1 00:00:01,840 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:11,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty Armstrong. 3 00:00:10,800 --> 00:00:17,640 Speaker 2: And Jetty and He Armstrong and Yetty. 4 00:00:24,040 --> 00:00:26,639 Speaker 3: The Great Escape a dog named Dawson slipping out of 5 00:00:26,640 --> 00:00:30,000 Speaker 3: his locked kennel at Huntington Cavel Wayne Animal Shelter in 6 00:00:30,040 --> 00:00:32,840 Speaker 3: West Virginia, then using his teeth to unlock the front 7 00:00:32,840 --> 00:00:35,480 Speaker 3: door of the shelter. They have found Dawson. They're hoping 8 00:00:35,520 --> 00:00:38,520 Speaker 3: someone will now adopt him. You'll just need good locks 9 00:00:38,520 --> 00:00:39,200 Speaker 3: for your doors. 10 00:00:40,400 --> 00:00:42,840 Speaker 1: So he slipped out of a locked kennel, then used 11 00:00:42,840 --> 00:00:45,960 Speaker 1: his teeth to unlock the front door of the shelter. 12 00:00:46,240 --> 00:00:48,440 Speaker 1: I'm not going to adopt him. I hope he adopts me. 13 00:00:48,760 --> 00:00:51,599 Speaker 1: I'll bet he had help from some bitch on the inside. 14 00:00:53,479 --> 00:00:57,000 Speaker 2: Good dog, good boy. Wow, that's a clever dog. 15 00:00:57,080 --> 00:00:59,480 Speaker 1: Ever since my son pointed it out now I can't 16 00:00:59,720 --> 00:01:02,720 Speaker 1: not here the fact that David Muir uses the same 17 00:01:02,880 --> 00:01:06,240 Speaker 1: tone of voice for the second Building Just Fell on 18 00:01:06,319 --> 00:01:08,880 Speaker 1: nine to eleven as he does for a dog escaped 19 00:01:08,920 --> 00:01:11,679 Speaker 1: from its kennel, or there's a New Girl, Scout Cookie. 20 00:01:11,800 --> 00:01:13,760 Speaker 1: He has the same tone of voice for every story 21 00:01:14,400 --> 00:01:17,720 Speaker 1: right as his fire jacket is carefully clipped to reveal 22 00:01:17,800 --> 00:01:20,920 Speaker 1: his buff body from under that picture. We are going 23 00:01:21,000 --> 00:01:24,160 Speaker 1: to get back into how America is tearing itself apart 24 00:01:24,240 --> 00:01:27,760 Speaker 1: again over yet another shooting that everybody sees the way 25 00:01:27,920 --> 00:01:32,920 Speaker 1: they would have seen it politically, even without knowing the details, 26 00:01:33,080 --> 00:01:38,080 Speaker 1: which is interesting. We've been touching on the legalities, the ethics, 27 00:01:38,240 --> 00:01:41,080 Speaker 1: the leftist movement that brought us to this movement, and 28 00:01:41,120 --> 00:01:43,320 Speaker 1: all sorts of aspects of this throughout the show, and 29 00:01:43,360 --> 00:01:46,440 Speaker 1: we'll continue to I came across this and I love 30 00:01:46,440 --> 00:01:52,640 Speaker 1: it because it strikes me is intuitively correct. AI is 31 00:01:52,720 --> 00:01:55,280 Speaker 1: freeing a lot of people in the business world up 32 00:01:55,360 --> 00:01:59,400 Speaker 1: from the mundane sort of activities that used to occupy 33 00:01:59,400 --> 00:02:02,560 Speaker 1: at least chunk of their day, sorting and summarizing emails, 34 00:02:02,640 --> 00:02:06,960 Speaker 1: taking meeting notes, filing expense reports, and AI promises to 35 00:02:07,000 --> 00:02:08,960 Speaker 1: free us to concentrate on the important. 36 00:02:08,560 --> 00:02:09,840 Speaker 2: Stuff, which sounds great. 37 00:02:10,639 --> 00:02:13,360 Speaker 1: But the catch, according to business leaders and scientists who 38 00:02:13,400 --> 00:02:15,840 Speaker 1: have been studying this, is that our brains aren't capable 39 00:02:15,880 --> 00:02:19,200 Speaker 1: of thinking the big thoughts non stop, and we risk 40 00:02:19,360 --> 00:02:23,440 Speaker 1: forfeiting the epiphanies that sometimes spring to mind when you're 41 00:02:23,480 --> 00:02:29,400 Speaker 1: doing the repetitive dull stuff, and they go through several 42 00:02:30,280 --> 00:02:35,240 Speaker 1: CEOs who've realized this, and after a meeting, for instance, 43 00:02:35,360 --> 00:02:37,200 Speaker 1: this one guy takes a few minutes to digest the 44 00:02:37,280 --> 00:02:39,360 Speaker 1: key points, reflect on what he said, make a couple 45 00:02:39,360 --> 00:02:41,760 Speaker 1: of notes, and just sit there and think about it. 46 00:02:43,960 --> 00:02:46,800 Speaker 2: Because we were not designed well, it's like I'm. 47 00:02:46,680 --> 00:02:49,880 Speaker 1: Always saying about social media and a supercomputer and TV 48 00:02:49,919 --> 00:02:52,400 Speaker 1: in our hands. We're not designed to take never ending 49 00:02:52,400 --> 00:02:55,760 Speaker 1: input and we're not designed to constantly be dealing with 50 00:02:55,800 --> 00:03:00,480 Speaker 1: the big stuff, rhythms, waves, a lot. 51 00:03:00,320 --> 00:03:01,600 Speaker 2: Of drudgery sort of things. 52 00:03:01,760 --> 00:03:03,679 Speaker 1: I just thinking when you said expense report, I got 53 00:03:03,680 --> 00:03:05,800 Speaker 1: like this thing I got to keep track of for 54 00:03:06,760 --> 00:03:10,000 Speaker 1: boring reasons, but got there was AI that could pull 55 00:03:10,040 --> 00:03:12,240 Speaker 1: all that together and do it for me every month. 56 00:03:12,360 --> 00:03:16,119 Speaker 1: Oh I would freaking pay a lot for that. Yeah, drudgery, 57 00:03:16,320 --> 00:03:18,560 Speaker 1: just stupid crap like that where I think, why am 58 00:03:18,600 --> 00:03:19,480 Speaker 1: I doing this? 59 00:03:19,760 --> 00:03:19,919 Speaker 2: Oh? 60 00:03:20,000 --> 00:03:23,080 Speaker 1: Yeah, there's a sweet spot, no doubt, Absolutely no doubt. 61 00:03:23,440 --> 00:03:25,840 Speaker 1: Speaking of AI, that was one of several topics we 62 00:03:25,919 --> 00:03:29,480 Speaker 1: discussed with Ian Bremer of the Erasure Group. Their Famous 63 00:03:29,960 --> 00:03:34,359 Speaker 1: Top Risks of the Year are out for twenty twenty six, 64 00:03:34,560 --> 00:03:37,720 Speaker 1: and it's available as an armstrong and Getty extra Large 65 00:03:37,760 --> 00:03:41,160 Speaker 1: podcast wherever you like to download podcasts, or at Armstrong 66 00:03:41,240 --> 00:03:43,000 Speaker 1: and Getty dot com. 67 00:03:43,600 --> 00:03:45,440 Speaker 2: But here's a little chunk of what we talked to 68 00:03:45,480 --> 00:03:46,080 Speaker 2: Ian about. 69 00:03:46,520 --> 00:03:49,840 Speaker 1: We are super into AI stuff around here. So my 70 00:03:49,920 --> 00:03:53,600 Speaker 1: first question off the bat about risk eight AI eats 71 00:03:53,680 --> 00:03:56,960 Speaker 1: its users. I was just reading Bloomberg's prediction that companies 72 00:03:57,120 --> 00:03:59,240 Speaker 1: mostly are still going to be all in on AI. 73 00:03:59,400 --> 00:04:01,280 Speaker 2: How do you feel it's going to play out this year. 74 00:04:01,880 --> 00:04:04,040 Speaker 4: I believe they will be all in on AI, but 75 00:04:04,080 --> 00:04:06,680 Speaker 4: there's going to be a lot more pressure to commercialize it, 76 00:04:06,760 --> 00:04:09,720 Speaker 4: to make money, to provide returns to all these shareholders 77 00:04:09,760 --> 00:04:12,520 Speaker 4: with enormous amounts of money they're being spent on these 78 00:04:12,600 --> 00:04:15,640 Speaker 4: large language models only getting more complex with more data, 79 00:04:15,680 --> 00:04:19,840 Speaker 4: more chips requirements, more energy requirements. And I think that's 80 00:04:19,880 --> 00:04:22,160 Speaker 4: fine for a lot of companies that are doing business 81 00:04:22,160 --> 00:04:25,880 Speaker 4: to business, that are doing industrial purposes, defense purposes. But 82 00:04:25,920 --> 00:04:30,960 Speaker 4: for the companies that are selling AI to consumers, they're 83 00:04:31,000 --> 00:04:34,960 Speaker 4: going to need to make profit any way they can, 84 00:04:35,040 --> 00:04:38,960 Speaker 4: and that means testing these things real time on society, 85 00:04:39,040 --> 00:04:42,080 Speaker 4: on us, on our kids, and I think that's actually 86 00:04:42,160 --> 00:04:46,160 Speaker 4: quite a dangerous risk for our political system and for 87 00:04:46,200 --> 00:04:48,279 Speaker 4: our mental well being well. 88 00:04:48,320 --> 00:04:50,320 Speaker 1: I notice we talked about this right before the end 89 00:04:50,360 --> 00:04:53,039 Speaker 1: of the year, open a Altman announcing that they're going 90 00:04:53,080 --> 00:04:55,320 Speaker 1: to like focus on the chat GPT, the thing that 91 00:04:55,360 --> 00:04:58,520 Speaker 1: people kind of like and not so much to get 92 00:04:58,560 --> 00:05:01,760 Speaker 1: into you know, official general intelligence as much. 93 00:05:01,800 --> 00:05:03,000 Speaker 2: So that's what you're talking about. 94 00:05:04,200 --> 00:05:07,320 Speaker 4: It is, and you know, we all know that social media, 95 00:05:07,560 --> 00:05:10,239 Speaker 4: when they decided that they need to start making a profit, 96 00:05:10,760 --> 00:05:15,120 Speaker 4: it became a much less community oriented, much more addiction 97 00:05:15,279 --> 00:05:18,279 Speaker 4: and engagement oriented. Well, AI is a hell of a 98 00:05:18,279 --> 00:05:22,760 Speaker 4: lot more capable at programming us, at changing our behavior, 99 00:05:22,839 --> 00:05:26,520 Speaker 4: making us believe that we're talking to people when actually 100 00:05:26,600 --> 00:05:30,400 Speaker 4: we're talking to things that have no affect and are 101 00:05:30,560 --> 00:05:34,080 Speaker 4: just trying to get the outcomes they want it wants. 102 00:05:33,839 --> 00:05:34,360 Speaker 2: Out of us. 103 00:05:34,600 --> 00:05:37,440 Speaker 4: There are people like that in society. We call them sociopaths. 104 00:05:37,640 --> 00:05:41,640 Speaker 4: We don't want to be around them, right, And yet 105 00:05:42,160 --> 00:05:45,080 Speaker 4: when it comes to AI, we're like, hey, go for it, 106 00:05:45,160 --> 00:05:47,880 Speaker 4: train it on us, And that just seems like it 107 00:05:47,960 --> 00:05:50,799 Speaker 4: is not destined to go well, especially because the race 108 00:05:51,080 --> 00:05:55,680 Speaker 4: is so well funded, it's so fast, and it's not 109 00:05:56,120 --> 00:05:58,640 Speaker 4: effectively regulated at all, because we all just want to win, 110 00:05:58,720 --> 00:06:00,520 Speaker 4: We just want to We think it's so amazing. We 111 00:06:00,560 --> 00:06:03,279 Speaker 4: want this to go faster and faster. And I do 112 00:06:03,360 --> 00:06:06,120 Speaker 4: get the fact that, you know, whenever we talk about 113 00:06:06,160 --> 00:06:09,200 Speaker 4: government involvement, we also talk about red tape, and we 114 00:06:09,240 --> 00:06:11,760 Speaker 4: talk about entrepreneurs not being able to do the things 115 00:06:11,800 --> 00:06:15,920 Speaker 4: they're great at. But here we are talking about public 116 00:06:15,960 --> 00:06:19,200 Speaker 4: safety and we should care. We care about that with vaccines, 117 00:06:19,279 --> 00:06:21,680 Speaker 4: we test those first. We care about it with GMO foods. 118 00:06:22,040 --> 00:06:25,560 Speaker 4: But somehow when it involves like actually programming our minds, 119 00:06:25,600 --> 00:06:26,640 Speaker 4: it no longer matters. 120 00:06:27,240 --> 00:06:27,440 Speaker 2: Wow. 121 00:06:27,640 --> 00:06:29,320 Speaker 1: I'm glad to hear you say that. We're big fans 122 00:06:29,320 --> 00:06:32,200 Speaker 1: of Peter Bergosi around here, who's written extensively about the 123 00:06:32,240 --> 00:06:36,680 Speaker 1: effects of technology and social media on kids especially, And 124 00:06:38,080 --> 00:06:41,719 Speaker 1: I just think giving super powers to the sort of 125 00:06:41,760 --> 00:06:47,560 Speaker 1: technology we've already decided is absolutely pathological, especially for youngsters, 126 00:06:47,839 --> 00:06:50,360 Speaker 1: seems incredibly dangerous. But there it is on your list 127 00:06:50,400 --> 00:06:51,560 Speaker 1: of you know, risks. 128 00:06:52,400 --> 00:06:54,599 Speaker 4: Yeah, and it's also showing up in risk number two 129 00:06:54,800 --> 00:06:56,920 Speaker 4: in a very different way that good I was just 130 00:06:56,960 --> 00:06:59,520 Speaker 4: about to ask about that, Yeah, I hit it. Yeah, Well, 131 00:06:59,520 --> 00:07:03,159 Speaker 4: because because here you've got the Americans doubling down on 132 00:07:03,279 --> 00:07:05,679 Speaker 4: being the strongest petro state in the world. Thirteen point 133 00:07:05,680 --> 00:07:10,080 Speaker 4: five million barrels a day of oil production plus Venezuela, 134 00:07:10,120 --> 00:07:13,120 Speaker 4: and that the largest oil reserves proven in the world, 135 00:07:13,680 --> 00:07:15,600 Speaker 4: all of which is great for American. 136 00:07:15,240 --> 00:07:17,320 Speaker 2: Power in the United States. 137 00:07:17,080 --> 00:07:23,000 Speaker 4: Is refusing to keep investing in solar and wind and 138 00:07:23,200 --> 00:07:25,880 Speaker 4: batteries and all the things that are getting much cheaper 139 00:07:25,880 --> 00:07:30,040 Speaker 4: in terms of energy because those are woke climate energies. Well, 140 00:07:30,200 --> 00:07:33,720 Speaker 4: the Chinese aren't particularly woke, but they do know that 141 00:07:33,760 --> 00:07:35,800 Speaker 4: they need as much energy as possible, and they are 142 00:07:35,840 --> 00:07:39,600 Speaker 4: investing massively in the electric stack, and they're becoming an 143 00:07:40,120 --> 00:07:42,720 Speaker 4: electro state while we're a petro state. The only problem 144 00:07:42,800 --> 00:07:45,480 Speaker 4: is the electro state is becoming a lot cheaper at 145 00:07:45,520 --> 00:07:50,000 Speaker 4: producing electricity every year. So we're going out there selling 146 00:07:50,000 --> 00:07:55,440 Speaker 4: twentieth century oil, gas and coal to countries and they're 147 00:07:55,440 --> 00:07:59,320 Speaker 4: going out there selling twenty first century energy infrastructure to countries. 148 00:07:59,560 --> 00:08:02,160 Speaker 4: And who's going to be better at powering the AI 149 00:08:02,600 --> 00:08:04,880 Speaker 4: Who's going to be better at feeding their people? And 150 00:08:04,920 --> 00:08:07,120 Speaker 4: the answer is to Chinese. That's not a position the 151 00:08:07,160 --> 00:08:07,920 Speaker 4: Americans should be it. 152 00:08:08,680 --> 00:08:11,520 Speaker 1: So that's from our interview with Ian Bremmer about the 153 00:08:11,560 --> 00:08:14,280 Speaker 1: global risks, and you can find that in Armstrong and 154 00:08:14,320 --> 00:08:16,240 Speaker 1: Getty Extra Large podcast. If you want to hear the 155 00:08:16,240 --> 00:08:18,480 Speaker 1: whole thing. I thought it was pretty darn interesting what 156 00:08:18,640 --> 00:08:23,920 Speaker 1: China is doing in terms of becoming the leader in 157 00:08:23,960 --> 00:08:28,680 Speaker 1: the world by far of producing electricity. Is something the 158 00:08:28,720 --> 00:08:32,360 Speaker 1: stack Jack, the stack he was talking about. Yeah, China 159 00:08:32,440 --> 00:08:35,440 Speaker 1: just cut off Japan's access to rare earth minerals as 160 00:08:35,480 --> 00:08:40,200 Speaker 1: a punishment for their resisting the commie takeover of Asia. 161 00:08:40,640 --> 00:08:46,040 Speaker 1: It's so utterly, just incredibly clear that we need to 162 00:08:46,080 --> 00:08:48,760 Speaker 1: look at every single way we're dependent on the Chinese 163 00:08:48,760 --> 00:08:53,840 Speaker 1: and end that. Yeah, and Ian presenting it as electricity 164 00:08:53,960 --> 00:08:59,240 Speaker 1: versus fossil fuels, that's both. Yeah, I just I mean, 165 00:08:59,280 --> 00:09:02,640 Speaker 1: I did have the thought when when it became clear 166 00:09:02,640 --> 00:09:05,520 Speaker 1: over the weekend when Trump kept talking about oil with Venezuela, 167 00:09:05,559 --> 00:09:07,760 Speaker 1: that oh, okay, this really matters to you a lot, 168 00:09:07,800 --> 00:09:10,960 Speaker 1: the oil thing, the ventanyl thing. You haven't mentioned that 169 00:09:11,040 --> 00:09:13,040 Speaker 1: since now it's all about the oil and all the 170 00:09:13,080 --> 00:09:14,439 Speaker 1: things we're gonna do and everything like that. 171 00:09:14,600 --> 00:09:16,440 Speaker 2: So was that the whole driving force? Maybe? 172 00:09:16,600 --> 00:09:19,000 Speaker 1: But I was thinking, this is really a great move. 173 00:09:19,080 --> 00:09:22,640 Speaker 1: If it's nineteen seventy eight, is really awesome that we're 174 00:09:22,640 --> 00:09:25,120 Speaker 1: going to become the dominant player with oil around the world. 175 00:09:25,320 --> 00:09:27,920 Speaker 2: Is it is important Now. I don't know. Oil still 176 00:09:28,320 --> 00:09:29,920 Speaker 2: really a big deal, no doubt about it. 177 00:09:31,720 --> 00:09:34,120 Speaker 1: Yeahs you know, Venezuela is about a lot more than that. 178 00:09:35,200 --> 00:09:39,040 Speaker 1: But yeah, that's that's an interesting question. If they had 179 00:09:39,200 --> 00:09:44,320 Speaker 1: zero oil, I would still be extremely concerned about being 180 00:09:44,679 --> 00:09:48,480 Speaker 1: a warm, welcoming port China. And you know, my point 181 00:09:48,640 --> 00:09:54,080 Speaker 1: is Trump often is stuck in the past of what's important. 182 00:09:54,120 --> 00:09:56,319 Speaker 1: It's like, why you care so much about Time magazine 183 00:09:56,880 --> 00:10:00,440 Speaker 1: or you know, all that sort of stuff, right because 184 00:10:00,480 --> 00:10:02,560 Speaker 1: he just he's obel piece. He's living what it was 185 00:10:02,640 --> 00:10:04,160 Speaker 1: many years ago. And I just wonder if he was 186 00:10:04,200 --> 00:10:06,880 Speaker 1: thinking oil is the you know, you control the planet 187 00:10:06,880 --> 00:10:09,959 Speaker 1: if you control the oil. If AI becomes the main 188 00:10:10,200 --> 00:10:13,200 Speaker 1: thing in the world, is having electricity, like China's building 189 00:10:13,480 --> 00:10:15,080 Speaker 1: going to be that huge. 190 00:10:15,520 --> 00:10:18,360 Speaker 2: We're behind. We are absolutely behind in a lot of ways. 191 00:10:18,360 --> 00:10:21,760 Speaker 1: Our electric grid, our battery capacities, our technology are access 192 00:10:21,800 --> 00:10:24,240 Speaker 1: to the rarests that were minerals that we're talking about. 193 00:10:24,760 --> 00:10:27,079 Speaker 1: It's got to be dealt with. Yeah, that's an interesting question. 194 00:10:27,120 --> 00:10:29,360 Speaker 1: I don't know, because Trump is definitely stuck in the 195 00:10:29,360 --> 00:10:32,480 Speaker 1: past sometime to why Zuckerberg and Elon are building their 196 00:10:32,480 --> 00:10:35,120 Speaker 1: own giant electric plants to be able to power their 197 00:10:35,160 --> 00:10:37,280 Speaker 1: own AI because it is not going to be enough 198 00:10:37,320 --> 00:10:40,360 Speaker 1: from the county or the state wherever they are. Well, 199 00:10:40,400 --> 00:10:43,240 Speaker 1: I saw the other day that was it fifty four percent? 200 00:10:43,440 --> 00:10:46,559 Speaker 1: It was not much of a majority, but a majority 201 00:10:46,679 --> 00:10:50,960 Speaker 1: of Democrats are in favor of nuclear power at this point. 202 00:10:51,440 --> 00:10:55,200 Speaker 1: Good now, that is good. That would be fantastic. Welcome back? 203 00:10:55,200 --> 00:10:57,600 Speaker 1: Did Jackson Brown tell you it's okay? Now? 204 00:10:58,040 --> 00:10:59,600 Speaker 2: Left the friends? Good lord? 205 00:10:59,640 --> 00:11:02,760 Speaker 1: And then if fusion ever gets going, that'd be huge. 206 00:11:03,040 --> 00:11:03,520 Speaker 2: I am. 207 00:11:04,400 --> 00:11:06,560 Speaker 1: I'm wearing shoes that are way too big for me today, 208 00:11:07,080 --> 00:11:08,600 Speaker 1: so I'm having trouble adjusting. 209 00:11:08,880 --> 00:11:12,720 Speaker 2: Wait, no, no, no, how did that happen? Why didn't 210 00:11:12,760 --> 00:11:14,560 Speaker 2: you steal them a pup of a hoe bow or 211 00:11:14,640 --> 00:11:17,520 Speaker 2: what did you find them? 212 00:11:17,920 --> 00:11:19,920 Speaker 1: Saga passed out in the bushes. I thought, man, he's 213 00:11:19,920 --> 00:11:21,400 Speaker 1: a lot taller than me. But those are some good 214 00:11:21,440 --> 00:11:27,240 Speaker 1: looking shoes. Yeah, is this particular kind of shoe that 215 00:11:27,320 --> 00:11:30,400 Speaker 1: I wanted? It's very expensive. I would never, ever, in 216 00:11:30,400 --> 00:11:33,480 Speaker 1: a million years buy them at that price. I found 217 00:11:33,480 --> 00:11:36,920 Speaker 1: them on eBay for a tiny fraction of the price. 218 00:11:37,440 --> 00:11:40,280 Speaker 2: I wouldn't wear those ugly ass shoes, but not in 219 00:11:40,360 --> 00:11:41,040 Speaker 2: my size. 220 00:11:42,360 --> 00:11:47,360 Speaker 1: I wear an eleven and these are twelves and hope boy, and. 221 00:11:47,280 --> 00:11:48,640 Speaker 2: I'm kind of slashing around. 222 00:11:49,200 --> 00:11:51,000 Speaker 1: I really like the way they look, but I am 223 00:11:51,080 --> 00:11:53,480 Speaker 1: kind of slashing around them, even in my thick socks. 224 00:11:53,960 --> 00:11:56,160 Speaker 2: Yes, Katie, no, you am glow. You should have gone 225 00:11:56,160 --> 00:11:57,400 Speaker 2: for a thirteen fourteen. 226 00:11:57,440 --> 00:11:58,880 Speaker 1: Why not since we're just saying. 227 00:11:58,679 --> 00:12:02,200 Speaker 2: Screw our side, we're gonna go full clown. 228 00:12:02,559 --> 00:12:07,600 Speaker 1: Yeah, I umber I've done the opposite before. This is 229 00:12:07,640 --> 00:12:09,679 Speaker 1: more comfortable than I've done the opposite. I find some 230 00:12:09,720 --> 00:12:12,480 Speaker 1: shoes that are too small, but they're the shoe that. 231 00:12:12,480 --> 00:12:14,080 Speaker 2: I want at the price that I want, and that's 232 00:12:14,120 --> 00:12:14,720 Speaker 2: like painful. 233 00:12:15,000 --> 00:12:18,600 Speaker 1: No, gosh, No, big is ill advised. 234 00:12:18,720 --> 00:12:20,400 Speaker 2: Small is a bad decision. 235 00:12:20,400 --> 00:12:21,920 Speaker 1: But if I had to take off running, I would 236 00:12:22,000 --> 00:12:24,040 Speaker 1: step right out of these things. There's no doubt about 237 00:12:24,320 --> 00:12:26,480 Speaker 1: if anything happened, I'm just gonna run out of my shoes. 238 00:12:27,559 --> 00:12:28,439 Speaker 2: Yes, Michael, you. 239 00:12:28,400 --> 00:12:29,880 Speaker 5: Know I found out that I was wearing the wrong 240 00:12:29,920 --> 00:12:31,360 Speaker 5: shoe size for all these years. 241 00:12:31,480 --> 00:12:34,280 Speaker 2: I did that too. Yeah, I didn't know. I did 242 00:12:34,280 --> 00:12:39,240 Speaker 2: that too late in life. I was probably mine. How 243 00:12:39,240 --> 00:12:41,160 Speaker 2: do you not know? Can you not feel them? 244 00:12:41,360 --> 00:12:44,440 Speaker 1: I do try answer for myself than Michael Kennas, Yeah, 245 00:12:44,440 --> 00:12:46,679 Speaker 1: I do try them on and everything like that. But 246 00:12:46,760 --> 00:12:49,880 Speaker 1: I had been wearing too small a shoe size for 247 00:12:50,040 --> 00:12:50,720 Speaker 1: my whole life. 248 00:12:51,080 --> 00:12:53,800 Speaker 2: Yeah, it just felt normal to me. Me too, Yeah, 249 00:12:53,880 --> 00:12:58,160 Speaker 2: me too. Being squos Katie and I are both completely 250 00:12:58,240 --> 00:12:59,760 Speaker 2: mystified by this. 251 00:13:00,120 --> 00:13:03,280 Speaker 1: Try the one size, you think this is uncomfortable, I'll 252 00:13:03,280 --> 00:13:05,840 Speaker 1: try the slightly bigger ones. You think these are more 253 00:13:05,880 --> 00:13:10,120 Speaker 1: comfortable than you buy those? Right, That's how I've always 254 00:13:10,200 --> 00:13:13,560 Speaker 1: understood it to work well, At least my case, I was. 255 00:13:13,679 --> 00:13:16,320 Speaker 1: I needed to go half size bigger than what I 256 00:13:16,360 --> 00:13:19,800 Speaker 1: thought felt comfortable to be the correct size. And it's 257 00:13:19,840 --> 00:13:22,320 Speaker 1: about where your the ball of your foot lands versus 258 00:13:22,320 --> 00:13:23,959 Speaker 1: the length of your foot and all kinds of different 259 00:13:23,960 --> 00:13:26,640 Speaker 1: stuff that matters. I finally found out when I talked 260 00:13:26,679 --> 00:13:29,080 Speaker 1: to a foot expert or a pediatrist or something. 261 00:13:29,080 --> 00:13:29,480 Speaker 6: I don't know. 262 00:13:29,920 --> 00:13:32,160 Speaker 1: Did you ever try like a ten and a half, 263 00:13:32,200 --> 00:13:34,040 Speaker 1: an eleven and an eleven and a half and just 264 00:13:34,080 --> 00:13:35,199 Speaker 1: say these feel better? 265 00:13:37,440 --> 00:13:41,960 Speaker 2: Or again or just mystified? I don't know. The shoes 266 00:13:42,000 --> 00:13:43,760 Speaker 2: I'm wearing today are plenty big. I'll tell you that. 267 00:13:43,800 --> 00:13:43,920 Speaker 1: Well. 268 00:13:43,960 --> 00:13:46,200 Speaker 2: I'm learning you sacrifice comfort for fashions. 269 00:13:46,280 --> 00:13:53,319 Speaker 1: Yes, absolutely, I'm an eleven like my pappy before me, even. 270 00:13:55,480 --> 00:13:56,120 Speaker 2: No matter what. 271 00:13:58,760 --> 00:14:04,439 Speaker 1: Uh. The heated rhetoric continues around the shooting in Minneapolis, 272 00:14:04,480 --> 00:14:06,960 Speaker 1: and that ain't good. We'll get to that story among 273 00:14:07,000 --> 00:14:07,880 Speaker 1: other things coming up. 274 00:14:07,920 --> 00:14:15,880 Speaker 2: Stay here. My hope is that we only release these earlier. 275 00:14:15,960 --> 00:14:26,480 Speaker 2: Today's earlier, I'm sorry. 276 00:14:22,120 --> 00:14:23,200 Speaker 1: Is also high in protein. 277 00:14:23,320 --> 00:14:24,120 Speaker 5: That's interesting. 278 00:14:25,840 --> 00:14:26,640 Speaker 2: Tuk is a good thing. 279 00:14:29,000 --> 00:14:33,840 Speaker 1: That junior yesterday announcing the new FDA food guidelines and 280 00:14:33,880 --> 00:14:35,840 Speaker 1: his phone went off and it's a duck quacking, which 281 00:14:35,880 --> 00:14:39,720 Speaker 1: made everybody laugh. Quack quack whose ring tone is a 282 00:14:39,800 --> 00:14:45,840 Speaker 1: duck quack? It was doctor Oz calling, huh, hey, now hey, 283 00:14:47,480 --> 00:14:50,120 Speaker 1: we got a text follow up to our Ian Bremmer conversation. 284 00:14:50,240 --> 00:14:51,280 Speaker 2: Thing that's worth mentioning. 285 00:14:51,840 --> 00:14:55,720 Speaker 1: Uh Ian hates Trump, this person says, which is true, 286 00:14:56,680 --> 00:14:59,480 Speaker 1: and didn't mention that China is still building coal power 287 00:14:59,520 --> 00:15:00,880 Speaker 1: plants as fast as they can. 288 00:15:01,200 --> 00:15:02,920 Speaker 2: That is true. That is true. 289 00:15:02,920 --> 00:15:05,160 Speaker 1: So they are building electricity, but it's not like they've 290 00:15:05,200 --> 00:15:07,480 Speaker 1: given up on fossil fuel and think it's some of 291 00:15:07,520 --> 00:15:10,600 Speaker 1: the past. They're building coal plants as fast as they can. Yeah. 292 00:15:10,600 --> 00:15:11,920 Speaker 1: I don't want to spend a lot of time on this, 293 00:15:12,000 --> 00:15:13,800 Speaker 1: but we tried to cover so many topics and just 294 00:15:13,800 --> 00:15:15,800 Speaker 1: get his point of view. We could have argued about 295 00:15:15,840 --> 00:15:17,720 Speaker 1: all sorts of stuff and gotten bogged down. It would 296 00:15:17,720 --> 00:15:19,880 Speaker 1: have been a four hour discussion, which some people do 297 00:15:20,000 --> 00:15:22,160 Speaker 1: via podcast, which is fine, but we just thought I 298 00:15:22,280 --> 00:15:24,560 Speaker 1: let him speak his piece, then we can follow up later. Anyway, 299 00:15:25,040 --> 00:15:26,880 Speaker 1: I wanted to get to this real quickly. Coming up 300 00:15:27,560 --> 00:15:33,120 Speaker 1: Zorumumdanni's Marxist cabinet there in New York is hilarious. Jacket 301 00:15:33,120 --> 00:15:37,240 Speaker 1: is precisely what you were describing yesterday, these upper class 302 00:15:37,400 --> 00:15:42,960 Speaker 1: twit over educated rich kids who go Marxist. It is again, 303 00:15:43,040 --> 00:15:47,360 Speaker 1: it's almost comedic who he has advising him. A secondly, 304 00:15:48,040 --> 00:15:50,680 Speaker 1: back to the Minnesota shooting and what that has to 305 00:15:50,720 --> 00:15:54,320 Speaker 1: do with Marxism and the rush to judgment and overheated 306 00:15:54,400 --> 00:15:55,920 Speaker 1: rhetoric and the rest of it. So I stay with 307 00:15:56,000 --> 00:15:57,840 Speaker 1: us if you can. I wanted to touch on this 308 00:15:57,880 --> 00:16:02,720 Speaker 1: though real quickly. Marcoo tweeted this the other day that 309 00:16:02,800 --> 00:16:07,320 Speaker 1: the United States has pulled out of sixty six international 310 00:16:07,360 --> 00:16:11,480 Speaker 1: groups and agencies, including thirty one linked to the UN, 311 00:16:11,600 --> 00:16:14,680 Speaker 1: calling them contrary to the interests of the United States. 312 00:16:15,160 --> 00:16:20,360 Speaker 1: Sixty six international things we were part of that are 313 00:16:20,400 --> 00:16:24,800 Speaker 1: either useless, a lot of them hate us, a lot 314 00:16:24,840 --> 00:16:25,160 Speaker 1: of them. 315 00:16:25,400 --> 00:16:28,080 Speaker 2: Why were we at them ever right. 316 00:16:28,560 --> 00:16:32,760 Speaker 1: Intergovernmental Panel on Climate Change, the International Institute for Democracy 317 00:16:32,800 --> 00:16:36,360 Speaker 1: and Electoral Assistants, the International Union for the Conservation of Nature. 318 00:16:36,400 --> 00:16:39,080 Speaker 1: They all have lovely names, but he said they're either 319 00:16:39,120 --> 00:16:42,360 Speaker 1: anti American, useless, or wasteful, adding that the government was 320 00:16:42,400 --> 00:16:46,200 Speaker 1: conducting a review of additional international groups. These withdrawals keep 321 00:16:46,200 --> 00:16:48,520 Speaker 1: a key promise President Trump made to Americans, we will 322 00:16:48,560 --> 00:16:52,520 Speaker 1: stop subsidizing globalist bureaucrats who act against our interests. The 323 00:16:52,560 --> 00:16:54,840 Speaker 1: other side to a praise what you're spending your time 324 00:16:54,840 --> 00:16:56,480 Speaker 1: and money on every so lot. The other side of 325 00:16:56,520 --> 00:16:59,640 Speaker 1: that argument is always, well, if you're in those organizations, 326 00:16:59,680 --> 00:17:02,320 Speaker 1: you can try to have an influence on them. 327 00:17:02,320 --> 00:17:03,120 Speaker 2: That's the argument. 328 00:17:03,160 --> 00:17:04,720 Speaker 1: Do you pull out of them or do you stay 329 00:17:04,720 --> 00:17:06,520 Speaker 1: in them and try to I'm for pulling out of them. 330 00:17:06,680 --> 00:17:08,680 Speaker 1: Screw you, We're not giving you any money. Good luck 331 00:17:08,680 --> 00:17:11,480 Speaker 1: out there. Question, mister chairman, Are we a superpower that 332 00:17:11,520 --> 00:17:13,040 Speaker 1: can ignore them anytime we want? 333 00:17:13,280 --> 00:17:18,200 Speaker 2: Yes, we're out the shooting. More on that, stay tuned, 334 00:17:20,200 --> 00:17:21,399 Speaker 2: Armstrong and Getty. 335 00:17:22,680 --> 00:17:34,760 Speaker 6: This was so so preventable, so unnecessary, and I don't know, 336 00:17:34,840 --> 00:17:37,399 Speaker 6: I hope maybe we're at their McCarthy moment. Do you 337 00:17:37,440 --> 00:17:40,919 Speaker 6: have no decency. Do you have no decency? We have 338 00:17:41,000 --> 00:17:47,240 Speaker 6: someone dead in their car for no reason whatsoever. 339 00:17:47,720 --> 00:17:50,480 Speaker 1: I think there's some reason. Oh, I think if you 340 00:17:50,840 --> 00:17:53,399 Speaker 1: rewind a little bit, he's right. There was no reason 341 00:17:53,400 --> 00:17:55,639 Speaker 1: to interfere with Ice all day long. Then create the 342 00:17:55,720 --> 00:17:59,400 Speaker 1: Marxist lensky I decision dilemma, where you interfere with cops 343 00:17:59,440 --> 00:18:02,240 Speaker 1: to the point that they retaliate or shoot you, justifiably. 344 00:18:02,320 --> 00:18:05,080 Speaker 1: More on that to come. But Tim Waltz, who is 345 00:18:05,240 --> 00:18:07,879 Speaker 1: one of the worst politicians on the face of the earth, 346 00:18:08,240 --> 00:18:08,720 Speaker 1: went on. 347 00:18:09,280 --> 00:18:11,359 Speaker 7: We have soldiers in training and prepared to be deployed 348 00:18:11,400 --> 00:18:14,679 Speaker 7: if necessary. I remind you, a warning order is a 349 00:18:14,720 --> 00:18:18,200 Speaker 7: head's up for folks. And these National Guard troops are 350 00:18:18,320 --> 00:18:22,480 Speaker 7: our National Guard troops. Their teachers in your community, their 351 00:18:22,560 --> 00:18:28,480 Speaker 7: business owners, their construction professionals. They are Minnesotans. Minnesota will 352 00:18:28,480 --> 00:18:30,480 Speaker 7: not allow our community to be used as a prop 353 00:18:30,520 --> 00:18:31,880 Speaker 7: in a national political fight. 354 00:18:32,400 --> 00:18:33,640 Speaker 2: We will not take de bait. 355 00:18:34,160 --> 00:18:37,919 Speaker 1: So is that our National Guard's gonna fight Trump's Ice 356 00:18:38,160 --> 00:18:42,240 Speaker 1: in the no. I think our beloved producer hands and 357 00:18:42,280 --> 00:18:44,920 Speaker 1: misinterpreted that he was talking to the citizens. Don't don't 358 00:18:44,920 --> 00:18:47,160 Speaker 1: burn down your city and don't fight the National guard, 359 00:18:47,200 --> 00:18:50,640 Speaker 1: they're your neighbors. That was actually a fairly reasonable thing 360 00:18:50,640 --> 00:18:52,879 Speaker 1: to say, and he did call for comm after he 361 00:18:53,000 --> 00:18:56,879 Speaker 1: declared it was a cold blooded murder. Unbelievable. Then you 362 00:18:57,000 --> 00:18:59,960 Speaker 1: got the mayor of Minneapolis, who's an ad a lite, 363 00:19:00,400 --> 00:19:03,240 Speaker 1: he's an emotional child fifty. 364 00:19:03,359 --> 00:19:06,639 Speaker 8: They are already trying to spin this as an action 365 00:19:06,840 --> 00:19:11,760 Speaker 8: of self defense. Having seen the video of myself, I 366 00:19:11,800 --> 00:19:18,000 Speaker 8: want to tell everybody directly that is both. This was 367 00:19:18,560 --> 00:19:24,399 Speaker 8: an agent recklessly using power that resulted in somebody dying. 368 00:19:25,240 --> 00:19:29,000 Speaker 1: Wow, you've seen a video and that's plenty of evidence 369 00:19:29,200 --> 00:19:32,480 Speaker 1: for you to render a verdict. Jeez, you ought to 370 00:19:32,520 --> 00:19:35,800 Speaker 1: be in charge of every single courtroom in the country. 371 00:19:35,840 --> 00:19:36,440 Speaker 2: Are fray? 372 00:19:36,800 --> 00:19:40,240 Speaker 1: Although you can say the same thing of DH Secretary 373 00:19:40,320 --> 00:19:43,440 Speaker 1: Christy Noome and Donald Trump. You've seen as I was 374 00:19:43,480 --> 00:19:45,520 Speaker 1: going to get to that, you've seen a video and 375 00:19:45,560 --> 00:19:48,720 Speaker 1: rendered a verdict. How about none of us render any 376 00:19:49,080 --> 00:19:53,000 Speaker 1: especially people who are in the business of like being 377 00:19:53,280 --> 00:19:57,760 Speaker 1: the whole process there. How about you, for God's sake, 378 00:19:57,800 --> 00:20:01,200 Speaker 1: as a leader, say we're gonna have an investigation slowed down. 379 00:20:01,600 --> 00:20:04,080 Speaker 2: No, but did anybody say that. If anybody said that yesterday, 380 00:20:04,119 --> 00:20:07,120 Speaker 2: I didn't hear them. One more clip from the mayor, Michael. 381 00:20:07,520 --> 00:20:11,520 Speaker 8: There's little I can say again that'll make this situation better. 382 00:20:11,880 --> 00:20:15,200 Speaker 8: But I do have a message for our community, for 383 00:20:15,280 --> 00:20:18,960 Speaker 8: a city, and I have a message for ICE. 384 00:20:20,600 --> 00:20:20,760 Speaker 6: Two. 385 00:20:20,840 --> 00:20:23,640 Speaker 8: Ice get the fuck out of Minneapolis. 386 00:20:25,440 --> 00:20:28,480 Speaker 1: That's an odd thing for a mayor to say to 387 00:20:28,760 --> 00:20:32,520 Speaker 1: federal law enforcement carrying out a lawful mission. 388 00:20:33,160 --> 00:20:35,280 Speaker 2: It really really need to get to the bottom of that. 389 00:20:35,359 --> 00:20:36,120 Speaker 2: It really is. 390 00:20:36,160 --> 00:20:38,360 Speaker 1: There's no such thing as a sanctuary city, but thus 391 00:20:38,359 --> 00:20:41,280 Speaker 1: far the Supreme Court hasn't figured that out. So back 392 00:20:41,280 --> 00:20:45,199 Speaker 1: to Jack's point, Yeah, Christy nom immediately went to this 393 00:20:45,320 --> 00:20:47,960 Speaker 1: sixty three Michael, it. 394 00:20:47,920 --> 00:20:51,280 Speaker 9: Was an act of domestic terrorism. What happened was our 395 00:20:51,440 --> 00:20:54,880 Speaker 9: ice officers were out in enforcement action. They got stuck 396 00:20:54,920 --> 00:20:57,080 Speaker 9: in the snow because of the adverse weather that is 397 00:20:57,080 --> 00:20:59,600 Speaker 9: in Minneapolis. They were attempting to push out their vehicle 398 00:20:59,600 --> 00:21:02,719 Speaker 9: in a attacked them and those surrounding them and attempted 399 00:21:02,760 --> 00:21:05,600 Speaker 9: to run them over and ram them with her vehicle. 400 00:21:08,280 --> 00:21:13,720 Speaker 1: All right, So back to Fray briefly, because I just 401 00:21:13,800 --> 00:21:17,119 Speaker 1: came across this this morning. So he said the stuff 402 00:21:17,400 --> 00:21:19,399 Speaker 1: that you probably heard throughout the day if you're following 403 00:21:19,480 --> 00:21:21,920 Speaker 1: the news. Then he went on a cable news show 404 00:21:21,960 --> 00:21:23,960 Speaker 1: where he was asked about dropping an F bomb and 405 00:21:24,000 --> 00:21:27,679 Speaker 1: whether that was appropriate or not the mayor there in Minneapolis, 406 00:21:27,680 --> 00:21:28,280 Speaker 1: and he said this. 407 00:21:28,560 --> 00:21:32,600 Speaker 8: I'm so sorry if I offended their Disney princess ears. 408 00:21:32,720 --> 00:21:36,880 Speaker 8: But here's the thing. If we're talking about what's inflammatory, 409 00:21:37,000 --> 00:21:38,800 Speaker 8: on the one hand, you got someone who dropped an 410 00:21:38,880 --> 00:21:40,520 Speaker 8: F bomb, and on the other hand you got someone 411 00:21:40,560 --> 00:21:45,800 Speaker 8: who killed somebody else f bomb killing somebody, I think 412 00:21:45,880 --> 00:21:50,040 Speaker 8: the more inflammatory action is killing somebody. And so once again, 413 00:21:50,440 --> 00:21:53,840 Speaker 8: let's be real and just honest and straight up about 414 00:21:53,840 --> 00:21:57,680 Speaker 8: what's happening here. This is not okay. The way they're 415 00:21:57,720 --> 00:22:00,240 Speaker 8: coming into cities, not just Minneapolis, but around on the 416 00:22:00,240 --> 00:22:02,280 Speaker 8: country is not okay. 417 00:22:03,119 --> 00:22:05,920 Speaker 1: All right, now you've changed the subject again to ICE's 418 00:22:06,240 --> 00:22:09,840 Speaker 1: activities in general. You know what's not okay is to 419 00:22:09,880 --> 00:22:13,040 Speaker 1: declare something murder a cold blooded murder, when indeed it 420 00:22:13,119 --> 00:22:14,480 Speaker 1: is obviously if you watch. 421 00:22:14,440 --> 00:22:16,200 Speaker 2: More than one video, mister mayor. 422 00:22:16,640 --> 00:22:21,680 Speaker 1: But yeah, the woman inadvertently or intentionally hits a law 423 00:22:21,720 --> 00:22:27,040 Speaker 1: enforcement officer with her car, and that is assault with 424 00:22:27,040 --> 00:22:29,240 Speaker 1: a deadly weapon according to every law in every state. 425 00:22:29,320 --> 00:22:33,040 Speaker 1: I mean, it's just beyond dispute. The legal question becomes 426 00:22:33,040 --> 00:22:36,120 Speaker 1: and We went over this in more detail our one 427 00:22:36,200 --> 00:22:43,600 Speaker 1: of the show. Because she had passed the officer, she 428 00:22:43,760 --> 00:22:46,960 Speaker 1: had just hit and was no longer in the blink 429 00:22:47,000 --> 00:22:49,440 Speaker 1: of an eye, and this all transpired in the course 430 00:22:49,480 --> 00:22:52,920 Speaker 1: of a couple of seconds, no longer a threat to him. 431 00:22:53,040 --> 00:22:57,520 Speaker 1: She was indeed in the act of fleeing at that point, 432 00:22:58,240 --> 00:23:00,119 Speaker 1: was it justified to shoot her? And that gets in 433 00:23:00,119 --> 00:23:02,639 Speaker 1: a miny, Minnesota and federal law that has to do 434 00:23:02,760 --> 00:23:05,439 Speaker 1: with whether the officers trying to arrest or prevent the 435 00:23:05,560 --> 00:23:08,760 Speaker 1: escape of the person the officer reasonably believes has committed 436 00:23:08,840 --> 00:23:11,959 Speaker 1: or attempted a felony involving deadly force, and the officer 437 00:23:12,040 --> 00:23:14,800 Speaker 1: reasonably believes the person will cause death or great bodily 438 00:23:14,840 --> 00:23:19,320 Speaker 1: harm if not immediately apprehended. That will be where the 439 00:23:19,440 --> 00:23:24,040 Speaker 1: legal case is. You know where it's hinged, how it's weighed, 440 00:23:24,440 --> 00:23:27,240 Speaker 1: and I will tell you this and its context worth knowing. 441 00:23:27,720 --> 00:23:32,560 Speaker 1: The number of vehicles used to ram ICE agents and 442 00:23:32,600 --> 00:23:37,199 Speaker 1: their vehicles nationwide has skyrocketed. If you go on the 443 00:23:37,440 --> 00:23:40,960 Speaker 1: nests of lefty activity on the web, they're suggesting it, 444 00:23:41,000 --> 00:23:44,240 Speaker 1: they're encouraging it. A number of ICE agents and vehicles 445 00:23:44,240 --> 00:23:47,240 Speaker 1: have been damaged or injured, including the officer who was 446 00:23:47,240 --> 00:23:49,440 Speaker 1: involved in the shooting. He had been hit and dragged 447 00:23:49,760 --> 00:23:53,960 Speaker 1: a few weeks ago by somebody attempting to interfere with 448 00:23:54,000 --> 00:23:57,280 Speaker 1: ICE's activities with a vehicle. Final thought we mentioned this, 449 00:23:57,320 --> 00:24:00,639 Speaker 1: I think was last hour is what this woman, this 450 00:24:00,760 --> 00:24:03,159 Speaker 1: poor woman who's dead, and she's a poor woman, no 451 00:24:03,240 --> 00:24:08,320 Speaker 1: matter you know, whether she's just a stupid, misled lefty 452 00:24:08,520 --> 00:24:15,119 Speaker 1: half wit or made a terrible mistake. She was doing 453 00:24:15,320 --> 00:24:19,840 Speaker 1: what is a classic neo Marxist technique, putting the cops 454 00:24:19,880 --> 00:24:23,560 Speaker 1: in a decision dilemma, getting so in their faces, interfering 455 00:24:23,600 --> 00:24:25,920 Speaker 1: with their works so much they provoke. 456 00:24:26,240 --> 00:24:27,280 Speaker 2: She provokes a. 457 00:24:27,320 --> 00:24:32,199 Speaker 1: Response, then if that response is violent or notable in 458 00:24:32,240 --> 00:24:34,680 Speaker 1: any way, everybody, of course is recording on their phone 459 00:24:34,760 --> 00:24:35,720 Speaker 1: and you publicize it. 460 00:24:35,720 --> 00:24:36,040 Speaker 2: Look at the. 461 00:24:36,040 --> 00:24:38,440 Speaker 1: Fascists, Look at the fascist Look at the fascists. It's 462 00:24:38,440 --> 00:24:41,680 Speaker 1: why the Antifa people get in cops faces and shine 463 00:24:42,080 --> 00:24:44,520 Speaker 1: lasers in their eyes and like go as if they're 464 00:24:44,560 --> 00:24:46,440 Speaker 1: gonna poke them in the face or punch him in 465 00:24:46,480 --> 00:24:47,320 Speaker 1: the mouth or whatever. 466 00:24:47,520 --> 00:24:49,920 Speaker 2: They're trying to provoke a response. 467 00:24:50,880 --> 00:24:54,920 Speaker 1: She did that, and she got a response, whether it's 468 00:24:54,960 --> 00:24:55,960 Speaker 1: the right response or not. 469 00:24:56,160 --> 00:24:58,120 Speaker 2: Legally, justified. The courts will decide. 470 00:24:58,600 --> 00:25:03,560 Speaker 1: I don't know if there's anybody that painted themselves in 471 00:25:03,640 --> 00:25:06,359 Speaker 1: glory or what's the what's the saying people say about 472 00:25:06,440 --> 00:25:11,440 Speaker 1: covered themselves in glory, covered themselves in glory yesterday politically 473 00:25:11,520 --> 00:25:13,320 Speaker 1: or in the media. I don't know if anybody did. 474 00:25:13,480 --> 00:25:16,920 Speaker 1: Everybody went to there and you could have not even 475 00:25:17,000 --> 00:25:19,040 Speaker 1: had the video. You could have just described what happened, 476 00:25:19,080 --> 00:25:21,240 Speaker 1: and I feel like ninety nine percent of people would 477 00:25:21,280 --> 00:25:24,760 Speaker 1: have said the same thing. That's just the way it is. 478 00:25:25,480 --> 00:25:28,800 Speaker 1: Jd Vance out with a tweet. Every congressional Democrat and 479 00:25:28,840 --> 00:25:31,040 Speaker 1: every Democrat who's running for president should be asked a 480 00:25:31,080 --> 00:25:34,240 Speaker 1: simple question, did you think this officer was wrong in 481 00:25:34,280 --> 00:25:37,080 Speaker 1: defending his life against a deranged leftists who tried to 482 00:25:37,160 --> 00:25:41,520 Speaker 1: run him over? Deranged leftists has nothing to do with it. 483 00:25:41,560 --> 00:25:45,240 Speaker 1: I mean, she either tried to run over a cop 484 00:25:45,720 --> 00:25:48,399 Speaker 1: or she didn't in the cop responded properly or not. 485 00:25:48,800 --> 00:25:51,400 Speaker 1: What's in her head is not supposed to make any difference. 486 00:25:53,280 --> 00:25:57,360 Speaker 1: Just intent makes a difference, but like ideology not so much. Well, yeah, 487 00:25:57,400 --> 00:26:00,399 Speaker 1: intent make a difference, but yeah, I'm talking about our ideology. Instance, 488 00:26:00,440 --> 00:26:04,560 Speaker 1: what Jesse Waters talked about that this woman killed by 489 00:26:04,600 --> 00:26:08,480 Speaker 1: ice had pronouns in her bio, leaves behind a lesbian partner, 490 00:26:08,720 --> 00:26:11,440 Speaker 1: she's a poet and has a child from a previous marriage. 491 00:26:12,840 --> 00:26:16,600 Speaker 2: What so it's okay? I mean, yeah, it's completely rough. 492 00:26:16,640 --> 00:26:18,720 Speaker 2: Why does anybody go there? Now? 493 00:26:18,840 --> 00:26:21,480 Speaker 1: Why does anybody go there? I have a very strong 494 00:26:21,480 --> 00:26:26,160 Speaker 1: feeling the cop is going to be cleared of any charges, 495 00:26:26,280 --> 00:26:29,280 Speaker 1: given the specifics of the law in what happened, because 496 00:26:29,280 --> 00:26:31,520 Speaker 1: she unquestionably hit him, and if the mayor of Minneapolis 497 00:26:31,560 --> 00:26:33,520 Speaker 1: had watched a couple more videos, he would know that. 498 00:26:34,640 --> 00:26:37,440 Speaker 1: But that doesn't mean we know she was intentionally trying 499 00:26:37,440 --> 00:26:38,960 Speaker 1: to run the guy over. If you look at it 500 00:26:39,000 --> 00:26:42,840 Speaker 1: from a number of angles, she was trying to get away. 501 00:26:42,920 --> 00:26:45,960 Speaker 1: Absolutely was her attention focused on the guy at the 502 00:26:45,960 --> 00:26:47,600 Speaker 1: window trying to pull her out of her car, and 503 00:26:47,680 --> 00:26:48,639 Speaker 1: she did not know there was. 504 00:26:48,640 --> 00:26:52,040 Speaker 2: Another officer in front of her vehicle. It's entirely possible 505 00:26:52,040 --> 00:26:52,320 Speaker 2: that'd be. 506 00:26:52,440 --> 00:26:54,679 Speaker 1: We don't know, No, we don't know, and we'll never know, 507 00:26:54,760 --> 00:26:57,920 Speaker 1: but my guess would be her intention was, her attention 508 00:26:58,560 --> 00:27:01,120 Speaker 1: was entirely to her life after there, and she turned 509 00:27:01,119 --> 00:27:02,920 Speaker 1: the wheel and hit the gas to get out of there. 510 00:27:02,960 --> 00:27:04,480 Speaker 1: She didn't know there was somebody stand in front of 511 00:27:04,520 --> 00:27:08,280 Speaker 1: her regardless, you know, if you want a bottom line 512 00:27:08,320 --> 00:27:12,280 Speaker 1: it though she spent all day leading this charge of 513 00:27:12,440 --> 00:27:15,919 Speaker 1: blocking and impeding ice agents and doing their federal duty. 514 00:27:16,040 --> 00:27:19,000 Speaker 1: I can't imagine doing justify shooting her. But do not 515 00:27:19,200 --> 00:27:21,840 Speaker 1: portray her as some sort of innocent who was just 516 00:27:21,880 --> 00:27:24,920 Speaker 1: trying to parallel parking was executed by a fascist. It's 517 00:27:24,960 --> 00:27:28,520 Speaker 1: just ridiculous, right, man, oh man, oh man. God, you 518 00:27:28,600 --> 00:27:34,119 Speaker 1: got kids, you got life, and you're going to like 519 00:27:34,280 --> 00:27:36,719 Speaker 1: walk as far as you can up to the line 520 00:27:36,920 --> 00:27:41,680 Speaker 1: of things getting nutty with with people who are armed, right, 521 00:27:41,920 --> 00:27:45,399 Speaker 1: that's a heck of a choice. Yeah, she pushed it 522 00:27:45,520 --> 00:27:49,760 Speaker 1: too far. It's a damn shame. But I I again, 523 00:27:49,840 --> 00:27:52,159 Speaker 1: I will tell you this, and it's disappointing to me 524 00:27:52,200 --> 00:27:56,160 Speaker 1: and frustrating how few people in the media, in politics, 525 00:27:57,119 --> 00:27:59,880 Speaker 1: in real life understand that this is a specific stre 526 00:28:00,480 --> 00:28:02,680 Speaker 1: They wrote books about it, they signed them, The names 527 00:28:02,720 --> 00:28:04,879 Speaker 1: are on the spine. This is what you do with 528 00:28:04,960 --> 00:28:08,479 Speaker 1: the cops. You confront them, you provoke them, over and 529 00:28:08,600 --> 00:28:12,239 Speaker 1: over again. And she played that stupid game and won 530 00:28:12,320 --> 00:28:15,800 Speaker 1: a truly stupid and tragic prize. Again, whether it's justified 531 00:28:15,880 --> 00:28:19,399 Speaker 1: or not, legally speaking will let the law decide. But 532 00:28:19,480 --> 00:28:23,000 Speaker 1: it's let me read one text we got just I'm 533 00:28:23,040 --> 00:28:25,280 Speaker 1: trying to get as many different opinions in here as 534 00:28:25,280 --> 00:28:28,560 Speaker 1: I can sure uh of the way different people are 535 00:28:28,560 --> 00:28:32,520 Speaker 1: looking at it. The cop jumped in front of the vehicle. 536 00:28:32,640 --> 00:28:34,320 Speaker 1: There was plenty of room for him to get out 537 00:28:34,359 --> 00:28:36,639 Speaker 1: of the way. He just shot her because she pissed 538 00:28:36,680 --> 00:28:39,719 Speaker 1: him off. If a citizen shoots someone in self defense, 539 00:28:39,760 --> 00:28:44,080 Speaker 1: every possible route of escape would be scrutinized. That's true. 540 00:28:44,080 --> 00:28:46,080 Speaker 1: We've been through That's what state you're in. But yeah, 541 00:28:46,120 --> 00:28:47,880 Speaker 1: we've been through that many times. Why didn't you jump 542 00:28:47,880 --> 00:28:49,720 Speaker 1: through the window and run down the fire escape when 543 00:28:49,720 --> 00:28:52,040 Speaker 1: the robbers kicked your door in? You know that does 544 00:28:52,080 --> 00:28:55,560 Speaker 1: happen someplaces, and we've decried that as idiotic over and 545 00:28:55,560 --> 00:28:59,240 Speaker 1: over again. You want to hit us with that heavyweight 546 00:28:59,280 --> 00:29:03,040 Speaker 1: to Jay sick email after we talk people, Yeah, why 547 00:29:03,120 --> 00:29:06,000 Speaker 1: not go ahead? Prize picks fun. 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So this kind of flows from 572 00:30:06,040 --> 00:30:10,200 Speaker 1: our discussion earlier that the reason I we are taking 573 00:30:10,200 --> 00:30:12,960 Speaker 1: the approach we are part of it is that I 574 00:30:13,040 --> 00:30:16,320 Speaker 1: don't want to live in a country where the cops 575 00:30:16,400 --> 00:30:20,000 Speaker 1: can shoot me down if I stand up to their 576 00:30:20,120 --> 00:30:23,560 Speaker 1: DEI raid or they come to take my home or 577 00:30:23,600 --> 00:30:26,720 Speaker 1: my business or my kids or whatever because I resist 578 00:30:26,760 --> 00:30:31,000 Speaker 1: their DEI dictates and if I piss them off, they 579 00:30:31,040 --> 00:30:34,080 Speaker 1: can kill me. Okay, we're all against that, no matter 580 00:30:34,080 --> 00:30:36,080 Speaker 1: what side the politics are on. We don't want to 581 00:30:36,080 --> 00:30:39,280 Speaker 1: live in that country. Here's a provocative question for you. 582 00:30:40,280 --> 00:30:43,920 Speaker 1: If the Capitol police had abided by the standards that 583 00:30:44,080 --> 00:30:49,520 Speaker 1: some MAGA commentators have for, then Minneapolis Ice shooting half 584 00:30:49,600 --> 00:30:52,120 Speaker 1: the January sixth protesters would have been shot to death. 585 00:30:52,320 --> 00:30:56,200 Speaker 1: In other words, this officer yesterday in Minneapolis felt his 586 00:30:56,280 --> 00:30:59,360 Speaker 1: life was in danger, so he's justified in shooting the woman. 587 00:30:59,560 --> 00:31:02,000 Speaker 1: How about those cops that were on their back being 588 00:31:02,120 --> 00:31:06,520 Speaker 1: beaten with American flags or bear maced and kicked. Were 589 00:31:06,520 --> 00:31:07,640 Speaker 1: there lives in danger? 590 00:31:08,240 --> 00:31:10,960 Speaker 2: And was it cool to shoot those protesters? 591 00:31:11,680 --> 00:31:14,000 Speaker 1: How the hell would it not have been? Are we 592 00:31:14,080 --> 00:31:16,680 Speaker 1: asking too much of people to ask them to be consistent? 593 00:31:17,440 --> 00:31:19,440 Speaker 2: I don't know. I don't think so. 594 00:31:19,920 --> 00:31:24,280 Speaker 1: It's probably bad for business, but we've never been particularly 595 00:31:25,400 --> 00:31:32,720 Speaker 1: oriented like that. Yeah, that's look, it's about principle. You 596 00:31:32,760 --> 00:31:35,080 Speaker 1: know they're they're once you get used to having a 597 00:31:35,080 --> 00:31:38,840 Speaker 1: principle and sticking with it. It's occasionally inconvenient, but it's 598 00:31:38,920 --> 00:31:40,960 Speaker 1: it's kind of a good way to live. Any thoughts 599 00:31:41,000 --> 00:31:45,160 Speaker 1: on that text line four one five two nine five KFTC. 600 00:31:46,280 --> 00:31:52,240 Speaker 5: Smart Play bricks at this year's Consumer Electronics Show in Vegas. 601 00:31:52,240 --> 00:31:55,440 Speaker 5: They look a lot like regular Lego pieces, but they 602 00:31:55,440 --> 00:31:59,200 Speaker 5: have chips inside them that can make the bricks light 603 00:31:59,320 --> 00:32:02,720 Speaker 5: up makes sounds when they're placed near one another. The 604 00:32:02,800 --> 00:32:06,160 Speaker 5: new bricks launch in March, with the first sets featuring 605 00:32:06,560 --> 00:32:07,560 Speaker 5: Star Wars things. 606 00:32:08,120 --> 00:32:10,360 Speaker 1: I never mentioned the term Lego. It's a Lego. It's 607 00:32:10,360 --> 00:32:13,840 Speaker 1: the biggest innovation in Lego in fifty years. They have 608 00:32:13,920 --> 00:32:15,640 Speaker 1: new bricks that have little lights in them. 609 00:32:15,680 --> 00:32:16,280 Speaker 2: How exciting. 610 00:32:17,280 --> 00:32:20,440 Speaker 1: My kids are past the age of being into Legos. 611 00:32:20,760 --> 00:32:24,000 Speaker 1: They are teenagers now and they share a bathroom and 612 00:32:24,040 --> 00:32:27,160 Speaker 1: this has become an issue as one of them is 613 00:32:27,200 --> 00:32:34,440 Speaker 1: significantly cleaner than the other. Oh, it's odd couple, And 614 00:32:34,520 --> 00:32:37,200 Speaker 1: I explained to them last night, how about this is 615 00:32:37,280 --> 00:32:41,360 Speaker 1: like is all the conversations You could practically have siblings 616 00:32:41,360 --> 00:32:43,920 Speaker 1: who share a bathroom and one of them complaining about 617 00:32:43,920 --> 00:32:46,400 Speaker 1: the other one. But so this is what I've come 618 00:32:46,480 --> 00:32:48,080 Speaker 1: up with. See if this seems like a good idea. 619 00:32:48,480 --> 00:32:52,480 Speaker 1: I actually, after getting the bathroom pretty clean, I took 620 00:32:52,600 --> 00:32:58,160 Speaker 1: pictures of the sink in the toilet because the less 621 00:32:58,240 --> 00:33:02,960 Speaker 1: clean one claims it's not him. So I actually took 622 00:33:03,000 --> 00:33:05,840 Speaker 1: pictures showing that the thing is clean, that the bathroom 623 00:33:05,880 --> 00:33:09,240 Speaker 1: is clean, and then after he uses it, if it's 624 00:33:09,320 --> 00:33:13,160 Speaker 1: not clean anymore, I will have the evidence that, look, 625 00:33:13,320 --> 00:33:14,920 Speaker 1: it wasn't because he always say it was that. 626 00:33:14,880 --> 00:33:19,000 Speaker 2: Way before I didn't do it, or so you go. 627 00:33:19,400 --> 00:33:22,240 Speaker 1: I'm hoping this is what happens. I'm hoping this will work. 628 00:33:23,800 --> 00:33:25,560 Speaker 1: So what's your question, Katie. 629 00:33:25,920 --> 00:33:28,280 Speaker 2: So you're going into the bathroom after. 630 00:33:29,440 --> 00:33:32,520 Speaker 1: When the when the other son says he did it again, 631 00:33:33,680 --> 00:33:35,880 Speaker 1: I can go into the bathroom and and show the 632 00:33:35,920 --> 00:33:39,440 Speaker 1: dirty song. So it's like the commercials where well let's 633 00:33:39,440 --> 00:33:41,360 Speaker 1: go to the replay, we can go under the hood, 634 00:33:41,440 --> 00:33:44,160 Speaker 1: but in real life, yeah, exactly, more or less, this 635 00:33:44,200 --> 00:33:46,240 Speaker 1: is what the bathroom looked like last night before you 636 00:33:46,360 --> 00:33:47,960 Speaker 1: used it, and he hasn't been in there. 637 00:33:47,880 --> 00:33:51,320 Speaker 2: Yet, so what's the deal. Yeah, So we'll see if 638 00:33:51,320 --> 00:33:54,480 Speaker 2: this works. We'll have some good It's funny. 639 00:33:54,520 --> 00:33:57,680 Speaker 1: If you got the if you've got the clean gene 640 00:33:57,760 --> 00:34:01,080 Speaker 1: or not. It's just like I I am pretty neat 641 00:34:01,160 --> 00:34:04,960 Speaker 1: my bathroom. Never ever, even when I was a nineteen 642 00:34:05,040 --> 00:34:08,719 Speaker 1: year old drinking all the time college guy with my 643 00:34:08,800 --> 00:34:11,839 Speaker 1: own place, my bathroom never looked the way my one 644 00:34:11,920 --> 00:34:13,120 Speaker 1: son winds it. 645 00:34:13,239 --> 00:34:15,360 Speaker 2: And he doesn't even notice, Like, what are you talking about? 646 00:34:15,480 --> 00:34:18,799 Speaker 2: What am I talking about? Look at this? Yeah, it's 647 00:34:18,840 --> 00:34:20,000 Speaker 2: just the way he's built. 648 00:34:21,800 --> 00:34:24,920 Speaker 1: Different people have different tolerances for that sort of thing. 649 00:34:25,000 --> 00:34:28,239 Speaker 1: I guess My wife and daughter and I were going 650 00:34:28,280 --> 00:34:30,640 Speaker 1: to see my son in his college apartment, and I 651 00:34:30,920 --> 00:34:33,680 Speaker 1: reached out to him like a week before. I said, hey, dude, 652 00:34:33,719 --> 00:34:36,520 Speaker 1: they're gonna be ladies present. Take a look at your bathroom. 653 00:34:36,640 --> 00:34:37,200 Speaker 2: Take care of it. 654 00:34:37,239 --> 00:34:39,880 Speaker 1: Okay, yeah, yeah, okay, we get there. It's a freaking 655 00:34:40,560 --> 00:34:45,200 Speaker 1: apa super fun site. That's terrible. I was really disappointed 656 00:34:45,239 --> 00:34:49,080 Speaker 1: in him. My god, take ten minutes. 657 00:34:50,480 --> 00:34:52,880 Speaker 2: Yeah right, I think it's not that difficult. 658 00:34:53,000 --> 00:34:56,400 Speaker 1: Well, I think it's a I like, it doesn't bother me, 659 00:34:56,520 --> 00:34:59,480 Speaker 1: or it doesn't. I don't consider this dirty, so it 660 00:34:59,520 --> 00:35:02,120 Speaker 1: doesn't make used to it. You think it's you get 661 00:35:02,200 --> 00:35:05,279 Speaker 1: used to it, or because I never I never ever 662 00:35:05,360 --> 00:35:08,520 Speaker 1: did that. I just I'm not this. I couldn't handle 663 00:35:08,520 --> 00:35:11,960 Speaker 1: my bathroom being that dirty. So we have different tolerances 664 00:35:12,000 --> 00:35:12,720 Speaker 1: for neatness. 665 00:35:12,760 --> 00:35:14,200 Speaker 2: I guess you get used to it. 666 00:35:15,920 --> 00:35:18,400 Speaker 1: Wonder if I over figure out that genetic thing and 667 00:35:18,680 --> 00:35:21,160 Speaker 1: crisper can make us all a little neater or or 668 00:35:21,280 --> 00:35:24,080 Speaker 1: levermind height or blue eyes, give my get the clean geen. 669 00:35:26,880 --> 00:35:33,120 Speaker 2: One word describes most of the problem. Hair, oh freaking everywhere? 670 00:35:34,760 --> 00:35:35,480 Speaker 2: What's the deal? 671 00:35:35,920 --> 00:35:36,000 Speaker 3: So? 672 00:35:36,120 --> 00:35:38,239 Speaker 2: Coming up an hour four? Yes there is an hour four. 673 00:35:38,239 --> 00:35:39,960 Speaker 1: If you don't get it, you should subscribe to the 674 00:35:39,960 --> 00:35:42,480 Speaker 1: podcast Armstrong and Getty on demand. It will be available 675 00:35:42,560 --> 00:35:44,840 Speaker 1: presently and you can grab it later on today. But 676 00:35:45,200 --> 00:35:50,000 Speaker 1: a couple of things, including a really great realist, non 677 00:35:50,120 --> 00:35:54,120 Speaker 1: partisan analysis of what happened with the mini Minneapolis shooting. 678 00:35:55,239 --> 00:35:58,719 Speaker 1: And it is at least somewhat related to the hilariously 679 00:35:58,960 --> 00:36:04,920 Speaker 1: cliched makeup of zoron Mumdani's cabinet. They're all exactly the 680 00:36:04,960 --> 00:36:09,920 Speaker 1: sort of person we've been discussing. You're rich kid, upper 681 00:36:10,000 --> 00:36:14,880 Speaker 1: class twit promoting revolution person? Well, I look forward to this. 682 00:36:14,960 --> 00:36:16,640 Speaker 1: I will hear it because I have to be here 683 00:36:16,680 --> 00:36:18,880 Speaker 1: by contract. But if you don't get to hear it, 684 00:36:18,880 --> 00:36:20,920 Speaker 1: you can find it in the podcast Armstrong and Getty 685 00:36:20,960 --> 00:36:23,200 Speaker 1: on demand. As Joe mentioned, Armstrong and Getty on demand 686 00:36:23,200 --> 00:36:25,200 Speaker 1: if you subscribe, it makes it so much easier. 687 00:36:25,320 --> 00:36:29,320 Speaker 9: Just subscribe Armstrong and Getty