1 00:00:00,200 --> 00:00:03,120 Speaker 1: Hello the Internet, and welcome to season fourteen episode tow 2 00:00:03,160 --> 00:00:07,240 Speaker 1: of Dos daile Zite Guys for January seventeen, two thousand eighteen. 3 00:00:07,280 --> 00:00:10,280 Speaker 1: My name is Jack O'Brien a K the Last Jaction Hero. 4 00:00:11,160 --> 00:00:14,400 Speaker 1: That's courtesy of Kyle Welch and in honor of our 5 00:00:14,480 --> 00:00:17,680 Speaker 1: guest today. But first I'm joined by my co host, 6 00:00:17,800 --> 00:00:20,919 Speaker 1: Mr Miles Gray. Thank you so much. Yes it is 7 00:00:21,000 --> 00:00:25,480 Speaker 1: I Miles of Picasso's great here. Thank you to Brian 8 00:00:25,560 --> 00:00:28,880 Speaker 1: Hunger for that very tasteful art. Aka. Did he have 9 00:00:28,880 --> 00:00:31,560 Speaker 1: a great period? No, so that's why we took liberty. 10 00:00:31,560 --> 00:00:33,640 Speaker 1: He had a blue period and that's the only one 11 00:00:33,640 --> 00:00:36,040 Speaker 1: I remember because I was really fucked up during my 12 00:00:36,080 --> 00:00:38,879 Speaker 1: college art classes. There you go, so, and we are 13 00:00:38,880 --> 00:00:42,080 Speaker 1: thrilled to be joined by the Last Action Hero of himself, 14 00:00:42,600 --> 00:00:47,360 Speaker 1: Mr Dan O'Brien a k A Daniel O'Brien, Yes, killer 15 00:00:47,440 --> 00:00:49,599 Speaker 1: a K Dan. This is news to me that I'm 16 00:00:49,600 --> 00:00:53,240 Speaker 1: the last Action here. That's very exciting. You are you're 17 00:00:53,240 --> 00:00:55,160 Speaker 1: a fan of that movie. I'm a huge fan. Try 18 00:00:55,480 --> 00:00:57,840 Speaker 1: onto it is. Oh you love Last Action here? I 19 00:00:57,840 --> 00:01:00,080 Speaker 1: love Last Action? Oh my god, I could talk all 20 00:01:00,120 --> 00:01:04,440 Speaker 1: day about Last Act here. Let's do it Okay, there 21 00:01:04,520 --> 00:01:07,400 Speaker 1: was a lot going on, but I had the biggest 22 00:01:07,400 --> 00:01:10,679 Speaker 1: crush on Bridgie Nielsen. That's her name, right, Bridgie Wilson 23 00:01:10,920 --> 00:01:15,080 Speaker 1: Arnold schwartzeneg. Uh. I'm saying that that right, or something 24 00:01:15,160 --> 00:01:17,440 Speaker 1: from your search history that is revealing about who you 25 00:01:17,520 --> 00:01:19,640 Speaker 1: are as a human being. Uh, this isn't the most 26 00:01:19,920 --> 00:01:23,080 Speaker 1: recent thing, but it feels really relevant. As you know, 27 00:01:23,160 --> 00:01:26,080 Speaker 1: a couple of weeks ago, a bunch of your former 28 00:01:26,640 --> 00:01:28,920 Speaker 1: coworkers employees got laid off and we have like a 29 00:01:28,959 --> 00:01:32,560 Speaker 1: group chat where everyone was sharing like resources and like 30 00:01:32,880 --> 00:01:35,200 Speaker 1: here's how you do unemployment stuff, here's health and share 31 00:01:35,240 --> 00:01:37,160 Speaker 1: and stuff, here's this. Everyone was on top of their ship. 32 00:01:37,440 --> 00:01:39,479 Speaker 1: And then look at my Google search and it's did 33 00:01:39,520 --> 00:01:42,000 Speaker 1: an elephant sit on crush and instantly kill the taco 34 00:01:42,080 --> 00:01:45,200 Speaker 1: bel chuahua. That was the thing that was the most 35 00:01:45,319 --> 00:01:47,880 Speaker 1: important thing for me to find out because that's where 36 00:01:47,880 --> 00:01:51,400 Speaker 1: my priorities are. And did you find the answer? Yeah, 37 00:01:51,440 --> 00:01:54,120 Speaker 1: it didn't. It's one of those weird false memory things 38 00:01:54,200 --> 00:01:56,920 Speaker 1: where I thought, at least there would have been a 39 00:01:57,040 --> 00:01:59,640 Speaker 1: rumor about that at some point, and even that wasn't true. 40 00:02:00,080 --> 00:02:03,960 Speaker 1: The chihuahua died of a stroke. The chihuahua whose name 41 00:02:04,040 --> 00:02:06,400 Speaker 1: was Gidget. It was a girl chiuawa playing a boy 42 00:02:07,240 --> 00:02:10,200 Speaker 1: and it died of a stroke and then typical dog stroke. 43 00:02:10,480 --> 00:02:13,320 Speaker 1: Yeah wow, Yeah, it loves a good life. I think 44 00:02:13,360 --> 00:02:16,360 Speaker 1: it's like ten years old or something like that. And uh, 45 00:02:17,080 --> 00:02:19,160 Speaker 1: then I dug a little bit deeper and found that 46 00:02:19,200 --> 00:02:21,400 Speaker 1: there was this big lawsuit because there was apparently at 47 00:02:21,440 --> 00:02:24,480 Speaker 1: some convention these two guys pitched the idea of the 48 00:02:24,520 --> 00:02:27,480 Speaker 1: Taco Bell Chihuahua dog to Taco Bell and then help 49 00:02:27,560 --> 00:02:31,320 Speaker 1: them develop it for years. And then I saw no 50 00:02:31,480 --> 00:02:33,480 Speaker 1: money from it and sued them and eventually one and 51 00:02:33,480 --> 00:02:35,400 Speaker 1: got thirty five million dollars for helping them come up 52 00:02:35,440 --> 00:02:38,919 Speaker 1: with this Taco Bell campaign. The brilliant campaign of taking 53 00:02:38,960 --> 00:02:42,040 Speaker 1: a dog that's so identified with Mexico and having it 54 00:02:42,120 --> 00:02:44,679 Speaker 1: say you geto Taco Bell write a campaign where a 55 00:02:44,720 --> 00:02:47,639 Speaker 1: lot of people were like, that's you please stop doing that. 56 00:02:47,680 --> 00:02:50,679 Speaker 1: It's very That's why it's really low hanging fruit to 57 00:02:50,760 --> 00:02:54,760 Speaker 1: me create some real one percenter ship having a dog autoxic. 58 00:02:55,160 --> 00:02:59,440 Speaker 1: Yeah that they're like, what did he die of? She jack? Yes, 59 00:03:00,000 --> 00:03:02,320 Speaker 1: apologize she stood up to Godzilla. If you remember in 60 00:03:02,360 --> 00:03:06,359 Speaker 1: a commercial so intimidated the I could never get the 61 00:03:06,440 --> 00:03:08,320 Speaker 1: z ps though to win a million dollars anyway, that's 62 00:03:08,320 --> 00:03:11,480 Speaker 1: the whole ofther story. Daniel, what's something that's overrated? I 63 00:03:11,520 --> 00:03:15,000 Speaker 1: wanted to talk about method acting. I think it's very overrated. 64 00:03:15,040 --> 00:03:16,959 Speaker 1: And this is I'm coming to this because did you 65 00:03:16,960 --> 00:03:19,960 Speaker 1: guys talking about the Jim Andy Dutt show. Damn it? Well, 66 00:03:20,400 --> 00:03:23,000 Speaker 1: that drove me crazy, and it was it was really 67 00:03:23,040 --> 00:03:26,760 Speaker 1: infuriating and and uh, totally unnecessary. I think it that 68 00:03:26,880 --> 00:03:29,720 Speaker 1: particularly stood out to me because Jim Carrey was such 69 00:03:29,760 --> 00:03:32,919 Speaker 1: a menace onset when he was being Tony Clifton. And 70 00:03:33,400 --> 00:03:35,880 Speaker 1: the whole argument for method acting is that, well, it 71 00:03:35,920 --> 00:03:39,320 Speaker 1: gets these really great results. Oh yeah, did uh Paul 72 00:03:39,360 --> 00:03:41,960 Speaker 1: Giomanti pretend to be Tony Clifton doing the exact same 73 00:03:42,160 --> 00:03:44,880 Speaker 1: fucking performance in that movie and get like the whole 74 00:03:45,280 --> 00:03:48,120 Speaker 1: the whole like gag of Paul Giamati also being Tony 75 00:03:48,120 --> 00:03:50,040 Speaker 1: Clifton is that no one can tell them apart and 76 00:03:50,240 --> 00:03:52,160 Speaker 1: he didn't do any of that method acting stuff, and 77 00:03:52,640 --> 00:03:57,920 Speaker 1: who's better? It always it's like exclusively employed by white 78 00:03:58,000 --> 00:04:01,280 Speaker 1: male actors because it just seems like that's they're gonna 79 00:04:01,280 --> 00:04:03,480 Speaker 1: be able to. Jared let was gonna get away with 80 00:04:03,600 --> 00:04:07,560 Speaker 1: sending people condoms and dead rats on set, and Will 81 00:04:07,600 --> 00:04:09,280 Speaker 1: Smith will not That's just like not a thing that 82 00:04:09,680 --> 00:04:13,040 Speaker 1: is going to happen because it's just easier for white 83 00:04:13,080 --> 00:04:15,920 Speaker 1: men to be problems on set, and it just tragging 84 00:04:15,920 --> 00:04:18,080 Speaker 1: a little bit bonkers. There's no method performance that I've 85 00:04:18,080 --> 00:04:22,719 Speaker 1: thought it was really necessary for whatever suffering went into it. See, 86 00:04:22,720 --> 00:04:25,720 Speaker 1: I always heard Will Smith was actually like the fresh 87 00:04:25,800 --> 00:04:31,240 Speaker 1: prince on on set. Um, Yeah, that's that. That is 88 00:04:31,320 --> 00:04:34,000 Speaker 1: always somewhat obnoxious to me. I feel like that's sort 89 00:04:34,040 --> 00:04:36,240 Speaker 1: of a thing that I don't know, you used to 90 00:04:36,279 --> 00:04:37,960 Speaker 1: be able to get away with, and now people are 91 00:04:38,040 --> 00:04:41,640 Speaker 1: just like but now I feel like there's only a 92 00:04:41,680 --> 00:04:44,640 Speaker 1: few people who I don't know, Like I'm I like 93 00:04:44,760 --> 00:04:47,520 Speaker 1: Daniel day Lewis, I'm just like, well, whatever, bro, like 94 00:04:47,640 --> 00:04:49,520 Speaker 1: you're you're bringing it on screens, whatever the funk you 95 00:04:49,560 --> 00:04:52,159 Speaker 1: gotta do. Like, And I saw him a Fantom Threat, 96 00:04:52,160 --> 00:04:55,040 Speaker 1: and he's really great in Phantom Thread. But I also 97 00:04:55,160 --> 00:04:58,880 Speaker 1: hear so many actors like uh Alan Rickman or Jeremy 98 00:04:58,920 --> 00:05:00,800 Speaker 1: Irons where they're like, go to set and you do 99 00:05:00,920 --> 00:05:02,200 Speaker 1: your lines and you say your thing, and like you 100 00:05:02,279 --> 00:05:03,640 Speaker 1: wear the costs and they tell you to where and 101 00:05:03,680 --> 00:05:06,000 Speaker 1: I was like, all your performances were great. I went 102 00:05:06,040 --> 00:05:08,040 Speaker 1: to a thousand Tom Hanks performances that were great that 103 00:05:08,080 --> 00:05:12,320 Speaker 1: weren't method acting. Yeah, it's true. Hey, you feel like 104 00:05:12,880 --> 00:05:15,920 Speaker 1: Daniel day Lewis is like so like, I don't know. 105 00:05:16,040 --> 00:05:19,000 Speaker 1: Durant Phantom Thread convinced me, Okay, he's like some sort 106 00:05:19,040 --> 00:05:22,040 Speaker 1: of next level actor like he I don't know. It 107 00:05:22,120 --> 00:05:24,480 Speaker 1: just seemed like it was a different level of acting 108 00:05:24,560 --> 00:05:26,360 Speaker 1: than I had seen before. Did you like fanom Thread 109 00:05:26,360 --> 00:05:29,480 Speaker 1: a whole lot? Uh? I liked it, Yeah, I did. 110 00:05:29,680 --> 00:05:32,200 Speaker 1: I feel like the craziest person on the planet. Yeah, 111 00:05:32,240 --> 00:05:34,080 Speaker 1: I really didn't like it. I also think I'm just 112 00:05:34,600 --> 00:05:40,400 Speaker 1: in uh our climate. I feel like, forty minutes into 113 00:05:40,440 --> 00:05:43,320 Speaker 1: that movie, I thought I wanted to scream because we're 114 00:05:43,360 --> 00:05:46,920 Speaker 1: making another movie about a troubled, complicated white man gene 115 00:05:47,640 --> 00:05:50,000 Speaker 1: and it just it. I didn't stand up and scream 116 00:05:50,040 --> 00:05:53,080 Speaker 1: that because Paul Thomas Anderson is still an incredible filmmaker 117 00:05:53,160 --> 00:05:57,599 Speaker 1: and Daniel day Lewis is infinitely watchable, and uh the actress, 118 00:05:57,640 --> 00:05:59,280 Speaker 1: who had never seen before was incredible, but she was 119 00:05:59,320 --> 00:06:01,160 Speaker 1: still just like, you're gonna make a movie about the 120 00:06:01,160 --> 00:06:04,640 Speaker 1: fashion industry and it's gonna be starring this like torture genius, 121 00:06:04,680 --> 00:06:09,479 Speaker 1: straight white male. I'm I am losing my mind over this. Yeah, 122 00:06:09,560 --> 00:06:12,279 Speaker 1: I do feel like he was somewhat of a comedic 123 00:06:12,520 --> 00:06:15,440 Speaker 1: character like you were, that you were able to laugh 124 00:06:15,520 --> 00:06:19,280 Speaker 1: at what a complete asshole he was. But yeah, he was. 125 00:06:19,360 --> 00:06:23,320 Speaker 1: He was a lot to take, and I would imagine 126 00:06:23,520 --> 00:06:26,960 Speaker 1: being a method actor in that character on set would 127 00:06:27,000 --> 00:06:29,520 Speaker 1: have been awful to take. And in fact, I heard 128 00:06:29,520 --> 00:06:32,520 Speaker 1: an interview with Paul Thomas Anderson where he said that 129 00:06:33,040 --> 00:06:36,200 Speaker 1: you couldn't like make noise on set around him because 130 00:06:36,400 --> 00:06:40,400 Speaker 1: he was he was in character as this character who 131 00:06:40,520 --> 00:06:46,920 Speaker 1: like hated hearing noises, so sets get pretty Uh, do 132 00:06:47,080 --> 00:06:50,360 Speaker 1: not break down that one, K what's something that's underrated? 133 00:06:50,960 --> 00:06:54,760 Speaker 1: I wanted to say, William Shatner's spoken word album has 134 00:06:54,800 --> 00:07:00,360 Speaker 1: been yes from many years ago, and that people I 135 00:07:00,480 --> 00:07:04,200 Speaker 1: know who have heard it, we all agree that it's incredible, 136 00:07:04,240 --> 00:07:07,040 Speaker 1: but just it's not the kind of thing that anyone 137 00:07:07,080 --> 00:07:09,800 Speaker 1: will ever seek out. Like I, I didn't seek it out. 138 00:07:09,960 --> 00:07:12,360 Speaker 1: I found it because I wasn't a Shatner fan. I 139 00:07:12,440 --> 00:07:14,440 Speaker 1: was a Ben Folds fan, and ben Folds produced it 140 00:07:14,760 --> 00:07:17,000 Speaker 1: and they had a lot of great guests all over 141 00:07:17,160 --> 00:07:20,800 Speaker 1: the this album, and it's just really beautiful songs with 142 00:07:21,000 --> 00:07:24,520 Speaker 1: William Shatner's prose, and they do a cover of Common 143 00:07:24,600 --> 00:07:27,480 Speaker 1: People with Joe Cocker and it's and it gets me 144 00:07:28,400 --> 00:07:30,160 Speaker 1: in such a good mood, gets me so ampt every 145 00:07:30,200 --> 00:07:32,560 Speaker 1: time I hear it, and I just feel like, uh, 146 00:07:32,760 --> 00:07:37,520 Speaker 1: give it a chance, common People. Yeah, wait till you 147 00:07:37,600 --> 00:07:40,520 Speaker 1: hear Ben Folds, Joe Cocker and William Shatner do it. 148 00:07:40,800 --> 00:07:44,840 Speaker 1: Does he just speak the lyrics. He speaks the lyrics, 149 00:07:44,920 --> 00:07:47,880 Speaker 1: but he's you know, he's he's he's a trained actors, 150 00:07:47,920 --> 00:07:49,720 Speaker 1: so there's so much drama and how he delivers it, 151 00:07:49,800 --> 00:07:53,160 Speaker 1: and and it's very rallying if you think about what 152 00:07:53,320 --> 00:07:55,000 Speaker 1: that song is about, just the idea of like this 153 00:07:55,200 --> 00:07:57,920 Speaker 1: guy turning it into this, not trying into because it 154 00:07:57,920 --> 00:08:00,040 Speaker 1: already is like an anthem for common people. But it 155 00:08:00,360 --> 00:08:03,520 Speaker 1: uh don't I just hear it with his gravitas and 156 00:08:04,120 --> 00:08:08,720 Speaker 1: Joe Cocker screaming singing in the background, Joe Cocker, Who 157 00:08:08,720 --> 00:08:15,240 Speaker 1: am I thinking of? Joe Jackson? Joe Jackson also named Joe. Yeah, 158 00:08:15,920 --> 00:08:18,800 Speaker 1: all right, let's get into format. We're trying to take 159 00:08:18,840 --> 00:08:22,280 Speaker 1: a sample of the global shared consciousness. Right now today, 160 00:08:22,440 --> 00:08:24,320 Speaker 1: at the moment that we record it, and we like 161 00:08:24,440 --> 00:08:26,960 Speaker 1: to open by asking our guest, what is a myth 162 00:08:27,480 --> 00:08:31,400 Speaker 1: something you know to be not true? That most people 163 00:08:31,760 --> 00:08:35,160 Speaker 1: believe New Jersey is an amazing and beautiful state and 164 00:08:36,600 --> 00:08:39,559 Speaker 1: everyone has been shifting on it for a number of years. 165 00:08:39,559 --> 00:08:41,120 Speaker 1: I think a lot of times because people when they 166 00:08:41,200 --> 00:08:43,959 Speaker 1: fly into New Jersey, they fly into Newark, which is 167 00:08:44,000 --> 00:08:47,480 Speaker 1: the smelliest and like most industrial and worst part of 168 00:08:47,520 --> 00:08:51,960 Speaker 1: New Jersey. Uh. And also I think people just really 169 00:08:51,960 --> 00:08:56,720 Speaker 1: believe that, like culturally, people need things they can bully 170 00:08:56,760 --> 00:08:59,600 Speaker 1: and shift on, and like Jersey and Florida have occupied 171 00:08:59,640 --> 00:09:02,760 Speaker 1: that play for my entire lifetime, and a lot of 172 00:09:02,800 --> 00:09:05,760 Speaker 1: it just seems very easy and hack at this point, 173 00:09:05,840 --> 00:09:08,439 Speaker 1: like Jay Leno would make jokes about Jersey and so 174 00:09:08,520 --> 00:09:11,120 Speaker 1: people just assumed like, Okay, Jersey, bad Jersey garbage, ha 175 00:09:11,200 --> 00:09:14,240 Speaker 1: ha ha j Jersey Shore comes out and people are like, ah, yes, 176 00:09:14,320 --> 00:09:18,240 Speaker 1: that is representative of that place. And as a U, 177 00:09:18,559 --> 00:09:21,079 Speaker 1: it was not clear I'm from New Jersey, I'm not 178 00:09:21,200 --> 00:09:28,240 Speaker 1: just yeah, Um, it's just a beautiful state that contains everything. 179 00:09:28,320 --> 00:09:32,200 Speaker 1: It's a really good, uh microcosm of of the United States. 180 00:09:32,200 --> 00:09:34,520 Speaker 1: Have always felt because I've traveled everywhere in this country, 181 00:09:34,520 --> 00:09:36,520 Speaker 1: and I feel like we have like really great farmlands. 182 00:09:36,559 --> 00:09:39,800 Speaker 1: We have uh no mountains, but still like decent hikes, 183 00:09:40,000 --> 00:09:42,000 Speaker 1: and we also have cities, and we have great Italian 184 00:09:42,040 --> 00:09:45,560 Speaker 1: food and great pizza and great beaches pizza. It's such 185 00:09:45,600 --> 00:09:47,800 Speaker 1: good pizza. This is funny because Howard Kreamer when he 186 00:09:47,920 --> 00:09:50,880 Speaker 1: was on when Jack was dealing with the fire, he's 187 00:09:50,880 --> 00:09:53,160 Speaker 1: also from New Jersey, and we talked. We brought this 188 00:09:53,280 --> 00:09:55,079 Speaker 1: up because I feel like the valley has sort of 189 00:09:55,440 --> 00:09:57,439 Speaker 1: like it's sort of a parallel thing in l A 190 00:09:57,559 --> 00:09:59,520 Speaker 1: where people who like moved a like all the valleys 191 00:09:59,520 --> 00:10:01,440 Speaker 1: gross like people and like who moved to the city 192 00:10:01,440 --> 00:10:03,360 Speaker 1: in New York like Jersey blah blah blah. And I 193 00:10:03,440 --> 00:10:04,959 Speaker 1: was like, Oh, you don't think it's like I'm like, 194 00:10:04,960 --> 00:10:06,880 Speaker 1: what do you think about your is like nots it's trash. 195 00:10:07,360 --> 00:10:09,800 Speaker 1: So it's interesting they think like there are people like 196 00:10:09,960 --> 00:10:12,160 Speaker 1: you who you have the you have the Garden State pride, 197 00:10:12,440 --> 00:10:13,800 Speaker 1: and then there are other people who are just like 198 00:10:13,920 --> 00:10:15,520 Speaker 1: ashamed of it, And do you think that's just sort 199 00:10:15,559 --> 00:10:17,520 Speaker 1: of like of years of feeling bad about being from 200 00:10:17,600 --> 00:10:19,679 Speaker 1: Jersey that like that it creates that like yeah, I don't. 201 00:10:19,720 --> 00:10:21,320 Speaker 1: I don't like it. Or do you think is there 202 00:10:21,320 --> 00:10:23,600 Speaker 1: any validity to someone thinking that Jersey is a garbage state? 203 00:10:24,320 --> 00:10:26,760 Speaker 1: I mean, I don't want to call him a liar, 204 00:10:26,920 --> 00:10:29,679 Speaker 1: but if I may answer someone who's not from New 205 00:10:29,760 --> 00:10:34,240 Speaker 1: Jersey but spent my summers there, I think it's like 206 00:10:34,400 --> 00:10:37,079 Speaker 1: Daniel said, it contains everything, and so it's really a 207 00:10:37,120 --> 00:10:40,120 Speaker 1: matter of what you focus on. And so like I 208 00:10:40,640 --> 00:10:44,720 Speaker 1: so my family uh reunions on my mom's side would 209 00:10:44,760 --> 00:10:48,400 Speaker 1: happen in uh beach town called Ocean City, uh. And 210 00:10:48,520 --> 00:10:51,839 Speaker 1: then my dad's reunions, my dad's side of the family 211 00:10:51,880 --> 00:10:55,160 Speaker 1: reunions would happen in Sea Isle and which is like 212 00:10:55,360 --> 00:10:59,040 Speaker 1: one island over and Ocean City is like this just 213 00:10:59,720 --> 00:11:02,600 Speaker 1: great town. It's like a dry town that has never 214 00:11:03,080 --> 00:11:06,559 Speaker 1: like just had any of the Jersey shore noess that 215 00:11:06,720 --> 00:11:11,559 Speaker 1: you saw in the MTV show See I'll like, yeah, 216 00:11:11,720 --> 00:11:13,520 Speaker 1: like has a little bit more of that vibe. So 217 00:11:13,640 --> 00:11:16,120 Speaker 1: it's like you can go from one island to the 218 00:11:16,240 --> 00:11:19,719 Speaker 1: next and it's you have two totally different atmosphere. So 219 00:11:19,760 --> 00:11:22,000 Speaker 1: it's New Jersey your ancestral home. If you have these 220 00:11:22,000 --> 00:11:24,840 Speaker 1: family unions are like your family's just like that's where 221 00:11:25,240 --> 00:11:27,760 Speaker 1: both sides of my family would spend their summers. But 222 00:11:28,040 --> 00:11:30,880 Speaker 1: it's like, my family's from Philadelphia. I feel like I've 223 00:11:30,960 --> 00:11:32,760 Speaker 1: never been because Jack and I used to work together, 224 00:11:32,880 --> 00:11:34,240 Speaker 1: and I don't know if you have this problem. I 225 00:11:34,280 --> 00:11:37,599 Speaker 1: can never exactly pin down where he's from, and it 226 00:11:37,679 --> 00:11:39,280 Speaker 1: depends on the guess. It was like, yeah, I grew 227 00:11:39,360 --> 00:11:42,640 Speaker 1: up there too, just you were from Kentucky. The other weekend, 228 00:11:43,840 --> 00:11:45,520 Speaker 1: I just introduced him to a buddy of mine and 229 00:11:45,520 --> 00:11:47,840 Speaker 1: I was like, oh, Brian, this is Jack Jack. Brian's 230 00:11:47,880 --> 00:11:52,600 Speaker 1: from Boston. Like are you from Boston? Well, because people 231 00:11:52,640 --> 00:11:55,840 Speaker 1: from so people from Boston will be like, oh, so where, 232 00:11:56,080 --> 00:11:58,040 Speaker 1: Like how long do you live in Boston? I only 233 00:11:58,320 --> 00:12:01,400 Speaker 1: lived there really for two years. Uh, and that does 234 00:12:01,480 --> 00:12:04,600 Speaker 1: not qualify me as being from Boston to people from Boston. 235 00:12:04,679 --> 00:12:07,400 Speaker 1: I feel like my whole life I associated you with Boston. Yeah, 236 00:12:07,400 --> 00:12:11,360 Speaker 1: because that's where I had a couple very formative years 237 00:12:11,600 --> 00:12:17,240 Speaker 1: and literally, yeah, literally a couple. All right, let's get 238 00:12:17,320 --> 00:12:20,839 Speaker 1: into the stories of the day. Uh. The thing that 239 00:12:21,120 --> 00:12:23,160 Speaker 1: a lot of people are talking about right now is 240 00:12:23,600 --> 00:12:28,600 Speaker 1: that the president aced his cognitive exam and UH aced 241 00:12:28,679 --> 00:12:32,480 Speaker 1: his physical exam. He is the same height and body 242 00:12:32,720 --> 00:12:38,280 Speaker 1: weight as uh NFL quarterback Jay Cutler tall, live athletic 243 00:12:38,440 --> 00:12:42,880 Speaker 1: Jay Cutler, sameh same frame. Apparently when you look at 244 00:12:42,960 --> 00:12:45,520 Speaker 1: them next to one another, that that would seem to 245 00:12:45,600 --> 00:12:50,040 Speaker 1: be physically impossible. Um. Well, I was worried. But then 246 00:12:50,080 --> 00:12:51,959 Speaker 1: I saw on the internet that the president is big 247 00:12:52,000 --> 00:12:54,000 Speaker 1: and strong and smart, so I could just check out 248 00:12:54,040 --> 00:12:57,599 Speaker 1: in it. Yeah, there's no problem there. Um but so 249 00:12:58,240 --> 00:13:03,360 Speaker 1: uh the president allegedly requested a cognitive exam so he could, 250 00:13:03,679 --> 00:13:06,520 Speaker 1: you know, show all those people hating him, the haters, 251 00:13:06,960 --> 00:13:10,079 Speaker 1: that he is in top notch condition and is in 252 00:13:10,240 --> 00:13:13,280 Speaker 1: fact very stable genius. Uh. And he got a thirty 253 00:13:13,360 --> 00:13:17,520 Speaker 1: for thirty. Um not an ESPN documentary. He got a 254 00:13:17,640 --> 00:13:21,839 Speaker 1: score of thirty out of thirty. And uh yeah, I 255 00:13:21,880 --> 00:13:24,760 Speaker 1: mean he's smart that I was impressed until I saw 256 00:13:24,840 --> 00:13:28,000 Speaker 1: the exam. It's like got a drawing of a lion 257 00:13:28,160 --> 00:13:30,720 Speaker 1: and is like, what is this animal? And he has 258 00:13:30,800 --> 00:13:35,480 Speaker 1: to name that correctly. There there's one hard question. There's 259 00:13:35,480 --> 00:13:38,439 Speaker 1: a hard Yeah, there's one hard question where uh you 260 00:13:38,600 --> 00:13:42,000 Speaker 1: have to remember like a series of five words a 261 00:13:42,080 --> 00:13:45,400 Speaker 1: couple of minutes after they're said to you. Uh. So 262 00:13:46,120 --> 00:13:48,360 Speaker 1: you know, but it could do that. It's weird. Because 263 00:13:48,400 --> 00:13:50,959 Speaker 1: we were saying, like, his the weight that he came 264 00:13:51,040 --> 00:13:53,480 Speaker 1: in for his height, which is like, so they're saying 265 00:13:53,559 --> 00:13:58,240 Speaker 1: he's was six three for a b M I score 266 00:13:58,760 --> 00:14:01,680 Speaker 1: technically puts you just to what one pound below obese? 267 00:14:01,760 --> 00:14:06,119 Speaker 1: One pound below obese? What a lucky stroke of damn interesting. 268 00:14:06,480 --> 00:14:09,640 Speaker 1: So yeah, that was my friend Chris sent me that 269 00:14:09,760 --> 00:14:12,319 Speaker 1: this morning. He was like, isn't that lucky? Isn't that amazing? Wait, 270 00:14:12,400 --> 00:14:16,040 Speaker 1: but it is even six three. Uh, it still says 271 00:14:16,160 --> 00:14:18,439 Speaker 1: six ft two, Like that's still what the Internet has 272 00:14:18,640 --> 00:14:22,080 Speaker 1: decided he is. Google google President Trump's height, it'll say 273 00:14:22,120 --> 00:14:24,600 Speaker 1: six to h. There are lots of pictures of him 274 00:14:24,720 --> 00:14:27,960 Speaker 1: next to people who are six ft one, and he 275 00:14:28,120 --> 00:14:31,880 Speaker 1: looks either shorter or exactly the same height as them. Uh. 276 00:14:31,960 --> 00:14:35,120 Speaker 1: There is a picture of him next to uh Jeb 277 00:14:35,160 --> 00:14:39,040 Speaker 1: Bush during the debates, and Jeb Bush seems to be 278 00:14:39,240 --> 00:14:41,880 Speaker 1: at least two inches taller than him. Jet Jeb Bush 279 00:14:41,960 --> 00:14:45,640 Speaker 1: is six three, So yeah, six three is one of 280 00:14:45,680 --> 00:14:50,760 Speaker 1: those rea heights like Charles Barkley was six eight, is 281 00:14:50,760 --> 00:14:55,280 Speaker 1: actually like six ft three. Uh yeah. So um, that's 282 00:14:55,280 --> 00:14:57,080 Speaker 1: why I think there's maybe a little foolery going on, 283 00:14:57,520 --> 00:15:01,080 Speaker 1: sadly with that doctor Yeah, it's interesting because the doctor, 284 00:15:01,240 --> 00:15:04,800 Speaker 1: like we looked into him, he was appointed by President Obama. Um, 285 00:15:05,200 --> 00:15:09,560 Speaker 1: so it's not like he's Trump's crazy like hack partisan. 286 00:15:09,640 --> 00:15:14,320 Speaker 1: How even though his name is what doctor Dr Dr Ronnie? Hey, 287 00:15:14,480 --> 00:15:18,320 Speaker 1: Dr Ronny called Dr Ronnie. Uh yeah, that does sound 288 00:15:18,400 --> 00:15:25,400 Speaker 1: like a Jersey Shore nickname, Ran Ronnie and went to 289 00:15:25,520 --> 00:15:31,200 Speaker 1: high school with her with sam Sammy. No, that was crazy. 290 00:15:31,640 --> 00:15:33,240 Speaker 1: That was the thing that was like super embarrassing when 291 00:15:33,280 --> 00:15:35,680 Speaker 1: that show came out and everyone's like, oh is this what? What? 292 00:15:37,840 --> 00:15:43,520 Speaker 1: Well Sammy was with me? Snooky's my friend's cousin. Yeah, yeah, 293 00:15:45,520 --> 00:15:47,960 Speaker 1: what super Producer Ande Hoosie has a look of shock. 294 00:15:48,200 --> 00:15:57,360 Speaker 1: What happened? Oh just because I thought that President Trump 295 00:15:57,400 --> 00:16:00,320 Speaker 1: had resigned or something like that. But based on concer 296 00:16:00,880 --> 00:16:04,680 Speaker 1: Anna Hosnie's face and it was actually her response to 297 00:16:04,920 --> 00:16:09,320 Speaker 1: Daniel knowing members of the Jersey shortcast. Uh there's also 298 00:16:09,800 --> 00:16:12,600 Speaker 1: Eric Trump was on Fox News talking about his dad. 299 00:16:12,680 --> 00:16:15,640 Speaker 1: How's dad is color blind? Because he can't be racist? 300 00:16:16,160 --> 00:16:18,920 Speaker 1: Oh that's not racist. That was not a cognitive thing, 301 00:16:19,000 --> 00:16:21,480 Speaker 1: got it. Yeah, he said his dad only sees one 302 00:16:21,520 --> 00:16:23,960 Speaker 1: color and it's green. I don't know which would be 303 00:16:24,080 --> 00:16:26,320 Speaker 1: troubling physically. Yeah, this is on Fox and Friends. I 304 00:16:26,360 --> 00:16:29,160 Speaker 1: think this morning people in that meeting says some things 305 00:16:29,240 --> 00:16:31,720 Speaker 1: about race and that people are calling him a racist 306 00:16:31,720 --> 00:16:33,960 Speaker 1: for the last five or six days. Um, I know 307 00:16:34,040 --> 00:16:35,920 Speaker 1: you don't agree with that, but is there anything you 308 00:16:36,000 --> 00:16:38,400 Speaker 1: could bring to this conversation you think is important? That 309 00:16:38,520 --> 00:16:41,440 Speaker 1: my father sees one color green. That's all he cares about. 310 00:16:41,480 --> 00:16:44,000 Speaker 1: He cares about the economy, right, he does not see ray. 311 00:16:44,000 --> 00:16:46,400 Speaker 1: He's the least racist person I've ever met in my 312 00:16:46,640 --> 00:16:51,960 Speaker 1: entire life. It's totally nonsense. The least racist person that 313 00:16:52,120 --> 00:16:54,120 Speaker 1: come on, who's the least racist person you've ever met? 314 00:16:54,240 --> 00:16:56,040 Speaker 1: We were saying that, how can you even give anyone 315 00:16:56,120 --> 00:16:58,640 Speaker 1: that title? That's ridiculous. I think the only person that 316 00:16:58,720 --> 00:17:00,840 Speaker 1: makes sense he's be like, well, Martin with your King Jr. 317 00:17:01,240 --> 00:17:03,840 Speaker 1: Was the least racist person to live. I know plenty 318 00:17:03,880 --> 00:17:06,840 Speaker 1: of people that I don't think are racist, but even like, 319 00:17:07,200 --> 00:17:11,040 Speaker 1: like to give someone that title just seems impossible. Well, 320 00:17:11,080 --> 00:17:13,760 Speaker 1: Trump loves superlatives, you know what I mean. So you know, 321 00:17:13,800 --> 00:17:17,600 Speaker 1: I was voted at least racist person in my high school. So, like, 322 00:17:17,720 --> 00:17:20,879 Speaker 1: I think it's something he would lie about. Also that 323 00:17:21,040 --> 00:17:24,600 Speaker 1: that would normally be like a president's child, being like 324 00:17:24,720 --> 00:17:27,440 Speaker 1: he only sees green would be like an angsty thing 325 00:17:27,680 --> 00:17:31,359 Speaker 1: that like the way they would criticize that, but and 326 00:17:31,920 --> 00:17:38,120 Speaker 1: like when you didn't because um yeah. But other other 327 00:17:38,960 --> 00:17:41,560 Speaker 1: things that he needed to now for the cognitive exam 328 00:17:41,680 --> 00:17:46,480 Speaker 1: include drawing a clock at eleven? Uh was it ten 329 00:17:46,560 --> 00:17:52,399 Speaker 1: past eleven? So that's something uh really like the just 330 00:17:52,480 --> 00:17:55,280 Speaker 1: looking at this quiz, it really goes downhill quickly, Like 331 00:17:55,359 --> 00:17:59,120 Speaker 1: the very first category is visuo spatial slash executive, which 332 00:17:59,640 --> 00:18:02,800 Speaker 1: very it sounds pretty advanced. And then question number two, 333 00:18:03,040 --> 00:18:07,480 Speaker 1: draw a clock, question three naming one of these animals 334 00:18:07,480 --> 00:18:09,760 Speaker 1: are right, right? And what's funny is the guy who 335 00:18:10,080 --> 00:18:12,960 Speaker 1: created that test, he's like a Lebanese Canadian immigrant and 336 00:18:13,040 --> 00:18:15,000 Speaker 1: he was like finding it ironic. He's like that he's 337 00:18:15,040 --> 00:18:17,399 Speaker 1: depending on somebody with all his like Muslim bands and 338 00:18:17,840 --> 00:18:21,200 Speaker 1: anti immigrant ship that oh, like I my test bailed 339 00:18:21,240 --> 00:18:23,120 Speaker 1: you out, or you're trying to act like this test 340 00:18:23,240 --> 00:18:25,359 Speaker 1: made you seem that you are the most sane and 341 00:18:25,640 --> 00:18:28,000 Speaker 1: stable person. But he also points out that that test 342 00:18:28,359 --> 00:18:31,280 Speaker 1: has its flaws and it's also like it just sort 343 00:18:31,320 --> 00:18:33,520 Speaker 1: of it's bent meant to do a basic just be like, okay, 344 00:18:33,600 --> 00:18:35,520 Speaker 1: your brain is sort of working, but it doesn't test 345 00:18:35,560 --> 00:18:38,200 Speaker 1: like anything psychological or judgment or anything like that. That 346 00:18:38,280 --> 00:18:40,880 Speaker 1: guy who made the quiz uh is maybe the most 347 00:18:40,960 --> 00:18:43,840 Speaker 1: sweetly naive person I've ever heard in my life, because 348 00:18:43,840 --> 00:18:45,879 Speaker 1: he was interviewed and he was like, maybe the President 349 00:18:45,960 --> 00:18:50,000 Speaker 1: will learn from this and soften on his immigration. Oh buddy, 350 00:18:50,640 --> 00:18:52,040 Speaker 1: do you think he's gonna know? You made the cut 351 00:18:52,119 --> 00:18:54,399 Speaker 1: back to the studio and they're just all like wiping 352 00:18:54,480 --> 00:18:57,399 Speaker 1: tears from their eyes, laughing so hard. Yeah, yeah, I 353 00:18:57,480 --> 00:19:01,840 Speaker 1: know that's probably gonna happen. Uh. So, apparently, Miles, you 354 00:19:01,920 --> 00:19:04,760 Speaker 1: were saying that Doctor Sanjay Gupta also spoke with Dr 355 00:19:04,880 --> 00:19:08,480 Speaker 1: Ronnie about the President's heart health. Yeah, because apparently, like 356 00:19:08,520 --> 00:19:12,200 Speaker 1: in two thousand nine, Gupta had heard that Trump had 357 00:19:12,280 --> 00:19:16,040 Speaker 1: basically started having these quote tests that are actually looking 358 00:19:16,119 --> 00:19:18,119 Speaker 1: for the presence of calcium in the blood vessels that 359 00:19:18,240 --> 00:19:20,800 Speaker 1: lead to the heart, and steadily, up until this past 360 00:19:20,840 --> 00:19:22,960 Speaker 1: week when he had to perform it again, those numbers 361 00:19:23,000 --> 00:19:24,480 Speaker 1: have gone up and when they get to a certain 362 00:19:24,520 --> 00:19:27,280 Speaker 1: age that means you have heart disease. So grouped to 363 00:19:27,359 --> 00:19:30,240 Speaker 1: followed up with Dr Ronnie uh and was like asking 364 00:19:30,320 --> 00:19:32,240 Speaker 1: him about these tests and this is what he had 365 00:19:32,280 --> 00:19:34,080 Speaker 1: to say, quote, it was interesting when I spoke to 366 00:19:34,160 --> 00:19:36,000 Speaker 1: Dr Jackson. At first he said he had passed all 367 00:19:36,040 --> 00:19:38,200 Speaker 1: the tests with flying colors. Groupeda said, when I asked 368 00:19:38,320 --> 00:19:41,520 Speaker 1: him specifically about that test about the calcium, he did 369 00:19:41,600 --> 00:19:45,120 Speaker 1: then concede that in fact the president does have heart disease. 370 00:19:45,720 --> 00:19:48,560 Speaker 1: They're going to be increasing medications, including clustered all lower medications, 371 00:19:48,600 --> 00:19:51,479 Speaker 1: etceter etcetera. So basically what they're saying, I mean, one 372 00:19:51,520 --> 00:19:54,240 Speaker 1: way to look at is that he's technically within the threshold, 373 00:19:54,480 --> 00:19:56,920 Speaker 1: a measurable threshold that will put you say technically that 374 00:19:57,000 --> 00:19:59,560 Speaker 1: you do have heart disease. But the doctor is saying 375 00:19:59,600 --> 00:20:02,679 Speaker 1: like it's manageable or whatever. Yeah, And so I mean, 376 00:20:02,720 --> 00:20:05,200 Speaker 1: I want to trust this guy because he's a doctor 377 00:20:05,280 --> 00:20:08,640 Speaker 1: who was appointed by Obama. He's also a military guy, 378 00:20:08,920 --> 00:20:12,240 Speaker 1: and the people who most benefit from having Trump and 379 00:20:12,320 --> 00:20:15,480 Speaker 1: power are also the military guys who are actually running 380 00:20:15,520 --> 00:20:20,080 Speaker 1: our country. Um. But yeah, like that he was specifically asked. 381 00:20:20,119 --> 00:20:22,480 Speaker 1: People were like, wait, so how is he so healthy 382 00:20:23,040 --> 00:20:26,120 Speaker 1: if based on the diet that he eats, and Doc 383 00:20:26,320 --> 00:20:29,400 Speaker 1: Doc Ronnie was like, Oh, he's just got the best 384 00:20:29,480 --> 00:20:32,480 Speaker 1: genes I've ever seen. He's the perfect genes genetically he's 385 00:20:32,640 --> 00:20:34,800 Speaker 1: he's the best. It makes me feel like a crazy 386 00:20:34,880 --> 00:20:36,560 Speaker 1: person though, because, like I also, as soon as I 387 00:20:36,640 --> 00:20:39,240 Speaker 1: hear about this, it makes me start to question, is 388 00:20:39,320 --> 00:20:41,920 Speaker 1: this doctor on the level? And that makes me feel 389 00:20:41,960 --> 00:20:45,920 Speaker 1: like a conspiracy theorist because because if he had given 390 00:20:46,000 --> 00:20:47,879 Speaker 1: me the information that I believe in my heart to 391 00:20:47,920 --> 00:20:51,200 Speaker 1: be true, I wouldn't be questioning anything. Right, this doctor 392 00:20:51,240 --> 00:20:54,720 Speaker 1: who Obama appointed, It's like, no, he's he's he's healthy. Like, 393 00:20:54,720 --> 00:20:56,320 Speaker 1: I don't know. It's freaking weird to me too, man, 394 00:20:59,119 --> 00:21:02,920 Speaker 1: Uh yeah exactly, So I don't know. Let's just keep 395 00:21:03,000 --> 00:21:05,560 Speaker 1: our eye on it. You know. Obviously we're not hoping 396 00:21:05,760 --> 00:21:09,680 Speaker 1: for him to uh have bad things happen to him, No, 397 00:21:09,840 --> 00:21:11,760 Speaker 1: not at all. But I just feel like, you know, 398 00:21:11,920 --> 00:21:14,040 Speaker 1: is this like is this is this doctor is really 399 00:21:14,080 --> 00:21:15,840 Speaker 1: measuring him at six three? I would love to get 400 00:21:15,920 --> 00:21:18,040 Speaker 1: my stats because then it would probably finally put the bed. 401 00:21:18,080 --> 00:21:22,760 Speaker 1: Then I am six ft two, yeah, this morning, only six. 402 00:21:23,840 --> 00:21:27,720 Speaker 1: I can't believe it. I want my dad's spot check 403 00:21:27,960 --> 00:21:31,959 Speaker 1: the president's height, because that is my dad's insane superpower. 404 00:21:32,000 --> 00:21:35,480 Speaker 1: Almost everyone, every actor was like, oh yeah, I saw 405 00:21:35,640 --> 00:21:37,920 Speaker 1: David Morrison the subway today, tall guy six ft three 406 00:21:38,359 --> 00:21:41,120 Speaker 1: and uh, Dustin hoffin small guy, you can eat soup 407 00:21:41,119 --> 00:21:45,320 Speaker 1: off his head. It's like it's a tall guy, or 408 00:21:45,320 --> 00:21:46,720 Speaker 1: you could eat soup off his head. That's how my 409 00:21:46,760 --> 00:21:51,040 Speaker 1: dad measures people. I saw Arnold Schwartzenegger at a coffee 410 00:21:51,080 --> 00:21:54,280 Speaker 1: being in in l A. And I called my dad 411 00:21:54,320 --> 00:21:56,600 Speaker 1: about it. It's like I saw Arnold Schwartzenegger and before 412 00:21:56,600 --> 00:21:58,600 Speaker 1: I could even say anything, he says they say he's 413 00:21:58,600 --> 00:22:01,800 Speaker 1: six ft two, he's five eleven, And I'm like yeah, 414 00:22:02,040 --> 00:22:03,359 Speaker 1: And then you go on the internet and he's like 415 00:22:03,440 --> 00:22:06,840 Speaker 1: listed as six ft two short, So get your dad 416 00:22:06,880 --> 00:22:10,479 Speaker 1: on the case. Yeah. Will Smith also not he's lists 417 00:22:10,520 --> 00:22:12,520 Speaker 1: like six one six two. When you see him in person, 418 00:22:12,720 --> 00:22:16,240 Speaker 1: he's not that tall. Um, and that that is. I 419 00:22:16,520 --> 00:22:20,360 Speaker 1: could do an entire episode just about like celebrity, who 420 00:22:20,560 --> 00:22:24,359 Speaker 1: celebrity taller or shorter than you would expect? Um a 421 00:22:24,440 --> 00:22:30,639 Speaker 1: new podcast where we got you celebrities can really quick. Um. 422 00:22:31,400 --> 00:22:33,600 Speaker 1: But yeah, I I don't know. I want to I 423 00:22:33,640 --> 00:22:35,000 Speaker 1: want to believe it. I don't want to feel like 424 00:22:35,040 --> 00:22:38,199 Speaker 1: a conspiracy theorist. At the same time, during the press conference, 425 00:22:38,240 --> 00:22:41,560 Speaker 1: when people were like, but his diets so bad, shouldn't 426 00:22:41,600 --> 00:22:43,160 Speaker 1: he have heart disease? That would have been a great 427 00:22:43,200 --> 00:22:45,880 Speaker 1: time for him to say, yeah, he does have heart disease, 428 00:22:46,000 --> 00:22:48,320 Speaker 1: but he lied and was like, no, he's just got 429 00:22:48,440 --> 00:22:51,400 Speaker 1: great gene. Yeah, because like all those test scores about 430 00:22:51,440 --> 00:22:53,639 Speaker 1: his like blood levels, they're like doctors saying like this 431 00:22:53,840 --> 00:22:57,359 Speaker 1: technically would put it's still on the up and up, 432 00:22:57,400 --> 00:23:00,800 Speaker 1: because doesn't isn't the president allowed to decide what the 433 00:23:00,840 --> 00:23:03,760 Speaker 1: public is and isn't allowed to know about their health? Yeah, yeah, 434 00:23:04,000 --> 00:23:06,640 Speaker 1: I guess that's true. Whatever, it doesn't matter, Like there's 435 00:23:06,680 --> 00:23:10,200 Speaker 1: so much bigger, like we just got yeah, but we 436 00:23:10,280 --> 00:23:11,919 Speaker 1: see that was funny, is we just got hung up 437 00:23:11,960 --> 00:23:13,560 Speaker 1: over whether or not this dude at six three or 438 00:23:13,640 --> 00:23:17,560 Speaker 1: he has heart disease when we have so much exactly, 439 00:23:17,720 --> 00:23:19,800 Speaker 1: so let's uh, let's take a quick break and we'll 440 00:23:19,800 --> 00:23:32,800 Speaker 1: be right back, and we're back. Uh So, Steve Bannon, 441 00:23:32,920 --> 00:23:37,760 Speaker 1: this is big news. He was subpoena uh by Mueller, 442 00:23:38,080 --> 00:23:42,399 Speaker 1: and everybody was like, now now Trump's going now now 443 00:23:42,520 --> 00:23:47,679 Speaker 1: we got him. But now apparently that has been changed. 444 00:23:48,200 --> 00:23:51,520 Speaker 1: His lawyers negotiated with Mueller and like, now he's just 445 00:23:51,560 --> 00:23:54,760 Speaker 1: gonna go in and have a little interview while with Mueller, 446 00:23:54,760 --> 00:23:57,760 Speaker 1: which seems to suggest like that he's going to be open, 447 00:23:57,880 --> 00:23:59,720 Speaker 1: like all the reports are that he's willing to openly 448 00:24:00,000 --> 00:24:02,000 Speaker 1: operate and openly speak with Mueller. So I think it 449 00:24:02,080 --> 00:24:03,560 Speaker 1: was like his lawyers being like, we don't have to 450 00:24:03,600 --> 00:24:05,600 Speaker 1: do all this grands eurything, like let's let's come in first, 451 00:24:05,640 --> 00:24:08,119 Speaker 1: which is different because Mueller has been having a lot 452 00:24:08,200 --> 00:24:09,919 Speaker 1: of those people come in just to have like an 453 00:24:09,960 --> 00:24:12,680 Speaker 1: informal interview kind of thing to talk. So it's weird 454 00:24:12,720 --> 00:24:14,959 Speaker 1: that he sort of he skipped right to subpoena rather 455 00:24:15,040 --> 00:24:16,280 Speaker 1: than being like, hey man, you want to come in 456 00:24:16,320 --> 00:24:18,840 Speaker 1: for a chat. So who knows. I mean, clearly Mother 457 00:24:18,920 --> 00:24:21,760 Speaker 1: has a strategy, and clearly Bannon is also very cunning, 458 00:24:22,119 --> 00:24:24,359 Speaker 1: so I'm sure they have that all figured out. But 459 00:24:24,640 --> 00:24:28,080 Speaker 1: what was really interesting was yesterday Bannon testified in front 460 00:24:28,119 --> 00:24:30,480 Speaker 1: of the House Intel Committee for like ten hours. And 461 00:24:31,200 --> 00:24:33,080 Speaker 1: this is like in front of Trey Gaudy, who's like 462 00:24:33,240 --> 00:24:36,800 Speaker 1: Mr Benghazi and and fucking Devin Nounez who was supposed 463 00:24:36,840 --> 00:24:39,240 Speaker 1: to be refused from this, but it's what anyway, So 464 00:24:39,359 --> 00:24:41,440 Speaker 1: he was there and he was basically not answering a 465 00:24:41,520 --> 00:24:44,359 Speaker 1: single thing because his lawyer was like live tweeting the 466 00:24:44,400 --> 00:24:46,359 Speaker 1: whole thing to the White House and they're like, no, don't, 467 00:24:46,760 --> 00:24:49,680 Speaker 1: don't let him say anything, tell him executive privilege, And 468 00:24:49,760 --> 00:24:54,359 Speaker 1: Trey Gaudy was like, that's absurd, like and subpoena at him, uh, 469 00:24:54,600 --> 00:24:58,040 Speaker 1: like to get him to basically speak. But then Bannon 470 00:24:58,119 --> 00:25:00,160 Speaker 1: was like, na, man, executive privilege, which is we weird 471 00:25:00,200 --> 00:25:02,560 Speaker 1: because Tray Goudy is usually doing whatever he asked you 472 00:25:02,640 --> 00:25:05,200 Speaker 1: to protect Trump. So clearly there was like a misque 473 00:25:05,320 --> 00:25:07,679 Speaker 1: where you know, I guess maybe they all thought, oh, well, 474 00:25:07,680 --> 00:25:10,720 Speaker 1: a bandon's completely excommunicated from Trump world, so now we 475 00:25:10,800 --> 00:25:13,399 Speaker 1: can really grill him about this other ship. And clearly 476 00:25:13,400 --> 00:25:15,240 Speaker 1: the White House like no, no, no, no, no, no, 477 00:25:15,600 --> 00:25:17,280 Speaker 1: don't we're not we're not talking about that. We're not 478 00:25:17,320 --> 00:25:19,520 Speaker 1: talking about that. But he still has to it, still 479 00:25:19,600 --> 00:25:22,239 Speaker 1: has to talk, right, well, they know that they were 480 00:25:22,240 --> 00:25:25,720 Speaker 1: saying is like they can't make him testify because of 481 00:25:25,800 --> 00:25:30,040 Speaker 1: this weird, absurd legal definition of executive privilege at the 482 00:25:30,040 --> 00:25:33,639 Speaker 1: White House is using. So but that's why you know, 483 00:25:33,920 --> 00:25:36,040 Speaker 1: with Mueller, he has to like that grand jur like 484 00:25:36,080 --> 00:25:38,680 Speaker 1: if he test President Grandury, like he has testified. So 485 00:25:38,880 --> 00:25:41,440 Speaker 1: I think what he maybe was doing was thinking, I'm 486 00:25:41,520 --> 00:25:44,320 Speaker 1: not gonna say anything in this Intel committee where something 487 00:25:44,359 --> 00:25:46,760 Speaker 1: can get out. But he's going to speak with Mueller. 488 00:25:46,840 --> 00:25:50,159 Speaker 1: And clearly, look, if if Mueller isn't satisfied with his answers, 489 00:25:50,280 --> 00:25:52,720 Speaker 1: he can make him testifying from the grand jury. So 490 00:25:53,520 --> 00:25:55,640 Speaker 1: there must be there are things that play that we're 491 00:25:55,960 --> 00:25:57,879 Speaker 1: we still don't kind of know. Is it cynical to 492 00:25:58,000 --> 00:26:01,399 Speaker 1: think it doesn't matter because Battan can just lie Like 493 00:26:01,880 --> 00:26:06,000 Speaker 1: like I feel like we've we've seen so many liars 494 00:26:06,040 --> 00:26:09,160 Speaker 1: and so many I don't recalls, and so many yes 495 00:26:09,240 --> 00:26:12,040 Speaker 1: I might have mentioned that in passing that just feel 496 00:26:12,080 --> 00:26:14,080 Speaker 1: like such death. This is all very naive and stupid 497 00:26:14,119 --> 00:26:16,879 Speaker 1: of us to even care about any of these. I agree, Like, 498 00:26:17,000 --> 00:26:19,480 Speaker 1: I'm just like, why are we even I think it 499 00:26:19,560 --> 00:26:21,480 Speaker 1: could be that if you know, if he if he 500 00:26:21,600 --> 00:26:24,520 Speaker 1: hears something that other people have testified to to be true, 501 00:26:24,600 --> 00:26:26,680 Speaker 1: and he gets him under oath committing perjury, then he 502 00:26:26,760 --> 00:26:29,760 Speaker 1: can use that to to really get him. Who knows. 503 00:26:29,800 --> 00:26:33,480 Speaker 1: I mean, clearly Mueller has another strategy, so we'll see. 504 00:26:33,600 --> 00:26:37,240 Speaker 1: But yeah, it's true, doesn't matter because I've definitely gotten 505 00:26:37,280 --> 00:26:40,240 Speaker 1: off the Mueller as a savior train until something starts 506 00:26:40,280 --> 00:26:42,800 Speaker 1: happening because I don't have the emotional strength to put 507 00:26:42,880 --> 00:26:46,080 Speaker 1: my hopes Infortunately, we have a new savior you guys, 508 00:26:46,240 --> 00:26:49,480 Speaker 1: because it has just come out as we record this 509 00:26:49,920 --> 00:26:54,399 Speaker 1: hours ago, as you listen to this, presumably, uh, Stormy Daniels, 510 00:26:54,560 --> 00:26:57,159 Speaker 1: the porn star who Donald Trump slept with back in 511 00:26:57,200 --> 00:27:00,320 Speaker 1: two thousand and six, is going to tell in Touch 512 00:27:00,480 --> 00:27:03,520 Speaker 1: or has told in Touch magazine that she's left with 513 00:27:03,560 --> 00:27:05,720 Speaker 1: the president. So she is confirming it. Prior to this, 514 00:27:05,880 --> 00:27:07,960 Speaker 1: and it always she had been denying it because of 515 00:27:08,040 --> 00:27:11,760 Speaker 1: this uh you know order or some nda that she 516 00:27:11,920 --> 00:27:16,439 Speaker 1: signed an association with and thirty thousand dollars that Trump's 517 00:27:16,520 --> 00:27:20,200 Speaker 1: lawyer paid her. Um. So now he's done, right, He's 518 00:27:20,320 --> 00:27:25,200 Speaker 1: he's done for an affair with his wife with his 519 00:27:25,320 --> 00:27:28,639 Speaker 1: wife was pregnant with their son. Yes, and hellow Stormy 520 00:27:28,720 --> 00:27:32,520 Speaker 1: Daniels in Lake Taho. That's it, guys. He's he's a gunner. Uh. 521 00:27:33,119 --> 00:27:35,960 Speaker 1: I also apparent to stand by him with everything, but 522 00:27:36,080 --> 00:27:43,240 Speaker 1: this is this is the one that's said xenophobia, racism, adultery. 523 00:27:43,560 --> 00:27:45,480 Speaker 1: I just love the two of them together though, you know, 524 00:27:45,640 --> 00:27:48,200 Speaker 1: like that Milannia and Donald was like, gosh, you still 525 00:27:49,680 --> 00:27:53,879 Speaker 1: relationship goals. Apparently detail we missed yesterday that has been 526 00:27:53,920 --> 00:27:57,520 Speaker 1: out there. He apparently chased Stormy around a hotel bed 527 00:27:57,640 --> 00:28:00,680 Speaker 1: in his underwear. Just so, just let that sink in, 528 00:28:00,800 --> 00:28:05,160 Speaker 1: close your eyes, picture that going on his buff two 529 00:28:05,680 --> 00:28:12,000 Speaker 1: thirty nine pounds frames yeah, j just sort of glistening. 530 00:28:12,440 --> 00:28:16,320 Speaker 1: Uh Uh. But yeah, so this is clearly going to 531 00:28:16,400 --> 00:28:19,680 Speaker 1: take him down. I mean certainly the magazine this is 532 00:28:19,720 --> 00:28:22,880 Speaker 1: in Touch, by the way, uh is the one uh 533 00:28:23,440 --> 00:28:27,920 Speaker 1: tabloid that is not owned by his friend, Uh David Pekar, 534 00:28:28,480 --> 00:28:35,240 Speaker 1: who like the emphasis on that. Yeah, David Pekar, who 535 00:28:35,520 --> 00:28:38,240 Speaker 1: is the publisher of like all the other tableaud including 536 00:28:38,320 --> 00:28:43,520 Speaker 1: like US Weekly, all those Okay. Uh. He apparently knew 537 00:28:43,520 --> 00:28:46,720 Speaker 1: about this story and just spiked it. Uh. Fox News 538 00:28:47,000 --> 00:28:52,120 Speaker 1: knew about the Stormy Daniels affair during the election, spiked it, 539 00:28:52,280 --> 00:28:57,520 Speaker 1: did not break the story, and today just it's worth 540 00:28:57,560 --> 00:29:01,160 Speaker 1: it's worth noting. Go to Drudge repor His top story 541 00:29:01,440 --> 00:29:05,320 Speaker 1: is that twenty years ago today he broke the Monica 542 00:29:05,440 --> 00:29:10,320 Speaker 1: Lewinsky story about Bill Clinton having an affair. Yeah, so 543 00:29:10,800 --> 00:29:13,440 Speaker 1: that is his main story, is that twenty years ago 544 00:29:13,920 --> 00:29:16,360 Speaker 1: he broke a story about a president having an affair. 545 00:29:16,720 --> 00:29:19,520 Speaker 1: There is not a single mention of the fact that 546 00:29:20,000 --> 00:29:23,200 Speaker 1: Donald Trump had an affair with a porn star on 547 00:29:23,440 --> 00:29:26,800 Speaker 1: his front page. Uh as of this record, I mean, 548 00:29:26,960 --> 00:29:28,920 Speaker 1: what if Obama did that, you think, yeah, he would 549 00:29:28,920 --> 00:29:32,760 Speaker 1: get away with it, right, Oh yeah, I'm sure you'd 550 00:29:32,760 --> 00:29:34,920 Speaker 1: probably be cool with it. Yeah. Yeah if he was 551 00:29:35,200 --> 00:29:39,160 Speaker 1: with you know, uh Mia Khalifa, Uh and yeah he 552 00:29:39,240 --> 00:29:41,840 Speaker 1: cheated on on Michelle, Yeah, they would be like yeah, 553 00:29:41,840 --> 00:29:43,800 Speaker 1: whatever I mean. Or if we found out CNN buried 554 00:29:43,840 --> 00:29:47,000 Speaker 1: a story that Hillary cheated on Bill with Lexington Steel 555 00:29:47,400 --> 00:29:51,880 Speaker 1: or something absurd like that. Yeah, exactly. I do wonder 556 00:29:51,920 --> 00:29:54,120 Speaker 1: if that would be good for her popularity, people would 557 00:29:54,120 --> 00:29:59,040 Speaker 1: be like, yeah, like go and get your um. So, yeah, 558 00:29:59,240 --> 00:30:03,360 Speaker 1: keep an eye on that not being reported anywhere uh 559 00:30:03,880 --> 00:30:07,480 Speaker 1: other than in Touch Jesus Christ. Uh So let's move 560 00:30:07,520 --> 00:30:11,920 Speaker 1: on to some men guys. Uh. Seal is being investigated 561 00:30:11,960 --> 00:30:15,880 Speaker 1: for sexual battery. According to TMZ, who even though they 562 00:30:16,000 --> 00:30:21,560 Speaker 1: are a tabloidsh uh website they have. The reason they're 563 00:30:21,600 --> 00:30:24,160 Speaker 1: able to be in business is because they have an 564 00:30:24,240 --> 00:30:28,600 Speaker 1: insane legal team that that's everything they report. So TMZ 565 00:30:28,760 --> 00:30:33,080 Speaker 1: is actually pretty reliable. Um, but you know, as right now, 566 00:30:33,160 --> 00:30:36,800 Speaker 1: it's just an investigation. Uh. You know, they say he 567 00:30:37,240 --> 00:30:39,280 Speaker 1: lunged at his neighbor and kissed her and groped her 568 00:30:39,720 --> 00:30:42,080 Speaker 1: in an aggressive way and was like, apparently she was 569 00:30:42,240 --> 00:30:44,480 Speaker 1: he was the victim, was claiming that he was like 570 00:30:44,560 --> 00:30:46,760 Speaker 1: commenting on her outfit and saying that, like, you know, 571 00:30:46,840 --> 00:30:50,640 Speaker 1: what does she expect? So damn seal seal Come on, man, 572 00:30:51,120 --> 00:30:53,480 Speaker 1: I hope you know, we'll see where this goes. But 573 00:30:53,560 --> 00:30:55,720 Speaker 1: through him, through his name up there, they were neighbors 574 00:30:55,760 --> 00:30:58,520 Speaker 1: and she was like picking up a salth spinner that 575 00:30:58,760 --> 00:31:00,440 Speaker 1: she had lent him, and like that's starts as the 576 00:31:00,480 --> 00:31:04,120 Speaker 1: most wholesome thing I've ever heard. And then the definition 577 00:31:04,240 --> 00:31:07,880 Speaker 1: of neighborly like interaction. Hey Celia, I'm having that dinner party. 578 00:31:07,920 --> 00:31:14,280 Speaker 1: Can I get my salad spinner back? Oh? Yeah? Kissed 579 00:31:14,320 --> 00:31:19,520 Speaker 1: by a bosoo? I mean, I mean, as he says, 580 00:31:19,840 --> 00:31:25,000 Speaker 1: we're never going to survive, we get a little bit crazy. Uh, 581 00:31:25,280 --> 00:31:28,200 Speaker 1: just the z story we talked about yesterday. I pitch 582 00:31:28,240 --> 00:31:32,080 Speaker 1: you guys something, Yes, Mengazi colon a season desist nice? 583 00:31:33,120 --> 00:31:36,960 Speaker 1: I like it. I like it. Uh, yesterday I was saying, 584 00:31:37,160 --> 00:31:39,400 Speaker 1: we're checking with the title names, and I had when 585 00:31:39,400 --> 00:31:42,280 Speaker 1: I was a little too jokey, which was a sleeze. 586 00:31:42,320 --> 00:31:46,560 Speaker 1: I'm sorry, but you know we're you know, we're a 587 00:31:46,640 --> 00:31:50,520 Speaker 1: very serious show, so you can't have the public. Yeah, 588 00:31:51,680 --> 00:31:55,000 Speaker 1: but so Jezebel wrote an article yesterday that was like 589 00:31:55,160 --> 00:31:56,840 Speaker 1: the point that was on the tip of my tongue 590 00:31:57,440 --> 00:32:00,200 Speaker 1: that we had to move on for time purposes. But 591 00:32:01,000 --> 00:32:05,040 Speaker 1: the way the article is written that is about, you know, 592 00:32:05,280 --> 00:32:12,160 Speaker 1: the sexual encounter with disease, and the anonymous photographer goes 593 00:32:12,240 --> 00:32:15,080 Speaker 1: by grace. The article is written in a way that 594 00:32:15,280 --> 00:32:19,760 Speaker 1: I feel like does not do the victim many favors. 595 00:32:19,920 --> 00:32:23,960 Speaker 1: It's like almost intentionally tawdry, and I think a lot 596 00:32:24,000 --> 00:32:27,920 Speaker 1: of the criticisms that I have heard of the article 597 00:32:28,600 --> 00:32:31,880 Speaker 1: are sort of conflating the victim and the voice of 598 00:32:31,960 --> 00:32:35,040 Speaker 1: the article. For instance, there's this one part where they 599 00:32:35,080 --> 00:32:39,360 Speaker 1: talk about she mentions that, uh, they drank white wine 600 00:32:39,400 --> 00:32:43,240 Speaker 1: and she actually likes red wine. And you know, that's 601 00:32:43,280 --> 00:32:46,400 Speaker 1: one of many many details I'm sure that she gave 602 00:32:46,440 --> 00:32:49,920 Speaker 1: about the night, But the writer of this article chose 603 00:32:50,000 --> 00:32:52,840 Speaker 1: to put that in and like have that at the forefront. 604 00:32:52,880 --> 00:32:56,320 Speaker 1: I think, presumably as like a literary device or like 605 00:32:56,440 --> 00:32:59,600 Speaker 1: foreshadowing or something, but it almost makes it seem like 606 00:33:00,240 --> 00:33:05,400 Speaker 1: the victim is complaining about this, as if that's just 607 00:33:05,640 --> 00:33:09,479 Speaker 1: the same thing or something. It just makes the victim 608 00:33:10,040 --> 00:33:15,560 Speaker 1: sort of seem less trustworthy, right. I mean it's one 609 00:33:15,600 --> 00:33:18,160 Speaker 1: day we'll live in a world where we just believe 610 00:33:18,240 --> 00:33:20,479 Speaker 1: women and that right be enough. But we don't right now, 611 00:33:20,560 --> 00:33:23,240 Speaker 1: which is why we need to do these uh thoroughly 612 00:33:24,200 --> 00:33:28,400 Speaker 1: investigative pieces. It's why Ronan Pharaoh and Jody Canter and 613 00:33:28,640 --> 00:33:30,600 Speaker 1: car Buckley are gonna take months and months to work 614 00:33:30,680 --> 00:33:32,840 Speaker 1: on something like Jack, you and I don't think we're 615 00:33:32,840 --> 00:33:35,200 Speaker 1: telling tales out of school. You and I knew four 616 00:33:35,280 --> 00:33:37,520 Speaker 1: years ago about the Louisy case, but we were never 617 00:33:37,560 --> 00:33:39,480 Speaker 1: going to publish anything about it at the old place. 618 00:33:39,560 --> 00:33:42,040 Speaker 1: And like I would even tell personal friends, here's this 619 00:33:42,640 --> 00:33:44,600 Speaker 1: stuff that I know from a source that they talked 620 00:33:44,600 --> 00:33:48,400 Speaker 1: to me, and friends would be like, that's one person's experience. 621 00:33:48,720 --> 00:33:51,280 Speaker 1: That's why three reporters had to go through and like 622 00:33:51,480 --> 00:33:54,760 Speaker 1: anticipate every criticism you might have when they're breaking this 623 00:33:54,880 --> 00:33:56,920 Speaker 1: Louis Kay story. That's why it's not just me and 624 00:33:57,000 --> 00:34:01,160 Speaker 1: you publishing an article somewhere saying we yeah, right. That's 625 00:34:01,160 --> 00:34:03,320 Speaker 1: why that that Louis e. Kps was so strong, because 626 00:34:03,320 --> 00:34:05,280 Speaker 1: it was like and then these four women came forward 627 00:34:05,320 --> 00:34:06,920 Speaker 1: and hear their names and here's what they said. He 628 00:34:07,000 --> 00:34:09,000 Speaker 1: didn't hear the dates that he did it. They they 629 00:34:09,440 --> 00:34:12,000 Speaker 1: they build this air tight case because we live in 630 00:34:12,080 --> 00:34:15,080 Speaker 1: such a broken society right now, and I don't think 631 00:34:15,160 --> 00:34:17,640 Speaker 1: the Babe dot Net piece is going to hurt the 632 00:34:17,800 --> 00:34:21,239 Speaker 1: me too movement in any significant way, but it's it's 633 00:34:21,600 --> 00:34:25,200 Speaker 1: not helping right now. Well, yeah, it's allowed critics of 634 00:34:25,280 --> 00:34:28,279 Speaker 1: the movement to like latch onto this thing and as 635 00:34:28,360 --> 00:34:30,080 Speaker 1: being like, well, you see where it's gone now, like 636 00:34:30,120 --> 00:34:32,319 Speaker 1: blah blah blah, and like, yeah, I think obviously their 637 00:34:32,480 --> 00:34:34,719 Speaker 1: their worldview and their their their heart was in the 638 00:34:34,800 --> 00:34:36,640 Speaker 1: right place in doing this. But I think, yeah, like 639 00:34:36,840 --> 00:34:38,879 Speaker 1: a lot of people felt too that this article missed 640 00:34:38,880 --> 00:34:41,920 Speaker 1: an opportunity to create a like a larger discussion rather 641 00:34:41,960 --> 00:34:45,359 Speaker 1: than just like a depiction of this event. I think 642 00:34:45,440 --> 00:34:49,120 Speaker 1: Eliza Skinner on her tumbler Eliza Aliza dot tumbler dot 643 00:34:49,160 --> 00:34:51,960 Speaker 1: com has a great article about this that's called, uh 644 00:34:52,160 --> 00:34:54,920 Speaker 1: that article was bad. I want you to check it out, 645 00:34:55,360 --> 00:34:58,000 Speaker 1: all right, Yeah, so check that out. And also, Alliza 646 00:34:58,040 --> 00:35:00,960 Speaker 1: Skinner is just one of the funniest people. Yeah, it's 647 00:35:01,200 --> 00:35:02,640 Speaker 1: one of those things like her piece and more like 648 00:35:02,719 --> 00:35:05,720 Speaker 1: the telling of it betrays you know what could have happened, 649 00:35:05,719 --> 00:35:07,640 Speaker 1: And I think that's that's true. A lot of people 650 00:35:07,640 --> 00:35:09,879 Speaker 1: are conflating the two of like, you know, people were 651 00:35:10,000 --> 00:35:12,400 Speaker 1: like bashing Grace or whatever, and then you find out 652 00:35:12,480 --> 00:35:14,920 Speaker 1: that babe dot net like found her out like they 653 00:35:14,960 --> 00:35:17,960 Speaker 1: were seeking her, right, that's the other story. Yeah, I 654 00:35:17,960 --> 00:35:21,520 Speaker 1: should have mentioned. Yeah, they reached out to her, so 655 00:35:21,880 --> 00:35:24,560 Speaker 1: which is weird. It's like, how did they know about 656 00:35:25,040 --> 00:35:27,880 Speaker 1: that no to reach out to her and maybe maybe 657 00:35:28,080 --> 00:35:29,480 Speaker 1: this was one of the things that was on the 658 00:35:29,960 --> 00:35:32,120 Speaker 1: shitty men and media list or something, and that's how 659 00:35:32,160 --> 00:35:34,879 Speaker 1: they got the lead. We don't know how they sort 660 00:35:34,920 --> 00:35:36,560 Speaker 1: of got the lead, but they were the ones who 661 00:35:36,600 --> 00:35:39,479 Speaker 1: reached out to her and with the idea to write 662 00:35:39,520 --> 00:35:42,560 Speaker 1: this story. It's not like she came to them. There 663 00:35:42,640 --> 00:35:48,239 Speaker 1: are other depressing entries in Menghazi. Eliza Dish coup and 664 00:35:48,560 --> 00:35:52,319 Speaker 1: accused a stunt coordinator on true lies of molesting her 665 00:35:52,719 --> 00:35:58,560 Speaker 1: and basically every female gymnast uh including Smo Biles uh 666 00:35:59,160 --> 00:36:04,360 Speaker 1: was assaulted by this doctor who was like the doctor 667 00:36:04,600 --> 00:36:10,399 Speaker 1: for the women's gymnastics team. Apparently he was first caught 668 00:36:10,480 --> 00:36:13,960 Speaker 1: with child pornography sentenced to sixty years and then uh, 669 00:36:14,880 --> 00:36:18,320 Speaker 1: you know, young women who he had, uh you know, 670 00:36:18,600 --> 00:36:22,440 Speaker 1: worked with in the U S Olympics gymnastics team started 671 00:36:22,480 --> 00:36:25,040 Speaker 1: coming forward and now it is up to a hundred 672 00:36:25,120 --> 00:36:27,840 Speaker 1: and forty victims have come forward. And it's crazy too 673 00:36:27,880 --> 00:36:32,520 Speaker 1: because MICHAELA. Moroney, who was also h victim, she couldn't 674 00:36:32,560 --> 00:36:35,600 Speaker 1: speak like even at his trial because she's faced a 675 00:36:35,680 --> 00:36:38,719 Speaker 1: fine because she signed an NDA to stay quiet as 676 00:36:38,760 --> 00:36:41,440 Speaker 1: part of her settlement with this doctor. But then like 677 00:36:41,640 --> 00:36:43,880 Speaker 1: Christy Teagan was like, I will pay for that fine, 678 00:36:44,239 --> 00:36:47,239 Speaker 1: like fun that, and then USA Gymnastics were like, we 679 00:36:47,320 --> 00:36:49,240 Speaker 1: were not going to enforce the they're going to provoke 680 00:36:49,360 --> 00:36:52,759 Speaker 1: the fine. But he'd like so specifically Taylor made to 681 00:36:52,800 --> 00:36:57,479 Speaker 1: be the worst person to have his position. That's so insane. Well, 682 00:36:57,800 --> 00:37:01,320 Speaker 1: let's move on to a half your story. Uh, some 683 00:37:01,719 --> 00:37:06,879 Speaker 1: California parents were holding thirteen children hostage in a house 684 00:37:07,000 --> 00:37:09,319 Speaker 1: that looks pretty Smaile, I was just kidding the story, 685 00:37:11,200 --> 00:37:14,799 Speaker 1: but you must have a good take, Uh, I really don't. 686 00:37:16,440 --> 00:37:21,680 Speaker 1: It is Yeah, it's horrifying. I spent yesterday afternoon like 687 00:37:21,920 --> 00:37:24,080 Speaker 1: touring the town because I had just never heard of it. 688 00:37:24,200 --> 00:37:28,680 Speaker 1: It's uh when you went up to the town. No, no, sorry, 689 00:37:28,680 --> 00:37:30,960 Speaker 1: I should have finished that sense touring the town on 690 00:37:31,080 --> 00:37:34,520 Speaker 1: Google Maps. I'm just kind of getting a feel for 691 00:37:34,920 --> 00:37:37,160 Speaker 1: what what the town looks like from a sky view. Yeah, 692 00:37:37,200 --> 00:37:39,239 Speaker 1: from a sky view, and you know, you can do 693 00:37:39,360 --> 00:37:40,759 Speaker 1: the thing where you like go up and down the 694 00:37:40,840 --> 00:37:45,640 Speaker 1: streets and uh, it's just a weird, weird town. Um. 695 00:37:46,120 --> 00:37:48,120 Speaker 1: I obviously just know the headlines because I was too 696 00:37:48,200 --> 00:37:50,080 Speaker 1: bummed out by the headlines to know much more. They 697 00:37:50,160 --> 00:37:54,359 Speaker 1: had thirteen kids just chained up for for years. Yeah, 698 00:37:54,360 --> 00:37:57,560 Speaker 1: the kids, they're ages two to twenty nine. The kids 699 00:37:57,640 --> 00:38:00,839 Speaker 1: who are adults actually look like chill ldren because they've 700 00:38:00,880 --> 00:38:05,160 Speaker 1: been so malnourished. Um. And yeah, it was apparently part 701 00:38:05,200 --> 00:38:11,239 Speaker 1: of some religious thing. Their parents were homeschooling them obviously. Uh, 702 00:38:11,440 --> 00:38:15,160 Speaker 1: and apparently you can get a license to home school 703 00:38:15,200 --> 00:38:19,440 Speaker 1: without getting a visit at the house. But yeah, it's 704 00:38:19,480 --> 00:38:24,279 Speaker 1: a it's a really dark story. The the town is. 705 00:38:24,880 --> 00:38:26,840 Speaker 1: It's weird. Like I so, I did kind of a 706 00:38:26,880 --> 00:38:29,760 Speaker 1: deep dive on the town there. Their biggest job creator 707 00:38:29,880 --> 00:38:32,040 Speaker 1: is like raw stress for Lesser or something like that. 708 00:38:32,160 --> 00:38:35,080 Speaker 1: But their second biggest is a company called Starcrest of 709 00:38:35,160 --> 00:38:39,920 Speaker 1: California Industries. And when you go to Starcrest of California 710 00:38:40,160 --> 00:38:44,240 Speaker 1: or starcrest dot com. The stuff they sell is so weird. 711 00:38:44,640 --> 00:38:46,800 Speaker 1: It's like seems like it's a shell company for some 712 00:38:47,000 --> 00:38:51,680 Speaker 1: like weird religious cult. Uh there's a family fund page 713 00:38:52,120 --> 00:38:57,239 Speaker 1: and uh the products that they sell our jacks, the 714 00:38:57,400 --> 00:39:01,440 Speaker 1: game with the golden metal things and that all this, Grandpa, 715 00:39:02,680 --> 00:39:05,240 Speaker 1: damn it. This website is ten thousand percent and haunted 716 00:39:05,280 --> 00:39:10,919 Speaker 1: by a baby ghost crazy, Uh, a puzzle and one 717 00:39:11,040 --> 00:39:14,719 Speaker 1: C D. K. Smith Kate Smith the Bell of the 718 00:39:14,800 --> 00:39:18,120 Speaker 1: South or something Songbird of the Songbird of the South. Yeah, 719 00:39:18,239 --> 00:39:21,120 Speaker 1: so it's just I don't know, I'm really interested in 720 00:39:21,239 --> 00:39:24,120 Speaker 1: this town. Now that's a guilty pleasure. I I'm definitely 721 00:39:24,160 --> 00:39:27,520 Speaker 1: not saying the town is uh a haunted you know, 722 00:39:28,120 --> 00:39:31,640 Speaker 1: shell for a religious cult. Uh that is like children 723 00:39:31,719 --> 00:39:35,160 Speaker 1: of the Corn style, you know, just people hiding inside 724 00:39:35,200 --> 00:39:37,279 Speaker 1: their houses waiting for you to ring their doorbell so 725 00:39:37,360 --> 00:39:41,160 Speaker 1: they can like cut your throat. But uh, yeah, it's 726 00:39:41,200 --> 00:39:44,279 Speaker 1: just interesting. Give it a look on Google Maps. There's 727 00:39:44,320 --> 00:39:47,080 Speaker 1: like no nobody's in the streets. There are no cars 728 00:39:47,160 --> 00:39:50,640 Speaker 1: on the streets, which might just be how Google Maps works, 729 00:39:50,719 --> 00:39:52,680 Speaker 1: but I feel like I always when I look at 730 00:39:52,719 --> 00:39:55,680 Speaker 1: my street, there's always cars. Yeah, for sure, you can 731 00:39:55,760 --> 00:39:58,759 Speaker 1: usually catch cars. But it's just it just looks like 732 00:39:58,800 --> 00:40:01,800 Speaker 1: an abandoned town, like beautiful. There's like lots of beautiful nature. 733 00:40:02,000 --> 00:40:05,360 Speaker 1: It looks peaceful because no one is real that exactly. 734 00:40:05,400 --> 00:40:07,760 Speaker 1: I'm definitely buying this puzzle though. Yeah, yeah, that puzzle 735 00:40:07,800 --> 00:40:11,200 Speaker 1: looks great. And I'm looking on the garden and tools 736 00:40:11,239 --> 00:40:14,799 Speaker 1: section and this handy jack extra hold tape for eight 737 00:40:14,840 --> 00:40:17,520 Speaker 1: dollars looks like quite as steel. They sell battery testers, 738 00:40:17,600 --> 00:40:20,240 Speaker 1: like those old battery testers from like the mid nineties. 739 00:40:20,960 --> 00:40:24,080 Speaker 1: It looks like backs, like old dead stock stuff from 740 00:40:24,160 --> 00:40:27,040 Speaker 1: the eighties that they couldn't sell. I'm I'm obsessed with 741 00:40:27,120 --> 00:40:28,960 Speaker 1: this now because this puzzle that I'm buying three of 742 00:40:29,440 --> 00:40:31,440 Speaker 1: UH is called back in the Good Old Days puzzle, 743 00:40:31,480 --> 00:40:33,359 Speaker 1: and it's designed to remind you of a simpler time. 744 00:40:33,680 --> 00:40:35,759 Speaker 1: And it's a person whose face you can't see. They're 745 00:40:35,760 --> 00:40:38,640 Speaker 1: at a grocery store where there's no cashier and just 746 00:40:38,800 --> 00:40:42,279 Speaker 1: like animals running around on the floor, you know, you know, 747 00:40:44,719 --> 00:40:47,680 Speaker 1: um yeah. And this so this company that we're looking 748 00:40:47,760 --> 00:40:50,320 Speaker 1: at that like sells a bunch of products that nobody 749 00:40:50,400 --> 00:40:54,120 Speaker 1: has bought in forty years. UH is the number two 750 00:40:54,160 --> 00:40:57,440 Speaker 1: employered employees a thousand people in this town, Star Crest 751 00:40:57,480 --> 00:41:01,680 Speaker 1: of California. What's going on Starcrest. Uh, let's get to 752 00:41:01,719 --> 00:41:03,439 Speaker 1: the bottom of this. Yeah, I don't know who's buying 753 00:41:03,440 --> 00:41:07,440 Speaker 1: their insane products like the owl Stretch ring watch or 754 00:41:07,520 --> 00:41:10,759 Speaker 1: the Crystal Expansion Watch. It's very Yeah, I would do 755 00:41:10,840 --> 00:41:14,040 Speaker 1: some investigating, all right, Uh Miles, things aren't going so 756 00:41:14,160 --> 00:41:19,239 Speaker 1: well for the GOP. Uh the you know liberal strongholds 757 00:41:19,320 --> 00:41:23,840 Speaker 1: of Iowa, Wisconsin, Western Iowa. Yeah. So Chuck Grassley and 758 00:41:24,200 --> 00:41:27,000 Speaker 1: Joni Earns, who are the senators for Iowa, they did 759 00:41:27,040 --> 00:41:28,759 Speaker 1: their like annual tour where they go to like the 760 00:41:28,840 --> 00:41:31,600 Speaker 1: ninety nine counties of Iowa and like so the naturally 761 00:41:31,600 --> 00:41:34,240 Speaker 1: they stop off in like rural Iowa because it's probably 762 00:41:34,239 --> 00:41:37,400 Speaker 1: gonna be some you know, town halls, won't be very charged. 763 00:41:37,760 --> 00:41:41,319 Speaker 1: But Yo, did they get a surprise because at Chuck 764 00:41:41,360 --> 00:41:45,080 Speaker 1: Grassley's they were like the people were sincerely asking this 765 00:41:45,200 --> 00:41:48,600 Speaker 1: is he was in a county that had their Republican 766 00:41:48,719 --> 00:41:52,680 Speaker 1: registration the outnumber Democrats two to one, and Trump won 767 00:41:52,800 --> 00:41:56,040 Speaker 1: it by thirty five points. So he's in like Trump 768 00:41:56,120 --> 00:41:59,680 Speaker 1: country and these older white voters were there to take 769 00:41:59,719 --> 00:42:02,040 Speaker 1: bay sically Grassley to task and be like, what do 770 00:42:02,120 --> 00:42:03,799 Speaker 1: you think, like do you think he's mentally stated when 771 00:42:03,800 --> 00:42:05,719 Speaker 1: he's like, well, it's not my job to know, and 772 00:42:05,800 --> 00:42:07,320 Speaker 1: they're like, well, you know, like what's going on. We 773 00:42:07,360 --> 00:42:09,560 Speaker 1: feel like you're obstructing the Russia investigation. Like he was 774 00:42:09,640 --> 00:42:13,040 Speaker 1: getting questions that were like you thought Indivisible was there 775 00:42:13,520 --> 00:42:15,040 Speaker 1: being like hey, okay, this is I can ask him. 776 00:42:15,239 --> 00:42:18,880 Speaker 1: And this was seemingly completely disorganized an organic sort of 777 00:42:18,960 --> 00:42:22,239 Speaker 1: pushed back from voters. Then Joni Earnest, she doesn't do 778 00:42:22,280 --> 00:42:24,160 Speaker 1: a good job either. She's at a town hall meeting 779 00:42:24,520 --> 00:42:27,560 Speaker 1: and they are pressing her like it's and these are 780 00:42:27,719 --> 00:42:31,160 Speaker 1: not these are Trump voters. This one woman asks her, like, yo, 781 00:42:31,320 --> 00:42:35,400 Speaker 1: his xenophobia and racism is like basically making our country 782 00:42:35,480 --> 00:42:38,200 Speaker 1: look bad, and like I feel like other countries we 783 00:42:38,280 --> 00:42:40,520 Speaker 1: have really bad relationships, and he's not sticking up for 784 00:42:40,600 --> 00:42:43,279 Speaker 1: like other countries. These are American values and so this 785 00:42:43,440 --> 00:42:46,279 Speaker 1: is what Joni Earnest his reply is when saying our 786 00:42:46,600 --> 00:42:48,600 Speaker 1: our standing is tarnished and we're not sticking up for 787 00:42:48,640 --> 00:42:50,960 Speaker 1: little countries. He is standing up for a lot of 788 00:42:51,040 --> 00:43:00,359 Speaker 1: the countries that where we have seen um Norway, oh boy, 789 00:43:01,080 --> 00:43:04,480 Speaker 1: just like they laughed at her, I mean for real, 790 00:43:04,560 --> 00:43:08,360 Speaker 1: though like he was saying, she was saying, he's standing 791 00:43:08,440 --> 00:43:10,920 Speaker 1: up for a lot of countries around the world, and 792 00:43:11,719 --> 00:43:16,759 Speaker 1: that her answer was norway. You can just hear the 793 00:43:17,200 --> 00:43:20,960 Speaker 1: like nervous breakdown creeping up, and she knew, like, oh 794 00:43:21,160 --> 00:43:23,800 Speaker 1: I am this is an indefendtion answer. Her brain is 795 00:43:23,880 --> 00:43:27,359 Speaker 1: like hold on, hold on, hold on it from here, right, 796 00:43:28,000 --> 00:43:31,760 Speaker 1: So that is not a good sign, especially with Democrats 797 00:43:31,800 --> 00:43:34,120 Speaker 1: trying to take back the House, uh in this year 798 00:43:34,160 --> 00:43:36,279 Speaker 1: in mid terms, like when you have people in these 799 00:43:36,360 --> 00:43:39,640 Speaker 1: like really solidly rural areas being like talking like this, 800 00:43:40,080 --> 00:43:44,000 Speaker 1: or for example, in Wisconsin, a Democrat won a state 801 00:43:44,120 --> 00:43:46,920 Speaker 1: Senate seat from a really well known Republican, which was 802 00:43:46,960 --> 00:43:50,279 Speaker 1: another big shock. Like even Scott Walker, the governor, was 803 00:43:50,360 --> 00:43:53,800 Speaker 1: like whoa, whoa, what's going on? Like it's definitely causing 804 00:43:53,840 --> 00:43:57,680 Speaker 1: a panic. So off of that, right, there's all these 805 00:43:57,760 --> 00:44:00,799 Speaker 1: like like weird unexpected democratic pickups. Is some momentum going. 806 00:44:00,800 --> 00:44:03,040 Speaker 1: There's a Washington Post article talking about sort of Trump 807 00:44:03,120 --> 00:44:08,120 Speaker 1: like looking at eighteen and in discussions about like, you know, 808 00:44:08,400 --> 00:44:11,840 Speaker 1: are they nervous about the mid terms? He basically like 809 00:44:12,000 --> 00:44:14,640 Speaker 1: brought up like he's in this in this article they 810 00:44:14,680 --> 00:44:17,440 Speaker 1: say quote in private conversations. Trump has told advisors that 811 00:44:17,480 --> 00:44:19,680 Speaker 1: he doesn't think the election has to be as bad 812 00:44:19,760 --> 00:44:22,160 Speaker 1: as others are predicting. He has referenced to two thousand 813 00:44:22,200 --> 00:44:24,800 Speaker 1: two mid terms, when George W. Bush and Republicans fared 814 00:44:24,840 --> 00:44:29,040 Speaker 1: better after the September eleventh terrorist attacks. These people said, so, 815 00:44:29,800 --> 00:44:34,440 Speaker 1: it's almost as if he's predicting a September eleventh like 816 00:44:34,760 --> 00:44:38,200 Speaker 1: event will happen between now and those elections. Yeah. So, 817 00:44:38,400 --> 00:44:40,279 Speaker 1: I mean he's because I don't know that, but the 818 00:44:40,360 --> 00:44:42,160 Speaker 1: way it's being told, it's like, well, I don't think 819 00:44:42,200 --> 00:44:45,080 Speaker 1: it's gonna be that bad. I mean, September eleventh helped 820 00:44:45,120 --> 00:44:47,520 Speaker 1: out the Republicans two thousand two. Right, Is he predicting 821 00:44:47,600 --> 00:44:49,360 Speaker 1: or is he hedging his bets and like hoping for 822 00:44:49,600 --> 00:44:52,240 Speaker 1: a nine? I don't know either way. That's fucking scary 823 00:44:52,320 --> 00:44:54,840 Speaker 1: as shit, it really is, because I mean, his favorite 824 00:44:54,880 --> 00:45:00,360 Speaker 1: person is Putin or the middle Pulton. Uh. He speaks 825 00:45:00,520 --> 00:45:06,239 Speaker 1: very uh, you know, admiringly of Putin, and Putin you know, 826 00:45:06,400 --> 00:45:08,719 Speaker 1: swept to power and really consolidated a lot of his 827 00:45:08,840 --> 00:45:13,160 Speaker 1: power by doing a false flag thing where he you know, 828 00:45:13,360 --> 00:45:15,719 Speaker 1: bombed a bunch of apartment buildings, killed a bunch of 829 00:45:15,840 --> 00:45:18,759 Speaker 1: Russians and then blamed it on Czecheny and terrorists, even 830 00:45:18,800 --> 00:45:24,200 Speaker 1: though uh, it's it was obviously like journalists have you know, 831 00:45:24,560 --> 00:45:29,480 Speaker 1: basically proven that it is. It was done by the FSB, 832 00:45:29,600 --> 00:45:34,040 Speaker 1: which is their CIA essentially. Uh So, yeah, that's always 833 00:45:34,080 --> 00:45:37,120 Speaker 1: been a big worry of mine, is either what happens 834 00:45:37,320 --> 00:45:42,279 Speaker 1: if a nine eleven organically happens or uh if he 835 00:45:42,560 --> 00:45:45,560 Speaker 1: makes one of those things happen, because he seems like 836 00:45:45,760 --> 00:45:48,480 Speaker 1: the worst person one of those things to happen. Yeah, 837 00:45:48,560 --> 00:45:51,160 Speaker 1: he's thinking about even on the campaign, how he was like, oh, Russia, 838 00:45:51,200 --> 00:45:53,680 Speaker 1: I'd love your help, or like wiki leaks, please show 839 00:45:53,719 --> 00:45:55,800 Speaker 1: those things, like where you kind of suspect that he 840 00:45:55,920 --> 00:45:58,200 Speaker 1: knew as he said that stuff, and then when you 841 00:45:58,239 --> 00:46:01,279 Speaker 1: sort of juxtaposed that with him sort of privately being like, well, 842 00:46:01,320 --> 00:46:03,320 Speaker 1: you know, nine eleven helped out the Republicans. Like no, 843 00:46:03,480 --> 00:46:06,719 Speaker 1: people are saying, so it's it's that's a weird that's 844 00:46:06,719 --> 00:46:10,400 Speaker 1: a weird, very weird quote. Yeah, alright, very Canadian bacon. 845 00:46:10,760 --> 00:46:13,239 Speaker 1: Is that reference scam? I think so, I mean, if 846 00:46:13,239 --> 00:46:17,439 Speaker 1: you're watching Comedy Central in the early night. But yeah, 847 00:46:18,840 --> 00:46:20,919 Speaker 1: all right, we're gonna take a quick break and we'll 848 00:46:20,960 --> 00:46:33,040 Speaker 1: be right back and we're back. We wanted to talk 849 00:46:33,239 --> 00:46:37,040 Speaker 1: about the movie that everybody's talking about, Yes, Paddington too. 850 00:46:37,880 --> 00:46:40,680 Speaker 1: Actually people are talking about padding it has like a 851 00:46:40,760 --> 00:46:44,000 Speaker 1: near perfect score, better like it is a perfect score. Uh, 852 00:46:44,560 --> 00:46:47,239 Speaker 1: but no, we wanted to talk about pitch Perfect three, 853 00:46:48,719 --> 00:46:52,760 Speaker 1: which came out a while ago. But um yeah, Jim McNab, 854 00:46:52,880 --> 00:46:55,080 Speaker 1: one of our writers, pointed out there there have been 855 00:46:55,120 --> 00:46:59,320 Speaker 1: some articles that are suggesting that pitch Perfect three is 856 00:46:59,760 --> 00:47:04,040 Speaker 1: a a you know, military propaganda essentially the US milly 857 00:47:04,080 --> 00:47:06,239 Speaker 1: that the U S military might have been involved in 858 00:47:06,320 --> 00:47:09,239 Speaker 1: the making a pitch Perfect three, which sounded crazy to 859 00:47:09,360 --> 00:47:13,280 Speaker 1: me as somebody who hasn't seen pitch Perfect three. Daniel, 860 00:47:13,719 --> 00:47:16,840 Speaker 1: you have seen it, huge fan of the whole franchise. 861 00:47:16,880 --> 00:47:20,400 Speaker 1: The second one was little Pitch is Back. Third one 862 00:47:20,480 --> 00:47:24,520 Speaker 1: was definitely better than the second one. But there are wait, 863 00:47:24,560 --> 00:47:27,600 Speaker 1: so what is the evidence that, oh, you're trying to 864 00:47:27,680 --> 00:47:31,880 Speaker 1: present for this conspiracy? Exactly? Well, the plot of the 865 00:47:32,080 --> 00:47:35,520 Speaker 1: first two movies were college acapella group doing a competition, 866 00:47:36,040 --> 00:47:38,080 Speaker 1: and now they're all out of college and they decided 867 00:47:38,080 --> 00:47:40,080 Speaker 1: to form this acapella like just like be an independent 868 00:47:40,120 --> 00:47:43,359 Speaker 1: acapella group. And the competition that they have this time 869 00:47:43,400 --> 00:47:48,800 Speaker 1: around is to go to compete against other actual bands 870 00:47:49,640 --> 00:47:52,160 Speaker 1: across a bunch of military bases to find out who 871 00:47:52,239 --> 00:47:55,720 Speaker 1: is going to open for DJ Khaled in the broader, 872 00:47:55,880 --> 00:48:00,840 Speaker 1: longer USO tour UH. And I didn't immediately think of 873 00:48:00,920 --> 00:48:04,560 Speaker 1: it as pro military until I read j M stuff, 874 00:48:04,600 --> 00:48:09,000 Speaker 1: because they didn't. You're not like going into parts of 875 00:48:09,040 --> 00:48:12,560 Speaker 1: the world that that scream very military to me. It's 876 00:48:12,600 --> 00:48:14,800 Speaker 1: not You're not in Afghanistan or Iraq or anything like that. 877 00:48:14,960 --> 00:48:17,600 Speaker 1: It's like, it seemed like the tour was a loose 878 00:48:17,680 --> 00:48:19,719 Speaker 1: excuse to get them to go to Rome and to 879 00:48:19,760 --> 00:48:21,279 Speaker 1: get them to go to Spain and these very like 880 00:48:21,920 --> 00:48:25,719 Speaker 1: vacation spots. They're not like you you don't see any 881 00:48:25,800 --> 00:48:29,200 Speaker 1: battle field actually whatsoever. Yeah, there's no battlefield, but thinking 882 00:48:29,239 --> 00:48:33,320 Speaker 1: about it, they're always on some different, beautiful UH military 883 00:48:33,400 --> 00:48:36,480 Speaker 1: base and there's a bunch of hunky, well dressed soldiers 884 00:48:36,520 --> 00:48:40,040 Speaker 1: walking around being great and perfect and appreciative of this 885 00:48:40,120 --> 00:48:45,280 Speaker 1: acapella group. It's very strange. It's just such a weird 886 00:48:45,600 --> 00:48:48,839 Speaker 1: turn for the movie to organically make on their own. 887 00:48:49,120 --> 00:48:51,760 Speaker 1: That's not even the weirdest turn. And there's some spoilers 888 00:48:51,880 --> 00:48:55,320 Speaker 1: if that's okay right now. Spoiler alert in case you 889 00:48:55,360 --> 00:48:57,839 Speaker 1: don't want pits Perfect three ruined for you. Mostly plot 890 00:48:58,040 --> 00:49:01,480 Speaker 1: driven film, so the old way perfect. John Lithgow plays 891 00:49:01,560 --> 00:49:06,279 Speaker 1: Fat Ammy's estranged father who kidnaps all of the uh 892 00:49:06,840 --> 00:49:10,600 Speaker 1: Bella's and they have to fight their way off of 893 00:49:10,719 --> 00:49:14,879 Speaker 1: his boat and then ultimately blow it up. Really huh 894 00:49:15,160 --> 00:49:20,520 Speaker 1: it became an action film. Uh franchise has everything and 895 00:49:20,840 --> 00:49:24,600 Speaker 1: like the the soldiers are like the hunks right there, 896 00:49:24,719 --> 00:49:28,640 Speaker 1: like the hot dudes, the love interest. Um, I mean, 897 00:49:28,719 --> 00:49:31,200 Speaker 1: if there's one thing I know men in the military 898 00:49:31,320 --> 00:49:35,000 Speaker 1: love acapella groups, that is that's one thing they're known for, 899 00:49:35,239 --> 00:49:38,000 Speaker 1: so that I mean it's tracking for me. Honestly. The 900 00:49:38,040 --> 00:49:42,120 Speaker 1: problem here that was like a legitimately confusing part because 901 00:49:42,160 --> 00:49:46,480 Speaker 1: they're competing against uh this like punk rock band and 902 00:49:46,920 --> 00:49:51,000 Speaker 1: like very large uh Edward Sharpen Magnetic zero type band, 903 00:49:51,440 --> 00:49:54,279 Speaker 1: and the Bellas feel very insecure because they don't have 904 00:49:54,320 --> 00:49:56,200 Speaker 1: instruments and like, no one's gonna like us. We're not 905 00:49:56,200 --> 00:49:58,480 Speaker 1: going to win this competition, which never scanned to me 906 00:49:58,560 --> 00:50:02,080 Speaker 1: as a plausible aflicted because your group is the group 907 00:50:02,160 --> 00:50:05,640 Speaker 1: full of beautiful women dressed scantily dancing and singing which 908 00:50:05,719 --> 00:50:08,080 Speaker 1: is what I think a lot of these men. Uh, 909 00:50:09,320 --> 00:50:14,320 Speaker 1: that's that's never Yeah, you know those famous USO tours 910 00:50:14,360 --> 00:50:19,080 Speaker 1: where the clash would come out all their instruments. Um, 911 00:50:19,760 --> 00:50:22,600 Speaker 1: that's that's very strange. But yeah, so this is this 912 00:50:22,800 --> 00:50:26,640 Speaker 1: is not unheard of, right. Top Gun was mostly paid 913 00:50:26,760 --> 00:50:30,279 Speaker 1: for by the US military. It was basically a you 914 00:50:30,360 --> 00:50:35,160 Speaker 1: know U S. Department of Defense, uh, recruiting going. Yeah, 915 00:50:35,320 --> 00:50:40,239 Speaker 1: they because the one thing that is extremely hard to fake, 916 00:50:40,800 --> 00:50:45,560 Speaker 1: and there aren't many of them that you can get 917 00:50:45,600 --> 00:50:47,520 Speaker 1: your hands on that aren't owned by the military are 918 00:50:47,560 --> 00:50:52,880 Speaker 1: aircraft carriers. Those are uh, those are the like you know, 919 00:50:53,080 --> 00:50:58,840 Speaker 1: that's also how you measure a military's strength is like 920 00:50:59,239 --> 00:51:02,080 Speaker 1: how many air have carriers do they have? And you know, 921 00:51:02,200 --> 00:51:05,160 Speaker 1: most most nations can only afford like one or two, 922 00:51:05,320 --> 00:51:09,640 Speaker 1: so you can movies can't shoot on aircraft carriers without 923 00:51:10,000 --> 00:51:14,040 Speaker 1: help from the military. Uh. Sometimes the military will just 924 00:51:14,400 --> 00:51:18,640 Speaker 1: refuse to help and they won't give a movie like 925 00:51:18,880 --> 00:51:23,800 Speaker 1: any military hardware like access or whatever, right, which is 926 00:51:24,600 --> 00:51:28,880 Speaker 1: difficult because yes, so for instance, Independence Day is a 927 00:51:29,000 --> 00:51:32,520 Speaker 1: movie that has a bunch of fighter jet scenes and 928 00:51:32,920 --> 00:51:35,440 Speaker 1: they had to do that without the aid of the 929 00:51:35,520 --> 00:51:40,680 Speaker 1: military because the military wanted to give them some script notes. 930 00:51:40,880 --> 00:51:44,520 Speaker 1: They did not want Randy Quaid's character, uh, the drunk 931 00:51:44,840 --> 00:51:49,040 Speaker 1: crop dusting pilot uh, to first of all be a 932 00:51:49,160 --> 00:51:52,719 Speaker 1: drunk former military person presumably, but also they didn't want 933 00:51:52,840 --> 00:51:54,359 Speaker 1: him to be the one who saved the day. They 934 00:51:54,400 --> 00:51:58,160 Speaker 1: wanted a soldier to be the one who saved the day. Um. 935 00:51:58,680 --> 00:52:02,840 Speaker 1: And the the filmmakers were like, uh, why don't you 936 00:52:03,120 --> 00:52:08,120 Speaker 1: let us handle the climax to our movement um And 937 00:52:08,480 --> 00:52:12,040 Speaker 1: they were like, no, funck that. Uh. So they with 938 00:52:13,320 --> 00:52:18,160 Speaker 1: for Randy Quaid, I know, I know. Uh, but they 939 00:52:18,239 --> 00:52:22,319 Speaker 1: also didn't want Will Smith, who's a marine in the movie. Uh. 940 00:52:22,400 --> 00:52:24,839 Speaker 1: They didn't want his wife to be a stripper, even 941 00:52:24,840 --> 00:52:28,200 Speaker 1: though his wife is like a lovely character who is 942 00:52:28,320 --> 00:52:32,120 Speaker 1: trying to, you know, work towards being a nurse, right 943 00:52:32,160 --> 00:52:34,839 Speaker 1: first of all, girlfriend, second of all, becomes a nurse, 944 00:52:34,880 --> 00:52:36,920 Speaker 1: and then by the second Independence day is like the 945 00:52:37,000 --> 00:52:40,680 Speaker 1: head of the whole hospital. Oh really yeah nice? Um. Yeah. 946 00:52:40,800 --> 00:52:43,799 Speaker 1: So I don't know, it's interesting that it's worth thinking 947 00:52:43,840 --> 00:52:47,000 Speaker 1: about when you're watching a movie, who's paying for it 948 00:52:47,760 --> 00:52:51,919 Speaker 1: and whether there's any any of the military money tied 949 00:52:52,000 --> 00:52:54,680 Speaker 1: up in there. Uh. We we don't know for sure, 950 00:52:54,760 --> 00:52:58,080 Speaker 1: nobody has like found the receipts that, uh say, the 951 00:52:58,200 --> 00:53:01,160 Speaker 1: Pentagon paid for Pitch Perfect three. There's just a lot 952 00:53:01,239 --> 00:53:05,560 Speaker 1: of weird questions. It seems like things are shoehorned in 953 00:53:05,840 --> 00:53:09,520 Speaker 1: or left unnecessary, right. Yeah, And they have been known 954 00:53:09,600 --> 00:53:14,160 Speaker 1: to do this to children's entertainment before. There was an 955 00:53:14,160 --> 00:53:16,560 Speaker 1: episode of Mickey Mouse Club which took place on a 956 00:53:16,640 --> 00:53:20,800 Speaker 1: nuclear submarine. Uh. Pentagon memo said, this is an excellent 957 00:53:20,880 --> 00:53:24,920 Speaker 1: opportunity to introduce a whole new generation to the nuclear navy. 958 00:53:25,680 --> 00:53:30,920 Speaker 1: Uh So that's something uh, Daniel. Yeah, it's been a 959 00:53:30,960 --> 00:53:33,000 Speaker 1: pleasure of having you. Oh, it's been a pleasure being here. 960 00:53:33,480 --> 00:53:37,719 Speaker 1: Where can people find you online? D o b Underscore 961 00:53:37,800 --> 00:53:40,319 Speaker 1: I n C on Twitter and that is the only 962 00:53:40,360 --> 00:53:41,920 Speaker 1: place that I want to be found. Even if you 963 00:53:41,960 --> 00:53:43,960 Speaker 1: find me on Facebook or or Instagram else where, just 964 00:53:44,320 --> 00:53:47,719 Speaker 1: leave me a little. It's not for you. Miles wreck 965 00:53:47,800 --> 00:53:50,600 Speaker 1: people find you can find me on Twitter and Instagram 966 00:53:50,719 --> 00:53:53,600 Speaker 1: at Miles of Gray. Can follow me a Jack Underscore 967 00:53:53,680 --> 00:53:57,400 Speaker 1: O'Brien on Twitter only. You can follow us on Twitter 968 00:53:57,600 --> 00:53:59,880 Speaker 1: at Daily See Guys. You can fell us on Answer 969 00:54:00,000 --> 00:54:02,720 Speaker 1: Graham at the Daily SI guys. We have Facebook fan page. 970 00:54:03,320 --> 00:54:06,399 Speaker 1: Just search Daily Zigeist, and we have a website daily 971 00:54:06,520 --> 00:54:09,799 Speaker 1: zigeist dot com where we post our episodes in our 972 00:54:09,840 --> 00:54:13,760 Speaker 1: footnote or we link off to all of the articles 973 00:54:13,880 --> 00:54:17,960 Speaker 1: and source material that we used to research each day's episode. 974 00:54:18,200 --> 00:54:20,759 Speaker 1: We don't lie. Uh, and we're gonna write out on 975 00:54:21,200 --> 00:54:26,520 Speaker 1: that William Schattner cover of Common People, and Uh, that's 976 00:54:26,520 --> 00:54:28,800 Speaker 1: gonna do it for today. I guess we will be 977 00:54:28,880 --> 00:54:31,359 Speaker 1: back tomorrow because it is a daily podcast. Talk you guys. 978 00:54:34,719 --> 00:54:37,200 Speaker 1: She came from Greece. She had a thirst for knowledge. 979 00:54:37,640 --> 00:54:41,080 Speaker 1: She studied sculpture at St. Martin's College. That's where I 980 00:54:42,760 --> 00:54:48,200 Speaker 1: caught her eye. She told me that her dad was loaded. 981 00:54:48,640 --> 00:54:51,560 Speaker 1: I said, in that case, I'll have a Roman Coca Cola. 982 00:54:51,880 --> 00:54:56,799 Speaker 1: She said five and in thirty seconds time, she said, 983 00:54:57,800 --> 00:55:01,279 Speaker 1: I want to live like Colla. I want to do 984 00:55:01,840 --> 00:55:05,520 Speaker 1: whatever common people do. I want to sleep with common people. 985 00:55:06,000 --> 00:55:10,600 Speaker 1: I want to sleep with common people like you. Well, 986 00:55:10,719 --> 00:55:13,120 Speaker 1: what else could I do? I said, I'll see what 987 00:55:13,200 --> 00:55:22,000 Speaker 1: I can do. I took her to a supermarket. I 988 00:55:22,080 --> 00:55:24,120 Speaker 1: don't know why, but I had to start it somewhere. 989 00:55:25,480 --> 00:55:31,879 Speaker 1: So it started there. I said, for it till you've 990 00:55:31,920 --> 00:55:35,680 Speaker 1: got no money. She just laughed and said, oh, were 991 00:55:35,719 --> 00:55:39,200 Speaker 1: you so funny? I said, yeah, well, I can't see 992 00:55:39,200 --> 00:55:42,759 Speaker 1: anyone else smiling in there? Are you sure you want 993 00:55:42,800 --> 00:55:46,200 Speaker 1: to live like common people? You want to see whatever 994 00:55:46,320 --> 00:55:49,280 Speaker 1: common people see. You want to sleep with common people. 995 00:55:49,800 --> 00:55:53,600 Speaker 1: You want to sleep with common people like le But 996 00:55:53,800 --> 00:56:01,200 Speaker 1: she didn't understand. She's just smiled out rants a flash 997 00:56:01,239 --> 00:56:05,120 Speaker 1: of father shop, cut your hair and get a job, 998 00:56:05,680 --> 00:56:09,839 Speaker 1: smuts some flatter place, some food, Pretend you never went 999 00:56:09,960 --> 00:56:14,080 Speaker 1: to school. But still you'll never get it right when 1000 00:56:14,160 --> 00:56:18,760 Speaker 1: you're lighting fad at nights what you righteous final all? 1001 00:56:19,400 --> 00:56:22,680 Speaker 1: If you call your daddy could stop it all head. 1002 00:56:23,080 --> 00:56:27,040 Speaker 1: You'll never live like common people. You'll ever do whatever 1003 00:56:27,400 --> 00:56:31,399 Speaker 1: common people do. You'll never fail like common people. You'll 1004 00:56:31,440 --> 00:56:35,160 Speaker 1: never watch your life slide out of you and dance 1005 00:56:35,320 --> 00:57:04,480 Speaker 1: and brink and screw because there's still sing along with 1006 00:57:04,640 --> 00:57:12,960 Speaker 1: the common people sing along. Might just get your room below. 1007 00:57:13,360 --> 00:57:16,960 Speaker 1: They're laughing it into a stupid things that you do 1008 00:57:17,120 --> 00:57:23,479 Speaker 1: because you think that poor is cool, like the dog 1009 00:57:23,640 --> 00:57:27,400 Speaker 1: laying in a corner. They'll bite you and never want 1010 00:57:27,480 --> 00:57:32,600 Speaker 1: you to look out. They'll tear your insights out because 1011 00:57:32,760 --> 00:57:36,840 Speaker 1: everybody hates a church. Everybody hates it toil rest, especially 1012 00:57:36,920 --> 00:57:40,040 Speaker 1: wanted he thinks it's all such a yeah, and the 1013 00:57:40,200 --> 00:57:44,080 Speaker 1: chip stains priests will come out the back. You will 1014 00:57:44,240 --> 00:57:57,240 Speaker 1: never never safe. Nowhere left the existed and they burnt 1015 00:57:58,920 --> 00:58:09,680 Speaker 1: of wonder. Where's your plo shop? Tratch your hand, get 1016 00:58:09,720 --> 00:58:14,000 Speaker 1: at the shop, smoke some fat fool you preachell you 1017 00:58:14,480 --> 00:58:19,000 Speaker 1: give your shop stoolil you don't get a blight because 1018 00:58:19,040 --> 00:58:23,920 Speaker 1: when you hate and red it like watching rusts climb 1019 00:58:24,040 --> 00:58:27,040 Speaker 1: the wall. If you called your dad, he can sit 1020 00:58:27,160 --> 00:58:30,280 Speaker 1: up at all. Yeah, you don't never live like common 1021 00:58:30,400 --> 00:58:35,720 Speaker 1: dude over to never too with Colonel Bill. Like common people, 1022 00:58:35,800 --> 00:58:38,200 Speaker 1: you kill every wonder, like to ride out of you 1023 00:58:39,080 --> 00:58:43,120 Speaker 1: cant and drink trains rude because there's nothing else to 1024 00:58:43,520 --> 00:58:43,640 Speaker 1: te