 00:16:35,320 Speaker 1: we'll see what happens. But I think they now they promise, like, look, 313 00:16:35,360 --> 00:16:37,840 Speaker 1: it's going to have better toilets. There's gonna be like 314 00:16:37,840 --> 00:16:40,560 Speaker 1: a little glamping vibe to like because they have to 315 00:16:40,600 --> 00:16:43,120 Speaker 1: compete with, you know, the Coachella's of the world. Because 316 00:16:43,120 --> 00:16:45,160 Speaker 1: if it's going to be like a destination thing, you 317 00:16:45,200 --> 00:16:48,640 Speaker 1: have to appeal to like affluent millennials or Instagram flexors 318 00:16:48,640 --> 00:16:50,680 Speaker 1: who just need who don't care about music, or just 319 00:16:50,840 --> 00:16:53,800 Speaker 1: like I operate on people's phoo if we want to 320 00:16:53,800 --> 00:16:57,880 Speaker 1: officially kill off the generation of baby boomers. We all 321 00:16:57,880 --> 00:17:00,400 Speaker 1: we have to do is just really Bill and the 322 00:17:00,440 --> 00:17:03,920 Speaker 1: fact that they're better toilets and less mud at the woodstock, 323 00:17:04,520 --> 00:17:07,280 Speaker 1: and that it's so much more lit than their woodstock 324 00:17:07,320 --> 00:17:10,919 Speaker 1: because of how much cleaner it is. Instagram photos are 325 00:17:10,960 --> 00:17:14,560 Speaker 1: just gonna be like toilets like these are ventilated. These 326 00:17:14,600 --> 00:17:19,119 Speaker 1: are like CITs. Let's talk collusion, Miles, Let's talk collusion, 327 00:17:19,720 --> 00:17:24,600 Speaker 1: because you know, after all the hoopla and hubbub around 328 00:17:24,800 --> 00:17:28,960 Speaker 1: the non Oval office speech that Trump gave a lot 329 00:17:29,000 --> 00:17:31,879 Speaker 1: of weird stuff happened. I think now we're at a 330 00:17:31,920 --> 00:17:34,160 Speaker 1: point with all the information that came out on Tuesday, 331 00:17:34,480 --> 00:17:38,560 Speaker 1: that collusion is no longer like, uh, you know, this abstract, 332 00:17:38,680 --> 00:17:42,960 Speaker 1: nebulous idea, and we're looking at real, like factual evidence 333 00:17:43,040 --> 00:17:47,240 Speaker 1: that people in Trump's orbit and camp were working with 334 00:17:47,760 --> 00:17:51,320 Speaker 1: Russian officials so while they were running his campus. So 335 00:17:51,640 --> 00:17:56,000 Speaker 1: the biggest one is Paul Manaford's idiotic lawyers. So if 336 00:17:56,000 --> 00:17:59,879 Speaker 1: you remember, Robert Mueller basically said that Paul Manafort vi 337 00:18:00,040 --> 00:18:02,680 Speaker 1: lated his plea agreement because he kept lying, and they're like, yo, 338 00:18:02,760 --> 00:18:05,480 Speaker 1: actually this dude should be sentenced like this this guy 339 00:18:05,600 --> 00:18:08,479 Speaker 1: is not cooperating, so I want a terrorist plea agreement. 340 00:18:08,920 --> 00:18:12,240 Speaker 1: So his lawyers were they submitted their response to that, 341 00:18:12,680 --> 00:18:16,560 Speaker 1: and they thought they redacted the sensitive parts. But because 342 00:18:17,160 --> 00:18:19,240 Speaker 1: as we've seen with Palm Manafort and like all this 343 00:18:19,280 --> 00:18:21,399 Speaker 1: ship that's gone down with him, they did not know 344 00:18:21,440 --> 00:18:23,560 Speaker 1: how to do that. So I think they just highlighted 345 00:18:23,600 --> 00:18:26,879 Speaker 1: text in black and submitted that. So people who just 346 00:18:27,240 --> 00:18:30,040 Speaker 1: did select all and copy and paste it into another dock, 347 00:18:30,119 --> 00:18:34,640 Speaker 1: we're like, oh, all the text. Uh. And so the 348 00:18:34,640 --> 00:18:39,280 Speaker 1: biggest things that we learned through this terrible redaction process 349 00:18:39,480 --> 00:18:43,640 Speaker 1: was that Palm Manafort was sharing polling data with an 350 00:18:43,720 --> 00:18:49,000 Speaker 1: indicted Russian spy, Constantine Columnic, and asked that Colminic would 351 00:18:49,000 --> 00:18:51,800 Speaker 1: pass that info onto the Russian oligarch and putin Homie 352 00:18:51,800 --> 00:18:55,040 Speaker 1: olig Derra Pasca, who if you remember. We also found 353 00:18:55,040 --> 00:18:58,240 Speaker 1: out Manafort was giving olig Derri Pasca like daily briefings 354 00:18:58,240 --> 00:19:00,480 Speaker 1: about the campaign for whatever reason, because he had to 355 00:19:00,760 --> 00:19:02,840 Speaker 1: get you know, like he had to make up for 356 00:19:02,880 --> 00:19:06,160 Speaker 1: some swindling he did to him back in Ukraine. And 357 00:19:06,200 --> 00:19:09,199 Speaker 1: we also learned that Manaford talked a lot about this 358 00:19:09,320 --> 00:19:13,520 Speaker 1: quote piece plan for Ukraine with Colimnic, which is really 359 00:19:13,560 --> 00:19:15,720 Speaker 1: just all these piece plans that we've seen talked about, 360 00:19:15,720 --> 00:19:18,879 Speaker 1: whether it's with Manaford or Jared Kushner, Donald Trump Jr. 361 00:19:19,000 --> 00:19:21,840 Speaker 1: It always just means lifting sanctions on Russia. And then 362 00:19:21,880 --> 00:19:24,640 Speaker 1: also just led about additional meetings with Colimnic, like like 363 00:19:24,680 --> 00:19:27,520 Speaker 1: after he left the campaign around the world and things 364 00:19:27,560 --> 00:19:30,919 Speaker 1: like that. So this is basically we're looking at you know, 365 00:19:31,200 --> 00:19:33,720 Speaker 1: we're at a place where the campaign officials are sharing 366 00:19:33,760 --> 00:19:37,359 Speaker 1: information with people who have known ties to Russian intelligence, 367 00:19:37,400 --> 00:19:40,160 Speaker 1: which is a soft handed way of saying they're a spy. 368 00:19:40,240 --> 00:19:43,239 Speaker 1: So wait on the polling information. The information that they 369 00:19:43,240 --> 00:19:48,080 Speaker 1: were sharing is that that's obviously not uh, just you 370 00:19:48,080 --> 00:19:51,840 Speaker 1: know the latest AP poll. There's like public polling data, 371 00:19:51,840 --> 00:19:53,920 Speaker 1: and then there's internal polling data that they had to 372 00:19:54,680 --> 00:19:56,720 Speaker 1: that that they were sharing, so some was available but 373 00:19:56,760 --> 00:19:59,800 Speaker 1: others were not. Uh. And then when you kind of 374 00:20:00,040 --> 00:20:01,520 Speaker 1: when you sort of look at that with all the 375 00:20:01,600 --> 00:20:05,280 Speaker 1: facts like where the d n C hacked information that 376 00:20:05,440 --> 00:20:08,200 Speaker 1: the Russians had, if they're like looking at that side 377 00:20:08,200 --> 00:20:10,919 Speaker 1: by side with this other polling data. They mentioned that 378 00:20:11,000 --> 00:20:13,200 Speaker 1: like in the lead up to the final days of 379 00:20:13,240 --> 00:20:15,639 Speaker 1: the campaign, like they got a little noting like, hey, 380 00:20:15,680 --> 00:20:18,800 Speaker 1: you should focus on Wisconsin and Michigan, and like those 381 00:20:18,800 --> 00:20:23,280 Speaker 1: are really big states that delivered electoral College votes for Trump. Uh. 382 00:20:23,359 --> 00:20:26,760 Speaker 1: So you know, the water gets murkier and clearer at 383 00:20:26,760 --> 00:20:29,040 Speaker 1: the same time because now you're saying, oh wow, like 384 00:20:29,359 --> 00:20:31,640 Speaker 1: we're starting to see that here, here you go, here's 385 00:20:31,680 --> 00:20:33,760 Speaker 1: information you can use. Maybe you can help us with 386 00:20:33,800 --> 00:20:36,760 Speaker 1: these other things, because if you really look at the 387 00:20:36,840 --> 00:20:39,879 Speaker 1: Trump Tower Moscow deal, you know, we've mentioned that that 388 00:20:39,920 --> 00:20:42,399 Speaker 1: would have been the single biggest real estate deal of 389 00:20:42,480 --> 00:20:45,640 Speaker 1: anyone in the Trump orbit, like the biggest deal ever 390 00:20:45,760 --> 00:20:47,760 Speaker 1: for them. But the only way that could happen is 391 00:20:47,800 --> 00:20:51,160 Speaker 1: if they got bankrolled by some of these Russian sanctioned banks, 392 00:20:51,440 --> 00:20:53,040 Speaker 1: so they had to lift sanctions in order to get 393 00:20:53,040 --> 00:20:55,879 Speaker 1: funding for this tower. Like it's all very much connected 394 00:20:56,160 --> 00:20:58,679 Speaker 1: in different ways to this Trump Tower deal and and 395 00:20:58,880 --> 00:21:02,160 Speaker 1: mega mucho money. Right. But then also we found out 396 00:21:02,200 --> 00:21:06,119 Speaker 1: that Natalia vessel Nitskaya, who was that Russian lawyer woman 397 00:21:06,160 --> 00:21:08,240 Speaker 1: from the Trump Tower meeting when they're just like, oh, 398 00:21:08,280 --> 00:21:12,280 Speaker 1: we're just talking about baby adoptions, she was indicted under 399 00:21:12,320 --> 00:21:15,719 Speaker 1: a sealed indictment in December for obstructing justice and an 400 00:21:15,760 --> 00:21:20,040 Speaker 1: investigation separate to Mueller's but one unrelated to that. But 401 00:21:20,160 --> 00:21:23,480 Speaker 1: it was like a massive money laundering scheme where she 402 00:21:23,560 --> 00:21:26,399 Speaker 1: basically lied that she was essentially a straight up representative 403 00:21:26,400 --> 00:21:28,680 Speaker 1: of the Russian government. It's like, now I'm a lawyer 404 00:21:28,720 --> 00:21:30,880 Speaker 1: for these people, and they're like, no, no, no, you 405 00:21:31,200 --> 00:21:33,440 Speaker 1: you work for your You work for the Russian government, 406 00:21:33,640 --> 00:21:36,399 Speaker 1: and you like, you were able to produce documents that 407 00:21:36,440 --> 00:21:38,720 Speaker 1: helped your client because you work for the Russian document 408 00:21:38,760 --> 00:21:40,359 Speaker 1: and you just told your government what you needed for 409 00:21:40,400 --> 00:21:42,840 Speaker 1: this case. So that doesn't bode well for all the 410 00:21:42,920 --> 00:21:44,760 Speaker 1: dumb funks that are at the Trump Tower meeting be like, hey, 411 00:21:44,760 --> 00:21:46,240 Speaker 1: I just thought this was some random women want to 412 00:21:46,240 --> 00:21:48,040 Speaker 1: talk about adoptions. And they're like, no, you met with 413 00:21:48,640 --> 00:21:52,119 Speaker 1: representative of the Russian government. You are sending materials on 414 00:21:52,359 --> 00:21:55,520 Speaker 1: to people who are a part of the Russian intelligence apparatus. 415 00:21:55,760 --> 00:21:59,679 Speaker 1: And with regards to proprietary information surrounding the all this 416 00:22:00,119 --> 00:22:04,840 Speaker 1: hacking stuff, there's a huge like data leak where the 417 00:22:04,880 --> 00:22:09,080 Speaker 1: Clinton campaigns demographic information and all of their like strategy 418 00:22:09,119 --> 00:22:13,920 Speaker 1: around demographic stuff, like the Wisconsin stuff was basically hacked 419 00:22:14,320 --> 00:22:16,639 Speaker 1: by the Russians. I think, so it seems like this 420 00:22:17,000 --> 00:22:19,120 Speaker 1: could have easily been a two way street. There are 421 00:22:19,200 --> 00:22:21,600 Speaker 1: so many other things that are coming out. There's a story. 422 00:22:21,760 --> 00:22:23,600 Speaker 1: We could probably talk about this later, but like where 423 00:22:24,040 --> 00:22:27,480 Speaker 1: there was another Trump Tower meeting where the Saudis and 424 00:22:27,480 --> 00:22:30,359 Speaker 1: Emiratis were like offering a way to use social media 425 00:22:30,400 --> 00:22:33,840 Speaker 1: to help the campaign, but like the funding came through 426 00:22:33,840 --> 00:22:36,840 Speaker 1: this bizarre bidding war over a fake what some people 427 00:22:36,840 --> 00:22:39,959 Speaker 1: believe is a fake Da Vinci painting that Mohammad been 428 00:22:40,000 --> 00:22:43,439 Speaker 1: Salomon overpaid on by like two million dollars to this 429 00:22:43,520 --> 00:22:45,800 Speaker 1: Russian oligarch who was the owner of the painting. So 430 00:22:45,800 --> 00:22:49,240 Speaker 1: we're seeing that overpaying on ship is the hot new 431 00:22:49,280 --> 00:22:52,920 Speaker 1: way to launder money in Yeah, that's because that same 432 00:22:52,960 --> 00:22:55,199 Speaker 1: guy who sold the fake da Vinci or you know, 433 00:22:55,240 --> 00:22:58,359 Speaker 1: maybe it was painted by his assistant or whatever. He's 434 00:22:58,359 --> 00:23:01,000 Speaker 1: the same dude who like paid double for that weird 435 00:23:01,280 --> 00:23:04,760 Speaker 1: Florida property Trump had that Trump bought for forty one 436 00:23:04,800 --> 00:23:06,760 Speaker 1: million but then sold it to this guy for nine 437 00:23:07,200 --> 00:23:11,479 Speaker 1: million in two thousand eight when real estate has no value, 438 00:23:11,480 --> 00:23:13,160 Speaker 1: Like you know what I mean? I love that there's 439 00:23:13,280 --> 00:23:16,399 Speaker 1: probably one guy in the circle of whatever bidding who's 440 00:23:16,560 --> 00:23:22,600 Speaker 1: literally like why is everybody going so hard? Make any sense? 441 00:23:22,760 --> 00:23:26,479 Speaker 1: It's a fake. I was told it's only valued at 442 00:23:26,520 --> 00:23:31,560 Speaker 1: eighty million, started the bidding at one. Yeah, and that 443 00:23:31,840 --> 00:23:36,360 Speaker 1: house I really wouldn't like that house to seems wild. 444 00:23:37,280 --> 00:23:40,600 Speaker 1: So just to recap, because the president is, you know, 445 00:23:40,680 --> 00:23:43,960 Speaker 1: doing his typical dropping of smoke bombs to try and 446 00:23:44,000 --> 00:23:47,040 Speaker 1: distract with I think he is now saying he's going 447 00:23:47,080 --> 00:23:50,160 Speaker 1: to withhold emergency fronds from California the next time there's 448 00:23:50,200 --> 00:23:53,000 Speaker 1: a forest fire to get everybody to just be like 449 00:23:53,600 --> 00:23:55,560 Speaker 1: you Trump, I think. But more people are focused on 450 00:23:55,600 --> 00:23:57,840 Speaker 1: the fact that he doesn't have to spell forced. Of 451 00:23:57,880 --> 00:24:00,840 Speaker 1: course he doesn't sell like Forrest Gump. Guy needed spell 452 00:24:00,920 --> 00:24:03,399 Speaker 1: Check to tell me how to spell for us. So 453 00:24:03,400 --> 00:24:08,000 Speaker 1: I'm sure he can't spell that ship us. You've seen 454 00:24:08,240 --> 00:24:11,960 Speaker 1: how I spell ship on the stock before I like 455 00:24:12,040 --> 00:24:13,720 Speaker 1: sneakily go in there, like let me fix this one. 456 00:24:15,400 --> 00:24:18,280 Speaker 1: I'm unable to. I'm very reliant on spell check, much 457 00:24:18,320 --> 00:24:21,680 Speaker 1: like our president. But just to recap, the guy who 458 00:24:21,720 --> 00:24:26,440 Speaker 1: was running his campaign, Paul man of Fort, was giving 459 00:24:26,480 --> 00:24:32,359 Speaker 1: proprietary information to a Russian spy. Somebody who worked directly 460 00:24:32,400 --> 00:24:35,119 Speaker 1: for the Russian government was telling him to give it 461 00:24:35,160 --> 00:24:38,360 Speaker 1: to one of Putin's main guys. Oh, like Derik Posca 462 00:24:38,800 --> 00:24:44,520 Speaker 1: while the like heat of the collusion argument is in question. Yeah, 463 00:24:44,680 --> 00:24:47,480 Speaker 1: and also that guy constant In Kliminic was like also 464 00:24:47,920 --> 00:24:50,040 Speaker 1: high fiving himself because he was like, y'all got him 465 00:24:50,080 --> 00:24:52,280 Speaker 1: to take out all that like anti Russia language from 466 00:24:52,280 --> 00:24:56,440 Speaker 1: the Republican platform. Like there's a there's so many connective things. 467 00:24:56,440 --> 00:24:58,320 Speaker 1: I think if if you were if you just looked 468 00:24:58,359 --> 00:25:01,080 Speaker 1: at sort of these facts, everyone goes like, well, that's 469 00:25:01,080 --> 00:25:03,520 Speaker 1: not really I mean, how do we put it all together? 470 00:25:03,560 --> 00:25:05,560 Speaker 1: But when you start really putting it all together, and 471 00:25:05,600 --> 00:25:07,439 Speaker 1: a lot of journalists are really starting to put like 472 00:25:07,520 --> 00:25:11,520 Speaker 1: dates and things together, you're like, whoakay. But you know 473 00:25:11,680 --> 00:25:13,600 Speaker 1: again that's it was a nice tribe by Trump to 474 00:25:13,680 --> 00:25:16,840 Speaker 1: try and be like FEMA, no money for you, by 475 00:25:16,880 --> 00:25:20,840 Speaker 1: the way. And actually it looks like the New York 476 00:25:20,880 --> 00:25:23,480 Speaker 1: Times version of this story, which we're going off of, 477 00:25:23,640 --> 00:25:27,280 Speaker 1: is now issuing a correction. Major correction. Okay, So now 478 00:25:27,320 --> 00:25:31,679 Speaker 1: they're saying that Paul Menaphort wasn't offering the polling data 479 00:25:31,760 --> 00:25:39,360 Speaker 1: to Oleg Deripaska but to Ukrainian oligarchs who are Sarehi Leo, 480 00:25:39,800 --> 00:25:43,160 Speaker 1: which everybody's gonna of course and we're not and we're 481 00:25:43,160 --> 00:25:46,560 Speaker 1: not Akhmatov. I mean, that is a pretty big funk 482 00:25:46,680 --> 00:25:49,600 Speaker 1: up for the times when you consider just sort of 483 00:25:49,640 --> 00:25:51,280 Speaker 1: all the details. I think at the same time, when 484 00:25:51,320 --> 00:25:54,920 Speaker 1: you look at these two Ukrainian oligarchs, they're definitely they 485 00:25:54,960 --> 00:25:58,360 Speaker 1: were backers of Victor Yannakovich, which means they are already 486 00:25:58,440 --> 00:26:02,920 Speaker 1: Russia aligned aligarcs. Uh. And I think you know, when 487 00:26:02,920 --> 00:26:05,520 Speaker 1: you also still look at the information about Derra Posca 488 00:26:05,560 --> 00:26:08,959 Speaker 1: getting briefings, it still ties into this bigger idea that 489 00:26:09,000 --> 00:26:13,879 Speaker 1: Palm Manafort was trading information for either money because now, 490 00:26:14,359 --> 00:26:18,560 Speaker 1: like we're reading that these two oligarchs in Ukraine, he 491 00:26:18,640 --> 00:26:22,560 Speaker 1: was sharing this polling data for like he believed that 492 00:26:22,600 --> 00:26:25,800 Speaker 1: they owed him Paul Manafort money and giving them this 493 00:26:25,880 --> 00:26:29,480 Speaker 1: information would help him get paid ultimately got it. So 494 00:26:29,920 --> 00:26:32,960 Speaker 1: and it doesn't change the fact that he, while he 495 00:26:33,080 --> 00:26:39,200 Speaker 1: was heading up the Trump campaign, was giving Constantin Klimini, uh, 496 00:26:39,240 --> 00:26:43,680 Speaker 1: you know, proprietary or like you know, secret polling data 497 00:26:43,760 --> 00:26:46,400 Speaker 1: that they had, so they were they were in contact 498 00:26:46,440 --> 00:26:49,960 Speaker 1: and working together on the same goal. It would seem yeah, yeah, 499 00:26:50,000 --> 00:26:52,720 Speaker 1: but again, uh, you know, sorry to Ola Dera Pasca 500 00:26:52,800 --> 00:26:56,160 Speaker 1: for that small tidy. I mean that almost ruined, really 501 00:26:56,160 --> 00:27:00,280 Speaker 1: almost sullied his reputation. Also, we learned through that filand 502 00:27:00,320 --> 00:27:06,760 Speaker 1: that Palmanaphor has gout. Gout feels poetic to me. I 503 00:27:06,800 --> 00:27:10,720 Speaker 1: always associated gout with King Henry right, and a lot 504 00:27:10,760 --> 00:27:14,120 Speaker 1: of people do, like you know, like rich lifestyle wine 505 00:27:14,160 --> 00:27:16,880 Speaker 1: and cheese and red meat. But it's also like genetic 506 00:27:16,920 --> 00:27:20,960 Speaker 1: to like, so you know, I think if you're making science, yeah, 507 00:27:21,160 --> 00:27:23,359 Speaker 1: not making fun of the illness. But that was literally 508 00:27:23,359 --> 00:27:25,639 Speaker 1: where my brain went the minute that everyone's is like 509 00:27:25,680 --> 00:27:28,240 Speaker 1: it's the rich Man's disease, and I mean, I think 510 00:27:28,280 --> 00:27:31,520 Speaker 1: the conditions that bring it out, and like we all 511 00:27:31,600 --> 00:27:34,840 Speaker 1: might have a genetic predisposition to it, but we don't 512 00:27:34,840 --> 00:27:37,120 Speaker 1: get it as much anymore because most of us are 513 00:27:37,160 --> 00:27:41,560 Speaker 1: not being fed turkey legs in a you know, bed, 514 00:27:41,600 --> 00:27:44,040 Speaker 1: like in a horizontal position, wearing like wrapped up in 515 00:27:44,119 --> 00:27:48,240 Speaker 1: wild Ostrich jacket. I mean, I've been wearing Ostrich jackets. 516 00:27:48,280 --> 00:27:53,560 Speaker 1: But you know, I shouldn't have spoken for yet. All right, 517 00:27:53,600 --> 00:27:55,480 Speaker 1: we're going to take a quick break. We'll be right back, 518 00:28:05,520 --> 00:28:08,680 Speaker 1: and we're back. Let's talk about this wall, you guys. 519 00:28:08,800 --> 00:28:13,719 Speaker 1: I'm sure I love wall. Yes, Uh, it's like I 520 00:28:13,760 --> 00:28:16,560 Speaker 1: love lamb. Yeah, I just love wall though. So two 521 00:28:16,640 --> 00:28:21,560 Speaker 1: nights ago, the President interjected himself into our nightly TV viewing. 522 00:28:21,800 --> 00:28:24,399 Speaker 1: Not for me, not for Miles. I avoided it. How 523 00:28:24,440 --> 00:28:27,240 Speaker 1: do you do that? I watched the Lindsay Lohan Beast 524 00:28:27,240 --> 00:28:31,880 Speaker 1: Club Show and it's a mess. MTV knows where their priorities. Yeah, 525 00:28:31,880 --> 00:28:34,000 Speaker 1: in a way, I may have mentally fucked myself worse 526 00:28:34,080 --> 00:28:37,480 Speaker 1: by watching them watching the Oval Office thing, but that 527 00:28:37,600 --> 00:28:40,280 Speaker 1: is a mess too. So the President came on and 528 00:28:40,360 --> 00:28:45,000 Speaker 1: made a kind of kinder, gentler case for his monument 529 00:28:45,000 --> 00:28:48,120 Speaker 1: to racism. He was saying that this is about compassion, 530 00:28:48,880 --> 00:28:52,840 Speaker 1: and you know, he's using imagery of like holding the 531 00:28:52,920 --> 00:28:58,520 Speaker 1: hands of women and children at the border as painted 532 00:28:58,800 --> 00:29:02,160 Speaker 1: the families as people he protecting. Uh, and said that 533 00:29:02,280 --> 00:29:05,440 Speaker 1: he's willing to compromise with the Democrats, which none of 534 00:29:05,480 --> 00:29:09,640 Speaker 1: that is really accurate, but you know, Pelosi and Humor 535 00:29:09,720 --> 00:29:13,600 Speaker 1: then came on afterwards and seemed like they had prepared 536 00:29:13,720 --> 00:29:18,040 Speaker 1: to respond to the typical Trump, which is like having 537 00:29:18,080 --> 00:29:21,720 Speaker 1: an eight minute temper tantrum. And so conservatives are saying 538 00:29:21,760 --> 00:29:26,480 Speaker 1: Trump won DEM's zero in response to like how that went, 539 00:29:26,880 --> 00:29:31,480 Speaker 1: The media seems to be not as convinced the mainstream media. Well, 540 00:29:31,480 --> 00:29:33,080 Speaker 1: everyone was like, we knew this is gonna be a 541 00:29:33,120 --> 00:29:35,640 Speaker 1: bunch of lies from him. What's the point of airing 542 00:29:35,680 --> 00:29:37,800 Speaker 1: that when, like years before, they didn't want to er 543 00:29:37,880 --> 00:29:41,480 Speaker 1: Obama talking about DOCCA the whole other fucking thing, and 544 00:29:41,560 --> 00:29:45,120 Speaker 1: so let's talk about that. So this is something that presidents, 545 00:29:45,480 --> 00:29:48,640 Speaker 1: you know, use their power to do every once in 546 00:29:48,680 --> 00:29:53,640 Speaker 1: a while, and they almost always are given the latitude 547 00:29:53,680 --> 00:29:57,040 Speaker 1: by the networks to come on and address the nation, 548 00:29:57,240 --> 00:30:01,040 Speaker 1: right like, and usually it's done. I heard somebody put 549 00:30:01,080 --> 00:30:04,880 Speaker 1: it that usually the president is coming on to soothe 550 00:30:05,000 --> 00:30:09,280 Speaker 1: a scared nation or calm a scared nation, and this 551 00:30:09,360 --> 00:30:13,280 Speaker 1: time the president was using it to scare a calm nation. Right. 552 00:30:13,440 --> 00:30:17,080 Speaker 1: But there has been cases where the president tried to 553 00:30:17,120 --> 00:30:21,160 Speaker 1: do this and the networks were like, no, that's too partisan. 554 00:30:21,480 --> 00:30:27,040 Speaker 1: I guess was was their argument against Obama. Yes, that's wild. 555 00:30:27,280 --> 00:30:30,720 Speaker 1: I mean they just felt like, you didn't warrant the 556 00:30:30,840 --> 00:30:35,320 Speaker 1: nation's attention to talk about data, right. Um, yeah, because 557 00:30:36,640 --> 00:30:39,880 Speaker 1: I think it was just like some local affiliates did it, 558 00:30:39,960 --> 00:30:44,520 Speaker 1: but like on the national level. But I think just 559 00:30:44,560 --> 00:30:47,920 Speaker 1: because they know he's going to say some fucking wacky 560 00:30:48,000 --> 00:30:50,920 Speaker 1: shit that people tune in but like the odd part 561 00:30:50,960 --> 00:30:52,840 Speaker 1: is more people watch the rebuttal than they did even 562 00:30:52,840 --> 00:30:55,240 Speaker 1: the Oval Office address, right, So that's got to be 563 00:30:55,320 --> 00:30:58,640 Speaker 1: chapping his little diaper awareness. Yeah, I mean it was 564 00:30:58,640 --> 00:31:00,560 Speaker 1: like a four percent increase, and I'm sure it was 565 00:31:00,600 --> 00:31:04,560 Speaker 1: just people tuning in late right, um, like social media 566 00:31:04,840 --> 00:31:08,000 Speaker 1: and seeing that it was trending. Although like, I couldn't 567 00:31:08,040 --> 00:31:10,360 Speaker 1: think of two worst people to have do the rebuttal 568 00:31:10,440 --> 00:31:12,760 Speaker 1: talking about immigration or even though they were focusing on 569 00:31:12,800 --> 00:31:15,880 Speaker 1: other issues. But like you'll put some people who like, 570 00:31:16,680 --> 00:31:18,400 Speaker 1: I think you can speak with a little more passion 571 00:31:19,000 --> 00:31:21,640 Speaker 1: than like the two figureheads of the party. That was 572 00:31:21,680 --> 00:31:29,160 Speaker 1: like one thing I was like combined age of something. Yeah. Yeah, 573 00:31:29,560 --> 00:31:32,760 Speaker 1: they just seemed I don't know, it wasn't a wildly 574 00:31:32,800 --> 00:31:35,680 Speaker 1: effective rebuttal that said, it was two minutes long and 575 00:31:35,800 --> 00:31:38,560 Speaker 1: it's not like yeah, and also they rebuttal to what 576 00:31:38,840 --> 00:31:40,520 Speaker 1: you know anyway, Like it's just he was going to 577 00:31:40,600 --> 00:31:43,640 Speaker 1: do his thing, just fan the flames of xenophobia, but 578 00:31:43,760 --> 00:31:45,640 Speaker 1: put it under the guys of compassion. And a lot 579 00:31:45,640 --> 00:31:50,400 Speaker 1: of the conservative analysis is taking Trump's address and the 580 00:31:50,480 --> 00:31:55,640 Speaker 1: Democratic rebuttal just completely on their own, completely independent of 581 00:31:56,240 --> 00:31:59,680 Speaker 1: context of you know the fact that Trump hasn't really 582 00:31:59,720 --> 00:32:02,640 Speaker 1: put himself in a position to persuade anybody who's not 583 00:32:02,720 --> 00:32:06,440 Speaker 1: already a part of his base, because he lies constantly, 584 00:32:06,440 --> 00:32:08,720 Speaker 1: and I think people are well aware of that. So 585 00:32:09,040 --> 00:32:13,240 Speaker 1: if he started suddenly starts saying compassion and hand holding, like, 586 00:32:13,320 --> 00:32:15,920 Speaker 1: nobody's gonna be persuaded by that. And by handholding, I 587 00:32:15,960 --> 00:32:17,880 Speaker 1: mean I'm holding the child in the parents hands to 588 00:32:18,360 --> 00:32:21,880 Speaker 1: break them apart, right, but I'm technically holding their hands, 589 00:32:22,000 --> 00:32:23,840 Speaker 1: but it's just you know, on linked that because I'm 590 00:32:23,920 --> 00:32:26,920 Speaker 1: kidnapping children. One of the things that people speculated he 591 00:32:27,040 --> 00:32:29,600 Speaker 1: might end up doing in this address to the nation 592 00:32:29,800 --> 00:32:34,200 Speaker 1: was declaring a state of emergency, which he did not do, 593 00:32:34,600 --> 00:32:38,840 Speaker 1: but that was kind of in the conversation in the 594 00:32:38,920 --> 00:32:41,920 Speaker 1: lead up to this address, and that's actually really scary. 595 00:32:41,920 --> 00:32:45,880 Speaker 1: There was this Atlantic article back in December talking about 596 00:32:46,000 --> 00:32:51,120 Speaker 1: the basically the insane broad powers that are granted any 597 00:32:51,160 --> 00:32:55,520 Speaker 1: president by their ability to declare an emergency. Um and 598 00:32:55,840 --> 00:32:58,880 Speaker 1: this was actually they wrote this before the conversation about 599 00:32:59,000 --> 00:33:03,280 Speaker 1: him declaring an emergency to build the wall. Yeah, but 600 00:33:03,760 --> 00:33:08,880 Speaker 1: we should be really very afraid of him setting that 601 00:33:09,000 --> 00:33:12,080 Speaker 1: precedent or just the fact that he now is thinking 602 00:33:12,200 --> 00:33:16,960 Speaker 1: in those terms, because I've said before on this podcast 603 00:33:17,040 --> 00:33:21,160 Speaker 1: that I don't think he's going out without a literal fight, 604 00:33:21,440 --> 00:33:23,000 Speaker 1: Like I think he's going to find a way to 605 00:33:23,920 --> 00:33:27,640 Speaker 1: bring the office and America to new all time loads 606 00:33:27,680 --> 00:33:30,920 Speaker 1: and create some sort of constitutional crisis before he's either 607 00:33:31,000 --> 00:33:34,560 Speaker 1: voted out or impeached out of office. And this article 608 00:33:34,640 --> 00:33:39,640 Speaker 1: really kind of outlines in detail how he could do that. 609 00:33:39,920 --> 00:33:42,200 Speaker 1: And I mean they set up a scenario at the 610 00:33:42,280 --> 00:33:44,800 Speaker 1: end of the article where Trump declares a national emergency 611 00:33:44,800 --> 00:33:47,520 Speaker 1: and the lead up to the election because he's losing 612 00:33:47,920 --> 00:33:51,000 Speaker 1: and he claims to have secret intelligence that Iran is 613 00:33:51,040 --> 00:33:54,720 Speaker 1: trying to hack the election in his opponent's favor, and 614 00:33:55,280 --> 00:33:58,280 Speaker 1: they basically lay out, like this, point by point way 615 00:33:58,320 --> 00:34:01,440 Speaker 1: that he could use uh emergency powers. And the only 616 00:34:01,520 --> 00:34:04,959 Speaker 1: way that it was unbelievable was that it suggested that 617 00:34:05,000 --> 00:34:08,480 Speaker 1: Trump gave a ship what people think and like that 618 00:34:08,640 --> 00:34:11,800 Speaker 1: is has never been the case, Like and he seems 619 00:34:11,840 --> 00:34:15,000 Speaker 1: way more of like a smashing grab type person who's 620 00:34:15,040 --> 00:34:17,759 Speaker 1: just gonna grab as much power as he can and 621 00:34:17,760 --> 00:34:21,399 Speaker 1: not give a funk about like whether people are protesting 622 00:34:21,560 --> 00:34:24,799 Speaker 1: or angry about how he's doing it right, And so 623 00:34:24,800 --> 00:34:27,560 Speaker 1: basically they're just making the argument that legally a president 624 00:34:27,640 --> 00:34:31,080 Speaker 1: can basically do whatever they want. We have been relying 625 00:34:31,360 --> 00:34:35,360 Speaker 1: on the fact that no president to this point has 626 00:34:35,760 --> 00:34:40,040 Speaker 1: been willing to just ignore other politicians and the will 627 00:34:40,080 --> 00:34:44,680 Speaker 1: of the majority of the people. And that is right, 628 00:34:44,680 --> 00:34:49,600 Speaker 1: George Bush. And but not like he was just trying 629 00:34:49,600 --> 00:34:52,239 Speaker 1: to He just wanted a war, and you don't want 630 00:34:52,280 --> 00:34:54,359 Speaker 1: to be a war groom. Yeah, I think in this 631 00:34:54,400 --> 00:34:57,080 Speaker 1: sense of like the most self serving aspect of it, 632 00:34:57,120 --> 00:34:59,359 Speaker 1: not just for the military industrial complex to get a check, 633 00:34:59,400 --> 00:35:02,360 Speaker 1: but like, yeah, I just hope that Trump just doesn't 634 00:35:02,760 --> 00:35:04,799 Speaker 1: I hope he gets tired of this, Like I hope 635 00:35:04,800 --> 00:35:06,640 Speaker 1: he's not having fun, like if he wants to just 636 00:35:06,719 --> 00:35:08,879 Speaker 1: like I had done. Well. It seemed like even then, 637 00:35:08,920 --> 00:35:11,120 Speaker 1: like when he told reporters about like him going to 638 00:35:11,160 --> 00:35:13,359 Speaker 1: the border was just a photo op and he's like, yeah, 639 00:35:13,400 --> 00:35:15,399 Speaker 1: because those people think I should go, I don't think 640 00:35:15,400 --> 00:35:17,240 Speaker 1: it's going to change anything. And he was like gesturing 641 00:35:17,280 --> 00:35:20,640 Speaker 1: to Sarah Huckabee and like Kelly and Conway, like he's like, 642 00:35:20,760 --> 00:35:23,120 Speaker 1: I don't want to go, but they say I have to, right. 643 00:35:23,320 --> 00:35:25,120 Speaker 1: So I don't know if he I'm hoping that he 644 00:35:25,239 --> 00:35:27,239 Speaker 1: just does not enjoy this enough to the point where 645 00:35:27,239 --> 00:35:30,279 Speaker 1: he's like, I'm done. Yeah, we'll see something. There was 646 00:35:30,280 --> 00:35:32,400 Speaker 1: an interesting guy, someone who is an adviser to Bush 647 00:35:32,560 --> 00:35:35,680 Speaker 1: also foresaw a scenario which Trump takes a plea deal 648 00:35:35,719 --> 00:35:38,960 Speaker 1: with d o J to resign the office and leave 649 00:35:39,040 --> 00:35:42,520 Speaker 1: peacefully if he gets some kind of immunity for everything. 650 00:35:42,840 --> 00:35:45,080 Speaker 1: But I just don't. I can't see that would be 651 00:35:45,760 --> 00:35:47,680 Speaker 1: to see to think that he could take some kind 652 00:35:47,719 --> 00:35:49,680 Speaker 1: of deal and walk out of here, I would be like, 653 00:35:50,560 --> 00:35:53,960 Speaker 1: I'm tired of any I'm through with any argument that 654 00:35:54,000 --> 00:35:57,080 Speaker 1: he like does the calm thing that we want him 655 00:35:57,120 --> 00:35:59,480 Speaker 1: to do. It really is like you know when when 656 00:35:59,520 --> 00:36:03,120 Speaker 1: you're sports fan like that, I've heard Bill Simmons talk 657 00:36:03,160 --> 00:36:05,560 Speaker 1: about how like you always want to do the thing 658 00:36:05,600 --> 00:36:08,480 Speaker 1: that the opposing team's fans don't want you to do, 659 00:36:08,960 --> 00:36:11,680 Speaker 1: and like that's what Trump Like, you don't want to 660 00:36:11,680 --> 00:36:14,040 Speaker 1: like push the issue or like you know, be you 661 00:36:14,080 --> 00:36:16,640 Speaker 1: don't want the opposing team to be super aggressive and 662 00:36:16,680 --> 00:36:19,800 Speaker 1: play to their strengths. And I feel like we're always 663 00:36:20,560 --> 00:36:23,759 Speaker 1: wishing slash kind of assuming that Trump is going to 664 00:36:23,840 --> 00:36:27,319 Speaker 1: eventually just kind of you know, go away quietly, and 665 00:36:27,360 --> 00:36:29,440 Speaker 1: I just don't. I think we need to be prepared 666 00:36:29,480 --> 00:36:32,759 Speaker 1: for that never to happen, right, well, yeah, that but 667 00:36:32,840 --> 00:36:34,320 Speaker 1: the reason he would do is to stay out of 668 00:36:34,400 --> 00:36:36,600 Speaker 1: jail and keep every all his kids out of jail, right, 669 00:36:36,719 --> 00:36:39,800 Speaker 1: which is that that's the thing he doesn't absolutely fears 670 00:36:40,440 --> 00:36:45,200 Speaker 1: because you what are dying. He's definitely self serving. Yeah, 671 00:36:45,280 --> 00:36:48,880 Speaker 1: oh he I just don't think he hears. He fears wind, 672 00:36:48,960 --> 00:36:52,200 Speaker 1: he fears rain, and he fears himself going to prison 673 00:36:52,880 --> 00:36:56,160 Speaker 1: and people making fun of him for his children going 674 00:36:56,200 --> 00:36:57,759 Speaker 1: to prison. I don't think he really gives a shit 675 00:36:57,800 --> 00:37:00,920 Speaker 1: about anybody except for him in Ivanka under prison, I 676 00:37:00,960 --> 00:37:03,440 Speaker 1: know when that sucks your your d J t J. 677 00:37:04,040 --> 00:37:08,080 Speaker 1: And he's like, I don't know you right if? Are you? Yeah? 678 00:37:08,280 --> 00:37:12,080 Speaker 1: And super producer Nick just pointed out that there's still 679 00:37:12,120 --> 00:37:14,800 Speaker 1: speculation that that might have been what happened with Nixon, 680 00:37:14,920 --> 00:37:19,600 Speaker 1: because Nixon was equally like on the hook power crazy, 681 00:37:19,640 --> 00:37:22,840 Speaker 1: I can launch nuclear bombs if I want, like drunk 682 00:37:22,840 --> 00:37:26,759 Speaker 1: in the White House type of loose cannon throughout his presidency, 683 00:37:27,040 --> 00:37:31,520 Speaker 1: and there's speculation that that's basically how they got him 684 00:37:31,560 --> 00:37:34,799 Speaker 1: to go quietly was by saying, you pardon me, and 685 00:37:34,840 --> 00:37:37,080 Speaker 1: I'll go quietly. Hard in me. Do you have any 686 00:37:37,080 --> 00:37:41,359 Speaker 1: great poop on. Yes. Uh so, just one detail that 687 00:37:41,840 --> 00:37:44,960 Speaker 1: one of our writers, Jam McNabb was pointing out is 688 00:37:45,680 --> 00:37:49,520 Speaker 1: kind of bullshit about Trump's argument is his argument that 689 00:37:49,600 --> 00:37:52,200 Speaker 1: the wall is going to stop drugs from coming into 690 00:37:52,200 --> 00:37:57,680 Speaker 1: the country in anyway. So basically most drugs enter the 691 00:37:57,800 --> 00:38:02,360 Speaker 1: US from Mexico are through legal ports of entry, Like 692 00:38:02,400 --> 00:38:05,640 Speaker 1: they're basically in trucks and cars. And when you look 693 00:38:05,680 --> 00:38:09,600 Speaker 1: at some of the drug smuggling vehicles, it's actually like 694 00:38:09,719 --> 00:38:13,000 Speaker 1: cooler than James Bond gadgets because they have like all 695 00:38:13,000 --> 00:38:17,640 Speaker 1: these really clever like hiding spots. And there's one example 696 00:38:17,680 --> 00:38:22,160 Speaker 1: where Mexican drug smugglers built a homemade submarine that was 697 00:38:22,200 --> 00:38:27,000 Speaker 1: like the size of a small like sedan vehicle. Yeah, 698 00:38:27,040 --> 00:38:29,239 Speaker 1: but yeah, it's pretty dope. I think they in Columbia too, 699 00:38:29,520 --> 00:38:33,520 Speaker 1: like like they'll that's how they like avoid like land crossings. 700 00:38:33,560 --> 00:38:36,600 Speaker 1: They'll just like just do the submarines and they'll be 701 00:38:36,680 --> 00:38:39,520 Speaker 1: dragged behind fishing boats and then if the coast guard 702 00:38:39,560 --> 00:38:42,200 Speaker 1: comes to they cut the line and leave it there. 703 00:38:42,320 --> 00:38:44,200 Speaker 1: So then when but there's nothing in that bone, they're like, 704 00:38:44,239 --> 00:38:46,160 Speaker 1: we don't have anything, and then they come back later 705 00:38:46,160 --> 00:38:47,920 Speaker 1: to pick up the sub and then keep it moving right, 706 00:38:48,080 --> 00:38:51,160 Speaker 1: there's like it's very clever. Or that other car that 707 00:38:51,160 --> 00:38:53,600 Speaker 1: that was also in that article where you you could 708 00:38:53,600 --> 00:38:56,160 Speaker 1: swipe at access card but only if the driver is 709 00:38:56,200 --> 00:38:57,799 Speaker 1: in the driver's seat, the doors are closed and the 710 00:38:57,840 --> 00:39:01,040 Speaker 1: defroster is on, and then you'll open up the secret panel. 711 00:39:02,440 --> 00:39:05,440 Speaker 1: And I'm guessing that you don't actually need the defroster 712 00:39:05,640 --> 00:39:09,080 Speaker 1: on that often in Mexico, So so that's pretty good 713 00:39:09,160 --> 00:39:15,320 Speaker 1: fail safe. Some other ways that they get drugs across drones, buzukas, submarines, tunnels. 714 00:39:15,920 --> 00:39:19,319 Speaker 1: There was one discovered just this summer that ran from 715 00:39:19,360 --> 00:39:23,279 Speaker 1: a Mexican house to an abandoned KFC on the U 716 00:39:23,400 --> 00:39:27,719 Speaker 1: S side and which is so close to breaking bed amazing. 717 00:39:28,000 --> 00:39:30,600 Speaker 1: But yeah, there was like a little eight inch in 718 00:39:30,719 --> 00:39:34,960 Speaker 1: diameter hole that was under one of the tiles, and 719 00:39:35,040 --> 00:39:37,879 Speaker 1: because it was this like dilapidated, you know, closed down 720 00:39:37,960 --> 00:39:41,239 Speaker 1: kfcaying attention right, nobody just paying attention to the fact 721 00:39:41,320 --> 00:39:45,440 Speaker 1: that there were people just like smuggling drugs right through there. Anyways, 722 00:39:45,640 --> 00:39:48,560 Speaker 1: if he was able to put up his metal slats, 723 00:39:48,600 --> 00:39:51,640 Speaker 1: which he that's another way that conservatives are claiming he 724 00:39:51,880 --> 00:39:54,920 Speaker 1: compromised us by backing down from a concrete wall to 725 00:39:54,960 --> 00:40:00,080 Speaker 1: metal slats. But right, I don't I don't know that 726 00:40:00,080 --> 00:40:03,480 Speaker 1: that is meaningful to anyone like it. It's meaningful, I 727 00:40:03,520 --> 00:40:05,839 Speaker 1: guess if you're paying attention to the blow by blow. 728 00:40:06,239 --> 00:40:09,040 Speaker 1: But to the people who are tuning in, I don't 729 00:40:09,040 --> 00:40:11,880 Speaker 1: think they're like, oh, well, that's a big difference. And 730 00:40:11,880 --> 00:40:16,000 Speaker 1: also you're it's not a solution to an actual problem. 731 00:40:16,040 --> 00:40:18,239 Speaker 1: And there's just some dumb ship you did to get 732 00:40:18,280 --> 00:40:21,440 Speaker 1: the base all riled up. That's all it is. It 733 00:40:21,480 --> 00:40:25,080 Speaker 1: does functionally funk all yes, And I mean the key 734 00:40:25,160 --> 00:40:27,560 Speaker 1: point though, that jan was pointing out is that in 735 00:40:27,600 --> 00:40:30,480 Speaker 1: addition to the fact that you know, when you plug 736 00:40:30,560 --> 00:40:34,640 Speaker 1: one hole with you know, drug smuggling, it just goes 737 00:40:34,680 --> 00:40:38,280 Speaker 1: somewhere else, like that that happened with the US crackdown 738 00:40:38,280 --> 00:40:41,400 Speaker 1: on drug trafficking and the Caribbean, and so it just 739 00:40:41,440 --> 00:40:44,000 Speaker 1: all started going through Mexico. And if you block Mexico, 740 00:40:44,040 --> 00:40:46,640 Speaker 1: it's gonna all start coming through another way. But he 741 00:40:46,680 --> 00:40:49,920 Speaker 1: also pointed out that the Office of National Drug Control Policy, 742 00:40:50,600 --> 00:40:55,919 Speaker 1: the government's drug policy division, is effectively closed down during 743 00:40:55,960 --> 00:40:58,719 Speaker 1: the government shutdown, with the staff going from a D 744 00:40:59,239 --> 00:41:02,880 Speaker 1: to three Oh my god. And also Trump just hired 745 00:41:03,200 --> 00:41:06,960 Speaker 1: the drugs are because, as we mentioned on yesterday's episode, 746 00:41:07,400 --> 00:41:09,840 Speaker 1: he was horrified that he had to spend money on 747 00:41:09,880 --> 00:41:12,279 Speaker 1: a transition team because he thought he just got all 748 00:41:12,320 --> 00:41:15,640 Speaker 1: of Obama's people, so he had never hired a Drugs 749 00:41:15,640 --> 00:41:18,239 Speaker 1: are so just the the idea. He's totally fucked up 750 00:41:18,280 --> 00:41:21,600 Speaker 1: the battle on that he cares about, yeah, the war 751 00:41:21,640 --> 00:41:24,799 Speaker 1: on drugs, and he is now trying to act like 752 00:41:24,880 --> 00:41:28,359 Speaker 1: that is a key part of of why he wants this, 753 00:41:28,560 --> 00:41:31,959 Speaker 1: and it just doesn't make sense in a ton of ways. 754 00:41:33,080 --> 00:41:36,839 Speaker 1: The problem and oh but that's also the drug control people. 755 00:41:36,920 --> 00:41:40,240 Speaker 1: That's down to three people, but it's still a problem. Yeah. 756 00:41:40,280 --> 00:41:44,680 Speaker 1: But Okay, I mean, look, let's just wants Yeah, he 757 00:41:44,719 --> 00:41:48,000 Speaker 1: just wants his fucking wall and he doesn't need it. 758 00:41:49,040 --> 00:41:51,040 Speaker 1: And but also I just like when you look at 759 00:41:51,080 --> 00:41:53,600 Speaker 1: also the toll it's taking on. Even like like some 760 00:41:53,680 --> 00:41:55,959 Speaker 1: of the Senate Republicans are starting to buckle a little 761 00:41:55,960 --> 00:41:57,759 Speaker 1: bit because before they were just like I'm not going 762 00:41:57,800 --> 00:41:59,600 Speaker 1: to really come out and be like, yeah, man, we 763 00:41:59,640 --> 00:42:01,719 Speaker 1: need this wall. They're just kind of like, Okay, let's 764 00:42:01,719 --> 00:42:03,560 Speaker 1: be quietly shut the funk up, let's see how it goes. 765 00:42:03,600 --> 00:42:05,920 Speaker 1: And now it's like getting into what day twenty or 766 00:42:05,960 --> 00:42:10,640 Speaker 1: whatever that now people are like okay, uh, you know, 767 00:42:10,719 --> 00:42:15,480 Speaker 1: like who is it? Lisa Murkowski starting to say stuff, uh, 768 00:42:15,520 --> 00:42:17,799 Speaker 1: and like other Republican senators trying to be like, well, 769 00:42:17,800 --> 00:42:19,600 Speaker 1: maybe we can just start funding it, like you know, 770 00:42:19,640 --> 00:42:22,960 Speaker 1: on an agency by agency basis, and you know, because 771 00:42:23,160 --> 00:42:26,920 Speaker 1: it's gonna get hotter as the days go on, but 772 00:42:27,200 --> 00:42:30,640 Speaker 1: you know, we'll see who's gonna blink first. I just well, 773 00:42:30,640 --> 00:42:34,000 Speaker 1: I mean, the key detail about the shutdown is that 774 00:42:34,080 --> 00:42:37,760 Speaker 1: there was a bipartisan agreement right and how to move forward, 775 00:42:37,920 --> 00:42:40,560 Speaker 1: and Trump was on board with it until he heard 776 00:42:40,800 --> 00:42:44,800 Speaker 1: from Laura Ingram who was it, and culture and culture 777 00:42:44,800 --> 00:42:47,000 Speaker 1: and Russell Limbaugh. Yeah, like that'll be the end of 778 00:42:47,000 --> 00:42:48,719 Speaker 1: his presdency if he doesn't give us our wall, and 779 00:42:48,920 --> 00:42:52,480 Speaker 1: that is the entire cause for this shutdown. And other 780 00:42:52,520 --> 00:42:54,840 Speaker 1: people point out that, like, if drugs are the issue, 781 00:42:55,160 --> 00:42:59,160 Speaker 1: why I do this like really laborious, slow moving process 782 00:42:59,360 --> 00:43:03,319 Speaker 1: of building the wall. Stop it? Yeah. Yeah, even like 783 00:43:03,400 --> 00:43:06,560 Speaker 1: none of the logic tracks because they're just really grasping 784 00:43:06,560 --> 00:43:09,240 Speaker 1: at straws because they're trying to justify something. The GOP 785 00:43:09,360 --> 00:43:12,760 Speaker 1: has always relied on the concept of the war on drugs. 786 00:43:13,560 --> 00:43:17,240 Speaker 1: Anything that they want past, so it's just them grasping 787 00:43:17,239 --> 00:43:20,600 Speaker 1: at that one more time. Yeah, I mean the fact 788 00:43:20,680 --> 00:43:24,880 Speaker 1: that they hired a drugs are I think yesterday. Uh 789 00:43:25,120 --> 00:43:29,359 Speaker 1: so they spent the entire administration not having one and 790 00:43:29,520 --> 00:43:32,239 Speaker 1: having the O n d P staffed buy a bunch 791 00:43:32,280 --> 00:43:34,680 Speaker 1: of twenty year olds, like nine twenty year olds up 792 00:43:34,719 --> 00:43:39,160 Speaker 1: to that point. Uh, I don't see the problem, man. Yeah, 793 00:43:39,200 --> 00:43:42,080 Speaker 1: he's just you know, he's just like, Oh, I guess 794 00:43:42,120 --> 00:43:44,160 Speaker 1: now that I pretend I care about drugs, I have 795 00:43:44,200 --> 00:43:47,120 Speaker 1: to hire this drugs are anyways. And by the way, 796 00:43:47,120 --> 00:43:52,080 Speaker 1: he's considered cutting its budget by according to a leaked 797 00:43:52,120 --> 00:43:56,080 Speaker 1: budget document, and the White House included the same cut 798 00:43:56,080 --> 00:43:58,960 Speaker 1: in the two thousand eighteen budget, and Congress has just 799 00:43:59,120 --> 00:44:01,400 Speaker 1: had to continuely ignore it because they're like, we have 800 00:44:01,440 --> 00:44:05,719 Speaker 1: a drug problem. Well taken over from Kelly and Conway, right, 801 00:44:05,760 --> 00:44:08,120 Speaker 1: who was I think kind of the de facto drugs 802 00:44:08,120 --> 00:44:11,440 Speaker 1: are right, one of her twenty jobs because everyone had 803 00:44:12,239 --> 00:44:15,880 Speaker 1: because hiring people is boring. Firing people's fun, but hiring 804 00:44:15,920 --> 00:44:18,640 Speaker 1: people that also hiring people means more of checks you 805 00:44:18,680 --> 00:44:22,560 Speaker 1: got cut, right, and more people who you have to 806 00:44:22,600 --> 00:44:25,240 Speaker 1: pay attention to who aren't you And the catchphrase doesn't 807 00:44:25,320 --> 00:44:27,560 Speaker 1: hit as well, like you're hired well, And then I 808 00:44:27,640 --> 00:44:29,520 Speaker 1: remember that was like she got in trouble when she 809 00:44:29,640 --> 00:44:31,480 Speaker 1: was like, you know, it's a will problem. It's a 810 00:44:31,480 --> 00:44:34,719 Speaker 1: willpower issue with all these drug users. That's the first 811 00:44:34,760 --> 00:44:38,239 Speaker 1: thing they teach you and recovery. What's up with you, dude? Yeah, 812 00:44:38,239 --> 00:44:41,920 Speaker 1: why aren't you trying harder? It's an illness, It's a 813 00:44:42,040 --> 00:44:45,760 Speaker 1: will dude. Here's some Tony Robbins tapes try and kick fentanyl. 814 00:44:46,239 --> 00:44:48,239 Speaker 1: But yeah, you know she said the kids should go. 815 00:44:48,280 --> 00:44:50,439 Speaker 1: What was it to reach for French fries and ice 816 00:44:50,480 --> 00:44:56,239 Speaker 1: cream or something? Ice cream? Oh my god? Yeah, so 817 00:44:57,480 --> 00:44:59,359 Speaker 1: what had you are you saying? Oh my god? Because 818 00:44:59,360 --> 00:45:03,920 Speaker 1: you just hadn't out of it that way what she said? No, 819 00:45:04,120 --> 00:45:09,399 Speaker 1: that's she's it. Uh, I lost. They've drowned, my words 820 00:45:09,400 --> 00:45:14,239 Speaker 1: have drowned in sadness. It's a daily currents here. We 821 00:45:14,280 --> 00:45:18,600 Speaker 1: have succeeded for this episode. Whenever that happens, we should 822 00:45:18,640 --> 00:45:25,879 Speaker 1: have like a little siren where all right, we're gonna 823 00:45:25,920 --> 00:45:38,439 Speaker 1: take a quick break, we'll be right back, and we're back. 824 00:45:39,040 --> 00:45:43,960 Speaker 1: And civil rights hero Angela Davis is back as well. 825 00:45:44,120 --> 00:45:48,959 Speaker 1: She got a humanitarian award from was it the state 826 00:45:48,960 --> 00:45:53,080 Speaker 1: of Alabama. No, it was a civil rights group in Birmingham. Okay, 827 00:45:53,320 --> 00:45:56,600 Speaker 1: so yeah, good for her. And wait, what's this? It 828 00:45:56,680 --> 00:46:00,760 Speaker 1: has been revoked because she does not think Israel should 829 00:46:00,760 --> 00:46:04,719 Speaker 1: be able to steamroll Palestine. Yeah, I mean, like they 830 00:46:04,719 --> 00:46:07,719 Speaker 1: said it was for her quote long term support of 831 00:46:07,800 --> 00:46:14,200 Speaker 1: justice for Palestine. Okay, civil rights identifying a population that 832 00:46:14,360 --> 00:46:19,040 Speaker 1: is being systematically torn apart by an oppressive regime for 833 00:46:19,160 --> 00:46:23,520 Speaker 1: no real, real justifiable reason. Is getting her humanitarian war 834 00:46:23,600 --> 00:46:27,759 Speaker 1: taken back because they got pressure from outside groups like oh, 835 00:46:27,800 --> 00:46:30,160 Speaker 1: I don't know about this. Well, the whole you know 836 00:46:30,440 --> 00:46:36,440 Speaker 1: BDS boycott, divest sanctioned movement has just become a bigger 837 00:46:36,480 --> 00:46:39,880 Speaker 1: and bigger deal recently because like there were people like 838 00:46:39,920 --> 00:46:42,320 Speaker 1: who is that woman? I think she was Palestinian and 839 00:46:42,400 --> 00:46:45,280 Speaker 1: like Texas or something. She was like an occupational therapist 840 00:46:45,400 --> 00:46:47,919 Speaker 1: or something, or like a teacher, Like she was gonna 841 00:46:47,960 --> 00:46:50,359 Speaker 1: lose her job because they're like, what do you mean 842 00:46:50,360 --> 00:46:53,080 Speaker 1: your boycotting news rule? Like what does that have to 843 00:46:53,080 --> 00:46:55,480 Speaker 1: do with my job? Yeah? They just it's basically an 844 00:46:55,520 --> 00:46:59,040 Speaker 1: argument over trying to define b DS people who support, 845 00:46:59,280 --> 00:47:04,560 Speaker 1: you know, boycotting sanctioning, and was the other one dis boycotting, divesting, 846 00:47:04,560 --> 00:47:09,040 Speaker 1: and sanctioning Israel as an anti Semitic perspective to have. 847 00:47:09,520 --> 00:47:12,120 Speaker 1: It's just I don't understand how we're still kind of 848 00:47:12,120 --> 00:47:14,239 Speaker 1: here on this thing of like we're trying to point 849 00:47:14,280 --> 00:47:18,080 Speaker 1: to this mistreatment that is being undertaken by the Israeli 850 00:47:18,120 --> 00:47:21,480 Speaker 1: government has something to do with being against the religion 851 00:47:21,480 --> 00:47:24,279 Speaker 1: of Judaism, where it's like, no, we're looking at the 852 00:47:25,160 --> 00:47:28,479 Speaker 1: victims of your policy who are unfairly treated, and people 853 00:47:28,520 --> 00:47:32,240 Speaker 1: are calling that out right, and it's a very conservative, 854 00:47:32,320 --> 00:47:34,920 Speaker 1: like the thing that is being objected to is a 855 00:47:35,040 --> 00:47:38,440 Speaker 1: very conservative Israeli perspective. There's a lot of people in 856 00:47:38,520 --> 00:47:43,600 Speaker 1: Israel who are also you know, against the settlements. Yeah. Well, 857 00:47:43,600 --> 00:47:45,600 Speaker 1: and it's and it bled over to uh, you know, 858 00:47:45,640 --> 00:47:47,400 Speaker 1: like the Senate because like one of the first bills 859 00:47:47,400 --> 00:47:49,680 Speaker 1: that was introduced, I think was like Marco Rubio and 860 00:47:50,040 --> 00:47:53,799 Speaker 1: uh fucking Joe Mansion, they put a bill for like 861 00:47:53,840 --> 00:47:55,759 Speaker 1: the first order of business in the Senate was to 862 00:47:56,280 --> 00:48:00,360 Speaker 1: like to protect people who are like anti bds, to 863 00:48:00,520 --> 00:48:04,320 Speaker 1: protect people essentially saying that states could like not work 864 00:48:04,360 --> 00:48:07,799 Speaker 1: with companies that were boycotting Israel, like that could be there, right, 865 00:48:07,880 --> 00:48:10,839 Speaker 1: and like a lot of people like Bernie Sanders and 866 00:48:11,120 --> 00:48:14,120 Speaker 1: Rashida Toyi were like, Yo, what the funk, Like y'all 867 00:48:14,120 --> 00:48:16,319 Speaker 1: are doing ship right now with the shutdown and the 868 00:48:16,320 --> 00:48:18,000 Speaker 1: first bill you want to offer up is some weird 869 00:48:18,040 --> 00:48:20,399 Speaker 1: distraction about b D like b D S stuff, when 870 00:48:20,400 --> 00:48:23,320 Speaker 1: everyone there's already all this talk like people are suing 871 00:48:23,360 --> 00:48:25,719 Speaker 1: over this because like this is like the violations of 872 00:48:25,719 --> 00:48:28,600 Speaker 1: people's First Amendment rights, Like if they want to boycott something, 873 00:48:28,640 --> 00:48:32,160 Speaker 1: that's their prerogative to do something. But then you know, 874 00:48:32,239 --> 00:48:34,839 Speaker 1: Marco Rubio and it got in his bag, was like, well, 875 00:48:34,920 --> 00:48:39,360 Speaker 1: you know, it was just a just a distraction, and it's, uh, 876 00:48:39,440 --> 00:48:43,040 Speaker 1: it's just it's just mind blowing that Angela Davis, who 877 00:48:43,200 --> 00:48:46,759 Speaker 1: is like a very prominent civil rights leader, is being 878 00:48:46,800 --> 00:48:51,600 Speaker 1: like being reprimanded for for basically standing up for people's 879 00:48:51,640 --> 00:48:54,440 Speaker 1: civil rights at the very at the very least, it 880 00:48:54,560 --> 00:48:58,839 Speaker 1: is an acceptable form of protest to you know, support BDS, 881 00:48:58,880 --> 00:49:02,320 Speaker 1: and the idea that you would be preventing that by 882 00:49:02,480 --> 00:49:08,719 Speaker 1: claiming anti semitism is it seems aggressive and like it's taking, 883 00:49:09,160 --> 00:49:12,560 Speaker 1: like it's doing the thing that people are always on 884 00:49:12,600 --> 00:49:14,960 Speaker 1: the right are always claiming the left is doing, which 885 00:49:15,000 --> 00:49:19,000 Speaker 1: is preventing people from having an open and honest debate. 886 00:49:19,640 --> 00:49:23,160 Speaker 1: This seems like it's actually doing that. Uh, let's talk 887 00:49:23,200 --> 00:49:27,320 Speaker 1: about cheese. Yeah, let's move on to some harmon John cheese, 888 00:49:27,560 --> 00:49:33,560 Speaker 1: Hamas cheese. You know how we like to pivot off 889 00:49:33,640 --> 00:49:37,600 Speaker 1: of the boycotting, divesting Israel into the cheese surplus right 890 00:49:37,760 --> 00:49:41,440 Speaker 1: that the nation is facing. The unused cheese we have 891 00:49:41,520 --> 00:49:45,000 Speaker 1: in this country has reached one point four billion dollars 892 00:49:45,000 --> 00:49:48,239 Speaker 1: worth of cheese that is just kicking it, waiting for 893 00:49:48,280 --> 00:49:52,200 Speaker 1: people to consume it and the like. If you did 894 00:49:52,200 --> 00:49:54,880 Speaker 1: the math, they're saying, like it could basically cover the 895 00:49:55,040 --> 00:49:57,719 Speaker 1: entire Capitol building if you use it as like wallpaper, 896 00:49:57,800 --> 00:50:00,560 Speaker 1: Like you could just entirely drape the Apital building in 897 00:50:00,640 --> 00:50:02,120 Speaker 1: d C with cheese. That's how much cheese were talking. 898 00:50:02,160 --> 00:50:04,160 Speaker 1: We're talking about blocks of cheese. Are we talking about 899 00:50:04,280 --> 00:50:06,520 Speaker 1: craft singles? However you want to cut it down, I mean, 900 00:50:06,560 --> 00:50:08,360 Speaker 1: just based off the weight, depending on how you slice 901 00:50:08,400 --> 00:50:12,319 Speaker 1: it up, cut it up. What's mostly processed cheese is 902 00:50:12,360 --> 00:50:14,640 Speaker 1: And a lot of the thing is that the reason 903 00:50:14,680 --> 00:50:17,000 Speaker 1: the surplus is high is because the dairy industry has 904 00:50:17,000 --> 00:50:20,120 Speaker 1: just like been in hyper drive. Despite them ignoring like 905 00:50:20,160 --> 00:50:22,760 Speaker 1: everyone's like, we don't really funk with milk that much anymore, 906 00:50:23,239 --> 00:50:25,400 Speaker 1: and a lot of like the fake gass cheese you 907 00:50:25,400 --> 00:50:28,120 Speaker 1: make with the milk by products. People don't like processed 908 00:50:28,160 --> 00:50:32,040 Speaker 1: cheese anymore either, People like fancy millennials and ship and 909 00:50:32,120 --> 00:50:34,400 Speaker 1: worldly people are like I prefer you know, like a 910 00:50:34,440 --> 00:50:40,439 Speaker 1: manchego or some other like, yeah, like real cheese made 911 00:50:40,480 --> 00:50:42,520 Speaker 1: from like you know, like just cheese, not like our 912 00:50:42,680 --> 00:50:45,040 Speaker 1: craft singles and stuff like that. Yeah. The last time 913 00:50:45,080 --> 00:50:48,440 Speaker 1: we had a huge cheese surplus in the early eighties 914 00:50:48,480 --> 00:50:51,720 Speaker 1: following like the invention of skim milk, when the dairy 915 00:50:51,840 --> 00:50:53,839 Speaker 1: industry was just like, what the fund do we do 916 00:50:53,880 --> 00:50:56,920 Speaker 1: with all this extra fat, Let's turn it into cheese. 917 00:50:57,200 --> 00:51:00,919 Speaker 1: They stored it in a cave in Missouri, I think, 918 00:51:01,320 --> 00:51:05,879 Speaker 1: and just waited for a strategy to come along where 919 00:51:05,920 --> 00:51:08,760 Speaker 1: they could like offload that, and they ended up offloading 920 00:51:08,760 --> 00:51:12,680 Speaker 1: it into our veins be a fast food because like 921 00:51:12,719 --> 00:51:16,840 Speaker 1: they basically started cutting deals with two passive like corporations 922 00:51:16,920 --> 00:51:20,640 Speaker 1: to just add tons and tons of cheese. Well, the 923 00:51:20,680 --> 00:51:24,320 Speaker 1: trade wars aren't helping either, because like exports to China 924 00:51:24,400 --> 00:51:27,839 Speaker 1: down like six and then to Mexico it's like ten 925 00:51:28,719 --> 00:51:34,080 Speaker 1: so you know there's a lot of cheese chilling yeah anywhere. Yeah, 926 00:51:34,239 --> 00:51:36,080 Speaker 1: well that process shop, I mean, come on, man, like 927 00:51:36,160 --> 00:51:38,480 Speaker 1: we're past that. You know, we're all about We're all 928 00:51:38,480 --> 00:51:41,960 Speaker 1: about fine cheeses from Marjorie's. I like to go to 929 00:51:42,920 --> 00:51:46,080 Speaker 1: one of my favorite fast food restaurants, Domino's. One of 930 00:51:46,080 --> 00:51:49,600 Speaker 1: the ways that they rebuilt their pizza and made a 931 00:51:49,680 --> 00:51:52,560 Speaker 1: good was like tripling the amount of cheese, right yeah, 932 00:51:53,000 --> 00:51:54,880 Speaker 1: and then sprinkle a little bit on the crust. You 933 00:51:54,880 --> 00:51:58,360 Speaker 1: know it works. Oh but a little factoid, average American 934 00:51:58,400 --> 00:52:02,120 Speaker 1: two thousan seventy seven pounds of cheese. Was that all? Okay? Well, 935 00:52:03,920 --> 00:52:07,200 Speaker 1: can you think about that seven imagine that thirty seven 936 00:52:07,239 --> 00:52:09,680 Speaker 1: pound block of cheese and being like we got dropped 937 00:52:09,680 --> 00:52:11,120 Speaker 1: off to us today, Like you know, by the end 938 00:52:11,160 --> 00:52:13,400 Speaker 1: of the year, you're eating this whole thing. Yeah, but 939 00:52:13,480 --> 00:52:14,800 Speaker 1: I guess it makes sense when you put it on 940 00:52:15,520 --> 00:52:21,319 Speaker 1: cheese dot cheese every day. Yeah, yeah, in one form 941 00:52:21,400 --> 00:52:23,440 Speaker 1: or another, for sure. Oh yeah, when I think about it, 942 00:52:23,440 --> 00:52:25,280 Speaker 1: I did not eat a lot of cheese in Japan, 943 00:52:25,400 --> 00:52:28,000 Speaker 1: but I think since coming back, there's been cheese on 944 00:52:28,080 --> 00:52:30,959 Speaker 1: damn near everything. I ate. Yeah, when my in laws 945 00:52:31,000 --> 00:52:33,160 Speaker 1: are in town and we're eating nothing but Korean. I 946 00:52:34,200 --> 00:52:37,759 Speaker 1: stop eating cheese and start craving the ship out of it. 947 00:52:38,160 --> 00:52:40,600 Speaker 1: That's how I know I have a problem. Really, Like, 948 00:52:41,040 --> 00:52:43,160 Speaker 1: come on, man, yeah, just give me a block of cheese. 949 00:52:44,920 --> 00:52:47,680 Speaker 1: Let me get a key of American processes. Yeah, and 950 00:52:47,800 --> 00:52:49,440 Speaker 1: I just pointed out, you know, we just give these 951 00:52:49,480 --> 00:52:52,520 Speaker 1: people who are fighting drug addictions just cheese. Oh you know, 952 00:52:54,280 --> 00:52:58,960 Speaker 1: put down the h and pick up the check whatever 953 00:52:59,640 --> 00:53:05,640 Speaker 1: the ched are. And finally, in other important world news, 954 00:53:06,000 --> 00:53:08,879 Speaker 1: world news, so you don't don't act like we don't 955 00:53:08,920 --> 00:53:15,600 Speaker 1: talk about hard hitting international stories. A restaurant in Paris 956 00:53:15,680 --> 00:53:19,920 Speaker 1: has closed because it wasn't getting enough customers at the end. 957 00:53:20,640 --> 00:53:24,439 Speaker 1: Uh No, this is the neudest restaurant, which I wasn't 958 00:53:24,440 --> 00:53:27,120 Speaker 1: even aware. Apparently it has made a splash a couple 959 00:53:27,560 --> 00:53:30,240 Speaker 1: years ago when it opened, but it was not a success. 960 00:53:30,400 --> 00:53:32,680 Speaker 1: Well it was only over for fifteen months and it 961 00:53:32,840 --> 00:53:37,880 Speaker 1: was called Oh Natural in Paris that offers like an 962 00:53:37,920 --> 00:53:43,640 Speaker 1: Irish place, Natural Naturals, where it offered diners the experience 963 00:53:43,719 --> 00:53:47,839 Speaker 1: of eating butt naked, uh like in a restaurant, because yeah, 964 00:53:48,360 --> 00:53:50,680 Speaker 1: how could that not be a market if consumers you're 965 00:53:50,680 --> 00:53:52,320 Speaker 1: trying to hit But yeah, they had to shut it 966 00:53:52,480 --> 00:53:54,000 Speaker 1: and it wasn't I don't think because the food was bad, 967 00:53:54,000 --> 00:53:55,759 Speaker 1: because a lot of the reviews were like pretty high 968 00:53:56,320 --> 00:53:59,160 Speaker 1: food was good. I think based on photos I saw, 969 00:53:59,160 --> 00:54:00,680 Speaker 1: and I don't know if this is true, it looked 970 00:54:00,680 --> 00:54:04,239 Speaker 1: like cloth seats really, and if I'm thinking of just 971 00:54:04,360 --> 00:54:06,880 Speaker 1: a bunch of butt naked people, the last thing I 972 00:54:06,920 --> 00:54:08,640 Speaker 1: want to think about is like the last person to 973 00:54:08,800 --> 00:54:10,800 Speaker 1: sit on that thing, you know what I mean? Just 974 00:54:10,920 --> 00:54:13,600 Speaker 1: like but they couldn't. Yeah, Like I imagine they wouldn't 975 00:54:13,600 --> 00:54:15,920 Speaker 1: put plastic over because imagine sitting button naked on the 976 00:54:15,960 --> 00:54:17,759 Speaker 1: plastic and then having to get up and and then 977 00:54:17,760 --> 00:54:21,000 Speaker 1: you just like, yeah, you shouvied your asshole, like because 978 00:54:21,040 --> 00:54:24,520 Speaker 1: you sit on some weird steaming tray, Like yeah, what 979 00:54:24,560 --> 00:54:26,719 Speaker 1: do you put down? Like the little bib they give 980 00:54:26,760 --> 00:54:28,360 Speaker 1: you at the dentist on each chair and then that 981 00:54:28,440 --> 00:54:31,480 Speaker 1: makes you feel even grosser? Yeah, what do you do? 982 00:54:31,560 --> 00:54:34,960 Speaker 1: How do you win leather? And then you light all 983 00:54:35,000 --> 00:54:37,960 Speaker 1: the ship out of it? I think they're they're thinking 984 00:54:38,440 --> 00:54:41,520 Speaker 1: when they opened this restaurant was sex cells, and the 985 00:54:41,880 --> 00:54:45,120 Speaker 1: reality of this restaurant is how would you like to 986 00:54:45,320 --> 00:54:50,000 Speaker 1: eat in a locker room? Like essentially, like yeah, just random, 987 00:54:50,200 --> 00:54:52,239 Speaker 1: strange naked peep because like, what would it be like 988 00:54:52,280 --> 00:54:54,600 Speaker 1: in the summer, you know what I mean, people coming 989 00:54:54,719 --> 00:54:58,400 Speaker 1: hot off the street and what's I've never been to Paris. 990 00:54:58,760 --> 00:55:01,279 Speaker 1: What's it like in the summers. It's hot, it's hot. Yeah, 991 00:55:01,480 --> 00:55:04,799 Speaker 1: I've never been to Paris the summer. Hey, Nick, can 992 00:55:04,840 --> 00:55:07,720 Speaker 1: you chime it on this? Alright? So superducer Nick stump. 993 00:55:07,800 --> 00:55:10,880 Speaker 1: Oh you didn't believe me. I just he's married to 994 00:55:10,920 --> 00:55:16,680 Speaker 1: a French person, all right. I went to Paris in 995 00:55:16,840 --> 00:55:19,799 Speaker 1: July like three years ago. But that's cool. You asked 996 00:55:19,800 --> 00:55:25,680 Speaker 1: me about New Jersey, fuck you man? De yoh No, 997 00:55:25,880 --> 00:55:28,680 Speaker 1: But yeah, that's what I mean, like hot summer nude 998 00:55:28,719 --> 00:55:30,640 Speaker 1: people because like if you've been in any city that 999 00:55:30,840 --> 00:55:33,480 Speaker 1: gets hot in the summer, you know everybody has different 1000 00:55:33,800 --> 00:55:38,480 Speaker 1: hygiene regiments. So then like Paris is no different. Uh 1001 00:55:38,760 --> 00:55:41,560 Speaker 1: you know, I think there's like a hacky stand up 1002 00:55:41,640 --> 00:55:45,080 Speaker 1: thing like French people don't wash or whatever. Right, I 1003 00:55:45,160 --> 00:55:47,759 Speaker 1: think they just have more of an appreciation for our 1004 00:55:47,960 --> 00:55:52,960 Speaker 1: natural musques. But still that that is going to leave 1005 00:55:53,360 --> 00:55:57,839 Speaker 1: a impression on a cloth seat, right, But the whole 1006 00:55:57,880 --> 00:55:59,480 Speaker 1: it was interesting. The way you went to the restaurant. 1007 00:55:59,480 --> 00:56:01,600 Speaker 1: There was just a white sheet so you couldn't see 1008 00:56:01,719 --> 00:56:03,480 Speaker 1: him from the street obviously because it was meant to 1009 00:56:03,520 --> 00:56:06,800 Speaker 1: be a glass menagerie for people to look into. But 1010 00:56:06,920 --> 00:56:10,560 Speaker 1: then like they will give you slippers and if you're 1011 00:56:10,560 --> 00:56:12,360 Speaker 1: a lady, you keep your heels on. It's like you 1012 00:56:12,440 --> 00:56:15,759 Speaker 1: have to. You have the option to option, which is weird, 1013 00:56:16,000 --> 00:56:18,680 Speaker 1: Like why can't dudes rock their weird shitty shoes. I 1014 00:56:18,760 --> 00:56:24,960 Speaker 1: think again, it's because it's the sex thing. Letty European sneakers. Yeah, 1015 00:56:25,880 --> 00:56:28,200 Speaker 1: it just doesn't feel very sexy to like for me, 1016 00:56:28,360 --> 00:56:30,680 Speaker 1: it's like to eat naked. Well that's but it's for 1017 00:56:30,920 --> 00:56:33,399 Speaker 1: you know, the for the nudist community who are it's 1018 00:56:33,400 --> 00:56:36,080 Speaker 1: not about sex. For them, it's just about just being 1019 00:56:36,160 --> 00:56:38,440 Speaker 1: like yo, I want to be free and natural, right, 1020 00:56:38,760 --> 00:56:43,120 Speaker 1: But is the nudist community, our nudist colonies overflowing with 1021 00:56:43,400 --> 00:56:45,520 Speaker 1: demand to the point that they're like, we got to 1022 00:56:45,560 --> 00:56:49,040 Speaker 1: bring this mainstream guys, because these we can't contain the 1023 00:56:49,200 --> 00:56:52,120 Speaker 1: demand for nudist colonies. Also, I bet nudist colonies have 1024 00:56:52,200 --> 00:56:56,520 Speaker 1: a good snack, yeah, their own on site restaurant. Yeah, yeah, 1025 00:56:56,800 --> 00:56:59,200 Speaker 1: which is like all wooden benches, right, you know what 1026 00:56:59,239 --> 00:57:02,840 Speaker 1: I mean that are properly sealed and weather coated and 1027 00:57:03,160 --> 00:57:07,160 Speaker 1: cleaned on regular it can just be jetwashed. So I 1028 00:57:07,200 --> 00:57:09,160 Speaker 1: don't know. I just couldn't get over the cloth seats. 1029 00:57:09,239 --> 00:57:10,560 Speaker 1: I was like, you know, that's fine, it's just the 1030 00:57:10,640 --> 00:57:14,560 Speaker 1: seating I'm worried about. Yes, who knows what kind of 1031 00:57:14,600 --> 00:57:19,040 Speaker 1: but booty juice soaked into those cushions. So I'm sorry, 1032 00:57:19,120 --> 00:57:21,560 Speaker 1: that's what I'm thinking as a consumer. No, it's what 1033 00:57:21,680 --> 00:57:24,000 Speaker 1: you should be thinking. It's just gross. It's not what 1034 00:57:24,160 --> 00:57:27,600 Speaker 1: they should have been thinking. They should have had plastic. 1035 00:57:27,640 --> 00:57:30,520 Speaker 1: But you know, shout out to oh natural. Yes you 1036 00:57:30,920 --> 00:57:33,880 Speaker 1: were taking first and too soon. All right, Well, Carmen, 1037 00:57:34,040 --> 00:57:37,040 Speaker 1: it's been a pleasure having you as always. Where can 1038 00:57:37,080 --> 00:57:44,800 Speaker 1: people find you? Were all? I left Facebook? So Facebook, 1039 00:57:45,120 --> 00:57:48,000 Speaker 1: I thought you were just ghosting me. I mean I 1040 00:57:48,040 --> 00:57:52,400 Speaker 1: ghosted everyone anyway. Um, but I am on Instant and 1041 00:57:52,680 --> 00:57:58,280 Speaker 1: Twitter at Carmesan Cheese. Is I put it in my name, 1042 00:58:00,000 --> 00:58:02,919 Speaker 1: it in my hand my name. I legally changed my name, 1043 00:58:03,080 --> 00:58:04,800 Speaker 1: So yeah, I guess you could say I'm a fan 1044 00:58:04,840 --> 00:58:07,240 Speaker 1: of cheese. Do you get the like did you get 1045 00:58:07,280 --> 00:58:08,680 Speaker 1: the urge to eat it like Jack does if you 1046 00:58:08,720 --> 00:58:11,440 Speaker 1: don't have it a long time? No, I don't know, 1047 00:58:11,840 --> 00:58:15,680 Speaker 1: you're not really about that. I just I'm a poser online. 1048 00:58:18,040 --> 00:58:20,640 Speaker 1: I pose as a carmesan cheese. And is there a 1049 00:58:20,680 --> 00:58:23,480 Speaker 1: tweet that you've been enjoying? I guess I could say. 1050 00:58:24,000 --> 00:58:29,760 Speaker 1: In my opinion, Teresa Lee has perhaps my favorite tweets 1051 00:58:30,040 --> 00:58:33,600 Speaker 1: like she like, she generally anything she tweets. I'm like 1052 00:58:34,280 --> 00:58:41,560 Speaker 1: you spoke my heart on Twitter? Uh, Miles, where can 1053 00:58:41,600 --> 00:58:43,640 Speaker 1: people find you? You can find me on Twitter and 1054 00:58:43,840 --> 00:58:47,360 Speaker 1: Instagram at Miles of Gray. A tweet I like is 1055 00:58:47,440 --> 00:58:52,640 Speaker 1: from at Daily Zeitgeist. Because in San Francisco, we tweeted 1056 00:58:52,800 --> 00:58:54,520 Speaker 1: that we will be doing a live show at San 1057 00:58:54,560 --> 00:58:58,919 Speaker 1: Francisco Sketch Fest on Saturday, January nineteenth at the munch 1058 00:58:59,000 --> 00:59:02,640 Speaker 1: Line Comedy Club an So it's gonna be the nice 1059 00:59:02,760 --> 00:59:05,760 Speaker 1: late show. We won't get down and dirty and you know, 1060 00:59:06,040 --> 00:59:07,680 Speaker 1: just real sweaty in there, and it's gonna be a 1061 00:59:07,680 --> 00:59:09,560 Speaker 1: great live show. So if you guys are in the area, 1062 00:59:09,720 --> 00:59:12,600 Speaker 1: the Bay area, the YA area, please come by support 1063 00:59:12,760 --> 00:59:15,360 Speaker 1: us because we would love to see you. Yeah, first 1064 00:59:15,400 --> 00:59:18,760 Speaker 1: of all, do that you can get the tickets at 1065 00:59:18,840 --> 00:59:22,520 Speaker 1: live Nation or SF sketch Fest dot com or you know, 1066 00:59:22,840 --> 00:59:25,680 Speaker 1: all all the all the places and a tweet I've 1067 00:59:25,680 --> 00:59:29,960 Speaker 1: been enjoying retweeted by superproducer on a hosnie I, originally 1068 00:59:30,400 --> 00:59:35,360 Speaker 1: tweeted by Matt renown uh in response to So the 1069 00:59:35,480 --> 00:59:38,560 Speaker 1: AP did a fact check two nights ago on the 1070 00:59:39,080 --> 00:59:42,560 Speaker 1: Democratic response to the president speech. They said a p 1071 00:59:42,720 --> 00:59:46,320 Speaker 1: fact check. Democrats put the blame for the shutdown on Trump, 1072 00:59:46,440 --> 00:59:49,320 Speaker 1: but it takes two to tango. Trump's demand for five 1073 00:59:49,360 --> 00:59:51,800 Speaker 1: point seven billion for his border wall is one reason 1074 00:59:51,880 --> 00:59:55,080 Speaker 1: for the budget and past the Democrats refusal to approve 1075 00:59:55,160 --> 00:59:58,960 Speaker 1: the money is another. And Matt ray No untweeted, my 1076 00:59:59,040 --> 01:00:01,320 Speaker 1: wife put the blame or the unfolded laundry on me, 1077 01:00:01,520 --> 01:00:04,200 Speaker 1: but it takes two to tango me forgetting to fold 1078 01:00:04,200 --> 01:00:06,760 Speaker 1: the laundry is one reason, but her going into that 1079 01:00:06,880 --> 01:00:09,120 Speaker 1: room when I explicitly said, Hey, don't go in there 1080 01:00:09,200 --> 01:00:14,320 Speaker 1: yet and noticing the unfolded laundry is the other. Uh So, yeah, 1081 01:00:15,360 --> 01:00:19,800 Speaker 1: in your faces, the both sides is um funk off 1082 01:00:19,840 --> 01:00:22,840 Speaker 1: a p funk off. All of you with the both 1083 01:00:22,880 --> 01:00:26,640 Speaker 1: sides is um. The NPRS podcast was doing some of 1084 01:00:26,680 --> 01:00:29,200 Speaker 1: that ship today. It's just like, Yeah, they just always 1085 01:00:29,240 --> 01:00:32,240 Speaker 1: like want to make it. They don't feel okay unless 1086 01:00:32,280 --> 01:00:35,439 Speaker 1: they're being like, but on the other hand, Democrats really 1087 01:00:35,600 --> 01:00:38,160 Speaker 1: blew it with it, which Democrats did, but it just 1088 01:00:38,320 --> 01:00:42,000 Speaker 1: feels like they always like they feel like they need 1089 01:00:42,120 --> 01:00:44,440 Speaker 1: to do that, and it's just like that we're not 1090 01:00:44,640 --> 01:00:47,640 Speaker 1: in ordinary times. In ordinary times fine, but we are 1091 01:00:48,160 --> 01:00:52,440 Speaker 1: under a terrifying regime. All right. You can find me 1092 01:00:52,480 --> 01:00:54,640 Speaker 1: on Twitter a Jack Underscore O Brian. You can come 1093 01:00:54,720 --> 01:00:59,560 Speaker 1: see me in San Francisco with Miles on the nineteenth ye. 1094 01:01:00,280 --> 01:01:03,000 Speaker 1: You can find us on Twitter at Daily's Eye Guys 1095 01:01:03,000 --> 01:01:04,920 Speaker 1: for at d Daily's Out Guys. On Instagram, we have 1096 01:01:05,000 --> 01:01:08,360 Speaker 1: Facebook pam page and a website, dailies at Guys dot com, 1097 01:01:08,440 --> 01:01:11,120 Speaker 1: where we post our episodes and our foot notes where 1098 01:01:11,160 --> 01:01:12,800 Speaker 1: we link off to the information that we talked about 1099 01:01:12,800 --> 01:01:15,320 Speaker 1: in today's episode, as well as the song we ride 1100 01:01:15,320 --> 01:01:18,240 Speaker 1: out on. Miles. What song are we going to write 1101 01:01:18,280 --> 01:01:20,040 Speaker 1: out on? You know, just because we're just talk about science, 1102 01:01:20,080 --> 01:01:22,320 Speaker 1: you know, the facts, what's real is not business from 1103 01:01:22,480 --> 01:01:26,160 Speaker 1: the heliocentrics, because we can't agree when most of us 1104 01:01:26,200 --> 01:01:29,240 Speaker 1: can agree that, uh, we are in with a helicit 1105 01:01:29,360 --> 01:01:33,520 Speaker 1: centric solar system, yes, right and verse. The whole universe 1106 01:01:33,840 --> 01:01:36,960 Speaker 1: travels around our or something. And anybody who says otherwise 1107 01:01:37,360 --> 01:01:41,320 Speaker 1: is around my son, right, everything revolves around my set. 1108 01:01:41,560 --> 01:01:43,960 Speaker 1: And this is called Spacetime girl. Uh, you know, just 1109 01:01:44,040 --> 01:01:47,120 Speaker 1: like just a good track, good funky players on here. 1110 01:01:47,680 --> 01:01:49,640 Speaker 1: Uh you know, just just just get us through this week, 1111 01:01:50,120 --> 01:01:52,440 Speaker 1: because I say pretty much every day from every song. 1112 01:01:52,520 --> 01:01:57,680 Speaker 1: But yeah, Heliocentrics Spacetime ahead of this, I'm picturing like, 1113 01:01:57,920 --> 01:02:01,520 Speaker 1: uh my honey pot sugar baby, but like talking about 1114 01:02:01,560 --> 01:02:04,400 Speaker 1: space times, right, is that what it is? No, not 1115 01:02:04,560 --> 01:02:07,600 Speaker 1: at all damage. You know. It was a little fun fact. 1116 01:02:07,640 --> 01:02:09,360 Speaker 1: When I first started playing bass, that was one of 1117 01:02:09,400 --> 01:02:11,840 Speaker 1: the first basselines I really tried to master. It's one 1118 01:02:11,840 --> 01:02:13,520 Speaker 1: of the best. It's one of the classics. You know, 1119 01:02:13,600 --> 01:02:16,560 Speaker 1: when you really get it going, don't don't and you're 1120 01:02:16,560 --> 01:02:19,680 Speaker 1: by yourself. Yeah, because it's been a little poor taking 1121 01:02:19,760 --> 01:02:21,720 Speaker 1: right there. It's another one Bites the Dust and then 1122 01:02:21,840 --> 01:02:25,400 Speaker 1: that are the two greatest basics and Billy Jean all right, 1123 01:02:25,520 --> 01:02:27,960 Speaker 1: well we are going to ride out on that. We 1124 01:02:28,040 --> 01:02:30,840 Speaker 1: will be back tomorrow because it is a daily podcast. 1125 01:02:30,960 --> 01:03:08,240 Speaker 1: We talk to you guys. Then sept the Chos