1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,240 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,119 --> 00:00:17,240 Speaker 2: I'm Strong and Getty and he Armstrong and Getty. 4 00:00:23,280 --> 00:00:27,240 Speaker 3: Law enforcement across the country they're investigating for suspected arson, 5 00:00:27,440 --> 00:00:30,280 Speaker 3: like in the case outside of Boston where seven Tesla 6 00:00:30,360 --> 00:00:33,280 Speaker 3: charging stations caught fire. And then there have been other 7 00:00:33,360 --> 00:00:37,560 Speaker 3: incidents with vandalism, people spray painting on vehicles, spray painting 8 00:00:37,640 --> 00:00:41,960 Speaker 3: the glass of dealerships, or in one case outside of Portland, Oregon, 9 00:00:42,479 --> 00:00:45,200 Speaker 3: shooting at the cars and the glass of the dealership 10 00:00:45,240 --> 00:00:48,519 Speaker 3: in the early morning hours last Thursday. In one incident 11 00:00:48,560 --> 00:00:53,120 Speaker 3: in Colorado, a woman was arrested for throwing Molotov cocktails 12 00:00:53,120 --> 00:00:55,760 Speaker 3: at the dealership and spray painting the word Nazi on 13 00:00:55,840 --> 00:00:56,240 Speaker 3: the cars. 14 00:00:57,040 --> 00:01:00,960 Speaker 2: This is making the news, but not in the same 15 00:01:01,040 --> 00:01:04,600 Speaker 2: way if it were Maga people attacking an electric car 16 00:01:04,640 --> 00:01:07,959 Speaker 2: company because of the politics, because they're attacking Elon because 17 00:01:08,000 --> 00:01:08,720 Speaker 2: of the politics. 18 00:01:09,319 --> 00:01:16,960 Speaker 1: Sure of course, yeah, yeah, yeah. It's it's amazing that 19 00:01:17,120 --> 00:01:22,560 Speaker 1: conservatives ever win anything because they have the information industry 20 00:01:22,640 --> 00:01:23,199 Speaker 1: on their side. 21 00:01:23,200 --> 00:01:25,160 Speaker 2: But we do got a lot of stuff coming up 22 00:01:25,240 --> 00:01:27,920 Speaker 2: this hour before. But we're going to get into Elon 23 00:01:28,040 --> 00:01:31,240 Speaker 2: and Trump. They're having a car sale on the White 24 00:01:31,240 --> 00:01:32,280 Speaker 2: House lawn yesterday. 25 00:01:33,280 --> 00:01:35,560 Speaker 1: One of the most gratifying stories I've heard in a 26 00:01:35,720 --> 00:01:40,080 Speaker 1: really long time. Columbia University is at warwith itself and 27 00:01:40,400 --> 00:01:44,240 Speaker 1: the forces of reasonableness have been emboldened. 28 00:01:44,880 --> 00:01:47,400 Speaker 2: So those few non. 29 00:01:47,560 --> 00:01:50,600 Speaker 1: Communist academics out there are saying, enough is enough. 30 00:01:50,600 --> 00:01:53,320 Speaker 2: We'll bring you the details later. Cool, So we'll start 31 00:01:53,360 --> 00:01:55,640 Speaker 2: with I don't know if you probably if you watched 32 00:01:55,680 --> 00:01:57,720 Speaker 2: any news yesterday, you saw this. They had a bunch 33 00:01:57,760 --> 00:02:00,280 Speaker 2: of Tesla's parked there at the White House and Trump 34 00:02:00,400 --> 00:02:03,120 Speaker 2: was looking at him, and Elon was showing them to him, 35 00:02:03,120 --> 00:02:09,280 Speaker 2: and they were taking questions from reporters. I've never heard 36 00:02:09,280 --> 00:02:11,799 Speaker 2: anybody mention this other than me, and I don't know why. 37 00:02:12,320 --> 00:02:16,360 Speaker 2: Through the whole Biden Obama times when they were touting 38 00:02:16,400 --> 00:02:18,560 Speaker 2: electric cars and electric cars in the future, and We're 39 00:02:18,600 --> 00:02:20,239 Speaker 2: going to force you into electric cars, and they would 40 00:02:20,280 --> 00:02:23,000 Speaker 2: have all the GM electric cars and the Ford electric 41 00:02:23,040 --> 00:02:26,760 Speaker 2: cars and no Tesla's, even though Tesla was the only 42 00:02:26,919 --> 00:02:28,040 Speaker 2: especially then. 43 00:02:28,080 --> 00:02:30,600 Speaker 1: Electric car company even coming close. 44 00:02:30,360 --> 00:02:32,880 Speaker 2: To making aden I mean, none of them were. They 45 00:02:32,880 --> 00:02:35,240 Speaker 2: were still in like one hundred a year of these 46 00:02:35,280 --> 00:02:37,480 Speaker 2: other electric cars, but they'd have them there at the 47 00:02:37,480 --> 00:02:40,000 Speaker 2: White House and talk about how big was all because 48 00:02:40,480 --> 00:02:43,799 Speaker 2: even though climate change is an existential threat, is more 49 00:02:43,840 --> 00:02:46,840 Speaker 2: important to make sure the auto union workers were happy 50 00:02:46,840 --> 00:02:50,799 Speaker 2: and not Tesla, who doesn't allow the unionization. Right, Yeah, 51 00:02:51,320 --> 00:02:54,560 Speaker 2: so revealed, Yeah, no kidding, Apparently it's not so much 52 00:02:54,560 --> 00:02:57,440 Speaker 2: of an existential threat AnyWho. So he had Tesla's there 53 00:02:57,440 --> 00:02:59,040 Speaker 2: at the White House for the first time yesterday. Here's 54 00:02:59,080 --> 00:03:01,160 Speaker 2: a little elon and I just want to thank the 55 00:03:01,240 --> 00:03:05,760 Speaker 2: President for support Samain's a lot, and also thank everyone 56 00:03:05,800 --> 00:03:07,680 Speaker 2: out there who is supporting Tesla. 57 00:03:08,080 --> 00:03:12,239 Speaker 4: It's really terrible that so much violence being pro traded 58 00:03:12,280 --> 00:03:16,320 Speaker 4: against people at Tesla, Tesla supporters, Tesla owners, Tesla stores. 59 00:03:16,639 --> 00:03:19,880 Speaker 2: These are innocent people who have done nothing wrong. So 60 00:03:20,320 --> 00:03:28,480 Speaker 2: uh yeah, yeah, I am. I have some concern about 61 00:03:28,480 --> 00:03:30,680 Speaker 2: that somebody, that somebody's gonna get hurt. I mean, you know, 62 00:03:30,720 --> 00:03:34,040 Speaker 2: you start setting stuff on fire and attacking people's cars 63 00:03:34,040 --> 00:03:36,480 Speaker 2: and traffic and all that sort of stuff. Oh hell yeah, yeah, 64 00:03:36,480 --> 00:03:40,440 Speaker 2: it's inevitable. Yeah, ain't ain't good. And I went to 65 00:03:40,480 --> 00:03:43,760 Speaker 2: my local charging station in my Tesla yesterday and I 66 00:03:43,880 --> 00:03:47,720 Speaker 2: was wondering them anything going on here anybody's painting Nazi 67 00:03:47,760 --> 00:03:50,160 Speaker 2: on the pump or anything, but not yet. Here's Trump 68 00:03:50,240 --> 00:03:51,000 Speaker 2: responding to that. 69 00:03:51,400 --> 00:03:54,960 Speaker 4: There's been some physical damage, a little damage, and we 70 00:03:55,040 --> 00:03:57,720 Speaker 4: want to keep it that way because I don't want 71 00:03:57,720 --> 00:03:59,640 Speaker 4: to say this, it's just not the appropriate but low 72 00:03:59,680 --> 00:04:02,720 Speaker 4: and for out there watching everybody, we don't want this 73 00:04:02,840 --> 00:04:05,800 Speaker 4: to happen, and not to somebody that's been so good 74 00:04:05,840 --> 00:04:07,760 Speaker 4: to our country. He didn't have to do this, he 75 00:04:07,800 --> 00:04:11,320 Speaker 4: didn't have to go through this, and we can't let 76 00:04:11,400 --> 00:04:11,840 Speaker 4: it happen. 77 00:04:12,120 --> 00:04:14,880 Speaker 2: And so yeah, yesterday, I on the air a couple 78 00:04:14,880 --> 00:04:16,880 Speaker 2: of times said I think I'm gonna get a cyber 79 00:04:16,880 --> 00:04:19,760 Speaker 2: truck with a personalized license plate that says doge. I 80 00:04:19,800 --> 00:04:22,200 Speaker 2: think having a cyber truck now is basically like having 81 00:04:22,200 --> 00:04:27,960 Speaker 2: a driving mega hat. Nobody saw coming five years. 82 00:04:27,640 --> 00:04:31,800 Speaker 1: Back, when like the entire constituency other than you, who 83 00:04:31,920 --> 00:04:34,800 Speaker 1: just wanted a rocket ship fast car was look at 84 00:04:34,839 --> 00:04:37,919 Speaker 1: may look how responsible I am? I really that's level 85 00:04:37,960 --> 00:04:41,440 Speaker 1: warmings and existential threat. I mean that was like every customer. 86 00:04:41,480 --> 00:04:43,280 Speaker 1: I eat a huge percentage. 87 00:04:43,600 --> 00:04:45,800 Speaker 2: I eat kale, and I drive a Tesla and I 88 00:04:45,839 --> 00:04:48,200 Speaker 2: do all the good things. My kids are in public 89 00:04:48,200 --> 00:04:51,520 Speaker 2: school and we're looking forward to Pride month. It all 90 00:04:51,520 --> 00:04:51,960 Speaker 2: fit together. 91 00:04:52,080 --> 00:04:56,599 Speaker 1: I have a shrine Degretituneberg living around. We genuflect to 92 00:04:56,680 --> 00:04:59,599 Speaker 1: that brave little girl every day before we leave the house. 93 00:05:00,040 --> 00:05:01,760 Speaker 2: Slip the other direction. I have no idea what this 94 00:05:01,800 --> 00:05:03,680 Speaker 2: is going to do to the car prices or the 95 00:05:04,200 --> 00:05:06,840 Speaker 2: brand or whatever, because all a lot of the mag 96 00:05:06,839 --> 00:05:08,560 Speaker 2: of people live in parts of the country were there 97 00:05:08,600 --> 00:05:11,279 Speaker 2: and drive electric cars. And I know these people, they're 98 00:05:11,279 --> 00:05:13,400 Speaker 2: my relatives, they're my friends. They're not gonna drive electric. 99 00:05:13,520 --> 00:05:16,640 Speaker 2: So it's gone from joy read viewers to kid Rock 100 00:05:16,720 --> 00:05:20,480 Speaker 2: and Susius. That's right there at the Tesla dealer, including Trump. 101 00:05:21,480 --> 00:05:23,359 Speaker 2: So I just wanted to make a statement. I'm going 102 00:05:23,440 --> 00:05:25,080 Speaker 2: to buy one. Now here's the bad news. 103 00:05:25,440 --> 00:05:27,919 Speaker 4: I'm not allowed to drive because if I haven't driven 104 00:05:27,960 --> 00:05:29,640 Speaker 4: a car in a long time, and I love to 105 00:05:29,720 --> 00:05:32,320 Speaker 4: drive cars. But I'm going to have it at the 106 00:05:32,360 --> 00:05:34,400 Speaker 4: White House and I'm gonna let my staff use it. 107 00:05:34,440 --> 00:05:36,320 Speaker 4: I'm going to let people at the place use it. 108 00:05:37,080 --> 00:05:39,800 Speaker 4: And they all are all excited about that I'm not 109 00:05:39,839 --> 00:05:40,600 Speaker 4: allowed to use it. 110 00:05:40,600 --> 00:05:41,679 Speaker 2: Can you believe it? 111 00:05:42,120 --> 00:05:44,000 Speaker 4: I said, one of my great one of my great 112 00:05:44,040 --> 00:05:46,080 Speaker 4: things in life is that I can you know, I 113 00:05:46,200 --> 00:05:48,599 Speaker 4: like to drive cars, but I'm not allowed to. And 114 00:05:48,640 --> 00:05:52,919 Speaker 4: I will say this on the cyber truck. I bought 115 00:05:53,160 --> 00:05:56,239 Speaker 4: for a very special young woman. Do you know. I'm 116 00:05:56,279 --> 00:06:00,960 Speaker 4: sure you've never heard of her Kai and she's great golfers. 117 00:06:01,080 --> 00:06:03,040 Speaker 4: He puts the clubs in the back, and I guess 118 00:06:03,080 --> 00:06:04,839 Speaker 4: it's a very safe deal. She loves it. 119 00:06:06,520 --> 00:06:10,560 Speaker 2: I mean, he's full car salesman mode there selling cars 120 00:06:10,560 --> 00:06:12,320 Speaker 2: in the White House lawn. A little more of that. 121 00:06:12,960 --> 00:06:15,920 Speaker 4: I love Tesla. 122 00:06:18,920 --> 00:06:21,760 Speaker 2: The one I like is that one? How did work? 123 00:06:21,839 --> 00:06:24,040 Speaker 2: I want that same color? Are you gonna put down 124 00:06:24,040 --> 00:06:26,080 Speaker 2: a credit card? Elon? Would you take a personal check 125 00:06:26,120 --> 00:06:28,599 Speaker 2: for the president? I do it the old I give checks. 126 00:06:29,160 --> 00:06:33,320 Speaker 4: I like checks, you know, I like a check better 127 00:06:33,360 --> 00:06:35,839 Speaker 4: than this modern system of all of a sudden there's 128 00:06:35,880 --> 00:06:37,400 Speaker 4: money in your account. Nobody knows. 129 00:06:37,800 --> 00:06:42,080 Speaker 2: I like signing a check. So Trump said I'm gonna 130 00:06:42,080 --> 00:06:44,040 Speaker 2: get one, and Elon said which one you want? And 131 00:06:44,360 --> 00:06:46,120 Speaker 2: Trump said, which one do you drive? And he said, well, 132 00:06:46,120 --> 00:06:47,640 Speaker 2: I drive an ass plaid And he said, well, get 133 00:06:47,640 --> 00:06:49,080 Speaker 2: me that one, get me the red one. I want 134 00:06:49,120 --> 00:06:52,080 Speaker 2: one of those red And then Hannadial announced last night 135 00:06:52,120 --> 00:06:55,520 Speaker 2: and tweeted out I or just ordered my new self 136 00:06:55,600 --> 00:07:00,400 Speaker 2: driving Tesla plaid over one thousand horsepower. So it is 137 00:07:00,480 --> 00:07:06,720 Speaker 2: becoming a Hannity Trump Maga vehicle, which it wasn't when 138 00:07:06,720 --> 00:07:09,080 Speaker 2: I bought one three years ago. But I guess that's 139 00:07:09,080 --> 00:07:11,520 Speaker 2: the direction. It's going, for better or worse. I gotta 140 00:07:11,520 --> 00:07:13,320 Speaker 2: believe it's for worse for the car company. 141 00:07:14,960 --> 00:07:20,520 Speaker 1: Yeah, well, yeah, probably because it was always at least 142 00:07:20,560 --> 00:07:24,320 Speaker 1: in large measure of virtue signal. Now it's a virtue 143 00:07:24,400 --> 00:07:29,760 Speaker 1: signal again, but without the climate chains is an existential 144 00:07:29,840 --> 00:07:37,560 Speaker 1: crisis aspect of it. Yeah, I don't knows. Well, yeah, 145 00:07:37,600 --> 00:07:40,760 Speaker 1: but this isn't just a minor company. This is one 146 00:07:40,800 --> 00:07:43,600 Speaker 1: of the Magnificent seven companies. This is the most valuable 147 00:07:43,600 --> 00:07:47,160 Speaker 1: car company in the world. Our far is our politics 148 00:07:47,320 --> 00:07:51,840 Speaker 1: now so infiltrated every aspect of our lives. I mean, 149 00:07:51,840 --> 00:07:54,840 Speaker 1: we've talked about this endlessly on how now people. You know, 150 00:07:54,960 --> 00:07:57,640 Speaker 1: the first question you ask on social media if you're 151 00:07:57,640 --> 00:07:59,680 Speaker 1: going to date someone, is you you vote for Trump 152 00:07:59,760 --> 00:07:59,880 Speaker 1: or not? 153 00:08:01,000 --> 00:08:03,720 Speaker 2: Something unheard of not that many years ago, that it 154 00:08:03,720 --> 00:08:06,960 Speaker 2: would even cross your mind thinking who they voted for 155 00:08:07,520 --> 00:08:09,680 Speaker 2: president when you got down to dating. I don't know 156 00:08:09,720 --> 00:08:11,600 Speaker 2: how long you'd have to be dating before would ever 157 00:08:11,640 --> 00:08:14,440 Speaker 2: come up in my case maybe never. 158 00:08:15,880 --> 00:08:18,560 Speaker 1: Well right, yeah, you could easily be a year into 159 00:08:18,600 --> 00:08:21,480 Speaker 1: a relationship before something would pop up and you'd be. 160 00:08:21,440 --> 00:08:25,600 Speaker 2: Like, oh really, eh, okay, it just doesn't matter. But anyway, 161 00:08:25,640 --> 00:08:29,040 Speaker 2: has it so infiltrated every aspect of life that companies 162 00:08:29,080 --> 00:08:32,800 Speaker 2: can rise or fall based on whether they're scene as 163 00:08:33,040 --> 00:08:36,840 Speaker 2: woke enough or maga enough or whatever, like seriously rise 164 00:08:36,880 --> 00:08:40,440 Speaker 2: and fall, and then I don't know what that does 165 00:08:40,480 --> 00:08:43,480 Speaker 2: to economic models, throws them all out the window, because 166 00:08:43,480 --> 00:08:45,520 Speaker 2: we all know how quickly that sort of thing can change. 167 00:08:45,559 --> 00:08:48,439 Speaker 2: See bud Light and Dylan Moulbany, see Tesla in the 168 00:08:48,520 --> 00:08:51,720 Speaker 2: last two you know month, Oh yeah, it's the greatest 169 00:08:51,720 --> 00:08:54,840 Speaker 2: whip sawing ever because bud Light went from kind of 170 00:08:55,120 --> 00:09:00,200 Speaker 2: sort of heartland America to allegedly wildly woke. But he's 171 00:09:00,480 --> 00:09:02,160 Speaker 2: gone all the way from the left to the right. 172 00:09:02,520 --> 00:09:05,360 Speaker 2: I think it may continue the trend which in the 173 00:09:05,360 --> 00:09:09,680 Speaker 2: wake of the whole George Floyd Wokes BLM crap where 174 00:09:09,679 --> 00:09:13,200 Speaker 2: all these companies were throwing money at Marxist organizations in 175 00:09:13,240 --> 00:09:16,360 Speaker 2: a desperate attempt not to be targeted by the angry, 176 00:09:16,440 --> 00:09:21,080 Speaker 2: howling mob of lefties. The after effect was that of 177 00:09:21,080 --> 00:09:23,840 Speaker 2: that was that they realized, you know, maybe they ought 178 00:09:23,840 --> 00:09:25,880 Speaker 2: to just you know, I don't know, sell beer or 179 00:09:26,840 --> 00:09:29,880 Speaker 2: hardware or clothes or whatever we sell instay, the hell 180 00:09:29,880 --> 00:09:32,760 Speaker 2: a lot of politics like we used to. Maybe I 181 00:09:32,800 --> 00:09:36,360 Speaker 2: wonder if this will just submit that depends what happens, 182 00:09:36,640 --> 00:09:40,240 Speaker 2: or is it go the other direction where it's that's 183 00:09:40,280 --> 00:09:42,120 Speaker 2: over to Buddy's house the other day to watch a 184 00:09:42,160 --> 00:09:44,560 Speaker 2: football game. You had a Samsung TV. I'll never be 185 00:09:44,600 --> 00:09:49,040 Speaker 2: over there again. I'm a Sony man, Sony's maga, Samsung's 186 00:09:49,120 --> 00:09:52,400 Speaker 2: woke for something happened, you know, my god, you know 187 00:09:52,760 --> 00:09:57,319 Speaker 2: that's a great example. I hope not. I really Can 188 00:09:57,360 --> 00:10:00,520 Speaker 2: we just watch the game? Throw paint on somebody because 189 00:10:00,520 --> 00:10:04,600 Speaker 2: they're wearing Rebox which are the wrong politics. But my 190 00:10:04,960 --> 00:10:07,280 Speaker 2: president wears Nike New Violence. 191 00:10:07,760 --> 00:10:10,679 Speaker 1: Where do you you Rebok wearing Freak? 192 00:10:11,640 --> 00:10:14,080 Speaker 2: Yeah? I don't. Can we just settle the hell down? 193 00:10:14,400 --> 00:10:16,800 Speaker 2: You know? Will? They can wear fast as they are. 194 00:10:16,840 --> 00:10:20,439 Speaker 1: I do want to clarify one thing talking about how dating, 195 00:10:21,000 --> 00:10:24,360 Speaker 1: you know, the idea of knowing somebody's politics up front. 196 00:10:24,120 --> 00:10:25,079 Speaker 2: Blah blah blah. 197 00:10:25,120 --> 00:10:29,280 Speaker 1: Back in the day, it was completely unnecessary to know it, 198 00:10:29,400 --> 00:10:34,560 Speaker 1: and and I didn't care, and most people didn't care now, though, 199 00:10:35,960 --> 00:10:40,480 Speaker 1: if somebody is like super wildly nut job left, I 200 00:10:40,520 --> 00:10:42,960 Speaker 1: think I kind of would like a heads up in advance. 201 00:10:44,360 --> 00:10:45,319 Speaker 2: I mean, because. 202 00:10:45,040 --> 00:10:53,040 Speaker 1: That's that's I'm not sure that isn't a maybe fatal issue. Maybe, 203 00:10:53,080 --> 00:10:56,240 Speaker 1: although we've received emails from folks who have spouses that 204 00:10:56,240 --> 00:10:58,840 Speaker 1: are wildly different politically than they are and they're still 205 00:10:58,840 --> 00:10:59,560 Speaker 1: happy and in love. 206 00:10:59,640 --> 00:11:03,440 Speaker 5: So yes, Katie, I was raised in a world where 207 00:11:03,600 --> 00:11:07,000 Speaker 5: asking about politics, finances, and religion was rude. 208 00:11:07,320 --> 00:11:15,360 Speaker 2: Oh yeah, absolutely, yeah, yeah, you're right. Uh, I've got 209 00:11:15,440 --> 00:11:19,920 Speaker 2: some persons you wear a doge head around, so you're. 210 00:11:19,800 --> 00:11:23,800 Speaker 5: A well I do now I've been forced. 211 00:11:27,520 --> 00:11:30,360 Speaker 2: Actually today I drove my F two fifty to work 212 00:11:30,400 --> 00:11:32,360 Speaker 2: because I had to put a giant mower in the 213 00:11:32,360 --> 00:11:33,920 Speaker 2: back of it to take to the repair shop. And 214 00:11:33,960 --> 00:11:36,120 Speaker 2: it wouldn't it wouldn't fit in a cyber truck if 215 00:11:36,120 --> 00:11:39,120 Speaker 2: I had one. But oh, and Trump saying he's going 216 00:11:39,200 --> 00:11:41,480 Speaker 2: to give this to his don't give your granddaughter a 217 00:11:41,520 --> 00:11:44,480 Speaker 2: one thousand horsepower car. That just seems like a really 218 00:11:44,520 --> 00:11:46,119 Speaker 2: bad idea for a young woman. 219 00:11:47,440 --> 00:11:51,360 Speaker 1: His ridiculously good looking granddaughter that was raised on the 220 00:11:51,400 --> 00:11:54,800 Speaker 1: same farm of ridiculously good looking woman women that the 221 00:11:54,840 --> 00:11:59,000 Speaker 1: Trump organization cranks out even more fruitfully than golf courses. 222 00:11:59,080 --> 00:12:03,760 Speaker 2: Here's a NASCAR for you and your friends to drive around. Yeah, 223 00:12:03,800 --> 00:12:07,040 Speaker 2: go ahead. Speaking of young people, mentioned this earlier. 224 00:12:07,080 --> 00:12:09,080 Speaker 1: It was kind of an afterthought and an email from 225 00:12:09,080 --> 00:12:12,679 Speaker 1: a beloved listener. But the idea of trend overload and 226 00:12:12,720 --> 00:12:16,000 Speaker 1: how it's affecting gen z, whatever that one is. I 227 00:12:16,000 --> 00:12:19,640 Speaker 1: can't keep track of the generations anymore. Plus Columbia University 228 00:12:19,800 --> 00:12:22,400 Speaker 1: in open civil war and I'm loving it. 229 00:12:23,400 --> 00:12:25,200 Speaker 2: I just want to hear the beginning of this clip again, 230 00:12:25,360 --> 00:12:25,760 Speaker 2: just to hear. 231 00:12:27,240 --> 00:12:31,240 Speaker 4: I love Tesler. 232 00:12:31,320 --> 00:12:32,640 Speaker 2: That's a New York Tesler. 233 00:12:34,240 --> 00:12:37,280 Speaker 1: Mike Tesler grew up in New Jersey and went high 234 00:12:37,320 --> 00:12:39,160 Speaker 1: school in the Bronx for a while, and all he 235 00:12:39,160 --> 00:12:41,720 Speaker 1: would he would occasionally let a Soder slip. 236 00:12:42,920 --> 00:12:46,040 Speaker 2: That's a good idea. Love me a Tesler. I love 237 00:12:46,120 --> 00:12:48,040 Speaker 2: Tesler more on the way stay here. 238 00:12:51,440 --> 00:12:55,560 Speaker 6: Unfortunately, at last week's World Ski Jump Championships too ski 239 00:12:55,679 --> 00:13:00,960 Speaker 6: jumping Norwegians admitted to cheating by using manipulation jumpsuits with 240 00:13:01,040 --> 00:13:02,840 Speaker 6: a reinforced. 241 00:13:02,120 --> 00:13:04,640 Speaker 2: Thread and. 242 00:13:06,960 --> 00:13:09,640 Speaker 6: Let him who watches a man hurl himself into the 243 00:13:09,640 --> 00:13:11,920 Speaker 6: sky at eighty miles an hour sore three hundred feet 244 00:13:11,920 --> 00:13:13,520 Speaker 6: and stick of perfect landing, and then he goes, wait 245 00:13:13,559 --> 00:13:16,720 Speaker 6: a second, does his jumpsuit have reinforced thread? 246 00:13:18,200 --> 00:13:24,959 Speaker 2: Wonder what advantage that gave them aerodynamic aerodynamics? I don't know. 247 00:13:25,000 --> 00:13:27,880 Speaker 1: It's like those those swimming suits that came in for 248 00:13:27,920 --> 00:13:30,760 Speaker 1: one Olympics and everybody swam like a motor boat and 249 00:13:30,800 --> 00:13:35,160 Speaker 1: then they banned them. Now he's doing thirty miles per 250 00:13:35,160 --> 00:13:37,199 Speaker 1: hour in the pool, Jim, that's he's going to break 251 00:13:37,240 --> 00:13:41,120 Speaker 1: the world record by well half. So speaking of things 252 00:13:41,120 --> 00:13:43,120 Speaker 1: that come and go, I thought this was interesting. Again, 253 00:13:43,160 --> 00:13:45,480 Speaker 1: one of our beloved listeners made kind of an offhanded 254 00:13:45,520 --> 00:13:50,559 Speaker 1: reference to what's the trend overload, and helpfully it might 255 00:13:50,600 --> 00:13:54,160 Speaker 1: have been Pawlow included a link to an article in 256 00:13:54,200 --> 00:13:57,200 Speaker 1: the New York Times by the pop culture gen Z writer, 257 00:13:58,200 --> 00:14:02,680 Speaker 1: a young gal by the name mckel Halterman, and it's 258 00:14:03,120 --> 00:14:05,920 Speaker 1: the article is trend over loah blah blah blah. Consider 259 00:14:05,960 --> 00:14:09,719 Speaker 1: yourself lucky if you've never heard of the Coastal Grandmother 260 00:14:10,000 --> 00:14:15,480 Speaker 1: esthetic woo I have not, or blueberry milk nails, or 261 00:14:15,520 --> 00:14:19,120 Speaker 1: the mob wife aesthetic, or a hundred other blank and 262 00:14:19,200 --> 00:14:22,080 Speaker 1: you'll miss them. Crazes that cycle online with the ferocity 263 00:14:22,120 --> 00:14:25,720 Speaker 1: of a centrifuge. These micro trends, as they're known, tend 264 00:14:25,720 --> 00:14:28,000 Speaker 1: to be associated with gen Z, but members of that 265 00:14:28,040 --> 00:14:31,440 Speaker 1: generation say they're exhausted by the onslaught of fatish clothes 266 00:14:31,680 --> 00:14:33,920 Speaker 1: and new phrases they encounter every time they pick up 267 00:14:33,920 --> 00:14:34,320 Speaker 1: their phones. 268 00:14:34,360 --> 00:14:35,720 Speaker 2: I don't want to get bogged down. Can you give 269 00:14:35,720 --> 00:14:38,120 Speaker 2: me a rough idea though? Which one is gen Z? 270 00:14:38,360 --> 00:14:42,600 Speaker 2: Is that the current twenty somethings there are uh teens 271 00:14:42,600 --> 00:14:47,440 Speaker 2: and twenty somethings. Okay, yeah, this, You know. 272 00:14:47,480 --> 00:14:51,200 Speaker 1: I hate to jump to the big overarching philosophical question 273 00:14:51,320 --> 00:14:53,440 Speaker 1: before us, but I've wondered this for a long time, 274 00:14:53,480 --> 00:14:57,840 Speaker 1: with the advent of smartphones and people becoming miserable and 275 00:14:58,000 --> 00:15:02,520 Speaker 1: anxious and depressed and suicidal, and nobody has friends anymore, 276 00:15:02,560 --> 00:15:06,440 Speaker 1: and nobody can talk to each other. And I always say, 277 00:15:06,440 --> 00:15:09,680 Speaker 1: on all sorts of different topics, don't engage in static 278 00:15:09,760 --> 00:15:13,040 Speaker 1: analysis and assume that the beast will not adapt or 279 00:15:13,080 --> 00:15:15,560 Speaker 1: the system will not adapt or because for every action 280 00:15:15,600 --> 00:15:16,880 Speaker 1: there's a there's a reaction. 281 00:15:17,320 --> 00:15:18,680 Speaker 2: And I just wonder. 282 00:15:18,400 --> 00:15:21,840 Speaker 1: Whether this is another sign of young people saying this 283 00:15:22,000 --> 00:15:28,320 Speaker 1: is making me miserable. They'll they'll, they'll, they'll start to 284 00:15:28,360 --> 00:15:30,200 Speaker 1: decide not to be miserable. 285 00:15:30,880 --> 00:15:34,240 Speaker 2: Yeah, so I mentioned that he was running around with 286 00:15:34,240 --> 00:15:36,560 Speaker 2: my son and his friends for his birthday weekend the 287 00:15:36,600 --> 00:15:38,800 Speaker 2: other day, and as it was amazed how much time 288 00:15:38,840 --> 00:15:40,960 Speaker 2: they spent staring at their phones, even with each other, 289 00:15:41,720 --> 00:15:43,520 Speaker 2: you know, and I I wasn't going to weigh in, 290 00:15:43,600 --> 00:15:47,720 Speaker 2: because you know, that's their deal. It seemed weird to me. 291 00:15:47,960 --> 00:15:49,920 Speaker 2: And we drove by all these interesting things, and I'd 292 00:15:49,920 --> 00:15:51,800 Speaker 2: say something and they'd kind of look up from their 293 00:15:51,800 --> 00:15:53,320 Speaker 2: phone for a second, but go back to their phone. 294 00:15:53,760 --> 00:15:55,320 Speaker 2: You know, I'm more interested in what was on their 295 00:15:55,360 --> 00:15:59,520 Speaker 2: phone than seeing anything new or whatever. But and it's 296 00:15:59,680 --> 00:16:03,160 Speaker 2: clear other which breaks my heart. Yeah, it's clearly so bad. 297 00:16:03,240 --> 00:16:05,720 Speaker 2: I mean so bad. I got a million examples. On 298 00:16:05,800 --> 00:16:08,200 Speaker 2: the plane two Airline stewardess is sitting in the jump 299 00:16:08,280 --> 00:16:11,040 Speaker 2: seats for takeoff. Pre smartphone, they had to be talking 300 00:16:11,080 --> 00:16:13,000 Speaker 2: to each other unless you brought a book. Now they 301 00:16:13,000 --> 00:16:16,360 Speaker 2: sit there and stare at their phones. Anyway, A wonderful 302 00:16:16,400 --> 00:16:18,480 Speaker 2: look back on this, and it'll be like smoking when 303 00:16:18,480 --> 00:16:20,720 Speaker 2: you look back on the fifties and sixties and think 304 00:16:21,280 --> 00:16:25,160 Speaker 2: doctors used to smoke. I would love that, I hope. 305 00:16:25,200 --> 00:16:28,880 Speaker 2: So I really really really hope so more than anyone trend. 306 00:16:29,000 --> 00:16:31,240 Speaker 1: The teenagers in twenty somethings she spoke with want to 307 00:16:31,280 --> 00:16:33,640 Speaker 1: talk about just how many trends there were and how 308 00:16:33,720 --> 00:16:37,640 Speaker 1: overwhelming it felt. Others say they can't keep up, they 309 00:16:37,640 --> 00:16:43,480 Speaker 1: can't afford it mentally or financially. Yeah, there's more to 310 00:16:43,520 --> 00:16:46,720 Speaker 1: this and it's pretty interesting. Maybe we can reapproach the topic. 311 00:16:47,680 --> 00:16:51,240 Speaker 2: Well. The only hope is if this current generate gen 312 00:16:51,360 --> 00:16:54,320 Speaker 2: z or whatever they are, they do get miserable enough 313 00:16:54,360 --> 00:16:56,440 Speaker 2: that they don't want to raise their kids doing it, 314 00:16:56,760 --> 00:16:59,360 Speaker 2: that they change the rules for their kids and their kids' 315 00:16:59,360 --> 00:17:01,520 Speaker 2: schools and all that sort of stuff. That's the only hope. 316 00:17:01,560 --> 00:17:05,560 Speaker 2: I think. What the f has the coastal grandmotherist that 317 00:17:05,720 --> 00:17:08,760 Speaker 2: I actually have come across this, that one i'd actually 318 00:17:08,760 --> 00:17:12,640 Speaker 2: heard of. Yeah, Columbia University at war with itself and 319 00:17:12,680 --> 00:17:15,479 Speaker 2: we're loving it text Armstrong and Getty. 320 00:17:16,760 --> 00:17:21,160 Speaker 7: The Trump Administration, at the direction of President Trump's Executive Order, 321 00:17:21,400 --> 00:17:25,280 Speaker 7: has a zero tolerance policy for foreign nationals who are 322 00:17:25,280 --> 00:17:28,840 Speaker 7: given the privilege of getting a visa and going to 323 00:17:28,880 --> 00:17:33,320 Speaker 7: some of our finest universities and colleges and then siding 324 00:17:33,359 --> 00:17:37,199 Speaker 7: with these radical terrorist organizations and So this arrest that 325 00:17:37,240 --> 00:17:40,119 Speaker 7: took place on the campus of Columbia is the first 326 00:17:40,160 --> 00:17:41,040 Speaker 7: of many to come. 327 00:17:41,520 --> 00:17:43,880 Speaker 2: I don't know legally where we are on this whole 328 00:17:43,920 --> 00:17:45,919 Speaker 2: thing and the free speech stuff, but in terms of 329 00:17:45,920 --> 00:17:49,919 Speaker 2: a political issue, this one might be in around eighty twenty, 330 00:17:50,280 --> 00:17:51,520 Speaker 2: certainly seventy thirty. 331 00:17:52,560 --> 00:17:58,959 Speaker 1: Yeah, especially if you laid it out in neutral verbiage 332 00:17:59,119 --> 00:18:00,600 Speaker 1: about roughly. 333 00:18:01,840 --> 00:18:02,720 Speaker 2: Rough draft here. 334 00:18:05,440 --> 00:18:07,520 Speaker 1: Well, honestly, you could put it as plainly as this, 335 00:18:07,640 --> 00:18:09,680 Speaker 1: are we going to follow the law about if somebody's 336 00:18:09,680 --> 00:18:11,719 Speaker 1: on a visa and they break our laws and get arrested, 337 00:18:11,720 --> 00:18:14,520 Speaker 1: they get booted out or not. And I think most 338 00:18:14,560 --> 00:18:16,640 Speaker 1: people would say, yeah, hell, follow the law, that's why 339 00:18:16,680 --> 00:18:18,480 Speaker 1: it's the law, or change the law. 340 00:18:20,320 --> 00:18:20,760 Speaker 2: Anyway. 341 00:18:21,359 --> 00:18:25,000 Speaker 1: Columbia University and there will be many more test cases 342 00:18:25,240 --> 00:18:28,399 Speaker 1: for this that will, in a very helpful way, I think, 343 00:18:29,280 --> 00:18:31,199 Speaker 1: you know, run up against the First Amendment and we 344 00:18:31,240 --> 00:18:32,720 Speaker 1: can weigh all and how do we want. 345 00:18:32,560 --> 00:18:33,400 Speaker 2: To approach this stuff. 346 00:18:33,600 --> 00:18:36,600 Speaker 1: I'm fine with it, especially because a lot of these 347 00:18:36,960 --> 00:18:41,320 Speaker 1: young college radicals are foreigners. They're on student visas, they're 348 00:18:41,320 --> 00:18:44,240 Speaker 1: working for the violent overthrow the government of the United States. 349 00:18:45,080 --> 00:18:48,680 Speaker 1: Screw them, boot them out anyway. I love this I 350 00:18:48,720 --> 00:18:54,640 Speaker 1: was unaware of this. It makes perfect sense. Columbia University 351 00:18:55,080 --> 00:18:57,600 Speaker 1: is kind of in two battles right now. The one 352 00:18:57,640 --> 00:19:02,000 Speaker 1: we just talked about canceled federal funds to the Ivy 353 00:19:02,080 --> 00:19:06,280 Speaker 1: League school over their anti semitism. They got that, But 354 00:19:06,359 --> 00:19:10,600 Speaker 1: the second one is simmering behind the scenes, a faculty 355 00:19:10,800 --> 00:19:17,080 Speaker 1: civil war that is pitting medical doctors and engineers, actual 356 00:19:17,160 --> 00:19:22,800 Speaker 1: science people against the political scientists and humanities scholars over 357 00:19:22,960 --> 00:19:27,920 Speaker 1: how to handle all the chaos, including the pro Palestinian 358 00:19:27,960 --> 00:19:31,960 Speaker 1: promas demonstrations that have disrupted the campus life. And that's 359 00:19:32,160 --> 00:19:35,560 Speaker 1: understating it. Honestly, if you ask me, it's a piece 360 00:19:35,640 --> 00:19:36,960 Speaker 1: buy Who is this, Douglas Felcan. 361 00:19:37,760 --> 00:19:40,399 Speaker 2: That's pretty interesting. I think the takeover of buildings, the 362 00:19:40,400 --> 00:19:43,040 Speaker 2: occupation of buildings, all that crap, because I know the 363 00:19:43,280 --> 00:19:48,879 Speaker 2: crazy politics has infiltrated every department of these major universities. 364 00:19:48,880 --> 00:19:50,760 Speaker 2: And we've talked about that a lot, how they work 365 00:19:50,800 --> 00:19:54,199 Speaker 2: it into astronomy and obviously the law school and all 366 00:19:54,200 --> 00:19:58,000 Speaker 2: that sort of stuff, but not so much that the 367 00:19:58,000 --> 00:20:01,520 Speaker 2: engineers aren't saying, yo, I'm trying to get a degree 368 00:20:01,560 --> 00:20:03,440 Speaker 2: here so I can go make a living. What the 369 00:20:03,480 --> 00:20:04,600 Speaker 2: hell are you doing over there. 370 00:20:05,040 --> 00:20:08,440 Speaker 1: Well, and this is the faculty we're talking about two Well, 371 00:20:08,520 --> 00:20:11,399 Speaker 1: in particular, it's the faculty. But and this is so 372 00:20:11,520 --> 00:20:17,360 Speaker 1: easy to imagine, the soft sciences lunatics, who are as 373 00:20:17,440 --> 00:20:22,320 Speaker 1: left as can be. They're embracing this stuff enthusiastically. The 374 00:20:22,359 --> 00:20:26,480 Speaker 1: physicists are saying, you want me to incorporate that stuff 375 00:20:26,480 --> 00:20:32,520 Speaker 1: into physics? Holy crap. And they're doing it, maybe just 376 00:20:32,760 --> 00:20:35,600 Speaker 1: enough to stay out of trouble, but they hate it. 377 00:20:36,280 --> 00:20:36,840 Speaker 2: They hate it. 378 00:20:36,800 --> 00:20:39,760 Speaker 1: Because it's perverting the science they've spent their entire lives 379 00:20:41,200 --> 00:20:42,879 Speaker 1: studying and developing. 380 00:20:43,400 --> 00:20:46,639 Speaker 2: So in February, well before Donald J. 381 00:20:46,800 --> 00:20:49,920 Speaker 1: Made Columbia Exhibit A in his effort to reshape elite colleges, 382 00:20:50,200 --> 00:20:53,840 Speaker 1: seven Jewish faculty from the engineering, medical, and business schools, 383 00:20:54,119 --> 00:20:57,440 Speaker 1: along with some prominent deans and representatives for Jewish alumni, 384 00:20:57,800 --> 00:21:01,720 Speaker 1: met with the Columbia interim president, Trina Armstrong. Because every 385 00:21:01,800 --> 00:21:04,600 Speaker 1: university president needs to be a woman, they asked her 386 00:21:04,680 --> 00:21:08,080 Speaker 1: to get ahead of Trump's moves by implementing a series 387 00:21:08,119 --> 00:21:13,760 Speaker 1: of restrictions on protesters, including banning masks on campus, which 388 00:21:13,840 --> 00:21:18,760 Speaker 1: is probably already the law. But they said, look, let's 389 00:21:18,800 --> 00:21:20,760 Speaker 1: do the smart stuff and then you won't have to 390 00:21:20,800 --> 00:21:24,400 Speaker 1: worry about, you know, right wingy Trump and his crazy ideas. 391 00:21:25,040 --> 00:21:27,040 Speaker 1: Her response was to kick the can down the road. 392 00:21:27,400 --> 00:21:30,399 Speaker 1: She gave him a little lip service, and absolutely nothing happened. 393 00:21:30,200 --> 00:21:32,119 Speaker 2: By the fact that you don't have the guts to 394 00:21:32,200 --> 00:21:35,639 Speaker 2: say to your students, all right, you can protest on 395 00:21:35,760 --> 00:21:40,800 Speaker 2: behalf of humas, but you can't cover your face right right. 396 00:21:41,880 --> 00:21:45,080 Speaker 1: Last week, the Trump administration said it's canceling roughly four 397 00:21:45,160 --> 00:21:48,520 Speaker 1: hundred million dollars in federal grants and contracts to Columbia. 398 00:21:49,160 --> 00:21:52,040 Speaker 1: On Monday, Notes went out informing the faculty about the 399 00:21:52,240 --> 00:21:56,520 Speaker 1: frozen money, and said Brent Stockwell, chair of the Department 400 00:21:56,520 --> 00:21:59,440 Speaker 1: of Biological Sciences, it feels like you're on a bus 401 00:21:59,440 --> 00:22:01,560 Speaker 1: that's going over the cliff and you're just asking for 402 00:22:01,600 --> 00:22:04,359 Speaker 1: someone to take charge and drive. People are very angry. 403 00:22:04,440 --> 00:22:07,959 Speaker 1: People are in tears. They are so frustrated because these 404 00:22:08,000 --> 00:22:10,959 Speaker 1: people are trying to do hard science and real, you know, 405 00:22:11,119 --> 00:22:16,360 Speaker 1: academic studies, and their school has become so perverse that. 406 00:22:16,359 --> 00:22:18,560 Speaker 2: You know, the stuff that's happening is happening. I've got 407 00:22:18,560 --> 00:22:24,160 Speaker 2: a close relative who got their graduate degree from Columbia 408 00:22:24,359 --> 00:22:26,760 Speaker 2: just a couple of years ago. I should ask them 409 00:22:26,800 --> 00:22:31,560 Speaker 2: if they feel that's damaging its prestige. It's got to be. 410 00:22:31,960 --> 00:22:34,760 Speaker 2: If I'm an employer and I see Columbia University on 411 00:22:34,760 --> 00:22:38,760 Speaker 2: a resume coming through, I'd have to at least want 412 00:22:38,760 --> 00:22:40,679 Speaker 2: to take a you know, have a few conversations with 413 00:22:40,720 --> 00:22:45,919 Speaker 2: the person, sus them out. Yeah. Yeah. 414 00:22:46,119 --> 00:22:49,080 Speaker 1: At Columbia, the protests last fall led the school to 415 00:22:49,119 --> 00:22:52,480 Speaker 1: move classes online. Last April, I guess the last winter spring. Well, 416 00:22:52,480 --> 00:22:55,520 Speaker 1: a campus rabbi warn't Jewish students against returning to campus 417 00:22:55,520 --> 00:23:00,000 Speaker 1: because it wasn't safe. Columbia canceled its main graduation Saramon, 418 00:23:00,560 --> 00:23:03,960 Speaker 1: and in August, the president resigned thirteen months in the job. 419 00:23:04,040 --> 00:23:07,040 Speaker 1: The rest of it, and you and again your hard science, 420 00:23:07,080 --> 00:23:11,040 Speaker 1: your real academics are saying this is insane. We have 421 00:23:11,119 --> 00:23:13,040 Speaker 1: got to rein this in. So I you know, as 422 00:23:13,080 --> 00:23:15,639 Speaker 1: a political science major, I would be happy to go 423 00:23:16,160 --> 00:23:19,800 Speaker 1: deep undercover on behalf of you scientists. I know how 424 00:23:19,800 --> 00:23:22,800 Speaker 1: to talk to these people. I can speak their language. 425 00:23:22,920 --> 00:23:26,600 Speaker 1: I will be your mole deep within the faculty, although 426 00:23:26,640 --> 00:23:28,040 Speaker 1: I could never get into their faculty. 427 00:23:28,480 --> 00:23:29,240 Speaker 2: So I love this. 428 00:23:29,359 --> 00:23:33,080 Speaker 1: Keep standing up real academics and and folks in those 429 00:23:33,920 --> 00:23:38,439 Speaker 1: you know, like political scientists who actually understand what's wrong 430 00:23:38,480 --> 00:23:42,360 Speaker 1: with the current atmosphere on campus is I love this. 431 00:23:45,640 --> 00:23:46,720 Speaker 2: It's got to come from within. 432 00:23:46,800 --> 00:23:48,879 Speaker 1: It's like, you know, we've been saying it's going to 433 00:23:48,960 --> 00:23:52,280 Speaker 1: take women to get rid of the transgender madness where 434 00:23:53,359 --> 00:23:55,760 Speaker 1: fellas are in their locker room showing their wang and 435 00:23:56,400 --> 00:23:57,600 Speaker 1: beating the hell out of women on. 436 00:23:57,560 --> 00:24:00,520 Speaker 2: Sports fields and showing their wang. I mean, that's the 437 00:24:00,600 --> 00:24:01,520 Speaker 2: least of their worries. 438 00:24:01,520 --> 00:24:04,399 Speaker 1: But yeah, it's just women need to take charge of this, 439 00:24:04,720 --> 00:24:08,440 Speaker 1: and academics have to take charge of the universities. 440 00:24:08,480 --> 00:24:11,840 Speaker 2: Honestly, we need help. We can't do it from without. 441 00:24:12,560 --> 00:24:16,440 Speaker 2: You brought it up last segment. So I did a 442 00:24:16,440 --> 00:24:21,320 Speaker 2: little googling around how to dress like a coastal grandmother? 443 00:24:22,880 --> 00:24:26,960 Speaker 1: Or excuse me, do we've skipped right over why to 444 00:24:27,080 --> 00:24:29,480 Speaker 1: dress like a coastal grandmother? 445 00:24:29,720 --> 00:24:33,639 Speaker 2: How to dress coastal grandmother chic on a budget? So 446 00:24:34,040 --> 00:24:36,359 Speaker 2: I feel like we've done you some good today, particularly 447 00:24:36,400 --> 00:24:41,399 Speaker 2: you women on a fashion trend that is out there 448 00:24:41,480 --> 00:24:45,879 Speaker 2: right now, coastal grandmother chic. We have done nobody a 449 00:24:45,920 --> 00:24:48,520 Speaker 2: favor by bringing that up. We'll see you know it's 450 00:24:48,520 --> 00:24:49,520 Speaker 2: a hot thing for summer. 451 00:24:50,880 --> 00:24:53,600 Speaker 1: No, no, it's a course, well like I know a 452 00:24:53,720 --> 00:24:56,240 Speaker 1: damn thing about this. But according to the New York Times, 453 00:24:56,359 --> 00:25:00,480 Speaker 1: gen Z writer, here you go, here's a sixteen year 454 00:25:00,480 --> 00:25:04,200 Speaker 1: old high school junior New York said she felt constantly 455 00:25:04,240 --> 00:25:08,639 Speaker 1: bombarded by product recommendations. Cheetah print was hot less than 456 00:25:08,680 --> 00:25:09,440 Speaker 1: two months. 457 00:25:09,160 --> 00:25:09,800 Speaker 2: Ago, she said. 458 00:25:09,880 --> 00:25:12,480 Speaker 1: Quote, and now when I go on TikTok, I see 459 00:25:12,480 --> 00:25:17,720 Speaker 1: people saying like, cheetah print is getting sold. I'm right, right, 460 00:25:18,280 --> 00:25:22,359 Speaker 1: get a day gone a day. Chris Rock didn't know 461 00:25:22,400 --> 00:25:23,119 Speaker 1: how right he was. 462 00:25:23,840 --> 00:25:28,199 Speaker 2: My god, Yeah, I just texted you a picture of 463 00:25:28,240 --> 00:25:32,040 Speaker 2: a coastal grandmother cheeks. Is it gonna turn me on? No? 464 00:25:32,760 --> 00:25:36,520 Speaker 2: It's just very kind of loose fitting, comfortable wear. But 465 00:25:36,920 --> 00:25:40,840 Speaker 2: for whatever reason, all right, for the love of heaven. 466 00:25:41,560 --> 00:25:43,119 Speaker 2: Here's another quote. 467 00:25:43,680 --> 00:25:47,120 Speaker 1: Here's a fifteen year old in Indiana watch classmates by 468 00:25:47,160 --> 00:25:50,639 Speaker 1: thirty five dollars Stanley tumblers, only to covet another brand 469 00:25:50,640 --> 00:25:52,840 Speaker 1: of Pastel water bottles shortly thereafter. 470 00:25:53,160 --> 00:25:54,400 Speaker 2: It's wasteful, she said. 471 00:25:54,400 --> 00:25:57,879 Speaker 1: You're wast You're just wasting resources, You're wasting money. 472 00:25:59,600 --> 00:26:03,720 Speaker 2: Will kids adapt to this? 473 00:26:07,160 --> 00:26:10,480 Speaker 1: I mean it was my son. Can't remember what the 474 00:26:10,480 --> 00:26:12,280 Speaker 1: topic was. It might have been about the radio show 475 00:26:12,359 --> 00:26:15,320 Speaker 1: or whatever it was. Quite a few years ago when 476 00:26:15,359 --> 00:26:20,200 Speaker 1: he was a teenager I guess maybe early twenties. He 477 00:26:20,240 --> 00:26:24,199 Speaker 1: introduced me to the phrase dad, hater's gonna hate, the 478 00:26:24,280 --> 00:26:27,320 Speaker 1: idea that online, no, ignore it because that's what they 479 00:26:27,359 --> 00:26:29,720 Speaker 1: do for fun. It has nothing to do with you. 480 00:26:29,760 --> 00:26:33,680 Speaker 1: Haters are gonna hate. And so he's adapted to that 481 00:26:33,880 --> 00:26:37,000 Speaker 1: world in a way. Of course, he's not an impressionable 482 00:26:37,040 --> 00:26:40,680 Speaker 1: young teenage girl who will go along with about anything. 483 00:26:42,359 --> 00:26:48,080 Speaker 2: Yeah. Well, we've talked about how words and phrases come 484 00:26:48,080 --> 00:26:52,160 Speaker 2: and go way faster than they used to, so everything does. 485 00:26:52,200 --> 00:26:52,679 Speaker 2: I guess. 486 00:26:53,000 --> 00:26:55,960 Speaker 1: Here's a college kid in Oregon. He thinks his age 487 00:26:55,960 --> 00:26:57,160 Speaker 1: group has reached saturation. 488 00:26:57,280 --> 00:26:57,560 Speaker 2: Quote. 489 00:26:57,560 --> 00:27:00,760 Speaker 1: The prevalence and pure amount of micro trends has made 490 00:27:00,800 --> 00:27:03,960 Speaker 1: it impossible to understand or participate. 491 00:27:05,760 --> 00:27:10,760 Speaker 2: Well, trying to think of experiencing thing like that. Is 492 00:27:10,800 --> 00:27:15,480 Speaker 2: it like when I don't know, like American idol was 493 00:27:15,520 --> 00:27:18,320 Speaker 2: so dominant and then you had like fifty different singing shows. 494 00:27:18,320 --> 00:27:21,760 Speaker 8: Somebody's like whatever, you just give up on it? Is 495 00:27:21,800 --> 00:27:27,359 Speaker 8: it kind of like that? I don't know, Yeah, yeah, 496 00:27:27,800 --> 00:27:33,000 Speaker 8: I don't know. I'm interested in the sociologically, and it 497 00:27:33,080 --> 00:27:37,520 Speaker 8: reminds me and this fits in perfectly so I got 498 00:27:37,800 --> 00:27:40,200 Speaker 8: turned on. The New York Times had an article about. 499 00:27:40,160 --> 00:27:44,280 Speaker 2: This book and this author that I got into a 500 00:27:44,280 --> 00:27:48,200 Speaker 2: couple of weekends ago. And he was a great cultural 501 00:27:48,440 --> 00:27:51,119 Speaker 2: critic in New York of the twenties. I don't remember 502 00:27:51,119 --> 00:27:53,880 Speaker 2: his name, but you wouldn't know it anyway, really really 503 00:27:53,880 --> 00:27:58,240 Speaker 2: big deal then, and he wrote a number of novels 504 00:27:58,320 --> 00:28:02,320 Speaker 2: about twenties basically, I mean, it was the most roaring 505 00:28:02,359 --> 00:28:05,600 Speaker 2: there in New York. And it was during Prohibition, and 506 00:28:06,400 --> 00:28:08,840 Speaker 2: everybody was feeling rich. I mean, if any of this 507 00:28:08,920 --> 00:28:12,919 Speaker 2: sounds familiar, everybody was feeling rich and just bored by 508 00:28:13,040 --> 00:28:15,560 Speaker 2: modern life. And there was just a lot of casual 509 00:28:15,680 --> 00:28:19,160 Speaker 2: sex and people not interested in getting married and dating anymore, 510 00:28:19,160 --> 00:28:23,119 Speaker 2: and everybody was just bored with everything and constantly trying 511 00:28:23,119 --> 00:28:26,560 Speaker 2: to find the next new thing, and drunk all the time, 512 00:28:27,680 --> 00:28:30,440 Speaker 2: all the time. Prohibition and this this book. I should 513 00:28:30,480 --> 00:28:32,760 Speaker 2: send you one of them. It's really interesting to read. 514 00:28:33,520 --> 00:28:38,880 Speaker 2: But we all know what ended that. The depression in 515 00:28:38,920 --> 00:28:42,360 Speaker 2: World War Two completely obliterated that, I mean, and it 516 00:28:42,440 --> 00:28:46,920 Speaker 2: was a hard reset, as we all know to you know, 517 00:28:47,040 --> 00:28:51,320 Speaker 2: the way my parents grew up very austere, I mean, 518 00:28:51,520 --> 00:28:54,400 Speaker 2: just the one hundred and eighty degrees from that lifestyle. 519 00:28:54,560 --> 00:28:59,240 Speaker 2: But it took cataclysms to do that, and that's what 520 00:28:59,360 --> 00:29:03,000 Speaker 2: wipe all this up. I think human nature does not change. 521 00:29:03,600 --> 00:29:05,880 Speaker 2: It's a little different now because of the social media, 522 00:29:05,880 --> 00:29:07,960 Speaker 2: and it's not just cultural, it's just, you know, the 523 00:29:08,000 --> 00:29:10,720 Speaker 2: way we do everything, staring at our phones or anything 524 00:29:10,760 --> 00:29:14,000 Speaker 2: has changed. But a cataclysm, you know, a good long 525 00:29:14,080 --> 00:29:17,840 Speaker 2: war with China and a devastating economy for a while, 526 00:29:18,680 --> 00:29:23,040 Speaker 2: sweet medior a death, maybe, honey, I don't want that 527 00:29:23,120 --> 00:29:25,560 Speaker 2: to happen, but that's what reset us last time around. 528 00:29:25,960 --> 00:29:27,280 Speaker 2: Wolf finished Strong, coming up. 529 00:29:27,160 --> 00:29:33,520 Speaker 9: Next Armstrong, and sold readily at smoke shops, convenience stores, 530 00:29:33,560 --> 00:29:36,680 Speaker 9: and gas stations. Cratom is derived from a plant from 531 00:29:36,720 --> 00:29:40,760 Speaker 9: Southeast Asia and often marketed as a supplement to boost energy, 532 00:29:40,800 --> 00:29:44,560 Speaker 9: manage pain, and even possibly help kick addictions. It can 533 00:29:44,600 --> 00:29:48,280 Speaker 9: be bought in liquid, tablet or powder form. Small doses 534 00:29:48,320 --> 00:29:52,040 Speaker 9: that Dea says provide a stimulate effect, high doses a 535 00:29:52,160 --> 00:29:55,720 Speaker 9: sedative effects. CDC data from twenty twenty three shows thirty 536 00:29:55,720 --> 00:30:00,120 Speaker 9: seven states and Washington d C had one fifty one 537 00:30:00,200 --> 00:30:04,280 Speaker 9: overdose deaths in which creatom was detected. The FDA doesn't 538 00:30:04,320 --> 00:30:07,000 Speaker 9: regulate it, but warns the public against the use of 539 00:30:07,080 --> 00:30:08,600 Speaker 9: creatom for medical treatment. 540 00:30:08,720 --> 00:30:14,520 Speaker 2: Had never even heard of kretum. That was if you 541 00:30:14,560 --> 00:30:17,320 Speaker 2: had said there's a new drug called kretum. Did I 542 00:30:17,400 --> 00:30:20,320 Speaker 2: just make that up or not? I wouldn't know. No idea. 543 00:30:20,520 --> 00:30:24,120 Speaker 2: Take it easy on the creatim. Everybody ain't good for you, boy. 544 00:30:24,160 --> 00:30:26,720 Speaker 2: A small dose is kind of a stimulant. Large dose 545 00:30:26,840 --> 00:30:30,240 Speaker 2: is a depressant. I get that myself out of a glass. 546 00:30:31,680 --> 00:30:34,400 Speaker 2: So here's something counterintuitive for you. Maybe I'll get into 547 00:30:34,440 --> 00:30:36,880 Speaker 2: this when we have more time, because it's kind of fascinating. 548 00:30:36,960 --> 00:30:39,040 Speaker 2: So Trump mentioned the other day, I think he mentioned 549 00:30:39,040 --> 00:30:41,400 Speaker 2: it is not State of the Union address about making 550 00:30:41,440 --> 00:30:47,000 Speaker 2: English the official language, which in general sounds good to me. 551 00:30:47,280 --> 00:30:50,840 Speaker 2: It just drives me nuts when I am trying to 552 00:30:51,280 --> 00:30:55,280 Speaker 2: function in the world and in dealing with somebody doesn't 553 00:30:55,320 --> 00:30:58,040 Speaker 2: speak English, drives me crazy. That's in a store the 554 00:30:58,080 --> 00:30:59,720 Speaker 2: other day and ask a question. The person just said, 555 00:30:59,800 --> 00:31:04,320 Speaker 2: no know English, then why are you here? I would 556 00:31:04,320 --> 00:31:07,800 Speaker 2: have said in their language if I knew how, But 557 00:31:08,080 --> 00:31:12,000 Speaker 2: so U. I saw this from Stephen Pinker, who sometimes 558 00:31:12,040 --> 00:31:14,040 Speaker 2: I agree with sometimes I don't, in his Twitter feed, 559 00:31:14,280 --> 00:31:17,200 Speaker 2: but he pointed out John mccorter's piece in the New 560 00:31:17,280 --> 00:31:21,040 Speaker 2: York Times about this, and we often agree with him. 561 00:31:21,480 --> 00:31:24,880 Speaker 2: English is the official US angliage is an unkind policy 562 00:31:24,920 --> 00:31:28,640 Speaker 2: for a non existent problem, says John mccorter. Right wingers 563 00:31:28,680 --> 00:31:32,520 Speaker 2: take note, libertarianism has worked perfectly were here, Well here, 564 00:31:32,840 --> 00:31:37,200 Speaker 2: spontaneous order emerging from everyone wanting to learn the predominant 565 00:31:37,280 --> 00:31:41,360 Speaker 2: language has resulted in English becoming the de facto official 566 00:31:41,440 --> 00:31:45,080 Speaker 2: language of our country without government regulation. It has also 567 00:31:45,120 --> 00:31:49,120 Speaker 2: become the world's de facto official second language, again without 568 00:31:49,160 --> 00:31:55,360 Speaker 2: government regulation. And how it it pulls people together better 569 00:31:56,040 --> 00:31:58,400 Speaker 2: just because it's an easier way to make a go 570 00:31:58,560 --> 00:32:01,640 Speaker 2: of it in this country than would if we tried 571 00:32:01,720 --> 00:32:04,840 Speaker 2: to force people into it, that's macuarter's argument. 572 00:32:05,400 --> 00:32:09,160 Speaker 1: Well, and if we were to make it legally so 573 00:32:09,560 --> 00:32:13,920 Speaker 1: and force people into it, what would the resistance or 574 00:32:13,960 --> 00:32:17,080 Speaker 1: backlash look like. And I'm not advocating one side of 575 00:32:17,080 --> 00:32:18,800 Speaker 1: this or the other. I'm just curious how it would 576 00:32:18,800 --> 00:32:20,600 Speaker 1: actually play out in real life. I mean, because the 577 00:32:20,640 --> 00:32:23,480 Speaker 1: official state language of California is English. 578 00:32:23,240 --> 00:32:26,080 Speaker 2: And it's a joke, Yeah, well then there's no enforcement 579 00:32:26,080 --> 00:32:29,520 Speaker 2: of that whatsoever. But it's not hard to imagine an 580 00:32:29,560 --> 00:32:33,160 Speaker 2: immigrant family from wherever and you hear this all the 581 00:32:33,200 --> 00:32:35,560 Speaker 2: time people who grew up in a house where their 582 00:32:35,600 --> 00:32:37,880 Speaker 2: parents were going to make them learn English. You're going 583 00:32:37,920 --> 00:32:39,800 Speaker 2: to speak English because that's how you're going to make 584 00:32:39,800 --> 00:32:42,200 Speaker 2: it go up in this country, right, maybe being resistant 585 00:32:42,200 --> 00:32:43,200 Speaker 2: to that if it were forced. 586 00:32:43,200 --> 00:32:47,280 Speaker 1: Apartment asked a girl on a train platform in Munich, 587 00:32:47,320 --> 00:32:50,600 Speaker 1: excuse me, do you speak English? And see she said yes, 588 00:32:51,920 --> 00:32:54,120 Speaker 1: as if it was a ridiculous question. 589 00:32:54,320 --> 00:32:56,080 Speaker 2: Yeah, yeah, and she was German. I got to comment 590 00:32:56,120 --> 00:32:57,360 Speaker 2: on that. I'll do it for my final. 591 00:32:57,160 --> 00:33:07,880 Speaker 10: Point, I'm strong, get ready with Katie Green and. 592 00:33:11,080 --> 00:33:11,400 Speaker 6: Strong. 593 00:33:12,800 --> 00:33:15,240 Speaker 2: Here's yours for final thoughts, Joe Getty, let's get a 594 00:33:15,240 --> 00:33:17,880 Speaker 2: final thought from everybody on the crew. Michaelangelo lead us off, 595 00:33:17,920 --> 00:33:18,920 Speaker 2: would you please Well? 596 00:33:18,920 --> 00:33:22,080 Speaker 1: I got exactly one month till I turned fifty, and uh, 597 00:33:22,160 --> 00:33:24,920 Speaker 1: I know that I can't keep up with the trends 598 00:33:24,920 --> 00:33:25,920 Speaker 1: like coastal grandmother. 599 00:33:26,000 --> 00:33:28,760 Speaker 2: I just don't know. I think you should start dressing 600 00:33:28,800 --> 00:33:29,880 Speaker 2: like a coastal grandmother. 601 00:33:31,440 --> 00:33:34,760 Speaker 1: Katie Green are esteemed Newswoman. As a final thought, Katie, well. 602 00:33:34,640 --> 00:33:37,600 Speaker 5: Since Jack is thinking about getting a cyber truck, I 603 00:33:37,640 --> 00:33:41,280 Speaker 5: was looking at raps and they have a McDonald's burger rap. 604 00:33:41,520 --> 00:33:43,960 Speaker 2: Oh cool for the cyber truck. There you go. So 605 00:33:44,040 --> 00:33:48,880 Speaker 2: your truck looks like a burger. I don't dream come true. Jack. 606 00:33:48,920 --> 00:33:50,720 Speaker 2: A final thought for us. So, I was good friends 607 00:33:50,720 --> 00:33:53,320 Speaker 2: with this guy named Giuseppe is from Italy, and he's 608 00:33:53,360 --> 00:33:57,600 Speaker 2: a PhD at the university. And he spoke decent English, 609 00:33:57,640 --> 00:33:59,680 Speaker 2: not great, but decent English. And I remember telling him 610 00:33:59,720 --> 00:34:02,000 Speaker 2: one time I was thinking of learning Spanish or a 611 00:34:02,000 --> 00:34:03,720 Speaker 2: second language. I thought it'd be cool, and he said, 612 00:34:03,960 --> 00:34:06,240 Speaker 2: why would you care. You already know the most important 613 00:34:06,280 --> 00:34:10,280 Speaker 2: language on earth. And he was a very well world traveled, 614 00:34:10,320 --> 00:34:12,839 Speaker 2: world traveler, And that's just stuck in my mind. Yeah, 615 00:34:12,960 --> 00:34:15,120 Speaker 2: I already know the important language. 616 00:34:15,680 --> 00:34:20,360 Speaker 1: Yeah, I will be online all afternoon promoting the coastal 617 00:34:20,520 --> 00:34:23,920 Speaker 1: middle aged dipstick who doesn't give a crap anymore esthetic. 618 00:34:24,560 --> 00:34:27,319 Speaker 1: If you'd like some pictures of that, well, I'll send 619 00:34:27,320 --> 00:34:28,200 Speaker 1: you pictures of me. 620 00:34:28,640 --> 00:34:30,960 Speaker 2: Yes, I've got the guy who shops at tractor supply 621 00:34:31,080 --> 00:34:34,680 Speaker 2: Aesthetic Armstrong in Geeddy wrapping up but o they're grueling 622 00:34:34,840 --> 00:34:35,800 Speaker 2: four hour workday. 623 00:34:36,160 --> 00:34:37,800 Speaker 1: So many people with thanks a little time go to 624 00:34:37,840 --> 00:34:38,920 Speaker 1: Armstrong and getdy dot com. 625 00:34:39,000 --> 00:34:39,960 Speaker 2: Check out the hot links. 626 00:34:40,000 --> 00:34:42,680 Speaker 1: Oh so many good reads and views. Pick up an 627 00:34:42,760 --> 00:34:45,719 Speaker 1: ang hoodie for your favorite Ang fan. Maybe it's you 628 00:34:45,960 --> 00:34:49,000 Speaker 1: helps to keep everybody on the payroll during these challenging times. 629 00:34:49,080 --> 00:34:51,000 Speaker 1: And if there's something we ought to be talking about, man, 630 00:34:51,080 --> 00:34:54,040 Speaker 1: y'all are great about this. Drop us lines in a 631 00:34:54,080 --> 00:34:56,480 Speaker 1: link mail bag at armstrong in getdy dot com. 632 00:34:56,600 --> 00:35:01,960 Speaker 2: We will see you tomorrow. God bless America. I love 633 00:35:02,120 --> 00:35:04,279 Speaker 2: arm Strong and Getty. I'm going to say this at 634 00:35:04,320 --> 00:35:07,279 Speaker 2: risk of my job. What are beyond my craving for doritos? 635 00:35:07,360 --> 00:35:08,479 Speaker 2: What the hell are you talking about? 636 00:35:08,520 --> 00:35:10,640 Speaker 4: It seems like there's a few kings in that slinkys, 637 00:35:11,000 --> 00:35:12,480 Speaker 4: So let's go with a buying. 638 00:35:12,280 --> 00:35:14,120 Speaker 2: Green drops keep falling on your hand? Are you familiar 639 00:35:14,160 --> 00:35:15,560 Speaker 2: with that? On my head? 640 00:35:15,760 --> 00:35:15,960 Speaker 4: Right? 641 00:35:16,000 --> 00:35:19,919 Speaker 2: It's not that's not the point of the conversation. Who's 642 00:35:20,239 --> 00:35:23,040 Speaker 2: who's the eight is getting rain on it? It's not 643 00:35:23,120 --> 00:35:25,760 Speaker 2: the point. That's not the key question, right. 644 00:35:25,880 --> 00:35:28,759 Speaker 7: And on that nightmare inducing notes, thank you very much, 645 00:35:29,000 --> 00:35:30,320 Speaker 7: Armstrong and Getty.