1 00:00:00,240 --> 00:00:03,360 Speaker 1: Hello the Internet, A welcome to season sixty three, episode 2 00:00:03,360 --> 00:00:06,600 Speaker 1: two of their daily Zeitgeist, the podcast where we take 3 00:00:06,600 --> 00:00:09,160 Speaker 1: a deep bab into America's share consciousness using the headlines 4 00:00:09,240 --> 00:00:12,480 Speaker 1: box Office reports, TV ratings, was trending on Hughes and 5 00:00:12,720 --> 00:00:16,640 Speaker 1: social media's It's Thursday, January three. My name is Jack O'Brien, 6 00:00:16,680 --> 00:00:21,880 Speaker 1: a kay on How Stuff Work. There is a podcast 7 00:00:22,079 --> 00:00:29,800 Speaker 1: called Daily's like Geist. It's second rate, easily forgot if 8 00:00:29,880 --> 00:00:35,000 Speaker 1: not for Jack and Miles. Uh, there's another part of that, 9 00:00:35,040 --> 00:00:36,720 Speaker 1: but we're just gonna cut it off there. Thank you 10 00:00:36,800 --> 00:00:40,640 Speaker 1: Chris for Lang, and I'm thrilled to be joined by 11 00:00:40,680 --> 00:00:45,640 Speaker 1: my special co host, Ever Maynar gonna be back. Okay, 12 00:00:45,720 --> 00:00:52,879 Speaker 1: it's great to have you here. Um alright, Uh, well, 13 00:00:52,920 --> 00:00:56,600 Speaker 1: I love it. I love doing podcast. Yes, well, we're 14 00:00:56,640 --> 00:00:59,400 Speaker 1: through to be joined in our third seat by the 15 00:00:59,600 --> 00:01:09,000 Speaker 1: hilarious comedian Jenny is a green guy ight Gang Gang. Yeah. 16 00:01:09,640 --> 00:01:14,600 Speaker 1: It feels bad to say it because it's it's like, 17 00:01:14,720 --> 00:01:20,560 Speaker 1: oh yeah, I lean fully in and just say it 18 00:01:20,920 --> 00:01:26,000 Speaker 1: like angry. Well, anyways, Jenny, it's great to have you. 19 00:01:26,200 --> 00:01:28,119 Speaker 1: Happy to be here. Your hair looks great. I wish 20 00:01:28,160 --> 00:01:30,720 Speaker 1: our listeners could see. Oh, thank you. I got one 21 00:01:30,720 --> 00:01:40,959 Speaker 1: of those bellaged shook called bliss. Isn't that little a bailage? John? 22 00:01:41,319 --> 00:01:44,160 Speaker 1: It sounds like a meat loaf, like a meat dish. 23 00:01:45,160 --> 00:01:47,560 Speaker 1: What is it? I don't know how to pronounce it. 24 00:01:47,680 --> 00:01:51,200 Speaker 1: It's a hair hair thing where it goes dark to light. 25 00:01:51,520 --> 00:01:56,000 Speaker 1: I just assumed you had I had a T shirt 26 00:01:56,040 --> 00:02:01,280 Speaker 1: that did that. Yeah, greedy to your two shirt single. 27 00:02:03,760 --> 00:02:06,080 Speaker 1: Hey Jenny, we're gonna get to know you a little 28 00:02:06,120 --> 00:02:08,280 Speaker 1: bit better in a moment. But first we're gonna tell 29 00:02:08,320 --> 00:02:11,680 Speaker 1: our listeners a couple of the things we're talking about today. 30 00:02:11,880 --> 00:02:15,320 Speaker 1: We're gonna check in with Kanye West, see what he 31 00:02:15,440 --> 00:02:19,799 Speaker 1: spent his holiday break doing. Also Louis E. K. Also, 32 00:02:19,919 --> 00:02:22,520 Speaker 1: we're gonna talk about that twinning app that all the 33 00:02:22,600 --> 00:02:25,600 Speaker 1: kids are talking about it's all the rage. And we're 34 00:02:25,600 --> 00:02:29,320 Speaker 1: gonna talk about that wild s press conference not really 35 00:02:29,320 --> 00:02:32,959 Speaker 1: a press conference, sort of televised meeting that Trump had, 36 00:02:33,160 --> 00:02:36,239 Speaker 1: and many many other things. We're gonna be talking really 37 00:02:36,360 --> 00:02:39,839 Speaker 1: fast today. But first, Jenny, we like to ask our guest, 38 00:02:39,919 --> 00:02:42,600 Speaker 1: what is something from your search history that is revealing 39 00:02:42,639 --> 00:02:47,600 Speaker 1: about who you are? Oh? Well, I searched flu symptoms 40 00:02:47,639 --> 00:02:51,560 Speaker 1: for dogs? Oh no, can dogs get the flu? Dogs 41 00:02:51,639 --> 00:02:55,240 Speaker 1: can get the flu. Yeah, did you know that? Now? 42 00:02:55,320 --> 00:02:58,880 Speaker 1: You do know? I didn't know until earlier today. So 43 00:02:59,200 --> 00:03:00,960 Speaker 1: that's the kind of first. And I am just looking 44 00:03:01,040 --> 00:03:04,240 Speaker 1: up dog symptoms. Okay, and you have a dog. I'm 45 00:03:04,240 --> 00:03:05,919 Speaker 1: assuming I do have a dog, but I actually I 46 00:03:05,960 --> 00:03:07,760 Speaker 1: wasn't even looking them up for my dog. Is for 47 00:03:07,840 --> 00:03:10,840 Speaker 1: someone else's dog. So I'm a caring person. What are 48 00:03:10,880 --> 00:03:16,399 Speaker 1: the symptoms of dog flu um? Just sick stuffy noses? 49 00:03:17,440 --> 00:03:19,440 Speaker 1: Do we want to go over there? Pretty much the 50 00:03:19,480 --> 00:03:25,080 Speaker 1: same s Well, some people may not know. The dog's 51 00:03:25,120 --> 00:03:29,359 Speaker 1: gonna ship, dog's gonna vomit, dog's gonna sh either way. Yeah. 52 00:03:29,400 --> 00:03:34,080 Speaker 1: But like my experience, a lot when they have or 53 00:03:34,120 --> 00:03:41,520 Speaker 1: like you know, like panting, thank you, lethargic, they're tired. 54 00:03:41,600 --> 00:03:44,240 Speaker 1: They just want to watch Netflix all day. I think 55 00:03:44,280 --> 00:03:47,440 Speaker 1: my dog has had the flu for his entire life. Then, 56 00:03:47,600 --> 00:03:55,440 Speaker 1: because no, I have a cavalier soft dog ragging over here. 57 00:03:57,400 --> 00:04:00,880 Speaker 1: I think you might have heard of those cavalier King Charles, 58 00:04:03,360 --> 00:04:11,960 Speaker 1: but he is he is not. He's twelve years old. 59 00:04:12,000 --> 00:04:19,000 Speaker 1: And mostly, yes, Jenny, what is something you think is underrated? Okay, 60 00:04:19,480 --> 00:04:21,640 Speaker 1: this is very important to me. I think that back 61 00:04:21,680 --> 00:04:26,920 Speaker 1: scratchers are underrated, okay, because okay, I love I really like, 62 00:04:27,400 --> 00:04:30,839 Speaker 1: thank you ever appointed. She pointed at me and we 63 00:04:30,920 --> 00:04:35,080 Speaker 1: felt it. The connection. It was vibrant um sparks flew 64 00:04:35,160 --> 00:04:38,039 Speaker 1: from her fingers. But at every massage place you go to, 65 00:04:38,279 --> 00:04:41,680 Speaker 1: you can always get like massages or like hot stones 66 00:04:41,960 --> 00:04:44,600 Speaker 1: or all this crap, but no one's ever like back 67 00:04:44,640 --> 00:04:47,440 Speaker 1: scratching and all those things. And it is the best. 68 00:04:47,600 --> 00:04:49,359 Speaker 1: It is the best. I've gotten to the point where like, 69 00:04:49,680 --> 00:04:51,400 Speaker 1: if I'll have a one night stand and I'm not 70 00:04:51,480 --> 00:04:53,919 Speaker 1: having a good time, I'll just be like, stop what 71 00:04:53,960 --> 00:04:59,560 Speaker 1: you're doing, scratch money minute, And they're more weirded out 72 00:04:59,600 --> 00:05:02,680 Speaker 1: by that request, like they're like that's too intimate, and 73 00:05:02,720 --> 00:05:07,239 Speaker 1: I'm like, you're awful. Yeah, just get on the back. 74 00:05:07,560 --> 00:05:10,880 Speaker 1: So you were making fun of me for being high fluting, 75 00:05:11,080 --> 00:05:15,480 Speaker 1: but then you were referring to humans as backscratchers most 76 00:05:15,480 --> 00:05:18,239 Speaker 1: of it, Like I was picturing like the handheld device. 77 00:05:18,600 --> 00:05:22,919 Speaker 1: Now you're you're just like, I have backscratchers. Yeah, scratched 78 00:05:23,000 --> 00:05:25,120 Speaker 1: my back. Well, if I didn't come, then I want 79 00:05:25,160 --> 00:05:28,159 Speaker 1: a backscratch. That's fair. It's a fair trait. It is 80 00:05:28,240 --> 00:05:30,560 Speaker 1: totally fair, and I love getting my back scratch and 81 00:05:32,800 --> 00:05:37,080 Speaker 1: oh my god, that's my favorite part. I feel like 82 00:05:37,120 --> 00:05:40,640 Speaker 1: that part's like, you know, it feels selfish too much. 83 00:05:40,680 --> 00:05:42,960 Speaker 1: I want them to be part of it, right, Yeah, 84 00:05:43,080 --> 00:05:47,160 Speaker 1: so get those backscratches. Everyone likest their back scratched, but 85 00:05:47,279 --> 00:05:50,840 Speaker 1: no one is like, this is an untapped market. Just 86 00:05:51,080 --> 00:05:55,360 Speaker 1: you know, dog, we can all be involved. What if 87 00:05:55,400 --> 00:05:57,719 Speaker 1: you know there's like a smr and that like porn 88 00:05:57,800 --> 00:06:03,359 Speaker 1: stuff with feet We did like a scratch. Yeah, but 89 00:06:03,440 --> 00:06:05,680 Speaker 1: how can a YouTube channel scratch your back? Yeah? They 90 00:06:05,720 --> 00:06:09,360 Speaker 1: just watch you just watch someone scratch. I don't want 91 00:06:09,360 --> 00:06:12,680 Speaker 1: to do that. Back scratching is a very your back 92 00:06:12,760 --> 00:06:17,000 Speaker 1: on film tactile. Yeah, it's fine. You need no weird 93 00:06:17,040 --> 00:06:21,840 Speaker 1: stuff for friends. Do you want to watch this backscratching compilation? 94 00:06:22,000 --> 00:06:27,160 Speaker 1: I mean that's all my back. Yeah, I mean asleep, 95 00:06:27,200 --> 00:06:31,160 Speaker 1: what I did, It already exists. I can just already said. 96 00:06:32,880 --> 00:06:35,480 Speaker 1: What is something you think is overraight of fast food? 97 00:06:35,640 --> 00:06:39,440 Speaker 1: Hip burger chains? Fast food hip? Yeah, so like in 98 00:06:39,480 --> 00:06:42,960 Speaker 1: and Out and shake Shack. I think they're highly overrated 99 00:06:44,240 --> 00:06:48,480 Speaker 1: and has terrible French fries. They Shake Shack is tiny burgers. 100 00:06:48,800 --> 00:06:53,919 Speaker 1: Long lines Yeah, long lines for what? Longlines for what? 101 00:06:56,760 --> 00:07:00,360 Speaker 1: That's how that song goes and finally, what is a myth? 102 00:07:00,440 --> 00:07:02,520 Speaker 1: What's something people think it's true? You know to be 103 00:07:02,600 --> 00:07:08,320 Speaker 1: false that if you pee on a jellyfish sting it 104 00:07:08,360 --> 00:07:11,480 Speaker 1: helps it. It doesn't what people just out here trying 105 00:07:11,480 --> 00:07:15,120 Speaker 1: to pee on people. We can also make those videos 106 00:07:15,200 --> 00:07:19,000 Speaker 1: like we could make those videos are made. I just 107 00:07:19,040 --> 00:07:25,840 Speaker 1: trolled beaches when it needs to get paid on Hey jellyfish. No, 108 00:07:25,960 --> 00:07:29,880 Speaker 1: I didn't come here. Did that happen to you? No? 109 00:07:30,480 --> 00:07:32,240 Speaker 1: I don't let people pee on me. But how do 110 00:07:32,240 --> 00:07:36,160 Speaker 1: you know it's not true because it's a it's a myth. No, 111 00:07:36,280 --> 00:07:39,800 Speaker 1: because he did it on Oh do you Live Your 112 00:07:39,840 --> 00:07:48,160 Speaker 1: Life by Friends? Yeah, it still holds up. Yeah, that 113 00:07:48,280 --> 00:07:50,200 Speaker 1: is a myth. And that is a really good question 114 00:07:50,240 --> 00:07:53,600 Speaker 1: of how that particular myth comes because some dude was 115 00:07:53,680 --> 00:07:58,600 Speaker 1: just like, oh, yeah, I know what I'll do. This 116 00:07:58,680 --> 00:08:00,800 Speaker 1: person is in pain. I think I'll just pay on them. 117 00:08:00,960 --> 00:08:04,800 Speaker 1: Yeah that's what I think. That's Oh yeah, no, no, no, 118 00:08:04,840 --> 00:08:08,360 Speaker 1: I read in a book that it helps story about it? 119 00:08:09,000 --> 00:08:15,040 Speaker 1: You coming here tomorrow? Yeah? On again, that's what happened. Yeah, 120 00:08:15,200 --> 00:08:18,160 Speaker 1: And I bet partially it was like someone got caught 121 00:08:18,400 --> 00:08:22,360 Speaker 1: peeing on themselves or something, and that was the explanation 122 00:08:22,360 --> 00:08:26,200 Speaker 1: they gave. I think there are actual things that you're 123 00:08:26,240 --> 00:08:29,640 Speaker 1: supposed to pee on. Is that correct? Maybe that maybe 124 00:08:29,640 --> 00:08:38,840 Speaker 1: they're confused sticks toilets, A bundle of sticks. I like 125 00:08:39,000 --> 00:08:41,880 Speaker 1: that for sport in the South and was like, hey, man, 126 00:08:43,240 --> 00:08:46,400 Speaker 1: come pay on these. Yeah. I feel like that kind 127 00:08:46,400 --> 00:08:48,920 Speaker 1: of defeats the purpose. You start with one stick, and 128 00:08:48,960 --> 00:08:51,320 Speaker 1: then you see how many sticks you can pee on. 129 00:08:51,760 --> 00:08:57,720 Speaker 1: You just keep like, is someone they're feeding the sticks? 130 00:09:00,000 --> 00:09:07,600 Speaker 1: It's a family, all right, guys, let's get into the 131 00:09:07,640 --> 00:09:11,640 Speaker 1: pressing news that we've been missing out on over our 132 00:09:11,679 --> 00:09:16,559 Speaker 1: holiday breaks. How is everybody's holiday, by the way, good? Great, wonderful. 133 00:09:16,640 --> 00:09:19,240 Speaker 1: I had a good time. I was not allowing any 134 00:09:19,600 --> 00:09:22,840 Speaker 1: negative stories there. I was just like it was good, right, Yeah, 135 00:09:23,200 --> 00:09:27,719 Speaker 1: I think everyone everyone's here, Yeah, everybody seems relaxed. Well, 136 00:09:27,800 --> 00:09:30,880 Speaker 1: Kanye has been volatile, believe it or not. What do 137 00:09:31,000 --> 00:09:35,360 Speaker 1: you stop? It been hot and cold? You would say. So, 138 00:09:36,000 --> 00:09:38,559 Speaker 1: this is actually a good example of why we stopped 139 00:09:38,640 --> 00:09:40,679 Speaker 1: doing a segment of the show we used to do 140 00:09:40,760 --> 00:09:44,920 Speaker 1: called bloyd Watch, where we would look at the covers 141 00:09:44,960 --> 00:09:48,959 Speaker 1: of tabloids and talk about, you know, the news contained 142 00:09:49,040 --> 00:09:52,800 Speaker 1: therein and whether we thought it was true because sometimes 143 00:09:52,800 --> 00:09:56,679 Speaker 1: tabloids do get things wrong. But they literally have two 144 00:09:56,880 --> 00:10:00,520 Speaker 1: baseless claims that they make about celebrities. They're that they're 145 00:10:00,520 --> 00:10:04,840 Speaker 1: getting divorced or that they're pregnant. And they guessed exactly 146 00:10:04,920 --> 00:10:08,000 Speaker 1: wrong with Kim and Kanye because they've been saying they're 147 00:10:08,000 --> 00:10:10,559 Speaker 1: getting a divorce for the past year and it turns 148 00:10:10,600 --> 00:10:18,160 Speaker 1: out there intentionally pregnant via a surrogate. So they're actively 149 00:10:18,280 --> 00:10:21,720 Speaker 1: family planning when they were supposed to be trying to 150 00:10:21,760 --> 00:10:24,760 Speaker 1: divorce one another. But that's big news in the world 151 00:10:24,760 --> 00:10:29,800 Speaker 1: of Kanye and Kim. Well, I think all their kids 152 00:10:29,800 --> 00:10:35,080 Speaker 1: have been very excited to be I bet you're making 153 00:10:35,120 --> 00:10:40,040 Speaker 1: a ship ton of money. It's curious fun. They're like, 154 00:10:40,440 --> 00:10:42,880 Speaker 1: what's up, brownie? Do you want to carry this baby? 155 00:10:43,000 --> 00:10:47,920 Speaker 1: I would be like, yeah, how much? And then I 156 00:10:47,960 --> 00:10:49,959 Speaker 1: would be like, do you want me to sign this contract? 157 00:10:49,960 --> 00:10:51,959 Speaker 1: Then I give it to you. No. I wouldn't hold 158 00:10:51,960 --> 00:10:56,720 Speaker 1: a baby hostage on the run. Is that the kind 159 00:10:56,720 --> 00:11:00,280 Speaker 1: of person we are? I don't know much. Everything would 160 00:11:00,280 --> 00:11:02,920 Speaker 1: do it just for the story, just for the bloy. 161 00:11:03,120 --> 00:11:06,679 Speaker 1: Just like you know, in forty years, tell my grandkids like, yeah, 162 00:11:07,000 --> 00:11:14,080 Speaker 1: your parents are We're gonna talk a little bit. Well, 163 00:11:14,160 --> 00:11:16,280 Speaker 1: now we're gonna talk a little bit later about things 164 00:11:16,280 --> 00:11:21,360 Speaker 1: movies are predicted for. And I honestly think that that 165 00:11:21,520 --> 00:11:25,680 Speaker 1: is probably a more like, for instance, Handmaid's Tale. You 166 00:11:25,760 --> 00:11:29,400 Speaker 1: just described Handmaid's Tale, except instead of being hunted by 167 00:11:29,559 --> 00:11:33,040 Speaker 1: like the Dystopian government, you're being hunted by Kim and Kanye. 168 00:11:33,480 --> 00:11:38,080 Speaker 1: Isn't that the same thing? Yeah? Well, you mean the 169 00:11:38,120 --> 00:11:42,599 Speaker 1: Kardashians isn't spinoff of the Handmaids down right? It's very 170 00:11:42,640 --> 00:11:49,439 Speaker 1: similar in many ways. Yeah, it's also Kanye is crazy again, 171 00:11:49,559 --> 00:11:51,680 Speaker 1: like he's back off the wagon. He claims he loves 172 00:11:51,720 --> 00:11:55,360 Speaker 1: Trump again. All day he said, uh, and we'll be 173 00:11:55,440 --> 00:11:58,600 Speaker 1: rocking a Maga hat on stage. And then he also 174 00:11:58,640 --> 00:12:03,000 Speaker 1: got met at Drake four were following his wife on Instagram, 175 00:12:03,160 --> 00:12:08,080 Speaker 1: even though she has a nine million followers on Instagram. 176 00:12:08,440 --> 00:12:10,760 Speaker 1: He said, I never knew till this morning that Drake 177 00:12:10,800 --> 00:12:13,959 Speaker 1: followed my wife on Instagram back in September. I had 178 00:12:14,000 --> 00:12:15,959 Speaker 1: to bring this up because it's the most fucked up 179 00:12:15,960 --> 00:12:18,840 Speaker 1: thing of all. Imagine having a problem with somebody and 180 00:12:18,840 --> 00:12:22,080 Speaker 1: they follow your wife on Instagram. We truly wish this 181 00:12:22,120 --> 00:12:24,040 Speaker 1: man the best and pray that he will find the 182 00:12:24,080 --> 00:12:29,720 Speaker 1: same happiness that we have. So yeah, it's somewhat confusing. 183 00:12:29,920 --> 00:12:32,480 Speaker 1: Oh my god, I can't wait to be this rich 184 00:12:32,520 --> 00:12:37,240 Speaker 1: and delusional. Yeah, pajama rich. He would say, what's so 185 00:12:37,400 --> 00:12:40,679 Speaker 1: they have beef? Yeah, they have beef. Like there there 186 00:12:40,720 --> 00:12:44,160 Speaker 1: was all sorts of Drake thought Kanye told push a 187 00:12:44,240 --> 00:12:50,000 Speaker 1: t about his secret child. Uh, and I forgot about that. Yeah, 188 00:12:50,160 --> 00:12:53,319 Speaker 1: And they both are like acknowledging that it's like wrestling 189 00:12:53,360 --> 00:12:56,040 Speaker 1: stuff and it's all fake, Like they keep referring to 190 00:12:56,080 --> 00:12:58,360 Speaker 1: it as like a wrestling feud. And but then like 191 00:12:58,440 --> 00:13:00,680 Speaker 1: you can tell their feelings are actually hurt by each 192 00:13:00,679 --> 00:13:08,200 Speaker 1: other because I will ask, is Drake like a dangerous guy? 193 00:13:08,280 --> 00:13:10,520 Speaker 1: Because he talks about it, he wraps about it, but 194 00:13:10,720 --> 00:13:13,840 Speaker 1: he seems like the safest of them all. He seems 195 00:13:13,920 --> 00:13:18,480 Speaker 1: like a college undergrad. You know. It's like they're not 196 00:13:19,120 --> 00:13:22,480 Speaker 1: safest of them all, I know, especially not at Baylor. 197 00:13:22,559 --> 00:13:28,880 Speaker 1: What's up? Sorry, I just came back from Texas. So yeah, 198 00:13:28,920 --> 00:13:32,560 Speaker 1: there's a lot of Texas material and really angry. They 199 00:13:32,600 --> 00:13:36,840 Speaker 1: all got away with it anyways, and they always do anyways. 200 00:13:36,840 --> 00:13:41,640 Speaker 1: Back to cock, back to comedy, to Drake. Yeah, I 201 00:13:41,679 --> 00:13:44,559 Speaker 1: mean when I see Drake, I'm like here's a safe 202 00:13:44,600 --> 00:13:49,120 Speaker 1: man with a beard who acts tough. But is it 203 00:13:49,120 --> 00:13:54,040 Speaker 1: it is dangerous that a bubby has a bubby? Come on? 204 00:13:54,400 --> 00:13:58,840 Speaker 1: I feel like Drake has some sense that he doesn't 205 00:13:59,000 --> 00:14:02,560 Speaker 1: come off like he's always trying to meet like the 206 00:14:03,520 --> 00:14:07,880 Speaker 1: hardness and like anger of rap in some way, but 207 00:14:08,120 --> 00:14:10,600 Speaker 1: because he doesn't have anything to be angry about, and 208 00:14:10,720 --> 00:14:14,640 Speaker 1: he's kind of a soft dude, Like he just ends 209 00:14:14,679 --> 00:14:19,760 Speaker 1: up being like mad about really stupid ship. Yeah, he's 210 00:14:19,840 --> 00:14:24,160 Speaker 1: just like real, real upset and sensitive and that's okay 211 00:14:24,160 --> 00:14:27,440 Speaker 1: to be. Yeah, yeah, I think it is fine. I mean, like, 212 00:14:27,480 --> 00:14:30,240 Speaker 1: if we're allowing other people to express their feelings and 213 00:14:30,800 --> 00:14:35,320 Speaker 1: be sensitive, we have to also extend it to rappers. 214 00:14:35,560 --> 00:14:37,720 Speaker 1: But he does seem to spend a lot of his 215 00:14:37,840 --> 00:14:41,880 Speaker 1: time in paying homage to the original values of rap, 216 00:14:42,240 --> 00:14:44,800 Speaker 1: like being like, yeah, but I have friends who will 217 00:14:44,920 --> 00:14:51,320 Speaker 1: kill you, so that makes me to friend if Yeah, alright, Drake, 218 00:14:53,640 --> 00:15:00,560 Speaker 1: let's talk about Louis c k get today. Yeah, speaking 219 00:15:00,600 --> 00:15:03,520 Speaker 1: of men getting away with it, he just did four 220 00:15:03,720 --> 00:15:06,800 Speaker 1: nine minutes of stand up somebody recorded, uploaded to YouTube, 221 00:15:07,320 --> 00:15:12,120 Speaker 1: and it, I don't know, It's not great. It makes 222 00:15:12,120 --> 00:15:15,360 Speaker 1: fun of non binary people, it makes fun of the 223 00:15:15,440 --> 00:15:19,000 Speaker 1: Parkland kids. He's like, he says that he doesn't think 224 00:15:19,440 --> 00:15:23,680 Speaker 1: surviving a school shooting makes you inherently interesting, but it 225 00:15:23,800 --> 00:15:26,840 Speaker 1: just I don't know. I started listening to it. I'll 226 00:15:26,840 --> 00:15:30,800 Speaker 1: listen to the whole thing and report back on tomorrow's episode. 227 00:15:30,840 --> 00:15:36,560 Speaker 1: But it does seem like he has taken the Like 228 00:15:36,640 --> 00:15:38,760 Speaker 1: he starts out talking about what a bad year he had, 229 00:15:38,960 --> 00:15:42,840 Speaker 1: and it seems like he thinks the year happened to 230 00:15:42,960 --> 00:15:46,840 Speaker 1: him like that. He doesn't, he didn't do anything. And 231 00:15:46,960 --> 00:15:49,880 Speaker 1: Dana Gould former guest Dana Gould was saying, like, when 232 00:15:50,000 --> 00:15:53,080 Speaker 1: Richard Pryor came out to do stand up after, you know, 233 00:15:53,160 --> 00:15:56,280 Speaker 1: lighting himself on fire free Basing, he knew he had 234 00:15:56,320 --> 00:15:58,720 Speaker 1: to like make himself the butt of the joke and 235 00:15:58,800 --> 00:16:02,680 Speaker 1: acknowledge his part in the problem that he had just 236 00:16:02,920 --> 00:16:06,320 Speaker 1: become famous for having. And it seems like Louis c. 237 00:16:06,440 --> 00:16:09,000 Speaker 1: K is instead just like, man, that was a bad 238 00:16:09,080 --> 00:16:11,800 Speaker 1: thing that happened to me, huh, and then kind of 239 00:16:11,920 --> 00:16:15,560 Speaker 1: and moving on just trying to like some people are 240 00:16:15,560 --> 00:16:18,880 Speaker 1: defending him as this is what his jokes have always 241 00:16:18,880 --> 00:16:21,440 Speaker 1: been like, And I think that's kind of the problem, 242 00:16:21,680 --> 00:16:24,400 Speaker 1: is that like his old material doesn't really work. That 243 00:16:24,560 --> 00:16:30,440 Speaker 1: hasn't evolved at all. Right, Yeah, I mean I don't 244 00:16:31,120 --> 00:16:33,280 Speaker 1: care that he came back to stand up, but yeah, 245 00:16:33,360 --> 00:16:36,960 Speaker 1: if he's not addressing anything that we all kind of 246 00:16:37,000 --> 00:16:42,320 Speaker 1: want him to address. Yeah, and then he says dumb shift, right, 247 00:16:42,720 --> 00:16:45,200 Speaker 1: which like when he talked about, um, you know, punching 248 00:16:45,200 --> 00:16:49,560 Speaker 1: a baby deer in the face, We're just like, oh, 249 00:16:49,840 --> 00:16:54,160 Speaker 1: that crazy guy, right, and now it's like, oh, who 250 00:16:54,200 --> 00:16:57,320 Speaker 1: are you? Who are you trying to like punch down 251 00:16:57,440 --> 00:17:00,800 Speaker 1: to right? I mean he's always been like part of 252 00:17:00,840 --> 00:17:04,879 Speaker 1: his thing has always been being able to get people 253 00:17:04,880 --> 00:17:08,800 Speaker 1: to give him the benefit of the doubt via his performance, 254 00:17:08,880 --> 00:17:12,080 Speaker 1: Like that was a large part of like, and then 255 00:17:12,119 --> 00:17:14,600 Speaker 1: he would say incredibly fucked up things, but you would 256 00:17:14,640 --> 00:17:18,439 Speaker 1: just let him because of I don't know his stage 257 00:17:18,440 --> 00:17:23,320 Speaker 1: presence or whatever. But now that doesn't work as well. 258 00:17:23,880 --> 00:17:27,800 Speaker 1: When you're revealed to not deserve the benefit of that doubt, 259 00:17:27,960 --> 00:17:31,240 Speaker 1: I guess, well it's been revealed. It's like he's not 260 00:17:31,320 --> 00:17:33,360 Speaker 1: a good person. Where he passed to be like, oh, 261 00:17:33,400 --> 00:17:35,639 Speaker 1: you're a normal person that has these thoughts that some 262 00:17:35,720 --> 00:17:38,400 Speaker 1: of us always have been, you're reflecting that, and now 263 00:17:38,440 --> 00:17:41,840 Speaker 1: it's like, oh, you're just trash. And the ship about 264 00:17:41,960 --> 00:17:44,360 Speaker 1: like I have to listen to these Parkland kids like 265 00:17:44,800 --> 00:17:48,080 Speaker 1: you pushed a did like you pushed a fat kid. Yeah, 266 00:17:48,119 --> 00:17:50,000 Speaker 1: out of the way. And then it just like what 267 00:17:50,160 --> 00:17:52,720 Speaker 1: the funk? Like that's number one, not even a good joke. 268 00:17:53,240 --> 00:17:55,399 Speaker 1: It's not a good joke. It's open my stuff. But 269 00:17:55,440 --> 00:17:57,760 Speaker 1: I was talking to someone about this earlier. It's it's 270 00:17:57,800 --> 00:18:01,360 Speaker 1: kind of like he's just maybe the left has has 271 00:18:01,440 --> 00:18:05,680 Speaker 1: now been like bye bye, but the right who will, 272 00:18:06,480 --> 00:18:09,680 Speaker 1: like you, probably enjoy those jokes and be like, yeah 273 00:18:09,800 --> 00:18:14,359 Speaker 1: he was wrongly whatever, And now he's talking about stuff 274 00:18:14,400 --> 00:18:17,879 Speaker 1: I want to talk about. Yeah, like we'll get an audience. 275 00:18:18,160 --> 00:18:20,919 Speaker 1: We lost what forty three million and thirty minutes or something? 276 00:18:21,000 --> 00:18:23,160 Speaker 1: What was that complain that that was his first thing 277 00:18:23,200 --> 00:18:28,240 Speaker 1: that he lost thirty million and like one day masturbated 278 00:18:28,400 --> 00:18:30,720 Speaker 1: in front of some people that you and I know, right, 279 00:18:31,200 --> 00:18:33,680 Speaker 1: it wasn't like a bad day on the stock market. Yeah, 280 00:18:34,040 --> 00:18:38,560 Speaker 1: like oh yeah, alright, Well, guys are gonna take a 281 00:18:38,640 --> 00:18:51,760 Speaker 1: quick break. We'll be right back and her back and 282 00:18:52,400 --> 00:18:57,200 Speaker 1: uh the app that's driving everybody crazy this uh week, 283 00:18:57,600 --> 00:19:01,760 Speaker 1: I don't know. Uh yeah, it's been a long time 284 00:19:01,760 --> 00:19:05,960 Speaker 1: off guys. Uh yeah, So Twinning. Have you guys done 285 00:19:05,960 --> 00:19:11,840 Speaker 1: the Twinning app? Now? Now? No? No. I thought it 286 00:19:11,920 --> 00:19:14,280 Speaker 1: was like a bad tweet that everybody was trying to mimic. 287 00:19:14,720 --> 00:19:16,720 Speaker 1: You know, everybody tries to do a meme. I didn't 288 00:19:16,720 --> 00:19:18,960 Speaker 1: really have an app. I just thought, my friends are 289 00:19:19,000 --> 00:19:21,240 Speaker 1: making bad means. It's not even an app, that's of 290 00:19:21,280 --> 00:19:24,359 Speaker 1: a web page. I'm just mad because they said I 291 00:19:24,400 --> 00:19:28,679 Speaker 1: looked most like a bachelor, a former bachelor. Um, I 292 00:19:28,720 --> 00:19:31,959 Speaker 1: look like a former bachelor when not smiling. When I 293 00:19:32,000 --> 00:19:36,880 Speaker 1: have glasses on, I look like Rich Summer from Mad Men. Notably, 294 00:19:36,920 --> 00:19:39,679 Speaker 1: we have the exact same glasses, so that was I 295 00:19:39,720 --> 00:19:42,320 Speaker 1: think the only similarity is he the one that that 296 00:19:42,400 --> 00:19:46,320 Speaker 1: became like a hard Krishna for like a minute. Did 297 00:19:46,359 --> 00:19:48,879 Speaker 1: he know he was the one? He was hairy? He 298 00:19:48,960 --> 00:19:52,520 Speaker 1: was just always like a sour dick. I can't remember 299 00:19:53,480 --> 00:19:57,120 Speaker 1: all those angry, angry white guys in the sixties. Yeah, 300 00:19:58,440 --> 00:20:01,600 Speaker 1: into one guys. But anyways, none of the three people 301 00:20:01,680 --> 00:20:05,360 Speaker 1: that I supposedly look like look like each other, so 302 00:20:05,600 --> 00:20:09,679 Speaker 1: I don't know. Just objectively, as an online experience, the 303 00:20:09,920 --> 00:20:13,560 Speaker 1: Google app is that told you what piece of art 304 00:20:13,720 --> 00:20:16,359 Speaker 1: or character from a work of art you look like. 305 00:20:16,440 --> 00:20:20,679 Speaker 1: It's just a better experience objectively, Like, it seems like 306 00:20:20,720 --> 00:20:25,399 Speaker 1: it actually found someone who looked like you. Where is 307 00:20:25,480 --> 00:20:29,480 Speaker 1: this is just like looks for superficial similarities? Wow? Are 308 00:20:29,520 --> 00:20:37,000 Speaker 1: you okay about this? I'm fine. Um, we just have 309 00:20:37,160 --> 00:20:44,480 Speaker 1: matching glasses, not a form of the Other thing that 310 00:20:44,800 --> 00:20:47,159 Speaker 1: is not great about this app is that they leaked 311 00:20:47,680 --> 00:20:51,600 Speaker 1: people's Like there was just like zero security from the start, 312 00:20:51,960 --> 00:20:55,040 Speaker 1: and so there was just a folder anyone could get 313 00:20:55,080 --> 00:20:59,280 Speaker 1: to that was holding all of the images that people 314 00:20:59,280 --> 00:21:03,480 Speaker 1: were uploading to the web page. So pretty corny. Yeah, 315 00:21:03,920 --> 00:21:08,840 Speaker 1: it's pretty horny. Just some developers just clicking through photos. Right, Yeah, 316 00:21:08,840 --> 00:21:14,720 Speaker 1: what about this? This is my new avatar? Hello, I'll 317 00:21:14,760 --> 00:21:17,840 Speaker 1: be friends. The grossest sound ever. Yeah, that is such 318 00:21:17,880 --> 00:21:21,840 Speaker 1: a gross Well I'm glad I didn't do it. I 319 00:21:21,920 --> 00:21:24,440 Speaker 1: glad I didn't fall into the trap. I know. We 320 00:21:24,440 --> 00:21:26,000 Speaker 1: were like, oh, have you done it? Now? You should 321 00:21:26,080 --> 00:21:28,679 Speaker 1: check it out, and then explained to you what the 322 00:21:28,680 --> 00:21:31,520 Speaker 1: problem was and this was a pop sugar dot com thing. 323 00:21:31,760 --> 00:21:38,800 Speaker 1: It was a pop Sugar dot com. Um, I think 324 00:21:38,840 --> 00:21:42,520 Speaker 1: they did not because after the whole story about them 325 00:21:42,720 --> 00:21:48,280 Speaker 1: leaking things broke, I then uploaded my own picture. Do 326 00:21:48,320 --> 00:21:50,879 Speaker 1: you think that was a conspiracy thing like users are 327 00:21:50,880 --> 00:21:54,159 Speaker 1: starting to dip, so pop sugar was like no telements, 328 00:21:54,240 --> 00:21:57,280 Speaker 1: not secure, and then people went to it again probably 329 00:21:57,480 --> 00:22:00,480 Speaker 1: like you know one of those like marketing, like we'll 330 00:22:00,560 --> 00:22:02,840 Speaker 1: create a disaster and people want to see the car 331 00:22:02,920 --> 00:22:04,840 Speaker 1: right now. I'm sure it was a disaster. I'm sure 332 00:22:04,880 --> 00:22:07,200 Speaker 1: there are a bunch of dummies or just like whatever. 333 00:22:07,960 --> 00:22:10,880 Speaker 1: I feel like pop sugar dot com and I need 334 00:22:10,880 --> 00:22:13,240 Speaker 1: to have a great talk and it feels like do 335 00:22:13,280 --> 00:22:15,280 Speaker 1: you ever see that the John Oliver He had that 336 00:22:15,320 --> 00:22:18,080 Speaker 1: show a long time ago. This was really horrible about 337 00:22:18,160 --> 00:22:21,560 Speaker 1: like I'm gonna stop fat people from existing and uh 338 00:22:22,000 --> 00:22:23,960 Speaker 1: it was like he went to the fattest city in 339 00:22:24,000 --> 00:22:26,920 Speaker 1: America and was like I want to stop everyone from 340 00:22:26,920 --> 00:22:30,679 Speaker 1: being fat and it was gross. But he did this 341 00:22:30,720 --> 00:22:32,440 Speaker 1: thing with like a bunch of kids where he showed 342 00:22:32,440 --> 00:22:34,679 Speaker 1: them how chicken nuggs were made. Were like he stripped 343 00:22:34,720 --> 00:22:38,399 Speaker 1: down a carcass, grinded the bones up, then like just 344 00:22:38,440 --> 00:22:40,439 Speaker 1: show them how awful it was. And at the end 345 00:22:40,480 --> 00:22:42,960 Speaker 1: he's like, now who wants one? And they're all like me, 346 00:22:44,720 --> 00:22:50,040 Speaker 1: I love chicken because they're delicious. You just can't as 347 00:22:50,080 --> 00:22:53,800 Speaker 1: bad as stuff. People were like not John Oliver. Wait, Jamie, 348 00:22:56,280 --> 00:22:59,119 Speaker 1: but I wish it was John Oliver. I was super 349 00:23:00,760 --> 00:23:08,879 Speaker 1: what that John Oliver was? Sorry everyone, celebrity chef Jamie Oliver. Yeah, 350 00:23:09,720 --> 00:23:15,000 Speaker 1: not to be confused with celebrity anxiety ridden human John Oliver. 351 00:23:15,720 --> 00:23:19,560 Speaker 1: But I feel like this is, uh, you know, one 352 00:23:19,560 --> 00:23:22,919 Speaker 1: of those examples of the fun face that we're putting 353 00:23:22,920 --> 00:23:27,439 Speaker 1: on the dystopian nightmare that we're sort of lower being 354 00:23:27,560 --> 00:23:31,600 Speaker 1: slowly lowered into. Because what do you mean slowly right, Well, 355 00:23:31,920 --> 00:23:35,000 Speaker 1: it's yeah, but it's something that it's not like, oh 356 00:23:35,040 --> 00:23:39,399 Speaker 1: my god. And then Skynet became self aware and like 357 00:23:39,560 --> 00:23:41,520 Speaker 1: launched all the nukes at the same time. It's like 358 00:23:41,560 --> 00:23:46,640 Speaker 1: we're slowly just walking down the steps into the dystopia. 359 00:23:46,920 --> 00:23:49,920 Speaker 1: But because they're like fun things like ah, you look 360 00:23:50,000 --> 00:23:53,640 Speaker 1: like Tom Cruise that it's just like I do look 361 00:23:53,640 --> 00:23:56,880 Speaker 1: like Yeah, Tom Cruise was on there when I smiled. 362 00:23:56,960 --> 00:23:59,719 Speaker 1: So I'll tell you what celebrity you smell like. If 363 00:24:00,160 --> 00:24:03,240 Speaker 1: it's your last four digits of your social I gotta know, 364 00:24:03,359 --> 00:24:13,360 Speaker 1: I gotta know that's I know I shouldn't do it, um, 365 00:24:13,440 --> 00:24:16,640 Speaker 1: but yeah, I mean so like the facial recognition thing 366 00:24:16,800 --> 00:24:25,320 Speaker 1: is London. London's police force just alright. So we're joined 367 00:24:25,359 --> 00:24:35,000 Speaker 1: by one of the bobbies. Hey, officer crumbledon. Uh So 368 00:24:35,080 --> 00:24:39,720 Speaker 1: they were they were using facial recognition and facial scanning 369 00:24:39,880 --> 00:24:43,840 Speaker 1: technology to scan the faces of Christmas shoppers in London 370 00:24:44,400 --> 00:24:50,040 Speaker 1: thievery boogers. I think they were worried about, you know, terrorism, 371 00:24:50,640 --> 00:24:53,320 Speaker 1: also shoplifting. I'm sure it was at the top of 372 00:24:53,359 --> 00:24:57,160 Speaker 1: their list. They saw home alone and we're like, God, 373 00:24:57,400 --> 00:25:01,760 Speaker 1: not on my watch, it's Christmas time, brit Uh. But 374 00:25:02,400 --> 00:25:05,720 Speaker 1: you know it's China is really good at it because 375 00:25:05,720 --> 00:25:09,840 Speaker 1: they have like all of their citizens faces in a 376 00:25:09,920 --> 00:25:14,320 Speaker 1: database and so they've been able to algorithmically just figure 377 00:25:14,359 --> 00:25:18,320 Speaker 1: out how to match facial technology. But I think in 378 00:25:18,359 --> 00:25:20,760 Speaker 1: the West we're still not great at it because a 379 00:25:20,880 --> 00:25:26,600 Speaker 1: whopping of the matches used by the technology were mistakes. 380 00:25:26,840 --> 00:25:30,520 Speaker 1: In the case of the London Police Force. Oh yeah, 381 00:25:30,560 --> 00:25:35,080 Speaker 1: remember David Schwimmer. What happened? David was fake David Swimmer. 382 00:25:35,119 --> 00:25:37,880 Speaker 1: It's not a facial recognition thing, but the dude got 383 00:25:37,880 --> 00:25:41,400 Speaker 1: caught on the security camera like stealing beer. Right, yeah, 384 00:25:41,520 --> 00:25:45,159 Speaker 1: it looks like David Swimmer. Ross David. I know you 385 00:25:45,280 --> 00:25:50,560 Speaker 1: keep saying his name, Yes, I know, David. Yeah, wait 386 00:25:50,560 --> 00:25:54,879 Speaker 1: who wasn't If you say it enough, is he gonna appear? 387 00:25:55,320 --> 00:26:06,119 Speaker 1: So I'm doing it. Hey, we're on a book. He 388 00:26:06,240 --> 00:26:10,520 Speaker 1: does have like a vague Texas accent to yeah, I 389 00:26:10,520 --> 00:26:12,359 Speaker 1: will say you towards the end of the season, because 390 00:26:12,400 --> 00:26:15,600 Speaker 1: my roommate and I were like watching it, yeah, and 391 00:26:15,960 --> 00:26:19,880 Speaker 1: he started getting kind of buff. Oh yeah. Well once 392 00:26:19,920 --> 00:26:25,240 Speaker 1: they're like like ross, what are you doing? Yeah. I 393 00:26:25,240 --> 00:26:28,640 Speaker 1: feel like that happens sometimes because they see themselves on camera, 394 00:26:29,080 --> 00:26:33,200 Speaker 1: and so as they're becoming more seen by more people, 395 00:26:33,359 --> 00:26:38,159 Speaker 1: they're also like having less touch with reality and fewer 396 00:26:38,160 --> 00:26:42,320 Speaker 1: and fewer people tell them like, no, your job is 397 00:26:42,359 --> 00:26:45,080 Speaker 1: not to look awesome on camera. It's to play the 398 00:26:45,200 --> 00:26:50,400 Speaker 1: role of this insecure paleontologist. But he was a paleontologist 399 00:26:50,960 --> 00:26:57,600 Speaker 1: or like a paleontologist, you know, handsome, buff paleontology professor. 400 00:26:58,040 --> 00:27:01,119 Speaker 1: I don't know, that's probably I'm sure I'm sucking up 401 00:27:01,119 --> 00:27:06,000 Speaker 1: some watched friends ever. Um. But yeah, and then once 402 00:27:06,040 --> 00:27:08,919 Speaker 1: you get to the peak of your fame, you stopped 403 00:27:09,240 --> 00:27:13,880 Speaker 1: changing everything about yourself, which is why Michael Jordan's still 404 00:27:14,000 --> 00:27:17,760 Speaker 1: dresses like it's yeah, well it caught up eventually. Yeah, 405 00:27:18,280 --> 00:27:21,800 Speaker 1: Now he's the Pinnacle style exactly. Yeah, I did come 406 00:27:21,800 --> 00:27:24,800 Speaker 1: back around and just keep dressing the way you're dressing. 407 00:27:25,359 --> 00:27:30,880 Speaker 1: It'll show up again eventually. Amazon has patented a new 408 00:27:31,240 --> 00:27:34,760 Speaker 1: doorbell camera that would be equipped with technology that allows 409 00:27:34,840 --> 00:27:38,520 Speaker 1: the device to gather data and identify people considered to 410 00:27:38,600 --> 00:27:44,159 Speaker 1: be quote suspicious, which is scary. Does it also squirt 411 00:27:44,200 --> 00:27:46,280 Speaker 1: water out of it and people ring it got you? 412 00:27:48,800 --> 00:27:51,080 Speaker 1: That would be again, that would be like the fun 413 00:27:51,280 --> 00:27:55,119 Speaker 1: version of this is that it would like have you 414 00:27:55,160 --> 00:27:59,040 Speaker 1: know it looks like some video getting squirted in the 415 00:27:59,080 --> 00:28:06,679 Speaker 1: face Tom Cruise movie. Facial recognition, Yeah, or arrest people 416 00:28:06,720 --> 00:28:13,760 Speaker 1: before they do something, yes, yeah, that is identity nope, 417 00:28:13,960 --> 00:28:20,440 Speaker 1: minority report. Yeah, but they have facial scanners and retina 418 00:28:20,480 --> 00:28:22,960 Speaker 1: scanners all over the place in that one. So we're 419 00:28:22,960 --> 00:28:29,280 Speaker 1: getting there. We're getting there. All right, Let's let's talk 420 00:28:29,359 --> 00:28:33,520 Speaker 1: once again about I've been missing him because I didn't. 421 00:28:33,600 --> 00:28:36,199 Speaker 1: I chose not to pay attention to the news as 422 00:28:36,280 --> 00:28:39,680 Speaker 1: much as possible. Over Well, we took some time off, 423 00:28:40,360 --> 00:28:45,760 Speaker 1: but he's back our president ever. Yeah, he's still doing it, 424 00:28:45,920 --> 00:28:50,560 Speaker 1: still at it, you guys. President Donald Trump had a 425 00:28:50,680 --> 00:28:56,560 Speaker 1: sort of half press conference like televised meeting yesterday full 426 00:28:56,560 --> 00:28:59,480 Speaker 1: of just a lot of comedic highlights. He was surrounded 427 00:28:59,480 --> 00:29:03,120 Speaker 1: by people I didn't recognize, and then super producer Nick 428 00:29:03,200 --> 00:29:05,760 Speaker 1: Stuff pointed out that that was his cabinet and it's 429 00:29:05,800 --> 00:29:07,920 Speaker 1: just you don't recognize any of them because he's like 430 00:29:08,280 --> 00:29:10,760 Speaker 1: fired all of them or they've all quit in the past, 431 00:29:11,360 --> 00:29:16,600 Speaker 1: like their subordinates. Yeah, it's all just yeah people people 432 00:29:16,640 --> 00:29:20,479 Speaker 1: who are in the hallway who were willing to come in. Uh, 433 00:29:20,760 --> 00:29:23,640 Speaker 1: did you finally hire that a kid mowing the lawn? Yeah? 434 00:29:23,760 --> 00:29:28,400 Speaker 1: I think he did so. Here just a quick highlight reel. 435 00:29:28,760 --> 00:29:31,560 Speaker 1: He boasted he would have been a great general. He 436 00:29:31,640 --> 00:29:35,960 Speaker 1: insisted his generals were better looking than Tom Cruise and stronger, 437 00:29:37,000 --> 00:29:41,600 Speaker 1: even our five star general Tom Cruise. Right. He complained 438 00:29:41,960 --> 00:29:44,320 Speaker 1: that he spent Christmas all alone at the White House, 439 00:29:44,560 --> 00:29:46,880 Speaker 1: quote except for all the guys out on the lawn 440 00:29:46,920 --> 00:29:50,200 Speaker 1: with machine guns, which sounds like a crazy like I 441 00:29:50,200 --> 00:29:53,960 Speaker 1: I get what he was saying, because there are snipers everywhere, 442 00:29:54,000 --> 00:29:56,680 Speaker 1: but it doesn't. It sounds like a confused old man 443 00:29:56,840 --> 00:29:58,920 Speaker 1: who just like was looking out the window of the 444 00:29:58,920 --> 00:30:01,400 Speaker 1: White House was like it sounds like the start of 445 00:30:01,560 --> 00:30:08,440 Speaker 1: a Sindbad movie. Sinbad Home for Christmas at the White House. Yeah, 446 00:30:08,720 --> 00:30:13,520 Speaker 1: old man President's not having a good time. But nixt 447 00:30:13,560 --> 00:30:16,800 Speaker 1: Tuff just pointed out that he did specify that they 448 00:30:16,840 --> 00:30:19,680 Speaker 1: were the nicest machine guns he'd ever seen, and I 449 00:30:19,720 --> 00:30:21,760 Speaker 1: think that he waved to a couple of the guys 450 00:30:21,800 --> 00:30:26,240 Speaker 1: with the machine guns, so there was a particularly confused moment. 451 00:30:26,280 --> 00:30:32,280 Speaker 1: The Tom Cruise kind of ramble was particularly weird. So 452 00:30:32,360 --> 00:30:34,760 Speaker 1: he said, I had a meeting at the Pentagon with 453 00:30:34,840 --> 00:30:37,840 Speaker 1: lots of generals. They were like from a movie, better 454 00:30:37,880 --> 00:30:43,120 Speaker 1: looking than Tom Cruise and stronger. Laughs alone, nobody else 455 00:30:43,200 --> 00:30:46,760 Speaker 1: is laughing. Everyone's like, uh, and I had more generals 456 00:30:46,760 --> 00:30:49,600 Speaker 1: than I've ever seen and we were at the bottom 457 00:30:49,640 --> 00:30:58,400 Speaker 1: of this incredible room. It doesn't sound like military respect, 458 00:30:58,480 --> 00:31:02,960 Speaker 1: Yeah exactly, I said, I said, and then my dad 459 00:31:03,080 --> 00:31:04,920 Speaker 1: was there, but it really wasn't my dad. It was 460 00:31:04,960 --> 00:31:09,640 Speaker 1: actually a gun, right, doesn't it sound like then? Okay, 461 00:31:09,680 --> 00:31:12,959 Speaker 1: this is I'm continuing to read this quote. I said, 462 00:31:13,000 --> 00:31:15,600 Speaker 1: this is the greatest room I've ever seen, with more 463 00:31:15,720 --> 00:31:19,880 Speaker 1: computer boards than they make today. That's great. Our military 464 00:31:19,960 --> 00:31:25,280 Speaker 1: should be ahead of its time. Computer boards, computer boards 465 00:31:25,360 --> 00:31:29,240 Speaker 1: then they make today, What does that make them? That's 466 00:31:29,280 --> 00:31:34,040 Speaker 1: how many we have? Yeah? One computer started great collection. 467 00:31:34,080 --> 00:31:38,320 Speaker 1: Our military is strong, powerful and technical bunch of those 468 00:31:39,040 --> 00:31:44,440 Speaker 1: those I phone chargers just lined up and it's almost 469 00:31:44,520 --> 00:31:49,240 Speaker 1: as if they're just intending to make great comedic videos, 470 00:31:49,400 --> 00:31:52,080 Speaker 1: and maybe that's what's happening. Everybody around him have just 471 00:31:52,120 --> 00:31:55,040 Speaker 1: decided we're going to make this presidency as funny as possible, 472 00:31:55,040 --> 00:31:57,840 Speaker 1: because at the end of the press conference, they panned 473 00:31:57,880 --> 00:32:02,000 Speaker 1: out to reveal that a Game of Thrones inspired meme 474 00:32:02,120 --> 00:32:05,840 Speaker 1: where it was like Trump looking and it said sanctions 475 00:32:05,840 --> 00:32:08,880 Speaker 1: are coming, and he retweeted it. He just had a 476 00:32:08,920 --> 00:32:12,360 Speaker 1: poster sized version of that meme on the table in 477 00:32:12,440 --> 00:32:18,840 Speaker 1: front of him. Our tax dollars paid for this, all 478 00:32:18,880 --> 00:32:23,400 Speaker 1: of this, he's just all of this. I'm getting fucked 479 00:32:23,560 --> 00:32:28,880 Speaker 1: on taxes so our president can print a team? Was it? 480 00:32:29,160 --> 00:32:31,680 Speaker 1: I really hope it wasn't mean that's like just regular printer, 481 00:32:31,800 --> 00:32:36,560 Speaker 1: but tile get me a print out of that. Imagine 482 00:32:36,600 --> 00:32:40,200 Speaker 1: being like the fucking intern or like his son, and 483 00:32:40,200 --> 00:32:42,560 Speaker 1: it was like what he would He was like, haven't 484 00:32:42,560 --> 00:32:44,840 Speaker 1: got to got to go like FedEx print that on 485 00:32:45,200 --> 00:32:47,440 Speaker 1: cardboard and someone will be like, what is this. It's 486 00:32:47,520 --> 00:32:50,160 Speaker 1: like this is for your preson Is this for your 487 00:32:50,200 --> 00:32:53,760 Speaker 1: fourteen year old? They'd be like, no, this for the president. 488 00:32:54,520 --> 00:32:58,440 Speaker 1: It does make it hard to take seriously. I feel 489 00:32:58,480 --> 00:33:03,000 Speaker 1: like maybe it's maybe that's the goal. It's so depressed. 490 00:33:03,040 --> 00:33:06,800 Speaker 1: But the people who this resonates with it makes total sense. 491 00:33:07,320 --> 00:33:12,160 Speaker 1: It does especially like, you know a lot of people 492 00:33:12,200 --> 00:33:15,720 Speaker 1: are like older people and then also weird rich people 493 00:33:15,760 --> 00:33:19,760 Speaker 1: that are that are educated. And it does sound also isolated. 494 00:33:20,480 --> 00:33:23,880 Speaker 1: It does sound like an elderly person without any context 495 00:33:23,960 --> 00:33:26,840 Speaker 1: walking into a modern workplace just being like they were 496 00:33:26,880 --> 00:33:31,760 Speaker 1: computer boards. And this guy, he's as handsome as Tom Cruise. 497 00:33:31,880 --> 00:33:34,520 Speaker 1: This is almost like when you work for a streaming 498 00:33:34,560 --> 00:33:38,719 Speaker 1: service in production and it's so easy. You just upload 499 00:33:38,800 --> 00:33:42,120 Speaker 1: something to like content Hub or a Google doc, and 500 00:33:42,160 --> 00:33:44,680 Speaker 1: then you have older executives who don't know how to 501 00:33:44,760 --> 00:33:46,560 Speaker 1: use a computer, so you have to print out a 502 00:33:46,640 --> 00:33:49,160 Speaker 1: DVD and slide it under the door, and they don't 503 00:33:49,200 --> 00:33:52,479 Speaker 1: even watch it. You can hear. Anyways, I have just 504 00:33:52,520 --> 00:33:59,160 Speaker 1: some work stuff coming up, just some shade and old producers. 505 00:34:00,280 --> 00:34:04,400 Speaker 1: You know who you are, old ass Fox. Hey, Well, 506 00:34:04,400 --> 00:34:12,040 Speaker 1: speaking of old ass Fox, old ass Fox, Romney, leader 507 00:34:12,080 --> 00:34:21,040 Speaker 1: of the Resistance. Imagine him going down, going down a 508 00:34:21,040 --> 00:34:26,720 Speaker 1: comment to scratch my back and find that whatever scratches 509 00:34:27,760 --> 00:34:31,000 Speaker 1: he could do anything. Romney clips his fingernails every morning. 510 00:34:31,080 --> 00:34:36,680 Speaker 1: That's dope considered. Maybe he's like superhuman fan erotica for 511 00:34:36,800 --> 00:34:40,960 Speaker 1: you guys, I would look at that. I don't think 512 00:34:41,000 --> 00:34:45,000 Speaker 1: I would look at Trump fins erotica of Romney fighting 513 00:34:45,080 --> 00:34:49,440 Speaker 1: Joe Biden and then as they're rolling on the ground. 514 00:34:50,760 --> 00:34:54,279 Speaker 1: Sounds like you're writing one of your own. So Mitt 515 00:34:54,360 --> 00:34:57,920 Speaker 1: Romney announced that he would be the new leader of 516 00:34:58,160 --> 00:35:02,040 Speaker 1: the Resistance with bed in the Washington Post, where he 517 00:35:02,560 --> 00:35:08,399 Speaker 1: criticized Trump on like manners. Basically, it seems like, which 518 00:35:08,440 --> 00:35:12,120 Speaker 1: is something you see a lot with people who oppose 519 00:35:12,200 --> 00:35:16,360 Speaker 1: Trump who are still sort of part of the mainstream 520 00:35:16,480 --> 00:35:20,640 Speaker 1: political elite and the mainstream media. Even is that they're 521 00:35:20,719 --> 00:35:23,680 Speaker 1: complaint with Trump seems to be more based on, you know, 522 00:35:23,760 --> 00:35:28,560 Speaker 1: the fact that he doesn't show respect for these institutions. 523 00:35:28,760 --> 00:35:33,799 Speaker 1: And it's you know, because the things that mainstream Republicans 524 00:35:33,800 --> 00:35:37,440 Speaker 1: are for are still pretty monstrous. Like the places that 525 00:35:37,480 --> 00:35:41,279 Speaker 1: they differentiate themselves from Trump are just you know that 526 00:35:41,440 --> 00:35:44,000 Speaker 1: he makes it sound as bad as it is in 527 00:35:44,040 --> 00:35:47,279 Speaker 1: a lot of cases, he's like, doesn't try to sugarcoat 528 00:35:47,400 --> 00:35:51,200 Speaker 1: things that much. I mean, I think there is some 529 00:35:51,280 --> 00:35:55,319 Speaker 1: validity to the complaint that like the whole he's not 530 00:35:55,400 --> 00:35:59,640 Speaker 1: politically correct. Thing is bad because you know, racism has 531 00:35:59,680 --> 00:36:04,000 Speaker 1: contained you to become more public and acceptable among racists, 532 00:36:04,040 --> 00:36:07,600 Speaker 1: and hate crimes are more common, and uh, you know 533 00:36:07,640 --> 00:36:10,759 Speaker 1: there's something to be said for that. And he also 534 00:36:10,800 --> 00:36:15,960 Speaker 1: pointed out that in two thousand sixteen, Pew research of 535 00:36:15,960 --> 00:36:19,160 Speaker 1: people in Germany and Britain and France and Canada saying 536 00:36:19,200 --> 00:36:21,439 Speaker 1: they believe the American president would do the right thing, 537 00:36:21,560 --> 00:36:23,759 Speaker 1: and one year later that number had fallen to six. 538 00:36:25,560 --> 00:36:29,000 Speaker 1: So that's not great because we're at a time in 539 00:36:29,200 --> 00:36:34,360 Speaker 1: history where you kind of need somebody to be a leader, 540 00:36:35,280 --> 00:36:42,799 Speaker 1: have like some is the leader now, right whatever, back 541 00:36:42,800 --> 00:36:49,400 Speaker 1: onto this podcast. Huh, reading these quotes comes to the 542 00:36:49,480 --> 00:36:55,560 Speaker 1: dating side. Yeah, this will be I don't know. He 543 00:36:55,680 --> 00:36:59,560 Speaker 1: still like structures his entire critique, like on the subject 544 00:36:59,560 --> 00:37:04,319 Speaker 1: of sevility and like that Trump shows poor character and that, 545 00:37:04,840 --> 00:37:07,480 Speaker 1: you know, we need a leader who has who is 546 00:37:07,520 --> 00:37:10,880 Speaker 1: a man of character. And some people are speculating that 547 00:37:10,920 --> 00:37:15,000 Speaker 1: this is the first step in Romney's plan to primary 548 00:37:15,080 --> 00:37:22,560 Speaker 1: Trump in I'm yeah, in the primary Trump in neurotic piction. 549 00:37:22,960 --> 00:37:30,719 Speaker 1: Oh yeah, he's just so robotic and in like, when 550 00:37:30,880 --> 00:37:33,760 Speaker 1: asked what his favorite meat was, he said hot dog. 551 00:37:34,760 --> 00:37:38,359 Speaker 1: And when I asked what his second favorite meat was, 552 00:37:38,400 --> 00:37:43,000 Speaker 1: he said hamburger. Um, like I just would he know 553 00:37:43,080 --> 00:37:47,560 Speaker 1: how to nibble like what I do. Probably eats people, 554 00:37:47,760 --> 00:37:50,200 Speaker 1: that's the thing. So rich, he probably eats people and 555 00:37:50,239 --> 00:37:53,480 Speaker 1: that's his favorite. Have you guys talked about that rich 556 00:37:53,520 --> 00:37:57,719 Speaker 1: guy in Florida? He didn't eat people, but he was 557 00:37:57,760 --> 00:38:02,040 Speaker 1: a child pedophile. And did we talk about this? We have, Yeah, 558 00:38:02,400 --> 00:38:06,160 Speaker 1: the guy who's a billionaire who was recruiting child sex 559 00:38:06,400 --> 00:38:13,920 Speaker 1: workers from marl Lago. Yeah what Yeah, I got kind 560 00:38:13,920 --> 00:38:16,440 Speaker 1: of got hushed. But the Miami Harold had this huge 561 00:38:16,520 --> 00:38:19,240 Speaker 1: expose about it. A lot of people were like, whoops. 562 00:38:19,280 --> 00:38:21,600 Speaker 1: But the guy who he's friends with this guy but 563 00:38:21,640 --> 00:38:24,800 Speaker 1: a lot of people that he serviced were so powerful 564 00:38:24,880 --> 00:38:28,600 Speaker 1: that they just shut it down. Oh so they would 565 00:38:28,840 --> 00:38:33,480 Speaker 1: he would go to mar lag and be like everybody. Well, 566 00:38:33,480 --> 00:38:35,960 Speaker 1: he also had a private island in a private jet 567 00:38:36,040 --> 00:38:39,839 Speaker 1: where a lot of these things real monster It's like 568 00:38:39,920 --> 00:38:44,320 Speaker 1: straight up the stuff you see in a Hollywood movie 569 00:38:44,400 --> 00:38:48,799 Speaker 1: with a Tom Cruise who's trying to save Spacey. The 570 00:38:48,800 --> 00:38:51,839 Speaker 1: guy's name is Jeffrey Epstein and people should check out 571 00:38:52,040 --> 00:38:58,200 Speaker 1: the Miami Harold ship about him. But Anyways, it's evening. 572 00:38:58,560 --> 00:39:01,640 Speaker 1: I think there was a poll that said that a 573 00:39:01,719 --> 00:39:07,160 Speaker 1: large portion of Iah Winds would approve of somebody trying 574 00:39:07,200 --> 00:39:11,239 Speaker 1: to challenge Trump in the primary. So and I was 575 00:39:11,280 --> 00:39:15,799 Speaker 1: obviously randomly important when it comes to presidential primaries. I 576 00:39:15,800 --> 00:39:18,319 Speaker 1: feel like people are getting tired of him. Yeah, yeah, 577 00:39:18,360 --> 00:39:21,040 Speaker 1: it seems like that might be happening. The government shutdown 578 00:39:21,080 --> 00:39:24,040 Speaker 1: doesn't seem like it's playing well with his base, according 579 00:39:24,080 --> 00:39:29,040 Speaker 1: to the five thirty eight Trump Popularity Ometer. Things see. 580 00:39:29,080 --> 00:39:30,960 Speaker 1: I still I think his base would still be like 581 00:39:31,080 --> 00:39:35,719 Speaker 1: it's a Democrat. Yeah, they're the reason because they won't 582 00:39:35,719 --> 00:39:38,279 Speaker 1: give our leader his money. That's what I assumed, But 583 00:39:38,320 --> 00:39:42,400 Speaker 1: I always assumed they just would be that on all things. 584 00:39:42,680 --> 00:39:45,920 Speaker 1: And for whatever reason, his approval rating is going down 585 00:39:45,960 --> 00:39:48,640 Speaker 1: and his disapproval rating is going up over the past 586 00:39:49,360 --> 00:39:52,000 Speaker 1: like five days, and that seems to be the thing 587 00:39:52,000 --> 00:39:54,440 Speaker 1: that changed, Like usually it takes a week for the 588 00:39:54,480 --> 00:39:57,640 Speaker 1: news cycle to filter down into a pinion polls, and 589 00:39:58,040 --> 00:40:00,480 Speaker 1: that seems like it's the thing that people are acting to. 590 00:40:00,920 --> 00:40:05,279 Speaker 1: But who knows. Maybe it was the fact that he 591 00:40:05,400 --> 00:40:09,560 Speaker 1: clearly has no concept of Christmas and hates Christmas, and 592 00:40:09,560 --> 00:40:12,360 Speaker 1: there's a Christmas movie villain. There are so many things 593 00:40:12,520 --> 00:40:16,359 Speaker 1: it's very hard to figure out. Actually, literally he's not 594 00:40:16,360 --> 00:40:20,839 Speaker 1: not really machine guns. Yes, just the best you've ever seen. 595 00:40:21,280 --> 00:40:23,359 Speaker 1: All right, we're going to take another quick break and 596 00:40:23,440 --> 00:40:37,600 Speaker 1: we'll be right back. And we're back. And I wanted 597 00:40:37,600 --> 00:40:42,440 Speaker 1: to take a look at what movies have predicted for 598 00:40:42,719 --> 00:40:48,880 Speaker 1: this year of Our Lord, because this was actually a 599 00:40:48,880 --> 00:40:55,720 Speaker 1: pretty significant year in dystopian movie history. Blade Runner takes place. 600 00:40:58,000 --> 00:41:05,120 Speaker 1: They predicted flying cars, lifelike human replicants, and everybody would 601 00:41:05,120 --> 00:41:10,319 Speaker 1: still smoke inside government buildings. Which but yeah, I guess 602 00:41:10,520 --> 00:41:14,600 Speaker 1: flying cars is something that people are making progress on, 603 00:41:14,719 --> 00:41:18,160 Speaker 1: but it's looking more like a thing. So they were 604 00:41:18,200 --> 00:41:21,440 Speaker 1: only sixteen years too early. But I guess with drone 605 00:41:21,440 --> 00:41:26,200 Speaker 1: technology and well, the replicants are are real. Are They 606 00:41:26,480 --> 00:41:29,839 Speaker 1: haven't seen that robot that can jump over boxes? Yes? 607 00:41:30,120 --> 00:41:34,600 Speaker 1: Have you seen that with the Dynamo Big Dog or whatever. 608 00:41:36,080 --> 00:41:38,560 Speaker 1: It's scary, it's scary. I think there. I think the 609 00:41:39,160 --> 00:41:41,520 Speaker 1: robot war is coming and they're all going to like 610 00:41:41,640 --> 00:41:45,920 Speaker 1: Sophia or what's Sophie who's now a Saudi Arabian citizen, 611 00:41:46,360 --> 00:41:49,480 Speaker 1: what's the robot? I think her name is Sophie, who's 612 00:41:49,480 --> 00:41:59,319 Speaker 1: a Saudi Arabian citizen. She's not a journalist, she can 613 00:41:59,360 --> 00:42:02,040 Speaker 1: be reprogram Yeah, and then and then Japan now has 614 00:42:02,040 --> 00:42:06,160 Speaker 1: a hotel that's completely run by robots. Robot, but those 615 00:42:06,239 --> 00:42:08,399 Speaker 1: robots are fake because they're like on a track. It's 616 00:42:08,440 --> 00:42:12,040 Speaker 1: not like yeah, it's more like, for now, you don't 617 00:42:12,040 --> 00:42:15,360 Speaker 1: know that robot could be having thoughts. West World was 618 00:42:15,400 --> 00:42:18,000 Speaker 1: a documentary like you're trying to challenge me right now 619 00:42:18,120 --> 00:42:23,440 Speaker 1: and I don't know why. Okay, you do not disagree 620 00:42:23,520 --> 00:42:33,640 Speaker 1: with the co host guest for now. The everything Blade 621 00:42:33,680 --> 00:42:37,680 Speaker 1: Runner clearly got right is that Atari is our biggest corporation. 622 00:42:38,600 --> 00:42:43,160 Speaker 1: The Atari runs everything, as as does pan Am Airlines. 623 00:42:43,360 --> 00:42:46,480 Speaker 1: Those are two of the big lake logos you see everywhere, 624 00:42:46,480 --> 00:42:51,360 Speaker 1: and the Blade Running universe. But yeah, they generally predicted 625 00:42:51,480 --> 00:42:55,040 Speaker 1: the fact that the world would be a lot of 626 00:42:55,960 --> 00:43:00,120 Speaker 1: lights and weird simulations and people distracting themselves. So I 627 00:43:00,200 --> 00:43:03,759 Speaker 1: was right, Yeah, they kind of nailed that. The Running Man, 628 00:43:04,760 --> 00:43:08,520 Speaker 1: which is an Arnold Schwarzenegger vehicle uh in which he 629 00:43:08,640 --> 00:43:13,240 Speaker 1: is framed for murder and then has to fight, slash 630 00:43:13,320 --> 00:43:18,080 Speaker 1: run his way out of a murder game show, sounds 631 00:43:18,160 --> 00:43:21,360 Speaker 1: far fetched, but Jenny, as you pointed, out. They have 632 00:43:21,520 --> 00:43:24,640 Speaker 1: like very specific like deep fake things that they called. 633 00:43:24,960 --> 00:43:28,880 Speaker 1: Didn't also have two governors in it? Did it was 634 00:43:29,000 --> 00:43:31,479 Speaker 1: Jesse the Body venture in it. Oh yeah, yeah, yeah, yeah, 635 00:43:31,520 --> 00:43:35,719 Speaker 1: two governors in that movie. Yeah, it was a lot 636 00:43:35,760 --> 00:43:37,880 Speaker 1: of people have referred to The Running Man as a 637 00:43:38,000 --> 00:43:41,920 Speaker 1: launching pad for politics for a lot of great political careers. 638 00:43:42,760 --> 00:43:44,840 Speaker 1: Obama got his start in The Running Man. He was 639 00:43:45,960 --> 00:43:48,160 Speaker 1: but yeah, deep fakes like they're they're able to just 640 00:43:48,320 --> 00:43:53,520 Speaker 1: manipulate videos in a way that is it's pretty impressive 641 00:43:53,680 --> 00:43:56,160 Speaker 1: that they got it as right as they did because 642 00:43:56,160 --> 00:43:59,680 Speaker 1: when you look at what they thought digital media was 643 00:43:59,719 --> 00:44:03,120 Speaker 1: going to look like, or like special effects or any 644 00:44:03,200 --> 00:44:07,640 Speaker 1: technology like Escape from New York, they have like everything 645 00:44:07,719 --> 00:44:11,040 Speaker 1: is still in like a three dimensional like green and 646 00:44:11,160 --> 00:44:15,399 Speaker 1: black matrix. So the fact that Running Man knew that 647 00:44:15,440 --> 00:44:19,319 Speaker 1: we would be messing with the ability to like put 648 00:44:19,400 --> 00:44:23,360 Speaker 1: someone into an actual video or remove them as pretty impressive. 649 00:44:24,120 --> 00:44:28,680 Speaker 1: And yeah, I mean it's a really cheesy game show 650 00:44:28,719 --> 00:44:33,080 Speaker 1: host is incredibly influential in that movies. So when the 651 00:44:33,120 --> 00:44:38,200 Speaker 1: girl goes through their shoot, I remember they one of 652 00:44:38,239 --> 00:44:42,560 Speaker 1: her the reason what is it called where she did 653 00:44:42,560 --> 00:44:48,840 Speaker 1: a bad thing? What of her cries her sin her sins. 654 00:44:49,120 --> 00:44:51,520 Speaker 1: One of the sins was that she like had a 655 00:44:51,520 --> 00:44:56,080 Speaker 1: premarital sex. Did you listen to it? I remember watching it. 656 00:44:59,520 --> 00:45:02,799 Speaker 1: I watched it very racent. Okay, wait they say pre 657 00:45:02,880 --> 00:45:05,920 Speaker 1: marital sex, like pre marital sex or she had sex 658 00:45:05,920 --> 00:45:12,640 Speaker 1: with more than one person, Like yeah, probably I was 659 00:45:12,680 --> 00:45:16,040 Speaker 1: just listening to that and being like, oh that was 660 00:45:16,120 --> 00:45:21,799 Speaker 1: considered bad they I mean, that's just kind to put 661 00:45:21,800 --> 00:45:26,520 Speaker 1: that out there. That's the girl who Arnold Schwarzenegger like 662 00:45:27,600 --> 00:45:30,400 Speaker 1: is incredibly violent towards at the beginning and ends up 663 00:45:30,480 --> 00:45:35,640 Speaker 1: kissing him hit her, yeah, like basically just like an 664 00:45:37,360 --> 00:45:41,200 Speaker 1: takes her as a hostage, but she ends up being 665 00:45:41,239 --> 00:45:44,200 Speaker 1: into him. But yeah, I mean that is kind of 666 00:45:44,200 --> 00:45:51,319 Speaker 1: a wild h you hear that? Guys? That is kind 667 00:45:51,320 --> 00:45:55,200 Speaker 1: of like I I know that for a lot of 668 00:45:55,320 --> 00:45:58,640 Speaker 1: my childhood, I thought that history only went in one 669 00:45:58,680 --> 00:46:04,399 Speaker 1: direction that like you, things got better or like more progressive, 670 00:46:04,600 --> 00:46:07,880 Speaker 1: I guess. And so for a movie where everything is 671 00:46:07,920 --> 00:46:12,960 Speaker 1: all future but people have more conservative morality, that's kind 672 00:46:12,960 --> 00:46:16,320 Speaker 1: of a a challenging idea for an Arnold Schwartz and 673 00:46:16,400 --> 00:46:20,120 Speaker 1: air action movie to be like, yes, and they will 674 00:46:20,200 --> 00:46:27,200 Speaker 1: view premarital sex as a sin punishable by running man death. Yeah. 675 00:46:27,360 --> 00:46:30,800 Speaker 1: The Island, now we're getting to the classics. Michael bays. 676 00:46:30,880 --> 00:46:35,680 Speaker 1: The Island tells the story of a island that's like 677 00:46:35,719 --> 00:46:40,240 Speaker 1: supposed to be a utopia, but all the people spoiler alert, guys, 678 00:46:41,040 --> 00:46:44,520 Speaker 1: all the people are actually clones who are just there 679 00:46:44,560 --> 00:46:50,080 Speaker 1: too provide rich people with oregon. I've never seen this either. 680 00:46:50,520 --> 00:46:53,120 Speaker 1: It's actually not a classic. I was being sarcastic. Do 681 00:46:53,200 --> 00:46:55,839 Speaker 1: the clones do they become aware that they're They do 682 00:46:56,080 --> 00:46:59,640 Speaker 1: and you and McGregor breaks out, but he's so he's 683 00:46:59,719 --> 00:47:06,640 Speaker 1: an and she and another a woman clone. They decide 684 00:47:06,800 --> 00:47:11,239 Speaker 1: to break out once they realize that they're just meat. Yeah, 685 00:47:11,360 --> 00:47:15,239 Speaker 1: just meet just organs for their How do they find out? 686 00:47:15,840 --> 00:47:20,839 Speaker 1: I don't know. I actually a real dumb I know 687 00:47:20,960 --> 00:47:24,879 Speaker 1: they don't they do? You've seen it? No, I'm gonna 688 00:47:24,880 --> 00:47:33,240 Speaker 1: have to Wikipedia this. Daybreakers and Ethan Hawk movie cigarettes cigarettesers, 689 00:47:34,840 --> 00:47:40,279 Speaker 1: Daybreakers cigarettes for men. That's what that sounds like. You 690 00:47:42,000 --> 00:47:48,160 Speaker 1: Sometimes cigarettes are just two girls, just enormous cigarettes. They're 691 00:47:48,200 --> 00:47:53,480 Speaker 1: just like really real big and phallic cigarettes. Don't worry. 692 00:47:53,640 --> 00:47:56,640 Speaker 1: It's not like you're sucking on someone else's dick. It's 693 00:47:56,640 --> 00:48:02,200 Speaker 1: your own. It's don't worried. It's your cigars. Don't worry, 694 00:48:02,520 --> 00:48:08,040 Speaker 1: Just pretend it's your dick. Um. Anyways, this movie is 695 00:48:08,120 --> 00:48:11,759 Speaker 1: actually about a plague that turns a large portion of 696 00:48:11,880 --> 00:48:15,680 Speaker 1: humanity into vampires. So I hope it doesn't happen in 697 00:48:15,800 --> 00:48:18,880 Speaker 1: my right Guess no, it's probably not going to happen, 698 00:48:19,560 --> 00:48:23,600 Speaker 1: unless we're speaking metaphorically, in which case it's already happened. 699 00:48:23,760 --> 00:48:26,799 Speaker 1: This is going in the romney. Yeah, on goop dot 700 00:48:26,800 --> 00:48:30,520 Speaker 1: com you can get a psychic vampire spray? Is that true? 701 00:48:30,960 --> 00:48:34,279 Speaker 1: What does that mean? Maybe there's a psychic vampire in 702 00:48:34,280 --> 00:48:38,080 Speaker 1: your life. You're an emotional vampire, you know, sucking the 703 00:48:38,280 --> 00:48:42,319 Speaker 1: emotions out of you, and you spray them. Oh, and 704 00:48:42,360 --> 00:48:45,919 Speaker 1: it keeps them off. It's like AWA for emotional vampires. Yeah, 705 00:48:45,920 --> 00:48:49,919 Speaker 1: I got it. Well, if you had like thirty bucks 706 00:48:49,960 --> 00:48:53,160 Speaker 1: and you didn't want to shoot on it just by 707 00:48:53,160 --> 00:49:07,719 Speaker 1: that stuff, did you seem defensive about it? Guest exco Anyways, 708 00:49:07,760 --> 00:49:10,160 Speaker 1: So Daybreakers, I mean, it was just a vampire movie. 709 00:49:10,360 --> 00:49:13,560 Speaker 1: It's like a vampire movie with a zombie movie premise. 710 00:49:14,280 --> 00:49:20,239 Speaker 1: Everybody gets turned into vampires via a zombie Plague's turned 711 00:49:20,280 --> 00:49:23,560 Speaker 1: me into a vampire? Who's like that? Kristen Dunst in 712 00:49:23,560 --> 00:49:27,680 Speaker 1: that movie when she's a child. Yeah, it's weird interview 713 00:49:27,680 --> 00:49:29,320 Speaker 1: with the vampire when she's like, I'm a kid, I 714 00:49:29,360 --> 00:49:31,080 Speaker 1: don't want to be a kid anymore. It's like, well, 715 00:49:31,120 --> 00:49:33,400 Speaker 1: guess what, you became a vampire when you were seven. 716 00:49:33,640 --> 00:49:39,239 Speaker 1: So now we're on Akira and Akira is Akira got 717 00:49:39,320 --> 00:49:43,719 Speaker 1: kind of the most hard to call detail right, and 718 00:49:43,760 --> 00:49:47,680 Speaker 1: that they predicted the Olympics would be in Tokyo, which 719 00:49:47,719 --> 00:49:49,480 Speaker 1: is pretty crazy. It was a movie that came out 720 00:49:49,520 --> 00:49:54,000 Speaker 1: in two or I guess it was the manga appeared 721 00:49:54,000 --> 00:49:56,719 Speaker 1: in two. I'd say, out of all the movies your name, 722 00:49:56,880 --> 00:49:59,840 Speaker 1: this is the best one. Yeah, well I saved it 723 00:49:59,880 --> 00:50:08,480 Speaker 1: for last. Doesn't have a killer teddy baronet? Yeah, don't 724 00:50:08,520 --> 00:50:15,239 Speaker 1: you remember that? Dope as fun? Man, I'm gonna watch 725 00:50:15,280 --> 00:50:18,960 Speaker 1: it when I go. But there's also like a you 726 00:50:18,960 --> 00:50:21,319 Speaker 1: need know what, there's probably some fucking piece of ship 727 00:50:21,480 --> 00:50:26,160 Speaker 1: all the ask producer, can you get that on VHS 728 00:50:26,200 --> 00:50:32,480 Speaker 1: for me? Piece old ship? Hack of what sounds dumb? 729 00:50:33,000 --> 00:50:38,600 Speaker 1: Let's but they also get the fact that the Olympics 730 00:50:38,719 --> 00:50:43,240 Speaker 1: is like a great way to justify your police state, correct, 731 00:50:43,320 --> 00:50:46,759 Speaker 1: which was a take that everybody on the internet was 732 00:50:46,840 --> 00:50:50,120 Speaker 1: making like around the two thousand and twelve Olympics, so 733 00:50:50,360 --> 00:50:53,440 Speaker 1: again ahead of their time. And yeah, those are the 734 00:50:53,480 --> 00:50:57,799 Speaker 1: movies that take place in So thank some of those 735 00:50:57,880 --> 00:51:01,440 Speaker 1: dystopias sound better than what we're going through, because at 736 00:51:01,520 --> 00:51:04,200 Speaker 1: least then you can like be mad at the dystopic 737 00:51:04,360 --> 00:51:07,560 Speaker 1: government that is like holding the people down via force, whereas, 738 00:51:08,200 --> 00:51:10,560 Speaker 1: like we talked about earlier, we're just all kind of 739 00:51:10,560 --> 00:51:14,799 Speaker 1: doing it to ourselves, which one as. I still like 740 00:51:14,880 --> 00:51:21,400 Speaker 1: the cute apps personally. So of the movies, oh, probably 741 00:51:23,440 --> 00:51:27,600 Speaker 1: probably the running Man running Man, Yeah, because well I've 742 00:51:27,600 --> 00:51:32,040 Speaker 1: only really seen a Cura, so I guess that. Okay, 743 00:51:32,520 --> 00:51:36,799 Speaker 1: what about you all? That day Breaker sounds pretty good. Yeah, yeah, 744 00:51:38,280 --> 00:51:40,200 Speaker 1: I mean you're just turned into a vampire. Vampires are 745 00:51:40,200 --> 00:51:43,080 Speaker 1: like sexy and stuff. All vampire movies are just sponsored 746 00:51:43,080 --> 00:51:51,279 Speaker 1: content content for cigarettes anyways, and sucking your own did 747 00:51:54,000 --> 00:52:02,920 Speaker 1: dick Breakers that's the that's my wrestling name Breaker, that's 748 00:52:02,920 --> 00:52:06,960 Speaker 1: a great wrestling man w w E. Speaking of w 749 00:52:06,960 --> 00:52:11,280 Speaker 1: w E, we have two sad passings that happened yesterday, 750 00:52:11,400 --> 00:52:13,880 Speaker 1: Me and Gene from the w w E the announcer, 751 00:52:14,400 --> 00:52:18,319 Speaker 1: and then Bob Einstein a K Super Dave ak Funk 752 00:52:18,360 --> 00:52:23,880 Speaker 1: Hewser from he was super day, Yeah, super Dave Osborne, Um, 753 00:52:23,920 --> 00:52:30,239 Speaker 1: so yeah, two greats that we're lost yesterday. Yeah, and 754 00:52:30,239 --> 00:52:34,719 Speaker 1: I said that sadness. That's such a great delivery. Don't 755 00:52:34,719 --> 00:52:41,600 Speaker 1: have emotion. You're right, I have a vampire. Well, Jenny, 756 00:52:41,640 --> 00:52:44,120 Speaker 1: it's been a plagure on having you. Is that how 757 00:52:44,160 --> 00:52:46,960 Speaker 1: I'm going out? That's how you're going And I'm not 758 00:52:46,960 --> 00:52:51,160 Speaker 1: going to let you say anything else. Now, what is where? 759 00:52:51,200 --> 00:52:53,239 Speaker 1: Where can people find you and follow you? Oh? You 760 00:52:53,280 --> 00:52:56,120 Speaker 1: can follow me on a Instagram at Jenny's a GREENO 761 00:52:56,440 --> 00:52:58,920 Speaker 1: J E N N y Z I g R I 762 00:52:59,120 --> 00:53:03,080 Speaker 1: N L. I don't use Twitter, so don't do that 763 00:53:03,600 --> 00:53:06,360 Speaker 1: doing your face losers. Yeah, and I'm slowly trying to 764 00:53:06,360 --> 00:53:09,720 Speaker 1: get rid of Facebook. Is there a piece of social 765 00:53:09,719 --> 00:53:12,400 Speaker 1: media or we usually ask people if there's a tweet 766 00:53:12,440 --> 00:53:15,359 Speaker 1: they've been enjoying. But since you just said that you 767 00:53:15,440 --> 00:53:18,439 Speaker 1: don't use Twitter, don't use Twitter? Is there anything you've 768 00:53:18,440 --> 00:53:21,600 Speaker 1: been enjoying? I love I just on Instagram. If I'm 769 00:53:21,640 --> 00:53:24,600 Speaker 1: feeling down, I'll just go to Chill Wildlife. Chill Wildlife. 770 00:53:24,640 --> 00:53:27,719 Speaker 1: You know there it's just fun videos of animals. That 771 00:53:27,760 --> 00:53:30,600 Speaker 1: sounds amazing. Yeah, that's that brings me so much joy 772 00:53:30,960 --> 00:53:34,200 Speaker 1: and chill wildlife. Yeah, check it out and then just 773 00:53:34,200 --> 00:53:39,440 Speaker 1: follow me please. Ever where can people find you? Um? 774 00:53:39,480 --> 00:53:42,799 Speaker 1: You can find me on all social media. I am 775 00:53:42,840 --> 00:53:45,080 Speaker 1: no longer on Snapchat, but maybe I'll get on there, 776 00:53:45,120 --> 00:53:47,080 Speaker 1: but old snap or sixty nine. I don't think anybody's 777 00:53:47,120 --> 00:53:49,239 Speaker 1: using it, but I wanted to say it on I 778 00:53:49,280 --> 00:53:52,800 Speaker 1: wanted to say it on air. Um, just ever mainard 779 00:53:53,000 --> 00:53:55,480 Speaker 1: d v E R m ai in r D at 780 00:53:55,680 --> 00:54:02,400 Speaker 1: Twitter and Instagram. There you've been enjoying? Well? Yes, um, 781 00:54:02,440 --> 00:54:05,799 Speaker 1: I actually really liked Miles this tweet. What was it? Uh, 782 00:54:06,360 --> 00:54:08,319 Speaker 1: I'm forgetting a word for word, but he used like 783 00:54:08,440 --> 00:54:11,400 Speaker 1: Japanese characters and he was like a translations like my 784 00:54:11,440 --> 00:54:15,400 Speaker 1: grandma said, I've gained weight because that reminded me of 785 00:54:15,440 --> 00:54:19,560 Speaker 1: like my grandmother. And also my favorite thing is you 786 00:54:19,600 --> 00:54:23,160 Speaker 1: know when you have a nemesis. Mm hmm, I'm right here. 787 00:54:24,800 --> 00:54:29,480 Speaker 1: Then you saw my tweetch Some of my favorite tweets 788 00:54:29,520 --> 00:54:35,440 Speaker 1: are just tweets, nothing in particular, but alright, anyways, well, 789 00:54:35,520 --> 00:54:39,840 Speaker 1: tweet I've been enjoying is Jason O. Gilbert tweeted Wow 790 00:54:39,920 --> 00:54:42,560 Speaker 1: brave op ed from Mitt Romney and it was a 791 00:54:42,560 --> 00:54:45,920 Speaker 1: fake headline that said Mitt Romney, Mr President, Sir, I'm 792 00:54:45,960 --> 00:54:48,160 Speaker 1: going to vote for every single one of your bills, 793 00:54:48,200 --> 00:54:51,719 Speaker 1: but I will be frowning. Can I go back to 794 00:54:52,719 --> 00:54:57,440 Speaker 1: Caleb Signin has that tweet I am sixteen going on seventeen, 795 00:54:58,280 --> 00:55:05,240 Speaker 1: and then it says Dash the at War, I'm sixteen, 796 00:55:09,040 --> 00:55:11,680 Speaker 1: but it's funny because it's true. Yeah, you know, it's 797 00:55:11,800 --> 00:55:17,400 Speaker 1: so sad but cute. Sad but cute, which is the 798 00:55:17,400 --> 00:55:21,680 Speaker 1: theme of today's episode and our dying world. You can 799 00:55:21,680 --> 00:55:23,600 Speaker 1: find me on Twitter at Jack Underscore Old Brian. You 800 00:55:23,640 --> 00:55:26,359 Speaker 1: can find us at Daily Zeitgeist. We're at the Daily 801 00:55:26,440 --> 00:55:28,799 Speaker 1: Zeitgeist on Instagram. We have a Facebook fan page and 802 00:55:28,840 --> 00:55:31,839 Speaker 1: a website Daily zigeist dot com where we post our 803 00:55:31,880 --> 00:55:34,640 Speaker 1: episodes and our footnotes where we link off to the 804 00:55:34,640 --> 00:55:36,799 Speaker 1: information that we talked about today's episode, as well as 805 00:55:36,880 --> 00:55:42,080 Speaker 1: the song we ride out on and Annah is playing 806 00:55:42,360 --> 00:55:47,880 Speaker 1: a airing on HI and we are joined by superproducer 807 00:55:48,000 --> 00:55:52,880 Speaker 1: on an Hey, how's your holiday? It was great? You 808 00:55:52,920 --> 00:55:59,520 Speaker 1: know whatever? Today I'm going to recommend Amber Mark. Maybe 809 00:55:59,520 --> 00:56:05,120 Speaker 1: you've heard of you of it? Um. I found out 810 00:56:05,200 --> 00:56:07,480 Speaker 1: from her about her from a way that I will 811 00:56:07,520 --> 00:56:10,680 Speaker 1: not talk about it because it upsets me. But um 812 00:56:11,080 --> 00:56:14,000 Speaker 1: start by, Yeah, that's Starbucks and I found a c D. 813 00:56:14,120 --> 00:56:16,840 Speaker 1: And now I can't go back there. Uh no, So 814 00:56:16,960 --> 00:56:20,000 Speaker 1: Amber Mark, this is her song Lose My Cool, but hey, 815 00:56:20,239 --> 00:56:22,680 Speaker 1: slow down. It's not just the regular lose My Cool. 816 00:56:22,760 --> 00:56:27,319 Speaker 1: It's the Frank Moody remix. It's popping you. I've heard 817 00:56:27,360 --> 00:56:30,120 Speaker 1: it like fifteen times that every urban outters I going to, 818 00:56:30,400 --> 00:56:33,960 Speaker 1: and that's where it was me. So I'll tell you 819 00:56:34,000 --> 00:56:36,799 Speaker 1: afterward how I found it. It's not it shouldn't be 820 00:56:36,800 --> 00:56:43,120 Speaker 1: public information. Wow, Now everybody wouldn't want to know it was. 821 00:56:43,280 --> 00:56:47,640 Speaker 1: I heard it while I was burdering. I was like, 822 00:56:49,640 --> 00:56:55,040 Speaker 1: what's this song? All right, well we're going to ride 823 00:56:55,120 --> 00:56:57,520 Speaker 1: out on that. We will be back tomorrow because it 824 00:56:57,719 --> 00:56:59,920 Speaker 1: is a daily podcast. We'll talk to you guys. That 825 00:57:00,680 --> 00:57:27,880 Speaker 1: my h M was so looking to stuck in my 826 00:57:31,320 --> 00:57:37,600 Speaker 1: dad was no way for me to get over it.