1 00:00:00,120 --> 00:00:03,000 Speaker 1: Third hour play and Buck gets going right now. Our 2 00:00:03,000 --> 00:00:07,160 Speaker 1: friend Ryan Gurdusky joins us. He is the author of 3 00:00:07,200 --> 00:00:11,200 Speaker 1: the National's populist newsletter on Substack, also founded of the 4 00:00:11,200 --> 00:00:13,040 Speaker 1: seventeen seventy six Project Pack. 5 00:00:13,880 --> 00:00:17,520 Speaker 2: Ryan, good to have you as always, thanks for having me. 6 00:00:18,400 --> 00:00:22,360 Speaker 1: Let's take a look first at the numbers as you 7 00:00:22,560 --> 00:00:26,200 Speaker 1: see them today, the day after the debate. What are 8 00:00:26,239 --> 00:00:28,640 Speaker 1: the debate numbers and what are the poll numbers looking 9 00:00:28,800 --> 00:00:32,159 Speaker 1: like as much as we can dive into that data. 10 00:00:32,240 --> 00:00:34,479 Speaker 3: So in the debate numbers, we'll start with that. The 11 00:00:34,520 --> 00:00:39,519 Speaker 3: CNN instapole results had Kamala winning the debate with sixty 12 00:00:39,520 --> 00:00:42,720 Speaker 3: three percent and Trump having thirty seven percent. Thirty seven 13 00:00:42,760 --> 00:00:45,400 Speaker 3: percent of viewers said Trump won sixty three percent. Can 14 00:00:45,400 --> 00:00:48,600 Speaker 3: I say, Kamala one? This is fairly in line with 15 00:00:48,680 --> 00:00:53,720 Speaker 3: almost every single debate Trump has ever had CNN instapoles. 16 00:00:53,720 --> 00:00:55,920 Speaker 3: That's chem I mean, which are not you know signs? 17 00:00:55,920 --> 00:00:59,760 Speaker 3: Because it's right afterwards only among viewers, Trump will get 18 00:01:00,080 --> 00:01:04,520 Speaker 3: twenty seven percent versus Hillary's sixty two percent in twenty sixteen, 19 00:01:05,000 --> 00:01:07,600 Speaker 3: and in twenty twenty the first debate with Biden, he 20 00:01:07,680 --> 00:01:11,680 Speaker 3: got twenty eight percent to Biden's sixty percent. Trump is 21 00:01:11,760 --> 00:01:15,319 Speaker 3: not a very good debater, never really has been. With 22 00:01:15,400 --> 00:01:18,959 Speaker 3: the sole exception of the last debate with Joe Biden, 23 00:01:19,280 --> 00:01:23,520 Speaker 3: Trump has never won a single debate in a CNN instapole. 24 00:01:24,120 --> 00:01:28,000 Speaker 3: Going into how he's performing election wise, according to all 25 00:01:28,120 --> 00:01:34,160 Speaker 3: the major poll aggregate websites, in the national polls, Trump 26 00:01:34,480 --> 00:01:37,520 Speaker 3: is either behind from one point to three points. And 27 00:01:37,520 --> 00:01:41,880 Speaker 3: that's according to poll agrogi gets including ad Silver, including 28 00:01:41,880 --> 00:01:44,360 Speaker 3: five thirty eight, the Economist Race to the White House 29 00:01:44,440 --> 00:01:49,760 Speaker 3: Vodor hub Jaje k forecast. They all have Kamala with 30 00:01:49,840 --> 00:01:51,920 Speaker 3: a lead, but it's a slight lead. It's a lead 31 00:01:51,960 --> 00:01:55,160 Speaker 3: between one and three points. As I said, if there 32 00:01:55,240 --> 00:01:58,280 Speaker 3: is a pera in Comma's favor, the same way there 33 00:01:58,320 --> 00:02:02,400 Speaker 3: was a polling error in Joe Biden's favor in twenty 34 00:02:02,480 --> 00:02:06,200 Speaker 3: twenty and in Hillary's favor in twenty sixteen, although hillaries 35 00:02:06,320 --> 00:02:09,320 Speaker 3: was in the margin of error that would put Kamala 36 00:02:09,320 --> 00:02:14,160 Speaker 3: at about a point ahead of Trump nationally, which is 37 00:02:14,160 --> 00:02:17,280 Speaker 3: what you're looking at. The last three major polls that 38 00:02:17,360 --> 00:02:21,360 Speaker 3: came out all within the span of last seventy two 39 00:02:21,440 --> 00:02:24,320 Speaker 3: hours or last week. Rather the New York Times Sianna Pole, 40 00:02:24,320 --> 00:02:26,760 Speaker 3: which had Trump up one point, the Marquete pole which 41 00:02:26,800 --> 00:02:29,840 Speaker 3: had horsed up by one point. I was sorry, that 42 00:02:29,880 --> 00:02:32,440 Speaker 3: was the Maris pole that had a comma up one point. 43 00:02:33,400 --> 00:02:36,000 Speaker 3: The and then the Pew Research poll which had at 44 00:02:36,040 --> 00:02:38,520 Speaker 3: a dead tie are all telling about the same story, 45 00:02:38,680 --> 00:02:41,040 Speaker 3: which is a close national race. 46 00:02:42,360 --> 00:02:45,080 Speaker 4: Ryan, Isn't this race just gonna come down to who 47 00:02:45,080 --> 00:02:48,400 Speaker 4: wins Pennsylvania? If you had to say, I want to 48 00:02:48,440 --> 00:02:52,160 Speaker 4: know one state and I told you the exact results 49 00:02:52,160 --> 00:02:56,400 Speaker 4: for Pennsylvania, couldn't you tell almost entirely based on how 50 00:02:56,400 --> 00:02:59,000 Speaker 4: Pennsylvania votes, what's going to happen in the national race. 51 00:03:00,160 --> 00:03:02,600 Speaker 3: So I wrote this in the National Populis Substack, my 52 00:03:02,680 --> 00:03:05,639 Speaker 3: Nationalpis newsletter on substack. There are three states that will 53 00:03:05,639 --> 00:03:09,480 Speaker 3: decide this election. Georgia, North Carolina, and Pennsylvania. Those are 54 00:03:09,520 --> 00:03:15,160 Speaker 3: the three. If I guarantee whatever happens in those three states, 55 00:03:15,400 --> 00:03:18,079 Speaker 3: there is no way for the winner of those three 56 00:03:18,120 --> 00:03:21,560 Speaker 3: states to lose nationally. So, yeah, Pennsylvania is one of 57 00:03:21,600 --> 00:03:24,400 Speaker 3: the three, and it is the large electoral getter of 58 00:03:24,440 --> 00:03:28,520 Speaker 3: the three, most amount of Electoral College votes of the three. 59 00:03:28,720 --> 00:03:30,799 Speaker 3: But those are the three that decide. They're all on 60 00:03:30,880 --> 00:03:32,000 Speaker 3: these coasts. 61 00:03:31,560 --> 00:03:33,600 Speaker 4: And you would sorry, sorry to cut you off. But 62 00:03:33,600 --> 00:03:35,720 Speaker 4: Trump would be in the lead in Georgia and North 63 00:03:35,760 --> 00:03:40,720 Speaker 4: Carolina based on general consensus, gambling markets, all those things, 64 00:03:41,000 --> 00:03:43,800 Speaker 4: and Pennsylvania basically is a straight toss up. 65 00:03:45,440 --> 00:03:48,120 Speaker 3: In most of the ones that factor in things like 66 00:03:48,200 --> 00:03:51,400 Speaker 3: polling errors. North Carolina and Georgia are within Trump or 67 00:03:51,680 --> 00:03:56,160 Speaker 3: Trump a very small lead, and have Harris has a 68 00:03:56,320 --> 00:03:59,800 Speaker 3: very small lead in Pennsylvania. They average out that North 69 00:03:59,800 --> 00:04:04,400 Speaker 3: Carolina and Georgia have about a lead of about half 70 00:04:04,440 --> 00:04:07,680 Speaker 3: a point for Trump and lead for Harris by one 71 00:04:07,680 --> 00:04:10,360 Speaker 3: point in Pennsylvania. But I will mind, I will sit 72 00:04:10,400 --> 00:04:16,040 Speaker 3: there and say North Carolina and Pennsylvania polsters usually oversample 73 00:04:16,400 --> 00:04:21,640 Speaker 3: Democrats in these polls. Georgia they usually over sample Republicans. Georgia, 74 00:04:21,720 --> 00:04:26,000 Speaker 3: like many other states, including Texas, Virginia, Wisconsin, do not 75 00:04:26,200 --> 00:04:29,719 Speaker 3: register voters by party. They just register to vote and 76 00:04:29,760 --> 00:04:31,800 Speaker 3: they vote in the primaries in which they want to vote. 77 00:04:31,800 --> 00:04:35,719 Speaker 3: In Pennsylvania and North Carolina registered voters by party. It's 78 00:04:35,760 --> 00:04:38,839 Speaker 3: a lot easier than sit there and identify voters based 79 00:04:38,880 --> 00:04:41,520 Speaker 3: upon you know, if they're actually a Democrat or actually 80 00:04:41,520 --> 00:04:45,080 Speaker 3: a Republican in those states, but Georgia, typically the polls 81 00:04:45,200 --> 00:04:49,800 Speaker 3: usually overly favor Republicans, and in North Carolina and Pennsylvania 82 00:04:49,839 --> 00:04:51,800 Speaker 3: they overly favor Democrats. 83 00:04:52,880 --> 00:04:56,600 Speaker 1: So Ryan, as far as you can tell and as 84 00:04:56,600 --> 00:04:59,560 Speaker 1: far as the numbers are are speaking to this, are 85 00:04:59,600 --> 00:05:05,400 Speaker 1: we essentially guaranteed a very tight election in terms of 86 00:05:05,520 --> 00:05:08,760 Speaker 1: just the vote totals in the states that matter. When 87 00:05:08,800 --> 00:05:11,279 Speaker 1: all said and DONO mean, is there any way that 88 00:05:11,320 --> 00:05:13,440 Speaker 1: you could see this turning into some kind of a route? 89 00:05:14,800 --> 00:05:18,080 Speaker 3: I mean, could there? Yeah? Nate Silver has this as 90 00:05:18,120 --> 00:05:20,760 Speaker 3: a route. They have Trump winning every single swing state. 91 00:05:21,040 --> 00:05:23,680 Speaker 3: Most other predictors say it will split. The Sun Belt 92 00:05:23,720 --> 00:05:26,120 Speaker 3: will go for Trump, the Ross Belt will go for Kamala. 93 00:05:26,200 --> 00:05:28,479 Speaker 3: I do not believe that, though. I think that there 94 00:05:28,560 --> 00:05:31,159 Speaker 3: is a massive polling era, as I've written about this 95 00:05:31,200 --> 00:05:34,560 Speaker 3: over and over again, where they are overpolling old liberal 96 00:05:34,640 --> 00:05:38,559 Speaker 3: voters who have a heavy response bias. Their answering polls 97 00:05:38,560 --> 00:05:41,120 Speaker 3: are too high of a number. In the Survey USA 98 00:05:41,279 --> 00:05:44,800 Speaker 3: and Quinnepiac pull, I think Survey USA had Trump up 99 00:05:44,839 --> 00:05:48,520 Speaker 3: by five among North Carolina seniors and Quiney Piac had 100 00:05:48,839 --> 00:05:52,040 Speaker 3: I think Kama up eight or nine among North Carolina seniors. 101 00:05:52,160 --> 00:05:55,159 Speaker 3: That's a demographic that is heavily Republican. Trump won it 102 00:05:55,160 --> 00:05:57,839 Speaker 3: by twenty points last time, and I think by about 103 00:05:57,920 --> 00:06:02,280 Speaker 3: nineteen points the time before. A heavy, heavy, heavy Republican demographic. 104 00:06:02,440 --> 00:06:05,960 Speaker 3: There's no way on this planet that it's going to 105 00:06:06,040 --> 00:06:09,240 Speaker 3: even resemble close to that polls. And why I say 106 00:06:09,320 --> 00:06:12,400 Speaker 3: seniors over like African Americans or Hispanics, which are a 107 00:06:12,480 --> 00:06:15,640 Speaker 3: very small sample size in the sub sect. Seniors are 108 00:06:15,680 --> 00:06:18,960 Speaker 3: about third thirty percent of twenty five percent, so it's 109 00:06:19,000 --> 00:06:21,880 Speaker 3: a very large sample size. It is a very small 110 00:06:21,920 --> 00:06:24,040 Speaker 3: margin of error. So when you're talking about a twenty 111 00:06:24,080 --> 00:06:29,760 Speaker 3: five thirty point twenty point difference between elections and polls 112 00:06:30,120 --> 00:06:33,320 Speaker 3: with subsets of cross tabs, you're looking at a real 113 00:06:33,400 --> 00:06:36,279 Speaker 3: response bias. And this was true of the response bias 114 00:06:36,320 --> 00:06:39,640 Speaker 3: in twenty twenty and in twenty sixteen. The illusion of 115 00:06:39,680 --> 00:06:43,279 Speaker 3: the silent Trump voter often comes from the fact that seniors, 116 00:06:43,440 --> 00:06:48,040 Speaker 3: old liberal seniors are oversampled in these polls. They want 117 00:06:48,240 --> 00:06:51,760 Speaker 3: pollsters to know their opinion. Old liberals love to tell 118 00:06:51,839 --> 00:06:54,760 Speaker 3: you their opinions. At this point, they're calling polsters and like, hey, 119 00:06:54,800 --> 00:06:56,480 Speaker 3: do you want to hear my opinion on this election? 120 00:06:57,080 --> 00:07:00,320 Speaker 3: That is what we're seeing over and over and over again. 121 00:07:00,440 --> 00:07:02,040 Speaker 3: I think that's where you're going to sit there and 122 00:07:02,040 --> 00:07:05,880 Speaker 3: see Trump gain a point. Nationally is in the senior vote, 123 00:07:05,920 --> 00:07:08,840 Speaker 3: and that's where states like Pennsylvania North Carolina could very 124 00:07:08,839 --> 00:07:11,920 Speaker 3: well easily decided, and none of these holes have the debate. 125 00:07:12,200 --> 00:07:16,120 Speaker 3: You know in if factored in, Kamala very well likely 126 00:07:16,200 --> 00:07:19,680 Speaker 3: may see a bump because of Trump's very poor performance 127 00:07:19,680 --> 00:07:23,920 Speaker 3: in the debate last night, But that will who knows 128 00:07:23,960 --> 00:07:26,360 Speaker 3: how long that will last. For it they typically do 129 00:07:26,480 --> 00:07:30,320 Speaker 3: not last all the way to election day. So a 130 00:07:30,320 --> 00:07:33,120 Speaker 3: lot of people have lost their first debates went on 131 00:07:33,200 --> 00:07:36,760 Speaker 3: to win their election. Barack Obama, Donald Trump, George W. 132 00:07:36,880 --> 00:07:40,040 Speaker 3: Bush lost his first debate pretty badly, and they all 133 00:07:40,080 --> 00:07:42,600 Speaker 3: won their election. So it doesn't mean, you know, it's 134 00:07:43,000 --> 00:07:45,760 Speaker 3: definite for that it will definitely decide the election. 135 00:07:46,520 --> 00:07:49,320 Speaker 4: The answer may be yes, But our buck and eye 136 00:07:49,400 --> 00:07:54,880 Speaker 4: crazy for looking in the Midwest and saying just on 137 00:07:55,160 --> 00:07:57,840 Speaker 4: our belief I think he and I are aligned on this. 138 00:07:58,600 --> 00:08:04,040 Speaker 4: Old white people in Pennsylvania, Wisconsin, and Michigan in particular 139 00:08:04,760 --> 00:08:08,720 Speaker 4: are not going to support Kamala as much as they 140 00:08:08,760 --> 00:08:12,880 Speaker 4: supported Biden the Scranton Joe appeal. While we may think 141 00:08:12,960 --> 00:08:15,920 Speaker 4: it was bs based on the way he governed, did 142 00:08:16,120 --> 00:08:21,120 Speaker 4: persuade some old white moderate voters in those big ten states. 143 00:08:21,560 --> 00:08:25,640 Speaker 4: That's how he won in twenty twenty. There's no again, 144 00:08:25,800 --> 00:08:28,120 Speaker 4: I think there's no way that Kamala gets that same 145 00:08:28,240 --> 00:08:31,240 Speaker 4: level of support. So this part of this is is 146 00:08:31,280 --> 00:08:34,120 Speaker 4: there a black or Hispanic vote that she's gaining or 147 00:08:34,400 --> 00:08:36,920 Speaker 4: could that be dispositive for you in the Midwest. 148 00:08:37,880 --> 00:08:40,679 Speaker 3: So there's two groups that will change it for Kamala. 149 00:08:40,760 --> 00:08:43,240 Speaker 3: One is gen Z because there are millions of new 150 00:08:43,320 --> 00:08:47,160 Speaker 3: voters that were not registered to vote four years ago 151 00:08:47,440 --> 00:08:50,480 Speaker 3: that will be tilting heavily towards Kamala. That was a 152 00:08:50,559 --> 00:08:53,120 Speaker 3: huge fact in the twenty twenty two election, and abortion 153 00:08:53,280 --> 00:08:56,480 Speaker 3: is a major issue for them. The second is that 154 00:08:56,520 --> 00:09:01,960 Speaker 3: there have been three point three million new naturalized citizens 155 00:09:02,160 --> 00:09:05,360 Speaker 3: legal immigrants who vote two and a half or three 156 00:09:05,400 --> 00:09:10,960 Speaker 3: to one Democrat since the twenty twenty election. President Biden 157 00:09:11,200 --> 00:09:14,280 Speaker 3: ramped up the speed in which people became citizens for 158 00:09:14,320 --> 00:09:18,920 Speaker 3: a reason they vote heavily Democrat. During the last year 159 00:09:18,960 --> 00:09:22,240 Speaker 3: of the last few years of Obama's presidency, where he 160 00:09:22,360 --> 00:09:25,880 Speaker 3: was pushing for refugee resettlement, like the same way that 161 00:09:25,920 --> 00:09:29,280 Speaker 3: Biden where he's pushing a refugee resettlement is oftentimes in 162 00:09:29,360 --> 00:09:32,160 Speaker 3: swing states. So that's why you see huge clusters of 163 00:09:33,040 --> 00:09:36,400 Speaker 3: migrant voters going to swing state places where you're like, 164 00:09:36,480 --> 00:09:38,760 Speaker 3: this isn't weird. It's not like there's a huge Haitian 165 00:09:38,840 --> 00:09:43,200 Speaker 3: population in Springfield, Ohio. Now they're being purposely put into 166 00:09:43,320 --> 00:09:46,600 Speaker 3: swing states, and three point three million new people who 167 00:09:46,679 --> 00:09:49,440 Speaker 3: could vote, who will overwhelmingly be voting Democrat, as well 168 00:09:49,480 --> 00:09:52,640 Speaker 3: as the millions of new Gen Z voters will definitely 169 00:09:52,760 --> 00:09:55,480 Speaker 3: play a huge factor in it. The thing that they 170 00:09:55,520 --> 00:09:58,520 Speaker 3: need to sit there and to change that is they 171 00:09:58,559 --> 00:10:02,720 Speaker 3: need to increase voter turn out among non college educated whites. 172 00:10:03,000 --> 00:10:05,280 Speaker 3: Non college educated whites have the and I've said this 173 00:10:05,320 --> 00:10:09,120 Speaker 3: on your show before, have the worst voter participation among 174 00:10:09,200 --> 00:10:13,200 Speaker 3: any demographic except for recent immigrants. They do not vote 175 00:10:13,200 --> 00:10:17,520 Speaker 3: in high numbers. If they voted as often as whites 176 00:10:17,559 --> 00:10:20,960 Speaker 3: with a college degree, did it, I mean Oregon would 177 00:10:21,000 --> 00:10:23,280 Speaker 3: be a red state. It wouldn't even be a close election. 178 00:10:23,400 --> 00:10:25,800 Speaker 3: Virginia would be a red state. It's just a matter 179 00:10:25,840 --> 00:10:29,359 Speaker 3: of turnout. Trump is going to improve performance among Hispanics 180 00:10:29,400 --> 00:10:32,960 Speaker 3: and among Asians and among blacks, but this election is 181 00:10:33,040 --> 00:10:35,480 Speaker 3: boiled down to the white vote. Do whites without a 182 00:10:35,480 --> 00:10:38,080 Speaker 3: college degree turn up do they show up for Trump 183 00:10:38,800 --> 00:10:40,920 Speaker 3: and do they feel like Kamla does not have their 184 00:10:40,920 --> 00:10:42,000 Speaker 3: best interests? 185 00:10:42,640 --> 00:10:44,959 Speaker 1: What do you think is the most important focus the 186 00:10:45,000 --> 00:10:47,600 Speaker 1: Trump campaign can have between now an election day. So 187 00:10:47,640 --> 00:10:50,920 Speaker 1: that we don't have a super sad day coming up 188 00:10:50,960 --> 00:10:53,080 Speaker 1: in November, we have to have Ryan On have a 189 00:10:53,080 --> 00:10:54,040 Speaker 1: big cry session. 190 00:10:56,040 --> 00:10:56,280 Speaker 5: You know. 191 00:10:56,480 --> 00:10:59,559 Speaker 3: I think that Kamala Harris, at the age of sixty, 192 00:10:59,600 --> 00:11:02,200 Speaker 3: had a major life event where she changed all of 193 00:11:02,240 --> 00:11:06,440 Speaker 3: her beliefs overnight. Trump could have cornered her on all 194 00:11:06,480 --> 00:11:09,640 Speaker 3: those things. And I'm not talking about just fracking, which 195 00:11:09,679 --> 00:11:11,160 Speaker 3: was the issue they brought up over and over again. 196 00:11:11,360 --> 00:11:15,920 Speaker 3: She was radical on things like reparations, which is an 197 00:11:16,080 --> 00:11:21,240 Speaker 3: enormously unpopular idea. Kamala Harris supported a multi trillion dollar 198 00:11:21,360 --> 00:11:25,720 Speaker 3: reparation plan for the descendants of slaves. This is something 199 00:11:25,760 --> 00:11:28,800 Speaker 3: that's overwhelming and not only opposed by white voters, but 200 00:11:28,840 --> 00:11:31,800 Speaker 3: it's opposed by Asians and Hispanic voters who feel like 201 00:11:31,840 --> 00:11:33,920 Speaker 3: they were never part of the Civil War or anything 202 00:11:33,960 --> 00:11:37,000 Speaker 3: that followed it. I would bring up that, I would 203 00:11:37,040 --> 00:11:39,679 Speaker 3: bring up the fact that she was very radical left 204 00:11:39,960 --> 00:11:42,680 Speaker 3: on a number of issues, from taxes to the Green 205 00:11:42,760 --> 00:11:47,959 Speaker 3: New Deal to gun confiscation. She had a major life 206 00:11:48,000 --> 00:11:50,840 Speaker 3: change in one thousand days where she changed all of 207 00:11:50,840 --> 00:11:54,280 Speaker 3: her fundamental beliefs. She went from being a Bernie Sanders 208 00:11:54,559 --> 00:11:59,360 Speaker 3: Democrat to being you know, a pro choice George W. 209 00:11:59,520 --> 00:12:02,840 Speaker 3: Bush rep Republican in one thousand days, when she is 210 00:12:02,960 --> 00:12:06,480 Speaker 3: close to being a senior citizen. Life transformations don't usually 211 00:12:06,559 --> 00:12:10,200 Speaker 3: happen that free, at at that age, that quickly, but 212 00:12:10,320 --> 00:12:13,000 Speaker 3: for some reason, she did. And I think cornering her 213 00:12:13,240 --> 00:12:16,840 Speaker 3: on who she actually is, who is the real Kamala Harris, 214 00:12:17,120 --> 00:12:19,840 Speaker 3: is the essential thing because the beliefs that she had 215 00:12:19,880 --> 00:12:22,720 Speaker 3: in twenty nineteen were so unpopular, not even Democrats would 216 00:12:22,760 --> 00:12:24,760 Speaker 3: vote for her. And that's what you need to because 217 00:12:24,760 --> 00:12:27,000 Speaker 3: that's and that's why she's running basically as a pro 218 00:12:27,120 --> 00:12:32,240 Speaker 3: choice Republican nowadays. I mean she's about military, about cutting spending, 219 00:12:32,320 --> 00:12:36,000 Speaker 3: about you know, increasing child child tax credit. 220 00:12:36,000 --> 00:12:38,680 Speaker 2: It's all about building a wall. She wants to build 221 00:12:38,720 --> 00:12:40,280 Speaker 2: a wall, right, she. 222 00:12:40,200 --> 00:12:42,079 Speaker 3: Wants to build the wall. I mean, this is the 223 00:12:42,160 --> 00:12:47,199 Speaker 3: new Kamala Harris, a one thousand day life transformation. It's 224 00:12:47,240 --> 00:12:50,160 Speaker 3: never been seen before. And I think exposing that is 225 00:12:50,240 --> 00:12:51,080 Speaker 3: what she needed to sit. 226 00:12:50,920 --> 00:12:57,000 Speaker 4: There and say, you mentioned young voters. Taylor Swift endorses 227 00:12:57,480 --> 00:13:03,160 Speaker 4: right after the debate. It's clearly staged. But what is 228 00:13:03,160 --> 00:13:05,559 Speaker 4: the impact of someone like Taylor Swift? Do you buy 229 00:13:05,640 --> 00:13:08,440 Speaker 4: into celebrity endorsements moving anything? 230 00:13:09,800 --> 00:13:12,680 Speaker 3: I mean, back when celebrity was a real thing, like 231 00:13:12,720 --> 00:13:15,640 Speaker 3: when Oprah endorsed Obama, it was a real thing, but 232 00:13:15,679 --> 00:13:20,760 Speaker 3: there was media was much more organized around very few people, 233 00:13:20,840 --> 00:13:24,600 Speaker 3: what real celebrities were. Taylorswood is a real celebrity. I 234 00:13:24,600 --> 00:13:28,880 Speaker 3: don't know how. I don't I don't know what appeal 235 00:13:29,080 --> 00:13:33,320 Speaker 3: Taylor has with especially young people, the way that people, 236 00:13:33,480 --> 00:13:35,839 Speaker 3: maybe people are older think to this. Taylor SWI was 237 00:13:35,880 --> 00:13:39,640 Speaker 3: almost middle aged. I mean, she's not twenty one anymore. 238 00:13:39,679 --> 00:13:45,000 Speaker 3: She's not Charlie XCX or or people that younger people 239 00:13:45,040 --> 00:13:46,079 Speaker 3: are always listening to. 240 00:13:46,200 --> 00:13:49,680 Speaker 2: She TikTok knowledge no. 241 00:13:49,800 --> 00:13:51,640 Speaker 3: But she's been there for two she's been around for 242 00:13:51,640 --> 00:13:55,520 Speaker 3: two decades. She's not a young person. She's young, relatively young, 243 00:13:55,679 --> 00:13:58,240 Speaker 3: but she's not young young. She's not a twenty one 244 00:13:58,360 --> 00:14:00,840 Speaker 3: year old who excites people. And the media is not 245 00:14:01,000 --> 00:14:04,480 Speaker 3: where everyone watched the same nine to ten things and 246 00:14:04,559 --> 00:14:07,640 Speaker 3: that was how we consume media. I don't know how 247 00:14:07,760 --> 00:14:09,959 Speaker 3: much how much appeal it has. I looked at people 248 00:14:09,960 --> 00:14:12,120 Speaker 3: that I knew on Instagram, maybe I didn't know their 249 00:14:12,160 --> 00:14:14,680 Speaker 3: opinions and when they liked who liked it? Everyone I know. 250 00:14:14,800 --> 00:14:16,840 Speaker 3: Who I saw who liked it, I knew was a 251 00:14:16,880 --> 00:14:19,640 Speaker 3: liberal who was voting for her. So I don't know 252 00:14:19,640 --> 00:14:22,160 Speaker 3: if that really, you know, will change anyone's vote. Maybe 253 00:14:22,160 --> 00:14:23,960 Speaker 3: it will motivate some people to go out and get 254 00:14:23,960 --> 00:14:26,840 Speaker 3: out a vote. She's clearly not campaigning for her as 255 00:14:26,880 --> 00:14:29,800 Speaker 3: of anything I've ever seen yet. And it didn't help 256 00:14:29,880 --> 00:14:32,920 Speaker 3: celebrities in twenty sixteen when they were all saying they 257 00:14:32,920 --> 00:14:36,880 Speaker 3: are campaigning heavily for Hillary Clinton. And you know, it's 258 00:14:36,920 --> 00:14:39,840 Speaker 3: not like celebrities were you, like, supported George W. 259 00:14:40,000 --> 00:14:40,280 Speaker 6: Bush. 260 00:14:40,440 --> 00:14:43,960 Speaker 3: We've never really seen uh, celebrities in the modern age 261 00:14:43,960 --> 00:14:45,360 Speaker 3: support Republican So I. 262 00:14:45,400 --> 00:14:45,800 Speaker 2: Remember that. 263 00:14:47,520 --> 00:14:50,880 Speaker 1: Celebrity Remember the celebrity montage they did for Hillary with 264 00:14:50,960 --> 00:14:55,920 Speaker 1: the fight song, and they had like, yeah, the level 265 00:14:56,040 --> 00:14:56,840 Speaker 1: of cringe. 266 00:14:57,280 --> 00:14:59,920 Speaker 3: So I watched that like once a month. 267 00:15:00,080 --> 00:15:03,200 Speaker 1: Yeah, yeah, it's still very good. Brian ger Dusky, everybody, 268 00:15:03,200 --> 00:15:05,200 Speaker 1: if you want to know what's going on, follow him. 269 00:15:05,280 --> 00:15:07,640 Speaker 1: Go to the National Populace newsletter on substack. 270 00:15:08,040 --> 00:15:09,240 Speaker 2: Ryan. Always great to have you. 271 00:15:09,200 --> 00:15:14,360 Speaker 1: Buddy, Thank you protecting your family's your highest priority right. 272 00:15:14,800 --> 00:15:16,440 Speaker 1: You need the right products to do with though, and 273 00:15:16,440 --> 00:15:21,320 Speaker 1: they come from Saber. Saber is spelled Sabre. It's a 274 00:15:21,360 --> 00:15:25,000 Speaker 1: family owned business that's dedicated to personal safety. 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That's eight four four eight 292 00:16:26,120 --> 00:16:27,600 Speaker 1: two four safe. 293 00:16:28,280 --> 00:16:31,840 Speaker 3: You know them as conservative radio hosts, now just get 294 00:16:31,840 --> 00:16:33,680 Speaker 3: to know them as guys. 295 00:16:33,640 --> 00:16:36,760 Speaker 2: On the Sunday Hang Podcast with Clay and Buck. 296 00:16:37,040 --> 00:16:40,080 Speaker 4: Find it in their podcast feed on the iHeartRadio app 297 00:16:40,200 --> 00:16:43,440 Speaker 4: or wherever you get your podcasts. Welcome back in Clay 298 00:16:43,480 --> 00:16:46,800 Speaker 4: Travis Bought Sexton Show. We will discuss this a bit 299 00:16:46,920 --> 00:16:48,680 Speaker 4: more when we come back, but I want to hit 300 00:16:48,720 --> 00:16:52,880 Speaker 4: you with this data. Fifty one point two million people 301 00:16:52,960 --> 00:16:56,880 Speaker 4: watched Biden Trump. That was down about thirty percent from 302 00:16:56,920 --> 00:17:02,120 Speaker 4: the audience for the first debate in twenty only. Fifty 303 00:17:02,280 --> 00:17:07,240 Speaker 4: seven point seven million debate viewers right now appear to 304 00:17:07,440 --> 00:17:11,879 Speaker 4: have watched last night between Trump and Kamala. That's also 305 00:17:12,119 --> 00:17:17,879 Speaker 4: down a massive amount over twenty twenty. To me, Buck, 306 00:17:18,119 --> 00:17:21,320 Speaker 4: this data reflects that a lot of people have already 307 00:17:21,320 --> 00:17:24,320 Speaker 4: made up their mind and maybe tuning out many of 308 00:17:24,359 --> 00:17:27,800 Speaker 4: the details associated with the debates. Because those are relatively 309 00:17:27,880 --> 00:17:33,200 Speaker 4: small numbers relative to historic standards. Maybe that suggests also 310 00:17:33,560 --> 00:17:35,840 Speaker 4: the overall number of voters is going to be down. 311 00:17:36,240 --> 00:17:38,320 Speaker 4: We'll talk about that a bit more and whether there's 312 00:17:38,359 --> 00:17:41,000 Speaker 4: going to be more debates when we come back here 313 00:17:41,119 --> 00:17:44,399 Speaker 4: on the flip side in a moment. But in the meantime, 314 00:17:44,440 --> 00:17:46,040 Speaker 4: I want to tell you all about Pure Talk and 315 00:17:46,040 --> 00:17:48,320 Speaker 4: what a difference the right phone can make for you 316 00:17:48,600 --> 00:17:52,280 Speaker 4: and your family. My fourteen year old this weekend, my 317 00:17:52,440 --> 00:17:55,960 Speaker 4: thirteen year old is turning fourteen. This weekend, he gets 318 00:17:56,000 --> 00:17:58,520 Speaker 4: his own Pure Talk phone. Fourteen years old is when 319 00:17:58,560 --> 00:18:00,560 Speaker 4: the kids in the house get their own. 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You can keep your 330 00:18:30,480 --> 00:18:33,879 Speaker 4: same phone and your same phone number. You can also 331 00:18:33,960 --> 00:18:36,359 Speaker 4: get as much data as you need at a much 332 00:18:36,440 --> 00:18:38,840 Speaker 4: cheaper price than what you're paying the big guys. Now 333 00:18:39,280 --> 00:18:42,960 Speaker 4: pound two five zero say Clay and Buck to start 334 00:18:43,000 --> 00:18:46,520 Speaker 4: saving now on your cell phone plans. That's pound two 335 00:18:46,600 --> 00:18:50,160 Speaker 4: five zero fifty percent off your first month pound two 336 00:18:50,200 --> 00:18:52,120 Speaker 4: five zero, say Clay and Buddy. 337 00:18:51,920 --> 00:18:52,440 Speaker 2: It happens. 338 00:18:52,480 --> 00:18:57,919 Speaker 1: Now, where is it all heading? My friends VR in 339 00:18:58,080 --> 00:19:02,440 Speaker 1: almost mid September. Here we got an election coming up 340 00:19:02,960 --> 00:19:05,159 Speaker 1: less than two months away. I can't believe how this 341 00:19:05,320 --> 00:19:10,200 Speaker 1: is all coming together. It feels like with each passing day, 342 00:19:10,240 --> 00:19:12,120 Speaker 1: the days are getting shorter. On this well, I guess 343 00:19:12,160 --> 00:19:13,960 Speaker 1: technically they are getting shorter, right because of the light 344 00:19:14,480 --> 00:19:16,960 Speaker 1: you know, daylight savings. But you know what I mean, yes, 345 00:19:17,000 --> 00:19:19,320 Speaker 1: not even a metaphor not even a metaphor just a 346 00:19:19,359 --> 00:19:21,840 Speaker 1: real thing. The days are getting shorter in every sense, 347 00:19:23,000 --> 00:19:24,960 Speaker 1: and I think that we're getting closer and closer to 348 00:19:25,600 --> 00:19:30,040 Speaker 1: what will certainly be a tense election day. I still 349 00:19:30,040 --> 00:19:32,600 Speaker 1: feel good about things. I'm not too concerned. Trump here, 350 00:19:32,600 --> 00:19:35,800 Speaker 1: this has cut twenty three. He says that they we 351 00:19:35,800 --> 00:19:37,200 Speaker 1: didn't really get into this play. We'll get in a 352 00:19:37,240 --> 00:19:41,280 Speaker 1: little more. That they want a second debate because they lost. 353 00:19:41,320 --> 00:19:44,879 Speaker 2: Play twenty three. You commit to a second debate with 354 00:19:45,000 --> 00:19:45,800 Speaker 2: Kamala Harris. 355 00:19:45,960 --> 00:19:48,960 Speaker 5: Believe I can debate because she lost tonight ver eventley, 356 00:19:49,080 --> 00:19:52,200 Speaker 5: so they won. They immediately called for second debate because 357 00:19:52,240 --> 00:19:52,760 Speaker 5: they lost. 358 00:19:53,320 --> 00:19:54,840 Speaker 2: So we'll you don't think. 359 00:19:54,640 --> 00:19:58,000 Speaker 5: About that, but she immediately called for a second look. 360 00:19:58,400 --> 00:20:01,440 Speaker 5: We're looking at Paul's We're looking at it both the 361 00:20:02,240 --> 00:20:04,720 Speaker 5: worst ball that we've had with seventy one that I 362 00:20:04,840 --> 00:20:08,760 Speaker 5: see seventy to like twenty four, twenty five. 363 00:20:10,119 --> 00:20:12,280 Speaker 2: So I see this to two ways. 364 00:20:12,600 --> 00:20:15,679 Speaker 1: Right now, it hasn't been set yet, right they haven't 365 00:20:16,040 --> 00:20:20,480 Speaker 1: officially officially, it sounds like the campaigns are leaning toward 366 00:20:20,480 --> 00:20:23,040 Speaker 1: a second debate. We also, I should just note as 367 00:20:23,080 --> 00:20:29,920 Speaker 1: an aside here, we have the vice presidential debate coming 368 00:20:30,000 --> 00:20:33,359 Speaker 1: up on October one between JD Vance and Tim Walls. 369 00:20:34,440 --> 00:20:37,720 Speaker 2: I think that he's going to be very good. JD. 370 00:20:37,840 --> 00:20:39,720 Speaker 1: Van's going to be very good in the debate. I 371 00:20:39,760 --> 00:20:42,359 Speaker 1: don't think anybody cares about that vice president debate. I really, 372 00:20:42,520 --> 00:20:44,439 Speaker 1: I just don't think that it's just a it's a 373 00:20:44,480 --> 00:20:48,840 Speaker 1: side show and I don't even know why they're having it. 374 00:20:48,880 --> 00:20:50,600 Speaker 1: I mean, for JD it's good. I guess that people 375 00:20:50,600 --> 00:20:53,760 Speaker 1: get to look at him for the future. But you know, 376 00:20:53,920 --> 00:20:56,560 Speaker 1: it's it's not gonna matter. I mean, I'll watch it 377 00:20:56,600 --> 00:20:59,399 Speaker 1: because this is our job, but you know, I wouldn't 378 00:20:59,400 --> 00:21:01,959 Speaker 1: recommend any if you watch it, Like we'll tell you 379 00:21:02,000 --> 00:21:04,439 Speaker 1: what happens. I promise they'll waste your time. But the 380 00:21:04,480 --> 00:21:08,119 Speaker 1: second presidential debate would be a bigger deal. And you 381 00:21:08,160 --> 00:21:11,480 Speaker 1: know Trump's analysis here. He's Trump, so he sees things 382 00:21:12,000 --> 00:21:15,640 Speaker 1: a certain way that tends to be favorable to all 383 00:21:15,680 --> 00:21:18,000 Speaker 1: things Trump. Uh, there's two ways that I could see 384 00:21:18,000 --> 00:21:21,760 Speaker 1: this play. On the one hand, wanting another debate is 385 00:21:21,800 --> 00:21:27,479 Speaker 1: an admission that the Kamala campaign is still behind. But 386 00:21:27,560 --> 00:21:32,119 Speaker 1: there's also the other hand, Kamala's campaign may see this 387 00:21:32,200 --> 00:21:33,800 Speaker 1: as a way to try to make up some more 388 00:21:33,800 --> 00:21:36,719 Speaker 1: of those points because they think they did some of 389 00:21:36,760 --> 00:21:37,600 Speaker 1: that last night. 390 00:21:37,680 --> 00:21:39,199 Speaker 2: What do you think. 391 00:21:40,640 --> 00:21:44,959 Speaker 4: I I think who moderates This is maybe the determinive 392 00:21:45,000 --> 00:21:47,280 Speaker 4: factor of whether I would do another debate if I 393 00:21:47,320 --> 00:21:51,920 Speaker 4: were Trump. I don't think he benefits. He's already done CNN, 394 00:21:52,359 --> 00:21:57,600 Speaker 4: He's now done ABC, two different networks that clearly hate him. 395 00:21:58,040 --> 00:22:01,960 Speaker 4: The vice presidential debate is on NBC. I don't think 396 00:22:01,960 --> 00:22:05,800 Speaker 4: he benefits from going into the lions Den again. If 397 00:22:05,880 --> 00:22:08,920 Speaker 4: I were Trump and I were advising him, I would 398 00:22:08,920 --> 00:22:13,240 Speaker 4: say I did CNN, I did ABC. Those are left 399 00:22:13,320 --> 00:22:17,600 Speaker 4: leaning media outlets. I will do Fox News, as he 400 00:22:17,680 --> 00:22:21,639 Speaker 4: has proposed before. I will do Fox News on October eleventh, 401 00:22:22,119 --> 00:22:24,200 Speaker 4: if you show and I would take the I would 402 00:22:24,280 --> 00:22:27,320 Speaker 4: take it now, meaning I would put that out there 403 00:22:27,359 --> 00:22:31,800 Speaker 4: in the public today, because then it's like, hey, here, 404 00:22:32,359 --> 00:22:35,560 Speaker 4: I agreed to your prescriptions. I've agreed to this. I'll 405 00:22:35,560 --> 00:22:38,560 Speaker 4: do Fox News on October tenth or whatever date it is, 406 00:22:40,240 --> 00:22:42,680 Speaker 4: and I'm going to show up and do a town hall. 407 00:22:42,720 --> 00:22:45,120 Speaker 4: If you don't show up, I'm showing up either way. 408 00:22:45,680 --> 00:22:48,919 Speaker 4: And then it puts the onus on Kamalo. Will she 409 00:22:49,160 --> 00:22:51,719 Speaker 4: go on Fox News? I think the answer is no, 410 00:22:52,280 --> 00:22:55,200 Speaker 4: and then you get into wrangling over debate terms and 411 00:22:55,280 --> 00:22:57,520 Speaker 4: you can see how the polling looks and make a 412 00:22:57,520 --> 00:23:00,480 Speaker 4: decision then on whether or not you want to do it. 413 00:23:00,520 --> 00:23:01,520 Speaker 2: That's how I would play it. 414 00:23:01,960 --> 00:23:03,920 Speaker 1: And this is gonna sound a little whiny, but I'm 415 00:23:03,960 --> 00:23:05,359 Speaker 1: just gonna say it because I think it needs to 416 00:23:05,400 --> 00:23:08,240 Speaker 1: be said. You know what's unfair about all this too. 417 00:23:09,119 --> 00:23:12,760 Speaker 1: If Kamala went on Fox News, yes, it would be 418 00:23:12,800 --> 00:23:16,679 Speaker 1: a fair debate. Our team just won't do that. They 419 00:23:16,760 --> 00:23:19,080 Speaker 1: would There will not be a fire everyone, There will 420 00:23:19,119 --> 00:23:20,960 Speaker 1: not be a Fox News ambush. 421 00:23:21,080 --> 00:23:23,560 Speaker 2: The anchors, if they would choose, would run it fair. 422 00:23:23,600 --> 00:23:24,600 Speaker 2: They'd run it straight. 423 00:23:24,840 --> 00:23:26,680 Speaker 1: And we all know this and this is just one 424 00:23:26,680 --> 00:23:30,560 Speaker 1: of these they're willing to, you know, hit you in 425 00:23:30,560 --> 00:23:32,880 Speaker 1: the ribs when the ref isn't looking and our team isn't. 426 00:23:32,920 --> 00:23:34,520 Speaker 2: I don't know what else to say, but that's true, 427 00:23:34,560 --> 00:23:35,000 Speaker 2: the truth. 428 00:23:35,680 --> 00:23:40,600 Speaker 4: Yeah, Martha McCollum and Brett Bayer are who Trump suggested. 429 00:23:41,000 --> 00:23:43,840 Speaker 4: I can guarantee you that they would be straight down 430 00:23:43,880 --> 00:23:45,720 Speaker 4: the middle and they would be completely fair. 431 00:23:46,040 --> 00:23:49,320 Speaker 1: In fact, the only the complaints about them because of 432 00:23:49,400 --> 00:23:52,240 Speaker 1: the lopside in an insane way that the Democrats view 433 00:23:52,280 --> 00:23:55,320 Speaker 1: this stuff. The complaints about them would be why didn't 434 00:23:55,320 --> 00:23:59,119 Speaker 1: they fact check fact check Trump's complaints that fashion and 435 00:23:59,200 --> 00:24:01,760 Speaker 1: Jake Tapper got from the left right. I mean you 436 00:24:02,320 --> 00:24:06,719 Speaker 1: so running, Just to be clear, running a straight and 437 00:24:06,840 --> 00:24:12,000 Speaker 1: fair debate is always unacceptable to Democrats, especially when it 438 00:24:12,000 --> 00:24:15,400 Speaker 1: comes to Trump. If you just ask questions and let 439 00:24:15,440 --> 00:24:19,840 Speaker 1: the people talk who are the candidates? That is unacceptable 440 00:24:19,840 --> 00:24:21,639 Speaker 1: to Democrats. They will complain about that. 441 00:24:22,240 --> 00:24:24,719 Speaker 4: I think that's important because it also ties in with 442 00:24:25,000 --> 00:24:31,240 Speaker 4: larger societal free speech codes. They're angry that Elon Musk 443 00:24:31,600 --> 00:24:35,600 Speaker 4: on Twitter slash x is just allowing people to say 444 00:24:35,640 --> 00:24:39,280 Speaker 4: what they think. They don't want a free and open 445 00:24:39,400 --> 00:24:43,119 Speaker 4: forum where candidates can make arguments, and the American public 446 00:24:43,160 --> 00:24:46,840 Speaker 4: can decide which arguments they find more compelling. They demand 447 00:24:46,920 --> 00:24:49,760 Speaker 4: a referee that is going to put his or her 448 00:24:49,840 --> 00:24:53,400 Speaker 4: hands on the scales in their favor. We're not even 449 00:24:53,520 --> 00:24:56,040 Speaker 4: arguing for that. We're just saying, hey, let's have an 450 00:24:56,080 --> 00:24:59,200 Speaker 4: open forum. You and I came on and said after 451 00:24:59,240 --> 00:25:02,800 Speaker 4: the CNN debate, hey, Jake Tapper and Dana Bash pretty 452 00:25:02,840 --> 00:25:05,919 Speaker 4: much stayed out of the fray. They let Joe Biden 453 00:25:06,040 --> 00:25:09,560 Speaker 4: and Donald Trump go after each other, and the goal 454 00:25:09,680 --> 00:25:12,720 Speaker 4: is to give people more information. If the same thing 455 00:25:12,800 --> 00:25:17,239 Speaker 4: is true of this debate, then we would have come 456 00:25:17,280 --> 00:25:18,840 Speaker 4: on and we would have said, hey, you know, it 457 00:25:18,880 --> 00:25:21,560 Speaker 4: was a fair fight. They stayed out of the way. Instead, 458 00:25:21,600 --> 00:25:25,600 Speaker 4: Lindsay Davis and David Muir decided to make themselves really 459 00:25:25,640 --> 00:25:27,880 Speaker 4: strong parts of the debate. Here's the thing that's really 460 00:25:27,920 --> 00:25:30,879 Speaker 4: a kick in the teeth to me, Buck. In so doing, 461 00:25:31,640 --> 00:25:36,480 Speaker 4: they made themselves millions of dollars out to say their 462 00:25:36,560 --> 00:25:39,240 Speaker 4: contract extension ever never get fired. 463 00:25:39,720 --> 00:25:44,359 Speaker 1: Their contract extensions were a done deal. After last night's debate. 464 00:25:45,160 --> 00:25:48,880 Speaker 1: Muhr is probably making twenty million a year, twenty five 465 00:25:48,920 --> 00:25:50,040 Speaker 1: million a year, something like that. 466 00:25:50,119 --> 00:25:50,480 Speaker 2: I don't know. 467 00:25:50,480 --> 00:25:52,280 Speaker 4: What the I don't even know the other lady's name, 468 00:25:52,280 --> 00:25:54,399 Speaker 4: but ill Lindsay Davis. I have no idea what she 469 00:25:54,440 --> 00:25:57,040 Speaker 4: makes and they're never getting fired. They have lifetime tenure 470 00:25:57,080 --> 00:25:57,880 Speaker 4: at ABC News. 471 00:25:57,920 --> 00:25:58,080 Speaker 6: Now. 472 00:25:58,280 --> 00:26:03,080 Speaker 1: Yeah, so this is always remember this for Democrats. They 473 00:26:03,080 --> 00:26:05,359 Speaker 1: take care of their team. They take care of their side, 474 00:26:05,400 --> 00:26:07,600 Speaker 1: and that is why they get the outcomes that they do. 475 00:26:08,240 --> 00:26:11,440 Speaker 1: So and on our side, sometimes people do the good deed, 476 00:26:11,640 --> 00:26:15,560 Speaker 1: they show bravery and courage and character, and everyone's like, well, 477 00:26:15,560 --> 00:26:17,320 Speaker 1: I don't know, I guess their career is ruined. Like 478 00:26:17,359 --> 00:26:19,679 Speaker 1: maybe they'll open up, you know, a pawn shop somewhere 479 00:26:19,760 --> 00:26:22,080 Speaker 1: so they'll figure it out. You know, we don't take 480 00:26:22,119 --> 00:26:23,760 Speaker 1: care of our team the same way. It's one of 481 00:26:23,760 --> 00:26:25,479 Speaker 1: our I know, it sounds like a little thing. It's 482 00:26:25,520 --> 00:26:28,320 Speaker 1: actually one of the biggest failings we have because in 483 00:26:28,359 --> 00:26:31,119 Speaker 1: this in this environment where Democrats run the politics of 484 00:26:31,160 --> 00:26:34,080 Speaker 1: personal destruction using the Internet and everything else in a 485 00:26:34,119 --> 00:26:36,360 Speaker 1: way that you know, is way beyond what they could 486 00:26:36,359 --> 00:26:38,680 Speaker 1: do in the past, being able to ruin someone's career, 487 00:26:38,680 --> 00:26:41,440 Speaker 1: in their livelihood because they're a political threat to you 488 00:26:41,600 --> 00:26:42,280 Speaker 1: very powerful. 489 00:26:42,920 --> 00:26:44,760 Speaker 4: Oh look at what they did to Trump. I mean 490 00:26:44,760 --> 00:26:49,600 Speaker 4: when Democrat presidents move out of office, they get lifetime sinecures. Heck, 491 00:26:49,720 --> 00:26:52,720 Speaker 4: even Joe Biden was making millions of dollars and he 492 00:26:52,800 --> 00:26:57,399 Speaker 4: was only a VP. Trump is president, leaves office. They 493 00:26:57,440 --> 00:27:00,520 Speaker 4: won't even play pro golf tournaments at his horses. The 494 00:27:00,560 --> 00:27:04,560 Speaker 4: PGA Tour pulls pulls out on the PGA Championship and 495 00:27:04,600 --> 00:27:06,120 Speaker 4: they try to put him in prison for the rest 496 00:27:06,119 --> 00:27:08,320 Speaker 4: of his life. I mean, it's not even just you 497 00:27:08,359 --> 00:27:11,040 Speaker 4: don't get a golden parachute. It's that they try to 498 00:27:11,040 --> 00:27:14,879 Speaker 4: put you in a jail cell. It is true. And 499 00:27:14,880 --> 00:27:18,000 Speaker 4: and these guys, I mean, that's why it's so disgusting 500 00:27:18,040 --> 00:27:21,160 Speaker 4: to me. David Muir and Lindsay Davis, they now are 501 00:27:21,200 --> 00:27:23,040 Speaker 4: taken care of it. And we didn't even hardly talked 502 00:27:23,040 --> 00:27:27,240 Speaker 4: about this, But the president of ABC News is a 503 00:27:27,280 --> 00:27:31,640 Speaker 4: thirty year friend of Kamala Harris, yep, thirty years. 504 00:27:31,760 --> 00:27:32,679 Speaker 2: They have been best. 505 00:27:32,560 --> 00:27:36,440 Speaker 1: To introduced Kamala to the first husband guy or whatever. 506 00:27:36,480 --> 00:27:38,560 Speaker 4: The second d a girl I think her name is 507 00:27:38,600 --> 00:27:41,520 Speaker 4: Dana Walden. You guys in the studio Kip, Sorry, didn't 508 00:27:41,520 --> 00:27:43,880 Speaker 4: she introduced to the Kamala? 509 00:27:45,280 --> 00:27:48,800 Speaker 2: Yeah? Yeah, I think that's right. And their they're bosom buddies. 510 00:27:49,280 --> 00:27:52,679 Speaker 4: From La who hang out together all the time, have 511 00:27:52,760 --> 00:27:56,840 Speaker 4: been friends for thirty years, and she runs the network 512 00:27:56,880 --> 00:28:00,200 Speaker 4: that gets the debate and you don't think that Dayvid 513 00:28:00,320 --> 00:28:03,520 Speaker 4: Muir and Lindsey Davis know that their boss is best 514 00:28:03,520 --> 00:28:05,560 Speaker 4: friends with one of the two people that they're doing 515 00:28:05,600 --> 00:28:09,280 Speaker 4: the debate of. I mean again, the rig job was 516 00:28:09,320 --> 00:28:12,960 Speaker 4: in effect, and I get the if you've listened to 517 00:28:12,960 --> 00:28:14,320 Speaker 4: the show, you go back and listen to the podcast. 518 00:28:14,320 --> 00:28:16,679 Speaker 4: I encourage you go listen to it. Trump was not 519 00:28:16,800 --> 00:28:20,040 Speaker 4: his best version, and that, to me is the frustrating part, 520 00:28:20,080 --> 00:28:22,359 Speaker 4: because I think there were It's like when you watch 521 00:28:22,440 --> 00:28:24,679 Speaker 4: go back and watch film of a game and you're like, 522 00:28:25,000 --> 00:28:26,600 Speaker 4: it's one thing. If he had been going up against 523 00:28:26,640 --> 00:28:28,400 Speaker 4: the greatest debater of all time, you'd be like, man, 524 00:28:28,440 --> 00:28:31,320 Speaker 4: that person's really good. There were lots of layups to 525 00:28:31,400 --> 00:28:34,360 Speaker 4: be made, there were lots of easy points to be scored, 526 00:28:34,680 --> 00:28:37,120 Speaker 4: and I think Trump missed on it. But the rig 527 00:28:37,200 --> 00:28:41,920 Speaker 4: job that he walked into is unprecedented in its nature. 528 00:28:42,000 --> 00:28:43,680 Speaker 2: I truly never think we've seen anything like this. 529 00:28:44,240 --> 00:28:46,680 Speaker 1: I think, in all things self honesty is very important, 530 00:28:46,760 --> 00:28:50,480 Speaker 1: and when you're assessing whether it's a debate performance or 531 00:28:50,520 --> 00:28:54,320 Speaker 1: a politician in general or a whole political platform. If 532 00:28:54,360 --> 00:28:56,520 Speaker 1: you have never once at this point, I mean, Trump 533 00:28:56,600 --> 00:29:00,360 Speaker 1: has been on the scene now for eight years, right 534 00:29:00,920 --> 00:29:02,840 Speaker 1: as the rest one on nine, since he came down 535 00:29:02,840 --> 00:29:05,800 Speaker 1: the staircase to run in twenty sixteen. If you've never 536 00:29:05,840 --> 00:29:09,000 Speaker 1: once found yourself saying I disagree with or I have 537 00:29:09,080 --> 00:29:11,680 Speaker 1: a problem with what Trump said. 538 00:29:12,280 --> 00:29:14,800 Speaker 2: You need to get out a little more. You need 539 00:29:14,840 --> 00:29:15,080 Speaker 2: to think. 540 00:29:15,120 --> 00:29:17,720 Speaker 1: You know, it's you can't always agree. I don't always 541 00:29:17,760 --> 00:29:19,520 Speaker 1: agree with my family members, you know what I mean. 542 00:29:19,520 --> 00:29:22,280 Speaker 1: I don't always agree with don't tell anyone, Clay, I 543 00:29:22,320 --> 00:29:25,280 Speaker 1: don't always agree with my wife. You know, you don't 544 00:29:25,360 --> 00:29:28,479 Speaker 1: always agree with anyone, and you don't always think what 545 00:29:28,520 --> 00:29:31,280 Speaker 1: they do is perfect all the time. And if you 546 00:29:31,360 --> 00:29:35,760 Speaker 1: find yourself in that situation, you're losing objectivity such that 547 00:29:35,800 --> 00:29:39,840 Speaker 1: it does you and that person a disservice. So people 548 00:29:39,920 --> 00:29:42,000 Speaker 1: can say that they thought Trump agreed, that's not That's fine. 549 00:29:42,000 --> 00:29:45,040 Speaker 1: But I'm just saying, if you've only ever thought to yourself, 550 00:29:45,080 --> 00:29:48,640 Speaker 1: I hate when when Trump is criticized, I've never criticized him, 551 00:29:48,760 --> 00:29:52,080 Speaker 1: or I've never agreed with the criticism of him. That's 552 00:29:52,200 --> 00:29:54,320 Speaker 1: that's not where that's not where we want to be. 553 00:29:54,360 --> 00:29:56,200 Speaker 1: In terms of the honesty meter, I. 554 00:29:56,200 --> 00:29:58,800 Speaker 4: Would agree you should never one hundred percent agree with anybody, 555 00:29:59,360 --> 00:30:01,600 Speaker 4: not even your sl You should be willing to challenge 556 00:30:01,600 --> 00:30:05,560 Speaker 4: your own thoughts. I also think this is important. If 557 00:30:05,600 --> 00:30:11,640 Speaker 4: you find yourself listening to media people who only say 558 00:30:11,720 --> 00:30:15,479 Speaker 4: that somebody is amazing or awesome or the best version 559 00:30:15,640 --> 00:30:19,480 Speaker 4: of themselves, you are, I think, falling victim to the 560 00:30:19,520 --> 00:30:23,320 Speaker 4: same lies that Karine Jean Pierre was saying at the podium, 561 00:30:23,360 --> 00:30:25,960 Speaker 4: and frankly that Kamala argued for years about Biden. It 562 00:30:26,000 --> 00:30:28,080 Speaker 4: was self evident for anybody with a brain that Biden 563 00:30:28,240 --> 00:30:29,480 Speaker 4: wasn't able to do the job. 564 00:30:29,560 --> 00:30:32,800 Speaker 1: Now, you often bring the sort of the sports commentary 565 00:30:32,880 --> 00:30:36,600 Speaker 1: flavor into things. I don't think anybody would trust a 566 00:30:36,640 --> 00:30:39,160 Speaker 1: coach who had been serving for a decade of a 567 00:30:39,200 --> 00:30:43,160 Speaker 1: professional team who after every single game win or lose, 568 00:30:43,360 --> 00:30:45,360 Speaker 1: was like we were awesome. I wouldn't change a thing. 569 00:30:46,360 --> 00:30:48,960 Speaker 1: That's not why and why is that bad? It's bad 570 00:30:48,960 --> 00:30:51,200 Speaker 1: because it's not honest. It's not honest, it's not helpful, 571 00:30:51,280 --> 00:30:53,000 Speaker 1: it's not helpful, it's not going to help you win. 572 00:30:53,760 --> 00:30:56,320 Speaker 1: So again, I still think Trump is ahead. I still 573 00:30:56,320 --> 00:30:58,320 Speaker 1: think Trump is going to win but as part of 574 00:30:58,360 --> 00:31:02,719 Speaker 1: the process of having that conversation. Again, it's not just 575 00:31:02,720 --> 00:31:04,360 Speaker 1: like you and me are sitting on a stoop somewhere 576 00:31:04,440 --> 00:31:07,400 Speaker 1: saying it. You, me and a few million friends, including 577 00:31:07,440 --> 00:31:10,200 Speaker 1: people who work for Trump. I think that that having 578 00:31:10,280 --> 00:31:14,480 Speaker 1: some degree of reflection on what could have gone a 579 00:31:14,480 --> 00:31:18,080 Speaker 1: little better last night is actually a service to the 580 00:31:18,120 --> 00:31:19,040 Speaker 1: Trump campaign. 581 00:31:19,160 --> 00:31:20,600 Speaker 2: That's how I view it. 582 00:31:20,640 --> 00:31:20,720 Speaker 5: Now. 583 00:31:20,800 --> 00:31:22,520 Speaker 2: People can disagree with that, that's fine. 584 00:31:22,920 --> 00:31:27,840 Speaker 4: I also think this is important too. You can't surround 585 00:31:28,000 --> 00:31:31,720 Speaker 4: yourself in any facet of life with people who only 586 00:31:31,800 --> 00:31:35,000 Speaker 4: say you're awesome. And you know this, buck, This happens 587 00:31:35,000 --> 00:31:36,120 Speaker 4: in media all the time. 588 00:31:36,360 --> 00:31:36,880 Speaker 2: All the time. 589 00:31:36,920 --> 00:31:41,000 Speaker 4: People cloister themselves. They surround themselves by people who say, 590 00:31:41,560 --> 00:31:45,720 Speaker 4: you're amazing, you did everything perfectly. It happens probably in 591 00:31:45,800 --> 00:31:48,280 Speaker 4: many of your businesses where the boss has a lot 592 00:31:48,280 --> 00:31:51,360 Speaker 4: of yes men or women who just walk around and 593 00:31:51,400 --> 00:31:54,000 Speaker 4: it doesn't matter what the data says, it doesn't matter 594 00:31:54,040 --> 00:31:57,360 Speaker 4: what the performance was, and that works, and that works, 595 00:31:57,440 --> 00:32:00,600 Speaker 4: and then it's the Emperor with no clothes send At 596 00:32:00,600 --> 00:32:04,800 Speaker 4: some point it blows up. And I think this is 597 00:32:04,840 --> 00:32:10,080 Speaker 4: where Trump needs to have people with him who say, hey, 598 00:32:10,800 --> 00:32:12,120 Speaker 4: you could have been better than you were. 599 00:32:12,200 --> 00:32:13,560 Speaker 2: Last night, and. 600 00:32:13,480 --> 00:32:15,800 Speaker 4: In order to win the election, you're gonna have to 601 00:32:15,800 --> 00:32:19,160 Speaker 4: be better than this going forward. Now, everybody is not 602 00:32:19,200 --> 00:32:20,760 Speaker 4: their best. Look Buck, You and I talked for three 603 00:32:20,760 --> 00:32:24,160 Speaker 4: hours every day. Sometimes we finish the show and it 604 00:32:24,200 --> 00:32:26,320 Speaker 4: wasn't the best show we ever did. I wish every 605 00:32:26,360 --> 00:32:29,280 Speaker 4: day was perfect. We screw things up. The audio doesn't 606 00:32:29,280 --> 00:32:32,160 Speaker 4: get played, we read the wrong read the wrong ad, 607 00:32:32,440 --> 00:32:35,640 Speaker 4: we get a fact wrong, or we missstate. Certainly I 608 00:32:35,640 --> 00:32:38,040 Speaker 4: get grammar wrong all the time. I sound like Tim 609 00:32:38,080 --> 00:32:42,120 Speaker 4: Walls here. We're imperfect. But the goal is to get 610 00:32:42,160 --> 00:32:45,320 Speaker 4: better and better. And I don't think that Trump improved 611 00:32:45,360 --> 00:32:48,720 Speaker 4: from June. You know, we all need energy to thrive 612 00:32:48,960 --> 00:32:50,560 Speaker 4: during the day. It's one thing to get a good 613 00:32:50,640 --> 00:32:52,760 Speaker 4: night's rest and eat the right foods, but the right 614 00:32:52,800 --> 00:32:56,080 Speaker 4: supplements can be a game changer, which is why you 615 00:32:56,080 --> 00:33:00,360 Speaker 4: should consider a subscription to Chalk. Chalk's Male Vitalities is 616 00:33:00,400 --> 00:33:03,280 Speaker 4: formulated with ingredients to give your body the boost without 617 00:33:03,280 --> 00:33:06,440 Speaker 4: the crash leading ingredient, and Chalk's Male Vitality Stack has 618 00:33:06,440 --> 00:33:09,600 Speaker 4: been proven in studies to replenish twenty percent of diminished 619 00:33:09,600 --> 00:33:11,560 Speaker 4: testosterone in men within three months. 620 00:33:12,360 --> 00:33:15,040 Speaker 1: Want to be a guy who doesn't think that Kamla 621 00:33:15,080 --> 00:33:16,719 Speaker 1: did a great job in the debate last night. Make 622 00:33:16,720 --> 00:33:19,120 Speaker 1: sure your testosterone level is high enough. Make sure you 623 00:33:19,160 --> 00:33:22,040 Speaker 1: try some Chalk Chalk's female Vitality stack. By the way, 624 00:33:22,040 --> 00:33:24,880 Speaker 1: if the ladies out there provides a healthier hormone balance 625 00:33:25,080 --> 00:33:28,040 Speaker 1: which impacts energy as well, go online to their website 626 00:33:28,400 --> 00:33:31,720 Speaker 1: choq dot com. That's chalk dot com. Use my name 627 00:33:31,800 --> 00:33:36,240 Speaker 1: Buck for a massive discount on any subscription for life. 628 00:33:36,320 --> 00:33:37,960 Speaker 1: You can cancel at any time, of course, but not 629 00:33:38,000 --> 00:33:40,880 Speaker 1: gonna want to. You can also call or text. The 630 00:33:40,960 --> 00:33:45,240 Speaker 1: number is fifty Chalk three thousand. Say Clay and Buck 631 00:33:45,320 --> 00:33:49,320 Speaker 1: sent me. That's fifty chalk three thousand. 632 00:33:50,280 --> 00:33:53,400 Speaker 3: Clay, Travis and Buck Sexton telling it like it is. 633 00:33:53,680 --> 00:33:56,960 Speaker 4: Find them on the free iHeartRadio app or wherever you 634 00:33:57,120 --> 00:34:00,480 Speaker 4: get your podcasts. Closing up shop Wednesday at Ish Clay 635 00:34:00,520 --> 00:34:04,320 Speaker 4: and Buck. A little bit of breaking news, Buck, Springfield, Ohio. 636 00:34:04,880 --> 00:34:09,600 Speaker 4: Ohio Governor Mike DeWine is employing state troop deploying state 637 00:34:09,680 --> 00:34:13,040 Speaker 4: troopers and sending two and a half million dollars into 638 00:34:13,040 --> 00:34:16,600 Speaker 4: Springfield to deal with a surge of Haitian migrants. 639 00:34:17,120 --> 00:34:17,400 Speaker 2: Quote. 640 00:34:17,480 --> 00:34:20,719 Speaker 4: The federal government has not demonstrated they have any kind 641 00:34:20,719 --> 00:34:23,719 Speaker 4: of plan to deal with the issue that is going 642 00:34:23,760 --> 00:34:27,160 Speaker 4: on right now in Springfield, Ohio. Of course, David Muir 643 00:34:27,280 --> 00:34:30,080 Speaker 4: told you all that there's no issue at all in 644 00:34:30,520 --> 00:34:34,120 Speaker 4: UH in Springfield, Ohio. Unfortunately, there are a lot of 645 00:34:34,120 --> 00:34:35,600 Speaker 4: issues there. Let's see if we get a couple of 646 00:34:35,640 --> 00:34:39,320 Speaker 4: calls in UH to to close up the shop today. 647 00:34:39,560 --> 00:34:44,640 Speaker 4: Encourage you to go subscribe to the podcast Gary in Naples, Florida, 648 00:34:44,800 --> 00:34:47,320 Speaker 4: Great place which got forced Gary. 649 00:34:47,760 --> 00:34:50,560 Speaker 6: Hey, good afternoon, gentlemen. First, let me apologize to your 650 00:34:50,600 --> 00:34:52,319 Speaker 6: call screener. I know he's got a six skin, but 651 00:34:52,320 --> 00:34:53,240 Speaker 6: I got a little jesty. 652 00:34:55,080 --> 00:34:59,080 Speaker 1: I'm thinking the reason, producer Greg is like the terminator 653 00:34:59,120 --> 00:34:59,960 Speaker 1: of call screeners. 654 00:35:00,040 --> 00:35:02,160 Speaker 4: Did you say to the call What did you say 655 00:35:02,200 --> 00:35:05,000 Speaker 4: to the call screener that you feel compelled to apologize 656 00:35:05,000 --> 00:35:06,000 Speaker 4: to start off your call? 657 00:35:07,040 --> 00:35:09,000 Speaker 6: Well, we had a longer debate than I think I'm 658 00:35:09,000 --> 00:35:10,120 Speaker 6: going to have on your show. 659 00:35:10,800 --> 00:35:11,520 Speaker 2: Anyway. 660 00:35:12,480 --> 00:35:15,279 Speaker 6: I was trying to be clear, and apparently I wasn't clear, 661 00:35:15,400 --> 00:35:18,040 Speaker 6: and I got a little testy and loud and obnoxiously. 662 00:35:18,800 --> 00:35:22,480 Speaker 2: Well be clear now, because there's millions listening. Go ahead, right. 663 00:35:22,719 --> 00:35:25,759 Speaker 6: So, I think after eight and a half years of 664 00:35:25,920 --> 00:35:29,960 Speaker 6: the treatment that Trump has been receiving. I think with 665 00:35:30,120 --> 00:35:32,799 Speaker 6: the level of disrespect Famala was showing him as well 666 00:35:32,840 --> 00:35:36,040 Speaker 6: as the ABC moderators that I think he finally blew 667 00:35:36,120 --> 00:35:39,200 Speaker 6: his top. And there was a segment in there where 668 00:35:39,239 --> 00:35:42,759 Speaker 6: he was talking. It wasn't the crowd size, it wasn't 669 00:35:42,960 --> 00:35:46,400 Speaker 6: any of that superfluous stuff. It's when she referred to 670 00:35:46,560 --> 00:35:51,680 Speaker 6: him as a disgrace, that former military members called him supposedly, 671 00:35:52,320 --> 00:35:56,040 Speaker 6: that some of his staff members called him supposedly, which 672 00:35:56,080 --> 00:35:57,880 Speaker 6: is why they were fired. And it wasn't because they 673 00:35:57,960 --> 00:36:02,280 Speaker 6: called him a disgrace. Then she brought up the Central 674 00:36:02,360 --> 00:36:05,360 Speaker 6: Park five, which is a long time ago, and the 675 00:36:05,400 --> 00:36:08,560 Speaker 6: guys were found guilty. They were recently released. You know 676 00:36:09,960 --> 00:36:13,319 Speaker 6: he's going to be using lawfair. I beg your pardon. 677 00:36:13,560 --> 00:36:15,279 Speaker 6: What's happened the last four year? 678 00:36:15,800 --> 00:36:15,960 Speaker 5: Right? 679 00:36:16,000 --> 00:36:17,520 Speaker 1: Well, thank you, thank you for calling in, and thank 680 00:36:17,520 --> 00:36:19,400 Speaker 1: you for calling in from Naples, which gives me an 681 00:36:19,440 --> 00:36:21,560 Speaker 1: opportunity to say, Clay, because we've talked about some of 682 00:36:21,600 --> 00:36:26,480 Speaker 1: the ratings numbers radio stations South Florida, we are suddenly 683 00:36:27,239 --> 00:36:29,720 Speaker 1: suddenly blowing it out in South Florida. 684 00:36:30,080 --> 00:36:33,920 Speaker 4: You moved to Miami and suddenly our ratings have tripled 685 00:36:34,000 --> 00:36:36,480 Speaker 4: in the city of Miami over the last year as well, 686 00:36:36,520 --> 00:36:39,080 Speaker 4: as numbers have always been big and Fort Myers and Naples, 687 00:36:39,160 --> 00:36:40,960 Speaker 4: so I guess that's the Buck Sexton effect. 688 00:36:41,040 --> 00:36:41,840 Speaker 2: Miami loves you. 689 00:36:42,440 --> 00:36:45,480 Speaker 1: We have so many freedom lovers here in the Miami 690 00:36:45,640 --> 00:36:49,160 Speaker 1: Dade County and area. It's fantastic. So we'll talk to 691 00:36:49,160 --> 00:36:50,320 Speaker 1: you more. A Moore, everybody, thank you.