1 00:00:00,160 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:08,559 Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from 3 00:00:08,600 --> 00:00:17,759 Speaker 1: this week, all edited together into one NonStop infotainment last stravaganza. 4 00:00:18,360 --> 00:00:23,919 Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist. 5 00:00:24,320 --> 00:00:28,920 Speaker 1: What is something you think is underrated? Underrated? Just to 6 00:00:29,200 --> 00:00:31,480 Speaker 1: kind of, you know, live in the season right now, 7 00:00:32,560 --> 00:00:36,400 Speaker 1: brackets about other things. That is my favorite thing to 8 00:00:36,400 --> 00:00:38,199 Speaker 1: do around this time, because you know it's around the 9 00:00:38,240 --> 00:00:41,159 Speaker 1: final four. Everyone makes brackets. I just did a serial bracket. 10 00:00:41,479 --> 00:00:44,680 Speaker 1: Bleacher Report put out a trash serial bracket. Their seating 11 00:00:44,760 --> 00:00:46,839 Speaker 1: was trash, the serials they chose with trash, but I 12 00:00:46,880 --> 00:00:49,520 Speaker 1: still played out their bracket. And it seems like everyone 13 00:00:49,520 --> 00:00:51,800 Speaker 1: agreed with me. How many serials they start with, Oh 14 00:00:51,880 --> 00:00:54,120 Speaker 1: my gosh, are you ready to hear this bracket? Look? Well, 15 00:00:54,160 --> 00:00:55,880 Speaker 1: just I'll try and do it super Please tell me 16 00:00:55,920 --> 00:00:59,680 Speaker 1: like the top fifteen, Top fifteen, it's it's it's hyper speed, 17 00:01:00,160 --> 00:01:02,200 Speaker 1: super trap. Okay, let me just pull it up real quick. 18 00:01:02,800 --> 00:01:05,000 Speaker 1: Is it in a lead eight or is it now? 19 00:01:05,040 --> 00:01:08,119 Speaker 1: It's the best Cereal bracket Number one so, uh, number 20 00:01:08,120 --> 00:01:12,000 Speaker 1: one seed on the left side is Lucky Charms. Number 21 00:01:12,040 --> 00:01:15,160 Speaker 1: two is honey Nut Cheerios. Number two is honey nut 22 00:01:15,240 --> 00:01:20,119 Speaker 1: Cheerios number I mean not a number two, can't say no. 23 00:01:20,280 --> 00:01:23,080 Speaker 1: And then the snub. Number three is cinnamon toast Crunch, 24 00:01:23,120 --> 00:01:27,160 Speaker 1: which is cereals. Uh four is apple Jack, so that's 25 00:01:27,160 --> 00:01:28,720 Speaker 1: on the left side. On the right side. Number one 26 00:01:28,760 --> 00:01:30,600 Speaker 1: is frosted Flakes. I can, I can rock with that. 27 00:01:30,959 --> 00:01:34,800 Speaker 1: Number two captains crunch regular Captain Crunch. What are you smoking? 28 00:01:36,080 --> 00:01:38,360 Speaker 1: Number three? You need some crunch berries? Is that what 29 00:01:38,400 --> 00:01:40,400 Speaker 1: you're saying? This is this is this is a gonna 30 00:01:40,400 --> 00:01:43,080 Speaker 1: be divisive. But I'm thinking it's too high honey Smacks, 31 00:01:45,240 --> 00:01:47,440 Speaker 1: So yeah, I knew it. I knew some people rock 32 00:01:47,520 --> 00:01:50,960 Speaker 1: for honey Smacks. It's not a number three seeds. I 33 00:01:51,000 --> 00:01:54,080 Speaker 1: love honey Smacks. Number four is Coco Posts, but pretty 34 00:01:54,160 --> 00:01:56,800 Speaker 1: much I had Fruity Pebbles take it because Fruity Pebbles 35 00:01:56,840 --> 00:01:59,040 Speaker 1: was a six seed and it beat out honey Smacks 36 00:01:59,080 --> 00:02:02,200 Speaker 1: for me. So that's already going to be right. And 37 00:02:02,240 --> 00:02:05,560 Speaker 1: there's not enough separation in the world of cereals for 38 00:02:05,600 --> 00:02:08,720 Speaker 1: it to be analogous to the n C Double A Tournament. 39 00:02:08,800 --> 00:02:11,480 Speaker 1: I mean yeah, because you like if you have fruity Pebbles, 40 00:02:11,480 --> 00:02:14,760 Speaker 1: and cocoa puffs. You can't have cocoa crispies or you know, 41 00:02:14,800 --> 00:02:18,560 Speaker 1: also rice crispies treats. Yeah, dude, that's crispy treats. Cereal 42 00:02:18,600 --> 00:02:20,600 Speaker 1: needs to be in there, right, And I would even 43 00:02:20,600 --> 00:02:24,840 Speaker 1: offer kicks like the eight seed, which is the equivalent 44 00:02:24,880 --> 00:02:28,920 Speaker 1: of a sixteen seed. They did make that intentionally shitty 45 00:02:28,960 --> 00:02:33,760 Speaker 1: because it's wheaties and crispy Yeah right, just straight rice 46 00:02:33,840 --> 00:02:38,200 Speaker 1: crisp Yeah right, yeah, that's that's what we're looking out for. Yeah, 47 00:02:38,200 --> 00:02:41,400 Speaker 1: that's terrible, man. Yeah, sp Nation. I said bluecher Report first, 48 00:02:41,400 --> 00:02:46,000 Speaker 1: but that was Nation as nation. Also very lazy like you, 49 00:02:46,000 --> 00:02:48,679 Speaker 1: you couldn't come up with sixty four cereals. So this 50 00:02:48,760 --> 00:02:50,160 Speaker 1: is what I used to do for a living. So 51 00:02:50,200 --> 00:02:54,360 Speaker 1: I'm like, come on, guys, right, there's so many stuff 52 00:02:54,480 --> 00:02:59,320 Speaker 1: cereals that could have come up with, just so random. Yeah. Also, man, 53 00:02:59,320 --> 00:03:06,120 Speaker 1: petographs in turn a little bit graphics wame all right. 54 00:03:06,680 --> 00:03:11,120 Speaker 1: Speaking of a different perspective, Papa John's has replaced Papa 55 00:03:11,240 --> 00:03:15,519 Speaker 1: John himself Papa John Schnattery ear shattery or or whatever 56 00:03:15,639 --> 00:03:20,440 Speaker 1: whatever the funk his name is. Are you okay my voice? 57 00:03:20,480 --> 00:03:23,240 Speaker 1: I will say yeah that I'm advocating for the listeners 58 00:03:23,240 --> 00:03:25,639 Speaker 1: who listened to you every day and go Dailey, that 59 00:03:25,720 --> 00:03:27,480 Speaker 1: guys was mad scuffed about it. You know, I was 60 00:03:27,480 --> 00:03:30,160 Speaker 1: gonna let you finish it. We're screaming of us last night. Yeah, no, 61 00:03:30,320 --> 00:03:33,760 Speaker 1: I have a cold. Oh alright, if you want to 62 00:03:33,800 --> 00:03:38,840 Speaker 1: go over here, it's not it's not anything cool. My 63 00:03:39,560 --> 00:03:42,920 Speaker 1: two year old sneezed into my mouth. You just tell 64 00:03:42,960 --> 00:03:44,640 Speaker 1: people you ate a bunch of ass. That's a lot 65 00:03:44,680 --> 00:03:48,800 Speaker 1: cooler and a bunch of as my throat, My throat 66 00:03:51,440 --> 00:03:56,400 Speaker 1: sounds like Miles David. Yeah, that's why Miles Davis. I 67 00:03:56,400 --> 00:04:01,560 Speaker 1: don't much as I'm sorry, but yes, Papa John, Papa 68 00:04:01,680 --> 00:04:09,880 Speaker 1: John's has replaced John Papa himself with Shack Shaquille O'Neil. Yes, 69 00:04:10,160 --> 00:04:12,880 Speaker 1: you know, before you finished that, I was just gonna 70 00:04:12,920 --> 00:04:14,760 Speaker 1: be because I didn't know this was coming. I was 71 00:04:14,800 --> 00:04:17,560 Speaker 1: gonna be like, you should replace it with a black guy. 72 00:04:19,240 --> 00:04:22,360 Speaker 1: I mean, he's rolling in his grave. Great pr move. 73 00:04:22,480 --> 00:04:26,360 Speaker 1: Replaced the racist white guy with lovable, gigantic black dude. 74 00:04:26,760 --> 00:04:31,000 Speaker 1: Uh and you know NBA Hall of Famer. But he's 75 00:04:31,040 --> 00:04:34,680 Speaker 1: so he's not he's just like the like a brand ambassador. 76 00:04:35,120 --> 00:04:38,599 Speaker 1: He's going to be a brand and also joining the 77 00:04:38,640 --> 00:04:41,719 Speaker 1: board of directors. Yeah, so like it's it's kind of 78 00:04:41,839 --> 00:04:44,040 Speaker 1: it's more than just like he's in one of our 79 00:04:44,120 --> 00:04:48,000 Speaker 1: commercials right right right to put him in the company. Man, 80 00:04:48,040 --> 00:04:50,720 Speaker 1: it's too much. You're doing too much with the want 81 00:04:51,760 --> 00:04:55,919 Speaker 1: too small. Keep coming into sweet. I think that's what 82 00:04:56,120 --> 00:05:00,000 Speaker 1: I hope. I mean they've solved their their pr problem. 83 00:05:00,040 --> 00:05:03,440 Speaker 1: I think you saw their pizza problem. Ship's too sweet. Yeah. 84 00:05:04,800 --> 00:05:07,400 Speaker 1: With me, I'm always dunking it in that garlic, so 85 00:05:07,760 --> 00:05:11,320 Speaker 1: one thing I will always give and Shack, Yeah, that 86 00:05:11,560 --> 00:05:14,680 Speaker 1: garlic sauce is slaps. And that's why it hurt to 87 00:05:14,720 --> 00:05:16,839 Speaker 1: have this trash dude in charge, because I was like, 88 00:05:16,880 --> 00:05:21,400 Speaker 1: that's the one thing y'all got, right now, go go 89 00:05:21,480 --> 00:05:26,120 Speaker 1: ahead and and and smash Shack Jack. Jack is widely 90 00:05:26,160 --> 00:05:29,200 Speaker 1: speculating about Shack's health. Ow too, I just worry about 91 00:05:29,200 --> 00:05:32,400 Speaker 1: his health. I don't know, man's he's he's jam now too, 92 00:05:32,600 --> 00:05:35,240 Speaker 1: what's that he's like doing dub stuff? Dude? I love 93 00:05:35,560 --> 00:05:38,520 Speaker 1: Shack Diesel the DJ. But yeah, I mean, what he 94 00:05:38,640 --> 00:05:40,120 Speaker 1: was what do we say? And you said it in 95 00:05:40,160 --> 00:05:42,320 Speaker 1: two thousand and four he was what he was three 96 00:05:42,440 --> 00:05:45,880 Speaker 1: seventy I think they said my god three. So yeah, 97 00:05:46,040 --> 00:05:49,240 Speaker 1: I mean players don't necessarily tell the truth on those 98 00:05:49,520 --> 00:05:53,120 Speaker 1: like on that publicly available information, and the dude has 99 00:05:53,880 --> 00:05:57,360 Speaker 1: blown up since then. So I'm just I'm just saying, 100 00:05:57,760 --> 00:06:01,400 Speaker 1: you gotta watch out for your health, man. Yeah, please don't, 101 00:06:01,440 --> 00:06:05,120 Speaker 1: you know, please don't do Andre the Giant on us exactly. 102 00:06:05,560 --> 00:06:08,920 Speaker 1: But you know, at least he chose to go with 103 00:06:09,040 --> 00:06:12,120 Speaker 1: the pizza brand that has a candy bars worth of 104 00:06:12,160 --> 00:06:15,680 Speaker 1: sugar piece. But it's got that sauce. That's the one 105 00:06:15,720 --> 00:06:18,640 Speaker 1: thing again that's also good for your health. Yeah, that's 106 00:06:18,640 --> 00:06:24,760 Speaker 1: just like Margarine Uhvor, what is something you think is underrated? 107 00:06:25,440 --> 00:06:28,920 Speaker 1: The Wendy Williams showy Um, I thought her coverage of 108 00:06:29,279 --> 00:06:33,039 Speaker 1: the cheating scandal was the best of anybody. I actually 109 00:06:33,080 --> 00:06:34,840 Speaker 1: think she should be on Late Night because I think 110 00:06:34,839 --> 00:06:36,440 Speaker 1: she just rides the line of like Edgy or not. 111 00:06:36,480 --> 00:06:38,400 Speaker 1: And also she did this whole thing this week where 112 00:06:38,440 --> 00:06:39,760 Speaker 1: she was like, hey, I need to be honest with 113 00:06:39,760 --> 00:06:41,719 Speaker 1: you guys. I've been living in a sober house and 114 00:06:41,839 --> 00:06:43,200 Speaker 1: I go right, And I just thought that was great. 115 00:06:43,480 --> 00:06:46,960 Speaker 1: I get most of my news news from PBS News 116 00:06:47,000 --> 00:06:52,000 Speaker 1: Hour and all my pop culture news from her. I think, yeah, exactly. Yeah, 117 00:06:52,640 --> 00:06:54,640 Speaker 1: I mean, yeah, she's very open and honest. I remember 118 00:06:54,680 --> 00:06:56,800 Speaker 1: she was like, who hasn't smoked a woola? And I 119 00:06:56,880 --> 00:07:00,240 Speaker 1: was like, okay, Wendy, what is the rolling up act 120 00:07:00,240 --> 00:07:03,440 Speaker 1: in your blunts? There were some actress I can't remember 121 00:07:03,480 --> 00:07:05,320 Speaker 1: who it was, but she does say things that certainly 122 00:07:05,320 --> 00:07:07,719 Speaker 1: cross the line order just bizarre, Like she was profounding 123 00:07:07,760 --> 00:07:10,240 Speaker 1: someone who had just been diagnosed with diabetes, and she goes, 124 00:07:10,280 --> 00:07:11,880 Speaker 1: are you mad that they have diabetes? I mean, I 125 00:07:11,880 --> 00:07:13,160 Speaker 1: don't know if I'm mad or not. I don't think 126 00:07:13,160 --> 00:07:18,680 Speaker 1: I'm mad, And it was like, would you be at 127 00:07:18,760 --> 00:07:21,320 Speaker 1: keep thinking out loud, Wendy. I love her opinions, and 128 00:07:21,360 --> 00:07:24,040 Speaker 1: I don't know, I think she's She's very refreshing. She 129 00:07:24,160 --> 00:07:26,920 Speaker 1: stays she's an outside of the way like Sternez, like 130 00:07:27,040 --> 00:07:31,920 Speaker 1: just tries to stay outside of Yeah, yeah, yeah, that's awesome. Alright. Well, 131 00:07:31,960 --> 00:07:33,880 Speaker 1: we always like to check in with the box office 132 00:07:34,400 --> 00:07:38,880 Speaker 1: after a weekend, and the results are in. Uh. Jordan 133 00:07:39,000 --> 00:07:44,120 Speaker 1: Peel's new movie US is the biggest original live action 134 00:07:44,200 --> 00:07:47,760 Speaker 1: movie since Avatar, so like, wait, what do you mean? 135 00:07:48,040 --> 00:07:51,080 Speaker 1: It made seventy one million dollars, which is the most 136 00:07:51,200 --> 00:07:53,720 Speaker 1: of an opening weekend for a movie that isn't like 137 00:07:54,080 --> 00:07:57,800 Speaker 1: existing property, like isn't like one of the Marvel movies 138 00:07:57,920 --> 00:08:01,440 Speaker 1: or something, and isn't like a Pixar movie basically. So 139 00:08:02,160 --> 00:08:04,920 Speaker 1: Avatar was the last one that just blew up like that, 140 00:08:05,120 --> 00:08:08,600 Speaker 1: and it's crazy to think that, like Jordan's peel on 141 00:08:08,720 --> 00:08:10,800 Speaker 1: his well, I don't know if this is technically his 142 00:08:10,840 --> 00:08:12,560 Speaker 1: second movie, but on one of his first, you know, 143 00:08:12,600 --> 00:08:17,080 Speaker 1: I think it is okay. Um is like people are 144 00:08:17,080 --> 00:08:18,920 Speaker 1: going to see a movie based on who the director. 145 00:08:19,720 --> 00:08:22,880 Speaker 1: It's incredible and it's also funny. I haven't seen yet. 146 00:08:22,880 --> 00:08:25,080 Speaker 1: I'm gonna go see this week, but like how people 147 00:08:25,040 --> 00:08:27,440 Speaker 1: are already trying like everyone is like it's just a 148 00:08:27,440 --> 00:08:30,920 Speaker 1: horror movie? Is get Out? Yes? Get Out was a 149 00:08:30,920 --> 00:08:33,800 Speaker 1: little more psychologically involved. They're a little like and then 150 00:08:33,840 --> 00:08:36,400 Speaker 1: all the people trying to like pars through like fucking 151 00:08:36,440 --> 00:08:39,040 Speaker 1: bright Bart was like, this isn't actually a great warning 152 00:08:39,040 --> 00:08:42,040 Speaker 1: against socialism? What? And He's like and if that family 153 00:08:42,200 --> 00:08:45,319 Speaker 1: just had guns, the problems would be solved. But I'm 154 00:08:45,320 --> 00:08:47,640 Speaker 1: not even sure what that means. But I guess everyone's 155 00:08:47,640 --> 00:08:50,200 Speaker 1: taking into it what they needed to get out of it. 156 00:08:50,640 --> 00:08:53,520 Speaker 1: I just say he um. After get Out, I I 157 00:08:53,640 --> 00:08:56,160 Speaker 1: started expecting more from my horror movies. I haven't seen 158 00:08:56,240 --> 00:08:58,360 Speaker 1: us yet, but I did start, like I remember seeing 159 00:08:58,400 --> 00:09:00,320 Speaker 1: a quiet place and being like, but what did it mean? 160 00:09:01,280 --> 00:09:02,600 Speaker 1: You know what I mean? And I've never had that 161 00:09:02,600 --> 00:09:05,079 Speaker 1: expectation before we get Out was like that, go ahead, yeah, 162 00:09:05,120 --> 00:09:07,160 Speaker 1: because I think that's what made it even better is 163 00:09:07,160 --> 00:09:08,599 Speaker 1: that it worked on you more than just like that, 164 00:09:09,200 --> 00:09:13,440 Speaker 1: what was that You're like, yeah, this is a fucked like, 165 00:09:13,679 --> 00:09:16,720 Speaker 1: this is a headspace. It was the smartest movie that 166 00:09:16,840 --> 00:09:18,880 Speaker 1: came out that year, and I don't think a horror 167 00:09:18,880 --> 00:09:21,840 Speaker 1: movie had done that because horror movies are always so 168 00:09:22,000 --> 00:09:25,160 Speaker 1: just like Visceral, like the best horror movie at that point, 169 00:09:25,200 --> 00:09:27,240 Speaker 1: I think, by a lot of people's estimation was the 170 00:09:27,280 --> 00:09:30,360 Speaker 1: exer So, I don't know, did you see Tuista's Oh 171 00:09:30,480 --> 00:09:35,680 Speaker 1: right right, yeah, great film where those kids with Olivia 172 00:09:35,720 --> 00:09:37,440 Speaker 1: wild I think was in then Josh to Mel where 173 00:09:37,440 --> 00:09:40,280 Speaker 1: they're like on vacation in Brazil. By the way, Olivia 174 00:09:40,320 --> 00:09:45,280 Speaker 1: Wilde made her directorial debut at Sundance or no, not 175 00:09:45,320 --> 00:09:48,440 Speaker 1: Sundance at south By with a movie called book Smart 176 00:09:48,480 --> 00:09:51,600 Speaker 1: that is supposed to be really really good. Okay, somewhere 177 00:09:51,600 --> 00:09:54,200 Speaker 1: people are doing their things, Yeah, yeah, yeah, but yeah, 178 00:09:54,440 --> 00:09:59,240 Speaker 1: US is not only critically acclaimed, but it is just 179 00:09:59,280 --> 00:10:04,160 Speaker 1: a huge, huge opening and a writer Jam McNabb was 180 00:10:04,200 --> 00:10:07,480 Speaker 1: pointing out that like all of the media's headlines were 181 00:10:07,520 --> 00:10:11,360 Speaker 1: like shocking how much money it made, because I guess 182 00:10:11,360 --> 00:10:14,920 Speaker 1: all the estimates had it closer to like forty million dollars, 183 00:10:14,960 --> 00:10:18,240 Speaker 1: maybe fifty million, and they usually don't go They're usually 184 00:10:18,240 --> 00:10:20,400 Speaker 1: not off by more than like a couple of million 185 00:10:20,480 --> 00:10:24,360 Speaker 1: here and there, and so it was a big surprise 186 00:10:24,440 --> 00:10:28,120 Speaker 1: apparently to forecasters. But um, he was saying that you 187 00:10:28,160 --> 00:10:32,040 Speaker 1: saw the same headlines with Black Panther and Girls Trip 188 00:10:32,240 --> 00:10:35,560 Speaker 1: and other movies that I don't know, like there's something 189 00:10:36,000 --> 00:10:44,200 Speaker 1: that is surprising to Hollywood, some some strange similarity between 190 00:10:44,240 --> 00:10:49,280 Speaker 1: these movies with black protagonists that Hollywood prognosticators are always like, 191 00:10:49,400 --> 00:10:54,200 Speaker 1: what the fuck just happens? It's insane because I actually 192 00:10:54,200 --> 00:10:56,360 Speaker 1: think they don't see the path because they did. You're right, 193 00:10:56,360 --> 00:10:58,520 Speaker 1: as the headline every time it is like who knew? 194 00:10:58,520 --> 00:11:02,160 Speaker 1: It's like we all did, We've known. Arouse, more representation 195 00:11:02,559 --> 00:11:06,280 Speaker 1: the movies, people will come out to see them. They're like, 196 00:11:06,320 --> 00:11:08,800 Speaker 1: oh wow, a thing that I can relate to. Yeah, 197 00:11:08,840 --> 00:11:11,040 Speaker 1: I'm there, even if it's a horr. There's always so 198 00:11:11,120 --> 00:11:14,280 Speaker 1: much fucking pressure for any movie that has anything to 199 00:11:14,280 --> 00:11:16,280 Speaker 1: do with any marginalized group of like this better be 200 00:11:16,320 --> 00:11:18,560 Speaker 1: a hit, and then it isn't. It didn't matter. So 201 00:11:18,559 --> 00:11:21,640 Speaker 1: hopefully now they see a fucking pattern. Yeah, you would 202 00:11:21,640 --> 00:11:25,520 Speaker 1: think so. And yeah, we talked just with the Sony hacks. 203 00:11:25,600 --> 00:11:29,839 Speaker 1: You saw these emails with producers talking about how you 204 00:11:29,840 --> 00:11:34,120 Speaker 1: shouldn't green light the next Denzel movie because black doesn't 205 00:11:34,160 --> 00:11:37,160 Speaker 1: travel and ship. Like there's all these like rules of 206 00:11:37,280 --> 00:11:42,560 Speaker 1: thumb about like international, like internationally, Denzel Ashton movies aren't 207 00:11:42,559 --> 00:11:45,800 Speaker 1: going to do very well because they're racist. Not us. No, 208 00:11:46,280 --> 00:11:48,520 Speaker 1: Denzel is one of my favorites. Oh my god, you know, 209 00:11:48,559 --> 00:11:50,920 Speaker 1: I actually I wrote him in for president, right exactly. 210 00:11:50,920 --> 00:11:53,120 Speaker 1: I wouldn't know that I would have voted for Obama 211 00:11:53,120 --> 00:11:57,640 Speaker 1: a third time, but he um. Yeah, there's all these 212 00:11:57,720 --> 00:12:00,640 Speaker 1: like just shitty, like behind the scenes rules of thumb 213 00:12:00,679 --> 00:12:03,360 Speaker 1: that are based on nothing. And then now here we 214 00:12:03,440 --> 00:12:08,320 Speaker 1: see that when you actually make movies by people of 215 00:12:08,320 --> 00:12:12,800 Speaker 1: color starring people of color, people actually go see them, 216 00:12:12,360 --> 00:12:17,160 Speaker 1: right Umm. Yeah, and look like Jordan peele Man is 217 00:12:17,240 --> 00:12:20,680 Speaker 1: out here. Yeah. Yeah. The New Yorker called it a 218 00:12:20,800 --> 00:12:25,679 Speaker 1: towering cinematic achievement. My god, I can't wait. The New 219 00:12:25,760 --> 00:12:28,920 Speaker 1: Yorker never likes anything. They're always and then when they 220 00:12:28,920 --> 00:12:30,720 Speaker 1: do at the end, they're like, I don't know if 221 00:12:30,720 --> 00:12:37,360 Speaker 1: i'd bother. Okay, Anthony Lane is my favorite prose bitch 222 00:12:37,400 --> 00:12:44,560 Speaker 1: of all time. It's so so snark, you know. Alright, guys, 223 00:12:44,640 --> 00:12:49,560 Speaker 1: let's talk about AI the movie. No, not the movie. 224 00:12:50,200 --> 00:12:52,520 Speaker 1: I don't really have much to add them. There is 225 00:12:52,800 --> 00:12:57,920 Speaker 1: a AI that like is using machine learning to basically 226 00:12:58,160 --> 00:13:01,400 Speaker 1: predict when people are going to die. So a group 227 00:13:01,400 --> 00:13:05,680 Speaker 1: of scientists, I mean, this makes sense if you've ever 228 00:13:05,760 --> 00:13:09,240 Speaker 1: done a life insurance policy, Like, you know, there's an 229 00:13:09,400 --> 00:13:13,840 Speaker 1: entire industry that is just devoted and like constantly updating 230 00:13:13,840 --> 00:13:17,120 Speaker 1: its methods of trying to find out when you will die, 231 00:13:17,280 --> 00:13:19,520 Speaker 1: like most accurately. And they can make a lot of 232 00:13:19,559 --> 00:13:23,679 Speaker 1: money on like adapting, you know what, how they evaluate 233 00:13:23,720 --> 00:13:26,920 Speaker 1: the data that you give them. So scientists in the 234 00:13:27,040 --> 00:13:31,920 Speaker 1: UK took five hundred thousand people between the year two 235 00:13:31,960 --> 00:13:36,360 Speaker 1: thousand and six and two thousand sixteen and fed a 236 00:13:36,400 --> 00:13:40,240 Speaker 1: bunch of different variables that they were able to get 237 00:13:40,280 --> 00:13:44,920 Speaker 1: from those people into a bunch of different systems. Uh, 238 00:13:44,960 --> 00:13:48,240 Speaker 1: and then ask those systems how likely were those people 239 00:13:48,520 --> 00:13:51,400 Speaker 1: to pass away from two thousand and six to two 240 00:13:51,440 --> 00:13:57,120 Speaker 1: thousand sixteen, And this algorithm was able to identify the 241 00:13:57,160 --> 00:14:01,800 Speaker 1: people who would die with seventy six percent accuracy. So 242 00:14:02,000 --> 00:14:03,640 Speaker 1: and told him how many people died at the end 243 00:14:03,640 --> 00:14:05,400 Speaker 1: of that tenure. At the end of the tenure sent 244 00:14:05,520 --> 00:14:08,920 Speaker 1: it was fourteen thousand five people, which is not which 245 00:14:08,960 --> 00:14:13,440 Speaker 1: is just like right, they died primarily and answer heart disease, 246 00:14:13,480 --> 00:14:17,880 Speaker 1: respiratory diseases, and so it's it's really interesting for a 247 00:14:17,920 --> 00:14:20,800 Speaker 1: couple of reasons. First of all, that's insanely like all 248 00:14:20,880 --> 00:14:25,800 Speaker 1: the you know models that doctors and UH insurance companies 249 00:14:25,840 --> 00:14:27,880 Speaker 1: have been using up to this point are usually below 250 00:14:27,920 --> 00:14:31,800 Speaker 1: fifty accuracy, and so they got up to seventy six percent. 251 00:14:32,560 --> 00:14:36,240 Speaker 1: And they also said that the the variables that the 252 00:14:36,320 --> 00:14:41,040 Speaker 1: AI was able to determine, UH like we're the most 253 00:14:41,400 --> 00:14:44,520 Speaker 1: beneficial to determining if you were gonna live or die 254 00:14:44,680 --> 00:14:48,920 Speaker 1: were not the ones that the other models emphasized. So 255 00:14:48,960 --> 00:14:53,040 Speaker 1: the other models looked at age, gender, smoking history, prior 256 00:14:53,160 --> 00:14:57,000 Speaker 1: cancer diagnosis, and another one of the other models looked 257 00:14:57,000 --> 00:15:00,320 Speaker 1: at body fat percentage, waste circumference, the amount of fruit 258 00:15:00,360 --> 00:15:04,160 Speaker 1: and vegetables that people ate, and skin tone and this 259 00:15:04,480 --> 00:15:09,400 Speaker 1: AI determined that it was mostly useful to know exposure 260 00:15:09,440 --> 00:15:13,880 Speaker 1: to job related hazards, air pollution, alcohol intake, and the 261 00:15:13,960 --> 00:15:18,120 Speaker 1: use of certain medications. Yeah, those were those are the 262 00:15:18,200 --> 00:15:21,520 Speaker 1: top Wow, those are those from the traditional models where 263 00:15:21,520 --> 00:15:24,680 Speaker 1: they're like that's sound. Yeah, those are the things that 264 00:15:24,760 --> 00:15:28,560 Speaker 1: jumped out as like that. AI determined that that would 265 00:15:28,640 --> 00:15:32,240 Speaker 1: tell you how likely people were, did I it's strange 266 00:15:32,280 --> 00:15:37,080 Speaker 1: that the survey size was so massive, right, I think 267 00:15:37,120 --> 00:15:39,600 Speaker 1: they I think they picked a massive number in order 268 00:15:39,640 --> 00:15:43,200 Speaker 1: to make themselves look accurate. Right, Like, if you told me, 269 00:15:43,240 --> 00:15:46,360 Speaker 1: here's fifty people guests all their favorite colors, I probably 270 00:15:46,400 --> 00:15:48,920 Speaker 1: wouldn't get I probably wouldn't do that well. But if 271 00:15:48,920 --> 00:15:51,880 Speaker 1: you told me, here's five thousand people guess our favorite 272 00:15:51,920 --> 00:15:55,280 Speaker 1: color and I picked blue, right, I probably have a 273 00:15:55,360 --> 00:15:58,320 Speaker 1: much more impressive number. But when you have a set 274 00:15:58,360 --> 00:16:01,520 Speaker 1: of data set that big and you can repeat it over, like, 275 00:16:01,680 --> 00:16:04,640 Speaker 1: what so seventy six percent of fourteen thousand, that's pretty 276 00:16:04,760 --> 00:16:08,080 Speaker 1: that's pretty good. But here's what I mean. It's it's 277 00:16:08,360 --> 00:16:10,800 Speaker 1: death is all like individual to us. But then they 278 00:16:10,840 --> 00:16:13,200 Speaker 1: do a sample size that's so big that it's no 279 00:16:13,240 --> 00:16:16,920 Speaker 1: longer about individuals, it's about a population. Yeah, you know 280 00:16:16,920 --> 00:16:20,040 Speaker 1: what I mean, It's like it's so bizarre. Yeah, and 281 00:16:20,120 --> 00:16:22,160 Speaker 1: who were these five thousand people that said, yeah, I 282 00:16:22,200 --> 00:16:24,440 Speaker 1: want to know when I'm going to die? They agree? 283 00:16:24,680 --> 00:16:27,880 Speaker 1: So no, they were just giving. It was basically they 284 00:16:28,160 --> 00:16:31,240 Speaker 1: agreed to be part of a health study that snartly 285 00:16:31,240 --> 00:16:33,440 Speaker 1: I don't like. Yeah, I mean I don't think they 286 00:16:33,440 --> 00:16:36,000 Speaker 1: were identified or anything. They called him out there like, 287 00:16:36,000 --> 00:16:39,440 Speaker 1: hey you did yet, Well you might want to get 288 00:16:39,480 --> 00:16:42,000 Speaker 1: that bucket list going, right, But I think that's where 289 00:16:42,000 --> 00:16:44,960 Speaker 1: you look at that seventy accuracy. I wonder how much 290 00:16:45,240 --> 00:16:48,160 Speaker 1: just sort of you know what insurance companies called acts 291 00:16:48,160 --> 00:16:51,200 Speaker 1: of God or something. Yeah, I mean one of the 292 00:16:51,320 --> 00:16:55,360 Speaker 1: things that was unexpectedly predictive was on the job hazards, 293 00:16:55,400 --> 00:16:57,400 Speaker 1: Like if you have a really dangerous job, if you're 294 00:16:57,440 --> 00:17:01,680 Speaker 1: like working in a podcastruction in a construction place, like 295 00:17:02,080 --> 00:17:04,840 Speaker 1: I'm sure there are you know, you're exposing yourself to 296 00:17:05,240 --> 00:17:08,600 Speaker 1: a ton of different opportunities to have a act of 297 00:17:08,680 --> 00:17:13,280 Speaker 1: God or accident type thing or nailed then. Yeah, but 298 00:17:13,280 --> 00:17:15,680 Speaker 1: I mean while you're trying to shoot some cans like actuaries, 299 00:17:15,720 --> 00:17:17,440 Speaker 1: I do think this is going to be a place 300 00:17:17,480 --> 00:17:21,160 Speaker 1: that AI is going to stun us within our lifetime 301 00:17:21,200 --> 00:17:26,119 Speaker 1: because actuaries are just constantly iterating on this like that 302 00:17:26,280 --> 00:17:30,760 Speaker 1: is there's an entire huge, like very you know, wealthy 303 00:17:30,840 --> 00:17:35,000 Speaker 1: industry that is constantly churning trying to figure out better 304 00:17:35,400 --> 00:17:39,040 Speaker 1: methods for figuring out when we're going to die or 305 00:17:39,440 --> 00:17:44,840 Speaker 1: you know, being able to predict how risky people are, 306 00:17:44,880 --> 00:17:48,640 Speaker 1: different lifestyle choices are, and so we'll I think, does 307 00:17:48,640 --> 00:17:51,560 Speaker 1: it say that, does it say who funded it? I 308 00:17:51,600 --> 00:17:54,760 Speaker 1: mean it's the insurance companies you, Uh, well it was 309 00:17:54,800 --> 00:17:57,280 Speaker 1: in the UK, I think, so, I think they tend 310 00:17:57,320 --> 00:18:00,520 Speaker 1: to have like better rules about stuff like that. But yeah, 311 00:18:00,600 --> 00:18:03,719 Speaker 1: so that's good. Also makes me feel better about my 312 00:18:04,280 --> 00:18:07,560 Speaker 1: fruit and vegetable intake. Was that they found that wasn't 313 00:18:07,600 --> 00:18:10,320 Speaker 1: that predictive of whether you're going to live or die? Yeah, 314 00:18:10,560 --> 00:18:15,160 Speaker 1: just you know, workplace hazards. Yeah. And then another study 315 00:18:15,240 --> 00:18:19,400 Speaker 1: that it's just interesting. It says that they looked at 316 00:18:19,800 --> 00:18:23,320 Speaker 1: I think thirty six thousand, four hundred Americans between nineteen 317 00:18:23,359 --> 00:18:28,200 Speaker 1: seventy one two thousand eight and the physical activity data 318 00:18:28,359 --> 00:18:32,359 Speaker 1: of fourteen thousand, four hundred and nineteen people between night 319 00:18:32,640 --> 00:18:35,560 Speaker 1: and two thousand and six. They grouped the data sets 320 00:18:35,560 --> 00:18:39,200 Speaker 1: together by the amount of food and activity, age and 321 00:18:39,320 --> 00:18:42,200 Speaker 1: b m I, and they found that a given person 322 00:18:42,280 --> 00:18:45,520 Speaker 1: in two thousand and six eating the same amount of calories, 323 00:18:45,600 --> 00:18:49,920 Speaker 1: taking the same quantities of nutrients like protein and fat, 324 00:18:49,960 --> 00:18:52,760 Speaker 1: and exercising the same amount as a person of the 325 00:18:52,800 --> 00:18:55,879 Speaker 1: same age in would have a b m I that 326 00:18:55,960 --> 00:18:59,000 Speaker 1: was two point three points higher. In other words, people 327 00:18:59,480 --> 00:19:02,240 Speaker 1: are about and percent heavier or fatter than people in 328 00:19:02,280 --> 00:19:06,800 Speaker 1: the eighties. Why uh so, the theories are like they 329 00:19:06,800 --> 00:19:10,240 Speaker 1: were just like chemicals, like chemicals that we've been exposed to. 330 00:19:11,440 --> 00:19:15,800 Speaker 1: It seems like we're getting better at identifying those. They said. Also, 331 00:19:15,880 --> 00:19:19,240 Speaker 1: it could be medications that were you know, we've changed 332 00:19:19,280 --> 00:19:22,720 Speaker 1: a lot the medications that we're taking um and then 333 00:19:22,880 --> 00:19:26,439 Speaker 1: the microbiome is the thing that I think is an 334 00:19:26,600 --> 00:19:31,480 Speaker 1: underrated aspect of human health is you know, they're doing 335 00:19:31,520 --> 00:19:35,680 Speaker 1: things like poop transplants that really help people with all 336 00:19:35,720 --> 00:19:39,359 Speaker 1: sorts of diseases. And it sounds crazy, but like a 337 00:19:39,400 --> 00:19:43,720 Speaker 1: lot of our digestion and you know, the whole machine 338 00:19:44,040 --> 00:19:49,400 Speaker 1: of our body is determined by this entire biasphere that's 339 00:19:49,480 --> 00:19:53,320 Speaker 1: living inside your guts. And it's a very complicated thing 340 00:19:53,440 --> 00:19:56,680 Speaker 1: that we haven't really studied that much. So poop transplant. 341 00:19:57,400 --> 00:19:59,119 Speaker 1: So when I go to a music festival and I 342 00:19:59,160 --> 00:20:02,800 Speaker 1: fished people ships out of the porta potty, No, that's 343 00:20:02,880 --> 00:20:05,440 Speaker 1: not that's what do we call that? A weird fit, 344 00:20:05,640 --> 00:20:09,040 Speaker 1: very trained spot. But so I think what we need 345 00:20:09,320 --> 00:20:11,840 Speaker 1: is we need one of our time travelers to take 346 00:20:11,880 --> 00:20:16,040 Speaker 1: poops from the eighties, you bring them forward to and 347 00:20:16,080 --> 00:20:20,640 Speaker 1: then transplant the eighties poop into our poop and all good. Yes, 348 00:20:20,680 --> 00:20:23,679 Speaker 1: we can wave with the future, so to speak. All right, 349 00:20:23,720 --> 00:20:25,600 Speaker 1: we're gonna take a quick break. We'll be right back, 350 00:20:33,920 --> 00:20:40,080 Speaker 1: and we're back. Michael Avanadi is approximately as shady as 351 00:20:40,119 --> 00:20:42,880 Speaker 1: I think we all started to suspect by the end. 352 00:20:42,960 --> 00:20:46,119 Speaker 1: He was. Yeah, once the other cases started coming in, 353 00:20:46,160 --> 00:20:48,840 Speaker 1: like real murky stuff about like something going on with 354 00:20:48,840 --> 00:20:51,960 Speaker 1: his ex wife and like other weird deals, like there 355 00:20:52,040 --> 00:20:54,960 Speaker 1: was a fallout with like Stormy Daniels. I mean we 356 00:20:54,960 --> 00:20:57,159 Speaker 1: were always saying, like based on in the beginning, we 357 00:20:57,160 --> 00:21:00,600 Speaker 1: were like, Yo, this guy's fucking amazing, he's just as 358 00:21:00,640 --> 00:21:03,119 Speaker 1: shitty as the president, and we'll just talk that ship 359 00:21:03,240 --> 00:21:05,520 Speaker 1: on the news. And then like as it went on, 360 00:21:05,720 --> 00:21:07,959 Speaker 1: it was I was like this guy's either the dopest 361 00:21:08,040 --> 00:21:10,200 Speaker 1: dude ever or the biggest piece of ship ever, who's 362 00:21:10,240 --> 00:21:12,960 Speaker 1: just like knows how to fucking work the fucking you know, 363 00:21:13,080 --> 00:21:17,080 Speaker 1: the optics game. And it looks like he's the ship 364 00:21:17,160 --> 00:21:20,480 Speaker 1: back professional ship back. Yeah, it seems like it's. So. 365 00:21:21,119 --> 00:21:26,520 Speaker 1: He has been accused of basically trying to extort Nike, 366 00:21:27,480 --> 00:21:31,400 Speaker 1: the company Nike, out of twenty million dollars. He said 367 00:21:31,440 --> 00:21:35,760 Speaker 1: he knew about a scandal that was involved you know, 368 00:21:35,920 --> 00:21:39,720 Speaker 1: high school basketball and college basketball, like big names in 369 00:21:39,760 --> 00:21:43,400 Speaker 1: college basketball and Nike like basically funneling money into high 370 00:21:43,440 --> 00:21:49,359 Speaker 1: school athletes. Um, who know that sounds entirely possible. But 371 00:21:49,480 --> 00:21:52,879 Speaker 1: rather than you know, going public or trying to bring 372 00:21:53,520 --> 00:21:58,960 Speaker 1: this information to a journalist journalistic outlet, he decided to 373 00:21:59,520 --> 00:22:01,720 Speaker 1: go to an ikey and say, Hey, if you don't 374 00:22:01,720 --> 00:22:04,639 Speaker 1: pay me twenty two million dollars, we're gonna let this 375 00:22:04,680 --> 00:22:08,240 Speaker 1: ship rip. How huge like that is that? That is 376 00:22:08,280 --> 00:22:12,080 Speaker 1: really how the heights of his ego reach, because he 377 00:22:12,200 --> 00:22:18,960 Speaker 1: was like, I'm gonna blackmail night the motherfucking Nike as 378 00:22:18,960 --> 00:22:22,199 Speaker 1: the Swish lands on his skull. Yeah, I mean, he 379 00:22:22,200 --> 00:22:24,080 Speaker 1: he was like even the talk was like He's like 380 00:22:24,119 --> 00:22:27,680 Speaker 1: I'll fucking take billions off your market cap. Watch what 381 00:22:27,720 --> 00:22:30,000 Speaker 1: I can do. And I think you know he was 382 00:22:30,160 --> 00:22:32,960 Speaker 1: he gassed himself up over the last eighteen months, and 383 00:22:33,520 --> 00:22:35,639 Speaker 1: you know he found out there there are limits to 384 00:22:35,760 --> 00:22:37,680 Speaker 1: the heights he could fly. I think so I think 385 00:22:37,680 --> 00:22:41,320 Speaker 1: we had a sense that he had an outsized opinion 386 00:22:41,359 --> 00:22:45,680 Speaker 1: of himself when he started talking about possibly like exploring 387 00:22:45,680 --> 00:22:50,639 Speaker 1: an yeah and everything. I feel like everyone pretty pretty 388 00:22:50,640 --> 00:22:55,920 Speaker 1: like unilaterally, but like absolutely stop right there, go back 389 00:22:55,960 --> 00:22:57,879 Speaker 1: to being a fake race car driver. Yes, go on 390 00:22:57,960 --> 00:23:01,240 Speaker 1: t m Z screen it well. And then also but 391 00:23:01,280 --> 00:23:03,159 Speaker 1: not only that, then he has then he's caught up 392 00:23:03,160 --> 00:23:06,879 Speaker 1: in another embezzlement scheme too. Yeah, there's it's not just 393 00:23:07,080 --> 00:23:10,040 Speaker 1: like he got hit with like two cases in one day. Yeah. 394 00:23:10,080 --> 00:23:14,040 Speaker 1: So he apparently defrauded a Mississippi bank by submitting false 395 00:23:14,080 --> 00:23:17,640 Speaker 1: tax tax returns in order to obtain loans totaling four 396 00:23:17,720 --> 00:23:21,320 Speaker 1: point one million dollars, which he allegedly used for his 397 00:23:21,400 --> 00:23:26,200 Speaker 1: coffee being business. Uh. And there was also a thing 398 00:23:27,200 --> 00:23:29,760 Speaker 1: where he was accused of negotiating a settlement for one 399 00:23:29,760 --> 00:23:33,119 Speaker 1: point six million dollars to be paid in January two eighteen, 400 00:23:33,160 --> 00:23:36,240 Speaker 1: and then using the funds to pay expenses for again 401 00:23:36,400 --> 00:23:39,040 Speaker 1: his coffee business. So he was just really in this 402 00:23:39,119 --> 00:23:42,280 Speaker 1: coffee game. What kind of what? What is? What kind 403 00:23:42,320 --> 00:23:45,640 Speaker 1: of business? Is? He upside down? All. I saw him 404 00:23:45,680 --> 00:23:48,240 Speaker 1: one time and I almost said hello, but then society 405 00:23:48,280 --> 00:23:51,760 Speaker 1: against it because something even better happened. He was sitting 406 00:23:51,800 --> 00:23:53,399 Speaker 1: at the top of a hotel here in l A. 407 00:23:54,280 --> 00:23:57,600 Speaker 1: Joan Collins passes him by and says hello, and he goes, Hi, 408 00:23:57,720 --> 00:23:59,280 Speaker 1: how are you? And I was like, I can't believe 409 00:23:59,280 --> 00:24:01,560 Speaker 1: that happened. I mean, that's the beginning and the end 410 00:24:01,560 --> 00:24:05,320 Speaker 1: of the story. But it was like Michael, he thinks 411 00:24:05,359 --> 00:24:10,120 Speaker 1: he's up here, right, yeah, and apparently so did. I 412 00:24:08,560 --> 00:24:12,359 Speaker 1: was a real imposter and you were trying to extort Nike. 413 00:24:12,400 --> 00:24:14,359 Speaker 1: Also at the same time, I was the one who 414 00:24:14,400 --> 00:24:15,600 Speaker 1: told him. I was like, listen, I can't do it. 415 00:24:15,640 --> 00:24:21,320 Speaker 1: You could do it. Yeah. Yeah. Because then when he 416 00:24:21,320 --> 00:24:23,919 Speaker 1: also looked to write, even with the fallout with like 417 00:24:24,000 --> 00:24:27,400 Speaker 1: the William Barr Mueller thing, he was tweeting about like 418 00:24:27,600 --> 00:24:30,919 Speaker 1: what like how like the country has to beat Trump, right, 419 00:24:30,920 --> 00:24:32,800 Speaker 1: and he's like to all, damn, this is a tweet 420 00:24:32,840 --> 00:24:35,760 Speaker 1: from like you know, like late last night or you know, 421 00:24:35,800 --> 00:24:39,119 Speaker 1: early Monday to all damns. From now until November twenty, 422 00:24:39,160 --> 00:24:41,480 Speaker 1: we need to have one overwriting focus the nomination and 423 00:24:41,520 --> 00:24:44,280 Speaker 1: election of a candidate who has a unique skill set. Okay, 424 00:24:44,359 --> 00:24:47,160 Speaker 1: Liam Neeson to beat Trump and end this dumpster five 425 00:24:47,200 --> 00:24:49,600 Speaker 1: of presidency. It's all about who matches up best against him. 426 00:24:49,640 --> 00:24:51,560 Speaker 1: The week need not apply, which is kind of him 427 00:24:51,560 --> 00:24:54,680 Speaker 1: advertising for himself. It's been like, I'm a street fighter man, 428 00:24:55,000 --> 00:24:57,160 Speaker 1: and so shut the funk up there. There's no such 429 00:24:57,200 --> 00:25:00,879 Speaker 1: things ability anymore. We learned anything. It's Funny's sixteen is 430 00:25:00,880 --> 00:25:02,800 Speaker 1: if this doesn't ex this, this don't predict that. And 431 00:25:02,840 --> 00:25:04,840 Speaker 1: I think you know, but Michael, I'm not the devil 432 00:25:04,840 --> 00:25:06,440 Speaker 1: knows his own because he's out here doing the same 433 00:25:06,520 --> 00:25:07,920 Speaker 1: kind of ship about being like, hey let me pump 434 00:25:08,000 --> 00:25:10,080 Speaker 1: up my number so I can get this bank loan. Right, 435 00:25:11,520 --> 00:25:13,280 Speaker 1: it's true, Yeah, they're from the same He would be 436 00:25:13,320 --> 00:25:15,720 Speaker 1: a great campaign manager that would later go to president 437 00:25:16,280 --> 00:25:20,640 Speaker 1: right maybe Trump. Yeah, it's like if Man of Fort 438 00:25:20,720 --> 00:25:23,360 Speaker 1: hadn't been employed by Trump, this is probably what Man 439 00:25:23,359 --> 00:25:25,520 Speaker 1: of Fort would be doing right now. Yeah. It's just 440 00:25:25,840 --> 00:25:28,720 Speaker 1: openly talking ship in such a way that he could 441 00:25:28,800 --> 00:25:30,760 Speaker 1: make money off of it in some sort of scammer. 442 00:25:30,840 --> 00:25:33,919 Speaker 1: But you know what we'll know because Tuesday at eleven 443 00:25:33,960 --> 00:25:38,119 Speaker 1: Eastern he will be telling the world about Nikes skimmings 444 00:25:38,119 --> 00:25:42,880 Speaker 1: and scammings. I mean, he says this criminal conduct reaches 445 00:25:42,920 --> 00:25:44,960 Speaker 1: the highest levels of Nike and involved some of the 446 00:25:45,000 --> 00:25:49,639 Speaker 1: biggest names in college basketball. Huh damn. Interesting. Yeah. To 447 00:25:49,640 --> 00:25:51,959 Speaker 1: be clear, though, he was arrested first of those charges 448 00:25:52,240 --> 00:25:54,960 Speaker 1: for the extortion charge, I believe. But as we record this, 449 00:25:55,000 --> 00:25:57,760 Speaker 1: we don't know what kind of bombs he has dropped. 450 00:25:58,800 --> 00:26:00,679 Speaker 1: That would be so funny if it's just it's just 451 00:26:00,800 --> 00:26:05,240 Speaker 1: big nothing it always is, But then it would also 452 00:26:05,280 --> 00:26:08,800 Speaker 1: be funny where he really does just be like, wow, okay, ship, 453 00:26:10,720 --> 00:26:13,280 Speaker 1: all right, let's talk about justin Bieber Guys, what happened? 454 00:26:13,320 --> 00:26:15,760 Speaker 1: That's the most important thing. Um Yeah, I know. I 455 00:26:15,800 --> 00:26:18,159 Speaker 1: was like, can we quit with the boring ship and 456 00:26:18,160 --> 00:26:21,119 Speaker 1: get to the news, get to the beabs he posted 457 00:26:21,160 --> 00:26:25,680 Speaker 1: on Instagram. It was just like among the most ineffective 458 00:26:25,920 --> 00:26:29,639 Speaker 1: ways to counter a narrative that I've ever seen. So 459 00:26:29,680 --> 00:26:33,159 Speaker 1: he posted on Instagram saying basically like leave me and 460 00:26:33,200 --> 00:26:37,640 Speaker 1: my wife alone. And then because people were asking him 461 00:26:37,680 --> 00:26:42,800 Speaker 1: about Selina Gomez and you know, his people were speculating 462 00:26:42,800 --> 00:26:45,560 Speaker 1: that he still loved her, and he was like, you guys, 463 00:26:45,640 --> 00:26:48,800 Speaker 1: leave us alone. This is so messed up. Obviously I 464 00:26:48,880 --> 00:26:51,840 Speaker 1: still love her, but I also love my wife. Wow. 465 00:26:52,000 --> 00:26:54,480 Speaker 1: It's just like, because it was you seen the notebook, 466 00:26:54,520 --> 00:26:58,320 Speaker 1: you could love two people, right, Just surprised you didn't 467 00:26:58,400 --> 00:27:01,200 Speaker 1: drop that one in there, right. But he was like, yeah, okay, 468 00:27:01,240 --> 00:27:03,959 Speaker 1: so there was an account. I guess who he was 469 00:27:04,000 --> 00:27:07,679 Speaker 1: responding to. Who it's called at jay Lee is a 470 00:27:07,760 --> 00:27:12,399 Speaker 1: joke justin in Haley okay yeah uh and saying like 471 00:27:12,480 --> 00:27:14,840 Speaker 1: you are not in love with Haley, you only married 472 00:27:14,840 --> 00:27:17,000 Speaker 1: her to get back at as g plus Haley sleeps 473 00:27:17,000 --> 00:27:20,520 Speaker 1: with men like at Sean Mendez for fame and she's racist. 474 00:27:21,040 --> 00:27:23,560 Speaker 1: Whoa where did that last part comes? God? Damn, I 475 00:27:23,560 --> 00:27:26,080 Speaker 1: don't know. Maybe she is then yeah he comes back 476 00:27:26,240 --> 00:27:27,960 Speaker 1: and then but I love the way it's still like 477 00:27:28,040 --> 00:27:30,520 Speaker 1: in like hyper millennial speaking like young like it's like 478 00:27:30,600 --> 00:27:33,639 Speaker 1: you're you are you're immature. The fact that you have 479 00:27:33,680 --> 00:27:36,280 Speaker 1: an account dedicated dissing my wife and I is absolutely absurd. 480 00:27:36,280 --> 00:27:37,840 Speaker 1: Why would I dedicate my whole life to someone in 481 00:27:37,880 --> 00:27:40,600 Speaker 1: marriage just to get back. I mean, he's really it's 482 00:27:40,600 --> 00:27:43,720 Speaker 1: pretty amazing. He's feeling it because he He also doesn't 483 00:27:43,920 --> 00:27:50,639 Speaker 1: capitalize anything except for I uh and Selena, oh, just 484 00:27:50,680 --> 00:27:53,360 Speaker 1: saying man. Then he says, yeah, I absolutely loved Selena. 485 00:27:53,440 --> 00:27:54,919 Speaker 1: She will always hold a place in my heart. But 486 00:27:54,960 --> 00:27:57,160 Speaker 1: I am head over heels in love heals h e 487 00:27:57,480 --> 00:28:01,119 Speaker 1: l s because he's healing her. Uh, in love with 488 00:28:01,160 --> 00:28:04,360 Speaker 1: my wife and she's absolutely the best thing for TAPS 489 00:28:04,640 --> 00:28:09,000 Speaker 1: that has happened to me. Period. Yeah. So I mean, look, 490 00:28:09,080 --> 00:28:11,240 Speaker 1: my man, if you're married, don't be out here. And like, 491 00:28:11,280 --> 00:28:14,160 Speaker 1: of course I love my ex still, But I think 492 00:28:14,280 --> 00:28:17,760 Speaker 1: the fact that we're even trying to apply basic understanding 493 00:28:17,800 --> 00:28:20,360 Speaker 1: of human behavior rules to a guy like justin bieber 494 00:28:20,440 --> 00:28:24,280 Speaker 1: Is is where the train goes off the track, Because 495 00:28:24,640 --> 00:28:26,679 Speaker 1: when you reach a certain level of fame, this is 496 00:28:26,760 --> 00:28:28,880 Speaker 1: just this isn't I'm sure I'm not the first person 497 00:28:28,920 --> 00:28:31,480 Speaker 1: to think of this, um, but like, you reach a 498 00:28:31,520 --> 00:28:34,480 Speaker 1: certain level of fame and now you've spun off the globe. 499 00:28:34,520 --> 00:28:36,359 Speaker 1: You no longer have any idea what it's like to 500 00:28:36,359 --> 00:28:38,240 Speaker 1: be a person or how to interact with other people, 501 00:28:38,280 --> 00:28:41,120 Speaker 1: because no one's interacting with you like exactly, And I 502 00:28:41,120 --> 00:28:43,880 Speaker 1: could only imagine I have nothing but sympathy for for 503 00:28:43,920 --> 00:28:46,840 Speaker 1: this kid anymore. Well, anyone who becomes that famous at 504 00:28:46,880 --> 00:28:49,880 Speaker 1: such a young age, Like you can just tell, like 505 00:28:49,960 --> 00:28:53,040 Speaker 1: it even destroys your ability to be like responsible, especially 506 00:28:53,080 --> 00:28:54,920 Speaker 1: when you have handlers who are like, up at this time, 507 00:28:54,920 --> 00:28:57,000 Speaker 1: we're gonna take you there, knock on your door, move 508 00:28:57,000 --> 00:28:59,720 Speaker 1: your body here. You just don't now you're even losing 509 00:28:59,760 --> 00:29:03,560 Speaker 1: SKI was of like self organization and ship. I just 510 00:29:03,600 --> 00:29:05,760 Speaker 1: worry that like people like this, you know, they don't 511 00:29:05,760 --> 00:29:09,280 Speaker 1: make it past thirty forty years old when they get 512 00:29:09,360 --> 00:29:13,400 Speaker 1: that famous that young, and when it comes to like 513 00:29:14,000 --> 00:29:17,120 Speaker 1: even understanding what love is. I mean, if you're that kid, 514 00:29:17,640 --> 00:29:21,160 Speaker 1: how do you believe anybody? You know? On a subconscious level? 515 00:29:21,200 --> 00:29:22,720 Speaker 1: I mean, because maybe you've spun off the globe and 516 00:29:22,720 --> 00:29:24,520 Speaker 1: you don't know what it's like to be a person anymore. Sure, 517 00:29:24,880 --> 00:29:28,040 Speaker 1: but you're still a person, like deep down on that level, 518 00:29:28,400 --> 00:29:31,840 Speaker 1: And it's like, how can you trust anyone? I could 519 00:29:31,840 --> 00:29:34,640 Speaker 1: not imagine how paranoid I would be as a person 520 00:29:34,680 --> 00:29:37,200 Speaker 1: if someone comes like, hey, I get paranoid now and 521 00:29:37,680 --> 00:29:41,360 Speaker 1: I made sixteen thousand dollars last year or whatever, you 522 00:29:41,440 --> 00:29:43,280 Speaker 1: know what I mean, Like it's like, how do you 523 00:29:43,440 --> 00:29:48,040 Speaker 1: how do you trust anybody when you have what everyone 524 00:29:48,080 --> 00:29:50,080 Speaker 1: else in the world thinks it's total access and just 525 00:29:50,120 --> 00:29:52,160 Speaker 1: the same way. Ryan, How do I trust someone wearing 526 00:29:52,200 --> 00:29:55,040 Speaker 1: two motherfucking eye patches trying to have a conversation. I 527 00:29:55,040 --> 00:29:57,080 Speaker 1: can't see your eyes. I don't know if you're sincere, 528 00:29:57,280 --> 00:30:00,200 Speaker 1: that's right, I don't know. You're facing the wrong way, 529 00:30:00,200 --> 00:30:04,000 Speaker 1: by the way, I'm a believer. I think he's in 530 00:30:04,040 --> 00:30:06,000 Speaker 1: love with this gal, and I think they're gonna make it. 531 00:30:06,560 --> 00:30:09,680 Speaker 1: They're gonna make Oh you really, you're pulling for him. 532 00:30:09,680 --> 00:30:11,280 Speaker 1: I'm pulling for him. I have no idea who this 533 00:30:11,320 --> 00:30:14,280 Speaker 1: gal is, but like it's with Stephen Baldwin's daughter, Ye, 534 00:30:14,640 --> 00:30:25,680 Speaker 1: Billy Baldwin, Yeah, part of them? Yeah yeah, yeah, Wow, 535 00:30:25,760 --> 00:30:32,280 Speaker 1: this is that that might change things. Is her father 536 00:30:32,440 --> 00:30:36,920 Speaker 1: is not the like super uber right wing Christian Baldwin? 537 00:30:37,080 --> 00:30:41,160 Speaker 1: Is he Stephen Baldwin? Yeah? Yeah, stew the quick Christian 538 00:30:41,160 --> 00:30:43,760 Speaker 1: one who was in Biodome and then forgot who he was. 539 00:30:44,160 --> 00:30:48,600 Speaker 1: How do you forget who you are when you're in Biodometio. 540 00:30:48,880 --> 00:30:52,280 Speaker 1: I have seen Biodome more times than I've seen Citizen Kane, 541 00:30:52,280 --> 00:30:55,920 Speaker 1: and I'm ashamed of it, but I will admit it publicly. 542 00:30:56,120 --> 00:31:00,280 Speaker 1: Biodome terrible movie. Terrible movie. Love it so much. They're 543 00:31:00,280 --> 00:31:03,280 Speaker 1: shitty people and it it doesn't they're the worst. Yeah, 544 00:31:03,640 --> 00:31:07,600 Speaker 1: it doesn't age. But look, man, those classic keep talking 545 00:31:07,640 --> 00:31:11,840 Speaker 1: about Polly Shore this week, classic female like girlfriend archetypes 546 00:31:11,880 --> 00:31:15,120 Speaker 1: in that movie. As far as we're like obstacles. Yeah, 547 00:31:15,800 --> 00:31:18,560 Speaker 1: just trying to biodome it up, all right, leave us alone. 548 00:31:19,280 --> 00:31:22,880 Speaker 1: Um yeah, isn't that the second time we've talked about 549 00:31:22,920 --> 00:31:28,239 Speaker 1: biodome this Yeah, because um Carla Gugino. Gugino came up 550 00:31:28,280 --> 00:31:31,240 Speaker 1: because she was in Son in Law. Yeah, we've just 551 00:31:31,280 --> 00:31:33,400 Speaker 1: been this has been poly Shore week. I mean, I 552 00:31:33,400 --> 00:31:38,440 Speaker 1: think that's the first sign that you're succeeding as I look. Ever, 553 00:31:38,520 --> 00:31:41,400 Speaker 1: look at Steven Baldwin's bio. In two thousand and four, 554 00:31:41,440 --> 00:31:45,440 Speaker 1: he directed Living It, a Christian themed skateboarding DVD. Oh nice, 555 00:31:45,800 --> 00:31:48,400 Speaker 1: that must be tight. Yeah, did they do christ Air 556 00:31:48,480 --> 00:31:53,520 Speaker 1: like Rooney Gliffberg's signature moved from Tony Hawk little sacrilegic. 557 00:31:54,200 --> 00:31:56,080 Speaker 1: That was That was a reference for the five people 558 00:31:56,120 --> 00:31:58,360 Speaker 1: who like the skating references I do on this podcast. 559 00:31:58,880 --> 00:32:04,520 Speaker 1: What else is happening in the world to Pierce Morgan Man, Yes, 560 00:32:04,840 --> 00:32:07,240 Speaker 1: we know. Look, he's an epic pile of ship. What 561 00:32:07,840 --> 00:32:10,960 Speaker 1: we know Piers my peers and he's a he's a 562 00:32:11,040 --> 00:32:13,440 Speaker 1: stain on all people who support Arsenal too. That's a 563 00:32:13,440 --> 00:32:17,960 Speaker 1: whole other thing. But he got some hot gossip out 564 00:32:17,960 --> 00:32:22,920 Speaker 1: the Spice Girls world. Okay, because apparently Melby and Jerry 565 00:32:22,920 --> 00:32:27,400 Speaker 1: Halliwell hooked up in the mid nineties. Yes, hold onto 566 00:32:27,400 --> 00:32:29,840 Speaker 1: your butts. Okay, here we go. Quote. This is from 567 00:32:29,840 --> 00:32:32,640 Speaker 1: an interview that just came out. This is Piers Morgan 568 00:32:32,680 --> 00:32:36,080 Speaker 1: talking to Melby. Did you or didn't you with Jerry Halliwell? 569 00:32:36,240 --> 00:32:39,040 Speaker 1: Did you sleep with her? Melb Yeah, we all slept 570 00:32:39,040 --> 00:32:41,320 Speaker 1: in a bed together, but not like that, all of 571 00:32:41,440 --> 00:32:45,240 Speaker 1: us thet yard scene replied Pierce, did you sleep with 572 00:32:45,360 --> 00:32:49,480 Speaker 1: Jerry like that? Melby nodded and smiled and said she's 573 00:32:49,520 --> 00:32:51,760 Speaker 1: going to hate me for this because she's all posh 574 00:32:51,840 --> 00:32:54,480 Speaker 1: in her country house and her husband. But it's a fact. 575 00:32:54,760 --> 00:32:57,080 Speaker 1: It just happened, and we just giggled at it and 576 00:32:57,160 --> 00:33:00,960 Speaker 1: that was it. Good for them. Had no idea, also, 577 00:33:01,040 --> 00:33:04,320 Speaker 1: had no idea that Jerry Hawbell was living a posh life. Yeah, 578 00:33:04,360 --> 00:33:08,320 Speaker 1: she's Marrie to some Formula one boss. Yeah, so she's 579 00:33:08,360 --> 00:33:10,000 Speaker 1: out here. And then like then there was like some 580 00:33:10,040 --> 00:33:14,000 Speaker 1: side gossip apparently Melsi was in the audience too, like 581 00:33:14,040 --> 00:33:17,400 Speaker 1: when this was happening, and acted like she wasn't gonna 582 00:33:17,680 --> 00:33:20,800 Speaker 1: gonna get involved in any of this gossip. Was melsee baby, 583 00:33:20,880 --> 00:33:23,360 Speaker 1: which one was scary? Which one was baby? Melby is 584 00:33:23,560 --> 00:33:31,440 Speaker 1: scary spice, and I'll set is BABYI. Anyway, so when 585 00:33:31,520 --> 00:33:32,920 Speaker 1: Melsy was in the audience this is I guess for 586 00:33:32,960 --> 00:33:36,400 Speaker 1: Pierce Morgan's show. Melsey goes, I don't know anything because 587 00:33:36,440 --> 00:33:38,800 Speaker 1: Meloby like looked at her red afas like come on girl, 588 00:33:39,120 --> 00:33:40,960 Speaker 1: and she was like, I don't know anything, and then 589 00:33:41,080 --> 00:33:44,640 Speaker 1: Melby goes, oh whatever, mel Melsey says, this is all 590 00:33:44,680 --> 00:33:47,360 Speaker 1: new to me. Pierce asked Meloby if there was anything 591 00:33:47,400 --> 00:33:50,320 Speaker 1: with Melsi and then Melby replies, well, when I got 592 00:33:50,320 --> 00:33:52,320 Speaker 1: my tongue pierced, we all kissed. But that was just 593 00:33:52,360 --> 00:33:54,200 Speaker 1: a kiss, because I want to know what it felt like. 594 00:33:54,200 --> 00:33:56,360 Speaker 1: It was just a silly kiss, nothing sexual like that. 595 00:33:57,520 --> 00:34:01,760 Speaker 1: And this is coming seems to call sex silly. Yeah, 596 00:34:01,840 --> 00:34:06,280 Speaker 1: it was just silly. Yeah, Because they were all living 597 00:34:06,320 --> 00:34:08,480 Speaker 1: together in the same house. Apparently like once you know, 598 00:34:08,560 --> 00:34:10,480 Speaker 1: the the group was having to do a lot of 599 00:34:10,480 --> 00:34:13,200 Speaker 1: work or whatever. But Jerry is not happy with this. 600 00:34:13,719 --> 00:34:16,120 Speaker 1: Because this cause of friction with her husband, who does 601 00:34:16,120 --> 00:34:18,440 Speaker 1: not like it. Apparently, it says, and I don't know 602 00:34:18,480 --> 00:34:20,959 Speaker 1: this is again more gossip, but it says since uh, 603 00:34:21,000 --> 00:34:23,719 Speaker 1: since Mary and Christian, her husband Jerry has worked hard 604 00:34:23,719 --> 00:34:26,000 Speaker 1: to shake off her old playgirl image and sort of 605 00:34:26,000 --> 00:34:29,239 Speaker 1: reinvent herself as this perfect Stepford wife. Mel immediately rang 606 00:34:29,320 --> 00:34:31,359 Speaker 1: Jerry to try to repair the damage because they're about 607 00:34:31,360 --> 00:34:34,600 Speaker 1: to go on to her right. Yeah, I guess maybe 608 00:34:34,600 --> 00:34:38,480 Speaker 1: they had a different reputation in the UK than they 609 00:34:38,480 --> 00:34:41,879 Speaker 1: did here, because I don't remember thinking of Jerry how 610 00:34:41,920 --> 00:34:45,360 Speaker 1: Abow is like a play girl? Well, she posed in Playboy, 611 00:34:45,600 --> 00:34:46,839 Speaker 1: she did. I think she was one of the first 612 00:34:46,840 --> 00:34:49,840 Speaker 1: ones to pose in Playboy and was pretty like sexually 613 00:34:49,880 --> 00:34:52,520 Speaker 1: liberated or whatever, so I think maybe that's what. Yeah, 614 00:34:52,560 --> 00:34:55,160 Speaker 1: But I'm not ever like, oh yeah, Jerry, come on, 615 00:34:55,160 --> 00:35:00,200 Speaker 1: we're trying to image right, But which she is? Do 616 00:35:00,239 --> 00:35:04,000 Speaker 1: you know? Ry's ginger? She was an ambassador at some point. 617 00:35:04,120 --> 00:35:08,000 Speaker 1: Care was just a ginger spice. It always stood out 618 00:35:08,000 --> 00:35:10,000 Speaker 1: as shot and it was very and the woman of 619 00:35:10,040 --> 00:35:16,640 Speaker 1: color was scary. So hop on board, wow and sporty 620 00:35:16,680 --> 00:35:21,239 Speaker 1: seem kind of coded Tom, Yeah, I mean that's yeah, yes, 621 00:35:21,320 --> 00:35:24,319 Speaker 1: I agree this whole version of wait, why is it 622 00:35:24,400 --> 00:35:29,160 Speaker 1: code that she's just like a tomboy, Like well, I 623 00:35:29,160 --> 00:35:32,320 Speaker 1: don't know if there were umbers assumptions, maybe she wasna 624 00:35:32,360 --> 00:35:34,960 Speaker 1: got it. Okay, she might not be. But again, this 625 00:35:35,080 --> 00:35:37,719 Speaker 1: is all the nicknames who were not very useful for 626 00:35:37,760 --> 00:35:39,880 Speaker 1: them now because I'm not, I don't know. What was 627 00:35:39,920 --> 00:35:44,719 Speaker 1: scary about her. Must have been her curly hair, had 628 00:35:44,800 --> 00:35:48,879 Speaker 1: like a more aggressive personality than I think the other 629 00:35:48,960 --> 00:35:51,839 Speaker 1: spice girls, Like she was more in your face. Yeah, 630 00:35:51,840 --> 00:35:53,840 Speaker 1: I guess you always had that animal print on you 631 00:35:53,880 --> 00:35:56,040 Speaker 1: know what I mean. Yeah, but I don't know scary, 632 00:35:56,440 --> 00:36:00,240 Speaker 1: like everyone has like a it's like there's sporty that 633 00:36:00,239 --> 00:36:06,920 Speaker 1: that's neutral, ginger baby, what's the baby spice? Like it 634 00:36:07,040 --> 00:36:08,959 Speaker 1: was on a rack, like, what's let's put some baby 635 00:36:09,000 --> 00:36:11,840 Speaker 1: spice on that. I think it's like baby powder. Terrible, 636 00:36:11,880 --> 00:36:14,360 Speaker 1: you don't put that on your food. So it sounds 637 00:36:14,400 --> 00:36:17,319 Speaker 1: like behind the scenes, it's exactly what the horny ist 638 00:36:17,440 --> 00:36:21,080 Speaker 1: twelve year old boys were like hope, Yeah, it was 639 00:36:21,160 --> 00:36:25,560 Speaker 1: just all of them with every well yeah, I mean 640 00:36:25,560 --> 00:36:31,960 Speaker 1: this seems like just very shrewd branding. People tell beers Morgan, 641 00:36:32,480 --> 00:36:34,799 Speaker 1: like I remember when I can't remember the actual name 642 00:36:34,920 --> 00:36:37,560 Speaker 1: Kim ConTroll went on his show in the UK, and 643 00:36:37,560 --> 00:36:39,440 Speaker 1: that's when she was like, Sarah, Justsica. Parker's a mean 644 00:36:39,440 --> 00:36:41,399 Speaker 1: person and I don't want anything to do And people 645 00:36:41,440 --> 00:36:45,479 Speaker 1: were like what people spill their guts to him? Yeah, 646 00:36:45,760 --> 00:36:49,320 Speaker 1: what is it? Because he's such an objectively shit know 647 00:36:49,840 --> 00:36:52,840 Speaker 1: and know when you're yeah, just like itchy and yeah, 648 00:36:53,000 --> 00:36:56,480 Speaker 1: maybe he presents like he's like he's basically making like 649 00:36:56,520 --> 00:36:59,440 Speaker 1: a safe space for messiness, you know what I mean, 650 00:36:59,600 --> 00:37:01,799 Speaker 1: And he's just exudes that where someone's like, I feel 651 00:37:01,800 --> 00:37:04,200 Speaker 1: like I can get messy as funk with Pierce, yeah, 652 00:37:04,600 --> 00:37:07,600 Speaker 1: and somehow it'll be fine. Yeah, but then you get 653 00:37:07,600 --> 00:37:11,320 Speaker 1: these like earth shattering revelations. Yeah, a lot of people's 654 00:37:11,920 --> 00:37:13,960 Speaker 1: heads were spinning. I wonder if the Sex and the 655 00:37:13,960 --> 00:37:18,720 Speaker 1: City cast is America's Spice Girls, Like it's honestly probably 656 00:37:19,280 --> 00:37:24,560 Speaker 1: like who are you? Are you Samantha? Oh interesting interest? 657 00:37:24,640 --> 00:37:26,680 Speaker 1: Did people ever say that with the Spice Girls? Yeah? 658 00:37:26,719 --> 00:37:29,680 Speaker 1: I guess so everyone picked a Spice girl. I was posh. Yeah, 659 00:37:29,800 --> 00:37:33,040 Speaker 1: you were definitely posh. I loved Victor. I actually have 660 00:37:33,160 --> 00:37:35,680 Speaker 1: never even associated anyone else with the Spice Girl, but 661 00:37:35,760 --> 00:37:37,919 Speaker 1: I just know the second you walk in the room 662 00:37:38,080 --> 00:37:42,160 Speaker 1: that guys. Yeah, yeah, the way he bends that leg 663 00:37:42,200 --> 00:37:49,080 Speaker 1: for poses, sticks his finger out. Yeah. It cannot sing 664 00:37:49,960 --> 00:37:54,319 Speaker 1: quietly mumbles in the background. People not even I can't 665 00:37:54,320 --> 00:37:58,160 Speaker 1: even can't even dance. There were moments where she wasn't 666 00:37:58,160 --> 00:37:59,719 Speaker 1: even holding a microphone. They were just like, let's not 667 00:37:59,800 --> 00:38:02,480 Speaker 1: we're don't even pretend. Yeah, they're like people of the world. 668 00:38:02,560 --> 00:38:08,960 Speaker 1: She's in the back, He's like, yeah, yep, um man. 669 00:38:09,000 --> 00:38:11,080 Speaker 1: That song though, what a great song. Oh they had 670 00:38:11,120 --> 00:38:15,520 Speaker 1: a few, there were great ye. Spice film too great 671 00:38:15,400 --> 00:38:19,680 Speaker 1: at all. Aliens, goddamn aliens in that film where there 672 00:38:19,680 --> 00:38:23,440 Speaker 1: I forgot about down and they're but the aliens is 673 00:38:23,520 --> 00:38:26,200 Speaker 1: like horny though too. And that concert at the end 674 00:38:26,280 --> 00:38:28,239 Speaker 1: is rousing. When they say spice of your life at 675 00:38:28,239 --> 00:38:30,239 Speaker 1: the end, it is like you're on your feet. People 676 00:38:30,280 --> 00:38:34,000 Speaker 1: of the world. They saved the world from horny aliens. 677 00:38:34,400 --> 00:38:35,839 Speaker 1: I don't know if they saved I don't know if 678 00:38:35,840 --> 00:38:38,799 Speaker 1: the aliens were an existential threat. At one point they 679 00:38:38,800 --> 00:38:41,640 Speaker 1: come down and they were they were smitting. I could 680 00:38:41,760 --> 00:38:44,520 Speaker 1: be projecting their horny nous or aliens where I was like, man, 681 00:38:44,560 --> 00:38:46,200 Speaker 1: if I was easy aliens, I would be so horny 682 00:38:46,239 --> 00:38:48,400 Speaker 1: if I'm at them because I was fourteen when that 683 00:38:48,440 --> 00:38:51,239 Speaker 1: ship came out? Anyway, isn't that what dude wears my car? 684 00:38:51,480 --> 00:38:55,600 Speaker 1: The like revelation of that was aliens, So yes, they're 685 00:38:55,680 --> 00:39:03,239 Speaker 1: well ers. That has to do with Aliens, I think, yeah, 686 00:39:03,719 --> 00:39:10,480 Speaker 1: or I hailbop situation. There was something there. Do you 687 00:39:10,480 --> 00:39:13,239 Speaker 1: want to hang out in my place? Come to branch 688 00:39:13,280 --> 00:39:16,759 Speaker 1: of Santa it's like your car, your car might be there. 689 00:39:17,600 --> 00:39:20,399 Speaker 1: We're gonna take another quick break and we'll be right 690 00:39:20,400 --> 00:39:31,480 Speaker 1: back and we're back. Do you guys ever give anything 691 00:39:31,560 --> 00:39:35,160 Speaker 1: up for lint? Not sense? I was in elementary school 692 00:39:35,640 --> 00:39:38,640 Speaker 1: when I was going to like Lutheran school, and they 693 00:39:38,640 --> 00:39:40,480 Speaker 1: were like, everyone's gotta give someone up for lant And 694 00:39:40,520 --> 00:39:42,160 Speaker 1: I'm like, but I don't know if I'm christ like 695 00:39:42,280 --> 00:39:45,160 Speaker 1: everybody's going to do. What are you giving up? Put 696 00:39:45,160 --> 00:39:48,200 Speaker 1: this ash on your head and give someone up? Uh No, 697 00:39:48,280 --> 00:39:50,520 Speaker 1: I mean I used to. Actually, you know I didn't. 698 00:39:50,640 --> 00:39:53,120 Speaker 1: I did in high school too, because I wanted to 699 00:39:53,120 --> 00:39:56,600 Speaker 1: get into college. I was like, God, I'll give up weed. 700 00:39:58,320 --> 00:40:01,160 Speaker 1: I know I'm coming back in my time need doing 701 00:40:01,160 --> 00:40:05,680 Speaker 1: it very conveniently, but please show me. Yeah, because I 702 00:40:05,920 --> 00:40:08,560 Speaker 1: I you know where I the way I grew up 703 00:40:08,600 --> 00:40:12,240 Speaker 1: with religion, I thought prayer was just asking stuff for free, 704 00:40:12,800 --> 00:40:17,239 Speaker 1: asking for stuff for free. Yeah, I think everyone isn't it. Yeah, 705 00:40:17,280 --> 00:40:18,920 Speaker 1: I mean I was like, I was like, I mean, 706 00:40:18,960 --> 00:40:20,920 Speaker 1: I'm sure I've told this story before. I really wanted 707 00:40:20,960 --> 00:40:23,120 Speaker 1: a video game system and I didn't get one, So 708 00:40:23,160 --> 00:40:25,879 Speaker 1: I was like, I think I'm good on this, but yeah, 709 00:40:25,920 --> 00:40:28,520 Speaker 1: I do not praying for a console. Yeah, I was like, 710 00:40:28,600 --> 00:40:31,960 Speaker 1: give me Super Nintendo with Tena's Mutant Ninja, Turtles Turtles 711 00:40:31,960 --> 00:40:36,000 Speaker 1: in Time, and I got Mario paint Um later on. 712 00:40:36,520 --> 00:40:37,960 Speaker 1: But how do you give anything up? Have you given? 713 00:40:38,239 --> 00:40:40,799 Speaker 1: I mean, I it's a great excuse to diet, you know, 714 00:40:40,960 --> 00:40:44,480 Speaker 1: give up, give you know, and then it's like a 715 00:40:44,520 --> 00:40:46,640 Speaker 1: fun way to tell people that you're doing it, like 716 00:40:46,680 --> 00:40:49,359 Speaker 1: if you fast from alcohol, like everyone's always like, oh, 717 00:40:49,400 --> 00:40:51,239 Speaker 1: you have a problem, But if it's lit, you can 718 00:40:51,280 --> 00:40:56,640 Speaker 1: be like that two years in a row. Yeah, actually, 719 00:40:56,760 --> 00:40:59,120 Speaker 1: give it up. I'm giving it up for salvation actually, 720 00:41:00,000 --> 00:41:02,719 Speaker 1: and that's that's what I'm doing it. This dude is 721 00:41:02,760 --> 00:41:06,600 Speaker 1: doing the opposite of that, the complete opposite. Yeah. A 722 00:41:06,640 --> 00:41:09,719 Speaker 1: man in Ohio del hall, Yeah, del Hall, shout out. 723 00:41:09,719 --> 00:41:13,480 Speaker 1: You're dude, you're getting a dell uh. He is basically saying, 724 00:41:13,600 --> 00:41:16,760 Speaker 1: I'm giving up all food and I'm just drinking beer 725 00:41:16,840 --> 00:41:21,120 Speaker 1: for lent. That's and look he's saying, like, look, I'm 726 00:41:21,160 --> 00:41:23,840 Speaker 1: going to a doctor. I'm very active. I've done a 727 00:41:23,840 --> 00:41:25,719 Speaker 1: lot in my life. I'm like ready to do this. 728 00:41:26,239 --> 00:41:29,000 Speaker 1: I will be drinking water. I'm ready to do this. Yeah, 729 00:41:29,280 --> 00:41:31,440 Speaker 1: He's like it's going to be a challenge. Well, his 730 00:41:31,520 --> 00:41:34,359 Speaker 1: inspiration apparently was there, Like there were German monks who 731 00:41:34,440 --> 00:41:37,400 Speaker 1: would drink like a box style beer for what they 732 00:41:37,560 --> 00:41:40,239 Speaker 1: viewed as a liquid bread during Lent. Bro, this is 733 00:41:40,280 --> 00:41:44,719 Speaker 1: typing alcoholism to just know and like these monks, I 734 00:41:44,719 --> 00:41:46,560 Speaker 1: think we're looking for loopholes to try and figure out, 735 00:41:46,600 --> 00:41:48,960 Speaker 1: like how do how do I like still, you know 736 00:41:49,200 --> 00:41:54,480 Speaker 1: turn it up right? Right? Were monks, We just we 737 00:41:54,560 --> 00:41:58,600 Speaker 1: devoted our lives. Right. But even then, I'm you know, 738 00:41:58,600 --> 00:42:00,239 Speaker 1: I don't know if the monks were just straight up 739 00:42:00,320 --> 00:42:02,839 Speaker 1: drinking nothing but beer. I think they were just being like, Hi, 740 00:42:02,960 --> 00:42:05,360 Speaker 1: we found an argument to drink beer. But he is 741 00:42:05,400 --> 00:42:08,960 Speaker 1: doing it the whole way in and that was so what. 742 00:42:09,080 --> 00:42:11,640 Speaker 1: It's been a few days now. Update as of Mary, 743 00:42:12,000 --> 00:42:17,719 Speaker 1: he has lost over twenty five pounds. Bro what's beer? Well, 744 00:42:17,760 --> 00:42:21,040 Speaker 1: if you don't need anything else, Yo, ladies, let's get 745 00:42:21,080 --> 00:42:27,799 Speaker 1: on this. This is my new started by lazy by 746 00:42:27,880 --> 00:42:30,680 Speaker 1: lay get on my Instagram yelling by by my cases 747 00:42:30,719 --> 00:42:34,759 Speaker 1: of beers, just imagining like you should definitely look at 748 00:42:34,760 --> 00:42:37,560 Speaker 1: a picture of him before you decided to follow that guy, 749 00:42:37,680 --> 00:42:40,680 Speaker 1: because I'm sure he looks like the dude who the 750 00:42:40,719 --> 00:42:44,760 Speaker 1: bugs take over and men and black like Edgar. Yeah, 751 00:42:46,160 --> 00:42:51,879 Speaker 1: character just like pounds and probably like has a big 752 00:42:52,160 --> 00:42:56,040 Speaker 1: goiter on his neck. This is wild and he's like 753 00:42:56,120 --> 00:42:58,359 Speaker 1: getting with a health professional to do is what kind 754 00:42:58,360 --> 00:43:00,839 Speaker 1: of beer is he drinking? This? A box style beer 755 00:43:00,960 --> 00:43:04,880 Speaker 1: just like homebrewed? He works for a brewery, got it? 756 00:43:04,960 --> 00:43:09,120 Speaker 1: So I who sponsoring whatever brewery he works for, because 757 00:43:09,200 --> 00:43:12,880 Speaker 1: that's who's basically behind this saying that you know, look, 758 00:43:13,800 --> 00:43:16,440 Speaker 1: that's what we do do the beer. But don't you 759 00:43:16,640 --> 00:43:25,160 Speaker 1: need nutritious things? Like are you gonna out? Like? This 760 00:43:25,239 --> 00:43:27,600 Speaker 1: is like what sailors used to do is you would 761 00:43:27,640 --> 00:43:30,319 Speaker 1: cross the ocean and only have like beer, and then 762 00:43:30,600 --> 00:43:32,759 Speaker 1: your teeth would fall out and you'd get scurvy. But 763 00:43:32,840 --> 00:43:36,600 Speaker 1: then you you'd like start eating like your shoes and ship. Yeah, 764 00:43:37,840 --> 00:43:39,960 Speaker 1: it's funny because in the article I was reading. The 765 00:43:40,000 --> 00:43:41,799 Speaker 1: person who wrote the article was even like on the 766 00:43:41,840 --> 00:43:44,320 Speaker 1: takeout was there, Like as I read this, I started 767 00:43:44,320 --> 00:43:47,480 Speaker 1: googling how long for scurvy? Because that was their first 768 00:43:47,480 --> 00:43:49,759 Speaker 1: thing too. And if you look on google how long 769 00:43:49,800 --> 00:43:52,440 Speaker 1: for scurvy? It takes a while. Maybe it can be 770 00:43:52,480 --> 00:43:54,480 Speaker 1: four weeks. It all depends, I think, but it can. 771 00:43:54,520 --> 00:43:57,319 Speaker 1: It can hit you in four weeks, allowing itself like 772 00:43:57,400 --> 00:44:00,759 Speaker 1: some orange wedges with his like blue moon. I mean, 773 00:44:01,600 --> 00:44:03,560 Speaker 1: I hope someone catches him, because that's not what you 774 00:44:03,640 --> 00:44:08,680 Speaker 1: agreed to, Dell Hall, come bullshit. I do love when 775 00:44:08,680 --> 00:44:12,359 Speaker 1: people get real scientific about their alcoholism, though, Like, no, see, 776 00:44:12,400 --> 00:44:16,760 Speaker 1: I'm connecting this to a historical research project I'm doing 777 00:44:16,840 --> 00:44:19,359 Speaker 1: where I get to drink right and just who time? 778 00:44:19,719 --> 00:44:23,360 Speaker 1: And aren't you just fucked up the whole day? Yeah? Yeah, 779 00:44:23,520 --> 00:44:25,920 Speaker 1: I mean unless he's really just being like I need calories, 780 00:44:25,920 --> 00:44:27,600 Speaker 1: so he drinks like two beers, but then it's still 781 00:44:27,640 --> 00:44:30,279 Speaker 1: on an empty stomach, right, drinking two beers on the 782 00:44:30,320 --> 00:44:36,959 Speaker 1: emptiest of stomachs, Like I'm sure it's not great. Yeah, 783 00:44:37,200 --> 00:44:39,319 Speaker 1: I want can he go live on Instagram? I just 784 00:44:39,320 --> 00:44:43,640 Speaker 1: want to see him. It was like it's all good 785 00:44:43,760 --> 00:44:48,400 Speaker 1: because this day trying to find and fucking Jesus, he's 786 00:44:48,440 --> 00:44:51,520 Speaker 1: he's he visited me and it's he's just like he's, Doodell, 787 00:44:51,600 --> 00:44:53,840 Speaker 1: you're doing the right thing. I don't know gener anything, 788 00:44:54,200 --> 00:44:57,359 Speaker 1: and it's gonna be fine, dude. And that Doctors like, oh, 789 00:44:57,480 --> 00:45:00,239 Speaker 1: you're too the fun. It's not fun out, you know, 790 00:45:01,560 --> 00:45:06,279 Speaker 1: Dell is mild. Doctors like, you know, just you really 791 00:45:06,320 --> 00:45:10,240 Speaker 1: think about your hell, did you guess? I'm like, fuck you? 792 00:45:14,239 --> 00:45:18,880 Speaker 1: All right, that's gonna do it. For this week's weekly Zeite, guys, 793 00:45:19,000 --> 00:45:22,840 Speaker 1: please like and review the show. If you like the show, 794 00:45:23,440 --> 00:45:27,840 Speaker 1: uh means the world of Miles. He needs your validation. Folks. 795 00:45:28,440 --> 00:45:31,480 Speaker 1: I hope you're having a great weekend and I will 796 00:45:31,520 --> 00:46:18,120 Speaker 1: talk to you Monday. By