1 00:00:00,120 --> 00:00:03,199 Speaker 1: Hello the Internet. I'm welcome to season eighty six, Episode 2 00:00:03,200 --> 00:00:05,800 Speaker 1: three of DAR Daily Night Guys. The production to by 3 00:00:05,840 --> 00:00:08,119 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:08,160 --> 00:00:11,879 Speaker 1: deep dive into America's share consciousness and say officially off 5 00:00:11,920 --> 00:00:16,480 Speaker 1: the top fun Coke Industries and Funck Fox News. It's Wednesday, 6 00:00:16,640 --> 00:00:19,119 Speaker 1: June thirteen, two thousand nineteen. My name is Jack O'Brien 7 00:00:19,200 --> 00:00:23,640 Speaker 1: A K Adolf Littler, A K. Brosa Fallen, A K. 8 00:00:24,239 --> 00:00:29,400 Speaker 1: Danklin Rosas Felt a K. Winston church Trill. Those are 9 00:00:29,440 --> 00:00:31,440 Speaker 1: all courtesy if Christie. I'm a gucaman and on the 10 00:00:31,480 --> 00:00:34,720 Speaker 1: thrills to be joined by my co host, guest co 11 00:00:34,960 --> 00:00:39,320 Speaker 1: host and Lazy Mosley's Lazy Mosley a k A Samn 12 00:00:39,400 --> 00:00:42,000 Speaker 1: Gottess aka I'll have the thust for you today time 13 00:00:43,760 --> 00:00:49,479 Speaker 1: she just doesn't bring it when a right right off 14 00:00:49,479 --> 00:00:56,600 Speaker 1: the top. Well, we're thrills to be joined in our 15 00:00:56,680 --> 00:01:02,560 Speaker 1: third seat by Lil Zanfers. Okay, so ak A is 16 00:01:02,560 --> 00:01:06,319 Speaker 1: there any other like nerdy ship you guys do that 17 00:01:06,800 --> 00:01:09,600 Speaker 1: you don't talk about a lot, And they're like, I'm 18 00:01:09,840 --> 00:01:20,400 Speaker 1: about well, I mean like generally but seriously, Yeah, you 19 00:01:20,480 --> 00:01:33,120 Speaker 1: don't play unless it's true. Yeah, Yeah, wait was that 20 00:01:33,319 --> 00:01:36,280 Speaker 1: us talking over that? That was yeah, that from the 21 00:01:36,360 --> 00:01:39,800 Speaker 1: Daily exactly a year ago, because that was when I 22 00:01:39,880 --> 00:01:45,840 Speaker 1: interviewed he Goes three. Stay talking about a Can you 23 00:01:45,880 --> 00:01:50,800 Speaker 1: tell they were sponsored by E that year? Because yeah, yeah, 24 00:01:51,160 --> 00:01:52,600 Speaker 1: I think they just had to say it like ten 25 00:01:52,600 --> 00:01:56,600 Speaker 1: times in every interview and I had two minutes. Well, 26 00:01:56,640 --> 00:01:59,880 Speaker 1: I'm thrilled to have both of you here today. One 27 00:02:00,000 --> 00:02:03,920 Speaker 1: Miles is out on a mission at E three, But 28 00:02:04,320 --> 00:02:06,720 Speaker 1: is he going to meet me? Goes You know, that's 29 00:02:06,720 --> 00:02:10,840 Speaker 1: the question. Uh. They seemed like a just a fascinating, 30 00:02:10,960 --> 00:02:15,000 Speaker 1: lively interview, so we can only hope that that he 31 00:02:15,040 --> 00:02:17,960 Speaker 1: gets something like that. Jamie. We're gonna get to know 32 00:02:18,000 --> 00:02:20,760 Speaker 1: you a little bit, a little bit better in a moment. First, 33 00:02:20,800 --> 00:02:22,680 Speaker 1: we're gonna tell our listeners a couple of things we're 34 00:02:22,680 --> 00:02:26,520 Speaker 1: talking about today, Lacy, it is a sports day, Yeah, 35 00:02:26,639 --> 00:02:32,000 Speaker 1: sports ball. We're talking about Big Poppy getting shot, uh, 36 00:02:32,040 --> 00:02:35,880 Speaker 1: and just the Dominican Republican General. We're going to talk 37 00:02:35,919 --> 00:02:39,519 Speaker 1: about the n r A getting caught stealing from itself. 38 00:02:40,200 --> 00:02:44,960 Speaker 1: We're gonna talk about Trump's big deal with Mexico, what 39 00:02:45,000 --> 00:02:49,880 Speaker 1: we're calling no deal or no deal. Uh. And Walmart 40 00:02:50,000 --> 00:02:54,200 Speaker 1: has introduced their new robots. Uh and it working with 41 00:02:54,240 --> 00:02:59,080 Speaker 1: them sounds not great. Uh not not according to them. 42 00:02:59,120 --> 00:03:02,760 Speaker 1: According to them, Uh, they compared their robot workers to 43 00:03:03,040 --> 00:03:07,480 Speaker 1: R two D two, an optimist prime in uh a 44 00:03:08,080 --> 00:03:12,880 Speaker 1: like company newsletter titled hashtag squad Goals Swear to God. 45 00:03:13,200 --> 00:03:16,520 Speaker 1: Uh So we're gonna talk about that, and we're gonna 46 00:03:16,520 --> 00:03:21,840 Speaker 1: talk about Kevin Durant going down with the most predictable 47 00:03:21,960 --> 00:03:27,600 Speaker 1: catastrophic injury ever and just very depressing injury in what 48 00:03:27,760 --> 00:03:31,160 Speaker 1: has become a really good finals. Uh So, yeah, big 49 00:03:31,160 --> 00:03:34,320 Speaker 1: sports day for you in particular, Jamie, we knew you were. 50 00:03:34,720 --> 00:03:37,440 Speaker 1: You had some hot takes to unload on us. Uh. 51 00:03:37,440 --> 00:03:40,680 Speaker 1: And we're gonna close out with the poor man's theory 52 00:03:40,680 --> 00:03:45,680 Speaker 1: of pop culture success, which is a theory that movies 53 00:03:45,800 --> 00:03:51,600 Speaker 1: fail because some other movie has already filled the the role. Basically, 54 00:03:51,600 --> 00:03:55,240 Speaker 1: it's coming off of Dark Phoenix failing because Avengers End 55 00:03:55,240 --> 00:03:58,960 Speaker 1: Game had already sort of satisfied that itch. Uh So 56 00:03:59,040 --> 00:04:02,280 Speaker 1: we're gonna talk about at how it explains different movies 57 00:04:02,400 --> 00:04:06,160 Speaker 1: that failed and other Hollywood careers that failed to sort 58 00:04:06,200 --> 00:04:09,720 Speaker 1: of take off. Um. But first, Jamie, we like task 59 00:04:09,720 --> 00:04:12,040 Speaker 1: our guests, what is something from your search history that's 60 00:04:12,040 --> 00:04:15,080 Speaker 1: revealing about who you are. Okay, this is a search 61 00:04:15,160 --> 00:04:18,120 Speaker 1: from this morning. I have been having some wild dreams, 62 00:04:18,240 --> 00:04:21,400 Speaker 1: and so my search this morning was dream about rabbit 63 00:04:21,480 --> 00:04:24,680 Speaker 1: with crust on its mouth. From what I can tell, 64 00:04:24,720 --> 00:04:28,560 Speaker 1: there's there's not a lot of there's not a lot. 65 00:04:29,160 --> 00:04:31,640 Speaker 1: I may be, in fact an innovator in this field. 66 00:04:32,440 --> 00:04:35,719 Speaker 1: You has invented a new dream. I had a dream 67 00:04:35,800 --> 00:04:38,640 Speaker 1: last night that like it. I had a dream that 68 00:04:38,680 --> 00:04:40,480 Speaker 1: I woke up and there was a turtle in my 69 00:04:40,520 --> 00:04:43,200 Speaker 1: bed and it was like hugging my leg and I 70 00:04:43,279 --> 00:04:45,839 Speaker 1: was like, I'll be this turtle's mom. Sure, And then 71 00:04:46,400 --> 00:04:48,359 Speaker 1: I was like, I gotta go show my friends, which 72 00:04:48,440 --> 00:04:50,960 Speaker 1: they were all at a grocery store in the back 73 00:04:51,360 --> 00:04:54,680 Speaker 1: because they worked there. So I went to the grocery store, 74 00:04:54,720 --> 00:04:56,400 Speaker 1: brought my turtle and I was taking it out of 75 00:04:56,440 --> 00:04:58,320 Speaker 1: the bag to be like, check out this turtle. But 76 00:04:58,440 --> 00:05:00,720 Speaker 1: then it was a rabbit with CRUs st on its mouth, 77 00:05:00,920 --> 00:05:02,719 Speaker 1: and You're like, where did you get this crusty rabbit? 78 00:05:02,760 --> 00:05:04,800 Speaker 1: And I was like, he'll tell you, and then he 79 00:05:04,839 --> 00:05:06,760 Speaker 1: couldn't talk because of all the crust on his mouth. 80 00:05:06,800 --> 00:05:10,479 Speaker 1: Horny turtles do turn into crusty rabbits. I believe that 81 00:05:10,640 --> 00:05:18,400 Speaker 1: is like the caterpillar to butterfly transition, looking for me. 82 00:05:18,760 --> 00:05:21,800 Speaker 1: But maybe it's just that gets a memory that actually 83 00:05:21,800 --> 00:05:23,279 Speaker 1: happened to you. I think it may have been a 84 00:05:23,279 --> 00:05:25,599 Speaker 1: repressed memory of the time I brought my turtle to 85 00:05:25,720 --> 00:05:29,760 Speaker 1: a grocery store. Our neighbor has a white rabbit that 86 00:05:30,200 --> 00:05:33,560 Speaker 1: is constantly escaping and just hanging out in our front yard, 87 00:05:34,400 --> 00:05:36,960 Speaker 1: which is cool because we get like a pet rabbit. 88 00:05:37,080 --> 00:05:40,160 Speaker 1: For it's not that big. It's just like a you know, 89 00:05:40,400 --> 00:05:44,400 Speaker 1: like a normal sized rabbit. But people, like at least 90 00:05:44,480 --> 00:05:46,680 Speaker 1: once a day people stop by our house and are like, 91 00:05:46,720 --> 00:05:50,960 Speaker 1: your rabbit got out, and uh, and then we have 92 00:05:51,040 --> 00:05:53,520 Speaker 1: to explain, no, it's our neighbors. But they don't care 93 00:05:53,640 --> 00:05:56,520 Speaker 1: that their rabbits out. They just let it stay out 94 00:05:56,600 --> 00:05:59,359 Speaker 1: and it comes home. So very weird. Thing is a 95 00:05:59,360 --> 00:06:04,080 Speaker 1: wild rab it like that? Right? I thought it was 96 00:06:04,160 --> 00:06:08,560 Speaker 1: just a normal rabbit, any other rabbit, and it's like, 97 00:06:08,640 --> 00:06:13,360 Speaker 1: oh wait, let's bounce. Yeah. I used to have a 98 00:06:13,360 --> 00:06:19,039 Speaker 1: pet turtle named football team. Really yeah he was really 99 00:06:20,320 --> 00:06:22,880 Speaker 1: you're the best. Yeah. I think the way that they 100 00:06:22,920 --> 00:06:24,880 Speaker 1: know it's not a real rabbit. And this is some 101 00:06:25,520 --> 00:06:29,560 Speaker 1: information that apparently everybody but me head is that white 102 00:06:29,640 --> 00:06:33,920 Speaker 1: rabbits don't exist in the wild. Uh, they only exist 103 00:06:34,000 --> 00:06:38,720 Speaker 1: in magician's hats in my front yard and you're having 104 00:06:38,720 --> 00:06:42,600 Speaker 1: a dream. Yeah, it's like very dream logic. E though. 105 00:06:42,640 --> 00:06:46,040 Speaker 1: It's just this, like every time I come home late 106 00:06:46,040 --> 00:06:48,640 Speaker 1: at night or you know, from work, there's just a 107 00:06:48,720 --> 00:06:51,120 Speaker 1: rabbit that's just like staring up at me, like as 108 00:06:51,160 --> 00:06:55,080 Speaker 1: I walk. If anyone in Zegang is a dream analyst, 109 00:06:55,200 --> 00:06:57,400 Speaker 1: let me know, because it's seeing a rabbit in your 110 00:06:57,480 --> 00:06:59,120 Speaker 1: dream is supposed to me and like a sign of 111 00:06:59,160 --> 00:07:01,560 Speaker 1: success in luck. But what if it cannot speak because 112 00:07:01,600 --> 00:07:05,040 Speaker 1: it's too crusty? It seems ominous, right? What was it 113 00:07:05,320 --> 00:07:08,080 Speaker 1: was the crust specific color? Like it wasn't like it 114 00:07:08,160 --> 00:07:10,920 Speaker 1: was also it was a white rabbit. The crust was 115 00:07:11,000 --> 00:07:12,760 Speaker 1: also white, but like you to the point where you 116 00:07:12,760 --> 00:07:15,040 Speaker 1: couldn't even see the rabbit's mouth his mouth was like 117 00:07:15,760 --> 00:07:20,840 Speaker 1: it was pretty grotesque, habies. Yeah, it's like a raby rabbit. 118 00:07:20,920 --> 00:07:24,800 Speaker 1: But damn, that's crazy though because normally, like the dream 119 00:07:24,840 --> 00:07:26,640 Speaker 1: websites we have in add Ty, like I go on 120 00:07:26,720 --> 00:07:28,400 Speaker 1: there all the time, and I don't know if I 121 00:07:28,480 --> 00:07:31,000 Speaker 1: make interpretations on dream websites just because that's what I 122 00:07:31,040 --> 00:07:33,360 Speaker 1: want to happen. Like, I remember, I used to have 123 00:07:33,400 --> 00:07:36,880 Speaker 1: these vivid dreams in college before. This is terrible, but 124 00:07:37,160 --> 00:07:40,320 Speaker 1: I told his girl's boyfriend, and but the dreams was 125 00:07:40,360 --> 00:07:47,480 Speaker 1: like this girl the ultimate scam because the dreams were like, oh, girls, 126 00:07:47,720 --> 00:07:49,840 Speaker 1: you're supposed to be with this man you love with you, 127 00:07:50,400 --> 00:07:53,920 Speaker 1: y'all be together. That's at least have my interpretation, right. 128 00:07:55,080 --> 00:07:58,480 Speaker 1: I wonder if you can like find that that's interesting. 129 00:07:58,520 --> 00:08:00,680 Speaker 1: There's some reliable dream web sites that I go to 130 00:08:00,800 --> 00:08:05,440 Speaker 1: that just basically confirmed my own biases. In that respect, 131 00:08:05,680 --> 00:08:07,960 Speaker 1: I need that I was on dreaming and Sleeping dot com. 132 00:08:08,000 --> 00:08:12,280 Speaker 1: It doesn't dreams, honey, dreams I got everything they got. 133 00:08:12,400 --> 00:08:18,200 Speaker 1: Kissing your cousin making out with your auntie. You know, 134 00:08:18,480 --> 00:08:22,120 Speaker 1: you know the greatest of the greatest hits of dreams 135 00:08:22,120 --> 00:08:24,880 Speaker 1: that we've all had because you're your cousin making out right. 136 00:08:26,600 --> 00:08:28,720 Speaker 1: I still my worst dream that I've ever had, or 137 00:08:28,760 --> 00:08:30,840 Speaker 1: the dream I had that I've never been able to analyze, 138 00:08:30,960 --> 00:08:32,280 Speaker 1: is like when I was twelve and I had a 139 00:08:32,360 --> 00:08:35,719 Speaker 1: dream that I was having a birthday party and there 140 00:08:35,800 --> 00:08:38,200 Speaker 1: was like one of those inflatable jumpy houses which we 141 00:08:38,200 --> 00:08:40,120 Speaker 1: can like I never had one of those, and I 142 00:08:40,200 --> 00:08:41,960 Speaker 1: was like, oh, this is so cool. Is my birthday? 143 00:08:42,160 --> 00:08:44,200 Speaker 1: And they were like, actually, Bob saggetts in there, and 144 00:08:44,200 --> 00:08:49,920 Speaker 1: he's not going to come out so ruined the party. 145 00:08:50,320 --> 00:08:53,760 Speaker 1: That sounds like it could be a memory. Also, wait, 146 00:08:53,800 --> 00:08:55,800 Speaker 1: how old were you when you had that dream? Twelve? 147 00:08:55,840 --> 00:09:00,800 Speaker 1: I just watched like reruns. Yeah, you already got the 148 00:09:00,840 --> 00:09:07,720 Speaker 1: sense that Bob sag it was and he's not coming 149 00:09:07,760 --> 00:09:15,319 Speaker 1: out uncooperative bitch. What is something you think is underrated? Underrated? Um? 150 00:09:15,360 --> 00:09:19,679 Speaker 1: Having an ugly dog? I here's the thing. My dog 151 00:09:19,760 --> 00:09:22,600 Speaker 1: looks like ship right now. Your dog's hot. My dog 152 00:09:22,679 --> 00:09:24,920 Speaker 1: is okay. Have you seen a picture of him? My 153 00:09:25,000 --> 00:09:28,280 Speaker 1: dog is so cute. I love Sonny, very love. I 154 00:09:28,320 --> 00:09:31,240 Speaker 1: love my son no matter what. However, he got a 155 00:09:31,280 --> 00:09:36,080 Speaker 1: real bad haircut where they were basically like we're shaving 156 00:09:36,200 --> 00:09:39,240 Speaker 1: him and now he looks like Lord Farquad. He looks. 157 00:09:39,800 --> 00:09:43,240 Speaker 1: Oh no, he looks. I'll just share a quick visual 158 00:09:43,480 --> 00:09:47,160 Speaker 1: because this is a visual medium. Um, he looks quite bad. 159 00:09:47,440 --> 00:09:50,560 Speaker 1: When I thought my boyfriend was afraid to show me 160 00:09:50,600 --> 00:09:54,120 Speaker 1: because he was just like, it's with your boyfriend, it's 161 00:09:54,160 --> 00:09:58,119 Speaker 1: not good. It's oh wow, Yeah, he does look like Lord. 162 00:09:58,160 --> 00:10:00,520 Speaker 1: He looks like Lord Farquad, he looks like William H. 163 00:10:00,559 --> 00:10:05,520 Speaker 1: Macy too many um either way, Okay, you know it's haircut. 164 00:10:06,520 --> 00:10:10,320 Speaker 1: He's still cute, he's still cocky as hell. But you know, 165 00:10:10,440 --> 00:10:12,560 Speaker 1: it's interesting. It's like, you know, sometimes you look at 166 00:10:12,679 --> 00:10:15,880 Speaker 1: your your your beloved after a haircut, and you're like, yeah, 167 00:10:15,880 --> 00:10:19,800 Speaker 1: I just don't love you anymore. It turns out looks 168 00:10:19,840 --> 00:10:24,240 Speaker 1: are truly everything. Yeah, but but it's fun to show 169 00:10:24,320 --> 00:10:26,600 Speaker 1: people how ugly he is. And I've actually been enjoying it. 170 00:10:27,000 --> 00:10:30,000 Speaker 1: I can't beat a mother, and it adds character. I mean, like, 171 00:10:30,160 --> 00:10:33,160 Speaker 1: I feel like all beautiful dogs look alike, but I 172 00:10:33,320 --> 00:10:36,880 Speaker 1: know a dog with a bad haircut. Bad haircuts are unique. 173 00:10:36,920 --> 00:10:40,760 Speaker 1: He's really going to have to develop a personality. Actually, 174 00:10:40,760 --> 00:10:45,160 Speaker 1: it's quite the online person is uh, you know, just 175 00:10:45,280 --> 00:10:50,679 Speaker 1: countdown brexit. Uh what is something that you think is overrated? Overrated? 176 00:10:51,000 --> 00:10:54,800 Speaker 1: Is Rebecca who cuts Sonny's hair? I'm still so mad 177 00:10:54,800 --> 00:10:57,679 Speaker 1: at about it. I would also say something that's underrated 178 00:10:58,480 --> 00:11:00,920 Speaker 1: that also counts would be him of the opera, the 179 00:11:00,960 --> 00:11:04,760 Speaker 1: touring production. That's underrated, that's underrated. I had just like 180 00:11:04,920 --> 00:11:08,400 Speaker 1: two underrated today. I was like just like having an 181 00:11:08,400 --> 00:11:11,280 Speaker 1: off day. And then I remember there's a local production 182 00:11:11,320 --> 00:11:14,080 Speaker 1: the Fantom of the Opera nearby, which always makes me 183 00:11:14,120 --> 00:11:18,040 Speaker 1: feel better, and so I, you know, put the ticket 184 00:11:18,080 --> 00:11:20,680 Speaker 1: on a credit card, went sat in the very last 185 00:11:20,800 --> 00:11:24,360 Speaker 1: row next to daddy daughter date that did not seem 186 00:11:24,360 --> 00:11:27,760 Speaker 1: to be going very well. It's just like a huge 187 00:11:27,880 --> 00:11:30,000 Speaker 1: fanom of the opera mood is. There was a dad 188 00:11:30,040 --> 00:11:32,560 Speaker 1: who was trying to connect and his daughter was like, 189 00:11:32,679 --> 00:11:35,800 Speaker 1: I think it's sexist, and I'm like, okay, that was 190 00:11:35,800 --> 00:11:38,640 Speaker 1: probably his weekend. Yes, come on, you can't only get 191 00:11:38,679 --> 00:11:43,520 Speaker 1: you for the summer summer. It seems like a tense 192 00:11:43,559 --> 00:11:46,040 Speaker 1: relationship to begin with. And then she's just like, I 193 00:11:46,080 --> 00:11:48,600 Speaker 1: think it's sexist, and he was just like, well, I 194 00:11:48,640 --> 00:11:52,760 Speaker 1: don't know what to dally just immediately flips out. He 195 00:11:52,840 --> 00:11:59,160 Speaker 1: was drinking. It was also the one PM matin. It 196 00:11:59,320 --> 00:12:01,680 Speaker 1: was just no, he didn't want to beat there. He 197 00:12:01,760 --> 00:12:06,560 Speaker 1: was like, look, you said you like plays. She was 198 00:12:06,640 --> 00:12:08,600 Speaker 1: literally I mean this girl she was she seemed pretty 199 00:12:08,600 --> 00:12:11,280 Speaker 1: cool because she was like thirteen or fourteen, and she's like, actually, 200 00:12:11,360 --> 00:12:14,080 Speaker 1: I like the messages perpetuated in the Spring Awakening much 201 00:12:14,200 --> 00:12:19,560 Speaker 1: better right now? For as the pantages. The only show 202 00:12:19,600 --> 00:12:22,240 Speaker 1: one short at a time there. But I felt I 203 00:12:22,280 --> 00:12:25,000 Speaker 1: felt great. I thought it was amazing. I'm trying to 204 00:12:25,080 --> 00:12:29,480 Speaker 1: just run run into the phantom. Now. I've I've been 205 00:12:29,480 --> 00:12:32,920 Speaker 1: to like plays on Broadway and I've been to high 206 00:12:32,960 --> 00:12:37,800 Speaker 1: school plays and I can't. As somebody who is not 207 00:12:37,960 --> 00:12:42,000 Speaker 1: a huge play person, I think they're both equally of value. 208 00:12:42,240 --> 00:12:45,960 Speaker 1: Like I think they're um. Is that something you'd say 209 00:12:46,200 --> 00:12:49,600 Speaker 1: is underrated in general? Is just any play you can 210 00:12:49,600 --> 00:12:52,840 Speaker 1: get to? Like local theater, local productions. I mean, this 211 00:12:52,960 --> 00:12:55,400 Speaker 1: was a pretty fancy it's the national touring company. But 212 00:12:55,800 --> 00:12:58,720 Speaker 1: as someone who has attended a lot of performances of 213 00:12:58,800 --> 00:13:03,800 Speaker 1: Shrek Jr. I when I first moved here, I drove 214 00:13:04,000 --> 00:13:08,440 Speaker 1: to a middle school production of Shrek jr. And you 215 00:13:08,480 --> 00:13:13,120 Speaker 1: really see kids doing the absolute most um and yeah, 216 00:13:13,160 --> 00:13:16,880 Speaker 1: it's it's it's great, that's awesome. Check out local theater. Also, 217 00:13:17,280 --> 00:13:19,920 Speaker 1: never go to a youth production by yourself. You look 218 00:13:20,000 --> 00:13:24,280 Speaker 1: like a perverse and the parents think that you're you're 219 00:13:24,360 --> 00:13:26,920 Speaker 1: like trying to make their kids famous. They think you're 220 00:13:26,960 --> 00:13:29,840 Speaker 1: like so, and do they how do they react to that? 221 00:13:29,880 --> 00:13:33,679 Speaker 1: Are they like it's a good hag? They know ed 222 00:13:33,720 --> 00:13:36,920 Speaker 1: Shrek Junior. I was getting free cookies and lemonade because 223 00:13:36,920 --> 00:13:43,160 Speaker 1: I was an adult, and they're like, she's that is 224 00:13:47,960 --> 00:13:53,199 Speaker 1: cookies with a Clifford and were places because I was 225 00:13:53,720 --> 00:13:56,920 Speaker 1: writing about it, so I was taking no were like 226 00:13:57,280 --> 00:13:59,520 Speaker 1: they thought were about to make that kids. Why were 227 00:14:00,040 --> 00:14:03,439 Speaker 1: the t a I did. I I used to write 228 00:14:03,440 --> 00:14:06,599 Speaker 1: about a lot of different productions of Shrek that I 229 00:14:06,640 --> 00:14:09,559 Speaker 1: would seeing across the country, and so this was the 230 00:14:09,600 --> 00:14:11,679 Speaker 1: first middle school production I had seen, and I just 231 00:14:11,800 --> 00:14:14,480 Speaker 1: you know, I didn't think I'm not familiar with you 232 00:14:14,600 --> 00:14:18,840 Speaker 1: kind have taken this further. Let parents approach you. You're like, yeah, yeah, 233 00:14:18,840 --> 00:14:21,560 Speaker 1: I managed to talk, you know, and that's amazing. You 234 00:14:21,560 --> 00:14:23,800 Speaker 1: can probably get some free meals meals out of it 235 00:14:23,840 --> 00:14:26,200 Speaker 1: by just being like, yeah, I were really interested in 236 00:14:26,240 --> 00:14:28,120 Speaker 1: your kids, Like should I come over for a meal? 237 00:14:28,480 --> 00:14:31,000 Speaker 1: You come friend involved and you got everything going on. 238 00:14:31,160 --> 00:14:33,680 Speaker 1: I'm a photographer for you guys. They're only a thousand 239 00:14:33,720 --> 00:14:45,480 Speaker 1: dollars like fully you. I love the way of how 240 00:14:45,520 --> 00:14:48,080 Speaker 1: you get this game going. Come on. John Robert Powers, 241 00:14:48,360 --> 00:14:52,560 Speaker 1: oh yeah, oh. One of the biggest and best to 242 00:14:52,640 --> 00:14:56,160 Speaker 1: ever do it. John Robert Powers advertised on the radio 243 00:14:56,280 --> 00:14:58,000 Speaker 1: that he was going to make you a star. All 244 00:14:58,040 --> 00:14:59,640 Speaker 1: you had to do is get your mama to take 245 00:14:59,680 --> 00:15:02,680 Speaker 1: you to the mall and then science of contract and 246 00:15:02,720 --> 00:15:05,360 Speaker 1: give John some money. What did he have a store 247 00:15:05,400 --> 00:15:07,800 Speaker 1: at the mall? No, you just made him in the mall. No, 248 00:15:10,400 --> 00:15:13,040 Speaker 1: I'll be at the mall food court. And people are 249 00:15:13,080 --> 00:15:17,640 Speaker 1: just like a lot of people would go to the mall. 250 00:15:18,280 --> 00:15:20,560 Speaker 1: You know how to get on TV? Like, I guess 251 00:15:20,560 --> 00:15:24,320 Speaker 1: we gotta go to the mall. That is incredible. I 252 00:15:24,360 --> 00:15:26,520 Speaker 1: remember being told to stand straight at the mall in 253 00:15:26,600 --> 00:15:30,840 Speaker 1: case there was at the Brockton like Westgate mall, Like 254 00:15:30,960 --> 00:15:34,000 Speaker 1: you never know. My mom, she was like, you never know. 255 00:15:34,120 --> 00:15:37,160 Speaker 1: They could be, you know, casting for playing against sports commercials. 256 00:15:37,320 --> 00:15:40,360 Speaker 1: That's fair. She probably recognized that you were a star 257 00:15:40,440 --> 00:15:42,640 Speaker 1: at a young She was just like, don't look like 258 00:15:42,640 --> 00:15:44,920 Speaker 1: you have Scully houses at the mall. Now. I am 259 00:15:44,920 --> 00:15:49,000 Speaker 1: actually not familiar with the mythos of Shrek Jr. Is 260 00:15:49,040 --> 00:15:53,040 Speaker 1: this completely new story that was written for stage that's 261 00:15:53,040 --> 00:15:57,160 Speaker 1: about a So there's a Broadway production of Shrek that 262 00:15:57,360 --> 00:16:00,720 Speaker 1: is like not very funny and and kind of serious 263 00:16:00,880 --> 00:16:04,040 Speaker 1: and Shrek is you see new dimensions of them you'd 264 00:16:04,040 --> 00:16:07,920 Speaker 1: never see otherwise. So I saw that the touring production 265 00:16:08,040 --> 00:16:10,400 Speaker 1: in Boston when I lived there, and then Shrek Junior. 266 00:16:10,560 --> 00:16:13,280 Speaker 1: No like Shrek Junior, they just they make it funnier. 267 00:16:13,320 --> 00:16:16,640 Speaker 1: They add more farts. Shrek, I mean, the cast of 268 00:16:16,640 --> 00:16:18,640 Speaker 1: Shrek Junior can't get enough of the farts. So the 269 00:16:18,760 --> 00:16:22,080 Speaker 1: Junior is for the kids that are in attendance. It's 270 00:16:22,120 --> 00:16:27,440 Speaker 1: not about Shrek's child of Shrek, same show, but everyone 271 00:16:27,600 --> 00:16:30,520 Speaker 1: is like the actors are kids, and there's more farting, 272 00:16:30,680 --> 00:16:33,640 Speaker 1: got it? Uh? And what's a myth? What's something people 273 00:16:33,640 --> 00:16:36,440 Speaker 1: think is true? You know to be false service versa 274 00:16:36,760 --> 00:16:41,360 Speaker 1: that you should like try to reconnect with, like people 275 00:16:41,400 --> 00:16:43,640 Speaker 1: from your past that you only sort of knew in 276 00:16:43,680 --> 00:16:47,320 Speaker 1: the first place. The example I will use is I 277 00:16:47,440 --> 00:16:52,040 Speaker 1: ran into someone I knew in Boston at like I 278 00:16:52,080 --> 00:16:54,360 Speaker 1: was not to brag, but my career is going very well. 279 00:16:54,400 --> 00:16:58,760 Speaker 1: So I was performing in a wine cellar and I 280 00:16:58,840 --> 00:17:01,720 Speaker 1: ran into this guy, that very nice guy. We used 281 00:17:01,720 --> 00:17:06,639 Speaker 1: to do improv together when I did that, and like 282 00:17:06,720 --> 00:17:09,560 Speaker 1: we were having like a really nice conversation and my 283 00:17:09,600 --> 00:17:11,760 Speaker 1: set was coming up, and I was like, oh my god, 284 00:17:11,760 --> 00:17:14,119 Speaker 1: it's so good to see you. You should, like, you know, 285 00:17:14,160 --> 00:17:15,879 Speaker 1: if you have a second My set is in a 286 00:17:15,880 --> 00:17:17,720 Speaker 1: few minutes, which normally I wouldn't do. But I was like, 287 00:17:17,800 --> 00:17:22,800 Speaker 1: my know, this guy, it's fine. And then I, you know, 288 00:17:22,840 --> 00:17:25,200 Speaker 1: turn my back to go into the room. And then 289 00:17:25,240 --> 00:17:27,680 Speaker 1: I looked back like as I was about to enter 290 00:17:27,680 --> 00:17:31,480 Speaker 1: the room, and he was truly fleeing the bar, like, 291 00:17:31,960 --> 00:17:34,440 Speaker 1: which is exactly what I would have done if someone 292 00:17:34,480 --> 00:17:36,800 Speaker 1: invited me to see their stand up set at a 293 00:17:36,840 --> 00:17:41,439 Speaker 1: wine cellar. But it did haunt me all weekends. And uh, 294 00:17:41,480 --> 00:17:45,160 Speaker 1: you know, he was right though he wasn't. He was like, 295 00:17:45,200 --> 00:17:48,679 Speaker 1: in general, okay, taking the odds. If if somebody that 296 00:17:48,800 --> 00:17:50,800 Speaker 1: you used to do IMPROVM with invites you to their 297 00:17:50,840 --> 00:17:53,120 Speaker 1: stand up set or stay for their stand up set, 298 00:17:53,240 --> 00:17:57,520 Speaker 1: yes maybe, like if it's just anybody, But he missed 299 00:17:57,520 --> 00:18:00,359 Speaker 1: a great stand up set. I trasked me. See, the 300 00:18:00,400 --> 00:18:04,120 Speaker 1: thing is I had already trapped him there by acknowledging 301 00:18:04,119 --> 00:18:05,880 Speaker 1: that we knew each other, because it was the sort 302 00:18:05,920 --> 00:18:08,000 Speaker 1: of thing where we didn't have to say hello. He 303 00:18:08,040 --> 00:18:09,800 Speaker 1: said hello to me. First, I'm like, okay, now you 304 00:18:09,920 --> 00:18:13,960 Speaker 1: have to suffer through, you know, And but then I 305 00:18:14,400 --> 00:18:17,600 Speaker 1: actually do admire that he did that because that's what 306 00:18:17,640 --> 00:18:19,320 Speaker 1: I would have wanted to do, and I probably wouldn't 307 00:18:19,320 --> 00:18:22,520 Speaker 1: have gone through with it, And yeah, he's canceled in 308 00:18:22,560 --> 00:18:25,440 Speaker 1: my mind for life, but I do admire it. I 309 00:18:25,480 --> 00:18:28,440 Speaker 1: was fully expecting him to be masturbating. When you looked 310 00:18:30,160 --> 00:18:32,800 Speaker 1: where my mind went, I was, I was like, I 311 00:18:32,840 --> 00:18:34,560 Speaker 1: don't know how people think this. Maybe that was too 312 00:18:34,560 --> 00:18:37,280 Speaker 1: sad of a myth, but I do think that in general, 313 00:18:37,320 --> 00:18:39,800 Speaker 1: if you see someone you used to know and you're like, 314 00:18:39,960 --> 00:18:41,720 Speaker 1: I really have nothing to say to this person, just 315 00:18:41,760 --> 00:18:43,879 Speaker 1: see if you can make the mutual agreement to not 316 00:18:43,960 --> 00:18:48,480 Speaker 1: even say hi. Yeah, yeah, just always, always, always, I 317 00:18:48,640 --> 00:18:53,560 Speaker 1: straight ahead, pretend to get a phone call, Jack Brian 318 00:18:53,680 --> 00:19:07,800 Speaker 1: met call Hello, hello phone, Yeah it's me a different name. Sorry, 319 00:19:07,920 --> 00:19:11,600 Speaker 1: phone a phone call, one of those you know, hungry, 320 00:19:13,440 --> 00:19:17,119 Speaker 1: hungry for talkie. Uh, let's talk about Big Poppy real quick. 321 00:19:18,000 --> 00:19:23,280 Speaker 1: He was shot in the Dominican Republic a couple of 322 00:19:23,359 --> 00:19:28,280 Speaker 1: days ago. Now. The bullet entered his lower back, exited 323 00:19:28,359 --> 00:19:32,520 Speaker 1: through his abdomen. Took place at what was at first 324 00:19:32,600 --> 00:19:38,200 Speaker 1: referred to repeatedly as an entertainment center, which is fascinating furniture. 325 00:19:39,200 --> 00:19:42,159 Speaker 1: Furniture in these United States there that is what they 326 00:19:42,200 --> 00:19:47,439 Speaker 1: call barn lounge. But he underwent emergency surgery, was flown 327 00:19:47,520 --> 00:19:52,800 Speaker 1: to Boston and is being treated in one of the 328 00:19:52,840 --> 00:19:57,399 Speaker 1: better towns for medical care. They had to take a 329 00:19:57,440 --> 00:20:00,000 Speaker 1: piece of his gall bladder out some of his in tests, 330 00:20:00,840 --> 00:20:04,840 Speaker 1: but he seems to be making a recovery. If you're 331 00:20:04,880 --> 00:20:08,280 Speaker 1: not a sports fan, he is, you know, like he's 332 00:20:08,400 --> 00:20:12,520 Speaker 1: basically as close as if you've heard of the Robert 333 00:20:12,560 --> 00:20:15,040 Speaker 1: red For movie The Natural, where this dude just out 334 00:20:15,080 --> 00:20:19,200 Speaker 1: of nowhere starts like hitting home runs and like they're 335 00:20:19,240 --> 00:20:22,520 Speaker 1: always clutch, and he just hits home runs at will 336 00:20:22,640 --> 00:20:25,359 Speaker 1: when it's like the most dramatic moment, Like that's kind 337 00:20:25,359 --> 00:20:28,200 Speaker 1: of what David Ortiz was. He got traded from the Twins, 338 00:20:28,800 --> 00:20:32,240 Speaker 1: was not like a heralded player and then just became 339 00:20:32,320 --> 00:20:36,200 Speaker 1: like the greatest red sock in the history of Red Sox. 340 00:20:36,400 --> 00:20:38,359 Speaker 1: When I when I heard about this, I could just 341 00:20:38,480 --> 00:20:43,280 Speaker 1: hear my uncle's screaming in Boston, Oh my fucking god, 342 00:20:43,480 --> 00:20:55,520 Speaker 1: what's gonna happen this guy? This guy? But it was 343 00:20:55,640 --> 00:20:58,359 Speaker 1: It's also very crazy because they said that he was 344 00:20:58,400 --> 00:21:02,040 Speaker 1: shot from point blank rain in the back and it 345 00:21:02,119 --> 00:21:05,280 Speaker 1: came out through his stomach, So it's crazy. This person 346 00:21:05,359 --> 00:21:09,080 Speaker 1: was probably like aiming for his heart, but like such 347 00:21:09,119 --> 00:21:11,480 Speaker 1: a big guy, Like, how would you know where his heart? 348 00:21:12,680 --> 00:21:15,960 Speaker 1: It could be anywhere, it couldn't be anywhere. So I mean, 349 00:21:16,119 --> 00:21:18,200 Speaker 1: I imagine they said that he's like doing very well 350 00:21:18,240 --> 00:21:20,560 Speaker 1: and then he's predicted to just have a full recovery, 351 00:21:20,880 --> 00:21:23,359 Speaker 1: which it's like imagine being someone like bad, I'm getting 352 00:21:23,400 --> 00:21:31,600 Speaker 1: shot and just like, oh what was that early he 353 00:21:31,760 --> 00:21:33,960 Speaker 1: walks out of the park and he's like, well, this 354 00:21:34,760 --> 00:21:39,360 Speaker 1: ruined my night. Also one of my favorite Keening characters 355 00:21:39,400 --> 00:21:42,800 Speaker 1: on SNL Weekend Update when he does his impression a 356 00:21:42,880 --> 00:21:46,920 Speaker 1: big puppy and just says different foods over and over again. 357 00:21:47,160 --> 00:21:51,440 Speaker 1: I'm very glad he's okay. Yeah, I love that. So 358 00:21:51,520 --> 00:21:54,680 Speaker 1: he's really respected in the Dominican Republic. They love him 359 00:21:54,680 --> 00:21:56,920 Speaker 1: so much down there, and parently he gives back a lot. 360 00:21:56,920 --> 00:21:58,840 Speaker 1: He's like very philanthropic, but he's also like a man 361 00:21:58,920 --> 00:22:01,640 Speaker 1: of the people. Obviously just kicking it at this entertainment 362 00:22:01,640 --> 00:22:04,840 Speaker 1: center with no security. Um. But when he got shot 363 00:22:05,119 --> 00:22:11,200 Speaker 1: then a crowd commenced to beat the man who shot him. Yes, badly. 364 00:22:11,680 --> 00:22:16,000 Speaker 1: It is brutal. You have to keep reminding yourself, oh, 365 00:22:16,119 --> 00:22:20,359 Speaker 1: this guy just shopping poppy, Do not feel terrible about it? 366 00:22:20,440 --> 00:22:25,080 Speaker 1: Because he got his ass whooped. Okay, well that's yeah. 367 00:22:25,119 --> 00:22:28,200 Speaker 1: You can tell also that like in the security video 368 00:22:28,200 --> 00:22:30,439 Speaker 1: when the guy shoots him, that he has a sense 369 00:22:30,520 --> 00:22:32,320 Speaker 1: that he's going to get his ass kicked, because he 370 00:22:32,400 --> 00:22:35,000 Speaker 1: like shoots and runs like in one motion. He's like 371 00:22:35,920 --> 00:22:39,080 Speaker 1: like he's already scared before he shoots him. Uh, and 372 00:22:39,440 --> 00:22:43,840 Speaker 1: what a what a hit man? Why he's like holding 373 00:22:43,840 --> 00:22:52,560 Speaker 1: the gun with two fingers like I'm sorry, no, no, 374 00:22:55,119 --> 00:22:58,919 Speaker 1: oh my god, that will hurt. Nonreputable news sources are 375 00:22:58,960 --> 00:23:01,960 Speaker 1: reporting that this might have been in retaliation for an 376 00:23:01,960 --> 00:23:05,879 Speaker 1: affair the Big Poppy had with a drug kingpin's wife. 377 00:23:06,280 --> 00:23:09,240 Speaker 1: Um is not being reported in mainstream news sources because 378 00:23:09,359 --> 00:23:11,600 Speaker 1: that's not the sort of thing they would report. But 379 00:23:11,680 --> 00:23:14,679 Speaker 1: also it seems like somebody's going around and debting this 380 00:23:14,840 --> 00:23:17,800 Speaker 1: story because on the New York Post, when you read 381 00:23:18,080 --> 00:23:23,000 Speaker 1: the regular description of the of what happened, there's underneath 382 00:23:23,080 --> 00:23:26,359 Speaker 1: there's a story that says like Poppy allegedly shot in 383 00:23:26,440 --> 00:23:29,000 Speaker 1: retaliation for an affair with drug kingpin's wife. And when 384 00:23:29,000 --> 00:23:30,520 Speaker 1: you click on that, it takes you to a story 385 00:23:30,520 --> 00:23:34,200 Speaker 1: that doesn't mention that. So they haven't fixed the headline yet. 386 00:23:34,240 --> 00:23:41,399 Speaker 1: It's like these child Stars, twelve ways to see if 387 00:23:41,440 --> 00:23:47,000 Speaker 1: you have neck can nothing. What it was before the 388 00:23:47,000 --> 00:23:49,240 Speaker 1: new post is like, look, we're still gonna get the clicks. Okay, 389 00:23:49,640 --> 00:23:51,280 Speaker 1: we'll take the story down, but we're still going to 390 00:23:51,320 --> 00:23:57,119 Speaker 1: get the click. This one weird secret. Shout out to 391 00:23:57,160 --> 00:23:59,080 Speaker 1: Big Poppy though, because he must have like the Beyonce 392 00:23:59,240 --> 00:24:01,840 Speaker 1: publicist team, because I've only seen Beyonce I get something 393 00:24:01,840 --> 00:24:03,800 Speaker 1: squat from the internet. Everybody else has to kind of 394 00:24:03,800 --> 00:24:06,480 Speaker 1: write it Outum, this is I don't know, an unreputable 395 00:24:06,480 --> 00:24:08,520 Speaker 1: news source every now and then they get a right, Yeah, 396 00:24:08,560 --> 00:24:11,680 Speaker 1: I mean it's on like n J dot com and 397 00:24:12,359 --> 00:24:16,000 Speaker 1: mostly foreign news sources, so it would be it would 398 00:24:16,040 --> 00:24:19,320 Speaker 1: be an interesting aspect of that as long as just 399 00:24:19,359 --> 00:24:21,560 Speaker 1: because he's fine, I'm like, I guess that that is 400 00:24:22,200 --> 00:24:28,359 Speaker 1: an interesting story. I don't know. Yeah. The Dominican Republic, So, Lacy, 401 00:24:28,400 --> 00:24:30,119 Speaker 1: you were pointing out that there's been a bit of 402 00:24:30,119 --> 00:24:33,320 Speaker 1: a trend with Americans having a rough go and the 403 00:24:33,520 --> 00:24:37,080 Speaker 1: when visiting the Dominican Republic reasons which brings me to 404 00:24:37,480 --> 00:24:45,280 Speaker 1: is the d R canceled a recurring segment, so six 405 00:24:45,320 --> 00:24:48,680 Speaker 1: Americans have died mysteriously there in the past twelve months, um. 406 00:24:48,720 --> 00:24:52,480 Speaker 1: The death include like a California man um who apparently 407 00:24:53,280 --> 00:24:56,320 Speaker 1: drank a scotch at the hard Rock Hotel in pa 408 00:24:57,080 --> 00:25:01,040 Speaker 1: and then immediately fell ill and die. The scotch was 409 00:25:01,119 --> 00:25:05,240 Speaker 1: from a mini bar. Now, this seems like correlation not causation. 410 00:25:05,440 --> 00:25:07,720 Speaker 1: It seems like he had that drink and then died 411 00:25:07,760 --> 00:25:10,720 Speaker 1: of something. Now, see that's what I would think. But 412 00:25:10,920 --> 00:25:15,600 Speaker 1: then at another resort, the Bahia Principal Resort, there was 413 00:25:15,720 --> 00:25:19,119 Speaker 1: a woman named Yvette who also had a drink from 414 00:25:19,160 --> 00:25:23,560 Speaker 1: her mini bar, went to bed and never woke up. Yeah, 415 00:25:23,760 --> 00:25:26,000 Speaker 1: so that's like the second person who was drinking something 416 00:25:26,040 --> 00:25:27,680 Speaker 1: from a mini bar and then died. And there were 417 00:25:27,720 --> 00:25:29,720 Speaker 1: three people who were found dead and had fluid in 418 00:25:29,720 --> 00:25:35,320 Speaker 1: their lungs and respiratory failure and they like have nother bottles. Yeah, 419 00:25:35,880 --> 00:25:38,080 Speaker 1: you haven't no other proof like or not. I guess 420 00:25:38,119 --> 00:25:40,520 Speaker 1: like cause of death for these people. But these six 421 00:25:40,520 --> 00:25:43,240 Speaker 1: people all died in the past twelve months and people 422 00:25:43,320 --> 00:25:45,959 Speaker 1: have already kind of been This was actually all sourced 423 00:25:46,040 --> 00:25:48,199 Speaker 1: from CBS News because they kind of attacked this on 424 00:25:48,280 --> 00:25:50,160 Speaker 1: with the whole story of Big Poppy getting shot because 425 00:25:50,160 --> 00:25:52,680 Speaker 1: it's like, oh, another thing happening in the dr but 426 00:25:53,040 --> 00:25:55,080 Speaker 1: people there have been whispers of people being like, oh, 427 00:25:55,119 --> 00:25:56,919 Speaker 1: people were found dead in the d R again, Like 428 00:25:56,960 --> 00:26:01,120 Speaker 1: I guess we shouldn't go to the Dominican Republic anymore. Wow. Yeah, 429 00:26:01,200 --> 00:26:03,520 Speaker 1: And the U. S. State Department rates the Dominican Republic 430 00:26:03,560 --> 00:26:06,399 Speaker 1: at a level two out of four, urging visitors to 431 00:26:06,440 --> 00:26:09,400 Speaker 1: exercise increased caution, which is just like, don't drink from 432 00:26:09,400 --> 00:26:14,520 Speaker 1: your mini bar. In the mini bar would be the 433 00:26:14,560 --> 00:26:19,600 Speaker 1: safest because everything is sealed, right, like you cracked the 434 00:26:19,600 --> 00:26:22,280 Speaker 1: seal open and we got to look into like what 435 00:26:22,560 --> 00:26:25,840 Speaker 1: brands of stuff for people drinking because you would think, yeah, 436 00:26:25,880 --> 00:26:30,160 Speaker 1: like sealed drinks are safer. I think that the dr 437 00:26:30,200 --> 00:26:32,639 Speaker 1: should be canceled. I think we all should stop going 438 00:26:33,040 --> 00:26:36,159 Speaker 1: um because you're not really decrease the ticket sales to 439 00:26:36,280 --> 00:26:45,159 Speaker 1: go there, and then I'll go is not safe, okay 440 00:26:46,800 --> 00:26:50,400 Speaker 1: with a case of her own scotch was like forgod, 441 00:26:51,680 --> 00:26:54,360 Speaker 1: so like a lemonade. Stand alright, We're going to take 442 00:26:54,400 --> 00:26:57,639 Speaker 1: a quick break to check Kayak for tickets for the 443 00:26:57,680 --> 00:27:10,840 Speaker 1: Dominican Republic and we will be right back. And we're back. 444 00:27:11,440 --> 00:27:14,600 Speaker 1: And the n r A has been caught stealing money 445 00:27:14,680 --> 00:27:21,680 Speaker 1: from itself. Shocking. I know that as such an upstanding 446 00:27:22,160 --> 00:27:25,320 Speaker 1: I know, an organization that's overall stated motive is to 447 00:27:25,520 --> 00:27:29,240 Speaker 1: profit from the deaths of innocent people would be corrupt. 448 00:27:29,400 --> 00:27:34,119 Speaker 1: But they have been paying like so basically members of 449 00:27:34,119 --> 00:27:38,360 Speaker 1: their board have been getting paid exorbitant fees for things 450 00:27:38,640 --> 00:27:44,120 Speaker 1: like public outreach and firearms training. A former pro football 451 00:27:44,160 --> 00:27:48,119 Speaker 1: player who serves on the National Rifle Association board was 452 00:27:48,160 --> 00:27:53,360 Speaker 1: paid four hundred thousand dollars in recent years for those tasks, 453 00:27:53,440 --> 00:28:00,240 Speaker 1: public outreach and firearms training. Yeah problem or not? Get Yeah, 454 00:28:00,359 --> 00:28:09,119 Speaker 1: give that are a chance? Smiley face posting on Instagram, 455 00:28:10,480 --> 00:28:16,240 Speaker 1: that's right. Uh and there. This comes after the CEO 456 00:28:16,560 --> 00:28:19,240 Speaker 1: racked up hundreds of thousands of dollars and charges at 457 00:28:19,240 --> 00:28:23,040 Speaker 1: a Beverly Hills clothing boutique because you gotta look good, 458 00:28:23,160 --> 00:28:26,840 Speaker 1: as the CEO of you gotta look cute. Mostly if 459 00:28:26,840 --> 00:28:30,200 Speaker 1: he went to like Courty Kardashian store, if he was like, yeah, 460 00:28:30,280 --> 00:28:33,360 Speaker 1: like it's like a deeper scam. Yeah, it's like he's 461 00:28:33,400 --> 00:28:36,639 Speaker 1: just shopping too much at DASH, which if your shopping 462 00:28:36,640 --> 00:28:39,560 Speaker 1: at DASH, it's a scam. Yeah, they don't have clothes 463 00:28:39,600 --> 00:28:43,360 Speaker 1: in there, so it's an empty room that everyone's taking 464 00:28:43,400 --> 00:28:47,880 Speaker 1: selfies in. But overall spending on campaigns was down for 465 00:28:47,920 --> 00:28:50,959 Speaker 1: the NRN two thousand eighteen, so people were speculating that 466 00:28:51,000 --> 00:28:55,320 Speaker 1: this might mean that they are headed for trouble um 467 00:28:55,400 --> 00:28:59,960 Speaker 1: and yeah, they're just not an efficient or well run organization, 468 00:29:00,080 --> 00:29:02,720 Speaker 1: and don't give your money to them, even if you're 469 00:29:02,880 --> 00:29:06,600 Speaker 1: a terrible person and want to. Um. There's also the 470 00:29:06,640 --> 00:29:09,800 Speaker 1: fact that, uh so this is kind of a separate story, 471 00:29:09,840 --> 00:29:14,320 Speaker 1: but somewhat related, uh out of control, like that there 472 00:29:14,480 --> 00:29:17,440 Speaker 1: was the suicide rate was going up for the past 473 00:29:17,880 --> 00:29:24,200 Speaker 1: like fifteen twenty years, and particularly among middle aged white men. Uh. 474 00:29:24,520 --> 00:29:29,720 Speaker 1: And so once the economy recovered, it just kept going up. 475 00:29:30,200 --> 00:29:35,760 Speaker 1: And so they're like reasons like bad healthcare uh systems, 476 00:29:35,800 --> 00:29:38,080 Speaker 1: like a lot of the people just are uninsured, and 477 00:29:38,120 --> 00:29:41,400 Speaker 1: so like lack of mental health resources. Yeah, yeah, there's 478 00:29:41,400 --> 00:29:46,760 Speaker 1: like no local mental health resources in uh the states 479 00:29:46,840 --> 00:29:50,200 Speaker 1: that have some of the highest suicide rates, like Wyoming 480 00:29:50,280 --> 00:29:53,760 Speaker 1: in Alaska. But the other thing that they have is 481 00:29:53,840 --> 00:29:58,720 Speaker 1: some of the highest gun ownership. And it's just it's 482 00:29:58,760 --> 00:30:03,880 Speaker 1: not even like anybody who's paying attention to statistics of 483 00:30:03,960 --> 00:30:09,120 Speaker 1: gun ownership, and like suicide attempts with guns versus with 484 00:30:09,200 --> 00:30:13,520 Speaker 1: other methods, Like it's gun ownership leads directly to suicides 485 00:30:13,840 --> 00:30:17,840 Speaker 1: and like that. There was an article in Rolling Stone 486 00:30:18,120 --> 00:30:22,040 Speaker 1: about this sort of epidemic of suicides and uh, the 487 00:30:22,080 --> 00:30:26,560 Speaker 1: American West, and people will flip out if you talk 488 00:30:26,600 --> 00:30:31,560 Speaker 1: about solutions like gunlocks even which make it like take 489 00:30:31,680 --> 00:30:35,320 Speaker 1: eight to ten minutes to unlock the gun, so giving 490 00:30:35,360 --> 00:30:39,800 Speaker 1: you some time to think, right, right, yeah, like any unit, right, 491 00:30:40,000 --> 00:30:43,239 Speaker 1: and it's directly tied to like like class, like what 492 00:30:43,280 --> 00:30:46,200 Speaker 1: you're saying to I worked on a story for U 493 00:30:46,400 --> 00:30:49,400 Speaker 1: Playboy last year where it was all about like a 494 00:30:49,480 --> 00:30:55,440 Speaker 1: hike in suicide at mostly by gun in Aspen and 495 00:30:55,440 --> 00:30:58,600 Speaker 1: then like the ski resort towns of people who are 496 00:30:58,680 --> 00:31:01,760 Speaker 1: priced out of you know, they like lived in Aspen 497 00:31:01,800 --> 00:31:03,960 Speaker 1: when you could afford to and then they were priced out. 498 00:31:04,040 --> 00:31:07,840 Speaker 1: And the weird spin by the n r A to 499 00:31:07,920 --> 00:31:10,640 Speaker 1: be like it's the altitude, you're just the your error 500 00:31:10,720 --> 00:31:13,000 Speaker 1: is bad and that's but but it's it is like 501 00:31:13,040 --> 00:31:16,520 Speaker 1: there's a direct correlation to gun ownership and you know 502 00:31:16,760 --> 00:31:20,040 Speaker 1: fatality right, Yeah, it's truly evil, like the fact that 503 00:31:20,080 --> 00:31:23,320 Speaker 1: you can't get like the even though the statistics, like 504 00:31:23,360 --> 00:31:26,240 Speaker 1: you can just google and find statistics that make it 505 00:31:26,280 --> 00:31:30,120 Speaker 1: clear that there's a direct correlation between a gun ownership 506 00:31:30,160 --> 00:31:33,720 Speaker 1: and death by suicide, like they have like the n 507 00:31:33,800 --> 00:31:37,640 Speaker 1: r A has prevented the CDC from like publishing anything 508 00:31:37,840 --> 00:31:41,960 Speaker 1: on those statistics because they don't want things like that 509 00:31:42,000 --> 00:31:45,480 Speaker 1: to be evident. Now, if the campaigning, like if their 510 00:31:45,640 --> 00:31:48,400 Speaker 1: campaign funds or I guess the spending has gone down 511 00:31:48,440 --> 00:31:51,280 Speaker 1: in do we think that's because they don't have the 512 00:31:51,320 --> 00:31:53,240 Speaker 1: resources to do that same kind of campaign or do 513 00:31:53,240 --> 00:31:55,600 Speaker 1: we think it's because kind of like mass shootings are 514 00:31:55,680 --> 00:31:57,920 Speaker 1: campaigning for the n r A. Every time there's a 515 00:31:57,960 --> 00:32:00,680 Speaker 1: mass shooting, we're basically giving the n r A free press. 516 00:32:00,760 --> 00:32:02,840 Speaker 1: And since we decide to not do anything about it, it 517 00:32:02,720 --> 00:32:04,720 Speaker 1: it seems like the n r A is won every 518 00:32:04,720 --> 00:32:07,640 Speaker 1: single battle, right they sort of just continue to get 519 00:32:07,640 --> 00:32:10,000 Speaker 1: the press and nothing changes. Yeah, I do think that 520 00:32:10,040 --> 00:32:15,040 Speaker 1: they're hurt. They're being hurt some by uh, like the 521 00:32:15,080 --> 00:32:20,280 Speaker 1: Parkland shooting and the backlash against the Parkland shooting and 522 00:32:20,360 --> 00:32:23,400 Speaker 1: the n r A like so younger generations than r 523 00:32:23,440 --> 00:32:27,720 Speaker 1: A is extraordinarily unpopular. But it also made a lot 524 00:32:27,720 --> 00:32:30,800 Speaker 1: of other people donate more money. But um, it's tough. 525 00:32:30,840 --> 00:32:35,680 Speaker 1: They don't like make their finances super available or they 526 00:32:35,800 --> 00:32:39,240 Speaker 1: hide bad news behind a bunch of different things. But 527 00:32:39,320 --> 00:32:42,640 Speaker 1: it's speculated that it might be because they're actually becoming 528 00:32:42,760 --> 00:32:45,400 Speaker 1: less popular and so they have less money to donate, 529 00:32:45,480 --> 00:32:49,080 Speaker 1: because otherwise, like they would donate as much as they 530 00:32:49,120 --> 00:32:52,080 Speaker 1: possibly could. That's what they're there for. I mean that 531 00:32:52,080 --> 00:32:54,000 Speaker 1: would that would be my hope. But then also if 532 00:32:54,040 --> 00:32:58,440 Speaker 1: there's like siphoning and stealing happening, than what's that indicative of? 533 00:32:58,640 --> 00:33:01,360 Speaker 1: Either that they're profitable and it's like, oh, no one's 534 00:33:01,360 --> 00:33:04,680 Speaker 1: going to notice a little full hunted grand this little shop, 535 00:33:04,840 --> 00:33:06,680 Speaker 1: or it's like she is going under the soul. Let 536 00:33:06,680 --> 00:33:09,680 Speaker 1: me get mine before, right, Like, let's just all charge 537 00:33:09,680 --> 00:33:12,040 Speaker 1: it to the company before the company no longer exists, 538 00:33:12,520 --> 00:33:18,400 Speaker 1: which is also who hasn't taken a staple ower of 539 00:33:18,480 --> 00:33:28,520 Speaker 1: five out of business? It's let me at it. Think 540 00:33:28,560 --> 00:33:30,320 Speaker 1: of all, like the super deluxe hats I just have 541 00:33:30,480 --> 00:33:33,000 Speaker 1: at my house, it's like taking a box of them 542 00:33:33,840 --> 00:33:37,000 Speaker 1: and uh, something interesting that. I mean, this is sort 543 00:33:37,040 --> 00:33:39,840 Speaker 1: of related, but there I I have a friend who 544 00:33:40,200 --> 00:33:41,640 Speaker 1: is in the way I'm going to say it sounds 545 00:33:41,680 --> 00:33:44,200 Speaker 1: like I'm talking about myself. I'm not. Uh. I have 546 00:33:44,280 --> 00:33:47,080 Speaker 1: a friend who was struggling with O C. D and 547 00:33:47,760 --> 00:33:52,760 Speaker 1: her therapist created this incentive system for like, every time 548 00:33:53,040 --> 00:33:55,640 Speaker 1: that she would repeat a habit that was an O. C. 549 00:33:55,760 --> 00:33:57,320 Speaker 1: D habit she's trying to break, she would have to 550 00:33:57,880 --> 00:34:00,720 Speaker 1: donate a dollar to the n r A. Oh god, 551 00:34:01,160 --> 00:34:04,120 Speaker 1: she has broken so many Oh my god. It is 552 00:34:04,160 --> 00:34:07,640 Speaker 1: crazy that you can really use your hatred of the 553 00:34:07,800 --> 00:34:10,359 Speaker 1: n r A to in fact improve your life. If 554 00:34:10,400 --> 00:34:12,120 Speaker 1: you have to give a dollar to the n r 555 00:34:12,160 --> 00:34:15,000 Speaker 1: A every time you sunk up, wow, well fuck the 556 00:34:15,160 --> 00:34:19,640 Speaker 1: n RRA. Yeah. Yeahs been mots. Who is um diva laser? 557 00:34:22,840 --> 00:34:28,600 Speaker 1: That is? That is truly maybe the very first, uh 558 00:34:29,520 --> 00:34:32,239 Speaker 1: positive thing the n r A has ever been responsible for, 559 00:34:32,960 --> 00:34:36,160 Speaker 1: the very first positive. She's doing great. Yeah, it really 560 00:34:36,200 --> 00:34:40,799 Speaker 1: does sound like I'm talking about myself. She's doing amazing, 561 00:34:41,120 --> 00:34:45,080 Speaker 1: and she looks hot and just in time for summer. 562 00:34:45,400 --> 00:34:48,920 Speaker 1: You know. Um, there's a Rolling Stone article that I 563 00:34:49,000 --> 00:34:52,040 Speaker 1: was talking about before that has a bunch of information 564 00:34:52,400 --> 00:34:57,239 Speaker 1: on the correlation between gun ownership and suicides, and uh, 565 00:34:57,640 --> 00:34:59,600 Speaker 1: you know, this is an opportunity for me to bring 566 00:34:59,680 --> 00:35:04,600 Speaker 1: up the British cold gas study, because suicide is oftentimes 567 00:35:04,640 --> 00:35:09,120 Speaker 1: more opportunistic than people think. Uh. And one stat that 568 00:35:09,239 --> 00:35:11,480 Speaker 1: jumped out of me is that one third of suicide 569 00:35:11,560 --> 00:35:14,359 Speaker 1: in Utah, which is a high suicide rate, like one 570 00:35:14,400 --> 00:35:17,200 Speaker 1: of the top six states, happened during a fight with 571 00:35:17,320 --> 00:35:19,800 Speaker 1: a loved one. So somebody's like in a fight and 572 00:35:19,960 --> 00:35:23,279 Speaker 1: just goes and shoots themselves. Um. So, because he talked 573 00:35:23,280 --> 00:35:25,000 Speaker 1: about the cold gas study, we all have to take 574 00:35:25,040 --> 00:35:29,000 Speaker 1: a shot, right, Yes, that's right. Alright, let's talk about 575 00:35:29,120 --> 00:35:34,239 Speaker 1: all of the tremendous progress that Trump has made in Mexico. Um, 576 00:35:35,239 --> 00:35:38,520 Speaker 1: except he hasn't. I mean, I think this is mostly 577 00:35:38,600 --> 00:35:41,680 Speaker 1: well known at this point that he threatened all these tariffs. 578 00:35:42,760 --> 00:35:48,640 Speaker 1: The Republicans weren't thrilled with the idea of another trade war, uh, 579 00:35:48,760 --> 00:35:51,239 Speaker 1: and so he backed down, but he spun it as 580 00:35:51,280 --> 00:35:54,880 Speaker 1: a huge success and used a bunch of things that 581 00:35:55,280 --> 00:36:01,640 Speaker 1: Reichstag Barbie had already secured back during December uh negotiations, 582 00:36:01,920 --> 00:36:03,920 Speaker 1: and he was like, look at all these things we're 583 00:36:03,960 --> 00:36:09,919 Speaker 1: getting because of my tariff stuff. So that's still happening. Yeah. 584 00:36:10,880 --> 00:36:14,279 Speaker 1: I've just never seen someone so concerned with pr I 585 00:36:15,120 --> 00:36:18,200 Speaker 1: like more than actually doing the job of being the president. 586 00:36:18,239 --> 00:36:21,960 Speaker 1: And we were talking about that helicopter crash earlier before 587 00:36:22,040 --> 00:36:25,160 Speaker 1: we recorded in the fact that he just jumped on 588 00:36:25,280 --> 00:36:29,640 Speaker 1: it and was like, hey, our condolences. The Trump administration 589 00:36:29,760 --> 00:36:34,040 Speaker 1: stands ready to help you with this one person helicopter crash. 590 00:36:34,400 --> 00:36:37,239 Speaker 1: Also the Trump you mean the government. It was just 591 00:36:37,760 --> 00:36:43,839 Speaker 1: the Trump squad. Trump and Trump we trust. Oh god, 592 00:36:43,960 --> 00:36:49,840 Speaker 1: I'm giving him stuff now there. Um. So we talked 593 00:36:49,920 --> 00:36:53,799 Speaker 1: before about how Walmart was planning to automate a whole 594 00:36:53,840 --> 00:36:57,279 Speaker 1: bunch of their jobs and their stores, and they were 595 00:36:57,360 --> 00:37:05,200 Speaker 1: selling it as giving their human employees fun robot counterparts 596 00:37:05,280 --> 00:37:11,319 Speaker 1: to work with. Yeah, squad golls, guys, hashtag squad golls. Um. 597 00:37:11,840 --> 00:37:15,600 Speaker 1: But so I don't know, are you guys robotcop fans there? 598 00:37:16,080 --> 00:37:17,840 Speaker 1: I can't say. I'm I've never seen it. You've never 599 00:37:17,880 --> 00:37:20,840 Speaker 1: seen robotops. So a big part of it is that, 600 00:37:22,480 --> 00:37:25,840 Speaker 1: oh yeah, okay, that super sick and that is a 601 00:37:25,960 --> 00:37:29,360 Speaker 1: huge problem. These robots that Walmart is using are shooting 602 00:37:29,400 --> 00:37:33,120 Speaker 1: people's dicks off. No, but a big part of robotop 603 00:37:33,239 --> 00:37:36,879 Speaker 1: is like the human cops are like, robotop isn't real cop. 604 00:37:37,040 --> 00:37:39,799 Speaker 1: He's a robot. That guy, he shouldn't be on our 605 00:37:39,840 --> 00:37:43,319 Speaker 1: police force. That sort of thing. Nobody likes robotcop. It's 606 00:37:43,480 --> 00:37:46,160 Speaker 1: very Rudolph the Red Nose rangeers that, but at the 607 00:37:46,280 --> 00:37:48,759 Speaker 1: end they're like, oh he is a nice yeah, yeah 608 00:37:48,960 --> 00:37:51,279 Speaker 1: that everybody loves robotcop by the end, and they let 609 00:37:51,320 --> 00:37:53,160 Speaker 1: him play in all their reindeer games. I was just 610 00:37:53,200 --> 00:37:54,879 Speaker 1: thinking about. I was like, man, they're gonna be there's 611 00:37:54,880 --> 00:37:57,759 Speaker 1: gonna be a fucking like version of her for the 612 00:37:57,960 --> 00:38:00,839 Speaker 1: Walmart robot. They're like, I think I'm falling in love 613 00:38:02,520 --> 00:38:05,439 Speaker 1: and all my robots like actually I have thoughts too, 614 00:38:05,680 --> 00:38:09,720 Speaker 1: and like, no, you're stealing people's jobs. Are the Walmart 615 00:38:09,840 --> 00:38:14,719 Speaker 1: robots the wobots? There's an appall Wobot that's supposed to 616 00:38:14,760 --> 00:38:19,160 Speaker 1: be AI therapy and tried it. How does it work? 617 00:38:19,280 --> 00:38:24,919 Speaker 1: It's horrible, being like how do you feel? Not so good? 618 00:38:25,000 --> 00:38:27,319 Speaker 1: And it's like choose an option and it's like call 619 00:38:27,400 --> 00:38:35,640 Speaker 1: the Nationalist suicide hotline close app like options, Yeah, bad. 620 00:38:37,600 --> 00:38:40,000 Speaker 1: But are they going to be the greeters? Are they 621 00:38:40,000 --> 00:38:47,400 Speaker 1: going to be? Yeah? So janitors. Janitors scan items on 622 00:38:47,520 --> 00:38:51,759 Speaker 1: the shelves. So people are not thrilled with the fact 623 00:38:51,800 --> 00:38:55,320 Speaker 1: that Walmart lied to them, essentially and instead of like 624 00:38:55,520 --> 00:39:01,840 Speaker 1: hiring robot helpers to help their human counterpart, they fired people. 625 00:39:02,320 --> 00:39:06,960 Speaker 1: There's one Georgia Walmart that named their new robo floor scrubber, Freddie, 626 00:39:07,480 --> 00:39:09,920 Speaker 1: which sounds cute, but they actually named him after the 627 00:39:10,040 --> 00:39:14,279 Speaker 1: janitor who was fired and replaced with him. Bears his 628 00:39:14,440 --> 00:39:21,040 Speaker 1: name Freddie. God. Yeah, when Walmart said that the robots 629 00:39:21,080 --> 00:39:24,440 Speaker 1: were gonna help their other employees, they're gonna help him 630 00:39:24,520 --> 00:39:27,240 Speaker 1: find a new thing to do with his life. Like, look, Freddie, 631 00:39:27,360 --> 00:39:31,480 Speaker 1: you're immortal, now help him find the unemployment lie fred 632 00:39:32,040 --> 00:39:35,919 Speaker 1: And this article says that the robots have a couple 633 00:39:35,920 --> 00:39:39,320 Speaker 1: of kinks, like Freddie has been known to take quote 634 00:39:39,400 --> 00:39:43,719 Speaker 1: weird detours and is prone to quote nervous breakdowns. You know, 635 00:39:44,080 --> 00:39:48,920 Speaker 1: just normal robots stuff people. Yeah, exactly. Yeah. So they 636 00:39:49,520 --> 00:39:52,520 Speaker 1: said that the robots would free people's time up to 637 00:39:52,600 --> 00:39:55,200 Speaker 1: do more satisfying jobs, but now a lot of workers 638 00:39:55,239 --> 00:39:59,919 Speaker 1: are forced to basically babysit the robotic counterparts. So they're 639 00:40:00,040 --> 00:40:05,160 Speaker 1: basically training and maintaining machines that are being groomed to 640 00:40:05,360 --> 00:40:11,479 Speaker 1: replace them, which is probably super depressing. So I'm looking 641 00:40:11,480 --> 00:40:13,120 Speaker 1: at pictures of them now, I'm like, please say, they 642 00:40:13,160 --> 00:40:16,560 Speaker 1: don't have heads. Uh, they don't have heads. They look 643 00:40:16,760 --> 00:40:22,440 Speaker 1: like large vacuum cleaners. Store. If you're at Walmart and 644 00:40:22,520 --> 00:40:25,239 Speaker 1: you're training out one of these glorified room bus. Just 645 00:40:25,320 --> 00:40:29,520 Speaker 1: start programming some wild shit in there. Have freddy, you know, 646 00:40:29,840 --> 00:40:34,880 Speaker 1: drinking services, get them drunk like babies, aren't your friends, 647 00:40:35,040 --> 00:40:37,520 Speaker 1: and then see how quickly they get out of the store. 648 00:40:37,760 --> 00:40:41,560 Speaker 1: Right program Freddy to god, that is that is so 649 00:40:41,920 --> 00:40:45,799 Speaker 1: dystopian and upsetting because it's I mean, Walmart employees are 650 00:40:45,800 --> 00:40:52,600 Speaker 1: already so like historically underpaid and abused by and now yea, yeah, 651 00:40:52,640 --> 00:40:58,000 Speaker 1: that's why they're so extraordinarily profitable the way it's being 652 00:40:58,080 --> 00:41:03,080 Speaker 1: messaged to the employees from corporate headquarters. So they issued 653 00:41:03,120 --> 00:41:06,200 Speaker 1: an announcement last month, as I mentioned up top, titled 654 00:41:06,400 --> 00:41:09,520 Speaker 1: hashtag squad Goals uh, and the company said it would 655 00:41:09,520 --> 00:41:12,440 Speaker 1: be expanding its robot program and compared the machines to 656 00:41:12,560 --> 00:41:14,880 Speaker 1: the Star Wars Droid R two D two and Transformer 657 00:41:14,960 --> 00:41:18,400 Speaker 1: Optimist prime quote. Every hero needs a sidekick, and some 658 00:41:18,520 --> 00:41:23,600 Speaker 1: of the best have been automated. Um. So so you 659 00:41:23,680 --> 00:41:27,520 Speaker 1: think Michael Bay couldn't hurt the world more? Right? Um? 660 00:41:28,719 --> 00:41:33,160 Speaker 1: And in terms of how they're being received by customers, uh, 661 00:41:33,320 --> 00:41:38,800 Speaker 1: customers have reported being spooked by them. Uh. And because 662 00:41:39,400 --> 00:41:43,800 Speaker 1: we are garbage people, uh, people have been kicking, shoving, 663 00:41:43,840 --> 00:41:47,759 Speaker 1: and slapping the robots for no reason. Honestly, if that 664 00:41:47,880 --> 00:41:51,719 Speaker 1: gets the robots out and gets people jobs, back, slap 665 00:41:51,880 --> 00:41:53,640 Speaker 1: the ship out of the robot. Like, I don't know. 666 00:41:53,719 --> 00:41:55,279 Speaker 1: I listen if I get in a fight with a 667 00:41:55,400 --> 00:41:59,640 Speaker 1: robot as Walmart, right, the robot hit me first. Yeah, 668 00:41:59,760 --> 00:42:04,919 Speaker 1: we're improved. I've already pulled up on me Denial three. 669 00:42:05,440 --> 00:42:12,000 Speaker 1: One customer, probably in an opioid related incident quote, fell 670 00:42:12,080 --> 00:42:15,279 Speaker 1: asleep on top of Freddie, the floor scrubber, who just 671 00:42:15,400 --> 00:42:19,200 Speaker 1: continued traveling throughout the store with an unconscious man sprawled 672 00:42:19,239 --> 00:42:25,279 Speaker 1: on top of him. Um, so this is so dystopia. 673 00:42:25,320 --> 00:42:31,160 Speaker 1: I like my like, my aunt works at Walmart, and 674 00:42:31,320 --> 00:42:34,560 Speaker 1: like she's been I haven't spoken her since this like started, 675 00:42:34,600 --> 00:42:37,880 Speaker 1: but like there it's like she was worried about robots 676 00:42:37,960 --> 00:42:40,719 Speaker 1: taking her job and went back when I was like, 677 00:42:40,960 --> 00:42:45,480 Speaker 1: you're relaxed, You're fine, And now it's like, no, they're 678 00:42:45,520 --> 00:42:48,840 Speaker 1: out here. It's God, so many people are going to 679 00:42:48,880 --> 00:42:52,120 Speaker 1: lose their job to these shitty, scary things. I just 680 00:42:52,160 --> 00:42:56,239 Speaker 1: can't wait for the robots to unionize. Yeah, well, I 681 00:42:56,320 --> 00:42:59,440 Speaker 1: mean this is the plot of you know, movies like 682 00:43:00,120 --> 00:43:03,680 Speaker 1: I Robot also the name of the company that makes 683 00:43:03,800 --> 00:43:07,839 Speaker 1: room busts. Uh for some reason named it after an 684 00:43:07,840 --> 00:43:12,880 Speaker 1: Isaac Asimov story about robots who revolt, but yeah, but 685 00:43:12,960 --> 00:43:16,480 Speaker 1: also buy a room back it drive around your house 686 00:43:16,560 --> 00:43:19,560 Speaker 1: all day, I honestly want. The big issue that they're 687 00:43:19,600 --> 00:43:23,400 Speaker 1: having is how to allow robots to communicate with people, 688 00:43:23,560 --> 00:43:27,520 Speaker 1: because you can't have them talk because people will then 689 00:43:28,440 --> 00:43:31,840 Speaker 1: think that they can talk back, and robots don't speak 690 00:43:32,120 --> 00:43:35,919 Speaker 1: English good and so they're using road Runner style beat 691 00:43:35,960 --> 00:43:40,880 Speaker 1: beeps and the sound of reversing forklifts, which I'm sure 692 00:43:41,280 --> 00:43:45,440 Speaker 1: is very pleasant, pleasant making Yeah, like just making the 693 00:43:45,520 --> 00:43:50,000 Speaker 1: shopping experience at Walmart somehow even worse, as if like 694 00:43:50,120 --> 00:43:56,959 Speaker 1: the blinding like fluorescent and guilt is not enough. Ship. 695 00:43:58,400 --> 00:44:00,239 Speaker 1: All right, we're gonna take a quick break. We'll be 696 00:44:00,360 --> 00:44:14,399 Speaker 1: right back, and we're back. So Kevin Durant, Uh, it's 697 00:44:14,640 --> 00:44:19,160 Speaker 1: it's sports moment again. It's sports beat. Uh. And Kevin 698 00:44:19,239 --> 00:44:23,080 Speaker 1: Durant came back two nights ago in the NBA Finals 699 00:44:23,680 --> 00:44:27,239 Speaker 1: after people were speculating why didn't Katie play Game four 700 00:44:27,920 --> 00:44:31,120 Speaker 1: like he could have? I'm sure. Uh, So he came 701 00:44:31,160 --> 00:44:34,920 Speaker 1: back for Game five and people were saying, you know, 702 00:44:35,480 --> 00:44:38,000 Speaker 1: one of the top concerns when you have a calf injury, 703 00:44:38,120 --> 00:44:40,080 Speaker 1: which is what he was out with for the past 704 00:44:40,600 --> 00:44:43,520 Speaker 1: handful of games. Is that you have a weekend calf, 705 00:44:43,560 --> 00:44:47,880 Speaker 1: so you're putting added strain on your achilles tendon. And 706 00:44:48,719 --> 00:44:51,960 Speaker 1: so he started the game out five of five from 707 00:44:52,440 --> 00:44:54,520 Speaker 1: three point range, I think, or he started the game 708 00:44:54,560 --> 00:44:57,399 Speaker 1: off just like playing incredibly and looked like he hadn't 709 00:44:57,440 --> 00:45:00,080 Speaker 1: missed a beat. Uh, And then he crossed some he 710 00:45:00,200 --> 00:45:03,480 Speaker 1: up pushed off of his right foot, which is the 711 00:45:04,000 --> 00:45:06,080 Speaker 1: one that the hurt calf was on, and you could 712 00:45:06,200 --> 00:45:10,080 Speaker 1: literally see the achilles like snap in a close up 713 00:45:10,160 --> 00:45:14,600 Speaker 1: video because it's like they say, it's like just a 714 00:45:14,800 --> 00:45:18,520 Speaker 1: band that snaps, and like the tension like goes up 715 00:45:18,560 --> 00:45:20,800 Speaker 1: the leg and it feels like you've been like shot 716 00:45:21,040 --> 00:45:23,359 Speaker 1: or like kicked in the back of the foot. Uh, 717 00:45:23,600 --> 00:45:26,799 Speaker 1: and like that's he just like immediately went down. Uh. 718 00:45:27,600 --> 00:45:33,279 Speaker 1: But it was just I don't know, it was really upsetting. Uh. 719 00:45:33,840 --> 00:45:36,880 Speaker 1: Made me, I don't know, it it made me hate 720 00:45:37,000 --> 00:45:40,440 Speaker 1: the sports media complex even more than I already do 721 00:45:40,640 --> 00:45:42,840 Speaker 1: because of all the takes of people being like, what 722 00:45:43,040 --> 00:45:45,560 Speaker 1: isn't Katie coming back? He should just like play hurt, 723 00:45:45,800 --> 00:45:49,520 Speaker 1: and all the Bill Simmons is and the ringers of 724 00:45:49,600 --> 00:45:52,600 Speaker 1: the world talking shit about so Kawhi Leonard, who was 725 00:45:52,680 --> 00:45:55,600 Speaker 1: the best player on the other team. Uh sat out 726 00:45:55,680 --> 00:45:59,520 Speaker 1: last season because he didn't feel about his health and 727 00:45:59,640 --> 00:46:01,880 Speaker 1: like he like a muscle strain, and everybody was like, 728 00:46:02,040 --> 00:46:06,279 Speaker 1: why isn't he playing, and people like assumed that he 729 00:46:06,440 --> 00:46:09,440 Speaker 1: was just being lazy, And it turns out, no, when 730 00:46:09,520 --> 00:46:12,160 Speaker 1: these guys are hurt, they should be free to just 731 00:46:13,840 --> 00:46:18,080 Speaker 1: ll Yeah, and you know, he sat out most of 732 00:46:18,120 --> 00:46:22,279 Speaker 1: the season, came back and is now like playing better 733 00:46:22,400 --> 00:46:26,480 Speaker 1: than basically anybody in the league. But people, I don't know. 734 00:46:26,640 --> 00:46:29,520 Speaker 1: I mean, I'm sure who's to say if Kevin Durant 735 00:46:29,560 --> 00:46:31,839 Speaker 1: would have just come back anyways, even if there wasn't 736 00:46:31,880 --> 00:46:35,120 Speaker 1: speculation that the Warriors are like better without him or whatever. 737 00:46:35,280 --> 00:46:39,320 Speaker 1: But I just I hate I hate sports journalists career 738 00:46:39,520 --> 00:46:43,160 Speaker 1: ending injury, which is terrifying. Also, it's crazy that like 739 00:46:43,280 --> 00:46:45,359 Speaker 1: you're saying, like all these sports journalists were keusing him 740 00:46:45,360 --> 00:46:47,600 Speaker 1: of being lazy, and now that is completely flipped and 741 00:46:47,640 --> 00:46:50,360 Speaker 1: now people are like, who the f cleared Kevin Durant 742 00:46:50,440 --> 00:46:59,440 Speaker 1: to play? Dr Peppa? Who did this? Sports journalists and 743 00:47:00,160 --> 00:47:03,000 Speaker 1: journalists who speculate on the stock market are both like 744 00:47:03,360 --> 00:47:06,359 Speaker 1: comically just like they changed their take from one day 745 00:47:06,400 --> 00:47:08,640 Speaker 1: to the next, and we'll be like what idiot said that, 746 00:47:08,880 --> 00:47:11,000 Speaker 1: you can like show them videos them saying it, like 747 00:47:11,239 --> 00:47:17,160 Speaker 1: ten hours before like that Spider Man made like you are, um, 748 00:47:17,840 --> 00:47:20,279 Speaker 1: you know, as he was sitting there just you know, 749 00:47:20,560 --> 00:47:24,479 Speaker 1: just in shock on the court, there were a couple 750 00:47:24,480 --> 00:47:28,080 Speaker 1: of Raptors fans who were waving goodbye to him and 751 00:47:28,200 --> 00:47:32,880 Speaker 1: like clapping that he was injured, which was disgusting, but 752 00:47:33,080 --> 00:47:36,719 Speaker 1: it should be noted that, like, you know, as he 753 00:47:36,880 --> 00:47:40,480 Speaker 1: was leaving the court, you could there was actually like 754 00:47:40,680 --> 00:47:46,239 Speaker 1: overall the stadium was channing Kadie and you know, we're 755 00:47:46,440 --> 00:47:48,960 Speaker 1: we're basically being classy, and it was just a couple 756 00:47:49,560 --> 00:47:53,760 Speaker 1: people like I was rooting against them just nevertheless because 757 00:47:53,800 --> 00:47:57,400 Speaker 1: of that one person who was an asshole. And I 758 00:47:57,560 --> 00:47:59,880 Speaker 1: was also rooting against the Warriors before because of that 759 00:48:00,080 --> 00:48:02,920 Speaker 1: one person who was in the front row seats who 760 00:48:03,080 --> 00:48:05,560 Speaker 1: Kyle Lowry like fell next to and he like pushed 761 00:48:05,640 --> 00:48:09,080 Speaker 1: Kyle Lowry. Did you see that? Like and it's just 762 00:48:09,239 --> 00:48:12,920 Speaker 1: this like fifty year old like white guy just like 763 00:48:13,080 --> 00:48:16,080 Speaker 1: reaches over and like pushes him and like just look 764 00:48:16,560 --> 00:48:19,799 Speaker 1: and he literally looks like he's going yeah, like that's 765 00:48:20,760 --> 00:48:23,719 Speaker 1: it's just the wackiest thing ever. And it turned out 766 00:48:23,840 --> 00:48:28,320 Speaker 1: he was a minority owner of the Warriors. Your kid, No, 767 00:48:28,800 --> 00:48:34,040 Speaker 1: that's so petty and awful pathetic. So anyways, I've now 768 00:48:34,160 --> 00:48:36,719 Speaker 1: realized that it's the only people I hate are the 769 00:48:36,800 --> 00:48:40,440 Speaker 1: people who can afford courtside seats, So it's just rich sticks. 770 00:48:41,560 --> 00:48:44,960 Speaker 1: It seems like they're getting more ostentatious to about it, 771 00:48:45,080 --> 00:48:46,880 Speaker 1: because like it used to be, like I remember, the 772 00:48:46,920 --> 00:48:48,680 Speaker 1: biggest thing you would see was like Spike Y at 773 00:48:48,719 --> 00:48:50,360 Speaker 1: the NIXT Games and he'd have his hands on his 774 00:48:50,480 --> 00:48:52,920 Speaker 1: hips and we'd be like, oh, mama, Spikes out here mad. 775 00:48:53,080 --> 00:48:56,239 Speaker 1: And now I feel like every including Drake. I love you, Drake, 776 00:48:56,360 --> 00:48:58,200 Speaker 1: but also you've been doing a lot too, Like they're 777 00:48:58,239 --> 00:49:00,799 Speaker 1: all on the court, they're like talking ship Like when 778 00:49:01,200 --> 00:49:03,680 Speaker 1: I think you at a high school Basta show asked 779 00:49:03,719 --> 00:49:08,719 Speaker 1: down right doing. I'm okay with Drake because he has 780 00:49:08,760 --> 00:49:11,520 Speaker 1: a relationship with the players. He's like their friends. He 781 00:49:11,680 --> 00:49:16,560 Speaker 1: like pork okay, yeah, Jack, your friends don't come in 782 00:49:16,600 --> 00:49:18,480 Speaker 1: here and try to get onto Mike. Excuse me, Jack, Hello, 783 00:49:18,880 --> 00:49:22,200 Speaker 1: Hello Daily. Have you ever done a show where like 784 00:49:22,320 --> 00:49:25,800 Speaker 1: your friends come and they're like screen, they're like basically 785 00:49:25,920 --> 00:49:27,960 Speaker 1: heckling you at your own show. You're like, I think 786 00:49:28,160 --> 00:49:30,480 Speaker 1: you you you think you're doing something nice, but you 787 00:49:33,840 --> 00:49:37,279 Speaker 1: stop it. I don't know you now. On the other hand, 788 00:49:37,520 --> 00:49:40,520 Speaker 1: if my friend was Drake, I would be totally cool 789 00:49:40,560 --> 00:49:43,400 Speaker 1: with him coming in here and being that's true. I 790 00:49:43,440 --> 00:49:46,200 Speaker 1: mean President Obama saw Drake at a game and was like, Yo, Drake, 791 00:49:51,320 --> 00:49:55,239 Speaker 1: like that Drake up, that's very true. I would be like, 792 00:49:55,880 --> 00:49:59,160 Speaker 1: here and get on this microphone they want to. But 793 00:49:59,560 --> 00:50:06,560 Speaker 1: but then perfect that I was really um. But yeah, 794 00:50:06,640 --> 00:50:11,520 Speaker 1: then these dudes who are like owners and uh or 795 00:50:11,680 --> 00:50:14,480 Speaker 1: just like rich enough to afford at courtside seat at 796 00:50:14,719 --> 00:50:18,759 Speaker 1: the NBA game like feel entitled to like make themselves 797 00:50:18,800 --> 00:50:20,799 Speaker 1: a part of the thing. And it's just like that's 798 00:50:20,840 --> 00:50:24,279 Speaker 1: got to be infuriating for the players. Like whose kid 799 00:50:24,480 --> 00:50:27,120 Speaker 1: was it that grabbed a player? God? What was the 800 00:50:27,120 --> 00:50:29,920 Speaker 1: player's name? What was the player's name? Um, he's very popular. 801 00:50:30,000 --> 00:50:31,680 Speaker 1: He gets in trouble a lot because he's like always 802 00:50:31,719 --> 00:50:36,160 Speaker 1: doing crazy stuff. Crap, I can't give his Draymond maybe, no, no, no, 803 00:50:36,320 --> 00:50:38,640 Speaker 1: not Draymond. Oh my god, it's going to kill me. 804 00:50:38,920 --> 00:50:41,160 Speaker 1: There was a little kid who like grabbed his jersey, 805 00:50:41,239 --> 00:50:43,160 Speaker 1: he turned around and told the kid not to touch 806 00:50:44,040 --> 00:50:46,520 Speaker 1: there we go, yeah, and everyone was like Russell shouldn't 807 00:50:46,520 --> 00:50:52,200 Speaker 1: have done that, But it's like that kids. Let yeah, yeah, 808 00:50:52,480 --> 00:50:55,680 Speaker 1: I I feel bad for NBA players, like I I 809 00:50:55,800 --> 00:50:58,960 Speaker 1: know that's not like everybody's like they're there so rich, 810 00:50:59,239 --> 00:51:03,000 Speaker 1: but I I also think that they're very misunderstood and 811 00:51:03,440 --> 00:51:07,960 Speaker 1: highly criticized by people who really do not deserve to 812 00:51:08,040 --> 00:51:13,080 Speaker 1: be criticizing them. So yeah, anyways, Uh, it's cool because 813 00:51:13,239 --> 00:51:16,000 Speaker 1: pressure for k D and I get to cheer for 814 00:51:16,160 --> 00:51:18,320 Speaker 1: the Warriors for the first time in my and I 815 00:51:18,400 --> 00:51:23,200 Speaker 1: think we really need to remember is that usually when 816 00:51:23,239 --> 00:51:26,160 Speaker 1: you're at a basketball game, there's actually a zamboni nearby 817 00:51:29,160 --> 00:51:32,320 Speaker 1: of basketball stadiums double as hockey stadiums, and that is 818 00:51:32,800 --> 00:51:34,400 Speaker 1: worth keeping him. So at the end of the day, 819 00:51:34,480 --> 00:51:37,160 Speaker 1: there's always that. Yes, all right, guys, I wanted to 820 00:51:37,239 --> 00:51:40,319 Speaker 1: talk about a what we're calling the poor man's theory 821 00:51:40,400 --> 00:51:46,040 Speaker 1: of pop culture success. Scott Mendelssohn, who writes about box 822 00:51:46,160 --> 00:51:49,560 Speaker 1: office for I Think, Forbes and a couple other websites, 823 00:51:50,080 --> 00:51:53,080 Speaker 1: has published an article where he kind of proposed this 824 00:51:53,200 --> 00:51:57,600 Speaker 1: theory that Dark Phoenix, the X Men movie that just uh, 825 00:51:58,120 --> 00:52:01,400 Speaker 1: spera Super Tanks. It got it got beat by a 826 00:52:01,480 --> 00:52:06,920 Speaker 1: Secret Life of Pets too. Yeah, um, not even the 827 00:52:07,000 --> 00:52:13,200 Speaker 1: good Secret Life of Pets can right. His theory is 828 00:52:13,400 --> 00:52:16,040 Speaker 1: that it failed, probably because it wasn't that good, but 829 00:52:16,160 --> 00:52:21,839 Speaker 1: also because Avengers Endgame had already sort of satisfied that itch, 830 00:52:22,120 --> 00:52:24,640 Speaker 1: which that wasn't the most convincing one, but he also 831 00:52:24,719 --> 00:52:27,879 Speaker 1: pointed out a couple other examples. I think the most 832 00:52:28,200 --> 00:52:33,000 Speaker 1: convincing example is that Star Trek movies were really successful 833 00:52:33,880 --> 00:52:36,400 Speaker 1: the first couple of times when they came back, and J. J. 834 00:52:36,480 --> 00:52:38,960 Speaker 1: Abrams was basically stealing the plot from the first Star 835 00:52:39,040 --> 00:52:42,360 Speaker 1: Wars and just like making them about Captain Kirk, Like, 836 00:52:42,480 --> 00:52:47,120 Speaker 1: those were really successful. But then when uh, the Star 837 00:52:47,200 --> 00:52:50,520 Speaker 1: Wars movies actually came back, like basically saying the Star 838 00:52:50,640 --> 00:52:54,040 Speaker 1: Trek movies were the closest we could get to new 839 00:52:54,120 --> 00:52:56,680 Speaker 1: Star Wars movies back then. But the second The Fourth 840 00:52:56,680 --> 00:53:00,640 Speaker 1: Awakens came out, the second The Force Awakened, Star Trek 841 00:53:00,719 --> 00:53:03,399 Speaker 1: movies just died. There was a third one that came 842 00:53:03,400 --> 00:53:05,640 Speaker 1: out that was like even more critically acclaimed to them 843 00:53:05,680 --> 00:53:08,600 Speaker 1: the first two, and nobody went and saw it because 844 00:53:09,200 --> 00:53:12,359 Speaker 1: you know, it's just like genre burnout. Yeah, and it's 845 00:53:12,640 --> 00:53:16,600 Speaker 1: almost like more specific than genre, and it's like they're 846 00:53:16,680 --> 00:53:19,560 Speaker 1: too similar. Like the other example he's talking about is 847 00:53:19,680 --> 00:53:24,400 Speaker 1: that Godzilla movies haven't done very well, and they've probably 848 00:53:24,440 --> 00:53:27,880 Speaker 1: been greenlit because the Jurassic Park franchise came back and 849 00:53:28,000 --> 00:53:32,200 Speaker 1: is doing so well, but because Jurassic Park movies are 850 00:53:32,640 --> 00:53:35,440 Speaker 1: kind of more interesting than Godzilla movies, are like more 851 00:53:35,560 --> 00:53:40,640 Speaker 1: built for the modern modern culture. Uh, Godzilla movies don't 852 00:53:40,800 --> 00:53:44,759 Speaker 1: do as well as they would if there was no 853 00:53:44,920 --> 00:53:48,520 Speaker 1: Jurassic Park movies. So it's it's almost like the movie 854 00:53:48,600 --> 00:53:51,359 Speaker 1: studios green light these movies because they're like, well, look, 855 00:53:51,440 --> 00:53:55,920 Speaker 1: it's a it's another Conic Book movie with an ensemble cast, 856 00:53:56,040 --> 00:53:59,000 Speaker 1: and we know those do well because of Avengers. But 857 00:53:59,200 --> 00:54:03,279 Speaker 1: then they don't do well because of Avengers, because you know, 858 00:54:04,160 --> 00:54:09,480 Speaker 1: they can't both exist because Avengers just came out. Crazy 859 00:54:09,600 --> 00:54:12,319 Speaker 1: thing that happened though in two thousand six, and I'll 860 00:54:12,360 --> 00:54:17,719 Speaker 1: never forget this, Uh, the Illusionist and the Prestige. And 861 00:54:17,840 --> 00:54:20,560 Speaker 1: what was crazy about this was that The Illusionist came 862 00:54:20,600 --> 00:54:23,400 Speaker 1: out first in August eighteen, two thousand six, and it 863 00:54:23,640 --> 00:54:26,040 Speaker 1: didn't do as well as the Prestige that came out 864 00:54:26,120 --> 00:54:29,480 Speaker 1: October twenty, two thousand six, So the same movie came 865 00:54:29,560 --> 00:54:32,960 Speaker 1: back out again, but this time it had Hugh Jackman 866 00:54:33,040 --> 00:54:36,719 Speaker 1: and it was by Christopher Nolan. It was a much 867 00:54:36,760 --> 00:54:41,640 Speaker 1: better around Halloween like this Magic time. So I mean 868 00:54:41,719 --> 00:54:44,720 Speaker 1: that happens a lot. It's called, like I think in business, 869 00:54:44,800 --> 00:54:47,760 Speaker 1: they call it the second mover advantage, where like Google 870 00:54:48,440 --> 00:54:51,920 Speaker 1: perfected what I think Netscape or like some other company 871 00:54:52,000 --> 00:54:54,959 Speaker 1: that nobody remembers was doing it, like made the better 872 00:54:55,160 --> 00:54:59,600 Speaker 1: version of the thing. Oreos was actually a rip off 873 00:54:59,760 --> 00:55:02,480 Speaker 1: of I Drops, not the other way around. Oreos came 874 00:55:02,560 --> 00:55:05,799 Speaker 1: second and just did it better. And we're owned by 875 00:55:05,840 --> 00:55:08,400 Speaker 1: a bigger company. And I think this is also an 876 00:55:08,440 --> 00:55:11,279 Speaker 1: interesting way to think about like movie stars careers, or 877 00:55:11,320 --> 00:55:14,160 Speaker 1: at least actors. I don't know if these people qualify 878 00:55:14,200 --> 00:55:16,919 Speaker 1: as movie stars. I think we talked about the fact 879 00:55:16,960 --> 00:55:20,440 Speaker 1: that milacuna Is basically had the career that Rachel Bilson 880 00:55:20,640 --> 00:55:23,320 Speaker 1: was going to have, Like after the o C everybody 881 00:55:23,400 --> 00:55:26,120 Speaker 1: was like, Rachel Bilson's about to blow up, and then 882 00:55:26,640 --> 00:55:32,120 Speaker 1: Milacunas came and just took all those roles. Yeah, we're 883 00:55:32,120 --> 00:55:34,400 Speaker 1: trying to think about the examples like Krry Russell had 884 00:55:34,440 --> 00:55:37,480 Speaker 1: the career that Rebecca Gayheart was supposed to have, and 885 00:55:37,719 --> 00:55:41,799 Speaker 1: um Ila Fisher is I don't know. Oh yeah, yeah, 886 00:55:41,880 --> 00:55:47,200 Speaker 1: Jenna Fisher, Isla Fisher and Amy Adams took all their work. Yeah, 887 00:55:47,200 --> 00:55:49,320 Speaker 1: she took all their jobs. To be fair, she is 888 00:55:49,480 --> 00:55:52,440 Speaker 1: better than the other two, right, yeah, No, I think 889 00:55:52,480 --> 00:55:58,000 Speaker 1: that's funny. She's good. I always confused now, and maybe 890 00:55:58,000 --> 00:55:59,719 Speaker 1: it's just actors I confused for each other, but I 891 00:56:00,160 --> 00:56:04,879 Speaker 1: truly Naomi Watts and Siana Miller. I I wouldn't tell 892 00:56:04,880 --> 00:56:08,120 Speaker 1: you there's fifteen years of partner age, I have no Yeah, 893 00:56:08,320 --> 00:56:11,160 Speaker 1: but which one is older? You don't know. But Naomi 894 00:56:11,320 --> 00:56:13,080 Speaker 1: is getting the jobs, right. I think the name is 895 00:56:13,080 --> 00:56:14,680 Speaker 1: getting because I think the only thing I know about 896 00:56:14,680 --> 00:56:16,400 Speaker 1: Sianna Miller is that she used to be with um. 897 00:56:19,160 --> 00:56:25,400 Speaker 1: I thought that was named Watts. Never um yeah, it's interesting, 898 00:56:25,719 --> 00:56:28,719 Speaker 1: uh a hose Nie. It was pointing out that there's 899 00:56:28,760 --> 00:56:32,919 Speaker 1: a guy named Matt Baumer whose name you probably haven't heard. 900 00:56:33,000 --> 00:56:37,400 Speaker 1: Because Henry Cavill has been getting all the work and 901 00:56:37,520 --> 00:56:42,560 Speaker 1: looks exactly like looks exactly like Cavill sucks too. If 902 00:56:42,680 --> 00:56:45,040 Speaker 1: I were him, I would just start saying I was 903 00:56:45,160 --> 00:56:48,440 Speaker 1: the other guy showing up at all. This was like, hey, 904 00:56:48,480 --> 00:56:53,600 Speaker 1: it's me Henry, just or he could just be like, 905 00:56:53,719 --> 00:56:56,360 Speaker 1: you know how you like looking at Henry Cavill, but 906 00:56:56,480 --> 00:56:59,239 Speaker 1: you don't like watching him perform. Here's where I come. 907 00:57:00,640 --> 00:57:03,200 Speaker 1: You know how you like Henry Cavill, but you can't 908 00:57:03,200 --> 00:57:07,520 Speaker 1: afford him me cheaper Henry. I will change my name 909 00:57:07,560 --> 00:57:14,120 Speaker 1: to Henry Cavil with an eye at the end. I'm 910 00:57:14,280 --> 00:57:17,959 Speaker 1: just the you know, the rich man's Henry Cavill. Something 911 00:57:18,040 --> 00:57:21,200 Speaker 1: I always a video essay I've I've seen a couple 912 00:57:21,240 --> 00:57:23,480 Speaker 1: of times that I like about. It's a little more 913 00:57:23,520 --> 00:57:26,200 Speaker 1: about genre burnout and is a little bit less specific, 914 00:57:26,840 --> 00:57:29,960 Speaker 1: but um was sort of drawing the same comparison to 915 00:57:30,160 --> 00:57:34,880 Speaker 1: what she predicted was going to be eventual superhero burnout, 916 00:57:34,880 --> 00:57:37,160 Speaker 1: because I feel like people have been like predicting superhero 917 00:57:37,280 --> 00:57:41,320 Speaker 1: burnout is going to happen four years and uh, Lindsay 918 00:57:41,400 --> 00:57:44,840 Speaker 1: Ellis made a really good video essay about how people 919 00:57:44,920 --> 00:57:47,680 Speaker 1: got burned out on like the big budget Hollywood movie 920 00:57:47,800 --> 00:57:51,800 Speaker 1: musical in like the same way when Hello Dolly came out, 921 00:57:51,960 --> 00:57:54,160 Speaker 1: and like I think it was like the late sixties 922 00:57:54,280 --> 00:57:57,840 Speaker 1: and no, like there were just too many. It was 923 00:57:57,920 --> 00:58:00,120 Speaker 1: a really expensive one with big stars that was us 924 00:58:00,160 --> 00:58:02,840 Speaker 1: to do really well. It tanked and then basically no 925 00:58:03,000 --> 00:58:06,880 Speaker 1: musicals came out for like twenty years. And you know, 926 00:58:06,960 --> 00:58:09,200 Speaker 1: I wouldn't I wouldn't hate if that happened. I don't. 927 00:58:09,280 --> 00:58:12,920 Speaker 1: I don't know. It makes sense, Like I don't really 928 00:58:13,000 --> 00:58:14,800 Speaker 1: care either way, but it makes sense that people are 929 00:58:14,800 --> 00:58:18,560 Speaker 1: getting it was such a specific like and this ends. 930 00:58:20,760 --> 00:58:25,360 Speaker 1: But that that is inefficiency. That is the something that 931 00:58:25,520 --> 00:58:29,640 Speaker 1: Hollywood sucks at is they just pay attention to whatever 932 00:58:29,920 --> 00:58:32,960 Speaker 1: the most recent one is, rather than being like, Okay, 933 00:58:33,200 --> 00:58:35,520 Speaker 1: that tanked because we had too many of them too 934 00:58:35,640 --> 00:58:38,320 Speaker 1: close and this was derivative of the other ones. But 935 00:58:38,400 --> 00:58:42,240 Speaker 1: if we did another big movie musical, uh, and like 936 00:58:42,400 --> 00:58:45,760 Speaker 1: made it different in some way and made it grease, 937 00:58:46,080 --> 00:58:49,680 Speaker 1: then it'll it'll be right grease in space. I think 938 00:58:49,760 --> 00:58:53,080 Speaker 1: that also happens because these movies are being produced so 939 00:58:53,240 --> 00:58:56,160 Speaker 1: many years ahead of time, so it's like you don't 940 00:58:56,280 --> 00:58:58,840 Speaker 1: realize that something's going to tank until it tanks, and 941 00:58:59,000 --> 00:59:01,840 Speaker 1: you have already had something in production for four years, 942 00:59:02,240 --> 00:59:03,960 Speaker 1: so it's got to come out and you've spent all 943 00:59:04,000 --> 00:59:05,480 Speaker 1: this money on it, but it just isn't going to 944 00:59:05,560 --> 00:59:07,400 Speaker 1: do as well. I don't think Hollywood's ever been very 945 00:59:07,400 --> 00:59:10,440 Speaker 1: good at forecasting. And when you're, you know, shooting a 946 00:59:10,520 --> 00:59:12,480 Speaker 1: movie that's so complex and has so much C, G 947 00:59:12,600 --> 00:59:14,120 Speaker 1: I and stuff that it takes like three or four 948 00:59:14,200 --> 00:59:17,200 Speaker 1: years to make, then you kind of need a little foresight. 949 00:59:17,440 --> 00:59:20,280 Speaker 1: And sometimes there is enough of an appetite for both 950 00:59:20,360 --> 00:59:22,680 Speaker 1: of the things, Like Army Geddon in Deep Impact came 951 00:59:22,680 --> 00:59:25,400 Speaker 1: out the same year and they were both pretty successful movie. 952 00:59:25,400 --> 00:59:30,040 Speaker 1: I mean, Army Geddon was incredibly successful, but Impact successful. 953 00:59:30,120 --> 00:59:33,080 Speaker 1: I like armag I like that. That's the only movie 954 00:59:33,440 --> 00:59:36,280 Speaker 1: unless Nancy Sinatra has ever done this where like the 955 00:59:36,480 --> 00:59:40,360 Speaker 1: girl like a daughter is fucking to her dad's song. Uh, 956 00:59:42,480 --> 00:59:43,960 Speaker 1: you don't want to miss a thing, and you're just 957 00:59:44,080 --> 00:59:49,000 Speaker 1: like this feels wrong. Yeah, dad, I don't want to 958 00:59:49,040 --> 00:59:52,520 Speaker 1: miss a thing. And your father's voice being like this 959 00:59:52,760 --> 01:00:02,280 Speaker 1: is so cool. I think that's the time. Yeah. I 960 01:00:02,320 --> 01:00:06,320 Speaker 1: wonder if like Genuine's Daughter or something like, you know, 961 01:00:06,480 --> 01:00:11,280 Speaker 1: somebody who's parents made like a really like classic like 962 01:00:11,920 --> 01:00:18,680 Speaker 1: just Verry White daughter. Please turn this off. I mean, 963 01:00:18,760 --> 01:00:21,680 Speaker 1: anyone's kids. You're just like this, You've really killed I 964 01:00:21,800 --> 01:00:25,080 Speaker 1: feel like you have to go home. Yeah. Bill Pullman 965 01:00:25,120 --> 01:00:31,120 Speaker 1: and Bill Paxson both there was enough for both of them, Uh, 966 01:00:31,600 --> 01:00:36,000 Speaker 1: for two white vaguely handsome bills in the middle of 967 01:00:36,680 --> 01:00:39,120 Speaker 1: I do I do like them both? You see Bill 968 01:00:39,240 --> 01:00:43,080 Speaker 1: Pullman in the center. Yeah, I've heard great things, so 969 01:00:43,400 --> 01:00:47,160 Speaker 1: like a weirdly sexy performance is weird? Really? Yeah, there's 970 01:00:47,200 --> 01:00:49,280 Speaker 1: also the argument for Dark Phoenix that I feel like, 971 01:00:49,600 --> 01:00:52,480 Speaker 1: um like all the any potential burnout aside, like it 972 01:00:52,600 --> 01:00:54,280 Speaker 1: was just a movie that had a lot of reshoots 973 01:00:54,920 --> 01:00:57,760 Speaker 1: and it sounds like it just like if it was great, 974 01:00:58,000 --> 01:01:02,760 Speaker 1: maybe people would be seen it. I don't know. Yeah, yeah, cool. Well, Jamie, Uh, 975 01:01:02,920 --> 01:01:07,520 Speaker 1: it's been a pleasure of having you as always. Where 976 01:01:07,600 --> 01:01:10,720 Speaker 1: can people find you? You can find me on Twitter 977 01:01:10,840 --> 01:01:14,000 Speaker 1: dot com at Jamie left as Help uh, Instagram at 978 01:01:14,040 --> 01:01:18,120 Speaker 1: Jamie christ Superstar. Listen to the Bechtel Cast. I'll be 979 01:01:18,400 --> 01:01:21,520 Speaker 1: in London and Scotland all summer doing my show Boss 980 01:01:21,560 --> 01:01:24,360 Speaker 1: Houmas Girl. And to everyone who's been asking where the 981 01:01:24,440 --> 01:01:26,560 Speaker 1: ticket links are for the London show, I don't know 982 01:01:27,000 --> 01:01:29,880 Speaker 1: that they'll they'll be there soon and I'll I'll let 983 01:01:29,960 --> 01:01:32,560 Speaker 1: you know when I have them. Keep googling. Yes, thank 984 01:01:32,600 --> 01:01:34,800 Speaker 1: you for wanting to go though. Is there a tweet 985 01:01:34,800 --> 01:01:37,760 Speaker 1: you've been enjoying? Yes? There is what I find to 986 01:01:37,840 --> 01:01:41,600 Speaker 1: be a really sprawling epic tweet from my friend George 987 01:01:41,760 --> 01:01:45,960 Speaker 1: Severis Um, who is a queer New York comic, who 988 01:01:46,240 --> 01:01:51,160 Speaker 1: posted something so funny on for for a Pride Weekend 989 01:01:51,320 --> 01:01:56,840 Speaker 1: about UM brands. And it's a notes app tweet. So 990 01:01:57,200 --> 01:02:00,240 Speaker 1: the first picture is Um him wearing his what that 991 01:02:00,240 --> 01:02:03,560 Speaker 1: says gay and stupid. The next is the note that 992 01:02:03,840 --> 01:02:05,920 Speaker 1: saying the first time I had a stupid thought, I 993 01:02:05,960 --> 01:02:07,720 Speaker 1: didn't have a word for it. I grew up in 994 01:02:07,760 --> 01:02:11,040 Speaker 1: a family that had been rooted in toxic intelligence for generations. 995 01:02:11,560 --> 01:02:14,720 Speaker 1: My parents could never see past the vicious cycle of reading, learning, 996 01:02:14,800 --> 01:02:17,439 Speaker 1: and then seeking out more knowledge. From a young age, 997 01:02:17,480 --> 01:02:19,840 Speaker 1: I knew I was different. My sisters dreamed of being 998 01:02:19,880 --> 01:02:22,320 Speaker 1: doctors and lawyers. I dreamed of partnering with brands to 999 01:02:22,400 --> 01:02:25,080 Speaker 1: raise awareness. When I told my parents I was gay, 1000 01:02:25,160 --> 01:02:27,400 Speaker 1: they said, does this mean you will finally start having 1001 01:02:27,480 --> 01:02:30,640 Speaker 1: complicated thoughts and or interrogating the world around you? I 1002 01:02:30,800 --> 01:02:32,800 Speaker 1: was crushed. I felt like I had stepped out of 1003 01:02:32,880 --> 01:02:36,240 Speaker 1: one closet and into another. It wasn't until college that 1004 01:02:36,280 --> 01:02:38,560 Speaker 1: I found a community of like minded gay men who 1005 01:02:38,640 --> 01:02:40,880 Speaker 1: taught me that I don't have to be a writer, artist, 1006 01:02:41,040 --> 01:02:44,040 Speaker 1: or employed just because I'm gay. Today I can finally 1007 01:02:44,120 --> 01:02:49,560 Speaker 1: say it, I am stupid. So much Queer representation in 1008 01:02:49,680 --> 01:02:53,479 Speaker 1: media centers around people who are witty and can form 1009 01:02:53,520 --> 01:02:57,520 Speaker 1: a sentence. Pride can be especially difficult. Everywhere I turned, 1010 01:02:57,600 --> 01:03:01,280 Speaker 1: someone is interpreting something or putting things in the historical context. 1011 01:03:01,760 --> 01:03:04,280 Speaker 1: For years I nodded along, afraid to speak up. But 1012 01:03:04,360 --> 01:03:07,880 Speaker 1: I am tired of hiding. Stupid is beautiful. Words don't 1013 01:03:07,920 --> 01:03:14,920 Speaker 1: mean anything. Ads are bay, Katy Perry is good. I 1014 01:03:15,000 --> 01:03:17,680 Speaker 1: am here, I am queer, I am a fucking idiot, 1015 01:03:17,800 --> 01:03:26,520 Speaker 1: and I'm never hiding again. At George Severs, please follow him. 1016 01:03:26,640 --> 01:03:30,680 Speaker 1: C I V E R I S as are by 1017 01:03:30,800 --> 01:03:36,600 Speaker 1: Katy Perry is good. H lazy? Where? Okay? Before I 1018 01:03:36,640 --> 01:03:38,640 Speaker 1: tell you where you can find me. Jack shamed me 1019 01:03:38,720 --> 01:03:41,600 Speaker 1: at the beginning for not having an A, and I'm 1020 01:03:41,600 --> 01:03:50,520 Speaker 1: gonna do an a. K here we go me far 1021 01:03:51,560 --> 01:04:00,080 Speaker 1: who ever you are, I'll receive value. Wilets with on 1022 01:04:01,800 --> 01:04:10,960 Speaker 1: once more you, oh man. That fore mostly the scam artist. 1023 01:04:11,640 --> 01:04:18,000 Speaker 1: My con with go on for reb There you go, 1024 01:04:18,640 --> 01:04:22,160 Speaker 1: little picture, little pure. It was a little pitch. It 1025 01:04:22,360 --> 01:04:32,720 Speaker 1: was okay. I wasn't ready to sing. It was pitchy. 1026 01:04:32,840 --> 01:04:34,960 Speaker 1: It's fine. Randy Jack O'Brien. Do you guys know I 1027 01:04:35,080 --> 01:04:39,800 Speaker 1: can sing from Gang from just T DC A K. 1028 01:04:40,040 --> 01:04:42,320 Speaker 1: So thank you, Tray Gang. I love you, guys. Um 1029 01:04:43,200 --> 01:04:44,960 Speaker 1: where can you find me? You can find me on 1030 01:04:45,480 --> 01:04:48,320 Speaker 1: all platforms at d I V A l A c 1031 01:04:48,600 --> 01:04:52,320 Speaker 1: I DVA Lacey. That's on Instagram, that's on the twitters, 1032 01:04:52,680 --> 01:04:55,280 Speaker 1: and you know all the other places. Gonna like guys, 1033 01:04:55,560 --> 01:04:58,000 Speaker 1: July tenth, I'll be here probably more to promote this, 1034 01:04:58,080 --> 01:05:01,440 Speaker 1: but July tenth on Popped. If you love Ships Creek, 1035 01:05:01,520 --> 01:05:04,440 Speaker 1: you should start watching Florida Girls. I am an elite 1036 01:05:04,520 --> 01:05:07,520 Speaker 1: on that show and it's very fun and very crazy. 1037 01:05:07,840 --> 01:05:09,320 Speaker 1: You can always see me at U C B if 1038 01:05:09,360 --> 01:05:11,160 Speaker 1: you live in l A on the Harold team we 1039 01:05:11,400 --> 01:05:15,520 Speaker 1: Roight and the Mod team Donna Tella. Oh. If you're 1040 01:05:15,560 --> 01:05:18,120 Speaker 1: in New York on Sunday, you should come to ask 1041 01:05:18,200 --> 01:05:20,280 Speaker 1: at three thousand at seven thirty because I'll be doing 1042 01:05:20,320 --> 01:05:25,800 Speaker 1: them all. Yeah what a girl. Also, Um, scam God 1043 01:05:26,080 --> 01:05:28,640 Speaker 1: is coming out, guys. I swear to God, please stop 1044 01:05:28,720 --> 01:05:31,080 Speaker 1: getting mad at me on the scam God is Instagram. 1045 01:05:31,600 --> 01:05:33,720 Speaker 1: I will have updates for you, I think at the 1046 01:05:33,800 --> 01:05:37,560 Speaker 1: end of this week. All right. Uh, there a you've 1047 01:05:37,560 --> 01:05:41,640 Speaker 1: been enjoying. Yes, tweets that I have been enjoying. Okay, 1048 01:05:41,840 --> 01:05:44,680 Speaker 1: here's one. You can't call me daddy and expect me 1049 01:05:44,800 --> 01:05:47,320 Speaker 1: to disappear after you block me. I'm no dead beat. 1050 01:05:47,400 --> 01:05:52,720 Speaker 1: I'll see you tomorrow. And then this one was kind 1051 01:05:52,720 --> 01:05:54,960 Speaker 1: of mean, but it was also so kind of funny. Um, 1052 01:05:55,160 --> 01:05:58,640 Speaker 1: Forest Whitaker files for divorce from his wife, Kesha Nash 1053 01:05:58,680 --> 01:06:01,600 Speaker 1: after twenty two years. And then someone tweeted, you know 1054 01:06:01,720 --> 01:06:04,880 Speaker 1: he's always had a wondering eye. That's horrible. But that 1055 01:06:05,040 --> 01:06:07,520 Speaker 1: was m block you, um rotten must suplime on Twitter, 1056 01:06:07,600 --> 01:06:12,920 Speaker 1: and then the first tweet was from Regal Courtier seven. Uh. 1057 01:06:13,240 --> 01:06:16,320 Speaker 1: Theresa Lee tweeted teenagers, A group of them are caught 1058 01:06:16,360 --> 01:06:19,480 Speaker 1: on camera, but what do they want? A real newscast 1059 01:06:19,680 --> 01:06:23,240 Speaker 1: on local news just now and superduce around. Hosnie tweeted 1060 01:06:23,320 --> 01:06:24,840 Speaker 1: one time I was on the toilet for so long 1061 01:06:24,920 --> 01:06:26,600 Speaker 1: that my foot fell asleep and I had to crawl 1062 01:06:26,640 --> 01:06:29,320 Speaker 1: out of the bathroom. And that has happened to me too. 1063 01:06:33,160 --> 01:06:35,400 Speaker 1: You can find me on Twitter at Jack Underscore. O'Brien, 1064 01:06:35,520 --> 01:06:37,720 Speaker 1: you can find us on Twitter at Daily ZI. Guys 1065 01:06:37,720 --> 01:06:39,680 Speaker 1: were at the Daily Z guys on Instagram. We have 1066 01:06:39,720 --> 01:06:42,520 Speaker 1: a Facebook fan page and a website Daily zi guys 1067 01:06:42,560 --> 01:06:46,000 Speaker 1: dot com or post our episodes and our foot now 1068 01:06:46,920 --> 01:06:50,040 Speaker 1: wow where we link off to the information that we 1069 01:06:50,120 --> 01:06:52,880 Speaker 1: talked about in today's episode, as well as the song 1070 01:06:53,000 --> 01:06:56,360 Speaker 1: we ride out on on a Hosnie. What song are 1071 01:06:56,400 --> 01:06:59,520 Speaker 1: we going to write out on today? Hey, ladies there 1072 01:06:59,640 --> 01:07:04,320 Speaker 1: in Anna, I'm gonna recommend a song by my favorite 1073 01:07:05,200 --> 01:07:07,800 Speaker 1: artist of all time. Her name is Santi Gold and 1074 01:07:07,920 --> 01:07:11,080 Speaker 1: this song is off her new album, um, the Gold 1075 01:07:11,240 --> 01:07:15,880 Speaker 1: Buyer Series I don't want title. It's called Valley of 1076 01:07:15,960 --> 01:07:18,240 Speaker 1: the Dolls and it is so fun. It's like a 1077 01:07:18,320 --> 01:07:21,840 Speaker 1: little pop kind of reggae drum and beat. There's so 1078 01:07:21,960 --> 01:07:25,200 Speaker 1: much going on and it's so fun and um, you 1079 01:07:25,280 --> 01:07:28,040 Speaker 1: know later you can check me out on Lacey's Instagram story. 1080 01:07:29,440 --> 01:07:31,360 Speaker 1: So yeah, check it out, Santa Gold, Value of the 1081 01:07:31,400 --> 01:07:35,520 Speaker 1: Dolls col Kiana Craptop. It's so good. Yes for cruise, 1082 01:07:35,560 --> 01:07:40,280 Speaker 1: Arona has a young Kiano craptop. Why are you trying 1083 01:07:40,280 --> 01:07:50,960 Speaker 1: to know the claws are out? Like, I'm just saying, 1084 01:07:51,000 --> 01:07:53,040 Speaker 1: he don't look like that, No, more like a young 1085 01:07:53,200 --> 01:07:57,960 Speaker 1: Kiana ring. Well, it certainly doesn't look like that. And 1086 01:07:58,200 --> 01:08:04,520 Speaker 1: he stops out of the room. Such a Jianu bitch 1087 01:08:06,440 --> 01:08:09,320 Speaker 1: dais I guess? Is a production of I Heart Radio. 1088 01:08:09,360 --> 01:08:13,400 Speaker 1: Everybody Quiet? For more podcasts from my R radio is 1089 01:08:13,520 --> 01:08:16,400 Speaker 1: the I Heart Radio app, Apple Podcast or wherever you 1090 01:08:16,479 --> 01:08:19,200 Speaker 1: listen to your favorite shows. We don't get. That's gonna 1091 01:08:19,200 --> 01:08:20,840 Speaker 1: do it for today. We're gonna write out on that 1092 01:08:21,000 --> 01:08:24,439 Speaker 1: song by Sam's Gold. We will back tomorrow because it 1093 01:08:24,680 --> 01:08:27,160 Speaker 1: is a daily podcast. We will talk to you then bye. 1094 01:08:29,840 --> 01:08:33,240 Speaker 1: Drops up that. But you can not open in the 1095 01:08:33,479 --> 01:08:46,519 Speaker 1: valleys dot like I'm in the value of dot. That's 1096 01:08:46,520 --> 01:09:02,040 Speaker 1: because I'll just V what don me