1 00:00:00,360 --> 00:00:05,560 Speaker 1: Today's episode, we'll focus on one thing, where does this 2 00:00:05,720 --> 00:00:10,200 Speaker 1: presidential election stand today. Obviously we can't predict what will 3 00:00:10,240 --> 00:00:13,480 Speaker 1: happen in November, but the whole point of polling is 4 00:00:13,520 --> 00:00:15,640 Speaker 1: to get a snapshot, to get an idea of where 5 00:00:15,680 --> 00:00:18,520 Speaker 1: things stand today and where this race might be heading. 6 00:00:18,560 --> 00:00:21,840 Speaker 1: It's been a wild election cycle, with the attempted assassination 7 00:00:22,160 --> 00:00:25,840 Speaker 1: of former President Donald Trump, with Joe Biden dropping out 8 00:00:25,960 --> 00:00:29,840 Speaker 1: via x A tweet, Kamala Harris, a whole new Democrat 9 00:00:29,920 --> 00:00:34,879 Speaker 1: candidate being anointed, being installed by her parties, billionaires and elites, 10 00:00:35,280 --> 00:00:37,040 Speaker 1: and then picking Tim Walls, a guy who wants to 11 00:00:37,040 --> 00:00:40,400 Speaker 1: put tampons in the boys' bathroom, as her vice presidential pick. 12 00:00:40,600 --> 00:00:44,680 Speaker 1: So it's been a chaotic, tumultuous cycle, which potentially could 13 00:00:44,720 --> 00:00:47,839 Speaker 1: make pulling a little bit harder to figure out. So 14 00:00:47,960 --> 00:00:51,080 Speaker 1: we'll talk to someone who has been consistent in his 15 00:00:51,200 --> 00:00:54,960 Speaker 1: polling efforts, who's been correct much more than many of 16 00:00:55,000 --> 00:00:57,280 Speaker 1: the others, and who's always honest with us when we 17 00:00:57,320 --> 00:00:59,680 Speaker 1: have him on the show. It's Robert Kahley with the 18 00:00:59,760 --> 00:01:02,520 Speaker 1: tr We're going to get his take on if the 19 00:01:02,560 --> 00:01:06,760 Speaker 1: debate potentially changed the dynamics of the election. Many are 20 00:01:06,800 --> 00:01:08,919 Speaker 1: saying that it wasn't the best night for Donald Trump, 21 00:01:09,000 --> 00:01:11,880 Speaker 1: So how does that impact him moving forward? We'll get 22 00:01:11,880 --> 00:01:14,000 Speaker 1: his take on the media, what role the media is 23 00:01:14,040 --> 00:01:17,520 Speaker 1: playing and determining the outcome of this election. Also, a 24 00:01:17,560 --> 00:01:20,280 Speaker 1: lot is being discussed about this massive gender gap. 25 00:01:20,480 --> 00:01:21,480 Speaker 2: What do you needed about that. 26 00:01:21,880 --> 00:01:24,800 Speaker 1: We'll also get into the key battleground states and where 27 00:01:24,800 --> 00:01:28,760 Speaker 1: the House and Senate elections stand as well. Stay tuned 28 00:01:28,920 --> 00:01:37,480 Speaker 1: for Robert Kahley with the Trafalgar Group. Robert, it's so 29 00:01:37,520 --> 00:01:40,200 Speaker 1: great to have you on the show. This has been 30 00:01:40,280 --> 00:01:45,160 Speaker 1: an extremely wild election cycle, so looking forward to hearing 31 00:01:45,160 --> 00:01:47,240 Speaker 1: your insight and where things stand now. 32 00:01:47,319 --> 00:01:49,279 Speaker 2: So always appreciate you coming on the show. 33 00:01:50,600 --> 00:01:55,160 Speaker 3: Absolutely, it's a pleasure to be here, and especially with 34 00:01:56,080 --> 00:01:58,840 Speaker 3: people that I think so much of and it's you know, 35 00:01:59,240 --> 00:02:01,960 Speaker 3: kind of would to have somebody like you to talk with. 36 00:02:02,120 --> 00:02:05,520 Speaker 3: It kind of knows a lot about the subject, so 37 00:02:05,640 --> 00:02:07,400 Speaker 3: it's always a good discussion. 38 00:02:07,880 --> 00:02:09,560 Speaker 2: Well that means a lot. I really appreciate that. 39 00:02:10,400 --> 00:02:12,840 Speaker 1: You know, as a poster, you're trying to kind of 40 00:02:12,880 --> 00:02:15,920 Speaker 1: identify trends and you're obviously you know, looking at a 41 00:02:15,919 --> 00:02:19,200 Speaker 1: snapshot in time of where things currently stand. How difficult 42 00:02:19,280 --> 00:02:22,400 Speaker 1: has it been this election cycle just with you know, 43 00:02:22,440 --> 00:02:25,040 Speaker 1: we've had an assassination attempt and then a whole new 44 00:02:25,080 --> 00:02:26,040 Speaker 1: Democrat ticket. 45 00:02:26,120 --> 00:02:27,720 Speaker 2: I mean, it's just been so tumultuous. 46 00:02:28,360 --> 00:02:32,639 Speaker 1: How challenging does that make your job and trying to assess, 47 00:02:33,320 --> 00:02:34,359 Speaker 1: you know, where things stand. 48 00:02:35,520 --> 00:02:39,840 Speaker 3: Well, yeah, the polling itself hasn't been so difficult. It's 49 00:02:40,400 --> 00:02:45,160 Speaker 3: the rapid changes. For example, you mentioned the change and 50 00:02:45,200 --> 00:02:50,799 Speaker 3: the assassination. In both cases, before the assassination, the tent 51 00:02:51,440 --> 00:02:55,880 Speaker 3: and and the weekend when that all came clear Kamala 52 00:02:55,880 --> 00:02:58,480 Speaker 3: Harris was going to come, we were in the field 53 00:02:58,560 --> 00:03:01,399 Speaker 3: almost finished with an entire poles we had to scrap 54 00:03:03,000 --> 00:03:07,000 Speaker 3: and so it was very frustrating because these things aren't 55 00:03:07,080 --> 00:03:10,080 Speaker 3: cheap to do, and when you have scrapped that many polls, 56 00:03:10,160 --> 00:03:13,480 Speaker 3: it's just like but they're not going to make any sense. 57 00:03:15,560 --> 00:03:17,480 Speaker 3: And so it was one of those things was we 58 00:03:17,480 --> 00:03:20,080 Speaker 3: were trying to establish, like with Trump, a baseline up 59 00:03:20,080 --> 00:03:22,840 Speaker 3: where it was going into the convention. Well that was 60 00:03:22,840 --> 00:03:26,280 Speaker 3: out the window because he had an assassination e tipt 61 00:03:26,320 --> 00:03:29,400 Speaker 3: on a Saturday at an avention that started on Monday, 62 00:03:29,480 --> 00:03:34,000 Speaker 3: So there's no window left to do any kind of 63 00:03:34,000 --> 00:03:37,520 Speaker 3: a survey and everything we'd done up. There was just trash. 64 00:03:38,160 --> 00:03:41,000 Speaker 3: So yeah, in that sense, it's very difficult when they're 65 00:03:41,160 --> 00:03:46,480 Speaker 3: massive changes like this, but otherwise the questions are kind 66 00:03:46,480 --> 00:03:51,800 Speaker 3: of the same, and at least with Kambala, it lets 67 00:03:51,880 --> 00:03:56,119 Speaker 3: us dig in a little bit deeper. Because the one 68 00:03:56,160 --> 00:03:59,560 Speaker 3: thing we noticed very early with Biden, and I thought 69 00:03:59,600 --> 00:04:03,640 Speaker 3: this was a problem with the Republicans, was that the 70 00:04:03,720 --> 00:04:08,080 Speaker 3: main objection to Biden was his age, and there was 71 00:04:08,120 --> 00:04:12,240 Speaker 3: a great overconfidence among Republicans. I talked about it on 72 00:04:12,360 --> 00:04:15,160 Speaker 3: the podcast that I do with Matt Towery we do 73 00:04:15,280 --> 00:04:20,560 Speaker 3: every week called Polling Plus, and I talked about this, 74 00:04:20,640 --> 00:04:23,560 Speaker 3: and I think one of the episodes of called Republican Overconfidence. 75 00:04:24,160 --> 00:04:27,480 Speaker 3: I gave a delegation speech at the convention about Republican 76 00:04:27,520 --> 00:04:30,720 Speaker 3: overconfidence and this was, you know, we're still running itast Biden, 77 00:04:31,240 --> 00:04:36,760 Speaker 3: and it was just this idea of the Republicans are 78 00:04:36,800 --> 00:04:42,160 Speaker 3: not focused on making the case for Republican issues because 79 00:04:42,600 --> 00:04:46,120 Speaker 3: they think it seems so obvious that Biden's going to lose. 80 00:04:47,400 --> 00:04:51,279 Speaker 3: And that is what explained the significant difference between the 81 00:04:51,279 --> 00:04:56,440 Speaker 3: Republican between Trump and Biden and down the ticket races, 82 00:04:56,480 --> 00:04:59,560 Speaker 3: because nobody was making the case for the Republican issues 83 00:04:59,560 --> 00:05:03,680 Speaker 3: because it isn't necessary, And now we see how necessary 84 00:05:03,680 --> 00:05:07,279 Speaker 3: it was, because if they just switched candidates and the 85 00:05:07,360 --> 00:05:10,560 Speaker 3: case had been made against the policies, it wouldn't have 86 00:05:10,560 --> 00:05:13,080 Speaker 3: made that much difference. But because they didn't do that, 87 00:05:14,240 --> 00:05:17,839 Speaker 3: they're scrambling. And I think that that is a that 88 00:05:17,960 --> 00:05:23,400 Speaker 3: is a problem, and it's not the campaign. I think 89 00:05:23,480 --> 00:05:25,880 Speaker 3: that I think the Trump campaign is doing a very 90 00:05:25,920 --> 00:05:31,560 Speaker 3: good job. But I cannot say enough nasty things if 91 00:05:31,600 --> 00:05:36,120 Speaker 3: I could, specifically about the outside groups that are soaking 92 00:05:36,160 --> 00:05:39,400 Speaker 3: these billionaires draw and not delivering a real product, if 93 00:05:39,400 --> 00:05:41,120 Speaker 3: a product at all. 94 00:05:41,200 --> 00:05:43,320 Speaker 1: Well, and you know, I've heard the same concerns as 95 00:05:43,360 --> 00:05:46,200 Speaker 1: you did before Biden dropped out. You know, it was 96 00:05:46,279 --> 00:05:48,200 Speaker 1: going on Fox saying, hey, look, we need to make 97 00:05:48,240 --> 00:05:52,919 Speaker 1: a bigger case against Democrat Party policies more broadly, because 98 00:05:53,040 --> 00:05:55,599 Speaker 1: if he drops out, that solves the age question and 99 00:05:55,640 --> 00:05:58,480 Speaker 1: then we're screwed, you know. And so I sure had 100 00:05:58,480 --> 00:06:01,840 Speaker 1: the exact same concern as you did before he dropped out. 101 00:06:01,880 --> 00:06:04,400 Speaker 1: And also just you know, TV was still drumming up 102 00:06:04,440 --> 00:06:07,360 Speaker 1: Biden's age, Biden's age, and it's like, okay, once that's gone, 103 00:06:07,960 --> 00:06:08,720 Speaker 1: you know, what do we have? 104 00:06:08,920 --> 00:06:10,680 Speaker 2: Right? So like, that's. 105 00:06:12,200 --> 00:06:14,720 Speaker 3: Exactly right. And this is one of the reasons that 106 00:06:14,800 --> 00:06:18,920 Speaker 3: I said on Maria Barromo and quite a few other shows, 107 00:06:19,520 --> 00:06:23,039 Speaker 3: I was more wored about Kamala than Biden. I've always 108 00:06:23,040 --> 00:06:28,120 Speaker 3: been more about Kamala than Biden because I knew that. 109 00:06:29,240 --> 00:06:32,920 Speaker 3: First of all. Then I've always been concerned because I 110 00:06:32,960 --> 00:06:35,920 Speaker 3: knew they couldn't skip her. Going back three years ago, 111 00:06:35,960 --> 00:06:39,279 Speaker 3: I said that when you're an identity politics party, you 112 00:06:39,360 --> 00:06:43,120 Speaker 3: cannot abandon this woman when it's her turn, or you 113 00:06:43,120 --> 00:06:46,360 Speaker 3: will lose her demographic. You can't do it. You can't 114 00:06:46,360 --> 00:06:50,920 Speaker 3: play identity politics when it's convenient. But then the night 115 00:06:51,040 --> 00:06:57,480 Speaker 3: of Biden's debate debacle, she came, Kamala came on too, 116 00:06:57,960 --> 00:07:03,279 Speaker 3: MSNBC and CNN, and she was so articulate and she 117 00:07:03,480 --> 00:07:07,320 Speaker 3: was so smooth, and I remember even John King was like, 118 00:07:07,680 --> 00:07:11,000 Speaker 3: where have you been keeping her the last three years? Wow? 119 00:07:11,080 --> 00:07:14,480 Speaker 3: What an effective message? And I was like, Oh, this 120 00:07:14,720 --> 00:07:18,360 Speaker 3: is in, this is in, this is gonna happen. They 121 00:07:18,400 --> 00:07:21,120 Speaker 3: are set in the stage, so I knew it was 122 00:07:21,160 --> 00:07:22,720 Speaker 3: gonna be her. I knew there was going to be 123 00:07:22,720 --> 00:07:26,480 Speaker 3: a media love fest and the Kamala that was kind 124 00:07:26,480 --> 00:07:30,720 Speaker 3: of wandering around I mean sometimes staff does matter, and 125 00:07:30,800 --> 00:07:32,800 Speaker 3: she has some of the best in the business on 126 00:07:32,840 --> 00:07:35,760 Speaker 3: the Democrat side advising her. Now, not the people who 127 00:07:35,800 --> 00:07:38,120 Speaker 3: are advising her. When she was vice president who fronts 128 00:07:38,160 --> 00:07:40,400 Speaker 3: we weren't doing her a very good job because if 129 00:07:40,400 --> 00:07:42,360 Speaker 3: you look at her as a senator, and if you 130 00:07:42,360 --> 00:07:45,360 Speaker 3: look at her and Attorney general, she was much smarter 131 00:07:45,520 --> 00:07:47,880 Speaker 3: than she seemed as vice president. So I was worried 132 00:07:47,880 --> 00:07:49,360 Speaker 3: that the real commrao might come back. 133 00:07:50,720 --> 00:07:55,000 Speaker 1: Well, you know, you were to have those concerns about her. 134 00:07:55,880 --> 00:07:59,560 Speaker 1: You know what's interesting, Robert is Okay, So we were 135 00:07:59,560 --> 00:08:01,680 Speaker 1: told that there would be a honeymoon period. It ended 136 00:08:01,760 --> 00:08:05,480 Speaker 1: up lasting longer than you know, I think anticipated, And 137 00:08:05,520 --> 00:08:08,080 Speaker 1: then it seemed up until the debate that maybe that 138 00:08:08,160 --> 00:08:09,720 Speaker 1: sort of you know, sugar high if you want to 139 00:08:09,760 --> 00:08:13,520 Speaker 1: call it, or the honeymoon period was maybe finally you know, 140 00:08:13,800 --> 00:08:16,320 Speaker 1: on the downgrade that was you know, turning down, that 141 00:08:16,400 --> 00:08:19,280 Speaker 1: was diminishing. But then you know, here she had this 142 00:08:19,320 --> 00:08:22,520 Speaker 1: debate where you know, she performed probably better than expected. 143 00:08:22,640 --> 00:08:25,280 Speaker 1: You know, she rehearsed her lines. Who knew who knows 144 00:08:25,400 --> 00:08:27,520 Speaker 1: if she knew what any of it meant, but you know, 145 00:08:27,600 --> 00:08:30,160 Speaker 1: she rehearsed her line, she came prepared all you had 146 00:08:30,200 --> 00:08:32,680 Speaker 1: something like I think more than sixty seven million people 147 00:08:32,920 --> 00:08:36,400 Speaker 1: who watched. It was one of the most watched debates 148 00:08:36,480 --> 00:08:39,119 Speaker 1: in quite some time, I think something like sixteen years. 149 00:08:40,320 --> 00:08:43,280 Speaker 1: I mean, does that sustain her sugar high? I mean, 150 00:08:43,320 --> 00:08:45,960 Speaker 1: does that put her back on in an upward trajectory? 151 00:08:45,960 --> 00:08:48,160 Speaker 1: I mean, you know, I guess, how do you think 152 00:08:48,160 --> 00:08:52,839 Speaker 1: the debate changes things or does it change things? 153 00:08:53,559 --> 00:08:56,880 Speaker 3: Well, let me give you an example of Matt Tyr 154 00:08:56,960 --> 00:09:01,679 Speaker 3: and I together did an instant poll. And so what 155 00:09:02,760 --> 00:09:08,120 Speaker 3: we did in our poll was we looked at all 156 00:09:08,160 --> 00:09:12,680 Speaker 3: the battlegroum states. We basically contacted people in just those 157 00:09:12,720 --> 00:09:17,560 Speaker 3: states and it was over twenty three hundred people and 158 00:09:17,679 --> 00:09:20,840 Speaker 3: the course of like the last thirty minutes of the 159 00:09:20,840 --> 00:09:23,959 Speaker 3: debate and thirty minutes after, so it was I mean 160 00:09:24,040 --> 00:09:27,840 Speaker 3: a lot, a lot of contact, and we had that. 161 00:09:27,920 --> 00:09:30,120 Speaker 3: It started out we asked where you were before the 162 00:09:30,120 --> 00:09:34,079 Speaker 3: debate began forty seven Trump forty seven, hairs two for 163 00:09:34,240 --> 00:09:38,000 Speaker 3: others for undecided. Then we asked who won the debate, 164 00:09:38,720 --> 00:09:42,320 Speaker 3: and that was Harris fifty five, Trump forty three. It 165 00:09:42,360 --> 00:09:45,560 Speaker 3: was a tie to who are you voting for now? 166 00:09:46,720 --> 00:09:50,320 Speaker 3: And on this one. We try to minimize the undecided 167 00:09:50,360 --> 00:09:52,959 Speaker 3: about saying it the election were held tomorrow and you 168 00:09:53,360 --> 00:09:57,240 Speaker 3: had to decide who would you vote for. In that case, 169 00:09:57,320 --> 00:10:01,200 Speaker 3: it was forty eight Trump, forty eight Harris, one someone 170 00:10:01,240 --> 00:10:07,400 Speaker 3: else and three undecided. So what we showed is lots 171 00:10:07,400 --> 00:10:10,640 Speaker 3: of people who thought Trump lost, who was still for Trump, 172 00:10:11,320 --> 00:10:13,360 Speaker 3: didn't think he won the debate. There's still for him. 173 00:10:14,160 --> 00:10:18,360 Speaker 3: And so as you know, and that and that's us. 174 00:10:18,400 --> 00:10:20,800 Speaker 3: And people say, well that in that discount, that's because 175 00:10:21,000 --> 00:10:25,440 Speaker 3: you know, republicanly whatever, non nonsense. It doesn't matter to 176 00:10:25,480 --> 00:10:28,600 Speaker 3: mention that. You know that we are the number one 177 00:10:28,640 --> 00:10:33,200 Speaker 3: polling firm of the last two presidential cycles, unquestionable, we 178 00:10:33,320 --> 00:10:38,640 Speaker 3: have the lowest arabate of anybody, and these in battlement 179 00:10:38,679 --> 00:10:42,280 Speaker 3: of states. But put that aside. The NN's one focus 180 00:10:42,360 --> 00:10:47,120 Speaker 3: group bought the common one. But it didn't move anything. 181 00:10:48,160 --> 00:10:50,640 Speaker 3: You saw the New York Times article about the people 182 00:10:51,440 --> 00:10:54,520 Speaker 3: and said the pundit says she won, but it did 183 00:10:54,559 --> 00:10:57,679 Speaker 3: not move undecided. I mean, and and and the wroters 184 00:10:57,679 --> 00:11:01,200 Speaker 3: sound the same thing. I mean. So there's this thought 185 00:11:01,679 --> 00:11:06,800 Speaker 3: that she might have performed better, But how did she 186 00:11:06,960 --> 00:11:13,680 Speaker 3: come across, you know, winning and throwing the most barbs 187 00:11:13,720 --> 00:11:17,280 Speaker 3: doesn't necessarily make you popular. I mean, one can of 188 00:11:17,360 --> 00:11:19,400 Speaker 3: argue al Gore won the debates of the Bush, but 189 00:11:19,480 --> 00:11:24,439 Speaker 3: she came out liking Bush better. So there's a likability 190 00:11:24,679 --> 00:11:28,880 Speaker 3: argument that could be said. And I think that if 191 00:11:28,880 --> 00:11:31,520 Speaker 3: you just look that, you're going to see a lot 192 00:11:31,520 --> 00:11:33,840 Speaker 3: of people and I think you're going to find this, 193 00:11:34,080 --> 00:11:39,280 Speaker 3: especially in the blue collar Midwest, who did not come 194 00:11:39,320 --> 00:11:43,880 Speaker 3: across with thinking they liked her better after that debate, 195 00:11:44,720 --> 00:11:47,760 Speaker 3: because the one thing Trump did is he tied her 196 00:11:47,800 --> 00:11:51,040 Speaker 3: to bite and he you know, he says she's Bien. 197 00:11:51,120 --> 00:11:54,120 Speaker 3: And the one moment I thought she seemed the most 198 00:11:54,160 --> 00:11:56,800 Speaker 3: bristle is when she was like, well, I'm not Biden, 199 00:11:58,000 --> 00:12:00,760 Speaker 3: and then she realized what she had done. Well I'm 200 00:12:00,760 --> 00:12:03,240 Speaker 3: not Trump either. I mean, like if you look at 201 00:12:03,320 --> 00:12:05,120 Speaker 3: kind of the thought going through her mind, like what 202 00:12:05,480 --> 00:12:07,439 Speaker 3: now that that could be George argh. She said I'm 203 00:12:07,480 --> 00:12:09,480 Speaker 3: not Trump either, like I'm different, you know, I'm a 204 00:12:09,520 --> 00:12:14,800 Speaker 3: new generator. But it was like she was defensive on that. 205 00:12:15,600 --> 00:12:18,679 Speaker 3: And people know, the moderators will pointing out when they 206 00:12:18,679 --> 00:12:21,360 Speaker 3: thought Trump didn't say something right, even though I'm not 207 00:12:21,440 --> 00:12:23,880 Speaker 3: even sure that the things they pointed out that Trump 208 00:12:23,920 --> 00:12:26,240 Speaker 3: said that they said, we're wrong, We're actually even wrong. 209 00:12:27,400 --> 00:12:29,600 Speaker 3: I mean, everybody's seen the video on the internet of 210 00:12:29,679 --> 00:12:33,120 Speaker 3: the the police officer and the body cam arresting the 211 00:12:33,120 --> 00:12:36,640 Speaker 3: woman who people say was eating on the cat. I mean, 212 00:12:37,120 --> 00:12:39,240 Speaker 3: that isn't made up. That's real. That body cam is 213 00:12:39,280 --> 00:12:43,760 Speaker 3: out there, but I can see it. So now I've 214 00:12:43,760 --> 00:12:46,120 Speaker 3: seen even by a dog. But I mean the fact is, 215 00:12:46,240 --> 00:12:48,760 Speaker 3: some of these there's a lot of crazy stuff going 216 00:12:48,800 --> 00:12:53,400 Speaker 3: on in this town. And there's also I mean a 217 00:12:53,440 --> 00:12:57,640 Speaker 3: lot of voodoo stuff corner and a lot of that 218 00:12:57,679 --> 00:13:03,440 Speaker 3: community now too. So you know fbio statistics, I mean, 219 00:13:04,360 --> 00:13:06,960 Speaker 3: there's a lot of questions about whether they're cooking the books. 220 00:13:07,200 --> 00:13:09,079 Speaker 3: I mean, so there's a lot of things they correct 221 00:13:09,080 --> 00:13:11,680 Speaker 3: to Trump on that may not even be right. So 222 00:13:12,080 --> 00:13:15,080 Speaker 3: it did have the field that the moderators were own 223 00:13:16,440 --> 00:13:20,040 Speaker 3: her side in such a way that you didn't come across. 224 00:13:20,080 --> 00:13:24,360 Speaker 3: I mean, when Trump compliments Dana Bash and Jake Tapper, 225 00:13:25,240 --> 00:13:27,680 Speaker 3: I gotta tell you something like that was a fair debate. 226 00:13:28,160 --> 00:13:30,679 Speaker 3: They didn't get in there. And frankly, I think if 227 00:13:30,679 --> 00:13:33,120 Speaker 3: Trump could get a fair debate, he should do another one. 228 00:13:33,760 --> 00:13:36,440 Speaker 1: That's the challenge is, you know, trying to get a 229 00:13:36,480 --> 00:13:39,319 Speaker 1: fair debate, and you know, just seeing sort of even 230 00:13:39,360 --> 00:13:42,400 Speaker 1: the media research centers, the studies about how the media 231 00:13:42,480 --> 00:13:47,640 Speaker 1: is covered this truncated election cycle, you know, where basically 232 00:13:47,760 --> 00:13:50,360 Speaker 1: she's getting almost one hundred percent positive coverage and you 233 00:13:50,360 --> 00:13:53,640 Speaker 1: know he's getting almost one hundred percent, you know, negative coverage. 234 00:13:53,679 --> 00:13:54,679 Speaker 2: We've got more with Robert. 235 00:13:54,760 --> 00:13:57,160 Speaker 1: But first, as we approached the one year mark of 236 00:13:57,200 --> 00:14:00,920 Speaker 1: the horrific events of October seventh in Israel, the International 237 00:14:01,000 --> 00:14:03,800 Speaker 1: Fellowship of Christians and Jews invites you to join them 238 00:14:04,240 --> 00:14:07,760 Speaker 1: in Flags of Fellowship, an opportunity for Christians to remember 239 00:14:07,800 --> 00:14:11,800 Speaker 1: the victims, honor the heroes, pray for those still held hostage, 240 00:14:12,120 --> 00:14:15,240 Speaker 1: and highlight the unwavering support of Christians for Israel and 241 00:14:15,280 --> 00:14:19,160 Speaker 1: the Jewish people. On October six, thousands of Christians will 242 00:14:19,160 --> 00:14:21,760 Speaker 1: be praying for those impacted by the war and planning 243 00:14:21,800 --> 00:14:24,840 Speaker 1: flags across America to honor the victims of October seventh. 244 00:14:25,560 --> 00:14:28,160 Speaker 1: Join us and letting the world know that Christians stand 245 00:14:28,320 --> 00:14:31,800 Speaker 1: with Israel. Your generous donation today will not only provide 246 00:14:31,840 --> 00:14:35,960 Speaker 1: a flag symbolizing or support in churchyards across America, but 247 00:14:36,080 --> 00:14:39,760 Speaker 1: will also support the Fellowship's ongoing emergency efforts in the 248 00:14:39,760 --> 00:14:43,320 Speaker 1: Holy Land. We cannot stay silent, We cannot stay on 249 00:14:43,360 --> 00:14:47,680 Speaker 1: the sidelines as anti Semitism spreads like wildfire. Israel needs 250 00:14:47,720 --> 00:14:51,840 Speaker 1: you now visit SUPPORTIFCJ dot org to stand in solidarity 251 00:14:51,840 --> 00:14:52,680 Speaker 1: with the Jewish people. 252 00:14:52,880 --> 00:14:58,840 Speaker 2: That's one word. Support IFCJ dot org. Support IFCJ dot org. 253 00:15:02,360 --> 00:15:06,560 Speaker 1: If you would assess where things stand today, you know, 254 00:15:06,600 --> 00:15:10,440 Speaker 1: where does this election stand? Honestly nationally because you know 255 00:15:10,480 --> 00:15:13,680 Speaker 1: obviously that doesn't really matter as much, but in the 256 00:15:13,680 --> 00:15:17,480 Speaker 1: battleground states that are ultimately going to decide the electoral 257 00:15:17,480 --> 00:15:18,240 Speaker 1: College outcome. 258 00:15:18,480 --> 00:15:20,720 Speaker 2: You know where do you think this election stands? 259 00:15:21,920 --> 00:15:24,600 Speaker 3: Well, I'll put it to you this way. We kind 260 00:15:24,600 --> 00:15:27,640 Speaker 3: of went through this on our latest podcast and people 261 00:15:27,680 --> 00:15:30,000 Speaker 3: should check it out polling plus type into polling with 262 00:15:30,040 --> 00:15:32,800 Speaker 3: the first podcast it comes up. But we we talked 263 00:15:32,800 --> 00:15:34,479 Speaker 3: about we're going to do each one of the battleground 264 00:15:34,480 --> 00:15:38,600 Speaker 3: states and uh I did the most recent bowl in Pennsylvania. 265 00:15:39,160 --> 00:15:42,040 Speaker 3: I had Trump up by two and I will tell you, 266 00:15:42,120 --> 00:15:46,360 Speaker 3: in my experience with the Democrat organization on the ground there, 267 00:15:46,400 --> 00:15:52,560 Speaker 3: get out the vote and whatever that entails. Leave that 268 00:15:53,520 --> 00:15:56,600 Speaker 3: out there. I don't think two points is enough to 269 00:15:56,600 --> 00:15:59,240 Speaker 3: win Pennsylvania, think you better be leading it by more 270 00:15:59,280 --> 00:16:01,840 Speaker 3: than two points. So I'd say Pennsylvania is a loss 271 00:16:01,920 --> 00:16:07,080 Speaker 3: right now. Michigan, I think I had it that even 272 00:16:07,240 --> 00:16:12,160 Speaker 3: Matt Twery's last poe had Trump up by one. That 273 00:16:12,400 --> 00:16:16,720 Speaker 3: might be enough, but I think Michigan is only dependent 274 00:16:16,800 --> 00:16:21,280 Speaker 3: on what happens with the Middle East and the guys. 275 00:16:21,320 --> 00:16:25,760 Speaker 3: The thing ate whether the community of Arabs or Muslims, 276 00:16:26,800 --> 00:16:30,280 Speaker 3: and they're actually separate community, not separate communities, but they're different. 277 00:16:31,000 --> 00:16:35,000 Speaker 3: Not every one of the Arabs is a Muslim, but 278 00:16:34,760 --> 00:16:38,760 Speaker 3: there's one group and they feel very strongly about that, 279 00:16:38,960 --> 00:16:41,280 Speaker 3: and depend upon how they feel about Kambala and where 280 00:16:41,320 --> 00:16:46,080 Speaker 3: they participate. Probably the Trump two wins Michigan Wisconsin. My 281 00:16:46,160 --> 00:16:49,560 Speaker 3: mother recent one had Trump up by zero point eight. 282 00:16:50,800 --> 00:16:53,440 Speaker 1: Which is probably the same problem as Pennsylvania, where you've 283 00:16:53,440 --> 00:16:55,000 Speaker 1: got to get above that margin of error. 284 00:16:55,000 --> 00:16:56,640 Speaker 2: If you're going to win a state. 285 00:16:56,480 --> 00:16:59,600 Speaker 3: Like that, I would think you've got to win, you know, 286 00:16:59,640 --> 00:17:07,080 Speaker 3: a little bit better than that. Arizona. Arizona is probably 287 00:17:07,160 --> 00:17:11,080 Speaker 3: one that Trump can win. Uh. The most recent poll 288 00:17:11,119 --> 00:17:13,800 Speaker 3: that Matt did there had I mean, Carry Lake was 289 00:17:13,800 --> 00:17:16,600 Speaker 3: only behind by four uh and Trump was up, So 290 00:17:16,640 --> 00:17:19,120 Speaker 3: I think I think Arizona is one that could be won. 291 00:17:19,960 --> 00:17:23,879 Speaker 3: Nevada I've learned my lesson. I have been had my 292 00:17:23,920 --> 00:17:26,600 Speaker 3: butt keep three times trying to say Nevada is going 293 00:17:26,640 --> 00:17:30,159 Speaker 3: to vote Republican because what they do the Saturday for 294 00:17:30,320 --> 00:17:33,719 Speaker 3: that election, the money before the election, with all the 295 00:17:33,760 --> 00:17:37,119 Speaker 3: early voting, and the buses and the vans and and 296 00:17:36,680 --> 00:17:38,879 Speaker 3: and frankly just good hard work. 297 00:17:39,440 --> 00:17:41,720 Speaker 2: Well it's the Harry Reid turnout machine, right. 298 00:17:42,480 --> 00:17:46,399 Speaker 3: It is fantastic. I mean, I am envious of what 299 00:17:46,440 --> 00:17:49,680 Speaker 3: the Democrats do, so I'm not going to make a call. 300 00:17:49,760 --> 00:17:53,960 Speaker 3: I don't care how good it looks Republicans Georgia. I 301 00:17:54,000 --> 00:17:57,000 Speaker 3: think George is possible. They've got a lot of things 302 00:17:57,040 --> 00:17:59,560 Speaker 3: to tighten things up and George, they haven't addressed be 303 00:17:59,680 --> 00:18:03,600 Speaker 3: seen biggest problem in Georgia, which is what had people 304 00:18:03,680 --> 00:18:07,880 Speaker 3: watching video of ballot boxes being stuffed and being told 305 00:18:07,920 --> 00:18:10,280 Speaker 3: it was fair. What they don't understand was, here's the 306 00:18:10,280 --> 00:18:15,199 Speaker 3: problem to the law. If somebody cast fifty ballots and 307 00:18:15,280 --> 00:18:18,800 Speaker 3: forty nine are illegal, they're guilty of forty nine counts 308 00:18:18,800 --> 00:18:23,000 Speaker 3: of voter fraud. However, all fifty ballots are to be counted. 309 00:18:23,840 --> 00:18:26,800 Speaker 3: That is a flaw in the law. And that is 310 00:18:26,840 --> 00:18:29,920 Speaker 3: why you saw the video you did, and yet those 311 00:18:29,920 --> 00:18:33,120 Speaker 3: weren't illegal balance and they have not fixed that. Now 312 00:18:33,200 --> 00:18:36,919 Speaker 3: bringing those ballot boxes inside and their all film, if 313 00:18:36,920 --> 00:18:40,760 Speaker 3: people know their own film, I think will limit it. 314 00:18:41,520 --> 00:18:44,159 Speaker 3: But that's a real problem and that really should be 315 00:18:44,160 --> 00:18:45,720 Speaker 3: addressed by the law. They ought to be able to 316 00:18:45,720 --> 00:18:48,480 Speaker 3: go in there when they see that and try to 317 00:18:48,520 --> 00:18:52,919 Speaker 3: isolate those those ballots, whether it's fingerprints or whatever. But 318 00:18:52,960 --> 00:18:54,560 Speaker 3: if you notice some of those videos, they are wearing 319 00:18:54,640 --> 00:18:57,600 Speaker 3: rubber gloves. I mean, they were worried they were going 320 00:18:57,640 --> 00:19:00,680 Speaker 3: to do that. So that's a real problem, and I'm 321 00:19:00,720 --> 00:19:04,040 Speaker 3: not sure how they handle that, but they have to 322 00:19:04,080 --> 00:19:06,720 Speaker 3: do something because it just it's an issue. But I 323 00:19:06,760 --> 00:19:09,560 Speaker 3: still think Georgia can be one. And I've never been 324 00:19:09,600 --> 00:19:15,359 Speaker 3: a believer that North Carolina is going to go Democrat. 325 00:19:15,800 --> 00:19:20,280 Speaker 3: I mean North Carolina has traditionally had I mean they've 326 00:19:20,520 --> 00:19:26,640 Speaker 3: Republican everything, even twenty twenty two they said legislative high 327 00:19:26,680 --> 00:19:29,960 Speaker 3: water marsh for both the House and the Senate in 328 00:19:30,000 --> 00:19:34,199 Speaker 3: North Carolina got super majorities in twenty twenty two, and 329 00:19:34,240 --> 00:19:38,440 Speaker 3: they will every Senate seat. Every state went office except governor, 330 00:19:38,880 --> 00:19:41,199 Speaker 3: and in the past the past two gumatrolection. They just 331 00:19:41,240 --> 00:19:45,159 Speaker 3: had bad candidates, and so even if the candidate for 332 00:19:45,200 --> 00:19:48,639 Speaker 3: governor doesn't win, that doesn't mean the state just defaults 333 00:19:48,680 --> 00:19:51,959 Speaker 3: to D. So I think North Calaina is going to 334 00:19:52,000 --> 00:19:57,600 Speaker 3: go for Trump, and at that point there's got to 335 00:19:57,640 --> 00:20:00,840 Speaker 3: be one. And so it really right now, if I 336 00:20:00,880 --> 00:20:03,800 Speaker 3: had to save the election today, i'd say it to hers. 337 00:20:03,640 --> 00:20:05,360 Speaker 1: Yeah, because what you just laid out does not get 338 00:20:05,359 --> 00:20:06,959 Speaker 1: them to two seventy's. 339 00:20:07,720 --> 00:20:13,879 Speaker 3: Yeah, but what what I mean? And we hear stuff 340 00:20:13,880 --> 00:20:18,359 Speaker 3: all the time about the level of organization. The Democrats 341 00:20:18,920 --> 00:20:22,560 Speaker 3: are very good at this, and they don't just talk it, 342 00:20:22,680 --> 00:20:25,919 Speaker 3: and they don't just put crappy, you know, computer programs 343 00:20:25,960 --> 00:20:29,840 Speaker 3: on their phones. They have people on the ground, like 344 00:20:29,920 --> 00:20:34,080 Speaker 3: a thousand paid operatives in Georgia for the Republican versus 345 00:20:34,160 --> 00:20:37,480 Speaker 3: Democrat runoffs for Senate when they were both up. I mean, 346 00:20:37,520 --> 00:20:41,159 Speaker 3: like that's incredible. In the Atlanta airport, like kids wearing 347 00:20:41,200 --> 00:20:45,440 Speaker 3: colored shirts gathering up at the airport, all coming in. 348 00:20:46,560 --> 00:20:50,280 Speaker 3: I mean, one of a map ran to someone organizing 349 00:20:50,400 --> 00:20:53,639 Speaker 3: on Christmas Eve in a hotel conference room when they 350 00:20:53,640 --> 00:20:56,160 Speaker 3: were going to have dinner at a hotel. I mean, 351 00:20:56,200 --> 00:20:58,240 Speaker 3: this is the this is the kind of dedication they have, 352 00:20:59,359 --> 00:21:02,800 Speaker 3: and so I don't see anything on the Republican side 353 00:21:02,800 --> 00:21:06,360 Speaker 3: to equal that level of grassroots. And part of it 354 00:21:06,400 --> 00:21:10,560 Speaker 3: is the Republican Party's real problem is a bunch of 355 00:21:10,640 --> 00:21:13,679 Speaker 3: donor money that goes to people who squandered. There's not 356 00:21:13,760 --> 00:21:18,440 Speaker 3: a profit big profit margin to make about organizing grassroots. 357 00:21:18,760 --> 00:21:21,439 Speaker 3: No vendor gets rich doing it. But it's the single 358 00:21:21,440 --> 00:21:24,800 Speaker 3: most important thing that can be done. And that's that's 359 00:21:24,960 --> 00:21:29,399 Speaker 3: that's literally what people who know the system worry about 360 00:21:29,960 --> 00:21:33,560 Speaker 3: is there's so much profitteering on the Republican side and 361 00:21:33,600 --> 00:21:34,760 Speaker 3: not of attention to winning. 362 00:21:37,359 --> 00:21:44,480 Speaker 1: No, that's that's uh, obviously a huge concern. You know, 363 00:21:44,680 --> 00:21:46,920 Speaker 1: you look at some of the fundamentals of this race 364 00:21:47,000 --> 00:21:48,800 Speaker 1: in the sense of, you know, the economy is the 365 00:21:48,880 --> 00:21:50,960 Speaker 1: number one issue, that's the issue that you know he 366 00:21:51,040 --> 00:21:54,560 Speaker 1: does the best on, you know, even uh, even after 367 00:21:54,600 --> 00:21:57,879 Speaker 1: the election. You know, CNN's own poll found that, you know, 368 00:21:58,359 --> 00:22:01,159 Speaker 1: we're the confidence and have him on the issue of 369 00:22:01,200 --> 00:22:05,719 Speaker 1: economy increased after the debate. And then you look at 370 00:22:05,720 --> 00:22:08,280 Speaker 1: the other issue of you know, the New York Times 371 00:22:08,359 --> 00:22:10,840 Speaker 1: finding that you know, sixty one percent of Americans want 372 00:22:10,880 --> 00:22:14,000 Speaker 1: major change from President Biden. You know, the majority obviously 373 00:22:14,040 --> 00:22:19,280 Speaker 1: see him as the change. Is that enough to you know, 374 00:22:19,480 --> 00:22:22,000 Speaker 1: try to push him closer to two seventy as we 375 00:22:22,200 --> 00:22:23,960 Speaker 1: kind of you know, I know you said the race 376 00:22:24,000 --> 00:22:25,440 Speaker 1: today is probably hers. 377 00:22:26,800 --> 00:22:28,920 Speaker 2: Or what does he need to do? Do you think? 378 00:22:29,960 --> 00:22:33,399 Speaker 3: Well? I think he needs to do. The campaign is 379 00:22:33,440 --> 00:22:36,840 Speaker 3: the one thing that I think has been operated very well. 380 00:22:37,920 --> 00:22:41,679 Speaker 3: I mean, whether it's their ads, of their strategy, or 381 00:22:41,720 --> 00:22:43,960 Speaker 3: the towns that they can do their rallies. I mean, 382 00:22:45,000 --> 00:22:49,640 Speaker 3: they're doing their job extremely well, and I think they 383 00:22:49,720 --> 00:22:52,320 Speaker 3: just need to keep on doing what they're doing. The 384 00:22:52,320 --> 00:22:57,720 Speaker 3: other thing to remember is the social desirability bias, the 385 00:22:57,760 --> 00:23:00,120 Speaker 3: thing that we were very good at predicting in twenty 386 00:23:00,160 --> 00:23:03,720 Speaker 3: sixteen of what the difference between what people said and 387 00:23:03,760 --> 00:23:07,400 Speaker 3: who they're really voting for. You know, some people call 388 00:23:07,480 --> 00:23:09,560 Speaker 3: that the Bradley effect, and that goes back to a 389 00:23:09,680 --> 00:23:15,600 Speaker 3: race apparently with governor candidate named Duke Magian and a 390 00:23:15,680 --> 00:23:18,399 Speaker 3: candidate named Bradley. He was the mayor of Los Angeles, 391 00:23:18,640 --> 00:23:21,159 Speaker 3: and all the Poles said Bradley would win because people 392 00:23:21,680 --> 00:23:24,800 Speaker 3: wanted to say they were voting for the African American 393 00:23:24,840 --> 00:23:28,199 Speaker 3: candidate because it made them look more open minded, but 394 00:23:28,240 --> 00:23:31,480 Speaker 3: they actually voted for Dick Magian. So when you consider 395 00:23:31,520 --> 00:23:33,439 Speaker 3: their people who don't want to say they're voting for 396 00:23:33,480 --> 00:23:37,360 Speaker 3: Trump alone, and then the fact that they're people who 397 00:23:37,359 --> 00:23:40,080 Speaker 3: are saying their voting for Kamala who don't intend to, 398 00:23:40,680 --> 00:23:47,040 Speaker 3: there could be a double social desirability bias going on. 399 00:23:47,480 --> 00:23:51,720 Speaker 3: So I will hold out the possibility that Trump might 400 00:23:51,800 --> 00:23:54,800 Speaker 3: have an advantage in these states that is not seen 401 00:23:54,920 --> 00:23:58,120 Speaker 3: right now. But I think that everyone should act as 402 00:23:58,160 --> 00:24:01,199 Speaker 3: if he's going to lose right now and redouble their 403 00:24:01,240 --> 00:24:06,280 Speaker 3: efforts because it's on the cusp and the energy is there, 404 00:24:06,359 --> 00:24:08,560 Speaker 3: and the real people who want this, I mean, look 405 00:24:08,600 --> 00:24:11,280 Speaker 3: at the reaction they got going through the Shanks Billed 406 00:24:11,320 --> 00:24:16,000 Speaker 3: fire Department. I mean, those are real people, you know, 407 00:24:16,080 --> 00:24:19,680 Speaker 3: those are those are just real Americans and not any 408 00:24:19,720 --> 00:24:25,440 Speaker 3: particular racial, you know, ethnic, They're just real Americans, firefighters, 409 00:24:25,480 --> 00:24:28,480 Speaker 3: and they know who the real guy is. They know 410 00:24:28,480 --> 00:24:30,480 Speaker 3: who the real person looking out for them is. So 411 00:24:31,160 --> 00:24:35,040 Speaker 3: I mean, I do have hope and confidence that there 412 00:24:35,080 --> 00:24:38,040 Speaker 3: may still be a hidden vote out there that we're 413 00:24:38,080 --> 00:24:41,440 Speaker 3: not seeing. But I do think that she she came 414 00:24:41,480 --> 00:24:45,760 Speaker 3: across as a little bit argumentative and a little bit snarky, 415 00:24:46,960 --> 00:24:50,000 Speaker 3: and he made a couple really good points I said 416 00:24:50,040 --> 00:24:53,439 Speaker 3: before the one whe he talked about he compared her 417 00:24:53,520 --> 00:24:56,199 Speaker 3: to Biden. And then what he said, Well, if you 418 00:24:56,200 --> 00:24:57,720 Speaker 3: really want to do this, why don't you just go 419 00:24:57,840 --> 00:25:01,760 Speaker 3: down to Washington and get him to sign the stuff 420 00:25:01,760 --> 00:25:04,680 Speaker 3: he needs to sign to close the board. I mean 421 00:25:04,720 --> 00:25:07,720 Speaker 3: that resonated people like you gotna matter, do it, don't 422 00:25:07,720 --> 00:25:11,840 Speaker 3: talk about it, you can get this done today. And 423 00:25:13,280 --> 00:25:15,359 Speaker 3: you know that's some of the feedback we got that 424 00:25:15,359 --> 00:25:19,040 Speaker 3: that meant something. So I think he I think he 425 00:25:19,160 --> 00:25:21,000 Speaker 3: might not have had the best night, but I think 426 00:25:21,040 --> 00:25:24,280 Speaker 3: he landed a few little singers that that that will 427 00:25:24,480 --> 00:25:27,040 Speaker 3: end up standing the test of time. 428 00:25:28,800 --> 00:25:31,560 Speaker 1: You also look at some of these voter registration numbers, 429 00:25:31,600 --> 00:25:34,919 Speaker 1: and you know, Republicans are you know, at least winning 430 00:25:35,160 --> 00:25:38,120 Speaker 1: on that game in a lot of these states, especially 431 00:25:38,119 --> 00:25:42,920 Speaker 1: when you look at Pennsylvania for instance. Does that maybe 432 00:25:42,960 --> 00:25:45,679 Speaker 1: speak to the fact that there might be you know, 433 00:25:45,880 --> 00:25:49,480 Speaker 1: sort of headen Trump supporters or new voters that you 434 00:25:49,520 --> 00:25:54,199 Speaker 1: know are obviously harder to identify for for Polsters. 435 00:25:54,240 --> 00:25:57,240 Speaker 3: It does. But I will tell you the and we've 436 00:25:57,240 --> 00:26:00,359 Speaker 3: always thought this was coming, but I think the Taylor 437 00:26:00,400 --> 00:26:03,720 Speaker 3: Swift effect, I mean is going to be is going 438 00:26:03,800 --> 00:26:06,760 Speaker 3: to be strong I mean, I'm worried about when Taylor 439 00:26:06,760 --> 00:26:10,800 Speaker 3: Swift just asks all of for people. What if she 440 00:26:10,840 --> 00:26:12,520 Speaker 3: throws a free concert and all you got to do 441 00:26:12,640 --> 00:26:15,240 Speaker 3: is give money to buy I mean to give money 442 00:26:15,280 --> 00:26:17,840 Speaker 3: to a Kamala to go. She could do something like 443 00:26:17,840 --> 00:26:21,080 Speaker 3: an online concert and you have to give money to 444 00:26:21,119 --> 00:26:23,480 Speaker 3: them to be able to log in here. I mean, 445 00:26:23,480 --> 00:26:26,040 Speaker 3: who knows what she could do, but I think they 446 00:26:26,040 --> 00:26:28,000 Speaker 3: could raise a bunch of money, and I think they 447 00:26:28,000 --> 00:26:31,920 Speaker 3: could get a bunch of young ladies that the last 448 00:26:31,920 --> 00:26:35,200 Speaker 3: thing on their mind was voting, kind of gen zs 449 00:26:35,240 --> 00:26:38,240 Speaker 3: who were just not live there yet and engage them. 450 00:26:38,920 --> 00:26:42,840 Speaker 3: But I can say is so far, what we've seen 451 00:26:42,920 --> 00:26:46,639 Speaker 3: is is gen Z boys are not big on on 452 00:26:48,400 --> 00:26:52,160 Speaker 3: this whole Swift thing. And I do see a real 453 00:26:52,280 --> 00:26:55,960 Speaker 3: ethnic divide on the fans of Taylor Swift. So there 454 00:26:56,000 --> 00:26:59,879 Speaker 3: may be there may be there may be some wash 455 00:27:00,080 --> 00:27:04,040 Speaker 3: fact on that some some people who were our less 456 00:27:04,200 --> 00:27:05,200 Speaker 3: likely to go that way. 457 00:27:06,520 --> 00:27:09,640 Speaker 1: We've also seen, you know, a big gender gap between 458 00:27:09,800 --> 00:27:16,359 Speaker 1: the two candidates, where so I mean, you know, women 459 00:27:16,400 --> 00:27:19,919 Speaker 1: do tend to vote more than men, but you know, 460 00:27:20,280 --> 00:27:23,080 Speaker 1: how significant is that gender gap and you know kind 461 00:27:23,119 --> 00:27:25,440 Speaker 1: of how does that play in certain of each candidate's 462 00:27:25,480 --> 00:27:27,200 Speaker 1: favor or against them as well. 463 00:27:28,320 --> 00:27:32,119 Speaker 3: Well. The gender gap is biggest at the youngest, and 464 00:27:32,200 --> 00:27:36,199 Speaker 3: it works. The weapon dissipates. Uh. Gen Z has the 465 00:27:36,240 --> 00:27:39,800 Speaker 3: biggest gender gap of all. I mean, it is it 466 00:27:39,880 --> 00:27:43,840 Speaker 3: is just dark. Gen Z mails are very different than 467 00:27:43,880 --> 00:27:48,800 Speaker 3: millennial males. Gen Z mails are looking for. There's been 468 00:27:48,920 --> 00:27:51,800 Speaker 3: so much confusion about what it means to be a 469 00:27:51,800 --> 00:27:55,680 Speaker 3: man in this world, and you know, all these phrases 470 00:27:55,760 --> 00:27:59,000 Speaker 3: like toxic masculinity and stuff like that. I mean, they 471 00:27:59,440 --> 00:28:04,520 Speaker 3: are looking toward towards, you know, a man's man kind 472 00:28:04,520 --> 00:28:08,400 Speaker 3: of like Trump. They I mean they are. It's part 473 00:28:08,440 --> 00:28:10,960 Speaker 3: of why there's such a huge growth and some even 474 00:28:11,000 --> 00:28:14,960 Speaker 3: the the more violent uh you know, fighting sports. I mean, 475 00:28:15,680 --> 00:28:20,320 Speaker 3: this group is looking to kind of recapture manhood and 476 00:28:20,400 --> 00:28:22,840 Speaker 3: so they see a lot of that in Trump, and 477 00:28:22,880 --> 00:28:27,199 Speaker 3: so that is where a lot of it's focused. And 478 00:28:27,840 --> 00:28:32,399 Speaker 3: the older we see the people, the less it is 479 00:28:32,440 --> 00:28:36,439 Speaker 3: a huge gender gap because what we found is a 480 00:28:36,480 --> 00:28:40,760 Speaker 3: lot of for example, married women who have a few children, 481 00:28:41,280 --> 00:28:46,480 Speaker 3: they become a lot less focused on abortion and the 482 00:28:46,560 --> 00:28:51,120 Speaker 3: right to have an abortion than some of their younger counterparts. 483 00:28:51,880 --> 00:28:54,959 Speaker 3: And so it's it is, it is, it is a 484 00:28:55,080 --> 00:28:58,959 Speaker 3: significant gender gap. I don't know that it is solvable 485 00:28:59,240 --> 00:29:03,760 Speaker 3: at this point with what's baked in, but I do 486 00:29:03,840 --> 00:29:10,520 Speaker 3: think that it is useful for motivating the people on 487 00:29:10,680 --> 00:29:14,960 Speaker 3: either side because what I would tell you is the 488 00:29:14,720 --> 00:29:18,640 Speaker 3: the females are better voters, and so it's the challenge 489 00:29:18,680 --> 00:29:23,120 Speaker 3: of the Republicans to get their male counterparts to show 490 00:29:23,200 --> 00:29:25,280 Speaker 3: up in that kind of number as well. And I 491 00:29:25,360 --> 00:29:28,440 Speaker 3: think it's really possible, and we can see that gap. 492 00:29:28,760 --> 00:29:31,960 Speaker 3: And the younger Black community there's a significant gender gap 493 00:29:32,040 --> 00:29:34,960 Speaker 3: with them too. I mean, most of the strength that 494 00:29:35,000 --> 00:29:40,040 Speaker 3: Trump has with with black voters is black males underpicked. 495 00:29:39,840 --> 00:29:43,040 Speaker 1: Obviously very concerned about her being the president. 496 00:29:43,400 --> 00:29:45,200 Speaker 2: You know, our country would be screwed. 497 00:29:45,720 --> 00:29:47,720 Speaker 1: We've got to take a quick commercial break. More with 498 00:29:47,800 --> 00:29:53,080 Speaker 1: Robert on the other side, it looks like Republicans at 499 00:29:53,080 --> 00:29:55,400 Speaker 1: the very least are on track to win the Senate. 500 00:29:56,800 --> 00:29:58,800 Speaker 1: You know, kind of what have you seen in sort 501 00:29:58,800 --> 00:30:01,760 Speaker 1: of the Senate lands escape in terms of Republicans trying 502 00:30:01,760 --> 00:30:03,600 Speaker 1: to take back the Senate, And then you know, sort 503 00:30:03,640 --> 00:30:06,040 Speaker 1: of what are you saying for the House races and 504 00:30:06,280 --> 00:30:08,440 Speaker 1: Republicans trying to retain the majority in the House. 505 00:30:08,920 --> 00:30:10,960 Speaker 3: I've said for a while I think the House is 506 00:30:11,000 --> 00:30:12,960 Speaker 3: going to go the way the President's race is going 507 00:30:13,000 --> 00:30:17,120 Speaker 3: to go. It's just that tight. Whichever way has the momentum. 508 00:30:17,320 --> 00:30:19,760 Speaker 3: I think the Senate's going to the Republicans. I would 509 00:30:19,800 --> 00:30:23,120 Speaker 3: say the next best shot, especially if Trump does a 510 00:30:23,160 --> 00:30:27,400 Speaker 3: really good job as McCormick. McCormick has run a fantastic campaign. 511 00:30:28,640 --> 00:30:30,880 Speaker 3: He's just done. He's just kind of hit all on 512 00:30:30,960 --> 00:30:34,360 Speaker 3: all cylinders, and I think that is a chance to 513 00:30:34,400 --> 00:30:40,959 Speaker 3: win one. I think that Rogers, if that little age 514 00:30:41,000 --> 00:30:45,200 Speaker 3: that Trump can gather in Michigan can be gathered, Rogers 515 00:30:45,200 --> 00:30:52,560 Speaker 3: could become up across and depending on how strong immigration plays, 516 00:30:53,080 --> 00:30:55,960 Speaker 3: and I think it's going to play big in Arizona, 517 00:30:56,240 --> 00:30:59,000 Speaker 3: I could see I see carry Lake. I mean four 518 00:30:59,040 --> 00:31:04,200 Speaker 3: points back is not not that far back. And I 519 00:31:04,200 --> 00:31:10,120 Speaker 3: think in that state, just on the issue of immigration 520 00:31:10,840 --> 00:31:14,479 Speaker 3: and the strong status of immigration, could that could make 521 00:31:14,520 --> 00:31:18,320 Speaker 3: a difference, you know, And I would love to tell 522 00:31:18,320 --> 00:31:21,000 Speaker 3: you that Sharon Brown could lose. But the problem is 523 00:31:21,000 --> 00:31:25,880 Speaker 3: is there's just not any kind of equality in the spending. 524 00:31:26,640 --> 00:31:28,920 Speaker 3: And you know, I worried that some of the same 525 00:31:28,960 --> 00:31:33,000 Speaker 3: old Mitch McConnell crowd is the one spending that the 526 00:31:33,040 --> 00:31:36,440 Speaker 3: pack money again this year, and they were very ineffective 527 00:31:36,520 --> 00:31:39,160 Speaker 3: last year. I mean, they blew two hundred and fifty 528 00:31:39,160 --> 00:31:42,520 Speaker 3: million dollars to win one Senate seat, and it was 529 00:31:42,640 --> 00:31:45,680 Speaker 3: ridiculous some of the support that didn't. I mean, when 530 00:31:45,720 --> 00:31:49,280 Speaker 3: you look at how little Blake Masters got, it was insane, 531 00:31:49,360 --> 00:31:51,320 Speaker 3: just because Blake said he wasn't going to vote McConnell, 532 00:31:51,360 --> 00:31:54,400 Speaker 3: and then all of a sudden he's just isolated and 533 00:31:54,520 --> 00:31:56,640 Speaker 3: a lot of money was raised with the promise it 534 00:31:56,720 --> 00:31:58,880 Speaker 3: was going to go to Senate races that were on 535 00:31:58,920 --> 00:32:04,840 Speaker 3: the cusp dog I handed Lisa Murkowski, who had she lost, 536 00:32:05,160 --> 00:32:07,600 Speaker 3: would have only lost to someone more conservative to her 537 00:32:07,800 --> 00:32:11,960 Speaker 3: than her. So and that was McConnell. Pay him back 538 00:32:12,120 --> 00:32:15,120 Speaker 3: a favor, but he put a lot of donor money 539 00:32:15,120 --> 00:32:19,240 Speaker 3: that was supposed to go other places for mccowski. I 540 00:32:19,240 --> 00:32:21,440 Speaker 3: would like to believe that there's a better effort this year, 541 00:32:21,480 --> 00:32:24,400 Speaker 3: but I don't I so. 542 00:32:24,640 --> 00:32:28,680 Speaker 1: In my opinion, Pennsylvania is the most important state the 543 00:32:28,720 --> 00:32:30,000 Speaker 1: selection cycle. 544 00:32:31,240 --> 00:32:31,440 Speaker 3: Becau. 545 00:32:31,440 --> 00:32:35,000 Speaker 1: As he pointed out in the Vadis Finiki, I think Pennsylvania, 546 00:32:35,040 --> 00:32:38,360 Speaker 1: with her fracking issue, Trump has the most fertile ground 547 00:32:38,760 --> 00:32:40,600 Speaker 1: to try to make his case to the state and 548 00:32:40,640 --> 00:32:43,480 Speaker 1: then in pulling thus far, that's been the state out 549 00:32:43,520 --> 00:32:47,240 Speaker 1: of the you know, the three blue Wall states that 550 00:32:47,280 --> 00:32:48,320 Speaker 1: he's been pulling the best in. 551 00:32:49,400 --> 00:32:51,880 Speaker 2: Is that a fair assessment or you know, I think 552 00:32:51,960 --> 00:32:52,280 Speaker 2: so too. 553 00:32:52,600 --> 00:32:55,920 Speaker 3: I think so. Now it's also the state that has, 554 00:32:56,560 --> 00:33:00,320 Speaker 3: let's just say the most Shenanians. Yeah, I'm both three, 555 00:33:00,560 --> 00:33:05,160 Speaker 3: but I think that it's a state that could break 556 00:33:06,120 --> 00:33:09,959 Speaker 3: strongly for him because that is probably there's probably some 557 00:33:10,040 --> 00:33:14,040 Speaker 3: buyers remorse. And the thing is, I think the switch 558 00:33:14,080 --> 00:33:20,320 Speaker 3: to Kamala really made Arizona, Nevada, and Georgia more competitive. 559 00:33:20,440 --> 00:33:25,880 Speaker 3: I'm not sure that switch made Pennsylvania more competitive because 560 00:33:26,040 --> 00:33:28,400 Speaker 3: she doesn't have the same appeal to those blue collar 561 00:33:28,520 --> 00:33:31,840 Speaker 3: voters that Biden did. I mean, he could generally say 562 00:33:32,240 --> 00:33:37,200 Speaker 3: I am one of you and relate to them. I 563 00:33:37,240 --> 00:33:39,400 Speaker 3: mean even look look at the peer pressure when they 564 00:33:39,400 --> 00:33:41,320 Speaker 3: were all just giving him a hard time of wearing 565 00:33:41,360 --> 00:33:44,240 Speaker 3: the Trump hat. I mean, he wants that crowd to 566 00:33:44,520 --> 00:33:49,760 Speaker 3: like him, and he sees that as his crowd. Where's that? 567 00:33:50,200 --> 00:33:53,880 Speaker 3: I mean, that's just it's just Biden has always seen 568 00:33:53,960 --> 00:33:56,280 Speaker 3: himself as one of those people who could relate to 569 00:33:56,280 --> 00:34:00,440 Speaker 3: those people who told stories that made sense to them 570 00:34:00,920 --> 00:34:03,480 Speaker 3: about how he grew up and how tough things were. 571 00:34:03,560 --> 00:34:09,360 Speaker 3: So I just don't think she has that appeal and walls. 572 00:34:11,520 --> 00:34:15,640 Speaker 3: He's not going to come across like a regular Midwestern guy. 573 00:34:15,719 --> 00:34:19,279 Speaker 3: He's just not regulars Western guys don't don't go to 574 00:34:19,400 --> 00:34:22,680 Speaker 3: China that much and do some of the stuff he's 575 00:34:22,719 --> 00:34:25,640 Speaker 3: done and take some of the stands he's had. So 576 00:34:25,840 --> 00:34:27,040 Speaker 3: I think we also. 577 00:34:26,840 --> 00:34:28,800 Speaker 2: Wanted to put tampons in the boys bathroom. 578 00:34:28,880 --> 00:34:33,080 Speaker 1: So it's like, you know, it's I think, you know, 579 00:34:33,200 --> 00:34:36,480 Speaker 1: men are you know that's that doesn't really resonate, you know, 580 00:34:36,760 --> 00:34:38,600 Speaker 1: or with all the people that doesn't resonate. 581 00:34:39,560 --> 00:34:41,840 Speaker 3: Certainly, he's going to get the vote of every janitor 582 00:34:42,800 --> 00:34:46,840 Speaker 3: because he wants to clean all that up because boys, listen, 583 00:34:46,880 --> 00:34:48,520 Speaker 3: I can I can tell you what would have happened 584 00:34:48,560 --> 00:34:52,280 Speaker 3: in my school tampons. They would have been very clever 585 00:34:52,360 --> 00:34:56,440 Speaker 3: with the art that would have been made in that bathroom. Yeah, yeah, 586 00:34:56,480 --> 00:35:01,719 Speaker 3: that's that's that's so Jender vote locked down. So I 587 00:35:01,719 --> 00:35:03,920 Speaker 3: think that I think you're right, and I think some 588 00:35:03,960 --> 00:35:07,360 Speaker 3: of those issues just will start to resonate. And what 589 00:35:07,440 --> 00:35:10,960 Speaker 3: I've seen with some of the these young people are 590 00:35:11,000 --> 00:35:13,200 Speaker 3: so some of the memes and stuff they've done, or 591 00:35:13,760 --> 00:35:16,800 Speaker 3: are just they dig in so far that people don't 592 00:35:16,880 --> 00:35:21,480 Speaker 3: understand how effective that stuff is. I mean, in many ways, 593 00:35:22,560 --> 00:35:26,560 Speaker 3: with the built in drifting and corruption of the Republican establishment, 594 00:35:27,320 --> 00:35:31,320 Speaker 3: the reason we may survive this election is that the 595 00:35:31,480 --> 00:35:37,160 Speaker 3: one to one Republicans out there who find something that's funny, 596 00:35:37,160 --> 00:35:40,480 Speaker 3: that's poignant, that that will send a message to somebody 597 00:35:40,800 --> 00:35:45,960 Speaker 3: who literally share that repost. That there's millions of people 598 00:35:46,040 --> 00:35:48,239 Speaker 3: doing that, and I think that they may be the 599 00:35:48,360 --> 00:35:52,719 Speaker 3: secret to the success if it happens well. 600 00:35:52,760 --> 00:35:54,400 Speaker 1: And also, you know, I think you know, some of 601 00:35:54,440 --> 00:35:59,160 Speaker 1: these interviews with you know, podcasters, uh, you know, you 602 00:35:59,480 --> 00:36:03,839 Speaker 1: you're you know, it's you know, I think what's challenging is, 603 00:36:05,040 --> 00:36:07,200 Speaker 1: I mean, the media might end up being the difference 604 00:36:07,239 --> 00:36:11,880 Speaker 1: makers the selection cycle in the sense of, you know, 605 00:36:11,880 --> 00:36:14,279 Speaker 1: if you're Donald Trump, it's just and especially with the 606 00:36:14,320 --> 00:36:17,719 Speaker 1: kind of money that she's been raising, it's very, very 607 00:36:17,760 --> 00:36:20,480 Speaker 1: hard to get your message across to the American people 608 00:36:21,280 --> 00:36:24,719 Speaker 1: when you're met with you know, that much resistance in 609 00:36:24,760 --> 00:36:27,200 Speaker 1: the form of almost you know, like ninety three percent 610 00:36:27,280 --> 00:36:30,839 Speaker 1: negative coverage, or you know, with ABC ALAN or you know, 611 00:36:30,960 --> 00:36:34,279 Speaker 1: the media at large. The Media Research Center eighty nine 612 00:36:34,320 --> 00:36:38,719 Speaker 1: percent negative coverage and her, you know, the complete inverse. 613 00:36:38,400 --> 00:36:39,280 Speaker 2: Where it's all positive. 614 00:36:39,320 --> 00:36:41,279 Speaker 1: I mean that's like it's a very very hard wall 615 00:36:41,840 --> 00:36:43,920 Speaker 1: to break through and get your message across to the 616 00:36:43,960 --> 00:36:44,720 Speaker 1: American people. 617 00:36:45,880 --> 00:36:47,879 Speaker 3: Oh, the good news is less and less people are 618 00:36:47,920 --> 00:36:50,759 Speaker 3: watching that media. Yeah, it's all time low. I mean 619 00:36:50,800 --> 00:36:53,879 Speaker 3: this connected TV and people just watching what they want 620 00:36:53,920 --> 00:37:00,239 Speaker 3: to watch, and paid services offer a real effective way. Now, 621 00:37:00,239 --> 00:37:05,080 Speaker 3: don't get me wrong, Kamala Harris. Uh. You know, whether 622 00:37:05,120 --> 00:37:07,799 Speaker 3: I'm at my place in South Carolina that shares the 623 00:37:07,840 --> 00:37:12,120 Speaker 3: North Carolna media market the Asheville media market, or when 624 00:37:12,120 --> 00:37:14,840 Speaker 3: I'm at my place in Georgia, I see the ads 625 00:37:15,520 --> 00:37:18,800 Speaker 3: and I see the tarketing, and he is all over 626 00:37:19,280 --> 00:37:22,600 Speaker 3: digital in a way that I do not see anybody 627 00:37:22,600 --> 00:37:25,919 Speaker 3: in the Trump team. I mean you can't. You can 628 00:37:25,960 --> 00:37:29,520 Speaker 3: go watch YouTube videos about Republicans and all the ads 629 00:37:29,520 --> 00:37:32,040 Speaker 3: will be hers. If it's about politics at all, you'll 630 00:37:32,040 --> 00:37:34,840 Speaker 3: see all of her. You'll see her ads on YouTube 631 00:37:35,320 --> 00:37:38,000 Speaker 3: almost two to one, three to one. I mean just actually, 632 00:37:38,160 --> 00:37:40,160 Speaker 3: I'm not it's probably worse than that. 633 00:37:41,200 --> 00:37:43,560 Speaker 1: Yeah, I've seen it. I mean, I guess I've seen 634 00:37:43,800 --> 00:37:48,640 Speaker 1: a couple ads from him. But you know, before we 635 00:37:48,680 --> 00:37:51,920 Speaker 1: go you know what what should we be you know, 636 00:37:51,920 --> 00:37:53,440 Speaker 1: obviously we would love to have you come back on, 637 00:37:54,239 --> 00:37:57,480 Speaker 1: you know, before November one hundred percent, but sort of 638 00:37:57,520 --> 00:37:59,320 Speaker 1: in the interim, you know what, what should we be 639 00:37:59,400 --> 00:37:59,960 Speaker 1: keeping our eyes on? 640 00:38:00,360 --> 00:38:01,440 Speaker 2: You know what are you watching? 641 00:38:02,400 --> 00:38:05,800 Speaker 1: And you know what for those of us who aren't empulling, 642 00:38:05,880 --> 00:38:07,319 Speaker 1: you know what, who we be looking at? 643 00:38:08,800 --> 00:38:11,760 Speaker 3: Well? I think you should be looking at a few things. 644 00:38:12,160 --> 00:38:15,799 Speaker 3: As far as the polls I like to, I mean, 645 00:38:15,840 --> 00:38:20,719 Speaker 3: the real clear politics has put together, you know, averages 646 00:38:20,800 --> 00:38:24,759 Speaker 3: of which polling firms are consistently at the lowest air 647 00:38:24,920 --> 00:38:30,920 Speaker 3: right and which ones don't. And so Emerson College as 648 00:38:30,960 --> 00:38:32,560 Speaker 3: far as the college is a good one to pay 649 00:38:32,600 --> 00:38:36,080 Speaker 3: attention to, and h New York Times Sienna is a 650 00:38:36,120 --> 00:38:38,440 Speaker 3: good one to pay attention to. It lengths a little left, 651 00:38:39,000 --> 00:38:42,839 Speaker 3: but it's a good one. And obviously inside our advantage 652 00:38:43,280 --> 00:38:49,240 Speaker 3: and us, I mean we are of the four firms 653 00:38:49,239 --> 00:38:51,640 Speaker 3: that do you know, more than ten states, we have 654 00:38:51,719 --> 00:38:55,919 Speaker 3: the top four and Emmerson College is on one ahead 655 00:38:55,920 --> 00:38:59,399 Speaker 3: of us, and that's cumulative enterprisent years. We're number one 656 00:38:59,560 --> 00:39:03,759 Speaker 3: inside manage number two. So those are those are ones 657 00:39:03,800 --> 00:39:06,040 Speaker 3: you can keep an eye on. Uh, the stuff you 658 00:39:06,040 --> 00:39:10,360 Speaker 3: should probably be dismissive of is what comes from Bloomberg 659 00:39:10,600 --> 00:39:15,160 Speaker 3: because that is just in the tank and a lot 660 00:39:15,160 --> 00:39:17,919 Speaker 3: of the mainstream media, I mean, ABC is probably one 661 00:39:17,960 --> 00:39:21,960 Speaker 3: of the worst. If you remember the I think they're 662 00:39:22,000 --> 00:39:27,120 Speaker 3: they're they're ratings for presidential was in the bottom ten percent. 663 00:39:27,200 --> 00:39:30,120 Speaker 3: I mean, they're just they're so far off. They have 664 00:39:30,160 --> 00:39:34,520 Speaker 3: a margin of area like five and a half, whereas 665 00:39:34,560 --> 00:39:38,920 Speaker 3: you know we're all under three from margin air raid 666 00:39:39,000 --> 00:39:41,480 Speaker 3: on these things that their air rate is just horrible. 667 00:39:42,360 --> 00:39:47,879 Speaker 3: So major network's not so good. And but these these 668 00:39:47,880 --> 00:39:51,520 Speaker 3: are pretty good. And and beware of brand new polling 669 00:39:51,560 --> 00:39:54,600 Speaker 3: firms you've never heard of that are affecting the averages 670 00:39:55,239 --> 00:39:58,200 Speaker 3: just like they dug them up or created them yesterday. 671 00:39:59,320 --> 00:40:04,239 Speaker 3: And and then especially go look at at whether a 672 00:40:04,320 --> 00:40:07,719 Speaker 3: firm is ranked. Any firm that RCP doesn't even have 673 00:40:07,800 --> 00:40:11,719 Speaker 3: in their rankings means that they were so bad that 674 00:40:12,600 --> 00:40:14,920 Speaker 3: they that they made a point of not doing a 675 00:40:14,960 --> 00:40:17,760 Speaker 3: poll in the last three weeks of any election because 676 00:40:17,800 --> 00:40:19,920 Speaker 3: they didn't want to be they didn't want to face 677 00:40:19,960 --> 00:40:22,560 Speaker 3: the scrutiny of what they said. Because a lot of 678 00:40:22,560 --> 00:40:25,440 Speaker 3: these firms will stop polling within three weeks to make 679 00:40:25,440 --> 00:40:28,160 Speaker 3: sure that they don't get counted. And you know, that's 680 00:40:28,239 --> 00:40:30,160 Speaker 3: like the kid who tells you he's so smart to 681 00:40:30,200 --> 00:40:33,600 Speaker 3: take your test. You know that's a problem. So keep 682 00:40:33,640 --> 00:40:36,440 Speaker 3: on the eye all the stuff you can trust and 683 00:40:36,600 --> 00:40:40,839 Speaker 3: everywhere everythings you haven't heard, and look for the possibility 684 00:40:40,880 --> 00:40:46,600 Speaker 3: of some numbers of people, some social ability byas built in. 685 00:40:47,800 --> 00:40:51,560 Speaker 3: But also realize just how good the Democrats to get 686 00:40:51,560 --> 00:40:54,560 Speaker 3: out the vote operation is, because it is. Yeah, and 687 00:40:55,120 --> 00:40:59,160 Speaker 3: we're going to see just how many yeah newie registered 688 00:40:59,320 --> 00:41:03,080 Speaker 3: or you know, registers who should be registered. And the 689 00:41:03,120 --> 00:41:06,880 Speaker 3: Democrats thought awful hard prevent that law from saying you 690 00:41:06,880 --> 00:41:08,280 Speaker 3: had to get a citizen for a reason. 691 00:41:08,880 --> 00:41:11,800 Speaker 1: Yeah, you know. And CNN had him down by six 692 00:41:11,840 --> 00:41:14,600 Speaker 1: in Wisconsin when the last four out of six presidential 693 00:41:14,680 --> 00:41:16,840 Speaker 1: races were decided by less than one percent. 694 00:41:17,080 --> 00:41:20,960 Speaker 2: So it's like, you know, obviously that's total bus. 695 00:41:21,200 --> 00:41:23,400 Speaker 3: We had that we had the number one problem Wisconsin 696 00:41:23,480 --> 00:41:25,160 Speaker 3: in the entire country in twenty twenty. 697 00:41:25,760 --> 00:41:28,680 Speaker 1: Yeah, I mean a lot of these most of these 698 00:41:28,680 --> 00:41:31,280 Speaker 1: battleground states will be decided by less than one percent 699 00:41:31,360 --> 00:41:31,960 Speaker 1: most likely. 700 00:41:32,440 --> 00:41:33,080 Speaker 3: Absolutely. 701 00:41:33,520 --> 00:41:36,400 Speaker 1: Thanks Robert Kaheley. I'm always great to have you on. 702 00:41:36,520 --> 00:41:38,520 Speaker 1: Always brings so much insight. Would love to have you 703 00:41:38,600 --> 00:41:41,319 Speaker 1: back very soon. Always learn so much from you, so 704 00:41:41,560 --> 00:41:44,600 Speaker 1: just really appreciate you making the time. Absolutely it was 705 00:41:44,719 --> 00:41:47,680 Speaker 1: Robert Kaheley with the Trafalgar Group. Appreciate him for taking 706 00:41:47,719 --> 00:41:49,640 Speaker 1: the time to join the show. Appreciate you guys at 707 00:41:49,640 --> 00:41:52,200 Speaker 1: home for listening every Monday and Thursday, but you can 708 00:41:52,239 --> 00:41:54,200 Speaker 1: listen throughout the week. I want to think John Cassio, 709 00:41:54,280 --> 00:41:56,719 Speaker 1: my producer, for putting the show together until next time.