1 00:00:00,120 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,879 Speaker 1: Sexton Show podcast. Welcome in Clay Travis Buck Sexton Show. 3 00:00:09,200 --> 00:00:13,440 Speaker 1: Buck is out. We'll be back together in DC next week. 4 00:00:14,440 --> 00:00:16,520 Speaker 2: I am told that I have a tan. 5 00:00:16,800 --> 00:00:19,880 Speaker 1: You may have seen me on such programs as Jesse 6 00:00:19,960 --> 00:00:22,880 Speaker 1: Waters on Fox News, where I was described as looking 7 00:00:23,000 --> 00:00:26,119 Speaker 1: like I Believe Bacon with a beard, which was a 8 00:00:26,160 --> 00:00:28,120 Speaker 1: heck of a line by him. Some of you are 9 00:00:28,160 --> 00:00:31,240 Speaker 1: watching right now on video. I think my tan is amazing. 10 00:00:31,560 --> 00:00:34,080 Speaker 1: I think it somewhat resembles John F. Kennedy back in 11 00:00:34,080 --> 00:00:37,199 Speaker 1: the nineteen sixties, not me, but the Tan before he 12 00:00:37,280 --> 00:00:40,519 Speaker 1: was assassinated. So I'm hoping that my beautiful tan will 13 00:00:40,560 --> 00:00:42,720 Speaker 1: not be followed by an assassination. It's not going to 14 00:00:42,800 --> 00:00:46,440 Speaker 1: be writing around in any convertibles without rooftops anytime soon 15 00:00:46,520 --> 00:00:50,279 Speaker 1: in Deely Plaza. But we have got all sorts of 16 00:00:50,400 --> 00:00:55,240 Speaker 1: chaos to dive into with you. And as I know 17 00:00:55,360 --> 00:00:59,920 Speaker 1: Buck was addressing yesterday right in the final hour when 18 00:01:00,160 --> 00:01:04,760 Speaker 1: the Donald Trump versus Elon Musk fireworks started, I have 19 00:01:04,880 --> 00:01:10,560 Speaker 1: got deep dive psychological analysis also some humor that I 20 00:01:10,640 --> 00:01:13,440 Speaker 1: hope to pepper with all of you as we roll 21 00:01:13,520 --> 00:01:15,680 Speaker 1: through the Friday edition of the program here and head 22 00:01:15,720 --> 00:01:19,120 Speaker 1: you into the weekend. A little bit of housekeeping. Newt 23 00:01:19,120 --> 00:01:21,720 Speaker 1: Gingrich will be with us in the third hour, and 24 00:01:21,880 --> 00:01:25,240 Speaker 1: OutKick reporter dan Zak Sheesky is scheduled to join us 25 00:01:25,240 --> 00:01:28,039 Speaker 1: in the second hour, and certainly we will take your 26 00:01:28,040 --> 00:01:31,200 Speaker 1: calls and your reactions to everything that is going on. 27 00:01:32,480 --> 00:01:35,000 Speaker 1: I met a lot of you. I have been out. 28 00:01:35,080 --> 00:01:37,920 Speaker 1: My kids got out of school on Tuesday, and so 29 00:01:38,000 --> 00:01:40,120 Speaker 1: I was on the road with them as a result, 30 00:01:40,319 --> 00:01:44,800 Speaker 1: doing dad related travel. Someone told me and I they 31 00:01:44,840 --> 00:01:46,440 Speaker 1: do think there's a lot of truth to it that 32 00:01:46,520 --> 00:01:49,040 Speaker 1: once you have kids, you no longer take vacations. You 33 00:01:49,080 --> 00:01:52,040 Speaker 1: take family trips, and that is a very different thing, 34 00:01:52,120 --> 00:01:54,680 Speaker 1: particularly when your kids are young. Although my kids are 35 00:01:54,720 --> 00:01:58,800 Speaker 1: now seventeen, fourteen, and ten, and so they are aging 36 00:01:58,960 --> 00:02:01,440 Speaker 1: up there. And so we went to amusement parks. I 37 00:02:01,440 --> 00:02:05,360 Speaker 1: think you guys played my Tom Cruise Mission Impossible analysis 38 00:02:05,440 --> 00:02:09,639 Speaker 1: last week with Buck, which was as usual. Buck doesn't 39 00:02:09,680 --> 00:02:11,560 Speaker 1: like fun things. He would have been miserable. It's a 40 00:02:11,720 --> 00:02:14,280 Speaker 1: super crowded, hot amusement park. But we went to the 41 00:02:14,320 --> 00:02:18,280 Speaker 1: new Universal Studios amusement park that opened in Orlando. Took 42 00:02:18,280 --> 00:02:21,800 Speaker 1: the boys there. Met many of you all over the place, 43 00:02:22,800 --> 00:02:25,119 Speaker 1: and then I'd never been to Atlantis and the Bahamas. 44 00:02:25,120 --> 00:02:27,160 Speaker 1: We'll have some fun talking about that maybe a little 45 00:02:27,200 --> 00:02:29,959 Speaker 1: bit later in the program. But I met a lot 46 00:02:30,080 --> 00:02:32,560 Speaker 1: of you all over the place, and I appreciate everybody 47 00:02:32,600 --> 00:02:34,639 Speaker 1: who comes up and says HI. When you were also 48 00:02:34,800 --> 00:02:37,600 Speaker 1: on your vacations, often with your own families. I was 49 00:02:37,639 --> 00:02:41,560 Speaker 1: also with Buck. We had an amazing iHeart event in 50 00:02:41,600 --> 00:02:44,200 Speaker 1: West Palm Beach for all of our advertisers. I got 51 00:02:44,200 --> 00:02:47,600 Speaker 1: to meet bucks brand new baby James for the first time. 52 00:02:47,639 --> 00:02:49,600 Speaker 1: I think there are pictures. Alley's more on top of 53 00:02:49,639 --> 00:02:53,040 Speaker 1: these things than I am on social media. I'm not 54 00:02:53,120 --> 00:02:55,440 Speaker 1: very good at taking photos. I can send messages, but 55 00:02:55,480 --> 00:02:57,520 Speaker 1: I am not a photo guy. But I believe there 56 00:02:57,520 --> 00:03:01,440 Speaker 1: are pictures up of the baby. We had an awesome time. 57 00:03:01,480 --> 00:03:03,760 Speaker 1: We met with a lot of our great advertisers over 58 00:03:03,800 --> 00:03:06,240 Speaker 1: the past several days. I am now back at home 59 00:03:06,880 --> 00:03:09,560 Speaker 1: in Nashville and looking forward by the way next week, 60 00:03:09,680 --> 00:03:14,240 Speaker 1: just texting we are set up to be meeting a 61 00:03:14,280 --> 00:03:16,840 Speaker 1: lot of people in DC next week. We're gonna be 62 00:03:16,840 --> 00:03:19,600 Speaker 1: at the Pentagon with Pete Hegseth. We're going to be 63 00:03:19,800 --> 00:03:22,919 Speaker 1: at the White House with Donald Trump. We are hopefully 64 00:03:22,960 --> 00:03:24,560 Speaker 1: going to be able to meet up with Marco Rubio 65 00:03:24,720 --> 00:03:28,440 Speaker 1: and many others. We will have quite a few senators 66 00:03:29,320 --> 00:03:33,840 Speaker 1: and representatives in our DC studios next week, so we literally, 67 00:03:34,520 --> 00:03:36,640 Speaker 1: as I set down, we are texting to get a 68 00:03:36,640 --> 00:03:39,880 Speaker 1: bunch of those details ironed out with you for all 69 00:03:39,920 --> 00:03:42,800 Speaker 1: of next week when we should have a lot of 70 00:03:43,040 --> 00:03:46,320 Speaker 1: in person guests and should be pretty fantastic. So all 71 00:03:46,360 --> 00:03:52,280 Speaker 1: that coming on the horizon. But the fallout from yesterday's 72 00:03:52,320 --> 00:03:57,960 Speaker 1: Elon Musk Donald Trump big breakup over the Big Beautiful 73 00:03:58,040 --> 00:04:02,960 Speaker 1: Bill is what is continuing to resonate all over the 74 00:04:03,480 --> 00:04:07,040 Speaker 1: political universe, all over the business universe. Basically the number 75 00:04:07,040 --> 00:04:11,800 Speaker 1: one can't miss story conflict between Elon Musk, the richest 76 00:04:11,800 --> 00:04:14,320 Speaker 1: man in the world, and Donald Trump, the most powerful 77 00:04:14,360 --> 00:04:18,799 Speaker 1: man in the world. What's my take? First, we told 78 00:04:18,839 --> 00:04:23,960 Speaker 1: you that this would likely happen because Elon Musk. I'm 79 00:04:24,000 --> 00:04:27,240 Speaker 1: going to psycho analyze these guys and explain why this 80 00:04:27,480 --> 00:04:30,159 Speaker 1: is likely to happen why. I think it also is 81 00:04:30,279 --> 00:04:36,320 Speaker 1: not indicative of a long term breach, but is I 82 00:04:36,360 --> 00:04:38,520 Speaker 1: think been building for some time, and I think there 83 00:04:38,520 --> 00:04:41,400 Speaker 1: were a lot of sort of sign posts that you 84 00:04:41,400 --> 00:04:44,000 Speaker 1: could point to. So let's start on the side of 85 00:04:44,000 --> 00:04:46,359 Speaker 1: Elon Musk, because it seems to me that he is 86 00:04:46,880 --> 00:04:51,520 Speaker 1: by far the angriest over the over the situation right now. 87 00:04:52,600 --> 00:04:57,279 Speaker 1: Elon is used to having complete and total control. He 88 00:04:57,480 --> 00:05:01,680 Speaker 1: is a dictator at every company that he runs, and 89 00:05:01,720 --> 00:05:06,480 Speaker 1: he has been a very benevolent and successful dictator at 90 00:05:06,480 --> 00:05:10,280 Speaker 1: all of those companies. They are wildly successful. I believe 91 00:05:10,360 --> 00:05:14,880 Speaker 1: that Elon Musk is the most successful capitalist who has 92 00:05:14,920 --> 00:05:17,600 Speaker 1: ever existed in the history of capitalism. I don't think 93 00:05:17,600 --> 00:05:21,520 Speaker 1: that's hyperbole when you consider what he has done with Tesla, 94 00:05:21,640 --> 00:05:24,640 Speaker 1: when you consider what he has done with SpaceX, what 95 00:05:24,760 --> 00:05:28,160 Speaker 1: he has done with Twitter, slash x, now with Xai, 96 00:05:29,000 --> 00:05:31,880 Speaker 1: what he has done with the boring company, what he 97 00:05:31,920 --> 00:05:34,240 Speaker 1: has done with I was on the golf course with 98 00:05:34,960 --> 00:05:39,039 Speaker 1: the LifeLock CEO and founder Todd Davis, and he was 99 00:05:39,080 --> 00:05:42,680 Speaker 1: talking about how impressed he is with Neuralink and what 100 00:05:42,960 --> 00:05:45,640 Speaker 1: Musk has done there, and it is receiving a small 101 00:05:45,680 --> 00:05:49,080 Speaker 1: amo amount of attention. I think Elon Musk is the 102 00:05:49,120 --> 00:05:54,320 Speaker 1: CEO basically a five different public companies simultaneously, all of 103 00:05:54,320 --> 00:05:58,799 Speaker 1: which are fabulously successful. We truly have never seen anything 104 00:05:59,080 --> 00:06:00,320 Speaker 1: like what he is been. 105 00:06:00,240 --> 00:06:00,760 Speaker 2: Able to do. 106 00:06:01,240 --> 00:06:05,839 Speaker 1: And these companies are doing things that many other people 107 00:06:05,880 --> 00:06:09,520 Speaker 1: believed were impossible. No one thought that you could replace 108 00:06:09,560 --> 00:06:14,040 Speaker 1: the internal combustion engine with electric vehicles. No one thought, 109 00:06:14,040 --> 00:06:17,240 Speaker 1: by and large, hey, it's possible to be better at 110 00:06:17,279 --> 00:06:22,400 Speaker 1: designing spaceships than NASA, even though NASA has a seventy 111 00:06:22,480 --> 00:06:27,719 Speaker 1: year headstart. What Elon Musk has done is amazing. Here's 112 00:06:27,760 --> 00:06:33,920 Speaker 1: the problem. It requires a skill set that is massively 113 00:06:34,080 --> 00:06:39,760 Speaker 1: risk taking, moves rapidly and breaks things. It is entrepreneurial 114 00:06:39,839 --> 00:06:42,960 Speaker 1: in nature. It is by and large not a management job. 115 00:06:43,839 --> 00:06:49,640 Speaker 1: Founders think and behave differently than people who are in management. 116 00:06:49,920 --> 00:06:53,920 Speaker 1: That's oftentimes why the number of founders that can transition 117 00:06:54,080 --> 00:06:57,600 Speaker 1: from creating a company to building it into a huge, 118 00:06:57,720 --> 00:07:02,599 Speaker 1: vibrant entity is ray. Because the skill set to create 119 00:07:02,680 --> 00:07:06,159 Speaker 1: something new and then the skill set to manage something 120 00:07:06,240 --> 00:07:10,520 Speaker 1: new is oftentimes very different. And so I have said, 121 00:07:10,560 --> 00:07:12,560 Speaker 1: and Buck has said on this program, we told you 122 00:07:12,600 --> 00:07:15,679 Speaker 1: this was coming, that Elon Musk was going to get 123 00:07:16,120 --> 00:07:22,360 Speaker 1: hyper frustrated over how slow government moves. I am a 124 00:07:22,560 --> 00:07:26,119 Speaker 1: penprick as successful as Elon Musk. The reason I didn't 125 00:07:26,120 --> 00:07:29,680 Speaker 1: want to practice lawful time was it moved way too 126 00:07:29,720 --> 00:07:33,520 Speaker 1: slow for me. I'm a young litigator. You pinpoint the 127 00:07:33,600 --> 00:07:37,480 Speaker 1: issues at play, you say, hey, this is what needs 128 00:07:37,520 --> 00:07:39,920 Speaker 1: to be resolved, this is what needs to be fixed. 129 00:07:40,040 --> 00:07:42,600 Speaker 1: This is the answer to the question. And then and 130 00:07:42,680 --> 00:07:45,320 Speaker 1: many of you are lawyers listening right now. It is 131 00:07:45,360 --> 00:07:50,680 Speaker 1: basically a procedural battle. As a litigator for years, and 132 00:07:50,960 --> 00:07:55,560 Speaker 1: to me, it was boring plotting. It didn't move fast enough. 133 00:07:56,000 --> 00:08:00,920 Speaker 1: I was frustrated. I am somewhat impatient. Government is that 134 00:08:01,600 --> 00:08:07,720 Speaker 1: times a thousand. So you have this uniquely talented builder 135 00:08:08,480 --> 00:08:12,040 Speaker 1: of businesses the likes of which we have never seen, 136 00:08:12,640 --> 00:08:17,680 Speaker 1: who is coming into the government. Looks around, says man, 137 00:08:17,760 --> 00:08:22,960 Speaker 1: this is being run in a shabby, unsuccessful fashion. These 138 00:08:23,000 --> 00:08:25,440 Speaker 1: are the things that need to be done. I'm going 139 00:08:25,520 --> 00:08:29,360 Speaker 1: to bring in my brilliant financial engineers. We're going to 140 00:08:29,480 --> 00:08:33,280 Speaker 1: dive into the federal government books. We're going to recognize 141 00:08:33,400 --> 00:08:36,680 Speaker 1: all of these different things that are inefficient, outdated, where 142 00:08:36,720 --> 00:08:41,000 Speaker 1: the taxpayer is not getting best value for his dollars. 143 00:08:41,760 --> 00:08:45,160 Speaker 1: And even though we recognize all these things, government is 144 00:08:45,200 --> 00:08:49,439 Speaker 1: going to move slowly to address them. And in the meantime, 145 00:08:49,520 --> 00:08:52,640 Speaker 1: I'm going to get ripped to the high heavens because 146 00:08:52,920 --> 00:08:57,600 Speaker 1: I am disrupting government and all of the businesses that 147 00:08:57,679 --> 00:09:01,080 Speaker 1: I have created. I'm talking for evil On are going 148 00:09:01,120 --> 00:09:03,920 Speaker 1: to suddenly become persona non grada. 149 00:09:04,120 --> 00:09:06,280 Speaker 2: I mean, we had left wingers. 150 00:09:06,280 --> 00:09:11,800 Speaker 1: Firebombing electric vehicles because they were angry that Elon Musk 151 00:09:11,880 --> 00:09:14,959 Speaker 1: was trying to bring more financial discipline to the government. 152 00:09:16,320 --> 00:09:19,600 Speaker 1: And so I think Elon was terribly frustrated. Remember he 153 00:09:19,640 --> 00:09:23,840 Speaker 1: said he wanted to erase around two trillion dollars in spending. 154 00:09:24,520 --> 00:09:26,160 Speaker 1: It looks like the number is going to end up 155 00:09:26,200 --> 00:09:29,880 Speaker 1: being around one hundred and sixty billion dollars. I don't 156 00:09:29,920 --> 00:09:33,280 Speaker 1: think he was able to accomplish what he wanted to 157 00:09:33,720 --> 00:09:36,319 Speaker 1: and what he probably should have been able to accomplish 158 00:09:36,760 --> 00:09:39,680 Speaker 1: if he had the same power that he has as 159 00:09:39,720 --> 00:09:42,400 Speaker 1: the leader of all his companies. And so I think 160 00:09:42,760 --> 00:09:47,200 Speaker 1: his anger had been building for some time. And then 161 00:09:47,400 --> 00:09:51,520 Speaker 1: Trump yesterday in the Oval Office, said, Hey, I basically 162 00:09:51,559 --> 00:09:55,360 Speaker 1: I'm paraphrasing appreciate what Elon was going to do, but 163 00:09:55,520 --> 00:09:58,720 Speaker 1: we would have won the election even without his involvement. 164 00:10:00,240 --> 00:10:01,240 Speaker 2: Argue that or not. 165 00:10:02,720 --> 00:10:07,520 Speaker 1: And Elon decided that that was ungrateful. And you combine 166 00:10:07,520 --> 00:10:10,480 Speaker 1: it with the fact that Trump had not decided to 167 00:10:10,600 --> 00:10:13,320 Speaker 1: elevate the guy that he wanted to be in charge, 168 00:10:13,400 --> 00:10:17,720 Speaker 1: Elon of NASA. And you also add up that he 169 00:10:17,880 --> 00:10:21,240 Speaker 1: was frustrated over some of the AI decisions that were 170 00:10:21,280 --> 00:10:26,400 Speaker 1: being made by Trump, and all of those compounding frustrations 171 00:10:27,400 --> 00:10:34,040 Speaker 1: led to Elon going off yesterday on Twitter. And my 172 00:10:34,240 --> 00:10:38,160 Speaker 1: thoughts on social media in general are it could be 173 00:10:38,200 --> 00:10:40,680 Speaker 1: both the best and the worst thing, because what it 174 00:10:40,760 --> 00:10:44,520 Speaker 1: does give you is a direct view into the emotions 175 00:10:44,559 --> 00:10:47,600 Speaker 1: of the moment. But the emotions of the moment aren't 176 00:10:47,640 --> 00:10:50,080 Speaker 1: always the healthiest. And I'm going to go old school 177 00:10:50,120 --> 00:10:55,040 Speaker 1: here legitimately and tell you an example. Abraham Lincoln, when 178 00:10:55,080 --> 00:10:58,920 Speaker 1: he was president, would get so frustrated that he would 179 00:10:58,920 --> 00:11:05,760 Speaker 1: write entire angry letters to subordinates. He would then wait 180 00:11:05,880 --> 00:11:09,760 Speaker 1: twenty four hours before he would send the letter. Now, 181 00:11:10,480 --> 00:11:14,720 Speaker 1: letter by mail is very different than tweets, but Lincoln 182 00:11:14,880 --> 00:11:18,600 Speaker 1: understood that the passions of the moment and the way 183 00:11:18,679 --> 00:11:21,440 Speaker 1: he felt as he wrote the article, as he wrote 184 00:11:21,480 --> 00:11:25,440 Speaker 1: his letter might not exist twenty four hours from now. 185 00:11:25,440 --> 00:11:29,520 Speaker 1: It's a brilliant strategy. Put it in your desk, wait 186 00:11:29,559 --> 00:11:33,319 Speaker 1: twenty four hours, reread it. He would then decide, oftentimes 187 00:11:33,360 --> 00:11:36,760 Speaker 1: whether he wanted that letter sent to his subordinates. Most 188 00:11:36,800 --> 00:11:39,839 Speaker 1: of the time, he said he did not. The cathartic 189 00:11:39,920 --> 00:11:43,520 Speaker 1: nature of writing the letter allowed for his anger to 190 00:11:43,840 --> 00:11:49,320 Speaker 1: be expressed and for it to then diminish. I have 191 00:11:49,440 --> 00:11:54,880 Speaker 1: said for some time, imagine what tweets would be sent 192 00:11:55,520 --> 00:11:59,440 Speaker 1: if there were a twenty four hour waiting period before 193 00:11:59,520 --> 00:12:03,160 Speaker 1: the tweet could be sent. Same thing could be said 194 00:12:03,200 --> 00:12:05,800 Speaker 1: for you if you don't tweet for the text that 195 00:12:05,880 --> 00:12:09,520 Speaker 1: you send. What if you could only send ten texts 196 00:12:09,600 --> 00:12:12,800 Speaker 1: in a week. You would make sure that they were really, 197 00:12:12,840 --> 00:12:15,160 Speaker 1: really well crafted. You would also make sure that they 198 00:12:15,200 --> 00:12:20,200 Speaker 1: weren't particularly emotional. My wife says that I don't have 199 00:12:20,280 --> 00:12:23,960 Speaker 1: to worry about any of this because the reason why 200 00:12:24,040 --> 00:12:27,760 Speaker 1: I will never need any form of fipy is because 201 00:12:27,800 --> 00:12:29,959 Speaker 1: I have the unique job where I get to sit 202 00:12:30,040 --> 00:12:34,280 Speaker 1: down on live radio every single day, tell you guys 203 00:12:34,480 --> 00:12:37,880 Speaker 1: every single word I think, and then when I'm done 204 00:12:37,920 --> 00:12:41,000 Speaker 1: after three hours, I have no weight on my shoulders 205 00:12:41,000 --> 00:12:41,360 Speaker 1: at all. 206 00:12:42,440 --> 00:12:44,720 Speaker 2: I just step right out of the radio studio. 207 00:12:45,200 --> 00:12:47,800 Speaker 1: My therapy is I said exactly what I wanted to 208 00:12:47,840 --> 00:12:50,480 Speaker 1: say for three hours. Everybody out there could hear it. 209 00:12:50,559 --> 00:12:52,280 Speaker 1: You could like it, you could not like it. I 210 00:12:52,320 --> 00:12:54,040 Speaker 1: got no weight on my shoulders. There's a lot of 211 00:12:54,080 --> 00:12:57,680 Speaker 1: truth to that. I think this had been building for 212 00:12:57,720 --> 00:13:00,240 Speaker 1: a long time with Elon. I think it was a 213 00:13:00,240 --> 00:13:04,720 Speaker 1: mountain of frustration. I think that yesterday that was the 214 00:13:04,760 --> 00:13:07,960 Speaker 1: tipping point. It wasn't any one thing, as most issues 215 00:13:08,000 --> 00:13:09,760 Speaker 1: are when people lose their temper. 216 00:13:10,120 --> 00:13:12,880 Speaker 2: It was a hey, this happened, then this happened, then 217 00:13:12,920 --> 00:13:14,920 Speaker 2: this happened. And if you are a founder, if you 218 00:13:14,960 --> 00:13:16,440 Speaker 2: are an entrepreneur, you know. 219 00:13:16,400 --> 00:13:19,319 Speaker 1: That feeling where you wake up and you don't control 220 00:13:19,360 --> 00:13:21,599 Speaker 1: your day and basically people just put. If you're a 221 00:13:21,600 --> 00:13:26,280 Speaker 1: small business owner, twenty different things pile up, all of 222 00:13:26,320 --> 00:13:30,760 Speaker 1: which you have to manage because it's your responsibility. Elon 223 00:13:30,880 --> 00:13:33,760 Speaker 1: has been able to bear an immense amount of weight. 224 00:13:33,920 --> 00:13:37,400 Speaker 1: I think the NASA decision by Trump, I think the 225 00:13:37,440 --> 00:13:42,160 Speaker 1: AI machinations, I think all of the pressure that has 226 00:13:42,200 --> 00:13:44,600 Speaker 1: been brought to bear by the media. I think it 227 00:13:44,679 --> 00:13:47,520 Speaker 1: finally just exploded. And I think he does not have 228 00:13:47,679 --> 00:13:51,120 Speaker 1: elon great impulse control. This is one reason perhaps he 229 00:13:51,240 --> 00:13:55,880 Speaker 1: might have fourteen different children by seven different women. There 230 00:13:55,880 --> 00:13:58,760 Speaker 1: are goods and bads of many different aspects of life. 231 00:14:00,200 --> 00:14:03,280 Speaker 1: As I said, the greatest capitalist who's ever existed, may 232 00:14:03,320 --> 00:14:06,480 Speaker 1: not have the greatest impulse control ever, and so he 233 00:14:06,520 --> 00:14:11,200 Speaker 1: got angry and he decided to fire away at Trump. 234 00:14:11,559 --> 00:14:16,760 Speaker 1: I actually think Trump has been remarkably fairly restrained in 235 00:14:16,840 --> 00:14:21,440 Speaker 1: his response to Elon, because I think Elon is more 236 00:14:21,480 --> 00:14:25,320 Speaker 1: emotional than Trump is. I think Elon is more frustrated. 237 00:14:25,640 --> 00:14:27,920 Speaker 1: We come back. I'll give you my thesis here on Trump, 238 00:14:28,000 --> 00:14:30,160 Speaker 1: because these guys overlap and have a lot in common, 239 00:14:30,160 --> 00:14:32,880 Speaker 1: and I think it's why they got along. But really, 240 00:14:33,000 --> 00:14:35,880 Speaker 1: even though Trump is also an entrepreneur, Trump is a 241 00:14:35,880 --> 00:14:39,880 Speaker 1: different kind of entrepreneur. Elon is a founder. You go 242 00:14:40,000 --> 00:14:43,120 Speaker 1: out and you create something that ever existed before. Trump 243 00:14:43,160 --> 00:14:47,280 Speaker 1: is a builder in order to get buildings built, as 244 00:14:47,360 --> 00:14:49,320 Speaker 1: any of you out there that have ever been involved 245 00:14:49,320 --> 00:14:52,960 Speaker 1: in real estate, No, it is a monster of an issue, 246 00:14:53,240 --> 00:14:58,240 Speaker 1: zoning regulations, political pressures. Getting a building built in a 247 00:14:58,360 --> 00:15:02,440 Speaker 1: city is like being a politician than it is a founder. 248 00:15:02,480 --> 00:15:04,600 Speaker 1: You gotta shake hands, you got to deal with unions, 249 00:15:04,920 --> 00:15:07,360 Speaker 1: you have to deal with local government, you might have 250 00:15:07,400 --> 00:15:09,560 Speaker 1: to deal with state government. You might even have to 251 00:15:09,560 --> 00:15:12,720 Speaker 1: deal with federal government depending on the size of your project. 252 00:15:13,520 --> 00:15:16,760 Speaker 1: That is a different skill set and it's more similar 253 00:15:16,800 --> 00:15:21,680 Speaker 1: to what a politician does. Trump is uniquely skilled at 254 00:15:21,880 --> 00:15:24,440 Speaker 1: making everyone that he meets feel like they are the 255 00:15:24,440 --> 00:15:27,720 Speaker 1: most important person in the room. That is not Elon's 256 00:15:27,720 --> 00:15:32,240 Speaker 1: skill set. So this implosion, which I think was built 257 00:15:32,480 --> 00:15:35,600 Speaker 1: up by the anger that Elon felt over not having 258 00:15:35,640 --> 00:15:38,440 Speaker 1: the same control over the government that he has over 259 00:15:38,480 --> 00:15:42,200 Speaker 1: his companies, felt to me like it was inevitable. The 260 00:15:42,240 --> 00:15:44,760 Speaker 1: fact that Elon and Trump worked together for as long 261 00:15:44,800 --> 00:15:48,080 Speaker 1: as they could is important, and it was a tremendous success. 262 00:15:48,200 --> 00:15:50,440 Speaker 1: I hope that they can continue to work together in 263 00:15:50,480 --> 00:15:54,800 Speaker 1: the future. But remember, Elon voted for Hillary Clinton in 264 00:15:54,840 --> 00:15:58,400 Speaker 1: twenty sixteen, he voted for Joe Biden in twenty twenty. 265 00:15:58,600 --> 00:16:02,200 Speaker 1: He did not endorse Trump until July of twenty twenty four. 266 00:16:02,760 --> 00:16:05,640 Speaker 1: I think Elon is the most fabulously successful capitalist of 267 00:16:05,680 --> 00:16:08,880 Speaker 1: all time. I'm not sure that his political instincts are 268 00:16:08,920 --> 00:16:12,320 Speaker 1: as finely tuned, and I don't say that as an insult. 269 00:16:12,360 --> 00:16:15,320 Speaker 1: I think he's worked his way towards a smart position. 270 00:16:15,400 --> 00:16:19,040 Speaker 1: I think his buying X was probably the most important 271 00:16:19,040 --> 00:16:22,280 Speaker 1: thing for the full flourishment of the marketplace of ideas 272 00:16:22,520 --> 00:16:26,600 Speaker 1: that maybe has happened in my entire life. But I 273 00:16:26,640 --> 00:16:31,720 Speaker 1: also think he's susceptible to anger. Twitter is an emotional medium, 274 00:16:31,960 --> 00:16:36,360 Speaker 1: and yesterday Elon just snapped. I think today he probably thinks, Hey, 275 00:16:36,640 --> 00:16:38,840 Speaker 1: maybe I wish I hadn't sent some of the things 276 00:16:38,840 --> 00:16:42,560 Speaker 1: that I sent yesterday. Eight We will take your calls. 277 00:16:42,600 --> 00:16:45,160 Speaker 1: By the way, you guys can react. Tell me whether 278 00:16:45,240 --> 00:16:48,000 Speaker 1: or not you buy into this. But I'll break down 279 00:16:48,000 --> 00:16:50,239 Speaker 1: this a little bit more because I do think it's consequential. 280 00:16:50,320 --> 00:16:53,080 Speaker 1: I think it's significant. A lot of people focused on 281 00:16:53,160 --> 00:16:56,280 Speaker 1: the Epstein sudden tweet. I'll tell you why I don't 282 00:16:56,320 --> 00:16:59,480 Speaker 1: buy that and why I think that is totally a 283 00:16:59,520 --> 00:17:03,480 Speaker 1: sham that idea in general. But I also want to 284 00:17:03,520 --> 00:17:06,119 Speaker 1: tell you in the meantime, maybe you do like to 285 00:17:06,119 --> 00:17:09,440 Speaker 1: communicate through cell phones. We all pretty much do. I'm 286 00:17:09,480 --> 00:17:12,320 Speaker 1: reading from a cell phone right now. Thanks to pure Talk. 287 00:17:12,400 --> 00:17:14,639 Speaker 1: I'm able to communicate with my seventeen year old and 288 00:17:14,680 --> 00:17:17,360 Speaker 1: my fourteen year old sons all the time because they 289 00:17:17,359 --> 00:17:21,320 Speaker 1: have pure Talk phones and they save an absolute bundle 290 00:17:21,480 --> 00:17:23,840 Speaker 1: for you. But they also stand up for what's right. 291 00:17:24,000 --> 00:17:27,040 Speaker 1: Eighty one years since the D Day Invasion turned the 292 00:17:27,080 --> 00:17:30,240 Speaker 1: tide of World War II. This month, our sponsor pure Talk, 293 00:17:30,359 --> 00:17:33,400 Speaker 1: founded by a veteran giving away one thousand American flags 294 00:17:33,400 --> 00:17:36,359 Speaker 1: to military veterans to thank them for their service, to 295 00:17:36,440 --> 00:17:39,879 Speaker 1: show gratitude. A version of the flag made here in 296 00:17:39,960 --> 00:17:43,920 Speaker 1: America by Allegiance Flags. Pure Talk believes every service member 297 00:17:44,000 --> 00:17:47,719 Speaker 1: who's faithfully served this country deserves to proudly fly an 298 00:17:47,760 --> 00:17:51,280 Speaker 1: American flag, one made in America. 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All you have to do 307 00:18:15,640 --> 00:18:18,600 Speaker 1: can keep the same phone, even keep the same phone number. 308 00:18:18,760 --> 00:18:21,760 Speaker 1: Just dial pound two five zero, say Clay and Buck. 309 00:18:22,400 --> 00:18:25,320 Speaker 1: Pure talks US customer service will get you switched in 310 00:18:25,359 --> 00:18:28,960 Speaker 1: as little as ten minutes. Again, that's pound two five zero, 311 00:18:29,119 --> 00:18:32,080 Speaker 1: say Clay and Buck. To support veterans and to switch 312 00:18:32,359 --> 00:18:36,399 Speaker 1: to America's wireless company, Puretalk. That's pound two five zero, 313 00:18:36,560 --> 00:18:47,440 Speaker 1: say Clay and Buck. Fired up about the Trump Musk 314 00:18:47,600 --> 00:18:50,600 Speaker 1: blow up yesterday afternoon that happened, that obviously is the 315 00:18:50,680 --> 00:18:52,840 Speaker 1: talk of the town. You can weigh in eight hundred 316 00:18:52,880 --> 00:18:55,959 Speaker 1: and two A two two eight eight two uh if 317 00:18:56,040 --> 00:18:58,720 Speaker 1: you would like to weigh in on your thoughts on 318 00:18:58,880 --> 00:19:05,800 Speaker 1: this ridictkelessness. But I laid out why I anticipated that 319 00:19:05,920 --> 00:19:09,480 Speaker 1: Musk would get upset at some point at the slow 320 00:19:09,560 --> 00:19:14,280 Speaker 1: pace of government, based on his history as a founder 321 00:19:14,440 --> 00:19:17,320 Speaker 1: and as a CEO who is able to move fast 322 00:19:17,359 --> 00:19:21,720 Speaker 1: and break things, which many people out there who found 323 00:19:21,800 --> 00:19:26,280 Speaker 1: businesses have that mindset. I discovered that I am not 324 00:19:26,320 --> 00:19:30,240 Speaker 1: a very good employee for long term process. I'm pretty 325 00:19:30,240 --> 00:19:32,840 Speaker 1: good here because I have a fabulous boss, Julie Talbot, 326 00:19:32,880 --> 00:19:36,119 Speaker 1: and she just says, hey, you and Buck go have 327 00:19:36,200 --> 00:19:40,919 Speaker 1: the best radio show possible, doesn't micro manage us. She 328 00:19:41,040 --> 00:19:44,840 Speaker 1: has our back. That's fabulous, actually rare. A lot of 329 00:19:44,880 --> 00:19:47,040 Speaker 1: you probably have had some good bosses. Some of you 330 00:19:47,080 --> 00:19:49,960 Speaker 1: probably have had awful bosses. I think Musk wants to 331 00:19:50,000 --> 00:19:52,399 Speaker 1: be the boss in everything, and I don't think that 332 00:19:52,520 --> 00:19:55,720 Speaker 1: he is happy when he's not able to make decisions 333 00:19:55,720 --> 00:19:58,360 Speaker 1: that he sees as in the best interest of his company. 334 00:19:58,720 --> 00:20:02,600 Speaker 1: And I think he treated the United States government like 335 00:20:02,680 --> 00:20:05,360 Speaker 1: a company that he was in charge of. The problem 336 00:20:05,480 --> 00:20:08,280 Speaker 1: is there's a lot of stakeholders in the United States government, 337 00:20:08,600 --> 00:20:11,280 Speaker 1: and Musk could not do for the United States government 338 00:20:11,640 --> 00:20:15,399 Speaker 1: what he believed was necessary in order to create the 339 00:20:15,440 --> 00:20:18,720 Speaker 1: best version of the US government as he could do 340 00:20:19,160 --> 00:20:23,040 Speaker 1: with the companies that he has founded now, and as 341 00:20:23,040 --> 00:20:25,040 Speaker 1: a result, I think he just had a tempered hantrum. 342 00:20:25,119 --> 00:20:28,040 Speaker 1: I think he lashed out now. I also think there 343 00:20:28,080 --> 00:20:33,520 Speaker 1: are elements of this. Probably this is me psychoanalyzing, where 344 00:20:33,680 --> 00:20:39,560 Speaker 1: Musk is putting so much responsibility on himself that he 345 00:20:39,600 --> 00:20:44,560 Speaker 1: probably isn't sleeping very much. He probably isn't eating consistently 346 00:20:44,640 --> 00:20:48,639 Speaker 1: healthy meals. He is working all the time at all hours, 347 00:20:49,119 --> 00:20:53,560 Speaker 1: and so what otherwise might have been a road bump, 348 00:20:53,680 --> 00:20:58,400 Speaker 1: something that irritated him somewhat built to the point where 349 00:20:58,400 --> 00:21:01,360 Speaker 1: he felt compelled to lash out well as extensively as 350 00:21:01,359 --> 00:21:04,520 Speaker 1: he did on social media, which I believe Musk is 351 00:21:04,640 --> 00:21:08,919 Speaker 1: using Twitter in many ways as his therapy, as his 352 00:21:09,240 --> 00:21:13,040 Speaker 1: opportunity to vent and release rage that otherwise has built 353 00:21:13,080 --> 00:21:16,359 Speaker 1: up inside him. I think Trump sometimes does that, But 354 00:21:16,440 --> 00:21:20,320 Speaker 1: again I think because Trump has built buildings, his entrepreneurial 355 00:21:20,359 --> 00:21:23,639 Speaker 1: mindset is much different in order to build something that 356 00:21:23,760 --> 00:21:28,240 Speaker 1: is actually a physical structure, you can't be at the 357 00:21:28,240 --> 00:21:31,160 Speaker 1: same kind. I don't think of dictator that Elon Musk 358 00:21:31,160 --> 00:21:34,040 Speaker 1: has been for his companies, just based on the regulations, 359 00:21:34,400 --> 00:21:37,240 Speaker 1: based on the unions, based on all of the different 360 00:21:37,240 --> 00:21:40,520 Speaker 1: things that you have to go through to get approval 361 00:21:40,600 --> 00:21:43,600 Speaker 1: to be able to do that. Now, all that in mind, 362 00:21:44,800 --> 00:21:47,760 Speaker 1: I think Musk crossed the line when suddenly he said 363 00:21:47,800 --> 00:21:50,960 Speaker 1: the reason the Epstein files haven't been released, and I'm paraphrasing, 364 00:21:51,400 --> 00:21:56,040 Speaker 1: is because Trump is named in them. I don't believe 365 00:21:56,080 --> 00:21:59,080 Speaker 1: this to be remotely true, and I just don't think 366 00:21:59,119 --> 00:22:01,320 Speaker 1: it adds up. Lodge he might be named in him 367 00:22:01,320 --> 00:22:04,080 Speaker 1: because Epstein lived in New York City and he knew 368 00:22:04,119 --> 00:22:07,679 Speaker 1: everybody who's rich and famous in the entire city. Do 369 00:22:07,760 --> 00:22:12,160 Speaker 1: you really believe that if Trump had done something that 370 00:22:12,280 --> 00:22:16,200 Speaker 1: was considered to be criminal in nature by the United 371 00:22:16,200 --> 00:22:19,879 Speaker 1: States in any way, that Democrats wouldn't have used that 372 00:22:19,920 --> 00:22:22,720 Speaker 1: against Trump at any point in the last decade. 373 00:22:22,800 --> 00:22:23,719 Speaker 2: It just doesn't add up. 374 00:22:24,359 --> 00:22:27,520 Speaker 1: They've tried to bankrupt him, they've tried to imprison him 375 00:22:27,520 --> 00:22:30,720 Speaker 1: for life, they've tried to kill him. They have done 376 00:22:30,840 --> 00:22:34,280 Speaker 1: everything in their power to stop Trump from being able 377 00:22:34,320 --> 00:22:37,639 Speaker 1: to be president of the United States. And you think 378 00:22:38,040 --> 00:22:41,920 Speaker 1: they had a scarlet letter that connected Trump to Epstein 379 00:22:42,760 --> 00:22:46,040 Speaker 1: and was criminal in nature based on what Trump did, 380 00:22:46,560 --> 00:22:49,760 Speaker 1: and they just decided to argue that he mishandled classified 381 00:22:49,800 --> 00:22:53,240 Speaker 1: documents instead of that. They had pardon the pun the 382 00:22:53,359 --> 00:22:57,159 Speaker 1: ultimate Trump card that would put Trump away forever, and 383 00:22:57,200 --> 00:23:01,280 Speaker 1: they didn't use it. Instead, they manufactured the Steele dossier 384 00:23:01,800 --> 00:23:05,760 Speaker 1: and claimed falsely that Trump was engaged in Russia collusion. 385 00:23:06,480 --> 00:23:09,560 Speaker 1: And they had a smoking gun, a Trump card as 386 00:23:09,600 --> 00:23:12,240 Speaker 1: it were, inside of the Epstein files for the last 387 00:23:12,280 --> 00:23:14,800 Speaker 1: decade that all they had to do to put Donald 388 00:23:14,840 --> 00:23:17,680 Speaker 1: Trump in prison was pull out and play on the 389 00:23:17,800 --> 00:23:20,560 Speaker 1: on the on the out of the deck. And you 390 00:23:20,560 --> 00:23:22,399 Speaker 1: think they just decided, hey, we're not going to do that. 391 00:23:22,680 --> 00:23:26,400 Speaker 1: It's it doesn't add up. I think it's not true. 392 00:23:26,560 --> 00:23:31,480 Speaker 1: And I think the sad reality is that much of 393 00:23:31,520 --> 00:23:35,280 Speaker 1: the Epstein evidence, this is my opinion, is vanished. 394 00:23:36,840 --> 00:23:37,199 Speaker 2: Okay. 395 00:23:37,640 --> 00:23:43,159 Speaker 1: I think that Epstein was probably a intelligence agent. I 396 00:23:43,160 --> 00:23:45,560 Speaker 1: think that he caught a lot of men. It's a 397 00:23:45,640 --> 00:23:48,520 Speaker 1: high percentage of men that are interested in young pretty 398 00:23:48,560 --> 00:23:53,239 Speaker 1: girls and having access to young pretty girls, and I 399 00:23:53,240 --> 00:23:58,080 Speaker 1: think he used that sometimes to manipulate business relationships Epstein 400 00:23:58,119 --> 00:24:02,040 Speaker 1: did in his favor, and I think that's why he 401 00:24:02,119 --> 00:24:05,399 Speaker 1: got the preferential treatment that he did. But there have 402 00:24:05,520 --> 00:24:10,000 Speaker 1: been many men named, many of them who basically did nothing, 403 00:24:10,040 --> 00:24:13,320 Speaker 1: it appears, other than fly on Epstein's private jet or 404 00:24:13,359 --> 00:24:17,960 Speaker 1: even engage in business transactions with him for their association 405 00:24:18,119 --> 00:24:21,680 Speaker 1: to Epstein. And you're telling me that if Trump had 406 00:24:21,720 --> 00:24:28,440 Speaker 1: substantial connections to Epstein, that they were hidden, and Democrats said, no, no, no, 407 00:24:28,680 --> 00:24:32,640 Speaker 1: We're not going to focus on Trump and Epstein. Instead, 408 00:24:32,680 --> 00:24:35,719 Speaker 1: we're going to argue that he kept classified documents at 409 00:24:35,760 --> 00:24:39,280 Speaker 1: mar A Lago, and we're going to argue that he 410 00:24:39,400 --> 00:24:45,320 Speaker 1: got too favorable of loan treatments for the properties that 411 00:24:45,359 --> 00:24:47,920 Speaker 1: he owned in New York and the big investment bank 412 00:24:47,960 --> 00:24:51,439 Speaker 1: negotiations that he did. And also we're going to argue 413 00:24:51,440 --> 00:24:54,360 Speaker 1: that he had sex with a porn star and paid 414 00:24:54,440 --> 00:24:57,720 Speaker 1: her money, and that somehow rigged the twenty sixteen election, 415 00:24:57,840 --> 00:24:59,879 Speaker 1: and that he's buddies with Vladimir Putin. You think that 416 00:25:00,080 --> 00:25:04,520 Speaker 1: Democrats drew the line at associating Trump with Epstein, I 417 00:25:04,560 --> 00:25:07,520 Speaker 1: just don't think that makes sense. I think Elon knows 418 00:25:08,040 --> 00:25:11,520 Speaker 1: that that is among the most savage accusations that he 419 00:25:11,560 --> 00:25:14,119 Speaker 1: could make to a segment of the MAGA base that 420 00:25:14,240 --> 00:25:17,600 Speaker 1: is obsessed with Epstein and keeps thinking, Oh, we're going 421 00:25:17,680 --> 00:25:23,560 Speaker 1: to get some amazing revelation from the Epstein files, and instead, 422 00:25:24,720 --> 00:25:28,400 Speaker 1: when they've given new information about the Epstein related files, 423 00:25:28,440 --> 00:25:32,200 Speaker 1: it's mostly mostly blown up. In the Trump administration's phase, 424 00:25:32,800 --> 00:25:36,200 Speaker 1: I mean, Pam BONDI had a bunch of people in 425 00:25:36,240 --> 00:25:39,800 Speaker 1: for a White House meeting, gave them new information, and 426 00:25:39,840 --> 00:25:43,200 Speaker 1: it basically was not that valuable. Now, look, I trust 427 00:25:43,280 --> 00:25:46,320 Speaker 1: Dan Bongino, I trust Cash Betel. I think if they're 428 00:25:46,400 --> 00:25:48,760 Speaker 1: at the FBI, if there is some sort of major 429 00:25:48,840 --> 00:25:51,320 Speaker 1: revelation that still is out there about the Epstein files, 430 00:25:51,320 --> 00:25:53,480 Speaker 1: I think they'll put it out. I just don't buy 431 00:25:53,480 --> 00:25:56,960 Speaker 1: that it exists in a substantial way, and I certainly 432 00:25:57,040 --> 00:26:01,040 Speaker 1: don't buy that somehow it implicates Trump. I think that 433 00:26:01,520 --> 00:26:06,560 Speaker 1: Elon knows that that's catnip and impossible to avoid and 434 00:26:06,680 --> 00:26:10,760 Speaker 1: among the most salacious accusations that he could make, and 435 00:26:11,200 --> 00:26:14,199 Speaker 1: that's the reason that he went in that direction. I 436 00:26:14,240 --> 00:26:18,280 Speaker 1: think that Trump has actually responded in the Elon fracas 437 00:26:18,880 --> 00:26:22,320 Speaker 1: as the adult in the room candidly, which is not 438 00:26:22,359 --> 00:26:25,280 Speaker 1: always what you in desipate Trump doing, but I think 439 00:26:25,280 --> 00:26:28,720 Speaker 1: he has a great deal of like for Elon. 440 00:26:29,280 --> 00:26:30,960 Speaker 2: And I'm gonna be honest with you. 441 00:26:31,040 --> 00:26:36,920 Speaker 1: I think Trump sees Elon as childlike and a kid. 442 00:26:37,720 --> 00:26:39,840 Speaker 1: And we have talked about this with you, Buck and 443 00:26:39,880 --> 00:26:42,520 Speaker 1: I have I every time I've met Trump, and I've 444 00:26:42,520 --> 00:26:46,280 Speaker 1: interviewed Trump eleven times. Now I am basically the same 445 00:26:46,280 --> 00:26:50,160 Speaker 1: age as his kids. I'm telling you Trump is almost 446 00:26:50,200 --> 00:26:51,920 Speaker 1: eighty years old. I think he just had a seventy 447 00:26:52,000 --> 00:26:56,359 Speaker 1: ninth birthday. He sees people around my age as his kids. 448 00:26:56,840 --> 00:27:00,800 Speaker 1: Trump has always and and and as a grandfather and 449 00:27:00,960 --> 00:27:05,399 Speaker 1: fatherly type figure. I think he sees Trump as a kid. 450 00:27:05,680 --> 00:27:08,680 Speaker 1: Thinks that there is a childlike glee in Elon which 451 00:27:08,760 --> 00:27:15,359 Speaker 1: Trump likes and respects, but also recognizes that in pushing 452 00:27:15,480 --> 00:27:20,160 Speaker 1: himself so far as Elon has, that there are consequences 453 00:27:20,200 --> 00:27:20,960 Speaker 1: with that behavior. 454 00:27:21,960 --> 00:27:23,359 Speaker 2: And I think Elon would even say it. 455 00:27:24,359 --> 00:27:27,280 Speaker 1: You don't decide that you're better at sending rockets to 456 00:27:28,119 --> 00:27:31,359 Speaker 1: the moon than NASA, and that you're going to redesign 457 00:27:31,400 --> 00:27:35,959 Speaker 1: the internal combustion engine, the effort and energy that that takes, 458 00:27:36,560 --> 00:27:43,280 Speaker 1: there's consequences elsewhere. I think again, Elon is an autistic genius. 459 00:27:43,640 --> 00:27:47,600 Speaker 1: It allows him to focus in a way that regular 460 00:27:47,720 --> 00:27:51,520 Speaker 1: humans cannot, but it also allows him to miss social 461 00:27:51,680 --> 00:27:57,680 Speaker 1: cues that regular humans would not. And it is very 462 00:27:57,800 --> 00:28:02,479 Speaker 1: rare in my experience that when someone has great talent 463 00:28:02,680 --> 00:28:08,240 Speaker 1: in one particular arena, it is spread evenly everywhere. And 464 00:28:08,280 --> 00:28:11,640 Speaker 1: this is kind of the way you think about from athletes, right, 465 00:28:12,200 --> 00:28:16,400 Speaker 1: how often in your high school was the best athlete 466 00:28:16,920 --> 00:28:22,360 Speaker 1: also the best student, and also the best looking and 467 00:28:22,560 --> 00:28:27,000 Speaker 1: also the kindest? Right in baseball they talk about five 468 00:28:27,080 --> 00:28:30,520 Speaker 1: tool players because it's so rare to be excellent at everything. 469 00:28:31,080 --> 00:28:33,520 Speaker 1: You don't have to be an expert in Silicon Valley 470 00:28:33,560 --> 00:28:37,719 Speaker 1: geopolitics to analyze Elon Musk. Just go to your own 471 00:28:37,800 --> 00:28:41,320 Speaker 1: high school. How often was the smartest person, also the 472 00:28:41,320 --> 00:28:44,680 Speaker 1: best athlete, and also the kindest, the most honest, the 473 00:28:44,680 --> 00:28:50,840 Speaker 1: most reliable. Usually, extreme talents in any one particular area 474 00:28:51,240 --> 00:28:54,760 Speaker 1: are not accompanied with extreme talents in other places. Some 475 00:28:54,840 --> 00:28:59,240 Speaker 1: as they are. Yeah, the prom king is also the 476 00:28:59,320 --> 00:29:03,440 Speaker 1: kindest person on the planet and the greatest athlete, But 477 00:29:03,720 --> 00:29:07,720 Speaker 1: usually that talent is not evenly distributed. Elon is off 478 00:29:07,800 --> 00:29:11,200 Speaker 1: the charts, I think when it comes to intelligence and 479 00:29:11,240 --> 00:29:14,640 Speaker 1: building companies. As I said, I think he's the greatest 480 00:29:14,680 --> 00:29:17,760 Speaker 1: capitalist who has ever lived in the history of capitalism 481 00:29:18,160 --> 00:29:22,040 Speaker 1: if you look at his accomplishments. I don't think that 482 00:29:22,160 --> 00:29:27,000 Speaker 1: he's emotionally a savant. I think he still in many 483 00:29:27,000 --> 00:29:29,680 Speaker 1: ways behaves in a childlike fashion. I think that's why 484 00:29:29,760 --> 00:29:33,320 Speaker 1: he lashed out with the temper tantrum. I think Trump 485 00:29:33,360 --> 00:29:36,200 Speaker 1: sees that. I think he wants to marshal the talents 486 00:29:36,240 --> 00:29:39,080 Speaker 1: that Elon has in the direction of making the country better. 487 00:29:39,360 --> 00:29:42,360 Speaker 1: And I actually think Trump has handled this again as 488 00:29:42,400 --> 00:29:44,960 Speaker 1: the adult in the room, and I think Elon regrets 489 00:29:45,000 --> 00:29:49,080 Speaker 1: his temper tantrum. Even by last evening he was sharing 490 00:29:49,120 --> 00:29:51,480 Speaker 1: Bill Ackman's comments like, Hey, it's better for the country 491 00:29:51,480 --> 00:29:56,560 Speaker 1: if we don't viewed. This morning, he's been sharing again 492 00:29:56,640 --> 00:29:58,600 Speaker 1: the big beautiful Bill. I'll talk a little bit about 493 00:29:58,600 --> 00:30:02,440 Speaker 1: that where I think it's gone. But I think all 494 00:30:02,480 --> 00:30:05,320 Speaker 1: of that is rooted together, and I think Elon is 495 00:30:05,440 --> 00:30:09,080 Speaker 1: ultimately frustrated that he wasn't able to have the same 496 00:30:09,200 --> 00:30:13,719 Speaker 1: level of success making the country's finances strong as he 497 00:30:13,760 --> 00:30:17,560 Speaker 1: has been in making his own businesses and their finances strong. 498 00:30:17,880 --> 00:30:19,240 Speaker 1: I'll take some of your calls, by the way, at 499 00:30:19,280 --> 00:30:21,080 Speaker 1: the end of this hour, eight hundred and two two 500 00:30:21,360 --> 00:30:25,160 Speaker 1: eight A two. You can analyze this also, and I 501 00:30:25,200 --> 00:30:27,560 Speaker 1: hope that Trump and Elon on some level can make up, 502 00:30:27,600 --> 00:30:31,000 Speaker 1: because I do think that Elon is a force for good, 503 00:30:31,480 --> 00:30:35,440 Speaker 1: given his resources, given his purchase of Twitter, and just 504 00:30:35,720 --> 00:30:39,720 Speaker 1: merely being open to the marketplace of ideas and seeing 505 00:30:39,800 --> 00:30:43,400 Speaker 1: the best possible argument, I think, and creating a business 506 00:30:43,440 --> 00:30:46,560 Speaker 1: that is based on that is a profound gift that 507 00:30:46,600 --> 00:30:49,480 Speaker 1: Elon has given to the country, and I hope that 508 00:30:49,560 --> 00:30:52,160 Speaker 1: he can use those gifts going forward in an effective 509 00:30:52,160 --> 00:30:54,600 Speaker 1: way with Trump and his administration. So that's my big 510 00:30:54,640 --> 00:30:57,000 Speaker 1: take on what we saw yesterday and where I think 511 00:30:57,000 --> 00:30:59,600 Speaker 1: it came from. If you purchase gold five years ago 512 00:30:59,720 --> 00:31:03,640 Speaker 1: smart investment price of gold then just over two thousand 513 00:31:03,680 --> 00:31:07,120 Speaker 1: dollars an ounce today, your gold now worth more than 514 00:31:07,200 --> 00:31:11,360 Speaker 1: thirty three hundred dollars. That is a sixty five percent 515 00:31:11,440 --> 00:31:14,800 Speaker 1: increase in value. Buying gold can still be a great investment, 516 00:31:14,880 --> 00:31:17,880 Speaker 1: particularly if you think, as many of us do, that 517 00:31:17,960 --> 00:31:21,000 Speaker 1: the overall value of currency is continuing to be driven 518 00:31:21,080 --> 00:31:24,200 Speaker 1: down based on the decisions being made by many people 519 00:31:24,680 --> 00:31:27,800 Speaker 1: in terms of devaluing the dollar, which we certainly saw 520 00:31:27,880 --> 00:31:31,520 Speaker 1: during the Biden administration. Gold has been the best possible 521 00:31:31,560 --> 00:31:34,640 Speaker 1: hedge against inflation for much of its history. That is 522 00:31:34,680 --> 00:31:38,440 Speaker 1: why as it exists. That's why it's existed. And diversification 523 00:31:39,040 --> 00:31:43,280 Speaker 1: is the strength of many different portfolios out there. You 524 00:31:43,600 --> 00:31:47,240 Speaker 1: could stand to benefit by having gold in your portfolio 525 00:31:47,320 --> 00:31:49,400 Speaker 1: as well, and at a minimum, you can do the 526 00:31:49,440 --> 00:31:51,560 Speaker 1: research to find out whether it makes sense for you, 527 00:31:51,640 --> 00:31:54,000 Speaker 1: and it's really easy. All you have to do is 528 00:31:54,080 --> 00:31:57,840 Speaker 1: text my name Clay to ninety eight ninety eight ninety 529 00:31:57,840 --> 00:32:02,160 Speaker 1: eight and you'll receive your free no obligation infoKit on gold. 530 00:32:02,200 --> 00:32:06,000 Speaker 1: That's my name Clay ninety eight, ninety eight, ninety eight. 531 00:32:06,320 --> 00:32:08,720 Speaker 1: You'll learn how to hold gold and silver and attack 532 00:32:08,840 --> 00:32:12,160 Speaker 1: sheltered account Birch Gold can even help you convert an 533 00:32:12,160 --> 00:32:16,120 Speaker 1: existing IRA or four oh one k into a gold Ira. 534 00:32:16,360 --> 00:32:19,080 Speaker 1: No money out of pocket. Stock market over six thousand 535 00:32:19,080 --> 00:32:22,120 Speaker 1: in the s and p earlier today. Maybe you've got 536 00:32:22,160 --> 00:32:24,040 Speaker 1: some money that you want to pull out as stocks 537 00:32:24,080 --> 00:32:27,160 Speaker 1: are nearing believe it or not, record all time highs 538 00:32:27,400 --> 00:32:30,080 Speaker 1: A plus rating with the Better Business Bureau, thousands of 539 00:32:30,160 --> 00:32:34,800 Speaker 1: thankful customers again my name Clay ninety eight, ninety eight, 540 00:32:34,960 --> 00:32:37,520 Speaker 1: ninety eight. To find out whether gold might be right 541 00:32:37,600 --> 00:32:40,120 Speaker 1: for you and if you want to go online instead, 542 00:32:40,520 --> 00:32:46,520 Speaker 1: birchgold dot com slash Clay. That's birchgold dot com slash Clay. 543 00:32:54,760 --> 00:32:56,640 Speaker 1: Hey Buck, One of my kids called me an anc 544 00:32:56,720 --> 00:32:59,880 Speaker 1: the other day and unk yep slang evidently for not 545 00:33:00,080 --> 00:33:01,440 Speaker 1: being hip, being an old dude. 546 00:33:01,520 --> 00:33:03,400 Speaker 3: So how do we ununk you? 547 00:33:03,800 --> 00:33:06,920 Speaker 1: Get more people to subscribe to our YouTube channel. At 548 00:33:07,000 --> 00:33:08,240 Speaker 1: least that's to what my kids tell me. 549 00:33:08,480 --> 00:33:11,240 Speaker 3: That's simple enough. Just search the Klay Travisen buck Sexton 550 00:33:11,280 --> 00:33:12,959 Speaker 3: Show and hit the subscribe button. 551 00:33:13,200 --> 00:33:16,040 Speaker 2: Takes less than five seconds to help ununk me. 552 00:33:16,320 --> 00:33:18,280 Speaker 3: Do it for Clay, do it for freedom, and get 553 00:33:18,320 --> 00:33:21,080 Speaker 3: great content while you're there The Klay Travison buck Sexton 554 00:33:21,120 --> 00:33:22,360 Speaker 3: Show YouTube channel. 555 00:33:22,560 --> 00:33:24,040 Speaker 2: Buckle me back with me Tuesday. 556 00:33:24,160 --> 00:33:29,360 Speaker 1: Eagerly awaiting my astrology reading also a little bit nervous. 557 00:33:29,640 --> 00:33:32,000 Speaker 1: I anthe working on it up in Rochester, New York. 558 00:33:32,080 --> 00:33:34,320 Speaker 1: She got more info about my birth or she's going 559 00:33:34,360 --> 00:33:37,080 Speaker 1: to steal my identity one of these two things. She 560 00:33:37,200 --> 00:33:39,400 Speaker 1: maybe is just the greatest con artist of all time 561 00:33:39,440 --> 00:33:41,320 Speaker 1: because she asked a lot of details about how I 562 00:33:41,400 --> 00:33:44,480 Speaker 1: was born. We bring in probably did not expect this introduction. 563 00:33:44,560 --> 00:33:47,520 Speaker 1: We bring in now Dan Zach Chesky does fantastic work 564 00:33:47,560 --> 00:33:50,480 Speaker 1: for OutKick, reporting on a variety of different stories, and 565 00:33:50,520 --> 00:33:52,400 Speaker 1: I wanted to shine some light on this because I 566 00:33:52,400 --> 00:33:53,840 Speaker 1: thought it was super interesting. 567 00:33:54,400 --> 00:33:55,320 Speaker 2: Many of you out. 568 00:33:55,200 --> 00:33:59,960 Speaker 1: There will remember a story went viral when the Indian 569 00:34:00,080 --> 00:34:04,280 Speaker 1: and a Fever fans were accused of racial slurs in 570 00:34:04,320 --> 00:34:07,600 Speaker 1: the direction of Angel Reese in a w NBA game, 571 00:34:08,560 --> 00:34:11,760 Speaker 1: and they did an investigation. They determined that absolutely nothing 572 00:34:12,280 --> 00:34:15,279 Speaker 1: inappropriate or racist had been said. They couldn't find any 573 00:34:15,320 --> 00:34:18,840 Speaker 1: evidence of it. Go figure, and the WNBA at that 574 00:34:18,880 --> 00:34:22,040 Speaker 1: time said, and I'm paraphrasing them, but basically, we have 575 00:34:22,160 --> 00:34:26,000 Speaker 1: no place in this league for racism or mistreatment of 576 00:34:26,040 --> 00:34:29,719 Speaker 1: others based on their their race. There's ender ethnicity, any 577 00:34:29,719 --> 00:34:32,360 Speaker 1: of those things. And then within like a day and 578 00:34:32,400 --> 00:34:37,160 Speaker 1: a half, Britney Griner, who is a women's basketball player 579 00:34:37,200 --> 00:34:41,120 Speaker 1: that was traded for the Merchant of Death. That seems 580 00:34:41,160 --> 00:34:44,239 Speaker 1: like a not very fair trade. We got a black 581 00:34:44,320 --> 00:34:48,279 Speaker 1: lesbian basketball player in the WNBA, Russia got back the 582 00:34:48,320 --> 00:34:53,040 Speaker 1: Merchant of death to help them theoretically create more death. Again, 583 00:34:53,160 --> 00:34:56,080 Speaker 1: I think that's a very unbalanced trade. Like herschel Walker 584 00:34:56,680 --> 00:34:58,600 Speaker 1: for those of you who are old school, when the 585 00:34:58,680 --> 00:35:03,080 Speaker 1: Dallas Cowboy. Sorry, Viking fans got all of the assets 586 00:35:03,080 --> 00:35:05,960 Speaker 1: for no cost. But recently Deshaun Watson to the Cleveland 587 00:35:06,040 --> 00:35:08,920 Speaker 1: Browns probably the worst trade of all time. Houston Texans 588 00:35:08,960 --> 00:35:12,680 Speaker 1: get insanely fortunate. This was worse than those I would argue. 589 00:35:13,360 --> 00:35:19,200 Speaker 1: But Britney Griner on the sideline appears to insult white 590 00:35:19,360 --> 00:35:24,600 Speaker 1: women in a phrase that went megaviral. She has said nothing. 591 00:35:24,760 --> 00:35:27,600 Speaker 1: The WNBA has said nothing. Now, I would submit to 592 00:35:27,640 --> 00:35:29,640 Speaker 1: you that if Caitl and Clark were on the sideline 593 00:35:30,000 --> 00:35:34,600 Speaker 1: insulting black girls, that Kaitlin Clark's entire career would probably 594 00:35:34,640 --> 00:35:37,440 Speaker 1: be over everyone to be talking about it. So what 595 00:35:37,520 --> 00:35:41,040 Speaker 1: did Britney Griner say? Has the WNBA investigated at all? 596 00:35:41,120 --> 00:35:43,879 Speaker 1: OutKick is like the only place that would even covered this, 597 00:35:44,360 --> 00:35:47,120 Speaker 1: And so Dan Zack Sheesky is a reporter at OutKick, 598 00:35:47,480 --> 00:35:50,040 Speaker 1: and Dan appreciate you making the time for us. I 599 00:35:50,040 --> 00:35:51,879 Speaker 1: wanted to give a background. I think I laid out 600 00:35:51,880 --> 00:35:55,240 Speaker 1: everything there. You've been trying to go cover Britney Griner 601 00:35:55,280 --> 00:35:58,160 Speaker 1: and just ask the questions of her. What has happened? 602 00:35:58,200 --> 00:36:00,160 Speaker 1: What has the WNBA done? 603 00:36:00,800 --> 00:36:01,279 Speaker 2: Well, First of. 604 00:36:01,280 --> 00:36:03,360 Speaker 4: All, Clay, let me say that I don't know that 605 00:36:03,480 --> 00:36:05,960 Speaker 4: the Shawn Watson trades pretty bad. It might be closed 606 00:36:06,000 --> 00:36:07,879 Speaker 4: as far as worst trade. 607 00:36:07,760 --> 00:36:09,120 Speaker 2: Which is the worst trade of all time? 608 00:36:09,160 --> 00:36:11,880 Speaker 1: Britney Grinder for the Merchant of Death or Deshaun Watson 609 00:36:11,920 --> 00:36:13,960 Speaker 1: for all the first round picks the Cleveland Brown's a 610 00:36:14,000 --> 00:36:14,480 Speaker 1: good debate. 611 00:36:15,000 --> 00:36:16,919 Speaker 4: Yeah, I think you need to put up a pole 612 00:36:16,960 --> 00:36:20,960 Speaker 4: on your on your Twitter account anyway, So exactly you 613 00:36:21,040 --> 00:36:24,080 Speaker 4: laid it out perfectly. It's pretty simple, clay. Some people 614 00:36:24,120 --> 00:36:27,319 Speaker 4: say Brittany Grinder said fing white girl. Some people think 615 00:36:27,360 --> 00:36:30,239 Speaker 4: she said fing whack call. It was a pretty easy 616 00:36:30,239 --> 00:36:31,600 Speaker 4: way to figure out what she said. 617 00:36:32,280 --> 00:36:32,759 Speaker 5: Asked her. 618 00:36:33,360 --> 00:36:36,240 Speaker 4: It's not that hard. Ask for the question, Britney Griner. 619 00:36:36,360 --> 00:36:38,759 Speaker 4: There's a viral moment. You know it, you've seen it, 620 00:36:38,840 --> 00:36:42,360 Speaker 4: you said it. What did you say? Not one person 621 00:36:42,880 --> 00:36:47,040 Speaker 4: has asked Britney Griner that question since it happened two 622 00:36:47,120 --> 00:36:50,920 Speaker 4: weeks ago. I mean, Grinder has played several WNBA games 623 00:36:50,960 --> 00:36:53,040 Speaker 4: since then. I mean, I know al Kick has reached 624 00:36:53,080 --> 00:36:56,440 Speaker 4: out to the WNBA to Grinder's management team. They aren't responding. 625 00:36:56,880 --> 00:36:59,799 Speaker 4: But I mean, this is really incumbent upon the so 626 00:37:00,080 --> 00:37:04,160 Speaker 4: called journalists and reporters who cover this league to ask. 627 00:37:05,800 --> 00:37:08,919 Speaker 4: It blows my mind that no one has even asked 628 00:37:08,960 --> 00:37:13,160 Speaker 4: the question. So we requested a credential for the game 629 00:37:13,320 --> 00:37:15,919 Speaker 4: where Grinder was playing in Los Angeles. Now Grinder didn't 630 00:37:15,920 --> 00:37:17,799 Speaker 4: actually end up playing in that game, but we were 631 00:37:17,800 --> 00:37:20,480 Speaker 4: denied that credential request. We put in a request for 632 00:37:20,560 --> 00:37:23,480 Speaker 4: the game tonight against the Connecticut Sun. I have covered 633 00:37:23,520 --> 00:37:26,560 Speaker 4: several Connecticut Sun games over the past year. I was 634 00:37:26,840 --> 00:37:31,160 Speaker 4: even allowed to, I'm sorry, granted a credential for a 635 00:37:31,200 --> 00:37:34,880 Speaker 4: playoff game against the Connecticut Sun against Caitlyn Clark and 636 00:37:34,920 --> 00:37:37,239 Speaker 4: the Indiana Fever. Now you want to talk about whether 637 00:37:37,320 --> 00:37:39,680 Speaker 4: or not there's enough space, because that was their response, 638 00:37:39,920 --> 00:37:43,440 Speaker 4: we don't have enough space to accommodate you. Really, you 639 00:37:43,520 --> 00:37:45,719 Speaker 4: had enough space for me to go to a playoff 640 00:37:45,760 --> 00:37:49,880 Speaker 4: game that featured Caitlin Clark playing at the Mohegan Sun Arena, 641 00:37:50,120 --> 00:37:52,440 Speaker 4: which by the way, is in the middle of absolutely nowhere. 642 00:37:52,440 --> 00:37:53,960 Speaker 4: There are not a lot of people that cover this 643 00:37:54,000 --> 00:37:56,480 Speaker 4: team regularly, because I mean, why would you the Kanicket 644 00:37:56,480 --> 00:37:58,680 Speaker 4: Sun have one win and they're telling us they don't 645 00:37:58,680 --> 00:38:01,480 Speaker 4: have enough space for me to cover the game. I 646 00:38:01,560 --> 00:38:04,560 Speaker 4: called bs on that they don't want us asking Britney 647 00:38:04,600 --> 00:38:08,000 Speaker 4: Grinder the question that frankly should have already been asked. 648 00:38:08,200 --> 00:38:12,120 Speaker 1: Okay, so this is interesting to me. We have requested Throughoutkick. 649 00:38:12,200 --> 00:38:14,680 Speaker 1: I say we because I sold out Kick. Fox owns it, 650 00:38:14,680 --> 00:38:16,920 Speaker 1: but I still do work for OutKick and I founded it. 651 00:38:17,320 --> 00:38:20,719 Speaker 1: You have asked to cover Britney Grinder's team in a 652 00:38:20,800 --> 00:38:24,279 Speaker 1: game in LA, and now you have asked to cover 653 00:38:24,400 --> 00:38:27,880 Speaker 1: Britney Grinder's team on the East Coast in Connecticut, and 654 00:38:28,040 --> 00:38:31,440 Speaker 1: both of those in WNBA teams have said no, we 655 00:38:31,520 --> 00:38:32,400 Speaker 1: don't have space. 656 00:38:32,480 --> 00:38:35,040 Speaker 2: We can't handle one more journalist. 657 00:38:36,800 --> 00:38:37,759 Speaker 5: That's my understanding. 658 00:38:37,760 --> 00:38:40,080 Speaker 4: It was not me who requested the credential in LA, 659 00:38:40,200 --> 00:38:42,120 Speaker 4: because I live in Connecticut. That would have been quite 660 00:38:42,160 --> 00:38:45,920 Speaker 4: the trick for me. I believe that Los Angeles claimed 661 00:38:45,920 --> 00:38:49,440 Speaker 4: that we requested the credential too late, you know, late whatever. 662 00:38:49,560 --> 00:38:51,399 Speaker 2: Fine, So so let me ask you this. 663 00:38:51,840 --> 00:38:54,799 Speaker 1: I will speak to this because I've been involved in 664 00:38:54,800 --> 00:38:57,880 Speaker 1: this for a long time. OutKick is credentialed for the 665 00:38:57,920 --> 00:39:01,280 Speaker 1: super Bowl. You're a sports guy. Super Bowl pretty difficult 666 00:39:01,320 --> 00:39:03,160 Speaker 1: to get a credential for kind of a big deal. 667 00:39:04,760 --> 00:39:06,040 Speaker 4: Yes, let's say so. 668 00:39:06,800 --> 00:39:07,640 Speaker 2: Out Kick has. 669 00:39:07,520 --> 00:39:12,280 Speaker 1: Been credentialed for any NFL game, any NBA game, any 670 00:39:12,400 --> 00:39:18,160 Speaker 1: NHL game, and any major conference with Big Ten SEC 671 00:39:19,480 --> 00:39:24,160 Speaker 1: all of these different sporting events to my knowledge. But you, 672 00:39:24,280 --> 00:39:27,600 Speaker 1: I'll ask you, is are all of those sports that 673 00:39:27,680 --> 00:39:31,160 Speaker 1: I just named? For instance, would in Alabama Auburn game 674 00:39:31,680 --> 00:39:35,279 Speaker 1: in general receive a little bit more coverage than the 675 00:39:36,640 --> 00:39:40,120 Speaker 1: than any w NBA game that's ever existed, but certainly 676 00:39:40,280 --> 00:39:43,720 Speaker 1: a random w NBA game in the regular season? 677 00:39:43,800 --> 00:39:44,239 Speaker 2: Is that fair? 678 00:39:44,320 --> 00:39:47,719 Speaker 1: Super Bowl? Alabama, Auburn, Ohio State, Michigan. These are things 679 00:39:47,760 --> 00:39:50,360 Speaker 1: where there is a great deal of sports media demand 680 00:39:50,800 --> 00:39:53,560 Speaker 1: and yet we've gotten credentials. Would you agree probably a 681 00:39:53,600 --> 00:39:55,320 Speaker 1: little more popular than the WNBA. 682 00:39:56,120 --> 00:39:59,040 Speaker 4: Well, it's like the Deshaun Watson trade versus grind or 683 00:39:59,080 --> 00:40:01,760 Speaker 4: trade debate. But yes, I do think you are correct 684 00:40:01,800 --> 00:40:03,680 Speaker 4: that there's a little bit more interest in those events 685 00:40:03,719 --> 00:40:04,360 Speaker 4: that you mentioned. 686 00:40:04,760 --> 00:40:08,239 Speaker 1: In general, super Bowl more people interested in it than 687 00:40:08,280 --> 00:40:10,919 Speaker 1: women's professional basketball. I know that's going to really drive 688 00:40:10,960 --> 00:40:13,359 Speaker 1: the left wingers crazy, but it is. It is the 689 00:40:13,400 --> 00:40:16,879 Speaker 1: case that Super Bowl, featuring only men, at least so far, 690 00:40:17,000 --> 00:40:20,760 Speaker 1: is more popular than a basketball game featuring only women. Okay, 691 00:40:20,840 --> 00:40:24,040 Speaker 1: so what do you attribute this to? Because I'll tell you, 692 00:40:24,080 --> 00:40:27,080 Speaker 1: as the founder of OutKick, I think that the WNBA 693 00:40:27,920 --> 00:40:31,960 Speaker 1: has decided that they will not credential OutKick for anything. 694 00:40:32,160 --> 00:40:34,680 Speaker 1: And this is a top down decision. Every team has 695 00:40:34,719 --> 00:40:37,160 Speaker 1: talked about it. They have decided they don't like the 696 00:40:37,200 --> 00:40:40,839 Speaker 1: way we're covering their league and therefore they want credentialists. 697 00:40:40,840 --> 00:40:43,120 Speaker 1: Do you buy that as a thesis? In other words, 698 00:40:43,120 --> 00:40:45,879 Speaker 1: do you think WNBA maybe they get enough pressure from 699 00:40:45,880 --> 00:40:47,799 Speaker 1: this and they change, But right now, do you think 700 00:40:47,840 --> 00:40:48,919 Speaker 1: that's their calculus? 701 00:40:49,440 --> 00:40:49,640 Speaker 5: Yeah? 702 00:40:49,680 --> 00:40:51,200 Speaker 4: I think that's one hundred percent true. And you know, 703 00:40:51,239 --> 00:40:53,040 Speaker 4: look like we're going to find out. I requested a 704 00:40:53,080 --> 00:40:55,880 Speaker 4: credential for the Atlanta Dream versus the New York Liberty. 705 00:40:56,040 --> 00:40:58,799 Speaker 4: Next week, I requested a credential for the Atlanta Dream 706 00:40:58,880 --> 00:41:02,280 Speaker 4: versus the Washington Mystic two days after that. Let's see, 707 00:41:02,480 --> 00:41:04,480 Speaker 4: let's see if they let us in. Because we're we're 708 00:41:04,480 --> 00:41:06,120 Speaker 4: not going to stop asking. That's what we do it 709 00:41:06,160 --> 00:41:08,279 Speaker 4: out kick, right, we have questions, we want answers. We're 710 00:41:08,280 --> 00:41:09,320 Speaker 4: not going to stop asking. 711 00:41:09,719 --> 00:41:11,680 Speaker 2: Okay, I also think this is important. 712 00:41:12,600 --> 00:41:17,719 Speaker 1: Ostensibly the only reason for sports journalism to exist as 713 00:41:17,760 --> 00:41:22,080 Speaker 1: it pertains to games is for journalists, that is, reporters. 714 00:41:22,120 --> 00:41:27,600 Speaker 1: However you want to classify it, to go and ask athletes, coaches, owners, 715 00:41:28,000 --> 00:41:34,279 Speaker 1: anyone affiliated with teams questions about their performance in the game. Right, 716 00:41:34,360 --> 00:41:37,560 Speaker 1: That's the only reason why anyone should be credentialed to 717 00:41:37,680 --> 00:41:41,279 Speaker 1: a game, particularly in this day and age, because everybody 718 00:41:41,320 --> 00:41:43,319 Speaker 1: can sit and watch the actual game. 719 00:41:43,360 --> 00:41:44,840 Speaker 2: It used to be that. 720 00:41:44,719 --> 00:41:47,120 Speaker 1: You had to have journalists at games because you would 721 00:41:47,120 --> 00:41:49,200 Speaker 1: wake up the next morning and you wanted to get 722 00:41:49,200 --> 00:41:52,440 Speaker 1: the newspaper and otherwise you wouldn't know what happened in 723 00:41:52,440 --> 00:41:55,799 Speaker 1: the game. But now every game streams, every game is available, 724 00:41:55,880 --> 00:41:58,440 Speaker 1: every fan knows the score of any team they care about. 725 00:41:58,760 --> 00:42:01,920 Speaker 1: The only reason why these jobs should exist is for 726 00:42:02,040 --> 00:42:04,680 Speaker 1: questions to be asked of the people involved. 727 00:42:04,280 --> 00:42:06,759 Speaker 2: In them, right, I would agree with that. 728 00:42:06,840 --> 00:42:09,440 Speaker 1: Yes, okay, So if we believe that is the presumption, 729 00:42:09,920 --> 00:42:13,839 Speaker 1: then how in the world is it possible take out 730 00:42:13,960 --> 00:42:15,920 Speaker 1: kick off the table? Because I agree with you, we 731 00:42:15,960 --> 00:42:19,040 Speaker 1: would ask Britney Griner this question, How in the world, 732 00:42:19,120 --> 00:42:23,440 Speaker 1: from a media perspective, from a journalistic perspective, from a 733 00:42:23,480 --> 00:42:27,319 Speaker 1: big jay journalism role, can the New York Times, the 734 00:42:27,480 --> 00:42:30,120 Speaker 1: Washington Post, The New York Times just had a big 735 00:42:30,160 --> 00:42:34,160 Speaker 1: profile of Britney Griner ironically that I read over the weekend. 736 00:42:34,719 --> 00:42:38,480 Speaker 1: How can they justify going and covering these games and 737 00:42:38,520 --> 00:42:42,560 Speaker 1: not asking Britney Griner about the megaviral clip of her 738 00:42:43,040 --> 00:42:46,880 Speaker 1: in the wake of the investigation of the Indiana Fever 739 00:42:47,120 --> 00:42:50,360 Speaker 1: over inappropriate comments. I mean, it seems like the biggest, 740 00:42:50,400 --> 00:42:54,200 Speaker 1: most glistening orb in the sky. How could they possibly 741 00:42:54,320 --> 00:42:57,280 Speaker 1: justify from a journalistic perspective not asking that question. 742 00:42:57,920 --> 00:43:00,000 Speaker 4: It's pretty easy, Clay, and we're finding out right now 743 00:43:00,000 --> 00:43:02,759 Speaker 4: because when you ask those questions, you don't get invited back. See, 744 00:43:02,800 --> 00:43:05,839 Speaker 4: the WNBA has put this, has put this in place 745 00:43:05,880 --> 00:43:08,239 Speaker 4: where it's like, hey, you cover our league the way 746 00:43:08,320 --> 00:43:10,359 Speaker 4: we want you to cover it, or we're not giving 747 00:43:10,360 --> 00:43:12,440 Speaker 4: you a credential. I mean, look at Christine Brennan, one 748 00:43:12,440 --> 00:43:16,160 Speaker 4: of the most radical left wing, progressive liberal sports writers 749 00:43:16,160 --> 00:43:19,960 Speaker 4: on the planet, dared to ask Dja Carrington if she 750 00:43:20,000 --> 00:43:22,799 Speaker 4: poked Caitlin Clark in the eye on purpose last year 751 00:43:23,000 --> 00:43:27,440 Speaker 4: and had the WNBA Players Association calling for her credentials 752 00:43:27,480 --> 00:43:30,600 Speaker 4: to be revoked. I mean, if Christine Brennan is not 753 00:43:30,760 --> 00:43:35,960 Speaker 4: immune from the WNBA considering revoking credentials, who is immune? 754 00:43:35,960 --> 00:43:38,160 Speaker 4: The answer is no one, So Clay, I think it 755 00:43:38,200 --> 00:43:40,279 Speaker 4: comes down to a simple calculus, like, hey, we want 756 00:43:40,280 --> 00:43:42,960 Speaker 4: to continue to be allowed to cover games. The WNBA 757 00:43:43,160 --> 00:43:45,880 Speaker 4: doesn't want look Clay, there's no such thing as a 758 00:43:45,960 --> 00:43:48,759 Speaker 4: WNBA reporter or a WNBA journalists. People might have it 759 00:43:48,800 --> 00:43:51,360 Speaker 4: in their LinkedIn bios or on their social media profiles, 760 00:43:51,360 --> 00:43:53,920 Speaker 4: but they're not telling the truth. The WNBA has a 761 00:43:53,920 --> 00:43:57,000 Speaker 4: group of people who act as essentially a pr firm 762 00:43:57,480 --> 00:43:59,879 Speaker 4: or a cheerleader for the league, and that's all it is, 763 00:44:00,080 --> 00:44:00,959 Speaker 4: and that's all they want. 764 00:44:01,200 --> 00:44:01,799 Speaker 5: The media is. 765 00:44:01,760 --> 00:44:04,200 Speaker 4: Here to promote our product, talk about us only in 766 00:44:04,239 --> 00:44:07,320 Speaker 4: a positive light. And it drives me insane because the 767 00:44:07,360 --> 00:44:10,920 Speaker 4: players talk about, oh, we deserve equal pay, equal coverage to. 768 00:44:10,920 --> 00:44:11,920 Speaker 5: The men's game, and this and that. 769 00:44:12,160 --> 00:44:14,960 Speaker 4: But they're not telling the truth either. They don't want equal, 770 00:44:15,000 --> 00:44:17,640 Speaker 4: they want equal, but special. They want everything that comes 771 00:44:17,680 --> 00:44:21,720 Speaker 4: along with the positive, which is more money, more advertisements, 772 00:44:21,719 --> 00:44:23,600 Speaker 4: all of that, but they don't want the criticism. 773 00:44:24,480 --> 00:44:25,719 Speaker 2: Let me ask you one more question here. 774 00:44:25,760 --> 00:44:28,960 Speaker 1: I appreciate the time dan Zach Sheesky at OutKick on 775 00:44:29,040 --> 00:44:32,880 Speaker 1: the news. The WNBA is refusing to credential OutKick for 776 00:44:33,120 --> 00:44:37,520 Speaker 1: any Britney Grinder game. You've also been covering Nike. Nike 777 00:44:37,680 --> 00:44:43,080 Speaker 1: appears to have funded a study of trans miners to 778 00:44:43,239 --> 00:44:45,120 Speaker 1: see and I'm just trying to pair phrase it here 779 00:44:45,239 --> 00:44:49,160 Speaker 1: to see what the impact of huberty related treatment, so 780 00:44:49,280 --> 00:44:53,600 Speaker 1: called gender affirming care might be on athletics. What is 781 00:44:53,640 --> 00:44:56,880 Speaker 1: going on here and what is happening such that Nike 782 00:44:57,200 --> 00:45:00,399 Speaker 1: is not in any way responding to questions that rose 783 00:45:00,400 --> 00:45:03,160 Speaker 1: out of a New York Times expose of all things 784 00:45:03,320 --> 00:45:05,320 Speaker 1: relating to gender treatments. 785 00:45:06,320 --> 00:45:09,440 Speaker 4: Yeah, so, well, we don't know because Nike won't tell us. 786 00:45:09,440 --> 00:45:12,960 Speaker 4: We've only received one comment from Nike that was on background. 787 00:45:13,040 --> 00:45:15,360 Speaker 4: It was from you know, quote unquote anonymous source. I 788 00:45:15,360 --> 00:45:17,239 Speaker 4: spoke to a Nike executive who did not want to 789 00:45:17,280 --> 00:45:19,960 Speaker 4: be named and said, the study is not moving forward. 790 00:45:20,239 --> 00:45:20,719 Speaker 5: Essentially. 791 00:45:20,880 --> 00:45:22,719 Speaker 4: Now, we don't know when that happened. We don't know 792 00:45:22,760 --> 00:45:26,560 Speaker 4: if it's The speculation, of course, is that this was 793 00:45:26,560 --> 00:45:29,680 Speaker 4: made public by our reporting and they were like, oh crap, 794 00:45:29,760 --> 00:45:31,879 Speaker 4: we got to stop doing this, and the best way 795 00:45:31,880 --> 00:45:33,799 Speaker 4: to handle it is to just not say anything. So 796 00:45:33,880 --> 00:45:36,279 Speaker 4: I actually Clay went to Boston cause I also haven't 797 00:45:36,280 --> 00:45:38,879 Speaker 4: been able to speak with the researchers. The researchers who 798 00:45:38,920 --> 00:45:42,040 Speaker 4: were doing this study, who are not affiliated with Nike, 799 00:45:42,120 --> 00:45:45,719 Speaker 4: but we're receiving money from Nike. Allegedly, they also were 800 00:45:45,760 --> 00:45:48,520 Speaker 4: not responding to any inquiries. I sent dozens of emails 801 00:45:48,520 --> 00:45:51,560 Speaker 4: to doctor Katherine Ackerman, the lead researcher on the study, 802 00:45:51,760 --> 00:45:55,239 Speaker 4: and couldn't get a response. So Ackerman hosts a bi 803 00:45:55,440 --> 00:45:58,160 Speaker 4: annual female athlete conference. This year it was in Boston, 804 00:45:58,200 --> 00:45:59,799 Speaker 4: so I'll kick send me up to Boston to go 805 00:46:00,040 --> 00:46:02,920 Speaker 4: find Katherine Ackerman asked her to her face what is 806 00:46:02,960 --> 00:46:06,360 Speaker 4: going on, and she basically would not say anything. She 807 00:46:06,440 --> 00:46:09,080 Speaker 4: knew right away who I was. After she asked my name, 808 00:46:09,120 --> 00:46:10,640 Speaker 4: I was like, hey, my name is Dan. She's like, oh, 809 00:46:10,680 --> 00:46:11,799 Speaker 4: I know who you are, and I know what you 810 00:46:11,800 --> 00:46:13,399 Speaker 4: want to talk about. And I was like, okay, well 811 00:46:13,520 --> 00:46:14,799 Speaker 4: do you want to talk about it? And she was like, no, 812 00:46:14,880 --> 00:46:17,520 Speaker 4: I do not. I also spoke with Joanna Harper, the 813 00:46:17,600 --> 00:46:20,680 Speaker 4: secondary researcher who you mentioned in that New York Times article. 814 00:46:20,920 --> 00:46:23,520 Speaker 4: That's who said it. Harper said it to New York Times. 815 00:46:23,719 --> 00:46:27,520 Speaker 4: Also told me I'm not supposed to talk about that. Okay, 816 00:46:27,600 --> 00:46:29,840 Speaker 4: not supposed to talk about it? Well, who told you 817 00:46:29,920 --> 00:46:30,239 Speaker 4: not to. 818 00:46:30,200 --> 00:46:30,839 Speaker 5: Talk about it? 819 00:46:31,320 --> 00:46:34,280 Speaker 4: I mean the obvious answer would be Nike, But again 820 00:46:34,360 --> 00:46:36,000 Speaker 4: we don't know because Nike won't tell us. They could 821 00:46:36,000 --> 00:46:38,919 Speaker 4: clear this up with one email, one phone call. They're 822 00:46:39,000 --> 00:46:41,160 Speaker 4: choosing not to, which only makes them look more and 823 00:46:41,200 --> 00:46:42,480 Speaker 4: more guilty in this situation. 824 00:46:42,960 --> 00:46:45,200 Speaker 1: Thank you for filling in and for people out there. 825 00:46:45,200 --> 00:46:47,600 Speaker 1: I mean, this is way worse than bud Light giving 826 00:46:47,640 --> 00:46:52,880 Speaker 1: a random beer cans to a trans influencer. This in theory, 827 00:46:52,960 --> 00:46:56,799 Speaker 1: would be Nike paying for miners to be treated to 828 00:46:56,880 --> 00:47:00,359 Speaker 1: see what the impact is in athletics, which is crazy. Dan, 829 00:47:00,400 --> 00:47:05,200 Speaker 1: appreciate the work. Keep us updated on WNBA propagandists. 830 00:47:04,640 --> 00:47:07,160 Speaker 2: And more anytime. 831 00:47:07,239 --> 00:47:07,880 Speaker 5: Please thank you. 832 00:47:08,800 --> 00:47:11,120 Speaker 2: Dan does really good work. I do think that's important. 833 00:47:11,280 --> 00:47:14,360 Speaker 1: And people will say, Okay, well, you know it's sports, 834 00:47:14,400 --> 00:47:19,200 Speaker 1: why does it matter. The only reason why anyone should 835 00:47:19,200 --> 00:47:22,400 Speaker 1: be credentialed to go to a sporting event in twenty 836 00:47:22,480 --> 00:47:26,960 Speaker 1: twenty five is to ask questions of athletes and of 837 00:47:27,239 --> 00:47:30,560 Speaker 1: coaches and of owners other people affiliated with the game, 838 00:47:30,600 --> 00:47:33,719 Speaker 1: because everybody knows the outcome of the game. The WNBA 839 00:47:33,840 --> 00:47:38,880 Speaker 1: doesn't have reporters, they have propagandists, and they won't even 840 00:47:38,960 --> 00:47:42,960 Speaker 1: ask Brittney Griner whether she gave a racial slur to 841 00:47:43,040 --> 00:47:47,080 Speaker 1: white people on the sideline and a megaviral clip that's 842 00:47:47,080 --> 00:47:54,840 Speaker 1: been watched over ten million times on Twitter alone. It's shameful. Also, predictable. Look, 843 00:47:55,080 --> 00:47:57,439 Speaker 1: we just came back. I was down in Palm Beach. 844 00:47:57,520 --> 00:47:59,880 Speaker 1: We met with the IFCJ face to face and help 845 00:48:00,080 --> 00:48:04,520 Speaker 1: them raise money because the attacks on Jewish people continue 846 00:48:04,520 --> 00:48:08,480 Speaker 1: to grow, including unfortunately what just happened in Bolder this 847 00:48:08,560 --> 00:48:13,440 Speaker 1: past week, chilling attack that anti Semitism is on the march. 848 00:48:13,600 --> 00:48:16,359 Speaker 1: One of the eight people injured, eighty eight year old 849 00:48:16,440 --> 00:48:20,399 Speaker 1: who had been through the Holocaust era. To have survived 850 00:48:20,560 --> 00:48:23,279 Speaker 1: something like that and then at eighty eight years old, 851 00:48:23,360 --> 00:48:26,720 Speaker 1: deal with molotov cocktails being thrown at you and Bolder. 852 00:48:26,960 --> 00:48:29,640 Speaker 1: We also know what happened in our nation's capital, Washington, DC. 853 00:48:30,440 --> 00:48:33,880 Speaker 1: Globalizing the end of Fada has consequences, but also you 854 00:48:33,920 --> 00:48:37,799 Speaker 1: can push back against this awfulness by supporting the IFCJ. 855 00:48:37,920 --> 00:48:43,040 Speaker 1: They build bomb shelters, fortify ambulances, They provide donations, flack jackets, 856 00:48:43,120 --> 00:48:45,680 Speaker 1: other essential items. I saw it for myself in December 857 00:48:45,760 --> 00:48:49,759 Speaker 1: when I traveled to Israel. They also feed elderly Holocaust survivors. 858 00:48:49,800 --> 00:48:51,680 Speaker 1: When you give a gift of forty five dollars to 859 00:48:51,719 --> 00:48:55,160 Speaker 1: the IFCJ, you're putting faith into action right where it's 860 00:48:55,160 --> 00:48:58,400 Speaker 1: needed most. It stands for the International Fellowship of Christians 861 00:48:58,400 --> 00:49:01,080 Speaker 1: and Jews. You can stand up to anti Semitism and 862 00:49:01,160 --> 00:49:06,080 Speaker 1: show your support at IFCJ dot org. That's IFCJ dot org. 863 00:49:06,160 --> 00:49:09,000 Speaker 1: You can also call eight eight eight four eight eight 864 00:49:09,160 --> 00:49:13,880 Speaker 1: I f CJ again IFCJ dot org or eight eight 865 00:49:13,960 --> 00:49:25,000 Speaker 1: eight four eight eight if CJ. We are joined now 866 00:49:25,080 --> 00:49:28,120 Speaker 1: by former Speaker of the House New Gingrich. He has 867 00:49:28,160 --> 00:49:31,600 Speaker 1: got a brand new book out, Trump's Triumph, America's Greatest Comeback. 868 00:49:32,880 --> 00:49:34,920 Speaker 1: We'll get into the elon thing in a sec but 869 00:49:35,640 --> 00:49:37,880 Speaker 1: Speaker Gingrich, appreciate you coming on with this. You've been 870 00:49:37,880 --> 00:49:41,560 Speaker 1: on with this several times. You are a student of history. 871 00:49:42,600 --> 00:49:46,239 Speaker 1: Is there any doubt that Trump coming back to win 872 00:49:46,320 --> 00:49:50,880 Speaker 1: the election is the greatest American political comeback of all time? 873 00:49:50,960 --> 00:49:54,480 Speaker 1: Can you even think of a comparison in the historical 874 00:49:54,600 --> 00:49:57,680 Speaker 1: record based on your knowledge? 875 00:49:57,960 --> 00:50:02,160 Speaker 6: No, both, because he was in office, lost office, got 876 00:50:02,200 --> 00:50:06,680 Speaker 6: back into office, which is tied only by Grover Cleveland 877 00:50:06,680 --> 00:50:10,120 Speaker 6: in eighteen ninety two, but even deeper, he had built 878 00:50:10,120 --> 00:50:14,680 Speaker 6: such a strong following that Trump defeated Biden and then 879 00:50:14,719 --> 00:50:18,040 Speaker 6: pivoted and a couple months later defeated Harris. No other 880 00:50:18,120 --> 00:50:23,279 Speaker 6: candidate has defeated two major opponents in one year and 881 00:50:23,360 --> 00:50:25,759 Speaker 6: the very fact that he's still standing. This is part 882 00:50:25,800 --> 00:50:29,400 Speaker 6: of why I wrote Trump's Triumph, which I began writing 883 00:50:29,400 --> 00:50:31,799 Speaker 6: back in October, because I was convinced he was going 884 00:50:31,880 --> 00:50:32,160 Speaker 6: to win. 885 00:50:33,680 --> 00:50:35,080 Speaker 5: You think about everything they threw at. 886 00:50:35,080 --> 00:50:38,239 Speaker 6: Him now, since he's walked down the elevator or the 887 00:50:38,360 --> 00:50:43,879 Speaker 6: escalator in twenty fifteen, ten years pounding away at him, 888 00:50:44,360 --> 00:50:47,480 Speaker 6: and he's still standing and now he's once again president. 889 00:50:47,680 --> 00:50:49,360 Speaker 6: So it's a remarkable achievement. 890 00:50:51,520 --> 00:50:54,480 Speaker 1: Is there anybody that you even think about historically outside 891 00:50:54,480 --> 00:50:58,920 Speaker 1: of the United States? You mentioned Grover Cleveland, because one 892 00:50:58,960 --> 00:51:01,680 Speaker 1: of the great things about history is one you can 893 00:51:01,920 --> 00:51:04,879 Speaker 1: learn about everybody that came before you, but you can 894 00:51:04,920 --> 00:51:07,640 Speaker 1: also try to extrapolate how people that we don'ton't know 895 00:51:07,920 --> 00:51:11,319 Speaker 1: hundreds of years from now will look back. This is 896 00:51:11,400 --> 00:51:14,520 Speaker 1: really a pretty incredible era. From the moment Trump came 897 00:51:14,560 --> 00:51:17,759 Speaker 1: down the escalator, people are going to be grappling with 898 00:51:17,840 --> 00:51:20,400 Speaker 1: his legacy for the next several hundred years. 899 00:51:21,719 --> 00:51:25,120 Speaker 6: Oh, I think that's right. I think, particularly if he 900 00:51:25,160 --> 00:51:29,680 Speaker 6: can win the election next year and retain the Republican 901 00:51:29,719 --> 00:51:33,840 Speaker 6: control of the House, he will, I think, enact so 902 00:51:34,000 --> 00:51:38,279 Speaker 6: much reform and change the old order so decisively that 903 00:51:38,320 --> 00:51:43,640 Speaker 6: he will rival everybody except Washington and Lincoln as the greatest, 904 00:51:43,680 --> 00:51:46,640 Speaker 6: one of the greatest change agents in American history. And 905 00:51:46,680 --> 00:51:50,640 Speaker 6: it's truly astonishing to watch him work, to realize how 906 00:51:50,680 --> 00:51:54,040 Speaker 6: many different things he's doing at the same time, and 907 00:51:54,080 --> 00:51:57,960 Speaker 6: how determined he is to literally make America great again. 908 00:51:59,080 --> 00:52:01,279 Speaker 1: Trump is the most powerful person. I think it's fair 909 00:52:01,280 --> 00:52:04,000 Speaker 1: to say in the world. Elon Musk is the richest. 910 00:52:04,200 --> 00:52:07,960 Speaker 1: Yesterday Elon had basically what felt to me like a 911 00:52:08,000 --> 00:52:11,080 Speaker 1: temper tantrum on Twitter. He seems to have dialed it 912 00:52:11,160 --> 00:52:14,759 Speaker 1: back today. I imagine you have met Elon at some 913 00:52:14,840 --> 00:52:17,319 Speaker 1: point in time. I know you know Trump. Well, what 914 00:52:17,480 --> 00:52:20,880 Speaker 1: is your take over what happened yesterday, the relationship between 915 00:52:20,920 --> 00:52:22,479 Speaker 1: the two and where it goes from here. 916 00:52:23,600 --> 00:52:28,240 Speaker 6: Oh, you have two very powerful personalities who are also 917 00:52:28,360 --> 00:52:32,239 Speaker 6: very powerful in real sources. I mean, President Trump is 918 00:52:32,320 --> 00:52:36,440 Speaker 6: the most powerful man in the world, and Elon Musk 919 00:52:36,520 --> 00:52:41,000 Speaker 6: is the richest. So it's pretty interesting. I think Elon 920 00:52:41,160 --> 00:52:44,560 Speaker 6: sort of had a temper tantrum and melded down. When 921 00:52:44,560 --> 00:52:48,879 Speaker 6: you do forty tweets in one day, you are sort 922 00:52:48,880 --> 00:52:51,839 Speaker 6: of undermining yourself because it's hard for anyone to take 923 00:52:51,920 --> 00:52:54,839 Speaker 6: you seriously when you do that many, and I think 924 00:52:54,880 --> 00:52:57,359 Speaker 6: he was just he was angry, upset, didn't know what 925 00:52:57,400 --> 00:53:00,319 Speaker 6: to do, and acted it all out in public, which 926 00:53:00,520 --> 00:53:03,360 Speaker 6: I don't think in the long run was to Elon 927 00:53:03,480 --> 00:53:05,880 Speaker 6: musk advantage because he's. 928 00:53:05,800 --> 00:53:07,040 Speaker 5: You know, he has a brilliant guy. 929 00:53:07,320 --> 00:53:10,759 Speaker 6: What he's done with SpaceX, for example, has single handedly 930 00:53:11,040 --> 00:53:13,640 Speaker 6: put America back in the lead in space. So he's 931 00:53:13,680 --> 00:53:17,880 Speaker 6: a remarkable person. But at the same time, he's not 932 00:53:17,960 --> 00:53:21,239 Speaker 6: the president. He didn't have seventy seven million people vote 933 00:53:21,280 --> 00:53:24,840 Speaker 6: for him. He's not in a position to wield the 934 00:53:24,920 --> 00:53:27,880 Speaker 6: kind of power that the Constitution gives only to the 935 00:53:27,880 --> 00:53:31,719 Speaker 6: President of States. And I think somehow hanging out at 936 00:53:31,760 --> 00:53:33,880 Speaker 6: marl Argo and then hanging out at the White House, 937 00:53:34,840 --> 00:53:41,120 Speaker 6: Elon forgot that he was a supporter to the incumbent president. 938 00:53:41,480 --> 00:53:42,799 Speaker 5: He wasn't an alternative. 939 00:53:45,440 --> 00:53:48,120 Speaker 1: You said, you think Trump's term in office can be 940 00:53:48,160 --> 00:53:51,799 Speaker 1: truly transformative if he's able to retain control of the 941 00:53:51,840 --> 00:53:55,400 Speaker 1: House Republicans are in the midterms next year. What do 942 00:53:55,480 --> 00:53:58,520 Speaker 1: you think now about the squabble surrounding the so called 943 00:53:58,520 --> 00:54:01,759 Speaker 1: Big Beautiful bill. Speaker Johnson got it through on the 944 00:54:01,760 --> 00:54:05,759 Speaker 1: House side. Senate, there are obstacles. What would your take 945 00:54:05,840 --> 00:54:07,919 Speaker 1: be based on what you have seen of this bill. 946 00:54:07,960 --> 00:54:09,560 Speaker 1: What should happen? What will happen? 947 00:54:10,440 --> 00:54:12,239 Speaker 6: Well, I think it should pass, and I think it 948 00:54:12,280 --> 00:54:15,800 Speaker 6: will pass. It'll change form a little bit, and that's. 949 00:54:15,640 --> 00:54:16,560 Speaker 5: The way I'm supposed to it. 950 00:54:16,560 --> 00:54:19,680 Speaker 6: Look, the founding fathers did not want to build a 951 00:54:19,719 --> 00:54:22,840 Speaker 6: machine that you could make work so easily that a 952 00:54:22,880 --> 00:54:25,960 Speaker 6: dictator could make it work. So they designed a machine 953 00:54:26,360 --> 00:54:29,160 Speaker 6: that is so hard that we can barely get it 954 00:54:29,200 --> 00:54:31,920 Speaker 6: to work voluntarily, and they would be very happy with that. 955 00:54:32,000 --> 00:54:34,960 Speaker 6: They say, yeah, the price of freedom is that you 956 00:54:35,280 --> 00:54:37,480 Speaker 6: disperse power, so you have to get a lot of 957 00:54:37,480 --> 00:54:41,560 Speaker 6: people to sign off. Well, that's frustrating, it's difficult. Mike 958 00:54:41,640 --> 00:54:44,840 Speaker 6: Johnson has done a great job as Speaker of the House, 959 00:54:45,560 --> 00:54:50,600 Speaker 6: and frankly is the Senator's foon. The majority of the 960 00:54:50,640 --> 00:54:53,960 Speaker 6: Senate is doing a terrific job, and I think that 961 00:54:54,880 --> 00:54:57,279 Speaker 6: between them they seem to have a very good understanding. 962 00:54:58,040 --> 00:55:00,480 Speaker 6: The Senate will change the bill some some of the 963 00:55:00,480 --> 00:55:03,640 Speaker 6: will actually be an improvement, and it has to be 964 00:55:03,680 --> 00:55:06,400 Speaker 6: done carefully, and if they do it just right, I 965 00:55:06,400 --> 00:55:09,400 Speaker 6: think they'll bring the bill straight from the Senate without 966 00:55:09,400 --> 00:55:17,280 Speaker 6: a conference and end up having I would guess, a 967 00:55:17,360 --> 00:55:19,719 Speaker 6: vote in the House, and it'll be close. But my 968 00:55:19,840 --> 00:55:22,799 Speaker 6: hunch is that did Owen, this is. 969 00:55:22,760 --> 00:55:25,280 Speaker 5: The heart of the Trump project. 970 00:55:25,760 --> 00:55:29,000 Speaker 6: He has to have this bill for the economy to boom. 971 00:55:29,040 --> 00:55:31,839 Speaker 6: And I think if they get this bill through by 972 00:55:31,880 --> 00:55:34,239 Speaker 6: next June or July, will be in what will be 973 00:55:34,280 --> 00:55:37,680 Speaker 6: called the Trump boom, and we'll be creating jobs at 974 00:55:37,680 --> 00:55:41,680 Speaker 6: an unbelievable rate, and take home pay will be going up, 975 00:55:41,960 --> 00:55:45,120 Speaker 6: and affordability will be increasing, and people are going to think, 976 00:55:45,160 --> 00:55:47,279 Speaker 6: you know, this was worth the effort. 977 00:55:48,120 --> 00:55:50,040 Speaker 2: How durable is Trump is in post Trump? 978 00:55:51,960 --> 00:55:54,480 Speaker 5: Well, I think one of the reasons he picked JD. 979 00:55:54,600 --> 00:55:56,000 Speaker 5: Vance to be his vice president. 980 00:55:56,440 --> 00:55:59,560 Speaker 6: Vance is a year younger than Nixon was when Eisenhower 981 00:55:59,600 --> 00:56:01,600 Speaker 6: picked in, and I think one of the reasons he 982 00:56:01,680 --> 00:56:04,480 Speaker 6: did it is he wanted somebody who could carry on 983 00:56:04,880 --> 00:56:07,919 Speaker 6: the basic core messages and he thought that JD sort 984 00:56:07,960 --> 00:56:11,080 Speaker 6: of had that in his head. So I think guys 985 00:56:11,080 --> 00:56:13,960 Speaker 6: are pretty good. I mean, one of the points of 986 00:56:14,200 --> 00:56:18,920 Speaker 6: my book Trump's Triumph, The Greatest the American People's Greatest Comeback, 987 00:56:19,440 --> 00:56:19,920 Speaker 6: is that. 988 00:56:20,080 --> 00:56:22,360 Speaker 5: You really had a message. 989 00:56:23,800 --> 00:56:27,960 Speaker 6: Machine, a movement, and a messenger come together that going 990 00:56:27,960 --> 00:56:29,919 Speaker 6: all the way back to gold Water in sixty four 991 00:56:30,320 --> 00:56:33,520 Speaker 6: there's been a gradual, steady increase in the desire to 992 00:56:33,680 --> 00:56:38,759 Speaker 6: replace the Washington establishment, and that Trump came along and 993 00:56:39,600 --> 00:56:44,160 Speaker 6: really focused and gave voice to the movement. And I 994 00:56:44,200 --> 00:56:46,800 Speaker 6: think that's now real. I think you're not going to 995 00:56:46,840 --> 00:56:51,680 Speaker 6: see a reversion to a traditional Republican winning the presidency 996 00:56:52,160 --> 00:56:54,680 Speaker 6: in twenty twenty eight. It's going to be somebody who 997 00:56:54,719 --> 00:56:58,680 Speaker 6: shares Trump's values, and the most likely person, frankly is Jdvans. 998 00:57:00,120 --> 00:57:04,040 Speaker 1: People who are interested in reading the book, what motivated you? 999 00:57:04,040 --> 00:57:05,920 Speaker 1: You said you thought Trump was going to win, but 1000 00:57:06,000 --> 00:57:08,879 Speaker 1: you're a history guy too. Were you partly writing this 1001 00:57:08,920 --> 00:57:12,360 Speaker 1: book to contextualize the history in real time? What motivated 1002 00:57:12,400 --> 00:57:14,160 Speaker 1: You've written a lot over the years. 1003 00:57:14,719 --> 00:57:17,240 Speaker 6: Well, so much has been going on. I wanted to 1004 00:57:17,240 --> 00:57:20,120 Speaker 6: put it all in historic context. And the book both 1005 00:57:20,520 --> 00:57:23,240 Speaker 6: takes you back to how Trump got here, but it 1006 00:57:23,280 --> 00:57:26,280 Speaker 6: also projects forward where I think it's going to go. 1007 00:57:26,360 --> 00:57:28,880 Speaker 6: And I have to say, even though we began writing 1008 00:57:28,880 --> 00:57:31,720 Speaker 6: in October and finished in early February, when we went 1009 00:57:31,760 --> 00:57:34,640 Speaker 6: back and reviewed the book just before its publication, the 1010 00:57:34,720 --> 00:57:39,440 Speaker 6: only two things we missed were the Gulf of America 1011 00:57:39,560 --> 00:57:43,080 Speaker 6: and the desire to annex Canada, and Greemam. Other than that, 1012 00:57:43,120 --> 00:57:45,920 Speaker 6: the book really did a pretty good job of capturing 1013 00:57:46,720 --> 00:57:49,400 Speaker 6: where the MAGA movement was going and where Trump was going. 1014 00:57:50,800 --> 00:57:53,640 Speaker 1: Speaker New Gingers, we appreciate the time, have a good weekend. 1015 00:57:53,920 --> 00:57:57,280 Speaker 1: The book Trump's Triumph, America's greatest comeback, and we hope 1016 00:57:57,280 --> 00:57:59,200 Speaker 1: you're having a lot of fun on the road promoting it. 1017 00:57:59,320 --> 00:58:00,600 Speaker 2: And thanks for time today. 1018 00:58:01,720 --> 00:58:02,640 Speaker 5: Thank you, Take care. 1019 00:58:03,800 --> 00:58:07,240 Speaker 1: Speak of New Gingrich James James Carey, that's a very 1020 00:58:07,240 --> 00:58:10,080 Speaker 1: big difference, joined the United States Marine Corps after being 1021 00:58:10,120 --> 00:58:13,360 Speaker 1: inspired by his grandfather, who also served our nation. I 1022 00:58:13,440 --> 00:58:15,920 Speaker 1: also want to mention right off the top. I know 1023 00:58:16,000 --> 00:58:17,640 Speaker 1: I mentioned it earlier. I don't think I mentioned it 1024 00:58:17,680 --> 00:58:21,320 Speaker 1: this hour. It's eighty first anniversary of D Day, and 1025 00:58:21,480 --> 00:58:23,479 Speaker 1: I hope you'll take a little bit of time, as 1026 00:58:23,560 --> 00:58:26,680 Speaker 1: I know so many people at Tunnel to Towers will. 1027 00:58:27,000 --> 00:58:28,400 Speaker 1: I hope you'll take a little bit of time to 1028 00:58:28,560 --> 00:58:32,000 Speaker 1: think about the legacy of all the bravery that we 1029 00:58:32,080 --> 00:58:37,640 Speaker 1: saw on June sixth, nineteen forty four, as all of 1030 00:58:37,680 --> 00:58:40,760 Speaker 1: those men stepped out into the face of the Nazi 1031 00:58:40,800 --> 00:58:43,360 Speaker 1: guns all over Normandy eighty. 1032 00:58:43,080 --> 00:58:43,720 Speaker 2: One years ago. 1033 00:58:43,840 --> 00:58:47,240 Speaker 1: Today, I guarantee if Frank Siller, who started Tunnel to 1034 00:58:47,240 --> 00:58:48,720 Speaker 1: Towers is thinking about it. 1035 00:58:48,840 --> 00:58:49,800 Speaker 2: I know him well. 1036 00:58:49,960 --> 00:58:52,439 Speaker 1: I guarantee you he's spending part of his day thinking 1037 00:58:52,480 --> 00:58:55,840 Speaker 1: about the sacrifices those guys made and about people like 1038 00:58:55,920 --> 00:58:58,680 Speaker 1: James Carey, who joined the United States Marine Corps after 1039 00:58:58,720 --> 00:59:01,840 Speaker 1: being inspired by his grandfather, who also served our nation. 1040 00:59:02,320 --> 00:59:05,440 Speaker 1: James loved being a marine, but his life would change forever. 1041 00:59:05,600 --> 00:59:09,600 Speaker 1: During a training exercise, he lost consciousness nearly drowned. The 1042 00:59:09,720 --> 00:59:13,120 Speaker 1: incident resulted in a brain injury that left him blind 1043 00:59:13,280 --> 00:59:16,360 Speaker 1: and unable to use, his body, susceptible to memory loss, 1044 00:59:16,440 --> 00:59:19,040 Speaker 1: and it even brought on dementia. The Tunnel of the 1045 00:59:19,040 --> 00:59:22,800 Speaker 1: Towers Foundation built James especially adapted smart home to enable 1046 00:59:22,880 --> 00:59:25,840 Speaker 1: him to live more independently. Thanks to the generosity of 1047 00:59:25,880 --> 00:59:28,400 Speaker 1: friends like you, the lives of America's heroes and their 1048 00:59:28,400 --> 00:59:32,080 Speaker 1: families are being improved. James Carey and so many others 1049 00:59:32,200 --> 00:59:36,400 Speaker 1: offer service members first responders, so many people offering the 1050 00:59:36,480 --> 00:59:40,320 Speaker 1: ultimate sacrifice have paid a high price to keep keep 1051 00:59:40,320 --> 00:59:43,400 Speaker 1: our country and our community safe. Through Tunnel the Towers, 1052 00:59:43,440 --> 00:59:46,120 Speaker 1: friends like you have said thank you not only through words, 1053 00:59:46,160 --> 00:59:49,280 Speaker 1: but also through actions. America's heroes need your help now 1054 00:59:49,320 --> 00:59:52,720 Speaker 1: more than ever. Help heroes like James and their families 1055 00:59:53,040 --> 00:59:55,520 Speaker 1: donate eleven dollars a month to Tunnel to the Towers 1056 00:59:55,560 --> 00:59:57,080 Speaker 1: at t twot dot org. 1057 00:59:57,360 --> 01:00:00,400 Speaker 2: That's T the number two t I don't work.