1 00:00:00,160 --> 00:00:02,720 Speaker 1: Hello the Internet, and welcome to season fourteen, episode three 2 00:00:02,720 --> 00:00:06,520 Speaker 1: of DOS Daily's Eight Guys for January eighteen, two thousand eighteen. 3 00:00:06,559 --> 00:00:09,480 Speaker 1: My name is Jack O'Brien a K jacks Cab Confession, 4 00:00:10,240 --> 00:00:12,920 Speaker 1: and I'm joined by my co host, Mr Miles Gray. 5 00:00:13,080 --> 00:00:15,240 Speaker 1: That's right, it's your boy, gray Z. Thank you to 6 00:00:15,320 --> 00:00:17,320 Speaker 1: Carl Slate for that a K. Did you just come 7 00:00:17,360 --> 00:00:23,600 Speaker 1: up with Jacksie cab confexis confections confection confessions yourself? I did? Yeah, 8 00:00:23,600 --> 00:00:26,920 Speaker 1: I give myself credit. Yeah, I saw that courtesy of 9 00:00:27,080 --> 00:00:31,840 Speaker 1: at Jack Underscore O'Brien. Yeah, and we are thrilled to 10 00:00:32,000 --> 00:00:36,280 Speaker 1: have in our third seat today. He is a hilarious 11 00:00:36,520 --> 00:00:40,760 Speaker 1: median and he is the co creator and star of 12 00:00:40,840 --> 00:00:48,200 Speaker 1: the new Comedy Central show Corporate. Please welcome Jake Weissman. Hey, Okay, guys, 13 00:00:48,280 --> 00:00:53,040 Speaker 1: Hey Jake Jakes Cat Confession Night. I was also named 14 00:00:53,040 --> 00:00:55,000 Speaker 1: after a Jack, so I think if he was a father, 15 00:00:55,880 --> 00:00:57,680 Speaker 1: where are you really named after? It was someone I've 16 00:00:57,680 --> 00:00:59,920 Speaker 1: never met. It with my dad's dad, But it doesn't matter. 17 00:00:59,920 --> 00:01:02,800 Speaker 1: I'll way to do that much. Yeah, perfectly, I appreciate that, 18 00:01:02,960 --> 00:01:06,240 Speaker 1: and that is appropriate. Jake. What's something from your search 19 00:01:06,319 --> 00:01:09,280 Speaker 1: history that is revealing that who you are a hunning. Well, 20 00:01:09,400 --> 00:01:11,200 Speaker 1: this is sad, and I didn't I don't know if 21 00:01:11,200 --> 00:01:13,240 Speaker 1: I wanted to admit it, but literally my own name. 22 00:01:13,319 --> 00:01:17,160 Speaker 1: And that's just because my most honest answer we've ever received, 23 00:01:17,319 --> 00:01:20,119 Speaker 1: just because I have the show came out and I 24 00:01:20,200 --> 00:01:23,600 Speaker 1: have been obsessively checking reviews, which is exactly what you 25 00:01:23,600 --> 00:01:26,760 Speaker 1: shouldn't do for your mental health. You definitely shouldn't admit 26 00:01:26,840 --> 00:01:29,880 Speaker 1: to it because it's so narcissistic, but everyone would and 27 00:01:29,920 --> 00:01:33,399 Speaker 1: everyone does. So it's just Jake Weisman refreshed, Jake Wisemanna refresh, 28 00:01:33,480 --> 00:01:36,920 Speaker 1: Jake weisen refreshed. And um, the only interesting really thing 29 00:01:36,959 --> 00:01:39,160 Speaker 1: about it is that there's another there's a few other 30 00:01:39,240 --> 00:01:41,840 Speaker 1: Jake Wiseman's, and I'm crushing them right now. And I 31 00:01:41,880 --> 00:01:44,280 Speaker 1: feel like I know that other Jake Weisman's are like 32 00:01:44,560 --> 00:01:49,280 Speaker 1: that guy like haunting them. I'm not taunting them, but 33 00:01:49,400 --> 00:01:51,720 Speaker 1: I want to do you have you have the Jake 34 00:01:51,720 --> 00:01:55,840 Speaker 1: Wiseman handle, right, No, I have Weisman Jake so and 35 00:01:55,840 --> 00:01:58,920 Speaker 1: and it's because another Jake Wiseman got it. But that's okay, 36 00:01:59,040 --> 00:02:01,320 Speaker 1: I mean, that's fine. I think sometimes they get tags 37 00:02:01,320 --> 00:02:03,480 Speaker 1: and stuff that's not them and They're very aware that 38 00:02:03,520 --> 00:02:05,640 Speaker 1: I'm winning. Yeah, I feel like you need to. You 39 00:02:05,680 --> 00:02:08,080 Speaker 1: need to win two things in life. One is be 40 00:02:08,160 --> 00:02:11,520 Speaker 1: the coolest of your name and second your high school reunion. 41 00:02:11,639 --> 00:02:13,440 Speaker 1: So I don't know what high school union, and I'm 42 00:02:13,440 --> 00:02:15,400 Speaker 1: working on it, but I'm definitely winning, Jake Weison. Right now, 43 00:02:15,960 --> 00:02:19,000 Speaker 1: I'm losing both of those. There's a great play director 44 00:02:19,200 --> 00:02:22,480 Speaker 1: named Jack O'Brien. Uh. I was on an NPR show 45 00:02:22,680 --> 00:02:27,000 Speaker 1: and the NPR host was like, oh, are you Jack's assistant. 46 00:02:27,480 --> 00:02:30,639 Speaker 1: I was like, oh, no, I am Jack. He was like, oh, 47 00:02:30,680 --> 00:02:35,000 Speaker 1: I thought you were Jack O'Brien, the theater director. It 48 00:02:35,200 --> 00:02:39,720 Speaker 1: was like visibly disappointed. Uh. For me. There's a club 49 00:02:39,760 --> 00:02:42,520 Speaker 1: promoter named Miles Gray who like went to college with 50 00:02:42,520 --> 00:02:44,520 Speaker 1: one of my high school friends, and he has that 51 00:02:44,639 --> 00:02:46,560 Speaker 1: he has the handle, so I had to come up 52 00:02:46,600 --> 00:02:48,799 Speaker 1: with a clever one. And then there's another guy who's 53 00:02:48,840 --> 00:02:50,600 Speaker 1: a friend of me on Facebook who lives in Australia. 54 00:02:50,639 --> 00:02:53,919 Speaker 1: He's like this middle aged dude and like his photos 55 00:02:53,960 --> 00:02:56,520 Speaker 1: are one is a baby drinking a beer, which I 56 00:02:56,560 --> 00:02:59,320 Speaker 1: think is like his own kid, and another is him 57 00:02:59,400 --> 00:03:03,200 Speaker 1: breastfeed a wallaby. So I don't know, it's a push 58 00:03:03,320 --> 00:03:07,240 Speaker 1: for me, okay, very Australian born to be a father. 59 00:03:07,919 --> 00:03:10,840 Speaker 1: You are losing giving life to so many things, Jake, 60 00:03:10,880 --> 00:03:15,320 Speaker 1: what's something you think is overrated? Three Billboards outside Ebbing, Missouri, 61 00:03:15,520 --> 00:03:18,280 Speaker 1: the film that won Best Picture at the Golden Globes. 62 00:03:18,760 --> 00:03:20,919 Speaker 1: I think it is a trash film. I think anyone 63 00:03:20,960 --> 00:03:23,839 Speaker 1: who likes it is under a spell. Akin to being 64 00:03:23,840 --> 00:03:29,200 Speaker 1: a scientologist. I think it's a terrible, racist, sexist, unfunny, uh, 65 00:03:29,360 --> 00:03:33,040 Speaker 1: not good at all movie, and that everyone is wrong 66 00:03:33,240 --> 00:03:37,160 Speaker 1: and they are sheep who like the movie. Um, you 67 00:03:37,200 --> 00:03:39,760 Speaker 1: cause a bit of quite a controversy, didn't you. I 68 00:03:39,840 --> 00:03:42,560 Speaker 1: did because my tweets about it got into the moments 69 00:03:42,560 --> 00:03:44,360 Speaker 1: tab on Twitter, and I got a lot of people 70 00:03:44,400 --> 00:03:47,000 Speaker 1: being like, I'm not a sheep and I like the movie. 71 00:03:47,120 --> 00:03:52,560 Speaker 1: I'm a human. Look it's me all the parts a 72 00:03:52,680 --> 00:03:56,240 Speaker 1: human has. I don't have furry skin. Uh yeah. I 73 00:03:56,280 --> 00:03:58,240 Speaker 1: just think it's a really bad movie. And um, in 74 00:03:58,280 --> 00:04:01,840 Speaker 1: the in the movie while watching it fifteen minutes and 75 00:04:01,840 --> 00:04:04,880 Speaker 1: I almost walked out because it was so stupid and 76 00:04:04,920 --> 00:04:07,760 Speaker 1: so pandering. But then like I saw a lot of 77 00:04:07,760 --> 00:04:11,080 Speaker 1: people clapping after a few speeches, and I was so up. 78 00:04:11,240 --> 00:04:13,360 Speaker 1: I was like, oh, this is gonna be something. These 79 00:04:13,400 --> 00:04:16,599 Speaker 1: are people think this is good, and I'm the only 80 00:04:16,640 --> 00:04:19,520 Speaker 1: one in the world who knows, because I don't know 81 00:04:19,520 --> 00:04:21,919 Speaker 1: how you guys feel about movies. But any movie I 82 00:04:21,960 --> 00:04:24,000 Speaker 1: think is good is good, and any movie I don't 83 00:04:24,000 --> 00:04:26,240 Speaker 1: think is good isn't. And that's just the rule, you 84 00:04:26,240 --> 00:04:28,680 Speaker 1: know what I mean, Like reality, it's called reality. So 85 00:04:28,680 --> 00:04:30,640 Speaker 1: that's how I feel about that movie. And I just 86 00:04:31,360 --> 00:04:34,120 Speaker 1: it's one of those movies like Crash and Crashes obviously 87 00:04:34,160 --> 00:04:37,800 Speaker 1: a garbage film and Dumpster five. History has been on 88 00:04:37,839 --> 00:04:40,520 Speaker 1: our side. Um, and Broke Back Mountain was up for 89 00:04:40,560 --> 00:04:42,200 Speaker 1: Best Picture of that year. It obviously should have one, 90 00:04:42,720 --> 00:04:46,160 Speaker 1: and uh, this year it has a chance. Three Billboards 91 00:04:46,160 --> 00:04:47,640 Speaker 1: has a chance to be the new Crash. I'm just 92 00:04:47,640 --> 00:04:49,560 Speaker 1: trying to warn as many people to not be on 93 00:04:49,560 --> 00:04:51,480 Speaker 1: the wrong side of history, because how embarrassing is it 94 00:04:51,520 --> 00:04:53,520 Speaker 1: to be, Like, Yeah, I actually liked Crash, and I 95 00:04:53,560 --> 00:04:59,720 Speaker 1: watched again and it was as if a toddler made it. Yeah, exactly, 96 00:04:59,760 --> 00:05:01,440 Speaker 1: so that time I feeling, but I haven't seen it 97 00:05:01,480 --> 00:05:05,320 Speaker 1: because precisely for this reason, because I remember, like initially, 98 00:05:05,360 --> 00:05:07,080 Speaker 1: my mom's in the h F p A and she 99 00:05:07,240 --> 00:05:10,920 Speaker 1: was like the hood forign Press who in the Golden Globes. God, yeah, 100 00:05:10,960 --> 00:05:12,880 Speaker 1: and she's an old she's an older woman, which is 101 00:05:12,960 --> 00:05:15,880 Speaker 1: kind of indicative of what that group of voters is, right. 102 00:05:16,279 --> 00:05:18,039 Speaker 1: And at first everyone's like, Oh, this movie is great, 103 00:05:18,040 --> 00:05:19,520 Speaker 1: This movie is great, And then I heard from a 104 00:05:19,520 --> 00:05:21,120 Speaker 1: lot of other people like, yo, this movie is not 105 00:05:21,200 --> 00:05:23,960 Speaker 1: fucking good. So it was so split that I was like, 106 00:05:24,240 --> 00:05:27,919 Speaker 1: I don't I sort of have been hesitating, but I 107 00:05:27,960 --> 00:05:30,240 Speaker 1: think it has an unfair advantage in the Golden Globes 108 00:05:30,279 --> 00:05:34,839 Speaker 1: because it's very specifically a foreign person's view of what 109 00:05:35,000 --> 00:05:41,480 Speaker 1: America outsider, like very unsubtle critique of like, you know, 110 00:05:41,600 --> 00:05:46,120 Speaker 1: how America works, And so I can see how people 111 00:05:46,160 --> 00:05:49,599 Speaker 1: who aren't from this country, who are you know, what's 112 00:05:49,640 --> 00:05:51,320 Speaker 1: the elevator pitch for this? Because I haven't seen I 113 00:05:51,360 --> 00:05:54,320 Speaker 1: just know it's about like a racist cop. Uh yeah? 114 00:05:54,520 --> 00:05:57,200 Speaker 1: Is that kind of the gist? Sort of? It's not 115 00:05:57,279 --> 00:05:59,679 Speaker 1: about anything. I mean, that's the problem is it thinks 116 00:05:59,680 --> 00:06:03,120 Speaker 1: it's saying these incredible things about race and life in 117 00:06:03,120 --> 00:06:05,920 Speaker 1: America and redemption and revenge, and it's not about anything. 118 00:06:05,960 --> 00:06:08,960 Speaker 1: It's just some guy who wants to be Quentin Tarantino 119 00:06:09,400 --> 00:06:11,680 Speaker 1: but can't pull it off. Not even that Tarantino can 120 00:06:12,000 --> 00:06:15,080 Speaker 1: Tarantino anymore? No? And everyone goes, have you seen in Bruge? 121 00:06:15,120 --> 00:06:19,520 Speaker 1: But I've seen Seven Psychopaths and it's pure garbage. It's 122 00:06:19,560 --> 00:06:21,800 Speaker 1: not good at all. But everyone's like seeing Bruge. But 123 00:06:22,080 --> 00:06:24,200 Speaker 1: I shouldn't have to see another movie of his to 124 00:06:24,360 --> 00:06:29,160 Speaker 1: like anything this film and it's just good. I've heard that. 125 00:06:29,200 --> 00:06:31,600 Speaker 1: But I'm now worried. I have a feeling people are 126 00:06:31,600 --> 00:06:33,640 Speaker 1: going to go back to in Bruge and be like, Okay, 127 00:06:33,640 --> 00:06:35,640 Speaker 1: I was wrong and I'm sorry. There's gonna be a 128 00:06:35,640 --> 00:06:39,240 Speaker 1: lot of in Bruge apologies. Yeah, uh well, I'm angry 129 00:06:39,440 --> 00:06:40,680 Speaker 1: now I'm gonna have to watch it based off that 130 00:06:40,720 --> 00:06:46,040 Speaker 1: fired up. You know, I have liked stuff that Martin 131 00:06:46,120 --> 00:06:48,239 Speaker 1: mcdonne has made in the past. Did you like this movie? 132 00:06:49,120 --> 00:06:52,200 Speaker 1: I didn't hate it as much as you did, but 133 00:06:52,560 --> 00:06:55,320 Speaker 1: I I see where you're coming from for sure. Thank you, 134 00:06:55,400 --> 00:06:59,520 Speaker 1: Jack puffing up his chest at you. What what's something 135 00:06:59,560 --> 00:07:02,840 Speaker 1: that's derrated? A bunch of things are underrated. I think 136 00:07:02,920 --> 00:07:05,799 Speaker 1: Veggie Grill is underrated. Um, here's why I think Veggie 137 00:07:05,800 --> 00:07:10,480 Speaker 1: Grill is underrated because it's a vegetarian place. Um, there's 138 00:07:10,520 --> 00:07:14,200 Speaker 1: this hack sort of response to vegetarians in society, it's like, oh, 139 00:07:14,320 --> 00:07:16,040 Speaker 1: you don't like meat, or were you better than me 140 00:07:16,160 --> 00:07:19,160 Speaker 1: your shoes or leather? Okay, And it's like, okay, first 141 00:07:19,160 --> 00:07:21,240 Speaker 1: of all, shut up, I'm trying the best I can. Um. 142 00:07:21,440 --> 00:07:24,960 Speaker 1: And most vegetarian places, especially in l A, are mostly 143 00:07:25,000 --> 00:07:28,520 Speaker 1: just populated by white people and just very annoying white 144 00:07:28,520 --> 00:07:30,480 Speaker 1: people on the East side of l A. And it's 145 00:07:30,520 --> 00:07:33,280 Speaker 1: like tempest soy, you know what I mean. But Veggie 146 00:07:33,320 --> 00:07:37,000 Speaker 1: Grill is multicultural and there's all sorts of uh there's 147 00:07:37,040 --> 00:07:39,880 Speaker 1: every race is in there and all sorts of people 148 00:07:40,320 --> 00:07:42,720 Speaker 1: and they're there for a vegetarian cause. And I think 149 00:07:42,720 --> 00:07:44,920 Speaker 1: that's good. Like, I think that's cool. It's like people 150 00:07:45,360 --> 00:07:48,440 Speaker 1: don't It's the only vegetarian place I've ever seen that 151 00:07:48,600 --> 00:07:51,760 Speaker 1: isn't like just homogeneous. And I think that that's like 152 00:07:51,800 --> 00:07:54,400 Speaker 1: a really wonderful thing. That's very true because it's accessible, 153 00:07:54,480 --> 00:07:56,960 Speaker 1: right because like places like Sage or the kinds of 154 00:07:56,960 --> 00:07:58,840 Speaker 1: places you're time on the East Side, which are like, 155 00:07:59,160 --> 00:08:01,120 Speaker 1: you know, you can't go in there and get fed 156 00:08:01,200 --> 00:08:04,000 Speaker 1: for like ten bucks. That's it's sort of it's not 157 00:08:04,040 --> 00:08:05,920 Speaker 1: easily accessible. Yeah, And it's funny because one of the times. 158 00:08:05,960 --> 00:08:08,000 Speaker 1: When in Veggie Girl, I was surprised at how many 159 00:08:08,040 --> 00:08:10,720 Speaker 1: like young kids, like Latino or black kids were in there, 160 00:08:10,720 --> 00:08:12,360 Speaker 1: and I was like what the fuck? Yeah, I was 161 00:08:12,400 --> 00:08:15,200 Speaker 1: like damn, because again all of my experiences with vegetarian 162 00:08:15,240 --> 00:08:17,840 Speaker 1: restaurants have been sort of these more hipstery a white 163 00:08:17,840 --> 00:08:20,600 Speaker 1: white wame places. It's like if people are like thinking 164 00:08:20,600 --> 00:08:23,600 Speaker 1: Buffalo Collie Flowers cool, I think one day we might 165 00:08:23,600 --> 00:08:25,320 Speaker 1: be able to have a good America. Like I just 166 00:08:25,360 --> 00:08:27,080 Speaker 1: think that that that's like a really like we can 167 00:08:27,120 --> 00:08:30,320 Speaker 1: be a little we have to make being humanist or 168 00:08:30,360 --> 00:08:33,960 Speaker 1: being like good um cool. And I think Veggie Girl 169 00:08:34,000 --> 00:08:35,280 Speaker 1: is doing a pretty good job. Doesn't make you a 170 00:08:35,320 --> 00:08:38,440 Speaker 1: whimp or what are you vegetarian or vegan? I'm pescterian, Okay, 171 00:08:39,080 --> 00:08:40,880 Speaker 1: I'm not an activist or anything. I think it's a 172 00:08:40,880 --> 00:08:42,880 Speaker 1: good thing to do if you can do it. But 173 00:08:43,080 --> 00:08:45,040 Speaker 1: I don't really give a ship. But Veggie Girl always 174 00:08:45,040 --> 00:08:46,920 Speaker 1: makes me feel good about being an American. I feel 175 00:08:46,960 --> 00:08:49,160 Speaker 1: like America has a chance when I'm there and the 176 00:08:49,160 --> 00:08:54,560 Speaker 1: Buffalo bomber Buffalo. Um. I also really like your movie 177 00:08:54,600 --> 00:08:58,000 Speaker 1: pick Here. Uh, that is one of mine as well. 178 00:08:58,200 --> 00:09:02,280 Speaker 1: Notting Hill Okay, so notting Hill, and it's underrated. Here's 179 00:09:02,280 --> 00:09:05,920 Speaker 1: why I'm not going to deny that it's stupid as fun, okay, 180 00:09:06,440 --> 00:09:08,840 Speaker 1: and I have watched it three thousand times and I 181 00:09:08,920 --> 00:09:14,320 Speaker 1: recently watched again in an airplane. It's it's cheesy, it's dumb. 182 00:09:15,040 --> 00:09:17,840 Speaker 1: But there's a line in it that is very First 183 00:09:17,880 --> 00:09:19,360 Speaker 1: of all, I just love it. And it's a it's 184 00:09:19,360 --> 00:09:21,920 Speaker 1: a romantic story. I really like it. I like how 185 00:09:21,920 --> 00:09:25,000 Speaker 1: it humanizes a famous person. There's a line. There's a 186 00:09:25,000 --> 00:09:27,880 Speaker 1: scene where all the people are going over why their 187 00:09:27,920 --> 00:09:30,920 Speaker 1: life has been the worst and and Julia Roberts plays 188 00:09:30,960 --> 00:09:34,800 Speaker 1: basically Julia Roberts in the movie, and she and everyone 189 00:09:34,840 --> 00:09:36,720 Speaker 1: else is a kind of a normal person, and they're 190 00:09:36,720 --> 00:09:38,600 Speaker 1: always talking about how bad their life was. And then 191 00:09:39,040 --> 00:09:40,440 Speaker 1: she's like, wait, don't I get a chance to talk 192 00:09:40,440 --> 00:09:42,280 Speaker 1: about how bad my life is. They're like yeah, right, 193 00:09:42,320 --> 00:09:44,320 Speaker 1: as if your life has been bad, And then she 194 00:09:44,480 --> 00:09:46,480 Speaker 1: has this speech about like, well, I've been in a 195 00:09:46,520 --> 00:09:49,480 Speaker 1: diet since I was nineteen. Every boyfriend has treated me bad, 196 00:09:49,600 --> 00:09:52,400 Speaker 1: someone abused me, like I'm in the public eye every 197 00:09:52,440 --> 00:09:54,320 Speaker 1: time I get my heartbroken. The press makes fun of it, 198 00:09:54,360 --> 00:09:56,199 Speaker 1: and she does, and I'm like, oh my god, actors 199 00:09:56,280 --> 00:09:58,720 Speaker 1: or people. And I think that's like a beautiful thing 200 00:09:58,840 --> 00:10:01,840 Speaker 1: to remember, is that actors or people, even though they aren't. 201 00:10:01,920 --> 00:10:03,960 Speaker 1: I think it's like a nice piece of movie magic. 202 00:10:04,040 --> 00:10:06,600 Speaker 1: And I don't care that it's kind of a dumb 203 00:10:06,640 --> 00:10:10,320 Speaker 1: movie and it's so white and annoying. But when she 204 00:10:10,400 --> 00:10:13,280 Speaker 1: goes just remember I'm just a girl standing in front 205 00:10:13,280 --> 00:10:16,240 Speaker 1: of a boy asking him to love her. It gets 206 00:10:16,280 --> 00:10:19,240 Speaker 1: me every time. And she's a great actress. Hugh Grant 207 00:10:19,320 --> 00:10:23,240 Speaker 1: is charming, and also Pete Pete Grant before before the 208 00:10:23,280 --> 00:10:27,640 Speaker 1: Divine Debacle, was this before after nine months before before? 209 00:10:27,679 --> 00:10:30,360 Speaker 1: And I believe it was before, but he was so charming. 210 00:10:30,400 --> 00:10:33,840 Speaker 1: And what it's interesting about the movie is it's purposely 211 00:10:33,960 --> 00:10:36,880 Speaker 1: trying to not be that funny so we can still 212 00:10:36,920 --> 00:10:39,120 Speaker 1: be accessible. Like the jokes they have in the movie 213 00:10:39,160 --> 00:10:42,400 Speaker 1: aren't very good, but I kind of liked it because 214 00:10:42,400 --> 00:10:45,600 Speaker 1: it's like it's trying to appeal to everyone, and I 215 00:10:45,600 --> 00:10:50,040 Speaker 1: admire that. Yeah, it's probably my favorite. Uh like straightforward Roman, 216 00:10:50,200 --> 00:10:53,880 Speaker 1: so straightforward. There's crappy music, but there's something about it. 217 00:10:53,920 --> 00:10:55,800 Speaker 1: I can't get away from it. It's like it's like 218 00:10:55,840 --> 00:10:59,880 Speaker 1: an X I keep getting back with. Yeah, all right, 219 00:11:00,080 --> 00:11:01,920 Speaker 1: let's get into format. Guys were trying to take a 220 00:11:01,920 --> 00:11:05,120 Speaker 1: sample of the ideas UH that are out there changing 221 00:11:05,160 --> 00:11:08,360 Speaker 1: the world the global shared consciousness right now today at 222 00:11:08,360 --> 00:11:10,360 Speaker 1: the moment that we record, and we like to open 223 00:11:10,480 --> 00:11:13,280 Speaker 1: up by asking our guest, what is a myth? What's 224 00:11:13,320 --> 00:11:17,000 Speaker 1: something that the global shared consciousness believes that you know 225 00:11:17,160 --> 00:11:20,800 Speaker 1: to be bullshit? Meditation does not work. Now, I know 226 00:11:20,880 --> 00:11:24,520 Speaker 1: that it does. I know that it does. I know 227 00:11:24,600 --> 00:11:26,520 Speaker 1: that it does. But I have a very and I 228 00:11:26,800 --> 00:11:31,960 Speaker 1: know I understand I'm a dark person. But anytime I meditate. 229 00:11:32,720 --> 00:11:35,040 Speaker 1: My extra friend used to get me to meditate. She's like, 230 00:11:35,080 --> 00:11:37,240 Speaker 1: you need to calm down, so we're gonna meditate. So 231 00:11:37,440 --> 00:11:40,400 Speaker 1: I meditated. Every time I meditated, I'd be really really 232 00:11:40,440 --> 00:11:44,480 Speaker 1: focused and have complete like confidence that I knew the 233 00:11:44,520 --> 00:11:47,079 Speaker 1: one truth, which is that I'm the worst person alive. 234 00:11:47,200 --> 00:11:49,960 Speaker 1: Like it was able to like block out everything except 235 00:11:50,000 --> 00:11:52,600 Speaker 1: for the negativity, so it like calmed everything down. But 236 00:11:52,640 --> 00:11:54,920 Speaker 1: then I was only left with terrible thoughts. I know 237 00:11:55,000 --> 00:11:57,840 Speaker 1: I'm the only one who will believe this, But meditation, 238 00:11:57,960 --> 00:11:59,760 Speaker 1: it has too much going for it that I don't 239 00:11:59,800 --> 00:12:02,600 Speaker 1: try it. It's like one of those comedians who always 240 00:12:02,640 --> 00:12:04,480 Speaker 1: plays like a nice person and then you find it 241 00:12:04,520 --> 00:12:06,760 Speaker 1: they're a monster later and they were just a sociopath. 242 00:12:07,000 --> 00:12:09,719 Speaker 1: That's what meditation is. What about all these places that 243 00:12:09,760 --> 00:12:12,680 Speaker 1: are opening up now, they're like meditation spots. That's why 244 00:12:12,679 --> 00:12:15,959 Speaker 1: you can't trust it. That's what it's like. Pinkberry. Yeah, 245 00:12:16,000 --> 00:12:19,160 Speaker 1: it's bullshit. R Pinkberry. Just give you diarrhea. It wasn't 246 00:12:19,200 --> 00:12:21,400 Speaker 1: even that good, but you have to say it's good, 247 00:12:21,559 --> 00:12:23,400 Speaker 1: and it's like gooding in touch with yourself. It's like 248 00:12:24,320 --> 00:12:27,600 Speaker 1: the owner like beat up a homeless guy of Pinkberry. Yeah, 249 00:12:29,360 --> 00:12:33,960 Speaker 1: because he meditated. That's how much. That's how much you're 250 00:12:34,080 --> 00:12:37,280 Speaker 1: right unconscious, I am better than them. And then he 251 00:12:37,360 --> 00:12:39,720 Speaker 1: just goes out and beats up a homeless guy. Let 252 00:12:39,760 --> 00:12:43,440 Speaker 1: me just make sure so I'm not slandering the owner. Yep, nope, yep. 253 00:12:43,559 --> 00:12:46,440 Speaker 1: Pinkberry co founder Young Lee jailed after beating man with 254 00:12:46,520 --> 00:12:49,880 Speaker 1: tire iron. Cool. It's weird, yeah, the tire and I 255 00:12:49,880 --> 00:12:52,560 Speaker 1: always forget that's available to me as a weapon, and 256 00:12:52,640 --> 00:12:54,839 Speaker 1: there's some people just remember that. Is it just in 257 00:12:55,280 --> 00:12:58,839 Speaker 1: the car in the boot of your car? I don't know. 258 00:12:59,720 --> 00:13:02,360 Speaker 1: I think tire irons are just you're supposed to like 259 00:13:02,440 --> 00:13:04,400 Speaker 1: keep them around, Yeah, because it's always part of that, 260 00:13:04,520 --> 00:13:07,200 Speaker 1: like a tire replacement kit with like your little jack 261 00:13:07,240 --> 00:13:09,840 Speaker 1: and usually the tire iron works is like the crank 262 00:13:09,880 --> 00:13:11,520 Speaker 1: for the jack. Anyway, Look, I've had to change a 263 00:13:11,520 --> 00:13:14,400 Speaker 1: lot of times. Yeah, I get all my opinions from 264 00:13:14,440 --> 00:13:16,600 Speaker 1: other people, and uh, I ready to get op ed 265 00:13:16,640 --> 00:13:18,920 Speaker 1: in the New York Times about how like mindful, this 266 00:13:18,960 --> 00:13:23,560 Speaker 1: whole mindfulness wave is just more of this generation of 267 00:13:23,640 --> 00:13:27,360 Speaker 1: people just going inward rather than like interacting with the 268 00:13:27,400 --> 00:13:29,880 Speaker 1: world around them. And it's a dangerous thing. And I 269 00:13:29,920 --> 00:13:33,679 Speaker 1: stopped meditating after I read that. Just everything gets corporatized immediately. 270 00:13:33,720 --> 00:13:35,400 Speaker 1: That's why I don't trust it. It's like this is 271 00:13:35,440 --> 00:13:38,480 Speaker 1: a new fad, but life isn't getting any better. Like 272 00:13:38,559 --> 00:13:41,720 Speaker 1: it's like it's it's like you're trying your best to 273 00:13:41,920 --> 00:13:44,400 Speaker 1: say that life is something that it isn't. Life is 274 00:13:44,440 --> 00:13:46,720 Speaker 1: a very challenging thing. No matter what, you're not gonna 275 00:13:46,880 --> 00:13:49,520 Speaker 1: reach enlightenment. And I have a huge problem with people 276 00:13:49,520 --> 00:13:51,480 Speaker 1: who are like, no, I can reach enlightenment if I 277 00:13:51,520 --> 00:13:54,240 Speaker 1: do a ayahuasca every single day and meditate seven times 278 00:13:54,240 --> 00:13:55,920 Speaker 1: a day. It's like I have a job. I don't 279 00:13:55,960 --> 00:13:58,880 Speaker 1: have any time to do this. Stuff. Um, But also 280 00:13:58,880 --> 00:14:00,520 Speaker 1: I don't want people to be happy than me, so 281 00:14:00,559 --> 00:14:02,160 Speaker 1: maybe that's why I'm trying to get them to stop. 282 00:14:02,800 --> 00:14:05,280 Speaker 1: I mean, I think going benefit is that people lack 283 00:14:05,320 --> 00:14:07,200 Speaker 1: self awareness, and I think that's one of the things 284 00:14:07,240 --> 00:14:09,760 Speaker 1: that I don't know if it's necessarily meditation, but pursuing 285 00:14:09,800 --> 00:14:12,760 Speaker 1: some kind of spiritual understanding of like yourself can help, 286 00:14:12,920 --> 00:14:15,120 Speaker 1: you know, mitigate your own stress a bit. But I 287 00:14:15,120 --> 00:14:17,720 Speaker 1: don't know if like necessarily like not saying anything for 288 00:14:17,800 --> 00:14:19,920 Speaker 1: ninety minutes every day and just like thinking away your 289 00:14:19,920 --> 00:14:22,400 Speaker 1: problems is the thing. It's like, learn how you process 290 00:14:22,440 --> 00:14:24,800 Speaker 1: the world and then if like it, it creates a 291 00:14:24,840 --> 00:14:26,760 Speaker 1: pattern that you react to and then now you can 292 00:14:26,800 --> 00:14:29,080 Speaker 1: start altering that. But yeah, I don't know. Simply just 293 00:14:29,120 --> 00:14:31,640 Speaker 1: like tossing in the mindfulness app and like sitting in 294 00:14:31,640 --> 00:14:35,200 Speaker 1: the dark, it seems it's just it's to suspect. To me, 295 00:14:35,400 --> 00:14:38,600 Speaker 1: it just seems like all the people who um do 296 00:14:39,160 --> 00:14:42,200 Speaker 1: meditation change their hair color five times a week, and 297 00:14:42,200 --> 00:14:44,520 Speaker 1: it's like this is not healthy, like something something is 298 00:14:44,560 --> 00:14:48,040 Speaker 1: not right here. Yeah, I'm a judgmental person. Yeah, I 299 00:14:48,080 --> 00:14:52,080 Speaker 1: mean I've become incredibly angry since I stopped meditating. But 300 00:14:52,120 --> 00:14:56,000 Speaker 1: that doesn't. I mean, that's probably unrelated. Uh, So let's 301 00:14:56,000 --> 00:14:58,440 Speaker 1: talk about the Last Jedi. We want to check back 302 00:14:58,480 --> 00:15:02,000 Speaker 1: in with the Last Jedi. Uh was a success in 303 00:15:02,040 --> 00:15:07,760 Speaker 1: the American box office, um, but internationally it kind of tanked. 304 00:15:07,800 --> 00:15:11,160 Speaker 1: It didn't do well in China, China specifically, like it's 305 00:15:11,240 --> 00:15:13,400 Speaker 1: it's it's pretty like it's been pulled from a few 306 00:15:13,440 --> 00:15:15,800 Speaker 1: theaters already because like they're like, hey, we can't even 307 00:15:15,840 --> 00:15:18,560 Speaker 1: sell fucking tickets, and they're projecting like it might only 308 00:15:18,600 --> 00:15:21,520 Speaker 1: make like fifty million dollars in China, which is crazy 309 00:15:21,600 --> 00:15:25,560 Speaker 1: considering like how big of a market that is for films. Uh, 310 00:15:25,600 --> 00:15:27,000 Speaker 1: and a lot of extorts don't like, you know, they're 311 00:15:27,000 --> 00:15:29,440 Speaker 1: looking at it there like it's probably because there's no 312 00:15:29,520 --> 00:15:32,360 Speaker 1: sort of like the entrenched cultural legacy of like Star 313 00:15:32,400 --> 00:15:34,960 Speaker 1: Wars that there isn't like English speaking countries, and also 314 00:15:35,000 --> 00:15:37,880 Speaker 1: the original trilogy wasn't released in China, so people were 315 00:15:37,920 --> 00:15:41,400 Speaker 1: like watching, uh The Force Awakens, they went out of 316 00:15:41,400 --> 00:15:44,200 Speaker 1: curiosity because the marketing was so insane, and I think 317 00:15:44,240 --> 00:15:45,800 Speaker 1: they're saying a lot of viewers at the end, we're 318 00:15:45,840 --> 00:15:48,880 Speaker 1: confused when Luke Skywalker shows up and there's like, who 319 00:15:48,920 --> 00:15:51,720 Speaker 1: the funk is this guy. And I think just for them, 320 00:15:51,720 --> 00:15:53,520 Speaker 1: they're like, this is just a confusing movie and we 321 00:15:53,520 --> 00:15:56,160 Speaker 1: don't know what's going on. So yeah, not doing so good. 322 00:15:56,360 --> 00:15:59,920 Speaker 1: It's interesting. Yeah, I mean, so this is a broader 323 00:16:00,080 --> 00:16:04,160 Speaker 1: trend that now people have to, like studios have to 324 00:16:04,240 --> 00:16:06,520 Speaker 1: take into account how things are going to play in 325 00:16:06,760 --> 00:16:10,960 Speaker 1: other countries. For example, Fate of the Furious, which was 326 00:16:11,240 --> 00:16:14,560 Speaker 1: you know, the eighth Fast and Furious movie, did very 327 00:16:14,600 --> 00:16:18,320 Speaker 1: well in America, made two twenty six million dollars in America. 328 00:16:18,760 --> 00:16:22,320 Speaker 1: It made three hundred ninety two million dollars in China. Um. 329 00:16:22,440 --> 00:16:25,520 Speaker 1: So that's the That's an example of a sequel movie 330 00:16:25,680 --> 00:16:28,320 Speaker 1: that is doing something right when it comes to the 331 00:16:28,400 --> 00:16:33,720 Speaker 1: Chinese audience and like sort of capturing that Chinese zeitgeist. Um. 332 00:16:33,760 --> 00:16:37,600 Speaker 1: But yeah, and I can kind of see how how 333 00:16:37,640 --> 00:16:40,200 Speaker 1: that would happen with the with Last Jedi. Do you 334 00:16:40,240 --> 00:16:43,400 Speaker 1: see Last Jedi? Jake, I've never seen any Star Wars. 335 00:16:43,560 --> 00:16:46,160 Speaker 1: That's fine. I have only seen the first thirty minutes 336 00:16:46,240 --> 00:16:48,520 Speaker 1: of episode four. I guess it is now. It became 337 00:16:48,560 --> 00:16:51,120 Speaker 1: episode four and I was bored and turned it off. 338 00:16:51,120 --> 00:16:52,640 Speaker 1: And now I just don't get to have a lot 339 00:16:52,680 --> 00:16:55,640 Speaker 1: of conversations. I could tell you immediately went inward and 340 00:16:55,680 --> 00:16:59,520 Speaker 1: I was like, is this dude, is he a spy 341 00:16:59,600 --> 00:17:04,000 Speaker 1: or Chinese people? One of these twople who's like, oh, shoot, no, 342 00:17:04,119 --> 00:17:06,119 Speaker 1: I've never seen it. I don't have anything against it. 343 00:17:06,160 --> 00:17:08,239 Speaker 1: I have a feeling I think it's too late for 344 00:17:08,280 --> 00:17:10,760 Speaker 1: me to get into because I feel like it it 345 00:17:10,800 --> 00:17:13,160 Speaker 1: doesn't have that childhood wonder for me. I've like seen 346 00:17:13,160 --> 00:17:16,919 Speaker 1: cooler special effects now. Um, I do think obviously. I mean, 347 00:17:16,960 --> 00:17:18,879 Speaker 1: this is my big issue with anyone as anyone who 348 00:17:18,920 --> 00:17:22,600 Speaker 1: makes Star Wars or Personality. You're sad, you should probably meditate. Um, 349 00:17:22,760 --> 00:17:26,159 Speaker 1: but they they do meditate, but I don't. I what 350 00:17:26,240 --> 00:17:31,639 Speaker 1: I what I was thinking about was movies are really complicated. 351 00:17:31,680 --> 00:17:34,320 Speaker 1: If you have to make it for a giant audience, 352 00:17:34,320 --> 00:17:36,840 Speaker 1: like that kind of movie, to relate to everyone, that's 353 00:17:36,880 --> 00:17:39,919 Speaker 1: not possible. You can't do that. Everyone's so different. Like 354 00:17:40,080 --> 00:17:43,440 Speaker 1: I working in TV, what is so wonderful is there's 355 00:17:43,440 --> 00:17:46,240 Speaker 1: so many TV shows. All you need is a niche audience. 356 00:17:46,320 --> 00:17:48,520 Speaker 1: You can be very specific. You just have to keep 357 00:17:48,840 --> 00:17:52,280 Speaker 1: those people interested. But for movies, they go so far 358 00:17:52,359 --> 00:17:54,760 Speaker 1: and so wide, there's no way everyone can like it. 359 00:17:54,800 --> 00:17:57,840 Speaker 1: But if everyone likes it, it probably sucks um and 360 00:17:57,960 --> 00:18:00,879 Speaker 1: so I think that that's incredibly frustra rating because then 361 00:18:00,920 --> 00:18:03,440 Speaker 1: I was thinking of like the writer's getting notes about 362 00:18:03,440 --> 00:18:05,680 Speaker 1: like you gotta make it a little more Chinese, you 363 00:18:05,720 --> 00:18:07,000 Speaker 1: know what I mean? And that's just like, what are 364 00:18:07,000 --> 00:18:10,720 Speaker 1: we talking about here? It's it's a yeah, yeah, And 365 00:18:10,760 --> 00:18:15,119 Speaker 1: I mean Last Jedi leans heavily on you know, plot 366 00:18:15,200 --> 00:18:17,640 Speaker 1: from the earlier movies, but I mean, so do all 367 00:18:17,720 --> 00:18:22,679 Speaker 1: sequels and other sequels have done way better. Yeah. I 368 00:18:22,720 --> 00:18:26,040 Speaker 1: just wonder if there's like some cultural thing, some cultural 369 00:18:26,080 --> 00:18:28,760 Speaker 1: aspect about it, because it's it's also got like this 370 00:18:28,920 --> 00:18:34,159 Speaker 1: whole religious metaphor thing that seems very specific. I don't know. 371 00:18:34,200 --> 00:18:35,840 Speaker 1: I just feel like if you look at Fast and Furious, 372 00:18:35,880 --> 00:18:37,840 Speaker 1: you could you could have never seen a Fast and 373 00:18:37,880 --> 00:18:39,760 Speaker 1: Furious movie and go see Fate of the Furious and 374 00:18:39,760 --> 00:18:43,240 Speaker 1: be like what the whoa whoa whoa like blown away 375 00:18:43,240 --> 00:18:45,600 Speaker 1: because it's so visuals just hangs on all the the 376 00:18:45,640 --> 00:18:49,080 Speaker 1: spectacle of it. Whereas with Star Wars, Yeah, if you 377 00:18:49,080 --> 00:18:51,520 Speaker 1: don't have any background information, you'reun be like, yo, this 378 00:18:51,560 --> 00:18:53,320 Speaker 1: movie is fucking whack, Like I don't know who the 379 00:18:53,320 --> 00:18:55,000 Speaker 1: funk this person is. I don't know what the funk 380 00:18:55,000 --> 00:18:57,960 Speaker 1: they're talking about. It's a you. It requires you to 381 00:18:58,000 --> 00:19:00,159 Speaker 1: have a little bit more information going into it, and 382 00:19:00,200 --> 00:19:02,439 Speaker 1: I think that could be as well. I'll tell you 383 00:19:02,520 --> 00:19:07,600 Speaker 1: what actually really translates in China, notting Hill, because then 384 00:19:07,600 --> 00:19:10,840 Speaker 1: the message of love, Um, even when it's impossible, is 385 00:19:11,000 --> 00:19:17,040 Speaker 1: that really relates country highest grossing films in China for 386 00:19:17,040 --> 00:19:19,399 Speaker 1: the first ten spots because there's so much money it's 387 00:19:19,400 --> 00:19:23,320 Speaker 1: spilled over. Um, all right, we're gonna take a quick break. 388 00:19:23,359 --> 00:19:35,160 Speaker 1: We will be right back, and we're back. Um, so 389 00:19:35,320 --> 00:19:38,880 Speaker 1: we wanted to check in with the world of Trump supporters. 390 00:19:38,960 --> 00:19:43,400 Speaker 1: I keep bumping into the fact that I live in 391 00:19:43,640 --> 00:19:50,800 Speaker 1: a different bubble than an entire portion of the US population. Um, 392 00:19:50,840 --> 00:19:55,080 Speaker 1: there's been the fake news Awards that Trump released I 393 00:19:55,160 --> 00:19:58,879 Speaker 1: think last night as a recording this and uh, people 394 00:19:58,920 --> 00:20:03,160 Speaker 1: were so eager to see the fake news Awards that 395 00:20:03,240 --> 00:20:08,320 Speaker 1: they crashed the website where they released them. Um. So yeah, 396 00:20:08,640 --> 00:20:12,320 Speaker 1: it's like their equivalent of Obamacare going live and being like, 397 00:20:12,400 --> 00:20:15,600 Speaker 1: now you can't have healthcare. Uh. It was underwhelmed me 398 00:20:15,760 --> 00:20:17,760 Speaker 1: a little bit. I'm surprised because it's just sort of 399 00:20:17,800 --> 00:20:20,959 Speaker 1: like stories that just had been retracted or edited for 400 00:20:20,960 --> 00:20:22,879 Speaker 1: like inaccuracies. I thought it was gonna be like and 401 00:20:22,880 --> 00:20:25,000 Speaker 1: this motherfucker is the worst and blah blah blah. It 402 00:20:25,080 --> 00:20:27,040 Speaker 1: was kind of like, Okay, well, yeah, it was just 403 00:20:27,920 --> 00:20:32,359 Speaker 1: a handful of stories that media outlets got wrong and 404 00:20:32,440 --> 00:20:35,959 Speaker 1: admitted they got wrong about the Trump administration. I've reached 405 00:20:36,000 --> 00:20:40,720 Speaker 1: a delirium about Trump to where it's so horrible that 406 00:20:40,920 --> 00:20:43,760 Speaker 1: I actually love it now, Like I like, I can't. 407 00:20:44,119 --> 00:20:46,600 Speaker 1: It's like my body is rejected. It was rejecting more 408 00:20:46,640 --> 00:20:50,040 Speaker 1: and turning you into laughs, like I literally I was. 409 00:20:50,320 --> 00:20:52,880 Speaker 1: I was sitting at jitlot of the other day, which 410 00:20:52,880 --> 00:20:54,919 Speaker 1: is a nice restaurant, great time to chill, and I 411 00:20:54,960 --> 00:20:59,840 Speaker 1: started reading an article about in North Korea and the 412 00:21:00,080 --> 00:21:03,000 Speaker 1: leaders calling each other like fat and stupid, and I 413 00:21:03,040 --> 00:21:06,679 Speaker 1: started crying from laughter that this is our reality and 414 00:21:06,720 --> 00:21:09,560 Speaker 1: the inevitability of it in America, that it would reach 415 00:21:09,640 --> 00:21:13,280 Speaker 1: this point. And I can't take it seriously because the 416 00:21:13,280 --> 00:21:15,800 Speaker 1: thing is every generation is narcissistic and thinks that their 417 00:21:15,800 --> 00:21:18,639 Speaker 1: generation will be the one that ends the world. And 418 00:21:18,680 --> 00:21:20,760 Speaker 1: I don't think that's going to happen with us. We 419 00:21:20,840 --> 00:21:23,440 Speaker 1: are definitely close, and we definitely could. I just don't 420 00:21:23,440 --> 00:21:26,520 Speaker 1: think it's gonna happen. But it is hilarious the things 421 00:21:26,560 --> 00:21:28,800 Speaker 1: we talk about every day and the way this super 422 00:21:28,840 --> 00:21:32,000 Speaker 1: insane narcissist has taken over all of our lives. He's 423 00:21:32,040 --> 00:21:34,159 Speaker 1: really good at what he does, and we can't do 424 00:21:34,200 --> 00:21:37,399 Speaker 1: anything about it. There's nothing to do because become so 425 00:21:37,440 --> 00:21:41,520 Speaker 1: bipartisan and nobody cares about people. Everyone wants to get rich, 426 00:21:42,000 --> 00:21:46,159 Speaker 1: and um, it's it's it's so horrible that it's the 427 00:21:46,200 --> 00:21:49,280 Speaker 1: funniest joke of all time. Truly, I cannot get to 428 00:21:49,320 --> 00:21:51,320 Speaker 1: a real place. So you think your existential dread has 429 00:21:51,359 --> 00:21:53,600 Speaker 1: just sort of like morphed into just like like like 430 00:21:53,680 --> 00:21:56,239 Speaker 1: I'm just gonna laugh myself. What else is there to do? 431 00:21:56,560 --> 00:21:59,159 Speaker 1: I mean, this is the worst person ever made is 432 00:21:59,200 --> 00:22:03,040 Speaker 1: in charge of the world. How is that not funny? Yeah? 433 00:22:03,119 --> 00:22:05,320 Speaker 1: I mean I think because we have to like read 434 00:22:05,320 --> 00:22:08,119 Speaker 1: about it every day. I don't. I've I've noticed that. 435 00:22:08,160 --> 00:22:12,440 Speaker 1: I in the beginning, I just fucking ball my fists something, 436 00:22:12,600 --> 00:22:14,399 Speaker 1: and now I'm just like, well, look, I have to 437 00:22:14,480 --> 00:22:16,680 Speaker 1: just observe what is happening in the world. I'm trying 438 00:22:16,720 --> 00:22:19,159 Speaker 1: to be removed from it and also optimistic that like 439 00:22:19,280 --> 00:22:21,880 Speaker 1: really the only thing that can try and curb this 440 00:22:22,000 --> 00:22:24,640 Speaker 1: is like the midterm elections and like you know, begin 441 00:22:24,720 --> 00:22:27,320 Speaker 1: to shift Congress. But you know, I think the system 442 00:22:27,400 --> 00:22:29,560 Speaker 1: is broken, and that's a whole other show that we 443 00:22:29,560 --> 00:22:32,760 Speaker 1: can get into. It is broken. And what's funny, it's 444 00:22:32,800 --> 00:22:35,119 Speaker 1: weird because you know, I wanted Hillary to win, but 445 00:22:35,200 --> 00:22:36,760 Speaker 1: even if a Hillary one still would have been a 446 00:22:36,760 --> 00:22:39,320 Speaker 1: broken system, no, no question about it. So it's sort 447 00:22:39,320 --> 00:22:41,680 Speaker 1: of like, maybe it's good that we're all getting aware 448 00:22:41,720 --> 00:22:45,560 Speaker 1: how broken it is, but it's also like, oh man, 449 00:22:45,560 --> 00:22:48,840 Speaker 1: we're just fucked. Just really fun. Go follow your dreams. 450 00:22:49,080 --> 00:22:51,120 Speaker 1: You know you might as well. Yeah, And I don't 451 00:22:51,119 --> 00:22:54,160 Speaker 1: know that. I mean, I think narcissism and the fact 452 00:22:54,240 --> 00:22:57,720 Speaker 1: that we elected our biggest narcissists at a point where 453 00:22:57,760 --> 00:23:01,520 Speaker 1: I think our culture is maybe the is narcissistic. It's 454 00:23:01,560 --> 00:23:04,560 Speaker 1: ever been with you know that social media was like 455 00:23:04,640 --> 00:23:08,080 Speaker 1: built to sort of echo chamber our narcissism and like 456 00:23:08,200 --> 00:23:12,639 Speaker 1: make narcissism the main value of like a culture, and 457 00:23:12,680 --> 00:23:15,760 Speaker 1: then we elected our biggest narcissists. But I don't feel 458 00:23:15,760 --> 00:23:18,679 Speaker 1: like that's a self correcting thing where we're gonna be like, oh, 459 00:23:18,720 --> 00:23:22,280 Speaker 1: so it's kind of our fault for valuing the stuff 460 00:23:22,280 --> 00:23:24,320 Speaker 1: that he's good at I think it's just we're going 461 00:23:24,359 --> 00:23:26,960 Speaker 1: to look at the institutions and be like they're they're 462 00:23:27,000 --> 00:23:29,680 Speaker 1: the ones that broke, not not us. Yea, yeah, it's 463 00:23:29,680 --> 00:23:33,760 Speaker 1: like x mockia, we've built the robot that will destroy us. Um. 464 00:23:34,200 --> 00:23:40,520 Speaker 1: The other spoiler, uh, the other thing that The other 465 00:23:40,520 --> 00:23:44,840 Speaker 1: place I've been running into Trump supporters, uh, other than 466 00:23:44,840 --> 00:23:48,159 Speaker 1: in my Twitter mentions is New York Times Letters to 467 00:23:48,200 --> 00:23:52,879 Speaker 1: the editor. They just uh withheld their opinion pieces for 468 00:23:52,920 --> 00:23:56,480 Speaker 1: a whole day and gave us letters from Trump supporters 469 00:23:56,520 --> 00:24:00,119 Speaker 1: who are happy with the way the first year of 470 00:24:00,240 --> 00:24:04,800 Speaker 1: his administration went um, and reading the first one was 471 00:24:04,840 --> 00:24:07,520 Speaker 1: somewhat enlightening. I was like, Okay, I can see where 472 00:24:07,600 --> 00:24:10,679 Speaker 1: that one's coming from. And then it was like reading 473 00:24:10,720 --> 00:24:14,960 Speaker 1: the same letter over and over again, the same four points, 474 00:24:15,000 --> 00:24:19,160 Speaker 1: which I guess is maybe a result of their being 475 00:24:19,359 --> 00:24:25,280 Speaker 1: for possible ways to view the past year. But if 476 00:24:25,280 --> 00:24:27,440 Speaker 1: you think about like the RNC or the White House, 477 00:24:27,480 --> 00:24:29,880 Speaker 1: like these are the exact same hooks that they're trying 478 00:24:29,880 --> 00:24:31,960 Speaker 1: to hang their hat on. So when you're getting that, 479 00:24:32,240 --> 00:24:34,560 Speaker 1: you're getting just sort of inundated with that message where 480 00:24:34,560 --> 00:24:37,960 Speaker 1: they're from conservative media, then I guess it's no surprise 481 00:24:38,080 --> 00:24:41,400 Speaker 1: that that's what they talk about. So it's the economy, isis. 482 00:24:41,840 --> 00:24:44,640 Speaker 1: I mean that's basically it, right, that's most like defeated 483 00:24:44,640 --> 00:24:50,200 Speaker 1: ices or the tax right tax cuts, which is the economy, which, um, 484 00:24:50,280 --> 00:24:53,720 Speaker 1: you know, both of them are two different extents taking 485 00:24:53,720 --> 00:24:58,959 Speaker 1: credit for things that were already happening under the Obama administration. Uh, 486 00:24:59,080 --> 00:25:01,800 Speaker 1: the economy, sir, only as part of a continuing trend. 487 00:25:02,240 --> 00:25:06,680 Speaker 1: And isis you know, the they really didn't reverse course 488 00:25:06,800 --> 00:25:10,600 Speaker 1: or change anything about how the U. S. Military was 489 00:25:10,640 --> 00:25:14,440 Speaker 1: attacking Isis they just kind of continued and the result 490 00:25:14,560 --> 00:25:17,560 Speaker 1: of the bombardment was that isis lost a lot of 491 00:25:17,600 --> 00:25:23,000 Speaker 1: their land. Uh, but you know, good things. But I mean, y, yeah, 492 00:25:23,040 --> 00:25:25,359 Speaker 1: that did happen, So I can't can't really you know, 493 00:25:25,440 --> 00:25:27,840 Speaker 1: fault him for that. But also then I guess the 494 00:25:27,840 --> 00:25:29,680 Speaker 1: other thing too, is they also point all the court 495 00:25:29,760 --> 00:25:31,840 Speaker 1: nominations like, oh we have you know, like people like 496 00:25:31,880 --> 00:25:34,919 Speaker 1: Neil Gorsch in the Supreme Court and these other district 497 00:25:34,960 --> 00:25:39,400 Speaker 1: court appointees. Yeah, I mean, those are things that happened. 498 00:25:39,400 --> 00:25:42,800 Speaker 1: But like I have a feeling that over time you're 499 00:25:42,800 --> 00:25:44,439 Speaker 1: gonna look back at some of these appointees and like 500 00:25:44,720 --> 00:25:47,760 Speaker 1: these are these are not good. Well, yeah, they were 501 00:25:47,800 --> 00:25:53,240 Speaker 1: describing the appointees as strong judicial appointees, which is crazy 502 00:25:53,359 --> 00:25:57,360 Speaker 1: because they saw some of those nominees unanimously ranked by 503 00:25:57,400 --> 00:26:01,880 Speaker 1: bipartisan you know commissions as like the least qualified UH 504 00:26:02,040 --> 00:26:05,159 Speaker 1: nominees of all time. I do think it's important to 505 00:26:05,240 --> 00:26:08,160 Speaker 1: just try to take the positives about what Trump is doing, 506 00:26:08,280 --> 00:26:10,360 Speaker 1: not in anything he's doing, but how he's doing it. 507 00:26:10,640 --> 00:26:12,760 Speaker 1: It's like, if you want to accomplish something, just first 508 00:26:12,760 --> 00:26:15,639 Speaker 1: of all, be rich, but also keep saying that what 509 00:26:15,680 --> 00:26:19,240 Speaker 1: you're doing is good, no matter if people are like no, 510 00:26:19,359 --> 00:26:22,040 Speaker 1: it's obviously not be like no, it is Roger straight, 511 00:26:22,080 --> 00:26:24,399 Speaker 1: I'm great. Someone will believe you because people are afraid 512 00:26:24,440 --> 00:26:26,280 Speaker 1: to be leaders. And if you say you're a leader, 513 00:26:26,320 --> 00:26:28,600 Speaker 1: eventually they're gonna let you run something and if you 514 00:26:28,640 --> 00:26:31,680 Speaker 1: want to. Because I think what's interesting about what's going 515 00:26:31,720 --> 00:26:34,119 Speaker 1: on right now is like we want to live in 516 00:26:34,119 --> 00:26:37,200 Speaker 1: this socialist utopia, but we don't and we never will 517 00:26:37,400 --> 00:26:40,240 Speaker 1: because people are people and so and there's just this 518 00:26:40,359 --> 00:26:43,919 Speaker 1: like complete sort of um inaccuracy to the idea that 519 00:26:43,960 --> 00:26:46,800 Speaker 1: people even want to quality Like people don't they're not 520 00:26:46,840 --> 00:26:49,560 Speaker 1: taught well enough. We have no there's too many competing 521 00:26:49,880 --> 00:26:53,920 Speaker 1: um industries of thought and it's capitalism is too rugged 522 00:26:54,119 --> 00:26:56,680 Speaker 1: I think for that ever to be that great. And 523 00:26:56,760 --> 00:26:59,679 Speaker 1: I think right now he's like, listen, you have to 524 00:26:59,720 --> 00:27:02,560 Speaker 1: go grab power. I'm doing it illegally. It works, and 525 00:27:02,600 --> 00:27:04,840 Speaker 1: I think it should just inspire to go out and 526 00:27:04,880 --> 00:27:07,919 Speaker 1: go after stuff. And that's a terrible opinion, but I 527 00:27:07,960 --> 00:27:11,960 Speaker 1: think it's right. Great caveat it that. But not all 528 00:27:12,000 --> 00:27:16,120 Speaker 1: the letters were totally like sunshine and rainbows. I mean, 529 00:27:16,200 --> 00:27:21,400 Speaker 1: I think they specifically focused on Trump supporters who were 530 00:27:21,440 --> 00:27:24,639 Speaker 1: happy with us first year, and then they are going 531 00:27:24,680 --> 00:27:28,440 Speaker 1: to or have already published some from people who are 532 00:27:28,560 --> 00:27:32,680 Speaker 1: less thrilled about how how things have gone, um, people 533 00:27:32,680 --> 00:27:36,040 Speaker 1: who voted for him. And then we also saw, you know, 534 00:27:36,200 --> 00:27:40,480 Speaker 1: in some town halls that we talked about on yesterday's show, uh, 535 00:27:40,560 --> 00:27:46,000 Speaker 1: in counties that voted that Trump won by you know, 536 00:27:46,480 --> 00:27:51,120 Speaker 1: the people at the town halls were not too pleased 537 00:27:51,320 --> 00:27:56,560 Speaker 1: with how how things were going. Um. And another, you know, 538 00:27:56,680 --> 00:28:00,200 Speaker 1: kind of going with the economy thing, there's a big 539 00:28:00,240 --> 00:28:03,960 Speaker 1: news story that Apple and Trump have sort of won 540 00:28:04,000 --> 00:28:08,600 Speaker 1: the day with because of the tax reform, Apple is 541 00:28:08,680 --> 00:28:10,760 Speaker 1: now going to bring all this money that they were 542 00:28:11,320 --> 00:28:17,080 Speaker 1: you know, hiding from Americans, uh, in offshore accounts bringing 543 00:28:17,080 --> 00:28:19,920 Speaker 1: it back, and you know, America is going to get 544 00:28:20,359 --> 00:28:26,359 Speaker 1: billions of dollars and spending sillions and billions of dollars 545 00:28:26,400 --> 00:28:30,000 Speaker 1: and spending. I think the number that they keep quoting 546 00:28:30,359 --> 00:28:36,960 Speaker 1: is what billion dollars Apple has pledged to spend over 547 00:28:37,000 --> 00:28:42,480 Speaker 1: the next five years, um, which sounds that sounds like 548 00:28:42,520 --> 00:28:45,120 Speaker 1: a lot of money. Uh, but if you look at 549 00:28:45,240 --> 00:28:49,160 Speaker 1: what they were on course to spend before any of 550 00:28:49,200 --> 00:28:51,640 Speaker 1: the tax cuts happened, it would have been two D 551 00:28:51,840 --> 00:28:55,640 Speaker 1: seventy five billions. So it's not you know, we're talking 552 00:28:55,680 --> 00:29:01,240 Speaker 1: about an incremental seventy billion. Still good Um, But yeah, 553 00:29:01,360 --> 00:29:04,880 Speaker 1: I mean it's like focusing on a very small part 554 00:29:04,880 --> 00:29:09,120 Speaker 1: of the picture. Uh. Still I don't know. I guess 555 00:29:09,160 --> 00:29:12,160 Speaker 1: I guess it's good that they're bringing the money back. 556 00:29:13,040 --> 00:29:16,000 Speaker 1: I mean yeah, I don't know it Like, like, what 557 00:29:16,000 --> 00:29:18,760 Speaker 1: what are we That's a problem. The problem with Trump 558 00:29:18,760 --> 00:29:21,800 Speaker 1: talking about fake news is that now I'm like, is 559 00:29:21,920 --> 00:29:24,320 Speaker 1: news fake? Not the news he's talking about, but like 560 00:29:24,400 --> 00:29:27,440 Speaker 1: what what is even anyone talking about? It seems like 561 00:29:27,480 --> 00:29:29,920 Speaker 1: every reporter has a spin, even this, which is seems 562 00:29:29,960 --> 00:29:32,000 Speaker 1: like a fact. It's like, I don't know, I don't 563 00:29:32,000 --> 00:29:34,680 Speaker 1: know what we're talking about, Like, Okay, it's gonna be 564 00:29:34,720 --> 00:29:38,240 Speaker 1: spent in this country because the thing is like dollars 565 00:29:38,320 --> 00:29:41,480 Speaker 1: sounds like a lot of money, but is it you know, like, 566 00:29:41,520 --> 00:29:44,320 Speaker 1: I don't know will that help anyone? Who is that helping? 567 00:29:44,640 --> 00:29:46,720 Speaker 1: I have no idea. Well, that's what economists are saying, 568 00:29:46,800 --> 00:29:49,560 Speaker 1: is like, sure you can say that, but even econmots 569 00:29:49,560 --> 00:29:51,680 Speaker 1: who are like experts in this like that, it's hard 570 00:29:51,720 --> 00:29:53,840 Speaker 1: to say that's going to have any like tangible effect 571 00:29:53,880 --> 00:29:55,880 Speaker 1: on the day to day lit it's just a number, 572 00:29:56,280 --> 00:29:58,520 Speaker 1: like but it's they can say a number and it 573 00:29:58,680 --> 00:30:02,040 Speaker 1: sounds big, but you're like, but what does that actually mean? Right? 574 00:30:02,200 --> 00:30:04,800 Speaker 1: I have no idea what that means? Right, And that 575 00:30:05,560 --> 00:30:08,320 Speaker 1: money is like one part of the picture, and then 576 00:30:08,320 --> 00:30:11,560 Speaker 1: if you look over at a different place, it's adding 577 00:30:12,000 --> 00:30:15,560 Speaker 1: you know, billions and billions of dollars to the deficit, 578 00:30:15,680 --> 00:30:18,560 Speaker 1: which I know even less what that means. Uh, Like 579 00:30:18,640 --> 00:30:22,240 Speaker 1: I know that that means that the government is spending 580 00:30:22,280 --> 00:30:25,800 Speaker 1: money that they don't have, but you know what's going 581 00:30:25,880 --> 00:30:29,520 Speaker 1: to happen, Like what what's the eventual time when that 582 00:30:29,600 --> 00:30:32,280 Speaker 1: comes due? And how are we going to pay for it? 583 00:30:32,320 --> 00:30:35,000 Speaker 1: If it ever does come to we're just gonna be 584 00:30:35,040 --> 00:30:36,720 Speaker 1: like the dude who goes to the restaurant with no 585 00:30:36,840 --> 00:30:45,040 Speaker 1: cash and the check comes and then you goes, uh yeah, 586 00:30:45,080 --> 00:30:48,680 Speaker 1: that that's how Miles handles most of our lunches I do. 587 00:30:48,840 --> 00:30:51,160 Speaker 1: I'm always like, I got this guy's y'all go outside 588 00:30:51,480 --> 00:30:53,600 Speaker 1: and uh let me let me do my cry thing. 589 00:30:53,960 --> 00:30:57,720 Speaker 1: So a lot of people are speculating that the place 590 00:30:57,760 --> 00:31:00,520 Speaker 1: that that money comes from, and usually has in the past, 591 00:31:00,800 --> 00:31:05,240 Speaker 1: is you know, once your deficit becomes uh too big 592 00:31:05,360 --> 00:31:08,040 Speaker 1: and you have to start paying it back, then they 593 00:31:08,040 --> 00:31:11,080 Speaker 1: start taking away entitlements, and entitlements are just you know, 594 00:31:11,160 --> 00:31:13,840 Speaker 1: the government helping poor people for the most part. Now 595 00:31:13,880 --> 00:31:17,920 Speaker 1: they're enabling lazy assholes. Man. Even the word entitlement, it's 596 00:31:17,960 --> 00:31:22,400 Speaker 1: just so upset. That's like you think you're entitled to 597 00:31:22,560 --> 00:31:26,200 Speaker 1: live like a basic human wood or just um the 598 00:31:26,240 --> 00:31:29,880 Speaker 1: way that they call the way Trump calls um rich 599 00:31:30,040 --> 00:31:33,720 Speaker 1: black people they need to be grateful. It's very similar. 600 00:31:33,760 --> 00:31:37,440 Speaker 1: It's like, you're lucky, we're giving you anything. You feel entitled. 601 00:31:37,440 --> 00:31:40,520 Speaker 1: This this is our country. We were pilgrims, you weren't, 602 00:31:40,600 --> 00:31:43,840 Speaker 1: you know. It's so weird and coded and not even 603 00:31:44,040 --> 00:31:49,600 Speaker 1: coded it's just entitlement. It sounds like a father chastising 604 00:31:49,640 --> 00:31:54,760 Speaker 1: a child, you know, for wanting their allowance. It really does. Um. 605 00:31:54,840 --> 00:32:00,600 Speaker 1: So elsewhere in Washington, Uh, there might be a government 606 00:32:00,600 --> 00:32:04,960 Speaker 1: shutdown and this is all tied up in this is 607 00:32:05,080 --> 00:32:11,160 Speaker 1: sort of how people interact with Trump. Uh so what 608 00:32:11,280 --> 00:32:15,680 Speaker 1: one of the big details is immigration that uh nobody 609 00:32:15,720 --> 00:32:20,760 Speaker 1: can quite agree on in DACA. And John Kelly, Trump's 610 00:32:20,840 --> 00:32:28,120 Speaker 1: chief of staff, just said that he basically evolved Trump's 611 00:32:28,160 --> 00:32:31,320 Speaker 1: thinking on the border wall and he probably did and 612 00:32:31,360 --> 00:32:34,800 Speaker 1: he probably did, uh and also talked about how it 613 00:32:34,920 --> 00:32:38,280 Speaker 1: was his idea to give DOCCA like the six months 614 00:32:38,360 --> 00:32:41,239 Speaker 1: to allow Congress to fix it, rather than just like 615 00:32:41,320 --> 00:32:44,560 Speaker 1: saying DOCCA is over, like Ice is coming for you. 616 00:32:44,640 --> 00:32:50,480 Speaker 1: Motherfucker's uh and sadly right. So he's taken credit for that, 617 00:32:50,680 --> 00:32:55,760 Speaker 1: And this is like textbook how not to deal with Trump. Like, 618 00:32:55,840 --> 00:33:00,280 Speaker 1: for whatever reason, the people who work for Trump have 619 00:33:00,440 --> 00:33:04,960 Speaker 1: not learned that you don't ever ever take credit for, 620 00:33:05,400 --> 00:33:08,600 Speaker 1: you know, telling him what to do, because then he 621 00:33:08,680 --> 00:33:14,000 Speaker 1: immediately reacts badly. And our engineer and producer Nick Stump 622 00:33:14,200 --> 00:33:17,240 Speaker 1: kind of put together an outline of just how this 623 00:33:17,320 --> 00:33:22,760 Speaker 1: has worked with regards to DACA. So in September, Trump 624 00:33:22,800 --> 00:33:28,160 Speaker 1: has this dinner with Chuck and Nancy that's supposedly very cordial, 625 00:33:28,520 --> 00:33:31,840 Speaker 1: and they outline a deal on DOCCA. Uh, no border 626 00:33:31,840 --> 00:33:35,960 Speaker 1: walls included. Everybody's happy. They take like photo ops and 627 00:33:36,160 --> 00:33:40,840 Speaker 1: there's just mutual love everywhere. And then you know, Chuck 628 00:33:40,960 --> 00:33:44,680 Speaker 1: and Nancy, Chuck Schumer and Nancy Pelosi sort of crip 629 00:33:44,720 --> 00:33:47,920 Speaker 1: walk out of the office and are just like celebrating 630 00:33:48,000 --> 00:33:51,320 Speaker 1: for the cameras, and uh, Trump is like fun that 631 00:33:51,520 --> 00:33:54,640 Speaker 1: the deal's off. I didn't agree to anything. Uh. Then 632 00:33:55,560 --> 00:34:00,480 Speaker 1: more recently, uh, Diane Feinstein like owns Trump in this 633 00:34:00,560 --> 00:34:02,760 Speaker 1: January nine meeting in front of the the press, gets him 634 00:34:02,800 --> 00:34:07,440 Speaker 1: to agree to a clean DOCCA bill. Uh. January the 635 00:34:07,480 --> 00:34:10,920 Speaker 1: media sort of crowded and made fun of him. Uh. 636 00:34:10,960 --> 00:34:13,919 Speaker 1: And then January eleven, Trump is just fully dug in 637 00:34:14,239 --> 00:34:19,239 Speaker 1: on this like hardline garbage position where you know, he 638 00:34:19,440 --> 00:34:23,480 Speaker 1: starts talking about ship hole countries. Uh. And now we 639 00:34:23,640 --> 00:34:27,360 Speaker 1: have John Kelly sort of taking a victory lap about 640 00:34:27,440 --> 00:34:31,680 Speaker 1: how he influenced Trump on immigration issues and says the 641 00:34:31,719 --> 00:34:36,040 Speaker 1: six month DOCTA extension was something he ordered. And you know, 642 00:34:36,200 --> 00:34:38,839 Speaker 1: on on the wall he says, quote certain things are 643 00:34:38,880 --> 00:34:43,919 Speaker 1: said during the campaign that are uninformed. Uh yeah, so 644 00:34:44,560 --> 00:34:47,640 Speaker 1: that ship is like he's not going to be happy 645 00:34:47,680 --> 00:34:51,000 Speaker 1: about that. And that's and we're already seeing that Trump 646 00:34:51,040 --> 00:34:55,279 Speaker 1: has like is basically shit canning this bill that was 647 00:34:55,360 --> 00:34:58,840 Speaker 1: going to sort of extend things and uh, you know, 648 00:34:58,960 --> 00:35:02,000 Speaker 1: avoid a government shutdown, right, Like there wasn't there some 649 00:35:02,080 --> 00:35:06,919 Speaker 1: sort of bill to extend it seems like uh, Dick 650 00:35:07,000 --> 00:35:10,680 Speaker 1: Durban and Lindsey Graham had come to like a bipartisan 651 00:35:10,719 --> 00:35:13,280 Speaker 1: solution of things. And that's when like ship just started 652 00:35:13,320 --> 00:35:16,000 Speaker 1: falling apart and the two like it's become a moving 653 00:35:16,040 --> 00:35:18,839 Speaker 1: target to even know what Trump wants anymore, Like how 654 00:35:18,840 --> 00:35:21,160 Speaker 1: to how to solve this, Like do we avoid the 655 00:35:21,160 --> 00:35:25,279 Speaker 1: shutdown with uh just like a limited spending bill but 656 00:35:25,360 --> 00:35:28,360 Speaker 1: also add CHIP funding to get Democrats on board. The 657 00:35:28,400 --> 00:35:32,080 Speaker 1: problem is for the child health insurance program. So yeah, 658 00:35:32,120 --> 00:35:35,520 Speaker 1: basically the I think in October the Republicans just like 659 00:35:36,000 --> 00:35:38,400 Speaker 1: we we just let CHIP funding laps. So there are 660 00:35:38,400 --> 00:35:40,040 Speaker 1: a lot of kids who rely on the government for 661 00:35:40,080 --> 00:35:43,359 Speaker 1: health insurance, Like these funds are drying up rapidly, and 662 00:35:43,440 --> 00:35:45,920 Speaker 1: now they'll be very vulnerable children who don't have access 663 00:35:45,960 --> 00:35:48,040 Speaker 1: to healthcare that they need. Um, and this seems like 664 00:35:48,040 --> 00:35:50,399 Speaker 1: a very easy thing to agree on. It's like, we want, 665 00:35:50,520 --> 00:35:53,360 Speaker 1: you know, poor kids to be able to have insurance 666 00:35:53,440 --> 00:35:56,600 Speaker 1: or access to healthcare. But it's become like this bargaining 667 00:35:56,640 --> 00:35:58,880 Speaker 1: tool and now like it's become the same game of 668 00:35:58,960 --> 00:36:02,200 Speaker 1: chicken between the Publicans and Democrats of like who's gonna 669 00:36:02,239 --> 00:36:04,640 Speaker 1: blink and let the government shut down or not pass it, 670 00:36:04,719 --> 00:36:09,239 Speaker 1: you know, avoid a government shutdown. And it's ultimately looks 671 00:36:09,239 --> 00:36:11,520 Speaker 1: like the Democrats are digging in. They're like, look, you 672 00:36:11,920 --> 00:36:14,920 Speaker 1: have the Senate, you have the House, and you have 673 00:36:14,960 --> 00:36:17,360 Speaker 1: the White House, so I don't tell us we're obstructing 674 00:36:17,400 --> 00:36:19,799 Speaker 1: it because you know, this is clearly you have a 675 00:36:19,840 --> 00:36:22,040 Speaker 1: ton of infighting on your side of things that you 676 00:36:22,040 --> 00:36:24,120 Speaker 1: haven't started out. And we're here trying to say like 677 00:36:24,160 --> 00:36:26,200 Speaker 1: we want you know, we want CHIP, we want CHIP 678 00:36:26,200 --> 00:36:28,799 Speaker 1: funding UH paid in full, and we also want to 679 00:36:28,800 --> 00:36:32,239 Speaker 1: clean Dream Act, so we don't want kids to die, 680 00:36:32,600 --> 00:36:36,040 Speaker 1: and we want people who have lived most of their 681 00:36:36,080 --> 00:36:39,000 Speaker 1: life in America to not be deported to countries and 682 00:36:39,040 --> 00:36:40,799 Speaker 1: people who are contributing to the country too. And I 683 00:36:40,800 --> 00:36:43,240 Speaker 1: think it's crazy too, because now you know, they're trying 684 00:36:43,280 --> 00:36:46,560 Speaker 1: to act like these kids aren't you know, worthwhile people 685 00:36:46,600 --> 00:36:50,239 Speaker 1: contributing to American society And that's completely false, right, But 686 00:36:50,320 --> 00:36:53,440 Speaker 1: because Trump feels like people are not giving him this 687 00:36:53,560 --> 00:36:57,719 Speaker 1: proper respect, he's kind of stopped stopped that bill from 688 00:36:57,760 --> 00:37:01,480 Speaker 1: going through, is basically gumming up the works. But also 689 00:37:01,520 --> 00:37:03,960 Speaker 1: it's no surprise that after John Kelly is like I evolved, 690 00:37:04,040 --> 00:37:06,719 Speaker 1: the President's like peace there his position on it that 691 00:37:06,880 --> 00:37:09,560 Speaker 1: this morning he's like, oh no, my vision of the 692 00:37:09,560 --> 00:37:12,840 Speaker 1: boarder has never changed or evolved, so you shouldn't know. 693 00:37:12,960 --> 00:37:15,000 Speaker 1: But it would love to live with that kind of 694 00:37:15,000 --> 00:37:17,400 Speaker 1: blind self confidence. I mean, that's all all these stories 695 00:37:17,440 --> 00:37:19,120 Speaker 1: come back to the same thing. For me. It's like 696 00:37:19,360 --> 00:37:21,600 Speaker 1: he can just say something and then later say that 697 00:37:22,040 --> 00:37:24,640 Speaker 1: I didn't say that thing. I always said this thing, 698 00:37:24,920 --> 00:37:28,359 Speaker 1: and enough people believe him, and it's like, it's just 699 00:37:28,560 --> 00:37:31,040 Speaker 1: that's what I'm You have to take the positives out 700 00:37:31,040 --> 00:37:34,200 Speaker 1: of horrible situations. And all I'm doing is learning how 701 00:37:34,239 --> 00:37:36,840 Speaker 1: to be And uh, I wish I won't hope I 702 00:37:36,880 --> 00:37:38,880 Speaker 1: maintained being a good person, but it's nice to know 703 00:37:38,960 --> 00:37:41,080 Speaker 1: that if I'm a bad person who consistently lies, it 704 00:37:41,120 --> 00:37:43,839 Speaker 1: doesn't matter. Right, It's a good take away. It's really good. 705 00:37:44,080 --> 00:37:45,759 Speaker 1: I mean it would be fun, Like the evil part 706 00:37:45,760 --> 00:37:47,799 Speaker 1: of me just think of like if you if the 707 00:37:47,840 --> 00:37:50,359 Speaker 1: stakes weren't so high, like the kind of mind games 708 00:37:50,360 --> 00:37:51,960 Speaker 1: you'd play with Trump to get him do the stuff 709 00:37:52,000 --> 00:37:53,960 Speaker 1: you wanted, and just like funk with other people, like dude, 710 00:37:54,000 --> 00:37:56,080 Speaker 1: watch I'm gonna get this ship done, and just go 711 00:37:56,120 --> 00:37:57,400 Speaker 1: in there and be like, dude, that was such a 712 00:37:57,440 --> 00:38:00,839 Speaker 1: good idea, man, and then get him to like very 713 00:38:00,880 --> 00:38:03,560 Speaker 1: basic stuff like how you deal with the difficult bosses. 714 00:38:03,719 --> 00:38:06,279 Speaker 1: You get them to think that a good idea was 715 00:38:06,320 --> 00:38:09,080 Speaker 1: their idea, and you compliment the ship out of them 716 00:38:09,080 --> 00:38:12,759 Speaker 1: about having come up with that idea. Um, corporate is 717 00:38:12,800 --> 00:38:17,360 Speaker 1: actually really good at just uh, you know, portraying how 718 00:38:17,640 --> 00:38:21,840 Speaker 1: bullshit corporate culture works and how bosses will take credit 719 00:38:21,920 --> 00:38:25,280 Speaker 1: for everything, and uh, how did you guys get into 720 00:38:25,280 --> 00:38:27,120 Speaker 1: I'm sure you've been asked this a million times and 721 00:38:27,160 --> 00:38:31,000 Speaker 1: I think I saw you asked this on uh the 722 00:38:31,040 --> 00:38:33,880 Speaker 1: seth Meyer Show, But like, all right, how did you 723 00:38:33,880 --> 00:38:37,520 Speaker 1: guys like sort of get into that mind frame of 724 00:38:37,520 --> 00:38:42,520 Speaker 1: of just asshole corporate leadership. Well, Matt, who was in 725 00:38:42,560 --> 00:38:44,720 Speaker 1: the show with me, had worked a few corporate jobs, 726 00:38:44,719 --> 00:38:47,000 Speaker 1: but I've just worked jobs all jobs of the same 727 00:38:47,160 --> 00:38:49,560 Speaker 1: human beings. Aren't that complex? You know? You kind of 728 00:38:49,560 --> 00:38:52,520 Speaker 1: see it everywhere. Yeah, ship rolls downhill. Everyone's terrified. And 729 00:38:52,560 --> 00:38:55,120 Speaker 1: then also when we were writing the show, we called 730 00:38:55,120 --> 00:38:57,520 Speaker 1: people from Amazon and Google. We had some friends of 731 00:38:57,560 --> 00:38:59,680 Speaker 1: friends who worked there, and we asked them what it 732 00:38:59,719 --> 00:39:01,640 Speaker 1: was lie and they're like, no, it's everything you suspect. 733 00:39:02,200 --> 00:39:06,680 Speaker 1: It's just corporate warfare. It's a nightmare. Everyone's out, everyone's scared, 734 00:39:06,760 --> 00:39:10,600 Speaker 1: acting out of fear, and they're trained to be They're 735 00:39:10,600 --> 00:39:13,240 Speaker 1: like cult members. I feel like every corporation is a cult, 736 00:39:13,640 --> 00:39:16,759 Speaker 1: and so then they become monsters and hurt the new 737 00:39:16,920 --> 00:39:20,759 Speaker 1: initiated cult members and whip them into existence. So yeah, 738 00:39:20,760 --> 00:39:23,640 Speaker 1: it's just it's more just human nature, I think, which 739 00:39:23,680 --> 00:39:25,960 Speaker 1: is why I want to live in a socialist paradise, 740 00:39:26,000 --> 00:39:28,080 Speaker 1: but we like we can't because we live in this 741 00:39:28,200 --> 00:39:32,680 Speaker 1: capitalist nightmare that is just like it truly benefits the 742 00:39:32,719 --> 00:39:36,279 Speaker 1: most evil people most of the time. Right, Trump's personality 743 00:39:36,320 --> 00:39:40,759 Speaker 1: defects are like the Konami code for capitalism. If I 744 00:39:40,760 --> 00:39:43,960 Speaker 1: didn't up up, down, down, left, right left, right, if 745 00:39:44,000 --> 00:39:48,439 Speaker 1: I didn't, if I felt less empathy, I would be rich. 746 00:39:48,800 --> 00:39:52,840 Speaker 1: And that's so sad because like rich is what's rewarded 747 00:39:52,920 --> 00:39:56,880 Speaker 1: in today's society. So you're prized for your lack of 748 00:39:56,920 --> 00:39:59,560 Speaker 1: empathy And that's a good joke except that it's real. 749 00:40:00,360 --> 00:40:02,640 Speaker 1: Do you have any idea how popular this podcast would 750 00:40:02,640 --> 00:40:10,880 Speaker 1: be if we were like men's rights active, ud, toxic, masculated, Like, 751 00:40:10,920 --> 00:40:14,239 Speaker 1: I don't see the problem with all this fucking just 752 00:40:14,440 --> 00:40:18,160 Speaker 1: me to ship man, It's like fucking relax, Um, what 753 00:40:18,280 --> 00:40:22,920 Speaker 1: about me too? Yeah? Um? This is kind of a 754 00:40:22,960 --> 00:40:28,160 Speaker 1: great insight into how the people around Trump are sort 755 00:40:28,200 --> 00:40:31,960 Speaker 1: of learning about how to deal with him. Uh. Lindsay 756 00:40:32,040 --> 00:40:37,200 Speaker 1: Graham was asked if Trump was racist, and his response 757 00:40:37,400 --> 00:40:39,960 Speaker 1: was pretty telling. I think I think we have the 758 00:40:40,480 --> 00:40:42,400 Speaker 1: clip of that. Why don't you ask me? Is he 759 00:40:42,480 --> 00:40:45,279 Speaker 1: a racist? That was my next question? Okay, why don't 760 00:40:45,320 --> 00:40:48,440 Speaker 1: you ask me? Do you think? Absolutely not? Let me 761 00:40:48,480 --> 00:40:51,680 Speaker 1: tell you what you could be and dark as charcoal 762 00:40:51,760 --> 00:40:54,399 Speaker 1: and lily white. It doesn't matter as long as you're 763 00:40:54,440 --> 00:40:58,200 Speaker 1: nice to it. You could be the pope and criticize him. 764 00:40:58,239 --> 00:41:01,000 Speaker 1: It doesn't matter. He'll go after the pope. You could 765 00:41:01,040 --> 00:41:03,640 Speaker 1: be putin and say nice things and he will like you. 766 00:41:04,239 --> 00:41:07,160 Speaker 1: Here's what I found. He's a street fighter. That's not 767 00:41:07,239 --> 00:41:09,239 Speaker 1: the color of your skin that matters. It's not the 768 00:41:09,239 --> 00:41:11,919 Speaker 1: content of your character is whether or not you show 769 00:41:12,000 --> 00:41:15,319 Speaker 1: him respect and like him. And if he feels like 770 00:41:16,120 --> 00:41:19,840 Speaker 1: you're all script you don't like him, he punches back, 771 00:41:20,000 --> 00:41:22,000 Speaker 1: and as president of the United States, the only advice 772 00:41:22,080 --> 00:41:24,680 Speaker 1: I can give you is that the street fights over 773 00:41:25,800 --> 00:41:30,040 Speaker 1: he mentioned, he goes he's such a bad person. Lindsay 774 00:41:30,040 --> 00:41:32,600 Speaker 1: Graham's a bad person because he's like pretending to be 775 00:41:32,680 --> 00:41:36,520 Speaker 1: kind of liberal, but it's deeply conservative, like when he 776 00:41:36,560 --> 00:41:40,600 Speaker 1: says woke ship. Yeah, you're talking about that. Also, why 777 00:41:40,600 --> 00:41:43,160 Speaker 1: are they asking a white person if he's racist? It's 778 00:41:43,200 --> 00:41:46,680 Speaker 1: so stupid. Yeah, he's a street fighter. Man, which one 779 00:41:46,719 --> 00:41:49,120 Speaker 1: do you think he is? I think he's Blanca or 780 00:41:50,760 --> 00:41:53,680 Speaker 1: maybe Guile. Actually guile makes more sense at all. Yeah, 781 00:41:53,840 --> 00:41:56,719 Speaker 1: but did he think that was like defense? I don't 782 00:41:56,760 --> 00:41:59,759 Speaker 1: know what it was like, partly to defense on what 783 00:42:00,080 --> 00:42:03,040 Speaker 1: he fights against anyone calling him out is not racist 784 00:42:03,160 --> 00:42:05,839 Speaker 1: because he fights against anyone calling him out, even though 785 00:42:05,880 --> 00:42:08,120 Speaker 1: most people calling him out are not white. Right, what 786 00:42:08,120 --> 00:42:10,560 Speaker 1: are we talking about? That's the funny thing about, Like 787 00:42:11,120 --> 00:42:14,040 Speaker 1: you don't get to say you're not racist, Like if 788 00:42:14,040 --> 00:42:16,640 Speaker 1: people are calling you racist, you're racist. That's like it 789 00:42:16,640 --> 00:42:18,839 Speaker 1: has nothing to do with what you think you are. 790 00:42:20,239 --> 00:42:22,240 Speaker 1: But I mean, like the better version of that answer 791 00:42:22,280 --> 00:42:25,960 Speaker 1: would have been like, look, yes he's racist, but also 792 00:42:26,040 --> 00:42:28,880 Speaker 1: here's the thing, even if you're black, he will like 793 00:42:28,960 --> 00:42:31,000 Speaker 1: you if you just kiss his ass, So like there's 794 00:42:31,040 --> 00:42:33,520 Speaker 1: a way to bypass his racism if you're just a 795 00:42:33,520 --> 00:42:37,000 Speaker 1: sick fan like, which I think is what he was 796 00:42:37,000 --> 00:42:40,239 Speaker 1: trying to say without like, you know, sort of rep 797 00:42:40,480 --> 00:42:43,319 Speaker 1: like having repulsive effect on his his base of like 798 00:42:43,360 --> 00:42:45,400 Speaker 1: Republican people who don't want to hear anyone in the 799 00:42:45,440 --> 00:42:47,960 Speaker 1: GP call him racist. So he's like, no, he's not, 800 00:42:48,040 --> 00:42:49,879 Speaker 1: but let me say this other ship that is kind 801 00:42:49,920 --> 00:42:52,319 Speaker 1: of fucked up about his ego but not full you know, 802 00:42:52,440 --> 00:42:54,120 Speaker 1: not a full throat of being like you think what 803 00:42:54,160 --> 00:42:56,880 Speaker 1: he was saying is basically yes, but I want to 804 00:42:56,920 --> 00:42:59,879 Speaker 1: keep getting the kickbacks I get as a senator, So no, yeah, 805 00:43:00,080 --> 00:43:01,800 Speaker 1: like he's a piece of ship. And then there was 806 00:43:01,840 --> 00:43:04,719 Speaker 1: an implicit threat against the media there at the end, 807 00:43:04,840 --> 00:43:07,960 Speaker 1: like you're working with the president who will destroy you 808 00:43:08,120 --> 00:43:10,959 Speaker 1: and like wants to destroy you, so stop saying things 809 00:43:11,000 --> 00:43:14,040 Speaker 1: he doesn't like was essentially I think, like what when 810 00:43:14,080 --> 00:43:16,560 Speaker 1: he was like the street fight is over, and he's 811 00:43:16,640 --> 00:43:18,799 Speaker 1: the president. I thought he was saying that he doesn't 812 00:43:18,840 --> 00:43:23,120 Speaker 1: have to that street fight mentality is no longer needed. 813 00:43:23,400 --> 00:43:26,839 Speaker 1: Look only speaking outdated nineties video, and that's how I 814 00:43:26,880 --> 00:43:31,280 Speaker 1: was pretty impressed. Yeah, thank you. All right, we're gonna 815 00:43:31,320 --> 00:43:43,560 Speaker 1: take a quick break. We'll be right back. And we're back. Yes, 816 00:43:43,640 --> 00:43:46,719 Speaker 1: we're back. And you know me, I'm all about a 817 00:43:46,760 --> 00:43:50,560 Speaker 1: big proponent of cannabis, adult use, medical use, and otherwise. 818 00:43:50,960 --> 00:43:53,680 Speaker 1: Uh and Prop sixty four in California did a great thing, right, 819 00:43:53,719 --> 00:43:58,840 Speaker 1: It created uh a legal adult use marijuana recreational. We 820 00:43:58,880 --> 00:44:02,600 Speaker 1: basically made recreational legal here. But another great part of Prop. 821 00:44:02,680 --> 00:44:05,920 Speaker 1: Sixty four is that it also allows anyone basically to 822 00:44:06,040 --> 00:44:11,120 Speaker 1: have their past marijuana related offenses crimes reduced or exponged completely, 823 00:44:11,400 --> 00:44:14,399 Speaker 1: which is wild because they're saying, like, look, weed is legal, 824 00:44:14,440 --> 00:44:16,560 Speaker 1: and I guess now that we know that you shouldn't 825 00:44:16,600 --> 00:44:19,560 Speaker 1: have to be completely punished for any kind of crimes 826 00:44:19,680 --> 00:44:22,759 Speaker 1: that you committed in regards to possession, especially because a 827 00:44:22,760 --> 00:44:25,680 Speaker 1: lot of people got like felony possession for weed and 828 00:44:25,800 --> 00:44:28,440 Speaker 1: can't get jobs, can't get loans and things like that. 829 00:44:28,480 --> 00:44:31,880 Speaker 1: So this is like a very great opportunity for for 830 00:44:32,000 --> 00:44:34,480 Speaker 1: you know, society sort of change these kinds of things 831 00:44:34,880 --> 00:44:37,000 Speaker 1: and allow people to kind of start over a new 832 00:44:37,320 --> 00:44:42,040 Speaker 1: especially because like African Americans California were five times is 833 00:44:42,040 --> 00:44:45,239 Speaker 1: likely to get arrested for a marijuana felony the white offenders, 834 00:44:45,480 --> 00:44:50,320 Speaker 1: So these constraints disproportionately affected them. And now we're showing like, hey, 835 00:44:50,360 --> 00:44:52,120 Speaker 1: this is part of the new the new era. We 836 00:44:52,160 --> 00:44:54,480 Speaker 1: also believe that you shouldn't ruin your life because of 837 00:44:54,640 --> 00:44:58,440 Speaker 1: some you're you're holding some wheat. And how many people 838 00:44:58,680 --> 00:45:01,920 Speaker 1: are eligible for this? I think nearly like a million 839 00:45:01,960 --> 00:45:05,480 Speaker 1: people or something. It's pretty it's pretty, Uh, it's I 840 00:45:05,520 --> 00:45:09,200 Speaker 1: think it's roughly one million Californians are are eligible. According 841 00:45:09,200 --> 00:45:12,960 Speaker 1: to the Drug Policy Alliance, there is nothing more stupid 842 00:45:13,000 --> 00:45:17,319 Speaker 1: than the fact that weed was illegal, like alcohol is legal, Like, 843 00:45:17,400 --> 00:45:20,520 Speaker 1: are you fucking kidding me? I think we should ban alcohol. 844 00:45:20,600 --> 00:45:22,640 Speaker 1: I don't like anyone who drinks a lot. Obviously, you 845 00:45:22,640 --> 00:45:24,320 Speaker 1: shouldn't ban anything. You should let people do whatever the 846 00:45:24,320 --> 00:45:25,799 Speaker 1: funk they want and funk up their lives and do 847 00:45:25,840 --> 00:45:28,040 Speaker 1: whatever deal with anxiety the way they want. But what 848 00:45:28,080 --> 00:45:31,920 Speaker 1: are we talking about here? Like if anything, like we 849 00:45:32,120 --> 00:45:36,440 Speaker 1: just increases the economy of like Amazon, downloads and like 850 00:45:36,440 --> 00:45:38,640 Speaker 1: like food delivery like it. It's just like it's just 851 00:45:38,719 --> 00:45:42,640 Speaker 1: good for the economy and who cares? Like, But also 852 00:45:43,320 --> 00:45:45,680 Speaker 1: I feel like just the idea that drugs are illegal 853 00:45:45,719 --> 00:45:48,319 Speaker 1: is just part of this puritanical myth that life has 854 00:45:48,360 --> 00:45:51,680 Speaker 1: to be this utopia um or people are always like 855 00:45:51,719 --> 00:45:56,960 Speaker 1: struggling to um They're struggling to accept that life is 856 00:45:57,000 --> 00:45:58,759 Speaker 1: not the utopia they wanted to be, whether it's like 857 00:45:58,880 --> 00:46:02,560 Speaker 1: socialist or religious, like Christian or something like that. It's 858 00:46:02,600 --> 00:46:06,560 Speaker 1: just so offensive and horrible that people won't talk about 859 00:46:06,920 --> 00:46:09,759 Speaker 1: what adulthood actually is, which is very painful. And we 860 00:46:09,840 --> 00:46:14,600 Speaker 1: need drugs be real, right, So yeah, I mean it's 861 00:46:14,640 --> 00:46:18,000 Speaker 1: good to know that you know that people are thinking 862 00:46:18,040 --> 00:46:20,800 Speaker 1: about this too, because it could have just as easily 863 00:46:20,840 --> 00:46:24,000 Speaker 1: been like hey, weed as legal and not a thought 864 00:46:24,040 --> 00:46:25,759 Speaker 1: about like, well, hey, if weed is legal, what about 865 00:46:25,840 --> 00:46:28,520 Speaker 1: these people that are in jail or like have completely 866 00:46:28,560 --> 00:46:30,680 Speaker 1: had their lives fucked over because they can't they have 867 00:46:30,760 --> 00:46:32,200 Speaker 1: to be like, hey, were you ever convicted of a 868 00:46:32,200 --> 00:46:34,400 Speaker 1: felony in a job? Were like, yeah, it's so stupid. 869 00:46:34,400 --> 00:46:36,719 Speaker 1: It's like in Germany, like if people had felonies for 870 00:46:36,800 --> 00:46:38,560 Speaker 1: being Jewish. You know what, I mean, it's like, what 871 00:46:38,640 --> 00:46:40,799 Speaker 1: are we talking about here, Like, of course you should 872 00:46:40,840 --> 00:46:42,960 Speaker 1: expunge it. This should never have been a crime. We 873 00:46:43,000 --> 00:46:45,759 Speaker 1: made a mistake because we're scared of the truth. So 874 00:46:45,840 --> 00:46:48,279 Speaker 1: this is us. Yeah, it's it's the government or at 875 00:46:48,360 --> 00:46:51,239 Speaker 1: least the state of California making good on that. And 876 00:46:51,760 --> 00:46:55,759 Speaker 1: are there law firms that are going to or you know, 877 00:46:55,880 --> 00:47:00,279 Speaker 1: funds or charities that people can look into. I don't, 878 00:47:00,280 --> 00:47:02,360 Speaker 1: I don't know. We we don't have that information, I 879 00:47:02,360 --> 00:47:04,719 Speaker 1: guess right now. But yeah, I'm I'm hoping somebody is 880 00:47:04,760 --> 00:47:09,879 Speaker 1: like dedicating themselves to just helping people get uh their 881 00:47:09,920 --> 00:47:13,840 Speaker 1: marijuana related offenses reduced or expunged, because yeah, well I 882 00:47:13,880 --> 00:47:15,840 Speaker 1: think that's sort of the next step is making sure 883 00:47:15,920 --> 00:47:19,480 Speaker 1: that you know, public defenders offices and legal a providers 884 00:47:19,520 --> 00:47:21,759 Speaker 1: can like actually talk tell people that's like, hey, just 885 00:47:21,800 --> 00:47:24,000 Speaker 1: so you know, like I'm looking through the records. I heard, Yes, 886 00:47:24,120 --> 00:47:26,920 Speaker 1: I got a felony like possession thing. You can actually 887 00:47:26,960 --> 00:47:30,400 Speaker 1: petition to get this changed. Yeah, like an innocence project 888 00:47:30,520 --> 00:47:35,719 Speaker 1: for people who got arrested for bullshit weed related offenses. 889 00:47:35,800 --> 00:47:37,319 Speaker 1: I think it's funny because when you go get your 890 00:47:37,320 --> 00:47:39,920 Speaker 1: weed card, all the doctors are like doctor four twenty 891 00:47:40,200 --> 00:47:41,520 Speaker 1: and all that stuff, and now there's gonna be a 892 00:47:41,600 --> 00:47:48,279 Speaker 1: lawyer four twenty, esquire. Just everything is a chance for 893 00:47:48,360 --> 00:47:54,440 Speaker 1: branding the Week Network offices of Green Bud and some 894 00:47:54,520 --> 00:48:00,520 Speaker 1: motherfucking damn real stoner over here. Seriously, guys, um all right? 895 00:48:00,600 --> 00:48:03,799 Speaker 1: And then last thing, there's this idea that I just 896 00:48:03,840 --> 00:48:07,359 Speaker 1: read about that keeps coming up in my mind and 897 00:48:07,600 --> 00:48:10,400 Speaker 1: is affecting how I think about things, and so I 898 00:48:10,440 --> 00:48:13,600 Speaker 1: wanted to just put it out there to our audience, 899 00:48:14,080 --> 00:48:16,359 Speaker 1: uh so they can think about it too. So there's 900 00:48:16,400 --> 00:48:19,040 Speaker 1: this book The Evolution of Beauty that I've been reading 901 00:48:19,719 --> 00:48:23,960 Speaker 1: that's about, you know, how beautiful things come to be 902 00:48:24,160 --> 00:48:28,400 Speaker 1: that way in nature, like how Uh Darwin has this 903 00:48:28,520 --> 00:48:31,680 Speaker 1: quote like every time I see the tail of a 904 00:48:31,719 --> 00:48:34,440 Speaker 1: male peacock, I get like sick to my stomach because 905 00:48:34,480 --> 00:48:39,719 Speaker 1: I don't know because his initial theory of natural selection evolution, 906 00:48:40,320 --> 00:48:44,560 Speaker 1: uh didn't explain how the funk like giant feathers came 907 00:48:44,600 --> 00:48:46,920 Speaker 1: to be and like why there were like these giant 908 00:48:47,160 --> 00:48:50,640 Speaker 1: like beautifully patterned uh you know, fans on the back 909 00:48:50,640 --> 00:48:55,840 Speaker 1: of these birds. And uh. The general consensus for the past, 910 00:48:56,440 --> 00:49:00,839 Speaker 1: you know, fifty years, has been that it's like all 911 00:49:00,920 --> 00:49:05,839 Speaker 1: those things are somehow an indicator of like health. Uh, 912 00:49:05,960 --> 00:49:10,520 Speaker 1: so like some sort of inherent indicator of like, for instance, 913 00:49:10,560 --> 00:49:14,719 Speaker 1: the peacock's tail. So uh. The way people were thinking 914 00:49:14,719 --> 00:49:17,840 Speaker 1: about that was that because it's so big and heavy, 915 00:49:18,120 --> 00:49:21,319 Speaker 1: it was sort of like a built in handicap that 916 00:49:21,360 --> 00:49:24,399 Speaker 1: would prove to female birds that like, look how good 917 00:49:24,400 --> 00:49:26,400 Speaker 1: I am at survival. I can get by with this 918 00:49:26,480 --> 00:49:30,799 Speaker 1: huge tail, so therefore have sex with me. Uh. And 919 00:49:31,080 --> 00:49:34,600 Speaker 1: this ornithologist wrote this book that the New York Times 920 00:49:34,640 --> 00:49:36,920 Speaker 1: put on their list of like best nonfiction books at 921 00:49:36,920 --> 00:49:43,000 Speaker 1: the last yeah, uh, one of the best books of 922 00:49:43,000 --> 00:49:48,359 Speaker 1: two thousand seventeen, where he kind of advances this theory 923 00:49:48,440 --> 00:49:52,560 Speaker 1: that it's all due to this thing called runaway selection, 924 00:49:53,200 --> 00:50:00,000 Speaker 1: where basically female birds have a preference. So let's say 925 00:50:00,520 --> 00:50:06,239 Speaker 1: one female bird has a preference for a larger tail feather. Uh, 926 00:50:06,280 --> 00:50:13,319 Speaker 1: that will become increasingly popular because she will have both uh, 927 00:50:13,560 --> 00:50:17,200 Speaker 1: male offspring with larger tail feathers and female offspring with 928 00:50:17,280 --> 00:50:22,480 Speaker 1: preferences for larger tail feathers because of you know, inherited traits. 929 00:50:22,520 --> 00:50:27,400 Speaker 1: So it's almost like this sort of self fulfilling like 930 00:50:27,600 --> 00:50:34,160 Speaker 1: feedback loop where something becomes popular just because it's popular essentially, 931 00:50:34,200 --> 00:50:38,160 Speaker 1: and you have this like runaway sort of feedback loop 932 00:50:38,280 --> 00:50:43,520 Speaker 1: that is the cause for all these crazy, uh you know, 933 00:50:43,600 --> 00:50:50,400 Speaker 1: seemingly significant aspects of animals and natural selection and like 934 00:50:50,520 --> 00:50:54,440 Speaker 1: that idea of just popularity, like runaway popularity for the 935 00:50:54,480 --> 00:50:59,200 Speaker 1: sake of popularity, and just like random preferences just becoming 936 00:50:59,640 --> 00:51:03,200 Speaker 1: these huge, outsized things keeps coming up in my mind, 937 00:51:03,320 --> 00:51:06,719 Speaker 1: like just looking at like, for instance, I talked last 938 00:51:06,760 --> 00:51:10,759 Speaker 1: week about how we overread elections and about how like 939 00:51:11,000 --> 00:51:15,080 Speaker 1: now we're viewing Trump as this like genius who like 940 00:51:15,280 --> 00:51:18,120 Speaker 1: overcame all the odds. But when you think about like 941 00:51:19,040 --> 00:51:23,120 Speaker 1: when he first came on the scene, like the contributing 942 00:51:23,520 --> 00:51:27,680 Speaker 1: factors for like him getting coverage at all was that, 943 00:51:28,040 --> 00:51:31,280 Speaker 1: you know, people on the left like to laughing point 944 00:51:31,640 --> 00:51:34,960 Speaker 1: at him, and people on the right liked to see 945 00:51:35,480 --> 00:51:39,000 Speaker 1: you know, the elitist media get mad about him, and 946 00:51:39,080 --> 00:51:42,200 Speaker 1: so you have like both of those things contributing, and 947 00:51:42,440 --> 00:51:45,680 Speaker 1: they're just kind of random. It's just that both groups 948 00:51:45,719 --> 00:51:49,440 Speaker 1: of people liked watching him for completely different reasons, and 949 00:51:49,520 --> 00:51:54,760 Speaker 1: so he got more viewers on CNN, and because CNN 950 00:51:54,800 --> 00:51:57,040 Speaker 1: saw that he got more viewers, they covered him more, 951 00:51:57,080 --> 00:52:01,279 Speaker 1: and you have this like self fulfilling thing that happened. Um. 952 00:52:01,360 --> 00:52:06,279 Speaker 1: That seems almost random, but that we I think, I 953 00:52:06,280 --> 00:52:08,080 Speaker 1: don't know. I think there's a metaphor there for like 954 00:52:08,120 --> 00:52:12,759 Speaker 1: how we tend to give give a sort of inherent 955 00:52:12,920 --> 00:52:17,040 Speaker 1: logic to things that sometimes can just be caused by 956 00:52:17,400 --> 00:52:22,719 Speaker 1: you know, self fulfilling popularity. Well, something makes me think 957 00:52:22,719 --> 00:52:24,279 Speaker 1: about I don't know if this is related to what 958 00:52:24,360 --> 00:52:27,640 Speaker 1: you're thinking. Is I just think about Renaissance paintings, um, 959 00:52:27,680 --> 00:52:31,319 Speaker 1: and how the symbol for beauty used to be for 960 00:52:31,360 --> 00:52:34,799 Speaker 1: a woman as if they waited a lot because that 961 00:52:34,880 --> 00:52:36,960 Speaker 1: was a symbol of their wealth. That means they were 962 00:52:37,040 --> 00:52:40,000 Speaker 1: like healthy, but that's because they had access to all 963 00:52:40,000 --> 00:52:44,120 Speaker 1: the food they wanted, and then that eventually became Um. 964 00:52:45,200 --> 00:52:49,080 Speaker 1: Women are now just expected to be unreasonably thin and 965 00:52:49,120 --> 00:52:52,600 Speaker 1: make no sense. Um uh, look almost freakish to be 966 00:52:52,600 --> 00:52:55,120 Speaker 1: considered attractive because they have access to personal trainers and 967 00:52:55,160 --> 00:52:58,759 Speaker 1: LiPo suction. So I think we're attracted to Humans have 968 00:52:58,800 --> 00:53:02,120 Speaker 1: evolved to be attracted to wealth. Um. And that's the 969 00:53:02,160 --> 00:53:04,719 Speaker 1: way and where we're there's a lot of subconscious things 970 00:53:04,760 --> 00:53:07,000 Speaker 1: going on there with wealth. Because I think that's what's 971 00:53:07,000 --> 00:53:09,359 Speaker 1: going on with Trump it's like the reason people listen 972 00:53:09,360 --> 00:53:11,600 Speaker 1: to him is he's wealthy, and that's what we prize, 973 00:53:12,040 --> 00:53:13,960 Speaker 1: and we prize people who have gotten to the top 974 00:53:14,040 --> 00:53:17,560 Speaker 1: no matter what. And wealth is like what we think 975 00:53:17,760 --> 00:53:20,600 Speaker 1: something is how we decide something is beautiful and worth 976 00:53:20,840 --> 00:53:23,520 Speaker 1: investing time in. Right, So I think that would be like, 977 00:53:23,760 --> 00:53:27,560 Speaker 1: how like there's that assumes there's like this inherent logic 978 00:53:27,719 --> 00:53:33,080 Speaker 1: and some sort of inherent significance to why we like 979 00:53:33,160 --> 00:53:36,719 Speaker 1: have the preferences that we do. And I think the 980 00:53:36,760 --> 00:53:39,799 Speaker 1: way that this book is making me think about things 981 00:53:39,880 --> 00:53:42,960 Speaker 1: is what if it's not that? What if it's just that, 982 00:53:43,280 --> 00:53:46,760 Speaker 1: you know, For instance, I've heard people in the fashion industry, 983 00:53:47,000 --> 00:53:49,520 Speaker 1: and this is sort of problematic, but they've I've heard 984 00:53:49,560 --> 00:53:53,160 Speaker 1: people in the fashion industry say that skinny models have 985 00:53:53,239 --> 00:53:56,920 Speaker 1: become popular because so many gay men are tastemakers in 986 00:53:56,960 --> 00:54:01,279 Speaker 1: the fashion industry, and the skinnier model the fewer like 987 00:54:01,360 --> 00:54:07,439 Speaker 1: sort of outwardly obvious female body traits they have. Um So, like, 988 00:54:07,800 --> 00:54:11,839 Speaker 1: what if it's like three different, completely random factors that 989 00:54:12,160 --> 00:54:15,720 Speaker 1: caused one skinny model to be popular, and then because 990 00:54:15,760 --> 00:54:18,520 Speaker 1: that one skinny model was popular, they just started like 991 00:54:18,640 --> 00:54:22,920 Speaker 1: casting skinnier models and like that sort of overtook things. 992 00:54:22,920 --> 00:54:26,000 Speaker 1: Like it is sort of the idea that I think 993 00:54:26,040 --> 00:54:29,680 Speaker 1: this book is suggesting, not necessarily that specific theory, but 994 00:54:29,840 --> 00:54:35,480 Speaker 1: just that sort of random, self fulfilling popularity. And like 995 00:54:35,520 --> 00:54:39,560 Speaker 1: I think a place I've seen this or I thought 996 00:54:39,560 --> 00:54:43,000 Speaker 1: of this as also in the the tide pod fed 997 00:54:43,480 --> 00:54:48,239 Speaker 1: that's going around where kids are eating tide pods and 998 00:54:49,960 --> 00:54:53,280 Speaker 1: adults out there eating that ship for reasons I haven't 999 00:54:53,400 --> 00:54:59,200 Speaker 1: really looked into, but I I have to think I 1000 00:54:59,200 --> 00:55:01,239 Speaker 1: think the Onion said it as a joke and then 1001 00:55:01,280 --> 00:55:04,320 Speaker 1: people actually started doing it. There you go, and that's 1002 00:55:04,400 --> 00:55:07,520 Speaker 1: just uh, I mean, that is natural selection though. Yeah, 1003 00:55:07,960 --> 00:55:11,080 Speaker 1: so I'm fine with that. The tide pod challenge, you know, 1004 00:55:11,160 --> 00:55:14,080 Speaker 1: it's uh, it's it's like YouTube had to start taking 1005 00:55:14,120 --> 00:55:17,360 Speaker 1: him down because like, yeah, you shouldn't need fucking laundry 1006 00:55:17,360 --> 00:55:20,680 Speaker 1: detergent and ship And there's some weird at videos like 1007 00:55:21,120 --> 00:55:23,560 Speaker 1: dudes like just straight sipping like tied out of a 1008 00:55:23,640 --> 00:55:27,560 Speaker 1: cap and should I it's I don't get it right, 1009 00:55:28,000 --> 00:55:30,799 Speaker 1: But when I was born, they were like, you know, 1010 00:55:31,200 --> 00:55:34,080 Speaker 1: TV was the way that we got like all our entertainment. 1011 00:55:34,120 --> 00:55:37,000 Speaker 1: But now that there's you know, millions of people making 1012 00:55:37,080 --> 00:55:39,880 Speaker 1: videos every day on YouTube, Like, I feel like you 1013 00:55:39,920 --> 00:55:42,920 Speaker 1: are more open to these sort of random trends and 1014 00:55:42,960 --> 00:55:46,960 Speaker 1: stuff like um, and so you're going to see this effect. 1015 00:55:47,160 --> 00:55:50,879 Speaker 1: Maybe people be more sensitive to something as stupid as 1016 00:55:51,200 --> 00:55:54,880 Speaker 1: an Onion article that a bunch of people take seriously. 1017 00:55:55,200 --> 00:55:56,960 Speaker 1: I mean yeah, but I also think that's just been 1018 00:55:57,000 --> 00:56:00,320 Speaker 1: a human proclivity. Like orson Wells with were of the 1019 00:56:00,360 --> 00:56:03,120 Speaker 1: worlds on the radio, people killed themselves because of a joke, 1020 00:56:03,280 --> 00:56:05,080 Speaker 1: And I just think there's a lot of dumb people 1021 00:56:05,200 --> 00:56:07,440 Speaker 1: like like, you can't. It's tough to be in the 1022 00:56:07,480 --> 00:56:09,600 Speaker 1: public eye at all. Even having a podcast. You're affecting 1023 00:56:09,600 --> 00:56:12,319 Speaker 1: people's days when you're just someone saying something into a 1024 00:56:12,400 --> 00:56:14,959 Speaker 1: mic and it's like, oh wait, you're you were taking 1025 00:56:15,000 --> 00:56:16,960 Speaker 1: that seriously because I'm dumb and I don't even know 1026 00:56:16,960 --> 00:56:18,760 Speaker 1: if I really think that I just needed to fill 1027 00:56:18,840 --> 00:56:22,080 Speaker 1: air time. It's really scary. Yeah, I hope I don't 1028 00:56:22,120 --> 00:56:25,000 Speaker 1: get sued. Well, have you ever felt a tide pod 1029 00:56:25,080 --> 00:56:27,080 Speaker 1: because like, when you touch one, I want to bite this. 1030 00:56:28,400 --> 00:56:30,880 Speaker 1: It's like a gusher, I mean exactly, multi color. If 1031 00:56:30,920 --> 00:56:33,560 Speaker 1: they if they could make gushers like that, this is 1032 00:56:33,560 --> 00:56:35,600 Speaker 1: a huge opportunity for gushers to come come back in 1033 00:56:35,640 --> 00:56:38,840 Speaker 1: a huge way. Just make the tide pods salad Gusher, 1034 00:56:39,600 --> 00:56:42,360 Speaker 1: my man. Just use this technology like the dissolving whatever 1035 00:56:42,440 --> 00:56:46,600 Speaker 1: that's edible. Oh my god, gush pods all day. I 1036 00:56:46,640 --> 00:56:48,440 Speaker 1: want to take my money out a bitcoin put it 1037 00:56:48,440 --> 00:56:52,360 Speaker 1: into Gusher. Yeah. So yeah, now that you're on a 1038 00:56:52,400 --> 00:56:55,319 Speaker 1: TV show, my man, I got some investment opportunity. I'll 1039 00:56:55,360 --> 00:56:58,239 Speaker 1: do all as long as they're tide pod based. That's fine. Okay, 1040 00:56:58,280 --> 00:57:02,920 Speaker 1: good Jake, it has been wonderful having you here. Where 1041 00:57:02,920 --> 00:57:07,480 Speaker 1: can people find you? What would you like people to do? Um? 1042 00:57:07,520 --> 00:57:09,520 Speaker 1: You can find me on Twitter and Instagram at Weissman 1043 00:57:09,600 --> 00:57:11,719 Speaker 1: Jake W E I S M A N j A K. 1044 00:57:11,960 --> 00:57:14,680 Speaker 1: And please watch my show Corporate on Comedy Central Wednesday 1045 00:57:14,719 --> 00:57:17,880 Speaker 1: at ten pm. It's good. It's very good, very funny, 1046 00:57:18,000 --> 00:57:21,240 Speaker 1: and if you have worked a day in your life, 1047 00:57:21,280 --> 00:57:24,800 Speaker 1: you will recognize a lot of this stuff that you 1048 00:57:24,840 --> 00:57:28,280 Speaker 1: guys poke fun at Miles. Where can people find you? 1049 00:57:28,280 --> 00:57:30,200 Speaker 1: You can find me, you know, I'm trying to think 1050 00:57:30,240 --> 00:57:32,200 Speaker 1: of this, Jake to invest in my new Taye pod 1051 00:57:32,200 --> 00:57:34,720 Speaker 1: Gushers a local lab. But yeah, if you're just in 1052 00:57:34,760 --> 00:57:37,200 Speaker 1: social media, find me on Twitter and Instagram at Miles 1053 00:57:37,240 --> 00:57:39,400 Speaker 1: of Ray. You can find me at Jack Underscore, Oh 1054 00:57:39,480 --> 00:57:43,360 Speaker 1: Brian on Twitter. You can find us at daily Zeist 1055 00:57:43,400 --> 00:57:46,400 Speaker 1: on Twitter. We are at the Daily zic Us on Instagram. 1056 00:57:46,520 --> 00:57:49,640 Speaker 1: We have a Facebook fan page just search daily zeekeeis 1057 00:57:49,920 --> 00:57:53,000 Speaker 1: and we have a website daily zekeeis dot com where 1058 00:57:53,080 --> 00:57:56,200 Speaker 1: we post our episodes and put no foot links off 1059 00:57:56,240 --> 00:58:00,720 Speaker 1: to all the sources that used for our things that 1060 00:58:00,760 --> 00:58:04,479 Speaker 1: we talked about today. And Jake, you have a song 1061 00:58:04,600 --> 00:58:07,440 Speaker 1: that you can tell our listeners about that we can 1062 00:58:07,520 --> 00:58:10,720 Speaker 1: ride out onto that. Yes, I do. Is it gonna 1063 00:58:10,720 --> 00:58:12,919 Speaker 1: be something very dark and difference. You know, it's gonna 1064 00:58:12,920 --> 00:58:16,680 Speaker 1: be fun. It's called My My My by Troy Savant 1065 00:58:16,880 --> 00:58:19,120 Speaker 1: t R O y E s I V A N. 1066 00:58:19,200 --> 00:58:21,200 Speaker 1: It's a really fun pop song. What do you like 1067 00:58:21,240 --> 00:58:23,360 Speaker 1: about it? I like that I don't have to think 1068 00:58:23,360 --> 00:58:25,240 Speaker 1: too much and it makes me feel good and it's 1069 00:58:25,320 --> 00:58:28,280 Speaker 1: dumb and I just part of adult that is making 1070 00:58:28,320 --> 00:58:31,240 Speaker 1: you like pop music. It's like candy that doesn't make 1071 00:58:31,280 --> 00:58:33,680 Speaker 1: your teeth, you know. It's like I like it. It's 1072 00:58:33,720 --> 00:58:36,080 Speaker 1: made for me to like enjoy it. It's like the 1073 00:58:36,120 --> 00:58:40,760 Speaker 1: nodding hill of pops. That's perfect. All right, I'm gonna 1074 00:58:40,800 --> 00:58:42,880 Speaker 1: do it for today. We will be back tomorrow because 1075 00:58:42,880 --> 00:58:56,120 Speaker 1: it is a daily podcast. Talk to shine on this passion, 1076 00:58:57,640 --> 00:59:06,360 Speaker 1: this passion justice swell anessy and lay sipping from up, 1077 00:59:06,560 --> 00:59:15,720 Speaker 1: burning from love. They my baby, They stop punning from us, 1078 00:59:16,000 --> 00:59:23,000 Speaker 1: running for us. Plast my baby, Oh my my mind. 1079 00:59:25,240 --> 00:59:34,880 Speaker 1: I got every night, me by my eye