1 00:00:00,200 --> 00:00:03,920 Speaker 1: Third hour play in Vock gets going right now. Donald 2 00:00:04,000 --> 00:00:09,480 Speaker 1: Trump making his triumphant return, probably the best return ever 3 00:00:09,960 --> 00:00:14,600 Speaker 1: to Capitol Hill. Today. He met with House and Senate Republicans. 4 00:00:15,360 --> 00:00:18,959 Speaker 1: So this is the first time he has been at 5 00:00:18,960 --> 00:00:23,360 Speaker 1: our at the Capitol, I should say since January sixth 6 00:00:23,400 --> 00:00:27,320 Speaker 1: of twenty twenty one. So there's some some symbolism here. 7 00:00:27,880 --> 00:00:34,160 Speaker 1: Trump is meeting with, like I said, GOP legislators and 8 00:00:35,479 --> 00:00:39,640 Speaker 1: he a packed room of House Republicans saying happy birthday 9 00:00:39,680 --> 00:00:43,639 Speaker 1: to Trump in the private breakfast meeting at up waits. 10 00:00:44,240 --> 00:00:47,240 Speaker 1: Is it his birthday? This is from PBS. Is it 11 00:00:47,280 --> 00:00:48,320 Speaker 1: Trump's birthday today? 12 00:00:48,840 --> 00:00:50,600 Speaker 2: It's close to it. I know because he said it 13 00:00:50,640 --> 00:00:53,159 Speaker 2: at rally recently that at some point you get to 14 00:00:53,200 --> 00:00:55,720 Speaker 2: an age where you'd prefer that they did it have 15 00:00:55,800 --> 00:00:56,640 Speaker 2: to sing happy. 16 00:00:56,440 --> 00:00:58,680 Speaker 1: Oh it's tomorrow. Okay, it's tomorrow. So that that's close 17 00:00:58,800 --> 00:01:02,120 Speaker 1: enough that they're singing for I figured, happy birthday. That's 18 00:01:02,120 --> 00:01:06,240 Speaker 1: frum probably the best birthday here. He is speaking at 19 00:01:06,280 --> 00:01:08,640 Speaker 1: the Capitol today. This is cut twenty seven talking about 20 00:01:08,640 --> 00:01:09,120 Speaker 1: the GOP. 21 00:01:09,640 --> 00:01:12,600 Speaker 3: We have great unity, we have great common sense. A 22 00:01:12,600 --> 00:01:14,360 Speaker 3: lot of very smart people in this room, and a 23 00:01:14,360 --> 00:01:16,560 Speaker 3: lot of people that love our country. They love our 24 00:01:16,600 --> 00:01:19,959 Speaker 3: country beyond just about all else, and the only thing 25 00:01:20,000 --> 00:01:23,200 Speaker 3: that maybe supersedes it is their family and maybe their 26 00:01:23,200 --> 00:01:26,000 Speaker 3: faith in certain instances. And that's very nice. But they 27 00:01:26,000 --> 00:01:28,080 Speaker 3: want this country to be great again, and we're going 28 00:01:28,120 --> 00:01:30,240 Speaker 3: to make it great again. And so I just want 29 00:01:30,240 --> 00:01:32,760 Speaker 3: to thank the Republican Senate, and I want to thank 30 00:01:32,800 --> 00:01:35,280 Speaker 3: also the House. We met, as you know, with the 31 00:01:35,319 --> 00:01:39,240 Speaker 3: full house Republican House today and we had a tremendous 32 00:01:39,240 --> 00:01:42,560 Speaker 3: meeting with them also, and there's great unity, very similar, 33 00:01:43,040 --> 00:01:45,319 Speaker 3: and there's one thing in common. We want to make 34 00:01:45,400 --> 00:01:47,840 Speaker 3: America great again. We want to make our country great again. 35 00:01:47,920 --> 00:01:50,800 Speaker 3: We're a nation that's in decline. We're declining nation. We're 36 00:01:50,800 --> 00:01:52,680 Speaker 3: a nation that is being left at all. 37 00:01:52,520 --> 00:01:53,200 Speaker 1: Over the world. 38 00:01:53,280 --> 00:01:55,440 Speaker 3: We have a leader that's being left at all over 39 00:01:55,480 --> 00:01:55,960 Speaker 3: the world. 40 00:01:56,960 --> 00:01:59,480 Speaker 1: If he could make America great again, it would be 41 00:02:00,200 --> 00:02:00,720 Speaker 1: very nice. 42 00:02:00,960 --> 00:02:04,120 Speaker 2: I agree, it is pretty remarkable. I'm looking at the 43 00:02:04,440 --> 00:02:11,400 Speaker 2: latest numbers. Yesterday evening buck poll came out of Maine 44 00:02:12,040 --> 00:02:16,440 Speaker 2: which showed Trump is basically dead even in Maine. He 45 00:02:16,520 --> 00:02:19,720 Speaker 2: lost the state of Maine by nine points or so. 46 00:02:20,440 --> 00:02:24,480 Speaker 2: Polls out from Virginia showing dead even He lost Virginia 47 00:02:24,600 --> 00:02:28,640 Speaker 2: by ten. Right now, there is not a single state 48 00:02:29,200 --> 00:02:34,080 Speaker 2: that Trump won in twenty twenty that Biden looks like 49 00:02:34,160 --> 00:02:36,680 Speaker 2: he's going to be able to flip in twenty twenty four. 50 00:02:37,000 --> 00:02:40,960 Speaker 2: Closest one that Trump won is North Carolina, but Trump 51 00:02:41,040 --> 00:02:43,840 Speaker 2: has been up big in North Carolina throughout. So we're 52 00:02:43,840 --> 00:02:48,520 Speaker 2: fighting the battle on Biden terrain right now. I got 53 00:02:48,639 --> 00:02:49,360 Speaker 2: nervous about this. 54 00:02:49,600 --> 00:02:52,400 Speaker 1: I gotta ask, you know, Okay, So you know when 55 00:02:52,480 --> 00:02:55,400 Speaker 1: someone comes to me and they say, hey, you know, 56 00:02:55,560 --> 00:02:58,359 Speaker 1: will you are you interested in investing in the following 57 00:02:58,480 --> 00:03:00,280 Speaker 1: thing that I'm doing? Right? Which happens to me a 58 00:03:00,280 --> 00:03:02,280 Speaker 1: little bit these days, probably happens to you a lot. 59 00:03:03,360 --> 00:03:05,160 Speaker 1: One of the things I always like to ask is 60 00:03:06,120 --> 00:03:09,520 Speaker 1: what are the things that could happen that make this 61 00:03:09,600 --> 00:03:12,079 Speaker 1: thing go bad? So it's that you and I have 62 00:03:12,160 --> 00:03:14,720 Speaker 1: to have the this didn't work, I lost all of 63 00:03:14,760 --> 00:03:18,760 Speaker 1: your money. Conversation, Yes, and I will never accept there's 64 00:03:18,880 --> 00:03:21,480 Speaker 1: nothing because of course there's something right of time, there 65 00:03:21,520 --> 00:03:24,480 Speaker 1: has to be otherwise there's no risk involved. So what 66 00:03:24,520 --> 00:03:29,000 Speaker 1: are the risks? Effectively? You tend to view the polling 67 00:03:29,080 --> 00:03:32,639 Speaker 1: and I think just your mindset about things Trump related 68 00:03:33,080 --> 00:03:34,880 Speaker 1: at this point, you have optimism. 69 00:03:34,920 --> 00:03:37,400 Speaker 2: I know you're not to be fair to you because 70 00:03:37,440 --> 00:03:40,040 Speaker 2: this is a criticism of my wife. For me, I 71 00:03:40,200 --> 00:03:43,480 Speaker 2: view all of life in a very optimistic prism. So 72 00:03:43,600 --> 00:03:47,360 Speaker 2: to your point, on investing, on starting new companies, on 73 00:03:47,440 --> 00:03:50,440 Speaker 2: all sorts of things, and you experienced this sum with 74 00:03:50,600 --> 00:03:54,520 Speaker 2: Crockett Coffee, like I don't. It's not that I don't 75 00:03:54,760 --> 00:03:58,080 Speaker 2: know that there are downsides, it's just I think I 76 00:03:58,200 --> 00:04:00,240 Speaker 2: work through them. But I tend to be on the 77 00:04:00,240 --> 00:04:03,040 Speaker 2: optimistic side of life. So that's not just on the elections. 78 00:04:03,040 --> 00:04:05,440 Speaker 1: But yes, yes, no, So this is this is your way, 79 00:04:05,520 --> 00:04:07,720 Speaker 1: I think because the CIA got deep in my brain. 80 00:04:08,160 --> 00:04:10,520 Speaker 1: The CIA. You're basically just always figuring out like how 81 00:04:10,600 --> 00:04:13,240 Speaker 1: is this going to go totally boobar and be on 82 00:04:13,280 --> 00:04:15,320 Speaker 1: the front page of the Washington Post, Like that's that's 83 00:04:15,360 --> 00:04:16,200 Speaker 1: the thinking of the sion. 84 00:04:16,279 --> 00:04:18,520 Speaker 2: This is My wife would say that I that she's 85 00:04:18,600 --> 00:04:23,040 Speaker 2: not pessimistic, that she's just realistic, and I'm always optimistic. 86 00:04:23,200 --> 00:04:25,120 Speaker 2: So we have this conversation regularly. 87 00:04:25,400 --> 00:04:31,880 Speaker 1: So how do you see things go bad and Biden wins? 88 00:04:31,920 --> 00:04:33,360 Speaker 2: You know what I mean? What's yes? 89 00:04:33,440 --> 00:04:38,159 Speaker 1: Because because right now I can't trust that Trump is 90 00:04:38,200 --> 00:04:41,080 Speaker 1: winning in every swing state and he's ahead even in 91 00:04:41,160 --> 00:04:45,039 Speaker 1: some previously uh sort of blue purple states, and you 92 00:04:45,080 --> 00:04:48,200 Speaker 1: mentioned made I can't trust it because I don't want 93 00:04:48,240 --> 00:04:51,320 Speaker 1: to go through that. You know that, just kicking the 94 00:04:51,400 --> 00:04:54,040 Speaker 1: face of Oh my gosh, we didn't see this coming 95 00:04:54,040 --> 00:04:56,120 Speaker 1: on election day. You've got to be kidding me. What 96 00:04:56,360 --> 00:04:59,400 Speaker 1: worries you? What could change this around in your mind? 97 00:04:59,480 --> 00:05:02,840 Speaker 1: Since you tend to view this very optimistically. 98 00:05:02,520 --> 00:05:06,599 Speaker 2: What worries me is I think Michigan, Wisconsin, and Pennsylvania 99 00:05:06,720 --> 00:05:09,880 Speaker 2: are all going to go the same way as they 100 00:05:09,920 --> 00:05:13,359 Speaker 2: did in twenty sixteen and as they did in twenty twenty, 101 00:05:14,200 --> 00:05:17,760 Speaker 2: and I think Biden could pull the sort of the 102 00:05:18,800 --> 00:05:21,800 Speaker 2: card that he needs. If you're a poker player, you 103 00:05:21,839 --> 00:05:25,200 Speaker 2: don't have a great hand and you're losing, but you 104 00:05:25,360 --> 00:05:29,400 Speaker 2: get the exact right hand. I think the math of 105 00:05:29,520 --> 00:05:34,440 Speaker 2: Biden winning two seventy to two sixty eight is very real. 106 00:05:34,839 --> 00:05:35,119 Speaker 1: Yeah. 107 00:05:35,160 --> 00:05:40,719 Speaker 2: That would mean Trump flips Georgia, Trump flips Arizona, and 108 00:05:40,839 --> 00:05:45,400 Speaker 2: Trump flips Nevada, but he loses those big ten states 109 00:05:45,440 --> 00:05:51,920 Speaker 2: of Pennsylvania, Michigan, uh uh in Wisconsin. If you told 110 00:05:51,960 --> 00:05:55,559 Speaker 2: me right now, Trump is gonna win one of those 111 00:05:55,640 --> 00:05:59,160 Speaker 2: three states, if you guaranteed it to me, I would say, 112 00:05:59,240 --> 00:06:01,279 Speaker 2: Trump is one hundred percent going to be the next 113 00:06:01,279 --> 00:06:04,600 Speaker 2: president of the United States. But if you told me 114 00:06:04,680 --> 00:06:09,640 Speaker 2: Biden is gonna win Pennsylvania, I would think to myself, 115 00:06:09,680 --> 00:06:14,040 Speaker 2: Biden may get that narrow win that he needs and 116 00:06:14,120 --> 00:06:17,120 Speaker 2: he could be president two seventy to two sixty eight. 117 00:06:17,200 --> 00:06:17,880 Speaker 2: That's what worries me. 118 00:06:17,960 --> 00:06:20,479 Speaker 1: And let's be honest, it would be somewhat similar to 119 00:06:20,520 --> 00:06:25,400 Speaker 1: Trump Trump. Trump ran the obstacle course in twenty sixteen perfectly. 120 00:06:26,040 --> 00:06:28,559 Speaker 1: He didn't blow out Hillary, as we know in terms 121 00:06:28,560 --> 00:06:30,640 Speaker 1: of the I mean popular vote, that's not the contest 122 00:06:30,720 --> 00:06:34,160 Speaker 1: you run. But Hillary was millions ahead. But he ran 123 00:06:34,200 --> 00:06:36,880 Speaker 1: the obstacle course perfectly, right. He did exactly what he 124 00:06:37,000 --> 00:06:40,880 Speaker 1: needed to win that game. And you're what you're saying 125 00:06:40,920 --> 00:06:44,520 Speaker 1: is effectively Biden pulls the Trump right now, Trump is 126 00:06:44,560 --> 00:06:46,479 Speaker 1: the one his way ahead, but Biden might be able 127 00:06:46,520 --> 00:06:48,640 Speaker 1: to just squeak it out in just the states, all right. 128 00:06:48,920 --> 00:06:51,400 Speaker 1: By the way, I co signed that, I do think 129 00:06:51,400 --> 00:06:54,040 Speaker 1: that that's the risk here as well, is that all 130 00:06:54,080 --> 00:06:56,440 Speaker 1: the noise and all the all the debates and the 131 00:06:56,480 --> 00:07:01,800 Speaker 1: trials and everything else, who has better ground game in Pennsylvania, Michigan, Wisconsin. 132 00:07:02,120 --> 00:07:06,240 Speaker 1: Democrats are Republicans, who micro targets, who early votes, who 133 00:07:06,360 --> 00:07:10,200 Speaker 1: ballot harvest, who does those things better in those places? 134 00:07:10,400 --> 00:07:14,240 Speaker 1: Who plays dirty tricks and runs just the most ds 135 00:07:14,280 --> 00:07:17,600 Speaker 1: ads imaginable in key markets at the last second, and 136 00:07:17,640 --> 00:07:20,440 Speaker 1: we'll just say anything. I think that that could be 137 00:07:20,520 --> 00:07:22,560 Speaker 1: how this goes bad for Trump. 138 00:07:23,240 --> 00:07:27,280 Speaker 2: That's why I loved having Senator Haggerty on yesterday because 139 00:07:27,320 --> 00:07:28,880 Speaker 2: and I think he said this on the air, but 140 00:07:29,720 --> 00:07:32,440 Speaker 2: he would not mind if I said it. As soon 141 00:07:32,480 --> 00:07:35,600 Speaker 2: as the results came in. On twenty twenty two, I 142 00:07:35,720 --> 00:07:38,520 Speaker 2: was on the phone with him. He is a data guy, 143 00:07:39,520 --> 00:07:42,040 Speaker 2: and he worked his ass off on twenty twenty two. 144 00:07:42,120 --> 00:07:45,760 Speaker 2: Senator Haggerty from Tennessee, traveling all over the country trying 145 00:07:45,800 --> 00:07:50,840 Speaker 2: to get a Senate majority, just fighting battles everywhere, and 146 00:07:51,360 --> 00:07:55,320 Speaker 2: he's you know, some people get upset. I like data 147 00:07:55,360 --> 00:07:59,200 Speaker 2: guys because they say okay, and gals they say, okay, 148 00:07:59,480 --> 00:08:02,560 Speaker 2: we low what did we do wrong? What could we 149 00:08:02,640 --> 00:08:05,920 Speaker 2: do better? Instead of pouting, let's go into the data. 150 00:08:06,000 --> 00:08:10,000 Speaker 2: It's like, if you're a sports person, you'll lose a game. 151 00:08:10,600 --> 00:08:12,240 Speaker 2: You have to go back and look at the film. 152 00:08:12,920 --> 00:08:15,600 Speaker 2: What did we not execute on? Don't focus on what 153 00:08:15,680 --> 00:08:19,120 Speaker 2: people did to you as much as focus on what 154 00:08:19,240 --> 00:08:22,000 Speaker 2: you can control. That's the way I try to try 155 00:08:22,000 --> 00:08:24,960 Speaker 2: to live my life, is, hey, what can I control? 156 00:08:25,880 --> 00:08:27,560 Speaker 2: He went back and looked at the data, and he said, 157 00:08:27,560 --> 00:08:30,640 Speaker 2: they got a better mousetrap than we do. They are 158 00:08:30,720 --> 00:08:33,719 Speaker 2: better at delivering their voters. So we can either sit 159 00:08:33,760 --> 00:08:38,560 Speaker 2: around and complain, or we can try to rebuild our 160 00:08:38,760 --> 00:08:40,680 Speaker 2: game plan using what they did. 161 00:08:41,080 --> 00:08:45,839 Speaker 1: A perfect example of this. You know, Katie Hobbs versus 162 00:08:46,040 --> 00:08:50,600 Speaker 1: Carrie Lake for Governor of Arizona. Carrie Lake is I mean, 163 00:08:51,120 --> 00:08:51,680 Speaker 1: I know some. 164 00:08:51,600 --> 00:08:55,840 Speaker 2: People are telegenic, literally a television star in Arizona. 165 00:08:55,880 --> 00:08:58,880 Speaker 1: She does you very very media savvy, gets a good 166 00:08:58,920 --> 00:09:03,000 Speaker 1: presence on TV, compelling speaker, you know, whether you like 167 00:09:03,000 --> 00:09:04,719 Speaker 1: her policies or not, just put aside. If we're just 168 00:09:04,760 --> 00:09:07,160 Speaker 1: looking at this like tail of the tape, like two Boxers, 169 00:09:07,520 --> 00:09:10,679 Speaker 1: it's got all this very telegenic media percent everything else. 170 00:09:10,760 --> 00:09:12,880 Speaker 1: Katie Hobbs, I can't even I don't even know what 171 00:09:12,880 --> 00:09:14,240 Speaker 1: she looks like now, like I have to sort of 172 00:09:14,240 --> 00:09:15,439 Speaker 1: think about it. I'm like, I think she kind of 173 00:09:15,440 --> 00:09:17,920 Speaker 1: wears glasses, a little gray hair to her shoulders. I 174 00:09:18,120 --> 00:09:22,040 Speaker 1: don't even really know what she looks like because she 175 00:09:22,120 --> 00:09:25,920 Speaker 1: didn't care. She didn't show up the debate, she didn't 176 00:09:25,920 --> 00:09:29,760 Speaker 1: try to get on national TV. She just knew how 177 00:09:29,800 --> 00:09:32,079 Speaker 1: to get the votes she needed in Arizona to win, 178 00:09:32,400 --> 00:09:34,600 Speaker 1: and she knew it before she got them, that that's 179 00:09:34,640 --> 00:09:37,160 Speaker 1: what's gonna happen. She was like, yeah, I'm not even 180 00:09:37,200 --> 00:09:41,800 Speaker 1: worried about this, sorry, and ran almost like a campaign 181 00:09:41,840 --> 00:09:45,240 Speaker 1: on autopilot. And that's what you know. And now she's 182 00:09:45,280 --> 00:09:48,040 Speaker 1: a governor of Arizona. That is the Democrat way of 183 00:09:48,080 --> 00:09:53,080 Speaker 1: warfare and politics. Now it's not stirring speeches and great ideas. 184 00:09:53,240 --> 00:09:58,320 Speaker 1: It's community organizers mobilizing the street mob on the day 185 00:09:58,360 --> 00:09:59,959 Speaker 1: they need them or in the weeks they need them 186 00:10:00,120 --> 00:10:03,320 Speaker 1: early voting to just squeak out the wins, and that's 187 00:10:03,320 --> 00:10:04,160 Speaker 1: all they care about it. 188 00:10:04,400 --> 00:10:06,800 Speaker 2: It's one of my favorite things in politics is applying 189 00:10:07,040 --> 00:10:14,120 Speaker 2: a analytics term from sports, really baseball win over replacement value. 190 00:10:14,200 --> 00:10:17,119 Speaker 2: And a lot of you guys out there in finance 191 00:10:17,280 --> 00:10:20,000 Speaker 2: know what I'm talking about because you try to analyze companies. 192 00:10:20,320 --> 00:10:23,320 Speaker 2: But basically, the way to think about it is how 193 00:10:23,400 --> 00:10:27,800 Speaker 2: much is the best shortstop in Major League Baseball worth 194 00:10:27,880 --> 00:10:32,960 Speaker 2: to your team versus a generic average guy in that position, 195 00:10:33,679 --> 00:10:35,800 Speaker 2: and you can do it everywhere you sell cars. You 196 00:10:35,840 --> 00:10:38,800 Speaker 2: can be like, hey, what's the value of the best 197 00:10:38,880 --> 00:10:43,360 Speaker 2: car salesman on the lot compared to the average show 198 00:10:43,400 --> 00:10:47,319 Speaker 2: that you're going to plug into that spot. Democrats right 199 00:10:47,400 --> 00:10:50,840 Speaker 2: now in twenty twenty two, and I think in twenty 200 00:10:50,920 --> 00:10:56,760 Speaker 2: twenty are better at voting for generic Democrat candidates than 201 00:10:56,840 --> 00:11:01,199 Speaker 2: Republicans are. And I'm not sure that's always historically been 202 00:11:01,240 --> 00:11:03,560 Speaker 2: the case. Like Katie Hobbs a perfect example of this 203 00:11:04,200 --> 00:11:07,520 Speaker 2: mousey uh and and these are adjectives that I'm going 204 00:11:07,600 --> 00:11:13,520 Speaker 2: to apply to her. Not dynamic, not particularly skilled at 205 00:11:13,800 --> 00:11:20,880 Speaker 2: driving interest, enthusiasm, or attention. Generic d John Fetterman couldn't 206 00:11:20,880 --> 00:11:25,200 Speaker 2: even speak. They built a better mouse trap to get 207 00:11:25,240 --> 00:11:28,040 Speaker 2: their voters out than Republicans have. 208 00:11:28,160 --> 00:11:29,960 Speaker 1: And this is this is one of the reasons why. 209 00:11:30,600 --> 00:11:33,080 Speaker 1: And I've seen this particularly with friends that you and 210 00:11:33,160 --> 00:11:37,120 Speaker 1: I know, Clay, who come from maybe a media background 211 00:11:37,120 --> 00:11:40,760 Speaker 1: of some sort, spent some time doing some Fox and 212 00:11:40,800 --> 00:11:44,120 Speaker 1: maybe have a podcast or whatever, and they get into 213 00:11:44,320 --> 00:11:46,959 Speaker 1: running in a congressional race, let's say, and you're like 214 00:11:47,040 --> 00:11:51,880 Speaker 1: this person smart and dynamic, and and they lose to 215 00:11:52,240 --> 00:11:55,360 Speaker 1: somebody who you know has all the charm of like 216 00:11:55,720 --> 00:11:58,040 Speaker 1: Uncle Fester from the Adams family, or yeah, like wait 217 00:11:58,080 --> 00:12:01,199 Speaker 1: what that? I even know who that Congress guy or 218 00:12:01,240 --> 00:12:03,760 Speaker 1: Congress gal is and they lose by you know, fifteen 219 00:12:03,840 --> 00:12:05,960 Speaker 1: or twenty points. You go, how did that happen? Well, 220 00:12:06,679 --> 00:12:11,120 Speaker 1: that person is a four or seven term or whatever 221 00:12:11,280 --> 00:12:16,000 Speaker 1: in machine politician. That's right. They know who's gonna show up. 222 00:12:16,200 --> 00:12:18,440 Speaker 1: They know how to buy off the people that are 223 00:12:18,440 --> 00:12:20,560 Speaker 1: gonna show up. They know which unions they have to 224 00:12:20,600 --> 00:12:23,400 Speaker 1: kiss up to and give little goodies to, and they 225 00:12:23,440 --> 00:12:26,439 Speaker 1: know who the best person to run dishonest attack ads 226 00:12:26,440 --> 00:12:29,719 Speaker 1: at the right time is, and boom, that's how they win. 227 00:12:29,800 --> 00:12:32,720 Speaker 1: It's not they've got great ideas and are so inspiring, 228 00:12:32,760 --> 00:12:33,280 Speaker 1: you know what I mean. 229 00:12:33,520 --> 00:12:38,040 Speaker 2: Yeah, that's why it's frustrating, because the best person oftentimes 230 00:12:38,160 --> 00:12:42,600 Speaker 2: does not win. It's the person who runs the best campaign. Yes, 231 00:12:42,679 --> 00:12:46,280 Speaker 2: and those are very different things. Yeah, absolutely, absolutely the case. 232 00:12:46,320 --> 00:12:49,280 Speaker 2: So that's I think. I think that's a learning point 233 00:12:49,440 --> 00:12:55,160 Speaker 2: or a recognition that Trump has had something of a 234 00:12:55,200 --> 00:12:59,960 Speaker 2: eureka moment after twenty twenty. And I know, don't you know, 235 00:13:00,080 --> 00:13:01,800 Speaker 2: we all know about all the other stuff too, But 236 00:13:02,559 --> 00:13:06,480 Speaker 2: doesn't matter now. What matters now is knowing what you 237 00:13:06,559 --> 00:13:09,439 Speaker 2: learned about twenty twenty and using it now to win 238 00:13:09,480 --> 00:13:13,000 Speaker 2: in twenty twenty four. We can't undo the past three years, 239 00:13:13,040 --> 00:13:16,040 Speaker 2: but we can change or at least, you know, win 240 00:13:16,320 --> 00:13:19,800 Speaker 2: for the next four team. At my Pillow talking about winning, 241 00:13:19,840 --> 00:13:22,800 Speaker 2: they're putting their best selling products for you forward now 242 00:13:22,840 --> 00:13:26,760 Speaker 2: for twenty five dollars. I mean, Clay was talking about 243 00:13:26,760 --> 00:13:28,600 Speaker 2: how he practice has to take out a second mortgage 244 00:13:28,600 --> 00:13:31,320 Speaker 2: to pay for Chick fil A. Prices are outrageous these days, 245 00:13:31,320 --> 00:13:34,240 Speaker 2: but guess what, twenty five dollars products at my Pillow, 246 00:13:34,320 --> 00:13:37,200 Speaker 2: the same pillows and the same products that you absolutely love. 247 00:13:37,520 --> 00:13:41,200 Speaker 1: As part of their extravaganza sale, you can save hundreds 248 00:13:41,240 --> 00:13:43,320 Speaker 1: of dollars. Oh gosh, Kerry's probably going to be buying 249 00:13:43,320 --> 00:13:45,400 Speaker 1: the stuff before the end of this ad. Hundreds of 250 00:13:45,440 --> 00:13:48,040 Speaker 1: dollars on new Geeza dream sheets. Good, good time to 251 00:13:48,080 --> 00:13:49,640 Speaker 1: update your sheets. By the way, they only last a 252 00:13:49,679 --> 00:13:52,599 Speaker 1: year or two. Pillows made with Giza cotton. Dozens of 253 00:13:52,640 --> 00:13:55,280 Speaker 1: other products, all twenty five dollars price tags on them, 254 00:13:55,559 --> 00:13:57,840 Speaker 1: even they're best selling. My slippers, I think we have 255 00:13:57,880 --> 00:14:01,439 Speaker 1: four pairs of those here. My slippers twenty five dollars 256 00:14:01,480 --> 00:14:04,880 Speaker 1: a pair ginger looks so cute on her My pillow bed. 257 00:14:04,920 --> 00:14:07,080 Speaker 1: By the way, it's fantastic. Get one for your dog. 258 00:14:07,559 --> 00:14:11,120 Speaker 1: Go online now, this is an extravaganza sale amazing prices. 259 00:14:11,400 --> 00:14:13,720 Speaker 1: Go to my pillow dot com. Use our names playan 260 00:14:13,840 --> 00:14:16,840 Speaker 1: buck as your promo code. That's my pillow dot com, 261 00:14:16,840 --> 00:14:18,040 Speaker 1: My pillow dot com. 262 00:14:18,240 --> 00:14:18,760 Speaker 2: Click on the. 263 00:14:18,760 --> 00:14:22,200 Speaker 1: Radio listener specials Square for these twenty five dollar deals. 264 00:14:22,240 --> 00:14:25,200 Speaker 1: You'll also get free shipping on orders over seventy five dollars. 265 00:14:25,280 --> 00:14:26,800 Speaker 1: Use the promo code Clay. 266 00:14:26,680 --> 00:14:32,240 Speaker 2: And Buck News. You can count on and some laughs too. 267 00:14:32,520 --> 00:14:34,520 Speaker 2: Clay Travis at Buck Sexton. 268 00:14:34,640 --> 00:14:37,960 Speaker 4: Find them on the free iHeartRadio app or wherever you 269 00:14:38,080 --> 00:14:39,160 Speaker 4: get your podcasts. 270 00:14:39,280 --> 00:14:42,200 Speaker 2: Welcome back in Clay Travis Buck Sexton Show. We got 271 00:14:42,200 --> 00:14:44,800 Speaker 2: a couple of you went away in on topics, we've 272 00:14:44,840 --> 00:14:47,840 Speaker 2: been discussing Kelly and Akron. We were talking about Leah 273 00:14:47,840 --> 00:14:51,160 Speaker 2: Thomas Man pretending to be a woman, not being allowed 274 00:14:51,160 --> 00:14:54,920 Speaker 2: to swim, and the fact that certainly once males go 275 00:14:55,040 --> 00:14:58,840 Speaker 2: through puberty there is a substantial physical advantage. But you 276 00:14:58,920 --> 00:15:02,880 Speaker 2: say you've researched even pre puberty the difference between boys 277 00:15:02,880 --> 00:15:05,240 Speaker 2: and girls. I was just kind of curious what the 278 00:15:05,320 --> 00:15:06,240 Speaker 2: data says on that. 279 00:15:07,240 --> 00:15:15,520 Speaker 5: Well, I did my pre PhD Master thesis on the 280 00:15:15,640 --> 00:15:22,200 Speaker 5: pre pubifferent effect of strength training on boys, and the 281 00:15:22,200 --> 00:15:25,800 Speaker 5: theory was that because they did not have testosterone yet, 282 00:15:26,320 --> 00:15:31,480 Speaker 5: that they could not gain any you know, additional strength 283 00:15:32,080 --> 00:15:37,160 Speaker 5: from strength training in that conveying weightlifting and research back 284 00:15:37,320 --> 00:15:41,040 Speaker 5: then and that's in the nineteen eighties showed that no, 285 00:15:41,160 --> 00:15:44,640 Speaker 5: that was false. They still could But I just wanted 286 00:15:44,640 --> 00:15:47,800 Speaker 5: to make another comment because I swam at Snafford in 287 00:15:47,840 --> 00:15:52,200 Speaker 5: the nineteen seventies and a parallel I want to make 288 00:15:52,400 --> 00:15:56,400 Speaker 5: about politics in sports. So in nineteen seventy six, if 289 00:15:56,440 --> 00:15:59,400 Speaker 5: you can picture the Olympics in Montreal with the East 290 00:15:59,520 --> 00:16:05,840 Speaker 5: German women showed up looking like men in obliterated the 291 00:16:06,080 --> 00:16:08,680 Speaker 5: women's Olympic team. And I had a couple of teammates 292 00:16:08,680 --> 00:16:12,560 Speaker 5: at Stamford who are on that team, and you know, 293 00:16:12,720 --> 00:16:16,120 Speaker 5: the alarms were set by the world to say this 294 00:16:16,320 --> 00:16:20,200 Speaker 5: is not right. So drug testing was put into place 295 00:16:20,960 --> 00:16:24,600 Speaker 5: after that point to make sure that this didn't happen again. 296 00:16:25,040 --> 00:16:29,160 Speaker 5: But here we are again. I had been waiting for 297 00:16:29,280 --> 00:16:32,280 Speaker 5: whether or not Leah Thomas and others were going to 298 00:16:32,280 --> 00:16:35,360 Speaker 5: be allowed to compete in the Olympics at the discretion 299 00:16:35,480 --> 00:16:41,520 Speaker 5: of the IOC based on identifying as women. And I 300 00:16:41,560 --> 00:16:46,200 Speaker 5: guess my thought is we and I'm glad that Leah 301 00:16:46,320 --> 00:16:49,200 Speaker 5: is not, But I think that they need to do 302 00:16:49,960 --> 00:16:52,920 Speaker 5: if we've done these and still in the Olympics, there's 303 00:16:52,960 --> 00:16:56,200 Speaker 5: a lot of drug testing that goes on and everything. 304 00:16:56,760 --> 00:17:00,280 Speaker 5: I think there needs to be genetic drug testing that 305 00:17:00,360 --> 00:17:05,200 Speaker 5: we say that boys born at birth, because as I said, 306 00:17:05,240 --> 00:17:09,400 Speaker 5: my research showed that it doesn't matter pre puberty. Why 307 00:17:09,440 --> 00:17:12,200 Speaker 5: are boys records at least in swimming as all I 308 00:17:12,240 --> 00:17:15,000 Speaker 5: can speak to. Why are they still faster at the 309 00:17:15,080 --> 00:17:18,359 Speaker 5: eight and under and ten and under age? It doesn't 310 00:17:18,400 --> 00:17:21,840 Speaker 5: dramatically shift at twelve and fourteen years of age. They're 311 00:17:21,920 --> 00:17:28,399 Speaker 5: just stronger. So therefore, at no point should males be competing. 312 00:17:28,520 --> 00:17:30,479 Speaker 5: I don't care if they're pre pubescent or not. They 313 00:17:30,480 --> 00:17:33,920 Speaker 5: should not be competing against females. 314 00:17:34,600 --> 00:17:37,119 Speaker 2: Oh, it's interesting. I appreciate your call. I don't know 315 00:17:37,320 --> 00:17:42,280 Speaker 2: very much about swimming, but it is interesting that doping 316 00:17:42,600 --> 00:17:48,119 Speaker 2: is condemned completely as cheating. Being a man pretending to 317 00:17:48,119 --> 00:17:51,359 Speaker 2: be a woman is not condemned. This cheating in the 318 00:17:51,440 --> 00:17:53,919 Speaker 2: NCAA right now, we've. 319 00:17:53,760 --> 00:17:56,160 Speaker 1: Been talking about how this economy is tough. Right now. 320 00:17:56,200 --> 00:17:59,040 Speaker 1: Things are really expensive, so wherever you can find savings 321 00:17:59,040 --> 00:18:01,080 Speaker 1: while you're getting great is something you need to pay 322 00:18:01,119 --> 00:18:03,479 Speaker 1: attention to. So I want you to go check out 323 00:18:03,520 --> 00:18:08,760 Speaker 1: govx dot com. Goovx dot com special website created for 324 00:18:08,800 --> 00:18:12,280 Speaker 1: those who serve our country and our communities. Includes current 325 00:18:12,320 --> 00:18:16,639 Speaker 1: and former military, law enforcement, firefighters, emergency medical professionals, educators, 326 00:18:16,640 --> 00:18:20,159 Speaker 1: and other government service personnel. Kary and I have been 327 00:18:20,200 --> 00:18:22,520 Speaker 1: on it. We've gotten some great deals. And when you 328 00:18:22,600 --> 00:18:25,600 Speaker 1: see the products that they have and the deals you 329 00:18:25,640 --> 00:18:28,520 Speaker 1: can get, you realize this is a really fantastic way 330 00:18:28,520 --> 00:18:30,360 Speaker 1: to save some money while I'm buying some really cool 331 00:18:30,359 --> 00:18:32,960 Speaker 1: stuff right now. You can go to govex dot com, 332 00:18:32,960 --> 00:18:35,520 Speaker 1: find out if you qualify, become a member and join 333 00:18:35,560 --> 00:18:39,840 Speaker 1: the other eight million who already are. Go to govxgovx 334 00:18:39,880 --> 00:18:42,840 Speaker 1: dot com, use the code buck in the shopping cart. 335 00:18:43,520 --> 00:18:46,639 Speaker 1: Get an extra fifteen dollars off your first order. That's 336 00:18:46,800 --> 00:18:51,280 Speaker 1: goovx dot com. Use promo code buck savings for those 337 00:18:51,280 --> 00:18:54,400 Speaker 1: who serve. Welcome back in to Clay and Buck. One 338 00:18:54,440 --> 00:18:58,760 Speaker 1: thing that is certainly still in the mix and the 339 00:18:58,800 --> 00:19:01,400 Speaker 1: conversation about how things are going to go in this 340 00:19:01,760 --> 00:19:05,879 Speaker 1: election cycle, and just the trajectory the direction of the 341 00:19:05,920 --> 00:19:13,480 Speaker 1: country right now. Is this ongoing pro Palestinian pro Hamas 342 00:19:14,119 --> 00:19:20,560 Speaker 1: left wing kind of mini riot situation. The protests, you know, 343 00:19:20,920 --> 00:19:24,199 Speaker 1: doing all kinds of crazy stuff. And the latest this 344 00:19:24,240 --> 00:19:28,639 Speaker 1: happened in New York City. You had and this is 345 00:19:28,960 --> 00:19:32,359 Speaker 1: all reported pretty extensively in the New York Post. The 346 00:19:32,400 --> 00:19:38,479 Speaker 1: Brooklyn Museum director and Jewish board members homes vandalized with 347 00:19:38,600 --> 00:19:43,280 Speaker 1: anti Semitic graffiti, calling her I thought, this is so 348 00:19:43,320 --> 00:19:46,160 Speaker 1: interesting because it goes right to what we say, Clay 349 00:19:46,920 --> 00:19:51,600 Speaker 1: they wrote, and Pastor Nak they splattered blood all over 350 00:19:51,880 --> 00:19:55,119 Speaker 1: her front steps and you know, all over her house 351 00:19:56,000 --> 00:20:04,800 Speaker 1: and Brooklyn Museum white supremacist zionistice. Notice that they say 352 00:20:05,280 --> 00:20:07,440 Speaker 1: exactly what we've told you has been at the heart 353 00:20:07,440 --> 00:20:12,120 Speaker 1: of this all along. The whole pro Hamas thing is 354 00:20:12,160 --> 00:20:17,280 Speaker 1: for the left, an extension of BLM, which is really 355 00:20:18,200 --> 00:20:24,800 Speaker 1: racial Marxism. They view Israel as a white supremacist power 356 00:20:25,000 --> 00:20:28,320 Speaker 1: and as this is as a racial conflict first and foremost. 357 00:20:28,800 --> 00:20:30,840 Speaker 1: We've said this, and now they're even writing things like 358 00:20:31,080 --> 00:20:36,000 Speaker 1: white supremacist Zionist. And you could try to sit down 359 00:20:36,000 --> 00:20:39,560 Speaker 1: with these idiot protesters and explain to them that there 360 00:20:39,600 --> 00:20:43,960 Speaker 1: are the Ashkenazi Jews, who are Jews of usually Eastern 361 00:20:44,000 --> 00:20:46,920 Speaker 1: but European origin. There are Sephardic Jews who are Spanish 362 00:20:46,960 --> 00:20:51,119 Speaker 1: and Mediterranean Basin origin. There are Mizrahi Jews who are 363 00:20:51,160 --> 00:20:54,800 Speaker 1: Jews from the Mid East region. I mean, there are 364 00:20:54,880 --> 00:20:59,720 Speaker 1: Jews that were expelled in the twentieth century from a 365 00:20:59,720 --> 00:21:04,359 Speaker 1: whole range of Muslim majority countries who have come to Israel. 366 00:21:04,440 --> 00:21:07,760 Speaker 1: So there a lot. And then there's Ethiopian Jews we've 367 00:21:07,760 --> 00:21:12,000 Speaker 1: discussed before. Definitely not white, so they don't even care 368 00:21:12,240 --> 00:21:16,040 Speaker 1: about all of those complexities. They still view them clay 369 00:21:16,200 --> 00:21:20,880 Speaker 1: as anyone who is associated with I guess you could 370 00:21:20,920 --> 00:21:25,040 Speaker 1: say the you know, the Jewish. I don't know, it's 371 00:21:25,040 --> 00:21:27,639 Speaker 1: just Jewish museum. This isn't even really political, right, But 372 00:21:27,680 --> 00:21:31,359 Speaker 1: anyone who's a prominent Jewish American who's supportive of Israel 373 00:21:31,440 --> 00:21:35,480 Speaker 1: in this can be targeted as being a white supremacist. 374 00:21:35,480 --> 00:21:37,560 Speaker 1: I mean there are brothers. There are red haired, blue 375 00:21:37,560 --> 00:21:40,240 Speaker 1: eyed Palestinians. I've met them, I've talked to them, I've 376 00:21:40,240 --> 00:21:41,760 Speaker 1: been in the West Bank. Like this is a thing 377 00:21:41,800 --> 00:21:43,280 Speaker 1: that exists too, But put that aside. 378 00:21:43,920 --> 00:21:46,800 Speaker 2: Yeah, and this, to me, we were talking about the 379 00:21:46,840 --> 00:21:50,160 Speaker 2: thing that makes me nervous. And as we sit here, 380 00:21:50,320 --> 00:21:52,640 Speaker 2: whatever it is, four and a half months from the 381 00:21:52,720 --> 00:21:57,360 Speaker 2: actual election day, Trump has got a lot of routes 382 00:21:57,760 --> 00:22:00,960 Speaker 2: to potentially being elected president. He could pull off a 383 00:22:01,040 --> 00:22:07,399 Speaker 2: huge upset in Virginia, Maine, New Hampshire, New Mexico, a 384 00:22:07,520 --> 00:22:10,480 Speaker 2: state like that, or New York or New Jersey certainly, 385 00:22:10,520 --> 00:22:15,320 Speaker 2: which would just slam the door. Biden has one route, 386 00:22:15,480 --> 00:22:18,080 Speaker 2: and right now, if you look at the map for him, 387 00:22:18,720 --> 00:22:22,199 Speaker 2: he's not gonna flip North Carolina, which was the closest 388 00:22:22,760 --> 00:22:26,840 Speaker 2: state that Trump won. Texas and Florida aren't in play. 389 00:22:27,119 --> 00:22:31,240 Speaker 2: Those are gonna be comfortable Trump wins. They have to 390 00:22:31,280 --> 00:22:35,400 Speaker 2: win in the Midwest. And if you look at everything 391 00:22:35,400 --> 00:22:39,040 Speaker 2: that Joe Biden is doing, it's basically a campaign to 392 00:22:39,080 --> 00:22:43,920 Speaker 2: make sure he wins Michigan. My concern is if you've 393 00:22:43,960 --> 00:22:47,360 Speaker 2: got a billion dollars, which is probably what Joe Biden's 394 00:22:47,400 --> 00:22:50,760 Speaker 2: gonna end up spend having to spend, and you only 395 00:22:50,800 --> 00:22:55,040 Speaker 2: have one way to win. They're gonna pump three hundred 396 00:22:55,080 --> 00:22:58,400 Speaker 2: million dollars into Michigan. They're gonna pump three hundred million 397 00:22:58,480 --> 00:23:01,400 Speaker 2: dollars into Pennsylvania and they're gonna pump three hundred million 398 00:23:01,440 --> 00:23:04,439 Speaker 2: dollars into Wisconsin, and they're gonna find a way to 399 00:23:04,520 --> 00:23:09,560 Speaker 2: try to win those states, and then they're gonna win. Unfortunately, 400 00:23:09,600 --> 00:23:11,919 Speaker 2: based on the polling data right now, those of you 401 00:23:12,000 --> 00:23:15,720 Speaker 2: listening to us in Nebraska, they're gonna win Omaha. It 402 00:23:15,800 --> 00:23:19,560 Speaker 2: appears as they did in twenty sixteen. And if that 403 00:23:19,680 --> 00:23:23,520 Speaker 2: math happens Biden gets elected president to seventy to two 404 00:23:23,600 --> 00:23:29,879 Speaker 2: sixty eight, I think again, maybe it's gonna change. Maybe 405 00:23:29,880 --> 00:23:32,800 Speaker 2: some of the states are gonna be more receptive to 406 00:23:32,840 --> 00:23:35,000 Speaker 2: Biden four and a half months from now than they 407 00:23:35,000 --> 00:23:40,280 Speaker 2: are right now. I don't think so. Sometimes only having 408 00:23:40,440 --> 00:23:44,880 Speaker 2: one way to win makes it way easier to win 409 00:23:45,440 --> 00:23:48,400 Speaker 2: because you just say, okay, this is like Trump right now. 410 00:23:48,440 --> 00:23:49,920 Speaker 2: They can be looking. They can say, hey, we can 411 00:23:49,920 --> 00:23:51,960 Speaker 2: make a run at Minnesota. We can make a run 412 00:23:52,000 --> 00:23:54,119 Speaker 2: at New Jersey, or we can make a run at 413 00:23:54,160 --> 00:23:57,280 Speaker 2: Virginia or Maine or New Hampshire. They can put a 414 00:23:57,280 --> 00:24:00,280 Speaker 2: lot of chips on the board and hope that some 415 00:24:00,320 --> 00:24:03,760 Speaker 2: of these pay off. Biden doesn't have that option right now. 416 00:24:04,880 --> 00:24:07,160 Speaker 2: He's going to spend a billion dollars on the big 417 00:24:07,200 --> 00:24:10,560 Speaker 2: ten states. And if you pay attention to the way 418 00:24:10,560 --> 00:24:16,399 Speaker 2: that he's addressing Israel and uh and and Palestine. Everything 419 00:24:16,520 --> 00:24:20,879 Speaker 2: is about winning the state of Michigan. He's basically running 420 00:24:20,880 --> 00:24:25,920 Speaker 2: a governor's race. And I'm afraid that if they pour 421 00:24:26,080 --> 00:24:28,760 Speaker 2: enough money in there, they're going to be able to 422 00:24:28,800 --> 00:24:34,000 Speaker 2: convince enough people that they can win a tiny race. 423 00:24:34,160 --> 00:24:35,959 Speaker 2: So you asked, I think it's a good question. I 424 00:24:35,960 --> 00:24:38,040 Speaker 2: think right now, sitting four and a half months out, 425 00:24:38,600 --> 00:24:41,040 Speaker 2: that's what the Biden team sees. They see the board, 426 00:24:41,080 --> 00:24:43,359 Speaker 2: they know the data, they're gonna lie. They're gonna say, oh, 427 00:24:43,359 --> 00:24:46,280 Speaker 2: we're gonna win North Carolina. We're gonna pay attention to 428 00:24:46,280 --> 00:24:51,520 Speaker 2: where they spend money. They're gonna spend three hundred million dollars. Yeah, 429 00:24:52,040 --> 00:24:55,080 Speaker 2: I bet in each of them watch their dollars. Is 430 00:24:55,080 --> 00:24:58,040 Speaker 2: a good way to approach this. Where are they buying ads? Now? 431 00:24:58,080 --> 00:25:01,480 Speaker 2: Now what and there's some positive look. You're gonna make 432 00:25:01,600 --> 00:25:04,280 Speaker 2: them have to spend money in Virginia and maybe you 433 00:25:04,320 --> 00:25:07,679 Speaker 2: make them have to spend money in Minnesota and states 434 00:25:07,720 --> 00:25:10,800 Speaker 2: that should be comfortably in their camp. That's money that 435 00:25:10,840 --> 00:25:13,119 Speaker 2: you take away from them being able to spend in 436 00:25:13,119 --> 00:25:16,040 Speaker 2: the big ten. But I think they're gonna have enough money, 437 00:25:16,600 --> 00:25:18,360 Speaker 2: and that money is going to pour into the big 438 00:25:18,400 --> 00:25:21,400 Speaker 2: ten states. That's their pathway. So we can sit here 439 00:25:21,400 --> 00:25:23,520 Speaker 2: four and a half months out and we can talk 440 00:25:23,520 --> 00:25:27,399 Speaker 2: about a lot of different permutations, a lot of different ways. 441 00:25:27,440 --> 00:25:32,800 Speaker 2: Trump could win a comfortable election. Biden can't. He's going 442 00:25:32,880 --> 00:25:36,040 Speaker 2: to have to win run the table on those big 443 00:25:36,080 --> 00:25:39,760 Speaker 2: ten states. And if you only have one way to win, 444 00:25:41,040 --> 00:25:43,600 Speaker 2: how nasty are you going to be to try to 445 00:25:43,640 --> 00:25:45,720 Speaker 2: get that done. I think you're seeing it today in 446 00:25:45,760 --> 00:25:48,359 Speaker 2: the way that they're responding to what Trump said about Milwaukee. 447 00:25:48,960 --> 00:25:52,200 Speaker 2: Trump said, Milwaukee's a dangerous place to where the RNC 448 00:25:52,400 --> 00:25:53,600 Speaker 2: is going to be set up. We're going to be 449 00:25:53,680 --> 00:25:56,000 Speaker 2: up there for a full week, and they're trying to 450 00:25:56,040 --> 00:25:59,040 Speaker 2: turn it into Trump said Milwaukee is the worst city 451 00:25:59,080 --> 00:26:01,240 Speaker 2: that's ever existed in a American history because it's a 452 00:26:01,280 --> 00:26:03,359 Speaker 2: swinging state and a swing city. 453 00:26:03,800 --> 00:26:05,719 Speaker 1: Don't worry. I'll be there to protect Clay and keep 454 00:26:05,800 --> 00:26:06,520 Speaker 1: him out of trouble. 455 00:26:06,600 --> 00:26:09,640 Speaker 2: So I don't want to throw him under I don't 456 00:26:09,640 --> 00:26:11,520 Speaker 2: want to throw him under the bus. I would hate 457 00:26:11,520 --> 00:26:13,879 Speaker 2: to do that, but I'm definitely going to throw him 458 00:26:13,960 --> 00:26:17,280 Speaker 2: under the bus. Jesse Kelly, our friend has been complaining 459 00:26:17,320 --> 00:26:19,399 Speaker 2: about the fact that I have us all in Milwaukee 460 00:26:19,400 --> 00:26:25,680 Speaker 2: for the whole week. Oh, Jesse's been saying you yeah. 461 00:26:25,720 --> 00:26:27,240 Speaker 2: I think we may have said this on the air before, 462 00:26:27,280 --> 00:26:28,840 Speaker 2: so but but we may have to get him on 463 00:26:29,600 --> 00:26:33,560 Speaker 2: to defend uh, to defend his attacks. I wanted us 464 00:26:33,600 --> 00:26:37,639 Speaker 2: to be there in Milwaukee, in the summer, beautiful city 465 00:26:37,680 --> 00:26:40,320 Speaker 2: that it is. We sold out the paps theater. I 466 00:26:40,440 --> 00:26:44,359 Speaker 2: love is at Milwaukeeans. I love all of you Milwaukeeans. 467 00:26:44,400 --> 00:26:47,240 Speaker 2: And if that's the wrong word, you got. 468 00:26:47,080 --> 00:26:49,320 Speaker 1: To remember he's a Texan, So you might think, why 469 00:26:49,359 --> 00:26:53,000 Speaker 1: would a Texan have anything against Milwaukee, But really I 470 00:26:53,000 --> 00:26:57,320 Speaker 1: believe he's from Montana and as we know, sometimes that 471 00:26:57,440 --> 00:27:01,080 Speaker 1: kind of regional rivalry Canaan that. 472 00:27:01,280 --> 00:27:03,840 Speaker 2: It's actually worse than that buck. He's an Ohio State fan. 473 00:27:04,720 --> 00:27:08,240 Speaker 2: He hates people from Wisconsin because he's afraid that the 474 00:27:08,280 --> 00:27:10,360 Speaker 2: Badgers every now and then are going to take down 475 00:27:10,359 --> 00:27:12,919 Speaker 2: his Buckeye. So I hate to blast Jesse Kelly like this, 476 00:27:13,320 --> 00:27:16,639 Speaker 2: But in addition to seventy five dollars shots, I'm a 477 00:27:16,680 --> 00:27:18,600 Speaker 2: man of the people. I wanted to be there. I 478 00:27:18,640 --> 00:27:22,160 Speaker 2: wanted to be among you. Jesse Kelly turning up his nose, 479 00:27:22,600 --> 00:27:25,040 Speaker 2: turning up his nose at the fine people of Milwaukee, 480 00:27:25,160 --> 00:27:27,520 Speaker 2: especially Milwaukee in the summer. I'm not gonna lie. 481 00:27:27,720 --> 00:27:29,800 Speaker 1: I don't want to be any all right, we have to, 482 00:27:29,960 --> 00:27:31,960 Speaker 1: you know what, We're gonna have to invite Jesse on 483 00:27:32,040 --> 00:27:36,040 Speaker 1: tomorrow to answer these scurreless charges on the air clay. 484 00:27:36,080 --> 00:27:39,480 Speaker 1: We cannot we cannot have you calling Jesse out throwing 485 00:27:39,560 --> 00:27:41,320 Speaker 1: him under the bus. It's not easy because he's like 486 00:27:41,400 --> 00:27:44,480 Speaker 1: nine feet tall, so you have to really push. 487 00:27:45,200 --> 00:27:47,840 Speaker 2: A real obstacle to the bus. We're throwing him under 488 00:27:47,840 --> 00:27:50,280 Speaker 2: the bus. We're creating a major major. 489 00:27:50,080 --> 00:27:52,000 Speaker 1: Is more damage to the bus than you do to him, 490 00:27:52,400 --> 00:27:52,879 Speaker 1: no doubt. 491 00:27:53,600 --> 00:27:55,280 Speaker 2: I want to tell you, by the way, in addition 492 00:27:55,320 --> 00:27:58,719 Speaker 2: to loving Milwaukee, I love these guys tunnel the towers. 493 00:27:58,720 --> 00:28:01,879 Speaker 2: They do incredible work. Though Frank Siller went on an 494 00:28:01,880 --> 00:28:05,760 Speaker 2: OutKick show recently and came after my golf game. Deserved 495 00:28:05,800 --> 00:28:08,880 Speaker 2: a tax on my golf game. One week from today, 496 00:28:09,280 --> 00:28:12,880 Speaker 2: I'm playing in the live pro am, and I am 497 00:28:13,000 --> 00:28:15,600 Speaker 2: not optimistic that I'm going to perform at a high level. 498 00:28:15,720 --> 00:28:17,600 Speaker 2: Just say that, if you're going to be out there 499 00:28:17,600 --> 00:28:19,560 Speaker 2: at the live pro am, maybe taking a couple of 500 00:28:19,600 --> 00:28:23,000 Speaker 2: steps back on my t shots, but I love everything 501 00:28:23,040 --> 00:28:25,080 Speaker 2: that Frank Siller does. I'm gonna be up in October 502 00:28:25,119 --> 00:28:28,720 Speaker 2: at his Big Golf charity event helping raise money. Buck 503 00:28:28,760 --> 00:28:31,840 Speaker 2: and I have both donated to this organization. It's fabulous. 504 00:28:32,080 --> 00:28:36,199 Speaker 2: Tunnel the Towers Foundation are honoring hero first responders and 505 00:28:36,280 --> 00:28:39,760 Speaker 2: service members who serve our communities and our country. Heroes 506 00:28:39,840 --> 00:28:43,480 Speaker 2: like Buffalo firefighter Jason Arnau and his family. Arnault was 507 00:28:43,600 --> 00:28:48,360 Speaker 2: killed while protecting his community battling warehouse fire. He left 508 00:28:48,400 --> 00:28:52,560 Speaker 2: behind his wife and young daughter in their absolute darkest hour. 509 00:28:52,680 --> 00:28:55,840 Speaker 2: Tunnel to Towers provided Arnaut's wife and daughter with a 510 00:28:55,880 --> 00:29:00,120 Speaker 2: mortgage free home. The foundation lifted a financial burden, enabling 511 00:29:00,160 --> 00:29:02,600 Speaker 2: them to stay in the home where they made memories 512 00:29:02,760 --> 00:29:06,680 Speaker 2: with their father, with their dad, with their hero. Join 513 00:29:06,720 --> 00:29:08,800 Speaker 2: Tunnel to Towers on its mission to do good and 514 00:29:08,840 --> 00:29:12,360 Speaker 2: support the families of falling first responders like Jason Arno, 515 00:29:12,840 --> 00:29:16,320 Speaker 2: gold Star families with young kids, severely injured service members, 516 00:29:16,360 --> 00:29:19,680 Speaker 2: homeless veterans. Join us in donating eleven dollars a month 517 00:29:19,720 --> 00:29:22,560 Speaker 2: at t twot dot org. That's t the number two 518 00:29:22,920 --> 00:29:23,960 Speaker 2: t dot org. 519 00:29:24,600 --> 00:29:27,400 Speaker 4: Peek out with the guys on the Sunday Hang with 520 00:29:27,520 --> 00:29:31,320 Speaker 4: Clay and Buck podcast, a new episode every Sunday. Find 521 00:29:31,360 --> 00:29:34,760 Speaker 4: it on the iHeart app or wherever you get your podcasts. 522 00:29:35,400 --> 00:29:39,040 Speaker 2: Welcome back in Clay Travis buck Sexton Show. Joe Biden 523 00:29:39,160 --> 00:29:42,040 Speaker 2: has begun to speak now right as the show is ending, 524 00:29:42,200 --> 00:29:44,680 Speaker 2: so maybe we'll have some clips from what he says 525 00:29:44,720 --> 00:29:49,000 Speaker 2: in Italy tomorrow, but just updating you on that earlier today, 526 00:29:49,040 --> 00:29:52,920 Speaker 2: Trump speaking in Washington, d C. It is somewhere around 527 00:29:53,320 --> 00:29:57,400 Speaker 2: eight forty five eight point fifty, I guess in Italy 528 00:29:57,520 --> 00:30:00,360 Speaker 2: right now, So a late evening for by and we'll 529 00:30:00,360 --> 00:30:03,120 Speaker 2: see what he ends up saying there. Buck. I flew 530 00:30:03,200 --> 00:30:06,560 Speaker 2: back from DC yesterday because I was up looking at 531 00:30:06,560 --> 00:30:10,400 Speaker 2: colleges with my sixteen year old and the Trump Force 532 00:30:10,520 --> 00:30:14,400 Speaker 2: one plane landed while we were sitting there at National 533 00:30:14,440 --> 00:30:18,520 Speaker 2: Airport in DC, and everybody went running to the windows 534 00:30:18,560 --> 00:30:21,479 Speaker 2: to go see this massive seven forty seven I think 535 00:30:21,560 --> 00:30:24,800 Speaker 2: basically that Trump has that's retrofitted for him to be 536 00:30:24,840 --> 00:30:27,440 Speaker 2: able to fly all over the country and frankly all 537 00:30:27,480 --> 00:30:31,680 Speaker 2: over the world. And as I was standing there, I 538 00:30:31,720 --> 00:30:37,520 Speaker 2: saw my reflection in the glass. I yes Tuesday when 539 00:30:37,560 --> 00:30:39,400 Speaker 2: I was touring schools, and I don't know if people 540 00:30:39,480 --> 00:30:42,640 Speaker 2: can tell on video because I've got a headset on 541 00:30:42,720 --> 00:30:44,960 Speaker 2: most of the time when we do this show for 542 00:30:45,040 --> 00:30:48,280 Speaker 2: our VIPs and even on the social media cclipse you 543 00:30:48,280 --> 00:30:51,080 Speaker 2: can't tell. I decided because we had a little bit 544 00:30:51,120 --> 00:30:55,200 Speaker 2: of time to kill between college tours. We ate lunch 545 00:30:55,320 --> 00:30:57,760 Speaker 2: and there was a barber shop right there, and I 546 00:30:57,880 --> 00:31:01,400 Speaker 2: went and I sat down in the barber chair. I 547 00:31:01,400 --> 00:31:03,160 Speaker 2: don't know how many times has this happened to you 548 00:31:03,240 --> 00:31:07,520 Speaker 2: in your life, but about five minutes into the haircut, 549 00:31:07,760 --> 00:31:10,720 Speaker 2: I was like, uh oh, this is not going well 550 00:31:10,760 --> 00:31:11,080 Speaker 2: at all. 551 00:31:11,520 --> 00:31:15,080 Speaker 1: I will tell you when I lived in Miami, the 552 00:31:15,160 --> 00:31:17,480 Speaker 1: city downtown. Now I live in Miami Beach, which really 553 00:31:17,480 --> 00:31:19,719 Speaker 1: feels like a different city. It's almost like a Dallas 554 00:31:19,760 --> 00:31:23,400 Speaker 1: Fort Worth kind of situation or Minneapolis Saint Paul. You 555 00:31:23,440 --> 00:31:25,760 Speaker 1: got to cross the causeway. It's a long causeway. Anyway, 556 00:31:26,040 --> 00:31:28,120 Speaker 1: when I was living in downtown, I went in and 557 00:31:28,800 --> 00:31:31,520 Speaker 1: this guy, he was a young gentleman, maybe twenty one 558 00:31:31,600 --> 00:31:35,640 Speaker 1: years old from Venezuela. He did have face tattoos, like 559 00:31:35,680 --> 00:31:38,320 Speaker 1: tattoos on his face, including all over his neck. But 560 00:31:38,400 --> 00:31:41,479 Speaker 1: you know, he's very, very friendly, and we're sitting there 561 00:31:41,480 --> 00:31:44,040 Speaker 1: and we're talking and he just asks me. He's like, 562 00:31:44,120 --> 00:31:46,240 Speaker 1: do you like Donald Trump. Like while he's beginning to 563 00:31:46,280 --> 00:31:48,040 Speaker 1: cut my hair. I don't know, maybe he looked at 564 00:31:48,040 --> 00:31:49,520 Speaker 1: me and thought, this guy looks like i' mean which 565 00:31:49,560 --> 00:31:51,200 Speaker 1: the fair guests like, I think, if you look at me, 566 00:31:51,200 --> 00:31:53,560 Speaker 1: you're like, this guy probably likes Donald Trump. I mean, 567 00:31:53,720 --> 00:31:55,640 Speaker 1: just I'm self aware, Like I get it right, you know, 568 00:31:55,680 --> 00:31:57,640 Speaker 1: this guy probably likes Donald Trump. And you know, plays 569 00:31:57,720 --> 00:32:00,120 Speaker 1: rocket sports and war's boat shoes and all true. Yeah, 570 00:32:00,400 --> 00:32:02,640 Speaker 1: and uh and and you know he's he's talking to me. 571 00:32:02,680 --> 00:32:05,600 Speaker 1: He's got a pretty thick accent. And and then I said, yeah, no, 572 00:32:05,680 --> 00:32:07,440 Speaker 1: I like Donald Trump. And I mean, I'm telling you 573 00:32:08,000 --> 00:32:10,360 Speaker 1: he he uh like, I said, twenty one year old 574 00:32:10,360 --> 00:32:13,480 Speaker 1: guy immigrant from Venezuela, and I showed him a photo 575 00:32:13,600 --> 00:32:15,280 Speaker 1: was one of it was one of our photos from 576 00:32:15,320 --> 00:32:17,560 Speaker 1: mar A Lago, you know, where you me and standing 577 00:32:17,560 --> 00:32:19,840 Speaker 1: with Trump. I showed it to him and he flips out. 578 00:32:20,160 --> 00:32:23,160 Speaker 1: He's like this is this is amazing. And he goes 579 00:32:23,200 --> 00:32:24,840 Speaker 1: back and he gets his buddies and he wants to 580 00:32:24,880 --> 00:32:26,680 Speaker 1: show them the photo with Trump and he's like, oh 581 00:32:26,680 --> 00:32:28,240 Speaker 1: my god, you know Trump, and he's like, I love 582 00:32:28,280 --> 00:32:31,200 Speaker 1: Trump and we're just happened this great sort of bro 583 00:32:31,360 --> 00:32:34,000 Speaker 1: to bro moment, and then the haircut begins, and he 584 00:32:34,080 --> 00:32:38,040 Speaker 1: proceeds to start at the back of my skull and 585 00:32:38,280 --> 00:32:41,880 Speaker 1: shave like a like he's going to land a crop 586 00:32:41,960 --> 00:32:44,640 Speaker 1: duster back there or something. Just shaves a lot all 587 00:32:44,680 --> 00:32:45,480 Speaker 1: the way back up the back. 588 00:32:45,640 --> 00:32:49,200 Speaker 2: You can see your hair collapse behind you in the mirror, like, yes, 589 00:32:49,280 --> 00:32:52,200 Speaker 2: this is going on. Yeah, went went down to whatever 590 00:32:52,240 --> 00:32:54,080 Speaker 2: a zero is, like, went down and what he was 591 00:32:54,120 --> 00:32:56,520 Speaker 2: going to do, this is very very common in Miami, 592 00:32:56,760 --> 00:33:00,840 Speaker 2: was give me like a fade, kind of a bowl cut, 593 00:33:00,840 --> 00:33:02,840 Speaker 2: but you know, a fade where it's basically shaved and 594 00:33:02,840 --> 00:33:05,760 Speaker 2: then gets longer and longer. It was, Honestly, he's such 595 00:33:05,760 --> 00:33:08,080 Speaker 2: a nice gentleman. For me, it was the worst haircut 596 00:33:08,120 --> 00:33:12,680 Speaker 2: I've ever had. What happened? You try to adjust it 597 00:33:12,720 --> 00:33:14,440 Speaker 2: in the middle or you just let him go. He 598 00:33:14,680 --> 00:33:16,000 Speaker 2: liked Trump. He's a namigrun. 599 00:33:16,080 --> 00:33:18,080 Speaker 1: He loves Trump. He's my guy. Like, I can't get 600 00:33:18,080 --> 00:33:19,600 Speaker 1: mad at I'm I gave him a big tip, but 601 00:33:19,920 --> 00:33:20,800 Speaker 1: not a good haircut. 602 00:33:21,040 --> 00:33:25,040 Speaker 2: Yeah, So I'm I'm like five minutes in and I 603 00:33:25,080 --> 00:33:27,080 Speaker 2: can just see it's like the guy's got a weed 604 00:33:27,120 --> 00:33:30,160 Speaker 2: whacker on me and there's just hair like flying a 605 00:33:30,160 --> 00:33:31,520 Speaker 2: bad haircut whirs Town. 606 00:33:31,560 --> 00:33:33,760 Speaker 1: That's on you. That's like getting a bad lobster roll 607 00:33:33,800 --> 00:33:35,600 Speaker 1: in Nantucket. Man, I don't know what to tell you. 608 00:33:35,880 --> 00:33:38,240 Speaker 2: I thought I was in a good hair I'm usually 609 00:33:38,280 --> 00:33:39,800 Speaker 2: busy in the middle part of the day. I don't 610 00:33:39,840 --> 00:33:42,120 Speaker 2: get haircuts, and so I had time because I wasn't 611 00:33:42,120 --> 00:33:44,640 Speaker 2: on the show Tuesday, I had lunch with my sixteen 612 00:33:44,720 --> 00:33:48,840 Speaker 2: year old son, you know, getting ready for uh, like 613 00:33:48,880 --> 00:33:50,800 Speaker 2: I have to add son in there. I had the 614 00:33:50,960 --> 00:33:53,640 Speaker 2: lunch with my sixteen year old you know, sixteen year 615 00:33:53,680 --> 00:33:56,520 Speaker 2: old son. Go in there, sitting there and my hair 616 00:33:56,600 --> 00:33:59,280 Speaker 2: is just flying off, like in every direction. 617 00:33:59,640 --> 00:34:01,560 Speaker 1: And then off your headphones. No one else do. This 618 00:34:01,600 --> 00:34:03,320 Speaker 1: is why you got to become a VIP at claimbuck 619 00:34:03,320 --> 00:34:08,879 Speaker 1: dot com. You can see the front the front. 620 00:34:08,640 --> 00:34:11,359 Speaker 2: Because that's the question I was going to ask you. 621 00:34:12,120 --> 00:34:15,400 Speaker 2: I recognize that I'm in the middle of just getting obliterated, 622 00:34:15,480 --> 00:34:17,800 Speaker 2: and I'm just like, take a ton of it off 623 00:34:18,440 --> 00:34:21,040 Speaker 2: and then but the problem is he has left. I 624 00:34:21,040 --> 00:34:23,560 Speaker 2: guess this is like a popular haircut for men now, 625 00:34:23,840 --> 00:34:27,280 Speaker 2: maybe boys more than men. I have like a puffy, 626 00:34:27,480 --> 00:34:31,200 Speaker 2: additional unnecessary crop of hair on top of my head 627 00:34:31,560 --> 00:34:34,279 Speaker 2: and basically a buzz everywhere else. Have you seen like 628 00:34:34,360 --> 00:34:38,759 Speaker 2: this pompadoor that guys wear. I think he saw it. 629 00:34:38,760 --> 00:34:43,759 Speaker 2: It looks ridiculous, So you're going, I mean, it's just 630 00:34:43,800 --> 00:34:47,879 Speaker 2: a buzz. It's a buzz basically everywhere, except I look 631 00:34:48,000 --> 00:34:50,080 Speaker 2: like I have a comb over on top of my 632 00:34:50,160 --> 00:34:53,680 Speaker 2: head like a bald man would. Who's trying to pretend that, you. 633 00:34:53,640 --> 00:34:55,960 Speaker 1: Know, this is this is a style? This is that's 634 00:34:56,000 --> 00:34:57,480 Speaker 1: right of that. 635 00:34:57,600 --> 00:34:57,759 Speaker 2: You know. 636 00:34:57,840 --> 00:34:59,759 Speaker 1: It's it's a little similar to what they do here 637 00:34:59,760 --> 00:35:01,520 Speaker 1: in my Miami. Actually what they do Miami is more 638 00:35:01,560 --> 00:35:04,800 Speaker 1: extreme version of it. But yeah, that's the uh you know, 639 00:35:04,880 --> 00:35:07,719 Speaker 1: it's like what is that even called? I don't know 640 00:35:07,760 --> 00:35:11,839 Speaker 1: what it's called. I just know that, like, uh, this 641 00:35:11,880 --> 00:35:13,600 Speaker 1: is a this is a common hairstyle. There was a 642 00:35:13,719 --> 00:35:15,719 Speaker 1: there was a band in one of those sort of 643 00:35:15,760 --> 00:35:18,360 Speaker 1: like pop bluegrass bands where they all had this haircut. 644 00:35:18,800 --> 00:35:20,560 Speaker 2: Yeah, it's like a pompadour. I don't even know what 645 00:35:20,560 --> 00:35:21,960 Speaker 2: you would call it. But the guy who's given me 646 00:35:22,000 --> 00:35:26,480 Speaker 2: the haircut as it's all going going bad, and I'm 647 00:35:26,520 --> 00:35:27,919 Speaker 2: just like all right, just to pull out the two 648 00:35:27,960 --> 00:35:30,120 Speaker 2: guard just basically like give me a buzz. I thought 649 00:35:30,120 --> 00:35:31,640 Speaker 2: I was going to get a full buzz instead, he 650 00:35:31,719 --> 00:35:34,160 Speaker 2: leaves it on top. He says, oh, no, this looks good. 651 00:35:34,200 --> 00:35:37,399 Speaker 2: This is amazing haircut. I said, are you sure or 652 00:35:37,680 --> 00:35:40,719 Speaker 2: you know? And then and then he said, well, I 653 00:35:40,760 --> 00:35:44,120 Speaker 2: think people will like it. And I don't want my 654 00:35:44,239 --> 00:35:46,279 Speaker 2: haircut guy to at the end of the car at 655 00:35:46,320 --> 00:35:48,239 Speaker 2: the end of the haircut be saying well, I think 656 00:35:48,239 --> 00:35:52,080 Speaker 2: people will like it. And so it's it's it's gonna 657 00:35:52,120 --> 00:35:54,400 Speaker 2: take a while. I really think I'm just gonna go in, 658 00:35:54,440 --> 00:35:56,799 Speaker 2: maybe get a buzz. I'm just preparing you that I 659 00:35:56,880 --> 00:35:57,960 Speaker 2: might just get all the hair take. 660 00:35:58,040 --> 00:36:00,200 Speaker 1: You got kind of a faith it's kind of have 661 00:36:00,200 --> 00:36:02,799 Speaker 1: a fade slash. It's like a pompadoor fade is what 662 00:36:02,880 --> 00:36:03,360 Speaker 1: you got. 663 00:36:03,840 --> 00:36:05,960 Speaker 2: Yeah, And I was like halfway through it, I was like, 664 00:36:06,040 --> 00:36:08,080 Speaker 2: this is gonna be a bad bowl cut. I do 665 00:36:08,200 --> 00:36:10,400 Speaker 2: not want I just I just tried to prevent the worst. 666 00:36:10,400 --> 00:36:12,160 Speaker 2: I was like, I do not want to bowl cut 667 00:36:12,239 --> 00:36:14,560 Speaker 2: anything but a bowl cut. And so instead I got 668 00:36:14,600 --> 00:36:17,480 Speaker 2: this like weird, big glop of hair on top of 669 00:36:17,520 --> 00:36:19,480 Speaker 2: my head. Nowhere else do I have hair, I'll. 670 00:36:19,360 --> 00:36:21,319 Speaker 1: Tell you real quick. When I was in Iraq, a 671 00:36:21,360 --> 00:36:24,160 Speaker 1: couple of the guys, some of the paramilitaries, like you know, 672 00:36:24,280 --> 00:36:28,080 Speaker 1: former Seal, former Delta guys. They were like, they were like, 673 00:36:28,360 --> 00:36:30,919 Speaker 1: they called me Junior. They're like, Junior, we're gonna shave 674 00:36:30,960 --> 00:36:33,479 Speaker 1: your head. You gotta shave your head. And I literally 675 00:36:33,480 --> 00:36:36,040 Speaker 1: looked them like, guys, you understand you can't shave my head. 676 00:36:36,560 --> 00:36:38,879 Speaker 1: You will be horrified at how big my head is 677 00:36:38,920 --> 00:36:40,680 Speaker 1: if there's no hair to sort of make it seem 678 00:36:40,719 --> 00:36:43,560 Speaker 1: more normal. And to their credit, they're like, yeah, we're 679 00:36:43,640 --> 00:36:46,160 Speaker 1: kind of scared. We're not gonna shift your head. I 680 00:36:46,239 --> 00:36:47,640 Speaker 1: needed them to protect me.