1 00:00:00,120 --> 00:00:04,480 Speaker 1: The Team forty seven podcast is sponsored by Good Ranchers. 2 00:00:04,120 --> 00:00:06,320 Speaker 2: Making the American Farm Strong Again. 3 00:00:08,800 --> 00:00:12,959 Speaker 3: Team forty seven with Clay and Buck starts now. 4 00:00:13,760 --> 00:00:18,320 Speaker 4: Senator Marsha Blackburn of the Great State of Tennessee joins us. 5 00:00:18,360 --> 00:00:20,239 Speaker 4: Senator Blackburn always good to chat with you. 6 00:00:21,560 --> 00:00:24,000 Speaker 5: Well, it is so good to chat with you. And 7 00:00:24,120 --> 00:00:27,240 Speaker 5: of course we've been a little bit busy here in DC. 8 00:00:28,200 --> 00:00:31,560 Speaker 4: Yes, and some good things happening. I think so often 9 00:00:31,640 --> 00:00:34,720 Speaker 4: in the world of commentary and talk radio, we have 10 00:00:34,840 --> 00:00:39,360 Speaker 4: to not only point out the serial failings of the Democrats, 11 00:00:39,360 --> 00:00:41,680 Speaker 4: but try to prod the Republicans to move a little 12 00:00:41,720 --> 00:00:44,400 Speaker 4: faster or a little further on something. But in this case, 13 00:00:44,920 --> 00:00:46,640 Speaker 4: I think a little bit of a golf clap may 14 00:00:46,640 --> 00:00:49,159 Speaker 4: be necessary, a little bit of a high five. The 15 00:00:49,360 --> 00:00:53,400 Speaker 4: Senate has pushed forward this recision package. Tell us a 16 00:00:53,400 --> 00:00:57,280 Speaker 4: bit about what's contained and how does it feel to 17 00:00:57,320 --> 00:00:59,760 Speaker 4: be able to be a part of the Senate Senator 18 00:01:00,240 --> 00:01:02,840 Speaker 4: as they do something that Republicans have wanted to do 19 00:01:02,960 --> 00:01:05,759 Speaker 4: for pretty much my entire adult life. 20 00:01:06,120 --> 00:01:09,479 Speaker 5: Well, you're right about that, and I was looking at 21 00:01:09,520 --> 00:01:13,479 Speaker 5: something this week. Ronald Reagan started to push to try 22 00:01:13,520 --> 00:01:19,200 Speaker 5: to defund NPR and the Corporation for Public Broadcasts, and 23 00:01:19,319 --> 00:01:23,480 Speaker 5: of course we know that many times they have a 24 00:01:23,720 --> 00:01:29,600 Speaker 5: very biased view. They are anti conservative, and you can 25 00:01:29,680 --> 00:01:31,759 Speaker 5: see it when you go through and look at how 26 00:01:31,800 --> 00:01:36,760 Speaker 5: they covered the Democrat Convention and the Republican Convention. The 27 00:01:36,840 --> 00:01:41,440 Speaker 5: Democrat Convention was nearly all positive coverage and the Republican 28 00:01:41,520 --> 00:01:45,720 Speaker 5: nearly all negative. Taxpayers do not want their funds to 29 00:01:45,800 --> 00:01:50,400 Speaker 5: be used for the Corporation for Public Broadcasts, addressing that, 30 00:01:51,000 --> 00:01:55,120 Speaker 5: addressing some of this wasteful spending that has taken place 31 00:01:55,200 --> 00:02:00,880 Speaker 5: through USAID and the State Department. When you look at 32 00:02:00,960 --> 00:02:05,840 Speaker 5: vegan food for Zambia, our electric buses in Rwanda, our 33 00:02:06,000 --> 00:02:10,760 Speaker 5: voter ID programs in Haiti, then and the list goes 34 00:02:10,840 --> 00:02:14,000 Speaker 5: on and on. We could talk for hours of things 35 00:02:14,040 --> 00:02:19,079 Speaker 5: that we were able to uncover that these agencies were 36 00:02:19,120 --> 00:02:23,000 Speaker 5: taking their appropriated funds for and spending the months, and 37 00:02:23,120 --> 00:02:26,160 Speaker 5: taxpayers don't want their hard earned dollars going for that. 38 00:02:26,800 --> 00:02:31,160 Speaker 5: So nine billion out of this year's by budget, drawing 39 00:02:31,280 --> 00:02:36,200 Speaker 5: a red line through those discretionary spending items, which is 40 00:02:36,240 --> 00:02:39,760 Speaker 5: what recisions are for. And then if you say out 41 00:02:39,760 --> 00:02:42,880 Speaker 5: of a ten year budget window all of that is gone, 42 00:02:43,200 --> 00:02:47,359 Speaker 5: that's about ninety billion dollars in shavings. 43 00:02:48,000 --> 00:02:50,960 Speaker 1: We're talking to Center Marshall Blackburn about all of the 44 00:02:51,200 --> 00:02:56,920 Speaker 1: successes that are taking place. Trump basically ran on economy, 45 00:02:57,200 --> 00:03:01,280 Speaker 1: border crime. It seems like he is on all three 46 00:03:01,320 --> 00:03:03,960 Speaker 1: of those fronts, and I know sometimes they overlap. So, 47 00:03:04,000 --> 00:03:07,080 Speaker 1: for instance, the border and crime, we certainly know they're illegal, 48 00:03:07,200 --> 00:03:11,240 Speaker 1: violent perpetrators of crimes that should be removed from this country. 49 00:03:11,720 --> 00:03:14,600 Speaker 1: Can you remember, you've been in politics for a little 50 00:03:14,600 --> 00:03:18,440 Speaker 1: while now, can you remember a more consequential in terms 51 00:03:18,440 --> 00:03:22,800 Speaker 1: of delivering results on what someone ran on first six 52 00:03:22,840 --> 00:03:25,080 Speaker 1: months for a president than what we have seen so 53 00:03:25,160 --> 00:03:25,920 Speaker 1: far from Trump? 54 00:03:26,280 --> 00:03:27,320 Speaker 2: Because I can't. 55 00:03:28,080 --> 00:03:33,200 Speaker 5: I cannot the way he has has really buckled down. 56 00:03:33,320 --> 00:03:35,400 Speaker 5: And you know, Clay, we've talked about this a lot 57 00:03:35,440 --> 00:03:38,440 Speaker 5: in the last week, as we remembered a year ago 58 00:03:38,640 --> 00:03:44,640 Speaker 5: on Sunday, that assassination attempt. He has been very intentional, 59 00:03:45,000 --> 00:03:49,120 Speaker 5: very purposeful. He made promises, he has kept those promises. 60 00:03:49,560 --> 00:03:53,160 Speaker 5: He's dealing with inflation, he is dealing with tariffs, he's 61 00:03:53,160 --> 00:03:56,520 Speaker 5: dealing with our standing in the world. He has secured 62 00:03:56,560 --> 00:04:00,800 Speaker 5: that southern border. It is the lowest illegal entry into 63 00:04:00,840 --> 00:04:05,680 Speaker 5: this country we have ever seen. And we know that 64 00:04:06,840 --> 00:04:11,120 Speaker 5: he is making certain that things get done. We're rebuilding 65 00:04:11,520 --> 00:04:16,400 Speaker 5: the military, we are addressing waste, fraud and abuse in 66 00:04:16,520 --> 00:04:20,720 Speaker 5: government programs. That is what people voted for. He is 67 00:04:20,880 --> 00:04:25,120 Speaker 5: delivering and it is a joy to work with him, 68 00:04:26,160 --> 00:04:29,360 Speaker 5: and when you see every single day how he is 69 00:04:29,440 --> 00:04:33,039 Speaker 5: sending power and authority and money back to the states, 70 00:04:33,440 --> 00:04:37,240 Speaker 5: getting it out of DC, draining the swamp, which he 71 00:04:37,360 --> 00:04:41,320 Speaker 5: said he would do, and sending power back to the people, 72 00:04:41,360 --> 00:04:47,120 Speaker 5: whether it's education or energy, or regulations or healthcare or benefits, 73 00:04:47,720 --> 00:04:51,480 Speaker 5: and saying, here, let's get it out of DC. Let's 74 00:04:51,560 --> 00:04:53,920 Speaker 5: get this money back where it belongs. 75 00:04:55,360 --> 00:04:57,560 Speaker 1: I think, I know I did when you put out 76 00:04:57,600 --> 00:05:00,800 Speaker 1: I think it was a twenty point plan for President 77 00:05:00,839 --> 00:05:05,080 Speaker 1: Trump is basically the Republican platform for twenty twenty four correct. 78 00:05:05,120 --> 00:05:09,960 Speaker 1: It was super succinct, It was very understandable. If you 79 00:05:10,000 --> 00:05:12,159 Speaker 1: go back and look at that, I think it's very 80 00:05:12,200 --> 00:05:15,279 Speaker 1: worthwhile maybe to bring that back around to circulate so 81 00:05:15,320 --> 00:05:18,560 Speaker 1: people can see it. It is one of the most 82 00:05:18,880 --> 00:05:22,760 Speaker 1: remarkably Hey, I'm going to do this, and then he's 83 00:05:22,800 --> 00:05:24,960 Speaker 1: delivered on it, and I get sometimes while he's a 84 00:05:25,000 --> 00:05:27,360 Speaker 1: little bit frustrated because I don't know that we've ever 85 00:05:27,360 --> 00:05:29,760 Speaker 1: seen anything like that. Lots of politicians say they're going 86 00:05:29,839 --> 00:05:32,240 Speaker 1: to do things and then they don't deliver. That's a 87 00:05:32,320 --> 00:05:36,080 Speaker 1: very transactional document, and he's delivered on virtually every point 88 00:05:36,120 --> 00:05:37,880 Speaker 1: on that document that you guys put out. 89 00:05:39,040 --> 00:05:41,159 Speaker 5: You're right about that, and it was a joy to 90 00:05:41,279 --> 00:05:44,479 Speaker 5: chair that platform committee for him, and he was very 91 00:05:44,560 --> 00:05:50,960 Speaker 5: much engaged with that and is delivering. And as we 92 00:05:51,000 --> 00:05:54,600 Speaker 5: did the big beautiful bill, no tax on tips or overtime, 93 00:05:54,720 --> 00:05:58,440 Speaker 5: and the provision I have worked on for years, no 94 00:05:58,560 --> 00:06:01,120 Speaker 5: tax on Social Security. And of course we do that 95 00:06:01,240 --> 00:06:07,680 Speaker 5: by a six thousand dollars bonus deduction per senior per year. 96 00:06:08,400 --> 00:06:11,560 Speaker 5: So a couple married filing jointly that are sixty five 97 00:06:11,560 --> 00:06:15,960 Speaker 5: and over, that's twelve thousand dollars in bonus income tax 98 00:06:16,160 --> 00:06:21,720 Speaker 5: deductions for that couple, and that allows them to utilize 99 00:06:21,760 --> 00:06:27,800 Speaker 5: those funds basically tax free. But President Trump made these promises, 100 00:06:28,120 --> 00:06:30,720 Speaker 5: he said this is what we're going to do, and 101 00:06:31,160 --> 00:06:36,040 Speaker 5: he is delivering on every point, and the American people 102 00:06:36,040 --> 00:06:40,920 Speaker 5: are responding. You see, his polling numbers are better than 103 00:06:40,960 --> 00:06:45,320 Speaker 5: they have ever been. The Democrats, our friends on the left, 104 00:06:45,480 --> 00:06:49,080 Speaker 5: have gone so far off the cliff on the left 105 00:06:49,560 --> 00:06:52,840 Speaker 5: that many of my friends who are independents and Democrats 106 00:06:52,880 --> 00:06:57,400 Speaker 5: are going, Oh my goodness, I can't go there with 107 00:06:57,600 --> 00:07:03,600 Speaker 5: them because of how radical they have become and some 108 00:07:03,680 --> 00:07:07,880 Speaker 5: of the socialist ideas that they have truly embraced and 109 00:07:08,080 --> 00:07:08,880 Speaker 5: are promoting. 110 00:07:10,320 --> 00:07:13,320 Speaker 4: Senator Blackburn, I know you're on the Judiciary Committee, and 111 00:07:14,160 --> 00:07:19,400 Speaker 4: a very interesting and certainly very qualified nominee just got 112 00:07:20,040 --> 00:07:23,000 Speaker 4: put through the Senate panel, right Emil Bove, who had 113 00:07:23,040 --> 00:07:25,880 Speaker 4: defended President Trump in the past, a former federal prosecutor. 114 00:07:26,160 --> 00:07:29,400 Speaker 4: I was wondering if you could speak to the level 115 00:07:29,440 --> 00:07:33,000 Speaker 4: of opposition to somebody who seems to be so eminently 116 00:07:33,080 --> 00:07:36,920 Speaker 4: qualified for the US Court of Appeals for the third 117 00:07:37,040 --> 00:07:42,360 Speaker 4: Circuit from Democrats is well, why are they so opposed 118 00:07:42,360 --> 00:07:44,320 Speaker 4: to this one? And then also just give us a 119 00:07:44,320 --> 00:07:48,320 Speaker 4: sense as to how the judge confirmation machinery in the 120 00:07:48,360 --> 00:07:52,400 Speaker 4: Senate is working under Trump's term. So far, are you 121 00:07:52,480 --> 00:07:54,640 Speaker 4: getting through the nominees you want to? 122 00:07:54,800 --> 00:07:56,360 Speaker 2: You need to? How's that all going? 123 00:07:57,280 --> 00:07:57,520 Speaker 6: Well? 124 00:07:57,520 --> 00:08:00,600 Speaker 5: We are working on some more today. In earlier this week, 125 00:08:00,640 --> 00:08:06,680 Speaker 5: we did the first Circuit Court appointee, and that is 126 00:08:07,120 --> 00:08:11,120 Speaker 5: Whitney Hermanndaffer out of Tennessee. She'll be on the sixth 127 00:08:11,160 --> 00:08:18,760 Speaker 5: Circuit and you're referencing Emil Bovi, and Emil had represented 128 00:08:18,920 --> 00:08:22,160 Speaker 5: President Trump at one point and had worked with Todd 129 00:08:22,200 --> 00:08:25,160 Speaker 5: Blanche and we got him out of committee today. The 130 00:08:25,240 --> 00:08:28,880 Speaker 5: Democrats were so upset about this, they did not want 131 00:08:28,920 --> 00:08:32,600 Speaker 5: to approve him because they felt like he had done this, 132 00:08:32,679 --> 00:08:36,440 Speaker 5: that or the other wrong. But but what they're going 133 00:08:36,520 --> 00:08:39,400 Speaker 5: to do is nitpick. They're going to try to find 134 00:08:39,480 --> 00:08:44,320 Speaker 5: something and something's wrong with everybody and everything that's related 135 00:08:44,360 --> 00:08:49,960 Speaker 5: to President Donald Trump because they have Trump Derangement syndrome. 136 00:08:50,120 --> 00:08:53,760 Speaker 5: It is alive, it is out there, they are living it. 137 00:08:54,960 --> 00:08:59,880 Speaker 5: And what we did, as the Democrats got up and 138 00:09:00,120 --> 00:09:04,560 Speaker 5: walked out after the vote had started, we continued the 139 00:09:04,679 --> 00:09:09,240 Speaker 5: vote and he was approved and he has Now he 140 00:09:09,320 --> 00:09:12,600 Speaker 5: will move to the floor for his confirmation vote, and 141 00:09:12,640 --> 00:09:16,120 Speaker 5: I hope we vote him very swiftly. Now the Democrats 142 00:09:16,520 --> 00:09:21,120 Speaker 5: are trying to hold up every US attorney, every US marshal, 143 00:09:21,679 --> 00:09:26,840 Speaker 5: every judicial appointment that we have because they want to 144 00:09:27,000 --> 00:09:32,160 Speaker 5: impair the ability of President Trump's administration to carry out 145 00:09:32,160 --> 00:09:40,120 Speaker 5: their agenda. So we are encouraging Senator Grassley to find 146 00:09:41,040 --> 00:09:46,520 Speaker 5: to force the issue of moving forward with these nominees. 147 00:09:46,800 --> 00:09:51,079 Speaker 5: Don't hold them over. Let's just as we do the hearings, 148 00:09:51,280 --> 00:09:54,840 Speaker 5: let's move them to the floor so we can get 149 00:09:54,880 --> 00:09:58,200 Speaker 5: them up for the vote vote, because the Democrats are 150 00:09:58,240 --> 00:10:03,480 Speaker 5: calling cloture on every single nominee, which for your circuit 151 00:10:03,559 --> 00:10:07,800 Speaker 5: judges is thirty hours on the clock and for the 152 00:10:07,840 --> 00:10:11,640 Speaker 5: others and for your US attorneys it's two hours. So 153 00:10:11,679 --> 00:10:13,680 Speaker 5: if they're not going to work with us, we should 154 00:10:13,679 --> 00:10:17,720 Speaker 5: be working all night, every night, and every weekend until 155 00:10:17,720 --> 00:10:19,000 Speaker 5: we get people confirmed. 156 00:10:19,720 --> 00:10:22,480 Speaker 1: We're talking to Marshall Blackburn. I want to finish, Senator 157 00:10:22,520 --> 00:10:25,520 Speaker 1: from Tennessee. I want to finish with this and I'm 158 00:10:25,520 --> 00:10:27,240 Speaker 1: going to be hammering at home because I think there's 159 00:10:27,280 --> 00:10:28,920 Speaker 1: a lot of New Yorkers listening right now, and I 160 00:10:28,920 --> 00:10:32,000 Speaker 1: know there's a lot of Californians. Senator Blackburn is the 161 00:10:32,080 --> 00:10:35,000 Speaker 1: primary reason why there is no state income tax in 162 00:10:35,040 --> 00:10:37,679 Speaker 1: the state of Tennessee. And for people out there who 163 00:10:37,720 --> 00:10:40,360 Speaker 1: are looking at Kami, Mom, Damie that's coming into New 164 00:10:40,440 --> 00:10:43,640 Speaker 1: York City, we've got a pretty good economic environment in 165 00:10:43,679 --> 00:10:45,320 Speaker 1: the state of Tennessee, wouldn't you suggest. 166 00:10:46,400 --> 00:10:49,679 Speaker 5: I think we have a great economic environment. And you know, Clay, 167 00:10:49,720 --> 00:10:53,040 Speaker 5: we talk a lot about how the leading that fight 168 00:10:53,120 --> 00:10:57,120 Speaker 5: against the state income tax in Tennessee and killing that 169 00:10:57,200 --> 00:11:00,400 Speaker 5: thing that required our state to go through through a 170 00:11:00,559 --> 00:11:04,680 Speaker 5: reset and look at the programs where we were spending 171 00:11:04,760 --> 00:11:10,560 Speaker 5: money and to actually reduce what we were spending because 172 00:11:10,600 --> 00:11:12,800 Speaker 5: we didn't have the funds. And we have a balanced 173 00:11:12,880 --> 00:11:17,720 Speaker 5: budget Amendment for our states. And I think that the 174 00:11:17,760 --> 00:11:24,360 Speaker 5: reason you see Tennessee regularly as the number one are 175 00:11:24,679 --> 00:11:28,760 Speaker 5: two or three or four state for business and relocations 176 00:11:29,240 --> 00:11:33,600 Speaker 5: and business growth and GDP growth, it is because we 177 00:11:33,800 --> 00:11:39,880 Speaker 5: are a well managed state and we have made certain 178 00:11:40,440 --> 00:11:44,360 Speaker 5: that we will never have a state income tax. We 179 00:11:44,440 --> 00:11:47,640 Speaker 5: actually now have it as a part of our state constitution. 180 00:11:48,679 --> 00:11:52,280 Speaker 3: You're listening to Team forty seven with Clay and Buck. 181 00:11:52,320 --> 00:11:56,800 Speaker 1: Alan Dershowitz with us now and Professor Dershowitz. We appreciate 182 00:11:56,800 --> 00:12:00,880 Speaker 1: you joining us. Read some of your editorial yesterday in 183 00:12:00,960 --> 00:12:03,680 Speaker 1: the Wall Street Journal, and I just want to start 184 00:12:03,720 --> 00:12:06,880 Speaker 1: with this question because probably the number one question that 185 00:12:06,920 --> 00:12:09,600 Speaker 1: this audience has before we dive into a few others. 186 00:12:09,640 --> 00:12:11,199 Speaker 2: You wrote about it in the editorial. 187 00:12:11,600 --> 00:12:15,880 Speaker 1: Elon Musk said Trump is in the Epstein files, this 188 00:12:16,040 --> 00:12:21,000 Speaker 1: larger Epstein universe of investigation. You say that is not 189 00:12:21,280 --> 00:12:24,679 Speaker 1: true based on what you know as the defense attorney 190 00:12:24,720 --> 00:12:28,680 Speaker 1: for Jeffrey Epstein for many years. What is Trump's role 191 00:12:28,920 --> 00:12:32,920 Speaker 1: or involvement in any way in this larger context. 192 00:12:33,320 --> 00:12:36,080 Speaker 6: There's no evidence that Trump is accused of having done 193 00:12:36,120 --> 00:12:43,160 Speaker 6: anything improper wrong sexual Donald Trump knew Jeffrey Epstein in 194 00:12:43,600 --> 00:12:46,840 Speaker 6: Palm Beach, they hung out together, he said some nice 195 00:12:46,840 --> 00:12:50,760 Speaker 6: things about him in an article for Vanity Fair, and 196 00:12:50,800 --> 00:12:53,319 Speaker 6: then they got into a fight either over a real 197 00:12:53,440 --> 00:12:57,560 Speaker 6: estate matter or about an impropriety of Epstein in relation 198 00:12:57,800 --> 00:13:00,000 Speaker 6: to the order of one of the guests in my life, 199 00:13:00,760 --> 00:13:04,439 Speaker 6: and their relationship terminated. Of course, he's in the files. 200 00:13:04,800 --> 00:13:08,400 Speaker 6: Half the people in Palm Beacher in the files. I'm 201 00:13:08,400 --> 00:13:10,480 Speaker 6: in the files. Of course, I flew on his airplane. 202 00:13:10,520 --> 00:13:12,840 Speaker 6: I was his lawyer. All of his lawyers flew on 203 00:13:12,880 --> 00:13:16,240 Speaker 6: the airplane. But we I never flew with anybody who 204 00:13:16,360 --> 00:13:19,560 Speaker 6: was young or underage or anything like that. So there's 205 00:13:19,600 --> 00:13:23,800 Speaker 6: a big confusion about the file. The file contains, you know, 206 00:13:25,240 --> 00:13:29,160 Speaker 6: so many people, thousands and thousands and thousands of innocent people. 207 00:13:30,160 --> 00:13:33,440 Speaker 6: And then there's the accusation. So there are two issues 208 00:13:33,480 --> 00:13:37,120 Speaker 6: as to the accusation. There is no client list. Let's 209 00:13:37,200 --> 00:13:41,200 Speaker 6: be very clear. Jeffrey Epstein never compiled the list. Of 210 00:13:41,240 --> 00:13:45,920 Speaker 6: people to whom he allegedly trafficked any young woman. It 211 00:13:46,040 --> 00:13:50,280 Speaker 6: just doesn't exist. It never existed, and I've never said 212 00:13:50,280 --> 00:13:52,880 Speaker 6: it existed. Nobody I know has ever said it existed. 213 00:13:53,000 --> 00:13:55,240 Speaker 6: Nobody has ever seen it. What there is is this. 214 00:13:55,640 --> 00:13:59,080 Speaker 6: The FBI interviewed some of the alleged victims, and the 215 00:13:59,120 --> 00:14:04,280 Speaker 6: alleged victims named some people, and those names have been redacted. 216 00:14:04,360 --> 00:14:07,160 Speaker 6: I know who those people are. There's nobody in the 217 00:14:07,360 --> 00:14:12,160 Speaker 6: current government. There's no Donald Trump, there's Bill Clinton. There's nobody. 218 00:14:12,200 --> 00:14:17,520 Speaker 6: Give you an example. A woman named Sarah Ransom wrote 219 00:14:17,520 --> 00:14:20,960 Speaker 6: a series of emails to the New York Posts. To 220 00:14:21,080 --> 00:14:24,800 Speaker 6: Marine Callahan of The New York Post. In it, she 221 00:14:24,960 --> 00:14:29,280 Speaker 6: accused Hillary Clinton, Bill Clinton, and Richard Branson of having 222 00:14:29,400 --> 00:14:32,440 Speaker 6: underage sex with minors and said she had videos of them. 223 00:14:32,760 --> 00:14:34,520 Speaker 6: This was in the run up to the election of 224 00:14:34,560 --> 00:14:38,440 Speaker 6: two tents sixteen. Wow. Wow, wow, big news. So they 225 00:14:38,440 --> 00:14:43,560 Speaker 6: did an investigation and this woman, Sarah Ransom, admitted to 226 00:14:44,360 --> 00:14:46,040 Speaker 6: The New Yorker that she made up the whole story. 227 00:14:46,160 --> 00:14:48,560 Speaker 6: Come to hop Cloth. She didn't know anybody. She just 228 00:14:48,600 --> 00:14:50,720 Speaker 6: made up a story because she wanted to have something 229 00:14:50,720 --> 00:14:53,600 Speaker 6: on Jeffrey Epstein. So that's the kind of thing you get, 230 00:14:53,680 --> 00:14:57,920 Speaker 6: these kinds of sake accusations, and of course the courts 231 00:14:58,920 --> 00:15:02,040 Speaker 6: don't reveal fake accuisitions because they want to protect the 232 00:15:02,080 --> 00:15:05,840 Speaker 6: so called victims. Now, Sarah Ranson was not a victim. 233 00:15:05,880 --> 00:15:09,920 Speaker 6: She's a perpetrator. She falsely accused people and admit it. 234 00:15:10,200 --> 00:15:15,320 Speaker 6: But she is being protected and the people that she 235 00:15:15,480 --> 00:15:19,720 Speaker 6: accused or not being protected. So that's what is going 236 00:15:19,760 --> 00:15:22,120 Speaker 6: on here, and that's why some of the courts have 237 00:15:22,200 --> 00:15:29,160 Speaker 6: been so concerned about revealing half truth accusations without going 238 00:15:29,200 --> 00:15:31,200 Speaker 6: and looking at who the accusers are. 239 00:15:32,040 --> 00:15:37,960 Speaker 4: Professor Dershowitz on the issue of the allegations conspiracy, however 240 00:15:38,040 --> 00:15:44,120 Speaker 4: one wants to frame it of foreign intelligence contacts. Specifically, 241 00:15:44,400 --> 00:15:48,440 Speaker 4: the allegation has been leveled by some pretty big voices 242 00:15:48,480 --> 00:15:52,480 Speaker 4: out there. You mentioned, I think in your editorial that 243 00:15:52,560 --> 00:15:55,800 Speaker 4: this has happened, that they're saying it's Israel, that there's 244 00:15:55,920 --> 00:15:59,120 Speaker 4: Masad connection here, and you address that. Could you lay 245 00:15:59,120 --> 00:16:03,200 Speaker 4: out your case here as a former lawyer for Jeffrey Epstein, 246 00:16:03,800 --> 00:16:07,760 Speaker 4: why you say the foreign intel thing just doesn't hold water? 247 00:16:08,680 --> 00:16:11,040 Speaker 6: Well? First, I was also a former lawyer for the Mosad. 248 00:16:11,160 --> 00:16:14,680 Speaker 6: I represented the Masad back in the day when five 249 00:16:14,680 --> 00:16:19,000 Speaker 6: of their agents were arrested in Cyprus, and the Mosad 250 00:16:19,280 --> 00:16:22,240 Speaker 6: retained me pro bono to represent these five people, and 251 00:16:22,320 --> 00:16:26,760 Speaker 6: I got them out. I have good sources in Israeli intelligence, 252 00:16:26,960 --> 00:16:30,880 Speaker 6: and I can tell you with one hundred percent assurance, 253 00:16:31,240 --> 00:16:35,920 Speaker 6: there's never been any contact between Israeli intelligence or Israel 254 00:16:36,840 --> 00:16:41,480 Speaker 6: in general and Jeffrey Epstein. He became friendly after all 255 00:16:41,520 --> 00:16:45,080 Speaker 6: this happened with a Brock, former prime minister. They did 256 00:16:45,120 --> 00:16:51,359 Speaker 6: business dealings together, but there's never been any contact with intelligence. 257 00:16:51,360 --> 00:16:54,760 Speaker 6: And the former Prime Minister of Israel, Bennett looked into 258 00:16:54,800 --> 00:16:58,760 Speaker 6: it again and stated on behalf of Israel basically that 259 00:16:58,840 --> 00:17:01,320 Speaker 6: there's no truth to it all. And this is logical. 260 00:17:01,360 --> 00:17:03,920 Speaker 6: It would be impossible. Why if he had worked for 261 00:17:03,960 --> 00:17:08,720 Speaker 6: any intelligence agency. Mosad cia ed the agency. Who's the 262 00:17:08,760 --> 00:17:12,199 Speaker 6: first person who would have told his lawyers, me and 263 00:17:12,240 --> 00:17:13,960 Speaker 6: the other lawyers when we were trying to get a 264 00:17:14,000 --> 00:17:16,280 Speaker 6: good deal for him. The best thing we could have 265 00:17:16,359 --> 00:17:18,200 Speaker 6: had going for us is, oh my god, the guy 266 00:17:18,240 --> 00:17:21,360 Speaker 6: worked for an intelligence agency. Leave him alone. He never 267 00:17:21,440 --> 00:17:24,760 Speaker 6: told us that, and quite the opposite, he denied any 268 00:17:24,800 --> 00:17:28,480 Speaker 6: information that would be helpful to him along those lines. 269 00:17:28,520 --> 00:17:30,800 Speaker 6: So it's a completely made up story. Now I know 270 00:17:30,840 --> 00:17:33,280 Speaker 6: the reason for the made up story. Made up story 271 00:17:33,520 --> 00:17:37,560 Speaker 6: had the following basis. His former girlfriend, Gallaine Maxwell, is 272 00:17:37,600 --> 00:17:41,160 Speaker 6: now in prisons. Father, Robert Maxwell, who was a publisher 273 00:17:41,160 --> 00:17:44,640 Speaker 6: in England, may well have had some connections to the Mosad. 274 00:17:45,320 --> 00:17:50,080 Speaker 6: And so Tucker Carlson probably said, oh my god, of 275 00:17:50,160 --> 00:17:53,080 Speaker 6: his girlfriend's father had connections. He probably did too. But 276 00:17:53,080 --> 00:17:56,840 Speaker 6: then Tucker Carlson's goes further and says, everybody in Washington 277 00:17:57,000 --> 00:18:00,920 Speaker 6: knows everybody in Washington knows that works for the Mosside. 278 00:18:01,320 --> 00:18:05,080 Speaker 6: That's just blatant bigotry and it's just wrong, and it's 279 00:18:05,160 --> 00:18:09,160 Speaker 6: just not credible. And he ought to take that back. 280 00:18:09,320 --> 00:18:12,439 Speaker 6: Nobody in Washington knows that. The CIA doesn't know it, 281 00:18:12,480 --> 00:18:15,000 Speaker 6: the White House doesn't know it. I don't know anybody 282 00:18:15,760 --> 00:18:19,720 Speaker 6: credible who believes that Jeffrey Epstein would have been hired 283 00:18:21,359 --> 00:18:24,000 Speaker 6: by the Mosad or by the CIA. It's absurd. 284 00:18:24,840 --> 00:18:27,959 Speaker 1: A lot of people point to the initial prosecution. You 285 00:18:27,960 --> 00:18:31,800 Speaker 1: were the defense attorney for Jeffrey Epstein that was called 286 00:18:31,840 --> 00:18:35,840 Speaker 1: a quote sweetheart deal. You say Epstein was actually upset 287 00:18:35,920 --> 00:18:38,280 Speaker 1: with the deal that he got. How does that deal 288 00:18:38,400 --> 00:18:42,399 Speaker 1: compare to you to other criminal defendants? Was it a 289 00:18:42,440 --> 00:18:44,600 Speaker 1: sweetheart deal that he got initially. 290 00:18:44,840 --> 00:18:46,720 Speaker 6: No, in fact, it was a worse deal. What we 291 00:18:46,760 --> 00:18:49,600 Speaker 6: did is we did a complete analysis of every single 292 00:18:49,680 --> 00:18:53,040 Speaker 6: case that was comparable. And remember, the only thing he 293 00:18:53,119 --> 00:18:55,640 Speaker 6: was charged with, the only thing he was charged with 294 00:18:56,480 --> 00:19:01,160 Speaker 6: was having sexual contact, not sexual intercourse, sexual contact massages 295 00:19:01,760 --> 00:19:05,280 Speaker 6: with two women, one way above the age of consent 296 00:19:06,320 --> 00:19:08,679 Speaker 6: and the other but for money, so it was a crime, 297 00:19:09,359 --> 00:19:13,160 Speaker 6: and the other I think three or four months below 298 00:19:13,200 --> 00:19:16,480 Speaker 6: the aging consent seventeen and a half years old. We 299 00:19:16,520 --> 00:19:20,160 Speaker 6: did a thorough analysis. I did that analysis personally of 300 00:19:20,280 --> 00:19:23,400 Speaker 6: every case in Broward County and Palm Beach County and 301 00:19:23,600 --> 00:19:26,639 Speaker 6: Miami and Dade County of people who were charged with 302 00:19:26,960 --> 00:19:29,800 Speaker 6: that kind of thing. Not a single one of them 303 00:19:29,880 --> 00:19:34,680 Speaker 6: got any prison time. So we went to the the 304 00:19:34,760 --> 00:19:37,560 Speaker 6: people in charge and we said, you know, fair is fair. 305 00:19:38,600 --> 00:19:43,159 Speaker 6: Let's give him a sentence that corresponds to prepass sentences. Ultimately, 306 00:19:43,240 --> 00:19:46,199 Speaker 6: we worked at a deal where he sentenced to eighteen 307 00:19:46,240 --> 00:19:50,320 Speaker 6: months in jail and he'd have to register as a 308 00:19:50,320 --> 00:19:54,080 Speaker 6: sex offender. Epstein was furious at that. He fired me, 309 00:19:54,160 --> 00:19:58,000 Speaker 6: wouldn't pay my legal fee, thought I was a terrible 310 00:19:58,040 --> 00:20:00,960 Speaker 6: lawyer because I got him such a bad deal, you know, 311 00:20:01,000 --> 00:20:04,200 Speaker 6: I thought it was a pretty good deal. And as 312 00:20:04,240 --> 00:20:06,720 Speaker 6: a result of that deal, By the way, that's how 313 00:20:06,720 --> 00:20:10,960 Speaker 6: the Feds got involved, because the police officials in Palm 314 00:20:10,960 --> 00:20:13,280 Speaker 6: Beach County thought they could do better, and so they 315 00:20:13,320 --> 00:20:14,040 Speaker 6: went to the sort. 316 00:20:13,920 --> 00:20:16,119 Speaker 4: Well, they thought Professor Drswoods, they thought there was a 317 00:20:16,160 --> 00:20:17,359 Speaker 4: lot of others. I mean, there were a lot of 318 00:20:17,359 --> 00:20:20,880 Speaker 4: other allegations of more serious stuff that were out there 319 00:20:20,920 --> 00:20:22,120 Speaker 4: that certainly came to light later. 320 00:20:22,240 --> 00:20:24,280 Speaker 6: He was that's right, but he was not charged with 321 00:20:24,320 --> 00:20:27,080 Speaker 6: any of that right, so he pleaded guilty. The only 322 00:20:27,119 --> 00:20:30,480 Speaker 6: things he's ever pleaded guilty to, or these two charges 323 00:20:30,520 --> 00:20:33,240 Speaker 6: involving a seventeen year old and I don't remember twenty 324 00:20:33,240 --> 00:20:35,479 Speaker 6: one or twenty two year old something like that, but 325 00:20:35,480 --> 00:20:37,919 Speaker 6: those are the only heatings have ever ever charged with 326 00:20:38,280 --> 00:20:41,920 Speaker 6: until later, and then years later, I was not his 327 00:20:42,040 --> 00:20:44,840 Speaker 6: lawyer after that. I stopped being his lawyer once this 328 00:20:45,040 --> 00:20:47,720 Speaker 6: was over, the first case was over, he was charged 329 00:20:47,720 --> 00:20:50,800 Speaker 6: with a lot more. By the way, the reason that 330 00:20:50,840 --> 00:20:53,160 Speaker 6: he was charged with the state case, not a federal 331 00:20:53,200 --> 00:20:55,880 Speaker 6: case back in two thousand and six, because they had 332 00:20:55,920 --> 00:20:58,840 Speaker 6: no proof that he had ever taken women across state 333 00:20:58,880 --> 00:21:02,280 Speaker 6: lines All the young people that he had any contact 334 00:21:02,280 --> 00:21:08,440 Speaker 6: with were from Palm Beach. These were mostly teenagers who 335 00:21:08,480 --> 00:21:10,600 Speaker 6: worked in what were called I had never heard this 336 00:21:10,680 --> 00:21:12,680 Speaker 6: term before, but I learned that when I was doing 337 00:21:12,720 --> 00:21:19,919 Speaker 6: the investigation whack shacks. They were places in the West 338 00:21:19,920 --> 00:21:23,000 Speaker 6: Palm Beach where you'd go and pay one hundred dollars 339 00:21:23,080 --> 00:21:27,480 Speaker 6: and you'd get a happy ending massage. And so Epstein 340 00:21:27,720 --> 00:21:29,560 Speaker 6: would go and as people would go, and they'd go 341 00:21:29,600 --> 00:21:33,280 Speaker 6: to these young girls will make it one hundred bucks 342 00:21:33,320 --> 00:21:36,800 Speaker 6: and said, you know, we know a guy who'll give 343 00:21:36,840 --> 00:21:38,760 Speaker 6: you two hundred dollars if you do the same thing. 344 00:21:38,880 --> 00:21:41,600 Speaker 6: And that's how it started. So it was all local, 345 00:21:41,680 --> 00:21:44,160 Speaker 6: and they couldn't get him on federal charge because it's 346 00:21:44,200 --> 00:21:48,960 Speaker 6: not a crime to pay for sex locally. It's not 347 00:21:49,000 --> 00:21:51,280 Speaker 6: a federal crime, it's a state crime. So we pleaded 348 00:21:51,359 --> 00:21:52,160 Speaker 6: to that state crime. 349 00:21:52,520 --> 00:21:54,960 Speaker 1: We're talking to Professor Alan Derschowitz. I put up a poll. 350 00:21:55,320 --> 00:21:58,400 Speaker 1: Seventy percent of people who responded to that poll said 351 00:21:58,400 --> 00:22:04,000 Speaker 1: they believe that Aspateel Pam BONDI, Donald Trump are lying 352 00:22:04,400 --> 00:22:08,040 Speaker 1: about what's in the Epstein case in front of them 353 00:22:08,160 --> 00:22:12,440 Speaker 1: right now. I imagine that those same seventy percent are going 354 00:22:12,480 --> 00:22:14,920 Speaker 1: to say, well, of course, Alan Dershowitz is going to 355 00:22:15,040 --> 00:22:15,960 Speaker 1: lie now too. 356 00:22:16,600 --> 00:22:17,520 Speaker 2: What should happen? 357 00:22:19,040 --> 00:22:21,399 Speaker 6: What interests would I have in lying? I have no 358 00:22:21,600 --> 00:22:24,359 Speaker 6: interest in the case at this point. I've been completely 359 00:22:24,400 --> 00:22:28,679 Speaker 6: cleared and vindicated of anything improper or wrong. I'm just 360 00:22:28,720 --> 00:22:31,720 Speaker 6: there to try to straighten out the record. I know 361 00:22:31,840 --> 00:22:35,159 Speaker 6: the facts. I looked at the investigation. What should happen 362 00:22:35,400 --> 00:22:37,720 Speaker 6: is what I said should have happened from day one. 363 00:22:37,880 --> 00:22:41,440 Speaker 6: Everything should be revealed. But by everything, I mean not 364 00:22:41,520 --> 00:22:43,919 Speaker 6: only the accusations, some of which are false. We know 365 00:22:44,359 --> 00:22:48,560 Speaker 6: that the Sarah Ansom accusations were false. Everything should be revealed, 366 00:22:48,560 --> 00:22:52,840 Speaker 6: including the negative information about the accusers, and there's lots 367 00:22:52,840 --> 00:22:55,879 Speaker 6: of negative information about the accusers. Some of the accusers 368 00:22:56,440 --> 00:23:02,480 Speaker 6: ultimately helped Epstein recruit young women, and so everything should 369 00:23:02,480 --> 00:23:05,840 Speaker 6: come out. But what shouldn't happen is selective release. That is, 370 00:23:06,080 --> 00:23:10,119 Speaker 6: just the accusations without the negative information about the accusers. 371 00:23:10,840 --> 00:23:13,639 Speaker 6: That would be unfair with fairst to reproduce everything so 372 00:23:13,720 --> 00:23:18,280 Speaker 6: that the public court of public opinion people can make 373 00:23:18,359 --> 00:23:20,960 Speaker 6: fair judgment as to who's guilty and who's not. Look, 374 00:23:21,240 --> 00:23:23,920 Speaker 6: we know the names of people who've been accused. They 375 00:23:23,920 --> 00:23:27,920 Speaker 6: are the Some of the most distinguished people these public records. 376 00:23:28,880 --> 00:23:31,400 Speaker 6: George Mitchell, the man who wrote about peace in Ireland 377 00:23:31,400 --> 00:23:36,560 Speaker 6: and peace in the former Yugoslavia. He was accused of 378 00:23:36,600 --> 00:23:42,600 Speaker 6: having unprotected sex on a half a dozen occasions. Another 379 00:23:42,640 --> 00:23:45,600 Speaker 6: person was Bill Richardson that's been made public. He was 380 00:23:45,600 --> 00:23:48,800 Speaker 6: the former ambassador to the UN. Another person was a 381 00:23:48,880 --> 00:23:54,640 Speaker 6: whod barack. And so we don't know whether there's any 382 00:23:54,680 --> 00:23:58,080 Speaker 6: truth to any of these accusations. We know they're out there, 383 00:23:58,119 --> 00:24:00,720 Speaker 6: and you know they've been covered wide in the press. 384 00:24:00,800 --> 00:24:05,720 Speaker 6: The Miami Harold wrote article after article after article by 385 00:24:05,760 --> 00:24:09,679 Speaker 6: a totally one sided and biased a journalist who was 386 00:24:09,680 --> 00:24:12,960 Speaker 6: trying to get the peel with surprise and didn't because 387 00:24:13,000 --> 00:24:16,200 Speaker 6: her reporting was not accurate. 388 00:24:16,920 --> 00:24:19,480 Speaker 1: The last question about this for were you here and 389 00:24:19,520 --> 00:24:22,199 Speaker 1: we appreciate the time. Has President Trump asked your advice 390 00:24:22,280 --> 00:24:25,400 Speaker 1: about what he should do? And just to reiterate, he 391 00:24:25,520 --> 00:24:28,520 Speaker 1: is not named, accused anything like that based on everything 392 00:24:28,520 --> 00:24:29,000 Speaker 1: you've seen. 393 00:24:29,760 --> 00:24:32,080 Speaker 6: No, no, not at all. Not. I can tell you 394 00:24:32,119 --> 00:24:35,600 Speaker 6: categorically he's not accused, and no he's not sort my advice. 395 00:24:36,480 --> 00:24:39,080 Speaker 6: I have written my op ed in the Wall Street Journal, 396 00:24:39,119 --> 00:24:41,600 Speaker 6: I've talked about it in shows like you words. I'm 397 00:24:42,320 --> 00:24:44,680 Speaker 6: you know, right now on a book tour promoting my book, 398 00:24:44,800 --> 00:24:49,600 Speaker 6: The Preventive State, and so I'm anxious to have television 399 00:24:49,640 --> 00:24:52,200 Speaker 6: and radio interviews. And while i was on my book 400 00:24:52,240 --> 00:24:55,439 Speaker 6: tour for The Preventive State, this story broke and so 401 00:24:55,520 --> 00:24:57,639 Speaker 6: I've been talking about the story more than I've been 402 00:24:57,640 --> 00:24:58,400 Speaker 6: talking about my book. 403 00:24:58,440 --> 00:25:02,200 Speaker 1: The Team forty seven podcast is sponsored by Good Ranchers 404 00:25:02,320 --> 00:25:04,480 Speaker 1: Making the American Farm Strong Again. 405 00:25:05,320 --> 00:25:08,639 Speaker 3: You're listening to Team forty seven with Clay and Buck. 406 00:25:09,800 --> 00:25:14,200 Speaker 1: We are joined now by Senator Dave McCormick of Pennsylvania. 407 00:25:14,240 --> 00:25:19,359 Speaker 1: They just had a major AI event, Energy and Innovation Summit, 408 00:25:19,880 --> 00:25:24,119 Speaker 1: lots of AI money pouring into the state of Pennsylvania. 409 00:25:24,280 --> 00:25:28,960 Speaker 1: And Senator appreciate you joining us. And I know that 410 00:25:29,080 --> 00:25:32,760 Speaker 1: you have a good, huge, successful business background, and Buck 411 00:25:32,760 --> 00:25:36,359 Speaker 1: and I were talking about AI writ large, So before 412 00:25:36,400 --> 00:25:39,480 Speaker 1: we have you dive into the Senate and everything else 413 00:25:39,520 --> 00:25:42,360 Speaker 1: that you're doing there, I'm just curious, as you look 414 00:25:42,400 --> 00:25:46,560 Speaker 1: at this through the lens of a business guy, is 415 00:25:46,640 --> 00:25:50,080 Speaker 1: it in your mind, AI and its impact going to 416 00:25:50,160 --> 00:25:53,800 Speaker 1: be transformational on a level like the Internet was in 417 00:25:53,840 --> 00:25:57,119 Speaker 1: the nineties to the culture in the world. Do you 418 00:25:57,160 --> 00:26:00,160 Speaker 1: think more less, where are we What do you think 419 00:26:00,160 --> 00:26:02,920 Speaker 1: from a business perspective, people should know about AI? 420 00:26:03,760 --> 00:26:06,280 Speaker 7: Hey, good morning, guys, how are your I guess, good afternoon. 421 00:26:07,000 --> 00:26:10,199 Speaker 7: Thanks for having me. Yeah. I think this is the 422 00:26:10,240 --> 00:26:14,040 Speaker 7: next great industrial revolution. I think, and and the stakes 423 00:26:14,040 --> 00:26:18,880 Speaker 7: are so high because it has huge implications for our 424 00:26:18,960 --> 00:26:23,560 Speaker 7: economic situation, our our economic opportunity, has huge implications for 425 00:26:23,680 --> 00:26:26,919 Speaker 7: national security. Were we are in a fight. We are 426 00:26:26,920 --> 00:26:31,840 Speaker 7: in a battle with China for leadership in artificial intelligence, 427 00:26:31,960 --> 00:26:35,439 Speaker 7: and if we if we don't win that leadership battle, 428 00:26:36,160 --> 00:26:39,280 Speaker 7: we're going to have everything at risk, our infrastructure, our data, 429 00:26:40,000 --> 00:26:42,760 Speaker 7: our very way of life. It's that it's that significant. 430 00:26:43,440 --> 00:26:46,720 Speaker 7: And you know, the case that we made on Tuesday 431 00:26:46,760 --> 00:26:50,399 Speaker 7: with the President in Pittsburgh was that the intersection of 432 00:26:50,720 --> 00:26:55,439 Speaker 7: energy innovation and AI innovation is where the future lies 433 00:26:55,640 --> 00:26:58,880 Speaker 7: and that America has to win it both and if 434 00:26:59,359 --> 00:27:00,560 Speaker 7: if we're going to win, and we have to win 435 00:27:00,600 --> 00:27:03,959 Speaker 7: in places like Pennsylvania, because you have to have abundant energy. 436 00:27:04,240 --> 00:27:07,400 Speaker 7: You have to have natural gas, nuclear power, fossil fuels, 437 00:27:07,440 --> 00:27:11,800 Speaker 7: all forms of energy. You have to have incredible energy resources. 438 00:27:11,800 --> 00:27:14,840 Speaker 7: You have to have incredible skilled workers to be able 439 00:27:14,920 --> 00:27:17,080 Speaker 7: to build that infrastructure and you have to have the 440 00:27:17,119 --> 00:27:22,439 Speaker 7: most exceptional technology leadership, like we have a Carnegie Mellon 441 00:27:22,920 --> 00:27:25,119 Speaker 7: And I guess the last point I'd make, guys, is 442 00:27:25,160 --> 00:27:27,760 Speaker 7: this is not a you know, we got to win 443 00:27:27,800 --> 00:27:31,720 Speaker 7: this over the next decade kind of thing. This battle 444 00:27:32,040 --> 00:27:34,919 Speaker 7: is playing out over the next six months, twelve months, 445 00:27:34,960 --> 00:27:37,480 Speaker 7: twenty four to thirty six. This is something that if 446 00:27:37,480 --> 00:27:40,399 Speaker 7: we don't continue to have leadership, we're going to look 447 00:27:40,440 --> 00:27:41,600 Speaker 7: back and say we missed. 448 00:27:41,320 --> 00:27:45,399 Speaker 4: The moment, Senator, appreciate you being with us. I've mentioned 449 00:27:45,480 --> 00:27:48,560 Speaker 4: before that one of my forays in AI was just 450 00:27:48,640 --> 00:27:52,720 Speaker 4: taking a standard blood test that i'd gotten back with 451 00:27:52,840 --> 00:27:55,280 Speaker 4: all the different numbers and the rest of it, and 452 00:27:55,760 --> 00:27:58,200 Speaker 4: loading it in and saying, tell me everything I need 453 00:27:58,240 --> 00:27:59,719 Speaker 4: to know about all my different markers. 454 00:27:59,720 --> 00:28:01,320 Speaker 2: And it was fascinating. 455 00:28:01,600 --> 00:28:04,320 Speaker 4: Not only did it give me incredibly detailed analysis, more 456 00:28:04,359 --> 00:28:06,040 Speaker 4: so than even what I had gotten from a pretty 457 00:28:06,400 --> 00:28:08,159 Speaker 4: long sit down with my doctor about it, but I 458 00:28:08,160 --> 00:28:11,960 Speaker 4: could do follow up questions, get incredible deep dive information 459 00:28:12,160 --> 00:28:14,960 Speaker 4: in real time about anything. So to me, that's just 460 00:28:15,359 --> 00:28:18,600 Speaker 4: one little test case of how AI. This was all 461 00:28:18,640 --> 00:28:21,520 Speaker 4: through an AI system. How AI is going to change 462 00:28:21,520 --> 00:28:25,439 Speaker 4: things for people out there right now, Whether you're you know, 463 00:28:25,440 --> 00:28:27,840 Speaker 4: you're working for a mid sized company, whether you own 464 00:28:27,880 --> 00:28:30,200 Speaker 4: a car dealership, whether you work at a hardware store, 465 00:28:30,400 --> 00:28:33,080 Speaker 4: you're a truck driver. Like, what are the ways that 466 00:28:33,680 --> 00:28:36,520 Speaker 4: at a summing like this you can see the world 467 00:28:36,640 --> 00:28:39,280 Speaker 4: is going to change and the ways that it will 468 00:28:39,320 --> 00:28:42,120 Speaker 4: affect people in their day to day Let's start with 469 00:28:42,120 --> 00:28:44,520 Speaker 4: any of the positives before we worry about Skynet, you know, 470 00:28:44,600 --> 00:28:46,239 Speaker 4: leading us in a nuclear war. Like, what are the 471 00:28:46,240 --> 00:28:50,280 Speaker 4: things that you see really getting better, more efficient, more helpful, 472 00:28:50,320 --> 00:28:52,760 Speaker 4: and more wealth creation going for people. 473 00:28:53,800 --> 00:28:56,719 Speaker 7: Well, you know, the funny thing about this is that 474 00:28:57,680 --> 00:29:04,120 Speaker 7: it's the marriage of this incredible new sinking about algorithms 475 00:29:04,160 --> 00:29:10,480 Speaker 7: and data and really taking this unique ability to collate 476 00:29:10,520 --> 00:29:14,280 Speaker 7: all this intelligence in artificial intelligence. But it's the marriage 477 00:29:14,280 --> 00:29:19,560 Speaker 7: of that with infrastructure, data centers, and new energy capabilities. 478 00:29:19,640 --> 00:29:21,520 Speaker 7: So at the SUMMT, I guess the one thing that 479 00:29:21,560 --> 00:29:25,280 Speaker 7: would probably surprise people the most is the fact that 480 00:29:25,360 --> 00:29:29,200 Speaker 7: this boom is going to have huge implications for blot 481 00:29:29,240 --> 00:29:33,000 Speaker 7: collar jobs. So Mike Row was there and he was saying, 482 00:29:33,000 --> 00:29:36,760 Speaker 7: this is unbelievable because what's happening is that there's going 483 00:29:36,800 --> 00:29:39,080 Speaker 7: to be this huge demand for welders and steam fitters 484 00:29:39,080 --> 00:29:43,040 Speaker 7: and pipe fitters and electricians to build out this enormous 485 00:29:43,200 --> 00:29:49,200 Speaker 7: infrastructure because AI requires enormous energy, and so energy demand 486 00:29:49,360 --> 00:29:52,040 Speaker 7: is going to triple over the next fifteen years, and 487 00:29:52,080 --> 00:29:57,440 Speaker 7: that's going to create this enormous opportunity for skilled workers. 488 00:29:57,520 --> 00:30:01,680 Speaker 7: So I think that's one of the maybe surprising dimensions 489 00:30:01,720 --> 00:30:04,040 Speaker 7: of it. At the same time, it's also going to 490 00:30:04,120 --> 00:30:06,880 Speaker 7: put enormous pressure on certain types of white collar jobs. 491 00:30:07,680 --> 00:30:10,520 Speaker 7: You know, I just did a couple of AI searches 492 00:30:10,560 --> 00:30:14,800 Speaker 7: this morning on my positions, just to see what they 493 00:30:14,800 --> 00:30:18,640 Speaker 7: would say. I said, what's Dave McCormick's position on Ukraine? 494 00:30:18,840 --> 00:30:23,560 Speaker 7: And it laid out in excruciating detail my positions on 495 00:30:24,640 --> 00:30:27,920 Speaker 7: Ukraine and what we should be doing there, and. 496 00:30:27,040 --> 00:30:29,400 Speaker 2: By the way, accurately in your mind when you. 497 00:30:30,440 --> 00:30:34,320 Speaker 7: This was very extremely accurate. It drew on all sorts 498 00:30:34,360 --> 00:30:36,600 Speaker 7: of different it. You could have written the article. My 499 00:30:36,880 --> 00:30:39,600 Speaker 7: point is you could have basically said, if you're a reporter, 500 00:30:39,680 --> 00:30:41,560 Speaker 7: you could have asked that question and that would have 501 00:30:41,600 --> 00:30:45,400 Speaker 7: been ninety percent of the article. And so it's going 502 00:30:45,480 --> 00:30:49,400 Speaker 7: to put pressure on all sorts of white collar opportunities 503 00:30:49,440 --> 00:30:53,240 Speaker 7: which are in the software industry. I was with Satinadella 504 00:30:53,280 --> 00:30:55,680 Speaker 7: not long ago, the SEO of Microsoft, and I asked 505 00:30:55,720 --> 00:30:59,280 Speaker 7: him the impact. He said, you know, teeth eighty percent 506 00:30:59,280 --> 00:31:02,959 Speaker 7: of the development at work that our software developers used 507 00:31:03,000 --> 00:31:05,200 Speaker 7: to do can now be done by AI, which is 508 00:31:05,240 --> 00:31:08,040 Speaker 7: really good in his mind because that allows our developers 509 00:31:08,040 --> 00:31:11,760 Speaker 7: to focus on the twenty percent or the ten percent 510 00:31:11,800 --> 00:31:13,880 Speaker 7: that's the highest value. But this is going to put 511 00:31:14,000 --> 00:31:18,240 Speaker 7: enormous pressure on certain types of jobs. And listen, this 512 00:31:18,320 --> 00:31:21,520 Speaker 7: is a new reality. So my view is that America 513 00:31:21,760 --> 00:31:25,200 Speaker 7: and Pennsylvania needs to embrace this change and be at 514 00:31:25,200 --> 00:31:30,320 Speaker 7: the forefront, be leaders in it, because unfortunately it's inevitable 515 00:31:30,360 --> 00:31:32,920 Speaker 7: and the stakes of not being the leader are so high. 516 00:31:33,640 --> 00:31:35,720 Speaker 1: I think what you just said is so interesting there 517 00:31:35,800 --> 00:31:39,760 Speaker 1: about the search that you did on your policy on Ukraine. 518 00:31:40,240 --> 00:31:43,640 Speaker 1: I have been hammering this for a lot of writers 519 00:31:43,720 --> 00:31:46,040 Speaker 1: out there, and I'm sure you've seen this a lot day. 520 00:31:46,160 --> 00:31:51,080 Speaker 1: From the background of a business guy, so much of 521 00:31:51,160 --> 00:31:55,600 Speaker 1: life is figuring out what added value can you provide? 522 00:31:55,840 --> 00:31:56,040 Speaker 2: Right? 523 00:31:56,120 --> 00:31:59,320 Speaker 1: I mean, in whatever job you do, what can you 524 00:31:59,400 --> 00:32:01,880 Speaker 1: do that's better better than the average guy or gal 525 00:32:02,000 --> 00:32:04,520 Speaker 1: that might be doing your job. One thing that I 526 00:32:04,520 --> 00:32:08,720 Speaker 1: think this is going to require of everybody is mediocrity 527 00:32:09,080 --> 00:32:12,520 Speaker 1: is going to be replaced quickly by AI. So whether 528 00:32:12,560 --> 00:32:16,960 Speaker 1: you're selling cars or whether you're writing articles or whatever 529 00:32:17,040 --> 00:32:20,320 Speaker 1: you are doing in the larger universe, I would suggest 530 00:32:20,560 --> 00:32:23,520 Speaker 1: familiarize yourself with AI because it can take you to 531 00:32:23,560 --> 00:32:26,480 Speaker 1: a different level of excellence. But if you're not pursuing 532 00:32:26,520 --> 00:32:30,280 Speaker 1: excellence in what you do, you're going to be very replaceable. 533 00:32:30,360 --> 00:32:33,440 Speaker 1: Would that be a good contextualization you think business wise? 534 00:32:34,080 --> 00:32:36,680 Speaker 6: I really I agree with you one hundred percent, and 535 00:32:36,760 --> 00:32:39,760 Speaker 6: I also think you know, listen, this change changes. 536 00:32:40,080 --> 00:32:42,520 Speaker 7: It's hard. I mean, there's a lot of anxiety out 537 00:32:42,560 --> 00:32:45,680 Speaker 7: there and I understand that. And there are genuine and 538 00:32:45,800 --> 00:32:49,440 Speaker 7: legitimate concerns about the national security implications of AI, the 539 00:32:49,520 --> 00:32:53,120 Speaker 7: privacy implication. So there there is UH. As Buck said, 540 00:32:53,120 --> 00:32:56,800 Speaker 7: there's a there's there's there's pros, and there's cons However, 541 00:32:56,960 --> 00:33:01,080 Speaker 7: it is coming. This is an enormous transformation, and I 542 00:33:01,120 --> 00:33:05,600 Speaker 7: think we need to lean into it and recognize that 543 00:33:05,720 --> 00:33:10,080 Speaker 7: leadership UH and controlling our destiny is we can't put 544 00:33:10,120 --> 00:33:11,760 Speaker 7: our heads in the sand and think this isn't happening. 545 00:33:11,800 --> 00:33:15,880 Speaker 7: Controlling our destiny as a nation, as a commonwealth in Pennsylvania, 546 00:33:16,240 --> 00:33:18,840 Speaker 7: and as individuals is the only way through it. And 547 00:33:18,920 --> 00:33:22,560 Speaker 7: I agree with you it's in many ways, AI is 548 00:33:22,600 --> 00:33:26,400 Speaker 7: going to ensure and enforce even more of a meritocracy 549 00:33:26,840 --> 00:33:30,200 Speaker 7: in the sense that those who can contribute unique value 550 00:33:30,600 --> 00:33:32,200 Speaker 7: I think are going to be the beneficiaries of it. 551 00:33:32,240 --> 00:33:34,440 Speaker 7: And as I said, it's not what it's iron the 552 00:33:34,480 --> 00:33:38,080 Speaker 7: irony is. I think those with you know, unique skills, 553 00:33:38,600 --> 00:33:40,880 Speaker 7: uh in the in the in the building trades, in 554 00:33:40,920 --> 00:33:43,520 Speaker 7: the blue collar world may have a really unique moment. 555 00:33:45,200 --> 00:33:48,320 Speaker 4: You know, Senator, I saw that the that that Google 556 00:33:48,720 --> 00:33:51,600 Speaker 4: is working through what is a brook Field too and 557 00:33:51,640 --> 00:33:54,200 Speaker 4: this came up at the AI saw it to get 558 00:33:54,240 --> 00:33:59,080 Speaker 4: access to hydro electric power plants. Right, So the the 559 00:33:59,200 --> 00:34:02,600 Speaker 4: energy need of this AI revolution are going to be 560 00:34:04,400 --> 00:34:08,160 Speaker 4: a challenge all all on its own and all on 561 00:34:08,200 --> 00:34:10,440 Speaker 4: their own, And so I'm just wondering, do we have 562 00:34:10,480 --> 00:34:14,000 Speaker 4: some sense as to one, how much of an expansion 563 00:34:14,280 --> 00:34:15,959 Speaker 4: of the of the grid we're going to need. 564 00:34:16,400 --> 00:34:17,319 Speaker 2: And then how is the. 565 00:34:17,239 --> 00:34:22,960 Speaker 4: Trump administration trying to align with the not just the 566 00:34:22,960 --> 00:34:26,840 Speaker 4: the idea of drill, baby drill, but everything we're talking nuclear, 567 00:34:27,520 --> 00:34:29,719 Speaker 4: all all of the above to try to meet what's 568 00:34:29,760 --> 00:34:33,279 Speaker 4: going to be power needs a surge beyond anything we've 569 00:34:33,320 --> 00:34:33,880 Speaker 4: seen before. 570 00:34:34,680 --> 00:34:37,000 Speaker 7: I mean, I'm ting guys, this this thing was awesome. 571 00:34:37,160 --> 00:34:40,080 Speaker 7: I mean I was so proud, proud to be part 572 00:34:40,120 --> 00:34:42,400 Speaker 7: of it. And it was you know, we had we 573 00:34:42,440 --> 00:34:46,080 Speaker 7: had sixty major CEOs, twenty companies that made announcements, and 574 00:34:46,719 --> 00:34:49,759 Speaker 7: you know, this was something I'd asked the President if 575 00:34:49,760 --> 00:34:51,480 Speaker 7: he'd be willing to do, right right after I won 576 00:34:51,520 --> 00:34:53,640 Speaker 7: the election, I said, would you come to Pennsylvania. You know, 577 00:34:53,680 --> 00:34:57,840 Speaker 7: he had campaigned in twenty seventeen he made the famous 578 00:34:57,920 --> 00:35:00,120 Speaker 7: line that I'm more worried about serving the people of 579 00:35:00,160 --> 00:35:04,600 Speaker 7: Pittsburgh than the people of Paris. As related to the Paris, 580 00:35:04,600 --> 00:35:08,520 Speaker 7: of course, so he comes, We invite these CEOs. We 581 00:35:08,640 --> 00:35:11,840 Speaker 7: have a big chunk of the cabinet there Sartrey Besson, 582 00:35:11,920 --> 00:35:15,920 Speaker 7: secretary at Lutnik, sar Ty Bergham sectary, right, Lee Zelden, 583 00:35:16,040 --> 00:35:20,960 Speaker 7: David Sachs. Just this unbelievable collection, and the CEO is there. 584 00:35:20,960 --> 00:35:25,360 Speaker 7: Announced ninety two billion dollars of investment. This is in 585 00:35:25,440 --> 00:35:27,239 Speaker 7: Some of these things have been working on for years. 586 00:35:27,239 --> 00:35:29,120 Speaker 7: Some of these things are are brand new, out of 587 00:35:29,160 --> 00:35:32,640 Speaker 7: the blue. Twenty five billion dollar investment by Blackstone in 588 00:35:32,800 --> 00:35:39,160 Speaker 7: two major data center campuses in northeastern Pennsylvania. And if 589 00:35:39,160 --> 00:35:41,440 Speaker 7: you look at the investments, they split up, which is 590 00:35:41,480 --> 00:35:44,440 Speaker 7: instructive to your question about thirty six billion dollars of 591 00:35:44,560 --> 00:35:49,080 Speaker 7: data centers, there was another thirty five billion dollars of 592 00:35:49,400 --> 00:35:55,160 Speaker 7: energy infrastructure. This is transmission to meet the needs distribution operations. 593 00:35:55,200 --> 00:35:58,360 Speaker 7: First Energy made a huge fifteen billion dollar announcement of 594 00:35:58,400 --> 00:36:01,480 Speaker 7: investing in energy infrastructure because you've got to have the 595 00:36:01,560 --> 00:36:04,239 Speaker 7: data centers, you've got to have the infrastructure, and you've 596 00:36:04,239 --> 00:36:07,480 Speaker 7: got to have the energy project. So there was a 597 00:36:07,600 --> 00:36:13,640 Speaker 7: huge announcements around conversions of coal to natural gas plants. 598 00:36:14,000 --> 00:36:18,719 Speaker 7: A Westinghouse directly related to the President's Executive Order on 599 00:36:18,880 --> 00:36:23,839 Speaker 7: Nuclear Power, announced commitment to building two or ten new 600 00:36:23,920 --> 00:36:29,360 Speaker 7: nuclear reactors six billion dollars. So to your question, to 601 00:36:29,440 --> 00:36:32,000 Speaker 7: make this work, you need investment in data, you need 602 00:36:32,080 --> 00:36:37,120 Speaker 7: investment in infrastructure, you need investment in production. And Pennsylvania 603 00:36:37,160 --> 00:36:39,200 Speaker 7: is kind of unique because we've got we're the second 604 00:36:39,280 --> 00:36:43,040 Speaker 7: largest energy producer in the country, fourth largest natural gas 605 00:36:43,080 --> 00:36:47,000 Speaker 7: reserves in the world, huge nuclear installed base. You know, 606 00:36:47,080 --> 00:36:51,280 Speaker 7: microsoftist did a big deal with Constellation on Three Mile Island. 607 00:36:51,640 --> 00:36:54,279 Speaker 7: Who would have thought, so, you know, there's no way 608 00:36:54,280 --> 00:36:56,880 Speaker 7: to meet this energy demand, which is going to triple 609 00:36:57,160 --> 00:36:59,360 Speaker 7: in the next fifteen years without embracing all forms of 610 00:36:59,440 --> 00:37:02,200 Speaker 7: energy that I mean, subsidizing them what they've got to 611 00:37:02,239 --> 00:37:05,839 Speaker 7: be economic, all forms of energy, and then having the 612 00:37:05,840 --> 00:37:08,920 Speaker 7: infrastructure to make sure that we keep prices low for 613 00:37:09,120 --> 00:37:12,480 Speaker 7: consumers and that we meet this big surge and create 614 00:37:12,520 --> 00:37:14,920 Speaker 7: these great jobs for Pennsylvania's. 615 00:37:15,280 --> 00:37:17,080 Speaker 1: Last question for you, and you can tell me if 616 00:37:17,080 --> 00:37:20,560 Speaker 1: you think I'm crazy. I know you were at Butler Pennsylvania. 617 00:37:20,600 --> 00:37:23,640 Speaker 1: We've talked with you. As the one year anniversary comes near. 618 00:37:23,760 --> 00:37:25,960 Speaker 1: We've talked with you about what that experience was like. 619 00:37:26,000 --> 00:37:29,799 Speaker 1: You've heard gunfire before, you immediately recognized it. I said 620 00:37:29,840 --> 00:37:31,799 Speaker 1: on the show this week, as we talked about the 621 00:37:31,840 --> 00:37:35,400 Speaker 1: one year anniversary and the implications and significance that I 622 00:37:35,480 --> 00:37:39,560 Speaker 1: thought Butler pa that location should become a national monument 623 00:37:39,640 --> 00:37:44,160 Speaker 1: of sorts, used as a not only historical location, but 624 00:37:44,239 --> 00:37:48,360 Speaker 1: also as a testament to combating political violence. 625 00:37:49,000 --> 00:37:51,720 Speaker 2: Is this a crazy idea or do you think the idea? 626 00:37:52,239 --> 00:37:54,560 Speaker 7: I love it. I love it, Clay. 627 00:37:54,280 --> 00:37:56,919 Speaker 4: And I loved it too, Senator. So Clay is getting 628 00:37:56,960 --> 00:37:58,759 Speaker 4: a lot of traction here, a lot of the audience right. 629 00:37:59,000 --> 00:38:02,080 Speaker 1: Well, can I help you and you've got a lot 630 00:38:02,160 --> 00:38:04,719 Speaker 1: more influence on this, but this is your state. I 631 00:38:04,760 --> 00:38:06,840 Speaker 1: don't want that place. And look, I live on the 632 00:38:06,840 --> 00:38:10,200 Speaker 1: battlefield of Franklin, Tennessee. You know, I'm a history nerd. 633 00:38:10,680 --> 00:38:14,640 Speaker 1: Sometimes history gets paved over and we forget decades one 634 00:38:14,680 --> 00:38:16,719 Speaker 1: hundred years later, You're like, man, I wish I could 635 00:38:16,719 --> 00:38:19,719 Speaker 1: really see this battlefield, or I wish I could experience 636 00:38:19,760 --> 00:38:23,040 Speaker 1: the significance of this place as it might have looked 637 00:38:23,120 --> 00:38:27,280 Speaker 1: then and understand why it's culturally resonant to me. Butler 638 00:38:27,400 --> 00:38:30,319 Speaker 1: can be that not only today, but I think as 639 00:38:30,360 --> 00:38:33,880 Speaker 1: the passions of the day fade, for kids and grandkids 640 00:38:33,920 --> 00:38:36,239 Speaker 1: out there who want to study the Trump era and 641 00:38:36,360 --> 00:38:39,279 Speaker 1: understand how close we came to disaster there. I like 642 00:38:39,360 --> 00:38:43,400 Speaker 1: the idea of creating a monument that's opposed to political violence. Thankfully, 643 00:38:43,440 --> 00:38:45,680 Speaker 1: it wasn't a side of political violence. We don't have 644 00:38:45,719 --> 00:38:49,799 Speaker 1: to be an RFK, MLK or JFK like site, but 645 00:38:50,160 --> 00:38:53,600 Speaker 1: so it's not deally plaza, thankfully, but why not create 646 00:38:53,680 --> 00:38:55,239 Speaker 1: something that is significant there? 647 00:38:55,440 --> 00:38:57,520 Speaker 7: And long time, I think it's a great idea. I 648 00:38:57,560 --> 00:38:59,440 Speaker 7: hadn't thought of it, but it's a great idea. And 649 00:38:59,480 --> 00:39:03,719 Speaker 7: I do say memorializing what happened there. And frankly, you 650 00:39:03,800 --> 00:39:05,600 Speaker 7: know you've been a strong voice in this. This is 651 00:39:05,880 --> 00:39:08,640 Speaker 7: across political parties. You know, not long ago we had 652 00:39:08,680 --> 00:39:11,640 Speaker 7: an arson attack on our governor here in Pennsylvania. Wo's 653 00:39:11,640 --> 00:39:14,800 Speaker 7: a Democrat, so correct, we need to speak out clearly 654 00:39:14,880 --> 00:39:19,319 Speaker 7: and decisively against political violence. And I think memorializing I 655 00:39:19,400 --> 00:39:21,040 Speaker 7: say that to people you know, as you know, I 656 00:39:21,120 --> 00:39:23,439 Speaker 7: was right there on the stage. Yes, it's like being 657 00:39:23,480 --> 00:39:28,360 Speaker 7: next to the limousine when Kennedy was shot the convertible 658 00:39:28,360 --> 00:39:31,560 Speaker 7: in in in Dallas, like this is this is an 659 00:39:31,719 --> 00:39:36,200 Speaker 7: iconic moment of American history. And thank god, yes that 660 00:39:36,800 --> 00:39:40,759 Speaker 7: we missed. The sniper missed the president. The assassin missed 661 00:39:40,760 --> 00:39:43,160 Speaker 7: present the president by an inch. And I love the 662 00:39:43,160 --> 00:39:45,400 Speaker 7: idea of memorializing that. So that's something maybe we can 663 00:39:45,400 --> 00:39:47,400 Speaker 7: talk about offline. But I like that idea, Clay, and 664 00:39:47,719 --> 00:39:50,319 Speaker 7: you know you're listen. You're a You're a font of 665 00:39:50,400 --> 00:39:51,000 Speaker 7: good ideas. 666 00:39:51,000 --> 00:39:52,200 Speaker 6: Is he always like to fuck? 667 00:39:53,719 --> 00:39:57,640 Speaker 4: He certainly has the confidence for it, I will say. 668 00:39:57,040 --> 00:39:57,359 Speaker 6: I will. 669 00:39:57,719 --> 00:40:00,600 Speaker 1: I'm not saying everything is brilliant, but I do have 670 00:40:01,239 --> 00:40:03,440 Speaker 1: to me this is one that does make sense. Poor 671 00:40:03,480 --> 00:40:05,600 Speaker 1: Buck has to listen to ideas like this all day. 672 00:40:05,640 --> 00:40:08,040 Speaker 1: But Senator, you can help make this happen. I'd just 673 00:40:08,120 --> 00:40:10,200 Speaker 1: like to see the site preserved. And I do think 674 00:40:10,239 --> 00:40:14,040 Speaker 1: it's a it's a worthy idea for generations to come. 675 00:40:14,719 --> 00:40:15,520 Speaker 7: It's a great idea. 676 00:40:15,560 --> 00:40:16,279 Speaker 6: Let me run with it. 677 00:40:16,320 --> 00:40:16,919 Speaker 7: Thank you, Clay. 678 00:40:18,560 --> 00:40:22,960 Speaker 3: You're listening to Team forty seven with Clay and Buck Trump. 679 00:40:23,000 --> 00:40:24,760 Speaker 6: I just want to have some fun with this one because. 680 00:40:24,600 --> 00:40:28,319 Speaker 4: We spoke about AOC before and I said, I think 681 00:40:28,360 --> 00:40:32,360 Speaker 4: she's too dumb to be the Democrat leader in general 682 00:40:32,480 --> 00:40:35,279 Speaker 4: of the country. But you know, I'm also I go 683 00:40:35,360 --> 00:40:37,239 Speaker 4: back and forth on that because she does have some 684 00:40:37,280 --> 00:40:41,440 Speaker 4: things going for her. And here is Trump. He just 685 00:40:41,480 --> 00:40:44,080 Speaker 4: waded in today on AOC. Did you see this? This 686 00:40:44,160 --> 00:40:47,040 Speaker 4: is cut thirty six. The Commander in Chief has some 687 00:40:47,160 --> 00:40:49,680 Speaker 4: thoughts and he agrees with Buck, which is not a 688 00:40:49,680 --> 00:40:51,440 Speaker 4: surprise player, you know AOC. 689 00:40:51,640 --> 00:40:55,439 Speaker 8: Look. I think she's very nice, but she's very low IQ, 690 00:40:55,920 --> 00:40:59,280 Speaker 8: and we really don't need low IQ between. 691 00:40:58,880 --> 00:40:59,760 Speaker 3: Her and Crockett. 692 00:41:00,040 --> 00:41:02,520 Speaker 8: We're gonna give them both an IQ test to see 693 00:41:02,560 --> 00:41:05,279 Speaker 8: who comes out best. Now, I took my test. I 694 00:41:05,360 --> 00:41:08,960 Speaker 8: took a real test at Walter Reed Medical Center, and 695 00:41:09,080 --> 00:41:11,520 Speaker 8: I haste it. I got every one of all those 696 00:41:11,600 --> 00:41:14,959 Speaker 8: questions right now, it's time for them to take a test. 697 00:41:16,320 --> 00:41:19,840 Speaker 1: Oh my goodness, would you say she's very nice, but 698 00:41:19,880 --> 00:41:24,320 Speaker 1: she's also very dub That is very vintage Trump. And 699 00:41:24,360 --> 00:41:28,120 Speaker 1: I would just point out that right now, the top 700 00:41:28,160 --> 00:41:31,640 Speaker 1: Democrat according to polling from the state of Texas in 701 00:41:31,680 --> 00:41:35,880 Speaker 1: the Senate race next year is Jasmine Crockett. Can you 702 00:41:35,920 --> 00:41:40,040 Speaker 1: imagine run, Jasmine run. I think the people of Texas 703 00:41:40,080 --> 00:41:43,200 Speaker 1: need to hear all of your arguments more fully articulated 704 00:41:43,200 --> 00:41:47,360 Speaker 1: and developed, and I think you would be a sterling 705 00:41:47,440 --> 00:41:50,120 Speaker 1: representative of the Democrat Party in the lone Star state. 706 00:41:50,719 --> 00:41:53,000 Speaker 1: But that is the potential. I mean a lot of people, 707 00:41:53,360 --> 00:41:55,360 Speaker 1: I think are stunned to find out that jasminc. Crockett 708 00:41:55,400 --> 00:41:58,880 Speaker 1: is from Texas because you think of Texans as not 709 00:41:59,000 --> 00:42:02,040 Speaker 1: Jasmin Crockett, AOC New York. I think a lot of 710 00:42:02,040 --> 00:42:05,440 Speaker 1: people are like, yeah, that's New York. And obviously there 711 00:42:05,480 --> 00:42:05,879 Speaker 1: is no. 712 00:42:05,960 --> 00:42:10,000 Speaker 4: There's no spokesperson or brand affiliation with Crockett Coffee, just 713 00:42:10,000 --> 00:42:12,640 Speaker 4: to be clear, totally separate venture, we have nothing to 714 00:42:12,680 --> 00:42:15,600 Speaker 4: do with. Because you know, Trump's referring to Crockett there. 715 00:42:15,719 --> 00:42:17,160 Speaker 4: I would love it if he was talking about the 716 00:42:17,160 --> 00:42:22,040 Speaker 4: Great American coffee company of Crockett Coffee, but different, different situation, 717 00:42:22,320 --> 00:42:25,400 Speaker 4: and there's no no. 718 00:42:24,280 --> 00:42:27,600 Speaker 1: No relation that we're aware of between Jasmine Crockett and 719 00:42:27,680 --> 00:42:31,040 Speaker 1: Davy Crockett, and certainly no relationship with the Crockett Coffee Company. 720 00:42:31,120 --> 00:42:34,359 Speaker 1: She is definitely in the state of Texas, detracting from 721 00:42:34,400 --> 00:42:38,000 Speaker 1: the overall brand appeal of the Davy Crockett brand by 722 00:42:38,120 --> 00:42:39,920 Speaker 1: being the most prominent Crockett in the state.