1 00:00:00,120 --> 00:00:04,040 Speaker 1: The Team forty seven podcast is sponsored by Good Ranchers 2 00:00:04,120 --> 00:00:06,320 Speaker 1: Making the American Farm Strong Again. 3 00:00:08,000 --> 00:00:12,160 Speaker 2: Team forty seven with Clay and Buck starts. 4 00:00:11,840 --> 00:00:16,160 Speaker 1: Now wanted to give credit to Bill Maher who, being 5 00:00:16,239 --> 00:00:20,520 Speaker 1: willing to go actually meet with President and Trump in person. 6 00:00:20,560 --> 00:00:24,520 Speaker 1: He had a dinner with Kid Rock at the in 7 00:00:24,560 --> 00:00:27,040 Speaker 1: the White House after I believe they went into the 8 00:00:27,040 --> 00:00:29,720 Speaker 1: Oval Office as well, and I want to play some 9 00:00:29,800 --> 00:00:32,360 Speaker 1: of the cuts. This is from Bill Maher's HBO show, 10 00:00:33,000 --> 00:00:36,800 Speaker 1: and I think what Bill Maher is saying here is 11 00:00:36,840 --> 00:00:41,239 Speaker 1: what many of you have found in your experience is 12 00:00:41,280 --> 00:00:45,320 Speaker 1: either listening to Trump on this program or other programs 13 00:00:45,400 --> 00:00:48,279 Speaker 1: over the last decade. I believe the number is that 14 00:00:48,400 --> 00:00:51,840 Speaker 1: I have been involved in interviewing Trump, either by myself 15 00:00:52,000 --> 00:00:56,600 Speaker 1: or with Buck Now eleven times, and so I feel 16 00:00:56,640 --> 00:00:59,360 Speaker 1: like I know Trump fairly well at this point. We've 17 00:00:59,360 --> 00:01:03,160 Speaker 1: talked to him hours on this program during the course 18 00:01:03,160 --> 00:01:06,399 Speaker 1: of the last four years. And what Bill Maher is 19 00:01:06,440 --> 00:01:08,920 Speaker 1: saying is what I have found to be true of 20 00:01:09,000 --> 00:01:15,280 Speaker 1: Trump in private. He's an incredibly likable, charismatic guy who 21 00:01:15,319 --> 00:01:19,039 Speaker 1: frankly feels kind of like a grandpa when I have 22 00:01:19,160 --> 00:01:22,600 Speaker 1: been around him. And let's listen to a couple of 23 00:01:22,680 --> 00:01:25,280 Speaker 1: these cuts. He also has, and I think this is important, 24 00:01:25,640 --> 00:01:28,959 Speaker 1: a pretty good sense of humor. He's actually very, very funny, 25 00:01:29,760 --> 00:01:33,560 Speaker 1: and most of his critics don't get it. Here's Bill 26 00:01:33,560 --> 00:01:36,920 Speaker 1: Maher saying he showed up with a list of insults 27 00:01:37,440 --> 00:01:41,960 Speaker 1: that Trump had called him, and Trump autographed it for him, 28 00:01:42,040 --> 00:01:45,600 Speaker 1: which is incredible. Listened to cut fifteen. 29 00:01:45,360 --> 00:01:47,880 Speaker 3: Before I left for the Capitol. I had my staff 30 00:01:48,040 --> 00:01:52,800 Speaker 3: collect and print out this list of almost sixteen different 31 00:01:52,920 --> 00:01:57,040 Speaker 3: insulting epithets that the President has said about me, things 32 00:01:57,160 --> 00:02:01,320 Speaker 3: like stupid, dummy, low life, dummy, sleeves bag six said, 33 00:02:01,440 --> 00:02:05,480 Speaker 3: stone cold crazy, really a dumb. 34 00:02:05,240 --> 00:02:07,600 Speaker 4: Guy, fired like a dog. His show is dead. 35 00:02:10,720 --> 00:02:10,880 Speaker 2: Six. 36 00:02:11,280 --> 00:02:13,359 Speaker 3: I brought this to the White House because I wanted 37 00:02:13,440 --> 00:02:14,360 Speaker 3: him to sign it. 38 00:02:15,480 --> 00:02:22,280 Speaker 4: Which he did, which he did with good humor. 39 00:02:23,240 --> 00:02:25,880 Speaker 1: All Right, I mean, this is how it should be. 40 00:02:26,840 --> 00:02:30,400 Speaker 1: I talked about the Taylor Lorenz. Oh he's a morally 41 00:02:30,480 --> 00:02:34,080 Speaker 1: good man. That's not how it should be. How it 42 00:02:34,120 --> 00:02:38,000 Speaker 1: should be is people can disagree, sometimes they might even 43 00:02:38,080 --> 00:02:41,840 Speaker 1: say mean things, but when they meet face to face 44 00:02:42,400 --> 00:02:46,000 Speaker 1: they behave like adults. And most of the time I 45 00:02:46,160 --> 00:02:49,360 Speaker 1: have found when you meet someone face to face, you 46 00:02:49,400 --> 00:02:53,040 Speaker 1: are more likely to like them, particularly when it's someone 47 00:02:53,160 --> 00:02:56,200 Speaker 1: like Donald Trump that is actually very likable. We've said 48 00:02:56,240 --> 00:02:58,080 Speaker 1: on this program for a long time. Look, you can 49 00:02:58,120 --> 00:03:02,160 Speaker 1: disagree with his policies. I am one hundred percent of 50 00:03:02,200 --> 00:03:04,360 Speaker 1: the opinion that you can look at Trump's policies and 51 00:03:04,400 --> 00:03:07,600 Speaker 1: you can say I hate the terrify ideas. You can say, hey, 52 00:03:07,639 --> 00:03:09,720 Speaker 1: I think we should have free and wide open borders. 53 00:03:10,080 --> 00:03:13,680 Speaker 1: You can say police are too empowered, or he's taking 54 00:03:13,720 --> 00:03:17,239 Speaker 1: too much executive authority. I don't agree with those arguments, 55 00:03:17,360 --> 00:03:19,200 Speaker 1: but I think you can make those arguments and be 56 00:03:19,280 --> 00:03:22,840 Speaker 1: a rational, normal human being. What you can't say is 57 00:03:23,000 --> 00:03:29,040 Speaker 1: he's Hitler. He's not in any way remotely similar to 58 00:03:29,080 --> 00:03:34,800 Speaker 1: Adolf Hitler. Disagree with his policies, attacking him personally is absurd. 59 00:03:34,880 --> 00:03:36,520 Speaker 1: And what I have said for some time is, and 60 00:03:36,560 --> 00:03:40,080 Speaker 1: I bet what Bill Maher now recognizes. Trump is an 61 00:03:40,320 --> 00:03:45,600 Speaker 1: energy person. Whatever energy you give to him, he gives 62 00:03:45,640 --> 00:03:49,160 Speaker 1: back to you ten x. So if you are favorable 63 00:03:49,200 --> 00:03:52,440 Speaker 1: and kind, he's going to be ten times as favorable 64 00:03:52,560 --> 00:03:58,640 Speaker 1: and ten times as kind to you. If you are unfavorable, uncharitable, cruel, mean, 65 00:03:59,240 --> 00:04:01,880 Speaker 1: he's going to get give that back to you ten x. 66 00:04:02,480 --> 00:04:06,720 Speaker 1: Whatever you give, Trump gives back ten x. That's the 67 00:04:06,800 --> 00:04:10,080 Speaker 1: lesson that everybody should have learned by now. And actually, 68 00:04:10,120 --> 00:04:12,680 Speaker 1: face to face, he tends to be really good. I've 69 00:04:12,680 --> 00:04:15,960 Speaker 1: said this before I met Trump for the first time 70 00:04:16,120 --> 00:04:21,400 Speaker 1: in person in October of twenty twenty. I took my 71 00:04:21,680 --> 00:04:26,200 Speaker 1: wife and at the time oldest son, who was I 72 00:04:26,279 --> 00:04:27,640 Speaker 1: believe in seventh grade. 73 00:04:28,839 --> 00:04:31,120 Speaker 4: Trump was unbelievable. 74 00:04:30,360 --> 00:04:34,960 Speaker 1: With him, unbelievable with my seventh grader in the Oval 75 00:04:35,000 --> 00:04:37,919 Speaker 1: Office the time he spent with him, he was just 76 00:04:38,200 --> 00:04:43,720 Speaker 1: a fabulous, grandfatherly like figure. My wife, like a lot 77 00:04:43,760 --> 00:04:47,640 Speaker 1: of women, was not a huge fan of Donald Trump 78 00:04:47,960 --> 00:04:51,880 Speaker 1: before she met him. After meeting him in the Oval Office, 79 00:04:51,880 --> 00:04:54,039 Speaker 1: since she's met him a couple of times since, she 80 00:04:54,200 --> 00:04:59,280 Speaker 1: loves him. He is really incredible face to face one 81 00:04:59,320 --> 00:05:03,040 Speaker 1: on one, not only with the people there, but with kids. 82 00:05:04,120 --> 00:05:08,719 Speaker 1: Really really good with kids. He's met all of my sons, 83 00:05:09,560 --> 00:05:11,680 Speaker 1: by the way, they were more interested in meeting mister 84 00:05:11,720 --> 00:05:14,960 Speaker 1: Beast than the President. No offense to the President, but 85 00:05:15,240 --> 00:05:18,120 Speaker 1: he's met all of my kids. Fabulous with all of them, 86 00:05:19,240 --> 00:05:22,960 Speaker 1: just like a good grandpa would be. And I bet 87 00:05:23,360 --> 00:05:25,360 Speaker 1: if you had the good fortune to get to meet 88 00:05:25,400 --> 00:05:27,120 Speaker 1: the president and you got to meet him with your 89 00:05:27,200 --> 00:05:30,560 Speaker 1: kids or with your grandkids. He would be phenomenal with them. 90 00:05:31,200 --> 00:05:33,400 Speaker 1: And this is what Bill Maher is saying. Bill maher 91 00:05:33,480 --> 00:05:36,320 Speaker 1: like kind of built this mountain of Trump as an 92 00:05:36,360 --> 00:05:39,440 Speaker 1: awful person based on public persona, and then he had 93 00:05:39,440 --> 00:05:41,800 Speaker 1: to go out and tell his audience on Friday. Actually 94 00:05:41,880 --> 00:05:45,799 Speaker 1: we had a phenomenal dinner and Trump was incredible. Here 95 00:05:46,040 --> 00:05:49,320 Speaker 1: is Bill maher on meeting Trump, cut sixteen. 96 00:05:49,480 --> 00:05:51,560 Speaker 4: He laughs just. 97 00:05:51,560 --> 00:05:56,120 Speaker 3: For starters, he laughs. I'd never seen him laugh in public, 98 00:05:56,360 --> 00:05:59,239 Speaker 3: but he does, including it himself, and it's not fake. 99 00:05:59,480 --> 00:06:01,719 Speaker 3: Believe me, as a comedian of forty years, I know 100 00:06:01,760 --> 00:06:06,880 Speaker 3: a fake laugh when I hear it. Okay, example, in 101 00:06:06,920 --> 00:06:09,120 Speaker 3: the Oval office, he was showing me the portraits of 102 00:06:09,200 --> 00:06:13,200 Speaker 3: presidents and he pointed to Reagan and said, in all seriousness, 103 00:06:13,760 --> 00:06:20,559 Speaker 3: you know the best thing about him his hair. I said, well, 104 00:06:20,680 --> 00:06:24,640 Speaker 3: there was also that whole bringing down communism thing. Waiting 105 00:06:24,680 --> 00:06:27,120 Speaker 3: for the button next to the diet coke button to 106 00:06:27,160 --> 00:06:33,159 Speaker 3: get pushed and I go through the trap door. But no, 107 00:06:33,440 --> 00:06:34,000 Speaker 3: he laughed. 108 00:06:34,040 --> 00:06:38,039 Speaker 1: He got it. He has a really good sense of humor. 109 00:06:38,080 --> 00:06:41,880 Speaker 1: He's also insanely self aware. Some of you may have 110 00:06:41,920 --> 00:06:44,279 Speaker 1: seen me on Fox and friends over the weekend. I'll 111 00:06:44,279 --> 00:06:47,080 Speaker 1: take feedback by the way, eight hundred two two eight 112 00:06:47,120 --> 00:06:49,200 Speaker 1: a two. I'll tell you what my mom said in 113 00:06:49,240 --> 00:06:53,320 Speaker 1: a moment. But I said this because we were playing 114 00:06:53,360 --> 00:06:54,560 Speaker 1: some of the cuts. 115 00:06:55,480 --> 00:06:56,280 Speaker 4: From the moment. 116 00:06:56,440 --> 00:07:02,719 Speaker 1: Jimmy Fallon allowed himself to get bullied humanizing Trump. Every 117 00:07:02,800 --> 00:07:06,960 Speaker 1: comedian by and large was terrified of the general public, 118 00:07:07,400 --> 00:07:11,400 Speaker 1: and they refuse to treat Trump like a normal human being. 119 00:07:12,360 --> 00:07:15,000 Speaker 1: It's actually incredibly unfortunate because if you go back and 120 00:07:15,040 --> 00:07:18,120 Speaker 1: watch Trump on Saturday Night Live, he has a great 121 00:07:18,160 --> 00:07:21,280 Speaker 1: sense of humor. I think Trump would have been really 122 00:07:21,280 --> 00:07:23,360 Speaker 1: good on Jimmy Kimmel. I think he would have been 123 00:07:23,360 --> 00:07:25,960 Speaker 1: really good with Fallan. I think he would have been 124 00:07:26,000 --> 00:07:29,520 Speaker 1: really good with Stephen Colbert and on Saturday Night Live, 125 00:07:30,000 --> 00:07:34,120 Speaker 1: because unlike a lot of politicians, he actually has a 126 00:07:34,160 --> 00:07:37,560 Speaker 1: good sense of humor about himself. And I have made 127 00:07:37,600 --> 00:07:41,560 Speaker 1: this argument for a long time on the dictator front. 128 00:07:42,560 --> 00:07:47,040 Speaker 1: Dictators don't have good senses of humor because humor requires 129 00:07:47,200 --> 00:07:51,320 Speaker 1: a knowledge and nuance of how you are seen in 130 00:07:51,400 --> 00:07:56,200 Speaker 1: the world that is at large. And that's why dictators 131 00:07:56,360 --> 00:08:02,840 Speaker 1: require complete obsequious business. They require that you basically bend 132 00:08:02,880 --> 00:08:05,960 Speaker 1: the need to them all the time that you genuflect 133 00:08:06,080 --> 00:08:09,440 Speaker 1: at their photo that's hanging on the wall, at their portrait, 134 00:08:10,360 --> 00:08:13,680 Speaker 1: because they have to be seen as larger than you, 135 00:08:14,120 --> 00:08:18,600 Speaker 1: more important than you, and comedy cuts everybody down to size. 136 00:08:20,000 --> 00:08:22,640 Speaker 1: This is why having kids important in many ways. I 137 00:08:22,680 --> 00:08:27,000 Speaker 1: think kids tell you exactly what they think. Kids and 138 00:08:27,040 --> 00:08:29,600 Speaker 1: old people, super old people, they are like, I don't 139 00:08:29,600 --> 00:08:33,160 Speaker 1: give a heck anymore. Super young kids they don't have 140 00:08:33,360 --> 00:08:35,920 Speaker 1: the filters built in to say what they think. 141 00:08:37,679 --> 00:08:38,280 Speaker 2: I remember. 142 00:08:38,559 --> 00:08:41,079 Speaker 1: I mean, there's tons of things that kids will say, 143 00:08:41,400 --> 00:08:44,680 Speaker 1: but I remember my three year old got me good 144 00:08:44,679 --> 00:08:48,040 Speaker 1: about seven years ago, the youngest at that time. 145 00:08:48,800 --> 00:08:49,440 Speaker 4: We were playing. 146 00:08:50,400 --> 00:08:54,640 Speaker 1: He said, Dad, he said, yeah, said, you have old hands. 147 00:08:55,840 --> 00:08:59,400 Speaker 1: I never thought about my hands in my entire life, 148 00:08:59,559 --> 00:09:02,600 Speaker 1: holding them up now for you on video. I was like, 149 00:09:02,880 --> 00:09:04,600 Speaker 1: what do you mean. He's like, they're wrinkly, they're like 150 00:09:04,679 --> 00:09:07,000 Speaker 1: old man hands. And I was like, I'd never even 151 00:09:07,040 --> 00:09:09,040 Speaker 1: thought about what my hands looked like before. I didn't 152 00:09:09,080 --> 00:09:12,080 Speaker 1: think I was George Costanza hand model. But my three 153 00:09:12,160 --> 00:09:14,600 Speaker 1: year old is like, you know, like, hey, Dad, you 154 00:09:14,640 --> 00:09:17,400 Speaker 1: know you're not a super young guy anymore. You got 155 00:09:17,440 --> 00:09:23,160 Speaker 1: old guy hands. And it's that puncturing, right, and I'll 156 00:09:23,200 --> 00:09:25,400 Speaker 1: play you a cut and a little bit of Trump 157 00:09:25,440 --> 00:09:27,720 Speaker 1: on Air Force one after he was at the UFC 158 00:09:27,880 --> 00:09:32,640 Speaker 1: three fourteen with Kai Trump, his granddaughter. The grandkids make 159 00:09:32,679 --> 00:09:37,000 Speaker 1: fun of him. That's healthy. Yeah, he's the president of 160 00:09:37,000 --> 00:09:40,559 Speaker 1: the United States, but he's also grandpa and grandma, and 161 00:09:41,520 --> 00:09:46,520 Speaker 1: he and Milanya, and so they have normal human interactions. 162 00:09:46,600 --> 00:09:49,000 Speaker 1: I don't imagine that Kim Jong un has very many 163 00:09:49,040 --> 00:09:52,920 Speaker 1: normal interactions. I frankly don't imagine that Vladimir Putin has 164 00:09:53,000 --> 00:09:55,480 Speaker 1: very many normal human interactions. Maybe I'm wrong, but this 165 00:09:55,559 --> 00:09:58,680 Speaker 1: is what Bill Maher was getting at here. Also, he 166 00:09:58,800 --> 00:10:03,320 Speaker 1: says Trump was gracious and measured, and his audience is 167 00:10:03,400 --> 00:10:06,440 Speaker 1: hearing what is the truth. But much like when I 168 00:10:06,480 --> 00:10:09,360 Speaker 1: was talking about earlier with George Clooney and the play, 169 00:10:09,960 --> 00:10:13,600 Speaker 1: they aren't able to see the larger perspective because many 170 00:10:13,640 --> 00:10:16,280 Speaker 1: of them have bought into the idea that he's Hitler. 171 00:10:16,559 --> 00:10:17,600 Speaker 1: Listen to cut fourteen. 172 00:10:17,880 --> 00:10:19,920 Speaker 3: He said, you know, I've heard from a lot of 173 00:10:19,920 --> 00:10:22,560 Speaker 3: people who really liked that we're having this dinner. 174 00:10:22,840 --> 00:10:23,880 Speaker 4: Not all, but a lot. 175 00:10:24,480 --> 00:10:27,200 Speaker 3: And I said same. A lot of people told me 176 00:10:27,240 --> 00:10:30,280 Speaker 3: they loved it, but not all, and we agreed. The 177 00:10:30,360 --> 00:10:33,520 Speaker 3: people who don't even want us to talk. We don't 178 00:10:33,600 --> 00:10:37,760 Speaker 3: like you don't talk as opposed to what writing the 179 00:10:37,800 --> 00:10:41,080 Speaker 3: same editorial for the millionth time and making twenty five 180 00:10:41,120 --> 00:10:45,440 Speaker 3: hour speeches into the wind. Okay, that's my report. You 181 00:10:45,440 --> 00:10:47,200 Speaker 3: can hate me for it, but I'm not a liar. 182 00:10:47,440 --> 00:10:50,520 Speaker 3: Trump was gracious and measured. And why he isn't that 183 00:10:50,640 --> 00:10:53,280 Speaker 3: in other settings I don't know, and I can't answer, 184 00:10:53,280 --> 00:10:55,720 Speaker 3: and it's not my place to answer. I'm just telling 185 00:10:55,720 --> 00:11:01,920 Speaker 3: you what I saw, and I wasn't high. 186 00:11:01,960 --> 00:11:04,760 Speaker 4: It's great and that audience. 187 00:11:05,640 --> 00:11:09,960 Speaker 1: Again, I encourage as many of these outreaches as Trump 188 00:11:10,000 --> 00:11:10,360 Speaker 1: can do. 189 00:11:11,120 --> 00:11:12,400 Speaker 4: I think if you meet him. 190 00:11:12,240 --> 00:11:15,840 Speaker 1: Face to face, the caricature that you have built in 191 00:11:15,960 --> 00:11:19,360 Speaker 1: your mind on the left is not represented by the 192 00:11:19,400 --> 00:11:22,720 Speaker 1: man that you will meet. I guarantee you that. And 193 00:11:22,760 --> 00:11:25,640 Speaker 1: we have a tendency in this world, and I try 194 00:11:25,679 --> 00:11:27,240 Speaker 1: to be conscious of it in the way that I 195 00:11:27,400 --> 00:11:33,960 Speaker 1: talk to to build twenty foot tall caricatures of people 196 00:11:34,840 --> 00:11:39,040 Speaker 1: that are just a few inches deep. In other words, 197 00:11:39,040 --> 00:11:41,480 Speaker 1: when you walk up to it, it's like you can 198 00:11:41,480 --> 00:11:44,680 Speaker 1: punch through it and it's paper mache. It looks like 199 00:11:44,760 --> 00:11:47,760 Speaker 1: this huge statue. Oh my goodness, look at this. This 200 00:11:47,840 --> 00:11:51,120 Speaker 1: is twenty feet tall. You can't miss it, and then 201 00:11:51,160 --> 00:11:54,720 Speaker 1: when you're actually confronted with it, you realize there's no 202 00:11:54,880 --> 00:11:57,560 Speaker 1: depth to it. You can punch right through it and 203 00:11:57,600 --> 00:12:00,559 Speaker 1: you see the real person on the other side. Now, 204 00:12:00,840 --> 00:12:05,520 Speaker 1: some people are fake. Many politicians, I would say, are 205 00:12:05,600 --> 00:12:07,720 Speaker 1: fake because they're desperate. 206 00:12:07,280 --> 00:12:09,440 Speaker 4: To make you like them. 207 00:12:09,880 --> 00:12:13,640 Speaker 1: They feel like if they pretend to be something, that 208 00:12:13,720 --> 00:12:17,640 Speaker 1: you will like them. Trump is not that. It's why 209 00:12:17,679 --> 00:12:22,120 Speaker 1: he wasn't a professional politician. He is just himself, for 210 00:12:22,200 --> 00:12:25,880 Speaker 1: better or worse. And I think the reason why he 211 00:12:26,120 --> 00:12:29,400 Speaker 1: had so much more support by twenty twenty four is 212 00:12:29,440 --> 00:12:32,160 Speaker 1: a lot of people saw what Bill Maher did, which 213 00:12:32,200 --> 00:12:35,160 Speaker 1: is that twenty foot caricature that the legacy media were 214 00:12:35,200 --> 00:12:37,920 Speaker 1: telling you that he's Adolf Hitler, that he's got the 215 00:12:38,000 --> 00:12:42,040 Speaker 1: Hitler mustache, that he's gonna it's not real. It wasn't 216 00:12:42,080 --> 00:12:45,520 Speaker 1: in any way accurate. And meanwhile, the twenty foot caricature 217 00:12:45,559 --> 00:12:48,080 Speaker 1: that they tried to create of Joe Biden, which was 218 00:12:48,160 --> 00:12:51,320 Speaker 1: incredibly beneficial, when you got up close to it, you 219 00:12:51,360 --> 00:12:55,400 Speaker 1: saw that that was all fake too. And I've said 220 00:12:55,559 --> 00:12:57,920 Speaker 1: in my new book that I'm writing, I think this 221 00:12:58,000 --> 00:13:04,200 Speaker 1: gets to the essence of it. Author authenticity ends cancel culture. 222 00:13:05,720 --> 00:13:10,040 Speaker 1: When you are the authentic version of yourself, for better 223 00:13:10,240 --> 00:13:15,520 Speaker 1: or worse, you can't be canceled in public anymore because 224 00:13:15,559 --> 00:13:19,440 Speaker 1: people are over it now. If you lie, if you 225 00:13:19,559 --> 00:13:23,559 Speaker 1: are fake, if you are not honest with your audience, 226 00:13:24,320 --> 00:13:27,600 Speaker 1: then you can be canceled. And I'll give you an 227 00:13:27,600 --> 00:13:32,160 Speaker 1: example that just as historic. Why did Bill Clinton keep 228 00:13:32,160 --> 00:13:34,840 Speaker 1: his job after he had an affair with an intern 229 00:13:36,240 --> 00:13:39,840 Speaker 1: in the Oval office? Bill Clinton slept with an intern. 230 00:13:40,920 --> 00:13:44,800 Speaker 1: Now you can say, okay, well that was nineteen ninety six, 231 00:13:44,920 --> 00:13:47,000 Speaker 1: nineteen ninety seven, it's a different era. 232 00:13:46,880 --> 00:13:49,080 Speaker 4: And I think that's true. 233 00:13:49,600 --> 00:13:51,720 Speaker 1: But the reason why I think he kept his job 234 00:13:52,440 --> 00:13:55,240 Speaker 1: was because, deep down, a lot of people kind of 235 00:13:55,280 --> 00:13:57,719 Speaker 1: thought that that was something that Bill Clinton might do. 236 00:13:59,160 --> 00:14:02,240 Speaker 1: You didn't really think, oh, this is a guy who's 237 00:14:02,280 --> 00:14:06,400 Speaker 1: completely committed to his wife. You didn't think Bill and 238 00:14:06,480 --> 00:14:09,920 Speaker 1: Hillary Clinton, this is the greatest couple of our lives. 239 00:14:10,240 --> 00:14:11,559 Speaker 4: You kind of thought. 240 00:14:11,920 --> 00:14:16,160 Speaker 1: Bill Clinton not really that much into Hillary Clinton. He's 241 00:14:16,200 --> 00:14:18,520 Speaker 1: probably going to sleep with somebody else while he's president. 242 00:14:19,200 --> 00:14:21,560 Speaker 1: I think if George W. Bush had done, it might 243 00:14:21,640 --> 00:14:23,880 Speaker 1: have cost him his job. I think if Barack Obama 244 00:14:23,920 --> 00:14:26,840 Speaker 1: had done, it might have cost him his job. But 245 00:14:27,000 --> 00:14:30,840 Speaker 1: Bill Clinton, it actually reflected in some way what we 246 00:14:30,920 --> 00:14:36,360 Speaker 1: anticipated and believed about him. I think Clinton was authentically himself. 247 00:14:36,800 --> 00:14:39,080 Speaker 1: I think Al Gore, who tried to replace him, wasn't. 248 00:14:39,160 --> 00:14:44,000 Speaker 1: I think George W. Bush was. Trump is what you 249 00:14:44,120 --> 00:14:47,600 Speaker 1: would think he is if you are honest and have 250 00:14:47,720 --> 00:14:50,760 Speaker 1: been seeing all of the coverage surrounding him. I think 251 00:14:50,800 --> 00:14:53,840 Speaker 1: what Bill Maher experienced, it's what I've experienced, it's what 252 00:14:53,920 --> 00:14:59,120 Speaker 1: Buck experienced, It's what most of you would experience. If 253 00:14:59,160 --> 00:15:01,800 Speaker 1: you had the eyes opportunity to meet Trump, and if 254 00:15:01,840 --> 00:15:04,120 Speaker 1: you took your kids or grandkids to meet Trump too, 255 00:15:04,400 --> 00:15:06,840 Speaker 1: I'm telling you you would really like him and. 256 00:15:06,760 --> 00:15:08,000 Speaker 4: He would be fabulous with you. 257 00:15:08,560 --> 00:15:11,880 Speaker 1: That I believe is one reason that he's been so 258 00:15:11,920 --> 00:15:15,240 Speaker 1: successful as a politician. He's actually just kind of a 259 00:15:15,280 --> 00:15:19,920 Speaker 1: likable guy. And if you remember before he got into politics, 260 00:15:20,000 --> 00:15:23,240 Speaker 1: that was his reputation. A little bit of a bragger, 261 00:15:25,680 --> 00:15:28,360 Speaker 1: a little bit in love with himself. Yeah, you can 262 00:15:28,400 --> 00:15:31,000 Speaker 1: say that about Trump. I was just playing one of 263 00:15:31,000 --> 00:15:33,480 Speaker 1: the West Palm Beach and he had framed that he 264 00:15:33,520 --> 00:15:36,960 Speaker 1: was one of the richest people in the world. In 265 00:15:37,200 --> 00:15:41,640 Speaker 1: the locker room, all the different paintings and pictures hanging 266 00:15:41,640 --> 00:15:44,000 Speaker 1: on the wall. I think a lot of rich people 267 00:15:44,040 --> 00:15:46,800 Speaker 1: probably wouldn't frame the magazine cover that called them one 268 00:15:46,800 --> 00:15:49,000 Speaker 1: of the richest people in the world and hang it 269 00:15:49,120 --> 00:15:54,080 Speaker 1: up in their locker room. But that's Trump, and I 270 00:15:54,160 --> 00:15:57,160 Speaker 1: think the reason why he's having so much more success 271 00:15:57,160 --> 00:15:59,480 Speaker 1: in this second term is more and more people are, 272 00:15:59,520 --> 00:16:01,840 Speaker 1: like Bill Moore, are finding out what the truth is well, 273 00:16:01,960 --> 00:16:03,920 Speaker 1: tax filing deadline for the i r S. Good for 274 00:16:03,960 --> 00:16:05,800 Speaker 1: him for meeting, Good for Trump for meeting. Thank you 275 00:16:05,800 --> 00:16:08,760 Speaker 1: to Kid Rock Dana White for setting it up. I 276 00:16:08,760 --> 00:16:09,720 Speaker 1: think we need way more of this. 277 00:16:10,920 --> 00:16:14,240 Speaker 2: You're listening to Team forty seven with Clay and Buck. 278 00:16:14,440 --> 00:16:17,920 Speaker 5: Attorney General Ken Taxton of the state of Texas he 279 00:16:18,040 --> 00:16:22,040 Speaker 5: joins us now from Dallas, and mister Attorney General Paxston. 280 00:16:22,080 --> 00:16:23,320 Speaker 5: Appreciate you calling in, sir. 281 00:16:24,000 --> 00:16:26,080 Speaker 6: Hey, glad to be on. I appreciate you having me on. 282 00:16:26,440 --> 00:16:29,000 Speaker 6: You's gonna be a fun, fun, fun year coming up. 283 00:16:29,520 --> 00:16:32,880 Speaker 5: Can I We know you've announced your Senate run and 284 00:16:32,920 --> 00:16:35,880 Speaker 5: so that's that's a very you know, very very exciting 285 00:16:35,960 --> 00:16:37,760 Speaker 5: for you and your team that you're going to be 286 00:16:38,280 --> 00:16:39,520 Speaker 5: You've thrown your hat on the ring for that. 287 00:16:39,560 --> 00:16:40,840 Speaker 4: I want to talk to you more about that. 288 00:16:41,760 --> 00:16:44,360 Speaker 5: In the meantime, though, I thought perhaps you could just 289 00:16:44,400 --> 00:16:48,440 Speaker 5: give us your perspective if if a state attorney general 290 00:16:48,960 --> 00:16:52,800 Speaker 5: is involved in multiple mortgage frauds, if that is found 291 00:16:52,800 --> 00:16:55,920 Speaker 5: to be true, shouldn't that state attorney general. I'm sure 292 00:16:55,920 --> 00:16:57,760 Speaker 5: you're familiar with what's going on in New York and 293 00:16:57,800 --> 00:17:01,640 Speaker 5: Attorney General Letitia James and the allegations that are out 294 00:17:01,640 --> 00:17:05,520 Speaker 5: there right now. Aren't you, Attorney General Packson held to 295 00:17:05,560 --> 00:17:08,760 Speaker 5: a higher standard as a chief law enforcement officer in 296 00:17:08,800 --> 00:17:11,040 Speaker 5: your state, and shouldn't that be the case in New 297 00:17:11,160 --> 00:17:11,840 Speaker 5: York as well? 298 00:17:12,560 --> 00:17:15,760 Speaker 6: Well? Certainly not necessarily a higher standard, but she had 299 00:17:15,800 --> 00:17:17,879 Speaker 6: to be held to the standard that everybody else is, 300 00:17:17,920 --> 00:17:21,199 Speaker 6: which is, if she's violating the law, she should be 301 00:17:21,240 --> 00:17:23,840 Speaker 6: held accountable for that, and if she's committed a crime, 302 00:17:24,400 --> 00:17:27,760 Speaker 6: she should be prosecuted for that. And obviously that would 303 00:17:27,760 --> 00:17:30,960 Speaker 6: affect her ability to continue as Attorney General of New York. 304 00:17:32,840 --> 00:17:34,800 Speaker 1: A lot of discussion. Well, first of all, let's allow 305 00:17:34,880 --> 00:17:38,160 Speaker 1: you to tell our audience, who may not have heard otherwise, 306 00:17:38,760 --> 00:17:41,440 Speaker 1: you have had a lot of success in Texas electoral 307 00:17:41,480 --> 00:17:44,400 Speaker 1: politics already. You've won a lot of battles, You've fought 308 00:17:44,400 --> 00:17:47,040 Speaker 1: a lot of battles. People have coming after you aggressively, 309 00:17:47,560 --> 00:17:50,240 Speaker 1: and you are going to be running now for the 310 00:17:50,280 --> 00:17:54,200 Speaker 1: Senate from Texas that is next year, but the process 311 00:17:54,280 --> 00:17:57,240 Speaker 1: is underway. Wins the primary, what do you expect it 312 00:17:57,280 --> 00:17:59,600 Speaker 1: to look like? And for people out there that may 313 00:17:59,640 --> 00:18:02,240 Speaker 1: not have been familiar with you in the past, why 314 00:18:02,240 --> 00:18:03,400 Speaker 1: are you the right choice? 315 00:18:04,560 --> 00:18:07,119 Speaker 6: So the primary is the first to DMR. So we're, 316 00:18:07,400 --> 00:18:09,320 Speaker 6: you know, approximately ten and a half months away from 317 00:18:09,359 --> 00:18:13,520 Speaker 6: the primary. And obviously John corn is our current center, 318 00:18:13,640 --> 00:18:15,760 Speaker 6: been there for twenty three years, going on twenty four. 319 00:18:15,880 --> 00:18:20,359 Speaker 6: He'd like to state thirty. For one, I think that's 320 00:18:20,440 --> 00:18:23,640 Speaker 6: too long. And for two, I don't feel like he's 321 00:18:23,640 --> 00:18:27,959 Speaker 6: done a good job representing our people. I don't think 322 00:18:27,960 --> 00:18:29,600 Speaker 6: he's done a good job. And I think there is 323 00:18:30,080 --> 00:18:32,840 Speaker 6: it's time for a change. So that's why I'm running. 324 00:18:33,160 --> 00:18:36,480 Speaker 6: There's a lot of issues that I'm frustrated I think 325 00:18:36,520 --> 00:18:40,600 Speaker 6: our voters are frustrated with and it takes a lot 326 00:18:40,640 --> 00:18:42,760 Speaker 6: of effort to win a statewide race in Texas. You 327 00:18:42,840 --> 00:18:45,200 Speaker 6: need name ID, you need money, and they've just start 328 00:18:45,320 --> 00:18:47,720 Speaker 6: that many people that have the name ID or the 329 00:18:47,720 --> 00:18:51,680 Speaker 6: ability to raise funds that can go against the sitting incumbent, 330 00:18:51,840 --> 00:18:53,640 Speaker 6: especially in the state of Texas, which. 331 00:18:57,880 --> 00:18:59,680 Speaker 1: We may have just lost him there for a sec 332 00:19:00,080 --> 00:19:01,520 Speaker 1: want to make sure he get his cell phone. He's 333 00:19:01,560 --> 00:19:04,480 Speaker 1: in Dallas right now, he's begun the campaign, and he 334 00:19:04,560 --> 00:19:06,720 Speaker 1: was just laying out buck what is going to be 335 00:19:06,960 --> 00:19:10,800 Speaker 1: probably I think it's fair to say the biggest Republican 336 00:19:10,920 --> 00:19:15,000 Speaker 1: primary battle in twenty twenty six anywhere in the country. 337 00:19:15,640 --> 00:19:18,320 Speaker 1: John Cornyn, who has been in office for some time, 338 00:19:18,440 --> 00:19:21,840 Speaker 1: current sitting Texas Senator, and Ken Paxton, who is the 339 00:19:21,840 --> 00:19:24,600 Speaker 1: Attorney General right now of Texas, very well known. But 340 00:19:24,640 --> 00:19:27,920 Speaker 1: I wanted you guys to hear from him exactly the 341 00:19:28,000 --> 00:19:31,720 Speaker 1: choice that he was making is going to be a big, expensive, 342 00:19:31,840 --> 00:19:32,480 Speaker 1: huge battle. 343 00:19:32,480 --> 00:19:34,280 Speaker 4: He just laid it out. March him next year. 344 00:19:34,560 --> 00:19:36,800 Speaker 5: So let me ask you, just Attorney General Paxston, because 345 00:19:36,800 --> 00:19:38,639 Speaker 5: this this is going to be a primary a lot 346 00:19:38,720 --> 00:19:42,120 Speaker 5: of people spend time thinking about and involved in. Will 347 00:19:42,119 --> 00:19:44,760 Speaker 5: be a lot of dollars and for anyone who's listening, 348 00:19:44,800 --> 00:19:46,640 Speaker 5: I just want to be clear we will because we 349 00:19:46,760 --> 00:19:50,400 Speaker 5: don't endorse in primaries. We will have an invite out 350 00:19:50,440 --> 00:19:52,879 Speaker 5: to Senator Cornyn as well so he can make his case. 351 00:19:53,400 --> 00:19:58,920 Speaker 5: But Attorney General Paxton, where have you broken with Cornyn 352 00:19:59,119 --> 00:20:01,520 Speaker 5: on a ma your issue and what you said that 353 00:20:01,560 --> 00:20:03,600 Speaker 5: you're not you don't agree with some of the positions 354 00:20:03,600 --> 00:20:05,720 Speaker 5: he's taken and some of what he's done to represent 355 00:20:05,720 --> 00:20:08,440 Speaker 5: the state of Texas. Can you give us some example 356 00:20:08,560 --> 00:20:10,440 Speaker 5: so we can just start to understand what the differences 357 00:20:10,440 --> 00:20:11,359 Speaker 5: are between the two of you. 358 00:20:12,240 --> 00:20:14,239 Speaker 6: Sure, I'll give you a couple of examples. First was 359 00:20:14,240 --> 00:20:17,240 Speaker 6: his push for the gun restrictions that he was able 360 00:20:17,280 --> 00:20:21,520 Speaker 6: to pass with the encouragement of Joe Biden. And he 361 00:20:21,560 --> 00:20:25,640 Speaker 6: was able to do that, restricting gun ownership rights, very 362 00:20:25,720 --> 00:20:29,080 Speaker 6: unpopular position in Texas and particularly in the primary issue 363 00:20:29,160 --> 00:20:32,520 Speaker 6: might imagine, and I remember after it was done that 364 00:20:32,840 --> 00:20:35,800 Speaker 6: Donald Trump came out and called them rhino and President 365 00:20:36,359 --> 00:20:39,560 Speaker 6: Biden congratulated him on doing a great job. That will 366 00:20:39,560 --> 00:20:41,920 Speaker 6: never happen with me. You will never see me congratulated 367 00:20:42,000 --> 00:20:44,880 Speaker 6: by a president like Joe Biden. Another issue that he's 368 00:20:44,880 --> 00:20:48,520 Speaker 6: been very, very bad on is the border. He's criticized 369 00:20:48,560 --> 00:20:52,359 Speaker 6: Trump's building of the wall over and over. He said 370 00:20:52,400 --> 00:20:54,199 Speaker 6: negative things about it and not wanting to do it. 371 00:20:54,200 --> 00:20:57,320 Speaker 6: He's insinuated that he would be for amnesty. Those are 372 00:20:57,359 --> 00:21:00,000 Speaker 6: both very unpopular positions in Texas, where a border stays. 373 00:21:00,600 --> 00:21:02,919 Speaker 6: We need all the protection we can get, not less. 374 00:21:03,480 --> 00:21:05,439 Speaker 6: And then, of course he's been he's not been a 375 00:21:05,480 --> 00:21:08,280 Speaker 6: fan of President Trump. In twenty sixteen, he called President 376 00:21:08,320 --> 00:21:11,440 Speaker 6: Trump and albatross around our neck, and in twenty twenty 377 00:21:11,480 --> 00:21:13,560 Speaker 6: four he said he was not endorsing President Trump, that 378 00:21:13,600 --> 00:21:16,439 Speaker 6: we should go, we should move on, and that he 379 00:21:16,520 --> 00:21:20,560 Speaker 6: also insinuated that President Trump had committed crimes and potentially 380 00:21:20,560 --> 00:21:23,000 Speaker 6: should be held accountable for this time. So those are 381 00:21:23,000 --> 00:21:27,000 Speaker 6: three of the issues that are I think are important 382 00:21:27,040 --> 00:21:32,000 Speaker 6: to our voters, and I think those are distinguished very 383 00:21:32,040 --> 00:21:33,480 Speaker 6: much distinguished me from him. 384 00:21:34,600 --> 00:21:37,439 Speaker 1: So let's dive into this in particular, you just mentioned 385 00:21:37,440 --> 00:21:40,360 Speaker 1: President Trump. I think he won the state of Texas 386 00:21:40,400 --> 00:21:43,439 Speaker 1: by twelve fourteen points. You probably know the exact margin, 387 00:21:43,480 --> 00:21:47,520 Speaker 1: but it wasn't close. I'm assuming that, if he hasn't already, 388 00:21:47,920 --> 00:21:51,080 Speaker 1: that he is going to be endorsing you pretty wholeheartedly 389 00:21:51,400 --> 00:21:54,600 Speaker 1: for this office, given that you have worked quite a 390 00:21:54,600 --> 00:21:56,840 Speaker 1: lot with Trump when it comes to the border, when 391 00:21:56,880 --> 00:22:00,840 Speaker 1: it comes to legal related issues, how effective do you 392 00:22:00,960 --> 00:22:04,119 Speaker 1: think you would be working with Trump in twenty twenty 393 00:22:04,160 --> 00:22:06,680 Speaker 1: seven if you're able to hold that right hand up 394 00:22:06,720 --> 00:22:08,840 Speaker 1: and become the next Senator from Texas. 395 00:22:09,160 --> 00:22:11,240 Speaker 6: Yeah, certainly the endorsement is up to him. I don't 396 00:22:11,280 --> 00:22:13,800 Speaker 6: presume anything, but I will say this, I've had a 397 00:22:13,840 --> 00:22:17,120 Speaker 6: great working relationship with President Trump from almost the day 398 00:22:17,119 --> 00:22:19,159 Speaker 6: he got into office. I didn't know him, but we 399 00:22:19,960 --> 00:22:22,080 Speaker 6: went back and forth on many many issues while he 400 00:22:22,160 --> 00:22:24,440 Speaker 6: was in his first term. I've kept in touch with 401 00:22:24,520 --> 00:22:28,159 Speaker 6: him since then during the times he was out of office, 402 00:22:28,680 --> 00:22:30,440 Speaker 6: and have been a big sport. As matter of fact, 403 00:22:30,480 --> 00:22:32,560 Speaker 6: I was one of two elected officials that showed up 404 00:22:32,560 --> 00:22:35,360 Speaker 6: at mar A Lago. The other was Troyonell's Congressman Troynell's 405 00:22:35,600 --> 00:22:37,480 Speaker 6: that actually showed up when he announced, because if you'll 406 00:22:37,520 --> 00:22:39,920 Speaker 6: remember when he announced, there was a lot of issues 407 00:22:39,960 --> 00:22:42,919 Speaker 6: swirling about his legal issues. A lot of Republicans were 408 00:22:43,000 --> 00:22:46,359 Speaker 6: keeping their distance because DeSantis was on the move, and 409 00:22:47,280 --> 00:22:50,400 Speaker 6: I was there with Troynelle because one knew I knew 410 00:22:50,400 --> 00:22:52,160 Speaker 6: the President trub would do a great job. And two, 411 00:22:53,359 --> 00:22:56,119 Speaker 6: you know, I'm loyal to people that I trust and 412 00:22:56,160 --> 00:22:56,679 Speaker 6: I believe in. 413 00:22:57,960 --> 00:23:01,240 Speaker 5: Speaking of Texas Attorney General Ken Paxton, he is going 414 00:23:01,280 --> 00:23:04,879 Speaker 5: to be running for a Senate seat against the incumbent there, 415 00:23:05,000 --> 00:23:07,240 Speaker 5: John Cornyn, and A. G. 416 00:23:07,440 --> 00:23:07,880 Speaker 4: Paxton. 417 00:23:08,280 --> 00:23:10,840 Speaker 5: I wanted to lean on your legal expertise if I 418 00:23:10,840 --> 00:23:15,240 Speaker 5: could for a second, how do you assess this? This 419 00:23:15,520 --> 00:23:17,359 Speaker 5: uh back and forth? 420 00:23:17,480 --> 00:23:17,640 Speaker 4: Right? 421 00:23:17,680 --> 00:23:23,960 Speaker 5: The media is completely drilled into now this mister Abrago Garcia, 422 00:23:24,040 --> 00:23:27,240 Speaker 5: who is being currently held in El Salvador. Just I 423 00:23:27,280 --> 00:23:29,800 Speaker 5: wanted to just hear what you think about all of 424 00:23:29,840 --> 00:23:33,359 Speaker 5: the uh, the objections that are coming from some people 425 00:23:33,440 --> 00:23:37,800 Speaker 5: about the process, the judge that's involved, what you think 426 00:23:37,800 --> 00:23:40,960 Speaker 5: should happen. You know, you handle these kinds of decisions 427 00:23:40,960 --> 00:23:44,480 Speaker 5: as a as an attorney general for our second biggest state. 428 00:23:44,800 --> 00:23:46,520 Speaker 5: What do you think about what's going on here? 429 00:23:47,200 --> 00:23:49,280 Speaker 6: Well, I think this judge across the line, this is 430 00:23:49,280 --> 00:23:51,960 Speaker 6: a this is the executive branch, so he's the judge 431 00:23:52,040 --> 00:23:55,560 Speaker 6: is a crossed We're all about separation of powers. Is 432 00:23:55,840 --> 00:23:58,679 Speaker 6: Justiary's supposed to be the weakest branch, and they are 433 00:23:58,680 --> 00:24:01,000 Speaker 6: supposed to stay out of the legislative side, and they're 434 00:24:01,000 --> 00:24:03,480 Speaker 6: supposed to say, out of the executive side. This judge 435 00:24:03,520 --> 00:24:07,680 Speaker 6: has clearly stepped into the shoes of the executive role 436 00:24:08,119 --> 00:24:10,560 Speaker 6: and taking control of the situation. I think that's wrong 437 00:24:10,680 --> 00:24:14,080 Speaker 6: and I think that needs to stop. I think Congress 438 00:24:14,119 --> 00:24:19,080 Speaker 6: needs to act and stop these nationwide injunctions that aren't 439 00:24:19,080 --> 00:24:22,760 Speaker 6: based in any fact or law, and we certainly there's 440 00:24:22,840 --> 00:24:24,600 Speaker 6: I think there are narrow cases that we use against 441 00:24:24,640 --> 00:24:27,440 Speaker 6: Joe Biden when it was a nationwide issue, that this 442 00:24:27,880 --> 00:24:30,560 Speaker 6: one is clearly in the purview of the executive and 443 00:24:31,359 --> 00:24:32,840 Speaker 6: this judge just needs to be stopped. 444 00:24:33,600 --> 00:24:38,320 Speaker 1: How has life in Texas changed since Joe Biden left office? 445 00:24:38,359 --> 00:24:42,080 Speaker 1: Trump came in in particular when it comes to the border. 446 00:24:42,119 --> 00:24:44,960 Speaker 1: We talk about it on the program because basically the 447 00:24:44,960 --> 00:24:47,959 Speaker 1: border has ceased to be an issue at all. It 448 00:24:48,000 --> 00:24:50,600 Speaker 1: is now secure. What does that look like? What does 449 00:24:50,600 --> 00:24:52,040 Speaker 1: it feel like in Texas? 450 00:24:52,320 --> 00:24:54,840 Speaker 6: It's I mean, I think people are excited, they feel safer. 451 00:24:56,440 --> 00:24:59,240 Speaker 6: The costliness of it has gone down. Obviously for US, 452 00:24:59,440 --> 00:25:04,400 Speaker 6: we a lot of expense from law enforcement, health, insurance, 453 00:25:05,400 --> 00:25:08,639 Speaker 6: all kinds of different issues. Education, that's our cost. And 454 00:25:08,680 --> 00:25:11,440 Speaker 6: the Celler government never stepped in. Even though they were 455 00:25:11,440 --> 00:25:13,600 Speaker 6: inviting these people in and working with the cartels to 456 00:25:13,600 --> 00:25:16,160 Speaker 6: get them across the border, they were not helping us financially, 457 00:25:16,800 --> 00:25:19,640 Speaker 6: and so it's a huge relief to us. And obviously 458 00:25:19,640 --> 00:25:22,760 Speaker 6: our legislatures spent billions of dollars trying to protect the 459 00:25:22,800 --> 00:25:26,560 Speaker 6: border in lieu of the Biden administration doing just the opposite. 460 00:25:26,600 --> 00:25:29,480 Speaker 6: So it has a tremendous financial impact, but it's also 461 00:25:29,520 --> 00:25:31,960 Speaker 6: I think people just feel safer knowing that we have 462 00:25:32,000 --> 00:25:33,600 Speaker 6: a president that's protecting our order. 463 00:25:34,480 --> 00:25:37,320 Speaker 1: We're number one in Austin, off and on, We're number 464 00:25:37,359 --> 00:25:39,880 Speaker 1: one in San Antonio, off and on. We are number 465 00:25:39,880 --> 00:25:41,679 Speaker 1: one in Houston, off and on. I say off and 466 00:25:41,720 --> 00:25:45,600 Speaker 1: on because on a weekly, monthly basis things can evolve. 467 00:25:45,640 --> 00:25:49,080 Speaker 1: But we have monster audience across the entire state of Texas, 468 00:25:49,080 --> 00:25:51,480 Speaker 1: and we appreciate all of you listening right now. We're 469 00:25:51,520 --> 00:25:53,760 Speaker 1: also newly on in Dallas, which is where I think 470 00:25:53,760 --> 00:25:58,040 Speaker 1: you are right now. When you look at this March 471 00:25:58,080 --> 00:26:00,399 Speaker 1: primary that is coming up next year, I know the 472 00:26:00,480 --> 00:26:03,760 Speaker 1: answer is everywhere in terms of where will this race 473 00:26:03,880 --> 00:26:08,640 Speaker 1: be decided, but in particular what areas? What has turnout 474 00:26:08,680 --> 00:26:10,720 Speaker 1: look like a lot of times people don't show up 475 00:26:10,800 --> 00:26:13,240 Speaker 1: necessarily in big numbers for primaries. 476 00:26:13,520 --> 00:26:15,640 Speaker 4: What does it take for you to beat. 477 00:26:15,480 --> 00:26:17,639 Speaker 1: An incumbent senator who certainly is going to have a 478 00:26:17,680 --> 00:26:20,040 Speaker 1: lot of money as well? Well. 479 00:26:20,080 --> 00:26:22,640 Speaker 6: I mean, we've already done three polls with three different polsters. 480 00:26:22,680 --> 00:26:24,879 Speaker 6: I did one with Trump's polster that had me up 481 00:26:24,920 --> 00:26:26,960 Speaker 6: by twenty five. I did one with Ted Cruiz's bolster 482 00:26:27,119 --> 00:26:29,400 Speaker 6: that has me twenty five, and we did a third 483 00:26:29,400 --> 00:26:32,240 Speaker 6: one just to make sure it's twenty seven. So the votors, 484 00:26:32,359 --> 00:26:34,320 Speaker 6: I mean a lot of it's already baked in. They 485 00:26:34,359 --> 00:26:36,840 Speaker 6: know John Corny's been an officer for over forty years. 486 00:26:37,359 --> 00:26:39,560 Speaker 6: They know me. I've been in office for in the 487 00:26:39,600 --> 00:26:42,360 Speaker 6: Attorney General's office for eleven years now, and so I 488 00:26:42,400 --> 00:26:45,960 Speaker 6: think the primary voters are really educated. I feel very 489 00:26:46,000 --> 00:26:49,320 Speaker 6: strongly that we are going to do well everywhere, and 490 00:26:49,800 --> 00:26:52,119 Speaker 6: it's it's all based on record, and he's going to 491 00:26:52,200 --> 00:26:54,680 Speaker 6: have to spend the seaton. His record is not what 492 00:26:54,800 --> 00:26:57,400 Speaker 6: the voters want. He's not going to be talking about 493 00:26:57,440 --> 00:26:59,120 Speaker 6: his record. He's not going to be talking about mine, 494 00:26:59,160 --> 00:27:02,679 Speaker 6: because my record is a record that the voters like. 495 00:27:03,520 --> 00:27:06,800 Speaker 6: He's going to be going negative personally. That's that's his 496 00:27:07,320 --> 00:27:09,720 Speaker 6: a lot of attack, and he's got to pray that 497 00:27:09,840 --> 00:27:13,600 Speaker 6: somehow Trump does not that he endorses him, because that 498 00:27:13,600 --> 00:27:16,200 Speaker 6: would be his only way of getting into the game, 499 00:27:16,240 --> 00:27:17,320 Speaker 6: and he's still going to lose. 500 00:27:17,640 --> 00:27:20,280 Speaker 1: Do you think it's possible he drops out, decides not 501 00:27:20,359 --> 00:27:20,800 Speaker 1: to run. 502 00:27:21,680 --> 00:27:24,359 Speaker 6: Look, I don't presume anything, he says he's running I'm playing. 503 00:27:24,480 --> 00:27:26,320 Speaker 6: I'm playing this for you know. I'm going to run 504 00:27:26,320 --> 00:27:28,639 Speaker 6: against John Corny, So that would be a great question 505 00:27:28,760 --> 00:27:31,520 Speaker 6: for him. I'm sure no matter what he's thinking in 506 00:27:31,560 --> 00:27:35,600 Speaker 6: his head, it's got across his mind. If he's that 507 00:27:35,680 --> 00:27:37,919 Speaker 6: far down, he's pulled that he knows that he's behind 508 00:27:37,960 --> 00:27:41,200 Speaker 6: by double digits. And look, I've been to the Republican conventions. 509 00:27:41,200 --> 00:27:43,320 Speaker 6: The last time he spoke that he dared to speak 510 00:27:43,320 --> 00:27:45,800 Speaker 6: to the Republican voters, that was three years ago. He 511 00:27:45,840 --> 00:27:47,960 Speaker 6: got booed for thirty straight minutes. And I'm not talking 512 00:27:47,960 --> 00:27:51,080 Speaker 6: to quiet boos. I'm talking loudly booed for thirty minutes. 513 00:27:51,520 --> 00:27:53,080 Speaker 6: And that was all based on what he did with 514 00:27:53,119 --> 00:27:56,080 Speaker 6: the restrictions on on gun ownership in our state. 515 00:27:57,640 --> 00:27:57,880 Speaker 7: Tourney. 516 00:27:57,920 --> 00:28:00,240 Speaker 5: General Packson, appreciate you being with us, sir. Best luck 517 00:28:00,240 --> 00:28:01,400 Speaker 5: to you. We'll talk to you again soon. 518 00:28:01,960 --> 00:28:03,520 Speaker 6: Hey, have a great day. Thanks for having me on. 519 00:28:05,040 --> 00:28:08,359 Speaker 2: You're listening to Team forty seven with Clay and Buck. 520 00:28:09,160 --> 00:28:11,840 Speaker 5: We are joined now by Mike Gallagher. He is head 521 00:28:11,880 --> 00:28:15,520 Speaker 5: of defense at Palentier. He's got a really interesting piece 522 00:28:15,560 --> 00:28:18,679 Speaker 5: in the Wall Street Journal Time for Accountability on the 523 00:28:18,760 --> 00:28:22,080 Speaker 5: COVID lab leak cover up? Mike, appreciate you making the 524 00:28:22,119 --> 00:28:23,080 Speaker 5: time for us. 525 00:28:23,760 --> 00:28:24,919 Speaker 7: What's an honor to be with you. 526 00:28:25,840 --> 00:28:28,040 Speaker 5: Let's just jump into it. You got into this in 527 00:28:28,080 --> 00:28:31,280 Speaker 5: your piece. What does accountability look like? What does the 528 00:28:31,320 --> 00:28:33,639 Speaker 5: public need to know? What steps have to be taken? 529 00:28:33,720 --> 00:28:37,480 Speaker 5: Now when it comes to the lab leak cover up? 530 00:28:37,520 --> 00:28:39,680 Speaker 5: I see, I love that there's a picture of Fauci 531 00:28:40,280 --> 00:28:43,720 Speaker 5: touching a little fake virus in your op ed. 532 00:28:43,840 --> 00:28:45,800 Speaker 4: He's the absolute worst. What needs to happen. 533 00:28:47,440 --> 00:28:50,120 Speaker 7: Well, I can't claim credit for the artwork that comes 534 00:28:50,120 --> 00:28:51,920 Speaker 7: with these op eds. I just do the words. But 535 00:28:51,960 --> 00:28:55,280 Speaker 7: it was it was quite nice to me. It just 536 00:28:55,320 --> 00:28:59,880 Speaker 7: starts with the basic step of complete declassification of relevant 537 00:28:59,880 --> 00:29:02,600 Speaker 7: and intelligence. If you remember, we actually passed the law 538 00:29:02,640 --> 00:29:06,120 Speaker 7: when I was in Congress requiring that the Biden administration 539 00:29:06,280 --> 00:29:09,760 Speaker 7: do just that, but they didn't comply with the law. 540 00:29:09,840 --> 00:29:13,640 Speaker 7: When they finally did an investigation into the origins of COVID, 541 00:29:14,160 --> 00:29:17,040 Speaker 7: it was not serious. What came out was heavily redacted. 542 00:29:17,400 --> 00:29:20,720 Speaker 7: It was a regurgitation of the prevailing consensus. And so 543 00:29:20,760 --> 00:29:25,480 Speaker 7: there's been no accountability for our own scientific establishment, which 544 00:29:25,560 --> 00:29:29,880 Speaker 7: was profoundly corrupted. Our own intelligence community was parroting the 545 00:29:29,920 --> 00:29:34,440 Speaker 7: corrupted consensus of the scientists, and even the authors of 546 00:29:34,480 --> 00:29:37,640 Speaker 7: the proximal Origins article, which spread a lot of this 547 00:29:37,760 --> 00:29:41,560 Speaker 7: misinformation have not been held accountable. If the opposite has happened, 548 00:29:41,560 --> 00:29:44,960 Speaker 7: they continue to get awards. Fauci continues to be lauded, 549 00:29:45,000 --> 00:29:47,720 Speaker 7: and we have centers named after Fauci. And without that 550 00:29:47,760 --> 00:29:51,200 Speaker 7: basic step of accountability, people just aren't going to trust 551 00:29:51,720 --> 00:29:54,840 Speaker 7: the government. They're not going to trust the health institutions, 552 00:29:54,880 --> 00:29:58,040 Speaker 7: the scientific institutions, and therefore were less prepared to prevent 553 00:29:58,040 --> 00:30:00,480 Speaker 7: a future pandemic. So I think accountabilit all these starts 554 00:30:00,520 --> 00:30:03,840 Speaker 7: with getting the information out there, even if it's super 555 00:30:03,920 --> 00:30:09,040 Speaker 7: embarrassing to the government. Agencies that allow tax dayer dollars 556 00:30:09,080 --> 00:30:12,720 Speaker 7: to be fundled, funneled to corrupt nonprofits like the Eco 557 00:30:12,760 --> 00:30:15,640 Speaker 7: Health Alliance and wind their way into the hands of 558 00:30:15,680 --> 00:30:20,680 Speaker 7: the Luhan Institute of Virology, there's been no accountability thus far. 559 00:30:21,240 --> 00:30:23,400 Speaker 1: That's why I read your piece and I appreciate you 560 00:30:23,440 --> 00:30:25,040 Speaker 1: coming on with us. I know how busy you are 561 00:30:25,040 --> 00:30:27,760 Speaker 1: in your new job, and we'll talk about that maybe 562 00:30:27,760 --> 00:30:31,560 Speaker 1: in a moment, but trump for people who do not know, 563 00:30:31,640 --> 00:30:35,080 Speaker 1: I encourage you to go to COVID dot gov today 564 00:30:35,600 --> 00:30:38,560 Speaker 1: and look at everything that's being laid out there. We're 565 00:30:38,600 --> 00:30:42,640 Speaker 1: five years after COVID, and Buck and I focus on 566 00:30:42,680 --> 00:30:46,200 Speaker 1: this a lot because we're kind of history nerds, and 567 00:30:46,400 --> 00:30:50,200 Speaker 1: one of the good things about time passing is over time, 568 00:30:50,360 --> 00:30:53,600 Speaker 1: history I like to think becomes more honest about what 569 00:30:53,840 --> 00:30:59,040 Speaker 1: really transpired. Are you optimistic that twenty forty years from 570 00:30:59,080 --> 00:31:02,600 Speaker 1: now will get a more honest version of what happened 571 00:31:02,720 --> 00:31:05,280 Speaker 1: and the failures of this nation when it comes to 572 00:31:05,360 --> 00:31:09,600 Speaker 1: responding to COVID in generations ahead? Or do you think 573 00:31:09,600 --> 00:31:12,000 Speaker 1: the same people that are trying to stop us now 574 00:31:12,360 --> 00:31:15,480 Speaker 1: will continue to fight for generations into the future to 575 00:31:15,600 --> 00:31:17,520 Speaker 1: avoid acknowledging how wrong they were. 576 00:31:18,520 --> 00:31:20,800 Speaker 7: Well, I would only say I don't think we have twenty, 577 00:31:20,880 --> 00:31:23,640 Speaker 7: let alone forty years right. We had a report a 578 00:31:23,720 --> 00:31:26,640 Speaker 7: few months ago that in February, researchers that the will 579 00:31:26,640 --> 00:31:31,480 Speaker 7: had Ince Vivirology had experimented with a new bat coronavirus 580 00:31:31,520 --> 00:31:34,720 Speaker 7: that looked a lot similar to COVID nineteen. What you 581 00:31:34,840 --> 00:31:37,080 Speaker 7: learn is you sort of dig into the nature of 582 00:31:37,120 --> 00:31:40,480 Speaker 7: what happened in Muhan, but lab accidents more broadly is 583 00:31:40,480 --> 00:31:43,600 Speaker 7: that these are actually more common than we realize, and 584 00:31:43,640 --> 00:31:47,120 Speaker 7: so part of the push for accountability is based on 585 00:31:47,240 --> 00:31:50,800 Speaker 7: the idea that the risks of a pandemic like the 586 00:31:50,840 --> 00:31:54,160 Speaker 7: one we went through with COVID nineteen or with one 587 00:31:54,160 --> 00:31:56,880 Speaker 7: that could be far worse if a future virus were 588 00:31:57,040 --> 00:32:02,200 Speaker 7: just as pathenogenic or more lethal. Rather, those risks have 589 00:32:02,320 --> 00:32:04,520 Speaker 7: not gone down. We haven't learned any lessons, and so 590 00:32:04,560 --> 00:32:07,600 Speaker 7: we need accountability on a year timeline, not a twenty 591 00:32:07,680 --> 00:32:10,360 Speaker 7: year time which is why I was very glad to 592 00:32:10,360 --> 00:32:13,640 Speaker 7: see that President Trump launched his website. I would encourage 593 00:32:13,640 --> 00:32:17,200 Speaker 7: all Americans to go to the website right now and 594 00:32:17,280 --> 00:32:21,320 Speaker 7: really lays out five basic common sense truths that the 595 00:32:21,360 --> 00:32:25,720 Speaker 7: government heretofore has not acknowledged. One the virus possessed biological 596 00:32:25,800 --> 00:32:28,920 Speaker 7: characteristics that you couldn't find in nature. To all the 597 00:32:29,000 --> 00:32:32,560 Speaker 7: data suggests it stems from a single introduction into humans, 598 00:32:32,880 --> 00:32:36,880 Speaker 7: not multiple spillovers like previous pandemics. Three, That the Wuhan 599 00:32:36,920 --> 00:32:39,960 Speaker 7: Institute had conducted gain to function research at an adequate 600 00:32:40,000 --> 00:32:43,400 Speaker 7: safety levels, or that the researchers at the Wuhan It's 601 00:32:43,480 --> 00:32:46,160 Speaker 7: Too fell ill with COVID months before the virus was 602 00:32:46,160 --> 00:32:50,040 Speaker 7: allegedly discovered at a web market and finally, after all 603 00:32:50,080 --> 00:32:53,400 Speaker 7: these years, there's no scientific evidence of a natural origin 604 00:32:53,800 --> 00:32:56,120 Speaker 7: that has surfaced. That alone has done more to advance 605 00:32:56,160 --> 00:33:00,480 Speaker 7: the case of accountability than under four years of President Biden. 606 00:33:00,520 --> 00:33:02,240 Speaker 7: So we need to press the gas. We need to 607 00:33:02,240 --> 00:33:04,520 Speaker 7: hold our own agencies accountable, and again we need to 608 00:33:04,760 --> 00:33:06,440 Speaker 7: declassify all the relevant information. 609 00:33:07,160 --> 00:33:09,320 Speaker 5: Mike, I wanted to pivot a little bit here and 610 00:33:09,520 --> 00:33:12,600 Speaker 5: lean into another area of expertise, something you're dealing with 611 00:33:12,680 --> 00:33:14,880 Speaker 5: day in and day out now as head of Defense 612 00:33:14,880 --> 00:33:18,120 Speaker 5: at Palenteer Technologies. I think one of the lessons that 613 00:33:18,160 --> 00:33:21,959 Speaker 5: anybody paying attention to what's going on over in Ukraine 614 00:33:22,000 --> 00:33:26,120 Speaker 5: with Russia, and especially if they're looking ahead at the 615 00:33:26,120 --> 00:33:28,520 Speaker 5: possibility at some point in the future of some kind 616 00:33:28,560 --> 00:33:32,320 Speaker 5: of hot conflict with China, is technology is going. 617 00:33:32,160 --> 00:33:33,640 Speaker 4: To be absolutely critical. 618 00:33:33,840 --> 00:33:36,880 Speaker 5: We're looking at drones, We're looking at a future of 619 00:33:36,920 --> 00:33:41,440 Speaker 5: telecommunications and high speed computing making decisions on the battlefield. 620 00:33:41,840 --> 00:33:43,920 Speaker 5: That is truly the stuff of sci fi from not 621 00:33:43,960 --> 00:33:47,400 Speaker 5: long ago, and it's it's becoming reality now every day. 622 00:33:47,920 --> 00:33:50,640 Speaker 5: But with that said, I know Palenteers involved in the 623 00:33:50,760 --> 00:33:53,040 Speaker 5: high tech edge of things with defense. 624 00:33:53,600 --> 00:33:54,440 Speaker 4: It wasn't long. 625 00:33:54,280 --> 00:33:59,640 Speaker 5: Ago where Google was upset there was like an uprising 626 00:33:59,680 --> 00:34:03,320 Speaker 5: at good Google over the prospect of doing anything that 627 00:34:03,400 --> 00:34:06,720 Speaker 5: helped the United States Pentagon, right, like as if Silicon 628 00:34:06,840 --> 00:34:10,000 Speaker 5: Valley was its own little thief toom that did not 629 00:34:10,040 --> 00:34:11,920 Speaker 5: actually become or was not actually a part of the 630 00:34:12,000 --> 00:34:15,280 Speaker 5: United States. Do you feel like that is changing now? 631 00:34:15,520 --> 00:34:18,440 Speaker 5: Do you feel like there's an understanding that companies that 632 00:34:18,520 --> 00:34:22,440 Speaker 5: are US based, that employee Americans have a role in 633 00:34:22,560 --> 00:34:26,120 Speaker 5: defense and that means that they should take a patriotic 634 00:34:26,160 --> 00:34:29,080 Speaker 5: position on Yeah, we will work with the United States Pentagon. 635 00:34:30,440 --> 00:34:32,800 Speaker 7: I think it is changing. I mean Google has actually 636 00:34:32,840 --> 00:34:35,840 Speaker 7: recently changed its position. And if you remember at the time, 637 00:34:36,000 --> 00:34:38,640 Speaker 7: the reason so many of us got upset when Google 638 00:34:38,719 --> 00:34:42,759 Speaker 7: abandoned Project Maven is they were simultaneously trying to work 639 00:34:42,880 --> 00:34:46,680 Speaker 7: with China AI exactly an AI center in Beijing. It 640 00:34:46,760 --> 00:34:49,160 Speaker 7: was substantly revealed there was a project that they did abandon, 641 00:34:49,200 --> 00:34:51,920 Speaker 7: but a project they were exploring to censor Internet search 642 00:34:52,080 --> 00:34:54,600 Speaker 7: in China. So the message was, well, We're cool working 643 00:34:54,680 --> 00:34:59,040 Speaker 7: with a genocidal communist regime, but not with the American military, 644 00:34:59,040 --> 00:35:01,880 Speaker 7: because the American military occasionally has to do things like 645 00:35:02,480 --> 00:35:06,200 Speaker 7: kill Salacity Jahadis in order to keep America safe, and 646 00:35:06,280 --> 00:35:10,080 Speaker 7: so into the brief steps Talenteer, which was unapologetic in 647 00:35:10,120 --> 00:35:13,040 Speaker 7: its belief that America is the greatest country in the 648 00:35:13,120 --> 00:35:14,920 Speaker 7: history of the world, that we should have the most 649 00:35:15,000 --> 00:35:17,600 Speaker 7: lethal military in the world, and that some folks, be 650 00:35:17,719 --> 00:35:22,839 Speaker 7: they terrorists or other bad guys, need to be killed occasionally. 651 00:35:23,280 --> 00:35:24,840 Speaker 7: And I do think what we're seeing on the battlefield 652 00:35:24,840 --> 00:35:29,400 Speaker 7: in Ukraine is forcing people to re examine their previously 653 00:35:29,400 --> 00:35:32,160 Speaker 7: held assumptions. There's a lot of capital in the venture 654 00:35:32,200 --> 00:35:35,880 Speaker 7: capital community that is trying to flow into defense technology companies. 655 00:35:35,920 --> 00:35:37,319 Speaker 7: And finally, I would say not to talk to my 656 00:35:37,360 --> 00:35:39,680 Speaker 7: own book, but when you have a company like Palenter 657 00:35:39,680 --> 00:35:42,959 Speaker 7: that spent two decades trying to survive the so called 658 00:35:43,040 --> 00:35:45,840 Speaker 7: Valley of Death because it isn't easy for a defense 659 00:35:45,920 --> 00:35:49,080 Speaker 7: technology company to succeed because the Pentagon can be a 660 00:35:49,080 --> 00:35:52,680 Speaker 7: difficult customer, it proves to other companies that are trying 661 00:35:52,719 --> 00:35:55,640 Speaker 7: to do the same that it's possible to survive, it's 662 00:35:55,640 --> 00:35:59,000 Speaker 7: possible to go public, it's possible to have a mission 663 00:35:59,040 --> 00:36:02,799 Speaker 7: focused company that also is successful financially, which is why 664 00:36:02,800 --> 00:36:06,040 Speaker 7: we founded something called the First Breakfast Initiative, which is 665 00:36:06,120 --> 00:36:09,640 Speaker 7: designed to make it easier for non traditional defense technology 666 00:36:09,640 --> 00:36:12,759 Speaker 7: companies to survive and thrive because we need more. Right, 667 00:36:12,760 --> 00:36:15,920 Speaker 7: we can't just have five primes that control everything. We 668 00:36:15,960 --> 00:36:17,880 Speaker 7: need the primes to survive. They're always going to be there, 669 00:36:17,920 --> 00:36:21,239 Speaker 7: but we need a more diverse ecosystem of defense technology 670 00:36:21,280 --> 00:36:23,719 Speaker 7: companies if we are going to have a hope of 671 00:36:23,760 --> 00:36:28,080 Speaker 7: deterring China from invading Taiwan, as well as simultaneously going 672 00:36:28,120 --> 00:36:30,200 Speaker 7: after terrorist in the Middle East and the other threat actors, 673 00:36:30,200 --> 00:36:31,040 Speaker 7: we have to deal with. 674 00:36:31,719 --> 00:36:34,000 Speaker 1: What you just said I think is important and also 675 00:36:34,120 --> 00:36:37,600 Speaker 1: to me connects with your editorial in the Wall Street Journal, 676 00:36:37,640 --> 00:36:40,520 Speaker 1: which is about the importance of truth and the commitment 677 00:36:40,600 --> 00:36:44,279 Speaker 1: to fact. When you see so much of what's going 678 00:36:44,280 --> 00:36:47,359 Speaker 1: on in America today and around the world, whether it's 679 00:36:47,400 --> 00:36:51,680 Speaker 1: celebrating the United Healthcare CEOs killer, whether it is down 680 00:36:51,719 --> 00:36:56,239 Speaker 1: in Frisco, Texas, Carmelo Anthony stabs a seventeen year old 681 00:36:56,239 --> 00:36:59,480 Speaker 1: in the heart and raises four hundred thousand dollars. As 682 00:36:59,480 --> 00:37:03,120 Speaker 1: you just mentioned, so many of these elite institutions out 683 00:37:03,200 --> 00:37:07,359 Speaker 1: there had people marching in favor of the perpetrators of 684 00:37:07,360 --> 00:37:11,000 Speaker 1: October seventh. Why are we having such a difference. This 685 00:37:11,040 --> 00:37:13,839 Speaker 1: is a big philosophical question, But why do you think 686 00:37:13,880 --> 00:37:18,040 Speaker 1: we're having such a challenge, especially going into the Holy 687 00:37:18,120 --> 00:37:21,920 Speaker 1: week of good and evil recognizing them and being willing 688 00:37:22,000 --> 00:37:23,600 Speaker 1: to stand on the side of good. 689 00:37:24,920 --> 00:37:26,920 Speaker 7: Well, I do think, you know, to really take it, 690 00:37:27,040 --> 00:37:31,680 Speaker 7: make it biblical, and maybe betray my Catholic perspective. I 691 00:37:31,719 --> 00:37:35,640 Speaker 7: do think as religion has retreated in terms of its 692 00:37:35,760 --> 00:37:39,400 Speaker 7: role in American life, people have sought out other gods, 693 00:37:39,640 --> 00:37:42,960 Speaker 7: and in some ways, politics or you know, a political 694 00:37:43,080 --> 00:37:46,680 Speaker 7: tribe can become a cult and still kind of a 695 00:37:46,680 --> 00:37:51,560 Speaker 7: God shaped whole in people's hearts. And I think correspondingly, 696 00:37:51,560 --> 00:37:54,240 Speaker 7: there's also this epistemological crisis that we have in America 697 00:37:54,280 --> 00:37:58,600 Speaker 7: where people no longer trust any source of information. Right Like, 698 00:37:58,640 --> 00:38:02,560 Speaker 7: we have this very bald organized media landscape where nobody 699 00:38:02,600 --> 00:38:05,200 Speaker 7: really knows where to go to get truth. And the 700 00:38:05,280 --> 00:38:07,759 Speaker 7: risk of that is people can kind of opt in 701 00:38:07,760 --> 00:38:10,440 Speaker 7: to whatever reality they just want to live in, and 702 00:38:10,480 --> 00:38:14,640 Speaker 7: it's very hard to have a coherent conversation based on facts, 703 00:38:15,040 --> 00:38:17,560 Speaker 7: based on logic. As a result that being said, you know, 704 00:38:17,600 --> 00:38:20,600 Speaker 7: as a product of representing northeast Wisconsin, where we're going 705 00:38:20,680 --> 00:38:22,799 Speaker 7: to host the NFL drafts here shortly by the way 706 00:38:22,880 --> 00:38:24,080 Speaker 7: everybody I'll watching. 707 00:38:24,360 --> 00:38:27,120 Speaker 4: I'm very excited. 708 00:38:28,239 --> 00:38:31,319 Speaker 7: It's a huge, huge thing for Green Bay, Wisconsin, a 709 00:38:31,480 --> 00:38:35,160 Speaker 7: huge thing, you know. I think most people are just 710 00:38:35,280 --> 00:38:38,280 Speaker 7: common sense, right there was this revolution of common sense 711 00:38:38,760 --> 00:38:42,040 Speaker 7: that President Trump talked about. I mean, people were afraid 712 00:38:42,080 --> 00:38:45,080 Speaker 7: initially to speak their minds, you know, particularly in COVID. 713 00:38:45,440 --> 00:38:47,279 Speaker 7: But people started to see what was happening to our 714 00:38:47,360 --> 00:38:50,440 Speaker 7: kids with schools being shut down, was happened to our 715 00:38:50,480 --> 00:38:52,719 Speaker 7: loved ones who were being locked up, and they thought, 716 00:38:52,760 --> 00:38:54,960 Speaker 7: this doesn't make any sense. So I do have this 717 00:38:55,000 --> 00:38:57,800 Speaker 7: abiding faith in the common sense of the American people 718 00:38:57,880 --> 00:39:01,360 Speaker 7: right now. They're demanding change and reform in the basic 719 00:39:01,480 --> 00:39:04,560 Speaker 7: institutions of government. I think Trump is an instrument for 720 00:39:04,680 --> 00:39:07,560 Speaker 7: that change. It can be very disruptive at times, that's 721 00:39:07,600 --> 00:39:10,120 Speaker 7: what the American people want. So we have to get 722 00:39:10,160 --> 00:39:11,919 Speaker 7: back to that. And at the end of the day, 723 00:39:12,000 --> 00:39:14,520 Speaker 7: like we have to realize, of course, America is not perfect, 724 00:39:14,800 --> 00:39:16,920 Speaker 7: but we're the good guys, right We are the greatest 725 00:39:16,920 --> 00:39:19,680 Speaker 7: country in human history. That comes with a great responsibility. 726 00:39:20,280 --> 00:39:22,080 Speaker 7: But the rest of the world is looking to us 727 00:39:22,400 --> 00:39:25,160 Speaker 7: for leadership to leave with courage. If you remember when 728 00:39:25,239 --> 00:39:28,000 Speaker 7: China took over Hong Kong and hundreds of thousands of 729 00:39:28,000 --> 00:39:30,839 Speaker 7: people came out into the streets to protest. What were 730 00:39:30,840 --> 00:39:34,200 Speaker 7: they waving? They were waving American flags, right. They were 731 00:39:34,239 --> 00:39:37,600 Speaker 7: looking to us as an example for a free society, 732 00:39:37,600 --> 00:39:39,400 Speaker 7: and that's something we all have a duty to maintain. 733 00:39:40,120 --> 00:39:43,239 Speaker 1: Well said, have a good Holy Week and weekend, and 734 00:39:43,360 --> 00:39:45,480 Speaker 1: we'll talk to you again, hopefully soon. Encourage people to 735 00:39:45,480 --> 00:39:47,560 Speaker 1: go check out that editorial in the Wall Street Journal. 736 00:39:48,680 --> 00:39:49,120 Speaker 7: Thanks Jav