1 00:00:00,640 --> 00:00:03,120 Speaker 1: Stay right here for our final news round up and 2 00:00:03,320 --> 00:00:07,120 Speaker 1: Information Overload my news round up in Information Overload hour. 3 00:00:07,160 --> 00:00:09,280 Speaker 1: Here's our tot free number this election eve. It's eight 4 00:00:09,360 --> 00:00:10,240 Speaker 1: hundred and ninety four one. 5 00:00:10,320 --> 00:00:10,520 Speaker 2: Sean. 6 00:00:10,560 --> 00:00:13,000 Speaker 1: If you want to be a part of the program, 7 00:00:13,480 --> 00:00:16,120 Speaker 1: we're going to get to Mark Halprin in just a second. 8 00:00:16,600 --> 00:00:19,919 Speaker 1: He's been very outspoken. His coverage has been phenomenal. He 9 00:00:20,000 --> 00:00:22,880 Speaker 1: seems one of the few people out there in the 10 00:00:22,920 --> 00:00:27,600 Speaker 1: mainstream media that doesn't have a bias. I admit I'm 11 00:00:27,640 --> 00:00:29,400 Speaker 1: a talk show host. I have a point of view, 12 00:00:29,400 --> 00:00:33,440 Speaker 1: but unlike everybody else that claims that they're there they're 13 00:00:33,640 --> 00:00:36,040 Speaker 1: journalists and they're objective there or anything. But if you 14 00:00:36,120 --> 00:00:38,400 Speaker 1: just listen to them for two or four or five minutes, 15 00:00:38,440 --> 00:00:40,960 Speaker 1: it's like, really, you're going to call yourself a journalist, 16 00:00:40,960 --> 00:00:44,400 Speaker 1: You're not. Yeah, you're remember the press. Yeah, okay, you 17 00:00:44,440 --> 00:00:47,160 Speaker 1: have an opinion that makes you a talk show host. 18 00:00:47,600 --> 00:00:51,320 Speaker 1: That's fine, just be honest about it. He's had this 19 00:00:51,479 --> 00:00:53,840 Speaker 1: to say, which I found pretty interesting. I don't want 20 00:00:53,840 --> 00:00:58,080 Speaker 1: to get his final analysis. As we head into you know, tomorrow, 21 00:00:58,120 --> 00:01:00,680 Speaker 1: election day, they'll they'll be eighty to nine million people 22 00:01:00,760 --> 00:01:04,319 Speaker 1: I would assume voting tomorrow. It's a big deal and 23 00:01:04,640 --> 00:01:08,080 Speaker 1: every vote's going to matter. My suggestion is ignore the 24 00:01:08,160 --> 00:01:13,080 Speaker 1: polls even though we use them, ignore what others say, 25 00:01:13,160 --> 00:01:17,040 Speaker 1: and just just do your part. We have been given 26 00:01:17,080 --> 00:01:20,600 Speaker 1: this incredible opportunity in this country to vote for the 27 00:01:20,640 --> 00:01:24,320 Speaker 1: candidate of our choice. And if you're happy with the borders, 28 00:01:24,319 --> 00:01:26,399 Speaker 1: if you're if you if you think we're headed in 29 00:01:26,440 --> 00:01:29,240 Speaker 1: the right direction, well then I guess you want Kamala 30 00:01:29,319 --> 00:01:33,040 Speaker 1: Harris as your president. But if you don't like defund, 31 00:01:33,040 --> 00:01:36,600 Speaker 1: dismantled and reimagine no bail laws, if you don't like 32 00:01:36,680 --> 00:01:40,920 Speaker 1: decriminalizing illegal immigration, then you probably want Donald Trump to 33 00:01:40,920 --> 00:01:44,560 Speaker 1: be your president. If you've been unhappy with inflation that 34 00:01:44,640 --> 00:01:48,600 Speaker 1: has persisted now for four straight years and record high 35 00:01:48,680 --> 00:01:51,520 Speaker 1: interest rates we haven't seen in decades, Okay, then I 36 00:01:51,560 --> 00:01:53,680 Speaker 1: guess you'll vote for Kamala Harris. If you'd like to 37 00:01:53,680 --> 00:01:56,160 Speaker 1: see gas prices come down, you're probably going to vote 38 00:01:56,160 --> 00:01:59,680 Speaker 1: for Donald Trump. If you'd like to see America regain 39 00:02:00,440 --> 00:02:03,120 Speaker 1: on the world stage. I think it's a pretty obvious 40 00:02:03,160 --> 00:02:06,800 Speaker 1: answer there too. Here's Mark Calprin of making comments on 41 00:02:06,840 --> 00:02:09,320 Speaker 1: his show on those on a lot of these issues 42 00:02:09,360 --> 00:02:11,359 Speaker 1: that we're facing heading into it tomorrow. 43 00:02:11,560 --> 00:02:14,480 Speaker 3: Big topic today. I've said this before. The only thing 44 00:02:14,480 --> 00:02:17,040 Speaker 3: harder than running against Donald Trump is covering Donald Trump. 45 00:02:17,080 --> 00:02:19,679 Speaker 3: The very difficult to cover him. Okay, why is it 46 00:02:19,720 --> 00:02:21,920 Speaker 3: difficult to cover him? The press doesn't like him in 47 00:02:21,960 --> 00:02:26,280 Speaker 3: the main, as Jonathan Alter has said here and others say, regularly, 48 00:02:26,400 --> 00:02:30,519 Speaker 3: he lies, he's cruel, he does things that no politician 49 00:02:30,560 --> 00:02:33,840 Speaker 3: have ever done outside of the norm, and you can't 50 00:02:34,000 --> 00:02:37,600 Speaker 3: keep up with that ecking him. However, the press, because 51 00:02:37,639 --> 00:02:39,960 Speaker 3: they're liberally biased and because they don't like Donald Trump, 52 00:02:40,080 --> 00:02:43,799 Speaker 3: they regularly do things that are wrong. They're they're taking 53 00:02:43,840 --> 00:02:46,520 Speaker 3: something Trump did and they're twisting it. They do that 54 00:02:46,560 --> 00:02:48,280 Speaker 3: to common flers too. They do that to Joe Biden. 55 00:02:48,320 --> 00:02:50,359 Speaker 3: I do that to politicians. But you know, when I 56 00:02:50,400 --> 00:02:53,240 Speaker 3: played high school basketball, my coach always told me, an 57 00:02:53,360 --> 00:02:56,240 Speaker 3: error in the first quarter is a mistake. A turnover 58 00:02:56,520 --> 00:02:58,320 Speaker 3: is not as bad as a turnover or a mishot 59 00:02:58,360 --> 00:03:00,839 Speaker 3: in the fourth quarter because there's less time to make 60 00:03:00,919 --> 00:03:03,639 Speaker 3: up for the error. Okay, four days out, the press 61 00:03:03,680 --> 00:03:06,920 Speaker 3: doing something unfair can have a real impact on the race, 62 00:03:07,120 --> 00:03:10,840 Speaker 3: and we've seen in the last few days extraordinary unfairness 63 00:03:10,840 --> 00:03:13,160 Speaker 3: to Donald Trump. Now again there are people on the 64 00:03:13,240 --> 00:03:15,639 Speaker 3: left and people in the media who say, screw him. 65 00:03:16,040 --> 00:03:17,919 Speaker 3: He must be stopped at all costs. And he lies 66 00:03:18,000 --> 00:03:20,920 Speaker 3: so much, what does it matter the calibration of her 67 00:03:20,960 --> 00:03:23,200 Speaker 3: holding him accountable. And what I'm here to tell you 68 00:03:23,320 --> 00:03:24,880 Speaker 3: is some of the things that happened in the last 69 00:03:24,880 --> 00:03:27,600 Speaker 3: few days are extraordinarily unfair. 70 00:03:27,760 --> 00:03:31,280 Speaker 1: Well anyway, Mark Alprin joins us now. Mark, by the way, 71 00:03:31,360 --> 00:03:33,640 Speaker 1: is the editor in chief of this new interactive video 72 00:03:33,680 --> 00:03:36,800 Speaker 1: platform two Way. Sean Spicer is a part of it 73 00:03:36,840 --> 00:03:40,480 Speaker 1: as well. One of the few that I really can't 74 00:03:40,520 --> 00:03:43,040 Speaker 1: figure out where you fall politically. I used to think 75 00:03:43,080 --> 00:03:46,400 Speaker 1: you were a little bit more left of center. You 76 00:03:46,600 --> 00:03:48,760 Speaker 1: do you have an opinion or do you just stay 77 00:03:48,760 --> 00:03:49,200 Speaker 1: out of it. 78 00:03:49,360 --> 00:03:51,600 Speaker 4: I have an opinion that journalists should be none bun 79 00:03:51,640 --> 00:03:54,160 Speaker 4: biased and for the American people, and that when they 80 00:03:54,200 --> 00:03:56,760 Speaker 4: do things that are wrong or it reflects bias, they 81 00:03:56,760 --> 00:03:59,080 Speaker 4: should acknowledge it rather than pretending it didn't happen. 82 00:03:59,200 --> 00:04:02,360 Speaker 1: You mean, like ring squad for Liz Cheney when Donald 83 00:04:02,400 --> 00:04:04,680 Speaker 1: Trump meant no such thing, and it was obviously he 84 00:04:04,720 --> 00:04:05,520 Speaker 1: meant no such thing. 85 00:04:05,760 --> 00:04:08,760 Speaker 4: That's the latest example. And again, because it's happening at 86 00:04:08,760 --> 00:04:10,680 Speaker 4: the end of a campaign, and it's just, it's just, 87 00:04:10,800 --> 00:04:13,600 Speaker 4: it's just, it's just a falsehood, and it's a falsehood 88 00:04:13,720 --> 00:04:17,000 Speaker 4: driven by their resistance mentality. There's always been liberal bias 89 00:04:17,040 --> 00:04:21,280 Speaker 4: in the media. It's unfortunate, but Republican presidents who who've succeeded, 90 00:04:21,320 --> 00:04:23,440 Speaker 4: have found a way to work around it. You take 91 00:04:23,480 --> 00:04:26,200 Speaker 4: the normal historical liberal bias and you add in Trump's 92 00:04:26,279 --> 00:04:29,360 Speaker 4: derangement syndrome, and you find what things like you find 93 00:04:29,360 --> 00:04:32,159 Speaker 4: the other day. I mean, they're callous examples. I know, 94 00:04:32,240 --> 00:04:34,960 Speaker 4: you know, Sean, but the Vice president regularly says Donald 95 00:04:35,000 --> 00:04:37,160 Speaker 4: Trump said there'd be a bloodbath if he if he 96 00:04:37,360 --> 00:04:40,520 Speaker 4: lost the election. It's not what he said. And and 97 00:04:40,560 --> 00:04:42,159 Speaker 4: the fact that the press just lets her say it 98 00:04:42,160 --> 00:04:45,000 Speaker 4: over and again. Donald Trump sells lives over and over again, 99 00:04:45,480 --> 00:04:47,680 Speaker 4: and he gets called on it. She says that, and 100 00:04:47,720 --> 00:04:50,400 Speaker 4: nobody notices. And so part of why I think if 101 00:04:50,400 --> 00:04:52,680 Speaker 4: he does win, he'll win is I talk to people 102 00:04:52,720 --> 00:04:54,480 Speaker 4: on two way all the time who say I don't 103 00:04:54,480 --> 00:04:56,080 Speaker 4: love Trump. I a lot of problems with Trump, but 104 00:04:56,160 --> 00:05:00,719 Speaker 4: the bias, along with the indictments are so anesthetical to 105 00:05:00,839 --> 00:05:02,919 Speaker 4: what America should be about, that they're voting for Trump 106 00:05:02,920 --> 00:05:05,279 Speaker 4: at a protest. And the irony, of course is the 107 00:05:05,360 --> 00:05:09,760 Speaker 4: people who have sacrificed their professional credibility the most are 108 00:05:09,800 --> 00:05:13,440 Speaker 4: the ones out of desire determination to stop Donald Trump. 109 00:05:13,760 --> 00:05:16,640 Speaker 4: Are just like in twenty sixteen, if he wins, going 110 00:05:16,640 --> 00:05:18,479 Speaker 4: to have played one of the largest roles in helping 111 00:05:18,560 --> 00:05:22,040 Speaker 4: him inadvertenty because the backlash against the unfairness is. 112 00:05:21,960 --> 00:05:26,159 Speaker 1: It pretty unbelievable. So since Kamala Harris got in this race, 113 00:05:26,240 --> 00:05:29,479 Speaker 1: she has never been asked about her stated position on 114 00:05:29,680 --> 00:05:32,279 Speaker 1: co sponsoring the Green New Deal with Bernie Sanders and 115 00:05:32,360 --> 00:05:35,640 Speaker 1: her willingness to eliminate the filibuster to achieve that. She 116 00:05:35,680 --> 00:05:39,560 Speaker 1: has never been asked about her position about government or 117 00:05:39,680 --> 00:05:42,479 Speaker 1: Medicare for all, government health care for all, and the 118 00:05:42,520 --> 00:05:45,080 Speaker 1: elimination of private health insurance. I have not heard her 119 00:05:45,240 --> 00:05:49,360 Speaker 1: answer have to answer that question. She's never had to 120 00:05:49,440 --> 00:05:52,360 Speaker 1: answer for her tweeting out a bail fund. We had 121 00:05:52,360 --> 00:05:54,560 Speaker 1: five hundred and seventy four riots in the summer of 122 00:05:54,560 --> 00:05:58,240 Speaker 1: twenty twenty. She tweeted that out four days after Minneapolis 123 00:05:58,240 --> 00:06:00,960 Speaker 1: police precinct was burned to the ground and then went 124 00:06:01,000 --> 00:06:03,360 Speaker 1: on CBS and said they're not going to stop rioting 125 00:06:03,440 --> 00:06:05,359 Speaker 1: and they shouldn't stop writing, and I'm not going to 126 00:06:05,360 --> 00:06:08,680 Speaker 1: stop supporting them. She's never been asked about any of this. 127 00:06:09,640 --> 00:06:14,160 Speaker 1: She gave a halp hazard answer on her repeated comments 128 00:06:14,200 --> 00:06:16,640 Speaker 1: that she would ban fracking and offshore drilling. I'm not 129 00:06:16,680 --> 00:06:20,440 Speaker 1: sure I believe it. She's never been asked about why 130 00:06:20,520 --> 00:06:23,520 Speaker 1: she thinks it's courageous never to say the words radical 131 00:06:23,560 --> 00:06:28,760 Speaker 1: islamic terrorism, or illegal alien. I mean, it's beyond malpractice, 132 00:06:28,800 --> 00:06:32,040 Speaker 1: of my view. How is it possible in one hundred days, 133 00:06:32,040 --> 00:06:33,880 Speaker 1: She's never been asked any of those questions. 134 00:06:33,960 --> 00:06:35,640 Speaker 4: Well, the list goes on and on. I know you 135 00:06:35,680 --> 00:06:37,679 Speaker 4: were just giving a sample. But when she was asked 136 00:06:37,680 --> 00:06:40,640 Speaker 4: about an issue that the Trump campaign has raised in advertising, 137 00:06:41,080 --> 00:06:45,920 Speaker 4: support for government funded operations for trans individuals who are 138 00:06:45,920 --> 00:06:49,960 Speaker 4: here illegally, you know, kind of like a quadruple issue 139 00:06:50,000 --> 00:06:52,680 Speaker 4: of controversy, she said, I'll follow the law. She didn't 140 00:06:52,680 --> 00:06:55,000 Speaker 4: answer that. So part of it is when she has 141 00:06:55,000 --> 00:06:57,039 Speaker 4: been asked bout these things, and I think Bratt and 142 00:06:57,080 --> 00:06:58,880 Speaker 4: a few other of the interviewers have done a good 143 00:06:58,960 --> 00:07:00,720 Speaker 4: job of trying to get her to Yeah. 144 00:07:00,760 --> 00:07:03,719 Speaker 1: They gave Brett twenty six minutes, and they iced them. 145 00:07:03,760 --> 00:07:06,360 Speaker 1: They knew he had to turn the show around, and 146 00:07:06,680 --> 00:07:09,480 Speaker 1: she showed up seventeen minutes late. First words out of 147 00:07:09,520 --> 00:07:12,320 Speaker 1: their mouth was, instead of thirty minutes, we won twenty. 148 00:07:12,920 --> 00:07:14,640 Speaker 1: You know, you could see in his eyes they tried 149 00:07:14,640 --> 00:07:16,480 Speaker 1: to wrap him at twenty and he pushed it to 150 00:07:16,520 --> 00:07:19,840 Speaker 1: twenty six. But I mean, and she wouldn't answer a question. 151 00:07:19,960 --> 00:07:22,200 Speaker 1: She tried to filibuster, which put him in a really 152 00:07:22,200 --> 00:07:24,840 Speaker 1: difficult position of having to interrupt there because she wasn't 153 00:07:24,840 --> 00:07:25,640 Speaker 1: answering the question. 154 00:07:25,800 --> 00:07:28,200 Speaker 4: I agree with all that, but a few interviewers, however 155 00:07:28,320 --> 00:07:30,880 Speaker 4: much time they've had, have tried she doesn't answer. Now, 156 00:07:31,080 --> 00:07:33,680 Speaker 4: if Donald Trump answered about the Affordable Care Act, as 157 00:07:33,680 --> 00:07:37,280 Speaker 4: Donald Trump answered about how he'd stop the war in Ukraine, 158 00:07:37,800 --> 00:07:41,480 Speaker 4: he's been the difference. The difference is he was president. 159 00:07:41,600 --> 00:07:43,720 Speaker 4: The difference is he talks to the press a lot more. 160 00:07:44,200 --> 00:07:47,520 Speaker 4: And the difference is she has a track record of 161 00:07:47,640 --> 00:07:52,440 Speaker 4: extremely liberal positions from her presidential campaign that the country, 162 00:07:52,560 --> 00:07:55,200 Speaker 4: even if you followed it closely, would actually have no 163 00:07:55,280 --> 00:07:57,560 Speaker 4: idea what she would do as president. So I think 164 00:07:57,640 --> 00:08:00,000 Speaker 4: I think a short campaign is going to have special rules. 165 00:08:00,320 --> 00:08:03,720 Speaker 4: But she's chosen to mostly do interviews with friendly and 166 00:08:03,760 --> 00:08:05,600 Speaker 4: the one she's done, like with Bratt as you said, 167 00:08:05,680 --> 00:08:07,440 Speaker 4: I have been under circumstances where we can't get to 168 00:08:07,440 --> 00:08:10,280 Speaker 4: the bottom of it, and the debate where everybody said 169 00:08:10,280 --> 00:08:11,680 Speaker 4: she did such a good job, and she did a 170 00:08:11,680 --> 00:08:14,920 Speaker 4: great job baiting Donald Trump, was not at all revealing 171 00:08:15,360 --> 00:08:18,160 Speaker 4: of her positions. Now, I will say if she loses, 172 00:08:18,200 --> 00:08:20,400 Speaker 4: and if she loses, to some people close to the president, 173 00:08:20,440 --> 00:08:22,200 Speaker 4: as you know, thinks she'll lose badly, there'll be a 174 00:08:22,200 --> 00:08:23,840 Speaker 4: lot of reasons for it, and Joe Biden will get 175 00:08:23,840 --> 00:08:26,160 Speaker 4: a lot of the blame, for instance, my Democrats at least. 176 00:08:26,320 --> 00:08:28,600 Speaker 4: But one of the reasons I'm quite confident from talking 177 00:08:28,600 --> 00:08:31,160 Speaker 4: to voters every day on my two way platform is 178 00:08:31,640 --> 00:08:35,840 Speaker 4: she was some combination of this unspecific about what she'd 179 00:08:35,840 --> 00:08:40,040 Speaker 4: do and unconvincing that her liberal positions are actually changed. 180 00:08:40,240 --> 00:08:43,400 Speaker 4: And I think to some extent, again, I understand the 181 00:08:43,400 --> 00:08:46,920 Speaker 4: frustration you feel as a partisanate, and I have a 182 00:08:46,960 --> 00:08:51,000 Speaker 4: comparable or parallel frustration as a journalist. But the system 183 00:08:51,040 --> 00:08:53,120 Speaker 4: may work. In other words, part of why she'll loses 184 00:08:53,200 --> 00:08:56,080 Speaker 4: she failed to explain her positions on things in a 185 00:08:56,120 --> 00:08:57,880 Speaker 4: way that voter are fell comfortable to say. 186 00:08:58,120 --> 00:09:01,160 Speaker 1: I don't think she can mark because of she does. 187 00:09:01,520 --> 00:09:03,920 Speaker 1: How do you explain away all never mind, I co 188 00:09:04,000 --> 00:09:06,760 Speaker 1: sponsored the Green New Deal with Bernie Sanders, and I 189 00:09:06,760 --> 00:09:09,960 Speaker 1: said I'd eliminate the filibuster. Never mind, How do you 190 00:09:10,040 --> 00:09:14,280 Speaker 1: explain away co sponsoring Medicare for all, elimination of private 191 00:09:14,280 --> 00:09:17,880 Speaker 1: health insurance? How do you how do you expect these 192 00:09:17,920 --> 00:09:21,040 Speaker 1: are recent positions? We're not talking about ten years ago. 193 00:09:21,520 --> 00:09:24,360 Speaker 4: Well, I mean her sort of textbook, her boiler play 194 00:09:24,400 --> 00:09:27,559 Speaker 4: language is they think basically as part of the administration, 195 00:09:27,600 --> 00:09:30,880 Speaker 4: I changed my view, but I will say, you know, 196 00:09:30,880 --> 00:09:33,000 Speaker 4: I've known Kamala Harrison covered her for a long time. 197 00:09:33,600 --> 00:09:37,360 Speaker 4: I think that her achilles heel politically is she does 198 00:09:37,400 --> 00:09:41,440 Speaker 4: not like to make difficult choices under pressure. Now, unfortunately 199 00:09:41,480 --> 00:09:43,800 Speaker 4: for her, that's kind of the job description for president 200 00:09:44,120 --> 00:09:46,160 Speaker 4: and to a large extent, the job description of president 201 00:09:46,200 --> 00:09:49,199 Speaker 4: the United States or of a presidential candidate. But that's 202 00:09:49,320 --> 00:09:51,480 Speaker 4: I believe why she doesn't answer these questions because she 203 00:09:51,600 --> 00:09:54,640 Speaker 4: knows the answers are hard. She's either going to alienate 204 00:09:54,679 --> 00:09:56,680 Speaker 4: the left or alienate the center. 205 00:09:57,200 --> 00:09:59,400 Speaker 1: You mean, like she wouldn't answer how she voted on 206 00:09:59,440 --> 00:10:03,679 Speaker 1: Prop thirty in California. So I actually have the cud. 207 00:10:03,760 --> 00:10:05,800 Speaker 1: Let me play it for you. How did you vote 208 00:10:05,800 --> 00:10:06,800 Speaker 1: on Prop thirty six. 209 00:10:07,679 --> 00:10:11,239 Speaker 2: So I have my ballad is on its way to California, 210 00:10:11,400 --> 00:10:13,560 Speaker 2: and I'm going to trust the system that it will 211 00:10:13,760 --> 00:10:17,120 Speaker 2: arrive there. And I am not going to talk about 212 00:10:17,400 --> 00:10:20,080 Speaker 2: the vote on that because I honestly it is the 213 00:10:20,120 --> 00:10:23,800 Speaker 2: Sunday before the election, and I don't intend to create 214 00:10:24,040 --> 00:10:25,160 Speaker 2: an endorsement. 215 00:10:24,760 --> 00:10:25,880 Speaker 1: One way or another around it. 216 00:10:26,640 --> 00:10:27,600 Speaker 3: But I did vote. 217 00:10:28,080 --> 00:10:30,440 Speaker 1: I mean, it's just a typical answer from her, which 218 00:10:30,480 --> 00:10:31,319 Speaker 1: is a non answer. 219 00:10:31,320 --> 00:10:34,480 Speaker 4: But John, if you accept my prism to evaluate all 220 00:10:34,520 --> 00:10:37,120 Speaker 4: of these non answers, then I think it explains every 221 00:10:37,120 --> 00:10:39,600 Speaker 4: one of them. If she took a position on that issue, 222 00:10:39,720 --> 00:10:42,320 Speaker 4: she would alienate the left or the center. And she 223 00:10:42,360 --> 00:10:44,560 Speaker 4: doesn't want to do it because she does not like 224 00:10:44,600 --> 00:10:48,360 Speaker 4: to make difficult choices under pressure, and figuring out how 225 00:10:48,400 --> 00:10:51,560 Speaker 4: to answer these questions is a difficult choice, so she 226 00:10:51,720 --> 00:10:54,600 Speaker 4: just chooses not to. That produces the word salad. It 227 00:10:54,640 --> 00:10:58,080 Speaker 4: produces the evasions. Again. President Trump is evasive about a 228 00:10:58,120 --> 00:11:01,160 Speaker 4: ton of stuff too, but it's not costing him because 229 00:11:01,160 --> 00:11:03,120 Speaker 4: people have a better sense of what he thinks. I 230 00:11:03,200 --> 00:11:04,880 Speaker 4: say to people all the time, tell me what Donald 231 00:11:04,880 --> 00:11:06,560 Speaker 4: Trump would as president, whether you like it or not. 232 00:11:06,880 --> 00:11:12,199 Speaker 4: Less regulation, lower taxes, no forever warse you know some 233 00:11:12,760 --> 00:11:14,000 Speaker 4: conservative cultural. 234 00:11:13,679 --> 00:11:16,600 Speaker 1: Build the wall. Don't forget that mark, that's an obvious one. 235 00:11:17,000 --> 00:11:17,280 Speaker 4: You're right. 236 00:11:17,320 --> 00:11:20,760 Speaker 1: And by the way, he's in commalist closing arguments, she 237 00:11:20,840 --> 00:11:24,400 Speaker 1: says she's lying to people about stealing Grandma and Grandpa's 238 00:11:24,440 --> 00:11:27,559 Speaker 1: social Security and Medicare. Actually it went up under his 239 00:11:27,600 --> 00:11:30,719 Speaker 1: first term. She's lying when she says he's going to 240 00:11:30,840 --> 00:11:34,400 Speaker 1: support a national abortion band. It's an outright lie. Or 241 00:11:34,600 --> 00:11:40,000 Speaker 1: limit access to contraception another lie, or IVF another lie. 242 00:11:40,800 --> 00:11:45,040 Speaker 1: The twenty twenty whatever project that I don't even know 243 00:11:45,080 --> 00:11:47,719 Speaker 1: what it's about. And I'm a you know, prominent conservative, 244 00:11:47,720 --> 00:11:49,640 Speaker 1: but I have no idea, never read it, don't know 245 00:11:49,679 --> 00:11:52,320 Speaker 1: who's involved in it, don't care, want no part of it, 246 00:11:52,360 --> 00:11:53,840 Speaker 1: based on a little bit that I do. 247 00:11:53,840 --> 00:11:56,839 Speaker 4: Know about it. Look, I left off my list of 248 00:11:56,880 --> 00:11:58,839 Speaker 4: things people know about Trump, as you said, shut down 249 00:11:58,840 --> 00:12:01,559 Speaker 4: the border and all some more energy production. I ask people, 250 00:12:01,600 --> 00:12:04,880 Speaker 4: even her supporters, what is she for. It's all opposition 251 00:12:04,960 --> 00:12:07,679 Speaker 4: to Trump. It's all she won't let she won't do projects. 252 00:12:07,720 --> 00:12:10,400 Speaker 1: Is that going to be enough? He's a Nazi fascist 253 00:12:10,679 --> 00:12:12,520 Speaker 1: where all garbage is that going to work? 254 00:12:13,000 --> 00:12:14,200 Speaker 3: Well, it'll be enough. 255 00:12:14,400 --> 00:12:18,480 Speaker 4: If if four things happen, If if productive reproductive freedom 256 00:12:18,520 --> 00:12:21,520 Speaker 4: turns out to be a bigger issue for voters than 257 00:12:21,559 --> 00:12:24,760 Speaker 4: the poll suggests, if women make up fifty five percent 258 00:12:24,800 --> 00:12:27,520 Speaker 4: of the electorate, if her turnout operation turns out to 259 00:12:27,559 --> 00:12:30,760 Speaker 4: be masterfulow of the early vote doesn't suggest that, and 260 00:12:30,960 --> 00:12:34,760 Speaker 4: it turns out that basically no one else gets meaningful vote. 261 00:12:34,760 --> 00:12:37,040 Speaker 4: It's just basically a two person race. And it turns 262 00:12:37,040 --> 00:12:39,600 Speaker 4: out Donald Trump's steeling is forty eight percent. If those 263 00:12:39,640 --> 00:12:41,760 Speaker 4: four things happen, I believe she can get exactly two 264 00:12:41,840 --> 00:12:44,760 Speaker 4: hundred and seventy electoral votes, probably no more. No one's 265 00:12:44,800 --> 00:12:47,160 Speaker 4: ever won with one pass to exactly two hundred and seventy. 266 00:12:47,640 --> 00:12:49,960 Speaker 4: Most of my sources and both parties say that's where 267 00:12:49,960 --> 00:12:51,400 Speaker 4: she is. That's where Joe Biden was on the eve 268 00:12:51,400 --> 00:12:53,559 Speaker 4: of the debate, and that's a that's a tough thing 269 00:12:53,559 --> 00:12:56,480 Speaker 4: to pull off, no margin of error, but that's but 270 00:12:56,559 --> 00:12:57,320 Speaker 4: that may be enough. 271 00:12:58,040 --> 00:13:00,680 Speaker 1: This is my analysis, And you tell me where you 272 00:13:00,840 --> 00:13:03,400 Speaker 1: think I'm wrong, and I like you. I have sources 273 00:13:03,400 --> 00:13:07,080 Speaker 1: that are Democrats and Republicans. Maybe that'llso surprise some people. 274 00:13:07,960 --> 00:13:12,359 Speaker 1: I based on all the modeling, early voting, every indication 275 00:13:12,880 --> 00:13:15,960 Speaker 1: is they have a math problem for Kamala Harris, and 276 00:13:15,960 --> 00:13:19,000 Speaker 1: that is early voting goals that she needed to reach 277 00:13:19,240 --> 00:13:22,000 Speaker 1: she didn't come close to reaching. And according to everybody 278 00:13:22,040 --> 00:13:25,360 Speaker 1: that I speak to in Georgia, it looks like Donald 279 00:13:25,360 --> 00:13:27,920 Speaker 1: Trump's gonna win Georgia. It looks like he's gonna win 280 00:13:27,960 --> 00:13:30,560 Speaker 1: North Carolina. Now, if you disagree with any of this, 281 00:13:30,600 --> 00:13:34,800 Speaker 1: I want to hear it with you. You've reported, and 282 00:13:35,000 --> 00:13:38,600 Speaker 1: my sources are saying exactly what you reported is she's 283 00:13:38,600 --> 00:13:41,440 Speaker 1: in trouble, big trouble. In Wisconsin. Early vote is down 284 00:13:41,480 --> 00:13:43,880 Speaker 1: forty percent the election model that has been used there 285 00:13:43,920 --> 00:13:46,599 Speaker 1: for fourteen years. As Trump up by one and a 286 00:13:46,640 --> 00:13:49,320 Speaker 1: half points. That would be the end of it the 287 00:13:49,360 --> 00:13:52,079 Speaker 1: way I see where she is now. If Trump wins 288 00:13:52,120 --> 00:13:54,760 Speaker 1: Arizona has a shot at Nevada, although that would only 289 00:13:54,760 --> 00:13:57,760 Speaker 1: get him to two sixty eight. She needs a clean 290 00:13:57,840 --> 00:14:00,200 Speaker 1: sweep of the Blue Wall. He needs one of the 291 00:14:00,240 --> 00:14:01,240 Speaker 1: three and he wins. 292 00:14:01,280 --> 00:14:05,040 Speaker 4: Perfectly stated, And again, I think any electoral college analysis 293 00:14:05,040 --> 00:14:07,440 Speaker 4: here one day out starts with the question do you 294 00:14:07,440 --> 00:14:09,520 Speaker 4: think she'll win one of the southwestern one of the 295 00:14:09,520 --> 00:14:12,240 Speaker 4: sun Belt states. My sources don't. And so if she 296 00:14:12,240 --> 00:14:14,480 Speaker 4: can't win one of the three big Sunbelt states Arizona, 297 00:14:14,800 --> 00:14:16,920 Speaker 4: at North Carolina or Georgia. Then she has to go 298 00:14:16,960 --> 00:14:19,080 Speaker 4: three for three and Trump has to go one for three. 299 00:14:19,160 --> 00:14:21,400 Speaker 4: In the Great Lake States, going one for three is 300 00:14:21,400 --> 00:14:23,120 Speaker 4: a lot easier than going three for three. There's been 301 00:14:23,240 --> 00:14:26,440 Speaker 4: I think, an over emphasis on Pennsylvania. I did it too. 302 00:14:26,480 --> 00:14:28,480 Speaker 4: I did a whole two hour show called It's All 303 00:14:28,480 --> 00:14:31,440 Speaker 4: about Pennsylvania. But you're hearing what I'm hearing now, which 304 00:14:31,480 --> 00:14:37,479 Speaker 4: is surprisingly firm confidence from Democrats and Republicans in Wisconsin 305 00:14:37,480 --> 00:14:40,320 Speaker 4: that Trump will win the state. And if she can't 306 00:14:40,360 --> 00:14:42,160 Speaker 4: win a Sun Belt state and she can't win Wisconsin, 307 00:14:42,200 --> 00:14:44,280 Speaker 4: it is over. It's not sort of over, it's over. 308 00:14:44,320 --> 00:14:47,000 Speaker 4: And as for the early vote and the early early vote, 309 00:14:47,040 --> 00:14:49,320 Speaker 4: I said, if this keeps up, we will go into 310 00:14:49,360 --> 00:14:51,800 Speaker 4: election day knowing mathematically she can't win. 311 00:14:51,920 --> 00:14:54,480 Speaker 1: All right, So I'll tell you what on that point, 312 00:14:55,600 --> 00:14:58,160 Speaker 1: I normally wouldn't hold a guest over, but I'm going 313 00:14:58,200 --> 00:15:02,360 Speaker 1: to pick up mathematically where we are because I have 314 00:15:02,440 --> 00:15:04,680 Speaker 1: not heard you discuss that, and I want to ask 315 00:15:04,720 --> 00:15:07,120 Speaker 1: you specifically about Pennsylvania because I have a lot of 316 00:15:07,120 --> 00:15:12,000 Speaker 1: thoughts on that and about the registration shift since twenty 317 00:15:12,040 --> 00:15:14,320 Speaker 1: twenty that nobody talks about, and even a shift in 318 00:15:14,360 --> 00:15:17,600 Speaker 1: Nevada as well. Can you stick around a few more minutes? 319 00:15:17,760 --> 00:15:19,760 Speaker 4: A few more I got to leave in about ten minutes. 320 00:15:19,840 --> 00:15:21,640 Speaker 1: I will have you out here and lessen that, all right? 321 00:15:21,880 --> 00:15:23,880 Speaker 1: Mark Alpriton is with us, Say eight hundred and ninety 322 00:15:23,880 --> 00:15:25,280 Speaker 1: FOURT one, Shawn is a number you want to be 323 00:15:25,280 --> 00:15:26,680 Speaker 1: a part of the program. We'll get to your calls 324 00:15:26,720 --> 00:15:29,880 Speaker 1: coming up straight ahead. Today's economic environment. You have two 325 00:15:29,880 --> 00:15:34,360 Speaker 1: thirds of Americans literally saying they're gulping water financially. Now, 326 00:15:34,520 --> 00:15:38,440 Speaker 1: if you're putting bare necessities on credit cards, that means 327 00:15:38,480 --> 00:15:41,480 Speaker 1: you're paying high interest credit card debt. Now, if you're 328 00:15:41,520 --> 00:15:45,400 Speaker 1: a homeowner, well the average home valuation has gone up 329 00:15:45,560 --> 00:15:47,480 Speaker 1: ten percent in the last year. That means you have 330 00:15:47,520 --> 00:15:50,680 Speaker 1: equity in your home. And that's where American Financing dot 331 00:15:50,720 --> 00:15:54,000 Speaker 1: net comes in. They're helping thousands of families just like you. 332 00:15:54,440 --> 00:15:58,160 Speaker 1: We're putting everyday expenses on credit cards, get out from 333 00:15:58,280 --> 00:16:02,040 Speaker 1: underneath the crushing debt, and now you can tap into 334 00:16:02,080 --> 00:16:06,680 Speaker 1: your home's equity. American Financing they're now saving their average customer, 335 00:16:06,720 --> 00:16:10,360 Speaker 1: their average borrower, over eight hundred dollars a month that's 336 00:16:10,400 --> 00:16:13,200 Speaker 1: like a ten thousand dollars a year raise. That might 337 00:16:13,240 --> 00:16:15,560 Speaker 1: be the difference between being in the red or being 338 00:16:15,600 --> 00:16:18,720 Speaker 1: in the black every month. That's real money in your pocket. 339 00:16:19,040 --> 00:16:22,160 Speaker 1: And you need to get your free consultation, no obligation 340 00:16:22,280 --> 00:16:24,760 Speaker 1: call and make it now at eight sixty six six 341 00:16:24,840 --> 00:16:27,040 Speaker 1: one five ninety two hundred eighty sixty six six one 342 00:16:27,080 --> 00:16:30,640 Speaker 1: five ninety two hundred on the Webitsamericanfinancing dot Net, nmls 343 00:16:30,640 --> 00:16:32,800 Speaker 1: twenty two through through four, Animalist Consumer Access at Work 344 00:16:34,480 --> 00:16:36,160 Speaker 1: by twenty five to the top of the hour eight 345 00:16:36,240 --> 00:16:38,040 Speaker 1: hundred nine to four one sean. If you want to 346 00:16:38,080 --> 00:16:40,440 Speaker 1: be a part of the program, we continue a few 347 00:16:40,440 --> 00:16:43,440 Speaker 1: more minutes now with Mark Halpern is with us. He's 348 00:16:43,440 --> 00:16:46,200 Speaker 1: the editor in chief of this new interactive video platform. 349 00:16:46,240 --> 00:16:51,000 Speaker 1: Two Way. You had said that we may know the 350 00:16:51,080 --> 00:16:56,120 Speaker 1: winner of the election before election day. Today's election eve. 351 00:16:56,720 --> 00:16:58,080 Speaker 1: Do you think you know the winner? 352 00:16:58,320 --> 00:17:00,440 Speaker 4: It would take a lot for Kamla Harris's team, which 353 00:17:00,480 --> 00:17:03,160 Speaker 4: is underperformed and get out the vote on the early vote, 354 00:17:03,760 --> 00:17:08,040 Speaker 4: to come back and do better on election day. They 355 00:17:08,080 --> 00:17:09,720 Speaker 4: have a lead in most of the states in the 356 00:17:09,720 --> 00:17:11,320 Speaker 4: early vote, but it's not as big a lead as 357 00:17:11,320 --> 00:17:14,920 Speaker 4: they had in twenty twenty, and so we'll have to 358 00:17:14,960 --> 00:17:17,600 Speaker 4: look at the final early vote numbers. But in several 359 00:17:17,680 --> 00:17:21,400 Speaker 4: of these states, including Pennsylvania, it's difficult to see how 360 00:17:21,400 --> 00:17:25,160 Speaker 4: she'll win. It's not impossible, but the Dark Eye party 361 00:17:25,200 --> 00:17:29,919 Speaker 4: has become the early vote party, accelerated by COVID, And 362 00:17:29,960 --> 00:17:33,239 Speaker 4: so how she's going to do better enough on election day? 363 00:17:33,240 --> 00:17:35,800 Speaker 4: Where we've seen so far on early vote, which again 364 00:17:35,880 --> 00:17:40,800 Speaker 4: is absentee ballots and in person of early voting, underperformance 365 00:17:40,800 --> 00:17:42,520 Speaker 4: in the urban areas, and every one of the seven 366 00:17:42,560 --> 00:17:46,119 Speaker 4: states has urban areas over performance by Team Trump and 367 00:17:46,160 --> 00:17:50,119 Speaker 4: the rural areas and underperformance with a demographic groups that 368 00:17:50,440 --> 00:17:53,879 Speaker 4: she needs to do well in. So, for instance, in Pennsylvania, 369 00:17:54,000 --> 00:17:56,840 Speaker 4: for lead is much smaller than even some Democrats told 370 00:17:56,880 --> 00:17:59,440 Speaker 4: me going in it needed to be to survive the 371 00:17:59,560 --> 00:18:02,560 Speaker 4: greater expect to turn out and buy Republicans on election day. 372 00:18:02,920 --> 00:18:05,280 Speaker 4: Is it possible that they'll be not as good as 373 00:18:05,280 --> 00:18:08,199 Speaker 4: they thought they'd be on early vote but better on 374 00:18:08,240 --> 00:18:11,480 Speaker 4: election day. It's possible, but it's unlikely. And that's why 375 00:18:11,560 --> 00:18:13,879 Speaker 4: right now, based on as we had from the early 376 00:18:13,920 --> 00:18:16,840 Speaker 4: early vote to the late early vote, it's very hard 377 00:18:16,840 --> 00:18:19,119 Speaker 4: to see mathematically how she's going to do this unless 378 00:18:19,119 --> 00:18:20,720 Speaker 4: there's a surge to polls, which there could be. 379 00:18:20,800 --> 00:18:23,119 Speaker 1: Well, they're going to have to based on what you're describing. 380 00:18:23,200 --> 00:18:25,919 Speaker 1: What I've been saying myself in my own commentary is 381 00:18:25,960 --> 00:18:28,280 Speaker 1: that they are going to have to do something that 382 00:18:28,320 --> 00:18:31,560 Speaker 1: they've never done before, and that is have the biggest 383 00:18:31,960 --> 00:18:36,760 Speaker 1: day of voting ever, historic numbers for that to be accomplished. 384 00:18:37,160 --> 00:18:39,439 Speaker 1: And I have the same data that you have, and 385 00:18:39,480 --> 00:18:43,520 Speaker 1: that is the urban turnout in every single swing state, 386 00:18:44,920 --> 00:18:47,040 Speaker 1: the female vote, which we've been hearing a lot about, 387 00:18:47,040 --> 00:18:50,199 Speaker 1: and you're right with your fifty five percent number, or 388 00:18:50,400 --> 00:18:54,120 Speaker 1: but then if they were people were so if they 389 00:18:54,119 --> 00:18:56,480 Speaker 1: were so excited to vote for Kamala, why wouldn't they 390 00:18:56,480 --> 00:18:58,720 Speaker 1: have voted early. That doesn't kind of make That doesn't 391 00:18:58,760 --> 00:19:00,959 Speaker 1: make sense to me. And then we're going to expect 392 00:19:01,280 --> 00:19:04,600 Speaker 1: that they'll show up on election day, which historically Democrats 393 00:19:04,640 --> 00:19:08,080 Speaker 1: don't do. Rural turnout, as you point out, is through 394 00:19:08,119 --> 00:19:12,240 Speaker 1: the roof everywhere, which brings me to the question of Pennsylvania. 395 00:19:12,280 --> 00:19:13,800 Speaker 1: And you said you did a whole show on this 396 00:19:14,880 --> 00:19:18,719 Speaker 1: one thing. People have not discussed. Pennsylvania demographics have changed 397 00:19:18,720 --> 00:19:21,840 Speaker 1: a lot over seven hundred thousand new Republicans. I've not 398 00:19:22,000 --> 00:19:26,760 Speaker 1: heard anybody talk about that nearly eighty thousand increase in 399 00:19:26,920 --> 00:19:32,679 Speaker 1: demographically Republican new registrations in Nevada, and you see similar 400 00:19:32,680 --> 00:19:34,879 Speaker 1: stories around the rest of the country and swing states. 401 00:19:34,880 --> 00:19:36,600 Speaker 1: Also thoughts on that it's a. 402 00:19:36,560 --> 00:19:39,159 Speaker 4: Great example of liberal bias. If we had seen registration 403 00:19:39,320 --> 00:19:42,399 Speaker 4: explosions in the Democratic gate they've they had a direction, 404 00:19:42,880 --> 00:19:45,040 Speaker 4: there'd be lots of stories trying to explain it, and 405 00:19:45,040 --> 00:19:48,359 Speaker 4: it would be attributed to a grassroots revolt against the 406 00:19:48,400 --> 00:19:52,960 Speaker 4: Republican president. Instead, we see that statistics are quite uniform. 407 00:19:53,040 --> 00:19:55,119 Speaker 4: I haven't seen anybody explain it. But what do we 408 00:19:55,119 --> 00:20:00,000 Speaker 4: know about voter registration tilting Republicans and early vote tilting Republicans, 409 00:20:00,000 --> 00:20:04,680 Speaker 4: domination of grassroots enthusiasm, and mechanical operations so called get 410 00:20:04,720 --> 00:20:08,200 Speaker 4: out the vote. The Harris people argued they had greater 411 00:20:08,320 --> 00:20:11,600 Speaker 4: enthusiasm because of abortion rights and hatred for Donald Trump, 412 00:20:11,880 --> 00:20:13,760 Speaker 4: and they had the better turn out operation because they 413 00:20:13,800 --> 00:20:15,480 Speaker 4: had a lot of money and they've been building it 414 00:20:15,520 --> 00:20:19,840 Speaker 4: for years now. It's it's hard to say that those 415 00:20:19,840 --> 00:20:21,920 Speaker 4: things are going to be true on election day, because, 416 00:20:21,960 --> 00:20:24,240 Speaker 4: as you said, if they're not having the mechanics to 417 00:20:24,280 --> 00:20:26,640 Speaker 4: turn people out early and get them to register to vote. 418 00:20:26,760 --> 00:20:29,600 Speaker 4: If they're not having any organic enthusiasm to get them 419 00:20:29,600 --> 00:20:32,680 Speaker 4: to vote early, how would it be that those things 420 00:20:32,680 --> 00:20:34,080 Speaker 4: would kick in on election day? 421 00:20:34,400 --> 00:20:38,480 Speaker 1: Well, if you were really enthusiastic, it would be incredible. 422 00:20:38,880 --> 00:20:42,399 Speaker 1: All right, last question, and I let you go. What 423 00:20:42,480 --> 00:20:46,480 Speaker 1: are the odds in this race for each candidate winning 424 00:20:46,560 --> 00:20:47,800 Speaker 1: the electoral College? 425 00:20:48,359 --> 00:20:49,960 Speaker 4: I don't predict. I want to be clear. I'm not 426 00:20:50,040 --> 00:20:52,399 Speaker 4: rooting for Donald Trump. I'm not predicting him. When I 427 00:20:52,440 --> 00:20:55,320 Speaker 4: think today I'm in about sixty forty or sixty five 428 00:20:55,440 --> 00:20:55,960 Speaker 4: thirty five. 429 00:20:56,280 --> 00:20:59,119 Speaker 1: Mark Couperan, I do appreciate your honesty. You know, it's 430 00:20:59,160 --> 00:21:02,000 Speaker 1: amazing how many people in the mainstream media hate my guts. 431 00:21:02,000 --> 00:21:03,439 Speaker 1: Why do they hate my guts? What do I ever 432 00:21:03,520 --> 00:21:03,960 Speaker 1: do to them? 433 00:21:04,640 --> 00:21:06,800 Speaker 4: I don't. I don't have a monopoly on my kind 434 00:21:06,800 --> 00:21:07,440 Speaker 4: of journalism. 435 00:21:09,840 --> 00:21:13,280 Speaker 1: I'm just trying to understand something different. I'm just you know, 436 00:21:13,600 --> 00:21:16,440 Speaker 1: just you know. I invited Kamala I gave her fall 437 00:21:16,480 --> 00:21:19,080 Speaker 1: for three hours of radio, in an hour on Hannity 438 00:21:19,160 --> 00:21:21,159 Speaker 1: the TV show. I didn't even get a response. I 439 00:21:21,160 --> 00:21:26,440 Speaker 1: think I find that very disrespectful, just saying yeah, anyway, 440 00:21:26,760 --> 00:21:29,080 Speaker 1: appreciate it Mark, thanks for spending the extra time with us. 441 00:21:29,119 --> 00:21:34,520 Speaker 1: Eight hundred and ninety four one shars probably went to spam. 442 00:21:33,720 --> 00:21:33,880 Speaker 2: Uh. 443 00:21:34,640 --> 00:21:37,320 Speaker 1: You know you can't make this up. It's election eve. 444 00:21:38,080 --> 00:21:40,520 Speaker 1: Let me go back to where we started today, and 445 00:21:40,560 --> 00:21:43,159 Speaker 1: I'm not going to I'm not going to stop. For 446 00:21:43,240 --> 00:21:46,159 Speaker 1: those of you that have already voted. From the bottom 447 00:21:46,240 --> 00:21:49,000 Speaker 1: of my heart, I say thank you. I know. Look, 448 00:21:49,119 --> 00:21:51,800 Speaker 1: I am telling my staff here there are many that 449 00:21:51,840 --> 00:21:54,480 Speaker 1: have not voted yet that if you're in line to 450 00:21:54,560 --> 00:21:57,399 Speaker 1: vote tomorrow and you cannot get to work, I am 451 00:21:57,440 --> 00:22:01,440 Speaker 1: perfectly fine with you staying in line voting. And when 452 00:22:01,440 --> 00:22:05,480 Speaker 1: I say to this audience that, in spite of numbers 453 00:22:05,520 --> 00:22:11,520 Speaker 1: and predictions and percentages and polls and prognostications, I don't 454 00:22:11,560 --> 00:22:14,760 Speaker 1: care put it all out of your head. If you 455 00:22:14,840 --> 00:22:18,160 Speaker 1: have one thought that I want you to have, is 456 00:22:19,200 --> 00:22:22,240 Speaker 1: I want it to be especially if you're in Georgia, 457 00:22:22,760 --> 00:22:29,480 Speaker 1: North Carolina, Pennsylvania, if you live in Wisconsin, Michigan, Arizona, Nevada, 458 00:22:30,040 --> 00:22:33,920 Speaker 1: if you're in those states, assume that your vote will 459 00:22:33,960 --> 00:22:38,680 Speaker 1: be the determining vote in this election. I want that 460 00:22:39,000 --> 00:22:43,960 Speaker 1: high degree of urgency and intensity because it's an inflection 461 00:22:44,040 --> 00:22:47,239 Speaker 1: point for the moment for the country. It simply is, 462 00:22:47,960 --> 00:22:50,399 Speaker 1: we've done our very best to do a job that 463 00:22:50,480 --> 00:22:52,760 Speaker 1: nobody else in the media really cared to do, and 464 00:22:52,760 --> 00:22:55,800 Speaker 1: that is tell you the truth about Kamala Harris, tell 465 00:22:55,800 --> 00:22:59,160 Speaker 1: you the truth about Donald Trump. Take on an establishment 466 00:22:59,320 --> 00:23:02,920 Speaker 1: legacy meet that has no interest in truth any longer, 467 00:23:03,200 --> 00:23:07,080 Speaker 1: that is corrupt, that is abusively biased, and they have 468 00:23:07,240 --> 00:23:10,720 Speaker 1: told more lies than I've ever heard in any one campaign. 469 00:23:10,720 --> 00:23:13,520 Speaker 1: And they should not be rewarded for this. They should not. 470 00:23:14,040 --> 00:23:17,879 Speaker 1: And I would like a big, clean win and that 471 00:23:17,920 --> 00:23:21,159 Speaker 1: we will know early and that it'll be a knockout. 472 00:23:21,400 --> 00:23:24,400 Speaker 1: That's what I'm hoping for. But the only way that 473 00:23:24,440 --> 00:23:29,480 Speaker 1: can happen is of all of you realize the importance 474 00:23:29,560 --> 00:23:34,359 Speaker 1: of your part. I am one talk show host I have, Yeah, 475 00:23:34,400 --> 00:23:37,000 Speaker 1: we have a big audience I can reach. I can't 476 00:23:37,040 --> 00:23:39,960 Speaker 1: make any of you listen to the show. I can't 477 00:23:39,960 --> 00:23:42,600 Speaker 1: make any of you watch Hannity. By the way, there 478 00:23:42,600 --> 00:23:45,320 Speaker 1: should be laws that mandates such. But I'm kidding. I 479 00:23:45,320 --> 00:23:47,520 Speaker 1: say that they're gonna joke, They're gonna want to arrest me. 480 00:23:49,160 --> 00:23:52,120 Speaker 1: I can't make you vote. I can only point out 481 00:23:52,480 --> 00:23:55,920 Speaker 1: the truth. I'm gonna have my closing argument the real 482 00:23:56,000 --> 00:23:59,080 Speaker 1: Kamala Harris tonight on Hannity, I'm asking all of you, 483 00:23:59,119 --> 00:24:01,600 Speaker 1: if you haven't voted, for the sake of our country, 484 00:24:01,880 --> 00:24:05,240 Speaker 1: to inform yourself. Go on handity dot com Public service, 485 00:24:05,400 --> 00:24:08,719 Speaker 1: the Kamala files, walls files, listen to them in their 486 00:24:08,760 --> 00:24:11,239 Speaker 1: own words, and if that's the America you want, then 487 00:24:11,280 --> 00:24:14,200 Speaker 1: that's the America you choose. I don't think most Americans 488 00:24:14,240 --> 00:24:17,640 Speaker 1: agree with that, and I'm asking. I'm asking. I don't 489 00:24:17,680 --> 00:24:19,919 Speaker 1: want to beg and plead, but I will if I 490 00:24:20,000 --> 00:24:23,320 Speaker 1: have to. I'll do whatever you know it takes. I 491 00:24:23,359 --> 00:24:25,919 Speaker 1: can't bribe anybody. That's illegal. I would never do that. 492 00:24:25,960 --> 00:24:27,760 Speaker 1: I always tell people that will just follow the law. 493 00:24:28,359 --> 00:24:31,520 Speaker 1: But I ask you all to please think about your children, 494 00:24:32,240 --> 00:24:38,560 Speaker 1: your grandchildren. I've laid out every radical, extreme position and 495 00:24:38,720 --> 00:24:41,800 Speaker 1: statement she's ever made. You can listen to it all. 496 00:24:41,840 --> 00:24:44,719 Speaker 1: It's on Hannity dot Com. Thank you for those of 497 00:24:44,720 --> 00:24:47,080 Speaker 1: you that I've voted. I know tomorrow might be a 498 00:24:47,160 --> 00:24:49,359 Speaker 1: hassle for some of you. You might have to spend 499 00:24:49,400 --> 00:24:51,800 Speaker 1: a couple hours online, maybe more than a couple hours. 500 00:24:52,320 --> 00:24:54,879 Speaker 1: By the way, if you are in line before the 501 00:24:54,920 --> 00:24:57,679 Speaker 1: polls close, you get to vote by law that's my 502 00:24:57,800 --> 00:25:01,720 Speaker 1: understanding in all fifty states. All right, So please, there's 503 00:25:01,720 --> 00:25:04,360 Speaker 1: a lot at stake here, there really is. I care 504 00:25:04,400 --> 00:25:06,240 Speaker 1: about our kids. I you know what, I've had a 505 00:25:06,240 --> 00:25:09,879 Speaker 1: good life. I've had an undeserved life. My life ended today, 506 00:25:10,240 --> 00:25:12,639 Speaker 1: I would say God, I didn't deserve any of it. 507 00:25:12,960 --> 00:25:15,840 Speaker 1: I want a better life for you and your kids 508 00:25:16,119 --> 00:25:18,359 Speaker 1: and your grandkids, and I want to leave this country 509 00:25:18,359 --> 00:25:22,080 Speaker 1: in a better place. And I believe that these two 510 00:25:22,160 --> 00:25:27,080 Speaker 1: competing visions, one is going to be successful and one 511 00:25:27,080 --> 00:25:30,639 Speaker 1: will be an abysmal failure, predictable failure. I want to 512 00:25:30,640 --> 00:25:34,040 Speaker 1: remind you if you are believe in the Second Amendment, 513 00:25:34,160 --> 00:25:35,960 Speaker 1: and you know you have to think of that God 514 00:25:36,000 --> 00:25:38,520 Speaker 1: forbid moments somebody breaks into your house and wants to 515 00:25:38,560 --> 00:25:40,840 Speaker 1: kill you and your family. I know you have a 516 00:25:40,880 --> 00:25:42,600 Speaker 1: plan in your mind. You're going to be the hero. 517 00:25:42,760 --> 00:25:45,959 Speaker 1: You'll save your life, You'll save your family's lives, and 518 00:25:46,480 --> 00:25:49,119 Speaker 1: that's where your nightmare could begin. I don't care if 519 00:25:49,160 --> 00:25:51,479 Speaker 1: you're an ex Navy seal, long time gun owner, NW 520 00:25:51,560 --> 00:25:54,520 Speaker 1: to firearms. Somebody breaks into your house wants to kill you. 521 00:25:54,960 --> 00:25:58,600 Speaker 1: There are people that would want you arrested for defending 522 00:25:58,640 --> 00:26:01,439 Speaker 1: your life and your family's life. That's where the us 523 00:26:01,440 --> 00:26:03,920 Speaker 1: CCA comes in. That's why they exist. As a member, 524 00:26:03,920 --> 00:26:05,960 Speaker 1: you're going to get world class safety and training and 525 00:26:05,960 --> 00:26:09,919 Speaker 1: self defense liability insurance so when trouble comes, you're not 526 00:26:10,040 --> 00:26:14,240 Speaker 1: facing it alone. There's over eight hundred thousand American gun 527 00:26:14,280 --> 00:26:16,919 Speaker 1: owners like me and I've been a proud member for 528 00:26:17,080 --> 00:26:19,960 Speaker 1: nine years that trust the us CCA. And right now 529 00:26:20,000 --> 00:26:22,639 Speaker 1: they are offering an exclusive, limited time deal just for 530 00:26:22,680 --> 00:26:26,840 Speaker 1: Hannity listeners. Just text my last name Hannity to eight 531 00:26:26,920 --> 00:26:29,280 Speaker 1: seven two to two to two. See exactly how this 532 00:26:29,400 --> 00:26:34,160 Speaker 1: membership safeguard your family. And also they'll send everybody You'll 533 00:26:34,160 --> 00:26:37,080 Speaker 1: give you instant access to their Concealed Carry and Family 534 00:26:37,160 --> 00:26:40,400 Speaker 1: Defense Guide that is free. Text my last name Hannity, 535 00:26:40,600 --> 00:26:43,240 Speaker 1: h A N n it Y to the number eight seven, 536 00:26:43,320 --> 00:26:46,280 Speaker 1: two to two today. All right, let's get to our 537 00:26:46,320 --> 00:26:52,959 Speaker 1: busy telephones here. Let's say hi, big time AJ Houston, Texas. 538 00:26:53,040 --> 00:26:56,240 Speaker 1: What's going on? Baby? Not our first rodeo? Big time, 539 00:26:57,359 --> 00:26:58,200 Speaker 1: big time. 540 00:26:58,240 --> 00:27:02,399 Speaker 5: Son, Hannity. Hey, you know it ain't and we're gonna 541 00:27:02,440 --> 00:27:04,560 Speaker 5: take it in the landslide. That's my prediction. 542 00:27:04,680 --> 00:27:07,800 Speaker 1: All right, stop right there. Hey, I'm not I'm not 543 00:27:07,880 --> 00:27:12,080 Speaker 1: putting up with that prediction. But I'll tell you no, 544 00:27:12,160 --> 00:27:13,760 Speaker 1: I don't want people to feel that way. I want 545 00:27:14,359 --> 00:27:17,760 Speaker 1: because I don't think it's true. And I want Americans 546 00:27:17,800 --> 00:27:21,320 Speaker 1: to realize in these states, these polls are close. I'm 547 00:27:21,359 --> 00:27:24,440 Speaker 1: not saying I trust posters, but I'm saying to assume 548 00:27:24,520 --> 00:27:27,040 Speaker 1: the worst and assume that your vote to the deciding vote. 549 00:27:27,040 --> 00:27:28,000 Speaker 1: But I love you. You know that. 550 00:27:28,640 --> 00:27:31,280 Speaker 5: I know, but I got to go with you after 551 00:27:31,320 --> 00:27:34,000 Speaker 5: they did what they did last one, and we know 552 00:27:34,200 --> 00:27:36,760 Speaker 5: this should be our third term around. I'm just saying 553 00:27:36,800 --> 00:27:40,320 Speaker 5: that's me, Sean. But hey, I got a funny feeling 554 00:27:40,720 --> 00:27:43,760 Speaker 5: that we gonna make it this time, even with they 555 00:27:43,800 --> 00:27:45,840 Speaker 5: already and she looked, you see where they burnt up 556 00:27:45,880 --> 00:27:49,240 Speaker 5: the ballots. Hey, let me ask you something. Them ballats 557 00:27:49,320 --> 00:27:50,280 Speaker 5: dad got burnt up. 558 00:27:50,840 --> 00:27:54,000 Speaker 1: We're talking about it and I think Oregon and yeah, yeah, 559 00:27:54,119 --> 00:27:55,639 Speaker 1: we talked about it last week. 560 00:27:56,480 --> 00:27:58,359 Speaker 5: How are they going to figure that out? Now? How 561 00:27:58,400 --> 00:27:59,200 Speaker 5: do I don't know how. 562 00:27:59,119 --> 00:28:01,520 Speaker 1: They figure it out? You know what I don't. I 563 00:28:01,560 --> 00:28:03,800 Speaker 1: will tell you this, and I do have a whole 564 00:28:03,840 --> 00:28:07,160 Speaker 1: pile of stuff I didn't get to today. But every challenge, 565 00:28:07,160 --> 00:28:10,320 Speaker 1: the good news is there's hundreds and hundreds of lawyers 566 00:28:10,400 --> 00:28:13,840 Speaker 1: all around the country for Trump, and they've been challenging 567 00:28:13,880 --> 00:28:16,479 Speaker 1: these issues in court and they've been winning almost all 568 00:28:16,600 --> 00:28:18,439 Speaker 1: of them, you know. And that's the key to me, 569 00:28:18,560 --> 00:28:20,760 Speaker 1: is that you know, if you see, if any of 570 00:28:20,840 --> 00:28:25,159 Speaker 1: you see anything that is inappropriate or you think is 571 00:28:25,200 --> 00:28:28,800 Speaker 1: against the law, inform the RNC, get in touch with 572 00:28:28,840 --> 00:28:31,200 Speaker 1: their lawyers. It's not hard to do. Reach out to 573 00:28:31,240 --> 00:28:35,879 Speaker 1: your local Republican party, and I would go about it 574 00:28:35,960 --> 00:28:39,400 Speaker 1: the proper way. Tell law enforcement, tell election officials in 575 00:28:39,440 --> 00:28:43,120 Speaker 1: your county. Be kind, be respectful, be polite. That's my advice. 576 00:28:43,960 --> 00:28:48,120 Speaker 5: Now, Hey, last one, I just seen where last week 577 00:28:48,160 --> 00:28:51,560 Speaker 5: where they're supposed to have somebody with you when you 578 00:28:51,560 --> 00:28:53,920 Speaker 5: pick up the ballots. Okay, they supposed to have two 579 00:28:53,960 --> 00:28:56,880 Speaker 5: people with you when they do the ballots on the 580 00:28:56,920 --> 00:28:58,640 Speaker 5: opposite side, I guess. 581 00:28:58,520 --> 00:29:00,240 Speaker 1: And you're talking about ballot harvesting. 582 00:29:01,520 --> 00:29:04,000 Speaker 5: Yeah, pretty much, that's what it is. And they grab 583 00:29:04,080 --> 00:29:06,920 Speaker 5: him out the box, right, and they want nobody with 584 00:29:07,040 --> 00:29:11,200 Speaker 5: the guy. And he grabbed him, put him in a deal. 585 00:29:11,240 --> 00:29:13,480 Speaker 5: He's supposed to count him when he take him out. 586 00:29:13,920 --> 00:29:16,280 Speaker 5: We didn't see that on the video. I guess these 587 00:29:16,280 --> 00:29:19,280 Speaker 5: people don't see that. If there's a video camera around 588 00:29:19,320 --> 00:29:22,479 Speaker 5: them boxes evidently, and they don't pay attention to him. 589 00:29:23,000 --> 00:29:27,920 Speaker 5: But we gonna see Sean, and God bless America because 590 00:29:28,000 --> 00:29:31,640 Speaker 5: we gonna need it this time. And like you said, everybody, 591 00:29:31,680 --> 00:29:34,360 Speaker 5: because I'm going tomorrow morning the boat. I always bring 592 00:29:34,440 --> 00:29:36,560 Speaker 5: up the back door. I always you know, I always 593 00:29:36,640 --> 00:29:39,600 Speaker 5: told you I vote on that day. So everybody that 594 00:29:39,720 --> 00:29:43,479 Speaker 5: has them voted, get out there, stand in that line, 595 00:29:43,880 --> 00:29:47,280 Speaker 5: don't take no crap, wait for your time, get in 596 00:29:47,320 --> 00:29:51,080 Speaker 5: there and do your do Gillians, and let's make America 597 00:29:51,280 --> 00:29:55,400 Speaker 5: great again, baby, so we can keep this beautiful country 598 00:29:55,440 --> 00:29:59,640 Speaker 5: of ours going without all them lying knuckle heads that's 599 00:29:59,680 --> 00:30:02,800 Speaker 5: on that Democrats that taking us down to the nott 600 00:30:03,080 --> 00:30:03,680 Speaker 5: Just don't. 601 00:30:03,440 --> 00:30:06,840 Speaker 1: Call them garbage or what did Kathy Hokle say? I mean, 602 00:30:07,000 --> 00:30:09,480 Speaker 1: I actually couldn't believe she these words. She said that 603 00:30:10,440 --> 00:30:12,200 Speaker 1: you're anti American. 604 00:30:11,920 --> 00:30:14,640 Speaker 6: These Republicans in New York. You are voting for someone 605 00:30:14,640 --> 00:30:18,320 Speaker 6: who supports Donald Trump, and your anti woman, your anti abortion, 606 00:30:18,600 --> 00:30:22,720 Speaker 6: and basically you're anti American because you have just trashed 607 00:30:23,080 --> 00:30:26,040 Speaker 6: American values and what our country is all about, over 608 00:30:26,160 --> 00:30:27,920 Speaker 6: and over and over, and you will wear this on 609 00:30:28,000 --> 00:30:29,280 Speaker 6: election day. 610 00:30:29,840 --> 00:30:32,880 Speaker 1: I don't know, big time. I'm praying, I'm hoping. I 611 00:30:32,920 --> 00:30:36,360 Speaker 1: believe in the Good Lord, and I just want everybody 612 00:30:36,400 --> 00:30:39,440 Speaker 1: to do their part. This will be my last show 613 00:30:39,880 --> 00:30:43,120 Speaker 1: before the polls open tomorrow, and I'm merging all of 614 00:30:43,160 --> 00:30:45,200 Speaker 1: you make time in your day. If you have to 615 00:30:45,200 --> 00:30:47,520 Speaker 1: get up early and get to the polls when they open, 616 00:30:47,960 --> 00:30:50,240 Speaker 1: maybe the line will be shorter. Do it in the morning, 617 00:30:50,400 --> 00:30:54,600 Speaker 1: do it after work. Fine, go to the bathroom and 618 00:30:54,840 --> 00:30:56,920 Speaker 1: be prepared to be there as long as you need 619 00:30:57,000 --> 00:31:00,600 Speaker 1: to stay. Make arrangements for childcare, work with the neighbors, 620 00:31:00,840 --> 00:31:03,600 Speaker 1: help others get to the pulse. Those are all things 621 00:31:03,640 --> 00:31:07,000 Speaker 1: that people can do. But don't assume for a second 622 00:31:07,480 --> 00:31:09,000 Speaker 1: that this election is in the back. 623 00:31:10,080 --> 00:31:10,280 Speaker 3: Uh. 624 00:31:10,320 --> 00:31:12,400 Speaker 1: Eight hundred ninety four one. Shawn is on number. If 625 00:31:12,400 --> 00:31:13,560 Speaker 1: you want to be a part of the program.