1 00:00:01,840 --> 00:00:06,080 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,720 Speaker 1: Washington Broadcast Center. Jack Armstrong and Joe Getty arm Strong 3 00:00:10,760 --> 00:00:22,440 Speaker 1: and get Jaky and he Armstrong and Yetty. 4 00:00:23,840 --> 00:00:27,080 Speaker 2: The future for Wendy's. They call it Fresh AI. Here's 5 00:00:27,120 --> 00:00:29,800 Speaker 2: how it works. A customer drives up and talks into 6 00:00:29,840 --> 00:00:30,400 Speaker 2: this speaker. 7 00:00:30,640 --> 00:00:33,479 Speaker 1: Hi, welcome to Wendy's. Feel free to order whenever you 8 00:00:33,520 --> 00:00:33,960 Speaker 1: are ready. 9 00:00:34,440 --> 00:00:37,800 Speaker 2: The AI takes the order inside. Human workers watch a 10 00:00:37,840 --> 00:00:41,160 Speaker 2: monitor as the order comes, then they prepare the meal. 11 00:00:41,720 --> 00:00:45,159 Speaker 2: In twenty twenty three, wendy started offering AI drive throughs 12 00:00:45,440 --> 00:00:48,960 Speaker 2: now nearly one hundred across nineteen states, with more on 13 00:00:49,040 --> 00:00:52,320 Speaker 2: the way. Wendy's partnered with Google Cloud to create their tech. 14 00:00:52,600 --> 00:00:56,520 Speaker 2: It uses generative AI, which means it's always learning and 15 00:00:56,560 --> 00:00:58,040 Speaker 2: should improve over time. 16 00:00:59,480 --> 00:01:03,160 Speaker 1: I feel like they're stretching what people generally mean when 17 00:01:03,200 --> 00:01:08,399 Speaker 1: they're talking about AI, because the whole uh, what can 18 00:01:08,440 --> 00:01:11,920 Speaker 1: we help you with computer voice? And then you tell 19 00:01:11,959 --> 00:01:17,440 Speaker 1: them prescriptions has been around for ten years. So if 20 00:01:17,440 --> 00:01:21,200 Speaker 1: you're calling that AI, okay, fine, because it is artificial, 21 00:01:21,959 --> 00:01:25,319 Speaker 1: it's not human. They draw lines. Yeah, but that's I 22 00:01:25,319 --> 00:01:27,080 Speaker 1: don't think that's where we're Yeah, it's funny. 23 00:01:27,120 --> 00:01:29,240 Speaker 3: My comment was going to be, We're gonna raise the 24 00:01:29,480 --> 00:01:34,040 Speaker 3: wages of fast food workers until it's impossible to employ them, 25 00:01:34,280 --> 00:01:36,360 Speaker 3: to make sure they don't have a chance of keeping 26 00:01:36,360 --> 00:01:37,120 Speaker 3: their jobs. 27 00:01:37,920 --> 00:01:44,759 Speaker 4: Gavin Newsom with his idiotic, bizarre abuse of the economy. 28 00:01:44,560 --> 00:01:46,920 Speaker 4: My reaction is, I don't mind any of this stuff 29 00:01:46,920 --> 00:01:49,320 Speaker 4: as long as it works. But if it's like the 30 00:01:49,360 --> 00:01:51,840 Speaker 4: bank or the pharmacy or any other place I ever 31 00:01:51,920 --> 00:01:54,120 Speaker 4: call with those stupid systems, I'm gonna pull up and 32 00:01:54,160 --> 00:01:55,680 Speaker 4: say I'd like a cheeseburger. 33 00:01:55,840 --> 00:02:01,960 Speaker 1: Did you say shake, no cheeseburger? Did you say chicken sandwich? Now? 34 00:02:02,280 --> 00:02:05,680 Speaker 1: Did you say you want it raw? A raw chicken sandwich? 35 00:02:05,760 --> 00:02:10,279 Speaker 4: Please pull up to the next window, right exactly. 36 00:02:10,600 --> 00:02:16,040 Speaker 1: And it makes me inside right human being agent press 37 00:02:16,120 --> 00:02:19,000 Speaker 1: zero something. I don't want any of the I like 38 00:02:19,000 --> 00:02:20,960 Speaker 1: when they give you three options and none of them 39 00:02:20,960 --> 00:02:23,160 Speaker 1: are your option. I don't want any of those three things. 40 00:02:23,960 --> 00:02:29,079 Speaker 1: Did you want checking savings or mortgages? None of those? 41 00:02:29,440 --> 00:02:36,120 Speaker 1: What am I supposed to do now, computer lady? Three choices? Anyway? 42 00:02:36,400 --> 00:02:40,080 Speaker 1: I only bring up the AI thing because ooh, video vidio, 43 00:02:40,600 --> 00:02:42,600 Speaker 1: which was a hot of stock in America over the 44 00:02:42,639 --> 00:02:44,520 Speaker 1: last couple of years. If you'd put or if I 45 00:02:44,600 --> 00:02:46,120 Speaker 1: to put a whole bunch of money in there, and 46 00:02:46,160 --> 00:02:49,040 Speaker 1: you know I'd be I'd be on a yacht somewhere 47 00:02:49,120 --> 00:02:51,440 Speaker 1: right now. That's how much. And part of the reason 48 00:02:51,440 --> 00:02:53,760 Speaker 1: they make computer chips, super fast computer chips, and the 49 00:02:53,800 --> 00:02:57,200 Speaker 1: reason it is skyrocketed so much is the idea that 50 00:02:57,400 --> 00:03:02,120 Speaker 1: AI is gonna be the biggest thing ever and it's 51 00:03:02,160 --> 00:03:04,720 Speaker 1: gonna need tons and tons of the fastest computer chips 52 00:03:04,720 --> 00:03:06,320 Speaker 1: out there to be able to do it. And that's 53 00:03:06,360 --> 00:03:10,079 Speaker 1: why this is the hottest stock going and only the 54 00:03:10,120 --> 00:03:13,520 Speaker 1: best chips will do anything less than the best chips, 55 00:03:13,520 --> 00:03:17,040 Speaker 1: and you don't have a chance of competing. Except for today. 56 00:03:17,200 --> 00:03:20,800 Speaker 1: We found out apparently that China has their own AI 57 00:03:21,000 --> 00:03:23,440 Speaker 1: thing called deep Seek, and it's really good and they 58 00:03:23,440 --> 00:03:27,359 Speaker 1: did it with slow chips, and Nvidia stock dropped twelve 59 00:03:27,360 --> 00:03:30,639 Speaker 1: percent and people are thinking, whoa, maybe you don't need 60 00:03:30,680 --> 00:03:33,240 Speaker 1: super fast chips to do AI. Just to skip to 61 00:03:33,280 --> 00:03:36,880 Speaker 1: some of the headlines on this, deep Seek is the 62 00:03:37,240 --> 00:03:42,160 Speaker 1: Chinese thing. We were told by experts to come up 63 00:03:42,160 --> 00:03:47,400 Speaker 1: with this level of AI, and the specialists say Deep 64 00:03:47,480 --> 00:03:50,400 Speaker 1: Seeks is still behind Open AI and Google, thank god, 65 00:03:50,600 --> 00:03:53,640 Speaker 1: are good American AIS, but it is a close rival, 66 00:03:53,680 --> 00:03:57,360 Speaker 1: despite using fewer and much less advanced chips and in 67 00:03:57,400 --> 00:04:00,960 Speaker 1: some cases skipping many steps the US TO developers thought 68 00:04:00,960 --> 00:04:02,880 Speaker 1: were essential to be able to do this sort of thing. 69 00:04:04,120 --> 00:04:06,520 Speaker 1: We were told by our experts it take between one 70 00:04:06,560 --> 00:04:08,920 Speaker 1: hundred million and a billion dollars to come up with 71 00:04:08,960 --> 00:04:11,600 Speaker 1: something like this. I mean, you got a the best 72 00:04:11,600 --> 00:04:13,800 Speaker 1: case scenario one hundred million, but probably somewhere, you know, 73 00:04:13,920 --> 00:04:17,120 Speaker 1: half billion to a billion dollars in the very fastest 74 00:04:17,120 --> 00:04:20,279 Speaker 1: ships that exist. Deep Seek did it with, or China 75 00:04:20,320 --> 00:04:22,960 Speaker 1: did it with much slower trips for about five and 76 00:04:23,000 --> 00:04:26,680 Speaker 1: a half million dollars. Wow, five and a half million dollars. 77 00:04:27,040 --> 00:04:30,160 Speaker 4: And another aspect of this worth mentioning is that we 78 00:04:30,160 --> 00:04:33,400 Speaker 4: were told that, don't worry, we'll keep the dirty commies 79 00:04:33,440 --> 00:04:38,279 Speaker 4: down with these export controls. But evidently they didn't control 80 00:04:38,400 --> 00:04:40,240 Speaker 4: nearly as much as it was claimed they would. 81 00:04:40,240 --> 00:04:42,919 Speaker 1: In terms of progress, the headline being Silicon Valley is 82 00:04:43,040 --> 00:04:46,560 Speaker 1: raving about a maid in China a eye model. Deep 83 00:04:46,600 --> 00:04:50,240 Speaker 1: Seek is being called amazing and impressive despite working with 84 00:04:50,320 --> 00:04:53,839 Speaker 1: less advanced chips, which is its own because that was 85 00:04:53,880 --> 00:04:58,560 Speaker 1: our big advantage. We got the super fast chips here 86 00:04:58,560 --> 00:05:00,600 Speaker 1: in America. You don't have them. We can make them. 87 00:05:00,600 --> 00:05:02,600 Speaker 1: They're gonna get better and better and better. And if 88 00:05:02,640 --> 00:05:04,760 Speaker 1: for whatever reason, the Chinese can do it without the 89 00:05:04,760 --> 00:05:07,080 Speaker 1: super fast chips. Who knows where this goes? 90 00:05:08,160 --> 00:05:11,920 Speaker 4: Yeah, it was Marc Andreesen, the famed Silicon Valley venture capitalists, 91 00:05:11,960 --> 00:05:14,720 Speaker 4: who said, and he's been advising Trump. He has the 92 00:05:14,760 --> 00:05:17,480 Speaker 4: ear of the king, he said, quote deep SEEKR one 93 00:05:17,520 --> 00:05:19,640 Speaker 4: is one of the most amazing and impressive breakthroughs I've 94 00:05:19,680 --> 00:05:22,240 Speaker 4: ever seen, and he's seen some. 95 00:05:22,360 --> 00:05:25,280 Speaker 1: Deep Seek's advances sparked to sell off, led by chip 96 00:05:25,320 --> 00:05:28,960 Speaker 1: SHARE's early Monday on concerns over where the US huge 97 00:05:29,000 --> 00:05:32,160 Speaker 1: spending by US tech giants on leading edge semiconductors and 98 00:05:32,279 --> 00:05:37,599 Speaker 1: AI infrastructure was even justified. Ew so maybe you didn't 99 00:05:37,600 --> 00:05:44,280 Speaker 1: need to do all that. Oh yipes, We'll see where 100 00:05:44,320 --> 00:05:47,560 Speaker 1: this goes. Why, it'd be pretty mortifying if. 101 00:05:48,880 --> 00:05:51,719 Speaker 4: The United States of America had its pants pulled down 102 00:05:51,839 --> 00:05:58,120 Speaker 4: in the world of fast moving, low budget entrepreneurialism by 103 00:05:58,160 --> 00:06:00,160 Speaker 4: the communist Chinese. 104 00:06:00,440 --> 00:06:03,880 Speaker 1: That'd be too much to take. It'd be interesting. 105 00:06:04,000 --> 00:06:07,720 Speaker 4: I could take a pair of bicycle repairmen in Ohio 106 00:06:08,200 --> 00:06:10,599 Speaker 4: beating the US government to the design of the first 107 00:06:10,600 --> 00:06:14,360 Speaker 4: functioning the airplane powered flight. But man, if it's the 108 00:06:14,760 --> 00:06:16,520 Speaker 4: rush of the communist Chinese. 109 00:06:16,520 --> 00:06:24,480 Speaker 1: Oof. Yeah, since in theory it's all about being nimble 110 00:06:25,120 --> 00:06:31,040 Speaker 1: and quick and having the best talent and all these 111 00:06:31,040 --> 00:06:34,040 Speaker 1: different things that supposedly we have just such an advantage 112 00:06:34,040 --> 00:06:37,440 Speaker 1: over China. If they were able to do it way 113 00:06:37,520 --> 00:06:41,039 Speaker 1: less money, I don't know. Well, the communist thumb on 114 00:06:41,080 --> 00:06:42,760 Speaker 1: them all the time, Yeah, that would be. That would 115 00:06:42,800 --> 00:06:47,400 Speaker 1: be troubling. Wonder what we missed. You hate to have 116 00:06:47,400 --> 00:06:50,480 Speaker 1: a communist thumb on you. I wonder what we missed. 117 00:06:50,560 --> 00:06:52,800 Speaker 1: Did they just get lucky and have a you know, 118 00:06:52,839 --> 00:06:57,359 Speaker 1: their own Steve Jobs it's just super brilliant, or do 119 00:06:57,440 --> 00:07:00,000 Speaker 1: we have our own bureaucracies that have built up over time. 120 00:07:00,000 --> 00:07:03,040 Speaker 1: I'm in some of these tech worlds that are getting 121 00:07:03,080 --> 00:07:05,120 Speaker 1: thick and sludgy. 122 00:07:05,240 --> 00:07:07,640 Speaker 4: If you ask me to compare and contrast the Kansas 123 00:07:07,640 --> 00:07:11,240 Speaker 4: City Chiefs and Philadelphia Eagles offenses, I could do that 124 00:07:11,400 --> 00:07:13,680 Speaker 4: for a minute or two and not sound like an idiot. 125 00:07:14,280 --> 00:07:17,000 Speaker 4: You're asking me how the Chinese pull this off? I 126 00:07:17,040 --> 00:07:18,880 Speaker 4: will pass and defer to others. 127 00:07:18,680 --> 00:07:20,560 Speaker 1: All right, But I hope the smart people figure out 128 00:07:20,600 --> 00:07:28,760 Speaker 1: what maybe happened there. Yeah, that's disturbing though. You think 129 00:07:28,760 --> 00:07:33,160 Speaker 1: they have spies in the tech sector, Well, I guarantee you. 130 00:07:33,280 --> 00:07:36,600 Speaker 1: I mean they've stole the technology. I guarantee you they do. 131 00:07:36,680 --> 00:07:38,840 Speaker 1: But so you're like, is it maybe the way the 132 00:07:38,880 --> 00:07:41,800 Speaker 1: Soviets got the nuclear bomb, they had spies at Los Alamos, 133 00:07:42,040 --> 00:07:44,440 Speaker 1: Maybe that maybe they got our stuff and added to 134 00:07:44,480 --> 00:07:45,040 Speaker 1: their stuff. 135 00:07:45,200 --> 00:07:48,040 Speaker 4: I could be yeah, that's absolutely possible. In fact, I 136 00:07:48,080 --> 00:07:50,040 Speaker 4: think you can assume that there's an element of that. 137 00:07:50,280 --> 00:07:55,840 Speaker 4: But uh, heck, I mean, if our guys are tech gurus, 138 00:07:55,920 --> 00:07:57,480 Speaker 4: learned from this all the better. 139 00:07:57,920 --> 00:08:04,400 Speaker 1: Competition. Competition makes you strong longer. Yeah, yeah, if nothing else, 140 00:08:04,440 --> 00:08:06,360 Speaker 1: it's going to light a fire under their hind ends 141 00:08:06,360 --> 00:08:08,480 Speaker 1: to want to They go, we ain't. We ain't the 142 00:08:08,600 --> 00:08:11,840 Speaker 1: king of the hill quite the way we thought we were. Well. 143 00:08:11,920 --> 00:08:16,960 Speaker 4: On the other hand, if communist overlord's design their army 144 00:08:16,960 --> 00:08:21,600 Speaker 4: of commi bots to sweep over the landscape and subjugate us, 145 00:08:21,600 --> 00:08:24,360 Speaker 4: now that'll be bad. That won't make us stronger. But 146 00:08:24,440 --> 00:08:26,360 Speaker 4: competition does generally speak. 147 00:08:26,160 --> 00:08:28,640 Speaker 1: And nobody wants to be under the old CT as 148 00:08:28,680 --> 00:08:28,960 Speaker 1: we know. 149 00:08:29,160 --> 00:08:36,160 Speaker 4: No, certainly not the old communist thumb commy bots. It's 150 00:08:36,200 --> 00:08:39,480 Speaker 4: a nightmarish scenario. You know what's another nightmare scenario and 151 00:08:39,559 --> 00:08:41,800 Speaker 4: much more likely to happen, is somebody break into your 152 00:08:41,800 --> 00:08:44,160 Speaker 4: house and steal your stuff, or threaten your loved ones, 153 00:08:44,280 --> 00:08:46,200 Speaker 4: or just remove that sense of security that you have. 154 00:08:46,520 --> 00:08:49,280 Speaker 4: And that's why I simply save home securities active door 155 00:08:50,280 --> 00:08:51,600 Speaker 4: take two, Active guard. 156 00:08:51,720 --> 00:08:55,600 Speaker 1: Outdoor protection is so great it stops break ins before 157 00:08:55,720 --> 00:08:59,640 Speaker 1: they happen. Sorry, he's reading some good texts about the 158 00:09:00,559 --> 00:09:02,520 Speaker 1: the Chinese AI and stuff like that. I'll bring to 159 00:09:02,559 --> 00:09:04,079 Speaker 1: you in just a second. And of course they're using 160 00:09:04,200 --> 00:09:06,960 Speaker 1: AI with the Simply Safe to get an eye on 161 00:09:06,960 --> 00:09:09,200 Speaker 1: those people that are thinking about breaking in your house 162 00:09:09,240 --> 00:09:11,320 Speaker 1: and then live agency all that. And you'd think this 163 00:09:11,320 --> 00:09:13,840 Speaker 1: would be super expensive, but about a dollar a day, 164 00:09:14,360 --> 00:09:17,760 Speaker 1: sixty day satisfaction guarantee, So there's no risk whatsoever in 165 00:09:17,800 --> 00:09:19,679 Speaker 1: trying simply Safe. And there's no contract. 166 00:09:20,320 --> 00:09:22,480 Speaker 4: Oh man, any of us who'd squandered our money on 167 00:09:22,760 --> 00:09:26,320 Speaker 4: the traditional security system. That's amazing, best monitoring you've ever 168 00:09:26,360 --> 00:09:28,720 Speaker 4: seen your life for around a dollar a day, sixty 169 00:09:28,760 --> 00:09:32,200 Speaker 4: day satisfaction guarantee your money back, and this year or 170 00:09:32,240 --> 00:09:33,960 Speaker 4: this month is not going to be much money either. 171 00:09:33,960 --> 00:09:36,160 Speaker 4: Start the year with a great peace of mind, with 172 00:09:36,240 --> 00:09:39,040 Speaker 4: simply safe. Go to simply safe dot com slash armstrong. 173 00:09:39,120 --> 00:09:41,559 Speaker 4: Get fifty percent off a new system with a professional 174 00:09:41,559 --> 00:09:45,240 Speaker 4: monitoring plan, your first month free. Again, that's fifty percent 175 00:09:45,280 --> 00:09:47,520 Speaker 4: off simply safe dot com slash armstrong. 176 00:09:47,559 --> 00:09:51,560 Speaker 1: There's no safe flight, simply save. Somebody texted a good point. 177 00:09:51,640 --> 00:09:54,600 Speaker 1: A Chinese AI doesn't have to worry about being woke. 178 00:09:55,280 --> 00:09:57,440 Speaker 1: They're not spending a second thinking about that. 179 00:09:58,280 --> 00:10:00,960 Speaker 4: Oh yeah, true enough, Although they are up for the 180 00:10:00,960 --> 00:10:04,319 Speaker 4: Communist Party's evils. They did some test searches on there 181 00:10:04,559 --> 00:10:06,720 Speaker 4: and you can't get it to say anything mean about 182 00:10:06,720 --> 00:10:07,240 Speaker 4: Shijin ting. 183 00:10:07,400 --> 00:10:09,320 Speaker 1: But ours are screwed up in that way too. In 184 00:10:09,320 --> 00:10:13,000 Speaker 1: a way, well, speaking of the evil Chinese Communist Party, 185 00:10:13,040 --> 00:10:15,040 Speaker 1: how about the news that came out over the weekend. 186 00:10:15,200 --> 00:10:20,800 Speaker 1: CIA says the most likely way COVID came about is 187 00:10:20,840 --> 00:10:23,520 Speaker 1: a leak at the wool Wuhan lab. Now, they do 188 00:10:23,600 --> 00:10:29,439 Speaker 1: say their level of certainty is low, but it's the 189 00:10:29,480 --> 00:10:33,200 Speaker 1: most likely thing, which is the same thing the FBI said, 190 00:10:33,559 --> 00:10:35,800 Speaker 1: it's the most likely thing. We can't prove it, but 191 00:10:35,800 --> 00:10:38,080 Speaker 1: it's the most likely thing. What I was wondering, and 192 00:10:38,120 --> 00:10:40,199 Speaker 1: I was thinking, I had a certain person in mind 193 00:10:40,600 --> 00:10:42,240 Speaker 1: when I was thinking about this because I'd had an 194 00:10:42,320 --> 00:10:45,280 Speaker 1: argument with them after the FBI announced this a couple 195 00:10:45,320 --> 00:10:47,920 Speaker 1: of years ago, and they said, yeah, but that doesn't 196 00:10:47,960 --> 00:10:51,560 Speaker 1: prove it. Well, no, I realized that, but it's the 197 00:10:51,600 --> 00:10:54,120 Speaker 1: most likely thing. Yes, but that's not proof that it is. 198 00:10:54,120 --> 00:10:57,200 Speaker 1: And I'm My reaction to that crowd and that person 199 00:10:57,240 --> 00:11:03,920 Speaker 1: would be what are you using for your guidance? Is 200 00:11:04,120 --> 00:11:06,960 Speaker 1: what's driving your pushback? Is there anything that drives the 201 00:11:06,960 --> 00:11:10,800 Speaker 1: pushback to this theory other than Trump blamed it on 202 00:11:10,840 --> 00:11:13,040 Speaker 1: the Chinese and so you don't want to be on 203 00:11:13,040 --> 00:11:17,600 Speaker 1: his side? Is there anything other than that? No? 204 00:11:17,600 --> 00:11:20,400 Speaker 4: No, certainly not among laymen. I mean, if you are 205 00:11:20,440 --> 00:11:23,160 Speaker 4: a microbiologist and you say, I do not find the 206 00:11:23,160 --> 00:11:26,120 Speaker 4: comparison of the spike proteins to natural proteins in bad 207 00:11:26,360 --> 00:11:27,560 Speaker 4: Standard to be compelling. 208 00:11:27,800 --> 00:11:29,839 Speaker 1: Okay, fine, that's all right. I'll listen to you. I 209 00:11:29,840 --> 00:11:31,439 Speaker 1: think you're wrong, but I'll listen to you. But no, 210 00:11:31,640 --> 00:11:34,320 Speaker 1: if it's just a layman saying no, no, I think 211 00:11:34,360 --> 00:11:37,280 Speaker 1: it was naturally occurring because they've been taught to hate 212 00:11:37,360 --> 00:11:40,360 Speaker 1: everything Trump believes. No, you're a get out of the way, 213 00:11:40,400 --> 00:11:43,200 Speaker 1: you're a cultist. It's got to be especially now that 214 00:11:43,240 --> 00:11:45,400 Speaker 1: the FBI and CIA have come out and said it's 215 00:11:45,440 --> 00:11:47,960 Speaker 1: most likely thing. But the other part of that that 216 00:11:48,000 --> 00:11:49,600 Speaker 1: I want to make sure you heard because you might 217 00:11:49,640 --> 00:11:52,880 Speaker 1: not know this if I can find my particular text 218 00:11:52,880 --> 00:11:54,199 Speaker 1: around that. And we're going to get to the stuff 219 00:11:54,240 --> 00:11:57,640 Speaker 1: that came out over the weekend about how schools didn't 220 00:11:57,720 --> 00:12:00,280 Speaker 1: it didn't help anything to have the schools show down 221 00:12:00,320 --> 00:12:04,200 Speaker 1: the way we did, which is really really maddening. The 222 00:12:04,600 --> 00:12:08,080 Speaker 1: uh bla blah blah blah. No clear benefit from shutting 223 00:12:08,080 --> 00:12:09,839 Speaker 1: down the schools. Yeah, we're gonna get into that topic 224 00:12:09,840 --> 00:12:13,360 Speaker 1: a little bit later. Give myself two seconds to find this. 225 00:12:13,440 --> 00:12:17,720 Speaker 1: If I can, I'll just summarize it. I don't go ahead. 226 00:12:19,040 --> 00:12:23,960 Speaker 1: The CIA analysts supporting lab origin. Thing was completed and 227 00:12:24,000 --> 00:12:29,120 Speaker 1: published internally during the Biden administration. That came out during 228 00:12:29,160 --> 00:12:31,920 Speaker 1: the Bid Biden administration. You're only hearing about hearing about 229 00:12:31,960 --> 00:12:34,400 Speaker 1: it now because Trump is in office. It was held 230 00:12:34,559 --> 00:12:38,240 Speaker 1: from the public by the Biden administration in violation by 231 00:12:38,280 --> 00:12:41,080 Speaker 1: the way of the COVID Act, which mandated the release. 232 00:12:41,480 --> 00:12:47,000 Speaker 1: They didn't want. So you're so concerned about misinformation, Joe Biden. Oh, 233 00:12:47,040 --> 00:12:50,480 Speaker 1: these these social media platforms and they're not even gonna 234 00:12:50,480 --> 00:12:53,840 Speaker 1: fact check anymore. Jack, and I'm worried about misinformation. How 235 00:12:53,880 --> 00:12:58,880 Speaker 1: about the opposite of misinformation, hiding facts, which is its 236 00:12:58,880 --> 00:13:02,000 Speaker 1: own kind of lies bi omission, it's its own misinformation. 237 00:13:02,160 --> 00:13:04,200 Speaker 1: What do you think about, bat Well? 238 00:13:04,280 --> 00:13:06,320 Speaker 4: That was a thread that ran through virtually all of 239 00:13:06,360 --> 00:13:10,840 Speaker 4: the Biden administration's COVID policies, dishonesty and suppression of any descent, 240 00:13:11,280 --> 00:13:14,640 Speaker 4: even when that descent, the Great Barrington Declaration was one 241 00:13:14,720 --> 00:13:16,080 Speaker 4: hundred percent correct. 242 00:13:16,120 --> 00:13:18,800 Speaker 1: Oh, I'm getting way closer on board to the whole 243 00:13:18,880 --> 00:13:22,040 Speaker 1: Joe Biden is the worst president we've ever had, and 244 00:13:22,280 --> 00:13:24,480 Speaker 1: there's a whole bunch of reasons why around his pardons 245 00:13:24,480 --> 00:13:26,120 Speaker 1: and everything like that. We ought to talk about that, 246 00:13:26,280 --> 00:13:29,760 Speaker 1: among other things on the way stay with us, Armstrong 247 00:13:29,880 --> 00:13:30,400 Speaker 1: and Yetti. 248 00:13:31,160 --> 00:13:34,720 Speaker 5: The country's bird flu outbreak is creating egg shortages and 249 00:13:34,760 --> 00:13:38,600 Speaker 5: sending prices soaring. At least thirty six million egg laying 250 00:13:38,679 --> 00:13:41,480 Speaker 5: chickens have been killed in recent months to prevent the 251 00:13:41,520 --> 00:13:44,240 Speaker 5: spread of the virus. There has been no evidence of 252 00:13:44,320 --> 00:13:47,520 Speaker 5: person to person spread, but at least sixty seven people 253 00:13:47,600 --> 00:13:50,320 Speaker 5: have been infected and one person has died. 254 00:13:50,679 --> 00:13:52,920 Speaker 1: It spent a great week. I basically hit all my 255 00:13:53,000 --> 00:13:55,839 Speaker 1: campaign promises, except for the one people cared about. Price 256 00:13:55,880 --> 00:13:59,360 Speaker 1: of eggs all time high. Who would have thought it'd 257 00:13:59,360 --> 00:14:02,520 Speaker 1: be easier to get He's firing Gaza. They bring down 258 00:14:02,559 --> 00:14:05,079 Speaker 1: the price of eggs. You might have to take the 259 00:14:05,120 --> 00:14:05,880 Speaker 1: yl on that one. 260 00:14:06,720 --> 00:14:09,960 Speaker 6: You know, we're looking into some fabulous alternative egg options, 261 00:14:10,000 --> 00:14:13,079 Speaker 6: such as seagull or perhaps Catbury. 262 00:14:17,000 --> 00:14:19,480 Speaker 4: One of the few laughs in the Saturday Night Live 263 00:14:19,640 --> 00:14:24,640 Speaker 4: cold Open. In my opinion, you know it's bad for 264 00:14:24,680 --> 00:14:26,720 Speaker 4: the birds. The bird flew, there's no doubt about that. 265 00:14:27,600 --> 00:14:29,680 Speaker 4: And it's certain the price of eggs. But can you 266 00:14:29,720 --> 00:14:31,680 Speaker 4: stop trying to convince me that I'm going to die 267 00:14:31,680 --> 00:14:37,640 Speaker 4: of it? We're clearly not anyway. Jack, Every year the 268 00:14:37,800 --> 00:14:40,600 Speaker 4: major industrialized countries of the year administer and I had 269 00:14:40,600 --> 00:14:44,120 Speaker 4: no idea of this. A global test of adult know how, 270 00:14:44,440 --> 00:14:47,840 Speaker 4: which measures job readiness and problem solving among workers in 271 00:14:47,840 --> 00:14:49,120 Speaker 4: industrialized countries. 272 00:14:49,280 --> 00:14:50,880 Speaker 1: What how do they test my know how? 273 00:14:51,720 --> 00:14:51,880 Speaker 3: Uh? 274 00:14:52,040 --> 00:14:58,360 Speaker 4: They're all sorts of questions that the grill workers between 275 00:14:58,360 --> 00:15:01,600 Speaker 4: the ages of sixteen sixty f five to do all 276 00:15:01,640 --> 00:15:05,680 Speaker 4: sorts of stuff, make inferences from sections of text, manipulate fractions, 277 00:15:05,720 --> 00:15:12,160 Speaker 4: apply spatial reasoning, create a complex travel itinerary read a thermometer, 278 00:15:16,480 --> 00:15:21,560 Speaker 4: read a thermometer, read a thermometer, and finding information from 279 00:15:21,600 --> 00:15:24,200 Speaker 4: a website, and American workers are falling behind those in 280 00:15:24,280 --> 00:15:27,160 Speaker 4: other rich countries. We have lost more ground after the 281 00:15:27,240 --> 00:15:33,760 Speaker 4: pandemic and have gained less of it back reading a thermometer. Anyway, 282 00:15:34,200 --> 00:15:36,320 Speaker 4: I could hit you with the statistics, but they are troubling. 283 00:15:36,360 --> 00:15:38,280 Speaker 1: I don't think you really do gain it back. Based 284 00:15:38,320 --> 00:15:42,040 Speaker 1: on my personal experience and talking to teachers, it's just lost. 285 00:15:42,240 --> 00:15:43,680 Speaker 1: They're just going to be behind. 286 00:15:44,640 --> 00:15:48,720 Speaker 4: I think if there were a carefully conceived and energetically 287 00:15:48,800 --> 00:15:52,720 Speaker 4: implemented plan to catch the kids up, I think you 288 00:15:52,800 --> 00:15:53,400 Speaker 4: could do it. 289 00:15:53,440 --> 00:15:55,600 Speaker 1: But we lack both of those things. Boy, I don't 290 00:15:55,600 --> 00:15:59,920 Speaker 1: know if that's possible unless you really redid things. Lots 291 00:15:59,920 --> 00:16:07,080 Speaker 1: of public schools barely many don't reach the incredibly easy 292 00:16:07,120 --> 00:16:11,120 Speaker 1: proficiency standards that already exist. How are you gonna I mean, 293 00:16:11,160 --> 00:16:13,640 Speaker 1: if you weren't when you were going to school all 294 00:16:13,680 --> 00:16:15,880 Speaker 1: the time, how are you gonna catch people? I don't 295 00:16:15,960 --> 00:16:17,760 Speaker 1: understand how the current structure could do that. 296 00:16:18,360 --> 00:16:21,800 Speaker 4: And if you miss the window of a child, say 297 00:16:21,960 --> 00:16:25,240 Speaker 4: seven eight years old, when they their brains are just 298 00:16:25,440 --> 00:16:30,240 Speaker 4: astounding sponges, incredibly effective at picking up information processing it learning. 299 00:16:31,600 --> 00:16:34,440 Speaker 1: You know, you cannot get that back. I think the other. 300 00:16:34,800 --> 00:16:37,800 Speaker 4: But that ought to be true more or less uniformly 301 00:16:37,840 --> 00:16:42,080 Speaker 4: across the world. Although because of Trump derangement syndrome, our 302 00:16:42,080 --> 00:16:45,160 Speaker 4: schools were closed much longer than virtually any other countries. 303 00:16:45,400 --> 00:16:50,000 Speaker 4: And it's inexcusable and unforgivable. I also just think, and 304 00:16:50,400 --> 00:16:54,520 Speaker 4: there's no denying this. Our schools have gone from an 305 00:16:54,520 --> 00:16:59,640 Speaker 4: almost exclusive emphasis on learning reading, writing and arithmetic and 306 00:16:59,720 --> 00:17:03,280 Speaker 4: history and critical thinking to now half a dozen other 307 00:17:03,360 --> 00:17:08,480 Speaker 4: goals about learning about equity and gender bending, madness and 308 00:17:08,520 --> 00:17:10,960 Speaker 4: the gender bred person and the rest of it. You know, 309 00:17:11,040 --> 00:17:13,800 Speaker 4: especially in Blue States, the kids are just they're not 310 00:17:14,000 --> 00:17:17,399 Speaker 4: focused on excellence. Here's something else having the obvious and 311 00:17:17,440 --> 00:17:20,879 Speaker 4: inevitable outcome. Here's something I'm surprised I never thought of, 312 00:17:21,000 --> 00:17:23,840 Speaker 4: or don't know. Did other countries do Zoom school? Did 313 00:17:23,840 --> 00:17:26,600 Speaker 4: they do like the United States and pretend that Zoom 314 00:17:26,640 --> 00:17:29,720 Speaker 4: was accomplishing anything, or did they resort to other ways 315 00:17:29,760 --> 00:17:32,000 Speaker 4: to try to teach their kids, Because if Zoom school 316 00:17:32,040 --> 00:17:35,080 Speaker 4: didn't exist, you might have been way more likely to 317 00:17:35,320 --> 00:17:37,000 Speaker 4: come up with a way to educate your kid at home. 318 00:17:37,040 --> 00:17:40,080 Speaker 4: I don't know, varies country by country obviously, but and 319 00:17:40,240 --> 00:17:43,480 Speaker 4: I mean this quite seriously, it is so troubling and 320 00:17:43,560 --> 00:17:47,119 Speaker 4: interesting that this actually happened in my lifetime in ours. 321 00:17:48,200 --> 00:17:51,560 Speaker 4: In other countries, they didn't have Trump derangement syndrome. 322 00:17:52,000 --> 00:17:54,720 Speaker 1: So when they would get data or see what other 323 00:17:54,760 --> 00:17:57,560 Speaker 1: countries experience was, they would say, oh, that's interesting, we 324 00:17:57,640 --> 00:18:01,439 Speaker 1: need to adjust. They wouldn't particularly screeched that it was 325 00:18:01,520 --> 00:18:03,960 Speaker 1: wrong or evil or you were causing people to die 326 00:18:04,080 --> 00:18:06,880 Speaker 1: or be banned from Facebook. They just took the information 327 00:18:06,920 --> 00:18:11,320 Speaker 1: and processed it. Trump's J six pardons were bad. Biden's 328 00:18:11,359 --> 00:18:15,760 Speaker 1: pardons were so much worse than you know, Statue Armstrong 329 00:18:15,880 --> 00:18:16,359 Speaker 1: and getty. 330 00:18:17,760 --> 00:18:20,960 Speaker 2: Senator, do you think that President Biden pardoning his own 331 00:18:21,040 --> 00:18:23,040 Speaker 2: family members set a bad precedent? 332 00:18:23,480 --> 00:18:27,040 Speaker 6: Absolutely, he was wrong to give these pardons. And among 333 00:18:27,080 --> 00:18:29,840 Speaker 6: other things, what it says now to the Trump family 334 00:18:29,880 --> 00:18:33,640 Speaker 6: and to President Trump's kids they can engage in any 335 00:18:33,760 --> 00:18:39,560 Speaker 6: kind of malfeasan's criminality, craft, whatever, and they can expect 336 00:18:39,560 --> 00:18:41,239 Speaker 6: to pardon on the way out the door. That is 337 00:18:41,280 --> 00:18:43,159 Speaker 6: not a message you want to send to this family 338 00:18:43,240 --> 00:18:45,840 Speaker 6: or really any family occupy in the White House. 339 00:18:46,359 --> 00:18:49,960 Speaker 1: That's Senator Adam Schiff, who's so full of crap. I 340 00:18:49,960 --> 00:18:53,520 Speaker 1: don't know how he sees out his eyes. Senator from 341 00:18:53,520 --> 00:18:56,879 Speaker 1: California saying, no, Joe Biden shouldn't have pardoned his family. 342 00:18:56,960 --> 00:19:01,640 Speaker 1: It's horrible, which partially knows you just how much the 343 00:19:01,760 --> 00:19:05,600 Speaker 1: Democratic establishment has turned on Joe Biden. At this point, you're. 344 00:19:05,480 --> 00:19:08,480 Speaker 4: Farther down the road of immorality than Adam Schiff and 345 00:19:08,560 --> 00:19:11,720 Speaker 4: he's calling you on it. Wow, pop calling I don't 346 00:19:11,800 --> 00:19:13,640 Speaker 4: know what a black hole black. 347 00:19:13,800 --> 00:19:15,960 Speaker 1: Yeah, they're not even gonna attempt to cover up for 348 00:19:16,040 --> 00:19:19,520 Speaker 1: but he was horrible, absolutely horrible. Just to make sure 349 00:19:19,520 --> 00:19:22,520 Speaker 1: we get both sides here, here's Lindsey Graham, who couldn't 350 00:19:22,560 --> 00:19:26,320 Speaker 1: be a bigger Trump supporter, saying this, but I fear 351 00:19:26,440 --> 00:19:27,960 Speaker 1: that you'll get more violence. 352 00:19:28,480 --> 00:19:30,680 Speaker 6: Parting the people who went into the cap and beat 353 00:19:30,760 --> 00:19:34,960 Speaker 6: up a police officer violently. I think was a mistake 354 00:19:35,080 --> 00:19:38,400 Speaker 6: because it seems to suggest that's an okay thing to do. 355 00:19:38,520 --> 00:19:42,040 Speaker 1: That's a bad day last week, the pardning of the 356 00:19:42,160 --> 00:19:44,919 Speaker 1: violent among the January sixth people, and then Joe Biden 357 00:19:45,359 --> 00:19:49,440 Speaker 1: pardoning his family preemptively. That's just not a good day 358 00:19:49,440 --> 00:19:51,240 Speaker 1: for the United States of America right there. 359 00:19:52,040 --> 00:19:56,440 Speaker 4: No, indeed, and also Biden's pardoning of the nearly fifteen 360 00:19:56,640 --> 00:20:03,080 Speaker 4: hundred quote unquote non violent drug offenders pardoning in commutations, 361 00:20:03,280 --> 00:20:06,760 Speaker 4: some of whom are absolute monsters. And that's the problem 362 00:20:06,800 --> 00:20:10,159 Speaker 4: with pardoning fifteen hundred people. It's taken quite a while 363 00:20:10,640 --> 00:20:13,879 Speaker 4: for independent journalists to say, Wow, who are all these people? 364 00:20:13,960 --> 00:20:14,840 Speaker 1: Is this justified? 365 00:20:15,280 --> 00:20:18,199 Speaker 4: And some of them the one guy who he was 366 00:20:18,240 --> 00:20:24,400 Speaker 4: pardoned because the charge that they sentenced him to several 367 00:20:24,480 --> 00:20:27,840 Speaker 4: decades in prison for was quote unquote nonviolent. He was 368 00:20:27,880 --> 00:20:32,320 Speaker 4: running a drug syndicate. This guy, on multiple occasions broke 369 00:20:32,400 --> 00:20:38,920 Speaker 4: into rivals houses or you know, disobedient dealer's houses, and 370 00:20:39,240 --> 00:20:42,440 Speaker 4: tortured their loved ones until they told them. 371 00:20:42,400 --> 00:20:45,440 Speaker 1: Where the drugs or the money was. He poured boiling 372 00:20:45,600 --> 00:20:49,879 Speaker 1: water on the wives and or girlfriends of various associates 373 00:20:50,200 --> 00:20:53,360 Speaker 1: until they screamed for mercy and revealed where the drugs were. 374 00:20:53,600 --> 00:20:57,760 Speaker 1: He tased the genitals of one woman until she revealed 375 00:20:57,880 --> 00:21:00,919 Speaker 1: where the money was. The Feds just hardly, because his 376 00:21:01,040 --> 00:21:05,720 Speaker 1: victims were so terrified, didn't get convictions on that because. 377 00:21:05,400 --> 00:21:07,240 Speaker 4: They could put them away for thirty five years on 378 00:21:07,320 --> 00:21:10,879 Speaker 4: running a giant drug syndicate. So they did, and Biden 379 00:21:10,960 --> 00:21:13,040 Speaker 4: turned this guy loose. Can you imagine the horror of 380 00:21:13,080 --> 00:21:15,000 Speaker 4: his victims, the guy's on the streets. 381 00:21:17,119 --> 00:21:20,760 Speaker 1: Yeah, the fact that some people are starting to pay 382 00:21:20,800 --> 00:21:25,040 Speaker 1: attention to all of these pardons that Joe Biden unleashed 383 00:21:25,280 --> 00:21:29,400 Speaker 1: there in the final days and hours. It won't reach 384 00:21:29,520 --> 00:21:34,439 Speaker 1: very many people, unfortunately, but just freaking horrible. The whole 385 00:21:35,400 --> 00:21:38,680 Speaker 1: people are in jail for a long time for nonviolent 386 00:21:38,760 --> 00:21:42,159 Speaker 1: drug offenses has always been, or at least for a 387 00:21:42,280 --> 00:21:46,679 Speaker 1: long long time, ridiculous. If somebody's in for what seems 388 00:21:46,720 --> 00:21:50,640 Speaker 1: like a really long charge, look closer at what they 389 00:21:50,640 --> 00:21:53,800 Speaker 1: were doing with their lives before you jump into the 390 00:21:53,800 --> 00:21:56,000 Speaker 1: they had a joint, Now they're in jail for ten years. 391 00:21:56,080 --> 00:21:59,199 Speaker 1: That's not what's going on here. But so my question is, 392 00:21:59,240 --> 00:22:01,240 Speaker 1: so all these there's a couple of reasons what you 393 00:22:01,320 --> 00:22:05,040 Speaker 1: just said. People are terrified to some of these violent people, 394 00:22:05,040 --> 00:22:07,119 Speaker 1: so they don't testify him, and then you against him, 395 00:22:07,160 --> 00:22:10,080 Speaker 1: and then you got the whole gang culture thing where 396 00:22:10,080 --> 00:22:12,600 Speaker 1: people tend not to testify against each other. And then 397 00:22:12,640 --> 00:22:15,000 Speaker 1: the Feds decide what do we need there for? We 398 00:22:15,040 --> 00:22:16,760 Speaker 1: can put this guy in jail for thirty years on 399 00:22:16,800 --> 00:22:23,480 Speaker 1: the drug charges. So you do that, where where does 400 00:22:23,640 --> 00:22:26,119 Speaker 1: Joe Biden and his crowd come up with the we 401 00:22:26,200 --> 00:22:29,320 Speaker 1: need to release these non violent drug offenders. Does he 402 00:22:29,400 --> 00:22:31,520 Speaker 1: not know? Did he not? I don't know if he 403 00:22:31,600 --> 00:22:33,680 Speaker 1: knows anything. His brain didn't work. But did the people 404 00:22:33,680 --> 00:22:37,159 Speaker 1: write beneath him not know that you got a scumbag 405 00:22:37,280 --> 00:22:39,560 Speaker 1: like this who's almost certainly going to go out and 406 00:22:39,640 --> 00:22:42,320 Speaker 1: hurt somebody again. That's when it has become a news story. 407 00:22:42,440 --> 00:22:46,000 Speaker 1: When he wrote down those who testified against him as 408 00:22:46,000 --> 00:22:50,240 Speaker 1: we speak. Yeah, when he tortures those people again and 409 00:22:50,400 --> 00:22:52,440 Speaker 1: this makes the news. Of course, what are you gonna do? 410 00:22:52,560 --> 00:22:55,000 Speaker 1: Not vote for Joe Biden? Yeah? 411 00:22:55,080 --> 00:22:57,760 Speaker 4: Yeah, Well, you know it's funny. I would not have 412 00:22:57,960 --> 00:23:06,520 Speaker 4: believed the following statement until it became clear that Biden's 413 00:23:06,520 --> 00:23:09,560 Speaker 4: inner circle was protecting him from all bad news, all 414 00:23:09,600 --> 00:23:12,119 Speaker 4: bad pole results. They were just not telling the old man. 415 00:23:12,280 --> 00:23:14,479 Speaker 4: People were warned, we've talked about this before they went 416 00:23:14,520 --> 00:23:17,680 Speaker 4: into the Oval office, do not give him any bad news. 417 00:23:17,720 --> 00:23:19,920 Speaker 1: Which is just horrendous. 418 00:23:20,400 --> 00:23:24,040 Speaker 4: But now I'm convinced that, Yeah, his left advice, far 419 00:23:24,160 --> 00:23:27,960 Speaker 4: left advisors convinced them that hey, these fifteen hundred people 420 00:23:28,000 --> 00:23:31,160 Speaker 4: are all innocence, They've been screwed. It's probably racism, mister President, 421 00:23:31,680 --> 00:23:34,199 Speaker 4: they're all really nice people and will immediately run out 422 00:23:34,240 --> 00:23:37,040 Speaker 4: to volunteer for the Kowanas Club and raise money for 423 00:23:37,080 --> 00:23:41,600 Speaker 4: blind children. And Joe Senile Joe signed the forums and 424 00:23:41,640 --> 00:23:44,080 Speaker 4: turned them all loose. But here's a couple more. Here's 425 00:23:44,119 --> 00:23:48,600 Speaker 4: a woman who embezzled nearly fifty four million dollars from 426 00:23:48,640 --> 00:23:52,159 Speaker 4: the town of Dixon, Illinois, where she was the comptroller. 427 00:23:52,600 --> 00:23:53,760 Speaker 1: And here's a dude. 428 00:23:53,800 --> 00:23:58,320 Speaker 4: Can you imagine, imagine the human carnage and grief that 429 00:23:58,400 --> 00:24:02,080 Speaker 4: this guy spread. Convicted, he was a head of a 430 00:24:02,119 --> 00:24:06,320 Speaker 4: management firm. He was convicted of defrauding investors out of 431 00:24:06,320 --> 00:24:09,880 Speaker 4: more than six hundred and sixty five million dollars according 432 00:24:09,920 --> 00:24:14,800 Speaker 4: to the paper. How many poverty stricken ulsters are there 433 00:24:14,880 --> 00:24:18,040 Speaker 4: out there because of this guy, because he made their 434 00:24:18,080 --> 00:24:19,240 Speaker 4: life savings disappear. 435 00:24:19,440 --> 00:24:21,479 Speaker 1: But no, he was a non violent offender. He had 436 00:24:21,480 --> 00:24:22,399 Speaker 1: a very long sentence. 437 00:24:22,440 --> 00:24:25,919 Speaker 4: That's not fair, and so Joe just put pen to 438 00:24:25,960 --> 00:24:29,000 Speaker 4: paper for whoever his Marxist advisers told him to. 439 00:24:29,560 --> 00:24:36,200 Speaker 1: Shocking on for instance, that really horrible example of the 440 00:24:36,359 --> 00:24:39,600 Speaker 1: violent drug gang leader who was pouring boiling water on 441 00:24:39,840 --> 00:24:44,639 Speaker 1: people to torture them. Who's now out he's now out 442 00:24:44,680 --> 00:24:47,639 Speaker 1: and about and free because Joe Biden thought it was 443 00:24:47,640 --> 00:24:51,920 Speaker 1: a good idea to pardon him. Remembering Joe Biden back 444 00:24:51,960 --> 00:24:55,879 Speaker 1: in the nineties, he was the whole super predator, really 445 00:24:55,880 --> 00:24:58,960 Speaker 1: going to double down on our laws guy, We're going 446 00:24:59,040 --> 00:25:00,840 Speaker 1: to put him in jail of they do anything worse 447 00:25:00,920 --> 00:25:03,720 Speaker 1: than jaywalking. He said, instead of saying has, I'm gonna 448 00:25:03,720 --> 00:25:06,840 Speaker 1: say had because I really think he's a past tense 449 00:25:06,880 --> 00:25:08,480 Speaker 1: guy at this point. He doesn't even really know what's 450 00:25:08,480 --> 00:25:14,480 Speaker 1: going on. But he had no convictions, He had no 451 00:25:15,160 --> 00:25:19,480 Speaker 1: standards or morals or ideology. He just did whatever was 452 00:25:19,560 --> 00:25:22,800 Speaker 1: hot at the time to keep himself in office. And 453 00:25:22,960 --> 00:25:25,640 Speaker 1: we mentioned this last week. Sarah Isger of The Dispatch 454 00:25:25,680 --> 00:25:27,680 Speaker 1: wrote a great piece and you can google it. This 455 00:25:27,760 --> 00:25:29,800 Speaker 1: is one of those dispatches you have to pay for 456 00:25:29,840 --> 00:25:32,080 Speaker 1: it thing, but some of their best stuff they allow 457 00:25:32,160 --> 00:25:33,639 Speaker 1: to be out there for free. And you can just 458 00:25:33,680 --> 00:25:36,000 Speaker 1: google this and read it anywhere you want. The quiet 459 00:25:36,080 --> 00:25:39,560 Speaker 1: lawlessness of Joe Biden, where she argues that he is 460 00:25:39,600 --> 00:25:42,960 Speaker 1: the most lawless president we've had in US history. And 461 00:25:43,000 --> 00:25:45,320 Speaker 1: she's a lawyer and she goes through it thing by thing. 462 00:25:45,720 --> 00:25:47,840 Speaker 1: If you want to talk about Andrew Jackson and things 463 00:25:47,840 --> 00:25:50,560 Speaker 1: he did. She comes up with things Joe Biden did also, 464 00:25:50,880 --> 00:25:55,000 Speaker 1: But then Abraham Lincoln, Woodrow Wilson, Franklin Roosevelt, Barack Obama, 465 00:25:55,040 --> 00:25:57,960 Speaker 1: George W. Bush, Donald Trump, whoever you want to criticize 466 00:25:57,960 --> 00:26:00,879 Speaker 1: for doing lawless things, there's a there's an equivalent that 467 00:26:00,960 --> 00:26:03,920 Speaker 1: Joe Biden, except Joe Biden did all of them, not 468 00:26:04,040 --> 00:26:07,399 Speaker 1: just the individual examples you can use from each presidency. 469 00:26:07,480 --> 00:26:10,280 Speaker 1: He's the most lawless president we ever had, and he 470 00:26:10,359 --> 00:26:13,600 Speaker 1: should go down, as she says, he should be infamous 471 00:26:13,640 --> 00:26:16,680 Speaker 1: forever for this. I don't know that that's gonna happen. 472 00:26:16,760 --> 00:26:18,040 Speaker 1: Maybe over time. I don't know. 473 00:26:19,119 --> 00:26:22,160 Speaker 4: I think it will, I really do. He's a miserable 474 00:26:22,160 --> 00:26:23,280 Speaker 4: failure as a president. 475 00:26:23,880 --> 00:26:26,239 Speaker 1: I don't care about that. A hum being. I care 476 00:26:26,280 --> 00:26:27,879 Speaker 1: about that obviously, but I don't care about that in 477 00:26:27,920 --> 00:26:32,760 Speaker 1: the same way the lawlessness needs to be recognized or 478 00:26:32,119 --> 00:26:35,600 Speaker 1: were we're in a race to the bottom, then of 479 00:26:35,760 --> 00:26:39,760 Speaker 1: just the whole thing falling apart. If there's not going 480 00:26:39,800 --> 00:26:44,840 Speaker 1: to be any penalty, Historians, the media, whoever talking about 481 00:26:44,840 --> 00:26:48,679 Speaker 1: all the things that he did, then of course future 482 00:26:48,720 --> 00:26:50,960 Speaker 1: presidents are going to do it. Donald Trump and whoever 483 00:26:51,040 --> 00:26:51,760 Speaker 1: else comes in the. 484 00:26:51,680 --> 00:26:56,040 Speaker 4: Future, right right, And I think we the people need to, 485 00:26:56,200 --> 00:26:58,640 Speaker 4: regardless of which way we swing, just call it when 486 00:26:58,680 --> 00:27:00,880 Speaker 4: we see it. If our side is el say, hey, 487 00:27:00,960 --> 00:27:02,880 Speaker 4: quit being evil. I don't want evil. 488 00:27:02,640 --> 00:27:07,720 Speaker 1: Done on my behalf please. Yeah, that's really rough man 489 00:27:07,800 --> 00:27:10,080 Speaker 1: and the idea. So I was listening to the podcast 490 00:27:10,160 --> 00:27:13,119 Speaker 1: which Sarah Isger was talking about. She was making the 491 00:27:13,240 --> 00:27:15,639 Speaker 1: argument that and a lot of people will probably like this, 492 00:27:15,880 --> 00:27:20,280 Speaker 1: that Joe Biden's pardons were clearly worse than Donald Trump's 493 00:27:20,359 --> 00:27:25,240 Speaker 1: j six pardons in that she doesn't think old one 494 00:27:25,240 --> 00:27:27,760 Speaker 1: eyed what's his name who led the Proud Boys, is 495 00:27:27,800 --> 00:27:30,000 Speaker 1: going to go out there and lead another insurrection in 496 00:27:30,040 --> 00:27:34,200 Speaker 1: which cops get beaten down. But she's certain that drug 497 00:27:34,240 --> 00:27:36,399 Speaker 1: dealer guy is going to go out and torture and 498 00:27:36,480 --> 00:27:39,399 Speaker 1: murder more people. And I think you can make that 499 00:27:39,520 --> 00:27:43,480 Speaker 1: argument pretty clearly. Yeah, Well, and you don't have to 500 00:27:43,480 --> 00:27:47,320 Speaker 1: pick one. You don't think they're both immoral as I do. Ye, 501 00:27:47,440 --> 00:27:49,240 Speaker 1: you know, call them both. Neither one of them should 502 00:27:49,240 --> 00:27:52,840 Speaker 1: have happened. Yeah, Oh, it's just it didn't get near 503 00:27:52,920 --> 00:27:57,200 Speaker 1: the coverage it should have gotten all the way around. Well, 504 00:27:57,200 --> 00:28:00,840 Speaker 1: and imagine your strategy for getting some cover for yourself 505 00:28:00,920 --> 00:28:04,200 Speaker 1: is Yes, I'm going to pardon or commune sentences of 506 00:28:04,240 --> 00:28:07,720 Speaker 1: fourteen hundred criminals, many of whom are monsters. But I 507 00:28:07,760 --> 00:28:09,840 Speaker 1: will do something so much worse than that. 508 00:28:10,400 --> 00:28:14,679 Speaker 4: I will give preemptive license for lawlessness to all of 509 00:28:14,720 --> 00:28:18,800 Speaker 4: my family and doctor Fauci, who's probably indirectly responsible for 510 00:28:18,840 --> 00:28:21,679 Speaker 4: the deaths of millions of people. Yes, that's what I'll do. 511 00:28:22,240 --> 00:28:26,360 Speaker 1: Yeah, the one you get though, I understand pardoning the family. 512 00:28:27,080 --> 00:28:29,560 Speaker 1: It's selfish and wrong and the very sort of thing 513 00:28:29,560 --> 00:28:32,159 Speaker 1: our founding fathers worried about. But you understand why he 514 00:28:32,200 --> 00:28:35,200 Speaker 1: did it. We're running a family criminal enterprise, and I 515 00:28:35,240 --> 00:28:38,120 Speaker 1: don't want anybody to pay a price board. I don't 516 00:28:38,200 --> 00:28:42,240 Speaker 1: understand why you pardoned violent drug offenders because you thought 517 00:28:42,280 --> 00:28:45,320 Speaker 1: you'd curry favor with the most progressive out there so 518 00:28:45,400 --> 00:28:48,440 Speaker 1: you could what. No, he just doesn't. No. 519 00:28:48,560 --> 00:28:51,080 Speaker 4: I think you're way over estimating his role in this. No, 520 00:28:51,200 --> 00:28:54,000 Speaker 4: I wasn't there. I could be wrong, but I seriously 521 00:28:54,040 --> 00:28:57,640 Speaker 4: think it was very much like when a scammer a 522 00:28:57,680 --> 00:29:02,400 Speaker 4: monster puts the pen in the hand of a senile 523 00:29:03,040 --> 00:29:08,520 Speaker 4: elder and has them sign a form to sign over 524 00:29:08,560 --> 00:29:12,280 Speaker 4: their savings to the fraudster. I think his lefty advisors 525 00:29:12,920 --> 00:29:18,240 Speaker 4: quite literally defrauded him into thinking he was just turning loose, 526 00:29:18,600 --> 00:29:20,840 Speaker 4: innocent people who would go and go on to be 527 00:29:20,880 --> 00:29:23,719 Speaker 4: good for their community because they are neo Marxists. 528 00:29:23,880 --> 00:29:27,440 Speaker 1: So their motivation is there just that gas crowd where 529 00:29:27,480 --> 00:29:29,680 Speaker 1: nobody should be in jail. 530 00:29:29,800 --> 00:29:33,480 Speaker 4: Empty the prisons, Yeah, George Gascone, Gavin Newsom, that whole 531 00:29:34,360 --> 00:29:37,640 Speaker 4: super left Marxist empty the prisons crowd. 532 00:29:37,800 --> 00:29:42,120 Speaker 1: Yeah, boy, that's evil. Yeah. 533 00:29:42,240 --> 00:29:45,080 Speaker 4: I hope there are enough sane people close enough to 534 00:29:45,120 --> 00:29:48,040 Speaker 4: the last White House who will explain how it all 535 00:29:48,080 --> 00:29:53,680 Speaker 4: went down, And soon I think it'll be far worse 536 00:29:53,720 --> 00:29:57,480 Speaker 4: and more strange and troubling than we even imagine. 537 00:29:58,960 --> 00:30:01,800 Speaker 1: It's almost got to be, I mean it has to be. 538 00:30:02,080 --> 00:30:04,720 Speaker 1: How else could you justify a guy like we just described, 539 00:30:04,720 --> 00:30:06,960 Speaker 1: with the boiling water and the tortures and everything like that, 540 00:30:07,200 --> 00:30:10,640 Speaker 1: getting out. Yeah, it's well, it's very much like the 541 00:30:10,720 --> 00:30:14,600 Speaker 1: leftist reform of the three strikes law in California. They 542 00:30:14,640 --> 00:30:18,840 Speaker 1: would they would hammer on this guy's a non violent 543 00:30:19,120 --> 00:30:22,120 Speaker 1: fellon look, that conviction was nonviolent, but then you look 544 00:30:22,120 --> 00:30:24,040 Speaker 1: into his background and you see no, no, that was 545 00:30:24,120 --> 00:30:24,959 Speaker 1: just the lead conviction. 546 00:30:25,040 --> 00:30:26,880 Speaker 4: That was the big one. That was the longest sentence 547 00:30:26,920 --> 00:30:29,600 Speaker 4: he got. That was quote unquote nonviolent. It was like 548 00:30:29,720 --> 00:30:32,360 Speaker 4: selling drugs to school children for a decade. But there's 549 00:30:32,520 --> 00:30:37,800 Speaker 4: lots and lots of violence there. But they just they 550 00:30:38,320 --> 00:30:40,640 Speaker 4: shine the or they they hang the shiny object in 551 00:30:40,640 --> 00:30:43,680 Speaker 4: front of you. Have over one conviction, say he's nonviolent, 552 00:30:44,080 --> 00:30:46,200 Speaker 4: they're liars. 553 00:30:46,960 --> 00:30:50,880 Speaker 1: Horrifying. I hope he does go down in history as 554 00:30:50,920 --> 00:30:53,000 Speaker 1: the word. It doesn't have to be the worst president ever. 555 00:30:54,320 --> 00:31:01,680 Speaker 1: Just a horrible, just horribly, just a horrible, lying human 556 00:31:01,720 --> 00:31:03,520 Speaker 1: being who did all kinds of things we shouldn't allow 557 00:31:03,600 --> 00:31:07,840 Speaker 1: presidents to do. Utterly unprincipled. Wow, and he pulled it 558 00:31:07,880 --> 00:31:10,600 Speaker 1: off for a very very long time. Went to the 559 00:31:10,600 --> 00:31:15,360 Speaker 1: Bob Dylan movie which is being nominated, was nominated for 560 00:31:15,400 --> 00:31:17,080 Speaker 1: Best Picture. I want to talk a little bit about that. 561 00:31:17,120 --> 00:31:20,080 Speaker 1: For a variety of reasons, my son, what does my 562 00:31:20,120 --> 00:31:24,400 Speaker 1: thirteen year old he was at least twenty years younger 563 00:31:24,400 --> 00:31:28,200 Speaker 1: than the next youngest person in the theater, for I 564 00:31:28,200 --> 00:31:31,480 Speaker 1: think obvious reasons. But anyway, stay here, you made it right. 565 00:31:31,680 --> 00:32:00,960 Speaker 1: Ladders written a long time Armstrong and Yetti. He saw 566 00:32:01,040 --> 00:32:03,400 Speaker 1: Saturday in a love he saw this, so Timothy Shalomey 567 00:32:03,400 --> 00:32:07,320 Speaker 1: who plays Dylan in the new movie It's a Complete Unknown. 568 00:32:07,360 --> 00:32:10,240 Speaker 1: He's nominated for an Oscar for playing Dylan. The Pictures 569 00:32:10,440 --> 00:32:12,560 Speaker 1: nominated for Best Picture, and he did a couple of 570 00:32:13,040 --> 00:32:14,680 Speaker 1: and I'm a big Bob Dylan fan. He did a 571 00:32:14,720 --> 00:32:16,720 Speaker 1: couple of obscured Dylan songs I didn't even know in 572 00:32:16,760 --> 00:32:18,960 Speaker 1: a very cool block and roll sort of way. He 573 00:32:19,040 --> 00:32:23,000 Speaker 1: was the host and musical guest. Anyway, he's one of 574 00:32:23,000 --> 00:32:25,840 Speaker 1: those guys that, like, I don't want to like him 575 00:32:25,880 --> 00:32:29,680 Speaker 1: because he's really young, and he's really pretty and he just, 576 00:32:29,840 --> 00:32:32,040 Speaker 1: you know, I don't want to like that kind of guy. 577 00:32:32,200 --> 00:32:34,680 Speaker 1: But talented and rich too. I hate him. Say that 578 00:32:34,800 --> 00:32:40,760 Speaker 1: I hate him. Yeah. Anyway, I loved the movie and 579 00:32:40,800 --> 00:32:42,920 Speaker 1: my son liked it. My thirteen year old really liked it, 580 00:32:42,960 --> 00:32:45,120 Speaker 1: which was kind of shocking. Well, I actually ended up 581 00:32:45,120 --> 00:32:47,560 Speaker 1: going on Saturday because I was had a little gathering 582 00:32:47,640 --> 00:32:50,719 Speaker 1: thingy and somebody came in and said, uh, I went 583 00:32:50,840 --> 00:32:53,280 Speaker 1: to complete unown lass, Like, oh yeah, I went the 584 00:32:53,320 --> 00:32:55,080 Speaker 1: other night. It was awesome and it was a and 585 00:32:55,080 --> 00:32:56,800 Speaker 1: a bunch of people were chiming in with how much 586 00:32:56,880 --> 00:32:59,239 Speaker 1: they loved it. And it ranged in age from like 587 00:32:59,360 --> 00:33:05,840 Speaker 1: twenty two seventy two, and I thought interesting, And my 588 00:33:05,920 --> 00:33:07,920 Speaker 1: son likes Bob Dylan, so he went and he really 589 00:33:07,960 --> 00:33:11,200 Speaker 1: liked the movie Joe mentioned last week, and I felt 590 00:33:11,200 --> 00:33:13,560 Speaker 1: the same way. I was hesitant to want to go 591 00:33:13,600 --> 00:33:15,920 Speaker 1: to that because I like Bob Dylan so much and 592 00:33:15,960 --> 00:33:17,960 Speaker 1: his music matters so much to me, and I've spent 593 00:33:18,000 --> 00:33:21,120 Speaker 1: so much time listening to it, and everything just kind 594 00:33:21,120 --> 00:33:28,040 Speaker 1: of a Hollywood whatever they do in Hollywood version of 595 00:33:28,080 --> 00:33:31,640 Speaker 1: that was gonna really make me angry or so in short, 596 00:33:32,000 --> 00:33:35,600 Speaker 1: that's what they do. They ruin things. I didn't want 597 00:33:35,640 --> 00:33:37,760 Speaker 1: him to take something that I think is important and 598 00:33:37,840 --> 00:33:40,719 Speaker 1: cool and like dumb it down. They did not. They 599 00:33:40,760 --> 00:33:43,800 Speaker 1: did not dumb it down at all. Wow, which I 600 00:33:43,840 --> 00:33:45,880 Speaker 1: really enjoyed it was. It was one of those times 601 00:33:45,920 --> 00:33:48,880 Speaker 1: where you or felt like, Wow, this TV show or 602 00:33:48,920 --> 00:33:52,280 Speaker 1: movies actually treating us like smart grown ups, like not 603 00:33:52,400 --> 00:33:54,440 Speaker 1: worried about the dumb among us, the dumb among us, 604 00:33:54,560 --> 00:33:58,600 Speaker 1: you know, leave. I mean I like that. I also 605 00:33:58,720 --> 00:34:02,400 Speaker 1: like anytime you have a bio pic where they don't 606 00:34:02,640 --> 00:34:07,719 Speaker 1: make the subject always super freaking cool, and he was not. 607 00:34:07,920 --> 00:34:09,640 Speaker 1: It'd be very easy to come away from that movie 608 00:34:09,640 --> 00:34:14,000 Speaker 1: thinking he's Dylan's an a hole be very easy to 609 00:34:14,000 --> 00:34:18,279 Speaker 1: come away with that, yeh and they and they also, uh, 610 00:34:18,360 --> 00:34:20,680 Speaker 1: I think there's an advantage to just picking a couple 611 00:34:20,800 --> 00:34:23,480 Speaker 1: year segment of somebody's life and portraying it as opposed 612 00:34:23,520 --> 00:34:25,239 Speaker 1: to try to do their whole damned life. In doing 613 00:34:25,280 --> 00:34:28,760 Speaker 1: a half hours, you got to skip so much stuff, 614 00:34:28,760 --> 00:34:31,480 Speaker 1: and they just skip. Really him showing up in New 615 00:34:31,560 --> 00:34:33,880 Speaker 1: York to win. It goes electric in sixty five, It 616 00:34:34,000 --> 00:34:37,919 Speaker 1: ends in sixty five, so and that was long before 617 00:34:37,920 --> 00:34:40,279 Speaker 1: a lot of other stuff happened. Here's one interesting thing 618 00:34:40,320 --> 00:34:42,200 Speaker 1: I thought though in his portrayal of Dylan is a 619 00:34:42,239 --> 00:34:45,759 Speaker 1: guy who's watched a gazillion interviews with Dylan from back 620 00:34:45,760 --> 00:34:48,799 Speaker 1: in the day. He's got it so nailed it's incredible. 621 00:34:49,000 --> 00:34:51,840 Speaker 1: But the one detail that I thought it was funny 622 00:34:51,880 --> 00:34:54,279 Speaker 1: that they picked up on, and it's always bothered me 623 00:34:55,040 --> 00:35:00,960 Speaker 1: Dylan's long, dirty fingernails. It's always grossed me out. Anytime 624 00:35:01,000 --> 00:35:04,000 Speaker 1: you see Dylan being interviewed and he like smokes a cigarette, 625 00:35:04,040 --> 00:35:07,200 Speaker 1: which he does constantly, it's like, dude, do you ever 626 00:35:07,520 --> 00:35:12,600 Speaker 1: wash your hands? Gross his long dirty like you can 627 00:35:12,680 --> 00:35:15,880 Speaker 1: see the black dirt under his fingernails. And timothey shallowy 628 00:35:15,920 --> 00:35:18,200 Speaker 1: has long, dirty fingernails. The whole movie in which I 629 00:35:18,200 --> 00:35:23,160 Speaker 1: thought interesting little detail is it? Yeah, it really is. 630 00:35:23,920 --> 00:35:26,320 Speaker 1: And again I mentioned last week i'd write a review. 631 00:35:26,360 --> 00:35:28,360 Speaker 1: I don't know if I'd have picked up on this otherwise, 632 00:35:28,760 --> 00:35:33,600 Speaker 1: but the idea that a young famous guy didn't go 633 00:35:33,719 --> 00:35:36,799 Speaker 1: along with the socialists with what they wanted him to 634 00:35:36,840 --> 00:35:40,720 Speaker 1: do is awesome. Ed Norton. Pete Seeger, the banjo player, 635 00:35:40,920 --> 00:35:43,440 Speaker 1: gives a speech about you know, we've got a teeter 636 00:35:43,480 --> 00:35:45,640 Speaker 1: totter and it's all waited on one side, and we're 637 00:35:45,640 --> 00:35:48,840 Speaker 1: trying to wait it so it's more balanced across the country, 638 00:35:48,880 --> 00:35:50,960 Speaker 1: and you're helping us balance out that teeter totter. And 639 00:35:51,000 --> 00:35:53,520 Speaker 1: Dylan's like, no, I'm not. I don't care about the 640 00:35:53,520 --> 00:35:57,239 Speaker 1: teeter daughter of social justice and everything. And at the 641 00:35:57,320 --> 00:35:59,160 Speaker 1: end of the movie they say Pete Seeger goes on 642 00:35:59,239 --> 00:36:01,880 Speaker 1: to live a life of fighting for social justice and 643 00:36:02,000 --> 00:36:04,880 Speaker 1: Joan Biaz goes on to donate to and I don't 644 00:36:05,080 --> 00:36:08,319 Speaker 1: know what their point was, if, like Dylan let down 645 00:36:08,360 --> 00:36:11,440 Speaker 1: the social justice world or what, but he didn't care. 646 00:36:11,480 --> 00:36:15,880 Speaker 1: I guarantee you that no. Yeah, well, okay, interesting, but 647 00:36:15,920 --> 00:36:18,440 Speaker 1: if you're Dylan fan, it's not going to creep you out. Okay, 648 00:36:18,520 --> 00:36:19,520 Speaker 1: I'm excited. 649 00:36:19,520 --> 00:36:21,880 Speaker 4: Now I'm gonna have to seek that out or probably 650 00:36:21,920 --> 00:36:22,960 Speaker 4: wait till it's on cable. 651 00:36:23,040 --> 00:36:25,480 Speaker 1: My brother's seen it twice. He liked it so much 652 00:36:25,520 --> 00:36:27,120 Speaker 1: and he's a big dealing oh wow. If you miss 653 00:36:27,160 --> 00:36:29,759 Speaker 1: a segment, get the podcast, you should subscribe Armstrong and 654 00:36:29,760 --> 00:36:37,280 Speaker 1: Getty on demand Armstrong and Getty