1 00:00:00,560 --> 00:00:05,039 Speaker 1: Welcome in Clay Travis buck Sexton show, our number two 2 00:00:05,080 --> 00:00:09,639 Speaker 1: Friday edition of the program. We are happy to be 3 00:00:09,640 --> 00:00:11,920 Speaker 1: hanging out with you, and we've been talking about I know, 4 00:00:11,960 --> 00:00:14,840 Speaker 1: we just had an election in November. We've got a 5 00:00:14,880 --> 00:00:19,440 Speaker 1: couple of big special elections to pick congressmen in Florida's 6 00:00:19,480 --> 00:00:23,799 Speaker 1: first and sixth congressional district that are important. On Tuesday, 7 00:00:24,320 --> 00:00:27,800 Speaker 1: we also have a major judicial election in the state 8 00:00:27,840 --> 00:00:32,080 Speaker 1: of Wisconsin, probably the number one battleground. 9 00:00:31,600 --> 00:00:32,720 Speaker 2: State in all the nation. 10 00:00:32,920 --> 00:00:37,680 Speaker 1: Right now, Wisconsin decided by thirty thousand votes for President Trump. 11 00:00:38,120 --> 00:00:41,199 Speaker 1: Every single Senate seat comes down to the margins. Our 12 00:00:41,200 --> 00:00:44,680 Speaker 1: friend Derek Covedy lost by a tiny pinprick, our friend 13 00:00:44,760 --> 00:00:48,599 Speaker 1: Ron Johnson won by a small margin up there. I mean, 14 00:00:48,640 --> 00:00:52,600 Speaker 1: it is just an absolute battleground of all battlegrounds. And 15 00:00:52,640 --> 00:00:56,960 Speaker 1: we are joined now by the latest battleground race, which 16 00:00:57,080 --> 00:01:02,440 Speaker 1: is the Republican side, Judge Shimmel running for reelection, running 17 00:01:02,480 --> 00:01:06,520 Speaker 1: for elections of the Wisconsin Supreme Court. For people out there, 18 00:01:06,959 --> 00:01:12,240 Speaker 1: Judge Shimmel, who don't understand what the stakes are. All 19 00:01:12,280 --> 00:01:15,080 Speaker 1: over the country money is being spent on this race, 20 00:01:15,120 --> 00:01:18,039 Speaker 1: but certainly everybody in Wisconsin needs to get out and 21 00:01:18,080 --> 00:01:19,800 Speaker 1: vote because we know this is going to be close. 22 00:01:19,840 --> 00:01:22,520 Speaker 1: We've got a monster audience in Wisconsin. We love all 23 00:01:22,560 --> 00:01:24,880 Speaker 1: of you. We hung out with you at the RNC, 24 00:01:25,040 --> 00:01:27,720 Speaker 1: have had a fabulous time. Judge Shimmel, what do they 25 00:01:27,720 --> 00:01:30,640 Speaker 1: need to know about this race and its importance? 26 00:01:31,600 --> 00:01:33,560 Speaker 3: Well, first off, it's great to be on with you. 27 00:01:33,720 --> 00:01:37,400 Speaker 3: I am part of that major audience in Wisconsin. Every day, 28 00:01:37,240 --> 00:01:41,679 Speaker 3: my lunch break, between my morning trial calendar and afternoon 29 00:01:41,680 --> 00:01:44,520 Speaker 3: trial calendar, I've got you guys tuned in every day. 30 00:01:44,600 --> 00:01:45,520 Speaker 3: So it's great. 31 00:01:45,520 --> 00:01:46,120 Speaker 2: Thank you for that. 32 00:01:46,920 --> 00:01:49,600 Speaker 3: Yeah, what's at stake today? What's at stake in this race? 33 00:01:50,120 --> 00:01:53,760 Speaker 3: The Liberals have taken over the Wisconsin Supreme Court and 34 00:01:53,800 --> 00:01:56,360 Speaker 3: they are using it as a way to take over 35 00:01:56,360 --> 00:01:59,400 Speaker 3: the United States Congress. Right now, my opponent was on 36 00:01:59,440 --> 00:02:03,040 Speaker 3: a national zoom call with billionaire liberal donors from across 37 00:02:03,040 --> 00:02:05,640 Speaker 3: the country offering up if she gets on the court, 38 00:02:05,880 --> 00:02:10,880 Speaker 3: she will turn two Republican congressional seats into Democrat congressional seats. 39 00:02:11,240 --> 00:02:14,720 Speaker 3: And now the House Minority Leader Hakim Jeffries just earlier 40 00:02:14,720 --> 00:02:18,400 Speaker 3: this week confirmed the same thing. They're using this court 41 00:02:18,880 --> 00:02:22,880 Speaker 3: to change the district maps for congressional seats. To jerrymander 42 00:02:22,919 --> 00:02:25,400 Speaker 3: them in two seats that are better for Democrats. The 43 00:02:25,440 --> 00:02:29,000 Speaker 3: other really interesting thing is as Hakim Jeffries complained about 44 00:02:29,040 --> 00:02:32,160 Speaker 3: these maps in Wisconsin, said they were jerrymandered. The maps 45 00:02:32,160 --> 00:02:35,800 Speaker 3: in Wisconsin for our congressional seats were drawn by Democrat 46 00:02:35,880 --> 00:02:40,160 Speaker 3: Governor Tony Evers. These aren't Republican maps. But what they're learning, 47 00:02:40,240 --> 00:02:42,760 Speaker 3: what they found out is that they move the maps 48 00:02:42,760 --> 00:02:45,520 Speaker 3: to make them harder for Republicans, and those Republicans still 49 00:02:45,600 --> 00:02:50,760 Speaker 3: won because they're because Democrat ideas, the liberal ideas are 50 00:02:50,800 --> 00:02:54,520 Speaker 3: not prevailing with Wisconsin voters. We're tired of this nonsense. 51 00:02:54,880 --> 00:02:56,920 Speaker 3: Well they got that, they got it handed back to 52 00:02:56,960 --> 00:02:59,480 Speaker 3: them last November. So now they're going to work harder 53 00:02:59,480 --> 00:03:01,960 Speaker 3: to make these It's even tougher by using the court 54 00:03:02,000 --> 00:03:04,160 Speaker 3: to do it. That's why this got nationalized. 55 00:03:04,720 --> 00:03:07,760 Speaker 1: What would also have what wo were the other implications 56 00:03:08,120 --> 00:03:11,560 Speaker 1: for Obviously, the congressional issue is front and center right now. 57 00:03:11,960 --> 00:03:14,960 Speaker 1: My understanding is Elon is going to be helping the 58 00:03:15,000 --> 00:03:17,200 Speaker 1: campaign in this, and this is truly getting national level 59 00:03:17,200 --> 00:03:20,919 Speaker 1: attention right now because Wisconsin such an important state, such 60 00:03:20,919 --> 00:03:24,359 Speaker 1: a critical swing state for both congressional control in the midterms. 61 00:03:24,360 --> 00:03:26,160 Speaker 1: And then, as we know, in the next election cycle, 62 00:03:26,160 --> 00:03:29,840 Speaker 1: Wisconsin's going to be a battleground again. In addition to 63 00:03:29,880 --> 00:03:34,680 Speaker 1: the congressional gerrymandering concern What are some of the other 64 00:03:34,720 --> 00:03:38,160 Speaker 1: things that will come before this court, and if it 65 00:03:38,200 --> 00:03:41,920 Speaker 1: were a left leaning court, could be problems to take 66 00:03:41,920 --> 00:03:44,480 Speaker 1: Wisconsin in the wrong direction, whether it's just in the 67 00:03:44,560 --> 00:03:46,560 Speaker 1: day to day business of it or in the next 68 00:03:46,760 --> 00:03:48,160 Speaker 1: presidential election cycle. 69 00:03:49,080 --> 00:03:52,440 Speaker 3: Well, this court's already been messing with voter integrity laws. 70 00:03:52,600 --> 00:03:57,240 Speaker 3: They created a new way of looking at our Wisconsin 71 00:03:57,320 --> 00:04:00,560 Speaker 3: statute that permits these ballot drop box that can be 72 00:04:00,600 --> 00:04:04,040 Speaker 3: put out. The legislature mid did not authorize that. This 73 00:04:04,120 --> 00:04:07,520 Speaker 3: court decided they want them because it opens up opportunities 74 00:04:07,520 --> 00:04:10,120 Speaker 3: for fraud. It opens up all sorts of opportunities for 75 00:04:10,200 --> 00:04:13,880 Speaker 3: ballot harvesting, which would be illegal in Wisconsin. But those 76 00:04:13,920 --> 00:04:15,680 Speaker 3: are the things they want, they want to get rid 77 00:04:15,720 --> 00:04:18,960 Speaker 3: of that. We have got major battles dealing with the 78 00:04:19,200 --> 00:04:22,960 Speaker 3: relative powers between the legislative and executive branch in Wisconsin, 79 00:04:23,400 --> 00:04:25,880 Speaker 3: similar to what's going on at the national level between 80 00:04:26,120 --> 00:04:29,440 Speaker 3: President Trump battling out between what is his authority as 81 00:04:29,440 --> 00:04:32,520 Speaker 3: the chief executive versus what some of these district courts 82 00:04:32,560 --> 00:04:35,400 Speaker 3: are doing. We're seeing those same kind of battles happening 83 00:04:35,400 --> 00:04:39,280 Speaker 3: in Wisconsin. They're going to go after our voter ID law. 84 00:04:39,560 --> 00:04:42,279 Speaker 3: They're going to go after our if we call it 85 00:04:42,320 --> 00:04:45,520 Speaker 3: Act ten. It's a law that you may remember back 86 00:04:45,560 --> 00:04:48,280 Speaker 3: in twenty eleven, all those huge protests at the Wisconsin 87 00:04:48,760 --> 00:04:52,920 Speaker 3: Wisconsin Capital, those are over Act ten. Act ten put 88 00:04:53,000 --> 00:04:58,400 Speaker 3: some limits on the negotiating powers of public employee unions. 89 00:04:58,440 --> 00:05:01,360 Speaker 3: Has nothing new with private sector unions, just public employee 90 00:05:01,400 --> 00:05:06,160 Speaker 3: unions who were effectively negotiating with themselves. We're looking estimates 91 00:05:06,160 --> 00:05:09,599 Speaker 3: say that that's going to cost Wisconsin taxpayers. Well, we've 92 00:05:09,640 --> 00:05:13,120 Speaker 3: saved that law has saved them in over thirty billion dollars. 93 00:05:13,400 --> 00:05:15,960 Speaker 3: We're looking at that being turned right back to taxpayers 94 00:05:15,960 --> 00:05:18,159 Speaker 3: if that comes down. These are the issues that are 95 00:05:18,200 --> 00:05:20,520 Speaker 3: going to be in front of this court. Opponent was 96 00:05:20,560 --> 00:05:23,719 Speaker 3: the lead lawyer going after AT ten. When she was 97 00:05:23,760 --> 00:05:26,760 Speaker 3: in private practice. She was a lead lawyer going after 98 00:05:26,839 --> 00:05:29,760 Speaker 3: our voter ID law. She called it traconian. These are 99 00:05:29,760 --> 00:05:31,480 Speaker 3: all issues that are going to end up in this court. 100 00:05:31,800 --> 00:05:35,880 Speaker 3: And she's out signaling file these lawsuits and you'll get 101 00:05:35,920 --> 00:05:36,600 Speaker 3: a good turnout. 102 00:05:37,200 --> 00:05:41,080 Speaker 1: We're talking to judge, bradschmmel. If Trump's voters turn out, 103 00:05:41,120 --> 00:05:45,800 Speaker 1: you will win. Democrats very often are better at the 104 00:05:45,920 --> 00:05:50,599 Speaker 1: special elections, at these non traditional let's call it that, 105 00:05:51,120 --> 00:05:54,360 Speaker 1: voting times. What is your message to people out there 106 00:05:54,400 --> 00:05:58,159 Speaker 1: who voted for Donald Trump and want Trump's agenda to 107 00:05:58,279 --> 00:06:01,840 Speaker 1: be implemented, because, as you said, if they rewrite these 108 00:06:01,839 --> 00:06:06,080 Speaker 1: house districts, basically what Democrats are doing is they're thinking, 109 00:06:06,240 --> 00:06:09,560 Speaker 1: we'll take away the House from Republicans and that will 110 00:06:09,600 --> 00:06:11,640 Speaker 1: be the roadblock to Trump's agenda. 111 00:06:11,720 --> 00:06:12,680 Speaker 2: Have I gotten that right? 112 00:06:12,760 --> 00:06:15,240 Speaker 1: But I think that's important for you to kind of 113 00:06:15,320 --> 00:06:17,720 Speaker 1: lay out for people who may not understand the larger 114 00:06:17,800 --> 00:06:18,360 Speaker 1: stakes here. 115 00:06:19,360 --> 00:06:19,560 Speaker 4: Yeah. 116 00:06:19,600 --> 00:06:21,760 Speaker 3: I think that's why President Trump has weighed in on 117 00:06:21,800 --> 00:06:25,600 Speaker 3: this race. When we talked last Friday before he announced 118 00:06:25,600 --> 00:06:29,000 Speaker 3: his endorsement, he asked me straight up, Brad, what do 119 00:06:29,040 --> 00:06:31,960 Speaker 3: you think about activist judges? And I told him, mister President, 120 00:06:32,040 --> 00:06:35,039 Speaker 3: the whole reason I'm running is to end the reign 121 00:06:35,040 --> 00:06:38,279 Speaker 3: of activist judges on our Wisconsin Supreme Court. We have 122 00:06:38,400 --> 00:06:41,760 Speaker 3: to restore our courts to objectivity judges who will follow 123 00:06:41,800 --> 00:06:44,560 Speaker 3: the law, not make the law from the bench. And 124 00:06:44,600 --> 00:06:47,000 Speaker 3: that was when President Trump said, well, good, then Brad, 125 00:06:47,040 --> 00:06:50,440 Speaker 3: You've got my phone complete endorsement. We have to prevent 126 00:06:50,680 --> 00:06:54,680 Speaker 3: the movement that is restoring America from bypassing Wisconsin because 127 00:06:55,040 --> 00:06:58,760 Speaker 3: we've got partisan judges on our Supreme Court who are 128 00:06:58,880 --> 00:07:00,760 Speaker 3: just doing everything they can and to put up a 129 00:07:00,839 --> 00:07:04,240 Speaker 3: roadblock to everything that conservatives try to do to make 130 00:07:04,279 --> 00:07:07,520 Speaker 3: our states stronger and better and more prosperous and safer. 131 00:07:08,520 --> 00:07:13,680 Speaker 3: My opponent is a horrible Madison leftist who has had 132 00:07:14,000 --> 00:07:18,200 Speaker 3: a terrible record on a criminal sentencing. She goes way back. 133 00:07:18,240 --> 00:07:22,160 Speaker 3: She was chief legal counsel for former Democrat Governor Jim Doyle, 134 00:07:22,520 --> 00:07:24,560 Speaker 3: who did a lot of damage to our state. She 135 00:07:24,760 --> 00:07:27,000 Speaker 3: was leading the charge on all that as his attorney. 136 00:07:28,200 --> 00:07:31,480 Speaker 1: Speaking to Brad Schimmel, Judge Simmel, who is running for 137 00:07:31,520 --> 00:07:36,520 Speaker 1: this critical Wisconsin State Supreme Court seat, and this election 138 00:07:36,840 --> 00:07:38,720 Speaker 1: is coming up in just a matter of days. It 139 00:07:38,760 --> 00:07:41,120 Speaker 1: is very tight right now, and it's very important. We're 140 00:07:41,160 --> 00:07:43,160 Speaker 1: not just the future of Wisconsin as a state, but 141 00:07:43,240 --> 00:07:46,520 Speaker 1: the future of the United States Congress and the control 142 00:07:46,560 --> 00:07:50,760 Speaker 1: thereof for the Trump agenda. So as goe with Wisconsin, 143 00:07:50,920 --> 00:07:53,440 Speaker 1: perhaps so go with the Congress. It is very important 144 00:07:53,480 --> 00:07:56,240 Speaker 1: for all of us to understand what these stakes are 145 00:07:56,760 --> 00:08:00,800 Speaker 1: and to that end. To that end, Judge, I'm wondering 146 00:08:01,600 --> 00:08:03,840 Speaker 1: what kind of money are the Democrats thrown into this 147 00:08:04,040 --> 00:08:06,600 Speaker 1: and what are some of the We know that this 148 00:08:06,720 --> 00:08:09,560 Speaker 1: is one of these situations where they're going to pretend, oh, 149 00:08:09,600 --> 00:08:12,600 Speaker 1: it's just all about Wisconsin from the Democrat side, But 150 00:08:12,600 --> 00:08:16,000 Speaker 1: they're getting New York money, Hollywood money, all over the 151 00:08:16,040 --> 00:08:18,240 Speaker 1: country they're piling in. I'm sure. So what are the 152 00:08:18,360 --> 00:08:19,760 Speaker 1: numbers like and what are you seeing? 153 00:08:20,920 --> 00:08:24,080 Speaker 3: How about this number four out of five donors to 154 00:08:24,200 --> 00:08:26,720 Speaker 3: my opponent don't live in Wisconsin. 155 00:08:27,320 --> 00:08:27,880 Speaker 2: There we go. 156 00:08:28,000 --> 00:08:31,920 Speaker 3: That's crazy, That is shocking, right, But another number that's 157 00:08:32,000 --> 00:08:34,440 Speaker 3: great for me. I've got over seventy five percent of 158 00:08:34,480 --> 00:08:37,800 Speaker 3: the sitting sheriffs in Wisconsin are publicly endorsing me, meaning 159 00:08:37,840 --> 00:08:41,160 Speaker 3: Democrat and Republican sheriffs, because they know my work as 160 00:08:41,200 --> 00:08:43,840 Speaker 3: attorney general and as a former district attorney in one 161 00:08:43,880 --> 00:08:46,520 Speaker 3: of our biggest counties in the state. I've got every 162 00:08:46,559 --> 00:08:50,800 Speaker 3: single law enforcement organization in Wisconsin it's publicly endorsing my campaign. 163 00:08:51,960 --> 00:08:55,800 Speaker 3: That means that means the organization's representing over sixteen thousand 164 00:08:55,840 --> 00:09:00,480 Speaker 3: frontline law enforcement officers are publicly backing me. She's got 165 00:09:00,480 --> 00:09:02,880 Speaker 3: out of state people trying to buy this Supreme Court. 166 00:09:03,200 --> 00:09:05,200 Speaker 3: I've got the people who take care of public safety 167 00:09:05,200 --> 00:09:06,760 Speaker 3: in our state who are backing me. 168 00:09:08,280 --> 00:09:10,839 Speaker 1: We've got people listening all over the state of Wisconsin, 169 00:09:10,920 --> 00:09:14,760 Speaker 1: but in particular WISN are incredible affiliate in Milwaukee. We've 170 00:09:14,760 --> 00:09:17,680 Speaker 1: been number one for a long time. They do phenomenal work. 171 00:09:18,080 --> 00:09:21,320 Speaker 1: Judge Schimmel, do you think people out there are aware 172 00:09:21,720 --> 00:09:24,240 Speaker 1: enough of what's going on with this race? Do you 173 00:09:24,320 --> 00:09:27,320 Speaker 1: get the sense that the base is in the same 174 00:09:27,360 --> 00:09:30,520 Speaker 1: way they were in twenty twenty four aware of the stakes, 175 00:09:30,800 --> 00:09:32,920 Speaker 1: or even with that money that's being spent, a lot 176 00:09:32,960 --> 00:09:35,200 Speaker 1: of it against you, do you think that a lot 177 00:09:35,240 --> 00:09:37,840 Speaker 1: of people still don't realize the stakes at play here 178 00:09:37,960 --> 00:09:39,800 Speaker 1: and even the fact that this race is happening. 179 00:09:41,040 --> 00:09:42,520 Speaker 3: I knew that it was going to be tough to 180 00:09:42,520 --> 00:09:45,560 Speaker 3: get that men's message to penetrate that this April election 181 00:09:45,720 --> 00:09:48,360 Speaker 3: is every bit is important as November. So I got 182 00:09:48,360 --> 00:09:51,679 Speaker 3: in this race sixteen months before election day to make 183 00:09:51,720 --> 00:09:54,120 Speaker 3: sure I got campaigned in all seventy two counties of 184 00:09:54,160 --> 00:09:57,760 Speaker 3: our state. I have I'm traveling constantly for this last 185 00:09:57,760 --> 00:10:00,720 Speaker 3: sixteen months, going and getting faced a f of voters 186 00:10:00,960 --> 00:10:04,720 Speaker 3: and I think it's worked. I've never seen conservatives this 187 00:10:04,920 --> 00:10:08,160 Speaker 3: fired up about a court race. They get it we're doing. 188 00:10:08,320 --> 00:10:12,079 Speaker 3: We're doing six to eight rallies every day, and at 189 00:10:12,160 --> 00:10:15,480 Speaker 3: these rallies we're getting huge turnouts. I ask people if 190 00:10:15,520 --> 00:10:18,240 Speaker 3: you lost any of your energy from November fifth, and 191 00:10:18,280 --> 00:10:21,360 Speaker 3: they all yell out, no way, not announced. We are 192 00:10:21,360 --> 00:10:24,720 Speaker 3: with you, Brad. We're fired up. And here's the great news. 193 00:10:24,800 --> 00:10:26,760 Speaker 3: All we have to do, because this race has so 194 00:10:26,840 --> 00:10:31,160 Speaker 3: much smaller turnout than November elections, if we turn out 195 00:10:31,160 --> 00:10:35,040 Speaker 3: sixty percent of President Trump's voters from November fifth, I'll 196 00:10:35,040 --> 00:10:38,000 Speaker 3: win this thing. And sixty percent is not a bad 197 00:10:38,080 --> 00:10:38,800 Speaker 3: number to have to hit. 198 00:10:39,720 --> 00:10:41,560 Speaker 1: No, do anything you want, anything you want to tell 199 00:10:41,559 --> 00:10:45,840 Speaker 1: anybody about the day, the voting, voting hours, the website 200 00:10:45,880 --> 00:10:48,240 Speaker 1: to go to to contributor help out or anything like that. 201 00:10:48,280 --> 00:10:51,319 Speaker 1: We just we got a huge audience Wisconsin fifty wisn 202 00:10:51,520 --> 00:10:54,319 Speaker 1: number one there. Thank you all wis and listeners. What 203 00:10:54,600 --> 00:10:56,040 Speaker 1: do people need to know to make sure we get 204 00:10:56,040 --> 00:10:57,720 Speaker 1: this done and bring you over the finish line? 205 00:10:58,280 --> 00:11:01,600 Speaker 3: Well, check us out at Shimmel for Justice dot com, 206 00:11:01,679 --> 00:11:04,360 Speaker 3: s C H I, M E, L F O R 207 00:11:04,720 --> 00:11:07,160 Speaker 3: Justice dot com and you can find out how you 208 00:11:07,160 --> 00:11:08,960 Speaker 3: can help us make sure we bring home to win. 209 00:11:09,360 --> 00:11:13,280 Speaker 3: Today is you can still go vote early today in 210 00:11:13,360 --> 00:11:16,199 Speaker 3: most communities, and in Milwaukee they can vote all the 211 00:11:16,240 --> 00:11:18,960 Speaker 3: way through the weekend, but most communities can't afford to 212 00:11:19,000 --> 00:11:21,600 Speaker 3: have clerks work all weekend. So for most of my 213 00:11:21,960 --> 00:11:24,360 Speaker 3: most of your listeners, today is the last day to 214 00:11:24,440 --> 00:11:26,920 Speaker 3: vote early and then on Tuesday, and we've got to 215 00:11:26,960 --> 00:11:29,600 Speaker 3: get this done. This is going to be easy. There's 216 00:11:29,720 --> 00:11:32,880 Speaker 3: the lines will be short, there will nothing bad is 217 00:11:32,920 --> 00:11:34,360 Speaker 3: going to happen, and you're going to be able to 218 00:11:34,360 --> 00:11:37,080 Speaker 3: wake up on April second feeling great that you were 219 00:11:37,160 --> 00:11:39,320 Speaker 3: part of a movement that's going to save our state, 220 00:11:39,880 --> 00:11:41,600 Speaker 3: just like they were part of a movement to save 221 00:11:41,640 --> 00:11:44,400 Speaker 3: our nation back on November fifth. We've got to do 222 00:11:44,480 --> 00:11:47,160 Speaker 3: this again, and this is a turnout race. Got to 223 00:11:47,160 --> 00:11:49,400 Speaker 3: get our people out. Every vote is going to count. 224 00:11:49,559 --> 00:11:52,000 Speaker 3: You talked earlier about how close some of our races are. 225 00:11:52,440 --> 00:11:54,600 Speaker 3: This one is going to be absolutely as tight as 226 00:11:54,600 --> 00:11:58,000 Speaker 3: all those previous races. Show up and we'll get this done. 227 00:11:58,720 --> 00:12:01,600 Speaker 1: Judge Shemy will get it done. We appreciate you listening, 228 00:12:01,679 --> 00:12:04,280 Speaker 1: and we love all of you in Wisconsin. We're asking 229 00:12:04,320 --> 00:12:06,600 Speaker 1: you one more time. Keep the battle going and help 230 00:12:06,720 --> 00:12:09,200 Speaker 1: keep Donald Trump able to do the job that you 231 00:12:09,320 --> 00:12:12,640 Speaker 1: elected him to do as the chief executive. Judge, thank you, 232 00:12:12,679 --> 00:12:14,680 Speaker 1: have a good weekend and good luck on Tuesday. 233 00:12:15,520 --> 00:12:16,360 Speaker 3: Thank you so much. 234 00:12:16,520 --> 00:12:17,959 Speaker 2: Take care, Judge. 235 00:12:18,000 --> 00:12:25,040 Speaker 1: Bradshammel, Wisconsin, Wisconsin Natives. You did it for Donald Trump. 236 00:12:25,360 --> 00:12:27,280 Speaker 1: You did it for Ron Johnson. You need to do 237 00:12:27,320 --> 00:12:29,800 Speaker 1: it for Brad Schimmel. Get out and vote and make 238 00:12:29,840 --> 00:12:33,480 Speaker 1: sure you do. 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You can also call 255 00:13:34,440 --> 00:13:38,200 Speaker 1: eight eight eight four eight eight IFCJ. That's eight eight 256 00:13:38,280 --> 00:13:40,720 Speaker 1: eight four eight eight IFCJ. 257 00:13:41,559 --> 00:13:41,880 Speaker 3: Do it. 258 00:13:42,120 --> 00:13:44,560 Speaker 2: Support IFCJ dot org. 259 00:13:45,559 --> 00:13:50,600 Speaker 5: Stories are freedom stories of America. Inspirational stories that you 260 00:13:50,679 --> 00:13:53,920 Speaker 5: unite us all each day spend time with Clay and 261 00:13:54,120 --> 00:13:57,960 Speaker 5: by find them on the free iHeartRadio app or wherever 262 00:13:58,040 --> 00:13:59,199 Speaker 5: you get your podcasts. 263 00:13:59,559 --> 00:14:01,360 Speaker 1: All right, well, wec come back into Clay and Buck. 264 00:14:01,679 --> 00:14:04,679 Speaker 1: I wanted to get to some of our talkbacks here. 265 00:14:04,720 --> 00:14:06,880 Speaker 1: Remember we love this talkback feature. We love our live 266 00:14:06,920 --> 00:14:08,960 Speaker 1: calls too. It's just we'd take all of the above. 267 00:14:09,480 --> 00:14:11,960 Speaker 1: You know the phone number, but for talkbacks, download that 268 00:14:12,000 --> 00:14:15,800 Speaker 1: iHeart app, the best audio app anywhere. It's on my 269 00:14:15,840 --> 00:14:17,640 Speaker 1: front page of my phone. I use it every day. 270 00:14:17,679 --> 00:14:20,920 Speaker 1: It's free, it's awesome. And you go to the Clay 271 00:14:20,960 --> 00:14:23,280 Speaker 1: and Buck page, you press the little microphone, you send 272 00:14:23,360 --> 00:14:26,160 Speaker 1: us a talkback. We hear them all, we see them all. 273 00:14:26,200 --> 00:14:27,640 Speaker 1: We don't get to play them all because there's so 274 00:14:27,640 --> 00:14:29,920 Speaker 1: many of them, but we'll play as many as we can. 275 00:14:30,360 --> 00:14:32,640 Speaker 1: And like I say, if you want to get your 276 00:14:32,680 --> 00:14:35,120 Speaker 1: talkback on the air, start with something like Clay and Buck, 277 00:14:35,160 --> 00:14:37,480 Speaker 1: you were such scholars and gentlemen. You were so handsome 278 00:14:37,520 --> 00:14:40,600 Speaker 1: and fantastic. I mean, you know, something like that. That's 279 00:14:40,640 --> 00:14:42,400 Speaker 1: a good start to things. Or just make fun of 280 00:14:42,440 --> 00:14:44,000 Speaker 1: Clay because then I'll definitely want to play it on 281 00:14:44,000 --> 00:14:49,840 Speaker 1: the air. We have podcast listener from Daytona Beach, Helen, 282 00:14:50,440 --> 00:14:54,440 Speaker 1: writing in about remember we have this critical six congressional 283 00:14:54,600 --> 00:14:59,600 Speaker 1: seat six Congressional District special election seat play AA the. 284 00:15:00,000 --> 00:15:03,880 Speaker 6: The listener Helen here in Daytona Beach, and I've been 285 00:15:03,880 --> 00:15:07,080 Speaker 6: aware of the race and early voting is now and 286 00:15:07,120 --> 00:15:09,960 Speaker 6: I heard at my square dance meeting the other night 287 00:15:10,000 --> 00:15:13,720 Speaker 6: that the Republicans are lagging behind the Democrats in responding 288 00:15:13,800 --> 00:15:16,360 Speaker 6: right now to this race. So we need to get 289 00:15:16,400 --> 00:15:19,280 Speaker 6: out there and vote early for this for Randy. 290 00:15:19,280 --> 00:15:22,920 Speaker 1: Fine, we do, and the square dance a good place 291 00:15:23,000 --> 00:15:26,240 Speaker 1: to spread the good news. Clay gotta tell everybody about 292 00:15:26,240 --> 00:15:29,000 Speaker 1: this one. Have you a square dance? You're from Tennessee. 293 00:15:29,680 --> 00:15:32,240 Speaker 1: I don't think so. I don't think nothing against people 294 00:15:32,280 --> 00:15:34,080 Speaker 1: who go out in square dance. I don't think I've 295 00:15:34,080 --> 00:15:36,160 Speaker 1: ever been I love Is that something a Manhattan guy 296 00:15:36,240 --> 00:15:38,320 Speaker 1: thinks you all like the same way that people assume 297 00:15:38,360 --> 00:15:41,280 Speaker 1: everybody in Japan knows karate, Like if I assume everyone 298 00:15:41,320 --> 00:15:45,040 Speaker 1: in Tennessee square dances, am I being a coastal elite? 299 00:15:45,200 --> 00:15:45,480 Speaker 5: Well? 300 00:15:45,600 --> 00:15:49,560 Speaker 1: Is square dancing different than wine dancing? I will admit 301 00:15:49,640 --> 00:15:52,160 Speaker 1: to not being an expert in the dance community. So 302 00:15:52,880 --> 00:15:55,800 Speaker 1: wine dancing was a thing that was popular for a while. 303 00:15:55,840 --> 00:15:59,360 Speaker 1: Maybe it still is. Square dancing. Is that a varied 304 00:15:59,480 --> 00:16:02,760 Speaker 1: variation and I think an older school variation of line dancing. 305 00:16:03,040 --> 00:16:06,440 Speaker 1: I'm not really an expert in this, so I do 306 00:16:06,560 --> 00:16:10,480 Speaker 1: know they still do line dancing at some like country bars. 307 00:16:10,760 --> 00:16:12,800 Speaker 2: Producer, Ali, you're very cultured. Can you wait? 308 00:16:12,840 --> 00:16:14,760 Speaker 1: Do you know the difference here? And you know, you 309 00:16:14,960 --> 00:16:17,840 Speaker 1: know yoga and these these creative things, what about this 310 00:16:17,920 --> 00:16:20,560 Speaker 1: square dance? Yoga is not very similar with square dance. 311 00:16:21,040 --> 00:16:22,120 Speaker 6: You guys put me on the spot. 312 00:16:22,200 --> 00:16:23,840 Speaker 7: I actually don't know the difference. 313 00:16:25,280 --> 00:16:28,160 Speaker 1: I'm a New York though, Yeah, we don't. There's not 314 00:16:28,160 --> 00:16:30,080 Speaker 1: a lot of square dancing in New York. Not really, 315 00:16:30,160 --> 00:16:32,600 Speaker 1: that doesn't surprise. We got some great to other talkbacks. 316 00:16:32,600 --> 00:16:34,600 Speaker 1: By the way, BB wants to know this what I 317 00:16:34,640 --> 00:16:36,480 Speaker 1: was calling for earlier? Do I want to sleep on 318 00:16:36,520 --> 00:16:37,280 Speaker 1: the couch here? 319 00:16:37,280 --> 00:16:40,400 Speaker 2: It is way my guy? Why are you trying so 320 00:16:40,560 --> 00:16:42,040 Speaker 2: hard to sleep on the couch? 321 00:16:43,400 --> 00:16:47,640 Speaker 1: Look, my wife can't park, and I'm actually, I think 322 00:16:47,720 --> 00:16:51,400 Speaker 1: calling attention to a larger issue that SUV designers should 323 00:16:51,400 --> 00:16:53,640 Speaker 1: be aware of, which is women who are not tall 324 00:16:53,760 --> 00:16:56,800 Speaker 1: can't see over the hood of the big SUVs, and 325 00:16:56,880 --> 00:17:00,360 Speaker 1: therefore they're probably doing billions of dollars in dance image 326 00:17:00,360 --> 00:17:02,800 Speaker 1: trying to park at Chick fil A parking lots. I'm 327 00:17:02,800 --> 00:17:05,480 Speaker 1: just trying to save America. One more CC. 328 00:17:05,720 --> 00:17:07,520 Speaker 2: What you got, Clay Travis. 329 00:17:07,560 --> 00:17:10,560 Speaker 8: This is Rick from Kentucky. Do you know what Tennessee 330 00:17:10,560 --> 00:17:14,119 Speaker 8: wars orange? It's a universal color. They can wear it 331 00:17:14,160 --> 00:17:17,160 Speaker 8: to the ball game on Saturday, go deer hunting on Sunday, 332 00:17:17,760 --> 00:17:20,760 Speaker 8: pick up trash on Monday to satisfy their community service, 333 00:17:21,000 --> 00:17:23,119 Speaker 8: go blue bock. 334 00:17:23,160 --> 00:17:27,120 Speaker 1: Do you even know why our beloved listener there, Rick 335 00:17:27,160 --> 00:17:30,000 Speaker 1: from Kentucky, just out of nowhere, decided to attack the 336 00:17:30,040 --> 00:17:34,360 Speaker 1: Tennessee Volunteers Big game, No big game. It tames off 337 00:17:34,400 --> 00:17:36,879 Speaker 1: a little bit after seven Tonight on the East Coast, 338 00:17:37,560 --> 00:17:41,800 Speaker 1: Tennessee Volunteers America's team is playing the University of Kentucky, 339 00:17:42,240 --> 00:17:45,800 Speaker 1: and I have Tennessee to win, so I am going 340 00:17:45,840 --> 00:17:48,000 Speaker 1: with your home state of Tennessee on this one. I 341 00:17:48,040 --> 00:17:50,760 Speaker 1: love Kentucky too, though this is kind of picking between 342 00:17:50,800 --> 00:17:52,560 Speaker 1: two of my favorites. This is a tough well in 343 00:17:52,600 --> 00:17:56,800 Speaker 1: Our beloved boss, Julie Talbot is a big time Kentucky wildcatch. 344 00:17:56,840 --> 00:17:58,320 Speaker 1: He's going to be sad tonight. I feel bad for 345 00:17:58,480 --> 00:18:00,879 Speaker 1: because Tennessee is going to be Kentucky. And so is 346 00:18:00,880 --> 00:18:02,600 Speaker 1: our caller there who just said, and then you know what, 347 00:18:02,600 --> 00:18:04,200 Speaker 1: We're gonna be able to go pick up garbage and 348 00:18:04,280 --> 00:18:07,520 Speaker 1: our orange outfits on our parole release. 349 00:18:08,000 --> 00:18:08,880 Speaker 2: What do I got to hit here? 350 00:18:08,920 --> 00:18:11,840 Speaker 1: Rapid radios they can make an amazing difference for all 351 00:18:11,880 --> 00:18:15,840 Speaker 1: of you out there. They got these rapid radios are 352 00:18:15,920 --> 00:18:19,240 Speaker 1: selling like hotcakes all over the country because people want 353 00:18:19,240 --> 00:18:21,200 Speaker 1: to be able to stay in touch with their families 354 00:18:21,280 --> 00:18:24,000 Speaker 1: in the event of some sort of catastrophe. 355 00:18:24,040 --> 00:18:25,440 Speaker 2: But also a lot. 356 00:18:25,280 --> 00:18:28,959 Speaker 1: Of people don't want their young kids to have access 357 00:18:29,320 --> 00:18:32,800 Speaker 1: to a smartphone, and this will allow you to have 358 00:18:32,840 --> 00:18:34,840 Speaker 1: like old school, remember when we had the Gi Joe 359 00:18:34,840 --> 00:18:37,280 Speaker 1: walkie talkies. This will allow you to be able to 360 00:18:37,280 --> 00:18:41,000 Speaker 1: stay in touch with all your family, friends and family nationwide. 361 00:18:41,040 --> 00:18:43,560 Speaker 1: It's incredible. We love these guys. Go to Rapid Radios 362 00:18:43,600 --> 00:18:47,680 Speaker 1: dot Com sixty percent off free ups shipping from Michigan 363 00:18:48,000 --> 00:18:52,080 Speaker 1: plus a free protection bag. Rapid Radios dot Com Code 364 00:18:52,440 --> 00:18:58,240 Speaker 1: Radio do it Today. Welcome back in Clay Travis buck 365 00:18:58,280 --> 00:19:02,000 Speaker 1: Sexton Show. Appreciate all of you hanging out with us 366 00:19:02,119 --> 00:19:06,920 Speaker 1: as we are rolling through the program lots that we 367 00:19:07,000 --> 00:19:11,680 Speaker 1: have been discussing. We've got a bunch of people reacting 368 00:19:11,720 --> 00:19:16,320 Speaker 1: to a wide variety, including our boss Julie Talbot, who 369 00:19:16,400 --> 00:19:20,000 Speaker 1: said about University of Kentucky grad We'll see who's crying 370 00:19:20,080 --> 00:19:22,240 Speaker 1: later tonight. And I just have to say I feel 371 00:19:22,240 --> 00:19:26,120 Speaker 1: bad for She's been an incredible boss for us going 372 00:19:26,160 --> 00:19:30,119 Speaker 1: into the weekend. I hate that Michael, her phenomenal husband, 373 00:19:30,240 --> 00:19:32,479 Speaker 1: is just gonna have to be cradling her and she's 374 00:19:32,560 --> 00:19:36,320 Speaker 1: crying later tonight, Tennessee eliminates Kentucky in advances to the 375 00:19:36,359 --> 00:19:39,720 Speaker 1: Elite eight. I just feel bad for. By the way, 376 00:19:39,720 --> 00:19:41,280 Speaker 1: I'm gonna have to find a place to watch this 377 00:19:41,320 --> 00:19:44,480 Speaker 1: because I'm gonna be in Memphis at a lacrosse tournament. 378 00:19:45,280 --> 00:19:48,720 Speaker 1: Who's actually favored to win this one? I'm just curious. 379 00:19:48,720 --> 00:19:50,560 Speaker 1: I have absolutely Tennessee is a four and a half 380 00:19:50,560 --> 00:19:54,960 Speaker 1: point favorite, But Kentucky has beaten Tennessee twice today, So 381 00:19:55,680 --> 00:19:59,320 Speaker 1: that's a bit of a bit of a mess for 382 00:19:59,320 --> 00:20:02,040 Speaker 1: for Tennessee. You know, really, it's gonna come down to 383 00:20:02,119 --> 00:20:05,040 Speaker 1: three point shooting, as like every basketball game does. 384 00:20:05,080 --> 00:20:05,240 Speaker 2: Now. 385 00:20:05,320 --> 00:20:07,400 Speaker 1: Kentucky has shot much better from three in the first 386 00:20:07,440 --> 00:20:10,200 Speaker 1: two games than they have on the season. Tennessee is 387 00:20:10,240 --> 00:20:13,440 Speaker 1: shot worse. So I'm not gonna lie. I'm a little 388 00:20:13,440 --> 00:20:16,960 Speaker 1: bit nervous because having your season end is tough. Having 389 00:20:16,960 --> 00:20:19,720 Speaker 1: your season in to Kentucky is I don't know, that 390 00:20:19,720 --> 00:20:24,119 Speaker 1: would be absolutely brutal. Speaking of brutal, you shared this 391 00:20:24,160 --> 00:20:28,399 Speaker 1: and it's gone megaviral on social media? Do you know 392 00:20:28,680 --> 00:20:32,440 Speaker 1: this girl named Zoe has a girl named Zoe? That's 393 00:20:32,440 --> 00:20:36,280 Speaker 1: all we know? Girl named Zoe? Was this initially on TikTok? Like, 394 00:20:36,280 --> 00:20:39,440 Speaker 1: where did this video come from that it initially went megaviral? 395 00:20:39,520 --> 00:20:43,480 Speaker 2: Do you remember or no? I think it's either TikTok 396 00:20:43,600 --> 00:20:44,280 Speaker 2: or Instagram. 397 00:20:44,320 --> 00:20:47,919 Speaker 1: That's usually where the insane lib women stare into the 398 00:20:47,960 --> 00:20:52,119 Speaker 1: camera and share their crazy political philosophy and remind us 399 00:20:52,160 --> 00:20:54,920 Speaker 1: all while the birth and marriage rates are plummeting in 400 00:20:54,960 --> 00:20:57,639 Speaker 1: this country. Okay, so we've talked a lot about this 401 00:20:57,760 --> 00:21:01,399 Speaker 1: on the program. Young men, young women, failure to get married, 402 00:21:01,520 --> 00:21:05,400 Speaker 1: not having as many kids historically, young men overwhelmingly now 403 00:21:05,480 --> 00:21:09,560 Speaker 1: voting Trump, young women overwhelmingly voting Kamala. I want you 404 00:21:09,640 --> 00:21:13,159 Speaker 1: to listen to this woman, this Zoe, who is explaining 405 00:21:13,200 --> 00:21:17,000 Speaker 1: she was dating a man from Indiana. She calls him 406 00:21:17,040 --> 00:21:20,480 Speaker 1: a redneck. He says he's independent. He says he is 407 00:21:20,600 --> 00:21:24,520 Speaker 1: socially liberal and fiscally conservative. And that is this is 408 00:21:24,560 --> 00:21:26,440 Speaker 1: what you say when you want to when you want 409 00:21:26,440 --> 00:21:29,119 Speaker 1: to spend some time with the crazy lib chick, you know, 410 00:21:29,200 --> 00:21:32,600 Speaker 1: you say, I'm vote socially liberal but fiscally conservative anyway. 411 00:21:33,080 --> 00:21:35,320 Speaker 1: But I do think this is probably something that maybe 412 00:21:35,320 --> 00:21:38,320 Speaker 1: you and your own life are experiencing, or your kids 413 00:21:38,400 --> 00:21:41,240 Speaker 1: or grandkids are dealing with. This failure of men and 414 00:21:41,280 --> 00:21:43,960 Speaker 1: women to come together. There is a seismic gap when 415 00:21:43,960 --> 00:21:47,560 Speaker 1: it comes to politics, and this chick, I'm gonna be honest, 416 00:21:47,960 --> 00:21:51,840 Speaker 1: sounds completely and utterly awful, But you can judge for yourself. 417 00:21:51,880 --> 00:21:56,160 Speaker 1: Here's Zoe explaining relationship status. When it comes to politics. 418 00:21:56,280 --> 00:21:58,360 Speaker 7: Everyone knows that I'm a liberal woman. My brother's gay, 419 00:21:58,400 --> 00:22:00,520 Speaker 7: all my friends are gay also like abortionary. 420 00:22:00,720 --> 00:22:01,600 Speaker 8: Female rise eh. 421 00:22:01,880 --> 00:22:04,720 Speaker 7: But anyways, so I would like always ask him. I'd 422 00:22:04,720 --> 00:22:06,679 Speaker 7: be like, what, like what's your politics? 423 00:22:06,760 --> 00:22:08,880 Speaker 2: Like you who do you? Where do you lean? 424 00:22:09,320 --> 00:22:12,680 Speaker 7: And he was just like, well, like, socially I'm a liberal, 425 00:22:12,840 --> 00:22:14,440 Speaker 7: but economically I'm a Republican. 426 00:22:15,920 --> 00:22:16,560 Speaker 6: That okay. 427 00:22:16,760 --> 00:22:18,120 Speaker 8: Also, he's a twenty eight year old man. 428 00:22:18,200 --> 00:22:19,880 Speaker 7: That's the first red flag because if there's a twenty 429 00:22:19,920 --> 00:22:22,080 Speaker 7: eight year old man and he's single, there's a reason. 430 00:22:21,800 --> 00:22:22,359 Speaker 3: That he's single. 431 00:22:22,640 --> 00:22:26,920 Speaker 7: But anyways, so then I'm like, well, like what makes you, 432 00:22:26,920 --> 00:22:29,440 Speaker 7: you know, economically republican? Because like I could give you 433 00:22:29,480 --> 00:22:31,840 Speaker 7: a whole bunch of facts right now that proved that 434 00:22:31,880 --> 00:22:34,600 Speaker 7: you shouldn't be. And he was like all of his 435 00:22:34,640 --> 00:22:36,080 Speaker 7: infos from his friends, And I was like, you get 436 00:22:36,119 --> 00:22:39,000 Speaker 7: all your information from your friends, obviously you can't trust them. 437 00:22:39,040 --> 00:22:40,680 Speaker 7: You need to do the research yourself. And if you 438 00:22:40,720 --> 00:22:42,040 Speaker 7: do the research, I told him, I was like, I'll 439 00:22:42,040 --> 00:22:44,600 Speaker 7: support you based on your decision if you actually research 440 00:22:44,640 --> 00:22:46,440 Speaker 7: it yourself, Like I won't care if you're a Republican. 441 00:22:47,280 --> 00:22:50,080 Speaker 7: But anyways, and so he was like, Zoe, I have 442 00:22:50,440 --> 00:22:53,399 Speaker 7: much better things to do than research politics, Like I 443 00:22:53,440 --> 00:22:55,000 Speaker 7: have way more important things to do. 444 00:22:57,720 --> 00:23:01,399 Speaker 1: Okay, I'm having flashbacks to first dates in New York 445 00:23:01,920 --> 00:23:05,160 Speaker 1: over many, many years of being a single guy, and 446 00:23:05,560 --> 00:23:08,480 Speaker 1: this this mentality of I'm sorry, I just know everything, 447 00:23:08,520 --> 00:23:10,359 Speaker 1: and like, why do you think you know anything about politics? 448 00:23:10,400 --> 00:23:12,280 Speaker 1: And like abortion rights, gay rights, women's right. 449 00:23:12,320 --> 00:23:13,600 Speaker 2: Like just the whole thing. 450 00:23:14,680 --> 00:23:16,520 Speaker 1: This is what it's like to be in a major 451 00:23:16,680 --> 00:23:21,680 Speaker 1: Democrat urban center and out on the scene. And this guy, 452 00:23:21,720 --> 00:23:24,959 Speaker 1: whoever he is from Indiana, he dodged more bullets than 453 00:23:25,000 --> 00:23:27,800 Speaker 1: Neo in the matrix. I mean, he is so lucky 454 00:23:27,960 --> 00:23:31,520 Speaker 1: that this did not work out. I watched the whole 455 00:23:31,600 --> 00:23:34,399 Speaker 1: video that you posted because I was, you know, doing 456 00:23:34,440 --> 00:23:38,840 Speaker 1: prep this morning, and I so, first of all, this 457 00:23:38,920 --> 00:23:40,880 Speaker 1: is a little bit ties in with what I talked 458 00:23:40,880 --> 00:23:43,960 Speaker 1: about at the University of Chicago, the thing that went megaviral. 459 00:23:44,560 --> 00:23:47,520 Speaker 1: I think a lot of these twenty something year old women, 460 00:23:48,000 --> 00:23:49,440 Speaker 1: I don't know how old she is, twenty four to 461 00:23:49,480 --> 00:23:50,040 Speaker 1: twenty five. 462 00:23:50,119 --> 00:23:52,920 Speaker 2: First of all, everybody's. 463 00:23:52,359 --> 00:23:54,280 Speaker 1: Always older that she looked older than that to me, 464 00:23:54,440 --> 00:23:56,320 Speaker 1: you know, you think older, Well, she was saying he 465 00:23:56,359 --> 00:23:58,600 Speaker 1: was twenty eight. I was assuming that she was probably 466 00:23:58,640 --> 00:24:00,760 Speaker 1: within a couple of years of him. Maybe she's older them, 467 00:24:00,760 --> 00:24:04,000 Speaker 1: maybe she's also twenty eight or whatever. But twenty eight 468 00:24:04,040 --> 00:24:05,440 Speaker 1: is not that old, by the way, for a guy 469 00:24:05,440 --> 00:24:07,879 Speaker 1: to be single. I'm not sure that is a major 470 00:24:07,920 --> 00:24:10,200 Speaker 1: red flag. If she had said forty eight he's never 471 00:24:10,240 --> 00:24:12,119 Speaker 1: been married, I'd be like, a, you know, maybe you 472 00:24:12,119 --> 00:24:13,880 Speaker 1: should maybe he got a little bit of an art 473 00:24:13,880 --> 00:24:18,439 Speaker 1: Nothing against twenty eight. There are sixty eight year old guys, 474 00:24:18,560 --> 00:24:20,760 Speaker 1: usually with boats here in Miami, who are going out 475 00:24:20,760 --> 00:24:23,280 Speaker 1: with twenty eight year old So I get it. But 476 00:24:23,720 --> 00:24:25,600 Speaker 1: I do think if you're a girl and the guys 477 00:24:25,640 --> 00:24:28,680 Speaker 1: in his mid forties and he's never gotten married, probably 478 00:24:28,680 --> 00:24:30,960 Speaker 1: a little bit of a red flag in general. 479 00:24:31,000 --> 00:24:32,600 Speaker 2: Now, you didn't get how old were you to go? 480 00:24:32,720 --> 00:24:37,399 Speaker 1: Mary Clay Travis getting a little dancing around the minefield 481 00:24:37,440 --> 00:24:38,320 Speaker 1: here a little bit, buddy. 482 00:24:38,359 --> 00:24:40,240 Speaker 2: You know, some of us I did to just wait. 483 00:24:40,320 --> 00:24:42,399 Speaker 1: We didn't just get We didn't have the love of 484 00:24:42,440 --> 00:24:44,840 Speaker 1: our life fall into our lap. In law school. Some 485 00:24:44,880 --> 00:24:46,200 Speaker 1: of us had to go out there and you know, 486 00:24:46,359 --> 00:24:51,040 Speaker 1: hunt for a while. So twenty eight, thirty eight, whatever, 487 00:24:51,080 --> 00:24:55,040 Speaker 1: But let's go here to the essence. I am a 488 00:24:55,080 --> 00:24:57,800 Speaker 1: little bit sympathetic because I think a lot of twenty 489 00:24:58,480 --> 00:25:02,040 Speaker 1: young twenty somethings are more and you'll look back on 490 00:25:02,080 --> 00:25:04,040 Speaker 1: some of the things that you thought when you were 491 00:25:04,080 --> 00:25:06,760 Speaker 1: twenty or twenty five or fifteen or whatever the age is, 492 00:25:06,800 --> 00:25:09,040 Speaker 1: when you get to be forty five or fifty or sixty, 493 00:25:09,400 --> 00:25:11,160 Speaker 1: and you'll say, boy, I was really dumb. I didn't 494 00:25:11,200 --> 00:25:16,320 Speaker 1: have the life experience to have learned enough. She, I 495 00:25:16,440 --> 00:25:19,280 Speaker 1: think is and I think a lot of women are 496 00:25:19,280 --> 00:25:23,439 Speaker 1: setting themselves up for this way. They are thinking that 497 00:25:23,480 --> 00:25:25,880 Speaker 1: they want a man that is one type of man, 498 00:25:26,880 --> 00:25:29,760 Speaker 1: and they're either not going to be able to find 499 00:25:29,760 --> 00:25:33,439 Speaker 1: that guy, or maybe even worse buck, she's going to 500 00:25:33,520 --> 00:25:39,920 Speaker 1: find this effeminate, left wing loving man and she's actually 501 00:25:39,920 --> 00:25:44,360 Speaker 1: going to end up hating him. Because I'm just telling you, 502 00:25:45,160 --> 00:25:47,879 Speaker 1: I don't believe there are any women out there that 503 00:25:48,000 --> 00:25:51,320 Speaker 1: actually want to end up with feminine men. I don't 504 00:25:51,320 --> 00:25:54,600 Speaker 1: believe that kind of category of women exists. I think 505 00:25:54,640 --> 00:25:58,560 Speaker 1: they claim that they do, and then they realize that 506 00:25:58,640 --> 00:26:04,120 Speaker 1: they're basically living with another woman and he's emotionally unstable 507 00:26:04,280 --> 00:26:07,919 Speaker 1: and he's not manly, and they don't have a loving 508 00:26:08,280 --> 00:26:12,720 Speaker 1: relationship because what they don't They don't want somebody who 509 00:26:12,760 --> 00:26:15,439 Speaker 1: is similar to them. They want an actual man, and 510 00:26:15,480 --> 00:26:18,000 Speaker 1: they don't know it well at all. It all adds up, 511 00:26:18,040 --> 00:26:22,359 Speaker 1: and yes, I do have trauma, trauma from many years 512 00:26:22,400 --> 00:26:24,760 Speaker 1: of being in New York City and trying to convince 513 00:26:24,880 --> 00:26:28,760 Speaker 1: usually very attractive but very left wing women on dates. 514 00:26:29,480 --> 00:26:33,880 Speaker 2: I'm sort of leaving libertarian these days. That's nice one. 515 00:26:33,960 --> 00:26:36,280 Speaker 1: By the way, I will say this too, how many 516 00:26:36,320 --> 00:26:38,080 Speaker 1: of those girls do you think you could have eliminated 517 00:26:38,119 --> 00:26:41,320 Speaker 1: if you didn't see them? Because when I listen to 518 00:26:41,359 --> 00:26:44,480 Speaker 1: that girl, as opposed to watch her, she's kind of cute. 519 00:26:45,119 --> 00:26:47,399 Speaker 1: If I just listen to her, I'm like, I would 520 00:26:47,960 --> 00:26:49,760 Speaker 1: I want to get a nail gun and just put 521 00:26:49,800 --> 00:26:51,960 Speaker 1: it into my head rather than have to listen to this. 522 00:26:52,240 --> 00:26:54,000 Speaker 1: But I think there are a lot of men out there, 523 00:26:54,440 --> 00:26:57,199 Speaker 1: maybe the vast majority of them, that are willing to 524 00:26:57,200 --> 00:27:01,720 Speaker 1: put up with awfulness beyond beloe. Well, because the girl's pretty, 525 00:27:01,840 --> 00:27:03,720 Speaker 1: Like if you just had to listen to her, oh 526 00:27:03,720 --> 00:27:05,399 Speaker 1: of course, you would be like, I'll never go on 527 00:27:05,400 --> 00:27:07,040 Speaker 1: a date with this girl. I see this, and I 528 00:27:07,080 --> 00:27:09,520 Speaker 1: don't think this is controversial, though people pretend like this 529 00:27:09,640 --> 00:27:10,680 Speaker 1: isn't necessarily true. 530 00:27:10,680 --> 00:27:11,600 Speaker 2: We all know it's true. 531 00:27:12,080 --> 00:27:16,160 Speaker 1: Women make bad decisions about their or rather, women are 532 00:27:16,200 --> 00:27:19,320 Speaker 1: blinded by and then make bad decisions because of men's 533 00:27:19,440 --> 00:27:22,880 Speaker 1: money and status and men. I'm speaking in the greatest 534 00:27:22,880 --> 00:27:26,760 Speaker 1: of generalizations here, but men make bad decisions and are 535 00:27:26,800 --> 00:27:30,600 Speaker 1: blinded because of women's attractiveness. Okay, that is I was 536 00:27:30,600 --> 00:27:32,520 Speaker 1: just speaking about the guys who are in their sixties 537 00:27:32,600 --> 00:27:34,280 Speaker 1: with the boat with the big fancy boats here and 538 00:27:34,320 --> 00:27:36,040 Speaker 1: the twenty five year old girlfriends. By the way, in 539 00:27:36,080 --> 00:27:39,960 Speaker 1: Miami Beach. That's not the that's happening everywhere. Yeah, it's 540 00:27:39,960 --> 00:27:41,960 Speaker 1: like this is not something that anybody even really notices. 541 00:27:41,960 --> 00:27:44,560 Speaker 1: It's happening all over the place. But yeah, the guy 542 00:27:44,560 --> 00:27:46,239 Speaker 1: who owns the boat, you got to spend time with them. 543 00:27:46,280 --> 00:27:48,640 Speaker 1: That's the thing, you know, it's the it's the Bill, 544 00:27:49,119 --> 00:27:52,040 Speaker 1: the Bill Belichick lay. They're going full full Bill Belichick. 545 00:27:52,200 --> 00:27:54,720 Speaker 1: I mean, I think it actually makes sense biologically right, 546 00:27:54,800 --> 00:28:01,040 Speaker 1: because women again biologically are driven primary. But I think 547 00:28:01,040 --> 00:28:03,960 Speaker 1: about it, I mean, it's gonna be a head play, Travis. 548 00:28:04,000 --> 00:28:04,680 Speaker 2: You know, Caveman. 549 00:28:05,119 --> 00:28:10,640 Speaker 1: Women are driven by a desire for security and uh 550 00:28:10,680 --> 00:28:14,760 Speaker 1: and health and safety and success for their offspring. And 551 00:28:14,880 --> 00:28:18,880 Speaker 1: the wealthier and more powerful man can theoretically provide that right. 552 00:28:19,040 --> 00:28:22,639 Speaker 1: So biologically that makes sense. And men like young women 553 00:28:22,920 --> 00:28:24,960 Speaker 1: because young women are more likely to be able to 554 00:28:24,960 --> 00:28:27,760 Speaker 1: have babies. This is why we all exist. Sorry, that's 555 00:28:27,800 --> 00:28:32,720 Speaker 1: my big take, Clay. Uh yeah, this is this is accurate. 556 00:28:32,880 --> 00:28:37,160 Speaker 1: But okay. So the ideology though, notice she lays out 557 00:28:37,200 --> 00:28:40,720 Speaker 1: all these things her far left politics. Part of it 558 00:28:40,760 --> 00:28:47,440 Speaker 1: is toxic masculinity, alpha manliness. All of those things are 559 00:28:47,520 --> 00:28:52,240 Speaker 1: contrary to her political beliefs. So if you are an 560 00:28:52,280 --> 00:28:55,000 Speaker 1: alpha male who, let's say, believes in even things that 561 00:28:55,040 --> 00:28:59,440 Speaker 1: are not necessarily that political, but things like differentiation of 562 00:28:59,520 --> 00:29:03,640 Speaker 1: the sex, is that men should be protectors, that men 563 00:29:03,680 --> 00:29:06,120 Speaker 1: are generally going to be bigger and stronger, that men 564 00:29:06,160 --> 00:29:09,240 Speaker 1: should be the primary earner in the household, any of 565 00:29:09,280 --> 00:29:12,080 Speaker 1: those sorts of things are going to run a foul 566 00:29:12,120 --> 00:29:17,080 Speaker 1: of her beliefs, and so that's why she's going to be, oftentimes, 567 00:29:17,480 --> 00:29:20,480 Speaker 1: I think, miserable trying to find and this is her 568 00:29:20,600 --> 00:29:24,400 Speaker 1: slash all women that have similar beliefs to her, because 569 00:29:24,520 --> 00:29:28,320 Speaker 1: they are excluding as a matter of politics, the kind 570 00:29:28,360 --> 00:29:33,160 Speaker 1: of man that women are generally biologically geared toward liking 571 00:29:33,680 --> 00:29:35,400 Speaker 1: and at the end of the video, which we didn't play, 572 00:29:35,720 --> 00:29:37,720 Speaker 1: She's like, and I've been thank well ever since. And 573 00:29:37,760 --> 00:29:39,440 Speaker 1: it was just sort of the funniest because like, yeah, 574 00:29:39,880 --> 00:29:42,000 Speaker 1: no surprise, you've been single ever since. 575 00:29:42,520 --> 00:29:43,760 Speaker 2: But it is in. 576 00:29:43,680 --> 00:29:50,120 Speaker 1: Fact highly ideological white women age call it, you know, 577 00:29:50,560 --> 00:29:54,880 Speaker 1: twenty to forty five in America, who are really now 578 00:29:54,920 --> 00:30:00,360 Speaker 1: the base of the Democrat Biden Kamala party. That's who 579 00:30:00,360 --> 00:30:03,360 Speaker 1: they can count on and if they went sorry, college 580 00:30:03,520 --> 00:30:06,960 Speaker 1: educated white women twenty to forty five college educated is 581 00:30:06,960 --> 00:30:10,000 Speaker 1: an important component because that's when the indoctrination happens, that's 582 00:30:10,000 --> 00:30:13,400 Speaker 1: when they learn all this stuff. They also often are 583 00:30:13,480 --> 00:30:17,120 Speaker 1: ending up single now, and this is what we were 584 00:30:17,120 --> 00:30:20,000 Speaker 1: talking about with doctor Laura, Like Membercy got really fired up. 585 00:30:20,040 --> 00:30:22,479 Speaker 1: These are also the women sometimes that want to have 586 00:30:22,560 --> 00:30:26,640 Speaker 1: children and they go to sperm donors, and instead of 587 00:30:26,640 --> 00:30:28,680 Speaker 1: being able to find a man that they can actually 588 00:30:28,840 --> 00:30:32,000 Speaker 1: have a relationship with, they're flipping through binders trying to 589 00:30:32,000 --> 00:30:35,480 Speaker 1: find guys that they can have a baby with that 590 00:30:35,520 --> 00:30:38,160 Speaker 1: they never meet and that their kids have no relationship with. 591 00:30:38,760 --> 00:30:41,840 Speaker 1: And I think they're just making a series of bad choices. 592 00:30:42,480 --> 00:30:47,880 Speaker 1: But because they have made those choices themselves, they oftentimes 593 00:30:48,160 --> 00:30:53,960 Speaker 1: need larger societal issues to have created those choices for them, right, Like, 594 00:30:54,000 --> 00:30:57,800 Speaker 1: it's almost like their security blanket is the world is 595 00:30:57,840 --> 00:31:01,760 Speaker 1: so misogynistic and awful that I have no other option. 596 00:31:02,760 --> 00:31:04,600 Speaker 1: Some of these women are going to get married, and 597 00:31:04,640 --> 00:31:06,360 Speaker 1: by the time they have babies, they'll look back on 598 00:31:06,400 --> 00:31:09,560 Speaker 1: themselves and say, boy, I was a moron. By the way, 599 00:31:09,600 --> 00:31:11,960 Speaker 1: a lot of men get married look back on themselves 600 00:31:12,000 --> 00:31:13,520 Speaker 1: and say, boy, you know I was kind of a 601 00:31:13,560 --> 00:31:16,000 Speaker 1: moron too. I mean, I think that's the common trajectory. 602 00:31:16,040 --> 00:31:19,680 Speaker 1: It's why age adds wisdom, because you have lived through 603 00:31:19,880 --> 00:31:23,520 Speaker 1: every life experience and you can analyze it better at 604 00:31:23,560 --> 00:31:27,720 Speaker 1: fifteen than you could at fifteen. And so I hope 605 00:31:27,760 --> 00:31:29,720 Speaker 1: that some of this is going to happen. But the 606 00:31:29,800 --> 00:31:32,320 Speaker 1: other thing is, like posting these videos, does she think 607 00:31:32,360 --> 00:31:37,000 Speaker 1: that this makes her look really likable? Because are there 608 00:31:37,040 --> 00:31:40,440 Speaker 1: other women that are like Slay Queen? Yes, girl like? 609 00:31:41,080 --> 00:31:43,320 Speaker 1: Actually to me, I watched the video and I just 610 00:31:43,320 --> 00:31:45,640 Speaker 1: felt sorry for her, and it made me find her 611 00:31:45,680 --> 00:31:52,040 Speaker 1: profoundly unlikable. Yes, all true. Speaking of keeping women safe, 612 00:31:52,840 --> 00:31:55,400 Speaker 1: you should feel safe all the time, especially in your home. Saber, 613 00:31:55,680 --> 00:31:59,080 Speaker 1: my friends, helps you with that. Saber is spelled Sabri 614 00:32:00,080 --> 00:32:03,400 Speaker 1: Multigeneration family business been around for more than fifty years. 615 00:32:03,760 --> 00:32:07,400 Speaker 1: Their non lethal self defense products empower you so you 616 00:32:07,440 --> 00:32:11,160 Speaker 1: can protect yourself and your family with easy to use, 617 00:32:11,280 --> 00:32:13,760 Speaker 1: easy to understand equipment that gives you peace of mind 618 00:32:13,760 --> 00:32:17,440 Speaker 1: at home. 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I believe in the Second Amendment big time, 629 00:32:43,520 --> 00:32:45,240 Speaker 1: and I've got a lot of firearms here at home. 630 00:32:45,280 --> 00:32:48,120 Speaker 1: Those are lethal options, though Carrie prefers to have a 631 00:32:48,120 --> 00:32:50,280 Speaker 1: non lethal option, So we've got a whole bunch of 632 00:32:50,320 --> 00:32:52,600 Speaker 1: Saber products so that if she's here without me and 633 00:32:52,640 --> 00:32:55,040 Speaker 1: she wants to defend herself or she's got a problem, 634 00:32:55,120 --> 00:32:57,600 Speaker 1: that she needs to be able to feel safe and 635 00:32:57,600 --> 00:33:01,720 Speaker 1: secure at home she goes with. Check out their products 636 00:33:01,720 --> 00:33:05,320 Speaker 1: at Saber radio dot com, s A b R E 637 00:33:05,440 --> 00:33:08,600 Speaker 1: Radio dot com and Bonus say fifteen percent on that 638 00:33:08,600 --> 00:33:11,920 Speaker 1: website today. They're pepper gels and pepper sprays. Just can 639 00:33:11,960 --> 00:33:13,880 Speaker 1: tell you that as well, the best in the market. 640 00:33:13,920 --> 00:33:16,160 Speaker 1: I've got law enforcement friends down here and they've got 641 00:33:16,200 --> 00:33:16,880 Speaker 1: Saber products. 642 00:33:16,920 --> 00:33:17,760 Speaker 2: That's what they go with. 643 00:33:18,160 --> 00:33:20,640 Speaker 1: So you want to check out what Saber's got Saber 644 00:33:20,760 --> 00:33:24,480 Speaker 1: radio dot com, Saber s A b R E Radio 645 00:33:24,560 --> 00:33:27,040 Speaker 1: dot com, and you can also call if you just 646 00:33:27,080 --> 00:33:28,520 Speaker 1: want to call the phone, they'll help you out. They 647 00:33:28,600 --> 00:33:31,440 Speaker 1: got great customer service. Eight four four A two four 648 00:33:31,560 --> 00:33:34,160 Speaker 1: Safe that's eight four four eight two four. 649 00:33:34,440 --> 00:33:40,719 Speaker 5: Safe Stories are freedom stories of America, inspirational stories that 650 00:33:40,760 --> 00:33:41,560 Speaker 5: you unite. 651 00:33:41,320 --> 00:33:44,400 Speaker 2: Us all each day, spend time with Clay. 652 00:33:44,120 --> 00:33:47,680 Speaker 5: And by find them on the free iHeartRadio app or 653 00:33:47,720 --> 00:33:49,600 Speaker 5: wherever you get your podcasts. 654 00:33:50,080 --> 00:33:52,080 Speaker 2: Welcome back in to Clay and Buck. All right, so 655 00:33:52,120 --> 00:33:53,040 Speaker 2: we got some calls coming in. 656 00:33:53,080 --> 00:33:55,479 Speaker 1: We got a lot to dive into here and a 657 00:33:55,560 --> 00:33:59,280 Speaker 1: third hour, got some fantastic guests including Kirk Cameron of 658 00:33:59,640 --> 00:34:02,160 Speaker 1: Growing Paine's Fame fame back in the day. 659 00:34:02,800 --> 00:34:04,800 Speaker 2: Uh and we also are going to be. 660 00:34:04,840 --> 00:34:11,680 Speaker 1: Joined by Steve on his new run for he's got 661 00:34:11,680 --> 00:34:14,759 Speaker 1: a cool accent and he's in a sharp mind. So 662 00:34:14,800 --> 00:34:16,919 Speaker 1: we'll talk to him in just a little bit here. 663 00:34:17,200 --> 00:34:19,920 Speaker 1: But we've got a call that fall of falls right 664 00:34:20,000 --> 00:34:22,800 Speaker 1: in with what we're just talking about. Hayden and Charleston, 665 00:34:22,880 --> 00:34:26,759 Speaker 1: South Carolina. Hayden, you've dealt with crazy libs. What's going on? 666 00:34:26,880 --> 00:34:27,080 Speaker 8: Man? 667 00:34:28,200 --> 00:34:34,440 Speaker 4: Not too much here in Charleston, South Carolina and Hatty Toddy. So. 668 00:34:34,920 --> 00:34:39,560 Speaker 4: I broke up with my girlfriend last weekend. She's surprised 669 00:34:40,120 --> 00:34:44,839 Speaker 4: for she's super liberal. We would always have cordial conversations 670 00:34:44,880 --> 00:34:47,680 Speaker 4: about politics. I was trying to teach her what that 671 00:34:47,760 --> 00:34:52,760 Speaker 4: she's actually Republican. But she surprised me with she hoped 672 00:34:52,760 --> 00:34:57,360 Speaker 4: that Elon and Trump would both get shot or die somehow. 673 00:34:58,080 --> 00:35:00,840 Speaker 2: Whoa was she drunk or how did this come on? 674 00:35:01,120 --> 00:35:03,160 Speaker 1: Like you're just chilling hanging out, next thing, you know, 675 00:35:03,239 --> 00:35:06,240 Speaker 1: she wants trumpet Elon dead, Like how does that conversation happen? 676 00:35:07,239 --> 00:35:12,320 Speaker 4: Well on on the front porch. Actually, uh, just before noon, 677 00:35:12,520 --> 00:35:17,080 Speaker 4: so very sober. I sit on Twitter and check some 678 00:35:17,160 --> 00:35:20,600 Speaker 4: things and wanted to show or something really funny about Trump, 679 00:35:21,239 --> 00:35:23,920 Speaker 4: and she exploded. It's like you know, I don't want 680 00:35:23,920 --> 00:35:27,960 Speaker 4: to hear anything about Trump. I despise him and Elon 681 00:35:28,080 --> 00:35:28,759 Speaker 4: and I hope that. 682 00:35:28,719 --> 00:35:31,800 Speaker 5: They both, you know, gets shot. 683 00:35:31,800 --> 00:35:32,480 Speaker 2: How old is she. 684 00:35:34,120 --> 00:35:34,680 Speaker 4: Thirty nine? 685 00:35:35,520 --> 00:35:39,279 Speaker 2: Oh no, oh no, they baite Hayden, thanks for the call. 686 00:35:39,400 --> 00:35:44,080 Speaker 1: Good move thirty nine year olds before noon, no alcohol, 687 00:35:44,160 --> 00:35:46,920 Speaker 1: being like I hope trumpet Elon gets shot and get shot. 688 00:35:47,000 --> 00:35:49,880 Speaker 2: You gotta cut bait. You gotta say to hurry this guy. 689 00:35:50,160 --> 00:35:52,680 Speaker 1: You could tell that he he it's like he just 690 00:35:52,719 --> 00:35:55,719 Speaker 1: broke out a shawshank and the rain is coming down 691 00:35:55,760 --> 00:35:57,480 Speaker 1: on his face and he could taste the freedom. 692 00:35:57,520 --> 00:36:00,400 Speaker 2: You know, he's good, he's doing fine. Oh yeah, that's 693 00:36:00,440 --> 00:36:03,040 Speaker 2: a tough one to get into. It's one thing if. 694 00:36:02,920 --> 00:36:05,080 Speaker 1: You got like a drunk twenty two year old. Remember 695 00:36:05,160 --> 00:36:07,760 Speaker 1: we talked about this off air. I think, look, people 696 00:36:07,840 --> 00:36:10,640 Speaker 1: do dumb things when their college age, get drunk, say 697 00:36:10,719 --> 00:36:11,239 Speaker 1: dumb things. 698 00:36:11,280 --> 00:36:14,360 Speaker 2: Their lives shouldn't be over. If you're almost. 699 00:36:14,000 --> 00:36:16,640 Speaker 1: Forty and you're rooting for Elon and Trump to get killed, 700 00:36:16,880 --> 00:36:19,640 Speaker 1: you gotta screw loose. And if somebody is saying that 701 00:36:19,680 --> 00:36:21,440 Speaker 1: to you, you got to run in the opposite direction 702 00:36:21,480 --> 00:36:24,000 Speaker 1: from them. And I say that, Look, Biden was an 703 00:36:24,040 --> 00:36:26,759 Speaker 1: awful President, the idea that you want him shot, I mean, 704 00:36:26,800 --> 00:36:30,080 Speaker 1: you got serious issues if that's where your mind goes 705 00:36:30,840 --> 00:36:34,000 Speaker 1: in any way. So I think he's dodging literal, maybe 706 00:36:34,000 --> 00:36:36,160 Speaker 1: not literal, figurative bullets there by being able to get 707 00:36:36,200 --> 00:36:39,560 Speaker 1: away there. We got Kirk Cameron coming up, we got 708 00:36:40,280 --> 00:36:43,799 Speaker 1: Steve Hilton coming up, and more amazing Clay and Buck 709 00:36:43,880 --> 00:36:44,319 Speaker 1: coming up. 710 00:36:44,400 --> 00:36:47,440 Speaker 2: So you know, get up, stretch, come back to us 711 00:36:47,440 --> 00:36:47,920 Speaker 2: in a moment.