1 00:00:05,160 --> 00:00:08,200 Speaker 1: This is what happens when the fourth Turning meets fifth 2 00:00:08,240 --> 00:00:12,520 Speaker 1: generation warfare. 3 00:00:14,320 --> 00:00:20,520 Speaker 2: A commentator, international social media sensation and former Navy intelligence veteran. 4 00:00:20,400 --> 00:00:23,520 Speaker 3: This is Human Events with your host Jack Prosovic. 5 00:00:23,640 --> 00:00:26,920 Speaker 4: Christ is Russian and American negotiators meeting for a new 6 00:00:27,000 --> 00:00:29,800 Speaker 4: round of peace talks in Saudi Arabia aimed at ending 7 00:00:29,800 --> 00:00:31,200 Speaker 4: the view or in Ukraine. 8 00:00:31,320 --> 00:00:32,479 Speaker 5: Both sides are now. 9 00:00:32,320 --> 00:00:35,360 Speaker 6: Hammering out details on the technical level, where the White 10 00:00:35,360 --> 00:00:39,080 Speaker 6: House still insisting Russian President Vladimir Putin is looking for 11 00:00:39,159 --> 00:00:40,640 Speaker 6: a deal to stop the finding. 12 00:00:40,680 --> 00:00:44,680 Speaker 2: President Donald Trump taking on countries for buying oil from Venezuela. 13 00:00:44,760 --> 00:00:48,080 Speaker 2: He is promising a twenty five percent tariff on all 14 00:00:48,200 --> 00:00:52,000 Speaker 2: imports for any country making purchases, along with new tariffs 15 00:00:52,040 --> 00:00:54,400 Speaker 2: on Venezuela itself starting next week. 16 00:00:54,520 --> 00:00:56,880 Speaker 4: I think Greenland's going to be something that maybe is 17 00:00:56,920 --> 00:00:57,560 Speaker 4: in our future. 18 00:00:57,680 --> 00:01:00,800 Speaker 6: President Trump is doubling down on his suggestion that the 19 00:01:00,880 --> 00:01:03,600 Speaker 6: US will play a larger role in the island's future. 20 00:01:03,840 --> 00:01:06,720 Speaker 6: Vice President j. D Vance's wife Usha, is scheduled to 21 00:01:06,800 --> 00:01:10,319 Speaker 6: visit the Danish territory Thursday, along with White House National 22 00:01:10,400 --> 00:01:14,440 Speaker 6: Security Advisor Mike Waltz and Energy Secretary Chris Wright. Vance 23 00:01:14,480 --> 00:01:17,240 Speaker 6: is set to attend a dog sled race while Waltz 24 00:01:17,280 --> 00:01:19,240 Speaker 6: towards a US military base. 25 00:01:19,040 --> 00:01:21,360 Speaker 7: And as President Donald Trump took off his new approval 26 00:01:21,440 --> 00:01:24,760 Speaker 7: ratings from online polling and analytics company Civic show forty 27 00:01:24,800 --> 00:01:27,600 Speaker 7: five percent of Americans approve of the president's job performance, 28 00:01:27,600 --> 00:01:29,959 Speaker 7: compared to fifty three percent that do not. USA Today 29 00:01:30,000 --> 00:01:32,360 Speaker 7: reports that Trump's approval ratings have not shown a major 30 00:01:32,400 --> 00:01:34,720 Speaker 7: shift from the beginning of his term or compared with 31 00:01:34,760 --> 00:01:36,320 Speaker 7: his first term. 32 00:01:36,840 --> 00:01:38,920 Speaker 1: Well, ladies and John and welcome ward. Today's edition of 33 00:01:39,120 --> 00:01:43,080 Speaker 1: Human Events Daily Today is March twenty fifth, twenty twenty 34 00:01:43,080 --> 00:01:48,160 Speaker 1: five Anno Domine Signal date. Signal date is the talk 35 00:01:48,400 --> 00:01:51,600 Speaker 1: of the town. After we wrapped the show yesterday, I 36 00:01:51,680 --> 00:01:54,520 Speaker 1: heard about this. My phone started blowing up. No, it 37 00:01:54,680 --> 00:01:58,680 Speaker 1: wasn't Jeff Goldberg calling me. In fact, I don't even 38 00:01:58,680 --> 00:02:04,160 Speaker 1: have his phone number in my phone and I checked, Hey, Jack, 39 00:02:04,240 --> 00:02:06,960 Speaker 1: I've never had his number in my phone at all. 40 00:02:07,600 --> 00:02:10,240 Speaker 1: So people were looking at this. People are saying, how 41 00:02:10,280 --> 00:02:13,160 Speaker 1: could the administration do this? How could this be set 42 00:02:13,200 --> 00:02:15,720 Speaker 1: up the way that it is. How could this guy 43 00:02:15,760 --> 00:02:19,280 Speaker 1: get added to a chat with the highest level principles 44 00:02:19,320 --> 00:02:23,960 Speaker 1: going after this discussing issues of state, issues of warfare, 45 00:02:24,320 --> 00:02:27,959 Speaker 1: obviously planned before the strikes took place. Even though I 46 00:02:27,960 --> 00:02:30,360 Speaker 1: think people knew the strinths were going to take place, 47 00:02:30,400 --> 00:02:32,920 Speaker 1: they were ongoing. So I think that's part of it. 48 00:02:32,960 --> 00:02:35,760 Speaker 1: Look at the end of the day, as simple as this, 49 00:02:36,440 --> 00:02:40,680 Speaker 1: adding a reporter like that to that like this, it's 50 00:02:40,680 --> 00:02:45,840 Speaker 1: a non starter. It's absolute on starter that period, full stop. 51 00:02:46,040 --> 00:02:47,920 Speaker 1: There's no question about it. Look, if we're going to 52 00:02:47,919 --> 00:02:52,000 Speaker 1: be the people who meant after Silvery's emails, we also 53 00:02:52,120 --> 00:02:56,560 Speaker 1: have to be honest about this. That level of being 54 00:02:56,600 --> 00:03:00,960 Speaker 1: able to have compromise, allowing compromise an onn start. It's 55 00:03:01,160 --> 00:03:04,400 Speaker 1: just an onn starter. That said, I see people going 56 00:03:04,400 --> 00:03:07,240 Speaker 1: after Vice President jd Vance on all of this, and 57 00:03:07,480 --> 00:03:10,360 Speaker 1: I'm looking at it saying, oh, jd Vance, you know 58 00:03:10,400 --> 00:03:13,959 Speaker 1: Mark Tieson, was he saying this the neo cod you know? Oh, 59 00:03:14,120 --> 00:03:16,440 Speaker 1: how dare jd Vance have a difference of opinion on 60 00:03:16,480 --> 00:03:19,200 Speaker 1: the hoopies? And it's like, I read his opinion. I 61 00:03:19,200 --> 00:03:22,040 Speaker 1: thought it was well thought out. I thought it was analytic. 62 00:03:22,240 --> 00:03:24,120 Speaker 1: I think he was trying to weigh strategy. I think 63 00:03:24,120 --> 00:03:25,760 Speaker 1: he was trying to weigh messaging. I think he was 64 00:03:25,760 --> 00:03:29,520 Speaker 1: trying to understand overall Commander's desire to end state, and 65 00:03:29,560 --> 00:03:32,680 Speaker 1: he was weighing it against other things that President Trump 66 00:03:32,760 --> 00:03:36,160 Speaker 1: had said, but also saying that he wanted to be 67 00:03:36,200 --> 00:03:39,640 Speaker 1: able to serve the President in the best way possible 68 00:03:39,720 --> 00:03:42,839 Speaker 1: and make sure the overall mission was served as long 69 00:03:42,880 --> 00:03:47,520 Speaker 1: as he would publicly back hit exactly what the job 70 00:03:47,640 --> 00:03:52,240 Speaker 1: of the vice president is. That's what Mike Pense never understood. 71 00:03:52,680 --> 00:03:56,560 Speaker 1: Your role is supposed to be subordinate and supportive to 72 00:03:56,680 --> 00:04:00,440 Speaker 1: the president, meaning when you have an idea or when 73 00:04:00,480 --> 00:04:04,240 Speaker 1: you have a potential difference of opinion on a certain action, 74 00:04:04,720 --> 00:04:08,920 Speaker 1: you present that to the president in a constructive manner. 75 00:04:09,080 --> 00:04:12,320 Speaker 1: Or example of what we see right here. It's a 76 00:04:12,360 --> 00:04:18,880 Speaker 1: fascinating discussion between the principles to understand how these affairs 77 00:04:18,920 --> 00:04:23,200 Speaker 1: take place. I love the idea of Europe having to 78 00:04:23,200 --> 00:04:26,039 Speaker 1: pay for this, having to give economic concessions because most 79 00:04:26,080 --> 00:04:27,840 Speaker 1: of the trade going through the Red Sea. It's like 80 00:04:28,040 --> 00:04:30,200 Speaker 1: Europe far more than the United States. Of course, we 81 00:04:30,240 --> 00:04:33,000 Speaker 1: talk about the Red Sea here on this program pretty 82 00:04:33,080 --> 00:04:36,640 Speaker 1: much every day, and so the people attacking data evans 83 00:04:36,880 --> 00:04:40,359 Speaker 1: are completely out to less field. They're out to lunch 84 00:04:40,480 --> 00:04:43,440 Speaker 1: on this. But again, as I say, adding a reporter 85 00:04:43,560 --> 00:04:47,080 Speaker 1: like a non starter. Biggest question of all, why don't 86 00:04:47,120 --> 00:04:51,040 Speaker 1: we have secure apps in the government. Maybe those can 87 00:04:51,080 --> 00:04:54,479 Speaker 1: commit and fix something to actually allow for this level 88 00:04:54,480 --> 00:04:57,359 Speaker 1: of communication that it doesn't need to be on civilian 89 00:04:57,920 --> 00:04:59,680 Speaker 1: to the right, back to bed failu. 90 00:05:10,360 --> 00:05:13,440 Speaker 4: Nothing will stand in our way, and our golden age 91 00:05:13,480 --> 00:05:14,440 Speaker 4: has just begun. 92 00:05:14,720 --> 00:05:16,479 Speaker 3: This is Human Events with Jack Posovic. 93 00:05:16,600 --> 00:05:20,240 Speaker 8: Now it's time for everyone to understand what America First 94 00:05:20,240 --> 00:05:20,960 Speaker 8: truly means. 95 00:05:21,200 --> 00:05:27,840 Speaker 1: Welcome to the Second American Revolution on folks, that we're 96 00:05:27,880 --> 00:05:31,160 Speaker 1: back here Human Events Daily. Want to also bring in 97 00:05:31,320 --> 00:05:35,080 Speaker 1: our three of the Charlie Kirk program on the Salem 98 00:05:35,320 --> 00:05:39,760 Speaker 1: Radio Network. Folks, what if the next global health crisis 99 00:05:39,839 --> 00:05:42,080 Speaker 1: isn't just a pandemic? What if it's part of an 100 00:05:42,160 --> 00:05:46,839 Speaker 1: actually much darker plan. We know that the left, the 101 00:05:46,880 --> 00:05:49,240 Speaker 1: deep state would do anything to undermine the Trump his 102 00:05:49,240 --> 00:05:53,359 Speaker 1: administration presidency. That's exactly what the Tesla terrorists and the 103 00:05:53,360 --> 00:05:55,919 Speaker 1: rest of them are all about. Well, it's no coincidence 104 00:05:56,040 --> 00:05:58,920 Speaker 1: that doctor Anthony Fauci's part and started on January first, 105 00:05:58,920 --> 00:06:02,040 Speaker 1: twenty fourteen. This mark pivotal moment in history, the year 106 00:06:02,040 --> 00:06:05,800 Speaker 1: of the Obama administration and four letter agencies took control 107 00:06:05,839 --> 00:06:08,800 Speaker 1: of Ukraine. In fact, the Three Letter agencies too shortly 108 00:06:08,839 --> 00:06:12,720 Speaker 1: after Fauci spearheaded controversial gain of function research on background 109 00:06:12,800 --> 00:06:18,719 Speaker 1: viruses and biolams. This is a strategic bioweapon, a threat 110 00:06:18,760 --> 00:06:21,159 Speaker 1: that's been brewing for over a decade. And don't tell 111 00:06:21,160 --> 00:06:23,719 Speaker 1: me for a second that the Chinese military wouldn't be 112 00:06:23,800 --> 00:06:27,839 Speaker 1: looking at that for bioweapons. And as if this wasn't 113 00:06:27,880 --> 00:06:32,599 Speaker 1: disturbing enough, new findings points advisor payments that were going 114 00:06:32,640 --> 00:06:37,119 Speaker 1: around through the FDA to disguise what they were really doing, 115 00:06:37,160 --> 00:06:40,679 Speaker 1: what they're really up to in there, this coordinated global 116 00:06:40,720 --> 00:06:44,080 Speaker 1: development wasn't just about public health. It's about power and 117 00:06:44,080 --> 00:06:48,080 Speaker 1: control profit. And incidentally, the media is sounding the alarm 118 00:06:48,200 --> 00:06:50,840 Speaker 1: about a new strain of gold fluit right now, one 119 00:06:50,880 --> 00:06:55,400 Speaker 1: that could spread rapidly, wiping out populations and overwhelming care systems. 120 00:06:55,720 --> 00:06:59,760 Speaker 1: This is why you need the Wellness Company's contagion emergency Chain. 121 00:07:00,200 --> 00:07:03,000 Speaker 1: Engineered by doctor Peter McCullough and his medical board and 122 00:07:03,120 --> 00:07:07,880 Speaker 1: doing five leg saving medications for chuck and ivermectin, roxy clorquin, tabaflu, 123 00:07:07,960 --> 00:07:10,360 Speaker 1: and a nebulizer. It's designed to protect you from the 124 00:07:10,400 --> 00:07:14,200 Speaker 1: next global trebet. Ordering is simple, fill out of digital 125 00:07:14,240 --> 00:07:17,000 Speaker 1: intake form and your kitarage in one to two weeks. 126 00:07:17,240 --> 00:07:19,600 Speaker 1: Don't wait for the next outbreak to catch you off guard. 127 00:07:19,760 --> 00:07:22,920 Speaker 1: Stay ready for the unit expected and to TWC dot 128 00:07:22,920 --> 00:07:25,720 Speaker 1: hell slash poso and use promo code POSO to say 129 00:07:25,800 --> 00:07:28,720 Speaker 1: thirty two dollars off plus free shipping. It's are only 130 00:07:28,760 --> 00:07:32,840 Speaker 1: available to US residents. Again, that's TWC dot health slash poso. 131 00:07:33,120 --> 00:07:35,520 Speaker 1: All right, folks, So it's been a minute since we've 132 00:07:35,560 --> 00:07:39,080 Speaker 1: had this next guest on the program here on Human 133 00:07:39,080 --> 00:07:42,120 Speaker 1: Events Daily and some schedule issues. He's got some new 134 00:07:42,200 --> 00:07:44,560 Speaker 1: time slots. We've got some new time stuff going on. 135 00:07:45,160 --> 00:07:48,080 Speaker 1: We figured out a way to make it happen. I'm 136 00:07:48,160 --> 00:07:50,640 Speaker 1: on the road, so it actually works out, ladies and 137 00:07:50,680 --> 00:07:56,640 Speaker 1: gentlemen returning Sureman Events Daily triumphantly to the People's fund 138 00:07:56,680 --> 00:07:58,920 Speaker 1: it Richard, all right, what's going on? 139 00:07:59,040 --> 00:08:02,200 Speaker 3: Rich Hey, Jacket's good to be back, brother. How you 140 00:08:02,200 --> 00:08:02,520 Speaker 3: been This. 141 00:08:02,640 --> 00:08:07,440 Speaker 1: Rob roll is going The audience is cheering. Fine people, 142 00:08:08,760 --> 00:08:14,280 Speaker 1: three turns? Rich What what's amazing to me? And I've 143 00:08:14,280 --> 00:08:17,440 Speaker 1: got to get you on about this because you look 144 00:08:17,520 --> 00:08:21,800 Speaker 1: what's going on to the polling industry right now and 145 00:08:21,840 --> 00:08:25,440 Speaker 1: in the last couple of weeks since the election, it's 146 00:08:25,600 --> 00:08:30,960 Speaker 1: you're seeing It's like, Rich, all the people that you targeted, 147 00:08:31,160 --> 00:08:35,200 Speaker 1: the Monmouth Pole, Rich, the Monmouth Pole has closed their 148 00:08:35,240 --> 00:08:39,400 Speaker 1: doors and Seltzer has retired. Five point thirty eight has 149 00:08:39,440 --> 00:08:42,760 Speaker 1: been shut down. These are all the people, all the 150 00:08:42,760 --> 00:08:44,520 Speaker 1: people that were we were told they were the gold 151 00:08:44,559 --> 00:08:46,640 Speaker 1: stand I remember all the eggheads were telling me these 152 00:08:46,640 --> 00:08:49,320 Speaker 1: are the gold standard, comb the pole, you gotta trust them. 153 00:08:49,559 --> 00:08:52,080 Speaker 1: And so she had the gold standard. That's the gold standard. 154 00:08:52,080 --> 00:08:54,160 Speaker 1: And people like which we missed something, do we miss 155 00:08:54,200 --> 00:08:56,440 Speaker 1: a big Kamala vote? We missed a big abortion army 156 00:08:56,520 --> 00:08:59,560 Speaker 1: vote going through and five thirty eight with the model 157 00:09:00,000 --> 00:09:02,040 Speaker 1: who was the one guy who was the one guy 158 00:09:02,160 --> 00:09:05,320 Speaker 1: all through twenty twenty four, especially through the fall, that 159 00:09:05,480 --> 00:09:09,760 Speaker 1: was just like they're liars, they're liars, they're all lying, 160 00:09:10,040 --> 00:09:12,800 Speaker 1: they're all playing games. And it was Rich Barris, the 161 00:09:12,880 --> 00:09:16,040 Speaker 1: one guy who has slimed, who was smeared, who has 162 00:09:16,080 --> 00:09:19,200 Speaker 1: attacked who they went after day after day after day. 163 00:09:19,720 --> 00:09:21,640 Speaker 1: And I got to just say, wait a minute, how 164 00:09:21,640 --> 00:09:24,840 Speaker 1: come all of you guys don't have jobs anymore? Donald 165 00:09:24,920 --> 00:09:28,560 Speaker 1: Trump is in office and Rich Barris, the people's pundit, 166 00:09:28,840 --> 00:09:32,200 Speaker 1: is still standing tall. Rich Barris take a victory. Let man, 167 00:09:32,240 --> 00:09:32,920 Speaker 1: you've earned. 168 00:09:32,720 --> 00:09:37,120 Speaker 3: It couldn't happen the worst people. I have absolutely no 169 00:09:37,280 --> 00:09:40,800 Speaker 3: sympathy for them whatsoever. And I like to consider myself 170 00:09:40,840 --> 00:09:43,640 Speaker 3: a pretty good Kristen Jacker. At least I try. We 171 00:09:43,720 --> 00:09:44,160 Speaker 3: all try. 172 00:09:44,160 --> 00:09:47,800 Speaker 8: We're all imperfect people. But they deserve this. They one 173 00:09:47,920 --> 00:09:49,280 Speaker 8: hundred percent deserved this. 174 00:09:49,440 --> 00:09:49,600 Speaker 3: You know. 175 00:09:49,640 --> 00:09:52,800 Speaker 8: In twenty sixteen, we were going through something as an industry. 176 00:09:52,800 --> 00:09:54,520 Speaker 3: It was a little bit tough to navigate. 177 00:09:54,600 --> 00:09:58,000 Speaker 8: But those of us who used new collection methods and 178 00:09:58,120 --> 00:10:01,560 Speaker 8: under tried to understand why people didn't answer pols anywhere, 179 00:10:01,559 --> 00:10:04,200 Speaker 8: the difficulties of it, and the differences in people and 180 00:10:04,200 --> 00:10:06,400 Speaker 8: who they are, and you know, why does one want 181 00:10:06,400 --> 00:10:08,040 Speaker 8: to be interviewed so much more than the other? 182 00:10:08,520 --> 00:10:10,600 Speaker 3: We did, okay, but it was only a few of us. 183 00:10:10,800 --> 00:10:13,360 Speaker 3: In twenty twenty, COVID came and it was difficult because 184 00:10:13,440 --> 00:10:15,599 Speaker 3: everybody was home. You had all of these zoomers and 185 00:10:15,640 --> 00:10:19,240 Speaker 3: professional class people signing up, especially for online panels, and 186 00:10:19,280 --> 00:10:21,840 Speaker 3: they're sitting there clicking out. They hate Donald Trump all day. 187 00:10:22,080 --> 00:10:24,079 Speaker 8: So it was a little bit difficult, and I understood 188 00:10:24,160 --> 00:10:27,280 Speaker 8: some of that, some of that, but twenty twenty. 189 00:10:27,000 --> 00:10:28,439 Speaker 3: Four was not hard. 190 00:10:28,840 --> 00:10:31,720 Speaker 8: If you had a response bias so bad that you 191 00:10:31,760 --> 00:10:34,240 Speaker 8: had Kamala Harris ahead in Iowa. Then you should not 192 00:10:34,320 --> 00:10:36,360 Speaker 8: be a public polster. You shouldn't be a polster at 193 00:10:36,400 --> 00:10:39,560 Speaker 8: all for anyone. If you thought in any way, shape 194 00:10:39,640 --> 00:10:42,040 Speaker 8: or form that after the debate there was a bump 195 00:10:42,080 --> 00:10:45,400 Speaker 8: for Kamala Harris and she was gonna suddenly ahead and 196 00:10:45,720 --> 00:10:48,680 Speaker 8: had the edge and in this election, you should not 197 00:10:48,760 --> 00:10:49,360 Speaker 8: be a polster. 198 00:10:49,840 --> 00:10:52,320 Speaker 3: The truth is, public opinion does not move like this. 199 00:10:52,600 --> 00:10:57,880 Speaker 8: It doesn't move as dramatically as these polsters suggest. 200 00:10:57,559 --> 00:10:59,840 Speaker 3: And that is narrative polling. And now we know, by 201 00:10:59,880 --> 00:11:01,960 Speaker 3: the way, I mean with with. 202 00:11:01,640 --> 00:11:04,000 Speaker 8: Some of the government funding we've seen Jack, we know 203 00:11:04,760 --> 00:11:08,840 Speaker 8: that some of these people are funded by incredibly odd 204 00:11:08,880 --> 00:11:11,520 Speaker 8: it's just odd, you know, sources. 205 00:11:11,559 --> 00:11:13,240 Speaker 3: And I would never do. 206 00:11:14,120 --> 00:11:16,920 Speaker 8: Something like that or get myself involved, especially not my 207 00:11:17,040 --> 00:11:21,559 Speaker 8: public work, you know, with. 208 00:11:20,240 --> 00:11:23,360 Speaker 3: An arrangement that they have in some of these polling outfits. 209 00:11:23,720 --> 00:11:26,840 Speaker 3: And the bottom line is, I mean, if we ever 210 00:11:26,960 --> 00:11:30,680 Speaker 3: thought that there was some methodological issues and people needed 211 00:11:30,720 --> 00:11:32,640 Speaker 3: to fix them, that's all I mean, we could throw 212 00:11:32,679 --> 00:11:34,960 Speaker 3: that out the window. Twenty twenty was easy. It was 213 00:11:35,200 --> 00:11:38,280 Speaker 3: a fairly easy election a poll. Donald Trump was always 214 00:11:38,360 --> 00:11:41,160 Speaker 3: going to win this election. Anyone who found otherwise was 215 00:11:41,200 --> 00:11:44,880 Speaker 3: either lying, intentionally bad at their job, or just hedging 216 00:11:44,920 --> 00:11:45,800 Speaker 3: because they're a coward. 217 00:11:46,760 --> 00:11:48,959 Speaker 1: Well, well, Richard, I want to hear, and you're right. 218 00:11:49,000 --> 00:11:51,080 Speaker 1: I think I think twenty twenty four never, I think 219 00:11:51,080 --> 00:11:55,839 Speaker 1: it never fundamentally changed. I think I think people saying 220 00:11:55,840 --> 00:11:58,559 Speaker 1: that Biden would have won, even Biden, by the way, 221 00:11:58,640 --> 00:12:00,360 Speaker 1: has said that he would have won if you stated 222 00:12:00,320 --> 00:12:04,080 Speaker 1: it's not true, it's completely not true. So even even 223 00:12:04,160 --> 00:12:06,520 Speaker 1: he has fallen for these lives, I wanted you to 224 00:12:06,559 --> 00:12:09,280 Speaker 1: walk through a phrase that you just mentioned, a concept 225 00:12:09,720 --> 00:12:11,959 Speaker 1: narrative polling. I think I know what you mean, but 226 00:12:12,400 --> 00:12:13,720 Speaker 1: unpack that for our audience. 227 00:12:14,400 --> 00:12:18,440 Speaker 8: Look, and Seltzer held a poll for the Ballpark a 228 00:12:18,559 --> 00:12:22,800 Speaker 8: month that showed that Donald Trump was nearly twenty points 229 00:12:22,800 --> 00:12:25,240 Speaker 8: ahead of Joe Biden in the state of Iowa. They 230 00:12:25,360 --> 00:12:28,000 Speaker 8: never released it. I knew that poll existed. I told 231 00:12:28,040 --> 00:12:30,480 Speaker 8: your viewers on that show it existed. I told Charlie 232 00:12:30,559 --> 00:12:33,200 Speaker 8: kirk ittt existed with you as a co host on 233 00:12:33,320 --> 00:12:37,240 Speaker 8: that show. And then we found out when they pulled 234 00:12:37,400 --> 00:12:40,920 Speaker 8: or were trying to pull the switcheroo on Joe Biden 235 00:12:40,920 --> 00:12:43,960 Speaker 8: after the debate that They used it in a story 236 00:12:44,360 --> 00:12:47,880 Speaker 8: for a narrative that, look, Biden was down twenty and 237 00:12:47,920 --> 00:12:50,960 Speaker 8: nearly twenty points last month, but Kamala is much closer. 238 00:12:51,200 --> 00:12:54,880 Speaker 3: That's narrative polling. They held that for a story. And oh, 239 00:12:55,000 --> 00:12:57,920 Speaker 3: by the way, Kamala Harris was never close in Iowa 240 00:12:58,040 --> 00:13:01,600 Speaker 3: to Donald Trump. In fact, Kamala Harris ran behind Joe 241 00:13:01,600 --> 00:13:04,240 Speaker 3: Biden in most of them, with the Great Lakes and 242 00:13:04,600 --> 00:13:07,079 Speaker 3: the Midwest states throughout. 243 00:13:06,679 --> 00:13:10,880 Speaker 8: Our entire our entire cycles polling. So it didn't mean 244 00:13:10,960 --> 00:13:12,760 Speaker 8: Joe Biden was going to win. It just meant the 245 00:13:12,800 --> 00:13:15,520 Speaker 8: coalition looked a little bit different. And I tried telling 246 00:13:15,559 --> 00:13:17,600 Speaker 8: this to people, who is going to do better in 247 00:13:17,679 --> 00:13:22,679 Speaker 8: Biden Town Pennsylvania. Joe Biden, who's Scranton Joe Biden or 248 00:13:22,760 --> 00:13:25,520 Speaker 8: Canadian Kamala Harris. Who do you think is going to 249 00:13:25,559 --> 00:13:27,760 Speaker 8: perform better in northeastern Pennsylvania. 250 00:13:27,800 --> 00:13:28,680 Speaker 3: It's a no brainer. 251 00:13:28,840 --> 00:13:31,280 Speaker 8: I cannot even believe we're having these conversations in the 252 00:13:32,559 --> 00:13:36,520 Speaker 8: Plaine states and in the farmer areas of Iowa. You know, 253 00:13:36,880 --> 00:13:39,079 Speaker 8: Joe Biden is more like than her. He was still 254 00:13:39,120 --> 00:13:41,560 Speaker 8: going to lose, but he's more like than her. So 255 00:13:41,840 --> 00:13:45,000 Speaker 8: that's for a narrative. She held that poll so the 256 00:13:45,000 --> 00:13:47,679 Speaker 8: Democratic Party could later tell a story. 257 00:13:47,960 --> 00:13:49,120 Speaker 3: That's what she was doing. 258 00:13:49,400 --> 00:13:53,120 Speaker 8: And I'm telling you, you know, that's unacceptable behavior. She 259 00:13:53,280 --> 00:13:56,360 Speaker 8: was paraded around as if she was the gold standard. 260 00:13:56,400 --> 00:13:59,600 Speaker 3: She was not. By the way, John Kerry didn't win 261 00:13:59,679 --> 00:14:00,360 Speaker 3: Iowa either. 262 00:14:00,559 --> 00:14:03,720 Speaker 8: She predicted and pulled her polls suggested he would in 263 00:14:03,800 --> 00:14:05,120 Speaker 8: a very comfortable margin. 264 00:14:05,200 --> 00:14:07,839 Speaker 3: He lost the state of Iowa at George W. Bush. 265 00:14:08,080 --> 00:14:10,360 Speaker 3: So all of this was just always bogus, you know. 266 00:14:10,520 --> 00:14:12,959 Speaker 8: I mean, it was just completely bogus push because when 267 00:14:13,360 --> 00:14:16,440 Speaker 8: when certain polls drop, they want people to believe them more, 268 00:14:16,640 --> 00:14:19,880 Speaker 8: and those polls are are used to set a narrative. 269 00:14:19,920 --> 00:14:20,520 Speaker 3: And it's sad. 270 00:14:20,840 --> 00:14:22,760 Speaker 8: And I used to give people the benefit of the doubt. 271 00:14:22,800 --> 00:14:25,360 Speaker 8: But after this selection, there is no more benefit to give. 272 00:14:25,720 --> 00:14:27,840 Speaker 8: It's over, Jack, There's no more benefit. 273 00:14:27,480 --> 00:14:30,560 Speaker 1: To get than I saw. I saw the hole. 274 00:14:31,120 --> 00:14:31,560 Speaker 3: That's it. 275 00:14:31,840 --> 00:14:33,520 Speaker 1: I saw people at the time, we're trying to give 276 00:14:33,520 --> 00:14:35,120 Speaker 1: her the benefit of the doubt and saying, oh, she's 277 00:14:35,160 --> 00:14:38,480 Speaker 1: really good and maybe there was a methodology issue, et cetera. 278 00:14:38,640 --> 00:14:41,280 Speaker 1: And I'm just I'm sorry, you know, because and I 279 00:14:41,320 --> 00:14:44,000 Speaker 1: saw people taking her. She did this sort of like 280 00:14:44,600 --> 00:14:47,720 Speaker 1: open Q and a on on YouTube talking about the methodology, 281 00:14:47,720 --> 00:14:49,800 Speaker 1: and she just kept writing them off over and over 282 00:14:49,880 --> 00:14:52,280 Speaker 1: and I'm sorry. This was done for a narrative. This 283 00:14:52,440 --> 00:14:54,920 Speaker 1: was not done. Your accuracy were coming back. 284 00:14:55,640 --> 00:14:58,280 Speaker 9: Human Events Daily the post. More of them from the 285 00:14:58,360 --> 00:15:32,040 Speaker 9: twenty twenty four polling Richard, Welcome. 286 00:15:31,680 --> 00:15:34,880 Speaker 10: Back to this Real America's Voice news break. I'm Terrence Bates. 287 00:15:35,360 --> 00:15:39,360 Speaker 10: Several top Trump administration national security officials get addressing down 288 00:15:39,640 --> 00:15:43,280 Speaker 10: before the Senate Intelligence Committee following news that war plans 289 00:15:43,280 --> 00:15:48,280 Speaker 10: were allegedly texted on an unsecured civilian platform. More astonishingly, 290 00:15:48,600 --> 00:15:51,680 Speaker 10: the editor in chief of Atlantic Magazine was included on. 291 00:15:51,760 --> 00:15:53,280 Speaker 5: The text chain and no one noticed. 292 00:15:53,680 --> 00:15:57,920 Speaker 10: The discussion reportedly included plans for upcoming military strikes in Yemen. 293 00:16:00,160 --> 00:16:08,880 Speaker 4: This was the case a military officer or an intelligence 294 00:16:08,920 --> 00:16:11,680 Speaker 4: officer and they had this kind of behavior, they would 295 00:16:11,720 --> 00:16:18,680 Speaker 4: be fired. As I think this is one more example 296 00:16:18,720 --> 00:16:26,160 Speaker 4: of the kind of slompy, careless, incompetent behavior, particularly towards 297 00:16:26,160 --> 00:16:29,600 Speaker 4: classified information, that this is not a one off. 298 00:16:30,280 --> 00:16:31,320 Speaker 3: Or a first time error. 299 00:16:32,280 --> 00:16:34,720 Speaker 10: All of the information was reportedly laid out on the 300 00:16:34,720 --> 00:16:38,560 Speaker 10: messaging app Signal Secretary of Defense Pete Hegseth, along with 301 00:16:38,600 --> 00:16:41,120 Speaker 10: Secretary of State Marc or Rubio, and Director of National 302 00:16:41,160 --> 00:16:45,120 Speaker 10: Intelligence Telsey Gabbard were reportedly on that thread. 303 00:16:45,520 --> 00:16:49,800 Speaker 11: Can you share how your information about war plans against 304 00:16:49,840 --> 00:16:52,640 Speaker 11: the Hoopis and Yemen was shared with a journalist in 305 00:16:52,680 --> 00:16:56,000 Speaker 11: the Atlantic and where those details classified? 306 00:16:56,640 --> 00:17:03,200 Speaker 12: So you're talking about a deceitful and highly discredited so 307 00:17:03,360 --> 00:17:08,080 Speaker 12: called journalists who's made a profession of pedaling hoaxes time 308 00:17:08,119 --> 00:17:10,560 Speaker 12: and time again, to include the I don't know. 309 00:17:11,200 --> 00:17:13,920 Speaker 3: The hoaxes of Russia, Russia, Russia, or. 310 00:17:13,880 --> 00:17:17,760 Speaker 12: The fine people on both sides hoax or suckers and 311 00:17:17,800 --> 00:17:21,080 Speaker 12: losers hopes. So this is the guy the pedals in garbage. 312 00:17:21,280 --> 00:17:22,200 Speaker 3: This is what he does. 313 00:17:23,160 --> 00:17:26,040 Speaker 10: In the meantime, the National Security Council is now looking 314 00:17:26,080 --> 00:17:29,240 Speaker 10: into the breach and how Goldberg's number, he of course 315 00:17:29,320 --> 00:17:31,879 Speaker 10: is the editor in chief of The Atlantic, was added 316 00:17:31,920 --> 00:17:34,800 Speaker 10: to a text chain that included again the Vice President, 317 00:17:35,000 --> 00:17:37,679 Speaker 10: the Secretary of Defense, the Secretary of State, and the 318 00:17:37,720 --> 00:17:39,400 Speaker 10: Director of National Intelligence. 319 00:17:39,840 --> 00:17:41,840 Speaker 5: That's a quick check of your headlines. 320 00:17:48,000 --> 00:17:50,400 Speaker 1: Today. You know that you talk about influencers. 321 00:17:50,440 --> 00:17:53,200 Speaker 6: These are influencers and their. 322 00:17:53,080 --> 00:17:54,159 Speaker 5: Friends of mine. 323 00:17:54,720 --> 00:18:02,159 Speaker 1: Jack, He's got a great down on a episode for 324 00:18:02,280 --> 00:18:05,240 Speaker 1: backs Human Events Daily. Now Rich you know, we talked 325 00:18:05,280 --> 00:18:08,040 Speaker 1: about Antelta in the last, the last segment, but I 326 00:18:08,080 --> 00:18:11,640 Speaker 1: gotta get you in then the Mom with Paul. I know, Rich, 327 00:18:11,760 --> 00:18:14,919 Speaker 1: this is your favorite. Paul east Side were your besties. 328 00:18:15,280 --> 00:18:17,840 Speaker 1: I know that you guys had this wonderful relationship. You 329 00:18:17,920 --> 00:18:20,200 Speaker 1: used to come on here all during twenty twenty four 330 00:18:20,280 --> 00:18:22,680 Speaker 1: talk about how much you love the mom with Paul. 331 00:18:22,720 --> 00:18:24,879 Speaker 1: You just you just you'd sit up the night before 332 00:18:24,920 --> 00:18:27,360 Speaker 1: the Mom and Paul would come out. You'd get so excited, 333 00:18:27,560 --> 00:18:29,840 Speaker 1: you know, like like like a little kid on Christmas Eve, 334 00:18:29,920 --> 00:18:32,520 Speaker 1: waiting for the mom and Paul to drop. Yeah, no, 335 00:18:32,560 --> 00:18:35,280 Speaker 1: that's not like up. I think Rich's relationship was a 336 00:18:35,320 --> 00:18:40,080 Speaker 1: little bit different. Tell me your thoughts when you heard 337 00:18:40,680 --> 00:18:42,639 Speaker 1: put us in the room, paint the picture. When you 338 00:18:42,720 --> 00:18:46,520 Speaker 1: heard that mom Meth was shutting their entire polling operation. 339 00:18:47,080 --> 00:18:51,960 Speaker 8: Install laughter, belly pain from the chuckles, you know, I 340 00:18:52,000 --> 00:18:53,560 Speaker 8: mean them and and the the. 341 00:18:53,640 --> 00:18:57,800 Speaker 1: Article had to cover this ally what I mean mentioned 342 00:18:57,800 --> 00:18:59,440 Speaker 1: They're like, oh, this shut it down, blow blah, like 343 00:18:59,560 --> 00:19:02,480 Speaker 1: it not. They didn't run that poll all over the 344 00:19:02,520 --> 00:19:03,880 Speaker 1: place during the election. 345 00:19:04,440 --> 00:19:07,639 Speaker 8: All over the place, And there were only two columns 346 00:19:07,680 --> 00:19:09,560 Speaker 8: that made a big deal out of it. 347 00:19:09,680 --> 00:19:11,440 Speaker 3: One was on New Jersey dot Com. The other one 348 00:19:11,480 --> 00:19:12,240 Speaker 3: was a Star Ledger. 349 00:19:12,480 --> 00:19:15,840 Speaker 8: And you see they're using words like gold standard polls, 350 00:19:15,880 --> 00:19:19,760 Speaker 8: shuttering its doors after X number of years, and excellence 351 00:19:19,760 --> 00:19:22,480 Speaker 8: since Patrick Murray came over in the early two thousands, 352 00:19:22,520 --> 00:19:24,640 Speaker 8: and I think he did in like five or something, 353 00:19:25,640 --> 00:19:29,800 Speaker 8: and then buried in page four there's the mentioned briefly 354 00:19:30,200 --> 00:19:32,640 Speaker 8: of how he had to write an op ed apologizing 355 00:19:32,680 --> 00:19:36,200 Speaker 8: for how bad his polling is after their own states 356 00:19:36,280 --> 00:19:41,959 Speaker 8: gubernatorial election, their own states gubernatorial election, which he missed 357 00:19:42,080 --> 00:19:45,439 Speaker 8: by about ten points. He showed that Patrick Murphy, of 358 00:19:45,440 --> 00:19:49,520 Speaker 8: course a Democrat, was going to easily beat Jack Sidarelli, 359 00:19:50,000 --> 00:19:53,240 Speaker 8: the Republican, and it was a nail bier. They had 360 00:19:53,280 --> 00:19:56,800 Speaker 8: the stuff absentees in Bergton County in order to keep 361 00:19:57,480 --> 00:19:58,800 Speaker 8: Governor Murphy in his seat. 362 00:19:59,200 --> 00:20:01,119 Speaker 3: So he wrote an art and he didn't I mean, 363 00:20:01,119 --> 00:20:02,960 Speaker 3: he acted like he accepted blame. 364 00:20:03,240 --> 00:20:05,520 Speaker 8: But then within by the time he got to sentence 365 00:20:05,600 --> 00:20:08,280 Speaker 8: three and four, it went on to, you know what, 366 00:20:08,440 --> 00:20:10,399 Speaker 8: we may not be able to do this anymore because 367 00:20:10,440 --> 00:20:13,600 Speaker 8: horse race polling may not be possible. 368 00:20:13,960 --> 00:20:15,440 Speaker 3: It may just not be possible. 369 00:20:15,760 --> 00:20:19,280 Speaker 8: No, it's possible for some of us, it's maybe not 370 00:20:19,480 --> 00:20:24,720 Speaker 8: possible for somebody like him, and some people do it intentionally. 371 00:20:24,760 --> 00:20:28,560 Speaker 8: I mean, in twenty sixteen, Mamas was absolutely waiting for 372 00:20:28,680 --> 00:20:31,320 Speaker 8: party to get Hillary Clinton closer to Donald Trump and 373 00:20:31,359 --> 00:20:34,960 Speaker 8: battleground states or indeed kind of, you know, comfortably ahead 374 00:20:35,520 --> 00:20:38,680 Speaker 8: of Hillary of Donald Trump in state sty polled, such 375 00:20:38,680 --> 00:20:41,280 Speaker 8: as Pennsylvania, which they missed by seven points. 376 00:20:41,800 --> 00:20:44,840 Speaker 3: But when you miss your own state, Okay, for years, 377 00:20:44,880 --> 00:20:47,800 Speaker 3: I was a guy who's, Okay, what's really happening in Florida, 378 00:20:48,040 --> 00:20:50,400 Speaker 3: let's look at what the people's pundit has because those 379 00:20:50,480 --> 00:20:52,760 Speaker 3: races used to be razor thin, and we had a 380 00:20:52,840 --> 00:20:56,120 Speaker 3: very good track record when you miss your own state. 381 00:20:57,640 --> 00:21:00,879 Speaker 1: Very humiliately ridgewond it on Hornes, Well, I'm going to 382 00:21:00,960 --> 00:21:04,720 Speaker 1: do this. Rich Barris was the first person in America 383 00:21:04,800 --> 00:21:08,880 Speaker 1: to talk about the Hispanic swing, which started in Florida, 384 00:21:08,960 --> 00:21:11,840 Speaker 1: which then carried over through the rest of the states. 385 00:21:12,160 --> 00:21:14,959 Speaker 1: Wherever you saw this this sizable Hispanic population that they 386 00:21:15,000 --> 00:21:17,880 Speaker 1: were all swinging to Trump, it started in Florida. Rich 387 00:21:18,000 --> 00:21:21,720 Speaker 1: Barris was the birth person. Even before any of these 388 00:21:21,760 --> 00:21:25,520 Speaker 1: other quote unquote gold standard polsters we're talking about it. 389 00:21:25,680 --> 00:21:30,000 Speaker 1: Rich Barris was five years ago, half a decade ago. 390 00:21:30,240 --> 00:21:33,320 Speaker 1: That was Rich Barris, the People's Pudet who told us 391 00:21:33,320 --> 00:21:33,800 Speaker 1: it was coming. 392 00:21:35,320 --> 00:21:35,639 Speaker 5: Yeah, and. 393 00:21:37,160 --> 00:21:40,639 Speaker 3: I will give him one thing. He did entertain that 394 00:21:40,720 --> 00:21:43,080 Speaker 3: notion back then. But then, like everybody else in that 395 00:21:43,160 --> 00:21:46,399 Speaker 3: social circle, Jack, he folded. But it was you know, 396 00:21:46,440 --> 00:21:48,440 Speaker 3: going on that. Let me say something about that. 397 00:21:49,280 --> 00:21:52,600 Speaker 8: Just now you see some of these people responding to 398 00:21:53,160 --> 00:21:55,040 Speaker 8: things we have been talking about for years. And we 399 00:21:55,080 --> 00:21:58,520 Speaker 8: can get into this in more detail, but before we do, 400 00:21:58,720 --> 00:22:00,640 Speaker 8: before I do, I will say this, he did take 401 00:22:00,680 --> 00:22:04,000 Speaker 8: my side once in this dispute with Anne Seltzer, going 402 00:22:04,040 --> 00:22:06,919 Speaker 8: back to twenty twenty in the Democratic caucuses, she was 403 00:22:06,960 --> 00:22:08,919 Speaker 8: polling for CNN in a joint poll with the Des 404 00:22:09,000 --> 00:22:12,520 Speaker 8: Moines Register and they spiked the final poll, which means 405 00:22:12,560 --> 00:22:15,800 Speaker 8: they did not release it yet. Remember that the Sunday 406 00:22:15,840 --> 00:22:19,159 Speaker 8: before the election, Cernovich and I both get our hands 407 00:22:19,160 --> 00:22:22,080 Speaker 8: on this poll. It's leaked to us both. It's very 408 00:22:22,119 --> 00:22:26,360 Speaker 8: obvious what happened. Joe Biden was trailing badly and Pete 409 00:22:26,400 --> 00:22:29,679 Speaker 8: Buddha Judge was used as an excuse for why they 410 00:22:29,720 --> 00:22:31,800 Speaker 8: didn't release the poll, and they were claiming the Buddha 411 00:22:31,840 --> 00:22:35,080 Speaker 8: Judge and Biden campaigns had issues with the poll because 412 00:22:35,359 --> 00:22:37,760 Speaker 8: they had found out about somebody that wasn't asked about 413 00:22:37,800 --> 00:22:41,600 Speaker 8: Pete Buddha Judge. And when they investigated it, one interviewer 414 00:22:41,920 --> 00:22:44,080 Speaker 8: had the zoom set on her screen, so when she 415 00:22:44,160 --> 00:22:47,679 Speaker 8: was reading the interview jack it was zoomed in and 416 00:22:47,680 --> 00:22:49,960 Speaker 8: cutting off Jeff Pete Bootera Judge's name. 417 00:22:50,440 --> 00:22:53,720 Speaker 3: So they spiked it. And that is not a legitimate 418 00:22:53,840 --> 00:22:55,080 Speaker 3: reason to spike a poll. 419 00:22:55,160 --> 00:22:58,320 Speaker 8: For example, that I mean, if I give people any 420 00:22:58,359 --> 00:23:02,000 Speaker 8: given shift that an interviewer is conducting a poll, they 421 00:23:02,040 --> 00:23:04,760 Speaker 8: maybe gathered themselves a handful of interviews. You need a 422 00:23:04,800 --> 00:23:07,520 Speaker 8: lot of people interviewing, So in that event, you would 423 00:23:07,560 --> 00:23:10,280 Speaker 8: just get rid of her responses to make sure that 424 00:23:10,359 --> 00:23:13,040 Speaker 8: you didn't get anything that's tainted. You could go back 425 00:23:13,080 --> 00:23:14,720 Speaker 8: and easily check whether or not she did it to 426 00:23:14,760 --> 00:23:15,520 Speaker 8: anybody else. 427 00:23:16,520 --> 00:23:18,679 Speaker 1: And you can wait that. But it was games that 428 00:23:18,680 --> 00:23:24,159 Speaker 1: they played Mona down five thirty eight down folks from 429 00:23:24,200 --> 00:23:27,240 Speaker 1: all them with Riche Barris. Yet we're talking about the 430 00:23:27,480 --> 00:23:33,520 Speaker 1: death of legacy, pulling giants, the rise of Richard Barrs 431 00:23:33,600 --> 00:23:36,080 Speaker 1: and the peoples on this very vacuum events Saily. 432 00:24:03,920 --> 00:24:08,040 Speaker 10: Several top Trump administration national security officials get a dressing 433 00:24:08,080 --> 00:24:10,320 Speaker 10: down before the Senate Intelligence Committee. 434 00:24:10,359 --> 00:24:11,879 Speaker 5: Hello, everyone, I'm Terrence Bates. 435 00:24:11,880 --> 00:24:13,840 Speaker 10: Thanks so much for joining us for this Real America's 436 00:24:13,920 --> 00:24:17,520 Speaker 10: Voice news break. The dressing down came following news that 437 00:24:17,600 --> 00:24:22,000 Speaker 10: war plans were allegedly texted on an unsecured civilian platform. 438 00:24:22,200 --> 00:24:25,040 Speaker 10: Or astonishing love is that the editor in chief of 439 00:24:25,080 --> 00:24:28,080 Speaker 10: The Atlantic magazine was included on that text chain and 440 00:24:28,080 --> 00:24:32,520 Speaker 10: no one noticed. The discussion reportedly included plans for upcoming 441 00:24:32,560 --> 00:24:34,119 Speaker 10: military strikes in Yemen. 442 00:24:34,960 --> 00:24:35,439 Speaker 1: Is this. 443 00:24:36,920 --> 00:24:37,760 Speaker 3: Was the case. 444 00:24:39,320 --> 00:24:44,880 Speaker 4: A military officer or an intelligence officer and they had 445 00:24:44,920 --> 00:24:52,159 Speaker 4: this kind of behavior, they would be fired as I 446 00:24:52,200 --> 00:24:56,560 Speaker 4: think this is one more example of the kind of sloppy, careless, 447 00:24:57,480 --> 00:25:03,720 Speaker 4: incompetent behavior, particularly towards classified information. That this is not 448 00:25:03,800 --> 00:25:06,399 Speaker 4: a one off or a first time error. 449 00:25:07,240 --> 00:25:09,639 Speaker 10: All of the information was reportedly laid out on the 450 00:25:09,680 --> 00:25:13,359 Speaker 10: messaging app Signal. Secretary of Defense Pete Haigseth, along with 451 00:25:13,400 --> 00:25:16,840 Speaker 10: Secretary of State Marco Rubio and Director of National Intelligence 452 00:25:16,960 --> 00:25:20,920 Speaker 10: Tolcy Gabbard were reportedly on that thread. The National Security 453 00:25:20,960 --> 00:25:23,760 Speaker 10: Council is now looking into the breach and how Goldberg, 454 00:25:23,840 --> 00:25:26,800 Speaker 10: he is the editor in chief involved. Here's number was 455 00:25:26,840 --> 00:25:30,800 Speaker 10: added to the text chain and in other headlines this morning, 456 00:25:31,440 --> 00:25:34,879 Speaker 10: President Trump's borders are Tom Holman giving border patrol and 457 00:25:35,000 --> 00:25:38,400 Speaker 10: ICE agents a big high five, saying that border crossings 458 00:25:38,400 --> 00:25:41,920 Speaker 10: are down ninety six percent from the previous administration. While 459 00:25:41,960 --> 00:25:44,520 Speaker 10: talking with reporters outside the White House, he almost took 460 00:25:44,560 --> 00:25:47,679 Speaker 10: exception to comparisons between the work he's doing. 461 00:25:47,600 --> 00:25:51,320 Speaker 5: And what was done under the Biden administration. We secure 462 00:25:51,400 --> 00:25:51,680 Speaker 5: the board. 463 00:25:51,760 --> 00:25:54,159 Speaker 13: We're down border across in ninety six percent, so we 464 00:25:54,160 --> 00:25:56,160 Speaker 13: don't have the millions of people come across the border. 465 00:25:56,400 --> 00:25:57,720 Speaker 13: Just compare our removing numbers. 466 00:25:57,760 --> 00:25:58,640 Speaker 5: His is just ridiculous. 467 00:25:58,760 --> 00:26:01,800 Speaker 13: We need Congress to fund this mandate for the American 468 00:26:01,920 --> 00:26:05,000 Speaker 13: people because with more money, we're gonna do more. We 469 00:26:05,000 --> 00:26:07,240 Speaker 13: need to buy more beds, we need more airplane flights, 470 00:26:07,240 --> 00:26:09,160 Speaker 13: we need more officers on the ground, We need more 471 00:26:09,160 --> 00:26:11,840 Speaker 13: contracts with companies. Are going to do a lot of 472 00:26:11,880 --> 00:26:14,960 Speaker 13: work that doesn't require back to gunn So the more 473 00:26:15,000 --> 00:26:17,480 Speaker 13: money we have from Congress, the more successful will be 474 00:26:17,520 --> 00:26:18,040 Speaker 13: on the ground. 475 00:26:20,480 --> 00:26:21,879 Speaker 14: And Jack, where's Jack? 476 00:26:23,400 --> 00:26:24,240 Speaker 3: Where's Jack? 477 00:26:25,720 --> 00:26:26,640 Speaker 6: Where is it? 478 00:26:26,960 --> 00:26:28,120 Speaker 1: Jack? I want to see you. 479 00:26:30,560 --> 00:26:33,600 Speaker 14: Great job, Jack, Thank you, what a job you do. 480 00:26:34,040 --> 00:26:36,080 Speaker 3: You know, we have an incredible thing. We're always talking 481 00:26:36,119 --> 00:26:37,159 Speaker 3: about the fake news and. 482 00:26:37,200 --> 00:26:39,879 Speaker 1: The band, but we have guys, and these are the 483 00:26:39,920 --> 00:26:43,280 Speaker 1: guys that are begetting bull Asiski and we'll back Jack 484 00:26:43,440 --> 00:26:47,080 Speaker 1: Sovia here Human Events Daily live on Real America's voys 485 00:26:47,119 --> 00:26:50,879 Speaker 1: and bringing in the third hour audience. Charlie Kirk on 486 00:26:51,160 --> 00:26:54,240 Speaker 1: the Salem Radio Network. Folks, last week, I got to 487 00:26:54,280 --> 00:26:56,640 Speaker 1: talk about this last week because gold just did something 488 00:26:56,800 --> 00:26:59,680 Speaker 1: the mainstream media completely did not expect, hitting all time 489 00:26:59,760 --> 00:27:03,960 Speaker 1: high over three thousand dollars an ounce, and experts now 490 00:27:04,000 --> 00:27:06,560 Speaker 1: forecast that it could hit thirty five hundred by the 491 00:27:06,600 --> 00:27:10,160 Speaker 1: third quarter. Meanwhile, the world is watching history unfold. Cheriks. 492 00:27:10,320 --> 00:27:14,840 Speaker 1: Inflation wouldn't fudge market correction and a weakening dollar because 493 00:27:14,880 --> 00:27:18,680 Speaker 1: Trump works to clean up the Biden economic mess. One 494 00:27:18,720 --> 00:27:21,639 Speaker 1: thing is clear. If you don't control your wealth, you're exposed. 495 00:27:21,840 --> 00:27:23,919 Speaker 1: That's why I urge you to take action today and 496 00:27:24,000 --> 00:27:27,400 Speaker 1: call allegiance goals eight four four five seven seven seven 497 00:27:27,480 --> 00:27:29,879 Speaker 1: six seven six. You've seen them on a show that 498 00:27:29,920 --> 00:27:31,600 Speaker 1: if you call them right now, they can make it 499 00:27:31,640 --> 00:27:35,240 Speaker 1: easier for you. We'll learn about starting a gold ira today. 500 00:27:35,280 --> 00:27:36,960 Speaker 1: You can ask him any question you want. You can 501 00:27:37,000 --> 00:27:39,000 Speaker 1: have golden and silver right to your door. It's so 502 00:27:39,160 --> 00:27:41,879 Speaker 1: easy you might even qualify for up to five thousand 503 00:27:41,920 --> 00:27:45,720 Speaker 1: dollars in free silver. So it's called a four four five, seven, seven, 504 00:27:45,880 --> 00:27:49,160 Speaker 1: seven six, seven six seventy six seventy six. We've got 505 00:27:49,200 --> 00:27:53,399 Speaker 1: to protect Withposo dot com. Imagine where gold will be 506 00:27:53,480 --> 00:27:56,280 Speaker 1: headed next? Will you be playing ahead of the curve 507 00:27:56,440 --> 00:27:59,080 Speaker 1: or playing ketchup? Don't sit on this and regret it 508 00:27:59,160 --> 00:28:03,280 Speaker 1: later eight four five, seven, seven seventy six seventy six, 509 00:28:03,440 --> 00:28:06,720 Speaker 1: or protectiveposo dot com. It's eight four four, five seven, 510 00:28:06,840 --> 00:28:11,320 Speaker 1: seven seventy six seventy six. Protect Withposo dot com. So 511 00:28:11,480 --> 00:28:14,600 Speaker 1: roll with Rich Paris, the people's pundit. We're talking about 512 00:28:14,600 --> 00:28:18,720 Speaker 1: how the media completely got twenty sixteen, twenty twenty, and 513 00:28:18,880 --> 00:28:21,120 Speaker 1: twenty twenty four wrong, yet they got twenty twenty wrong. 514 00:28:21,440 --> 00:28:24,640 Speaker 1: That's a story another day, though, a story for another day. 515 00:28:25,720 --> 00:28:27,960 Speaker 1: Perhaps you know where's the ball that Joe buy the 516 00:28:28,040 --> 00:28:33,199 Speaker 1: voters go, especially those swing states. Isn't it weird, by 517 00:28:33,240 --> 00:28:35,600 Speaker 1: the way, that the same states that had the most 518 00:28:35,680 --> 00:28:41,120 Speaker 1: universal ballots were Pennsylvania, Michigan, and Wisconsin that had the lockdowns, 519 00:28:41,160 --> 00:28:44,360 Speaker 1: the universal nail in ballots, all of the nonsense, and 520 00:28:44,680 --> 00:28:49,160 Speaker 1: with the three Democrat governors of Joshapiro and Whitmer and 521 00:28:49,240 --> 00:28:52,160 Speaker 1: Evers over in Wisconsin, and we just didn't seem to 522 00:28:52,160 --> 00:28:54,479 Speaker 1: crack the code of what was really going on. But 523 00:28:54,560 --> 00:28:58,360 Speaker 1: you know, he digress and digress. But there remains to 524 00:28:58,400 --> 00:29:02,080 Speaker 1: be unfinished business on all of that. Rich What was 525 00:29:02,200 --> 00:29:05,160 Speaker 1: really going on in twenty twenty four, because you and 526 00:29:05,160 --> 00:29:07,240 Speaker 1: I were on here every day, we were talking about 527 00:29:07,360 --> 00:29:10,960 Speaker 1: this phenomenon that you would originally identify. We talked about 528 00:29:11,000 --> 00:29:14,600 Speaker 1: the below prop voters, these people who don't usually vote 529 00:29:14,640 --> 00:29:17,560 Speaker 1: many elections. But you talked about the phenomenon of the 530 00:29:17,720 --> 00:29:22,160 Speaker 1: no prop voter. This is a phrase you coined, and 531 00:29:22,200 --> 00:29:24,959 Speaker 1: you said, these are just people who have never voted, 532 00:29:25,000 --> 00:29:29,240 Speaker 1: either because they're young or because they've just never been 533 00:29:29,280 --> 00:29:32,600 Speaker 1: involved in the political process before. But you correctly identified 534 00:29:32,800 --> 00:29:37,720 Speaker 1: that Donald Trump was switching them on and that they 535 00:29:37,800 --> 00:29:40,880 Speaker 1: were more likely to vote for Trump. They're not. They're 536 00:29:41,200 --> 00:29:46,680 Speaker 1: not exactly as conservative as your sort of core Republican voter. 537 00:29:46,920 --> 00:29:49,960 Speaker 1: They're not four or four Republicans at all. They were 538 00:29:50,280 --> 00:29:53,920 Speaker 1: pro Trump. And this is something that the media all 539 00:29:53,960 --> 00:29:56,760 Speaker 1: of a sudden is acting like it's this huge revelation. 540 00:29:56,840 --> 00:29:59,680 Speaker 1: And I've seen people, you know, going on MSNBC now saying, 541 00:29:59,680 --> 00:30:04,720 Speaker 1: oh my gosh, we've uncovered some incredible secret that Donald 542 00:30:04,760 --> 00:30:08,280 Speaker 1: Trump is more popular than ever. More people had voted, 543 00:30:08,280 --> 00:30:11,040 Speaker 1: his numbers would have only gone up. But I'm like, guys, 544 00:30:11,200 --> 00:30:14,320 Speaker 1: we talked about it literally every single day for like 545 00:30:14,440 --> 00:30:18,240 Speaker 1: forty weeks straight, when we had Rich Barison explaining this 546 00:30:18,400 --> 00:30:21,600 Speaker 1: over and over and over, and you guys just didn't 547 00:30:21,680 --> 00:30:25,240 Speaker 1: listen because you were wrong and we were right. Rich, 548 00:30:25,560 --> 00:30:28,280 Speaker 1: What was the true story of twenty twenty four And 549 00:30:28,400 --> 00:30:30,440 Speaker 1: how is it that these people who were thinking like 550 00:30:30,480 --> 00:30:33,600 Speaker 1: they magically just found out have always been completely in 551 00:30:33,640 --> 00:30:33,960 Speaker 1: the dark. 552 00:30:34,840 --> 00:30:39,239 Speaker 3: Yeah, Ultimately this was a result of the realignment and 553 00:30:39,280 --> 00:30:42,840 Speaker 3: it had massive implications on the coalition and the outcome 554 00:30:42,880 --> 00:30:45,720 Speaker 3: of the vote. And we first identified the no prompt 555 00:30:45,800 --> 00:30:49,800 Speaker 3: voter when we began to really study in greater detail 556 00:30:49,880 --> 00:30:54,120 Speaker 3: than others were even bothering to try. The Trump or 557 00:30:54,160 --> 00:30:57,240 Speaker 3: bust a voter, right as somebody who comes out and 558 00:30:57,320 --> 00:30:59,360 Speaker 3: votes for Donald Trump or would if you could get 559 00:30:59,400 --> 00:31:01,720 Speaker 3: them to the ballot box, but they will never vote 560 00:31:01,760 --> 00:31:03,880 Speaker 3: for anybody else. They're not going to vote for Nikki Haley, 561 00:31:04,000 --> 00:31:06,760 Speaker 3: they're not going to vote for Ron DeSantis, and they 562 00:31:06,840 --> 00:31:09,480 Speaker 3: lean to the right. But most of them will say 563 00:31:09,520 --> 00:31:11,760 Speaker 3: that their moderates, and by the way, twenty four was 564 00:31:11,960 --> 00:31:16,160 Speaker 3: very moderate the electorate. It was as a percentage of 565 00:31:16,160 --> 00:31:19,600 Speaker 3: the electorate, it usually would be that chair would represent 566 00:31:19,600 --> 00:31:22,960 Speaker 3: a Republican loss. But because of these no prop voters 567 00:31:23,080 --> 00:31:26,360 Speaker 3: actually coming out for the first time, Trump was able 568 00:31:26,360 --> 00:31:29,720 Speaker 3: to utilize them to win the election. Years ago, USA 569 00:31:29,800 --> 00:31:31,400 Speaker 3: Today used to do a survey and it was called 570 00:31:31,400 --> 00:31:35,480 Speaker 3: the unlikely voter survey. People understood that that number did 571 00:31:35,480 --> 00:31:37,959 Speaker 3: matter and had predictive value, but it was a massive 572 00:31:37,960 --> 00:31:41,720 Speaker 3: implication of the realignment because many years ago and my 573 00:31:41,960 --> 00:31:47,160 Speaker 3: entire career, those voters were Democratic voters because the Democratic 574 00:31:47,200 --> 00:31:49,520 Speaker 3: Party was departing of the working man and woman and 575 00:31:49,560 --> 00:31:52,200 Speaker 3: the average working men and women, and they don't vote 576 00:31:53,080 --> 00:31:56,719 Speaker 3: at the rate that educated voters and politicos vote. So 577 00:31:57,280 --> 00:32:01,360 Speaker 3: we identified them seeing them in that Trumper number, and 578 00:32:01,440 --> 00:32:04,200 Speaker 3: it was a very significant number. All right, there's noe. 579 00:32:04,200 --> 00:32:05,880 Speaker 8: We would ask him to if you could vote, if 580 00:32:06,360 --> 00:32:08,080 Speaker 8: you were going to vote, who would you vote for? 581 00:32:08,120 --> 00:32:10,160 Speaker 3: And it was only Donald Trump? So what does that mean? 582 00:32:10,680 --> 00:32:14,360 Speaker 3: The likely voter sample in polling is now more democratic 583 00:32:14,400 --> 00:32:17,480 Speaker 3: than the registered voter sample, and the adult sample is 584 00:32:17,560 --> 00:32:20,680 Speaker 3: now more trumpy than either the register or likely. It 585 00:32:20,760 --> 00:32:21,600 Speaker 3: means that. 586 00:32:21,480 --> 00:32:24,760 Speaker 8: Trump, especially Trump, I mean, it's really not a Republican voter, 587 00:32:24,840 --> 00:32:28,360 Speaker 8: it's a Trump vote. He had enormous opportunity to go 588 00:32:28,440 --> 00:32:30,840 Speaker 8: out and get these people, and if he did, he 589 00:32:30,880 --> 00:32:31,960 Speaker 8: would change the electorate. 590 00:32:32,000 --> 00:32:34,520 Speaker 3: He would make polsters look like fools. And that's exactly 591 00:32:34,600 --> 00:32:38,080 Speaker 3: what happened. But now two years later we see people 592 00:32:38,120 --> 00:32:38,400 Speaker 3: like you. 593 00:32:38,320 --> 00:32:41,920 Speaker 8: Said on MSNBC, Harry Enton from CNN does this segment 594 00:32:42,080 --> 00:32:46,400 Speaker 8: and they're acting as if they've they've made this novel discovery, Jack, 595 00:32:46,680 --> 00:32:49,360 Speaker 8: Like this hasn't been going on for a very long time, 596 00:32:49,400 --> 00:32:49,680 Speaker 8: and in. 597 00:32:49,640 --> 00:32:51,680 Speaker 3: Fact, we saw it from the very beginning of the 598 00:32:51,680 --> 00:32:55,160 Speaker 3: Trump movement. Trump got people out in sixteen that had 599 00:32:55,200 --> 00:32:59,440 Speaker 3: not voted since Bill Clinton. They're not just necessarily young voters. 600 00:32:59,600 --> 00:33:02,959 Speaker 3: Some of these people, especially in the Midwest, middle aged 601 00:33:03,240 --> 00:33:06,360 Speaker 3: to just about to be in the senior you know, 602 00:33:06,360 --> 00:33:09,000 Speaker 3: they're forty five to sixty four, that age group. That 603 00:33:09,160 --> 00:33:12,120 Speaker 3: was an extremely trumpy voter, and they either had no 604 00:33:12,320 --> 00:33:15,000 Speaker 3: vote history at all or they did not have a 605 00:33:15,120 --> 00:33:18,040 Speaker 3: vote history within the last four cycles, which is why 606 00:33:18,080 --> 00:33:20,000 Speaker 3: we use the term like one out of four voter. 607 00:33:20,080 --> 00:33:23,080 Speaker 8: They've only voted in one out of the last four elections, 608 00:33:23,680 --> 00:33:26,800 Speaker 8: and this is one of the biggest findings of the 609 00:33:26,800 --> 00:33:30,560 Speaker 8: twenty twenty four election, along with, of course, the change 610 00:33:30,560 --> 00:33:34,600 Speaker 8: in vote preference for a Republican candidate among people of color, 611 00:33:34,920 --> 00:33:38,040 Speaker 8: among younger voters. So you know, I mean, there are 612 00:33:38,040 --> 00:33:39,920 Speaker 8: studies being done now and we're all going to see 613 00:33:39,920 --> 00:33:42,760 Speaker 8: them very soon. I've seen several of them. We always 614 00:33:42,760 --> 00:33:45,720 Speaker 8: wait for these post election autopsies. It looks like Trump 615 00:33:45,840 --> 00:33:48,520 Speaker 8: won in several states, he won some of the young, 616 00:33:48,600 --> 00:33:50,120 Speaker 8: non white vote. 617 00:33:50,240 --> 00:33:54,480 Speaker 3: It's just incredible. It's just a remarkable outcome. But you 618 00:33:54,480 --> 00:33:57,200 Speaker 3: would not have been surprised if you did follow the 619 00:33:57,200 --> 00:33:59,800 Speaker 3: public polling project that we conductor. You followed big Data, 620 00:33:59,800 --> 00:34:02,120 Speaker 3: Bole learn people's pond in, or you watch Jack Withstobek, 621 00:34:02,440 --> 00:34:04,480 Speaker 3: and you know, we were talking about it on one 622 00:34:04,480 --> 00:34:06,920 Speaker 3: of our segments. So when you watch these people now 623 00:34:07,000 --> 00:34:08,920 Speaker 3: act as if this came out of the blue, and 624 00:34:08,960 --> 00:34:11,680 Speaker 3: you know, it's a big revelation, it wasn't. Anyone who 625 00:34:11,680 --> 00:34:14,480 Speaker 3: was really paying attention, doing an honest job and being 626 00:34:14,520 --> 00:34:17,000 Speaker 3: honest with people would have been able to see this 627 00:34:17,080 --> 00:34:19,239 Speaker 3: and identify it. You should have been. 628 00:34:19,440 --> 00:34:24,440 Speaker 1: We we talked about class realignment over and over and over. 629 00:34:24,880 --> 00:34:27,200 Speaker 1: We talked about and how it was being done on 630 00:34:27,440 --> 00:34:32,440 Speaker 1: economic lines, which shut across ethnic lines. That's why you 631 00:34:32,480 --> 00:34:35,440 Speaker 1: saw the big swing, particularly with African American men. When 632 00:34:35,480 --> 00:34:38,560 Speaker 1: we talked about the fact that the Democrats saw it too. 633 00:34:38,920 --> 00:34:41,440 Speaker 1: That's why they put Barack Obama out there to have 634 00:34:41,560 --> 00:34:45,240 Speaker 1: him start scolding African American men. Remember, come on, brothers, 635 00:34:45,480 --> 00:34:48,239 Speaker 1: come on, brothers, we gotta we gotta help our sister out. 636 00:34:48,360 --> 00:34:51,759 Speaker 1: Remember that trins thing I've ever seen. I would know 637 00:34:52,000 --> 00:34:56,480 Speaker 1: the DNC when Barack Obama spoke. I remembered in the 638 00:34:56,560 --> 00:34:58,839 Speaker 1: room when he gave the speech. We infiltrated the whole 639 00:34:58,840 --> 00:35:01,600 Speaker 1: thing and were in there, and I was like, this 640 00:35:01,680 --> 00:35:04,040 Speaker 1: guy has seen the numbers. He's see We used to 641 00:35:04,080 --> 00:35:07,000 Speaker 1: have this joke it was Kamala's internals, right, but but 642 00:35:07,120 --> 00:35:11,080 Speaker 1: Kamala's internals were basically our externals on this side of 643 00:35:11,080 --> 00:35:14,040 Speaker 1: the football, because we were just telling the truth all along, 644 00:35:14,360 --> 00:35:17,880 Speaker 1: and her internals were exactly the same. That's how you 645 00:35:17,880 --> 00:35:20,520 Speaker 1: could tell their actions or or you know, these these 646 00:35:20,600 --> 00:35:23,239 Speaker 1: jokes about like well, you know she's she's up big, 647 00:35:23,280 --> 00:35:25,120 Speaker 1: and where they're trying to say she's up big in Florida, 648 00:35:25,200 --> 00:35:27,080 Speaker 1: Why does she going to Florida. Then why didn't she 649 00:35:27,120 --> 00:35:29,960 Speaker 1: going to Florida? If if she's up in all these areas, 650 00:35:30,239 --> 00:35:33,319 Speaker 1: why isn't the you know, if she was so up 651 00:35:33,320 --> 00:35:36,480 Speaker 1: in Iowa, why didn't Tim Waltz go to ever to 652 00:35:36,600 --> 00:35:39,720 Speaker 1: Iowa when he is the governor of the neighboring states. 653 00:35:40,680 --> 00:35:44,360 Speaker 1: Basic things, the basic things that we could do to 654 00:35:44,400 --> 00:35:47,719 Speaker 1: fact check the numbers that and point out that their 655 00:35:47,800 --> 00:35:51,359 Speaker 1: actions always only made sense if you saw them through 656 00:35:51,400 --> 00:35:54,839 Speaker 1: the lens of what we were talking about, because internally 657 00:35:54,920 --> 00:35:57,359 Speaker 1: they were not lying. Internally, they were telling the truth. 658 00:35:57,640 --> 00:35:59,239 Speaker 1: And that's why you didn't even see a big freak 659 00:35:59,239 --> 00:36:01,600 Speaker 1: out from the Democrat establishment when Trump blaught, because they 660 00:36:01,640 --> 00:36:03,320 Speaker 1: knew he was going to win the whole time. 661 00:36:04,440 --> 00:36:06,560 Speaker 3: And on the flip side of that, there was the 662 00:36:06,640 --> 00:36:08,880 Speaker 3: other lie, which is that there was going to be 663 00:36:08,960 --> 00:36:12,720 Speaker 3: a massive blowback that maybe even if this is happening 664 00:36:12,760 --> 00:36:15,800 Speaker 3: that people like the People's Pundin and others are saying, 665 00:36:16,080 --> 00:36:19,120 Speaker 3: even if he's really doing better with younger voters, with 666 00:36:19,200 --> 00:36:21,840 Speaker 3: non white voters, it doesn't matter because there's going to 667 00:36:21,920 --> 00:36:27,880 Speaker 3: be this massive revolt, this massive defection of white Republican women, 668 00:36:28,200 --> 00:36:32,120 Speaker 3: especially educated white Republican women in the suburbs, and that 669 00:36:32,320 --> 00:36:34,560 Speaker 3: was the other side of that lie. And you had 670 00:36:34,560 --> 00:36:36,080 Speaker 3: people like Dave Washerman on. 671 00:36:36,000 --> 00:36:39,920 Speaker 8: Twitter basically not basically, he said the day before the election, 672 00:36:40,239 --> 00:36:43,239 Speaker 8: will know immediately when we see New Jersey, because we're 673 00:36:43,280 --> 00:36:45,040 Speaker 8: going to see Mammoth County come in and I know, 674 00:36:45,080 --> 00:36:47,480 Speaker 8: you know this area of New Jersey and Mommoth County 675 00:36:47,480 --> 00:36:49,719 Speaker 8: will tell us because there's a ton of white Republican 676 00:36:49,760 --> 00:36:51,960 Speaker 8: women there and he didn't do well with them last time, 677 00:36:52,040 --> 00:36:54,120 Speaker 8: and blah blah blah. At the end of the day, 678 00:36:54,200 --> 00:36:57,799 Speaker 8: Donald Trump obviously expanded his advantage in Mammouth County and 679 00:36:57,800 --> 00:37:00,600 Speaker 8: Flip County's like Morris because none of that happened. 680 00:37:00,840 --> 00:37:03,000 Speaker 3: You could go through Upper. 681 00:37:02,760 --> 00:37:06,800 Speaker 8: Bucking Upper and Lower Buckingham one two in Bucks County, 682 00:37:06,880 --> 00:37:07,920 Speaker 8: and you can see that. 683 00:37:07,840 --> 00:37:10,520 Speaker 3: These are very educated areas. By the way, there's you know, 684 00:37:10,560 --> 00:37:13,799 Speaker 3: you have Lower one, which is more working class, Lower two, 685 00:37:13,880 --> 00:37:15,080 Speaker 3: which is more educated. 686 00:37:15,640 --> 00:37:18,239 Speaker 8: The head of Merk lives over there, guys. I mean, 687 00:37:18,239 --> 00:37:20,640 Speaker 8: that's the kind of area it is. Donald Trump not 688 00:37:20,719 --> 00:37:25,600 Speaker 8: only improved this performance in those areas, he won them both, 689 00:37:25,880 --> 00:37:27,319 Speaker 8: so he was winning work. 690 00:37:27,760 --> 00:37:29,719 Speaker 1: Some of the only people there were some of the 691 00:37:29,840 --> 00:37:32,799 Speaker 1: only people who pointed out that Trump was going to 692 00:37:32,880 --> 00:37:37,400 Speaker 1: do better with suburban white women. We talked about the 693 00:37:37,440 --> 00:37:41,719 Speaker 1: impact of the trends in women's sports. This was a 694 00:37:41,920 --> 00:37:44,840 Speaker 1: huge issue there. We talked about I wrote a whole 695 00:37:44,880 --> 00:37:49,240 Speaker 1: obed about the migrant violence, the MS thirteen, the lacoln 696 00:37:49,280 --> 00:37:52,360 Speaker 1: Riley's all of that, And of course it can't be 697 00:37:52,440 --> 00:37:57,440 Speaker 1: denied the Maha movement. The Maha movement is probably and 698 00:37:57,640 --> 00:38:00,000 Speaker 1: I'm just gonna say it right, it's probably the most 699 00:38:00,040 --> 00:38:04,200 Speaker 1: popular political movement in all of America today. Maha is 700 00:38:04,280 --> 00:38:06,799 Speaker 1: more popular than MAGA. And I say that it's like 701 00:38:06,840 --> 00:38:09,960 Speaker 1: a card carrying you know, Maga guy. It's just true. 702 00:38:10,200 --> 00:38:14,600 Speaker 1: It's insanely popular. So the idea that the Democrats could 703 00:38:14,719 --> 00:38:18,880 Speaker 1: run against this entire constellation of things, they just don't understand. 704 00:38:18,920 --> 00:38:22,840 Speaker 1: And Trump understands this. He intrinsically understands that this is 705 00:38:22,880 --> 00:38:26,200 Speaker 1: where the country was at. That's why he steered where 706 00:38:26,239 --> 00:38:28,200 Speaker 1: he was, That's why he put together the coalition the 707 00:38:28,239 --> 00:38:30,680 Speaker 1: way that he did, and that's why he got the 708 00:38:30,760 --> 00:38:33,640 Speaker 1: results that he did. Last minute, Bridge Barris in a segment. 709 00:38:34,680 --> 00:38:36,840 Speaker 8: Yeah, I would basically point out that what you just 710 00:38:36,880 --> 00:38:39,359 Speaker 8: said is absolutely right. And we did do the four 711 00:38:39,400 --> 00:38:43,320 Speaker 8: Freedom's poll leading up to the election, which showed that 712 00:38:43,320 --> 00:38:47,239 Speaker 8: that MAHA movement was it. That was the final nail 713 00:38:47,280 --> 00:38:49,360 Speaker 8: in the coffin of the Harris campaign as if she 714 00:38:49,440 --> 00:38:52,760 Speaker 8: was ever going to win. But it bridged this gap 715 00:38:53,400 --> 00:38:57,240 Speaker 8: between you know, people that were attracted to what people 716 00:38:57,280 --> 00:39:00,799 Speaker 8: like Robert Kennedy was saying about food and freedoms of 717 00:39:00,840 --> 00:39:03,520 Speaker 8: food and healths freedoms, and that was the final nail 718 00:39:03,520 --> 00:39:04,080 Speaker 8: in the coffin. 719 00:39:04,120 --> 00:39:06,920 Speaker 3: It was more than the margin. And that said that 720 00:39:06,920 --> 00:39:08,760 Speaker 3: that was the ballgame, and it gave them. 721 00:39:08,560 --> 00:39:11,919 Speaker 1: A permission to say, I'm not just voting the Trump Yeah, 722 00:39:12,040 --> 00:39:15,560 Speaker 1: voting for the team with Bobby Kennedy on it. We'll 723 00:39:15,600 --> 00:39:17,919 Speaker 1: be right back here with more human event day. 724 00:39:39,760 --> 00:39:41,000 Speaker 3: Jack is a great guy. 725 00:39:41,040 --> 00:39:44,000 Speaker 7: He's written that fantastic look and everybody's talking about it. 726 00:39:44,080 --> 00:39:44,600 Speaker 1: Go get it. 727 00:39:45,160 --> 00:39:47,319 Speaker 12: And he's been my friend right from the beginning of 728 00:39:47,360 --> 00:39:48,640 Speaker 12: this whole beautiful event. 729 00:39:49,200 --> 00:39:51,840 Speaker 3: And we're going to turn her around and make our way. 730 00:39:51,719 --> 00:39:52,799 Speaker 1: To get him a man. 731 00:39:55,520 --> 00:39:58,600 Speaker 14: According to the NBC poll, Donald Trump achieved his highest 732 00:39:58,640 --> 00:40:03,040 Speaker 14: approval rating ever he's ever had either time that he 733 00:40:03,120 --> 00:40:06,640 Speaker 14: has been president. Huh, you wouldn't believe that from the 734 00:40:06,680 --> 00:40:11,319 Speaker 14: headlines and the Democrat Party well, it turns out that 735 00:40:11,800 --> 00:40:16,680 Speaker 14: pretty much nobody can stand them. Here's NBC pollster Steve Kornaki. 736 00:40:17,360 --> 00:40:19,919 Speaker 14: Look at this number for the Democratic Party right now, 737 00:40:20,160 --> 00:40:24,320 Speaker 14: just twenty seven percent positive fifty five percent negative. 738 00:40:24,560 --> 00:40:27,560 Speaker 5: That's a gap of twenty eight points. 739 00:40:28,440 --> 00:40:31,840 Speaker 14: Fascinating stuff that. And then there was the old question 740 00:40:32,160 --> 00:40:36,120 Speaker 14: is the country on the right track or the wrong track? Well, again, 741 00:40:36,880 --> 00:40:41,080 Speaker 14: despite the media hyperventilating about every damn thing Trump does 742 00:40:41,120 --> 00:40:45,040 Speaker 14: being the end of democracy as we know it, guess what, 743 00:40:45,920 --> 00:40:48,359 Speaker 14: more Americans think the country is heading in the right 744 00:40:48,400 --> 00:40:53,080 Speaker 14: direction than they have for at least a decade. 745 00:40:57,800 --> 00:41:00,600 Speaker 10: I'm working long hours, I'm always listening to Human Events 746 00:41:00,600 --> 00:41:01,320 Speaker 10: with Jack Pisode. 747 00:41:01,520 --> 00:41:05,960 Speaker 1: We're back final Segments, Human Events Daily, Salem Radio, Real 748 00:41:06,120 --> 00:41:11,640 Speaker 1: America's Voice with the People's Pundit Rich. More Americans now 749 00:41:11,719 --> 00:41:15,000 Speaker 1: believe that America is on the right track than have 750 00:41:15,280 --> 00:41:21,360 Speaker 1: in a very long time. President Trump obviously obviously driving 751 00:41:21,400 --> 00:41:24,960 Speaker 1: forth behind that the MAGA and MAHA movements that are 752 00:41:24,960 --> 00:41:29,960 Speaker 1: firing on all cylinders this I've described. The London Review 753 00:41:30,000 --> 00:41:32,640 Speaker 1: of Books, by the way, is quoting me saying that 754 00:41:32,680 --> 00:41:36,120 Speaker 1: what President Trump is doing right now is instituting an 755 00:41:36,239 --> 00:41:41,479 Speaker 1: actual regime change in Washington, DC, and the people are saying, Look, 756 00:41:41,920 --> 00:41:45,040 Speaker 1: this is what we voted for, this is what we wanted. 757 00:41:45,040 --> 00:41:47,239 Speaker 1: This is in fact, this is what America wanted back 758 00:41:47,320 --> 00:41:50,279 Speaker 1: in twenty seventeen. And there's a whole story about why 759 00:41:50,280 --> 00:41:53,239 Speaker 1: this didn't happen because the regime fought back, but this 760 00:41:53,320 --> 00:41:56,800 Speaker 1: time around now that last gas, but the regime really 761 00:41:56,960 --> 00:41:59,840 Speaker 1: was Joe Biden. And then this insane Hail Mary with 762 00:42:00,040 --> 00:42:03,799 Speaker 1: Kamala Harris Rich. What's going on with President Frum's true 763 00:42:03,840 --> 00:42:07,000 Speaker 1: approval ratings right now? What are you seeing is the 764 00:42:07,040 --> 00:42:09,560 Speaker 1: coalition that's building and what are you looking at? 765 00:42:10,560 --> 00:42:10,920 Speaker 5: First? 766 00:42:11,040 --> 00:42:12,359 Speaker 3: Let me just tell people this. 767 00:42:12,719 --> 00:42:16,160 Speaker 8: If a polster cannot pull an election, they can't pull 768 00:42:16,200 --> 00:42:19,520 Speaker 8: anything else. So if they can't tell you accurately who's 769 00:42:19,560 --> 00:42:23,359 Speaker 8: going to win, what support levels each candidate has, then 770 00:42:23,400 --> 00:42:26,440 Speaker 8: you really cannot trust a word of what they say 771 00:42:26,520 --> 00:42:30,280 Speaker 8: when it comes to approval ratings, favorability ratings, even support 772 00:42:30,360 --> 00:42:34,359 Speaker 8: or opposition towards an issue or a bill. Do they 773 00:42:34,400 --> 00:42:37,120 Speaker 8: support gun control, do they not support gun control? Do 774 00:42:37,200 --> 00:42:40,200 Speaker 8: they approve or disapprove of the president of this congressman, 775 00:42:40,239 --> 00:42:43,880 Speaker 8: of this senator. The test for any polster comes on 776 00:42:43,960 --> 00:42:46,840 Speaker 8: election day. It's the only way for you guys to 777 00:42:47,200 --> 00:42:49,880 Speaker 8: evaluate us in the quality of our work and the 778 00:42:49,920 --> 00:42:53,439 Speaker 8: accuracy of our work. So Reuters, Zipsos, the New York 779 00:42:53,480 --> 00:42:56,000 Speaker 8: Times all throw them all in a big bucket. Who 780 00:42:56,160 --> 00:42:59,120 Speaker 8: cares what they say about his approval rating? You can't 781 00:42:59,120 --> 00:43:02,320 Speaker 8: trust it. Con't get the election right. They're not getting 782 00:43:02,360 --> 00:43:06,480 Speaker 8: that right either, right. So I would also quote Mark Penn, 783 00:43:06,719 --> 00:43:09,399 Speaker 8: all of these negative approval polls are coming from people 784 00:43:09,480 --> 00:43:12,000 Speaker 8: who did not do a good job during the election. 785 00:43:12,280 --> 00:43:15,799 Speaker 8: So we actually have not had Trump go negative yet 786 00:43:15,880 --> 00:43:18,239 Speaker 8: in our own polling. Now, of course there was a 787 00:43:18,280 --> 00:43:21,880 Speaker 8: honeymoon period and he hit as high as plus eighteen 788 00:43:22,560 --> 00:43:24,160 Speaker 8: with the approvals. 789 00:43:24,239 --> 00:43:25,480 Speaker 3: That we've gathered. 790 00:43:25,520 --> 00:43:28,080 Speaker 8: But now it's back down a planet Earth, where you 791 00:43:28,120 --> 00:43:31,760 Speaker 8: see for a typical popular president ranging anywhere between plus 792 00:43:31,760 --> 00:43:33,960 Speaker 8: two when it gets a little hairy form and certain 793 00:43:34,040 --> 00:43:36,000 Speaker 8: you know, certain times, all the way back up to 794 00:43:36,120 --> 00:43:37,839 Speaker 8: where it looks like it's going to be today, which 795 00:43:37,880 --> 00:43:41,040 Speaker 8: is plus four. So I was thinking at the start 796 00:43:41,040 --> 00:43:43,400 Speaker 8: of this week, maybe it'll go negative, but so far 797 00:43:43,440 --> 00:43:45,839 Speaker 8: it hasn't tied back up, which I just looked at 798 00:43:45,920 --> 00:43:48,080 Speaker 8: right now before the between the commercial break. 799 00:43:48,920 --> 00:43:50,839 Speaker 3: So that's where we really are. 800 00:43:50,960 --> 00:43:54,800 Speaker 8: I mean and it's normal to see somebody come back down. Now, 801 00:43:55,080 --> 00:43:56,880 Speaker 8: I think a big part of it is people are 802 00:43:57,000 --> 00:43:59,480 Speaker 8: kind of waiting to see whether he delivered. And I'm 803 00:43:59,520 --> 00:44:02,840 Speaker 8: starting to think that after we got some economic numbers 804 00:44:03,040 --> 00:44:05,600 Speaker 8: and of course what inflation, people always know before you 805 00:44:05,680 --> 00:44:08,560 Speaker 8: hear those numbers. And I'm thinking that's why maybe we're 806 00:44:08,560 --> 00:44:10,680 Speaker 8: seeing a little bit of a rebound, because for a 807 00:44:10,680 --> 00:44:13,040 Speaker 8: few weeks people were basically saying, look, we think you 808 00:44:13,080 --> 00:44:15,680 Speaker 8: can do this, but we are waiting and kind of 809 00:44:16,040 --> 00:44:19,560 Speaker 8: reserving judgment. So right now I may be somewhat approved 810 00:44:19,640 --> 00:44:22,480 Speaker 8: or somewhat disapproved. And now they're coming back into the 811 00:44:22,480 --> 00:44:25,720 Speaker 8: camp of being more solid about their positions. So we'll see, 812 00:44:25,840 --> 00:44:27,880 Speaker 8: you know, and we'll always, you know, give you the 813 00:44:27,920 --> 00:44:29,000 Speaker 8: latest on where that is. 814 00:44:29,080 --> 00:44:30,879 Speaker 3: But again, all of the. 815 00:44:30,880 --> 00:44:33,000 Speaker 8: Negative polls, with the exception of one who I think 816 00:44:33,080 --> 00:44:35,960 Speaker 8: was grifting anyway, the entire election, those of us who 817 00:44:36,000 --> 00:44:39,879 Speaker 8: did a good job have been roughly in the same 818 00:44:39,920 --> 00:44:40,919 Speaker 8: ballpark with each other. 819 00:44:40,960 --> 00:44:41,840 Speaker 3: I mean, if you look. 820 00:44:41,719 --> 00:44:47,920 Speaker 8: At us, Rasmussen pan over it Harvard and Robert Cahelly 821 00:44:47,960 --> 00:44:50,799 Speaker 8: did a good job too, over at your Valgar, there's 822 00:44:50,880 --> 00:44:51,840 Speaker 8: very few of us, you know. 823 00:44:51,840 --> 00:44:53,560 Speaker 3: I mean, honestly, you can count them on one hand. 824 00:44:54,360 --> 00:44:55,359 Speaker 3: We're all in the same ball. 825 00:44:56,920 --> 00:45:02,279 Speaker 1: It's the fundamentals, right, the fundamental positions that led the 826 00:45:02,360 --> 00:45:05,560 Speaker 1: no prop voter to become the you know, the Trump 827 00:45:05,600 --> 00:45:09,160 Speaker 1: prop voter, if you want to call it, which which, 828 00:45:09,520 --> 00:45:11,279 Speaker 1: by the way, I'm going to throw this out there, 829 00:45:11,400 --> 00:45:14,560 Speaker 1: that any any of these Republicans and we've kind to 830 00:45:14,600 --> 00:45:16,839 Speaker 1: get you back on Ridge to talk about the twenty 831 00:45:16,880 --> 00:45:19,399 Speaker 1: twenty eight primary, which has already begune. It's in full 832 00:45:19,440 --> 00:45:25,960 Speaker 1: sway already. And and you know, pretty much everybody in 833 00:45:26,000 --> 00:45:28,640 Speaker 1: the twenty twenty eight primary, I think was apparently all 834 00:45:28,640 --> 00:45:34,520 Speaker 1: in a signal chat together recently that sorry I had 835 00:45:34,560 --> 00:45:37,839 Speaker 1: to say it, but look, you know, those voters, they're 836 00:45:37,840 --> 00:45:39,319 Speaker 1: not going to be there for people who don't have 837 00:45:39,320 --> 00:45:40,880 Speaker 1: Trump on their names. They're just not going to be 838 00:45:40,920 --> 00:45:42,719 Speaker 1: there for them. So you've got to look at the 839 00:45:42,719 --> 00:45:45,400 Speaker 1: country and fundament a different way. And so Trump's approval 840 00:45:45,480 --> 00:45:49,080 Speaker 1: rating is riding high on the fact that people who 841 00:45:49,600 --> 00:45:51,600 Speaker 1: he brought into the process they like him, they like 842 00:45:51,680 --> 00:45:53,680 Speaker 1: the style, they like the Maga style, they like the 843 00:45:53,680 --> 00:45:56,480 Speaker 1: Trump style. They're not necessarily going to be there for 844 00:45:56,640 --> 00:46:00,680 Speaker 1: any other candidates. So of courrigiating bands in Kang said, 845 00:46:00,760 --> 00:46:03,400 Speaker 1: if you're a tulsy gap whoever right, whoever you know, 846 00:46:03,760 --> 00:46:05,919 Speaker 1: Ronda Santez, if you want to run again, you probably will. 847 00:46:06,400 --> 00:46:08,880 Speaker 1: You've got to bank on that, and you are exku me. 848 00:46:08,960 --> 00:46:11,640 Speaker 1: You can't bank on that. You have to understand the 849 00:46:11,760 --> 00:46:15,520 Speaker 1: reality on rounds, Rich Barris, where could people go to 850 00:46:15,640 --> 00:46:19,399 Speaker 1: follow you? Incredible? We could go on for another two hours, We. 851 00:46:19,440 --> 00:46:22,120 Speaker 3: Really could, but unfortunately we just don't have it right. 852 00:46:22,239 --> 00:46:25,279 Speaker 3: People's pundit dot locals dot com. That's the best place 853 00:46:25,280 --> 00:46:28,120 Speaker 3: to follow me. People's pundent locals dot com. Thanks Jack, 854 00:46:28,200 --> 00:46:29,800 Speaker 3: all the best, brothers. 855 00:46:30,000 --> 00:46:30,800 Speaker 1: Ladies and gentlemen. 856 00:46:30,840 --> 00:46:47,800 Speaker 9: As always, you have my permission to way sure