1 00:00:01,680 --> 00:00:05,320 Speaker 1: Welcome in Clay Travis buck Sexton Show. I hope all 2 00:00:05,360 --> 00:00:07,840 Speaker 1: of you are having fantastic Fridays. 3 00:00:07,880 --> 00:00:10,280 Speaker 2: I bet there are some bleary eyes. 4 00:00:10,039 --> 00:00:13,280 Speaker 1: Across the nation because basketball did not end until one 5 00:00:13,320 --> 00:00:16,439 Speaker 1: am last night on the East coast. I am on 6 00:00:16,520 --> 00:00:19,360 Speaker 1: the East coast in Washington. 7 00:00:18,960 --> 00:00:19,239 Speaker 3: D C. 8 00:00:19,520 --> 00:00:22,720 Speaker 1: Gearing up for a trip with President Trump on Air 9 00:00:22,760 --> 00:00:23,439 Speaker 1: Force one. 10 00:00:23,600 --> 00:00:24,720 Speaker 2: That does not stink. 11 00:00:25,239 --> 00:00:27,640 Speaker 1: I'm excited to be here in our DC studio Freedom 12 00:00:27,680 --> 00:00:30,720 Speaker 1: one oh four point seven reminder, and thank you. We 13 00:00:30,840 --> 00:00:34,680 Speaker 1: hit five hundred and fifty five affiliate stations this week, 14 00:00:35,240 --> 00:00:38,480 Speaker 1: up nearly two hundred since we started four years ago. 15 00:00:39,040 --> 00:00:41,520 Speaker 1: That is a testament to this audience, to the show, 16 00:00:41,800 --> 00:00:45,560 Speaker 1: and to people being able to overlook buck Sexton hating 17 00:00:45,600 --> 00:00:49,640 Speaker 1: cobbler and having pistachio ice cream fantasies. So the fact 18 00:00:49,640 --> 00:00:53,279 Speaker 1: that we've overcome all that is truly remarkable. We got 19 00:00:53,320 --> 00:00:56,080 Speaker 1: a lot to dive into here. President Trump this morning 20 00:00:56,160 --> 00:00:59,880 Speaker 1: has officially signed papers to end the Department of Education, 21 00:01:00,000 --> 00:01:02,520 Speaker 1: and we're going to be reacting to that. Elon Musk, 22 00:01:03,440 --> 00:01:07,759 Speaker 1: I think it's really kind of extraordinary. Has become even 23 00:01:07,880 --> 00:01:10,400 Speaker 1: more of a target. I bet you would agree with this, 24 00:01:10,480 --> 00:01:15,360 Speaker 1: Buck than even Trump himself. Now, I think they've recognized 25 00:01:15,400 --> 00:01:18,119 Speaker 1: that there are no new attacks they can levy on Trump. 26 00:01:18,120 --> 00:01:21,120 Speaker 1: I mean, once they call you Hitler and the American 27 00:01:21,200 --> 00:01:23,360 Speaker 1: public goes ahead and votes for you, it's like, oh, 28 00:01:23,720 --> 00:01:26,280 Speaker 1: I don't know that anything is really registering when it 29 00:01:26,319 --> 00:01:29,319 Speaker 1: comes to the attacks on Trump. But they are coming 30 00:01:29,360 --> 00:01:31,880 Speaker 1: after Elon with a vengeance. And I was listening this 31 00:01:31,959 --> 00:01:36,000 Speaker 1: morning our friend Sean Parnell, formerly of the Clay and 32 00:01:36,040 --> 00:01:39,520 Speaker 1: Buck podcast at Network, now high up at the Department 33 00:01:39,560 --> 00:01:43,520 Speaker 1: of Defense. Elon was meeting at the Pentagon this morning 34 00:01:44,319 --> 00:01:46,680 Speaker 1: and the meeting was designed to try to figure out 35 00:01:46,680 --> 00:01:50,480 Speaker 1: ways to save more money through DOGE. It was reported 36 00:01:50,520 --> 00:01:53,600 Speaker 1: in the New York Times that the meeting, and on 37 00:01:53,640 --> 00:01:55,720 Speaker 1: its face, I just thought this was crazy, Buck, and 38 00:01:55,760 --> 00:01:58,600 Speaker 1: I don't know about you. The New York Times reported 39 00:01:58,640 --> 00:02:02,560 Speaker 1: that Elon was getting access to how we would respond 40 00:02:02,640 --> 00:02:07,640 Speaker 1: to China militarily in the event they attacked, which is 41 00:02:07,680 --> 00:02:10,520 Speaker 1: so outlandish and crazy. Like I thought I was being 42 00:02:10,600 --> 00:02:13,720 Speaker 1: pranked when I saw the headline. They say that it 43 00:02:13,800 --> 00:02:18,000 Speaker 1: is completely untrue. Here is Sean Parnell talking about what 44 00:02:18,080 --> 00:02:20,680 Speaker 1: Elon was doing on the Pentagon visit, and I know 45 00:02:20,800 --> 00:02:24,720 Speaker 1: Trump and Pete hegset. Defense Secretary have just addressed it 46 00:02:24,760 --> 00:02:28,040 Speaker 1: in the last several minutes from inside of the Oval office. 47 00:02:28,040 --> 00:02:30,639 Speaker 1: But here's our friend Sean Parnell cut six. 48 00:02:30,639 --> 00:02:32,720 Speaker 4: On the record. That is completely fake. And let me 49 00:02:32,760 --> 00:02:35,079 Speaker 4: show you this. This started with this New York Times 50 00:02:35,120 --> 00:02:37,880 Speaker 4: headline and they since changed it. But Musk set to 51 00:02:37,880 --> 00:02:40,560 Speaker 4: get access to top secret US plan for potential war 52 00:02:40,600 --> 00:02:43,400 Speaker 4: with China. This is egregious, This is fake. The New 53 00:02:43,440 --> 00:02:47,119 Speaker 4: York Times should retract this story. Five anonymous sources. I've 54 00:02:47,120 --> 00:02:50,960 Speaker 4: been on Bilat calls with the Secretary. I see how 55 00:02:51,040 --> 00:02:54,480 Speaker 4: hard he's working to implement the President's agenda and pursue 56 00:02:54,480 --> 00:02:57,600 Speaker 4: peace through strength. This type of garbage from the New 57 00:02:57,680 --> 00:03:02,120 Speaker 4: York Times undermines that process, undermines our mission. It shouldn't 58 00:03:02,160 --> 00:03:04,760 Speaker 4: happen at all. Elon Musk is just coming over here 59 00:03:04,800 --> 00:03:05,360 Speaker 4: for a visit. 60 00:03:06,520 --> 00:03:10,200 Speaker 1: I mean, buck, this is kind of crazy. First of all, 61 00:03:10,240 --> 00:03:12,120 Speaker 1: do you buy that they would be giving a brief 62 00:03:12,120 --> 00:03:14,520 Speaker 1: Why would they give Elon Musk a briefing on the 63 00:03:14,560 --> 00:03:17,600 Speaker 1: military response in the event we went to war with China. 64 00:03:17,639 --> 00:03:20,160 Speaker 1: It's a very strange thing, like what's going on? 65 00:03:20,200 --> 00:03:23,680 Speaker 2: No, I think that whatever it is that they were 66 00:03:23,720 --> 00:03:28,000 Speaker 2: reporting whatever their sources said was either just flat out 67 00:03:28,040 --> 00:03:31,480 Speaker 2: wrong or misreported because they had the story wrong right, 68 00:03:31,480 --> 00:03:33,560 Speaker 2: So it was either they just ran with it and 69 00:03:33,600 --> 00:03:37,240 Speaker 2: didn't care, or they exaggerated dramatically whatever it was that 70 00:03:37,280 --> 00:03:40,280 Speaker 2: I've been said, Keep in mind, Elon Musk already has 71 00:03:40,400 --> 00:03:44,000 Speaker 2: a top secret and compartmented security clearance. He can see 72 00:03:44,040 --> 00:03:48,520 Speaker 2: a lot. There seems to be this very weird game, 73 00:03:48,600 --> 00:03:51,160 Speaker 2: you know, Tim Wallas. I think recently Clay said that 74 00:03:51,200 --> 00:03:53,800 Speaker 2: Elon should go back to South Africa or something like that. 75 00:03:54,480 --> 00:03:58,760 Speaker 2: Elon's been an American citizen for twenty years. Interesting, isn't 76 00:03:58,800 --> 00:04:02,240 Speaker 2: it how the Democrats all this sudden are the xenophobic 77 00:04:02,280 --> 00:04:05,320 Speaker 2: ones when they don't like what someone's doing to their 78 00:04:05,400 --> 00:04:10,680 Speaker 2: favorite group of toys, which is all these different federal agencies. Elon, also, 79 00:04:10,840 --> 00:04:14,520 Speaker 2: because of the role that he has with SpaceX, is 80 00:04:14,600 --> 00:04:21,320 Speaker 2: going to know more about you know, aerodynamics, jet propulsion capabilities, 81 00:04:21,440 --> 00:04:25,599 Speaker 2: space technology then basically anybody in the United States government anyway. 82 00:04:25,760 --> 00:04:27,640 Speaker 2: I hate to have to break that to anyone, but 83 00:04:28,160 --> 00:04:30,720 Speaker 2: if you want to know what's truly cutting edge, you 84 00:04:30,760 --> 00:04:34,039 Speaker 2: wouldn't sit down with NASA, you would sit down with Elon. 85 00:04:34,120 --> 00:04:36,719 Speaker 2: And I think that Democrats have a really hard even 86 00:04:36,720 --> 00:04:38,400 Speaker 2: if they tried to think it through, which they don't 87 00:04:38,560 --> 00:04:40,359 Speaker 2: have a very hard time with that, because they like 88 00:04:40,400 --> 00:04:43,440 Speaker 2: to believe that, just like in the movie Armagedin, there's 89 00:04:43,440 --> 00:04:45,680 Speaker 2: a team of geniuses at NASA that will save us 90 00:04:45,720 --> 00:04:48,359 Speaker 2: from the asteroid hitting, which by the way, is not true. 91 00:04:48,520 --> 00:04:50,839 Speaker 2: There's a team that could get a great DEI seminar 92 00:04:50,920 --> 00:04:54,520 Speaker 2: going for you, but NASA is not what we were 93 00:04:54,720 --> 00:04:57,480 Speaker 2: raised to believe it was from the moon landing days. 94 00:04:57,720 --> 00:05:00,440 Speaker 2: So they're going after Elon though, collect and I think 95 00:05:00,480 --> 00:05:02,760 Speaker 2: it's because of a couple of things. One, they see 96 00:05:02,839 --> 00:05:07,520 Speaker 2: him as really the implementur of the Trump agenda right now, 97 00:05:07,920 --> 00:05:10,920 Speaker 2: and I think he also worries them in a longer 98 00:05:11,040 --> 00:05:14,400 Speaker 2: term sense because he's the richest man in the world, 99 00:05:14,520 --> 00:05:17,120 Speaker 2: running some of the most influential companies in the world, 100 00:05:17,720 --> 00:05:19,640 Speaker 2: and he's going to be around for a long time, 101 00:05:20,000 --> 00:05:23,680 Speaker 2: and his influence isn't one election. His influence could be 102 00:05:23,760 --> 00:05:26,520 Speaker 2: much more meaningful than that over the long term, you know, 103 00:05:26,600 --> 00:05:28,800 Speaker 2: not just the four years that he may be helping Trump. 104 00:05:29,279 --> 00:05:33,600 Speaker 2: And that's why they've really focused their fire pardon expression. 105 00:05:33,680 --> 00:05:37,400 Speaker 2: They focus their anger more at Elon than at Trump. 106 00:05:37,440 --> 00:05:39,680 Speaker 2: For the last couple of months. I think you're one 107 00:05:39,720 --> 00:05:40,560 Speaker 2: hundred percent right. 108 00:05:40,640 --> 00:05:44,280 Speaker 1: I would also suggest that partly it's because they have 109 00:05:44,360 --> 00:05:47,520 Speaker 1: now recognized that their attacks on Trump just don't work. 110 00:05:48,480 --> 00:05:52,240 Speaker 1: And what the data reflected, there's some interesting data from 111 00:05:52,240 --> 00:05:56,600 Speaker 1: the election, Buck that shows that one reason Kamala had 112 00:05:56,640 --> 00:06:00,760 Speaker 1: so much difficulty defining Trump was every time she tried 113 00:06:00,760 --> 00:06:04,520 Speaker 1: to attack him, it actually worked to Trump's favor. Because 114 00:06:04,600 --> 00:06:07,440 Speaker 1: once you try to imprison someone for the rest of 115 00:06:07,480 --> 00:06:10,280 Speaker 1: their life, and once you try to bankrupt them, and 116 00:06:10,320 --> 00:06:13,240 Speaker 1: once you have called them hitler for nearly a decade, 117 00:06:13,920 --> 00:06:17,159 Speaker 1: eventually you get to the point where all of those 118 00:06:17,160 --> 00:06:20,400 Speaker 1: attacks have no more impact. And I suspect that what 119 00:06:20,480 --> 00:06:24,440 Speaker 1: has happened is they looked at Elon and they said, Okay, 120 00:06:25,279 --> 00:06:29,080 Speaker 1: he hasn't been attacked in the same way. And it's interesting, 121 00:06:29,120 --> 00:06:32,160 Speaker 1: Buck to me, because what they tried to do initially 122 00:06:32,839 --> 00:06:37,080 Speaker 1: was say, oh, Elon's really the president of the United States. 123 00:06:37,520 --> 00:06:40,719 Speaker 1: There was a calculated attempt to try to divide Trump 124 00:06:40,800 --> 00:06:44,960 Speaker 1: and Elon by saying, Trump, who you've tried to tell us, 125 00:06:45,040 --> 00:06:50,440 Speaker 1: is this authoritarian Hitlarian dictator is actually not in command 126 00:06:50,640 --> 00:06:55,279 Speaker 1: of this regime of this new term. It's actually Elon Musk. 127 00:06:55,600 --> 00:06:58,080 Speaker 1: That seems to have fallen flat because that was their 128 00:06:58,120 --> 00:07:01,320 Speaker 1: initial way to come after Elon, and now the new 129 00:07:01,360 --> 00:07:05,320 Speaker 1: attack is, let's try to hit Elon in the pocket book, 130 00:07:05,440 --> 00:07:08,440 Speaker 1: Let's try to destroy him. I mean, this tesla stuff 131 00:07:08,480 --> 00:07:11,640 Speaker 1: is crazy, buck. Some of it is just silly, like 132 00:07:11,680 --> 00:07:14,480 Speaker 1: there's a video that went viral of a woman pulling 133 00:07:14,520 --> 00:07:17,360 Speaker 1: down her pants and like rubbing her butt on a tesla. 134 00:07:17,640 --> 00:07:20,960 Speaker 1: But then there's actually scary stuff like the fire bombing. 135 00:07:21,000 --> 00:07:22,720 Speaker 1: And I don't know if you saw this video that 136 00:07:22,720 --> 00:07:25,120 Speaker 1: has started to go viral. I saw our friend Bill 137 00:07:25,200 --> 00:07:28,360 Speaker 1: Malujin shared it this morning of a guy with a 138 00:07:28,400 --> 00:07:31,520 Speaker 1: mask on who forces a woman off the side of 139 00:07:31,560 --> 00:07:35,280 Speaker 1: the road, gets out and tells her that she supports 140 00:07:35,360 --> 00:07:38,640 Speaker 1: Hitler because she's driving a Tesla, and demands that she 141 00:07:38,800 --> 00:07:41,800 Speaker 1: immediately sell it. This is strange stuff. 142 00:07:41,880 --> 00:07:44,440 Speaker 2: You know this if you think about what they had 143 00:07:44,440 --> 00:07:48,120 Speaker 2: done with Trump, which was the creation of the ultimate 144 00:07:48,560 --> 00:07:52,520 Speaker 2: political boogeyman. There are a lot of people who now 145 00:07:52,560 --> 00:07:55,200 Speaker 2: that they do this, let's say, you know, they'll talk 146 00:07:55,200 --> 00:07:58,160 Speaker 2: about like stochastic terrorism, right, which is if you just 147 00:07:58,240 --> 00:08:02,080 Speaker 2: put the message out enough randomly, someone somewhere will act 148 00:08:02,160 --> 00:08:04,400 Speaker 2: on it. This is a very This is a Democrat 149 00:08:04,480 --> 00:08:07,400 Speaker 2: concept for whenever they want to blame terrorism on Republicans, 150 00:08:07,240 --> 00:08:12,680 Speaker 2: it's stochastic terrorism, right, And that's that's a concept that 151 00:08:12,680 --> 00:08:15,120 Speaker 2: they've come up with. It's actually from mathematics. It's essentially, 152 00:08:15,160 --> 00:08:18,200 Speaker 2: if you try something enough the variability of a vast 153 00:08:18,360 --> 00:08:22,280 Speaker 2: with a vast number set, someone's going to do something crazy. 154 00:08:23,240 --> 00:08:26,800 Speaker 2: But what you see with Elon, I think is they 155 00:08:26,800 --> 00:08:31,240 Speaker 2: have had to transfer that rage mechanism that they have 156 00:08:31,960 --> 00:08:34,600 Speaker 2: built up against Trump. Well, what really is the you know, 157 00:08:34,679 --> 00:08:37,320 Speaker 2: Trump's only he's doing it. He's president. He's not running 158 00:08:37,320 --> 00:08:40,040 Speaker 2: again like they you know, they tried to kill him twice. 159 00:08:40,200 --> 00:08:43,160 Speaker 2: Like it's just he's not going anywhere. He won, and 160 00:08:43,200 --> 00:08:44,719 Speaker 2: they have to deal with it now, like they've had 161 00:08:44,720 --> 00:08:47,280 Speaker 2: to accept at some level that he is president and 162 00:08:47,320 --> 00:08:49,840 Speaker 2: this is the next four years. But I think that 163 00:08:49,960 --> 00:08:53,360 Speaker 2: the emotional need they have the same way those little 164 00:08:53,360 --> 00:08:57,200 Speaker 2: maniacs who say they're antifa meaning anti fascist, and they 165 00:08:57,280 --> 00:08:59,440 Speaker 2: run around all dressed in black. You remember this, I 166 00:08:59,440 --> 00:09:02,640 Speaker 2: mean they up at different protests, but it's really all 167 00:09:02,760 --> 00:09:05,720 Speaker 2: just one big act of self congratulation and narcissism for 168 00:09:05,800 --> 00:09:09,400 Speaker 2: total losers, the total losers of the left, and there's 169 00:09:09,440 --> 00:09:12,440 Speaker 2: lots of them. There's millions of them. Maybe it's only 170 00:09:12,440 --> 00:09:14,680 Speaker 2: five or ten percent of the Democrat Party, but Clay, 171 00:09:14,720 --> 00:09:17,719 Speaker 2: they need somebody to hate and blame for all their 172 00:09:17,760 --> 00:09:20,560 Speaker 2: problems because for a decade they've been trained to do 173 00:09:20,600 --> 00:09:22,800 Speaker 2: that with Donald Trump, and it just doesn't hit the 174 00:09:22,800 --> 00:09:23,760 Speaker 2: same way anymore. 175 00:09:24,120 --> 00:09:26,600 Speaker 1: Not only that, I think there's an element of they 176 00:09:26,600 --> 00:09:30,480 Speaker 1: feel like they were betrayed because Elon Musk was their 177 00:09:30,559 --> 00:09:33,040 Speaker 1: hero in creating an electric vehicle. 178 00:09:33,080 --> 00:09:34,679 Speaker 2: Oh yeah, and now. 179 00:09:34,440 --> 00:09:37,760 Speaker 1: It's like the bitter ex girlfriend where you start behaving 180 00:09:37,800 --> 00:09:40,720 Speaker 1: in a fundamentally irrational way. Could be the bitter ex 181 00:09:40,800 --> 00:09:44,800 Speaker 1: boyfriend for people out there where. It's not only that 182 00:09:44,920 --> 00:09:48,240 Speaker 1: Elon is now allied in some way with Trump, it's 183 00:09:48,360 --> 00:09:53,160 Speaker 1: that they thought he was their great savior of climate change. 184 00:09:53,160 --> 00:09:55,480 Speaker 1: To me, the funniest and most ridiculous aspect of all 185 00:09:55,559 --> 00:09:59,280 Speaker 1: this buck is when you're lighting Tesla's on fire, you're 186 00:09:59,320 --> 00:10:02,920 Speaker 1: actually just destroying the person who has done the most, 187 00:10:03,120 --> 00:10:06,920 Speaker 1: probably to fight climate change, maybe in the entirety of 188 00:10:06,960 --> 00:10:07,440 Speaker 1: the world. 189 00:10:07,840 --> 00:10:10,319 Speaker 2: And these people in particular, who are the ones lighting 190 00:10:10,320 --> 00:10:14,400 Speaker 2: the teslas on fire. I can assure you the overlap 191 00:10:14,679 --> 00:10:17,760 Speaker 2: with people that are full of rage at Elon, but 192 00:10:17,960 --> 00:10:21,480 Speaker 2: also believe the propaganda about climate as an existential threat. 193 00:10:22,160 --> 00:10:24,880 Speaker 2: It's probably close to one hundred percent. Okay, if you're 194 00:10:24,920 --> 00:10:28,400 Speaker 2: that upset about Elon, you also believe climate change is 195 00:10:28,400 --> 00:10:32,480 Speaker 2: an existential threat, which means that your willingness or your 196 00:10:32,880 --> 00:10:36,560 Speaker 2: need to act out your childish rage against Elon and 197 00:10:36,600 --> 00:10:40,160 Speaker 2: the Trump industrial complex is more important to you as 198 00:10:40,160 --> 00:10:43,559 Speaker 2: a leftist maniac than saving the planet from the climate 199 00:10:43,640 --> 00:10:45,520 Speaker 2: change threat that you believe is going to make us 200 00:10:45,520 --> 00:10:48,559 Speaker 2: all go extinct. Gives you a sense of how deranged 201 00:10:48,600 --> 00:10:51,400 Speaker 2: these people are. But the Democrats created a cult, and 202 00:10:51,480 --> 00:10:54,480 Speaker 2: the problem is you can't always control the cult members. 203 00:10:54,480 --> 00:10:56,760 Speaker 2: Like when you tell the cult members that the world 204 00:10:56,840 --> 00:10:58,880 Speaker 2: is going to end and you get to the one 205 00:10:58,920 --> 00:11:00,760 Speaker 2: hundredth time you've told them that, yeah, a lot of 206 00:11:00,800 --> 00:11:03,320 Speaker 2: people are going to realize, Okay, that was insane. But 207 00:11:03,440 --> 00:11:04,720 Speaker 2: some of them are like, no, it's on the one 208 00:11:04,760 --> 00:11:07,720 Speaker 2: hundred and first day, and that's who we're lighting Tesla's 209 00:11:07,760 --> 00:11:10,200 Speaker 2: on fire. They are not giving this battle up at all. 210 00:11:10,480 --> 00:11:13,360 Speaker 2: They are still insane and they are deeply enmeshed in 211 00:11:13,440 --> 00:11:18,280 Speaker 2: the Really the MSNBC New York Times DEI Woke cult, 212 00:11:18,360 --> 00:11:20,000 Speaker 2: I mean, it's we should come up with a more 213 00:11:20,040 --> 00:11:22,240 Speaker 2: specific name for it, but that's what it is. The 214 00:11:22,800 --> 00:11:30,200 Speaker 2: Fauci worshiping, Zelensky loving maniacs have all come together. I think, 215 00:11:30,280 --> 00:11:33,720 Speaker 2: deep down, Buck, they're actually starting to realize they're the 216 00:11:33,760 --> 00:11:36,360 Speaker 2: bad guys. And I think I've been I've been thinking 217 00:11:36,360 --> 00:11:38,120 Speaker 2: of saying this for a while. I told I told, 218 00:11:38,160 --> 00:11:40,440 Speaker 2: I think that they're worried, Oh my god, what if 219 00:11:40,480 --> 00:11:42,760 Speaker 2: we're wrong about everything. I think that that does occur 220 00:11:42,840 --> 00:11:43,400 Speaker 2: to some of them. 221 00:11:43,600 --> 00:11:46,440 Speaker 1: And I think that's why you're seeing them act out 222 00:11:46,520 --> 00:11:50,760 Speaker 1: so vociferously and violently. It's because in the back of 223 00:11:50,800 --> 00:11:53,559 Speaker 1: their mind, they're like, wait a minute, we've been arguing 224 00:11:53,640 --> 00:11:56,880 Speaker 1: we're the good guys, and we're on the right side 225 00:11:56,880 --> 00:12:01,280 Speaker 1: of history and Trump's win of the popular vote. And 226 00:12:01,400 --> 00:12:03,199 Speaker 1: even if you look at this is the thing that's 227 00:12:03,240 --> 00:12:07,280 Speaker 1: crazy to me, Even if you look at what they're doing. Fuck, 228 00:12:07,559 --> 00:12:11,439 Speaker 1: Elon is trying to save taxpayers money and they're lighting 229 00:12:11,480 --> 00:12:13,079 Speaker 1: tesselas on fire for it. 230 00:12:13,400 --> 00:12:15,240 Speaker 2: I mean, this is what it's. It would be different 231 00:12:15,320 --> 00:12:18,080 Speaker 2: if Elon, if Elon were like the wars are for 232 00:12:18,200 --> 00:12:21,880 Speaker 2: bombing Gaza, Yes, I would understand, you know, if Elon 233 00:12:22,000 --> 00:12:24,440 Speaker 2: was giving press conversations, He's like, well, a technology is 234 00:12:24,440 --> 00:12:26,520 Speaker 2: so much better at bombing gaza. You know, if he 235 00:12:26,640 --> 00:12:29,560 Speaker 2: was doing like the good Elon impersonation, thank you, thank you. 236 00:12:29,640 --> 00:12:31,720 Speaker 2: I'm working on it. But you know, if he was 237 00:12:31,760 --> 00:12:35,640 Speaker 2: actually doing that, I would understand a little more. He's like, hey, guys, 238 00:12:36,520 --> 00:12:40,120 Speaker 2: your taxpayer dollars are being lit on fire, and the 239 00:12:40,200 --> 00:12:43,480 Speaker 2: money that's being spent by the government is debasing all 240 00:12:43,520 --> 00:12:45,400 Speaker 2: of the money that you are earning and all the 241 00:12:45,440 --> 00:12:48,360 Speaker 2: money that you are saving. I'm trying to stop this 242 00:12:48,840 --> 00:12:51,560 Speaker 2: from straight up destroying the economy so that we have 243 00:12:51,640 --> 00:12:54,640 Speaker 2: to have a reset, the likes of which nobody wants 244 00:12:54,679 --> 00:12:57,880 Speaker 2: to see. And people are like, light his cars on fire. 245 00:12:58,160 --> 00:13:01,560 Speaker 1: They're trying to treat him like he's a villain, and 246 00:13:01,679 --> 00:13:04,400 Speaker 1: all he's doing is trying to make the government spend 247 00:13:04,440 --> 00:13:08,200 Speaker 1: money more efficiently. It's one of the craziest bad guy 248 00:13:08,480 --> 00:13:11,000 Speaker 1: descriptions that I've ever heard of. 249 00:13:11,600 --> 00:13:14,000 Speaker 2: And there's also a there's a I don't know if 250 00:13:14,000 --> 00:13:17,079 Speaker 2: you'd say it's full circle, if it's poetic justice, it's 251 00:13:18,120 --> 00:13:21,959 Speaker 2: they They called for this fight. They made Elon, They 252 00:13:21,960 --> 00:13:24,800 Speaker 2: made Elon who he is. They created him, Yes, they 253 00:13:24,840 --> 00:13:27,760 Speaker 2: created him because of a lot of things, a lot 254 00:13:27,800 --> 00:13:30,360 Speaker 2: of the madness, a lot of what they've been pushing for, 255 00:13:30,520 --> 00:13:33,079 Speaker 2: certainly the Trump era, which is really its own period 256 00:13:33,120 --> 00:13:35,199 Speaker 2: of American politics now right. I mean, it's just different 257 00:13:35,200 --> 00:13:38,280 Speaker 2: than everything else we've seen. But Clay, they transed one 258 00:13:38,320 --> 00:13:42,319 Speaker 2: of his kids, and he has said this, I am 259 00:13:42,360 --> 00:13:46,240 Speaker 2: not surmising this. They trans one of his young children, 260 00:13:46,400 --> 00:13:48,800 Speaker 2: not even like a you know, seventeen eighteen year old 261 00:13:48,880 --> 00:13:51,720 Speaker 2: or whatever, and he said it means war and he 262 00:13:51,840 --> 00:13:53,840 Speaker 2: was serious. And that's where we are. 263 00:13:54,280 --> 00:13:56,520 Speaker 1: That's one. And they tried to shut down his factories 264 00:13:56,600 --> 00:13:59,480 Speaker 1: during COVID. And I do think that the combination of 265 00:13:59,520 --> 00:14:06,040 Speaker 1: those two who has created a true fixation on destroying 266 00:14:06,040 --> 00:14:09,559 Speaker 1: the woke virus in all of its essence. And we 267 00:14:09,600 --> 00:14:11,320 Speaker 1: need to talk more about this because I'm just I'm 268 00:14:11,400 --> 00:14:13,680 Speaker 1: kind of blown away. It's rare that I'm surprised. I 269 00:14:13,720 --> 00:14:15,440 Speaker 1: didn't think we would get to the point where the 270 00:14:15,480 --> 00:14:18,000 Speaker 1: fire bombings of car dealerships will be taking place. 271 00:14:19,120 --> 00:14:21,320 Speaker 2: All right, Let's talk about Rapid Radio's walkie talkies for 272 00:14:21,320 --> 00:14:23,400 Speaker 2: a second, because this may be the most practical and 273 00:14:23,440 --> 00:14:26,800 Speaker 2: innovative electronic product released in the last year. These modern 274 00:14:26,840 --> 00:14:30,000 Speaker 2: day walkie talkies let you connect with people nationwide using 275 00:14:30,040 --> 00:14:33,040 Speaker 2: the LTE network. Rapid radios fit into the palm of 276 00:14:33,040 --> 00:14:34,800 Speaker 2: your hand and work with the touch of a button. 277 00:14:34,880 --> 00:14:38,080 Speaker 2: Super convenient, lightweight, and they're great for aging parents who 278 00:14:38,160 --> 00:14:40,000 Speaker 2: just don't want to deal with a cell phone or 279 00:14:40,160 --> 00:14:41,920 Speaker 2: kids that you'd rather keep off the Internet but have 280 00:14:42,040 --> 00:14:44,560 Speaker 2: one touch contact with whenever you need it. They work 281 00:14:44,640 --> 00:14:46,480 Speaker 2: right out of the box. Clay has them. I have them, 282 00:14:46,480 --> 00:14:49,520 Speaker 2: and as you know, they're great for preparedness. My in 283 00:14:49,600 --> 00:14:51,840 Speaker 2: laws had them up in North Carolina. A lot of 284 00:14:51,880 --> 00:14:54,960 Speaker 2: problems with communications except on the rapid radio. I was 285 00:14:55,000 --> 00:14:57,280 Speaker 2: talking to them the next day making sure they were okay. 286 00:14:57,320 --> 00:14:59,240 Speaker 2: After the trees had fallen on their house and there 287 00:14:59,280 --> 00:15:02,160 Speaker 2: was real mayhem up there, Rapid radios came through. You 288 00:15:02,160 --> 00:15:04,520 Speaker 2: want to have rapid radios as part of your preparation 289 00:15:05,160 --> 00:15:08,040 Speaker 2: for your family and your home. Go to rapid radios 290 00:15:08,080 --> 00:15:10,400 Speaker 2: dot com. You'll get up to sixty percent off free 291 00:15:10,480 --> 00:15:14,120 Speaker 2: ups shipping from Michigan, plus a free protection bag. Add 292 00:15:14,160 --> 00:15:16,800 Speaker 2: code radio and get an extra five percent off. That 293 00:15:16,880 --> 00:15:20,000 Speaker 2: website again is rapid radios dot com. You'll get up 294 00:15:20,000 --> 00:15:22,840 Speaker 2: to sixty percent off that free ups shipping from Michigan 295 00:15:23,160 --> 00:15:26,320 Speaker 2: plus a free protection bag and when you add Code 296 00:15:26,400 --> 00:15:28,760 Speaker 2: Radio you will get an extra five percent off. 297 00:15:29,720 --> 00:15:33,360 Speaker 1: Welcome back in Clay Travis buck Sexton show. We talked 298 00:15:33,360 --> 00:15:35,840 Speaker 1: about the attacks on Elon and we're going to continue 299 00:15:35,840 --> 00:15:40,080 Speaker 1: to play some of those for you because they are outrageous, outlandish, 300 00:15:40,080 --> 00:15:43,560 Speaker 1: and indefensible. But Buck, you hit on something that I 301 00:15:43,560 --> 00:15:47,240 Speaker 1: think is really important, which is not only are those 302 00:15:47,280 --> 00:15:54,560 Speaker 1: attacks actually without any merit whatsoever, they also are generally 303 00:15:54,640 --> 00:15:58,440 Speaker 1: coming from people who are morons and lack all historic 304 00:15:58,560 --> 00:16:01,560 Speaker 1: knowledge and do not have the ability to make very 305 00:16:01,600 --> 00:16:07,280 Speaker 1: cogent or tangible arguments among those Joy Reid, who went on, 306 00:16:07,840 --> 00:16:12,000 Speaker 1: I think this was with Don Lemon. Remember when the 307 00:16:12,080 --> 00:16:15,760 Speaker 1: comment about how brilliant Thomas Jefferson was when he dined 308 00:16:15,800 --> 00:16:19,920 Speaker 1: alone one of the great all time quotes. I would 309 00:16:19,960 --> 00:16:22,840 Speaker 1: submit to you that Joy Reid and Don Lemon is 310 00:16:23,200 --> 00:16:27,240 Speaker 1: maybe the dumbest combination of interviewer and interviewe that you 311 00:16:27,280 --> 00:16:30,720 Speaker 1: could have in the political realm. And Joy Reid said, 312 00:16:30,920 --> 00:16:32,800 Speaker 1: I think America is going to go to war with 313 00:16:32,880 --> 00:16:36,840 Speaker 1: Canada and Canada is going to win. This is real. 314 00:16:37,040 --> 00:16:37,360 Speaker 2: Listen. 315 00:16:37,760 --> 00:16:40,840 Speaker 3: You can't make Canada the fifty first state without going 316 00:16:40,840 --> 00:16:44,200 Speaker 3: to war with them, and let me explain how that happened. 317 00:16:44,200 --> 00:16:46,200 Speaker 3: How that worked out. The last time we tried to 318 00:16:46,200 --> 00:16:48,080 Speaker 3: go to war with Canada, they. 319 00:16:48,040 --> 00:16:52,240 Speaker 5: Burned the White House to the ground in eighteen fourteen and. 320 00:16:52,280 --> 00:16:53,120 Speaker 2: Won the war. 321 00:16:54,160 --> 00:16:55,280 Speaker 3: Canada beat us. 322 00:16:55,200 --> 00:16:56,960 Speaker 5: In the War of eighteen twelve. 323 00:16:58,200 --> 00:17:00,680 Speaker 3: They probably liked their chances against us. 324 00:17:02,080 --> 00:17:04,240 Speaker 5: We're not gonna beat them in a war because we 325 00:17:04,400 --> 00:17:07,399 Speaker 5: have never been able to do that. You'd have to 326 00:17:07,560 --> 00:17:12,280 Speaker 5: occupy a country that is equivalent of the size of 327 00:17:12,400 --> 00:17:16,119 Speaker 5: the United States, in which the top two thirds of 328 00:17:16,160 --> 00:17:22,439 Speaker 5: it is uninhabited, frozen forest land that touches the Arctic. 329 00:17:23,160 --> 00:17:27,280 Speaker 5: You know how that worked out when the Nazis tried 330 00:17:27,320 --> 00:17:31,080 Speaker 5: that with Russia, which is the equivalent of Canada. 331 00:17:30,960 --> 00:17:32,760 Speaker 2: On that part of the world. 332 00:17:33,640 --> 00:17:37,680 Speaker 5: We don't lose. We don't have enough troops to occupy. 333 00:17:37,720 --> 00:17:41,960 Speaker 5: They are a country of thirty nine million people who 334 00:17:42,040 --> 00:17:46,320 Speaker 5: are who have about as many guns per capita as 335 00:17:46,359 --> 00:17:46,800 Speaker 5: we do. 336 00:17:47,960 --> 00:17:51,000 Speaker 2: It's not possible to be this stupid. She must be kidding, right, 337 00:17:51,240 --> 00:17:53,840 Speaker 2: It's not possible that she's this dumb. Actually, I think 338 00:17:54,000 --> 00:17:56,600 Speaker 2: I actually be this dumb. I think it's actually that dumb. 339 00:17:57,840 --> 00:18:01,879 Speaker 2: I think he's actually got dumb. The fact that she 340 00:18:01,960 --> 00:18:04,439 Speaker 2: was paid millions of dollars to explain the world the 341 00:18:04,440 --> 00:18:07,880 Speaker 2: people on television at MSNBC tells you all you need 342 00:18:07,880 --> 00:18:09,560 Speaker 2: to know about the state of left wing media. That 343 00:18:09,640 --> 00:18:12,920 Speaker 2: was the dumbest rant I maybe have ever heard. It's 344 00:18:12,960 --> 00:18:15,680 Speaker 2: actually like the Mona Lisa of Dumbag. We should go 345 00:18:15,800 --> 00:18:18,479 Speaker 2: hang up in a museum and people should study it 346 00:18:18,520 --> 00:18:22,480 Speaker 2: for centuries to come. It is that dumb. So several 347 00:18:22,560 --> 00:18:23,840 Speaker 2: things that stand out here. 348 00:18:24,160 --> 00:18:27,720 Speaker 1: First of all, she manages to have some historical knowledge 349 00:18:27,880 --> 00:18:30,840 Speaker 1: and misapply it all the time. The War of eighteen 350 00:18:30,920 --> 00:18:35,159 Speaker 1: twelve wasn't with Canada, it was with England. Let's start there, 351 00:18:35,440 --> 00:18:39,760 Speaker 1: which owned Canada at the time, and so was at 352 00:18:39,800 --> 00:18:44,560 Speaker 1: the time probably the most powerful country in the world, 353 00:18:45,040 --> 00:18:47,880 Speaker 1: because America was still in its infancy, and even though 354 00:18:47,880 --> 00:18:51,119 Speaker 1: we had won the Revolutionary War, we had not really 355 00:18:51,240 --> 00:18:54,199 Speaker 1: established ourselves as the pre eminent power in the world. 356 00:18:54,240 --> 00:18:55,560 Speaker 2: Point one. Point two. 357 00:18:55,720 --> 00:18:59,399 Speaker 1: She tries to make a historical analogy about the difficulty 358 00:18:59,440 --> 00:19:02,600 Speaker 1: of conquering a country in a time of when the 359 00:19:02,640 --> 00:19:06,240 Speaker 1: weather when it's super cold, and she uses World War 360 00:19:06,280 --> 00:19:09,280 Speaker 1: two as an example. I think, although you could also 361 00:19:09,359 --> 00:19:13,840 Speaker 1: point to Napoleon. But the problem is those were occupied lands. 362 00:19:14,440 --> 00:19:18,240 Speaker 1: Her argument doesn't make any sense because she rightly says Canada. 363 00:19:18,280 --> 00:19:22,479 Speaker 1: Almost everyone in Canada lives close to the United States border. 364 00:19:23,000 --> 00:19:26,200 Speaker 1: You wouldn't actually have to commit much men or materiel 365 00:19:26,720 --> 00:19:30,440 Speaker 1: to conquer the two thirds of Canada where no one lives. 366 00:19:30,320 --> 00:19:32,600 Speaker 2: Right Like, that's actually a really easy job. 367 00:19:33,040 --> 00:19:36,280 Speaker 1: Third, she manages to treat the fact that they have 368 00:19:36,359 --> 00:19:40,639 Speaker 1: more guns at thirty nine million people without recognizing that 369 00:19:40,680 --> 00:19:43,160 Speaker 1: they have one tenth of the population of the United 370 00:19:43,200 --> 00:19:48,000 Speaker 1: States and hence a fraction of the overall firepower, all 371 00:19:48,080 --> 00:19:51,160 Speaker 1: while trying to treat the idea of an American invasion 372 00:19:51,160 --> 00:19:55,040 Speaker 1: of Canada as a likely proposition. She manages to string 373 00:19:55,119 --> 00:19:59,880 Speaker 1: together buck so much historical inaccuracy while having a sent 374 00:20:00,119 --> 00:20:03,959 Speaker 1: hilla of knowledge such that she's actually dumber than if 375 00:20:04,000 --> 00:20:06,399 Speaker 1: she knew nothing at all, Which is really kind of 376 00:20:06,440 --> 00:20:08,800 Speaker 1: an interesting take, isn't it right? Like she would actually 377 00:20:08,840 --> 00:20:12,440 Speaker 1: be better if she had no historic knowledge whatsoever, because 378 00:20:12,440 --> 00:20:15,680 Speaker 1: she has so misapplied the historical analogies that she's trying 379 00:20:15,720 --> 00:20:18,879 Speaker 1: to apply that they actually render her argument worse than 380 00:20:18,880 --> 00:20:20,720 Speaker 1: if she didn't have the knowledge in the first place. 381 00:20:20,960 --> 00:20:23,280 Speaker 2: I do worry that we are all and all of 382 00:20:23,280 --> 00:20:25,879 Speaker 2: you listening are a little dumber just for having listened 383 00:20:25,960 --> 00:20:30,440 Speaker 2: to How dumb that was. I just this is where 384 00:20:30,480 --> 00:20:33,080 Speaker 2: they are, though, Buck, they paid her time host MSNBC 385 00:20:33,240 --> 00:20:36,119 Speaker 2: until a few minutes ago, primetime host. Everybody millions of 386 00:20:36,119 --> 00:20:40,200 Speaker 2: dollars gotta listen to her. Rachel Maddow said, her favorite colleague. 387 00:20:40,320 --> 00:20:43,040 Speaker 2: Oh yeah, Buck, this is also important. I think for 388 00:20:43,040 --> 00:20:45,960 Speaker 2: everybody out there listening. You and I. 389 00:20:45,960 --> 00:20:49,920 Speaker 1: If people heard our off air conversation, would we would 390 00:20:50,000 --> 00:20:51,320 Speaker 1: sound almost identical. 391 00:20:51,400 --> 00:20:53,679 Speaker 2: Maybe there's a new curse word pepper day. It is 392 00:20:53,680 --> 00:20:56,119 Speaker 2: the same. It just has occasional curses unless there are 393 00:20:56,160 --> 00:20:58,000 Speaker 2: children with an earshot. Yes, correct. 394 00:20:58,359 --> 00:21:01,120 Speaker 1: And I don't think anybody would say, like, you've got 395 00:21:01,160 --> 00:21:05,080 Speaker 1: to hear the outrageous opinion that Clay has or Buck 396 00:21:05,119 --> 00:21:08,960 Speaker 1: has that he's actually afraid to say, they don't exist, right. 397 00:21:09,040 --> 00:21:12,840 Speaker 1: The the calls that we would have with producers, the 398 00:21:12,880 --> 00:21:17,080 Speaker 1: meetings that we would have with advertisers are off air conversations, 399 00:21:17,119 --> 00:21:20,359 Speaker 1: by and large. If they all went public, people would say, yeah, 400 00:21:20,400 --> 00:21:22,159 Speaker 1: that's kind of what I expect because I listened to 401 00:21:22,200 --> 00:21:23,560 Speaker 1: him for three hours every day. 402 00:21:23,920 --> 00:21:27,320 Speaker 2: Imagine the idiocy. 403 00:21:26,080 --> 00:21:29,840 Speaker 1: That they protected Joy Read from actually putting on the air. 404 00:21:30,040 --> 00:21:32,080 Speaker 2: This is to be fair. To be fair, I mean 405 00:21:32,119 --> 00:21:34,159 Speaker 2: your your point is well taken. But one of the 406 00:21:34,160 --> 00:21:38,400 Speaker 2: differences between TV and radio. You can hide with TV, 407 00:21:38,720 --> 00:21:39,240 Speaker 2: you really can. 408 00:21:39,359 --> 00:21:42,400 Speaker 1: You You can hide super dumb people and protect them 409 00:21:42,440 --> 00:21:43,840 Speaker 1: from themselves. 410 00:21:43,520 --> 00:21:47,720 Speaker 2: Because it's all stage managed. It's it's it's very much 411 00:21:47,880 --> 00:21:51,440 Speaker 2: a you know, it's a it's a pro base, it's 412 00:21:51,480 --> 00:21:51,879 Speaker 2: a play. 413 00:21:51,920 --> 00:21:54,360 Speaker 1: You put on makeup and you look into it. I mean, 414 00:21:54,400 --> 00:21:56,240 Speaker 1: it is very different than radio. 415 00:21:56,600 --> 00:21:58,959 Speaker 2: You cannot hide for three hours a day on radio, 416 00:21:59,080 --> 00:22:01,280 Speaker 2: year in and year out. People know who you are. 417 00:22:01,320 --> 00:22:03,360 Speaker 2: This is one of the reasons why the familiarity that 418 00:22:03,840 --> 00:22:06,800 Speaker 2: people who listen to our wonderful audience when they come 419 00:22:06,880 --> 00:22:08,880 Speaker 2: up and talk to us. Yeah, they know the name 420 00:22:08,920 --> 00:22:10,800 Speaker 2: of they know my wife's name, they know my dog's name, 421 00:22:10,840 --> 00:22:13,159 Speaker 2: they know where I grew up, they know what movies 422 00:22:13,160 --> 00:22:15,840 Speaker 2: are like. I mean, they know more than like anybody 423 00:22:15,920 --> 00:22:18,000 Speaker 2: I ever went on a first date with. By times, 424 00:22:18,040 --> 00:22:19,640 Speaker 2: you know, one hundred, you know what I mean, it's yeah, 425 00:22:19,640 --> 00:22:20,040 Speaker 2: pretty full. 426 00:22:20,080 --> 00:22:22,840 Speaker 1: They spend it fifteen hours a week with everybody out there, 427 00:22:22,920 --> 00:22:27,520 Speaker 1: and so you can't fake or hide. I think when 428 00:22:27,560 --> 00:22:30,040 Speaker 1: you hear some of these people like Don Lemon is 429 00:22:30,040 --> 00:22:31,879 Speaker 1: a great example. I think you would hear it with 430 00:22:32,000 --> 00:22:35,320 Speaker 1: Jake Tapper. I think you would hear it with Anderson Cooper. 431 00:22:35,400 --> 00:22:37,000 Speaker 1: I think there are a lot of people that are 432 00:22:37,040 --> 00:22:39,520 Speaker 1: not necessarily that good at what they do. 433 00:22:39,800 --> 00:22:39,960 Speaker 2: Now. 434 00:22:40,000 --> 00:22:42,639 Speaker 1: I think Rachel Maddow is actually smart, She's just a 435 00:22:42,720 --> 00:22:45,679 Speaker 1: really kind of committed liar, which you can argue is 436 00:22:45,720 --> 00:22:49,520 Speaker 1: even scarier. But when they lack the protection of a staff, 437 00:22:49,880 --> 00:22:53,359 Speaker 1: and when they lack the protection of a surrounding community 438 00:22:53,400 --> 00:22:56,320 Speaker 1: to kind of protect them from themselves, many of these 439 00:22:56,359 --> 00:22:59,359 Speaker 1: TV people expose themselves and frankly buck a lot of 440 00:22:59,400 --> 00:23:03,240 Speaker 1: journalists on social media right when they lack editors, when 441 00:23:03,240 --> 00:23:08,639 Speaker 1: they're outside the framework of their job. Social media just 442 00:23:08,720 --> 00:23:11,639 Speaker 1: shines a light on who you really are, and that 443 00:23:11,680 --> 00:23:14,399 Speaker 1: could be good or bad. But for many people, I 444 00:23:14,440 --> 00:23:19,800 Speaker 1: think in the realm of current events, politics, media, news, television, sports, 445 00:23:20,080 --> 00:23:23,719 Speaker 1: who are in the opinion business, you're actually recognizing they 446 00:23:23,720 --> 00:23:25,920 Speaker 1: don't do a lot of homework and they're not actually 447 00:23:25,960 --> 00:23:29,000 Speaker 1: that smart outside of the parameters of the show that 448 00:23:29,040 --> 00:23:31,679 Speaker 1: they have. And I think this is what happens with 449 00:23:31,760 --> 00:23:34,520 Speaker 1: Joy Reid. I also think it's why audiences don't connect 450 00:23:34,600 --> 00:23:37,920 Speaker 1: with them outside of television because to your point, Buck, 451 00:23:37,960 --> 00:23:40,640 Speaker 1: they're not honest and they're not that authentic, and that 452 00:23:40,720 --> 00:23:41,800 Speaker 1: also gets exposed. 453 00:23:42,680 --> 00:23:46,040 Speaker 2: Yeah, I hadn't heard that sound bite until we played 454 00:23:46,040 --> 00:23:47,920 Speaker 2: it live on the radio. So you pull that one 455 00:23:47,960 --> 00:23:52,200 Speaker 2: off the sheet, and I'm actually in shock. That was amazing. 456 00:23:52,240 --> 00:23:55,359 Speaker 2: I sent it into It was the craziest most like 457 00:23:55,640 --> 00:23:59,000 Speaker 2: over confident but ignorant historical rent I've ever heard. It 458 00:23:59,080 --> 00:24:00,879 Speaker 2: was amazing, That's what I'm saying. 459 00:24:01,280 --> 00:24:04,960 Speaker 1: The little bit of historical knowledge that she had actually 460 00:24:05,040 --> 00:24:09,160 Speaker 1: managed to completely invalidate her argument, such that she would 461 00:24:09,160 --> 00:24:11,720 Speaker 1: have been far better off to have known nothing about 462 00:24:11,760 --> 00:24:13,480 Speaker 1: the history that she was trying to cite. 463 00:24:13,520 --> 00:24:16,080 Speaker 2: She misapplied all of it. And they but the initial 464 00:24:16,119 --> 00:24:20,160 Speaker 2: premise too. We're obviously not going to war with correct correct, 465 00:24:20,240 --> 00:24:23,320 Speaker 2: so dumb to even to even entertain this. No one 466 00:24:23,359 --> 00:24:26,880 Speaker 2: in the US military would would would follow an order 467 00:24:26,920 --> 00:24:30,000 Speaker 2: to start bombing Ottawa. Okay, we love it. Made you 468 00:24:30,000 --> 00:24:33,439 Speaker 2: think we're gonna take windsor from Detroit. It's not gonna happen, 469 00:24:33,640 --> 00:24:35,639 Speaker 2: you know, I know that people think all but they'll do, 470 00:24:35,720 --> 00:24:38,000 Speaker 2: you know, everything Trump says, it will just happen. No, 471 00:24:38,200 --> 00:24:40,080 Speaker 2: and Trump's not gonna say it. And you know. 472 00:24:40,560 --> 00:24:42,960 Speaker 1: The whole thing is, we know Pete except pretty well, 473 00:24:42,960 --> 00:24:44,359 Speaker 1: we know Sean Parnell pretty well. 474 00:24:44,440 --> 00:24:48,520 Speaker 2: They're not invading Canada. Yeah, I'm sorry. Pete is not 475 00:24:48,680 --> 00:24:52,280 Speaker 2: pouring over plans to drop nukes on Saskatchewan right now. 476 00:24:52,359 --> 00:24:55,119 Speaker 2: I promise you we know Pete very well for a 477 00:24:55,160 --> 00:24:56,600 Speaker 2: long time. That is not happening. 478 00:24:56,800 --> 00:24:59,399 Speaker 1: I also think you've talked about this before, not taking 479 00:24:59,400 --> 00:25:03,359 Speaker 1: trumpet Really, he finds something that he thinks is fun funny, 480 00:25:04,600 --> 00:25:08,600 Speaker 1: justin Trudeau as the governor of Canada, and he exploits 481 00:25:08,640 --> 00:25:12,119 Speaker 1: it and manipulates the media to cover it such that 482 00:25:12,160 --> 00:25:15,879 Speaker 1: it turns into an actual conversation point. And what it 483 00:25:15,920 --> 00:25:20,760 Speaker 1: does is disrupt the overall direction and he ends up 484 00:25:20,800 --> 00:25:24,280 Speaker 1: somewhere nowhere near where he's arguing, and it's a win. 485 00:25:24,800 --> 00:25:28,320 Speaker 1: But it's such a clear negotiation tactic. I don't understand how, 486 00:25:28,359 --> 00:25:32,000 Speaker 1: a decade after Trump has been in politics, every single 487 00:25:32,080 --> 00:25:35,280 Speaker 1: thing to a large extent, is still taken so literally 488 00:25:35,440 --> 00:25:37,919 Speaker 1: by so many people who cover politics. 489 00:25:38,240 --> 00:25:40,479 Speaker 2: Well, I think that's why he in party keeps doing it, 490 00:25:40,520 --> 00:25:43,080 Speaker 2: because he enjoys getting a rise out of them, and 491 00:25:43,119 --> 00:25:46,480 Speaker 2: it also off balances them, Like I know this from 492 00:25:46,560 --> 00:25:49,560 Speaker 2: you know, I play a fair amount of like recreational 493 00:25:49,680 --> 00:25:51,480 Speaker 2: you know, country club tennis. I don't belong to a 494 00:25:51,480 --> 00:25:53,119 Speaker 2: country club, but you know that's what people will call it. 495 00:25:53,640 --> 00:25:55,480 Speaker 2: And you know there's like there's like head games you 496 00:25:55,560 --> 00:25:58,560 Speaker 2: can do with people, and some people get really into 497 00:25:58,560 --> 00:26:01,480 Speaker 2: this stuff. You know, you you leave your bag on 498 00:26:01,480 --> 00:26:03,240 Speaker 2: one side of the court so that it's like you've 499 00:26:03,240 --> 00:26:05,560 Speaker 2: already picked your side, even though you know there's like 500 00:26:05,600 --> 00:26:08,359 Speaker 2: little things. Trump loves that stuff. When it comes to 501 00:26:08,400 --> 00:26:12,000 Speaker 2: the media, man, he loves when the second they say 502 00:26:12,119 --> 00:26:14,160 Speaker 2: you can't say it kind of remind me of somebody else, 503 00:26:14,200 --> 00:26:17,919 Speaker 2: I know, the second they say, mister Clay Travis, you 504 00:26:18,000 --> 00:26:20,720 Speaker 2: can't say that, He's like, oh yeah, and he just 505 00:26:20,840 --> 00:26:23,320 Speaker 2: is gonna pound that point day in and day out 506 00:26:23,400 --> 00:26:24,680 Speaker 2: until they beg for mercy. 507 00:26:25,080 --> 00:26:28,000 Speaker 1: Yes, I definitely enjoy doing things that people say I 508 00:26:28,040 --> 00:26:28,359 Speaker 1: can't do. 509 00:26:28,680 --> 00:26:29,520 Speaker 2: I'm not gonna lie. 510 00:26:29,640 --> 00:26:32,520 Speaker 1: And the number one way, the number one way to 511 00:26:32,720 --> 00:26:34,879 Speaker 1: end if you dislike something that I'm doing is not 512 00:26:34,920 --> 00:26:39,280 Speaker 1: to complain about it. Which, yeah, there's probably all sorts 513 00:26:39,320 --> 00:26:42,000 Speaker 1: of things going on there. But we come back, well, 514 00:26:42,200 --> 00:26:45,000 Speaker 1: we got a ton of talkbacks. You guys are phenomenal 515 00:26:45,040 --> 00:26:47,920 Speaker 1: with the talkbacks and our team listens to them all 516 00:26:48,880 --> 00:26:51,320 Speaker 1: so so we appreciate you there, and I want to 517 00:26:51,320 --> 00:26:53,399 Speaker 1: tell you. Since nine to eleven, Tonne of the Towers 518 00:26:53,400 --> 00:26:57,360 Speaker 1: Foundations been supporting America's greatest heroes and their families. Heroes 519 00:26:57,480 --> 00:27:00,879 Speaker 1: like Mark Holbert. He was born into a milli military family, 520 00:27:00,920 --> 00:27:04,479 Speaker 1: and Mark's father served for twenty five years. Grandfather fought 521 00:27:04,480 --> 00:27:07,960 Speaker 1: in World War Two. Mark turned his childhood dream of 522 00:27:08,000 --> 00:27:10,560 Speaker 1: serving into a reality when he enlisted in the United 523 00:27:10,560 --> 00:27:14,600 Speaker 1: States Army. He served multiple tours, including three in Afghanistan. 524 00:27:14,760 --> 00:27:18,080 Speaker 1: On his fourth tour, he stepped on an ied and 525 00:27:18,160 --> 00:27:20,679 Speaker 1: he lost two of his fingers both of his legs. 526 00:27:21,080 --> 00:27:23,479 Speaker 1: The Tunnel of the Towers Foundation provided Mark and his 527 00:27:23,520 --> 00:27:26,320 Speaker 1: family with a mortgage free smart home, which enables Mark 528 00:27:26,640 --> 00:27:30,199 Speaker 1: to live more independently. Mark and so many others have 529 00:27:30,240 --> 00:27:33,480 Speaker 1: paid a high price to protect our country and our communities. 530 00:27:33,800 --> 00:27:35,879 Speaker 1: Friends like you have helped to say thank you to 531 00:27:35,960 --> 00:27:38,520 Speaker 1: Mark and so many others, not just with words, but 532 00:27:38,600 --> 00:27:42,800 Speaker 1: through actions, help even more of America's heroes like Mark. 533 00:27:43,080 --> 00:27:46,359 Speaker 1: By supporting Tunnel the Towers, join us in donating eleven 534 00:27:46,440 --> 00:27:48,640 Speaker 1: dollars a month to Tunnel the Towers at t twot 535 00:27:48,840 --> 00:27:52,480 Speaker 1: dot org. That's t the number two T dot org. 536 00:27:52,560 --> 00:27:55,520 Speaker 2: We've got a lot going on the tour against Elon 537 00:27:55,680 --> 00:28:01,480 Speaker 2: from the a lunatic left continues on You've got AOC 538 00:28:01,920 --> 00:28:03,640 Speaker 2: out there now, and you know, we talked to Ryan 539 00:28:03,680 --> 00:28:05,040 Speaker 2: Gardusky about this yesterday. 540 00:28:05,040 --> 00:28:05,320 Speaker 6: Clay. 541 00:28:05,720 --> 00:28:08,240 Speaker 2: That was my first sense, and I said it on 542 00:28:08,280 --> 00:28:10,200 Speaker 2: the show after the election, that they're going to try 543 00:28:10,240 --> 00:28:14,560 Speaker 2: to build AOC up into a national level democrat figure, 544 00:28:14,800 --> 00:28:19,160 Speaker 2: a leadership figure, just because of her profile. She's got 545 00:28:19,160 --> 00:28:22,439 Speaker 2: the right demographic appeal for them. I mean, there's a 546 00:28:22,440 --> 00:28:25,320 Speaker 2: lot of stuff that comes together for them that would 547 00:28:25,320 --> 00:28:27,080 Speaker 2: make me think that they would do it. The problem 548 00:28:27,160 --> 00:28:30,040 Speaker 2: is she's a socialist. It's not very bright. But you know, 549 00:28:30,160 --> 00:28:33,080 Speaker 2: then again, they made Joe Biden president somehow, so they 550 00:28:33,119 --> 00:28:36,400 Speaker 2: can figure out a lot of things, right. But thing 551 00:28:36,440 --> 00:28:39,840 Speaker 2: you've started to hear more of is they are using 552 00:28:40,000 --> 00:28:45,640 Speaker 2: Elon as a pivot to get into the class warfare thing. 553 00:28:45,720 --> 00:28:49,520 Speaker 2: So it's like, yeah, okay, inflation is bad, the price 554 00:28:49,560 --> 00:28:52,160 Speaker 2: of eggs coming down under Trump, we all know, but 555 00:28:52,800 --> 00:28:56,360 Speaker 2: was too high gas, all these things, But what they 556 00:28:56,400 --> 00:29:01,400 Speaker 2: really care about is the millionaires and billionaires, the old 557 00:29:01,440 --> 00:29:06,960 Speaker 2: Bernie Sanders routine and oligacky. Here's Bernie Sanders with the 558 00:29:07,080 --> 00:29:10,640 Speaker 2: usual stuff, saying that they will not accept oligarchy, played 559 00:29:10,640 --> 00:29:11,280 Speaker 2: twenty one. 560 00:29:12,800 --> 00:29:13,280 Speaker 1: Today. 561 00:29:13,520 --> 00:29:17,920 Speaker 7: We are here to say, very loudly and billy, no, 562 00:29:18,520 --> 00:29:23,760 Speaker 7: we will not accept an oligarchic form of society wear 563 00:29:23,840 --> 00:29:29,800 Speaker 7: a handful of billionaires run the government. No, we will 564 00:29:29,840 --> 00:29:36,320 Speaker 7: not accept an authoritarian form of society with a president 565 00:29:36,440 --> 00:29:42,320 Speaker 7: who undermines the Constitution every day and is working aggressively 566 00:29:42,520 --> 00:29:47,320 Speaker 7: to take away our freedom of speech and freedom of assembly. 567 00:29:48,080 --> 00:29:51,320 Speaker 2: Okay, yeah, whatever, Okay. To the point here though, oligauky, 568 00:29:51,560 --> 00:29:55,360 Speaker 2: he's talking to oligarchy again. And the thing that I 569 00:29:55,360 --> 00:29:58,120 Speaker 2: find so interesting is they're clearly trying to create a 570 00:29:58,200 --> 00:30:01,600 Speaker 2: handoff Bernie Sewell, they tried this with Biden. They know 571 00:30:01,640 --> 00:30:03,400 Speaker 2: that they're not gonna get their hand caught in that 572 00:30:03,480 --> 00:30:06,160 Speaker 2: bear trap again, right ther or mouse trap or whatever. 573 00:30:07,240 --> 00:30:09,320 Speaker 2: Bear trap with a hand would be really tough, but 574 00:30:09,840 --> 00:30:12,040 Speaker 2: they they aren't gonna do that again. I think they 575 00:30:12,080 --> 00:30:14,120 Speaker 2: realize he is too. He's in his eighties already, so 576 00:30:14,160 --> 00:30:16,640 Speaker 2: he's not running for four years eighty three, he's not 577 00:30:16,720 --> 00:30:20,560 Speaker 2: running it almost ninety Okay, fine, AOC though is supposed 578 00:30:20,560 --> 00:30:23,040 Speaker 2: to be the beneficiary. It's like Bernie is the elder 579 00:30:23,120 --> 00:30:28,600 Speaker 2: statesman and the quote intellectual socialist AOC is the next gen. 580 00:30:28,640 --> 00:30:31,680 Speaker 2: They're on this tour. But Batsia Hunger Sargan, who had 581 00:30:31,680 --> 00:30:35,600 Speaker 2: that great clip on the Bill Marshaw recently about how 582 00:30:35,640 --> 00:30:38,240 Speaker 2: happy we all are that Trump is doing what he's 583 00:30:38,240 --> 00:30:40,120 Speaker 2: doing and how great things are the Trump voters have 584 00:30:40,200 --> 00:30:43,560 Speaker 2: no regrets, nothing but high fives all around. She pointed 585 00:30:43,560 --> 00:30:46,760 Speaker 2: out that this whole oligarch thing and the whole Wall 586 00:30:46,800 --> 00:30:49,880 Speaker 2: Street for Republican it's all crap, it's all lies. This 587 00:30:49,960 --> 00:30:52,760 Speaker 2: is eighteen listen to listener dismantled this well done. 588 00:30:52,920 --> 00:30:58,719 Speaker 6: There is such an irony to Democrats talking about oligarchy because, 589 00:30:58,720 --> 00:31:02,680 Speaker 6: of course, for every one billionaire that backed President Trump 590 00:31:03,200 --> 00:31:07,720 Speaker 6: Kamala Harris head two nine of the ten richest counties 591 00:31:07,720 --> 00:31:12,400 Speaker 6: in America are represented by Democrats. Sixty five percent of 592 00:31:12,400 --> 00:31:15,640 Speaker 6: Americans making over five hundred thousand dollars a year today 593 00:31:15,920 --> 00:31:20,800 Speaker 6: are Democrats. Seventy five percent of hedge fund managers who 594 00:31:20,840 --> 00:31:24,880 Speaker 6: make political donations donate to Democrats, and ninety five percent 595 00:31:24,920 --> 00:31:28,160 Speaker 6: of political donations from the top three management consulting firms 596 00:31:28,240 --> 00:31:32,720 Speaker 6: go to Democrats. Meanwhile, President Trump absolutely crushed with Americans 597 00:31:32,760 --> 00:31:35,640 Speaker 6: who make under one hundred thousand dollars a year. The 598 00:31:35,640 --> 00:31:39,520 Speaker 6: Democrats are the party of the wealthy, and Donald Trump 599 00:31:39,640 --> 00:31:43,600 Speaker 6: is representing the working class because he simply lifted the 600 00:31:43,720 --> 00:31:47,320 Speaker 6: pro worker elements of the Democrats agenda when they abandon 601 00:31:47,400 --> 00:31:50,360 Speaker 6: the working class to cater to their rich base. 602 00:31:50,680 --> 00:31:52,720 Speaker 5: This is all performance art. 603 00:31:55,440 --> 00:31:58,040 Speaker 2: Is that so well doneham Clay? Those stats? I mean, 604 00:31:58,240 --> 00:32:00,360 Speaker 2: I am familiar with some of that before. But if 605 00:32:00,360 --> 00:32:02,680 Speaker 2: you look at where the money, big, you know, big 606 00:32:03,160 --> 00:32:08,000 Speaker 2: hedge funds money goes to Democrats, government bureaucracy, feeder buroxycy 607 00:32:08,120 --> 00:32:12,000 Speaker 2: money all go all goes to Democrats. McKenzie and Bain 608 00:32:12,160 --> 00:32:15,080 Speaker 2: and these you know, supposedly elite management consultant firms. Don't 609 00:32:15,080 --> 00:32:17,560 Speaker 2: even get me started on what they really do. Democrats, 610 00:32:17,840 --> 00:32:23,680 Speaker 2: the establishment elites are overwhelmingly Democrats. Now they're trying to 611 00:32:23,680 --> 00:32:27,760 Speaker 2: pivot into the oligaukey And we care about the working class, 612 00:32:27,800 --> 00:32:29,680 Speaker 2: they don't care. They don't give a you know what 613 00:32:29,840 --> 00:32:31,000 Speaker 2: about the working class. 614 00:32:31,280 --> 00:32:36,320 Speaker 1: I think social media has exposed how little depth there 615 00:32:36,480 --> 00:32:40,480 Speaker 1: is behind these talking points. To your point, Kamala spent 616 00:32:40,680 --> 00:32:43,960 Speaker 1: a billion and a half dollars and had far more 617 00:32:44,040 --> 00:32:47,840 Speaker 1: wealthy people supporting her in the election of twenty twenty 618 00:32:47,880 --> 00:32:51,480 Speaker 1: four than supported Trump. I was just out in San Francisco, Buck, 619 00:32:51,880 --> 00:32:54,280 Speaker 1: Marin County, right across. 620 00:32:53,880 --> 00:32:58,040 Speaker 2: The Golden Gate. Pretty colonists, unfortunately, but gorgeous. That's where 621 00:32:58,040 --> 00:33:02,240 Speaker 2: I'm going to unbelievably beautiful. I have a friend from 622 00:33:02,320 --> 00:33:06,520 Speaker 2: law school who lives in Marin County, and we went out, 623 00:33:06,560 --> 00:33:08,600 Speaker 2: had the kids. We went out and got something to eat, 624 00:33:09,080 --> 00:33:12,560 Speaker 2: and after I ate dinner there, I went back. 625 00:33:12,600 --> 00:33:15,440 Speaker 1: I'm a data nerd. I just wanted to know because 626 00:33:15,480 --> 00:33:21,200 Speaker 1: she said, yeah, everybody around here is a diehard supporter 627 00:33:21,400 --> 00:33:25,040 Speaker 1: of Kamala Harris. And she said, every now and then 628 00:33:25,160 --> 00:33:27,880 Speaker 1: I'll see like a Trump bumper sticker, and people are 629 00:33:28,280 --> 00:33:31,560 Speaker 1: You're gonna love this story, Buck, people are like a ghast. 630 00:33:31,960 --> 00:33:34,600 Speaker 1: So we were out for dinner, getting pizza. I had 631 00:33:34,640 --> 00:33:36,959 Speaker 1: my son, she had a couple of her daughters, and 632 00:33:37,000 --> 00:33:40,680 Speaker 1: one of her daughter's friends was there and we were 633 00:33:40,720 --> 00:33:43,200 Speaker 1: kind of talking and everything else, and she said, oh, yeah, 634 00:33:43,520 --> 00:33:46,760 Speaker 1: you know mister Clay, he's a big Trump supporter. And 635 00:33:47,240 --> 00:33:50,760 Speaker 1: her daughter is in sixth grade, and her daughter's friend 636 00:33:50,800 --> 00:33:54,160 Speaker 1: was also in sixth grade. But the daughter's friend looked 637 00:33:54,160 --> 00:33:58,480 Speaker 1: at me like she thought I was from another planet. 638 00:33:58,680 --> 00:34:01,000 Speaker 1: I don't think she had ever in her life, this 639 00:34:01,040 --> 00:34:04,320 Speaker 1: little girl who was living in Marin County, ever seen 640 00:34:04,680 --> 00:34:08,640 Speaker 1: someone who was a Trump supporter. And my seventeen year 641 00:34:08,640 --> 00:34:10,960 Speaker 1: old when we got in the car to head back 642 00:34:11,000 --> 00:34:16,839 Speaker 1: to the hotel, he said, Dad, that girl was terrified 643 00:34:17,120 --> 00:34:20,600 Speaker 1: when she found out that you voted for Donald Trump 644 00:34:20,640 --> 00:34:23,400 Speaker 1: and were a big Trump supporter. And when you said 645 00:34:23,440 --> 00:34:26,040 Speaker 1: to her, he's actually a really nice guy. I told 646 00:34:26,080 --> 00:34:28,319 Speaker 1: her about the milkshake story, and I was like, he's 647 00:34:28,320 --> 00:34:32,240 Speaker 1: a good grandpa. It was as if I were telling 648 00:34:32,280 --> 00:34:35,239 Speaker 1: her that I was from Mars. And I went and 649 00:34:35,280 --> 00:34:40,879 Speaker 1: looked at the data. Marin County voted ninety to ten 650 00:34:41,600 --> 00:34:44,919 Speaker 1: for Kamala Harris, ninety to ten. 651 00:34:45,040 --> 00:34:45,320 Speaker 2: Buck. 652 00:34:45,840 --> 00:34:49,280 Speaker 1: I mean, it's not just that these people are in cults. 653 00:34:49,840 --> 00:34:53,160 Speaker 1: It's that they really have bought into the idea that 654 00:34:53,280 --> 00:34:57,400 Speaker 1: we're evil people. Look, we put on Joy Reid. I 655 00:34:57,440 --> 00:34:59,920 Speaker 1: don't think Joy reads evil. I think she's a moron. 656 00:35:00,920 --> 00:35:02,520 Speaker 1: They really think. 657 00:35:02,400 --> 00:35:04,640 Speaker 2: That we are likes in a generous mood today. 658 00:35:04,680 --> 00:35:08,600 Speaker 1: Yeah, I mean they think that we're Nazi stormtroopers and 659 00:35:08,600 --> 00:35:12,160 Speaker 1: and I look, I mean it really like I thought 660 00:35:12,160 --> 00:35:14,120 Speaker 1: about this a lot when I got back to the hotel, 661 00:35:14,200 --> 00:35:18,400 Speaker 1: because these are highly educated people. How can they be 662 00:35:19,280 --> 00:35:23,160 Speaker 1: so insular that they are not familiar even with the 663 00:35:23,360 --> 00:35:25,440 Speaker 1: arguments that are being made. And I thought bucked this 664 00:35:25,520 --> 00:35:28,839 Speaker 1: tied end because do you know where some of these 665 00:35:28,880 --> 00:35:32,600 Speaker 1: Teesla dealerships that are now getting firebombed are Bay Area, right, 666 00:35:33,000 --> 00:35:36,200 Speaker 1: And a lot of people there feel somehow as if Twitter, 667 00:35:36,239 --> 00:35:38,440 Speaker 1: which was certainly based in the Bay Area, and we've 668 00:35:38,480 --> 00:35:40,759 Speaker 1: talked about this. San Francisco is one of the most 669 00:35:40,760 --> 00:35:43,560 Speaker 1: beautiful cities in the world, that may be the most beautiful, 670 00:35:43,760 --> 00:35:47,439 Speaker 1: truly natural geographic city in all of America, right, just yeah, 671 00:35:47,560 --> 00:35:50,440 Speaker 1: And they have such incredible wealth there. I think it's 672 00:35:50,480 --> 00:35:53,760 Speaker 1: the wealthiest city in America on a per capita basis. 673 00:35:54,120 --> 00:35:57,160 Speaker 1: Yet their minds are so closed that they can't even 674 00:35:57,160 --> 00:36:00,319 Speaker 1: comprehend some of the arguments. And they really have the 675 00:36:00,360 --> 00:36:03,640 Speaker 1: idea that we're all a bunch of Nazi stormtroopers if 676 00:36:03,640 --> 00:36:06,759 Speaker 1: we vote for Trump. And it really is just kind 677 00:36:06,760 --> 00:36:09,840 Speaker 1: of staggering, because again, I disagree with a lot of 678 00:36:09,880 --> 00:36:11,680 Speaker 1: Democrat voters, but I'm not trying. 679 00:36:11,440 --> 00:36:16,000 Speaker 2: To argue that they are truly evil. Well, you made 680 00:36:16,040 --> 00:36:18,000 Speaker 2: a point in the last hour that I think is 681 00:36:19,520 --> 00:36:23,360 Speaker 2: worth hitting again. And expanding on a little bit, and 682 00:36:23,400 --> 00:36:28,080 Speaker 2: that is that Elon is a trader to his class. 683 00:36:28,760 --> 00:36:31,759 Speaker 2: And what's really interesting is that who is the original 684 00:36:32,280 --> 00:36:37,520 Speaker 2: great class trader in our lifetime in politics? Donald Trump? Yes, 685 00:36:37,640 --> 00:36:41,239 Speaker 2: of course he's not supposed to. He's not supposed to 686 00:36:41,280 --> 00:36:44,319 Speaker 2: care about the border. He's not supposed to. You know, 687 00:36:45,000 --> 00:36:49,560 Speaker 2: Donald Trump was the billionaire that gets along with and 688 00:36:49,719 --> 00:36:52,640 Speaker 2: likes the construction workers and wants them to be able 689 00:36:52,680 --> 00:36:54,600 Speaker 2: to live in a nice house and have a nice 690 00:36:54,640 --> 00:36:58,120 Speaker 2: wife and a nice family and everything. They that is 691 00:36:58,200 --> 00:37:01,239 Speaker 2: a huge problem for the elites and the Donald and 692 00:37:01,280 --> 00:37:03,879 Speaker 2: also that Donald Trump didn't have the respect for them, 693 00:37:03,920 --> 00:37:06,920 Speaker 2: meaning the New York Times. You know, you show up 694 00:37:06,920 --> 00:37:08,560 Speaker 2: that Donald Trump, you say, I went to Harvard. He's like, 695 00:37:08,560 --> 00:37:10,440 Speaker 2: who cares? Am I supposed to care? Why am I 696 00:37:10,440 --> 00:37:12,200 Speaker 2: supposed to? How'd you get into Harvard? Who cares? You know? 697 00:37:12,239 --> 00:37:15,120 Speaker 2: He he sees through a lot of the BS. Elon 698 00:37:16,040 --> 00:37:18,759 Speaker 2: is a different kind of trader to his class in 699 00:37:18,800 --> 00:37:22,880 Speaker 2: their mind, which is the Silicon Valley. You want to 700 00:37:22,880 --> 00:37:27,720 Speaker 2: talk about oligarchs, the Silicon Valley, ultra wealthy, ultra high 701 00:37:27,760 --> 00:37:35,040 Speaker 2: IQ global industry dominating figure. They have all I mean, 702 00:37:35,080 --> 00:37:36,840 Speaker 2: look at Google, and look at Facebook, and look at you. No, 703 00:37:36,880 --> 00:37:38,719 Speaker 2: I know Facebook started to play the game a little bit, 704 00:37:38,719 --> 00:37:42,160 Speaker 2: but you look at all. Silicon Valley has been essentially 705 00:37:42,200 --> 00:37:47,400 Speaker 2: the greatest wealth creation and concentration of wealth creation maybe 706 00:37:47,400 --> 00:37:49,480 Speaker 2: in human history if you did it on like a 707 00:37:49,520 --> 00:37:54,840 Speaker 2: square mile basis, And it has unfortunately filled the country 708 00:37:55,000 --> 00:37:58,120 Speaker 2: with horrible ideas. It has filled the United States with 709 00:37:58,160 --> 00:38:01,160 Speaker 2: the most left wing because of their into social media, 710 00:38:01,200 --> 00:38:03,640 Speaker 2: because of the billions of dollars they've spent on politics 711 00:38:03,800 --> 00:38:07,400 Speaker 2: in different election cycles going back for decades now. And 712 00:38:07,560 --> 00:38:10,360 Speaker 2: Elon is the first one who has really broken from that, 713 00:38:10,880 --> 00:38:13,000 Speaker 2: who's at the absolute top. I mean, he is like 714 00:38:13,040 --> 00:38:16,759 Speaker 2: the apex of the pyramid Clay and goes, Yeah, that 715 00:38:16,840 --> 00:38:19,399 Speaker 2: stuff that you guys have been promoted, that's insane. Yeah, 716 00:38:19,440 --> 00:38:22,520 Speaker 2: you're wrong. It's destroying this country. That allowed you to 717 00:38:22,560 --> 00:38:25,160 Speaker 2: build Facebook, that allowed you to build Google, that allowed 718 00:38:25,200 --> 00:38:29,000 Speaker 2: for that massive wealth creation. So he's kind of the 719 00:38:29,000 --> 00:38:31,279 Speaker 2: the Trump of the Bay Area in a sense. Right. 720 00:38:31,320 --> 00:38:33,560 Speaker 2: Trump did it for the New York Times and Wall 721 00:38:33,600 --> 00:38:37,640 Speaker 2: Street and those elites. Elon has thumbed his nose at 722 00:38:37,640 --> 00:38:42,160 Speaker 2: the West Coast Silicon Valley royalty. That's I think really 723 00:38:42,200 --> 00:38:45,440 Speaker 2: well said for East versus West Coast and the symbiosis 724 00:38:45,440 --> 00:38:48,239 Speaker 2: between the two. I would also point out really a 725 00:38:48,280 --> 00:38:51,480 Speaker 2: lot of what we're talking about is builders versus bureaucrats, 726 00:38:52,200 --> 00:38:57,600 Speaker 2: people who create something that didn't exist otherwise. Trump built buildings, 727 00:38:57,760 --> 00:39:02,120 Speaker 2: Elon has built companies versus the people who really just 728 00:39:02,239 --> 00:39:05,440 Speaker 2: kind of get involved in what has already been built 729 00:39:05,880 --> 00:39:08,839 Speaker 2: and use it as their method to continue to make 730 00:39:08,880 --> 00:39:12,880 Speaker 2: a living. What do most people in DC build other 731 00:39:13,000 --> 00:39:17,480 Speaker 2: than a continued tax on the people who actually build, 732 00:39:18,000 --> 00:39:21,200 Speaker 2: and there's a frustration. I think that is what unites 733 00:39:21,640 --> 00:39:24,600 Speaker 2: Musk and Trump on some level with a lot of 734 00:39:24,600 --> 00:39:28,600 Speaker 2: the people in middle management that they feel like don't 735 00:39:28,640 --> 00:39:32,400 Speaker 2: actually create. Trump gets along well with construction workers. 736 00:39:32,400 --> 00:39:35,520 Speaker 1: Why would that be because he understands that they actually 737 00:39:35,560 --> 00:39:39,200 Speaker 1: create things with their hands. They actually build the buildings 738 00:39:39,239 --> 00:39:40,440 Speaker 1: that he's trying to put together. 739 00:39:40,760 --> 00:39:42,680 Speaker 2: I think that without them, you don't have Trump Tower. 740 00:39:42,760 --> 00:39:44,600 Speaker 2: That's why he likes Trump Tower. So thank you for 741 00:39:44,640 --> 00:39:46,080 Speaker 2: the guy's building. That's right. 742 00:39:46,120 --> 00:39:50,640 Speaker 1: And Elon has built his car almost exclusively that he 743 00:39:50,719 --> 00:39:54,080 Speaker 1: sells in the United States in the United States, and uniquely, 744 00:39:54,239 --> 00:39:58,719 Speaker 1: I think respects the craftsmanship for rockets or ships or 745 00:39:58,719 --> 00:40:02,359 Speaker 1: whatever else. The building and a lot of what Democrats 746 00:40:02,440 --> 00:40:07,120 Speaker 1: represent now is actually the bureaucrats that effectively are taxes 747 00:40:07,520 --> 00:40:12,239 Speaker 1: leeches on the builders. And that disconnect is what's motivating 748 00:40:12,400 --> 00:40:14,839 Speaker 1: a lot of the conflict that's going on right now 749 00:40:14,880 --> 00:40:17,880 Speaker 1: in the country and why I think Elon is the 750 00:40:17,920 --> 00:40:21,120 Speaker 1: new target in combination with the fact that they thought 751 00:40:21,200 --> 00:40:24,239 Speaker 1: he was their guy and now they're having to look 752 00:40:24,280 --> 00:40:26,839 Speaker 1: around and say, wait a minute, the guy who's done 753 00:40:26,840 --> 00:40:30,120 Speaker 1: the most to fight climate change is actually. 754 00:40:29,840 --> 00:40:30,800 Speaker 2: A buddy with Trump. 755 00:40:30,800 --> 00:40:33,480 Speaker 1: Well, yeah, and they actually connect, and it's a logical 756 00:40:33,600 --> 00:40:36,239 Speaker 1: choice in many ways for what Elon has done. 757 00:40:36,640 --> 00:40:39,880 Speaker 2: And isn't it also interesting, Clay that you see a 758 00:40:39,920 --> 00:40:43,640 Speaker 2: pattern a trend here. Jd Vance. I mean I read 759 00:40:43,719 --> 00:40:46,920 Speaker 2: Hillbilly Elogy like so many others did over a decade 760 00:40:46,960 --> 00:40:50,839 Speaker 2: ago when it came out. Jd. Vance is an incredible 761 00:40:51,040 --> 00:40:55,759 Speaker 2: American success story. Yeah, that should be inspiring to everybody 762 00:40:55,800 --> 00:40:59,120 Speaker 2: of any background, race, creed, or color to grow. I mean, 763 00:40:59,400 --> 00:41:02,600 Speaker 2: few things are harder on a young person than having 764 00:41:02,640 --> 00:41:06,480 Speaker 2: a broken family and addict mother. He's now the Vice 765 00:41:06,480 --> 00:41:08,799 Speaker 2: President of the United States and became a multimillionaire on 766 00:41:08,800 --> 00:41:11,920 Speaker 2: his own and served in the Marine Corps before that. Okay, yep. 767 00:41:12,320 --> 00:41:16,080 Speaker 2: The left completely negates all that in their mind because 768 00:41:16,120 --> 00:41:19,040 Speaker 2: he is the vice president Donald Trump. Elon Musk. Some 769 00:41:19,080 --> 00:41:21,120 Speaker 2: guys show they try to say that he's I've read 770 00:41:21,120 --> 00:41:23,640 Speaker 2: Elon's biography. I know you have two He is not 771 00:41:23,719 --> 00:41:25,840 Speaker 2: a rich kid, meaning like he didn't grow up a 772 00:41:25,920 --> 00:41:28,359 Speaker 2: rich kid. Yeah, his parent's dad had a little bit 773 00:41:28,360 --> 00:41:30,480 Speaker 2: of money, but it wasn't he showed up here and 774 00:41:30,560 --> 00:41:33,960 Speaker 2: was sleeping on the floor and kind of almost like 775 00:41:33,960 --> 00:41:36,239 Speaker 2: a weirdo. So devoted to his career. I mean, he 776 00:41:36,320 --> 00:41:41,799 Speaker 2: was absolutely all in and has created multiple companies, employing 777 00:41:42,080 --> 00:41:44,799 Speaker 2: hundreds of thousands of people and trillions of dollars of 778 00:41:44,840 --> 00:41:48,200 Speaker 2: wealth creation over the life of those companies. It's incredible 779 00:41:48,200 --> 00:41:50,960 Speaker 2: what he's done. And they hate him. They hate him, 780 00:41:51,080 --> 00:41:52,759 Speaker 2: And then you look at who the Democrats hold up, 781 00:41:52,800 --> 00:41:56,200 Speaker 2: Joe Biden. Joe Biden is a leech. He's a leech. 782 00:41:57,160 --> 00:42:01,759 Speaker 1: Most politicians who are professional politicians are leeches. That's the 783 00:42:01,880 --> 00:42:04,720 Speaker 1: job now, you said earlier, and I think it's true. 784 00:42:05,200 --> 00:42:08,200 Speaker 1: We need more people who have success in life and 785 00:42:08,239 --> 00:42:10,800 Speaker 1: then decide to give back to the country. 786 00:42:12,000 --> 00:42:15,560 Speaker 2: Huge game change. The Trump Elon Yeah, the Trump Elon axis. 787 00:42:15,880 --> 00:42:18,839 Speaker 2: If you're a multi billionaire businessman. Now, who's better at 788 00:42:18,840 --> 00:42:21,600 Speaker 2: the game than anybody else? Like you got to help? 789 00:42:21,840 --> 00:42:23,520 Speaker 2: You know, whatever that means, You've got it. And it 790 00:42:23,520 --> 00:42:26,120 Speaker 2: doesn't mean writing big checks and having people at your 791 00:42:26,120 --> 00:42:30,000 Speaker 2: house in Malibu for cocktail parties. No, it means actually 792 00:42:30,040 --> 00:42:33,279 Speaker 2: giving of your genius and your time to your country. Right, 793 00:42:33,520 --> 00:42:34,960 Speaker 2: you know you want to talk about what the future 794 00:42:34,960 --> 00:42:39,160 Speaker 2: looks like, AI, drones tech, This is going to be 795 00:42:39,200 --> 00:42:43,879 Speaker 2: everything in terms of productivity, in terms of warfare. We 796 00:42:44,000 --> 00:42:47,040 Speaker 2: need the best. We can't have, you know, the the 797 00:42:47,320 --> 00:42:49,920 Speaker 2: lazy department of ED people running everything. All Right, Look, 798 00:42:49,960 --> 00:42:53,040 Speaker 2: we all have memories that we wish we could relive. 799 00:42:53,600 --> 00:42:55,960 Speaker 2: If you could revisit your favorite memories you recorded on 800 00:42:56,080 --> 00:42:58,080 Speaker 2: videotaper film. I mean, how much fun would that be? 801 00:42:58,160 --> 00:43:00,520 Speaker 2: How great would that be for your family? And what 802 00:43:00,560 --> 00:43:03,000 Speaker 2: if you could replay those memories not just once, not 803 00:43:03,160 --> 00:43:07,319 Speaker 2: just now, but for future generations part of your family legacy. Well, 804 00:43:07,560 --> 00:43:09,680 Speaker 2: if you are a family member are holding onto a 805 00:43:09,680 --> 00:43:12,400 Speaker 2: box full of old videotapes, now is the time to 806 00:43:12,400 --> 00:43:14,920 Speaker 2: get them digitally transferred, because those tapes are going to 807 00:43:15,000 --> 00:43:17,560 Speaker 2: disintegrate and they're going to be totally useless in time 808 00:43:18,000 --> 00:43:20,560 Speaker 2: Legacy Box is who we trust to do this service 809 00:43:21,320 --> 00:43:25,279 Speaker 2: simple and safe. They digitize all of your videotapes, camquarterer tapes, 810 00:43:25,320 --> 00:43:27,920 Speaker 2: film reels and pictures so they are preserved forever. Co 811 00:43:28,000 --> 00:43:31,279 Speaker 2: founders Nick Maco and Adam Boslagger started this company in 812 00:43:31,320 --> 00:43:34,319 Speaker 2: their college dorm room over a decade ago. They, by 813 00:43:34,360 --> 00:43:36,560 Speaker 2: the way, talk about a great American success story. These 814 00:43:36,560 --> 00:43:38,480 Speaker 2: guys are doing it like in their garage. They're they're 815 00:43:38,520 --> 00:43:40,839 Speaker 2: the garage band that made it big, except they were 816 00:43:40,880 --> 00:43:43,760 Speaker 2: the garage Legacy Box guys who made it big incredible, 817 00:43:43,760 --> 00:43:47,400 Speaker 2: and they're such nice guys, so humble, and they employ 818 00:43:47,560 --> 00:43:50,759 Speaker 2: hundreds of people. They've got a great company, all based 819 00:43:50,800 --> 00:43:53,680 Speaker 2: in Clay's home state of Tennessee. And they're patriots too. 820 00:43:54,040 --> 00:43:57,040 Speaker 2: So go with Legacy Box today. It's a great gift. 821 00:43:57,080 --> 00:43:59,640 Speaker 2: You know, got Father's Day coming up, Mother's Days and 822 00:43:59,680 --> 00:44:02,080 Speaker 2: Mother's soon too. I got to remember these things. Go 823 00:44:02,200 --> 00:44:05,560 Speaker 2: check out Legacy Box today, legacy box dot com, slash 824 00:44:05,600 --> 00:44:08,000 Speaker 2: buck You'll get fifty percent off when you go to 825 00:44:08,080 --> 00:44:11,400 Speaker 2: legacy box dot com slash b u c. 826 00:44:11,640 --> 00:44:18,279 Speaker 1: K Stories of freedom, stories of America, inspirational stories that 827 00:44:18,360 --> 00:44:19,160 Speaker 1: you unite us. 828 00:44:19,080 --> 00:44:22,160 Speaker 2: All each day, spend time with Clay and Boy. 829 00:44:22,600 --> 00:44:25,920 Speaker 1: Find them on the free iHeartRadio app or wherever you 830 00:44:26,040 --> 00:44:27,160 Speaker 1: get your podcasts. 831 00:44:27,480 --> 00:44:30,759 Speaker 2: Welcome back into Clay and Buck. So we're talking about 832 00:44:30,760 --> 00:44:33,320 Speaker 2: the attacks on Elon and also some of what Trump 833 00:44:33,360 --> 00:44:37,840 Speaker 2: said from the oval this morning, well afternoon morning, was 834 00:44:37,880 --> 00:44:41,319 Speaker 2: pretty close to being one or the other. And it's 835 00:44:41,360 --> 00:44:44,080 Speaker 2: really interesting to see how Trump is not backing down 836 00:44:44,200 --> 00:44:47,080 Speaker 2: at all. And one thing Clay that that really did 837 00:44:47,120 --> 00:44:55,440 Speaker 2: come across substantially is that Trump recognizes when these judges 838 00:44:55,760 --> 00:45:00,520 Speaker 2: and these Democrats oppose things like getting getting elite member. 839 00:45:00,600 --> 00:45:02,800 Speaker 2: These are It's not that he's taking Americans who have 840 00:45:02,880 --> 00:45:05,560 Speaker 2: joined a gang and just sent them to some foreign 841 00:45:05,560 --> 00:45:09,280 Speaker 2: prison somewhere. These are non Americans. They are not supposed 842 00:45:09,280 --> 00:45:11,480 Speaker 2: to be in the country in the first place. They're 843 00:45:11,840 --> 00:45:15,600 Speaker 2: illegal aliens who are also part of a violent gang 844 00:45:15,640 --> 00:45:19,279 Speaker 2: that is a designated terrorist organization. They are being sent 845 00:45:19,320 --> 00:45:21,480 Speaker 2: out of the country and Democrats are going to the 846 00:45:21,600 --> 00:45:24,560 Speaker 2: mat to make sure they have maximum due process rights. 847 00:45:24,800 --> 00:45:27,360 Speaker 2: The same Democrats and I mean the same individuals in 848 00:45:27,360 --> 00:45:29,799 Speaker 2: some cases in the media and the Democrat Party who 849 00:45:29,840 --> 00:45:36,200 Speaker 2: had no problem with nonviolent j six Americans rotting away 850 00:45:36,400 --> 00:45:39,640 Speaker 2: in a DC gulag for a year without trial, are 851 00:45:39,680 --> 00:45:43,399 Speaker 2: now really concerned about trend of IRAGUA members. But let's 852 00:45:43,400 --> 00:45:46,719 Speaker 2: actually get an update here on the Elon story that 853 00:45:46,760 --> 00:45:49,839 Speaker 2: was running on the New York Times from Under Secretary 854 00:45:50,160 --> 00:45:53,320 Speaker 2: of Defense Sean Parnell, who joins us for the first 855 00:45:53,320 --> 00:45:56,320 Speaker 2: time on the program since he has taken that senior 856 00:45:56,360 --> 00:46:01,080 Speaker 2: Pentagon role. I feel like I should say, Sean, thank 857 00:46:01,120 --> 00:46:04,040 Speaker 2: you for being with us and tell us, tell us 858 00:46:04,040 --> 00:46:06,960 Speaker 2: what you can about what happened with the New York 859 00:46:07,000 --> 00:46:09,200 Speaker 2: Times saying Elam was going to get all the China 860 00:46:09,239 --> 00:46:10,120 Speaker 2: war plans. 861 00:46:10,960 --> 00:46:13,320 Speaker 4: It was completely fake. And you want to know what else? 862 00:46:13,960 --> 00:46:16,800 Speaker 4: We had a heads up from the New York Times reporter. 863 00:46:16,920 --> 00:46:19,480 Speaker 4: I should say there's five reporters on it, but by 864 00:46:19,520 --> 00:46:22,839 Speaker 4: one of the reporters the night before that they were 865 00:46:22,880 --> 00:46:25,480 Speaker 4: planning to write something like that and this was the 866 00:46:25,520 --> 00:46:27,920 Speaker 4: angle that they were going to take. And we told 867 00:46:27,920 --> 00:46:30,680 Speaker 4: them last night that it's not true, Like what are 868 00:46:30,680 --> 00:46:33,719 Speaker 4: you doing? That's not true? This is completely fake. Yet 869 00:46:33,760 --> 00:46:39,239 Speaker 4: they ran with the story anyway. And what's crazy to me, 870 00:46:39,360 --> 00:46:45,120 Speaker 4: Buck is that like this Secretary Secretary Hegset has been 871 00:46:45,520 --> 00:46:49,640 Speaker 4: working so hard to push peace through strength, to build 872 00:46:49,719 --> 00:46:52,719 Speaker 4: up our force to work to implement the President's agenda. 873 00:46:53,000 --> 00:46:56,000 Speaker 4: I've been on the bilateral calls with foreign leaders. I've 874 00:46:56,080 --> 00:46:59,479 Speaker 4: heard him. I've heard him make the case for peace 875 00:46:59,520 --> 00:47:02,960 Speaker 4: through strength. But articles like this that Elon Musk is 876 00:47:03,000 --> 00:47:04,680 Speaker 4: going to come to the Pentagon and get a super 877 00:47:04,680 --> 00:47:09,359 Speaker 4: secret squirrel briefing on war plans with potential China, not 878 00:47:09,400 --> 00:47:13,279 Speaker 4: only does it undermine the Secretary's uh, you know what 879 00:47:13,440 --> 00:47:15,759 Speaker 4: his goals and ambitions are here, which I think is 880 00:47:15,840 --> 00:47:19,560 Speaker 4: part of the point. It also is is it's dangerous. 881 00:47:19,800 --> 00:47:23,000 Speaker 4: It's dangerous because many of us took this job. Buck, 882 00:47:23,000 --> 00:47:24,759 Speaker 4: and I know I speak for the Secretary too, because 883 00:47:24,760 --> 00:47:28,200 Speaker 4: we've got a lot of kids our job. I think 884 00:47:28,239 --> 00:47:30,759 Speaker 4: we've got four years to get this done. You know, 885 00:47:30,840 --> 00:47:34,040 Speaker 4: as well as iView Buck. The operating environment, the threat 886 00:47:34,120 --> 00:47:37,600 Speaker 4: environment globally is changing rapidly. We've got to change and 887 00:47:37,640 --> 00:47:40,359 Speaker 4: evolve our force to meet it. But we we've got 888 00:47:40,480 --> 00:47:42,360 Speaker 4: kids that we've got to make sure that they inherit 889 00:47:42,400 --> 00:47:44,239 Speaker 4: a world that is better than the one that we had, 890 00:47:44,239 --> 00:47:46,200 Speaker 4: that is more prosperous the one that we had and 891 00:47:46,320 --> 00:47:50,200 Speaker 4: is safer, and articles like that like this from the 892 00:47:50,239 --> 00:47:53,359 Speaker 4: New York Times work against that goal, and it just 893 00:47:53,680 --> 00:47:56,239 Speaker 4: it just makes you wonder what their motivation is. It's 894 00:47:56,360 --> 00:47:57,240 Speaker 4: to me, it's just sickening. 895 00:47:57,280 --> 00:47:59,880 Speaker 2: They should retract, not only should they retax. 896 00:48:00,280 --> 00:48:02,680 Speaker 1: Congratulations on the new job, and thank you for the 897 00:48:02,680 --> 00:48:04,640 Speaker 1: work that you're doing there and for hopping on with us. 898 00:48:05,239 --> 00:48:09,040 Speaker 1: Don't you think, Sean, that this had to be coming 899 00:48:09,200 --> 00:48:12,760 Speaker 1: via a leak in some way to the New York Times? 900 00:48:12,840 --> 00:48:16,560 Speaker 1: And if that occurred, wouldn't that be criminal based on 901 00:48:16,920 --> 00:48:20,920 Speaker 1: the method that it was distributed? And given the story 902 00:48:20,960 --> 00:48:24,400 Speaker 1: that's out there about China war plans, what kind of 903 00:48:24,440 --> 00:48:28,200 Speaker 1: investigation can we expect or should take place here. 904 00:48:28,800 --> 00:48:31,799 Speaker 4: Well, we're still in the early phases of this, so 905 00:48:31,920 --> 00:48:34,160 Speaker 4: we're still trying to wrap our mind around how something 906 00:48:34,200 --> 00:48:37,640 Speaker 4: like this could happen. But yeah, certainly it's a leak, 907 00:48:37,800 --> 00:48:40,680 Speaker 4: in this case a fake one. So whoever, who the 908 00:48:40,760 --> 00:48:43,279 Speaker 4: two anonymous defense officials. I mean, you sit there and 909 00:48:43,320 --> 00:48:46,040 Speaker 4: you read the article from the Times, and you wonder 910 00:48:46,040 --> 00:48:49,279 Speaker 4: if these anonymous defense officials are even real people. I 911 00:48:49,280 --> 00:48:53,440 Speaker 4: don't know, But thankfully, in this regard, the leak was 912 00:48:53,480 --> 00:48:55,600 Speaker 4: fake and we were able to control the narrative. But 913 00:48:55,640 --> 00:48:58,279 Speaker 4: the fact of the matter is that this is a 914 00:48:58,280 --> 00:49:01,839 Speaker 4: big building where we do nothing but but plan, plan, 915 00:49:02,080 --> 00:49:06,440 Speaker 4: plan for every contingency, and we can't have you know, 916 00:49:07,000 --> 00:49:11,399 Speaker 4: anonymous defense officials passing off, you know, what they think 917 00:49:11,480 --> 00:49:15,359 Speaker 4: might be classified information to to reporters who then turn 918 00:49:15,400 --> 00:49:18,279 Speaker 4: around in public and publish it. Yeah, that's criminal. And 919 00:49:18,280 --> 00:49:21,200 Speaker 4: and and I'll tell you there there there have got 920 00:49:21,239 --> 00:49:23,480 Speaker 4: to be consequences for that. So we're still trying to 921 00:49:23,480 --> 00:49:27,680 Speaker 4: figure out how how we approach this. But yeah, I'll 922 00:49:27,680 --> 00:49:29,719 Speaker 4: tell you this is this is on all of our 923 00:49:30,120 --> 00:49:34,319 Speaker 4: minds because this isn't this is I mean, there are 924 00:49:34,360 --> 00:49:37,400 Speaker 4: politics is behind everything, but what we're dealing with here 925 00:49:37,600 --> 00:49:40,759 Speaker 4: are are global national security issues that could affect the 926 00:49:40,760 --> 00:49:44,719 Speaker 4: safety of Americans or potentially the safety of Americans. You 927 00:49:44,800 --> 00:49:47,200 Speaker 4: can't play with that stuff. So yeah, what I can 928 00:49:47,239 --> 00:49:51,200 Speaker 4: tell you we're definitely looking into avenues that that we 929 00:49:51,320 --> 00:49:54,359 Speaker 4: can you know, investigate the loaded word. But we've got 930 00:49:54,360 --> 00:49:55,000 Speaker 4: to do something. 931 00:49:56,160 --> 00:49:58,600 Speaker 2: Speaking to Sean Parnell, it's just an under Secretary of 932 00:49:58,640 --> 00:50:01,480 Speaker 2: Defense at the Pentagon form. As you know, Sean was 933 00:50:01,480 --> 00:50:03,480 Speaker 2: a friend of ours here on the Clay and Buck 934 00:50:03,520 --> 00:50:06,960 Speaker 2: podcast network. And Sean, just give us a sense of 935 00:50:07,000 --> 00:50:10,200 Speaker 2: what some of the top agenda items are right now 936 00:50:10,719 --> 00:50:15,120 Speaker 2: that Secretary of Defense hag Seth and then you working 937 00:50:15,840 --> 00:50:18,040 Speaker 2: at the Pentagon with the rest of the team there, 938 00:50:18,280 --> 00:50:20,360 Speaker 2: what are some of the top items that you're trying 939 00:50:20,400 --> 00:50:23,320 Speaker 2: to do in terms of reform, in terms of transparency 940 00:50:23,640 --> 00:50:25,319 Speaker 2: and just war fighting efficiency. 941 00:50:25,960 --> 00:50:28,760 Speaker 4: Yeah. So, I think the top priority for US Buck 942 00:50:28,840 --> 00:50:32,960 Speaker 4: and Clay is defense of the homeland. It's been something 943 00:50:33,000 --> 00:50:36,360 Speaker 4: that both Democrat and Republican regimes over the last twenty 944 00:50:36,400 --> 00:50:39,759 Speaker 4: thirty years have probably not been as strong as they 945 00:50:39,800 --> 00:50:43,640 Speaker 4: needed to be on this. But you know, we are very, 946 00:50:43,719 --> 00:50:46,640 Speaker 4: very focused on full operational control of the southern border, 947 00:50:46,680 --> 00:50:49,720 Speaker 4: and that means the cartels not controlling a single square 948 00:50:49,880 --> 00:50:53,320 Speaker 4: mile of anything. That means stopping the flow of Fentanel 949 00:50:53,360 --> 00:50:55,080 Speaker 4: into our country. It's a number one cause of death 950 00:50:55,400 --> 00:50:58,200 Speaker 4: for people in America between eighteen and forty five. It's 951 00:50:58,239 --> 00:51:02,399 Speaker 4: absolutely unacceptable. It needed is OP yesterday. I think we're 952 00:51:02,440 --> 00:51:07,240 Speaker 4: really focused as well on you know this this process 953 00:51:07,320 --> 00:51:10,439 Speaker 4: will be slower, but a real focus on the Endo 954 00:51:10,520 --> 00:51:16,200 Speaker 4: Pacific and and deterring China. What looms large over many 955 00:51:16,320 --> 00:51:19,440 Speaker 4: of of these these BILAC calls. Don't want to go 956 00:51:19,480 --> 00:51:22,720 Speaker 4: into deep on what the substance of the conversations, of course, 957 00:51:22,760 --> 00:51:26,600 Speaker 4: but the rising tide of the CCP is something that 958 00:51:26,640 --> 00:51:29,319 Speaker 4: looms large over everything. We recognize. It's something that we're 959 00:51:29,320 --> 00:51:31,200 Speaker 4: going to have that we've got to focus on. It's 960 00:51:31,239 --> 00:51:32,360 Speaker 4: a challenge for sure. 961 00:51:32,920 --> 00:51:33,040 Speaker 3: Uh. 962 00:51:33,160 --> 00:51:37,879 Speaker 4: The third I think is figuring figuring out a way 963 00:51:38,320 --> 00:51:41,080 Speaker 4: to increase burden sharing with our allies. You know, the 964 00:51:41,440 --> 00:51:44,160 Speaker 4: truth is our allies need to do more to both 965 00:51:44,200 --> 00:51:48,400 Speaker 4: protect their nation and protect protect the world so that 966 00:51:48,480 --> 00:51:50,799 Speaker 4: we don't have to. You know, we're always going to 967 00:51:50,800 --> 00:51:52,319 Speaker 4: be there, We're always going to step up when we're 968 00:51:52,320 --> 00:51:55,160 Speaker 4: going to do our part. But as I mentioned earlier, 969 00:51:56,080 --> 00:51:59,520 Speaker 4: the world is changing and evolving rapidly. And if this country, 970 00:52:00,080 --> 00:52:03,360 Speaker 4: the world's loan superpower, does not change rapidly and evolve 971 00:52:03,440 --> 00:52:06,239 Speaker 4: with it, bad things will happen. And so those I 972 00:52:06,280 --> 00:52:09,040 Speaker 4: think buck are the top three priorities for us. I 973 00:52:09,080 --> 00:52:14,040 Speaker 4: think operationally but internally to the force, like we're aggressively 974 00:52:14,080 --> 00:52:16,520 Speaker 4: assessing standards, trying to get a sense of maybe how 975 00:52:16,560 --> 00:52:20,840 Speaker 4: things changed over the years. We've removed all the caustic 976 00:52:20,880 --> 00:52:24,680 Speaker 4: and divisive diversity equity and inclusion nonsense from almost all 977 00:52:24,719 --> 00:52:29,839 Speaker 4: of our digital platforms, the climate change insanity, all of 978 00:52:29,880 --> 00:52:33,200 Speaker 4: the electric tanks crap that's done and gone. At the Pentagon, 979 00:52:33,560 --> 00:52:36,920 Speaker 4: we're cutting those programs and reinvesting them into programs that 980 00:52:36,960 --> 00:52:39,440 Speaker 4: will make us more capable and lethal. So lots of 981 00:52:39,480 --> 00:52:41,880 Speaker 4: things that are happening here at de Penagon in the 982 00:52:41,880 --> 00:52:43,800 Speaker 4: first two months. And look, it's going to be pedal 983 00:52:43,880 --> 00:52:46,280 Speaker 4: to the metal for us for the next four years 984 00:52:46,560 --> 00:52:50,880 Speaker 4: because we really want to we really want to change things, 985 00:52:51,160 --> 00:52:53,000 Speaker 4: and we're not going to waste any time doing it. 986 00:52:53,560 --> 00:52:56,600 Speaker 1: Talking to Sean Parnell, all of that's incredibly important. I 987 00:52:56,640 --> 00:52:58,480 Speaker 1: know there's been a lot of breaking news. I don't 988 00:52:58,520 --> 00:53:01,880 Speaker 1: know if you've seen the latest breaking news. Your Pittsburgh 989 00:53:01,920 --> 00:53:07,000 Speaker 1: Steelers are currently hosting Aaron Rodgers on a quarterback visit, 990 00:53:07,080 --> 00:53:09,480 Speaker 1: so you get an opportunity to step outside of the 991 00:53:09,480 --> 00:53:14,120 Speaker 1: world of geopolitics. Right call, wrong call. You've added some 992 00:53:14,160 --> 00:53:17,640 Speaker 1: wide receiver weapons. You are a big time Pittsburgh Steeler fan. 993 00:53:17,719 --> 00:53:21,400 Speaker 1: For people who don't know, should Aaron Rodgers be the 994 00:53:21,440 --> 00:53:24,799 Speaker 1: next quarterback of the terrible Towel Waivers, Well, let. 995 00:53:24,760 --> 00:53:26,600 Speaker 4: Me just tell you this. First of all, I'm excited 996 00:53:26,640 --> 00:53:29,479 Speaker 4: as a Steelers fan for DK metcalf I just am 997 00:53:29,760 --> 00:53:32,480 Speaker 4: He's a freaking beast. We need a receiver like him. 998 00:53:32,480 --> 00:53:34,360 Speaker 4: A number one ride receiver that can be really a 999 00:53:34,400 --> 00:53:39,120 Speaker 4: deep threat. And that guy, that guy is extraordinary's extraordinary athlete. 1000 00:53:39,160 --> 00:53:42,920 Speaker 4: He's gonna fit in well in Pittsburgh. Hey, I'm whatever. 1001 00:53:42,960 --> 00:53:45,600 Speaker 4: It's Aaron Rodgers. We'll give it a go. I think 1002 00:53:45,640 --> 00:53:48,560 Speaker 4: he's but I'm game, right, I'm game to try anything. 1003 00:53:49,160 --> 00:53:51,920 Speaker 4: This is the Steelers I think have struggled at quarterback 1004 00:53:52,280 --> 00:53:55,560 Speaker 4: since Ben Roethlisberger left the team. I've got an all 1005 00:53:55,600 --> 00:53:58,120 Speaker 4: of the above strategy on this one here, Clay, Like, 1006 00:53:58,160 --> 00:54:00,680 Speaker 4: it's Aaron Rodgers, he's a Hall of Fame. Let's give 1007 00:54:00,680 --> 00:54:02,920 Speaker 4: it a go. See what we can accomplish. 1008 00:54:03,000 --> 00:54:05,560 Speaker 2: Good stuff, Sean. We appreciate you making the time. Buck. 1009 00:54:05,600 --> 00:54:07,879 Speaker 1: We still need to get I'm in DC right now, 1010 00:54:07,920 --> 00:54:09,480 Speaker 1: but we still need to come hang out with you 1011 00:54:09,520 --> 00:54:12,200 Speaker 1: guys at some point, Sean down the line. Uh, and 1012 00:54:12,280 --> 00:54:14,680 Speaker 1: make sure we get to get to tell your story 1013 00:54:14,680 --> 00:54:15,840 Speaker 1: from over near the Pentagon. 1014 00:54:16,400 --> 00:54:18,960 Speaker 4: Oh for sure, now that I'm kind of like more settled, 1015 00:54:19,000 --> 00:54:20,200 Speaker 4: we can definitely make that happen. 1016 00:54:20,239 --> 00:54:23,879 Speaker 2: One hundred percent fantastic. Thank you so much, Sean. Maybe 1017 00:54:23,920 --> 00:54:25,279 Speaker 2: I don't know if Play says he's never been on 1018 00:54:25,320 --> 00:54:26,960 Speaker 2: an aircraft carry you know what I mean. Maybe we've 1019 00:54:26,960 --> 00:54:28,680 Speaker 2: got to do some journals. That would be pretty cool. 1020 00:54:28,880 --> 00:54:30,640 Speaker 2: Get him on a helo, get him out to one. 1021 00:54:30,680 --> 00:54:32,360 Speaker 2: I'm just saying that's. 1022 00:54:32,200 --> 00:54:34,040 Speaker 4: A good idea. We might be able to make that 1023 00:54:34,080 --> 00:54:34,640 Speaker 4: happen too. 1024 00:54:35,239 --> 00:54:36,319 Speaker 2: Sounds awesome. Thank you. 1025 00:54:36,920 --> 00:54:40,800 Speaker 1: Thank you to Sean Parnell, diehard Steeler fan. And speaking 1026 00:54:40,920 --> 00:54:44,640 Speaker 1: of the Steelers, you can't really get your picks in 1027 00:54:44,800 --> 00:54:47,239 Speaker 1: on the Steelers right now, but you can get your 1028 00:54:47,280 --> 00:54:51,480 Speaker 1: picks in on the NCAA tournament with tons going on 1029 00:54:51,640 --> 00:54:54,560 Speaker 1: right now with prize picks. And I told the team, 1030 00:54:54,960 --> 00:54:57,120 Speaker 1: do we have a tally yet to see how I did, 1031 00:54:57,200 --> 00:54:59,799 Speaker 1: how Buck did in the early goings of the Great 1032 00:55:00,040 --> 00:55:03,160 Speaker 1: Racket Challenge for a Steak Dinner bet. They're up on 1033 00:55:03,400 --> 00:55:05,960 Speaker 1: clayanbuck dot com. 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I think it's actually four hundred million. 1042 00:55:30,440 --> 00:55:32,960 Speaker 1: And you are gonna be able to get your picks 1043 00:55:33,000 --> 00:55:35,319 Speaker 1: in on Major League Baseball, get your picks in on 1044 00:55:35,440 --> 00:55:38,480 Speaker 1: the NBA, but really right now in Cuba tournament and 1045 00:55:38,520 --> 00:55:42,520 Speaker 1: you get fifty bucks when you bet five dollars. When 1046 00:55:42,600 --> 00:55:45,560 Speaker 1: you make a five dollar pick, you get fifty dollars. 1047 00:55:45,680 --> 00:55:48,719 Speaker 1: Using my name, prize picks dot com code clay, you 1048 00:55:48,760 --> 00:55:51,640 Speaker 1: can play in Texas, Georgia, California. If you've been feeling 1049 00:55:51,760 --> 00:55:55,680 Speaker 1: left out, thirteen million people have signed up Prize picks 1050 00:55:55,719 --> 00:55:59,239 Speaker 1: dot com code clay. Get your picks in today. Five 1051 00:55:59,280 --> 00:56:02,879 Speaker 1: dollar picks get you fifty dollars in your account. Price 1052 00:56:02,960 --> 00:56:05,960 Speaker 1: picks dot Com. Use that code c l A Y. 1053 00:56:06,920 --> 00:56:09,480 Speaker 2: Want to be in the know when you're on the go. 1054 00:56:09,920 --> 00:56:13,879 Speaker 1: The teen forty seven podcasts Trump highlights from the week 1055 00:56:14,160 --> 00:56:17,279 Speaker 1: Sundays at noon Eastern in the Clean Boog podcast feed. 1056 00:56:17,400 --> 00:56:20,520 Speaker 1: Find it on the iHeartRadio app or wherever you get 1057 00:56:20,560 --> 00:56:21,480 Speaker 1: your podcasts.