1 00:00:00,240 --> 00:00:03,840 Speaker 1: Welcome everybody to the Wednesday edition of The Clay and 2 00:00:04,160 --> 00:00:05,000 Speaker 1: Buck Show. 3 00:00:05,240 --> 00:00:09,400 Speaker 2: My friends, it was the best State of the Union 4 00:00:09,440 --> 00:00:10,360 Speaker 2: speech I've ever seen. 5 00:00:10,440 --> 00:00:12,600 Speaker 1: I'm just gonna come right out and say it a 6 00:00:12,600 --> 00:00:15,440 Speaker 1: little bit of a mea culpa, actually, because I'm a 7 00:00:15,480 --> 00:00:17,360 Speaker 1: little salty about State of the Unions. 8 00:00:18,000 --> 00:00:20,320 Speaker 2: Most of them are boring because they go too long. 9 00:00:20,960 --> 00:00:23,200 Speaker 1: I watched every minute of this one, as I tend 10 00:00:23,200 --> 00:00:25,280 Speaker 1: to always do because this is our job. But it 11 00:00:25,360 --> 00:00:29,160 Speaker 1: was not boring. It was soaring, it was majestic, it 12 00:00:29,200 --> 00:00:33,519 Speaker 1: was pageantry. It was fantastic. Honestly, I feel like a 13 00:00:33,560 --> 00:00:37,600 Speaker 1: movie reviewer. I laughed, I cried, I felt my heart sore. 14 00:00:37,760 --> 00:00:40,960 Speaker 1: It was fantastic. I mean, it was the best. I 15 00:00:40,960 --> 00:00:43,320 Speaker 1: could not say enough good things about Trump's State of 16 00:00:43,360 --> 00:00:47,240 Speaker 1: the Union. He was absolutely dialed in, locked in, n 17 00:00:47,360 --> 00:00:50,200 Speaker 1: fuego all of the above. Now we will dive into 18 00:00:50,240 --> 00:00:53,920 Speaker 1: some of the policy, of course, as well as the 19 00:00:54,600 --> 00:00:58,520 Speaker 1: very well deserved victory lap. That was the bulk of 20 00:00:59,200 --> 00:01:03,160 Speaker 1: the opening, certainly of the speech and the Democrat responses, 21 00:01:04,040 --> 00:01:08,160 Speaker 1: Oh my gosh, this Democrat party is nuts. In fact, 22 00:01:08,240 --> 00:01:12,240 Speaker 1: I think one of the most powerful moments Clay of 23 00:01:12,280 --> 00:01:16,919 Speaker 1: the entire Now look before I get into the Democrats. Actually, 24 00:01:16,959 --> 00:01:19,880 Speaker 1: I want to focus on the positive here because many 25 00:01:19,920 --> 00:01:24,600 Speaker 1: of you are probably familiar with Internet terminology, and for example, 26 00:01:24,640 --> 00:01:27,360 Speaker 1: the red pill, which comes from the matrix, which I've 27 00:01:27,360 --> 00:01:29,320 Speaker 1: been saying for a long time. Actually, I used to 28 00:01:29,319 --> 00:01:30,920 Speaker 1: say this on my show Clay when I was doing 29 00:01:30,959 --> 00:01:33,399 Speaker 1: a Saturday show for like five people on the Internet. 30 00:01:33,920 --> 00:01:35,600 Speaker 1: I would say, guys, you know, we got to take 31 00:01:35,600 --> 00:01:38,280 Speaker 1: the red pill here, and it became very popular because 32 00:01:38,600 --> 00:01:41,039 Speaker 1: of the movie The Matrix, and it means to see 33 00:01:41,040 --> 00:01:43,360 Speaker 1: things as they truly are. But now there are different 34 00:01:43,760 --> 00:01:47,240 Speaker 1: pills with corresponding colors, and there are people on the red. 35 00:01:47,280 --> 00:01:49,600 Speaker 2: There are people that will. 36 00:01:49,400 --> 00:01:53,680 Speaker 1: Say, you're taking a white pill means you're seeing things 37 00:01:53,760 --> 00:01:56,960 Speaker 1: in a very sort of benevolent light. Red pills you're 38 00:01:57,000 --> 00:01:59,480 Speaker 1: seeing things as they are. Blue pill is you're part 39 00:01:59,480 --> 00:02:04,560 Speaker 1: of the noise, or you still have the world sort 40 00:02:04,600 --> 00:02:07,800 Speaker 1: of shrouded and presented to you without seeing with clarity, 41 00:02:08,600 --> 00:02:10,800 Speaker 1: and which is from the matrix. And then the black 42 00:02:10,880 --> 00:02:15,079 Speaker 1: pill is I'm just everything is bad, We're never gonna win, 43 00:02:15,120 --> 00:02:18,760 Speaker 1: everything is terrible. There's some black pilling that happens sometimes 44 00:02:18,800 --> 00:02:21,200 Speaker 1: on the right where people just want to get down 45 00:02:21,600 --> 00:02:24,040 Speaker 1: and I saw a little this in the commentary of. 46 00:02:24,120 --> 00:02:26,880 Speaker 2: But what about this? And Trump didn't do that? Clay. 47 00:02:27,040 --> 00:02:29,519 Speaker 1: I just want to set this marker because I don't know. 48 00:02:29,639 --> 00:02:31,280 Speaker 1: I don't say that every State of the Union address 49 00:02:31,320 --> 00:02:32,640 Speaker 1: is great. In fact, most of them I think are 50 00:02:32,639 --> 00:02:34,480 Speaker 1: a waste of time. Most of them I do because 51 00:02:34,480 --> 00:02:36,520 Speaker 1: it's my job. Not only was this the best State 52 00:02:36,560 --> 00:02:39,520 Speaker 1: of the Union speech, that was a marker, a high 53 00:02:39,520 --> 00:02:43,080 Speaker 1: point I think for looking back at was at what 54 00:02:43,280 --> 00:02:47,800 Speaker 1: has been, in its totality, an unbelievable first year of 55 00:02:47,840 --> 00:02:51,880 Speaker 1: Trump's second term. And I'm somebody who was there in 56 00:02:51,919 --> 00:02:55,280 Speaker 1: the trenches with the fighting back against the Russia collusion stuff, 57 00:02:55,280 --> 00:02:57,720 Speaker 1: which was totally messing Trump up in the first term, 58 00:02:58,080 --> 00:03:02,200 Speaker 1: and sandbagging and and you know, undermining everything he was 59 00:03:02,240 --> 00:03:04,680 Speaker 1: doing and dealing with the bad picks that he had 60 00:03:04,720 --> 00:03:08,360 Speaker 1: in that first administration. I'm not a oh Rose colored 61 00:03:08,360 --> 00:03:11,600 Speaker 1: glasses guy. Everything is awesome, Clay. Before we get anything else, 62 00:03:11,639 --> 00:03:15,400 Speaker 1: I just I think it's worth taking this moment of 63 00:03:16,080 --> 00:03:21,600 Speaker 1: this administration has delivered an enormously on securing the border, 64 00:03:21,800 --> 00:03:27,320 Speaker 1: on bringing down the crime rate nationally, on a booming economy. Trube, 65 00:03:27,680 --> 00:03:29,720 Speaker 1: we can go through this piece by piece. The data 66 00:03:29,720 --> 00:03:33,200 Speaker 1: speaks to it. Everyone needs to take a moment, enjoy 67 00:03:33,280 --> 00:03:39,040 Speaker 1: the win. Enjoy the victory, because unfortunately, this too shall pass. 68 00:03:39,320 --> 00:03:41,839 Speaker 1: He will not be president forever. He might not even 69 00:03:41,920 --> 00:03:44,360 Speaker 1: have the House for more than another year. And the 70 00:03:44,360 --> 00:03:48,720 Speaker 1: Democrats will get into this clay. They're insane. They are 71 00:03:48,800 --> 00:03:50,000 Speaker 1: a wacko party. 72 00:03:51,120 --> 00:03:54,360 Speaker 3: Well, I mean, I think that to me is everything 73 00:03:54,440 --> 00:03:57,720 Speaker 3: comes down to a couple of moments, even more so 74 00:03:58,520 --> 00:04:01,520 Speaker 3: in a social media aid which most people did not 75 00:04:01,720 --> 00:04:05,680 Speaker 3: watch a two hour speech and you loved it. I 76 00:04:05,680 --> 00:04:07,480 Speaker 3: gotta be honest with you, it would have been better 77 00:04:07,520 --> 00:04:11,600 Speaker 3: if it were an hour fifteen instead of nearly two hours. 78 00:04:12,760 --> 00:04:16,000 Speaker 3: So I was watching, I was also doing what a 79 00:04:16,000 --> 00:04:18,520 Speaker 3: lot of other people are doing, probably I was watching 80 00:04:18,520 --> 00:04:21,120 Speaker 3: a basketball game simultaneously on a second game. 81 00:04:21,279 --> 00:04:22,840 Speaker 1: This is the most clay thing ever. You're watching a 82 00:04:22,839 --> 00:04:25,599 Speaker 1: basketballt salm. We're switching roles here. Usually you're the one 83 00:04:25,640 --> 00:04:28,039 Speaker 1: that loved the movie, so to speak, and I trash it. 84 00:04:28,320 --> 00:04:30,559 Speaker 1: You're not trashing it, but you're saying it was too long, 85 00:04:30,640 --> 00:04:32,720 Speaker 1: which is what I was worried was gonna happen. I 86 00:04:32,760 --> 00:04:35,080 Speaker 1: actually sat through the whole thing and thought that he 87 00:04:35,160 --> 00:04:36,680 Speaker 1: really pulled the whole thing off without it. 88 00:04:36,720 --> 00:04:38,520 Speaker 2: I mean, I look, I think all State of Union 89 00:04:38,560 --> 00:04:40,479 Speaker 2: should be thirty minutes. But that's me. I'm crazy. 90 00:04:42,720 --> 00:04:46,920 Speaker 3: I thought that it went on too long with that 91 00:04:47,160 --> 00:04:52,280 Speaker 3: in as my criticism, because I think it just dragged. 92 00:04:52,279 --> 00:04:52,560 Speaker 2: To me. 93 00:04:53,480 --> 00:04:58,440 Speaker 3: I thought it was the most optimistic, patriotic speech that 94 00:04:58,520 --> 00:05:02,479 Speaker 3: Trump may have ever given. And if you were just 95 00:05:02,600 --> 00:05:06,359 Speaker 3: a reasonable person, right, not someone who is a Trump 96 00:05:06,480 --> 00:05:11,120 Speaker 3: deranged psychopath, and you just watched that, I think the 97 00:05:11,240 --> 00:05:15,960 Speaker 3: results would be somewhat similar to what CNN actually showed, 98 00:05:16,279 --> 00:05:19,240 Speaker 3: which was sixty four percent of the speech of viewers 99 00:05:19,279 --> 00:05:21,960 Speaker 3: really liked it. I would say there's about thirty five 100 00:05:22,000 --> 00:05:24,560 Speaker 3: percent of people. Trump could have come out last night 101 00:05:24,640 --> 00:05:28,560 Speaker 3: and said I cured cancer. All of your grandmas and 102 00:05:28,560 --> 00:05:33,320 Speaker 3: grandpas are now going to be resurrected because of massive 103 00:05:33,360 --> 00:05:35,920 Speaker 3: technological advantages, and you're going to get to hang out 104 00:05:35,920 --> 00:05:36,799 Speaker 3: with your family again. 105 00:05:37,080 --> 00:05:38,400 Speaker 2: And they still would. 106 00:05:38,120 --> 00:05:41,440 Speaker 3: Complain, Right, whatever the greatest thing and I balanced the 107 00:05:41,440 --> 00:05:46,200 Speaker 3: budget and whatever the greatest accomplishment that you think a 108 00:05:46,360 --> 00:05:50,719 Speaker 3: president could render, there's about thirty five percent of the population 109 00:05:50,760 --> 00:05:53,360 Speaker 3: that would hate it, just because Trump has broken their brains. 110 00:05:53,560 --> 00:05:56,480 Speaker 3: And I thought there were two things that really stood out. 111 00:05:56,520 --> 00:06:00,279 Speaker 3: Buck one was when Trump said they're insane, and the 112 00:06:00,360 --> 00:06:04,200 Speaker 3: second one was when they're not willing to stand for 113 00:06:04,440 --> 00:06:08,480 Speaker 3: things that are completely non political in nature. And I 114 00:06:08,520 --> 00:06:12,479 Speaker 3: think this is going to bounce back in democrats disfavor 115 00:06:12,640 --> 00:06:17,520 Speaker 3: in a fairly substantial way because being retro sort of 116 00:06:18,160 --> 00:06:22,120 Speaker 3: retroactively opposed to whatever Trump is in favor of, it 117 00:06:22,160 --> 00:06:25,120 Speaker 3: is working against them. And I thought Trump did a 118 00:06:25,160 --> 00:06:27,480 Speaker 3: good job of making a case. If I were giving advice, 119 00:06:27,560 --> 00:06:29,360 Speaker 3: I would have said do it in one point fifteen 120 00:06:29,839 --> 00:06:31,200 Speaker 3: instead of one forty five. 121 00:06:31,279 --> 00:06:33,159 Speaker 2: I think thirty minutes of that speech could. 122 00:06:33,040 --> 00:06:36,120 Speaker 3: Have been cleaned up, but so much of it was 123 00:06:36,680 --> 00:06:41,480 Speaker 3: just a spectacularly optimistic story about America and how our 124 00:06:41,640 --> 00:06:44,240 Speaker 3: lives intersect with the two hundred and fifty year old 125 00:06:44,279 --> 00:06:47,800 Speaker 3: history of the country. And in that way, I thought 126 00:06:47,839 --> 00:06:50,520 Speaker 3: it was very well done. In the most optimistic, probable 127 00:06:50,560 --> 00:06:53,680 Speaker 3: speech that Trump has maybe ever given in his presidency. 128 00:06:53,440 --> 00:06:57,680 Speaker 1: You noted two of the most important policy which I 129 00:06:57,720 --> 00:07:03,720 Speaker 1: think pretty universally people felt like the Democrats not standing 130 00:07:03,720 --> 00:07:07,479 Speaker 1: for we want to put citizens above foreigners. Basically like 131 00:07:07,560 --> 00:07:11,480 Speaker 1: Americans matter more to the American government, their their future, 132 00:07:11,480 --> 00:07:13,560 Speaker 1: and their well being matters more to the American government 133 00:07:13,600 --> 00:07:17,440 Speaker 1: than other people. Democrats just fundamentally don't believe that. Actually 134 00:07:17,800 --> 00:07:21,000 Speaker 1: Democrats view anyone from anywhere in the world, no matter 135 00:07:21,000 --> 00:07:26,800 Speaker 1: what their their their background, their language, their politics, their 136 00:07:26,880 --> 00:07:30,480 Speaker 1: their credo, whatever, as well, maybe that could be a voter. 137 00:07:31,040 --> 00:07:33,280 Speaker 1: You know, let just start giving them welfare and turn 138 00:07:33,320 --> 00:07:35,520 Speaker 1: them into a voter. That's how they view that. Anyone 139 00:07:35,520 --> 00:07:38,400 Speaker 1: from anywhere, anyone is as American as any of you, 140 00:07:38,600 --> 00:07:40,760 Speaker 1: as long as that person is going to be on 141 00:07:40,840 --> 00:07:44,600 Speaker 1: the government dole and vote Democrat. That is truly how 142 00:07:44,600 --> 00:07:47,160 Speaker 1: they feel and how they think of this country, which 143 00:07:47,240 --> 00:07:49,920 Speaker 1: I think is a huge vulnerability for them politically. It 144 00:07:49,960 --> 00:07:52,680 Speaker 1: should be, or else we're just on a slow glide 145 00:07:52,680 --> 00:07:54,840 Speaker 1: path into the side of the mountain and our sovereignty 146 00:07:54,920 --> 00:07:57,440 Speaker 1: is done. But Clay, the few moments for me that 147 00:07:57,520 --> 00:07:59,960 Speaker 1: were particularly just powerful. 148 00:08:00,760 --> 00:08:03,040 Speaker 2: The USA hockey team thing. 149 00:08:04,400 --> 00:08:08,520 Speaker 3: That so many I got so many thoughts on this 150 00:08:08,600 --> 00:08:11,520 Speaker 3: too that we can dive into eventually, But that moment 151 00:08:11,840 --> 00:08:13,640 Speaker 3: was pure cinematic gold. 152 00:08:14,160 --> 00:08:15,080 Speaker 4: It was. 153 00:08:16,160 --> 00:08:19,360 Speaker 1: It was, you know, Ronald Reagan high fiving Hulk Hogan 154 00:08:19,520 --> 00:08:23,760 Speaker 1: on the back of a Tricera tops with with American 155 00:08:23,840 --> 00:08:27,560 Speaker 1: flags fluttering in the backgrounds. You know, flanked by eagles, 156 00:08:28,040 --> 00:08:30,560 Speaker 1: like I mean, it was. It was amazing, all right. 157 00:08:30,600 --> 00:08:35,560 Speaker 1: It was an absolutely beautiful moment, uh for for the country, 158 00:08:35,679 --> 00:08:37,640 Speaker 1: and it was just so cool a those young guys there, 159 00:08:37,840 --> 00:08:40,880 Speaker 1: you know, the big win and it really is about America. 160 00:08:41,000 --> 00:08:44,319 Speaker 2: And I think I would hope that even. 161 00:08:44,080 --> 00:08:49,400 Speaker 1: Somebody that despises every aspect of Trump's policy at least 162 00:08:49,440 --> 00:08:52,800 Speaker 1: had their had their moment, you know there they they 163 00:08:52,840 --> 00:08:56,080 Speaker 1: smiled and looked at those guys and said they are 164 00:08:56,080 --> 00:08:57,960 Speaker 1: there are boys, and they did a great job. And 165 00:08:58,040 --> 00:09:00,760 Speaker 1: our gals they weren't. They weren't there last night, but 166 00:09:01,040 --> 00:09:03,280 Speaker 1: you know, the gals team did a great job too. 167 00:09:03,679 --> 00:09:05,600 Speaker 1: And I just think that that national pride is something 168 00:09:05,640 --> 00:09:07,680 Speaker 1: guy I want to see in everybody your respective of 169 00:09:07,679 --> 00:09:10,640 Speaker 1: who they vote for. Unfortunately, Democrats a lot of them. 170 00:09:10,440 --> 00:09:12,280 Speaker 2: Not all of them. It's not fair to say all of. 171 00:09:12,200 --> 00:09:14,240 Speaker 1: Them, but a lot of them don't. And Clay, the 172 00:09:14,240 --> 00:09:17,119 Speaker 1: other moment for me was when he told the story 173 00:09:17,280 --> 00:09:21,160 Speaker 1: of the pilot chief Warrant Officer Slover, Yeah, gone into 174 00:09:21,240 --> 00:09:24,160 Speaker 1: Venezuela getting his legs. I mean, I'm assuming it was 175 00:09:24,200 --> 00:09:27,480 Speaker 1: probably getting hit by seven six two rounds. I mean, 176 00:09:27,559 --> 00:09:29,160 Speaker 1: I don't know. They didn't talk about this, but getting 177 00:09:29,240 --> 00:09:32,599 Speaker 1: hit by you know, getting hit in the legs and 178 00:09:32,640 --> 00:09:36,559 Speaker 1: then a hip and continuing as a Chinook pilot to 179 00:09:36,600 --> 00:09:39,440 Speaker 1: make sure that that that bird came down and the 180 00:09:39,480 --> 00:09:42,400 Speaker 1: mission was completed. And that guy you could tell he's 181 00:09:42,400 --> 00:09:44,559 Speaker 1: still recovering. There's still probably a lot of pain he's 182 00:09:44,600 --> 00:09:48,559 Speaker 1: dealing with and immobility issues from you know, you get 183 00:09:48,640 --> 00:09:51,160 Speaker 1: hit with those kind of round especially talking about hip stuff. 184 00:09:51,160 --> 00:09:54,000 Speaker 1: That's very point, is man, that guy is just an 185 00:09:54,040 --> 00:09:56,080 Speaker 1: American hero and American badass and be able to give 186 00:09:56,160 --> 00:09:57,400 Speaker 1: him the Medal of Honor. I know there are other 187 00:09:57,440 --> 00:09:59,520 Speaker 1: Medal of Honor winners too, and they had amazing stories, 188 00:09:59,600 --> 00:10:04,720 Speaker 1: but this it just happened. I just that that wasn't 189 00:10:04,760 --> 00:10:08,400 Speaker 1: about Trump, right y thing, No, totally. It's about the 190 00:10:08,440 --> 00:10:12,280 Speaker 1: country truly. So how can they not love that? How 191 00:10:12,360 --> 00:10:14,600 Speaker 1: can how can you be an American and not say, 192 00:10:15,360 --> 00:10:17,160 Speaker 1: you know, this is one of the best of ours 193 00:10:17,240 --> 00:10:19,240 Speaker 1: right here, This guy who put it on the line 194 00:10:19,320 --> 00:10:20,440 Speaker 1: and got the mission done. 195 00:10:21,280 --> 00:10:25,360 Speaker 3: Eric Slover is his name, And what First of all, 196 00:10:25,400 --> 00:10:29,880 Speaker 3: he looked uncomfortable being there because I guarantee you if 197 00:10:29,920 --> 00:10:32,040 Speaker 3: they had given him a mike, he would say, well, 198 00:10:32,120 --> 00:10:36,719 Speaker 3: I was just one of insert number of gods, just 199 00:10:36,840 --> 00:10:38,280 Speaker 3: the highest level of the operators. 200 00:10:38,320 --> 00:10:40,360 Speaker 2: That's how they are. Uh. 201 00:10:40,600 --> 00:10:42,679 Speaker 3: But as he stood there and he was still, as 202 00:10:42,720 --> 00:10:47,079 Speaker 3: you said, recovering, he had aid I think crutches basically 203 00:10:47,120 --> 00:10:51,480 Speaker 3: to help him walk. He looked like an American badass 204 00:10:51,600 --> 00:10:53,640 Speaker 3: monster in a good way. 205 00:10:53,559 --> 00:10:55,160 Speaker 2: Right, just huge. 206 00:10:55,600 --> 00:10:57,640 Speaker 3: I don't know how many you know reps on three 207 00:10:57,640 --> 00:10:59,720 Speaker 3: point fifteen that guy could do, but I would go 208 00:10:59,760 --> 00:11:02,520 Speaker 3: for a high number. I mean, he looks like a 209 00:11:02,559 --> 00:11:06,559 Speaker 3: guy who had committed his heart and soul to defending 210 00:11:06,600 --> 00:11:09,880 Speaker 3: Amri to America to touch such an extent that he 211 00:11:10,040 --> 00:11:13,560 Speaker 3: was there to get the utmost of his body and 212 00:11:13,720 --> 00:11:16,880 Speaker 3: give the utmost of his body on behalf of the country. 213 00:11:17,360 --> 00:11:20,600 Speaker 3: And that to your point, they had two hundred year old, 214 00:11:20,920 --> 00:11:24,560 Speaker 3: a World War Two veteran, a guy who flew missions 215 00:11:24,600 --> 00:11:27,800 Speaker 3: I think they said in World War two, Korea and Vietnam, 216 00:11:28,360 --> 00:11:31,320 Speaker 3: I mean, both of whom were getting the awards. I 217 00:11:31,360 --> 00:11:34,200 Speaker 3: thought it was the most patriotic pro American speech that 218 00:11:34,200 --> 00:11:36,679 Speaker 3: Trump may have ever given. And here's what stood out 219 00:11:36,679 --> 00:11:38,640 Speaker 3: to me, Buck, And I think this ties in with 220 00:11:38,679 --> 00:11:40,360 Speaker 3: the US men. And I've got so many thoughts on 221 00:11:40,400 --> 00:11:43,280 Speaker 3: a deep level about this You can argue, as we 222 00:11:43,280 --> 00:11:45,400 Speaker 3: have said on this program, about what the tax rate 223 00:11:45,400 --> 00:11:48,880 Speaker 3: should be on corporations, and you can argue about what 224 00:11:49,080 --> 00:11:52,959 Speaker 3: policies should be in place when it comes to ice 225 00:11:53,040 --> 00:11:56,480 Speaker 3: raids and all these other different things. But really, what 226 00:11:56,679 --> 00:12:00,280 Speaker 3: I think President Trump distilled with this address is there 227 00:12:00,360 --> 00:12:02,960 Speaker 3: is one party that is proud of this country and 228 00:12:03,080 --> 00:12:07,800 Speaker 3: proud of the United States and feels intense patriotic loyalty 229 00:12:07,840 --> 00:12:11,120 Speaker 3: to America, and that is Republicans. And then there is 230 00:12:11,160 --> 00:12:14,360 Speaker 3: a party that is ashamed of America and everything that 231 00:12:14,440 --> 00:12:18,160 Speaker 3: it represents, and that is Democrats. And that is a big, 232 00:12:18,679 --> 00:12:22,199 Speaker 3: major issue writ large that doesn't have anything to do 233 00:12:22,400 --> 00:12:26,880 Speaker 3: direct with policy, and I thought Trump's address was delivered 234 00:12:27,360 --> 00:12:32,480 Speaker 3: right at that intersection of conflict over the existential and 235 00:12:32,520 --> 00:12:37,760 Speaker 3: supported and super important question of is America a good 236 00:12:37,440 --> 00:12:42,920 Speaker 3: and just country or not. Republicans say yes, Democrats say no. 237 00:12:43,400 --> 00:12:45,800 Speaker 3: And I think that goes to the very essence of 238 00:12:45,840 --> 00:12:48,120 Speaker 3: our political battles in this day and age, and I 239 00:12:48,120 --> 00:12:50,520 Speaker 3: thought that address really focused on it. 240 00:12:51,440 --> 00:12:55,640 Speaker 1: Also, Trump just taking a moment for him here, because 241 00:12:55,640 --> 00:12:57,559 Speaker 1: there's a lot of stuff that really was about the country, 242 00:12:57,600 --> 00:12:59,960 Speaker 1: and that it was beautiful and all of the victor 243 00:13:00,040 --> 00:13:02,520 Speaker 1: relapse that he started out with are just they're just 244 00:13:02,600 --> 00:13:07,400 Speaker 1: factual too. This isn't when Biden says things like we 245 00:13:07,520 --> 00:13:10,240 Speaker 1: were American jobs were brought back the economy. It's like, 246 00:13:10,520 --> 00:13:13,679 Speaker 1: you mean, you Democrat maniacs allowed people to go back 247 00:13:13,720 --> 00:13:16,840 Speaker 1: to work because they had already gotten a nasty cold 248 00:13:16,840 --> 00:13:18,840 Speaker 1: that they weren't going to die from in the first place, 249 00:13:18,880 --> 00:13:22,079 Speaker 1: because they weren't you know, at high risk. Like that's 250 00:13:22,120 --> 00:13:25,520 Speaker 1: your great economic contribution to stop ruining everything and spending 251 00:13:25,600 --> 00:13:30,199 Speaker 1: us into oblivion. The accomplishments that Trump was laying out 252 00:13:30,280 --> 00:13:33,240 Speaker 1: last night are just that they're accomplishments. No matter how 253 00:13:33,240 --> 00:13:35,800 Speaker 1: you slice it. The reality is he's done incredible things. 254 00:13:35,840 --> 00:13:37,960 Speaker 1: But the other part of this clay is he's just 255 00:13:38,000 --> 00:13:41,200 Speaker 1: a showman man. I mean when he goes up with 256 00:13:41,240 --> 00:13:44,479 Speaker 1: the Democrats or you know, oh they're they're they're shrieking 257 00:13:44,520 --> 00:13:47,000 Speaker 1: and howling and they're all so upset and they're acting 258 00:13:47,120 --> 00:13:50,439 Speaker 1: like really acting like the uh, you know, the unruly 259 00:13:50,640 --> 00:13:53,240 Speaker 1: children in the school auditorium that the dean has to 260 00:13:53,320 --> 00:13:56,040 Speaker 1: go and give a talking to. You know, Trump is 261 00:13:56,080 --> 00:13:58,720 Speaker 1: just like, yeah, you're crazy, you know, he's shouting them down. 262 00:13:59,160 --> 00:14:02,280 Speaker 1: The guy just puts on a show. It's there's nothing 263 00:14:02,280 --> 00:14:04,600 Speaker 1: else like it. We have seen nothing else like it, 264 00:14:04,679 --> 00:14:07,439 Speaker 1: And uh, I thought it. I thought it was phenomenal. 265 00:14:07,679 --> 00:14:09,240 Speaker 1: Do I always think that a speech could be short 266 00:14:09,320 --> 00:14:11,360 Speaker 1: or short, But I actually last night was the first 267 00:14:11,400 --> 00:14:13,480 Speaker 1: time that I wasn't like, this has gotten brutal. That 268 00:14:13,559 --> 00:14:15,560 Speaker 1: was that was kind of my meaning gap that got 269 00:14:15,600 --> 00:14:18,720 Speaker 1: way too long. So overall, I thought it was the 270 00:14:18,760 --> 00:14:20,760 Speaker 1: best State of the Union speech. And I go into 271 00:14:20,760 --> 00:14:24,960 Speaker 1: these things pretty with low expectation. So we'll talk about 272 00:14:25,000 --> 00:14:27,480 Speaker 1: some of the Democrat stuff, some of the big policy moments. Also, 273 00:14:27,640 --> 00:14:31,000 Speaker 1: I think we're discussing just setting aside money for American 274 00:14:31,520 --> 00:14:36,920 Speaker 1: children in accounts understand, like basically putting everybody in a 275 00:14:36,960 --> 00:14:40,360 Speaker 1: place where they will benefit from the American economy and 276 00:14:40,400 --> 00:14:44,440 Speaker 1: the financial system. There's some big things about this that 277 00:14:44,480 --> 00:14:48,360 Speaker 1: I think really matter and and we should discuss because 278 00:14:48,440 --> 00:14:49,960 Speaker 1: this is this is a way you want to deal 279 00:14:50,040 --> 00:14:51,760 Speaker 1: with like the wealth gap, and you want to deal 280 00:14:51,840 --> 00:14:54,080 Speaker 1: with quality of life and all these things. 281 00:14:54,120 --> 00:14:57,160 Speaker 3: There's there's a lot to this. By the way, we 282 00:14:57,200 --> 00:15:00,680 Speaker 3: should have taken George W. Bush's advice long time ago, 283 00:15:00,760 --> 00:15:03,680 Speaker 3: an index social Security to S and P five hundred 284 00:15:03,840 --> 00:15:04,640 Speaker 3: index funds. 285 00:15:04,720 --> 00:15:06,119 Speaker 2: If we had, the country. 286 00:15:05,880 --> 00:15:08,760 Speaker 3: Would be on much sounder financial shape instead of you 287 00:15:08,840 --> 00:15:12,240 Speaker 3: giving all your money and getting back three percent returns 288 00:15:12,320 --> 00:15:14,560 Speaker 3: or whatever the heck it is forty years later. It's 289 00:15:14,600 --> 00:15:16,880 Speaker 3: a social security The weights set up is just it's 290 00:15:16,920 --> 00:15:19,800 Speaker 3: a joke. Throughout the State of the Union speech, President 291 00:15:19,800 --> 00:15:23,480 Speaker 3: Trump honored our military, old and young, frequently referenced this 292 00:15:23,600 --> 00:15:27,320 Speaker 3: year's the two hundred and fiftieth anniversary of the Declaration 293 00:15:27,400 --> 00:15:30,680 Speaker 3: of Independence. This year also marks the twenty fifth anniversary 294 00:15:30,800 --> 00:15:32,880 Speaker 3: of the nine to eleven attacks and the tunnel. The 295 00:15:32,880 --> 00:15:37,200 Speaker 3: Towers Foundation has been helping America's heroes ever since, heroes 296 00:15:37,560 --> 00:15:41,000 Speaker 3: like Fire Lieutenant Michael Wells. Inspired by the heroism of 297 00:15:41,040 --> 00:15:44,040 Speaker 3: firefighters on nine to eleven, Michael felt a calling to 298 00:15:44,080 --> 00:15:47,040 Speaker 3: pursue his dream of serving his community as a firefighter. 299 00:15:47,080 --> 00:15:50,520 Speaker 3: He devoted fourteen years to his fire department, rose to 300 00:15:50,560 --> 00:15:53,360 Speaker 3: the rank of lieutenant, saved lives, and earned the Badge 301 00:15:53,400 --> 00:15:56,280 Speaker 3: of Honor for his bravery. Despite his courage, faith and 302 00:15:56,360 --> 00:16:00,640 Speaker 3: unwavering smile, he lost his battle with occupational cancer on 303 00:16:00,680 --> 00:16:03,400 Speaker 3: the twenty fifth anniversary of nine to eleven. Michael's story 304 00:16:03,440 --> 00:16:06,280 Speaker 3: reminds us of the profound impact of that day on 305 00:16:06,360 --> 00:16:09,960 Speaker 3: America's Heroes and their Families. Michael leaves behind his loving 306 00:16:10,000 --> 00:16:12,800 Speaker 3: wife Katie, their three kids, and a legacy of service 307 00:16:12,840 --> 00:16:13,240 Speaker 3: and love. 308 00:16:13,320 --> 00:16:13,720 Speaker 2: The Tunnel. 309 00:16:13,720 --> 00:16:17,200 Speaker 3: The Towers Foundation honored Michael by paying off the Wells 310 00:16:17,240 --> 00:16:20,760 Speaker 3: family mortgage. Help Tunnel the Tower support more families like 311 00:16:20,840 --> 00:16:24,240 Speaker 3: the Wells family. Join us in donating eleven dollars a 312 00:16:24,280 --> 00:16:28,000 Speaker 3: month and amplify your impact with a car or Land donation. 313 00:16:28,520 --> 00:16:32,040 Speaker 3: Go to t towot dot org. That's t the number 314 00:16:32,040 --> 00:16:33,840 Speaker 3: two t dot org. 315 00:16:34,920 --> 00:16:40,440 Speaker 5: Clay Travison, buck Sexton Mike drops that never sounded so good. 316 00:16:41,080 --> 00:16:44,400 Speaker 5: Find them on the free iHeartRadio app or wherever you 317 00:16:44,520 --> 00:16:45,600 Speaker 5: get your podcasts. 318 00:16:45,760 --> 00:16:48,800 Speaker 3: Welcome back in play Travis buck Sexton Show. We'll get 319 00:16:48,840 --> 00:16:51,840 Speaker 3: to some of your talkbacks. A ton of talkbacks rolling 320 00:16:51,880 --> 00:16:54,560 Speaker 3: in on a variety of different topics. Encourage you to 321 00:16:54,600 --> 00:16:57,400 Speaker 3: download the iheartapp. Also want to hit you with this 322 00:16:57,480 --> 00:17:00,640 Speaker 3: to make sure again we are on serious at channel 323 00:17:00,680 --> 00:17:03,480 Speaker 3: one twenty three. You can now listen to us nationwide 324 00:17:03,480 --> 00:17:08,160 Speaker 3: if you have SIRIOUSXM Third Hour coming soon, because I'll 325 00:17:08,160 --> 00:17:09,879 Speaker 3: get messages every now and then. I don't know if 326 00:17:09,920 --> 00:17:11,280 Speaker 3: you've seen them, Buck where people are. 327 00:17:11,200 --> 00:17:12,600 Speaker 2: Like hey, we're the third hour. 328 00:17:13,000 --> 00:17:16,240 Speaker 3: First two hours you're listening to us live on SiriusXM. 329 00:17:16,560 --> 00:17:19,440 Speaker 3: They are finishing off the third hour. It is going 330 00:17:19,520 --> 00:17:22,280 Speaker 3: to be added soon, but we're excited to have that. 331 00:17:22,320 --> 00:17:25,200 Speaker 3: And let me just reiterate, go subscribe to the podcast. 332 00:17:26,160 --> 00:17:29,879 Speaker 3: We are growing fast there. The YouTube channel is growing fast, 333 00:17:30,480 --> 00:17:33,720 Speaker 3: over one hundred and twenty thousand subscribers strong there now, 334 00:17:34,000 --> 00:17:37,200 Speaker 3: and we are soon going to be adding three hours. 335 00:17:36,760 --> 00:17:37,720 Speaker 2: There as well. 336 00:17:37,840 --> 00:17:41,199 Speaker 3: But more reactions coming here shortly on the state of 337 00:17:41,240 --> 00:17:45,000 Speaker 3: the Union and the overall direction of the country. I 338 00:17:45,040 --> 00:17:49,760 Speaker 3: want to tell you right now, all fifty states, Texas, California, Georgia. 339 00:17:49,800 --> 00:17:52,399 Speaker 3: If you're feeling left out, you can play along with 340 00:17:52,560 --> 00:17:54,240 Speaker 3: my friend at price picks. 341 00:17:54,280 --> 00:17:55,240 Speaker 2: They are great. 342 00:17:55,400 --> 00:17:59,600 Speaker 3: Price picks dot com is the website code clay I 343 00:17:59,680 --> 00:18:04,760 Speaker 3: Resent went to an event in Atlanta. Adam the founder 344 00:18:04,800 --> 00:18:08,240 Speaker 3: of price Picks, Atlanta based company. He said when they 345 00:18:08,280 --> 00:18:12,120 Speaker 3: sold price picks recently buck over one hundred and thirty 346 00:18:12,240 --> 00:18:16,320 Speaker 3: employees of the company became millionaires. That's people who worked 347 00:18:16,359 --> 00:18:19,720 Speaker 3: there for a variety of time got stock options. Over 348 00:18:19,760 --> 00:18:22,760 Speaker 3: one hundred and thirty people became millionaires because of this 349 00:18:22,800 --> 00:18:26,280 Speaker 3: great business that Adam Wexler built. You can now play 350 00:18:26,320 --> 00:18:30,000 Speaker 3: along in all fifty states price picks dot Com Code Clay. 351 00:18:30,040 --> 00:18:32,560 Speaker 3: That is pricepicks dot Com code play. When you play 352 00:18:32,600 --> 00:18:36,000 Speaker 3: five dollars, you get fifty dollars deposited in your account. 353 00:18:36,040 --> 00:18:40,439 Speaker 3: You're gonna love it whether you love basketball, hockey, baseball. 354 00:18:40,560 --> 00:18:42,639 Speaker 3: It's about to be a good time in the spring 355 00:18:42,720 --> 00:18:46,439 Speaker 3: with everything firing on all cylinders. That's pricepicks dot Com 356 00:18:46,480 --> 00:18:47,480 Speaker 3: Code Clay. 357 00:18:48,119 --> 00:18:50,880 Speaker 1: Here with us tonight is a group of winners who 358 00:18:51,040 --> 00:18:53,600 Speaker 1: just made the entire nation crowd. 359 00:18:53,960 --> 00:18:58,080 Speaker 3: The men's gold Meadow Olympic hockey team. 360 00:18:58,160 --> 00:19:25,760 Speaker 1: Come on, Clay, I think the chant of USA USA 361 00:19:25,800 --> 00:19:30,960 Speaker 1: was in essence what the speech was last night. Yes, 362 00:19:31,840 --> 00:19:34,280 Speaker 1: that really, you know, if you're looking for an encapsulation, 363 00:19:35,200 --> 00:19:37,760 Speaker 1: it's just a room full of people cheering American hero 364 00:19:37,920 --> 00:19:41,080 Speaker 1: shouting USA USA. I mean, let's really take a moment. 365 00:19:41,200 --> 00:19:43,640 Speaker 1: I know that there were people on the Democrat side 366 00:19:43,680 --> 00:19:46,560 Speaker 1: there who look like they were sucking on lemons. 367 00:19:47,640 --> 00:19:48,200 Speaker 2: You know who was. 368 00:19:48,160 --> 00:19:52,000 Speaker 1: Particularly actually mean? Well, I mean it's tough to compare 369 00:19:52,080 --> 00:19:56,600 Speaker 1: to ilha Omar and Rashida Talib, who truly if they 370 00:19:56,600 --> 00:19:58,520 Speaker 1: were in like a college auditorium, they would have been 371 00:19:58,520 --> 00:20:00,720 Speaker 1: ex you know, they would have been removed by security. Okay, 372 00:20:00,760 --> 00:20:05,639 Speaker 1: they're completely they're they're class lists, their grotesque, they're they're horrible. Okay, 373 00:20:05,840 --> 00:20:09,399 Speaker 1: But Mark Kelly, the idea that this guy is a 374 00:20:09,400 --> 00:20:13,879 Speaker 1: presidential contender, he's such a surly little fuddy duddy. You know, 375 00:20:14,119 --> 00:20:15,720 Speaker 1: I don't get it. Oh We're all supposed to be 376 00:20:15,720 --> 00:20:17,920 Speaker 1: so impressed by him. I'm not impressed by him at all. 377 00:20:18,080 --> 00:20:18,720 Speaker 1: I don't care. 378 00:20:19,080 --> 00:20:21,880 Speaker 2: He sits there with his scowl on his face, and 379 00:20:21,920 --> 00:20:23,960 Speaker 2: you say, what is there like? 380 00:20:23,960 --> 00:20:26,720 Speaker 1: Like, look around in America today. I know that Democrats 381 00:20:27,000 --> 00:20:29,359 Speaker 1: some of their favorite toys have been taken away. I 382 00:20:29,440 --> 00:20:32,199 Speaker 1: know that all Dei's taken a big hit. And we 383 00:20:32,200 --> 00:20:35,120 Speaker 1: don't have to use the preferred pronouns, and we don't 384 00:20:35,160 --> 00:20:37,280 Speaker 1: have to leave the borders wide open and pretend that 385 00:20:37,359 --> 00:20:40,920 Speaker 1: somebody who came here illegally yesterday is just as Americans 386 00:20:41,119 --> 00:20:43,159 Speaker 1: people who have been here for you know, hundreds of 387 00:20:43,200 --> 00:20:44,720 Speaker 1: years with their families. 388 00:20:44,760 --> 00:20:46,480 Speaker 2: You know, just the same. It's all the same. We 389 00:20:46,480 --> 00:20:47,560 Speaker 2: don't have to do that anymore. 390 00:20:47,760 --> 00:20:49,520 Speaker 1: But really, look at the day to day in the 391 00:20:49,520 --> 00:21:01,280 Speaker 1: country right now, Unemployment, inflation, overall economic growth GDP, per capita, wages, now, 392 00:21:01,280 --> 00:21:03,440 Speaker 1: I know prices are high. Yes, I'm not saying anything 393 00:21:03,480 --> 00:21:06,879 Speaker 1: it's perfect. Yes there's still a housing issue. But you 394 00:21:06,880 --> 00:21:08,639 Speaker 1: look at the borders being secure, You look at the 395 00:21:09,160 --> 00:21:13,159 Speaker 1: murder rate nationally coming down to effectively an all time low. 396 00:21:13,960 --> 00:21:17,199 Speaker 1: And then you add to this, where's the Are we 397 00:21:17,240 --> 00:21:20,400 Speaker 1: in some horrible war wipe right now with our our 398 00:21:20,880 --> 00:21:23,960 Speaker 1: bravest American men and women coming back in body bags 399 00:21:24,000 --> 00:21:26,280 Speaker 1: and the solemnity of having No, we aren't, Thank God, 400 00:21:26,359 --> 00:21:26,760 Speaker 1: we are not. 401 00:21:27,600 --> 00:21:29,399 Speaker 2: Are we in the midst of some terrible war? We 402 00:21:29,440 --> 00:21:29,639 Speaker 2: are not? 403 00:21:29,720 --> 00:21:33,240 Speaker 1: Are we in the midst of some economic depression or 404 00:21:33,320 --> 00:21:34,080 Speaker 1: great recession? 405 00:21:34,119 --> 00:21:34,159 Speaker 4: No? 406 00:21:34,280 --> 00:21:34,600 Speaker 2: We are not. 407 00:21:34,720 --> 00:21:34,919 Speaker 4: Are we? 408 00:21:35,359 --> 00:21:38,240 Speaker 2: What is the What is there to be so upset about? 409 00:21:38,320 --> 00:21:38,760 Speaker 5: Clay? 410 00:21:39,000 --> 00:21:41,639 Speaker 1: This is really I think I think it's so funny. 411 00:21:41,240 --> 00:21:45,280 Speaker 1: They're just so bad. I mean, spam Berger, who's a 412 00:21:45,359 --> 00:21:48,640 Speaker 1: total trojan horse. She is absolutely out of the Democrat 413 00:21:48,680 --> 00:21:49,320 Speaker 1: playbook of. 414 00:21:49,320 --> 00:21:52,199 Speaker 2: Like, oh, I'm sort of just a boring mom, just 415 00:21:52,320 --> 00:21:55,600 Speaker 2: like all of you. And then the lunatic communists just 416 00:21:55,800 --> 00:21:58,359 Speaker 2: you know, with their purple hair and their ear plugs 417 00:21:58,359 --> 00:21:59,240 Speaker 2: and their nose rings in. 418 00:21:59,240 --> 00:22:02,680 Speaker 1: The background like Marxism, you know, like that's what she's 419 00:22:02,800 --> 00:22:06,240 Speaker 1: She's gonna unleash them on America the second season Power, 420 00:22:06,240 --> 00:22:07,880 Speaker 1: which she's done to Virginia already. 421 00:22:08,560 --> 00:22:10,399 Speaker 2: What are these people? I really like that. This is 422 00:22:10,400 --> 00:22:15,040 Speaker 2: why when Trump called them crazy, they're crazy. They're actually nuts. 423 00:22:15,040 --> 00:22:16,359 Speaker 1: Like I don't have to sit here and get into 424 00:22:16,400 --> 00:22:19,960 Speaker 1: some in depth conversation about their view of knesy and economics. 425 00:22:20,160 --> 00:22:22,520 Speaker 1: They can't even spell knesy and economics. Do you think 426 00:22:22,600 --> 00:22:26,520 Speaker 1: Rashida Talib knows who Canes was, she knows what country. 427 00:22:26,200 --> 00:22:27,359 Speaker 5: He's from, or what I mean? 428 00:22:27,400 --> 00:22:31,240 Speaker 1: These people are imbeciles and all they do is just 429 00:22:31,240 --> 00:22:31,880 Speaker 1: just show what. 430 00:22:32,000 --> 00:22:36,879 Speaker 2: Malcontents they are. They just spew rage and envy and yeah, all. 431 00:22:36,760 --> 00:22:38,840 Speaker 1: Over the country. That's what I felt like last night. 432 00:22:40,800 --> 00:22:43,240 Speaker 1: I love what Trump. 433 00:22:43,040 --> 00:22:46,440 Speaker 3: Has done on crime, and I hope that he punched 434 00:22:46,480 --> 00:22:50,320 Speaker 3: through on this. We should be talking all the time 435 00:22:50,920 --> 00:22:54,199 Speaker 3: about the fact that murders are at one hundred and 436 00:22:54,240 --> 00:22:57,200 Speaker 3: twenty five year low. And I went and did research 437 00:22:57,280 --> 00:22:57,840 Speaker 3: this morning. 438 00:22:57,880 --> 00:22:58,120 Speaker 2: Buck. 439 00:22:58,200 --> 00:23:01,240 Speaker 3: You can go look it up Washington, DC, in particular 440 00:23:01,320 --> 00:23:04,760 Speaker 3: where Trump spoke last night, two hundred and fiftieth anniversary 441 00:23:04,800 --> 00:23:07,760 Speaker 3: of the country. No one is talking about this. I 442 00:23:07,760 --> 00:23:10,119 Speaker 3: feel sometimes like I'm screaming into a void. But I 443 00:23:10,119 --> 00:23:15,400 Speaker 3: think it is so incredibly important. Murders are down sixty 444 00:23:15,560 --> 00:23:19,680 Speaker 3: seven percent in Washington, d C. Since last year. Buck 445 00:23:20,359 --> 00:23:25,520 Speaker 3: twenty seven murders between January and February occurred in twenty 446 00:23:25,600 --> 00:23:29,120 Speaker 3: twenty five last year, which was already beginning a dramatic 447 00:23:29,160 --> 00:23:32,440 Speaker 3: decline from the past. With Trump coming into office, There's 448 00:23:32,480 --> 00:23:35,720 Speaker 3: only been nine murders in Washington, d C. In January 449 00:23:35,800 --> 00:23:42,640 Speaker 3: and February of twenty twenty six so far, sixty seven percent. Okay, 450 00:23:43,119 --> 00:23:46,320 Speaker 3: we talked about this when it happened. We said, Okay, 451 00:23:46,720 --> 00:23:49,840 Speaker 3: maybe Trump's going to surge resources in Washington, d C. 452 00:23:50,359 --> 00:23:53,600 Speaker 3: And it's just not gonna work. That would stink because 453 00:23:53,600 --> 00:23:58,400 Speaker 3: we would prefer that there was less violent crime. Murders 454 00:23:58,440 --> 00:24:02,720 Speaker 3: instead are down sixty seven percent. What if we have 455 00:24:03,080 --> 00:24:07,400 Speaker 3: just and I think it's becoming clear grown to accept 456 00:24:07,480 --> 00:24:12,240 Speaker 3: a certain level of crime that is absolutely unnecessary to accept, 457 00:24:12,920 --> 00:24:18,120 Speaker 3: and by surging resources in crime ridden communities, we can 458 00:24:18,160 --> 00:24:23,320 Speaker 3: actually make everybody infinitely safer. Wouldn't that be a great thing. 459 00:24:24,080 --> 00:24:27,800 Speaker 3: That's happening right now in Washington, d C. It's happening 460 00:24:27,840 --> 00:24:31,320 Speaker 3: in my home state Buck Memphis, Tennessee, and it's happening 461 00:24:31,400 --> 00:24:34,440 Speaker 3: in New Orleans Louisiana, which I think is such an 462 00:24:34,440 --> 00:24:38,439 Speaker 3: incredible story that it's impossible to attack Trump for and 463 00:24:38,520 --> 00:24:41,199 Speaker 3: it should be screamed louder. I'm glad he addressed it 464 00:24:41,280 --> 00:24:43,400 Speaker 3: last night, but I think a lot of people still 465 00:24:43,400 --> 00:24:45,920 Speaker 3: have no clue how much safer. And by the way, 466 00:24:46,280 --> 00:24:49,480 Speaker 3: do you know whose lives are being saved? Overwhelming the 467 00:24:49,800 --> 00:24:55,160 Speaker 3: minority lives? Because murder rates are not evenly distributed per capita. 468 00:24:55,680 --> 00:24:59,040 Speaker 3: Black and Hispanic people are far more likely to kill 469 00:24:59,080 --> 00:25:02,800 Speaker 3: each other than white and Asian people are, and Trump 470 00:25:02,840 --> 00:25:03,680 Speaker 3: is saving. 471 00:25:03,400 --> 00:25:05,760 Speaker 2: Tons of wives. I mean, this is a real tangible thing. 472 00:25:06,320 --> 00:25:08,960 Speaker 1: It is and and it reminds me Clay of an 473 00:25:09,080 --> 00:25:12,960 Speaker 1: There are a number of things where there was a binary, 474 00:25:13,119 --> 00:25:18,200 Speaker 1: like should we deport illegals or not? For the future 475 00:25:18,240 --> 00:25:21,920 Speaker 1: of this country is something that is I think it 476 00:25:21,920 --> 00:25:25,159 Speaker 1: should be obvious to anybody, but there's a deep and 477 00:25:25,359 --> 00:25:31,359 Speaker 1: long running philosophical Okay, is it better? You know, if 478 00:25:31,359 --> 00:25:35,080 Speaker 1: we deported x amount of the next five years, what's 479 00:25:35,080 --> 00:25:37,440 Speaker 1: it like in ten years? But these are things where 480 00:25:37,440 --> 00:25:39,560 Speaker 1: you can keep arguing about it, is my point. I 481 00:25:39,560 --> 00:25:41,520 Speaker 1: think it's very clear what's past for the country, but 482 00:25:41,560 --> 00:25:43,840 Speaker 1: you keep arguing about it. There are other things though, 483 00:25:44,640 --> 00:25:49,359 Speaker 1: where there's just there's a final declaration of what is, 484 00:25:49,440 --> 00:25:51,400 Speaker 1: who was right and who was wrong. I mean, you're 485 00:25:51,520 --> 00:25:54,760 Speaker 1: you love betting, you like predictions, You're into this stuff. Yeah, 486 00:25:55,440 --> 00:25:58,800 Speaker 1: And and sometimes it's you get it wrong, you get 487 00:25:58,800 --> 00:25:59,160 Speaker 1: it right. 488 00:25:59,200 --> 00:26:00,960 Speaker 2: You know this is can't tell. 489 00:26:01,200 --> 00:26:04,600 Speaker 3: Sometimes the outcome is unclear and you just argue, hey, 490 00:26:04,720 --> 00:26:06,000 Speaker 3: what what could have happened here? 491 00:26:06,040 --> 00:26:09,359 Speaker 2: What caused this? That's fair. But with Democrats on a 492 00:26:09,480 --> 00:26:14,480 Speaker 2: number of important issues with Trump, the experiment has been 493 00:26:14,600 --> 00:26:19,639 Speaker 2: run and we have seen the result, and they were wrong, 494 00:26:20,560 --> 00:26:24,920 Speaker 2: and they don't care. They don't change their tune, they 495 00:26:24,960 --> 00:26:28,199 Speaker 2: don't change their mind. They certainly don't say I'm sorry. 496 00:26:28,720 --> 00:26:32,680 Speaker 2: And this is what we're dealing with now, Clay. There 497 00:26:32,720 --> 00:26:36,040 Speaker 2: was an article in the New York Times by not 498 00:26:36,160 --> 00:26:38,080 Speaker 2: a right winger, and it's something we may want to 499 00:26:38,080 --> 00:26:40,000 Speaker 2: talk about. I known you had a detransitioner on last 500 00:26:40,000 --> 00:26:43,240 Speaker 2: week just saying ideology was pushing this trans care for 501 00:26:43,359 --> 00:26:46,800 Speaker 2: kids stuff. There was no there were no studies, there 502 00:26:46,880 --> 00:26:50,200 Speaker 2: was no benefit analysis. Really, it was just got a transom, 503 00:26:50,440 --> 00:26:52,240 Speaker 2: got a trans as fast I got a trans as 504 00:26:52,240 --> 00:26:53,760 Speaker 2: many of them as we can, as fast as we 505 00:26:53,800 --> 00:26:56,800 Speaker 2: can put them. Clay, testosterone is. 506 00:26:56,720 --> 00:27:00,119 Speaker 1: A controlled substance that is hard for adult males to 507 00:27:00,160 --> 00:27:02,120 Speaker 1: get without you. They have to get a doctor's prescription. 508 00:27:02,240 --> 00:27:04,000 Speaker 1: In some places, they want to know, you know, you know, 509 00:27:04,040 --> 00:27:06,000 Speaker 1: I have a ton of friends here in Miami. Who 510 00:27:06,040 --> 00:27:08,200 Speaker 1: are they call it, you know, pinning TRT. A ton 511 00:27:08,240 --> 00:27:11,639 Speaker 1: of friends here, and uh, if you go in and 512 00:27:11,640 --> 00:27:14,840 Speaker 1: you're like a teenage girl, they're gonna give you testosterone 513 00:27:14,840 --> 00:27:16,760 Speaker 1: as quickly as they can in a lot of these places. Right, 514 00:27:16,840 --> 00:27:19,720 Speaker 1: So it's controlled substance for men. But for my point, 515 00:27:19,720 --> 00:27:20,040 Speaker 1: on this. 516 00:27:20,040 --> 00:27:22,359 Speaker 3: Great point, that's the story that she told us, which 517 00:27:22,520 --> 00:27:24,720 Speaker 3: was a lot of people still reacting to it at 518 00:27:24,760 --> 00:27:27,119 Speaker 3: seventeen years old. They just start pumping this you know, 519 00:27:27,359 --> 00:27:31,520 Speaker 3: little girl, young girl, completely full of testosterone. 520 00:27:31,920 --> 00:27:34,399 Speaker 2: It's in clay. And what they have to understand is 521 00:27:34,680 --> 00:27:37,320 Speaker 2: there's no if you're a man and they're doing that 522 00:27:37,400 --> 00:27:41,240 Speaker 2: for you, there's a completely clear medical basis which is 523 00:27:41,520 --> 00:27:45,320 Speaker 2: what is the optimum range for a man to be in. 524 00:27:45,680 --> 00:27:46,360 Speaker 2: And they have to check. 525 00:27:46,400 --> 00:27:49,040 Speaker 1: They'll check your hematocrit, they'll check your blood range, will 526 00:27:49,080 --> 00:27:51,240 Speaker 1: check you know. Again, as part of my fitness journey, 527 00:27:51,359 --> 00:27:53,560 Speaker 1: I've been doing I've done peptides and I've talked with 528 00:27:53,600 --> 00:27:55,240 Speaker 1: this another time. The only reason I don't talk about 529 00:27:55,240 --> 00:27:56,920 Speaker 1: it more, by the way, is just because I don't 530 00:27:56,920 --> 00:27:59,199 Speaker 1: want to be accused of like giving medical advisory. So 531 00:27:59,400 --> 00:28:01,520 Speaker 1: that's why I'm a little but I'm a huge believer 532 00:28:01,600 --> 00:28:03,960 Speaker 1: in get to a get to a performance dock. 533 00:28:04,280 --> 00:28:05,560 Speaker 2: Talk to that performance dock. 534 00:28:05,440 --> 00:28:09,480 Speaker 1: About MD medical doctor about peptides, and maybe one day 535 00:28:09,480 --> 00:28:11,200 Speaker 1: we can have one on the show, claiming I actually 536 00:28:11,200 --> 00:28:14,600 Speaker 1: probably talked to Marty McCay about this tomorrow because I 537 00:28:14,600 --> 00:28:16,359 Speaker 1: think this is critical for health and a lot of things. 538 00:28:16,359 --> 00:28:19,720 Speaker 1: My point is, what is the proper testosterone level for 539 00:28:19,840 --> 00:28:23,080 Speaker 1: a girl who thinks she's a boy? There is no 540 00:28:23,200 --> 00:28:28,080 Speaker 1: proper tech like this doesn't exist. This is like you know, 541 00:28:28,119 --> 00:28:31,360 Speaker 1: you're you're crossing, you know, a hyena with a giraffe, 542 00:28:31,440 --> 00:28:33,680 Speaker 1: Like this is not supposed to happen. You're not supposed 543 00:28:33,720 --> 00:28:38,160 Speaker 1: to do this. And they're finally now admitting that the 544 00:28:38,360 --> 00:28:42,680 Speaker 1: science was not settled, the science was ideological, and that's 545 00:28:42,800 --> 00:28:45,520 Speaker 1: just one incredibly important issue. But Clay, on the issue 546 00:28:45,520 --> 00:28:48,080 Speaker 1: of crime, which you just brought up, we were having 547 00:28:48,160 --> 00:28:51,720 Speaker 1: this debate over at Morning Joe. They were coming off 548 00:28:52,120 --> 00:28:55,840 Speaker 1: the croquet course, Mika and Joe with the sweaters around 549 00:28:55,840 --> 00:28:58,720 Speaker 1: their shoulders to laugh at all the peasants about how 550 00:28:58,760 --> 00:29:02,320 Speaker 1: they thought that they'd be safer. If you know, Donald 551 00:29:02,320 --> 00:29:05,800 Speaker 1: Trump actually put federal resources to work to make people safer. 552 00:29:06,320 --> 00:29:07,080 Speaker 3: He was right. 553 00:29:07,880 --> 00:29:10,320 Speaker 2: The numbers show it. They were wrong. 554 00:29:11,120 --> 00:29:13,480 Speaker 1: Why aren't there articles in the New York Times? Why 555 00:29:13,480 --> 00:29:16,000 Speaker 1: aren't there Democrats were saying, you know, I don't like 556 00:29:16,120 --> 00:29:19,080 Speaker 1: Trump on this. I disagree with how he does that. 557 00:29:19,400 --> 00:29:22,320 Speaker 1: I wish he didn't make such funny jokes about ilhan 558 00:29:22,360 --> 00:29:23,520 Speaker 1: Omar or whatever. 559 00:29:23,880 --> 00:29:26,680 Speaker 2: But he was right on crime Clay. 560 00:29:26,680 --> 00:29:29,240 Speaker 1: You know what happens if you do that, they Eric Adams, 561 00:29:29,240 --> 00:29:33,240 Speaker 1: You you get pushed out of the good graces of 562 00:29:33,280 --> 00:29:35,640 Speaker 1: the party and maybe you get a federal prosecution thrown 563 00:29:35,680 --> 00:29:37,680 Speaker 1: at you if they're in power, just to show you 564 00:29:37,680 --> 00:29:41,200 Speaker 1: who the real boss is. These people, I keep coming 565 00:29:41,240 --> 00:29:44,840 Speaker 1: back to it. These Democrats are nuts. They're nuts. They 566 00:29:44,840 --> 00:29:49,120 Speaker 1: are unmoored from reality. I just look at it and say, 567 00:29:50,080 --> 00:29:54,760 Speaker 1: murders going down. Anything we could do to make that happen, 568 00:29:54,880 --> 00:29:58,320 Speaker 1: and that you know this, There are so many, you know, 569 00:29:58,440 --> 00:30:05,040 Speaker 1: downstream impacts from murders declining. Obviously, public safety is number one, 570 00:30:05,200 --> 00:30:08,720 Speaker 1: because everybody feels more feel safer. 571 00:30:08,360 --> 00:30:14,640 Speaker 3: In their communities. But the impact of psychologically of people 572 00:30:14,720 --> 00:30:18,640 Speaker 3: who lose loved ones to violent crime, you never recover 573 00:30:18,720 --> 00:30:23,520 Speaker 3: from it. Right now, there are thousands of people who 574 00:30:23,640 --> 00:30:29,160 Speaker 3: will never experience that feeling because Trump and the people 575 00:30:29,240 --> 00:30:32,440 Speaker 3: who work with him, the law enforcement, the National Guard, 576 00:30:32,560 --> 00:30:36,040 Speaker 3: everybody out there that serves the resources. Ice, Yes, Ice, 577 00:30:36,640 --> 00:30:40,000 Speaker 3: all of those people have made it such that thousands 578 00:30:40,040 --> 00:30:42,440 Speaker 3: of people are walking the streets today who would have 579 00:30:42,560 --> 00:30:43,480 Speaker 3: been dead. 580 00:30:44,240 --> 00:30:44,880 Speaker 2: I don't know. 581 00:30:44,880 --> 00:30:48,560 Speaker 3: How you cannot make that a signature achievement. 582 00:30:48,680 --> 00:30:48,960 Speaker 2: Buck. 583 00:30:49,040 --> 00:30:51,840 Speaker 3: If you and I had come on, if we had said, hey, 584 00:30:51,840 --> 00:30:56,200 Speaker 3: what's your prediction for twenty twenty four, twenty twenty five, 585 00:30:56,320 --> 00:30:59,440 Speaker 3: what is your one of Trump gonna make happen? If 586 00:30:59,520 --> 00:31:01,840 Speaker 3: you or I had said in January of twenty twenty five, 587 00:31:02,000 --> 00:31:03,959 Speaker 3: I think we're going to hit one hundred and twenty 588 00:31:03,960 --> 00:31:07,760 Speaker 3: five year low in murders, somebody would eclip that and 589 00:31:07,800 --> 00:31:11,280 Speaker 3: they would have said, this is the most crazy, pro Trump, 590 00:31:11,320 --> 00:31:12,400 Speaker 3: outlandish prediction. 591 00:31:12,480 --> 00:31:14,320 Speaker 1: They would have laughed at it. Exist They would have laughed. 592 00:31:14,320 --> 00:31:17,280 Speaker 1: They wouldn't even think an analytal. They would have mocked us. Yes, 593 00:31:17,800 --> 00:31:19,800 Speaker 1: it happened, It happened. 594 00:31:20,240 --> 00:31:22,320 Speaker 3: You and I wouldn't have even thought to predict it 595 00:31:22,400 --> 00:31:26,920 Speaker 3: because it's such an unexpected outcome and it's like, we're 596 00:31:26,920 --> 00:31:29,000 Speaker 3: not even going to check the scoreboard, We're not even 597 00:31:29,000 --> 00:31:30,760 Speaker 3: gonna renalyize basic data. 598 00:31:31,320 --> 00:31:33,120 Speaker 1: I would put it on the other side too, where 599 00:31:33,480 --> 00:31:37,960 Speaker 1: remember Joe Biden astute Lee unfortunately because he knew, because 600 00:31:37,960 --> 00:31:39,280 Speaker 1: he's been in the game a long time, or at 601 00:31:39,320 --> 00:31:41,800 Speaker 1: least his senior advisors knew. He never went full BLM 602 00:31:42,400 --> 00:31:45,480 Speaker 1: because he with defund the police. He knew defund the police. 603 00:31:45,520 --> 00:31:48,160 Speaker 1: Defund the police is a moron is a moron slogan, 604 00:31:48,320 --> 00:31:50,800 Speaker 1: and you're gonna politically it's toxic. You can't win with 605 00:31:50,880 --> 00:31:54,320 Speaker 1: defund the police. He knew that, and so he stayed 606 00:31:54,360 --> 00:31:56,479 Speaker 1: away from it. If Joe Biden had come into office 607 00:31:56,520 --> 00:31:58,320 Speaker 1: and said, you know what, I know this is going 608 00:31:58,360 --> 00:32:01,000 Speaker 1: to upset some communities, but the numbers are speak for themselves, 609 00:32:01,160 --> 00:32:04,120 Speaker 1: and actually, particularly minority communities will benefit from the lives 610 00:32:04,160 --> 00:32:06,160 Speaker 1: save more than anybody else. We're going to go all 611 00:32:06,200 --> 00:32:08,600 Speaker 1: in on crime, and Joe Biden delivered one hundred and 612 00:32:08,640 --> 00:32:11,640 Speaker 1: twenty year low in the murder rate. We would be 613 00:32:11,680 --> 00:32:14,360 Speaker 1: on here and I'd be saying, you'd be saying, wow, 614 00:32:14,680 --> 00:32:17,880 Speaker 1: I didn't think he had it in him, but pretty remarkable. 615 00:32:18,320 --> 00:32:20,760 Speaker 1: Maybe he's getting more credit for it than he deserves. 616 00:32:21,000 --> 00:32:23,520 Speaker 1: But it's a good thing. And if we had opposed it, 617 00:32:23,560 --> 00:32:25,080 Speaker 1: I would I mean, I don't know how that would 618 00:32:25,080 --> 00:32:26,880 Speaker 1: have happened, right, but I'm just saying if we had 619 00:32:26,920 --> 00:32:28,880 Speaker 1: doubted it, I would have been like, he proved us wrong. 620 00:32:29,080 --> 00:32:31,240 Speaker 1: It's a good thing. Some people in the audience would 621 00:32:31,240 --> 00:32:33,040 Speaker 1: be mad at us, because they're mad whenever I say 622 00:32:33,040 --> 00:32:35,640 Speaker 1: anything nice about anything a Democrat does. And that's fine, 623 00:32:35,920 --> 00:32:38,760 Speaker 1: but that's where we'd beat Democrats don't do that. They 624 00:32:39,040 --> 00:32:42,720 Speaker 1: cheer Trump saving lives because it's Trump. That's where they are. 625 00:32:44,400 --> 00:32:46,560 Speaker 1: It's pretty crazy. I mean again, I keep coming back 626 00:32:46,560 --> 00:32:48,680 Speaker 1: to that word. They're crazy, guys. This is what we're 627 00:32:48,760 --> 00:32:50,880 Speaker 1: up against. Why we can't let these people back near 628 00:32:50,880 --> 00:32:53,240 Speaker 1: the levers of power. All right, Israel continues to be 629 00:32:53,240 --> 00:32:55,280 Speaker 1: in the news cycle. Well, there's a lot of focus 630 00:32:55,280 --> 00:32:58,120 Speaker 1: on neighboring Iran. It's the safety of Israel's residents that 631 00:32:58,160 --> 00:33:00,920 Speaker 1: a lot of Americans are thinking about. These For those 632 00:33:00,920 --> 00:33:03,479 Speaker 1: in this audience that reference to the Bible in your 633 00:33:03,560 --> 00:33:06,560 Speaker 1: daily lives, that reference the Bible rather than your daily lives, 634 00:33:06,600 --> 00:33:08,280 Speaker 1: you know, the phrase from the Book of Abraham, I 635 00:33:08,320 --> 00:33:11,600 Speaker 1: will bless those who bless you. It reminds every Christian 636 00:33:11,920 --> 00:33:13,800 Speaker 1: to look after those of the Jewish faith, and you 637 00:33:13,800 --> 00:33:16,160 Speaker 1: will be blessed for doing so. And today, with anti 638 00:33:16,160 --> 00:33:18,920 Speaker 1: Semitism rising around the world, that calling is more urgent 639 00:33:18,920 --> 00:33:21,680 Speaker 1: than ever. At a time when Jewish communities are experiencing 640 00:33:21,680 --> 00:33:25,080 Speaker 1: more hostility, more threats, and more violence than ever, Christians 641 00:33:25,080 --> 00:33:27,600 Speaker 1: have a powerful opportunity to say We've got your back. 642 00:33:27,840 --> 00:33:31,240 Speaker 1: When Christians choose to bless Israel's people, we're not taking 643 00:33:31,240 --> 00:33:33,720 Speaker 1: a political stand. We're honoring the root of our faith 644 00:33:33,720 --> 00:33:36,920 Speaker 1: and standing against hatred. Supporting Israel is more than a belief. 645 00:33:36,920 --> 00:33:39,760 Speaker 1: And by partnering with the International Fellowship of Christians and Jews, 646 00:33:39,960 --> 00:33:42,960 Speaker 1: an organization doing so much for so many Israeli residents 647 00:33:42,960 --> 00:33:46,160 Speaker 1: in need, you're empowering the IFCJ to help those in Israel. 648 00:33:46,440 --> 00:33:51,440 Speaker 1: Visit IFCJ dot org today. That's IFCJ dot org. 649 00:33:53,040 --> 00:33:55,560 Speaker 4: Want to begin to know when you're on to go 650 00:33:56,000 --> 00:33:59,920 Speaker 4: The Team forty seven podcasts shrump highlights from the week 651 00:34:00,280 --> 00:34:02,520 Speaker 4: some days at noon Eastern in the clay In Book 652 00:34:02,560 --> 00:34:06,240 Speaker 4: podcast Speed find it on the iHeartRadio amp or wherever 653 00:34:06,280 --> 00:34:07,520 Speaker 4: you get your podcasts. 654 00:34:08,080 --> 00:34:09,799 Speaker 2: Welcome back into Clay and Buck. 655 00:34:09,960 --> 00:34:12,440 Speaker 1: I want to remind you all Manufacturing Delusion, my friends, 656 00:34:12,560 --> 00:34:14,760 Speaker 1: was the number four book in the world last week, 657 00:34:15,320 --> 00:34:17,919 Speaker 1: which was pretty good considering the top three books were 658 00:34:17,960 --> 00:34:22,160 Speaker 1: like Global Massive Massive, a couple of particular Global Massive 659 00:34:22,160 --> 00:34:24,680 Speaker 1: Massive bestsellers selling millions of copies. 660 00:34:24,360 --> 00:34:25,919 Speaker 2: Which is really hard to do with the book. 661 00:34:26,000 --> 00:34:30,640 Speaker 1: So for new releases crushing it only lost to the Bunny. 662 00:34:30,680 --> 00:34:32,200 Speaker 1: You know what, Props to the Bunny. 663 00:34:32,480 --> 00:34:32,680 Speaker 2: Now. 664 00:34:32,680 --> 00:34:34,200 Speaker 1: I got to meet this jelly roll guy at some 665 00:34:34,200 --> 00:34:38,400 Speaker 1: point and be like, dude, your wife's memoir was stiff competition. 666 00:34:38,480 --> 00:34:40,279 Speaker 1: I don't know what else to say. People bind the member. 667 00:34:40,360 --> 00:34:42,840 Speaker 1: But by manufacturing delusion and something else I want to 668 00:34:42,840 --> 00:34:44,800 Speaker 1: tell you. I'm talking about the Democrats are so crazy. 669 00:34:45,280 --> 00:34:48,200 Speaker 1: This explains why and how they're made that way. That's 670 00:34:48,200 --> 00:34:50,279 Speaker 1: why I think you really liked the book. There's all 671 00:34:50,320 --> 00:34:52,520 Speaker 1: these fake I was telling Clay about this. This goes 672 00:34:52,560 --> 00:34:54,040 Speaker 1: to something else that's in the book, which is how 673 00:34:54,040 --> 00:34:59,000 Speaker 1: technology is going to affect perception management, information operations and 674 00:34:59,040 --> 00:35:03,360 Speaker 1: really profound ways. Clay, there are people creating fake books. 675 00:35:03,760 --> 00:35:07,040 Speaker 1: They go and they look on the bestseller list and 676 00:35:07,080 --> 00:35:10,840 Speaker 1: then they create fake versions of those books, same title, 677 00:35:10,960 --> 00:35:13,440 Speaker 1: but you know, change a few things. AI lets them 678 00:35:13,480 --> 00:35:16,040 Speaker 1: do this in a minute or two and they just 679 00:35:16,040 --> 00:35:18,560 Speaker 1: put it up and then they hope that people just say, oh, 680 00:35:18,600 --> 00:35:21,160 Speaker 1: that's the title, and they click and they spend you know, 681 00:35:21,200 --> 00:35:24,920 Speaker 1: twenty bucks buying a fake AI book. 682 00:35:25,000 --> 00:35:27,080 Speaker 2: And this has happened. It's happened to some of our people. 683 00:35:27,120 --> 00:35:27,760 Speaker 2: I'm so sorry. 684 00:35:27,800 --> 00:35:29,840 Speaker 1: By the way, guys, We're pulling them down as fast 685 00:35:29,880 --> 00:35:32,359 Speaker 1: as we can. But this is just now the new 686 00:35:32,680 --> 00:35:35,200 Speaker 1: This is one of the new fraudster games that they play. 687 00:35:35,239 --> 00:35:38,279 Speaker 1: It happens with all products. If you are going this 688 00:35:38,400 --> 00:35:41,680 Speaker 1: is just a PSA. If you are going on to 689 00:35:41,800 --> 00:35:46,880 Speaker 1: buy something online now, the first several results are paid for. 690 00:35:47,200 --> 00:35:49,400 Speaker 1: They're not what you would actually want to look for. 691 00:35:49,560 --> 00:35:52,520 Speaker 1: Even on Amazon, if you look, you'll see sponsored beside it. 692 00:35:52,600 --> 00:35:57,479 Speaker 1: Somebody is paying for that placement. Scroll down, scroll down. 693 00:35:57,560 --> 00:36:00,440 Speaker 3: You can't trust whatever the top result is when you're 694 00:36:00,440 --> 00:36:01,440 Speaker 3: buying a product. 695 00:36:01,480 --> 00:36:03,839 Speaker 2: Now, you can get scammed that way. 696 00:36:03,920 --> 00:36:07,280 Speaker 3: Even hotels, Buch you ever try to go on Google 697 00:36:07,640 --> 00:36:10,520 Speaker 3: and just type in a specific hotel you want to 698 00:36:10,560 --> 00:36:11,200 Speaker 3: stay at. 699 00:36:11,520 --> 00:36:11,920 Speaker 2: I don't know. 700 00:36:11,960 --> 00:36:13,800 Speaker 3: We stay at the Thompson a lot of times. And 701 00:36:14,000 --> 00:36:18,319 Speaker 3: right by iHeart you type in Thompson Central Park. The 702 00:36:18,400 --> 00:36:22,520 Speaker 3: top several are not the official hotel website and they 703 00:36:22,600 --> 00:36:25,360 Speaker 3: will not even give you the best rate because they're 704 00:36:25,640 --> 00:36:29,839 Speaker 3: taking and booking and then going back and booking through 705 00:36:29,880 --> 00:36:30,320 Speaker 3: the hotel. 706 00:36:30,360 --> 00:36:30,720 Speaker 2: Anyway. 707 00:36:30,840 --> 00:36:33,600 Speaker 3: It is broken and it's something that needs to be 708 00:36:33,680 --> 00:36:35,960 Speaker 3: addressed and you need to pay attention to. You cannot 709 00:36:35,960 --> 00:36:38,399 Speaker 3: result trust anymore top RaaS. This is what the book 710 00:36:38,400 --> 00:36:41,239 Speaker 3: looks like, manufacturing delusion. This is the real book. Go 711 00:36:41,320 --> 00:36:42,040 Speaker 3: buy it today.