1 00:00:00,240 --> 00:00:03,080 Speaker 1: I don't know if you guys watched the vice presidential debate, 2 00:00:03,120 --> 00:00:06,400 Speaker 1: but jd Vance was on fire. He was articulate. He 3 00:00:07,160 --> 00:00:10,920 Speaker 1: drove home what the Trump Dvance ticket would do, what 4 00:00:10,960 --> 00:00:13,560 Speaker 1: a Trump Vance administration would look like. He talked about 5 00:00:13,560 --> 00:00:16,320 Speaker 1: how the fact that Donald Trump governed from a common 6 00:00:16,360 --> 00:00:19,720 Speaker 1: sense standpoint. He was quick on his feet, he was likable, 7 00:00:19,760 --> 00:00:21,880 Speaker 1: he was approachable. I mean, the guy just crushed it. 8 00:00:22,000 --> 00:00:25,439 Speaker 1: But well, the debate matter. Do vice presidential debates matter? 9 00:00:25,520 --> 00:00:27,920 Speaker 1: They haven't as much in the past, But we're in 10 00:00:27,960 --> 00:00:31,000 Speaker 1: a new era, a new environment will change the election. 11 00:00:31,520 --> 00:00:34,760 Speaker 1: We've seen in polling that today this election has pretty 12 00:00:34,800 --> 00:00:37,640 Speaker 1: much been a coin flip. Can we believe the polls? 13 00:00:38,000 --> 00:00:40,519 Speaker 1: How much of what we are seeing is real? How 14 00:00:40,600 --> 00:00:42,920 Speaker 1: much of polling is real? We're going to talk to 15 00:00:42,920 --> 00:00:45,080 Speaker 1: someone who's been in the political game for a very 16 00:00:45,080 --> 00:00:47,920 Speaker 1: long time. He is one of the founding directors a 17 00:00:47,960 --> 00:00:51,880 Speaker 1: co founder of On Message, which is a political strategy 18 00:00:52,000 --> 00:00:55,120 Speaker 1: firm with some of the top political strategists in the country. 19 00:00:55,200 --> 00:00:58,560 Speaker 1: They lead campaigns at basically every level in every state. 20 00:00:58,640 --> 00:01:01,360 Speaker 1: They've steered political committee arms of the US Senate, US 21 00:01:01,480 --> 00:01:04,880 Speaker 1: representatives and worked with people on both the federal and 22 00:01:04,959 --> 00:01:07,360 Speaker 1: state candidates on the federal and state level, so you know, 23 00:01:07,440 --> 00:01:09,400 Speaker 1: big time group. So we're going to talk to one 24 00:01:09,400 --> 00:01:11,480 Speaker 1: of the co founders, Brad Todd, who has been in 25 00:01:11,480 --> 00:01:13,479 Speaker 1: the game for a long time, who sees polling by 26 00:01:13,520 --> 00:01:15,240 Speaker 1: the way on a daily basis with some of the 27 00:01:15,280 --> 00:01:18,720 Speaker 1: campaigns and candidates that he's working with this election cycle. 28 00:01:18,760 --> 00:01:20,399 Speaker 1: So we're going to talk to him about what's really 29 00:01:20,400 --> 00:01:23,800 Speaker 1: going on, what's happening on the ground, the inside scoop, 30 00:01:24,440 --> 00:01:27,280 Speaker 1: about what you need to know, how much is campaigning 31 00:01:27,480 --> 00:01:31,000 Speaker 1: changed over the years as well, So we'll get into 32 00:01:31,080 --> 00:01:33,880 Speaker 1: the discussion of current political environment where he thinks this 33 00:01:34,040 --> 00:01:37,160 Speaker 1: campaign cycle is going both for presidential as well as 34 00:01:37,200 --> 00:01:39,520 Speaker 1: House and Senate, and also just a little bit more 35 00:01:39,520 --> 00:01:42,400 Speaker 1: of a deep dive on how campaigns have changed over 36 00:01:42,440 --> 00:01:44,560 Speaker 1: the years. I think it's a really interesting conversation with 37 00:01:44,560 --> 00:01:46,479 Speaker 1: a guy who knows a lot. He's also the co 38 00:01:46,560 --> 00:01:50,760 Speaker 1: author of The Great Revolt Inside the Populist Coalition Reshaping 39 00:01:50,840 --> 00:01:56,640 Speaker 1: American Politics, So interesting conversation with these interesting times. Stay tuned. 40 00:02:01,000 --> 00:02:01,800 Speaker 2: Well, Brad Todd. 41 00:02:01,880 --> 00:02:03,680 Speaker 1: I've known you for a while, but this is the 42 00:02:03,720 --> 00:02:06,600 Speaker 1: first time having you on the show. Appreciate you making 43 00:02:06,640 --> 00:02:09,080 Speaker 1: the time and looking forward to hearing your insight and 44 00:02:09,120 --> 00:02:11,359 Speaker 1: this this crazy election cycle that we're having. 45 00:02:12,040 --> 00:02:14,200 Speaker 2: Oh glad to be here, Lisa, Thanks for having me. 46 00:02:14,919 --> 00:02:18,120 Speaker 1: Well, I guess has this been the craziest election cycle 47 00:02:18,240 --> 00:02:19,920 Speaker 1: you've experienced in your career? 48 00:02:19,960 --> 00:02:22,600 Speaker 2: You know, if you could take any one of the 49 00:02:22,680 --> 00:02:24,680 Speaker 2: major events in this and it would still be the 50 00:02:24,720 --> 00:02:27,360 Speaker 2: craziest election cycle we've ever done. You know, I've been 51 00:02:27,400 --> 00:02:29,440 Speaker 2: doing this twenty five years and I can't think of 52 00:02:30,040 --> 00:02:32,959 Speaker 2: any three elections that came close to this if you 53 00:02:33,000 --> 00:02:37,919 Speaker 2: had them all together. An assassination attempt or two conviction 54 00:02:38,120 --> 00:02:41,200 Speaker 2: of one of the hand that's running dropping out of 55 00:02:41,200 --> 00:02:44,040 Speaker 2: an incumbent president mid cycle, it's just nuts. 56 00:02:45,120 --> 00:02:47,880 Speaker 1: Has that made your job and trying to you know, 57 00:02:47,960 --> 00:02:51,600 Speaker 1: advise candidates and sort of like navigate this how much 58 00:02:51,639 --> 00:02:55,240 Speaker 1: more difficult as that kind of major job. Well, as 59 00:02:55,240 --> 00:02:56,600 Speaker 1: you've gone through the cycle. 60 00:02:57,040 --> 00:02:59,919 Speaker 2: You know it is a little bit more difficult because 61 00:03:00,240 --> 00:03:04,760 Speaker 2: these major events cause sea changes in what the conversation 62 00:03:04,919 --> 00:03:08,440 Speaker 2: is around all elections for a few weeks. You know, 63 00:03:08,480 --> 00:03:11,639 Speaker 2: it's crazy. If you told me we would have an assassination attempt, 64 00:03:11,720 --> 00:03:14,320 Speaker 2: I would say that's going to be the entire conversation 65 00:03:14,440 --> 00:03:16,920 Speaker 2: the rest of the race. But in fact, that's not 66 00:03:17,080 --> 00:03:19,440 Speaker 2: what has happened in this election. And some of that's 67 00:03:19,480 --> 00:03:23,959 Speaker 2: because the country's so polarized. You know, there are two 68 00:03:24,400 --> 00:03:29,160 Speaker 2: very hard partisan bases, and most people in those bases 69 00:03:29,200 --> 00:03:35,080 Speaker 2: are not kenids to switch sides. So that polarization causes 70 00:03:35,120 --> 00:03:38,520 Speaker 2: these waves to settle out quickly. But this cycle, we've 71 00:03:38,520 --> 00:03:39,880 Speaker 2: had a lot of new waves pop up. 72 00:03:40,960 --> 00:03:43,400 Speaker 1: It gets to that point and sort of this hurden 73 00:03:43,600 --> 00:03:46,360 Speaker 1: political environment that we are living in we're in with 74 00:03:46,600 --> 00:03:50,000 Speaker 1: the tribalism or however you want to couch it. How 75 00:03:50,000 --> 00:03:54,520 Speaker 1: do you persuade what's left of the persuadables in that environment? 76 00:03:55,360 --> 00:03:57,480 Speaker 1: How do you change the dynamics of a race and 77 00:03:57,720 --> 00:03:58,680 Speaker 1: that kind of environment. 78 00:03:59,120 --> 00:04:01,760 Speaker 2: Well, you know, we're having conversation. Uh, in all our 79 00:04:01,840 --> 00:04:05,480 Speaker 2: races now, you know, there are very few undecideds in 80 00:04:05,640 --> 00:04:08,480 Speaker 2: any races. They're both contested house races and center races 81 00:04:08,520 --> 00:04:11,640 Speaker 2: in addition to the presidential Uh for the most part, 82 00:04:11,840 --> 00:04:15,520 Speaker 2: undecided and in all these races look similar. They are 83 00:04:16,279 --> 00:04:19,279 Speaker 2: they lean a little bit to the right. Uh, they 84 00:04:19,320 --> 00:04:22,560 Speaker 2: tend to be non college educated. They skew a little 85 00:04:22,560 --> 00:04:25,800 Speaker 2: bit male, which is unusual. Usually the undecided to late 86 00:04:25,880 --> 00:04:29,039 Speaker 2: our skew female, but this year they skew male. Uh, 87 00:04:29,560 --> 00:04:33,680 Speaker 2: they are a little bit more favorable to former President 88 00:04:33,720 --> 00:04:37,479 Speaker 2: Trump than the electorate at large is they're pretty down 89 00:04:37,520 --> 00:04:44,039 Speaker 2: on President Biden. But they also all are not really 90 00:04:44,320 --> 00:04:47,840 Speaker 2: that engaged in politics. I mean, we're now fighting over 91 00:04:48,200 --> 00:04:51,480 Speaker 2: voters who are politics is not the top of mind 92 00:04:51,480 --> 00:04:54,560 Speaker 2: for them and it's not a priority. Uh they are 93 00:04:54,920 --> 00:04:56,680 Speaker 2: if they if it was a priority, they probably would 94 00:04:56,680 --> 00:04:59,240 Speaker 2: have been polarized into one of the two camps. So 95 00:04:59,279 --> 00:05:01,800 Speaker 2: it's also very hard to reach them through all means 96 00:05:01,839 --> 00:05:03,200 Speaker 2: grandt rates or advertising. 97 00:05:03,600 --> 00:05:05,120 Speaker 1: Yeah, I was going to say, how do you know, 98 00:05:05,120 --> 00:05:08,600 Speaker 1: how do you mobilize a voter like that? To Also, 99 00:05:08,680 --> 00:05:12,120 Speaker 1: it's kind of like it's hard to imagine with everything 100 00:05:12,320 --> 00:05:15,000 Speaker 1: you know going on with you know, like potential World war, 101 00:05:16,440 --> 00:05:18,440 Speaker 1: you know, with this ethnic you know, it's. 102 00:05:18,279 --> 00:05:20,360 Speaker 2: Like just with the diary hard to get through. 103 00:05:20,760 --> 00:05:22,560 Speaker 1: It's kind of like but it's kind of like, I 104 00:05:22,600 --> 00:05:27,599 Speaker 1: don't know, if they're not mobilized by all of this, Like, 105 00:05:27,680 --> 00:05:30,599 Speaker 1: how do you get someone like that mobilized? 106 00:05:31,480 --> 00:05:33,719 Speaker 2: Well, you know, I think one thing you have to 107 00:05:33,720 --> 00:05:36,680 Speaker 2: do is start where they are, uh, and you have 108 00:05:36,760 --> 00:05:39,120 Speaker 2: to start with the fact that they're conflicted, and they 109 00:05:39,120 --> 00:05:41,919 Speaker 2: see faults on both sides. And I think that's a 110 00:05:42,000 --> 00:05:45,400 Speaker 2: real challenge for the Trump campaign and Donald Trump himself 111 00:05:45,440 --> 00:05:48,560 Speaker 2: and for Kamala Harris is to spend these last few 112 00:05:48,600 --> 00:05:52,000 Speaker 2: weeks acknowledging you know, look, you may not always agree 113 00:05:52,000 --> 00:05:54,240 Speaker 2: with me, or you may not all always like how 114 00:05:54,240 --> 00:05:57,400 Speaker 2: I describe things, or I may not have been perfect. 115 00:05:57,720 --> 00:06:02,120 Speaker 2: That's very, very hard for success politicians to do. Uh, 116 00:06:02,120 --> 00:06:04,400 Speaker 2: But I think you're you have a much better chance 117 00:06:04,440 --> 00:06:07,520 Speaker 2: of opening the conversation with these last few undecided if 118 00:06:07,560 --> 00:06:10,600 Speaker 2: you just start where they are, which is, hey, everybody 119 00:06:10,640 --> 00:06:13,800 Speaker 2: up here is pretty flawed. Your choices are all imperfect, 120 00:06:13,960 --> 00:06:16,800 Speaker 2: because that's what they think about all politics, but they 121 00:06:16,880 --> 00:06:19,919 Speaker 2: so especially they think about about this field. So I 122 00:06:19,960 --> 00:06:21,239 Speaker 2: guess the way. 123 00:06:21,080 --> 00:06:24,719 Speaker 1: I feel where we are now heading into November is 124 00:06:24,800 --> 00:06:28,279 Speaker 1: I think I would rather be team Trump than Team Harris. 125 00:06:29,080 --> 00:06:31,480 Speaker 1: The reason being is that you know, Trump's numbers are 126 00:06:31,480 --> 00:06:34,280 Speaker 1: already kind of locked in, right, Like everyone knows he's 127 00:06:34,320 --> 00:06:39,280 Speaker 1: the most like prosecuted, persecuted, written about, condemned, you know 128 00:06:39,400 --> 00:06:43,200 Speaker 1: person probably in America, So you know his number, like 129 00:06:43,240 --> 00:06:45,040 Speaker 1: everyone knows who he is. Like, there's not a lot 130 00:06:45,040 --> 00:06:48,240 Speaker 1: of room to you know, it's turned her to you know, 131 00:06:48,279 --> 00:06:50,560 Speaker 1: persuade I think for or against him in a sense 132 00:06:50,600 --> 00:06:53,800 Speaker 1: where she's a relatively unknown entity, particularly in this space 133 00:06:54,240 --> 00:06:57,200 Speaker 1: as a presidential candidate, so there's more room to inform 134 00:06:57,560 --> 00:07:01,160 Speaker 1: and to try try to drive her numbers down and 135 00:07:01,240 --> 00:07:05,400 Speaker 1: to try to sour voters on her. And then you know, 136 00:07:05,440 --> 00:07:07,359 Speaker 1: also if you look at polling in the past, this 137 00:07:07,480 --> 00:07:09,880 Speaker 1: is the best he's ever done heading into an election cycle, 138 00:07:09,920 --> 00:07:12,840 Speaker 1: even more than twenty sixteen or twenty twenty, when polls 139 00:07:12,880 --> 00:07:15,680 Speaker 1: tend to underestimate a support. So I feel like, if 140 00:07:15,680 --> 00:07:17,560 Speaker 1: you were to do a side by side comparison, I'd 141 00:07:17,600 --> 00:07:20,880 Speaker 1: probably rather be team Trump right now than team Harris. 142 00:07:21,880 --> 00:07:23,960 Speaker 1: I guess what do you make of that? And you know, 143 00:07:24,000 --> 00:07:24,960 Speaker 1: kind of what are your thoughts? 144 00:07:26,200 --> 00:07:30,480 Speaker 2: Well, in a very polarized, locked up election without many undecided, 145 00:07:30,720 --> 00:07:33,480 Speaker 2: then ake us have to say the person with the 146 00:07:33,520 --> 00:07:37,560 Speaker 2: hardest base of support probably has an advantage. I've thought 147 00:07:37,600 --> 00:07:40,200 Speaker 2: since they swapped out Harris for Biden that she had 148 00:07:40,480 --> 00:07:43,440 Speaker 2: a lot more upside with Biden, but she also had 149 00:07:43,440 --> 00:07:47,840 Speaker 2: a significant downside. And you know it was it presented 150 00:07:47,840 --> 00:07:50,680 Speaker 2: Democrats with an opportunity to start over in a race 151 00:07:50,760 --> 00:07:54,360 Speaker 2: that they were certainly going to lose, but it also 152 00:07:54,480 --> 00:07:56,960 Speaker 2: gave them a candidate with an old new set of flaws. 153 00:07:57,000 --> 00:07:57,120 Speaker 1: You know. 154 00:07:57,120 --> 00:07:59,400 Speaker 2: For instance, I'm working in the Senate race in Pennsylvania, 155 00:07:59,400 --> 00:08:01,440 Speaker 2: and so I see a lot data in Pennsylvania, and 156 00:08:02,000 --> 00:08:05,280 Speaker 2: there was a persistent group of voters in Pennsylvania who 157 00:08:06,120 --> 00:08:09,520 Speaker 2: had some illogical affinity for Joe Biden, if you will, right, 158 00:08:09,560 --> 00:08:12,240 Speaker 2: they were people who are right of center on many 159 00:08:12,320 --> 00:08:16,360 Speaker 2: mountters and cultural matters. For instance, maybe they are gun owners, 160 00:08:16,440 --> 00:08:19,480 Speaker 2: maybe they are working class and sort of don't agree 161 00:08:19,520 --> 00:08:21,560 Speaker 2: with where the Democrats are on a lot of crazy 162 00:08:21,600 --> 00:08:25,400 Speaker 2: social positions they take, you know, girls playing men playing 163 00:08:25,400 --> 00:08:29,400 Speaker 2: girl sports, for example. But those voters were just trench 164 00:08:29,480 --> 00:08:32,040 Speaker 2: of them that were of stubbornly loyal to Joe Biden. 165 00:08:32,120 --> 00:08:34,960 Speaker 2: Why is that, Well, it's because he's from scrant He's 166 00:08:35,160 --> 00:08:37,520 Speaker 2: was been a senator who is in the Philadelphia media 167 00:08:37,559 --> 00:08:41,120 Speaker 2: market forever, and a lot of those they were disproportionately older, 168 00:08:41,160 --> 00:08:44,240 Speaker 2: and they disproportionately sort of had this old nostalgia for 169 00:08:44,280 --> 00:08:46,679 Speaker 2: the Joe Biden they had once known before he could 170 00:08:46,679 --> 00:08:50,320 Speaker 2: basically outsourced his administration to Elizabeth Warren. And so for 171 00:08:50,440 --> 00:08:53,520 Speaker 2: those voters, you know, suddenly Kamblo Harris does not fit 172 00:08:53,640 --> 00:08:55,400 Speaker 2: with Joe Biden. So that's a good example of how 173 00:08:55,440 --> 00:08:58,520 Speaker 2: I think she had a lot more downside, you know, 174 00:08:58,880 --> 00:09:05,559 Speaker 2: as for who I'd rather be. Thirdly, the structure favors 175 00:09:05,600 --> 00:09:08,920 Speaker 2: former President Trump. All he has to do is win 176 00:09:09,000 --> 00:09:11,840 Speaker 2: North Carolina and Pennsylvania and he will be the president 177 00:09:11,840 --> 00:09:13,920 Speaker 2: of the United States. I'm confident he's gonna win Georgia, 178 00:09:14,000 --> 00:09:16,280 Speaker 2: even though it's close. So I really think for his 179 00:09:16,360 --> 00:09:18,320 Speaker 2: pack it just comes down to win those two states. 180 00:09:18,360 --> 00:09:20,560 Speaker 2: And if you look at it, Pennsylvania is the state 181 00:09:20,640 --> 00:09:23,000 Speaker 2: he's won before, and then last time in twenty twenty 182 00:09:23,000 --> 00:09:27,160 Speaker 2: he got forty eight percent with Democrats literally doing everything possible. 183 00:09:28,080 --> 00:09:33,200 Speaker 2: He he I think has an appeal to some crossover voters, 184 00:09:33,200 --> 00:09:37,040 Speaker 2: Democrats and independents in Pennsylvania. So these are this is 185 00:09:37,040 --> 00:09:39,160 Speaker 2: a very doable task for him. You look at North 186 00:09:39,160 --> 00:09:43,400 Speaker 2: Carolina and you know Republicans have won every Senate or 187 00:09:43,480 --> 00:09:47,480 Speaker 2: presidential election there except for two times in the Senate 188 00:09:47,600 --> 00:09:51,400 Speaker 2: one presidential year since the seventies. So he ought to 189 00:09:51,400 --> 00:09:55,000 Speaker 2: be able to win both those both those states if 190 00:09:55,040 --> 00:09:57,560 Speaker 2: the campaign works out the way he wants, and the 191 00:09:57,559 --> 00:10:00,079 Speaker 2: rest of October and that's that's so structurally, I think 192 00:10:00,120 --> 00:10:04,400 Speaker 2: I would rather be him. The argument for her is 193 00:10:04,480 --> 00:10:07,680 Speaker 2: she's had the momentum. She definitely, I think did have 194 00:10:07,720 --> 00:10:10,560 Speaker 2: a very good debate, We're being honest, and I think 195 00:10:10,600 --> 00:10:14,040 Speaker 2: she that momentum carried her for another couple of weeks. 196 00:10:14,679 --> 00:10:16,480 Speaker 2: She'd got a lot of the press corps on her side, 197 00:10:17,200 --> 00:10:20,719 Speaker 2: in the legacy media, and that certainly has enabled her 198 00:10:20,720 --> 00:10:23,280 Speaker 2: to hide from tough interviews. That's been a momentum helper. 199 00:10:24,600 --> 00:10:27,839 Speaker 2: So that's that's that's that's the argument for both of 200 00:10:27,840 --> 00:10:28,960 Speaker 2: them on who you'd rather be. 201 00:10:29,720 --> 00:10:32,240 Speaker 1: We've got more on the election cycle, but first, in 202 00:10:32,280 --> 00:10:35,760 Speaker 1: these uncertain times, raised in crime in America's neighborhoods and 203 00:10:35,840 --> 00:10:39,400 Speaker 1: endangered as the safety of loved ones. Nearly fifty years ago, 204 00:10:39,440 --> 00:10:42,240 Speaker 1: with just two and twenty eight dollars their entire savings, 205 00:10:42,520 --> 00:10:45,760 Speaker 1: Sabers founder set out to make the world safer. 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That's eight four four eight two four safe. 225 00:12:02,840 --> 00:12:05,480 Speaker 1: Although I had Robert Kaheleia on the show with Trafalgar 226 00:12:05,559 --> 00:12:07,319 Speaker 1: Group after the debate, and he made a point that 227 00:12:07,320 --> 00:12:10,160 Speaker 1: I thought was really interesting of that she might have 228 00:12:10,320 --> 00:12:13,520 Speaker 1: objectively won the debate in terms of you know, look, 229 00:12:13,559 --> 00:12:15,679 Speaker 1: she had a better debate performance. I think, even as 230 00:12:15,720 --> 00:12:19,280 Speaker 1: a Republican who supports Trump, I can admit that, but 231 00:12:19,320 --> 00:12:23,640 Speaker 1: that didn't necessarily resonate with likability or moving people in 232 00:12:23,679 --> 00:12:25,760 Speaker 1: her direction. And you know, he pointed to some of 233 00:12:25,760 --> 00:12:27,800 Speaker 1: the numbers that he was seeing and the polls after 234 00:12:27,840 --> 00:12:29,839 Speaker 1: the debate, and then also, you know, the New York 235 00:12:29,920 --> 00:12:33,120 Speaker 1: Times did that interview piece with a bunch of undecided voters, 236 00:12:33,160 --> 00:12:35,080 Speaker 1: and they were still on the fence, still had questions 237 00:12:35,080 --> 00:12:38,000 Speaker 1: about her, didn't feel like she differentiated herself enough from Biden, 238 00:12:38,559 --> 00:12:40,040 Speaker 1: and so you know, he kind of made the point 239 00:12:40,080 --> 00:12:43,720 Speaker 1: of like, you can still technically win a debate while 240 00:12:43,760 --> 00:12:47,840 Speaker 1: also not necessarily moving the needle from that debate on 241 00:12:47,920 --> 00:12:50,400 Speaker 1: terms of likability and moving people into your side, which 242 00:12:50,520 --> 00:12:54,360 Speaker 1: I thought was sort of an interesting, you know, point 243 00:12:54,400 --> 00:12:58,040 Speaker 1: of view to have. You do you think this debate 244 00:12:58,120 --> 00:13:00,880 Speaker 1: that we saw with you know, I think, you know, 245 00:13:01,000 --> 00:13:04,920 Speaker 1: Vance performed extremely well during last night's to beate. I 246 00:13:04,960 --> 00:13:07,600 Speaker 1: think he also came across as likable. It seemed like 247 00:13:07,640 --> 00:13:10,320 Speaker 1: he sort of had a softened approach, so perhaps he 248 00:13:10,360 --> 00:13:14,280 Speaker 1: was trying to reach reach independence and women from the performance. 249 00:13:14,320 --> 00:13:18,640 Speaker 1: Do you think last night's debate will have any impact? 250 00:13:18,679 --> 00:13:20,360 Speaker 1: You know, I know they don't tend to, but we've 251 00:13:20,360 --> 00:13:22,480 Speaker 1: not had as many debates this cycle, you know, kind 252 00:13:22,520 --> 00:13:24,360 Speaker 1: of like, what are your takeaways from it and does 253 00:13:24,400 --> 00:13:24,839 Speaker 1: it matter? 254 00:13:26,400 --> 00:13:30,079 Speaker 2: Well? I think there are two groups I think that 255 00:13:31,160 --> 00:13:33,880 Speaker 2: are pretty important for the Trump campaign as they've moved 256 00:13:33,880 --> 00:13:36,240 Speaker 2: down the last couple of weeks. One of them is 257 00:13:36,240 --> 00:13:38,040 Speaker 2: a group that I like to call manage their men, 258 00:13:39,120 --> 00:13:42,599 Speaker 2: although there certainly are some college educated Republican women that 259 00:13:43,000 --> 00:13:45,800 Speaker 2: fit this category as well. Manager man strips is into 260 00:13:45,840 --> 00:13:50,439 Speaker 2: more into some independence and people who are not strict conservatives, 261 00:13:50,440 --> 00:13:54,240 Speaker 2: but they think the Biden administration has been an organizational disaster. 262 00:13:55,280 --> 00:13:59,040 Speaker 2: I think jd Vance last night was playing toward that cohort. 263 00:14:00,160 --> 00:14:03,480 Speaker 2: That they are almost exclusively white collar voters. They tend 264 00:14:03,520 --> 00:14:06,600 Speaker 2: to live in places around other white collar voters where 265 00:14:07,000 --> 00:14:10,760 Speaker 2: Donald tempt to struggled. However, they think the Biden administration's 266 00:14:10,800 --> 00:14:14,160 Speaker 2: policy has been a disaster, and so that group of men. 267 00:14:14,200 --> 00:14:15,600 Speaker 2: There are people who have not voted for a lot 268 00:14:15,679 --> 00:14:17,880 Speaker 2: of Democrats in their in their in their life, but 269 00:14:17,880 --> 00:14:21,160 Speaker 2: but or we're willing to consider it again this time. 270 00:14:21,240 --> 00:14:23,600 Speaker 2: I think Jade Evance was working really hard last night 271 00:14:23,640 --> 00:14:26,560 Speaker 2: on that group. The second group is is what I 272 00:14:26,600 --> 00:14:32,360 Speaker 2: call xbox owners, uh and you know, very younger, younger cohort, 273 00:14:32,800 --> 00:14:37,320 Speaker 2: not nearest college educated, uh and really disconnected from politics. 274 00:14:37,400 --> 00:14:39,800 Speaker 2: And I don't know that he worked very hard at 275 00:14:39,880 --> 00:14:42,120 Speaker 2: that group last night, but I think he was picked 276 00:14:42,160 --> 00:14:44,840 Speaker 2: in part to appeal to that group just had a 277 00:14:44,840 --> 00:14:48,160 Speaker 2: new generational appeal for Trump on the ticket. And so 278 00:14:49,000 --> 00:14:50,520 Speaker 2: I don't know that I heard him talking a lot 279 00:14:50,520 --> 00:14:53,440 Speaker 2: about the issues that those voters care about. But I 280 00:14:53,840 --> 00:14:56,600 Speaker 2: do think that, uh, that those two groups are the 281 00:14:56,680 --> 00:14:59,000 Speaker 2: key for for Trump heading down the stretch. 282 00:14:59,080 --> 00:15:00,760 Speaker 1: I guess my broader can her and as you know, 283 00:15:00,760 --> 00:15:03,440 Speaker 1: what I said previously, I'd rather be Trump than her. 284 00:15:04,040 --> 00:15:07,200 Speaker 1: Is your Democrats tend to have a better turnout ground 285 00:15:07,280 --> 00:15:11,320 Speaker 1: game than we do. Do you think we've we've done not? 286 00:15:11,440 --> 00:15:13,920 Speaker 1: You know, you mentioned, you know, I think obviously you know, 287 00:15:13,960 --> 00:15:16,320 Speaker 1: you know you mentioned. I think this election cycle probably 288 00:15:16,360 --> 00:15:19,160 Speaker 1: comes down to I feel like you'll win North Carolina, 289 00:15:19,240 --> 00:15:22,600 Speaker 1: but I worry about Pennsylvania and in part because of 290 00:15:22,640 --> 00:15:25,680 Speaker 1: that ground game, that turnout operation that Democrats have been 291 00:15:25,680 --> 00:15:27,440 Speaker 1: able to have, and you know, also some room for 292 00:15:27,520 --> 00:15:29,360 Speaker 1: Tom Fulery Shenanigans as well. 293 00:15:29,640 --> 00:15:34,880 Speaker 2: Sure well, Chris do do a better job mechanically on turnout. 294 00:15:34,920 --> 00:15:37,280 Speaker 2: Most years, you know their their vote. Their vote is 295 00:15:37,320 --> 00:15:40,040 Speaker 2: typically very group based. 296 00:15:40,440 --> 00:15:40,600 Speaker 1: Uh. 297 00:15:41,120 --> 00:15:45,240 Speaker 2: And so there's the the structural here. You know, let 298 00:15:45,320 --> 00:15:47,280 Speaker 2: me send you an absentee ballot, let me call you 299 00:15:47,320 --> 00:15:49,480 Speaker 2: and harass you till you send your absentee ballot in. 300 00:15:49,560 --> 00:15:51,560 Speaker 2: And if you don't send your abency ballot in, We're 301 00:15:51,560 --> 00:15:53,200 Speaker 2: going to pick you up and drive you to the polls. 302 00:15:53,200 --> 00:15:55,360 Speaker 2: And that is a that is a that that's a 303 00:15:55,720 --> 00:15:57,760 Speaker 2: that strategy has worked a lot better for them over 304 00:15:57,800 --> 00:16:02,160 Speaker 2: the years. Republican turnout work tends to be persuasion oriented, right, 305 00:16:02,240 --> 00:16:05,440 Speaker 2: you have to you have to make a Democrat mobilized, 306 00:16:05,520 --> 00:16:09,080 Speaker 2: you have to make a Republican irritated. That's often how 307 00:16:09,080 --> 00:16:12,440 Speaker 2: it turnout works. And so I do think that the 308 00:16:12,560 --> 00:16:16,840 Speaker 2: mechanics this time for the Trump campaign are better than 309 00:16:16,880 --> 00:16:21,400 Speaker 2: he's had an either race before. He's had a very 310 00:16:21,440 --> 00:16:24,720 Speaker 2: professional campaign team that had a real big head start, 311 00:16:25,880 --> 00:16:29,080 Speaker 2: and they have done a lot of things, for instance, 312 00:16:29,320 --> 00:16:31,400 Speaker 2: on the ground in Pennsylvania and another state I'm setting 313 00:16:31,480 --> 00:16:35,000 Speaker 2: up close. You know, the Republicans. The gap between Democrats 314 00:16:35,040 --> 00:16:38,760 Speaker 2: and Republicans and mail balloting is much closer than it 315 00:16:38,800 --> 00:16:40,880 Speaker 2: was in twenty twenty. It's closer it was in twenty 316 00:16:40,960 --> 00:16:43,720 Speaker 2: twenty two. Well, that doesn't have by accident. That's because 317 00:16:43,720 --> 00:16:47,760 Speaker 2: it's being actively worked, and that's a weapon in or 318 00:16:47,800 --> 00:16:51,320 Speaker 2: President Trump's campaign arsenal that he's never had before. 319 00:16:51,960 --> 00:16:55,960 Speaker 1: Now does some of that speak to then? You know, 320 00:16:56,400 --> 00:16:59,400 Speaker 1: I guess what does the enthusiasm look like for her? 321 00:16:59,520 --> 00:17:02,000 Speaker 1: Because you Democrats obviously tend to do better in the 322 00:17:02,040 --> 00:17:04,800 Speaker 1: mail in ballots than we do. You know, we're more 323 00:17:04,920 --> 00:17:08,200 Speaker 1: kind of like game day type thing on election day 324 00:17:08,280 --> 00:17:11,200 Speaker 1: or you know, early voting or whatever. But does that 325 00:17:11,320 --> 00:17:14,120 Speaker 1: speak to like, maybe people aren't as excited about her, 326 00:17:14,320 --> 00:17:16,560 Speaker 1: and like even though the poll line shows it's tight, 327 00:17:16,640 --> 00:17:18,560 Speaker 1: that like, it's going to be harder to mobilize people 328 00:17:18,560 --> 00:17:19,640 Speaker 1: to be excited about her. 329 00:17:20,119 --> 00:17:22,520 Speaker 2: Or I think we I think most of us expect 330 00:17:22,560 --> 00:17:24,879 Speaker 2: turnout to drop some from twenty twenty. You know a 331 00:17:24,920 --> 00:17:27,439 Speaker 2: lot of people are still sitting at home with not 332 00:17:27,560 --> 00:17:29,879 Speaker 2: much to do in twenty twenty, so why not vote? 333 00:17:29,920 --> 00:17:33,080 Speaker 2: You know, so I think turnout will be a little less, 334 00:17:34,080 --> 00:17:38,120 Speaker 2: and I think turnout enthusiasm for her it varies. Right 335 00:17:39,280 --> 00:17:43,200 Speaker 2: if for college educated liberals who live around other college 336 00:17:43,280 --> 00:17:46,679 Speaker 2: educated liberals, they have not been this excited about a 337 00:17:46,720 --> 00:17:49,880 Speaker 2: presidential election since two thousand and eight. And that's one 338 00:17:49,960 --> 00:17:52,399 Speaker 2: reason you see in some of the media polls she 339 00:17:52,600 --> 00:17:56,000 Speaker 2: outperforms what I think is reality. It's because those college 340 00:17:56,080 --> 00:17:59,680 Speaker 2: educated liberals are literally climbing through the telephone to tell 341 00:17:59,720 --> 00:18:03,240 Speaker 2: us scrape eacher what they think. And so I think 342 00:18:03,280 --> 00:18:06,280 Speaker 2: she does have enthusiasm with that. But you're talking about 343 00:18:06,280 --> 00:18:10,040 Speaker 2: thirty percent of the country, even before you subtract out 344 00:18:10,040 --> 00:18:12,959 Speaker 2: the Republicans in that group. So it's a It's not 345 00:18:13,000 --> 00:18:17,280 Speaker 2: a tremendous, tremendous number overall in the grand scheme of things, 346 00:18:17,280 --> 00:18:20,240 Speaker 2: but it's a loud number. So that's where I think 347 00:18:20,280 --> 00:18:25,399 Speaker 2: her challenge is to probably generate enthusiasm among people who 348 00:18:25,480 --> 00:18:29,000 Speaker 2: are lower income levels who the economy under Biden and 349 00:18:29,040 --> 00:18:32,200 Speaker 2: Harris had just crushed them, and trying to enthusias get 350 00:18:32,280 --> 00:18:36,040 Speaker 2: those those lower propensity, lower income democrats fired up to 351 00:18:36,040 --> 00:18:38,280 Speaker 2: do more of this. This is really hard for her, I. 352 00:18:38,160 --> 00:18:41,640 Speaker 1: Think, yeah, because you see our number, you know, kind 353 00:18:41,640 --> 00:18:43,720 Speaker 1: of because even you know, I can't remember what cha 354 00:18:43,760 --> 00:18:46,280 Speaker 1: Poole I saw, but I think it had him down 355 00:18:46,640 --> 00:18:49,439 Speaker 1: by twelve with women, but he lost to Hillary Clinton, 356 00:18:49,480 --> 00:18:54,040 Speaker 1: I believe by fifteen points with women in twenty sixteen 357 00:18:54,080 --> 00:18:56,439 Speaker 1: and still went on to win, or even with black voters. 358 00:18:56,520 --> 00:18:59,119 Speaker 1: She seems to be down than previous Democrats has ban it, 359 00:18:59,200 --> 00:19:02,200 Speaker 1: you know, so she's not sort of the coalition doesn't 360 00:19:02,200 --> 00:19:06,000 Speaker 1: look as strong as it has with past Democrat presidential candidates. 361 00:19:06,119 --> 00:19:07,639 Speaker 1: And it's interesting because even the you know, the New 362 00:19:07,720 --> 00:19:11,000 Speaker 1: York Times editorial board endorsing her, like they spent like 363 00:19:11,040 --> 00:19:14,240 Speaker 1: sixteen paragraphs talking about Trump, which was like way more 364 00:19:14,280 --> 00:19:16,520 Speaker 1: than telling us why Kamala. You know, it was all 365 00:19:16,600 --> 00:19:19,000 Speaker 1: just like we hate Trump. It wasn't a boost of Kamala, 366 00:19:19,000 --> 00:19:21,560 Speaker 1: whereas in twenty twenty, the entire endorsement was about how 367 00:19:21,560 --> 00:19:23,959 Speaker 1: great Joe Biden was, or you look at Tim Walls 368 00:19:23,960 --> 00:19:26,800 Speaker 1: and the debate where he really didn't defend her or 369 00:19:26,840 --> 00:19:29,639 Speaker 1: even push her record. He talked more about, you know, 370 00:19:29,720 --> 00:19:31,919 Speaker 1: his time as governor of Minnesota. And so it's like, 371 00:19:32,160 --> 00:19:33,960 Speaker 1: so I just worry about how that or I will 372 00:19:34,040 --> 00:19:35,600 Speaker 1: not worry because I want her to lose, But I 373 00:19:35,840 --> 00:19:38,960 Speaker 1: wonder how that correlates to It's hard to motivate people 374 00:19:38,960 --> 00:19:41,920 Speaker 1: if it's like if the New York Times he can't 375 00:19:41,960 --> 00:19:45,399 Speaker 1: even explain to its readers why Kamala. And it's just 376 00:19:45,640 --> 00:19:48,280 Speaker 1: then how are you mobilize that voter of being like, well, 377 00:19:48,280 --> 00:19:49,800 Speaker 1: why do we even turn out? You know what I mean? 378 00:19:49,840 --> 00:19:51,560 Speaker 1: It's like does that make sense in terms of. 379 00:19:51,680 --> 00:19:55,200 Speaker 2: Yes, I'm trying to well, yeah, there's this creative tension 380 00:19:55,280 --> 00:19:58,280 Speaker 2: going on in the Democrat messaging, right, it is like 381 00:19:59,000 --> 00:20:03,840 Speaker 2: what be it excited about what's next? Except don't focus 382 00:20:03,880 --> 00:20:06,280 Speaker 2: on how upset you are with how things are. And 383 00:20:06,359 --> 00:20:11,040 Speaker 2: so you can't talk about Kambala Harrison's accomplishments without also 384 00:20:11,320 --> 00:20:14,960 Speaker 2: owning this malaise that a lot of voters see us in, 385 00:20:15,040 --> 00:20:17,320 Speaker 2: with an economy that's been too stagnant, with the border 386 00:20:17,359 --> 00:20:19,639 Speaker 2: that's out of control, with the world that's on fire. 387 00:20:20,000 --> 00:20:23,080 Speaker 2: It's awfully hard to brag on her accomplishedness as vice 388 00:20:23,160 --> 00:20:24,960 Speaker 2: president and not have her not own up to that. 389 00:20:25,880 --> 00:20:28,160 Speaker 2: So that's that's why you don't see her doing many 390 00:20:28,200 --> 00:20:31,000 Speaker 2: inniverse interviews. It's uh, there's and it's whether it is 391 00:20:31,040 --> 00:20:35,320 Speaker 2: this inherent tension in their message. And you know, for 392 00:20:35,400 --> 00:20:38,439 Speaker 2: Democrats who are excited about her, you know, they're excited 393 00:20:38,440 --> 00:20:41,800 Speaker 2: about her because they think she might can beat Donald Trump. 394 00:20:41,800 --> 00:20:44,840 Speaker 2: That's why they're excited about her. It's not about anything 395 00:20:44,920 --> 00:20:48,400 Speaker 2: she has done. Or promises to do uh, and their 396 00:20:48,520 --> 00:20:50,960 Speaker 2: their enthusiasm is limited to what she might do on 397 00:20:51,000 --> 00:20:54,360 Speaker 2: the liver of the bit. So that's uh, that's that's 398 00:20:54,400 --> 00:20:58,640 Speaker 2: also is kind of an empty uh pat forward, empty momentum, 399 00:20:58,680 --> 00:20:59,120 Speaker 2: if you will. 400 00:20:59,800 --> 00:21:02,280 Speaker 1: Yeah, And then I think that's challenging in that environment too, 401 00:21:02,400 --> 00:21:04,480 Speaker 1: when you know, you look at some of the pulling. 402 00:21:04,520 --> 00:21:06,120 Speaker 1: I think it was like CNN not too long ago 403 00:21:06,160 --> 00:21:08,879 Speaker 1: found that there's actually like Trump nostalgia where a majority 404 00:21:08,920 --> 00:21:11,680 Speaker 1: of Americans look back at his administration, you know, fondly, 405 00:21:11,800 --> 00:21:13,720 Speaker 1: or you look at the fact he's leading on the 406 00:21:13,760 --> 00:21:17,080 Speaker 1: economy and immigration, so like it was probably easier to 407 00:21:17,160 --> 00:21:19,199 Speaker 1: run on I'm not Trump and you know, you know, 408 00:21:19,240 --> 00:21:21,240 Speaker 1: tack Donald Trump like they did in twenty sixteen or 409 00:21:21,240 --> 00:21:23,240 Speaker 1: even in twenty twenty a Joe Biden I'm not Donald 410 00:21:23,280 --> 00:21:27,200 Speaker 1: Trump mean tweets, you know, whatever, whatever, But it's harder 411 00:21:27,240 --> 00:21:29,960 Speaker 1: to do now when everything is so bad under the 412 00:21:29,960 --> 00:21:34,199 Speaker 1: current administration. People have nostalgia about his administration, and then 413 00:21:34,240 --> 00:21:36,439 Speaker 1: he also leads on you know, the two top issues 414 00:21:36,440 --> 00:21:39,560 Speaker 1: for voters, both the economy and and immigration. So I 415 00:21:39,600 --> 00:21:43,439 Speaker 1: think it's you know, that anti Trump narrative, you know, 416 00:21:43,760 --> 00:21:46,879 Speaker 1: from an objective standbanks or even a common sense standpoint, 417 00:21:46,920 --> 00:21:48,640 Speaker 1: it seems like it might be a little harder to drive, 418 00:21:49,560 --> 00:21:51,359 Speaker 1: not discounting the fact that you know, there are Americans 419 00:21:51,400 --> 00:21:54,879 Speaker 1: who obviously can't stand him, but I'm just given that 420 00:21:54,960 --> 00:21:56,320 Speaker 1: backdrop of the environment. 421 00:21:57,320 --> 00:21:59,879 Speaker 2: Well, you know, every presidential election involves in the com 422 00:22:00,119 --> 00:22:02,760 Speaker 2: but it's always really centers on one question, are you 423 00:22:02,760 --> 00:22:06,119 Speaker 2: better up now than were four years ago? And well, she, 424 00:22:06,240 --> 00:22:09,480 Speaker 2: of course is the stand in incumbent for this administration, 425 00:22:09,760 --> 00:22:13,320 Speaker 2: and so I think that, uh, that's why you have 426 00:22:13,440 --> 00:22:16,680 Speaker 2: seen this election sort of stay on a pretty even 427 00:22:16,680 --> 00:22:19,439 Speaker 2: though the campaign around it has been very valid or 428 00:22:19,440 --> 00:22:22,879 Speaker 2: the polling has been relatively trading in very narrow bands, 429 00:22:22,920 --> 00:22:25,840 Speaker 2: and it's been it's simply because there's there's the majority 430 00:22:25,840 --> 00:22:28,640 Speaker 2: of the country is not really happy with where things 431 00:22:28,640 --> 00:22:31,080 Speaker 2: were are now relative four years ago. 432 00:22:32,200 --> 00:22:36,640 Speaker 1: If you if the media covered her with any sort 433 00:22:36,640 --> 00:22:39,400 Speaker 1: of you know, fair you know, we've seen the numbers 434 00:22:39,520 --> 00:22:42,399 Speaker 1: like eighty four percent positive from Media Research Center. I 435 00:22:42,440 --> 00:22:45,719 Speaker 1: think ABC was like one hundred percent positive. And then 436 00:22:45,920 --> 00:22:48,399 Speaker 1: you know, obviously like eighty nine percent negative or Trump 437 00:22:48,440 --> 00:22:52,199 Speaker 1: or whatever it is. Uh, you know, how much influence 438 00:22:52,480 --> 00:22:54,440 Speaker 1: does that have on the electorate. 439 00:22:56,720 --> 00:22:58,800 Speaker 2: Well, it's declining. I think I think a lot of 440 00:22:58,920 --> 00:23:02,120 Speaker 2: legacy media outlets are no longer respected by a great 441 00:23:02,160 --> 00:23:05,080 Speaker 2: deal of the country. You know. In my view, last night, 442 00:23:05,800 --> 00:23:10,719 Speaker 2: I think Norah O'Donnell and Varter Brennan DIDs real damage 443 00:23:10,840 --> 00:23:15,080 Speaker 2: their long term professional credibility by you know, breaking their 444 00:23:15,080 --> 00:23:18,200 Speaker 2: own rules to fact check Jadie Vance, but they didn't 445 00:23:18,200 --> 00:23:20,000 Speaker 2: have the right facts, and then they cut off his 446 00:23:20,080 --> 00:23:22,399 Speaker 2: mic when he exposed that they didn't have the right facts. 447 00:23:22,400 --> 00:23:25,760 Speaker 2: And so I think that certainly there has been glowing 448 00:23:25,800 --> 00:23:29,000 Speaker 2: coverage and in much of the legacy media for her 449 00:23:29,720 --> 00:23:32,680 Speaker 2: h and not near enough holding her to account for 450 00:23:32,840 --> 00:23:37,440 Speaker 2: not being accountable to them in interviews. But I also 451 00:23:37,480 --> 00:23:40,120 Speaker 2: think it's a narrower, narrower group that's influenced by that. 452 00:23:41,160 --> 00:23:43,640 Speaker 2: You know, there probably were just as many people last 453 00:23:43,720 --> 00:23:47,119 Speaker 2: night who who decided they thought less of CBS than 454 00:23:47,160 --> 00:23:49,880 Speaker 2: they thought less of either one of those candidates. And 455 00:23:50,160 --> 00:23:52,000 Speaker 2: I think that's a very real factor. 456 00:23:53,320 --> 00:23:56,560 Speaker 1: We've got more with Brad on this election. But first, 457 00:23:56,680 --> 00:24:00,840 Speaker 1: in these uncertain times, rising crime in America's neighborhood endangers 458 00:24:00,840 --> 00:24:03,960 Speaker 1: the safety of loved ones. 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Visit s a 478 00:25:13,560 --> 00:25:16,840 Speaker 1: b are radio dot com or called eight four four 479 00:25:17,160 --> 00:25:20,960 Speaker 1: eight two four safe today that's eight four four eight 480 00:25:21,000 --> 00:25:28,879 Speaker 1: two four safe. You know, looking at the Senate, it seems, 481 00:25:28,880 --> 00:25:33,280 Speaker 1: you know, Republicans will likely win back the Senate. You know, 482 00:25:33,560 --> 00:25:35,239 Speaker 1: how do you where do you think some of these 483 00:25:35,320 --> 00:25:38,000 Speaker 1: races are going to fall down? And what do you think? 484 00:25:38,040 --> 00:25:40,560 Speaker 1: I assume the House will probably just follow whoever wins 485 00:25:40,600 --> 00:25:45,120 Speaker 1: the Senate and the presidency. But sort of what's looking 486 00:25:45,160 --> 00:25:47,440 Speaker 1: at sort of the congressional races, both Senate and House. 487 00:25:48,600 --> 00:25:50,920 Speaker 1: You know, how do you feel about the elector right now? 488 00:25:51,680 --> 00:25:54,320 Speaker 2: Well, Republic's going to take over the Senate. Uh, they're 489 00:25:54,359 --> 00:25:57,480 Speaker 2: gonna be fifty one senators when at a minimum when 490 00:25:57,520 --> 00:25:59,520 Speaker 2: we wake up on November. The questions for where it's 491 00:25:59,520 --> 00:26:03,000 Speaker 2: fifty two, fifty three or fifty four and why does 492 00:26:03,040 --> 00:26:06,000 Speaker 2: that matter if you're a conservative? Well, if fifty one, 493 00:26:07,240 --> 00:26:09,520 Speaker 2: you just in the next two years with Susan Collins 494 00:26:09,560 --> 00:26:12,960 Speaker 2: and Lisa Murkowski being in the same catbird seats that 495 00:26:13,040 --> 00:26:15,680 Speaker 2: Joe Manson and Kristen Cinema will were for the Democrats 496 00:26:15,720 --> 00:26:19,240 Speaker 2: the last couple of years, where those two most moderate 497 00:26:19,280 --> 00:26:23,159 Speaker 2: members of the Senate Repolican conference would have very heavy 498 00:26:23,160 --> 00:26:28,280 Speaker 2: handed negotiations and on everything to get the pass through 499 00:26:28,280 --> 00:26:31,560 Speaker 2: the Senate, even if Republicans of the White House would 500 00:26:31,600 --> 00:26:35,760 Speaker 2: require both of them, and so on most most things. 501 00:26:35,800 --> 00:26:38,639 Speaker 2: And so that's that's a question Conservatives have to consider. 502 00:26:38,760 --> 00:26:42,320 Speaker 2: The second thing is, you know the next two Senate cycles, 503 00:26:42,359 --> 00:26:43,919 Speaker 2: and you know, only a third of the Senate's up 504 00:26:43,960 --> 00:26:47,600 Speaker 2: each election, So twenty six and twenty eight, Republicans will 505 00:26:47,600 --> 00:26:49,640 Speaker 2: be playing more defense this year where there's not much 506 00:26:49,640 --> 00:26:53,000 Speaker 2: Republican defense happening. It's all offense against Democratic incumbents. And 507 00:26:53,040 --> 00:26:55,840 Speaker 2: so holding a fifty one seat Senate the next two 508 00:26:55,880 --> 00:26:59,440 Speaker 2: cycles is not going to be easy. So my contention 509 00:26:59,600 --> 00:27:01,800 Speaker 2: is always been that it would be a failure for 510 00:27:01,840 --> 00:27:04,199 Speaker 2: Republicans to end up with fifty one, even though that 511 00:27:04,280 --> 00:27:07,119 Speaker 2: means taking control. I think Republicans need to be aiming 512 00:27:07,119 --> 00:27:09,800 Speaker 2: for fifty three or fifty four. This time. We have 513 00:27:09,840 --> 00:27:12,200 Speaker 2: the seats to do it. You know, the reason I 514 00:27:12,280 --> 00:27:14,399 Speaker 2: say fifty one is done because Joe Mansion Steed in 515 00:27:14,400 --> 00:27:17,359 Speaker 2: West Virginia is going to go to Jim Justice in Montana. 516 00:27:17,560 --> 00:27:20,679 Speaker 2: John Tester's time is up. You know, he's he's been 517 00:27:20,920 --> 00:27:23,720 Speaker 2: only thinking that is Montana about him as his haircut, 518 00:27:23,840 --> 00:27:27,480 Speaker 2: and so's his time is finally up. He's running great 519 00:27:27,480 --> 00:27:30,480 Speaker 2: Democratic years and lucked out a few times, but he's 520 00:27:30,480 --> 00:27:33,879 Speaker 2: going to lose this time. So that's fifty. I get 521 00:27:33,920 --> 00:27:35,840 Speaker 2: you to fifty one, and you have great chances for 522 00:27:35,880 --> 00:27:39,280 Speaker 2: Republicans to win in Pennsylvania with Dave McCormick, who is 523 00:27:39,359 --> 00:27:42,159 Speaker 2: running a great challenge to Bob Casey. You have in 524 00:27:42,240 --> 00:27:45,400 Speaker 2: Ohio state Trump's going to win by ten. I think 525 00:27:45,840 --> 00:27:48,800 Speaker 2: Bernie Moreno can beat Shared Brown there. You've got an 526 00:27:48,800 --> 00:27:52,280 Speaker 2: open seat in Michigan with Mike Rodgers who is running 527 00:27:52,280 --> 00:27:55,320 Speaker 2: against Alicia Slotkin, and there are plenty of undecided left 528 00:27:55,320 --> 00:27:57,679 Speaker 2: in that race. It's the state Donald Trump may carry, 529 00:27:57,720 --> 00:27:59,639 Speaker 2: and if so, he might be able to pull Mike 530 00:27:59,760 --> 00:28:03,000 Speaker 2: rod behind him. And then it Wisconsin, you know where 531 00:28:03,040 --> 00:28:05,560 Speaker 2: I think Tammy Baldwin has run an excellent race for 532 00:28:05,640 --> 00:28:08,680 Speaker 2: the Democrats, just tactically if I'm looking at the outside, 533 00:28:09,480 --> 00:28:12,840 Speaker 2: But you know, the state is more conservative than she is, 534 00:28:12,960 --> 00:28:15,320 Speaker 2: and the presidential race will be close, and so it 535 00:28:15,359 --> 00:28:17,879 Speaker 2: is still possible that she could also lose it. 536 00:28:17,880 --> 00:28:20,600 Speaker 1: Wisconsin's an interesting state. I worked on the Tommy Thompson 537 00:28:20,640 --> 00:28:23,960 Speaker 1: for Senate campaign as his Commons director for the last 538 00:28:23,960 --> 00:28:28,360 Speaker 1: couple of months of the race against her. She's an 539 00:28:28,359 --> 00:28:32,600 Speaker 1: interesting character and it's an interesting state. So Alyssa Slotkin 540 00:28:32,920 --> 00:28:35,840 Speaker 1: was recently in a fundraising call. She was talking about 541 00:28:35,840 --> 00:28:41,400 Speaker 1: how her internal numbers have Kamala Harris underwater there. How 542 00:28:41,480 --> 00:28:43,440 Speaker 1: much of that do you think is I mean, obviously, 543 00:28:43,520 --> 00:28:47,360 Speaker 1: with these candidates, you're trying to get people's money, and 544 00:28:47,400 --> 00:28:49,440 Speaker 1: the only way to get money is if you're you know, 545 00:28:49,480 --> 00:28:51,920 Speaker 1: in a down position or it's a dogfighter or whatever. 546 00:28:53,480 --> 00:28:56,560 Speaker 1: How reflective of the environment do you think some of 547 00:28:56,600 --> 00:29:00,720 Speaker 1: these pools that we're seeing truly are? And then you know, 548 00:29:00,840 --> 00:29:04,640 Speaker 1: I guess as pulling become less accurate over the years 549 00:29:04,760 --> 00:29:06,280 Speaker 1: or you know, kind of talk a little bit about 550 00:29:06,280 --> 00:29:10,520 Speaker 1: that in terms of, you know, trying to really get 551 00:29:10,520 --> 00:29:13,000 Speaker 1: the truth and assess where you are in a campaign 552 00:29:13,040 --> 00:29:14,400 Speaker 1: with today's pulling. 553 00:29:15,440 --> 00:29:19,680 Speaker 2: Well, first off, I take Sluckin's comments with a grain 554 00:29:19,720 --> 00:29:23,760 Speaker 2: of salt. You know, Democratic donors respond best to be flogged, 555 00:29:24,800 --> 00:29:27,160 Speaker 2: and so you have to tell them I'm losing. It's awful. 556 00:29:27,400 --> 00:29:31,000 Speaker 2: You have to save me. And then with their Messiah complex, 557 00:29:31,040 --> 00:29:34,200 Speaker 2: they write checks. On the Republican side, donors are a 558 00:29:34,200 --> 00:29:38,160 Speaker 2: lot more investor motivated. Right, they want to see that 559 00:29:38,200 --> 00:29:43,200 Speaker 2: you're almost produce a guaranteed return. That's what makes Republicans invest. 560 00:29:43,240 --> 00:29:45,320 Speaker 2: You know, if you give me money, I'll win. Democrats 561 00:29:45,360 --> 00:29:47,440 Speaker 2: response do better with If you don't give me money, 562 00:29:47,480 --> 00:29:50,680 Speaker 2: I'll lose. It's just an odd psychology that I don't 563 00:29:50,720 --> 00:29:52,960 Speaker 2: really fully understand how we got to this point. So 564 00:29:53,000 --> 00:30:02,080 Speaker 2: I would put a touch stock, but you know, is 565 00:30:02,280 --> 00:30:05,440 Speaker 2: getting harder because it's harder to get people to pick 566 00:30:05,480 --> 00:30:08,440 Speaker 2: up the phone and talk to a stranger for you know, 567 00:30:08,520 --> 00:30:13,760 Speaker 2: fifteen minutes or so. And so therefore posters are all making, 568 00:30:14,920 --> 00:30:19,840 Speaker 2: you know, decisions about their sample frame that have real 569 00:30:19,880 --> 00:30:22,440 Speaker 2: impact on the final numbers. And they're trying to do 570 00:30:22,520 --> 00:30:24,360 Speaker 2: their best to trying to figure out who's going to vote. 571 00:30:24,440 --> 00:30:27,480 Speaker 2: But there's some art to go with the science, and 572 00:30:27,920 --> 00:30:30,200 Speaker 2: you know, we were The other problem is we're washed 573 00:30:30,480 --> 00:30:32,880 Speaker 2: this in a lot of bad media polling. You know, 574 00:30:33,240 --> 00:30:36,600 Speaker 2: if you pull for a television network or a newspaper 575 00:30:36,680 --> 00:30:40,000 Speaker 2: or a university, nobody hires and fires you because you're 576 00:30:40,080 --> 00:30:43,120 Speaker 2: right or wrong. It's just a marketing tool for the network, 577 00:30:43,240 --> 00:30:46,360 Speaker 2: or for the or for the university. So as a result, 578 00:30:46,440 --> 00:30:50,760 Speaker 2: those polls tend to be pretty crappy. And the private 579 00:30:50,800 --> 00:30:53,960 Speaker 2: campaign polls on both sides, the Democrats or Republican campaigns 580 00:30:54,000 --> 00:30:56,320 Speaker 2: paid for, they cost a lot more. They're done with 581 00:30:56,360 --> 00:30:58,680 Speaker 2: a lot more care and by people with a lot 582 00:30:58,720 --> 00:31:01,920 Speaker 2: more experience than those states. Uh, and those polls are 583 00:31:01,960 --> 00:31:04,479 Speaker 2: pretty accurate, you know. I looked back at last time, 584 00:31:04,520 --> 00:31:07,120 Speaker 2: the New York Times said that Joe Biden was gonna 585 00:31:07,120 --> 00:31:10,760 Speaker 2: win Wisconsin by eleven. My partner Wes Anderson, had a 586 00:31:10,760 --> 00:31:13,120 Speaker 2: poll that had Joe Biden winning it by one. Well, 587 00:31:13,160 --> 00:31:16,320 Speaker 2: you know what he wanted by one, you know, so 588 00:31:16,800 --> 00:31:19,360 Speaker 2: it's it and then we're taking at the same time. 589 00:31:19,400 --> 00:31:22,640 Speaker 2: It's just somebody had had more experience than the other person. 590 00:31:22,720 --> 00:31:26,479 Speaker 2: So I think the public's kind of south on polls 591 00:31:26,480 --> 00:31:31,080 Speaker 2: because they uh that they see so many bad quality 592 00:31:31,120 --> 00:31:33,440 Speaker 2: polls in the news media that don't turn out to 593 00:31:33,480 --> 00:31:36,320 Speaker 2: be We're close to the to the truth. And I 594 00:31:36,320 --> 00:31:38,280 Speaker 2: think that that, you know, pole is still a very 595 00:31:38,360 --> 00:31:42,080 Speaker 2: valuable tool. It is getting harder, but but we still 596 00:31:42,200 --> 00:31:43,560 Speaker 2: gleamed a lot of important information. 597 00:31:44,560 --> 00:31:48,680 Speaker 1: I guess before we go, I guess, how have you 598 00:31:48,800 --> 00:31:52,040 Speaker 1: seen Paul You know, you worked in politics for you know, 599 00:31:52,120 --> 00:31:53,960 Speaker 1: quite some time. He worked on a lot of different races, 600 00:31:53,960 --> 00:31:56,560 Speaker 1: a lot of different types of races. I guess, what 601 00:31:56,600 --> 00:32:01,280 Speaker 1: are the biggest ways you've seen the game chance and seeing, 602 00:32:01,560 --> 00:32:03,160 Speaker 1: you know, campaigning change. 603 00:32:04,520 --> 00:32:09,640 Speaker 2: Well, I think the degradation of trust in legacy media 604 00:32:09,680 --> 00:32:10,520 Speaker 2: is one big thing. 605 00:32:10,600 --> 00:32:10,720 Speaker 1: You know. 606 00:32:10,800 --> 00:32:12,760 Speaker 2: We were I was talking with someone yesterday on the 607 00:32:12,800 --> 00:32:15,320 Speaker 2: Democrat side and they we used to go to all 608 00:32:15,360 --> 00:32:17,600 Speaker 2: the editorial boards and campaigns, right, it was just a 609 00:32:17,600 --> 00:32:21,200 Speaker 2: matter of course that you would take your candidate editorial boards. 610 00:32:21,240 --> 00:32:23,640 Speaker 2: I mean, most Republicans wouldn't get caught dead in the 611 00:32:23,680 --> 00:32:27,000 Speaker 2: editorial board now because it's a rig game. Uh. They've 612 00:32:27,000 --> 00:32:29,760 Speaker 2: got a camera running. They're trying to ask gotcha questions 613 00:32:29,840 --> 00:32:32,640 Speaker 2: and post things that will get clicks to their newspaper. 614 00:32:32,680 --> 00:32:34,719 Speaker 2: And you know, back in the old days, the editorial 615 00:32:34,760 --> 00:32:37,160 Speaker 2: board was entirely off the record. There were no reporters 616 00:32:37,160 --> 00:32:40,400 Speaker 2: in there. The publisher of the paper and their editorial 617 00:32:40,400 --> 00:32:42,320 Speaker 2: board members were just trying to understand the way each 618 00:32:42,360 --> 00:32:45,600 Speaker 2: candidate thought. And it was a pretty open and sometimes 619 00:32:45,640 --> 00:32:50,320 Speaker 2: colorful exchange of ideas. That's just gone, uh, and that's 620 00:32:50,360 --> 00:32:54,800 Speaker 2: probably for the worst. And the notion of reaching people 621 00:32:54,880 --> 00:32:58,280 Speaker 2: through interviews and what we call earned media. You know, 622 00:32:58,320 --> 00:33:01,280 Speaker 2: which which you been so good at. You know, that's 623 00:33:01,360 --> 00:33:04,360 Speaker 2: that's getting very very much a one side of a 624 00:33:04,400 --> 00:33:10,000 Speaker 2: street thing. You know. Republicans go to conservative news outlets 625 00:33:10,120 --> 00:33:12,760 Speaker 2: that reach the voters who might vote for Republicans, and 626 00:33:12,800 --> 00:33:16,200 Speaker 2: Democrats go to the don't lift left leading news outlets 627 00:33:16,240 --> 00:33:19,240 Speaker 2: that'll reach their voters, and and so the can don't 628 00:33:19,320 --> 00:33:21,600 Speaker 2: end up talking to the same people. And so that 629 00:33:22,080 --> 00:33:25,120 Speaker 2: on a day to day basis is very different. And 630 00:33:25,240 --> 00:33:27,400 Speaker 2: campaigns also can by pass them, you know. I mean 631 00:33:27,840 --> 00:33:30,120 Speaker 2: we used to live and die on can we get 632 00:33:30,160 --> 00:33:32,520 Speaker 2: three news cameras at one of our events. Well, now 633 00:33:32,560 --> 00:33:35,400 Speaker 2: we just take our own camp and cut package together 634 00:33:35,440 --> 00:33:37,880 Speaker 2: and put it up on social media and and let 635 00:33:38,240 --> 00:33:40,760 Speaker 2: let the public see it. So, uh, the way we 636 00:33:40,800 --> 00:33:43,880 Speaker 2: communicate on a day to day basis, and campaigns and 637 00:33:43,880 --> 00:33:46,840 Speaker 2: and and the filters we have to tolerate have really changed. 638 00:33:47,440 --> 00:33:51,080 Speaker 1: And you know, I think Trump's use of podcasters it's 639 00:33:51,120 --> 00:33:53,840 Speaker 1: it's been interesting and uh, you know, to kind of 640 00:33:53,880 --> 00:33:56,280 Speaker 1: reaching especially those like the young men, like maybe those 641 00:33:56,400 --> 00:34:00,560 Speaker 1: xboxers you're talking you know, uh, just take a differentmographic 642 00:34:00,880 --> 00:34:03,920 Speaker 1: of voters. I guess very last question, I'll let you 643 00:34:03,960 --> 00:34:07,160 Speaker 1: go ex Center. You're busy guy, if you're you know what, 644 00:34:07,320 --> 00:34:11,120 Speaker 1: you are advising Republicans. But what if Republicans need to do, 645 00:34:11,160 --> 00:34:14,160 Speaker 1: What does Trump need to do to close this thing 646 00:34:14,200 --> 00:34:17,480 Speaker 1: out and get them over the line on November fifth? Like, 647 00:34:17,560 --> 00:34:19,719 Speaker 1: what do these next few weeks look like? What needs 648 00:34:19,719 --> 00:34:20,160 Speaker 1: to get done? 649 00:34:20,960 --> 00:34:22,839 Speaker 2: I think Donald Trump has to do the thing that's 650 00:34:22,880 --> 00:34:25,000 Speaker 2: hardest for Donald Trump to do, and that is to 651 00:34:25,080 --> 00:34:28,960 Speaker 2: make this election not about himself, if he makes it 652 00:34:29,000 --> 00:34:34,520 Speaker 2: about how the voters feel about their own status, which 653 00:34:34,840 --> 00:34:37,279 Speaker 2: when he's at his best, he is great at doing that. 654 00:34:37,280 --> 00:34:40,080 Speaker 2: That's how he won in twenty sixteen. Is he spent 655 00:34:40,160 --> 00:34:43,400 Speaker 2: the last part of the election moving the shift of 656 00:34:43,440 --> 00:34:47,040 Speaker 2: the race onto the voters and what their interests were 657 00:34:47,200 --> 00:34:49,720 Speaker 2: and who stood in the way of the voters achieving 658 00:34:49,760 --> 00:34:53,160 Speaker 2: the things they wanted to do. I think that's the 659 00:34:53,239 --> 00:34:56,400 Speaker 2: task if he's able to make this race about the voters. 660 00:34:56,400 --> 00:34:59,160 Speaker 2: You know, because kayble Aras is not out campaigning, she's 661 00:34:59,200 --> 00:35:01,240 Speaker 2: not out hit you know, she's not hitting the trail 662 00:35:01,320 --> 00:35:04,000 Speaker 2: to near the extent the former president Trump is, and 663 00:35:04,120 --> 00:35:07,160 Speaker 2: Tim Wallas is knocked out like Jade Vancis. They they're 664 00:35:07,200 --> 00:35:09,840 Speaker 2: just not doing that level of voter contact. They're not 665 00:35:09,920 --> 00:35:13,279 Speaker 2: in the public gods and advertising. I think that they have. 666 00:35:13,520 --> 00:35:16,239 Speaker 2: The Trump Vance campaign has a real chance, but they 667 00:35:16,320 --> 00:35:19,720 Speaker 2: have to shift it off personality and make it about 668 00:35:19,760 --> 00:35:22,080 Speaker 2: where voters are. Is the economy better or worse than 669 00:35:22,120 --> 00:35:24,040 Speaker 2: it was four years ago? Is the border better or 670 00:35:24,040 --> 00:35:26,319 Speaker 2: worse than it was four years ago? Is the world 671 00:35:26,400 --> 00:35:28,759 Speaker 2: safer or down more dangerous than it was four years ago. 672 00:35:29,120 --> 00:35:31,360 Speaker 2: That's the task I think for the Trump Vance campaign, 673 00:35:31,440 --> 00:35:33,000 Speaker 2: and I think if they do do that, they have 674 00:35:33,040 --> 00:35:33,919 Speaker 2: a great chance to win. 675 00:35:34,000 --> 00:35:36,480 Speaker 1: And I hope they do because the country's going to help. 676 00:35:36,719 --> 00:35:41,680 Speaker 1: So it's the world. Brad Todd, co founder on Message, 677 00:35:41,719 --> 00:35:44,160 Speaker 1: I really appreciate it. Thanks so much for making the time. 678 00:35:44,239 --> 00:35:46,440 Speaker 1: This is really interesting. I think we all learned a 679 00:35:46,480 --> 00:35:47,680 Speaker 1: lot to really appreciate it. 680 00:35:48,320 --> 00:35:48,839 Speaker 2: Thanks a lot. 681 00:35:49,440 --> 00:35:52,239 Speaker 1: There was Brad Todd. He's a founding partner of On 682 00:35:52,440 --> 00:35:55,160 Speaker 1: Message media firm. Appreciate him for taking the time to 683 00:35:55,239 --> 00:35:57,280 Speaker 1: join the show. Appreciate you guys at home for listening 684 00:35:57,680 --> 00:36:00,000 Speaker 1: every Monday and Thursday, but you can listen throughout the week. 685 00:36:00,080 --> 00:36:01,759 Speaker 1: I want to think John Cassio and my producer for 686 00:36:01,800 --> 00:36:03,399 Speaker 1: putting the show together. Until next time,