1 00:00:00,120 --> 00:00:03,240 Speaker 1: Yeah, we have openings with the Moistline. Have you heard 2 00:00:03,240 --> 00:00:06,880 Speaker 1: of the moistline, John, It's pretty popular where people leave 3 00:00:06,960 --> 00:00:09,600 Speaker 1: messages in. Oh. Yes, one of my favorite moments of 4 00:00:09,600 --> 00:00:11,399 Speaker 1: the week. Oh and you yeah, you said, why don't 5 00:00:11,400 --> 00:00:15,840 Speaker 1: you leave a your review of Joe Biden's speech last night? 6 00:00:15,840 --> 00:00:18,640 Speaker 1: We already got one. We already got one yet. Yes, 7 00:00:19,160 --> 00:00:21,960 Speaker 1: one's in already. All right, is it a good review? 8 00:00:22,000 --> 00:00:24,040 Speaker 1: We're gonna play it tomorrow or Friday. I mean it 9 00:00:24,120 --> 00:00:28,240 Speaker 1: should make it. Yeah, okay, there's the man that decides. Uh. 10 00:00:28,680 --> 00:00:31,160 Speaker 1: The iHeartRadio app is one way to do it. Leave 11 00:00:31,200 --> 00:00:34,040 Speaker 1: a message there using the microphone icon or called the 12 00:00:34,040 --> 00:00:36,760 Speaker 1: tell Free number one eight seven and seven moist eighty 13 00:00:36,800 --> 00:00:40,040 Speaker 1: six one eight seven and seven six six four seven 14 00:00:40,120 --> 00:00:43,440 Speaker 1: eight eight six. Well, speaking of Biden, John, we have 15 00:00:43,479 --> 00:00:56,960 Speaker 1: a bombshell literally see the bombshell is that Joe Biden, 16 00:00:57,400 --> 00:01:00,520 Speaker 1: according to this story, got no idea. If this is true, 17 00:01:00,840 --> 00:01:07,279 Speaker 1: gave an order to destroy the nord Stream pipeline after 18 00:01:07,440 --> 00:01:13,119 Speaker 1: Russia invaded Ukraine. That navy divers us navy diers divers. 19 00:01:15,760 --> 00:01:20,000 Speaker 1: They're the ones who blew up the pipeline. It's an 20 00:01:20,080 --> 00:01:24,080 Speaker 1: underwater pipeline called the nord Stream, and it's applied Russian 21 00:01:24,160 --> 00:01:29,160 Speaker 1: gas to Western Europe and that was a great source 22 00:01:29,200 --> 00:01:32,080 Speaker 1: of income for Russia. It also was a great source 23 00:01:32,120 --> 00:01:36,520 Speaker 1: of gas for Western Europe. If this is true, it's 24 00:01:36,800 --> 00:01:40,360 Speaker 1: caused this caused a big problem for the Europeans because 25 00:01:40,400 --> 00:01:43,280 Speaker 1: they depend on Russia for the gas. Of course, Russia 26 00:01:43,319 --> 00:01:45,640 Speaker 1: depends on the money, and then they're using that money 27 00:01:45,640 --> 00:01:49,320 Speaker 1: to fund the war effort. Now, according to this story, 28 00:01:50,640 --> 00:01:55,280 Speaker 1: and it's by Seymour Hirsch, who's a Poetzer Prize winning journalist, 29 00:01:56,080 --> 00:02:01,120 Speaker 1: he has a Substack website on the Internet, and he 30 00:02:01,280 --> 00:02:05,040 Speaker 1: cites a source with direct knowledge of the operational planning 31 00:02:05,080 --> 00:02:11,959 Speaker 1: behind the plot. He says that divers planted C four 32 00:02:12,000 --> 00:02:15,720 Speaker 1: explosives on three North String pipelines in June of twenty 33 00:02:15,760 --> 00:02:19,639 Speaker 1: twenty two, and then three months later they were detonated. 34 00:02:21,080 --> 00:02:24,840 Speaker 1: They used a bully, a sonar bully, which broadcast a 35 00:02:24,960 --> 00:02:29,520 Speaker 1: signal from the bully to the pipelines that triggered the bombs. 36 00:02:31,320 --> 00:02:33,280 Speaker 1: And it was a direct response to the invasion of 37 00:02:33,360 --> 00:02:37,520 Speaker 1: Ukraine and was designed to force Germany and other European 38 00:02:37,600 --> 00:02:43,000 Speaker 1: nations to end their reliance on Russian gas, which Moscow 39 00:02:43,040 --> 00:02:47,160 Speaker 1: was getting billions of dollars from the sales. Now, the 40 00:02:47,200 --> 00:02:51,600 Speaker 1: White House and the CIA have completely rejected this report, 41 00:02:51,760 --> 00:02:57,160 Speaker 1: saying it is complete fiction. The blasts went off on 42 00:02:57,200 --> 00:03:03,639 Speaker 1: September twenty six to twenty twenty two, and allegedly investigators 43 00:03:03,680 --> 00:03:12,079 Speaker 1: are baffled by what happened. Now, the impact was limited 44 00:03:12,160 --> 00:03:16,040 Speaker 1: only because the pipelines were not fully operational, but the 45 00:03:16,080 --> 00:03:21,880 Speaker 1: future supply obviously was destroyed. Here's the timeline of it. 46 00:03:21,919 --> 00:03:26,200 Speaker 1: On September twenty sixth, a Norwegian surveillance plane dropped the 47 00:03:26,240 --> 00:03:33,440 Speaker 1: SNAr buoy onto the Baltic Sea, and this came just 48 00:03:33,800 --> 00:03:39,240 Speaker 1: after in June that Navy divers plant remote controlled C 49 00:03:39,520 --> 00:03:42,960 Speaker 1: four explosives on the pipeline pipeline. So the explosives were 50 00:03:43,000 --> 00:03:46,960 Speaker 1: planted first, then the sonar buoy was dropped from a plane. 51 00:03:47,720 --> 00:03:53,040 Speaker 1: Then the buoy emitted a sequence of low frequency sounds 52 00:03:53,040 --> 00:03:59,400 Speaker 1: certain tones. The C four explosives detected the signals and 53 00:04:00,120 --> 00:04:06,400 Speaker 1: set off the bombs. Now some wondered if Russia had 54 00:04:06,480 --> 00:04:09,480 Speaker 1: blown up their own pipeline in order to punish Europe, 55 00:04:10,240 --> 00:04:12,720 Speaker 1: and then some wondered if the US had done it 56 00:04:12,760 --> 00:04:18,039 Speaker 1: to punish Russia. And the investigators if they're telling the 57 00:04:18,080 --> 00:04:23,720 Speaker 1: truth said, Oh, I don't know, can't tell. Repairs are 58 00:04:23,720 --> 00:04:27,160 Speaker 1: going to cost at least five hundred million dollars half 59 00:04:27,160 --> 00:04:34,920 Speaker 1: a billion. The North String project cost twenty billion, twenty 60 00:04:34,920 --> 00:04:39,640 Speaker 1: billion dollars in fifteen years, and then just in a 61 00:04:39,760 --> 00:04:45,640 Speaker 1: split second, boom the pipe. The pipes were destroyed at 62 00:04:45,680 --> 00:04:53,080 Speaker 1: least in that section. According to the story, the cover 63 00:04:53,320 --> 00:04:56,680 Speaker 1: was a series of military exercises in the Baltic Sea 64 00:04:56,880 --> 00:05:02,560 Speaker 1: carried out by sixteen NATO countries. The divers used this event. 65 00:05:02,640 --> 00:05:05,719 Speaker 1: It was a thirteen day event known as balt Top 66 00:05:06,279 --> 00:05:09,920 Speaker 1: balt Tops twenty two. I guess it's an acronym for something, 67 00:05:11,120 --> 00:05:14,680 Speaker 1: and the event was used as a cover was a 68 00:05:14,680 --> 00:05:20,800 Speaker 1: top secret mission February. In February, Biden had said the 69 00:05:20,880 --> 00:05:24,080 Speaker 1: US would bring an end to nord Stream if Russia 70 00:05:24,160 --> 00:05:28,720 Speaker 1: invaded Ukraine. The exact quote was, if Russia invades, then 71 00:05:28,760 --> 00:05:31,320 Speaker 1: they'll be no longer a nord Stream too. We will 72 00:05:31,320 --> 00:05:35,560 Speaker 1: bring an end to it. And somebody asked, a reporter asked, 73 00:05:35,560 --> 00:05:38,919 Speaker 1: how would you do that, and Biden said, I promise 74 00:05:39,000 --> 00:05:43,279 Speaker 1: you will be able to do it, And then of 75 00:05:43,320 --> 00:05:46,160 Speaker 1: course he did it and denied it, and they're denying 76 00:05:46,200 --> 00:05:49,599 Speaker 1: the story. Well, you know, if the story is true, 77 00:05:49,640 --> 00:05:54,320 Speaker 1: then he did it. Joe Biden reportedly oversaw the plot, 78 00:05:57,040 --> 00:05:59,520 Speaker 1: and then it reiterates that the White House in CII 79 00:05:59,600 --> 00:06:01,680 Speaker 1: claimed the it's false. Oh yeah, like the like the 80 00:06:01,720 --> 00:06:06,120 Speaker 1: CIA is going to tell the truth. This is a 81 00:06:06,160 --> 00:06:08,599 Speaker 1: perfect example. It's something we were discussing the other day. 82 00:06:09,360 --> 00:06:11,320 Speaker 1: You have no idea who to believe. You certainly aren't 83 00:06:11,320 --> 00:06:14,520 Speaker 1: going to believe the Russians. You can't believe our government, 84 00:06:14,520 --> 00:06:16,360 Speaker 1: and they may have good reason for covering this up, 85 00:06:17,320 --> 00:06:21,680 Speaker 1: but still if you're a regular person trying to understand 86 00:06:21,680 --> 00:06:27,039 Speaker 1: what's going on in the world, I mean, Russia not 87 00:06:27,120 --> 00:06:30,280 Speaker 1: being able to send natural gas to Europe is going 88 00:06:30,320 --> 00:06:32,520 Speaker 1: to drive up the price of natural gas around the world. 89 00:06:33,600 --> 00:06:36,600 Speaker 1: And you've seen what your bill looks like these days. 90 00:06:43,520 --> 00:06:46,599 Speaker 1: So that's uh. I guess that's where they Unless somebody 91 00:06:46,600 --> 00:06:50,160 Speaker 1: speaks publicly, somebody involved with the operation, and those guys 92 00:06:50,160 --> 00:06:54,240 Speaker 1: are sworn to secrecy. I guess the story's just going 93 00:06:54,279 --> 00:06:56,760 Speaker 1: to sit here because you have one journalist with his 94 00:06:56,839 --> 00:07:03,120 Speaker 1: sources nobody named as as I can tell, everybody's denying it, 95 00:07:03,120 --> 00:07:07,599 Speaker 1: which probably means it's true. More coming up on the 96 00:07:07,680 --> 00:07:10,560 Speaker 1: John and Ken Show. All right, So last night during 97 00:07:10,560 --> 00:07:14,920 Speaker 1: the State of the Union, Biden made another pitch for amnesty. 98 00:07:15,080 --> 00:07:18,360 Speaker 1: He got booed by the Republicans. They also booted him 99 00:07:18,360 --> 00:07:21,200 Speaker 1: because he talked about fentinel debts. And that's also the 100 00:07:21,240 --> 00:07:25,720 Speaker 1: consequence of a wide open border. Now there's another aspect 101 00:07:26,280 --> 00:07:29,080 Speaker 1: of the story that we don't talk about as much. Obviously, 102 00:07:29,680 --> 00:07:33,040 Speaker 1: Biden has been waving in migrants from all over the 103 00:07:33,080 --> 00:07:36,960 Speaker 1: world into the country. Has come up with some kakammi 104 00:07:37,720 --> 00:07:41,360 Speaker 1: new idea to sort of recategorize them out of the 105 00:07:41,400 --> 00:07:45,360 Speaker 1: illegal category by giving them some sort of special status. 106 00:07:45,640 --> 00:07:49,320 Speaker 1: But here's what it often does come back to, besides 107 00:07:49,360 --> 00:07:53,000 Speaker 1: the politics, who was ever running the Department of Homeland Security, 108 00:07:53,480 --> 00:07:57,400 Speaker 1: and that is the job situation. The Wall Street Journal 109 00:07:57,400 --> 00:07:59,880 Speaker 1: did a long story and this is what gets back 110 00:08:00,440 --> 00:08:04,520 Speaker 1: to people in foreign countries just as much as Biden's 111 00:08:04,560 --> 00:08:08,240 Speaker 1: open door policies. There's jobs here and they're paying better 112 00:08:08,280 --> 00:08:11,720 Speaker 1: than ever. You have heard time and time again that 113 00:08:11,760 --> 00:08:14,920 Speaker 1: we've hit some pretty low unemployment rates. Three point four 114 00:08:15,000 --> 00:08:18,800 Speaker 1: percent in January was the lowest in fifty three years. 115 00:08:18,920 --> 00:08:22,560 Speaker 1: And whether or not that includes people that just don't 116 00:08:22,560 --> 00:08:24,840 Speaker 1: want to work, so they're not looking for work. So 117 00:08:24,880 --> 00:08:28,520 Speaker 1: they're not encountered in the unemployment It doesn't it's not included. 118 00:08:28,800 --> 00:08:30,880 Speaker 1: You know, you know how many people dropped out of 119 00:08:30,920 --> 00:08:34,720 Speaker 1: the workforce in the past few years, like they're alive, 120 00:08:35,720 --> 00:08:40,400 Speaker 1: they can work, but they don't. Seven and a half million, wow, 121 00:08:40,679 --> 00:08:43,880 Speaker 1: seven and a half million people. The pandemic really shook 122 00:08:43,920 --> 00:08:45,880 Speaker 1: some people up and they just decided they didn't want 123 00:08:45,880 --> 00:08:48,079 Speaker 1: to do the job they were doing anymore. And guess 124 00:08:48,080 --> 00:08:52,079 Speaker 1: what those jobs often were, the lower paying service jobs. 125 00:08:52,840 --> 00:08:57,080 Speaker 1: Apparently there's a shortage of cooks and dishwashers, and in 126 00:08:57,160 --> 00:09:00,400 Speaker 1: some regions of the country they are trying really hard 127 00:09:00,440 --> 00:09:03,959 Speaker 1: distributing flyers and subway stations and bus stops with large 128 00:09:04,040 --> 00:09:07,360 Speaker 1: migrant communities. Well, and what has happened with this is 129 00:09:07,400 --> 00:09:12,120 Speaker 1: the pay has increased dramatically for some of these jobs. 130 00:09:12,720 --> 00:09:15,880 Speaker 1: One guy who came from Honduras two years ago was 131 00:09:15,960 --> 00:09:18,439 Speaker 1: paid just thirteen dollars an hour. Now he makes over 132 00:09:18,559 --> 00:09:22,640 Speaker 1: eighteen dollars an hour assembling shelves and warehouses in Florida. 133 00:09:22,760 --> 00:09:27,679 Speaker 1: Tell me why everyone on welfare isn't contacted and told 134 00:09:27,720 --> 00:09:29,520 Speaker 1: to take one of these jobs or you lose your 135 00:09:29,520 --> 00:09:34,160 Speaker 1: welfare benefits. Why wouldn't you do that you should do that. 136 00:09:34,160 --> 00:09:37,520 Speaker 1: That should be an absolute. We got an eleven million 137 00:09:37,600 --> 00:09:41,560 Speaker 1: job openings. Why are we paying eleven million people? I 138 00:09:41,600 --> 00:09:44,640 Speaker 1: wonder how many people are in welfare. There's no excuse 139 00:09:44,679 --> 00:09:47,920 Speaker 1: for it, food stamps, whatever you call it. Now you 140 00:09:47,960 --> 00:09:50,920 Speaker 1: know because there's one hundred different programs, but it all 141 00:09:50,960 --> 00:09:55,960 Speaker 1: involves the same thing. You're getting cash or the equivalent 142 00:09:55,960 --> 00:10:01,000 Speaker 1: of cash to buy stuff. Migrant construction in the Washington 143 00:10:01,040 --> 00:10:03,720 Speaker 1: area make an average of one hundred and twenty dollars 144 00:10:03,800 --> 00:10:06,720 Speaker 1: a day before the pandemic. It has risen to about 145 00:10:06,720 --> 00:10:10,480 Speaker 1: two hundred dollars a day. That's how in demand that 146 00:10:10,520 --> 00:10:13,839 Speaker 1: type of labor is. Right now, that word gets back 147 00:10:13,880 --> 00:10:16,840 Speaker 1: to these countries of Central and South America, and that's 148 00:10:16,840 --> 00:10:18,760 Speaker 1: going to bring another flood of people along with the 149 00:10:18,760 --> 00:10:20,320 Speaker 1: fact that, yeah, they heard it's easy to get into 150 00:10:20,320 --> 00:10:22,600 Speaker 1: the United States and stay here. But they're also hearing 151 00:10:22,640 --> 00:10:25,679 Speaker 1: about the money. Do you see the remittance number? The 152 00:10:25,760 --> 00:10:29,320 Speaker 1: US World Bank estimates remittances to Latin America who more 153 00:10:29,360 --> 00:10:32,280 Speaker 1: than nine percent in twenty twenty two to one hundred 154 00:10:32,360 --> 00:10:35,760 Speaker 1: and forty two billion dollars being sent out of the country. 155 00:10:36,960 --> 00:10:40,080 Speaker 1: So we've heard this before. These are the jobs Americans 156 00:10:40,480 --> 00:10:44,600 Speaker 1: won't do well. Now you can see that. That's kind 157 00:10:44,600 --> 00:10:48,839 Speaker 1: of what's happening with some of these You know what 158 00:10:50,120 --> 00:10:54,280 Speaker 1: I don't don't I don't really understand. Because you have 159 00:10:54,320 --> 00:10:56,720 Speaker 1: an incompetent government, they just hand out checks. I mean, 160 00:10:56,760 --> 00:10:59,800 Speaker 1: they handed out trillions of dollars to people. You shouldn't 161 00:10:59,800 --> 00:11:04,520 Speaker 1: get a single penny you haven't earned unless somehow you're 162 00:11:04,559 --> 00:11:08,360 Speaker 1: physically or mentally incapable of working. But if you can 163 00:11:08,480 --> 00:11:11,240 Speaker 1: stand and breathe and speak, then you should be forced 164 00:11:11,280 --> 00:11:12,920 Speaker 1: to go to work. Or you don't get a dollar 165 00:11:12,960 --> 00:11:15,360 Speaker 1: from the government. We can give you a subsidy if 166 00:11:15,360 --> 00:11:18,240 Speaker 1: you're not making enough, but you should be able to 167 00:11:18,240 --> 00:11:21,600 Speaker 1: take the highest paid job that you are qualified to take, 168 00:11:22,280 --> 00:11:25,360 Speaker 1: and it should be mandatory. It's like you have to 169 00:11:25,480 --> 00:11:28,040 Speaker 1: check in with a pearl officer right every week. If 170 00:11:28,040 --> 00:11:29,880 Speaker 1: you're a criminal, well you have to check in with 171 00:11:29,920 --> 00:11:34,000 Speaker 1: a welfare officer, and the officers should say, well, did 172 00:11:34,000 --> 00:11:36,520 Speaker 1: you get a job yet? No, Oh, well you don't 173 00:11:36,520 --> 00:11:38,880 Speaker 1: get your check, then we'll give you half a check 174 00:11:38,920 --> 00:11:40,600 Speaker 1: if you go get a job, you know, and slowly 175 00:11:40,600 --> 00:11:45,400 Speaker 1: wean them off. This is inexcusable. Eleven million job openings. 176 00:11:45,440 --> 00:11:48,800 Speaker 1: All we need to pay all these illegal aliens. That's nonsense. 177 00:11:49,720 --> 00:11:52,559 Speaker 1: We got tons of Americans just flat out refusing to work. 178 00:11:52,640 --> 00:11:55,560 Speaker 1: And we know who they are because we're sending them checks. 179 00:11:55,559 --> 00:11:58,200 Speaker 1: We have their names and addresses. We know exactly who 180 00:11:58,200 --> 00:12:00,640 Speaker 1: they are and where they live. So they ought to 181 00:12:00,640 --> 00:12:02,280 Speaker 1: get a knock on the door and say, hey, time 182 00:12:02,320 --> 00:12:04,520 Speaker 1: to go to work. Here. I got a list of 183 00:12:04,840 --> 00:12:08,240 Speaker 1: eleven million jobs. Surely there's one in the neighborhood for you. 184 00:12:10,880 --> 00:12:13,240 Speaker 1: The flow of job seekers is helped along by an 185 00:12:13,280 --> 00:12:17,080 Speaker 1: informal network on social media. Many migrants know what job 186 00:12:17,160 --> 00:12:19,000 Speaker 1: is waiting for them in the US before they even 187 00:12:19,080 --> 00:12:23,240 Speaker 1: leave home. On Facebook. Maya communities in Mexico's you could 188 00:12:23,280 --> 00:12:26,040 Speaker 1: tend Peninsula get job alerts from relatives. On the US 189 00:12:26,080 --> 00:12:29,680 Speaker 1: West Coast, cleaning staff wanted pay as sixteen to eighteen 190 00:12:29,679 --> 00:12:34,120 Speaker 1: dollars an hour. Schedules vary. See that will drive people 191 00:12:34,120 --> 00:12:38,840 Speaker 1: here too. Yeah, I'm looking here, right, it's I'm just 192 00:12:38,880 --> 00:12:41,520 Speaker 1: looking at some websites here. How many people are in welfare? 193 00:12:42,200 --> 00:12:46,679 Speaker 1: The US has six major welfare programs, Temporary Assistance for 194 00:12:46,760 --> 00:12:53,760 Speaker 1: Needy Families, Supplemental Nutrition Assistance program and others. Right now, 195 00:12:53,960 --> 00:12:57,880 Speaker 1: so now, the states that had the largest number of 196 00:12:57,960 --> 00:13:06,600 Speaker 1: snappers recipients California three point eight million. Three point eight 197 00:13:06,679 --> 00:13:12,560 Speaker 1: million people are getting Yeah, the Supplemental Nutrition assistant programs. Yeah, 198 00:13:12,559 --> 00:13:17,120 Speaker 1: so that's the food stamp category. And Texas has got 199 00:13:17,160 --> 00:13:19,640 Speaker 1: almost three and a half million, Florida almost three million, 200 00:13:19,640 --> 00:13:21,600 Speaker 1: New York two and a half million, and on and 201 00:13:21,640 --> 00:13:25,559 Speaker 1: on and on. So why why are there three and 202 00:13:25,559 --> 00:13:29,400 Speaker 1: a half million people getting money to buy food where 203 00:13:29,520 --> 00:13:34,880 Speaker 1: I'm sure there's probably a million jobs unfilled here in California, 204 00:13:34,960 --> 00:13:37,720 Speaker 1: and I know there are. I mean I go to 205 00:13:37,760 --> 00:13:41,280 Speaker 1: the local drug store. There's twenty two people in line. 206 00:13:42,760 --> 00:13:45,360 Speaker 1: Because I've talked to the manager there. I told the 207 00:13:45,400 --> 00:13:47,480 Speaker 1: manager this is ridiculous. Why do I have to stand 208 00:13:47,480 --> 00:13:49,520 Speaker 1: in line behind twenty two people? He goes, well, we 209 00:13:49,520 --> 00:13:53,040 Speaker 1: can't hire anybody. I mean we can, but we try 210 00:13:53,080 --> 00:13:55,520 Speaker 1: and nobody. Nobody shows up for a job interview, and 211 00:13:55,559 --> 00:13:59,520 Speaker 1: if they are hired, they just don't show up for work. Now, 212 00:13:59,520 --> 00:14:01,800 Speaker 1: you're a white desperate employers and will take on migrants 213 00:14:01,840 --> 00:14:04,720 Speaker 1: because you got to have somebody to wash the dishes. 214 00:14:04,800 --> 00:14:07,360 Speaker 1: But if they table, if they cut off the free 215 00:14:07,440 --> 00:14:12,720 Speaker 1: money to these lazy bums, oh, the ones that yeah, 216 00:14:12,720 --> 00:14:17,400 Speaker 1: the ones who are are getting some kind of government assistance. Yeah, 217 00:14:17,440 --> 00:14:19,680 Speaker 1: because it's the same type of jobs I'm seeing this story. 218 00:14:19,680 --> 00:14:23,440 Speaker 1: It's restaurant work, it's housekeeping work, it's construction work. It's 219 00:14:23,440 --> 00:14:26,360 Speaker 1: stuff we've talked about for years that usually shifts over 220 00:14:26,400 --> 00:14:28,440 Speaker 1: to migrants. But I think it's even bigger than ever 221 00:14:29,080 --> 00:14:33,560 Speaker 1: that migrants are needed for these jobs. Yeah, I've got, 222 00:14:33,560 --> 00:14:38,160 Speaker 1: I've got. I've just got no sympathy for people. If 223 00:14:38,480 --> 00:14:41,880 Speaker 1: your mental health and physical health is in acceptable shape, 224 00:14:42,200 --> 00:14:49,160 Speaker 1: then then stand up, go do something. Move. Yeah, they 225 00:14:49,200 --> 00:14:51,960 Speaker 1: talked to a migrant from Venezuela. We know a lot 226 00:14:52,000 --> 00:14:54,880 Speaker 1: of people from Venezuela came here. He actually crossed the 227 00:14:54,960 --> 00:14:58,120 Speaker 1: Rio grand last year starting at a tomato processing plant 228 00:14:58,120 --> 00:15:03,560 Speaker 1: at Tennessee. Now he's at a vegetable processing plant well, 229 00:15:03,640 --> 00:15:06,680 Speaker 1: making fifteen dollars an hour. Well, because you know the migrants. 230 00:15:06,720 --> 00:15:08,560 Speaker 1: As a waiter in Ecuador, he made less than two 231 00:15:08,640 --> 00:15:12,640 Speaker 1: fifty an hour. The migrants buying large do work, and 232 00:15:12,720 --> 00:15:14,680 Speaker 1: they work very hard. I mean, if you see any 233 00:15:14,680 --> 00:15:17,440 Speaker 1: of the crews that work on homes, whether the construction 234 00:15:17,480 --> 00:15:21,320 Speaker 1: crews or gardening crews or maintenance crews, yeah, they're largely 235 00:15:21,640 --> 00:15:25,360 Speaker 1: largely immigrants. You could just tell you. You hear you 236 00:15:25,400 --> 00:15:28,720 Speaker 1: hear them talk. They're mostly talk in Spanish. I don't 237 00:15:28,720 --> 00:15:31,120 Speaker 1: know what their legal status is, but they're they're working hard. 238 00:15:31,160 --> 00:15:33,680 Speaker 1: They're sweating hard all day. They're they're lifting lots of 239 00:15:33,720 --> 00:15:37,920 Speaker 1: heavy things. You know, there's very few breaks. There's one 240 00:15:37,960 --> 00:15:41,080 Speaker 1: brief lunch period from what I can see, and that's it. 241 00:15:41,160 --> 00:15:45,440 Speaker 1: So what are the Americans excuse? Exactly? This is the 242 00:15:45,480 --> 00:15:49,560 Speaker 1: Americans I've yell at about. I know, I know, I 243 00:15:49,600 --> 00:15:52,200 Speaker 1: mean everything's relative. People in these countries that make so 244 00:15:52,320 --> 00:15:54,480 Speaker 1: little money and so desperate they want to work, they'll 245 00:15:54,480 --> 00:15:56,680 Speaker 1: come here and take the jobs. Heah, the Americans won't do. 246 00:15:56,880 --> 00:15:58,760 Speaker 1: I mean, that's that's why a lot of them are 247 00:15:58,800 --> 00:16:02,440 Speaker 1: coming over the border of asleep. And so you know, 248 00:16:02,480 --> 00:16:05,520 Speaker 1: what's your excuse as an American taking a check from 249 00:16:05,560 --> 00:16:09,240 Speaker 1: the government because you don't feel like it? You know, 250 00:16:09,360 --> 00:16:12,280 Speaker 1: they've always pondered that question. We've read during the pandemic, 251 00:16:12,320 --> 00:16:15,000 Speaker 1: a lot of people just walked away from their jobs. Well, 252 00:16:15,080 --> 00:16:18,320 Speaker 1: and that's just giving more openings to migrants. That's another 253 00:16:18,360 --> 00:16:20,520 Speaker 1: reason that the border is getting rushed, right. And then 254 00:16:20,560 --> 00:16:23,320 Speaker 1: they you know, they sit around, they're getting free money. 255 00:16:23,360 --> 00:16:26,240 Speaker 1: What do they do they start doing drugs, they start 256 00:16:26,520 --> 00:16:29,560 Speaker 1: doing booze, and next thing you know, they're out on 257 00:16:29,560 --> 00:16:31,960 Speaker 1: the street. And I'm supposed to give them a house. 258 00:16:32,520 --> 00:16:34,840 Speaker 1: But didn't you say yesterday that I thought it was 259 00:16:34,920 --> 00:16:36,400 Speaker 1: you put them in someone else? I was talking to 260 00:16:36,800 --> 00:16:39,560 Speaker 1: that that that people's reserves are really low. Now they 261 00:16:39,600 --> 00:16:41,840 Speaker 1: remember that they're the money they saved up from the 262 00:16:41,880 --> 00:16:45,240 Speaker 1: pandemic relief money, and the they are getting low savings 263 00:16:45,240 --> 00:16:49,680 Speaker 1: accounts are being depleted, their credit cards, the balances are 264 00:16:49,680 --> 00:16:52,160 Speaker 1: starting to balloon. You know, they've hit the end of 265 00:16:52,160 --> 00:16:54,520 Speaker 1: the road here. Part of it is the inflation, right, 266 00:16:54,560 --> 00:16:58,600 Speaker 1: everybody's got to In fact, it costs fourteen percent more 267 00:16:58,640 --> 00:17:01,320 Speaker 1: to live today than it did at the beginning of 268 00:17:01,360 --> 00:17:04,600 Speaker 1: Joe Biden's term. Because this inflation is now into its 269 00:17:04,600 --> 00:17:07,360 Speaker 1: second year, so it's cumulative, right, and so now it's 270 00:17:07,560 --> 00:17:11,600 Speaker 1: fourteen percent higher total. And that's not going down. I mean, 271 00:17:11,640 --> 00:17:14,240 Speaker 1: the inflation rate is going down slightly, but even if 272 00:17:14,280 --> 00:17:17,000 Speaker 1: it's at six percent instead of eight percent, it's still 273 00:17:17,040 --> 00:17:19,440 Speaker 1: at six percent. That means it's six percent more expensive 274 00:17:19,440 --> 00:17:21,440 Speaker 1: than a year ago. A lot of things aren't making 275 00:17:21,480 --> 00:17:23,800 Speaker 1: sense to me because the raising the interest rates, and 276 00:17:23,840 --> 00:17:26,400 Speaker 1: that's supposed to have an effect and result in an 277 00:17:26,440 --> 00:17:29,439 Speaker 1: unemployment and a weaker economy. But the unemployment is the 278 00:17:29,480 --> 00:17:31,359 Speaker 1: lowest in fifty three years, So what would be the 279 00:17:31,520 --> 00:17:33,399 Speaker 1: what would be Eventually these two have to mesh and 280 00:17:33,760 --> 00:17:36,879 Speaker 1: cross over somewhere, right, What would the employment number be 281 00:17:36,920 --> 00:17:39,120 Speaker 1: if you threw in the seven million who dropped out 282 00:17:39,119 --> 00:17:42,120 Speaker 1: of the workforce. Yeah, that's exactly right. We don't know 283 00:17:42,359 --> 00:17:45,040 Speaker 1: what that number is because they're not counted. I've always 284 00:17:45,040 --> 00:17:47,119 Speaker 1: thought for a long time the unemployment number is the 285 00:17:47,119 --> 00:17:50,400 Speaker 1: fakest number the government puts out because it doesn't account 286 00:17:50,400 --> 00:17:53,159 Speaker 1: for people who were work, gave up looking for work, 287 00:17:53,280 --> 00:17:55,440 Speaker 1: or are not looking for work. Right, Right, And then 288 00:17:55,440 --> 00:17:57,239 Speaker 1: I look at the millions and millions of people on 289 00:17:57,280 --> 00:18:02,520 Speaker 1: these various welfare programs, and I mean there was there 290 00:18:02,560 --> 00:18:04,919 Speaker 1: was a brief time when Clinton was president. Clinton of 291 00:18:04,960 --> 00:18:10,080 Speaker 1: all people, was insisting that you had to work, you 292 00:18:10,160 --> 00:18:12,040 Speaker 1: weren't going to be on welfare, and definitely there were 293 00:18:12,040 --> 00:18:13,560 Speaker 1: going to be strict limits, and then you were going 294 00:18:13,600 --> 00:18:17,000 Speaker 1: to get weaned off and were you had to work, 295 00:18:17,080 --> 00:18:19,440 Speaker 1: and then the more you work, less welfare you got. 296 00:18:20,040 --> 00:18:23,280 Speaker 1: And I don't know what happened at that philosophy. We 297 00:18:23,320 --> 00:18:25,439 Speaker 1: got more comed up Johnny kN K I Am six 298 00:18:25,640 --> 00:18:28,600 Speaker 1: forty live everywhere the iHeartRadio app. More funny stuff from 299 00:18:28,600 --> 00:18:32,000 Speaker 1: those Twitter hearings today the House of Representatives, questioning the 300 00:18:32,520 --> 00:18:37,439 Speaker 1: Twitter trifecta was the former Deputy General Counsel James Baker, 301 00:18:37,920 --> 00:18:40,919 Speaker 1: the ex Head of Trust and Safety Yoel Roth, and 302 00:18:41,000 --> 00:18:43,360 Speaker 1: the woman we talked about last hour, the former policy 303 00:18:43,400 --> 00:18:51,360 Speaker 1: director Jaya Gotti. I heard that AOC Alexandria Costio Cortez 304 00:18:51,600 --> 00:18:55,680 Speaker 1: still believes that the Hunter Biden laptop stories only half true. 305 00:18:56,160 --> 00:19:00,000 Speaker 1: That's right. She called it half fake, half fake, right, Yeah, 306 00:19:00,080 --> 00:19:02,960 Speaker 1: she was. She was screeching today. What part of its fake? 307 00:19:03,320 --> 00:19:07,560 Speaker 1: She didn't explain, She didn't explain. No, she just listed 308 00:19:07,600 --> 00:19:10,320 Speaker 1: all the important issues of the day, and we're spending 309 00:19:10,400 --> 00:19:15,320 Speaker 1: time here on Hunter Biden's half fake laptop story. When 310 00:19:15,359 --> 00:19:18,040 Speaker 1: they were questioned these three I mentioned about the Hunter 311 00:19:18,080 --> 00:19:21,639 Speaker 1: Biden's story, they all seemed to pull the old Nixon 312 00:19:21,680 --> 00:19:26,760 Speaker 1: I call it. I don't recollect, I cannot recall. They 313 00:19:26,760 --> 00:19:28,439 Speaker 1: were asked, if you did you talk to the FBI 314 00:19:29,160 --> 00:19:32,240 Speaker 1: about the Hunter Biden laptop. Baker said, to the best 315 00:19:32,240 --> 00:19:34,280 Speaker 1: of my recollection, I recollection. I did not talk to 316 00:19:34,320 --> 00:19:36,600 Speaker 1: the FBI about the Hunter Biden's story before that day, 317 00:19:36,880 --> 00:19:39,640 Speaker 1: before that day, did you talk to them after that day? 318 00:19:39,640 --> 00:19:42,800 Speaker 1: And Baker said, I do not recall. Then why did 319 00:19:42,840 --> 00:19:47,639 Speaker 1: you word your first answer that way? Exactly? It implied 320 00:19:47,720 --> 00:19:51,440 Speaker 1: that you talked to them after that day. Sitting here today, 321 00:19:51,480 --> 00:19:53,600 Speaker 1: I don't recall speaking with the FBI at all about 322 00:19:53,600 --> 00:19:57,320 Speaker 1: the Hunter Biden matter the laptop. If you ever do 323 00:19:57,359 --> 00:20:01,000 Speaker 1: a deposition and there's ever a la mind that you 324 00:20:01,119 --> 00:20:04,439 Speaker 1: and your attorney don't want to discuss, you say I 325 00:20:04,560 --> 00:20:09,520 Speaker 1: don't recall because you can't get prosecuted for perjury for that, 326 00:20:09,680 --> 00:20:15,520 Speaker 1: because they can't prove what you don't remember. Apparently this 327 00:20:15,600 --> 00:20:18,400 Speaker 1: is Jim Jordan, the congressman from Ohio, was going after 328 00:20:18,440 --> 00:20:20,920 Speaker 1: this banker guy, and he said, well, did you talk 329 00:20:20,960 --> 00:20:24,560 Speaker 1: to these fifty one former intelligence officials who implied the 330 00:20:24,640 --> 00:20:29,560 Speaker 1: laptop was Russian misinformation? The answer again was I don't recall. 331 00:20:30,119 --> 00:20:31,960 Speaker 1: I can't remember who's in that group, and I don't 332 00:20:32,000 --> 00:20:35,399 Speaker 1: recall talking to anybody. So j was kind of the 333 00:20:35,400 --> 00:20:37,480 Speaker 1: theme that went back and forth like this. I haven't 334 00:20:37,520 --> 00:20:39,879 Speaker 1: had time to read it, and it ties into this 335 00:20:39,920 --> 00:20:44,680 Speaker 1: Twitter story. But the Columbia Journalism Review, which is supposedly 336 00:20:44,720 --> 00:20:50,159 Speaker 1: the gold standard of journalistic integrity. Right now, they have 337 00:20:50,400 --> 00:20:54,400 Speaker 1: done an in depth investigation into the journalism done during 338 00:20:54,440 --> 00:20:58,680 Speaker 1: the Russian hoax, you know, the dossier, the hookers peeing 339 00:20:58,680 --> 00:21:01,520 Speaker 1: on Trump's bad, that whole story, and they found out 340 00:21:01,560 --> 00:21:04,480 Speaker 1: the whole thing really was garbage and nonsense, and that 341 00:21:04,600 --> 00:21:09,480 Speaker 1: the mainstream media media really soiled itself over it, I 342 00:21:09,520 --> 00:21:16,640 Speaker 1: mean just really just made stuff up. And other news 343 00:21:16,680 --> 00:21:21,040 Speaker 1: outlets had been contacting people from NBC and CNN and 344 00:21:21,080 --> 00:21:24,040 Speaker 1: The New York Times for a reaction to this Columbia 345 00:21:24,119 --> 00:21:29,439 Speaker 1: Journalism Review analysis, and nobody wants to comment. Oh really, 346 00:21:29,520 --> 00:21:31,760 Speaker 1: everyone's like hiding under their desk waiting for it to 347 00:21:31,760 --> 00:21:36,320 Speaker 1: go away. Yeah. This really was completely purposely ginned up 348 00:21:36,640 --> 00:21:39,840 Speaker 1: to try to overthrow Trump, first to block him from 349 00:21:39,840 --> 00:21:44,640 Speaker 1: getting into office, and then to get him thrown out. Yeah. 350 00:21:44,720 --> 00:21:48,120 Speaker 1: Well it worked, didn't it? And Twitter was doing its part. Yeah, 351 00:21:48,119 --> 00:21:52,280 Speaker 1: it took four years after he got in, But now 352 00:21:53,640 --> 00:21:55,160 Speaker 1: I'm not so sure. A lot of the problem wasn't 353 00:21:55,400 --> 00:21:58,359 Speaker 1: Trump's personnelity just wore on some people. Well, no, Trump 354 00:21:58,440 --> 00:22:02,280 Speaker 1: did everything he could too haste in his demise, but 355 00:22:03,040 --> 00:22:05,040 Speaker 1: all all the scandals that were going on for the 356 00:22:05,040 --> 00:22:07,960 Speaker 1: four years. Yeah, yeah, most of them are out and 357 00:22:08,000 --> 00:22:11,560 Speaker 1: out media lies, political lies. It really was, and everybody 358 00:22:11,640 --> 00:22:16,399 Speaker 1: was coats, the FBI, Twitter, Facebook, all of it. This 359 00:22:16,960 --> 00:22:19,360 Speaker 1: was your little glimpse of what it's like to live 360 00:22:19,440 --> 00:22:21,800 Speaker 1: under a Soviet rule. That's what we had the last 361 00:22:21,840 --> 00:22:25,040 Speaker 1: few years. Oh, we have one more piece of audio 362 00:22:25,160 --> 00:22:29,200 Speaker 1: associated with last night's State of the Union speech. It's 363 00:22:29,240 --> 00:22:34,840 Speaker 1: not Biden. Apparently it's Jim Biden. There was no alcohol 364 00:22:35,520 --> 00:22:39,600 Speaker 1: for the White House staffer's watch party, and apparently she 365 00:22:39,720 --> 00:22:42,880 Speaker 1: expressed some real from real disappointment and not being able 366 00:22:42,920 --> 00:22:48,800 Speaker 1: to drink or well, let's play the clip anyway. I 367 00:22:48,840 --> 00:22:50,560 Speaker 1: hope you have a good rest of the night. Did 368 00:22:50,560 --> 00:23:14,000 Speaker 1: they bring alcohol in here? Now? Uh? You know the 369 00:23:14,040 --> 00:23:16,080 Speaker 1: real reason is, first of all, there's always a drinking 370 00:23:16,080 --> 00:23:17,560 Speaker 1: game with the State of the Union. You know, you 371 00:23:17,600 --> 00:23:20,080 Speaker 1: have the Bengo card and for this president reads the 372 00:23:20,119 --> 00:23:24,080 Speaker 1: same tired line. You take a drink. But honestly, if 373 00:23:24,080 --> 00:23:26,919 Speaker 1: you're part of the Biden White House staff, imagine how 374 00:23:27,000 --> 00:23:29,120 Speaker 1: much you need alcohol on the daily basis to deal 375 00:23:29,160 --> 00:23:31,240 Speaker 1: with all the emergencies about what he might say or 376 00:23:31,280 --> 00:23:34,040 Speaker 1: does say. I'm sure she's not gonna back every night 377 00:23:34,040 --> 00:23:38,359 Speaker 1: because she's got to chase Joe around. Joe's running around 378 00:23:38,359 --> 00:23:43,320 Speaker 1: in his diaper. Kiss. Oh did you see that? You 379 00:23:43,359 --> 00:23:46,639 Speaker 1: see Joe Biden planting one on the lips of Kamala 380 00:23:46,720 --> 00:23:52,160 Speaker 1: Harris's husband. I did see that. That's Doug. What'smff? Maybe 381 00:23:52,200 --> 00:23:54,600 Speaker 1: she was looking for more booze with the staffords. He's 382 00:23:54,640 --> 00:23:57,600 Speaker 1: second gentleman. Yeah, they got the first. The first lady 383 00:23:57,680 --> 00:24:02,280 Speaker 1: kissed the second gentleman right on the lips. Yeah, yeah, yeah, 384 00:24:02,400 --> 00:24:05,720 Speaker 1: Usually polite in public, you just kiss on the cheek, right, Yeah, 385 00:24:05,880 --> 00:24:08,000 Speaker 1: you do those air kisses, well, you do because women 386 00:24:08,040 --> 00:24:10,119 Speaker 1: don't want to mess up their lipstick. Those kids, you 387 00:24:10,119 --> 00:24:11,600 Speaker 1: pretend to go from one side of the head to 388 00:24:11,640 --> 00:24:14,959 Speaker 1: the other, right, Debra, that's what the air, Yes, exactly. Oh, 389 00:24:15,000 --> 00:24:18,640 Speaker 1: it's about the makeup yet the germs, well that too. 390 00:24:18,720 --> 00:24:22,200 Speaker 1: I mean no, I no, I don't need to kiss 391 00:24:22,240 --> 00:24:27,640 Speaker 1: somebody on the lips nostick. That implies a more intimate 392 00:24:27,920 --> 00:24:31,440 Speaker 1: either you're related, or you're or you're really close friends, 393 00:24:31,680 --> 00:24:36,560 Speaker 1: or you want to be yes, I maybe, yeah, maybe 394 00:24:37,040 --> 00:24:41,080 Speaker 1: Jill and Dug mff that they're both married to idiots. 395 00:24:41,240 --> 00:24:43,280 Speaker 1: That the racy gossip coming out of this that they 396 00:24:43,359 --> 00:24:45,280 Speaker 1: might have some sort of thing. They have a lot 397 00:24:45,320 --> 00:24:46,960 Speaker 1: in common. They got a spouse and comes home and 398 00:24:47,000 --> 00:24:50,359 Speaker 1: makes no sense. They have nobody to talk to. Yeah, really, 399 00:24:50,400 --> 00:24:53,680 Speaker 1: they're both probably reading the stories about thousand. Do you imagine? 400 00:24:53,800 --> 00:24:56,120 Speaker 1: No real leads you to drink and kiss people everywhere. 401 00:24:56,320 --> 00:24:59,280 Speaker 1: You're sitting at the dinner table and Kevila Harris comes home. 402 00:25:00,040 --> 00:25:02,159 Speaker 1: You're gonna listen to that, or you're gonna listen to 403 00:25:02,240 --> 00:25:06,879 Speaker 1: Joe Biden. Yeah, I made you a word salad for tonight. 404 00:25:07,400 --> 00:25:09,760 Speaker 1: Joe kind of gibberish? Can you spout? Joe put on 405 00:25:09,840 --> 00:25:13,600 Speaker 1: a shirt? Come on. It said that they grabbed hands 406 00:25:13,840 --> 00:25:17,960 Speaker 1: and shared a quick smile before swiftly embracing M and 407 00:25:18,440 --> 00:25:21,760 Speaker 1: then had their magic little kiss that got a lot 408 00:25:21,800 --> 00:25:25,480 Speaker 1: of people's attention. I think they're both fed up people 409 00:25:25,600 --> 00:25:28,120 Speaker 1: do that. I've seen that, and actually I do have. 410 00:25:28,840 --> 00:25:31,440 Speaker 1: I have had a guy friend do that. It did 411 00:25:31,440 --> 00:25:33,520 Speaker 1: make me feel uncomfortable. I thought it was weird, but 412 00:25:33,920 --> 00:25:36,600 Speaker 1: I didn't really say anything. You should have charged him, 413 00:25:36,640 --> 00:25:42,480 Speaker 1: I know I should have. Yeah. Yeah, sometimes sometimes, you know, 414 00:25:42,520 --> 00:25:46,920 Speaker 1: when you go to those uh parent parties. Yeah, occasionally, 415 00:25:46,920 --> 00:25:50,280 Speaker 1: after drinking, some people start to take liberties on both sides. 416 00:25:53,400 --> 00:26:01,000 Speaker 1: Speaking from experienced the goodbye hugs and kisses sometimes extra sure, 417 00:26:01,480 --> 00:26:05,360 Speaker 1: hey little handsy, touchy feely, what are you doing there? 418 00:26:05,560 --> 00:26:07,520 Speaker 1: At least Biden tamped down on that. Remember what he 419 00:26:07,560 --> 00:26:11,560 Speaker 1: was smelling women's hair and oh yeah, fondling people practically 420 00:26:11,640 --> 00:26:14,439 Speaker 1: I forgot about that. Yeah, he seems to have tamped 421 00:26:14,440 --> 00:26:16,680 Speaker 1: that down in public anyway. He would bury his nose 422 00:26:18,080 --> 00:26:22,640 Speaker 1: ye young women. Yeah, girls, right, girls, he would sit there. 423 00:26:22,720 --> 00:26:24,159 Speaker 1: You just see the look on his face. It's just 424 00:26:25,600 --> 00:26:31,520 Speaker 1: very excited by the smell of a woman's hair. No, 425 00:26:32,400 --> 00:26:36,119 Speaker 1: I think because because both Camel's husband and Jill Biden 426 00:26:36,240 --> 00:26:40,080 Speaker 1: still have their faculties, so I would think they're bonding. 427 00:26:40,080 --> 00:26:43,159 Speaker 1: Then they're bonding, right because all the pressure and the 428 00:26:43,280 --> 00:26:47,399 Speaker 1: media attention, and they both had had careers, they both worked. 429 00:26:47,880 --> 00:26:49,920 Speaker 1: I don't know what they're doing now. But he was 430 00:26:49,960 --> 00:26:52,240 Speaker 1: a lawyer of some kind, right, Yeah, and maybe he 431 00:26:52,280 --> 00:26:55,439 Speaker 1: still is. But obviously his normal life is disrupted. Her 432 00:26:55,480 --> 00:26:58,480 Speaker 1: normal life is disrupted, and they got to deal with 433 00:26:58,480 --> 00:27:01,600 Speaker 1: with two crazy people coming home. All right, we're covering 434 00:27:01,680 --> 00:27:03,880 Speaker 1: up John and Ken caf I am six forty live 435 00:27:03,920 --> 00:27:06,720 Speaker 1: everywhere the iHeartRadio app. Yeah, we got room on the moistline. 436 00:27:06,760 --> 00:27:10,479 Speaker 1: So please drop a message for Friday's moistline. Play of calls, 437 00:27:11,440 --> 00:27:13,720 Speaker 1: you can use the iHeartRadio app, the microphone icon, or 438 00:27:13,720 --> 00:27:16,000 Speaker 1: call the toll free number one eight seven seven Moist 439 00:27:16,080 --> 00:27:20,520 Speaker 1: eighty six one eight seven seven six six four seven 440 00:27:20,560 --> 00:27:24,560 Speaker 1: eight eight six. We're just talking earlier this hour about 441 00:27:24,600 --> 00:27:27,800 Speaker 1: the really really low unemployment rate, which we kind of 442 00:27:27,800 --> 00:27:29,960 Speaker 1: doubt because it doesn't count people that came up looking 443 00:27:29,960 --> 00:27:33,440 Speaker 1: for work, not interested in work. So it's again in 444 00:27:33,440 --> 00:27:36,840 Speaker 1: this vein. Disney made a big announcement they're gonna they're 445 00:27:36,840 --> 00:27:40,720 Speaker 1: gonna fire seven thousand people trying to save five and 446 00:27:40,760 --> 00:27:44,680 Speaker 1: a half billion dollars in costs. Bob Eiger, of course, 447 00:27:44,760 --> 00:27:48,200 Speaker 1: has just returned to the company. Did an earnings call today, 448 00:27:48,240 --> 00:27:52,399 Speaker 1: and I guess he told everybody listening that we're like 449 00:27:52,520 --> 00:27:56,879 Speaker 1: this determined I was here. We're embarking on a significant transformation. 450 00:27:58,320 --> 00:28:01,000 Speaker 1: Wonder will maximize the potential of all world class creative 451 00:28:01,000 --> 00:28:05,480 Speaker 1: teams and are unparalleled brands and franchises. Apparently what hit 452 00:28:05,560 --> 00:28:09,520 Speaker 1: them was the streaming service. They lost two point four 453 00:28:09,560 --> 00:28:13,399 Speaker 1: million subscribers during the first quarter, even though they have 454 00:28:13,440 --> 00:28:16,000 Speaker 1: about one hundred and fifty two million people. How many 455 00:28:16,080 --> 00:28:20,280 Speaker 1: parents you think dropped them after all the woke nonsense hit. 456 00:28:21,920 --> 00:28:24,360 Speaker 1: Oh yeah, there was reports that they were putting out 457 00:28:24,600 --> 00:28:27,560 Speaker 1: They're putting out a lot of and they've been open 458 00:28:27,600 --> 00:28:29,600 Speaker 1: about it. Some of the executives that they wanted to 459 00:28:29,640 --> 00:28:34,359 Speaker 1: put all kinds of messages about queer sexuality, I think 460 00:28:34,480 --> 00:28:38,160 Speaker 1: is the way they described it, and also a lot 461 00:28:38,280 --> 00:28:42,720 Speaker 1: of a lot of racial stuff disguised as cartoons. In fact, 462 00:28:43,000 --> 00:28:45,960 Speaker 1: I was listening to a Fox today and they were 463 00:28:46,000 --> 00:28:48,640 Speaker 1: playing clips from some new show and it was all 464 00:28:49,040 --> 00:28:52,400 Speaker 1: clips to these characters, and it was like clearly indoctrination. 465 00:28:52,640 --> 00:28:56,800 Speaker 1: It was critical race theory stuff. And there's a bunch 466 00:28:56,800 --> 00:28:59,720 Speaker 1: of executives at Disney who feel that this is necessary 467 00:28:59,760 --> 00:29:02,440 Speaker 1: for the kids. But if your kids seven years old, 468 00:29:02,480 --> 00:29:04,520 Speaker 1: they're not going to really understand what this is about. 469 00:29:05,280 --> 00:29:07,680 Speaker 1: And there's been a lot of that in their in 470 00:29:07,720 --> 00:29:11,480 Speaker 1: their movies and stories, a lot of like lesbian scenes 471 00:29:11,520 --> 00:29:14,880 Speaker 1: and things, and a lot of parents have been really 472 00:29:14,920 --> 00:29:17,480 Speaker 1: outraged and said, well, we're just not now. We don't 473 00:29:17,480 --> 00:29:20,120 Speaker 1: trust Disney. Now, we don't know what we're getting when 474 00:29:20,120 --> 00:29:23,280 Speaker 1: we go watch one of their shows. And they lost 475 00:29:23,280 --> 00:29:28,160 Speaker 1: one point four million subscribers in the US, and apparently 476 00:29:28,160 --> 00:29:31,360 Speaker 1: they also lost a bot of decline. In India, they 477 00:29:31,360 --> 00:29:33,960 Speaker 1: have a product they're called Disney Plus hot Star where 478 00:29:33,960 --> 00:29:37,560 Speaker 1: they also saw a big drop off. But it makes 479 00:29:37,560 --> 00:29:40,240 Speaker 1: it sound like most of their problems. My problem with 480 00:29:40,280 --> 00:29:42,680 Speaker 1: the streaming services is man and we know this from 481 00:29:42,680 --> 00:29:46,280 Speaker 1: Netflix and others. They spend so much money up front 482 00:29:46,920 --> 00:29:49,720 Speaker 1: that of course they're seeing big losses. It could take 483 00:29:49,880 --> 00:29:54,760 Speaker 1: years to recover that because the production pieces are elaborate 484 00:29:54,800 --> 00:29:58,240 Speaker 1: and they hire big stars. Yeah, it's not like you're 485 00:29:58,240 --> 00:30:00,200 Speaker 1: putting a movie in the theater where you're charging well 486 00:30:00,240 --> 00:30:02,840 Speaker 1: twenty bucks a ticket. No, it's a streaming service where 487 00:30:02,880 --> 00:30:04,400 Speaker 1: I think Netflix right now it is like twenty bucks 488 00:30:04,440 --> 00:30:09,120 Speaker 1: a month. Yeah, and there's so much material out there now, 489 00:30:10,080 --> 00:30:12,560 Speaker 1: so many streaming channels. There's so many programs, and the 490 00:30:12,600 --> 00:30:16,440 Speaker 1: programs have so many episodes. It's it's it's a blot 491 00:30:16,520 --> 00:30:19,000 Speaker 1: of blur. Yeah, it really is a blur. I mean again, 492 00:30:19,040 --> 00:30:20,720 Speaker 1: I wait for people to tell me or I maybe 493 00:30:20,720 --> 00:30:22,760 Speaker 1: I'll read an article that the show might be interesting, 494 00:30:22,800 --> 00:30:25,120 Speaker 1: and then I read what it's about and decide whether 495 00:30:25,200 --> 00:30:26,760 Speaker 1: or not I want to invest any time in it. 496 00:30:26,840 --> 00:30:29,720 Speaker 1: But especially when you when you watch these series you 497 00:30:29,720 --> 00:30:31,520 Speaker 1: have there like twelve episodes can take you a while 498 00:30:31,600 --> 00:30:33,680 Speaker 1: unless you sit there and you have beards, which I 499 00:30:33,680 --> 00:30:37,239 Speaker 1: don't like doing. There's nothing more aggravating than turning on 500 00:30:37,760 --> 00:30:41,600 Speaker 1: the main screen and seeing that there's like four hundred choices. 501 00:30:41,840 --> 00:30:44,840 Speaker 1: I wish somebody would come up with a better way 502 00:30:44,880 --> 00:30:48,200 Speaker 1: to organize things. Right, Maybe there isn't or they would 503 00:30:48,200 --> 00:30:50,480 Speaker 1: have done it by now, but it's it's it's too much, 504 00:30:50,520 --> 00:30:52,520 Speaker 1: and I just turn it off and I go read something. 505 00:30:54,240 --> 00:30:56,160 Speaker 1: You're better off just reading. Yeah, I don't know if 506 00:30:56,160 --> 00:30:58,280 Speaker 1: you get too I don't really like watching things anyway. 507 00:30:58,400 --> 00:30:59,880 Speaker 1: I could see you've never had patience to watch a 508 00:31:00,040 --> 00:31:03,160 Speaker 1: movie or a TV show. No, I was like that 509 00:31:03,200 --> 00:31:06,400 Speaker 1: when I was a kid. Uh conways here, Hey, hey, No, 510 00:31:06,720 --> 00:31:09,160 Speaker 1: I'm like you though. I have to ask my wife 511 00:31:09,240 --> 00:31:12,200 Speaker 1: during the movie, like, hey, who's this guy again? Yeah, right, 512 00:31:12,440 --> 00:31:14,440 Speaker 1: who's that guy? That guy? And she goes, she goes, 513 00:31:14,520 --> 00:31:16,440 Speaker 1: no that she goes, that's Clark Kenn. I go, yeah, 514 00:31:16,440 --> 00:31:20,800 Speaker 1: but he looks like Superman. Well you've got other problems. 515 00:31:22,280 --> 00:31:25,240 Speaker 1: All right. We're talking about the NBA. The new champ 516 00:31:25,400 --> 00:31:30,280 Speaker 1: Lebron James. He is the new I guess record holder, right, 517 00:31:30,280 --> 00:31:33,120 Speaker 1: he holds the record for most points. Some controversy, some 518 00:31:33,240 --> 00:31:36,840 Speaker 1: controversy that Kareem Abdul Jabbar had to go to four 519 00:31:36,920 --> 00:31:39,360 Speaker 1: years of college. He couldn't come right out of high school. 520 00:31:39,720 --> 00:31:42,720 Speaker 1: That's rights, right, So, and he didn't have the three 521 00:31:42,760 --> 00:31:45,400 Speaker 1: point three pointer. Krem dual Jabar had one three pointer 522 00:31:45,560 --> 00:31:48,160 Speaker 1: right right? Did you see? Kareem did play more games 523 00:31:48,360 --> 00:31:51,400 Speaker 1: than you know. What's amazing is that is Kareem Abdul 524 00:31:51,480 --> 00:31:53,880 Speaker 1: Jabbar held the record for I don't know twenty five 525 00:31:53,960 --> 00:31:56,520 Speaker 1: thirty years whatever, the amount of years is forty years 526 00:31:57,160 --> 00:32:00,160 Speaker 1: and nineteen eighty four and when he retired, he had 527 00:32:00,160 --> 00:32:05,200 Speaker 1: one more three pointer than I did. And you weren't 528 00:32:05,240 --> 00:32:08,600 Speaker 1: mentioned last night, that's right. I saw the list of 529 00:32:08,720 --> 00:32:11,800 Speaker 1: three point leaders and you weren't there. I know, neither 530 00:32:11,880 --> 00:32:14,200 Speaker 1: us Ray Lopez though he was on the list of mentions, 531 00:32:14,240 --> 00:32:16,360 Speaker 1: and they didn't mentioned him with Ray that's right. Yeah, 532 00:32:16,400 --> 00:32:19,880 Speaker 1: it's one behind Kareems zero mentions. And also, and then 533 00:32:20,080 --> 00:32:23,520 Speaker 1: CVS is offering almost eleven billion dollars to buy oak 534 00:32:23,640 --> 00:32:26,360 Speaker 1: Street Health. They move into the primary healthcare. I think 535 00:32:26,360 --> 00:32:28,720 Speaker 1: it's gonna be eventually they're gonna be CVS hospitals and 536 00:32:28,800 --> 00:32:32,160 Speaker 1: CVS medical towers, and they're getting interesting. Yeah, I think 537 00:32:32,200 --> 00:32:35,200 Speaker 1: that's why they stopped selling cigarettes. Hard to sell cigarettes 538 00:32:35,200 --> 00:32:41,160 Speaker 1: in a hospital, although, look those that's where you're gonna 539 00:32:41,160 --> 00:32:43,480 Speaker 1: find the guys that really enjoy. Yeah, you know, we're 540 00:32:43,520 --> 00:32:47,360 Speaker 1: gonna watch them, right, they're already on their way out. Hell, 541 00:32:47,560 --> 00:32:49,040 Speaker 1: it's gonna be the most difficult thing in the world. 542 00:32:49,080 --> 00:32:51,160 Speaker 1: You're dying, you got lung cancer in the hospital, and 543 00:32:51,200 --> 00:32:55,720 Speaker 1: you can't have a cigarette. Man, Yeah, it's gonna be worse. 544 00:32:55,960 --> 00:33:01,920 Speaker 1: Give him a cigarette, Yeah, a beer, big Dog. Conway's next. 545 00:33:02,000 --> 00:33:05,680 Speaker 1: Let's Michael kersher Is the News Round live in the 546 00:33:05,720 --> 00:33:07,120 Speaker 1: twenty four hour Cafin Newsroom.