1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,840 Speaker 1: Washington Broadcast Center. Jack Armstrong is Joe, Ketty Armstrong and 3 00:00:11,000 --> 00:00:25,680 Speaker 1: Jetty and he Armstrong and Yeddy Oh Foreman connected. I 4 00:00:25,760 --> 00:00:30,320 Speaker 1: think he hurt. Joe Fraser down, Goes Frasier, down, Goes 5 00:00:30,400 --> 00:00:35,919 Speaker 1: Frasia down, Goes Fraser. Foreman is all over. Joe Fraser, 6 00:00:36,159 --> 00:00:40,720 Speaker 1: Frasier is down again. J Dundea is screaming, stopping. It 7 00:00:40,800 --> 00:00:43,560 Speaker 1: is over. It is over in the second round. 8 00:00:44,920 --> 00:00:47,760 Speaker 2: George Foreman becoming heavyweight champion of the world back in 9 00:00:47,800 --> 00:00:51,240 Speaker 2: what year was that seventy three something like that, something 10 00:00:51,360 --> 00:00:55,120 Speaker 2: like that, Yeah, and Howard Cosell making the call. George 11 00:00:55,120 --> 00:00:57,840 Speaker 2: Foreman died over the weekend. The reason we're playing that 12 00:00:58,240 --> 00:01:00,320 Speaker 2: if you don't know boxing, you know him from the grill. 13 00:01:00,600 --> 00:01:03,600 Speaker 2: The George Foreman grill turned it into a gazillion dollar empire. 14 00:01:04,040 --> 00:01:06,880 Speaker 1: I was just gonna ask Michael to repeat his touching 15 00:01:06,920 --> 00:01:11,080 Speaker 1: and thorough What do you call it biography? No, it's 16 00:01:11,160 --> 00:01:15,360 Speaker 1: an autography. No, when you guys ulig, no, that's not 17 00:01:15,480 --> 00:01:20,160 Speaker 1: it either. Anyway, you're you're touching. Preview tribute to George Foreman, 18 00:01:20,319 --> 00:01:23,959 Speaker 1: Michael Great Boxer and a better grilled salesman. Yeah, he's 19 00:01:24,000 --> 00:01:25,440 Speaker 1: looking at me like, what are you talking at? What 20 00:01:25,520 --> 00:01:28,560 Speaker 1: you want to hear? Click twelve? Sure it's really good. Yeah. 21 00:01:28,600 --> 00:01:30,280 Speaker 3: A friend of mine, I said, jeege, you're making all 22 00:01:30,280 --> 00:01:33,120 Speaker 3: these other companies wealthy. Why don't you get your own product? 23 00:01:33,160 --> 00:01:35,920 Speaker 3: And we looked around and found the grill. No one 24 00:01:36,000 --> 00:01:37,880 Speaker 3: wanted to be bothered with it at all. They had 25 00:01:38,000 --> 00:01:40,520 Speaker 3: names for it, joked for it, and the grease really 26 00:01:40,600 --> 00:01:43,520 Speaker 3: rolled off, and they still tender. I hated it. I said, boy, 27 00:01:43,600 --> 00:01:45,840 Speaker 3: let's do it. But I never expected it to be 28 00:01:45,959 --> 00:01:48,120 Speaker 3: so successful. And then all of a sudden, the checks 29 00:01:48,200 --> 00:01:52,160 Speaker 3: just started rolling in. This thing sold over one hundred million. 30 00:01:53,400 --> 00:01:58,360 Speaker 1: He told obituary. That's the world is a hundred million. 31 00:01:58,840 --> 00:01:59,920 Speaker 1: George Forman grills. 32 00:02:00,640 --> 00:02:01,000 Speaker 4: Wow. 33 00:02:02,520 --> 00:02:06,080 Speaker 1: You know, such an interesting guy making seventy six is 34 00:02:06,080 --> 00:02:09,080 Speaker 1: that right? Having made your living getting punched in the 35 00:02:09,120 --> 00:02:12,320 Speaker 1: head for a number of years is pretty impressive. But 36 00:02:12,560 --> 00:02:18,680 Speaker 1: he had such a cheerful attitude about life once he 37 00:02:18,760 --> 00:02:20,960 Speaker 1: made the Christian turn. Before that, he did not. 38 00:02:21,040 --> 00:02:23,720 Speaker 2: I don't know if you've ever watched the documentary When 39 00:02:23,760 --> 00:02:26,600 Speaker 2: We Were Kings, which won an Oscar Fantastic Movie. If 40 00:02:26,600 --> 00:02:29,040 Speaker 2: you like the whole thing. It's all about Foreman and 41 00:02:29,080 --> 00:02:32,960 Speaker 2: Ali and that particular fight. But George Foreman was a 42 00:02:33,120 --> 00:02:37,440 Speaker 2: bad person and an angry person with never a smile 43 00:02:37,480 --> 00:02:40,760 Speaker 2: on his face up until the point that he found 44 00:02:40,880 --> 00:02:44,400 Speaker 2: Jesus in a locker room and became a completely different 45 00:02:44,480 --> 00:02:46,960 Speaker 2: human being, which is its own amazing story. 46 00:02:47,720 --> 00:02:51,040 Speaker 1: Yeah, yeah, indeed. Yeah. Boy, if you're old enough to 47 00:02:51,080 --> 00:02:53,440 Speaker 1: remember the heyday of boxing in the early seventies, when 48 00:02:53,440 --> 00:02:57,359 Speaker 1: it was Foreman, Nali and Frasier trading the crown back 49 00:02:57,400 --> 00:03:02,160 Speaker 1: and forth and just great fights. Remember because when George 50 00:03:02,160 --> 00:03:05,720 Speaker 1: Foreman knocked up George Joe Fraser there to become the 51 00:03:05,720 --> 00:03:07,480 Speaker 1: heavyweight champion of the world, it was such a big 52 00:03:07,480 --> 00:03:09,720 Speaker 1: deal at that time. I remember asking my mom before 53 00:03:09,760 --> 00:03:11,480 Speaker 1: I left the house to get on the bus one 54 00:03:11,480 --> 00:03:13,320 Speaker 1: more time, what is the name? Because I needed to 55 00:03:13,400 --> 00:03:16,120 Speaker 1: know the name of who the new heavyweight champion of 56 00:03:16,160 --> 00:03:17,639 Speaker 1: the world was to be. You know, part of the 57 00:03:17,680 --> 00:03:19,440 Speaker 1: cool crowd is like an eight year old or whatever, 58 00:03:19,680 --> 00:03:22,639 Speaker 1: because that's just something you had to know. Can you 59 00:03:22,680 --> 00:03:25,440 Speaker 1: imagine that these no, no, no, my kids, you got 60 00:03:25,440 --> 00:03:29,280 Speaker 1: to know mister Beast's latest count just to giveaway, right, 61 00:03:30,560 --> 00:03:33,519 Speaker 1: A couple of Chris Foreman could have whooped mister Beast's ass, by. 62 00:03:33,400 --> 00:03:38,160 Speaker 2: The way, even in his forties, because George Foreman came 63 00:03:38,160 --> 00:03:40,040 Speaker 2: back and won the heavyweight title again when he was 64 00:03:40,120 --> 00:03:44,600 Speaker 2: forty four or something like fairly. 65 00:03:44,040 --> 00:03:46,680 Speaker 1: Sad fight, as I recall, and he took a lot 66 00:03:46,680 --> 00:03:47,200 Speaker 1: of punches. 67 00:03:49,320 --> 00:03:50,600 Speaker 2: So a couple of things I want to get to 68 00:03:50,760 --> 00:03:52,920 Speaker 2: later that have nothing to do with politics before I 69 00:03:53,000 --> 00:03:56,960 Speaker 2: launch into this political pulling. I listened to a podcast 70 00:03:57,160 --> 00:04:00,760 Speaker 2: about from an astrophysicist about life and space and that 71 00:04:00,800 --> 00:04:03,120 Speaker 2: sort of stuff that was so flippant interesting, and I 72 00:04:03,160 --> 00:04:04,240 Speaker 2: learned a bunch of things I didn't know. 73 00:04:04,280 --> 00:04:06,440 Speaker 1: I want to talk about that later. And then this. 74 00:04:08,400 --> 00:04:13,080 Speaker 2: A person I know, Boy, I gotta be really vague. 75 00:04:13,080 --> 00:04:14,880 Speaker 2: I don't want to get them in trouble because this 76 00:04:14,920 --> 00:04:18,239 Speaker 2: is not particularly cool. I got a bunch of screen 77 00:04:18,360 --> 00:04:27,039 Speaker 2: captures of a group conversation online from women who are 78 00:04:27,160 --> 00:04:35,520 Speaker 2: using AI as therapists, and particularly advice on how to 79 00:04:35,560 --> 00:04:38,320 Speaker 2: talk to their husband about various things like in an 80 00:04:38,400 --> 00:04:41,520 Speaker 2: argument like, HEYI my husband said this, what should I say? 81 00:04:41,880 --> 00:04:43,640 Speaker 2: And then the AI lays it out for him, and 82 00:04:43,680 --> 00:04:46,240 Speaker 2: then they go tell their husband that now is. 83 00:04:46,200 --> 00:04:47,800 Speaker 1: This a good thing or a bad thing? 84 00:04:47,960 --> 00:04:51,000 Speaker 2: Or a weird thing, because to me, obviously the weird 85 00:04:51,000 --> 00:04:53,720 Speaker 2: thing is what if your husband's asking AI it's powder 86 00:04:53,800 --> 00:04:56,640 Speaker 2: respond of this, and it's really just two computers talking 87 00:04:56,720 --> 00:04:59,680 Speaker 2: each other, and you're like barely. 88 00:04:59,600 --> 00:05:04,279 Speaker 1: Fall I don't know. It's like you're watching the show 89 00:05:04,520 --> 00:05:07,240 Speaker 1: or reading a column, an advice column, and you kind 90 00:05:07,279 --> 00:05:11,560 Speaker 1: of recognize yourself. Then it's all about the you know, 91 00:05:11,600 --> 00:05:19,600 Speaker 1: the output. How's the advice? Well, who knows? Who knows? Well? 92 00:05:19,880 --> 00:05:22,800 Speaker 1: You look at some of the hallucinations the AI has 93 00:05:22,839 --> 00:05:25,200 Speaker 1: these days, or inventing court cases. I guess that is 94 00:05:25,200 --> 00:05:28,600 Speaker 1: a hallucination or or my god, some of the stories 95 00:05:28,600 --> 00:05:33,520 Speaker 1: we've heard about teenagers who have had quote unquote relationships 96 00:05:33,560 --> 00:05:37,080 Speaker 1: with some AI somewhere that's like told them, you know, 97 00:05:37,200 --> 00:05:39,920 Speaker 1: some teams your age cut themselves to show people that 98 00:05:39,960 --> 00:05:43,839 Speaker 1: they're not happy. So, I mean the women terrible advice. 99 00:05:44,000 --> 00:05:46,200 Speaker 2: These women are talking about the great comfort they get, 100 00:05:46,240 --> 00:05:47,440 Speaker 2: you know, and they have had a rough day to 101 00:05:47,480 --> 00:05:49,760 Speaker 2: talk to their AI therapist and it just feels like, 102 00:05:49,800 --> 00:05:53,800 Speaker 2: you know, the AI really listens and. 103 00:05:52,640 --> 00:05:54,039 Speaker 1: And that's what they like talking. 104 00:05:54,320 --> 00:05:59,000 Speaker 2: I think we're going down a really weird fricking road. Man, Yeah, 105 00:06:00,160 --> 00:06:02,440 Speaker 2: happened to an extent. I didn't realize that's what That's 106 00:06:02,440 --> 00:06:05,000 Speaker 2: what I got from reading all these messages. It's already 107 00:06:05,040 --> 00:06:08,440 Speaker 2: going on. It's I've been presenting it as you know, 108 00:06:08,480 --> 00:06:11,080 Speaker 2: in the future. People might no, no, no, it's already happening 109 00:06:11,360 --> 00:06:15,120 Speaker 2: way more than I realized. Yeah, oh yeah, yeah, these 110 00:06:15,160 --> 00:06:18,320 Speaker 2: are like very regular assault of the earth, normal people 111 00:06:18,400 --> 00:06:19,000 Speaker 2: type people. 112 00:06:19,080 --> 00:06:22,480 Speaker 1: Not this isn't yeah weirdos and work at a university 113 00:06:22,560 --> 00:06:25,520 Speaker 1: or something. Yeah. I'm fully on board and pretty aware 114 00:06:25,560 --> 00:06:28,280 Speaker 1: of how sideways this sort of thing can go these days. 115 00:06:28,360 --> 00:06:30,799 Speaker 1: Especially at the same time though, I mean, I'm picturing 116 00:06:30,960 --> 00:06:33,520 Speaker 1: like I'll just use my wife, who's who's retired at 117 00:06:33,520 --> 00:06:37,440 Speaker 1: this point, but and and living off of my large 118 00:06:37,480 --> 00:06:43,120 Speaker 1: ass the way anyway, like a lifestyle to which she's 119 00:06:43,200 --> 00:06:45,800 Speaker 1: become accustomed. Do you think it's okay that she's living 120 00:06:45,839 --> 00:06:49,800 Speaker 1: off my large s ai? So anyway, But you know, 121 00:06:49,960 --> 00:06:51,440 Speaker 1: there may have been a time or two in her 122 00:06:51,440 --> 00:06:54,479 Speaker 1: past where she had a really challenging coworker, for instance, 123 00:06:55,080 --> 00:06:57,000 Speaker 1: I mean just kind of a pain in the arse, 124 00:06:57,040 --> 00:06:59,919 Speaker 1: and would come home and she'd ask her ai oh 125 00:07:00,080 --> 00:07:07,040 Speaker 1: ai advice column thingy counselor deally my coworkers, you know, 126 00:07:07,600 --> 00:07:10,520 Speaker 1: very bitchy and negative all the time, and blah blah blah. 127 00:07:10,520 --> 00:07:13,800 Speaker 1: How should I deal with it? I could see getting 128 00:07:13,880 --> 00:07:17,720 Speaker 1: some decent advice about how to navigate through that sort 129 00:07:17,720 --> 00:07:20,360 Speaker 1: of thing. I am not okay with this at all. 130 00:07:20,400 --> 00:07:22,520 Speaker 2: I'm surprised you are, and maybe you're right, but I 131 00:07:22,520 --> 00:07:25,000 Speaker 2: am not okay with this at all. Taking out the 132 00:07:25,080 --> 00:07:27,040 Speaker 2: human element. I just think it's awful. 133 00:07:27,800 --> 00:07:31,280 Speaker 1: Oh well, hang on now, hang on. I say, there 134 00:07:31,280 --> 00:07:36,679 Speaker 1: are books, there are magazine written by people. Well, AI 135 00:07:36,840 --> 00:07:42,200 Speaker 1: is written by people. It's just chaitterizing those people without 136 00:07:42,280 --> 00:07:45,280 Speaker 1: paying them. Well it can be. 137 00:07:45,400 --> 00:07:50,600 Speaker 2: I mean it's it's theoretically synthesizing everything it has read 138 00:07:51,120 --> 00:07:52,240 Speaker 2: into a coherent answer. 139 00:07:52,280 --> 00:07:54,720 Speaker 1: I'm not saying it's without danger. I just don't think 140 00:07:54,760 --> 00:07:56,800 Speaker 1: it's automatically bad. 141 00:07:59,680 --> 00:08:02,560 Speaker 2: So, well, this is what the AI told one person. 142 00:08:02,600 --> 00:08:06,360 Speaker 2: For instance, you're used to managing his emotions, and now 143 00:08:06,360 --> 00:08:09,560 Speaker 2: that he's upset or at least quiet, it's triggering your guilt. 144 00:08:09,960 --> 00:08:10,520 Speaker 1: But you're right. 145 00:08:10,600 --> 00:08:13,040 Speaker 2: You shouldn't feel guilty. You didn't do anything wrong. You 146 00:08:13,040 --> 00:08:15,560 Speaker 2: were thoughtful in your message, and it's okay to want 147 00:08:15,560 --> 00:08:18,320 Speaker 2: to date yourself after explaining to the AI what went on. 148 00:08:18,800 --> 00:08:22,680 Speaker 1: I just find this very weird. That's getting pretty specific. 149 00:08:22,720 --> 00:08:25,200 Speaker 2: If he chooses to be upset, that's on him. You're 150 00:08:25,200 --> 00:08:27,280 Speaker 2: allowed to take care of yourself, even if it doesn't 151 00:08:27,280 --> 00:08:28,480 Speaker 2: matches unspoken xps. 152 00:08:28,520 --> 00:08:31,800 Speaker 1: Oh, that's getting very very specific. Okay, it's not you know, 153 00:08:31,880 --> 00:08:34,000 Speaker 1: some people have negative energy and it's best to see 154 00:08:34,000 --> 00:08:35,720 Speaker 1: her around them. I mean, that's okay. 155 00:08:35,760 --> 00:08:39,880 Speaker 2: That's like, in this situation which you have described, you're 156 00:08:39,920 --> 00:08:43,680 Speaker 2: the good guy, he's the ahle oh boy, which is well, 157 00:08:43,880 --> 00:08:47,160 Speaker 2: it fits in with therapy. That's what therapists do almost always. 158 00:08:47,200 --> 00:08:49,600 Speaker 2: That's why, like ninety percent of therapy is worthless. That's 159 00:08:49,640 --> 00:08:52,360 Speaker 2: what a therapy does. They co sign your bs a therapist. 160 00:08:52,400 --> 00:08:55,320 Speaker 2: Most of the time, you're you're a write and down 161 00:08:55,360 --> 00:08:57,400 Speaker 2: trodden and they are awful human beings and need to 162 00:08:57,440 --> 00:08:57,959 Speaker 2: adjust to you. 163 00:08:58,160 --> 00:09:00,440 Speaker 1: That's that's what you get almost always from therapy. 164 00:09:00,640 --> 00:09:03,240 Speaker 2: So it's not surprising that AI therapy would be feeding 165 00:09:03,320 --> 00:09:06,840 Speaker 2: people that. But it's just I don't know the companionship, 166 00:09:06,920 --> 00:09:13,280 Speaker 2: the the the leaning on the chat bought for these conversations, 167 00:09:13,320 --> 00:09:16,679 Speaker 2: and at some point you're gonna stop talking to. 168 00:09:16,640 --> 00:09:18,839 Speaker 1: Your friends about it. You can only talk to the 169 00:09:18,880 --> 00:09:22,400 Speaker 1: computer about it. That's the problem. It's the as opposed 170 00:09:22,440 --> 00:09:26,280 Speaker 1: to talking to a friend, calling your mom, you know, 171 00:09:26,720 --> 00:09:30,000 Speaker 1: talking it out with your husband, trying to you know. Yeah, yeah, 172 00:09:30,320 --> 00:09:33,120 Speaker 1: you're right. I'm on board. It's evil. It's horrifying. We 173 00:09:33,120 --> 00:09:34,040 Speaker 1: should be terrified. 174 00:09:34,800 --> 00:09:38,319 Speaker 2: I don't know if evil's the right word. But and 175 00:09:38,480 --> 00:09:41,080 Speaker 2: like I said, it's already happening. I've got many, many 176 00:09:41,120 --> 00:09:46,520 Speaker 2: examples that I was given by someone who just wanted 177 00:09:46,559 --> 00:09:49,240 Speaker 2: to let me know, this is how much it's happening, 178 00:09:49,280 --> 00:09:50,840 Speaker 2: like in my friend group already. 179 00:09:51,400 --> 00:09:54,640 Speaker 1: Wow. Yeah, yeah, you're right. Evil implies intent. I just 180 00:09:54,640 --> 00:10:03,719 Speaker 1: think it's corrosive. Oh so corrosive. Yeah, the tentacles of. 181 00:10:05,400 --> 00:10:08,640 Speaker 2: Especially if AI is going to lean toward you know, 182 00:10:08,840 --> 00:10:13,560 Speaker 2: you're the victim. You definitely want that more than maybe 183 00:10:13,600 --> 00:10:15,120 Speaker 2: if you talk to a friend and says, I don't know, 184 00:10:15,160 --> 00:10:16,439 Speaker 2: it sounds like he's got a good point. 185 00:10:18,320 --> 00:10:22,400 Speaker 1: Yeah, yeah, I as you know, I think of myself 186 00:10:22,440 --> 00:10:28,679 Speaker 1: as an optimistic cynic. I don't I'm a cynical. I'm 187 00:10:28,720 --> 00:10:32,400 Speaker 1: a nihilist cynic. Wow. Wow, how pleasant to be around. 188 00:10:33,640 --> 00:10:38,600 Speaker 1: I would I need to see a serious inflection point 189 00:10:38,760 --> 00:10:42,079 Speaker 1: or I do believe humanity is on the path to 190 00:10:43,559 --> 00:10:48,120 Speaker 1: giant drops in population, huge change in the trajectory of 191 00:10:48,240 --> 00:10:51,720 Speaker 1: human occupation of the earth. We are not getting together 192 00:10:51,760 --> 00:10:53,880 Speaker 1: with our friends, we are not getting together with lovers, 193 00:10:54,080 --> 00:10:57,040 Speaker 1: we are not making babies, we are not forming families. 194 00:10:57,400 --> 00:11:00,160 Speaker 1: AI could be about to put a zillion piece a 195 00:11:00,160 --> 00:11:03,439 Speaker 1: lot of work, or reduce, certainly the need for them 196 00:11:03,480 --> 00:11:05,680 Speaker 1: to be around. I just it. 197 00:11:05,600 --> 00:11:09,320 Speaker 2: Feels very, very funky to me. Very many teenage sea changes. 198 00:11:09,640 --> 00:11:13,040 Speaker 2: How many teenage girls. Teenage boys too, but girls more 199 00:11:13,120 --> 00:11:16,200 Speaker 2: prone to this than boys. I think are gonna type 200 00:11:16,200 --> 00:11:18,079 Speaker 2: into the AI chat. Bought it that my mom told 201 00:11:18,120 --> 00:11:19,880 Speaker 2: me I can't this, do this and that. What do 202 00:11:19,960 --> 00:11:26,760 Speaker 2: you think I think your mom is being overly protective? Yeah, yeah, 203 00:11:26,760 --> 00:11:34,640 Speaker 2: well ye eh. No country for old men, glad. I'm 204 00:11:34,640 --> 00:11:36,200 Speaker 2: i I wish I was eighty. I wish I was 205 00:11:36,200 --> 00:11:38,160 Speaker 2: on death's door. I don't think I can handle the 206 00:11:38,200 --> 00:11:38,760 Speaker 2: modern world. 207 00:11:39,880 --> 00:11:42,600 Speaker 1: Michael. When mankind dies out, what do you think I've 208 00:11:42,679 --> 00:11:45,480 Speaker 1: always tended to think it'll be a planet of the beavers, 209 00:11:45,679 --> 00:11:48,400 Speaker 1: the apes in second place, in spite of their better 210 00:11:48,480 --> 00:11:52,079 Speaker 1: pr A planet of the apes and maybe the ants. 211 00:11:52,120 --> 00:11:55,480 Speaker 1: What's your your pick? I'm gonna go with the beavers. Well, 212 00:11:55,720 --> 00:11:58,920 Speaker 1: you like beavers. They're hardworking, they're industrious. 213 00:11:58,480 --> 00:12:03,000 Speaker 2: A non fun, real life, cynical nihilist answer is who 214 00:12:03,040 --> 00:12:05,720 Speaker 2: will take over is the people that populate third world 215 00:12:05,760 --> 00:12:08,280 Speaker 2: countries who aren't doing all this crap and are having 216 00:12:08,360 --> 00:12:11,160 Speaker 2: kids like crazy and are probably fundamentalist Muslims. 217 00:12:11,240 --> 00:12:14,680 Speaker 1: Yes, yes, yes, that's exactly right. I never prefer the beavers, Frank, 218 00:12:14,800 --> 00:12:15,840 Speaker 1: I never got. 219 00:12:15,960 --> 00:12:19,320 Speaker 2: The political polling, which is really really good, among other things. 220 00:12:19,320 --> 00:12:25,200 Speaker 1: On the way, stay here art the President of the 221 00:12:25,280 --> 00:12:28,280 Speaker 1: United States, Donald Trump in attendance tonight at the Wells 222 00:12:28,360 --> 00:12:29,160 Speaker 1: Fargo Center. 223 00:12:39,520 --> 00:12:46,400 Speaker 2: So that's at the NCAA wrestling finals that Donald Trump 224 00:12:46,440 --> 00:12:50,400 Speaker 2: showed up to watch and uh, crowd. 225 00:12:50,200 --> 00:12:52,679 Speaker 1: Pretty excited for him to be there. It would sing, 226 00:12:52,800 --> 00:12:55,240 Speaker 1: I would say, you know those those audio tapes you 227 00:12:55,360 --> 00:12:58,439 Speaker 1: sometimes hear the president was booed and you hear kind 228 00:12:58,440 --> 00:13:00,000 Speaker 1: of said boos and a lot of cheers. Is up. 229 00:13:00,200 --> 00:13:05,040 Speaker 2: No, that was unequivocal in my lifetime in modern politics. 230 00:13:05,080 --> 00:13:07,160 Speaker 2: The only people that have ever gotten chance like that 231 00:13:07,280 --> 00:13:13,200 Speaker 2: Barack Obama, Bernie and Trump. No, never anything close to 232 00:13:13,240 --> 00:13:16,400 Speaker 2: that from anybody else. Bernie on the concert circuit right 233 00:13:16,440 --> 00:13:17,560 Speaker 2: now drawing huge crowds. 234 00:13:17,559 --> 00:13:19,320 Speaker 1: More on that to come for Nard Sanders. 235 00:13:19,840 --> 00:13:22,720 Speaker 2: So this guy Bill mcinturf he's the head polster for 236 00:13:22,840 --> 00:13:25,480 Speaker 2: NBC in Wall Street Journal, which team up for whatever 237 00:13:25,520 --> 00:13:26,280 Speaker 2: reason for polling. 238 00:13:26,360 --> 00:13:29,120 Speaker 1: I'm not exactly sure what that's all about. Anyway. 239 00:13:29,160 --> 00:13:32,520 Speaker 2: This is like his internal on polling that Mark Alprin 240 00:13:32,559 --> 00:13:35,400 Speaker 2: put out today. In less than twenty slides, we cover 241 00:13:35,480 --> 00:13:39,360 Speaker 2: the following major storylines. Bill mcinturf, Right, you don't see 242 00:13:39,360 --> 00:13:41,679 Speaker 2: this every day. What the first slides have in common 243 00:13:41,760 --> 00:13:44,280 Speaker 2: is how unique they are with the surgeon right direction. 244 00:13:45,040 --> 00:13:48,320 Speaker 2: It's the first time the right direction is over forty 245 00:13:48,360 --> 00:13:53,000 Speaker 2: percent and one hundred and forty seven months, So that's 246 00:13:53,240 --> 00:13:56,760 Speaker 2: fourteen one hundred and twenty would be ten years, and 247 00:13:56,760 --> 00:13:58,640 Speaker 2: then he got another twenty seven months for a couple 248 00:13:58,640 --> 00:14:01,840 Speaker 2: more years. So that's a long long time since right 249 00:14:01,840 --> 00:14:03,440 Speaker 2: direction has been over forty percent. 250 00:14:03,720 --> 00:14:05,040 Speaker 1: Wowow and. 251 00:14:06,800 --> 00:14:09,520 Speaker 2: Historic drop in the ratings of the Democratic Party. So 252 00:14:09,559 --> 00:14:13,000 Speaker 2: we had that last week in other polling. But NBC's 253 00:14:13,040 --> 00:14:14,160 Speaker 2: polling has the same thing. 254 00:14:14,679 --> 00:14:17,520 Speaker 1: As Carl ro pointed out, the Republicans are not exactly 255 00:14:17,559 --> 00:14:21,640 Speaker 1: on Super Night ground polling wise either, but you know, 256 00:14:22,880 --> 00:14:26,080 Speaker 1: clearly have the edge over the beleaguered, hated Democrats. 257 00:14:26,280 --> 00:14:30,680 Speaker 2: The survey finds President Trump matching or exceeding any previous 258 00:14:30,960 --> 00:14:34,680 Speaker 2: positive rating for his job approval, personal rating, and the 259 00:14:34,720 --> 00:14:37,520 Speaker 2: percentage of voters saying they identify as MAGA supporters. 260 00:14:38,360 --> 00:14:41,440 Speaker 1: He is still the high water mark in all of those. Well, no, no, 261 00:14:41,520 --> 00:14:44,600 Speaker 1: I know. I've heard that the tariffs are terrifying everybody, 262 00:14:44,600 --> 00:14:46,640 Speaker 1: and he just announced that he's tightened those up. By 263 00:14:46,680 --> 00:14:48,240 Speaker 1: the way, they're not going to be as brought. And 264 00:14:48,560 --> 00:14:52,680 Speaker 1: everybody's afraid of the economy. And these deportations are crazy, 265 00:14:52,760 --> 00:14:57,000 Speaker 1: and the doge is out of control. That's what I heard. Yeah, well, 266 00:14:57,040 --> 00:14:58,320 Speaker 1: I'll get to that in just a second. 267 00:14:58,840 --> 00:15:03,040 Speaker 2: These positive changes basically are because Trump enjoys exceptionally strong 268 00:15:03,120 --> 00:15:06,760 Speaker 2: ratings among Republicans and his political base. A majority of 269 00:15:06,840 --> 00:15:10,480 Speaker 2: voters approve of President Trump's job handling of water, security 270 00:15:10,480 --> 00:15:15,720 Speaker 2: and immigration, so he's above water on that. Conversely, President 271 00:15:15,760 --> 00:15:18,720 Speaker 2: Trump's job rating on the economy is the lowest he's 272 00:15:18,840 --> 00:15:22,920 Speaker 2: ever had, So it's interesting that his economic numbers are 273 00:15:23,000 --> 00:15:27,800 Speaker 2: so low, yet he has his highest approval personal popularity, 274 00:15:27,840 --> 00:15:30,520 Speaker 2: et cetera, et cetera he's ever had. It reminds me 275 00:15:30,560 --> 00:15:34,720 Speaker 2: of Barack Obama, you know, speaking of crowds cheering. When 276 00:15:34,760 --> 00:15:37,440 Speaker 2: you get into the whole culture personality thing. I mean, 277 00:15:37,480 --> 00:15:39,800 Speaker 2: after Obama had been president for a while, there were 278 00:15:39,880 --> 00:15:42,120 Speaker 2: a number issues that he did not pull very well on, 279 00:15:42,280 --> 00:15:45,600 Speaker 2: but his overall number stayed high, and I could see 280 00:15:45,600 --> 00:15:46,520 Speaker 2: Trump being like that. 281 00:15:47,280 --> 00:15:51,400 Speaker 1: Sure, Yeah, absolutely, And I've long maintained if he can 282 00:15:51,520 --> 00:15:55,640 Speaker 1: avoid being too quick and haphazard with the economic stuff, 283 00:15:55,640 --> 00:15:57,480 Speaker 1: that gives us a hell of a lot more time 284 00:15:57,480 --> 00:16:00,600 Speaker 1: in leeway to do the really important, you know, other 285 00:16:00,840 --> 00:16:04,040 Speaker 1: things that our priorities, including cleaning up the universities. More 286 00:16:04,080 --> 00:16:04,520 Speaker 1: to come on that. 287 00:16:05,000 --> 00:16:08,120 Speaker 2: Between a plurality and a majority of voters say President 288 00:16:08,120 --> 00:16:11,360 Speaker 2: Trump is making quote the right kind of change rather 289 00:16:11,400 --> 00:16:16,040 Speaker 2: than the wrong kind of change on seven different policy areas, 290 00:16:17,080 --> 00:16:19,920 Speaker 2: the consistent forty plus saying the right kind of change 291 00:16:19,960 --> 00:16:22,640 Speaker 2: once again represents a hardened Trump political base. 292 00:16:23,880 --> 00:16:25,560 Speaker 1: I think when you have one hundred and forty seven 293 00:16:25,600 --> 00:16:30,080 Speaker 1: consecutive months of wrong track and then somebody offers actual, 294 00:16:30,200 --> 00:16:35,280 Speaker 1: substantive change as opposed to lip service and no actual change, 295 00:16:35,280 --> 00:16:38,800 Speaker 1: which has made all of us very cynical about those promises, Yeah, 296 00:16:38,840 --> 00:16:40,000 Speaker 1: you're going to have a hell of a lot of 297 00:16:40,040 --> 00:16:42,400 Speaker 1: people say, hey, let's give it a try, let's see 298 00:16:42,440 --> 00:16:44,840 Speaker 1: what happens. That's what these pull numbers feel like to me. 299 00:16:45,160 --> 00:16:47,080 Speaker 2: And then on this since it's such a hot topic 300 00:16:47,080 --> 00:16:49,520 Speaker 2: and he gets covered negatively in the news all day 301 00:16:49,560 --> 00:16:52,240 Speaker 2: every day, a plurality of voters say Doge is a 302 00:16:52,240 --> 00:16:56,960 Speaker 2: good idea. More tellingly, more than sixty percent of voters 303 00:16:56,960 --> 00:17:02,720 Speaker 2: say Doge should continue either continue as is or slow down, 304 00:17:02,800 --> 00:17:03,600 Speaker 2: but continue. 305 00:17:03,680 --> 00:17:08,199 Speaker 1: So pretty solid ground on Doge. Still the epicenter of 306 00:17:08,240 --> 00:17:12,200 Speaker 1: the woke mind virus. Our universities are finally getting cleaned up. 307 00:17:12,240 --> 00:17:14,600 Speaker 1: The details coming up in a moment to stay with us, 308 00:17:15,400 --> 00:17:19,800 Speaker 1: Armstrong and Getty ribbling up, big step down the lane 309 00:17:19,840 --> 00:17:27,040 Speaker 1: runner for the win back in Maryland is won. Maryland 310 00:17:27,160 --> 00:17:32,040 Speaker 1: is going to the Sweet sixteen. That was an exciting game. 311 00:17:32,080 --> 00:17:33,919 Speaker 2: I didn't watch the game, but I just saw the 312 00:17:34,040 --> 00:17:37,639 Speaker 2: last three minutes on a YouTube video. It went it 313 00:17:37,800 --> 00:17:41,560 Speaker 2: was like the game winning shot like five times. 314 00:17:41,280 --> 00:17:42,879 Speaker 1: In a row is one of those. 315 00:17:43,240 --> 00:17:45,080 Speaker 2: It was one of the it makes the three pointer 316 00:17:45,359 --> 00:17:48,120 Speaker 2: and you thought the game was over, but then there's 317 00:17:48,240 --> 00:17:50,120 Speaker 2: a couple seconds left and the other team makes it, 318 00:17:50,240 --> 00:17:51,840 Speaker 2: and then there's a foul on the time out, and 319 00:17:51,880 --> 00:17:54,240 Speaker 2: then another one, and it just kept going back and forth, 320 00:17:54,400 --> 00:17:56,200 Speaker 2: like five times in the last minute. 321 00:17:56,280 --> 00:17:58,840 Speaker 1: Very exciting. It's very gracious of me to call for 322 00:17:58,880 --> 00:18:01,080 Speaker 1: that clip. Jack is my fighting in a line. I 323 00:18:01,200 --> 00:18:05,640 Speaker 1: lost in a humiliating defeat to the hated Kentuckians last night. 324 00:18:05,960 --> 00:18:09,040 Speaker 1: Hated can't they turned the but oh Kentuckians with their 325 00:18:09,119 --> 00:18:13,240 Speaker 1: weird Kentucky ways. You know what turnovers equal? Jack, You 326 00:18:13,240 --> 00:18:16,360 Speaker 1: know what they equal? They equal a loss. You protect 327 00:18:16,400 --> 00:18:19,840 Speaker 1: the rock or you lose. They fail to and they 328 00:18:19,920 --> 00:18:22,800 Speaker 1: lost some good advice right now, I don't have that 329 00:18:22,880 --> 00:18:28,360 Speaker 1: stay up watching games anyway. So speaking of colleges, if 330 00:18:28,359 --> 00:18:31,120 Speaker 1: you're familiar with the show, you understand that we believe 331 00:18:31,200 --> 00:18:35,200 Speaker 1: firmly because it's one hundred percent correct that the real 332 00:18:37,400 --> 00:18:41,080 Speaker 1: I'm trying to steer clear of my infection metaphor because 333 00:18:41,119 --> 00:18:46,200 Speaker 1: it's disgusting. How about we say the where the rebel 334 00:18:46,240 --> 00:18:49,679 Speaker 1: alliance is strongest, the and not the good rebel alliance 335 00:18:49,680 --> 00:18:52,120 Speaker 1: from Star Wars, the bad ones, the evildoers, Where they're 336 00:18:52,160 --> 00:18:56,480 Speaker 1: clustered most densely, Where the power of the woke mind 337 00:18:56,600 --> 00:19:00,639 Speaker 1: virus is strongest, and where it radiates outward from is 338 00:19:00,760 --> 00:19:04,560 Speaker 1: education in the country, especially the colleges and universities. But 339 00:19:04,680 --> 00:19:08,880 Speaker 1: elementary education is terrible to anyway. So if we are 340 00:19:09,000 --> 00:19:12,240 Speaker 1: going to get rid of, or at least weaken the 341 00:19:12,240 --> 00:19:16,800 Speaker 1: neo Marxism that the woke thing represents, because remember, friends, 342 00:19:16,880 --> 00:19:20,840 Speaker 1: it's all about overthrowing Western civilization. Has a dozen different 343 00:19:20,880 --> 00:19:24,320 Speaker 1: excuses of why you have to because the patriarchy, because 344 00:19:24,320 --> 00:19:29,160 Speaker 1: of transphobia, because of you know, racism, systemic racism, blah 345 00:19:29,160 --> 00:19:32,639 Speaker 1: blah blah blah blah blah. It's all about overthrowing Western civilization. 346 00:19:33,200 --> 00:19:35,439 Speaker 1: But anyway, so the Trump administration is coming hard for 347 00:19:35,480 --> 00:19:38,000 Speaker 1: that sort of thing. And you probably heard that they 348 00:19:38,240 --> 00:19:41,000 Speaker 1: threatened to yank four hundred million dollars of funding away 349 00:19:41,040 --> 00:19:44,720 Speaker 1: from Columbia, which might be the you know, the the 350 00:19:44,760 --> 00:19:47,639 Speaker 1: center of the center of this sort of thing, along 351 00:19:47,680 --> 00:19:48,680 Speaker 1: with Coavid. 352 00:19:48,960 --> 00:19:52,040 Speaker 2: And the fact that Columbia relented on a couple of things. 353 00:19:52,080 --> 00:19:54,560 Speaker 2: The coverage of this over the weekend has been from 354 00:19:54,720 --> 00:19:57,399 Speaker 2: like op eds in the New York Times of a 355 00:19:57,520 --> 00:20:01,000 Speaker 2: dark day for freedom of speech and universities and how 356 00:20:01,080 --> 00:20:04,240 Speaker 2: a hilarious freedom has been attacked and how we all 357 00:20:04,240 --> 00:20:07,639 Speaker 2: should shudder of the chill wind that is blowing with 358 00:20:07,720 --> 00:20:11,320 Speaker 2: the evil Trump people putting their finger on the scale 359 00:20:11,320 --> 00:20:13,760 Speaker 2: in college kid versus. 360 00:20:13,359 --> 00:20:15,639 Speaker 1: Thanks for sharing your opinion, Thanks versus. 361 00:20:15,720 --> 00:20:21,240 Speaker 2: After the Biden administration allowing gazillions of taxpayer dollars to 362 00:20:21,320 --> 00:20:24,760 Speaker 2: go to these universities where they have Jews shouldn't be 363 00:20:24,760 --> 00:20:27,080 Speaker 2: allowed on campus festivals. 364 00:20:27,359 --> 00:20:30,440 Speaker 1: And saying nothing about it. For the preaching hatred of 365 00:20:30,480 --> 00:20:32,200 Speaker 1: the United States and its constitution. 366 00:20:32,280 --> 00:20:35,320 Speaker 2: If you can, finally somebody did something. So here's what happened. 367 00:20:35,640 --> 00:20:39,000 Speaker 1: First, I was going to lead with this the headline 368 00:20:39,080 --> 00:20:42,919 Speaker 1: Wall Street Journal University sprint from we will not cower 369 00:20:43,480 --> 00:20:47,120 Speaker 1: to appeasing Trump with much of their funding at stake 370 00:20:47,119 --> 00:20:50,160 Speaker 1: schools or quietly hiring lobbyists and reaching out to politicians 371 00:20:50,200 --> 00:20:53,320 Speaker 1: amid Washington's quest to reign in academia. And they give 372 00:20:53,359 --> 00:20:56,760 Speaker 1: a bunch of examples. University of Michigan presidents sat down 373 00:20:56,760 --> 00:20:59,040 Speaker 1: for breakfast with a group of lawmakers from his home state, 374 00:20:59,080 --> 00:21:01,320 Speaker 1: and the message was clear. The school was ready to 375 00:21:01,359 --> 00:21:04,840 Speaker 1: play ball with Trump's Washington. It's time for universities to 376 00:21:04,880 --> 00:21:07,480 Speaker 1: wake up and start addressing the reasons why they've lost 377 00:21:07,520 --> 00:21:11,359 Speaker 1: so much trust. President Ono told the bipartisan group at 378 00:21:11,400 --> 00:21:15,480 Speaker 1: a hotel conference room. Aha added that universities should listen 379 00:21:15,520 --> 00:21:19,680 Speaker 1: to their most vocal critics. Well, that is refreshing. Then 380 00:21:19,680 --> 00:21:23,600 Speaker 1: they mentioned Columbia university they named zech Stanford and Duke 381 00:21:23,760 --> 00:21:28,000 Speaker 1: and wake Forest and Harvard and Vanderbilt, who have all 382 00:21:28,119 --> 00:21:31,800 Speaker 1: hired lobbyists to put in a good word in Washington, 383 00:21:31,880 --> 00:21:36,120 Speaker 1: d C. So yeah, here's why coming up. Yeah, there is. 384 00:21:38,400 --> 00:21:44,240 Speaker 2: Some belief some people have written that this gave various 385 00:21:44,320 --> 00:21:47,600 Speaker 2: university administrations that covered they needed to do what they 386 00:21:47,640 --> 00:21:50,600 Speaker 2: wanted to do and blamed only where I was going, 387 00:21:50,800 --> 00:21:53,479 Speaker 2: blamed on Trump so that they don't get attacked by 388 00:21:53,480 --> 00:21:55,879 Speaker 2: their own students. I don't know how much I believe 389 00:21:55,960 --> 00:21:59,200 Speaker 2: that or not, or if a lot of those universities 390 00:21:59,240 --> 00:22:01,560 Speaker 2: they were in more agreement with the students than Trump. 391 00:22:01,600 --> 00:22:04,320 Speaker 1: So I don't know. I think it probably varies case 392 00:22:04,359 --> 00:22:09,920 Speaker 1: by case, president by president. As we were saying last week, 393 00:22:10,320 --> 00:22:15,600 Speaker 1: they have created a monster, I'd say universities collectively, they 394 00:22:15,600 --> 00:22:19,720 Speaker 1: have created a monster of a faculty and student body 395 00:22:19,760 --> 00:22:25,640 Speaker 1: that is so wildly radical left that they are terrified 396 00:22:25,680 --> 00:22:28,360 Speaker 1: of them. University presidents, and I think some of them 397 00:22:28,359 --> 00:22:30,879 Speaker 1: are thinking, oh God, yes, thank you, you gave me 398 00:22:30,920 --> 00:22:32,960 Speaker 1: covered to ring in these maniacs. 399 00:22:33,320 --> 00:22:35,280 Speaker 2: It's like if you let your kids run the show 400 00:22:35,320 --> 00:22:37,040 Speaker 2: in your house. I mean, at some point when you 401 00:22:37,040 --> 00:22:41,399 Speaker 2: put that down, there's gonna be great resistance. They've done that. 402 00:22:41,480 --> 00:22:43,919 Speaker 2: It's these college campuses. I mean, just none of us 403 00:22:43,920 --> 00:22:45,919 Speaker 2: have been able to understand why you just don't when 404 00:22:45,960 --> 00:22:49,320 Speaker 2: the students demand something, say yeah, good for you, get 405 00:22:49,320 --> 00:22:52,000 Speaker 2: back to class, get out of my room, my office, 406 00:22:52,359 --> 00:22:55,520 Speaker 2: or you're demanding something. You don't demand anything. You pay, 407 00:22:55,840 --> 00:22:58,000 Speaker 2: you come here, you take classes, you leave with the degree. 408 00:22:58,040 --> 00:22:59,400 Speaker 2: If you don't like it, go somewhere else. 409 00:22:59,600 --> 00:23:04,119 Speaker 1: I don't know right demanding Wow, the Armstrong doctrine. Folks, 410 00:23:04,160 --> 00:23:07,520 Speaker 1: you just heard it, simple, effective, love it. So here's 411 00:23:07,520 --> 00:23:10,639 Speaker 1: what happened on Friday. And this is no accident that 412 00:23:10,720 --> 00:23:15,320 Speaker 1: Columbia made this announcement Friday after noon, where you know, 413 00:23:15,760 --> 00:23:19,679 Speaker 1: unpopular news goes to die. Columbia agreed on Friday to 414 00:23:19,800 --> 00:23:23,359 Speaker 1: overhaul its protest policies, its security practices in its Middle 415 00:23:23,359 --> 00:23:26,600 Speaker 1: Eastern Studies department, in what The New York Times called 416 00:23:26,640 --> 00:23:30,520 Speaker 1: a remarkable concession of the Trump administration, which you refused 417 00:23:30,520 --> 00:23:34,160 Speaker 1: to could consider restoring, which has refused to consider restoring 418 00:23:34,160 --> 00:23:37,720 Speaker 1: four hundred million dollars in federal funds. Without major changes. 419 00:23:37,480 --> 00:23:41,240 Speaker 2: The agreement would stunned and dismayed many many members of 420 00:23:41,280 --> 00:23:41,920 Speaker 2: the faculty. 421 00:23:42,080 --> 00:23:44,800 Speaker 1: I'm sure it did. They were running the place could 422 00:23:44,880 --> 00:23:47,560 Speaker 1: signal a new stage in the universities, escalating clash with 423 00:23:47,640 --> 00:23:51,520 Speaker 1: elite universities and colleges. And they named Jack Harvard, Stanford, 424 00:23:51,640 --> 00:23:55,960 Speaker 1: University of Michigan and others facing similar threats and probably 425 00:23:56,000 --> 00:23:59,320 Speaker 1: making similar moves. Now, I thought this might be instructive. 426 00:23:59,359 --> 00:24:03,000 Speaker 1: Go ahead, got it by way. 427 00:24:03,359 --> 00:24:07,119 Speaker 2: I hope they realize that this was so good for 428 00:24:07,240 --> 00:24:09,679 Speaker 2: their graduates, who are going to go out into the 429 00:24:09,680 --> 00:24:13,560 Speaker 2: world with Columbia University on the resume, and this gives 430 00:24:13,600 --> 00:24:17,360 Speaker 2: them some chance that the employer they run into will think, Okay, 431 00:24:17,440 --> 00:24:20,680 Speaker 2: it's not as crazy as it used to be, because 432 00:24:20,680 --> 00:24:23,840 Speaker 2: otherwise there's no way I would hire somebody from Columbia, 433 00:24:24,320 --> 00:24:26,080 Speaker 2: right who graduated Columbia recently? 434 00:24:26,359 --> 00:24:29,320 Speaker 1: Oh no, I'd run in the other direction. Yeah, unless 435 00:24:29,320 --> 00:24:32,000 Speaker 1: they proved that they were not, you know, woke mind 436 00:24:32,080 --> 00:24:34,840 Speaker 1: virus captured. I think we're back to the university president's 437 00:24:35,080 --> 00:24:36,960 Speaker 1: case by case. I think some of them Jack are 438 00:24:37,080 --> 00:24:41,720 Speaker 1: absolutely thinking that, thinking that, Oh thank god. It's because 439 00:24:41,840 --> 00:24:44,199 Speaker 1: I tell you what I'm hearing from all of my 440 00:24:44,320 --> 00:24:46,760 Speaker 1: friends on Wall Street or you know, in business around 441 00:24:46,800 --> 00:24:49,960 Speaker 1: the country that they're terrified of our graduates, not attracted 442 00:24:50,000 --> 00:24:52,840 Speaker 1: to them, but some again are so captured or part 443 00:24:52,880 --> 00:24:55,320 Speaker 1: of it that they don't care. So here I want 444 00:24:55,320 --> 00:25:01,080 Speaker 1: to illustrate. Here are these shocking, disillusioning concession that Columbia 445 00:25:01,200 --> 00:25:04,159 Speaker 1: University made, which has the New York Times all in 446 00:25:04,200 --> 00:25:10,479 Speaker 1: a lather. Uh oh, many in academia calling this an 447 00:25:10,480 --> 00:25:13,840 Speaker 1: actor surrender. Many of the steps Colombia is promising should 448 00:25:13,880 --> 00:25:16,440 Speaker 1: have been made long ago in its own best interests. 449 00:25:16,960 --> 00:25:22,000 Speaker 1: Restricting masks during protests means rule breakers will have to 450 00:25:22,000 --> 00:25:27,160 Speaker 1: take responsibility for their actions. Oh no, could disagree with that. 451 00:25:28,359 --> 00:25:33,880 Speaker 1: Clear rules clearly enforced about time, place, and manner. Restrictions 452 00:25:33,880 --> 00:25:36,440 Speaker 1: on campus speech will raise the cost for those who 453 00:25:36,440 --> 00:25:40,920 Speaker 1: want to block speakers they dislike. Oh no, ending the 454 00:25:41,240 --> 00:25:45,080 Speaker 1: Heckler's veto at a college. What a terrible thing to 455 00:25:45,160 --> 00:25:48,520 Speaker 1: do at sarcasm for those are just waking up. The 456 00:25:48,600 --> 00:25:54,280 Speaker 1: school will also incorporate into the formal policy. Listen to 457 00:25:54,320 --> 00:25:59,640 Speaker 1: this incredible concession Columbia has been beaten into taking. They 458 00:25:59,640 --> 00:26:03,960 Speaker 1: will incorporate into formal policy the definition of anti Semitism 459 00:26:04,440 --> 00:26:09,840 Speaker 1: recommended by their own Anti Semitism task Force, and it 460 00:26:09,880 --> 00:26:15,439 Speaker 1: will adopt the so called institutional neutrality institution wide that 461 00:26:15,600 --> 00:26:19,480 Speaker 1: means the school itself and its departments won't take sides 462 00:26:19,520 --> 00:26:24,280 Speaker 1: on political controversies of the day. Now, that principle, which 463 00:26:24,320 --> 00:26:28,960 Speaker 1: is associated with the University of Chicago, well, it used 464 00:26:29,000 --> 00:26:33,800 Speaker 1: to be associated with universities everywhere all the time, because, 465 00:26:33,840 --> 00:26:36,640 Speaker 1: pardon me, that's what they're effing's supposed to be doing, 466 00:26:37,160 --> 00:26:40,679 Speaker 1: teaching kids how to think, not what to think, and 467 00:26:40,760 --> 00:26:44,000 Speaker 1: so dragging them back even a couple of feet towards 468 00:26:44,040 --> 00:26:48,240 Speaker 1: sanity is seen as outrageous in a lot of the 469 00:26:48,280 --> 00:26:52,560 Speaker 1: college campuses. And of course they mentioned in the Wall 470 00:26:52,600 --> 00:26:54,639 Speaker 1: Street General the editorial board, and they're quite correct. The 471 00:26:54,680 --> 00:26:57,399 Speaker 1: test will be whether it's enforced throughout the institutions or 472 00:26:57,440 --> 00:26:59,959 Speaker 1: all of these reforms will be controversial only among those 473 00:27:00,080 --> 00:27:03,960 Speaker 1: who think a university as an ivory foxhole. Oh that's 474 00:27:04,000 --> 00:27:07,720 Speaker 1: a great phrase. Who wrote that the board an ivory 475 00:27:07,880 --> 00:27:12,000 Speaker 1: fox hole? Love? That is an ivory. 476 00:27:11,680 --> 00:27:17,320 Speaker 2: Fox hole from which to launch political movements or indoctrinate students. 477 00:27:17,359 --> 00:27:22,280 Speaker 1: All perfectly reasonable. I love this. I love this. 478 00:27:22,440 --> 00:27:26,000 Speaker 2: Oh one more note, Wow, I hadn't looked into it 479 00:27:26,040 --> 00:27:31,159 Speaker 2: this much. That's what they're describing as some sort of 480 00:27:31,240 --> 00:27:33,159 Speaker 2: unholy surrender to maga. 481 00:27:33,880 --> 00:27:39,560 Speaker 1: Yes, wow, those are the main Uh, you know it 482 00:27:39,680 --> 00:27:43,320 Speaker 1: changes now they want some sort of audit of the 483 00:27:43,320 --> 00:27:46,720 Speaker 1: Middle Eastern Studies Department because it's so flamingly anti Semitic. 484 00:27:47,040 --> 00:27:49,359 Speaker 1: You know, that's the devil's in the details there. Sure, 485 00:27:49,480 --> 00:27:51,280 Speaker 1: of course we'll have to see how that plays out, 486 00:27:51,359 --> 00:27:54,159 Speaker 1: but in the main, it's wonderful. One more note, and 487 00:27:54,560 --> 00:27:57,040 Speaker 1: this is the part that you definitely want to know. 488 00:27:58,160 --> 00:28:00,240 Speaker 1: What do you and your tax dollars have to do 489 00:28:00,280 --> 00:28:03,200 Speaker 1: with all of this? A lot, as it turns out, 490 00:28:03,640 --> 00:28:07,800 Speaker 1: speaking a dollars well spent or foolishly spent. I'm sorry, Michael. 491 00:28:07,880 --> 00:28:10,680 Speaker 1: Is its simply safe right now? Yes? Yes, simply say 492 00:28:10,760 --> 00:28:14,080 Speaker 1: home security. Oh what a great idea and money brilliantly spent. Yeah, 493 00:28:14,080 --> 00:28:15,520 Speaker 1: I talk about it all the time. How when I 494 00:28:15,600 --> 00:28:17,520 Speaker 1: drive away from my house, I just feel better. I 495 00:28:17,520 --> 00:28:19,040 Speaker 1: look at that little sign I got in front of 496 00:28:19,040 --> 00:28:21,120 Speaker 1: the door, this house protected by simply safe. No, when 497 00:28:21,119 --> 00:28:23,520 Speaker 1: I got the cameras set up and all that sort 498 00:28:23,560 --> 00:28:26,000 Speaker 1: of stuff going on, you can feel that level of 499 00:28:26,040 --> 00:28:29,960 Speaker 1: comfort too. Millions of Americans enjoy greater security and peace 500 00:28:29,960 --> 00:28:32,520 Speaker 1: of mind every time they arm their system like I do, 501 00:28:33,160 --> 00:28:37,000 Speaker 1: and listen to this simply safe active outdoor active guard. 502 00:28:37,000 --> 00:28:40,440 Speaker 1: Outdoor protection can help prevent breakings before they happen. You 503 00:28:40,520 --> 00:28:44,280 Speaker 1: got your AI powered cameras and live professional monitoring agents 504 00:28:44,680 --> 00:28:48,640 Speaker 1: monitoring your property. Anybody starts lurking around acting suspiciously, the 505 00:28:48,680 --> 00:28:50,680 Speaker 1: agents can see and talk to them in real time. 506 00:28:50,920 --> 00:28:54,520 Speaker 1: Turn on your spotlights, call the cops whatever's necessary before 507 00:28:54,920 --> 00:28:58,440 Speaker 1: you get your windows smashed in No long term contracts 508 00:28:58,480 --> 00:29:02,120 Speaker 1: or cancelation. Monitoring plans start affordably around a buck at day. 509 00:29:02,320 --> 00:29:05,640 Speaker 1: How much better is that than the old timey security systems. Unbelievable. 510 00:29:05,760 --> 00:29:08,320 Speaker 1: Visit simply safe dot com slash armstrong. You get fifty 511 00:29:08,320 --> 00:29:11,200 Speaker 1: percent off a new system with a professional monitoring plan 512 00:29:11,240 --> 00:29:14,440 Speaker 1: in your first month is free again, that's simplysafe dot 513 00:29:14,480 --> 00:29:18,680 Speaker 1: com slash armstrong. There's no safe like simply safe. 514 00:29:18,720 --> 00:29:20,560 Speaker 2: For some reason, that reminded me, I wanted to talk 515 00:29:20,600 --> 00:29:22,760 Speaker 2: about how my neighbors are making me feel bad about 516 00:29:22,760 --> 00:29:26,680 Speaker 2: myself unintentionally not but just just like kind of a 517 00:29:26,680 --> 00:29:29,720 Speaker 2: comparison between me and my kids and them and their kids. 518 00:29:29,960 --> 00:29:32,040 Speaker 2: On a daily basis, I'm falling away shortenings. 519 00:29:33,160 --> 00:29:37,120 Speaker 1: Ask your AI counselor for comfort and suckor you know, 520 00:29:37,200 --> 00:29:39,800 Speaker 1: we could either rush through this like maniacs, or I 521 00:29:39,800 --> 00:29:41,760 Speaker 1: could pay off what do your tax dollars have to 522 00:29:41,800 --> 00:29:44,920 Speaker 1: do with all of this college campus madness? After a 523 00:29:45,000 --> 00:29:48,280 Speaker 1: quick break, I advocate the latter plan. 524 00:29:48,200 --> 00:29:50,200 Speaker 2: And I will pay off. How my neighbors are making 525 00:29:50,240 --> 00:29:52,400 Speaker 2: me feel bad about myself, It's got more to do 526 00:29:52,480 --> 00:29:57,120 Speaker 2: with me than them. But yeah, maybe I need to 527 00:29:57,160 --> 00:29:59,760 Speaker 2: move to a neighborhood everybody's like doing meth and has pitbulls. 528 00:30:00,200 --> 00:30:01,560 Speaker 1: Feel better about myself. 529 00:30:01,640 --> 00:30:06,760 Speaker 2: You know you graded on a curve wise exactly we 530 00:30:06,880 --> 00:30:10,520 Speaker 2: got more of the waist theret getty. 531 00:30:11,400 --> 00:30:15,240 Speaker 4: You need fresh eggs straight from the chicken box. Next 532 00:30:15,280 --> 00:30:18,440 Speaker 4: you need pickling lime. Next you need a scale in 533 00:30:18,480 --> 00:30:21,640 Speaker 4: your jar of choice. You're gonna take an ounce of 534 00:30:21,800 --> 00:30:26,160 Speaker 4: pickle lime to one quart of water. You're gonna place 535 00:30:26,240 --> 00:30:29,960 Speaker 4: your eggs point down. When you got your jar, pull 536 00:30:30,840 --> 00:30:34,000 Speaker 4: your ounce of pickle lime to one quart of water. 537 00:30:34,200 --> 00:30:38,120 Speaker 4: Impalled in and make sure they're completely covering the eggs. 538 00:30:38,240 --> 00:30:40,720 Speaker 4: We got my liden ring. You're gonna put those on 539 00:30:40,920 --> 00:30:43,640 Speaker 4: tight and there y'all have it. You just preserved eggs 540 00:30:43,680 --> 00:30:45,240 Speaker 4: for as long as two years. 541 00:30:45,600 --> 00:30:48,240 Speaker 2: There you go with the ongoing tips for eggs, because 542 00:30:48,240 --> 00:30:50,320 Speaker 2: apparently all of us eat one hundred eggs per day, 543 00:30:50,560 --> 00:30:52,280 Speaker 2: and it's the most important thing in the world of 544 00:30:52,360 --> 00:30:53,280 Speaker 2: the cost of eggs. 545 00:30:53,720 --> 00:30:55,760 Speaker 1: Well in, a rise of thirty percent in the price 546 00:30:55,760 --> 00:30:57,880 Speaker 1: of eggs is thirty percent in their cost of living. 547 00:30:57,960 --> 00:31:00,000 Speaker 2: Because all I do is eat eggs all the time. 548 00:31:00,040 --> 00:31:04,480 Speaker 2: It's my entire bill every month, every credit card bill eggs. Sense, 549 00:31:05,600 --> 00:31:06,480 Speaker 2: that is kind of funny. 550 00:31:06,520 --> 00:31:09,720 Speaker 1: I mean, they are very expensive thanks to the inflation Bertsley, 551 00:31:09,760 --> 00:31:18,760 Speaker 1: but a have cereal, have like a ham sandwich for breakfast. 552 00:31:18,800 --> 00:31:22,960 Speaker 1: That's actually pretty enjoyable anyway, So I wanted to pay 553 00:31:23,000 --> 00:31:25,080 Speaker 1: this off for you. We've been talking about how the 554 00:31:25,480 --> 00:31:28,800 Speaker 1: a lot of the major universities are actually now bowing 555 00:31:28,880 --> 00:31:32,600 Speaker 1: to the pressure from the Trump administration to stop being 556 00:31:33,120 --> 00:31:38,040 Speaker 1: Marxist hives of anti American hate and perversion and flamingly 557 00:31:38,080 --> 00:31:40,720 Speaker 1: anti Semitic. By the way, even as you swear you're 558 00:31:41,360 --> 00:31:45,480 Speaker 1: tolerant and welcome all folks, just not the evil Jews 559 00:31:45,880 --> 00:31:51,000 Speaker 1: at Columbia University, for instance, or UCLA, we never forget anyway. 560 00:31:51,240 --> 00:31:55,120 Speaker 1: So what does your tax money have to do with this? Now? 561 00:31:55,480 --> 00:31:58,280 Speaker 1: You might not need to, you know, consider that angle, 562 00:31:58,320 --> 00:32:02,640 Speaker 1: because the way the universities are pumping out America hating 563 00:32:02,760 --> 00:32:06,320 Speaker 1: Marxist graduates and many of them are becoming school teachers 564 00:32:06,320 --> 00:32:10,400 Speaker 1: and indoctrinating your little kids is horrifying enough. But wait, 565 00:32:10,720 --> 00:32:15,080 Speaker 1: there's more so, As Alicia Finley writes, she's a brilliant writer. 566 00:32:15,480 --> 00:32:19,080 Speaker 1: Like most colleges, Columbia, who we're just talking about, relies 567 00:32:19,120 --> 00:32:22,600 Speaker 1: on federal funds and tax exemptions. These subsidies not only 568 00:32:22,600 --> 00:32:27,400 Speaker 1: allow colleges to exist, they fuel campus radicalism by encouraging 569 00:32:27,440 --> 00:32:31,800 Speaker 1: the growth of graduate programs and academic departments in social 570 00:32:31,880 --> 00:32:35,720 Speaker 1: sciences and humanities whose primary goals are to promote left 571 00:32:35,720 --> 00:32:40,280 Speaker 1: wing political causes rather than like turn loose useful people 572 00:32:40,400 --> 00:32:43,520 Speaker 1: to society. It's self serving. 573 00:32:43,840 --> 00:32:48,080 Speaker 2: Yeah, we gotta break through this because for forever, the 574 00:32:48,120 --> 00:32:50,440 Speaker 2: whole idea he's going to graduate school, she's going to 575 00:32:50,440 --> 00:32:53,400 Speaker 2: graduate school was such, you know, a good thing obviously. 576 00:32:53,680 --> 00:32:56,240 Speaker 2: Oh yeah, gotta break out of that. They're very accomplished. 577 00:32:56,360 --> 00:32:58,800 Speaker 2: It's not clearly a good thing at all anymore. 578 00:32:58,880 --> 00:33:01,560 Speaker 1: Oh no, no, I'd say, in the vast majority of cases, 579 00:33:01,600 --> 00:33:05,040 Speaker 1: it's a time and wasted time and money. Start with 580 00:33:05,200 --> 00:33:08,880 Speaker 1: unlimited federal borrowing for grad students. Here's your tax dollars 581 00:33:08,920 --> 00:33:11,600 Speaker 1: at work. The Education Department caps the total amount of 582 00:33:11,600 --> 00:33:14,360 Speaker 1: federal loans for undergrads. The loan limit has helped keep 583 00:33:14,400 --> 00:33:16,600 Speaker 1: a lid on college costs, as you know, I've said 584 00:33:16,640 --> 00:33:18,240 Speaker 1: many times through the years, and people don't get this. 585 00:33:18,640 --> 00:33:22,719 Speaker 1: When you flood a market for a particular good or 586 00:33:22,760 --> 00:33:27,760 Speaker 1: service with money or incredibly cheap loans. Say your local 587 00:33:28,200 --> 00:33:34,800 Speaker 1: car dealer is offering eighty four month loans at one 588 00:33:34,840 --> 00:33:39,360 Speaker 1: point five percent. You look at that payment, you think, 589 00:33:39,720 --> 00:33:42,680 Speaker 1: I don't give a crap what the price is. That 590 00:33:42,720 --> 00:33:45,600 Speaker 1: payment's too good to pass up. So my weather, my 591 00:33:45,720 --> 00:33:48,520 Speaker 1: f one fifty just went from seventy grand to ninety 592 00:33:48,560 --> 00:33:52,959 Speaker 1: three grand. I don't care. And universities get that. So 593 00:33:53,040 --> 00:33:55,960 Speaker 1: you got this unlimited spigot of federal money. The loans 594 00:33:55,960 --> 00:33:58,760 Speaker 1: are backed, and then Joe Biden tries to forgive them 595 00:33:58,760 --> 00:34:03,160 Speaker 1: glad that Mummy is out the White House, and so 596 00:34:03,560 --> 00:34:06,000 Speaker 1: they just have carte launched to raise tuition or whatever 597 00:34:06,040 --> 00:34:09,799 Speaker 1: they want anyway, So the loan limit has helped keep 598 00:34:09,840 --> 00:34:13,160 Speaker 1: a lid on college costs. But that's just for undergrads. 599 00:34:13,800 --> 00:34:16,960 Speaker 1: The net cost of attendance at publican nonprofit colleges after 600 00:34:17,080 --> 00:34:20,160 Speaker 1: discounts has been flat over the last fifteen years. Partly 601 00:34:20,160 --> 00:34:21,960 Speaker 1: because inflation has been so high it's just kind of 602 00:34:22,000 --> 00:34:26,560 Speaker 1: kept up. But colleges, being the resourceful for profit businesses 603 00:34:26,600 --> 00:34:29,719 Speaker 1: they are, don't tell me, well, no, Joe, they're nonprofits. No, 604 00:34:29,960 --> 00:34:32,880 Speaker 1: you've got thousands and thousands and thousands of people profiting 605 00:34:33,120 --> 00:34:39,600 Speaker 1: from their business salaries pensions. Anyway, they boosted revenue by 606 00:34:39,600 --> 00:34:44,000 Speaker 1: adding pricey graduate programs and enrolling more grad students. Brown 607 00:34:44,080 --> 00:34:48,720 Speaker 1: University December warned it has a ninety million dollar budget 608 00:34:48,760 --> 00:34:51,600 Speaker 1: hole owing in Part two quote rapid growth in faculty 609 00:34:51,880 --> 00:34:56,520 Speaker 1: and staff positions, with staff growth out pacing growth in faculty, 610 00:34:57,080 --> 00:35:00,840 Speaker 1: how could it possibly be? So it's probably ei positions 611 00:35:00,840 --> 00:35:04,840 Speaker 1: and crapping, right, So it's just bureaucracy. It's not even teachers. 612 00:35:05,040 --> 00:35:07,759 Speaker 1: So what are you gonna do at Brown University? One 613 00:35:07,920 --> 00:35:12,759 Speaker 1: planned budget solution? Double the number of residential masters students. 614 00:35:13,719 --> 00:35:20,560 Speaker 1: Double it? Wow? And in what jack bioscience? Computer engineering? Huh? 615 00:35:20,800 --> 00:35:24,640 Speaker 1: Colleges around exactly. Colleges around the country are adding master's 616 00:35:24,680 --> 00:35:29,640 Speaker 1: programs in such fields as social work, humanitarian, community development, 617 00:35:29,760 --> 00:35:33,000 Speaker 1: and Middle Eastern studies, often costing six figures to rake 618 00:35:33,160 --> 00:35:36,480 Speaker 1: in more federal dollars. I love this. Columbia offers master's 619 00:35:36,480 --> 00:35:42,319 Speaker 1: degrees and negotiating into conflict resolution, sustainability management. You got 620 00:35:42,320 --> 00:35:45,759 Speaker 1: a master's in sustainability management, nobody even knows what that is, 621 00:35:46,160 --> 00:35:49,120 Speaker 1: and human capital management, the last being a fancy term 622 00:35:49,160 --> 00:35:52,759 Speaker 1: for HR. And then Alicia asks, hey, where all those 623 00:35:52,800 --> 00:35:56,560 Speaker 1: graduate peacemakers when the protesters were tearing Columbia part and 624 00:35:56,600 --> 00:36:00,759 Speaker 1: occupying building. You should have enlisted their help. So most 625 00:36:00,800 --> 00:36:03,200 Speaker 1: research universities enrolled two to three times as many grad 626 00:36:03,239 --> 00:36:05,960 Speaker 1: students as undergrads. Now you know why, man, And it's 627 00:36:06,080 --> 00:36:11,520 Speaker 1: our tax dollars financing that Marxist hell hole boo, I 628 00:36:11,640 --> 00:36:13,560 Speaker 1: say boo. 629 00:36:13,640 --> 00:36:16,280 Speaker 2: Sixty minutes took a look last night at the Canadian 630 00:36:16,360 --> 00:36:19,800 Speaker 2: border and said, yeah, there are people and drugs coming across. 631 00:36:19,840 --> 00:36:21,279 Speaker 1: I was surprised by that. We'll get to that now 632 00:36:21,400 --> 00:36:22,080 Speaker 1: or three if you miss it. 633 00:36:22,239 --> 00:36:27,040 Speaker 2: The podcast Armstrong and Getty on demand Armstrong and Getty