1 00:00:01,960 --> 00:00:06,240 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,320 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe, Katty. 3 00:00:10,280 --> 00:00:20,159 Speaker 2: Arm Strong and Jetty and he Armstrong and Yetty. So 4 00:00:20,280 --> 00:00:22,280 Speaker 2: nobody watched this but me. I wish I got more 5 00:00:22,280 --> 00:00:25,119 Speaker 2: attention across America. It was Friday night or whatever in 6 00:00:25,120 --> 00:00:27,120 Speaker 2: New York City the Al Smith Dinner, and it's something 7 00:00:27,160 --> 00:00:29,960 Speaker 2: they have on a regular basis, is a big fundraiser 8 00:00:30,000 --> 00:00:35,520 Speaker 2: for the Catholics, and traditionally both presidential camp candidates show 9 00:00:35,600 --> 00:00:37,480 Speaker 2: up and make jokes about each other. 10 00:00:37,920 --> 00:00:40,600 Speaker 1: That's the way it's always been for whatever reason, and 11 00:00:40,640 --> 00:00:43,000 Speaker 1: nobody's exactly sure. Kamala Harris didn't show up to this 12 00:00:43,080 --> 00:00:47,880 Speaker 1: one this year, first time anybody's skipped it in forty years. 13 00:00:48,040 --> 00:00:51,640 Speaker 1: And my theory is that she cannot pull off humor. 14 00:00:52,240 --> 00:00:55,800 Speaker 1: She can't like, she doesn't have control of her voice 15 00:00:55,800 --> 00:00:59,160 Speaker 1: and her facial expressions and her weird cackle. 16 00:00:59,320 --> 00:01:01,800 Speaker 3: I just I don't think she can do humor. I 17 00:01:01,800 --> 00:01:02,200 Speaker 3: don't know. 18 00:01:02,600 --> 00:01:06,319 Speaker 1: Jim Gaffigan, the comedian who's been doing Tim Walls and 19 00:01:06,319 --> 00:01:08,880 Speaker 1: Saturday Live, he was the MC and one of his 20 00:01:09,000 --> 00:01:11,080 Speaker 1: jokes at the beginning was, Hey, camelist, so you can 21 00:01:11,120 --> 00:01:15,080 Speaker 1: go on Howard Stern the View, he listened the podcast 22 00:01:15,440 --> 00:01:19,119 Speaker 1: Your Daddy. He listed all those things the comments did. 23 00:01:19,120 --> 00:01:21,600 Speaker 1: But you can't come here to raise money for the Catholics. Okay, 24 00:01:21,800 --> 00:01:23,440 Speaker 1: I mean it wasn't really a joke. It was just 25 00:01:23,480 --> 00:01:27,920 Speaker 1: a criticism really. But one of the weird things about 26 00:01:28,000 --> 00:01:30,680 Speaker 1: is there's just lots of Democrats and Republicans there of 27 00:01:30,720 --> 00:01:33,520 Speaker 1: all different stripes. And Trump was up there doing his 28 00:01:33,760 --> 00:01:36,919 Speaker 1: comedy bit, which was pretty damn funny, with Chuck Schumer 29 00:01:36,959 --> 00:01:40,560 Speaker 1: sitting right there with him. I mean, so to me, 30 00:01:40,920 --> 00:01:45,279 Speaker 1: if you're believing Trump is Hitler in an existential threat, 31 00:01:45,959 --> 00:01:49,240 Speaker 1: none of us should be in the same room with them. Shouldn't, 32 00:01:49,400 --> 00:01:52,720 Speaker 1: let alone sitting there laughing at his jokes. Yeah, picture 33 00:01:52,880 --> 00:01:55,760 Speaker 1: Churchill there at some fundraiser was Hitler. I don't know, 34 00:01:55,840 --> 00:02:00,360 Speaker 1: Save the Way whatever, Carson. We also have disagreements. I 35 00:02:00,400 --> 00:02:05,160 Speaker 1: don't like his mustache. Right anyway. I got a bunch 36 00:02:05,160 --> 00:02:07,240 Speaker 1: of clips who are gonna sprinkle throughout the show today. 37 00:02:07,240 --> 00:02:09,480 Speaker 1: But here's a little bit of Trump when he first 38 00:02:09,520 --> 00:02:11,240 Speaker 1: started his routine. 39 00:02:10,880 --> 00:02:14,000 Speaker 4: May Adams, good luck with everything, and they went after you. 40 00:02:15,680 --> 00:02:17,000 Speaker 4: They went after your mayor. 41 00:02:18,840 --> 00:02:20,120 Speaker 1: Ah, boy, I do that. 42 00:02:21,720 --> 00:02:23,400 Speaker 4: Nine and a half months ago, I said, and he 43 00:02:23,480 --> 00:02:26,920 Speaker 4: just said something about it, about the administration. He's going 44 00:02:26,960 --> 00:02:31,480 Speaker 4: to be indicted any moment, and guess what happened. But 45 00:02:31,520 --> 00:02:33,360 Speaker 4: you're gonna win. I think you're gonna win. I know 46 00:02:33,400 --> 00:02:33,960 Speaker 4: you're gonna win. 47 00:02:34,280 --> 00:02:36,360 Speaker 3: Said, good luck, good luck. 48 00:02:37,240 --> 00:02:39,240 Speaker 4: It's a tor pleasure to be with you this evening, 49 00:02:39,680 --> 00:02:45,520 Speaker 4: amazing pleasure, and these days it's brilliant pleasure anywhere in 50 00:02:45,560 --> 00:02:53,080 Speaker 4: New York without a subpoena for my appearance anytime I 51 00:02:53,120 --> 00:02:57,600 Speaker 4: don't get a subpoena. I'm very happy they've gone after me. 52 00:02:57,880 --> 00:03:02,160 Speaker 4: Mister Mayor. Your peanuts compared to what they've done today, 53 00:03:03,440 --> 00:03:06,519 Speaker 4: and you're gonna be okay. 54 00:03:06,360 --> 00:03:08,960 Speaker 1: The idea of joking about all that sort of stuff, 55 00:03:09,600 --> 00:03:14,079 Speaker 1: Mayor Adams, huh, good luck. Everybody laughs. He's corrup We 56 00:03:14,120 --> 00:03:16,760 Speaker 1: got a corrupt mayor's stealing tens of millions of dollars 57 00:03:16,800 --> 00:03:18,959 Speaker 1: in text. May Oh my god, that's hilarious. Ha ha ha. 58 00:03:19,600 --> 00:03:24,520 Speaker 1: I mean, just me, he got accused of getting the 59 00:03:24,600 --> 00:03:28,959 Speaker 1: hotel upgrades in Turkey and the millions. It just seems 60 00:03:29,000 --> 00:03:35,400 Speaker 1: so weird to me. I know, Trump is more rambly 61 00:03:35,520 --> 00:03:40,040 Speaker 1: and tough to follow than ever. Sorry, I'm supposed to 62 00:03:40,040 --> 00:03:42,600 Speaker 1: be enjoying the jokes. But yeah, he just he leaves 63 00:03:42,600 --> 00:03:47,880 Speaker 1: out so many words, doesn't finish sentences. It just I 64 00:03:47,920 --> 00:03:50,200 Speaker 1: remember interviews he did in the nineties, in the early 65 00:03:50,240 --> 00:03:54,560 Speaker 1: two thousands where he was incisive. You knew precisely what 66 00:03:54,640 --> 00:03:56,800 Speaker 1: he was saying in his reasoning. But he's developed that. 67 00:03:57,320 --> 00:04:00,760 Speaker 1: Maybe it's just a comedic style of his but trailing 68 00:04:00,800 --> 00:04:05,960 Speaker 1: off every sentence anyway, it doesn't matter. So the election 69 00:04:06,120 --> 00:04:08,560 Speaker 1: is tied, has been tied the entire time. I looked 70 00:04:08,560 --> 00:04:12,600 Speaker 1: at a chart, so somebody posted over the weekend the 71 00:04:12,720 --> 00:04:15,760 Speaker 1: line for Trump and the line for Kamala outside of 72 00:04:16,080 --> 00:04:19,120 Speaker 1: and this is the average of the best polls, outside 73 00:04:19,120 --> 00:04:22,320 Speaker 1: of the tiniest wobbles. They've just been a couple of 74 00:04:22,360 --> 00:04:25,680 Speaker 1: points apart the entire time. That has never happened in 75 00:04:25,720 --> 00:04:29,520 Speaker 1: any presidential election since polling began. And it's still just 76 00:04:29,560 --> 00:04:31,720 Speaker 1: in that tiny little margin, within the margin of error. 77 00:04:32,279 --> 00:04:34,479 Speaker 1: And that's where we are in the same with the 78 00:04:34,480 --> 00:04:36,279 Speaker 1: swing states. You got these seven states that are going 79 00:04:36,360 --> 00:04:39,240 Speaker 1: to decide it, and they're all within it, like a point. 80 00:04:39,880 --> 00:04:43,320 Speaker 3: Yeah, it's crazy, It is crazy. Yeah, So everybody's heard that. 81 00:04:43,360 --> 00:04:44,320 Speaker 3: Everybody knows where the. 82 00:04:44,240 --> 00:04:47,560 Speaker 1: Polls are But this is some analysis one amusing and 83 00:04:47,640 --> 00:04:50,880 Speaker 1: two really interesting that they came across that gets away 84 00:04:50,920 --> 00:04:54,200 Speaker 1: from the endless polls stuff. I love this. Richard Shinder 85 00:04:54,240 --> 00:04:58,760 Speaker 1: wrote a piece who says America is in a company, 86 00:04:58,760 --> 00:05:01,880 Speaker 1: but the current presidential race is reminiscent one. The race 87 00:05:01,920 --> 00:05:04,240 Speaker 1: between Kamala Harris and Donald Trump boils down to a 88 00:05:04,360 --> 00:05:10,160 Speaker 1: choice between human resources and sales. Miss Harris's manner is 89 00:05:10,200 --> 00:05:16,040 Speaker 1: that of a typical head of human resources. A well 90 00:05:16,120 --> 00:05:19,640 Speaker 1: run HR team secures talent, gives employees important feedback, et cetera, 91 00:05:20,080 --> 00:05:23,680 Speaker 1: but employees often perceive it as officious and hectoring. They 92 00:05:23,760 --> 00:05:27,120 Speaker 1: associate the department with the delivery of bad news. Given 93 00:05:27,160 --> 00:05:31,599 Speaker 1: its regulatory responsibilities, HR often plays the surveillance and reporting role, 94 00:05:31,960 --> 00:05:38,200 Speaker 1: breeding employee resentment. HR departments can be inscrutable, fostering mistrust. 95 00:05:38,720 --> 00:05:40,720 Speaker 3: So she's the pr professional Trump. 96 00:05:40,560 --> 00:05:44,200 Speaker 1: Meanwhile, as the arch archetypal head of sales, his department 97 00:05:44,240 --> 00:05:46,760 Speaker 1: brings in revenue and sures a company can sell its product. 98 00:05:47,000 --> 00:05:49,760 Speaker 3: The office is essential, but frequently seen as bombastic. 99 00:05:50,000 --> 00:05:52,640 Speaker 1: Sometimes it lacks sufficient attention to detail and can be 100 00:05:52,760 --> 00:05:56,880 Speaker 1: undisciplined with respect to profitability. A single team's well, they 101 00:05:56,920 --> 00:06:00,360 Speaker 1: focus on the top line, ignoring profits and product holiday. 102 00:06:00,360 --> 00:06:01,320 Speaker 3: They just sell. 103 00:06:02,120 --> 00:06:05,200 Speaker 1: Mister Trump's rallies often seem like corporate retreats led by 104 00:06:05,200 --> 00:06:10,039 Speaker 1: an overcaffeinated sales manager. His messages are aspirational, shoot for 105 00:06:10,120 --> 00:06:12,200 Speaker 1: the moon, you'll get tired of winning, et cetera, et cetera. 106 00:06:12,720 --> 00:06:17,799 Speaker 1: And this guy's theory is that while voters can appreciate HR, 107 00:06:18,600 --> 00:06:21,960 Speaker 1: and certainly they understand the importance of sales, we don't 108 00:06:21,960 --> 00:06:24,320 Speaker 1: want the head of HR or the head of sales 109 00:06:24,320 --> 00:06:28,160 Speaker 1: to be running the company. A really good executive understands 110 00:06:28,160 --> 00:06:30,599 Speaker 1: how to meld both vibes and fields. I just thought 111 00:06:30,640 --> 00:06:34,080 Speaker 1: that was funny HR versus sales, But then this to 112 00:06:34,240 --> 00:06:36,520 Speaker 1: a topic we discussed last week. Unless you have any 113 00:06:36,520 --> 00:06:39,359 Speaker 1: comment on HR versus sales, I'm not sure I have 114 00:06:39,520 --> 00:06:46,120 Speaker 1: ever worked with an HR professional that I wasn't afraid 115 00:06:46,279 --> 00:06:48,320 Speaker 1: was going to stab me in the back somehow. 116 00:06:49,160 --> 00:06:50,760 Speaker 3: They have a certain mindset. 117 00:06:51,560 --> 00:06:54,080 Speaker 1: Yeah, yeah, one who I thought was that way turned 118 00:06:54,120 --> 00:06:56,320 Speaker 1: out not to be. But it's the nature of their 119 00:06:56,360 --> 00:07:02,599 Speaker 1: work anyway. So arn A Miss is a consultant and 120 00:07:02,760 --> 00:07:05,440 Speaker 1: polster he is going to be. 121 00:07:06,000 --> 00:07:07,120 Speaker 3: He's being used. 122 00:07:06,960 --> 00:07:09,159 Speaker 1: As a consultant he's not a Fox News employee, but 123 00:07:09,640 --> 00:07:14,160 Speaker 1: he's the head of Fox News Decision Desk that's crunching 124 00:07:14,160 --> 00:07:16,560 Speaker 1: all the numbers, and on election Night is going to 125 00:07:16,640 --> 00:07:20,040 Speaker 1: be in charge of calling various states and analyzing the data. 126 00:07:20,040 --> 00:07:23,440 Speaker 1: We've all seen the coverage, right, and oh, Michael Lett 127 00:07:23,480 --> 00:07:26,040 Speaker 1: reminds you, we've got to find that fabulous parody. Oh yeah, 128 00:07:26,040 --> 00:07:28,200 Speaker 1: old great parody of the Decision desk. It's one of 129 00:07:28,240 --> 00:07:29,840 Speaker 1: my favorite things that we've ever heard. 130 00:07:29,880 --> 00:07:33,840 Speaker 3: We'll definitely be using that to tuesdays from now. Yeah, yeah, indeed. 131 00:07:34,000 --> 00:07:37,400 Speaker 1: But anyway, the man who may call the winner is 132 00:07:37,440 --> 00:07:39,960 Speaker 1: ready to make a prediction for at least when the 133 00:07:40,040 --> 00:07:45,880 Speaker 1: news will come. Tuesday is election deadline day, because if 134 00:07:45,920 --> 00:07:47,920 Speaker 1: you can vote early for a month, what does election 135 00:07:48,040 --> 00:07:52,360 Speaker 1: day mean? But Tuesday you have to vote, right, the 136 00:07:52,440 --> 00:07:56,480 Speaker 1: over under is Saturday, he says, that's probably about right. 137 00:07:56,960 --> 00:07:59,280 Speaker 1: There's zero chance you're going to find out on election day. 138 00:07:59,320 --> 00:08:01,480 Speaker 1: I mean, normally I would plan to stay up late, 139 00:08:01,960 --> 00:08:05,080 Speaker 1: but there's zero chance they're gonna know who won Pennsylvania, 140 00:08:05,200 --> 00:08:11,800 Speaker 1: North Carolina, probably Georgia, so you know, Wisconsin. So yeah, 141 00:08:12,040 --> 00:08:15,520 Speaker 1: we definitely won't know on Tuesday. Yeah, and they go 142 00:08:15,560 --> 00:08:19,240 Speaker 1: into the various various details of why with mail and 143 00:08:19,320 --> 00:08:22,800 Speaker 1: voting and everything so close and then deciding on signatures 144 00:08:22,800 --> 00:08:23,880 Speaker 1: and disputed. 145 00:08:23,440 --> 00:08:24,480 Speaker 3: Ballots and blah blah blah. 146 00:08:24,480 --> 00:08:27,720 Speaker 1: But yeah, yeah, if we know within a week, that'll 147 00:08:27,760 --> 00:08:34,560 Speaker 1: be good, which is unsatisfying, and again there will be 148 00:08:34,840 --> 00:08:41,280 Speaker 1: just just oceans of bitterness, anger, controversy, false memes on 149 00:08:41,320 --> 00:08:47,199 Speaker 1: the internet, disinformation, misinformation, and it's evil cousin mal information 150 00:08:48,080 --> 00:08:49,880 Speaker 1: if a something to look forward to. Part of it 151 00:08:49,920 --> 00:08:52,200 Speaker 1: is because the election is so close, But part of 152 00:08:52,240 --> 00:08:54,120 Speaker 1: it is, you know, well, as you've been saying, the 153 00:08:54,200 --> 00:08:56,960 Speaker 1: whole extending it from election day to election week to 154 00:08:57,000 --> 00:09:02,080 Speaker 1: election month various places. And even if you like the 155 00:09:02,120 --> 00:09:04,560 Speaker 1: idea of making it easier for people to vote, the 156 00:09:04,679 --> 00:09:08,400 Speaker 1: damages it's done to people believing in the vote is 157 00:09:08,480 --> 00:09:13,480 Speaker 1: not worth it. There's no doubt. There's just something about 158 00:09:13,880 --> 00:09:17,720 Speaker 1: finding out days later that makes it feel less real. 159 00:09:18,000 --> 00:09:19,520 Speaker 1: It just it just does. 160 00:09:20,679 --> 00:09:25,000 Speaker 3: Yeah, And it doesn't really matter why or or it doesn't. 161 00:09:25,160 --> 00:09:27,360 Speaker 1: It doesn't do any good to try to talk people 162 00:09:27,400 --> 00:09:32,199 Speaker 1: out of that perception, because the democracy depends on not 163 00:09:32,280 --> 00:09:35,920 Speaker 1: only the fidelity of the vote, obviously, but the perception 164 00:09:36,160 --> 00:09:39,720 Speaker 1: of the fidelity of the vote, and Honestly, if you 165 00:09:39,880 --> 00:09:42,360 Speaker 1: protect the fidelity of the vote, but people perceive that 166 00:09:42,400 --> 00:09:47,520 Speaker 1: it's corrupt, you will lose your democracy. And so and 167 00:09:48,400 --> 00:09:51,400 Speaker 1: I think the rock to vote, get every you know, 168 00:09:51,800 --> 00:09:57,239 Speaker 1: dead person and comatose person and the indigent and the ignorant, 169 00:09:58,040 --> 00:10:00,480 Speaker 1: get a ballot into their hands and have them scrawl 170 00:10:00,480 --> 00:10:04,199 Speaker 1: an X on the line. Movement that's mostly democratic is 171 00:10:04,640 --> 00:10:07,640 Speaker 1: a serious threat to the perception of the fidelity of 172 00:10:07,679 --> 00:10:08,240 Speaker 1: the vote. 173 00:10:08,480 --> 00:10:10,280 Speaker 3: It's difficult to make the case. 174 00:10:10,000 --> 00:10:14,120 Speaker 1: Though it's much easier for you know, I could make 175 00:10:14,160 --> 00:10:17,120 Speaker 1: the preceding rambling paragraph a little more eloquent, and they 176 00:10:17,160 --> 00:10:18,000 Speaker 1: would come back with. 177 00:10:19,880 --> 00:10:22,960 Speaker 3: You're trying to disenfranchise people, right You're trying to keep 178 00:10:23,120 --> 00:10:25,200 Speaker 3: certain groups from voting. 179 00:10:25,679 --> 00:10:28,400 Speaker 1: Right now, that falls disproportionately on minorities. 180 00:10:28,480 --> 00:10:30,160 Speaker 3: Joseph, Okay, here we go. 181 00:10:30,440 --> 00:10:34,120 Speaker 1: Yeah, here's here's another clip Trump from the Al Smith dinner. 182 00:10:34,200 --> 00:10:34,520 Speaker 3: Dig this. 183 00:10:35,360 --> 00:10:39,439 Speaker 4: But the press is reporting the Democrats are starting to panic. 184 00:10:40,559 --> 00:10:43,400 Speaker 4: They're panicking. They are panicking because, you know, the votes 185 00:10:43,400 --> 00:10:45,480 Speaker 4: that are coming and are coming in very very strong 186 00:10:45,520 --> 00:10:47,520 Speaker 4: a certain way. I won't tell you what way that is. 187 00:10:47,559 --> 00:10:53,880 Speaker 4: But Chuck Schumer is here looking very lum It looks 188 00:10:54,600 --> 00:10:59,560 Speaker 4: it looks to love. But look on the bright side, Chuck, 189 00:10:59,600 --> 00:11:04,600 Speaker 4: considering how woke your party has become. If Kamala loses, 190 00:11:04,640 --> 00:11:06,600 Speaker 4: you used to have a chance to become the first 191 00:11:06,640 --> 00:11:07,600 Speaker 4: woman president. 192 00:11:12,880 --> 00:11:14,920 Speaker 1: And I actually said, do you mind if I do that? 193 00:11:15,679 --> 00:11:17,360 Speaker 4: He said, now you gotta do what you gotta do. 194 00:11:17,640 --> 00:11:21,040 Speaker 1: Is a pro he's a profession So I thought that 195 00:11:21,240 --> 00:11:25,360 Speaker 1: it's so the joke in the punchline or something the 196 00:11:25,440 --> 00:11:28,800 Speaker 1: Chuck would get, you know, gender transition surgery and become 197 00:11:28,840 --> 00:11:29,800 Speaker 1: the first woman president. 198 00:11:29,920 --> 00:11:31,360 Speaker 3: And then the I asked Chuck. 199 00:11:31,200 --> 00:11:32,920 Speaker 1: If I could do that, joke says this too much 200 00:11:32,960 --> 00:11:34,120 Speaker 1: for you, and he said, now you do what you 201 00:11:34,120 --> 00:11:37,960 Speaker 1: gotta do. So just again, is he Hitler? Is he 202 00:11:38,040 --> 00:11:40,240 Speaker 1: a threat to democracy? Is it the end of the 203 00:11:40,320 --> 00:11:44,640 Speaker 1: country if Trump's elected president or not? Yeah? I can't 204 00:11:44,640 --> 00:11:47,680 Speaker 1: decide if it's entirely that the phoniness, or if there's 205 00:11:47,720 --> 00:11:50,520 Speaker 1: an element of Chuck Schumer that's like, yes, please do 206 00:11:50,640 --> 00:11:53,080 Speaker 1: take a shot at the lunatic way out there, transit. 207 00:11:53,600 --> 00:11:56,640 Speaker 3: They're not doing me any good. Yeah, that's that's it. 208 00:11:56,720 --> 00:11:59,760 Speaker 3: That's a decent point there. The only person who never 209 00:12:00,200 --> 00:12:02,080 Speaker 3: democrats maniacs, the only. 210 00:12:01,920 --> 00:12:04,560 Speaker 1: Person who never laughed at all. It left one time 211 00:12:04,679 --> 00:12:07,920 Speaker 1: was Mayor Bloomberg, former mayor of New York who ran 212 00:12:08,000 --> 00:12:08,760 Speaker 1: for president. 213 00:12:08,840 --> 00:12:11,480 Speaker 3: Briefly he looked he was very glomp faced. 214 00:12:12,720 --> 00:12:15,520 Speaker 1: He doesn't strike me as much of a great guy 215 00:12:15,559 --> 00:12:19,160 Speaker 1: to have at a party, No kidding. Oh, we need 216 00:12:19,200 --> 00:12:20,880 Speaker 1: to talk about what is that the October thing we 217 00:12:20,920 --> 00:12:23,560 Speaker 1: mentioned because this is be Chober theory. This might change 218 00:12:23,559 --> 00:12:25,360 Speaker 1: your life, the October theory. It's a new thing the 219 00:12:25,400 --> 00:12:27,720 Speaker 1: young people started. Most stuff that the young people started 220 00:12:28,200 --> 00:12:30,560 Speaker 1: going to be around for one day. Probably this will too, 221 00:12:30,760 --> 00:12:32,520 Speaker 1: among other things. We got on the way, stay here. 222 00:12:36,200 --> 00:12:36,640 Speaker 3: Right head. 223 00:12:36,720 --> 00:12:40,120 Speaker 5: Hitter digs in trying it is ready, kicks the livers. 224 00:12:40,200 --> 00:12:43,240 Speaker 5: Rudder takes off, swinging a bouncer to the right side. 225 00:12:43,240 --> 00:12:45,959 Speaker 5: This should do a Taylor collects on the first and 226 00:12:46,080 --> 00:12:49,880 Speaker 5: it's over. The Dodgers have captured the National League pennant 227 00:12:50,040 --> 00:12:54,280 Speaker 5: and they're headed to the World Series. The Dodgers beat 228 00:12:54,360 --> 00:12:56,760 Speaker 5: the Mets at six and win it. Here did I 229 00:12:57,040 --> 00:12:57,800 Speaker 5: ten five? 230 00:12:58,360 --> 00:13:01,680 Speaker 1: So a Dodgers Yankees World Series. It doesn't start until 231 00:13:01,880 --> 00:13:04,000 Speaker 1: Friday for some reason. I don't know why they need 232 00:13:04,000 --> 00:13:07,400 Speaker 1: that many days off, but there you go with that. 233 00:13:07,800 --> 00:13:10,800 Speaker 1: And generally, I think having the biggest stars in the 234 00:13:10,840 --> 00:13:13,520 Speaker 1: game play in the championships of any sport is good. 235 00:13:13,559 --> 00:13:15,480 Speaker 1: And you got show here Tony and you got yeah, 236 00:13:15,520 --> 00:13:17,040 Speaker 1: what's his name for the Yankees that hits all the 237 00:13:17,040 --> 00:13:19,920 Speaker 1: home runs? And there you go, Aaron Judge, there you go. 238 00:13:19,960 --> 00:13:22,280 Speaker 1: Thank you're thinking of or come to Judge have fun 239 00:13:22,320 --> 00:13:25,959 Speaker 1: with that. Would like to be cynical about it, but yeah, 240 00:13:26,000 --> 00:13:28,760 Speaker 1: it sounds exciting. Yankees, Dodgers, bring it on. So we 241 00:13:28,800 --> 00:13:33,400 Speaker 1: have regularly talked about New Year's resolutions being a combination 242 00:13:33,520 --> 00:13:37,160 Speaker 1: of dumb and whyse depending on how you approach it, 243 00:13:37,240 --> 00:13:41,000 Speaker 1: like a specific I don't know, see how long you 244 00:13:41,040 --> 00:13:43,719 Speaker 1: can do a thing doesn't always work out, but kind 245 00:13:43,760 --> 00:13:48,640 Speaker 1: of a reset of maybe some of your worst inclinations. 246 00:13:49,240 --> 00:13:50,680 Speaker 3: Yeah, I think that's a great thing. 247 00:13:50,960 --> 00:13:53,480 Speaker 1: And you don't really have to do it obviously on 248 00:13:53,960 --> 00:13:56,280 Speaker 1: New Year's Eve if you are eating too much or 249 00:13:56,360 --> 00:13:58,400 Speaker 1: drinking too much, or not going to the gym as 250 00:13:58,440 --> 00:14:01,880 Speaker 1: often or whatever you're such suation is you don't have 251 00:14:01,960 --> 00:14:05,520 Speaker 1: to wait till January first to address that. 252 00:14:05,840 --> 00:14:09,640 Speaker 3: May maybe you know when it becomes a need. 253 00:14:10,160 --> 00:14:13,000 Speaker 1: But so young people have decided in some meme that's 254 00:14:13,000 --> 00:14:16,080 Speaker 1: popular on TikTok and social media, the October theory of 255 00:14:16,200 --> 00:14:19,120 Speaker 1: changing your life, which is kind of like a long 256 00:14:19,320 --> 00:14:22,120 Speaker 1: version of the New Year's resolution, I guess from what 257 00:14:22,160 --> 00:14:25,400 Speaker 1: I understand from reading about it. Dubbed October theory, these 258 00:14:25,440 --> 00:14:28,160 Speaker 1: people are rethinking their approach to the last three months 259 00:14:28,160 --> 00:14:30,840 Speaker 1: of the year. The reprop their approach to their life 260 00:14:30,920 --> 00:14:32,880 Speaker 1: on the last three months of the year, using it 261 00:14:32,880 --> 00:14:35,240 Speaker 1: as a time to set goals, pick up new habits, 262 00:14:35,240 --> 00:14:38,760 Speaker 1: and reflect again, essentially taking on the role New Year's plays, 263 00:14:39,240 --> 00:14:42,880 Speaker 1: but for the last quarter of the year. While I 264 00:14:42,920 --> 00:14:46,640 Speaker 1: am perpetually annoyed by the request that we take seriously 265 00:14:46,840 --> 00:14:51,840 Speaker 1: every meme on TikTok or every trend that lasts for 266 00:14:51,880 --> 00:14:54,240 Speaker 1: a day and a half TikTok challenge, people are driving 267 00:14:54,320 --> 00:14:57,440 Speaker 1: nails into their ears. It's sweeping the nation, and several 268 00:14:57,560 --> 00:15:01,280 Speaker 1: kids have gone deaf well, right. And it's interesting because 269 00:15:01,720 --> 00:15:05,960 Speaker 1: back in the day before electronic media, social media ideas 270 00:15:06,000 --> 00:15:08,880 Speaker 1: would evolve fairly slowly. They would have to have a 271 00:15:08,880 --> 00:15:11,240 Speaker 1: certain amount of consensus, and then you'd have to communicate 272 00:15:11,240 --> 00:15:12,840 Speaker 1: them to other people and that sort of thing, and 273 00:15:13,080 --> 00:15:15,800 Speaker 1: I think there was a real vetting process. Now, the 274 00:15:15,800 --> 00:15:18,400 Speaker 1: most idiotic idea in the world, for instance, driving nails 275 00:15:18,400 --> 00:15:20,800 Speaker 1: into your ears, you know that could. 276 00:15:20,600 --> 00:15:24,400 Speaker 3: Sweep the globe in thirty six hours and be gone. Huh. 277 00:15:24,520 --> 00:15:27,360 Speaker 1: But I am remind this October theory. I'm reminded of. 278 00:15:27,520 --> 00:15:30,920 Speaker 1: You know, every year after Labor Day, when we come 279 00:15:30,960 --> 00:15:33,160 Speaker 1: back and do the show, at the beginning of the show, 280 00:15:33,880 --> 00:15:36,480 Speaker 1: usually say something to the effect of a summer's over. 281 00:15:36,760 --> 00:15:39,040 Speaker 1: Play time is over, it's time to get serious. 282 00:15:39,120 --> 00:15:39,800 Speaker 3: This is the. 283 00:15:39,800 --> 00:15:42,840 Speaker 1: Fall, blah blah blah. And it's that idea, the Okay, 284 00:15:42,840 --> 00:15:46,240 Speaker 1: the summer's over. What do I want my real life 285 00:15:46,520 --> 00:15:48,840 Speaker 1: to look like? How do I want to be? So 286 00:15:49,040 --> 00:15:50,840 Speaker 1: I don't hate this one. No, no, no, it's a 287 00:15:50,880 --> 00:15:54,840 Speaker 1: pretty good idea. It's a pretty good idea. And I 288 00:15:54,880 --> 00:15:57,280 Speaker 1: have gotten in. My son is really getting in the 289 00:15:57,360 --> 00:15:59,680 Speaker 1: habit of going to the gym, and I can tell 290 00:15:59,720 --> 00:16:00,920 Speaker 1: it to be coming a habit. 291 00:16:00,960 --> 00:16:02,520 Speaker 3: And as I was explaining to him the other. 292 00:16:02,440 --> 00:16:05,080 Speaker 1: Day about how habits work, good habits and bad habits 293 00:16:05,120 --> 00:16:06,760 Speaker 1: are hard to quit. So if you can make a 294 00:16:06,760 --> 00:16:09,880 Speaker 1: good habit, man, it's awesome. Like it's very difficult for 295 00:16:09,920 --> 00:16:11,960 Speaker 1: me to not exercise because I got in the habit 296 00:16:12,040 --> 00:16:15,400 Speaker 1: years and years and years ago, and I just feel uncomfortable. 297 00:16:15,480 --> 00:16:17,520 Speaker 1: And if I don't do it in any given day. 298 00:16:18,200 --> 00:16:22,280 Speaker 1: But that didn't come naturally. It's very easy to have 299 00:16:22,320 --> 00:16:24,720 Speaker 1: the opposite habit. I've got plenty of other bad habits 300 00:16:24,760 --> 00:16:28,040 Speaker 1: that are really really hard to quit. Yeah yeah, all right, 301 00:16:28,080 --> 00:16:31,960 Speaker 1: you're making me feel guilty, but yeah, yeah, exercise is good. 302 00:16:32,240 --> 00:16:35,360 Speaker 1: Maybe I'll use the October theory because everything also has 303 00:16:35,400 --> 00:16:38,640 Speaker 1: to have a Jetsy nickname, you know, make the fall 304 00:16:38,680 --> 00:16:42,880 Speaker 1: by getting serious time. I like it, man. I'll tell 305 00:16:42,880 --> 00:16:45,400 Speaker 1: you what between the holidays you know you've got, and 306 00:16:45,440 --> 00:16:49,320 Speaker 1: everything in travel arrangements and buying presents and getting family 307 00:16:49,360 --> 00:16:50,720 Speaker 1: together and how are you going to do this and that? 308 00:16:50,840 --> 00:16:54,680 Speaker 1: And happiness slash disappointment depending on your situation, and an 309 00:16:54,680 --> 00:16:59,160 Speaker 1: election that could get drawn out for weeks or months. Whooah, 310 00:17:01,640 --> 00:17:04,120 Speaker 1: So you think we're all going to be drunk, get 311 00:17:04,160 --> 00:17:08,359 Speaker 1: some booze hands or something. Yeah, yeah whatever. Your takes 312 00:17:08,480 --> 00:17:14,720 Speaker 1: the edge off of choice. For me, it's Pie, Armstrong 313 00:17:14,800 --> 00:17:15,320 Speaker 1: and Getty. 314 00:17:17,280 --> 00:17:19,679 Speaker 3: You need you have Brett there and to clear the air. 315 00:17:19,800 --> 00:17:23,280 Speaker 1: Yes, I do look like someone made a businessman in minecraft. 316 00:17:25,280 --> 00:17:27,760 Speaker 3: I am speaking to Vice President Kamala Harris. Let's welcome 317 00:17:27,800 --> 00:17:32,440 Speaker 3: right now to Fox News. Thank you, Brett. The pleasure 318 00:17:32,560 --> 00:17:35,719 Speaker 3: is neither about it. Thank you about the Vice president. 319 00:17:35,840 --> 00:17:38,040 Speaker 1: Give me the exact number of murderers you let loose 320 00:17:38,080 --> 00:17:39,280 Speaker 1: in this country. 321 00:17:40,560 --> 00:17:42,840 Speaker 3: Brett, I'm glad you brought up the topic of immigrate 322 00:17:42,960 --> 00:17:43,960 Speaker 3: million two million. 323 00:17:44,440 --> 00:17:44,720 Speaker 6: Okay. 324 00:17:45,119 --> 00:17:47,840 Speaker 3: The first thing we did in office was to introduce 325 00:17:47,880 --> 00:17:49,160 Speaker 3: a bit ten million. Give me a number. 326 00:17:50,080 --> 00:17:51,000 Speaker 1: We came up with a. 327 00:17:50,960 --> 00:17:54,280 Speaker 3: Bipartisan but you didn't have a number, though, please finish. 328 00:17:54,359 --> 00:17:56,480 Speaker 3: I'm asking you to. Well, then you have to listen. 329 00:17:56,640 --> 00:17:58,080 Speaker 3: Well I can't because I'm talking. 330 00:17:58,240 --> 00:18:01,680 Speaker 1: Well maybe when I go to bed. 331 00:18:01,840 --> 00:18:02,159 Speaker 3: Okay. 332 00:18:03,560 --> 00:18:06,320 Speaker 1: So the portrayal of the interview on Saturday Night Live, 333 00:18:06,400 --> 00:18:11,359 Speaker 1: which was fairly even handed, despite that clip which leaned 334 00:18:11,400 --> 00:18:16,680 Speaker 1: more on Brettbaer interrupting her a lot. Yeah, the difficulty 335 00:18:16,880 --> 00:18:21,280 Speaker 1: of managing a filibustering politician impossible. As we talked a 336 00:18:21,280 --> 00:18:23,840 Speaker 1: lot about on Thursday to day after the interview. If 337 00:18:24,960 --> 00:18:28,720 Speaker 1: a politician doesn't want to talk, your choices are really 338 00:18:28,760 --> 00:18:32,359 Speaker 1: be a jerk or wasted the time of the interview. 339 00:18:32,359 --> 00:18:34,200 Speaker 3: Those are really your only two choices. 340 00:18:34,119 --> 00:18:36,679 Speaker 1: Right, Yeah, just give away the time or come off 341 00:18:36,720 --> 00:18:39,040 Speaker 1: as a jerk. And when there's as we discussed on Thursday, 342 00:18:39,080 --> 00:18:41,960 Speaker 1: if there's a male female dynamic in play, it's even worse. 343 00:18:42,200 --> 00:18:46,159 Speaker 1: So anyway, having said that, some non politics for you, 344 00:18:48,720 --> 00:18:53,119 Speaker 1: everything's politics. Eventually, anyway, crises at Boeing, an Intel or 345 00:18:53,160 --> 00:18:55,879 Speaker 1: a national emergency. According to greg Ip who writes about 346 00:18:55,880 --> 00:18:59,960 Speaker 1: this sort of thing, and he talks about how an 347 00:19:00,080 --> 00:19:05,000 Speaker 1: and this is part of globalism, which looks absolutely fantastic 348 00:19:05,280 --> 00:19:08,200 Speaker 1: on paper during times of peace. But we have given 349 00:19:08,240 --> 00:19:12,680 Speaker 1: away our manufacturing might to the point that I mean, 350 00:19:12,720 --> 00:19:16,080 Speaker 1: we're still great at designing stuff. But boy Boeing has 351 00:19:16,119 --> 00:19:20,520 Speaker 1: had serious engineering problems. It's one of the greatest American companies. 352 00:19:20,920 --> 00:19:24,560 Speaker 1: It's now looking at reorganization, maybe even bankruptcy down the 353 00:19:24,640 --> 00:19:28,200 Speaker 1: road a little bit. And they go into the challenges 354 00:19:28,240 --> 00:19:31,399 Speaker 1: Boeing has had, but hobbled by investigations into crashes in 355 00:19:31,440 --> 00:19:35,080 Speaker 1: mid air, mishaps, blah blah blah, and Intel, which passed 356 00:19:35,119 --> 00:19:36,640 Speaker 1: on making chips for the iPhone. 357 00:19:36,640 --> 00:19:38,960 Speaker 3: They didn't think it would catch on at all. That's 358 00:19:39,000 --> 00:19:40,840 Speaker 3: got to be that ought to be a people talk 359 00:19:40,880 --> 00:19:41,520 Speaker 3: about new Coke. 360 00:19:41,640 --> 00:19:43,280 Speaker 1: Who cares about new Coke. They spent a bunch of 361 00:19:43,320 --> 00:19:45,200 Speaker 1: money promoting it. People said, yeah, I kind of like 362 00:19:45,240 --> 00:19:46,919 Speaker 1: the old stuff, So they went back to selling the 363 00:19:46,920 --> 00:19:47,479 Speaker 1: old stuff. 364 00:19:47,640 --> 00:19:52,440 Speaker 3: It was fine. Intel passing on the iPhone. Everybody ought 365 00:19:52,440 --> 00:19:56,000 Speaker 3: to know that story. Wow, no kidding, Yeah, But anyway. 366 00:19:55,720 --> 00:19:59,359 Speaker 1: And then they get into a couple other problems that 367 00:20:00,160 --> 00:20:06,800 Speaker 1: at Intel and how they'd made several miscalculations and can't 368 00:20:06,800 --> 00:20:09,200 Speaker 1: manufacture in the US like it used to do as 369 00:20:09,240 --> 00:20:10,520 Speaker 1: everybody offshored everything. 370 00:20:11,040 --> 00:20:13,040 Speaker 3: And you know, both the candidates. 371 00:20:13,040 --> 00:20:16,040 Speaker 1: They also make the point that both the candidates are saying, yeah, 372 00:20:16,080 --> 00:20:20,200 Speaker 1: we'll take care of this through tariffs and subsidies. Jack, 373 00:20:20,240 --> 00:20:22,720 Speaker 1: would you like to talk about a certain nineteen eighties 374 00:20:23,359 --> 00:20:26,720 Speaker 1: American car during the time of tariffs and subsidies? The 375 00:20:26,840 --> 00:20:31,320 Speaker 1: quality of it my horrible, horrible Ford Mustang. Oh my god, 376 00:20:31,600 --> 00:20:34,399 Speaker 1: it's amazing we ever made anything that horrible at some 377 00:20:34,480 --> 00:20:36,600 Speaker 1: of our big companies in America. And I'm a big 378 00:20:36,600 --> 00:20:40,800 Speaker 1: Ford Van right. Oh yeah, their products are fantastic. But 379 00:20:40,920 --> 00:20:43,840 Speaker 1: back in the day when all the American automakers were 380 00:20:43,880 --> 00:20:49,080 Speaker 1: protected by high tariffs to keep away Japanese specifically competition, the. 381 00:20:49,080 --> 00:20:51,119 Speaker 3: Quality was absolutely terrible, terrible. 382 00:20:51,680 --> 00:20:56,280 Speaker 1: So, anyway, we have a serious challenge going forward as 383 00:20:56,280 --> 00:20:59,440 Speaker 1: a country because we offshored so many of our manufacturing 384 00:21:00,119 --> 00:21:04,080 Speaker 1: needs to hostile regimes. And it saved money and it flooded, 385 00:21:04,200 --> 00:21:07,160 Speaker 1: you know, the United States with cheap goods. Here's where 386 00:21:07,200 --> 00:21:09,840 Speaker 1: Jack usually goes onto a rant, into a rant about 387 00:21:10,200 --> 00:21:12,520 Speaker 1: cheap crap as opposed to, you know, a washing machine 388 00:21:12,520 --> 00:21:14,320 Speaker 1: that would last you twenty years and when you broke, 389 00:21:14,359 --> 00:21:17,840 Speaker 1: you were shocked when it broke, rather which anyway, so 390 00:21:17,920 --> 00:21:20,880 Speaker 1: true was everything is disposable, from washing machines to coffee 391 00:21:20,880 --> 00:21:25,040 Speaker 1: makers to whatever. Yeah, at the end of nineteen ninety nine, 392 00:21:25,160 --> 00:21:28,560 Speaker 1: which is not terribly long ago, four of the ten 393 00:21:28,640 --> 00:21:33,280 Speaker 1: most valuable US companies were manufacturers. Four of ten today 394 00:21:33,560 --> 00:21:38,760 Speaker 1: zero are Wow. Now Tesla is ranked eleventh, so that's 395 00:21:38,840 --> 00:21:40,080 Speaker 1: right outside the top ten. 396 00:21:40,240 --> 00:21:45,080 Speaker 3: But it's it's troubling. It's troubling. 397 00:21:45,200 --> 00:21:48,360 Speaker 1: And Tesla, which is now vilified for its politics. Where 398 00:21:48,359 --> 00:21:50,360 Speaker 1: did I read a good article about that, about how 399 00:21:50,440 --> 00:21:54,240 Speaker 1: all everything going after Elon Musk is is politics. It's 400 00:21:54,280 --> 00:21:56,560 Speaker 1: just they don't like the fact that he likes Trump. 401 00:21:56,680 --> 00:22:00,159 Speaker 1: I mean, so that's it's yeah, not good, right, But 402 00:22:00,200 --> 00:22:04,080 Speaker 1: then you get into the question of which manufacturing ought 403 00:22:04,119 --> 00:22:08,280 Speaker 1: to get public support, what kind of support you don't 404 00:22:08,280 --> 00:22:11,240 Speaker 1: want quote unquote industrial policy or central planning. 405 00:22:11,240 --> 00:22:14,440 Speaker 3: That's disastrous, it's. 406 00:22:14,240 --> 00:22:17,360 Speaker 1: Complicated, and so many the doctrines of twenty five years 407 00:22:17,359 --> 00:22:20,560 Speaker 1: ago are just not useful now the world has changed completely, 408 00:22:20,640 --> 00:22:24,000 Speaker 1: So you know, I guess we know to cite Boeing 409 00:22:24,000 --> 00:22:27,480 Speaker 1: once again designed the airplane while we're flying it. Speaking 410 00:22:27,480 --> 00:22:29,240 Speaker 1: of which, Jack, I knew you'd love this story. If 411 00:22:29,240 --> 00:22:32,320 Speaker 1: you haven't seen it yet, it's very right, Brothers. The Inn, 412 00:22:33,280 --> 00:22:41,280 Speaker 1: there was a giant contest essentially technology competition hosted by 413 00:22:41,320 --> 00:22:45,600 Speaker 1: the Canadian military saying asking how do. 414 00:22:45,640 --> 00:22:47,639 Speaker 3: We bring down drones? 415 00:22:48,080 --> 00:22:53,320 Speaker 1: What's the best way to fight unmanned aerial vehicles and 416 00:22:53,440 --> 00:22:57,199 Speaker 1: smaller drones in battle. I'm sure most of you are 417 00:22:57,240 --> 00:23:00,520 Speaker 1: already familiar with the fact that the war and Ukraine 418 00:23:00,720 --> 00:23:06,160 Speaker 1: has been like fifty years worth of progress in unmanned warfare. 419 00:23:07,680 --> 00:23:12,000 Speaker 1: They're everywhere doing everything from reconnaissance to de bombings to 420 00:23:12,040 --> 00:23:14,159 Speaker 1: shootings to whatever anyway, and then if you send a 421 00:23:14,160 --> 00:23:16,919 Speaker 1: whole bunch of drones at something, it's very difficult to stop. 422 00:23:18,040 --> 00:23:22,560 Speaker 1: So in this big contest, Boeing showcased a futuristic laser 423 00:23:22,600 --> 00:23:25,000 Speaker 1: weapon that can punch a hole straight through a hostile 424 00:23:25,080 --> 00:23:31,239 Speaker 1: area threat aerial threat laser weapon. But they lost and 425 00:23:31,280 --> 00:23:34,560 Speaker 1: several other defense giants lost to four college students. 426 00:23:34,640 --> 00:23:37,600 Speaker 3: That's awesome. Oh yeah, straight out of the Right Brothers. 427 00:23:38,040 --> 00:23:39,679 Speaker 1: If you're not for would you like to give a 428 00:23:39,760 --> 00:23:41,720 Speaker 1: very brief overview of the situation. 429 00:23:41,760 --> 00:23:44,080 Speaker 3: When the Right Brothers were doing their work well, the federal. 430 00:23:43,760 --> 00:23:46,320 Speaker 1: Government was spending tons of money on various projects to 431 00:23:46,320 --> 00:23:50,520 Speaker 1: try to come up with manned flight and it surprisingly, 432 00:23:50,680 --> 00:23:53,760 Speaker 1: not surprisingly, didn't work at all. Lots of waste, lots 433 00:23:53,760 --> 00:23:57,520 Speaker 1: of very slow, lots of bad ideas, lots of bureaucracy, 434 00:23:57,600 --> 00:24:00,480 Speaker 1: that sort of thing. Couple of guys who run a 435 00:24:00,480 --> 00:24:03,320 Speaker 1: bicycle shop without all the bureaucracy and the hang ups, 436 00:24:03,640 --> 00:24:06,919 Speaker 1: and using their ingenuity beat the federal government on a 437 00:24:07,080 --> 00:24:11,880 Speaker 1: shoestring budget compared to the what DC was spending trying 438 00:24:11,920 --> 00:24:14,160 Speaker 1: to get a plan out of the The euro governments 439 00:24:14,160 --> 00:24:17,040 Speaker 1: were working on that too, but it was plucky, you know, entrepreneurs. 440 00:24:17,040 --> 00:24:22,959 Speaker 1: So anyway, four college students won the damned contest. They 441 00:24:23,080 --> 00:24:26,480 Speaker 1: knocked the drones out of the sky using sound waves. 442 00:24:27,440 --> 00:24:29,959 Speaker 1: The rookies device was developed in the backyard of one 443 00:24:30,000 --> 00:24:33,199 Speaker 1: of the students parents using an old car speaker. If 444 00:24:33,280 --> 00:24:38,919 Speaker 1: you can believe that, let's see the four University of 445 00:24:38,920 --> 00:24:41,760 Speaker 1: Toronto engineering students spent around seventeen thousand dollars of their 446 00:24:41,760 --> 00:24:45,120 Speaker 1: own money to develop their anti drone technology. Their speaker 447 00:24:45,200 --> 00:24:50,080 Speaker 1: like device blasts ultrasound waves that destabilize the drones navigation systems, 448 00:24:50,200 --> 00:24:51,320 Speaker 1: sending them off course. 449 00:24:51,240 --> 00:24:53,480 Speaker 3: Or crashing to the ground. Well, that is very right, 450 00:24:53,560 --> 00:24:54,119 Speaker 3: brothers E. 451 00:24:54,320 --> 00:24:57,200 Speaker 1: And that they used bicycle parts and standing on the 452 00:24:57,240 --> 00:25:00,560 Speaker 1: beach observing the wings of birds to put this together 453 00:25:00,680 --> 00:25:03,920 Speaker 1: with not very much money, a car speaker and not 454 00:25:04,040 --> 00:25:05,760 Speaker 1: much money to bring down drones. 455 00:25:05,960 --> 00:25:07,280 Speaker 3: Pretty good, right, And. 456 00:25:07,200 --> 00:25:10,960 Speaker 1: This is such a brilliant example of free enterprise in 457 00:25:11,000 --> 00:25:15,080 Speaker 1: the free market, and how just what an incredible blessing 458 00:25:15,119 --> 00:25:19,240 Speaker 1: it is as opposed to you know, big elephantine central planning, 459 00:25:19,800 --> 00:25:22,320 Speaker 1: you know, government controlled crap. Please look at China. I 460 00:25:22,320 --> 00:25:23,760 Speaker 1: could go on for days. I got all sorts of 461 00:25:23,800 --> 00:25:28,200 Speaker 1: interesting stories about China. But in Ukraine, for instance, there 462 00:25:28,200 --> 00:25:32,879 Speaker 1: are more than two hundred mainly small drone makers who 463 00:25:32,920 --> 00:25:36,879 Speaker 1: are innovating like crazy all the time. And that's the 464 00:25:36,880 --> 00:25:39,640 Speaker 1: way progress is made. Boy, this is going to move 465 00:25:39,800 --> 00:25:41,919 Speaker 1: so fast though that I mean, the drones came on 466 00:25:41,960 --> 00:25:44,600 Speaker 1: the scene so fast, and then the progress at shooting 467 00:25:44,640 --> 00:25:46,920 Speaker 1: them down, and then I'm sure some newer drone that 468 00:25:47,000 --> 00:25:49,000 Speaker 1: gets around that this is all going to happen at 469 00:25:49,040 --> 00:25:54,320 Speaker 1: a speed like nothing like happened with machine guns, tanks, planes, 470 00:25:54,320 --> 00:25:56,840 Speaker 1: et cetera. F twenty two's Yeah, how long does it 471 00:25:56,880 --> 00:26:00,800 Speaker 1: take to develop the next you know, with all in 472 00:26:00,840 --> 00:26:05,120 Speaker 1: all fairness, I mean, fighter plane's an incredibly complex set 473 00:26:05,160 --> 00:26:07,440 Speaker 1: of systems and technologies and the rest of it. But yeah, 474 00:26:07,480 --> 00:26:09,280 Speaker 1: do you see the article over the weekend about how 475 00:26:09,280 --> 00:26:12,800 Speaker 1: we're taking a whole bunch of old air strips that 476 00:26:12,840 --> 00:26:16,400 Speaker 1: we have on various islands over there by China and 477 00:26:16,640 --> 00:26:19,040 Speaker 1: getting them back up to speed again, No, I missed 478 00:26:19,040 --> 00:26:19,320 Speaker 1: that man. 479 00:26:19,400 --> 00:26:20,320 Speaker 3: That got my attention. 480 00:26:20,600 --> 00:26:24,439 Speaker 1: A bunch of airfields and territories that we have that 481 00:26:24,520 --> 00:26:26,360 Speaker 1: I didn't even know we have. We have a lot 482 00:26:26,400 --> 00:26:29,560 Speaker 1: more land than I think most Americans are aware of, 483 00:26:29,800 --> 00:26:34,679 Speaker 1: but little islands that we had built no airports airbases 484 00:26:34,680 --> 00:26:38,120 Speaker 1: at during World War II and had been taken back 485 00:26:38,160 --> 00:26:40,600 Speaker 1: over by the jungle over the last seventy five years 486 00:26:40,600 --> 00:26:41,520 Speaker 1: because we didn't need them. 487 00:26:41,720 --> 00:26:43,639 Speaker 3: Well, we're getting prepared for war with China. 488 00:26:43,640 --> 00:26:46,080 Speaker 1: And that's what really got my attention is that we're 489 00:26:46,080 --> 00:26:47,960 Speaker 1: taking this seriously enough that a lot of these were 490 00:26:48,000 --> 00:26:50,800 Speaker 1: cutting down the trees and repaving the thing and getting 491 00:26:51,160 --> 00:26:54,440 Speaker 1: these different little air strips around that part of the 492 00:26:54,480 --> 00:26:56,879 Speaker 1: world back up to speed so we can land and 493 00:26:56,920 --> 00:26:59,520 Speaker 1: take off if we need to go to war with China. Oof. 494 00:27:00,200 --> 00:27:02,320 Speaker 1: That's a hellic thing. I'm glad we're doing it, but 495 00:27:02,359 --> 00:27:05,320 Speaker 1: it's very sobering to think about. As I said, I 496 00:27:05,320 --> 00:27:07,440 Speaker 1: missed that. But I'll bet some of the names would 497 00:27:07,640 --> 00:27:10,639 Speaker 1: sound familiar to World War two. Baff sure, absolutely, some 498 00:27:10,680 --> 00:27:12,240 Speaker 1: of those island battles and everything. 499 00:27:12,320 --> 00:27:12,600 Speaker 3: Okay. 500 00:27:12,600 --> 00:27:16,640 Speaker 1: And one final note, totally apolitical, although again, everything eventually 501 00:27:16,640 --> 00:27:19,119 Speaker 1: gets political in a way, doesn't it these days. I 502 00:27:19,160 --> 00:27:21,920 Speaker 1: love this headline happens to be from the Journal. Does 503 00:27:21,920 --> 00:27:25,600 Speaker 1: everything in your blue binet really get recycled? You would 504 00:27:25,600 --> 00:27:26,400 Speaker 1: be surprised. 505 00:27:26,720 --> 00:27:30,040 Speaker 3: No, I wouldn't. No, I wouldn't. We've been talking about 506 00:27:30,040 --> 00:27:30,879 Speaker 3: this for years. 507 00:27:31,480 --> 00:27:34,040 Speaker 1: But you know what, actually, you might be surprised at 508 00:27:34,040 --> 00:27:38,400 Speaker 1: how pathetic it is. It's the law in my town, 509 00:27:38,480 --> 00:27:40,560 Speaker 1: you get. If they find out you're not doing it, 510 00:27:40,600 --> 00:27:42,680 Speaker 1: you'll get fined. So that's why I tell the kids, 511 00:27:42,720 --> 00:27:45,239 Speaker 1: I know it's stupid. Let's put the plastic bottles here, 512 00:27:45,240 --> 00:27:47,359 Speaker 1: in the cardboard there and the other traction there, just 513 00:27:47,359 --> 00:27:50,760 Speaker 1: so I don't get a freaking fine. Wow, they forced 514 00:27:50,760 --> 00:27:54,800 Speaker 1: you to your knees to submit to their dictatorshipt or oppressions, 515 00:27:54,880 --> 00:27:56,520 Speaker 1: or I'm gonna pay a fine. Why would I want 516 00:27:56,560 --> 00:27:59,280 Speaker 1: to do that? Even though would Alexi Navalny say, Jack 517 00:28:00,200 --> 00:28:02,240 Speaker 1: his memoirs out by the way, I really want to 518 00:28:02,280 --> 00:28:02,520 Speaker 1: read that. 519 00:28:02,560 --> 00:28:07,760 Speaker 3: It's supposed to be incredibly moving. That's completely fair. What 520 00:28:08,160 --> 00:28:09,920 Speaker 3: Alexi da voltis. 521 00:28:11,000 --> 00:28:15,000 Speaker 1: Your submission to the brutalities of a dictator. I tell 522 00:28:15,000 --> 00:28:17,280 Speaker 1: the kids, it's no more effort to put the bottles 523 00:28:17,280 --> 00:28:19,600 Speaker 1: in that trash can than that trash can, so let's 524 00:28:19,640 --> 00:28:22,560 Speaker 1: just do it. But it's dumb. There's no doubt it's dumb. 525 00:28:22,640 --> 00:28:24,160 Speaker 1: The fact that I have to pay for the trash 526 00:28:24,240 --> 00:28:26,080 Speaker 1: can is what makes me so angry. You have to 527 00:28:26,119 --> 00:28:28,879 Speaker 1: have it. It's like whatever it is, fifty bucks a 528 00:28:28,880 --> 00:28:33,399 Speaker 1: month or something like that. Michael, what's the old saying? 529 00:28:34,440 --> 00:28:37,720 Speaker 1: All that's required of good men for evil recyclers to 530 00:28:37,760 --> 00:28:40,000 Speaker 1: triumph is their silence. Man, if there's a hill I'm 531 00:28:40,000 --> 00:28:46,000 Speaker 1: gonna die on, it ain't this one anyway. So plastic 532 00:28:46,120 --> 00:28:50,040 Speaker 1: containers and packaging, the plastic that goes in the blue 533 00:28:50,080 --> 00:28:55,920 Speaker 1: pin or whatever you have, guess what percentage actually gets recycled. 534 00:28:56,000 --> 00:28:58,760 Speaker 1: If it was half it would be horrible, It would 535 00:28:58,800 --> 00:29:04,080 Speaker 1: be mockable. Right, How do you feel about thirteen point 536 00:29:04,160 --> 00:29:04,920 Speaker 1: six percent? 537 00:29:05,280 --> 00:29:05,880 Speaker 3: Wow? 538 00:29:06,560 --> 00:29:10,280 Speaker 1: Thirteen point six friends, Again, if it was half, it 539 00:29:10,280 --> 00:29:12,760 Speaker 1: would be supermarkable, Like half of this stuff gets in 540 00:29:12,800 --> 00:29:17,480 Speaker 1: the regular trash anyway. No, it's so it's a significant 541 00:29:17,680 --> 00:29:21,960 Speaker 1: go ahead. Sorry, so it's eighty seven percent. Well, I 542 00:29:22,000 --> 00:29:27,400 Speaker 1: get the rest of the numbers. Another seventeen percent got incinerated. Okay, 543 00:29:27,480 --> 00:29:30,560 Speaker 1: so Burne significantly more got incinerated than recycled. 544 00:29:30,600 --> 00:29:34,400 Speaker 3: Nearly seventy percent went to the landfill. There you go. 545 00:29:35,120 --> 00:29:41,920 Speaker 1: Yeah, unbelievable. Now paper paper, eighty one percent actually gets recycled. 546 00:29:42,000 --> 00:29:45,760 Speaker 3: Okay, So like cardboard and stuff, Yeah, yeah, exactly. Uh, 547 00:29:45,880 --> 00:29:47,200 Speaker 3: glass containers. 548 00:29:46,760 --> 00:29:51,120 Speaker 1: About thirty one percent aluminum, including cans and foil, it 549 00:29:51,200 --> 00:29:54,160 Speaker 1: was around thirty five percent. Quit saying that with the 550 00:29:54,160 --> 00:29:56,640 Speaker 1: tone of voice, like, that's good. Thirty percent of Oh 551 00:29:56,760 --> 00:29:58,920 Speaker 1: use whatever tone of voice. I want you on your knees, 552 00:29:58,960 --> 00:30:02,160 Speaker 1: submitting to the commune in your down lazio to lecture. 553 00:30:03,560 --> 00:30:05,880 Speaker 1: Thirty of the glass gets recycled. 554 00:30:06,480 --> 00:30:07,880 Speaker 3: Yes, and that's that's a wind. 555 00:30:08,200 --> 00:30:12,280 Speaker 1: Oh my god, why are we even doing this? Aluminum, 556 00:30:12,280 --> 00:30:17,479 Speaker 1: which I'd assumed was like one hundred percent is thirty 557 00:30:17,560 --> 00:30:20,680 Speaker 1: five percent. Well, and everywhere I live anyway, you know 558 00:30:20,760 --> 00:30:24,720 Speaker 1: in California, you got at all stores the four different 559 00:30:24,800 --> 00:30:27,520 Speaker 1: kinds of trash cans everywhere you go, and yeah, it 560 00:30:27,560 --> 00:30:29,600 Speaker 1: all goes into the same lens, and they got different 561 00:30:29,680 --> 00:30:32,200 Speaker 1: kinds of holes and different kinds. Can't figure it out, 562 00:30:32,240 --> 00:30:35,000 Speaker 1: and it's always listed as like composts or this one. 563 00:30:35,320 --> 00:30:38,000 Speaker 1: I don't know what this is. It's so hard. But 564 00:30:38,120 --> 00:30:40,080 Speaker 1: so it's all just going the same place anyway, the 565 00:30:40,640 --> 00:30:41,160 Speaker 1: bulk of it. 566 00:30:41,160 --> 00:30:43,640 Speaker 3: Anyway, I'll tell you what it is. It's bull crap. 567 00:30:44,440 --> 00:30:48,360 Speaker 1: It's fraud. It's virtue signaling fraud, and somebody's making a 568 00:30:48,400 --> 00:30:50,040 Speaker 1: lot of money off of it, which you can't forget. 569 00:30:50,080 --> 00:30:53,000 Speaker 1: All the time, there are people profiting greatly off of 570 00:30:53,000 --> 00:30:56,040 Speaker 1: this fraud. That's what keeps it going. It's not the 571 00:30:56,480 --> 00:30:58,600 Speaker 1: we're helping the environment a little bit. It's like, wait, 572 00:30:58,640 --> 00:31:01,320 Speaker 1: we got the special trucks, we got special cans, we 573 00:31:01,400 --> 00:31:04,000 Speaker 1: got all the people that work for this thing that 574 00:31:04,080 --> 00:31:09,000 Speaker 1: does nothing. Yeah, if that revenue stopped, our campaign contributions 575 00:31:09,080 --> 00:31:10,440 Speaker 1: might have to stop. 576 00:31:10,240 --> 00:31:13,120 Speaker 3: So maybe we stick with the blue bin. Huh. 577 00:31:13,520 --> 00:31:20,640 Speaker 1: That's unbelievable. Thirteen percent of the plastic actually gets recycled. Unbelievable. 578 00:31:22,280 --> 00:31:24,520 Speaker 1: Wall Street Journal with a heck of an editorial piece 579 00:31:24,520 --> 00:31:26,600 Speaker 1: today that's getting a fair amount of attention. Who's the 580 00:31:26,640 --> 00:31:29,760 Speaker 1: actual fascist Trump or Biden. We'll get to that at 581 00:31:29,760 --> 00:31:30,720 Speaker 1: some point. Stay with us. 582 00:31:32,040 --> 00:31:32,880 Speaker 5: Are strong. 583 00:31:35,120 --> 00:31:40,280 Speaker 6: This guy, This is a guy that was all man. 584 00:31:41,320 --> 00:31:45,480 Speaker 6: This man was strong and tough. And I refused to 585 00:31:45,560 --> 00:31:49,280 Speaker 6: say it. But when he took showers with the other 586 00:31:49,400 --> 00:31:51,960 Speaker 6: pros they came out of there, they said, Oh my god, 587 00:31:54,920 --> 00:31:56,240 Speaker 6: that's unbelievable. 588 00:31:57,440 --> 00:32:01,360 Speaker 3: I had to say it, so we left. 589 00:32:01,880 --> 00:32:06,560 Speaker 1: It was But so that was Donald Trump and Latrobe, Pennsylvania, 590 00:32:06,640 --> 00:32:09,680 Speaker 1: hometown of Arnold Palmer, who was the most famous golfer 591 00:32:09,760 --> 00:32:11,880 Speaker 1: in the world for quite a while and the biggest 592 00:32:11,880 --> 00:32:15,880 Speaker 1: pitch man in the world for my whole life, and 593 00:32:16,040 --> 00:32:21,240 Speaker 1: endorsing oil or whatever. Anyway, Arnold Palmer and Trump is 594 00:32:21,240 --> 00:32:24,560 Speaker 1: old so as Arnold Palmer was a hero to him, 595 00:32:25,040 --> 00:32:30,280 Speaker 1: and talking about how apparently Arnold Palmer was blessed and 596 00:32:30,760 --> 00:32:33,280 Speaker 1: guys would notice in the locker room, and that is 597 00:32:33,280 --> 00:32:35,760 Speaker 1: if fire the last five list five things I wanted 598 00:32:35,800 --> 00:32:37,800 Speaker 1: to say about Arnold Palmer that would not have made 599 00:32:37,800 --> 00:32:40,800 Speaker 1: the list, but it made the crowd. Laugh, and it 600 00:32:40,880 --> 00:32:43,960 Speaker 1: made the media's head explode as he is, you know, 601 00:32:45,880 --> 00:32:51,040 Speaker 1: devolved into vulgar references to male genitalia at his is 602 00:32:51,080 --> 00:32:55,280 Speaker 1: it his rally? So all right, there is ten seconds 603 00:32:55,320 --> 00:32:57,640 Speaker 1: at an hour and a half rally and whatever. But 604 00:32:57,800 --> 00:33:00,120 Speaker 1: the Wall Street Journal has got an interesting opinion in 605 00:33:00,160 --> 00:33:02,640 Speaker 1: Peace Today of who's the fascist Trump or Biden. They 606 00:33:02,680 --> 00:33:05,520 Speaker 1: go through some examples. We'll get to that next hour. 607 00:33:05,520 --> 00:33:07,120 Speaker 1: I want to talk about that a little bit. So 608 00:33:07,480 --> 00:33:11,760 Speaker 1: I had a rare opportunity to do anything other than 609 00:33:11,800 --> 00:33:14,800 Speaker 1: parent over the weekend, and I went to San Francisco 610 00:33:15,080 --> 00:33:17,680 Speaker 1: for a night and I got to see my first 611 00:33:18,000 --> 00:33:22,120 Speaker 1: I've seen many drug casualties being a guy who lives 612 00:33:22,120 --> 00:33:24,600 Speaker 1: in California over the years, but I had not seen 613 00:33:24,600 --> 00:33:27,440 Speaker 1: any of the people that are on trank or whatever 614 00:33:27,480 --> 00:33:31,040 Speaker 1: the new stuff is where you're a zombie. And I 615 00:33:31,840 --> 00:33:37,320 Speaker 1: left the completely barren Union Square area of San Francisco 616 00:33:37,360 --> 00:33:39,440 Speaker 1: where there were just no people at all, tourists, shore 617 00:33:39,480 --> 00:33:42,880 Speaker 1: homeless people or anybody. Lots of cops, lots of armed guards, 618 00:33:43,160 --> 00:33:46,240 Speaker 1: but really no cars or people. And then I was 619 00:33:46,320 --> 00:33:48,240 Speaker 1: driving to another area to do some shopping and I 620 00:33:48,320 --> 00:33:50,640 Speaker 1: drove down Mission, which is kind of a famous, very 621 00:33:50,720 --> 00:33:53,760 Speaker 1: seedy street of San Francisco, and I was driving down 622 00:33:53,800 --> 00:33:59,520 Speaker 1: Mission and it was just a sea of humanity. All 623 00:33:59,680 --> 00:34:02,800 Speaker 1: sleep been on the street, whizzing on the street, leaning 624 00:34:02,840 --> 00:34:04,920 Speaker 1: up against buildings. But I saw some of the people 625 00:34:04,960 --> 00:34:07,280 Speaker 1: doing the lean where they just stand there and they 626 00:34:07,360 --> 00:34:09,440 Speaker 1: kind of hang like a zombie out of a movie. 627 00:34:09,520 --> 00:34:11,440 Speaker 1: It's like it was a bent over at the waist. 628 00:34:11,680 --> 00:34:15,360 Speaker 1: It was like it was a Halloween thing, like you know, 629 00:34:15,880 --> 00:34:18,320 Speaker 1: their mouths kind open their eyes and they just standing 630 00:34:18,400 --> 00:34:20,160 Speaker 1: there and they just sway. 631 00:34:19,840 --> 00:34:20,359 Speaker 3: A little bit. 632 00:34:22,200 --> 00:34:24,279 Speaker 1: Wow. I saw lots of people doing that. I'd never seen. 633 00:34:24,360 --> 00:34:26,560 Speaker 1: I'd never seen that with my own eyes. It's quite shocking. 634 00:34:27,239 --> 00:34:31,200 Speaker 3: Sentinel, the sentinel leaner, the trank lean whatever they're doing. Yeah. 635 00:34:31,200 --> 00:34:34,839 Speaker 3: And then I and it's something to witness. To think that. 636 00:34:36,280 --> 00:34:39,520 Speaker 1: You could allow society to devolve into that is amazing. 637 00:34:39,760 --> 00:34:41,640 Speaker 1: And then I saw this article in the New York 638 00:34:41,680 --> 00:34:45,960 Speaker 1: Times under an LA Freeway a psychiatric rescue mission. The 639 00:34:46,040 --> 00:34:49,799 Speaker 1: crisis of homelessness is pushing American psychiatry to places it 640 00:34:49,800 --> 00:34:54,640 Speaker 1: has not gone before, like sidewalk injections of antipsychotics. So 641 00:34:54,680 --> 00:34:57,839 Speaker 1: the headline mentioning homelessness and not the fact that these 642 00:34:57,880 --> 00:35:01,040 Speaker 1: are all drug addicts, that we have a rug addiction problem, 643 00:35:01,160 --> 00:35:03,239 Speaker 1: an explosion of the worst kind of drugs that I've 644 00:35:03,280 --> 00:35:06,120 Speaker 1: ever been developed are being used in the streets. Not 645 00:35:06,239 --> 00:35:09,319 Speaker 1: that it's it's homelessness, it's that that's the problem. You know. 646 00:35:09,400 --> 00:35:12,480 Speaker 1: I don't have any problem with treating people with psychiatric problems, 647 00:35:12,520 --> 00:35:15,720 Speaker 1: because we've failed miserably dealing with mental illness and housing 648 00:35:15,760 --> 00:35:18,600 Speaker 1: prices are high. But why will you never talk about 649 00:35:18,640 --> 00:35:22,240 Speaker 1: the drug crisis, which is which is like the whole problem. 650 00:35:22,480 --> 00:35:23,719 Speaker 1: It's very very first, a lot 651 00:35:23,760 --> 00:35:26,840 Speaker 3: Of it Armstrong and getty