1 00:00:01,920 --> 00:00:06,200 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,280 --> 00:00:10,920 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty arm Strong and 3 00:00:11,039 --> 00:00:17,800 Speaker 1: Jetty and no He Armstrong and Yetty. 4 00:00:24,239 --> 00:00:24,520 Speaker 2: Jailing. 5 00:00:24,640 --> 00:00:28,800 Speaker 3: He scored three touchdowns on Sunday. You did, but the 6 00:00:28,840 --> 00:00:35,120 Speaker 3: first one was doing what people are calling the toush push. 7 00:00:35,200 --> 00:00:36,760 Speaker 2: Yeah, is that what you call it? 8 00:00:37,000 --> 00:00:38,440 Speaker 1: It's not what I call it. It's not what you 9 00:00:38,479 --> 00:00:41,680 Speaker 1: call it's not what I call it. What do you 10 00:00:41,720 --> 00:00:42,080 Speaker 1: call it? 11 00:00:42,800 --> 00:00:44,440 Speaker 2: And I'm not gonna say what I called it? 12 00:00:44,440 --> 00:00:45,040 Speaker 1: But it's okay. 13 00:00:46,040 --> 00:00:48,360 Speaker 4: I'll take off too, because when I got there, I'm 14 00:00:48,400 --> 00:00:50,360 Speaker 4: known as the toush push. But I didn't know if 15 00:00:50,400 --> 00:00:52,400 Speaker 4: that's what we called But I thought it was called that, 16 00:00:52,520 --> 00:00:54,400 Speaker 4: and it's not called the touchbush. 17 00:00:54,440 --> 00:00:56,200 Speaker 1: Actually, no, what. 18 00:00:56,640 --> 00:00:58,120 Speaker 2: Is your role in the in the. 19 00:00:58,520 --> 00:00:59,760 Speaker 1: Quote unquote touch push. 20 00:00:59,840 --> 00:01:02,840 Speaker 4: I think I have the easiest job, to be honest. 21 00:01:03,040 --> 00:01:08,440 Speaker 4: I think I'm the one who pushes the tush. 22 00:01:08,520 --> 00:01:10,800 Speaker 1: That's partly the running back. I pushed the tush and 23 00:01:10,840 --> 00:01:12,920 Speaker 1: the quarterback for the Eagles. I wonder what they do 24 00:01:13,080 --> 00:01:15,120 Speaker 1: call it. Obviously it's not a good one. It's got 25 00:01:15,120 --> 00:01:17,720 Speaker 1: to be some sort of jam it up there, you know, whatever, 26 00:01:17,959 --> 00:01:20,280 Speaker 1: Some sort of name like that I want. Oh I 27 00:01:20,400 --> 00:01:24,640 Speaker 1: hope not. Yes, Michael, I was told to brotherly shove. 28 00:01:25,000 --> 00:01:27,680 Speaker 5: The brotherly shove. That's the other nickname for it, because 29 00:01:27,680 --> 00:01:28,440 Speaker 5: it's Philadelphia. 30 00:01:28,600 --> 00:01:31,280 Speaker 1: Yeah, yeah, I don't think he'd be afraid to say that. 31 00:01:31,440 --> 00:01:33,440 Speaker 5: Oh no, no, no, that's not what they call Yeah, 32 00:01:33,480 --> 00:01:34,880 Speaker 5: they call it something unerable. 33 00:01:34,959 --> 00:01:36,840 Speaker 1: They call it, let's say, let's jam it, you know 34 00:01:36,920 --> 00:01:39,080 Speaker 1: up there. I'll bet it something like that. And I 35 00:01:39,120 --> 00:01:40,640 Speaker 1: don't appreciate the course language. 36 00:01:40,680 --> 00:01:43,080 Speaker 5: Speaking of which, the next thing we're about to play, 37 00:01:43,160 --> 00:01:45,880 Speaker 5: I think it's worth noting, first of all, this is 38 00:01:45,920 --> 00:01:47,960 Speaker 5: not the most important part of it. 39 00:01:48,080 --> 00:01:48,960 Speaker 1: We'll get to that. 40 00:01:49,640 --> 00:01:53,080 Speaker 5: But the first part of it is Maxine Dexter, who's 41 00:01:53,120 --> 00:01:55,240 Speaker 5: a Democrat congresswoman from Oregon. 42 00:01:55,320 --> 00:01:57,440 Speaker 1: All the people you're about to hear are Congress people. 43 00:01:57,880 --> 00:01:58,520 Speaker 1: And she's a. 44 00:01:58,600 --> 00:02:03,200 Speaker 5: Nice like school teacher, sure mom, who decided to run 45 00:02:03,240 --> 00:02:04,160 Speaker 5: for Congress. 46 00:02:04,600 --> 00:02:05,200 Speaker 1: Nice person. 47 00:02:05,240 --> 00:02:08,320 Speaker 5: I disagree with her politics, but and you can hear 48 00:02:08,440 --> 00:02:11,120 Speaker 5: the discomfort in her voice as she's joining in the 49 00:02:11,480 --> 00:02:14,359 Speaker 5: new slogan that's gonna turn America around. 50 00:02:14,919 --> 00:02:18,400 Speaker 1: I am gonna tell you that we do have to. 51 00:02:20,000 --> 00:02:23,000 Speaker 2: I don't swear in public very well, but we have 52 00:02:23,120 --> 00:02:23,960 Speaker 2: to Trump. 53 00:02:28,440 --> 00:02:31,320 Speaker 6: Please don't tell my children that I just said that. 54 00:02:31,600 --> 00:02:33,639 Speaker 2: And I'll tell you I'm from Jersey, so it look 55 00:02:33,639 --> 00:02:34,880 Speaker 2: get a little different. 56 00:02:36,360 --> 00:02:43,079 Speaker 1: Problem Donald Trump and Elon So you can chart this 57 00:02:43,639 --> 00:02:48,840 Speaker 1: over my lifetime quite easily, of the coarseness of our 58 00:02:48,880 --> 00:02:51,639 Speaker 1: politics and this let us go around. There was the 59 00:02:51,760 --> 00:02:56,880 Speaker 1: F Joe Biden, but politicians weren't saying it. Football crowds 60 00:02:56,880 --> 00:02:58,640 Speaker 1: were chanting it or whatever, but you didn't have a 61 00:02:58,720 --> 00:03:00,880 Speaker 1: rally on the steps. Now it's gone from the football 62 00:03:00,880 --> 00:03:04,840 Speaker 1: crowd to the politicians saying F the President. And I 63 00:03:04,880 --> 00:03:06,640 Speaker 1: don't really I think we might be at the end 64 00:03:06,639 --> 00:03:09,400 Speaker 1: of the road unless, like you said earlier, well, right, 65 00:03:09,480 --> 00:03:12,840 Speaker 1: we're at the lowest common denominator, unless we just moved 66 00:03:12,840 --> 00:03:16,040 Speaker 1: that final step to taking a crap on the stage 67 00:03:16,080 --> 00:03:20,919 Speaker 1: and pointing at it, no words necessary. Right, our discourse 68 00:03:21,000 --> 00:03:23,440 Speaker 1: has got as low as it can possibly get. 69 00:03:23,480 --> 00:03:27,080 Speaker 5: I think they've got to start showing Idiocracy the Great 70 00:03:27,400 --> 00:03:30,160 Speaker 5: movie in the Civics class in eighth grade, in the 71 00:03:30,200 --> 00:03:32,280 Speaker 5: few school districts that have civics classes. 72 00:03:32,880 --> 00:03:35,080 Speaker 1: Yeah, it's you know what it is. 73 00:03:35,120 --> 00:03:37,960 Speaker 5: If I were to put on my serious political analyst hat, 74 00:03:39,040 --> 00:03:47,360 Speaker 5: it's a nakedly transparent and frantic effort to gather the 75 00:03:47,400 --> 00:03:53,000 Speaker 5: troops around some message, any message of defiance and resistance 76 00:03:53,680 --> 00:03:56,240 Speaker 5: to the Trump administration. But try as they might, they're 77 00:03:56,320 --> 00:03:59,960 Speaker 5: just not finding anything. Howling about Elon Musk being any 78 00:04:00,000 --> 00:04:02,160 Speaker 5: dollar gark and unelected. In the rest of it. I mean, 79 00:04:02,160 --> 00:04:04,400 Speaker 5: it's it's okay. 80 00:04:04,120 --> 00:04:04,840 Speaker 1: For the base. 81 00:04:05,720 --> 00:04:07,720 Speaker 5: The base is digging it, they're loving it the base, 82 00:04:07,800 --> 00:04:09,480 Speaker 5: but the base is way too small. 83 00:04:09,840 --> 00:04:11,640 Speaker 1: Yeah, I got I got a point on that to make. 84 00:04:11,680 --> 00:04:13,760 Speaker 1: But I want to read this text because a last 85 00:04:13,760 --> 00:04:17,320 Speaker 1: hour we're talking about Elon and Trump in the Oval 86 00:04:17,360 --> 00:04:20,760 Speaker 1: office yesterday, and Elon was talking about uh, Trump was 87 00:04:20,760 --> 00:04:23,760 Speaker 1: talking about various government programs or where people get paid 88 00:04:23,800 --> 00:04:26,080 Speaker 1: long after their contract has ended and nobody pays any 89 00:04:26,080 --> 00:04:28,200 Speaker 1: attention and blah blah blah. So we got this text. 90 00:04:29,000 --> 00:04:32,839 Speaker 1: I was receiving dozens and dozens of COVID payments in 91 00:04:32,960 --> 00:04:36,640 Speaker 1: other people's names at my rural mailbox, and I returned 92 00:04:36,720 --> 00:04:39,919 Speaker 1: all of them, indicating that the fraudulent nature, and not 93 00:04:40,080 --> 00:04:42,480 Speaker 1: one person from the government asked me a single question. 94 00:04:42,760 --> 00:04:46,480 Speaker 1: They just send them month after month after month. Wow. 95 00:04:46,640 --> 00:04:49,279 Speaker 1: I'm thinking if I ever got something like that I'm 96 00:04:49,279 --> 00:04:52,360 Speaker 1: put in the bank, I might not spend it under 97 00:04:52,400 --> 00:04:55,200 Speaker 1: the fear that at some point somebody catches on and 98 00:04:55,240 --> 00:04:57,000 Speaker 1: comes and says, hey, where's our two hundred and twenty 99 00:04:57,000 --> 00:04:59,080 Speaker 1: five thousand dollars we've over the last ten years, And 100 00:04:59,120 --> 00:05:00,839 Speaker 1: then I wouldn't have it, but I might put it 101 00:05:00,880 --> 00:05:02,760 Speaker 1: in the bank. I don't know. I pay a lot 102 00:05:02,800 --> 00:05:04,000 Speaker 1: of tax, that's that's sure. 103 00:05:04,120 --> 00:05:06,640 Speaker 5: Yeah, yeah, as long as you knew you could write 104 00:05:06,680 --> 00:05:08,679 Speaker 5: them that check when they finally came a calling. 105 00:05:08,720 --> 00:05:10,040 Speaker 1: If they finally came a calling. 106 00:05:10,320 --> 00:05:13,800 Speaker 5: Uh yeah, I don't think there's any issue with that whatsoever. 107 00:05:13,960 --> 00:05:15,599 Speaker 1: And in fact, it could be argued you kept it 108 00:05:15,640 --> 00:05:18,440 Speaker 1: safe to the political rhetoric. And I will mention for 109 00:05:18,480 --> 00:05:20,680 Speaker 1: the one millionth time of book nobody has read but me, 110 00:05:20,880 --> 00:05:24,359 Speaker 1: Paris on Fire. It's about the they had a civil 111 00:05:24,480 --> 00:05:28,960 Speaker 1: war in France, particularly in Paris in eighteen seventy in 112 00:05:28,960 --> 00:05:32,719 Speaker 1: eighteen seventy one, that I had never read about or 113 00:05:32,760 --> 00:05:37,960 Speaker 1: heard about. And it's amazing it got as ugly as 114 00:05:38,040 --> 00:05:43,040 Speaker 1: what Hamas did to the Jews on that day, between 115 00:05:44,279 --> 00:05:46,120 Speaker 1: people that grew up in France, their whole lives lived 116 00:05:46,160 --> 00:05:48,080 Speaker 1: in Paris, or whole lives to each other. I mean 117 00:05:48,200 --> 00:05:53,960 Speaker 1: that brutal in Paris in eighteen seventy wow, because of 118 00:05:54,000 --> 00:05:56,719 Speaker 1: the politics ramping up and ramping up and ramping up 119 00:05:56,760 --> 00:05:59,440 Speaker 1: in what people were saying about each other and claiming 120 00:05:59,480 --> 00:06:02,760 Speaker 1: that they're side could do. And one thing the author said, 121 00:06:03,360 --> 00:06:05,880 Speaker 1: as once it finally calmed down and they're trying to 122 00:06:05,920 --> 00:06:11,360 Speaker 1: put things back together, and everybody's just gobsmacked by what 123 00:06:11,400 --> 00:06:15,440 Speaker 1: the hell just happened. Buildings are rubble all around Paris, 124 00:06:15,480 --> 00:06:18,400 Speaker 1: the stench of dead bodies everywhere. Everybody knows somebody that 125 00:06:18,520 --> 00:06:23,360 Speaker 1: was raped or mutilated or tortured or whatever in Paris, France, 126 00:06:23,400 --> 00:06:27,359 Speaker 1: which at the time was the most sophisticated city in 127 00:06:27,400 --> 00:06:29,760 Speaker 1: the world, and the whole world was looking at it 128 00:06:29,839 --> 00:06:34,720 Speaker 1: like what the hell that can happen? And one thing 129 00:06:34,720 --> 00:06:36,480 Speaker 1: the author said that I thought was so interesting and 130 00:06:36,680 --> 00:06:41,920 Speaker 1: we might see this in our lifetimes. After that political speeches, 131 00:06:42,040 --> 00:06:44,719 Speaker 1: nobody was paying any attention, like we've heard this before, 132 00:06:45,040 --> 00:06:47,919 Speaker 1: we've heard this, we know where this goes. You getting 133 00:06:47,960 --> 00:06:50,039 Speaker 1: us all riled up and claiming the other side is 134 00:06:50,080 --> 00:06:53,240 Speaker 1: evil in our side's always right. And it took a 135 00:06:53,320 --> 00:06:57,799 Speaker 1: long time before anybody believed politicians again after that happened. 136 00:06:58,279 --> 00:07:01,839 Speaker 5: How interesting, That's what I thought. Yeah, the aftermath of it. 137 00:07:01,880 --> 00:07:03,040 Speaker 5: I hadn't even considered that. 138 00:07:03,080 --> 00:07:05,800 Speaker 1: Oh, okay, this isn't a game. But I'm sure you 139 00:07:06,080 --> 00:07:08,640 Speaker 1: finally at some point think, oh, oh, this isn't a game. 140 00:07:08,680 --> 00:07:12,400 Speaker 1: I understand, and this is where it can go if 141 00:07:12,440 --> 00:07:15,640 Speaker 1: we demonize the other side so much for so long, 142 00:07:16,120 --> 00:07:19,040 Speaker 1: and oh oh, your claims of all my dreams will 143 00:07:19,080 --> 00:07:24,640 Speaker 1: come true? Not so much. Yeah, yeah, this has always 144 00:07:24,680 --> 00:07:26,760 Speaker 1: been true of politics. I'm gonna keep this very vague. 145 00:07:26,840 --> 00:07:31,360 Speaker 5: I ran into some folks recently who are very very 146 00:07:31,400 --> 00:07:36,840 Speaker 5: modest circumstances in life, and from a place like many 147 00:07:36,880 --> 00:07:42,560 Speaker 5: of us live, that is very very blue, and in 148 00:07:42,680 --> 00:07:48,080 Speaker 5: spite of their complete lack of political sophistication, they held 149 00:07:48,400 --> 00:07:55,200 Speaker 5: completely confident contempt for anybody who thought differently than the 150 00:07:55,240 --> 00:07:57,560 Speaker 5: people that surround them. And I, you know, since I've 151 00:07:57,560 --> 00:07:59,400 Speaker 5: been studying this stuff since I was a little kid, 152 00:07:59,640 --> 00:08:00,760 Speaker 5: it doesn't threaten me. 153 00:08:00,760 --> 00:08:03,120 Speaker 1: I don't get angry. I'm just interested in it mostly. 154 00:08:04,760 --> 00:08:04,920 Speaker 1: You know. 155 00:08:05,200 --> 00:08:07,880 Speaker 5: Obviously, on an electoral level, when elections are when and 156 00:08:07,960 --> 00:08:09,920 Speaker 5: lost in decisions get made, then I care a lot. 157 00:08:10,000 --> 00:08:12,600 Speaker 5: But just when I'm interacting with individuals, I'm more curious 158 00:08:12,640 --> 00:08:15,680 Speaker 5: than anything. And it was absolutely clear to me in 159 00:08:15,680 --> 00:08:18,640 Speaker 5: that moment that it was the classic I have to 160 00:08:18,760 --> 00:08:23,760 Speaker 5: feel better than someone to feel good about myself phenomenon. 161 00:08:24,760 --> 00:08:30,280 Speaker 5: And the problem with that feeling because we it's I mean, 162 00:08:30,320 --> 00:08:33,400 Speaker 5: that's like a constant and humankind. It explains a lot 163 00:08:33,400 --> 00:08:37,520 Speaker 5: of racism and xenophobia or whatever. But the problem is 164 00:08:37,559 --> 00:08:44,840 Speaker 5: now that politics is omnipresent in our lives. And if 165 00:08:45,000 --> 00:08:47,880 Speaker 5: that feeling is Jack was just describing about, you know, 166 00:08:47,960 --> 00:08:51,080 Speaker 5: Paris in the eighteen seventies, if that feeling extends to 167 00:08:51,360 --> 00:08:57,200 Speaker 5: politics and then political violence, it ends in horrific bloodshed. 168 00:08:57,679 --> 00:09:01,720 Speaker 1: Yeah, it can all come apart. And and that's why 169 00:09:02,880 --> 00:09:07,520 Speaker 1: for a couple hundred years anyway, we had people speaking 170 00:09:07,600 --> 00:09:10,880 Speaker 1: politicians about each other. I disagree with the good gentleman 171 00:09:10,920 --> 00:09:14,400 Speaker 1: from Missouri, I think the fact friend from Kansas. Yeah, 172 00:09:14,480 --> 00:09:19,520 Speaker 1: the reason they went so far that direction was it 173 00:09:20,000 --> 00:09:22,800 Speaker 1: can go It can really come apart, and I just 174 00:09:23,400 --> 00:09:25,520 Speaker 1: you know, wow, I'm you know, if you've listened to 175 00:09:25,520 --> 00:09:27,319 Speaker 1: this show for years, you know, I'm more than capable 176 00:09:27,360 --> 00:09:29,720 Speaker 1: of laughing at you know, F this and F that 177 00:09:29,760 --> 00:09:36,719 Speaker 1: and all that sort of low level discourse. But you 178 00:09:36,760 --> 00:09:40,760 Speaker 1: don't want it to all just disintegrate. Yeah, it's a 179 00:09:40,800 --> 00:09:43,360 Speaker 1: step away from I hate you. I hate you, and 180 00:09:43,400 --> 00:09:47,000 Speaker 1: that's the only discourse that crosses the austs. We're discussing earlier, 181 00:09:47,600 --> 00:09:49,920 Speaker 1: the stuff Elon Musk said, and we'll play some more 182 00:09:49,920 --> 00:09:52,800 Speaker 1: of the audio from his impromptu I guess a press 183 00:09:52,800 --> 00:09:55,280 Speaker 1: conference in the Oval Office yesterday, in which he was 184 00:09:55,400 --> 00:10:02,000 Speaker 1: explaining in extremely calm and measured ways, perfectly sensible descriptions 185 00:10:02,080 --> 00:10:04,960 Speaker 1: of the fiscal crisis that we're nearing as a country 186 00:10:04,960 --> 00:10:07,160 Speaker 1: and how we have to rein in spending on the 187 00:10:07,320 --> 00:10:09,800 Speaker 1: not so great, not so important stuff, or we'll have 188 00:10:09,880 --> 00:10:13,560 Speaker 1: no money for the very very great, extremely important stuff 189 00:10:13,880 --> 00:10:17,360 Speaker 1: and soon. And by the way, just as an aside, 190 00:10:17,400 --> 00:10:20,960 Speaker 1: the idea among some people, particularly on particularly on the left, 191 00:10:20,960 --> 00:10:22,600 Speaker 1: that we can just grow our way out of our 192 00:10:22,600 --> 00:10:26,040 Speaker 1: debt problems. It's a very Wolf of Wall Street esque 193 00:10:26,120 --> 00:10:28,040 Speaker 1: view of life. We'll just make more and more and 194 00:10:28,080 --> 00:10:28,640 Speaker 1: more money. 195 00:10:28,760 --> 00:10:31,040 Speaker 5: It's okay, how much we're spending on cocaine, hookers and 196 00:10:31,040 --> 00:10:33,560 Speaker 5: giant houses and cars, Well, just keep making more money. 197 00:10:33,840 --> 00:10:37,439 Speaker 5: It's just, oh my god, it's an idiotic notion. But anyway, 198 00:10:37,600 --> 00:10:39,920 Speaker 5: the fact that he would say what he said in 199 00:10:39,960 --> 00:10:43,920 Speaker 5: such reasonable tones and have some of the heavyweights of 200 00:10:44,040 --> 00:10:46,680 Speaker 5: media and society and academia. 201 00:10:47,000 --> 00:10:52,199 Speaker 1: He's a monster in reply to what he said, that's troubling. 202 00:10:52,640 --> 00:10:56,800 Speaker 5: Yeah, I mean it's as if he said, puppies are cute, 203 00:10:57,440 --> 00:11:01,600 Speaker 5: and good nutrition helps keep you healthy, and gosh, there's 204 00:11:01,640 --> 00:11:05,000 Speaker 5: nothing better than a spring day. And he was screeched 205 00:11:05,000 --> 00:11:07,320 Speaker 5: at as a monster for saying those things, as if 206 00:11:07,320 --> 00:11:07,840 Speaker 5: he were. 207 00:11:07,679 --> 00:11:12,240 Speaker 1: Saying I hate poor people and they should suffer, or 208 00:11:12,760 --> 00:11:14,200 Speaker 1: I hate this race or that race. 209 00:11:14,320 --> 00:11:20,880 Speaker 5: That's the way it's being treated, right, Yeah, is there 210 00:11:20,920 --> 00:11:24,520 Speaker 5: getting past this without horrific bloodshed? And it's worth noting 211 00:11:24,559 --> 00:11:26,520 Speaker 5: we had our own civil war, perhaps you've heard of it, 212 00:11:26,840 --> 00:11:30,160 Speaker 5: which probably gave birth to a lot of that civility 213 00:11:30,559 --> 00:11:32,760 Speaker 5: in our government for a very long time. 214 00:11:34,720 --> 00:11:38,280 Speaker 1: Yeah, you're exactly right. You're exactly right. That is probably 215 00:11:38,320 --> 00:11:41,840 Speaker 1: what led to the let's keep this really really cool 216 00:11:42,200 --> 00:11:48,640 Speaker 1: from here on out right, so that doesn't happen again. Yeah, Well, 217 00:11:48,679 --> 00:11:51,000 Speaker 1: so there you go. I don't expect it to get 218 00:11:51,000 --> 00:11:52,559 Speaker 1: turned around anytime soon. 219 00:11:54,520 --> 00:12:01,240 Speaker 5: No, I don't know what would overwhelming success of the 220 00:12:01,240 --> 00:12:05,559 Speaker 5: Trump administration would help. Although, man, I'm gonna be a 221 00:12:05,600 --> 00:12:08,800 Speaker 5: little pessimistic here. If you could not get the average 222 00:12:08,880 --> 00:12:12,360 Speaker 5: voter to be aware of our mounting debt crisis and 223 00:12:12,480 --> 00:12:14,640 Speaker 5: vote in ways that would be good to get rid 224 00:12:14,640 --> 00:12:17,079 Speaker 5: of it. How are you going to get their praise 225 00:12:17,320 --> 00:12:18,400 Speaker 5: for solving it. 226 00:12:21,679 --> 00:12:23,400 Speaker 1: We've got a lot more to talk about. There's a 227 00:12:23,480 --> 00:12:26,960 Speaker 1: rush around the country to buy chickens amid the eggs shortage. 228 00:12:26,960 --> 00:12:30,200 Speaker 1: People trying to figure out what equipment do I need 229 00:12:30,240 --> 00:12:33,280 Speaker 1: to have chickens in my backyard or my garage. I 230 00:12:33,280 --> 00:12:34,920 Speaker 1: don't know how many eggs you all eat. I'm not 231 00:12:34,960 --> 00:12:36,640 Speaker 1: going to become a chicken farmer all of a sudden 232 00:12:36,720 --> 00:12:39,000 Speaker 1: because eggs are more expensive. I'll just eat fewer eggs, 233 00:12:39,000 --> 00:12:41,320 Speaker 1: I guess. And now credit where it's due. 234 00:12:41,360 --> 00:12:44,400 Speaker 5: Some notable liberal media let's saying, Hey, the whole keeping 235 00:12:44,400 --> 00:12:46,680 Speaker 5: the kids out of school thing during COVID was a disaster, 236 00:12:46,760 --> 00:12:48,360 Speaker 5: and it's way worse than Blue States. 237 00:12:48,480 --> 00:12:51,200 Speaker 1: Oh boy, I love hearing that. I hate to love 238 00:12:51,520 --> 00:12:54,160 Speaker 1: I love that. I h I'll work on that. Stay tuned. 239 00:12:58,000 --> 00:13:03,120 Speaker 1: So news of the day inflation about three percent in January, 240 00:13:03,440 --> 00:13:07,360 Speaker 1: higher than economists expected. Market drops, blah blah blah. You 241 00:13:07,360 --> 00:13:11,280 Speaker 1: know the story. It's left over from the Biden administration. 242 00:13:11,520 --> 00:13:14,160 Speaker 1: But the next inflation numbers people will blame on Trump 243 00:13:14,280 --> 00:13:16,800 Speaker 1: rightly or wrongly, and I think wrongly that early, but 244 00:13:17,280 --> 00:13:18,960 Speaker 1: you know that's how it will work. 245 00:13:19,559 --> 00:13:22,920 Speaker 5: January is huge too, because it's when many, many, many 246 00:13:22,960 --> 00:13:26,960 Speaker 5: businesses look at how last year went and say, hey, 247 00:13:27,000 --> 00:13:29,720 Speaker 5: look we got to reprint the menus with higher prices. 248 00:13:30,880 --> 00:13:32,880 Speaker 1: During inflation, there was a lot of talk about, well, 249 00:13:32,880 --> 00:13:34,760 Speaker 1: everything was more expensive when we talked about it all 250 00:13:34,800 --> 00:13:39,120 Speaker 1: the time, but eggs and bacon regularly got mentioned. Eggs 251 00:13:39,160 --> 00:13:42,720 Speaker 1: are particularly expensive. Now you combine inflation with the bird 252 00:13:42,800 --> 00:13:45,400 Speaker 1: flu and destroying so many chickens and all this sort 253 00:13:45,400 --> 00:13:47,400 Speaker 1: of stuff that's going on around the country, and eggs 254 00:13:47,440 --> 00:13:50,640 Speaker 1: are the most expensive they've ever been. I continue to 255 00:13:50,640 --> 00:13:52,880 Speaker 1: wonder how many eggs do you all eat? How vital 256 00:13:52,920 --> 00:13:55,120 Speaker 1: is it to your diet. I don't eat that many eggs, 257 00:13:55,120 --> 00:13:57,520 Speaker 1: and even if I did, if they got more expensive 258 00:13:57,520 --> 00:13:59,280 Speaker 1: than I wanted to pay, I'd switched to something else. 259 00:13:59,320 --> 00:14:00,960 Speaker 1: But you know, I don't know. It must be very 260 00:14:00,960 --> 00:14:04,080 Speaker 1: important to many of you, because I saw this on 261 00:14:04,120 --> 00:14:06,000 Speaker 1: TV and then I googled it and I came across 262 00:14:06,000 --> 00:14:09,439 Speaker 1: a news story, afternoon story all across the country buying 263 00:14:09,559 --> 00:14:13,480 Speaker 1: chickens to save money on eggs. Fox thirteen Seattle Rising 264 00:14:13,480 --> 00:14:16,840 Speaker 1: egg prices have Sacramento County residents flocking to feed stores 265 00:14:16,880 --> 00:14:21,480 Speaker 1: to buy laying heads, and Orlando hig egg prices lead 266 00:14:21,520 --> 00:14:24,440 Speaker 1: people to start buying chickens, and it's all over the country. 267 00:14:24,720 --> 00:14:29,200 Speaker 1: People are buying, setting up becoming chicken farmers so they 268 00:14:29,200 --> 00:14:34,160 Speaker 1: can provide their own eggs. And it reminds me of 269 00:14:34,440 --> 00:14:39,000 Speaker 1: when gas prices get high and some people will trade 270 00:14:39,040 --> 00:14:42,920 Speaker 1: in a car at a cost of tens of thousands 271 00:14:42,920 --> 00:14:46,720 Speaker 1: of dollars to save an extra ten dollars a week 272 00:14:47,080 --> 00:14:49,680 Speaker 1: briefly while gas is high. And it happens all the time. 273 00:14:49,680 --> 00:14:52,000 Speaker 1: I remember when we were endorsing a car lot once 274 00:14:52,040 --> 00:14:53,640 Speaker 1: he said, oh yeah, gas prices get high, and we 275 00:14:53,680 --> 00:14:56,240 Speaker 1: get people coming in, you know, changing their least costing 276 00:14:56,280 --> 00:14:59,440 Speaker 1: them tons of money to because gases. People don't do 277 00:14:59,480 --> 00:15:01,920 Speaker 1: the math. I'm the same with the chickens. I mean, 278 00:15:02,960 --> 00:15:06,520 Speaker 1: living on the farm, we had chickens laying lots of eggs. 279 00:15:07,400 --> 00:15:10,080 Speaker 1: First of all, you don't need that many chickens because 280 00:15:10,080 --> 00:15:11,680 Speaker 1: you will have more eggs than you know what to 281 00:15:11,720 --> 00:15:13,280 Speaker 1: do with. Before you know. 282 00:15:13,240 --> 00:15:16,880 Speaker 5: It, what's the average output per chicken. I'm a city guy. 283 00:15:16,880 --> 00:15:17,360 Speaker 5: I don't know this. 284 00:15:18,320 --> 00:15:21,720 Speaker 1: I wasn't counting it. Per chicken heine. But I know 285 00:15:21,760 --> 00:15:24,280 Speaker 1: we had a few hens, and we had I mean 286 00:15:24,400 --> 00:15:26,960 Speaker 1: just was constantly eating eggs, not wanting them to go 287 00:15:27,040 --> 00:15:33,200 Speaker 1: to waste, and just eggs. You know, eggs everywhere, and 288 00:15:33,280 --> 00:15:33,800 Speaker 1: of course. 289 00:15:33,640 --> 00:15:36,520 Speaker 5: In California, you couldn't give them to your neighbors except 290 00:15:36,640 --> 00:15:39,760 Speaker 5: under the dark of night to risk being accused of 291 00:15:40,480 --> 00:15:43,280 Speaker 5: unlicensed chicken good distribution. 292 00:15:43,600 --> 00:15:45,360 Speaker 1: Well, the other problem you're going to have is unless 293 00:15:46,080 --> 00:15:47,280 Speaker 1: maybe you don't have a dog. But if you have 294 00:15:47,320 --> 00:15:49,160 Speaker 1: your dog, your dog is going to eat your chickens. 295 00:15:49,240 --> 00:15:50,880 Speaker 1: And if it doesn't eat your chickens, it's gonna eat 296 00:15:50,880 --> 00:15:52,840 Speaker 1: your eggs. So you have to keep the dog out 297 00:15:52,840 --> 00:15:55,040 Speaker 1: of the henhouse. Somehow it will eat your chickens, it 298 00:15:55,040 --> 00:15:57,680 Speaker 1: will eat your eggs, and you'll have your eggs sucking dog. 299 00:15:58,000 --> 00:16:01,440 Speaker 1: We have a very fat blue healer dog that eats 300 00:16:01,480 --> 00:16:02,160 Speaker 1: so many eggs. 301 00:16:03,320 --> 00:16:06,680 Speaker 5: Well, longtime listeners the show, remember when my two Labrador 302 00:16:06,760 --> 00:16:10,400 Speaker 5: Retrievers murdered several neighborhood chickens, causing a great deal of 303 00:16:10,440 --> 00:16:11,320 Speaker 5: angst in the hood. 304 00:16:11,400 --> 00:16:13,040 Speaker 1: I don't know what it is about chickens and dogs, 305 00:16:13,040 --> 00:16:15,640 Speaker 1: but some dogs don't care. They're fine, They'll just walk 306 00:16:15,680 --> 00:16:18,440 Speaker 1: Buy a chicken other dogs. It's like their life's gold 307 00:16:18,480 --> 00:16:20,840 Speaker 1: to kill that chicken. And you can't train them out 308 00:16:20,880 --> 00:16:23,400 Speaker 1: of it or nothing. No, and they don't eat it. 309 00:16:23,440 --> 00:16:25,600 Speaker 1: They just kill it. Yeah. Yeah, they just are really 310 00:16:25,600 --> 00:16:28,440 Speaker 1: bothered by the existence of a chicken for some reason. 311 00:16:28,680 --> 00:16:30,640 Speaker 1: Although if your dog eats endless eggs, it will have 312 00:16:30,640 --> 00:16:33,240 Speaker 1: a very shiny coat. I have learned that. But I 313 00:16:33,320 --> 00:16:36,520 Speaker 1: gotta believe that building a coop, especially in an urban area, 314 00:16:36,520 --> 00:16:37,760 Speaker 1: because you're gonna have to build a coop. You can't 315 00:16:37,760 --> 00:16:39,160 Speaker 1: just let them run around the farm like we do. 316 00:16:39,960 --> 00:16:41,520 Speaker 1: You build a coop and you get the feet and 317 00:16:41,560 --> 00:16:43,320 Speaker 1: you buy the chickens. I don't know how ahead you're 318 00:16:43,320 --> 00:16:44,400 Speaker 1: gonna come out on this deal. 319 00:16:44,560 --> 00:16:46,800 Speaker 5: Oh, somebody's got to watch them when you go on 320 00:16:46,880 --> 00:16:49,360 Speaker 5: vacation or whatever too, which is a pain in the butt. 321 00:16:49,480 --> 00:16:52,160 Speaker 5: Although just the very primal nature of the kind of 322 00:16:52,200 --> 00:16:55,760 Speaker 5: the unplugged, not twenty first century nature of tending to 323 00:16:55,800 --> 00:16:58,560 Speaker 5: beasts and raising plants and stuff that really appeals to me. 324 00:16:58,640 --> 00:17:00,680 Speaker 1: Oh, it's awesome. It is a great feeling. 325 00:17:01,280 --> 00:17:03,920 Speaker 5: Even lefty media is saying, yeah, keeping the schools closed 326 00:17:03,960 --> 00:17:05,320 Speaker 5: during COVID was a disaster. 327 00:17:05,640 --> 00:17:09,639 Speaker 7: More on that to come Armstrong and getty right, but 328 00:17:09,960 --> 00:17:12,159 Speaker 7: show where some of the details that have come out, 329 00:17:12,200 --> 00:17:15,439 Speaker 7: like the you know, fifty nine million dollars spent on 330 00:17:15,680 --> 00:17:17,960 Speaker 7: luxury hotels, it's actually not. 331 00:17:18,760 --> 00:17:20,680 Speaker 1: About the femal money that was a used for migrants. 332 00:17:20,720 --> 00:17:22,960 Speaker 1: That was, yeah, FEMA money for migrants. 333 00:17:23,000 --> 00:17:23,480 Speaker 3: That's okay. 334 00:17:23,520 --> 00:17:25,600 Speaker 1: Now no I'm not saying it. So I'm not saying 335 00:17:25,600 --> 00:17:27,600 Speaker 1: it's okay. Don't put word So would you stop that? 336 00:17:27,760 --> 00:17:29,080 Speaker 2: Would you stop that process? 337 00:17:29,400 --> 00:17:30,000 Speaker 1: Don't be a dick? 338 00:17:32,440 --> 00:17:35,480 Speaker 5: That's a little Andy Cooper there on CNN telling his 339 00:17:35,560 --> 00:17:37,200 Speaker 5: guests Johnson UNU not to. 340 00:17:37,200 --> 00:17:43,280 Speaker 1: Be in and I quote Dick uh. Breaking news Fox 341 00:17:43,320 --> 00:17:46,359 Speaker 1: anyway is reporting that Tulsia Gabbard because they're about to 342 00:17:46,440 --> 00:17:49,960 Speaker 1: vote Tulsia Gabbard is on track to be confirmed as 343 00:17:50,040 --> 00:17:55,160 Speaker 1: Director of Intelligence. They've talked to senators and counted and 344 00:17:55,480 --> 00:17:56,920 Speaker 1: say it's going to happen. It wouldn't be hard to 345 00:17:56,920 --> 00:17:59,359 Speaker 1: do because you know who the the whole out last 346 00:17:59,440 --> 00:18:00,960 Speaker 1: knows were And if you got enough of those to 347 00:18:01,040 --> 00:18:05,440 Speaker 1: say now I'm gonna go ahead and vote yes, you'd know, 348 00:18:05,480 --> 00:18:11,120 Speaker 1: which reminds me. Came across this from the Dispatch, who 349 00:18:11,200 --> 00:18:16,600 Speaker 1: is really against Tulsa Gabbard being confirmed a lot of 350 00:18:16,600 --> 00:18:18,959 Speaker 1: my favorite thinkers are and I don't think there are 351 00:18:19,000 --> 00:18:23,920 Speaker 1: deep state hacks either. Snowden's leak and this was controversial. 352 00:18:23,960 --> 00:18:26,000 Speaker 1: Remember in our hearing the other day, she refused to 353 00:18:26,000 --> 00:18:31,000 Speaker 1: call Snowden a trader. And Snowden's leak cost US critical 354 00:18:31,040 --> 00:18:34,200 Speaker 1: access to a network we'd penetrated, depriving US policy makers 355 00:18:34,240 --> 00:18:38,159 Speaker 1: of potential high value insights into thinking and directives of 356 00:18:38,280 --> 00:18:44,119 Speaker 1: senior Chinese officials. How Snowden's leaks benefited China. We would 357 00:18:44,119 --> 00:18:48,560 Speaker 1: be in, or would have been in until we got caught, 358 00:18:48,760 --> 00:18:50,800 Speaker 1: So the inner thinking of China for quite a while 359 00:18:50,840 --> 00:18:54,919 Speaker 1: if Snowden hadn't revealed that. Yeah. See, I got an 360 00:18:55,000 --> 00:18:57,320 Speaker 1: argument at the bank yesterday about the Patriot Act. I 361 00:18:57,359 --> 00:19:00,880 Speaker 1: talked about it earlier, Grab Hour one, Armstrong, Getty on Demand. 362 00:19:01,160 --> 00:19:03,400 Speaker 1: There's a lot of bad stuff in the Patriot Act 363 00:19:03,400 --> 00:19:07,000 Speaker 1: that I'm glad Snowden alerted to about. You didn't need 364 00:19:07,040 --> 00:19:09,639 Speaker 1: to tell the world that we are spying on China, 365 00:19:09,960 --> 00:19:10,920 Speaker 1: you dick. 366 00:19:11,560 --> 00:19:13,440 Speaker 5: Yeah, it was classic case of throwing the baby out 367 00:19:13,440 --> 00:19:15,800 Speaker 5: with the bathwater, which is what the expression is all about. 368 00:19:15,840 --> 00:19:18,600 Speaker 5: He just went way, way, way too far, god, I'd say, 369 00:19:18,640 --> 00:19:19,720 Speaker 5: And he didn't have to. 370 00:19:19,760 --> 00:19:22,480 Speaker 1: And it was inexcusable and yes, traitorous. And if you'd 371 00:19:22,520 --> 00:19:25,560 Speaker 1: gone to France or someplace instead of Russia, we might 372 00:19:25,640 --> 00:19:26,600 Speaker 1: have more respect for you. 373 00:19:27,359 --> 00:19:29,000 Speaker 5: There are any number of countries around the world that 374 00:19:29,040 --> 00:19:32,680 Speaker 5: don't have extradition treaties with the US. But anyway, Yeah, 375 00:19:32,760 --> 00:19:36,239 Speaker 5: so I'm very uneasy with Telsea Gabbert. But we'll have 376 00:19:36,359 --> 00:19:39,720 Speaker 5: to see the Senate Advisors and Consents, and they're about 377 00:19:39,760 --> 00:19:40,360 Speaker 5: to apparently. 378 00:19:40,640 --> 00:19:45,080 Speaker 1: Yeah. I lean toward to the idea of the president 379 00:19:45,080 --> 00:19:46,919 Speaker 1: gets to pick who he wants unless they're just like 380 00:19:46,960 --> 00:19:50,800 Speaker 1: a flat out criminal. Well, I'll let him pick who 381 00:19:50,840 --> 00:19:52,120 Speaker 1: he wants and Gore. 382 00:19:52,680 --> 00:19:54,800 Speaker 5: One of my complaints about Trump is that he is 383 00:19:54,920 --> 00:19:58,239 Speaker 5: too transactional, that if you are loyal to him and 384 00:19:58,359 --> 00:20:00,399 Speaker 5: go to bat for him, he will you to a 385 00:20:00,440 --> 00:20:04,160 Speaker 5: position that you're unqualified for, whether by morals or ability 386 00:20:04,240 --> 00:20:04,679 Speaker 5: or whatever. 387 00:20:04,880 --> 00:20:05,359 Speaker 1: Or you know. 388 00:20:05,720 --> 00:20:09,920 Speaker 5: Partnering Steve Bannon I think is absolutely absurd, especially because 389 00:20:09,960 --> 00:20:13,000 Speaker 5: Bannon ripped off a bunch of Trump supporters. This fake 390 00:20:13,240 --> 00:20:18,399 Speaker 5: private wall building fund scheme ridiculous. Everybody else involved in 391 00:20:18,440 --> 00:20:21,239 Speaker 5: it is in prison and should be. So, you know, 392 00:20:21,359 --> 00:20:28,280 Speaker 5: having said that, except for that sort of thing, Yeah, 393 00:20:28,320 --> 00:20:32,640 Speaker 5: it's his department, it's his cabinet and famously recently, Oh 394 00:20:32,640 --> 00:20:34,719 Speaker 5: and it struck me listening to Elon Musk why that 395 00:20:34,800 --> 00:20:38,359 Speaker 5: was so novel. It was listening to a guy who 396 00:20:38,400 --> 00:20:43,959 Speaker 5: actually has some pretty significant discretionary power in the government, 397 00:20:44,040 --> 00:20:46,040 Speaker 5: in the executive branch. Because for the last you know, 398 00:20:46,080 --> 00:20:50,720 Speaker 5: a couple of decades, especially, cabinet heads are just ceremonial figureheads. Practically, 399 00:20:50,880 --> 00:20:53,640 Speaker 5: they're implementers of what the president tells them to do. 400 00:20:54,280 --> 00:20:56,120 Speaker 1: They do not have the awesome. 401 00:20:55,760 --> 00:20:59,960 Speaker 5: Powers traditionally of that office anymore. So it's just not 402 00:21:00,119 --> 00:21:00,960 Speaker 5: that big a deal. 403 00:21:01,080 --> 00:21:03,560 Speaker 1: Well, right, that's why to me, if you were going 404 00:21:03,640 --> 00:21:05,440 Speaker 1: to really clamp that, the Senate was going to really 405 00:21:05,440 --> 00:21:08,040 Speaker 1: clamp down, will decide who your cabinet member is going 406 00:21:08,080 --> 00:21:10,560 Speaker 1: to be, Well, you just pick somebody that passes the 407 00:21:10,600 --> 00:21:13,280 Speaker 1: Senate and you'd get your advice from somebody else. Nobody 408 00:21:13,280 --> 00:21:16,240 Speaker 1: can stop you from getting advice from someone. Right. 409 00:21:16,400 --> 00:21:20,000 Speaker 5: Sure, So, speaking of policy, and this is so incredibly important, 410 00:21:20,040 --> 00:21:22,800 Speaker 5: Jack is afraid it will vanish into the dustbin of history. 411 00:21:22,960 --> 00:21:24,360 Speaker 1: And I think he's probably right. 412 00:21:24,960 --> 00:21:27,600 Speaker 5: But now, even for instance, the New York Times is 413 00:21:27,760 --> 00:21:32,000 Speaker 5: admitting keeping the schools closed was a horrific idea and 414 00:21:32,240 --> 00:21:33,440 Speaker 5: utterly unnecessary. 415 00:21:33,480 --> 00:21:35,000 Speaker 1: I called it a disaster before. 416 00:21:35,359 --> 00:21:39,639 Speaker 5: No Mount Krakatoa covering your village in Lava is a disaster. 417 00:21:40,240 --> 00:21:44,639 Speaker 5: This was a crime, a partisan political crime, and the 418 00:21:44,760 --> 00:21:47,879 Speaker 5: victims were children in society as a whole. 419 00:21:47,680 --> 00:21:50,280 Speaker 1: And one of the worst things our government has ever done. 420 00:21:50,440 --> 00:21:54,119 Speaker 5: Yes, I would agree absolutely. It was like the internment 421 00:21:54,160 --> 00:21:56,159 Speaker 5: of the Japanese or whatever. You could even make a 422 00:21:56,240 --> 00:21:59,040 Speaker 5: case for that. The scientific case for keeping the little 423 00:21:59,119 --> 00:22:01,760 Speaker 5: kids out of school was null and void within a 424 00:22:01,760 --> 00:22:05,800 Speaker 5: few months of the beginning of COVID. Anyway, New York 425 00:22:05,840 --> 00:22:12,520 Speaker 5: Times writing us, yeah, paying the price. School Children in Massachusetts, Ohio, 426 00:22:12,560 --> 00:22:15,600 Speaker 5: and Pennsylvania are still about a half year behind typical 427 00:22:15,680 --> 00:22:18,680 Speaker 5: pre COVID reading levels. In Florida and Michigan, the gap 428 00:22:18,720 --> 00:22:21,360 Speaker 5: is about three quarters of a year. In Maine, Oregon 429 00:22:21,440 --> 00:22:24,280 Speaker 5: and Vermont, for instance, it's close to a full year. 430 00:22:24,680 --> 00:22:27,840 Speaker 5: This morning, Group academic researchers released their latest report card 431 00:22:27,880 --> 00:22:30,840 Speaker 5: on pandemic learning loss and it shows a disappointingly slow 432 00:22:30,880 --> 00:22:33,720 Speaker 5: recovery in almost every state. 433 00:22:33,600 --> 00:22:36,240 Speaker 1: And maybe closures, yes, and maybe you're going to get 434 00:22:36,240 --> 00:22:38,520 Speaker 1: into this or they get into this, but that's just 435 00:22:38,640 --> 00:22:44,359 Speaker 1: measuring the learning without measuring the disruption to classes. We've 436 00:22:44,440 --> 00:22:46,840 Speaker 1: heard from lots of teachers of kids are different now. 437 00:22:46,960 --> 00:22:49,640 Speaker 1: They missed a couple of years of having to sit 438 00:22:49,680 --> 00:22:51,600 Speaker 1: there and pay attention and get homework done, and they 439 00:22:51,640 --> 00:22:54,000 Speaker 1: just they're not You can't get them back in the groove. 440 00:22:54,600 --> 00:22:55,720 Speaker 1: They don't really get into that. 441 00:22:55,760 --> 00:22:57,399 Speaker 5: And I'm really glad you brought that up, because the 442 00:22:57,560 --> 00:23:02,040 Speaker 5: socio psychological damage to kids. Hell, that might make the 443 00:23:02,080 --> 00:23:06,000 Speaker 5: reading scores look like you know, I think school closures 444 00:23:06,080 --> 00:23:08,520 Speaker 5: during COVID set children back in most districts have not 445 00:23:08,520 --> 00:23:11,760 Speaker 5: been able to make up the lost ground, obviously, partly 446 00:23:11,760 --> 00:23:15,639 Speaker 5: because kids, when they're that young, they absorb information in 447 00:23:15,680 --> 00:23:18,480 Speaker 5: a way that I envy with every fiber of me. 448 00:23:19,080 --> 00:23:21,320 Speaker 5: And you can't just have them not do that for 449 00:23:21,400 --> 00:23:22,879 Speaker 5: a while and say, all right now we're going to 450 00:23:22,920 --> 00:23:23,960 Speaker 5: do it even more than usual. 451 00:23:24,000 --> 00:23:26,720 Speaker 1: It's not the way kids work. Yeah, does everybody not 452 00:23:26,880 --> 00:23:28,960 Speaker 1: know that or whatever? But anyway, up until about age eight, 453 00:23:29,000 --> 00:23:31,680 Speaker 1: your brain runs about a thousand times faster it does 454 00:23:31,720 --> 00:23:33,679 Speaker 1: after that. You take a kid out of school for 455 00:23:33,680 --> 00:23:36,360 Speaker 1: two years before age eight, Oh my god, you've done 456 00:23:36,440 --> 00:23:39,800 Speaker 1: damage to them. Yes, that's a horrifying Yeah. 457 00:23:39,840 --> 00:23:42,720 Speaker 5: So and here we get into a couple of the 458 00:23:42,720 --> 00:23:46,840 Speaker 5: more interesting specific aspects of this other a reason for 459 00:23:46,920 --> 00:23:51,760 Speaker 5: the lack of, you know, catching up progress is school absences. 460 00:23:52,000 --> 00:23:56,920 Speaker 5: The huge rise has continued long after COVID, says Thomas Kane, 461 00:23:57,160 --> 00:23:59,280 Speaker 5: Harvard Economists, member of the research team that we're going 462 00:23:59,320 --> 00:24:01,440 Speaker 5: to talk about a little. It said, the pandemic may 463 00:24:01,440 --> 00:24:04,359 Speaker 5: have been the earthquake, but heightened absenteeism is that tsunami. 464 00:24:04,400 --> 00:24:07,280 Speaker 1: And it's still rolling through school right that part, not 465 00:24:07,400 --> 00:24:09,480 Speaker 1: just not showing up to school, is still a problem. 466 00:24:10,520 --> 00:24:12,280 Speaker 5: And as I've said many times, when the New York 467 00:24:12,280 --> 00:24:16,000 Speaker 5: Times isn't being just unforgivably idiotically biased, they actually do 468 00:24:16,040 --> 00:24:19,320 Speaker 5: some pretty good deep dive reporting and they look into 469 00:24:19,359 --> 00:24:22,840 Speaker 5: the state variations. According to a new report from scholars 470 00:24:22,880 --> 00:24:26,640 Speaker 5: at your big name universities comparing performances across states, I. 471 00:24:26,600 --> 00:24:29,240 Speaker 1: Hope you're not going to tell me that blue cities 472 00:24:29,240 --> 00:24:33,520 Speaker 1: and states even got poorer performance than red I hope 473 00:24:33,560 --> 00:24:34,399 Speaker 1: you're not gonna have it. 474 00:24:34,600 --> 00:24:36,840 Speaker 5: I'm going to need you to sit down. I need 475 00:24:36,880 --> 00:24:39,560 Speaker 5: you to brace yourself. Michael Jack's about to need a 476 00:24:39,560 --> 00:24:41,280 Speaker 5: big hug, all right. 477 00:24:41,760 --> 00:24:42,520 Speaker 1: Let me know how he. 478 00:24:42,520 --> 00:24:48,359 Speaker 5: Loves that from other males. So today's report shares a 479 00:24:48,359 --> 00:24:50,480 Speaker 5: wide variety of outcomes. In the states that have made 480 00:24:50,560 --> 00:24:53,520 Speaker 5: up the most ground, they're getting close to how they 481 00:24:53,560 --> 00:24:55,600 Speaker 5: were doing five years ago, but the overall. 482 00:24:55,240 --> 00:24:56,760 Speaker 1: Picture is not good. 483 00:24:58,359 --> 00:25:01,640 Speaker 5: And I will skip some of the spatistic specific stats 484 00:25:01,680 --> 00:25:04,240 Speaker 5: and get to what they call the Blue Red divide. 485 00:25:04,280 --> 00:25:07,640 Speaker 5: Political leaders in red and blue America made different decisions 486 00:25:07,720 --> 00:25:10,520 Speaker 5: during the pandemic. Gavin Newsom, I'm looking at you, you 487 00:25:10,720 --> 00:25:15,680 Speaker 5: lying monster, James Prisker, child grooming scumback. 488 00:25:15,240 --> 00:25:20,159 Speaker 1: Because rage reads disdeath santus and people like that wanted 489 00:25:20,240 --> 00:25:23,679 Speaker 1: kids to die for some reason. They enjoy stacks of 490 00:25:23,760 --> 00:25:27,040 Speaker 1: dead children at their skulls, right exactly. 491 00:25:27,920 --> 00:25:30,920 Speaker 5: Many schools in heavily democratic area stayed closed for almost 492 00:25:30,960 --> 00:25:32,760 Speaker 5: a year from the spring of twenty twenty to the 493 00:25:32,760 --> 00:25:34,359 Speaker 5: spring of twenty twenty one, or longer. 494 00:25:34,440 --> 00:25:39,200 Speaker 1: It was longer than that around here, or kel Unicornia. Yeah. 495 00:25:39,280 --> 00:25:43,400 Speaker 5: In some Republican areas, by contrast, schools remain closed only 496 00:25:43,440 --> 00:25:46,000 Speaker 5: for the spring of twenty twenty and opened right up. 497 00:25:46,640 --> 00:25:50,000 Speaker 5: And this helps explain a partisan gap in learning loss. 498 00:25:50,320 --> 00:25:53,280 Speaker 1: How you get in the specific status. I can't believe 499 00:25:53,359 --> 00:25:58,479 Speaker 1: this wasn't more fairly reported on or discussed or whatever. 500 00:25:58,560 --> 00:26:00,480 Speaker 1: I use this example all the time because I got 501 00:26:00,480 --> 00:26:03,479 Speaker 1: it in my own life. I got two schools seven 502 00:26:03,560 --> 00:26:07,080 Speaker 1: miles apart, the public school and the private school. My 503 00:26:07,160 --> 00:26:10,360 Speaker 1: son's now in. The private school barely shut down at all. 504 00:26:10,760 --> 00:26:13,080 Speaker 1: The public school was closed for like two years. And 505 00:26:13,119 --> 00:26:16,960 Speaker 1: there were not I was joking. There were not stacks 506 00:26:16,960 --> 00:26:20,600 Speaker 1: of dead children everywhere, nor teachers. No, nor teachers. The 507 00:26:20,640 --> 00:26:24,359 Speaker 1: private school was fine. Now, how do you explain that 508 00:26:25,160 --> 00:26:27,600 Speaker 1: teachers union public schools. How do you explain that that 509 00:26:27,760 --> 00:26:29,920 Speaker 1: school's open over there, and it's not like they got 510 00:26:30,000 --> 00:26:32,879 Speaker 1: tons extra money for some sort of special ventilation or 511 00:26:32,920 --> 00:26:34,920 Speaker 1: something like that. What a joke. 512 00:26:35,640 --> 00:26:38,119 Speaker 5: Randy Weingarten, the head of the big teachers Union, who 513 00:26:38,240 --> 00:26:40,520 Speaker 5: is a demon from hell sent to punish us for 514 00:26:40,680 --> 00:26:43,840 Speaker 5: our sins, used it like other unions did, as leverage. 515 00:26:44,080 --> 00:26:45,800 Speaker 5: You want the kids back in. I can tell you 516 00:26:45,840 --> 00:26:47,680 Speaker 5: really really want the kids back in. You got to 517 00:26:47,680 --> 00:26:49,560 Speaker 5: give us more money. You got to give us more 518 00:26:49,600 --> 00:26:51,240 Speaker 5: of this, You got to give us more of that. No, 519 00:26:51,640 --> 00:26:52,640 Speaker 5: and the kids stay home. 520 00:26:52,840 --> 00:26:55,719 Speaker 1: I fully believe she was doing that and knew that, 521 00:26:55,800 --> 00:26:57,960 Speaker 1: And I honestly don't know how she sleeps at night. 522 00:26:58,040 --> 00:27:01,000 Speaker 1: I don't because she has no concerence. Monster, You are 523 00:27:01,080 --> 00:27:03,840 Speaker 1: a monster. You certainly don't care about children. I mean, 524 00:27:03,920 --> 00:27:06,840 Speaker 1: you're beyond not caring about them. You're fine with them 525 00:27:06,840 --> 00:27:09,400 Speaker 1: having awful lives if you can have more power. You're 526 00:27:09,400 --> 00:27:10,760 Speaker 1: a disgusting human being. 527 00:27:10,960 --> 00:27:13,879 Speaker 5: But you know what she's like, yah Ya Sinlar of 528 00:27:13,920 --> 00:27:17,440 Speaker 5: Hamas she cares in children insomuch as they are leverage, 529 00:27:17,960 --> 00:27:21,520 Speaker 5: just like Sinwar and Jimaski's about Palestinian citizens. 530 00:27:21,520 --> 00:27:23,720 Speaker 1: I put it to their deaths are leverage. Yeah, I 531 00:27:23,760 --> 00:27:26,399 Speaker 1: put her in that category, but I know plenty of 532 00:27:26,440 --> 00:27:29,840 Speaker 1: teachers that that's not what their angle was. They believed 533 00:27:29,880 --> 00:27:33,399 Speaker 1: the whole it was too dangerous to have schools open 534 00:27:33,440 --> 00:27:34,159 Speaker 1: thing for summer. 535 00:27:34,240 --> 00:27:37,320 Speaker 5: Yeah yeah, because Trump said it was good to open them. 536 00:27:37,359 --> 00:27:41,520 Speaker 5: The left went crazy explaining how incredibly unwise that would be. 537 00:27:42,440 --> 00:27:44,119 Speaker 5: There's so many things I want to talk about and 538 00:27:44,200 --> 00:27:45,720 Speaker 5: information I have in front of me, but I'm going 539 00:27:45,800 --> 00:27:49,840 Speaker 5: to narrow it down for the interest of time and 540 00:27:50,080 --> 00:27:53,560 Speaker 5: if there needed to be more horrifying irony for the 541 00:27:53,560 --> 00:27:58,600 Speaker 5: political left. All kids were hurt pretty badly. Poor kids 542 00:27:58,720 --> 00:28:04,080 Speaker 5: were just deamated, and there bounce back time even worse. 543 00:28:04,200 --> 00:28:06,159 Speaker 1: Sure, we talked about that during the time this is 544 00:28:06,200 --> 00:28:10,359 Speaker 1: the least progressive thing you could possibly do, because guess what, 545 00:28:10,560 --> 00:28:14,040 Speaker 1: I hired a tutor for my kid. If you can't 546 00:28:14,359 --> 00:28:19,719 Speaker 1: for whatever reason, you're in worse shape. So you're standing 547 00:28:19,800 --> 00:28:22,080 Speaker 1: up for the down drodden, are you? 548 00:28:22,080 --> 00:28:22,280 Speaker 2: You know? 549 00:28:22,320 --> 00:28:23,560 Speaker 5: The last thing I want to squeeze in, and I 550 00:28:23,560 --> 00:28:24,879 Speaker 5: wish we had a little more time. Maybe we can 551 00:28:24,920 --> 00:28:26,840 Speaker 5: do it after the break. But we got a great 552 00:28:26,920 --> 00:28:30,480 Speaker 5: note from a teacher who pointed out a handful of things. 553 00:28:30,560 --> 00:28:32,960 Speaker 5: He said, First of all, he agrees there isn't one 554 00:28:32,960 --> 00:28:35,320 Speaker 5: single cause, and he agrees with many many of the 555 00:28:35,320 --> 00:28:37,800 Speaker 5: things we've said about education. But he also wants to 556 00:28:37,800 --> 00:28:41,040 Speaker 5: point out that the nature of the tests has changed 557 00:28:41,080 --> 00:28:44,160 Speaker 5: a good deal. So to compare scores from like the 558 00:28:44,200 --> 00:28:47,240 Speaker 5: seventies and eighties to today is not apples to apples, 559 00:28:48,680 --> 00:28:51,440 Speaker 5: So it's misleading in its own way. I found it 560 00:28:51,520 --> 00:28:54,240 Speaker 5: really interesting, and again, maybe we can get into it 561 00:28:54,240 --> 00:28:54,760 Speaker 5: in detail. 562 00:28:54,800 --> 00:28:55,720 Speaker 1: I don't know our four. 563 00:28:56,240 --> 00:28:58,719 Speaker 5: But he also says that being said, test scores are 564 00:28:58,720 --> 00:29:01,560 Speaker 5: bad and the following has made this situation worse. Increase 565 00:29:01,640 --> 00:29:06,160 Speaker 5: in second language students, increase in chaotic homes, the rise 566 00:29:06,200 --> 00:29:10,560 Speaker 5: in technological distractions, a decrease in attention spans, children read 567 00:29:10,680 --> 00:29:15,120 Speaker 5: less on their own, increased absenteeism, culture changes, and yes, 568 00:29:15,280 --> 00:29:18,520 Speaker 5: Joe woke ass up with trans diversity, this, that and 569 00:29:18,560 --> 00:29:20,600 Speaker 5: the other thing taking time and attention. 570 00:29:22,840 --> 00:29:24,840 Speaker 1: And also well, I don't want to go down this 571 00:29:24,960 --> 00:29:31,800 Speaker 1: road some other day about spending on schools then versus now. 572 00:29:32,160 --> 00:29:35,959 Speaker 5: Oh, and the one hundred and twenty seven or three 573 00:29:36,080 --> 00:29:39,720 Speaker 5: hundred percent increase in administration was opposed to students. 574 00:29:40,280 --> 00:29:42,920 Speaker 1: Like one example, every school when I was a kid 575 00:29:43,000 --> 00:29:44,640 Speaker 1: used to have these band uniforms that had to be 576 00:29:44,640 --> 00:29:47,720 Speaker 1: incredibly expensive. Schools can't do that now. There's just no 577 00:29:47,800 --> 00:29:50,800 Speaker 1: money for that. Where art they have music classes at all. 578 00:29:50,880 --> 00:29:53,200 Speaker 1: If you have music classes or art classes at all, 579 00:29:53,440 --> 00:29:55,080 Speaker 1: And we had those, and we had plenty of art 580 00:29:55,080 --> 00:29:57,360 Speaker 1: supplies and bank uniforms and all this different sort of stuff, 581 00:29:57,480 --> 00:30:00,440 Speaker 1: And then you got the whole every girl's straight a 582 00:30:00,600 --> 00:30:05,240 Speaker 1: student thing that goes on now that didn't use the harpanslation. Yeah. 583 00:30:05,320 --> 00:30:09,120 Speaker 5: Anyway, Dave signs off from Swine's teat Nevada. 584 00:30:09,600 --> 00:30:11,560 Speaker 1: I have traveled the highways and. 585 00:30:11,560 --> 00:30:13,800 Speaker 5: Byways of the fair state of Nevada, Dave, and I 586 00:30:13,800 --> 00:30:16,640 Speaker 5: have not found myself yet in the charming burg of 587 00:30:16,720 --> 00:30:17,440 Speaker 5: Swine's teeth. 588 00:30:17,520 --> 00:30:19,000 Speaker 1: But I hope and you hope to see it and 589 00:30:19,120 --> 00:30:22,000 Speaker 1: its citizens sometimes in suburb of Elco. 590 00:30:23,240 --> 00:30:27,840 Speaker 5: Okay or Eli beautiful Lily Eely is beautiful this time 591 00:30:27,840 --> 00:30:28,160 Speaker 5: of year. 592 00:30:30,200 --> 00:30:32,080 Speaker 1: Yeah, oh man, that story gets me so worked up 593 00:30:32,080 --> 00:30:33,640 Speaker 1: and so mad because I had kids, I mean right 594 00:30:33,680 --> 00:30:35,400 Speaker 1: in the thick of it during the whole thing. Oh. 595 00:30:36,000 --> 00:30:39,160 Speaker 1: I know, I'll be resentful about that the rest of 596 00:30:39,160 --> 00:30:43,680 Speaker 1: my life. Derangement syndrome, no doubt. Chelsea Gabbard, have the 597 00:30:43,760 --> 00:30:47,120 Speaker 1: votes come in? News Nation says they're in and she's confirmed. 598 00:30:47,240 --> 00:30:49,880 Speaker 1: Nobody else is reporting that, but they will be voting 599 00:30:49,920 --> 00:30:51,120 Speaker 1: soon and won't let you know. Stay here. 600 00:30:54,920 --> 00:30:58,280 Speaker 8: Lakers gave out nineteen thousand, number seventy seven T shirts 601 00:30:58,320 --> 00:31:01,360 Speaker 8: to celebrate the arrival of Luke Dauncic. You could see 602 00:31:01,560 --> 00:31:05,160 Speaker 8: the chemistry between Luca and Lebron right off the bat. 603 00:31:05,280 --> 00:31:06,800 Speaker 2: Luca got a huge La. 604 00:31:06,760 --> 00:31:08,600 Speaker 8: Welcome in front of a sold out crowd. 605 00:31:08,640 --> 00:31:09,400 Speaker 1: It was a big night. 606 00:31:09,560 --> 00:31:11,920 Speaker 8: Nobody knows why the Mavericks made this trade. One of 607 00:31:11,920 --> 00:31:14,160 Speaker 8: the storylines is that it was because of his weight. 608 00:31:14,440 --> 00:31:17,440 Speaker 8: Mavericks had concerned about his conditioning, whereas the fans in 609 00:31:17,520 --> 00:31:18,640 Speaker 8: Dallas do not. 610 00:31:21,800 --> 00:31:32,400 Speaker 2: Right, thank you, I guess have you turning on the TV. 611 00:31:32,320 --> 00:31:35,240 Speaker 8: See a bunch of people chanting he's not fat. The 612 00:31:35,280 --> 00:31:37,600 Speaker 8: first thing you think is I must be fat, I guess, 613 00:31:38,600 --> 00:31:39,160 Speaker 8: but don't worry. 614 00:31:39,160 --> 00:31:39,680 Speaker 2: This is LA. 615 00:31:39,800 --> 00:31:41,800 Speaker 8: We do not allow fat here. We will get some 616 00:31:41,880 --> 00:31:44,160 Speaker 8: ozepic into your gatorade. You will fit in. 617 00:31:44,560 --> 00:31:46,600 Speaker 2: Look what we did to John Goodman, we can do 618 00:31:46,680 --> 00:31:47,080 Speaker 2: that to you. 619 00:31:48,320 --> 00:31:49,760 Speaker 1: Wow, that's funny. 620 00:31:50,000 --> 00:31:53,560 Speaker 5: Break Kimmel isn't being obnoxious, he's hilarious bringing. 621 00:31:53,360 --> 00:31:57,280 Speaker 1: Back he's not fat. That's one of the strangest high 622 00:31:57,400 --> 00:32:01,080 Speaker 1: level trades that I can remember in pro sports history. 623 00:32:01,760 --> 00:32:04,680 Speaker 5: Right, given this brock for what's his name back in 624 00:32:04,720 --> 00:32:06,080 Speaker 5: the sixties. 625 00:32:07,280 --> 00:32:12,280 Speaker 1: But completely a surprise to the players. Yeah what now? Anyway, 626 00:32:12,480 --> 00:32:15,479 Speaker 1: the breaking news, Tulsea Gobert has been confirmed. She is 627 00:32:15,600 --> 00:32:18,840 Speaker 1: your Director of National Intelligence and has been confirmed fifty 628 00:32:18,880 --> 00:32:22,800 Speaker 1: to forty eight, with only Mitch McConnell joining the Democrats 629 00:32:22,800 --> 00:32:26,280 Speaker 1: in opposition. So there you go, party line vote plus 630 00:32:26,320 --> 00:32:29,600 Speaker 1: Mitch McConnell. Just have to see that how it goes. 631 00:32:29,720 --> 00:32:31,920 Speaker 5: So if I ever leave the show, which is unlikely, 632 00:32:31,960 --> 00:32:34,960 Speaker 5: I sure hope the folks will rally outside the radio 633 00:32:35,120 --> 00:32:37,440 Speaker 5: ranch and chant to bring him back. He's not fat. 634 00:32:37,920 --> 00:32:41,080 Speaker 5: On my behalf, because that would be an honor Katie Green. 635 00:32:41,160 --> 00:32:43,160 Speaker 5: What what should we know about what we're about to play? 636 00:32:43,440 --> 00:32:46,200 Speaker 9: So I was scrolling through TikTok and this popped up 637 00:32:46,240 --> 00:32:48,800 Speaker 9: on my for you page, and the visual of this, 638 00:32:48,880 --> 00:32:51,640 Speaker 9: it's a woman filming it. Her husband is driving and 639 00:32:51,680 --> 00:32:54,680 Speaker 9: he has headphones in and she's clearly talking at him, 640 00:32:54,720 --> 00:32:56,120 Speaker 9: but he cannot hear her. 641 00:32:56,760 --> 00:32:58,200 Speaker 10: And this is how it goes down. 642 00:33:00,000 --> 00:33:02,400 Speaker 6: I thinks I talk too much. I can't get a 643 00:33:02,400 --> 00:33:04,320 Speaker 6: word in edge wise when I'm talking. 644 00:33:04,000 --> 00:33:04,600 Speaker 2: To my girls. 645 00:33:05,360 --> 00:33:08,320 Speaker 6: But we're on a road trip in a confined space, 646 00:33:08,920 --> 00:33:11,200 Speaker 6: and he's got your buds in listening to Armstrong and 647 00:33:11,240 --> 00:33:12,760 Speaker 6: Goody yeah. 648 00:33:14,680 --> 00:33:18,360 Speaker 1: Good Man. 649 00:33:19,160 --> 00:33:19,800 Speaker 2: Yeah he can't. 650 00:33:19,880 --> 00:33:21,720 Speaker 9: He says he can't get a word in edgewise, and 651 00:33:21,760 --> 00:33:23,360 Speaker 9: he's sitting there. He doesn't hear a thing she's saying 652 00:33:23,400 --> 00:33:24,640 Speaker 9: because he's listening to you guys. 653 00:33:25,720 --> 00:33:27,920 Speaker 5: That's funny we made TikTok. I hope she j In 654 00:33:28,040 --> 00:33:31,760 Speaker 5: Ping doesn't purge that clip because it mentions the flaming 655 00:33:31,800 --> 00:33:33,720 Speaker 5: anti communists arm Strong and Getty. 656 00:33:34,760 --> 00:33:38,120 Speaker 1: Uh. I, So you have TikTok on your phone or 657 00:33:38,160 --> 00:33:41,400 Speaker 1: what you Yeah? How much do you enjoy it? 658 00:33:41,400 --> 00:33:44,920 Speaker 10: It's it's okay. I mean the algorithms. 659 00:33:45,200 --> 00:33:48,000 Speaker 9: Definitely, it catches my attention, but I try to, you know, 660 00:33:48,440 --> 00:33:50,400 Speaker 9: not use it as much because the China thing. 661 00:33:50,560 --> 00:33:52,240 Speaker 1: I wish I could do it. I mean I would 662 00:33:52,280 --> 00:33:54,160 Speaker 1: like to. I would like to, but I'm not going to. 663 00:33:54,280 --> 00:33:56,360 Speaker 10: There's a lot of obnoxious crap on there. 664 00:33:56,400 --> 00:34:00,360 Speaker 9: But somehow that algorithm put that video on my phone yesterday. 665 00:34:00,400 --> 00:34:00,960 Speaker 5: Wow. 666 00:34:01,200 --> 00:34:06,200 Speaker 1: Don't trust China. So it knows where you work it probably, 667 00:34:06,400 --> 00:34:11,320 Speaker 1: or just knows what radio show has beloved coast to coast. 668 00:34:11,120 --> 00:34:14,000 Speaker 9: Yeah, or it hears it through my phone when I'm 669 00:34:14,040 --> 00:34:15,560 Speaker 9: on with you guys every day. 670 00:34:15,640 --> 00:34:17,880 Speaker 10: I'm not sure, but I thought that was hilarious. 671 00:34:18,239 --> 00:34:22,760 Speaker 1: That is funny, funny. Bring him back, he's not fat. 672 00:34:23,480 --> 00:34:29,439 Speaker 1: That's a good chance. Oh boy. So we do four 673 00:34:29,440 --> 00:34:32,560 Speaker 1: hours every day day and if you don't get every hour, 674 00:34:32,640 --> 00:34:34,840 Speaker 1: every segment, you should find our podcast Armstrong and Getty 675 00:34:34,880 --> 00:34:36,640 Speaker 1: on demand, for instance, what We're gonna do an hour 676 00:34:36,719 --> 00:34:43,480 Speaker 1: four The best example maybe yet of a bloated, slow 677 00:34:43,800 --> 00:34:48,759 Speaker 1: bureaucracy resistant to change that Elon laid out in the 678 00:34:48,800 --> 00:34:52,640 Speaker 1: Oval Office yesterday with Trump. I mean, it's hilarious. You 679 00:34:52,719 --> 00:34:55,160 Speaker 1: can't believe it's true. Elon couldn't believe it's true. But 680 00:34:55,160 --> 00:34:56,759 Speaker 1: it is true, and we'll have that an hour for 681 00:34:57,480 --> 00:34:58,759 Speaker 1: could not love it more. 682 00:34:58,800 --> 00:35:01,800 Speaker 5: And with all the ridiculous stories that are elevated and 683 00:35:01,840 --> 00:35:04,200 Speaker 5: we're all supposed to yell at each other about and 684 00:35:04,239 --> 00:35:07,040 Speaker 5: care about that, two days later you don't even remember 685 00:35:07,040 --> 00:35:12,320 Speaker 5: what they were. Reining in spending balancing the federal books 686 00:35:12,440 --> 00:35:15,040 Speaker 5: is the most important story we could possibly talk about. 687 00:35:15,160 --> 00:35:17,560 Speaker 1: Yeah, and creating a different culture where people care about 688 00:35:17,560 --> 00:35:20,600 Speaker 1: your dollars. Armstrong and Getty