1 00:00:00,120 --> 00:00:03,360 Speaker 1: Welcome to today's edition of The Clay Travis and buck 2 00:00:03,400 --> 00:00:08,119 Speaker 1: Sexton Show podcast. Welcome back, hour number three, Tuesday edition, 3 00:00:08,240 --> 00:00:11,639 Speaker 1: Clay Travis buck Sexton Show. Appreciate all of you hanging 4 00:00:11,720 --> 00:00:15,920 Speaker 1: out with us. First guest of the week joins us now. 5 00:00:16,040 --> 00:00:20,959 Speaker 1: He is Dave McCormick, candidate for the Pennsylvania Senate as 6 00:00:21,120 --> 00:00:24,040 Speaker 1: a Republican. He just came back from Israel. We're going 7 00:00:24,120 --> 00:00:26,560 Speaker 1: to dive into a lot of different topics with him 8 00:00:27,040 --> 00:00:30,040 Speaker 1: as it pertains to this Senate race that will be 9 00:00:30,080 --> 00:00:34,000 Speaker 1: taking place over the course of twenty twenty four in Pennsylvania. 10 00:00:34,520 --> 00:00:36,360 Speaker 1: But Dave, we appreciate you coming on with us. You've 11 00:00:36,360 --> 00:00:39,440 Speaker 1: got an incredibly illustrious background. Let me make sure that 12 00:00:39,479 --> 00:00:41,879 Speaker 1: I hit this for everybody out there that is just 13 00:00:42,120 --> 00:00:45,720 Speaker 1: learning about who you are and what your background is. 14 00:00:46,360 --> 00:00:51,080 Speaker 1: You're combat veteran, former CEO of Bridgewater Associates. You had 15 00:00:51,120 --> 00:00:53,200 Speaker 1: a Wall Street Journal op ed which we've been talking 16 00:00:53,240 --> 00:00:57,240 Speaker 1: about Joe Biden and Bob Casey fail the Israel test. 17 00:00:57,720 --> 00:01:02,960 Speaker 1: I want to start with this though, Pennsylvania Democrats have 18 00:01:03,120 --> 00:01:06,959 Speaker 1: done an incredible job of getting their vote out of 19 00:01:07,040 --> 00:01:10,760 Speaker 1: harvesting every possible voter out there. A stat that I 20 00:01:10,920 --> 00:01:15,640 Speaker 1: read was that fifty percent of John Fetterman's votes were 21 00:01:15,720 --> 00:01:20,000 Speaker 1: banked before they even had a debate and people could 22 00:01:20,000 --> 00:01:23,680 Speaker 1: see what his mental state actually was when he ran 23 00:01:23,720 --> 00:01:28,920 Speaker 1: against doctor Oz. Are you optimistic that Republicans have reverse 24 00:01:29,120 --> 00:01:33,639 Speaker 1: engineered what Democrats are doing? And as we come forward 25 00:01:33,680 --> 00:01:37,120 Speaker 1: in twenty twenty four with your Senate race with whomever 26 00:01:37,160 --> 00:01:40,880 Speaker 1: the nominee is going to be, Obviously, Pennsylvania is massive 27 00:01:40,920 --> 00:01:44,400 Speaker 1: when it comes to who wins the presidency. Have Republicans 28 00:01:44,440 --> 00:01:47,200 Speaker 1: caught up? If not? What needs to be done to 29 00:01:47,400 --> 00:01:50,160 Speaker 1: catch up with the Democrat vote machine? 30 00:01:50,400 --> 00:01:54,840 Speaker 2: Yeah, thanks for having me, guys listen. It's the thing 31 00:01:54,920 --> 00:01:57,800 Speaker 2: that's in my mind these days, and I think there's 32 00:01:57,840 --> 00:01:59,600 Speaker 2: good progress, but a lot of work to do. There's 33 00:01:59,640 --> 00:02:02,200 Speaker 2: three things we need to do. Number One, we've got 34 00:02:02,240 --> 00:02:06,000 Speaker 2: to get the vote out, the normal vote out in 35 00:02:06,040 --> 00:02:09,079 Speaker 2: the presidential year, our voters come out in a much 36 00:02:09,120 --> 00:02:13,600 Speaker 2: bigger way than they do in inter years, and so 37 00:02:13,720 --> 00:02:16,000 Speaker 2: that's number one. Two, we've got to fix the mail 38 00:02:16,040 --> 00:02:20,120 Speaker 2: in ballot problems. And there's a huge effort across Pennsylvania. 39 00:02:20,520 --> 00:02:22,760 Speaker 2: All different parts of the Republican Party and donors have 40 00:02:22,800 --> 00:02:25,920 Speaker 2: come together. It can be multimillion dollars, and we've got 41 00:02:25,919 --> 00:02:29,400 Speaker 2: to chase low propensity voters. We've got to get them 42 00:02:29,400 --> 00:02:32,200 Speaker 2: registered for absentee ballots. We got to chase to make 43 00:02:32,200 --> 00:02:34,440 Speaker 2: sure they do that. We got to then get the 44 00:02:34,440 --> 00:02:37,680 Speaker 2: absentee ballots submitted, and that's a huge problem. We're not 45 00:02:37,720 --> 00:02:40,799 Speaker 2: going to overcome the Democrats, but we have to close 46 00:02:40,880 --> 00:02:43,480 Speaker 2: that gap in a significant way. And the third thing 47 00:02:43,480 --> 00:02:46,320 Speaker 2: we have to is change the culture where people embrace 48 00:02:46,400 --> 00:02:49,000 Speaker 2: the idea of mail in ballots, which has been a 49 00:02:49,000 --> 00:02:51,640 Speaker 2: problem in the past. I think President Trump had been 50 00:02:51,720 --> 00:02:53,960 Speaker 2: very opposed to that earlier. I think he started to 51 00:02:54,200 --> 00:02:56,639 Speaker 2: talk about that in a very different way. People need 52 00:02:56,680 --> 00:03:00,200 Speaker 2: to embrace absentee balloting as a way to make sure 53 00:03:00,240 --> 00:03:01,800 Speaker 2: those are the current rules, and we need to we 54 00:03:01,840 --> 00:03:04,440 Speaker 2: need to win with those rules. And if we do that, 55 00:03:05,120 --> 00:03:07,440 Speaker 2: we're gonna We're gonna win this election. And it's not 56 00:03:07,600 --> 00:03:11,000 Speaker 2: just for Dave McCormick's campaign, it's for everybody up and 57 00:03:11,040 --> 00:03:15,560 Speaker 2: down the ticket, including the presidential nominee. The president. Our 58 00:03:15,600 --> 00:03:18,840 Speaker 2: nominees likely not going to win the presidency unless he 59 00:03:18,960 --> 00:03:22,079 Speaker 2: or she wins Pennsylvania. So that's the plan. We got 60 00:03:22,080 --> 00:03:23,359 Speaker 2: a lot of work to do but I think there's 61 00:03:23,360 --> 00:03:24,600 Speaker 2: a lot of people focused on it. 62 00:03:25,320 --> 00:03:28,360 Speaker 3: Hey, David's Buck, thanks for being with us here. I 63 00:03:28,440 --> 00:03:31,720 Speaker 3: know that you made a trip to Israel. You have 64 00:03:31,760 --> 00:03:34,720 Speaker 3: your walls regoinal op ed. Yesterday Joe Biden, Bob Casey 65 00:03:34,760 --> 00:03:38,120 Speaker 3: failed the Israel test. First, just tell us what did 66 00:03:38,160 --> 00:03:40,840 Speaker 3: you see? I mean, bring us into this experience. I'm 67 00:03:40,880 --> 00:03:45,720 Speaker 3: sure parts of it were really emotionally difficult to be 68 00:03:45,840 --> 00:03:48,240 Speaker 3: near what had happened on October seventh. 69 00:03:49,400 --> 00:03:53,000 Speaker 2: It was really unbelievable. My wife and I decided really 70 00:03:53,000 --> 00:03:55,560 Speaker 2: over the holidays and we wanted to go. I've been 71 00:03:55,560 --> 00:03:58,920 Speaker 2: a strong advocate of solidarity with Israel, but we wanted 72 00:03:58,960 --> 00:04:01,960 Speaker 2: to see it on the ground. She knew a number 73 00:04:01,960 --> 00:04:05,680 Speaker 2: of people there. She had been involved in negotiated Abraham 74 00:04:05,680 --> 00:04:09,520 Speaker 2: Accords as part of President Trump's administration, so we were 75 00:04:09,520 --> 00:04:12,440 Speaker 2: able to set up very quickly, and it was unbelievable. 76 00:04:12,480 --> 00:04:16,280 Speaker 2: We went to Copper Azah, which was one of the 77 00:04:16,400 --> 00:04:19,760 Speaker 2: kibbutsk communities where one hundred people were massacred on two 78 00:04:19,880 --> 00:04:23,640 Speaker 2: for seven. You walked through those streets, the bullet the 79 00:04:23,680 --> 00:04:27,960 Speaker 2: bullet holes in the doors, the fragments from a grenade, 80 00:04:28,160 --> 00:04:31,920 Speaker 2: the blood. I mean, you just can't imagine these houses 81 00:04:31,920 --> 00:04:37,080 Speaker 2: burned down, people burned alive. It was an absolute barbaric tragedy. 82 00:04:38,320 --> 00:04:41,360 Speaker 2: We then met with a young woman who was at 83 00:04:41,400 --> 00:04:43,640 Speaker 2: the music festival who was shot in the knee. She 84 00:04:43,800 --> 00:04:46,960 Speaker 2: was in a bombshelter and all of her friends around 85 00:04:47,000 --> 00:04:50,320 Speaker 2: her were killed. She was underneath the dead bodies and 86 00:04:50,400 --> 00:04:54,560 Speaker 2: because of that, the terrorists thought she was dead and 87 00:04:54,600 --> 00:04:58,360 Speaker 2: that saved her and she was rescued hours later. We 88 00:04:58,400 --> 00:05:02,840 Speaker 2: talked to the parents of hostages and you know, imagine 89 00:05:02,880 --> 00:05:07,280 Speaker 2: that it's in more than ninety days, not knowing if 90 00:05:07,320 --> 00:05:11,440 Speaker 2: your son or daughter, mother or sister is going to 91 00:05:11,480 --> 00:05:14,120 Speaker 2: come back, and knowing that they're being held by tortures 92 00:05:14,760 --> 00:05:19,279 Speaker 2: in Gozen tunnels or Godsen prisons. And then the final 93 00:05:19,279 --> 00:05:21,120 Speaker 2: thing we saw, which is the thing I'll not be 94 00:05:21,160 --> 00:05:25,560 Speaker 2: able to unremember, was this forty seven minute video which 95 00:05:25,600 --> 00:05:27,920 Speaker 2: I talked about in the IF ed. It was taken. 96 00:05:28,000 --> 00:05:31,080 Speaker 2: It was created by the Israeli military, taken from the 97 00:05:31,120 --> 00:05:34,080 Speaker 2: body cams of the terrorists that were killed, and you 98 00:05:34,240 --> 00:05:39,160 Speaker 2: see the barbarism, the decapitation, the killing babies. It's just 99 00:05:39,720 --> 00:05:43,080 Speaker 2: it's unbelievable. You think it's a horror movie, but then 100 00:05:43,120 --> 00:05:45,880 Speaker 2: you know it's not. And so my takeaway from this 101 00:05:46,120 --> 00:05:49,200 Speaker 2: is we're you know, Israel is combat and pure evil. 102 00:05:50,320 --> 00:05:52,640 Speaker 2: This is not a group you can negotiate, which you 103 00:05:52,680 --> 00:05:56,160 Speaker 2: can't live side by side. This Hamas needs to be eradicated. 104 00:05:57,120 --> 00:06:00,840 Speaker 2: My second takeaway though, is that the original sin is Iran, 105 00:06:02,160 --> 00:06:05,800 Speaker 2: the deal that Obama did with Iran. Biden's continued that 106 00:06:05,880 --> 00:06:11,200 Speaker 2: Bob Casey was the decisive vote and has supported all along. 107 00:06:11,760 --> 00:06:13,960 Speaker 2: This was the original sin which put one hundred billion 108 00:06:14,000 --> 00:06:16,640 Speaker 2: dollars in the hands of Iran, which it's used to 109 00:06:17,160 --> 00:06:24,920 Speaker 2: finance all these terrorist proxies Hesbla, Hamas, Islamiki Denner now Houtis, 110 00:06:24,960 --> 00:06:29,640 Speaker 2: which are now shooting at American sailors in the Red Sea, 111 00:06:30,160 --> 00:06:33,960 Speaker 2: trying to kill Americans in Iraq and Syria. So we've 112 00:06:33,960 --> 00:06:36,359 Speaker 2: got to strangle Iran. We've got to stand strong with 113 00:06:36,560 --> 00:06:39,920 Speaker 2: Israel and in its fight against evil, because it's not 114 00:06:40,000 --> 00:06:42,200 Speaker 2: just a fight on behalf of Israel's to fight on 115 00:06:42,279 --> 00:06:44,960 Speaker 2: behalf of all of all the West, of all freedom 116 00:06:45,000 --> 00:06:45,559 Speaker 2: loving people. 117 00:06:46,240 --> 00:06:49,600 Speaker 1: We're talking to, Dave McCormick, you're running against Bob Casey. 118 00:06:50,480 --> 00:06:54,920 Speaker 1: Bob Casey seems to have gone super left wing after 119 00:06:55,000 --> 00:06:59,599 Speaker 1: pretending to be a moderate. But interestingly John Fetterman, who 120 00:06:59,600 --> 00:07:03,480 Speaker 1: everybody he thought was crazy left wing zealot, it has 121 00:07:03,560 --> 00:07:06,320 Speaker 1: actually been one hundred percent right. I bet even you 122 00:07:06,360 --> 00:07:08,840 Speaker 1: would say, and I bet you're stunned by it because 123 00:07:08,839 --> 00:07:10,600 Speaker 1: you ran against the guy. I know you were running 124 00:07:10,600 --> 00:07:13,040 Speaker 1: in the Republican primary race, but you were planning on 125 00:07:13,080 --> 00:07:15,720 Speaker 1: anything up running against him. Have you been stunned that 126 00:07:15,760 --> 00:07:19,320 Speaker 1: Fetterman's been so right on Israel and that Bob Casey's 127 00:07:19,360 --> 00:07:22,280 Speaker 1: been so wrong? I mean, I Buck and I have 128 00:07:22,320 --> 00:07:24,360 Speaker 1: talked about on the show. I never thought I was 129 00:07:24,400 --> 00:07:25,920 Speaker 1: going to come out and say, you know, Feederman's one 130 00:07:26,000 --> 00:07:27,440 Speaker 1: hundred percent right, he's making a lot. 131 00:07:27,360 --> 00:07:31,520 Speaker 3: Of sense here, high fives all over the place, lady 132 00:07:32,120 --> 00:07:32,560 Speaker 3: going on. 133 00:07:32,960 --> 00:07:35,520 Speaker 1: But even you, I bet too, after coming back from Israel, 134 00:07:35,640 --> 00:07:37,720 Speaker 1: are like, hey, you know, Feedterman's nailing this. 135 00:07:39,360 --> 00:07:42,560 Speaker 2: I'd say two things. I've been shocked by the timidity, 136 00:07:43,240 --> 00:07:46,520 Speaker 2: by the lack of leadership of a three term incumbent 137 00:07:46,560 --> 00:07:48,880 Speaker 2: center And Bob Casey not only is he not speaking 138 00:07:48,880 --> 00:07:52,600 Speaker 2: out forcefully with moral clarity and leadership, he's not speaking 139 00:07:52,640 --> 00:07:54,960 Speaker 2: out at all. He's just got his head hunkered down. 140 00:07:55,800 --> 00:07:58,560 Speaker 2: On the other hand, Fetterman, listen I probably, I guess 141 00:07:58,640 --> 00:08:01,800 Speaker 2: is I disagree with Fetterman about eighty percent of things. 142 00:08:02,000 --> 00:08:05,120 Speaker 2: But on three things he's been I think great. And 143 00:08:05,200 --> 00:08:07,360 Speaker 2: his positions are ones that I've been talking about forever, 144 00:08:07,400 --> 00:08:09,920 Speaker 2: and I really admire his courage and saying the number one, 145 00:08:10,040 --> 00:08:12,200 Speaker 2: we've got to support Israel. He's been a strong voice. 146 00:08:12,760 --> 00:08:15,600 Speaker 2: Number Two he's called out the border and one a 147 00:08:15,720 --> 00:08:18,160 Speaker 2: crisis on the border and it needs to be handled. 148 00:08:18,520 --> 00:08:23,520 Speaker 2: And three he's called for firing Senator Menendez. So in 149 00:08:23,560 --> 00:08:25,680 Speaker 2: all three cases, I think he's on the right side 150 00:08:25,680 --> 00:08:29,040 Speaker 2: of things, and I appreciate the fact that he's speaking out, 151 00:08:29,160 --> 00:08:32,040 Speaker 2: and I think the time, I think that's the contrast 152 00:08:32,040 --> 00:08:34,439 Speaker 2: that I want to talk about, because we need a 153 00:08:34,520 --> 00:08:36,800 Speaker 2: leader in the Senate on behalf of Pennsylvania, and Bob 154 00:08:36,840 --> 00:08:37,920 Speaker 2: Casey's not that guy. 155 00:08:39,280 --> 00:08:43,600 Speaker 1: You pen obviously failed in their House and Senate hearings. 156 00:08:43,640 --> 00:08:47,880 Speaker 1: You're running in Pennsylvania. University of Pennsylvania obviously right there. 157 00:08:48,200 --> 00:08:51,360 Speaker 1: You come from the business universe. You were very, very 158 00:08:51,360 --> 00:08:55,440 Speaker 1: successful with Bridgewater, building up so many different businesses. I'll 159 00:08:55,440 --> 00:08:58,520 Speaker 1: bet you know Bill Ackman somewhat at least, who has 160 00:08:58,559 --> 00:09:01,000 Speaker 1: been leading the charge on a lot of these issues. 161 00:09:01,559 --> 00:09:03,720 Speaker 1: How much have you seen based on the people that 162 00:09:03,760 --> 00:09:06,240 Speaker 1: you worked with in your past. A lot of people 163 00:09:06,360 --> 00:09:10,720 Speaker 1: suddenly look up and realize, Wow, we've lost control of 164 00:09:10,840 --> 00:09:15,320 Speaker 1: good and evil instruction at our universities. And how disappointed 165 00:09:15,320 --> 00:09:19,040 Speaker 1: have you been by the University of Pennsylvania's response to 166 00:09:19,640 --> 00:09:21,480 Speaker 1: the terror attack of October seventh? 167 00:09:22,440 --> 00:09:24,439 Speaker 2: Yeah, I think you know. I was one of the 168 00:09:24,800 --> 00:09:27,640 Speaker 2: first people to say that Liz McGill should be fired. 169 00:09:27,720 --> 00:09:30,520 Speaker 2: And the reason, and this was before the hearings, and 170 00:09:30,600 --> 00:09:32,800 Speaker 2: the reason was it just seems so obvious to me 171 00:09:32,840 --> 00:09:37,280 Speaker 2: when you have Jewish students hiding in their rooms, when 172 00:09:37,280 --> 00:09:43,240 Speaker 2: you're not enforcing the law against looters and people that 173 00:09:43,320 --> 00:09:47,160 Speaker 2: were marching on the campus and really calling for genocide, 174 00:09:47,520 --> 00:09:52,560 Speaker 2: that you've lost your position as a leader. And the 175 00:09:52,640 --> 00:09:55,040 Speaker 2: hearings of all three of those presidents made that more clear. 176 00:09:55,559 --> 00:09:57,160 Speaker 2: And it was a test, and a lot of people 177 00:09:57,200 --> 00:09:59,839 Speaker 2: have failed that test. I think those presidents have failed 178 00:09:59,840 --> 00:10:02,400 Speaker 2: that tests. I think Bob Casey scale that test. Many 179 00:10:02,400 --> 00:10:04,880 Speaker 2: people have failed that test. And part of the reason 180 00:10:05,679 --> 00:10:09,320 Speaker 2: is that the progressive left ideology has defined the world 181 00:10:09,920 --> 00:10:14,680 Speaker 2: in terms of oppressed and oppressors, and so when you 182 00:10:14,840 --> 00:10:16,800 Speaker 2: define the world that way, it takes you down some 183 00:10:16,840 --> 00:10:19,840 Speaker 2: pretty irrational pag like you decide you want to take 184 00:10:19,880 --> 00:10:24,360 Speaker 2: down the statue of William Penn in Welcome Park in Philadelphia, 185 00:10:24,520 --> 00:10:29,959 Speaker 2: or you say things like those three presidents said, where 186 00:10:29,520 --> 00:10:33,240 Speaker 2: the lack of moral clarity and inability to distinguish between 187 00:10:33,320 --> 00:10:37,199 Speaker 2: right and wrong, the inability to enforce standards of behavior 188 00:10:37,240 --> 00:10:41,240 Speaker 2: on campuses that protect Jewish students. They've clearly lost the narrative. 189 00:10:41,240 --> 00:10:44,280 Speaker 2: They've lost the ability to lead in a way that 190 00:10:44,360 --> 00:10:47,800 Speaker 2: makes sense. And you see huge numbers in the donor community, 191 00:10:47,800 --> 00:10:49,600 Speaker 2: people that have given a lot of money these universities 192 00:10:49,600 --> 00:10:51,960 Speaker 2: saying I want nothing to do with that. And I 193 00:10:52,000 --> 00:10:55,760 Speaker 2: also see Democrats, frankly on the campaign trough, many many 194 00:10:56,480 --> 00:10:59,920 Speaker 2: Jewish Democrats who are saying, listen, that's not my party. 195 00:11:00,440 --> 00:11:03,640 Speaker 2: I don't want to be part of that group of 196 00:11:03,679 --> 00:11:06,839 Speaker 2: people that are looting the streets of Philadelphia, that are 197 00:11:06,880 --> 00:11:10,720 Speaker 2: marching on campus saying things about genocide. If my party 198 00:11:10,880 --> 00:11:14,400 Speaker 2: wants to support that, like Summerly and others, that's not 199 00:11:14,440 --> 00:11:16,079 Speaker 2: a party. I would have recorded it. And so I think 200 00:11:16,440 --> 00:11:20,240 Speaker 2: there's an opportunity here to really set up a high 201 00:11:20,280 --> 00:11:23,840 Speaker 2: standard of moral clarity and leadership and also be able 202 00:11:23,880 --> 00:11:26,800 Speaker 2: to build a coalition of people who want to fight 203 00:11:27,000 --> 00:11:31,479 Speaker 2: for an America based on values of merit and America's 204 00:11:31,480 --> 00:11:34,160 Speaker 2: exceptionalism in the world, and an actorate portrayal of history. 205 00:11:35,480 --> 00:11:38,360 Speaker 3: David McCormick, everybody, David, before we let you go. Where 206 00:11:38,520 --> 00:11:40,080 Speaker 3: is your Senate website? 207 00:11:41,559 --> 00:11:45,120 Speaker 2: You can find me at Dave mccormickpa dot com. And 208 00:11:45,800 --> 00:11:49,160 Speaker 2: you know, I've been building great support over the last quarter. 209 00:11:49,559 --> 00:11:52,800 Speaker 2: I really appreciate your listeners engaging and going to the website. 210 00:11:52,800 --> 00:11:55,120 Speaker 2: And I'm realiant. Thank you guysh for the opportunity to 211 00:11:55,120 --> 00:11:55,720 Speaker 2: be on the show. 212 00:11:56,080 --> 00:11:57,720 Speaker 1: Thanks so much for being with us. Appreciated. 213 00:11:58,679 --> 00:12:03,640 Speaker 3: So look, I gotta admit sometimes when Clay is right 214 00:12:03,679 --> 00:12:07,040 Speaker 3: about something and or has knowledge to share, I got 215 00:12:07,679 --> 00:12:10,520 Speaker 3: here and I have to just listen, like occasionally. And 216 00:12:10,559 --> 00:12:14,280 Speaker 3: when it comes to sports gambling, I'm a guy who 217 00:12:14,320 --> 00:12:17,000 Speaker 3: doesn't know anything. 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I 236 00:13:02,920 --> 00:13:05,520 Speaker 3: actually was involved with this for the first time yesterday 237 00:13:05,520 --> 00:13:06,280 Speaker 3: Prize Picks. 238 00:13:06,559 --> 00:13:10,200 Speaker 1: I bet on Michigan Washington. You went and you put 239 00:13:10,240 --> 00:13:13,240 Speaker 1: in your picks and the individual players right you were 240 00:13:13,240 --> 00:13:14,080 Speaker 1: looking all this up. 241 00:13:14,600 --> 00:13:15,440 Speaker 4: It was it was amazing. 242 00:13:15,480 --> 00:13:17,480 Speaker 3: I'm sitting here and I it was great because Clay 243 00:13:17,480 --> 00:13:18,920 Speaker 3: talked me through it, and I'm like, I'm going to 244 00:13:18,920 --> 00:13:20,720 Speaker 3: go with that guy that you say is going to 245 00:13:20,760 --> 00:13:22,800 Speaker 3: do very well, but I'm learning because I go, look, 246 00:13:22,800 --> 00:13:25,600 Speaker 3: it's fun, it's a fun process. 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Slash 258 00:14:00,640 --> 00:14:02,280 Speaker 3: Buck used promo code buck. 259 00:14:03,400 --> 00:14:07,679 Speaker 1: From the front lines of Truth, Clay Travis and Buck Sexton. 260 00:14:08,240 --> 00:14:10,120 Speaker 4: You know, sometimes. 261 00:14:10,960 --> 00:14:14,520 Speaker 3: I put aside the political differences and I just feel 262 00:14:14,520 --> 00:14:16,559 Speaker 3: a little bit of sympathy for some of these people 263 00:14:16,559 --> 00:14:20,640 Speaker 3: who are stepping into the arena and having built a 264 00:14:21,840 --> 00:14:27,400 Speaker 3: media career that has involved some very you know, in 265 00:14:27,440 --> 00:14:30,880 Speaker 3: the early days, some events where not a whole lot 266 00:14:30,880 --> 00:14:32,960 Speaker 3: of people show it up and you just got to 267 00:14:33,000 --> 00:14:36,200 Speaker 3: do what you do and be a professional. I have 268 00:14:36,280 --> 00:14:39,760 Speaker 3: a little bit of sympathy for the Democrat out of 269 00:14:39,800 --> 00:14:43,520 Speaker 3: Minnesota who everyone has forgotten about, but who is running 270 00:14:43,520 --> 00:14:46,520 Speaker 3: in the Democrat primary, Dean Phillips. 271 00:14:46,760 --> 00:14:48,880 Speaker 1: Do you remember this, Clay, Remember we had yea our 272 00:14:48,920 --> 00:14:50,960 Speaker 1: good buddy Dean. I keep think I keep calling him 273 00:14:51,000 --> 00:14:53,640 Speaker 1: Ryan Filippe, but the Dean Phillips. Yep, that's right. 274 00:14:54,080 --> 00:15:01,120 Speaker 5: Dean had a had a Tuesday coffee out event today 275 00:15:01,160 --> 00:15:05,360 Speaker 5: in New Hampshire so he could speak to Democrat primary 276 00:15:05,520 --> 00:15:10,200 Speaker 5: voters about how he's challenging Joe Biden, and not a 277 00:15:10,240 --> 00:15:11,640 Speaker 5: single person showed up. 278 00:15:12,160 --> 00:15:13,640 Speaker 4: He had an empty event. 279 00:15:13,680 --> 00:15:16,240 Speaker 3: Now I know, you know, people will poke fun and 280 00:15:16,320 --> 00:15:18,120 Speaker 3: it's hard not to sort of chuckle a little bit 281 00:15:18,160 --> 00:15:18,520 Speaker 3: about it. 282 00:15:18,600 --> 00:15:23,080 Speaker 4: But also, man, that's rough, you know, Oh man? He said, 283 00:15:23,160 --> 00:15:25,560 Speaker 4: sometimes if you build it, they don't come. 284 00:15:26,000 --> 00:15:29,760 Speaker 3: Being Phillips told reporters outside the nitch outside of the 285 00:15:29,800 --> 00:15:33,720 Speaker 3: Manchester Double Tree Hotel this morning, after not a single 286 00:15:33,840 --> 00:15:38,360 Speaker 3: voter showed up to his government repair truck coffee conversation 287 00:15:38,960 --> 00:15:40,600 Speaker 3: in twenty two degree weather. 288 00:15:42,640 --> 00:15:44,280 Speaker 4: I gotta give him credit out there. 289 00:15:44,560 --> 00:15:47,040 Speaker 1: Sometimes when did he say sometimes you build it and 290 00:15:47,080 --> 00:15:49,720 Speaker 1: know when they don't do that's that's really a very 291 00:15:49,760 --> 00:15:56,920 Speaker 1: funny line. The media showed up and no actual voters 292 00:15:57,000 --> 00:16:00,440 Speaker 1: showed up. I look, I talked about this when my 293 00:16:00,520 --> 00:16:03,200 Speaker 1: last book came out. I've done a book signing where 294 00:16:03,240 --> 00:16:07,000 Speaker 1: no one showed up. There is nothing worse than and 295 00:16:07,040 --> 00:16:10,360 Speaker 1: I'm sure running for president is similar. Putting your heart 296 00:16:10,400 --> 00:16:13,360 Speaker 1: and soul into something and having no one be there. 297 00:16:13,840 --> 00:16:17,360 Speaker 1: So I actually feel bad for the guy. I mean, 298 00:16:19,480 --> 00:16:23,320 Speaker 1: New Hampshire is a very politically engaged state. For no 299 00:16:23,320 --> 00:16:25,720 Speaker 1: one in the whole state to be willing to come 300 00:16:25,760 --> 00:16:28,920 Speaker 1: to your event, maybe this actually will be good advertising 301 00:16:28,960 --> 00:16:30,600 Speaker 1: for him in the same way. You know, every now 302 00:16:30,600 --> 00:16:33,520 Speaker 1: and then, nobody showing up for a book signing helps 303 00:16:33,560 --> 00:16:37,640 Speaker 1: an author because it goes viral sympathy, you know, and 304 00:16:37,720 --> 00:16:40,120 Speaker 1: people just say, you know what, I actually feel bad 305 00:16:40,160 --> 00:16:41,840 Speaker 1: for this guy or this gal who was sitting at 306 00:16:41,840 --> 00:16:43,880 Speaker 1: a table and nobody would come by and sign. 307 00:16:44,000 --> 00:16:47,240 Speaker 3: Can I say this, actually, what's better? Would we have 308 00:16:47,400 --> 00:16:51,160 Speaker 3: talked about Dean Phillips if ten people had shown to 309 00:16:51,280 --> 00:16:56,800 Speaker 3: his government repair zero coffee conversation? No, But because zero 310 00:16:56,920 --> 00:16:59,800 Speaker 3: people showed up and it was a big womp womp. 311 00:17:00,160 --> 00:17:01,880 Speaker 3: Now we all sit here. We kind of chuckle, but 312 00:17:01,920 --> 00:17:04,240 Speaker 3: we also sort of feel for the guy. We are 313 00:17:04,280 --> 00:17:06,960 Speaker 3: talking about him on a radio show with five hundred 314 00:17:07,040 --> 00:17:11,240 Speaker 3: radio stations across the country right now, reminding people that. 315 00:17:11,560 --> 00:17:15,560 Speaker 4: Dean Phillips is actually running for president. So look at 316 00:17:15,600 --> 00:17:19,280 Speaker 4: that it might be. Is this Dean Phillips empty stadium 317 00:17:19,359 --> 00:17:20,720 Speaker 4: for d chess Clay. 318 00:17:21,440 --> 00:17:24,520 Speaker 1: This is his big moment. This is Dean Phillips' campaign 319 00:17:25,160 --> 00:17:28,640 Speaker 1: making an absolutely huge statement by having no one who 320 00:17:28,680 --> 00:17:33,320 Speaker 1: actually supports them. And it also what I would just 321 00:17:33,400 --> 00:17:40,200 Speaker 1: point out further elucidates how much of a rigged job 322 00:17:40,320 --> 00:17:44,600 Speaker 1: the DNC creates. Nobody of any kind of standing at 323 00:17:44,640 --> 00:17:48,800 Speaker 1: all stepped forward to challenge Joe Biden, despite the fact 324 00:17:48,800 --> 00:17:53,960 Speaker 1: that he is the lowest incumbent president approval rated office 325 00:17:53,960 --> 00:17:56,720 Speaker 1: holder of our life. Well hope somebody shows up for 326 00:17:56,760 --> 00:17:59,040 Speaker 1: that coffee next time. This is a big election the 327 00:17:59,080 --> 00:18:01,280 Speaker 1: year especially get out hold it is up there. That'd 328 00:18:01,320 --> 00:18:03,800 Speaker 1: be real big election year. You can start voting with 329 00:18:03,840 --> 00:18:06,760 Speaker 1: your wallet by supporting companies made up of fellow patriots 330 00:18:06,760 --> 00:18:09,280 Speaker 1: like my Pillow. 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Click on 340 00:18:37,320 --> 00:18:40,399 Speaker 1: the radio listener Special Square. Use our names Clay and 341 00:18:40,440 --> 00:18:43,399 Speaker 1: Buck for these deals. You'll get a sixty day money 342 00:18:43,400 --> 00:18:46,720 Speaker 1: back guarantee, ten year warranty two. Use the code Clay 343 00:18:46,760 --> 00:18:50,000 Speaker 1: and Buck. Welcome back in Clay, Travis, Buck Sexton Show. 344 00:18:50,119 --> 00:18:53,760 Speaker 1: Appreciate all of you hanging out with us. Buck. Have 345 00:18:53,920 --> 00:18:59,760 Speaker 1: you followed the drama surrounding Jimmy Kimmel and Aaron Rodgers, 346 00:19:00,119 --> 00:19:04,399 Speaker 1: this sort of ongoing feud that has developed between the 347 00:19:04,440 --> 00:19:06,440 Speaker 1: two of them. Have you paid attention to this at all? 348 00:19:07,080 --> 00:19:08,960 Speaker 3: I am aware of it because I read the news 349 00:19:09,000 --> 00:19:11,240 Speaker 3: obsessively all day long and even before I go to 350 00:19:11,280 --> 00:19:13,720 Speaker 3: sleep at night, and I should probably create more downtime 351 00:19:13,760 --> 00:19:15,560 Speaker 3: from it, but I will just say that in general, 352 00:19:15,680 --> 00:19:18,399 Speaker 3: anything with Jimmy Kimmel's name, I feel the way about 353 00:19:18,440 --> 00:19:20,959 Speaker 3: him that I do about the Royal family in Britain. 354 00:19:21,000 --> 00:19:24,440 Speaker 3: At this point where I just wanted excize from my brain. 355 00:19:24,720 --> 00:19:27,720 Speaker 3: I don't care. He's not funny, he's not nice, but 356 00:19:27,840 --> 00:19:28,679 Speaker 3: yes I am aware. 357 00:19:29,320 --> 00:19:33,280 Speaker 1: Okay. So Aaron Rodgers went on for people out there 358 00:19:33,280 --> 00:19:36,680 Speaker 1: who don't know, went on ESPN and this turned into 359 00:19:36,760 --> 00:19:39,880 Speaker 1: a big story Pat McAfee's show and said that the 360 00:19:39,880 --> 00:19:43,080 Speaker 1: Epstein client list was supposedly going to come out. This 361 00:19:43,119 --> 00:19:45,760 Speaker 1: is what he said last week. And there were people 362 00:19:45,800 --> 00:19:49,439 Speaker 1: like Jimmy Kimmel that were nervous about that. And Jimmy 363 00:19:49,480 --> 00:19:52,199 Speaker 1: Kimble said, well, you're calling me a pedophile, and he 364 00:19:52,320 --> 00:19:55,640 Speaker 1: threatened to sue him. Jimmy Kimble's name not on any 365 00:19:55,720 --> 00:19:58,480 Speaker 1: of the list, by the way, that was a rumor 366 00:19:58,560 --> 00:20:04,080 Speaker 1: that he was on there. But Jimmy Kimmel started his 367 00:20:05,440 --> 00:20:07,919 Speaker 1: show last night. I guess he returned from the holidays 368 00:20:07,960 --> 00:20:12,800 Speaker 1: on Monday, and his whole monologue was going after Aaron Rodgers. 369 00:20:12,840 --> 00:20:16,639 Speaker 1: And here is a bit of that. Listen, this is 370 00:20:16,640 --> 00:20:17,480 Speaker 1: how these nuts to do it. 371 00:20:17,520 --> 00:20:19,600 Speaker 6: Now, you don't like Trump, you're a pedophile. It's their 372 00:20:19,640 --> 00:20:21,439 Speaker 6: go to move and it shows you how much they 373 00:20:21,480 --> 00:20:24,680 Speaker 6: actually care about pedophilia. I've spent years doing sports. I've 374 00:20:24,720 --> 00:20:27,360 Speaker 6: seen guys like him before. Aaron Rodgers has a very 375 00:20:27,440 --> 00:20:30,399 Speaker 6: high opinion of himself. The idea that his brain is 376 00:20:30,520 --> 00:20:34,479 Speaker 6: just average is unfathomable to him. We learned during COVID 377 00:20:34,560 --> 00:20:37,520 Speaker 6: somehow he knows more about science than scientists. A guy 378 00:20:37,520 --> 00:20:40,200 Speaker 6: who went to community college then got into CAL on 379 00:20:40,240 --> 00:20:43,120 Speaker 6: a football scholarship and didn't graduate. Someone who never spent 380 00:20:43,200 --> 00:20:45,960 Speaker 6: a minute studying the human body is an expert in 381 00:20:46,000 --> 00:20:48,639 Speaker 6: the field of immunology. Aaron got two a's on his 382 00:20:48,760 --> 00:20:51,119 Speaker 6: report card. They were both in the word eric okay 383 00:20:52,080 --> 00:20:52,680 Speaker 6: and can. 384 00:20:52,520 --> 00:20:57,520 Speaker 1: You imagine that this can okay? So it continues ripping 385 00:20:57,600 --> 00:21:00,800 Speaker 1: Aaron Rodgers seven and a half minutes. So a couple 386 00:21:00,800 --> 00:21:04,480 Speaker 1: of things that immediately come to mind. This is buck 387 00:21:04,480 --> 00:21:06,880 Speaker 1: we were talking earlier. This is why we don't get 388 00:21:06,920 --> 00:21:11,000 Speaker 1: a reckoning on COVID, because people like Aaron Rodgers, who 389 00:21:11,040 --> 00:21:14,520 Speaker 1: admittedly are not doctors, people like you and me, who 390 00:21:14,560 --> 00:21:17,400 Speaker 1: admittedly do not have mds. Although I do think this 391 00:21:17,480 --> 00:21:21,879 Speaker 1: is important and worth saying, Aaron Rodgers is a pretty 392 00:21:21,880 --> 00:21:26,000 Speaker 1: smart guy. He could have gotten a I believe this 393 00:21:26,160 --> 00:21:28,959 Speaker 1: my opinion. I think Aaron Rodgers could have gone and 394 00:21:29,000 --> 00:21:31,399 Speaker 1: become a doctor if he had wanted to. But do 395 00:21:31,480 --> 00:21:35,240 Speaker 1: you feel confident that if you had decided I want 396 00:21:35,280 --> 00:21:37,840 Speaker 1: to meaning you, I want to be a doctor, that 397 00:21:37,920 --> 00:21:40,679 Speaker 1: you could have gone and gotten an MD if you 398 00:21:40,720 --> 00:21:44,000 Speaker 1: had decided to do so? What you or I could 399 00:21:44,000 --> 00:21:47,040 Speaker 1: have been doctors? Yeah? You. I feel like I would 400 00:21:47,080 --> 00:21:50,040 Speaker 1: bet every dollar that I have that you or I 401 00:21:50,080 --> 00:21:52,960 Speaker 1: could have been doctors if we wanted to. In other words, there. 402 00:21:52,880 --> 00:21:54,679 Speaker 3: Are a lot of doctors right now are probably shaking 403 00:21:54,720 --> 00:21:56,320 Speaker 3: their heads, but yeah, we probably could. 404 00:21:56,200 --> 00:21:58,800 Speaker 1: Have been I would I would bet every dollar that 405 00:21:58,840 --> 00:22:00,119 Speaker 1: I have that I could have gone to me at 406 00:22:00,119 --> 00:22:02,639 Speaker 1: school somewhere. I could have become an MD of some 407 00:22:02,800 --> 00:22:05,440 Speaker 1: former fashion. I have zero doubt about that. My point 408 00:22:05,480 --> 00:22:08,760 Speaker 1: on this is there are lots of super intelligent and 409 00:22:08,760 --> 00:22:10,080 Speaker 1: the other thing I want to say on this is 410 00:22:10,880 --> 00:22:13,440 Speaker 1: Jimmy Kimmel went after Aaron Rodgers for going to community 411 00:22:13,480 --> 00:22:17,760 Speaker 1: college and then going to cal to play football. There 412 00:22:17,800 --> 00:22:22,560 Speaker 1: are lots of super smart people who are not doctors. 413 00:22:23,240 --> 00:22:25,639 Speaker 1: And there are lots of super smart people listening to 414 00:22:25,720 --> 00:22:29,200 Speaker 1: us right now that may well have gone to community college, 415 00:22:29,280 --> 00:22:32,320 Speaker 1: and hey, there's a lot of people who don't have 416 00:22:32,480 --> 00:22:36,560 Speaker 1: the opportunity to go to community college at all. My 417 00:22:36,720 --> 00:22:40,399 Speaker 1: grandfather who I was named after, Clay Travis, he dropped 418 00:22:40,400 --> 00:22:43,960 Speaker 1: out of school in eighth grade. He went to work 419 00:22:44,359 --> 00:22:49,399 Speaker 1: starting in ninth grade in coal mines in Kentucky. Super 420 00:22:49,440 --> 00:22:53,440 Speaker 1: smart guy. He didn't have the opportunity even to go 421 00:22:53,480 --> 00:22:57,320 Speaker 1: to community college. So I think a big part of 422 00:22:57,359 --> 00:23:00,000 Speaker 1: this story, and this is important for everybody out there, 423 00:23:00,119 --> 00:23:04,600 Speaker 1: think about a big part of COVID that they can't 424 00:23:04,640 --> 00:23:10,119 Speaker 1: accept on the left is too many people who aren't 425 00:23:10,320 --> 00:23:14,880 Speaker 1: their version of smart looked at all the data and 426 00:23:15,000 --> 00:23:19,879 Speaker 1: they were right. The people overwhelmingly out there who said, 427 00:23:20,040 --> 00:23:22,960 Speaker 1: I don't need the COVID shot, I have natural immunity, 428 00:23:23,040 --> 00:23:25,960 Speaker 1: I've done my own research. I'm better protected than I 429 00:23:26,040 --> 00:23:29,120 Speaker 1: will be if I get seven or eight or nine shots, 430 00:23:29,160 --> 00:23:32,720 Speaker 1: like a lot of these lunatics Howard Stern esque have done. 431 00:23:32,920 --> 00:23:37,919 Speaker 1: They can't comprehend buck that people like Aaron Rodgers, that 432 00:23:38,000 --> 00:23:40,760 Speaker 1: people like you and me, that people all over this 433 00:23:40,920 --> 00:23:45,800 Speaker 1: country listening to us right now did all their research 434 00:23:46,200 --> 00:23:51,160 Speaker 1: and they were right, and absolutely is what this represents. 435 00:23:51,440 --> 00:23:51,639 Speaker 2: You know. 436 00:23:51,720 --> 00:23:55,440 Speaker 3: I had even some private exchanges in the early days 437 00:23:55,480 --> 00:24:04,080 Speaker 3: of COVID with one, for example, very successful Silicon Valley 438 00:24:04,440 --> 00:24:07,800 Speaker 3: sort of bigger named person online who just was fascinated 439 00:24:07,840 --> 00:24:11,159 Speaker 3: by my like legitumly wanted to know why did I 440 00:24:11,240 --> 00:24:12,720 Speaker 3: Why did I not believe that masks work? 441 00:24:12,760 --> 00:24:12,840 Speaker 2: Like? 442 00:24:12,880 --> 00:24:14,960 Speaker 3: How could I be so silly? And this was, you know, 443 00:24:15,040 --> 00:24:17,639 Speaker 3: June of twenty twenty or something. No one ever comes 444 00:24:17,640 --> 00:24:19,480 Speaker 3: back and says, Wow, you're so smart. How did you 445 00:24:19,520 --> 00:24:19,840 Speaker 3: know that? 446 00:24:19,920 --> 00:24:21,080 Speaker 4: You know what? It was so interesting? 447 00:24:21,200 --> 00:24:24,240 Speaker 3: No one ever has has come back after all these exchanges, 448 00:24:24,240 --> 00:24:25,760 Speaker 3: and I still have the records of some of this 449 00:24:26,600 --> 00:24:28,439 Speaker 3: and to say, you know what, what you did was 450 00:24:28,440 --> 00:24:31,080 Speaker 3: really amazing and I wish I had listened to you more. 451 00:24:32,040 --> 00:24:34,480 Speaker 3: But in terms of the you know, the Jimmy Kimmel 452 00:24:34,520 --> 00:24:38,679 Speaker 3: Aaron Rodgers thing, Yeah, I don't know. Jimmy Kimmel's just 453 00:24:38,800 --> 00:24:42,120 Speaker 3: kind of a loathsome figure, so I try to avoid 454 00:24:43,240 --> 00:24:46,000 Speaker 3: spending much mental energy on him. But that he would 455 00:24:46,000 --> 00:24:48,639 Speaker 3: spend seven minutes of airtime what is it NBC or 456 00:24:48,720 --> 00:24:49,639 Speaker 3: what's this ABC? 457 00:24:49,840 --> 00:24:49,919 Speaker 4: This? 458 00:24:50,000 --> 00:24:51,720 Speaker 1: This is why it's a big deal because he. 459 00:24:51,720 --> 00:24:54,520 Speaker 3: Went on and he went on this is like the 460 00:24:54,600 --> 00:24:57,240 Speaker 3: Johnny Carson Show, right is basically or is that the difference. 461 00:24:57,280 --> 00:24:58,960 Speaker 1: I never know with which one of these things. I 462 00:24:59,040 --> 00:25:02,440 Speaker 1: know Johnny Carson Show is, I don't know which. Now 463 00:25:02,680 --> 00:25:03,639 Speaker 1: Colbert is that? 464 00:25:03,720 --> 00:25:03,920 Speaker 4: Right? 465 00:25:05,119 --> 00:25:08,920 Speaker 1: Who is on NBC? Now Colbert is on CBS. They're 466 00:25:08,920 --> 00:25:11,960 Speaker 1: trying to tell me and tell me again. Jimmy Fallon. 467 00:25:11,960 --> 00:25:14,080 Speaker 1: I forgot. It's not a good sign for Jimmy Fallon 468 00:25:14,080 --> 00:25:17,240 Speaker 1: that I couldn't even remember who. So Jimmy Fallon now seats. 469 00:25:16,960 --> 00:25:20,840 Speaker 1: It sits in what would have been the Johnny Carson 470 00:25:20,880 --> 00:25:23,119 Speaker 1: seed and the Jay Leno seed for people out there 471 00:25:23,160 --> 00:25:24,080 Speaker 1: who've been keeping tabs. 472 00:25:24,240 --> 00:25:26,600 Speaker 3: So what's the Kimmel seed? 473 00:25:26,640 --> 00:25:28,920 Speaker 1: Who was that? I think they did it again. I'm 474 00:25:28,920 --> 00:25:31,120 Speaker 1: not an expert on late night television. I believe they 475 00:25:31,160 --> 00:25:34,720 Speaker 1: had Nightline on ABC for a long time. They never 476 00:25:34,800 --> 00:25:37,359 Speaker 1: had a late night host, and then they hired Jimmy 477 00:25:37,400 --> 00:25:39,240 Speaker 1: Kimmel like twenty some odd years ago. And I will 478 00:25:39,240 --> 00:25:42,400 Speaker 1: say this, I know Jimmy Kimmel because I worked with 479 00:25:42,480 --> 00:25:44,920 Speaker 1: his cousin, Sal who's a really good friend of mine. 480 00:25:45,240 --> 00:25:48,760 Speaker 1: I like Jimmy Kimmel personally. I like Adam Carolla personally. 481 00:25:48,800 --> 00:25:51,080 Speaker 1: I've gotten to know those guys. They have very divergent 482 00:25:51,119 --> 00:25:57,600 Speaker 1: political opinions. But I think that the idea that you 483 00:25:58,400 --> 00:26:04,600 Speaker 1: should completely acquiesce to what so called experts say in 484 00:26:04,680 --> 00:26:07,879 Speaker 1: all facets. I just think COVID has proven that's wrong, 485 00:26:08,320 --> 00:26:12,040 Speaker 1: and that a lot of experts are out there and 486 00:26:12,200 --> 00:26:17,000 Speaker 1: they aren't actually that expertise. Laden I just throw. 487 00:26:16,840 --> 00:26:17,320 Speaker 4: This out there. 488 00:26:17,400 --> 00:26:19,960 Speaker 3: And I've never met Jimmy Kimmel, and you know, I'm 489 00:26:20,040 --> 00:26:22,919 Speaker 3: not famous. He has no idea who I am. But 490 00:26:24,200 --> 00:26:29,359 Speaker 3: I think at some point your professional life starts to 491 00:26:29,400 --> 00:26:31,720 Speaker 3: color what your character really is. And I think that's 492 00:26:31,760 --> 00:26:33,920 Speaker 3: a fair thing that you know, when when you're going 493 00:26:33,960 --> 00:26:37,600 Speaker 3: on TV at a time of you know, going back 494 00:26:37,640 --> 00:26:40,040 Speaker 3: to the pandemic of you know, real anxiety, real decisions 495 00:26:40,080 --> 00:26:43,359 Speaker 3: being made, and adding to the mockery and ridicule that 496 00:26:43,400 --> 00:26:46,760 Speaker 3: people that had concerns about the vaccines. I think that's 497 00:26:46,760 --> 00:26:49,200 Speaker 3: a moral question that he failed. I don't I don't 498 00:26:49,200 --> 00:26:51,080 Speaker 3: just think that he was somebody who was trying to 499 00:26:51,080 --> 00:26:53,200 Speaker 3: do ha ha. And I like his jokes or I 500 00:26:53,240 --> 00:26:55,240 Speaker 3: don't like his jokes. So I understand you have a 501 00:26:55,280 --> 00:26:58,240 Speaker 3: personal relationship with him. I know him personally. Get I 502 00:26:58,280 --> 00:27:00,760 Speaker 3: think he was wrong on COVID. I didn't people. I 503 00:27:00,760 --> 00:27:02,960 Speaker 3: think it's worse than being wrong on COVID. I think 504 00:27:02,960 --> 00:27:05,600 Speaker 3: he was sneering at people who lost their jobs. I 505 00:27:05,600 --> 00:27:08,480 Speaker 3: think he was sneering at people in the military who 506 00:27:08,560 --> 00:27:11,040 Speaker 3: lost their careers because they wouldn't get the shot, and 507 00:27:11,080 --> 00:27:13,240 Speaker 3: he did it while getting millions and millions of dollars. 508 00:27:13,240 --> 00:27:15,360 Speaker 3: So I'll tell you I'd have a hard time being 509 00:27:15,440 --> 00:27:18,040 Speaker 3: nice to the guy because I think that there are 510 00:27:18,040 --> 00:27:20,320 Speaker 3: people that cross over. And I appreciate you disclosing I 511 00:27:20,320 --> 00:27:22,800 Speaker 3: didn't even know you guys knew each other, but I 512 00:27:22,840 --> 00:27:25,160 Speaker 3: think I think some people cross the line with this stuff. 513 00:27:25,200 --> 00:27:27,120 Speaker 3: And he's never has he ever said like, I'm really 514 00:27:27,119 --> 00:27:29,399 Speaker 3: sorry I was wrong. I shouldn't have said all of it. 515 00:27:29,960 --> 00:27:31,800 Speaker 3: No one who was wrong on that has said it. 516 00:27:31,800 --> 00:27:33,199 Speaker 3: And by the way, the reason I say that I 517 00:27:33,240 --> 00:27:35,440 Speaker 3: know him is I just want everybody. I try to 518 00:27:35,480 --> 00:27:38,480 Speaker 3: be as honest as I can be with the audience 519 00:27:38,520 --> 00:27:39,000 Speaker 3: out there. 520 00:27:39,040 --> 00:27:42,960 Speaker 1: So I know Jimmy Kimmel personally. I like him personally. 521 00:27:43,560 --> 00:27:46,560 Speaker 1: I think he was hundred percent wrong on COVID, and 522 00:27:46,760 --> 00:27:49,760 Speaker 1: I think he and many other people, But you know 523 00:27:49,840 --> 00:27:50,080 Speaker 1: what I. 524 00:27:50,040 --> 00:27:52,320 Speaker 3: Mean, I don't know Fauci like he went to my 525 00:27:52,480 --> 00:27:54,520 Speaker 3: high school, which I gay around about, but I don't 526 00:27:54,600 --> 00:27:57,520 Speaker 3: know Fauci, But like, I think what Fauci did, it's 527 00:27:57,560 --> 00:27:59,240 Speaker 3: not that we disagree. I think that he hurt a 528 00:27:59,240 --> 00:28:02,280 Speaker 3: lot of people. I under I heard hurt people. And 529 00:28:02,280 --> 00:28:06,040 Speaker 3: that's why it goes beyond just like well, you know, okay, 530 00:28:06,080 --> 00:28:08,359 Speaker 3: somebody wanted this tax rate, I want that tax rate, 531 00:28:08,440 --> 00:28:12,160 Speaker 3: or somebody wants you know, I get it, like yeah. 532 00:28:12,560 --> 00:28:14,800 Speaker 1: And by the way, this is why a lot of 533 00:28:14,880 --> 00:28:18,320 Speaker 1: families like take it outside of any sort of situation 534 00:28:18,440 --> 00:28:21,119 Speaker 1: like this. That's why there's still a lot of tension 535 00:28:21,160 --> 00:28:24,639 Speaker 1: in families because there's a lot of you out there 536 00:28:24,920 --> 00:28:28,480 Speaker 1: that over the holidays, you went to hang out with 537 00:28:28,600 --> 00:28:32,760 Speaker 1: family members who wouldn't hang out with you for a 538 00:28:32,760 --> 00:28:34,679 Speaker 1: couple of years because you weren't willing to get the 539 00:28:34,720 --> 00:28:38,600 Speaker 1: COVID shot and because you weren't willing to take a 540 00:28:38,680 --> 00:28:41,960 Speaker 1: COVID test or wear a mask. And this is why 541 00:28:42,000 --> 00:28:43,920 Speaker 1: I feel like there has to be a reckoning on 542 00:28:43,920 --> 00:28:46,680 Speaker 1: some level, because what seems to happen now by and 543 00:28:46,800 --> 00:28:50,440 Speaker 1: large is a lot of people just want to say, oh, 544 00:28:50,480 --> 00:28:53,880 Speaker 1: that never happened, like let's just pave it over. It's 545 00:28:53,920 --> 00:28:58,280 Speaker 1: like a relationship that got broken and it was never rectified. 546 00:28:58,320 --> 00:29:00,520 Speaker 1: You never went back and tried to fix it. You're 547 00:29:00,560 --> 00:29:03,000 Speaker 1: just like, Okay, well that was ten miles ago down 548 00:29:03,040 --> 00:29:05,800 Speaker 1: on the road. Let's just keep driving forward. And by 549 00:29:05,800 --> 00:29:08,720 Speaker 1: the way, the bridge collapsed behind here. It's hard to 550 00:29:08,880 --> 00:29:10,680 Speaker 1: repair those relationships. I think. 551 00:29:10,920 --> 00:29:13,040 Speaker 3: I just there were there were people, you know, there 552 00:29:13,080 --> 00:29:18,840 Speaker 3: were nurses, there were marines, there were cops, there were firefighters, 553 00:29:18,880 --> 00:29:21,400 Speaker 3: you know, go down the list who probably turned on 554 00:29:21,480 --> 00:29:25,000 Speaker 3: their TV to get a little relief at night and 555 00:29:25,080 --> 00:29:28,560 Speaker 3: watch some comedy. And they had you know, one hundred 556 00:29:28,600 --> 00:29:32,360 Speaker 3: million dollar man Jimmy Kimmel sneering at their stupidity for 557 00:29:32,480 --> 00:29:35,240 Speaker 3: not being willing to get the vaccine and making a 558 00:29:35,320 --> 00:29:38,080 Speaker 3: mockery of them and making it okay for the public 559 00:29:38,120 --> 00:29:40,880 Speaker 3: to look down on them. I don't know that that's 560 00:29:41,160 --> 00:29:42,960 Speaker 3: you know what I'm saying. I don't know that that's okay. 561 00:29:42,960 --> 00:29:44,920 Speaker 1: We got a study we wrote about this at OutKick 562 00:29:45,200 --> 00:29:50,080 Speaker 1: eighty one of all political all humor on late night 563 00:29:50,120 --> 00:29:56,479 Speaker 1: talk shows is that Republicans, Yeah, you know what I mean. 564 00:29:56,520 --> 00:29:58,480 Speaker 3: Like usually comedians it's like, you know, take it or 565 00:29:58,560 --> 00:30:00,760 Speaker 3: leath sides some but some of them you know, you 566 00:30:00,800 --> 00:30:02,480 Speaker 3: like him, you don't like him, you think they're funny whatever. 567 00:30:02,560 --> 00:30:04,760 Speaker 3: But with some of these comedians. Man, they just became 568 00:30:04,840 --> 00:30:07,800 Speaker 3: full blown propagandists. And I think it's a I think 569 00:30:07,840 --> 00:30:11,040 Speaker 3: it's a moral question. I don't think it's just a contil. 570 00:30:10,640 --> 00:30:14,640 Speaker 1: I think flavored Stephen Colbert had success and all of 571 00:30:14,680 --> 00:30:17,040 Speaker 1: them followed him off the ledge. Yeah. 572 00:30:17,280 --> 00:30:21,360 Speaker 3: No, he started it and then they all you know, 573 00:30:21,720 --> 00:30:24,320 Speaker 3: not Fallon didn't really do it though, you know you 574 00:30:24,360 --> 00:30:27,840 Speaker 3: mentioned Fallen before Fallen. I've never seen Fallon. Look, I 575 00:30:27,880 --> 00:30:29,800 Speaker 3: don't watch these shows, but I see clips of it. 576 00:30:30,160 --> 00:30:34,960 Speaker 3: I never saw Fallon say something that was just vicious 577 00:30:35,120 --> 00:30:37,560 Speaker 3: about the those who didn't want to get vaccinated for example. 578 00:30:37,560 --> 00:30:37,960 Speaker 4: You do know what I mean. 579 00:30:38,040 --> 00:30:41,960 Speaker 1: I could be wrong. It's Jimmy Fallon got ripped recently 580 00:30:42,040 --> 00:30:44,720 Speaker 1: for being an awful human being to everybody that he 581 00:30:44,760 --> 00:30:45,200 Speaker 1: worked with. 582 00:30:46,680 --> 00:30:48,680 Speaker 4: Remember that, and so I didn't see that. 583 00:30:49,280 --> 00:30:50,920 Speaker 1: No, I mean there was a huge he had to 584 00:30:50,960 --> 00:30:54,200 Speaker 1: publicly apologize because they were like kids were on his kids. 585 00:30:54,240 --> 00:30:57,880 Speaker 1: I mean, people on his staff were contemplating suicide because 586 00:30:57,880 --> 00:31:00,360 Speaker 1: he was such an awful people worries. 587 00:31:00,680 --> 00:31:02,600 Speaker 3: Okay, see I don't I don't follow this stuff. 588 00:31:04,480 --> 00:31:07,560 Speaker 1: Maybe the maybe the lesson in general is don't make 589 00:31:07,560 --> 00:31:10,240 Speaker 1: people in the public eye your idol because you might 590 00:31:10,360 --> 00:31:13,280 Speaker 1: like one side and and you know, on the flip side, 591 00:31:13,320 --> 00:31:17,160 Speaker 1: they're they're kind of awful, you know, human beings, even 592 00:31:17,200 --> 00:31:20,000 Speaker 1: if you the big the big picture thing is and 593 00:31:20,040 --> 00:31:23,440 Speaker 1: I would love for this to happen. And I I 594 00:31:23,520 --> 00:31:25,640 Speaker 1: understand that some of you may think I'm a dinosaur. 595 00:31:26,560 --> 00:31:29,360 Speaker 1: I liked when David. You don't like David Letterman. I 596 00:31:29,400 --> 00:31:32,360 Speaker 1: really like David Letterman. But David Letterman and Jay Leno 597 00:31:32,400 --> 00:31:35,680 Speaker 1: and Johnny Carson, the goal of their show was to 598 00:31:36,040 --> 00:31:41,480 Speaker 1: apportion ridicule evenly seemed to me maybe comedy. 599 00:31:41,600 --> 00:31:46,120 Speaker 3: The goal was comedy, Yes, just I didn't think he 600 00:31:46,160 --> 00:31:48,560 Speaker 3: was funny, It's not that's yeah. 601 00:31:48,560 --> 00:31:51,080 Speaker 4: I love letter I was I like Leno growing up. 602 00:31:51,080 --> 00:31:51,880 Speaker 1: I'm one of those guys. 603 00:31:51,880 --> 00:31:52,720 Speaker 4: So I'm just telling you that. 604 00:31:53,040 --> 00:31:55,840 Speaker 1: Litto had better ratings. But I loved The Late Show 605 00:31:55,880 --> 00:31:58,280 Speaker 1: with David Letterman. Late Night with David Letterman. I would 606 00:31:58,280 --> 00:32:00,000 Speaker 1: stay up and watch that in summers when I was 607 00:32:00,080 --> 00:32:03,040 Speaker 1: a kid. Loved that show. But they made fun of everybody. 608 00:32:03,320 --> 00:32:05,840 Speaker 1: Rudy Juliani was on the Late Show all the time, 609 00:32:05,880 --> 00:32:07,479 Speaker 1: and he got along with Letterman. 610 00:32:07,560 --> 00:32:10,240 Speaker 3: Really well, yeah, well, let's take some calls to close 611 00:32:10,320 --> 00:32:11,880 Speaker 3: us out. Here eight hundred two two two eight to 612 00:32:11,960 --> 00:32:12,800 Speaker 3: two will come back in. 613 00:32:12,800 --> 00:32:13,200 Speaker 1: Just a sec. 614 00:32:15,800 --> 00:32:18,840 Speaker 3: Oh, we can also talk about something very important here 615 00:32:19,000 --> 00:32:20,920 Speaker 3: the men and women working at the Preborn Network of 616 00:32:20,920 --> 00:32:24,200 Speaker 3: Clinics nationwide. They really deserve recognition for their tireless work, 617 00:32:24,480 --> 00:32:26,960 Speaker 3: not to mention the compassion and care they offer every day. 618 00:32:27,360 --> 00:32:29,800 Speaker 3: They welcome pregnant mothers making a decision on the future 619 00:32:29,840 --> 00:32:32,840 Speaker 3: of their unborn child, contemplating life or an abortion. Their 620 00:32:32,840 --> 00:32:35,640 Speaker 3: goal is to provide care and unconditional support as they 621 00:32:35,680 --> 00:32:39,320 Speaker 3: consider life. So often that includes an ultrasound experience as well. 622 00:32:39,440 --> 00:32:41,960 Speaker 3: Provides each mother to be with a chance to meet 623 00:32:42,000 --> 00:32:44,200 Speaker 3: their baby, to hear their heartbeat for the first time, 624 00:32:44,480 --> 00:32:47,280 Speaker 3: and to witness the little movements that come within their bodies. 625 00:32:47,600 --> 00:32:51,240 Speaker 3: So often that experience alone results in a decision for life. 626 00:32:51,520 --> 00:32:54,440 Speaker 3: Last year, because of your generosity in supporting the Preborn 627 00:32:54,480 --> 00:32:57,840 Speaker 3: Network of Clinics, they saw over fifty eight thousand are saved, 628 00:32:57,920 --> 00:33:01,480 Speaker 3: rather over fifty eight thousand babies lives. Thank you to 629 00:33:01,640 --> 00:33:04,040 Speaker 3: all those who made this possible with a donation of 630 00:33:04,040 --> 00:33:07,320 Speaker 3: whatever size you could afford. One of those pregnant mothers 631 00:33:07,360 --> 00:33:09,080 Speaker 3: was Charlotte. She found out she was pregnant when she 632 00:33:09,120 --> 00:33:10,960 Speaker 3: was seven weeks along. In the back of her mind, 633 00:33:11,000 --> 00:33:13,880 Speaker 3: she thought maybe abortion was the best option, but after 634 00:33:13,920 --> 00:33:18,200 Speaker 3: hearing her baby's heartbeat and a preborn clinic, she chose life. 635 00:33:18,320 --> 00:33:21,720 Speaker 3: To donate dial pound two five zero say the keyword baby. 636 00:33:22,040 --> 00:33:25,440 Speaker 3: That's pound two five zero, say baby, or donate securely 637 00:33:25,480 --> 00:33:29,160 Speaker 3: at preborn dot com, slash buck that's preborn dot com, 638 00:33:29,160 --> 00:33:32,800 Speaker 3: slash b u c K sponsored by Preborn. 639 00:33:33,440 --> 00:33:36,840 Speaker 1: Learn, laugh, and join us on the weekend on our 640 00:33:37,000 --> 00:33:40,200 Speaker 1: Sunday Hang with Clay and Buck podcast, Fight it on 641 00:33:40,280 --> 00:33:43,040 Speaker 1: the iHeart app or wherever you get your podcasts. 642 00:33:43,080 --> 00:33:46,360 Speaker 3: All right, welcome back into Clay and Buck. You know, 643 00:33:46,400 --> 00:33:48,240 Speaker 3: I had a few people that were surprised that I 644 00:33:48,240 --> 00:33:50,400 Speaker 3: didn't like the Barbie movie because they liked the Barbie 645 00:33:50,440 --> 00:33:53,760 Speaker 3: movie play and I just I don't understand this. I 646 00:33:53,760 --> 00:33:55,520 Speaker 3: don't know how that's possible. Do you do you have 647 00:33:55,680 --> 00:33:58,160 Speaker 3: Do you have anyone that given pushback on this analysis 648 00:33:58,160 --> 00:33:58,680 Speaker 3: of barb. 649 00:33:58,760 --> 00:34:00,320 Speaker 1: I do not have a book. I have not seen 650 00:34:00,360 --> 00:34:04,320 Speaker 1: the Barbie movie. But my wife heard your discussion of 651 00:34:04,360 --> 00:34:08,000 Speaker 1: the Barbie movie you and Carrie, and said she watched 652 00:34:08,000 --> 00:34:10,239 Speaker 1: it on our flights when we went to Australia. It 653 00:34:10,320 --> 00:34:13,919 Speaker 1: was on and she said Buck was right. She said 654 00:34:13,960 --> 00:34:15,960 Speaker 1: she expected, based on the fact that it made a 655 00:34:16,000 --> 00:34:18,880 Speaker 1: billion dollars that it was going to be super smart 656 00:34:19,040 --> 00:34:22,160 Speaker 1: and super interesting, even if she disagreed with some of 657 00:34:22,160 --> 00:34:24,799 Speaker 1: the ways that it was conveyed. And she said she 658 00:34:24,920 --> 00:34:28,000 Speaker 1: watched it and it was not smart, and it wasn't 659 00:34:28,080 --> 00:34:31,440 Speaker 1: well constructed as a story, and I haven't seen it 660 00:34:31,480 --> 00:34:33,359 Speaker 1: at all, but she said, yeah, Buck was one hundred 661 00:34:33,360 --> 00:34:34,920 Speaker 1: percent right about the Barbie movie. 662 00:34:35,520 --> 00:34:38,319 Speaker 3: Laura is a very astute and brilliant woman. So this 663 00:34:38,360 --> 00:34:41,319 Speaker 3: does not your as Gladiator, which put which means that. 664 00:34:41,320 --> 00:34:44,000 Speaker 1: He says, to be fair thing, my wife, Laura says 665 00:34:44,000 --> 00:34:46,399 Speaker 1: that Gladiator is the greatest movie that's ever been made. 666 00:34:46,440 --> 00:34:48,640 Speaker 1: They're making a Gladiator too, which I'm a little bit 667 00:34:48,680 --> 00:34:53,120 Speaker 1: nervous about. I'm worried. I'm worried, but yeah, but she says, 668 00:34:53,160 --> 00:34:54,960 Speaker 1: my wife, if you asked her the best movie that 669 00:34:54,960 --> 00:34:58,200 Speaker 1: she's ever seen in her life, would say Gladiator. Also 670 00:34:58,360 --> 00:35:00,799 Speaker 1: said recently, because we were talking about Viking, she was like, 671 00:35:01,080 --> 00:35:02,880 Speaker 1: I think I would have liked much of my wife. 672 00:35:02,920 --> 00:35:05,040 Speaker 1: I think I would have liked living in the Viking 673 00:35:05,120 --> 00:35:07,359 Speaker 1: era and being a Viking wife. And I was like, 674 00:35:07,440 --> 00:35:08,399 Speaker 1: I don't know. 675 00:35:08,640 --> 00:35:11,480 Speaker 3: There was a term for the warriors shield maidens they 676 00:35:11,480 --> 00:35:12,719 Speaker 3: called them, and Laura. 677 00:35:12,520 --> 00:35:14,479 Speaker 4: Would be a badass shield and shield maid. 678 00:35:14,719 --> 00:35:16,520 Speaker 1: All right, there you go. So but she said, you're 679 00:35:16,560 --> 00:35:19,680 Speaker 1: a hundred percent right about the Barbie movie, So I 680 00:35:19,800 --> 00:35:22,359 Speaker 1: probably will never watch it. Now I've got to catch 681 00:35:22,440 --> 00:35:25,920 Speaker 1: up on john Wick. I'm halfway through the john Wick franchise. 682 00:35:26,000 --> 00:35:27,600 Speaker 3: Head, you gotta watch john Wick and then we're gonna 683 00:35:27,600 --> 00:35:29,280 Speaker 3: get you out of the range next time you're visiting 684 00:35:29,360 --> 00:35:31,040 Speaker 3: down in South Florida, will get you in on some 685 00:35:31,120 --> 00:35:33,239 Speaker 3: john Wick drills. Buddy, we gotta go. We got it 686 00:35:33,280 --> 00:35:33,920 Speaker 3: going on down here. 687 00:35:33,920 --> 00:35:36,319 Speaker 1: So when you watch a movie like john Wick, do 688 00:35:36,440 --> 00:35:40,000 Speaker 1: you think I understand obviously, like it's basically the Matrix 689 00:35:40,960 --> 00:35:45,480 Speaker 1: except in somewhat real life. Does the movements that he 690 00:35:45,719 --> 00:35:50,359 Speaker 1: has with weaponry? Does he as you watch, do you think, oh, 691 00:35:50,360 --> 00:35:53,239 Speaker 1: that's a guy who's had advanced weapons training or is 692 00:35:53,280 --> 00:35:54,640 Speaker 1: it just totally cartoonish? 693 00:35:54,800 --> 00:35:59,440 Speaker 3: One hundred percent. Keanu Reeves is very adept with weapons movements. 694 00:35:59,480 --> 00:36:02,600 Speaker 3: He trains the Taran tactle out in California. He does, 695 00:36:02,719 --> 00:36:04,719 Speaker 3: you know, two gun drills. So you watch it and 696 00:36:04,760 --> 00:36:07,080 Speaker 3: think this guy's a badass, like it's not fair. I 697 00:36:07,120 --> 00:36:09,240 Speaker 3: mean he knows, you know, he knows his way around 698 00:36:09,239 --> 00:36:11,960 Speaker 3: around firearms for sure. He's you know, he's trained to look. 699 00:36:11,960 --> 00:36:14,120 Speaker 3: It's it's muscle memory. It's like a lot of things. 700 00:36:14,120 --> 00:36:16,200 Speaker 3: It's like training for a sport or something. I mean, 701 00:36:16,239 --> 00:36:18,480 Speaker 3: you know, if you do enough and you have good training. 702 00:36:19,000 --> 00:36:21,319 Speaker 3: But you know, Keanu Reeves is he moves very I 703 00:36:21,320 --> 00:36:23,320 Speaker 3: mean I've asked friends of mine who are seals and 704 00:36:23,320 --> 00:36:25,640 Speaker 3: who are you know, former Delta guys. I'm like, when 705 00:36:25,680 --> 00:36:27,759 Speaker 3: you watch the Kiano things like, yeah, this guy really 706 00:36:27,760 --> 00:36:28,399 Speaker 3: knows what's up. 707 00:36:29,160 --> 00:36:31,120 Speaker 1: Speaking of that, maybe we have to talk about this tomorrow. 708 00:36:31,200 --> 00:36:32,640 Speaker 1: Do you know one of the places we went in 709 00:36:32,680 --> 00:36:35,840 Speaker 1: Australia since Keanu Reeves is coming up, where they filmed 710 00:36:35,880 --> 00:36:38,600 Speaker 1: the final scene of Point Break. We went to that 711 00:36:38,719 --> 00:36:40,640 Speaker 1: actual beach where body is there? 712 00:36:42,000 --> 00:36:45,120 Speaker 3: Man, I remember that scene so well. Patrick Swayze rest 713 00:36:45,120 --> 00:36:45,520 Speaker 3: in piece