1 00:00:02,480 --> 00:00:06,400 Speaker 1: I think it's important to talk about how insane being 2 00:00:06,600 --> 00:00:10,280 Speaker 1: normal looks once you get used to being insane. We'll 3 00:00:10,280 --> 00:00:12,920 Speaker 1: talk about that tonight when it comes to deportations, dealing 4 00:00:12,960 --> 00:00:17,079 Speaker 1: with foreign countries. Celebrities are no longer losing their minds 5 00:00:17,079 --> 00:00:19,040 Speaker 1: and moving the needle. All that and more coming up, 6 00:00:19,079 --> 00:00:33,880 Speaker 1: And I'm right, let's talk about sanity, insanity, nations, leaders, 7 00:00:34,000 --> 00:00:38,280 Speaker 1: the things we want, because as of right now, things 8 00:00:38,320 --> 00:00:41,160 Speaker 1: are going very very well, to put it mildly, under 9 00:00:41,200 --> 00:00:44,920 Speaker 1: the Trump administration. Deportations are happening. We'll get to what 10 00:00:44,960 --> 00:00:48,240 Speaker 1: happened with Columbia in a few in the foreign countries, 11 00:00:48,280 --> 00:00:50,600 Speaker 1: but before we get to that, let's just talk about 12 00:00:50,640 --> 00:00:54,840 Speaker 1: something because there's something we're all probably guilty of to 13 00:00:54,920 --> 00:00:55,440 Speaker 1: some degree. 14 00:00:55,520 --> 00:00:56,480 Speaker 2: I know, I am. 15 00:00:57,120 --> 00:01:00,240 Speaker 1: We're all products of our environment, are we not the 16 00:01:00,240 --> 00:01:03,680 Speaker 1: society we live in, of the people who surround us, 17 00:01:03,800 --> 00:01:07,360 Speaker 1: not just on a macro level, just on a local level, 18 00:01:08,319 --> 00:01:11,560 Speaker 1: where products of our parents, of our friends, family the 19 00:01:11,560 --> 00:01:18,040 Speaker 1: way it is, And so there can in the human mind, 20 00:01:18,120 --> 00:01:22,679 Speaker 1: you can get to this place where you accept something 21 00:01:22,880 --> 00:01:27,039 Speaker 1: as being normal that is in no way at all 22 00:01:27,360 --> 00:01:31,679 Speaker 1: normal or okay. And this is part of how human 23 00:01:31,720 --> 00:01:34,840 Speaker 1: beings stay sane, right, because if you're locked up in 24 00:01:34,880 --> 00:01:39,280 Speaker 1: prison or something horrible, your mind has to adjust to 25 00:01:39,440 --> 00:01:42,760 Speaker 1: that new normal. Otherwise you'd freaking lose your mind. 26 00:01:42,800 --> 00:01:43,440 Speaker 2: You go insane. 27 00:01:44,400 --> 00:01:47,640 Speaker 1: So let's talk about where we are here as a country, 28 00:01:47,800 --> 00:01:53,040 Speaker 1: more specifically where we have been right now the Trump administration, 29 00:01:53,720 --> 00:01:56,960 Speaker 1: they are moving forward with deportations. We will go ahead 30 00:01:56,960 --> 00:02:01,360 Speaker 1: and call them mass deportations. Tom Holmer continues his press 31 00:02:01,360 --> 00:02:04,680 Speaker 1: offensive as they go through this, and he's making it 32 00:02:04,680 --> 00:02:06,160 Speaker 1: pretty clear they're not going to stop. 33 00:02:08,080 --> 00:02:10,919 Speaker 3: I want to go back to those military flights going south. 34 00:02:11,360 --> 00:02:14,160 Speaker 3: As you said, we have never seen that before. Is 35 00:02:14,200 --> 00:02:16,959 Speaker 3: that going to be a constant commitment from the US 36 00:02:17,080 --> 00:02:20,519 Speaker 3: military every single day to take deportes out. 37 00:02:20,680 --> 00:02:21,000 Speaker 2: Yes? 38 00:02:21,560 --> 00:02:25,840 Speaker 3: So is this what we will see every single day 39 00:02:26,440 --> 00:02:28,960 Speaker 3: ending in what the President has promised is millions and 40 00:02:29,000 --> 00:02:30,239 Speaker 3: millions being deported? 41 00:02:30,720 --> 00:02:33,280 Speaker 4: Yes, but you can see the number steadily increase, the 42 00:02:33,400 --> 00:02:36,040 Speaker 4: number of rested the nationwide as we open up the aperture. 43 00:02:36,200 --> 00:02:39,840 Speaker 3: The estimates of perhaps those who have been convicted or 44 00:02:40,000 --> 00:02:42,640 Speaker 3: arrested in the past seven hundred thousand to over a million. 45 00:02:43,639 --> 00:02:48,600 Speaker 3: So after you do that, then you go after everybody 46 00:02:49,080 --> 00:02:50,520 Speaker 3: who is there illegally. 47 00:02:51,280 --> 00:02:52,520 Speaker 5: If you're in the country illegally. 48 00:02:53,520 --> 00:02:54,600 Speaker 2: You're on the table. 49 00:02:57,960 --> 00:03:01,320 Speaker 1: Now that clip you probably are. He's seen it. It's 50 00:03:01,360 --> 00:03:05,320 Speaker 1: been making the rounds. Whoa gosh, what a change. But 51 00:03:05,400 --> 00:03:08,040 Speaker 1: most people like me, like you, was celebrating at Yes, 52 00:03:08,120 --> 00:03:11,640 Speaker 1: thank goodness, what a change. Things are different, And of 53 00:03:11,639 --> 00:03:13,520 Speaker 1: course you'll see in a lot of left wing and 54 00:03:13,560 --> 00:03:15,200 Speaker 1: more weeny moderate circles. 55 00:03:15,240 --> 00:03:17,400 Speaker 2: Well it's just too far. I don't know, this is 56 00:03:17,480 --> 00:03:18,079 Speaker 2: going too far. 57 00:03:18,560 --> 00:03:21,200 Speaker 1: But let's just pause on that for a moment before 58 00:03:21,200 --> 00:03:25,679 Speaker 1: we get to what happened with Columbia over the weekend. 59 00:03:25,800 --> 00:03:31,119 Speaker 1: Deporting people who are in your country illegally is not 60 00:03:31,160 --> 00:03:37,080 Speaker 1: supposed to be a Republican thing or Democrat thing. That's 61 00:03:37,240 --> 00:03:41,840 Speaker 1: kind of the thing that's part of leading a country, 62 00:03:41,880 --> 00:03:45,480 Speaker 1: that's part of protecting a nation. I know, we've gotten 63 00:03:45,480 --> 00:03:47,920 Speaker 1: to this place where where we just have accepted the 64 00:03:48,040 --> 00:03:51,200 Speaker 1: Democrats are a bunch of solace open borders demons, and 65 00:03:51,240 --> 00:03:53,240 Speaker 1: Republicans are kind of too weak to do it. But 66 00:03:53,400 --> 00:03:56,640 Speaker 1: you realize both those things, both those things are horrible 67 00:03:56,640 --> 00:04:01,119 Speaker 1: and should not be accepted. Deporting every one in your 68 00:04:01,200 --> 00:04:05,320 Speaker 1: country illegally is like the norm, or it should be 69 00:04:05,440 --> 00:04:09,720 Speaker 1: the norm historically, But we have existed in a system 70 00:04:09,800 --> 00:04:13,600 Speaker 1: for so long where Democrats to the extreme and Republicans 71 00:04:13,680 --> 00:04:16,919 Speaker 1: less so but still guilty of this, have simply viewed 72 00:04:16,960 --> 00:04:21,320 Speaker 1: the United States of America as the world's open sewer 73 00:04:21,680 --> 00:04:25,279 Speaker 1: for different reasons. Right, most of the Democrats are simply evil, 74 00:04:25,560 --> 00:04:28,280 Speaker 1: soulless demons who want to burn the country to the ground. 75 00:04:28,440 --> 00:04:31,000 Speaker 1: But some of them actually may actually believe they're doing well, 76 00:04:31,040 --> 00:04:33,240 Speaker 1: we're trying to be nice to the poor migrants. Of 77 00:04:33,240 --> 00:04:36,960 Speaker 1: course they have to call them migrants, and Republicans oftentimes 78 00:04:37,040 --> 00:04:37,400 Speaker 1: just as. 79 00:04:37,400 --> 00:04:39,000 Speaker 2: Soulless and evil and wrong. 80 00:04:39,080 --> 00:04:41,720 Speaker 1: Well, I mean, we could deport the people and secure 81 00:04:41,720 --> 00:04:44,120 Speaker 1: the border of it. We want those Chamber of Commerce 82 00:04:44,160 --> 00:04:47,080 Speaker 1: dollars coming in. We need the cheap dishwashers, so they 83 00:04:47,120 --> 00:04:51,720 Speaker 1: do the exact same thing. But the normal state of 84 00:04:51,760 --> 00:04:55,400 Speaker 1: affairs for your country and for my country should be 85 00:04:55,440 --> 00:04:56,480 Speaker 1: deport illegals. 86 00:04:57,279 --> 00:04:57,440 Speaker 6: Now. 87 00:04:57,480 --> 00:05:00,479 Speaker 1: I love that it's happening right now, and I apply Trump, 88 00:05:00,480 --> 00:05:02,200 Speaker 1: I applaud Home, and I applied all of them. But 89 00:05:03,080 --> 00:05:05,839 Speaker 1: we shouldn't be in a place where we should applaud 90 00:05:05,960 --> 00:05:10,760 Speaker 1: deportations of illegals. That should be the permanent state of affairs. 91 00:05:11,560 --> 00:05:13,800 Speaker 1: And that brings me to what happened with Columbia. 92 00:05:13,400 --> 00:05:17,080 Speaker 2: Over the weekend. Speaking of being the world's open sewer. 93 00:05:18,480 --> 00:05:21,680 Speaker 1: The world knows, has known for quite some time. This, 94 00:05:21,760 --> 00:05:25,000 Speaker 1: of course, accelerates whenever you elect to monic democrats. The 95 00:05:25,040 --> 00:05:29,280 Speaker 1: world knows that you can take the worst people in 96 00:05:29,320 --> 00:05:32,840 Speaker 1: your society, the dregs of your society, and you can 97 00:05:32,960 --> 00:05:37,120 Speaker 1: just kind of drop them off in America and think 98 00:05:37,120 --> 00:05:40,480 Speaker 1: about just pausitive moment, because think about this, if you're 99 00:05:40,480 --> 00:05:42,600 Speaker 1: a leader of a nation, whatever that nation may be, 100 00:05:42,640 --> 00:05:45,000 Speaker 1: we'll look at it like Columbia right now. When you 101 00:05:45,000 --> 00:05:48,520 Speaker 1: are Columbia, you're not America. Most countries have limits on 102 00:05:48,880 --> 00:05:50,960 Speaker 1: finances and resources and things like that. 103 00:05:51,000 --> 00:05:54,960 Speaker 2: When you're Columbia and you're looking at gosh, we have 104 00:05:55,000 --> 00:05:56,520 Speaker 2: all these criminals. It's not good. 105 00:05:56,560 --> 00:05:59,200 Speaker 1: We don't want them here murdering people, stealing things, raping things. 106 00:05:59,200 --> 00:06:02,320 Speaker 2: That's bad, and it's costly. You need extra cops to 107 00:06:02,360 --> 00:06:03,080 Speaker 2: get that in mind. 108 00:06:03,279 --> 00:06:07,280 Speaker 1: This is costly, imprisoning them, it's costly, but more than 109 00:06:07,360 --> 00:06:10,880 Speaker 1: just the outright vihodment criminals, the poor. You don't want 110 00:06:10,920 --> 00:06:13,000 Speaker 1: to have to take care of these welfare programs that 111 00:06:13,920 --> 00:06:17,760 Speaker 1: Wait a minute. 112 00:06:16,640 --> 00:06:18,599 Speaker 2: America just elected a Democrat. 113 00:06:19,800 --> 00:06:21,440 Speaker 1: Let's round them up and get him out of here, 114 00:06:21,800 --> 00:06:24,880 Speaker 1: send them over to America. Well, what you're doing is 115 00:06:25,480 --> 00:06:31,400 Speaker 1: you're unburdening the budget the resources of your country. Imagine 116 00:06:31,440 --> 00:06:34,479 Speaker 1: if every social setting you could get in that you 117 00:06:34,520 --> 00:06:37,039 Speaker 1: could find yourself in where you could take the bottom 118 00:06:37,080 --> 00:06:38,440 Speaker 1: five percent of losers in. 119 00:06:38,400 --> 00:06:40,440 Speaker 2: That setting and shove them out the door. How much 120 00:06:40,480 --> 00:06:40,719 Speaker 2: better it. 121 00:06:40,720 --> 00:06:42,719 Speaker 1: Would because it's always the bottom five percent ruins it 122 00:06:42,760 --> 00:06:43,440 Speaker 1: for everybody. 123 00:06:43,680 --> 00:06:45,200 Speaker 7: Well, the world. 124 00:06:45,160 --> 00:06:48,000 Speaker 2: Not just Columbia, has just gotten used to. Well that's 125 00:06:48,000 --> 00:06:50,360 Speaker 2: what we do. Oh, got a bunch of people, Send 126 00:06:50,440 --> 00:06:52,560 Speaker 2: them to America. Oh, Joe Biden got elected. 127 00:06:52,680 --> 00:06:55,360 Speaker 1: Probably that loser, probably gave him an app or they 128 00:06:55,360 --> 00:06:58,000 Speaker 1: can get in, and of course he did. And so 129 00:06:58,120 --> 00:07:00,600 Speaker 1: this has been the permanent state of fears for the 130 00:07:00,640 --> 00:07:03,839 Speaker 1: world for as long as I've really been alive. Republican 131 00:07:03,880 --> 00:07:06,719 Speaker 1: and Democrat. Of course Democrats are worse, but I'll just 132 00:07:06,760 --> 00:07:10,920 Speaker 1: Senato America. Well, Trump came out over the weekend, start 133 00:07:11,040 --> 00:07:16,840 Speaker 1: sending people back. Columbia's president says no, and he refuses 134 00:07:16,920 --> 00:07:20,760 Speaker 1: two flights of his own people coming back. Now again, 135 00:07:21,320 --> 00:07:26,200 Speaker 1: this goes to was the Trump response right wing too far? 136 00:07:27,440 --> 00:07:31,680 Speaker 2: Or what should be the norm? Trump said, excuse me, 137 00:07:32,840 --> 00:07:37,600 Speaker 2: you're you're refusing your own people coming back. Okay, I'll 138 00:07:37,600 --> 00:07:37,960 Speaker 2: tell you what. 139 00:07:39,320 --> 00:07:44,120 Speaker 1: Here's some tariffs, and we're going to shatter your country 140 00:07:44,200 --> 00:07:47,440 Speaker 1: economically if you refuse to take your people back. In fact, 141 00:07:48,400 --> 00:07:51,800 Speaker 1: we're going to increase the tariffs if this continues. And 142 00:07:52,000 --> 00:07:54,640 Speaker 1: I'm not even I'm not even making this up for television. 143 00:07:54,920 --> 00:07:57,120 Speaker 2: I think it was like two hours. 144 00:07:56,640 --> 00:08:00,080 Speaker 1: It was within two hours, Columbia announces, oh bye, by 145 00:08:00,080 --> 00:08:01,920 Speaker 1: the way, we're setting the plane to get our people back. 146 00:08:01,920 --> 00:08:03,320 Speaker 1: We want him to come back night. So thank you, 147 00:08:03,360 --> 00:08:06,920 Speaker 1: President Trump. I appreciate you very much. And everyone's praising Trump, 148 00:08:07,000 --> 00:08:08,880 Speaker 1: and honestly, he deserves all. 149 00:08:08,800 --> 00:08:09,960 Speaker 2: The credit in the world and praise. 150 00:08:10,000 --> 00:08:15,800 Speaker 1: But that's how your president should always act, even if 151 00:08:15,800 --> 00:08:19,920 Speaker 1: you have policy disagreements with your president, Republican, Democrat, whatever, 152 00:08:20,600 --> 00:08:25,320 Speaker 1: because he's the American president. That's how he should conduct 153 00:08:25,440 --> 00:08:29,800 Speaker 1: himself at all times. But because we have for so 154 00:08:30,080 --> 00:08:35,000 Speaker 1: long suffered under presidents who believe America should be the 155 00:08:35,000 --> 00:08:39,760 Speaker 1: world's open sewer, we look at one that actually fights. 156 00:08:39,440 --> 00:08:43,720 Speaker 2: For us and we think to ourselves, WHOA, this is wild. 157 00:08:44,240 --> 00:08:45,880 Speaker 2: I've never seen anything like it. 158 00:08:46,480 --> 00:08:50,240 Speaker 1: And you know what that really is. That's an indictment 159 00:08:50,280 --> 00:08:53,000 Speaker 1: on all the ones that came before him. That's really 160 00:08:53,040 --> 00:08:55,640 Speaker 1: what that is. I Trump went to the World Economic 161 00:08:55,679 --> 00:08:57,920 Speaker 1: Forum and spoke like this, and we all celebrated it. 162 00:08:58,080 --> 00:09:01,640 Speaker 2: I did too. But this is how your president should talk. 163 00:09:03,200 --> 00:09:06,120 Speaker 8: America is back and open for business. One thing we're 164 00:09:06,120 --> 00:09:08,440 Speaker 8: going to be demanding is we're going to be demanding 165 00:09:08,480 --> 00:09:12,000 Speaker 8: respect from other nations. We just want to be treated 166 00:09:12,000 --> 00:09:16,840 Speaker 8: fairly with other nations, because there's hardly a nation in 167 00:09:16,880 --> 00:09:18,840 Speaker 8: the world. And I blame this on us, and I 168 00:09:18,880 --> 00:09:24,200 Speaker 8: blame it on politicians that for some reason. I'm probably 169 00:09:24,280 --> 00:09:27,960 Speaker 8: mostly it's stupidity, but you could also say other reasons, 170 00:09:27,960 --> 00:09:31,679 Speaker 8: but mostly stupidity. They've allowed other nations to take advantage 171 00:09:31,720 --> 00:09:35,320 Speaker 8: of the US, and we can't allow that to happen anymore. 172 00:09:38,760 --> 00:09:41,880 Speaker 2: It's treated as radical. That's crazy. 173 00:09:42,200 --> 00:09:46,200 Speaker 1: That's how your president should speak about you, no matter 174 00:09:46,320 --> 00:09:52,800 Speaker 1: his party affiliation. It's crazy that what we're seeing right now. 175 00:09:53,160 --> 00:09:56,160 Speaker 2: Is considered crazy. That's what's nuts, and of. 176 00:09:56,120 --> 00:09:59,480 Speaker 1: Course doesn't hurt the juxtapose that with what just left. 177 00:10:00,280 --> 00:10:01,880 Speaker 2: Remember this is what happens now. 178 00:10:02,320 --> 00:10:05,640 Speaker 1: Every time America makes the horrible mistake of electing an 179 00:10:05,679 --> 00:10:09,720 Speaker 1: America hating democrat, they go overseas and they apologize for you. 180 00:10:10,400 --> 00:10:12,920 Speaker 2: We immediately rejoined the Parish agreement. 181 00:10:14,080 --> 00:10:17,520 Speaker 9: We convened major climate summits are re established. 182 00:10:20,880 --> 00:10:23,240 Speaker 2: I apologize ever pulled out of the agreement. 183 00:10:26,440 --> 00:10:32,080 Speaker 1: I apologize. American President's going on foreign soil to apologize. 184 00:10:32,720 --> 00:10:35,040 Speaker 1: That's why I came out over the weekend. Fifteen million 185 00:10:35,080 --> 00:10:37,800 Speaker 1: dollars of your money went to the Taliban to distribute 186 00:10:37,840 --> 00:10:43,440 Speaker 1: and I quote oral contraceptives, four hundred and twenty million 187 00:10:43,559 --> 00:10:47,280 Speaker 1: dollars in DEI programs cut from the government. 188 00:10:47,320 --> 00:10:48,800 Speaker 2: That was, of course your money. 189 00:10:49,760 --> 00:10:53,960 Speaker 1: Democrats get elected and just simply pillage this country, and 190 00:10:54,000 --> 00:10:57,199 Speaker 1: they invite the entire world to do the same. 191 00:10:57,640 --> 00:11:00,760 Speaker 2: It's freaking evil, it's wrong, and. 192 00:11:00,760 --> 00:11:04,560 Speaker 1: At least for four years, let's thank god that it's stopped, 193 00:11:04,720 --> 00:11:08,280 Speaker 1: or at least paused. All that may have made you uncomfortable, 194 00:11:08,600 --> 00:11:11,839 Speaker 1: but I am right. Tyler O'Neill joins us. Next, has 195 00:11:11,880 --> 00:11:14,200 Speaker 1: a lot of things on his mind before Tyler does 196 00:11:14,240 --> 00:11:19,280 Speaker 1: that at a doctor's point today, just a physical no, no, 197 00:11:19,360 --> 00:11:22,199 Speaker 1: nothing to worry about. He was looking at my numbers. 198 00:11:22,200 --> 00:11:25,000 Speaker 1: He was impressed, not the brag, and he said, what 199 00:11:25,120 --> 00:11:25,920 Speaker 1: kind of sleep you get? 200 00:11:25,920 --> 00:11:26,880 Speaker 2: I'll bet you get good. 201 00:11:26,679 --> 00:11:29,040 Speaker 1: Sleep, And I said, oh my gosh, Doc, have you 202 00:11:29,080 --> 00:11:30,360 Speaker 1: heard a dream powder from mean? 203 00:11:31,240 --> 00:11:33,520 Speaker 2: And he said no, And I. 204 00:11:33,440 --> 00:11:39,040 Speaker 1: Told him, no drug stock, sorry, no pills. 205 00:11:37,840 --> 00:11:39,000 Speaker 2: Just a cup of hot chocolate. 206 00:11:40,080 --> 00:11:43,440 Speaker 1: Only it's got melotonin and natural things in it. That'll 207 00:11:43,480 --> 00:11:46,160 Speaker 1: just have you drifting off to a peaceful sleep and 208 00:11:46,240 --> 00:11:46,960 Speaker 1: waking up. 209 00:11:47,000 --> 00:11:51,600 Speaker 2: Feeling great every single day and you. 210 00:11:51,600 --> 00:11:53,920 Speaker 1: Sleep well every night. Your entire life, even your blood 211 00:11:53,920 --> 00:11:57,319 Speaker 1: work gets better. Get some dream powder in your life. 212 00:11:57,559 --> 00:12:02,800 Speaker 1: Shotbeam dot com Jesse Kelly, We'll be back. 213 00:12:13,320 --> 00:12:17,320 Speaker 10: Who's really in control in Washington? How can the President 214 00:12:17,440 --> 00:12:20,720 Speaker 10: of the United States, someone who wields immense power, be 215 00:12:20,800 --> 00:12:24,960 Speaker 10: pressured to step aside? This summer, Americans across the country 216 00:12:25,120 --> 00:12:28,160 Speaker 10: learned that the real power in Washington does not reside 217 00:12:28,160 --> 00:12:31,200 Speaker 10: in the Oval Office. That nice constitution you learned about 218 00:12:31,240 --> 00:12:34,320 Speaker 10: in school, with its nifty checks and balances, that one 219 00:12:34,320 --> 00:12:37,200 Speaker 10: that tells you how the government works, that's a lie. Instead, 220 00:12:37,520 --> 00:12:41,040 Speaker 10: a far left network of donors props up a system 221 00:12:41,080 --> 00:12:44,760 Speaker 10: of woke nonprofits that infiltrate and advise the federal government, 222 00:12:44,920 --> 00:12:48,560 Speaker 10: sometimes in direct opposition to the President. I call this 223 00:12:48,640 --> 00:12:50,600 Speaker 10: governing behemoth the woke deplus. 224 00:12:53,480 --> 00:12:57,079 Speaker 1: I'm unreasonably excited for this book and this interview, because 225 00:12:57,160 --> 00:12:59,959 Speaker 1: this is a subject, as you know, we talk about 226 00:13:00,240 --> 00:13:02,680 Speaker 1: so much, you think so much of what you see 227 00:13:02,679 --> 00:13:05,280 Speaker 1: on television and the animals in the streets and things 228 00:13:05,320 --> 00:13:07,360 Speaker 1: like that, that it's somehow organic. 229 00:13:08,080 --> 00:13:09,560 Speaker 2: It is funded, and it. 230 00:13:09,520 --> 00:13:12,640 Speaker 1: Is organized, and it is a dark universe when you 231 00:13:12,679 --> 00:13:15,360 Speaker 1: start wading through it. So Tyler O'Neill waded through it 232 00:13:15,400 --> 00:13:17,880 Speaker 1: for us. He's the managing editor for The Daily Signal, 233 00:13:18,120 --> 00:13:20,440 Speaker 1: and of course he wrote this book. Woke to Puss 234 00:13:20,480 --> 00:13:24,360 Speaker 1: Tyler give us an overview to start out, this dark 235 00:13:24,440 --> 00:13:25,360 Speaker 1: money cabal? 236 00:13:25,640 --> 00:13:28,040 Speaker 2: What is it? Who is it? Yeah? 237 00:13:28,080 --> 00:13:31,600 Speaker 10: Thanks Jesse. So I think many Americans know a little 238 00:13:31,640 --> 00:13:34,720 Speaker 10: bit about this. They've heard the name George Soros. Most 239 00:13:34,720 --> 00:13:37,880 Speaker 10: people probably don't know that George Soros isn't the guy 240 00:13:37,920 --> 00:13:42,200 Speaker 10: calling the shots at Open Society Foundations anymore. It's his son, Alex. 241 00:13:43,080 --> 00:13:47,280 Speaker 10: But then there's also this broader network called Arabella Advisors. 242 00:13:47,320 --> 00:13:49,439 Speaker 2: They're a for profit company that have a. 243 00:13:49,360 --> 00:13:53,600 Speaker 10: Bunch of nonprofit tentacles that have offshoot from them. So 244 00:13:53,920 --> 00:13:57,520 Speaker 10: what I found, you know, I was scratching beneath the surface. 245 00:13:57,840 --> 00:14:00,960 Speaker 10: Because I decided to write this book. I've been following 246 00:14:01,000 --> 00:14:04,040 Speaker 10: an organization called the Southern Poverty Law Center, which I 247 00:14:04,040 --> 00:14:06,120 Speaker 10: think is the tip of the spear when it comes 248 00:14:06,160 --> 00:14:10,520 Speaker 10: to demonizing Conservatives and Christians in the legacy media and 249 00:14:10,600 --> 00:14:14,880 Speaker 10: government and big tech. And this organization had a surprising 250 00:14:14,920 --> 00:14:17,840 Speaker 10: amount of access in the Biden White House. And so 251 00:14:17,920 --> 00:14:21,960 Speaker 10: I started asking if this organization had access, what other 252 00:14:22,080 --> 00:14:25,880 Speaker 10: far left organizations had access. And as I as I 253 00:14:25,960 --> 00:14:28,640 Speaker 10: started to do some digging, I realized that there was 254 00:14:28,680 --> 00:14:32,720 Speaker 10: a vast network of far left activist groups that are 255 00:14:32,760 --> 00:14:35,840 Speaker 10: propped up by donors like George and Alex Soros, or 256 00:14:35,840 --> 00:14:40,920 Speaker 10: by Eric Kessler and his Arabella Advisors nonprofits, and they 257 00:14:40,960 --> 00:14:43,560 Speaker 10: have a dark money fund. They have dark money funding 258 00:14:43,600 --> 00:14:47,360 Speaker 10: schemes where they set things up to hide specifically. You know, 259 00:14:47,400 --> 00:14:50,240 Speaker 10: there's dark money, and then there's dark dark dark money. 260 00:14:50,600 --> 00:14:54,360 Speaker 10: Arabella Advisors is the latter they have. They're a for 261 00:14:54,520 --> 00:14:59,240 Speaker 10: profit company that sets up a bunch of nonprofits that 262 00:14:59,560 --> 00:15:04,560 Speaker 10: then fund fiscal sponsorships. And then those fiscal sponsorships are 263 00:15:04,600 --> 00:15:08,720 Speaker 10: where the actual work happens. So you get a donor 264 00:15:09,000 --> 00:15:11,520 Speaker 10: who will want to give to an organization or want 265 00:15:11,560 --> 00:15:16,000 Speaker 10: to do something like, for instance, stop President Trump's one 266 00:15:16,000 --> 00:15:19,840 Speaker 10: of President Trump's Supreme Court nominees, he'll give money to 267 00:15:20,280 --> 00:15:24,080 Speaker 10: one of these Arabella nonprofits. The Arabella nonprofit will then 268 00:15:24,120 --> 00:15:28,280 Speaker 10: take that money and give it to an organization like Demand. 269 00:15:28,080 --> 00:15:30,160 Speaker 2: Justice, which is essentially. 270 00:15:29,720 --> 00:15:32,760 Speaker 10: Just an arm of that Arabella nonprofit. Now it's a 271 00:15:32,840 --> 00:15:37,400 Speaker 10: separate nonprofit. But back when it was fighting Trump's Supreme 272 00:15:37,400 --> 00:15:41,440 Speaker 10: Court nominees six in twenty seventeen, it was part of 273 00:15:41,840 --> 00:15:44,320 Speaker 10: I think it was new venture fund and so the 274 00:15:44,400 --> 00:15:47,840 Speaker 10: donors can hide exactly where their money goes. And then 275 00:15:48,040 --> 00:15:52,360 Speaker 10: when Demand Justice was found, when a journalist named Gabe 276 00:15:52,400 --> 00:15:56,120 Speaker 10: Kaminski decided to ask them for their money sources, they 277 00:15:56,240 --> 00:15:59,840 Speaker 10: accidentally sent him a document revealing that they only had two. 278 00:16:00,920 --> 00:16:04,640 Speaker 10: And of course the founder of the organization suddenly was like, 279 00:16:04,720 --> 00:16:07,000 Speaker 10: oh no, don't you dare share this. If you do, 280 00:16:07,120 --> 00:16:09,360 Speaker 10: I'm going to get fired. And clearly I'm not good 281 00:16:09,360 --> 00:16:10,200 Speaker 10: at fundraising and. 282 00:16:10,160 --> 00:16:10,840 Speaker 2: All these things. 283 00:16:11,160 --> 00:16:15,680 Speaker 10: Meanwhile, this group, Demand Justice was demanding transparency from Supreme 284 00:16:15,720 --> 00:16:20,080 Speaker 10: Court justices and Supreme Court nominees, even while it fled 285 00:16:20,120 --> 00:16:23,280 Speaker 10: from transparency itself. So that's what you see on the 286 00:16:23,360 --> 00:16:26,640 Speaker 10: left with this dark money apparatus. And I found that 287 00:16:26,920 --> 00:16:31,640 Speaker 10: these dark money foundations were bankrolling leftist groups across the 288 00:16:31,680 --> 00:16:35,800 Speaker 10: spectrum groups that had tremendous impact in the Biden administration. 289 00:16:37,600 --> 00:16:40,320 Speaker 1: Okay, that's actually there's so much I could go into this, 290 00:16:40,840 --> 00:16:43,480 Speaker 1: go into with you here, Tyler, but let's focus on 291 00:16:43,520 --> 00:16:44,280 Speaker 1: that for the time being. 292 00:16:44,320 --> 00:16:46,000 Speaker 2: You mentioned in the beginning that. 293 00:16:46,440 --> 00:16:50,320 Speaker 1: Access to the president, like the SPLC, that Southern Poverty 294 00:16:50,360 --> 00:16:53,360 Speaker 1: Loss and I'm sorry that access to the president. 295 00:16:53,760 --> 00:16:55,000 Speaker 2: What does that mean? 296 00:16:55,120 --> 00:16:58,800 Speaker 1: Are they lunching every Monday? Are they the lobbying? What 297 00:16:58,800 --> 00:16:59,400 Speaker 1: does that mean? 298 00:17:00,480 --> 00:17:03,240 Speaker 10: Yes, so many of these organizations have had a lot 299 00:17:03,280 --> 00:17:06,520 Speaker 10: of meetings at the White House. And for them to 300 00:17:06,600 --> 00:17:09,520 Speaker 10: qualify in my understanding of the Woke to bus, they 301 00:17:09,560 --> 00:17:12,119 Speaker 10: have to have had meetings at the White House. They 302 00:17:12,160 --> 00:17:14,960 Speaker 10: have to have some impact on federal policy. And in 303 00:17:15,000 --> 00:17:18,720 Speaker 10: the case of the Southern Poverty Law Center, the president 304 00:17:18,760 --> 00:17:23,200 Speaker 10: of the Southern Poverty Law Center, Margaret Wong, claimed, and 305 00:17:22,480 --> 00:17:26,439 Speaker 10: I see evidence that she's probably telling the truth, that 306 00:17:26,520 --> 00:17:29,560 Speaker 10: as soon as Biden entered the White House, he had 307 00:17:29,680 --> 00:17:33,120 Speaker 10: parts of his administration going to the Southern Poverty Law 308 00:17:33,160 --> 00:17:36,320 Speaker 10: Center asking them for advice on how to combat the 309 00:17:36,359 --> 00:17:39,840 Speaker 10: domestic terrorism threat. This is an organization that shouldn't be 310 00:17:39,880 --> 00:17:42,760 Speaker 10: trusted on domestic terrorism at all. But of course one 311 00:17:42,800 --> 00:17:44,880 Speaker 10: of the other big things that happened. Not only did 312 00:17:44,880 --> 00:17:50,840 Speaker 10: the FBI cite the SPLC on its notorious anti Catholic memo, which, 313 00:17:50,880 --> 00:17:53,760 Speaker 10: of course, thankfully they later withdrew and said didn't meet 314 00:17:53,760 --> 00:17:58,440 Speaker 10: their standards. Huh, I wonder why, but they cited them there. 315 00:17:58,480 --> 00:18:02,560 Speaker 10: And then President Biden nominated an SBLC attorney by the 316 00:18:02,640 --> 00:18:05,919 Speaker 10: name of Nancy Abudu to a top federal judgeship, the 317 00:18:05,920 --> 00:18:10,399 Speaker 10: Eleventh Circuit Court of Appeals, and she got confirmed. Now 318 00:18:10,880 --> 00:18:14,920 Speaker 10: that influence is bad enough, but when you look at 319 00:18:15,119 --> 00:18:19,800 Speaker 10: organizations like the National Education Association the American Federation of Teachers, 320 00:18:20,400 --> 00:18:24,200 Speaker 10: the presidents of those two groups were with President Biden 321 00:18:24,440 --> 00:18:27,800 Speaker 10: and what then President thank god he's no longer president. 322 00:18:28,119 --> 00:18:30,879 Speaker 10: Then President Biden and the first Lady at the White 323 00:18:30,880 --> 00:18:34,160 Speaker 10: House on the first full day of his administration. 324 00:18:34,760 --> 00:18:36,280 Speaker 2: So the woe to Puss. 325 00:18:36,320 --> 00:18:40,000 Speaker 10: Overall, they have different These of these organizations have different 326 00:18:40,080 --> 00:18:43,000 Speaker 10: levels of access, but all of them have access, and 327 00:18:43,040 --> 00:18:46,240 Speaker 10: some of them had the ability to really call the shots. 328 00:18:46,560 --> 00:18:50,400 Speaker 10: I mean, we saw last year when the Biden White 329 00:18:50,440 --> 00:18:54,240 Speaker 10: House released a statement suggesting they were backing away from 330 00:18:54,280 --> 00:18:59,920 Speaker 10: supporting transgender surgeries for children from minors. Immediately, the Human 331 00:19:00,160 --> 00:19:04,080 Speaker 10: Rights Campaign got their people together and started calling and 332 00:19:04,119 --> 00:19:06,919 Speaker 10: bombarding the White House saying, no, you can't do this, 333 00:19:07,000 --> 00:19:10,800 Speaker 10: you need to change your message. And a few hours 334 00:19:10,840 --> 00:19:14,439 Speaker 10: after the White House's message was first published, there was 335 00:19:14,480 --> 00:19:17,560 Speaker 10: a correction and the White House reached out and changed 336 00:19:17,560 --> 00:19:22,080 Speaker 10: their message to weaken their change, and so they started, 337 00:19:22,440 --> 00:19:26,240 Speaker 10: you know, immediately after they changed their message, the Human 338 00:19:26,320 --> 00:19:29,600 Speaker 10: Rights Campaign president sent an email to all the members 339 00:19:29,640 --> 00:19:32,560 Speaker 10: of the Human Rights Campaign saying, thank you, this is 340 00:19:32,720 --> 00:19:36,159 Speaker 10: our impact. Thank you for pressuring the White House to 341 00:19:36,280 --> 00:19:39,480 Speaker 10: change its message here and so these are the levels 342 00:19:39,520 --> 00:19:43,640 Speaker 10: it sometimes is exposed in black and white. It's sometimes 343 00:19:43,720 --> 00:19:47,160 Speaker 10: a little bit harder to gauge exactly how much influence 344 00:19:47,200 --> 00:19:49,600 Speaker 10: they had. But in each of the cases I lay 345 00:19:49,600 --> 00:19:53,320 Speaker 10: out in the book, there's a clear connection between either 346 00:19:53,359 --> 00:19:57,400 Speaker 10: the staff of a left wing organization and the administrative 347 00:19:57,400 --> 00:20:00,879 Speaker 10: state or that interaction with the White House. 348 00:20:02,840 --> 00:20:06,240 Speaker 1: Tyler, could you especially can because you wrote the book 349 00:20:06,240 --> 00:20:09,359 Speaker 1: and this is a subject I'm fanatical about, can you 350 00:20:09,440 --> 00:20:12,480 Speaker 1: explain the power dynamics to me? Like, for instance, the 351 00:20:12,840 --> 00:20:16,480 Speaker 1: Human Rights Campaign, one of the most soulless comic organizations 352 00:20:16,560 --> 00:20:19,680 Speaker 1: out there, They make a phone call, they rally the troops, 353 00:20:20,080 --> 00:20:22,919 Speaker 1: you get the White House, the President or whoever was 354 00:20:22,920 --> 00:20:25,199 Speaker 1: holding him up at the time. You get them to 355 00:20:25,280 --> 00:20:28,280 Speaker 1: reverse a policy, policy. 356 00:20:27,840 --> 00:20:31,040 Speaker 2: Platform of some kind. That's big boy power. 357 00:20:31,440 --> 00:20:34,639 Speaker 1: So why if you're Joe Biden and you know the 358 00:20:34,720 --> 00:20:38,760 Speaker 1: Tranne stuff, especially training with kids stuff's unpopular, why wouldn't 359 00:20:38,800 --> 00:20:42,920 Speaker 1: you just tell them no, go pound sand What consequences 360 00:20:43,040 --> 00:20:45,240 Speaker 1: come towards the president if he does that. 361 00:20:46,480 --> 00:20:48,200 Speaker 2: Yeah, that is an excellent question. 362 00:20:48,640 --> 00:20:51,000 Speaker 10: I don't fully have the answer to that, but I 363 00:20:51,040 --> 00:20:54,240 Speaker 10: do know that the Human Rights Campaign is what I 364 00:20:54,280 --> 00:20:56,120 Speaker 10: call the LGBTQ mafia. 365 00:20:56,600 --> 00:20:57,480 Speaker 2: And what they do. 366 00:20:57,600 --> 00:21:01,040 Speaker 10: You know, you've probably covered this a great deal. They 367 00:21:01,080 --> 00:21:04,679 Speaker 10: have a corporate equality Index, they have other indexes where 368 00:21:04,840 --> 00:21:07,960 Speaker 10: they say, if you're a company and you don't toe 369 00:21:08,000 --> 00:21:11,119 Speaker 10: the line on everything they want, then you get a 370 00:21:11,160 --> 00:21:15,959 Speaker 10: bad rating. And then when venture capitalists who use environmental, 371 00:21:16,000 --> 00:21:19,280 Speaker 10: social and governance goals to invest that's the ESG movement. 372 00:21:19,720 --> 00:21:23,200 Speaker 10: When they look at companies to invest in, they say, no, 373 00:21:23,240 --> 00:21:25,080 Speaker 10: I'm not going to invest there if they have a 374 00:21:25,119 --> 00:21:28,920 Speaker 10: poor score on the Human Rights campaigns index. Thankfully, in 375 00:21:28,960 --> 00:21:32,000 Speaker 10: the past year, the Human Rights Campaign has already lost 376 00:21:32,040 --> 00:21:34,720 Speaker 10: a great deal of steam with a lot of companies 377 00:21:34,800 --> 00:21:38,320 Speaker 10: exiting the index, and in fact, last week Target announced 378 00:21:38,359 --> 00:21:41,040 Speaker 10: that they would even exit the index, which is a 379 00:21:41,119 --> 00:21:45,480 Speaker 10: huge win for free markets for the ability of American 380 00:21:45,520 --> 00:21:49,440 Speaker 10: consumers to not be forced to accept this woe agenda 381 00:21:50,320 --> 00:21:55,200 Speaker 10: just when they go shopping. But the problem is these 382 00:21:55,240 --> 00:21:58,199 Speaker 10: groups still have a tremendous impact, and part of the 383 00:21:58,240 --> 00:22:01,800 Speaker 10: impact that the Human Rights Camp PA has it's this 384 00:22:01,920 --> 00:22:04,760 Speaker 10: big donor cabal. You know, you have your Alex Soros's, 385 00:22:04,800 --> 00:22:07,920 Speaker 10: your George Soros's. The money that they're funding to these 386 00:22:07,920 --> 00:22:11,440 Speaker 10: activist groups keeps them in business and keeps them pushing 387 00:22:11,440 --> 00:22:14,240 Speaker 10: the leftist narrative. Then you have the fact that the 388 00:22:14,320 --> 00:22:16,800 Speaker 10: Human Rights Campaign was taken seriously by a lot of 389 00:22:16,840 --> 00:22:20,840 Speaker 10: activists in the ESG movement, and so they have influence there. 390 00:22:21,240 --> 00:22:23,679 Speaker 10: And then by the time it gets to somebody like 391 00:22:23,800 --> 00:22:27,480 Speaker 10: President Biden, and of course President Biden Vice President Harris, 392 00:22:27,880 --> 00:22:31,080 Speaker 10: they went and spoke at many Human Rights Campaign events. 393 00:22:31,320 --> 00:22:34,320 Speaker 10: They're very closely tied to these people. I do believe 394 00:22:34,400 --> 00:22:38,520 Speaker 10: that to some degree, Biden, you know, started to support 395 00:22:38,560 --> 00:22:42,840 Speaker 10: some of this radical stuff. But it is interesting to 396 00:22:42,920 --> 00:22:47,080 Speaker 10: know who exactly was pulling the strings there, because Biden 397 00:22:47,720 --> 00:22:50,600 Speaker 10: is an old school Democrat. I think he's trying to 398 00:22:50,720 --> 00:22:53,520 Speaker 10: navigate and find where the middle of his Democratic Party 399 00:22:53,760 --> 00:22:58,560 Speaker 10: was when he was president, and these loud voices from 400 00:22:58,600 --> 00:23:02,640 Speaker 10: activist groups like the Human Rights Campaign are pushing him, 401 00:23:02,680 --> 00:23:05,879 Speaker 10: giving him a false sense of where the American people 402 00:23:06,000 --> 00:23:08,800 Speaker 10: are and even where a lot of Democrats are on 403 00:23:08,920 --> 00:23:09,640 Speaker 10: these issues. 404 00:23:11,480 --> 00:23:12,800 Speaker 2: Who funded the Open Border? 405 00:23:15,560 --> 00:23:19,000 Speaker 10: Oh gosh, Well, so it's it's a little complicated, but 406 00:23:19,119 --> 00:23:23,120 Speaker 10: I can say for certain that the left stark money 407 00:23:23,200 --> 00:23:27,320 Speaker 10: network propped up organizations like the ACLU, the American Civil 408 00:23:27,359 --> 00:23:31,120 Speaker 10: Liberties Union, and the Center for American Progress, and they 409 00:23:31,160 --> 00:23:34,439 Speaker 10: sent millions of dollars to these organizations. So you you 410 00:23:34,520 --> 00:23:39,520 Speaker 10: have George Soros Open Society foundations, you have nonprofits created 411 00:23:39,560 --> 00:23:43,679 Speaker 10: by the Arabella Advisors for profit company, and you have 412 00:23:43,720 --> 00:23:48,040 Speaker 10: groups like the Tides Foundation where they're they're directing this 413 00:23:48,160 --> 00:23:52,480 Speaker 10: money to organizations that called on Biden to change the 414 00:23:52,520 --> 00:23:54,880 Speaker 10: way that the government works. And so the main thing 415 00:23:54,920 --> 00:23:58,439 Speaker 10: with the open was and I think this is this 416 00:23:58,560 --> 00:24:02,960 Speaker 10: is almost plain his day. The Center for American Progress 417 00:24:03,080 --> 00:24:08,040 Speaker 10: and the ACLU released documents where they said, what we 418 00:24:08,119 --> 00:24:09,919 Speaker 10: need to do from the government, What we need to 419 00:24:09,920 --> 00:24:14,640 Speaker 10: see is the Department of Homeland Security changing from treating 420 00:24:15,160 --> 00:24:20,119 Speaker 10: immigration as a crime to be enforced against and start 421 00:24:20,119 --> 00:24:22,639 Speaker 10: treating it as an asset to be managed. 422 00:24:23,240 --> 00:24:24,640 Speaker 2: And this is exactly the. 423 00:24:24,600 --> 00:24:28,159 Speaker 10: Sort of language, the sort of idea that led to 424 00:24:28,440 --> 00:24:32,560 Speaker 10: Biden's open border policies that led him to change all 425 00:24:32,600 --> 00:24:35,800 Speaker 10: of the structures that Trump had in place and just 426 00:24:36,320 --> 00:24:38,880 Speaker 10: open the border of full howk have you know, catch 427 00:24:38,920 --> 00:24:41,960 Speaker 10: and release instead of actually detaining people, which the law 428 00:24:42,040 --> 00:24:46,080 Speaker 10: clearly states, to get rid of the safe third country deals, 429 00:24:46,080 --> 00:24:49,040 Speaker 10: to get rid of remain in Mexico. And a lot 430 00:24:49,040 --> 00:24:52,639 Speaker 10: of that came from the strategies that they were developing 431 00:24:52,680 --> 00:24:57,000 Speaker 10: in the Biden transition, where you had staff with these 432 00:24:57,119 --> 00:25:00,800 Speaker 10: left wing groups in the Biden transition in leadership for 433 00:25:00,880 --> 00:25:07,280 Speaker 10: DHS implementing this idea through the federal government. And so 434 00:25:07,359 --> 00:25:09,959 Speaker 10: step by step as Biden is about to enter office, 435 00:25:10,640 --> 00:25:15,600 Speaker 10: you see this left wing influence campaign saying we need 436 00:25:15,640 --> 00:25:17,960 Speaker 10: to change the way we deal with immigration, and we 437 00:25:18,080 --> 00:25:22,480 Speaker 10: essentially need to you know, treat these people, give them 438 00:25:22,480 --> 00:25:26,800 Speaker 10: the welcome that instead of enforcing our laws, enforcing our borders, 439 00:25:27,200 --> 00:25:32,640 Speaker 10: and that mentality is what animated Biden's policy. So even 440 00:25:32,680 --> 00:25:35,560 Speaker 10: though you know it's not one to one, I can't 441 00:25:35,560 --> 00:25:39,840 Speaker 10: say George Soros is exactly responsible for the open border, 442 00:25:40,240 --> 00:25:45,479 Speaker 10: but his funding network and the other organizations connected with it, 443 00:25:45,520 --> 00:25:49,960 Speaker 10: and that often fund these same groups were bankrolling activists 444 00:25:50,240 --> 00:25:52,639 Speaker 10: who pushed Biden in this direction, and he went in 445 00:25:52,680 --> 00:25:57,280 Speaker 10: this direction. And now, thank god, we have these policies 446 00:25:57,320 --> 00:25:58,200 Speaker 10: largely reversed. 447 00:25:58,640 --> 00:25:59,880 Speaker 2: But these activist groups aren't. 448 00:26:00,440 --> 00:26:03,439 Speaker 10: I mean, right now, the American Civil Liberties Union is 449 00:26:03,480 --> 00:26:06,879 Speaker 10: filing lawsuits, gearing up to file lawsuits to prevent Trump 450 00:26:07,320 --> 00:26:11,520 Speaker 10: from carrying out his mass deportations of illegal aliens. And 451 00:26:11,960 --> 00:26:15,040 Speaker 10: you know, the Human rights the Center for American Progress 452 00:26:15,400 --> 00:26:18,200 Speaker 10: is also gearing up to oppose this. And we also 453 00:26:18,280 --> 00:26:21,440 Speaker 10: still have a lot of federal bureaucrats from within these 454 00:26:21,480 --> 00:26:24,919 Speaker 10: agencies who don't support what Trump is doing. And I 455 00:26:24,960 --> 00:26:28,119 Speaker 10: saw this crazy poll. I think it was really revealing. 456 00:26:28,640 --> 00:26:34,160 Speaker 10: Sixty four percent of Washington, DC based federal employees who 457 00:26:34,240 --> 00:26:37,280 Speaker 10: voted for Kamala Harris in the last election said they 458 00:26:37,320 --> 00:26:41,520 Speaker 10: would not implement a lawful Trump order if they thought 459 00:26:41,520 --> 00:26:42,600 Speaker 10: it was bad policy. 460 00:26:45,080 --> 00:26:49,640 Speaker 1: Geez, Tyler O'Neal, that was outstanding. You come back soon, 461 00:26:49,720 --> 00:26:52,879 Speaker 1: go buy that book. Woke to Puss. I'm so fascinated 462 00:26:52,880 --> 00:26:55,920 Speaker 1: by all this. Thank you for right now, woke to Puss. 463 00:26:56,080 --> 00:26:59,719 Speaker 1: Don't pick that bad boy up. Told you so, I'll 464 00:26:59,760 --> 00:27:04,919 Speaker 1: paid all of it. Nothing real. Everything is fake except 465 00:27:05,000 --> 00:27:07,640 Speaker 1: for pure Talk. That's real and the savings are real. 466 00:27:07,800 --> 00:27:10,720 Speaker 1: Did you realize that save a bunch of money when 467 00:27:10,720 --> 00:27:11,640 Speaker 1: you switch to pure Talk. 468 00:27:11,880 --> 00:27:14,280 Speaker 2: That's definitely real. You'll know the first time you get 469 00:27:14,320 --> 00:27:14,720 Speaker 2: your bill. 470 00:27:14,840 --> 00:27:18,080 Speaker 1: Oh well, pure Talk's for real because you're paying. 471 00:27:17,800 --> 00:27:20,480 Speaker 2: Way too much if Verizon, AT and T and T Mobile, 472 00:27:20,640 --> 00:27:21,080 Speaker 2: And on. 473 00:27:21,000 --> 00:27:22,960 Speaker 1: Top of that, you know we just talked about all 474 00:27:22,960 --> 00:27:26,679 Speaker 1: that DEIESG stuff. Go look up your cell phone company 475 00:27:26,720 --> 00:27:30,359 Speaker 1: and see what they do with your money. That left 476 00:27:30,400 --> 00:27:33,760 Speaker 1: wing funding network we just heard about, Oh scary right, 477 00:27:33,840 --> 00:27:34,560 Speaker 1: who funds that? 478 00:27:37,240 --> 00:27:38,879 Speaker 2: You do? I have? 479 00:27:39,160 --> 00:27:42,119 Speaker 1: I had Verizon before, AT and T, T Mobile Corporate 480 00:27:42,119 --> 00:27:45,719 Speaker 1: America is knee deep involved in funding that crap. So 481 00:27:45,760 --> 00:27:48,359 Speaker 1: stop doing that. Switch to pure talk. It's fast, it's easy. 482 00:27:48,960 --> 00:27:52,240 Speaker 1: With a qualifying plan, you get a free phone right now, 483 00:27:52,800 --> 00:27:55,800 Speaker 1: puretalk dot com, slash Jesse TV. 484 00:27:56,320 --> 00:27:56,880 Speaker 2: We'll be back. 485 00:28:05,560 --> 00:28:07,919 Speaker 1: Well, there's been a heaping helping of winning for the 486 00:28:08,000 --> 00:28:11,119 Speaker 1: last week, that is for sure, and we should not 487 00:28:11,359 --> 00:28:13,879 Speaker 1: at all forget about the wonderful men and women in 488 00:28:13,920 --> 00:28:17,399 Speaker 1: the military, especially those kicked out, who are getting some 489 00:28:17,840 --> 00:28:21,439 Speaker 1: semblance of justice right now because of the dumpage of 490 00:28:21,440 --> 00:28:25,600 Speaker 1: the vaccine mandate getting people reinstated, we're dumping the training madness. 491 00:28:25,680 --> 00:28:28,680 Speaker 1: Joining me now a couple ladies from the wonderful Independent 492 00:28:28,760 --> 00:28:33,879 Speaker 1: Women's Forum and Reimmuse managing editor and Beth Barlado, senior 493 00:28:34,080 --> 00:28:35,200 Speaker 1: legal advisor. 494 00:28:35,280 --> 00:28:36,560 Speaker 2: Beth, let's start there. 495 00:28:37,000 --> 00:28:39,840 Speaker 1: You were one of the ones all over these vaccine 496 00:28:39,880 --> 00:28:41,320 Speaker 1: mandates very early on. 497 00:28:41,520 --> 00:28:42,200 Speaker 2: Credit to you. 498 00:28:42,320 --> 00:28:44,000 Speaker 1: I guess I'll just hand it over and let you 499 00:28:44,040 --> 00:28:44,880 Speaker 1: spike the football. 500 00:28:45,760 --> 00:28:51,280 Speaker 5: Sure well, Trump is keeping his promises to eradicate radical 501 00:28:51,360 --> 00:28:55,000 Speaker 5: gender ideology, not only from the federal government, from the military, 502 00:28:55,360 --> 00:28:58,000 Speaker 5: and I commend him for that. The military is no 503 00:28:58,200 --> 00:29:03,520 Speaker 5: place for experiments, and it's essential that our service men 504 00:29:03,560 --> 00:29:06,600 Speaker 5: and women that they have the strength and the physical 505 00:29:06,600 --> 00:29:11,520 Speaker 5: abilities to actually meet the rigorous requirements to be in 506 00:29:11,560 --> 00:29:14,800 Speaker 5: our military. And I really think that these executive orders 507 00:29:14,800 --> 00:29:20,280 Speaker 5: today they actually highlight the hypocrisy of this woke radical ideology. 508 00:29:20,800 --> 00:29:25,520 Speaker 5: We have service members who are actually being encouraged to 509 00:29:26,920 --> 00:29:34,200 Speaker 5: take experimental cross sex hormones and other procedures and surgeries, and. 510 00:29:34,120 --> 00:29:37,240 Speaker 7: That's okay, and they're allowed in our military. Yet, as 511 00:29:37,280 --> 00:29:38,600 Speaker 7: you mentioned in your opening. 512 00:29:38,840 --> 00:29:42,360 Speaker 5: We have thousands of military members who have been discharged 513 00:29:42,400 --> 00:29:46,240 Speaker 5: because they refused to take the experimental COVID JAB. So 514 00:29:46,520 --> 00:29:49,600 Speaker 5: I think that these executive orders are righting the wrongs 515 00:29:49,640 --> 00:29:50,880 Speaker 5: from the past administration. 516 00:29:51,080 --> 00:29:52,720 Speaker 7: And I couldn't be more thrilled. 517 00:29:54,320 --> 00:29:58,000 Speaker 1: Beth, what do you make of this THEI chainsaw Trump 518 00:29:58,120 --> 00:30:01,120 Speaker 1: is bringing to the place, and I mean the whole place, military, 519 00:30:01,240 --> 00:30:04,760 Speaker 1: top the bottom, four hundred and twenty million in cuts, 520 00:30:04,800 --> 00:30:07,000 Speaker 1: just dumping all these dirty comedies onto the street. 521 00:30:07,040 --> 00:30:08,800 Speaker 2: I think it's glorious. 522 00:30:09,000 --> 00:30:11,720 Speaker 7: It is glorious. I love that use of the word. 523 00:30:12,400 --> 00:30:15,360 Speaker 7: It's glorious. We have a new day. 524 00:30:15,560 --> 00:30:18,320 Speaker 5: I am looking so forward to the next four years. 525 00:30:18,720 --> 00:30:21,760 Speaker 5: DEI has no place in America. 526 00:30:22,000 --> 00:30:25,800 Speaker 7: Period. We are a country that needs to. 527 00:30:27,040 --> 00:30:32,760 Speaker 5: Have our businesses, our federal government, our state government, private entities, 528 00:30:32,800 --> 00:30:34,280 Speaker 5: no matter what across the board. 529 00:30:34,360 --> 00:30:34,920 Speaker 7: It needs to be. 530 00:30:34,880 --> 00:30:37,200 Speaker 5: Based on merit, and it needs to be based at 531 00:30:37,200 --> 00:30:42,560 Speaker 5: our qualifications. So DEI has no place, and Trump is 532 00:30:42,880 --> 00:30:46,200 Speaker 5: throwing it out the door, and we here at independent 533 00:30:46,200 --> 00:30:47,320 Speaker 5: women could not be happier. 534 00:30:49,720 --> 00:30:54,680 Speaker 1: Andrea, talk to me about the nutty stuff they're still 535 00:30:54,800 --> 00:30:58,200 Speaker 1: teaching in schools, because right now we're all patting ourselves 536 00:30:58,200 --> 00:30:59,760 Speaker 1: on the back. We're getting rid of all the d 537 00:31:00,120 --> 00:31:01,960 Speaker 1: I grap and this is going to go, and that's 538 00:31:02,000 --> 00:31:04,560 Speaker 1: going to go. But locally, we still have so many 539 00:31:04,600 --> 00:31:09,360 Speaker 1: of these apparatricks running the school system, right, Jesse, you 540 00:31:09,400 --> 00:31:12,800 Speaker 1: know this all starts from the top down, but it's 541 00:31:12,960 --> 00:31:17,920 Speaker 1: up to every single individual state and every single individual school. 542 00:31:17,560 --> 00:31:22,920 Speaker 11: Board to make reforms based on Trump's executive orders. So 543 00:31:23,000 --> 00:31:26,560 Speaker 11: Trump's executive orders are incredible, and at Independent Women, we 544 00:31:26,600 --> 00:31:29,160 Speaker 11: are so proud of all of the progress that he's 545 00:31:29,400 --> 00:31:32,400 Speaker 11: been making this past week. But you know, we can't 546 00:31:32,400 --> 00:31:39,200 Speaker 11: really change things unless each individual state, city, county, whatever 547 00:31:39,240 --> 00:31:42,880 Speaker 11: you have it makes the same changes that he's making. 548 00:31:44,080 --> 00:31:49,120 Speaker 11: You know, growing up in ultraliberal California, I'm very used 549 00:31:49,160 --> 00:31:53,440 Speaker 11: to progressive ideology being ramped into each student's brain. It 550 00:31:53,560 --> 00:31:56,440 Speaker 11: was ramped into mine. I was growing up a Democrat 551 00:31:56,480 --> 00:32:00,520 Speaker 11: by default. I would say, almost every single one of 552 00:32:00,560 --> 00:32:05,360 Speaker 11: my high school friends ended up identifying as transgender. All 553 00:32:05,440 --> 00:32:08,680 Speaker 11: of my female friends who I was in high school with, 554 00:32:09,720 --> 00:32:13,000 Speaker 11: all of my closest female friends are now on testosterone 555 00:32:13,520 --> 00:32:16,160 Speaker 11: and Jesse, it's a little bit awkward to admit it, 556 00:32:16,200 --> 00:32:20,560 Speaker 11: but my high school ex boyfriend now uses female pronouns, 557 00:32:20,600 --> 00:32:24,160 Speaker 11: has a female name and even has breasts. 558 00:32:26,480 --> 00:32:29,200 Speaker 1: Oh good god, how'd you come out of that? 559 00:32:29,280 --> 00:32:30,760 Speaker 2: Okay, you look like you fared well. 560 00:32:32,040 --> 00:32:36,480 Speaker 11: You know, I underwent a very strong political transformation. I 561 00:32:36,600 --> 00:32:41,840 Speaker 11: credit it to having an open mind and actually trying 562 00:32:41,840 --> 00:32:43,840 Speaker 11: to have a dialogue with the other side where I 563 00:32:43,960 --> 00:32:47,880 Speaker 11: realized everything that I had learned was actually wrong. And 564 00:32:48,080 --> 00:32:51,360 Speaker 11: you know it's it helped to have stories that I 565 00:32:51,400 --> 00:32:55,640 Speaker 11: could put faces to concepts, and that's what really interested 566 00:32:55,720 --> 00:32:58,840 Speaker 11: me in my work at Independent Women. It's what really 567 00:32:58,920 --> 00:33:01,880 Speaker 11: encouraged me to get stars did with Independent Women where 568 00:33:02,360 --> 00:33:05,040 Speaker 11: my colleague Kelsey Bullard was telling the stories of de 569 00:33:05,200 --> 00:33:09,800 Speaker 11: transitioners and that topic really hit hard to me because 570 00:33:09,840 --> 00:33:12,719 Speaker 11: I knew so many people who were identifying as trans 571 00:33:13,160 --> 00:33:21,160 Speaker 11: gender and undergoing medicalization. When I started to understand how 572 00:33:21,240 --> 00:33:24,680 Speaker 11: it can be changed from a policy standpoint, that's what 573 00:33:24,760 --> 00:33:27,120 Speaker 11: really intrigued me with my work with Independent Women and 574 00:33:27,520 --> 00:33:30,720 Speaker 11: now as managing editor for IW Features. 575 00:33:31,560 --> 00:33:32,080 Speaker 2: How about that? 576 00:33:32,200 --> 00:33:34,000 Speaker 1: Yeah, I remember we had Kelsey on to talk about 577 00:33:34,040 --> 00:33:37,320 Speaker 1: that was fascinating and freaking horrifying. Beth, all this crap 578 00:33:37,360 --> 00:33:40,040 Speaker 1: they do to kids at the local level. This seems 579 00:33:40,080 --> 00:33:43,440 Speaker 1: to be your particular area of expertise? Is it illegal? 580 00:33:43,920 --> 00:33:46,280 Speaker 1: I know what's unethical, and I know that it's insane, 581 00:33:46,320 --> 00:33:48,040 Speaker 1: and I know it's damaging, and I get all that, 582 00:33:48,200 --> 00:33:51,959 Speaker 1: But are there legal ways we can stop a local 583 00:33:52,040 --> 00:33:56,520 Speaker 1: jurisdiction in California where all Andrea's friends went crazy tranning. 584 00:33:56,720 --> 00:33:57,920 Speaker 2: Can we stop them from doing that? 585 00:33:59,240 --> 00:34:03,480 Speaker 5: Well, I could kind of bounce off of Andrea. What 586 00:34:03,560 --> 00:34:06,400 Speaker 5: she was saying is, I'm admitted to practice in New York. 587 00:34:06,520 --> 00:34:09,160 Speaker 5: So I've been a New York attorney for nearly thirty 588 00:34:09,200 --> 00:34:12,160 Speaker 5: two years, and so I've seen it. I fought it, 589 00:34:12,239 --> 00:34:13,920 Speaker 5: and I have fought it all the way from the 590 00:34:13,960 --> 00:34:16,400 Speaker 5: school boards all the way into the Supreme Court in 591 00:34:17,080 --> 00:34:20,640 Speaker 5: the Appellate Division. It's very difficult to be able to 592 00:34:20,680 --> 00:34:26,440 Speaker 5: stop this locally and statewide until the states get on board. 593 00:34:26,480 --> 00:34:29,440 Speaker 5: So what President Trump just did on day one of 594 00:34:29,480 --> 00:34:33,000 Speaker 5: his administration is he signed that executive order that he 595 00:34:33,160 --> 00:34:35,840 Speaker 5: said that the policy of the United States is to 596 00:34:35,880 --> 00:34:37,400 Speaker 5: recognize two sexes. 597 00:34:37,120 --> 00:34:38,000 Speaker 7: Male and female. 598 00:34:38,160 --> 00:34:41,120 Speaker 5: And he defined male and female, and he also said 599 00:34:41,160 --> 00:34:44,520 Speaker 5: that it does not include gender identity, that sex is 600 00:34:44,560 --> 00:34:45,320 Speaker 5: not a synonym. 601 00:34:45,719 --> 00:34:49,680 Speaker 7: We applaud that executive order. It is brilliantly drafted, but 602 00:34:49,800 --> 00:34:50,879 Speaker 7: the issue with that. 603 00:34:50,920 --> 00:34:53,960 Speaker 5: It's not an issue, but the problem is it only 604 00:34:54,000 --> 00:34:56,960 Speaker 5: applies to the federal government. Applies to the regulations and 605 00:34:57,000 --> 00:34:58,600 Speaker 5: the policies within the federal government. 606 00:34:58,640 --> 00:35:00,480 Speaker 7: So we need the states to get on board. 607 00:35:00,719 --> 00:35:02,760 Speaker 5: The states have got to step up to the plate. 608 00:35:02,920 --> 00:35:06,239 Speaker 5: They have got to pass sex based legislation. 609 00:35:06,680 --> 00:35:09,360 Speaker 7: We had eight of We had eight states last year. 610 00:35:09,160 --> 00:35:13,279 Speaker 5: In twenty twenty four past sex based legislation. This year, 611 00:35:13,360 --> 00:35:16,719 Speaker 5: Independent Women is now working with fourteen additional states. That's 612 00:35:16,760 --> 00:35:19,840 Speaker 5: basically all I've been doing since January first, and so 613 00:35:19,960 --> 00:35:21,080 Speaker 5: we are encouraged. 614 00:35:21,840 --> 00:35:24,040 Speaker 7: We are going to do all we can to. 615 00:35:24,000 --> 00:35:26,800 Speaker 5: Be able to get legislation passed in the state level. 616 00:35:27,080 --> 00:35:30,520 Speaker 5: This week alone, I'm testifying in two different states within 617 00:35:30,560 --> 00:35:34,040 Speaker 5: their legislatures to support sex bas based legislation. 618 00:35:34,520 --> 00:35:36,880 Speaker 7: But it has to get passed at the state level 619 00:35:37,200 --> 00:35:38,640 Speaker 7: to be able to stop this. 620 00:35:39,120 --> 00:35:42,919 Speaker 5: And you know, it's permeated our entire lives, not only 621 00:35:42,960 --> 00:35:44,759 Speaker 5: in the schools, but it's also. 622 00:35:44,560 --> 00:35:46,719 Speaker 7: In you know, everything that we do. 623 00:35:46,840 --> 00:35:49,279 Speaker 5: It's part of our culture, it's in society, it's in 624 00:35:49,320 --> 00:35:52,680 Speaker 5: our laws, it's in our regulations. And thank god that 625 00:35:52,719 --> 00:35:56,280 Speaker 5: Trump is stopping this in its tracks within the federal government. 626 00:35:56,440 --> 00:35:59,600 Speaker 5: But the states also have to pass sex based legislation 627 00:35:59,640 --> 00:36:00,120 Speaker 5: to be able. 628 00:36:00,200 --> 00:36:02,239 Speaker 7: To keep boys out of girls' sports and. 629 00:36:02,200 --> 00:36:06,279 Speaker 5: To be able to keep boys out of women's private spaces. 630 00:36:08,200 --> 00:36:13,840 Speaker 1: Andrea Beth appreciate you both very much. All right, speaking 631 00:36:13,880 --> 00:36:19,680 Speaker 1: of all well LGBTQ issues and whatnot, Steve Days is 632 00:36:19,719 --> 00:36:21,920 Speaker 1: going to join us next to talk about Lindsey Graham. 633 00:36:22,000 --> 00:36:33,319 Speaker 12: Hang on, do you believe that President Trump was wrong 634 00:36:33,400 --> 00:36:36,200 Speaker 12: to issue these blanket pardons to the January. 635 00:36:35,760 --> 00:36:36,640 Speaker 2: Sixth number one? 636 00:36:36,680 --> 00:36:38,440 Speaker 4: I have the legal authority to do it, but I 637 00:36:38,640 --> 00:36:42,520 Speaker 4: fear that you will get more violence. Parting the people 638 00:36:42,520 --> 00:36:44,480 Speaker 4: who went into the capital and beat up a police 639 00:36:44,560 --> 00:36:46,040 Speaker 4: officer violently. 640 00:36:47,040 --> 00:36:47,799 Speaker 2: I think was a. 641 00:36:47,719 --> 00:36:51,279 Speaker 4: Mistake because it seems to suggest that's an okay thing 642 00:36:51,320 --> 00:36:51,600 Speaker 4: to do. 643 00:36:54,280 --> 00:36:57,640 Speaker 2: Bendsey Graham thinks it's a mistake. And that's so funny 644 00:36:57,680 --> 00:37:00,080 Speaker 2: because Lindsay Graham. 645 00:37:00,080 --> 00:37:04,040 Speaker 1: It's from blood red South Carolina. And one of the 646 00:37:04,080 --> 00:37:07,400 Speaker 1: reasons Lindsey Graham is still in his seat is because 647 00:37:07,440 --> 00:37:11,120 Speaker 1: Donald Trump has run cover for that man constantly. He'll 648 00:37:11,120 --> 00:37:14,320 Speaker 1: bring him up on stage and the crowd booz oh Lindsey, 649 00:37:14,480 --> 00:37:16,839 Speaker 1: and then Trump says, no, no, he's my guy. And 650 00:37:16,920 --> 00:37:19,200 Speaker 1: so Trump Pardons a bunch of guys, and Lindsey comes 651 00:37:19,239 --> 00:37:21,000 Speaker 1: out and knife and right in the back. It's an 652 00:37:21,000 --> 00:37:23,359 Speaker 1: interesting little planet we live in. Joining me now, Steve 653 00:37:23,440 --> 00:37:26,279 Speaker 1: Days of the Great Steve Days Show. Steve Lindsay is 654 00:37:26,280 --> 00:37:27,719 Speaker 1: not comfortable with the Pardons. 655 00:37:30,040 --> 00:37:30,560 Speaker 2: Really gay. 656 00:37:30,840 --> 00:37:34,680 Speaker 9: I mean the take, Jesse, just the take is just 657 00:37:34,719 --> 00:37:38,000 Speaker 9: another gay take by Lindsey Graham, who should have been 658 00:37:38,600 --> 00:37:42,319 Speaker 9: taken out politically many a moon ago. But you're right, 659 00:37:42,440 --> 00:37:47,320 Speaker 9: he has managed his way to survive to parasitically attach 660 00:37:47,400 --> 00:37:51,799 Speaker 9: himself to Trump. But this might be a bridge too far, 661 00:37:51,960 --> 00:37:54,839 Speaker 9: particularly for this iteration of Trump that we're seeing now, Jess. 662 00:37:54,880 --> 00:37:57,520 Speaker 9: I mean, this is the Trump many on the right 663 00:37:57,600 --> 00:38:01,000 Speaker 9: long hope for in the left was long fear. So 664 00:38:02,239 --> 00:38:04,239 Speaker 9: I mean, while we're out there settling scores, I think 665 00:38:04,280 --> 00:38:06,440 Speaker 9: it might be time to send old Lindsay out to pasture. 666 00:38:08,920 --> 00:38:11,759 Speaker 1: Let's talk about sending Lindsay out to pasture, because he's 667 00:38:11,840 --> 00:38:14,319 Speaker 1: up in twenty twenty six. In fact, twenty twenty six 668 00:38:14,480 --> 00:38:15,239 Speaker 1: really seems to. 669 00:38:15,200 --> 00:38:15,879 Speaker 2: Be our year. 670 00:38:16,000 --> 00:38:19,799 Speaker 1: We have John Cornyan types and others who are up 671 00:38:19,840 --> 00:38:24,040 Speaker 1: for reelection, and this has been traditionally where the GOP 672 00:38:24,320 --> 00:38:27,520 Speaker 1: primary voter has pooped his pants and then sat in 673 00:38:27,560 --> 00:38:30,000 Speaker 1: it for days on end. We don't show up the 674 00:38:30,080 --> 00:38:33,920 Speaker 1: Republican primaries, and if we do, about seventy five eighty 675 00:38:33,960 --> 00:38:36,319 Speaker 1: percent of the people who do show up vote for 676 00:38:36,360 --> 00:38:39,560 Speaker 1: the same scumbag loser who's been there screwing them over. 677 00:38:39,440 --> 00:38:40,600 Speaker 2: Time and time again. 678 00:38:41,239 --> 00:38:44,280 Speaker 1: You mentioned Trump has changed, and I certainly have witnessed 679 00:38:44,280 --> 00:38:48,200 Speaker 1: that change. Has the GOP primary voter changed, because that 680 00:38:48,360 --> 00:38:49,920 Speaker 1: really is our problem. 681 00:38:50,640 --> 00:38:53,680 Speaker 9: Agreed, But I think a lot of that is generational. 682 00:38:53,719 --> 00:38:56,279 Speaker 9: And I say, this is a guy that has a 683 00:38:56,320 --> 00:39:00,879 Speaker 9: lot of sleepless nights, BTSD, scars and bitterness from participating 684 00:39:00,880 --> 00:39:03,080 Speaker 9: in a lot of GOP primaries in my home state 685 00:39:03,120 --> 00:39:06,600 Speaker 9: of Iowa and around the country. And the reality is, 686 00:39:06,800 --> 00:39:11,200 Speaker 9: if the same seventy year old Fox News viewer is 687 00:39:11,239 --> 00:39:13,919 Speaker 9: the same person that votes in all the primaries, then 688 00:39:13,960 --> 00:39:17,080 Speaker 9: you're gonna get all the same candidates. That is absolutely correct. 689 00:39:17,440 --> 00:39:19,920 Speaker 9: But we have a new dynamic here in Trump and 690 00:39:21,440 --> 00:39:25,160 Speaker 9: our people have really placed an inordinate amount of hope 691 00:39:26,080 --> 00:39:29,040 Speaker 9: and faith into Trump to deliver for them, and this 692 00:39:29,120 --> 00:39:34,680 Speaker 9: first week has been a feeling a feeling of deliverance. Frankly, okay, 693 00:39:35,239 --> 00:39:39,000 Speaker 9: And so I think he does have the cachet. Now 694 00:39:39,520 --> 00:39:43,480 Speaker 9: to pardon my French, Trump the GOP primary voter to 695 00:39:44,480 --> 00:39:49,360 Speaker 9: do a Thanos type of a snap and dust metaphorically speaking. 696 00:39:49,480 --> 00:39:53,960 Speaker 9: A lot of these GOP hacks and primaries by signaling 697 00:39:53,960 --> 00:39:56,240 Speaker 9: that they're not loyal, they're not helpful with his agenda, 698 00:39:56,280 --> 00:39:59,040 Speaker 9: they're getting in the way of him making America great again. 699 00:39:59,560 --> 00:40:01,960 Speaker 9: And so I do not trust the GUP primary voter 700 00:40:02,400 --> 00:40:05,400 Speaker 9: one iota, But I do trust in the amount of 701 00:40:05,440 --> 00:40:08,520 Speaker 9: trust they have in Trump. If Trump acts, we could 702 00:40:08,560 --> 00:40:12,120 Speaker 9: take numerous of these Republican senators out. If he doesn't, 703 00:40:12,320 --> 00:40:14,359 Speaker 9: we're not going to be able to touch any of them. 704 00:40:14,440 --> 00:40:17,520 Speaker 9: I mean, the reality is, nothing good in the Republican 705 00:40:17,560 --> 00:40:21,960 Speaker 9: Party will happen without the direct involvement of Donald Trump 706 00:40:21,960 --> 00:40:26,160 Speaker 9: because the Republican Party and Republican primary primary Republican Party 707 00:40:26,160 --> 00:40:27,720 Speaker 9: primary voters have not changed. 708 00:40:29,280 --> 00:40:31,319 Speaker 2: Okay, So do. 709 00:40:31,320 --> 00:40:35,000 Speaker 1: We have any indication of which way Trump is leading, Because, 710 00:40:35,200 --> 00:40:39,560 Speaker 1: to be completely fair and nice as humanly possible, historically 711 00:40:39,640 --> 00:40:43,239 Speaker 1: he has been embarrassing to the point of disastrous when 712 00:40:43,239 --> 00:40:46,799 Speaker 1: it comes to primary endorsements he endorses. 713 00:40:47,239 --> 00:40:48,200 Speaker 2: I mean, I don't even. 714 00:40:48,000 --> 00:40:50,120 Speaker 1: Know what thought process goes into half of this. He 715 00:40:50,200 --> 00:40:53,400 Speaker 1: endorses guys who screw over his own agenda. Do we 716 00:40:53,400 --> 00:40:56,200 Speaker 1: have a different Trump now when it comes to endorsements. 717 00:40:56,360 --> 00:41:02,719 Speaker 9: Well, I think I do think amplifying personal grievances like this, 718 00:41:03,160 --> 00:41:06,960 Speaker 9: like Lindsey Graham open that front up, would be strategically beneficial. 719 00:41:07,480 --> 00:41:09,880 Speaker 9: But I think the real test here for Trump, I 720 00:41:09,920 --> 00:41:13,080 Speaker 9: mean the amount of political calculation that is going on here. 721 00:41:13,280 --> 00:41:15,480 Speaker 9: I mean, really, the first time he ran the calculation 722 00:41:15,680 --> 00:41:17,480 Speaker 9: was who said nice things to me and was loyal 723 00:41:17,520 --> 00:41:20,480 Speaker 9: to me? There is a level of stratagem and nuance 724 00:41:20,560 --> 00:41:23,880 Speaker 9: happening here. We're actually playing chess. I don't know if 725 00:41:23,880 --> 00:41:25,960 Speaker 9: we've gotten a four D chess yet, but we are 726 00:41:26,000 --> 00:41:29,160 Speaker 9: playing chess here. And so I think for Trump this 727 00:41:29,200 --> 00:41:31,600 Speaker 9: is going to be a calculus, which is, if we 728 00:41:31,680 --> 00:41:35,439 Speaker 9: lose this next midterm election, his presidency is effectively over chess, 729 00:41:36,239 --> 00:41:37,960 Speaker 9: except for what he will be able to do with 730 00:41:38,000 --> 00:41:40,840 Speaker 9: foreign policy, which is still very has a lot of 731 00:41:40,880 --> 00:41:43,480 Speaker 9: sweeping power, But on a day to day basis, his 732 00:41:43,600 --> 00:41:47,640 Speaker 9: ability to radically transform the country back to some form 733 00:41:47,640 --> 00:41:51,439 Speaker 9: of normalcy will be mortally wounded, and between not being 734 00:41:51,440 --> 00:41:53,160 Speaker 9: able to run again, he'll be a lame and he 735 00:41:53,200 --> 00:41:55,160 Speaker 9: knows this. I think this is why they're rolling out 736 00:41:55,200 --> 00:41:57,719 Speaker 9: so aggressively this very first year, this very first week, 737 00:41:57,760 --> 00:42:01,200 Speaker 9: even that if we do poorly this next midterm, much 738 00:42:01,280 --> 00:42:03,200 Speaker 9: of the hope that we have in his presidency is 739 00:42:03,280 --> 00:42:06,600 Speaker 9: over the first Wednesday in November of twenty twenty six. 740 00:42:06,880 --> 00:42:10,920 Speaker 9: And so the calculus here is, Okay, Linjy Graham sucks, 741 00:42:11,160 --> 00:42:14,120 Speaker 9: all right, everybody recognizes this. But if I can get 742 00:42:14,160 --> 00:42:16,480 Speaker 9: him to vote for Pete Hegseth and this and that, 743 00:42:17,520 --> 00:42:19,319 Speaker 9: and then I'll put up with it. If we're gonna 744 00:42:19,360 --> 00:42:22,160 Speaker 9: unless we're gonna nominate someone who then can't even win 745 00:42:22,160 --> 00:42:24,160 Speaker 9: a general election. Now that's not a worry in a 746 00:42:24,200 --> 00:42:26,560 Speaker 9: state like South Carolina, where a yellow dog gets elected 747 00:42:26,560 --> 00:42:28,720 Speaker 9: if they're a Republican, but it could be a worry 748 00:42:28,760 --> 00:42:31,319 Speaker 9: in some other states as well. And so are there 749 00:42:31,560 --> 00:42:36,520 Speaker 9: capable quality candidates that could replace these kinds of figures 750 00:42:36,560 --> 00:42:39,759 Speaker 9: Again in South Carolina or Texas with John Cornyn, those 751 00:42:39,800 --> 00:42:42,200 Speaker 9: aren't as big a worries where Democrats have a very, 752 00:42:42,560 --> 00:42:45,560 Speaker 9: very tough sledding statewide to win, But there could be 753 00:42:45,920 --> 00:42:48,560 Speaker 9: some other places where like my home state of Iowa 754 00:42:48,640 --> 00:42:51,120 Speaker 9: with a Jony ERNs, for example, where she's terrible, Yes, 755 00:42:51,200 --> 00:42:53,680 Speaker 9: but you can't risk losing the seat outright to a 756 00:42:53,680 --> 00:42:54,399 Speaker 9: Democrat either. 757 00:42:56,520 --> 00:43:00,680 Speaker 2: I would suck. Gosh. I can't stand Joni ERNs Fauci. Real, 758 00:43:00,760 --> 00:43:05,240 Speaker 2: that's two of us. Fauci. Yeah, Fauci got his pardon. 759 00:43:05,840 --> 00:43:08,120 Speaker 1: It leaves the Honestly, I can't believe how many emails 760 00:43:08,160 --> 00:43:11,000 Speaker 1: I'm still getting about this. This Fauci pardon just sticks 761 00:43:11,080 --> 00:43:12,440 Speaker 1: under people's saddle. 762 00:43:12,680 --> 00:43:14,560 Speaker 2: Real bad man's driving him crazy. 763 00:43:15,920 --> 00:43:18,440 Speaker 9: Well, here's the I guess the good news of this this, 764 00:43:18,840 --> 00:43:21,839 Speaker 9: given who the Republican Party is, it is far more 765 00:43:22,000 --> 00:43:24,479 Speaker 9: likely now, Jesse, that they will push for the real 766 00:43:24,600 --> 00:43:26,759 Speaker 9: truth of what's of what happened here and what was 767 00:43:26,800 --> 00:43:29,879 Speaker 9: done to us without having to act on it than 768 00:43:29,920 --> 00:43:32,000 Speaker 9: it would if he was not under any form of 769 00:43:32,080 --> 00:43:35,279 Speaker 9: legal protection, because that's that's most Republicans are closer to 770 00:43:35,280 --> 00:43:38,240 Speaker 9: Lindsay Graham than Donald Trump, frankly, and so the idea 771 00:43:38,360 --> 00:43:41,399 Speaker 9: of exposing something without having to do something about it 772 00:43:41,400 --> 00:43:44,239 Speaker 9: is like is like fetishized in the Republican Party. So 773 00:43:44,280 --> 00:43:47,040 Speaker 9: we might actually get more answers now, there's no there's 774 00:43:47,040 --> 00:43:50,280 Speaker 9: nothing to hold him back from testifying. Now under oath, 775 00:43:51,000 --> 00:43:53,520 Speaker 9: he could be found in contempt of court, regardless of 776 00:43:53,560 --> 00:43:55,480 Speaker 9: a party. If he doesn't show, there would be a 777 00:43:55,480 --> 00:43:59,640 Speaker 9: criminal liability there. There would be criminal liability for perjuring himself. 778 00:43:59,840 --> 00:44:02,879 Speaker 9: And so if we're looking for a silver lining, here 779 00:44:03,760 --> 00:44:04,200 Speaker 9: is now. 780 00:44:04,600 --> 00:44:05,600 Speaker 2: He is now. 781 00:44:06,000 --> 00:44:10,840 Speaker 9: Completely invulnerable, which makes him therefore vulnerable. There's no reason 782 00:44:11,160 --> 00:44:12,839 Speaker 9: for him to come forward and tell the truth. There's 783 00:44:12,880 --> 00:44:16,200 Speaker 9: no reason for Republicans not to truly expose the depths 784 00:44:16,239 --> 00:44:19,319 Speaker 9: of his depravity here. Because they have an excuse with 785 00:44:19,320 --> 00:44:20,600 Speaker 9: his pardon, they don't have to act on it. They 786 00:44:20,640 --> 00:44:23,400 Speaker 9: can just turn it into fodder for shows like yours 787 00:44:23,400 --> 00:44:24,640 Speaker 9: and mind. 788 00:44:25,840 --> 00:44:28,200 Speaker 1: Well figures crossed for that. For me, mostly, I'm not 789 00:44:28,200 --> 00:44:31,480 Speaker 1: really worried about anything else. Steve as always, thank you, brother, 790 00:44:31,520 --> 00:44:37,959 Speaker 1: I appreciate you. We're not done. Stop lighten the mood test, 791 00:44:46,760 --> 00:44:49,920 Speaker 1: all right, it's time to lighten the mood. And you 792 00:44:49,960 --> 00:44:54,160 Speaker 1: know what lightens my mood the change in mentality on 793 00:44:54,239 --> 00:44:59,319 Speaker 1: the right in America. Because look, some hysterical comy woman 794 00:44:59,719 --> 00:45:01,839 Speaker 1: cry on television or Instagram. 795 00:45:02,080 --> 00:45:04,120 Speaker 2: I'm so sad about Loope. 796 00:45:04,320 --> 00:45:07,520 Speaker 1: That's not exactly something new. That's how they've done well, 797 00:45:07,520 --> 00:45:09,879 Speaker 1: that's how they've done business since the old camera came 798 00:45:09,920 --> 00:45:13,560 Speaker 1: out on the phone. But what is new is the 799 00:45:13,640 --> 00:45:17,640 Speaker 1: American people rejecting it. Selena's Gomez came out and she 800 00:45:17,760 --> 00:45:20,440 Speaker 1: had this to say about the poor alviglege. 801 00:45:22,400 --> 00:45:28,280 Speaker 6: I just wanted to say that I'm so sorry. Only 802 00:45:28,600 --> 00:45:39,399 Speaker 6: people are getting intact the children. They don't understand. I'm 803 00:45:39,560 --> 00:45:42,720 Speaker 6: so sorry. I wish I could do something. 804 00:45:42,400 --> 00:45:43,360 Speaker 1: That you can't. 805 00:45:43,640 --> 00:45:45,439 Speaker 6: I don't know what to do. 806 00:45:47,080 --> 00:45:48,440 Speaker 7: I'll try everything. 807 00:45:52,120 --> 00:45:57,120 Speaker 1: Yeah, you know what makes me proud? You know why 808 00:45:57,120 --> 00:46:01,800 Speaker 1: that's on light in the mood because previous she would 809 00:46:01,800 --> 00:46:04,479 Speaker 1: have been invited on every single news channel to talk 810 00:46:04,520 --> 00:46:06,160 Speaker 1: about that, and she may still get to go on 811 00:46:06,239 --> 00:46:08,880 Speaker 1: a couple but you know what happened this time, She 812 00:46:08,920 --> 00:46:10,880 Speaker 1: had to go to her account and delete the video 813 00:46:11,000 --> 00:46:14,080 Speaker 1: because of the abuse the American people heaped on that 814 00:46:14,160 --> 00:46:18,400 Speaker 1: dirty communist. We're done letting hysterical women run the country. 815 00:46:18,560 --> 00:46:22,600 Speaker 1: No more good for us, all right, A suitable