1 00:00:06,200 --> 00:00:08,640 Speaker 1: What's up, guys. Welcome to the Rogue Recap, and I 2 00:00:08,720 --> 00:00:11,720 Speaker 1: am super stoked today because I have my first ever guest. 3 00:00:12,280 --> 00:00:15,319 Speaker 1: He is super snarky. He's way snarkier than me, which 4 00:00:15,360 --> 00:00:17,000 Speaker 1: is part of the reason why we're such good friends, 5 00:00:17,040 --> 00:00:21,280 Speaker 1: right because people like me we need to find competition 6 00:00:21,440 --> 00:00:25,920 Speaker 1: in conversation. Who can say the next quippiest, funniest thing 7 00:00:26,000 --> 00:00:28,680 Speaker 1: and who knows more and what I can say I 8 00:00:28,680 --> 00:00:31,080 Speaker 1: have no pride in. This is the next person I 9 00:00:31,080 --> 00:00:33,960 Speaker 1: am introducing here, mister Eric Eggers. He is the vice 10 00:00:33,960 --> 00:00:37,519 Speaker 1: president of the Government Accountability Institute. He is co host 11 00:00:37,600 --> 00:00:41,120 Speaker 1: of The Drill Down he is. He is a movie 12 00:00:41,159 --> 00:00:44,840 Speaker 1: producer and director and writer of The Creepy Line, which 13 00:00:44,840 --> 00:00:47,720 Speaker 1: predicted the twenty twenty election in twenty eighteen, which is 14 00:00:47,720 --> 00:00:50,400 Speaker 1: super weird. I don't know. Maybe he's also a telepath 15 00:00:50,560 --> 00:00:52,640 Speaker 1: or like a psychic. I'm not sure. There might be 16 00:00:52,680 --> 00:00:55,920 Speaker 1: some questions there, but he's just a connoisseur of all 17 00:00:55,960 --> 00:00:58,880 Speaker 1: things smarty pants. We're super excited to have him here. Welcome, 18 00:00:58,920 --> 00:00:59,520 Speaker 1: mister Eggers. 19 00:01:00,080 --> 00:01:02,040 Speaker 2: You are absolutely correct that I do have a host 20 00:01:02,160 --> 00:01:05,160 Speaker 2: of personal deficiencies that I hope to make very public 21 00:01:05,520 --> 00:01:08,360 Speaker 2: in your podcast today. I was actually wondering, like, am 22 00:01:08,400 --> 00:01:11,440 Speaker 2: I the first guests she's ever had a show? So 23 00:01:11,480 --> 00:01:15,200 Speaker 2: that makes me like the Jackie Robinson of your podcast. 24 00:01:15,240 --> 00:01:18,080 Speaker 2: It makes me like the Barack Obama. I cannot wait 25 00:01:18,120 --> 00:01:22,360 Speaker 2: to exploit my new position as a barrier breaker in 26 00:01:22,440 --> 00:01:23,320 Speaker 2: this podcast space. 27 00:01:23,360 --> 00:01:24,080 Speaker 3: Thank you. 28 00:01:24,080 --> 00:01:25,679 Speaker 1: You know the world is a hot mess. I say this, 29 00:01:26,000 --> 00:01:29,080 Speaker 1: you know every podcast. I'm like, there's no shortage of news, 30 00:01:29,760 --> 00:01:32,640 Speaker 1: but there really isn't. It gets to a point even 31 00:01:32,680 --> 00:01:34,919 Speaker 1: for people like you and I who work in news, 32 00:01:35,560 --> 00:01:37,240 Speaker 1: and for those of you listening. You know, Eric and 33 00:01:37,280 --> 00:01:39,840 Speaker 1: I've been friends a long time, and he really and 34 00:01:39,840 --> 00:01:42,880 Speaker 1: truly is a savant. The guy knows things like I 35 00:01:42,920 --> 00:01:45,280 Speaker 1: really like Jeopardy and I love Alex Trebeck and then 36 00:01:45,280 --> 00:01:46,880 Speaker 1: I was like, wait, I'll just be friends with Eggers 37 00:01:46,920 --> 00:01:50,040 Speaker 1: because that's just like walking Jeopardy. He knows tons of 38 00:01:50,040 --> 00:01:51,720 Speaker 1: things and you're like, how do you know that? And 39 00:01:51,760 --> 00:01:53,760 Speaker 1: he just whips them out. I'm like, I don't get it. 40 00:01:53,760 --> 00:01:58,080 Speaker 1: It's weird. So, but he has sort of a wealth 41 00:01:58,080 --> 00:02:01,640 Speaker 1: of knowledge about where the money comes from, where's the 42 00:02:01,720 --> 00:02:06,600 Speaker 1: sourcing from, who's actually behind all these terrible things. So 43 00:02:06,800 --> 00:02:09,280 Speaker 1: I really wanted to talk to him today. Not just 44 00:02:09,320 --> 00:02:14,520 Speaker 1: to bash all these these lunatics in LA and now, Eric, right, 45 00:02:14,520 --> 00:02:17,840 Speaker 1: what is it Austin, Chicago's everywhere. 46 00:02:17,880 --> 00:02:19,440 Speaker 3: It's it's crazy. It literally is. 47 00:02:19,600 --> 00:02:19,760 Speaker 1: You know. 48 00:02:19,800 --> 00:02:22,320 Speaker 2: I took my son to see the new Mission Impossible 49 00:02:22,360 --> 00:02:27,360 Speaker 2: film because it and it's really good. I mean, it's it. 50 00:02:27,160 --> 00:02:29,240 Speaker 2: It depends on how you want to consume things. It's 51 00:02:29,280 --> 00:02:34,720 Speaker 2: a little wokey in some stuff, but as a as 52 00:02:34,760 --> 00:02:37,920 Speaker 2: a piece of like fun popcorn movie that stunts are crazy, 53 00:02:38,480 --> 00:02:40,280 Speaker 2: it's cool. But the point of it is is like 54 00:02:40,320 --> 00:02:43,799 Speaker 2: it starts with there is no truth, the world's on fire, 55 00:02:43,960 --> 00:02:46,360 Speaker 2: everyone's mad at everybody, and it's like the stuff they 56 00:02:46,360 --> 00:02:48,480 Speaker 2: show is like, wait, no, that's Los Angeles, guys. 57 00:02:48,240 --> 00:02:51,400 Speaker 3: Like that is literally what we're seeing. Uh, And it is. 58 00:02:51,480 --> 00:02:54,959 Speaker 2: It is bizarrely predictive of what we actually now consume 59 00:02:55,000 --> 00:02:58,440 Speaker 2: as actual reality. It's terrifying, but it's great if you're 60 00:02:58,440 --> 00:03:00,400 Speaker 2: in the news business. Also, just want a quick fact checked. 61 00:03:00,680 --> 00:03:02,480 Speaker 2: I'm not a savant. It's a mistake a lot of 62 00:03:02,480 --> 00:03:06,400 Speaker 2: people make. I'm just socially awkward and so you know, 63 00:03:07,200 --> 00:03:08,560 Speaker 2: as your audience is about to find. 64 00:03:08,360 --> 00:03:11,760 Speaker 1: Out, well, I think you know. One of the things 65 00:03:11,800 --> 00:03:13,960 Speaker 1: I find really funny in this business, and you and 66 00:03:13,960 --> 00:03:16,160 Speaker 1: I are both in it. You know, we both worked 67 00:03:16,160 --> 00:03:19,320 Speaker 1: in radio, we both worked in TV and podcasting and 68 00:03:19,680 --> 00:03:23,080 Speaker 1: documentaries and worked on books. And I think in each 69 00:03:23,120 --> 00:03:26,280 Speaker 1: of these spectrums of media, when you're trying to give 70 00:03:26,960 --> 00:03:30,079 Speaker 1: your audience something to consume, you're really trying to give 71 00:03:30,080 --> 00:03:33,720 Speaker 1: them something they can't get anywhere else. Typically in our business, 72 00:03:33,720 --> 00:03:37,280 Speaker 1: that's the truth. People are true, they're having a hard 73 00:03:37,320 --> 00:03:38,880 Speaker 1: time with the truth. 74 00:03:39,520 --> 00:03:42,080 Speaker 2: Or just or how about a perspective that's true, right, 75 00:03:42,120 --> 00:03:45,080 Speaker 2: a perspective that's true that you're not really allowed to 76 00:03:45,560 --> 00:03:49,680 Speaker 2: or there's not space to have. I remember thinking in 77 00:03:49,760 --> 00:03:52,320 Speaker 2: twenty twenty and reading about so I wrote a book 78 00:03:52,440 --> 00:03:54,880 Speaker 2: in twenty eighteen called Fraud, How the Left Plans to 79 00:03:54,880 --> 00:03:57,600 Speaker 2: Steal the next election, and you know, talked about all 80 00:03:57,600 --> 00:04:01,600 Speaker 2: the vulnerabilities and electoral system and everything. I really did 81 00:04:01,600 --> 00:04:04,440 Speaker 2: think that Donald Trump would win the election in twenty twenty, 82 00:04:04,480 --> 00:04:06,880 Speaker 2: even though the polls showed he. 83 00:04:06,760 --> 00:04:07,360 Speaker 3: Was sort of losing. 84 00:04:07,440 --> 00:04:08,840 Speaker 2: But one of the reasons why I thought that is 85 00:04:09,240 --> 00:04:11,440 Speaker 2: there was all these studies that showed that no one 86 00:04:11,520 --> 00:04:15,200 Speaker 2: felt comfortable he'd been so demonized and vilified for four 87 00:04:15,280 --> 00:04:18,400 Speaker 2: years that people that wanted to support him didn't feel 88 00:04:18,440 --> 00:04:21,800 Speaker 2: like they could because there'd be a very real societal cost. 89 00:04:21,839 --> 00:04:23,680 Speaker 2: And that was like happening in the context of like 90 00:04:23,720 --> 00:04:26,000 Speaker 2: COVID and like you allowed to actually live your life 91 00:04:26,040 --> 00:04:31,520 Speaker 2: because your very existence, as endorsed by government policy was 92 00:04:31,560 --> 00:04:34,880 Speaker 2: a threat to other people, and other people were encouraged 93 00:04:34,920 --> 00:04:37,479 Speaker 2: to see your existence as a threat, and that obviously 94 00:04:37,480 --> 00:04:40,280 Speaker 2: then transferred to well, if you support the wrong ideas 95 00:04:40,360 --> 00:04:43,080 Speaker 2: the wrong people, then that also was a threat. And 96 00:04:43,400 --> 00:04:45,520 Speaker 2: I think it had kind of helped create some of 97 00:04:45,560 --> 00:04:48,960 Speaker 2: the social frameworks and emotional frameworks for some of the 98 00:04:48,960 --> 00:04:51,960 Speaker 2: stuff that you're now seeing today, which is very unfortunate, 99 00:04:52,040 --> 00:04:54,760 Speaker 2: but you know, maybe not the worst thing in the world. 100 00:04:54,839 --> 00:04:56,880 Speaker 2: It's really bad if you're an American, it's not the 101 00:04:56,880 --> 00:04:57,440 Speaker 2: worst thing in the world. 102 00:04:57,480 --> 00:04:59,240 Speaker 3: If you're in the media business as we are. 103 00:05:00,120 --> 00:05:03,080 Speaker 1: Yeah, I mean the problem with the media businesses is 104 00:05:03,080 --> 00:05:06,479 Speaker 1: it really does love the ratings that all of this 105 00:05:06,600 --> 00:05:11,120 Speaker 1: chaos springs. As a human, as a Christian, I really 106 00:05:11,120 --> 00:05:14,200 Speaker 1: struggle with it, you know, like I think about you know, 107 00:05:14,200 --> 00:05:17,039 Speaker 1: I'm sure you saw that video where there's this woman 108 00:05:17,120 --> 00:05:20,200 Speaker 1: and she's going to work and these two woke Karens 109 00:05:20,200 --> 00:05:23,520 Speaker 1: are blocking her on their bikes with their signs. Dude 110 00:05:24,080 --> 00:05:28,880 Speaker 1: that it's cringe. It's so cringe like. And the best 111 00:05:28,880 --> 00:05:32,560 Speaker 1: part is she actually kind of like tries to like 112 00:05:32,640 --> 00:05:34,479 Speaker 1: mine f them a little bit, right, because she's like, 113 00:05:35,400 --> 00:05:39,039 Speaker 1: I'm black. I'm the person you think you're out here supporting. 114 00:05:39,320 --> 00:05:41,200 Speaker 1: I need to go to work. My child's in my car. 115 00:05:41,400 --> 00:05:44,279 Speaker 1: I have other children, Like please get out of the way, dude. 116 00:05:44,279 --> 00:05:47,120 Speaker 2: And the hippie and the tank tops like work work, 117 00:05:47,720 --> 00:05:55,800 Speaker 2: Like what work is? So is so much less important, right, bro, 118 00:05:56,279 --> 00:05:57,360 Speaker 2: do you even work? 119 00:05:58,320 --> 00:06:01,880 Speaker 1: I mean, honestly, both of those people needed. There was 120 00:06:01,920 --> 00:06:04,360 Speaker 1: another guy. I can't ever play this video because it's 121 00:06:04,400 --> 00:06:07,159 Speaker 1: so wrong, but there is these three black guys in 122 00:06:07,320 --> 00:06:13,000 Speaker 1: LA and they're talking about the one gentleman is explaining 123 00:06:13,040 --> 00:06:14,719 Speaker 1: to his other two friends. And I use the word 124 00:06:14,720 --> 00:06:18,480 Speaker 1: gentleman loosely. You know, they're around this like I don't 125 00:06:18,520 --> 00:06:20,560 Speaker 1: know where. They are in an alley somewhere, and he's 126 00:06:20,600 --> 00:06:22,400 Speaker 1: explaining to them. He's like, you got to go back 127 00:06:22,400 --> 00:06:25,159 Speaker 1: to the sixties when they use the hoses and the dogs. 128 00:06:25,600 --> 00:06:28,920 Speaker 1: The other guy's like, bro, what are you talking about. 129 00:06:29,279 --> 00:06:32,240 Speaker 1: He's like, it's not right, it's not right. You can't 130 00:06:32,240 --> 00:06:34,800 Speaker 1: just come into America and break the laws. And what's 131 00:06:34,839 --> 00:06:40,760 Speaker 1: funny is in his brain as nuanced as his ideas were, 132 00:06:41,600 --> 00:06:46,400 Speaker 1: He's like, America has never been so weak. Never in 133 00:06:46,440 --> 00:06:50,880 Speaker 1: our lives have we seen on live television people taking 134 00:06:52,080 --> 00:06:57,520 Speaker 1: motor bikes and rental bikes and malotov cocktails and rocks 135 00:06:57,560 --> 00:07:01,960 Speaker 1: and throwing them and hurling them, actually making contact with 136 00:07:02,560 --> 00:07:05,760 Speaker 1: law enforcement. All different types of leos too, not just 137 00:07:05,800 --> 00:07:10,960 Speaker 1: like regular police were talking federal agents, ice agents, detectives, dea, 138 00:07:11,680 --> 00:07:13,600 Speaker 1: they don't give a rip. I watched a woman take 139 00:07:13,640 --> 00:07:16,600 Speaker 1: her pocketbook and whack this cop in the face. And 140 00:07:16,640 --> 00:07:19,800 Speaker 1: I'm thinking to myself, when I get pulled over, I 141 00:07:19,880 --> 00:07:25,000 Speaker 1: can't breathe. I cannot imagine. And I think I'm pretty tough, 142 00:07:25,080 --> 00:07:26,840 Speaker 1: like I don't take any crap for anybody, but I 143 00:07:26,880 --> 00:07:29,520 Speaker 1: am not just respectful to our police. 144 00:07:29,200 --> 00:07:32,320 Speaker 3: Like what no I would imagine. 145 00:07:32,480 --> 00:07:34,880 Speaker 2: I try to be very respectful for law enforcement generally, 146 00:07:34,920 --> 00:07:38,280 Speaker 2: but we know when anyone else has a weapon, I'm like, yes, sir, yes, 147 00:07:38,720 --> 00:07:41,000 Speaker 2: and no. But think about what you're talking about, though, 148 00:07:41,000 --> 00:07:43,360 Speaker 2: Like that speaks to what's been happening. 149 00:07:44,880 --> 00:07:45,720 Speaker 3: The summer. 150 00:07:45,960 --> 00:07:46,120 Speaker 4: You know. 151 00:07:46,120 --> 00:07:48,800 Speaker 3: We did a podcast a few weeks ago. 152 00:07:48,800 --> 00:07:50,800 Speaker 2: We talked about the fifth the anniversary of the George 153 00:07:50,800 --> 00:07:52,880 Speaker 2: Floyd riots, and it was the summer of COVID, Summer 154 00:07:52,880 --> 00:07:55,440 Speaker 2: George Floyd. And you know, one of the things that 155 00:07:55,480 --> 00:07:58,160 Speaker 2: came out of that is how much harder it became 156 00:07:58,200 --> 00:08:02,360 Speaker 2: for law enforcement to actually recruit people because nobody wanted 157 00:08:02,400 --> 00:08:03,360 Speaker 2: to be a police officer. 158 00:08:03,680 --> 00:08:04,600 Speaker 3: Police officers. 159 00:08:04,720 --> 00:08:08,040 Speaker 2: I mean, obviously there are law enforcement officers who do 160 00:08:08,080 --> 00:08:10,080 Speaker 2: a bad job or they make mistakes, and you know, 161 00:08:10,360 --> 00:08:13,160 Speaker 2: they're not perfect, just like any other population, but they 162 00:08:13,160 --> 00:08:16,800 Speaker 2: were vilified in a way, and the vilification the protests 163 00:08:16,800 --> 00:08:19,160 Speaker 2: were celebrated in a mainstream way. 164 00:08:19,960 --> 00:08:21,440 Speaker 3: And so I mean that actually is what I think 165 00:08:21,440 --> 00:08:23,000 Speaker 3: about now is. 166 00:08:23,120 --> 00:08:25,040 Speaker 2: You know, you know we've talked about it, but you've 167 00:08:25,080 --> 00:08:27,480 Speaker 2: got the mayor of Los Angeles and you've got Gavin Newsom. 168 00:08:27,480 --> 00:08:30,600 Speaker 2: They're saying, Okay, Donald Trump, and the presence of law 169 00:08:30,720 --> 00:08:34,320 Speaker 2: enforcement is actually making things worse. And I thought, what 170 00:08:34,400 --> 00:08:37,120 Speaker 2: if you're a police officer in Los Angeles, Like, at 171 00:08:37,160 --> 00:08:40,079 Speaker 2: no point has anybody said the police officers are doing 172 00:08:40,120 --> 00:08:42,280 Speaker 2: a great job. The implication is actually the opposite. They're 173 00:08:42,280 --> 00:08:45,760 Speaker 2: suggesting that the presence of law enforcements was leading to 174 00:08:46,080 --> 00:08:51,040 Speaker 2: violence and crime, and that is so backwards and wrong. 175 00:08:51,200 --> 00:08:56,760 Speaker 2: It's like awellian and dystopian. But that's the that's the 176 00:08:56,840 --> 00:09:00,000 Speaker 2: logic that they've sold us for the last half a decade. 177 00:09:00,160 --> 00:09:01,000 Speaker 1: So question. 178 00:09:01,480 --> 00:09:03,560 Speaker 2: Yeah, and so I think that's it's unfortunate that you're 179 00:09:03,600 --> 00:09:06,240 Speaker 2: seeing this, and I, dude, I'm actually quite worried that 180 00:09:06,240 --> 00:09:07,760 Speaker 2: it's going to get a lot worse this weekend. 181 00:09:08,280 --> 00:09:11,280 Speaker 1: So I'm in New York City, so to today. You know, 182 00:09:11,360 --> 00:09:14,800 Speaker 1: I came in by train, took the subway, YadA YadA, 183 00:09:16,240 --> 00:09:18,760 Speaker 1: and I'm just looking around because what happens is this 184 00:09:18,800 --> 00:09:20,960 Speaker 1: is the other thing. You know, protesters, they really kind 185 00:09:21,000 --> 00:09:22,600 Speaker 1: of have it good, right. They're making what is it, 186 00:09:22,679 --> 00:09:26,560 Speaker 1: seven to thirteen thousand a week, whether they protest or not. 187 00:09:27,160 --> 00:09:28,640 Speaker 2: I heard you say that, by the way, on your 188 00:09:28,679 --> 00:09:31,360 Speaker 2: last podcast, and I like, I like that we're pretending 189 00:09:31,360 --> 00:09:33,760 Speaker 2: that you're on Craigslist because that's for research for the 190 00:09:33,760 --> 00:09:34,880 Speaker 2: show and not for anything else. 191 00:09:34,880 --> 00:09:37,360 Speaker 1: But yeah, absolutely, I was like, I don't really know 192 00:09:37,400 --> 00:09:41,280 Speaker 1: this platform that much. I'm never here just perusing for 193 00:09:41,320 --> 00:09:45,880 Speaker 1: the purposes of the show. Thank you for listening. Like, honestly, 194 00:09:46,160 --> 00:09:49,720 Speaker 1: if you're unemployed and you can make seven to thirteen 195 00:09:49,800 --> 00:09:53,680 Speaker 1: thousand dollars, whether you protest or not. And I think 196 00:09:53,679 --> 00:09:56,040 Speaker 1: to myself, Okay, and they have all these people who 197 00:09:56,080 --> 00:09:58,240 Speaker 1: went under cover, and we actually had one of them 198 00:09:58,280 --> 00:10:01,160 Speaker 1: on the show the other day, Cam Higbee, and he was, 199 00:10:01,320 --> 00:10:03,280 Speaker 1: you know, he's in the LA riots. He's there, and 200 00:10:03,320 --> 00:10:06,040 Speaker 1: he's like, they are organized. They have pieces of paper, 201 00:10:06,280 --> 00:10:08,320 Speaker 1: they are told what to say, how to say it, 202 00:10:08,559 --> 00:10:12,200 Speaker 1: where to run, what to do. They're given water, bandanas, 203 00:10:12,559 --> 00:10:18,280 Speaker 1: band aids, bats, they have makeshift bombs and firecrackers, all 204 00:10:18,360 --> 00:10:22,520 Speaker 1: kinds of I mean, they are going out super ready. 205 00:10:22,640 --> 00:10:24,960 Speaker 1: And so that COEs that hearkens back to the whole 206 00:10:24,960 --> 00:10:28,320 Speaker 1: idea of the of who's profiting, who's making money off 207 00:10:28,360 --> 00:10:31,560 Speaker 1: of this? Why is there such a desire to subvert 208 00:10:32,000 --> 00:10:35,120 Speaker 1: you know, the United States of America as a whole 209 00:10:35,160 --> 00:10:38,640 Speaker 1: other podcast. But I think the thing that I'm struggling 210 00:10:38,720 --> 00:10:40,880 Speaker 1: with the most, and this goes back to the original 211 00:10:40,920 --> 00:10:44,040 Speaker 1: comment of we want to give something different truth, a 212 00:10:44,120 --> 00:10:47,520 Speaker 1: perspective of truth, just maybe like I don't care who 213 00:10:47,720 --> 00:10:49,600 Speaker 1: is telling it, whether it's the left or the right, 214 00:10:49,760 --> 00:10:51,520 Speaker 1: the rich or the poor. I just want to tell 215 00:10:51,559 --> 00:10:54,640 Speaker 1: you what's happening. And I'm looking at CNN and I 216 00:10:54,679 --> 00:10:56,839 Speaker 1: feel like, to your point, I'm back during the George 217 00:10:56,840 --> 00:11:01,400 Speaker 1: Floyd riots. I'm looking at Dana Bash and Jake Tapper 218 00:11:02,440 --> 00:11:07,560 Speaker 1: and Nicole Wallace and you know, the the ridiculous people 219 00:11:07,600 --> 00:11:11,760 Speaker 1: that sit around that desk on the view. These riots 220 00:11:11,800 --> 00:11:18,120 Speaker 1: are not riots, purely expression due to the frustration caused 221 00:11:18,120 --> 00:11:23,760 Speaker 1: by Donald Trump. And I'm like, guys, they're throwing vehicles 222 00:11:23,800 --> 00:11:27,439 Speaker 1: and setting them on fire. That's not where is that peaceful? 223 00:11:28,360 --> 00:11:31,040 Speaker 1: I mean right, No, it's. 224 00:11:30,960 --> 00:11:33,400 Speaker 3: A it's a good gig, it's well paid. 225 00:11:33,480 --> 00:11:37,440 Speaker 2: And based on the video I've seen of people looting, 226 00:11:37,559 --> 00:11:39,559 Speaker 2: you know, the Apple store, it comes to the free iPhone. 227 00:11:40,120 --> 00:11:41,839 Speaker 1: So it's not your fault, it's not their fault. 228 00:11:41,880 --> 00:11:44,920 Speaker 2: Okay, no, it's not their fault. No, this is worse, 229 00:11:45,760 --> 00:11:47,600 Speaker 2: and I think it speaks to you, and I think 230 00:11:47,640 --> 00:11:50,120 Speaker 2: you've heard you say this before. There weren't really any 231 00:11:50,120 --> 00:11:52,719 Speaker 2: consequences for doing it in twenty twenty, right, like you 232 00:11:52,800 --> 00:11:55,360 Speaker 2: got bailed out. There's all these funds, and it was 233 00:11:55,440 --> 00:11:58,839 Speaker 2: I think the left saw this is the Yeah, that's 234 00:11:58,840 --> 00:12:01,040 Speaker 2: what I'm saying. So and Mike, you know, Tim Walls. Yeah, 235 00:12:01,080 --> 00:12:04,360 Speaker 2: So the person who presided over the dumpster fire that 236 00:12:04,679 --> 00:12:08,440 Speaker 2: was Minnesota during twenty twenty got picked to be the 237 00:12:08,559 --> 00:12:11,960 Speaker 2: vice president. You know, they say, oh, I'm here to 238 00:12:12,000 --> 00:12:13,560 Speaker 2: code talk to white guys. No, I think it was 239 00:12:13,679 --> 00:12:15,880 Speaker 2: actually meant as an endorsement of all the other behaviors 240 00:12:15,920 --> 00:12:19,120 Speaker 2: that they sort of like helped foment and and and 241 00:12:19,200 --> 00:12:20,000 Speaker 2: helped celebrate. 242 00:12:20,120 --> 00:12:21,080 Speaker 3: In twenty twenty, it was. 243 00:12:21,120 --> 00:12:24,679 Speaker 2: It's a disaster, and Minnesota was worse, not just in 244 00:12:24,760 --> 00:12:27,280 Speaker 2: terms of the riots for the George Floyd stuff, but 245 00:12:27,320 --> 00:12:30,120 Speaker 2: then also they were like among the more hard handed 246 00:12:30,160 --> 00:12:32,319 Speaker 2: stuff for COVID shutdowns. Right, You've seen those videos of 247 00:12:32,360 --> 00:12:34,760 Speaker 2: them like firing rubber bullets telling people to go back outside. 248 00:12:35,400 --> 00:12:36,000 Speaker 3: It's it's the. 249 00:12:36,440 --> 00:12:40,160 Speaker 2: Worst thing, the worst Yeah, No, the worst Democratic policies 250 00:12:40,480 --> 00:12:42,880 Speaker 2: that you could come up with was Minnesota, and that's 251 00:12:42,880 --> 00:12:44,920 Speaker 2: who they picked. So that just shows you where they are. 252 00:12:44,960 --> 00:12:46,600 Speaker 2: And then you wonder why they were you know, they 253 00:12:46,600 --> 00:12:50,199 Speaker 2: got beat so badly. Yeah, despite that, the this and effort. No, 254 00:12:50,280 --> 00:12:52,560 Speaker 2: it's terrible, and it's good news for being you know, 255 00:12:52,600 --> 00:12:55,000 Speaker 2: I think right minor Republicans because it's like they still 256 00:12:55,000 --> 00:12:57,440 Speaker 2: don't have it figured out, and the fact that they can't, 257 00:12:57,559 --> 00:13:00,960 Speaker 2: heard Mark Halpern say on his podcast recently, why wouldn't 258 00:13:00,960 --> 00:13:02,720 Speaker 2: they just come out and say hey, thank you Donald 259 00:13:02,760 --> 00:13:06,680 Speaker 2: Trump for sell it, for sending support and in reinforcements, 260 00:13:06,720 --> 00:13:09,319 Speaker 2: Like why would you not say that? It's because Donald 261 00:13:09,320 --> 00:13:12,960 Speaker 2: Trump is so toxic and still seen as such a 262 00:13:13,040 --> 00:13:14,080 Speaker 2: threat that like they. 263 00:13:13,960 --> 00:13:17,160 Speaker 3: Have to be. They're too. 264 00:13:19,240 --> 00:13:22,440 Speaker 2: Beholden to the donor and activist class, and so they 265 00:13:22,480 --> 00:13:25,680 Speaker 2: can't then say what most people want to say, which 266 00:13:25,679 --> 00:13:29,040 Speaker 2: is like, actually, Donald Trump's not the problem. Law Enforcement's 267 00:13:29,120 --> 00:13:32,080 Speaker 2: not the problem. The rioters are the problem, and anybody 268 00:13:32,120 --> 00:13:34,120 Speaker 2: that says anything else is lying to you. 269 00:13:34,880 --> 00:13:37,400 Speaker 1: So I want to go back to something which that 270 00:13:37,559 --> 00:13:41,160 Speaker 1: just made me think of it. You know, the lobbyists 271 00:13:41,200 --> 00:13:44,080 Speaker 1: and the people who sit on the boards. Yeah, and 272 00:13:44,120 --> 00:13:48,079 Speaker 1: the people that are getting kickbacks and are literally making 273 00:13:48,160 --> 00:13:51,520 Speaker 1: money off the demise of others. Right, m So you 274 00:13:51,559 --> 00:13:56,319 Speaker 1: look at you know, twenty twenty and Donald Trump, and 275 00:13:56,360 --> 00:14:00,400 Speaker 1: I always say the same thing. I'm like, people love 276 00:14:00,440 --> 00:14:03,480 Speaker 1: Donald Trump. You say what you want. You know, I 277 00:14:03,480 --> 00:14:04,760 Speaker 1: don't have to marry him, I don't have to have 278 00:14:04,760 --> 00:14:07,360 Speaker 1: dinner with him, but I like the way it runs business. Yeah, 279 00:14:07,440 --> 00:14:11,960 Speaker 1: So if you can put aside your personal logita, you know, 280 00:14:12,000 --> 00:14:15,480 Speaker 1: we have Joe Biden who's sniffing and touching small children 281 00:14:16,000 --> 00:14:19,000 Speaker 1: on camera, it's it's not for debate. It's just not 282 00:14:19,440 --> 00:14:19,960 Speaker 1: you know, the. 283 00:14:19,960 --> 00:14:21,000 Speaker 3: Deep fake, and you know. 284 00:14:20,920 --> 00:14:25,840 Speaker 1: It like I'm sorry, guys, like it's just weird. It 285 00:14:25,880 --> 00:14:27,760 Speaker 1: just is. You got it. And then you know, we 286 00:14:27,760 --> 00:14:30,080 Speaker 1: had the whole Ashley Biden diary thing, which just sweeped 287 00:14:30,080 --> 00:14:32,520 Speaker 1: out under the giant rug in the middle of the room. 288 00:14:33,040 --> 00:14:35,760 Speaker 2: Also, remember when that lady accused him of like sexual harassment. 289 00:14:36,080 --> 00:14:37,600 Speaker 2: That was a big thing too for like a minute, 290 00:14:37,600 --> 00:14:39,200 Speaker 2: and then that went away, just. 291 00:14:39,200 --> 00:14:42,760 Speaker 1: Like the Laptop from Hell went nowhere. And all of 292 00:14:42,760 --> 00:14:46,120 Speaker 1: these accusations and the problem is, and it goes to 293 00:14:46,240 --> 00:14:49,080 Speaker 1: every single thing, right, whether it's the election in twenty twenty, 294 00:14:49,600 --> 00:14:53,080 Speaker 1: whether it is the original source of COVID, whether it 295 00:14:53,200 --> 00:14:56,280 Speaker 1: is why it's okay for these thousands and thousands of 296 00:14:56,320 --> 00:15:01,080 Speaker 1: paid protesters to destroy cities in the name of progress, 297 00:15:01,360 --> 00:15:04,280 Speaker 1: and I use that term loosely, all of these things 298 00:15:04,280 --> 00:15:07,880 Speaker 1: you can't can't ask questions. If you ask questions, there's 299 00:15:07,920 --> 00:15:11,600 Speaker 1: something wrong with you. And I'm like, I'm sorry, I 300 00:15:11,640 --> 00:15:14,160 Speaker 1: thought that that was the whole point. If you aren't 301 00:15:14,160 --> 00:15:19,200 Speaker 1: committed to your mission, and that's being very kind, why 302 00:15:19,240 --> 00:15:21,880 Speaker 1: are you covering your face? Why are you covering your face, 303 00:15:23,040 --> 00:15:23,560 Speaker 1: what are you doing it? 304 00:15:24,040 --> 00:15:25,840 Speaker 2: It's a great point, and that to me was actually 305 00:15:25,800 --> 00:15:28,320 Speaker 2: the worst part about I mean everything about twenty twenty 306 00:15:28,400 --> 00:15:30,880 Speaker 2: was bad, but yes, that you couldn't And that's why 307 00:15:30,880 --> 00:15:34,960 Speaker 2: again I thought like Trump will win because the amount 308 00:15:35,040 --> 00:15:38,960 Speaker 2: of space that was taken from us to say things 309 00:15:39,000 --> 00:15:44,120 Speaker 2: disappeared so dramatically, like you couldn't question anything like mask policies, right, 310 00:15:44,160 --> 00:15:46,240 Speaker 2: like I mean know, like remember, I mean, no, you 311 00:15:46,560 --> 00:15:48,000 Speaker 2: have to wear a mask all the time unless you're 312 00:15:48,000 --> 00:15:50,800 Speaker 2: at a restaurant, you know, unless you're like actively eating it. 313 00:15:50,840 --> 00:15:52,240 Speaker 3: Was it bad? Is it not bad? You know? 314 00:15:53,520 --> 00:15:56,280 Speaker 1: I never wore a mask. I've never fought so many 315 00:15:56,280 --> 00:16:00,400 Speaker 1: strangers in my life. Yeah, I'm like, I'm sorry, I'm 316 00:16:00,400 --> 00:16:01,960 Speaker 1: not wearing a mask to go to the store of 317 00:16:02,000 --> 00:16:02,640 Speaker 1: by bananas. 318 00:16:03,040 --> 00:16:07,239 Speaker 2: I actually gained COVID nineteen because in terms of pounds, 319 00:16:07,280 --> 00:16:09,240 Speaker 2: just because I was always having like something in my 320 00:16:09,320 --> 00:16:12,320 Speaker 2: mouth when I was like, it's like, no, that was 321 00:16:12,360 --> 00:16:14,440 Speaker 2: the thing. I can I can do this, Okay, it 322 00:16:14,440 --> 00:16:15,000 Speaker 2: doesn't matter. 323 00:16:15,560 --> 00:16:17,040 Speaker 3: I remembered flying. 324 00:16:16,680 --> 00:16:20,120 Speaker 1: And they had just kind of lifted it and I 325 00:16:20,240 --> 00:16:22,760 Speaker 1: was in, uh, I want to where I was going 326 00:16:22,800 --> 00:16:26,000 Speaker 1: out west. It was a very long flight and as 327 00:16:26,040 --> 00:16:28,160 Speaker 1: soon as I got on the flight, it was like 328 00:16:28,200 --> 00:16:29,960 Speaker 1: seeing like you know, like when I see like a 329 00:16:29,960 --> 00:16:32,600 Speaker 1: female pilot who you know, looks like she's eleven and 330 00:16:32,840 --> 00:16:34,760 Speaker 1: maybe has flown ten hours, I'm like, I'm getting off, 331 00:16:35,200 --> 00:16:37,640 Speaker 1: so I can't. I get on the plane and I 332 00:16:37,640 --> 00:16:40,200 Speaker 1: see her. She's got the N ninety five and then 333 00:16:40,280 --> 00:16:42,920 Speaker 1: the mask on top of that, and then one around 334 00:16:42,920 --> 00:16:47,680 Speaker 1: her head, and I'm like, ma'am, what is happening? Like, 335 00:16:47,760 --> 00:16:51,360 Speaker 1: that's not that's not protecting yourself or anybody else. That's 336 00:16:51,480 --> 00:16:55,720 Speaker 1: just your psychosis manifesting itself in your face in many 337 00:16:55,800 --> 00:16:59,440 Speaker 1: layers of paper. I really, I am struggling in a 338 00:16:59,520 --> 00:17:02,720 Speaker 1: large way. I actually hurt for you. But she decided 339 00:17:02,720 --> 00:17:04,200 Speaker 1: that I was going to be her target. And I'm 340 00:17:04,200 --> 00:17:07,760 Speaker 1: sitting there and she goes, I'm hi, Hi, So I'm 341 00:17:07,760 --> 00:17:09,840 Speaker 1: going to need you to just if you're not actively 342 00:17:09,960 --> 00:17:14,040 Speaker 1: eating or drinking, to just keep that mask in place. 343 00:17:14,280 --> 00:17:18,959 Speaker 1: And I looked her no, She's like, I'm sorry, that's 344 00:17:19,000 --> 00:17:21,439 Speaker 1: federal alarm. Like it's actually not federal law. The mandate 345 00:17:21,440 --> 00:17:23,800 Speaker 1: has been lifted. I can I don't have to wear 346 00:17:23,880 --> 00:17:26,720 Speaker 1: my mask unless I'm sick, and I'm not sick. I'm fine, 347 00:17:26,720 --> 00:17:28,800 Speaker 1: actually you look like you're very unwell. I see you 348 00:17:28,840 --> 00:17:32,200 Speaker 1: have like or four I wish you all the best 349 00:17:32,200 --> 00:17:36,439 Speaker 1: of my friend. She reland the plane and the captain 350 00:17:36,480 --> 00:17:39,639 Speaker 1: comes out and she's like, I've told the captain that 351 00:17:39,680 --> 00:17:40,840 Speaker 1: he needs to speak with you. I'm like, oh, he 352 00:17:40,840 --> 00:17:41,560 Speaker 1: wants to talk to me. 353 00:17:41,680 --> 00:17:45,720 Speaker 2: Fantastic, right, Like we did the thing. I bought the ticket, 354 00:17:45,720 --> 00:17:48,080 Speaker 2: I took the ride, and now get off. 355 00:17:48,119 --> 00:17:50,880 Speaker 1: We're here. We don't need to talk anymore. The interaction 356 00:17:51,040 --> 00:17:52,880 Speaker 1: is over. Have a nice day, you know. I'll send 357 00:17:52,920 --> 00:17:54,840 Speaker 1: you a mask. Looks like you could use one. But 358 00:17:55,640 --> 00:17:57,359 Speaker 1: all of that to say, it was like it it 359 00:17:57,440 --> 00:17:58,760 Speaker 1: gave power to people. 360 00:17:59,160 --> 00:18:02,760 Speaker 2: Yeah, it's so so back to the point, like go 361 00:18:02,800 --> 00:18:04,760 Speaker 2: back to the hippies in the street blocking the African 362 00:18:04,800 --> 00:18:07,359 Speaker 2: American lady. It's I've been thinking about this. It's like 363 00:18:07,840 --> 00:18:12,000 Speaker 2: inherently self elevating. It's like they feel good about themselves 364 00:18:12,600 --> 00:18:14,840 Speaker 2: by telling this lady, bro, why are you going to work? 365 00:18:14,880 --> 00:18:17,320 Speaker 2: Like my position is so much better because I care 366 00:18:17,359 --> 00:18:19,800 Speaker 2: about like what actually matters, and they understand the things 367 00:18:19,840 --> 00:18:22,479 Speaker 2: that actually matter, and you're an idiot and you're just 368 00:18:22,520 --> 00:18:26,240 Speaker 2: causing harm and destruction on other people. It's very unfortunate, 369 00:18:26,240 --> 00:18:30,239 Speaker 2: and I'm really glad that period is over. But but 370 00:18:30,280 --> 00:18:32,520 Speaker 2: I do think the seeds of that still very much 371 00:18:33,400 --> 00:18:37,800 Speaker 2: exist in the small pockets where those people because you 372 00:18:37,800 --> 00:18:40,280 Speaker 2: would have to confront and you'd have to admit to 373 00:18:40,280 --> 00:18:43,040 Speaker 2: yourself that what you believed and did was wrong, and 374 00:18:43,119 --> 00:18:45,800 Speaker 2: they won't do that. And so that's why, right so, 375 00:18:45,880 --> 00:18:47,960 Speaker 2: like so law enforcement still bad, and that's why the 376 00:18:48,000 --> 00:18:50,960 Speaker 2: immigrants are good. And I think there's a difference right between. 377 00:18:52,480 --> 00:18:55,520 Speaker 2: You know, I think that there's some people that would say, 378 00:18:55,600 --> 00:18:58,720 Speaker 2: you can't just say, hey, we think forced deportations of 379 00:18:58,720 --> 00:19:01,080 Speaker 2: people who are just here illegally, maybe that's too much. 380 00:19:01,119 --> 00:19:03,080 Speaker 2: And I don't think there's as much support for that 381 00:19:03,680 --> 00:19:06,040 Speaker 2: across the country as But you can't just say that. 382 00:19:06,080 --> 00:19:09,520 Speaker 2: It's like no, no, no, cops are bad, ice raids 383 00:19:09,520 --> 00:19:11,639 Speaker 2: are bad, you know, I mean, like they there was 384 00:19:11,720 --> 00:19:14,120 Speaker 2: people that's a Maryland man, it's a Maryland dad. He's 385 00:19:14,119 --> 00:19:16,200 Speaker 2: not a you know, somebody's got all kinds of problems. 386 00:19:16,320 --> 00:19:18,119 Speaker 2: And remember and we talked about this on this week's 387 00:19:18,160 --> 00:19:21,840 Speaker 2: episode of The Buildown like the whole thing started and 388 00:19:21,920 --> 00:19:24,719 Speaker 2: Tom Homan said this, our borders are said, we weren't 389 00:19:24,960 --> 00:19:28,040 Speaker 2: just looking for illegal immigrants. We were busting up a 390 00:19:28,119 --> 00:19:32,040 Speaker 2: money laundering operation that was benefiting the Mexican cartel. Eighty 391 00:19:32,119 --> 00:19:35,639 Speaker 2: million dollars worth of underreported assets is here, and the 392 00:19:35,720 --> 00:19:39,040 Speaker 2: drug cartels have made billions of dollars because of this 393 00:19:39,119 --> 00:19:41,920 Speaker 2: open border policy under Joe Biden. Like, that's what they're 394 00:19:41,960 --> 00:19:45,480 Speaker 2: going after. And I think that's actually so you've taken 395 00:19:45,600 --> 00:19:48,359 Speaker 2: like real money that speaks to like a real geopolitical 396 00:19:48,400 --> 00:19:51,239 Speaker 2: threat to the United States, and people are celebrating it 397 00:19:51,280 --> 00:19:55,159 Speaker 2: because they think it's about something that is about some 398 00:19:55,160 --> 00:19:56,760 Speaker 2: civil rights issue, even though it's not really. 399 00:19:57,000 --> 00:19:59,240 Speaker 1: But to that point, Eric, right, So you made an 400 00:19:59,280 --> 00:20:01,960 Speaker 1: excellent point on your show for those of you who 401 00:20:02,080 --> 00:20:03,880 Speaker 1: didn't miss it. In the front, he hosts The Drill 402 00:20:03,920 --> 00:20:06,360 Speaker 1: Down with Peter Schweitzer. It's excellent. It's every week. It's 403 00:20:06,640 --> 00:20:10,359 Speaker 1: a wonderful podcast. And they do ridiculous research that nobody 404 00:20:10,400 --> 00:20:13,840 Speaker 1: else does. Truly, nobody else does. And they pointed out 405 00:20:13,840 --> 00:20:17,400 Speaker 1: the fact that Tom Holman didn't like sort of say, hey, 406 00:20:17,400 --> 00:20:19,800 Speaker 1: that looks like a fun factory to go into. No, 407 00:20:19,920 --> 00:20:23,240 Speaker 1: that's not what happened. They were executing search warrants based 408 00:20:23,280 --> 00:20:27,040 Speaker 1: upon information and data that they had collected in their 409 00:20:27,040 --> 00:20:30,120 Speaker 1: investigations that showed that it was a money laundering operation 410 00:20:30,720 --> 00:20:32,920 Speaker 1: and that they needed to arrest these people who were 411 00:20:32,920 --> 00:20:37,160 Speaker 1: operating within the boundaries of and for cartels. And I'm 412 00:20:37,200 --> 00:20:41,960 Speaker 1: sure it's trendy Aragua and the Sinaloa MS thirteen, God 413 00:20:42,000 --> 00:20:44,960 Speaker 1: knows who else. Is there something wrong? Like are we 414 00:20:45,040 --> 00:20:48,119 Speaker 1: not able to enforce the law? Oh, well, you can't 415 00:20:48,200 --> 00:20:52,520 Speaker 1: arrest the union leader. Okay, Well, if the union leader 416 00:20:52,680 --> 00:20:55,960 Speaker 1: is the guy that is the one that is executing 417 00:20:56,000 --> 00:20:58,880 Speaker 1: everything for the cartel, then the union leader goes to jail. 418 00:20:59,080 --> 00:21:01,119 Speaker 1: That's the way it works. It doesn't matter who it 419 00:21:01,200 --> 00:21:03,840 Speaker 1: is that's following the law. But it's this idea that 420 00:21:03,880 --> 00:21:08,040 Speaker 1: they're convoluting it with the illegal immigration fight. And they're saying, oh, 421 00:21:08,080 --> 00:21:09,840 Speaker 1: they're just trying to feed their families. So I'm like, bro, 422 00:21:09,920 --> 00:21:12,960 Speaker 1: he's not trying to feed anybody Learney for the cartel, 423 00:21:13,119 --> 00:21:16,280 Speaker 1: Like stop, it's so. But see, it's to your point 424 00:21:16,480 --> 00:21:18,600 Speaker 1: and what we were saying earlier. People don't know this 425 00:21:18,760 --> 00:21:22,879 Speaker 1: right because they're not seeing it. They're not watching what 426 00:21:22,920 --> 00:21:25,240 Speaker 1: they need to watch to learn what they need to learn. 427 00:21:25,440 --> 00:21:27,520 Speaker 2: They're just by the way and by the way, one 428 00:21:27,520 --> 00:21:29,919 Speaker 2: of the groups that helped organize these protests that we 429 00:21:29,960 --> 00:21:34,640 Speaker 2: talked about in our podcast Turla. We actually had one 430 00:21:34,680 --> 00:21:37,720 Speaker 2: of our researchers and author, Jed macfatter, he was He 431 00:21:37,760 --> 00:21:41,000 Speaker 2: put out a tweet, but basically that in twenty twenty one, 432 00:21:41,080 --> 00:21:43,480 Speaker 2: that group spent I think upwards of five hundred thousand 433 00:21:43,560 --> 00:21:47,359 Speaker 2: dollars to defeat Gavin Newston's recall amendment. So like, so 434 00:21:47,440 --> 00:21:50,159 Speaker 2: these groups that are helping to organize these things. So 435 00:21:50,160 --> 00:21:52,000 Speaker 2: if you wonder, like how come Gavin Newstom, how come 436 00:21:52,080 --> 00:21:54,920 Speaker 2: mayor Canbass, like these local elected leaders, how come they're 437 00:21:54,920 --> 00:21:57,359 Speaker 2: saying things that seem not in support of like the 438 00:21:57,480 --> 00:21:58,800 Speaker 2: regular citizens in California. 439 00:21:58,800 --> 00:22:00,080 Speaker 3: It's because they have been. 440 00:22:00,160 --> 00:22:04,000 Speaker 2: Supported by these groups that are tied in with these protests. 441 00:22:04,000 --> 00:22:07,600 Speaker 2: And so yeah, they're unfortunately like either direct beneficiarias or 442 00:22:07,600 --> 00:22:10,119 Speaker 2: in some ways partners with the groups they're helping to 443 00:22:10,160 --> 00:22:11,960 Speaker 2: do this. So you that's where they're going to be, 444 00:22:12,119 --> 00:22:13,560 Speaker 2: and that's where they will be, and that's why I 445 00:22:13,560 --> 00:22:16,960 Speaker 2: think you're gonna see so many different you know, wait 446 00:22:17,080 --> 00:22:18,960 Speaker 2: until next week, we will talk about the money on 447 00:22:18,960 --> 00:22:20,760 Speaker 2: the drill down. We will talk about the money behind 448 00:22:20,840 --> 00:22:22,359 Speaker 2: what's happening, what's gonna happen this weekend. 449 00:22:22,359 --> 00:22:23,879 Speaker 3: The No Kings movement. 450 00:22:23,920 --> 00:22:26,320 Speaker 2: I mean, it's just it's not just crazy Randy Winegarten 451 00:22:26,359 --> 00:22:27,320 Speaker 2: and the teacher people. 452 00:22:27,320 --> 00:22:30,080 Speaker 3: There's there's real money from real bad places. Yeah. No, 453 00:22:30,160 --> 00:22:32,199 Speaker 3: it's going to be so stay tuned for that. 454 00:22:32,600 --> 00:22:34,640 Speaker 1: Well, there's also you know, we've got sing them, We've 455 00:22:34,680 --> 00:22:39,080 Speaker 1: got PSL, Trilla, all the things. But I think the 456 00:22:39,359 --> 00:22:43,399 Speaker 1: bigger picture that people are also unaware of. When you 457 00:22:43,440 --> 00:22:46,480 Speaker 1: see somebody like Bono come out and start talking about 458 00:22:47,160 --> 00:22:51,800 Speaker 1: the starving children and USA, I'm like, just go sing 459 00:22:51,840 --> 00:22:54,240 Speaker 1: where the streets have no name, sir. That's your job, 460 00:22:54,520 --> 00:22:57,639 Speaker 1: that's what you're Okay, it's a beautiful song. I enjoy it, 461 00:22:57,680 --> 00:23:01,840 Speaker 1: Please sing it. Stop talking about politics. This this whole 462 00:23:01,880 --> 00:23:05,919 Speaker 1: group of Like, I'm an artist, therefore I resonate with 463 00:23:06,000 --> 00:23:09,720 Speaker 1: the refugee and the lost. But the original you know, 464 00:23:09,800 --> 00:23:12,880 Speaker 1: idea of give me you're tired, you're poor, you know, 465 00:23:13,119 --> 00:23:16,359 Speaker 1: you're hungry masses like, that's not what we're dealing with. 466 00:23:17,080 --> 00:23:20,800 Speaker 1: We're dealing with opportunists who came across an open border 467 00:23:20,840 --> 00:23:24,399 Speaker 1: and our milking system, depleting the system and sending money 468 00:23:24,400 --> 00:23:26,280 Speaker 1: back to another country. Oh and by the way, the 469 00:23:26,320 --> 00:23:28,879 Speaker 1: Mexican president is pissed off because she doesn't want to 470 00:23:28,880 --> 00:23:32,520 Speaker 1: pay taxes on American dollars either. And that to mention 471 00:23:32,600 --> 00:23:35,840 Speaker 1: the fact the funneling of money through USA two NGOs 472 00:23:36,080 --> 00:23:38,480 Speaker 1: that go to all the illegal things that we're talking about. 473 00:23:38,560 --> 00:23:40,200 Speaker 1: You have to follow the money. 474 00:23:40,680 --> 00:23:43,600 Speaker 2: Follow money remittances from the United States, and Mexico has 475 00:23:43,640 --> 00:23:47,600 Speaker 2: shocked learned this sixty four billion dollars, sixty four billion 476 00:23:47,680 --> 00:23:51,439 Speaker 2: dollars get sent back from people in this country to Mexico, 477 00:23:51,520 --> 00:23:53,600 Speaker 2: which you know, hey, it's their right, they can do. 478 00:23:53,760 --> 00:23:55,280 Speaker 2: They can do whatever they want to do. But that's 479 00:23:55,440 --> 00:23:59,159 Speaker 2: five percent of the Mexican economy. That's like the telecom 480 00:23:59,160 --> 00:24:01,360 Speaker 2: industry and like online media stuff. I mean, that's it's 481 00:24:01,960 --> 00:24:04,639 Speaker 2: it's massive, and so yeah, of course they're incentivized to 482 00:24:04,640 --> 00:24:06,320 Speaker 2: do it. And that's why she said, Look, we will, 483 00:24:06,760 --> 00:24:08,800 Speaker 2: we will protest and we will organize. They're talking about 484 00:24:08,800 --> 00:24:10,840 Speaker 2: in this big beautiful bill adding a three and a 485 00:24:10,880 --> 00:24:13,760 Speaker 2: half percent tax to the remittances, which I think, even 486 00:24:13,800 --> 00:24:16,000 Speaker 2: as conservatives, I know it feels good, but I don't 487 00:24:16,040 --> 00:24:18,840 Speaker 2: feel like you want a tax like it's their money, right, Like, 488 00:24:18,920 --> 00:24:21,159 Speaker 2: so I don't think we want to be in the 489 00:24:21,160 --> 00:24:24,679 Speaker 2: business of supporting taxes. But that's but I think, you know, 490 00:24:24,680 --> 00:24:26,440 Speaker 2: Conservats should be able to be honest and have honest 491 00:24:26,480 --> 00:24:28,840 Speaker 2: conversations about that, whereas on the left is like, no, 492 00:24:28,960 --> 00:24:30,639 Speaker 2: like we will take these positions and do it. But 493 00:24:30,680 --> 00:24:32,840 Speaker 2: you got Republicans saying that, well, maybe we'll jack up 494 00:24:32,840 --> 00:24:34,720 Speaker 2: to fifteen percent just as a retaliatory measure. 495 00:24:35,480 --> 00:24:36,360 Speaker 3: We'll see, right. 496 00:24:36,359 --> 00:24:39,000 Speaker 2: But the point is, the money behind this issue is 497 00:24:39,080 --> 00:24:43,600 Speaker 2: insane and that's what's actually going on. But unfortunately, that 498 00:24:44,040 --> 00:24:46,399 Speaker 2: is not what the media talks about. The media just 499 00:24:46,440 --> 00:24:50,840 Speaker 2: talks about these poor, innocent black and brown people who 500 00:24:50,840 --> 00:24:53,120 Speaker 2: are being mistreated by law enforcement. 501 00:24:53,400 --> 00:24:56,960 Speaker 1: Right. And unfortunately, if we look statistically, there's two things 502 00:24:56,960 --> 00:25:01,560 Speaker 1: happening statistically in crime, and this is a real they're 503 00:25:01,600 --> 00:25:05,439 Speaker 1: putting down people who are arrested who are black and 504 00:25:05,480 --> 00:25:09,720 Speaker 1: brown as white. And so if you see the police reports, 505 00:25:09,760 --> 00:25:12,720 Speaker 1: these leos will tell you. They'll usually tell you undercover, 506 00:25:12,800 --> 00:25:15,280 Speaker 1: because if they speak out about it, they get in trouble. 507 00:25:15,520 --> 00:25:18,040 Speaker 1: But when they release, when they release the police reports 508 00:25:18,040 --> 00:25:20,240 Speaker 1: and they'll put them online, sometimes you'll see those things. 509 00:25:20,560 --> 00:25:24,480 Speaker 1: They'll say this person was white or this and they weren't. 510 00:25:24,880 --> 00:25:27,199 Speaker 1: And so it's a bigger issue. That's another podcast. In 511 00:25:27,240 --> 00:25:29,440 Speaker 1: any event, Eric Agers, thank you for being with us. 512 00:25:29,600 --> 00:25:32,399 Speaker 1: The world's on fire. I hope you've got your you know, 513 00:25:32,400 --> 00:25:35,560 Speaker 1: your summer weather attire ready, because it's gonna be a 514 00:25:35,560 --> 00:25:36,199 Speaker 1: long summer. 515 00:25:36,680 --> 00:25:39,760 Speaker 3: Listen, Linda, there's a reason why I do podcasts. Okay. 516 00:25:40,200 --> 00:25:42,359 Speaker 2: I don't have the I don't have the wardrobe to 517 00:25:42,440 --> 00:25:45,840 Speaker 2: consistently do television and and you. 518 00:25:45,840 --> 00:25:46,840 Speaker 3: Know this better than anybody. 519 00:25:46,880 --> 00:25:48,639 Speaker 2: And I resent you for bringing up yet another one 520 00:25:48,640 --> 00:25:51,199 Speaker 2: of my personal shortcomings, but I will say it was 521 00:25:52,000 --> 00:25:54,720 Speaker 2: so fun. Let me also, just like you said, Bono, 522 00:25:54,760 --> 00:25:56,360 Speaker 2: and I have to let this. I have to say 523 00:25:56,359 --> 00:26:00,119 Speaker 2: this because it triggered me. I'm somebody who defends liberty 524 00:26:00,240 --> 00:26:03,560 Speaker 2: and freedom for all. I will I like you too. 525 00:26:04,240 --> 00:26:07,159 Speaker 2: I used to like you too. I will never forgive 526 00:26:07,240 --> 00:26:11,960 Speaker 2: Bono for forcing himself onto my iPhone with that album. However, 527 00:26:12,000 --> 00:26:14,560 Speaker 2: many years ago, it's still there. It's so bothersomething. 528 00:26:14,600 --> 00:26:14,840 Speaker 1: It was. 529 00:26:16,320 --> 00:26:18,600 Speaker 2: Super weird, Like why are we pretending that that's okay? 530 00:26:18,640 --> 00:26:20,800 Speaker 2: That was actually worse than COVID. 531 00:26:20,320 --> 00:26:22,679 Speaker 1: I was like you a lot, you don't need to 532 00:26:22,720 --> 00:26:23,200 Speaker 1: force it. 533 00:26:23,480 --> 00:26:24,720 Speaker 3: I'll stop it. 534 00:26:24,840 --> 00:26:28,640 Speaker 1: Cool. Yeah, it really weird. Like anyways, Eric Angers, everybody 535 00:26:28,640 --> 00:26:30,879 Speaker 1: This is Lynda McLaughlin in the Road Recap. Check us 536 00:26:30,880 --> 00:26:33,760 Speaker 1: out online at Lennamick at the Road Recap. I'll see 537 00:26:33,800 --> 00:26:34,119 Speaker 1: you tomorrow. 538 00:26:34,200 --> 00:27:22,879 Speaker 4: Good night, everybody, stay safe. 539 00:27:23,960 --> 00:29:20,280 Speaker 5: Became stamest the same move them, do the mom, don 540 00:29:20,680 --> 00:29:35,080 Speaker 5: the