1 00:00:00,000 --> 00:00:03,520 Speaker 1: Welcome in everybody to the Monday edition of the Clay 2 00:00:03,520 --> 00:00:05,120 Speaker 1: Travis and Buck Sexton Show. 3 00:00:05,200 --> 00:00:07,800 Speaker 2: Clay here with me in South Florida. 4 00:00:08,760 --> 00:00:13,320 Speaker 1: We made a pilgrimage to Poppy Steak last night. 5 00:00:13,360 --> 00:00:14,880 Speaker 2: Yes, Clay one is. 6 00:00:14,880 --> 00:00:18,240 Speaker 1: Bet and I'm a man who pays his debts, pays 7 00:00:18,280 --> 00:00:21,680 Speaker 1: his bets, and so we went for the most outrageous 8 00:00:21,680 --> 00:00:23,960 Speaker 1: steak we could possibly find. It was actually delicious And 9 00:00:24,120 --> 00:00:26,840 Speaker 1: if you want to see the video, it's already over 10 00:00:26,880 --> 00:00:31,680 Speaker 1: a million views on Twitter. But go to Clayandbuck dot com. 11 00:00:31,720 --> 00:00:33,080 Speaker 1: We've got the video. It's a lot of fun it 12 00:00:33,120 --> 00:00:36,400 Speaker 1: trusts me, you'll giggle, you'll laugh, You'll have some fun 13 00:00:36,440 --> 00:00:39,120 Speaker 1: with it. We need a little bit of the lighthearted 14 00:00:39,640 --> 00:00:43,920 Speaker 1: while we're in focus mode here. Overall, forty two days 15 00:00:44,320 --> 00:00:48,239 Speaker 1: from the election. I cannot believe how close this is. 16 00:00:48,320 --> 00:00:51,040 Speaker 1: I mean, the numbers for when people are going to 17 00:00:51,080 --> 00:00:53,360 Speaker 1: be early voting, I mean you can count this in days, 18 00:00:53,400 --> 00:00:57,360 Speaker 1: not weeks. Really now a ton coming in over the weekend. 19 00:00:57,400 --> 00:01:02,720 Speaker 1: We're in the absolute thick of the election, melee right now. 20 00:01:03,320 --> 00:01:05,920 Speaker 1: And like I said, you know, we were out last 21 00:01:05,959 --> 00:01:08,640 Speaker 1: night Boppy Steak having a good time. Some big news 22 00:01:08,680 --> 00:01:12,000 Speaker 1: stories coming in that we'll dive into with you. We've 23 00:01:12,040 --> 00:01:14,880 Speaker 1: got Scott Jennings from CNN second hour. We're gonna ask 24 00:01:14,959 --> 00:01:17,440 Speaker 1: him what's it like to go into the communist den 25 00:01:17,680 --> 00:01:19,360 Speaker 1: I used to do it. You know, a lot of 26 00:01:19,360 --> 00:01:21,640 Speaker 1: what it's I do, I do. It's not always fun, 27 00:01:22,120 --> 00:01:23,440 Speaker 1: but he's been doing a good job. And then our 28 00:01:23,480 --> 00:01:26,080 Speaker 1: friends Carol Markwitz and Merrick Catherine Ham third hour of 29 00:01:26,080 --> 00:01:30,200 Speaker 1: the program, they're launching a new podcast which is like 30 00:01:30,240 --> 00:01:35,160 Speaker 1: two moms talking about stuff. Yes, two great conservative moms 31 00:01:35,200 --> 00:01:37,720 Speaker 1: who are talking about the world and politics and moms stuff. 32 00:01:37,720 --> 00:01:39,679 Speaker 1: And I think you're really gonna like it. So we 33 00:01:39,760 --> 00:01:42,440 Speaker 1: will get to all of that. A lot of Poland 34 00:01:42,440 --> 00:01:46,440 Speaker 1: coming in. I know Clay is excited to dive into 35 00:01:46,480 --> 00:01:52,400 Speaker 1: those numbers. I would just say the IRS union has 36 00:01:52,440 --> 00:01:54,000 Speaker 1: apparently endorsed Kamala Harris. 37 00:01:54,040 --> 00:01:56,080 Speaker 3: Can you believe that the IRS has a union? 38 00:01:56,200 --> 00:02:00,800 Speaker 1: I mean, no public right, no public sector entity should 39 00:02:00,840 --> 00:02:03,360 Speaker 1: have a union. At the dawn of unions, you can 40 00:02:03,400 --> 00:02:05,240 Speaker 1: go back and look at this one hundred years ago, 41 00:02:05,280 --> 00:02:08,200 Speaker 1: the dawn of real union power in this country. I 42 00:02:08,240 --> 00:02:11,799 Speaker 1: think even FDR was like, we can't have public sector unions. 43 00:02:11,800 --> 00:02:13,919 Speaker 1: That would be crazy. Well, now a lot of unions 44 00:02:14,000 --> 00:02:17,120 Speaker 1: or public sector or public school teachers, et cetera, very 45 00:02:17,160 --> 00:02:20,239 Speaker 1: powerful unions. At that they endorse Kamala Harris, which is 46 00:02:20,320 --> 00:02:21,839 Speaker 1: kind of funny. I think she was like, I don't 47 00:02:21,880 --> 00:02:24,200 Speaker 1: know if I really need the irs to endorse me 48 00:02:24,320 --> 00:02:28,480 Speaker 1: right now, but we've got a lot of that. Also, 49 00:02:29,000 --> 00:02:31,760 Speaker 1: the Teamsters, one of the largest labor unions in the country, 50 00:02:31,919 --> 00:02:36,080 Speaker 1: had a poll come out that showed Donald Trump is 51 00:02:36,160 --> 00:02:39,760 Speaker 1: the choice of the Teamsters membership, not the leadership necessarily, 52 00:02:39,840 --> 00:02:42,360 Speaker 1: but the membership. So they have not endorsed Kamala Harris. 53 00:02:42,320 --> 00:02:45,720 Speaker 1: But Clay, let's hop right into this. A lot of 54 00:02:45,720 --> 00:02:47,720 Speaker 1: different ways to look at and parse the data. I mean, 55 00:02:47,760 --> 00:02:52,520 Speaker 1: I saw the CBS battleground poll came out yesterday. People 56 00:02:52,560 --> 00:02:54,519 Speaker 1: are looking at this one off the weekend. It has 57 00:02:54,760 --> 00:02:59,919 Speaker 1: Harris up pretty much in all of the critical battleground states. 58 00:03:00,440 --> 00:03:02,400 Speaker 1: So the left was getting all excited about this. But 59 00:03:03,080 --> 00:03:05,840 Speaker 1: the margin of era is four points, and in all 60 00:03:05,840 --> 00:03:10,560 Speaker 1: these polls she's up a point two points. I think, actually, 61 00:03:10,760 --> 00:03:12,680 Speaker 1: if you look at the data more closely, at Trump 62 00:03:12,919 --> 00:03:15,960 Speaker 1: is looking good, but it is very close. 63 00:03:16,360 --> 00:03:19,160 Speaker 3: So here is what came out this morning that I 64 00:03:19,200 --> 00:03:24,560 Speaker 3: think is significant. The New York Times had polls of Arizona, Georgia, 65 00:03:24,760 --> 00:03:28,480 Speaker 3: and North Carolina that they released, and we're now to 66 00:03:28,560 --> 00:03:32,720 Speaker 3: the time where I think you can start counting in 67 00:03:32,840 --> 00:03:36,880 Speaker 3: terms of where the numbers are and how they're likely 68 00:03:36,960 --> 00:03:40,280 Speaker 3: to break, And in particular, let me hit you with 69 00:03:40,360 --> 00:03:44,840 Speaker 3: these data points. Arizona, according to the New York Times, 70 00:03:45,000 --> 00:03:50,800 Speaker 3: Trump is up five, North Carolina Trump up two, Georgia 71 00:03:51,360 --> 00:03:55,920 Speaker 3: Trump up four. Okay, so why do those three matter? 72 00:03:56,520 --> 00:04:01,080 Speaker 3: If that is correct, If Arizona, Georgia, and North Carolina 73 00:04:01,200 --> 00:04:05,120 Speaker 3: are all going to go Trump, the only pathway that 74 00:04:05,200 --> 00:04:11,520 Speaker 3: Kamala Harris would have to winning this race is sweeping Pennsylvania, Michigan, 75 00:04:12,040 --> 00:04:15,360 Speaker 3: and Wisconsin. And here let me hit you with something 76 00:04:15,400 --> 00:04:19,160 Speaker 3: that matters. If that is correct. If Trump is going 77 00:04:19,200 --> 00:04:22,200 Speaker 3: to flip Arizona and Georgia back red and hold on 78 00:04:22,279 --> 00:04:28,279 Speaker 3: to North Carolina, this race could come down to Omaha, Nebraska. 79 00:04:28,560 --> 00:04:31,960 Speaker 3: And we were just talking about this off air before 80 00:04:32,000 --> 00:04:35,200 Speaker 3: we started the show today. There is a movement right 81 00:04:35,240 --> 00:04:39,360 Speaker 3: now in Nebraska to make the state win or take all. 82 00:04:40,200 --> 00:04:45,080 Speaker 3: If that were to occur, that would eliminate the pathway 83 00:04:45,560 --> 00:04:48,679 Speaker 3: of Kamala only having to win the big ten states 84 00:04:48,680 --> 00:04:53,160 Speaker 3: of Pennsylvania, Michigan and Wisconsin, and would actually mean that 85 00:04:53,200 --> 00:04:57,000 Speaker 3: she would need to win Nevada, Arizona, Georgia, or North 86 00:04:57,040 --> 00:05:00,839 Speaker 3: Carolina on top of those states. To me, if you 87 00:05:00,920 --> 00:05:05,000 Speaker 3: are listening to us in Nebraska right now, Democrats would 88 00:05:05,040 --> 00:05:08,400 Speaker 3: one hundred percent do this if they were in this 89 00:05:08,520 --> 00:05:13,120 Speaker 3: situation that that could be the difference Omaha, Nebraska, who 90 00:05:13,320 --> 00:05:17,120 Speaker 3: how they vote in that little one electoral vote market 91 00:05:17,560 --> 00:05:20,200 Speaker 3: between Kamala getting to two seventy or not. 92 00:05:20,839 --> 00:05:24,359 Speaker 1: Now, the best news and I got into this or 93 00:05:24,640 --> 00:05:26,520 Speaker 1: was setting this up a little bit play with those 94 00:05:26,520 --> 00:05:31,000 Speaker 1: CBS numbers, The best news is that they're trying to do. 95 00:05:31,080 --> 00:05:33,040 Speaker 1: They show right now a lot of polls show Kamala 96 00:05:33,160 --> 00:05:36,720 Speaker 1: ahead in some swing states. It's within the margin of era, though, 97 00:05:36,760 --> 00:05:40,000 Speaker 1: as I said, which is polster speak for like, you know, 98 00:05:40,200 --> 00:05:42,440 Speaker 1: we could be off on this one, and if we are, 99 00:05:42,520 --> 00:05:45,640 Speaker 1: we're not even gonna take any lumps for it, because 100 00:05:45,640 --> 00:05:47,840 Speaker 1: we're telling you that it's you know, plus or minus four, 101 00:05:47,920 --> 00:05:51,520 Speaker 1: which is a pretty big margin error. But anyway, especially 102 00:05:51,560 --> 00:05:54,520 Speaker 1: when you're talking about a fifty to fifty political electorate 103 00:05:54,600 --> 00:05:57,440 Speaker 1: more or less, right, I mean four point if Trump 104 00:05:57,440 --> 00:05:59,960 Speaker 1: were to win by a solid four points, for example, 105 00:06:00,080 --> 00:06:04,480 Speaker 1: you're talking about annihilation in the electoral college. So here's 106 00:06:05,040 --> 00:06:08,840 Speaker 1: what I think is so critical. CNN's own data guy 107 00:06:09,800 --> 00:06:12,359 Speaker 1: talked about how if you look at the numbers today 108 00:06:12,960 --> 00:06:17,000 Speaker 1: and the polls the same posters are off by the 109 00:06:17,120 --> 00:06:20,880 Speaker 1: same degree they were not in twenty sixteen, but in 110 00:06:21,000 --> 00:06:25,320 Speaker 1: twenty twenty. Here this is cut two. Here is what. 111 00:06:25,200 --> 00:06:26,840 Speaker 2: That would mean for Donald Trump. 112 00:06:26,920 --> 00:06:29,400 Speaker 4: Look at Donald Trump's electoral vote total right now, if 113 00:06:29,400 --> 00:06:31,599 Speaker 4: the polls are exactly right, two hundred and sixty two. 114 00:06:31,839 --> 00:06:34,120 Speaker 2: But let's say the polls are off. 115 00:06:34,120 --> 00:06:36,240 Speaker 4: Like they were back in twenty twenty. 116 00:06:36,000 --> 00:06:39,160 Speaker 2: Look where he goes. He goes to three hundred and twelve. 117 00:06:39,520 --> 00:06:42,960 Speaker 4: Why is that because the polls underestimated Donald Trump in 118 00:06:43,000 --> 00:06:45,839 Speaker 4: twenty twenty. So the bottom line is, instead of losing 119 00:06:45,920 --> 00:06:48,480 Speaker 4: those great lake battleground states, he wins all of them. 120 00:06:48,480 --> 00:06:51,120 Speaker 4: He obviously holds on to North Carolina, Georgia, and Arizona, 121 00:06:51,440 --> 00:06:54,920 Speaker 4: and he gains Nevada. So if the polls are as 122 00:06:54,960 --> 00:06:57,240 Speaker 4: good as they were in twenty twenty, despite the fact 123 00:06:57,240 --> 00:06:59,920 Speaker 4: that at this particular hour, Donald Trump trails and enough 124 00:07:00,240 --> 00:07:02,479 Speaker 4: to give Kamala Harris the victory, the polls were off 125 00:07:02,520 --> 00:07:03,960 Speaker 4: like they were in twenty twenty. 126 00:07:03,680 --> 00:07:05,800 Speaker 2: Donald Trump would actually win the election. 127 00:07:07,080 --> 00:07:11,440 Speaker 1: Three hundred and twelve electoral votes for Donald Trump. If 128 00:07:11,480 --> 00:07:15,560 Speaker 1: the polls that we're looking at today mirror the reality 129 00:07:15,760 --> 00:07:18,720 Speaker 1: of what the polls showed or the reality what the 130 00:07:18,800 --> 00:07:21,160 Speaker 1: votes were, I should say in twenty twenty. 131 00:07:20,880 --> 00:07:23,640 Speaker 3: So here's the problem that we have. As it comes 132 00:07:23,720 --> 00:07:26,680 Speaker 3: big picture, we should add one more. There is a 133 00:07:26,800 --> 00:07:32,400 Speaker 3: Minneapolis Star Tribune poll that shows Kamala only up five 134 00:07:32,680 --> 00:07:38,520 Speaker 3: in Minnesota. Biden won Minnesota by seven in twenty twenty, 135 00:07:39,000 --> 00:07:43,880 Speaker 3: so if Kamala only won Mini app Minnesota by five, 136 00:07:44,360 --> 00:07:46,800 Speaker 3: that would be a very bad sign for her, particularly 137 00:07:46,880 --> 00:07:49,640 Speaker 3: because she added Tim Walls as her VP and he's 138 00:07:49,680 --> 00:07:52,960 Speaker 3: the governor of Minnesota, which theoretically would help somewhat in 139 00:07:53,000 --> 00:07:57,360 Speaker 3: that state. But here is the real question, and this 140 00:07:57,440 --> 00:07:59,520 Speaker 3: is one that we're going to be asking as we 141 00:07:59,600 --> 00:08:02,640 Speaker 3: sit six weeks in a day from actual election day, 142 00:08:02,800 --> 00:08:05,400 Speaker 3: as many of you out there are now able to 143 00:08:05,480 --> 00:08:09,960 Speaker 3: go out and vote, as early voting becomes in earnest 144 00:08:10,320 --> 00:08:14,080 Speaker 3: more and more common across the country, what are the 145 00:08:14,120 --> 00:08:19,440 Speaker 3: polls accuracy in twenty sixteen and twenty twenty, they massively 146 00:08:19,760 --> 00:08:24,080 Speaker 3: underappreciated the poll of Donald Trump. They got it wrong 147 00:08:24,200 --> 00:08:28,440 Speaker 3: both in sixteen and in twenty but in twenty two 148 00:08:29,400 --> 00:08:32,240 Speaker 3: we did not get the red wave that the polls 149 00:08:32,280 --> 00:08:37,920 Speaker 3: showed we were going to get. So essentially, in most 150 00:08:37,960 --> 00:08:41,360 Speaker 3: of the most recent elections, the polls have not only 151 00:08:41,400 --> 00:08:45,520 Speaker 3: been wrong on the on the side of Democrats and 152 00:08:45,600 --> 00:08:49,360 Speaker 3: the presidency presidency, but they were also wrong on the 153 00:08:49,400 --> 00:08:52,440 Speaker 3: size of Republicans in twenty two. So my point on 154 00:08:52,480 --> 00:08:56,520 Speaker 3: this is, don't rely on any polling. Go vote. The 155 00:08:56,559 --> 00:08:59,880 Speaker 3: only thing you can control is whether you vote and 156 00:09:00,080 --> 00:09:03,679 Speaker 3: your friends and family go vote. You should make sure 157 00:09:03,800 --> 00:09:05,480 Speaker 3: that you go vote. And Buck and I are going 158 00:09:05,520 --> 00:09:09,160 Speaker 3: to keep hammering this for all of you. We're voting early. 159 00:09:09,600 --> 00:09:12,120 Speaker 3: The first day that I can vote is October sixteenth 160 00:09:12,160 --> 00:09:15,280 Speaker 3: in my home state of Tennessee. I'm showing up and voting. 161 00:09:15,360 --> 00:09:19,080 Speaker 3: Buck's gonna vote early in Florida. The data reflects I 162 00:09:19,120 --> 00:09:22,360 Speaker 3: saw some early data coming out of Virginia, Buck, that 163 00:09:22,640 --> 00:09:26,400 Speaker 3: a lot of Republicans are starting to vote early in 164 00:09:26,440 --> 00:09:28,880 Speaker 3: the state of Virginia. And oh, by the way, last 165 00:09:28,880 --> 00:09:31,600 Speaker 3: week there was a poll suggesting that Virginia is within 166 00:09:32,040 --> 00:09:34,200 Speaker 3: a couple of points one way or the other. That 167 00:09:34,360 --> 00:09:38,240 Speaker 3: also not favorable to Kamala because Biden won Virginia by 168 00:09:38,320 --> 00:09:40,920 Speaker 3: ten in twenty twenty. If Kamala is only up a 169 00:09:40,920 --> 00:09:43,480 Speaker 3: couple of points in Virginia, that speaks well for how 170 00:09:43,520 --> 00:09:47,600 Speaker 3: this race may go. But again, don't look at the polls. 171 00:09:47,920 --> 00:09:50,040 Speaker 3: Don't worry about them. We're going to tell you what 172 00:09:50,160 --> 00:09:52,560 Speaker 3: they say because the data is out there and it's 173 00:09:52,679 --> 00:09:56,960 Speaker 3: part of the conversation. But ultimately, what a poll says 174 00:09:57,360 --> 00:10:01,000 Speaker 3: shouldn't dictate whether you go. Remember the worst poll that 175 00:10:01,120 --> 00:10:04,160 Speaker 3: I saw out there of a battleground state had Trump 176 00:10:04,360 --> 00:10:08,560 Speaker 3: losing Wisconsin by seventeen points. Do you remember that poll 177 00:10:08,600 --> 00:10:11,240 Speaker 3: that came out right before twenty twenty came down to 178 00:10:11,280 --> 00:10:15,079 Speaker 3: twenty thousand votes. Did that turn down some people who said, oh, 179 00:10:15,120 --> 00:10:19,679 Speaker 3: this thing's already decided, nothing is decided. Make your voice heard. 180 00:10:20,000 --> 00:10:23,600 Speaker 3: If you're not registered, get registered. But get yourself, your friends, 181 00:10:23,640 --> 00:10:26,480 Speaker 3: your family to the polls. It's going to be tight. 182 00:10:26,679 --> 00:10:28,080 Speaker 3: I think that's what everything shows. 183 00:10:28,120 --> 00:10:30,840 Speaker 1: And I also just want to throw in there, and 184 00:10:30,920 --> 00:10:32,400 Speaker 1: he'll be with us later in the week to look 185 00:10:32,440 --> 00:10:35,679 Speaker 1: at some of the numbers. Our buddy Ryan Gerdusky, he 186 00:10:36,800 --> 00:10:39,960 Speaker 1: was on He's been on CNN as well recently, and 187 00:10:40,160 --> 00:10:42,439 Speaker 1: we'll talk to him about the latest numbers. I think 188 00:10:42,440 --> 00:10:44,480 Speaker 1: he'll be with us Wednesday or Thursday of this week. 189 00:10:45,040 --> 00:10:47,560 Speaker 1: But we've got another CNN guy second hour. Anyway, the 190 00:10:47,559 --> 00:10:49,959 Speaker 1: point is why am I so confident? 191 00:10:50,000 --> 00:10:50,320 Speaker 2: Guys. 192 00:10:51,080 --> 00:10:54,120 Speaker 1: Reality here is that Kamala Harris is a horrible candidate. 193 00:10:54,200 --> 00:10:54,520 Speaker 2: It's not. 194 00:10:55,000 --> 00:11:00,160 Speaker 1: Joe Biden was not a horrible candidate for twenty twenty. 195 00:11:00,600 --> 00:11:04,000 Speaker 1: And I know that that sounds you know, oh, but no, no, no, 196 00:11:04,480 --> 00:11:07,719 Speaker 1: because yes, he had decline. His decline has gotten a 197 00:11:07,760 --> 00:11:09,760 Speaker 1: lot worse for the last four years. But he was 198 00:11:09,800 --> 00:11:13,360 Speaker 1: in decline. But because of COVID, he was able to hide, 199 00:11:13,640 --> 00:11:16,400 Speaker 1: and because of COVID, a lot of people wanted a 200 00:11:16,440 --> 00:11:19,720 Speaker 1: grandfatherly figure who promised calm. It was all a lie, 201 00:11:19,800 --> 00:11:23,920 Speaker 1: we know that. But Biden made sense for the Democrats. 202 00:11:23,960 --> 00:11:27,320 Speaker 1: That's why Jim Clyburn in South Carolina and the huge 203 00:11:27,360 --> 00:11:30,600 Speaker 1: switch and no more big left wing you know push 204 00:11:30,679 --> 00:11:35,680 Speaker 1: from the Democrat primary. But Kamala Harris is a terrible, 205 00:11:36,040 --> 00:11:39,360 Speaker 1: terrible option. Okay, this is the truth, and the numbers 206 00:11:39,400 --> 00:11:42,679 Speaker 1: actually show that. Here's Ryan. This is from about a 207 00:11:42,720 --> 00:11:44,319 Speaker 1: little over a week ago, but he's talking about the 208 00:11:44,360 --> 00:11:47,760 Speaker 1: Kamala campaign and how it's down this cup three play it. 209 00:11:47,880 --> 00:11:50,839 Speaker 5: She is the worst polling democrat against Donald Trump in 210 00:11:50,960 --> 00:11:53,480 Speaker 5: history on national polls. No one is performing worse than 211 00:11:53,480 --> 00:11:56,559 Speaker 5: our No one's froming worse among blacks among his banks, 212 00:11:56,559 --> 00:11:59,280 Speaker 5: the worst warning democrat in modern history among the demographics, 213 00:11:59,400 --> 00:12:03,160 Speaker 5: worst performing polling wise among Jews. She is losing key 214 00:12:03,200 --> 00:12:07,319 Speaker 5: factions of the Democratic based Muslim voters. She's under fifty 215 00:12:07,320 --> 00:12:10,760 Speaker 5: two in the latest CARE poll among Black Muslims. She 216 00:12:10,880 --> 00:12:12,120 Speaker 5: is not doing well. 217 00:12:13,240 --> 00:12:17,480 Speaker 1: I mean, that's a stunning statistic. That's CARE the Council 218 00:12:17,559 --> 00:12:20,000 Speaker 1: on Arab Islamic Relations, which sort of does like Muslim 219 00:12:20,040 --> 00:12:23,760 Speaker 1: anyway Muslim relations stuff at US Middle East. But Clay, 220 00:12:23,920 --> 00:12:25,200 Speaker 1: So it's not what I'm saying is it's not like 221 00:12:25,200 --> 00:12:28,680 Speaker 1: a Fox News poll. Kamala Harris is pulling below fifty 222 00:12:28,720 --> 00:12:31,800 Speaker 1: percent with Black Muslims in America right now. I mean, 223 00:12:32,400 --> 00:12:35,600 Speaker 1: the numbers that she has with Jewish Americans in New 224 00:12:35,679 --> 00:12:38,640 Speaker 1: York are terrible. And the numbers that she's getting right 225 00:12:38,679 --> 00:12:41,840 Speaker 1: now for young people, particularly young people that you know 226 00:12:41,960 --> 00:12:43,400 Speaker 1: she's gonna have to count on in some of these 227 00:12:43,480 --> 00:12:46,760 Speaker 1: key states not good. A little bit of a detail, 228 00:12:46,800 --> 00:12:48,680 Speaker 1: we come back, I'll hit you with this, but I 229 00:12:48,760 --> 00:12:52,160 Speaker 1: know this area a little bit because my father in 230 00:12:52,200 --> 00:12:55,080 Speaker 1: law used to have a business there. Ham Tramick, Michigan 231 00:12:55,160 --> 00:12:59,320 Speaker 1: is one of the largest Muslim dominated communities in the country. 232 00:13:00,120 --> 00:13:02,839 Speaker 1: Mayor of ham Trammick, who has like a seventy percent 233 00:13:02,880 --> 00:13:07,320 Speaker 1: approval rating in that small area of the Detroit, Michigan 234 00:13:07,960 --> 00:13:12,360 Speaker 1: larger metropolitan area, just endorse Trump. So we have talked 235 00:13:12,360 --> 00:13:15,760 Speaker 1: a lot about Trump's appeal with Jewish voters as all 236 00:13:15,800 --> 00:13:19,040 Speaker 1: of the mess continues in Israel. But also I think 237 00:13:19,120 --> 00:13:23,880 Speaker 1: Kamala Harris doesn't really connect with a lot of Arab voters, 238 00:13:23,880 --> 00:13:27,080 Speaker 1: a lot of Muslim voters as well. I just think 239 00:13:27,120 --> 00:13:31,319 Speaker 1: there's a lot of sort of eruptions in the dam 240 00:13:31,800 --> 00:13:34,640 Speaker 1: that are starting to become a parent to Democrats, and 241 00:13:34,679 --> 00:13:37,600 Speaker 1: they're trying to sort of cartoon style cover up all 242 00:13:37,640 --> 00:13:39,880 Speaker 1: of these major leaks, and. 243 00:13:40,480 --> 00:13:41,240 Speaker 2: It's getting bad. 244 00:13:41,320 --> 00:13:43,280 Speaker 3: I think over the next six weeks you're going to 245 00:13:43,320 --> 00:13:44,720 Speaker 3: start to see more of a panic setting. 246 00:13:44,720 --> 00:13:46,840 Speaker 1: I don't know if you saw this. Even Peggy Noonan in 247 00:13:46,880 --> 00:13:49,200 Speaker 1: the Wall Street Journal, who is I read that column 248 00:13:49,280 --> 00:13:53,120 Speaker 1: not a Trump fan, not a Trump fan, but she's like, 249 00:13:53,280 --> 00:13:56,520 Speaker 1: this Kamala game is all about just trying to run 250 00:13:56,559 --> 00:13:59,280 Speaker 1: out the clock. I mean, can you imagine run out 251 00:13:59,280 --> 00:14:01,280 Speaker 1: the clocks will be people don't know who you are 252 00:14:01,360 --> 00:14:02,120 Speaker 1: before they vote. 253 00:14:02,160 --> 00:14:03,679 Speaker 2: That's exactly she sees that. 254 00:14:03,760 --> 00:14:06,720 Speaker 1: Everyone see what I mean by bringing in, by bringing 255 00:14:06,720 --> 00:14:08,400 Speaker 1: it Beggy noonon is you don't have to be a 256 00:14:08,400 --> 00:14:10,720 Speaker 1: Trump voter to think they're running out the clock. Everybody 257 00:14:11,000 --> 00:14:13,400 Speaker 1: knows that she's running out the clock. It's it's stunning. 258 00:14:13,440 --> 00:14:15,160 Speaker 1: I've never seen anything like I don't think anyone's seen 259 00:14:15,200 --> 00:14:17,319 Speaker 1: anything like this in modern American politics. 260 00:14:17,360 --> 00:14:18,200 Speaker 2: We'll get more into this. 261 00:14:18,440 --> 00:14:20,320 Speaker 1: I'll stick some of your calls eight hundred two A 262 00:14:20,440 --> 00:14:23,080 Speaker 1: two two eight A two playing out here in South Florida. 263 00:14:23,120 --> 00:14:24,480 Speaker 2: Light us up, We'll talk to. 264 00:14:24,440 --> 00:14:27,160 Speaker 1: You, give you all the latest insights, even talk to 265 00:14:27,160 --> 00:14:29,360 Speaker 1: you about State Class Night if you want. We've had 266 00:14:29,400 --> 00:14:31,520 Speaker 1: some questions coming our way on the name of the 267 00:14:31,520 --> 00:14:35,720 Speaker 1: company making the modern day walkie talkies. Rapid Radios is 268 00:14:35,760 --> 00:14:38,440 Speaker 1: their name. Just as a reminder, we put them put 269 00:14:38,440 --> 00:14:41,320 Speaker 1: their name and link to Rapid Radio's website on our 270 00:14:41,360 --> 00:14:43,960 Speaker 1: website Clayandbuck dot com to. 271 00:14:43,920 --> 00:14:45,720 Speaker 2: Make it easy to learn more about them. 272 00:14:45,960 --> 00:14:48,480 Speaker 1: Rapid Radios are walkie talkies that have a cell phone 273 00:14:48,480 --> 00:14:51,160 Speaker 1: connection but are easier and quicker to operate than a 274 00:14:51,160 --> 00:14:53,680 Speaker 1: cell phone. 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Go 284 00:15:18,400 --> 00:15:21,240 Speaker 1: to rapid radios dot com get up to sixty percent off. 285 00:15:21,280 --> 00:15:24,560 Speaker 1: There's free ups shipping and a free protection bag. Use 286 00:15:24,640 --> 00:15:27,880 Speaker 1: code radio and get an extra five percent off again 287 00:15:28,160 --> 00:15:29,960 Speaker 1: rapid radios dot com. 288 00:15:30,040 --> 00:15:34,520 Speaker 6: You ain't imagining it. The world has gone insane. We 289 00:15:34,760 --> 00:15:38,440 Speaker 6: claim your sanity with Clay and Fun. Find them on 290 00:15:38,480 --> 00:15:42,280 Speaker 6: the free iHeartRadio app or wherever you get your podcasts. 291 00:15:42,520 --> 00:15:46,280 Speaker 3: Welcome back in Clay Travis Spuck Sexton Show. Appreciate all 292 00:15:46,280 --> 00:15:49,240 Speaker 3: of you hanging out with us. We've been talking about 293 00:15:49,280 --> 00:15:52,400 Speaker 3: a lot of different data points here, but Buck, I 294 00:15:52,480 --> 00:15:54,680 Speaker 3: want to dive back into one that I just teased 295 00:15:54,680 --> 00:15:58,320 Speaker 3: as we were about to go to break Hamtramck, Michigan, 296 00:15:59,000 --> 00:16:03,600 Speaker 3: the mayor there. It is a largely Muslim population. I 297 00:16:03,640 --> 00:16:06,840 Speaker 3: think it's the biggest city in America with a majority 298 00:16:07,160 --> 00:16:10,920 Speaker 3: Muslim population. And I know this area because my wife's 299 00:16:10,960 --> 00:16:15,240 Speaker 3: family's from Michigan. My father in law had a meatpacking 300 00:16:15,280 --> 00:16:19,200 Speaker 3: plant that was located in ham Trammick, Michigan. And I'm 301 00:16:19,240 --> 00:16:21,320 Speaker 3: reading about this guy, and I just want you to 302 00:16:21,360 --> 00:16:22,960 Speaker 3: kind of think about it, because we've been talking about 303 00:16:23,000 --> 00:16:26,920 Speaker 3: the importance of the Jewish vote. Democrat Muslim mayor of 304 00:16:26,960 --> 00:16:31,440 Speaker 3: ham Trammick, Emir Ghalib, has announced that he is going 305 00:16:31,480 --> 00:16:35,400 Speaker 3: to endorse Donald Trump. Twenty twenty one, ham Trammick became 306 00:16:35,440 --> 00:16:38,880 Speaker 3: the first city in America to elect an all Muslim 307 00:16:38,960 --> 00:16:43,600 Speaker 3: city council. Over sixty percent is Muslim. And this guy, 308 00:16:43,680 --> 00:16:47,320 Speaker 3: the mayor, won sixty eight percent of the vote. Population 309 00:16:47,480 --> 00:16:50,640 Speaker 3: is twenty eight thousand. There are two hundred and forty 310 00:16:50,720 --> 00:16:53,840 Speaker 3: thousand Muslims in the state of Michigan. We have been 311 00:16:53,880 --> 00:16:57,520 Speaker 3: talking about the importance of the Jewish vote, and certainly 312 00:16:57,560 --> 00:17:01,280 Speaker 3: there are a lot of uncommitted voters in Michigan who 313 00:17:01,320 --> 00:17:04,920 Speaker 3: are angry on both the Jewish side of this fight 314 00:17:05,000 --> 00:17:08,760 Speaker 3: that's going on in Israel and the Muslim side. If 315 00:17:08,840 --> 00:17:12,720 Speaker 3: Kamala Harris is losing support in both directions, and it 316 00:17:12,800 --> 00:17:16,720 Speaker 3: seems to me that she is that could by itself 317 00:17:16,800 --> 00:17:20,320 Speaker 3: buck swing the outcome in the state of Michigan, which 318 00:17:20,400 --> 00:17:24,359 Speaker 3: was already very very close, just based on Jewish and 319 00:17:24,440 --> 00:17:29,359 Speaker 3: Muslim voters both potentially moving away from Kamala. Look, Kamala 320 00:17:29,480 --> 00:17:34,280 Speaker 3: is losing key constituencies that she would absolutely need not 321 00:17:34,359 --> 00:17:37,000 Speaker 3: just to show up, but to show up big, bigly 322 00:17:38,000 --> 00:17:42,560 Speaker 3: for her in this election. And look, Trump just has 323 00:17:42,600 --> 00:17:45,440 Speaker 3: to stay focused. I'm seeing good stuff about ballot chase 324 00:17:45,480 --> 00:17:49,080 Speaker 3: from the Trump team in Michigan. This is Trump's race 325 00:17:49,160 --> 00:17:52,520 Speaker 3: to lose, and all the data I think supports that analysis, 326 00:17:52,560 --> 00:17:54,520 Speaker 3: but got to actually take. 327 00:17:54,400 --> 00:17:56,600 Speaker 2: It to the end. Zone Clay, no doubt at all. 328 00:17:57,280 --> 00:17:59,680 Speaker 1: If candidate Harris had her way, the top income tax 329 00:17:59,760 --> 00:18:02,760 Speaker 1: rate would be almost forty percent, There'd be a seven 330 00:18:02,800 --> 00:18:05,080 Speaker 1: percent increase of the corporate tax, and a new capital 331 00:18:05,119 --> 00:18:08,399 Speaker 1: gains tax on unrealized gains. Put that into an equation 332 00:18:08,480 --> 00:18:11,199 Speaker 1: with their plans to give away billions of freshly printed 333 00:18:11,240 --> 00:18:14,240 Speaker 1: money into gosh knows what kind of government programs, and 334 00:18:14,320 --> 00:18:16,960 Speaker 1: what do you get inflation? Even if you think there's 335 00:18:17,000 --> 00:18:18,879 Speaker 1: a one percent chance you could prevail on this, you 336 00:18:18,960 --> 00:18:23,000 Speaker 1: gotta take time to get things tax sheltered and inflation sheltered. 337 00:18:23,040 --> 00:18:26,199 Speaker 1: That's where gold comes in. My friends. Birch Gold will 338 00:18:26,240 --> 00:18:29,040 Speaker 1: assist you in converting an existing IRA or four oh 339 00:18:29,040 --> 00:18:31,480 Speaker 1: one k into gold. The best news you don't pay 340 00:18:31,480 --> 00:18:33,919 Speaker 1: a penny out of pocket. Text my name Buck to 341 00:18:34,040 --> 00:18:36,359 Speaker 1: ninety eight ninety eight ninety eight and get a free 342 00:18:36,359 --> 00:18:40,000 Speaker 1: info hit on gold. There's no obligation, just information on 343 00:18:40,200 --> 00:18:43,439 Speaker 1: fortifying your savings. A plus rating from the Better Business Bureau, 344 00:18:43,560 --> 00:18:44,920 Speaker 1: thousands of happy customers. 345 00:18:45,240 --> 00:18:46,639 Speaker 2: You can trust Birch Gold. 346 00:18:46,920 --> 00:18:49,880 Speaker 1: Text my name Buck to ninety eight ninety eight ninety 347 00:18:49,920 --> 00:18:52,800 Speaker 1: eight to get your free info kit. Today again text 348 00:18:52,920 --> 00:18:55,840 Speaker 1: buc k to ninety eight ninety eight ninety eight. 349 00:18:56,040 --> 00:18:59,040 Speaker 7: So the first time in almost three decades, the Teamsters 350 00:18:59,200 --> 00:19:03,120 Speaker 7: Union has decided to not endorse a presidential Canada. They 351 00:19:03,160 --> 00:19:06,879 Speaker 7: have traditionally endorsed the Democrat. This comes after Donald Trump 352 00:19:07,280 --> 00:19:11,320 Speaker 7: won the poll of Teamster's union members by twenty five points. 353 00:19:11,680 --> 00:19:14,920 Speaker 7: One pro Harris union official told Politico that that poll 354 00:19:15,000 --> 00:19:18,200 Speaker 7: is a red flag reminiscence of the twenty sixteen election 355 00:19:18,240 --> 00:19:23,000 Speaker 7: when Hillary Clinton underperformed among union households and among white 356 00:19:23,040 --> 00:19:26,080 Speaker 7: men and I ultimately did not win. Do you think 357 00:19:26,160 --> 00:19:28,800 Speaker 7: this is all a red flag for Harris? Especially in Michigan? 358 00:19:29,040 --> 00:19:30,240 Speaker 2: This selection is going to be close. 359 00:19:30,280 --> 00:19:34,480 Speaker 5: We've always known that that's what happens in these presidential elections, 360 00:19:34,480 --> 00:19:37,879 Speaker 5: and an estate like Michigan or Pennsylvania, Wisconsin, we know 361 00:19:38,119 --> 00:19:40,000 Speaker 5: that this is going to be a close race. 362 00:19:41,000 --> 00:19:43,760 Speaker 2: Oh yeah, Rich and Widmer says it's going to be close. Clay. 363 00:19:44,760 --> 00:19:48,800 Speaker 1: Look, they were saying that Kamala was going to win 364 00:19:49,280 --> 00:19:51,840 Speaker 1: big a couple of weeks ago. Now they're saying it's close. 365 00:19:51,960 --> 00:19:57,440 Speaker 1: Here's the important part about this, the Teamsters not endorsing 366 00:19:57,520 --> 00:20:01,919 Speaker 1: Kamala Harris is I think Clay an indicator of what 367 00:20:01,960 --> 00:20:06,000 Speaker 1: we've been talking about all along, which is the critical 368 00:20:06,160 --> 00:20:10,480 Speaker 1: demographic that will overshadow I think turnout and from a 369 00:20:10,520 --> 00:20:12,320 Speaker 1: lot of other demographics and groups whatever. 370 00:20:12,359 --> 00:20:13,040 Speaker 2: It's going to be. 371 00:20:14,760 --> 00:20:17,400 Speaker 1: White guys without a college degree in what you call 372 00:20:17,480 --> 00:20:21,400 Speaker 1: big ten states. Yep, right, I think that they are 373 00:20:21,440 --> 00:20:22,960 Speaker 1: just and this is just by the numbers. There's a 374 00:20:23,040 --> 00:20:26,320 Speaker 1: lot of them, so a small move in that you know, 375 00:20:26,359 --> 00:20:28,480 Speaker 1: percentage wise makes a much bigger difference than some of 376 00:20:28,600 --> 00:20:30,960 Speaker 1: you know, we talk about, like we'd spoke before about 377 00:20:31,000 --> 00:20:35,360 Speaker 1: Kamala Harris's lack of support among the black Muslim population 378 00:20:35,359 --> 00:20:40,280 Speaker 1: in this country. Well, they're a much smaller demographic than white, 379 00:20:40,640 --> 00:20:44,240 Speaker 1: non college educated working class or you know, white non 380 00:20:44,240 --> 00:20:47,960 Speaker 1: college voter. And so I think that this is where 381 00:20:48,160 --> 00:20:50,520 Speaker 1: the Democrats, who know the numbers and know how this 382 00:20:50,920 --> 00:20:54,080 Speaker 1: looks on the electoral map, have the most concerned because 383 00:20:54,080 --> 00:20:56,760 Speaker 1: this is this is an area of real weakness. 384 00:20:57,320 --> 00:20:59,040 Speaker 2: What guy who. 385 00:20:58,880 --> 00:21:03,240 Speaker 1: Drives a truck or is an electrician or a plumber 386 00:21:03,440 --> 00:21:07,720 Speaker 1: or a carpenter or a general contractor gets fired up 387 00:21:07,760 --> 00:21:10,119 Speaker 1: about Kamala Harris, I just I don't see it. 388 00:21:10,359 --> 00:21:13,920 Speaker 3: Yeah, And I think this is where you were while 389 00:21:13,920 --> 00:21:16,840 Speaker 3: we had a great steak dinner last night, which was 390 00:21:16,600 --> 00:21:19,560 Speaker 3: I was about a little bit later, but where you 391 00:21:19,640 --> 00:21:23,120 Speaker 3: were right. And again we're six weeks out. I encourage 392 00:21:23,119 --> 00:21:26,760 Speaker 3: everybody to go vote, do not take anything for granted. 393 00:21:26,880 --> 00:21:29,800 Speaker 3: Control what you can control. I'm a big believer in 394 00:21:29,840 --> 00:21:32,879 Speaker 3: that there's a lot of external noise. Show up and 395 00:21:32,920 --> 00:21:35,480 Speaker 3: do your job, Go vote, Go vote early. We'll get 396 00:21:35,480 --> 00:21:37,280 Speaker 3: into that in a little bit as well, as we're 397 00:21:37,280 --> 00:21:39,240 Speaker 3: going to tell you to go vote early every day 398 00:21:40,440 --> 00:21:42,159 Speaker 3: just to make sure that your vote is in. 399 00:21:42,760 --> 00:21:45,040 Speaker 1: But we also we're getting emails people saying, why are 400 00:21:45,080 --> 00:21:46,720 Speaker 1: we saying that. Let's get to that in the back 401 00:21:46,720 --> 00:21:48,919 Speaker 1: because we have reasons, but one hundred percent we'll get 402 00:21:48,960 --> 00:21:52,320 Speaker 1: to that in the next segment. But Buck twenty twenty, 403 00:21:52,400 --> 00:21:56,400 Speaker 1: whatever you think about the decision to go Joe Biden, 404 00:21:56,920 --> 00:22:01,440 Speaker 1: they counterprogrammed against Trump to try to win back the Midwest. 405 00:22:01,920 --> 00:22:06,000 Speaker 1: They said, Joe Biden, this Grandpa Joe. Even if you 406 00:22:06,119 --> 00:22:06,880 Speaker 1: don't buy. 407 00:22:06,680 --> 00:22:13,280 Speaker 3: It, Scranton Joe was an unthreatening, relatively speaking, old white 408 00:22:13,320 --> 00:22:18,080 Speaker 3: guy to run against another old white guy in Donald Trump. 409 00:22:18,560 --> 00:22:22,080 Speaker 3: And they played it as Biden was born in Scranton, 410 00:22:22,440 --> 00:22:26,280 Speaker 3: he knows the struggles that all these guys who work 411 00:22:26,320 --> 00:22:30,120 Speaker 3: with their hand feel, and we're going to have success 412 00:22:30,160 --> 00:22:33,879 Speaker 3: with him. That's not going to work with Kamala. And 413 00:22:34,080 --> 00:22:37,440 Speaker 3: I think over the next few weeks, as these poles 414 00:22:37,520 --> 00:22:40,760 Speaker 3: continue to come out, there's going to be a quiet 415 00:22:40,840 --> 00:22:45,040 Speaker 3: panic setting in among Democrats because right now, if the 416 00:22:45,080 --> 00:22:47,600 Speaker 3: New York Times polls, New York Times no great fan 417 00:22:47,720 --> 00:22:51,160 Speaker 3: of Donald Trump, for sure, of Arizona, Georgia and North 418 00:22:51,240 --> 00:22:55,520 Speaker 3: Carolina are correct. The only pathway to winning the presidency 419 00:22:55,560 --> 00:23:01,600 Speaker 3: that Kamala Harris has is sweeping Pennsylvania, Wisconsin, and Michigan. 420 00:23:02,680 --> 00:23:06,919 Speaker 3: Who's going to help her sweep those states? Old white 421 00:23:06,920 --> 00:23:09,919 Speaker 3: people are old white people going to be looking at 422 00:23:10,119 --> 00:23:13,880 Speaker 3: around at Kamala Harris saying, Oh, there's not that much 423 00:23:13,960 --> 00:23:17,080 Speaker 3: difference in the grand scheme of things. They liked that 424 00:23:17,160 --> 00:23:21,439 Speaker 3: Biden claimed he would restore normalcy to the country while 425 00:23:21,600 --> 00:23:24,160 Speaker 3: COVID was going on and there was a great deal 426 00:23:24,200 --> 00:23:27,439 Speaker 3: of fear out there. I actually think the decision to 427 00:23:27,480 --> 00:23:31,800 Speaker 3: go Biden was strategically smart compared to Bernie, compared to Kamala, 428 00:23:31,880 --> 00:23:34,960 Speaker 3: compared to Elizabeth Warren. He was the best of bad 429 00:23:35,000 --> 00:23:39,480 Speaker 3: options in twenty twenty. Kamala, to me, is the worst 430 00:23:39,840 --> 00:23:42,959 Speaker 3: of actually not awful options. What I told you was, 431 00:23:43,520 --> 00:23:46,320 Speaker 3: I thought they would go Michelle Obama. I thought they 432 00:23:46,320 --> 00:23:49,560 Speaker 3: would go Josh Shapiro. I thought they would go Gretchen 433 00:23:49,600 --> 00:23:53,680 Speaker 3: Witmer have a Midwest strategy that was better than what 434 00:23:53,760 --> 00:23:56,920 Speaker 3: Biden could have done. I think they're going to start 435 00:23:56,960 --> 00:24:00,440 Speaker 3: to realize that Kamala can't get the Biden vote or fuck. 436 00:24:00,480 --> 00:24:02,720 Speaker 3: And we know based on the data that she's not 437 00:24:02,920 --> 00:24:06,600 Speaker 3: doing better with Black, Asian and Hispanic voters. So if 438 00:24:06,640 --> 00:24:09,680 Speaker 3: she's gonna lose white voters, she's got to do better 439 00:24:09,720 --> 00:24:12,760 Speaker 3: with black, Asian and Hispanic voters. That's not happening. The 440 00:24:12,880 --> 00:24:16,160 Speaker 3: numbers on Hispanic voters are really bad for her, and 441 00:24:16,840 --> 00:24:19,639 Speaker 3: the math is starting to get challenging again. Go vote. 442 00:24:19,680 --> 00:24:22,240 Speaker 3: Will get into why it's important to vote early here 443 00:24:22,280 --> 00:24:25,000 Speaker 3: in a bit. But you know, they got it panic. 444 00:24:25,160 --> 00:24:28,160 Speaker 1: I also, I think that there's no way around It's 445 00:24:28,160 --> 00:24:29,359 Speaker 1: not a narrative, it's fact. 446 00:24:29,400 --> 00:24:29,760 Speaker 2: Okay. 447 00:24:30,000 --> 00:24:35,800 Speaker 1: Kamala Harris is avoiding public exposure and doesn't want a 448 00:24:35,800 --> 00:24:39,320 Speaker 1: lot of Americans to really see who she is, what 449 00:24:39,359 --> 00:24:42,320 Speaker 1: she's like, and what she stands for. There's no way 450 00:24:42,359 --> 00:24:48,320 Speaker 1: around this, you know, Clay. She has bailed on the 451 00:24:48,600 --> 00:24:49,200 Speaker 1: charity dinner. 452 00:24:49,240 --> 00:24:49,560 Speaker 2: What is it? 453 00:24:49,600 --> 00:24:53,920 Speaker 1: The Al I forget the name of it. Now, there's 454 00:24:53,920 --> 00:24:56,240 Speaker 1: this charity dinner. What's it called? 455 00:24:56,960 --> 00:24:57,480 Speaker 2: Al Smith? 456 00:24:57,560 --> 00:24:57,639 Speaker 8: Right? 457 00:24:57,760 --> 00:24:58,479 Speaker 2: Yeah? Al Smith? 458 00:24:58,520 --> 00:25:01,479 Speaker 1: Sorry, yeah, Al Smith, the Al's Dinner. I just blanked 459 00:25:01,480 --> 00:25:05,240 Speaker 1: on it for a second. Al Smith dinner is historically 460 00:25:05,240 --> 00:25:09,359 Speaker 1: attended by both candidates for office. She is the first 461 00:25:09,440 --> 00:25:13,600 Speaker 1: to say no since nineteen eighty four. Yeah, okay, so 462 00:25:14,240 --> 00:25:17,800 Speaker 1: she's staying out of the public eye on these things. 463 00:25:18,040 --> 00:25:20,639 Speaker 1: She has said that she's accepted to see ann debate 464 00:25:20,680 --> 00:25:23,600 Speaker 1: on October twenty third. Trump, I believe, has still said 465 00:25:23,640 --> 00:25:27,119 Speaker 1: he will not accept that debate. Kamalas skip the Fox 466 00:25:27,200 --> 00:25:29,520 Speaker 1: News debate right tough to keep all this stuff straight. 467 00:25:29,960 --> 00:25:36,480 Speaker 1: But her whole program is avoid scrutiny, avoid scrutiny. And 468 00:25:36,840 --> 00:25:39,919 Speaker 1: I just think that for anybody who is not a 469 00:25:40,080 --> 00:25:45,120 Speaker 1: diehard Democrat voter, that just that just doesn't sit right, 470 00:25:45,160 --> 00:25:47,679 Speaker 1: and it shouldn't sit right. You know, say what you 471 00:25:47,720 --> 00:25:50,879 Speaker 1: will about Trump, and people have said a lot. The 472 00:25:50,960 --> 00:25:55,600 Speaker 1: guy isn't scared of anything or anyone. He will go anywhere, 473 00:25:55,800 --> 00:25:59,280 Speaker 1: he will talk to anybody, and he presents himself as 474 00:25:59,320 --> 00:26:04,080 Speaker 1: he is. Trump is not a phony. There's something so 475 00:26:04,440 --> 00:26:09,000 Speaker 1: very phony, so very fake about this Kamala campaign such 476 00:26:09,040 --> 00:26:12,160 Speaker 1: that I think that all the media and all the allies, 477 00:26:12,200 --> 00:26:14,439 Speaker 1: everybody that she has that are trying to you know, 478 00:26:14,880 --> 00:26:16,440 Speaker 1: they came in this morning, We're having some crack of 479 00:26:16,480 --> 00:26:18,960 Speaker 1: coffee and guess what morning Joe is on the TV. Yes, 480 00:26:19,080 --> 00:26:21,480 Speaker 1: and they're trying to convince themselves. They are like, oh gosh, 481 00:26:21,480 --> 00:26:24,280 Speaker 1: you see these polls over the weekend, Kamala is doing amazing, 482 00:26:24,960 --> 00:26:28,280 Speaker 1: and they don't believe that. Clay nobody believes this. They're 483 00:26:28,359 --> 00:26:31,600 Speaker 1: just trying to the whole thing with Kamala as a khan. Honestly, 484 00:26:31,680 --> 00:26:32,760 Speaker 1: it's a confidence scheme. 485 00:26:34,119 --> 00:26:36,680 Speaker 3: I just come back to the more time people spend 486 00:26:36,720 --> 00:26:39,760 Speaker 3: around Kamala, the more they dislike her. I would also 487 00:26:39,840 --> 00:26:42,320 Speaker 3: point out that she now is desperate to try to 488 00:26:42,359 --> 00:26:46,879 Speaker 3: get another debate. If you're winning, you don't want another debate. 489 00:26:47,520 --> 00:26:50,760 Speaker 3: As a general rule, the person who wants the debates 490 00:26:50,880 --> 00:26:55,080 Speaker 3: the baddest is typically losing because they need something to 491 00:26:55,200 --> 00:27:00,400 Speaker 3: adjust and change the otherwise trajectory that exists. She didn't 492 00:27:00,400 --> 00:27:02,240 Speaker 3: get the bounce that she thought she was going to 493 00:27:02,280 --> 00:27:04,800 Speaker 3: get from the September debate that we just saw a 494 00:27:04,800 --> 00:27:09,119 Speaker 3: couple of weeks ago. Trump has now solidified his base. 495 00:27:09,359 --> 00:27:13,400 Speaker 3: People are already voting, locking in whatever the conditions are 496 00:27:13,440 --> 00:27:16,920 Speaker 3: out there. Don't pay attention to what people say, pay 497 00:27:16,920 --> 00:27:20,679 Speaker 3: attention to what they do. If Kamala were winning, she 498 00:27:20,760 --> 00:27:24,760 Speaker 3: wouldn't want another debate. She's in trouble. I think that's 499 00:27:24,800 --> 00:27:26,400 Speaker 3: the facts. When we come back, we'll tell you why 500 00:27:26,480 --> 00:27:29,800 Speaker 3: voting early matters. A bunch of you sending emails about that. 501 00:27:29,960 --> 00:27:33,840 Speaker 3: VIP will read all those Guess what, I just had 502 00:27:33,840 --> 00:27:38,520 Speaker 3: an amazing weekend of fun watching the NFL, watching college football. 503 00:27:38,600 --> 00:27:41,639 Speaker 3: Like to apologize to everybody out there in Oklahoma. My 504 00:27:41,760 --> 00:27:46,000 Speaker 3: Tennessee volunteers rolled into Norman got the big win. Unfortunately, 505 00:27:46,040 --> 00:27:48,640 Speaker 3: the Tennessee Titans might be the worst team in the NFL. 506 00:27:48,720 --> 00:27:51,800 Speaker 3: But you know what makes being a football fan even 507 00:27:51,880 --> 00:27:55,320 Speaker 3: more fun? Prize picks. On Thursday, I will have a 508 00:27:55,359 --> 00:27:58,679 Speaker 3: Thursday night football pick for all of you. We're going 509 00:27:58,760 --> 00:28:01,200 Speaker 3: to try to hit on a ten to one special. 510 00:28:01,440 --> 00:28:03,600 Speaker 3: But in the meantime, why not go ahead and sign up. 511 00:28:03,640 --> 00:28:06,560 Speaker 3: You can play in Florida, you can play in Georgia, 512 00:28:06,600 --> 00:28:09,520 Speaker 3: you can play in California, you can play in Texas. 513 00:28:09,520 --> 00:28:13,240 Speaker 3: If you're feeling left out, pricepicks dot Com, use my 514 00:28:13,400 --> 00:28:16,879 Speaker 3: name Clay, and if you play five dollars, you get 515 00:28:16,920 --> 00:28:20,520 Speaker 3: back fifty dollars. It's super easy. All you have to 516 00:28:20,560 --> 00:28:26,400 Speaker 3: do is pick player individual performances more or less, passing yards, touchdowns, 517 00:28:26,520 --> 00:28:29,879 Speaker 3: rushing yards. So many different options out there. If you 518 00:28:29,960 --> 00:28:33,200 Speaker 3: have a favorite team, you can set up a multiplayer 519 00:28:33,840 --> 00:28:35,200 Speaker 3: picks process for you. 520 00:28:35,640 --> 00:28:36,400 Speaker 2: It's easy. 521 00:28:36,600 --> 00:28:40,280 Speaker 3: Again, how often do you say you get fifty dollars 522 00:28:40,400 --> 00:28:44,080 Speaker 3: if you just go sign up right now prizepicks dot com. 523 00:28:44,080 --> 00:28:50,320 Speaker 3: My name Clay Clay. That's pricepicks dot com, Texas, Georgia, California. 524 00:28:50,400 --> 00:28:52,600 Speaker 3: What are you waiting for? Go sign up today? Over 525 00:28:52,680 --> 00:28:55,960 Speaker 3: thirty states out there. My name Clay. Even Bucket is playing. 526 00:28:56,320 --> 00:28:57,960 Speaker 2: I'm all in, But Clay, you got to hit the 527 00:28:57,960 --> 00:28:59,280 Speaker 2: next parlay, buddy. That's steak. 528 00:28:59,360 --> 00:29:02,680 Speaker 1: Last night was expensive, sir, and I'm you know, Papa 529 00:29:02,680 --> 00:29:05,080 Speaker 1: Buck needs to replenish the account a little bit here. 530 00:29:05,200 --> 00:29:07,520 Speaker 3: We need to hit a win. I've got one for Thursday. 531 00:29:07,600 --> 00:29:09,640 Speaker 3: Let's make it happen. Prizepicks dot Com. 532 00:29:09,720 --> 00:29:14,080 Speaker 6: Clay you know him as conservative radio hosts. 533 00:29:14,200 --> 00:29:16,080 Speaker 2: Now just get to know them as. 534 00:29:16,000 --> 00:29:19,840 Speaker 6: Guys on this Sunday Hang podcast with Clay and Buck. 535 00:29:20,120 --> 00:29:23,200 Speaker 6: Find it in their podcast feed on the iHeartRadio app 536 00:29:23,320 --> 00:29:27,600 Speaker 6: or wherever you get your podcasts. Welcome back in Clay, Travis, 537 00:29:27,680 --> 00:29:31,560 Speaker 6: Buck Sexton show. Let me go to the VIP mail bag. 538 00:29:31,640 --> 00:29:34,720 Speaker 6: You can sign up Clay and Buck. You can be VIP. 539 00:29:34,920 --> 00:29:37,480 Speaker 6: You can see us on video. I don't know necessarily 540 00:29:37,520 --> 00:29:39,480 Speaker 6: why you want to watch us on video every day, 541 00:29:39,560 --> 00:29:42,959 Speaker 6: but we appreciate the thousands and thousands of you that 542 00:29:43,040 --> 00:29:46,000 Speaker 6: watch every single day on video. Hi waving at you 543 00:29:46,040 --> 00:29:48,440 Speaker 6: from Bucks Place in Miami. Right now. 544 00:29:49,560 --> 00:29:51,480 Speaker 3: I want to tell you, by the way, I'm also 545 00:29:51,640 --> 00:29:57,240 Speaker 3: drinking delectable Crocket Coffee started off the day with Crockett Coffee. 546 00:29:57,280 --> 00:30:00,600 Speaker 3: You can go subscribe Crocketcoffee dot com. Be glad that 547 00:30:00,640 --> 00:30:03,200 Speaker 3: you did. It's the coffee that loves America, named after 548 00:30:03,720 --> 00:30:08,640 Speaker 3: a true American hero, Davy Crockett. All right, Dan says, you, gentlemen, 549 00:30:08,880 --> 00:30:12,800 Speaker 3: encourage listeners to vote early. I do not understand why 550 00:30:12,840 --> 00:30:16,080 Speaker 3: early voting is important. I am seventy five years old 551 00:30:16,160 --> 00:30:19,480 Speaker 3: and have never missed a vote. Why does early voting 552 00:30:19,720 --> 00:30:22,680 Speaker 3: make a difference? Just real, quick, totally fair question, and 553 00:30:22,720 --> 00:30:23,640 Speaker 3: we're glad to address it. 554 00:30:23,680 --> 00:30:24,080 Speaker 2: Go ahead. 555 00:30:24,760 --> 00:30:27,920 Speaker 3: We have had a lot of experts on voting and 556 00:30:27,960 --> 00:30:31,000 Speaker 3: they all say, and this is very important. If you 557 00:30:31,240 --> 00:30:35,160 Speaker 3: early vote, it allows them to focus all of their 558 00:30:35,200 --> 00:30:39,240 Speaker 3: attention on voters who are less likely to go out. 559 00:30:39,360 --> 00:30:42,240 Speaker 3: In other words, we had Michael Wattley on in particular, 560 00:30:42,720 --> 00:30:46,440 Speaker 3: and he said, as well as as others, I think, 561 00:30:46,440 --> 00:30:48,400 Speaker 3: we had Ned Ryan on and he talked about the 562 00:30:48,480 --> 00:30:52,480 Speaker 3: challenges they keep spending money to try to get you 563 00:30:52,600 --> 00:30:55,080 Speaker 3: to turn out to vote. They keep texting you, they 564 00:30:55,160 --> 00:30:58,400 Speaker 3: keep knocking on your door, they keep calling when you 565 00:30:58,560 --> 00:31:02,040 Speaker 3: have not voted early. Once they get the roster and 566 00:31:02,120 --> 00:31:05,520 Speaker 3: you vote early in your state, they take you off 567 00:31:05,600 --> 00:31:09,240 Speaker 3: the contact list and they're able to focus on lower 568 00:31:09,280 --> 00:31:12,920 Speaker 3: propensity voters. So right now, listen to me carefully. If 569 00:31:12,960 --> 00:31:16,320 Speaker 3: you are a die hard Trump supporter and you want 570 00:31:16,360 --> 00:31:20,320 Speaker 3: Trump to win more than anything, going and voting early 571 00:31:20,800 --> 00:31:24,520 Speaker 3: allows them to spend their money on other people to 572 00:31:24,600 --> 00:31:27,560 Speaker 3: try to get them out. Now I understand, I traditionally 573 00:31:27,600 --> 00:31:30,880 Speaker 3: have been an election day voter. I like the experience. 574 00:31:31,120 --> 00:31:34,200 Speaker 3: I like the feel of voting on election day. I'm 575 00:31:34,280 --> 00:31:36,720 Speaker 3: listening to the people who are get out the vote 576 00:31:36,760 --> 00:31:41,200 Speaker 3: experts on the Republican side, and they are overwhelmingly saying 577 00:31:41,560 --> 00:31:45,160 Speaker 3: get your vote in early. So Buck, I'm going October sixteenth, 578 00:31:45,480 --> 00:31:48,440 Speaker 3: I'm voting early. I'm going to be locked and loaded 579 00:31:48,440 --> 00:31:52,520 Speaker 3: in my home state of Tennessee weeks before actual election day. 580 00:31:52,520 --> 00:31:55,280 Speaker 3: The other thing is something might happen on election just say. 581 00:31:55,320 --> 00:31:57,040 Speaker 1: This is the big thing for some people is when 582 00:31:57,520 --> 00:31:59,760 Speaker 1: when you're let's say you're voting in Montana, which you 583 00:31:59,800 --> 00:32:03,239 Speaker 1: got critical Senate race, it could snow there in a 584 00:32:03,280 --> 00:32:06,680 Speaker 1: big way in November, and all of a sudden, now 585 00:32:06,840 --> 00:32:09,920 Speaker 1: you got problems getting to the polls. So people say, 586 00:32:09,960 --> 00:32:11,520 Speaker 1: don't worry, I'll always get there. 587 00:32:12,320 --> 00:32:13,120 Speaker 2: Yeah, you don't know. 588 00:32:13,920 --> 00:32:16,840 Speaker 1: You know, the weather can cause issues. And that's why 589 00:32:17,480 --> 00:32:20,840 Speaker 1: you make it easier for Republicans to be able to 590 00:32:20,840 --> 00:32:24,160 Speaker 1: focus on people who are lower propensity if you get 591 00:32:24,200 --> 00:32:28,360 Speaker 1: your vote banked early. This is all about strategy. Trump 592 00:32:28,400 --> 00:32:31,040 Speaker 1: is completely on board with this. He saw the numbers 593 00:32:31,040 --> 00:32:34,520 Speaker 1: from twenty twenty. He realizes, you just leave nothing to chance, right, 594 00:32:34,720 --> 00:32:36,520 Speaker 1: you know, maybe you wake up, maybe you're sick, or 595 00:32:36,560 --> 00:32:38,640 Speaker 1: you know whatever, You just want to get your vote 596 00:32:38,640 --> 00:32:40,760 Speaker 1: in as quickly as you can so you don't miss out. 597 00:32:40,840 --> 00:32:43,520 Speaker 1: How often does it happen for the parents out there 598 00:32:44,040 --> 00:32:48,120 Speaker 1: that whatever the busiest day you have, your kid wakes 599 00:32:48,200 --> 00:32:49,880 Speaker 1: up with a fever on that day. 600 00:32:50,640 --> 00:32:54,000 Speaker 3: How often do you, as grandma and grandpa or aunt 601 00:32:54,040 --> 00:32:56,880 Speaker 3: and the uncle get a call, Hey, we got a 602 00:32:56,920 --> 00:32:59,640 Speaker 3: sick kid. Can we drop him off at your house? 603 00:32:59,720 --> 00:33:01,760 Speaker 3: Can you you come help us? Mom and dad have 604 00:33:01,880 --> 00:33:04,480 Speaker 3: to go to work. There's a lot of different moving parts. 605 00:33:04,880 --> 00:33:08,360 Speaker 3: The point is you can choose the day when you 606 00:33:08,440 --> 00:33:12,280 Speaker 3: vote early. If it's election day and you yourself are sick, 607 00:33:12,440 --> 00:33:15,360 Speaker 3: or your kids are sick, or your grandkids are sick, 608 00:33:15,400 --> 00:33:18,040 Speaker 3: and suddenly you get drawn in Hey, maybe you get 609 00:33:18,080 --> 00:33:21,280 Speaker 3: a flat tire. To Buck's point, Adam Laxalt, they really 610 00:33:21,360 --> 00:33:24,160 Speaker 3: believe he would have won the Senate race in Nevada 611 00:33:24,600 --> 00:33:27,719 Speaker 3: if in northern Nevada they hadn't had a big snow 612 00:33:27,760 --> 00:33:31,000 Speaker 3: and ice storm on election day. There there are just 613 00:33:31,120 --> 00:33:34,640 Speaker 3: so many variables that might happen. Why not go ahead 614 00:33:34,720 --> 00:33:37,920 Speaker 3: when it's convenient for you and get out and vote. 615 00:33:38,080 --> 00:33:41,360 Speaker 3: Ed and Houston, you worked in elections for a long time. 616 00:33:41,680 --> 00:33:44,920 Speaker 3: We appreciate everybody listening down in the lone Star state. 617 00:33:45,920 --> 00:33:49,520 Speaker 3: What would you say, based on your experience, is so 618 00:33:49,680 --> 00:33:54,120 Speaker 3: important about early voting. To answer our VIP emailer question. 619 00:33:53,960 --> 00:33:57,960 Speaker 8: There one hundred percent true on everything you guys have said. 620 00:33:58,000 --> 00:34:01,280 Speaker 8: Thank you all for pointing out voting is very important. 621 00:34:01,840 --> 00:34:04,600 Speaker 8: I'll give you an example. You all mentioned bad weather. 622 00:34:05,120 --> 00:34:10,200 Speaker 8: It could be intentional. This last midterm election in Houston. 623 00:34:10,880 --> 00:34:17,800 Speaker 8: Harris County is Houston as the county judges on the ballot. 624 00:34:17,840 --> 00:34:22,600 Speaker 8: It was a close race on election day. The Democrats 625 00:34:22,680 --> 00:34:27,160 Speaker 8: running the elections didn't provide enough paper that you're used 626 00:34:27,200 --> 00:34:31,080 Speaker 8: to put in the election machine to the Republican and 627 00:34:31,400 --> 00:34:34,680 Speaker 8: there were one hundred and twenty seven polling locations and 628 00:34:34,760 --> 00:34:39,480 Speaker 8: Republican areas that ran out of paper before lunch, and 629 00:34:39,520 --> 00:34:42,000 Speaker 8: no one could go into those locations and vote. 630 00:34:42,520 --> 00:34:44,480 Speaker 1: Yeah, and you know, you know, if there's a water 631 00:34:44,640 --> 00:34:47,920 Speaker 1: main break suddenly at a polling place and they have 632 00:34:48,040 --> 00:34:50,480 Speaker 1: to like shut it down or something, and you go 633 00:34:50,640 --> 00:34:52,799 Speaker 1: there and you're you know, the point is you leave 634 00:34:52,840 --> 00:34:55,120 Speaker 1: it to chance, if you leave it to the last minute. 635 00:34:55,520 --> 00:34:58,640 Speaker 1: And the Democrats know this, and they they ran the 636 00:34:58,640 --> 00:35:00,000 Speaker 1: playbook the last time around. 637 00:35:00,080 --> 00:35:01,040 Speaker 2: Clay. This is important. 638 00:35:01,080 --> 00:35:03,840 Speaker 3: Remember, by the way, Arizona, to his point, Maricopa County, 639 00:35:03,960 --> 00:35:07,080 Speaker 3: the Phoenix area Carrie Lake's election in twenty twenty two. 640 00:35:07,120 --> 00:35:09,040 Speaker 3: They had a lot of irregularities there too. 641 00:35:09,920 --> 00:35:13,239 Speaker 1: Again, this is critical that we get this out there 642 00:35:13,280 --> 00:35:16,840 Speaker 1: for everybody. Sometimes an email comes in where there's just 643 00:35:16,880 --> 00:35:19,080 Speaker 1: so much truth packed into one thing that you have 644 00:35:19,120 --> 00:35:22,120 Speaker 1: to read it. This from one hour VIP's Patrick. Hello, gentlemen. 645 00:35:22,600 --> 00:35:25,680 Speaker 1: I went to see Matt Walsh's new movie, Am I Racist? 646 00:35:25,719 --> 00:35:28,399 Speaker 1: On Saturday with my eighty seven year old mother, who, 647 00:35:28,440 --> 00:35:31,920 Speaker 1: by the way, thinks you are both incredibly handsome. I 648 00:35:31,960 --> 00:35:34,399 Speaker 1: hope she has good eyesight, and we both loved it. 649 00:35:34,440 --> 00:35:36,920 Speaker 1: Everyone in the theater was laughing fairly loud. Let's just say, Patrick, 650 00:35:36,920 --> 00:35:40,120 Speaker 1: tell your eighty seven year old mother that she has 651 00:35:40,160 --> 00:35:43,840 Speaker 1: amazing taste in movies and radio hosts. 652 00:35:44,040 --> 00:35:45,399 Speaker 2: Handsomeness. Thank you so much. 653 00:35:45,520 --> 00:35:48,120 Speaker 3: I love the eighty seven year old mother there very 654 00:35:48,400 --> 00:35:54,040 Speaker 3: appreciate that email. And yeah, Buck, you know the retired 655 00:35:54,080 --> 00:35:57,520 Speaker 3: women of America, this is my base, frat guys and 656 00:35:57,719 --> 00:36:01,120 Speaker 3: retired women, and so I can't I'm gonna be down 657 00:36:01,560 --> 00:36:05,239 Speaker 3: this weekend at that Georgia Alabama game, which is one 658 00:36:05,239 --> 00:36:07,600 Speaker 3: of the biggest college football games of the year. And 659 00:36:07,640 --> 00:36:11,200 Speaker 3: I bet frat guys and retired women, I'm gonna be 660 00:36:11,280 --> 00:36:12,759 Speaker 3: hanging out with a lot of you. I can't wait 661 00:36:12,800 --> 00:36:14,759 Speaker 3: to see the biggest game of the year so far 662 00:36:14,840 --> 00:36:15,680 Speaker 3: in college football. 663 00:36:15,800 --> 00:36:18,279 Speaker 1: You know, we had our stake last night because Clay 664 00:36:18,280 --> 00:36:20,520 Speaker 1: got to collect on his bet. I still owe Jesse 665 00:36:20,640 --> 00:36:22,640 Speaker 1: Kelly a trip to Red Lobster, at least that will 666 00:36:22,680 --> 00:36:25,680 Speaker 1: be a little less expensive than this one. But I 667 00:36:25,719 --> 00:36:27,680 Speaker 1: will say we had a great time. Carrie was there, 668 00:36:27,760 --> 00:36:30,440 Speaker 1: my brother Mason was there, who's our co founder of 669 00:36:30,480 --> 00:36:35,680 Speaker 1: Crocket Coffee. But David wrote in Clay, Clay, we all 670 00:36:35,719 --> 00:36:38,440 Speaker 1: know that you would rather have had a quiet dinner 671 00:36:38,560 --> 00:36:39,480 Speaker 1: with Bill Malugin. 672 00:36:40,960 --> 00:36:44,560 Speaker 2: I mean, I don't know. I'm just putting that outdate email. 673 00:36:44,680 --> 00:36:45,680 Speaker 2: David's calling you out. 674 00:36:45,880 --> 00:36:48,319 Speaker 3: Emailers are on fire. It would have been nice to 675 00:36:48,440 --> 00:36:51,120 Speaker 3: just have a nice romantic maybe have a couple of 676 00:36:51,160 --> 00:36:53,120 Speaker 3: glasses of wine with my buddy Bill Malugin. 677 00:36:53,760 --> 00:36:55,560 Speaker 2: Phil's a good sport. We'll be back in just a 678 00:36:55,600 --> 00:36:55,839 Speaker 2: few