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