1 00:00:01,600 --> 00:00:03,960 Speaker 1: We're ready. We're doing what we know. We're ready to now. Okay, 2 00:00:04,040 --> 00:00:07,560 Speaker 1: we go ready fun now, Hello the Internet, and welcome 3 00:00:07,640 --> 00:00:11,160 Speaker 1: to season two episode for The Daily Zygeist for October nineteen, 4 00:00:11,240 --> 00:00:15,600 Speaker 1: two thousand seventeen. It's the penultimate episode, the one where 5 00:00:15,640 --> 00:00:20,240 Speaker 1: people die. A stringer Bell died in the penultimate episode, 6 00:00:20,280 --> 00:00:26,520 Speaker 1: The Battle of the Bastards happened? Is this Hank the 7 00:00:26,520 --> 00:00:30,240 Speaker 1: penultimate episode? Uh, my name is Jack O'Brien a K. 8 00:00:30,600 --> 00:00:34,640 Speaker 1: Potatoes O'Brian a k A young Jackfruit. And I'm joined 9 00:00:34,760 --> 00:00:38,559 Speaker 1: by my co host, Mr Miles Gray a k a 10 00:00:39,040 --> 00:00:43,360 Speaker 1: uh yeah buck it, Mr by Rachel Yeah. And we're 11 00:00:43,440 --> 00:00:51,680 Speaker 1: joined by Edgar mom Plas here first returning guest. Uh 12 00:00:51,800 --> 00:00:54,880 Speaker 1: for also our first guest, Ladies, what's the weirdest thing 13 00:00:54,920 --> 00:00:57,240 Speaker 1: you've searched in the past couple of days? It was 14 00:00:57,560 --> 00:01:02,760 Speaker 1: something called hick hop. It's bigger than hick hop hick 15 00:01:04,120 --> 00:01:10,039 Speaker 1: it's uh it's basically trapped music. But for the people 16 00:01:10,040 --> 00:01:15,840 Speaker 1: who believe that Confederates actually still be up cool check 17 00:01:15,880 --> 00:01:18,360 Speaker 1: it out. Some people who look up is up Church 18 00:01:19,040 --> 00:01:22,280 Speaker 1: and uh the Jaguas Boys or something like that, check 19 00:01:22,319 --> 00:01:24,959 Speaker 1: them out. It's like people being like the Confederate flag 20 00:01:25,000 --> 00:01:28,400 Speaker 1: is dopey. Then there's then there's like these like I 21 00:01:28,440 --> 00:01:30,280 Speaker 1: don't know how, I don't know where these black dudes 22 00:01:30,360 --> 00:01:32,040 Speaker 1: came from that are in the video that are like 23 00:01:32,080 --> 00:01:34,880 Speaker 1: just chilling with the Confederate flag covering their face up. No, 24 00:01:35,040 --> 00:01:37,520 Speaker 1: they're like in it, you know. I guess, I mean, 25 00:01:37,880 --> 00:01:40,440 Speaker 1: I guess, you know hillbilly being a hillbilly isn't exclusive 26 00:01:40,440 --> 00:01:42,120 Speaker 1: to white people, I guess, is what right? But then 27 00:01:42,120 --> 00:01:43,759 Speaker 1: there are the artists who are just you can tell 28 00:01:43,760 --> 00:01:46,040 Speaker 1: are just like straight up racist hip hop because I 29 00:01:46,080 --> 00:01:49,160 Speaker 1: can't tell if like the guys who are the performers 30 00:01:49,240 --> 00:01:52,160 Speaker 1: like think it's hilarious and are like you know those 31 00:01:52,240 --> 00:01:54,440 Speaker 1: dudes who like do like frat rap and are like 32 00:01:55,040 --> 00:01:59,600 Speaker 1: get it, it's wrap. Some of these are like ridden 33 00:01:59,640 --> 00:02:07,560 Speaker 1: on for already fours Yeah, check that out or people don't? Uh? 34 00:02:07,600 --> 00:02:12,240 Speaker 1: What's what's one overrated thing? Currently a Stranger Things season two. 35 00:02:12,639 --> 00:02:14,760 Speaker 1: He didn't even come out yet, but Things is already 36 00:02:14,760 --> 00:02:18,000 Speaker 1: just like, so I think that's overrated. Although I like 37 00:02:18,080 --> 00:02:21,040 Speaker 1: the I like the billboard where it has the sheriff 38 00:02:21,080 --> 00:02:25,200 Speaker 1: walking through a pumpkin patch punkin patches underrated terms in 39 00:02:25,320 --> 00:02:29,120 Speaker 1: terms of I don't know in terms of things Charlie 40 00:02:29,160 --> 00:02:32,120 Speaker 1: Brown like did it and it was dope and hasn't 41 00:02:32,120 --> 00:02:37,120 Speaker 1: been a jockey Charlie Brown style. No, I'm happy. I'm 42 00:02:37,160 --> 00:02:38,720 Speaker 1: happy someone brought it back to the way. So you're 43 00:02:38,720 --> 00:02:40,760 Speaker 1: just saying it's overrated because the hype around it is 44 00:02:40,800 --> 00:02:43,880 Speaker 1: just you're just just exhausted from it. Me. Yeah, I 45 00:02:44,280 --> 00:02:47,000 Speaker 1: think like two of my friends are in two different 46 00:02:47,040 --> 00:02:49,679 Speaker 1: Stranger Things musicals right now, and it's just like, yo, 47 00:02:49,800 --> 00:02:51,720 Speaker 1: chill the funk out, I don't need this Like that? 48 00:02:52,120 --> 00:02:55,000 Speaker 1: Does that mean like there's like a bunch of like, ohma, 49 00:02:55,200 --> 00:02:57,440 Speaker 1: Stranger Things musical is going on in l A right now. 50 00:02:57,480 --> 00:02:59,760 Speaker 1: Go on Facebook, look at your fans and put Stranger 51 00:02:59,800 --> 00:03:02,480 Speaker 1: Things Musical. I bet you you'll find like a ton 52 00:03:02,520 --> 00:03:05,880 Speaker 1: of invites to people doing these stupid ass Stranger Things 53 00:03:05,960 --> 00:03:09,280 Speaker 1: omage ships. It's like fun that it's not even that good. 54 00:03:09,280 --> 00:03:11,480 Speaker 1: Where are the Wire Musicals? You know what I'm saying? 55 00:03:12,000 --> 00:03:16,320 Speaker 1: The funny, funnier Yeah, the Wire Musical and good. Yeah, 56 00:03:16,680 --> 00:03:19,040 Speaker 1: actually got some of the cast. It was awesome. It 57 00:03:19,080 --> 00:03:21,799 Speaker 1: was an actual thing. You should lick it up. They 58 00:03:21,800 --> 00:03:24,080 Speaker 1: did do the Wire Musical, Yeah, didn't. It had a 59 00:03:24,680 --> 00:03:26,480 Speaker 1: I think it was just a video that was like, well, 60 00:03:26,560 --> 00:03:28,840 Speaker 1: not the whole thing, but in it wasn't there like 61 00:03:29,160 --> 00:03:34,400 Speaker 1: there was a musical. Would it sounds dope? What's underrated 62 00:03:34,560 --> 00:03:37,400 Speaker 1: underrated as Mine Hunters on Netflix? I decided to go 63 00:03:37,480 --> 00:03:41,760 Speaker 1: with overrated and underrated on Netflix. Mine Hunters. You gotta 64 00:03:41,880 --> 00:03:44,680 Speaker 1: check it out. It's about these dudes who are trying 65 00:03:44,720 --> 00:03:48,080 Speaker 1: to understand like it's like in like the seventies or eighties, 66 00:03:48,120 --> 00:03:51,400 Speaker 1: I think, and they're trying to understand why it was 67 00:03:51,440 --> 00:03:54,200 Speaker 1: the sixties. They're trying to understand why these murders, these 68 00:03:54,200 --> 00:03:57,360 Speaker 1: sequence murders they keep calling them, keep happening. It's like 69 00:03:57,440 --> 00:03:59,640 Speaker 1: before we came up with the term for serial killers. 70 00:04:00,360 --> 00:04:03,000 Speaker 1: And it's the first dudes who came up with the 71 00:04:03,040 --> 00:04:06,640 Speaker 1: idea of profiling serially. Yeah, because like before, everyone's just 72 00:04:06,680 --> 00:04:09,040 Speaker 1: like they're just deprave. Then they're born that way. But 73 00:04:09,120 --> 00:04:12,120 Speaker 1: it's all about is morality something that we're born into 74 00:04:12,400 --> 00:04:14,400 Speaker 1: or is it something that we're taught? And I love 75 00:04:14,560 --> 00:04:17,279 Speaker 1: conversations like that. Where do you come down on that 76 00:04:17,960 --> 00:04:19,920 Speaker 1: it's something that we're taught. Like I don't believe Charles 77 00:04:20,000 --> 00:04:23,160 Speaker 1: Manson was born a killer. I think that. I mean, 78 00:04:23,200 --> 00:04:24,600 Speaker 1: if you look at his life. It's probably like one 79 00:04:24,600 --> 00:04:26,159 Speaker 1: of the most fucked up ways to grow up as 80 00:04:26,200 --> 00:04:29,560 Speaker 1: a kid. Uh. And I think that that leads to 81 00:04:30,600 --> 00:04:33,360 Speaker 1: the kind of repercussions that we get. I think society 82 00:04:33,360 --> 00:04:36,000 Speaker 1: plays a bigger role in the monsters that it creates, 83 00:04:36,000 --> 00:04:39,600 Speaker 1: that it's willing to accept h nature versus nurture. Yeah, 84 00:04:39,720 --> 00:04:42,640 Speaker 1: I personally think we're all born killers, and then we 85 00:04:42,720 --> 00:04:45,800 Speaker 1: have to not to do that. How do you feel 86 00:04:45,839 --> 00:04:55,800 Speaker 1: about homosexuality? Let us know that sword, Um, well, all right, yeah, 87 00:04:58,480 --> 00:05:01,279 Speaker 1: how do I feel about homosexual way to Sarah? Hu 88 00:05:01,320 --> 00:05:05,159 Speaker 1: could be that one. Oh Sarah, Sarah, Sarah so good 89 00:05:05,160 --> 00:05:07,680 Speaker 1: at the dodge. We're just watching her deal with the 90 00:05:07,720 --> 00:05:15,719 Speaker 1: fallout from Trump's condolences to military families. Uh, condolences in quotes, 91 00:05:16,160 --> 00:05:20,040 Speaker 1: scared quotes. Yeah, all right, So we're gonna do five 92 00:05:20,080 --> 00:05:22,480 Speaker 1: stories again, five stories were keeping an eye on. We're 93 00:05:22,480 --> 00:05:26,160 Speaker 1: gonna start off with driving deaths on US roads are 94 00:05:26,279 --> 00:05:30,760 Speaker 1: up for a second year in a row, which if 95 00:05:30,800 --> 00:05:37,120 Speaker 1: you're not following back to back, right, um, if you 96 00:05:37,200 --> 00:05:41,640 Speaker 1: if you don't follow trends in US road deaths, Uh, 97 00:05:41,880 --> 00:05:45,920 Speaker 1: they have been going steadily down for uh many years 98 00:05:46,000 --> 00:05:49,240 Speaker 1: as cars have gotten safer and safer and safer. Um. 99 00:05:49,520 --> 00:05:52,560 Speaker 1: And then for the past two years they just it's 100 00:05:52,560 --> 00:05:55,400 Speaker 1: been sort of an upwards spike and they're trying to 101 00:05:55,440 --> 00:05:59,640 Speaker 1: figure out why this is happening. Um, apparently we are 102 00:05:59,720 --> 00:06:03,200 Speaker 1: speed eating and drinking a little bit more. Uh. Maybe 103 00:06:03,240 --> 00:06:06,239 Speaker 1: in reaction to the safeness of the cars, were like, well, 104 00:06:06,279 --> 00:06:08,440 Speaker 1: we can get away with this ship. No, nothing's gonna 105 00:06:08,520 --> 00:06:12,080 Speaker 1: kill me now. But we're not doing it that much 106 00:06:12,120 --> 00:06:15,120 Speaker 1: more than usual. We're not drinking and speeding that much 107 00:06:15,120 --> 00:06:17,760 Speaker 1: more than we did in the past. It's like up 108 00:06:17,839 --> 00:06:20,840 Speaker 1: two percent, and the deaths are up way more than 109 00:06:20,839 --> 00:06:26,159 Speaker 1: that umo percent uh year of year, which is crazy. Uh. 110 00:06:26,200 --> 00:06:30,720 Speaker 1: So they think it has to do with big surprise smartphones, 111 00:06:32,360 --> 00:06:36,200 Speaker 1: which smartphone use in that time period has gone from 112 00:06:36,240 --> 00:06:43,279 Speaker 1: sevent to eight of the US population. Uh. And they 113 00:06:43,480 --> 00:06:47,840 Speaker 1: point to the trend that we have stopped talking on 114 00:06:47,880 --> 00:06:51,960 Speaker 1: our smartphones. We we used to talk, and that that 115 00:06:52,040 --> 00:06:53,800 Speaker 1: was the thing that you would get in trouble for, right, 116 00:06:53,839 --> 00:06:58,040 Speaker 1: like talking on your right But uh, that is apparently 117 00:06:58,200 --> 00:07:00,160 Speaker 1: way safer than any of the ship we're doing now, 118 00:07:00,360 --> 00:07:06,880 Speaker 1: which is texting, uh, getting on Twitter, checking Facebook, Instagram. Um, yeah, 119 00:07:07,080 --> 00:07:11,320 Speaker 1: all that ship is it requires way more attention than 120 00:07:11,680 --> 00:07:16,120 Speaker 1: you know, having Yeah, just like yelling at your phone. 121 00:07:16,560 --> 00:07:20,720 Speaker 1: So yeah, it's the We can blame it on the millennials. Uh, 122 00:07:21,040 --> 00:07:22,720 Speaker 1: I was worried there for a second, but yeah, it's 123 00:07:22,720 --> 00:07:27,600 Speaker 1: definitely the millennials. Um. And sort of a hidden facet 124 00:07:27,680 --> 00:07:30,680 Speaker 1: of this trend is that the increase in fatalities has 125 00:07:30,720 --> 00:07:34,800 Speaker 1: actually been mostly among people outside of the cars. So 126 00:07:35,920 --> 00:07:41,680 Speaker 1: the cars have gotten exactly you're you're uh serial pedestrian, right, 127 00:07:41,680 --> 00:07:44,480 Speaker 1: I'm one of the only five people that walks in 128 00:07:44,640 --> 00:07:49,920 Speaker 1: l A right that isn't homeless. Um. But yeah, so 129 00:07:50,080 --> 00:07:53,320 Speaker 1: basically the cars have gotten so safe that, uh, we're 130 00:07:53,480 --> 00:07:59,640 Speaker 1: basically indestructible. Go test that theory out. But people because 131 00:07:59,720 --> 00:08:03,720 Speaker 1: they are paying less attention. We pay attention. Like when 132 00:08:03,720 --> 00:08:07,480 Speaker 1: you're concentrating on your phone, you can keep track of 133 00:08:07,520 --> 00:08:11,480 Speaker 1: like one thing with your out of your peripheral vision. Uh. 134 00:08:11,520 --> 00:08:14,520 Speaker 1: And you know, so you can like look at traffic 135 00:08:14,600 --> 00:08:17,120 Speaker 1: that you're in and keep track of like the cars 136 00:08:17,160 --> 00:08:21,360 Speaker 1: that are around you. But you're like, cpu doesn't make 137 00:08:21,440 --> 00:08:27,120 Speaker 1: room for like someone crossing the street or bicyclists or motorcyclists. Um, okay, 138 00:08:27,200 --> 00:08:30,840 Speaker 1: allow me to deposit a question. Yeah, please if you're 139 00:08:30,880 --> 00:08:33,600 Speaker 1: texting on your phone and you're not looking up. And 140 00:08:33,600 --> 00:08:36,680 Speaker 1: then this dude is texting on his phone while he's walking, 141 00:08:37,200 --> 00:08:43,760 Speaker 1: and then you guys hit each other. Who's that phone? Really? Um? Both? Probably? 142 00:08:43,960 --> 00:08:46,200 Speaker 1: I don't know. I mean the dude is walking is dead, 143 00:08:46,280 --> 00:08:50,760 Speaker 1: so so he's not he's not around to go to 144 00:08:50,800 --> 00:08:54,600 Speaker 1: prison to litigate, right. Um. But yeah, so I mean 145 00:08:54,679 --> 00:08:58,960 Speaker 1: that's that that's the thing to watch out for. Walk 146 00:08:59,280 --> 00:09:03,679 Speaker 1: all the time. Oh yeah, yeah, no, you're you ever 147 00:09:03,720 --> 00:09:06,559 Speaker 1: tripped though you were walking into run into ship. I 148 00:09:07,120 --> 00:09:09,880 Speaker 1: ran into a baby once, like a baby that was 149 00:09:09,880 --> 00:09:11,160 Speaker 1: just on the loose. It was on It was in 150 00:09:11,200 --> 00:09:13,520 Speaker 1: a carriage, and the parents started yelling at me, and 151 00:09:13,559 --> 00:09:19,120 Speaker 1: I was like, hey, watch your baby carriage. You did 152 00:09:19,160 --> 00:09:25,760 Speaker 1: the unwalking here speech to the parents. Um. Yeah, so 153 00:09:26,640 --> 00:09:32,640 Speaker 1: pay the attention. Um, what's next? Up next? Trump is 154 00:09:33,800 --> 00:09:37,520 Speaker 1: fucking up comforting military families. All he would need is 155 00:09:37,640 --> 00:09:40,800 Speaker 1: like a script of like, here are acceptable things to say, 156 00:09:40,880 --> 00:09:43,320 Speaker 1: and here is the name of the person you're calling. 157 00:09:43,840 --> 00:09:48,040 Speaker 1: I think twenty Americans have been killed in action since 158 00:09:48,040 --> 00:09:53,240 Speaker 1: he became commander in chief in January. Uh, and he 159 00:09:53,679 --> 00:09:57,600 Speaker 1: is sucking it up. He hasn't bothered to get that 160 00:09:57,679 --> 00:10:01,240 Speaker 1: script or learned the names of the people he's calling, 161 00:10:01,360 --> 00:10:03,720 Speaker 1: and he's so wild because the dude is black and 162 00:10:03,840 --> 00:10:06,240 Speaker 1: his name is David Johnson. I feel like Trump could 163 00:10:06,480 --> 00:10:08,680 Speaker 1: David Oh, he could have just taken a guess and 164 00:10:08,720 --> 00:10:12,040 Speaker 1: he would have gotten it right. He probably yeah, with 165 00:10:12,080 --> 00:10:14,200 Speaker 1: his racist as he probably would assume the last last 166 00:10:14,240 --> 00:10:18,640 Speaker 1: name was Johnson's, like Lieutenant Johnson, thank you, sir, would 167 00:10:18,640 --> 00:10:22,160 Speaker 1: have been yeah. So like with that story. So basically, 168 00:10:22,160 --> 00:10:24,160 Speaker 1: we talked last week about how Niger there was like 169 00:10:24,200 --> 00:10:26,920 Speaker 1: an ambush that killed some Green Berets and Trump has 170 00:10:27,000 --> 00:10:29,320 Speaker 1: not acknowledged it, you know, for what like twelve days 171 00:10:29,400 --> 00:10:32,160 Speaker 1: or something. He finally reached out to the family of 172 00:10:32,240 --> 00:10:35,480 Speaker 1: one of the soldiers who was killed, uh, and and 173 00:10:35,559 --> 00:10:39,320 Speaker 1: told the his his wife who's pregnant, that you know, 174 00:10:39,400 --> 00:10:42,880 Speaker 1: her husband knew what he signed up for in and 175 00:10:43,200 --> 00:10:46,280 Speaker 1: in his in his call to like to send his condolences. 176 00:10:46,559 --> 00:10:48,720 Speaker 1: So yeah, he's sucking up the most basic ship. And 177 00:10:48,720 --> 00:10:50,920 Speaker 1: then also there are also people who would listening to 178 00:10:50,960 --> 00:10:52,920 Speaker 1: the call were saying he didn't even actually know his name. 179 00:10:52,960 --> 00:10:55,440 Speaker 1: He kept saying, you're a guy, You're a guy. You know, 180 00:10:55,440 --> 00:10:58,600 Speaker 1: it must be sad your guy, Like really yeah, man, 181 00:10:58,840 --> 00:11:04,280 Speaker 1: that's that's insulting. Man. Uh yeah, Like I'm somebody who 182 00:11:04,400 --> 00:11:08,120 Speaker 1: really is bad at remembering people's names and like being 183 00:11:08,200 --> 00:11:11,840 Speaker 1: like you're your guy over there is not that's not smooth. 184 00:11:12,120 --> 00:11:22,200 Speaker 1: Yeah yeah, trumpet them like your dude, uh yeah, your husband, right, 185 00:11:23,120 --> 00:11:28,360 Speaker 1: you're a guy there, your guy there? Ye. Do you 186 00:11:28,360 --> 00:11:30,959 Speaker 1: think he would have gotten away with that? Probably at 187 00:11:30,960 --> 00:11:34,760 Speaker 1: this point, I mean probably nothing can stick to this dude. 188 00:11:34,840 --> 00:11:36,319 Speaker 1: If he had said, you know, your husband was the 189 00:11:36,400 --> 00:11:41,000 Speaker 1: realist nig alive, like I think it would be okay, yeah, yeah, 190 00:11:41,120 --> 00:11:43,760 Speaker 1: probably probably fine. He's better than being like yeah, he 191 00:11:43,840 --> 00:11:46,640 Speaker 1: knew what he was getting into. Uh. And there was 192 00:11:46,679 --> 00:11:51,679 Speaker 1: a congresswoman apparently present with the wife they're comforting her, 193 00:11:52,440 --> 00:11:55,360 Speaker 1: who heard the call and was like, oh, this is 194 00:11:55,400 --> 00:11:58,840 Speaker 1: not good and came out and said so. And we 195 00:11:58,960 --> 00:12:02,959 Speaker 1: just watched the AS conference with Sarah Huckabee Sanders Huckerbie 196 00:12:03,360 --> 00:12:08,840 Speaker 1: uh Sanders just basically saying that the congresswoman is disgusting 197 00:12:08,960 --> 00:12:14,800 Speaker 1: for having a you know, turned politicized this right event. Oh. 198 00:12:14,840 --> 00:12:18,840 Speaker 1: I mean I don't know, I lokey kind of. I 199 00:12:18,840 --> 00:12:21,760 Speaker 1: mean I don't agree with Sarah Huckaby sand Is, but 200 00:12:22,600 --> 00:12:24,920 Speaker 1: I don't know this compress woman. She's looking for FaceTime 201 00:12:25,000 --> 00:12:27,200 Speaker 1: just a little bit, you know what I'm saying. Like 202 00:12:27,559 --> 00:12:32,360 Speaker 1: especially that hat that she was wearing. She's got the 203 00:12:32,360 --> 00:12:34,679 Speaker 1: Auntie had it. It was blinged out, bro it was 204 00:12:34,720 --> 00:12:37,360 Speaker 1: when cowboy hat was bling on it. But I mean 205 00:12:37,400 --> 00:12:40,240 Speaker 1: she was there comforting the woman. So it's like, I mean, 206 00:12:40,280 --> 00:12:42,240 Speaker 1: at least she was. Her head was in the right place. 207 00:12:42,920 --> 00:12:45,440 Speaker 1: She was, she was like, it's not like she showed 208 00:12:45,520 --> 00:12:48,880 Speaker 1: up for you know, like a photo shoot or whatever. 209 00:12:49,160 --> 00:12:51,120 Speaker 1: And also that's like her swag. She's always weren't that right, 210 00:12:51,200 --> 00:12:53,880 Speaker 1: She's just got dopet. But yeah, I mean the other 211 00:12:53,960 --> 00:12:56,480 Speaker 1: issue with a fallen Soldiers was that Trump even dragged 212 00:12:56,520 --> 00:12:59,000 Speaker 1: out John Kelly's son who had was killed in action 213 00:12:59,040 --> 00:13:02,000 Speaker 1: to say Obama never called him, when in fact, like 214 00:13:02,040 --> 00:13:05,720 Speaker 1: he had he had hosted like John Kelly, like at 215 00:13:05,800 --> 00:13:08,680 Speaker 1: a breakfast at the White House from old Star Families. 216 00:13:09,040 --> 00:13:11,000 Speaker 1: And you know, there's not a lot to know like 217 00:13:11,080 --> 00:13:13,880 Speaker 1: why exactly Trump decided to say something like that. There's 218 00:13:13,960 --> 00:13:16,520 Speaker 1: rumors that Sarah Huckaby Sanders may have had something to 219 00:13:16,520 --> 00:13:19,840 Speaker 1: do with it, um like you know, uh, suggesting that 220 00:13:19,840 --> 00:13:22,199 Speaker 1: that was something worth saying. But you know, I know 221 00:13:22,520 --> 00:13:26,120 Speaker 1: John Kelly is not fucking happy with having his son 222 00:13:26,280 --> 00:13:29,760 Speaker 1: being used like as a talking point for Trump, especially 223 00:13:29,760 --> 00:13:32,120 Speaker 1: when it's something probably so I mean, man ship is 224 00:13:32,559 --> 00:13:35,880 Speaker 1: it's just fucking insensitive. It's inhumane to do something like that. 225 00:13:35,960 --> 00:13:38,160 Speaker 1: And who knows what those conversations are like now if 226 00:13:38,160 --> 00:13:40,600 Speaker 1: like John Kelly is like, yo, to keep my son's name. 227 00:13:42,600 --> 00:13:44,520 Speaker 1: But I don't know, I'm almost definitely he said that 228 00:13:44,559 --> 00:13:47,679 Speaker 1: word for work, Like yeah, like I said earlier, we 229 00:13:47,679 --> 00:13:50,920 Speaker 1: were saying he's I know John Kelly, which I don't. Yeah, 230 00:13:50,960 --> 00:13:56,480 Speaker 1: that's probably what he was saying. Um, yeah, and uh. 231 00:13:56,520 --> 00:13:59,400 Speaker 1: Sarah hug Aby Sanders at the press conference was like, well, 232 00:13:59,480 --> 00:14:03,520 Speaker 1: I think the General is just mad about people politicizing 233 00:14:03,600 --> 00:14:06,240 Speaker 1: his son's death, and like it was like, wait, you've 234 00:14:06,360 --> 00:14:09,040 Speaker 1: like kind of worked yourself in such a circle that 235 00:14:09,080 --> 00:14:11,640 Speaker 1: you didn't realize you're talking about yourself now, Like you 236 00:14:11,679 --> 00:14:17,280 Speaker 1: guys are the ones who politicize his death every day, 237 00:14:17,280 --> 00:14:20,080 Speaker 1: well not every day, but it looks exhausted. But yeah, 238 00:14:20,120 --> 00:14:22,600 Speaker 1: so I don't know. It just seems like maybe Trump 239 00:14:22,920 --> 00:14:26,200 Speaker 1: is a person who doesn't know what to say in 240 00:14:26,240 --> 00:14:31,760 Speaker 1: that situation because he doesn't have any experience with sacrifice, 241 00:14:31,920 --> 00:14:36,000 Speaker 1: like sacrificing for his country. That idea is like totally 242 00:14:36,360 --> 00:14:38,920 Speaker 1: foreign to him, his idea of sacrifices that he gave 243 00:14:39,040 --> 00:14:42,360 Speaker 1: up his career to be president. Uh, but I feel 244 00:14:42,360 --> 00:14:46,720 Speaker 1: like he equates everything to a dollar figure, which is 245 00:14:46,760 --> 00:14:50,800 Speaker 1: probably why he apparently offered the father of a different 246 00:14:50,880 --> 00:14:54,480 Speaker 1: fallen soldier twenty dollars, which I guess, like I was 247 00:14:54,520 --> 00:14:58,560 Speaker 1: saying he was struggling financially, So in theory, uh, not 248 00:14:58,720 --> 00:15:00,880 Speaker 1: the worst thing in the world all actually kind of 249 00:15:00,880 --> 00:15:04,240 Speaker 1: a generous thing. But then he never followed through until 250 00:15:04,640 --> 00:15:07,440 Speaker 1: the guy told the media that Trump had offered him 251 00:15:08,200 --> 00:15:10,320 Speaker 1: dollars and never followed through, and then he was like, 252 00:15:10,360 --> 00:15:12,480 Speaker 1: oh yeah, yeah, I know that checks in the mail. 253 00:15:12,720 --> 00:15:16,120 Speaker 1: So yeah, in summation, even a layup, and even when 254 00:15:16,160 --> 00:15:20,960 Speaker 1: he's like doing the right thing, offering someone dollars who's 255 00:15:21,320 --> 00:15:25,000 Speaker 1: struggling with money, even then he manages to funk it up. 256 00:15:25,920 --> 00:15:28,320 Speaker 1: All right, we are going to take a quick break, 257 00:15:28,440 --> 00:15:42,800 Speaker 1: and when we come back, opioids and we're back. So 258 00:15:43,560 --> 00:15:46,320 Speaker 1: in this segment, I wanted to talk about a sixty 259 00:15:46,320 --> 00:15:50,280 Speaker 1: minutes Washington Post investigation, UH sixty minutes there their report 260 00:15:50,480 --> 00:15:54,480 Speaker 1: on UH Sunday of the Week that this is airing UH, 261 00:15:54,520 --> 00:15:58,640 Speaker 1: and it was pretty incredible. There's been some fallouts since then, 262 00:15:59,040 --> 00:16:05,760 Speaker 1: and this is just a story that we're incredibly interested in, uh, 263 00:16:05,960 --> 00:16:09,920 Speaker 1: just because it's an ongoing health crisis in America. It's 264 00:16:10,000 --> 00:16:15,040 Speaker 1: a you know, uh, my wife works in pain management 265 00:16:15,120 --> 00:16:17,600 Speaker 1: and is like dealing with people who were hooked on 266 00:16:17,680 --> 00:16:21,480 Speaker 1: opioids every day. So this is like, you know, a 267 00:16:21,560 --> 00:16:25,400 Speaker 1: battle that she has to deal with on a regular basis. 268 00:16:26,560 --> 00:16:32,640 Speaker 1: And so so the story basically was an interview with 269 00:16:32,920 --> 00:16:38,960 Speaker 1: a x d E, a UH agent who's basically a whistleblower. 270 00:16:39,000 --> 00:16:42,320 Speaker 1: His name is Joe Ramisz. And wait, any relation to 271 00:16:42,360 --> 00:16:47,280 Speaker 1: Steve No, I don't, I don't think so he what 272 00:16:47,320 --> 00:16:48,720 Speaker 1: did he say? It was like a nine eleven. He 273 00:16:48,760 --> 00:16:51,240 Speaker 1: said that he was like almost in a tower or 274 00:16:51,320 --> 00:16:53,160 Speaker 1: something like that, or like almost got on the plane. 275 00:16:53,240 --> 00:16:55,400 Speaker 1: It was something where he lied and then like quickly 276 00:16:55,400 --> 00:16:59,800 Speaker 1: got to anyway side that is such a weird story though, 277 00:17:00,040 --> 00:17:02,040 Speaker 1: so he was just to get more side checked. He 278 00:17:02,080 --> 00:17:03,800 Speaker 1: was on CURB recently and I was like, how the 279 00:17:03,800 --> 00:17:06,520 Speaker 1: funk are you working again? I thought you got fucking 280 00:17:06,520 --> 00:17:09,359 Speaker 1: blacklisted that he did the last season of the league 281 00:17:09,359 --> 00:17:13,440 Speaker 1: after that. So anyways, uh, this d A was a 282 00:17:13,480 --> 00:17:17,400 Speaker 1: blower was saying that pharmaceutical companies knew that they were 283 00:17:17,760 --> 00:17:21,560 Speaker 1: pushing dangerous, addictive drugs out in the communities, that it 284 00:17:21,640 --> 00:17:25,200 Speaker 1: was killing people, and uh, you know, the DA was 285 00:17:25,240 --> 00:17:29,280 Speaker 1: trying to stop them, and distributors and these pharmaceutical companies 286 00:17:29,320 --> 00:17:32,520 Speaker 1: basically ignored all these requirements that were putting in place 287 00:17:32,560 --> 00:17:35,879 Speaker 1: to report suspicious orders, like when a town of a 288 00:17:35,920 --> 00:17:39,719 Speaker 1: thousand people get in order for like five million opioid pills, 289 00:17:40,240 --> 00:17:44,639 Speaker 1: was just like yo, dude, Uh that makes no sense 290 00:17:45,320 --> 00:17:48,720 Speaker 1: at all. Uh. So the d A started cracking down 291 00:17:49,000 --> 00:17:53,119 Speaker 1: on these major drug companies, and obviously in America, that 292 00:17:53,160 --> 00:17:57,520 Speaker 1: becomes a problem because major drug companies have lots of 293 00:17:57,560 --> 00:18:02,480 Speaker 1: money and really really rich people who whose wealth and 294 00:18:02,560 --> 00:18:07,240 Speaker 1: fortune is at stake. So these companies complained to Congress 295 00:18:07,280 --> 00:18:12,359 Speaker 1: and the Justice Department and basically used their money to 296 00:18:12,880 --> 00:18:15,800 Speaker 1: pressure them to get the d e A to go 297 00:18:15,880 --> 00:18:19,600 Speaker 1: easier on them. Um. So there were two reactions to 298 00:18:19,680 --> 00:18:22,040 Speaker 1: this and the d e A. So the whistleblower and 299 00:18:22,119 --> 00:18:25,080 Speaker 1: his team are like, well, funk that people are actually 300 00:18:25,520 --> 00:18:27,920 Speaker 1: like dying here, like on a day to day basis, 301 00:18:27,960 --> 00:18:31,480 Speaker 1: people are dying. Um. The other reaction is actually a 302 00:18:31,480 --> 00:18:34,719 Speaker 1: good case study and how impossible it is to like 303 00:18:35,640 --> 00:18:40,680 Speaker 1: solve problems in America because these big corporations basically went 304 00:18:40,880 --> 00:18:43,879 Speaker 1: after other d e A attorneys and we're like, what 305 00:18:43,920 --> 00:18:46,280 Speaker 1: are they paying? You will pay you double. You come 306 00:18:46,440 --> 00:18:50,040 Speaker 1: work for us and tell us how like tell us 307 00:18:50,080 --> 00:18:52,560 Speaker 1: basically the weaknesses in the cases that the d e 308 00:18:52,680 --> 00:18:55,119 Speaker 1: A is trying to bring, so that like the d 309 00:18:55,200 --> 00:18:58,200 Speaker 1: e A was fucked that, like all these dudes were 310 00:18:58,280 --> 00:19:03,800 Speaker 1: just uh going joining the other side for insane amounts 311 00:19:03,840 --> 00:19:07,760 Speaker 1: of money. Yeah. So in two thousand thirteen, Congress crippled 312 00:19:07,760 --> 00:19:12,120 Speaker 1: the d's ability to enforce the Controlled Substance Act, which 313 00:19:12,160 --> 00:19:14,240 Speaker 1: is how they were kind of enforcing all this ship 314 00:19:15,000 --> 00:19:17,840 Speaker 1: up to that point. Uh. They characterize it as a 315 00:19:17,880 --> 00:19:21,320 Speaker 1: way to ensure pain medication was accessible for patients who 316 00:19:21,359 --> 00:19:24,640 Speaker 1: needed it, which was not America's problem at that right there, 317 00:19:24,680 --> 00:19:27,639 Speaker 1: like we need the fiends to have easier access, right, 318 00:19:27,920 --> 00:19:31,119 Speaker 1: But it basically just took away the DAS ability to 319 00:19:31,200 --> 00:19:37,359 Speaker 1: freeze huge suspicious shipments of prescription drugs. And people knew that, 320 00:19:37,480 --> 00:19:40,080 Speaker 1: like completely knew that this is what was going to happen. 321 00:19:40,200 --> 00:19:43,680 Speaker 1: A two thousand fifteen Justice Department memo said the bill 322 00:19:43,920 --> 00:19:48,199 Speaker 1: quote could actually result in increased diversion, abuse and public 323 00:19:48,240 --> 00:19:53,119 Speaker 1: health and safety consequences. A K people die. So the 324 00:19:53,720 --> 00:19:57,760 Speaker 1: villain of this story is the key sponsor of that 325 00:19:57,800 --> 00:20:02,520 Speaker 1: bill in Congress is a I named Tom Marino from Pennsylvania. 326 00:20:02,600 --> 00:20:06,760 Speaker 1: He's in his fourth term, who until recently, until like 327 00:20:07,080 --> 00:20:10,440 Speaker 1: a few days ago, was actually Trump's nominee for US 328 00:20:10,520 --> 00:20:15,359 Speaker 1: Drugs are uh huh, the position that is supposed to 329 00:20:15,359 --> 00:20:19,560 Speaker 1: be in charge of fighting the opioid epidemic the top right. 330 00:20:19,720 --> 00:20:24,480 Speaker 1: That is who sponsored the bill and uh also the 331 00:20:24,800 --> 00:20:27,959 Speaker 1: his other big cause other than making it easier for 332 00:20:28,000 --> 00:20:30,800 Speaker 1: people to get opioids UH in the midst of the 333 00:20:30,840 --> 00:20:37,160 Speaker 1: opioid epidemic, is trying to UH is voting against any 334 00:20:37,359 --> 00:20:42,080 Speaker 1: marijuana legalization. He voted like tons of times against bipartisan 335 00:20:42,119 --> 00:20:45,880 Speaker 1: measures to prevent the Justice Department from going after UH 336 00:20:46,080 --> 00:20:50,160 Speaker 1: legal medical marijuana businesses. Uh. He voted against a measure 337 00:20:50,200 --> 00:20:53,639 Speaker 1: to allow veterans affairs doctors to recommend medical marijuana to 338 00:20:53,680 --> 00:20:56,879 Speaker 1: their patients. And like that's you know, my wife used 339 00:20:56,920 --> 00:20:59,160 Speaker 1: to work in a veterans hospital, and like they're they 340 00:20:59,200 --> 00:21:01,439 Speaker 1: need all the help they can get because you know, 341 00:21:02,160 --> 00:21:04,359 Speaker 1: veterans are coming back from more they need. They have 342 00:21:04,440 --> 00:21:08,480 Speaker 1: like lots of pain they're dealing with psychologically and physically. Uh. 343 00:21:08,520 --> 00:21:11,159 Speaker 1: And he also voted against a measure that would have 344 00:21:11,640 --> 00:21:15,119 Speaker 1: loosened some of the restrictions on CBD oil, which is 345 00:21:15,200 --> 00:21:19,920 Speaker 1: a non psychoactive derivative of the cannabis plant that allows 346 00:21:20,160 --> 00:21:23,640 Speaker 1: that is like seen as incredibly promising for treating severe 347 00:21:23,680 --> 00:21:28,239 Speaker 1: forms of childhood epilepsy and also pain pain. Right, it 348 00:21:28,240 --> 00:21:31,080 Speaker 1: gets it gets rid of the thing the one thing 349 00:21:31,160 --> 00:21:33,399 Speaker 1: that like they could be objecting to, which is like 350 00:21:33,440 --> 00:21:35,760 Speaker 1: it gets people high. It doesn't get people high. Yeah, 351 00:21:35,800 --> 00:21:38,720 Speaker 1: it's it's purely like well, and the thing is too 352 00:21:38,800 --> 00:21:40,440 Speaker 1: there are a lot of pharmaceutic comani who are trying 353 00:21:40,440 --> 00:21:42,959 Speaker 1: to synthesize their own version of CBD to try and 354 00:21:43,080 --> 00:21:46,440 Speaker 1: get the jump on the legal marijuana industry too, and 355 00:21:46,600 --> 00:21:48,480 Speaker 1: you know, trying to jam people up in court over 356 00:21:48,520 --> 00:21:52,800 Speaker 1: this ship too. Right. So the reason the pharmaceutical industry 357 00:21:52,920 --> 00:21:57,600 Speaker 1: is fighting this is because marijuana legalization in Colorado led 358 00:21:57,640 --> 00:22:01,919 Speaker 1: to a complete reversal of the opio overdose deaths in 359 00:22:01,920 --> 00:22:07,840 Speaker 1: that state. After Colorado's legalization of recreational cannabis, opioid related 360 00:22:07,880 --> 00:22:11,080 Speaker 1: deaths decreased more than six percent in the following two years. 361 00:22:11,320 --> 00:22:15,520 Speaker 1: Um So, it's been shown to be incredibly effective and 362 00:22:15,560 --> 00:22:19,040 Speaker 1: like a good way to treat pain that doesn't involve 363 00:22:19,200 --> 00:22:22,120 Speaker 1: the risk of getting people hooked on drugs that might 364 00:22:22,200 --> 00:22:24,320 Speaker 1: kill them. But why would that make people mad? Jack, 365 00:22:24,400 --> 00:22:27,080 Speaker 1: I don't get it right, that's in the problem. And like, yeah, 366 00:22:27,080 --> 00:22:28,879 Speaker 1: the other thing is like and like states with medical 367 00:22:28,920 --> 00:22:32,560 Speaker 1: marijuana laws, they they prescribe less pain pills because people 368 00:22:32,560 --> 00:22:34,359 Speaker 1: are like, oh, I have the option to do something 369 00:22:34,359 --> 00:22:37,359 Speaker 1: where I'm not just you know, melted off opioids all day. 370 00:22:37,560 --> 00:22:39,359 Speaker 1: They're gonna go for that. And it just shows you 371 00:22:39,400 --> 00:22:41,920 Speaker 1: who's really like one of the biggest driving forces behind 372 00:22:41,960 --> 00:22:45,680 Speaker 1: this anti legalization movement. It's clearly the pharmaceutical companies, because 373 00:22:45,720 --> 00:22:48,440 Speaker 1: we don't know the healing power of weed. Right. Pain 374 00:22:48,520 --> 00:22:52,359 Speaker 1: killer prescriptions dropped in the seventeen states that had medical 375 00:22:52,400 --> 00:22:55,920 Speaker 1: marijuana laws in place by two thousand thirteen. Uh, pain 376 00:22:56,000 --> 00:23:00,480 Speaker 1: killer prescriptions dropped drastically, so they were making less money. Uh. 377 00:23:00,520 --> 00:23:03,520 Speaker 1: The average doctor in a legal pot state prescribed one 378 00:23:03,560 --> 00:23:07,439 Speaker 1: thousand and twenty six fewer doses of pain killers in 379 00:23:07,480 --> 00:23:12,560 Speaker 1: a given year. Um So, Tom Marino, who, like I said, 380 00:23:12,640 --> 00:23:17,560 Speaker 1: up until this sixty minutes report was Trump's pick for 381 00:23:17,760 --> 00:23:24,560 Speaker 1: the drugs are because his main issue is prosecuting marijuana, which, 382 00:23:24,800 --> 00:23:28,960 Speaker 1: by the way, the Jeff Sessions main issue. He thinks 383 00:23:29,080 --> 00:23:34,040 Speaker 1: marijuana should be treated like more. Uh like, we're treated 384 00:23:34,080 --> 00:23:38,920 Speaker 1: as a bigger crime than it ever was. What's your theory. 385 00:23:39,040 --> 00:23:41,640 Speaker 1: He's a very small dude, So, like I've hung out 386 00:23:41,640 --> 00:23:43,200 Speaker 1: with a lot of small dudes when they get high, 387 00:23:43,240 --> 00:23:46,040 Speaker 1: they get funked up and stupid. I think it's because 388 00:23:46,080 --> 00:23:50,200 Speaker 1: he can't hang he can, so he's taking it out 389 00:23:50,200 --> 00:23:53,680 Speaker 1: on marijuana. He like kept trying it, and like I 390 00:23:53,720 --> 00:23:56,720 Speaker 1: thought it would like make him happier and like more 391 00:23:56,800 --> 00:23:58,920 Speaker 1: laid back, but it just like made him like really 392 00:23:59,080 --> 00:24:01,560 Speaker 1: freaking just end up all the demons he had inside, 393 00:24:01,560 --> 00:24:04,919 Speaker 1: Like you're poking up, Jeff, You're like you look like 394 00:24:04,960 --> 00:24:07,679 Speaker 1: a keyble or health. He doesn't like it, so he's 395 00:24:07,720 --> 00:24:10,159 Speaker 1: taking it out on everybody who's having fun on it. Yeah, 396 00:24:10,480 --> 00:24:13,760 Speaker 1: and uh so. Tom Arino, like I said earlier, is 397 00:24:13,800 --> 00:24:18,840 Speaker 1: a representative for Pennsylvania, where hospitalizations for heroin overdoses have 398 00:24:19,040 --> 00:24:24,600 Speaker 1: quadrupled since two thousand ten. Overdoses for prescriptions like oxy 399 00:24:24,600 --> 00:24:27,440 Speaker 1: cotton and biking in are even higher. The total number 400 00:24:27,480 --> 00:24:30,880 Speaker 1: of overdoses is nearly four times the number of fatal 401 00:24:30,960 --> 00:24:35,040 Speaker 1: traffic accidents in Pennsylvania. All the fuck, I mean, how 402 00:24:35,080 --> 00:24:38,600 Speaker 1: are you even a fucking human right where you you're 403 00:24:38,640 --> 00:24:41,639 Speaker 1: you're firstancing this in your own state. You can just 404 00:24:41,720 --> 00:24:44,879 Speaker 1: go and be a total shill for the pharmaceutical comies 405 00:24:44,880 --> 00:24:47,880 Speaker 1: like this, and it's completely at odds with your duties 406 00:24:48,200 --> 00:24:51,240 Speaker 1: as a representative of Congress for the people of your state. 407 00:24:51,280 --> 00:24:56,160 Speaker 1: Because that vacation home in New Hampshire bro exactly so sad. 408 00:24:56,200 --> 00:25:00,520 Speaker 1: But like yo again, you know money is when he's 409 00:25:00,560 --> 00:25:03,719 Speaker 1: a corrupting force, and you know they're dealing with the 410 00:25:03,760 --> 00:25:07,560 Speaker 1: heads of the pharmaceutical like companies who like they're like, oh, 411 00:25:07,640 --> 00:25:10,399 Speaker 1: we're friends. You know, he was a good guy to have, 412 00:25:10,560 --> 00:25:13,120 Speaker 1: like that good guide network, when he's probably not even 413 00:25:13,119 --> 00:25:15,840 Speaker 1: thinking of like what that what this translate to in 414 00:25:15,920 --> 00:25:17,560 Speaker 1: his state, He's like, well, these people are hooked on 415 00:25:17,600 --> 00:25:21,200 Speaker 1: drugs anyway, right, yeah, And like to give you an 416 00:25:21,200 --> 00:25:24,520 Speaker 1: example of how he thinks about drug use and uh 417 00:25:24,720 --> 00:25:30,000 Speaker 1: drug addicts, he recommends for non violent drug offenders they 418 00:25:30,000 --> 00:25:33,840 Speaker 1: should receive criminal charges that will be held until they 419 00:25:33,880 --> 00:25:39,240 Speaker 1: agree to force to hospitalization, which the hospital that he 420 00:25:39,680 --> 00:25:44,320 Speaker 1: is like recommending. He has called hospital slash prisons, like 421 00:25:44,840 --> 00:25:49,960 Speaker 1: as a verbatim, a hospital slash prison. Uh. Yeah, So 422 00:25:50,080 --> 00:25:53,639 Speaker 1: he shouldn't just be withdrawing from the drugs Are nomination. 423 00:25:53,720 --> 00:25:58,320 Speaker 1: He should withdraw, resign from representing Pennsylvania, and you know, 424 00:25:58,520 --> 00:26:02,280 Speaker 1: be forced to work for free and like a rehab 425 00:26:02,320 --> 00:26:06,640 Speaker 1: center for the rest of his life. Yeah. But I mean, 426 00:26:06,760 --> 00:26:10,760 Speaker 1: so it's not all bad news. Uh. There is a 427 00:26:10,800 --> 00:26:15,480 Speaker 1: PBS documentary that was just released on uh, southern California 428 00:26:15,920 --> 00:26:18,440 Speaker 1: pain clinics that are actually doing a good job of 429 00:26:18,440 --> 00:26:24,080 Speaker 1: fighting back against the opioid epidemic. It's actually the Kaiser Permanente. 430 00:26:24,119 --> 00:26:26,240 Speaker 1: It's like the company my wife works for, and they're 431 00:26:26,760 --> 00:26:31,200 Speaker 1: you know, using all these other ways of treating pain, 432 00:26:31,400 --> 00:26:34,280 Speaker 1: like they're they're trying to go after it. Basically opioids 433 00:26:34,320 --> 00:26:38,560 Speaker 1: like mask the pain, whereas you know, the pain has 434 00:26:38,600 --> 00:26:42,199 Speaker 1: a cause and so like a good pain physician is 435 00:26:42,200 --> 00:26:44,960 Speaker 1: supposed to go after the cause of the pain, not 436 00:26:45,040 --> 00:26:48,320 Speaker 1: just like sort of cover it up. Uh. And it 437 00:26:48,359 --> 00:26:51,400 Speaker 1: was only ever supposed to be used for like surgical 438 00:26:51,440 --> 00:26:53,679 Speaker 1: pain or broken bones or like pain that you know 439 00:26:53,880 --> 00:26:57,240 Speaker 1: is going to eventually be over. And the problem with 440 00:26:57,960 --> 00:27:01,000 Speaker 1: like the way it's being used currently is that people 441 00:27:01,080 --> 00:27:03,480 Speaker 1: will like use it for a bad back or something 442 00:27:03,560 --> 00:27:07,720 Speaker 1: like don't do yoga or like pain, like just take 443 00:27:07,760 --> 00:27:10,520 Speaker 1: these pills and you know, right off the rest of 444 00:27:10,520 --> 00:27:13,280 Speaker 1: the day. Right, growing up Adventus, like I would always 445 00:27:13,280 --> 00:27:15,439 Speaker 1: get taken to these health seminars and ship like that, 446 00:27:15,480 --> 00:27:17,400 Speaker 1: And I remember at one of them, this woman said 447 00:27:17,440 --> 00:27:19,679 Speaker 1: something and put up this image that like stayed with 448 00:27:19,720 --> 00:27:22,880 Speaker 1: me when she said, like, American medicine is this. It's 449 00:27:22,920 --> 00:27:25,639 Speaker 1: mopping the floor while the water is still running. And 450 00:27:25,640 --> 00:27:28,200 Speaker 1: it's like an image of like a sink that's overflowing, 451 00:27:28,280 --> 00:27:30,639 Speaker 1: and it's just like doctors like wiping the floor. And 452 00:27:30,640 --> 00:27:33,440 Speaker 1: and I was like, listening to this fucking epidemic, is 453 00:27:33,480 --> 00:27:36,120 Speaker 1: that's exactly what it is. Is Is they're prescribing this problem 454 00:27:36,320 --> 00:27:38,520 Speaker 1: rather than trying to get to the actual cause of it. 455 00:27:38,640 --> 00:27:40,720 Speaker 1: And it's just leading to just a ton more of bullshit, 456 00:27:40,840 --> 00:27:44,439 Speaker 1: like because just making so much money right exactly, rather 457 00:27:44,480 --> 00:27:46,800 Speaker 1: than solving the issue. Yeah, I had an eighth grade 458 00:27:47,040 --> 00:27:50,360 Speaker 1: history teacher who was like, you know why potts illegal 459 00:27:50,560 --> 00:27:54,280 Speaker 1: and alcohol isn't. It's because you can grow a great 460 00:27:54,280 --> 00:27:57,720 Speaker 1: batch of weed without the government's help. But you can't 461 00:27:57,760 --> 00:28:00,639 Speaker 1: like alcohol that you brew in your bathtub is going 462 00:28:00,680 --> 00:28:03,720 Speaker 1: to taste like ship. So they can't ensure that they're 463 00:28:03,720 --> 00:28:06,640 Speaker 1: the ones making money off of pot, whereas they can 464 00:28:06,680 --> 00:28:09,560 Speaker 1: make sure that they're making money off the alcohol. And 465 00:28:09,680 --> 00:28:14,200 Speaker 1: I think like that, I think about that uh so 466 00:28:14,240 --> 00:28:17,399 Speaker 1: often because it really like applies to so many things, 467 00:28:17,440 --> 00:28:20,879 Speaker 1: like the government can't make money or like these you 468 00:28:20,920 --> 00:28:24,000 Speaker 1: know Fortune five companies can't make money off of yoga. 469 00:28:24,480 --> 00:28:27,360 Speaker 1: Uh they can make money off of you know, these 470 00:28:27,800 --> 00:28:30,720 Speaker 1: pills being overprescribed. Well, it's interesting that that whole debate 471 00:28:30,760 --> 00:28:33,359 Speaker 1: too is part of like inside the legalization argument, especially 472 00:28:33,359 --> 00:28:36,119 Speaker 1: in California, is sort of like some some people are 473 00:28:36,119 --> 00:28:38,720 Speaker 1: weary of legalization because that would suddenly open the door 474 00:28:38,760 --> 00:28:42,920 Speaker 1: to corporations to begin mass producing marijuana, mass growing operations 475 00:28:43,160 --> 00:28:46,440 Speaker 1: and just like blowout entire warehouses and just get like, 476 00:28:46,480 --> 00:28:49,440 Speaker 1: you know, a huge harvest that would eventually that that's 477 00:28:49,480 --> 00:28:51,360 Speaker 1: what small time growers are like, Yo, this is not 478 00:28:51,560 --> 00:28:53,920 Speaker 1: this is not the legalization opens up us. It's a 479 00:28:53,960 --> 00:28:56,880 Speaker 1: slippery door too, because that allows for what you're talking about, Jack, 480 00:28:56,960 --> 00:29:00,480 Speaker 1: is where Congress are these companies rather are saying, hey, well, 481 00:29:00,560 --> 00:29:03,680 Speaker 1: we're making like this super lab weed, Like that's so 482 00:29:03,800 --> 00:29:05,840 Speaker 1: fire like you're and we're gonna make it so cheap 483 00:29:05,840 --> 00:29:08,160 Speaker 1: because we can grow it in mass So it's yeah, 484 00:29:08,400 --> 00:29:10,600 Speaker 1: it's it's a very it's a it's a complex thing too. 485 00:29:10,880 --> 00:29:14,280 Speaker 1: Still smoke mom and pop weed our tea and the 486 00:29:14,320 --> 00:29:18,640 Speaker 1: weed for like, yeah, that's silver like weed. Yeah. We 487 00:29:19,520 --> 00:29:21,760 Speaker 1: I don't spoke anymore, but the last time I smoked 488 00:29:21,960 --> 00:29:24,440 Speaker 1: weed had gotten like so fucking strong. I was just 489 00:29:24,520 --> 00:29:35,840 Speaker 1: like completely I went Jeff Sessions, Uh, yeah, it's definitely 490 00:29:36,080 --> 00:29:39,440 Speaker 1: whoever the comedian is who is like, we're smoking cancer medicine, 491 00:29:39,800 --> 00:29:44,080 Speaker 1: Like that's how strong it is. That was definitely felt 492 00:29:44,080 --> 00:29:47,960 Speaker 1: true the last time I smoked. All Right, So that's 493 00:29:48,320 --> 00:29:51,200 Speaker 1: that's all I've got on opioids. Anything else before we 494 00:29:51,240 --> 00:29:53,120 Speaker 1: go to another break. I think what's interesting is when 495 00:29:53,240 --> 00:29:54,920 Speaker 1: you've talked about in the past about how your wife 496 00:29:54,920 --> 00:29:56,640 Speaker 1: deals with a lot of people who are hooked on 497 00:29:56,680 --> 00:30:01,000 Speaker 1: opioids and how it's it's even a very difficult situation 498 00:30:01,080 --> 00:30:03,120 Speaker 1: for doctors when you have to tell somebody who is 499 00:30:03,160 --> 00:30:06,640 Speaker 1: addicted to opioids that you are no longer giving them, 500 00:30:06,640 --> 00:30:09,600 Speaker 1: You're no longer prescribing them that drug, even though it's 501 00:30:09,600 --> 00:30:12,600 Speaker 1: for their own benefit, Like I'm sure that that's a 502 00:30:12,720 --> 00:30:15,160 Speaker 1: very tough thing for someone to deal with, and you 503 00:30:15,200 --> 00:30:19,760 Speaker 1: get I'm sure very aggressive. Oh yeah, they're they're inheriting 504 00:30:19,760 --> 00:30:23,400 Speaker 1: a patient population who are already hooked on these drugs 505 00:30:23,440 --> 00:30:27,000 Speaker 1: and who got hooked on them by doctors prescribing them. 506 00:30:27,040 --> 00:30:29,960 Speaker 1: So like they're not gonna be happy like somebody who 507 00:30:30,120 --> 00:30:33,440 Speaker 1: is a literal drug addict. And this is me talking 508 00:30:33,480 --> 00:30:36,600 Speaker 1: like this isn't what she says. Uh she can't like 509 00:30:36,640 --> 00:30:42,080 Speaker 1: talk about specific patients obviously because of uh doctor patient confidentiality, 510 00:30:42,160 --> 00:30:47,240 Speaker 1: but like just observing myself, they're inheriting a patient population 511 00:30:47,360 --> 00:30:50,720 Speaker 1: who are like drug addicts there, you know, the people 512 00:30:50,760 --> 00:30:52,880 Speaker 1: who like rob people on the street and ship and 513 00:30:52,920 --> 00:30:57,160 Speaker 1: like break into cars to steal the car stereo to 514 00:30:57,440 --> 00:31:05,120 Speaker 1: boost it at a Are you talking about anybody walking 515 00:31:05,120 --> 00:31:07,959 Speaker 1: around with the big boom box you know I'm talking 516 00:31:07,960 --> 00:31:13,680 Speaker 1: about like yeah whatever, But like so it's like drug 517 00:31:13,720 --> 00:31:16,640 Speaker 1: addicts can be scary people and so like standing in 518 00:31:17,640 --> 00:31:21,000 Speaker 1: standing in between them and being like, yo, you can't 519 00:31:21,120 --> 00:31:26,200 Speaker 1: have your drug, and yeah, like it can be a danger. 520 00:31:26,360 --> 00:31:28,760 Speaker 1: Especially the pattern that they're used to is go to doctor. 521 00:31:29,000 --> 00:31:32,400 Speaker 1: Doctor gives you drugs and then you're like good nah, 522 00:31:32,640 --> 00:31:34,720 Speaker 1: and then if the pattern has changed, like, my god, 523 00:31:34,760 --> 00:31:37,880 Speaker 1: I can really imagine that kinds of I mean, fun man, 524 00:31:37,880 --> 00:31:40,080 Speaker 1: I get mad when I don't eat, you know what 525 00:31:40,080 --> 00:31:42,600 Speaker 1: I mean? Yeah, yeah, yeah, No, Miles as a monster 526 00:31:42,640 --> 00:31:45,880 Speaker 1: when it doesn't eat. I mean, it's really scary. I 527 00:31:45,920 --> 00:31:48,320 Speaker 1: think my final thought on it is that I feel 528 00:31:48,320 --> 00:31:51,719 Speaker 1: like every black barber is vindicated right now because for 529 00:31:51,800 --> 00:31:54,160 Speaker 1: years they've been telling us that the government is behind 530 00:31:54,520 --> 00:31:56,520 Speaker 1: the drug problem in America, and they're like, hell, yeah, 531 00:31:56,560 --> 00:32:02,200 Speaker 1: I told you what I say. Yeah, you know what 532 00:32:02,200 --> 00:32:04,200 Speaker 1: I've been saying. I've been saying it for years. And 533 00:32:04,200 --> 00:32:06,200 Speaker 1: the now sixty minutes does it all of a sudden 534 00:32:06,200 --> 00:32:09,120 Speaker 1: everyone wants to believe sixty minutes, I think, go to 535 00:32:09,120 --> 00:32:12,440 Speaker 1: your black barbershops. Don't bind of CBS is bullshit. So 536 00:32:12,560 --> 00:32:17,120 Speaker 1: just now that uh Marino has, you know, withdrawn his 537 00:32:17,200 --> 00:32:21,719 Speaker 1: name from consideration as uh US drugs are, that means 538 00:32:21,960 --> 00:32:25,280 Speaker 1: that we have no head of the d e A. 539 00:32:25,760 --> 00:32:28,560 Speaker 1: I think there's like an acting administrator, but there's no 540 00:32:28,680 --> 00:32:31,160 Speaker 1: head of the d e A. Uh No, drugs are 541 00:32:32,000 --> 00:32:35,280 Speaker 1: no head of Health and Human Services. And that's in 542 00:32:35,280 --> 00:32:38,920 Speaker 1: the midst of you know, one of the worst drug epidemics. 543 00:32:38,960 --> 00:32:41,480 Speaker 1: I think they say it is the worst drug epidemic 544 00:32:41,520 --> 00:32:44,000 Speaker 1: in the history of the United States in terms of 545 00:32:44,240 --> 00:32:50,760 Speaker 1: lives lost. Um. And Trump, you know, he had like 546 00:32:50,880 --> 00:32:54,400 Speaker 1: Christie was in charge of what was it a panel 547 00:32:54,520 --> 00:32:58,480 Speaker 1: because yeah, yeah, and the Opioid Commission. And he came 548 00:32:58,480 --> 00:33:01,080 Speaker 1: out and was like, Okay, this is a huge emergency. 549 00:33:01,120 --> 00:33:03,280 Speaker 1: There's a nine eleven every week and a half, putting 550 00:33:03,320 --> 00:33:06,120 Speaker 1: it in terms that a East Coast politician can understand, 551 00:33:06,480 --> 00:33:11,840 Speaker 1: and uh, how many how many people fit in Yankee Stadium? Uh? 552 00:33:11,880 --> 00:33:15,120 Speaker 1: And so Trump came out of that meeting and was like, 553 00:33:15,520 --> 00:33:19,680 Speaker 1: all right, I am calling this a national emergency. We 554 00:33:19,760 --> 00:33:22,400 Speaker 1: are in a state of emergency. But he didn't like 555 00:33:22,480 --> 00:33:25,320 Speaker 1: officially declare it. I don't know if he even realized that, 556 00:33:25,360 --> 00:33:27,640 Speaker 1: like he needed to officially like that it was an 557 00:33:27,640 --> 00:33:30,280 Speaker 1: official declaration. Michael Scott in the office and they're like, 558 00:33:30,320 --> 00:33:32,600 Speaker 1: you have to declare bankruptcy, and he just goes out 559 00:33:32,600 --> 00:33:39,040 Speaker 1: the office like, I declare bankruptcy and right, right, it's 560 00:33:39,040 --> 00:33:43,200 Speaker 1: an official declaration that like frees up funding and uh, 561 00:33:43,320 --> 00:33:46,560 Speaker 1: he still has yet to do that. Um. I guess 562 00:33:46,600 --> 00:33:51,240 Speaker 1: the good news is that it is being prosecuted at 563 00:33:51,280 --> 00:33:55,120 Speaker 1: the local level. Uh, you know, they're arresting doctors who 564 00:33:55,240 --> 00:33:58,640 Speaker 1: are you know, just prescribing the ship out of these 565 00:33:58,680 --> 00:34:03,880 Speaker 1: pills and actually like having people die. Um. Two thousand fifteen, 566 00:34:04,360 --> 00:34:08,399 Speaker 1: we had our first doctor convicted of murder um, which 567 00:34:08,480 --> 00:34:12,479 Speaker 1: is that's wild man, Yeah, being convicted of just straight 568 00:34:12,560 --> 00:34:16,160 Speaker 1: up murder, not even like manslaughter. Second again, but at 569 00:34:16,200 --> 00:34:20,399 Speaker 1: the same time, like that is a really localized way 570 00:34:20,400 --> 00:34:24,680 Speaker 1: of attacking the problem. We're just letting the companies who 571 00:34:24,680 --> 00:34:27,279 Speaker 1: are you know, providing the pills continue to do so, 572 00:34:27,400 --> 00:34:31,080 Speaker 1: and just getting mad at the doctors who are you know, 573 00:34:31,280 --> 00:34:34,640 Speaker 1: like we said, dealing with drug addicts who are fucking 574 00:34:34,680 --> 00:34:38,480 Speaker 1: angry and like you know, physically threatening and you know, 575 00:34:38,600 --> 00:34:43,680 Speaker 1: saying like give me the drugs that are my right, 576 00:34:44,160 --> 00:34:46,440 Speaker 1: you know. So just like I was saying earlier, you know, 577 00:34:46,520 --> 00:34:48,920 Speaker 1: Stranger Things doesn't talk about this, but a show that 578 00:34:48,960 --> 00:34:51,040 Speaker 1: does is The Wire, and they talk about like how 579 00:34:51,080 --> 00:34:53,120 Speaker 1: like the police keep focusing on like those low level, 580 00:34:53,280 --> 00:34:56,120 Speaker 1: low level, mid level drug dealers and that's never gonna 581 00:34:56,120 --> 00:34:58,480 Speaker 1: solve the problem. That's kind of what these doctors are, right, 582 00:34:59,040 --> 00:35:02,120 Speaker 1: Doctors are your bodies. We can keep putting Bodie in jail, 583 00:35:02,160 --> 00:35:05,760 Speaker 1: but god, there must be a new Bodie. Rest in peace, Bodie. 584 00:35:06,040 --> 00:35:08,640 Speaker 1: All right, we're gonna take a quick break and we'll 585 00:35:08,680 --> 00:35:21,400 Speaker 1: be right back, and we're back. Uh. So I wanted 586 00:35:21,440 --> 00:35:25,520 Speaker 1: to talk in our last two stories. Uh, I wanted 587 00:35:25,560 --> 00:35:28,680 Speaker 1: to talk about the sweepstakes to be the location of 588 00:35:29,239 --> 00:35:34,279 Speaker 1: Amazon h Q two. Uh. And then Edgar, you wanted 589 00:35:34,320 --> 00:35:37,600 Speaker 1: to talk about Gordon Haywards. Oh, I'm gonna talk about it. 590 00:35:37,840 --> 00:35:47,760 Speaker 1: Oh yeah, I don't know. So I got that base ready. 591 00:35:48,280 --> 00:35:52,360 Speaker 1: There are all these towns like from Denver, which probably 592 00:35:52,400 --> 00:35:56,560 Speaker 1: heard of two, uh, down to Frisco, Texas that are uh, 593 00:35:56,960 --> 00:35:59,920 Speaker 1: part of the sweep steaks. Amazon has announced that they 594 00:36:00,120 --> 00:36:04,160 Speaker 1: are going to open their second headquarters, their first headquarters 595 00:36:04,200 --> 00:36:07,719 Speaker 1: obviously in Seattle. They're like, we're looking for the location 596 00:36:08,000 --> 00:36:11,920 Speaker 1: of our h Q two and you know, come at 597 00:36:12,000 --> 00:36:14,480 Speaker 1: us with your offers. And they've kind of opened up 598 00:36:14,520 --> 00:36:17,920 Speaker 1: this public bidding process where people are trying to woo 599 00:36:17,960 --> 00:36:21,720 Speaker 1: them via viral videos. Uh. We actually have a clip 600 00:36:21,840 --> 00:36:26,479 Speaker 1: from the viral video from Frisco, Texas. Uh city you've 601 00:36:26,520 --> 00:36:29,279 Speaker 1: probably never heard of, but that thinks that they can 602 00:36:29,280 --> 00:36:35,960 Speaker 1: get the second headquarters of Amazon. There. Amazon, you're growing 603 00:36:36,000 --> 00:36:38,759 Speaker 1: your business and we want to grow with you. That's 604 00:36:38,760 --> 00:36:42,360 Speaker 1: why we think Frisco, Texas is the perfect fit for 605 00:36:42,640 --> 00:36:47,240 Speaker 1: h Q two. Here in the city of Frisco, we live, work, 606 00:36:47,280 --> 00:36:53,360 Speaker 1: and play by our motto we have called the Energy 607 00:36:53,400 --> 00:36:56,480 Speaker 1: of Frisco. We've we've got it the flu, the Frisco flu. 608 00:36:56,920 --> 00:37:00,840 Speaker 1: Best place, best place to raise an athlete, best place 609 00:37:00,920 --> 00:37:05,560 Speaker 1: to relocate your business. According to my mom, Frisco is 610 00:37:05,680 --> 00:37:10,560 Speaker 1: primed to have you prime like Amazon Prime. Hey Alexa, 611 00:37:10,760 --> 00:37:15,200 Speaker 1: what where should Amazon located HQ two in Frisco, Texas? 612 00:37:16,040 --> 00:37:21,359 Speaker 1: Oh shit, Frisco. What an idea. So by the way, 613 00:37:21,480 --> 00:37:24,799 Speaker 1: literally every viral video created by every city ends with 614 00:37:24,840 --> 00:37:28,279 Speaker 1: that exact same bit where they're like, hey, Alexa, it's 615 00:37:28,360 --> 00:37:31,240 Speaker 1: just like this sort of it reminds me of early 616 00:37:31,320 --> 00:37:36,000 Speaker 1: twentieth century, Like America is being sucked dry by these monopolies, 617 00:37:36,120 --> 00:37:39,960 Speaker 1: and you know these small towns like they they've like 618 00:37:40,000 --> 00:37:43,000 Speaker 1: shut down all these mom and pop stores and uh, 619 00:37:43,200 --> 00:37:47,960 Speaker 1: you know, basically drank everyone's milkshake from you know, taking 620 00:37:48,000 --> 00:37:52,000 Speaker 1: all the resources from these small towns and what do 621 00:37:52,040 --> 00:37:54,640 Speaker 1: you what's going on pulling them from pulling them to 622 00:37:54,920 --> 00:37:58,120 Speaker 1: like Seattle in Arkansas. So this is what we're left 623 00:37:58,160 --> 00:38:00,960 Speaker 1: with is like a sweepstakes to get the big monopoly 624 00:38:01,040 --> 00:38:06,879 Speaker 1: to like come to your town and matter again. Yeah right, 625 00:38:07,640 --> 00:38:10,160 Speaker 1: I don't know. It's like a twenty one century version 626 00:38:10,200 --> 00:38:13,879 Speaker 1: of like Willy Wonka or like some Dickensie and Tail, 627 00:38:13,960 --> 00:38:17,400 Speaker 1: where like people are just like hoping against hope that 628 00:38:17,440 --> 00:38:21,920 Speaker 1: they get like the golden ticket that is about you 629 00:38:22,000 --> 00:38:25,040 Speaker 1: just hit me hard right now. I never thought, Yeah, 630 00:38:25,080 --> 00:38:28,400 Speaker 1: everybody's super poor. And then there's this like one giant 631 00:38:28,640 --> 00:38:32,960 Speaker 1: like corporate headquarters that is like a you know, golden 632 00:38:33,120 --> 00:38:36,959 Speaker 1: kingdom that you gets to. The movie version makes Willy 633 00:38:37,000 --> 00:38:41,920 Speaker 1: Wonka the hero. That's not right. You tear down my 634 00:38:42,080 --> 00:38:44,440 Speaker 1: tear down that myth. Well yeah, but I mean that, 635 00:38:45,239 --> 00:38:49,080 Speaker 1: you know, these monopolies are literally like sucking all these 636 00:38:49,120 --> 00:38:53,080 Speaker 1: towns across America dry. They're like bleeding them dry by, 637 00:38:53,120 --> 00:38:56,320 Speaker 1: you know, to putting all their stores, all their local 638 00:38:56,360 --> 00:38:59,480 Speaker 1: commerce out of business. So all we have left is 639 00:38:59,520 --> 00:39:02,399 Speaker 1: like hoping one of them will like come close by 640 00:39:02,480 --> 00:39:06,239 Speaker 1: and you know, shine a little light on on your 641 00:39:06,480 --> 00:39:11,080 Speaker 1: sad little town. If water Burger came to my town 642 00:39:11,160 --> 00:39:14,000 Speaker 1: and made like a water Burger park, I play there 643 00:39:14,040 --> 00:39:19,840 Speaker 1: every day. Well, So the other issue is that parts 644 00:39:20,440 --> 00:39:22,279 Speaker 1: so the other issue is no such thing as a 645 00:39:22,280 --> 00:39:27,120 Speaker 1: water burger park. But also so Amazon, Like, I don't 646 00:39:27,120 --> 00:39:29,640 Speaker 1: think these towns are going to get as much out 647 00:39:29,719 --> 00:39:33,280 Speaker 1: of this as they think they're going to. Uh. In Seattle, 648 00:39:33,680 --> 00:39:38,560 Speaker 1: Amazon being located, there's driven rapid gentrification. Uh So now 649 00:39:38,600 --> 00:39:42,880 Speaker 1: it's like instead of being like the place that birth grunge, 650 00:39:42,920 --> 00:39:46,080 Speaker 1: it's just a bunch of like rich dorks. Uh and 651 00:39:46,560 --> 00:39:49,920 Speaker 1: you know they there will be also lower paying jobs, 652 00:39:50,040 --> 00:39:55,200 Speaker 1: but that means that people who will work those lower 653 00:39:55,200 --> 00:39:58,400 Speaker 1: paying jobs will be have to move like further and 654 00:39:58,440 --> 00:40:01,960 Speaker 1: further out into the exer until uh. You know, there 655 00:40:02,000 --> 00:40:04,520 Speaker 1: was this story in the New York Times about a 656 00:40:04,560 --> 00:40:07,840 Speaker 1: person who worked for one of the big tech companies 657 00:40:07,920 --> 00:40:11,160 Speaker 1: in like a low wage job and she had to 658 00:40:11,840 --> 00:40:14,799 Speaker 1: wake up at two fifteen, take two trains and a 659 00:40:14,840 --> 00:40:16,960 Speaker 1: bus to get to work by seven am because she 660 00:40:16,960 --> 00:40:21,200 Speaker 1: couldn't afford anything nearby like where those companies are located. 661 00:40:21,239 --> 00:40:24,480 Speaker 1: But what if she wrote the water burger bus, the 662 00:40:24,480 --> 00:40:28,040 Speaker 1: water Burger Express, the water burger coaster that just takes 663 00:40:28,040 --> 00:40:34,080 Speaker 1: you to the Yeah, I mean much too far. So yeah, 664 00:40:34,080 --> 00:40:36,719 Speaker 1: and again like these jobs are like I beat also 665 00:40:36,880 --> 00:40:39,799 Speaker 1: too very like white collar or like like there are 666 00:40:39,880 --> 00:40:42,279 Speaker 1: many highly skilled jobs that I needed at these companies too, 667 00:40:42,760 --> 00:40:45,640 Speaker 1: that might not necessarily serve the communities that it'll make 668 00:40:45,680 --> 00:40:48,160 Speaker 1: the mayor super rich, so I understand why the mayors 669 00:40:48,160 --> 00:40:52,440 Speaker 1: are like super psyched about this, But good for everybody else. 670 00:40:52,480 --> 00:40:57,280 Speaker 1: And also Amazon is demanding and probably gonna get tax 671 00:40:57,320 --> 00:40:59,759 Speaker 1: breaks from wherever they end up getting located, so it's 672 00:40:59,760 --> 00:41:02,040 Speaker 1: not like it's the city is gonna get a lot 673 00:41:02,200 --> 00:41:06,840 Speaker 1: richer um. So yeah, I mean, obviously it'll be good 674 00:41:06,920 --> 00:41:10,959 Speaker 1: for property values, so you know, there are people who 675 00:41:11,040 --> 00:41:14,640 Speaker 1: will get rich besides the mayor, I guess. But a 676 00:41:14,680 --> 00:41:18,600 Speaker 1: lot of it just feels like the you know, when 677 00:41:19,200 --> 00:41:24,799 Speaker 1: cities are pitching themselves as the location for future Olympics 678 00:41:25,080 --> 00:41:28,480 Speaker 1: and then you know, they end up with you know, 679 00:41:28,640 --> 00:41:33,400 Speaker 1: people getting displaced and a bunch of uh soccer stadiums 680 00:41:33,440 --> 00:41:37,640 Speaker 1: that are just crumbling and uh, you know, uh gondola 681 00:41:37,719 --> 00:41:41,480 Speaker 1: tour going over the favelas so that rich people can 682 00:41:41,760 --> 00:41:44,719 Speaker 1: ride over the ghetto and like point to all the 683 00:41:44,760 --> 00:41:49,680 Speaker 1: poor people. It's just something that you know, people are 684 00:41:49,719 --> 00:41:52,279 Speaker 1: writing about that is I don't know, I find it 685 00:41:52,680 --> 00:41:55,919 Speaker 1: more depressing than other people seem to. Other people seem 686 00:41:56,000 --> 00:41:59,319 Speaker 1: to be like what a fun story. Everybody's competing for one. 687 00:41:59,360 --> 00:42:02,640 Speaker 1: It's like, no, everyone's been destroyed by this massive corporation. 688 00:42:02,800 --> 00:42:05,279 Speaker 1: And then ironically they're begging them to be like, okay, well, 689 00:42:05,280 --> 00:42:07,759 Speaker 1: can you just show us a little give us something 690 00:42:07,880 --> 00:42:11,040 Speaker 1: short of hope? Yea. I was excited for the start 691 00:42:11,120 --> 00:42:13,319 Speaker 1: until you bummed me out and I no longer have 692 00:42:13,760 --> 00:42:19,319 Speaker 1: Frisco fever Frisco Yeah, the Frisco flu Frisco fla. But 693 00:42:19,360 --> 00:42:22,600 Speaker 1: despite that sad story, has that changed your enthusiasm about 694 00:42:22,600 --> 00:42:25,800 Speaker 1: talking about Gordon Hayward's horrific leg break? Absolutely not dropped 695 00:42:25,800 --> 00:42:30,000 Speaker 1: the base. Let's end with some fun stuff. Uh. Two 696 00:42:30,040 --> 00:42:33,560 Speaker 1: days ago was my Holy Day, which was opening day 697 00:42:33,640 --> 00:42:36,720 Speaker 1: for the NBA, and I was very excited to watch 698 00:42:37,160 --> 00:42:40,160 Speaker 1: the Celtics play the calvs UM. I don't think that 699 00:42:40,200 --> 00:42:42,120 Speaker 1: it was an accident that those two teams played each other. 700 00:42:42,200 --> 00:42:44,880 Speaker 1: I think it was intentional, even though the trade didn't 701 00:42:44,880 --> 00:42:46,960 Speaker 1: happen yet. I think Adam Silver knew all along. So 702 00:42:47,000 --> 00:42:49,520 Speaker 1: I was very stoked for this high stakes game. Shout 703 00:42:49,520 --> 00:42:53,920 Speaker 1: out to young Asparato and then uh, in like about 704 00:42:54,120 --> 00:42:58,040 Speaker 1: five minutes into the game, Gordon Hayward landed on his 705 00:42:58,160 --> 00:43:03,120 Speaker 1: foot pretty awkwardly and his ankle twisted in the opposite direction, 706 00:43:03,600 --> 00:43:07,200 Speaker 1: and they showed it on live television and he's pretty 707 00:43:07,320 --> 00:43:10,839 Speaker 1: much out indefinitely, like a hard indefinitely with what they're 708 00:43:10,840 --> 00:43:13,960 Speaker 1: calling a fractured ankle. Yeah, but his ankle was pointing 709 00:43:14,000 --> 00:43:17,239 Speaker 1: the other direction. Um, it was one of the more 710 00:43:17,320 --> 00:43:23,080 Speaker 1: gruesome injuries, like in the history of nationally televised sporting event. Yeah, 711 00:43:23,160 --> 00:43:25,400 Speaker 1: they showed it on the jambotron and had to stop 712 00:43:25,440 --> 00:43:27,399 Speaker 1: the game for twenty minutes because there was so much 713 00:43:27,400 --> 00:43:30,040 Speaker 1: pandemonium in the stadium. I'm sure people are like dry heaving. 714 00:43:30,440 --> 00:43:33,680 Speaker 1: I mean, yeah, no one watching horrific leg breaks is like, 715 00:43:34,200 --> 00:43:36,840 Speaker 1: it's like the worst ship to see because you like, 716 00:43:36,880 --> 00:43:39,600 Speaker 1: I mean, because you have to imagine, it's hard to 717 00:43:39,600 --> 00:43:41,640 Speaker 1: look at someone's foot twists all day backwards and not 718 00:43:41,719 --> 00:43:46,120 Speaker 1: immediate things like look at your own foot. Who was 719 00:43:46,160 --> 00:43:49,320 Speaker 1: announcing that game, I want to say it was Kevin Harlan. 720 00:43:49,640 --> 00:43:53,040 Speaker 1: They knew immediately, but the way they were processing it 721 00:43:53,280 --> 00:43:56,479 Speaker 1: like live was like, oh, he's gone down. Oh god, yeah, 722 00:43:56,520 --> 00:43:58,799 Speaker 1: he's broken his like Gordon Horn, like you want you 723 00:43:58,840 --> 00:44:00,400 Speaker 1: knew he was just trying to scream up, Oh my 724 00:44:00,480 --> 00:44:03,840 Speaker 1: fucking guy. But he knew, Like, let me have some 725 00:44:03,880 --> 00:44:08,080 Speaker 1: sense of the most calm person here. All the players, 726 00:44:08,120 --> 00:44:10,040 Speaker 1: like you know, like how when someone's injured you try 727 00:44:10,080 --> 00:44:12,040 Speaker 1: to go down to like reach out to him. They 728 00:44:12,120 --> 00:44:15,520 Speaker 1: did that, saw the injury and just all dispersed, running 729 00:44:15,520 --> 00:44:20,840 Speaker 1: away screaming like it was the most insane. Well, it's 730 00:44:21,480 --> 00:44:24,319 Speaker 1: like he knew immediately because when Jaylen Brown still went 731 00:44:24,400 --> 00:44:26,480 Speaker 1: up for the put back dunk and almost landed on 732 00:44:26,520 --> 00:44:28,320 Speaker 1: it and then you need to see him like jump, 733 00:44:28,440 --> 00:44:30,640 Speaker 1: like hopping on his butt. It was just the most 734 00:44:30,840 --> 00:44:35,560 Speaker 1: insane scene. Uh. But that being said, all my friends 735 00:44:35,560 --> 00:44:38,440 Speaker 1: showed up late. So with with each person that showed up, 736 00:44:38,480 --> 00:44:40,640 Speaker 1: I would stop the game and be like, dude, you 737 00:44:40,640 --> 00:44:43,880 Speaker 1: gotta check this shot. And I've been doing that for 738 00:44:43,920 --> 00:44:47,680 Speaker 1: like the last two days of showing people. Why are 739 00:44:47,680 --> 00:44:49,959 Speaker 1: you obsessed with the horrific? Like what is it about 740 00:44:49,960 --> 00:44:52,400 Speaker 1: it that you're like that they showed it on live television. 741 00:44:52,480 --> 00:44:55,600 Speaker 1: It's insane that they were, like, you know, everyone needs 742 00:44:55,640 --> 00:44:57,880 Speaker 1: to see, like the guy had a perfect shot of it, 743 00:44:58,200 --> 00:45:00,640 Speaker 1: and it was like suddenly a war in injury happened 744 00:45:00,640 --> 00:45:02,640 Speaker 1: in the middle of the sport. It was just like 745 00:45:02,719 --> 00:45:05,359 Speaker 1: his leg was not there. I've never like I've never 746 00:45:05,400 --> 00:45:08,120 Speaker 1: seen that before. Yeah, I mean the Paul George one 747 00:45:08,200 --> 00:45:11,000 Speaker 1: was equally horrific, but they didn't show it like you 748 00:45:11,080 --> 00:45:14,239 Speaker 1: have to like zoom in to see it right. Well, 749 00:45:14,280 --> 00:45:16,799 Speaker 1: and you know that also happens pretty frequently, like in 750 00:45:16,920 --> 00:45:20,239 Speaker 1: professional soccer to like some fucking nasty's not gonna You're 751 00:45:20,280 --> 00:45:22,880 Speaker 1: not gonna get me to watch soccer, Miles. I'm sorry 752 00:45:23,440 --> 00:45:24,960 Speaker 1: even not even for the leg breaks, because I can 753 00:45:24,960 --> 00:45:26,680 Speaker 1: show you someone's if you thought, if you thought that 754 00:45:26,680 --> 00:45:28,400 Speaker 1: Gordon Hayward one is bad, I can show you one 755 00:45:28,440 --> 00:45:30,279 Speaker 1: is that you're gonna be like, oh, that was the 756 00:45:30,360 --> 00:45:32,800 Speaker 1: Pixar version of a leg break. I mean, I'm interested. 757 00:45:32,880 --> 00:45:36,080 Speaker 1: I got the Darren Darren Aronoski version of a sports 758 00:45:36,160 --> 00:45:38,319 Speaker 1: leg break. I'm going to be confused at the end 759 00:45:38,400 --> 00:45:44,600 Speaker 1: and realized that it's actually a religious movie. It just Darren, Yeah, 760 00:45:44,680 --> 00:45:48,240 Speaker 1: it was a mother reference. Um, it's about the creation 761 00:45:48,280 --> 00:45:51,239 Speaker 1: of a man. Yeah. I think the other issue is 762 00:45:51,280 --> 00:45:54,759 Speaker 1: that I genuinely like Paul George and Gordon Hayward and 763 00:45:54,880 --> 00:45:58,160 Speaker 1: so like, yeah, I think I would actually prefer to 764 00:45:58,160 --> 00:46:00,640 Speaker 1: watch soccer players like just break the like you don't 765 00:46:00,640 --> 00:46:05,120 Speaker 1: care about because they're like silva. Oh my god. I mean, 766 00:46:05,360 --> 00:46:10,360 Speaker 1: I'm gonna just see if Boston it's still gonna have 767 00:46:10,360 --> 00:46:11,960 Speaker 1: a good season. I mean, I feel like that was 768 00:46:12,000 --> 00:46:14,279 Speaker 1: like a significant pickup for them, and to lose him 769 00:46:14,320 --> 00:46:19,320 Speaker 1: like that, it's like, yeah, it's tough break um and 770 00:46:19,560 --> 00:46:22,600 Speaker 1: any anything fun to go out on guys, Oh I 771 00:46:22,640 --> 00:46:25,680 Speaker 1: have something fun. This is trend on the internet right 772 00:46:25,760 --> 00:46:28,879 Speaker 1: now from New Yorkers. It's like these like I guess 773 00:46:28,960 --> 00:46:31,360 Speaker 1: vines deads are like they're like these Twitter videos that 774 00:46:31,440 --> 00:46:33,400 Speaker 1: I think are phenomenal where someone will go to a 775 00:46:33,480 --> 00:46:36,600 Speaker 1: restaurant and try a piece of food and really enjoy 776 00:46:36,680 --> 00:46:38,760 Speaker 1: it to the point that they start yelling and destroying 777 00:46:38,760 --> 00:46:41,960 Speaker 1: things in the restaurant and it's very fun. I saw 778 00:46:42,000 --> 00:46:47,320 Speaker 1: that dude just like guy took a bite of pizza, 779 00:46:47,480 --> 00:46:50,360 Speaker 1: lifted his friend up body slammed him on the table, 780 00:46:51,120 --> 00:46:53,160 Speaker 1: which I thought was funny. But then he like went 781 00:46:53,239 --> 00:46:55,920 Speaker 1: behind the counter at the pizza place as the pizza 782 00:46:55,920 --> 00:46:58,680 Speaker 1: place was like yo, man, stop, and he started like 783 00:46:58,719 --> 00:47:01,520 Speaker 1: tearing it down. I was like, yo, don't take it there, Yeah, 784 00:47:01,560 --> 00:47:04,000 Speaker 1: don't take it there. Like so funny as long as 785 00:47:04,080 --> 00:47:07,040 Speaker 1: you're just hurting yourself and your friend, that's cool. But 786 00:47:07,120 --> 00:47:13,080 Speaker 1: I mean that is a place of business. Um, but yeah, 787 00:47:13,600 --> 00:47:17,520 Speaker 1: his mean millennial sense of humor. You know, I'll tell 788 00:47:17,560 --> 00:47:20,920 Speaker 1: you what kids these days? All right, Edgar, thank you 789 00:47:20,960 --> 00:47:23,920 Speaker 1: so much for coming on for the second time, two times. 790 00:47:24,080 --> 00:47:27,640 Speaker 1: It's my pleasure. I want those Alec Baldwin numbers. Yeah, uh, Edgar? 791 00:47:27,640 --> 00:47:30,440 Speaker 1: Where can people find you? Find me on Instagram at 792 00:47:30,520 --> 00:47:33,279 Speaker 1: awful Graham. You can find me on Twitter at Edgar 793 00:47:33,360 --> 00:47:36,840 Speaker 1: Montazer and that's m O M P L A I 794 00:47:37,239 --> 00:47:39,640 Speaker 1: S I R. And then you can find me on 795 00:47:39,920 --> 00:47:43,600 Speaker 1: us be Harold Night, check me out with my team 796 00:47:43,840 --> 00:47:47,560 Speaker 1: Lee Roy Monday's Thursdays or Fridays in Los Angeles, in 797 00:47:47,640 --> 00:47:50,120 Speaker 1: Los Angeles. If in Los Angeles you used to be 798 00:47:50,120 --> 00:47:53,000 Speaker 1: Franklin or sometimes used to be Sunset Miles. Where can 799 00:47:53,000 --> 00:47:56,440 Speaker 1: people find you? Uh? You know, even despite at Balder 800 00:47:56,520 --> 00:47:58,319 Speaker 1: the Brave calling me on telling people where you can't 801 00:47:58,320 --> 00:48:01,240 Speaker 1: find me, and you will find me googling some horrific 802 00:48:01,280 --> 00:48:03,040 Speaker 1: leg breaks that show Egar right now, so we can 803 00:48:03,120 --> 00:48:06,200 Speaker 1: end this ship. You will watch some soccer and you 804 00:48:06,239 --> 00:48:09,640 Speaker 1: can find me on Twitter at Jack Underscore ol'brian. You 805 00:48:09,680 --> 00:48:13,040 Speaker 1: can follow the Daily Zeitgeist at Daily Zeitgeist on Twitter 806 00:48:13,520 --> 00:48:17,280 Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook page, 807 00:48:17,360 --> 00:48:21,080 Speaker 1: The Daily Zeitgeist Comes the Air fan be our friend, 808 00:48:21,680 --> 00:48:25,640 Speaker 1: uh family, Yeah, that's that's a little too far. That's 809 00:48:25,719 --> 00:48:29,600 Speaker 1: kind of cult deep. Uh and oh and we will 810 00:48:29,640 --> 00:48:32,440 Speaker 1: have footnotes up in the next week or so. And 811 00:48:32,560 --> 00:48:34,920 Speaker 1: it's also promising that the page will be nothing but 812 00:48:35,000 --> 00:48:37,600 Speaker 1: those videos of those guys in New York trying food 813 00:48:37,640 --> 00:48:42,120 Speaker 1: and soccer. Leg Rix, all right, talk to you guys tomorrow, 814 00:48:42,320 --> 00:48:45,480 Speaker 1: because it is a daily show. Is that my catchphrase? Now? 815 00:48:46,960 --> 00:48:49,440 Speaker 1: It's not great, it's not great. We're working on it. 816 00:48:49,880 --> 00:48:59,440 Speaker 1: I be so fucking good. Fine your milk shake, I 817 00:49:00,120 --> 00:49:00,520 Speaker 1: get off.