1 00:00:01,840 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,200 Speaker 1: Washington Broadcast Center, jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:18,279 Speaker 2: Armstrong and Jackie and he Armstrong and Eddy. 4 00:00:23,400 --> 00:00:25,720 Speaker 3: This is really stunning news coming out of the White House. 5 00:00:25,720 --> 00:00:29,319 Speaker 3: It's been confirmed by our own Jackie Heinrich. White House 6 00:00:29,360 --> 00:00:33,839 Speaker 3: corresponded that Mike Waltz, the National Security Advisor, and his deputy, 7 00:00:33,880 --> 00:00:38,080 Speaker 3: Alex Wong, have been pushed out of that position by 8 00:00:38,120 --> 00:00:41,520 Speaker 3: the President. This comes just after the one hundred day mark. 9 00:00:41,560 --> 00:00:44,520 Speaker 3: You'll remember during the first Trump administration, of course, Mike 10 00:00:44,560 --> 00:00:48,240 Speaker 3: Flynn was the shortest serving National Security Advisor. He lasted 11 00:00:48,240 --> 00:00:49,160 Speaker 3: twenty four days. 12 00:00:49,840 --> 00:00:53,320 Speaker 2: Yeah, Mike Flynn, though, was a crackpot. Walls is not. 13 00:00:53,840 --> 00:00:55,840 Speaker 2: Why is he out, you suggested, Do you think it's 14 00:00:55,840 --> 00:00:57,560 Speaker 2: because of signal Gate? I don't feel like there was 15 00:00:57,560 --> 00:01:00,760 Speaker 2: any pressure right now over that was there. I think 16 00:01:00,800 --> 00:01:02,080 Speaker 2: that's the answer right there. 17 00:01:02,160 --> 00:01:05,520 Speaker 4: I think Trump is so prideful he will not make 18 00:01:05,720 --> 00:01:09,840 Speaker 4: a significant move under pressure, but he will say we're 19 00:01:09,840 --> 00:01:11,679 Speaker 4: getting rid of this guy as soon as it looks 20 00:01:11,720 --> 00:01:14,319 Speaker 4: like it's my decision and I'm not reacting to the pressure. 21 00:01:14,319 --> 00:01:16,399 Speaker 2: I guess we've got a little report now on this. 22 00:01:17,319 --> 00:01:20,280 Speaker 3: Laura Lumer, who is a conservative activist, went in to 23 00:01:20,319 --> 00:01:22,800 Speaker 3: see the President and had a list of people on 24 00:01:22,880 --> 00:01:29,240 Speaker 3: the National Security Council that Mike Waltz then had to 25 00:01:29,280 --> 00:01:33,560 Speaker 3: turn around and fire. So there has been incredible instability 26 00:01:33,640 --> 00:01:36,720 Speaker 3: at the top of the national security team for the president, 27 00:01:37,000 --> 00:01:40,040 Speaker 3: and Jackie Heinrich is reporting that there could be more 28 00:01:40,040 --> 00:01:40,759 Speaker 3: shoes to drop. 29 00:01:40,959 --> 00:01:41,039 Speaker 5: Ye. 30 00:01:41,160 --> 00:01:43,440 Speaker 2: See, I think it's directional. I think he didn't dig 31 00:01:43,520 --> 00:01:47,440 Speaker 2: Walls's view of the world, which unfortunately I do agree 32 00:01:47,480 --> 00:01:49,400 Speaker 2: with Walls's view of the world more than Trump, so 33 00:01:49,720 --> 00:01:52,000 Speaker 2: I was happy he was there. Is Tucker Carlson going 34 00:01:52,040 --> 00:01:54,520 Speaker 2: to be the new national security guy or that fake 35 00:01:54,680 --> 00:01:57,800 Speaker 2: historian said Churchill is the cause of World War Two 36 00:01:57,880 --> 00:02:01,160 Speaker 2: or somebody like that. Laura loom As a crackpot. 37 00:02:01,280 --> 00:02:04,080 Speaker 4: Sorry if that offends anybody, I'll you know what, we 38 00:02:04,120 --> 00:02:05,680 Speaker 4: don't have time now, we have something else to do, 39 00:02:05,720 --> 00:02:07,600 Speaker 4: but I'll go through our history. 40 00:02:07,320 --> 00:02:09,519 Speaker 2: Someday she's unhinged. 41 00:02:09,800 --> 00:02:13,639 Speaker 4: It'd be interesting to see who Trump pigs. Yeah, yeah, 42 00:02:13,760 --> 00:02:15,680 Speaker 4: no kidding, all right, More on this to come. It 43 00:02:15,760 --> 00:02:19,440 Speaker 4: is a developing story. But first, a campus madness updates. 44 00:02:19,560 --> 00:02:24,640 Speaker 2: Yes, most important story in America for reasons. We'll explain, 45 00:02:28,240 --> 00:02:32,520 Speaker 2: it's a serious madness. That's madness Jack on campus. What 46 00:02:32,639 --> 00:02:33,040 Speaker 2: that is. 47 00:02:36,400 --> 00:02:38,840 Speaker 4: It's our belief around here that the rot in our 48 00:02:38,880 --> 00:02:43,239 Speaker 4: schools k well pre k now through graduate school might 49 00:02:43,360 --> 00:02:47,399 Speaker 4: be the most serious challenge facing America right now. 50 00:02:47,800 --> 00:02:49,639 Speaker 2: China is not gonna have to defeat us if we're 51 00:02:49,680 --> 00:02:50,320 Speaker 2: rot from. 52 00:02:50,120 --> 00:02:52,720 Speaker 4: Within, because we're teaching all of our young people to 53 00:02:52,840 --> 00:02:58,240 Speaker 4: despise their own country and Western civilization. Anyway, I wond 54 00:02:58,280 --> 00:03:02,440 Speaker 4: to review a couple of stories about the progress and 55 00:03:02,600 --> 00:03:09,120 Speaker 4: some progress in turning around this awful problem. The Trump 56 00:03:09,200 --> 00:03:14,520 Speaker 4: administration has launched a probe of Harvard's Law Reviews racial preferences. 57 00:03:15,560 --> 00:03:18,600 Speaker 4: Harvard is a leading light in a lot of awful 58 00:03:18,639 --> 00:03:19,200 Speaker 4: things right now. 59 00:03:19,240 --> 00:03:20,560 Speaker 2: But the long and. 60 00:03:20,520 --> 00:03:22,720 Speaker 4: Short of the story is that the Department of Education 61 00:03:22,760 --> 00:03:26,399 Speaker 4: and Health and Human Services are conducting separate investigations because, 62 00:03:27,120 --> 00:03:33,919 Speaker 4: as the Washington Free Beacon published, the Harvard Law Reviews 63 00:03:34,120 --> 00:03:37,320 Speaker 4: article selection process appears to pick winners and losers on 64 00:03:37,400 --> 00:03:43,040 Speaker 4: the basis of race. They are extremely activist in picking 65 00:03:43,080 --> 00:03:48,480 Speaker 4: winners and losers based on race and intersectional status in 66 00:03:48,520 --> 00:03:51,480 Speaker 4: a way that, given the significance of being published in 67 00:03:51,560 --> 00:03:55,720 Speaker 4: the Harvard Law Review, seems to be a blatant violation 68 00:03:56,120 --> 00:03:59,760 Speaker 4: of civil rights law. And in fact, if we had 69 00:03:59,760 --> 00:04:02,040 Speaker 4: time now, I'd read a note we got from Chris 70 00:04:02,040 --> 00:04:06,480 Speaker 4: who's an author and a recognized expert in a particular field, 71 00:04:06,640 --> 00:04:10,160 Speaker 4: who used to do lots of speaking engagements, but now 72 00:04:10,160 --> 00:04:13,040 Speaker 4: has been told quite specifically in a couple of different instances, 73 00:04:13,120 --> 00:04:17,400 Speaker 4: I think, both in California, that we've got to disinvite 74 00:04:17,400 --> 00:04:20,960 Speaker 4: you because you're a white woman. I mean, just telling 75 00:04:21,000 --> 00:04:24,000 Speaker 4: her that now we only want speakers of color at 76 00:04:24,000 --> 00:04:27,440 Speaker 4: this point. So anyway, moving on to a more significant 77 00:04:27,880 --> 00:04:37,280 Speaker 4: story about Harvard, their own report on anti semitism is unbelievable. 78 00:04:37,880 --> 00:04:42,480 Speaker 4: It's scathing. They're in the midst of its funding fight 79 00:04:42,520 --> 00:04:45,400 Speaker 4: with Trump administration released their long wait it's anti Semitism 80 00:04:45,480 --> 00:04:46,440 Speaker 4: report a couple of days ago. 81 00:04:46,480 --> 00:04:47,240 Speaker 2: We talked about this. 82 00:04:47,320 --> 00:04:49,719 Speaker 4: Briefly, but if you dig into it, it is, as 83 00:04:49,760 --> 00:04:54,800 Speaker 4: I said, amazing. It found that politicized instruction in four 84 00:04:54,839 --> 00:04:59,159 Speaker 4: of the Harvard schools quote mainstreamed normalized what many Jewish 85 00:04:59,240 --> 00:05:02,080 Speaker 4: and Israeli studdents experienced as anti semitism. 86 00:05:02,880 --> 00:05:04,200 Speaker 2: Rather a week way to put it. 87 00:05:04,240 --> 00:05:08,440 Speaker 4: But the Graduate School of Education and all of this 88 00:05:08,560 --> 00:05:11,280 Speaker 4: radical stuff started in schools of education folks. 89 00:05:11,600 --> 00:05:12,799 Speaker 2: A number of years ago. 90 00:05:13,040 --> 00:05:15,640 Speaker 4: The School of Public Health, the Divinity School, and the 91 00:05:15,680 --> 00:05:19,200 Speaker 4: Medical School blah blah blah. At these schools, Jewish and 92 00:05:19,240 --> 00:05:24,400 Speaker 4: Israeli students were routinely ostracized and subject to instruction quote 93 00:05:25,520 --> 00:05:29,760 Speaker 4: that effectively made a specific view on the Israel Hamas 94 00:05:29,839 --> 00:05:34,360 Speaker 4: conflict a litmus test for full classroom participation. You could 95 00:05:34,360 --> 00:05:38,960 Speaker 4: have only one opinion. In one example, a pyramid of 96 00:05:39,040 --> 00:05:43,839 Speaker 4: white supremacy graphic disseminated to students in the required School 97 00:05:43,880 --> 00:05:48,360 Speaker 4: of Education course stated that those who opposed the boycott, 98 00:05:48,400 --> 00:05:52,599 Speaker 4: divest and sanctions against Israel movement are engaged in quote 99 00:05:52,760 --> 00:05:57,400 Speaker 4: coded genocide. Oh my god, this was in a required 100 00:05:57,600 --> 00:06:01,480 Speaker 4: education class that you beckaid whatever you're paying eighty thousand 101 00:06:01,520 --> 00:06:04,040 Speaker 4: dollars a year to have your kid go to right 102 00:06:04,360 --> 00:06:05,960 Speaker 4: and then you walk around for the rest of your 103 00:06:05,960 --> 00:06:08,599 Speaker 4: life humble bragging that you went to Harvard. That portion 104 00:06:08,640 --> 00:06:12,919 Speaker 4: of the pyramid was just one step removed from overt genocide. 105 00:06:14,000 --> 00:06:18,839 Speaker 4: In this pyramid of white soupran supremacy, one level below 106 00:06:19,080 --> 00:06:25,480 Speaker 4: overt genocide is coded genocide. That portion of the pyramid 107 00:06:25,560 --> 00:06:30,320 Speaker 4: was just one removed from the KKK lynching, burning crosses, 108 00:06:30,360 --> 00:06:33,880 Speaker 4: in bombing Black churches. When a Jewish student expressed concerns, 109 00:06:34,520 --> 00:06:37,440 Speaker 4: the instructor did not remove the graphic from course materials 110 00:06:37,440 --> 00:06:40,880 Speaker 4: and instead quote referenced the land acknowledgement made earlier in 111 00:06:40,920 --> 00:06:44,200 Speaker 4: the class, and essentially told the student to shut up. 112 00:06:45,240 --> 00:06:48,000 Speaker 4: The report details similar incidents at the School of Public Health, 113 00:06:48,000 --> 00:06:51,799 Speaker 4: where Jewish students raise concerns over anti Israel webinars, only 114 00:06:51,839 --> 00:06:55,240 Speaker 4: to be asked who is more marginalized, Jews or Palestinians 115 00:06:56,560 --> 00:06:57,400 Speaker 4: and shouted down. 116 00:06:57,600 --> 00:06:59,920 Speaker 2: At the Divinity School, you're studying. 117 00:06:59,520 --> 00:07:02,839 Speaker 4: Religion, Jewish students were subject to quote the embrace of 118 00:07:02,839 --> 00:07:06,960 Speaker 4: a pedagogy of Desionization, in which instructors these are all 119 00:07:07,040 --> 00:07:11,520 Speaker 4: quotes attribute to Jews two great sins, first in the Levant, 120 00:07:11,600 --> 00:07:15,400 Speaker 4: the establishment of the state of Israel and the Palestinian Nakba, 121 00:07:15,480 --> 00:07:19,040 Speaker 4: and second in the United States participation in white supremacy. 122 00:07:22,000 --> 00:07:24,600 Speaker 2: How did this was hot as fact? How'd they work 123 00:07:24,640 --> 00:07:26,880 Speaker 2: that stuff into the Divinity School? You know, you go, 124 00:07:27,040 --> 00:07:32,200 Speaker 2: you want to study Thomas Aquinas or the New Testament 125 00:07:32,280 --> 00:07:36,520 Speaker 2: or whatever it is, and you get this, uh yeah, well, 126 00:07:36,600 --> 00:07:39,480 Speaker 2: I am reminded of the fact that any progressive teacher 127 00:07:39,520 --> 00:07:42,600 Speaker 2: would tell you we are not only urged, we're now ordered, 128 00:07:42,760 --> 00:07:45,920 Speaker 2: like in the state of California, in writing, you have 129 00:07:46,040 --> 00:07:49,640 Speaker 2: to work this stuff into every class. You remember the 130 00:07:49,680 --> 00:07:53,280 Speaker 2: various professors we've quoted. You got a guy who's an 131 00:07:53,280 --> 00:07:57,400 Speaker 2: astrophysics teacher being told you must incorporate the principles of 132 00:07:57,440 --> 00:08:02,080 Speaker 2: DEI and anti racism into your life lessons of astrophysics. 133 00:08:02,240 --> 00:08:04,160 Speaker 2: It's absolutely insane. 134 00:08:04,240 --> 00:08:06,880 Speaker 4: We also had the headline the other day that prosecutors 135 00:08:06,880 --> 00:08:13,160 Speaker 4: declined to charge hundreds of UCLA encampment arrest these some 136 00:08:13,200 --> 00:08:16,280 Speaker 4: of the prosecutors or the headline in the mainstream media 137 00:08:16,400 --> 00:08:20,760 Speaker 4: was because of lack of evidence h ask the newly 138 00:08:20,840 --> 00:08:27,080 Speaker 4: reformed LA prosecutors. Of the hundreds arrested, only two counter 139 00:08:27,440 --> 00:08:33,320 Speaker 4: protesters are facing criminal charges, and according to prosecutors, it's 140 00:08:33,360 --> 00:08:37,280 Speaker 4: because of the complete well, where's the quote. Almost all 141 00:08:37,280 --> 00:08:39,559 Speaker 4: of the cases were thrown out because of quote the 142 00:08:39,679 --> 00:08:44,560 Speaker 4: university's failure or inability to assist in the prosecutions quote. 143 00:08:45,120 --> 00:08:48,439 Speaker 4: Most of these cases were declined for evidentiary reasons or 144 00:08:48,520 --> 00:08:52,079 Speaker 4: due to a university's failure or inability to assess and 145 00:08:52,640 --> 00:08:57,400 Speaker 4: assist in identification and other information needed for prosecution. In 146 00:08:57,440 --> 00:09:03,559 Speaker 4: other words, UCLA stonewalled them. H you mentioned this already, 147 00:09:03,559 --> 00:09:09,319 Speaker 4: but it's it's amazing. This is Harvard's own report. Okay, 148 00:09:09,320 --> 00:09:12,640 Speaker 4: we're on a UCLA, but yeah, right, uh huh yeah yeah. 149 00:09:13,200 --> 00:09:15,960 Speaker 4: And you've got to believe Harvard. And they've got a 150 00:09:16,000 --> 00:09:19,440 Speaker 4: new president who's a Jewish fella, and some folks are 151 00:09:19,440 --> 00:09:21,520 Speaker 4: saying good stuff about him. He's still, you know, a 152 00:09:21,559 --> 00:09:24,959 Speaker 4: horror denizen of Harvard. But it's an improvement. But back 153 00:09:25,000 --> 00:09:27,959 Speaker 4: to the UCLA thing. The University of California regent and 154 00:09:28,080 --> 00:09:31,360 Speaker 4: United Talent Agency Vice president Jay Surrez told the Washington 155 00:09:31,400 --> 00:09:35,800 Speaker 4: Free Beacon quote, it's absolutely pathetic that the school hasn't 156 00:09:35,800 --> 00:09:38,000 Speaker 4: punished the encampment activists quote. 157 00:09:38,040 --> 00:09:39,040 Speaker 2: Regardless of whether. 158 00:09:38,880 --> 00:09:42,080 Speaker 4: There was enough evidence to criminally prosecute those involved in 159 00:09:42,080 --> 00:09:46,520 Speaker 4: the encampment, UCLA had enough evidence to take disciplinary student action. 160 00:09:46,760 --> 00:09:51,320 Speaker 4: It's absolutely pathetic that there's been no disciplined UCLA must revamp, 161 00:09:51,360 --> 00:09:53,640 Speaker 4: or you think, and retool the way student and faculty 162 00:09:53,679 --> 00:09:57,640 Speaker 4: disciplinary processes are handled to ensure swift, in appropriate action 163 00:09:57,880 --> 00:09:58,760 Speaker 4: in the future. 164 00:10:00,280 --> 00:10:02,520 Speaker 2: And good for him speaking out, but I don't think 165 00:10:02,559 --> 00:10:07,160 Speaker 2: they've realize even come close to realizing the harm they've 166 00:10:07,200 --> 00:10:11,560 Speaker 2: done to their elite university brands that will last a 167 00:10:11,640 --> 00:10:15,200 Speaker 2: generation or more. Yeah, I wonder if Luna is off 168 00:10:15,280 --> 00:10:17,640 Speaker 2: that Crose. I mean, the bloom is so off the 169 00:10:17,760 --> 00:10:21,480 Speaker 2: rows of I went to UCLA, I went to Harvard whatever. 170 00:10:22,160 --> 00:10:24,760 Speaker 4: Yeah, yeah, I'd love to see a quick gallup poll 171 00:10:25,400 --> 00:10:30,520 Speaker 4: when you see you know phrase, what however you want 172 00:10:30,520 --> 00:10:33,720 Speaker 4: when you see someone graduated from Harvard University or maybe 173 00:10:33,760 --> 00:10:36,640 Speaker 4: you'd put it an elite university. Do you consider that 174 00:10:36,800 --> 00:10:40,320 Speaker 4: a positive, a negative or neither. I'd love to see 175 00:10:40,320 --> 00:10:43,960 Speaker 4: those numbers. I bet they have shifted enormously in last decade, 176 00:10:44,120 --> 00:10:48,520 Speaker 4: and well they should. Final note, the University of Pennsylvania 177 00:10:48,600 --> 00:10:51,680 Speaker 4: was found to have quote violated Title nine by denying 178 00:10:51,760 --> 00:10:55,920 Speaker 4: women equal opportunities by permitting males to compete in women's 179 00:10:55,960 --> 00:11:00,640 Speaker 4: intercollegiate athletics and to occupy women only intimate facilities. The 180 00:11:00,760 --> 00:11:04,120 Speaker 4: Education Department's Office for Civil Rights announced earlier this week. 181 00:11:04,640 --> 00:11:06,840 Speaker 4: It said it will give the university ten days to 182 00:11:06,960 --> 00:11:09,440 Speaker 4: be in compliance with Title nine or risk facing a 183 00:11:09,520 --> 00:11:13,640 Speaker 4: criminal referral to the Justice Department. This is all about 184 00:11:13,880 --> 00:11:19,319 Speaker 4: Leah Thomas and full grown men naked in women's locker 185 00:11:19,400 --> 00:11:22,120 Speaker 4: rooms just because they said I'm a girl. And the 186 00:11:22,240 --> 00:11:25,319 Speaker 4: utter madness of that and how blatant a violation of 187 00:11:25,400 --> 00:11:30,120 Speaker 4: Title nine that is. And the referral goes on to state, 188 00:11:30,200 --> 00:11:33,120 Speaker 4: and I can't wait to follow this coming home to 189 00:11:33,200 --> 00:11:39,040 Speaker 4: roost the OCR which stands for what does that stand for? 190 00:11:39,960 --> 00:11:44,599 Speaker 4: Office of Civil Rights announcement sad U Penn has a 191 00:11:44,679 --> 00:11:46,400 Speaker 4: choice to make do the right thing for its female 192 00:11:46,440 --> 00:11:49,120 Speaker 4: students and come into full compliance with Title nine immediately, 193 00:11:49,240 --> 00:11:52,680 Speaker 4: or continue to advance an extremist political project that violates 194 00:11:52,720 --> 00:11:56,120 Speaker 4: federal anti discrimination law and puts U Penn's federal funding 195 00:11:56,240 --> 00:12:01,240 Speaker 4: at risk. OCR demand did that the school issue a 196 00:12:01,240 --> 00:12:03,959 Speaker 4: statement on his intention to follow Title nine and along 197 00:12:03,960 --> 00:12:06,400 Speaker 4: with two other key actions, And this is what I love. 198 00:12:06,720 --> 00:12:13,079 Speaker 4: Restore to all female athletes, all individual athletic records, records, titles, honors, 199 00:12:13,200 --> 00:12:17,800 Speaker 4: awards are similar recognition for television on swimming competitions misappropriated 200 00:12:17,840 --> 00:12:20,480 Speaker 4: by male athletes competing in female category. 201 00:12:20,559 --> 00:12:22,400 Speaker 2: I thought that happens in all kinds of stuff, all 202 00:12:22,400 --> 00:12:24,960 Speaker 2: those high school track records and all that sort of stuff. 203 00:12:25,000 --> 00:12:28,559 Speaker 4: Eventually just a matter of time, I agree and quote 204 00:12:28,600 --> 00:12:31,760 Speaker 4: send a letter to each female athlete whose individual recognition 205 00:12:31,880 --> 00:12:34,920 Speaker 4: is restored, expressing an apology on behalf of the university 206 00:12:35,000 --> 00:12:38,200 Speaker 4: for allowing her educational experience in athletics to be marred 207 00:12:38,240 --> 00:12:42,800 Speaker 4: by sex discrimination. Amen to that. I hope it happens. 208 00:12:42,800 --> 00:12:52,959 Speaker 4: It's your campus madness update. Wow, some serious madness. That's 209 00:12:52,960 --> 00:12:53,600 Speaker 4: screaming up. 210 00:12:54,480 --> 00:12:56,720 Speaker 2: I'm telling you over the top. It's like a guy 211 00:12:56,720 --> 00:12:59,920 Speaker 2: with an axe and a hockey mask comes in the room, 212 00:13:00,160 --> 00:13:03,520 Speaker 2: is expressing her anguish. It's a state of American education. 213 00:13:04,080 --> 00:13:07,640 Speaker 2: You can't blame her, right, That's what I'm saying. Now. 214 00:13:08,280 --> 00:13:10,199 Speaker 2: If I don't get rid of this cough soon, I'm 215 00:13:10,280 --> 00:13:12,640 Speaker 2: hurling myself out of a baseball stadium onto the field 216 00:13:12,720 --> 00:13:13,199 Speaker 2: during the game. 217 00:13:13,720 --> 00:13:16,760 Speaker 4: It's again an odd remedy, but I sent your desperation 218 00:13:16,960 --> 00:13:17,520 Speaker 4: my plan. 219 00:13:18,120 --> 00:13:21,040 Speaker 2: Trump is expected to speak at some point about firing 220 00:13:21,320 --> 00:13:23,800 Speaker 2: Mike Walls or him leaving, and I don't know he's 221 00:13:23,840 --> 00:13:25,880 Speaker 2: gonna be anything there there is, Well, we'll you know 222 00:13:25,880 --> 00:13:27,360 Speaker 2: about it, and a bunch of other stuff. 223 00:13:27,400 --> 00:13:27,760 Speaker 5: Stay here. 224 00:13:31,440 --> 00:13:34,800 Speaker 4: Instead of full sized booze bottles, the company that makes 225 00:13:34,880 --> 00:13:37,760 Speaker 4: Jack Daniels reports that consumers are buying. 226 00:13:37,760 --> 00:13:41,440 Speaker 2: More small bottles lately. Yeah, just small. Could be a 227 00:13:41,440 --> 00:13:44,040 Speaker 2: sign of a recession. Could be that it's just Little 228 00:13:44,120 --> 00:13:56,880 Speaker 2: League season, all right. Here, we go flay ball. Hey 229 00:13:58,000 --> 00:13:59,120 Speaker 2: Tanner was safe. 230 00:13:59,760 --> 00:14:02,760 Speaker 4: No, this is not like the violin recital. 231 00:14:06,559 --> 00:14:10,880 Speaker 2: Give me the bat I'm going in. So I've noticed, 232 00:14:10,880 --> 00:14:12,800 Speaker 2: and I'm not in the drinking community much as a 233 00:14:12,840 --> 00:14:15,600 Speaker 2: non drinker, but I've noticed that little bottles have become 234 00:14:15,640 --> 00:14:18,320 Speaker 2: a thing over in the last couple of years. 235 00:14:19,680 --> 00:14:25,440 Speaker 4: Yeah. I regular stops at to my local liquid emporium, 236 00:14:25,680 --> 00:14:28,720 Speaker 4: and the number of times that I witnessed somebody buying 237 00:14:28,720 --> 00:14:31,880 Speaker 4: a bunch of airline bottles is striking. 238 00:14:31,920 --> 00:14:35,440 Speaker 2: It means something. Yeah, yeah, Katie. I also didn't realize 239 00:14:35,480 --> 00:14:40,720 Speaker 2: how much drinking goes on at little league games. Yeah. 240 00:14:40,800 --> 00:14:42,560 Speaker 2: I was talking to a friend of mine who has 241 00:14:42,600 --> 00:14:45,880 Speaker 2: a son who's playing Little League, and she told me 242 00:14:46,040 --> 00:14:49,240 Speaker 2: that when you see those moms with their Stanley's, that's 243 00:14:49,240 --> 00:14:52,200 Speaker 2: not water usually, and it's the little bottles. Probably you're 244 00:14:52,200 --> 00:14:54,080 Speaker 2: getting a little bottles and poured them in here or whatever. 245 00:14:55,320 --> 00:14:59,520 Speaker 4: I'm a self confessed cocktail enthusiast and I have never 246 00:14:59,680 --> 00:15:01,520 Speaker 4: drank my way through a single. 247 00:15:02,760 --> 00:15:04,080 Speaker 2: Child sporting event. 248 00:15:04,200 --> 00:15:06,360 Speaker 4: I would consider that a sign that I needed to 249 00:15:06,360 --> 00:15:07,720 Speaker 4: take a long look at myself. 250 00:15:07,760 --> 00:15:09,680 Speaker 2: But I was talking about a judge, just talking to 251 00:15:09,680 --> 00:15:11,320 Speaker 2: some of the other day. I don't remember. It was 252 00:15:11,360 --> 00:15:13,960 Speaker 2: as buying the little bottles and something like that. It 253 00:15:14,000 --> 00:15:16,120 Speaker 2: wasn't a Little League game, but it's similar sort of thing. 254 00:15:16,640 --> 00:15:18,560 Speaker 2: Then that's what the little bottles were for. You throw 255 00:15:18,640 --> 00:15:21,760 Speaker 2: them in your your iced tea or your lemonade or whatever. 256 00:15:22,480 --> 00:15:25,880 Speaker 4: Handy in the golf bag. I'll say that, gotcha. I 257 00:15:25,920 --> 00:15:28,320 Speaker 4: don't actually do that anymore, but it is handy. 258 00:15:28,560 --> 00:15:33,000 Speaker 2: So AI is competing with humans for jobs at a 259 00:15:33,120 --> 00:15:37,840 Speaker 2: level not seen before. For college graduates, they think, who 260 00:15:37,840 --> 00:15:40,760 Speaker 2: are coming out into a rough job market, although they've 261 00:15:40,800 --> 00:15:44,520 Speaker 2: said that every year of my life. Unusually high five 262 00:15:44,560 --> 00:15:48,360 Speaker 2: point eight percent unemployment for college graduates currently, and they'll 263 00:15:48,360 --> 00:15:51,680 Speaker 2: be hold new crop of them here in a couple 264 00:15:51,720 --> 00:15:56,320 Speaker 2: months May in June. Even newly minted MBAs from elite 265 00:15:56,360 --> 00:15:59,080 Speaker 2: programs are struggling to find work, it says here in 266 00:15:59,120 --> 00:16:04,440 Speaker 2: the Atlantic, while law school applications are surging. I didn't 267 00:16:04,480 --> 00:16:07,000 Speaker 2: know this an echo of when young people were using 268 00:16:07,040 --> 00:16:10,080 Speaker 2: graduate school to hunker down during the Great Financial Crisis. 269 00:16:10,240 --> 00:16:12,920 Speaker 2: I didn't know that if the job market was rough 270 00:16:12,960 --> 00:16:15,640 Speaker 2: for college kids, you decide to go to law school 271 00:16:16,000 --> 00:16:17,960 Speaker 2: just to hang out at college for a while longer. 272 00:16:18,560 --> 00:16:20,600 Speaker 4: Yeah, I'd pick an easier program if I were you, 273 00:16:20,680 --> 00:16:24,600 Speaker 4: judging by my daughter's recent experiences. But yeah, I do 274 00:16:24,640 --> 00:16:27,600 Speaker 4: remember people just you know, getting more schooling because they 275 00:16:27,640 --> 00:16:29,200 Speaker 4: didn't think they could get a job. 276 00:16:29,640 --> 00:16:34,160 Speaker 2: Wow, taking on more debt. Maybe it'll work for you. Anyway. 277 00:16:37,960 --> 00:16:40,520 Speaker 2: We're gonna learn here this year a lot of which 278 00:16:40,680 --> 00:16:43,600 Speaker 2: kind of jobs AI can replace in which ones it can't. 279 00:16:44,600 --> 00:16:47,320 Speaker 2: And as we've been hearing, maybe it's true, maybe it's not. 280 00:16:47,920 --> 00:16:50,880 Speaker 2: AI's gonna take a lot of jobs that were you know, 281 00:16:51,080 --> 00:16:54,000 Speaker 2: decent paying, you're a smart person that brings something to 282 00:16:54,040 --> 00:16:56,880 Speaker 2: the company. Jobs. AI is going to replace those jobs, 283 00:16:56,920 --> 00:17:00,360 Speaker 2: not like you know, gardeners and stuff. Those jobs I 284 00:17:00,440 --> 00:17:01,200 Speaker 2: can't replace. 285 00:17:01,600 --> 00:17:03,880 Speaker 4: Yeah, it's going to be devastating to white collar jobs, 286 00:17:03,920 --> 00:17:06,440 Speaker 4: middle management in particular, from what I've heard. 287 00:17:06,520 --> 00:17:09,560 Speaker 2: We also got this text R two D two doesn't 288 00:17:09,560 --> 00:17:13,960 Speaker 2: have arms. Thank you for the text line, which is 289 00:17:13,960 --> 00:17:20,840 Speaker 2: four one five two nine five KFTC Armstrong and Getty's 290 00:17:20,880 --> 00:17:23,440 Speaker 2: some numbers today, and I have to start off, I say, 291 00:17:23,520 --> 00:17:25,760 Speaker 2: that's Biden, that's not Trump. 292 00:17:25,640 --> 00:17:29,360 Speaker 6: Because we came in on January just quarterly numbers, and 293 00:17:29,480 --> 00:17:30,880 Speaker 6: we came in and. 294 00:17:32,160 --> 00:17:33,280 Speaker 2: I was very. 295 00:17:34,680 --> 00:17:37,320 Speaker 6: Against everything that Biden was doing in terms of the 296 00:17:37,359 --> 00:17:38,879 Speaker 6: economy destroying our country. 297 00:17:39,119 --> 00:17:42,440 Speaker 2: How fair is that to talk about the first negative 298 00:17:42,520 --> 00:17:48,680 Speaker 2: quarter in several years being leftover from Biden. I mean, 299 00:17:48,720 --> 00:17:50,560 Speaker 2: we all know how this works. I have to assume 300 00:17:50,560 --> 00:17:53,320 Speaker 2: if it had been up eight percent, he'd be talking 301 00:17:53,320 --> 00:17:57,520 Speaker 2: about how his plan is already working, right. I mean 302 00:17:57,520 --> 00:17:58,879 Speaker 2: that's just politics. 303 00:17:59,480 --> 00:18:02,480 Speaker 4: Combined with every president gets more credit, more blame that 304 00:18:02,520 --> 00:18:04,840 Speaker 4: he reserves for the economy. I actually, you know what's 305 00:18:04,840 --> 00:18:10,119 Speaker 4: funny is Trump explained it that way. That's not true exactly, 306 00:18:10,800 --> 00:18:13,240 Speaker 4: But this I think you'll find enlightening. I had to 307 00:18:13,280 --> 00:18:18,239 Speaker 4: be reminded that GDP, which is what declined I think 308 00:18:18,240 --> 00:18:21,040 Speaker 4: it was point three percent annualized to one point two percent, 309 00:18:22,960 --> 00:18:25,800 Speaker 4: is calculated by adding consumption. That's what all of US 310 00:18:25,800 --> 00:18:34,560 Speaker 4: spend government expenditures, investments, and exports minus imports. And because 311 00:18:34,600 --> 00:18:39,240 Speaker 4: of the anticipation of the big tariffs or trade war 312 00:18:39,440 --> 00:18:42,879 Speaker 4: or whatever, especially in the second half of the first quarter, 313 00:18:44,640 --> 00:18:48,800 Speaker 4: imports surged. US imports surged by more than forty percent 314 00:18:49,040 --> 00:18:51,760 Speaker 4: on an annualized rate quarter to quarter, you know, comparing 315 00:18:51,880 --> 00:18:57,360 Speaker 4: to last year, and so we had monstrous, crazy, unprecedented 316 00:18:57,440 --> 00:19:00,760 Speaker 4: levels of imports, which I will remind you you are 317 00:19:00,840 --> 00:19:04,000 Speaker 4: subtracted from all these other things to yield to GDP. 318 00:19:04,240 --> 00:19:06,639 Speaker 4: That's why the GDP numbers went down. It wasn't because 319 00:19:06,640 --> 00:19:08,640 Speaker 4: of weakness in the economy. It was because of an 320 00:19:08,840 --> 00:19:13,120 Speaker 4: enormous surge in imports. I'll bet you didn't hear that yesterday, 321 00:19:13,160 --> 00:19:15,080 Speaker 4: and neither did. I took a little digging, but here 322 00:19:15,080 --> 00:19:19,440 Speaker 4: we are. Second thing is, let's see, this is Greg 323 00:19:19,480 --> 00:19:23,320 Speaker 4: Hip in the Wall Street Journal. Forget the GDP. It's 324 00:19:23,359 --> 00:19:27,320 Speaker 4: the jobs report that matters. They first quarter or declined 325 00:19:27,320 --> 00:19:30,120 Speaker 4: and economic output that everybody was talking about yesterday tells 326 00:19:30,200 --> 00:19:33,160 Speaker 4: us almost nothing about the economy's actual performance through March, 327 00:19:33,480 --> 00:19:36,560 Speaker 4: which was actually fine, he writes. It tells us even 328 00:19:36,640 --> 00:19:39,720 Speaker 4: less about the broader impact of President Trump's tariffs, federal cutbacks, 329 00:19:39,720 --> 00:19:42,760 Speaker 4: and immigration crackdowns. For that, we have to await the 330 00:19:42,840 --> 00:19:46,080 Speaker 4: April data, starting with jobs and unemployment, which are going 331 00:19:46,119 --> 00:19:51,119 Speaker 4: to be released Friday of this week, tomorrow, that's correct. 332 00:19:51,119 --> 00:19:54,399 Speaker 4: That'll be the first hard data since Trump's April second 333 00:19:54,440 --> 00:19:55,680 Speaker 4: tariffs announcements. 334 00:19:56,280 --> 00:19:59,280 Speaker 2: And it may be a little chaotic ish it made that. 335 00:19:59,320 --> 00:20:02,760 Speaker 4: There may be some notable numbers there, but yesterday had 336 00:20:02,800 --> 00:20:03,520 Speaker 4: nothing to do with it. 337 00:20:04,640 --> 00:20:04,800 Speaker 5: Oh. 338 00:20:05,200 --> 00:20:07,879 Speaker 4: One more thing, Oh, yeah, the other the point of 339 00:20:07,880 --> 00:20:12,720 Speaker 4: the whole piece about the surge in imports. There there's 340 00:20:12,760 --> 00:20:15,160 Speaker 4: all sorts of weird stuff that's going to happen. Now 341 00:20:15,240 --> 00:20:18,360 Speaker 4: you're going to see numbers that leap upward or downward 342 00:20:18,480 --> 00:20:21,359 Speaker 4: or what have you, in ways that they normally don't 343 00:20:21,880 --> 00:20:24,680 Speaker 4: in a normal economy, as everybody's trying to figure out 344 00:20:24,680 --> 00:20:27,320 Speaker 4: what the hell Trump is actually driving at and what 345 00:20:27,359 --> 00:20:29,760 Speaker 4: the end result might be. So yeah, it could be 346 00:20:29,760 --> 00:20:31,119 Speaker 4: a bit of a wild ride, and you'll see the 347 00:20:31,119 --> 00:20:33,960 Speaker 4: market gyrate and the skyrocket and then drop the next 348 00:20:34,040 --> 00:20:34,879 Speaker 4: day and on and on. 349 00:20:34,960 --> 00:20:39,200 Speaker 2: Let's hope stability returns at some point. Speaking to the negotiations, 350 00:20:39,200 --> 00:20:41,840 Speaker 2: there's Trump on the town hall he did on News 351 00:20:41,960 --> 00:20:45,879 Speaker 2: Nation last night that included Cuomo, my weight lifting buddy, 352 00:20:46,840 --> 00:20:52,280 Speaker 2: Bill O'Reilly huh, and Steven A. Smith. I'll be darned, 353 00:20:52,320 --> 00:20:54,200 Speaker 2: it's quite the trio, I'd say so. 354 00:20:54,240 --> 00:20:57,720 Speaker 6: But here's Trump when negotiated with South Korea, when negotiated 355 00:20:57,720 --> 00:21:03,280 Speaker 6: with Japan, when negotiated with a lot of different many many. 356 00:21:03,359 --> 00:21:06,320 Speaker 6: India is a very big They want to make a 357 00:21:06,359 --> 00:21:08,960 Speaker 6: deal so bad, you're not telling anything out of school. 358 00:21:09,200 --> 00:21:11,399 Speaker 6: We're going to make great deals for America. Instead of 359 00:21:11,440 --> 00:21:14,760 Speaker 6: bed and if I didn't take this hard line, India 360 00:21:14,800 --> 00:21:19,680 Speaker 6: as an example, had no interest in negotiating with anybody 361 00:21:19,840 --> 00:21:20,160 Speaker 6: I saw. 362 00:21:21,600 --> 00:21:23,800 Speaker 2: I don't know why cut off like that. I saw 363 00:21:23,880 --> 00:21:26,439 Speaker 2: one of Trump's people on one of the shows yesterday 364 00:21:26,440 --> 00:21:28,080 Speaker 2: talking about we're close on the whole India thing. The 365 00:21:28,160 --> 00:21:30,880 Speaker 2: anything's going to be announced soon, so that'd be interesting. 366 00:21:31,280 --> 00:21:35,480 Speaker 2: I wonder if India, which is a shockingly small economy, 367 00:21:35,520 --> 00:21:37,560 Speaker 2: given the fact that it's the biggest country on Earth, 368 00:21:38,160 --> 00:21:41,159 Speaker 2: in the way that China used to be, but I 369 00:21:41,200 --> 00:21:43,919 Speaker 2: wonder if they come around, if that puts more pressure 370 00:21:43,960 --> 00:21:44,760 Speaker 2: on China. 371 00:21:47,000 --> 00:21:51,920 Speaker 4: Yes, yeah, I think so. Yeah, it was really interesting. 372 00:21:52,000 --> 00:21:54,359 Speaker 4: I don't know if y'all saw a special report with 373 00:21:54,359 --> 00:21:56,520 Speaker 4: Prett Behar last night, but he was talking to the 374 00:21:56,640 --> 00:22:00,760 Speaker 4: US's what's the official term, the trade negotiator. That's not right, 375 00:22:00,800 --> 00:22:05,240 Speaker 4: but it's the head guy who negotiates trade. And he 376 00:22:05,400 --> 00:22:08,000 Speaker 4: was showing Brett the book they have, and it's quite 377 00:22:08,040 --> 00:22:10,480 Speaker 4: a thick book. It looks like a you know, a textbook, 378 00:22:10,480 --> 00:22:14,879 Speaker 4: so covered textbook of the non tear off trade barriers 379 00:22:15,920 --> 00:22:19,280 Speaker 4: that all of our trading partners have, you know, their 380 00:22:19,320 --> 00:22:24,760 Speaker 4: protectionist policies, their special fees, their regulations that only their 381 00:22:24,800 --> 00:22:28,320 Speaker 4: domestic people can follow. So's it's a barrier that looks like, 382 00:22:28,480 --> 00:22:32,200 Speaker 4: you know, a reasonable regulation. And the guy was making 383 00:22:32,200 --> 00:22:34,200 Speaker 4: the point that, yeah, we're trying to entangle a lot 384 00:22:34,240 --> 00:22:37,880 Speaker 4: of this stuff in every country is different, but it's 385 00:22:37,920 --> 00:22:42,480 Speaker 4: a thicket of really difficult to justify at this point 386 00:22:42,480 --> 00:22:46,320 Speaker 4: in the twenty first century, barriers to US companies being 387 00:22:46,359 --> 00:22:49,320 Speaker 4: able to sell their goods over seas. I think at 388 00:22:49,320 --> 00:22:53,920 Speaker 4: its heart, a lot of this stuff is really really good. 389 00:22:54,000 --> 00:22:56,239 Speaker 4: I might not love the way Trump's going about it, 390 00:22:56,480 --> 00:22:58,399 Speaker 4: but I thought that was really interesting and revealing, and 391 00:22:58,400 --> 00:22:59,960 Speaker 4: I wish more Americans knew about that. 392 00:23:00,840 --> 00:23:02,840 Speaker 2: I saw that article you were referencing in the Wall 393 00:23:02,840 --> 00:23:04,919 Speaker 2: Street Journal about how China's in trouble and this is 394 00:23:04,920 --> 00:23:08,000 Speaker 2: really hurting them. So wouldn't that be something if they like, 395 00:23:08,119 --> 00:23:12,240 Speaker 2: are really really getting pinched hard and have to come around. Wow. 396 00:23:13,240 --> 00:23:16,120 Speaker 4: Yeah, the piece is all about how they're really feeling 397 00:23:16,160 --> 00:23:19,439 Speaker 4: the pinch and doing their best to hide it and making, 398 00:23:19,760 --> 00:23:22,200 Speaker 4: you know, strong statements about they are willing to fight 399 00:23:22,280 --> 00:23:22,960 Speaker 4: till the end. 400 00:23:23,800 --> 00:23:24,800 Speaker 2: But they've got. 401 00:23:24,760 --> 00:23:28,280 Speaker 4: Millions and millions of jobs at stake or now idled. 402 00:23:28,320 --> 00:23:33,000 Speaker 4: They've got factories shutting down, dropping export orders, weakest production 403 00:23:33,080 --> 00:23:34,680 Speaker 4: of the country's factories in more than a year. 404 00:23:34,680 --> 00:23:36,360 Speaker 2: A lot of the numbers look like the early. 405 00:23:36,240 --> 00:23:40,720 Speaker 4: Days of COVID, So yeah, it may be uh not 406 00:23:41,240 --> 00:23:43,720 Speaker 4: more than a couple of minutes before, at least in 407 00:23:43,760 --> 00:23:48,199 Speaker 4: the back channels, China's calling old you know, Trumper or 408 00:23:48,200 --> 00:23:51,920 Speaker 4: as negotiators and saying, hey, hey, this is so crazy. 409 00:23:52,040 --> 00:23:54,720 Speaker 4: I said stuff. I regret you said stuff. I'm sure 410 00:23:54,760 --> 00:23:56,160 Speaker 4: you regret. Let's come to a deal. 411 00:23:57,359 --> 00:23:59,760 Speaker 2: Parenting question, what's the best way to deal with this? 412 00:24:01,119 --> 00:24:04,680 Speaker 2: My kids keep losing our fingernail clippers. Make them buy 413 00:24:04,760 --> 00:24:07,840 Speaker 2: another pair. They don't cost much, so I don't know 414 00:24:07,840 --> 00:24:09,840 Speaker 2: if it's much of a penalty. But I just keep 415 00:24:09,880 --> 00:24:13,359 Speaker 2: getting them and they just disappear, and nobody claims to 416 00:24:13,400 --> 00:24:17,280 Speaker 2: have any idea where they are, Like, nobody claims they 417 00:24:17,359 --> 00:24:19,879 Speaker 2: used it last or anything. They just disappear. And it 418 00:24:19,880 --> 00:24:22,119 Speaker 2: ain't me because I was able to hang onto the 419 00:24:22,160 --> 00:24:27,840 Speaker 2: same fingernail clippers like for decades prior to children. Yeah, yeah, 420 00:24:28,760 --> 00:24:29,800 Speaker 2: that's a new one on there. 421 00:24:30,359 --> 00:24:30,560 Speaker 5: You know. 422 00:24:30,560 --> 00:24:33,080 Speaker 2: I'm tempted to say them, are there like ten pairs 423 00:24:33,080 --> 00:24:35,920 Speaker 2: of toenail clippers underneath your bed? Somewhere or something whatever 424 00:24:35,920 --> 00:24:38,239 Speaker 2: are they going, Yes, it's Michael Well. Hanson has an 425 00:24:38,240 --> 00:24:41,359 Speaker 2: interesting idea. He said, every time they lose them, have 426 00:24:41,520 --> 00:24:45,240 Speaker 2: them buy you two pairs by two. Yeah. Wow, is 427 00:24:45,240 --> 00:24:48,440 Speaker 2: it punished now, that's a disincentive. Yeah. Or put them 428 00:24:48,440 --> 00:24:50,200 Speaker 2: on a chain like it's a penn at an old 429 00:24:50,240 --> 00:24:54,760 Speaker 2: timey bank, right, and they just hang there on the counter. Yeah, 430 00:24:54,880 --> 00:24:57,320 Speaker 2: to swing your foot up on the sink or something. 431 00:24:57,800 --> 00:24:58,480 Speaker 2: You know, it's funny. 432 00:24:58,480 --> 00:25:02,399 Speaker 4: I've never had a great memory of the past. I 433 00:25:02,440 --> 00:25:04,960 Speaker 4: have friends who have near photographic memories who remind me 434 00:25:05,000 --> 00:25:06,840 Speaker 4: of the high jinks we got into in school and 435 00:25:06,880 --> 00:25:08,960 Speaker 4: that sort of thing, and I'm like, that happened, really, 436 00:25:09,000 --> 00:25:13,480 Speaker 4: that's crazy. But there are certain memories I have that 437 00:25:13,600 --> 00:25:15,640 Speaker 4: just seared themselves into my brain. And one of them 438 00:25:15,760 --> 00:25:22,840 Speaker 4: is I was in sixth or seventh grade, which is it? 439 00:25:26,760 --> 00:25:31,920 Speaker 4: And I was a typical tussle haired American youth, sweaty 440 00:25:31,920 --> 00:25:34,520 Speaker 4: and dirty all day long, playing baseball all day and 441 00:25:34,560 --> 00:25:37,680 Speaker 4: my mom would constantly harangue me to clean my finger 442 00:25:38,000 --> 00:25:40,080 Speaker 4: under my fingernails and clip my nails now and again 443 00:25:40,080 --> 00:25:42,480 Speaker 4: because I didn't give a damn And one. 444 00:25:42,440 --> 00:25:46,000 Speaker 2: Day long fingernails are disgusting to me. Oh, they're horrible. 445 00:25:46,000 --> 00:25:48,160 Speaker 2: I mentioned that from the Bob Dylan movie because every 446 00:25:48,240 --> 00:25:50,120 Speaker 2: every interview I've ever seen with him, if you see 447 00:25:50,119 --> 00:25:52,280 Speaker 2: his hands, his long, dirty pig nails. They did a 448 00:25:52,280 --> 00:25:55,320 Speaker 2: good job of having Timothy Shallowmey replicate that in the 449 00:25:55,359 --> 00:25:58,440 Speaker 2: movie So Gross. He was old enough to know better. 450 00:25:58,480 --> 00:25:58,840 Speaker 2: But there. 451 00:25:58,880 --> 00:26:02,359 Speaker 4: I am a middle school youth and we were at 452 00:26:02,600 --> 00:26:06,240 Speaker 4: some outdoor event and I asked my mom if she 453 00:26:06,400 --> 00:26:09,200 Speaker 4: had nail clippers. I said, yeah, I really need to 454 00:26:09,200 --> 00:26:13,040 Speaker 4: clip my nails. And she gave me a look and chuckled, 455 00:26:13,880 --> 00:26:17,840 Speaker 4: and I knew, and she knew that. I knew that 456 00:26:17,920 --> 00:26:20,920 Speaker 4: she knew it was because I had a girlfriend. 457 00:26:21,240 --> 00:26:25,840 Speaker 7: Ah, And that exchange of looks and my mom's chuckle, 458 00:26:25,920 --> 00:26:29,320 Speaker 7: for some reason, is just seared into my memory because 459 00:26:29,359 --> 00:26:32,280 Speaker 7: I was mildly embarrassed and she my mom was a 460 00:26:32,400 --> 00:26:34,720 Speaker 7: very kind and loving person, but she. 461 00:26:34,760 --> 00:26:36,960 Speaker 4: Made it clear, Okay, now you got a girlfriend, saw 462 00:26:37,040 --> 00:26:38,359 Speaker 4: you don't want to look like a HOPEO. 463 00:26:38,880 --> 00:26:39,000 Speaker 1: Right. 464 00:26:39,119 --> 00:26:41,400 Speaker 2: That has worked. That has helped me with my son, 465 00:26:41,520 --> 00:26:44,480 Speaker 2: my high schooler. Oh, the girl's coming into his life. 466 00:26:44,520 --> 00:26:47,040 Speaker 2: He definitely, uh, you know, I don't have to bug 467 00:26:47,119 --> 00:26:48,959 Speaker 2: him to shower or any that sort of thing. It's 468 00:26:49,040 --> 00:26:52,600 Speaker 2: more of a how much cologne is enough? Is bigger problem? 469 00:26:53,280 --> 00:26:57,000 Speaker 4: It's oh lord, yeah, I'm distracted by even the noveled 470 00:26:57,040 --> 00:26:58,080 Speaker 4: of the thought of that. 471 00:26:58,520 --> 00:27:02,040 Speaker 2: Uh yeah. The U a role in the in. 472 00:27:01,920 --> 00:27:04,679 Speaker 4: My life, of the various good women who have common 473 00:27:04,800 --> 00:27:08,400 Speaker 4: some gone in getting me to be a non idiot 474 00:27:08,920 --> 00:27:12,160 Speaker 4: non slacker cannot be overstated. 475 00:27:14,119 --> 00:27:16,360 Speaker 2: Men left to their own devices, if you didn't have 476 00:27:16,400 --> 00:27:22,360 Speaker 2: that element to it would be poorly dressed, unkempt, bad smelling, 477 00:27:23,680 --> 00:27:27,880 Speaker 2: and in many cases unambitious. True. 478 00:27:28,440 --> 00:27:31,800 Speaker 4: As I've said before, you know, I'll not get specific 479 00:27:31,800 --> 00:27:35,920 Speaker 4: into this, but I am willing to be a loser 480 00:27:36,040 --> 00:27:38,400 Speaker 4: in my own eyes. I'm not willing to be a. 481 00:27:38,359 --> 00:27:41,480 Speaker 2: Loser in her eyes or your kids kids do that 482 00:27:41,720 --> 00:27:48,840 Speaker 2: or oh goodness knows. Yeah, right, if you have a suggestion, 483 00:27:49,040 --> 00:27:51,080 Speaker 2: I like the idea of making them by two bears. 484 00:27:52,920 --> 00:27:54,439 Speaker 2: At some point, I think we're going to figure out 485 00:27:54,480 --> 00:27:56,160 Speaker 2: where they go and we're just going to be swimming 486 00:27:56,160 --> 00:28:01,800 Speaker 2: and fringing out clippers. Trump fired as National security advisor. 487 00:28:01,880 --> 00:28:03,480 Speaker 2: Don't know if this is how big a deal this is, 488 00:28:03,560 --> 00:28:06,840 Speaker 2: or if this is for reasons of disagreement or or what, 489 00:28:07,040 --> 00:28:09,240 Speaker 2: but we're keeping on our own that among other stories. 490 00:28:09,240 --> 00:28:28,400 Speaker 5: Stay here there. 491 00:28:28,520 --> 00:28:34,560 Speaker 4: You have your national champions seagull imitator kid in Britain. 492 00:28:35,440 --> 00:28:37,400 Speaker 2: It's the contest they have every year, and you want 493 00:28:37,400 --> 00:28:39,240 Speaker 2: it for the second year in a row because he 494 00:28:39,320 --> 00:28:42,440 Speaker 2: sounds exactly like a seagull. Yeah, yes, that's why, and 495 00:28:42,880 --> 00:28:45,480 Speaker 2: the crowd went wild. That used to be. 496 00:28:45,440 --> 00:28:48,600 Speaker 4: The world's most important empire, Great Britain. 497 00:28:50,120 --> 00:28:52,680 Speaker 2: He's good though, that was a pretty good seagull. He 498 00:28:52,800 --> 00:28:57,719 Speaker 2: was beyond good based on my memory. Fantastic. So Kamala 499 00:28:57,760 --> 00:28:59,560 Speaker 2: Harris gave a speech last night. It kind of her 500 00:28:59,600 --> 00:29:03,640 Speaker 2: comeback speech. I have resigned myself to the fact that 501 00:29:03,680 --> 00:29:06,840 Speaker 2: she's going to be the freaking governor of California. No 502 00:29:07,240 --> 00:29:10,840 Speaker 2: oh yeah, you want to bet money. The only question 503 00:29:10,920 --> 00:29:16,080 Speaker 2: is whether she want runs or not. Anyway, I haven't 504 00:29:16,080 --> 00:29:18,680 Speaker 2: heard this portion of the speech, and then I've got 505 00:29:18,720 --> 00:29:23,640 Speaker 2: some uh, some punditry around it. What number was it? 506 00:29:23,640 --> 00:29:28,760 Speaker 2: It stand by everyone sixty three who saw. 507 00:29:28,520 --> 00:29:31,000 Speaker 8: That video from a couple of weeks ago, the one 508 00:29:31,080 --> 00:29:34,680 Speaker 8: of the elephants at the San Diego Zoo during the earthquake. 509 00:29:37,480 --> 00:29:42,280 Speaker 8: Google it if you've not seen it. So that scene 510 00:29:42,360 --> 00:29:45,400 Speaker 8: has been on my mind. Everybody's asked me what you've 511 00:29:45,400 --> 00:29:52,160 Speaker 8: been thinking about these days? Well so in the video, 512 00:29:52,200 --> 00:29:55,160 Speaker 8: for those who haven't seen it, here those elephants were 513 00:29:56,600 --> 00:30:00,000 Speaker 8: and as soon as they felt the earth shaking beneath 514 00:30:00,120 --> 00:30:05,360 Speaker 8: their feet, they got in a circle and stood next 515 00:30:05,400 --> 00:30:09,640 Speaker 8: to each other to protect the most vulnerable. 516 00:30:11,720 --> 00:30:19,200 Speaker 2: Think about it. What a powerful metaphor. So I'm I'm 517 00:30:19,240 --> 00:30:22,160 Speaker 2: predisposed to not like her because she's black and a woman. 518 00:30:23,520 --> 00:30:28,400 Speaker 4: But that was parody, friends, that was parody, sarcasm. 519 00:30:28,560 --> 00:30:31,240 Speaker 2: But but so yeah, I just I don't like her personality. 520 00:30:31,440 --> 00:30:34,960 Speaker 2: And I so I could see how because the crowd 521 00:30:35,000 --> 00:30:36,360 Speaker 2: was digging in. I mean, you heard them there. I 522 00:30:36,360 --> 00:30:40,960 Speaker 2: don't know who those people are. There was somebody wrote 523 00:30:41,960 --> 00:30:43,960 Speaker 2: one of the reviews of the speech, was there is 524 00:30:44,000 --> 00:30:47,280 Speaker 2: a clamoring for her voice right now, said a former 525 00:30:47,280 --> 00:30:50,120 Speaker 2: Harris senior advisor, to which Charles C. W. Cook responded 526 00:30:50,160 --> 00:30:53,360 Speaker 2: in the National Review. There is not. There has, in fact, 527 00:30:53,480 --> 00:30:56,400 Speaker 2: never ever been less of a clamoring for anything that 528 00:30:56,520 --> 00:30:59,120 Speaker 2: is on offer. In the history of clamoring, no people 529 00:30:59,120 --> 00:31:01,960 Speaker 2: has ever clamored left. The American people are clamoring for 530 00:31:02,040 --> 00:31:06,600 Speaker 2: Kamala Harris's voice. She is clamorless she is a hollow clamory, 531 00:31:06,920 --> 00:31:11,840 Speaker 2: which is pretty funny. I agree. I don't know who 532 00:31:11,840 --> 00:31:14,680 Speaker 2: are those people that are clamoring for They're people that 533 00:31:14,720 --> 00:31:17,360 Speaker 2: are gonna benefit from her being governor. That's who they are. 534 00:31:17,960 --> 00:31:23,360 Speaker 4: Yeah, her posse, they will benefit financially from her. 535 00:31:23,240 --> 00:31:26,360 Speaker 2: Being governor and it'll give them more power. But then 536 00:31:27,440 --> 00:31:31,760 Speaker 2: Tim Walls also did a speech recently or did an interview, 537 00:31:32,240 --> 00:31:35,080 Speaker 2: and he said, look, we had the most qualified person 538 00:31:35,320 --> 00:31:37,880 Speaker 2: who'd ever run for president in the country's history at 539 00:31:37,880 --> 00:31:39,960 Speaker 2: the top of the ticket, that in itself should have 540 00:31:40,000 --> 00:31:44,800 Speaker 2: got this thing one. That's an absurd assertion. Yeah, I'm 541 00:31:44,800 --> 00:31:47,520 Speaker 2: a number of people who responded to that. Megan mccardial, 542 00:31:47,720 --> 00:31:50,040 Speaker 2: now of The Dispatch, formerly of The Washington Post, I think, 543 00:31:50,120 --> 00:31:52,160 Speaker 2: or maybe she's still the Washington's Post. I don't know. Anyway, 544 00:31:52,640 --> 00:31:55,720 Speaker 2: I like her act. The most qualified people ever have 545 00:31:55,800 --> 00:32:00,520 Speaker 2: included Eisenhower, Bush, one Grant, Fdr Herbert Hoover, a list 546 00:32:00,520 --> 00:32:04,000 Speaker 2: that suggests, first of all, qualifications don't guarantee results, which 547 00:32:04,040 --> 00:32:06,680 Speaker 2: is true, but at any rate, that lesson does not 548 00:32:06,840 --> 00:32:12,880 Speaker 2: by any metric, include Kamala Harris at all, which obviously 549 00:32:12,960 --> 00:32:13,320 Speaker 2: is true. 550 00:32:14,280 --> 00:32:16,080 Speaker 4: Or are you going to run the Tim Wall's clip 551 00:32:16,120 --> 00:32:18,480 Speaker 4: that we have. I wasn't plan but this has gotten 552 00:32:18,480 --> 00:32:19,120 Speaker 4: a bit of attention. 553 00:32:19,200 --> 00:32:22,520 Speaker 2: Yeah, I hit it. What's your Michael sixty five? I 554 00:32:22,600 --> 00:32:23,960 Speaker 2: knew I was on the ticket. 555 00:32:24,680 --> 00:32:26,760 Speaker 9: I would argue because we did a lot of amazing 556 00:32:26,840 --> 00:32:29,720 Speaker 9: progressive things in Minnesota that improved people's lives. But I 557 00:32:29,760 --> 00:32:32,840 Speaker 9: also was on the ticket quite honestly, you know, because 558 00:32:32,880 --> 00:32:36,480 Speaker 9: I could code talk to white guys watching football fixing 559 00:32:36,520 --> 00:32:39,480 Speaker 9: their truck doing that that I could put them at ease. 560 00:32:40,280 --> 00:32:40,480 Speaker 2: Yeah. 561 00:32:40,520 --> 00:32:42,400 Speaker 4: I know a lot of guys like that, Tim, and 562 00:32:42,600 --> 00:32:45,840 Speaker 4: they all think here of Putts. They all think here 563 00:32:46,120 --> 00:32:49,640 Speaker 4: just a ridiculous weak act and a parody of what 564 00:32:49,680 --> 00:32:50,280 Speaker 4: you claim to be. 565 00:32:50,640 --> 00:32:52,600 Speaker 2: Yeah, so you were you were not the guy to 566 00:32:52,640 --> 00:32:58,920 Speaker 2: code talk to that crowd. Yeah. The polster for CNN 567 00:32:59,160 --> 00:33:01,920 Speaker 2: pointed out to in their own polling. He was on 568 00:33:02,000 --> 00:33:07,040 Speaker 2: CNN today on the question of who'd be doing a 569 00:33:07,080 --> 00:33:10,920 Speaker 2: better job as president at this point, Trump or Harris. 570 00:33:11,880 --> 00:33:16,960 Speaker 2: Trump wins forty five forty three, and the CNN polster 571 00:33:17,120 --> 00:33:19,680 Speaker 2: said these numbers should be a major wake up call 572 00:33:19,760 --> 00:33:24,040 Speaker 2: for Democrats. Even now, with Trump's softer numbers and everything 573 00:33:24,080 --> 00:33:28,640 Speaker 2: that's happened, Trump still beats Democrats. He beats Harris forty 574 00:33:28,680 --> 00:33:31,000 Speaker 2: five forty three. And then on the question who's doing 575 00:33:31,040 --> 00:33:36,560 Speaker 2: a better job Trump or Congress Dems in Congress, Trump 576 00:33:36,560 --> 00:33:39,520 Speaker 2: wins forty thirty two. On who can deal better with 577 00:33:39,560 --> 00:33:46,280 Speaker 2: the US's problems. Wow, even at this point, I saw 578 00:33:46,320 --> 00:33:49,480 Speaker 2: a poll, well, go ahead. I saw a poel yesterday 579 00:33:49,520 --> 00:33:53,680 Speaker 2: on Republicans about their own party, Democrats about their own party. 580 00:33:53,840 --> 00:33:58,560 Speaker 2: Republicans approval rating of their own party in Congresses in 581 00:33:58,600 --> 00:34:02,440 Speaker 2: the mid forties. For Democrats, it's the lowest number they've 582 00:34:02,480 --> 00:34:06,200 Speaker 2: ever had in the low twenties of Democrats, and they're 583 00:34:06,200 --> 00:34:10,400 Speaker 2: feeling about their own Congress. Michael, get clip eleven. 584 00:34:10,480 --> 00:34:13,800 Speaker 4: Ready, you're saying, people think Trump does a better job 585 00:34:13,880 --> 00:34:16,200 Speaker 4: than the Democrats in Congress. 586 00:34:16,239 --> 00:34:18,520 Speaker 2: In spite of this, Yetta. 587 00:34:18,360 --> 00:34:27,400 Speaker 1: Die and and Ytta die and eye, you must build 588 00:34:27,400 --> 00:34:32,600 Speaker 1: this world from. 589 00:34:28,239 --> 00:34:37,040 Speaker 4: The Democrats singing on the Capitol steps, Yetta Diea. 590 00:34:39,040 --> 00:34:46,120 Speaker 2: This is not slaying your opinion. You're not impressed. I 591 00:34:46,160 --> 00:34:51,400 Speaker 2: always so glad that that generation is gone that remembers 592 00:34:51,560 --> 00:34:54,680 Speaker 2: the civil rights movement. That's enough, Michael, the whole generation, 593 00:34:54,920 --> 00:34:57,640 Speaker 2: more than enough, the whole generation that you know, for 594 00:34:57,719 --> 00:35:00,000 Speaker 2: a for a valid cause. And it was very successfu 595 00:35:00,719 --> 00:35:02,600 Speaker 2: marched and sang on the steps and everything like that 596 00:35:02,640 --> 00:35:04,960 Speaker 2: for civil rights democrats ever since then tried to do 597 00:35:05,000 --> 00:35:09,040 Speaker 2: that with every freaking issue, whether it's DOGE or trans 598 00:35:09,200 --> 00:35:09,840 Speaker 2: or whatever. 599 00:35:10,680 --> 00:35:14,520 Speaker 4: Ah enough right, it's it reminds me of like you 600 00:35:14,560 --> 00:35:18,120 Speaker 4: go into your your dad's closet and take his Vietnam 601 00:35:18,360 --> 00:35:21,960 Speaker 4: War fatigues and put him on to go down to 602 00:35:22,000 --> 00:35:23,960 Speaker 4: the Little league meeting to talk about whether you had 603 00:35:24,000 --> 00:35:25,400 Speaker 4: to have an outfield fence or not. 604 00:35:25,880 --> 00:35:28,919 Speaker 2: No, you're not fighting that war. Quit acting like you are. 605 00:35:29,000 --> 00:35:33,120 Speaker 2: It's pathetic, armstrong and getty.