1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,200 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty. 3 00:00:10,160 --> 00:00:23,439 Speaker 2: Arm Strong and Jettie and he Armstrong and Getty. I 4 00:00:23,440 --> 00:00:25,240 Speaker 2: don't want to talk about Mother's Day yesterday. 5 00:00:26,160 --> 00:00:28,320 Speaker 3: I had a little exchange yesterday which made me realize 6 00:00:28,360 --> 00:00:31,120 Speaker 3: different people have different views of what Mother's Day should be, 7 00:00:31,600 --> 00:00:34,159 Speaker 3: how it should be celebrated or honored. 8 00:00:34,840 --> 00:00:37,479 Speaker 2: And I don't know. You know, you have a tendency to. 9 00:00:39,400 --> 00:00:41,199 Speaker 3: Think that the way you see things is the way 10 00:00:41,240 --> 00:00:44,480 Speaker 3: most people see them until you meet evidence to the contrary. 11 00:00:45,360 --> 00:00:49,000 Speaker 3: Maybe I'm off base, and we'll throw that out to 12 00:00:49,040 --> 00:00:52,240 Speaker 3: you the listener later. Did you want to break from 13 00:00:52,240 --> 00:00:55,400 Speaker 3: your kids on Mother's Day or did you want to 14 00:00:55,400 --> 00:00:57,000 Speaker 3: spend time with your kids on Mother's Day? 15 00:00:57,040 --> 00:00:59,360 Speaker 2: It seems to be quite the diverging opinion on that 16 00:01:01,960 --> 00:01:02,280 Speaker 2: to me. 17 00:01:02,480 --> 00:01:07,000 Speaker 3: There are six to seven major news stories happening right 18 00:01:07,040 --> 00:01:09,720 Speaker 3: now with developments on like an hourly basis, which is 19 00:01:10,959 --> 00:01:15,400 Speaker 3: really quite extraordinary to me. Among the biggest things that 20 00:01:15,520 --> 00:01:21,479 Speaker 3: happened over the weekend was President she sitting next there 21 00:01:22,080 --> 00:01:26,240 Speaker 3: next to Vladimir Putin in Moscow watching the giant military 22 00:01:26,280 --> 00:01:33,080 Speaker 3: parade with tens of thousands of Chinese soldiers marching in 23 00:01:33,120 --> 00:01:36,440 Speaker 3: front of them there in Red Square to show the 24 00:01:36,520 --> 00:01:41,600 Speaker 3: solidarity between the Kami Chinese and the Kami slash Dictator Putin, 25 00:01:42,000 --> 00:01:44,400 Speaker 3: along with North Korea and all the other bad players 26 00:01:44,400 --> 00:01:47,920 Speaker 3: in the world. That is a frightening situation. Here's Martha 27 00:01:47,960 --> 00:01:51,600 Speaker 3: Rattot's reporting on it yesterday on ABC this week. 28 00:01:52,000 --> 00:01:56,960 Speaker 4: It was a massive display of military muscle. More than 29 00:01:57,000 --> 00:02:01,760 Speaker 4: eleven thousand Russian and foreign troops marching across Moscow's Red Square, 30 00:02:02,280 --> 00:02:05,960 Speaker 4: all under the gaze of Vladimir Putin and his special guest, 31 00:02:06,360 --> 00:02:13,480 Speaker 4: China's president. She tanks, artillery and missiles rolling before them, 32 00:02:13,800 --> 00:02:19,160 Speaker 4: and fighter jets soaring above. There are troops from all 33 00:02:19,200 --> 00:02:21,720 Speaker 4: over the world here in Red Square today, but the 34 00:02:21,880 --> 00:02:25,040 Speaker 4: largest contingent of foreign troops from. 35 00:02:24,840 --> 00:02:29,079 Speaker 3: China, the biggest chunk of the foreign troops from freaking 36 00:02:29,240 --> 00:02:33,120 Speaker 3: China sentem a top the Moscow so they could march 37 00:02:33,160 --> 00:02:37,440 Speaker 3: in the parade. And then this weirdness which escaped most people. 38 00:02:37,480 --> 00:02:40,960 Speaker 3: I think Vladimir giving some sort of speech where. 39 00:02:40,760 --> 00:02:43,120 Speaker 2: He completely rewar wrote. 40 00:02:43,040 --> 00:02:48,960 Speaker 3: History to credit the Chinese for taking the lead in 41 00:02:49,040 --> 00:02:52,880 Speaker 3: turning back Japan in World War two and winning that front, 42 00:02:54,000 --> 00:02:57,800 Speaker 3: just a completely made up where did that come from? 43 00:02:58,800 --> 00:03:02,280 Speaker 2: Different view of away World War two ended. So now 44 00:03:02,320 --> 00:03:03,240 Speaker 2: it was it. 45 00:03:03,160 --> 00:03:06,880 Speaker 3: Was Russia stopping the Nazis and it was China's stopping 46 00:03:06,960 --> 00:03:08,320 Speaker 3: the imperial Japanese. 47 00:03:08,680 --> 00:03:12,280 Speaker 2: That's the way Putin presented it to the cheering crowd. 48 00:03:13,200 --> 00:03:17,120 Speaker 5: It's so interesting to watch everything orwell tried to teach us, 49 00:03:17,639 --> 00:03:21,040 Speaker 5: just being played out. It is so important to own history. 50 00:03:21,360 --> 00:03:24,000 Speaker 5: He who owns the past owns the present. He owns 51 00:03:24,000 --> 00:03:25,320 Speaker 5: the present, owns the future. 52 00:03:26,360 --> 00:03:28,960 Speaker 3: And I always go back to that caught on Mike 53 00:03:29,320 --> 00:03:34,679 Speaker 3: or on purpose exchange between she and Putin last couple 54 00:03:34,720 --> 00:03:37,760 Speaker 3: of years, where she said to Putin the world is 55 00:03:37,800 --> 00:03:38,160 Speaker 3: about to. 56 00:03:38,200 --> 00:03:39,800 Speaker 2: Change, and we're going to drive those changes. 57 00:03:39,840 --> 00:03:43,240 Speaker 3: I mean, he believes they believe they can end this 58 00:03:43,320 --> 00:03:49,280 Speaker 3: whole US, Western Europe led global order thing and turn 59 00:03:49,320 --> 00:03:50,480 Speaker 3: the world around and be in. 60 00:03:50,560 --> 00:03:56,200 Speaker 5: Charge a totalitarian poll, if you will, in a bipolar world. 61 00:03:56,560 --> 00:03:58,680 Speaker 2: Here's a little more from that, Martha raddits report. 62 00:03:58,920 --> 00:04:02,120 Speaker 4: Russian officials will not talk about the number of Russian 63 00:04:02,160 --> 00:04:05,640 Speaker 4: soldiers who have been killed in this war. By some estimates, 64 00:04:05,640 --> 00:04:09,080 Speaker 4: some two hundred thousand Russian soldiers have been killed fighting 65 00:04:09,120 --> 00:04:11,760 Speaker 4: in Ukraine, numbers the Russians denied. 66 00:04:12,480 --> 00:04:17,359 Speaker 3: Yeah, the lower estimates are two hundred thousand dead. We 67 00:04:17,480 --> 00:04:21,919 Speaker 3: lost seventy thousand in Vietnam over between sixty and seventy five, 68 00:04:22,000 --> 00:04:22,839 Speaker 3: a long. 69 00:04:22,560 --> 00:04:23,240 Speaker 2: Period of time. 70 00:04:23,680 --> 00:04:26,520 Speaker 3: We still talk about it. It wrecked our politics for decades. 71 00:04:26,560 --> 00:04:30,080 Speaker 3: We have a giant memorial toward it. They've lost three 72 00:04:30,160 --> 00:04:32,800 Speaker 3: to maybe four or five times that many, depending on 73 00:04:32,839 --> 00:04:38,120 Speaker 3: whose numbers you use, in three years, and many. 74 00:04:37,640 --> 00:04:40,640 Speaker 5: More than that, grievously injured and removed from the battlefield. 75 00:04:40,680 --> 00:04:45,080 Speaker 3: Yeah, right, and just an astounding development there, and that 76 00:04:45,120 --> 00:04:48,920 Speaker 3: parade was just, Oh, it's disturbing. 77 00:04:49,000 --> 00:04:49,320 Speaker 2: Man. 78 00:04:49,680 --> 00:04:52,520 Speaker 5: As we're discussing last week, it's a very very different 79 00:04:52,560 --> 00:04:57,160 Speaker 5: culture Russia. They venerate dying in battle and being a 80 00:04:57,160 --> 00:05:02,000 Speaker 5: martyr for the cause, and family is drenched in honor 81 00:05:02,279 --> 00:05:06,800 Speaker 5: if you lost somebody. And actually they're they're working very 82 00:05:06,800 --> 00:05:09,160 Speaker 5: hard to bring veterans back from the front and give 83 00:05:09,200 --> 00:05:12,279 Speaker 5: them cushy government jobs, get them in the legislatures, that 84 00:05:12,360 --> 00:05:16,039 Speaker 5: sort of thing, because they know that the brutality and 85 00:05:16,120 --> 00:05:19,120 Speaker 5: futility of a lot of their service could embitter them 86 00:05:19,680 --> 00:05:23,320 Speaker 5: and and be a force in Russian society that would 87 00:05:23,320 --> 00:05:24,320 Speaker 5: be destabilizing. 88 00:05:24,360 --> 00:05:26,600 Speaker 2: They say in the stability business. 89 00:05:27,520 --> 00:05:32,039 Speaker 3: So Putin said he will not agree to a cease 90 00:05:32,080 --> 00:05:35,599 Speaker 3: fire unless they have a meeting. So Trump tried to 91 00:05:36,640 --> 00:05:38,920 Speaker 3: do a little Judo on that and say, okay, fine, 92 00:05:38,960 --> 00:05:42,799 Speaker 3: there's a meeting Thursday. Is dumbled Turkey. Zelensky immediately jumped 93 00:05:42,800 --> 00:05:45,040 Speaker 3: on board and said, I'll be there waiting for you. 94 00:05:45,520 --> 00:05:47,400 Speaker 3: So Zelensky says he's going to be in Turkey and 95 00:05:47,440 --> 00:05:52,000 Speaker 3: is dumbul sitting at a boardroom table waiting for your putting. 96 00:05:51,680 --> 00:05:54,960 Speaker 2: The show up on Thursday. We'll see how it plays out. 97 00:05:55,880 --> 00:05:58,680 Speaker 5: So yeah, Zelensky said, look, there's no peace talks without 98 00:05:58,680 --> 00:06:00,560 Speaker 5: a truce. We got to stop kill on each other 99 00:06:00,600 --> 00:06:05,960 Speaker 5: before we talk. And uh and uh. Putin said no, now, 100 00:06:06,080 --> 00:06:08,599 Speaker 5: let's just get together and talk. Trump said yeah, yeah, 101 00:06:08,760 --> 00:06:11,479 Speaker 5: we gotta have talked before seas fire apparently, And so 102 00:06:11,800 --> 00:06:14,520 Speaker 5: Zelenski said, okay, that's great. I'll be in Turkey on Thursday. 103 00:06:14,880 --> 00:06:20,200 Speaker 5: Show up either I'm ready. So, uh, how this ends 104 00:06:20,320 --> 00:06:23,280 Speaker 5: nobody knows and how Trump interprets it and and how 105 00:06:23,320 --> 00:06:25,400 Speaker 5: he adjusts his policies because of it. 106 00:06:25,640 --> 00:06:26,240 Speaker 2: So you think. 107 00:06:28,640 --> 00:06:31,279 Speaker 3: I don't know why he I feel like he could 108 00:06:32,080 --> 00:06:39,520 Speaker 3: easily and understandably provoke Zelenski into uh an emotional outburst 109 00:06:39,600 --> 00:06:41,960 Speaker 3: that makes it look like, you know, so Putin can play. Look, 110 00:06:42,000 --> 00:06:44,800 Speaker 3: he's he's he's too he's too angry, he hates me 111 00:06:44,839 --> 00:06:47,160 Speaker 3: too much, he's too too much of a Nazi. Oh 112 00:06:47,160 --> 00:06:48,800 Speaker 3: that's the other thing they kept going on and on 113 00:06:48,880 --> 00:06:51,640 Speaker 3: about at the big celebration over the weekend was how 114 00:06:51,680 --> 00:06:55,000 Speaker 3: they're continuing to fight the Nazis, indeed, not sifying Ukraine 115 00:06:55,080 --> 00:06:57,080 Speaker 3: after having beaten the Nazis in World War Two? 116 00:06:57,320 --> 00:06:59,159 Speaker 2: What the hell are you talking about? 117 00:06:59,600 --> 00:07:03,839 Speaker 5: Just he was to show you how idiotic the narrative, 118 00:07:03,880 --> 00:07:06,560 Speaker 5: the rhetoric can be around this sort of thing. Are 119 00:07:06,560 --> 00:07:08,719 Speaker 5: there some far rightists in Ukraine? 120 00:07:08,800 --> 00:07:09,920 Speaker 2: Yeah, yeah there are. 121 00:07:11,280 --> 00:07:13,080 Speaker 3: So, Well it's going to be interesting to see. So 122 00:07:13,120 --> 00:07:14,520 Speaker 3: you don't think it's going to happen the meeting. So 123 00:07:14,520 --> 00:07:17,240 Speaker 3: if the meeting doesn't happen on Thursday, what's the next step? 124 00:07:17,520 --> 00:07:21,760 Speaker 3: Trump and JD have both made it pretty clear. I 125 00:07:21,800 --> 00:07:25,160 Speaker 3: think that, Look, this is like your last chance, Putin 126 00:07:25,200 --> 00:07:29,480 Speaker 3: to show you have any interest in trying to negotiate 127 00:07:29,520 --> 00:07:32,120 Speaker 3: a peace. And that's why the European leaders got together 128 00:07:32,240 --> 00:07:35,360 Speaker 3: there in Kiev over the weekend. And if Putin doesn't 129 00:07:35,400 --> 00:07:37,240 Speaker 3: show up and shows no interest. There are gonna be 130 00:07:37,240 --> 00:07:41,720 Speaker 3: some hardcore sanctions coming toward Russia like this next weekend. 131 00:07:42,480 --> 00:07:42,880 Speaker 2: Yeah. 132 00:07:43,000 --> 00:07:47,080 Speaker 5: Well, Putin has only made the most pathetic and inadequate 133 00:07:47,120 --> 00:07:49,920 Speaker 5: of gestures toward peace because he's not interested in peace. 134 00:07:50,240 --> 00:07:52,520 Speaker 5: He doesn't want to stop the killing. He wants to 135 00:07:52,600 --> 00:07:55,720 Speaker 5: keep killing and keep acquiring land. So no, I think 136 00:07:55,880 --> 00:07:58,720 Speaker 5: the sit down with Zelensky would expose him. He would 137 00:07:58,720 --> 00:08:02,960 Speaker 5: feel like he was maneuvered into that, and Putin doesn't 138 00:08:02,960 --> 00:08:04,680 Speaker 5: do Oh, I just got maneuvered. 139 00:08:04,840 --> 00:08:05,960 Speaker 2: It just doesn't do that. 140 00:08:06,080 --> 00:08:08,320 Speaker 3: Well. I think Trump and the European leaders are serious 141 00:08:08,320 --> 00:08:10,520 Speaker 3: about these sanctions and everything, so that'll be interesting to 142 00:08:10,520 --> 00:08:12,880 Speaker 3: see how that plays out. I want to get into 143 00:08:12,920 --> 00:08:16,680 Speaker 3: this AI video though. If you haven't seen it, we'll 144 00:08:16,680 --> 00:08:17,840 Speaker 3: explain it to you right after this. 145 00:08:18,320 --> 00:08:20,880 Speaker 5: Yeah, word from our friends that prize picks. The basketball 146 00:08:20,920 --> 00:08:24,040 Speaker 5: playoffs are underway. 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So have you, Joe seen the. 168 00:09:21,679 --> 00:09:30,440 Speaker 3: Actual roughly forty five second video that supposedly Macrone meeting 169 00:09:30,559 --> 00:09:34,560 Speaker 3: with the leader of Germany and England and Poland. 170 00:09:34,559 --> 00:09:37,080 Speaker 2: They sit down at a little table in a train. 171 00:09:37,200 --> 00:09:41,240 Speaker 2: I think it is unexpectedly came in. 172 00:09:41,880 --> 00:09:45,360 Speaker 3: Somebody left a baggy of cocaine on the table and 173 00:09:45,520 --> 00:09:48,600 Speaker 3: Macrone grabs it real quick, he thinks, with nobody looking 174 00:09:48,640 --> 00:09:49,280 Speaker 3: and sticks it a. 175 00:09:49,320 --> 00:09:52,640 Speaker 2: Coke spoon too, right, Yeah, and I didn't see the 176 00:09:52,679 --> 00:09:54,520 Speaker 2: spoon part, even though I've watched the video and. 177 00:09:54,480 --> 00:09:57,720 Speaker 3: They say it's a spoon. Um, he grabs a little 178 00:09:57,720 --> 00:10:00,360 Speaker 3: baggy of white powder and I'll. 179 00:10:00,240 --> 00:10:01,960 Speaker 2: Just I'll read the retweeting of this. 180 00:10:01,960 --> 00:10:07,320 Speaker 3: This is from some doctor guy who's fairly well respected. 181 00:10:07,559 --> 00:10:10,880 Speaker 3: Guy's got over a million followers on Twitter who tweeted 182 00:10:10,880 --> 00:10:14,200 Speaker 3: this version of it out developing Macron's starmer and Mertz 183 00:10:14,240 --> 00:10:17,560 Speaker 3: caught on video on the return from Kiev a bag 184 00:10:17,600 --> 00:10:20,599 Speaker 3: of white powder on the table. Macron quickly pockets it, 185 00:10:20,720 --> 00:10:26,080 Speaker 3: Mertz hides the spoon. No explanation given Zolensky, known cocaine enthusiast, 186 00:10:26,320 --> 00:10:30,640 Speaker 3: had just hosted them connected the dots. I thought it 187 00:10:30,760 --> 00:10:36,200 Speaker 3: was laughable. I mean it had that AI look to 188 00:10:36,240 --> 00:10:38,520 Speaker 3: it for one thing. To me, just that kind of 189 00:10:38,520 --> 00:10:42,720 Speaker 3: little herky jerky AI look that stuff has. I'm sure 190 00:10:42,800 --> 00:10:44,920 Speaker 3: soon that will be gone and you won't be able 191 00:10:44,960 --> 00:10:49,559 Speaker 3: to see that. But the number of people that responded 192 00:10:50,679 --> 00:10:55,640 Speaker 3: just to our re playing of it on Twitter. It 193 00:10:55,679 --> 00:10:57,920 Speaker 3: looks real to me, or I think it's real, or 194 00:10:58,200 --> 00:11:00,680 Speaker 3: that's clearly real, or I've seen it from different angles. 195 00:11:00,679 --> 00:11:01,920 Speaker 2: Hey, guys, it's real. 196 00:11:03,480 --> 00:11:07,280 Speaker 5: A post truth world, man, we are, it's through the 197 00:11:07,320 --> 00:11:11,240 Speaker 5: looking glass. Yeah, yeah, I'm macronin Merits and Zelensky. You 198 00:11:11,240 --> 00:11:12,240 Speaker 5: are all coke monkeys. 199 00:11:12,600 --> 00:11:14,960 Speaker 2: That's right. That's why they're getting together, right to do 200 00:11:15,000 --> 00:11:15,640 Speaker 2: a little blow. 201 00:11:15,800 --> 00:11:19,840 Speaker 3: Okay, that's why they get together with Zelensky was because 202 00:11:19,880 --> 00:11:21,679 Speaker 3: it's about their personal cocaine use. 203 00:11:22,280 --> 00:11:24,960 Speaker 2: I mean that just seems like such a ridiculous premise. 204 00:11:26,480 --> 00:11:32,239 Speaker 5: Yes, but if you're primed to believe that and desperate's 205 00:11:32,240 --> 00:11:37,280 Speaker 5: the wrong, enthusiastic about believing anything negative. You here because 206 00:11:37,760 --> 00:11:41,800 Speaker 5: Russian propaganda, which is highly skilled, it's like it's interesting. 207 00:11:41,800 --> 00:11:44,840 Speaker 5: A engineer buddy of mine, we've discussed at for length 208 00:11:45,120 --> 00:11:49,640 Speaker 5: the fact that Russia is technically very very adept in 209 00:11:49,679 --> 00:11:52,080 Speaker 5: the sciences, you know, the cosmonauts blah blah blah, but 210 00:11:52,200 --> 00:11:56,439 Speaker 5: they can't manufacture. They just, for whatever reason, they've never 211 00:11:56,480 --> 00:11:58,480 Speaker 5: been able to become a manufacturing power. 212 00:11:59,280 --> 00:12:01,280 Speaker 2: They are very, very very. 213 00:12:01,120 --> 00:12:05,760 Speaker 5: Good at propaganda, at psyops, how to design it, how 214 00:12:05,800 --> 00:12:10,120 Speaker 5: to seduce people, what constituencies within a country are most 215 00:12:10,240 --> 00:12:13,920 Speaker 5: susceptible to our talking points, how do we seduce them? 216 00:12:13,960 --> 00:12:17,000 Speaker 5: They're very skilled at that, and they've found some pretty 217 00:12:17,080 --> 00:12:18,280 Speaker 5: eager ears in the West. 218 00:12:18,440 --> 00:12:21,680 Speaker 3: So this particular doctor with a million followers that retweeted 219 00:12:21,720 --> 00:12:27,120 Speaker 3: it is one of those scientists who got fired for 220 00:12:27,320 --> 00:12:30,560 Speaker 3: speaking out about COVID stuff early on, which I was 221 00:12:30,600 --> 00:12:32,800 Speaker 3: on his side on mostly. 222 00:12:33,320 --> 00:12:35,400 Speaker 2: But regardless, that doesn't make this real. 223 00:12:35,760 --> 00:12:39,680 Speaker 3: And so what I wonder about this stuff is do 224 00:12:39,800 --> 00:12:44,880 Speaker 3: people actually believe it or is it like the flat 225 00:12:44,920 --> 00:12:49,840 Speaker 3: earthers who get kindness some sort of I don't quite 226 00:12:49,920 --> 00:12:53,040 Speaker 3: understand it. They don't fully believe it. They just get 227 00:12:53,080 --> 00:12:53,959 Speaker 3: a kick out of the. 228 00:12:56,400 --> 00:13:01,320 Speaker 2: What if it was aspect of it for some reason. No, 229 00:13:01,520 --> 00:13:03,720 Speaker 2: I don't understand the psychology of it quite. 230 00:13:04,920 --> 00:13:07,720 Speaker 5: I think it's like, if you really dislike your neighbor, 231 00:13:07,880 --> 00:13:11,240 Speaker 5: you're willing to believe any story about what a bastard 232 00:13:11,280 --> 00:13:15,160 Speaker 5: they are. It's that And they're they're anti Zelenski. Do 233 00:13:15,160 --> 00:13:16,320 Speaker 5: you think they're pro booting? 234 00:13:16,760 --> 00:13:19,880 Speaker 3: So the support of Europe and all those billions of 235 00:13:19,920 --> 00:13:22,560 Speaker 3: dollars and perhaps soldiers and everything like that is all 236 00:13:22,559 --> 00:13:24,200 Speaker 3: because their personal cocain't youws. 237 00:13:24,640 --> 00:13:26,000 Speaker 2: Yeah, they're a bunch of coke monkeys. 238 00:13:26,000 --> 00:13:28,880 Speaker 5: That's why they're all increasing their military budgets, having uh 239 00:13:29,000 --> 00:13:31,360 Speaker 5: you know, bringing Finland in the NATO that's right. 240 00:13:31,400 --> 00:13:33,080 Speaker 2: It's just it's it's ridiculous. 241 00:13:33,520 --> 00:13:36,760 Speaker 3: Any thoughts on that text line? Four one FFTC. 242 00:13:40,480 --> 00:13:43,480 Speaker 6: American Airlines has introduced a new first class option called 243 00:13:43,559 --> 00:13:47,880 Speaker 6: Flagship Suites that features privacy doors, a cool touch pillow, 244 00:13:48,080 --> 00:13:52,040 Speaker 6: and a live flat bed. American Airlines get pregnant with us. 245 00:13:54,679 --> 00:13:59,959 Speaker 5: Wow, Wow, Wow, all right, maybe I'm an older feen. 246 00:14:00,400 --> 00:14:02,880 Speaker 5: Just sounds like a nice opportunity to grab a little 247 00:14:02,920 --> 00:14:07,520 Speaker 5: shut eye. Anyway, So I thought this was interesting Wall 248 00:14:07,559 --> 00:14:10,559 Speaker 5: Street Journal with an article about a guy's somebody's been 249 00:14:10,600 --> 00:14:14,880 Speaker 5: stealing from his lot next to his home they're building, etc. 250 00:14:15,760 --> 00:14:19,200 Speaker 5: So he camps out with an AR fifteen, and sure 251 00:14:19,280 --> 00:14:22,520 Speaker 5: enough somebody shows up, wakes him up, shines a lightness face, 252 00:14:22,640 --> 00:14:25,720 Speaker 5: yelling and blewey. He fires at him. The intruder runs 253 00:14:25,720 --> 00:14:28,480 Speaker 5: away bleeding. What happened next? 254 00:14:28,640 --> 00:14:30,400 Speaker 2: Jack? What happened next? Is? 255 00:14:30,440 --> 00:14:32,960 Speaker 5: The twist shows the benefits and pitfalls of a fast 256 00:14:32,960 --> 00:14:36,080 Speaker 5: growing insurance market catering to gun owners who want to 257 00:14:36,120 --> 00:14:39,120 Speaker 5: protection if they kill or injure in self defense. 258 00:14:39,400 --> 00:14:41,040 Speaker 2: I gotta get this. There are so many people I 259 00:14:41,080 --> 00:14:41,960 Speaker 2: want to shoot. 260 00:14:42,320 --> 00:14:46,440 Speaker 5: So wow, Probably best not to air that sentiment. Rushing 261 00:14:46,480 --> 00:14:48,480 Speaker 5: back to his house, mister Houston, that's his name, or 262 00:14:48,560 --> 00:14:53,360 Speaker 5: Hustin followed the directions on a post incident card from 263 00:14:53,360 --> 00:14:55,920 Speaker 5: the US Concealed Kerry Association, which is one of the 264 00:14:56,040 --> 00:14:59,200 Speaker 5: leaders in this insurance field. He called nine one one, 265 00:14:59,320 --> 00:15:02,320 Speaker 5: and his wife called the company's twenty four hour hotline. 266 00:15:02,760 --> 00:15:08,920 Speaker 5: Within an hour, a us CCA attorney called to represent him. Now, interestingly, 267 00:15:09,120 --> 00:15:11,280 Speaker 5: there's a bit of a twist. After this guy's arrested 268 00:15:11,280 --> 00:15:14,840 Speaker 5: and charged with attempted murder, he says the USCCA lawyer 269 00:15:14,840 --> 00:15:16,440 Speaker 5: told him the case was a tough one. You probably 270 00:15:16,480 --> 00:15:19,000 Speaker 5: ought to plead guilty to a lesser charge. He said, 271 00:15:19,000 --> 00:15:21,640 Speaker 5: what now, and he found a new lawyer who got 272 00:15:21,640 --> 00:15:26,400 Speaker 5: the charges dismissed. Even though USCCA also paid for the 273 00:15:26,440 --> 00:15:29,040 Speaker 5: new lawyer. Houston quit his membership shortly after the two 274 00:15:29,120 --> 00:15:30,400 Speaker 5: year legal saga ended. 275 00:15:30,560 --> 00:15:33,080 Speaker 3: Yeah, so that my first thought is it's you were 276 00:15:33,120 --> 00:15:36,280 Speaker 3: either legally justified in shooting them or you weren't right 277 00:15:37,640 --> 00:15:38,640 Speaker 3: right right. 278 00:15:38,720 --> 00:15:41,120 Speaker 5: Although you know, it is a lawyer's job to say 279 00:15:41,200 --> 00:15:44,480 Speaker 5: we might win but it doesn't look great. Maybe you 280 00:15:44,600 --> 00:15:47,680 Speaker 5: take this safe bet. That's what lawyers do sometimes. But 281 00:15:47,720 --> 00:15:49,120 Speaker 5: this guy says, I knew I was in a since 282 00:15:49,120 --> 00:15:50,280 Speaker 5: there was no way I was going to take a 283 00:15:50,320 --> 00:15:53,000 Speaker 5: guilty please, which is again a bit of a twist 284 00:15:53,000 --> 00:15:55,480 Speaker 5: on the story. But the number of Americans buying self 285 00:15:55,520 --> 00:15:59,920 Speaker 5: defense insurance to call it murder insurance. 286 00:16:00,080 --> 00:16:02,640 Speaker 2: Don't need another damned insurance racket. 287 00:16:03,880 --> 00:16:06,600 Speaker 5: Liability laws, you know, you don't think, so I tell 288 00:16:06,640 --> 00:16:08,720 Speaker 5: you what, I'm gonna pay a few bucks a month 289 00:16:08,760 --> 00:16:10,760 Speaker 5: and if anything ever happens, I got to put a 290 00:16:10,760 --> 00:16:12,320 Speaker 5: holes in somebody. 291 00:16:11,840 --> 00:16:13,200 Speaker 2: But it just can't get a lawyer. 292 00:16:13,240 --> 00:16:16,680 Speaker 3: I got my rowing, So it's guns and now we're 293 00:16:16,680 --> 00:16:18,280 Speaker 3: gonna then I guarantee you. Then there's going to be 294 00:16:18,640 --> 00:16:22,720 Speaker 3: a sidewalk, a special sidewalk liability long case some may 295 00:16:22,720 --> 00:16:25,960 Speaker 3: trips on your sidewalk, and a special I don't know, 296 00:16:26,320 --> 00:16:28,440 Speaker 3: kitchen liability in case you have guests over in the 297 00:16:28,480 --> 00:16:29,800 Speaker 3: kitchen and they hurt themselves. 298 00:16:29,880 --> 00:16:32,160 Speaker 2: It'll just keep going and going well. 299 00:16:32,160 --> 00:16:34,680 Speaker 5: On My property is heavily booby trapped, as you know, 300 00:16:34,880 --> 00:16:40,800 Speaker 5: with various pungee sticks and flamethrowers, et cetera. About two 301 00:16:40,960 --> 00:16:43,720 Speaker 5: million people have signed up for this, according to the 302 00:16:43,720 --> 00:16:47,040 Speaker 5: industry executive, some of whom estimate their memberships doubled in 303 00:16:47,080 --> 00:16:48,200 Speaker 5: the last five years. 304 00:16:48,560 --> 00:16:49,040 Speaker 2: Offers. 305 00:16:49,280 --> 00:16:51,680 Speaker 5: The insure offers a range of services, including bail and 306 00:16:51,720 --> 00:16:55,160 Speaker 5: criminal defense lawyers so also cover the cost of litigation. 307 00:16:55,440 --> 00:16:58,080 Speaker 3: I hope this is the last gasp then that pushes 308 00:16:58,160 --> 00:16:59,840 Speaker 3: us over the edge to where we finally do some 309 00:17:00,080 --> 00:17:02,160 Speaker 3: sort of tort reform in this country, where we can't 310 00:17:02,240 --> 00:17:05,760 Speaker 3: keep suing the Jesus out of everybody all the time 311 00:17:05,800 --> 00:17:06,960 Speaker 3: for everything, because. 312 00:17:06,680 --> 00:17:09,040 Speaker 2: We've gotta fix that. It just has to happen. 313 00:17:10,200 --> 00:17:13,679 Speaker 5: I feel about tort reform like I feel about losing 314 00:17:13,800 --> 00:17:19,439 Speaker 5: thirty pounds. Really important, really ought to happen, not gonna happen. 315 00:17:21,800 --> 00:17:24,240 Speaker 5: And I don't mean to sound like a quitter that 316 00:17:24,280 --> 00:17:26,120 Speaker 5: I'm not on your side or anything, because I am, 317 00:17:26,200 --> 00:17:28,959 Speaker 5: But I just it's lawyers are in charge of everything. 318 00:17:29,040 --> 00:17:33,240 Speaker 5: There's look at the legislatures. Well that's right too, local, federal, Yes, 319 00:17:33,320 --> 00:17:38,080 Speaker 5: that's correct. Yeah, exactly, you've finally woken up thirty. So 320 00:17:38,200 --> 00:17:41,000 Speaker 5: if you had your ideal weight, you would lose thirty 321 00:17:41,000 --> 00:17:45,800 Speaker 5: pounds roughly. Yeah, yeah, that'd be really good for me, 322 00:17:46,000 --> 00:17:49,199 Speaker 5: but so much good food and wine. 323 00:17:49,480 --> 00:17:51,720 Speaker 3: There's a big, big, giant weight loss study came out 324 00:17:51,720 --> 00:17:53,639 Speaker 3: over the weekend. We could touch on that. It's uh, 325 00:17:53,760 --> 00:17:56,320 Speaker 3: I thought it was kind of interesting. Actual now actually. 326 00:17:56,200 --> 00:17:59,560 Speaker 5: Touch on it and I ignore it. Sounds good to me, 327 00:18:00,480 --> 00:18:02,560 Speaker 5: all sorts of big news to get to today. It 328 00:18:02,600 --> 00:18:05,800 Speaker 5: really is a wild news day. Hollywood doesn't need a 329 00:18:05,880 --> 00:18:08,520 Speaker 5: tax subsidy. In other stories, how much we got ripped 330 00:18:08,520 --> 00:18:12,320 Speaker 5: off during COVID. You gotta hear this story, Armstrong and 331 00:18:12,359 --> 00:18:16,399 Speaker 5: Getty to be honest, Elon Musk coming out and saying 332 00:18:16,840 --> 00:18:18,200 Speaker 5: there is a huge amount of fraud. 333 00:18:18,680 --> 00:18:22,000 Speaker 7: I welcome that message completely because finally someone is actually 334 00:18:22,040 --> 00:18:22,520 Speaker 7: saying this. 335 00:18:23,600 --> 00:18:26,600 Speaker 3: Thank god, sixty Minutes did this story last night, even 336 00:18:26,640 --> 00:18:28,560 Speaker 3: though they made me so angry. 337 00:18:28,600 --> 00:18:32,840 Speaker 2: I was yelling out loud a couple of times. Thank God. 338 00:18:33,000 --> 00:18:34,040 Speaker 2: So hold on a second. 339 00:18:35,040 --> 00:18:38,160 Speaker 3: He's got the whooping cough, freaking whooping cough, which I'll 340 00:18:38,160 --> 00:18:40,720 Speaker 3: talk about later. You do not want to get whooping cough. 341 00:18:41,200 --> 00:18:42,040 Speaker 2: I don't want it. 342 00:18:42,080 --> 00:18:47,239 Speaker 3: But this story about fraud on sixty minutes, which we're 343 00:18:47,240 --> 00:18:49,120 Speaker 3: gonna spend a fair amount of time on right here, 344 00:18:49,160 --> 00:18:50,400 Speaker 3: is absolutely amazing. 345 00:18:51,240 --> 00:18:54,440 Speaker 2: Coming up. I want to bring my whole self to work. 346 00:18:54,880 --> 00:18:59,120 Speaker 5: Has turned to the beatings will continue until the morale improves. 347 00:18:59,359 --> 00:19:01,960 Speaker 5: And boy, that didn't take long. Stay tuned for that. 348 00:19:02,400 --> 00:19:05,800 Speaker 5: But getting back to sixty minutes, I think I know 349 00:19:05,920 --> 00:19:07,520 Speaker 5: what annoyed you so much, but I will. 350 00:19:07,320 --> 00:19:07,800 Speaker 2: Tell you this. 351 00:19:08,760 --> 00:19:13,720 Speaker 5: They did a story on enormous government fraud, a significant 352 00:19:13,800 --> 00:19:16,440 Speaker 5: share of which you're about to hear, which would tend 353 00:19:16,520 --> 00:19:20,399 Speaker 5: to reinforce a fairly trumpy, slash republican view of the world. 354 00:19:20,840 --> 00:19:21,639 Speaker 2: Shocked by that. 355 00:19:22,119 --> 00:19:25,919 Speaker 5: Then a great story on unbelievable scientific advancements dealing with 356 00:19:25,960 --> 00:19:29,399 Speaker 5: spinal injury, and then a nice piece about Jimmy Lee 357 00:19:29,440 --> 00:19:31,919 Speaker 5: Curtis in her career, and blah blah blah. It was 358 00:19:32,080 --> 00:19:35,800 Speaker 5: not obnoxiously activistly left. 359 00:19:35,600 --> 00:19:38,439 Speaker 2: With no very classic sixty minutes last night. Yeah, and 360 00:19:38,440 --> 00:19:40,159 Speaker 2: this first story is so important, just roll all on 361 00:19:40,240 --> 00:19:40,840 Speaker 2: with the next clip. 362 00:19:40,920 --> 00:19:45,000 Speaker 3: There, Michael, is this woman who has been screaming about 363 00:19:45,160 --> 00:19:48,199 Speaker 3: fraud and government her whole career and getting no attention. 364 00:19:48,640 --> 00:19:53,879 Speaker 7: I believe the government is losing between five hundred and 365 00:19:53,880 --> 00:19:57,520 Speaker 7: fifty billion and about seven hundred and fifty billion a year. 366 00:19:58,200 --> 00:20:01,840 Speaker 7: We're coming up close to the one trillion amount is 367 00:20:01,880 --> 00:20:03,280 Speaker 7: lost every year a fraud. 368 00:20:03,480 --> 00:20:07,600 Speaker 3: A year, a trillion dollars. We're coming up on a 369 00:20:07,680 --> 00:20:12,280 Speaker 3: trillion dollars a year of fraud. 370 00:20:13,400 --> 00:20:15,840 Speaker 5: I don't want to steal her thunder, but a lot 371 00:20:15,840 --> 00:20:17,720 Speaker 5: of the story had to do with or at least 372 00:20:17,720 --> 00:20:20,679 Speaker 5: a significant amount, with the fact that the safeguards are 373 00:20:20,800 --> 00:20:24,119 Speaker 5: pathetic and inadequate, and everybody knows it because it's just 374 00:20:24,160 --> 00:20:26,880 Speaker 5: not a priority. Yeah, you bust your ass to pay 375 00:20:26,920 --> 00:20:29,520 Speaker 5: your taxes, and yeah we take your money from you 376 00:20:29,680 --> 00:20:31,760 Speaker 5: or you go to jail. But yeah, once we have 377 00:20:31,920 --> 00:20:33,639 Speaker 5: your money, now we don't safeguarded at all. 378 00:20:33,720 --> 00:20:36,400 Speaker 3: Not really, this is a both party problem too, I mean, 379 00:20:36,480 --> 00:20:40,920 Speaker 3: oh yes, because if one party made this big deal 380 00:20:40,960 --> 00:20:43,280 Speaker 3: of this enough when they were in power, they could 381 00:20:43,280 --> 00:20:44,200 Speaker 3: do something about it. 382 00:20:44,480 --> 00:20:46,919 Speaker 2: They're trying, I think, just keep going, Michael. 383 00:20:47,240 --> 00:20:51,120 Speaker 8: When most people think of government fraud, I imagine they're thinking, 384 00:20:51,359 --> 00:20:56,280 Speaker 8: somebody is claiming disability benefits when they're not actually eligible, 385 00:20:56,359 --> 00:20:59,959 Speaker 8: somebody collecting food stamps when they're not actually eligible. 386 00:21:01,000 --> 00:21:02,359 Speaker 2: Are those the biggest defenders? 387 00:21:02,920 --> 00:21:05,320 Speaker 7: Not at all, Not by a long shot. What we're 388 00:21:05,359 --> 00:21:09,480 Speaker 7: really talking about is nation state actors. We're talking about 389 00:21:09,640 --> 00:21:13,720 Speaker 7: organized crime rings. We're talking about using vast amounts of 390 00:21:13,760 --> 00:21:19,280 Speaker 7: stolen Americans' identities to monetize them for you know, criminal activity. 391 00:21:20,560 --> 00:21:24,320 Speaker 3: So when COVID happened, and they were throwing around trillions 392 00:21:24,359 --> 00:21:27,119 Speaker 3: of dollars like crazy and opening up all these various programs. 393 00:21:28,080 --> 00:21:30,720 Speaker 3: Lots of people jumped on. It's similar to what happened 394 00:21:30,760 --> 00:21:33,840 Speaker 3: in California with the biggest fraud in California state history, 395 00:21:34,040 --> 00:21:38,160 Speaker 3: where prisoners from other states start applying for small business 396 00:21:38,160 --> 00:21:41,040 Speaker 3: handouts and everything like that and got them to the 397 00:21:41,080 --> 00:21:43,320 Speaker 3: tune of gazillions and gazillions of dollars. 398 00:21:43,840 --> 00:21:46,239 Speaker 2: This well, this next little clip from her will make 399 00:21:46,280 --> 00:21:46,600 Speaker 2: you mad. 400 00:21:47,040 --> 00:21:50,600 Speaker 9: In twenty twenty, Miller was appointed to an independent watchdog 401 00:21:50,680 --> 00:21:54,120 Speaker 9: committee that tracked how COVID relief money was spent, so. 402 00:21:54,160 --> 00:21:56,000 Speaker 7: We could tell right away, its like, oh, well, that's 403 00:21:56,040 --> 00:21:56,919 Speaker 7: all going to get stolen. 404 00:21:57,000 --> 00:21:57,640 Speaker 2: You saw it coming. 405 00:21:57,720 --> 00:22:00,480 Speaker 7: Oh yeah, I mean it was like they through money 406 00:22:00,520 --> 00:22:02,240 Speaker 7: in the air and just let people run around and 407 00:22:02,240 --> 00:22:03,840 Speaker 7: grab it. 408 00:22:03,960 --> 00:22:06,800 Speaker 2: Still in favor of tax increases? Are you let that 409 00:22:06,920 --> 00:22:07,920 Speaker 2: hang there for a while. 410 00:22:08,000 --> 00:22:10,000 Speaker 3: It's like they threw money up in the air and 411 00:22:10,080 --> 00:22:12,680 Speaker 3: let people run around and grab it. What is it 412 00:22:12,760 --> 00:22:17,840 Speaker 3: with lefties? I do not understand the whole. I care 413 00:22:17,880 --> 00:22:20,439 Speaker 3: about the downdraw. I get caring about the downtrodden, but 414 00:22:20,480 --> 00:22:22,679 Speaker 3: I don't get the whole I care about the downtrodden. 415 00:22:22,840 --> 00:22:25,320 Speaker 3: I'm willing to throw money at it and then not 416 00:22:25,600 --> 00:22:30,119 Speaker 3: pay the slightest bit of attention at all ever to 417 00:22:30,160 --> 00:22:32,240 Speaker 3: where the money goes or if it does any good. 418 00:22:33,760 --> 00:22:42,240 Speaker 2: I believe this in my heart. There is a huge motivator. 419 00:22:42,840 --> 00:22:44,600 Speaker 2: Let me structure the sense like this. 420 00:22:45,400 --> 00:22:51,560 Speaker 5: Self congratulations may be the most important factor in good 421 00:22:51,640 --> 00:22:54,679 Speaker 5: old American left wing politics. I'm not talking about like 422 00:22:54,760 --> 00:22:56,520 Speaker 5: Jay Guavera Marxist politics. 423 00:22:56,560 --> 00:22:59,520 Speaker 2: I'm talking about we need to help the downtrodden. Let's 424 00:22:59,560 --> 00:23:00,439 Speaker 2: not blame the victims. 425 00:23:00,480 --> 00:23:02,920 Speaker 5: We have to have programs and plays, blah blah blah, 426 00:23:02,960 --> 00:23:08,480 Speaker 5: well meaning folks, but their own self congratulations is all 427 00:23:08,600 --> 00:23:14,440 Speaker 5: they require. If they feel that emotional feeling that they're 428 00:23:14,480 --> 00:23:17,840 Speaker 5: looking for, they don't bother with any follow up. They 429 00:23:17,840 --> 00:23:21,400 Speaker 5: don't care about any follow up. In fact, follow up 430 00:23:21,560 --> 00:23:25,320 Speaker 5: ruins their buzz going through the accounting and realizing, oh 431 00:23:25,320 --> 00:23:28,080 Speaker 5: my god, there's waste, fraud and abuse in this program. 432 00:23:28,160 --> 00:23:30,119 Speaker 5: Holy cow. We got to roll up our sleeves, take 433 00:23:30,160 --> 00:23:31,400 Speaker 5: a deep breath, and get to work. 434 00:23:31,200 --> 00:23:34,160 Speaker 2: Because this is bad. No that kills their buzz. 435 00:23:35,080 --> 00:23:35,280 Speaker 5: God. 436 00:23:35,320 --> 00:23:37,240 Speaker 3: We always talk about the spending is the point because 437 00:23:37,280 --> 00:23:42,040 Speaker 3: it goes to you know, connected people, cronies, whatever, you know, 438 00:23:42,160 --> 00:23:45,080 Speaker 3: family members that are on fake boards. I'm surprised those 439 00:23:45,119 --> 00:23:50,080 Speaker 3: people don't out the fraud more like hey, you know 440 00:23:50,200 --> 00:23:53,040 Speaker 3: Biden families or whatever. It's saying, hey, hey, hey, that 441 00:23:53,200 --> 00:23:56,320 Speaker 3: million dollars went to some criminal in China. It's supposed 442 00:23:56,320 --> 00:23:58,359 Speaker 3: to go to my uncle who's on this fake board. 443 00:23:59,440 --> 00:24:00,639 Speaker 2: They're not drag of it. 444 00:24:01,680 --> 00:24:03,600 Speaker 5: Yeah, I mean, they wouldn't say that out loud, but 445 00:24:03,640 --> 00:24:07,120 Speaker 5: you'd think, yeah, they'd become anti waste activists, although they would. 446 00:24:06,880 --> 00:24:07,840 Speaker 2: Be caught in their own web. 447 00:24:08,080 --> 00:24:12,280 Speaker 5: I think so they can't a little more from Linda Miller, 448 00:24:12,520 --> 00:24:14,040 Speaker 5: righteous speaker of truth. 449 00:24:14,560 --> 00:24:16,680 Speaker 7: The most egregious part is that a lot of the 450 00:24:16,680 --> 00:24:20,200 Speaker 7: people who stole that money were foreign adversarial nation states. 451 00:24:20,440 --> 00:24:21,080 Speaker 2: So who are they? 452 00:24:21,080 --> 00:24:23,200 Speaker 7: Who are you talking about We're talking about China, We're 453 00:24:23,200 --> 00:24:27,320 Speaker 7: talking about Russia, impersonating Americans in a lot of cases. 454 00:24:27,560 --> 00:24:28,200 Speaker 2: That's right. 455 00:24:28,320 --> 00:24:32,479 Speaker 5: We are enriching Shesi in Pang and vlad Putin and 456 00:24:32,520 --> 00:24:35,160 Speaker 5: his gutons and oligarchs even as we're opposing them. 457 00:24:35,320 --> 00:24:36,560 Speaker 2: This FBI guy roll on. 458 00:24:37,200 --> 00:24:40,600 Speaker 10: These are arguably digital gangs in the twenty first century 459 00:24:41,080 --> 00:24:43,760 Speaker 10: that are built off of having safe haven stass meaning 460 00:24:43,800 --> 00:24:46,240 Speaker 10: their governments are not going to interrupt their activity even 461 00:24:46,280 --> 00:24:47,040 Speaker 10: if it's illegal. 462 00:24:48,240 --> 00:24:51,000 Speaker 2: And then get a cut, the government's get a cut. 463 00:24:51,520 --> 00:24:56,600 Speaker 3: And then this I find this particularly fantastic because we. 464 00:24:56,640 --> 00:25:01,919 Speaker 2: All if we hold on, sorry about the ball. 465 00:25:03,720 --> 00:25:05,760 Speaker 3: If we have to give our social security number, we 466 00:25:05,800 --> 00:25:08,040 Speaker 3: look around, we make sure nobody hears it. If we 467 00:25:08,080 --> 00:25:10,200 Speaker 3: have to kid into a pin we put our hand 468 00:25:10,240 --> 00:25:13,320 Speaker 3: over the pin pad so nobody possibly sees our social 469 00:25:13,320 --> 00:25:15,879 Speaker 3: security because the most important thing, you know, so make 470 00:25:15,960 --> 00:25:18,320 Speaker 3: sure nobody gets a hold of your social Security number. 471 00:25:18,320 --> 00:25:19,280 Speaker 2: That's from sixty minutes. 472 00:25:19,480 --> 00:25:23,160 Speaker 9: Brian Vorandrin is head of the FBI's Cyber Division. He says, 473 00:25:23,200 --> 00:25:26,520 Speaker 9: these digital gangs are armed with a very important weapon. 474 00:25:26,880 --> 00:25:29,919 Speaker 9: Is it true that the social security number of just 475 00:25:29,960 --> 00:25:33,400 Speaker 9: about every single American is available for sale on. 476 00:25:33,359 --> 00:25:35,320 Speaker 2: The dark web? That is a truth tape. 477 00:25:35,600 --> 00:25:40,240 Speaker 10: All of our person identifiable information named data, birth, former addresses, 478 00:25:40,280 --> 00:25:42,879 Speaker 10: social security number is available in the dark net and 479 00:25:42,920 --> 00:25:44,080 Speaker 10: can likely be purchased. 480 00:25:44,240 --> 00:25:44,919 Speaker 2: That's chilling. 481 00:25:45,359 --> 00:25:47,560 Speaker 10: Yeah, it's very much a way of our lives so 482 00:25:47,720 --> 00:25:49,040 Speaker 10: right now and purchased. 483 00:25:49,080 --> 00:25:51,320 Speaker 2: I hear for as little as two bucks apiece. Yep, 484 00:25:51,920 --> 00:25:54,080 Speaker 2: very affordable. What the hell? 485 00:25:56,840 --> 00:25:59,920 Speaker 5: If it can be hacked, it will be hacked, or 486 00:26:00,160 --> 00:26:01,760 Speaker 5: more likely has been hacked. 487 00:26:02,600 --> 00:26:03,720 Speaker 2: What the hell? 488 00:26:04,560 --> 00:26:07,280 Speaker 3: And they had an example of an old couple and 489 00:26:07,600 --> 00:26:10,760 Speaker 3: who lost their home in the Palisades area of Los 490 00:26:10,800 --> 00:26:14,560 Speaker 3: Angeles and went to apply for their FEMA money, and 491 00:26:14,640 --> 00:26:19,040 Speaker 3: somebody had already grabbed it using their address, name, social 492 00:26:19,040 --> 00:26:21,439 Speaker 3: security number, all their data had already grabbed their money, 493 00:26:21,680 --> 00:26:24,000 Speaker 3: so they grabbed their money. Now they're going through the 494 00:26:24,680 --> 00:26:30,040 Speaker 3: I can't imagine paperwork headache of trying to straighten that 495 00:26:30,119 --> 00:26:33,119 Speaker 3: out and get the money that they're owed by these 496 00:26:33,160 --> 00:26:37,480 Speaker 3: various programs that we support because some you know, Chinese, Russian, 497 00:26:37,480 --> 00:26:38,880 Speaker 3: whoever actors stole it. 498 00:26:42,440 --> 00:26:45,320 Speaker 5: Well, I don't mean to drive everybody to murderous rage. 499 00:26:45,359 --> 00:26:48,199 Speaker 5: But what's especially frustrating about all of this and all 500 00:26:48,240 --> 00:26:50,600 Speaker 5: of these dollar figures is that, remember, you got to 501 00:26:50,720 --> 00:26:54,320 Speaker 5: tack on interest because we're borrowing that money. 502 00:26:54,600 --> 00:26:58,800 Speaker 2: We didn't have it. It wasn't in our wallets. We've 503 00:26:58,800 --> 00:27:00,879 Speaker 2: got to run to the bank and borrow it. Now, 504 00:27:03,280 --> 00:27:05,320 Speaker 2: one more clippon, then we'll fill in some dots on 505 00:27:05,359 --> 00:27:05,840 Speaker 2: this story. 506 00:27:06,320 --> 00:27:09,400 Speaker 9: Last year, the FBI unraveled one of the largest digital 507 00:27:09,440 --> 00:27:13,200 Speaker 9: fraud cases in US history, in which cyber criminals from 508 00:27:13,240 --> 00:27:17,240 Speaker 9: around the world use stolen identities to pocket six billion 509 00:27:17,320 --> 00:27:19,720 Speaker 9: dollars in pandemic unemployment funds. 510 00:27:20,240 --> 00:27:23,439 Speaker 10: Six billion dollars is an enormous, enormous amount of money. 511 00:27:23,600 --> 00:27:26,240 Speaker 2: Why is the government a target for this type of. 512 00:27:26,160 --> 00:27:29,040 Speaker 10: Fraud because of the massive amount of money that exists 513 00:27:29,080 --> 00:27:32,119 Speaker 10: in the federal government and in the state government, and. 514 00:27:32,000 --> 00:27:34,800 Speaker 5: The utter lack of interest in protecting it in a 515 00:27:34,840 --> 00:27:37,600 Speaker 5: significant way, especially if it gets in the way of 516 00:27:37,720 --> 00:27:41,640 Speaker 5: handing out scads of money and thereby winning votes. 517 00:27:42,880 --> 00:27:46,200 Speaker 3: So, just so you have this takeaway, this Linda Miller 518 00:27:46,240 --> 00:27:48,439 Speaker 3: person who's been doing this for her career and is 519 00:27:48,480 --> 00:27:51,640 Speaker 3: so frustrated that nobody's been paying any attention, says, we're 520 00:27:51,640 --> 00:27:57,080 Speaker 3: approaching three quarters of a trillion per year that gets stolen, 521 00:27:57,160 --> 00:28:00,960 Speaker 3: mostly by foreign countries, and just from the COVID relief money. 522 00:28:01,160 --> 00:28:03,760 Speaker 3: When that was just flying around, like she said, it's 523 00:28:03,800 --> 00:28:05,679 Speaker 3: like they threw it up in the air and anybody 524 00:28:05,680 --> 00:28:09,080 Speaker 3: could run and grab it, she says, is probably about 525 00:28:09,119 --> 00:28:15,240 Speaker 3: a trillion of it was stolen, a trillion dollars, and 526 00:28:15,280 --> 00:28:17,280 Speaker 3: as the FBI guy said, we're never going to get 527 00:28:17,320 --> 00:28:23,720 Speaker 3: it back. There's no recovering this money, a trillion dollars. 528 00:28:25,359 --> 00:28:28,119 Speaker 5: If we had a king, the prisons would be full 529 00:28:28,240 --> 00:28:34,760 Speaker 5: of the bureaucrats who allowed this to happen monarchy now. 530 00:28:33,800 --> 00:28:35,680 Speaker 2: Story, let's just call it good. 531 00:28:36,000 --> 00:28:38,760 Speaker 3: How's this not like a big enough story for an 532 00:28:38,920 --> 00:28:40,800 Speaker 3: entire party to emerge around. 533 00:28:43,800 --> 00:28:45,560 Speaker 5: I just think the other side of the coin is 534 00:28:45,560 --> 00:28:48,920 Speaker 5: so attractive to people, particularly low information voters. We're going 535 00:28:49,000 --> 00:28:51,600 Speaker 5: to give you stuff. That's the party for me. Right there, 536 00:28:51,680 --> 00:28:52,240 Speaker 5: that guy. 537 00:28:52,120 --> 00:28:56,640 Speaker 3: Said, he do you stuff my media nitpicking just to 538 00:28:56,640 --> 00:28:58,040 Speaker 3: get it out of my system? 539 00:28:58,360 --> 00:28:58,720 Speaker 2: Is that. 540 00:29:00,640 --> 00:29:03,720 Speaker 3: Cecilia Vega woman right at the very beginning of the 541 00:29:03,760 --> 00:29:07,680 Speaker 3: story had to throw in Elon Musk over states how 542 00:29:07,800 --> 00:29:12,920 Speaker 3: much waste there is, doesn't he and the woman said, yeah, 543 00:29:13,040 --> 00:29:16,480 Speaker 3: he does. So they had to throw out this red 544 00:29:16,600 --> 00:29:20,600 Speaker 3: herring for their lefty viewer. Elon Musk isn't for the 545 00:29:20,680 --> 00:29:22,920 Speaker 3: We're not saying he's perfect or everything. 546 00:29:22,560 --> 00:29:23,320 Speaker 2: He did was good. 547 00:29:23,640 --> 00:29:26,000 Speaker 3: Before we get to the biggest story you're gonna hear 548 00:29:26,040 --> 00:29:29,200 Speaker 3: this weekend that a trillion dollars was stolen from the 549 00:29:29,320 --> 00:29:32,000 Speaker 3: gun of Elon Musk's numbers are fast and loose. 550 00:29:32,040 --> 00:29:34,640 Speaker 2: On the other hand, this story that's really barely related. 551 00:29:35,080 --> 00:29:37,400 Speaker 3: Nice red herring, you had to throw in there for 552 00:29:37,440 --> 00:29:41,000 Speaker 3: some reason to satisfy your. 553 00:29:41,320 --> 00:29:44,000 Speaker 2: Lefty view I mean, what the hell was that that 554 00:29:44,040 --> 00:29:45,040 Speaker 2: makes me so angry. 555 00:29:45,600 --> 00:29:48,280 Speaker 5: I wonder if they like edited the story together and 556 00:29:48,360 --> 00:29:52,320 Speaker 5: somebody said, hey, this really comes off as supporting road 557 00:29:52,520 --> 00:29:55,440 Speaker 5: and eliminating waste, fraud and abuse. We probably ought to 558 00:29:55,440 --> 00:29:59,920 Speaker 5: throw in something for our soft headed again self congratulate 559 00:30:00,040 --> 00:30:02,040 Speaker 5: Tory dumb ass viewers. 560 00:30:02,320 --> 00:30:05,120 Speaker 2: That was uncharitable, and I apologize for it. That's what 561 00:30:05,160 --> 00:30:05,800 Speaker 2: it was I got. 562 00:30:05,880 --> 00:30:08,000 Speaker 3: I got the thumbs down Friday from a girl in 563 00:30:08,040 --> 00:30:09,800 Speaker 3: the crosswalk in my university town. 564 00:30:10,000 --> 00:30:12,360 Speaker 2: I was in my cyberbeast. She's walking in front of me, 565 00:30:12,360 --> 00:30:14,200 Speaker 2: and she looks at me and she gives me the 566 00:30:14,240 --> 00:30:18,840 Speaker 2: two thumbs down as she walks across. No disapproval. 567 00:30:19,160 --> 00:30:24,000 Speaker 3: This privileged college girl at an expensive university in an 568 00:30:24,040 --> 00:30:26,600 Speaker 3: expensive town unhappy with Elon Musk. 569 00:30:26,640 --> 00:30:28,560 Speaker 2: So yeah, that's what Minutes had to do. They had 570 00:30:28,560 --> 00:30:31,000 Speaker 2: to throw in a little Elon's not perfect. 571 00:30:31,040 --> 00:30:34,080 Speaker 3: But now back to a very very big important story 572 00:30:34,080 --> 00:30:35,120 Speaker 3: that everybody should know. 573 00:30:35,560 --> 00:30:39,160 Speaker 2: A trillion dollars got stolen, right right. 574 00:30:39,440 --> 00:30:42,000 Speaker 5: I like how they sand I'm sorry, I'm hung up 575 00:30:42,040 --> 00:30:44,640 Speaker 5: on the cars. I like how the same people who 576 00:30:44,720 --> 00:30:49,920 Speaker 5: are keying SUVs five years ago are now keying electric vehicles. 577 00:30:50,040 --> 00:30:54,000 Speaker 5: Just the important part is they're an angry activist and 578 00:30:54,120 --> 00:30:58,480 Speaker 5: a revolutionary and they're gonna fight the power, and it'll 579 00:30:58,520 --> 00:31:00,720 Speaker 5: be a different power, completely opposite in. 580 00:31:00,720 --> 00:31:02,840 Speaker 2: Five more years. Because all I want to do is 581 00:31:02,880 --> 00:31:06,000 Speaker 2: be angry and self francious. I can't think I'm stupid. 582 00:31:06,600 --> 00:31:08,560 Speaker 3: I wanted to roll down my window and say, you know, 583 00:31:08,680 --> 00:31:11,440 Speaker 3: I have no opinion on what you drive your whole life. 584 00:31:11,440 --> 00:31:14,840 Speaker 3: Whatever you drive, doesn't make any difference to me whatsoever. 585 00:31:14,480 --> 00:31:18,000 Speaker 2: Anyway, honest, fine, make you right, I tell you what. 586 00:31:18,400 --> 00:31:20,520 Speaker 5: All right, here's a little, uh, here's a little I 587 00:31:20,520 --> 00:31:22,920 Speaker 5: had a slice of key lime pie last night, and 588 00:31:22,960 --> 00:31:24,040 Speaker 5: I love key lime pie. 589 00:31:24,120 --> 00:31:26,640 Speaker 2: Here's a little dessert for you. Michael. We're gonna go 590 00:31:26,760 --> 00:31:30,200 Speaker 2: up to the uh, the rando section. Oh, this is 591 00:31:30,280 --> 00:31:31,040 Speaker 2: this is great. 592 00:31:31,600 --> 00:31:35,080 Speaker 5: Here is a dad who does a great Joe Biden 593 00:31:36,320 --> 00:31:39,240 Speaker 5: and he's he's literally working on the meat on the grill. 594 00:31:40,000 --> 00:31:42,560 Speaker 5: This is a clip fifteen Michael and his daughter comes 595 00:31:42,640 --> 00:31:43,800 Speaker 5: up to him and says. 596 00:31:44,000 --> 00:31:48,520 Speaker 2: He does do an impression of Joe Biden. Explaining the 597 00:31:48,560 --> 00:31:49,960 Speaker 2: plot to Star Wars. 598 00:31:50,520 --> 00:31:54,640 Speaker 11: So there's a there's a galic galaxy Kirk on the 599 00:31:54,720 --> 00:31:57,640 Speaker 11: side of that. No, no, A long long time ago, 600 00:31:58,040 --> 00:32:05,520 Speaker 11: back back back when I I was working full time. Anyway, 601 00:32:05,520 --> 00:32:08,080 Speaker 11: I was ahead of the embassy. It doesn't matter long 602 00:32:09,280 --> 00:32:12,040 Speaker 11: far far away. It was galaxy and there were robots. 603 00:32:12,640 --> 00:32:16,080 Speaker 11: The robots, they were not the droids. You were really 604 00:32:16,120 --> 00:32:16,600 Speaker 11: good for me. 605 00:32:18,920 --> 00:32:20,800 Speaker 2: Come on, that's pretty good. 606 00:32:22,240 --> 00:32:22,480 Speaker 4: Boy. 607 00:32:22,760 --> 00:32:24,720 Speaker 5: So the whole bringing your whole south to work is 608 00:32:24,760 --> 00:32:26,560 Speaker 5: turned into shut up and get to work. 609 00:32:26,880 --> 00:32:30,600 Speaker 2: In the blink of an eye. That story next. 610 00:32:30,920 --> 00:32:33,680 Speaker 1: He yetie classes that years ago were pushed to the 611 00:32:33,760 --> 00:32:37,240 Speaker 1: side in favor of coursework, prioritizing test scores and stem 612 00:32:37,240 --> 00:32:40,080 Speaker 1: now seen as a huge opportunity. According to one survey, 613 00:32:40,200 --> 00:32:42,400 Speaker 1: sixty six percent of all high schools now off for 614 00:32:42,520 --> 00:32:46,719 Speaker 1: career education, and it's being driven by economic demand. I 615 00:32:46,800 --> 00:32:50,160 Speaker 1: have construction companies and I have other employers coming to 616 00:32:50,240 --> 00:32:53,520 Speaker 1: me wanting students right out of high school to be 617 00:32:53,640 --> 00:32:54,440 Speaker 1: career ready. 618 00:32:54,760 --> 00:32:56,040 Speaker 2: We need employees. 619 00:32:57,160 --> 00:32:59,440 Speaker 5: Yeah, we had a story last week about kids being 620 00:32:59,520 --> 00:33:02,280 Speaker 5: recruited straight out of high school for like, you know, 621 00:33:02,280 --> 00:33:04,720 Speaker 5: seventy five thousand dollars a year jobs in welding and 622 00:33:04,720 --> 00:33:09,000 Speaker 5: that sort of thing. Interesting how that's turned culturally, speaking 623 00:33:09,000 --> 00:33:12,640 Speaker 5: of which, you know, it's it's partly the change, the 624 00:33:12,680 --> 00:33:13,320 Speaker 5: amount of change. 625 00:33:13,320 --> 00:33:15,920 Speaker 2: It's making everybody crazy these days. It's also the pace 626 00:33:16,040 --> 00:33:16,720 Speaker 2: of change. 627 00:33:16,960 --> 00:33:18,880 Speaker 5: Like I remember, it wasn't very long ago that we 628 00:33:18,880 --> 00:33:22,480 Speaker 5: were telling the youngsters who were like bringing their whole 629 00:33:22,520 --> 00:33:26,440 Speaker 5: selves to work and taking spirit days and the rest 630 00:33:26,440 --> 00:33:28,520 Speaker 5: of it. I mean, because it seemed like employees had 631 00:33:28,760 --> 00:33:29,760 Speaker 5: all the power and. 632 00:33:29,760 --> 00:33:33,160 Speaker 3: There was that employees get to it Monday and I'll 633 00:33:33,200 --> 00:33:36,760 Speaker 3: work half a day Tuesday and take Fridays off. 634 00:33:36,840 --> 00:33:38,120 Speaker 2: I demand fury. 635 00:33:38,000 --> 00:33:41,360 Speaker 5: Past two on Friday. Yeah, and we're trying to tell you, 636 00:33:41,400 --> 00:33:46,040 Speaker 5: trust us, this will not last. Well, it has not, 637 00:33:46,040 --> 00:33:49,600 Speaker 5: not long ago. Everybody's replaceable. As the headline the story 638 00:33:49,880 --> 00:33:52,920 Speaker 5: the new way bosses talk about workers not long ago, 639 00:33:52,960 --> 00:33:56,480 Speaker 5: bosses routinely praised workers as their most prized asset. 640 00:33:56,840 --> 00:33:58,080 Speaker 2: Today with a giant. 641 00:33:57,840 --> 00:34:00,880 Speaker 5: Question mark hanging over the economy less today after the 642 00:34:01,680 --> 00:34:05,280 Speaker 5: temporary maybe you trade deal with China, But executives are 643 00:34:05,400 --> 00:34:08,400 Speaker 5: pulling punches, pulling no punches and saying employees need to 644 00:34:08,400 --> 00:34:10,640 Speaker 5: work harder, complain lesson, be glad they. 645 00:34:10,480 --> 00:34:11,080 Speaker 2: Have a job. 646 00:34:11,400 --> 00:34:15,000 Speaker 5: How work life balance is your problem, said Emma is 647 00:34:15,040 --> 00:34:18,440 Speaker 5: it's greed or Gridae or something. Emma Greed is not 648 00:34:18,560 --> 00:34:21,200 Speaker 5: a good name for this article, but she's the co 649 00:34:21,280 --> 00:34:24,400 Speaker 5: founder of the Skims shapewear company. 650 00:34:24,760 --> 00:34:28,800 Speaker 3: I should ask my dad how many times in employers 651 00:34:28,920 --> 00:34:31,960 Speaker 3: seemed concerned about his work life balance when he was 652 00:34:32,000 --> 00:34:34,520 Speaker 3: a young man out there starting his. 653 00:34:34,600 --> 00:34:39,080 Speaker 5: Work life balance is your problem, she said. Starbucks, after 654 00:34:39,080 --> 00:34:41,400 Speaker 5: cutting in more than a thousand jobs, there's a new CEO, 655 00:34:41,480 --> 00:34:44,759 Speaker 5: Brian Nichols said, remaining corporate staff need to step it 656 00:34:44,840 --> 00:34:47,560 Speaker 5: up her own and own whether or not this place grows. 657 00:34:48,360 --> 00:34:52,200 Speaker 5: Jamie Diamond, in a profanity laced internal meeting, told employees 658 00:34:52,280 --> 00:34:54,759 Speaker 5: lamenting a return to work mandate that he didn't care. 659 00:34:54,960 --> 00:34:56,520 Speaker 5: I've had it with this kind of stuff. I've been 660 00:34:56,520 --> 00:34:58,080 Speaker 5: working seven days a week since COVID. 661 00:34:58,120 --> 00:35:01,719 Speaker 2: I come in. Where is everybody else? Man? 662 00:35:01,760 --> 00:35:05,080 Speaker 3: If you can concern yourself with work life balance, you 663 00:35:05,080 --> 00:35:08,799 Speaker 3: should consider yourself among the more privileged workers in the 664 00:35:09,000 --> 00:35:12,479 Speaker 3: history of work on planets Earth. If it is even 665 00:35:12,480 --> 00:35:16,080 Speaker 3: an option, that means you've got shelter and enough food, 666 00:35:16,560 --> 00:35:20,040 Speaker 3: and you can start to decide, you know how much 667 00:35:20,280 --> 00:35:20,919 Speaker 3: do I need? 668 00:35:21,560 --> 00:35:22,160 Speaker 2: Right right? 669 00:35:22,200 --> 00:35:24,200 Speaker 5: And that's not to say it's a bad idea or 670 00:35:24,280 --> 00:35:27,200 Speaker 5: you shouldn't. You just have to keep it in perspective. 671 00:35:27,960 --> 00:35:30,080 Speaker 5: The shift in tone marks a shift in power. Now 672 00:35:30,120 --> 00:35:32,800 Speaker 5: the companies are shrinking their white collar staff with jobs 673 00:35:32,800 --> 00:35:35,840 Speaker 5: harder to find, many workers are seeing pricks disappear and 674 00:35:35,840 --> 00:35:38,080 Speaker 5: their grievance is ignored, or. 675 00:35:38,080 --> 00:35:40,480 Speaker 3: That if you don't have the luxury of being concerned 676 00:35:40,520 --> 00:35:43,080 Speaker 3: about work life balance, that you're somehow unique in the 677 00:35:43,160 --> 00:35:44,600 Speaker 3: history of working. 678 00:35:45,239 --> 00:35:48,919 Speaker 2: Right right, yeah, Oh, let's see again. 679 00:35:48,920 --> 00:35:51,759 Speaker 3: How many of our parents ever had the ever had 680 00:35:51,760 --> 00:35:52,880 Speaker 3: it crossed their mind? 681 00:35:53,840 --> 00:35:57,480 Speaker 5: And and interestingly, they mentioned a twenty twenty three episode 682 00:35:57,520 --> 00:36:01,399 Speaker 5: where this one company told staffers leave pitty City. Well, 683 00:36:01,440 --> 00:36:04,560 Speaker 5: that comment, made in a video call, immediately went viral, 684 00:36:04,680 --> 00:36:08,760 Speaker 5: sparking days of headlines and worker backlash. The CEO quickly 685 00:36:08,800 --> 00:36:11,080 Speaker 5: apologized set her comments were insensitive. 686 00:36:11,320 --> 00:36:17,200 Speaker 2: Now it's like they're all saying it. Wow, huh. See 687 00:36:17,239 --> 00:36:18,200 Speaker 2: how long this lasts? 688 00:36:18,760 --> 00:36:20,560 Speaker 3: If you missed a second mee get the podcast Armstrong 689 00:36:20,560 --> 00:36:23,160 Speaker 3: and Getty on demand Armstrong and Getty