1 00:00:00,280 --> 00:00:04,120 Speaker 1: Third hour of Clay and Buck underway right now, We've 2 00:00:04,160 --> 00:00:06,960 Speaker 1: got so much to dive into. We've got the latest 3 00:00:07,000 --> 00:00:11,160 Speaker 1: numbers in on the election that is underway. It is 4 00:00:11,240 --> 00:00:14,040 Speaker 1: really no longer election day. I think we all have 5 00:00:14,200 --> 00:00:18,040 Speaker 1: to just understand and shift our mindset toward this. It's 6 00:00:18,079 --> 00:00:24,960 Speaker 1: election month in some places, certainly election weeks. So it's 7 00:00:25,000 --> 00:00:28,320 Speaker 1: happening right now. I cast my vote yesterday Miami Beach. 8 00:00:29,280 --> 00:00:34,600 Speaker 1: Saw all of my tanned, happy and you know, sandal 9 00:00:34,720 --> 00:00:38,440 Speaker 1: clad neighbors all lined up. I will tell you, Clay, 10 00:00:39,320 --> 00:00:43,000 Speaker 1: I promise you true story. A rather I believe, we 11 00:00:43,040 --> 00:00:46,239 Speaker 1: would say Jack fellow in front of me in a 12 00:00:46,320 --> 00:00:48,960 Speaker 1: tank top who looked like he could probably put up 13 00:00:49,600 --> 00:00:51,600 Speaker 1: I mean he could probably put up Clay Travis numbers 14 00:00:51,640 --> 00:00:53,400 Speaker 1: like four hundred and fifty on the bench. He was 15 00:00:53,600 --> 00:00:57,840 Speaker 1: very large, very large fellow. And a woman on the 16 00:00:57,880 --> 00:01:01,000 Speaker 1: way in with a sign says are you going to 17 00:01:01,040 --> 00:01:03,120 Speaker 1: She had like a kamala And this is like outside 18 00:01:03,160 --> 00:01:05,800 Speaker 1: the zone where you're allowed you know, outside the zone 19 00:01:06,240 --> 00:01:09,080 Speaker 1: feed or whatever it is, where you're allowed to try 20 00:01:09,080 --> 00:01:11,319 Speaker 1: to get So there were a few people outside the 21 00:01:11,440 --> 00:01:13,840 Speaker 1: zone who were making their last pitch or whatever. Fine, 22 00:01:14,000 --> 00:01:16,800 Speaker 1: but this woman goes, are you gonna vote for Kamala? 23 00:01:16,959 --> 00:01:19,560 Speaker 1: Or she goes, are you voting for Kamala Harris, Like 24 00:01:19,600 --> 00:01:22,000 Speaker 1: they're having a little, like a little quiet, private secret 25 00:01:22,080 --> 00:01:27,880 Speaker 1: moment together, and he goes absolutely not, like, yes, Miami Beach, 26 00:01:28,319 --> 00:01:33,200 Speaker 1: Yes the jacked bro is not voting for Kamala Harris. 27 00:01:33,480 --> 00:01:36,560 Speaker 1: I could have told you that before he responded, I've 28 00:01:36,560 --> 00:01:38,360 Speaker 1: got a good question for you. We can have a 29 00:01:38,400 --> 00:01:40,240 Speaker 1: little bit of fun here and then we'll get into 30 00:01:40,240 --> 00:01:43,640 Speaker 1: the news. If you could only pick one thing to 31 00:01:43,840 --> 00:01:47,880 Speaker 1: know about a person that would guarantee that they are 32 00:01:47,920 --> 00:01:51,240 Speaker 1: going to vote either for Kamala or for Trump. This 33 00:01:51,400 --> 00:01:54,880 Speaker 1: is not something about their identity, but something that they do, 34 00:01:55,520 --> 00:02:01,640 Speaker 1: a habit, a activity. Mine would be, well, you tell me, 35 00:02:01,720 --> 00:02:04,000 Speaker 1: are there things that come to mind immediately? For you? 36 00:02:04,200 --> 00:02:09,040 Speaker 1: You'd be like Trump, guy, Kamala, person like whatever. I think. 37 00:02:09,080 --> 00:02:11,400 Speaker 1: I can talk to somebody about guns for thirty seconds 38 00:02:11,440 --> 00:02:13,720 Speaker 1: and with a ninety nine percent accuracy know who they're 39 00:02:13,800 --> 00:02:18,440 Speaker 1: voting for. I would say, if you can bench press 40 00:02:18,600 --> 00:02:22,720 Speaker 1: two hundred and twenty five pounds, you almost certainly are 41 00:02:22,800 --> 00:02:27,959 Speaker 1: voting for Trump. Like if you only allowed men who 42 00:02:27,960 --> 00:02:29,880 Speaker 1: could bench press, for those of you out there, whoever 43 00:02:29,880 --> 00:02:33,080 Speaker 1: get on a bench. If you could, that's two forty 44 00:02:33,080 --> 00:02:36,760 Speaker 1: five plates on either side without even talking to them 45 00:02:36,800 --> 00:02:40,600 Speaker 1: at all. If you only allowed men who bench pressed 46 00:02:40,639 --> 00:02:43,480 Speaker 1: to twenty five to vote, I think it would be 47 00:02:43,600 --> 00:02:46,799 Speaker 1: like ninety ten Trump. That would be mine. If you 48 00:02:47,040 --> 00:02:49,200 Speaker 1: just like strong, like to your point when you were saying, 49 00:02:49,240 --> 00:02:51,960 Speaker 1: like the guy's kind of big and ripped. Ripped guys 50 00:02:52,160 --> 00:02:55,520 Speaker 1: believe in individ This is my theory on it. Super 51 00:02:55,600 --> 00:03:00,440 Speaker 1: Ripped guys believe in individual responsibility. They're willing to work card, 52 00:03:00,520 --> 00:03:03,639 Speaker 1: they show up every day and they put in effort. 53 00:03:03,800 --> 00:03:06,880 Speaker 1: They are more likely to be individualist and to be 54 00:03:07,120 --> 00:03:09,560 Speaker 1: Trump supporters. I believe if I were having to pick, 55 00:03:09,639 --> 00:03:13,280 Speaker 1: like just an activity that somebody does, the other one 56 00:03:13,320 --> 00:03:21,960 Speaker 1: would be if you are if you are like a biker. 57 00:03:23,120 --> 00:03:26,160 Speaker 1: I feel like bikers would not know like a motorcycle 58 00:03:26,960 --> 00:03:31,840 Speaker 1: what cyclists or motorcycle because we're very different. Cyclist I 59 00:03:31,880 --> 00:03:33,960 Speaker 1: feel like I'm gett I'm trying to pick an activity. 60 00:03:34,320 --> 00:03:37,240 Speaker 1: If you are a cyclist, I feel like you are 61 00:03:37,280 --> 00:03:40,480 Speaker 1: a Kamala voter. Oh if you're if well, here's the thing. 62 00:03:41,000 --> 00:03:43,320 Speaker 1: It's funny because if I if I could call somebody 63 00:03:43,360 --> 00:03:47,200 Speaker 1: a biker and know that they wear leather jackets and 64 00:03:47,240 --> 00:03:52,800 Speaker 1: have tattooed Trump Trump all the voters. Motorcyclist, all those 65 00:03:52,800 --> 00:03:55,880 Speaker 1: people are Trump. But like I but I was gonna say, 66 00:03:56,040 --> 00:04:01,000 Speaker 1: if you're talking cyclist who wears the like neoprens z thing, yes, 67 00:04:01,720 --> 00:04:06,040 Speaker 1: ninety Commala voters, guys and girls, ninety percent Commala voters. 68 00:04:06,040 --> 00:04:07,760 Speaker 1: I don't know why it is, but it is. Do 69 00:04:07,800 --> 00:04:09,360 Speaker 1: you agree with? That would be my like if you 70 00:04:09,400 --> 00:04:13,640 Speaker 1: had to pick something that somebody does, bicyclist, like meaning 71 00:04:13,720 --> 00:04:16,080 Speaker 1: like what Buck said, like you wear the neoprene like 72 00:04:16,120 --> 00:04:20,080 Speaker 1: you're out versus weightlifting. I feel like there are other things, right, 73 00:04:20,160 --> 00:04:23,560 Speaker 1: like if you're trans, I think you're probably voting Kamala 74 00:04:23,680 --> 00:04:26,800 Speaker 1: right in general, Yes, but I'm talking about like activities 75 00:04:26,839 --> 00:04:31,400 Speaker 1: that people do. That would be weightlifting and bikeling. Bicycling 76 00:04:31,480 --> 00:04:33,040 Speaker 1: would be two things where I'd be like, I feel 77 00:04:33,040 --> 00:04:34,880 Speaker 1: like I know how you vote. I will say that 78 00:04:35,000 --> 00:04:38,400 Speaker 1: Miami Beach here has historically has had a substantial gay 79 00:04:38,560 --> 00:04:42,039 Speaker 1: gay population. All of all of my gay friends in 80 00:04:42,080 --> 00:04:45,840 Speaker 1: Miami Beach voting Trump. I actually I'm just saying now 81 00:04:45,839 --> 00:04:48,320 Speaker 1: maybe that's because they're my friends, but all of my 82 00:04:48,360 --> 00:04:50,720 Speaker 1: gay friends in Miami Beach are voting Trump. I don't 83 00:04:50,720 --> 00:04:53,599 Speaker 1: think gay is as much of a proxy for how 84 00:04:53,640 --> 00:04:56,120 Speaker 1: you vote in a presidential election now, No, I don't 85 00:04:56,120 --> 00:05:00,360 Speaker 1: think it is at all. I'm just saying years ago, anecdote, anecdotally. Yeah, 86 00:05:00,400 --> 00:05:03,080 Speaker 1: there's a strong I think there's a strong contingent of 87 00:05:04,760 --> 00:05:09,039 Speaker 1: well within the sort of LGBTQ community, among gay men. 88 00:05:09,200 --> 00:05:12,840 Speaker 1: I think there's going to be a surprising number of 89 00:05:12,880 --> 00:05:16,680 Speaker 1: Trump voters compared to what the Republican norms are. Okay, 90 00:05:16,760 --> 00:05:21,000 Speaker 1: speaking of Republican voters, we teased as we went to break, 91 00:05:21,720 --> 00:05:24,839 Speaker 1: I just shared this on Twitter. It's kind of a 92 00:05:24,880 --> 00:05:27,720 Speaker 1: weird thing. As you said, we don't have election Day anymore. 93 00:05:28,080 --> 00:05:33,720 Speaker 1: We have election season. And so in Florida, huge state population, 94 00:05:34,000 --> 00:05:38,960 Speaker 1: early voting is underway and every day they release different 95 00:05:39,120 --> 00:05:43,719 Speaker 1: outcomes from the early voting. This came down twenty seven 96 00:05:43,800 --> 00:05:50,120 Speaker 1: minutes ago. Republicans are getting fifty four percent of the 97 00:05:50,240 --> 00:05:54,640 Speaker 1: early vote. Democrats are getting twenty eight percent. This is 98 00:05:54,800 --> 00:06:01,320 Speaker 1: in person early voting. Republicans have opened up already a 99 00:06:01,520 --> 00:06:06,040 Speaker 1: one hundred and sixty thousand person lead, and an in 100 00:06:06,160 --> 00:06:10,200 Speaker 1: person early voting they're winning by twenty six points. Now, 101 00:06:10,800 --> 00:06:14,479 Speaker 1: I think this is interesting primarily as a method to 102 00:06:14,640 --> 00:06:18,960 Speaker 1: analyze enthusiasm. There are certainly male in ballots that are 103 00:06:19,000 --> 00:06:21,760 Speaker 1: out there that will favor Democrats. I think they've already 104 00:06:21,800 --> 00:06:25,520 Speaker 1: started to count those. But I take this as a 105 00:06:25,640 --> 00:06:29,719 Speaker 1: very good sign. There are lots of excited Trump voters 106 00:06:29,720 --> 00:06:32,840 Speaker 1: who want to get out, get their votes in, and 107 00:06:34,560 --> 00:06:37,800 Speaker 1: this is I take it a really good sign. The 108 00:06:37,880 --> 00:06:42,880 Speaker 1: other bit of Newsbuck that we teased Trump on Friday, 109 00:06:43,200 --> 00:06:48,480 Speaker 1: according to Politico, is going to do the Joe Rogan podcast, 110 00:06:49,120 --> 00:06:53,280 Speaker 1: which is right now, I believe the biggest podcast essentially 111 00:06:53,440 --> 00:06:59,479 Speaker 1: in America. Rogan only releases his show via podcast. I'm 112 00:06:59,520 --> 00:07:02,160 Speaker 1: cure ever done the show? You haven't done the show? Buck, 113 00:07:03,200 --> 00:07:05,760 Speaker 1: Good move, bad move in your mind for Trump to 114 00:07:05,800 --> 00:07:10,520 Speaker 1: do Rogan. This podcast reportedly taping in Austin on Friday. 115 00:07:11,240 --> 00:07:14,320 Speaker 1: Nothing nothing but upside. I think for Trump this is 116 00:07:14,320 --> 00:07:18,600 Speaker 1: his milieu. Two guys sitting down talking. I mean, this 117 00:07:18,680 --> 00:07:22,280 Speaker 1: is what's funny is that Trump almost does a Rogan 118 00:07:22,400 --> 00:07:25,760 Speaker 1: style interview when he's talking to sixty minutes. You know, 119 00:07:25,840 --> 00:07:29,640 Speaker 1: he just he's always in the element of Trump's world. 120 00:07:29,840 --> 00:07:31,600 Speaker 1: I mean, you and I have said this, We've dealt 121 00:07:31,600 --> 00:07:34,560 Speaker 1: with this ourselves, Like when you're interviewing Trump a lot 122 00:07:34,600 --> 00:07:36,840 Speaker 1: of times unless you're just going to be rude and 123 00:07:36,880 --> 00:07:39,040 Speaker 1: try to talk over him or something, and especially when 124 00:07:39,080 --> 00:07:41,840 Speaker 1: he's the sitting president, that's particularly rude. But you just 125 00:07:41,880 --> 00:07:43,480 Speaker 1: got to kind of let Trump do his Trump thing. 126 00:07:43,520 --> 00:07:45,560 Speaker 1: I mean, he's going to answer the questions exactly how 127 00:07:45,600 --> 00:07:47,480 Speaker 1: he wants and he's going to speak how you know. 128 00:07:47,840 --> 00:07:49,320 Speaker 1: He'll let you know when it's time for you to 129 00:07:49,320 --> 00:07:51,440 Speaker 1: come in with another question. You may have to wait 130 00:07:51,480 --> 00:07:56,320 Speaker 1: a few minutes. But he's very conversational and very you know, 131 00:07:56,360 --> 00:07:58,040 Speaker 1: laid back. I think you can say in a lot 132 00:07:58,080 --> 00:08:02,800 Speaker 1: of the stylists sick aspects of an interview, and so 133 00:08:02,880 --> 00:08:05,360 Speaker 1: with Rogan, yeah, I mean, you know, he's going to 134 00:08:05,400 --> 00:08:07,120 Speaker 1: be sitting there'll probably he'll be in his suit with 135 00:08:07,120 --> 00:08:08,800 Speaker 1: his red tie, but he'll be sitting there and they'll 136 00:08:08,800 --> 00:08:10,560 Speaker 1: have a lot of fun. And Trump will say some 137 00:08:10,680 --> 00:08:14,720 Speaker 1: things that you and I and everyone listening finds highly amusing. 138 00:08:15,120 --> 00:08:18,120 Speaker 1: And there will be Mika on Morning Joe as soon 139 00:08:18,120 --> 00:08:19,960 Speaker 1: as it comes out, like did you did you hear 140 00:08:20,040 --> 00:08:22,200 Speaker 1: what he said about the Oh my gosh, you know, 141 00:08:22,280 --> 00:08:24,360 Speaker 1: and all there'll be the pearl clutching going on among 142 00:08:24,400 --> 00:08:26,600 Speaker 1: Democrats who get paid too much money to say stupid 143 00:08:26,600 --> 00:08:30,960 Speaker 1: things on TV. And I think that Rogan's audience does 144 00:08:31,000 --> 00:08:36,960 Speaker 1: cross over into people who are not particularly political but 145 00:08:37,360 --> 00:08:40,160 Speaker 1: maybe voting. And when you start to look at what's 146 00:08:40,200 --> 00:08:44,560 Speaker 1: that last two percent of it's not just the undecided, right, 147 00:08:44,559 --> 00:08:46,599 Speaker 1: there's undecided. There's also like, am I even going to 148 00:08:46,640 --> 00:08:50,320 Speaker 1: show up? I think, Rogan, you know how many people 149 00:08:50,320 --> 00:08:52,360 Speaker 1: listen to us in the radio that don't plan on voting? 150 00:08:52,360 --> 00:08:55,719 Speaker 1: I think the answer is infinitesimal, right, I mean there's 151 00:08:55,760 --> 00:08:57,480 Speaker 1: probably a few we could we could take two or 152 00:08:57,480 --> 00:08:59,480 Speaker 1: three calls now, like I'm not going to vote, okay, 153 00:08:59,520 --> 00:09:01,839 Speaker 1: but ninety nine percent of our audience is going to 154 00:09:01,920 --> 00:09:04,000 Speaker 1: you know that are US citizens are going to vote. 155 00:09:04,280 --> 00:09:06,040 Speaker 1: We do have some foreigners who listen, which is great, 156 00:09:06,400 --> 00:09:09,840 Speaker 1: But Rogan's audience, I think there's a good chunk, especially 157 00:09:09,840 --> 00:09:15,480 Speaker 1: of younger men who are probably independent affiliation, who it 158 00:09:15,559 --> 00:09:17,720 Speaker 1: could work. And it's not gonna work like it's going 159 00:09:17,800 --> 00:09:20,000 Speaker 1: to give a million votes to Donald Trump, But could 160 00:09:20,000 --> 00:09:22,920 Speaker 1: it be a few thousand here or there in a 161 00:09:22,960 --> 00:09:25,760 Speaker 1: state like Arizona or state like Michigan, et cetera. I 162 00:09:25,760 --> 00:09:28,000 Speaker 1: think yes, I think it could be a little helpful. 163 00:09:28,480 --> 00:09:32,240 Speaker 1: I think it's smart because what it does is rebut 164 00:09:32,600 --> 00:09:37,040 Speaker 1: almost pre butt the closing argument of Kamala Harris that 165 00:09:37,160 --> 00:09:40,280 Speaker 1: Trump is Hitler and a unique threat to American democracy. 166 00:09:40,640 --> 00:09:44,120 Speaker 1: And that's why I thought the McDonald's stunt was so 167 00:09:44,280 --> 00:09:47,600 Speaker 1: funny and also so perfect. Same thing with the Al 168 00:09:47,640 --> 00:09:53,800 Speaker 1: Smith dinner, making jokes, having fun, wearing a McDonald's apron 169 00:09:53,920 --> 00:09:56,640 Speaker 1: and serving French fries and learning how to make them, 170 00:09:56,720 --> 00:09:59,679 Speaker 1: all these things. I think the Rogan Show will just 171 00:09:59,720 --> 00:10:03,760 Speaker 1: see fun, and I think Trump will be good in 172 00:10:03,800 --> 00:10:08,320 Speaker 1: that setting. Here's a question for you, Buck, what would 173 00:10:08,400 --> 00:10:12,479 Speaker 1: you Let's pretend that you were Kamala Harris's top advisor. 174 00:10:13,360 --> 00:10:17,240 Speaker 1: You are seeing all these trend lines that Trump supporting 175 00:10:17,400 --> 00:10:22,760 Speaker 1: Republicans and moderates. Some are showing up and supporting Trump 176 00:10:22,800 --> 00:10:29,559 Speaker 1: in high numbers early voting turnout in North Carolina, Georgia, Florida, Nevada, Arizona, 177 00:10:29,640 --> 00:10:33,199 Speaker 1: those places where you can see it by a Republican 178 00:10:33,280 --> 00:10:36,360 Speaker 1: or Democrat, it's looking pretty good. I should take Georgia 179 00:10:36,400 --> 00:10:38,360 Speaker 1: out because I don't think they do it by Republican 180 00:10:38,440 --> 00:10:43,280 Speaker 1: or Democrat. What could Kamala Harris do right now? Given 181 00:10:43,320 --> 00:10:46,640 Speaker 1: that we are fourteen days out from the election to 182 00:10:46,800 --> 00:10:50,440 Speaker 1: change anything that's going on right now. I don't have 183 00:10:50,480 --> 00:10:54,600 Speaker 1: any answer the candidate that people are voting on now 184 00:10:54,600 --> 00:10:56,240 Speaker 1: when it comes to Kamala as a candidate that you 185 00:10:56,280 --> 00:10:58,160 Speaker 1: will be an election day, which I think I would 186 00:10:58,160 --> 00:11:00,439 Speaker 1: probably that's really true of anyone at this stage. But 187 00:11:00,480 --> 00:11:02,920 Speaker 1: I'm just saying, but is there a media outlet, like 188 00:11:02,960 --> 00:11:04,960 Speaker 1: if you were trying to give her advice, what could 189 00:11:05,000 --> 00:11:07,880 Speaker 1: she know? I think at this point it's it's irrelevant. 190 00:11:07,880 --> 00:11:09,520 Speaker 1: And what I mean is Clay, Yeah, obviously it's the 191 00:11:09,520 --> 00:11:11,120 Speaker 1: same person now as the will be in two weeks. 192 00:11:11,120 --> 00:11:14,440 Speaker 1: But I'm saying there aren't there. There aren't even tweaks 193 00:11:14,480 --> 00:11:17,080 Speaker 1: that they can make to the dial to try to 194 00:11:17,160 --> 00:11:20,880 Speaker 1: get a different perception outcome of Kamala. I think they've 195 00:11:20,880 --> 00:11:26,640 Speaker 1: actually exhausted some of the addressable audience for Kamala with 196 00:11:26,720 --> 00:11:29,839 Speaker 1: the switches that they've made and with the inconsistency. Do 197 00:11:29,880 --> 00:11:32,120 Speaker 1: you know what I mean? You know, you can't go 198 00:11:32,160 --> 00:11:34,480 Speaker 1: from telling me someone's not doing media so they're doing 199 00:11:34,520 --> 00:11:36,840 Speaker 1: a media blitz. So they're not doing media again because 200 00:11:36,840 --> 00:11:38,840 Speaker 1: they're so great. Oh no, they're not. Wait hold on, 201 00:11:39,160 --> 00:11:41,240 Speaker 1: you can't tell me they're change from Biden, but then 202 00:11:41,240 --> 00:11:43,440 Speaker 1: they say that they wouldn't do anything differently than Biden. 203 00:11:43,480 --> 00:11:45,520 Speaker 1: But then they say they're still going to change somehow, 204 00:11:45,840 --> 00:11:52,839 Speaker 1: like there's been too much cognitive dissonance with the Kamala campaign. 205 00:11:53,520 --> 00:11:57,520 Speaker 1: And that also makes perfect sense because Clay, she's been 206 00:11:57,600 --> 00:11:59,440 Speaker 1: the what has it been three months or something? I 207 00:11:59,440 --> 00:12:01,199 Speaker 1: mean I haven't really counted up the days. How long 208 00:12:01,240 --> 00:12:03,160 Speaker 1: has she even been to candidate? It's been, you know, 209 00:12:03,880 --> 00:12:08,839 Speaker 1: July twenty first she got elevated. Yeah, right, August September. Yeah, 210 00:12:08,840 --> 00:12:11,520 Speaker 1: it's been three months. She's run a three month long campaign. 211 00:12:12,200 --> 00:12:14,520 Speaker 1: Of course, this shouldn't work. I mean, if it does work, 212 00:12:14,559 --> 00:12:16,880 Speaker 1: Republicans are gonna have to do a lot of soul searching. 213 00:12:16,920 --> 00:12:19,160 Speaker 1: But we're not gonna go there. We're not gonna go there. 214 00:12:20,840 --> 00:12:23,000 Speaker 1: When we come back, we'll continue to break down more 215 00:12:23,000 --> 00:12:25,360 Speaker 1: of this. Take some of your calls. But if you're 216 00:12:25,360 --> 00:12:27,200 Speaker 1: out there right now, what do you got Wait? Can 217 00:12:27,200 --> 00:12:30,120 Speaker 1: I just throw something to you real quick? Yes? Right, 218 00:12:30,280 --> 00:12:35,559 Speaker 1: right wing cyclists with their kneaprene suits on like they're 219 00:12:35,600 --> 00:12:39,880 Speaker 1: scubaing on the side of the road, blocking our cars 220 00:12:39,920 --> 00:12:44,960 Speaker 1: from going normal speed, dressed like teletubbies, they are lighting 221 00:12:45,040 --> 00:12:47,920 Speaker 1: us up. Right now, I'm just let lighting men cyclists 222 00:12:48,000 --> 00:12:51,320 Speaker 1: are huge Trump people. I'm getting people that are. I 223 00:12:51,360 --> 00:12:53,199 Speaker 1: told them to call it. I'm getting them saying, you're 224 00:12:53,280 --> 00:12:56,200 Speaker 1: that's not true. Cyclists. We all agree on the bikers, 225 00:12:56,240 --> 00:12:58,040 Speaker 1: and the bikers are like, that's right. They all know, right, 226 00:12:58,080 --> 00:13:02,880 Speaker 1: we get that. But yeah, there are team all the way. 227 00:13:03,000 --> 00:13:05,440 Speaker 1: But cyclists. And I'm talking. I don't just mean you 228 00:13:05,520 --> 00:13:07,280 Speaker 1: ride a bike on the weekends in the town. That's 229 00:13:07,280 --> 00:13:09,400 Speaker 1: not a cyclist. I mean the people you all know what, 230 00:13:09,679 --> 00:13:12,840 Speaker 1: You've all seen them. They've got the weird handles turned around, 231 00:13:13,000 --> 00:13:16,320 Speaker 1: they've got the aerodynamic helmet on, and it's a very 232 00:13:16,360 --> 00:13:19,920 Speaker 1: tight clothing, and you think maybe they're French, Like, that's 233 00:13:19,920 --> 00:13:23,280 Speaker 1: a cyclist. They're claiming that they're big Trump people. Some 234 00:13:23,360 --> 00:13:25,000 Speaker 1: of them are. Some of them I want to hear. 235 00:13:25,080 --> 00:13:26,800 Speaker 1: I want them to make this case to the masses 236 00:13:26,800 --> 00:13:29,480 Speaker 1: because I'm not buying it. Hey, I'm open to being wrong. 237 00:13:29,559 --> 00:13:31,800 Speaker 1: I'm not claiming to begin too. I hope I'm a 238 00:13:31,840 --> 00:13:35,199 Speaker 1: genius when it comes to the cycling community, What then, 239 00:13:35,520 --> 00:13:40,240 Speaker 1: personality trait would you point to? I don't mean what 240 00:13:40,360 --> 00:13:43,800 Speaker 1: you are, right, like you're born white, black, male, female, 241 00:13:43,840 --> 00:13:46,640 Speaker 1: like whatever. I mean something that you do as a 242 00:13:46,679 --> 00:13:50,320 Speaker 1: hobby advocation that would you would see it and be 243 00:13:50,480 --> 00:13:53,960 Speaker 1: like that person is voting Trump or Kamala. I think 244 00:13:53,960 --> 00:13:58,319 Speaker 1: most people agree with me, like weightlifters Trump guys, truck 245 00:13:58,400 --> 00:14:04,600 Speaker 1: drivers Trump guys, and there's always exceptions, but but motorcycle guys, 246 00:14:04,760 --> 00:14:10,960 Speaker 1: boat guys all Trump guys. What would a Kamala person do? 247 00:14:11,559 --> 00:14:14,160 Speaker 1: I thought cycling would be one maybe, I mean the 248 00:14:14,600 --> 00:14:16,760 Speaker 1: careers we definitely know. But you're talking about hobbies. We'll 249 00:14:16,760 --> 00:14:19,200 Speaker 1: get into this morning. How do you got uh, Well, 250 00:14:19,360 --> 00:14:21,960 Speaker 1: one thing we know is maybe it'd be a low 251 00:14:22,000 --> 00:14:24,800 Speaker 1: testosterone thing that a Kamala voter would do. I gave 252 00:14:24,800 --> 00:14:27,680 Speaker 1: you the data. By the way, twenty eight percent of 253 00:14:27,760 --> 00:14:31,360 Speaker 1: men in Georgia are voting for Kamala. Twenty eight percent, 254 00:14:32,080 --> 00:14:35,680 Speaker 1: seventy thirty basically saying, yeah, I'm on the Trump team. 255 00:14:36,200 --> 00:14:41,880 Speaker 1: I bet the seventy percent has infinitely higher testosterone than 256 00:14:41,920 --> 00:14:44,320 Speaker 1: the twenty eight percent. And if you don't have the 257 00:14:44,480 --> 00:14:46,880 Speaker 1: energy that you used to have, do you know that 258 00:14:46,920 --> 00:14:50,880 Speaker 1: by taking chalk you can increase your testosterone levels by 259 00:14:50,960 --> 00:14:56,120 Speaker 1: twenty percent within three months. Testosterone linked directly to energy. 260 00:14:56,480 --> 00:15:01,280 Speaker 1: When your testosterone levels decline, so does your in level Chalk, 261 00:15:01,360 --> 00:15:04,280 Speaker 1: Texas based family business. 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They will make sure that you have 271 00:15:34,160 --> 00:15:37,560 Speaker 1: enough testosterone so that you aren't tempted to vote Kamala. 272 00:15:37,800 --> 00:15:41,160 Speaker 1: If you are a man, choq dot com get hooked 273 00:15:41,240 --> 00:15:41,720 Speaker 1: up today. 274 00:15:42,480 --> 00:15:48,000 Speaker 2: Clay Travison buck Sexton mic drops that never sounded so good. 275 00:15:48,680 --> 00:15:51,960 Speaker 2: Find them on the free iHeartRadio app or wherever you 276 00:15:52,120 --> 00:15:56,200 Speaker 2: get your podcasts. Welcome back in Clay Travis Bucks Sexton Show. 277 00:15:56,240 --> 00:16:02,160 Speaker 1: We're having some fun. What hobby would you hear someone 278 00:16:02,360 --> 00:16:07,680 Speaker 1: had and immediately say, oh, that person is voting for Kamala. 279 00:16:07,760 --> 00:16:11,360 Speaker 1: I'm just getting inundated by cyclist right now. I still 280 00:16:11,400 --> 00:16:14,760 Speaker 1: think cycling and again not motorcycling, just like you're on 281 00:16:14,800 --> 00:16:18,520 Speaker 1: your bike and you're like, what is neoprene? Right, that's 282 00:16:18,560 --> 00:16:22,200 Speaker 1: what it is, right, like the cycling outfit. I don't 283 00:16:22,200 --> 00:16:24,680 Speaker 1: think of those people as huge Trump people. Maybe I'm wrong. 284 00:16:24,760 --> 00:16:27,680 Speaker 1: I was gonna say bird watching, and Buck just was like, no, 285 00:16:27,840 --> 00:16:30,640 Speaker 1: there's tons of bird watchers who are huge Trump people. 286 00:16:30,720 --> 00:16:34,360 Speaker 1: You had. I'm trying to think through what would I 287 00:16:34,480 --> 00:16:37,120 Speaker 1: hear that you did as a hobby, and I would 288 00:16:37,160 --> 00:16:41,040 Speaker 1: be like, Oh, you are definitely a Kamala voter. You've 289 00:16:41,040 --> 00:16:45,720 Speaker 1: got one. Oh, I think padel down here, which is 290 00:16:45,760 --> 00:16:48,880 Speaker 1: a fan like this fancy version of racquetball that's becoming popular, 291 00:16:48,880 --> 00:16:50,760 Speaker 1: at least in South Florida. I don't know if anyone 292 00:16:50,760 --> 00:16:53,520 Speaker 1: plays this anywhere else. I think I think Democrats. What 293 00:16:53,600 --> 00:16:57,760 Speaker 1: about Peloton, Oh, I think Peloton is. I was gonna 294 00:16:57,760 --> 00:17:00,960 Speaker 1: say cipelling again, like I think if you're on the cycle, 295 00:17:01,280 --> 00:17:03,680 Speaker 1: not the motorcycle, I tend to. I mean, I guess 296 00:17:03,720 --> 00:17:06,080 Speaker 1: that maybe cannot steroids, which is another way to be 297 00:17:06,119 --> 00:17:09,240 Speaker 1: on the cycle. You were saying Adele, I went and 298 00:17:09,320 --> 00:17:12,119 Speaker 1: saw Adele padell Adele the single Well, I thought you 299 00:17:12,160 --> 00:17:14,800 Speaker 1: said Adele the singer. No, I don't even know what 300 00:17:14,880 --> 00:17:15,560 Speaker 1: Padell is. 301 00:17:15,920 --> 00:17:16,800 Speaker 2: The factiv. 302 00:17:18,560 --> 00:17:21,359 Speaker 1: Maybe makes you a cobble of voter. I never even 303 00:17:21,400 --> 00:17:24,800 Speaker 1: heard of Padel. I thought you said Adell the scene 304 00:17:25,160 --> 00:17:26,720 Speaker 1: I was gonna say. I went to go see her 305 00:17:26,720 --> 00:17:30,760 Speaker 1: in Vegas with Laura. What is the breakdown? What is 306 00:17:30,800 --> 00:17:36,879 Speaker 1: the breakdown of voting aged women who like Taylor Swift? 307 00:17:37,359 --> 00:17:37,560 Speaker 3: Is it? 308 00:17:37,840 --> 00:17:41,120 Speaker 1: Is it for Democrats? Though you think it's super high Democrat, 309 00:17:41,160 --> 00:17:43,000 Speaker 1: there's I think it's super high everybody. I think it's 310 00:17:43,040 --> 00:17:46,560 Speaker 1: like eighty twenty women like Taylor Swift. No, no, no, 311 00:17:46,600 --> 00:17:50,760 Speaker 1: I'm saying in terms of the Taylor Swift voting age audience, 312 00:17:51,240 --> 00:17:54,320 Speaker 1: are they overwhelmingly Democrats or is it fifty to fifty? 313 00:17:55,119 --> 00:17:57,200 Speaker 1: I think it's probably like sixty five to thirty five. 314 00:17:57,240 --> 00:18:00,399 Speaker 1: Democrat would be my bet. Oh we're gonna start into this. 315 00:18:00,440 --> 00:18:02,919 Speaker 1: We got the cyclists are coming for us right now. Well, 316 00:18:02,960 --> 00:18:04,800 Speaker 1: I'll leays speak to the gun owners in the audience, 317 00:18:04,880 --> 00:18:07,440 Speaker 1: A lot of you out there, thankfully, that's always room 318 00:18:07,440 --> 00:18:10,919 Speaker 1: to improve your aim. Look, I needed my MANTISX. I 319 00:18:11,320 --> 00:18:13,560 Speaker 1: used it, but I needed to use it for about 320 00:18:13,560 --> 00:18:15,880 Speaker 1: another week before I got out to the range. Those 321 00:18:15,960 --> 00:18:17,800 Speaker 1: you have seen we put it on social media. I 322 00:18:17,840 --> 00:18:20,560 Speaker 1: had a little shooting the plate's thing, and I'm so 323 00:18:20,720 --> 00:18:22,880 Speaker 1: close to running the cycle and then I ran out, 324 00:18:22,920 --> 00:18:26,000 Speaker 1: and it was said, mantis X will prevent these moments 325 00:18:26,040 --> 00:18:28,040 Speaker 1: at the gun range for you, my friends. You will 326 00:18:28,040 --> 00:18:30,800 Speaker 1: be so dialed in. Yes, I was slapping the trigger 327 00:18:30,840 --> 00:18:32,960 Speaker 1: back a little too hard. Yes I was rushing. You 328 00:18:33,000 --> 00:18:36,199 Speaker 1: know what, It prevented me from doing that. Mantis x. 329 00:18:36,240 --> 00:18:38,680 Speaker 1: This is a dry fire training system you can work 330 00:18:38,720 --> 00:18:41,879 Speaker 1: with at home. High tech, easy to set up, easy 331 00:18:41,880 --> 00:18:45,760 Speaker 1: to use, makes your shooting better. Amazing technology for your 332 00:18:45,760 --> 00:18:48,880 Speaker 1: shooting at an affordable price. Go to mantisx dot com 333 00:18:48,920 --> 00:18:51,280 Speaker 1: to get your training system in place today. Don't be 334 00:18:51,400 --> 00:18:55,040 Speaker 1: like me and not do it enough mantisx dot com 335 00:18:55,119 --> 00:18:59,199 Speaker 1: You'll be deadI at the range hobbies that differentiator, that 336 00:18:59,240 --> 00:19:04,520 Speaker 1: are differentiated political affiliation. Let's see who we've got talkbacks, 337 00:19:04,520 --> 00:19:08,520 Speaker 1: We've got calls, let me see hold on VIP email 338 00:19:08,520 --> 00:19:10,560 Speaker 1: from Mike. I'll start with this one, Clay, Hey, guys, 339 00:19:11,160 --> 00:19:15,399 Speaker 1: definitely ultimate Frisbee. I've been playing for twenty five years. 340 00:19:15,400 --> 00:19:19,040 Speaker 1: I'm now fifty seven, and the sport is loaded with 341 00:19:19,240 --> 00:19:23,080 Speaker 1: leftist That's a great call. I would great at Frisbee's sport. 342 00:19:23,160 --> 00:19:25,159 Speaker 1: I wouldn't really have thought about it very much. But 343 00:19:25,200 --> 00:19:28,240 Speaker 1: that is interesting. I'm not trying to cast aspersions. I 344 00:19:28,280 --> 00:19:30,560 Speaker 1: don't need the ultimate Frisbee community come after me, but 345 00:19:30,600 --> 00:19:34,639 Speaker 1: there is something of an association with the smoking of 346 00:19:34,680 --> 00:19:39,200 Speaker 1: certain substances and the playing of Ultimate Frisbee on college campuses. 347 00:19:39,359 --> 00:19:42,479 Speaker 1: I knew the frisbee guys a lot of hemp. They 348 00:19:42,560 --> 00:19:46,720 Speaker 1: wore a lot of hemp. Also ponytails. I would say, 349 00:19:46,720 --> 00:19:49,680 Speaker 1: if you're a man with a ponytail, maybe also a 350 00:19:49,680 --> 00:19:52,919 Speaker 1: man bun, you are more likely to vote Kamala than 351 00:19:52,960 --> 00:19:56,000 Speaker 1: a man with a normal haircut. Does that makes sense? 352 00:19:56,080 --> 00:19:58,680 Speaker 1: Like if you have a ponytail, not a woman. If 353 00:19:58,720 --> 00:20:00,920 Speaker 1: you are a man with a ponytail, you are more 354 00:20:01,080 --> 00:20:04,000 Speaker 1: likely to vote Kamala than a man with like a 355 00:20:04,080 --> 00:20:08,560 Speaker 1: traditional haircut. Are ponytail guys are now going to be furious? 356 00:20:08,920 --> 00:20:12,040 Speaker 1: But I mean, like, ponytail guys are gonna come for 357 00:20:12,080 --> 00:20:14,480 Speaker 1: you right now. I'm just listening. There's not that many 358 00:20:14,520 --> 00:20:16,840 Speaker 1: ponytail guys. If I see a guy with a ponytail, 359 00:20:16,880 --> 00:20:18,879 Speaker 1: I'm not like, you know that guy is a huge 360 00:20:18,920 --> 00:20:21,760 Speaker 1: Trump supporter. I think it was more early nineties. I 361 00:20:21,800 --> 00:20:24,040 Speaker 1: feel like ponytails had a little bit more of a moment. 362 00:20:24,119 --> 00:20:26,560 Speaker 1: You know, people are going for it, just like them 363 00:20:26,600 --> 00:20:29,879 Speaker 1: with the grunge scene. The goateee became much more of 364 00:20:29,920 --> 00:20:34,960 Speaker 1: a thing like bearded men. Yes, I remember the goatee, 365 00:20:35,080 --> 00:20:39,720 Speaker 1: but bearded men, not men with beards. Some might say 366 00:20:40,320 --> 00:20:42,600 Speaker 1: that there could be somebody on the ticket with one. 367 00:20:43,200 --> 00:20:46,920 Speaker 1: I'm talking about bearded men. I think we're more likely 368 00:20:47,000 --> 00:20:49,240 Speaker 1: to vote Trump, right, Like if I just if you 369 00:20:49,440 --> 00:20:53,040 Speaker 1: only told me, like, hey, what is a male characteristic 370 00:20:53,080 --> 00:20:55,720 Speaker 1: that you could point to that would vote Trump? I 371 00:20:55,760 --> 00:20:58,480 Speaker 1: would say a beard would be a good guess for men, 372 00:20:58,720 --> 00:21:01,480 Speaker 1: an actual facial beer or not a woman. I also 373 00:21:01,520 --> 00:21:03,760 Speaker 1: think to Trump wins, he should grow a beard. It 374 00:21:03,760 --> 00:21:05,880 Speaker 1: would be epic. But that's there's a there's a meme 375 00:21:05,960 --> 00:21:07,959 Speaker 1: of Trump with a beard. I think it would be 376 00:21:08,400 --> 00:21:11,199 Speaker 1: incredible if Trump grew a Yeah, let's take some of 377 00:21:11,200 --> 00:21:14,399 Speaker 1: these cyclist callers here, Steve and Santa Barbara, a lovely 378 00:21:14,440 --> 00:21:20,120 Speaker 1: part of the country. What's up Steve? Hey, guys, Hey, yeah, 379 00:21:20,200 --> 00:21:24,080 Speaker 1: you called us? What am I wrong on the cyclist front? 380 00:21:25,560 --> 00:21:29,160 Speaker 4: Partially wrong? On first off, it's not neapremuscra, and there's 381 00:21:29,280 --> 00:21:32,800 Speaker 4: numerous reasons to wear the craft. But I would say, 382 00:21:32,800 --> 00:21:36,600 Speaker 4: in the old days, there's probably ten percent conservative cyclist 383 00:21:36,640 --> 00:21:38,600 Speaker 4: and that might have creeped up to forty percent now 384 00:21:39,880 --> 00:21:40,520 Speaker 4: I remember, Well. 385 00:21:40,400 --> 00:21:42,159 Speaker 1: That's quite a big move. But you would if you 386 00:21:42,320 --> 00:21:44,280 Speaker 1: had to stake your life on it. And because I 387 00:21:44,359 --> 00:21:48,360 Speaker 1: know a lot of people out there respond anytime you 388 00:21:48,520 --> 00:21:53,840 Speaker 1: talk about general groups by saying I am ex and 389 00:21:54,080 --> 00:21:57,919 Speaker 1: I do why, that doesn't mean the group is wrong. Right, So, 390 00:21:58,040 --> 00:22:02,840 Speaker 1: like women are going to vote for Kamala according to 391 00:22:02,880 --> 00:22:05,439 Speaker 1: the data, and men are going to vote for Trump, 392 00:22:05,520 --> 00:22:08,720 Speaker 1: that doesn't mean that some men aren't voting Kamala or 393 00:22:08,800 --> 00:22:14,720 Speaker 1: some women aren't voting Trump. Your individual choice doesn't eliminate 394 00:22:14,800 --> 00:22:19,159 Speaker 1: the overall statistical reality. In other words, your anecdote doesn't 395 00:22:19,200 --> 00:22:22,239 Speaker 1: eliminate the rule. So would you agree with me that 396 00:22:22,440 --> 00:22:27,320 Speaker 1: bicyclist in general, as a cyclist yourself, would vote Kamala 397 00:22:27,440 --> 00:22:28,119 Speaker 1: over Trump. 398 00:22:29,840 --> 00:22:32,600 Speaker 4: I would partially agree with you. I think that titles turning. 399 00:22:32,640 --> 00:22:34,960 Speaker 4: I think Democrats has screwed up so royally that even 400 00:22:35,280 --> 00:22:37,360 Speaker 4: a diehard Democrat has to look at what they've done 401 00:22:37,440 --> 00:22:38,760 Speaker 4: in saying people are idiot. 402 00:22:39,320 --> 00:22:41,320 Speaker 5: That's issue. That's the way I see it. 403 00:22:42,920 --> 00:22:44,520 Speaker 4: Yeah, I have to agree with you that I would 404 00:22:44,520 --> 00:22:45,600 Speaker 4: say so but it's turning. 405 00:22:45,720 --> 00:22:46,280 Speaker 6: It's turning. 406 00:22:46,560 --> 00:22:49,760 Speaker 1: And all right, well, I hope more of your lycra 407 00:22:50,280 --> 00:22:53,240 Speaker 1: clad brothers and sisters in the cycling world will vote 408 00:22:53,240 --> 00:22:56,480 Speaker 1: Trump in this cycle. That would be fantastic. Lou and 409 00:22:56,720 --> 00:23:01,480 Speaker 1: Sarasota another cyclist for Trump. Here a fellow Floridian. What's up, 410 00:23:01,560 --> 00:23:03,520 Speaker 1: Lou play. 411 00:23:03,400 --> 00:23:05,320 Speaker 3: Bud, Good afternoon. Thank you for taking my call. I 412 00:23:05,320 --> 00:23:09,160 Speaker 3: appreciate it. Hey or to see guys. Uh So, Yes, 413 00:23:09,200 --> 00:23:13,520 Speaker 3: I'm start so, I'm I'm a likero wearing guy. I 414 00:23:13,560 --> 00:23:18,720 Speaker 3: also like ars, shotguns, football. Uh So. I will say this, 415 00:23:18,880 --> 00:23:21,240 Speaker 3: since we moved here about two years ago, two and 416 00:23:21,280 --> 00:23:23,920 Speaker 3: a half years ago, there's a fair amount of contendency 417 00:23:23,960 --> 00:23:26,600 Speaker 3: of people that do like Trump or ride bicycles. But 418 00:23:26,640 --> 00:23:29,960 Speaker 3: I also think it's geographical because when we lived in Baltimore, 419 00:23:30,440 --> 00:23:32,760 Speaker 3: it was very hard to find anybody that was conservative 420 00:23:32,760 --> 00:23:34,840 Speaker 3: in the group that we wrote with, which were hundreds 421 00:23:34,880 --> 00:23:35,240 Speaker 3: of people. 422 00:23:35,320 --> 00:23:37,520 Speaker 1: Right, Well, you're gonna find that with any hobby, right 423 00:23:37,560 --> 00:23:41,560 Speaker 1: So we're trying to assess nationally what the what the 424 00:23:41,600 --> 00:23:44,320 Speaker 1: political breakdown of some of these hobbies would be. And 425 00:23:44,560 --> 00:23:46,680 Speaker 1: by the way, I'm open, I think this is super 426 00:23:46,680 --> 00:23:49,520 Speaker 1: fascinating stuff. I'm open to somebody hitting me with and 427 00:23:49,680 --> 00:23:52,120 Speaker 1: me being like, you know what, that's genius. I think 428 00:23:52,119 --> 00:23:55,159 Speaker 1: you're definitely right. Again, I went weightlifting. You tend to 429 00:23:55,280 --> 00:23:59,400 Speaker 1: vote for Trump and bicycling, I would think you tend 430 00:23:59,480 --> 00:24:02,560 Speaker 1: to vote for I'm trying not to pick something that 431 00:24:02,600 --> 00:24:07,679 Speaker 1: would overwhelmingly be one gender or another. Right, So there 432 00:24:07,680 --> 00:24:10,200 Speaker 1: are certain things like that men do more than women, 433 00:24:10,240 --> 00:24:13,119 Speaker 1: and so I do need to get a sense of 434 00:24:13,160 --> 00:24:17,600 Speaker 1: your judgment here. What is worse to you people who 435 00:24:18,680 --> 00:24:22,119 Speaker 1: use leaf blowers before nine o'clock in the morning or 436 00:24:22,320 --> 00:24:25,840 Speaker 1: drivers who encroach on the cyclist lane. 437 00:24:27,600 --> 00:24:30,239 Speaker 3: I would say drivers, because leaf blowers should be able 438 00:24:30,240 --> 00:24:31,560 Speaker 3: to get up at eight o'clock and more than do 439 00:24:31,600 --> 00:24:31,960 Speaker 3: their work. 440 00:24:33,000 --> 00:24:37,520 Speaker 1: Oh man, he's pro leaf blowing early morning. We got 441 00:24:37,520 --> 00:24:39,320 Speaker 1: a leaf blower who called in. Do we have the 442 00:24:39,400 --> 00:24:42,160 Speaker 1: leaf blower who left me a message? Because I think, yeah, 443 00:24:42,200 --> 00:24:43,879 Speaker 1: we got to talk back on a leaf blower. For 444 00:24:43,880 --> 00:24:45,760 Speaker 1: those of you out there, I'm trying to make the 445 00:24:45,760 --> 00:24:50,280 Speaker 1: world more civilized. Leaf blowing should only exist from nine 446 00:24:50,280 --> 00:24:52,719 Speaker 1: am in the morning to nine pm at night. It 447 00:24:52,760 --> 00:24:55,600 Speaker 1: gives you twelve hours. That's plenty of time to blow 448 00:24:55,680 --> 00:24:58,280 Speaker 1: leaves all over the place with your with your Heart's content. 449 00:24:58,640 --> 00:25:00,840 Speaker 1: Here is one of our guys from Say Antonio. 450 00:25:01,119 --> 00:25:04,560 Speaker 7: Hey Clay, this is Ben San Antonio landscape for Ben, 451 00:25:05,640 --> 00:25:09,080 Speaker 7: and I gotta say, if I was servicing in your area, 452 00:25:10,720 --> 00:25:13,639 Speaker 7: I definitely start at seven, maybe even six thirty, just 453 00:25:13,680 --> 00:25:17,960 Speaker 7: control you. I think it would be hilarious anyway. I 454 00:25:18,040 --> 00:25:21,399 Speaker 7: supported everything else, but this gotta get done. I'm not 455 00:25:21,359 --> 00:25:23,680 Speaker 7: gonna be working at night vision goggles. Have a great day, 456 00:25:23,720 --> 00:25:24,240 Speaker 7: go Trump. 457 00:25:25,040 --> 00:25:28,240 Speaker 1: I did think that my night vision goggles suggestion was 458 00:25:28,320 --> 00:25:31,520 Speaker 1: creative one. That's a good one. I'm telling you. I 459 00:25:31,560 --> 00:25:34,720 Speaker 1: think the landscapers near me are intentionally starting their leaf 460 00:25:34,760 --> 00:25:38,440 Speaker 1: blowers now faster than they otherwise would. I think they've 461 00:25:38,440 --> 00:25:40,240 Speaker 1: got it out for me. And I didn't know that 462 00:25:40,320 --> 00:25:43,480 Speaker 1: I had angered such a large community. If we got 463 00:25:43,600 --> 00:25:46,800 Speaker 1: leaf blowing, flutist bike riders, I'm in trouble. If there's 464 00:25:46,800 --> 00:25:49,000 Speaker 1: somebody that overlaps with all three of those, then well, So, 465 00:25:49,200 --> 00:25:51,560 Speaker 1: while we're on the subject, kind of do people mow 466 00:25:51,560 --> 00:25:54,240 Speaker 1: their lawns too much? Like what's wrong with the grass 467 00:25:54,280 --> 00:25:56,240 Speaker 1: getting a little bit longer? I feel like I live 468 00:25:56,400 --> 00:25:59,640 Speaker 1: with a tyranny of lawnmower noise everywhere I go all 469 00:25:59,680 --> 00:26:01,560 Speaker 1: the time. I'm outside of New York City where no 470 00:26:01,600 --> 00:26:05,760 Speaker 1: one has lawns. But I'm always hearing lawns being mode 471 00:26:05,920 --> 00:26:09,040 Speaker 1: is Miami. It always is growing in Miami. You don't 472 00:26:09,080 --> 00:26:10,800 Speaker 1: have an off season, right you have to cut the 473 00:26:10,840 --> 00:26:13,800 Speaker 1: grass all year round. We may have we may have 474 00:26:13,880 --> 00:26:15,920 Speaker 1: just solved this puzzle. Thank you for that, But yes, 475 00:26:16,000 --> 00:26:19,760 Speaker 1: I mean freaking lawnmowers. I mean, I think in Miami 476 00:26:19,800 --> 00:26:22,080 Speaker 1: you would have to cut your grass basically all year round. 477 00:26:22,119 --> 00:26:24,200 Speaker 1: I'm sure it grows a little bit slower in the winter, 478 00:26:24,400 --> 00:26:25,720 Speaker 1: but you just have to move to a part of 479 00:26:25,720 --> 00:26:29,000 Speaker 1: the country where you get like five months off VIPs 480 00:26:29,080 --> 00:26:31,240 Speaker 1: lighting us up here, Darlene, You guys are way off 481 00:26:31,280 --> 00:26:35,879 Speaker 1: base about cyclists. They wear lycra, not neopreneus. Okay, you 482 00:26:35,920 --> 00:26:42,359 Speaker 1: know what islastic is. Yeah, break my synthetics are a 483 00:26:42,359 --> 00:26:45,399 Speaker 1: little bit off. Look, it's the good news is that 484 00:26:45,440 --> 00:26:48,200 Speaker 1: it still looks like a teletubby. Either way, most cyclists 485 00:26:48,240 --> 00:26:50,760 Speaker 1: in our area are fireman, police officers, and real men. 486 00:26:50,840 --> 00:26:54,359 Speaker 1: They vote Republican. One's no one said cycling is a 487 00:26:54,400 --> 00:26:56,760 Speaker 1: you know, Lance Armstrong is a superstar. We're just trying 488 00:26:56,760 --> 00:27:00,320 Speaker 1: to see if there is a political affiliation and that 489 00:27:00,359 --> 00:27:04,239 Speaker 1: goes along with some of these things we didn't mention this. 490 00:27:04,720 --> 00:27:08,800 Speaker 1: Probably the easiest one is or like the biggest disparity 491 00:27:08,800 --> 00:27:10,400 Speaker 1: that you would see if you were to chart this out. 492 00:27:10,840 --> 00:27:12,840 Speaker 1: I think if you're a hunter, there's an above a 493 00:27:12,960 --> 00:27:15,320 Speaker 1: ninety percent chance you vote for very high. I think 494 00:27:15,320 --> 00:27:18,080 Speaker 1: it's probably ninety ninety five percent chance if you are 495 00:27:18,080 --> 00:27:21,240 Speaker 1: an active and avid hunter you vote for Donald Trump. 496 00:27:21,240 --> 00:27:24,120 Speaker 1: I think if you go to the gun range, it's 497 00:27:24,240 --> 00:27:28,679 Speaker 1: probably eighty percent seventy eighty percent you vote for Donald Trump. 498 00:27:28,720 --> 00:27:31,119 Speaker 1: So it's also very high. Maybe it's as high as hunting. 499 00:27:32,320 --> 00:27:33,720 Speaker 1: So we're trying to think of some of the other 500 00:27:33,800 --> 00:27:36,080 Speaker 1: activities all I think would be very high on the 501 00:27:36,119 --> 00:27:39,520 Speaker 1: Trump team. Our friend Nick Adams says, if you're a 502 00:27:39,560 --> 00:27:42,040 Speaker 1: Taylor Swift fan, you tend to vote. I said, I 503 00:27:42,040 --> 00:27:44,840 Speaker 1: thought it would be sixty five thirty five that Taylor 504 00:27:44,880 --> 00:27:47,400 Speaker 1: Swift people would vote Kamala. I think that's probably true, 505 00:27:47,400 --> 00:27:51,479 Speaker 1: although that's partly again a function of the fact that 506 00:27:51,480 --> 00:27:55,639 Speaker 1: Taylor Swift's fan base is overwhelmingly female. I think that 507 00:27:55,720 --> 00:27:57,879 Speaker 1: plays in there as well, So you don't think she 508 00:27:58,040 --> 00:28:01,520 Speaker 1: necessarily skews left among females. It's just she has such 509 00:28:01,520 --> 00:28:04,440 Speaker 1: a huge female audience, and they skew Democrat to begin 510 00:28:04,520 --> 00:28:06,440 Speaker 1: That's kind of what I thought like. I would guess 511 00:28:06,440 --> 00:28:09,800 Speaker 1: there are a lot of you know, uh right leading 512 00:28:09,880 --> 00:28:13,040 Speaker 1: twenty twenty to twenty you know, nine year old girls 513 00:28:13,080 --> 00:28:15,520 Speaker 1: in the Nashville area who love Taylor Swift, but they 514 00:28:15,560 --> 00:28:17,920 Speaker 1: don't love her politics necessarily. That would be my guest. 515 00:28:18,359 --> 00:28:21,320 Speaker 1: I think that's true. I love this by and I 516 00:28:21,320 --> 00:28:23,440 Speaker 1: would love to see the data if anybody's got data 517 00:28:23,520 --> 00:28:28,000 Speaker 1: on hobbies as a function of political voting. Uh, this 518 00:28:28,119 --> 00:28:30,760 Speaker 1: you've seen fascinating to me. You've seen the the in 519 00:28:30,880 --> 00:28:34,480 Speaker 1: terms of career or employment. The data is fascinating, and 520 00:28:34,520 --> 00:28:39,160 Speaker 1: there are very few professions that skew heavily right wing. 521 00:28:39,520 --> 00:28:42,800 Speaker 1: But there are and very few organizations, companies or you know, 522 00:28:42,920 --> 00:28:46,600 Speaker 1: or entities, I should say. You know, what you see 523 00:28:46,640 --> 00:28:50,720 Speaker 1: is that the things that still remain dominated by Again 524 00:28:50,800 --> 00:28:53,320 Speaker 1: we all understand dominated doesn't mean there aren't other people 525 00:28:53,400 --> 00:28:55,320 Speaker 1: that you know, have our Democrats that are in the 526 00:28:55,360 --> 00:29:00,000 Speaker 1: mix too, but that are overwhelmingly Republican, the marine corps 527 00:29:00,040 --> 00:29:09,600 Speaker 1: or police, firemen, general contractors, small business owners. Overall, I 528 00:29:09,600 --> 00:29:12,880 Speaker 1: think it's like sixty forty or six you know, tend 529 00:29:12,880 --> 00:29:16,800 Speaker 1: to be enemy yeah, you know, it's not like overwhelming. 530 00:29:16,880 --> 00:29:18,959 Speaker 1: But when you get on the Democrats side of things, 531 00:29:19,080 --> 00:29:23,240 Speaker 1: like ninety five percent of psychiatrists or Democrats ninety nine 532 00:29:23,320 --> 00:29:28,760 Speaker 1: percent of Google employees, or Democrats university as university professors 533 00:29:28,880 --> 00:29:31,680 Speaker 1: ninety seven percent of them or something like that, or Democrats, 534 00:29:31,720 --> 00:29:36,080 Speaker 1: I mean they have these total areas of professional dominance, 535 00:29:36,480 --> 00:29:39,280 Speaker 1: which is, you know, unfortunate for the country. By the way, 536 00:29:39,360 --> 00:29:44,400 Speaker 1: Union's overwhelmingly Democrat as well. Andrew, By the way, in Ashville, Andrew, 537 00:29:44,440 --> 00:29:47,560 Speaker 1: first of all, before we get into your criticism, how 538 00:29:47,680 --> 00:29:51,240 Speaker 1: are things in Ashville? Is the waterback power house the 539 00:29:51,280 --> 00:29:52,120 Speaker 1: situation for you? 540 00:29:53,480 --> 00:29:57,600 Speaker 6: The water's back power is back in certain areas, but 541 00:29:57,880 --> 00:30:02,680 Speaker 6: I mean, overall, it's it's going on. R can't complain, thankfully, 542 00:30:03,240 --> 00:30:05,280 Speaker 6: my family we pulled true. 543 00:30:06,120 --> 00:30:10,920 Speaker 1: All right, you just cut your pony tail off. I said, 544 00:30:10,960 --> 00:30:15,120 Speaker 1: if you had to go Beard Trump voter, ponytail mail 545 00:30:15,640 --> 00:30:19,200 Speaker 1: Kamala voter, do you want to fire back on behalf 546 00:30:19,280 --> 00:30:21,320 Speaker 1: of formerly ponytailed men. 547 00:30:23,000 --> 00:30:25,840 Speaker 6: Well, I mean I can't. I can't say that all 548 00:30:26,040 --> 00:30:30,800 Speaker 6: ponytail men will vote for Trump. But I definitely voted 549 00:30:30,840 --> 00:30:33,400 Speaker 6: for Trump and will vote for Trump. I'm more along 550 00:30:33,440 --> 00:30:36,120 Speaker 6: the lines of a moderate independent. I go for the 551 00:30:36,960 --> 00:30:38,480 Speaker 6: policies and all that, so. 552 00:30:40,920 --> 00:30:41,160 Speaker 5: I get. 553 00:30:41,280 --> 00:30:43,760 Speaker 1: But if you had, let's say that you were the 554 00:30:43,760 --> 00:30:48,080 Speaker 1: president of the Ponytailed Men of Asheville Association, and you 555 00:30:48,240 --> 00:30:51,160 Speaker 1: had everybody show up so you guys could play flutes 556 00:30:51,160 --> 00:30:55,560 Speaker 1: and ride bikes together, don't you feel don't you feel 557 00:30:55,600 --> 00:30:58,160 Speaker 1: like the vast majority of the ponytailed men of America, 558 00:30:58,200 --> 00:31:00,720 Speaker 1: when they took a break from playing flutes riding bikes, 559 00:31:00,720 --> 00:31:01,920 Speaker 1: would be voting for Kamala. 560 00:31:03,720 --> 00:31:05,760 Speaker 6: I don't know, I can't. I can't say that. Honestly, 561 00:31:06,200 --> 00:31:08,640 Speaker 6: I guess it. I guess it just fans, you know. 562 00:31:08,840 --> 00:31:12,640 Speaker 1: Uh, nobody puts nobody puts ponytail in a corner. Clay, 563 00:31:12,640 --> 00:31:14,040 Speaker 1: all right, you're not. By the way, thank you for 564 00:31:14,120 --> 00:31:16,760 Speaker 1: calling in. I'm glad that things are getting good enough 565 00:31:16,760 --> 00:31:18,840 Speaker 1: in Asheville for him to be fired up about my 566 00:31:18,920 --> 00:31:22,280 Speaker 1: take on ponytails. Uh to uh to be calling. I'm 567 00:31:22,320 --> 00:31:26,960 Speaker 1: just saying, can you think of something again, not that 568 00:31:27,200 --> 00:31:30,920 Speaker 1: is identity laden other than a ponytail where you would 569 00:31:30,920 --> 00:31:34,680 Speaker 1: be like that guy's voting for Kamala. I can't ponytail guy. 570 00:31:34,760 --> 00:31:36,680 Speaker 1: I think this is a minor thing. But I have 571 00:31:36,800 --> 00:31:39,440 Speaker 1: come across this, Uh, maybe just because we work in media. 572 00:31:40,080 --> 00:31:44,800 Speaker 1: If you wear glasses as a fashion accessory, not because 573 00:31:44,880 --> 00:31:48,760 Speaker 1: you need them to see, like prescription glasses, you're voting democrats, 574 00:31:49,160 --> 00:31:52,520 Speaker 1: like I've never been. Mark Cuban now looks like Rachel Maddow. 575 00:31:52,640 --> 00:31:56,640 Speaker 1: Like not if you wear glasses. If you wear glasses 576 00:31:56,720 --> 00:31:59,920 Speaker 1: that you don't need for vision purposes, like to hell, 577 00:32:00,160 --> 00:32:02,960 Speaker 1: you see. I think there's a very high it's a 578 00:32:02,960 --> 00:32:04,880 Speaker 1: fashion accessory. At that point, you like the way they 579 00:32:04,880 --> 00:32:07,120 Speaker 1: look on you, I think you're a democrat. Like Mark 580 00:32:07,160 --> 00:32:10,320 Speaker 1: Cuban's new glasses. That's because he's gone full democrat. I 581 00:32:10,320 --> 00:32:13,560 Speaker 1: think Elon Musk said that he's now indistinguishable from Rachel Maddow, 582 00:32:13,680 --> 00:32:16,000 Speaker 1: which when you do put them side by side, it 583 00:32:16,080 --> 00:32:19,240 Speaker 1: is really funny how similar Mark Cuban and Rachel Maddow look. 584 00:32:19,600 --> 00:32:23,800 Speaker 1: I will say that, all right, pony, we'll take some 585 00:32:23,840 --> 00:32:26,840 Speaker 1: more of your calls, cut your ponytails off. But I 586 00:32:26,880 --> 00:32:29,600 Speaker 1: want to tell everybody out there to get signed up 587 00:32:29,720 --> 00:32:34,320 Speaker 1: right now for prize picks tomorrow. What's today, Today's Tuesday, Thursday. 588 00:32:34,800 --> 00:32:37,160 Speaker 1: I'm going to give you a pick that is going 589 00:32:37,200 --> 00:32:40,160 Speaker 1: to win. That is, I'm going to give you a 590 00:32:40,240 --> 00:32:43,760 Speaker 1: ten to one payout, you pick more or less on players. 591 00:32:43,760 --> 00:32:45,560 Speaker 1: You can play in Florida, you can play in Texas, 592 00:32:45,600 --> 00:32:47,560 Speaker 1: you can play in California, you can play in Georgia. 593 00:32:47,600 --> 00:32:51,360 Speaker 1: Thirty plus states you can play and you get fifty 594 00:32:51,400 --> 00:32:54,080 Speaker 1: dollars if you just go to prizepicks dot com use 595 00:32:54,120 --> 00:32:59,200 Speaker 1: my name Clay right now. Prizepicks dot com, my name Clay. Clay, 596 00:32:59,760 --> 00:33:02,760 Speaker 1: get hooked up right now, and you will be well 597 00:33:02,800 --> 00:33:04,680 Speaker 1: on your way to being able to play along with us. 598 00:33:04,760 --> 00:33:06,600 Speaker 1: Or maybe you think I'm a moron. Maybe you got 599 00:33:06,640 --> 00:33:08,880 Speaker 1: a ponytail and you're on your bike right now and 600 00:33:08,920 --> 00:33:10,760 Speaker 1: you just want to flick the middle finger up in 601 00:33:10,800 --> 00:33:13,880 Speaker 1: my direction because I'm so wrong about you. You could 602 00:33:13,920 --> 00:33:17,680 Speaker 1: take the opposite side. Prize picks dot com. My name Clay. 603 00:33:17,760 --> 00:33:20,800 Speaker 1: That's pricepicks dot com, my name Clay. You get fifty 604 00:33:20,800 --> 00:33:23,600 Speaker 1: bucks to do it today, learn. 605 00:33:23,800 --> 00:33:27,040 Speaker 2: Laugh and join us on the weekend on our Sunday 606 00:33:27,080 --> 00:33:29,920 Speaker 2: Hang with Clay and Buck podcast. Fight it on the 607 00:33:29,960 --> 00:33:32,520 Speaker 2: iHeart app or wherever you get your podcasts. 608 00:33:32,640 --> 00:33:35,800 Speaker 1: Closing up shop here on Clay and Buck for the day, 609 00:33:36,360 --> 00:33:40,120 Speaker 1: and we are deluge. The skies have opened up. The 610 00:33:40,240 --> 00:33:43,600 Speaker 1: hail is hitting us like the size of golf balls 611 00:33:43,600 --> 00:33:46,520 Speaker 1: here with all of your emails and talkbacks and everything 612 00:33:47,080 --> 00:33:49,600 Speaker 1: on some of the fun we're having. Look, we spent 613 00:33:49,600 --> 00:33:52,280 Speaker 1: the first two hours talking about the election and where 614 00:33:52,320 --> 00:33:54,240 Speaker 1: we are today. If you missed any of that, please 615 00:33:54,280 --> 00:33:56,840 Speaker 1: go back listen on the Clay and Buck app. The 616 00:33:56,880 --> 00:33:59,920 Speaker 1: podcast is available for you along with great talents like 617 00:34:00,120 --> 00:34:05,360 Speaker 1: Sean Parnell, Carol Markwitz, Lisa Booth, Tutor Dixon. So they're 618 00:34:05,360 --> 00:34:07,480 Speaker 1: all on the klan Buck Network. But we did everything 619 00:34:07,520 --> 00:34:09,120 Speaker 1: you need to know about the election today. We talked 620 00:34:09,120 --> 00:34:13,359 Speaker 1: about now we're talking about silliness. Jay in Fayetteville, North Carolina. Jay, 621 00:34:13,920 --> 00:34:16,759 Speaker 1: you I have to say you may have actually the 622 00:34:16,800 --> 00:34:20,719 Speaker 1: best answer and the the clearest insight on this conundrum 623 00:34:20,719 --> 00:34:21,520 Speaker 1: of all go ahead. 624 00:34:21,920 --> 00:34:29,960 Speaker 5: Absolutely, anyone who wears a mask nowadays is definitely voting 625 00:34:29,960 --> 00:34:31,440 Speaker 5: for Kamala, no question. 626 00:34:31,800 --> 00:34:32,759 Speaker 1: I think that may be. 627 00:34:32,920 --> 00:34:33,120 Speaker 5: Jay. 628 00:34:33,160 --> 00:34:34,960 Speaker 1: I think you get the prize if there was one. 629 00:34:35,040 --> 00:34:36,719 Speaker 1: I wish we had a prize. Sorry, but we do 630 00:34:36,840 --> 00:34:39,080 Speaker 1: get to have you talk to everybody across the country. 631 00:34:39,320 --> 00:34:42,839 Speaker 1: Clay ninety nine point nine percent accuracy. I mean that's 632 00:34:42,840 --> 00:34:45,840 Speaker 1: more accuracy than like most home pregnancy tests, you know 633 00:34:45,880 --> 00:34:48,080 Speaker 1: what I mean, Like do you have a mask on 634 00:34:48,280 --> 00:34:50,840 Speaker 1: at this point, you're voting Kamala. It's that is a 635 00:34:50,880 --> 00:34:54,640 Speaker 1: great point. I would be stunned if there is a 636 00:34:54,800 --> 00:34:59,200 Speaker 1: Trump wearing Trump voting mask wearer anywhere in the country 637 00:34:59,239 --> 00:35:00,960 Speaker 1: right now. I mean, I mean, honestly, I would just 638 00:35:00,960 --> 00:35:03,680 Speaker 1: be like, how is this possible? And I'm not talking 639 00:35:03,760 --> 00:35:08,080 Speaker 1: like somebody might be going through chemotherapy, right You're so 640 00:35:08,400 --> 00:35:11,640 Speaker 1: incredibly simp's talking about if if you're a lumberjack and 641 00:35:11,719 --> 00:35:13,839 Speaker 1: you don't want to inhale sawdust for your job, We're 642 00:35:13,840 --> 00:35:17,920 Speaker 1: talking to talk about you're on an airplane and you 643 00:35:18,239 --> 00:35:21,480 Speaker 1: are sitting there in a mask, you are one hundred 644 00:35:21,560 --> 00:35:24,560 Speaker 1: percent voting for Kamala. We've also got an I've got 645 00:35:24,640 --> 00:35:28,360 Speaker 1: interested with Gerald in Daytona Beach, a Floridian. What's going on? Gerald? 646 00:35:29,640 --> 00:35:32,399 Speaker 5: Hey, this is the Daytona Beach nine and sunny down 647 00:35:32,440 --> 00:35:36,399 Speaker 5: here after the hurricanes. But last week was Mike Toberfast, 648 00:35:36,400 --> 00:35:40,759 Speaker 5: which is four days a motorcycles and ponytails, and I 649 00:35:40,800 --> 00:35:42,600 Speaker 5: wore my Trump hat. By the way, first day of 650 00:35:42,600 --> 00:35:46,360 Speaker 5: early voting was here yesterday and I went. But I 651 00:35:46,520 --> 00:35:48,520 Speaker 5: kind of did a survey. Well, I was walking down 652 00:35:48,560 --> 00:35:52,600 Speaker 5: Main Street, which had five hundred thousand bikers. One person, 653 00:35:53,080 --> 00:35:56,880 Speaker 5: one person I found that would vote for Kamala Harris. 654 00:35:57,200 --> 00:36:01,040 Speaker 5: Everybody else love the Trump hat and would vote. We're 655 00:36:01,080 --> 00:36:03,879 Speaker 5: all boot collar workers and that's that we bought our bike. 656 00:36:04,520 --> 00:36:07,360 Speaker 1: Thank you for the call. Now I would say, riding 657 00:36:07,400 --> 00:36:12,280 Speaker 1: a motorcycle cancels out the ponytail, Well, now I was gone. 658 00:36:12,880 --> 00:36:14,919 Speaker 1: If you're a biker and you have a ponytail, it's 659 00:36:14,960 --> 00:36:17,120 Speaker 1: like if you were a Viking in the eight hundreds 660 00:36:17,120 --> 00:36:20,600 Speaker 1: and you have a ponytail. Different situation, different situations, different 661 00:36:20,640 --> 00:36:25,800 Speaker 1: situation than ponytail, ultimate frisbee or ponytail like weed smoker, 662 00:36:26,920 --> 00:36:29,399 Speaker 1: you know, build from the office and accounting. We're talking 663 00:36:29,400 --> 00:36:32,719 Speaker 1: about if you walk around wearing birkenstocks with a ponytail, right, 664 00:36:32,760 --> 00:36:35,200 Speaker 1: that's a little different. Man bun might be a better 665 00:36:35,280 --> 00:36:36,160 Speaker 1: way to describe it. 666 00:36:36,200 --> 00:36:36,279 Speaker 3: Now. 667 00:36:36,360 --> 00:36:38,319 Speaker 1: I don't even know if man buns are still a thing. 668 00:36:38,400 --> 00:36:42,360 Speaker 1: They work were for a while. What about Samuraiz, You 669 00:36:42,440 --> 00:36:42,839 Speaker 1: know what I mean.