1 00:00:01,800 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,160 --> 00:00:10,719 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Katty, I'm strong 3 00:00:10,760 --> 00:00:17,400 Speaker 1: and and he Armstrong and Eddy. 4 00:00:23,280 --> 00:00:23,960 Speaker 2: M h S. 5 00:00:24,079 --> 00:00:38,600 Speaker 1: Secretary Christine Norman must resign or face impeachment away. I 6 00:00:38,680 --> 00:00:45,320 Speaker 1: don't know. Oh my god, Oh my god, he's get 7 00:00:45,400 --> 00:00:54,080 Speaker 1: a napkin. Well, no, we will no, no, no, we 8 00:00:54,160 --> 00:00:56,560 Speaker 1: will continue this. We're not going to get away. We 9 00:00:58,240 --> 00:00:59,680 Speaker 1: might be the clip of the ear. I need a 10 00:00:59,760 --> 00:01:04,200 Speaker 1: nap I appreciated the one gallon in the background who 11 00:01:04,280 --> 00:01:06,200 Speaker 1: is kind of doing a play by play because sometimes 12 00:01:06,280 --> 00:01:09,080 Speaker 1: it's tough to that's a gnat sound natural sound what 13 00:01:09,160 --> 00:01:12,280 Speaker 1: we call, you know, when a news event happens and 14 00:01:12,520 --> 00:01:14,320 Speaker 1: there's a gallon in the background saying, oh my god, 15 00:01:14,360 --> 00:01:17,520 Speaker 1: he's sprayed. There was something and it smells terrible. So 16 00:01:17,640 --> 00:01:19,800 Speaker 1: it's like, oh, that must be somebody getting sprayed with 17 00:01:19,880 --> 00:01:23,720 Speaker 1: something that smells terrible. Excellent, Yeah, illhan Omar calling for 18 00:01:24,440 --> 00:01:27,800 Speaker 1: Christy Nome's head on a platter metaphorically speaking, and some 19 00:01:28,360 --> 00:01:31,920 Speaker 1: yoho gets up and spraser with something or other walks 20 00:01:31,959 --> 00:01:33,720 Speaker 1: up to her, gets awfully close to her in spraser 21 00:01:33,800 --> 00:01:35,960 Speaker 1: with something which is damn scary because there's been a 22 00:01:36,160 --> 00:01:40,800 Speaker 1: syringe ye jabbies certainly damn scary though. I mean it's 23 00:01:40,800 --> 00:01:43,280 Speaker 1: happened around the world where people have been sprayed with 24 00:01:44,000 --> 00:01:46,400 Speaker 1: you know, acid. That happened to old Navalney before he 25 00:01:46,520 --> 00:01:51,440 Speaker 1: was murdered by Putin. But uh, nerve agent, nerve agents, acids. 26 00:01:51,720 --> 00:01:54,560 Speaker 1: There's all kinds of bad stuff that you can do. 27 00:01:54,840 --> 00:01:58,960 Speaker 1: I I was surprised how calmly she took it. I mean, 28 00:02:00,040 --> 00:02:02,559 Speaker 1: I mean, she you know, she's she's grown up differently 29 00:02:02,640 --> 00:02:04,760 Speaker 1: than I am. She grew up in a different culture 30 00:02:04,840 --> 00:02:06,960 Speaker 1: than I did, and I don't know what her childhood 31 00:02:07,080 --> 00:02:11,200 Speaker 1: was like or whatever. But I mean she somebody grabs 32 00:02:11,240 --> 00:02:13,079 Speaker 1: the dude immediately, a number of people grab the dude, 33 00:02:13,160 --> 00:02:15,959 Speaker 1: but she's taken steps toward him, toward the guy with 34 00:02:16,080 --> 00:02:19,560 Speaker 1: her fist cocked, not like backing away. Where's my production. 35 00:02:19,840 --> 00:02:23,000 Speaker 1: She's going toward the guy, ready to punch him. Be held, 36 00:02:23,880 --> 00:02:28,320 Speaker 1: she reacted. She very cool. Yeah, perhaps too cool now 37 00:02:28,480 --> 00:02:32,880 Speaker 1: boy So Trump told ABC News, what do you think 38 00:02:32,880 --> 00:02:35,519 Speaker 1: about what happened with ilhan Omar? Trump said, I don't 39 00:02:35,520 --> 00:02:37,640 Speaker 1: think about her at all. I think she's a fraud. 40 00:02:37,720 --> 00:02:40,079 Speaker 1: She probably had her self sprayed knowing her. That's what 41 00:02:40,200 --> 00:02:46,560 Speaker 1: Trump told ABC. I don't like that at all, because 42 00:02:46,600 --> 00:02:49,480 Speaker 1: we do live. I mean, you know, Charlie Kirk got shot. 43 00:02:49,880 --> 00:02:53,960 Speaker 1: I mean we did, Trump got shot. We we live 44 00:02:54,000 --> 00:02:59,160 Speaker 1: in a time where people are being Kavanaugh nearly assassinated 45 00:02:59,480 --> 00:03:04,120 Speaker 1: or assassinated or hurt or attacked or whatever. And to 46 00:03:04,240 --> 00:03:07,480 Speaker 1: immediately jump to the this is fake card is probably 47 00:03:07,600 --> 00:03:11,280 Speaker 1: not good. Well, I know it's not good. No, again, 48 00:03:11,560 --> 00:03:15,120 Speaker 1: we don't. There's no article to power to own the libs. 49 00:03:16,040 --> 00:03:18,639 Speaker 1: You know what you got people for that? Do I think? 50 00:03:18,800 --> 00:03:20,799 Speaker 1: Do you think that she's the sort of person that 51 00:03:20,840 --> 00:03:23,480 Speaker 1: would stage this to try to get some of her 52 00:03:24,280 --> 00:03:27,280 Speaker 1: momentum back after a couple I think bad weeks for 53 00:03:27,360 --> 00:03:29,839 Speaker 1: her and her people. Yes, I do think, she said 54 00:03:29,880 --> 00:03:32,919 Speaker 1: to hers as more and more people realize she hates America, 55 00:03:33,080 --> 00:03:35,720 Speaker 1: she wants sharia law, and is a She might be 56 00:03:36,000 --> 00:03:37,880 Speaker 1: she might be caught up on that whole fraud thing. 57 00:03:38,320 --> 00:03:40,840 Speaker 1: She might be part of that nine billion dollar fraud situation. 58 00:03:41,000 --> 00:03:43,520 Speaker 1: Oh yeah, all of her contacts and donors and all 59 00:03:43,560 --> 00:03:46,160 Speaker 1: were making millions and millions of dollars. And she was 60 00:03:46,200 --> 00:03:49,680 Speaker 1: the one who advocated a congressional law that rolled back 61 00:03:49,880 --> 00:03:53,160 Speaker 1: over sight Wow, that's such a weird coincidences. But to 62 00:03:53,240 --> 00:03:55,480 Speaker 1: be fair, well, let me bottom line it. So, do 63 00:03:55,600 --> 00:03:58,400 Speaker 1: I think she's the kind of person who hauld fake 64 00:03:58,440 --> 00:03:59,840 Speaker 1: an attack like that? Yes? 65 00:04:00,080 --> 00:04:00,280 Speaker 3: I do. 66 00:04:00,520 --> 00:04:03,320 Speaker 1: Do I think she did? Probably not, Oh my god, 67 00:04:08,360 --> 00:04:10,440 Speaker 1: I don't think she is terrible. I don't think she 68 00:04:10,520 --> 00:04:14,120 Speaker 1: probably did either. But I mean the Trump's second assassination attempt, 69 00:04:14,720 --> 00:04:18,160 Speaker 1: if people had said he realized how much sympathy he 70 00:04:18,279 --> 00:04:20,480 Speaker 1: got out of the first one, it's starting to wane, 71 00:04:20,640 --> 00:04:22,600 Speaker 1: so they staged another one out of thought. That was 72 00:04:22,680 --> 00:04:27,640 Speaker 1: abhorrent for people to say that, right, And is Trump 73 00:04:27,720 --> 00:04:31,200 Speaker 1: the sort of guy that would do crazy stuff? Yes? So, 74 00:04:31,720 --> 00:04:33,320 Speaker 1: I mean I would have found it abhorrant for some 75 00:04:33,600 --> 00:04:37,360 Speaker 1: pundit to go on the air and say that, right. Yeah, yeah, 76 00:04:38,000 --> 00:04:41,200 Speaker 1: especially the time they're live in. It's troubling now the 77 00:04:41,279 --> 00:04:45,520 Speaker 1: Overton window, which is wider open than I ever thought 78 00:04:45,520 --> 00:04:48,080 Speaker 1: it would be. You have a number of town hall 79 00:04:48,160 --> 00:04:52,560 Speaker 1: meetings or press conferences or what have you interrupted violently 80 00:04:53,040 --> 00:04:56,840 Speaker 1: or in a frightening manner, either by activists or that 81 00:04:57,800 --> 00:05:05,360 Speaker 1: half wit jackass Alex Padie, Senator from California who staged 82 00:05:05,440 --> 00:05:11,560 Speaker 1: that ridiculous protest interruption of Christy Nomes press conference in LA. 83 00:05:12,440 --> 00:05:14,719 Speaker 1: It's just that sort of thing now is becoming common. 84 00:05:14,960 --> 00:05:16,960 Speaker 1: And in fact, there are quite a few congress people 85 00:05:17,120 --> 00:05:19,520 Speaker 1: who've stopped doing town hall meetings where they get to 86 00:05:19,560 --> 00:05:23,120 Speaker 1: talk to the constituents. That's not a room and answer questions. Good, 87 00:05:23,240 --> 00:05:27,280 Speaker 1: it's too dangerous. And you know, each side, primarily lefties, 88 00:05:28,160 --> 00:05:30,920 Speaker 1: have realized, oh, I can show up to their meeting 89 00:05:31,440 --> 00:05:34,160 Speaker 1: scream there's four of us, five of us. We screamed 90 00:05:34,200 --> 00:05:37,720 Speaker 1: through the whole thing. The news will report the Republican 91 00:05:37,839 --> 00:05:41,120 Speaker 1: congressman's town all was interrupted by protesters who are angry 92 00:05:41,160 --> 00:05:46,440 Speaker 1: about his ugly fascist Republican tactics and policies. 93 00:05:47,160 --> 00:05:47,640 Speaker 2: And so the. 94 00:05:47,839 --> 00:05:50,800 Speaker 1: Republicans are thinking, what's the point of this now, can't 95 00:05:50,800 --> 00:05:54,400 Speaker 1: get anything done. People can't hear me, I can't hear them. 96 00:05:54,520 --> 00:05:58,520 Speaker 1: So never mind. Yeah, not a good place. You used 97 00:05:58,520 --> 00:06:02,760 Speaker 1: to be such a great country. So you don't think 98 00:06:02,920 --> 00:06:08,400 Speaker 1: she uh staged it? Yeah? I doubt it. I'm glad 99 00:06:08,440 --> 00:06:12,200 Speaker 1: it wasn't something awful. Boy, she's got some impressive looking goons. 100 00:06:13,040 --> 00:06:15,520 Speaker 1: Her goons are big, some bitches, and tell you what. 101 00:06:15,640 --> 00:06:19,159 Speaker 1: The one guy who wrestled the aforementioned Yoho to the ground. 102 00:06:19,400 --> 00:06:21,560 Speaker 1: That's a reference to an old silly clip of ours. 103 00:06:21,600 --> 00:06:26,440 Speaker 1: But he had to be you know, six six three 104 00:06:26,640 --> 00:06:30,840 Speaker 1: seventy man Mountain. Is any information come out on that 105 00:06:31,000 --> 00:06:35,600 Speaker 1: guy the spray? Yeah, yeah, let's see. I've seen the mugshot. 106 00:06:35,839 --> 00:06:40,240 Speaker 1: He looks a little hungover in the mug shot. I 107 00:06:40,360 --> 00:06:43,960 Speaker 1: recognize those bleary eyes. It's a dude, Yeah yeah, big 108 00:06:44,040 --> 00:06:49,520 Speaker 1: old describe him physically a white fella where I've got 109 00:06:49,600 --> 00:06:52,960 Speaker 1: the news report on it. Uh, kind of a stocky 110 00:06:53,520 --> 00:06:58,200 Speaker 1: white guy. Every man, kay, every man who walks up 111 00:06:58,240 --> 00:07:01,240 Speaker 1: to congress people and sprays them with random liquids. I mean, 112 00:07:01,360 --> 00:07:03,320 Speaker 1: so what is your goal? You're a full on crazy 113 00:07:03,400 --> 00:07:07,240 Speaker 1: person if you just find some stinky liquid to spray 114 00:07:07,320 --> 00:07:10,480 Speaker 1: on a congress person, Well, where do you Where do 115 00:07:10,560 --> 00:07:13,680 Speaker 1: you go to the stinky liquid store? I mean, we 116 00:07:13,760 --> 00:07:16,280 Speaker 1: have not spent nearly enough time you're trying to figure 117 00:07:16,320 --> 00:07:18,880 Speaker 1: out what liquid that was. But it's going to change 118 00:07:18,960 --> 00:07:21,200 Speaker 1: his life because he's going to be charged with all 119 00:07:21,480 --> 00:07:26,600 Speaker 1: kinds of I gotta believe federal crimes that are really bad, uh, 120 00:07:27,200 --> 00:07:30,960 Speaker 1: really bad, like well like change your life bad. Yeah, 121 00:07:30,960 --> 00:07:34,520 Speaker 1: I would agree. I would agree. This is ugly and 122 00:07:34,640 --> 00:07:36,760 Speaker 1: terrible and stupid. We can't have it, and she's an 123 00:07:36,800 --> 00:07:41,080 Speaker 1: abhorrant human being, absolutely absolutely abhorrible hates the country. Yeah 124 00:07:41,160 --> 00:07:43,920 Speaker 1: I would agree, but god, she's like she probably weighs 125 00:07:44,000 --> 00:07:46,280 Speaker 1: ninety eight pounds. She had her fist cocked, was going 126 00:07:46,320 --> 00:07:49,200 Speaker 1: to go punch the guy. I kind of like that. 127 00:07:49,960 --> 00:07:54,080 Speaker 1: Police identify the suspect as Anthony J. Kesmerza case a 128 00:07:54,280 --> 00:07:58,000 Speaker 1: Polish extraction, has about thirty seven consonants in his name's 129 00:07:58,040 --> 00:08:03,200 Speaker 1: fifty five years old, youthful, evidently spraying Congress people keeps 130 00:08:03,240 --> 00:08:07,440 Speaker 1: you young. Booked into the local jail on a suspicion 131 00:08:07,480 --> 00:08:09,240 Speaker 1: of assault, but there are many more charges to come. 132 00:08:09,400 --> 00:08:11,840 Speaker 1: Oh yeah, oh yeah, all kinds of federal charges, probably 133 00:08:12,600 --> 00:08:15,400 Speaker 1: the terrorism or assassination related that are going to put 134 00:08:15,480 --> 00:08:18,840 Speaker 1: him behind bars for maybe a long long time. So 135 00:08:19,080 --> 00:08:22,840 Speaker 1: it's unlikely Polish American Minnesota's they're gonna spray you with 136 00:08:22,960 --> 00:08:25,920 Speaker 1: anything funky today. But there's a decent chance some junkie 137 00:08:26,000 --> 00:08:27,400 Speaker 1: is going to break into your house and try to 138 00:08:27,440 --> 00:08:29,960 Speaker 1: steal all your stuff you've worked so hard for and 139 00:08:30,120 --> 00:08:32,400 Speaker 1: scare the hell out of your family. You don't want that. 140 00:08:32,960 --> 00:08:37,040 Speaker 1: You want simply safe home security because simply safe uses 141 00:08:37,120 --> 00:08:41,040 Speaker 1: AI powered cameras outside your home in conjunction with their 142 00:08:41,559 --> 00:08:45,800 Speaker 1: live monitoring agents to stop the breaking before it happens. 143 00:08:45,960 --> 00:08:47,679 Speaker 1: I got the cameras, I got the censors, I got 144 00:08:47,720 --> 00:08:52,240 Speaker 1: the setup. I really really like it. AI plays a 145 00:08:52,320 --> 00:08:55,000 Speaker 1: role in this, and with simply say, there are agents 146 00:08:55,080 --> 00:08:57,160 Speaker 1: that can talk to the bad guys through the camera, 147 00:08:57,280 --> 00:08:59,160 Speaker 1: let them know they're being watched and that police are 148 00:08:59,200 --> 00:09:01,199 Speaker 1: on the way. They can blast a siren and a 149 00:09:01,400 --> 00:09:03,960 Speaker 1: light and all that sort of stuff. It's really really 150 00:09:04,000 --> 00:09:06,319 Speaker 1: a cool idea. Yeah, and other systems might give you 151 00:09:06,320 --> 00:09:08,800 Speaker 1: a camera and a notification, but they need you to 152 00:09:08,920 --> 00:09:11,800 Speaker 1: see the alert and then deal with it. What if 153 00:09:11,840 --> 00:09:14,120 Speaker 1: you're on a plane, you're in a meeting, you're asleep, 154 00:09:14,240 --> 00:09:16,400 Speaker 1: you're making sweet love. I don't know what you're doing, 155 00:09:16,440 --> 00:09:19,280 Speaker 1: it's none of my business. Simply safe monitoring agents have 156 00:09:19,360 --> 00:09:20,959 Speaker 1: your back even when you're busy, asleep or on a 157 00:09:21,000 --> 00:09:22,960 Speaker 1: plane or making sweet love. And right now you can 158 00:09:23,000 --> 00:09:25,319 Speaker 1: get fifty percent off any new system this month only. 159 00:09:25,320 --> 00:09:27,880 Speaker 1: It's a great time to upgrade to security that actually 160 00:09:27,920 --> 00:09:30,000 Speaker 1: stops crying before it starts. Go to simply safetot com 161 00:09:30,080 --> 00:09:33,160 Speaker 1: slash armstrong, Simply safetoc com slash Armstrong there's no safe, 162 00:09:33,440 --> 00:09:35,440 Speaker 1: like simply safe. Just saw a video on the TV. 163 00:09:35,600 --> 00:09:39,120 Speaker 1: Now I know the name of the tennis star Cocoa Groff, 164 00:09:40,520 --> 00:09:43,679 Speaker 1: because she's done something in recent tournaments something, but I 165 00:09:43,720 --> 00:09:46,280 Speaker 1: don't remember what it was, like said things or done things. 166 00:09:46,320 --> 00:09:49,520 Speaker 1: There's controversy around her anyway. She's at the Australian Open 167 00:09:49,559 --> 00:09:51,800 Speaker 1: and lost her s yesterday and there's a video of 168 00:09:51,880 --> 00:09:53,640 Speaker 1: her spatch and her racket. Have you seen that? 169 00:09:54,160 --> 00:09:54,199 Speaker 2: No? 170 00:09:54,640 --> 00:09:58,080 Speaker 1: Oh my god. You know, like when people really really 171 00:09:58,679 --> 00:10:01,840 Speaker 1: lose it over the and she's just over and over again, 172 00:10:01,920 --> 00:10:05,679 Speaker 1: smash it on the ground. You gotta kill it dead. 173 00:10:06,000 --> 00:10:11,040 Speaker 1: You gotta finish the job. Why can't I? She just 174 00:10:11,160 --> 00:10:14,679 Speaker 1: keeps going and going. It's quite hilarious. My headline is 175 00:10:14,880 --> 00:10:18,880 Speaker 1: overheated Coco. How do you like that? Wow? Wow? Yeah, 176 00:10:18,920 --> 00:10:23,880 Speaker 1: that's good stuff. Exploding colon syndrome, the lawsuits hitting those 177 00:10:23,960 --> 00:10:27,240 Speaker 1: miracle weight loss drugs. God, I was so excited about 178 00:10:27,280 --> 00:10:29,800 Speaker 1: getting on one of those glps and like really getting 179 00:10:29,800 --> 00:10:35,480 Speaker 1: the hollow cheeks, getting that look. That was sexy, glad 180 00:10:35,520 --> 00:10:39,120 Speaker 1: I saw that. Don't ever do that again. Oh we 181 00:10:39,200 --> 00:10:40,880 Speaker 1: get that in other stories all the way. Stay here, 182 00:10:43,000 --> 00:10:47,080 Speaker 1: he yie, how involved are you in the president's day 183 00:10:47,120 --> 00:10:47,400 Speaker 1: to day. 184 00:10:48,120 --> 00:10:50,959 Speaker 3: I give him my advice and I tell him what 185 00:10:51,120 --> 00:10:57,240 Speaker 3: I think. Sometimes he listens, sometimes he doesn't. But I 186 00:10:57,360 --> 00:11:01,480 Speaker 3: am here to support him. I think it's very important 187 00:11:01,600 --> 00:11:03,040 Speaker 3: to have open communication. 188 00:11:04,480 --> 00:11:06,640 Speaker 1: She got a documentary out or something like that. That's 189 00:11:06,679 --> 00:11:09,160 Speaker 1: Trump's wife. I'm going to be consistent through the years 190 00:11:09,240 --> 00:11:11,760 Speaker 1: of saying, who gives a crap what the first lady 191 00:11:11,840 --> 00:11:17,559 Speaker 1: thinks about anything. I've never cared what the spouse subby 192 00:11:17,640 --> 00:11:20,520 Speaker 1: presidents thinks, or the fact that they have a staff 193 00:11:20,559 --> 00:11:23,040 Speaker 1: and agenda and everything like that. I think it's just nuts. 194 00:11:23,280 --> 00:11:25,640 Speaker 1: We're not royal families in the United States. That's the 195 00:11:25,679 --> 00:11:29,240 Speaker 1: whole point. Yeah, people want that for some reason. I 196 00:11:29,280 --> 00:11:32,000 Speaker 1: don't quite get it. They want celebrities. I just want 197 00:11:32,160 --> 00:11:35,760 Speaker 1: perfect She seems like nice enough. I got no problem 198 00:11:35,800 --> 00:11:38,439 Speaker 1: with that. But just like no books, no tours, no 199 00:11:38,840 --> 00:11:42,200 Speaker 1: no treating them like royalty, wanting to know their thoughts. 200 00:11:42,320 --> 00:11:45,680 Speaker 1: I just don't care. Right right, you're hateful toward to women. 201 00:11:45,720 --> 00:11:51,880 Speaker 1: I get it. Okay, So there are millions and millions 202 00:11:51,960 --> 00:11:55,760 Speaker 1: of people on these GLP one drugs, thirty one million people. 203 00:11:55,800 --> 00:11:59,480 Speaker 1: That's twelve percent of America adults, well of adults Okay, 204 00:11:59,520 --> 00:12:02,440 Speaker 1: twelve percent of American adults are on the I predicted 205 00:12:02,480 --> 00:12:04,360 Speaker 1: when these first hit the market that if they work out, 206 00:12:04,679 --> 00:12:07,959 Speaker 1: like practically everybody's going to be on one, and the 207 00:12:08,280 --> 00:12:12,040 Speaker 1: people who are having serious problems with them serious side effects. 208 00:12:12,200 --> 00:12:16,400 Speaker 1: Is a very very small sliver of that cohort, certainly, 209 00:12:16,559 --> 00:12:19,440 Speaker 1: But some of the uh, some of the problems which 210 00:12:19,480 --> 00:12:22,400 Speaker 1: are figuring into several lawsuits going on right now, are 211 00:12:22,800 --> 00:12:25,839 Speaker 1: rather ear catching. You got a Maryland truck driver who 212 00:12:25,880 --> 00:12:28,719 Speaker 1: suffered an eye stroke that left him blind, first in 213 00:12:28,840 --> 00:12:32,800 Speaker 1: one eye, then the other. Oh, good lord, I'm sorry. 214 00:12:32,880 --> 00:12:35,920 Speaker 1: This is gonna freak me out. Plus probably you good 215 00:12:35,920 --> 00:12:39,199 Speaker 1: folks too. A Louisiana woman vomited for weeks after being 216 00:12:39,280 --> 00:12:42,720 Speaker 1: diagnosed with a brain dysfunction typically caused by a vitamin deficiency. 217 00:12:43,240 --> 00:12:46,800 Speaker 1: An Oklahoma real estate agent hurt her colon pop as 218 00:12:46,840 --> 00:12:49,199 Speaker 1: it ruptured while she drove her granddaughter home from a 219 00:12:49,280 --> 00:12:54,199 Speaker 1: softball game. Quote, what colan blew up? I hear you 220 00:12:54,360 --> 00:12:57,880 Speaker 1: might hear that my colon blew up, literally blew up. 221 00:12:58,000 --> 00:13:06,600 Speaker 1: She said. Well, now, these are exciting examples, but that's 222 00:13:06,640 --> 00:13:09,640 Speaker 1: one word. You got thirty million people on these drugs. 223 00:13:09,679 --> 00:13:15,000 Speaker 1: I mean, how many have to have bad experiences before. 224 00:13:15,080 --> 00:13:19,319 Speaker 1: It's a big deal. Well, you know, me and plaintiff's 225 00:13:19,320 --> 00:13:22,600 Speaker 1: attorneys and the lawsuits and what they've done to America. 226 00:13:22,840 --> 00:13:25,560 Speaker 1: Just I'll tell you. The claim is the drugs makers 227 00:13:25,720 --> 00:13:29,360 Speaker 1: failed to sufficiently warn of the risk of certain severe injuries. 228 00:13:29,559 --> 00:13:31,800 Speaker 1: Oh my god. Right, But that's how we end up 229 00:13:31,880 --> 00:13:35,800 Speaker 1: with every drug you take lists every possible thing that 230 00:13:35,880 --> 00:13:38,920 Speaker 1: could ever happen to you in your life negative on 231 00:13:39,080 --> 00:13:41,040 Speaker 1: the list, so that they've covered their basis so they 232 00:13:41,080 --> 00:13:44,360 Speaker 1: don't get sued. You take any medicine may cause you know, 233 00:13:44,520 --> 00:13:48,600 Speaker 1: excitability or drowsiness or you know, list nine thousand things. 234 00:13:48,800 --> 00:13:51,160 Speaker 1: So these drugs didn't cover all those bases. And it's 235 00:13:51,200 --> 00:13:53,560 Speaker 1: not sure that does us any good. They didn't warn 236 00:13:53,640 --> 00:13:56,439 Speaker 1: me about the ilias. Stay tuned for details on the 237 00:13:56,480 --> 00:14:00,640 Speaker 1: ilias right after this. Seventy five percent of the lawsuits 238 00:14:00,679 --> 00:14:05,400 Speaker 1: included an allegation of gastrope areesis, also known as stomach paralysis, 239 00:14:05,880 --> 00:14:08,640 Speaker 1: chronic condition where the stomach slowser stops emptying food into 240 00:14:08,640 --> 00:14:11,640 Speaker 1: the small intestine. Eighteen percent of the cases led to 241 00:14:11,880 --> 00:14:15,920 Speaker 1: the drugs caused ilias, a condition in which the vowel 242 00:14:16,040 --> 00:14:19,120 Speaker 1: muscles failed to push food and waste out of the body. 243 00:14:20,360 --> 00:14:24,520 Speaker 1: Oh and then they got smaller numbers who have other 244 00:14:24,840 --> 00:14:25,600 Speaker 1: weird things. 245 00:14:25,800 --> 00:14:26,000 Speaker 2: Yeah. 246 00:14:27,000 --> 00:14:30,760 Speaker 1: I mean, if they are seriously have a problem, we 247 00:14:30,880 --> 00:14:33,840 Speaker 1: need to know that. But I don't like this thing 248 00:14:34,080 --> 00:14:37,760 Speaker 1: that we do with all products and drugs of anything 249 00:14:38,920 --> 00:14:43,120 Speaker 1: where you find, you know, the crib. One poor kid 250 00:14:43,840 --> 00:14:47,080 Speaker 1: dies in the crib and it's just awful, right, but 251 00:14:47,200 --> 00:14:52,160 Speaker 1: they have to be pulled from the market. So they 252 00:14:52,280 --> 00:14:55,680 Speaker 1: mentioned on a society the one guy went blind. It's 253 00:14:55,720 --> 00:14:58,080 Speaker 1: not clear. The doctors just couldn't figure out why else 254 00:14:58,160 --> 00:15:01,360 Speaker 1: it might have happened, and so this seems like a 255 00:15:01,400 --> 00:15:05,640 Speaker 1: shot in the dark. They mentioned that he having gone blind, 256 00:15:05,760 --> 00:15:08,080 Speaker 1: had to give up his commercial driver's license, just moved 257 00:15:08,080 --> 00:15:10,960 Speaker 1: to California. They'll give you one, sir. I'd like to 258 00:15:11,040 --> 00:15:14,240 Speaker 1: know if some of these people involved, you know, had 259 00:15:14,400 --> 00:15:18,040 Speaker 1: all kinds of other health problems in an unhealthy lifestyle 260 00:15:18,160 --> 00:15:21,360 Speaker 1: in addition to this, which may be the case. So 261 00:15:21,480 --> 00:15:24,320 Speaker 1: you're blaming like the real estate agent lady for eating 262 00:15:24,360 --> 00:15:28,200 Speaker 1: too many beans or what shere? Colin exploded, How about 263 00:15:28,200 --> 00:15:31,840 Speaker 1: a little sympathy for the poor gal. You're the tape 264 00:15:31,840 --> 00:15:35,320 Speaker 1: of the incident right there. Anyway, consult your doctor read 265 00:15:35,320 --> 00:15:39,120 Speaker 1: the fine print and lose that weight. Good luck. Yeah. 266 00:15:39,120 --> 00:15:40,880 Speaker 1: I still think, you know, I still think the half 267 00:15:40,920 --> 00:15:42,400 Speaker 1: of all adults are going to be on these things 268 00:15:42,640 --> 00:15:45,320 Speaker 1: pretty soon. Yeah, I almost forgot. I've got another piece 269 00:15:45,400 --> 00:15:49,720 Speaker 1: on what happens when you go off of those drugs, 270 00:15:50,720 --> 00:15:52,560 Speaker 1: because a lot more data is being collected on. I 271 00:15:52,600 --> 00:15:54,280 Speaker 1: think you're probably gonna have to stay on them, aren't you. 272 00:15:54,760 --> 00:15:58,080 Speaker 1: Just makes sense to me, Yeah, long, long story short. 273 00:15:58,200 --> 00:16:00,320 Speaker 1: Popular weight loss drugs are meant to be life long 274 00:16:00,400 --> 00:16:04,240 Speaker 1: treatments for a disease, not lifestyle fixes. Yeah. I mean, 275 00:16:04,400 --> 00:16:07,280 Speaker 1: like you stand your blood pressure medicine forever, or lots 276 00:16:07,320 --> 00:16:13,200 Speaker 1: of other things. Yeah. Yeah, it's a little disappointing. But 277 00:16:14,400 --> 00:16:17,160 Speaker 1: why is that disappointing? Well, because I think we'd all 278 00:16:17,280 --> 00:16:19,640 Speaker 1: like to just take it for a while, deal with 279 00:16:19,760 --> 00:16:22,680 Speaker 1: whatever ill effects it might cause, which are generally minor, 280 00:16:23,240 --> 00:16:25,760 Speaker 1: and then get off of it having thinned ourselves out. 281 00:16:25,920 --> 00:16:29,200 Speaker 1: But if that whole set point weight thing is true, 282 00:16:29,200 --> 00:16:31,280 Speaker 1: and it sure seems to be that the body tries 283 00:16:31,320 --> 00:16:33,240 Speaker 1: to get back to whatever our set point is, it 284 00:16:33,360 --> 00:16:35,200 Speaker 1: only makes sense that you lose the weight, you go 285 00:16:35,280 --> 00:16:37,280 Speaker 1: off the drug, and your body's gonna scream to get 286 00:16:37,280 --> 00:16:40,160 Speaker 1: back to the set point. Yeah, slowly or quickly. Yeah. 287 00:16:40,240 --> 00:16:42,520 Speaker 1: You know what's funny is I rarely hear that reference 288 00:16:42,720 --> 00:16:45,120 Speaker 1: the I knows, but I have never heard it refuted. 289 00:16:45,320 --> 00:16:47,440 Speaker 1: I don't think this has been refuted. I think it's 290 00:16:47,480 --> 00:16:49,160 Speaker 1: just a fact. It certainly seems like a fact in 291 00:16:49,200 --> 00:16:52,520 Speaker 1: my life. I know pretty much exactly the weight my 292 00:16:52,560 --> 00:16:54,560 Speaker 1: body wants to be. I would like to be about 293 00:16:54,560 --> 00:16:56,960 Speaker 1: eight pounds lighter than that, and every once in a 294 00:16:56,960 --> 00:17:00,720 Speaker 1: while I do that. But if I, you know, take 295 00:17:00,760 --> 00:17:02,560 Speaker 1: my foot off the gas at all, and my body 296 00:17:02,600 --> 00:17:06,920 Speaker 1: gets me right back to that number all the time. Yeah, Yeah, 297 00:17:07,040 --> 00:17:11,159 Speaker 1: coming up Mamdani. Update turns out he's a communist and 298 00:17:11,320 --> 00:17:16,200 Speaker 1: an Islamist. Uh, so stay tuned. Yeah, Marco Rubio is 299 00:17:16,320 --> 00:17:19,400 Speaker 1: testifying right now before Congress about our plans in Venezuela, 300 00:17:19,440 --> 00:17:21,120 Speaker 1: all the and all that sort of stuff. I hope 301 00:17:21,160 --> 00:17:24,359 Speaker 1: ask him about Iran too, uh in Cuba. Got some 302 00:17:24,520 --> 00:17:28,359 Speaker 1: statements about Iran from Trump and military experts that are 303 00:17:28,560 --> 00:17:31,040 Speaker 1: that are pretty damned interesting. The s might hit the 304 00:17:31,240 --> 00:17:36,240 Speaker 1: uh the fan here any any day. That'll bump Minneapolis 305 00:17:36,280 --> 00:17:38,280 Speaker 1: off off the front page. I think, of course that's 306 00:17:38,320 --> 00:17:41,120 Speaker 1: what it'll be. You know, that'll be what people claim 307 00:17:41,240 --> 00:17:43,600 Speaker 1: is the reason we attacked Iran. I want to talk 308 00:17:43,600 --> 00:17:49,240 Speaker 1: about the Iran thing. If you're not helping the protesters, specifically, 309 00:17:49,359 --> 00:17:53,159 Speaker 1: if you're just administering a punch in the face a punishment, 310 00:17:53,600 --> 00:17:54,440 Speaker 1: is that worth doing? 311 00:17:56,000 --> 00:17:56,160 Speaker 2: Right? 312 00:17:56,440 --> 00:17:59,840 Speaker 1: And this time around, Iran is making some noises about 313 00:18:00,080 --> 00:18:01,639 Speaker 1: we ain't this ain't going to be like last time, 314 00:18:01,680 --> 00:18:03,720 Speaker 1: where we didn't really fight back. We gave you a 315 00:18:03,800 --> 00:18:06,000 Speaker 1: warning so you could get everybody off the military base, 316 00:18:06,040 --> 00:18:08,080 Speaker 1: and we sent in a rocket and no, no harm, 317 00:18:08,160 --> 00:18:09,880 Speaker 1: no foul, and ain't gonna be like that this time. 318 00:18:10,080 --> 00:18:13,080 Speaker 1: We're coming it. Weird Beard says me. Yeah, I agree. 319 00:18:13,160 --> 00:18:14,600 Speaker 1: I think that's what Trump's going to say. Bring it, 320 00:18:14,720 --> 00:18:17,199 Speaker 1: weird Beard. Okay, we got more on the way. Stay here. 321 00:18:18,680 --> 00:18:20,160 Speaker 1: Armstrong and Getty. 322 00:18:21,680 --> 00:18:25,200 Speaker 4: Ups announced it's slashing an additional thirty thousand jobs on 323 00:18:25,320 --> 00:18:27,840 Speaker 4: top of the forty eight thousand jobs it cut last year. 324 00:18:28,280 --> 00:18:31,800 Speaker 4: The new cuts are all operational positions, including drivers, according 325 00:18:31,800 --> 00:18:34,600 Speaker 4: to the company, and it's all part of a massive restructuring, 326 00:18:34,760 --> 00:18:38,440 Speaker 4: winding down a partnership with Amazon and turning more toward automation. 327 00:18:38,920 --> 00:18:41,800 Speaker 4: In the same announcement about the job losses, the company 328 00:18:41,880 --> 00:18:44,680 Speaker 4: reported that fourth quarter profits had jumped to nearly one 329 00:18:44,760 --> 00:18:48,480 Speaker 4: point eight billion dollars, beating Wall Street expectations. 330 00:18:48,600 --> 00:18:53,120 Speaker 1: Oooh, big giant profit jump even better than anybody thought. 331 00:18:53,400 --> 00:18:56,640 Speaker 1: And they're laying off tons of people. That's the sort 332 00:18:56,680 --> 00:19:00,920 Speaker 1: of thing that gets an Occupy Wall Street movement going. Yeah. Well, 333 00:19:01,600 --> 00:19:06,919 Speaker 1: part of that is the incredibly lavish contracts the teamsters 334 00:19:06,960 --> 00:19:09,479 Speaker 1: get with UPS. It has motivated them to move as 335 00:19:09,520 --> 00:19:12,199 Speaker 1: fast as they can toward automation. That's the problem, man, 336 00:19:12,240 --> 00:19:15,479 Speaker 1: I mean, that's it's it's I run into it pretty regularly. 337 00:19:15,560 --> 00:19:21,360 Speaker 1: In California, they went so far in the ridiculous minimum 338 00:19:21,480 --> 00:19:24,359 Speaker 1: wage for fast food workers that every fast food place 339 00:19:24,400 --> 00:19:27,560 Speaker 1: in California has got a screen now, and they're eliminating 340 00:19:27,640 --> 00:19:30,200 Speaker 1: everybody because at some point you just can't afford to 341 00:19:30,280 --> 00:19:33,000 Speaker 1: have the humans and teamsters. I was a teamster for 342 00:19:33,000 --> 00:19:35,000 Speaker 1: a while FOREPS, and this is way back in the day. 343 00:19:35,440 --> 00:19:40,600 Speaker 1: The benefits were insane. I mean just absolutely. I never 344 00:19:40,680 --> 00:19:43,680 Speaker 1: had benefits like that even close in any other circumstance. 345 00:19:44,359 --> 00:19:46,119 Speaker 1: And you were doing a job that a trained monkey 346 00:19:46,200 --> 00:19:48,320 Speaker 1: probably could have left in boxes. I mean, is non 347 00:19:48,400 --> 00:19:51,240 Speaker 1: trained monkey wild monkey straight out at the jungle, as 348 00:19:51,560 --> 00:19:55,800 Speaker 1: as like low trained, unskilled grunt work as you can 349 00:19:55,920 --> 00:20:00,760 Speaker 1: come up with stacking boxes. And I had one hundred 350 00:20:00,800 --> 00:20:05,560 Speaker 1: percent dental, one hundred percent medical as a part time worker. 351 00:20:07,040 --> 00:20:08,480 Speaker 1: And if you didn't want to come in, you just 352 00:20:08,600 --> 00:20:11,080 Speaker 1: call right. And if you ever had a complaint, man 353 00:20:11,359 --> 00:20:15,280 Speaker 1: like eight Guides and Ties jumped wow as an hourly, 354 00:20:15,400 --> 00:20:18,080 Speaker 1: part time, middle of the night worker. And you know 355 00:20:18,200 --> 00:20:20,720 Speaker 1: it's awesome as the employee. But at some point the 356 00:20:20,800 --> 00:20:23,040 Speaker 1: company just thinks, you know, this ain't this is too much. 357 00:20:23,440 --> 00:20:25,639 Speaker 1: Wait a minute, I can replace monkey boy here with 358 00:20:25,760 --> 00:20:28,840 Speaker 1: a machine. Will never complain. It always shows up monkey 359 00:20:28,960 --> 00:20:32,920 Speaker 1: boy done done well in a so oh you know, 360 00:20:33,119 --> 00:20:36,560 Speaker 1: back to the Gavy, the California fast food minimum waste thing. 361 00:20:36,640 --> 00:20:39,119 Speaker 1: It is worth repeating this every time the topic comes up. 362 00:20:39,800 --> 00:20:43,720 Speaker 1: Gavin Newsom and the utterly corrupt legislature of California puts 363 00:20:43,880 --> 00:20:47,600 Speaker 1: thousands of young people and old people and immigrants out 364 00:20:47,680 --> 00:20:51,080 Speaker 1: of work because they raised the wage beyond what those 365 00:20:51,160 --> 00:20:54,920 Speaker 1: people were worth per hour. To any sane business, it's 366 00:20:55,000 --> 00:20:59,600 Speaker 1: not the value judgment. It's a question of economic value. 367 00:20:59,640 --> 00:21:02,840 Speaker 1: You did so you did just call people like us monkeys, 368 00:21:02,920 --> 00:21:06,280 Speaker 1: So there's some value judgment seems to be going on there. Well, 369 00:21:06,359 --> 00:21:08,840 Speaker 1: no I don't think the guy running the register at 370 00:21:08,880 --> 00:21:12,200 Speaker 1: McDonald's is you know, simian level employment. I was just 371 00:21:12,280 --> 00:21:17,560 Speaker 1: talking about U stack in boxes. Anyway, A monkey doesn't 372 00:21:17,560 --> 00:21:19,600 Speaker 1: know the difference between a large fry and a small fry, 373 00:21:19,680 --> 00:21:24,560 Speaker 1: for instance. Well no, no, no, So yeah, they they 374 00:21:25,119 --> 00:21:26,960 Speaker 1: put all of those people out of work and made 375 00:21:27,000 --> 00:21:30,560 Speaker 1: it illegal to hire them again. It's utterly insidious. Similar 376 00:21:30,640 --> 00:21:33,240 Speaker 1: to the UPS story. It was funny they mentioned partnership 377 00:21:33,280 --> 00:21:36,920 Speaker 1: with Amazon. Amazon just announced they're laying off around sixteen 378 00:21:37,160 --> 00:21:41,119 Speaker 1: thousand corporate employees. Part of that I didn't know until 379 00:21:41,160 --> 00:21:44,399 Speaker 1: today I heard this on NPR. I think that that 380 00:21:44,560 --> 00:21:49,119 Speaker 1: whole Amazon Fresh grocery store thing did not work out. Nope, 381 00:21:49,160 --> 00:21:51,760 Speaker 1: So they were going to take on the Targets and 382 00:21:51,800 --> 00:21:54,119 Speaker 1: Walmarts of the world. And remember when they announced that, 383 00:21:54,240 --> 00:21:56,440 Speaker 1: it was kind of a wooh, this could be the 384 00:21:56,480 --> 00:21:59,080 Speaker 1: next big thing, but it just did not pan out. Yeah, 385 00:21:59,240 --> 00:22:01,720 Speaker 1: it was the Fresh and Go grocery stores. I don't 386 00:22:01,760 --> 00:22:04,560 Speaker 1: remember exactly what the concept there was. It was deliveries 387 00:22:04,600 --> 00:22:07,400 Speaker 1: of fresh food from warehouses, I guess. But they're doubling 388 00:22:07,480 --> 00:22:11,240 Speaker 1: down on their Whole Foods brand because Amazon owns Whole 389 00:22:11,280 --> 00:22:15,639 Speaker 1: Foods Now. But anyway, So everything Jeff Bezos touches does 390 00:22:15,720 --> 00:22:19,200 Speaker 1: not turn to gold and workout. No, No, he gives 391 00:22:19,240 --> 00:22:21,000 Speaker 1: it a try, as sayss it, looks at the data 392 00:22:21,040 --> 00:22:23,400 Speaker 1: and says, yeah, your na forward, buys a bigger yacht, 393 00:22:23,800 --> 00:22:25,920 Speaker 1: gets his wife some fatter lips, and moves on with 394 00:22:26,000 --> 00:22:30,080 Speaker 1: his day bigger implants. Yeah. So Amazon cutting sixteen thousand 395 00:22:30,520 --> 00:22:33,440 Speaker 1: joining the fourteen thousand you may recall they cut in October, 396 00:22:34,359 --> 00:22:37,200 Speaker 1: fulfilling their plans to cut around thirty thousand jobs, ten 397 00:22:37,200 --> 00:22:39,879 Speaker 1: percent of the corporate workforce, a lot of it moving 398 00:22:40,080 --> 00:22:47,640 Speaker 1: toward automation. Crazy. Yeah, to be fair, this is hastening 399 00:22:47,720 --> 00:22:50,840 Speaker 1: what was going to happen anyway. I mean, if AI 400 00:22:51,040 --> 00:22:53,200 Speaker 1: can come along and do the stuff that people do 401 00:22:53,400 --> 00:22:55,680 Speaker 1: for UPS or Amazon, they're going to do it, whether 402 00:22:55,760 --> 00:23:00,960 Speaker 1: minimum WAGESUS high or not. Yeah. Yeah, this is just 403 00:23:01,040 --> 00:23:04,840 Speaker 1: pushing it along faster. Yeah, I would agree. I would agree. 404 00:23:06,600 --> 00:23:12,359 Speaker 1: Is a cookie candy? Is cookie a candy? No? Is 405 00:23:12,480 --> 00:23:13,800 Speaker 1: a cookie candy? 406 00:23:14,280 --> 00:23:14,320 Speaker 2: No. 407 00:23:14,760 --> 00:23:18,320 Speaker 1: Supermarkets have a new food stamp conundrum. There are eighteen 408 00:23:18,440 --> 00:23:21,600 Speaker 1: states that either have or are about to restrict what 409 00:23:21,960 --> 00:23:26,480 Speaker 1: snap funds can buy. But everybody's having a bit of 410 00:23:26,520 --> 00:23:29,960 Speaker 1: a problem figuring out what are permissible products, and it 411 00:23:30,240 --> 00:23:34,439 Speaker 1: varies every single state. I talked about this before when 412 00:23:34,480 --> 00:23:37,240 Speaker 1: I got into my fancy coffee machine and I was 413 00:23:37,240 --> 00:23:39,119 Speaker 1: trying to buy really good coffee beans and everything like that, 414 00:23:39,359 --> 00:23:41,720 Speaker 1: like the most expensive beans you can buy on Amazon, 415 00:23:41,880 --> 00:23:44,359 Speaker 1: like thirty dollars a pound or whatever like that. EBT 416 00:23:44,520 --> 00:23:48,280 Speaker 1: and SNAP benefits available, so you can buy super expensive 417 00:23:48,359 --> 00:23:51,520 Speaker 1: gourmet coffee with Snap benefits, because it wouldn't be fair 418 00:23:52,359 --> 00:23:55,320 Speaker 1: that rich people can drink gourmet coffee but poor people 419 00:23:55,400 --> 00:23:58,920 Speaker 1: have to drink just mid range coffee like Starbucks or something. No, 420 00:23:59,040 --> 00:24:00,920 Speaker 1: they need to have better than that. I mean, so, 421 00:24:01,280 --> 00:24:03,879 Speaker 1: so why aren't you over the cookie candy thing if 422 00:24:03,880 --> 00:24:07,360 Speaker 1: you're gonna let people do that. So, uh, the administration 423 00:24:07,480 --> 00:24:09,440 Speaker 1: is sought to strip soda and junk food from the 424 00:24:09,480 --> 00:24:13,320 Speaker 1: program by encouraging states to restrict what foodstaff recipients can buy. 425 00:24:13,600 --> 00:24:16,480 Speaker 1: But we're running in all of these problems around on 426 00:24:16,560 --> 00:24:18,920 Speaker 1: this stuff. Well, and you know, what's a what's a 427 00:24:18,960 --> 00:24:21,560 Speaker 1: cinnamon roll? Okay, what's a mini donut? How about gum 428 00:24:21,720 --> 00:24:24,760 Speaker 1: fruit strips? Candy bars? But but it's been been many 429 00:24:24,760 --> 00:24:26,320 Speaker 1: people have pointed out to us over the years, and 430 00:24:26,359 --> 00:24:29,000 Speaker 1: there's all then there's all sort of a you buy something, 431 00:24:29,080 --> 00:24:30,680 Speaker 1: get cash back, and then you go buy it with 432 00:24:30,760 --> 00:24:33,520 Speaker 1: the cash. It's just it's just it's it's never been 433 00:24:34,640 --> 00:24:36,679 Speaker 1: what it ought to be. And by the way, if 434 00:24:36,720 --> 00:24:39,040 Speaker 1: somebody says would you like some candy, and you say yes, 435 00:24:39,119 --> 00:24:41,400 Speaker 1: and they hand you a cookie, you'd say what the hell. 436 00:24:42,040 --> 00:24:45,320 Speaker 1: So that's the way you answer these questions. That doesn't 437 00:24:45,359 --> 00:24:49,240 Speaker 1: answer that. It's just a thought starter. Small differences such 438 00:24:49,240 --> 00:24:51,879 Speaker 1: as whether kettle corn is pre popped or pretzels are 439 00:24:51,920 --> 00:24:54,399 Speaker 1: covered in yogurt, can now determine whether an item can 440 00:24:54,440 --> 00:24:57,200 Speaker 1: be purchased with food assistant funds or whether it rates 441 00:24:57,320 --> 00:24:59,280 Speaker 1: is candy that is no longer what is your stance? 442 00:24:59,440 --> 00:25:03,480 Speaker 1: I don't think food benefits for my stance's shoulder width 443 00:25:03,600 --> 00:25:08,480 Speaker 1: bent forward at the waist. Maybe this makes me a 444 00:25:08,520 --> 00:25:10,560 Speaker 1: bad person, but I don't think you should be buying 445 00:25:10,640 --> 00:25:15,320 Speaker 1: gourmet coffee or pop or candy with your here's some 446 00:25:15,560 --> 00:25:19,440 Speaker 1: help from the taxpayers because you're starving, so only the 447 00:25:19,600 --> 00:25:25,040 Speaker 1: rich by super high dollar products. Yes, yes, that's exactly right. Oh, 448 00:25:25,200 --> 00:25:28,080 Speaker 1: it's so funny when you say it out loud. Uh, yeah, 449 00:25:28,119 --> 00:25:31,200 Speaker 1: it's gonna be Uh, it's gonna be difficult to on 450 00:25:31,320 --> 00:25:34,680 Speaker 1: the ground though. To figure out what's what, well, let's 451 00:25:34,680 --> 00:25:39,240 Speaker 1: see examples of which products are and aren't restricted. Coca 452 00:25:39,320 --> 00:25:43,240 Speaker 1: Cola original taste is restricted in the five states they're 453 00:25:43,280 --> 00:25:47,960 Speaker 1: looking at. Gatorade lemon lime is restricted in two of 454 00:25:48,040 --> 00:25:50,960 Speaker 1: the five states. Eminem's milk chocolate in two of the 455 00:25:51,000 --> 00:25:54,600 Speaker 1: five states. Tub of ice cream is restricted in none 456 00:25:54,640 --> 00:25:58,760 Speaker 1: of the states. Dude, that's funny. So you can't have 457 00:25:58,880 --> 00:26:01,240 Speaker 1: a gatorade some but you can get a tub of 458 00:26:01,320 --> 00:26:04,359 Speaker 1: ice cream. Okay, that makes sense. Yeah, that would be 459 00:26:04,640 --> 00:26:07,680 Speaker 1: in Iowa, Indiana. I like me a good tub of 460 00:26:07,720 --> 00:26:09,320 Speaker 1: ice cream as I'm sitting there in des Moine on 461 00:26:09,359 --> 00:26:12,720 Speaker 1: a cold winter day. But then I'm so thirsty from 462 00:26:12,720 --> 00:26:14,800 Speaker 1: eating ice cream. I'm trying to wash it down with 463 00:26:14,880 --> 00:26:16,920 Speaker 1: a nice datle rain. The government tells me I can't 464 00:26:16,960 --> 00:26:23,560 Speaker 1: do it. This was America and a final economic Now 465 00:26:23,680 --> 00:26:26,400 Speaker 1: this is our representation of a man and I want 466 00:26:26,440 --> 00:26:32,040 Speaker 1: a cold dad enjoying a frozen treat yep, thirsty Armstrong 467 00:26:32,080 --> 00:26:36,840 Speaker 1: e Getty's hypothetical theater. After a quick word from our 468 00:26:36,880 --> 00:26:39,879 Speaker 1: friends at rough Greens, the economic situation in China is 469 00:26:40,080 --> 00:26:43,119 Speaker 1: crazy right now, I'm telling you, hey, grab that Gordon 470 00:26:43,200 --> 00:26:46,080 Speaker 1: Chang clip from yesterday, which and Michael, I can't remember 471 00:26:46,080 --> 00:26:49,840 Speaker 1: the number. So your dog is super important to you. 472 00:26:50,000 --> 00:26:51,679 Speaker 1: You love your dog, We know you do. We love 473 00:26:51,760 --> 00:26:55,120 Speaker 1: our dogs. 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So I remember taking many economics 491 00:27:47,200 --> 00:27:51,320 Speaker 1: classes back in my college days, and this was the 492 00:27:51,680 --> 00:27:56,040 Speaker 1: eighties when I was reminded fairly recently, we were just 493 00:27:56,560 --> 00:27:59,200 Speaker 1: in the era where a mortgage rate was like eighteen 494 00:27:59,320 --> 00:28:05,479 Speaker 1: nineteen percent and inflation was rampant, and it had booten 495 00:28:05,680 --> 00:28:08,840 Speaker 1: booted Jimmy Carter out office in the first couple of 496 00:28:08,920 --> 00:28:11,399 Speaker 1: years of the Reagan administration were really tough trying to 497 00:28:11,440 --> 00:28:14,040 Speaker 1: straighten it all out. And I remember being taught about 498 00:28:14,160 --> 00:28:17,359 Speaker 1: inflation obviously, but then deflation. They would go ahead and 499 00:28:17,400 --> 00:28:19,480 Speaker 1: explain to us what deflation was, and it was a 500 00:28:19,520 --> 00:28:21,960 Speaker 1: lot like you know, sitting through a class on what 501 00:28:22,119 --> 00:28:23,960 Speaker 1: to do if you end up with too much money 502 00:28:24,480 --> 00:28:27,159 Speaker 1: and too many friends and you know, too many hot 503 00:28:27,280 --> 00:28:28,840 Speaker 1: chicks who want to be with you. I mean, I'm 504 00:28:28,920 --> 00:28:32,119 Speaker 1: sitting there thinking, what what, Why am I listening to this? 505 00:28:32,480 --> 00:28:35,200 Speaker 1: But as it turns out, inflation or deflation rather is 506 00:28:35,359 --> 00:28:40,800 Speaker 1: a thing, and China is in some serious problems, particularly 507 00:28:40,880 --> 00:28:43,400 Speaker 1: in the mid long term economically in demographs. So what 508 00:28:43,480 --> 00:28:46,840 Speaker 1: does deflation look like practically for me as as a citizen, 509 00:28:46,920 --> 00:28:49,920 Speaker 1: if I'm living somewhere, and we're in a deflation period. Well, 510 00:28:50,040 --> 00:28:52,680 Speaker 1: for for example, what's happening in China. Consumers are not 511 00:28:52,880 --> 00:28:56,880 Speaker 1: spending on products. Producers are making too much because they're 512 00:28:57,000 --> 00:28:59,880 Speaker 1: manufacturing based economy. They just keep juicing it and juicing it, 513 00:29:00,400 --> 00:29:04,120 Speaker 1: so that leaves companies all along the supply chain earning less. 514 00:29:04,640 --> 00:29:07,040 Speaker 1: Many feel they have no choice but the lower prices 515 00:29:07,120 --> 00:29:10,480 Speaker 1: to unload inventory. Inventory eats into their profits. So far 516 00:29:10,520 --> 00:29:13,200 Speaker 1: the consumers know, yes, so far, just as the consumer, 517 00:29:13,280 --> 00:29:15,920 Speaker 1: it sounds awesome, But the consumers know it's going to 518 00:29:15,960 --> 00:29:20,560 Speaker 1: be even cheaper next month, so they don't buy anything. Wow. Meanwhile, 519 00:29:20,640 --> 00:29:23,400 Speaker 1: with less money on hand, businesses are limiting wage growth, 520 00:29:23,560 --> 00:29:26,800 Speaker 1: pausing hiring and shedding employees, which means workers have less 521 00:29:26,840 --> 00:29:30,360 Speaker 1: to spend, continuing the vicious cycle. Could they think, not 522 00:29:30,520 --> 00:29:32,400 Speaker 1: only is it going to be cheaper next month, but 523 00:29:32,600 --> 00:29:34,440 Speaker 1: I might lose my job. I don't have any money, 524 00:29:34,440 --> 00:29:37,280 Speaker 1: I'm not buying wow. So it's the mirror image of 525 00:29:37,360 --> 00:29:40,160 Speaker 1: the inflation spiral where you think, God, I'm going to 526 00:29:40,240 --> 00:29:41,920 Speaker 1: load up on bacon because it can be even more 527 00:29:41,960 --> 00:29:44,080 Speaker 1: expensive next week, and so I go out and buy bacon, 528 00:29:44,120 --> 00:29:47,160 Speaker 1: which causes the price to go up right, Wow, that's 529 00:29:47,240 --> 00:29:50,840 Speaker 1: really interesting. Yeah, the country is making extraordinary leaps and 530 00:29:50,840 --> 00:29:54,760 Speaker 1: cutting edge technology from artificial intelligence to robotics, but its 531 00:29:54,840 --> 00:29:57,800 Speaker 1: relentless pursuit of growth through manufacturing is also created a 532 00:29:57,960 --> 00:30:04,000 Speaker 1: lopsided economy with much of it stuck any deflationary spiral craziness. 533 00:30:04,080 --> 00:30:06,680 Speaker 1: And then, as Gordon Chang pointed out yesterday. 534 00:30:06,800 --> 00:30:09,440 Speaker 2: Between now and the end of the century, China will 535 00:30:09,520 --> 00:30:13,560 Speaker 2: lose probably two thirds to three quarters of its population. 536 00:30:14,080 --> 00:30:17,600 Speaker 2: So it reports one point four billion now, it'll probably 537 00:30:17,720 --> 00:30:20,640 Speaker 2: be somewhere in the neighborhood of four hundred and fifty million. 538 00:30:21,400 --> 00:30:22,880 Speaker 1: No country has ever. 539 00:30:22,960 --> 00:30:27,400 Speaker 2: Undergone a demographic collapse like this, not even Europe during 540 00:30:27,440 --> 00:30:30,560 Speaker 2: the Black Death. So really, what we're talking about is 541 00:30:30,640 --> 00:30:33,920 Speaker 2: something nobody has ever seen before. And I don't think 542 00:30:34,040 --> 00:30:38,360 Speaker 2: China can remain a great power when its population falls apart. 543 00:30:39,280 --> 00:30:43,200 Speaker 1: And for the first time since China joined modernity more 544 00:30:43,320 --> 00:30:47,600 Speaker 1: or less their fixed asset investment, which is investments on 545 00:30:48,000 --> 00:30:51,840 Speaker 1: Holmes factories, roads, it fell for the first time on 546 00:30:51,960 --> 00:30:58,480 Speaker 1: record last year. How does this affect xijin Ping and Taiwan? 547 00:30:58,720 --> 00:31:01,640 Speaker 1: And he's an old man, he ain't gonna be around 548 00:31:01,680 --> 00:31:05,680 Speaker 1: for but certainly well, no but his plans going forward. 549 00:31:06,120 --> 00:31:08,520 Speaker 1: He because he sees this stuff, he's aware of it. 550 00:31:09,000 --> 00:31:11,080 Speaker 1: I guess I was his solution, just wondering does he 551 00:31:11,160 --> 00:31:13,600 Speaker 1: care what's going on with China seventy five years from 552 00:31:13,600 --> 00:31:15,200 Speaker 1: now or does he only care about what happens during 553 00:31:15,240 --> 00:31:17,400 Speaker 1: his lifetime. Oh no, I think he's one of those 554 00:31:17,440 --> 00:31:20,160 Speaker 1: guys who spends a lot of time thinking about his legacy. 555 00:31:20,440 --> 00:31:23,560 Speaker 1: He wants giant statues of himself. He should give up 556 00:31:23,920 --> 00:31:27,400 Speaker 1: because Gordon Chang's prediction is right. I mean, if your 557 00:31:27,440 --> 00:31:31,240 Speaker 1: population shrinks that much, it's going to be a mess. Well, 558 00:31:31,280 --> 00:31:34,240 Speaker 1: and the Chinese are incredibly racist, and so they're not 559 00:31:34,280 --> 00:31:37,440 Speaker 1: going to have any meaningful immigration anytime soon. Although I 560 00:31:37,560 --> 00:31:39,840 Speaker 1: was talking to a woman just last night, funny enough, 561 00:31:39,880 --> 00:31:44,000 Speaker 1: at the Boy Scout meeting. She went to some super 562 00:31:44,280 --> 00:31:53,200 Speaker 1: exclusive university in China when she was young that let 563 00:31:53,320 --> 00:31:56,480 Speaker 1: hardly anybody in but Chinese because they've always been so 564 00:31:56,600 --> 00:31:58,880 Speaker 1: insular like that. And she said, now they let in 565 00:31:59,000 --> 00:32:01,880 Speaker 1: lots of people are from the country, it's part of 566 00:32:01,920 --> 00:32:05,320 Speaker 1: their And so I just wonder, from all kinds of 567 00:32:05,400 --> 00:32:09,160 Speaker 1: different areas, if they're finally recognizing, yeah, we can't keep 568 00:32:09,200 --> 00:32:12,480 Speaker 1: this up anymore. We ain't got enough people. We're gonna 569 00:32:12,520 --> 00:32:15,200 Speaker 1: have to bring in people from the outside. Yeah, I 570 00:32:15,280 --> 00:32:18,680 Speaker 1: mean the regional moving of people has increased a lot 571 00:32:18,720 --> 00:32:20,640 Speaker 1: in China. There's a lot for your mobility for the 572 00:32:20,680 --> 00:32:23,840 Speaker 1: reasons you're talking about, or you know that show themselves 573 00:32:24,040 --> 00:32:26,920 Speaker 1: in ways like you're talking about. But to bring in outsiders, 574 00:32:27,200 --> 00:32:31,720 Speaker 1: non Han Chinese google it, that'd be an enormous step. 575 00:32:31,840 --> 00:32:31,959 Speaker 2: Oh. 576 00:32:32,080 --> 00:32:34,200 Speaker 1: One final thought on China, and we'll get to this 577 00:32:34,280 --> 00:32:36,800 Speaker 1: at some point. I read a really really interesting piece 578 00:32:36,840 --> 00:32:39,040 Speaker 1: by a China watcher saying that shakeup of the military 579 00:32:39,080 --> 00:32:41,520 Speaker 1: we were talking about in China, huge shakeup number one 580 00:32:41,600 --> 00:32:46,360 Speaker 1: guy gone. They think it might come for Sheshin Ping. 581 00:32:46,680 --> 00:32:50,200 Speaker 1: He's not in charge of the shakeup, he might be 582 00:32:50,280 --> 00:32:53,760 Speaker 1: on the receiving end of it. I want a law 583 00:32:54,440 --> 00:32:58,240 Speaker 1: past that says, anybody that falls for Sydney Sweeney clickbait 584 00:32:58,800 --> 00:33:02,880 Speaker 1: goes to prison? Does that seem out of line? Can 585 00:33:02,960 --> 00:33:05,240 Speaker 1: explain that and among all the things extreme to me 586 00:33:05,480 --> 00:33:11,520 Speaker 1: on the way, stay here, I will get this. 587 00:33:11,680 --> 00:33:14,200 Speaker 3: A class action settlement is now being paid out to 588 00:33:14,440 --> 00:33:18,520 Speaker 3: iPhone users who claim Siri eaves dropped on their conversations. 589 00:33:19,440 --> 00:33:22,760 Speaker 1: People were like, I feel so violated and then went 590 00:33:22,840 --> 00:33:25,160 Speaker 1: back to their therapy session with chat gpt. He's like, 591 00:33:27,920 --> 00:33:32,000 Speaker 1: do you really think they like me? Or what's interesting 592 00:33:32,040 --> 00:33:35,120 Speaker 1: to me about that joke is that using chat GPT 593 00:33:35,360 --> 00:33:37,880 Speaker 1: as therapy, which I have said is really really good 594 00:33:38,000 --> 00:33:42,800 Speaker 1: these chatbots has become apparently common enough that he can 595 00:33:42,880 --> 00:33:45,880 Speaker 1: make that comment or feels like he can. How many 596 00:33:45,920 --> 00:33:47,960 Speaker 1: people are using the chatbots for therapy? And I wonder 597 00:33:48,800 --> 00:33:51,600 Speaker 1: has there been a noticeable effect of therapists. Do they 598 00:33:51,720 --> 00:33:56,320 Speaker 1: notice people quit on them or getting fewer calls or anything. 599 00:33:56,360 --> 00:33:59,680 Speaker 1: At some point that's going to happen. I would think, yeah. 600 00:34:00,040 --> 00:34:02,480 Speaker 1: And you know, if you don't like the term therapy, 601 00:34:04,080 --> 00:34:09,680 Speaker 1: call it asking it for a perspective, which I guess 602 00:34:09,760 --> 00:34:12,600 Speaker 1: is what therapy is. Really. Can a robot have perspective? 603 00:34:14,000 --> 00:34:17,000 Speaker 1: It can collect the thinking of people that do have 604 00:34:17,160 --> 00:34:20,520 Speaker 1: perspective and read it to you. Essentially, Yeah, you. 605 00:34:20,560 --> 00:34:20,960 Speaker 3: Know what it is. 606 00:34:21,080 --> 00:34:25,839 Speaker 1: It's like the world's greatest self help library that immediately says, 607 00:34:26,000 --> 00:34:29,799 Speaker 1: here's the book, here's the page, read this, or here's 608 00:34:29,880 --> 00:34:34,560 Speaker 1: the leading thinking from you know, five different experts on 609 00:34:34,680 --> 00:34:38,279 Speaker 1: what you just told me, which is pretty good. Yeah, 610 00:34:39,960 --> 00:34:41,960 Speaker 1: And it's funny how that's kind of like mocked but 611 00:34:42,040 --> 00:34:45,200 Speaker 1: if you went to the bookstore or the library and 612 00:34:45,400 --> 00:34:48,960 Speaker 1: found the top five publications on your particular thing and 613 00:34:49,000 --> 00:34:52,360 Speaker 1: did some research, nobody would think that was weak or 614 00:34:52,560 --> 00:34:56,120 Speaker 1: weird or not as good as a therapist at all. Right, 615 00:34:56,920 --> 00:35:01,399 Speaker 1: but if it's compiled by a chatbot, it's kind of weird. Unfortunately, 616 00:35:01,480 --> 00:35:05,080 Speaker 1: there's a junkie pleasuring himself in the library, So why 617 00:35:05,120 --> 00:35:06,560 Speaker 1: do you have to go there? Stay at home? I 618 00:35:06,640 --> 00:35:09,080 Speaker 1: feel like that was a distraction from our conversation. Well no, 619 00:35:09,280 --> 00:35:12,040 Speaker 1: because well yeah it was. It definitely was because I 620 00:35:12,200 --> 00:35:16,160 Speaker 1: think our public spaces have been given over to junkies 621 00:35:16,560 --> 00:35:20,759 Speaker 1: to resent it. That's true. So to maybe get some 622 00:35:21,160 --> 00:35:24,600 Speaker 1: some chat GPT counseling for that resentment. This one a 623 00:35:24,719 --> 00:35:29,120 Speaker 1: short thing. Please don't fall for Sidney Sweeney clickbait. If 624 00:35:29,200 --> 00:35:33,080 Speaker 1: you see a headline Sidney Sweeney arrested and too hot fit, 625 00:35:33,280 --> 00:35:35,919 Speaker 1: too hot for bloshing it, don't on a guinea girl 626 00:35:36,040 --> 00:35:39,279 Speaker 1: with big boot click on it. Please don't click on it. 627 00:35:39,360 --> 00:35:42,320 Speaker 1: You're making things worse. You're making attractive and large breasted. 628 00:35:42,440 --> 00:35:44,440 Speaker 1: There's lots of attractive women with big breast. If you 629 00:35:44,480 --> 00:35:47,319 Speaker 1: want to look at them, google that, but don't use 630 00:35:47,400 --> 00:35:51,400 Speaker 1: your algorithm or give the news outlets a reason to 631 00:35:51,440 --> 00:35:54,399 Speaker 1: put more of that on their feeds. I just want 632 00:35:54,440 --> 00:35:56,239 Speaker 1: to google it. They're giving it to me. I just 633 00:35:56,320 --> 00:36:00,360 Speaker 1: want to wall, like the the the what that is 634 00:36:00,400 --> 00:36:02,520 Speaker 1: in your body between your brain, the membrane or whatever. 635 00:36:02,520 --> 00:36:05,360 Speaker 1: I want something, a wall between news and clickbait to 636 00:36:05,480 --> 00:36:08,080 Speaker 1: keep it from If you want to look at her, 637 00:36:08,880 --> 00:36:11,040 Speaker 1: it's from Sonia, looks like her. It's all over the place. 638 00:36:11,080 --> 00:36:13,439 Speaker 1: Look for it, jeesus, enjoy yourself, knock yourself out, spend 639 00:36:13,480 --> 00:36:16,120 Speaker 1: your entire take the day off, take a personal day, 640 00:36:16,480 --> 00:36:18,640 Speaker 1: stay at home and look at those pictures the whole day. 641 00:36:18,880 --> 00:36:21,160 Speaker 1: But don't click on news sites who do it because 642 00:36:21,160 --> 00:36:26,040 Speaker 1: it ruins news. Want is Sydney Sweeney filter, which leads 643 00:36:26,120 --> 00:36:28,640 Speaker 1: me to the California Post. Do you even know that 644 00:36:28,760 --> 00:36:30,239 Speaker 1: this is a thing. The New York Post is a 645 00:36:30,760 --> 00:36:35,520 Speaker 1: great newspaper and lots of lots of clickbait, and now 646 00:36:35,600 --> 00:36:37,880 Speaker 1: they have a California Post version, which I think is 647 00:36:37,920 --> 00:36:41,960 Speaker 1: a great idea because the West Coast and LA in particular, 648 00:36:42,760 --> 00:36:48,080 Speaker 1: is just way underserved by news compared to Man It's 649 00:36:48,120 --> 00:36:50,560 Speaker 1: the number one media market in the country and doesn't 650 00:36:50,600 --> 00:36:54,879 Speaker 1: have near the media presence as New York right, it's crazy, really, 651 00:36:55,280 --> 00:36:57,080 Speaker 1: and so now the California Post is going to try 652 00:36:57,120 --> 00:36:59,319 Speaker 1: to fill that in, for instance, with the story they had. 653 00:36:59,360 --> 00:37:02,120 Speaker 1: Maybe we'll get to a little bit later. Radical mob 654 00:37:02,320 --> 00:37:06,880 Speaker 1: hijacks LAPD meeting and attempts to silence California Post journalists. 655 00:37:07,040 --> 00:37:08,840 Speaker 1: If this happened in New York the same thing, it 656 00:37:08,880 --> 00:37:11,000 Speaker 1: would get lots of attention. This just happened in Los 657 00:37:11,000 --> 00:37:13,880 Speaker 1: Angeles yesterday, and without the California Post, it just it 658 00:37:13,920 --> 00:37:17,360 Speaker 1: wouldn't get that much attention. With protesters screaming at the 659 00:37:17,440 --> 00:37:20,399 Speaker 1: reporter are you scared yet? And getting up in her face, 660 00:37:20,880 --> 00:37:24,960 Speaker 1: which is my which is not good. You gotta tell 661 00:37:25,040 --> 00:37:27,080 Speaker 1: us about this, you just gotta. We'll get to more 662 00:37:27,120 --> 00:37:30,719 Speaker 1: of that later if you miss a segment at the 663 00:37:30,760 --> 00:37:36,800 Speaker 1: podcast Armstrong and Getty on demand Armstrong and Getty