1 00:00:01,240 --> 00:00:03,080 Speaker 1: All right, thank you Scott Chatting. Thanks to all of 2 00:00:03,080 --> 00:00:05,480 Speaker 1: you for being with us. Right down to our toll 3 00:00:05,519 --> 00:00:07,320 Speaker 1: free telephone number if you want to be a part 4 00:00:07,320 --> 00:00:09,479 Speaker 1: of the program, it's eight hundred and ninety four one 5 00:00:09,520 --> 00:00:12,120 Speaker 1: sean if you want to be a part of the program. 6 00:00:12,600 --> 00:00:16,120 Speaker 1: And we've got early voting now beginning to unfold all 7 00:00:16,160 --> 00:00:22,599 Speaker 1: around the country. Early voting surging in the Commonwealth of Virginia. 8 00:00:23,079 --> 00:00:27,880 Speaker 1: Early voting has begun in Minnesota, South Dakota, and you know, 9 00:00:27,920 --> 00:00:31,280 Speaker 1: one of the early signs is apparently Democrats are losing 10 00:00:31,320 --> 00:00:34,440 Speaker 1: their mail and voting advantage over the GOP and some 11 00:00:34,600 --> 00:00:37,120 Speaker 1: swing states. Too early to tell. I want to be 12 00:00:37,200 --> 00:00:42,760 Speaker 1: I want people to be very very careful of any data, 13 00:00:43,479 --> 00:00:46,080 Speaker 1: any polling. And I'm going to give you some polling today. 14 00:00:46,159 --> 00:00:48,159 Speaker 1: Even though I'm giving it to you, I'm giving you 15 00:00:48,440 --> 00:00:53,760 Speaker 1: to you with a warning to not allow the media corrupt, 16 00:00:53,960 --> 00:00:58,600 Speaker 1: state run medium mob and these organizations that do polling, 17 00:00:58,760 --> 00:01:00,640 Speaker 1: many of them, you know, I want to get better 18 00:01:00,720 --> 00:01:03,080 Speaker 1: numbers for Kamala Harris. They're going to go with registered 19 00:01:03,160 --> 00:01:07,800 Speaker 1: voters versus what you know, legitimate posters all agree would 20 00:01:07,840 --> 00:01:11,200 Speaker 1: be more accurate, which is likely voters. I mean there 21 00:01:11,240 --> 00:01:15,480 Speaker 1: are tricks to the trade to deflate the turnout in 22 00:01:15,560 --> 00:01:17,720 Speaker 1: terms of voting. With that said, there are good polls 23 00:01:17,720 --> 00:01:21,920 Speaker 1: out for President Trump today. However, I don't want it 24 00:01:22,000 --> 00:01:25,080 Speaker 1: impacting people in any way, shape, matter, or form, because 25 00:01:25,880 --> 00:01:29,160 Speaker 1: if they create or can create an image or an 26 00:01:29,200 --> 00:01:33,760 Speaker 1: impression or a feeling among people that this is a 27 00:01:33,760 --> 00:01:38,959 Speaker 1: lost costs, then you cannot let it in any way 28 00:01:39,000 --> 00:01:43,720 Speaker 1: emotionally or any other way impact you know, the need 29 00:01:43,800 --> 00:01:49,760 Speaker 1: for you to vote. If this, if this anecdotal information 30 00:01:50,000 --> 00:01:54,440 Speaker 1: early on is correct, maybe I didn't waste my breath 31 00:01:54,440 --> 00:01:57,880 Speaker 1: for four years, Linda. And we've gone over this many times. 32 00:01:58,280 --> 00:02:01,160 Speaker 1: Remember I kind of shocked you when I had callers 33 00:02:01,200 --> 00:02:05,360 Speaker 1: call in during COVID and after I talked about monoclonal antibodies, 34 00:02:05,360 --> 00:02:08,680 Speaker 1: monoclonal antibodies, ask your doctor about monoclonal antibodies. I didn't 35 00:02:08,680 --> 00:02:11,320 Speaker 1: tell people what to do, usaid, ask about them, because 36 00:02:11,360 --> 00:02:14,720 Speaker 1: I had known people that had gotten COVID. I got 37 00:02:14,720 --> 00:02:19,960 Speaker 1: treated with monoclonal antibodies and all of them did extraordinarily well, 38 00:02:20,000 --> 00:02:23,079 Speaker 1: and they seemed amazingly effective. And I said, look, I'm 39 00:02:23,080 --> 00:02:24,560 Speaker 1: not a doctor. I'm not going to tell you what 40 00:02:24,639 --> 00:02:26,760 Speaker 1: to do with the shot. I don't know anything about 41 00:02:26,760 --> 00:02:29,840 Speaker 1: your medical history. I don't know about pre existing conditions 42 00:02:29,880 --> 00:02:32,080 Speaker 1: or co morbidities. You know, I don't know any of 43 00:02:32,120 --> 00:02:35,440 Speaker 1: those issues. I am not qualified to give out medical advice. 44 00:02:35,480 --> 00:02:37,239 Speaker 1: But I said, you know, but you might want to 45 00:02:37,280 --> 00:02:40,839 Speaker 1: ask your doctor if you do get COVID about monoclonal antibodies, 46 00:02:40,880 --> 00:02:43,560 Speaker 1: just ask and then do your own research. I always 47 00:02:43,560 --> 00:02:46,600 Speaker 1: added that, and then make your own decision, because I 48 00:02:47,320 --> 00:02:49,560 Speaker 1: knew so many people that told me they had success 49 00:02:49,600 --> 00:02:52,400 Speaker 1: with it. And then after months and months and months 50 00:02:52,400 --> 00:02:55,240 Speaker 1: and months of saying it, you know, Linda get gets 51 00:02:55,280 --> 00:02:57,040 Speaker 1: on my case that I'm saying it too much. Do 52 00:02:57,080 --> 00:03:00,799 Speaker 1: you remember that, Linda? I do. And then I said, 53 00:03:00,840 --> 00:03:03,200 Speaker 1: all right, let's do a test. And I said, we 54 00:03:03,280 --> 00:03:05,800 Speaker 1: went to our phone lines and I went there randomly, 55 00:03:05,840 --> 00:03:08,440 Speaker 1: and I said to people, all right, if if you 56 00:03:08,560 --> 00:03:12,400 Speaker 1: get a positive, if you get a positive test back 57 00:03:12,440 --> 00:03:16,120 Speaker 1: on the on COVID, what is Shawn's recommendation? What was 58 00:03:16,160 --> 00:03:20,799 Speaker 1: my recommendation to people to ask their doctor? And when 59 00:03:20,800 --> 00:03:23,720 Speaker 1: we went through all the lines of people, how many 60 00:03:23,800 --> 00:03:26,760 Speaker 1: people got right the answer in terms of what my 61 00:03:26,840 --> 00:03:30,360 Speaker 1: advice had been for months and months one and a half, 62 00:03:31,320 --> 00:03:32,960 Speaker 1: I don't even think one and a half. I think 63 00:03:32,960 --> 00:03:34,240 Speaker 1: you're it was one and a half. 64 00:03:34,320 --> 00:03:36,640 Speaker 2: It was one dude and then one person who said 65 00:03:36,640 --> 00:03:37,760 Speaker 2: it begins with an M. 66 00:03:39,200 --> 00:03:41,680 Speaker 1: Begins with an M is hardly you know, a question 67 00:03:41,760 --> 00:03:45,560 Speaker 1: to ask a doctor. Doctor, I have COVID, can I 68 00:03:45,600 --> 00:03:47,000 Speaker 1: ask you about the M. 69 00:03:47,840 --> 00:03:52,720 Speaker 2: I mean, let's not just say it to give them, you. 70 00:03:52,600 --> 00:03:57,360 Speaker 1: Know, but there can be there are when you have 71 00:03:57,400 --> 00:03:59,680 Speaker 1: a media and we have gone through Kamala and our 72 00:03:59,720 --> 00:04:01,839 Speaker 1: own and we're going to do more of it when 73 00:04:01,880 --> 00:04:03,800 Speaker 1: we're going to play it as often as we can, 74 00:04:03,920 --> 00:04:07,840 Speaker 1: especially on the main issues, and because the media is 75 00:04:07,880 --> 00:04:11,960 Speaker 1: protecting her, and a lot of the media is responsible 76 00:04:12,000 --> 00:04:15,480 Speaker 1: for running these polls and if they want to, if 77 00:04:15,520 --> 00:04:18,480 Speaker 1: they want to suppress vote or create a sense of well, 78 00:04:18,600 --> 00:04:21,200 Speaker 1: this thing's baked in the cake against Donald Trump, they're 79 00:04:21,200 --> 00:04:22,679 Speaker 1: going to try and do it. And there are tricks 80 00:04:22,720 --> 00:04:24,960 Speaker 1: to that trade as well. That's why I'm arguing to people, 81 00:04:25,720 --> 00:04:29,320 Speaker 1: you know, we put certain posters on who we believe 82 00:04:29,360 --> 00:04:32,760 Speaker 1: have the most credibility. We put on McLaughlin and associates, 83 00:04:32,760 --> 00:04:39,000 Speaker 1: Matt Towery from Insider Advantage, Robert Ahley Trafalgar. They were 84 00:04:39,040 --> 00:04:42,800 Speaker 1: most accurate in both twenty sixteen and twenty twenty and 85 00:04:43,279 --> 00:04:46,360 Speaker 1: they you know, they're two of the top rated polls 86 00:04:46,440 --> 00:04:49,679 Speaker 1: in the country in real clear politics. You know, puts 87 00:04:49,760 --> 00:04:52,880 Speaker 1: up rating for all of them. And I even noticed 88 00:04:52,960 --> 00:04:57,919 Speaker 1: Nate Silver gives some polls a greater weight in coming 89 00:04:58,000 --> 00:05:01,080 Speaker 1: up with his predictions then and he gives other polls. 90 00:05:02,000 --> 00:05:04,880 Speaker 1: It is interesting that the latest New York Times a 91 00:05:04,960 --> 00:05:08,360 Speaker 1: Siena poll that has come out shows Donald Trump and 92 00:05:08,400 --> 00:05:11,320 Speaker 1: Kamala Harris tied at forty eight forty eight. You know, 93 00:05:11,360 --> 00:05:14,360 Speaker 1: I kind of have a rule about in my own 94 00:05:14,400 --> 00:05:18,159 Speaker 1: life emotionally, It's like I have to deal with ratings 95 00:05:18,240 --> 00:05:21,600 Speaker 1: every day in my life, and ratings is like a 96 00:05:21,640 --> 00:05:24,840 Speaker 1: report card that you don't have any control over, and 97 00:05:25,400 --> 00:05:30,120 Speaker 1: there's certain methodology issues that come into play. Just this 98 00:05:30,240 --> 00:05:34,320 Speaker 1: is all insider you know, information. It's sort of like 99 00:05:34,800 --> 00:05:38,040 Speaker 1: inside baseball that none of you really care about. If 100 00:05:38,040 --> 00:05:39,880 Speaker 1: you like the show, you like the show. If you 101 00:05:39,880 --> 00:05:42,560 Speaker 1: don't like it, you're not listening to me right now, probably, 102 00:05:42,920 --> 00:05:44,560 Speaker 1: or if you are, you're just listening because you like 103 00:05:44,600 --> 00:05:46,680 Speaker 1: to hate me, which is good too. I don't care 104 00:05:46,760 --> 00:05:48,680 Speaker 1: why what reason you listen to me? As long as 105 00:05:48,720 --> 00:05:52,200 Speaker 1: you listen. And so there are certain things out there 106 00:05:52,240 --> 00:05:57,599 Speaker 1: that you've got to understand are being done. But there 107 00:05:57,640 --> 00:06:02,400 Speaker 1: are powerful institutions that are against Donald Trump, and one 108 00:06:02,440 --> 00:06:05,160 Speaker 1: of them is a very corrupt state run media MOP, 109 00:06:05,680 --> 00:06:07,920 Speaker 1: I would argue, And we've seen this, and we'll talk 110 00:06:07,960 --> 00:06:10,080 Speaker 1: more about it with Miranda Devine. She's got to kill 111 00:06:10,080 --> 00:06:12,680 Speaker 1: her new book out. Oh my gosh, Paul the big guy, 112 00:06:12,720 --> 00:06:14,480 Speaker 1: We're going to talk to her today. We'll talk about 113 00:06:14,480 --> 00:06:18,400 Speaker 1: the media with Joe Concient today. But if if you 114 00:06:18,600 --> 00:06:22,520 Speaker 1: look at, for example, the latest poll numbers, you know 115 00:06:22,640 --> 00:06:25,040 Speaker 1: they're all over the map. But there are certain polls 116 00:06:25,040 --> 00:06:30,320 Speaker 1: that I conclude are meant to kind of emotionally make 117 00:06:30,680 --> 00:06:33,040 Speaker 1: from supporters feel like there's no hope. And that's why 118 00:06:33,040 --> 00:06:35,240 Speaker 1: I want to give you some numbers here. Not only 119 00:06:35,279 --> 00:06:38,360 Speaker 1: did the Times Siena poll have Trump and Kamala Harris 120 00:06:38,400 --> 00:06:40,800 Speaker 1: tied at forty eight, and coming from the New York Times, 121 00:06:40,839 --> 00:06:45,719 Speaker 1: that's saying something, but they also show that Donald Trump 122 00:06:45,760 --> 00:06:48,680 Speaker 1: is leading in Arizona by five points fifty to forty five. 123 00:06:49,400 --> 00:06:52,680 Speaker 1: And they show and two must win states for him, 124 00:06:53,040 --> 00:06:56,200 Speaker 1: both Georgia and North Carolina, that he's doing very well. 125 00:06:56,240 --> 00:07:01,800 Speaker 1: As also the poll shows Trump leading Harris nine forty 126 00:07:01,800 --> 00:07:07,320 Speaker 1: five among likely voters. And what North Carolina? I think 127 00:07:07,320 --> 00:07:10,960 Speaker 1: it is the poll shows Arizona. You know that that's 128 00:07:11,000 --> 00:07:13,520 Speaker 1: a big five point lead, and that is a big 129 00:07:13,560 --> 00:07:16,920 Speaker 1: shift from August to September when Harris led by five 130 00:07:16,960 --> 00:07:20,080 Speaker 1: percentage points in the same poll. And it shows that 131 00:07:20,120 --> 00:07:23,240 Speaker 1: Trump is up forty nine to forty five among likely 132 00:07:23,360 --> 00:07:28,200 Speaker 1: voters in Georgia likely voters is far more believable. But 133 00:07:28,240 --> 00:07:30,440 Speaker 1: if you look at them, these winning in North Carolina, 134 00:07:31,680 --> 00:07:35,960 Speaker 1: and it's just very interesting. I know that Mark Robinson, 135 00:07:36,000 --> 00:07:39,200 Speaker 1: the gubernatorial candidate that has been under major fire. Apparently 136 00:07:39,320 --> 00:07:43,520 Speaker 1: he's lost his entire campaign staff things. How is it 137 00:07:43,560 --> 00:07:45,360 Speaker 1: this guy's been lieutenant governor and then all of a 138 00:07:45,400 --> 00:07:48,520 Speaker 1: sudden they're discovering all these things about him four years later? 139 00:07:49,040 --> 00:07:51,360 Speaker 1: How convenient to me? I just, you know, part of me, 140 00:07:51,680 --> 00:07:54,600 Speaker 1: I don't know. I just have this suspicious part of 141 00:07:54,600 --> 00:07:57,160 Speaker 1: my brain at all times. But anyway, back to the 142 00:07:57,680 --> 00:08:00,240 Speaker 1: but that does not impact the only reason and I 143 00:08:00,280 --> 00:08:04,280 Speaker 1: bring it is, you know, Kamala Harris offered a fusive 144 00:08:04,360 --> 00:08:08,680 Speaker 1: praise for you know, mister Freakoff himself, our friend Sean 145 00:08:09,840 --> 00:08:13,520 Speaker 1: Pitty of p Ditty whatever his name is. The rap mogul, 146 00:08:14,360 --> 00:08:17,760 Speaker 1: and it has been credibly accused of beating, raping, torturing 147 00:08:17,840 --> 00:08:22,120 Speaker 1: multiple women. And anyway, Vice President Harris once offered a 148 00:08:22,160 --> 00:08:26,320 Speaker 1: fusive praise for Sean P. Diddy while participating in a 149 00:08:26,360 --> 00:08:31,760 Speaker 1: town hall dedicated to COVID and African Americans. And you 150 00:08:31,800 --> 00:08:34,080 Speaker 1: know Sean, and I want to thank you because you know, 151 00:08:34,120 --> 00:08:38,400 Speaker 1: you've always have a way of convening and bringing folks together, 152 00:08:38,440 --> 00:08:40,880 Speaker 1: Harris said on the call. And then she followed it 153 00:08:40,960 --> 00:08:44,520 Speaker 1: up with an effusive tweet that's now being widely mocked 154 00:08:44,559 --> 00:08:48,600 Speaker 1: on social media. And the event featured other people. Anyway, 155 00:08:48,640 --> 00:08:52,720 Speaker 1: did he ended the call by thanking Camilla Harris didn't 156 00:08:52,720 --> 00:08:55,480 Speaker 1: even know her name? I mean, is the media that 157 00:08:55,520 --> 00:08:59,760 Speaker 1: they're saying? Well? Donald Trump once heard Mark Robinson speak, 158 00:08:59,760 --> 00:09:02,800 Speaker 1: and he thought he was an effective speaker to the 159 00:09:02,840 --> 00:09:06,160 Speaker 1: fact that nobody knew that he's alleged to have committed 160 00:09:06,720 --> 00:09:09,840 Speaker 1: to have said all these controversial things. Did Kamala Harris 161 00:09:10,480 --> 00:09:14,040 Speaker 1: know that P Diddy was involved in these freak offs 162 00:09:14,080 --> 00:09:16,679 Speaker 1: as they call him, and that he was involved in 163 00:09:16,720 --> 00:09:19,480 Speaker 1: all of this conduct, or that he's on video beating 164 00:09:19,480 --> 00:09:21,880 Speaker 1: the hell out of a woman in a hotel. I 165 00:09:21,920 --> 00:09:25,440 Speaker 1: don't think so. So you know, it just doesn't go 166 00:09:25,600 --> 00:09:28,400 Speaker 1: the same way. And this is probably the biggest challenge. 167 00:09:28,440 --> 00:09:30,360 Speaker 1: But anyway, but back to the polling for a second. 168 00:09:31,120 --> 00:09:34,000 Speaker 1: So that would be pretty good news for Donald Trump today. 169 00:09:34,000 --> 00:09:37,600 Speaker 1: But liked My rule in radio and TV with ratings 170 00:09:37,640 --> 00:09:40,200 Speaker 1: every day is I don't get too high or too low. 171 00:09:41,040 --> 00:09:43,959 Speaker 1: If you very rarely hear me talk about ratings. And 172 00:09:44,800 --> 00:09:47,679 Speaker 1: we've consistently been one of the top rated shows in 173 00:09:47,800 --> 00:09:51,520 Speaker 1: all of cable news ever since we overtook Larry King 174 00:09:51,600 --> 00:09:54,000 Speaker 1: on CNN, and you don't hear me talk about it 175 00:09:54,040 --> 00:09:56,240 Speaker 1: a lot. Or if there's a slow news night or 176 00:09:56,280 --> 00:09:59,079 Speaker 1: a bad news rating night, you don't hear me come 177 00:09:59,120 --> 00:10:01,120 Speaker 1: on the air. Complet I don't get too high, I 178 00:10:01,120 --> 00:10:03,400 Speaker 1: don't get too low. I would urge you to take 179 00:10:03,440 --> 00:10:06,880 Speaker 1: the same approach towards hearing these these poll numbers. I mean, 180 00:10:06,920 --> 00:10:08,760 Speaker 1: I was kind of encouraged by a poll that came 181 00:10:08,800 --> 00:10:12,199 Speaker 1: out this this weekend Old dominion voters. This is from 182 00:10:12,240 --> 00:10:16,520 Speaker 1: the University of Mary Washington and forty seven forty six 183 00:10:16,559 --> 00:10:20,840 Speaker 1: in Virginia. Kamala has a one point lead there. John 184 00:10:20,920 --> 00:10:24,520 Speaker 1: McLaughlin went back and he actually looked at the poll numbers. 185 00:10:24,520 --> 00:10:29,240 Speaker 1: For example, if you look at at you know, oh, 186 00:10:29,360 --> 00:10:35,360 Speaker 1: let's see October eighteenth of twenty sixteen. Well, the real 187 00:10:35,400 --> 00:10:38,920 Speaker 1: clear politics average for Hillary Clinton was forty nine forty one. 188 00:10:39,960 --> 00:10:43,520 Speaker 1: And anyway Clinton, you know you had in twenty sixteen, 189 00:10:43,520 --> 00:10:46,400 Speaker 1: there were some real gems. NBC had Clinton leading fifty 190 00:10:46,440 --> 00:10:50,280 Speaker 1: one forty four. Another CBS poll had Clinton winning fifty 191 00:10:50,320 --> 00:10:54,640 Speaker 1: one forty on election day five thirty eight. Then run 192 00:10:54,679 --> 00:10:56,559 Speaker 1: by Nate silver Well, I actually think is a pretty 193 00:10:56,559 --> 00:10:59,800 Speaker 1: smart guy, but any polster can get things wrong. It's 194 00:10:59,800 --> 00:11:03,000 Speaker 1: not perfect science. But she had a seventy one percent 195 00:11:03,080 --> 00:11:05,880 Speaker 1: chance of winning. She lost. Trump won. If you go 196 00:11:05,920 --> 00:11:09,440 Speaker 1: to twenty twenty and you go to this date in 197 00:11:09,520 --> 00:11:12,880 Speaker 1: twenty twenty, Biden was up by eight points, fifty to 198 00:11:12,920 --> 00:11:15,559 Speaker 1: forty two. If you go to election day, he was 199 00:11:15,640 --> 00:11:19,240 Speaker 1: up fifty one forty four. And you know, when you 200 00:11:19,280 --> 00:11:21,480 Speaker 1: look at the end results, what do you what do 201 00:11:21,520 --> 00:11:23,360 Speaker 1: you come up with? By the way, you had other 202 00:11:23,600 --> 00:11:28,040 Speaker 1: organizations NBC had Biden winning fifty two forty two. Economists 203 00:11:28,080 --> 00:11:32,240 Speaker 1: Yugov had you know, just days before the election fifty 204 00:11:32,240 --> 00:11:36,960 Speaker 1: three forty three Biden winning. And okay, Biden won by 205 00:11:36,960 --> 00:11:39,560 Speaker 1: forty four thousand votes. In three states, I'd say that 206 00:11:39,679 --> 00:11:44,080 Speaker 1: the polling sucked. You know, Now, people that got twenty 207 00:11:44,080 --> 00:11:46,760 Speaker 1: sixteen and twenty twenty right are people that I mentioned 208 00:11:46,760 --> 00:11:49,760 Speaker 1: that we used regularly. Doesn't mean they can't be wrong either. Occasionally. 209 00:11:50,400 --> 00:11:52,440 Speaker 1: A lot of people got twenty twenty two wrong. But 210 00:11:52,440 --> 00:11:55,880 Speaker 1: I don't think people realize the impact of Roe v. Wade, 211 00:11:55,880 --> 00:11:57,959 Speaker 1: which I think is many ways has been dealt with. 212 00:11:58,720 --> 00:12:00,280 Speaker 1: You know, if you'd want to go back to twenty 213 00:12:00,360 --> 00:12:02,079 Speaker 1: twenty and look at the New York Times and their 214 00:12:02,080 --> 00:12:04,679 Speaker 1: final poll numbers, if we're going to use them as 215 00:12:04,720 --> 00:12:09,280 Speaker 1: an example today, well, their final poll in twenty twenty 216 00:12:10,160 --> 00:12:14,720 Speaker 1: had there was six off by having Biden up by three, 217 00:12:15,400 --> 00:12:17,840 Speaker 1: and in North Carolina they were off by five points, 218 00:12:17,880 --> 00:12:20,040 Speaker 1: and in Pennsylvania they were off by five points, and 219 00:12:20,080 --> 00:12:23,000 Speaker 1: in Arizona they were off by six points. In Wisconsin 220 00:12:23,000 --> 00:12:26,480 Speaker 1: they were all off by a whopping ten points. So 221 00:12:26,920 --> 00:12:29,520 Speaker 1: I mean, these are all things to factor in when 222 00:12:29,559 --> 00:12:33,040 Speaker 1: you hear anybody on any network or anybody telling you 223 00:12:33,120 --> 00:12:35,360 Speaker 1: about polls, because I think it's important that you have 224 00:12:35,480 --> 00:12:38,959 Speaker 1: the context and the understanding about them. And Democrat Democrats 225 00:12:38,960 --> 00:12:42,960 Speaker 1: are even fearing. Senate Democrats are concerned that once again, 226 00:12:43,160 --> 00:12:47,200 Speaker 1: under counting of the Trump vote is real, especially you know, 227 00:12:47,280 --> 00:12:49,640 Speaker 1: if you look at estates where maybe Harris has a 228 00:12:49,640 --> 00:12:52,520 Speaker 1: slim lead in a battle ground state. I am just 229 00:12:52,640 --> 00:12:55,880 Speaker 1: telling you anybody that says right now with any level 230 00:12:55,880 --> 00:12:59,040 Speaker 1: of you know, certainty, that they know how this election 231 00:12:59,200 --> 00:13:01,640 Speaker 1: is going to come out, don't. And you've got to 232 00:13:01,720 --> 00:13:07,120 Speaker 1: assume that they don't. But you know, if on average 233 00:13:07,160 --> 00:13:11,079 Speaker 1: polls overestimated Biden's support in swing states in twenty twenty 234 00:13:11,080 --> 00:13:14,559 Speaker 1: by nearly four percentage points, that's a pretty strong pro 235 00:13:14,640 --> 00:13:18,880 Speaker 1: Democratic bias that it could have automatically be factored into 236 00:13:18,960 --> 00:13:23,000 Speaker 1: trying to understand state and national level polling in this election. 237 00:13:23,480 --> 00:13:25,199 Speaker 1: And I think it's something that we have to think 238 00:13:25,240 --> 00:13:27,800 Speaker 1: about or you have to be cognizant of. In twenty 239 00:13:27,840 --> 00:13:31,640 Speaker 1: twenty eight, Biden polled as leading Trump by seven point 240 00:13:31,760 --> 00:13:35,480 Speaker 1: nine points. In Michigan, Biden won by you know, under 241 00:13:35,480 --> 00:13:39,520 Speaker 1: three points. That's a pretty significant decline. He pulled a 242 00:13:39,600 --> 00:13:42,679 Speaker 1: two point six points in Arizona, won by zero point three, 243 00:13:43,240 --> 00:13:45,520 Speaker 1: he pulled at one point two in Georgia one by 244 00:13:45,640 --> 00:13:49,199 Speaker 1: zero point two. Biden pulled it at plus four point 245 00:13:49,240 --> 00:13:51,920 Speaker 1: seven in Pennsylvania, won by one point two. How can 246 00:13:51,960 --> 00:13:55,600 Speaker 1: you be off by you know, three and a half points. 247 00:13:56,080 --> 00:13:58,760 Speaker 1: You know, the same thing. In Nevada he pulled it 248 00:13:58,920 --> 00:14:02,199 Speaker 1: plus four point nine, he won by two point four. 249 00:14:02,920 --> 00:14:04,960 Speaker 1: He pulled it well plus one point eight. In North 250 00:14:05,000 --> 00:14:08,840 Speaker 1: Carolina lost by one point three. I mean, these are 251 00:14:09,360 --> 00:14:13,840 Speaker 1: you know, it's a very very divided country. And that's 252 00:14:13,840 --> 00:14:16,959 Speaker 1: why I am telling people, you know, maybe the message 253 00:14:16,960 --> 00:14:19,840 Speaker 1: that has gotten out is voting early, not the system 254 00:14:19,880 --> 00:14:25,000 Speaker 1: we want voting by mail, because that seems early anecdotal 255 00:14:25,120 --> 00:14:27,600 Speaker 1: data to have gotten through. I've spent four years on 256 00:14:27,640 --> 00:14:30,920 Speaker 1: this program reinforcing the message, kind of like the Monoclonallanta 257 00:14:30,960 --> 00:14:34,240 Speaker 1: body message, and it probably has taken four years for 258 00:14:34,360 --> 00:14:36,440 Speaker 1: some of you that have been reluctant and resistant. But 259 00:14:36,480 --> 00:14:39,360 Speaker 1: you can't start out election day. I argue, I don't 260 00:14:39,400 --> 00:14:41,520 Speaker 1: like these rules, but you have to win elections to 261 00:14:41,640 --> 00:14:45,720 Speaker 1: change them. But you can't start out down hundreds of 262 00:14:45,720 --> 00:14:51,640 Speaker 1: thousands of votes. So former Atlanta Mayor Keisha Land's Bottoms 263 00:14:51,880 --> 00:14:55,640 Speaker 1: argued Friday that the reason the Vice President Kamala Harris 264 00:14:55,640 --> 00:14:58,760 Speaker 1: has done so few media interviews is because she's very, 265 00:14:58,880 --> 00:15:02,200 Speaker 1: very busy, and she's on pace now to grant the 266 00:15:02,200 --> 00:15:07,840 Speaker 1: fewest interviews of any major party presidential nominee ever. And 267 00:15:07,880 --> 00:15:11,600 Speaker 1: she's rightly been slammed by both allies and critics, you know, 268 00:15:11,760 --> 00:15:14,920 Speaker 1: for barely sitting down and doing anything. And and by 269 00:15:14,960 --> 00:15:17,840 Speaker 1: the way, this whole oh, let's debate on fake New 270 00:15:17,920 --> 00:15:20,200 Speaker 1: c ANDM. We only did what democrats only debate on 271 00:15:20,240 --> 00:15:23,440 Speaker 1: liberal networks when Fox offered her a debate that she 272 00:15:23,600 --> 00:15:27,480 Speaker 1: outright rejected, and has offered her other debates to be 273 00:15:27,560 --> 00:15:31,440 Speaker 1: hosted by Brett Bhaer Martha McCallum that she has outright rejected. 274 00:15:32,240 --> 00:15:35,280 Speaker 1: Of course, the media doesn't care about that. I mean, 275 00:15:35,320 --> 00:15:39,280 Speaker 1: I love the media. They're trying to tie Donald Trump 276 00:15:39,280 --> 00:15:41,800 Speaker 1: to those North Carolina gubernatorial candidate. Are they going to 277 00:15:41,920 --> 00:15:45,320 Speaker 1: now the same media? Are they going to tie Kamala 278 00:15:45,400 --> 00:15:49,680 Speaker 1: Harris and her effusive praise for you know, mister freak 279 00:15:49,680 --> 00:15:53,800 Speaker 1: off himself, you know, p Diddy because she praised him. 280 00:15:54,360 --> 00:15:58,640 Speaker 1: I mean, oh, oh, did Donald Trump know anything? No 281 00:15:58,640 --> 00:16:02,680 Speaker 1: nobody in North Carolina knew about these alleged comments that 282 00:16:02,760 --> 00:16:06,520 Speaker 1: were supposedly made. Although Robinson, I guess said today that 283 00:16:06,600 --> 00:16:09,800 Speaker 1: he's denying it and is going to sue. But apparently 284 00:16:09,800 --> 00:16:12,080 Speaker 1: people around him may not believe him because they apparently 285 00:16:12,160 --> 00:16:14,600 Speaker 1: left his campaign. That has nothing to do with Donald 286 00:16:14,640 --> 00:16:17,360 Speaker 1: Trump and the fact that he heard one speech and 287 00:16:17,440 --> 00:16:21,120 Speaker 1: praised the speech. If he had known, he never would have, 288 00:16:21,320 --> 00:16:23,960 Speaker 1: just like I doubt if Kamala Harris and I'm going 289 00:16:24,000 --> 00:16:26,560 Speaker 1: to be fair here and I am which is something 290 00:16:26,600 --> 00:16:29,120 Speaker 1: the mob in the media never is. I don't think 291 00:16:29,320 --> 00:16:32,160 Speaker 1: if had she known about you know, freak off P 292 00:16:32,360 --> 00:16:34,640 Speaker 1: Diddy and the allegations that would come out against him, 293 00:16:34,640 --> 00:16:37,080 Speaker 1: that she ever would have praised him. But it's the 294 00:16:37,120 --> 00:16:40,800 Speaker 1: same thing, but it's covered differently. Oh, you'll be very 295 00:16:40,960 --> 00:16:44,760 Speaker 1: very happy to know that nine high ranking former national 296 00:16:44,800 --> 00:16:49,280 Speaker 1: security and military officials who signed a letter on Sunday 297 00:16:49,320 --> 00:16:52,880 Speaker 1: endorsing Vice President Harris in a run for office included 298 00:16:52,960 --> 00:16:58,280 Speaker 1: Leon Panetta, who actually said that the attack used by 299 00:16:58,400 --> 00:17:04,240 Speaker 1: Israel against Hezballah members at Elebanon that have been firing 300 00:17:04,480 --> 00:17:08,800 Speaker 1: rockets into Israel, you know, hundreds and hundreds and hundreds 301 00:17:08,840 --> 00:17:11,399 Speaker 1: of them, and the pages that what he called it 302 00:17:11,440 --> 00:17:14,600 Speaker 1: a terror attack. But you got Panetta signing the letter, 303 00:17:14,640 --> 00:17:17,320 Speaker 1: Clapper signing the letter, Brennan signing the letter. Gee, what 304 00:17:17,400 --> 00:17:17,879 Speaker 1: a shock. 305 00:17:18,600 --> 00:17:18,800 Speaker 2: You know. 306 00:17:18,920 --> 00:17:21,720 Speaker 1: Four years ago they're the same people that dismissed the 307 00:17:21,880 --> 00:17:26,879 Speaker 1: very real infamous Hunter Biden laptop is Russian disinformation, and 308 00:17:26,920 --> 00:17:29,040 Speaker 1: none of them knew a damn thing about the laptop. 309 00:17:29,119 --> 00:17:32,360 Speaker 1: None of them even looked at the laptop. But they 310 00:17:32,400 --> 00:17:34,520 Speaker 1: did it to give Joe a talking point because wink 311 00:17:34,560 --> 00:17:37,440 Speaker 1: and Tony Blinken asked them to do it, and they 312 00:17:37,520 --> 00:17:40,679 Speaker 1: just didn't want Trump to win. You know, there is 313 00:17:40,840 --> 00:17:45,560 Speaker 1: a major IRS affiliated union that just endorsed Kamala Harris 314 00:17:45,600 --> 00:17:49,640 Speaker 1: of course, because they want what eighty seven thousand more 315 00:17:49,680 --> 00:17:54,320 Speaker 1: agents to harass Americans and make sure you pay every 316 00:17:54,400 --> 00:17:59,200 Speaker 1: penny you can pay on tips on service workers. It's insane. Well, 317 00:17:59,359 --> 00:18:04,240 Speaker 1: kamaas say she switched. I don't believe her. Anyway, we have, 318 00:18:06,000 --> 00:18:08,800 Speaker 1: you know a lot of other news that we have 319 00:18:08,880 --> 00:18:13,160 Speaker 1: blood thirsty of blood thirsty Venezuelan gang. By the way, 320 00:18:13,160 --> 00:18:17,199 Speaker 1: it's not just Aurora, Colorado and Springfield, Missouri. What bothers 321 00:18:17,240 --> 00:18:19,639 Speaker 1: me about this? And this gets to the heart of 322 00:18:19,680 --> 00:18:21,879 Speaker 1: my argument of what Donald Trump is up against in 323 00:18:21,960 --> 00:18:24,920 Speaker 1: this election. You know, he goes they tried to make 324 00:18:24,920 --> 00:18:29,639 Speaker 1: the biggest deal after he's literally sambagged in his first 325 00:18:29,720 --> 00:18:32,960 Speaker 1: question at the National Association of Black Journalists, and it 326 00:18:32,960 --> 00:18:35,000 Speaker 1: becomes a story that goes on for days and days 327 00:18:35,000 --> 00:18:38,320 Speaker 1: and days and days and days, or JD. Vance makes 328 00:18:38,359 --> 00:18:42,160 Speaker 1: an old comment about cats, and they're still asking about 329 00:18:42,200 --> 00:18:45,520 Speaker 1: that story, you know, months later. You know, in the 330 00:18:45,600 --> 00:18:49,160 Speaker 1: debate they only fact check one person, Donald Trump. And 331 00:18:49,359 --> 00:18:51,359 Speaker 1: I can give you the list of lies. We've covered 332 00:18:51,359 --> 00:18:54,040 Speaker 1: them over and over again on this program that she 333 00:18:54,200 --> 00:18:56,840 Speaker 1: told in that debate. She lies about Trump in twenty 334 00:18:56,920 --> 00:18:59,520 Speaker 1: twenty five Project twenty twenty five. I don't even know 335 00:18:59,520 --> 00:19:02,280 Speaker 1: what Project twenty twenty five is. I've never talked to 336 00:19:02,280 --> 00:19:04,280 Speaker 1: anybody involved in it, and I have no idea what it, 337 00:19:04,520 --> 00:19:07,760 Speaker 1: none whatsoever, and I have no desire to know with it. 338 00:19:07,920 --> 00:19:10,000 Speaker 1: All Trump said is it's not my agenda and I 339 00:19:10,040 --> 00:19:11,800 Speaker 1: have nothing to do with it. Never read it, never 340 00:19:11,880 --> 00:19:14,639 Speaker 1: touched it, not a part of it. But they just 341 00:19:14,720 --> 00:19:17,040 Speaker 1: keep telling that, Lila. It's just like they demagogue and 342 00:19:17,119 --> 00:19:20,800 Speaker 1: lie about Trump and abortion. He'll sign a bills eliminating 343 00:19:20,800 --> 00:19:25,280 Speaker 1: abortion in America. No, he won't, he's been president. I 344 00:19:25,280 --> 00:19:27,440 Speaker 1: want to talk about a threat to the democracy. Is 345 00:19:27,640 --> 00:19:31,680 Speaker 1: all the propaganda lies, in disinformation of a corrupt media mob. 346 00:19:32,640 --> 00:19:37,359 Speaker 1: You know, you know, we have Kamala in her own words, 347 00:19:37,800 --> 00:19:41,359 Speaker 1: We have Kamala's actions over the years We put together 348 00:19:41,440 --> 00:19:44,640 Speaker 1: the Kamala files the Walls files as a public service 349 00:19:45,000 --> 00:19:48,280 Speaker 1: because the mob, the state run media will never cover it. 350 00:19:48,880 --> 00:19:53,280 Speaker 1: We have her on record as co sponsoring the New 351 00:19:53,320 --> 00:19:57,760 Speaker 1: Green Deal ninety three trillion dollars, which would destroy capitalism 352 00:19:58,040 --> 00:20:01,520 Speaker 1: and saying she'd eliminate the filibuster to pass it. And 353 00:20:01,560 --> 00:20:04,800 Speaker 1: she sponsored that with Bernie Sanders, just like she co 354 00:20:04,880 --> 00:20:08,160 Speaker 1: sponsored the government Healthcare for All Medicare for All bill 355 00:20:08,280 --> 00:20:12,120 Speaker 1: universal healthcare and set on tape she would eliminate private 356 00:20:12,240 --> 00:20:18,160 Speaker 1: health insurance. We see what's happening in Springfield, Ohio, Aurora, Colorado, 357 00:20:18,560 --> 00:20:22,879 Speaker 1: in small towns and big cities. Now Venezuelan gangs literally 358 00:20:22,960 --> 00:20:25,280 Speaker 1: taking over New York. I should see the front cover 359 00:20:25,280 --> 00:20:29,439 Speaker 1: of the New York Post today. It's not pretty. And meanwhile, 360 00:20:29,760 --> 00:20:33,359 Speaker 1: the media have they ever have they ever mentioned the 361 00:20:33,440 --> 00:20:38,000 Speaker 1: dozens of Americans that have been murdered, the dozens of Americans, 362 00:20:38,080 --> 00:20:42,200 Speaker 1: including young children, that have been raped, the hundreds of 363 00:20:42,280 --> 00:20:47,040 Speaker 1: Americans that have been victims of violent crimes by Harris Biden, 364 00:20:47,240 --> 00:20:51,240 Speaker 1: unvetted illegal immigrants from one hundred and eighty countries, including 365 00:20:51,240 --> 00:20:56,240 Speaker 1: our top geopolitical foes and countries would terroritize. Never have 366 00:20:56,359 --> 00:20:59,080 Speaker 1: they ever mentioned the hundreds of people that they have 367 00:20:59,119 --> 00:21:03,120 Speaker 1: allowed into this country that we know have terroriortize from 368 00:21:03,160 --> 00:21:06,680 Speaker 1: countries that have terroriortized, and that we don't know where 369 00:21:06,760 --> 00:21:11,280 Speaker 1: they are. You known't forget about her promise for you know, oh, 370 00:21:11,400 --> 00:21:15,840 Speaker 1: earned citizenship or earned pathway to citizen that's called amnesty, 371 00:21:16,760 --> 00:21:20,640 Speaker 1: or free housing or free healthcare or free education. Anybody 372 00:21:20,640 --> 00:21:23,440 Speaker 1: in the media ever going to mention that, or free 373 00:21:23,440 --> 00:21:27,439 Speaker 1: sex change operations the courtesy of you the taxpayer that 374 00:21:27,560 --> 00:21:32,560 Speaker 1: Kamala Harris supports. They ever mentioned America's real suffering when 375 00:21:32,560 --> 00:21:36,479 Speaker 1: they go to grocery stores and they're shopping, and what 376 00:21:36,520 --> 00:21:40,239 Speaker 1: their inflation has done to families all across their country. 377 00:21:40,320 --> 00:21:43,199 Speaker 1: You know, she says it's the cost of democracy. Higher 378 00:21:43,400 --> 00:21:49,240 Speaker 1: energy bills because of her environmental environmental radicalism, and every 379 00:21:49,280 --> 00:21:52,800 Speaker 1: time people fill up their cars would pay their electric bill, 380 00:21:53,359 --> 00:21:55,920 Speaker 1: it's higher than they've ever paid. And that the real 381 00:21:55,960 --> 00:21:59,359 Speaker 1: impact of Biden inflation or the impact of high interest 382 00:21:59,440 --> 00:22:02,920 Speaker 1: rates prevent so many Americans from buying a house. There's 383 00:22:02,960 --> 00:22:06,639 Speaker 1: no coverage in the media of any of this. And again, 384 00:22:06,800 --> 00:22:09,320 Speaker 1: never mind the support of the New Green Deal, the 385 00:22:09,400 --> 00:22:12,800 Speaker 1: largest tax increase in history, the elimination of private healthcare, 386 00:22:13,600 --> 00:22:16,119 Speaker 1: all of this, She's going to fix, implatient immigration on 387 00:22:16,200 --> 00:22:21,480 Speaker 1: day one. Day one was January twenty at twenty twenty one. Americans. Now, 388 00:22:21,560 --> 00:22:27,520 Speaker 1: this is a media created mirage, you know, protected. They're 389 00:22:27,560 --> 00:22:33,000 Speaker 1: protecting her in ways I've never seen in my life. 390 00:22:33,080 --> 00:22:37,240 Speaker 1: They've created a false image of a candidate of joy 391 00:22:37,400 --> 00:22:41,320 Speaker 1: and freedom with no real questions. It is beyond a 392 00:22:41,400 --> 00:22:46,240 Speaker 1: disservice to the American people. It is. It is scary 393 00:22:46,840 --> 00:22:50,480 Speaker 1: what they're doing. You know, now we're going to what 394 00:22:51,040 --> 00:22:53,400 Speaker 1: hire all these IRS agents? By the way, you've ever 395 00:22:53,440 --> 00:22:55,520 Speaker 1: had an order from the IRS? Paining the ass and 396 00:22:55,600 --> 00:22:59,439 Speaker 1: cost your fortune even when you're completely innocent. I always 397 00:22:59,440 --> 00:23:03,159 Speaker 1: tell people pay your taxes the matter of when, not 398 00:23:03,320 --> 00:23:06,800 Speaker 1: if they're going to come after you. He hasn't done 399 00:23:06,840 --> 00:23:10,360 Speaker 1: a formal press conference since submerging sixty four days ago 400 00:23:10,359 --> 00:23:15,440 Speaker 1: as the Democratic nominee, dodging questions even Democrats and now 401 00:23:15,480 --> 00:23:19,280 Speaker 1: Wall Street journals Peggy Noonan suggesting voters now have a 402 00:23:19,400 --> 00:23:23,280 Speaker 1: choice between awful and empty. She hates Donald Trump, That's fine, 403 00:23:24,119 --> 00:23:27,600 Speaker 1: but you know the point is he's empty and we 404 00:23:27,680 --> 00:23:29,919 Speaker 1: know the real Kamala Harris because we have her in 405 00:23:29,960 --> 00:23:32,000 Speaker 1: her own words, but nobody will dare ask her a 406 00:23:32,080 --> 00:23:36,680 Speaker 1: question about it. You know, she owes this country answers, 407 00:23:36,720 --> 00:23:38,960 Speaker 1: and the media ought to be demanding it, but they're 408 00:23:39,000 --> 00:23:43,520 Speaker 1: so corrupt they won't. Anyone here Walls this weekend declaring 409 00:23:43,600 --> 00:23:47,000 Speaker 1: we can't afford four more years of this. That's the 410 00:23:47,040 --> 00:23:49,080 Speaker 1: only thing this guy's ever said that I agree with. 411 00:23:50,000 --> 00:23:52,159 Speaker 1: I don't agree with his position. I'm not calling in 412 00:23:52,160 --> 00:23:55,920 Speaker 1: the National Guarden in the summer of twenty twenty and opening, 413 00:23:57,080 --> 00:23:59,800 Speaker 1: you know, the windows to their family homes so they 414 00:23:59,840 --> 00:24:03,800 Speaker 1: can smell burning rubber from the rioting, or Kamala Harris 415 00:24:03,960 --> 00:24:07,080 Speaker 1: tweeting out the bail fund four days after police precinct 416 00:24:07,200 --> 00:24:10,160 Speaker 1: is burned to the ground and saying on Colbert that 417 00:24:10,200 --> 00:24:12,679 Speaker 1: the rioters are not going to stop and shouldn't stop, 418 00:24:12,680 --> 00:24:14,000 Speaker 1: and that she's not going to stop. 419 00:24:14,440 --> 00:24:17,520 Speaker 2: Look, Kamala Harris made it clear, these guys want to 420 00:24:17,520 --> 00:24:20,680 Speaker 2: instill fear. They want to tell you that just get 421 00:24:20,720 --> 00:24:22,639 Speaker 2: over it. It's a fact of life. This is the 422 00:24:22,640 --> 00:24:25,840 Speaker 2: way it is. She simply has said, it doesn't have 423 00:24:26,080 --> 00:24:28,800 Speaker 2: to be this way. It doesn't have to be this way. 424 00:24:29,400 --> 00:24:35,600 Speaker 2: We can't afford, we can't afford four more years of this, 425 00:24:35,680 --> 00:24:36,680 Speaker 2: and I've been saying it. 426 00:24:38,560 --> 00:24:41,320 Speaker 1: You're right, we can't afford four more years of Joe 427 00:24:41,320 --> 00:24:44,080 Speaker 1: Biden and Kamala Harris. And he's more left. He's the 428 00:24:44,080 --> 00:24:47,280 Speaker 1: guy that wants to put feminine products in boys' bathrooms 429 00:24:47,320 --> 00:24:51,280 Speaker 1: and give legal drivers' licenses to illegals and free college 430 00:24:51,400 --> 00:24:56,479 Speaker 1: education to illegals on top of you know, sex change 431 00:24:57,119 --> 00:25:02,320 Speaker 1: care without parental consent. He didn't answer Kamala and either 432 00:25:02,400 --> 00:25:06,800 Speaker 1: the Oprah Winfrey interview with the National Association of Black Journalists, 433 00:25:06,800 --> 00:25:12,080 Speaker 1: she doesn't answer a single question and nobody, nobody is 434 00:25:12,160 --> 00:25:16,080 Speaker 1: telling people what she has said she believes in her 435 00:25:16,119 --> 00:25:18,639 Speaker 1: own words again as a public service. It's all on 436 00:25:18,680 --> 00:25:22,680 Speaker 1: Hannity dot com. You know, we can't afford four more 437 00:25:22,760 --> 00:25:26,119 Speaker 1: years of this. That's about the only thing that Walls 438 00:25:26,119 --> 00:25:29,000 Speaker 1: has ever said that I agree with, you know, I 439 00:25:29,000 --> 00:25:32,679 Speaker 1: mean Victor Davis Hansen. Can Harris's cynical run out the 440 00:25:32,880 --> 00:25:37,199 Speaker 1: clock campaign succeed well? Early voting has started to some 441 00:25:37,440 --> 00:25:42,840 Speaker 1: level at succeeding. I believe that it's slowly penetrating into 442 00:25:42,880 --> 00:25:47,840 Speaker 1: the consciousness of the American people. Some of the radicalism. 443 00:25:48,000 --> 00:25:50,320 Speaker 1: By the way, Kamala wasn't the only one to praise 444 00:25:50,359 --> 00:25:53,480 Speaker 1: p did he, so did AOC and Al Sharpton, But 445 00:25:53,560 --> 00:25:56,199 Speaker 1: they only want to talk about Donald Trump and a 446 00:25:56,280 --> 00:26:00,760 Speaker 1: Republican gubernatorial candidate in North Carolina. Had Trump down, he 447 00:26:00,800 --> 00:26:03,440 Speaker 1: wouldn't have supported the guy, just like every other Republican 448 00:26:03,440 --> 00:26:06,280 Speaker 1: has basically said, well, prove us, prove it wrong, or 449 00:26:06,280 --> 00:26:09,600 Speaker 1: forget it. You have more video, will play it later 450 00:26:09,640 --> 00:26:12,760 Speaker 1: in the program of more support of her ban on fracking. 451 00:26:12,840 --> 00:26:15,800 Speaker 1: She did this on the Tonight's Show with Jimmy Fallon. 452 00:26:16,480 --> 00:26:19,240 Speaker 1: Look at this. Ethan sent this to me today. US 453 00:26:19,280 --> 00:26:23,119 Speaker 1: home price to median household income ratio is now at 454 00:26:23,160 --> 00:26:26,760 Speaker 1: seven point two times, which is a new all time high. 455 00:26:27,640 --> 00:26:29,920 Speaker 1: That means the average single family home in the US 456 00:26:29,960 --> 00:26:34,479 Speaker 1: now costs more than seven times the median annual household income. 457 00:26:34,520 --> 00:26:37,600 Speaker 1: The ratio is officially above seven point one percent, recorded 458 00:26:37,640 --> 00:26:42,320 Speaker 1: in twenty twenty two. I mean, even during the before 459 00:26:42,359 --> 00:26:46,800 Speaker 1: the pandemic, the ratio was at like five percent, you know. 460 00:26:46,880 --> 00:26:49,520 Speaker 1: And one of the key issues in Pennsylvania is that 461 00:26:49,600 --> 00:26:54,400 Speaker 1: the economy and Pennsylvania experienced, you know, the highest grocery 462 00:26:54,440 --> 00:26:58,040 Speaker 1: inflation rate in the country last year, eight point two 463 00:26:58,080 --> 00:27:01,119 Speaker 1: percent year over year. Don't worry Kamalo is going to 464 00:27:01,160 --> 00:27:03,320 Speaker 1: fix it on day one. We're supposed to believe that 465 00:27:03,880 --> 00:27:06,320 Speaker 1: we're supposed to believe. After saying over and over again 466 00:27:06,400 --> 00:27:08,600 Speaker 1: she'll ban fracking that she's now all of a sudden 467 00:27:08,680 --> 00:27:12,600 Speaker 1: going to really support fracking. Has anyone taken a look 468 00:27:12,640 --> 00:27:15,480 Speaker 1: at all of these tax proposals to raise taxes on 469 00:27:15,560 --> 00:27:20,760 Speaker 1: small business corporations, wealth tax, estate tax, capital gains tax, 470 00:27:20,840 --> 00:27:24,400 Speaker 1: unrealized capital gains tax. You know you have all these 471 00:27:24,440 --> 00:27:28,560 Speaker 1: build to rent communities growing a US trend because of 472 00:27:28,600 --> 00:27:30,920 Speaker 1: sky high housing costs, so people can live in a 473 00:27:31,000 --> 00:27:33,880 Speaker 1: home even though they can't afford the high interest rates. 474 00:27:33,920 --> 00:27:37,200 Speaker 1: And don't give me this fifty basis point Jerome Powell 475 00:27:38,080 --> 00:27:41,200 Speaker 1: campaign donation to Kamala Harris, because I'm not buying that either. 476 00:27:41,920 --> 00:27:44,840 Speaker 1: By the way, Harris, illegals are now running a brothel 477 00:27:44,880 --> 00:27:47,719 Speaker 1: across the street from a Queens, New York elementary school. 478 00:27:48,240 --> 00:27:53,119 Speaker 1: Venezuelan gang's taking over in New York. Big Apple is 479 00:27:53,160 --> 00:27:58,560 Speaker 1: a print which is a Venezuelan gang that's basically taking 480 00:27:58,560 --> 00:28:04,240 Speaker 1: over the entire city of New York. Unbelievable, all right, 481 00:28:04,400 --> 00:28:06,239 Speaker 1: one of the worst jobs. My father gave me as 482 00:28:06,280 --> 00:28:08,640 Speaker 1: a kid, and I wasn't cutting the lawn or shoveling snow, 483 00:28:08,720 --> 00:28:10,879 Speaker 1: was getting on a ladder and cleaning out the gutters. 484 00:28:10,960 --> 00:28:13,560 Speaker 1: You know, the mud, the mud, muck, and the leaves. 485 00:28:14,040 --> 00:28:15,320 Speaker 1: And I had to do it a couple of times 486 00:28:15,359 --> 00:28:17,800 Speaker 1: a year. I hated. It is a permanent solution that 487 00:28:17,840 --> 00:28:19,400 Speaker 1: you never have to do it again. And it's called 488 00:28:19,480 --> 00:28:22,160 Speaker 1: leaf Filter. 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