1 00:00:01,840 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:17,280 Speaker 2: Arm Strong and Getty and he Armstrong and Getty. 4 00:00:23,200 --> 00:00:27,360 Speaker 3: Cases of whooping cough spreading across the US, especially the Carolinas. 5 00:00:27,800 --> 00:00:31,120 Speaker 3: It's technically called protessis and it's a bacterial infection causing 6 00:00:31,120 --> 00:00:31,920 Speaker 3: severe coughing. 7 00:00:32,320 --> 00:00:33,440 Speaker 2: More than six. 8 00:00:33,280 --> 00:00:35,959 Speaker 3: Times as many whooping cough cases were reported last year 9 00:00:36,000 --> 00:00:38,519 Speaker 3: compared to twenty twenty three, according to the Centers for 10 00:00:38,600 --> 00:00:39,320 Speaker 3: Disease Control. 11 00:00:39,479 --> 00:00:41,400 Speaker 2: So first of all, it's quite contagious. 12 00:00:41,440 --> 00:00:44,839 Speaker 1: In very young children, as many as two thirds will 13 00:00:44,880 --> 00:00:46,440 Speaker 1: have periods where they stop breathing. 14 00:00:46,720 --> 00:00:49,440 Speaker 3: The rising cases comes as new data from the CDC 15 00:00:49,640 --> 00:00:52,400 Speaker 3: show a record number of children did not receive their 16 00:00:52,440 --> 00:00:54,360 Speaker 3: recommended vaccinations last school year. 17 00:00:54,680 --> 00:00:56,639 Speaker 1: They want to make it about vaccinations, But I got 18 00:00:56,720 --> 00:00:59,520 Speaker 1: vaccinated as a tiny child against whooping cough, and I 19 00:00:59,600 --> 00:01:03,160 Speaker 1: got it. If you'll remember whenever, that was six months ago, 20 00:01:03,520 --> 00:01:07,080 Speaker 1: worst thing I've ever had in my life outside of cancer. 21 00:01:07,560 --> 00:01:09,360 Speaker 1: And you don't want to get it. So ask your 22 00:01:09,400 --> 00:01:11,520 Speaker 1: doctor if you should get an update on your whooping cough, 23 00:01:11,720 --> 00:01:15,280 Speaker 1: because that is no disease you want to have goodness. 24 00:01:14,840 --> 00:01:20,759 Speaker 2: Sakes, I gotta go get the shot. Yeah, the booster. Anyway, 25 00:01:21,880 --> 00:01:23,880 Speaker 2: my house is a construction zone, and I think I'm 26 00:01:23,920 --> 00:01:27,920 Speaker 2: overdue for my titanous shot and I really ought to 27 00:01:27,959 --> 00:01:33,080 Speaker 2: get that completely. On related note, somewhat sportsy, I just 28 00:01:33,120 --> 00:01:36,399 Speaker 2: read that the college football season, whatever college sports is 29 00:01:36,480 --> 00:01:39,440 Speaker 2: at this point. Yeah, it's going to open in a 30 00:01:39,440 --> 00:01:43,399 Speaker 2: little less than a month in Texas, is number one 31 00:01:43,440 --> 00:01:48,080 Speaker 2: in the preseason Coaches Bowl. Holcome Horns. I remember it 32 00:01:48,120 --> 00:01:50,400 Speaker 2: was always the tradition among your bigger programs that their 33 00:01:50,440 --> 00:01:52,280 Speaker 2: first two or three games of the year would be 34 00:01:52,920 --> 00:01:54,720 Speaker 2: what my dad used to refer to as the powder 35 00:01:54,800 --> 00:01:59,360 Speaker 2: Puff Bowl, where they would go into Central Kansas Teachers 36 00:01:59,400 --> 00:02:02,560 Speaker 2: College and beat the but Jesus out of the poor lads, 37 00:02:03,200 --> 00:02:07,480 Speaker 2: you know, seventy four to three. But they would split 38 00:02:07,520 --> 00:02:09,919 Speaker 2: the revenue from the game, so the little Teachers College 39 00:02:09,960 --> 00:02:11,680 Speaker 2: would think, all right, what the heck, we got a 40 00:02:11,720 --> 00:02:14,320 Speaker 2: few grand out of it. But that was the tradition anyway. 41 00:02:14,360 --> 00:02:16,200 Speaker 2: But Texas, their first game of the year is going 42 00:02:16,280 --> 00:02:20,920 Speaker 2: to be against number two Ohio State. Wow. Yeah, so 43 00:02:21,200 --> 00:02:24,120 Speaker 2: a different philosophy there. I want don't find out how 44 00:02:24,160 --> 00:02:26,560 Speaker 2: good we are? Yeah, so that's exciting if you're into 45 00:02:26,760 --> 00:02:31,680 Speaker 2: college sports, whatever that is at this point. So again, 46 00:02:31,720 --> 00:02:34,760 Speaker 2: speaking sports, I found this intriguing. Jack and I have 47 00:02:34,800 --> 00:02:38,440 Speaker 2: both been following the Caitlin Clark story in the WNBA. 48 00:02:38,680 --> 00:02:43,480 Speaker 2: She is, you know, I've compared her to what Tiger 49 00:02:43,520 --> 00:02:46,280 Speaker 2: Woods did to golf, but it's much more than that. 50 00:02:47,200 --> 00:02:50,840 Speaker 2: As monumental as Tiger Wood, Tiger Woods isn't on the 51 00:02:50,880 --> 00:02:53,680 Speaker 2: Mount Rushmore of golf. You might be Mount Rushmore of 52 00:02:53,720 --> 00:02:56,120 Speaker 2: the modern game and all the money involved, but golf 53 00:02:56,160 --> 00:02:58,080 Speaker 2: alls in respect to the stars of the past. Golf 54 00:02:58,160 --> 00:03:01,760 Speaker 2: was already popular though, Oh yeah, yeah, Like I say, 55 00:03:01,800 --> 00:03:05,560 Speaker 2: I think Katelyn's that the NBA was not listen to 56 00:03:05,600 --> 00:03:10,640 Speaker 2: this for a second. Caitlin Clark's impact merchandise sales have 57 00:03:10,800 --> 00:03:16,680 Speaker 2: soared six hundred and one percent. Her team, the Indiana Fevers, 58 00:03:16,760 --> 00:03:20,959 Speaker 2: viewership jumped one hundred and seventy percent. The team's value 59 00:03:21,120 --> 00:03:26,840 Speaker 2: has tripled. Wow. League pass TV subscriptions of climb three 60 00:03:26,960 --> 00:03:30,080 Speaker 2: hundred and sixty six percent since she joined the league 61 00:03:30,160 --> 00:03:33,960 Speaker 2: last year. App Engagement is up six hundred and thirteen percent. 62 00:03:34,480 --> 00:03:39,320 Speaker 2: Her endorsements of top to eleven million dollars. Holy crap, 63 00:03:39,360 --> 00:03:41,800 Speaker 2: I was trying to find my quote from ice Cube. 64 00:03:41,800 --> 00:03:44,080 Speaker 2: Do you remember wrapper ice Cube? 65 00:03:45,040 --> 00:03:45,160 Speaker 4: Uh. 66 00:03:45,720 --> 00:03:48,000 Speaker 1: He had offered her, I think three million dollars to 67 00:03:48,000 --> 00:03:50,040 Speaker 1: play in this three x three league that he was 68 00:03:50,040 --> 00:03:52,480 Speaker 1: trying to start, and she decided to go into the 69 00:03:52,600 --> 00:03:57,360 Speaker 1: wa any w NBA anyway, And he was asked why 70 00:03:57,400 --> 00:04:03,720 Speaker 1: he didn't offer, you know, big money to what's her 71 00:04:03,800 --> 00:04:09,600 Speaker 1: rival's name, Reese Angela Reese, and he said, they're they're 72 00:04:09,840 --> 00:04:15,480 Speaker 1: in different Caitlin Clark's in a completely different stratosphere than Reese. 73 00:04:15,480 --> 00:04:17,440 Speaker 1: I mean, they're not even close to the same thing, 74 00:04:18,600 --> 00:04:21,920 Speaker 1: he said, as a you know, from the hood black 75 00:04:21,960 --> 00:04:25,560 Speaker 1: rapper who's always standing up for you know, the black community. 76 00:04:26,640 --> 00:04:29,000 Speaker 1: As a businessman, he said, they're not even close to 77 00:04:29,080 --> 00:04:29,880 Speaker 1: the same thing. 78 00:04:30,320 --> 00:04:33,920 Speaker 2: Right right. So with that as the backdrop, I saw 79 00:04:34,000 --> 00:04:39,640 Speaker 2: with interest this piece by Sean McClain, who is you know, 80 00:04:39,960 --> 00:04:44,440 Speaker 2: he's actually got a history working for Ted Cruz and 81 00:04:44,560 --> 00:04:49,719 Speaker 2: Marsha Blackburn at Tennessee thinker, lobbyist, lawyer, et cetera. But anyway, 82 00:04:50,839 --> 00:04:54,080 Speaker 2: his headline is the w NBA and Caitlin Clark's civil rights. 83 00:04:54,080 --> 00:04:57,159 Speaker 2: If the league won't act to protect its superstar from 84 00:04:57,160 --> 00:05:01,640 Speaker 2: a hostile work environment, the government should do so, and 85 00:05:01,720 --> 00:05:04,680 Speaker 2: he talks about in spite of her being the economic 86 00:05:04,720 --> 00:05:09,360 Speaker 2: engine of the entire league, now she routinely faces intentional hits, 87 00:05:09,720 --> 00:05:15,840 Speaker 2: excessive fouling, uncalled abuse while referees look away. Quotes one 88 00:05:15,880 --> 00:05:21,600 Speaker 2: of her teammates and Caitlin Clark herself about how she 89 00:05:21,640 --> 00:05:23,200 Speaker 2: gets the hell beat out of her in a way 90 00:05:23,240 --> 00:05:25,800 Speaker 2: nobody else does in the league and the refs look 91 00:05:25,839 --> 00:05:28,200 Speaker 2: the other way. Did the players get away with it? 92 00:05:28,279 --> 00:05:31,760 Speaker 2: Why would the refs look the other way? I don't know. 93 00:05:32,440 --> 00:05:36,280 Speaker 1: I get the players situation. I don't get the ref situation, well, 94 00:05:36,320 --> 00:05:39,080 Speaker 1: even the player situation. As Shaq and Charles Barklay and 95 00:05:39,080 --> 00:05:42,000 Speaker 1: as the others have said, what are you doing? This 96 00:05:42,120 --> 00:05:44,960 Speaker 1: is the best thing that has ever happened to you. 97 00:05:45,040 --> 00:05:47,839 Speaker 2: Well, here's where we're going. Is it because ms Clark 98 00:05:47,920 --> 00:05:51,760 Speaker 2: is white? A Jah Wilson of the Las Vegas Aces, 99 00:05:51,880 --> 00:05:55,880 Speaker 2: three time league MVP thinks. So she said that race 100 00:05:55,960 --> 00:05:58,200 Speaker 2: is a huge thing and that it boils my blood 101 00:05:58,240 --> 00:06:01,440 Speaker 2: when people say it's not about race, because it is. Wow, 102 00:06:01,600 --> 00:06:04,039 Speaker 2: she said, as a black woman. Under civil rights law, 103 00:06:04,160 --> 00:06:09,479 Speaker 2: race motivated patterns trigger scrutiny even without explicit discriminatory intent. 104 00:06:10,760 --> 00:06:14,880 Speaker 2: And then he goes into missed calls include viral replays 105 00:06:14,880 --> 00:06:18,400 Speaker 2: of miss Clark being fouled multiple times in a single possession. 106 00:06:18,760 --> 00:06:21,640 Speaker 2: Analyst Rebecca Lobo said, every single one of those is 107 00:06:21,680 --> 00:06:27,200 Speaker 2: a foul. Miss Clark absorbed seventeen percent of the flagrant 108 00:06:27,240 --> 00:06:31,400 Speaker 2: fouls in the league wow last year. That is something 109 00:06:31,680 --> 00:06:35,400 Speaker 2: the double the rate of anybody else who was flagrantly foul. 110 00:06:35,480 --> 00:06:36,320 Speaker 2: And they're claiming. 111 00:06:36,440 --> 00:06:38,800 Speaker 1: The claim there is by people who know what they're 112 00:06:38,839 --> 00:06:41,600 Speaker 1: talking about, that she gets hard fouled a lot when 113 00:06:41,600 --> 00:06:44,359 Speaker 1: they don't call it. So of the ones she called 114 00:06:44,560 --> 00:06:47,440 Speaker 1: by one player, she took seventeen percent. That's unbelievable. 115 00:06:48,120 --> 00:06:50,679 Speaker 2: So this guy and we're not into like the excessive 116 00:06:50,760 --> 00:06:52,960 Speaker 2: lawsuits and that sort of thing around here. What we'd 117 00:06:52,960 --> 00:06:56,600 Speaker 2: like to do is dismantle a lot of the DEI garbage. 118 00:06:56,640 --> 00:07:00,000 Speaker 2: But he writes the league has fostered a hostile work 119 00:07:00,040 --> 00:07:03,479 Speaker 2: place for ms Clark through excessive fouling, targeting, and hostile 120 00:07:03,480 --> 00:07:07,040 Speaker 2: comments from other players and owners. These are not isolated, 121 00:07:07,080 --> 00:07:10,800 Speaker 2: they're documented, continued, and ignored by officials. The disparity in 122 00:07:10,840 --> 00:07:14,440 Speaker 2: treatment invites real scrutiny. Not a single player has been 123 00:07:14,440 --> 00:07:19,800 Speaker 2: suspended for flagrantly fouling miss Clark. That's pretty interesting, and 124 00:07:19,880 --> 00:07:24,280 Speaker 2: he points out that, uh that professional sports are multi 125 00:07:24,320 --> 00:07:26,840 Speaker 2: billion dollar industries and they're subject to the same civil rights, 126 00:07:26,920 --> 00:07:29,240 Speaker 2: antitrust and labor laws as anybody else. 127 00:07:29,600 --> 00:07:30,000 Speaker 4: Wow. 128 00:07:31,440 --> 00:07:35,560 Speaker 1: Yeah, I've never thought about this either, because this seems 129 00:07:35,600 --> 00:07:37,720 Speaker 1: like a unnecessary remedy. 130 00:07:37,760 --> 00:07:40,280 Speaker 2: But if you've got it, have given her money and 131 00:07:40,600 --> 00:07:42,560 Speaker 2: power and popularity and everything, I get it. 132 00:07:42,600 --> 00:07:45,240 Speaker 1: But if you've got a white employee of a business 133 00:07:46,120 --> 00:07:48,800 Speaker 1: who's getting the hell beat out of them because of 134 00:07:48,880 --> 00:07:51,080 Speaker 1: their race, that seems like a thing. 135 00:07:52,360 --> 00:07:55,800 Speaker 2: Yeah you see. Oh, Yukon Hall of Fame coach Gino 136 00:07:55,880 --> 00:07:59,720 Speaker 2: ari Ema says Miss Clark's treatment isn't merely rookie hazen quote. 137 00:07:59,760 --> 00:08:02,360 Speaker 2: She's also being targeted. I don't remember when Michael Jordan 138 00:08:02,440 --> 00:08:04,480 Speaker 2: came into the NBA guys looking to go out and 139 00:08:04,520 --> 00:08:06,600 Speaker 2: beat him up. Of course, everybody got beat up in 140 00:08:06,680 --> 00:08:09,920 Speaker 2: the NBA at that point. And then they get into 141 00:08:09,920 --> 00:08:13,040 Speaker 2: the Supreme Court rulings that it doesn't need to be deliberate. 142 00:08:13,520 --> 00:08:19,400 Speaker 2: It's just letting employees get more favorable treatment than peers 143 00:08:19,480 --> 00:08:23,720 Speaker 2: due to race. The shifts the burden of the employer 144 00:08:23,760 --> 00:08:27,320 Speaker 2: to prove non discriminatory motives anyway, she won't do it, 145 00:08:27,400 --> 00:08:28,560 Speaker 2: but it's an interesting thow. 146 00:08:28,680 --> 00:08:31,640 Speaker 1: I'm just surprised that there aren't more of the athletes 147 00:08:31,760 --> 00:08:34,480 Speaker 1: or they haven't come to the conclusion like Shack and 148 00:08:34,559 --> 00:08:38,520 Speaker 1: Charles Barkley have said, you know, you want to beat her, 149 00:08:38,520 --> 00:08:41,280 Speaker 1: you're competitive and all that sort of stuff. But good lord, 150 00:08:42,120 --> 00:08:45,800 Speaker 1: let her bring in the ratings, so all of a sudden, 151 00:08:45,800 --> 00:08:49,839 Speaker 1: you're relevant and your league might actually have a shot. 152 00:08:49,840 --> 00:08:55,360 Speaker 2: I'm making money right. Two things. She is also in 153 00:08:55,960 --> 00:08:59,719 Speaker 2: a smallest group of straight players. How big a role 154 00:08:59,800 --> 00:09:04,719 Speaker 2: that I really don't But much more importantly, the WNBA 155 00:09:04,800 --> 00:09:07,720 Speaker 2: players of today, unlike Shaq and Charles Barklay, for instance, 156 00:09:07,880 --> 00:09:11,800 Speaker 2: they are of the generation that has been schooled on 157 00:09:11,960 --> 00:09:15,839 Speaker 2: systemic racism and DEI and the rest of it. They 158 00:09:15,960 --> 00:09:19,160 Speaker 2: believe that stuff. They're taught at their entire school careers, 159 00:09:19,480 --> 00:09:24,840 Speaker 2: so they see nothing but racism in Caitlin Clark's popularity. 160 00:09:25,360 --> 00:09:27,160 Speaker 2: I want to take it out on her head. 161 00:09:27,400 --> 00:09:31,720 Speaker 1: She's the all time leading scorer men or women in 162 00:09:31,800 --> 00:09:33,319 Speaker 1: all of college basketball. 163 00:09:33,400 --> 00:09:37,920 Speaker 2: Now people just like her because she's white. I know, 164 00:09:38,200 --> 00:09:42,480 Speaker 2: it's insane. It is It is ideological blindness that borders 165 00:09:42,480 --> 00:09:46,280 Speaker 2: on mental illness. Yeah, i'd say, and to your own detriment. 166 00:09:46,600 --> 00:09:49,880 Speaker 1: I know, sometimes it's bad just because it's immoral, but 167 00:09:50,000 --> 00:09:54,800 Speaker 1: when it's actually hurting your salary, that's nuts. Well right, 168 00:09:54,880 --> 00:09:57,240 Speaker 1: in fact, that might be like the key to the 169 00:09:57,360 --> 00:10:01,080 Speaker 1: diagnosis of mental illness is doctor Savage used to say, 170 00:10:01,400 --> 00:10:06,240 Speaker 1: liberalism is a mental disorder. If I'm so racially resentful, 171 00:10:06,760 --> 00:10:11,040 Speaker 1: I pretend that her popularity isn't that she's an incredibly 172 00:10:11,559 --> 00:10:12,360 Speaker 1: exciting player. 173 00:10:12,640 --> 00:10:16,080 Speaker 2: Okay, all right, I'm kind of off kilter. But if 174 00:10:16,120 --> 00:10:19,679 Speaker 2: I do it to my own detriment and that of 175 00:10:19,720 --> 00:10:22,400 Speaker 2: my employer and my league and everything, that's when you're 176 00:10:22,400 --> 00:10:23,600 Speaker 2: into looney Tunesville. 177 00:10:25,320 --> 00:10:26,959 Speaker 1: So I've had this chart for a while that I 178 00:10:27,000 --> 00:10:29,600 Speaker 1: came across a couple of weeks ago about hunger and 179 00:10:29,800 --> 00:10:32,440 Speaker 1: what it costs to eat in America. And I saw 180 00:10:32,480 --> 00:10:35,720 Speaker 1: that dang TV commercial over the weekend again that PSA, 181 00:10:35,880 --> 00:10:39,000 Speaker 1: it's heartbreaking. If it were real, I don't think it's 182 00:10:39,080 --> 00:10:41,959 Speaker 1: real outside of like two cases in the whole country. 183 00:10:42,080 --> 00:10:44,480 Speaker 1: Have you seen that ad where looks like a middle 184 00:10:44,480 --> 00:10:47,440 Speaker 1: class dad is sitting there with this kid having dinner, 185 00:10:48,600 --> 00:10:51,600 Speaker 1: clearly a single dad, because there's nobody else around. And 186 00:10:51,679 --> 00:10:52,839 Speaker 1: kid says are you not gonna eat? 187 00:10:52,880 --> 00:10:53,120 Speaker 5: Dad? 188 00:10:53,520 --> 00:10:57,080 Speaker 1: Dad says, I'm not hungry. Hunger is a real thing, 189 00:10:57,200 --> 00:10:59,600 Speaker 1: So he's going hungry so his child can eat. That 190 00:10:59,640 --> 00:11:02,400 Speaker 1: ain't happening, people, is not happening now, Why do we 191 00:11:02,480 --> 00:11:04,800 Speaker 1: keep pretending that it is. It's good news that it 192 00:11:04,800 --> 00:11:07,080 Speaker 1: doesn't happen anyway. I've got a chart about that, among 193 00:11:07,120 --> 00:11:07,520 Speaker 1: other things. 194 00:11:07,520 --> 00:11:08,200 Speaker 2: On the waystare. 195 00:11:12,080 --> 00:11:14,439 Speaker 1: Oh my gosh, you were out of the room, Joe. 196 00:11:14,480 --> 00:11:19,079 Speaker 1: I just met Michelle's daughter, salesperson. Michelle. We've known forever, 197 00:11:19,600 --> 00:11:21,800 Speaker 1: back when she was single and dating and trying to 198 00:11:21,800 --> 00:11:23,800 Speaker 1: find a guy. Now she's been married for years and 199 00:11:24,080 --> 00:11:26,480 Speaker 1: she brings her daughter. It's so interesting when you meet 200 00:11:26,520 --> 00:11:30,600 Speaker 1: people in that completely different role of parent. 201 00:11:31,320 --> 00:11:34,280 Speaker 2: It's just oh, it's so fantastic. Her cute little girl. 202 00:11:34,400 --> 00:11:38,280 Speaker 2: Oh I love that. Yeah, beautiful. That's just just just awesome. 203 00:11:40,840 --> 00:11:43,800 Speaker 2: This is not awesome. In New York. 204 00:11:44,480 --> 00:11:47,480 Speaker 1: It looks like there's a decent chance they're gonna elect 205 00:11:47,520 --> 00:11:51,960 Speaker 1: a communist, which is so crazy. It's good for Republicans. 206 00:11:52,520 --> 00:11:55,000 Speaker 2: I think he's a communist and that you hate her, Jack, 207 00:11:55,600 --> 00:11:58,040 Speaker 2: I think overall it would be good for America. 208 00:11:58,840 --> 00:12:01,200 Speaker 1: It's not overall gonna be good for New York. But overall, 209 00:12:01,200 --> 00:12:03,120 Speaker 1: I think it'd be good for America. Your whole thing 210 00:12:03,160 --> 00:12:06,960 Speaker 1: of the best way to discredit these ideas is to 211 00:12:07,080 --> 00:12:09,600 Speaker 1: enact them, right, So go ahead, give it a shot. 212 00:12:09,640 --> 00:12:12,960 Speaker 1: But this is kind of interesting. We just came across this. 213 00:12:12,960 --> 00:12:17,400 Speaker 1: This is new stuff. This is a group called the 214 00:12:17,400 --> 00:12:21,400 Speaker 1: Democratic Socialists of America that we're having their meeting. I 215 00:12:21,400 --> 00:12:25,200 Speaker 1: guess the other day their big bumper sticker behind them 216 00:12:25,280 --> 00:12:28,040 Speaker 1: or they're slogan behind them socialism twenty twenty five. 217 00:12:28,520 --> 00:12:30,040 Speaker 2: When will this idea die? 218 00:12:30,120 --> 00:12:32,280 Speaker 1: How many times does it need to be tried and 219 00:12:32,400 --> 00:12:35,160 Speaker 1: fail and often kill millions of people. 220 00:12:35,080 --> 00:12:37,040 Speaker 2: Before people keep thinking it's a good idea? 221 00:12:37,600 --> 00:12:41,680 Speaker 1: Anyway, it's amazing Democratic Socialists of America and they're talking 222 00:12:41,679 --> 00:12:45,920 Speaker 1: about mum Dami becoming New York and why they back him. 223 00:12:46,320 --> 00:12:49,080 Speaker 1: By the way, they're all sitting there at their tables 224 00:12:49,120 --> 00:12:51,840 Speaker 1: at their conference wearing COVID masks. 225 00:12:52,760 --> 00:12:56,880 Speaker 2: This is like days ago. What the hell the hell 226 00:12:56,920 --> 00:12:57,440 Speaker 2: are you doing? 227 00:12:57,520 --> 00:13:00,880 Speaker 1: And what is it with lefty politics that goes with 228 00:13:01,040 --> 00:13:02,040 Speaker 1: COVID paranoia? 229 00:13:02,559 --> 00:13:06,240 Speaker 2: What is that? Somebody needs to study that and fully understand. Interesting, 230 00:13:06,640 --> 00:13:10,040 Speaker 2: it's like a cosplay thing or something. But why the mask? 231 00:13:10,440 --> 00:13:11,960 Speaker 2: I don't know. I know a few people that still 232 00:13:11,960 --> 00:13:14,920 Speaker 2: do it, and they're super lefties. The further left you are, 233 00:13:14,960 --> 00:13:17,560 Speaker 2: the more likely you are to have a mask on why. 234 00:13:18,440 --> 00:13:21,520 Speaker 1: I remember isn't when it was just Trump is anti mask, 235 00:13:21,840 --> 00:13:23,520 Speaker 1: But that's not it anymore. 236 00:13:23,679 --> 00:13:26,640 Speaker 2: I think it is just they like being under threat. 237 00:13:27,160 --> 00:13:29,520 Speaker 2: That motivates them, and it makes them feel good that 238 00:13:29,600 --> 00:13:31,960 Speaker 2: they are scared, so they can all be scared together 239 00:13:32,280 --> 00:13:33,199 Speaker 2: and banned together. 240 00:13:33,400 --> 00:13:37,680 Speaker 1: Yeah, it is something like that anyway. Here's a little 241 00:13:37,720 --> 00:13:40,439 Speaker 1: clip of the Democratic Socialist of America talking about their 242 00:13:41,280 --> 00:13:45,280 Speaker 1: hopeful hero mayor Mumdani Dude Zorn. 243 00:13:45,040 --> 00:13:48,640 Speaker 4: Is literally attempting to do what conservatives say, you know 244 00:13:49,320 --> 00:13:51,000 Speaker 4: we want to do, which is provide gender. 245 00:13:51,120 --> 00:13:52,040 Speaker 2: Her name's Carting and with. 246 00:13:52,080 --> 00:13:53,320 Speaker 4: The laws that you're free and we're we're going to 247 00:13:53,360 --> 00:13:55,160 Speaker 4: find people in the case for their potomas. We're going 248 00:13:55,200 --> 00:13:57,560 Speaker 4: to do all of the late Fox News stuff like 249 00:13:57,720 --> 00:13:59,120 Speaker 4: we're getting ideas for conx news. 250 00:13:59,120 --> 00:14:01,880 Speaker 6: I want to I don't do that. 251 00:14:02,200 --> 00:14:05,920 Speaker 4: But most importantly, as we collaborated with his Rammdani campaign 252 00:14:06,320 --> 00:14:10,360 Speaker 4: on his trans rights platform, and what we explicitly wanted 253 00:14:10,360 --> 00:14:12,679 Speaker 4: to do was use the power of New York City 254 00:14:13,120 --> 00:14:16,199 Speaker 4: to provide free gender affirming care, and I say free. 255 00:14:16,679 --> 00:14:18,920 Speaker 4: In case of turns, companies decide to foot us off 256 00:14:19,640 --> 00:14:21,840 Speaker 4: free gender affirming care, not just the people in New 257 00:14:21,880 --> 00:14:24,680 Speaker 4: York City, but across the country. 258 00:14:24,800 --> 00:14:29,200 Speaker 1: So they're backing Mam Dami's promise if he's mayor, and 259 00:14:29,480 --> 00:14:31,040 Speaker 1: a lot of this stuff he's promising, I don't know 260 00:14:31,040 --> 00:14:33,600 Speaker 1: how if he's got the power as mayor to do. 261 00:14:33,680 --> 00:14:35,920 Speaker 1: I don't know how politics works in New York or 262 00:14:35,920 --> 00:14:38,880 Speaker 1: what the rules are. Can the mayor significantly in this 263 00:14:38,920 --> 00:14:41,680 Speaker 1: one the budget? Well right, yeah, yeah, that's what I mean, 264 00:14:41,720 --> 00:14:44,200 Speaker 1: all the money. Can the mayor of New York privatize 265 00:14:44,520 --> 00:14:47,880 Speaker 1: grocery stores? Can the Mayor of New York decide somebody's 266 00:14:47,960 --> 00:14:51,800 Speaker 1: paying for but anyway, it's just directionally the fact that 267 00:14:51,840 --> 00:14:57,440 Speaker 1: they are for free sex changes for children and anyone 268 00:14:57,480 --> 00:15:02,320 Speaker 1: else paid for by the tack, even if. 269 00:15:02,200 --> 00:15:05,800 Speaker 2: You're not from New York. Make it some sort of 270 00:15:05,960 --> 00:15:10,080 Speaker 2: mecha of confused people getting sex changes that will ruin 271 00:15:10,120 --> 00:15:10,600 Speaker 2: their lives. 272 00:15:10,840 --> 00:15:15,160 Speaker 1: Nice platform, And they take down their masks when they talk, 273 00:15:15,200 --> 00:15:17,200 Speaker 1: so they're wearing their COVID masks. They pull them down 274 00:15:17,200 --> 00:15:20,160 Speaker 1: when they talk. When you're expelling the most air and 275 00:15:21,000 --> 00:15:24,040 Speaker 1: COVID if you haven't bit then put the mask back up. Okay, 276 00:15:24,080 --> 00:15:25,600 Speaker 1: and the mask don't do much anyway. I don't know 277 00:15:25,600 --> 00:15:28,480 Speaker 1: if you've read about that. Yeah, that came up once 278 00:15:28,560 --> 00:15:31,280 Speaker 1: or twice, Okay, And then I wanted to hit this 279 00:15:31,320 --> 00:15:33,280 Speaker 1: because it kind of fits in with the whole socialism thing. 280 00:15:34,560 --> 00:15:36,520 Speaker 1: Free market does a pretty good job of doing all 281 00:15:36,600 --> 00:15:39,960 Speaker 1: kinds of different stuff. In all of human history, it's 282 00:15:40,040 --> 00:15:43,200 Speaker 1: never been easier to feed yourself than at this very moment, 283 00:15:43,400 --> 00:15:47,000 Speaker 1: at least in terms of time and money that you 284 00:15:47,080 --> 00:15:50,800 Speaker 1: need to spend to feed yourself. As recently as nineteen fifty, 285 00:15:52,680 --> 00:15:55,280 Speaker 1: the average person in America spent about a quarter of 286 00:15:55,320 --> 00:15:59,360 Speaker 1: their budget on food. As recently as nineteen fifty, a 287 00:15:59,480 --> 00:16:01,720 Speaker 1: quarter of if your budget was on food to feed 288 00:16:01,760 --> 00:16:05,320 Speaker 1: yourself and your family. Now it's down to about seven 289 00:16:05,440 --> 00:16:11,680 Speaker 1: percent of what you need to share of your home 290 00:16:11,760 --> 00:16:16,280 Speaker 1: consumption dollars to feed yourself cut by almost three quarters. 291 00:16:16,280 --> 00:16:19,880 Speaker 1: That's amazing. How do we still have PSA's running on 292 00:16:19,920 --> 00:16:23,680 Speaker 1: the radio about hunger in America? Combine you combine that 293 00:16:23,800 --> 00:16:26,720 Speaker 1: with all the programs that we've got for food. If 294 00:16:26,760 --> 00:16:30,680 Speaker 1: you are hungry, what do we do? So we pretend 295 00:16:30,720 --> 00:16:33,600 Speaker 1: all these different things, what helps which helps drive these 296 00:16:33,640 --> 00:16:37,640 Speaker 1: socialist nut jobs. They're crying themselves to sleep at night 297 00:16:37,640 --> 00:16:39,320 Speaker 1: with the idea that there's all kinds of people that 298 00:16:39,360 --> 00:16:41,360 Speaker 1: are going to bed hungry, which is. 299 00:16:41,640 --> 00:16:45,120 Speaker 2: True big government and those that support it and want, 300 00:16:45,360 --> 00:16:48,880 Speaker 2: you know, socialism for instance, they've got to constantly invent 301 00:16:49,360 --> 00:16:52,680 Speaker 2: reasons for the government to seize more power and seize 302 00:16:52,680 --> 00:16:56,000 Speaker 2: more money. That's a good one. Children are starving. Therefore, 303 00:16:56,080 --> 00:16:59,920 Speaker 2: dot dot dot, it's just the same old thing. 304 00:17:00,400 --> 00:17:05,240 Speaker 1: So Trump fired the lady that runs the Department of 305 00:17:05,359 --> 00:17:09,840 Speaker 1: Bureau of Labor thingy. What's that all about labor statistics? Yes, 306 00:17:10,000 --> 00:17:12,200 Speaker 1: that's good stuff right there. Why did he fire her? 307 00:17:12,359 --> 00:17:15,520 Speaker 2: Well, we got an explanation. I think Armstrong and Geeddy. 308 00:17:16,880 --> 00:17:20,159 Speaker 7: Kamala Harris was on Colebert's show and told Steven that quote. 309 00:17:20,240 --> 00:17:23,000 Speaker 2: Growing up, she never wanted to be the president. 310 00:17:23,320 --> 00:17:30,959 Speaker 7: See kids, sometimes dreams do come true. Kamala says one 311 00:17:31,000 --> 00:17:33,200 Speaker 7: of her favorite quotes is from her mother, a quote 312 00:17:33,240 --> 00:17:36,480 Speaker 7: don't let people tell you who you are, Instead tell 313 00:17:36,520 --> 00:17:43,640 Speaker 7: them who you are. Her least favorite quote, by the way, 314 00:17:43,800 --> 00:17:44,560 Speaker 7: you're adopted. 315 00:17:48,600 --> 00:17:50,879 Speaker 1: Looking up at the TV. They're calling it the summer 316 00:17:50,920 --> 00:17:54,840 Speaker 1: of the tick. Have you heard that before? I was unaware. 317 00:17:54,960 --> 00:17:56,800 Speaker 1: That's the worst slogan I've ever heard. That's not too 318 00:17:56,840 --> 00:17:59,360 Speaker 1: like lure end tourists is it probably not gonna work. 319 00:17:59,680 --> 00:18:01,600 Speaker 2: It's not a good one. And this is a terrible 320 00:18:01,680 --> 00:18:03,040 Speaker 2: movie too. I'm not going to it. 321 00:18:03,320 --> 00:18:06,119 Speaker 1: A couple of things to mention before we get to 322 00:18:06,160 --> 00:18:10,119 Speaker 1: our main story. Do you see that this happened last week? 323 00:18:10,200 --> 00:18:12,960 Speaker 1: We didn't mention it, but apparently other inmates are now 324 00:18:13,040 --> 00:18:16,040 Speaker 1: unhappy about it. Glenne Maxwell, you all know who she is. 325 00:18:16,640 --> 00:18:21,280 Speaker 1: She got transferred to a much cushier prison last week. Yes, 326 00:18:22,960 --> 00:18:27,919 Speaker 1: her new prison piles are disgusted because this is the 327 00:18:27,920 --> 00:18:32,359 Speaker 1: story you've always heard that even criminals don't particularly like 328 00:18:32,400 --> 00:18:37,400 Speaker 1: people who pray on children. That she was quietly transferred 329 00:18:37,440 --> 00:18:40,320 Speaker 1: to the cushy prison camp known as Club Fed next week, 330 00:18:40,840 --> 00:18:43,040 Speaker 1: and looking at it from above, it looks like a 331 00:18:43,080 --> 00:18:44,800 Speaker 1: community college, not a prison. 332 00:18:45,440 --> 00:18:49,720 Speaker 2: There aren't even fences, right, Yeah, it's a minimum security 333 00:18:50,280 --> 00:18:55,160 Speaker 2: prison and sex offenders are almost never sent there. Why 334 00:18:55,200 --> 00:18:59,840 Speaker 2: did that happen? Because that was her negotiating point with 335 00:19:00,080 --> 00:19:02,479 Speaker 2: the h trumpet. Yeah, but what did somebody's saying it 336 00:19:02,480 --> 00:19:07,280 Speaker 2: out loud? What did she what did she give? Not 337 00:19:07,400 --> 00:19:11,000 Speaker 2: clear to me or anyone. She may have said, I'm 338 00:19:11,000 --> 00:19:13,640 Speaker 2: not even sitting down with you people unless you transfer 339 00:19:13,720 --> 00:19:16,439 Speaker 2: me to this prison. They said, yeah, okay, we'll make 340 00:19:16,480 --> 00:19:17,920 Speaker 2: it work. She said, all right, what do you want 341 00:19:17,920 --> 00:19:21,479 Speaker 2: to know? Okay? What? That sucks. 342 00:19:22,520 --> 00:19:28,600 Speaker 1: One other story, The New York Post is expanding to LA. 343 00:19:28,680 --> 00:19:30,600 Speaker 1: There's going to be an LA Post starting next year 344 00:19:30,640 --> 00:19:32,960 Speaker 1: in Los Angeles. Oh, they're going to have the West 345 00:19:33,000 --> 00:19:35,720 Speaker 1: Coast version of the show of the of the magazine 346 00:19:35,720 --> 00:19:38,800 Speaker 1: that because it's very New York. I mean there's national 347 00:19:38,840 --> 00:19:41,080 Speaker 1: news also, but it's a very New York newspaper. They're 348 00:19:41,080 --> 00:19:42,960 Speaker 1: going to do the same thing for LA. And LA 349 00:19:43,080 --> 00:19:46,399 Speaker 1: is lacking a newspaper. Really, the La Times is so 350 00:19:46,560 --> 00:19:51,239 Speaker 1: weak compared to other big city newspapers. No, that is 351 00:19:51,320 --> 00:19:52,120 Speaker 1: exciting for us. 352 00:19:52,200 --> 00:19:56,200 Speaker 2: Happy to hear that. Yeah, Trump, they said my boobs 353 00:19:56,200 --> 00:19:59,760 Speaker 2: were too big to be a Disneyland tour guide. Right 354 00:20:00,160 --> 00:20:01,520 Speaker 2: a headline you look forward. 355 00:20:01,320 --> 00:20:04,360 Speaker 1: To it, or shoheil Atani hits the fifth home run 356 00:20:04,600 --> 00:20:07,880 Speaker 1: in a row in a game some New West Coast 357 00:20:07,920 --> 00:20:11,880 Speaker 1: sports instead of always Yankees Red Sox. Come on, now, 358 00:20:12,720 --> 00:20:19,639 Speaker 1: I'm with you. Labor statistics don't compile themselves. It's not magic. 359 00:20:19,680 --> 00:20:21,840 Speaker 1: You gotta have a bureau. So you got a Bureau 360 00:20:21,880 --> 00:20:24,320 Speaker 1: of Labor Statistics, and the woman that ran it got 361 00:20:24,320 --> 00:20:25,080 Speaker 1: fired by Trump. 362 00:20:25,160 --> 00:20:26,960 Speaker 2: And here's his explanation for why. 363 00:20:29,640 --> 00:20:33,800 Speaker 8: We'll be announcing a new statistician sometime over the next 364 00:20:33,840 --> 00:20:34,680 Speaker 8: three four days. 365 00:20:35,720 --> 00:20:37,159 Speaker 2: We had no confidence. 366 00:20:37,200 --> 00:20:40,040 Speaker 8: I mean, the numbers were ridiculous what she announced, but 367 00:20:40,119 --> 00:20:43,080 Speaker 8: that was just one negative number. All the numbers seemed 368 00:20:43,080 --> 00:20:46,480 Speaker 8: to be great, and so we'll see how that comes out. 369 00:20:46,520 --> 00:20:50,399 Speaker 8: And if you remember, just before the election, this woman. 370 00:20:50,160 --> 00:20:58,000 Speaker 5: Came out with these phenomenal numbers on Biden's economy, phenomenal numbers, 371 00:20:58,800 --> 00:21:02,320 Speaker 5: and then right after the election they announced that those 372 00:21:02,400 --> 00:21:03,240 Speaker 5: numbers were wrong. 373 00:21:04,520 --> 00:21:07,640 Speaker 8: And that's what they did the other day. So it's 374 00:21:07,680 --> 00:21:09,000 Speaker 8: a scam in my opinion. 375 00:21:09,480 --> 00:21:12,800 Speaker 1: Yeah, I don't know why he had to present it 376 00:21:12,840 --> 00:21:16,400 Speaker 1: that way, because you're about to hear a different explanation 377 00:21:17,040 --> 00:21:20,520 Speaker 1: for why the Bureau Labor Statistics needs to be revamped 378 00:21:20,760 --> 00:21:22,679 Speaker 1: or come up with a new formula. Why he had 379 00:21:22,720 --> 00:21:25,680 Speaker 1: to present it as a like a conspiracy against him. 380 00:21:25,960 --> 00:21:27,800 Speaker 1: The Wall Street Journal has a whole bunch of quotes 381 00:21:27,840 --> 00:21:30,480 Speaker 1: of him saying good things about numbers when they're favorable, 382 00:21:31,040 --> 00:21:33,040 Speaker 1: which I don't think he can blame him for what 383 00:21:33,119 --> 00:21:35,080 Speaker 1: kind of politician would come out when you got really 384 00:21:35,080 --> 00:21:39,159 Speaker 1: good economic news and say I don't believe it. I 385 00:21:39,160 --> 00:21:41,480 Speaker 1: think it's much worse than that. So, I mean, that's 386 00:21:41,560 --> 00:21:42,719 Speaker 1: kind of an odd knock. 387 00:21:43,200 --> 00:21:46,679 Speaker 2: It was funny how he argued against his cases. He 388 00:21:46,800 --> 00:21:50,719 Speaker 2: was making it they had rosy numbers that they had 389 00:21:50,760 --> 00:21:55,280 Speaker 2: downgraded later, and now this time they had rosy numbers 390 00:21:55,320 --> 00:21:59,520 Speaker 2: that they downgraded later. You see the difference. All the 391 00:21:59,600 --> 00:22:01,920 Speaker 2: difference is it either straddled the election or it was 392 00:22:02,000 --> 00:22:02,760 Speaker 2: during his term. 393 00:22:03,760 --> 00:22:07,080 Speaker 1: Kevin Hassett's one of his financial gurus speaking for the 394 00:22:07,160 --> 00:22:10,560 Speaker 1: White House, got asked about it on Meet the Press yesterday, 395 00:22:10,560 --> 00:22:12,200 Speaker 1: and I thought his explanation was interesting. 396 00:22:12,720 --> 00:22:17,240 Speaker 9: What evidence does the administration have that she manipulated the 397 00:22:17,280 --> 00:22:18,000 Speaker 9: jobs numbers? 398 00:22:18,080 --> 00:22:18,320 Speaker 2: Right? 399 00:22:18,400 --> 00:22:21,280 Speaker 10: Well, what we've seen over the last few years is 400 00:22:21,920 --> 00:22:24,800 Speaker 10: massive revisions to the job numbers. In fact, they were 401 00:22:24,960 --> 00:22:27,760 Speaker 10: extremely reliable, the kind of numbers that you want to 402 00:22:27,920 --> 00:22:31,920 Speaker 10: guide policy decisions and markets through COVID. And then when 403 00:22:31,960 --> 00:22:35,120 Speaker 10: COVID happened, because response rates went down a lot, then 404 00:22:35,400 --> 00:22:39,879 Speaker 10: revision rates skyrocketed, so that the typical monthly revision often 405 00:22:40,040 --> 00:22:42,760 Speaker 10: was bigger than the number itself. And now we had 406 00:22:43,240 --> 00:22:45,840 Speaker 10: a number that just came out. The actual number for 407 00:22:45,840 --> 00:22:48,080 Speaker 10: the month wasn't so bad, but the two months before 408 00:22:48,560 --> 00:22:52,480 Speaker 10: were revised down by more than it ever happened since 409 00:22:52,560 --> 00:22:57,040 Speaker 10: nineteen sixty eight. And in twenty fifteen, Alan Greenspan and 410 00:22:57,040 --> 00:22:59,360 Speaker 10: I were asked to attend a conference at BLS where 411 00:22:59,359 --> 00:23:02,399 Speaker 10: we're asked to give advice about how to modernize the data, 412 00:23:02,800 --> 00:23:05,760 Speaker 10: and we warned that if they didn't try to let 413 00:23:05,760 --> 00:23:09,119 Speaker 10: the data collection and calculation keep up with the data 414 00:23:09,800 --> 00:23:12,040 Speaker 10: that was happening in the economy, that we would have 415 00:23:12,080 --> 00:23:12,760 Speaker 10: problems like this. 416 00:23:13,080 --> 00:23:16,920 Speaker 1: So that's a much calmer explanation in that the model 417 00:23:17,040 --> 00:23:21,680 Speaker 1: for how they do this has been so off now 418 00:23:21,760 --> 00:23:25,160 Speaker 1: ever since twenty twenty. For instance, in July they claimed 419 00:23:25,200 --> 00:23:28,080 Speaker 1: one hundred and forty four thousand jobs, then revised it 420 00:23:28,160 --> 00:23:32,320 Speaker 1: downward Friday to nineteen thousand. I mean, when your numbers 421 00:23:32,320 --> 00:23:35,560 Speaker 1: are that far off, what's the point of even doing it? 422 00:23:35,600 --> 00:23:37,840 Speaker 1: I mean, what sort of these numbers come out so 423 00:23:37,840 --> 00:23:41,680 Speaker 1: people can make decisions about raising or lowering interest rates 424 00:23:41,760 --> 00:23:43,960 Speaker 1: or investing in whatever, all kinds of differences. But if 425 00:23:43,960 --> 00:23:46,520 Speaker 1: they're that fall off far, if you can't make any decisions, 426 00:23:46,920 --> 00:23:50,000 Speaker 1: well no, it's foolish to even do the preliminary numbers. 427 00:23:50,040 --> 00:23:52,440 Speaker 2: What's the point? Yeah, I would agree. So if they're 428 00:23:52,480 --> 00:23:55,119 Speaker 2: talking about a complete reset because of you know the 429 00:23:55,160 --> 00:23:58,120 Speaker 2: difficulties of polling these days, the way they get these stats, 430 00:23:58,520 --> 00:24:00,720 Speaker 2: all right, great, but you know. 431 00:24:01,400 --> 00:24:06,320 Speaker 1: Trump claiming it's a Biden conspiracy, that doesn't help anything. 432 00:24:06,400 --> 00:24:08,879 Speaker 1: It's a fix, it's a scam. They're trying to screw me. 433 00:24:09,240 --> 00:24:11,280 Speaker 1: All right, Okay, all right. 434 00:24:11,680 --> 00:24:13,000 Speaker 2: But he does so. 435 00:24:13,080 --> 00:24:15,240 Speaker 1: Does he like the heat that he brings on himself 436 00:24:15,280 --> 00:24:17,720 Speaker 1: because he could have explained it this way. Look, the 437 00:24:18,320 --> 00:24:20,880 Speaker 1: way they formulate the numbers obviously doesn't work. Look look 438 00:24:20,920 --> 00:24:23,639 Speaker 1: at all these months that they downgraded so much that 439 00:24:23,680 --> 00:24:26,520 Speaker 1: it's well, listen to this next clip Besson talking about 440 00:24:26,560 --> 00:24:27,200 Speaker 1: it were. 441 00:24:27,080 --> 00:24:27,960 Speaker 2: The numbers wrong? 442 00:24:28,119 --> 00:24:31,080 Speaker 9: Do you have any hard evidence that you can present 443 00:24:31,119 --> 00:24:34,760 Speaker 9: to the American public that these numbers, these revisions that 444 00:24:34,920 --> 00:24:37,840 Speaker 9: were reported, and there were plenty of revisions under former 445 00:24:37,880 --> 00:24:40,600 Speaker 9: President Biden, including right before the election, do you have 446 00:24:40,720 --> 00:24:43,840 Speaker 9: any hard evidence that these numbers were wrong? 447 00:24:44,240 --> 00:24:47,200 Speaker 10: Yeah, there are is very hard evidence that we're looking 448 00:24:47,240 --> 00:24:51,399 Speaker 10: at the biggest reversion sink the number of self It 449 00:24:51,480 --> 00:24:52,080 Speaker 10: is the evidence. 450 00:24:52,119 --> 00:24:54,160 Speaker 9: But just saying it's an Outlier's not evidence. 451 00:24:54,960 --> 00:24:59,680 Speaker 10: It's a historically important outlier. It's something that's unprecedented, So unprecedented. 452 00:25:00,000 --> 00:25:02,280 Speaker 10: I have asked that forty years and I'm like, it 453 00:25:02,359 --> 00:25:04,080 Speaker 10: must be a typo, right. 454 00:25:05,080 --> 00:25:07,240 Speaker 1: She kept hammering on, though, what evidence do you have? 455 00:25:07,640 --> 00:25:11,200 Speaker 1: He says, The evidence is that they're so far off 456 00:25:11,920 --> 00:25:13,760 Speaker 1: that there's something. 457 00:25:13,480 --> 00:25:15,840 Speaker 2: Wrong, which makes sense to me. 458 00:25:16,640 --> 00:25:19,000 Speaker 1: She's looking for the evidence of what Trump said though, 459 00:25:19,040 --> 00:25:24,240 Speaker 1: that there's a conspiracy by Biden people are someone to 460 00:25:24,320 --> 00:25:25,280 Speaker 1: make him look bad. 461 00:25:25,400 --> 00:25:28,760 Speaker 2: That does not exist. It's the same old Trump era 462 00:25:28,880 --> 00:25:31,600 Speaker 2: dance we see over and over again. Trump shoots off 463 00:25:31,600 --> 00:25:35,239 Speaker 2: his mouth, says something unsupportable, his aids go out and 464 00:25:35,320 --> 00:25:38,879 Speaker 2: say something that kinda is sort of arguing in favor 465 00:25:38,880 --> 00:25:41,280 Speaker 2: of Trump, but really kind of a different point with 466 00:25:41,400 --> 00:25:45,200 Speaker 2: the same conclusion and doing so fairly effectively. The point 467 00:25:45,200 --> 00:25:48,760 Speaker 2: they're making overall about the labor statistics is a good one, sure, 468 00:25:48,840 --> 00:25:50,800 Speaker 2: But that's not what Trump said. That's not what he meant. 469 00:25:51,000 --> 00:25:52,840 Speaker 1: But so why did he do it? What do you 470 00:25:52,880 --> 00:25:57,280 Speaker 1: think he just likes utterly undisciplined. You don't think there's 471 00:25:57,320 --> 00:26:00,160 Speaker 1: a strategy. Maybe two and a half to mention. 472 00:26:00,320 --> 00:26:07,280 Speaker 2: Jess, uh, only that knee jerk constantly point out to 473 00:26:07,560 --> 00:26:12,920 Speaker 2: his fans how he's being attacked and screwed and a victim, which, 474 00:26:13,040 --> 00:26:15,080 Speaker 2: by the way, he was a lot for a very 475 00:26:15,119 --> 00:26:19,480 Speaker 2: long time. See Russia collusion hoax, See the Summer of 476 00:26:19,640 --> 00:26:23,960 Speaker 2: Law fair, see the entirety of the major media being 477 00:26:24,080 --> 00:26:28,320 Speaker 2: utterly unfair. So you know, I get it, Summer of 478 00:26:28,359 --> 00:26:32,240 Speaker 2: the tick. It would help me if Hassett and Bessent 479 00:26:32,640 --> 00:26:36,639 Speaker 2: didn't have such similar names, one being the Secretary of 480 00:26:36,840 --> 00:26:40,720 Speaker 2: Commerce and the other being the chairman of the Economic 481 00:26:40,760 --> 00:26:45,680 Speaker 2: Advisory Council. It's an excellent complaint their names are too similar. Yeah, 482 00:26:45,680 --> 00:26:48,120 Speaker 2: maybe they can be like an Angelina thing. We can 483 00:26:48,240 --> 00:26:52,879 Speaker 2: just hassebescent or something just to refer to them. But 484 00:26:52,960 --> 00:26:55,159 Speaker 2: they're both very very sharp guys, impressive. 485 00:26:55,600 --> 00:26:57,280 Speaker 1: Before we take a break, Maybe I'll get to this 486 00:26:57,359 --> 00:26:59,520 Speaker 1: on Wednesday, which will be the anniversary. Is that right, 487 00:26:59,560 --> 00:27:02,320 Speaker 1: the sixth of a eighty year anniversary of dropping the 488 00:27:02,440 --> 00:27:06,080 Speaker 1: atomic bomb? George F. Will with an opinion piece in 489 00:27:06,119 --> 00:27:09,880 Speaker 1: the Washington Post today, eighty years since Eroshima? How much 490 00:27:09,960 --> 00:27:10,639 Speaker 1: longer can. 491 00:27:10,520 --> 00:27:14,520 Speaker 2: The world's luck hold out? Ooh boy, ain't that the truth? 492 00:27:16,320 --> 00:27:22,719 Speaker 1: It's nobody nobody would have predicted. We go eighty years 493 00:27:23,200 --> 00:27:26,879 Speaker 1: without anybody using a nuclear weapon. 494 00:27:27,880 --> 00:27:31,720 Speaker 2: And as you've pointed out many times, those weapons to 495 00:27:31,840 --> 00:27:35,320 Speaker 2: the modern weapons are the same relationship as a a 496 00:27:35,520 --> 00:27:38,920 Speaker 2: pellet gun has to a cannon. Yeah. Yeah, and that's 497 00:27:38,960 --> 00:27:42,840 Speaker 2: the modern thermonuclear devices place make hiroshim wall look like, 498 00:27:43,160 --> 00:27:44,760 Speaker 2: you know, an unfortunate gas main. 499 00:27:44,760 --> 00:27:47,280 Speaker 1: Explosion, right and that. Yeah, that's another thing that people 500 00:27:47,320 --> 00:27:50,360 Speaker 1: don't recognize. So the weapons are so much more powerful. 501 00:27:50,400 --> 00:27:52,800 Speaker 1: Good lord. I have a lot on this. I've been 502 00:27:52,840 --> 00:27:57,200 Speaker 1: reading a lot about it. Uh, why we did it? 503 00:27:57,800 --> 00:28:00,479 Speaker 1: There's information, there's new information I didn't know that has 504 00:28:00,480 --> 00:28:05,440 Speaker 1: come out as recently as the nineties. I always talk 505 00:28:05,440 --> 00:28:07,320 Speaker 1: about when something happens, I said, well, I can't wait 506 00:28:07,800 --> 00:28:10,199 Speaker 1: twenty five years from now, fifty years from now, we'll 507 00:28:10,200 --> 00:28:12,719 Speaker 1: get the real story why this happened. Real story on 508 00:28:12,760 --> 00:28:14,800 Speaker 1: why we didn't why we use the bomb as opposed 509 00:28:14,840 --> 00:28:17,280 Speaker 1: to an invasion, didn't come out till the nineties. I'd 510 00:28:17,280 --> 00:28:20,000 Speaker 1: never heard this before, but we'll get into that later 511 00:28:20,040 --> 00:28:22,200 Speaker 1: this week. We'll finish strong next. 512 00:28:25,760 --> 00:28:31,800 Speaker 2: There's an old saying that progressives love humanity but they 513 00:28:31,840 --> 00:28:36,360 Speaker 2: hate people, and conservatives don't really like humanity, but they 514 00:28:36,480 --> 00:28:42,120 Speaker 2: like people. I'm definitely on that second tier, second group. 515 00:28:42,200 --> 00:28:45,360 Speaker 2: In that second group, I can't decide if this is 516 00:28:45,480 --> 00:28:48,160 Speaker 2: like one of these big meaningful stories or not. I'll 517 00:28:48,200 --> 00:28:51,600 Speaker 2: just read it to you like a mystery to the 518 00:28:51,720 --> 00:28:55,200 Speaker 2: untrained eye. There was nothing nefarious about the packages that 519 00:28:55,360 --> 00:29:00,560 Speaker 2: arrived at kemp Kenny Brook, containing a Harry Potter bookamponds, 520 00:29:00,640 --> 00:29:05,080 Speaker 2: and a flashlight. Oh what Stacy Landman knew better. All 521 00:29:05,200 --> 00:29:08,840 Speaker 2: of the items were vehicles used by parents to smuggle 522 00:29:08,920 --> 00:29:12,480 Speaker 2: food into the Monticello, New York camp she owns with 523 00:29:12,520 --> 00:29:16,160 Speaker 2: her family, something that's strictly forbidden since the contraband can 524 00:29:16,200 --> 00:29:20,240 Speaker 2: attract bugs and mice and cause allergic reactions. Sneaking food 525 00:29:20,400 --> 00:29:24,320 Speaker 2: outside food into camp summer camp is a tradition as 526 00:29:24,400 --> 00:29:28,479 Speaker 2: old as the Color War and canoeing. Generations of parents 527 00:29:28,480 --> 00:29:32,080 Speaker 2: and campers have rolled pringles tubes into towels, and stuffed 528 00:29:32,120 --> 00:29:36,440 Speaker 2: candy into tissue boxes and sliced open tennis balls. Campers 529 00:29:36,520 --> 00:29:40,120 Speaker 2: hide the goods in laundry bags, lock boxes in pillowcases. 530 00:29:40,960 --> 00:29:43,480 Speaker 2: One more a little bit before he discussed it got 531 00:29:43,560 --> 00:29:46,760 Speaker 2: so bad at Camp West Mountain, Pennsylvania's Pocono Mountains this 532 00:29:46,840 --> 00:29:49,920 Speaker 2: year that administrator's email parents on the second day of 533 00:29:49,960 --> 00:29:52,840 Speaker 2: camp about the shocking abundance of food found in bunks 534 00:29:53,040 --> 00:29:56,840 Speaker 2: that could lead to an infestation of mice and allegedly 535 00:29:56,880 --> 00:29:59,920 Speaker 2: allergic reactions to nuts, which I think is probably overrated 536 00:30:00,160 --> 00:30:04,560 Speaker 2: these days, but I guess it's like an endemic problem 537 00:30:04,560 --> 00:30:08,840 Speaker 2: at summer camps, the kids insisting that their parents send 538 00:30:08,840 --> 00:30:13,480 Speaker 2: them cookies and candy and chips, and the parents doing it, 539 00:30:13,840 --> 00:30:18,040 Speaker 2: including buying a Harry Potter book, hollowing it out and 540 00:30:18,120 --> 00:30:21,920 Speaker 2: filling it with candy, M and MS. Specifically, why would 541 00:30:21,920 --> 00:30:27,160 Speaker 2: you do this for your kid? See this? And my 542 00:30:27,640 --> 00:30:32,440 Speaker 2: family were law abiding generally speaking, but both my mom 543 00:30:32,520 --> 00:30:34,480 Speaker 2: and dad would have said, no, it's out of the question. 544 00:30:34,600 --> 00:30:38,320 Speaker 2: It's a reasonable policy they have for a good reason. No, 545 00:30:38,360 --> 00:30:41,120 Speaker 2: I'm not sending you anything or just the time and effort. 546 00:30:41,240 --> 00:30:44,080 Speaker 2: I got other things to do than spend an hour. 547 00:30:44,200 --> 00:30:47,120 Speaker 2: How long would it take to hollow out a book 548 00:30:47,200 --> 00:30:49,240 Speaker 2: to put candy? Why do you need candy? Fill it 549 00:30:49,240 --> 00:30:51,280 Speaker 2: with M and MS? Then then go down to the 550 00:30:51,280 --> 00:30:53,320 Speaker 2: post office and put it in a box and ship 551 00:30:53,320 --> 00:30:54,120 Speaker 2: it and the rest of it. 552 00:30:54,200 --> 00:30:55,719 Speaker 1: How about you go to camp and eat what they 553 00:30:55,720 --> 00:30:58,920 Speaker 1: give you and learn the last two weeks without pringles 554 00:30:58,920 --> 00:31:00,920 Speaker 1: you'll be fine and learn that a lot of life 555 00:31:00,960 --> 00:31:01,840 Speaker 1: is going to be like that. 556 00:31:02,280 --> 00:31:05,440 Speaker 2: It all sounds like stuff you would do in prison. Yeah, 557 00:31:05,560 --> 00:31:10,040 Speaker 2: I know, each generation devises something new. Sites like Amazon 558 00:31:10,080 --> 00:31:13,120 Speaker 2: and Etsy offer modern smugglers cheap and easy access to 559 00:31:13,520 --> 00:31:17,080 Speaker 2: hollowed out bottles of sunblock and hairspray that are meant 560 00:31:17,080 --> 00:31:20,880 Speaker 2: to keep valuable save. Blah blah blah. We're on to you, 561 00:31:20,920 --> 00:31:24,720 Speaker 2: say the camp counselors. Wow, that's funny, Mike. 562 00:31:24,760 --> 00:31:27,520 Speaker 1: So my son did two boy Scout camps in which 563 00:31:27,560 --> 00:31:32,160 Speaker 1: there were some complaints about the food from all the scouts. 564 00:31:34,720 --> 00:31:37,760 Speaker 1: But to me, it was like, you know, getting a 565 00:31:37,840 --> 00:31:39,680 Speaker 1: lesson in what I was just talking about, you know, 566 00:31:39,960 --> 00:31:42,960 Speaker 1: learning to get by on what they give you, right, 567 00:31:43,760 --> 00:31:44,200 Speaker 1: et cetera. 568 00:31:44,680 --> 00:31:45,000 Speaker 2: I didn't. 569 00:31:45,040 --> 00:31:49,640 Speaker 1: I felt no need whatsoever to feel a figure out 570 00:31:49,640 --> 00:31:52,360 Speaker 1: a way to sneak in pringles well. 571 00:31:52,240 --> 00:31:54,200 Speaker 2: Right, and you know, the food back in the day 572 00:31:54,200 --> 00:31:57,880 Speaker 2: at the old college dorm was not exactly or may right. 573 00:31:57,920 --> 00:32:01,040 Speaker 2: But it's fine, you dealt with it. Of passage, it's 574 00:32:01,080 --> 00:32:03,760 Speaker 2: an incentive to do better in life, I think, but 575 00:32:04,920 --> 00:32:05,479 Speaker 2: I am. 576 00:32:05,480 --> 00:32:09,360 Speaker 1: But if somebody else's well, I suppose you know, if 577 00:32:09,400 --> 00:32:11,280 Speaker 1: you send your kid without that stuff, and the other 578 00:32:11,360 --> 00:32:14,400 Speaker 1: kids are eating Pringles and M and m's. But I'm 579 00:32:14,440 --> 00:32:17,760 Speaker 1: more annoyed by the parents who know the rules are 580 00:32:17,760 --> 00:32:21,560 Speaker 1: no electronics, but let their kid take their phone or whatever. 581 00:32:22,240 --> 00:32:23,880 Speaker 1: That That one drives me nuts. 582 00:32:24,840 --> 00:32:28,560 Speaker 2: The tampon box was filled with chocolate bars and reglued 583 00:32:28,680 --> 00:32:30,000 Speaker 2: so it looked unopened. 584 00:32:32,400 --> 00:32:35,480 Speaker 1: Chocolate bars and tampons are kind of a perpetual motion machine. 585 00:32:35,480 --> 00:32:37,800 Speaker 2: It almost seems like, based on my experience, see what 586 00:32:37,920 --> 00:32:38,680 Speaker 2: your driving. 587 00:32:41,080 --> 00:32:43,440 Speaker 6: Check clock, GISs time stop. 588 00:32:44,200 --> 00:32:48,320 Speaker 8: Jack and Joe live, go go, and if they don't 589 00:32:48,480 --> 00:32:50,960 Speaker 8: give can they'll be back tomorrow. 590 00:32:52,080 --> 00:32:55,200 Speaker 2: Here's Joe's for final thoughts, Joe Getty. All right, let's 591 00:32:55,200 --> 00:32:56,880 Speaker 2: get a final thought from everybody in the crew. To 592 00:32:56,880 --> 00:33:00,000 Speaker 2: wrap up the day. There is Michaelangelo pressing the buttons. Michael, 593 00:33:00,360 --> 00:33:02,960 Speaker 2: my family never snucked food into camp, but we always 594 00:33:02,960 --> 00:33:06,080 Speaker 2: snuck food into the movie theaters. And that's different. That's 595 00:33:06,120 --> 00:33:07,040 Speaker 2: just being frugal. 596 00:33:07,200 --> 00:33:10,600 Speaker 1: They're changing you seven dollars for a bottle of water 597 00:33:10,760 --> 00:33:13,600 Speaker 1: and three dollars for candy bar and BRIDI thing. 598 00:33:13,680 --> 00:33:15,880 Speaker 6: We always got caught though, because it's like Mexican food 599 00:33:15,920 --> 00:33:18,280 Speaker 6: with side dishes, and it's stuck up there. 600 00:33:18,560 --> 00:33:22,680 Speaker 2: They set up a whole buffet. Yeah, Katie Greener Esteemed Newswoman. 601 00:33:22,720 --> 00:33:24,480 Speaker 2: As a final thought, Katie. 602 00:33:24,120 --> 00:33:26,640 Speaker 10: The go to movie theater food you sneak in is 603 00:33:26,680 --> 00:33:28,960 Speaker 10: always a sandwich and you can just put it in 604 00:33:29,000 --> 00:33:29,440 Speaker 10: the purse. 605 00:33:29,800 --> 00:33:34,240 Speaker 2: A sandwich sandwich. Oh yeah, perse sandwich, love it yeah? Jack. 606 00:33:34,320 --> 00:33:35,280 Speaker 2: Final thought for us. 607 00:33:35,200 --> 00:33:38,240 Speaker 1: I ordered some of them Nazi jeans last commercial break, 608 00:33:38,320 --> 00:33:41,440 Speaker 1: so I'll be wearing my Oh look at my jeans, 609 00:33:41,520 --> 00:33:44,240 Speaker 1: blue eyed white supremacy American eagle jeans. 610 00:33:44,240 --> 00:33:49,080 Speaker 2: Here soon down with your fascist jeans? Nice? Nice. Here's 611 00:33:49,120 --> 00:33:52,959 Speaker 2: a mom first name and last proudly tells the paper 612 00:33:53,320 --> 00:33:55,920 Speaker 2: she taped airheads to the pages of books to make 613 00:33:55,960 --> 00:33:58,400 Speaker 2: her nine year old and eleven year old feel like 614 00:33:58,440 --> 00:34:00,000 Speaker 2: they're not really away from home. 615 00:34:01,080 --> 00:34:03,160 Speaker 1: I want my son to feel like he's away from home. 616 00:34:03,200 --> 00:34:06,040 Speaker 2: I want him to have that experience. It's interesting that 617 00:34:06,080 --> 00:34:08,280 Speaker 2: you want. I don't know. Okay, it's up to you. 618 00:34:08,320 --> 00:34:10,640 Speaker 2: But why do you want your kid eat more crap? Though? 619 00:34:12,719 --> 00:34:14,560 Speaker 1: Go to great links to make sure they get their 620 00:34:14,920 --> 00:34:17,440 Speaker 1: daily allotment of crap? 621 00:34:17,520 --> 00:34:21,640 Speaker 2: Deat. Here's a family that's that removed the stuffing from 622 00:34:21,680 --> 00:34:25,239 Speaker 2: a Teddy Bear and stuffed it full of candy. What 623 00:34:25,280 --> 00:34:26,600 Speaker 2: the hell? Is the matter with you? 624 00:34:26,600 --> 00:34:29,279 Speaker 1: You're nuts and I'm you know I'm not perfect on 625 00:34:29,400 --> 00:34:30,959 Speaker 1: our eating habits, as all your. 626 00:34:30,880 --> 00:34:34,080 Speaker 2: Kids are gonna end up in prison. Armstrong in Getty 627 00:34:34,640 --> 00:34:38,200 Speaker 2: wrapping up another grueling four hour workday. There's a soccer 628 00:34:38,320 --> 00:34:40,919 Speaker 2: ball hollowed at what the hell? So many people? Thanks 629 00:34:40,960 --> 00:34:42,640 Speaker 2: a little time. Go to Armstrong and Getty dot com. 630 00:34:42,680 --> 00:34:45,000 Speaker 2: Drop us note mail bag at Armstrong and Getdy dot com. 631 00:34:45,360 --> 00:34:47,160 Speaker 1: We will see tomorrow at the News of the Day 632 00:34:47,200 --> 00:34:48,760 Speaker 1: and everything else. Gott bless America. 633 00:34:50,640 --> 00:34:53,080 Speaker 2: I'm Strong and Getty. Baby. 634 00:34:54,040 --> 00:34:59,600 Speaker 6: If you have a wonder, if Jack and Joe Miss 635 00:34:59,680 --> 00:35:08,640 Speaker 6: Dandy today's speaks Stormy, don't be a stone because you 636 00:35:08,800 --> 00:35:15,080 Speaker 6: know they covered everything. But if you may Sky, there's 637 00:35:15,120 --> 00:35:20,840 Speaker 6: no need to worry. Just download the podcast I'm Strong 638 00:35:21,000 --> 00:35:25,360 Speaker 2: And Getdy on demand Armstrong and Getdy